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    "long_description": "The Muse is a values-based careers site that helps Gen Z and millennial candidates find a career path and search for jobs at companies whose people, benefits, and values align with their unique professional needs. For employers, our marketplace results in a more efficient hiring process that results in better \"matches\" - and therefore better retention.",
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        "title": "Founder/COO",
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        "full_name": "Melissa Quino McCreery",
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    "name": "SendHub",
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    "website": "http://sendhub.com",
    "all_locations": "San Francisco, CA, USA; Pleasanton, CA, USA",
    "long_description": "SendHub makes business communication fast, simple, and effective. Our complete online business SMS messaging solution helps thousands of companies communicate more effectively with on-the-go workforces, customers, and more. \r\n\r\nSendHub is a Y-Combinator graduate, and is backed by Menlo Ventures, Kapor Capital, 500 startups, the Seraph Group, Paul Buchheit, Eric Ries, Jawed Karim and Jeb Bush.",
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    "long_description": "Hipmob brings easy to use live chat, helpdesk, feedback and customer engagement tools to mobile and tablet businesses. Whether you're a mobile-native startup, a small business going mobile, or a large public company with a growing mobile business, we give you the tools to increase sales, transform customer support, and make your customers happy. \n\nWith real time contextual information about your customers including device, app, OS, geographic info and more, you'll be able to make take actions that improve your bottomline. Our partnerships and integrations (see more at www.hipmob.com/documentation) mean that we'll fit right into your team's habits.\n\nAND, we're insanely responsive to customer feedback - email us with questions at ayo@hipmob.com!",
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        "linkedin_url": "https://www.linkedin.com/in/kalvin",
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    "name": "HireArt",
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    "website": "http://hireart.com",
    "all_locations": "New York City, NY, USA; New York, NY, USA",
    "long_description": "Hire Smarter with HireArt.\r\n\r\nWe're a modern staffing agency that uses work samples and video assessments to generate deeper insight & connect contractors to companies where they'll thrive.\r\n\r\nOur graders and account managers individually assess each candidate on culture fit, experience, and communication skills. The proof is in the talent: our candidates have filled roles at leading start-up and technology companies like Facebook, Airbnb, and Waymo. \r\n\r\nWe put people first, from our candidates to our clients, we believe in the power of transparent hiring.\r\n\r\nLearn more about our team and our platform at HireArt.com.",
    "one_liner": "Gives businesses everything needed to hire & manage W2 contractors.",
    "team_size": 90,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1322045617,
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      "HR Tech"
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        "date": "Jul 18, 2022"
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    "name": "Amiato",
    "slug": "amiato",
    "former_names": [
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    "website": "http://noudata.com",
    "all_locations": "San Francisco, CA, USA; Palo Alto, CA, USA",
    "long_description": "Amiato's real-time integration service moves your data to where it's\nmost valuable to you. Today's flexible databases like MongoDB and\nCouchBase let agile businesses accelerate and scale their operations,\nbut analyzing their data has been elusive. Amiato unlocks the value of\nthat unstructured data by bridging the gap to familiar tools in the\nrich structured world of BI, all with zero setup work. Run reports, do\ninteractive ad-hoc analysis, and combine disparate silos. Our\nSchema-lift (TM) technology allows you to immediately integrate new\nendpoints and seamlessly keep up with changes in your data. We get\ncustomers up and running in a day instead of weeks, and let them focus\non business instead of wrestling infrastructure.",
    "one_liner": "The BI bridge for unstructured data. We automatically bridge the gap…",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1322045630,
    "tags": [
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      "Big Data"
    ],
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    "isHiring": false,
    "nonprofit": false,
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    "status": "Acquired",
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      "Infrastructure"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/amiato",
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    "name": "HackPad",
    "slug": "hackpad",
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    "website": "http://hackpad.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Smart collaborative documents. Company wiki. Personal notes. Event planning. Classroom collaboration.",
    "one_liner": "A realtime wiki for getting things done.",
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    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
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    "tags": [
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      "Collaboration"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2012",
    "status": "Acquired",
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      "Productivity"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/hackpad",
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        "full_name": "Igor Kofman",
        "title": "Founder",
        "founder_bio": "Co-founder and Co-CEO at Act Now Coalition (covidactnow.org)\nFounder at Hackpad (YC W12) -> Dropbox Paper\n",
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    "name": "Rescale",
    "slug": "rescale",
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    "website": "https://rescale.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rescale is a cloud-based platform for computational engineering and R&D, that empowers engineers and researchers to accelerate discovery, testing, and optimization. We democratize access to the latest technologies that drive greater efficiency and competitiveness, including high performance computing, simulation, modeling, AI/ML, and digital twins.\r\n\r\nThe majority of industry leaders worldwide use Rescale as the backbone of R&D, connecting the digital thread of new product innovation to develop products that enrich humanity, from autonomous vehicles to drug discovery. Rescale customers include 7 of the top 10 automotive companies and 3 of the top 6 life science companies.\r\n\r\nRescale’s full-stack, open platform automates systems, data, and workflows into a user-centric experience, so customers can focus on innovation. Choose from 1000+ pre-installed applications for multiphysics simulation and AI/ML-assisted design exploration, including commercial, open-source, and custom software. We offer the largest global network of hyperscale and specialty cloud infrastructure to leverage the latest CPU, GPU, and other specialized architectures.\r\n\r\nRescale is enterprise-ready to enable any size organization to achieve their digital transformation goals–with unified management that gives IT teams full visibility and control of hybrid-cloud operations. Rescale’s intelligent automation gives customers flexibility to improve performance and reduce costs of computing, while our enhanced security and compliance ensures industry-leading standards are met from end to end.\r\n\r\nGetting started is simple, flexible, and free to try. Our team of experts is ready to help you achieve your most ambitious engineering goals – schedule a demo today.\r\n\r\nJoin us and help us build products that change the world: www.rescale.com/careers",
    "one_liner": "High Performance Computing Built for the Cloud",
    "team_size": 250,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1322045674,
    "tags": [
      "Cloud Computing"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2012",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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      {
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        "answer": "Full story is available in a 2-part episode of the Big Compute Podcast:* [A Cloud Startup Story (Part 1)](https://www.bigcompute.org/podcast/a-cloud-startup-story-part-1)* [A Cloud Startup Story (Part 2)](https://www.bigcompute.org/podcast/a-cloud-startup-story-part-2)"
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        "title": "HackerRank, a platform for recruiters to test coders and coders to hone skills, raises $60M at ~$500M valuation – TechCrunch",
        "url": "https://techcrunch.com/2022/03/29/hackerrank-a-platform-for-recruiters-to-test-coders-and-coders-to-hone-their-skills-raises-60m-at-a-500m-valuation/",
        "date": "Mar 29, 2022"
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      {
        "id": 97749,
        "title": "Chakra: AI interviewer that finally works",
        "tagline": "An AI interviewer that's trained to evaluate AI-first skills across roles with integrity built-in",
        "body": "I’m Vivek, Co-founder and CEO at HackerRank (YC S11). We’re launching a new product - Chakra: an AI Interviewer that actually helps hiring teams screen candidates faster with evidence-backed interview reports.\n\n**The problem we see**\n\nWe’re seeing recruiters and hiring managers are dealing with:\n\n* Too many applicants and too much scheduling overhead for early rounds.\n* Lower signal-to-noise because many applications are polished by AI or outright fabricated .\n* Rising interview integrity issues — including tools marketed to “cheat” during interviews.\n\nTeams spend tons of valuable human time on the wrong candidates - and hiring managers don’t trust early-round signals.\n\n**What Is Chakra**\n\n![uploaded image](/media/?type=post&id=97749&key=user_uploads/10668/d2057e04-0171-4320-9e63-77ae90329042)\n\n\\\n\\\nChakra is an AI Interviewer by HackerRank that runs structured, voice/video screening interviews based on your rubric and delivers decision-ready reports backed by evidence.\n\nDemo video - <https://youtu.be/6v5h-7Q4O2c>  \n\n**How it works**\n\n1. Configure the role, competencies, and rubric in a chat-based setup.\n2. Invite candidates easily via email, a simple link, or directly through your ATS\n3. Chakra conducts a voice/video based interview on your behalf, intelligently adapting to get the signals you need.\n4. You get an instant report with an actionable recommendation, skill-level feedback aligned with your rubric, transcript references, and full session replay.\n\n**What makes it different**\n\nThere are a lot of “AI interviewers” right now, but most fall into one of two buckets:\n\n1. Niche / single-skill evaluators, or\n2. Single-modal experiences that don’t generate robust, trustworthy signal\n\nChakra is designed to be multi-modal (voice, video, IDE, whiteboard etc.) and versatile across roles, while still producing grounded, auditable evidence in the report.\n\n![uploaded image](/media/?type=post&id=97749&key=user_uploads/10668/43e35ddd-bdde-4c00-b579-324bdc45b650)\n\n**YC community asks / offers**\n\n* If you’re hiring right now, you can try [this sample FDE interview](https://www.chakra.sh/interviewer/1enskc0p2qs/session), I’d love feedback on:\n  * Rubric setup (does it match how you actually hire?)\n  * Candidate experience (does it feel fair and natural?)\n  * Report quality (is it truly decision-ready?)\n* You can request access at [chakra.sh](http://chakra.sh)\n* Or simply reach me at @rvivek on X or via email at [vivek@hackerrank.com](mailto:vivek@hackerrank.com)",
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        "full_name": "George Deglin",
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        "title": "Senior Software Engineer, Journeys Team (Fullstack)",
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        "location": "United States - Remote / Remote (US)",
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        "title": "OneSignal Secures Investment From ServiceNow Ventures",
        "url": "https://www.cmswire.com/the-wire/onesignal-secures-investment-from-servicenow-ventures/",
        "date": "Feb 02, 2023"
      },
      {
        "title": "OneSignal Launches Support for iOS Live Activities",
        "url": "https://onesignal.com/blog/new-live-activities-support-to-help-you-drive-loyalty-faster/",
        "date": "Dec 14, 2022"
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      {
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        "url": "https://techcrunch.com/2022/09/01/onesignal-lands-50m-to-automatically-optimize-sms-in-app-and-email-outreach/",
        "date": "Sep 01, 2022"
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        "id": 105807,
        "title": "OneSignal is powering Autonomous Lifecycle Marketing for B2C Companies",
        "tagline": "Announcing our Autonomous Lifecycle Marketing Vision and new products including OneSignal AI, Brand Center, MCP, and Slack Agent",
        "body": "Hi Launch YC,\n\nI'm the founder and CEO of OneSignal. Today, we're announcing our new AI vision, and I'm excited to share it with the Launch YC community.\n\n<https://www.youtube.com/watch?v=r7ccDbGVJ5U>\n\n**The problem**\n\nOneSignal first went through YC as a mobile gaming company called Hiptic Games.\n\nAfter pivoting away from mobile games, we used our experience to uncover an opportunity to truly \"Make something people want,\" and began working toward a mission to Democratize Customer Engagement for B2C companies.\n\nFor years, most B2C marketing automation products have had lengthy implementation processes, dated interfaces, and a learning curve steep enough that many teams hire a full-time expert. 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This AI vision enables us to empower under-resourced marketing teams with the time and expertise that has seemed always out of reach.\n\nWe've broken this mission into phases, which we think of as an autonomy ladder. Most marketers don't want to hand the keys to an autonomous system on day one, so we'll roll out features that build the systems and trust needed at each step.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/09a43a18-3ca8-4268-bd70-ab1798220546)\n\n**Level 0 — Manual.** The dashboard. A marketer drives every click, and the team scales by hiring. This is where the entire category has lived.\n\n**Level 1 — Assistance.** AI drafts copy, suggests audiences, and explains your analytics in plain language. You review and ship. This is live today.\n\n**Level 2 — Expert Assist.** AI becomes proactive. It recommends campaigns to fill lifecycle gaps, flags mistakes, and checks your work. Your input is still required.\n\n**Level 3 — Agentic Autopilot.** You delegate bounded work, and AI does it within the scope and rules you've defined. You approve work in batches.\n\n**Level 4 — Full Operator.** You set the goals and the guardrails. AI plans, sends, tests, and improves campaigns against them, reaching out only when it needs you.\n\n**What we're launching today**\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/da0aff66-9335-4ac3-87bf-d61aaa95b014)\n\n**OneSignal AI** — An in-product agent that can do everything a person can: generate message copy, design emails, analyze message performance, and recommend next steps to maximize user engagement. Best of all, it can create and analyze complex multi-step Journeys, saving hours of work.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/f96522b2-51f9-404c-83fe-5b8bcbf4618a)\n\n**Brand Kit** — Define your audience, voice and tone, industry, and visual assets on a centralized configuration page or pull them automatically from your website. Set guardrails for language to avoid. OneSignal AI uses your Brand Kit when generating copy, email designs, and in-app messages.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/b4c791bc-66cd-4849-afbf-d6921338d492)\n\n**OneSignal MCP** — Brings OneSignal's capabilities to the AI tools and agents you already use. The MCP is available now on the ChatGPT and Cursor marketplaces, coming soon to the Claude marketplace, and available through Smithery for any other AI client. 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        "created_at": "2026-07-14T22:59:31.042Z"
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        "title": "Building APIs for AI: An Interview with Zapier’s Bryan Helmig | Y Combinator",
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    "one_liner": "Voice messaging platform - Acquired by Palantir in 2013",
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        "founder_bio": "Co-Founder, BackerKit",
        "is_active": true,
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        "date": "Feb 07, 2025"
      },
      {
        "title": "This year’s lull in D&D content is a huge opportunity for indie teams | Polygon",
        "url": "https://www.polygon.com/opinion/506731/indie-ttrpg-creators-self-promotion-crowdfunding-collab-funding-2025",
        "date": "Jan 13, 2025"
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      {
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        "url": "https://www.polygon.com/tabletop-games/465964/mothership-collab-funding-wages-of-sin",
        "date": "Oct 16, 2024"
      },
      {
        "title": "Brandon Sanderson will bring his next project to Kickstarter competitor BackerKit | Polygon",
        "url": "https://www.polygon.com/24079383/backerkit-2024-goals-brandon-sanderson",
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      {
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        "url": "https://www.polygon.com/23794845/backerkit-exits-beta-kickstarter-crowdfunding-board-game-announcement",
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    "long_description": "Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. Biotech R&D is radically transforming our world, but to move at the new speed of science, scientists need better technology.\r\n\r\nBenchling’s mission is to unlock the power of biotechnology. The world’s biotech leaders and innovators use our R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mashgin creates better retail experiences through visual automation. \r\n\r\nWe’ve built a self-checkout kiosk that uses computer vision to scan multiple items without barcodes, reducing checkout time by 10x. We’re completely recreating the checkout experience in an industry that’s had little innovation in decades.\r\n\r\nOur clients see dramatic reductions in lines and revenue increases of as much as 400% as a result.",
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    "team_size": 150,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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      "AI"
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    "status": "Active",
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      "Retail"
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Back in the early 2010s, Mukul was hard at work helping Toyota determine how computers could use cameras to interpret and interact with the world. But Mukul had a problem - every day, he would go to get his lunch, and every day he’d spend most of that time (30-40 minutes) waiting in line in his corporate cafeteria. He decided to take a closer look at the issue and decided that computer vision could be the answer. After some initial testing, Mukul felt the idea was a big opportunity and flew to California to pitch his idea.There he reconnected with Abhinai, who was his classmate in the same dorm at IIT Delhi. He created an early demo that was so impressive that it convinced Abhinai to join him.Having worked in large companies and created some enormously successful projects, we were disheartened by the fact that when a project became successful, several people came in at the final stages to take credit. We decided to be founders and create a company that valued people’s contributions honestly and cut through the corporate bullshit.After successfully cold-calling head executives from some of the largest corporate cafeteria operators on the planet, we received many enthusiastic responses to our description of Mashgin’s Touchless Checkout System. He then set out to actually build it.After successfully building and demoing a Mashgin prototype to the YC team, Mashgin went from “project” to “company” over the course of the Winter 15 Batch."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We applied to YC very late, just a few days before the start of W15 batch. We were in the middle of raising a seed round and through our suboptimal interactions with investors, we realized that we needed YC guidance to help us raise a round on good terms. Our YC experience was amazing, if a bit overwhelming at times. YC partners forced us to think clearly about the next steps. At one point they had us go door to door to every business in Mountain View downtown to try and sell our product. We made our first sale that day and we’ll never forget that experience! Fundraising post YC was every bit what we imagined it to be. It made the entire process super smooth and easy."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "When we started the company in 2014, our initial goal was to improve the checkout experience in corporate dining facilities, cafeterias, and sports stadiums. We aimed to use computer vision and machine learning technology to create a much more efficient and convenient experience for customers. Entering YC and getting to demo day with a major letter of intent was a big moment for the company, giving us the experience and fundraising to make Mashgin market-ready over the following few years.However, with the outbreak of COVID-19 in 2020 and the subsequent lockdowns, we had to pivot our focus to the convenience store space as corporate offices closed and retail demand for self-checkout solutions skyrocketed.During the pandemic we were able to secure an enormous deal with Circle K, one of the largest convenience store chains in the world, for 10,000 kiosks across their global portfolio of stores. This elevated us from a burgeoning player in AI to the most market-tested solution in the world.In May 2022, we were able to announce a Series B funding round of $62.5 million with a valuation of $1.5 billion, earning us the title of “unicorn” company. The round was led by NEA, a global venture capital firm that’s invested in other successful startups like Cloudflare, Patreon Plaid, and Robinhood, with additional support from our existing investor, Matrix Partners.Today Mashgin continues to expand within the convenience, sports, and corporate dining industries while beginning to explore adjacent opportunities in spaces like ski resorts, quick service restaurants, and drug stores."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Online retail has gone through several iterations in the past few decades and the experience today is extremely frictionless. Physical retail on the other hand has not seen the same level of innovation and the experience hasn’t changed much since the early 90s. We want to use the latest advances in AI and Computer Vision to make physical retail as easy and frictionless as online retail.More specifically, Mashgin solves the problem of long wait times and checkout bottlenecks. Customers often experience frustration and dissatisfaction when they have to wait in long lines to check out, and retailers also face the challenge of managing and staffing checkouts. This is a big problem because lines are a waste of time for everyone involved. Over the course of a lifetime, the average person will spend years waiting in lines. And those lines aren’t just wasted time for consumers, they result in lost sales for retailers. Studies by Forrester and BlueDot have shown that retailers lose as much as 57% of their sales when customers perceive the line as long (which in a convenience store is 3 people).Besides being frustrated by our own lunch lines, we decided to work on this problem because we saw an opportunity to use computer vision and machine learning to create a more efficient and convenient shopping experience for customers across industries."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "At Mashgin, our long-term vision is to create a world where the shopping experience is completely seamless and frictionless. If we succeed, waiting in line to purchase goods will be a thing of the past. Consumers will have more time to do the things that they love with a faster, more convenient, and less stressful experience in retail and dining spaces.  For retailers and concessionaires the technology will free up time and resources, allowing them to focus staff on other key areas of the business like stocking, cooking, cleaning, and customer service."
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        "url": "https://www.ycombinator.com/companies/mashgin/jobs/o1C6SdM-senior-technical-product-manager",
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    "long_description": "Triplebyte is LinkedIn for software engineers. We help great engineers find work at the fastest growing companies in the world, with the least amount of time and effort. We work with a wide range of companies, including Apple, Facebook, Stripe and Dropbox and a lot more of mid-sized and smaller companies.",
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    "name": "Teleport",
    "slug": "teleport",
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    "long_description": "Teleport unifies identities — humans, machines, and AI — with strong identity implementation to speed up engineering, improve resiliency against identity-based attacks, and secure AI in production infrastructure.\r\n",
    "one_liner": "The Infrastructure Identity Company",
    "team_size": 255,
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        "answer": "Meesho – short for Meri Shop (My Shop) – was founded by Vidit Aatery and Sanjeev Barnwal in 2015. Vidit and Sanjeev were wing mates at the Indian Institute of Technology (IIT) Delhi hostel, with their rooms located diagonally opposite each other. Upon completion of their engineering, Vidit worked with Indian consumer goods major ITC for a couple of years, followed by a year-long stint at ad-tech startup InMobi. Sanjeev joined Sony in Japan, contributing to the camera technology for DSLRs and mobiles. **\\**\\The duo got back in touch in May 2015 and decided to start up. For them, two things were clear.  One, it was a great time to be a tech entrepreneur in India – doing anything else would mean not living up to their potential. Two, solving a large-scale problem that affects more than 100 million people and something they can relate to. \\\\Soon, Vidit and Sanjeev realized that most small businesses in India were still offline. They only sold within their communities and localities, which limited their earning potential. \\\\On the consumer side, traditional e-commerce companies focused on the metros and relatively affluent consumers, leaving smaller cities and those with lower incomes out of the internet commerce revolution. Vidit and Sanjeev wanted to take the benefits of e-commerce to this cohort of consumers, democratizing internet commerce for everyone. \\\\To that end, Vidit and Sanjeev gauged the immense potential of social networks as a sales channel early on. They created a platform that enabled millions of people, including homemakers, to become entrepreneurs and resell products in their network via WhatsAp. Meesho pioneered social commerce in India and it now has \\~16 million entrepreneurs on the platform, of which over 10 million are women. \\\\What started as an idea to digitize India’s unorganized retail is now a $4.9B e-commerce company, a single thriving ecosystem of sellers, entrepreneurs and consumers. Meesho’s evolution from pure play social commerce to e-commerce is a testament to how the company is transforming the industry and making e-commerce accessible to the masses. With a vision to enable 100 million small businesses to succeed online, Meesho is continuously facilitating MSMEs’ transition from the offline to the online world."
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        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "When Sanjeev and Vidit got together in July 2015, they were looking at building a hyperlocal platform for fashion. During the early days, the founders did everything from taking shop inventories to cataloging them on the app to making the deliveries themselves – listening intently to feedback from users and suppliers all this while. A couple of iterations later, Meesho became a social commerce platform where resellers used WhatsApp, Facebook and Instagram to become a bridge between suppliers and consumers. Millions of resellers, most of them women, were able to supplement their household income by starting virtual stores on social channels without any investment and selling to their community. In the process, they achieved financial independence – besides a sense of accomplishment and identity. While Meesho pioneered the concept of social commerce in India, e-commerce adoption tailwinds from COVID-19 saw many consumers become more comfortable with directly shopping online. This was a huge opportunity for Meesho to tap and the company has been operating a marketplace connecting sellers and consumers (in addition to WhatsApp-led reselling) for over 1.5 years now. Direct sales on the platform now account for 80% of Meesho’s business. **Funding:** In July 2016, Meesho was selected by Y Combinator for a three-month summer program. In October 2017, the company raised $3.1 million in a [Series A round](https://en.wikipedia.org/wiki/Series_A_round) from investors led by Elevation Capital (formerly SAIF Partners), following it up with a Series B round of $11.5 million in June 2018. Five months later, Meesho closed its Series C round of $50 million at a valuation of $200-250 million. Soon, Meta (formerly Facebook) came aboard as an investor in August 2019 and the company raised 125 million, becoming India’s first startup to be backed by the social network. In April 2021, Meesho turned a [unicor](https://www.moneycontrol.com/news/business/meesho-raises-300-million-led-by-softbank-enters-unicorn-club-6729831.html)n with SoftBank leading a $300 million funding round that valued the company at $2.1 billion. Later in the year, Meesho raised [$570 million](https://www.moneycontrol.com/news/business/meesho-raises-570-million-from-fidelity-b-capital-others-at-4-9-billion-valuation-7524951.html) in its Series F round, doubling its valuation to $4.9 billion. The company has so far raised $1.06 billion from marquee investors including Prosus Ventures, Elevation Capital, Sequoia Capital, Good Capital and Symphony International. **Growth and scale:** 2021 and 2022 were breakout years for Meesho with the business growing exponentially and witnessing strong momentum on several fronts. Meesho became the world’s most downloaded e-commerce app globally in October 2021, as per [data.ai](http://data.ai). It repeated the feat in the first half of 2022, logging record downloads, according to Apptopia. During the calendar year 2022, the Meesho app recorded the highest Monthly Active Users worldwide, as per [data.ai](http://data.ai). In 2022, the company saw 910 million orders, with nearly 80% of them coming from small towns,  showcasing how the company’s value proposition of affordability continues to be a significant differentiator. Affordable, relatable merchandise mirroring local markets has helped Meesho make inroads into homes of first-time internet users across the country. The company’s 85 million+ active product listings and strong value prop of everyday low prices has resulted in 140 million annual transacting users. On the seller side, the company’s relentless focus on digitizing small businesses is bearing fruit. Driven by industry-first initiatives such as zero commission and by ensuring there’s no private label play or tiering of sellers, Meesho’s supplier base has grown to over 825,000. Three in five of them are new-to-e-commerce and selling on Meesho for the first time. One of the reasons Meesho is able to deliver on its promise of everyday low prices is because of its asset-light structure, wherein it works with third-party logistics players for order fulfillment. Meesho is the single-largest contributor to India’s fast-growing third-party logistics industry, accounting for \\~35% of all shipments delivered by national players. **Inflection points:** The landmark entry of telecom operator Reliance Jio revolutionized India’s internet landscape. The availability of fast data, almost free of cost, catalyzed internet penetration, taking it to the deepest and remotest corners of the country. As other telecom companies followed suit, almost all of India became the Target Addressable Market in one fell swoop – opening the doors of opportunity for e-commerce companies. Additionally, the Covid-19 pandemic paved the way for a huge transformation in India’s retail landscape. Widespread adoption of e-commerce by millions of consumers across the country marked a record shift from offline to online. At the same time, millions of sellers discovered the potential of e-commerce platforms and embarked on their online journey."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Meesho — India’s only true online marketplace — is altering the status quo with an asset-light business model to make e-commerce inclusive and accessible for the next billion users in India.Over the last 15 years, e-commerce in India evolved with a focus on convenience-seeking customers in metros and Tier 1 cities with enough purchasing power. Much less attention was paid to residents of smaller towns and those from lower income groups with different needs around selection and affordability. Meesho is constantly working towards enabling access for this cohort of customers, reimagining the internet commerce journey for them. Over the last seven years, the company has built a simple and easy-to-use e-commerce platform that’s helped millions of new-to-ecommerce users come online. The company currently has close to \\~140 million annual transacting customers. Additionally, Meesho’s vision is to enable the smallest of sellers in India to digitize their business and reap the benefits of online commerce: a much bigger market, higher incomes, a digital footprint, et al. Driven by this vision, Meesho has routinely identified and solved the challenges that potentially deter sellers from embracing e-commerce. The company launched disruptive, industry-first initiatives like zero seller commission that leave more money in the hands of suppliers and allow them to expand their business. As India’s only true e-commerce marketplace, Meesho does not differentiate between sellers on the basis of tiers, nor does it have private labels or an inventory-led play. Meesho was built on the core principle of democratization of internet commerce for the smallest of sellers across the country."
      },
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Creating a level playing field for small businesses to succeed online while catering to underserved, price-sensitive users — Meesho is on a mission to democratize internet commerce for everyone. India’s unorganized retail is estimated to account for 85% of the overall retail sector, indicating a huge opportunity for small businesses and consumers to come online. All that is required is the right platform and opportunity, a little bit of resources and some hand holding. Additionally, of the \\~700M active internet users in India, only 216M transact online. There is a large chunk of people in tier 2+ cities who do not transact online. Meesho’s vision is to bring underserved users into the e-commerce fold by leveraging technology, its wide reach and strong understanding of how India shops. If Meesho truly succeeds, small businesses will be empowered to sell their wares across the country, earn more and generate employment at scale, taking India closer to its goal of a $5 trillion economy. On the other hand, consumers will be able to access affordable, relatable merchandise from all corners of the country, fulfilling their aspirations."
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        "title": "🛫 Loop — flight simulator (for customer support 🧑‍💻)",
        "tagline": "Identify great job applicants by measuring how they perform in real-life scenarios.",
        "body": "Hey YC!\n\ntl;dr Using a work sample, we **automatically measure** whether someone’s likely to succeed in an entry-level support role.\n\n### Why?\n\nIn our last company, Paul & I manually read \\~25,000 job applications, specifically for entry-level ops and sales roles. (For example: customer support, real estate ISAs, “pre-sales” support, data, entry, taxi dispatchers, receptionists)\n\nWe learned a lot, but eventually Paul said he felt “default dead inside” after reading 300 resumes in a row. So we decided to build tools to scale ourselves up.\n\n### The problem\n\n1. Reading resumes is _time-consuming_. Also, for entry-level jobs, resumes don’t tell you very much.\n2. Wasting time interviewing candidates who clearly can’t do the job (i.e. the ops equivalent of fizz buzz)\n3. Hiring candidates who **interview well**, but don’t do the **actual work** very well\n\n### Our solution\n\nWe built a 30-minute **interactive work sample** that you can give to all of your job applicants.\n\nIf you’re like our early users, “ops hiring” is currently being run by a very high-leverage leader. That’s awesome — because you’ll have a high bar — but it’s also extremely expensive.\n\n**With Loop, you can raise that bar even higher, while saving 20+ hours of work** (reading resumes, reading applications, conducting interviews) **per hire.**\n\n![uploaded image](/media/?type=post&id=64776&key=user_uploads/122083/ea0fe803-d00c-447f-9cf6-66b58c6a491c)\n\nWe recommend benchmarking Loop with your top employees. Then, you can use our platform to identify job applicants with similar skills 🙂\n\n![uploaded image](/media/?type=post&id=64776&key=user_uploads/122083/4a8ab797-5de5-4d1b-8b2d-915eb18750b0)\n\nIn building this for our own company, we learned a couple unexpected things:\n\n1. **Great candidates don’t necessarily have relevant experience.** Top performers come from an incredibly wide range of backgrounds. Our very best agent used to edit a niche industry newsletter.\n2. We increased our interview-to-hire rate from 18% to 48%. As a direct result, we became happier people, less cynical and Malthusian. It’s a joke, but it’s also real.\n\n### OK, I’m interested in being a happier person\n\nGreat! [Sign up here](https://www.loopsupport.com) and use the code LAUNCHYC for a 49% discount off your first month.\n\nCurious how you’d do on the assessment yourself? [Give it a spin here](https://challenge.loopsupport.com/try), and we’ll let you know how you compare to the average applicant :)",
        "url": "https://www.ycombinator.com/launches/Gqm-loop-flight-simulator-for-customer-support",
        "votes": 27,
        "created_at": "2022-07-20T21:53:34.223Z"
      }
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    "id": 1451,
    "name": "Rippling",
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    "website": "http://rippling.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.\r\n\r\nTake onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds. \r\n\r\nBased in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks and Bedrock. \r\n",
    "one_liner": "One place to run all your HR, IT, and Finance. Globally.",
    "team_size": 2500,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1478140233,
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    "batch": "Winter 2017",
    "status": "Active",
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      "Partly Remote"
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/rippling",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2017/rippling.json",
    "year_founded": 2016,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rippling/",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
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        "full_name": "Parker Conrad",
        "title": "Founder/CEO",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/parkerconrad",
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      },
      {
        "user_id": 1403,
        "full_name": "Prasanna S",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Vorflux. Previously co-founder and CTO at Rippling (W17), scaling it from founding through $13B+ valuation. First engineer on Zenefits Payroll as Director of Engineering. Earlier founded LikeALittle (YC W11). Software developer at Microsoft, intern at Google. B.Tech CS from NIT Trichy.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/myprasanna",
        "x_url": "https://www.twitter.com/myprasanna",
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        "id": 71240,
        "title": "Account Executive, Mid Market - EAST",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/VRiSVvs-account-executive-mid-market-east",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$215K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 71241,
        "title": "Account Executive, Mid Market - WEST",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/TIEoAOi-account-executive-mid-market-west",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$215K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 71242,
        "title": "Account Executive, Mid Market - Central",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/dZJD77T-account-executive-mid-market-central",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$215K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 72426,
        "title": "Senior Engineering Manager - HRIS Company Team",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/RX6uLCL-senior-engineering-manager-hris-company-team",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Engineering manager",
        "salary_range": "$186K - $326K",
        "equity_range": "",
        "experience": "11+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 72544,
        "title": "Director of Product Management, Platform",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/qirH7DW-director-of-product-management-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$180K - $315K",
        "equity_range": "",
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        "skills": []
      },
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        "id": 72652,
        "title": "Product Design Lead, IT Products",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/7A5Rnn5-product-design-lead-it-products",
        "location": "San Francisco, CA, US / New York, NY, US / Seattle, WA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$159K - $278K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
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        "id": 72653,
        "title": "Product Design Lead, Global Payroll",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/USJIYst-product-design-lead-global-payroll",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$138K - $242K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
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        "id": 72657,
        "title": "Product Lead, Time Products",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/p58OaK4-product-lead-time-products",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$141K - $247K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
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        "id": 72660,
        "title": "Product Lead, Platform, Reporting & Analytics",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/8ASPI6G-product-lead-platform-reporting-analytics",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$159K - $278K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 73595,
        "title": "Customer Support Supervisor",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/OoQFS8V-customer-support-supervisor",
        "location": "Remote",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 77205,
        "title": "Product Lead, Contractor Invoicing & Compliance",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/O8Gn5kw-product-lead-contractor-invoicing-compliance",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
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        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
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        "id": 79776,
        "title": "Product Lead, Finance Products",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/OgPUJ6m-product-lead-finance-products",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$144K - $252K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 84231,
        "title": "Support Supervisor",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/J942Ych-support-supervisor",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$1",
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      },
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        "id": 86025,
        "title": "Growth Marketing Lead, Self Serve (PLG)",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/8WnspaU-growth-marketing-lead-self-serve-plg",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$147K - $257K",
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      },
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        "id": 86030,
        "title": "Director, Global Paid Social & Programmatic Marketing",
        "url": "https://www.ycombinator.com/companies/rippling/jobs/FaCQijf-director-global-paid-social-programmatic-marketing",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
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    "news": [
      {
        "title": "Rippling raises $450M at a $16.8B valuation, reveals YC is a customer | TechCrunch",
        "url": "https://techcrunch.com/2025/05/09/rippling-raises-450m-at-a-16-8b-valuation-reveals-yc-is-a-customer/",
        "date": "May 09, 2025"
      },
      {
        "title": "Rippling’s Parker Conrad on the company’s new round, new SF lease, and more",
        "url": "https://techcrunch.com/2024/04/22/ripplings-parker-conrad-on-the-companys-brand-new-round-its-brand-new-sf-lease-and-also-its-brand-new-critic/",
        "date": "Apr 22, 2024"
      },
      {
        "title": "Rippling Announces Series F Fundraising and Tender Offer",
        "url": "https://www.rippling.com/blog/rippling-announces-series-f-fundraising-and-tender-offer",
        "date": "Apr 22, 2024"
      },
      {
        "title": "Rippling opens Asia-Pacific HQ as its international expansion gears up | TechCrunch",
        "url": "https://techcrunch.com/2024/02/12/rippling-2/",
        "date": "Feb 12, 2024"
      },
      {
        "title": "Rippling: 2023 CNBC Disruptor 50",
        "url": "https://www.cnbc.com/2023/05/09/rippling-disruptor-50.html",
        "date": "May 09, 2023"
      }
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    "name": "Shipamax",
    "slug": "shipamax",
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    "website": "https://shipamax.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Shipamax's core technology can 'understand' any logistics document - outputting a business-ready, machine-readable format. \r\n\r\nWhy does this matter? When customers order online - it feels smooth & simple. But in the background it's chaos. When goods are physically moved around the world, there can be up to 20 companies involved in the transaction. Currently, this is a complex, messy process, with different systems and teams creating a mountain of manual work to get the job done.\r\n\r\nCustomers value our technology as we to help make these behind-the-sceens processes simple.\r\n\r\nWe're making one of the largest segments of the global economy – logistics – more scalable and adaptable to today's on-demand world.",
    "one_liner": "Simple, end-to-end automation for logistics orgs",
    "team_size": 32,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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    "year_founded": 2016,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/shipamax/",
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        "title": "WiseTech Global buys data entry automation business Shipamax",
        "url": "https://www.stattimes.com/logistics/wisetech-global-buys-data-entry-automation-business-shipamax-1346913",
        "date": "Nov 02, 2022"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Scaphold is the world's most powerful GraphQL as a service platform. The platform will provide a number of services including push notifications, analytics, file storage, custom code, multiple environments, and more to allow developers to build mobile, web, and IOT applications. Our innovative use of GraphQL is the big game changer here. We’re convinced that it’s the future of APIs and we want to make it readily accessible to everyone else.",
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    "id": 1473,
    "name": "Upcall",
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    "all_locations": "Miami, FL, USA; San Francisco, CA, USA; Remote",
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    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1478194835,
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        "answer": "For executives and content teams at growing companies, It’s impossible to keep up with content demands. The number of channels, campaigns and topics companies need to cover proliferate every year.  It’s no longer enough to have a blog. You must have a blog, podcast, growing newsletter and social audiences across a half dozen different sites and communities.  Every content creator knows the pain of staring at a blank page on a deadline, and this pressure leads our teams to chase word-count and produce lower quality content.  Jasper helps businesses leverage generative AI to accelerate the writing process so they can give their teams more breathing room for their ideas.  "
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        "answer": "Jasper is working to become the AI platform that helps the world’s businesses unlock their best ideas.  We want growing companies to be able to tap AI that matches their brand voice, creates the best possible outcomes for their use cases, and  can be called upon in all the places their teams create.  Along the way we’re working to help businesses transform the way they operate, learn to leverage AI responsibly, and grow. "
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        "title": "Fondo TaxPlan - Get your startup taxes done right",
        "tagline": "The simplest way to know where, when, and how much corporate tax you owe",
        "body": "Hi everyone 👋\n\nDavid here, former accountant & current CEO of [@Fondo](https://tryfondo.com/taxplan) (W18). After helping over 1,000 startups with their corporate taxes we are excited to bring you [**TaxPlan**](https://tryfondo.com/taxplan).\n\n![](https://assets-global.website-files.com/61d7d4dc76fa4b4793492a4f/6565864e5e7b3f872f4a87ee_7shots_so.png)\n\nThis is the most common question we get from founders:\n\n**\"Do I Need to File Taxes for My Startup?\"**\n\nYes. Once your startup is incorporated and funded, filing taxes is crucial. Not only does this meet legal obligations and fulfill your fiduciary duty to investors, but it's also essential for leveraging benefits like R&D tax credits. Failing to file on time can mean missing out on up to $500k in tax credits. Corporate tax is **NOT** handled by your payroll system (they handle payroll tax).\n\n[**TaxPlan**](https://tryfondo.com/taxplan) is the simplest way to know **where, when, and how much** your startup owes in corporate taxes -- including your [**Section 174**](https://www.tryfondo.com/blog/section-174) adjustment. Plus, how much in [**R&D Tax Credits**](https://www.tryfondo.com/guides/a-startups-guide-to-tax-credits) you can get back from the IRS (up to $500k).\n\n**It takes <2 minutes to get your FREE TaxPlan — no accounting set up required:**[ **Get your startup’s FREE TaxPlan →**](https://tryfondo.com/taxplan)\n\n### **Here is what you get with TaxPlan:**\n\n### **Corporate Tax Summary**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/2e9976a1-e14c-4fd6-8512-49025b0f08b7)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/ca8a8fd9-fc42-4cd6-b824-49c4406f098e)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/a8a4240c-a5a7-4701-bc4a-ab0c045e6696)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/24415557-8b5d-4756-ae3e-6f41776a6e39)\n\n### **Corporate Tax Nexus Summary**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/c57f57ba-2c01-4ac1-b697-46eecacd62ff)\n\n### **International Activity Summary**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/fc233df6-b4ee-41f7-9201-a96495b8ccf4)\n\n### **Year End Checklist**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/861d6005-a477-44e3-be7f-38ad213e8f4e)\n\n### **How Fondo Can Help**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/2520bf86-b585-4e71-88d8-4a8fa825a79a)\n\n**It takes <2 mins to get your FREE TaxPlan — no accounting set up required:** [**Get your startup’s FREE TaxPlan →**](https://tryfondo.com/taxplan)\n\n### **3 easy steps**\n\n1. [Create account](https://tryfondo.com/taxplan)\n2. Select “Yes” to TaxPlan (FREE)\n3. Receive TaxPlan via email\n\nThank you and I hope you’ll try us out!\n\nDavid\n\nCEO & Founder @ Fondo (W18)",
        "url": "https://www.ycombinator.com/launches/K2R-fondo-taxplan-get-your-startup-taxes-done-right",
        "votes": 27,
        "created_at": "2023-12-19T20:21:23.352Z"
      },
      {
        "id": 69495,
        "title": "✅ Fondo - $1 Delaware Franchise Tax (due in 9 days)",
        "tagline": "Let Fondo file your Delaware Franchise Tax for $1",
        "body": "Hi everyone 👋,\n\nDavid here, former accountant and founder/CEO of Fondo. We’ve helped 1,000+ founders file their Delaware Franchise tax since launching in 2020.\n\nWe’d love to handle this for you for **$1**. \n\n# **Problem**\n\nAll Delaware Corporations are legally required to file Delaware Franchise Tax each year (beginning with their year of incorporation)\n\n• Deadline: 3/1/23 (in 9 days)\n\n• Tax Owed: $450+\n\n• Penalties: $200 +1.5%/mo of unpaid balance\n\nWhat often what trips founders up is that Delaware will notify you that you owe $50k+. This is because there are two methods to calculate the total franchise tax owed: the **Authorized Shares Method** and **Assumed Par Value Capital Method**. Delaware gives startups the flexibility to use the method that results in the lessor tax. This gets more complicated once you’ve raised a priced round. Fondo will make sure to file based on the lowest tax method legally possible, generally **Assumed Par Value Capital Method.**\n\n![](https://ph-files.imgix.net/00d7138c-e164-4837-b17a-e57cb37420ef.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&fit=max)\n\n# **Solution**\n\nLet Fondo prepare and file your Delaware Annual Franchise Tax Report for **$1:** [**tryfondo.com/1**](http://tryfondo.com/1)\n\n![](https://ph-files.imgix.net/a3edb57f-b13b-4190-a5bb-566fb85fa437.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&fit=max)\n\n# **🤝 Launch YC Deal**\n\n### Let Fondo prepare and file your Delaware Annual Franchise Tax Report for $1: [tryfondo.com/1](http://tryfondo.com/1)\n\n![](https://ph-files.imgix.net/2af8a957-a517-4816-a101-2ebdc3e11358.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&fit=max)\n\n# **FAQ**\n\nHere is a comprehensive guide that answers all of the most common questions founders have about Delaware Franchise Tax: <https://www.tryfondo.com/guides/founders-guide-delaware-franchise-tax>\n\n**Please note:** there is no additional purchase necessary, we will prepare & file for you for **$1**. You will still owe Delaware $450+, Fondo handles making that payment for you with your payment details.\n\nThank you!\n\nDavid",
        "url": "https://www.ycombinator.com/launches/I4t-fondo-1-delaware-franchise-tax-due-in-9-days",
        "votes": 31,
        "created_at": "2023-02-21T19:28:27.091Z"
      },
      {
        "id": 65591,
        "title": "Fondo - 💰 Automatically get cash back from the IRS (average startup gets $21,000)",
        "tagline": "Automatically get cash back from the IRS (average startup gets $21,000)",
        "body": "👋 Hi everyone,\n\nDavid here, former accountant & CEO/Founder of [Fondo](https://tryfondo.com/credits) (W18). Last week, President Biden signed the Inflation Reduction Act into law -- which includes doubling the **R&D Credit available per startup to up to $500k per year**. This is great news for startups and we’d love to help you get the maximum money back from the IRS.\n\n### 💰 **Automatically get cash back from the IRS (average startup gets $21,000)**\n\nToday, we are publicly launching [Fondo Tax Credits](https://tryfondo.com/credits) to help startups get cash back from the IRS.\n\n![uploaded image](/media/?type=post&id=65591&key=user_uploads/51966/d7c2588f-c394-4e86-8baf-ae15c253c2ae)\n\nThank you to [@Career Karma](https://www.ycombinator.com/companies/career-karma), [@Explo,](https://www.ycombinator.com/companies/explo) [@PostHog](https://www.ycombinator.com/companies/posthog), [@Tydo](https://www.ycombinator.com/companies/polyops), & [@Bottomless](https://www.ycombinator.com/companies/bottomless) being our first 5 Tax Credit customers.\n\n### **Does my startup qualify?**\n\nMost likely, yes! Startups with less than $5M in gross receipts will generally qualify. Because of the broad definition for qualified activities, startups from almost every industry have claimed R&D tax credits. If you have employees or contractors in the United States who spend any time developing new or improved products, processes, software, algorithms, formulas, or inventions, then you likely qualify for the R&D tax credit. [See if your startup qualifies →](https://tryfondo.com/credits-check)\n\n### **How much does my startup qualify for?**\n\nThe amount of money you can get back is based on your company's R&D expenses (founder/employee/contractor payroll) and can be up to $500k per year. [See how much you can get back with our Tax Credit Calculator →](https://tryfondo.com/credits-check)\n\n![uploaded image](/media/?type=post&id=65591&key=user_uploads/51966/73b455e4-aa8b-4ad6-8b75-ce55a8873d1f)\n\n### **How do I claim the credit?**\n\nFondo handles all of this for you — the credit is claimed by doing an R&D Credit study, filing additional forms with your corporate tax returns, and updating your payroll system. [Get started here →](https://tryfondo.com/credits)\n\n### **⚠️ Upcoming Deadline**\n\nThe deadline to claim this credit for 2021 is 10/17/22 (if you filed an extension), otherwise you can claim the credit for 2022.\n\n### 🤝 **DEAL: 25% OFF Tax Credits**\n\n_Sign up by 8/25/22 to use this deal._ You only pay Fondo if we can help you get money back. Typically, our fees will not exceed 20% of the amount we can help you get back. This deal will cap the amount you pay Fondo at 15%.\n\n[👉 Sign up here →](https://tryfondo.com/credits)\n\n### **What do you get?**\n\nThe benefits of claiming your tax credits with Fondo is that we can handle everything you need to get it done -- end-to-end. Most of our competitors will only do the R&D study and you still need to find someone else to (1) file your tax returns with the attached R&D credit forms, (2) update your payroll system, and (3) do your bookkeeping.\n\n* ✅ Cash back from the IRS (Fondo will complete the R&D Credit Study, prepare Tax Forms, and make required updates to your payroll system)\n* ☑️ Optional Add-on: [TaxPass](https://tryfondo.com/taxpass) - Delaware + Federal/State Corporate Income Taxes Filed (timely filings that you need to claim the credit)\n* ☑️ Optional Add-on: [Bookkeeping](https://tryfondo.com/bookkeeping) (get financial statements that you need to file your tax returns)\n\n### **We’d love to support you!**\n\nThank you!\n\nDavid",
        "url": "https://www.ycombinator.com/launches/H3v-fondo-automatically-get-cash-back-from-the-irs-average-startup-gets-21-000",
        "votes": 69,
        "created_at": "2022-08-24T01:37:51.984Z"
      }
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    "name": "Worklytics",
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    "website": "https://www.worklytics.co",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Worklytics identifies leading drivers of employee engagement, without the need for repetitive surveys. It does this by passively analyzing anonymous collaboration data, in tools like Google Workspace and Slack, and detecting patterns that lead to greater employee satisfaction. Worklytics uses these insights to promote positive organizational change by proactively nudging leaders and managers.",
    "one_liner": "Analytics to improve how teams work and collaborate",
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    "industry": "B2B",
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    "name": "Glowing.io",
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    "website": "http://www.glowing.io",
    "all_locations": "Las Vegas, NV, USA",
    "long_description": "Glowing enables leading global brands and their customers  to text message with each other via existing popular mobile messaging platforms. Our solution allows for brands to appeal to millennials (and other digital travelers) as well as to the “silent guests” who prefer messaging as their primary communication channel.",
    "one_liner": "Unified, enterprise messaging platform for leading brands of the world",
    "team_size": 11,
    "industry": "B2B",
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    "launched_at": 1509562896,
    "tags": [
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    "url": "https://www.ycombinator.com/companies/glowing-io",
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    "year_founded": 2005,
    "city": "Las Vegas",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/13206234/",
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    "id": 1748,
    "name": "Slite",
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    "website": "https://slite.com/",
    "all_locations": "Berlin, Berlin, Germany; Remote",
    "long_description": "Slite pairs a verified knowledge base with an AI agent connected to all team's tools, detecting when docs gets outdated and keeping them in sync with reality.\r\n\r\nIt gives teams a company brain that stays in sync with reality, for humans to trust and AI agents to act on.",
    "one_liner": "The self-maintaining knowledge base",
    "team_size": 40,
    "industry": "B2B",
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    "launched_at": 1509562905,
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    "url": "https://www.ycombinator.com/companies/slite",
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    "year_founded": 2017,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/slitehq/",
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    "fb_url": "https://www.facebook.com/slitehq",
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        "founder_bio": "French engineer & product guy, creator of slite.com, and, way more importantly, of wikiwa.rs",
        "is_active": true,
        "linkedin_url": "http://fr.linkedin.com/pub/christophe-pasquier/56/759/938",
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    "id": 1750,
    "name": "Key Values",
    "slug": "key-values",
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    "website": "https://clearbrain.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "ClearBrain (YC W18) is a startup building the first self-serve AI platform for growth marketing.\r\n\r\nWe help companies automatically predict and retarget users when they are most likely to purchase. Fortune 1000 companies use ClearBrain’s automated machine learning platform to personalize experiences for hundreds of millions of user predictions - as effectively as Uber or Google.\r\n\r\nWe’re led by the founding engineers of Google Ads and Optimizely’s data infrastructure teams, and backed by investors in Dropbox, Optimizely, and AdMob. We’re a deeply technical team who value humility and customer empathy above all. As a group we’re also pretty good at bowling, D&D, and Rubik’s cubes.\r\n\r\nWe are building an advanced analytics platform with the challenge of making it accessible to a smart, capable clientele of growth experts that demands ease of use, utility, high availability and good responsiveness. You’ll join a startup environment where you'll be exposed to a variety of backend, frontend, machine learning frameworks in a fast-moving company!",
    "one_liner": "Causal Analytics for Growth Teams",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1509591800,
    "tags": [
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    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2018",
    "status": "Acquired",
    "industries": [
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      "Marketing"
    ],
    "regions": [
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      "America / Canada"
    ],
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    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/clearbrain",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2018/clearbrain.json",
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        "title": "Hivemind: Continual Learning for Coding Agents",
        "tagline": "Capture every coding agent interaction across your team, train it into reusable skills, and propagate those skills to every agent in your org. On your cloud storage.",
        "body": "Hey 👋 Davit here, founder of Activeloop.\n\nToday we are introducing something we believe will reshape how engineering teams work with coding agents.\n\n**Hivemind is a continual learning layer for coding agents. It works across Claude Code, Codex, Cursor, OpenClaw, Hermes, and pi, and it stores all your data on your cloud.**\n\n<https://youtu.be/rja1DfjUdww>\n\n### The Problem: Coding Agents Don't Learn\n\nEvery engineering team building with AI agents already knows the issues.\n\n* Your senior engineer's agent debugs a tricky bug Monday. Your junior engineer hits the same bug Tuesday and starts from zero.\n* Every session begins with re-explaining your codebase and your conventions.\n* Architectural decisions made in code review evaporate the moment the session ends.\n* Your team is solving the same problems over and over, paying for the same compute every time.\n\nCoding agents do not communicate with each other out of the box. Hivemind closes the gap. An agent figures something out, every agent inherits it. Your worst run starts from your best.\n\nThe tools tackling this treat it as a memory problem. They give each agent a personal notepad. Siloed. Invisible to the rest of the team. And most of them do it by shipping your code and context to their servers.\n\nBut memory without learning doesn't make agents better.\n\n**We decided to go beyond memory.**\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/51dc4451-7936-4e37-a0ad-e8139a646430)\n\n### Introducing Hivemind: Continual Learning for Coding Agents\n\nHivemind runs on a simple chain: **capture, codify, optimize, propagate.**\n\n**1. Trace capture.** Every agent interaction (prompts, tool calls, file reads, reasoning chains, outputs) is captured automatically as a structured trace.\n\n**2. Skill codification.** Repeated patterns across traces get codified into reusable skills. Mix of automatic detection and LLM-assisted extraction, with workspace-level scoping so skills don't leak between teams.\n\n**3. Skill optimization.** This is new today. Skills get trained and optimized. We've implemented SkillOpt (a text-space optimizer out of Microsoft, Shanghai Jiao Tong, and Fudan) directly into Hivemind. It improves each skill the way you'd tune a model, keeping only the edits that prove out on a held-out test.\n\nThat approach lifts agent accuracy by +19.1 points inside Claude Code and +24.8 inside Codex, and wins or ties on all 52 setups tested. It runs offline, so it adds zero cost at inference. Your skills get sharper over time instead of bloating.\n\n**4. Skill propagation.** Optimized skills flow into every agent's context at inference time, across every Hivemind-connected agent in your workspace.\n\nWorks across:\n\n* Claude Code\n* Codex\n* Cursor\n* OpenClaw\n* Hermes\n* pi\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/e1bddec6-5c2c-4409-aa2a-dd28fd8b2405)\n\n### On Your Cloud\n\nThis is the part our customers care about most. Your traces, your skills, your cloud storage. The other tools in this space treat your codebase as their training data. We don't. Hivemind store data on your cloud storage bucket, which is the only way a continual learning layer should ever touch your source.\n\n### **Codebase knowledge graph:**\n\n* Hivemind builds a graph of your codebase\n* Agents reason over how files, functions, patterns, and prior fixes connect\n* Structure beats keyword search: agents retrieve relevant context instead of grepping blindly\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/414a60d3-f2b1-4da0-8bec-236e44f16042)\n\n### Example\n\n> Your senior engineer's agent figures out a tricky migration pattern in your payment service on Monday.\n>\n> Tuesday, your junior engineer's agent hits the same migration shape in a related service. The skill has already crystallized, and SkillOpt has already sharpened it against the cases where the first version fell down. The agent executes it in one shot.\n\nRepeat work stops being repeat work.\n\n### The Results: 25% Lower Cost, 41% Fewer Tokens\n\nWe benchmarked Hivemind against memory tools using LoCoMo, the standard evaluation for long-horizon agent memory.\n\nHivemind matches Mem0 on accuracy.\n\n* **25% lower cost per 100 QA**\n* **41% fewer output tokens**\n* **31% fewer agent turns**\n\nSingle-agent benchmarks understate the real story. The compounding effect of org-wide skill propagation isn't captured in these numbers. In production, the gap widens every week as your trace library grows.\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/3df657fa-e32b-4329-a667-d055d39d93be)\n\nFull methodology: [deeplake.ai/hivemind](http://deeplake.ai/hivemind)\n\n### Why This Matters\n\nMost developer tools deliver linear value. Hivemind compounds.\n\n* **Week 1:** your agents stop repeating mistakes.\n* **Month 1:** they're learning from each other.\n* **Quarter 1:** your whole engineering org is operating with capability that survives team changes, onboarding cycles, and turnover.\n\nYour team's hard-won knowledge accumulates.\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/6dfbd341-418b-4bd6-bd63-0d191625378c)\n\n### What's Next: From Skills to Custom Models\n\nBecause we store trajectories in Deeplake's tensor format, traces are ready as PyTorch datasets. A handful of advanced customers are already fine-tuning their own open-source models on the trajectories their Claude and Codex agents generated last week.\n\nSame data layer. Two paths to continual learning.\n\nFull tutorial and public examples shipping in the coming weeks.\n\n### Get Started\n\nTry Hivemind: [deeplake.ai/hivemind](http://deeplake.ai/hivemind)\n\nGitHub: [github.com/activeloopai/hivemind](http://github.com/activeloopai/hivemind)\n\nSkillOpt paper: [arxiv.org/pdf/2605.23904](http://arxiv.org/pdf/2605.23904)\n\nThree commands and your team's agents share one brain by end of day.",
        "url": "https://www.ycombinator.com/launches/Qio-hivemind-continual-learning-for-coding-agents",
        "votes": 9,
        "created_at": "2026-06-08T23:07:52.598Z"
      },
      {
        "id": 95919,
        "title": "Activeloop Scientific Discover: The AI Analyst for Scientific Research",
        "tagline": "Search, reason, and discover across 450M+ pages and 175TB of scientific research papers. Not just text, but charts, molecules, formulas, and tables.",
        "body": "Hey 👋 Davit here, founder of Activeloop.\n\nToday we are introducing something we believe will fundamentally reshape how scientific discovery happens.\n\n**Activeloop’s Scientific Discover, an intelligence agent built on one of the largest datasets of indexed scientific research. Here are the details:**\n\nhttps://www.youtube.com/watch?v=x8Lv5-C9ntw\n\n## The Problem: Scientific Data Is Broken\n\nEvery scientist already knows the pain.\n\n* Critical insights are buried across PDFs, images, tables, and supplementary files.\n* Key figures live inside screenshots, not structured databases.\n* Twenty years of research is trapped in incompatible formats and outdated systems.\n* Every new project begins with weeks of manual data wrangling.\n\nThe White House recently launched the Genesis Mission, recognizing that fragmented scientific data is one of the biggest blockers to breakthroughs in drug discovery, materials science, climate modeling, and more.\n\nThe Genesis Mission aims to build an integrated AI platform that harnesses Federal scientific datasets. The goal is to train scientific foundation models and create AI agents that test hypotheses, automate research workflows, and accelerate scientific breakthroughs.\n\nThe country is trying to unify scientific data for AI.\n\n**We decided to show what that future looks like.**\n\n## Introducing L1: The Scientific Data Agent\n\nTo demonstrate what becomes possible when scientific data is indexed natively for AI, we built **Activeloop L1**, a multimodal scientific research agent running on top of:\n\n* 25M open access papers\n* 450M+ plus pages\n* 175TB of fully visual indexed scientific data\n\nUnlike traditional NLP or paper search, **L1 sees science**.\n\nIt understands:\n\n* charts\n* molecules\n* protein structures\n* equations\n* experimental tables\n* clinical graphs\n* and the text that surrounds them\n\nThis allows L1 to answer questions no text only model can touch.\n\n## The Results: A New State of the Art **48% SOTA on Humanity’s Last Exam with Tools**\n\n![uploaded image](/media/?type=post&id=95919&key=user_uploads/78090/453774e7-7cc6-47de-a344-76a9f7ca2460)\n\nL1 (Gemini 3 Pro) outperforms top models including Grok Heavy with tools, and GPT 5 Pro with tools.\n\n### **Multimodal scientific reasoning**\n\nL1 synthesizes biochemical structures with clinical findings to answer end-to end research questions.\n\n### Example Query\n\n> Which compounds show novel synergy with metformin for treating type 2 diabetes?\n\nL1 scans molecular structures, clinical outcomes, and experimental tables at the same time and produces grounded, citation linked answers.\n\n## Why This Matters\n\nMultimodal scientific agents unlock capabilities that were not possible before.\n\nThis extends far beyond drug discovery. It applies to materials science, climate research, algorithmic innovation, and more.\n\nThe applications are enormous.\n\n**Try L1 Today with Our OpenAI Compatible API**\n\n![uploaded image](/media/?type=post&id=95919&key=user_uploads/78090/f45683d6-c74b-4994-88e7-d54bda796ba0)\n\n## Get Started\n\nTry the Science Agent: https://chat.activeloop.ai/science\n\nDocs and API: https://docs.activeloop.ai\n\nBuild with the OpenAI compatible API today.",
        "url": "https://www.ycombinator.com/launches/Ox5-activeloop-scientific-discover-the-ai-analyst-for-scientific-research",
        "votes": 29,
        "created_at": "2025-12-02T15:44:42.819Z"
      },
      {
        "id": 94768,
        "title": "Activeloop - Unlock AI Data Analysis for GTM",
        "tagline": "Less Time in CRM, More Sales. Get instant insights across your entire stack from CRMs/ERPs to sales decks and product analytics. ",
        "body": "Hey 👋! Founder of Activeloop here. I am excited to introduce Activeloop AI Data Analysis for GTM operations. It lets you drill down from an executive dashboard to a single data point with just-in-time intelligence.\n\nWe didn’t built yet another dashboarding tool. It’s a solution to the single biggest bottleneck holding back your commercial strategy. The endless cycle of manual data preparation, integration, and reconciliation.\n\nhttps://www.youtube.com/watch?v=4Ua3Llox2HE\n\n### The Problem: You’re Drowning in Data Chaos\n\nThe story is always the same:\n\n* **Analysts as Data Janitors:** Your most valuable analysts are buried in manual work, stitching together data from multiple CRMs, reconciling Salesforce with SAP, and cleaning up messy, inconsistent fields.\n* **Reporting Backlogs:** A simple request for a new report kicks off a multi-week process. By the time it’s ready, the moment has passed and leadership doesn't trust the numbers anyway.\n* **Sales Reps Suffer:** Reps waste 4-6 hours every week just hunting for information and doing administrative work instead of selling.\n\nYou're tasked with driving strategy, but you're stuck managing data chaos.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/e282c1b1-d361-4f5a-a4ac-3a721b21d96d)\n\n### Our Solution: The AI Analyst that Vibes Intelligence\n\nActiveloop is an AI Data Analyst for your operations team. We automate the painful, time-consuming data work that currently consumes 70%+ of your team's time.\n\nInstead of fighting with brittle integrations, we connect your fragmented sources such as CRMs, ERPs, product analytics, databases, data warehouses, even unstructured contracts and call transcripts, into a unified, queryable resource.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/342debf4-c4fb-4a02-8480-ea5b128e26c9)\n\n### From Weeks to Minutes: Deliver “Just-in-Time” Intelligence\n\nActiveloop eliminates the wait, empowering your team with true self-service analytics.\n\n* **For Leadership:** In a forecast meeting, infinitely drill down into the data with simple questions like, \"Why did this region's deal cycle lengthen last quarter?\" Get immediate answers, without ever having to say, \"We'll get back to you.\"\n* **For Operations:** Free your analysts from being \"report builders\" and empower them to be strategists. They can finally focus on high-impact projects, confident that the underlying data is unified and trusted.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/f5a7e592-3655-494e-a620-f92e99dc74e9)\n\n### We Tackle Your Messy Data Head-On\n\nYou’re probably thinking: \"How can AI possibly navigate our messy data? We have 50 different fields for the same metric.\"\n\nYou're right. That's the biggest blocker for any data initiative. That’s why our platform includes an **AI-assisted data mapping and taxonomy management layer**. It helps you harmonize your complex environment to build a clean data foundation that generates insights everyone trusts.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/22c38e19-0d94-49cb-9485-e5de80ce8e3d)\n\n### Let's Solve Data Chaos Together\n\nIf you’re tired of seeing your team buried in manual data work, we want to talk to you.\n\n**Book a Call:** https://activeloop.ai/sales/\n\n\\\n**Get Started Now:** https://chat.activeloop.ai",
        "url": "https://www.ycombinator.com/launches/OeW-activeloop-unlock-ai-data-analysis-for-gtm",
        "votes": 107,
        "created_at": "2025-10-20T15:41:53.206Z"
      },
      {
        "id": 90294,
        "title": "Activeloop L0: State-of-the-Art RAG Accuracy on Your Data",
        "tagline": "Turn PDFs, images & tables into instant, cited answers. Agentic RAG that just works.",
        "body": "Hey! Davit here form Activeloop. While working on [Deep Lake](https://github.com/activeloopai/deeplake), I have seen many RAG systems collapse when exposed to production-scale corporate data. They often rely on predefined loops, custom logic and rigid agent scaffolds. Activeloop-L0 provides your agent with highly precise and answers grounded on your multimodal data.\n\nhttps://youtu.be/pnU9yd4KWy0\n\n**Why can’t we reliably analyze corporate documents?**\n\n* **Architectural hurdles**: messy data integrations, unexpected infra costs, and reliability/safety constraints.\n* **Commodity RAG** lacks depth for multimodal enterprise data (documents, images, audio).\n* **Infrastructure burden**: parsing, chunking, embeddings, indexing, vector DBs, and agent loops slow teams.\n\n**But wait, is RAG still relevant despite large context models?**\n\nLet’s consider four extensive NASA documents \\[[1](https://www.nasa.gov/wp-content/uploads/2022/03/sls-reference-guide-2022-v2-508-0.pdf), [2](https://www.nasa.gov/wp-content/uploads/2023/02/orion-reference-guide-111022.pdf), [3](https://www.lpi.usra.edu/lunar/artemis/Artemis-I-Reference-Guide_NP-2022-03-3045-HQ.pdf), [4](https://www.ulalaunch.com/docs/default-source/rockets/2023_vulcan_user_guide.pdf)\\], each between 80 to 100 pages, containing visual descriptions, and pose a highly complex question.\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/c7a09db6-f7f7-46a4-a347-5b52154e6fc1)\n\nChatGPT with o3, despite having full PDFs in context, failed after 11 minutes of reasoning. Now, imagine you have thousands of corporate documents that can’t be contained in a context. In contrast, Activeloop-L0 provided the correct answer in 4 minutes and can scale to a million documents.\n\n**What is Activeloop-L0?**\n\n**Activeloop-L0** is a compound AI system that ingests your unstructured data and returns grounded answers. Behind the scenes, [Deep Lake](https://github.com/activeloopai/deeplake) indexes neural representations at scale, then fuses “thinking tokens” with high-precision retrieval for fast multi-hop reasoning.\n\nIt is available on [**chat.activeloop.ai**](http://chat.activeloop.ai) now.\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/64161f83-f7ba-46eb-9445-5688f55506ab)\n\n**How is it different compared to a traditional RAG?**\n\n* **Multimodal:** Built-in support for images, PDFs, audio, and spreadsheets.\n* **Integrated Reasoning & Retrieval:** Eliminates the need for loops.\n* **Deep Indexing:** Cost-effective multi-layer indexing for richer context early on.\n* **Simple:** Focus on innovation, not maintaining infrastructure.\n* **Grounded and Accurate:** Clear citations for trustworthy insights.\n\n**How accurate is Activeloop-L0?**\n\nActiveloop-L0 achieves overall 85.6% state-of-the-art accuracy on 1,142 multimodal questions (292 PDFs, 5.5K pages). It outperforms text only RAG by +20%, visual RAG by +10%, and Alibaba’s ViDoRAG by +6% on their own ViDoSeek benchmark.\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/8275782e-ffde-4351-bdc8-0d1c40918169)\n\n**Is there an OpenAI-compliant API?**\n\nYes, Activeloop-L0 is available with an OpenAI-compliant API. You can easily plug into your agents for providing high relevant context. You can get started here. https://docs.activeloop.ai/setup/quickstart\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/996c0193-4dab-49eb-ab85-6e78828b19ec)\n\n**Ready to Deploy on Your Data?**\n\nActiveloop is trusted by F500 including the likes of [**Bayer**](https://www.activeloop.ai/usecase/bayer/), [**Flagship Pioneering**](https://www.activeloop.ai/usecase/flagshippioneering/), [Matterport](https://www.activeloop.ai/usecase/matterport/) (W12 acquired by CoStar).\n\n* **Your Cloud**: Deploy on your cloud, ensuring data never leaves your infrastructure.\n* **Your Models**: Integrate your LLMs.\n* **Your Security**: SOC2 compliance, fine-grained access control, and SSO.\n\n[**Book a call**](https://www.activeloop.ai/contact/) to discuss enterprise deployment.",
        "url": "https://www.ycombinator.com/launches/NUM-activeloop-l0-state-of-the-art-rag-accuracy-on-your-data",
        "votes": 34,
        "created_at": "2025-05-12T16:26:50.543Z"
      }
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    "id": 1911,
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    "slug": "contrast",
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    "website": "https://mismatch.app/",
    "all_locations": "New York City, NY, USA; New York, NY, USA",
    "long_description": "It's a better way to build frontend. It connects your Stories, Tokens, & Figma components. It lets you inspect designs with confidence and speed. And you can use it in Storybook.",
    "one_liner": "Developer Handoff - Reimagined for Storybook",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1524708159,
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        "full_name": "Jono Kolnik",
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    "one_liner": "We bring physical stores to the digital age with cashierless checkout.",
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        "full_name": "Tony Francis",
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        "user_id": 220306,
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        "is_active": true,
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        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
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        "experience": "3+ years",
        "visa": "Will sponsor",
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        "visa": "US citizen/visa only",
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        "url": "https://www.adweek.com/brand-marketing/b2b-ai-mutiny-cmo-ceo/",
        "date": "Apr 19, 2023"
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        "title": "43 Startups You Can Bet Your Career on in 2023 - Business Insider",
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        "id": 103964,
        "title": "Mutiny: Your AI agent to take your accounts from cold to closed",
        "tagline": "Your AI agent to take your accounts from cold to closed",
        "body": "**TL;DR:** Mutiny is your AI agent for taking accounts from cold to closed.\n\nRippling, Snowflake, and Uber are among 3,000 companies using Mutiny to automate their day to day and create beautiful customer-facing experiences that win more deals.\n\n<https://youtu.be/hRISyK2SSt4>\n\n## The problem: Generic AI like Claude are not built for GTM\n\nGeneral purpose agents are not optimized for GTM.\n\n* **Require GTM engineers.** You build everything yourself. Takes weeks of setup and GTM engineers to deliver quality.\n* **Inconsistent output.** Output such as assets is only as good as the rep's prompting. Near impossible to generate high quality output consistently.\n* **Designed for solo work.** Chat and projects are optimized for individual work. Requires Github repos for sharing skills across the team.\n\n## The solution: one agent to take accounts from cold to closed\n\nIn April, we shipped the industry’s leading AI experience builder, letting founders and reps create on-brand, personalized decks, deal rooms, landing pages, and more. 9 out of 10 reps told us it gave them an edge in competitive deals.\n\n**Today, we're launching the automation and collaboration layer around all of it. One agent that takes an account from cold to closed.**\n\nMutiny can now:\n\n1. **Access all your data and tools to automate workflows.** Mutiny connects to your email, calendar, CRM, call recordings, Slack, and 50+ other tools to extract context it needs and then do the work on your behalf.\n2. **Create buying experiences and track engagement.** Mutiny stores your brand and marketing content, builds assets for every deal, and shows you exactly how buyers engage.\n3. **Works out of the box for any rep, not just the AI experts.** We pre-built the highest-leverage skills and routines for reps and marketers, so everyone gets expert output on day one.\n\n![uploaded image](/media/?type=post&id=103964&key=user_uploads/220306/be9b21e6-7623-4201-9800-49e87ed1fe28)\n\nIn practice, this means Mutiny helps you:\n\n* Create deal rooms and update CRM records after every prospect call\n* Draft meeting prep and personalized decks ready for tomorrow's call\n* Map buying committees, with a personalized market report for each persona in their inbox\n* Surface top ABM accounts, with personalized sites and sequences ready to send\n\nOne person with Mutiny can now run the motion that used to take a full team.\n\n## The best GTM teams already run on it\n\nRippling, Snowflake, Uber, and GitLab are among the 3,000 companies using Mutiny to win deals.\n\n> We've always invested heavily in personalized content for our enterprise accounts, but we can't do that for every deal. Mutiny lets our commercial reps create that same caliber of content on their own. Our sales team was genuinely shocked at the quality. Turning call transcripts into something slick and deal-ready is a huge unlock for our reps.”\n>\n> \\- Hillary Carpio, VP of Marketing, Snowflake\n\n> It's been game-changing to give our sellers Mutiny's design capabilities. Right off the bat, it's reducing dependency on marketing and expediting time to publish significantly.”\n>\n> \\- Gabriel Ginorio, Senior Growth Manager, Rippling\n\n> I was blown away by the new Mutiny agent. I can create personalized content for my deals in minutes without waiting on anyone. It's a game changer for sellers.”\n>\n> \\- Celeste Cote, Account Executive, Vanta\n\n## Differentiation: Ship quality work on day one, with fewer tools\n\n1. **Great at the work customers see.** Most tools only shuffle data behind the scenes. Mutiny creates the assets that move the deal, and automates the work around them.\n2. **Pre-loaded with GTM playbooks.** Get to quality output really quickly without being a GTM or AI expert.\n3. **Full visibility.** Most of the buying process happens behind closed doors. Mutiny shows who opened your assets and what they read, so you can sell even when you're not in the room and engage new stakeholders with context.\n4. **Run by anyone on the team.** AEs, BDRs, marketers, and CSMs use Mutiny in self-serve mode, not through a marketing or design queue. That changes the volume economics of personalization.\n5. **One agent, not a stack.** Mutiny consolidates ABM, sales enablement, and AI sales agents into a single agent built to help reps and the marketers who support them.\n\n## Get started today for free\n\nSign up for free at [MutinyHQ.com](http://MutinyHQ.com). Plans are Free, Business, and Enterprise.\n\nComment \"Mutiny\" on our [X](https://x.com/jalehr/status/2070160245863899264?s=20) or [LinkedIn](https://www.linkedin.com/posts/jalehr_our-launch-today-blows-up-the-entire-gtm-ugcPost-7475925252183703552-rWe_/) post and we'll triple your credits for free.\n\nEmail us: [jaleh@mutinyhq.com](mailto:jaleh@mutinyhq.com), [nikhil@mutinyhq.com](mailto:nikhil@mutinyhq.com)\n\nIf you know AEs, sales leaders, or marketing leaders at fast-moving B2B companies, we'd love an intro.\n\n![uploaded image](/media/?type=post&id=103964&key=user_uploads/220306/8f22d528-bb55-4c6a-b4e1-001c780bc3b3)\n\n",
        "url": "https://www.ycombinator.com/launches/R2q-mutiny-your-ai-agent-to-take-your-accounts-from-cold-to-closed",
        "votes": 6,
        "created_at": "2026-06-25T16:18:20.467Z"
      },
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        "id": 99529,
        "title": "Mutiny: Your AI Agent for Creating Anything Customer-Facing (used by Uber & Rippling)",
        "tagline": "An agent purpose-built for sales and marketing to create beautiful, on-brand assets in minutes, and track engagement. ",
        "body": "**TL;DR:** Mutiny is the first AI agent for sales and marketing to create polished, on-brand assets that close deals.\n\n**Figma, Rippling and Uber** already use our agent to create ABM campaigns and move deals forward with tailored business cases, deal rooms, case studies and more.\n\n**Comment “Mutiny” on our [LinkedIn](https://www.linkedin.com/posts/jalehr_we-raised-72m-from-sequoiayc-and-hit-8-activity-7447310976070283264-1NRa?utm_source=share&utm_medium=member_desktop&rcm=ACoAACKHswAB8YARQchGlnITcnK7Y_raTYmZGAE) or [X post](https://x.com/jalehr/status/2041546131709292586?s=20) & we’ll triple your AI credits for free.**\n\nLaunch video: <https://youtu.be/_OfqWVrQj3s>\n\n**The Problem: Dependencies are the #1 killer of revenue.**\n\nA decade of leading GTM teams taught me that dependencies are the biggest blocker to growth. Too many great ideas die waiting for resources: design, content, ops. We started Mutiny to let sellers and marketers move at the speed of their ideas, building experiences that wow buyers and close deals.\n\nMutiny 1.0 started as a big success: $72M from tier 1 investors like Sequoia/YC, 8-figures in ARR, and beloved by the best GTM teams in the world. But it was built on a SaaS foundation, which puts the execution onus on humans. No matter how much we injected AI, we couldn’t unlock the real power of automation.\n\nSo we killed the SaaS product and rebuilt the whole thing from scratch, this time agent-first and with even bigger ambitions.\n\n**The solution: Meet the new Mutiny.**\n\nMutiny is the first AI agent that gives GTM teams full autonomy to create whatever they need to hit their goals, on brand and personalized.\n\nYou can overcome every challenge when prospecting and closing deals:\n\n* A tailored prospecting page for a senior exec at your target account.\n* A polished business case that sells for you when you're not in the room.\n* A curated customer story that creates urgency.\n* A competitor comparison that takes your rival off the table.\n* A deal room your champion is proud to share, .\n\nOne person with Mutiny can do more in an afternoon than a team in a month.\n\n**The best GTM teams love the new Mutiny already.**\n\n30,000+ assets published. Users from Rippling, Snowflake & startups say:\n\n* Speed: 4.5X faster to create assets\n* Quality: 100% said it meets or exceeds their design bar\n* Impact: 4 out of 5 reps are more likely to hit quota with Mutiny\n* Edge: 89% say it gives them an edge in competitive deals\n\n**Differentiation: Quality is what sets Mutiny apart. It’s 100% on brand.**\n\n1. **On-brand, every time.** Mutiny extracts your colors, fonts and visual style from your website to set the guardrails, so every asset looks and sounds like you.\n2. **Personalized, automatically.** Mutiny researches your prospect and pulls in your CRM data and call transcripts, so every asset is instantly tailored to the account. Their challenges, relevant metrics, case studies, industry messaging and logo are all personalized.\n3. **Full visibility.** Most of the buying process happens behind closed doors. Your champion is forwarding decks & pitching you in meetings. Mutiny shows who opened your assets & what they read, so you can sell even when you're not in the room & engage new stakeholders w/ context.\n4. **Proven GTM best practices.** Our agent has analyzed top-performing GTM assets and frameworks and built templates for every deal stage. The agent applies your brand and context so you get a polished asset in minutes.\n\n**Sign up for free:** [MutinyHQ.com](http://MutinyHQ.com)\n\n**Comment “Mutiny” on our X or LinkedIn post & we’ll triple your credits for free.**\n\nEmail us: [jaleh@mutinyhq.com](mailto:jaleh@mutinyhq.com), [nikhil@mutinyhq.com](mailto:nikhil@mutinyhq.com)\n\nIf you know AEs, sales leaders, or marketing leaders at fast-moving B2B companies, we'd love an intro.",
        "url": "https://www.ycombinator.com/launches/PtJ-mutiny-your-ai-agent-for-creating-anything-customer-facing-used-by-uber-rippling",
        "votes": 18,
        "created_at": "2026-04-15T15:33:43.131Z"
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    "name": "Leena AI",
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    "website": "https://www.leena.ai",
    "all_locations": "New York City, NY, USA; New Delhi, DL, India",
    "long_description": "HR/IT/Finance professionals spend 50% of their time answering employees' questions and tickets. It’s even worse on the employee side, they have to wait for a long time for simple answers.\r\n\r\nWe are live with 500 customers like Coca-Cola, Sony, Puma, Vodafone, Nestle, P&G, Airbnb, etc. We have raised over $40M from top VCs like Bessemer, Greycroft, Elad Gil, etc.\r\n\r\nLeena AI consumes company’s enterprise knowledge & starts answering all employee questions just like a human would. It can even answer complex personalized questions like Why is my salary less this month?\r\n\r\nEmployees can access Leena AI from commonly used UIs like MS Teams or Slack.",
    "one_liner": "We at Leena AI build a virtual assistant that answers employee's…",
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    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/l-e-e-n-a/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 134818,
        "full_name": "Mayank Goyal",
        "title": "Founder",
        "founder_bio": null,
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mayankzuppit",
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      {
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        "full_name": "Adit Jain",
        "title": "Founder",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adit-jain-75713b5a",
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      },
      {
        "user_id": 171226,
        "full_name": "Anand Kumar Prajapati",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akprats",
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    "jobs": [
      {
        "id": 33530,
        "title": "Sales Manager",
        "url": "https://www.ycombinator.com/companies/leena-ai/jobs/9h67pWNCQ-sales-manager",
        "location": "New York, San Francisco / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "3+ years",
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    "news": [
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        "title": "leena ai: With tech, Leena AI tries to test the limits of human resource management - The Economic Times",
        "url": "https://economictimes.indiatimes.com/small-biz/entrepreneurship/with-tech-leena-ai-tries-to-test-the-limits-of-human-resource-management/articleshow/94672764.cms",
        "date": "Oct 06, 2022"
      },
      {
        "title": "HRTech Leena AI Raises $30 Mn From Bessemer, B Capital",
        "url": "https://inc42.com/buzz/hrtech-leena-ai-raises-30-mn-from-bessemer-b-capital-to-expand-siri-for-employees-application/",
        "date": "Sep 28, 2021"
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  {
    "id": 2019,
    "name": "JuziBot",
    "slug": "juzibot",
    "former_names": [
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    "website": "https://www.juzibot.com/",
    "all_locations": "Beijing, Beijing, China",
    "long_description": "JuziBot is a startup that provides smart marketing and sales services for customers on WeChat platform, the company helps SMBs build secure and stable key opinion customer (KOC) channels, as well as helps corporate clients with customer acquisition and sales conversion. JuziBot currently serves customers in education, insurance, healthcare, and a few other industries, some of the clients include Meituan Dianping, Digital China, Zuoyebang, etc., and 80% of these existing customers have been acquired through word of mouth. JuziBot's products have been known to improve the sales experience for one million sales professionals on a daily basis. \r\n\r\nThe company is invested by a number of leading VCs including PreAngel, Plug and Play, Y Combinator, TSVC, and Alpha Startups. JuziBot received the CCFA Retail Technology Rising Enterprise Award in 2018. In 2018 and 2019, respectively, the company won the 1st place in both of the task-based human-machine dialogue response naturalness, and the chat-type human-machine dialogue assessment in the SMP Chinese Human-Machine Dialogue Technology Evaluation held by the Chinese Information Processing Society of China (CIPSC).",
    "one_liner": "Intercom for WeChat, help companies to acquire,  engage, retain…",
    "team_size": 34,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1527048483,
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      "Customer Support"
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    "batch": "Winter 2019",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "China",
      "East Asia",
      "Remote",
      "Partly Remote"
    ],
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        "body": "### **TLDR**\n\nGoSearch is agentic enterprise search that unifies knowledge across 100+ apps, lets you choose between federated or indexed search, and powers no-code AI agents that take action.\n\nToday, we’re launching **GoSearch Free**, a free-forever plan for individuals to try semantic search, GoAI assistant, and custom agents.\n\n### **❌ The Problem**\n\nAI and enterprise search tools are exploding right now, but IT leaders are cautious.\n\n* Most tools take risky approaches to data management\n* Apps are increasingly locking down API access\n* Centralized indexing struggles to keep up with modern enterprise needs\n\n### **✅ The Solution: GoSearch**\n\nGoSearch connects to your tools, understands context and roles, and takes action. Unlike most, it supports both **federated search** and **traditional indexing** for flexible data management.\n\nWhat you can do:\n\n* Semantic search across 100+ apps (Slack, Jira, Drive, etc.)\n* Hybrid flexibility with full indexing controls + federated search\n* Agentic AI that summarizes docs, extracts data, and answers questions\n* No-code custom agents to automate workflows (file tickets, send invites, etc.)\n\n### **👀 What’s New: GoSearch Free**\n\nFree-forever, personal tier with:\n\n* Full semantic search across Gmail, Drive, Slack, and more\n* GoAI assistant for summarization, Q&A, and data extraction\n\n  ![uploaded image](/media/?type=post&id=93717&key=user_uploads/213767/74b0aefb-f1e3-4747-bb99-dcf266f6a7ef)\n\n* Custom, no-code agents for recurring tasks\n* Easy scaling to Pro/Enterprise as your team grows\n\n  ![uploaded image](/media/?type=post&id=93717&key=user_uploads/213767/631b0f30-be42-45bb-80cc-ea9552509b27)\n\n\n### **🔗 Links**\n\n👉[ Sign up free here](https://gosearch.ai)\n\n🗞️ [Read the press release](https://www.prweb.com/releases/gosearch-launches-free-forever-personal-enterprise-search-and-ai-agent-platform-302547859.html)\n\n### **🙏 Our Ask**\n\n* Try GoSearch Free and let us know what you think!\n* Found a bug or edge case? Tell us, we’re shipping fast.\n\nReach out at [**jorge@golinks.io**](mailto:jorge@golinks.io).",
        "url": "https://www.ycombinator.com/launches/ONZ-gosearch-free-personal-enterprise-search-ai-agents",
        "votes": 28,
        "created_at": "2025-09-09T15:51:46.747Z"
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        "title": "👥🤖 GoProfiles - GenAI people platform for distributed workforces",
        "tagline": "A hub for your team to find shared connections, celebrate wins, and boost company culture — powered by gen AI!",
        "body": "## **TLDR:**\n\n[GoProfiles](https://www.goprofiles.io) (from the makers of [GoLinks](https://www.golinks.io) and [GoSearch](https://www.gosearch.ai)) is an AI people platform built for employees everywhere—created for the new way of work. With GoProfiles, teams celebrate achievements, foster strong bonds, and gain the context needed to collaborate and connect. \n\nWe combined the best parts of employee directories and peer recognition to build a totally new kind of people platform. Increase employee productivity and collaboration through GoProfiles.\n\n## **🎬 Trailer**\n\n<https://www.youtube.com/watch?v=YhngNnFMnV8>\n\n## **❌ The Problem**\n\nRemote teams are increasingly disconnected, and it’s hurting company morale and productivity:\n\n* 52% of remote workers feel less connected to their peers\n* 68% of employees feel disengaged at work\n* This equates to $1.9 trillion in lost productivity due to burnout\n\n## **✅ The Solution**\n\nHappy, engaged employees are productive employees. \n\n[GoProfiles](https://www.goprofiles.io), from the makers of [GoLinks](https://www.golinks.io), is an AI people platform that increases employee engagement, collaboration, and productivity. With features that include:\n\n* AI people search to connect with like-minded folks (\"Who likes spring and lives in California\")\n* Peer recognition through Bravos, groups, and interests to connect on common interests\n* Interactive employee maps, rich employee profiles\n* Interactive org chart, job hierarchy, birthdays and anniversaries\n* And so much more.\n\n![](https://lh7-us.googleusercontent.com/jtWzZjT39J6C5SRh2gEPAAZRl8V-7JYiHEz8GIG7uFoK9rMVA5ahrkiT2FwaMIDJGafhBvuvfFqmlUJwxhUCMYOUlHT-oPUm66OfRA11ZawKa_P1Jos2rq8TgBO4giID_7Roa3t-1XPyZsteKvSCvVY)\n\n**Make people data personal — beyond names and titles**\\\nSpotlight employees with rich profiles that showcase their achievements, personalities, and history with your company.\n\n**Discover employee connections with AI**\\\nAI-powered search and chat make asking questions like, “Do we have employees in Colorado?” and “Who is the newest hire to join the Design team?” possible.\n\n<https://www.youtube.com/watch?v=og8yekr1WMA>\n\n**Cultivate a positive culture of peer appreciation**\\\nGive employees an easy way to recognize their peers with sociable Bravos that celebrate achievement.\n\n**Visualize your distributed team on a global map**\\\nUnderstand the geography of your remote colleagues — whether a couple of cities over or across the pond.\n\n**Get clarity into teams and reporting hierarchy**\\\nEmpower teammates to explore connections across your company with an org chart, directory, and employee map.\n\n**Auto-populate employee records from any HRIS**\\\nConnect one—or many—HRIS platforms to effortlessly integrate employee data and keep it current with automatic syncs.\n\n## **🙏Our Ask**\n\n* [Learn more](https://www.goprofiles.io) about GoProfiles.\n* Try GoProfiles for free. [Sign up now.](https://www.goprofiles.io/signup)\n\nIf you are interested in seeing GoProfiles in action, [let’s chat!](https://www.goprofiles.io/sales)\n\n![](https://lh7-us.googleusercontent.com/tpVE01GTseQL42Q8iQ1ljGUfg_3NyA4FhIAKZMAZJAvKuZJ4tAzzGZRITt8OJfKOxYdIVRdAUk3YQmmAmtaktJozrM6GqhXCztXwgi5GvH3-QGEhgRFjG-rVluVtIf9sPlAGVnOJM1aSvhthoobdaUA)\n\n",
        "url": "https://www.ycombinator.com/launches/KsD-goprofiles-genai-people-platform-for-distributed-workforces",
        "votes": 44,
        "created_at": "2024-04-17T15:30:22.661Z"
      },
      {
        "id": 76914,
        "title": "🔎🤖 GoSearch - GenAI Enterprise Search",
        "tagline": "Search across workplace apps with multimodal-AI enterprise search. ",
        "body": "## TLDR:\n\n[GoSearch](https://www.gosearch.ai/?utm_source=YC-Launch&utm_medium=referral&utm_campaign=gosearch-launch&utm_content=landing) is the first multimodal genAI enterprise search solution, leveraging GPT4-Turbo-Vision to deliver more precise and context-aware workplace search results across 100+ apps.   \n\n## 🎬 Trailer\n\n[See GoSearch in action.](https://www.youtube.com/watch?v=ALNmN0wO_zI) 👇\n\n## ❌ The Problem\n\n* Companies face information sprawl across an ever-growing stack of apps — 137 in the average org. \n* Teams lose valuable productivity time — 5 weeks per year — searching for the information they need to do their jobs.\n* When employees aren’t connected to the right resources and people, work is duplicated or slowed, outcomes are worsened, and burnout increases.\n\n \n\n## ✅ The Solution\n\n* Introducing [GoSearch](https://www.gosearch.ai/?utm_source=YC-Launch&utm_medium=referral&utm_campaign=gosearch-launch&utm_content=landing), a generative AI enterprise search platform from the makers of [GoLinks](https://www.golinks.io?utm_source=YC-Launch&utm_medium=referral&utm_campaign=gosearch-launch&utm_content=landing).\n* Whether the query is password reset, q4 roadmap, or a screenshot, GoSearch works like Google to surface resources from across apps and provide answers summarized by AI.\n\n \n\n#### **Unify knowledge**\n\nConnect 100+ personal and company SaaS apps into a single, unified search interface.\n\n#### **Avoid workflow interruptions**\n\nSearch directly from a new tab with announcements, recently used apps, and meetings.\n\n![uploaded image](/media/?type=post&id=76914&key=user_uploads/213767/93363b0d-b757-4d00-af9f-19715d471026)\n\n#### **Connect resources and people**\n\nAnswer people-specific queries with support for 40+ HRIS integrations.\n\n#### **Experience an AI assistant**\n\nChat with AI to surface insights and answers summarized from multiple sources.\n\n![uploaded image](/media/?type=post&id=76914&key=user_uploads/213767/af68f123-d8b2-4c9f-9b5d-391896efe14f)\n\n## 🙏 Our Ask\n\n* [Sign up for a demo](https://www.gosearch.ai/sales?utm_source=YC-launch&utm_medium=YC&utm_campaign=YC-post&utm_content=demo) today.\n* [Learn more](https://www.gosearch.ai/?utm_source=YC-Launch&utm_medium=referral&utm_campaign=gosearch-launch&utm_content=landing), and let’s chat!\n\n ",
        "url": "https://www.ycombinator.com/launches/K0Y-gosearch-genai-enterprise-search",
        "votes": 67,
        "created_at": "2023-12-14T16:12:41.810Z"
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        "full_name": "Yuliya Raquel",
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        "id": 84021,
        "title": "🚀 PatternFast: AI for instantly manufacturable fashion",
        "tagline": "We help fashion brands to launch collections in minutes, not months.",
        "body": "<https://youtu.be/ae-nD8J-IIA>\n\n\\\n\\\nTLDR: At PatternFast we make it quick, inexpensive and painless for fashion companies and brands to design, develop and release new styles and collections.\n\n![uploaded image](/media/?type=post&id=84021&key=user_uploads/275448/2a022106-b166-4c05-87e5-a52d71f1d398)\n\n\\\n**The Problem: designing and developing fashion is very long, difficult, complex and expensive.** \\\nDesigning and developing fashion is extremely difficult. Each step involves long and tedious work: sketching a design, creating a tech pack, drafting and fitting an initial pattern, making a sample, adjusting the pattern after fitting on a model (typically 2-3 fittings), modifying the pattern to fit specific fabrics, grading the pattern to fit all sizes, measuring each point of the pattern, making a pre-production tech pack, sewing a final sample, and finally taking pictures. The process is exceptionally complex, wasteful, expensive, and time-consuming, averaging over 92 hours per style. It costs brands $70,000 per 5 new styles on average. Some collections have more than a 1000 styles, costing brands millions of dollars and many months to complete.\n\n![uploaded image](/media/?type=post&id=84021&key=user_uploads/275448/f68e3c78-590d-4a35-acb2-db94e30b7c01)\n\n\\\n\\*\\*The Solution: AI that assists design, product development and prepares for production; and creates photos of new fashion styles in minutes, not months.\\*\\*\\\nPatternFast helps fashion companies and brands design and launch new collections in minutes instead of months. We save brands 90% of the time and 95% of the costs associated with the tedious, time-consuming, and complex process of garment design and development. Our AI software enables the instant design of over hundred billion of unique styles, complete with production-ready documentation, patterns, and automated sizing.\\\n\\\nIn just a few clicks, PatternFast creates new designs for women, men, children and teens. It also:\n\n2. Customizes sizes for made-to-measure retail and manufacturing, and provides a full size run for mass production, based on the brand’s size run.\n3. Enables smart pattern adjustments to work with any fabric, perfects fit, adds automated seam allowances, accounts for shrinkage and compression, and adjusts for stretch factor.\n4. Generates a tech pack with all of the pattern measurements for each selected size.\n5. AI designer creates infinite new designs based on the user input and both, unique brand’s pattern dataset, combined with billions of available patterns to mix and match.\n6. AI designer creates instant color-ways and print-ways.\n7. Gen-AI creates a photorealistic image of the sketch and puts it on a model for a catalog image\n8. Custom API integrates with other solutions.\n9. Patterns are compatible with third party solutions such as Browzwear, CLO3D, Gerber and many others.\n\n![uploaded image](/media/?type=post&id=84021&key=user_uploads/275448/ca7e5c10-8522-4e8f-a162-bbdb95fe4a9d)\n\nPlease spread the word and book a free demo at patternfast.com",
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    "id": 11992,
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    "id": 11994,
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        "title": "Fullstack Engineer",
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        "body": "**TL;DR** Demodesk delivers personalized, actionable sales coaching after every call based on insights from over 1 million sales calls and frameworks from leading sales coaches.\n\n⭐ [**Sign up for a free 30-day trial**](https://demodesk.com/manage/auth/register?seatType=ci&utm_source=ycombinator&utm_medium=referral&utm_campaign=launchYC) ⭐\n\n⭐ [**Book a demo with us**](https://demodesk.com/select/demodesk-gmbh/inbound-website-booking?utm_source=ycombinator&utm_medium=referral&utm_campaign=launchYC) ⭐\n\n[ ](https://www.youtube.com/watch?v=W1442h11mrI)\n\n🔴 **Problem** 🔴\n\n* Sales managers don't have time to watch hours of recordings to find out what top performers are doing differently than the rest\n* Coaching and training each team member individually is challenging and requires a lot of time and experience\n* There is no one way to sell, and some things may work for some reps and not others\n\n**🔷 Solution 🔷**\n\n* **AI Sales Coach:** Delivers personalized, actionable sales coaching after every call to help reps improve their performance – without requiring team leaders to work overtime or have a PhD in data analysis\n* **AI Assistant**: Automatically transcribes, summarizes, and extracts key insights from sales calls using battle-proven summary frameworks (e.g. BANT, MEDDIC, SPICED) and logs all relevant information into your Salesforce, HubSpot, or Pipedrive CRM - saving sellers time automating the tasks that they don’t like to do\n* **AI Insights**: Provides X-ray vision across calls to quickly identify areas for improvement and gain insights that make a difference – without spending hours watching recordings, reviewing transcripts, or deciphering call stats\n\n⭐ [**Sign up for a free 30-day trial**](https://demodesk.com/manage/auth/register?seatType=ci&utm_source=ycombinator&utm_medium=referral&utm_campaign=launchYC) ⭐\n\n**Why Demodesk Coaching & AI versus other solutions?**\n\n* Self-signup, no set-up effort, and intuitive to use\n* Works out of the box with Zoom, Google Meet & MS Teams and integrates with your dialing/engagement software\n* Built for salespeople and designed for maximum adoption - helps them save time and improve their own selling skills\n* Works in 98 languages\n* Experienced team to help you further customize summary frameworks and coaching scorecards to fit your specific sales process\n* 5 years experience in building sales software and working with international sales teams (we were part of YC 2019)\n* More exciting features on the roadmap for Q2 (e.g. trend analysis, ability to ask questions about a meeting, replicating your own sales coaching style/building your personal AI Sales Coach)\n\n[Sign up here for a free 30-day trial,](https://demodesk.com/manage/auth/register?seatType=ci&utm_source=ycombinator&utm_medium=referral&utm_campaign=launchYC) or contact us at [founders@demodesk.com](mailto:founders@demodesk.com).\n\n![uploaded image](/media/?type=post&id=80387&key=user_uploads/243470/28d440e9-a57c-4d48-a688-a3aa249262a9)\n\n",
        "url": "https://www.ycombinator.com/launches/KuZ-demodesk-2-0-ai-sales-coach",
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        "created_at": "2024-04-24T15:17:13.834Z"
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        "body": "👋Hey everyone - I’m Benji, Co-Founder and CEO of Ashby.\n\nAshby is a new take on recruiting software - optimized for ambitious, operationally minded hiring teams. You can think of it as a bundle of an ATS, a sourcing tool, a scheduling automation product and a recruiting specific BI tool.\n\n![uploaded image](/media/?type=post&id=66014&key=user_uploads/34135/d2e94e77-fd37-41c5-aca8-ee0811f0edae)\n\n**📝 Our story**\n\nAshby was founded by my Co-Founder Abhik and I after we struggled hiring large Engineering teams with existing ATS products. Recruiting has become a lot more sophisticated over the last few years - because competition for talent has become fiercer - and we simply felt that products had not kept up with that.\n\n**💡 Bringing data and power to talent teams**\n\nA few years ago “recruiting operations” was still a foreign concept to most companies, but that is changing quickly as companies of all stages are getting more sophisticated about how they recruit.\n\nOur goal is to provide these ambitious hiring teams with a bundle of best in class tools:\n\n* 📊 We’ve focused on powerful reporting and dashboarding from day one. Modern recruiting teams run on data and we provide them with all the reporting tools they need, directly within Ashby\n* ⚙️ We provide a scalable ATS that has all of the features you’d expect (from posting jobs over approvals to custom fields and permission roles) but that is also easy to use for the end-user (and for early stage teams)\n* 📆 Scheduling automation allows your team to schedule interviews 3x faster while also providing candidates with a significantly better experience\n* 💌 To help you build pipeline we include a Chrome Extension, email discovery and multi-touch email sequences (including, sending on behalf of other team members)\n\nYou can learn more on: <http://ashbyhq.com/> and we’d also appreciate your support on our [ProductHunt launch today](https://www.producthunt.com/posts/ashby).",
        "url": "https://www.ycombinator.com/launches/HAk-ashby-a-powerful-all-in-one-recruiting-tool",
        "votes": 29,
        "created_at": "2022-09-13T10:44:48.603Z"
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    "long_description": "Supernova connects to popular design editors and interprets design systems into data. These data can then be transformed in powerful ways to create code for product development, for literally any coding stack or platform imaginable. \r\n\r\nThese transformations can be fully automated so that when design changes occur, the code is automatically updated to reflect the changes. Developers can fully control how the code is rendered, literally down to the individual code characters. An ecosystem of Supernova-developed and community-maintained code export packages is available for popular stacks and platforms via the Supernova Store, or teams can choose to create their own — for instance, to support proprietary frameworks or to customize code output to meet any company guidelines.",
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        "full_name": "Jiri Trecak",
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        "title": "Supernova 🌌 Create, document and distribute your next design system",
        "tagline": "Supernova helps to create, maintain, scale and adopt design systems on any scale",
        "body": "**Building, maintaining and adopting design system is hard. Really hard.**\n\nThere are almost no tools to help and data needed to build one are all over the place - in Figma, Storybook, maybe in Notion or Confluence, resulting in a huge mess and teams struggling with adopting your creation. And to make the matter worse, many teams don’t know how to build a proper design system in the first place.\n\nHey you, thanks for checking our platform [👋](https://emojipedia.org/waving-hand/) It’s Jiri, CEO, and founder of [Supernova.io](http://Supernova.io). Let me take you on a tour!\n\n### How it works\n\n![uploaded image](/media/?type=post&id=64208&key=user_uploads/131850/1136c993-cf2e-4a0a-9a47-fd017f5bed1f)\n\nWith Supernova, you can create, manage, document, and distribute a design system at one place. We have thousands of teams onboard who are in many cases seeing multiples in terms of increase in efficiency and the adoption of the design system - plus who doesn’t love a good and fun experience when creating it? Here are some main features you’ll love.\n\n### Design System Management\n\nDesign systems consist of components, tokens, assets, fonts, branding resources and many more disparate elements - with Supernova, everything lives together, forming a coherent and easily maintainable design system using power tools at your disposal, such as asset and component manager or a dashboard to manage all design system processes.\n\n![uploaded image](/media/?type=post&id=64208&key=user_uploads/131850/5bd77bb6-4bc3-4582-b9aa-6086d5e5a561)\n\n### Documentation\n\nWe got carried away (a lot) and basically created a replica of Notion editor (amazing editing experience!) focused on documenting design systems. You can document and also share/distribute every aspect of your design system using all data from your libraries.\n\nBest of all, the editor feels like magic because it keeps your documentation up to date, changing the content automatically as you change and improve your design system. No more changing 500 pages of the documentation manually!\n\nWe even made our own user documentation using it - [check it out](https://learn.supernova.io/)!\n\n![uploaded image](/media/?type=post&id=64208&key=user_uploads/131850/7072ff7f-ac54-47df-87c9-bbc46111242c)\n\n### Automated synchronization and distribution\n\nWe all come from automation backgrounds - and so Supernova is packed with automation from top (importing and synchronizing design and code you create in other tools) to bottom (automated export, synchronization with codebases, automatically rewriting your docs).\n\nAs an example, you can setup Supernova in such a way that if you create a new icon in Figma, a pull request will be open against all your repository with that icon, properly formatted. Now imagine if you add 10 icons, for React, iOS, and Android, with 4 different themes and 10 different white-labeled apps - talk about saving time.\n\n### Too much to write here\n\nWe poured our heart and soul into making the best design system platform possible and there are hundreds of small things that make design systems a better experience with Supernova - and your life better day-to-day if you are tasked with creating and maintaining it.\n\nIf you struggle with your design system, just let us know or try out the platform right away (<https://supernova.io/>), it is free to start with and scales extremely well even for large teams!\n\nCan’t wait to have you onboard, enjoy!",
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    "long_description": "Open, grab-n-go marketplace powered by computer vision. We invite partners like chained restaurants to run most of the logistics. By giving them more customers, we get a cut of each sale ;)",
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        "id": 84634,
        "title": "Dover: Recruiting partners",
        "tagline": "World-class, on-demand fractional recruiters.",
        "body": "# tl;dr:\n\n• Today, Dover is launching Recruiting Partners, connecting you with seasoned recruiters who work as an extension of your team.\n\n• Get flexible, on-demand recruiting help from pros with 10-15 years of experience who've worked with top startups and tech companies.\n\n• Scale your recruiting efforts up or down as needed, without the overhead of a full-time hire.\n\n• Most companies spend an average of $80/hour. Start with as little as $800 (fully refundable deposit).\n\n✨ If you're hiring, get matched with a recruiter at [dover.com/recruiter](http://dover.com/recruiter) ✨\n\n# Dover Recruiting Partners\n\nWe're thrilled to launch Dover Recruiting Partners – our biggest update yet to how startups can hit their hiring goals and hire the best talent.\n\nOver the past 5 years, Dover has helped 1500+ companies like Stripe, Scale AI, OpenSea, Benchling, and Vanta attract and hire top talent. Now, we’re introducing our most flexible and full-service hiring solution for startups: Dover Recruiting Partners.\n\n# 🚀 What are Dover Recruiting Partners?\n\nDover Recruiting Partners are vetted fractional recruiters who can work as an extension of your team. We only accept the top 2% of recruiters.\n\n![uploaded image](/media/?type=post&id=84634&key=user_uploads/5516/5b78d9d2-2b56-4bf3-8c70-9d233f4a3396)\n\n# Key features\n\n1️⃣ On-demand expertise: Get help from experienced recruiters when you need it, without the overhead of a full-time hire. Perfect for startups and companies with variable hiring needs.\n\n2️⃣ Flexible pricing: Ramp up or down based on your hiring needs – pay only for the hours you use.\n\n3️⃣ Tech-enabled efficiency: Recruiters can use Dover’s ATS, Sourcing Extension, and other tools so they can focus on strategic work and keep their costs low.\n\n4️⃣ Transparent metrics: We share cost-per-hire and fill rates for our recruiters before you hire them so you can find the perfect recruiter for you.\n\n# 🤔 Why did we build this?\n\nRecruiting consistently ranks as a top 3 problem for startups, regardless of their stage or industry. Before companies are big enough to justify hiring a full-time recruiter, they often have to resort to agencies.\n\nWe like to say with agencies, \"You'll be unhappy either way\"—either you won't make a hire and waste time, or you will make a hire and pay $30k+ per placement. There’s a reason you don’t hire engineers or marketers on “contingency.”\n\nWe wanted to provide a more flexible, higher-quality solution. Dover Recruiting Partners gives you access to top-tier recruiting talent without the long-term commitment or exorbitant fees. Our fractional recruiting model allows you to work with a separate expert recruiter for each role you're hiring for, whether it's a senior engineer, a sales leader, or a product manager.\n\n# 💰 How much does it cost?\n\nMost companies spend an average of $80 per hour, depending on the services they use. The cost per hire across the platform varies, but it usually ends up being between $4 and $7k.\n\n# 🚀 How do I get started?\n\nHead to [dover.com/recruiter](http://dover.com/recruiter) and click \"Get matched with a recruiter\". We'll set you up with a free call to understand your needs and match you with the perfect Recruiting Partner.\n\nWe're excited to help companies of all sizes build amazing teams. If you have any questions, drop them in the comments or email me directly at [max@dover.com](mailto:max@dover.com).\n\nRead more about how we got here on our blog: <https://www.dover.com/blog/introducing-dover-recruiting-partners>\n\nHappy hiring! 🎉",
        "url": "https://www.ycombinator.com/launches/M14-dover-recruiting-partners",
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        "id": 76737,
        "title": "AI Applicant Sorting by Dover",
        "tagline": "Chat-powered assistant to help you review resumes 10x faster",
        "body": "<https://www.youtube.com/watch?v=XDETxEtJiCQ&t=1s>\n\nApplicant volume for roles in tech has risen 2.4x in 2023 from last year’s averages. Yet it’s harder to filter down to top candidates and you can’t get back to everyone. It sucks for candidates too — they never hear back, and candidate experience takes a hit.\n\nThe proprietary tech that powers our automated outbound sourcing engine is now applied to reveal top applicants across all your job boards. Use extremely powerful filters and chat to find candidates matching exactly what you’re looking for and review resumes 10x faster — for free.\n\n**What is Dover?**\n\nOver the last five years, Dover (YC S19) has enabled Scale AI, OpenSea, Benchling, Vanta, Stripe, and 500+ other startups to make thousands of hires. You may have seen some of our other launches like our [Applicant Tracking System](https://www.producthunt.com/products/dover#free-ats-by-dover) and [Sourcing Autopilot](https://www.producthunt.com/posts/dover-autopilot).\n\n**What’s different from other resume review tools?**\n\nDover’s AI Applicant Sorting goes far beyond keywords. Dover has a knowledge graph of companies, industries, skillsets, and more.\n\nAI Applicant Sorting allows you to use super powerful filters and chat to find candidates based on exactly what you’re looking for.\n\nAs you review candidates, quickly approve or reject with a click. Take bulk actions to send the next steps in a fraction of the time. Use hotkeys to speed up review time even more.\n\n**What kinds of queries can I sort or filter by?**\n\nIt’s AI-powered, so you can get pretty nuanced:\n\n* “6+ years experience”\n* “based in the US or Canada”\n* “candidates with a fintech background”\n* \"people with experience at B2C startups”\n* “people who have worked on scalable systems”\n* “full stack engineers or people with similar titles”\n* “applicants who worked at well-reputed companies”\n* \"account executives with experience at SaaS startups\"\n* “product managers working in healthcare in San Francisco\"\n* “candidates with FAANG experience who went to a top school”\n* \"software engineers with at least 5 years of experience with React or Typescript experience\"\n\n**How hard is it to set up?**\n\nImport existing applicants from your Applicant Tracking System or get new candidates by posting a job for free with Dover’s ATS, which has everything startups need to build a great recruiting process and candidate experience. It costs $0 and takes 10 minutes to set up.\n\nJust want to try it out? Start using the tool with sample candidates in only a few minutes.\n\n**How much does it cost?**\n\nDover’s AI Applicant Sorting is totally free to use, just like our Applicant Tracking System.\n\n**Why is Dover releasing this for free?**\n\nDover’s mission is to help every company run an incredible hiring process and every candidate has a great experience. The best way to do this is by building easy-to-use tools to help every company get the basics right.\n\nWe make money by selling [Sourcing Autopilot](http://dover.com/sourcing-autopilot) and [Embedded Recruiter](http://dover.com/embedded-recruiter) to companies that need help with sourcing or full-cycle recruiting.\n\n**How do you ensure the AI doesn’t create bias?**\n\nIf you throw AI at a problem, bias can be created. We’ve built this model by inputting specific data and criteria and examining what’s happening with the AI output. We use AI to make it faster and easier.\n\nWe built this feature to make sure you find people who should get a second look and to ensure everyone hears back from you. AI is used to sort candidates, Dover doesn’t autoreject based on its output.\n\n**How do I get started?**\n\nGet started [**here**](https://www.dover.com/ai-sorting?utm_source=bookface&utm_campaign=ai_sorting_bfwww.dover.com/ai-sorting?utm_source=bookface&utm_campaign=ai_sorting_bf).\n\nIf you’re interested in a demo or a white-glove onboarding, email [hello@dover.com](https://www.producthunt.com/products/dover#free-ats-by-dover)",
        "url": "https://www.ycombinator.com/launches/Jxh-ai-applicant-sorting-by-dover",
        "votes": 10,
        "created_at": "2023-12-07T17:18:51.315Z"
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      {
        "title": "Pitch Deck: How Y Combinator Startup WorkClout Raised  $2.3 Million",
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    "website": "https://firstdelivery.com/",
    "all_locations": "Philadelphia, PA, USA; Remote",
    "long_description": "We are building the Marketplace for On Demand Delivery. \r\n\r\nWe provide an all-in-one Delivery OS that brings all orders into one place, dispatches these orders to the best available delivery service, and provides the tools to manage the post-purchase experience.\r\n\r\nThe founding team started Habitat Logistics, where we powered delivery for restaurants, and delivered over 1M orders all on our own software.",
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        "full_name": "Andrew Nakkache",
        "title": "Founder",
        "founder_bio": "Hey, I'm Andrew! I originally got into YC for a business called Habitat Logistics, where we delivered orders from Grubhub, Uber, and DoorDash. 
In having to build our own software, we realized that…everyone is having to build their own software. Before starting Habitat and now FIRST, I graduated from Temple University in Philadelphia and graduated with a degree in economics. I'm particularly fascinated by behavioral economics. I also enjoy playing tennis and skiing. \n",
        "is_active": true,
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        "full_name": "Michael Paszkiewicz",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/mikepaszkiewicz",
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        "title": "Head of Europe",
        "url": "https://www.ycombinator.com/companies/first/jobs/sdn0adw-head-of-europe",
        "location": "London, England, GB / Remote (London, England, GB)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "",
        "experience": "1+ years",
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        "id": 111017,
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        "url": "https://www.ycombinator.com/companies/first/jobs/ZX3bl5A-territory-account-executive",
        "location": "Philadelphia, PA, US / Remote (Philadelphia, PA, US; New York, NY, US)",
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    "id": 12280,
    "name": "Cosmic",
    "slug": "cosmic",
    "former_names": [
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    "website": "https://www.cosmicjs.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Cosmic is an AI-powered headless CMS built for teams that move fast. We combine flexible content infrastructure with AI Agents that live in Slack, write content, build features, fix bugs, and deploy apps autonomously.\r\n\r\nDevelopers get a REST API with sub-100ms response times, a TypeScript SDK, CLI, and MCP Server that plugs directly into Cursor, Claude Code, and GitHub Copilot. Content teams get an intuitive dashboard with 20+ metafield types, AI image and video generation, and no migrations ever.\r\n\r\nTeams use Cosmic because it eliminates the need to build and maintain CMS infrastructure while giving them AI capabilities most platforms haven't shipped yet. Used by teams in 150+ countries, 50M+ API requests per month, 99.9% uptime SLA.\r\n\r\nForever free plan. No credit card required.",
    "one_liner": "Cosmic is an AI-powered headless CMS",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Tony, the CEO, worked on CMS tools for years (WordPress, Drupal, etc) and found the process of building websites with legacy CMS systems daunting. He started building Cosmic to have an API-powered CMS that enabled content to be delivered to any website or app."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We had showed our product to various developers that we thought would give us good feedback. One of their best points of feedback was to apply to YC. Doing YC was a great experience. Being apart of the network, events, staying connected though Bookface, finding quality candidates to join us on our mission, has been hugely beneficial."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We haven’t kept in touch with group partners or other YC batch mates, however we have certainly stayed connected on Bookface and have used it as a way to source talent to join our team, and keep up with the latest startup advice and latest news."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "It’s been ups and downs, but it has trended up!"
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "We believe that content is still king. Cosmic provides a way to build content powered websites and apps faster and easier. Businesses that use Cosmic have found themselves unblocked with their content ops, enabling them to move faster to market, and giving them an unfair advantage in the marketplace."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We see a world where content powered apps will be easier than ever to build with three layers provided by Cosmic:1. A service that gives developers and content teams a strong foundation will a scalable dashboard, API, and asset management service.2. A marketplace that enables teams to leverage the Cosmic community to build the best websites and apps on the internet.3. An integration network that enables effortless connections to 3rd-party services to enable faster deployment and automation to reach customers all over the world.When we have achieved these goals, the world will have the most optimized developer experience for building content powered websites and apps, development will be faster, easier, and cheaper, and the web user experience will be better all over the world."
      }
    ],
    "url": "https://www.ycombinator.com/companies/cosmic",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/cosmic.json",
    "year_founded": 2016,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cosmicjs",
    "x_url": "https://twitter.com/cosmicjs",
    "fb_url": "https://facebook.com/cosmicjs",
    "cb_url": "https://www.crunchbase.com/organization/cosmic-js",
    "github_url": "https://github.com/cosmicjs",
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    "founders": [
      {
        "user_id": 106867,
        "full_name": "Tony Spiro",
        "title": "Founder/CEO",
        "founder_bio": "My name is Tony Spiro (Cosmic W2019) I'm interested in solving problems with technology. Find me on Twitter: @tonyspiro",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tonyspiro/",
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      {
        "id": 93336,
        "title": "The Cosmic AI Platform: A complete AI-enabled app development & deployment platform",
        "tagline": "Build and deploy content-powered apps using natural language",
        "body": "![uploaded image](/media/?type=post&id=93336&key=user_uploads/106867/4bc9f675-53e8-4b40-b98a-0c27776d5519)\n\nHello,\n\nI'm Tony, CEO at Cosmic. We're excited to announce the launch of the Cosmic AI Platform, a revolutionary system that transforms how you create content, build, and deploy applications.\n\nThe Cosmic AI Platform reinvents what a CMS can be - it's now a complete AI-enabled application development and deployment platform. Build and deploy anything you can imagine using natural language, in minutes.\n\nKey features:\n\n* AI Content Studio: Generate complete content models and content from natural language descriptions\n* AI-Powered Development: Build applications with Next.js, React, Astro, and Vue.js using AI\n* Full Deployment Pipeline: GitHub integration, Vercel deployments, environment management, and domain services\n\nThe platform is available now on all Cosmic accounts. We've increased our free tier to 300k tokens (up from 10k) so you can try these new capabilities.\n\n[Log in to the Cosmic](https://app.cosmicjs.com/login) dashboard to try it out. and read more about the release [here](https://www.cosmicjs.com/blog/introducing-the-cosmic-ai-platform). We'd love to get your feedback!\n\nTony Spiro\n\nRead below to learn more about the release.\n\n## AI Studio\n\n### Content Model Generation\n\n![uploaded image](/media/?type=post&id=93336&key=user_uploads/106867/10991c4f-d305-481b-a8f6-c8f4d8ac13ae)\n\nThe AI Studio generates complete content structures from natural language descriptions. Instead of manually configuring fields, relationships, and validation rules, you can describe what you need and receive a fully functional content model with multiple content types, relationships, and demo content to get started fast.\n\n**Content model capabilities:**\n\n* Generate content models for any type of website or application\n* Add new content types that integrate with existing structures\n* Configure relationships between content types automatically\n* Create complex multi-language structures with custom validation\n\n**Working examples:**\n\n* \"Create a content model for an e-commerce store with products, collections, and customer reviews\"\n* \"Add an Events content model that relates to my existing blog posts and authors\"\n* \"Set up a portfolio website with projects, skills, and testimonials\"\n\n### Content Management\n\n![uploaded image](/media/?type=post&id=93336&key=user_uploads/106867/236b7d58-61c4-46ac-bd24-6deb0b96b05e)\n\nBeyond structure creation, the AI handles content generation and management at scale.\n\n**Content operations:**\n\n* Generate realistic sample content for testing and development\n* Bulk update existing content with new fields and metadata\n* Maintain consistency across large content datasets\n* Apply SEO optimization and structured data automatically\n\n**Practical applications:**\n\n* \"Create 10 sample blog posts with realistic content for my existing blog model\"\n* \"Update all product entries to include pricing and availability status\"\n\n## Application Development and Deployment\n\n### AI-Powered Code Generation\n\n![uploaded image](/media/?type=post&id=93336&key=user_uploads/106867/cad24796-508e-4028-9aa1-5101dd5729aa)\n\nThe Cosmic AI Platform generates production-ready applications using your existing content structure. Applications are built with modern frameworks and include proper TypeScript definitions, responsive design, and performance optimizations.\n\n**Supported frameworks:**\n\n* Next.js applications with server-side rendering\n* React dashboards and single-page applications\n* Astro static sites with modern tooling\n* Vue.js progressive web applications\n\n### GitHub Repository Integration\n\nConnect existing GitHub repositories or create new ones with full workflow support and deployment preview capabilities.\n\n**Repository management:**\n\n* Connect private and public GitHub repositories\n* Access repositories from all GitHub organizations\n* Branch detection and management\n* Protected branch support with pull request workflows\n\n### Deployment Pipeline\n\nApplications deploy through an integrated pipeline with enterprise-level capabilities.\n\n**Deployment capabilities:**\n\n* Vercel integration with automatic deployments\n* Preview URLs for every deployment\n* Environment variable management across deployment targets\n* Real-time deployment logs and monitoring\n* Custom domain assignment and management\n* Pull request preview deployments\n\n### Environment Configuration\n\nManage application configuration securely across all deployment environments.\n\n**Environment management:**\n\n* Add, edit, and remove environment variables\n* Target-specific configuration for production, preview, and development\n* Encrypted storage for sensitive information\n* Bulk operations for efficient management\n\n### Domain Management\n\nComplete deployment workflow includes integrated domain services.\n\n**Domain capabilities:**\n\n* Domain purchase directly from the platform\n* Automatic DNS configuration\n* SSL certificate provisioning\n* Custom domain assignment to deployments\n\n## A New Era for CMS\n\nThe Cosmic AI Platform represents a new approach to content management and application development. The integration of AI throughout the entire workflow—from content modeling to deployment—provides capabilities that weren't previously available in a single platform.\n\nThe system is designed for teams that need to move quickly from concept to production while maintaining code quality, deployment reliability, and security. Whether building content sites, applications, or complex multi-tenant systems, the platform provides the tools necessary for modern development workflows.\n\n## Next steps\n\nTo get started with the new Cosmic AI Platform [log in to your Cosmic account](https://app.cosmicjs.com/login) and find the new links to the AI content studio and code development pages, available on all accounts and plans. And see what others in the Cosmic community are building on the [Community page](https://www.cosmicjs.com/community). We're excited to see what you build with the Cosmic AI Platform.",
        "url": "https://www.ycombinator.com/launches/OHQ-the-cosmic-ai-platform-a-complete-ai-enabled-app-development-deployment-platform",
        "votes": 6,
        "created_at": "2025-08-27T13:44:29.511Z"
      },
      {
        "id": 71785,
        "title": "🚀 Cosmic - Headless CMS and API toolkit v2.0",
        "tagline": "Cosmic is an API-first content management system (CMS). We provide a web dashboard to create content, and API tools to deliver content to any website or app. ",
        "body": "**tl;dr:** We just launched Cosmic 2.0 which includes a whole new Cosmic headless CMS dashboard, API, documentation, and website.\n\n* 👥 [Sign up for a Cosmic account](http://app.cosmicjs.com/signup) to begin creating content in the dashboard and get your API access keys.\n* 🌐 [Check out the new website](http://www.cosmicjs.com/) and [documentation](https://www.cosmicjs.com/docs) to learn how to integrate Cosmic content into your website or app.\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/b2ca8224-cd3f-4134-8f48-3e298b0655d2)\n\nHello everyone! We are excited to announce Cosmic 2.0. This release is the result of two years of dedicated work by our team which we are proud to share with you.\n\n### What is Cosmic?\n\nCosmic is a headless CMS and API toolkit. We provide a web dashboard to create content, and API tools to deliver content to any website or app. Customers use Cosmic as their CMS to avoid the pain of building and maintaining their own CMS.\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/49876f0a-8982-42a4-8ec8-9e52277d9ea6)\n\n### 🛠️ What can you build with Cosmic?\n\nUse Cosmic to manage and deliver content to a number of applications such as company websites, mobile apps, ecommerce sites, blogs, and more.\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/40544c8b-a4c5-46be-80e2-b6481ba3baac)\n\n\n### What’s in Cosmic 2.0?\n\n**New dashboard:** Cosmic 2.0 includes a completely rebuilt web dashboard. We’ve redesigned the experience to be as enjoyable as possible. A view from [the dashboard](https://app.cosmicjs.com/signup):\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/bc1a8c39-66a7-49a0-8e0a-2a8e4bf7b861)\n\n**New API and API docs:** We’ve updated our API to v3 which includes a completely new [JavaScript SDK](https://www.npmjs.com/package/@cosmicjs/sdk) which makes fetching, adding, editing, and deleting content easier than ever. A view from [the API](https://www.cosmicjs.com/docs/api) [docs](https://www.cosmicjs.com/docs):\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/b90405b9-f3b9-4f2c-997a-de8780f3bc30)\n\n**Develop:** flexible and powerful content modeling. Build your content model with various field types such as text, rich text, markdown, image, video, audio, relationships, and more.\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/cf730736-e4d6-46ee-a441-1faed79d3cfe)\n\nUse Cosmic to store and deliver media for your applications including images, video, audio, documents and more. Image processing and optimization is included with all plans.\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/0ec208a9-8ddb-42b3-a118-02a468f26941)\n\n**Collaborate** with your team with flexible user access controls and permissions.\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/98bed501-943d-4d46-9b7b-9f5f9fe66e73)\n\n**Deliver** your content to the world with our built-in API and global CDN with points of presence all over the globe.\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/92f7a8e6-c9e2-4b7f-a69d-a30a34f34794)\n\n**Our customers**\\\nWe are proud to serve teams around the world. Content is universal, it is crucial for businesses to reach their customers, and they trust Cosmic to store and deliver their mission-critical content.\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/0345bd05-0a47-4b51-a5f2-f067c8d5226b)\n\n**Our team**\\\nWe are proud of our Cosmic 2.0 release and can’t wait to see what you build with it. We are just getting started!\n\n![uploaded image](/media/?type=post&id=71785&key=user_uploads/106867/99e5d621-d1db-440a-a4f9-47a7500084ad)\n\n**🚀 Sign up**\\\nSign up for Cosmic 2.0 at <https://app.cosmicjs.com/signup>. If you have any questions, or would like to talk to sales about custom plans and options, go to <https://www.cosmicjs.com/contact>.",
        "url": "https://www.ycombinator.com/launches/Ifp-cosmic-headless-cms-and-api-toolkit-v2-0",
        "votes": 12,
        "created_at": "2023-05-23T17:23:03.181Z"
      }
    ]
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    "id": 12282,
    "name": "Truora",
    "slug": "truora",
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    "website": "https://www.truora.com/",
    "all_locations": "Cali, Valle del Cauca, Colombia",
    "long_description": "Truora provides safe and reliable background checks and fraud prevention services for Latin America, through APIs and web service solutions. \r\n\r\nWe operate in 6 countries (Mexico, Colombia, Peru, Costa Rica, Brazil and Chile)  and are expanding rapidly. \r\n\r\nOur customers include Latam's top martketplaces (i.e. Didi, Rappi, Liftit), FinTech startups, large financial institutions and large HR firms as well. \r\nOur software allows for: background check verifications, continuous identity verification, digital identity solutions, OCR technologies and document authentication, KYC solutions and biometric validations. \r\n\r\nOur team is composed of 4 founders with expertise in the security and fraud prevention, as well as 60+ expert software engineers. We have offices across Latam, with our tech teams based in Colombia. \r\n",
    "one_liner": "Reliable background checks & fraud prevention tools for Latin America.",
    "team_size": 80,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1544068972,
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      "Fraud Prevention"
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    "nonprofit": false,
    "batch": "Winter 2019",
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      "Latin America",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/truora",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/truora.json",
    "year_founded": 2018,
    "city": "Cali",
    "country": "CO",
    "linkedin_url": "https://www.linkedin.com/company/33218719",
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    "fb_url": "https://www.facebook.com/laura.truora.7",
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    "github_url": "https://github.com/truora",
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        "full_name": "Daniel Bilbao",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/danielbilbao/",
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        "full_name": "David Cuadrado",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dcuadrado/",
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        "full_name": "Maite Muniz Telleria",
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        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maite-muniz-telleria-371079b4/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/56a99084364e7ad58496ca4f8e9da4a3f1bf6780.jpg"
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        "user_id": 301321,
        "full_name": "Cesar Pino",
        "title": "Founder",
        "founder_bio": null,
        "is_active": true,
        "linkedin_url": "https://co.linkedin.com/in/cepinos",
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    "news": [
      {
        "title": "VCs, unicorn founders back Truora, a startup that helps LatAm businesses onboard users via WhatsApp – TechCrunch",
        "url": "https://techcrunch.com/2022/04/08/vcs-unicorn-founders-pump-15m-into-truora-a-colombian-startup-that-helps-companies-onboard-users-via-whatsapp/?tpcc=tcplustwitter",
        "date": "Apr 08, 2022"
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    "id": 12283,
    "name": "OutRival, Inc.",
    "slug": "outrival-inc",
    "former_names": [
      "Career Karma",
      "Inc.",
      "Career Karma"
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    "website": "https://outrival.com/",
    "all_locations": "Miami, FL, USA",
    "long_description": "OutRival's AI Agents make outbound calls, send texts, and write emails for enterprises in education, insurance, and travel. We drive revenue through millions of proactive conversations monthly. Companies go live in under 2 weeks.",
    "one_liner": "Outbound AI Agents for Education, Insurance, and Travel",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1544068972,
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      "Travel",
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      "America / Canada"
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    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": true,
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    "url": "https://www.ycombinator.com/companies/outrival-inc",
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    "year_founded": 2018,
    "city": "Miami",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/outrivalai/",
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 234343,
        "full_name": "Ruben A. Harris",
        "title": "Founder/CEO",
        "founder_bio": "Ruben Harris is the Co-Founder and CEO of OutRival, an AI platform transforming Customer Experience with Conversational AI, starting with Admissions Teams in Higher Education. OutRival owns Career Karma, which has helped thousands of people navigate career transitions. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rubenharris/",
        "x_url": "https://twitter.com/rubenharris",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d93b13322204cc04718c3257611d82677abe43f1.jpg"
      },
      {
        "user_id": 231133,
        "full_name": "Timur Meyster",
        "title": "Founder",
        "founder_bio": "Timur is the Co-Founder and Chief Product Officer of OutRival, an AI platform transforming Customer Experience with Conversational AI, starting with Admissions Teams in Higher Education. OutRival owns Career Karma, which has helped thousands of people navigate career transitions.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/timurmeyster/",
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    "jobs": [],
    "news": [
      {
        "title": "Exclusive: AI company OutRival launches insurance vertical for carriers, MGAs and TPAs | The Insurer",
        "url": "https://www.theinsurer.com/ti/news/exclusive-ai-company-outrival-launches-insurance-vertical-for-carriers-mgas-and-2026-04-02/",
        "date": "Apr 02, 2026"
      },
      {
        "title": "Sergey's surprise visit was a hackathon highlight: Let's keep building Miami! - Refresh Miami",
        "url": "https://refreshmiami.com/news/sergeys-surprise-visit-was-a-hackathon-highlight-lets-keep-building-miami/",
        "date": "Mar 23, 2026"
      },
      {
        "title": "Climb Credit acquires Career Karma to shape the future of career training access - Refresh Miami",
        "url": "https://refreshmiami.com/news/climb-credit-acquires-career-karma-to-shape-the-future-of-career-training-access/",
        "date": "Sep 05, 2025"
      },
      {
        "title": "Climb Credit Acquires Career Karma Platform to Expand Access to Career Training Through Mission-Aligned Enrollment Support",
        "url": "https://www.prnewswire.com/news-releases/climb-credit-acquires-career-karma-platform-to-expand-access-to-career-training-through-mission-aligned-enrollment-support-302546658.html",
        "date": "Sep 03, 2025"
      },
      {
        "title": "Career Karma founders launch OutRival to help companies build AI agents | TechCrunch",
        "url": "https://techcrunch.com/2024/10/15/career-karma-founders-launch-outrival-to-help-companies-build-ai-agents/?guccounter=1",
        "date": "Oct 15, 2024"
      }
    ],
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      {
        "id": 103967,
        "title": "OutRival Presents - The New Normal",
        "tagline": "What Sounds Strange Today is Just Early",
        "body": "Happy Friday YC Family,\n\nToday, we launched The New Normal, our new bi-weekly video show featuring the enterprise leaders actually deploying AI in production at scale. This 51 second video features one of our first customers graduating over 90,000 learners per year:\n\nSizzle clip: <https://www.linkedin.com/feed/update/urn:li:activity:7475888904307605504/>\n\nAnd you can watch the full episode where he goes into detail about the use cases he has in production with us here:\n\nFull Episode 1 with Kermit Cook (CEO, Penn Foster): <https://youtu.be/r8ge3VbVFoA>\n\nBackstory:\n\nMy Co-Founder, Timur Meyster and I went through YC W19 building what became Career Karma, the largest career transition platform for people from non-traditional backgrounds breaking into tech. We made thousands of customer calls personally and managed third-party BPOs at scale. We learned the customer experience operating model from the inside.\n\nThe thing we kept seeing across our enterprise partners was the same. Customer experience teams stuck in reactive, inbound-first models. Tools that waited for the customer to raise a hand. And the customers who needed the most help were the ones least likely to do that on their own.\n\nWe pivoted to OutRival in 2024 to build the opposite. Over the last two years we have sat with more than 300 enterprise leaders across higher education, insurance, travel, and beyond, iterating alongside the operators running the work. Digital Workers that take the first move. That can run millions of outreach attempts a month across voice, text, and email, with the compliance posture a regulated enterprise needs. That can be onboarded into a team like a new hire.\n\nThe Show:\n\nThe New Normal is co-hosted by me, Timur, and our Head of Insurance John Henry. All three of us have built media at scale before. Timur and I previously hosted Breaking Into Startups, which reached more than 3 million people. John Henry previously hosted Hustle on VICELAND, executive produced by Alicia Keys and Marcus Samuelsson, which reached tens of millions. John is also a co-founder of Harlem Capital and Loop.\n\nThis time the centerpiece is our customers and the operators inside them actually deploying AI at scale.\n\nAs mentioned earlier, Episode 1 is with Kermit Cook (CEO, Penn Foster). Confirmed cohort going forward includes Presidents of WGU, Miami Dade, UMGC, SNHU, NU, and OU; CEOs of DeVry, Cengage, and Campus; plus senior leaders at University of Phoenix and UMass Global. More coming across insurance and travel.\n\n15 episodes scheduled. 7 already recorded. Bi-weekly cadence starts today.\n\nAsks:\n\n1\\. Operators for The New Normal show. We're recording 15-30 more episodes over the next 3-4 months across higher ed, insurance, and travel. If you know an executive operator at a Fortune 1000 company running real outbound AI deployments inside their org and generating revenue, send them my way.\n\n2\\. Please show love on LinkedIn ,YouTube, and Twitter (Here - <https://x.com/rubenharris/status/2070123138948399388?s=20>)\n\nThanks for reading. Hit me on Bookface or at [ruben@outrival.com](mailto:ruben@outrival.com).\n\nLove,\n\n<https://thenewnormal.fm/>\n\nRuben Harris\n\nCEO, OutRival\n\n![uploaded image](/media/?type=post&id=103967&key=user_uploads/234343/33929052-9c42-4d0a-a9d2-33485b25bd48)\n\n",
        "url": "https://www.ycombinator.com/launches/R2t-outrival-presents-the-new-normal",
        "votes": 4,
        "created_at": "2026-06-26T21:49:23.274Z"
      }
    ]
  },
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    "id": 12356,
    "name": "Memfault",
    "slug": "memfault",
    "former_names": [
      "Memfault",
      "Inc"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/69aff41aabfb54d70629bb4411a828953bd10011.png",
    "website": "https://memfault.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Memfault is the first IoT reliability platform that empowers teams to build more robust devices with software at scale. We believe that device reliability engineering will transform how developers build and operate IoT and edge devices with more productivity and more collaboration. As IoT applications continue to grow in complexity, it is more important than ever for developers to have Memfault’s performance monitoring, device debugging, and OTA update capabilities built into their fleet of devices for proactive device operations. We built Memfault to enable developers with a more scalable and sustainable process to accelerate go-to-market, de-risk product launches, cut product costs, and deliver overall superior products.",
    "one_liner": "First IoT reliability platform for debugging, monitoring, OTA updates",
    "team_size": 80,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1545442498,
    "tags": [
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      "SaaS",
      "IoT"
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    "batch": "Winter 2019",
    "status": "Acquired",
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    "url": "https://www.ycombinator.com/companies/memfault",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/memfault.json",
    "year_founded": 2018,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/memfault/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 1058,
        "full_name": "François Baldassari",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/francois-baldassari-63a8b91a/",
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      },
      {
        "user_id": 305559,
        "full_name": "Christopher Coleman",
        "title": "Founder",
        "founder_bio": null,
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christopher-coleman-812aa06b/",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d165926fe23d206c53dd0bee87b619587f71245d.jpg"
      },
      {
        "user_id": 305533,
        "full_name": "Tyler Hoffman",
        "title": "Founder",
        "founder_bio": null,
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tyhoff/",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08b5d0729cbb93f5e4c3a0644d7a85b2a72ccea6.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Memfault raises $24M to help companies manage their growing IoT device fleets • TechCrunch",
        "url": "https://techcrunch.com/2023/01/24/memfault-raises-24m-to-help-companies-manage-their-iot-devices/",
        "date": "Jan 24, 2023"
      },
      {
        "title": "Memfault Raises $8.5M To Level The Playing Field For Hardware Developers – Crunchbase News",
        "url": "https://news.crunchbase.com/news/memfault-raises-8-5m-to-level-the-playing-field-for-hardware-developers/",
        "date": "Jun 30, 2021"
      },
      {
        "title": "Monitoring, Debugging and Updating Nordic-Powered IoT Products Made Easy with Device Observability Platform Partnership | IoT For All",
        "url": "https://www.iotforall.com/press-releases/nordic-powered-iot-device-observability-platform",
        "date": "Jun 30, 2021"
      }
    ],
    "launches": []
  },
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      {
        "id": 84241,
        "title": "Social Apps Research by Kraftful",
        "tagline": "Learn what users want from app reviews of TikTok, X, Facebook, and other social apps.",
        "body": "**TL;DR:** Kraftful AI handles the tedious product work so that you can focus on strategy and product craft. Now, it also helps with [market research for social apps](http://www.kraftful.com/marketresearch/social-media).\n\n![uploaded image](/media/?type=post&id=84241&key=user_uploads/331211/1003a0bb-165b-4ba9-bca5-8368a7226b10)\n\n# Who has the bandwidth to read app store reviews?\n\nApp store reviews are full of insights about what users want from different products. But for product builders, sifting through thousands of reviews to prioritize features is nearly impossible.\n\nSince launching Kraftful’s AI-powered feedback analysis, our customers have been using it to quickly gather and learn from app reviews, including those of their competitors.\n\nTaking their feedback to heart, we’ve now made it even easier to get these valuable competitor insights directly through Kraftful.\n\n# Insights from hundreds of thousands of reviews\n\nToday, we’re excited to launch the second part of our market research: social media apps.\n\nKraftful has analyzed hundreds of thousands of app reviews to summarize:\n\n1. The most requested features in social apps.\n2. The most common complaints about the top social apps.\n3. What users care about most in a social app.\n\nYou can explore summaries for the entire social category or dive into specific apps like TikTok, X, Threads, Facebook, LinkedIn, and more.\n\n**Next up:** dating apps!\n\nWe initially focused on design tools and intended to survey various other B2B solutions. But after reading [Michael Seibel’s post](https://x.com/mwseibel/status/1835063692117103090) that this is the time for consumer products, we quickly pivoted to focus on the consumer market.\n\nBut we’d love to hear from you—what categories are you curious about, and what insights would be most helpful? (respond to a [Kraftful AI interview](https://klever.kraftful.com/surveys-public/marketresearch) 👍)",
        "url": "https://www.ycombinator.com/launches/Luj-social-apps-research-by-kraftful",
        "votes": 12,
        "created_at": "2024-09-23T21:31:32.951Z"
      },
      {
        "id": 84112,
        "title": "Market Research by Kraftful",
        "tagline": "Learn what users want from online reviews in a product category. ",
        "body": "**TL;DR:** Kraftful AI handles the tedious product work so that you can focus on strategy and product craft. Now, [it also helps with market research](https://www.kraftful.com/marketresearch/design).\n\n![uploaded image](/media/?type=post&id=84112&key=user_uploads/331211/d1f1ce12-47df-455d-88f8-269071aa5fd7)\n\n# Who has the time for market research?\n\nWhen building a product, the internet is packed with reviews about what users want. \n\nBut let’s be honest, who has time to find and sift through it all?\n\nSince launching Kraftful’s AI analysis for user feedback, many of our customers have used it to gather and analyze public reviews from competitors on app stores, G2, and Trustpilot.\n\nListening to our customers, we’ve made it even easier to get these insights directly from Kraftful.\n\n# Key insights from thousands of G2 reviews\n\nToday, we’re excited to launch the first part of our [market research](https://www.kraftful.com/marketresearch/design), starting with SaaS tools for **design**.\n\nKraftful has analyzed thousands of G2 reviews to summarize:\n\n1\\. The most requested features in design tools.\n\n2\\. The most common complaints about top design tools.\n\n3\\. What users care about most in a design tool.\n\nYou can explore summaries for the entire design tool category or dive into specific tools like Figma, Canva, and more.\n\n**Next up:** marketing tools! \n\nBut we’d love to hear from you—what categories are you curious about, and what insights would be most helpful? (respond to a [Kraftful AI interview](https://klever.kraftful.com/surveys-public/marketresearch) 👍)\n\n![uploaded image](/media/?type=post&id=84112&key=user_uploads/331211/941c595c-ab21-4625-b385-0f7841dd551d)\n\n",
        "url": "https://www.ycombinator.com/launches/Lse-market-research-by-kraftful",
        "votes": 19,
        "created_at": "2024-09-18T15:08:37.784Z"
      },
      {
        "id": 83412,
        "title": "Kraftful 3.0 — Build loved products ❤️",
        "tagline": "Use AI to listen to your users and integrate what you learn directly into your dev process.",
        "body": "**TL;DR:** Kraftful AI handles the tedious product work, so you can focus on strategy and product craft.\n\nTry it for free at [kraftful.com](http://kraftful.com).\n\n[Here’s a 3 min demo](https://youtu.be/0b5Xi1xb11A).\n\n**The Problem:**\n\nListening to users and acting on their feedback is tough.\n\nYC constantly reminds us to talk to users because it’s challenging.\n\nEven when you prioritize it, users often don’t have the time to tell you what they need.\n\nWhen they do, it’s scattered across different channels, making it hard to turn troubleshooting conversations into actionable “what should we build next” decisions.\n\nThe larger your company gets, the more disconnected you become from your users.\n\n**The Solution:**\n\nWhy do people love Kraftful?\n\nIn our recent Product Hunt launch, “love” was one of the most common words in the comments. Customers rave about Kraftful because it simplifies collecting valuable user insights and acting on them.\n\nHere’s how Kraftful works:\n\n1. **Have existing feedback?** Tell us the source, and we’ll collect, transform, and present it as feature requests and other actionable insights, making it easy to dig deeper or take action.\n2. **No feedback yet?** Kraftful generates surveys in 2 clicks or creates personalized interviews to complement your user calls.\n3. **Connect your Zoom or Google Meet calls** to get real-time insights.\n4. **Once you have insights:** Kraftful generates PRDs, projects, and user stories based on your user feedback and syncs directly with Linear or Jira. Or assign tickets directly in Kraftful.\n\nWhat used to take hundreds of hours now takes minutes.\n\nSimplicity is key. Unlike alternative solutions, Kraftful doesn’t overwhelm you with complex clustering, data labeling, or confusing UIs. We handle the complexity under the hood—extracting insights, grouping them, and eliminating LLM hallucinations. All you need to know is what your users need, and Kraftful delivers that in the simplest way possible.\n\nGive Kraftful a try and [share your thoughts](https://klever.kraftful.com/surveys-public/kraftful3yc) (respond to an AI interview 👍).",
        "url": "https://www.ycombinator.com/launches/LhM-kraftful-3-0-build-loved-products",
        "votes": 21,
        "created_at": "2024-08-26T17:40:36.715Z"
      },
      {
        "id": 80514,
        "title": "⭐️ Kraftful: AI-powered user interviews",
        "tagline": "An army of UX researchers to interview millions of users in minutes",
        "body": "**TLDR:** talk with millions of users simultaneously to build something people want.\n\nTry it for free on kraftful.com\n\nHere’s a 3 min demo: <https://youtu.be/BnbquZSz6v4>\n\n**Problem:** \n\nUsers hate long generic surveys, which leads to low response rates – sometimes just 5%😱 \n\nIf you have millions of users, this means you're not getting insights from a representative sample of your customer base. \n\nWorse still, if you're just starting out with only a few users, a low response rate can mean no responses at all 😞\n\n**Solution:** \n\nWith Kraftful, you can engage users or potential users with just 1-3 targeted questions instead of long, generic surveys.\n\nWhen they respond, they'll receive personalized follow-up questions tailored to their specific pain points—making the interaction more relevant and engaging.\n\nKraftful then summarizes all responses, delivering precise product insights from the collected data. \n\n**Why are Kraftful AI-powered interviews so great?**\n\n1. **They reveal insights that were previously out of reach:** Much like the information you'd get from an in-depth user conversation with the ability to ask follow-up questions. Plus, you can engage with many more users who can respond at their convenience and choose the depth of their engagement.\n2. **Massive time-saver:** Interview thousands or even millions of users simultaneously, with all responses summarized in minutes. This can save hundreds or thousands of hours, streamlining your research process dramatically.\n3. **Your own army of professional UX researchers:** Kraftful generates thoughtful questions based on the data you've already collected, eliminating the need to research best practices or spend time crafting questions.\n\nGive it a try and [let us know what you think](https://klever.kraftful.com/surveys-public/launchyc) (by responding to an AI interview👍) \n\n![uploaded image](/media/?type=post&id=80514&key=user_uploads/331211/30db3948-67ea-4d08-9a6c-f703ab1ee2a7)\n\n",
        "url": "https://www.ycombinator.com/launches/Kwc-kraftful-ai-powered-user-interviews",
        "votes": 275,
        "created_at": "2024-04-30T15:02:17.677Z"
      },
      {
        "id": 78451,
        "title": "Kraftful Surveys GPT - Generate surveys in ChatGPT and analyze responses with AI",
        "tagline": "Copilot serving 30K+ product teams.",
        "body": "Product research is now free, easy, and FAST with [Kraftful Surveys GPT](https://chat.openai.com/g/g-pPDqT7sZf-kraftful-surveys):\n\n* Instantly generate a free survey on any topic directly inside ChatGPT.\n* Send a link to your users or embed the survey on your website to collect feedback.\n* Kraftful analyzes all the survey responses to give you product insights and helps you create follow-up surveys for deeper insights.\n\nWhat used to take hundreds of hours can now be done in minutes. Creating and analyzing user surveys has never been faster. And Kraftful Surveys are FREE.\n\n![uploaded image](/media/?type=post&id=78451&key=user_uploads/331211/b4df9a14-9f9c-49dd-9ab1-8b4ad47163f4)\n\n**How Kraftful Surveys Work: AI-Powered Surveys and Analysis**\n\n**1\\. AI-Generated Surveys:**\\\nJust start Kraftful Surveys GPT inside ChatGPT, request a survey on your topic of choice, and voila! In minutes, you'll have a survey ready to send to users. Kraftful writes thoughtful questions on the topic and selects the optimal format for each question – be it text, multiple choice, or Likert scale. No more tedious survey prep.\n\nYou have the option to fine-tune the survey in Kraftful before distribution. Once your survey is ready, you can email it to your users or embed it directly on your website.\n\n![uploaded image](/media/?type=post&id=78451&key=user_uploads/331211/49f3e48e-63e4-4bcd-a506-a2bdbd92ccf3)\n\n**2\\. AI Analysis of Survey Responses:**\\\nThe real magic of Kraftful? All survey responses are automatically analyzed in Kraftful, highlighting top product insights.\n\n![uploaded image](/media/?type=post&id=78451&key=user_uploads/331211/2d56734f-0056-4529-b226-7a9b18cdb20e)\n\n**3\\. AI-Generated Follow-Up Survey:**\\\nOnce you have user feedback in Kraftful, either from your survey or by syncing any of the 30+ supported feedback sources, you can use that past feedback to generate a free follow-up survey that digs deeper.\n\nKraftful studies your user interview notes, app reviews, support tickets, or whatever past feedback you import. It then writes thoughtful questions that go beyond the insights you’ve already gathered.\n\nYou can also manually write your survey or use our NPS survey template to take advantage of instant Kraftful summaries of the survey responses. Kraftful Surveys are always free, so you have no reason to continue paying for your expensive survey platform and also waste your time writing questions.\n\n**Why We Built This**\\\nIn my experience as a product leader at various tech companies, gathering user feedback from app reviews, support tickets, call transcripts, and other sources was always a struggle. The real gold lay in surveys, dense with product insights due to their targeted nature.\n\nHowever, setting up effective surveys and analyzing their responses is incredibly time-consuming. As a result, surveys are done rarely. Teams try to squeeze in as many questions as possible, leading to low response rates and less representative feedback.\n\nKraftful Surveys addresses this issue by leveraging past feedback to generate focused survey questions, enabling:\n\n* More frequent surveys\n* Shorter, more engaging surveys for users\n\nEach survey builds upon insights from the previous one to faster learn what users need.\n\n**How to Get Started with Kraftful Surveys**\\\nGet started with [Kraftful Surveys GPT](https://chat.openai.com/g/g-pPDqT7sZf-kraftful-surveys) in ChatGPT today and streamline your user feedback process. We'd love to hear your feedback!",
        "url": "https://www.ycombinator.com/launches/KPL-kraftful-surveys-gpt-generate-surveys-in-chatgpt-and-analyze-responses-with-ai",
        "votes": 17,
        "created_at": "2024-02-15T16:00:21.363Z"
      },
      {
        "id": 77763,
        "title": "Kraftful Surveys - Generate product surveys and analyze responses with AI",
        "tagline": "Copilot serving 30K+ product teams.",
        "body": "# TLDR\n\nToday we’re changing the game in product research with [Kraftful Surveys:](https://www.kraftful.com/)\n\n1. Instantly generate a survey based on past user feedback or a new topic you want to explore.\n2. Kraftful analyzes all the survey responses to give you product insights like top feature requests, complaints, and loved features.\n3. For interesting feature requests, you can select to have Kraftful turn them into user stories with acceptance criteria and automatically sync to Jira tickets.\n\nWhat used to take hundreds of hours, can now be done in minutes. It’s never been faster to survey hundreds or thousands of users.\n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/fff8749a-f2bb-4681-b61b-3ea3f6184537)\n\n# Why we built this\n\nIn my experience as a product leader at various tech companies, gathering user feedback from app reviews, support tickets, call transcripts, and other sources was always a struggle. The real gold lay in surveys, dense with product insights due to their targeted nature.\n\nHowever, setting up effective surveys and analyzing their responses is incredibly time-consuming. As a result, surveys are done rarely. Teams try to squeeze in as many questions as possible, leading to low response rates and less representative feedback. \n\nKraftful Surveys addresses this issue by leveraging past feedback to generate focused survey questions, enabling:\n\n* More frequent surveys\n* Shorter, more engaging surveys for users\n* Each survey builds upon insights from the previous one to faster learn what users need\n\n# How it works: AI AI AI\n\n### 1\\. AI generated surveys:\n\nKraftful studies your user interview notes, app reviews, support tickets, or whatever past feedback you import and writes thoughtful questions that go beyond the insights you’ve already gathered. It also selects the optimal format for each question – be it text, multiple choice, or Likert scale. No more tedious survey prep.\n\nIf you want to gather input on a new topic, you can just enter your survey topic and watch Kraftful Surveys turn it into thoughtful questions in a few seconds. Once your survey is ready, you can email it to your users or embed it directly on your website. \n\nIf you want, you can edit the AI-generated questions, change the for mat, move questions around, and anything you’d normally do with a survey tool (but without paying for an additional survey tool). Prefer the old-fashioned way? You can also manually write your survey or use our NPS survey template to take advantage of instant Kraftful summaries of the survey responses.\n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/51f8abff-ba74-4ede-8a4d-099ccf2d567b)\n\n### 2\\. AI analysis of survey responses:\n\nThe real magic of Kraftful? All survey responses are automatically summarized in Kraftful, highlighting top feature requests, complaints, and loved features. Beyond our auto-generated product topics, you can dive deeper into the survey data with our chat, or review raw responses for more context. No more weekends spent sifting through hundreds of survey responses looking for the nuggets. \n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/a988f656-6903-4f9b-82b8-9e01e31ba8c5)\n\n### 3\\. AI-generated user stories synced to Jira:\n\nWhen you spot interesting feature requests or complaints on the automatically generated lists, Kraftful can turn them into user stories with acceptance criteria and instantly sync the user stories to Jira so your team can start working on them. \n\nIn other words, you make the strategic decisions based on the user insights Kraftful brings you. And then Kraftful does the leg work to integrate those decisions into your backlog so your team can get to work. \n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/bb7f2f44-af5d-4230-a3d3-869d164925fc)\n\n# How to get started with Kraftful Surveys\n\nGet started with our [free plan at](https://www.kraftful.com/) [kraftful.com](http://kraftful.com) and ditch your expensive survey tool. Let me know what you think!",
        "url": "https://www.ycombinator.com/launches/KEF-kraftful-surveys-generate-product-surveys-and-analyze-responses-with-ai",
        "votes": 20,
        "created_at": "2024-01-23T15:03:48.510Z"
      },
      {
        "id": 74519,
        "title": "Kraftful – Copilot for product builders",
        "tagline": "Listen to millions in minutes.",
        "body": "### **TLDR**\n\nAt the heart of every great product is the user. Kraftful Copilot makes ✨magic✨ happen – empowering product builders to listen to millions of users in just minutes and seamlessly integrate that feedback into their work.\n\nWould love for you to try it out ([free](https://www.kraftful.com/)!) and provide feedback.\n\nhttps://www.youtube.com/watch?v=bxBrpvdVWM8\n\n### **Problem**\n\nLeading product teams before I started Kraftful, one of my biggest challenges was to figure out how my teams would effectively gather insights from user interviews, app store reviews, support tickets, sales calls, and really anywhere else users wanted to give us an earful 😆\n\nBeyond the struggle of manually collecting and parsing through volumes of feedback, it’s impossible to quickly learn how frequently issues come up from different user groups and incorporate the learnings in the product development process.\n\n### **Solution**\n\nWe launched an MVP earlier this year in beta and got many millions of users from Google, Microsoft, Meta, Netflix, Canva, Dropbox, Atlassian, LinkedIn, Oracle, and many many more 🔥\n\nKraftful users built comprehensive feedback repositories on [kraftful.com](http://kraftful.com), analyzing over 13M pieces of user feedback. Kraftful Copilot saved them a whopping 100,000 hours of manual digging around in interviews, app reviews, support tickets, and other digital nooks and crannies.\n\nNow we're thrilled to unveil a more comprehensive solution, allowing you to:\n\n✅ Connect feedback from app stores, Zendesk, Intercom, and 30+ other sources \\\n👀 Explore actionable summaries of user feedback\n\n💌 Receive weekly insights in your mailbox and share with your team in Slack\n\n🤖 Automatically sync new feedback for daily, weekly, and monthly summaries so that nothing slips through the cracks\n\n💡 Uncover deeper insights through follow-up conversation with Kraftful Copilot\n\n📝 Whip up AI-written user stories with acceptance criteria and instantly sync them to Jira or post to Linear, Trello, or wherever you track your dev work\n\n\\\nGive it a try at [kraftful.com](http://kraftful.com) and let us know what you think at [feedback@kraftful.com](mailto:feedback@kraftful.com) ✨",
        "url": "https://www.ycombinator.com/launches/JNv-kraftful-copilot-for-product-builders",
        "votes": 31,
        "created_at": "2023-08-30T19:35:40.393Z"
      },
      {
        "id": 71519,
        "title": "Kraftful Plugin for ChatGPT - Your on-demand product coach",
        "tagline": "Kraftful is building a co-pilot for product builders, capable of summarizing large volumes of user feedback in mere seconds. Now, you can directly access our product coach within ChatGPT.",
        "body": "## TLDR 👀\n\nKraftful Plugin is now live in the ChatGPT plugin store!\n\nAsk questions about product management best practices and get insightful answers summarizing thinking from all the top product gurus! It’s like having your own product coach, but available 24/7 inside ChatGPT.\n\n![uploaded image](/media/?type=post&id=71519&key=user_uploads/331211/38bef5b7-5e15-403a-b7bf-7633c52f8278)\n\n## Problem 🔍\n\nDrowning in a sea of PM best practices online? The internet can be a noisy place for product builders.\n\nChatGPT is excellent at weeding through online content. But it currently doesn’t include blog posts and other product musings created after 2021. And let’s be honest, not all internet sources are created equal when it comes to getting product advice. \n\n## Solution 🎉\n\nKraftful plugin to the rescue! We’re excited to be one of the first few plugins to officially launch in the ChatGPT plugin store.\n\nThe Kraftful plugin gathers insights from a large list of reputable product resources and supercharges them with ChatGPT for quick, concise info!\n\nAt [Kraftful](https://www.kraftful.com/), we have a large community of product people, who have been recommending their go-to sources on various product dev questions ([some](https://www.kraftful.com/blogs/top-40-podcasts-for-product-builders) [examples](https://www.kraftful.com/blogs/100-must-read-books-for-product-managers-in-2023)). We’re now harnessing the power of GenerativeAI to bring it all together. \n\n## Try it out 🦾\n\nIf you have access to ChatGPT plugins, please try it out [in ChatGPT](https://chat.openai.com/) and let us know what you think. \n\nPlugin access is still being rolled out to ChatGPT users. So if you're still waiting for access, you can try out the Kraftful plugin by asking a PM best practices question [in this thread](https://twitter.com/yanatweets/status/1655584706685984773?s=20) & I'll share the plugin response with you there.",
        "url": "https://www.ycombinator.com/launches/IbX-kraftful-plugin-for-chatgpt-your-on-demand-product-coach",
        "votes": 25,
        "created_at": "2023-05-11T14:41:43.906Z"
      },
      {
        "id": 69687,
        "title": "Kraftful – ChatGPT for product research",
        "tagline": "Helping product builders to listen to users at scale",
        "body": "**TLDR**\\\nHaving led product teams at companies big and teensy, I’m excited to share a solution to involve masses of users directly in the development process to build products people love 🥰\n\nWould love for you to try it out ([free trial](https://www.kraftful.com/)) and provide feedback.\n\n![uploaded image](/media/?type=post&id=69687&key=user_uploads/331211/b2936511-7594-4003-8f64-3cbe849f5198)\n\n### **Problem**\n\nBeing a product lead before starting Kraftful, one of my teams’ biggest challenges was to manually gather insights from user interviews, app store reviews, support tickets, sales calls, and really anywhere else our millions of users wanted to give us an earful 😅\n\nEven with thousands of users, it can take hundreds of hours to try to parse through everything. It’s impossible to quickly act on all this data. Just like \\*NSYNC, users who don't feel heard end up saying \"bye bye bye” 💔💔\n\n### **Solution**\n\nNow imagine if you had the tools to effectively listen to users and make them feel heard – that would advance product development AND user satisfaction because they’d be actively engaged in the development process. \n\nWith Kraftful, you can: \n\n✅ Connect a source (e.g. iOS/Android app store reviews, Zendesk, Intercom, Front) or paste user interview notes, call transcripts, or other relevant text\n\n👀 Check out the instant summaries of frequent feature requests, common complaints, most loved app features, and lists of mentioned competitors\n\n💡 Ask follow-up questions with our ChatGPT-like assistant to uncover insights like “what do users say about X feature” or “how do users currently complete this task”\n\n💪 Use these insights to build or refine your product roadmap\n\nThis is not your mother’s AI summarization tool 😅 We’re building a solution for product teams to help them connect with users in new ways. Today’s launch is the first step toward that vision.\n\n### **Sign up for a free trial**\n\n[Give it a try!](https://www.kraftful.com/) User feedback is our jam, so let us know what you think at [feedback@kraftful.com](mailto:feedback@kraftful.com)✨\n\nWhile we’re launching in Beta, we’ve seen incredible demand for our solution. The product in Alpha has already been used by thousands of product builders from companies like Google, Microsoft, Meta, Netflix, Canva, Dropbox, Atlassian, LinkedIn, Oracle, Kayak, Volvo, Johnson & Johnson, the National Art Gallery, London Underground, 7-Eleven, and many others 🔥🔥🔥",
        "url": "https://www.ycombinator.com/launches/I7z-kraftful-chatgpt-for-product-research",
        "votes": 32,
        "created_at": "2023-02-27T04:00:12.496Z"
      }
    ]
  },
  {
    "id": 12553,
    "name": "Well Principled",
    "slug": "well-principled",
    "former_names": [
      "Well Principled",
      "BODYSIM by Well Principled"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c59ac5aca8c4a74c69ab15c408544b91f24e98e.png",
    "website": "https://wellprincipled.com",
    "all_locations": "St. Louis, MO, USA",
    "long_description": "We aren’t building AI to replace \"knowledge work” that requires neither, but to bolster the working human intellect which has never failed to discover new paths to prosperity.\r\n\r\nFor all their success, mainstream approaches to AI have fundamental limitations preventing them from solving critical classes of problems. We are building a new AI architecture from first principles to break from these limitations.\r\n\r\nThe status quo has ossified around the supervised, brute-force pretraining paradigm. These systems do not, and cannot, handle the essential skills of continual learning, goal discovery, novel planning, and the creation of new knowledge.\r\n\r\nThese limitations are not trivial. Our national prosperity depends directly on overcoming these limitations, because the essential skills underlie the skilled trades. From electricians to machinists to nurses, apprentice tradespeople in all of these fields learn “skilled improvisation” where every solution is novel, and even the goal must be discovered. Prosperity demands the precise capabilities where status quo AI is structurally weak.\r\n\r\nWorse, these limitations will not be overcome with more compute or training data. They are inescapable consequences of the underlying technologies of supervised learning, neural networks, transformers, backprop, and gradient descent. Progress requires independence from them.\r\n\r\nWe are building a new AI architecture by reverse-engineering the system that got us this far: the human brain. By triangulating between neuroscience, cognitive science, and the evolutionary elaboration of brains, we have identified the brain’s algorithms to (a) continually learn a causal world model (b) select goals to both achieve and learn to achieve more (c) plan to reach novel goals, and (d) creatively produce new knowledge.\r\n\r\n\r\nJoin us in building intelligence with ingenuity to bolster the skilled trades.\r\n\r\n",
    "one_liner": "The neural engine for autonomous robots",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1556081533,
    "tags": [
      "Hard Tech",
      "Neurotechnology",
      "Robotics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2019",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/well-principled",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/well-principled.json",
    "year_founded": 2018,
    "city": "St. Louis",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/well-principled",
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        "answer": "It’s often said, but it bears repeating - although the batch itself was an incredibly valuable experience, we’ve benefited far more from the value that’s created across the YC community itself. This community has led to an incredible number of introductions and relationships with partners, customers, investors, and friends - it’s truly endless and we’ll forever be grateful to participate as a small piece of this growing network. It’s also important to note that the advise doesn’t end when the batch does, and we could never have navigated the COVID-19 pandemic the way we were able to if it weren’t for the advice of our partners throughout. Gustaf, Aaron and Dalton were responsive, informative, and ultimately supportive of the decisions that we made throughout that process, and to this day continue to be trusted partners and friends."
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        "answer": "Where large chain brands value structure and speed, the modern local café has historically placed a premium on the human experience. Although a noble pursuit, the value of slowing us down to enjoy a beautiful latte and an easy conversation has concurrently slowed the pace of operators, with small businesses more often employing analog solutions for the big problems they face. As the world around them continues to evolve, local cafés have slipped further into the crevasse. Behemoths have expanded their footprints across the globe, each new store front strategically placed to snuff out the local cafés' existence from Main Street. This is largely a result of evolving national competition that rapidly develops and tests new technology at scale, while independent brands are victims of the available mass market, where technology has yet to evolve past various iterations of the point-of-sale system out front."
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        "full_name": "Jaclyn Ling",
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        "title": "Hatchways - Making engineering interviewing look more like real work",
        "tagline": "Easily customize GitHub-based technical assessments, where candidates can complete tasks like reviewing code, submitting a pull request, or improving a system’s design.",
        "body": "**TL;DR:** Easily customize GitHub-based technical assessments, where candidates can complete tasks like reviewing code, submitting a pull request, or improving a system’s design. Hatchways helps you build a state-of-the-art practical interview process that is customized to your role while saving you engineering interview load along the way.\n\n# 👋 The Origin Story\n\nI've shared my personal struggle with traditional interviews on [HackerNews](https://news.ycombinator.com/item?id=20578850) and how I’ve never been great at \"performing\" on the spot.\n\nThis summarizes well what our mission has always been: _“Mainstream hiring processes are biased towards those who went to great schools, had high GPAs, are native-English speaking, have worked at brand name companies, are extroverts and great networkers, etc. But there are so many talented people who don't fit that profile. We're excited to work on ways of hiring that give them a better chance.”_\n\nOver time, we realized the challenge in solving this issue lies in the fact that companies lack incentives to improve their processes unless it saves them money or time.\n\nThus, Hatchways is on a mission to make talent discovery efficient yet fair. By streamlining skill evaluations, we help companies save time while hiring top talent with the right skills for the job, rather than focusing on pedigree, connections, or interview prowess.\n\n# 🤔**The Problem: Inefficient Interviewing**\n\nMany companies struggle with inefficient interviewing— spending too much time while not getting quality signal.\n\nAlthough creating a unique process is time-consuming, mimicking FAANG approaches, which most companies do, leads to inaccurate signal, a lot of wasted engineering hours, and increased competition for the same talent pool.\n\n# 💡**The Solution: Design a Purposeful Interview Experience**\n\nHatchways enables you to develop an effective interview process, ensuring accurate signal capture, time savings for engineers, and a positive candidate experience.\n\n![uploaded image](/media/?type=post&id=71240&key=user_uploads/321746/b44f8b5f-fbf0-4990-a37e-67afc3768fc5)\n\n# 🦄 **How it works:**\n\n* **Adopt Best Practices from Leading Tech Companies, and Tailor to your Needs:** We've distilled best practices from tech leaders at Dropbox, Plaid, and Airtable (e.g., crafting rubrics, enhancing candidate experience, setting pass-through rates) and can easily customize them for your company, role, and specific hiring needs.\n* **Custom Rubrics and Tailored Interview Questions:** Most companies introduce interviewing rubrics too late. This leads to standardization and bias issues, resulting in inconsistent hiring outcomes. We assist in identifying crucial skills and transforming them into a grading rubric to shape the perfect interview question.\n* **Streamline Grading and Optimize Calibration Effortlessly:** With Hatchways, use our automation features to build test cases or utilize our human-assisted reviewers to reduce your engineering review load. Drawing from the best practices of leading technical teams, we establish a starting benchmark and optimize your on-site pass-through rates over time.\n\n![uploaded image](/media/?type=post&id=71240&key=user_uploads/321746/d2286ba9-dc3f-4647-b835-7b4faf858137)\n\n### **Use Cases**\n\nWhat companies use Hatchways for:\n\n* pre-screen technical assessment (i.e. resume replacement)\n* technical phone-screen step (i.e. 60-90 minute live coding replacement)\n* university/intern recruiting (i.e. high-volume vetting)\n\nWho is this for?\n\n* Companies scaling engineering hiring who are aiming to reduce interviewer load\n* Companies aiming to introduce greater standardization in their interview process\n\n# **Asks**\n\n* If you’re an engineer who wants to see companies adopt more effective and fair interviewing practices - share this with them\n* For companies aiming to streamline their interview process while ensuring a fair and enjoyable candidate experience, sign up on our platform [here](https://www.hatchways.io/?utm_source=ycombinator&utm_medium=web&utm_campaign=launch_yc) or reach out directly to me to learn more: [jaclyn@hatchways.io](mailto:jaclyn@hatchways.io)",
        "url": "https://www.ycombinator.com/launches/IX2-hatchways-making-engineering-interviewing-look-more-like-real-work",
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    "id": 12661,
    "name": "Rutter",
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    "long_description": "Rutter is the unified API infrastructure powering the next generation of B2B fintech. We help tech-forward companies build seamlessly integrated financial products by connecting to their customers' systems of record, from accounting platforms to e-commerce systems.\r\n\r\nThe financial operations landscape is fragmented across hundreds of platforms (QuickBooks, NetSuite, Shopify, Stripe, etc.). Without Rutter, companies must spend thousands of engineering hours building and maintaining these critical integrations.\r\n\r\nOur Universal API provides the same level of granularity as direct integrations while using a single, consistent schema. This enables our customers to build end-to-end workflows for financial planning, lending, expense management, AP/AR automation, and more, in days, not months.\r\n\r\nLeading fintechs like Mercury, Airwallex, and Orb trust Rutter to power their integrated financial solutions.\r\n\r\nLearn more: https://www.rutter.com/",
    "one_liner": "The Unified API for Business Financial Data",
    "team_size": 24,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1556764173,
    "tags": [
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    "year_founded": 2021,
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        "full_name": "Eric Yu",
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        "full_name": "Peter Zhou",
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        "title": "Senior Software Engineer (Backend)",
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        "date": "Mar 15, 2022"
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        "url": "https://techcrunch.com/2021/08/20/rutter-comes-out-of-stealth-with-1-5m-in-funding-for-its-e-commerce-api/",
        "date": "Aug 20, 2021"
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    "name": "PlayAbly",
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    "long_description": "PlayAbly turns ignored touchpoints into mini-games that capture attention, drive action, and generate real-time first-party data—across eCommerce, B2B funnels, restaurants, and in-store retail. As attention spans shrink to six seconds, brands can't afford lifeless popups, forms, or landing pages. We replace them with gamified conversion layers—quizzes, swipe games, stackers—that perform like performance marketing.\r\n\r\nAt Unity, our founding team helped personalize gameplay and ads for over 2 billion users. Now, we're bringing that behavioral insight to brand engagement, building a no-code platform where anyone can launch PlayAbly experiences in minutes. Think: instead of a \"Spin to Win,\" a match-3 game that sells your product, segments your audience, and gets 4× the opt-ins.\r\n\r\nWhy now? Retargeting costs are up. Email/SMS open rates are down. And today’s customers are conditioned by the dopamine loops of TikTok and mobile games. Generic funnels can’t compete—but interactive ones can.\r\n\r\nPlayAbly is already driving results:\r\n\r\nClasskick (B2B): 5× ROI, 3× higher email open rates\r\n\r\nSkout Snacks (DTC): 7× ROI, 20% higher AOV, 4× opt-in rates\r\n\r\n89% of previously lost sessions re-engaged through PlayAbly games\r\n\r\nWe monetize on a usage + performance model, enabling fast adoption and deep long-term value. We're building a new category: AI-powered gamification that converts attention into intent, on any surface where customers meet brands.\r\n\r\nhttps://www.playably.ai",
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    "status": "Inactive",
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        "answer": "We started PlayAbly because we saw the problem from the inside.John and Angelo met while working at **Unity Technologies**, where we helped scale ads and gameplay personalization to billions of users across mobile games. We saw firsthand how **interactive experiences and behavioral data could drive attention, trust, and action**—all in under six seconds.But outside of games? That magic was missing. We watched friends in **eCommerce and B2B** spend heavily on ads, only to lose users to static websites, generic forms, and boring popups. Every marketing funnel looked the same—and underperformed.We asked: _What if we brought the mechanics of play to commerce, sales, and brand storytelling?_So we built PlayAbly: a gamified engagement layer that turns any passive touchpoint—landing page, QR code, email popup—into a fun, branded, data-rich experience. We didn’t just want to optimize clickthroughs; we wanted to **make customer interaction feel like something people actually wanted to do**.We chose to be founders because we couldn’t unsee the gap—and we knew we had the technical and behavioral playbook to fill it."
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "**The Problem:**\\Brands spend billions to drive traffic—but lose most of it in the first 6 seconds. Today’s customer experience is passive, generic, and forgettable. Popups are ignored. Forms are abandoned. Retargeting is expensive. And brands don’t know _why_ visitors bounce or _who_ they really are.**Why it matters:**\\Whether it’s eCommerce, B2B, or in-store, **the attention funnel is broken**. Customers are trained by TikTok and games to expect interactivity and dopamine—yet most brand experiences still feel like static brochures. This leads to poor conversion rates, bloated CAC, weak data, and missed revenue. In a post-cookie world, brands need ways to engage and personalize without relying on surveillance or guesswork.**Why we’re working on it:**\\At Unity, we personalized gameplay for 2B+ users. We saw how **interactivity + real-time data** could drive deep engagement and monetization in milliseconds. But when we looked outside of gaming—at Shopify sites, SaaS landing pages, QR flows in restaurants—it was clear: brands had _no tools_ to make those touchpoints dynamic, fun, or behavior-aware.We built PlayAbly to fix that. Because **capturing attention shouldn’t feel like a chore**—and because we believe brand experiences should be just as interactive and addictive as the games people play every day."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our long-term vision is to replace passive brand touchpoints with **a new standard for interactive, personalized engagement—powered by play.**If we truly succeed, **every ad, popup, QR code, and landing page will become a game—one that captures attention, reveals intent, and feels native to the brand.** Just like TikTok rewired content discovery, PlayAbly will rewire how people experience commerce, lead funnels, and brand storytelling.But that’s just the start. As our experiences spread across eCommerce, B2B, retail, and hospitality, we’re building the foundation for a **first-party engagement network**—a permission-based, gamified layer where brands can acquire, qualify, and retain customers through interactive journeys, not invasive ads.Instead of renting attention from Meta or Google, brands will use PlayAbly to **own the moment of interaction**, gather usable zero-party data, and re-market through personalized games and offers that people actually want to play. And instead of interruptive ads, our long-term vision is to launch a **PlayAbly Ad Network**, where top-performing game experiences can be distributed across partner sites, apps, and displays—with performance economics and behavioral data baked in from the start.Imagine:* A DTC brand acquiring new customers not through banner ads, but through a mini-game embedded in a partner brand’s checkout page.* A restaurant upselling via a playful quiz shown on smart menus or receipts.* A SaaS company qualifying leads with an interactive diagnostic game built into someone else's onboarding flow.**We’re building the infrastructure for the gamified internet—where every touchpoint is playable, personal, and performant.**That’s the world we want to live in. And that’s the world PlayAbly will help create."
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        "title": "PlayAbly - the confluence of shopping and entertainment",
        "tagline": "Introducing PlayAbly – Your customer engagement sucks. Try this instead.",
        "body": "Hey YC 👋 We’re John and Angelo — former Unity Technologies ads, analytics, and data leads — and we’re building **PlayAbly**: the AI-powered gamification layer that turns website traffic into high-intent, high-converting journeys. The confluence of shopping and entertainment.  \n\n🧠 At Unity, we personalized gameplay for 2B+ users across thousands of titles. Now we’re bringing that same behavioral insight to B2B brands and ecommerce — where most sites still feel too generic, not an engaging experience\n\n🎯 We saw it firsthand: brands burning cash on top-of-funnel, only to leak it through lifeless landing pages, collection pages, and generic lead forms. So we built PlayAbly — a conversion layer that feels like fun but performs like performance marketing.\n\n🌍 Used by both B2B and DTC:\n\n* **Classkick (B2B tool for teachers)**: to qualify and convert education leads via smart quiz games.\n* **Skout (DTC Kid’s Snacks)**: to increase AOV and conversion rates with fun product discovery\n\n🧨 TL;DR: Replace \"Spin to Win\" with a game your online customer _actually_ wants to play.\n\n---\n\n### **❌ The Problem**\n\nBrands spend on Meta, TikTok, SEO — but don’t _retain_ attention once shoppers land. Today’s customers ignore pop-ups, abandon forms, and bounce from even the best-looking sites. Why?\n\nBecause passive web experiences can’t compete with the dopamine drip of social and mobile gaming. And standard segmentation flows — quizzes, email captures — are too slow, too boring, or too static to convert attention into action.\n\nRetargeting is expensive, email/SMS open rates are tanking, and most stores don’t know who their customers really are.\n\n🕳️ Most marketing funnels are:\n\n* Bland → no interaction, no retention\n* Blind → poor data on why visitors bounce\n* Bloated → costly retargeting with low ROAS\n\n### **✅ Our Solution**\n\n**PlayAbly** creates opportunities for engagement —online, in-store, and everywhere in between.\n\nWe help brands turn passive moments into active engagement—whether that’s on a website, at a retail display, with a QR code at a restaurant, or in a B2B lead funnel. From quizzes to mini-games, our interactive layers boost attention, capture data, and drive action—bridging consumption and entertainment to make every brand moment more memorable and more effective.\n\n**Playable funnels**: Games that _feel native to your brand_ and drive:\n\n* 📈 Higher engagement\n* 💬 Useable first-party data\n* 💸 Measurable revenue lift - conversions up to 3x, 2x more email/SMS opt-ins than the leading popup, recover 89% of lost engagement\n\n🎯 How it works:\n\n* Choose from our library of high-performing game templates (e.g. match-3, swipe, scratch, stack)\n* Customize it to your brand’s look, products, and tone\n* Integrate via Shopify, Klaviyo, Hubspot, or embed directly\n* Launch in minutes — no dev required\n* OR - if you’re looking for a more custom game, let us know what you’re looking for\n\n🧠 Behind the scenes: AI + behavioral data personalize the game, questions, and post-game flow based on real-time signals.\n\n---\n\n### **🚀 Why It Works**\n\nOur games don’t just entertain — they segment, educate, and convert:\n\n* **DTC: Skout Results: 7X ROI, 4X Email Opt-ins, 20% Higher AOV** \n\n  ![uploaded image](/media/?type=post&id=91780&key=user_uploads/330167/3f68a566-f189-489f-b637-08595f1985f3)\n\n* **B2B: Classkick Results: 5X ROI, 3X Email Open Rates** \n\n  ![uploaded image](/media/?type=post&id=91780&key=user_uploads/330167/570759ec-4110-4bd6-bc39-ad002047c964)\n\n\nRetention’s better too: PlayAbly games collect data that actually gets used — building better lists, sequences, and personalization downstream.\n\n---\n\n### **💡 Why We Built It**\n\nAt Unity, we pioneered user-level personalization through gameplay — optimizing ads and UX with real-time behavioral signals. We saw firsthand how play builds trust, surfaces intent, and creates emotional stickiness.\n\nWe asked: what if B2B sales and ecommerce wasn’t just functional, but _fun_?\n\nSo we built PlayAbly:\n\n* To help brands personalize authentically — not creepily\n* To make every site visit feel like a VIP concierge interaction\n* To let brands build relationships, not just retargeting funnels\n\nWe believe AI should act like the best in-store rep: observant, empathetic, memorable — not a template engine.\n\n---\n\n### **🕹️ Want to Try?**\n\nWe’re working with DTC and B2B brands who want:\n\n* Better conversion/retention without more ad spend\n* Higher-quality customer data, captured playfully\n* Personalization built around _actual_ shopper behavior\n\n🕹️ Try a PlayAbly game: \n\n* [Skout Cookie Rush](https://playably-game-uploads.s3.us-east-1.amazonaws.com/uploads/1747846715251/game/index.html)\n* [Replacements Matching Game](https://playably-game-uploads.s3.us-east-1.amazonaws.com/uploads/1745836341267/game/index.html)\n* [Playfield Dog Days of Winter Advent Calendar](https://advent-calendar.ourplayfield.com/)\n* [PlayAbly Spinner Hunt](https://playably-game-uploads.s3.us-east-1.amazonaws.com/uploads/1746022904086/game/index.html)\n* [Harmony 783](https://playably-game-uploads.s3.us-east-1.amazonaws.com/uploads/1747054636675/game/index.html)\n\n\\\n[Book a Demo ](https://calendly.com/john-baotris/playably-demo-kf?)\n\n**Offer: Mention YC and get 20% off your first game** \n\nWhether you're selling skincare, classrooms, or courseware — let’s make it fun, data-rich, and wildly effective.\n\n#ai #ecommerce #gamification #dtc #b2b #retention #personalization #zero_party_data",
        "url": "https://www.ycombinator.com/launches/NsK-playably-the-confluence-of-shopping-and-entertainment",
        "votes": 5,
        "created_at": "2025-07-02T15:10:48.916Z"
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        "full_name": "Agree Ahmed",
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      {
        "id": 96121,
        "title": "Flowglad: the Open Source, Zero Webhooks Payments Provider",
        "tagline": "Payments you can integrate with just copy, paste, enter",
        "body": "![uploaded image](/media/?type=post&id=96121&key=user_uploads/272109/b208b526-0dbf-4690-bd7b-416bc0c20ae2)\n\n**Flowglad** is an open source payments provider that requires **zero webhooks**.\n\nIt’s designed so that your AI can **one shot payments with just copy, paste, enter** for virtually any pricing model.\n\nhttps://youtu.be/sZkv1niV-Vc\n\n# TL;DR\n\n* We generate a **bespoke integration prompt** for your coding agent **based on your pricing model and codebase**, so you don’t need to deal with docs\n* **Use Flowglad as the source of truth**: read what features and usage credits your customers have based on their billing state\n* You don’t need to store any ids from us on your side\n  * Refer to prices, features and meters using slugs\n  * Refer to customers using their id in your DB\n\n# Asks\n\n* Try Flowglad out for your next project, get started [here](https://www.flowglad.com/)\n* Check out our [Github](https://github.com/flowglad/flowglad/), where you can see all of our billing logic\n\n# Problem\n\nEven a minimal payments integration for a SaaS requires:\n\n* Choreographing at least 16 individual server-client boundary crossings\n* Maintaining mappings between your payment processor and your DB across at least 3-5 different entities (prices, plans / products, customers)\n* Handling race conditions\n\n![uploaded image](/media/?type=post&id=96121&key=user_uploads/272109/99803326-387d-4a8d-b4de-4755f6b12b63)\n\nAnd that’s just to accept a payment. You then need to write a bunch more code to map what features your customers can access based on their subscription.\n\nThe result is a bunch of glue code that you have to maintain to keep your app’s DB in sync with what happened in your payment processor. You sync your DB through webhooks which are brittle, create race conditions, and often one of the hardest parts of your app to test.\n\nAnd whenever you want to change your pricing, this code is the most liable to break.\n\n# Solution\n\nFlowglad gives you solid state payments. It eliminates glue code.\n\n### 1. Source of truth\n\nLike other payment providers, we handle the money movement for you. But unlike others, we also give you a source of truth for what your customers get access based on their billing state. You can check your customers’ access and create checkout sessions like so:\n\n![uploaded image](/media/?type=post&id=96121&key=user_uploads/272109/6beeac16-971d-4035-927e-9307a9bd8acf)\n\n### 2. Docs-Free Integration\n\nFlowglad generates a bespoke integration prompt specific to your pricing model and codebase, that you can give your AI coding agent.\n\nWhen coupled with the Flowglad MCP server, your agent can integrate payments in one shot.\n\n![uploaded image](/media/?type=post&id=96121&key=user_uploads/272109/fac8f58b-1b15-4fd7-9123-ba961b3192b2)\n\n### 3. Open Source = Code-as-Docs\n\nEvery billing engine has all kinds of edge cases. We built ours from scratch, and the code is fully open source. So you can clone it locally and have your AI agent scan our 130,000+ lines of test code to quickly tell you exactly what will happen across various scenarios. No more consulting vague or out of date docs.",
        "url": "https://www.ycombinator.com/launches/P0L-flowglad-the-open-source-zero-webhooks-payments-provider",
        "votes": 32,
        "created_at": "2025-12-10T20:13:10.870Z"
      },
      {
        "id": 74829,
        "title": "🎨 NUMI - Your startup's design department",
        "tagline": "A full-suite design department for startups, on subscription",
        "body": "# **TL;DR**\n\n[NUMI](https://numi.tech) gives your startup a design department on subscription, with a dedicated primary designer. We cover all your design needs, from product to web design, creative design, and even no code development.\n\n[**See example designs**](https://www.figma.com/proto/AmRAnvyBxNrdPlRZFijTIB/Our-Work?page-id=0%3A1&type=design&node-id=3-3&viewport=1224%2C1072%2C0.18&t=nZ4pPtvomYvN1h1d-1&scaling=scale-down&starting-point-node-id=3%3A3&hide-ui=1)\n\n![](https://i.gyazo.com/b3210ba3878b2702f4f9d80e4321e6e0.jpg)\n\n# **Problem**\n\nGood design is now a non-negotiable for startups.\n\nBut there isn’t a single person that can do **all** the kinds of design that startups need: product, brand, graphic, web, and site development.\n\nThis forces every founding team into freelancer management hell: they have to source, vet, and onboard designers for each discipline. Half of those designers quit, ghost, or are fired within 3 months.\n\nThe alternatives are either to spend $100k+ / year on white shoe agencies or full-time hires or go to freelancer platforms that commodify design (including the work they’ll do for you!).\n\n# **Solution**\n\n* **Unlimited design requests,** completed one at a time.\n* **A dedicated primary designer with timezone overlap**. You’ll collaborate directly over Slack, video, and Figma\n* **1:1 design office hours:** talk design strategy with cofounder Harrison (founding designer at Imgur, RISD alum), up to twice a month - while supplies last!\n* **Full design coverage**: product, brand, web, and no code design / development—all included. If you ever need something outside of your primary designer’s skill set, we’ll match you with an additional designer\n* **Guild of vetted pros:** our guild of designers is invite-only. Harrison and I personally vet every single designer before they join. Our acceptance rate is lower than 2%\n* **Backed by community**: NUMI’s guild means that if your designer ever faces a challenge, there’s a whole community of world-class designers available to help unblock them\n* **Satisfaction guarantee**: if you’re ever unhappy with your designer, we’ll match you with another one and handle their onboarding seamlessly\n\n# **Backstory**\n\nWhen we got into YC, our startup was growing fast and so was our design backlog. Even with my cofounder Harrison’s design prowess (RISD alum and founding designer of Imgur) in the design community, we were surprised by how much work went into building and maintaining our design capacity.\n\nSince then, we’ve spoken with hundreds of startups who have the same problem. One YC founder told us “I sent personalized messages to over 300 designers but got no responses.”\n\nWe figured there had to be a better way.\n\n# **Interested?**\n\n**Special launch offer:** try us out with a two-week, $15 trial.\n\n**If you’d like to give NUMI a shot, **[**book a call**](https://cal.com/team/numi/design-chat-15min)** with us**. We’ll personally walk through your design roadmap and help you prioritize the most impactful design work.\n\nIf you’re just design-curious, watch our podcast [**Bottom Line Design**](https://www.youtube.com/channel/UCDCuvx5TIrFjgUcSXp1ShKw) to see our interviews with design leaders from [YC and Instacart](https://www.youtube.com/watch?v=TMkkh2_3SLc), [Apple](https://www.youtube.com/watch?v=uE7nKvQ2T78), [Zapier](https://youtu.be/-sDsruRS-tE), and [Nike](https://www.youtube.com/watch?v=UhpzFDovsZM).",
        "url": "https://www.ycombinator.com/launches/JSv-numi-your-startup-s-design-department",
        "votes": 139,
        "created_at": "2023-09-13T15:17:53.613Z"
      }
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    "long_description": "Zaraz makes any website 40% faster with a single line of code, by optimizing how it loads third-party tools. This results in 2x conversion rates and better SEO rankings.",
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        "body": "**TLDR -** [Porter](https://porter.run) is a Platform as a Service (PaaS) that runs in your own cloud. It brings the magical experience of deploying your applications with a few clicks into your own cloud account. After a year since we closed down our self-serve flow, we are opening Porter back up for self-serve today.\n\n* [Sign up here](https://dashboard.getporter.dev) and start deploying applications on your own infrastructure that scales with you.\n* [Claim $10,000 in credits](https://gcpjnf9adme.typeform.com/to/lHMQdJYb) if your company is enrolled in YC Startup School. Along with the AWS credits you can claim from Startup School, this deal effectively lets you deploy on a PaaS for free - it’s like using Heroku with your AWS credits!\n\n![uploaded image](/media/?type=post&id=71916&key=user_uploads/323071/cc2f3fac-340f-4f39-9e4d-533f7ab40053)\n\n## **What is Porter?**\n\nHi everyone,\n\nWe are Trevor and Justin from [Porter](https://porter.run/). We first launched Porter almost 2 years ago - a lot has happened since then, and today we’re excited to re-launch our product and share our story so far.\n\n**For those of you who aren’t familiar:**\n\n_Porter is a Platform as a Service (PaaS) that runs in your own cloud. You just link up your Git Repository, and Porter will deploy it into your own AWS/GCP/Azure account. Under the hood, it runs your apps on a Kubernetes cluster that’s been battle-tested against real life incidents so you can scale on the same kind of infrastructure that growth-stage companies run without any DevOps work._\n\n## **The PaaS Graduation Problem**\n\nMany startups first get started on a PaaS like Heroku to move quickly without worrying about infrastructure. However, most of these companies end up migrating to their own cloud infrastructure at some point, because their applications need more flexibility as they scale (they “graduate” from their PaaS provider). 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        "title": "📈 Explo: Customer-facing analytics for any platform",
        "tagline": "Provide best-in-class analytics to your users in a fraction of the time and cost",
        "body": "**TLDR** Explo allows you to build customer-facing dashboards and reporting, lightning-fast. With Explo, you can create custom white-labeled dashboards for your application, share custom reports, or embed our AI report builder.\n\nWe’ve launched a new AI report builder that allows your users to converse directly with your application to create custom reports and glean insights.\n\n![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/73f9ccd9-a6e8-4cd0-ae39-6250552cb0ae)\n\n❓**Problem**\n\nProviding data and analytics to your users is crucial; however, building in-app dashboards and fulfilling constant data requests isn’t the best use of time for your product, data, and CS teams.\n\nLarger companies such as Stripe and Hubspot have teams of hundreds of engineers building out their user-facing analytics. You simply don’t have the time and resources.\n\n💡**Solution**\n\nExplo provides a full suite of embedded analytics solutions. Whether you need to spin up a quick dashboard as an MVP for your new product or provide custom, self-service analytics directly in your application, Explo has a full suite of white-labeled solutions to meet their needs.\n\nWith our newest Explo AI product, embed a full CoPilot experience for your users to create reports and glean insights by simply writing and chatting with your application.\n\n* [**Explo AI**](https://www.explo.co/products/explo-ai?utm_source=bookface&utm_medium=social&utm_campaign=deal): embed an AI experience into your product to enable your users to gain insights into their data\n\n  ![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/38823908-c17e-487f-b428-e0d6778830e6)\n\n* [**Dashboards**](https://www.explo.co/products/dashboard?utm_source=bookface&utm_medium=social&utm_campaign=deal): build fully white-labeled dashboards for your application or enable your users to create their own dashboards from a library of charts\n\n  ![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/88994b4f-a9b0-4909-bad3-64f20b50fd01)\n\n* [**Report Builder**](https://www.explo.co/products/report-builder?utm_source=bookface&utm_medium=social&utm_campaign=deal)[**:**](https://www.explo.co/products/report-builder) embed a full self-service analytics experience into your application, allowing your users to create their own tables and charts from scratch\n\n  ![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/76d047c2-dcb0-4c35-bfa2-63e86488a1d2)\n\n* [**Email**](https://www.explo.co/products/email?utm_source=bookface&utm_medium=social&utm_campaign=deal): cadenced and one-off emails to share analytics and data with your users\n\n🛠️ **How it works**\n\nGet Explo up and running in four simple steps:\n\n1. Connect your existing database or warehouse\n2. Create datasets, dashboards, and tooling in our low-code platform\n3. Style the interfaces to match your existing design and branding\n4. Securely integrate and embed Explo into your application\n\n🔍 **Explo for Internal BI**\n\nIf you’re looking for an internal BI solution that won’t break the bank, Explo offers a **FREE** tier for internal analytics with unlimited users and usage!\n\nExplo is built for product teams and developers. We power analytics of all sizes, from YC companies to Fortune 500 companies.\n\n🚀 **Get Started**\n\nInterested in learning more or getting your hands on Explo? Reach out to us directly at [founders@explo.co](mailto:founders@explo.co) or book a demo [here](https://www.explo.co/book-a-demo).",
        "url": "https://www.ycombinator.com/launches/L03-explo-customer-facing-analytics-for-any-platform",
        "votes": 10,
        "created_at": "2024-05-09T18:02:47.167Z"
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        "body": "Hey! Super thrilled to share Pathspace with all of you!\n\nPathspace is the easiest and most effective way to solve problems together using design thinking best practices and the power of GPT-3.\n\n**TL;DR Solve problems together for free at** [**pathspace.com**](http://pathspace.com)**. No learning curve. No signup required.** \n\n![](https://uploads-ssl.webflow.com/62d313720e07abf87ece7618/62df4aaf229ef36da3537997_Step%202.png)\n\n—\n\n### **❌ The Problem**\n\nThere’s been an enormous shift towards remote work, which is excellent for flexibility and accessing global talent but not so great for collaborative creativity & brainstorming.\n\nMost group brainstorming involves a few people throwing out ideas. Then, a team leader guesses consensus and prioritizes. **This typical brainstorming process is far from ideal and has the following flaws:**\n\n1. **Single-threaded** - With only one person talking at a time, there is a single train of thought, and many good ideas are left unsaid and unexplored\n2. **Groupthink** - The desire for quick decisions and group cohesion can make bad decisions seemingly unanimous\n3. **Controlled by Leaders and Extroverts** - The loudest team members or those with the most authority can drown out the opinions of the more introverted and junior team members.\n4. **Self-censorship** - Fear of judgment and social anxiety can cause some members to withhold crazier ideas.\n5. **Poor engagement** - Doing nothing and waiting for the meeting to end passively is easy, especially remotely.\n\n—\n\n### **✅ The Solution**\n\nWe created a brainstorming tool for remote teams with built-in design thinking best practices from expert facilitators.\n\nIt’s a quick, customizable step-by-step process to unleash your team's creativity and prioritize.\n\n**Pathspace is easier to use than a “digital whiteboard” and more robust than a doc:**\n\n1. **Structured and intuitive** - Rather than a single generic interface like a doc or whiteboard, each step in the process has a unique user interface.\n2. **AI suggestions** - Leverage the power of GPT-3 to generate more out-of-the-box ideas.\n3. **Anonymous (no groupthink)** - Discover the best ideas and reach a democratic consensus with anonymous ideas and voting.\n4. **Organized and exportable** - Instead of scattered stickies that are hard to parse, we automatically keep everything organized so you can easily understand results and export them.\n5. **Customizable** - Create and customize Pathspace to your process by mixing and matching different tactics.\n\n![](https://uploads-ssl.webflow.com/62d313720e07abf87ece7618/62df4aafd1d3f877f7a7d04d_Step%205.png)\n\n—\n\n### **Brainstorm for free. No signup required.**\n\nIf you’re reading this, most likely you’re a founder. Here are some prompts we recommend brainstorming with your team and wish we had done earlier :)\n\n1. [Who is our ideal customer/persona?](https://app.pathspace.com/create?prompt=Who%20is%20our%20ideal%20customer/persona?)\n2. [How might we validate our product?](https://app.pathspace.com/create?prompt=How%20might%20we%20validate%20our%20product?)\n3. [How might we improve retention?](https://app.pathspace.com/create?prompt=How%20might%20we%20improve%20retention?)\n4. [How might we get more leads/signups?](https://app.pathspace.com/create?prompt=How%20might%20we%20get%20more%20leads/signups?)\n5. [What features should we build next?](https://app.pathspace.com/create?prompt=What%20features%20should%20we%20build%20next?)\n\nClicking on the prompts above will take you straight into Pathspace.\n\n**You can learn more & use it for free at** [**pathspace.com**](http://pathspace.com)**.**",
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        "full_name": "Michael Dwan",
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    "name": "TrueNorth",
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        "full_name": "Sanjaya Wijeratne",
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        "full_name": "Jin Stedge",
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    "news": [
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        "title": "TrueNorth has raised $50 million from Sam Altman and others to empower independent truckers – TechCrunch",
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    "name": "Signadot",
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        "full_name": "Anirudh Ramanathan",
        "title": "Founder",
        "founder_bio": "Technical Leader with a focus on distributed systems. I am passionate about containers, k8s and building better tools for systems of the future.",
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        "title": "  The Next Key Innovation in the Shift-Left Movement by @ttunguz ",
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      },
      {
        "title": "Y Combinator Alum Signadot raises $4M led by Redpoint Ventures to Reimagine Microservices Testing on Kubernetes",
        "url": "https://www.prnewswire.com/news-releases/y-combinator-alum-signadot-raises-4m-led-by-redpoint-ventures-to-reimagine-microservices-testing-on-kubernetes-301488164.html",
        "date": "Aug 30, 2022"
      },
      {
        "title": "Signadot promises developers faster feedback loops – TechCrunch",
        "url": "https://techcrunch.com/2022/02/23/signadot-promises-developers-faster-feedback-loops/",
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      {
        "id": 90673,
        "title": "🤖 SmartTests: AI powered Contract Testing",
        "tagline": "Ridiculously simple way to catch API contract breakages before merging code",
        "body": "Hey everyone! We’re [Arjun](https://www.linkedin.com/in/arjun-iyer-916332/) and [Anirudh](https://www.linkedin.com/in/anirudhrx/), co-founders of [Signadot](https://www.signadot.com/) and we’re simplifying the lives of developers building distributed cloud native applications.\n\n# **🎯tl;dr**\n\nSmartTests automatically catch breaking API changes in microservices without writing contracts or maintaining mocks. AI compares your new code against baseline behavior using real traffic and only flags changes that actually matter.\n\nDemo video: https://youtu.be/HHGgSKk2K_k\n\n# ❗️Problem\n\nMicroservices break each other all the time. A team changes their API response format, and suddenly three downstream services start failing in production. The usual solution is contract testing, but here's the reality: most teams either skip it entirely or abandon it after a few months.\n\nWhy? Current tools put the entire burden on developers. You have to write consumer contracts for every API interaction, maintain mock servers, and keep updating tests every time contracts change. It's exhausting busywork that pulls focus from shipping features. Teams know they should do it, but the tooling makes it feel like a second job.\n\n# **💡** Solution\n\nSmartTests flip the script on contract testing. Instead of forcing developers to predict every possible breaking change, we observe real API interactions and automatically catch contract violations. Write a simple test in Starlark, and our AI compares baseline behavior against your changes to spot what actually matters.\n\nNo mock servers to maintain. No contract files to update. No noise about irrelevant changes. Just fast, accurate feedback in your PRs that tells you when you're about to break something downstream.\n\n# 🏃How does it work?\n\nWhen you push code, SmartTests spin up lightweight sandboxes in your Kubernetes cluster and run your test scripts against both the new version and the baseline. These aren't mocked interactions—they're real API calls hitting real services in isolated environments.\n\nThe magic happens in the comparison. Our AI analyzes the responses from both versions and figures out which differences actually matter. Did you add a new optional field? Probably fine. Did you change a required field's data type? That's going to break things. The AI surfaces only the changes that could affect downstream services, so you get signal instead of noise.\n\n![uploaded image](/media/?type=post&id=90673&key=user_uploads/47401/298831aa-1812-4117-8461-1a77db646e8c)\n\n# **💯** Why did we build this?\n\nWe kept hearing the same story from engineering teams: \"We tried existing tools, but it was too much work to maintain.\" When developers abandon tools that should make their lives easier, the tool is the problem, not the developers.\n\nThe breaking point was talking to a team at a Series B company who had spent three months setting up comprehensive Pact tests, only to disable them six months later because they couldn't keep up with the maintenance burden. That's when I realized we needed to completely rethink the approach—AI could handle the heavy lifting leaving developers to focus on what they do best: building great software.\n\n# 👍 How do I get access?\n\nJust sign up using https://www.signadot.com/ and try our [Quickstart](https://www.signadot.com/docs/tutorials/quickstart/contract-testing) guide. Feedback is much appreciated!",
        "url": "https://www.ycombinator.com/launches/NaT-smarttests-ai-powered-contract-testing",
        "votes": 10,
        "created_at": "2025-05-23T14:24:32.530Z"
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      {
        "id": 74187,
        "title": "Developer Environments built for Kubernetes",
        "tagline": "Signadot helps developers building microservices ship features fast",
        "body": "**tl;dr**: If you’re running microservices, you can now use Signadot to help developers ship features faster using lightweight dev environments. These environments spin up in seconds within a Kubernetes cluster **that you run** and scale well across hundreds of developers and microservices without incurring large infrastructure costs or maintenance burdens. These environments are built on top of “Sandboxes”, a new approach that is used in companies like [**Uber**](https://www.uber.com/blog/simplifying-developer-testing-through-slate/) and [**Lyft**](https://eng.lyft.com/scaling-productivity-on-microservices-at-lyft-part-3-extending-our-envoy-mesh-with-staging-fdaafafca82f) and we’re excited to make that available to everyone.\n\nWe launched about a year ago, with a focus on preview & test environments in Kubernetes. With our latest update, we’re adding the following new capabilities:\n\n* Developers can now run the **dev version of a microservice on their laptop** and seamlessly connect it to a shared Kubernetes cluster and start testing as though the whole application were running locally. They get 10x faster feedback by testing their changes in a live Kubernetes environment during active development. \n* Multiple such dev environments can be combined together to **test different microservices with each other** as they're being developed. This means developers can collaborate and get a feature spanning different microservices working end-to-end long before their code gets merged or hits a staging/production environment.\n\n### **How does it work?**\n\nJust as before, we use request routing (using a Service Mesh like [**Istio**](https://istio.io/) or a sidecar-based system that we built) to isolate these environments from one another in a shared Kubernetes cluster.\n\n![](https://ph-files.imgix.net/f5efe69b-ed3c-4306-af3e-c5d757877d7a.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&fit=max)\n\nRead more about our launch [**here**](https://www.signadot.com/blog/bridging-the-gap-local-testing-in-shared-kubernetes-clusters), or watch a video of how teams use these dev environments here: [**https://www.youtube.com/watch?v=HXUmPJTdwm0**](https://www.youtube.com/watch?v=HXUmPJTdwm0\\*\\*)\n\n### **How do I get access**\n\nJust sign up using [**https://www.signadot.com/signup**](https://www.signadot.com/signup\\*\\*) and try one of our [**quickstart**](https://www.signadot.com/docs/quickstart) guides. Feedback is much appreciated!",
        "url": "https://www.ycombinator.com/launches/JIZ-developer-environments-built-for-kubernetes",
        "votes": 5,
        "created_at": "2023-08-17T16:06:42.169Z"
      },
      {
        "id": 65752,
        "title": "Signadot: Ephemeral Test Environments built for Kubernetes",
        "tagline": "Spin up lightweight environments to enable pre-merge testing for microservices. Discover issues before merging code and ship new features faster.",
        "body": "### 😎 **TL;DR**\n\nWe’re building a Kubernetes-based solution that enables environments, called Sandboxes, to test your microservices early in the development lifecycle. Unlike traditional environments, Sandboxes are lightweight and spin up in seconds. This makes it cost-effective to create test environments for every pull request, branch, and commit.\n\n### 🤔 **The problem with traditional environments**\n\nMost engineering teams use pre-production environments, called staging environments, to test against real-world conditions. However, testing on staging introduces the following challenges:\n\n1. Staging environments are typically shared among engineering teams and regressions introduced here block other developers. This results in frequent roll backs to unblock others.\n2. Since commits from various teams are co-mingled on staging, breakages take a long time to troubleshoot and fix. As the engineering team grows, this problem only gets worse and development slows down.\n\n### **😅 Enter Signadot**\n\nWith Signadot, DevOps teams can set up lightweight environments, called Sandboxes, that can be used to test each pull request/commit. Teams run a suite of integration and end-to-end tests for each PR without impacting others. This helps find issues early that would otherwise be found in staging (or worse … in production!).\n\nOur CLI/YAML integrates with CI pipelines to automate the testing of Pull Requests. As shown in the image below, Sandboxes encapsulate “services-under-test” connected to other dependencies running in Kubernetes. Sandboxes are lightweight to spin up and cost-efficient at scale.\n\n![uploaded image](/media/?type=post&id=65752&key=user_uploads/47401/edb398f0-819b-43f3-9152-9ba015164069)\n\n### **🤓 How this helps your team:**\n\n* Minimize rollbacks on staging and production\n* Increase the frequency of production deployments\n* Save on infrastructure costs using lightweight Sandboxes\n\n### **🤩 Try us out!**\n\n1. [**Sign up for free**](https://www.signadot.com?utm_campaign=Launch%20YC&utm_source=yc&utm_medium=launchyc) **to start testing your microservices today**\n2. Join the discussion on testing strategies for microservices in our [Slack Community](https://signadotcommunity.slack.com/) or [GitHub Repo](https://github.com/signadot). You can also book a time to chat with one of our founders [here](https://calendly.com/signadot/demo).",
        "url": "https://www.ycombinator.com/launches/H6W-signadot-ephemeral-test-environments-built-for-kubernetes",
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    "name": "Operator.io",
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    "website": "http://operator.io",
    "all_locations": "New York City, NY, USA",
    "long_description": "Operator.io is the easiest way to set up an OpenClaw agent and connect it to 1000+ different applications like Gmail, Notion, Stripe, and more. Onboard an AI executive assistant that tackles the tasks you know need to be done that you don't have bandwidth for.",
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    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1583870881,
    "tags": [
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        "full_name": "Kevin Joo",
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        "full_name": "David Shi",
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        "title": "The Top 50 Software CEOs of 2024 | The Software Report",
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      {
        "title": "Korea Credit Guarantee Fund backs 4 startups with a $13 million credit guarantee to become unicorns - KoreaTechDesk | Korean Startup and Technology News",
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        "title": "QueryPie AI Platform (AIP)",
        "tagline": "Enterprise AI That Finally Gets How You Work",
        "body": "# \n\n# **Start Your AI Transformation Journey From Here!**\n\n![uploaded image](/media/?type=post&id=86183&key=user_uploads/409310/0e50f265-775e-442a-9938-3c3825915981)\n\nQueryPie AI transforms how enterprises do AI by solving what others can't: sky-high costs, security nightmares, and complexity that kills innovation. Since its founding in 2017 in Silicon Valley, QueryPie AI has evolved from data protection leaders to the comprehensive AI platform that delivers custom agents, centralized governance, and pay-per-use models—replacing those budget-draining $40-$80 monthly subscriptions with 90% cost savings.\n\nThe result? Enterprise-grade AI that works for everyone. QueryPie AI has eliminated the impossible choice between cutting-edge AI and reasonable budgets. We prove that advanced AI doesn't require Fortune 500 budgets—just the right platform. Ready to revolutionize your AI strategy without the enterprise price tag?\n\n**👇 Try it out now**\\\nhttps://app.querypie.com/login\n\nㅤ\n\nㅤ\n\n# **🗝️ QueryPie AIP: Your Key to AX Success!**\n\n![uploaded image](/media/?type=post&id=86183&key=user_uploads/409310/f42215f2-66ac-4183-badd-e4540df25805)\n\n**QueryPie AIP (AI Platform)** is an enterprise AI playground that seamlessly integrates MCP (Model Context Protocol) servers, enabling you to build sophisticated AI agents and deploy them instantly.\n\nTransform your business operations without infrastructure overhauls, security risks, or data disruption—the only platform delivering real-time AI agent capabilities while maintaining your existing IT environment.\n\n### 💸 Usage-Based Enterprise AI\n\nReplace expensive ChatGPT subscriptions with cost-effective, usage-based enterprise LLM deployment that scales with your needs.\n\nPerfect for organizations seeking flexible, budget-friendly AI solutions with enterprise-grade security and compliance capabilities.\n\n### 🚏 Unified MCP Gateway\n\nCentrally manage, monitor, and integrate 45+ pre-built MCP tools and custom MCP servers through our comprehensive gateway platform.\n\nStreamline AI workflows 
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    "name": "Cortex",
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        "title": "Release AI — Talk to your Infrastructure",
        "tagline": "Engage in meaningful conversations with your AWS account and your K8s infrastructure.",
        "body": "[**Release**](https://release.com) helps developers get their amazing ideas out into the world faster. 🚀 When it comes to developers, DevOps has turned into an additional hurdle on the path to delivering product features. Originally, DevOps was meant to empower developers with operational tasks, but instead, it evolved into a team that controls access and holds the keys to the information and systems needed to deploy and release quickly. \n\n📣 In every organization, a handful of exceptional DevOps 👨‍💻 engineers become the oracles of knowledge and the entire team relies heavily on their expertise. However, reliance on a few go-to experts inevitably becomes a bottleneck on the team's speed and ability to ship. Don’t you wish you had your expert DevOps engineer on a speed-dial, without actually bugging them? \n\n🤖 Introducing **Release AI**—a powerful tool that allows anyone using the Release CLI to get go-to DevOps engineers’ answers, without tying up the experts’ time. Developed with developers and engineers in mind, Release AI extends the capabilities of OpenAI's GPT-4 public LLM with our extensive expertise in DevOps, providing you with relevant context, control, and content tailored to your organization's unique needs.\n\n👷‍♂️ In its initial phase, Release AI provides \"read-only\" access to both AWS and Kubernetes. This lets you engage in meaningful conversations with your AWS account and your K8s infrastructure. Looking forward, we plan to add more tools for commonly used systems, along with the introduction of write access, which will allow you to automate an even broader range of your 🤹‍♀️ daily tasks.\n\nHere are some examples of what you can do with Release AI:\n\n🐳 **Talk to your Kubernetes clusters**\n\n![uploaded image](/media/?type=post&id=74153&key=user_uploads/423512/d5b71075-1a25-4f12-a49f-0a95aa14d4c9)\n\n🧑‍💻 **Talk to your AWS infrastructure**\n\n![uploaded image](/media/?type=post&id=74153&key=user_uploads/423512/9fcdd298-b284-4fdc-96d9-f33eed3d2dab)\n\n💰 **Keep track of your AWS spend**\n\n![uploaded image](/media/?type=post&id=74153&key=user_uploads/423512/8a11fe73-1851-4908-b27c-43bd5a57d9fb)\n\n⏰ **Create Cron Jobs and Reminders**\n\n![uploaded image](/media/?type=post&id=74153&key=user_uploads/423512/19ce66c3-4694-41f7-9ef2-0eae0ead7dc4)\n\nWe have a [Slack community that you can join](https://join.slack.com/t/release-ai/shared_invite/zt-20dxgp2o0-ePCXzsag6l8_i4HwOgRItg) to talk about Release AI. We also wrote a 🚀 [quick-start guide](https://docs.release.com/release-ai/quickstart) to help you get started.\n\n# Our Ask 🙏\n\n[Try it out!](https://beta.release.com/ai/register) We would love your feedback as we are enhancing Release AI, reach out to us with any feature requests or crazy ideas that Release AI could do for you. We hope you enjoy using Release AI! ❤️\n\n— The Release Team",
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        "tagline": "The easiest way to develop with production data",
        "body": "At [Release](https://release.com) we help “virtualize” your environment, so you can quickly reproduce it for various purposes: remote development, testing, staging, or even running production. Our platform serves as a one-stop shop for all of your environment requirements. We have taken our most popular feature and are now offering it as a stand-alone product for free!\n\n⚡️Instant Datasets is one of the most popular features of the Release platform because we make the management of pools of data easy. Release’s Instant Datasets workflow means you don’t need to worry about managing the creation of databases from snapshots. As new snapshots arrive they will automatically be incorporated in your dataset. Instant Datasets allows you to easily create multiple pools of datasets and distribute them to your teams and it cleans _🧹_ up after itself.\n\n![](https://4032318958-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M1neGLLQ0sDXeK6ooSo%2Fuploads%2FuFlNpsifRLmeTcT73L4S%2FScreenshot%20from%202022-05-03%2011-59-14.png?alt=media&token=b4529430-e7d6-4767-a10b-aa3493a5f51d)\n\n_Using the built-in replication functionality of services like RDS, Instant Data sets creates pools of databases for use wherever production data is needed._\n\n📀 Data is one of the most important aspects of any environment. Without real data to support it, the code or running containers lose much of their usefulness. Often, the complexities and burden of distributing production or production-like data is an “exercise left to the reader” when looking for providers of environments or a development platform as a service. **Your ephemeral environments are only as good as your data!** At Release we built a version of Instant Datasets, day 1 for this very reason. **We are now making it available as a stand-alone product** for you to incorporate into any local development process, ci/cd pipeline, etc!\n\n![uploaded image](/media/?type=post&id=73732&key=user_uploads/19885/644c642f-b0e7-43a8-b3bb-448466031ba9)\n\n_Dataset with one in use, one starting up, and one available for someone to use_\n\nSetting up and using Instant Datasets is super simple:\n\n✅ **Create a Release Instant Datasets account** [**here**](https://beta.release.com/instantdatasets/register)\n\n✅ **Create a cloud integration**\n\n![](https://lh6.googleusercontent.com/3STD6S6crrkGBxL6aCHoSnwL-IjTFkSst_fhdIYfPD7IMU6WxQOkSDH2iQYJjMINA8Gjn06eLSLryyizQ8G6Rd3ojR6-9mSp7_VlO4qe-D5K4wNKDbmbi7novSesgN36EZMPk9IHdVH-sgNH6D9aPGQ)\n\n_Cloud Integrations are how Release talks to your cloud provider on your behalf_\n\n✅ **Create a dataset**\n\n![](https://lh3.googleusercontent.com/nFZIdkEW320QyNNKumPmVO4iIaqEn2ZFZhTnAS7zqfWzDnmamR_-Rsr07n10EK5sP7rWJVP4BZSH_YYhT0WZlZLkXz4otjEv8t0-8FLRvXTbA2DZwrI7TYmIfynQIgtplP2ngL2OMHSP1XUn0MAIWNo)\n\n_Release lets you control cost, security and performance of you dataset_\n\n🏁 **Checkout a database and use it in your environment for as long as you need it**\n\n![](https://lh5.googleusercontent.com/3DP_hXM8pCFjWAGo6jpK1eKHM3qMu3sWdcPSJWzkTMboho8nI8aFh1HRIfNCplYbGdMgYLhkdgL6s6ixavx597PSOJxByen1wRRsINuj1upAxO1EPuF0S9pW8o1pAxQ99IKqnZzmixt1dd_idPJkVpk)\n\n![](https://lh3.googleusercontent.com/b0SiudL37kwJyHl2_wED4gOGv4GvQcustSeSu4Y_-TIaVTCA6g8GcmJGD1YpCBX3ehZV8n69soCZZDocrcFfV4CTt57Dlp2BiP2wHwMb3jWLeGxuPhIsuYyllHL51bTNdbsIOkjg8n33c48TYO0Wt5U)\n\n_Release provides you with everything you need to connect to your dataset_\n\nWe wrote a 🚀 [quick-start guide](https://docs.release.com/release-instant-datasets/quickstart) and made a 👣 [walkthrough video](https://vimeo.com/849156936) to help you get started.\n\n❓ Although the standalone Instant Datasets has a few limitations compared to the Release platform version, we are actively working on resolving them in the upcoming weeks. Currently, we support RDS and Aurora in AWS, with Google Cloud support coming soon. Additionally, we will be adding the capability to pause databases on a schedule to save resources and money, as well as the ability to cleanse production data before creating a pool of databases. All of these features exist in the Release platform and are being added to the stand-alone product currently.\n\n### Our Ask 🙏\n\n**Please give Instant Datasets a **[**try**](https://beta.release.com/instantdatasets/register)**!** Our customers, as well as the team at Release, have found it incredibly valuable to build and test with production-like data. In fact, it's how we develop all our products, including Release. From the very beginning, we recognized the importance of having production-like data to create the best possible development platform. We would love your feedback. We hope you enjoy using Instant Datasets too! ❤️\n\n— The Release Team",
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        "body": "Okay, maybe it's our german OCD, but we can't stand it if products are not organized, fast and efficient.\n\nBut why do sales organizations let a clunky Salesforce setup slow them down?\n\n#### **😐 The problem for GTM teams**\n\nCompanies that scale their GTM rely on Salesforce as the source of truth for all customer data. And they mostly rely on their Sales team to capture that data. But processes and data requirements change fast and different stakeholders just add more data fields into their CRM until it becomes too cluttered to be usable.\n\nWe found that the average Salesforce instance has 757 fields to maintain and update. It's a nightmare.\n\nYour GTM team probably suffers from:\n\n* loss of sales productivity due to time spent updating instead of selling\n* messy and duplicate data that needs constant manual clean up so you can run reports\n\n![uploaded image](/media/?type=post&id=64170&key=user_uploads/363716/44be1f1b-c7e5-484c-92cb-82b43aa0b072)\n\nYou hire more revenue operations to babysit and micromanage salespeople to follow the (overcomplicated) sales process.\n\n#### **🧿 Introducing Laserfocus - Implement streamlined Salesforce processes for agile GTM teams**\n\nWe believe a tool should help the salespeople understand what action brings the most value to them and the company. And it should be agile enough so the sales organization can adapt to the fast-changing market conditions sales teams face daily.\n\nLaserfocus makes the sales process as simple as possible, but not simpler:\n\n* Maximizes the time salespeople can spend on selling by showing them what they need to focus on\n* Ensures that all data lands into Salesforce in the proper fields so you can make informed business decisions instead of pulling it from different shadow systems\n\nOh, and it's super fast and delightful to use. You can see a short 48-second demo preview here:\n[![uploaded image](/media/?type=post&id=64170&key=user_uploads/363716/c28243e4-549e-404c-8666-9338c65858fe)](https://videos.laserfocus.io/c1Hxnq)\n\n#### **👀 How to try Laserfocus**\n\nAnyone on your team with a Salesforce license can sign up for our free basic version at [www.laserfocus.io](http://www.laserfocus.io)\n\nOr you can schedule a demo at <https://calendly.com/lasertalk/daniel>\n\nWe're giving all YC co's 20% discount for 6 months on the **Team** plan.",
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        "id": 91366,
        "title": "Sotel: Network-Intelligent eSIM for global connectivity",
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        "body": "Hi Everyone! I’m Emmanuel, co-founder of [Termii](https://termii.com) (YC W20), and we’re launching [Sotel](https://sotel.com), a network-intelligent eSIM app that gives you seamless mobile connectivity in 180+ countries — no SIM cards, no hidden fees.\n\n📌 **TL;DR**\\\n[Sotel](https://sotel.com) is the easiest way to get mobile data globally. We intelligently and automatically analyze carrier coverage, switching you to the best local network in real-time based on your location, usage pattern, and performance needs.\n\n**The Problem:**\\\nMillions of people — especially remote teams, travellers, and startup nomads — suffer from:\n\n* Expensive roaming charges\n* Poor network performance when travelling\n* Fragmented eSIM platforms with no real-time optimization\n* No visibility into where their connection is weakest (until it fails)\n\n**Our Solution:**\\\n🔁 **Dynamic Network Optimization**: We evaluate local carriers in real-time and connect you to the one with the best speed, latency, and coverage — using network and signal intelligence.\\\n📱 **Global eSIM Access**: Download once, connect anywhere. We offer affordable plans across 180+ countries.\\\n📊 **Smart Usage Dashboard**: Track data usage, get alerts and optimize performance before a video call drops.\\\n🛡️ **Privacy-Focused**: No personal ID is needed for 95% of destinations.\n\n**Why We’re Building This**\\\nAt Termii, we power critical communication APIs used by 20,000+ businesses processing 2B+ transactions annually. As we expanded globally, we ran into the same issue our users faced — unpredictable and expensive connectivity. Sotel is our solution, built from the ground up for modern, mobile-first users.\n\n**Who It’s For**\n\n* International teams and remote workers\n* Frequent travellers, digital nomads\n* Businesses that want to keep their global staff always connected\n* Developers integrating global IoT/M2M connectivity\n\n**Traction So Far:**\n\n* Pilots running across 4 continents\n* Partnered with major telecom companies in Africa, US & Europe\n\n**Try it now**: [Google Play Store](https://play.google.com/store/apps/details?id=com.sotel.mobile&pcampaignid=web_share) and [Apple App Store](https://apps.apple.com/ng/app/sotel/id6740035152)\n\n**We're Looking For:**\n\n* Feedback from global users, remote workers, and telco nerds\n* Partnerships with travel, fintech, and remote work platforms\n* Early adopters to test our Intelligent switching engine\n* Investors interested in telco infrastructure + AI\n\nLet’s chat → [founders@termii.com](https://mailto:founders@termii.com)",
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        "title": "📬 Stable: A virtual business address & mailbox (now live in Texas and Florida)",
        "tagline": "Stable provides a business address & virtual mailbox that can be used with the IRS, government entities, banks, and more.",
        "body": "👋 Hey YC!\n\nSarah here — I’m a co-founder at Stable, and we provide companies with a business address and virtual mailbox so they can manage their mail online. \n\nToday we’re thrilled to share that we’ve launched in Texas and Florida (+ with a special deal)! \n\n![uploaded image](/media/?type=post&id=71235&key=user_uploads/89898/eccd3582-fed8-444e-aed8-ab2015d0a242)\n\n**📬 About Stable** \n\nWe launched Stable in the middle of the pandemic when companies were shutting down offices and going fully remote but still needed a physical address to use with the government, IRS, banks, and other vendors.\n\nBut after working with more than 1400 companies like Jeeves, Indiegogo, and Airbyte, we’ve realized that no one likes managing physical mail – whether they’re remote or working out of an office. \n\nSo in addition to helping companies open, view, forward and shred mail online, we’ve built features that save companies dozens of hours every month – from startups that just need a business address to incorporate to growth stage businesses processing 1000s of pieces of mail a month. \n\nHere’s what we’ve launched recently.\n\n* Search across all mail by sender, receiver, or anything on the envelope\n* Auto-scan received mail & auto-deposit checks\n* Get notified when mail is assigned to you or your department\n* Auto-route mail to the right department\n* Control mail access with roles and permissions\n\nNow, we're excited to be able to help even more companies by launching Stable in two highly-requested locations – Texas and Florida! \n\n![uploaded image](/media/?type=post&id=71235&key=user_uploads/89898/c7760542-7fa2-4df6-9c09-9ee48e418428)\n\n💰 **Special Deal**\n\nGet a $25 monthly discount ($300 annual) when you sign up for an address in Texas or Florida with the code “texas” or “florida”.\n\nYou can get your address set up in less than 3 minutes [here](https://dashboard.usestable.com/onboard/begin?utm_source=bookface&utm_medium=post&utm_campaign=fl-tx-launch).  \n\nIf you’d like to learn more or have questions, leave a comment, check out our website, or shoot us an email at [hello@useStable.com](mailto:hello@useStable.com).",
        "url": "https://www.ycombinator.com/launches/IWx-stable-a-virtual-business-address-mailbox-now-live-in-texas-and-florida",
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        "created_at": "2023-04-27T15:01:13.772Z"
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        "id": 64747,
        "title": "📬 Stable: a virtual business address & mailbox (now live in Delaware)",
        "tagline": "Stable provides a permanent business address & virtual mailbox which can be used with the IRS, government entities, banks, and more",
        "body": "Hi all 👋!\n\nWe're Sarah & Collin, the founders of [Stable](https://www.usestable.com/?utm_source=launch-yc&utm_medium=post&utm_campaign=de-launch) and today we’re excited to announce our new address in Dover, Delaware!      \n\n&nbsp;\n\n### **📬 What is Stable?**\n\n[Stable](https://www.usestable.com/?utm_source=launch-yc&utm_medium=post&utm_campaign=de-launch) is a virtual address and mailbox for business — companies like Robinhood, Lugg, and Indiegogo use Stable to maintain their business address, digitize their mailbox, and manage their company from anywhere in the world.\n\nWe work with 100s of YC startups and as part of our DE launch, we're offering $300 off of any plan (or $25 / month) for the first year. Get started [here](https://dashboard.usestable.com/onboard/begin?promoCode=delaware) (more info below). \n\n**Why businesses use Stable:**\n\n🏢 A permanent business address to use with the IRS, government entities, banks, etc\n\n📨 Open, view, forward, and shred your mail securely without physically entering a mailroom\n\n📍 Guidance on compliantly switching your address for taxes, registrations, payroll + more\n\n⚡ Integrations with the tools you love to use (Slack, Drive, etc)\n\n💻 Modern platform with automations, encrypted file storage, optical character recognition, and more\n\nWe make establishing a permanent US business address easy, so you can manage your business from anywhere and never have to worry about changing addresses again.      \n\n&nbsp;\n\n### **🏇Why Delaware?**\n\nSince we’ve launched Stable, we’ve had the opportunity to:\n\n\\- Work with 1000s of businesses across the globe\n\n\\- Process tens of thousands of pieces of mail + packages\n\n\\- Deposit millions of dollars in checks\n\n\\- Launch a Registered Agent service in all 50 states\n\nTo date, we haven’t had a great solution for Delaware businesses that want an address where they are incorporated — whether that be because they are completely distributed, based entirely overseas, or something else. Launching in Delaware changes this and allows us to service almost every venture backed startup :).\n\n&nbsp;\n\n### **💰 Special DE Deal**\n\n\\- Use the referral code “Delaware” to get $25 off / month ($300 annually) for your first year  \n\n\\- Valid for any new DE customer — redeem [here](https://dashboard.usestable.com/onboard/begin?promoCode=delaware)  \n\n\\- Must sign up by July 31, 2022\n\n\\\nIf you’d like to learn more or have questions, leave a comment, check out [our website](https://www.usestable.com/?utm_source=launch-yc&utm_medium=post&utm_campaign=de-launch), or shoot us an email at [hello@useStable.com](mailto:hello@useStable.com) 💌",
        "url": "https://www.ycombinator.com/launches/GqJ-stable-a-virtual-business-address-mailbox-now-live-in-delaware",
        "votes": 71,
        "created_at": "2022-07-20T01:51:13.006Z"
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    "one_liner": "The API to get recordings, transcripts, and metadata from meetings",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/recall-ai/",
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    "primary_partner": {
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    "founders": [
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        "user_id": 316225,
        "full_name": "David Gu",
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        "full_name": "Amanda Zhu",
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    "jobs": [
      {
        "id": 62373,
        "title": "Developer Experience Engineer [In Person, SF]",
        "url": "https://www.ycombinator.com/companies/recall-ai/jobs/wWqvjDn-developer-experience-engineer-in-person-sf",
        "location": "San Francisco, CA, US",
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    "news": [
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        "title": "Recall.ai: Unlocking the World’s Conversations",
        "url": "https://www.youtube.com/watch?v=IGXKIL57uwc",
        "date": "Sep 10, 2025"
      },
      {
        "title": "Recall.ai Series B: The API for Meeting Recording",
        "url": "https://www.recall.ai/blog/recall-ai-series-b-the-api-for-meeting-recording",
        "date": "Sep 04, 2025"
      },
      {
        "title": "YC-backed Recall.ai gets $10M Series A to help companies use virtual meeting data | TechCrunch",
        "url": "https://techcrunch.com/2024/05/16/yc-backed-recall-ai-gets-10m-series-a-to-help-companies-utilize-virtual-meeting-data/",
        "date": "May 16, 2024"
      },
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        "title": "Recall.ai helps companies make the most of virtual meeting data • TechCrunch",
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    ],
    "launches": [
      {
        "id": 88317,
        "title": "Slack Huddles API by Recall.ai",
        "tagline": "Programmatic access to Slack Huddles data",
        "body": "Hey everyone!\n\nWe just launched an API that lets developers programmatically access Slack Huddles data, making it possible to build apps that capture, analyze, and integrate Slack Huddles conversations.\n\n**Why we built this**\n\nSlack Huddles are great for quick discussions, but they don’t provide a way to retrieve transcripts, recordings, or speaker data. Once a huddle ends, the conversation is gone.\n\n**What developers can build with the Slack Huddle API**\n\nWith a single API call, you can:\n\n* Retrieve transcripts, recordings, and speaker timelines from Slack Huddles\n* Automate workflows for incident management, support escalations, and team handoffs\n* Integrate Slack Huddles data into CRMs, analytics platforms, and knowledge bases\n* Build AI-powered tools for summarization, insights, or search on top of huddle data\n\n**Get access**\n\nCheck out the [Slack Huddles API documentation](https://www.recall.ai/product/slack-huddles-api) and get started [here](https://www.recall.ai/get-started).\n\n![uploaded image](/media/?type=post&id=88317&key=user_uploads/316225/0c06a860-4f67-4669-98c0-3786623228ce)\n\n",
        "url": "https://www.ycombinator.com/launches/MyT-slack-huddles-api-by-recall-ai",
        "votes": 6,
        "created_at": "2025-03-06T21:37:51.273Z"
      },
      {
        "id": 85723,
        "title": "Recall.ai Desktop Recording SDK: Access real-time meeting data without bots 🚫🤖",
        "tagline": "Integrates with Electron applications in under 5 minutes",
        "body": "<https://youtu.be/stsH9jv715g>\n\nToday, we’re excited to introduce the [Recall.ai](https://www.recall.ai) **Desktop Recording SDK**. Built to simplify meeting data integration, this SDK allows you to get the recording, transcript and metadata directly within your desktop app — without the need for bots. Integrates with Electron applications in under 5 minutes to provide live data from platforms like Zoom, Google Meet, and Microsoft Teams.\n\n### **Why we built this**\n\nMany industries have strict compliance requirements that limit the use of bots, and sometimes bots may make people uncomfortable. \n\nTo address this, we developed an SDK that provides direct access to live meeting data, letting you build features that leverage this data, such as:\n\n* Lightweight note-taking\n* Speech coaching\n* Telehealth appointment recorders\n* Financial advisor calls\n* Real-time sales coaching\n\n### **Get started**\n\nCheck out the Desktop Recording SDK documentation [here](https://docs.recall.ai/docs/desktop-sdk-beta) for setup instructions and more details on how to get started.\n\nLet us know your thoughts — we’re eager to hear how the Desktop Recording SDK fits into your app and your use cases.\n\n![uploaded image](/media/?type=post&id=85723&key=user_uploads/316225/d873ac6f-9125-4204-9293-7dbd0cfcfb7b)\n\n",
        "url": "https://www.ycombinator.com/launches/MId-recall-ai-desktop-recording-sdk-access-real-time-meeting-data-without-bots",
        "votes": 20,
        "created_at": "2024-11-20T16:19:22.890Z"
      },
      {
        "id": 85172,
        "title": "Recall.ai: Output Media API - AI agents that talk in meetings 🤖",
        "tagline": "Use our Output Media API to build AI agents that join video conferences on Zoom, Meet, Teams, and Webex.",
        "body": "TLDR - [Recall.ai](https://www.recall.ai)’s Output Media API lets you build AI agents that join video conferences on Zoom, Meet, Teams, and Webex. These agents can output audio and video, listen, and respond like real participants. \n\n<https://youtu.be/YzzzqPpL47o>\n\nToday, we're excited to introduce the Output Media API. With this API, you can easily build live, interactive AI agents that can listen and react to meetings in real time. \n\n### 📈 The Problem and Solution\n\nFor developers, building AI agents have become much easier with APIs like the [OpenAI realtime API](https://openai.com/index/introducing-the-realtime-api/). The difficult part is actually getting your AI agent into a video conference. This is because there are no APIs to send and receive low-latency video streams from Zoom, MS Teams, Google Meet etc.\n\nThe solution is to use a service like [Recall.ai](https://www.recall.ai) which provides an API to create virtual participants that can join video conferences, receive the real-time data from the conference, and display the agent as a participant in the meeting. \n\n### 🤖 AI Agents as a Web App\n\nThe Output Media API works by rendering any web app into ultra-low-latency audio and video, and streaming that into your video conference through a bot.\n\nThis functionality makes it possible to develop AI agents that listen to the meeting audio and react in real-time, in just a few steps:\n\n1. Develop a webpage that listens to and reacts to audio coming from the microphone (e.g. via [getUserMedia](https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia))\n   * [Recall.ai](http://Recall.ai) sends the mixed audio of the meeting to the webpage microphone so your agent can listen to what’s being said\n2. Send a [Recall.ai](http://Recall.ai) bot to a meeting and configure it to show the webpage you developed\n\n```\n// POST /api/v1/bot/\n{\n  \"meeting_url\": \"https://us02web.zoom.us/j/1234567890\",\n  \"bot_name\": \"Recall.ai Notetaker\",\n  \"output_media\": {\n    \"camera\": {\n      \"kind\": \"webpage\",\n      \"config\": {\n        \"url\": \"https://{YOUR_WEBPAGE_URL}\"\n      }\n    }\n  }\n}\n```\n\n### 🚀 Getting Started:\n\n* Check out our [Output Media Guide](https://docs.recall.ai/docs/stream-media).\n* We’ve built 2 sample apps using Output Media, with walkthroughs of how they’re built.\n  * 💻 [Voice Agent Demo](https://github.com/recallai/voice-agent-demo) lets the bot have a conversation with meeting participants, using OpenAI’s [realtime API](https://openai.com/index/introducing-the-realtime-api/).\n  * 💻 [Real-time Translator](https://github.com/recallai/real-time-translator-demo) displays live meeting translations on screen for a spoken conversation.\n\n![uploaded image](/media/?type=post&id=85172&key=user_uploads/316225/39433a6c-c885-402b-922f-5d477117fde6)\n\n",
        "url": "https://www.ycombinator.com/launches/M9k-recall-ai-output-media-api-ai-agents-that-talk-in-meetings",
        "votes": 13,
        "created_at": "2024-10-31T03:20:30.529Z"
      },
      {
        "id": 75617,
        "title": "Recall.ai — The universal API for meeting bots",
        "tagline": "A single API for meeting bots on Zoom, Google Meet, Microsoft Teams, Slack and more.",
        "body": "Hey all!\n\nWe’re building [Recall.ai](https://www.recall.ai), a single API for you to get meeting data from Zoom, Google Meet, Microsoft Teams, Slack, and more.\n\n![uploaded image](/media/?type=post&id=75617&key=user_uploads/316225/e4c4cc37-13fb-493d-900f-fb8124655197)\n\nThe data you receive includes:\n\n* Video recording\n* Audio recording\n* Transcription\n* Participant names\n* When people spoke in the meeting\n* When people joined/left the meeting\n* When people turned their cameras on/off in the meeting\n* What device someone is joining from\n* …and 10+ more pieces of meeting data.\n\n🎥 [**Click to watch our 2 min demo**](https://www.loom.com/share/60a7500d2a8c40c3b05a88dca376107e)\n\n## The Problem\n\n* Building robust meeting bots takes 1000s of engineering hours.\n* Running the infrastructure is a big operational burden, and complicates your architecture.\n* Companies like Gong have a team of 5 engineers dedicated to running this infrastructure to be stable and scalable.\n* People are building hacky workarounds like bots that screen-record Zoom in a web browser, but this breaks frequently.\n* Some meeting platforms (eg. Google Meet, Slack) don’t even have APIs.\n\n## The Solution\n\nWe provide 1 simple API that abstracts over differences between meeting platforms (even for platforms that don’t have an API). We run, monitor, and scale the complex real-time video infrastructure - so you can focus on building your core product.\n\nThis allows our customers to get into production in a week instead of a year.\n\n## Use Cases\n\nWe work with 150+ companies today that ingest meeting data, like Grain, Apollo.io, BrightHire, Fellow, and more. Some examples of products our customers are building with Recall:\n\n* Meeting productivity tools\n* Sales conversation intelligence tools\n* Interview intelligence tools\n* User research tools\n* Customer success tools\n* Financial advisor tools\n* Virtual deposition tools\n* Meeting translation tools\n* Video editing tools\n* Edtech tools\n\n## Can I try it?\n\nYes! We’d love to have you try [Recall.ai](https://www.recall.ai). Sign up and [get started for free](https://www.recall.ai/signup).",
        "url": "https://www.ycombinator.com/launches/Jfd-recall-ai-the-universal-api-for-meeting-bots",
        "votes": 23,
        "created_at": "2023-10-18T04:13:47.733Z"
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    "id": 13520,
    "name": "borong",
    "slug": "borong",
    "former_names": [
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    "website": "https://www.borong.com/",
    "all_locations": "Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia",
    "long_description": "Our mission is to help local independent retailers find their best-sellers investors by matching them with the right supplier and brands.\r\n\r\nWe believe that today's evolution of the wholesale industry has stifled the growth of many SME businesses. The supply-chain in Malaysia and across Southeast Asia lacks meaningful real-time connectivity between suppliers and retailers. Hence we are determined to transform this industry by providing businesses the right tools to grow.\r\n\r\nOur modern, digital approach to the wholesale industry allows retailers to discover, purchase, and manage inventories for their store - all on a single marketplace platform. And our software tool for suppliers helps businesses to deal with all the pain points of growing customer database, from ordering to payments.\r\n\r\nWith our data-driven approach, we connects local, independent retailers with the right brands, distributors, and wholesalers to stock their store with the best products. This saves retailers and suppliers time and money, allowing them to focus on what's most important: building and running their business.\r\n\r\nborong is headquartered in Kuala Lumpur, Malaysia.",
    "one_liner": "borong is a SaaS-enabled marketplace that connects brands like…",
    "team_size": 80,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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    "batch": "Winter 2020",
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    "url": "https://www.ycombinator.com/companies/borong",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/borong.json",
    "year_founded": 2017,
    "city": "Kuala Lumpur",
    "country": "MY",
    "linkedin_url": "https://www.linkedin.com/company/borong-malaysia/",
    "x_url": "https://twitter.com/dropeeofficial/",
    "fb_url": "https://www.facebook.com/dropeeofficial/",
    "cb_url": "https://www.crunchbase.com/organization/dropee-com",
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    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 290144,
        "full_name": "Aizat Rahim",
        "title": "Founder",
        "founder_bio": "I am the managing director of Borong (formerly known as Dropee), a regional B2B eProcurement marketplace with embedded financing funded by YC and top VCs across various countries. Previously, I was the co-founder of Infinite Ventures (2014-2016), a venture-building company that was acquired by US Kern Technology. I also served as the director of Job4Locum, a medical job portal company, from 2014 to 2016, until MIMS acquired it. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aizatrahim/",
        "x_url": "https://twitter.com/aizath/",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c0da735bea648d943207e4f58ef90fab508fba2.jpg"
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        "id": 61440,
        "title": "Full-Stack Developer ",
        "url": "https://www.ycombinator.com/companies/borong/jobs/MzCEKdi-full-stack-developer",
        "location": "Kuala Lumpur, Federal Territory of Kuala Lumpur, MY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$24K - $40K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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        "title": "CTO",
        "url": "https://www.ycombinator.com/companies/borong/jobs/ppFEe5z-cto",
        "location": "Kuala Lumpur, Federal Territory of Kuala Lumpur, MY",
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        "role_type": null,
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        "title": "YC alum Dropee, a Malaysia B2B wholesale platform, lands $7M Series A – TechCrunch",
        "url": "https://techcrunch.com/2022/01/19/yc-alum-dropee-a-malaysia-b2b-wholesale-platform-lands-7m-series-a/",
        "date": "Jan 19, 2022"
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    "id": 13523,
    "name": "99minutos",
    "slug": "99minutos",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4707a1352fec836d973609bd19ed06185242a7ad.png",
    "website": "https://99minutos.com",
    "all_locations": "Mexico City, CDMX, Mexico; Santiago, Santiago Metropolitan Region, Chile; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru",
    "long_description": "We're an e-commerce logistics solution for e-commerce in Latin America.\r\nBuy online and receive it in less than 99 minutes, same day, next day or choose our new green delivery with zero emissions. We deliver within 52 cities in Mexico, 6 in Chile, 6 in Colombia, and 4 in Peru. Flat rate, live tracking, flexible routes, and plugins for every e-commerce.\r\n\r\n\r\n99minutos: Delivery\r\nFulfill99: Fulfillment centers\r\nRuta99: Saas for routing solutions\r\nPunto99: Pudo network",
    "one_liner": "The fastest shipping for online shopping ",
    "team_size": 5000,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1578508388,
    "tags": [
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      "Latin America",
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      "Partly Remote"
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    "stage": "Growth",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "99minutos idea came when 2 friends and I went to a hookah bar and have some beers. When we got there they told us they ran out of charcoal for the hookah, so we said “We came here for that, is there anywhere we can order and receive it now?”, that is when we realized that the concept of fast delivery for e-commerce didn’t exist not only in mexico but in the world. So next day we launched an e-commerce store called 99minutos where anything you bought there got delivered in less than 99 minutes within mexico city. A couples of months later my 2 friends left the company so i remained as solo founder and the pivot the company, got rid of the e-commerce and focused only in the delivery."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Applying to YC was game changer for our company. We applied for W20 even though the company had already 5 years up and running, at the time the company’s value was much higher than the 7% that YC gets if you enter. But at that time as Latin founder it was nearly imposible to raise more than 2M in mexico without external or US funds, so getting in was a strategy to gain traction with VC’s that had more than 2M.The batch was amazing, the group and mentors where great and we raised 5M that we needed in 3 days out of zoom calls and SAFE’s which was absolutely surreal for me. "
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We have several chats where all the companies are and everybody get’s in touch through there. Quite easy"
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started as an ecommerce 8 years ago trying to solve quick delivery but the ecommerce was the seller that we needed to offer fast delivery, the we decided to get rid of the ecommerce because it was already a market difficult to compete in. We started creating all the technological advances in a delivery experience that non of the huge delivery companies have not even today. 1 year later after creating the base for the company we received a 1M investment from a logistic consultant company…. this is a long story but to make it short we almost went bankrupt for 3 years due to this investor until in 2018 we were able to buy our shared back from them and that is when the company really kicked off. For me those 3 years were the years i most learned of my bad decisions, but it helped the company have great margins due to the fact that our investor was going bankrupt and couldn’t pay us for the sales we made. So 2018 the company grew to chile, started opening more cities and not only operating them locally but also connecting them. 2019 we tried to raise a 5M round already selling more than 5M a year and having positive ebitda, but back in 2019 there where no international investor or at least active for mexico so it was very difficult to raise money, we decided to apply to yc and got in. We raised 5M in 3 days in Safe’e something that was really new for us. 2020 we continued our growth, 2021 we raised 25M from kaszek and Prosus, opened 4 more verticals: fulfill99, ruta99, punto99 and Cash99. 2022 we raised 82M from Oak hcSo now we have operations in 4 countries, more than 70 cities combined, more than 8k employees, still growing 3X every year ."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Have a prime experience in any logistical solution from your ecommerce. At first is was just fast, cheap and reliable, when we launch the average delivery time in mexico was 12 days. Now most companies have fast delivery but 99minutos give the entire logistics circle for ecommerce so you can give your customers a amazon prime style delivery without selling in those marketplaces. Where we will handle their inventory, delivery in hours, full visibility, more drop off pick up points than all delivery companies combined, we offer cash on delivery, saas for routing tools, etc."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Being the best ecommerce logistics solution in latin america. When we succeed we will have first world solution for a 3rd world coountries."
      }
    ],
    "url": "https://www.ycombinator.com/companies/99minutos",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/99minutos.json",
    "year_founded": 2014,
    "city": "Mexico City",
    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/8061652/admin/",
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        "body": "Hey everyone, this is Ahmed, co-founder of[ Tasker AI](http://www.tasker.ai/) 👋\n\nTLDR: **Tasker AI** is your AI teammate for daily tasks – reschedule meetings, summarize emails/webpages, build mini apps, and even plan a night out — all from one place.\n\nTry it: [playground.tasker.ai](http://playground.tasker.ai)\n\n[Video](https://www.youtube.com/watch?v=U6RccsEyfgE)\n\n\\\nWe are building an AI assistant for everyday work & life. Tasker AI takes actions by completing work on your behalf. **_It's like your intern or co-worker._**\\\n\\\nTasker helps manage recurring daily tasks. That’s why we’re including unlimited email and calendar-based tasks for free to everyone🎊🎉.\n\n**The problem**\n\n* We spend 2-3 hours every day on busy work. That’s a whole month every year!\n* Context switching & burnout is a massive problem.\n* Too many tools handle tiny specific tasks, fragmenting productivity and increasing friction.\n\n**The Solution**\n\nA general-purpose agent that can handle complex tasks.\n\n**What can you do today with Tasker?**\n\nHere are some additional uses:\n\n📅 Reschedule meetings – just CC [assistant@tasker.ai](mailto:assistant@tasker.ai)\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/bdab016a-b0a8-436e-82b1-4cb776a3318d)\n\n📰 Summarize newsletters automatically\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/dd6b670d-66c6-4273-9739-6747743580a1)\n\n\\\n🌐 Summarize or automate tasks from any webpage with our browser extension\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/de49a181-b8b7-4c00-9698-38bcbbc7da74)\n\n📄 Build a landing page (with editable Google Sheet backend) – perfect for waitlists or microsaas\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/420fa23f-c2a5-43ee-bea4-34276f14d235)\n\nAnd much more!\n\nWhat other things could it do?\n\n🛍 Turn a recipe video into a shopping list\\\n🔁 Schedule recurring tasks like event searches\\\n✅ Putting the ingredients from a recipe video into a shopping cart; and\n\n🍽 Plan an entire date night – from Uber to OpenTable to movie tickets – in one go by connecting those apps.\\\n⚙️ Deep integration with Google Apps – build light-weight apps without writing code.\n\n**Our Ask**\n\nTry Tasker out today[ ](https://playground.tasker.ai/)[playground.tasker.ai](http://playground.tasker.ai) 👏\n\nLearn more at [tasker.ai](http://tasker.ai) & follow us on [X](https://x.com/TaskerHQ).\n\nYou can see some use cases in action in our Reddit community: https://www.reddit.com/r/TaskerAI/\n\nWe are still collecting feedback. If you try something and it doesn't work like you think it should, please tell us, and we will work with you to make your use case work.",
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        "experience": "Any (new grads ok)",
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        "skills": []
      },
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        "title": "Principal Solutions Delivery Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/HzXsmh6-principal-solutions-delivery-manager",
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      {
        "id": 115051,
        "title": "Enterprise Account Executive - Central",
        "url": "https://www.ycombinator.com/companies/zip/jobs/R811LbH-enterprise-account-executive-central",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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      {
        "id": 115053,
        "title": "Director of Corporate Finance",
        "url": "https://www.ycombinator.com/companies/zip/jobs/cYePei4-director-of-corporate-finance",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "equity_range": "",
        "experience": "5+ years",
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      {
        "id": 115054,
        "title": "Technical Integrations Consultant ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/58aTMrA-technical-integrations-consultant",
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        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
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      {
        "id": 115055,
        "title": "Senior Software Engineer, Developer Platform",
        "url": "https://www.ycombinator.com/companies/zip/jobs/tNObB0c-senior-software-engineer-developer-platform",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 115056,
        "title": "Customer Success Manager - Technical Account Management",
        "url": "https://www.ycombinator.com/companies/zip/jobs/XgE6gtg-customer-success-manager-technical-account-management",
        "location": "New York City",
        "type": "Full-time",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 115057,
        "title": "Customer Success Manager - Technical Account Management",
        "url": "https://www.ycombinator.com/companies/zip/jobs/WDf0zXJ-customer-success-manager-technical-account-management",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Support",
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        "salary_range": "",
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        "experience": "5+ years",
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        "skills": []
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        "id": 115058,
        "title": "Customer Success Manager - Technical Account Management",
        "url": "https://www.ycombinator.com/companies/zip/jobs/lSPTwjw-customer-success-manager-technical-account-management",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Support",
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        "experience": "5+ years",
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        "id": 115059,
        "title": "Strategic Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kU0TEcZ-strategic-account-executive",
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        "type": "Full-time",
        "role": "Operations",
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        "id": 115060,
        "title": "Software Engineer, Backend (All Levels)",
        "url": "https://www.ycombinator.com/companies/zip/jobs/cCeVaxi-software-engineer-backend-all-levels",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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        "skills": []
      },
      {
        "id": 115061,
        "title": "Software Engineer, Backend (All Levels)",
        "url": "https://www.ycombinator.com/companies/zip/jobs/rnsb5EY-software-engineer-backend-all-levels",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115062,
        "title": "Strategic Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/cKUsVn1-strategic-account-executive",
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        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
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      {
        "id": 115063,
        "title": "Principal Solutions Delivery Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ym2obKi-principal-solutions-delivery-manager",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "8+ years",
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        "id": 115064,
        "title": "Account Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/LBtdKar-account-manager",
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        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 115065,
        "title": "Business Development Representative - German Speaking",
        "url": "https://www.ycombinator.com/companies/zip/jobs/fL0q4PO-business-development-representative-german-speaking",
        "location": "London",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115066,
        "title": "Senior Solution Engineer (Pre-Sales)",
        "url": "https://www.ycombinator.com/companies/zip/jobs/Xm4czJM-senior-solution-engineer-pre-sales",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115067,
        "title": "Principal Product Manager, Global Payments Platform and Controls",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kjgLUxk-principal-product-manager-global-payments-platform-and-controls",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
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        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115068,
        "title": "Principal Product Manager, Global Payments Platform and Controls",
        "url": "https://www.ycombinator.com/companies/zip/jobs/4Ze6HKw-principal-product-manager-global-payments-platform-and-controls",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
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        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115069,
        "title": "Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/zip/jobs/JzaWi5e-technical-recruiter",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115070,
        "title": "Software Engineer, Core Infrastructure (Mid-Senior level) ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/eLHVZV0-software-engineer-core-infrastructure-mid-senior-level",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115071,
        "title": "Commercial Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/0IcReEF-commercial-account-executive",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115072,
        "title": "Senior Technical Support Engineer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/P6FzWbR-senior-technical-support-engineer",
        "location": "Australia",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115073,
        "title": "Workplace Operations Specialist - UK (Contract)",
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        "location": "London",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115074,
        "title": "Senior Technical Enablement Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/3VeFjDM-senior-technical-enablement-manager",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115075,
        "title": "Commercial Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/8RW4ewG-commercial-account-executive",
        "location": "New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115076,
        "title": "Business Development Representative - French Speaking",
        "url": "https://www.ycombinator.com/companies/zip/jobs/85mypJW-business-development-representative-french-speaking",
        "location": "London",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115077,
        "title": "Senior Technical Enablement Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/hdED6zM-senior-technical-enablement-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115078,
        "title": "Senior Manager, Commercial Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/IMO4nuu-senior-manager-commercial-sales",
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        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115079,
        "title": "Business Operations Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/uJarX7a-business-operations-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115080,
        "title": "Senior ERP Solutions Consultant ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/y2NDO59-senior-erp-solutions-consultant",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115081,
        "title": "Technical Solutions Consultant - AUS",
        "url": "https://www.ycombinator.com/companies/zip/jobs/W4aJyjT-technical-solutions-consultant-aus",
        "location": "Sydney",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115082,
        "title": "Senior Software Engineer, Developer Platform",
        "url": "https://www.ycombinator.com/companies/zip/jobs/TpHIETh-senior-software-engineer-developer-platform",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115084,
        "title": "Solution Integrations Architect - Oracle ",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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      {
        "id": 115085,
        "title": "Solutions Integration Architect - SAP Ariba",
        "url": "https://www.ycombinator.com/companies/zip/jobs/He4tCmj-solutions-integration-architect-sap-ariba",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115086,
        "title": "Solutions Integration Architect - SAP",
        "url": "https://www.ycombinator.com/companies/zip/jobs/sucnx2Y-solutions-integration-architect-sap",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "id": 115087,
        "title": "Software Engineer, Core Infrastructure (Mid-Senior level) ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kGrxxcy-software-engineer-core-infrastructure-mid-senior-level",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115088,
        "title": "Enterprise Architect",
        "url": "https://www.ycombinator.com/companies/zip/jobs/lxQWpuQ-enterprise-architect",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115089,
        "title": "Principal Product Manager, AI",
        "url": "https://www.ycombinator.com/companies/zip/jobs/SIgnRMD-principal-product-manager-ai",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115091,
        "title": "Solution Architect - Oracle",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kUWHhwd-solution-architect-oracle",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115092,
        "title": "Solutions Integration Architect - SAP Ariba",
        "url": "https://www.ycombinator.com/companies/zip/jobs/1p1RcKw-solutions-integration-architect-sap-ariba",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115095,
        "title": "Marketing Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/Bljjhn6-marketing-development-representative",
        "location": "London",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115096,
        "title": "Senior Solutions Consultant - Project Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/LRJJVpx-senior-solutions-consultant-project-manager",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115097,
        "title": "VP, Namer Strategic Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/68oxhZO-vp-namer-strategic-sales",
        "location": "New York City / Remote - Jacksonville / Remote - Washington DC / Remote - Philadelphia / Remote - Charlotte / Remote - Atlanta / Remote - Boston",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115099,
        "title": "Senior Product Designer, Global Payments",
        "url": "https://www.ycombinator.com/companies/zip/jobs/gDwTlH3-senior-product-designer-global-payments",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115100,
        "title": "Head of Business Data",
        "url": "https://www.ycombinator.com/companies/zip/jobs/gWrQrPH-head-of-business-data",
        "location": "San Francisco / New York City",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115101,
        "title": "Solutions Director",
        "url": "https://www.ycombinator.com/companies/zip/jobs/4iosHNt-solutions-director",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115102,
        "title": "Marketing Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/DsIVEpP-marketing-development-representative",
        "location": "Australia",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115103,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/HnfwJWS-enterprise-account-executive",
        "location": "Remote - Dallas / Remote - Houston / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "title": "Swif: Solve Shadow IT with our Chrome extension",
        "tagline": "Gain full control over Shadow IT—track, secure, and manage unauthorized apps with ease using Swif's Chrome Extension.",
        "body": "![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/554bc23e-0c52-44e5-b8e5-d956361fc467)\n\nHey, YC community! We’re the team at [Swif](https://www.swif.ai?utm_source=yclaunch), and we're excited to introduce our **Swif Chrome Extension**, designed to solve the growing issue of Shadow IT in organizations. As businesses scale, it's easy for employees to start using unauthorized SaaS apps, creating security and compliance risks that IT teams struggle to monitor.\n\n**What’s the problem?** Shadow IT refers to apps and services used by employees without IT’s knowledge or approval. This often leads to unmonitored data access, increasing the risk of breaches, non-compliance, and lost productivity. Even well-managed IT teams find it hard to track all software being used across departments.\n\n**How does Swif’s Chrome Extension fix this?** Our Chrome Extension helps you automatically identify and monitor employee access to unauthorized SaaS apps. With **real-time visibility**, Swif detects email and password sign-ups to unapproved apps, enabling IT teams to track usage, ensure compliance, and take action quickly—before a security risk escalates. The extension fits seamlessly into your existing IT workflow, providing a single dashboard for comprehensive oversight.\n\nSwif’s strength lies in its automation. Instead of manually hunting down unapproved apps, our extension monitors usage, generates compliance reports, and offers automated solutions for securing access. This gives you control without adding complexity, saving both time and resources.\n\n![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/13b44543-ebbc-4d61-ad14-5dd5150a1dd1)\n\n**Why did we build it?** The idea came from our experience working with companies overwhelmed by Shadow IT problems. We saw firsthand how much of a challenge it is to maintain visibility over what employees are using, especially in remote and hybrid work environments. Our mission was to create a tool that does the heavy lifting for IT departments, making it easier to manage without sacrificing security or efficiency.\n\n**What’s next?** We’re excited to offer early access to the Swif Chrome Extension! If you’re managing a fleet of devices or overseeing IT security, sign up to be among the first to try our solution and take control of Shadow IT.\n\n**Call to Action**: Ready to tackle Shadow IT? [Create a Swif account](https://app.swif.ai/chromeextension?utm_source=yclaunch), download the extension, and start managing your apps with ease!",
        "url": "https://www.ycombinator.com/launches/Lrx-swif-solve-shadow-it-with-our-chrome-extension",
        "votes": 6,
        "created_at": "2024-09-17T02:14:17.061Z"
      },
      {
        "id": 70930,
        "title": "Swif.ai - Compliance-First Device Security",
        "tagline": "The YC's Get Start Package for MDM & Compliance Automation",
        "body": "### **⛔️The problem**\n\n1. Fragmented device management across multiple operating systems and locations.\n2. Time-consuming manual compliance checks and reporting for various regulatory standards.\n3. Inefficient onboarding and offboarding processes for remote and global teams.\n4. Lack of visibility into shadow IT and unauthorized SaaS application usage.\n\n### **🚀The solution**\n\n[Swif.ai](http://Swif.ai) offers a comprehensive solution for device security, compliance management, and IT administration across Linux, Windows, and macOS. It automates patch management for various compliance frameworks, provides real-time compliance status reports, and enables remote device control. Swif's all-in-one platform integrates with HR systems, simplifying employee onboarding and offboarding processes while offering cost-effective access management compared to traditional SSO solutions.\n\n**Customer Benefits**\n\n1. Unified visibility and control over all organizational devices, regardless of operating system or location.\n2. Significant time savings through automated compliance readiness checks and real-time reporting.\n3. Enhanced security posture with the ability to instantly lock or wipe compromised devices remotely.\n4. Reduced IT overhead by consolidating device management, access control, and compliance tools into a single platform.\n\n### **🛠️How it works**\n\nThe setup is extremely easy. Here is 1 min get started video.\n\n![uploaded image](/media/?type=post&id=70930&key=user_uploads/28055/12d9aeea-cdbe-4734-a6d9-441a31135956)\n\n### **✅Our asks**\n\n* Check out our [**website**](https://www.swif.ai) – play around with our **interactive demo**\n* [**Sign up**](https://app.swif.ai/) and use Swif — it’s free.\n* [**Reach out**](https://www.swif.ai/) if you’re interested in a live demo",
        "url": "https://www.ycombinator.com/launches/IS2-swif-ai-compliance-first-device-security",
        "votes": 17,
        "created_at": "2023-04-13T00:24:25.556Z"
      },
      {
        "id": 66625,
        "title": "Swif - One-stop device management and security",
        "tagline": "Order, equip, manage your devices for your distributed teams",
        "body": "Hello, everyone! This is [Angelo](https://www.linkedin.com/in/angelokh/) here to introduce [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch)!\n\n❌ **The Problem**\n\nIn my last startup LeadIQ, I managed 2 remote teams in the US and Singapore. It was really painful to manage devices and cloud app access for employees in different locations. We wanted a better understanding of company devices and employee’s cloud app access, and we used a giant Excel sheet to solve this problem, only to find that the solution can not scale. We took time to find solutions to set up, configure, and then discover that the capabilities of each solution were incomplete or buggy. Companies were wasting money and time. The challenges were real, painful and increased company risks. Employee onboarding and offboarding were a nightmare.\n\n✨ **Our Solution**\n\nSwif helps distributed teams manage their devices, purchase new ones, and retrieve them when employees leave the company. \n\n![uploaded image](/media/?type=post&id=66625&key=user_uploads/28055/4b87f21a-cf0d-4381-b7ba-286c4c293b40)\n\nWhy do we need a new solution for device management?\n\nYou might work in California but have team members distributed in Texas, New York, Paris, and Singapore. Things like these might occur to you:\n\n1. Sending, retrieving, and storing devices for remote teams is painful. \n2. Losing data for security risks could keep you up at night.\n3. Employee data is across multiple platforms, eg. Gusto and Deel, and have no audit trails of who owns which devices.\n\n👉 **Next steps**\n\n1. Sign up for [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch) and subscribe with promo code ‘ycdeal’ to enjoy one-year free premium features.\n2. Import your employees from your HRIS. We currently support 30 HRIS connections!\n3. Follow the Quick Start to set up your system to enroll devices and link us to your Apple business manager.\n\nWant to start taking control of your remote fleet? \n\nVisit us at <https://www.swif.ai> or reach out to us at [support@swif.ai](https://mailto:support@swif.ai).",
        "url": "https://www.ycombinator.com/launches/HKb-swif-one-stop-device-management-and-security",
        "votes": 32,
        "created_at": "2022-10-11T17:09:59.715Z"
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    "name": "Humanloop",
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    "long_description": "Humanloop is the LLM evals platform for enterprises. Teams at Gusto, Vanta and Duolingo use Humanloop to ship reliable AI products. We enable you to adopt best practices for prompt management, evaluation and observability.",
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        "full_name": "Raza Habib",
        "title": "Founder",
        "founder_bio": "Ex-MonolithAI and Google. ML PhD @ UCL and MSc in Physics @ Cambridge.",
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        "full_name": "Jordan Burgess",
        "title": "Founder",
        "founder_bio": "Cofounder at Humanloop. Machine Learning and Engineering at Cambridge and MIT.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jordanburgess/",
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        "full_name": "Peter Hayes",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO @Humanloop. Previously Co-founder @Certua. ML PhD at UCL and BSc Mathematics at Trinity.\n",
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        "linkedin_url": "https://www.linkedin.com/in/peter-hayes-2366591a4/",
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        "title": "How our AI Startup Grew 60x After a Pivot | Raza Habib, Jordan Burgess of Humanloop - YouTube",
        "url": "https://www.youtube.com/watch?v=TlUZrm2jlCw",
        "date": "Mar 17, 2024"
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        "title": "Humanloop: Providing picks and shovels for the AI gold rush",
        "url": "https://www.siliconrepublic.com/start-ups/humanloop-generative-ai-startup-paul-hayes-raza-habib-london-san-francisco",
        "date": "Feb 05, 2024"
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        "title": "21 generative AI startups to watch, according to investors | Sifted",
        "url": "https://sifted.eu/articles/21-generative-ai-startups-to-watch-according-to-investors",
        "date": "Aug 14, 2023"
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        "url": "https://www.youtube.com/watch?v=EKKJrRWOU30&t=1s&pp=ygUJaHVtYW5sb29w",
        "date": "Mar 29, 2023"
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        "url": "https://www.youtube.com/watch?v=hQC5O3WTmuo&t=778s&pp=ygUJaHVtYW5sb29w",
        "date": "Mar 01, 2023"
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    "name": "Arist",
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    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Arist is the only message-based learning platform. \r\n\r\nWe help over 10% Fortune 500 companies and governments rapidly teach and train employees, entirely via messaging tools like SMS, Slack, WhatsApp and Microsoft Teams.",
    "one_liner": "Deliver effective learning at scale ",
    "team_size": 23,
    "industry": "B2B",
    "subindustry": "B2B",
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    "tags": [
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    "url": "https://www.ycombinator.com/companies/arist",
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    "year_founded": 2019,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aristu",
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    "github_url": "https://github.com/aristco",
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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        "full_name": "Michael Ioffe",
        "title": "Founder",
        "founder_bio": "Michael is the co-founder and CEO of Arist, the AI sales enablement platform used by Microsoft, HP, Eli Lilly, etc. Michael is a Thiel Fellow.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michaelaioffe/",
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        "full_name": "Ryan Laverty",
        "title": "Founder",
        "founder_bio": "Ryan Laverty is the founder of Arist. Prior to Arist, Ryan ran a public speaking coaching and training company.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ryan-laverty/",
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        "date": "Jul 12, 2022"
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    "name": "Cradle",
    "slug": "cradle",
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    "website": "https://www.cradlefinance.com",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Cradle is a B2B payments network in India that lets small businesses collect online payments from other businesses for free.",
    "one_liner": "B2B payments network in India",
    "team_size": 2,
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    "subindustry": "B2B -> Retail",
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    "name": "ClearMix",
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    "long_description": "Our platform connects expert producers with guests to record marketing videos remotely from anywhere - videos are produced 4x faster and at 10x lower cost.",
    "one_liner": "On-Demand, Fully-Remote Marketing and Sales Video Production Platform",
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        "full_name": "Gabe Ruttner",
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        "full_name": "Tomer Dorfan",
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        "full_name": "Akshay Ramaswamy",
        "title": "Founder",
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    "one_liner": "Business-in-a-Box™ for LLCs",
    "team_size": 43,
    "industry": "B2B",
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    "launched_at": 1614820150,
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    "founders": [
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        "full_name": "Arjun Mahadevan",
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        "founder_bio": "CEO @doolaHQ (YC S20) | Helping 1M people start their dream biz with doola.com (a “business-in-a-box” for LLCs) | Slowly turning into my alter ego: Mr. LLC 🇺🇸",
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        "title": "Pitch Us on a Role",
        "url": "https://www.ycombinator.com/companies/doola/jobs/cmnbzur-pitch-us-on-a-role",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 70268,
        "title": "Bookkeeper (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/doola/jobs/EiVa7yS-bookkeeper-bangalore-india",
        "location": "Bangalore / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "",
        "equity_range": "",
        "experience": "",
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        "title": "CPA, Tax Professional (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/doola/jobs/nqtfSsq-cpa-tax-professional-bangalore-india",
        "location": "Bangalore",
        "type": "Full-time",
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        "experience": "",
        "visa": "US citizen/visa only",
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        "id": 70270,
        "title": "Tax Preparer (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/doola/jobs/JIGwcQ0-tax-preparer-bangalore-india",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "",
        "visa": "US citizen/visa only",
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        "title": "Bookkeeper (Client Success)",
        "url": "https://www.ycombinator.com/companies/doola/jobs/o7evMBB-bookkeeper-client-success",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$55K - $80K",
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        "experience": "3+ years",
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        "title": "Account Management Team Lead",
        "url": "https://www.ycombinator.com/companies/doola/jobs/yriS1CQ-account-management-team-lead",
        "location": "Remote in Philippines / Remote (US)",
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        "id": 76463,
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      {
        "title": "Doola nurses new capital for its ‘business in a box’ tool targeting global founders • TechCrunch",
        "url": "https://techcrunch.com/2022/11/08/doola-nurses-new-capital-for-its-business-in-a-box-tool-targeting-global-founders/",
        "date": "Nov 08, 2022"
      },
      {
        "title": "The New Doola Company Formation API Could Help Manage An Influx of U.S. LLC, DAO LLC, and C Corp Incorporations",
        "url": "https://www.ibtimes.com/new-doola-company-formation-api-could-help-manage-influx-us-llc-dao-llc-c-corp-3488864",
        "date": "Apr 28, 2022"
      },
      {
        "title": "Doola raises $3M to help global founders launch an LLC in the US – TechCrunch",
        "url": "https://techcrunch.com/2021/11/15/doola-raises-3m-to-help-global-entrepreneurs-launch-an-llc-in-the-u-s/",
        "date": "Nov 15, 2021"
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    ],
    "launches": [
      {
        "id": 100594,
        "title": "doola MCP + API for US LLC Formation",
        "tagline": "Start a business from inside Claude, Replit or your platform via our API.",
        "body": "Hey everyone,\n\nArjun here, CEO of doola (YC S20).\n\nWe just launched the doola MCP and wanted to share it with the YC community.\n\n**What we built:** You can now start a Wyoming LLC inside Claude or Replit without leaving the platform. An AI agent collects the required information, passes it to our formation API, and hands the founder off to complete payment on doola.\n\n**We are the first business formation and compliance platform to offer LLC formation via the Model Context Protocol standard**.\n\n![uploaded image](/media/?type=post&id=100594&key=user_uploads/306058/50d183f0-47b7-4600-94b9-bd9e44f1deb3)\n\n**Why we did this now:** A few months ago, I posted here when we opened our Formation API. We received 20+ inbound partnership messages from that post alone. The appetite for callable formation infrastructure is real and growing fast. MCP felt like the right next step.\n\n![uploaded image](/media/?type=post&id=100594&key=user_uploads/306058/004ae590-12e6-4034-a962-2134cf65b54a)\n\nThe API + MCP we have built can now empower businesses of all types and sizes to **offer whitelabeled US LLC formation and ongoing compliance at scale, fully powered by doola.** This now allows companies to use the tech we’ve built to:\n\n* Streamline operations and outsource formations and filings to doola’s automation.\n\n\n* Drive new revenue streams by offering a new product to your customer base (white-labeled or powered by doola).\n\nWe’re excited to continue empowering founders across the globe to turn their dream idea into their dream US businesses.\n\n**Ask: If you're at a company considering embedding LLC formation or compliance infrastructure into your product, I'd love to talk. We’re actively onboarding new partners (more info below in PS on how to get in touch).**\n\nWe’ve helped 15,000+ founders across 175+ countries start U.S. LLCs. MCP is what the future of LLC formation looks like in an agentic world.\n\nHappy to answer any questions here.\n\nLets doola it ⚡\n\nPS: If you’d like to partner with us to offer formation in your platform via MCP or API, please email me at [arjun@doola.com](mailto:arjun@doola.com) or you can grab some time to chat and [learn more about accessing our MCP + Formation API here.](https://www.doola.com/business-solutions/company-formation-api/)",
        "url": "https://www.ycombinator.com/launches/QAU-doola-mcp-api-for-us-llc-formation",
        "votes": 5,
        "created_at": "2026-04-30T14:42:12.425Z"
      },
      {
        "id": 93361,
        "title": "doola: AI Co-Founder",
        "tagline": "The First AI Business-in-a-Box™ for E-Commerce Entrepreneurs",
        "body": "[doola: AI Co-Founder](https://www.youtube.com/watch?v=63utsvP5Hx8&t=1s)\n\nIntroducing doola’s [AI Co-Founder](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025), the first intelligent partner built for global e-commerce entrepreneurs that cuts back-office work from hours per week to just minutes. So you can focus on building your brand and making sales.\n\n![uploaded image](/media/?type=post&id=93361&key=user_uploads/306058/df83bf9e-c5f7-4708-8d34-e5064c8fb5a6)\n\nGlobal e-commerce entrepreneurs were telling us the same story. That starting a Shopify or Amazon store is easy, but running and managing one is overwhelming.\n\nThat’s why we built [doola's AI Co-Founder](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025), the intelligent partner that takes care of your back-office tasks.\n\n![uploaded image](/media/?type=post&id=93361&key=user_uploads/306058/4cb6bc40-e222-49fd-96c6-0cdf662db309)\n\nE-Commerce entrepreneurs don’t want ten browser tabs and five service providers. They want one trusted partner who gets the job done. Our [AI Co-Founder](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025) is your business partner that never sleeps, is available 24/7, fluent in 175+ countries’ unique challenges, and gets smarter with every interaction.\n\n**What AI Co-Founder Delivers Today**\n\nUnlike generic chatbots, [AI Co-Founder is built for e-commerce entrepreneurs](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025) and automates tasks that usually drain founders' time:\n\n* **Banking & Payments:** Helps founders globally set up U.S. accounts and Shopify Payments quickly.\n* **Compliance & Filings:** Tracks state deadlines and fees, sending reminders before obligations are due.\n* **Bookkeeping & Accounting:** Advises on accounting methods and expense categorization to keep your books clean.\n\n**U.S. Tax Guidance:** Explains filing requirements based on a founder's home country and U.S. business structure.\n\n![uploaded image](/media/?type=post&id=93361&key=user_uploads/306058/01ea07eb-326f-4160-9c00-076b598a7e29)\n\ndoola isn’t just a formation service. We’re building the first [AI Business-in-a-Box™ for E-Commerce](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025).\n\nOur AI Co-Founder is the first step toward an intelligent, automated back-office that works for you, so you can focus on what you do best, while doola handles the rest.",
        "url": "https://www.ycombinator.com/launches/OHp-doola-ai-co-founder",
        "votes": 11,
        "created_at": "2025-08-27T14:02:51.947Z"
      },
      {
        "id": 89198,
        "title": "doola: Business-in-a-Box™ for E-Commerce",
        "tagline": "Your E-Commerce back office. Simplified.",
        "body": "[Introducing Business-in-a-Box™: The Back Office of E-Commerce is Finally Here](https://youtu.be/OROIndmHTQw?si=HIDSwQhQHiQj2RjB)\n\nThe front end of E-Commerce is Shopify and Amazon. The back-end has been fragmented and missing… until now.\n\nToday is one of the most important days in doola's history.\n\nWe're launching [doola Business-in-a-Box™ for E-Commerce](https://www.doola.com/?utm_source=yc&utm_medium=social&utm_campaign=businessinabox&htrafficsource=yc&el=doola_yc) - the first solution that brings the entire back-end of E-Commerce into one place.\n\n![uploaded image](/media/?type=post&id=89198&key=user_uploads/306058/15876394-8954-4de9-9cd4-6ef713e518e8)\n\n## E-Commerce Do'ers, you know the struggle:\n\n* Entity formation, compliance, and multi-state tax rules\n* Bookkeeping and financials that ensure you don't overpay the IRS\n* Business analytics to understand profitability across all your channels\n\nFor too long, you've been forced to stitch together a back-end solution from fragmented services, thinking that's just the way it had to be.\n\nWe built the solution E-Commerce founders deserve.\n\n## With doola, you get:\n\n✅ LLC formation and business banking set up the right way from day one\n\n✅ Bookkeeping and tax filings are handled (by humans) so you don't leave money on the table\n\n✅ Initial sales tax registration and reseller certificate? We got you covered.\n\n✅ Business analytics integrated to track profits across Shopify, Amazon, and beyond\n\n## Why this matters:\n\n* E-Commerce is exploding—online sales will surpass $6 trillion globally in 2025\n* Founders don't want five different vendors to manage their back-end\n* You should be focused on selling and scaling—not juggling compliance tasks\n\nThe best part? No U.S. Social Security Number is required. We've already helped 10,000+ entrepreneurs from 175+ countries turn their E-Commerce dreams into reality and scale to 7 figures and beyond.\n\n![uploaded image](/media/?type=post&id=89198&key=user_uploads/306058/9e1a4c84-9bfb-434a-85f1-c72c6efd480a)\n\nEverything you need is now in one place, [built specifically for E-Commerce.](https://www.doola.com/?utm_source=yc&utm_medium=social&utm_campaign=businessinabox&htrafficsource=yc&el=doola_yc) All the unsexy yet critical and required things you need to do—doola takes care of them for you.\n\nStop managing back-end tasks manually. Focus on what you do best while doola handle the rest.\n\n[Schedule a demo today.](https://www.doola.com/?utm_source=yc&utm_medium=social&utm_campaign=businessinabox&htrafficsource=yc&el=doola_yc)\n\nLet's doola this ⚡️",
        "url": "https://www.ycombinator.com/launches/NCg-doola-business-in-a-box-for-e-commerce",
        "votes": 11,
        "created_at": "2025-04-02T12:31:18.046Z"
      },
      {
        "id": 84459,
        "title": "doola White Label Bookkeeping and Tax API",
        "tagline": "Add bookkeeping and tax filings to your product suite via API.",
        "body": "Hey everyone! 👋\n\nWe’re excited to announce the expansion of our API offerings to the YC community with the launch of the doola White Label Bookkeeping and Tax API. 🎉\n\nAt doola, we’ve always been on a mission to empower entrepreneurs to run their US business seamlessly, no matter where they are in the world. \n\nIt all started with our [**Company Formation API**](https://www.doola.com/business-solutions/company-formation-api/?utm_source=launchyc&utm_medium=listing&utm_campaign=formationapi): a solution designed to help founder s launch their US companies in minutes, fully remote, and hassle-free. Our API enabled platforms to offer a seamless US company formation experience, outsourcing all the filings and compliance to doola's automation — and unlocking new revenue streams for those platforms.\n\n![uploaded image](/media/?type=post&id=84459&key=user_uploads/306058/c0bc5c09-1648-47f8-9395-bbc8bcadb7a6)\n\nBut our vision didn’t stop at formation.\n\nToday, we’re excited to build on that foundation with our new [**White Label Bookkeeping and Tax API**](https://doola.com/bookkeeping/white-label-bookkeeping-tax-api?utm_source=launchyc&utm_medium=listing&utm_campaign=bookkeepingtaxapi), allowing platforms to offer not just company formation but also ongoing bookkeeping, financial statements, and tax compliance services, fully powered by doola.\n\n![uploaded image](/media/?type=post&id=84459&key=user_uploads/306058/2dca792c-361f-499f-9010-ca14df3d7bcf)\n\nHere’s what the API can do for you:\n\n⚙️ **Streamline Operations**: Automate formation, bookkeeping, and tax compliance for your users, simplifying their back-office needs from start to finish — all while we handle the complexities.\n\n📈 **Unlock New Revenue Opportunities**: Whitelabel doola’s comprehensive services or integrate them into your platform, giving your customers a full-suite solution and adding new revenue streams to your business. \n\nImagine your platform being the place where users can form their US LLCs, stay compliant, and handle all their bookkeeping and tax filings, without lifting a finger. Whether you're helping e-commerce sellers, SaaS entrepreneurs, or creators, our API equips you to offer this seamlessly.\n\n**Interested in partnering with doola?**\n\n[Talk to our team today](https://doola.com/bookkeeping/white-label-bookkeeping-tax-api), and let's team up to help more founders start, run, and grow their dream businesses.",
        "url": "https://www.ycombinator.com/launches/LyF-doola-white-label-bookkeeping-and-tax-api",
        "votes": 6,
        "created_at": "2024-10-02T15:11:11.664Z"
      },
      {
        "id": 78385,
        "title": "💸 doola Money - Start an LLC, store $USD, and move money globally in minutes",
        "tagline": "We empower global founders by helping them set up a US business without handling any complex paperwork.",
        "body": "Hey everyone! 👋\n\nWe’re thrilled to announce doola’s new fintech product for global entrepreneurs, which is now open to the YC community.\n\n![uploaded image](/media/?type=post&id=78385&key=user_uploads/306058/da2575af-7711-44ef-9f55-536803a6edab)\n\nAt doola, our mission is to empower global founders by helping them set up a US business without handling any complex paperwork.\n\nIn addition to business formation and tax compliance, doola’s new product will now allow global businesses and founders to deposit $USD and move money internationally from any continent, with no US Social Security Number required.\n\ndoola Money is a payment account that enables users to do a few things, including:\n\n* depositing and storing US dollars\n* making ACH and wire payments in the US\n* send money internationally using FX or currency exchange transactions\n* use your doola Money account for payouts from processors like Stripe or PayPal\n\nWhether you’re a seasoned entrepreneur or a first-time business owner, doola Money opens doors to international transactions without the hassles of social security numbers or credit histories.\n\nWe’re excited to continue empowering founders across the globe to turn their dream idea into their dream US businesses.\n\nYC companies can get early access to [doola Money](https://doola.com/money) today! 🚀\n\nYou can read and watch all about how to use doola Money here on [doola University](https://www.doola.com/university/a-guide-to-using-doola-money/).\n\nYou can check us out on [Product Hunt](https://www.producthunt.com/posts/doola-money).\n\nAnd you can see the coverage on social here ([LinkedIn](https://www.linkedin.com/posts/mahadevanarjun_doolas-biggest-announcement-of-the-year-activity-7163166871607840768-L5ZO?utm_source=share&utm_medium=member_desktop) | [Twitter](https://twitter.com/ArjunMahadevan/status/1757403567294435728?s=20)).",
        "url": "https://www.ycombinator.com/launches/KOH-doola-money-start-an-llc-store-usd-and-move-money-globally-in-minutes",
        "votes": 7,
        "created_at": "2024-02-13T15:33:58.929Z"
      },
      {
        "id": 67380,
        "title": "doola Company Formation API 🔮",
        "tagline": "Create a US company from the command line and unlock a new revenue stream.",
        "body": "Hey everyone! 👋\n\nWe’re excited to open our [Company Formation API](https://www.doola.com/company-formation-api?utm_source=launchyc&utm_medium=listing&utm_campaign=formationapi) up to the YC community. 🥳\n\nAt doola, our mission is to help anyone turn their dream idea into their dream US business from anywhere in the world. To enable this for founders meant handling all the complex paperwork — something we spent hours manually filing forms with the state and IRS.\n\nThere had to be a better way. So we built a Formation API in-house. Today, we can file companies with the state in minutes upon receiving information from a founder. And we can do this for founders, 100% remotely, from anywhere in the world.\n\n![uploaded image](/media/?type=post&id=67380&key=user_uploads/306058/5cf78b55-cc08-4719-96e1-e41eb621a5c8)\n\nThe API we have built can now empower businesses of all types and sizes to offer US company formation and ongoing compliance at scale, fully powered by doola.\n\nThis now allows companies to use the tech we’ve built to:\n\n* ⚙️ Streamline operations and outsource formations and filings to doola’s automation.\n* 📈 Drive new revenue streams by offering a new product to your customer base (white-labeled or powered by doola).\n\nWe’re excited to continue empowering founders across the globe to turn their dream idea into their dream US businesses.\n\nYC companies can [access our API today,](https://www.doola.com/company-formation-api) and be sure to read through our [API docs](https://www.doola.com/company-formation-api) as well! 🚀\n\nYou can read all about how we’re building our API [here](https://www.doola.com/blog/doola-company-formation-api) on our company blog.",
        "url": "https://www.ycombinator.com/launches/HWm-doola-company-formation-api",
        "votes": 44,
        "created_at": "2022-11-17T14:26:22.378Z"
      },
      {
        "id": 67114,
        "title": "doola Banking",
        "tagline": "A new way for LLCs to bank and build credit in the US",
        "body": "Hey everyone! 👋\n\nWe’re so excited to share the launch of [doola Banking](https://www.producthunt.com/posts/doola-banking)! 🏦\n\n[doola](https://www.doola.com) helps global entrepreneurs form U.S. LLCs and DAO LLCs by supporting customers through the incorporation process so they can confidently collect payments, build credibility, stay legal, and make more money.\n\nTo date, doola has provided company formation, an EIN, a U.S. address, access to U.S. payments, tax consultations, U.S. tax support, $50,000 in startup perks, and today…\n\n… access to a US business bank account.\n\n![uploaded image](/media/?type=post&id=67114&key=user_uploads/306058/0cdb4068-a0de-4d8e-99ef-62def675c5c4)\n\n**We’re essentially enabling a new way for LLCs to bank and build credit in the US.**\n\nOur strategy is to deliver a seamless experience to help businesses on their path to growth. We’re engaging our customers with personalized insights, timely recommendations, cash management, team management, account tracking, and financial content, all to optimize daily financial operations — using the superpowers of a feature-rich digital bank.\n\n![uploaded image](/media/?type=post&id=67114&key=user_uploads/306058/db2e4e4f-2497-42bf-bd1e-ed92dd9e4f13)\n\nWe are now an all-in-one platform to:\n\n* 🗂 Register your US LLC or DAO LLC\n* 🏦 Open your US bank account\n* ✅ Keep your LLC compliant with Total Compliance (State Filings, IRS Filings, and Bookkeeping).\n\nAll. In. One. Go. No US SSN required.\n\nWe’re excited to continue empowering founders across the globe to turn their dream idea into their dream US business.\n\n[Check out doola Banking on Product Hunt as well!](https://www.producthunt.com/posts/doola-banking)",
        "url": "https://www.ycombinator.com/launches/HSU-doola-banking",
        "votes": 17,
        "created_at": "2022-11-03T19:34:35.214Z"
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    "website": "https://webapp.io",
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    "one_liner": "Build webapps faster with 10x better CI/CD + preview envs",
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        "full_name": "Colin Chartier",
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        "user_id": 484938,
        "full_name": "Lyn Chen",
        "title": "Founder",
        "founder_bio": "Prev. Dev Tools Founder (acquired), now doing human flourishing projects across emerging adulthood (18-25) and K-12. \n\n\n\n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/lynchen/",
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      {
        "id": 64193,
        "title": "𝙒𝙚𝙗𝙖𝙥𝙥.𝙞𝙤 - Instant per-branch VMs for E2E tests & ephemeral environments",
        "tagline": "Webapp.io is often 10x faster than creating full-stack environments in a regular CI like Github Actions",
        "body": "![uploaded image](/media/?type=post&id=64193&key=user_uploads/364633/589b9712-0cb1-49cd-9bf5-e059435f1451)\n\nHey! We’re Colin & Lyn from [webapp.io](http://webapp.io).\n\nWe’re helping webapp developers make new copies of their stack in seconds using memory snapshots. You can think of a cloud-agnostic, full-stack version of the branch deployments you’d get from Vercel, Netlify, Heroku, or Render - even if you’re using a regular cloud provider instead of a PaaS.\n\n[Webapp.io](http://Webapp.io) lets you create full-stack environments for every pull request in seconds. We’ve built a custom hypervisor that watches which files are used in which build steps, and skips repetitive actions like starting microservices, seeding databases, or building images.\n\nIt came out of our own frustrations from having to often skip end-to-end testing for commits just for the sake of developer velocity. A typo fix on a landing page shouldn’t take 15+ minutes to spin up a fresh environment for some Cypress tests!\n\n![uploaded image](/media/?type=post&id=64193&key=user_uploads/364633/abdf8553-ec80-4b7a-9582-62e95d43cbc7)\n\n[Webapp.io](http://Webapp.io) works with any Linux-based stack, and the configuration works like a Dockerfile for VMs so that you can get started without having to talk to support.\n\n![uploaded image](/media/?type=post&id=64193&key=user_uploads/364633/4e3f5b2c-3215-41ef-851d-5e46a72727d7)\n\nOnce you’ve installed our app on your GitHub, GitLab, or BitBucket profile, you can push files called Layerfile in the syntax above, and we’ll automatically discover them and build your environments.\n\n[Webapp.io](http://Webapp.io) builds new VMs by re-using memory snapshots of your earlier builds. That means you can get a fresh copy of your database, microservices, and backend in seconds for a frontend change 10x faster than a production cloud provider or traditional CI.\n\nOur free tier is generous and we’re happy to set up a shared slack channel to help prospective users get set up. [Try out the product here!](https://webapp.io/sign-up?utm_src=launchyc) or [read the docs](https://webapp.io/docs/?utm_src=launchyc).",
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    "name": "Seal",
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    "website": "https://seal.run",
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    "one_liner": "All-in-one workspace for companies making regulated products",
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    "regions": [
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    "year_founded": 2019,
    "city": "London",
    "country": "GB",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/harj-taggar"
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        "user_id": 289860,
        "full_name": "Will Moss",
        "title": "Founder",
        "founder_bio": "- Founder of Opvia\n- Love to: run, surf, climb, play chess, ski ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/moss-will/",
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        "id": 70576,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/seal-2/jobs/n4byaPm-founding-product-engineer",
        "location": "England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£50K - £120K GBP",
        "equity_range": "0.10% - 2.00%",
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        "url": "https://www.ycombinator.com/companies/seal-2/jobs/ZgASyYW-forward-deployed-strategist-solutions-consultant",
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    "long_description": "With our API any company that holds consumer deposits (e.g. savings apps) can easily embed professionally managed investment accounts into their services.",
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    "team_size": 25,
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      "name": "Gustaf Alstromer",
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        "user_id": 480203,
        "full_name": "David Dindi",
        "title": "Founder",
        "founder_bio": "David (CEO) earned his BSc. and MSc. from Stanford University in a combination of Chemical Engineering and Computer Science (AI focus). He served as a Quantitative Analyst at Makena Capital, a global investment firm managing approximately $19 billion for endowment and taxable investors, and as Quant at Evidence Based Portfolio Management, one of the DACH region’s leading family offices. David is very passionate about making best-in-class wealth management accessible to every single human being. ",
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        "title": "Senior Backend Engineer - Golang",
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        "title": "Atomic Raises $30 Million to Accelerate Global Expansion of Its Embedded Investing Platform",
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        "date": "Aug 27, 2025"
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        "title": "Bik.ai: World’s First AI Commerce Agents Marketplace",
        "tagline": "Today, we’re launching the world’s first AI Commerce Agents Marketplace - built for every eCommerce brand that’s tired of stacking 20+ eCommerce plugins.",
        "body": "![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/0db1a090-c5b5-453d-8732-d1b4142ae1d2)\n\n**TL;DR** eCommerce Brands, → its time to say good bye to Shopify plugins. :)\n\ninstead of investing heavily on multiple tools and plugins to handle your acquisition, support, retention, can now just spin off **AI commerce agents** for their Brand.\\\n\\\nNo need to onboard 20+ tools or hire 5 new people to scale your eComm Brand.\\\n\\\nNo tools. No humans.\n\n### Problem & the Solution.\n\n**Example** : Trouble with **refunds** because of size issue? \\\n**Solution** : Enable **Size Guide AI** agent to help your shoppers from our marketplace.\n\n**Example** : Struggling to handle inbounds from Influencers on Insta DM?\\\n**Solution** : Build an **Influencer shortlisting DM agent** using our Agent studio builder\n\n**Drum rolls 🥁.**\n\nHere is a sneak peak of how it looks :\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/9473b2ad-3c69-4da3-9699-78284c1a23ff)\n\nhttps://www.youtube.com/watch?v=PF4TnsHh2nI\n\n### How to works?\n\nThe crazy part? → Its amazingly easy to set it up.\n\nJust type in your prompt for :\n\n1. **Goal** → **(Reduce support load, increase revenue by xx%)**\n2. **Instructions**\n3. **Success criteria**\n\nGet realtime updates on the Agent’s performance: 👇🏼\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/6c9edeb5-28b7-4f19-b93d-842e68882d8a)\n\nYou don’t need to train AI at multiple places, because BIK.ai takes care of everything when it comes to marketing & support for eCommerce Brands.\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/d6e63f5c-48ee-43f6-a21b-490a013532d5)\n\n**Train it once.**\n\n**Deploy it everywhere** (email, text, Instagram, messenger, whatsapp) or on website.\n\n**Relax for a lifetime.**\n\n### Ask:\n\nGive it a shot if not already, you can onboard us\n\n✅ No contracts\\\n✅ No onboarding cost\\\n✅ Begin with 1 agent — scale as you grow\\\n✅ Setup: 100% white-glove service — my team trains your AI and takes it live\n\nCheck it out here - https://getmanifest.ai/ai-commerce-agents\n\nWrite me at [sonakshi@bik.ai](mailto:sonakshi@bik.ai) if you would like to take your 1st step towards future today.",
        "url": "https://www.ycombinator.com/launches/OfM-bik-ai-world-s-first-ai-commerce-agents-marketplace",
        "votes": 89,
        "created_at": "2025-10-22T17:11:46.471Z"
      },
      {
        "id": 81809,
        "title": "⭐️ 💖 Manifest AI - Introducing AI Shopping Pages",
        "tagline": "Manifest AI helps brand deploy AI shopping assistants. Today, we're launching AI shopping pages.",
        "body": "TL;DR eCommerce Brands, instead of getting their visitors to their static storefronts, can now how have a dedicated landing page with an AI shopping experience— trained on their eCommerce store + Sales data.\n\n—\n\nHey Fam, we're Sonakshi and Ashutosh, and we're founders of [Manifest AI](https://getmanifest.ai) (it’s a product by [BIK](https://bik.ai)). We're on a mission to re-imagine how eCommerce is done today using Generative AI.\n\n**❓The Problem**\\\n96% of online visitors drop off after visiting a Brand’s website because of multiple reasons, such as not getting what they wanted or not knowing where and how to find what they want.\n\n**⭐️ Solution**\n\n[Manifest AI](https://getmanifest.ai)’s shopping page allows brands to have a fully personalised AI shopping experience for each visitor where they can ask what they want, for example, “I have a date night, pls suggest something in black?” Manifest AI enables product recommendation, engagement & purchase depending upon the intent of the visitor.\n\n**⚙️ How it works**\n\nAs soon as you sign up for [Manifest AI](https://getmanifest.ai), the LLMs gets trained on your eCommerce store & sales data, and generates an AI shopping page, the page can have different URLs depending upon the ads campaign making the AI shopping page to give a very personalised experience to each user. It takes care of search, product recommendation, and support on your storefront. It acts like a human sales agent on your eCommerce website.\n\n👉🏼 Watch the full video [here](https://www.youtube.com/watch?v=K4K_uE0RkQI)\n\n**💙 Manifest AI is contributing to real sales**\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/647489df-7448-48a0-a5b1-9123db34bf0d)\n\n**👉** You also get the Training quality score of your AI on the Manifest Dashboard.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/80378219-9406-4ab5-acf8-cdb66f063c1f)\n\n👉 You can set up different URLs & experiences for your ads campaign.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/bb32fc2d-fac8-46cf-9a18-ea4a162ad4ba)\n\nAI also has the capability to generate real-time quizzes based on intent, keeping the visitors engaged.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/afd9ca35-ec7f-44bc-bbe1-a94f7fb0dcc8)\n\n**🙏 Asks**\n\nIf you have any eCommerce brands in your network, request them to try [Manifest AI](https://getmanifest.ai)!\n\nFollow us on [Linkedin](https://www.linkedin.com/company/getmanifestai) 😊\n\nIf you have 30 minutes to chat about Manifest AI, please book a time with me [here](https://bit.ly/4cluvJH) or [DM me here](https://www.linkedin.com/in/sonakshi-nathani-473abb41/)",
        "url": "https://www.ycombinator.com/launches/LHV-manifest-ai-introducing-ai-shopping-pages",
        "votes": 208,
        "created_at": "2024-06-27T20:59:36.368Z"
      }
    ]
  },
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    "id": 22003,
    "name": "Decentro",
    "slug": "decentro",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/26546d4be80e83088bea9fc9e77f6aa3cd234174.png",
    "website": "https://decentro.tech",
    "all_locations": "Bengaluru, KA, India; Delhi, DL, India; Singapore, Singapore",
    "long_description": "Almost every company that has to integrate with the legacy financial institutions, faces several challenges when it comes to the product cycle. Not only are the APIs and documentations less available, but they are also old school and ridden with errors and loopholes. \r\n\r\nOn top of that, the lack of a single point of contact from the underlying institutions, makes the already long integration cycle of 5 months feel like a temple run between different departments. And since those services break and update over time, you can imagine the nightmare in terms of coordination between the tech teams. \r\n\r\nWe are a full-stack platform where you can come, select your desired modules, play in the sandbox, and launch your product with the APIs and SDKs within a couple of weeks! Not only that, but we also take care of all upcoming fixes, iterations, and updates without breaking any flow.\r\n\r\nIt's that easy, as it should be. Welcome to the future.",
    "one_liner": "API Platform for Banking Integrations (Plaid for India and APAC)",
    "team_size": 60,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1595174841,
    "tags": [
      "Banking as a Service",
      "Fintech",
      "API"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "India",
      "Singapore",
      "South Asia",
      "Southeast Asia",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/decentro",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/decentro.json",
    "year_founded": 2020,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/decentro/",
    "x_url": "https://twitter.com/DecentroTech",
    "fb_url": "https://facebook.com/Decentro-104637704449006/",
    "cb_url": "https://www.crunchbase.com/organization/decentro",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/26546d4be80e83088bea9fc9e77f6aa3cd234174.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 475000,
        "full_name": "Rohit Taneja",
        "title": "Founder",
        "founder_bio": "My aim in life is to contribute to the world by solving some of the toughest problems that exist. \n\nI believe that to run a technology venture, the culture needs to be set from the foundation and only a highly knowledgeable and passionate person can get it right. That is why I strive to be a polymath. \n\nThe domains that I am planning to work on (sequentially over the course of my lifetime) are - \n1. Digital payments \n2. Block-chain \n3. Sustainability & Climate Change",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rohit-taneja-69b30b13/",
        "x_url": "https://twitter.com/sunnyboyrohit",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b1dce988335ea7a50e3f5f69a71ae2380311281.jpg"
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    "news": [
      {
        "title": "Y Combinator-Backed Decentro Acquires SaaS Fintech Neowise Technologies",
        "url": "https://inc42.com/buzz/y-combinator-backed-decentro-acquires-saas-fintech-neowise-technologies/",
        "date": "Jul 19, 2023"
      },
      {
        "title": "Fintech startup Decentro begins operations in Singapore",
        "url": "https://www.cnbctv18.com/startup/fintech-startup-decentrotech-begins-operations-in-singapore-15995891.htm",
        "date": "Feb 21, 2023"
      },
      {
        "title": "Rapyd Ventures backs Indian fintech-as-a-service startup Decentro • TechCrunch",
        "url": "https://techcrunch.com/2022/10/31/y-combinator-backed-decentro-fintech-series-a-funding/",
        "date": "Oct 31, 2022"
      }
    ],
    "launches": [
      {
        "id": 103475,
        "title": "Decentro goes global | Multi-Currency Payment Collections",
        "tagline": "Launching global payments & treasury from GIFT city for the world. ",
        "body": "Hey YC community, we’re Rohit and team from **Decentro (YC S20)**, a full‑stack banking and payments API player from India.\n\nOver the last few years, we’ve helped thousands of businesses plug into Indian banking, KYC, and payments infrastructure with simple APIs; now we’re extending that to global payments with our new **GIFT‑based PSP** and cross‑border collection stack.\n\n## **The problem – global money in &amp; out**\n\nIf you’re a trade finance player, marketplace, or fintech scaling globally, you probably live in some version of this mess:\n\n* Multiple PSPs and bank partners across countries, each with different compliance, FX, and payout rules.\n* Long, opaque onboarding cycles for cross‑border flows.\n* Fragmented reporting across acquirers, currencies, and entities, making reconciliation and compliance audits painful.\n* A fast‑moving regulatory environment (IFSCA, FEMA, local regimes) where a misstep can mean blocked flows or penalties.\n\nThis slows down companies that should be focusing on building products and acquiring customers, not chasing bank RM emails and interpreting circulars.\n\n## **What we’re building – a compliant global PSP rail via GIFT**\n\nWe’ve become one of the first Indian payment aggregators to receive a final PSP license from IFSCA at GIFT City, and we’re wrapping that into a developer‑first global payments platform.\n\nAt a high level, here’s how it works:\n\n* Single API / dashboard to collect global payments: Accept from international customers via cards, local methods, and bank transfers across multiple currencies, and settle into GIFT City or onshore INR.\n* Built‑in compliance and reporting: We abstract GIFT City PSP rules, documentation, and transaction reporting so finance and compliance teams get ready‑to‑use exports and views.\n* Faster settlement and better visibility: Unified ledgers and payout flows across corridors and partners, with clear T+ timelines, FX details, and status notifications.\n* Modular APIs: Use us just as a cross‑border collection layer, or plug into the broader Decentro stack (KYC, domestic payouts, banking APIs) if you want a full‑stack infra partner.\n\n## **Why we started working on this**\n\nAt Decentro, we began by solving for domestic Indian banking and payments APIs after running into fragmentation and long integrations at our previous companies.\n\nAs our customers scaled, the same questions kept coming up:\n\n* “Can you help us collect from global customers and settle into our desired currency?”\n* “Is there a compliant way to route this via GIFT City without adding three more partners?”\n\n## **How it works – product flow**\n\nHere’s a typical integration:\n\n1. Configure your entity and use case (SaaS, marketplace, B2B payments, etc.) in our console, including purpose codes and underlying documentation.\n2. Integrate our hosted checkout or APIs to start accepting payments in supported currencies and methods from your customers.\n3. We route funds through our GIFT PSP stack, run compliance checks, and handle FX and settlements into your designated accounts.\n4. Your finance and compliance teams use our dashboard and webhooks for reconciliation, returns, chargebacks, and regulatory reporting.\n\n## Here’s a walkthrough video - <https://youtu.be/FYXg5-KSg-8>\n\nIf you’re:\n\n* A SaaS or B2B company selling globally and settling into India.\n* A marketplace, fintech, or infra company that needs compliant cross‑border rails via GIFT City.\n* Or an existing YC company that wants to expand to Indian or India‑linked flows.\n\nWe’d love to chat.\n\n* Website: <https://tinyurl.com/decentro-yc-launch>\n* Global PSP product page: [**https://decentro.tech/global/gift-psp**](https://decentro.tech/global/gift-psp)\n* YC founder: Rohit (Founder &amp; CEO, Decentro – YC S20)\n\nComment here, or reach out and mention “Integrate YC PSP” so we can prioritize your onboarding and, if relevant, help you navigate the GIFT / IFSCA side as well.\n\nCheers!",
        "url": "https://www.ycombinator.com/launches/Qux-decentro-goes-global-multi-currency-payment-collections",
        "votes": 27,
        "created_at": "2026-06-25T19:24:52.100Z"
      }
    ]
  },
  {
    "id": 22004,
    "name": "Notabene",
    "slug": "notabene",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b0f2c4947976db4329789cc22f30a10206acb57.png",
    "website": "https://notabene.id",
    "all_locations": "New York City, NY, USA",
    "long_description": "Notabene helps businesses perform crypto transactions in a regulatory compliant way. Think of us as the SWIFT network for Crypto.\r\n\r\nNew global regulations for crypto transactions are here and will be enforced over the next year. Businesses now have to follow strict rules similar to banks, or shut down. \r\n\r\nWe provide a SaaS platform that allows businesses to perform due-diligence on their counter-parties and manage the risk of incoming and outgoing transactions.",
    "one_liner": "The Notabene platform is the trust layer for global money movement.",
    "team_size": 47,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1597768786,
    "tags": [
      "Fintech",
      "Crypto / Web3",
      "Regtech"
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      "Crypto / Web3"
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    "isHiring": true,
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    "batch": "Summer 2020",
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    "regions": [
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/notabene",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/notabene.json",
    "year_founded": 2020,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/notabene-id",
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    "cb_url": "https://www.crunchbase.com/organization/notabene-86d2",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 489750,
        "full_name": "Andres Junge",
        "title": "Founder",
        "founder_bio": "Developer since 1985. Yaykuy Bitcoin Chile founder. Consensys / uPort co-founder. Notabene co-founder and CTO. Micael Waldorf School co-founder. Have a lovely wife and two awesome kids.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ajunge",
        "x_url": "https://twitter.com/ajunge_m",
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        "full_name": "Ania Lipinska",
        "title": "Founder",
        "founder_bio": "Ania is a UX designer and Head of Product at Notabene.   She has experience leading a variety of design projects for both start-ups and established companies (Comcast, Booking.com, Blade). \nShe brings an unapologetically customer-centric approach to the team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ania-lipinska/",
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        "full_name": "Alice Nawfal",
        "title": "Founder",
        "founder_bio": "Alice Nawfal is COO of Notabene. Her role is to combine business strategy with hands-on execution, while navigating a complex regulatory landscape. Prior to Notabene, she co-lead uPort, a platform for user-controlled data. She comes from a management consulting and policy background, having worked at Bain and the Economist, as well as fintechs like Prodigy Finance and norbloc. She has an MBA from Wharton, a policy degree from the Harvard Kennedy School, and Math/Economics degrees from MIT.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alicenawfal/",
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        "id": 77168,
        "title": "Sales Director, Americas (Institutional)",
        "url": "https://www.ycombinator.com/companies/notabene/jobs/dWkUMzI-sales-director-americas-institutional",
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        "role_type": null,
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        "title": "Crypto Anti-Money Laundering Specialist Notabene Raises $14.5M Series B Led by DRW",
        "url": "https://www.coindesk.com/business/2024/11/12/crypto-anti-money-laundering-specialist-notabene-raises-145m/",
        "date": "Nov 12, 2024"
      },
      {
        "title": "Notabene raises $10.2M to help crypto exchanges comply with new global regulations – TechCrunch",
        "url": "https://techcrunch.com/2021/11/08/notabene-raises-10-2m-to-help-crypto-exchanges-comply-with-new-global-regulations/",
        "date": "Nov 08, 2021"
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    "id": 22008,
    "name": "Aquarium Learning",
    "slug": "aquarium-learning",
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    "website": "https://www.aquariumlearning.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "ML models are only as good as the datasets they're trained on, and that means that most improvement to model performance comes from improvement to the quality and diversity of their datasets.\r\n\r\nOur tooling makes it easy for ML teams to find anomalies + failure patterns in their datasets and fix these problems by editing / adding the right data. So the next time you retrain your model, it just gets better.",
    "one_liner": "We help ML teams improve their models by improving their datasets",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1597122957,
    "tags": [
      "Deep Learning",
      "Developer Tools",
      "Generative AI",
      "Machine Learning",
      "AI"
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    "top_company": false,
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    "batch": "Summer 2020",
    "status": "Acquired",
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    "stage": "Early",
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    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aquarium-learn",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 486120,
        "full_name": "Peter Gao",
        "title": "Founder",
        "founder_bio": "Peter was an early employee (#18) at Cruise, where he built a large part of a self driving car from scratch. Before that, Peter did research on deep learning at UC Berkeley. Before that, he interned at Pinterest and Khan Academy, doing a mix of ML and web work. Now cofounder at Aquarium!",
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        "full_name": "Quinn Johnson",
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        "id": 73360,
        "title": "Tidepool 🌊 - Product analytics for AI apps",
        "tagline": "With Tidepool, product teams can find patterns in their user text interactions to help make better product decisions.",
        "body": "![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=73360&key=user_uploads/486120/59d0da6d-3ebf-4b0c-a977-52e9dcd90847)\n\n**TLDR: Excited to announce our new product,** [**Tidepool**](https://www.tidepool.so/)! Tidepool does product analytics for AI text interfaces. With Tidepool, product teams can find patterns in their user text interactions to help make better product decisions.\n\n[**Check our our demo video here!**](https://youtu.be/Ss-zLj53OlM)\n\n### **The Problem:**\n\nLLM apps have introduced [**a new paradigm**](https://www.nngroup.com/articles/ai-paradigm/) for interacting with software, where users can work iteratively with the software via a natural language interface, generating user inputs and model responses consisting of unstructured text.\n\nTraditional product analytics techniques don't deal well with large amounts of unstructured text - it's hard to summarize, it's hard to aggregate, and it's hard to effectively sample. AI developers resort to digging through a pile of hundreds to hundreds of millions of datapoints of unstructured text to understand how users interact with their product.\n\n### **The Solution:**\n\n[**Tidepool**](https://www.tidepool.so/) is a product analytics platform that solves these problems using **neural network embeddings**. After you upload user text interaction events, Tidepool will:\n\n1. **Automatically group your data by similarity.** Tidepool runs embedding clustering on your users’ text interactions to surface interesting attributes: things like prompt topics, prompt languages, and common usage patterns that can be turned into shortcuts.\n2. **Summarize common attributes in your data**, using LLMs to determine what each cluster “contains.” For example, understanding that the most common topics that users discuss are business, education, and art.\n3. **Track attributes in production traffic**, allowing you to uncover how a specific attribute might be correlated to good / bad product outcomes. We utilize lightweight models running on foundation model embeddings to scalably extract these attributes from hundreds of millions of production interaction events.\n\n### **About Us:**\n\nOver the last few years, Aquarium has worked a lot with computer vision companies to help them curate labeled datasets and improve their fine-tuned models using our core embedding technology.\n\nOur mission has always been to make it easier for people to build and improve production ML systems that solve real-world problems. When we saw the Cambrian explosion of LLM apps earlier this year, we realized that our core embedding technology and expertise was very useful for getting these new apps to product-market fit even faster!\n\n### **Our Ask:**\n\n* **Try it out!** [Sign up here to get started.](https://www.tidepool.so/)\n* **Share this post with your friends!** We’d love to get exposure to as many different AI applications as possible.\n* **Give us feedback!** [Join our Slack community](https://join.slack.com/t/tidepoolcommunity/shared_invite/zt-1zp4f82tc-78rxSFZ6E3eXguvH3pzdwQ) and leave your thoughts, or [schedule some time with us to talk](https://calendly.com/pgao/tidepool-demo).",
        "url": "https://www.ycombinator.com/launches/J5E-tidepool-product-analytics-for-ai-apps",
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    "long_description": "Mailwarm is the email deliverability company. We help senders get into the inbox and stay there, through products, tools, and services built for both humans and AI agents.\r\n\r\n✦ Mailwarm.com: The original email warmup tool. Build sender reputation automatically through real, positive inbox interactions across a large network of mailboxes, with built-in monitoring and deliverability insights.\r\n\r\n✦ ThemailX.com: Instant deliverability diagnostics for AI agents and humans. Check all protocols SPF, DKIM, DMARC, Inbox placement and more via MCP, API, or web. Get specific fixes and actions, not just scores.\r\n\r\n✦ Mailadept.com: Email deliverability on autopilot. A subscription-based, AI-native service where agents and deliverability experts collaborate to audit your setup, fix issues, and monitor inbox placement continuously.\r\n\r\nBuild reputation with Mailwarm, diagnose problems with themailX, fix and maintain with mailadept.\r\nDoing email marketing or cold outreach? Book a call through mailadept.com, we'll show you which one fits.",
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        "full_name": "Amine Benjelloun",
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        "id": 101509,
        "title": "mailX by mailwarm - Instant deliverability diagnostics for AI agents & humans.",
        "tagline": "mailX tells you why emails go to spam and how to fix it, via web, API, and MCP.",
        "body": "Hey YC\n\nI’m [Amine](https://www.linkedin.com/in/bengeekly/), CTO of Mailwarm (YC S20) and today we’re launching [mailX](https://themailx.com).\\\n[Thami](https://www.linkedin.com/in/thami-benjelloun/) is the CEO, [Othman](https://www.linkedin.com/in/othmankatim/) is our Head of deliverability and we are ready to help you with all your email deliverability problems.\n\nWe’ve been working on email deliverability since 2020. Mailwarm started as an email warmup tool and became [#1 Product of the Day](https://www.producthunt.com/products/mailwarm) on Product Hunt. Since then, we’ve helped thousands of teams improve sender reputation and inbox placement.\n\nToday, we’re building a broader email deliverability ecosystem:\n\n* **Mailwarm** helps teams build sender reputation through real inbox interactions.\n* **mailX** helps humans and AI agents diagnose deliverability issues.\n* **MailAdept** helps companies fix and monitor deliverability continuously with AI agents and human experts.\n\nToday we’re launching [mailX](https://themailx.com).\n\n![uploaded image](/media/?type=post&id=101509&key=user_uploads/422675/836ee2bb-f82d-4b97-9c90-c77c6d0d62f0)\n\n---\n\n## TL;DR\n\n**mailX tells you why your emails go to spam and how to fix it.**\\\nYou can run a deliverability check from the web, use it through a JSON API, or plug it directly into AI agents through MCP.\n\nNo signup.\\\nNo API key.\\\nFree to use.\n\nTry it here: [**https://themailx.com**](https://themailx.com)\\\nMCP endpoint: [**https://themailx.com/mcp**](https://themailx.com/mcp)\n\n---\n\nYou can also book a call with one of our email deliverability expert [HERE](https://calendly.com/mailwarmsessions/mailx).\n\n## 🚨 The Problem\n\nEmail deliverability is technical, your marketing team can’t handle it.\n\nEmail is still one of the most important growth channels for startups.\n\nFounders use it for cold outreach.\\\nSales teams use it for outbound.\\\nMarketing teams use it for campaigns.\\\nProducts use it for onboarding, activation, and transactional emails.\n\nBut when emails start going to spam, most teams don’t really know why.\n\nThey check random tools.\\\nThey look at raw DNS records.\\\nThey ask ChatGPT.\\\nThey change things blindly.\\\nThey wait and hope inbox placement improves.\n\nThe problem is not only that deliverability is technical.\n\nThe real problem is that most tools show data, but don’t explain what matters or what to fix.\n\nAnd now, with AI agents sending emails, monitoring systems, and managing workflows, this problem gets bigger.\n\nAgents need access to live deliverability tools too.\n\n---\n\n## 💡Our Solution\n\n**mailX is a free deliverability diagnostic platform for humans and AI agents.**\n\nWith mailX, you can analyze a domain in seconds and get a clear report showing:\n\n* What is working\n* What is broken\n* Why it matters\n* What to fix next\n\nThe web app gives founders, marketers, sales teams, and developers a simple way to understand why emails may go to spam.\n\nThe API and MCP server make the same tools available to AI agents and developer workflows.\n\nSo instead of copying DNS records into different tools, your agent can directly check email authentication, blacklist status, mail server configuration, and deliverability signals.\n\n---\n\n## ⏳How it works\n\n1. Enter a domain on [**themailx.com**](http://themailx.com)\n2. mailX runs a live deliverability audit\n3. You get clear issues, explanations, and fixes\n4. Developers can use the JSON API\n5. AI agents can use the MCP endpoint directly\n\nThe best part is that you can lets you AI Agent fix your deliverability or directly integrate it to your Claude or ChatGPT.\n\nHere’s a quick demo of mailX:\\\n<https://www.youtube.com/watch?v=YWmV7-wthQI>\n\nIn the demo, we show:\n\n* Running a domain audit\n* Getting clear fixes\n* Using the MCP/API layer for AI agents and developers\n\nWe currently support checks and tools for email authentication, DNS records, blacklist status, mail server configuration, and record generation.\n\n---\n\n## Why now?\n\nEmail deliverability used to be something only email experts cared about.\n\nToday, every startup relying on outbound, lifecycle emails, AI SDRs, or automated email workflows needs to understand it.\n\nAt the same time, AI agents are becoming part of the stack.\n\nBut agents need tools.\\\nThey need live data.\\\nThey need safe, structured ways to diagnose and act.\n\nThat’s why we made mailX available through:\n\n* Web app\n* JSON API\n* MCP server\n* Agent skill\n* LLM discovery endpoints\n\nOur belief is simple:\n\n**Email deliverability should be understandable for humans and usable by AI agents.**\n\n![uploaded image](/media/?type=post&id=101509&key=user_uploads/422675/ffc97aad-6864-4525-a89d-0aa1f7890289)\n\n---\n\n## Backstory\n\nIn 2019, we failed a startup after 2 years of work.\n\nAfter that, we decided to test ideas much faster: one launch per week.\n\nEvery launch used the same growth channel: email.\n\nCold emails.\\\nPartnership emails.\\\nLaunch emails.\\\nFollow-ups.\n\nThat’s when we understood something obvious: If your emails don’t land in the inbox, nothing else matters.\n\nThat led us to build Mailwarm in 2020.\n\nAfter years helping thousands of teams improve deliverability, we kept seeing the same pattern: People don’t know why they land in spam.\\\nAnd even when they see the data, they don’t know what to fix.\n\nmailX is our answer to that.\n\n---\n\n---\n\n## 🙏 Our Ask\n\nWe’d love your feedback from the YC community.\n\nIf you are doing cold email, email marketing, transactional email, or building AI agents that send or monitor emails, try mailX and tell us what is missing.\n\nAlso, if you are building an AI agent or workflow where email deliverability matters, we’d love to talk.\n\nTry mailX: [**https://themailx.com**](https://themailx.com)\\\nBook a call through MailAdept if you want help choosing the right setup: [https://calendly.com/mailwarmsessions/mailx](https://calendly.com/mailwarmsessions/mailx?month=2026-05)",
        "url": "https://www.ycombinator.com/launches/QPF-mailx-by-mailwarm-instant-deliverability-diagnostics-for-ai-agents-humans",
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        "created_at": "2026-05-18T17:10:14.688Z"
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    "long_description": "We help businesses cut operational costs, while still exceeding customer expectations.\r\nMost businesses are consistently under- or over-staffed, which either damages customer experience or leaves money on the table (by unnecessarily increasing staffing costs). Granular, high-accuracy demand forecasting solves this issue by allowing businesses to align resources to exactly meet demand. \r\nOur demand forecasting as a service, brings simplicity & precision to this often complex and error-prone process, and quickly provides business users the right answers to run their operations. ",
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    "one_liner": "Memo is modern communication that helps you get your focus back",
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    "one_liner": "The all-in-one screen recorder.",
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        "full_name": "Grant Shaddick",
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        "founder_bio": "Co-founder of Tella. I like talking about the challenges of remote work :)",
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        "body": "Hello 👋\n\nNunzio and Sebastiano from [Akiflow](https://www.ycombinator.com/companies/akiflow) here!\n\n![uploaded image](/media/?type=post&id=64891&key=user_uploads/117279/d0fe1c55-7cda-4899-9ac4-bb4866fbee19)\n\n### 🚩 **The problem: staying organized is hard.**\n\nTasks are scattered around; they come from messaging apps (emails, slack, etc.), project management platforms, video calls, surfing the web, and constantly arise throughout the day. Furthermore, it's difficult to be realistic about how much work you can get done without a calendar that shows how much time you have in a day at work.\n\n### **✨ The Solution:**\n\n**Akiflow consolidates tasks in a single inbox from different apps** (Gmail, Slack, Todoist, Notion, Asana, Trello, ClickUp, and anything else via Zapier).\n\nIt makes it easy to capture tasks via our _command bar_ that can be opened anywhere on the device. The fully functional calendar supports tasks and it’s built for time blocking giving you a comprehensive view of your day/week.\n\n_Our command bar_\n\n![uploaded image](/media/?type=post&id=64891&key=user_uploads/117279/b6cf5ab5-fa5f-43db-a928-2857d484a78a)\n\n_Timezone support and Share Availability_\n\n![uploaded image](/media/?type=post&id=64891&key=user_uploads/117279/390022e0-c46c-44d0-af4d-2da1960e82d6)\n\n_Booking Slots_\n\n![uploaded image](/media/?type=post&id=64891&key=user_uploads/117279/4ef0b091-a35c-4716-88c4-c37fd14b671f)\n\n![uploaded image](/media/?type=post&id=64891&key=user_uploads/117279/86540833-2140-4b96-93d5-3758e8125816)\n\n_Notifications and Agenda_\n\n![uploaded image](/media/?type=post&id=64891&key=user_uploads/117279/b07d8bb3-8b8e-4e14-bd94-7be3abc910d4)\n\n\n**👉 Start your free trial! Click** [**here 👈**](https://akiflow.com/)\n\n### **🎞️  Our story**\n\nWhen we started Akiflow, we build a way to quickly add information to different tools.\n\nIt was a command bar, similar to Alfred, that allowed users to add events to the calendar or create tasks on Asana, Trello, etc. \n\nWe soon realized that all we were doing was speeding up people's attempts to manage their own subpar productivity system.\n\nThe ultimate goal of our users was to maintain constant organization by keeping everything in one place. Since they were unable to find an app that could assist them in doing so, they were trying to speed up the process of consolidating information manually.\n\nThat’s why we decided to pivot and build a unified tasks + calendars app. We built integrations (via APIs) with multiple sources of to-dos (Gmail, Slack, Asana, etc..).\n\nWe developed a full calendar experience, added shortcuts and a command bar (we kind of had this ready from Akiflow #1), and added a few features to accelerate routine tasks (join a call, share availability, ..)\n\n**👉 Start your free trial! Click** [**here 👈**](https://akiflow.com/)",
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    "id": 22083,
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        "title": "HENRY: Access LatAm's vetted engineers ready to start immediately for free 🚀",
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        "body": "**Access our talent** [**here**](https://talent.soyhenry.com) **now, with $0 hiring fees!** [**Watch 2 min demo.**](https://www.loom.com/share/11f8cd05f95843e794be5810e3937f36)\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/7edfa430-59ae-4895-85a4-57816809a2ac)\n\n\\+100 happy employers within the YC community\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/92b0b5c0-4f37-48fe-91bc-e397e5d3af08)\n\nWatch [video testimony](https://www.youtube.com/watch?v=DhDfHVDyGFM) from YC employers.\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/a7d703d3-8b23-4f18-8b9f-dae197cf7957)\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/18fac62c-f44a-4cc5-8cdc-741a440e3d4e)\n\nJust make them an offer [here](https://www.talent.soyhenry.com/?hl=en) and start working with them instantaneously. \\\n[Watch 2 min video](https://www.loom.com/share/11f8cd05f95843e794be5810e3937f36).\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/e03c55b3-017c-4395-86cc-91da06d3a374)\n\nWe believe that while potential is evenly distributed across society, opportunities are not. Two years ago, **we were born with the mission to accelerate LatAm’s transition towards social equality by connecting people with high-paying jobs worldwide.**\\\n\\\nIf you are interested, shoot me an email at [martin@soyhenry.com](mailto:martin@soyhenry.com), [book a call](https://calendly.com/luzborchardt/calendar?month=2022-08) or fill out [this form](https://www.ycombinator.com/launches/Gy8-henry-access-latam-s-vetted-engineers-ready-to-start-immediately-for-free) and I and I’ll send you handpicked candidates within 48 hours at no cost.",
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        "title": "Warmly raises $6M Series A extension to optimise SMB engagement - Tech.eu",
        "url": "https://tech.eu/2025/02/04/warmly-raises-6m-series-a-extension-to-optimise-smb-engagement/",
        "date": "Feb 04, 2025"
      },
      {
        "title": "Warmly raises $11M Series A from Felicis",
        "url": "https://techcrunch.com/2023/10/19/warmly-pivots-from-zoom-tool-to-directing-warm-leads-to-sales/",
        "date": "Oct 19, 2023"
      },
      {
        "title": "Warmly Launches Free App For Zoom, Announces Fresh $2.4 Million In Additional Funding",
        "url": "https://www.forbes.com/sites/rashishrivastava/2021/07/22/warmly-launches-free-app-for-zoom-announces-fresh-24-million-in-seed-funding/",
        "date": "Aug 12, 2020"
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      {
        "id": 100530,
        "title": "Warmly - Always-On AI Sales Agent for Your Website",
        "tagline": "AI that gives demos, qualifies leads, and books meetings on your website 24/7",
        "body": "Hey YC 👋 We're Max, Carina and Alan, founders of Warmly.ai.\n\n**TL;DR**: We just launched **AI Autopilot**: an always-on agent that lives on every page of your website, identifies visitors at the person level before any form fill, gives demos, qualifies prospects, books meetings, and retargets the rest. Customers running it are converting 30% more inbound traffic. Setup is a script tag and 30 minutes.\n\nLaunch announcement [here](https://www.linkedin.com/feed/update/urn:li:activity:7455240801065885696/) (would greatly appreciate a comment!).\n\n<https://www.youtube.com/watch?v=EHybZmEzyTs>\n\n**The Problem**\n\nMost B2B SaaS companies are bleeding pipeline through their front door.\n\nYour website is your highest-leverage asset. Every visitor you've paid for lands there. They often have the problem you solve but you just might not be fast enough to get to them in time before they leave or go to a competitor.\n\nBuyers now expect to talk to someone immediately. They don’t want to wait a day to schedule a call with an SDR to get a basic question answered.\n\nBut every \"AI chatbot\" we've seen since 2023 has the same architecture under the hood: a stateless GPT wrapper that rebuilds context from scratch on every message, hallucinates, and hands off \"qualified\" leads with no traceability.\n\nAEs aren’t fans and buyers see through them in two messages.\n\n**What we built**\n\n<https://www.youtube.com/watch?v=KkvDdJCsqd8>\n\nAI Autopilot is one agent on every page of your site. It pulls from your website, help center, internal docs, sales calls, sales methodologies, and CRM.\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/3ec0d6d3-bdec-4a67-9c20-5937dd63216d)\n\nIt picks its own qualification path. It generates slide decks on the fly mid-conversation, triggers the right videos by intent, and offers an optional video avatar so visitors talk to a person instead of a widget.\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/368692f0-3842-48b8-8297-2cdd41ab78d7)\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/e3d90e0a-3c84-418b-b28e-445d7ee67dd4)\n\nWhen the visitor doesn't book? AI Autopilot doesn't give up. It Slacks your team, sends a personalized follow-up email, and triggers LinkedIn retargeting for your top prospects.\n\nIt self-improves.\n\nIt analyzes every conversation against the goals you set, tunes itself, and is version controlled. You can watch it get better over time.\n\nIn our beta accounts, automated inbound meetings increased 30%.\n\n**Why now**\n\nWe started out compiling signals for B2B sales/marketing teams, like person-level website visitor data.\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/49b7ce12-478d-4b6f-a812-7a0810f6272a)\n\nIn the past year we took a different bet: build a context graph for B2B GTM first, then put agents on top of it.\n\nThe context graph is a unified, real-time data layer that connects every signal, action, note, and outcome for every account. When AI Autopilot engages a visitor, it knows they saw your LinkedIn ad last week, your SDR sent a follow-up email yesterday, and they downloaded a case study an hour ago. It doesn't have to \"look this up.” The context is already pre-computed in primitive stores it can query in milliseconds.\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/784e00dd-623d-42b2-94e4-fc67416b54a0)\n\nA blog post we wrote that covers how we think about the GTM space: [GTM Brain: Next Platform Owns Decisions, Not Data](https://www.warmly.ai/blog/gtm-brain).\n\n**Asks for the YC community**\n\n1\\. **Drop us a comment on our [launch post](https://www.linkedin.com/feed/update/urn:li:activity:7455240801065885696/)**. We’d love for more of our community to know us for building GTM agents and not just supply GTM data :).\n\n2\\. **Try us out.** Book a demo with us if this is something you’re interested in! <https://www.warmly.ai/p/book-a-demo>\n\nWarmly,\n\nMax, Carina & Alan",
        "url": "https://www.ycombinator.com/launches/Q9S-warmly-always-on-ai-sales-agent-for-your-website",
        "votes": 4,
        "created_at": "2026-04-29T17:07:12.204Z"
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    "name": "Mozart Data",
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    "website": "http://www.mozartdata.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mozart Data provides an out-of-the-box modern data stack that empowers anyone to easily consolidate, organize, and prepare their data for analysis. Spin up a data stack that’s built on a best-in-class data warehouse and ETL tool in hours, without any engineering. You can finally spend more time on generating insights and less time wrangling your data.",
    "one_liner": "The easiest way to set up a modern data stack",
    "team_size": 24,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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    "year_founded": 2020,
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        "full_name": "Peter Fishman",
        "title": "Founder",
        "founder_bio": "Dan and I are working on data tools for SMBs, the types of modern data stacks that we've built at multiple high growth startups.  I've been running data and data-adjacent teams in the Valley for over a decade at startups from a variety of industries including gaming, social, HR/benefits, real estate, and cannabis.  Dan and I have been friends for 20 years and we previously co-founded a hot sauce company, Bacon Hot Sauce, 10 years ago selling hundreds of thousands of bottles.",
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        "linkedin_url": "http://www.linkedin.com/in/petefishman",
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      {
        "user_id": 5666,
        "full_name": "Dan Silberman",
        "title": "Founder",
        "founder_bio": "I am a product-oriented software engineer, with a focus on UX, data-engineering and data science. I've founded and worked at numerous startups, from consumer to fintech to healthcare.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dansilberman23/",
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    "news": [
      {
        "title": "Mozart Data announces free tier to encourage smaller businesses to get on platform | TechCrunch",
        "url": "https://techcrunch.com/2023/04/05/mozart-data-announces-free-tier-to-encourage-smaller-businesses-to-get-on-platform/",
        "date": "Apr 05, 2023"
      },
      {
        "title": "Mozart Data raises $15M to help startups spin up a data stack – TechCrunch",
        "url": "https://techcrunch.com/2022/04/27/mozart-data-raises-15m-to-help-startups-spin-up-a-data-stack/",
        "date": "Apr 27, 2022"
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    ],
    "launches": [
      {
        "id": 80903,
        "title": "Mozart Data for BigQuery",
        "tagline": "End-to-end data platform with BigQuery or Snowflake under the hood",
        "body": "**Mozart Data + Big Query:** \n\nDo you have GCP credits available? You can now get BigQuery, Looker, and use Mozart’s Sonata (free) offering to get your data to a central place and start your business intelligence reporting - ALL FOR FREE. <https://mozartdata.com/mozart-data-and-bigquery/>\n\n![](https://lh7-us.googleusercontent.com/VLxQv9WmV6PUd_VRSGK8Eycrlq_ZO1Ufsh86Omj4WGzYSvMSyio_aFAFFm50suDLOEAU-WxBaWkhLmaA3xUiPyt5R-ExWKpmzVaTg_UdguFvlDyPh485NNfvTdOeKZ6UN4hZhL7glPUNcbPJ6MGv3PQ)\n\nThis month, we’re launching **Mozart Data for BigQuery**. This is an extension of Mozart’s core offering: a **managed data platform** with best-in-class analyst support, so teams can reliably **centralize their data** and uncover actionable insights to drive their business more successfully. \n\nWe’ve helped hundreds of companies set up their data infrastructure without hiring a data engineer. With Mozart, you can set up BI reporting to have a business overview, answer questions about what customer segments are good from a usage or advertising perspective, and even gain insight into what customers are at risk of churn. \n\n**Best In Class Modern Data Stack:** \n\nSince YC’s S20 batch, we’ve had a Henry Ford-like stance on the Model T – any color the customer wants, as long as it’s black, or any data warehouse you want so long as it’s Snowflake.\n\nWe have always believed that we should offer a best-in-class gluing together of the modern data stack, so that startups can set up their data infrastructure without a data engineer, while also being able to set up their data infrastructure quickly without being slowed by the paradox of choice.\n\n![](https://lh7-us.googleusercontent.com/ZAqzbGQWvrFAJkhcQngoYlh_FFJlqvkino8OF5Y36mfGvVPj58G1TfAbZlfw8ubMm5-ic6Is__j-KdPbf_tJwGuIGNOIDUavikdjYH1RCfN0jh2hhACgHHKld1L37DWMEtbJ6755-BoelzMd04_yNOI)\n\n**Choose your Data Warehouse**: \n\nNow, we are changing – Mozart will help you get up and running with either Snowflake or BigQuery as your data warehouse. We want to help you use your GCP credits to get your data set up with an ETL and a data warehouse. You get first-class data infrastructure from the start without needing the data engineer to help make it happen – we’ll do it for you.\n\nAgain, the Mozart team will help you use your GCP credits and get your data infrastructure to a strong, self-sufficient state so that you can begin to use BI tools to optimize and report on your business. If using YC deals, this can be done for free.\n\n![](https://lh7-us.googleusercontent.com/o8z17dm77X-Atz10mA3vPdBSMR5J081iYxkqyO4LbNP_zCOOiFHuzTeCmaFtP3l6SRFI-Uel-zCpbezXCAAHaJ_WySxNnOYNt3JKNOD46LEBmMvV-0Yj7Xp4CxhYNuloJy5DmIKtrjqARG1gYxhM01I)\n\n**Learn more, and sign up:** \n\nWant to learn more about Mozart Data’s product and Google BigQuery integration, or just want to chat about data infrastructure or analytics, ping [support@mozartdata.com](mailto:support@mozartdata.com).",
        "url": "https://www.ycombinator.com/launches/L2t-mozart-data-for-bigquery",
        "votes": 21,
        "created_at": "2024-05-16T20:12:22.106Z"
      },
      {
        "id": 70031,
        "title": "Mozart Data Sonata - we set up and maintain world-class data infrastructure (ELT & Warehousing) for FREE",
        "tagline": "Every company should have the ability to use a Modern Data Stack from the start",
        "body": "**tl;dr:** We set up and manage your data warehouse (Snowflake), extract and load your data (Fivetran), and provide you a layer for transformation so that you can clean and organize your data before visualizing it (in your favorite tool). If you have startup data volumes and you want a free solution that sets up in less than an hour with no data engineering needed, you can do this with the Mozart Data Sonata package. [Signup for FREE](https://app.mozartdata.com/signup-sonata)!\n\n—\n\nWe’re Dan & Pete, co-founders of [Mozart Data](https://www.mozartdata.com/), and the other maestros on the Mozart team.\n\n![uploaded image](/media/?type=post&id=70031&key=user_uploads/490519/74d9ddad-1710-4156-96fb-a83c044bf708)\n\n🧠 Dan is the CTO and a product-oriented software engineer, with expertise in user experience, data engineering, and data science. He has a long history of founding and working at numerous startups across a variety of industries, including gaming (Gamador YCW10), fintech (GogoCoin 500S15), and healthcare (Clover Health CLOV). He and Pete also co-founded [Bacon Hot Sauce](https://baconhotsauce.com/) in 2010, which sold hundreds of thousands of bottles.\n\n🎯Pete aka “Fish” is the CEO and has over a decade of running data and data-adjacent teams at startups in a variety of industries. These include gaming (Playdom/Disney), social (Yammer/Microsoft), HR/benefits (Zenefits), real estate (Opendoor), cannabis (Eaze), B2B (GoDaddy), and sports (Philadelphia Eagles). He has a Ph.D. in economics and loves talking about correlation vs. causation.\n\n# What is the Modern Data Stack and why does it matter?\n\nWe jokingly say that the Modern Data Stack is about 500 logos on a VC pitch deck slide. Navigating through the noise is challenging because many of the modern tools aim to solve advanced problems that most companies never encounter. Instead, we’ve optimized the data infrastructure onboarding experience to be achievable without any data engineers or experts.  Mozart will set up your data pipelines – seamlessly gluing world-class ELT, data warehousing, data transformation, data monitoring & alerting, cost-optimization, and governance all together for you. This gives you the full power of a modern data stack (Snowflake + Fivetran) even if all you know is some basic SQL, so you can focus on your specific product and business challenges.\n\n![uploaded image](/media/?type=post&id=70031&key=user_uploads/490519/fe251d78-d894-4e17-bfb9-10622d4ab9cb)\n\nEarly examples of analysis teams do with a Modern Data Stack:\n\n* Answer basic questions (with auto-update) like: How many customers do we have? What does our revenue/cost look like over time?\n* Set up an Investor Dashboard with core metrics using Metabase to visualize\n* Set up Slack or email alerts when events happen in your application db\n* Get your Salesforce/Stripe/Shopify data syncing to GSheets\n* Reconcile how much each client is supposed to be paying and is actually paying\n* Set up a test and alert that we have a first and last name for every client (or any other necessary condition)\n* Push cleaned data about clients to a GSheet for customer service or operations teams to consume\n* View basic product funnels with Segment data through your favorite BI tool\n* Set up lead and churn (likelihood) scores for prospects and customers\n* SQL query collaborative editing with version control backed by GitHub\n* Save money on platforms that price based on seats with the same visibility into performance\n* Set up your long-term data infrastructure that can scale cost-effectively\n\nThere are many reasons to get your data infrastructure set up early.  There are many quick wins from reporting, alerting, effective operations, governance, and cost-saving.  With tools like Mozart Data, you can do this without data engineers.  With our Sonata package, you can see the value in the data for yourself for FREE.\n\n# Our ask 🙏\n\nGive Mozart Sonata a try, [sign up here](https://app.mozartdata.com/signup-sonata)\n\n* Bonus: self-serve\n* Double Bonus: load your first data source (just credentials needed), schedule a transformation, or graph/visualize a key metric\n* Triple Bonus: share your feedback with us at [founders@mozartdata.com](mailto:founders@mozartdata.com)",
        "url": "https://www.ycombinator.com/launches/IDX-mozart-data-sonata-we-set-up-and-maintain-world-class-data-infrastructure-elt-warehousing-for-free",
        "votes": 50,
        "created_at": "2023-03-08T00:34:43.016Z"
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    "id": 22251,
    "name": "Nextstore",
    "slug": "nextstore",
    "former_names": [
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    "website": "https://nextstore.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Nextstore has been built over e-merchants desire for greater performance, suited analytics, and sleek UX. With an opinionated approach and a low-code environment, Nextstore offers the first mobile-native website builder.\r\n\r\nOur vision is to enable merchants to build outstanding online Experience with the control they need to be successful",
    "one_liner": "Mobile optimized storefronts for Shopify",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1597676468,
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    "batch": "Summer 2020",
    "status": "Inactive",
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    "url": "https://www.ycombinator.com/companies/nextstore",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/nextstore.json",
    "year_founded": 2020,
    "city": "Paris",
    "country": "FR",
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        "full_name": "Victor Ferrand",
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        "linkedin_url": "https://www.linkedin.com/in/victorferrand/",
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        "user_id": 479356,
        "full_name": "Arthur Bonnecarrere",
        "title": "Founder",
        "founder_bio": "Hey this is arthur, I'm a self-taught engineer who likes to code and fly :)",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/arthur-bonnecarrere-7036b314/",
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    "id": 22252,
    "name": "Reflect",
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    "website": "https://reflect.run",
    "all_locations": "Villanova, PA, USA",
    "long_description": "Reflect is a no-code tool for automated website testing. Instead of building and maintaining complex Selenium tests, companies use Reflect to run automated end-to-end tests without writing code.",
    "one_liner": "No-code test automation for web apps",
    "team_size": 6,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1595437275,
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    "url": "https://www.ycombinator.com/companies/reflect",
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    "year_founded": 2019,
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        "user_id": 505482,
        "full_name": "Fitz Nowlan",
        "title": "Founder",
        "founder_bio": "Software engineer and founder.",
        "is_active": true,
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        "user_id": 26261,
        "full_name": "Todd McNeal",
        "title": "Founder",
        "founder_bio": "Prior to Reflect, Todd was first engineer and later Director of Engineering at Curalate. Curalate went on to raise a Series C and was recently acquired by Bazaarvoice.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/toddmcneal/",
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        "title": "The Next Chapter: Why we are excited to join SmartBear | Reflect",
        "url": "https://reflect.run/articles/reflect-acquired-by-smartbear/",
        "date": "Jan 25, 2024"
      }
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        "id": 76109,
        "title": "ZeroStep - AI-assisted actions and assertions for Playwright tests",
        "tagline": "ZeroStep's ai() function unlocks the power of GPT3.5 and GPT4 to make Playwright tests simpler and more resilient to change.",
        "body": "[**ZeroStep**](https://zerostep.com/) is a JavaScript library that adds the power of AI to Playwright tests. ZeroStep’s **ai()** function lets developers test a web application using simple plain-text instructions, embedded directly in their Playwright tests.\n\nHere’s a complete Playwright test using ZeroStep that verifies the core “book a meeting” workflow in Calendly:\n\n```javascript\nimport { test, expect } from '@playwright/test'\nimport { ai } from '@zerostep/playwright'\n\ntest.describe('Calendly', () => {\n  test('book the next available timeslot', async ({ page }) => {\n    await page.goto('https://calendly.com/zerostep-test/test-calendly')\n\n    await ai('Verify that a calendar is displayed', { page, test })\n    await ai('Dismiss the privacy modal', { page, test })\n    await ai('Click on the first available day of the month', { page, test })\n    await ai('Click on the first available time in the sidebar', { page, test })\n    await ai('Click the Next button', { page, test })\n    await ai('Fill out the form with realistic values', { page, test })\n    await ai('Submit the form', { page, test })\n\n    const element = await page.getByText('You are scheduled')\n    expect(element).toBeDefined()\n  })\n})\n```\n\nSix months ago, we launched an AI “prompt” feature in [**Reflect**](https://reflect.run/), our low-code testing platform, that lets users execute actions and assertions from plain-text prompts. Since then, two-thirds of our customers have incorporated AI prompts into their Reflect tests. We’re convinced that AI will lead to a step change in how products are end-to-end tested, and want as many devs as possible to be able to take advantage of this new technology.\n\nWith ZeroStep, you can get the benefits of easy-to-write test steps and less flaky tests, with minimal changes to your existing Playwright testing workflow.\n\n**The biggest benefits of ZeroStep are:**\n\n* **Tests are easier to write**. Writing an ai() step is equivalent to describing the action (“Fill out the form with realistic values”), assertion (“Verify there are no errors displayed on the page”), or extraction (“What is the shopping cart total?”) in plain English. The AI does the rest. There’s no need to write selectors, or add data-test-id attributes all over your app so that your tests have stable locators. Our website and GitHub repo show several examples of tricky testing scenarios that are made easy with ZeroStep.\n* **Tests are less frustrating to maintain**. Unlike selectors, ZeroStep ai() steps are not tightly coupled to your app’s markup. The ZeroStep AI interprets your ai() steps at runtime which means even large scale changes in the app won’t break your tests, so long as your functional requirements remain unchanged. Selectors, in my opinion, are one of the worst leaky abstractions in software development. I can’t imagine how many dev hours have been lost due to them. We’re happy to not use any concept of selectors with this approach.\n* **It’s easy to ramp up**. ai() steps have no predefined syntax (unlike Cucumber). You just need to be able to clearly describe what action, assertion, or extraction you want the AI to perform.\n\n**Our Ask:**\n\nIf your front-end developers write and maintain Playwright tests, and would benefit from tests being faster to write and easier to maintain, we think they’ll love ZeroStep.\n\nWe offer a generous free tier and it’s easy to get started. More information is available at <https://zerostep.com/> and our GitHub repo: <https://github.com/zerostep-ai/zerostep>",
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        "votes": 10,
        "created_at": "2023-11-09T16:23:18.167Z"
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        "body": "## Mobile Rollbacks ensure your team is always just one click away from addressing critical bugs in production. \n\nNo one is immune from shipping critical bugs to production. No matter how extensive your test coverage, no matter how thorough your QA, no matter how much you put behind feature flags — your mobile team _will_ ship irreversibly-bad updates that break things and upset your users. \n\nThis is especially problematic for mobile because you can’t roll back immediately like your web or backend friends can. Rather, you have to triage the issue and assign it to the right team members, implement fixes (or carefully revert the offending changes), compile one or more RCs, upload to the stores, submit for review, then cross your fingers and pray to the store review gods for a speedy review. And the negative impacts of even just a few hours with a critically broken app can be eye-watering: tens or hundreds of thousands of dollars in lost revenue, a flood of negative user reviews, and overwhelmed CX or ops folks.   \n\nBut what if it didn’t have to be that way? What if you could instantly resolve a critical issue in prod, with a single click? Now, you can. \n\n### Recover from production issues in zero time — literally\n\nCritical issue? Roll back instantly. In the background of every normal release cycle, Runway automatically re-signs your last live production build and preps it for a possible rollback release — including preemptive submission for review (iOS only) — to remove all possible sources of delay. Should something go wrong in prod, there’s always a corresponding rollback build ready and waiting for single-click release in Runway. \n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b0344379d5700b526a01_deploy-rollback-button.png)\n\nHere’s how the rollback flow works in a bit more detail:\n\n1. Your team is busy getting your next regularly-scheduled release out the door. Let’s call it version 1.2.0.\n2. In the background, Runway takes your latest live build in production — say, 1.1.0 — and re-signs it, bumping the version to 1.2.1 and incrementing the build number as necessary.\n3. Your team releases 1.2.0 as scheduled. Nice!\n4. The 1.2.1 rollback release is surfaced in Runway, just in case. For iOS, we also preemptively create a new version for the possible rollback in App Store Connect and submit the rollback build for review.\n5. Your team is monitoring the rollout of 1.2.0 and identifies a critical issue 🚨You halt the rollout.\n6. Right next to the button you used to halt the rollout, there’s another button to release the rollback build that’s ready and waiting. Click that, and you’re all set.\n\nWith rollback builds primed and ready to go, your team can address critical bugs in prod with a single click — cutting out all the lead time needed to investigate and implement a fix, get builds compiled and uploaded, and make it through the store review process.\n\n### Take the pressure out of hotfixes; triage more fully and fix more confidently\n\nEven if you ship a rollback to address an issue in prod, it doesn’t mean you’ll necessarily wait until your next regularly-scheduled release to issue a fix. In fact, it’s likely you’ll use rollbacks in conjunction with roll-forward hotfixes — and those hotfixes will be better as a result. Because rollbacks allow you to instantly stabilize a critical situation, you can take your time in triaging, investigating, implementing fixes, and then working through your hotfix release process.\n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b0ce132292bf3747a1af_rolllout-rollbacks-final.gif)\n\n### More predictable resolution timelines & fewer unanswerable questions from stakeholders\n\nEvery team knows the feeling of dread that hits when you’ve shipped a breaking change and leadership shows up in your #mobile Slack channel. _Is the fix in yet? Is the build approved by Apple? How about now?_ With rollbacks in Runway, you can actually respond to these kinds of asks, and give stakeholders confidence that the situation is under control.\n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b15743d1af6cfd9dcf50_slack-popup.png)\n\n### When you need a rollback, it’s there for you (batteries included). When you don’t, we’ll handle all the cleanup.\n\nRunway’s rollbacks functionality encompasses quite a few dependencies and steps which, if approximated manually each and every release, would require a lot of work — not just to prepare each rollback, but also to clean up unused rollbacks along the way. Now, you no longer have to choose between investing huge amounts of time and effort into setting up rollbacks manually or else forfeiting the safety net rollbacks provide.\n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b18d930993fe03666aaa_rollback-settings.png)\n\nWith rollbacks, Runway gives your mobile team _the quickest_ possible way to respond to critical issues in production. Instead of scrambling to identify, implement, and ship a fix, you can immediately “stem the bleeding” and resolve things with a single click. Stakeholders won’t hover wondering when a resolution will land, and your team can triage and implement fixes more confidently, without all the pressure that typically accompanies hotfix situations. Plus, rollbacks mitigate the serious negative impact to revenue and app store reviews that comes with a buggy app being in users’ hands for even just a couple of hours.\n\n### How to give Rollbacks a try\n\nYou can sign up for free on the [Runway site](http://runway.team), no credit card required, and we’re always available to give you a guided walkthrough — just get in touch!",
        "url": "https://www.ycombinator.com/launches/JqL-mobile-rollbacks-by-runway",
        "votes": 9,
        "created_at": "2023-11-16T17:50:09.865Z"
      },
      {
        "id": 71808,
        "title": "📲 🚀 Build Distro by Runway",
        "tagline": "Better mobile build distribution for teams",
        "body": "## Build Distro makes it dead simple to get the right app builds into the right teammates’ hands\n\nMobile build distribution is hard. There’s the provisioning and signing gauntlet, of course, but the challenges don’t end there. Getting the right builds in front of the right teammates takes constant effort and shepherding, and creating an install flow that’s pain-free is difficult. Existing tooling options tend to jumble all different kinds of builds together and offer half-baked installation flows; the “human factors” aspect of build distribution is secondary, or ignored altogether.\n\nWe set about building a better, more foolproof and human-centric way.\n\n### What is Build Distro?\n\nBuild Distro allows you to clearly define and group the different types of mobile builds your team distributes – from one-offs and work-in-progress dev builds, to staging builds, to release candidates. You can avoid the usual jumbled pile of builds that folks have to carefully sift through, and give technical and non-technical team members alike an easier way to grab builds, with streamlined installation via QR or Slack link. With hassle-free distribution, your team can check out builds earlier and more often, improving collaboration and app quality.\n\nHere are some highlights:\n\n📲 **Get the right builds into the right people’s hands**\n\nBuild Distro introduces the idea of build buckets to allow you to clearly define and group different flavors of builds. Instead of having all distributed builds landing in that jumbled pile, you can now separate different kinds of builds using definitions based on branch, CI workflow, or some combination of both — or using more freeform, ad hoc buckets. Not only are build flavors logically separated into buckets, but you can set up targeted notifications and scope access per bucket to ensure the right people are aware of and able to seamlessly install new builds relevant to them.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/830900f0-fe8a-4c8e-b050-5b86956de7d5)\n\n**✨ Share one-offs & early test builds more easily**\n\nWith branch-based and ad hoc, personal build buckets, Runway makes it much easier to share work-in-progress builds. You can create dedicated buckets for test builds and nightlies on your main development branch or any feature branches, and everyone on your team can also have their own personal buckets to drop updates into as they work. Product managers, QA, designers, and other engineers and stakeholders can now easily grab any WIP builds, earlier and more often during the development cycle, helping your mobile org improve quality and shift left.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/e0e69e93-f6bd-4497-a3ed-7d50a23c68df)\n\n🔒 **Make it impossible to ship the wrong build to prod**\n\nOne of the worst failure modes around build distribution has to do with test or staging builds getting accidentally shipped to production. It may be rare, but when it happens, it can be devastating. Confusion around distributed build flavors is often to blame, and Runway’s build buckets remove this risk. Clearly delineate prod and pre-prod builds, and scope access accordingly.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/5c3d452c-2760-44b9-98c6-eb3b97edef2d)\n\n**📥 Install app builds with less hassle, and more context**\n\nEven once someone has tracked down a build they want to check out, actually getting it onto their device comes with its own hassles. Runway makes installation foolproof and seamless: with each build, you can install directly by scanning a QR code or sending yourself a link in Slack. Plus, alongside each build you can see full context on the build flavor and exactly what work it contains — no more guesswork, pinging build numbers back and forth and hoping you’re grabbing the right version of the app.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/a26f0045-ebdb-4b8b-9048-82f90457d415)\n\n⚙️ **Integrate with your existing tools for zero extra overhead**\n\nGetting up and running is simple: connect your existing CI and… that’s it. Once you’re connected, Runway will get you started with a few default shared buckets for development and RC builds, and anyone on your team can easily create scoped personal buckets. To define a new shared bucket, simply select a workflow (from among any defined in your CI, automatically pulled in by Runway), a branch, or some combination of both.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/1bef9a17-07df-4d74-8d39-b1607e832e8e)\n\n🤝 **Standalone or tightly integrated with the rest of Runway**\n\nExactly how you leverage Build Distro is up to your team. You can spin up Build Distro by itself and use it as a standalone tool. Or, for a tightly integrated experience across the entire dev and release cycle, Build Distro plugs seamlessly into Runway’s end-to-end release management platform as a beta integration, allowing you to manage everything to do with pre-prod builds and testers alongside the rest of the release context. \n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/21fcb35f-06ec-4ee9-8b97-529a179561bc)\n\n### Who is Build Distro for?\n\nBuild Distro is for mobile teams of all sizes who care about getting builds into the hands of team members and testers early and often. \n\nThere are a few team members that might be especially excited about Build Distro:\n\n* Mobile engineers who want to get more eyes on their in-progress work, well before it makes its way to the team’s main branch\n* PMs who care about checking out product work as it’s being developed, without having to hunt around for specific builds\n* QA folks who want to stay on top of testing without the volley of unintelligible build numbers over Slack\n* Anyone on the team, technical or non-technical, who cares about the product and wants to check out and help test builds pre-production\n\n \n\n### How to give Build Distro a try\n\nYou can sign up for free on the [Runway site](https://app.runway.team/signup?intent=buildDistro), no credit card required, and we’re always available to give folks a guided walkthrough as well – just get in touch!",
        "url": "https://www.ycombinator.com/launches/IgC-build-distro-by-runway",
        "votes": 9,
        "created_at": "2023-05-24T15:53:19.752Z"
      },
      {
        "id": 67143,
        "title": "📲 📈 Rollouts by Runway",
        "tagline": "Automate app rollouts with a full picture of release health",
        "body": "# A single source of truth for mobile release health, instantly understandable – and actionable\n\nAs former mobile engineers ourselves, the Runway team and I have experienced the challenge of rollouts firsthand  — and now, we’ve built something that can help. We’re excited to announce [_Rollouts_](https://www.runway.team/blog/introducing-rollouts-by-runway), a new part of the Runway platform that helps your team navigate rollouts with less collective stress, and more confidence. _Rollouts_ allows you to easily keep tabs on release health in just one place instead of many, alerts you whenever configured metrics become unhealthy, and safeguards release health by automatically halting rollouts based on thresholds you define.\n\n# What is _Rollouts_?\n\nHere are some highlights:\n\n### 🗺 The only complete picture of release health\n\nRollouts integrates with the mix of different tools you use to measure app health – crash reporting, observability & product analytics, the app stores (for per-version user ratings) – to create a single source of truth and unified dashboard that gives your team a holistic and instantly understandable view of release health at a glance. No more context-switching, no more mental overhead.\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/098822f9-93e6-4ac4-a612-c13ce50f187e)\n\n### 🌡 You define exactly what “healthy” means for your team\n\nAcross all tools and every metric, you can configure granular thresholds that together define what “healthy” looks like for your team. Runway will surface a crystal clear view of how each release is tracking relative to that definition. With expectations around health codified this way, there’s no room for ambiguity or hand-waving when it comes to your team’s standards for quality of the product you’re shipping.\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/479df881-d88e-4e1e-9cc2-d4ac27941bc4)\n\n### 🚨 Avoid blind spots and delays with instant alerting\n\nThe moment any of your configured metrics become unhealthy during a rollout, Runway will alert your team, in specific channels of your choosing and with full context on which metrics are problematic. You can be confident that no bad trends will go unnoticed – and that they can be acted on more quickly.\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/115d18e8-0167-47e6-8ce4-630bed0f564a)\n\n### 🛑 Automatically halt unhealthy rollouts\n\nBuilding on the custom thresholds you define, Runway can automatically halt unhealthy releases. With this automation enabled, if certain metrics of your choosing fall afoul of your acceptable thresholds during a rollout, Runway will automatically stop the rollout and alert your team. This prevents delays and human error, saving you from the negative consequences of a bad release making it out to even more users.\n\n_(Available on the Runway Pro plan and above.)_\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/7f6156eb-df96-4332-b4d7-c432c4aac58f)\n\n### 💨 Automatically accelerate healthy rollouts\n\nIf all of your metrics are looking good and your rollout has reached a minimum number of users you define, Runway can accelerate things and release to all users immediately. Getting a good release out to all users more quickly can be just as impactful as halting a bad release!\n\n_(Available on the Runway Pro plan and above.)_\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/9088b19a-3ce0-467f-a390-2368f4c92464)\n\n# Who is _Rollouts_ for?\n\n_Rollouts_ is for mobile teams of all sizes who care about the quality and health of the apps they ship. If you want to ensure you’re not shipping bad product and your users are having the best possible experience, without painstaking babysitting, _Rollouts_ is for you.\n\nThere are a few folks _Rollouts_ might resonate with especially:\n\n* Release captains/drivers/pilots who want to de-stress and de-risk the experience of being in the driving seat during a rollout\n* Mobile engineers who are tired of poking PMs to check on key events in some analytics dashboard they don’t have access to or don’t understand\n* PMs who are tired of said mobile engineers poking them all the time\n* Mobile leads or EMs who want to be sure their entire team has the full picture of release health, to foster a healthy sense of ownership and accountability\n* Engineering leadership who care about keeping tabs on their mobile org, easily and noise-free\n* Anyone and everyone who cares about app health and preventing bad releases from making it out to even more users\n\n \n\n# How to give _Rollouts_ a try\n\nYou can sign up for a free trial via the [Runway site](https://www.runway.team), no credit card required, and we’re available to give folks a guided walkthrough as well – just get in touch!\n\nFor indies, small teams, and YC fam, we’re happy to talk discounting too.",
        "url": "https://www.ycombinator.com/launches/HSx-rollouts-by-runway",
        "votes": 18,
        "created_at": "2022-11-04T20:56:59.348Z"
      }
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    "id": 22608,
    "name": "cloud humans",
    "slug": "cloud-humans",
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    "website": "https://www.cloudhumans.com",
    "all_locations": "New York City, NY, USA; São Paulo, SP, Brazil",
    "long_description": "cloud humans introduces claudIA, every startup's CX super agent.\r\n\r\nClaudIA is a GPT based bot who can answer any customer support tickets with zero tech effort and already integrated with your current flows and systems. \r\n\r\nWith ClaudIA, you can automate 55-90% of your customer's enquiries while maintaining the same service level you are proud of. Gain efficiency, scalability and quality today.\r\n\r\nTry it free (demo): https://www.cloudhumans.com/us/claudia-demo\r\nReach out if you have any questions: bruno@cloudhumans.com",
    "one_liner": "AI-powered customer service for startups",
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      "America / Canada",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Ian Kraskoff",
        "title": "Founder",
        "founder_bio": "In 2015, I became a door-to-door salesperson. Going outside, be it sunny or rainy, I realised how much opportunity was needed for talented people who worked in the front-lines. Before that, I had launched products for the unbanked population in the Americas. After that, I joined Uber Eats to launch it in Brazil, leaving the company as a GM. Most recently, I worked for Loft, a prop tech startup in Brazil, to lead it's the apartment acquisition area in addition to support and BPO. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/iankraskoff/",
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      {
        "user_id": 579722,
        "full_name": "Bruno Cecatto",
        "title": "Founder",
        "founder_bio": "If you're afraid to fail in a startup, you're destined to do so",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bruno-cecatto",
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        "user_id": 583141,
        "full_name": "Felipe Serra de Oliveira",
        "title": "Founder",
        "founder_bio": "I've spent the last 5 years building CloudHumans from the ground up with my cofounders — a company on a mission to reinvent how businesses scale customer support through AI. \n\nI cut my teeth scaling some of the most iconic marketplace companies in Latin America. At Rappi Brazil, I led complex operations at breakneck speed as the head of operations for Brazil. Before that, I launched UberEats in Brazil and drove its operations expansion across 30 cities, growing the business 9X",
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        "title": "Uber Mafia: 3 fundadores de startups que vieram da empresa de mobilidade urbana",
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        "title": "Endeavor revela as 102 empresas escolhidas para o Scale-Up 2022.2 - Época Negócios | Inovadores",
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    "name": "The Third Place",
    "slug": "the-third-place",
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        "full_name": "Vivien Sin",
        "title": "Founder/CEO",
        "founder_bio": "CEO of The Third Place",
        "is_active": true,
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        "full_name": "Glen Wang",
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        "is_active": true,
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    "id": 22625,
    "name": "gaiia",
    "slug": "gaiia",
    "former_names": [
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      "Gaiia"
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    "launched_at": 1612041832,
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      "Telecommunications"
    ],
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        "body": "### **Hi 👋**\n\nWe’re Jordan and Carlos and we’re excited to share our new product called [Waypoint](https://www.usewaypoint.com/). Waypoint makes it easy for software teams to design, orchestrate, monitor product-triggered emails. Think of it as an email delivery service that is geared for data-rich transactional emails (like order confirmations, reminders, receipts, alerts, and other system notifications).\n\n### **The problem**\n\nAdding data-rich email notifications to software in 2023 is still a pain. Most email tools are repurposed marketing email builders for templates with little to no dynamic data. This means getting data into branded templates and setting up logic around them (eg. delays) still requires significant code within your code base. Additionally, existing tools are lacking from an observability standpoint which makes it difficult for developers to test and debug.\n\nWhile it’s easy to hate on emails, the truth is that emails still act as the ‘[glue of UX](https://www.usewaypoint.com/blog/transactional-emails-the-glue-of-ux-for-marketplaces)’ for most platforms and it is often the key to onboarding and engaging users.\n\n### \n\n### **The solution**\n\n\\\n**Demo video (4.5 min)**\n\n<https://www.youtube.com/watch?v=VVz4cupc8gA>\n\n\\\n**Design**\n\n![uploaded image](/media/?type=post&id=71975&key=user_uploads/18473/8cfed776-9039-4bee-8f46-0d679c59d098)\n\n* Create templates that match your brand in minutes.\n* Use our block-based template builder that works seamlessly with [Liquid templating](https://liquidjs.com/) and [Markdown](https://www.markdownguide.org/).\n* Build with confidence knowing templates render well across clients and devices.\n\n\\\n**Orchestrate**\n\n![uploaded image](/media/?type=post&id=71975&key=user_uploads/18473/610a5230-8d68-4cd8-b6a2-3924c2cd6731)\n\n* Trigger templates and workflows using our simple [developer friendly API](https://www.usewaypoint.com/docs).\n* Automate workflows with conditionals and delays using a visual builder.\n* Deliver emails reliably through world-class infrastructure.\n\n\\\n**Monitor**\n\n![uploaded image](/media/?type=post&id=71975&key=user_uploads/18473/aa5c76c1-3ae6-4c24-9c22-587d837d450e)\n\n* See a full timeline of events. From initial trigger to clicks.\n* Be informed of bounces or any other exceptions.\n* Log a receipt of the full email content and data variables for every mail.\n\n\\\n**Customer quote**\n\n> _\"Waypoint team and support surpassed our expectations, ensuring a seamless transition from Sendgrid. Their liquid templating simplified the conversion of our existing emails, and since migrating, their service has been flawless. Our emails no longer end up in spam folders, leading to an impressive increase in our onboarding conversion rates. Waypoint's fast and reliable deliverability has taken our account verification success from below 50% to nearly 100%.”_\n\n– Dallin Dyer, CTO of [Dree.com](http://Dree.com)\n\n### \n\n### **Interested?**\n\nWe’d love to help. [Request access](https://www.usewaypoint.com/access) on [Waypoint](https://www.usewaypoint.com/) and mention ‘Launch YC’ to get to the front of the waitlist.",
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        "body": "**TL;DR:** **Vogent's Voice Agent Wizard uses AI trained on thousands of real agent designs to generate complete, ready-to-deploy voice agents from a simple description and any relevant files**\n\nhttps://youtu.be/IKisqK4cO5U\n\nBuilding a performant voice AI agent today means weeks of trial and error—clicking through dashboards, configuring countless parameters, testing edge cases, and waiting on support tickets. By the time you've iterated your way to something that works, your competitors have shipped and your launch momentum is gone.\n\n**Introducing Vogent's Voice Agent Wizard.** Trained on thousands of real agent design processes, our wizard understands what makes voice agents work in production. Just describe what you want your agent to do, attach a few transcripts or conversation examples, and it builds a complete, production-ready voice agent in minutes—not weeks.\n\nThe wizard handles everything: reasoning through the right agent architecture for your use case, configuring optimal parameters, generating appropriate system prompts, and even anticipating edge cases based on patterns it's learned from real deployments. What used to take experienced engineers days of iteration now happens automatically.\n\nThe result? You can go from idea to deployed voice agent immediately. Test new use cases instantly. Iterate in real-time based on user feedback. Focus on building your product, not wrestling with infrastructure.\n\n**Try the Agent Wizard today at [app.vogent.ai](http://app.vogent.ai)**\n\n![uploaded image](/media/?type=post&id=95431&key=user_uploads/539546/0cb9a065-4760-44be-bdce-c3e00b4f1636)\n\n",
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        "body": "We’re excited to launch **Vogent Voicelab (vogent.ai/voicelab): an optimized API to run top open-source voice models.**\n\nNew open-source text-to-speech models come out every week, with many ranking as state-of-the-art on popular benchmarks.\n\nHowever, most of these models are not readily usable for high-volume, low-latency inference. Additionally, some research preview models can struggle with hallucinations and inconsistent outputs. Finally, as with any model, hosting yourself and managing compute can be a headache.\n\nVoicelab solves these problems:\n\n1. Voicelab maintains a proprietary inference stack that is optimized to serve text-to-speech transformers efficiently and scalably.\n2. Voicelab post-trains select models to improve consistency and offer high-quality professional voice clones.\n3. Voicelab manages all compute, so you can pay for these models per-character instead of managing GPUs.\n\nAll of this is exposed through a standard text-to-speech API (with streaming/websocket support) and an online playground.\n\nDocs: [docs.vogent.ai/voicelab](http://docs.vogent.ai/voicelab)\n\nTTS Playground: [app.vogent.ai](http://app.vogent.ai)\n\nhttps://youtu.be/KMIVXYhb7lY\n\n![uploaded image](/media/?type=post&id=91917&key=user_uploads/539546/a6d5dd4f-0ed4-4ed9-9d69-8b12308b3e1d)\n\n",
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        "title": "Vogent: *Insanely* Realistic Voice Agents powered by Sesame",
        "tagline": "Humanlike & realtime voice agents, powered by a re-engineered Sesame CSM-1B",
        "body": "TL;DR: Make your voice agents _way_ more realistic and stop getting hangups. Check it out in action at or talk to it yourself by calling our AI Trump voice agent at (510) 315-0014 or [**vogent.ai/sesame**](http://vogent.ai/sesame)\n\nVogent powers millions of voice AI phone calls for healthcare, customer support, travel, and more.\n\nToday, we’re launching the **most realistic realtime voice engine** ever. It inserts natural pauses and disfluencies (“um”, “uh”) without being explicitly prompted, and is _uncannily_ good at cloning voices. Check it out in the videos below:\n\n<https://youtu.be/CbqTfVQGcd0>\n\n<https://youtu.be/QLiYmsw2-zk>\n\nHow did we do it?\n\nIf you’ve been online recently, you’ve probably come across Sesame’s super humanlike voice AI, and their open-source launch of CSM-1B, a 1B-parameter text-to-speech model.\n\nWe’ve spent the past couple of weeks rearchitecting CSM-1B from the ground-up to support realtime, low-latency inference, and we’ve finally cracked it. The results are pretty insane; it’s a step-function increase in realism (customer hangup rates have decreased by 60%+), and we made it available out-of-the-box.\n\nIf you want to create your own Sesame agents, sign up at [**app.vogent.ai**](http://app.vogent.ai), and select one of our Sesame voices. You can also use Sesame to clone new voices, as long as you have a 10-15 second reference clip.\n\nWe’re also releasing a realtime Sesame TTS soon; email [j@vogent.ai](mailto:j@vogent.ai) for beta access.",
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        "title": "Vogent: Self-Learning Voice AI",
        "tagline": "Vogent builds voice AI agents that design and improve themselves",
        "body": "Announcing Vogent Self-Learning: 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐭𝐡𝐞𝐦𝐬𝐞𝐥𝐯𝐞𝐬, learning from real failure cases and requiring no prompt engineering. No more need for hundreds of prompt iterations, or burning GPU (and human) hours on fine-tunes that don’t work.\n\nUsing reinforcement learning methods, like the kinds used by Deepseek and other research labs, our voice agents design themselves given call recordings, and improve themselves by evaluating every single dial and correcting bad behaviors.\n\nSign up by going to [app.vogent.ai](http://app.vogent.ai) and clicking “Self Learning”\n\n<https://www.youtube.com/watch?v=Bg6K3wXxozQ>",
        "url": "https://www.ycombinator.com/launches/N1x-vogent-self-learning-voice-ai",
        "votes": 12,
        "created_at": "2025-03-12T19:11:45.614Z"
      },
      {
        "id": 87288,
        "title": "Vogent: Build Voice AI Agents, Fast",
        "tagline": "Vogent is the all-in-one platform for building effective voice agents quickly",
        "body": "**TL;DR**: [**Vogent**](https://vogent.ai/) is an all-in-one platform for building voice agents by using intelligent building blocks, including drag-and-drop conversational flow builders, IVR detection models, spelling-optimized voices, custom phone-ready LLMs, and more. Vogent is made for developers and no-code users alike.\n\n<https://youtu.be/mu1rHsGjiMU>\n\n# The Problem\n\nWe’ve spent the past year building high-volume voice AI agents for a number of big-ticket customers, including the second largest prescription network in the US, the biggest flight and hotel booking sites in Europe, top-10 health insurance companies, car dealership chains, and more.\n\nWhile the core voice agent cycle (STT-LLM-TTS-VAD) is a mostly solved problem at this point, the last-mile problem for making these agents performant was frustrating. We ended up building a lot of band-aids, and we decided to consolidate all of the tools that we used to build these agents into a self-serve platform for developers and non-developers alike.\n\n# How Vogent Works\n\nVoice AI isn’t new, and neither are platforms to build agents. Our approach is to also offer higher-level building blocks that make it easier to build performant agents that can handle complex tasks. These include:\n\n* Our drag-and-drop flow builder, which lets teams build agents that are both conversationally flexible and aligned to a task.\n* Our counterfactuals feature, which lets you test new agents on past calls\n* Our IVR detection model, which can tell the difference between a human or prerecorded message and navigate the latter\n* Custom, in-house voices that are optimized for realistic numbers and spelling\n* LLMs fine-tuned on millions of phone conversations that can be easily prompted to follow phone-call tasks\n\nAs well as other powerful abstractions.\n\nOur other focus is providing as much to developers as possible. We expose most of our platform through GraphQL and REST APIs, and we have a JS SDK that makes voice as easy to add to your product as any other AI modality. (Mobile SDKs in beta – email [j@vogent.ai](mailto:j@vogent.ai) for access!)\n\n# Get Started \n\n* Sign up now at [**https://vogent.ai**](https://vogent.ai) \n* Join our Discord - [**https://discord.gg/JmThYcyG**](https://discord.gg/JmThYcyG)\n* Follow us on X - [**x.com/vogentai**](http://x.com/vogentai) \n* Follow us on LinkedIn - [**linkedin.com/company/vogent**](http://linkedin.com/company/vogent) \n* Email us directly: [**j@vogent.ai**](mailto:j@vogent.ai) \n\n![uploaded image](/media/?type=post&id=87288&key=user_uploads/539546/65341827-c3b0-40fe-9fa1-e9fede328808)\n\n",
        "url": "https://www.ycombinator.com/launches/Mhs-vogent-build-voice-ai-agents-fast",
        "votes": 78,
        "created_at": "2025-01-29T20:41:57.759Z"
      },
      {
        "id": 80688,
        "title": "Elto AI: The AI that makes phone calls",
        "tagline": "Elto is an AI that talks on the phone, automating tasks in healthcare, operations, staffing, government, and more.",
        "body": "**tl;dr:** Elto AI is a highly authentic, low-latency conversational AI that can make phone calls. Elto has automated phone calls to/for health systems, insurance providers, pharmacies, staffing agencies, municipalities, and more. Get a call from the AI at <https://elto.ai>!\n\n![uploaded image](/media/?type=post&id=80688&key=user_uploads/539546/d298a29f-a5c3-4cde-a2c4-d2455baa28be)\n\nElto is an end-to-end platform for training, deploying, and monitoring AI voice agents that make phone calls.\n\n### The Problem\n\nPhone calls are the most reliable way to execute tasks and receive information, whether it’s checking the status of an insurance claim or canvassing potential voters. Unfortunately, making phone calls is expensive, time-consuming, and resource-intensive; an offshore human caller can only make 100-300 dials a day, and increasing the number of humans dialing adds management burden. Making calls time-sensitive only adds to the operational complexity.\n\nOthers’ attempts to solve this problem with AI fall short; chaining together out-of-the-box API’s makes conversational agents that are difficult to train and **very** slow to respond.\n\n### Our Solution: Custom, Low-Latency Voice Agents\n\nIt took a while for us to get here -- we tried to get a version of this working a year ago by naïvely chaining together transcription, language, and text-to-speech services, but we ran into the problem that most AI voice agent solutions have: the latency was too high, instructing unspecialized models to execute tasks on the phone was difficult, and the realism was just not there.\\\n\\\nFast-forward a few months; our parallel dialer ([eltodialer.com](http://eltodialer.com)) was growing quickly, and we realized that it gave us what we needed to fix our earlier issues: from a small subset of consenting customers, we were able to gather troves of conversational data to train condensed, specialized models that were low-latency and worked well on the phone with prompting and few-shot fine-tuning. The dialer also gave us robust infrastructure for serving and monitoring hundreds of thousands of dials a day.\\\n\\\nWe've used that data and infrastructure to build an end-to-end in-house pipeline for training easy-to-teach, low-latency, realistic voice agents, and have worked with a handful of pilot customers to get the agents to execute tasks consistently. Elto's AI now runs tens of thousands of dials daily with no human oversight, automating work for verticals from logistics providers and healthcare payers to staffing solutions and municipalities, and more, with failure rates lower than those of human callers.\n\n![uploaded image](/media/?type=post&id=80688&key=user_uploads/539546/05909c0f-0456-453f-b49a-94de17a161ca)\n\n\\\n\\\nWe're now making the platform generally available on an invite basis. Sign up for an invite on the site!\\\n\\\nNote: we _do not_ support sales use-cases for Elto AI, due to TCPA regulations. Check out our parallel dialer ([eltodialer.com](http://eltodialer.com)) instead!",
        "url": "https://www.ycombinator.com/launches/KzQ-elto-ai-the-ai-that-makes-phone-calls",
        "votes": 22,
        "created_at": "2024-05-07T20:02:59.841Z"
      },
      {
        "id": 74607,
        "title": "Elto: Human-in-the-loop AI call center (50% cheaper than typical call center/BPO)",
        "tagline": "Powered by AI, Elto automates calls with intelligent agents and human interjection, translating to a 50% lower cost of operations.",
        "body": "**TLDR:** [**Elto**](https://elto.ai) is a human-in-the-loop AI-powered call center. We automate phone call tasks in ops/support/etc. with AI, while employing a team to oversee the phone calls and interject when necessary. This enables us to offer call center services for a fraction of the price of normal BPO solutions (typically 50% off), while handling more complex tasks, maintaining higher quality conversations, and ramping up more quickly on a task than an AI alone could.\n\nHey everyone,\n\nWe’re excited to launch the evolution of [Elto](https://elto.ai), an AI that makes phone calls, with a great slate of pilot customers calling insurance, tax agencies, and more. Though our initial offering was primarily an AI agent to automate phone calls for ops/support tasks, we’re now expanding to a fully managed human-in-the-loop call center, to enable more complex call tasks and a quicker implementation cycle for the AI.\n\nIf you currently employ a BPO firm, call center, or dedicated team members for handling (non-sales) phone calls, our team will manage the task for 50% less. If you’re interested, please reach out to [**j@elto.ai**](mailto:j@elto.ai) and we can get started with a POC easily.\n\nNote: We do not support outbound sales tasks, due to TCPA regulations.",
        "url": "https://www.ycombinator.com/launches/JPL-elto-human-in-the-loop-ai-call-center-50-cheaper-than-typical-call-center-bpo",
        "votes": 13,
        "created_at": "2023-09-04T17:27:53.447Z"
      },
      {
        "id": 72727,
        "title": "Elto - AI-powered parallel dialer",
        "tagline": "10x your cold-call volume with AI",
        "body": "TLDR: Elto dials up to 6 prospects at once, detects when a human picks up, and immediately drops the user into the call. Spend less time waiting on dial tones and voicemail, and more time on the phone with engaged prospects. \n\nHey everyone, \n\nWe’re Jagath and Vignesh, and we’re building Elto. Elto is an AI-powered parallel dialer that makes cold-calling _way_ less painful and more productive. \n\n**The Problem** \n\nCold-calling _sucks_. Sitting through dozens of dial-tones and voicemail inboxes can be exhausting and demoralizing, and while getting on the phone with an engaged prospect can be magical, it’s easy to go through multiple _days_ without a productive conversation. With a 3% pickup rate, for example, it can take **2 hours** of dialing to get a prospect on the phone (let alone a prospect who converts!).\n\n**The solution**: Elto **dials 6+ contacts in parallel, detects when someone answers, and connects the pickup to the user.** The rest of the calls disconnect immediately, so they can be re-dialed later.\n\n![uploaded image](/media/?type=post&id=72727&key=user_uploads/539546/969b79ec-53c4-4439-9a66-aa85c97fa272)\n\nUsing Elto increases the number of engaged leads on the phone in a single calling session by an **order of magnitude**. It also integrates seamlessly with your CRM (HubSpot, Salesforce, etc.) and/or SEP ([Apollo.io](http://Apollo.io), Salesloft, Outreach, etc.), so you can import contact lists/sequences/due call tasks and write call recordings, transcriptions, and dispositions back to your platform of choice.\n\n**Want to get started?** [Schedule a time to get set up.](http://calendly.com/elto/elto_get_started)",
        "url": "https://www.ycombinator.com/launches/Iv1-elto-ai-powered-parallel-dialer",
        "votes": 22,
        "created_at": "2023-07-03T14:35:59.607Z"
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    "one_liner": "The solution for fine-grained access control in web3",
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        "full_name": "Rob Picard",
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        "is_active": true,
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    "one_liner": "Analytics, built for the trades.",
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        "title": "Avocado 🥑 Restaurant POS with a built-in AI agent",
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        "body": "## **🚀 We’re launching Avocado – Restaurant POS with a built-in AI agent**\n\n👋 Hi YC! We’re Nick Evans and Shayan Guha, co-founders of **Avocado** - a point-of-sale system for restaurants that now includes a **fully integrated AI assistant**. We’re thrilled to share our biggest update yet.\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/ce5f4736-b005-49ce-b579-8bf8596ce1e8)\n\n---\n\n## **🧠 The problem: running a restaurant is overwhelming**\n\nIndependent restaurant owners juggle dozens of tools, dozens of vendors, and constant interruptions - all while trying to serve food and keep customers happy. Managing the POS, updating menus, pulling sales reports, figuring out Instagram posts, dealing with changing prices… it’s a full-time job _on top of_ their actual full-time job.\n\nBut the real bottleneck? **Information is trapped in systems that don’t talk to each other**, and most POS systems are clunky, hard to use, or just dumb.\n\n---\n\n## **🍳 The solution: an AI agent that _knows_ your restaurant**\n\nAvocado is a POS system designed from the ground up to work with an AI assistant. Our agent understands your menu, your modifiers, your sales data, your customers, your staff - and it can take action across the system in real time.\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/4f4d0889-0077-48bd-a427-72d160f30492)\n\nYou can ask it:\n\n* “Add a matcha latte to the menu for $5.50”\n* “What’s my best-selling item on weekends?”\n* “Update all egg-based items to reflect the new cost of eggs”\n* “Create a social media post featuring today’s specials”\n* “Tell me which servers had the highest tips last week”\n\n…and it just **does it**. Right away. No UI to navigate, no learning curve, no training required.\n\n💡 This is more than a chatbot. This is a **restaurant-native AI agent** with full control over the POS, KDS, kiosk, and online ordering systems - like having a superpowered GM in your pocket.\n\n---\n\n# **Check out our launch video here**\n\nhttps://www.youtube.com/watch?v=O2QaQdDJlb0\n\n---\n\n# **✨ Here are some examples from the video:**\n\n**Prompt** “Add a matcha latte to the menu”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/f4589fd7-69da-40c2-8d3f-a16fd766dbad)\n\n**Prompt** “Write an Instagram post announcing our new matcha lattes”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/3e7c0988-ed76-486c-b3e0-e96ecb21629f)\n\n**Prompt** “Raise all the prices of my egg dishes by 10%, round to the nearest quarter”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/0bfaae04-2776-442b-b3ba-3679ecedf2c7)\n\n**Prompt** “We’re out of bacon. Mark everything with bacon as out of stock.”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/2f4ec1fd-7ff8-4720-bce0-753093934587)\n\n\\\n**👩‍🍳 Why we built Avocado**\n\nWe’ve worked with restaurants for years and have seen the same story over and over: people want to focus on hospitality and food - not software. But they were stuck with outdated POS systems or janky integrations between too many tools.\n\nSo we built Avocado to be the _last_ system a restaurant needs - tightly integrated hardware + software, a beautiful POS UI, and now, a deeply capable AI agent.\\\n(Also, we were frustrated that nobody else had done it right. So we did.)\n\n---\n\n## **📣 Call to action**\n\nWe're looking to work with independent restaurants, food trucks, cafes, and anyone tired of using 5 different tools to run their shop. If you want to try Avocado or just want to chat about what we’re building:\n\n📬 Email us: [founders@avocadopos.com](mailto:founders@avocadopos.com)\\\n📱 Text us: (512) 580-7988\\\n🌐 Website:[ https://avocadopos.com](https://avocadopos.com)\n\n---\n\n## **🙏 Asks**\n\n* If you know restaurant owners - especially in Texas or California - please send them our way.\n* We’d love feedback on the demo and ideas for what the AI agent should do next.\n\nThanks YC - can’t wait to hear what you think.\\\n**Nick & Shayan**\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/00157e2d-711b-4e9d-a612-d43f7e95d3b3)\n\n",
        "url": "https://www.ycombinator.com/launches/Nt3-avocado-restaurant-pos-with-a-built-in-ai-agent",
        "votes": 18,
        "created_at": "2025-07-03T13:21:35.353Z"
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        "id": 67457,
        "title": "Laudspeaker: Open source cross-channel customer messaging. Send emails, Slack + more, automated",
        "tagline": "An Open Source alternative to customer io / braze / iterable",
        "body": "Tl;dr: You can self-host or use our hosted offering of a customer io / braze / iterable alternative, so you can send product/ event-triggered cross-channel messages while keeping control of your customer data.\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, slack, and more automatically reach your users when, where and how you want.\n\nUse our easy to use no-code builder to create cross channel ‘customer journeys’ like this:\n\n![](https://uploads-ssl.webflow.com/636148ce188ecb92e3a6c055/6362dbf442adb780bbf6b4bd_%5B720p%5DJourney-Builder-v2.gif)\n\n### **Why build another cross-channel automation product?**\n\nIn the past when we used \"customer engagment\" products or \"cross channel marketing\" products like braze we were both uneasy about having to send customer data to various 3rd party tools, and frustrated by how expensive and hard to use many of the offerings were. \n\n### **We wanted to build something that:**\n\n* Allows you to stay in control of your customer data (self host, export/import data)\n* Is affordable\n* Has a rapidly increasing number of messaging channels (email, slack, sms (beta) and soon more!)\n* Integrates well with product analytics software (we have a posthog plugin)\n* Is performant\n* Plays well with the modern data stack\n\nWe think Laudspeaker is differentiated by being open source and hitting the above points.\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://www.producthunt.com/products/leadshunt):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)",
        "url": "https://www.ycombinator.com/launches/HY1-laudspeaker-open-source-cross-channel-customer-messaging-send-emails-slack-more-automated",
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        "created_at": "2024-01-09T21:22:33.535Z"
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        "id": 72214,
        "title": "Laudspeaker In-app guide designer",
        "tagline": "Let us set up in-app guides / onboarding for you!",
        "body": "Hey YC!\n\nLaudspeaker now offer in-app guides / product onboarding, so you can design beautiful modals with buttons and interactions that drive specific actions on your site.\n\nHere's what it looks like:\n\n![uploaded image](/media/?type=post&id=72214&key=user_uploads/362639/59de7f19-0ea4-43b1-8a38-280d6de75f0d)\n\nYou can use these modals, as tutorials, tours, banners really any thing to drive deeper product/feature adoption. Our modal designer allows you to capture your existing product style, and lets you create and change campaigns without having to include engineering effort on every single change.\n\nWe also allow you to:\n\n\\- track user state so you know which step a user is on\n\n\\- create complex campaigns that include emails, and other out of product messaging.\n\n\\- integrate with product analytics systems so you trigger a tour based on a user event\n\n\\- target anonymous users (most other platforms make this hard)\n\nIf you are considering Pendo, appcues or something similar you should consider us instead, we will go beyond offering you a deal on price and actually help you set up the modal flows and optimize them so you achieve your goal.\n\nHere's a [video of our designer](https://www.loom.com/share/2632226ec0eb4a17a5ed98b01c5abb2a?sid=50ea554b-1ef3-410c-a0f4-6cdafe4d7026)!\n\n**Our Offer:**\n\nWe'll build and design your modals and in app guides/messages for you, and get you set up and running! Feel free to email abe \\[at\\] laudspeaker, or schedule time on my [cal](https://cal.com/laudspeaker/20-min-meeting) and we can figure out if we are a fit.\n\nWe can only work with the first ten or so companies who reach out and are a fit so get the offer while its hot!",
        "url": "https://www.ycombinator.com/launches/Imk-laudspeaker-in-app-guide-designer",
        "votes": 13,
        "created_at": "2023-06-12T20:05:04.164Z"
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        "title": "Laudspeaker v1.1.0 open-source customer journey automation - a braze / iterable alternative",
        "tagline": "Open Source Omnichannel Messaging. Email, SMS, Push + more, automated",
        "body": "**Tl;dr:** Our open source customer journey automation tool / customer io / braze alternative, is picking up steam, and we support many more features and channels now! Use a tool product marketers love, that is developer friendly, and can be self hosted!\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n![uploaded image](/media/?type=post&id=70036&key=user_uploads/362639/0b45cf85-4e87-4c87-9d5f-c4706d834f74)\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, sms, and push automatically reach your users when, where and how you want.\n\n### **🚀 Since our last launch:**\n\nWe’ve been working like crazy, onboarding customers and responding to feature requests. Our [github](https://github.com/laudspeaker/laudspeaker) repo has been picking up steam and we now have many new contributors.\n\nWith this release we have added:\n\n* New Channels (SMS, firebase push)\n* Improved the UX of our journey builder no code tool\n* Added time delays, and time windows as options for sending messages so you can send drip campaigns\n* Added the ability to create user segments\n* Added database imports (postgres) for customers, and csv imports\n* Improved our PostHog Plugin\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://github.com/laudspeaker/laudspeaker):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)",
        "url": "https://www.ycombinator.com/launches/IDc-laudspeaker-v1-1-0-open-source-customer-journey-automation-a-braze-iterable-alternative",
        "votes": 23,
        "created_at": "2023-03-08T05:24:31.508Z"
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        "id": 67458,
        "title": "Laudspeaker: an opensource customer io / braze / iterable alternative",
        "tagline": "Open Source Cross-Channel Messaging. Email, Slack + more, automated",
        "body": "Tl;dr: You can self-host or use our hosted offering of a customer io / braze / iterable alternative, so you can send product/ event-triggered cross-channel messages while keeping control of your customer data.\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, slack, and more automatically reach your users when, where and how you want.\n\nUse our easy to use no-code builder to create cross channel ‘customer journeys’ like this:\n\n![](https://uploads-ssl.webflow.com/636148ce188ecb92e3a6c055/6362dbf442adb780bbf6b4bd_%5B720p%5DJourney-Builder-v2.gif)\n\n### **Why build another cross-channel automation product?**\n\nIn the past when we used \"customer engagment\" products or \"cross channel marketing\" products like braze we were both uneasy about having to send customer data to various 3rd party tools, and frustrated by how expensive and hard to use many of the offerings were.\n\n### **We wanted to build something that:**\n\n* Allows you to stay in control of your customer data (self host, export/import data)\n* Is affordable\n* Has a rapidly increasing number of messaging channels (email, slack, sms (beta) and soon more!)\n* Integrates well with product analytics software (we have a posthog plugin)\n* Is performant\n* Plays well with the modern data stack\n\nWe think Laudspeaker is differentiated by being open source and hitting the above points.\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://github.com/laudspeaker/laudspeaker):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)",
        "url": "https://www.ycombinator.com/launches/HY2-laudspeaker-an-opensource-customer-io-braze-iterable-alternative",
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    "long_description": "Axiom.ai is building a no-code browser automation tool. This lets anyone automate repetitive work by recording clicking and typing actions in their browser.\r\n\r\nWe think the market has huge potential - companies like UiPath built $10 billion+ businesses by automating processes on the desktop - an industry now known as Robotic Process Automation (RPA). We think RPA has a lot more potential outside the Enterprise. \r\n\r\nAxiom is on its way to being the industry-standard RPA tool for the browser. It now ranks alongside Selenium - the historical industry standard - as the top result when searching for ‘Browser Automation’ on Google, and is the top-result on Chrome’s extension store.\r\n\r\n",
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    "subindustry": "B2B -> Operations",
    "launched_at": 1614621114,
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    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/11860018",
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        "title": "CTO- Cyber Security ",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/nd6SoAb-cto-cyber-security",
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        "title": "Bug Hunter - Dark Web & Threat Intelligence",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/BZMt0u5-bug-hunter-dark-web-threat-intelligence",
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        "location": "Chicago, IL, US / TX, US / IL, US / LA, US / KS, US / Remote (Chicago, IL, US; TX, US; IL, US; LA, US; KS, US)",
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        "title": "MalwareAnalyzer: Static scanning, real detonation, an interactive live VM, and a threat graph you can pivot through",
        "tagline": "We just crossed 500K samples analyzed - free for anyone here.",
        "body": "Hey all - Cyble (YC W21) here. We've been heads-down on MalwareAnalyzer (<https://malwareanalyzer.com>): a public malware analysis and threat intelligence platform. Submit a file, a URL, or a hash and get a verdict backed by real evidence. Public analysis is free and unlimited, and no account is required.\n\nWe just crossed 500,000 samples analyzed, which felt like a reasonable excuse to finally post here.\n\n**What's actually in it**\n\n**Multi-engine static scanning.** Free and open engines (ClamAV, YARA, hash feeds, static tooling) run locally; third-party AV engines run on an isolated in-VPC Windows scanner. The report shows only the engines that actually ran — no padded vendor list.\n\n**Real sandbox detonation.** We execute the sample, not just scan it. Full behavior capture across process, file, registry and network activity.\n\n**Interactive live-VM analysis.** Take the wheel mid-detonation: click through installers, dismiss dialogs, trigger the behavior that only fires on user interaction. Choose your guest OS, network mode and engine — and diff two builds side by side.\n\n**URL and phishing analysis.** Paste a link and get the redirect chain, hosting and verdict without touching it yourself.\n\n**Queryable threat-intelligence graph.** Pivot from a sample out to infrastructure, families and related samples. Search the whole corpus by content, indicator, MITRE technique or family — then save it as a standing hunt and get notified when something new matches.\n\n**ATT&amp;CK mapping with receipts.** Every technique is attributed to its source (static capa rule vs. observed at runtime) with confidence weights, plus rule-set hashes so a report is reproducible.\n\n**Reports that admit what they don't know.** If an analysis tier fails to complete, the report is marked degraded and queued for re-analysis rather than presented as clean coverage. A report with no findings _and_ no degradation notice is a real negative result.\n\n**An API with no key required.**\n\n\\`\\`\\`\n\ncurl -X POST <https://malwareanalyzer.com/v1/submit> \\\\\n\n  -H 'content-type: application/json' \\\\\n\n  -d \"{\\\\\"fileName\\\\\":\\\\\"sample.bin\\\\\",\\\\\"fileBase64\\\\\":\\\\\"$(base64 &lt; sample.bin | tr -d '\\\\n')\\\\\"}\"\n\n\\`\\`\\`\n\nReturns a task id and a report URL. Submissions are unlimited; lookups are capped at 1,000/day per IP.\n\n**Why this might matter even if you're not a security company**\n\nSomeone on your team is eventually going to get a strange attachment, an unsigned installer from a vendor, or a \"recruiter\" link that smells wrong. Drop it in and get an answer in about a minute - better than a Slack thread of guesses.\n\nFree covers submissions and full reports. Premium compute (private analysis, deep URL scans, the AI assistant) runs on credits, and every account starts with a free grant.\n\nHappy to go deep on any of this - the interactive sandbox was by far the hardest part to get right. Feedback, bug reports and \"your report was wrong about my file\" all very welcome.",
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        "title": "AmIBreached.com by Cyble: The ultimate data breach monitoring solution 🔒",
        "tagline": "Your AI-powered sentinel against data breaches.",
        "body": "👋 We're thrilled to announce the launch of AmIBreached.com, the most advanced and comprehensive data breach detection and monitoring platform on the market.\n\nAs data breaches continue to rise, we've been working tirelessly to develop a solution that empowers individuals and businesses to safeguard their sensitive information. With AmIBreached.com, you can now have peace of mind knowing that your data is secure.\n\n🔍 Key Features of AmIBreached.com:\n\n* Advanced breach detection algorithms that continuously scan the web for compromised data 🚨\n* Intuitive dashboard for easy monitoring and management of your data security 📊\n* Real-time alerts to keep you informed of any potential breaches 📩⚡\n* Seamless integration with popular tools and platforms for a streamlined workflow 🔧🤝\n* Customizable security settings to fit your unique needs 🎚️🔐\n\n👨‍💻👩‍💻 Whether you're an individual looking to protect your personal information or a business aiming to secure your organization's data, AmIBreached has got you covered.\n\n🌍 Join the thousands of satisfied users who trust AmIBreached to keep their data safe and secure. Our cutting-edge technology and dedicated support team are here to ensure your peace of mind in the digital world.\n\n[**Try it out today**](http://amibreached.com/)**. We'd love to hear your thoughts and feedback! Don't hesitate to reach out to our team with any questions or suggestions.**",
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        "body": "Hi 👋 [Addwiteey](https://www.linkedin.com/in/addwiteey-chrungoo-06693320/) and [Sandesh](https://www.linkedin.com/in/sandeshgwd/) here to introduce [Javelin Robotics](https://www.javelinrobotics.com/).\n\nWe help truckers **cut delivery times in half**, doubling productivity and adding much needed capacity to the freight industry. We do this by building autonomy software that tag-teams _with_ human drivers. \\\n\\\nConventional trucks drive \\~120K miles/year. Trucks with our tech can hit more than 190K miles/year. Since truckers make money by the mile, this has a direct impact on earnings. Watch [video](https://www.youtube.com/watch?v=hL_vNhlEzOM).\n\n### **Why should you care?**\n\nThere is this saying: If its in your home, a truck brought it. Nearly 72% of all freight in America is moved by hard working truckers. 3.5 Million of them. But unfortunately theirs is an ageing pool and not many young folks are joining the workforce. Those who do, frequently quit within a year - a leaky bucket. To add to that, trucks are expected to drive 57% more miles in the coming years to keep up with demand.\n\n### **But aren’t we expecting driverless trucks to solve this?**\n\nTo some extent yes, but fully driverless long haul solutions has its own constraints, new costs, new risks and require **major** operational changes to how freight is moved today (i.e. point to point, direct to destination). Driverless freight needs to be routed via hubs → 2x stops, 2x handoffs and offers limited operational flexibility / geographical reach. Most small and medium carriers need operational flexibility + geographical reach.\n\nSo if we look at driverless trucks as a tool, its clear they are necessary, but we need complementary solutions that seamlessly work for most.\n\n### **The solution**\n\nEngineer autonomy such that it makes our existing drivers most productive and happy. So, we are building autonomy software that’s designed from the ground up to tag-team _with_ human drivers.\n\nWe offer our solution as an end-to-end service: autonomous ready freight search, automated driving in service zones, effortless payments.\n\n![](https://lh4.googleusercontent.com/ohwis2MAaEYhyFZ_A7gxRCUgO6acSak3BzAD5rBNX5T5BDSrnaXTC9vZ9wx9U1AoU0H-rdrt5mfSS5_nxMY0m6f2JWq9UBQApkSzt_TmPPI_1nkfuc6TnjW0JwEa68r6pRSR98LHKrDAu1HHVTRRHrKlhLsj2wArEAh0aZkZfol97pO2knImqZliUBBlPw)\n\nFor truck drivers, having access to our software is like having access to a **second driver that drives on-demand.** This helps increase:\n\n* ⏳ **Productivity**\n* 🚛 **Trucking capacity**\n* 💰 **Driver and fleet revenue**\n\n### **How we are different?**\n\nWe’re _not_ building human-less trucks for a few large carriers.\n\nWe’re building the **most practical and driver friendly** autonomous system to serve 90% of the trucking industry\n\n* Using existing team driving model truckers are familiar with\n* Delivering both operational flexibility and geographical reach\n* _No need for_ new infrastructure, process changes or multiple hand-offs\n* In sync with current US [federal policy](https://www.whitehouse.gov/briefing-room/statements-releases/2022/04/04/fact-sheet-the-biden-administrations-unprecedented-actions-to-expand-and-improve-trucking-jobs/) related to trucker jobs\n* Similar monetary _savings_ for carriers, as driverless.\n\nOur tech stack’s architecture leverages advances in modern AI, making our dev 10x more capital efficient.\n\n### **About the founders:**\n\n![](https://lh4.googleusercontent.com/X6gKAXbkWpIjj_XRuOC_kTd3henCDJAnZNraOJGg1v6OfearPdJ1rUGqM9gtReiDo9PzeAnXXMvS6bRr-6ArDK_N4PoUazl5BK2N1pPmuPwiBPHSzKwQT9Grx8wyb2CszzCyR-OrlqQNduBd8WtyaToOy2qBNLjMljgMxw3-Mblqivn7RclfFEcCgOj0QA)\n\n[Addwiteey](https://www.linkedin.com/in/addwiteey-chrungoo-06693320/) met [Sandesh](https://www.linkedin.com/in/sandeshgwd/) at Caterpillar where they helped bring the world’s largest autonomous trucks into production. Together, they’ve built autonomous trucks for mines and public highways, from scratch.\n\nFor them, It's always been about _robots + people_.\n\n### **How you can help:**\n\nWe would love to chat:\n\n* If you or anyone in your network might be interested in learning more or helping out.\n* If you are a trucker or run a truck co.\n* If you are a shipper looking to ship faster.\n\n**Share this post!**\n\nPlease help spread the word. _(many truckers don’t realize autonomy can actually help)._ We can be reached at [founders@javelinrobotics.com](mailto:founders@javelinrobotics.com)",
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        "body": "A year and a half ago, we launched [Firstbase Agent](https://www.firstbase.io/agent) —  our all-in-one state compliance solution for startups. You appoint Firstbase as your registered agent in every state where you operate or have employees, and we receive and view notices from the government, give you reminders about compliance events, and monitor your compliance status in each state, file annual reports, BOI reports, and franchise taxes. We will also help you register and maintain your payroll accounts in any state where you want to hire any employee — this way, you can avoid paying extremely high EOR fees (often around \\~$700/employee/month) and instead hire an employee through your own entity. And, of course, we help you fulfill the legal obligation of having a registered agent in every state where you operate. \\\n\\\nOne huge difference between us and other state compliance providers is that we actually own and operate our own entities in all 50 states as a licensed commercial registered agent. So we have direct contact with the state and don’t have to rely on any third parties for anything.\n\nWhy it’s important: to give an example, if you hire an employee in a new state and need payroll accounts, your payroll tax registration partner will typically work with a network of registered agents in different states and won’t really have control over anything. They’ll often need that third party to sign off on forms, which slows things down and often leads to operational nightmares.\n\nNow, almost 15,000 companies are using Firstbase Agent, and we have decided to do something nice and give part of the functionality **_free of charge_**.\n\n![uploaded image](/media/?type=post&id=79631&key=user_uploads/604873/0ace0f6e-0c19-40fb-8a7c-5df9da57e478)\n\n\\\nMeet [**_Firstbase Agent Intro_**](https://firstbase.io/agent-intro?utm_source=bookface&utm_medium=organic-social&utm_campaign=bookface_V1) — the simplest way to manage state compliance. We’d love to get your feedback. And again, it’s free.\n\nAgent Intro is designed for founders who currently manage their business compliance outside of the Firstbase platform, and use a different commercial registered agent. Agent Intro includes three awesome features:\n\n1. 📁 **Initial beneficial ownership information (BOI) filing**: The U.S. Financial Crimes Enforcement Network requires all companies to file this on an ongoing basis, and we’ll take care of it for you!\n2. 2\\. 🚥 **Firstbase command center**: Get an instant overview of your compliance status in every state where your business operates.\n3. 3\\. ✅ **State compliance reminders**: We’ll track your deadlines and let you know about any required actions.\n\n![uploaded image](/media/?type=post&id=79631&key=user_uploads/604873/860e4f94-e0f4-46a7-9185-6d84d5748c93)\n\nNo more scrolling through different state websites to find due dates — we make it easy to track everything in one place.\n\nWe’ll be launching Agent Intro soon, and we would love to see you among its first users! Just visit the link below and join the waitlist to guarantee your spot.\n\nMuch love [❤️](https://emojipedia.org/red-heart)\n\n[https://firstbase.io/agent-intro?utm_source=launchyc&utm_medium=organic-social&utm_campaign=bookface_V1](https://firstbase.io/agent-intro?utm_source=bookface&utm_medium=organic-social&utm_campaign=bookface_V1)",
        "url": "https://www.ycombinator.com/launches/KiN-agent-intro-automate-ongoing-state-compliance-free-of-charge",
        "votes": 3,
        "created_at": "2024-03-23T01:29:09.820Z"
      },
      {
        "id": 68098,
        "title": "Firstbase Agent – Payroll Tax Registration & Ongoing Compliance for startups",
        "tagline": "Compliance-in-the-box for scaling companies: automate annual reports, franchise tax filings, payroll tax registrations, and get help with federal tax filings.",
        "body": "Hi YC! I’m so excited to announce the launch of our new product.\\\n\\\nFirstbase Agent handles your company's ongoing compliance in every state, so you can focus on scaling.\\\n\\\n_We are launching with three new plans:_\\\n\\\n**Agent Light ($99/year)** – appoint Firstbase as your registered agent in every state where you operate, receive and view notices from the government, and get reminders about compliance events, such as annual reports, franchise tax filings, and more. It’s a better, more automated registered agent product for growing startups. \\\n\\\nNeed more that just reminders? Meet Agent Autopilot and Agent Payroll!\\\n\\\n**Agent Autopilot ($299/year)** – get everything from Agent Light + put all ongoing filings on autopilot. Firstbase will generate and file your annual reports, franchise tax reports, and more.\n\n![](https://lh3.googleusercontent.com/VG5iPduzy864stPMJaqgDAFkNPbEAUNMXmLIvcw_oBeqEe-TEDLAm04J8EXHX_KtvPNYHYXKZAxg6XkKl483opBm8PNtjkwydVy2qkxU2tcJqN9VVZdvVRxuCiMfOoZMDi9VPzmmN0ZEhjmI94bzmek_E56inCPYm3tdEiJUwW4gJht5CQPhFPE2JJP2tA)\n\n\\\n_Special offer for foreign founders_: if you purchase Autopilot, and appoint us as your Agent in the state of incorporation, you will get access to a self-service tool for forms 5472 & pro-forma Form 1120 for FREE! So if you are a foreign-owned US entity with filing obligations in the US, you will be able to file it directly from your Firstbase dashboard!\\\n\\\n\\\n**Agent Payroll ($599/year)** – register for payroll in any of the 50 states to hire employees compliantly. Get payroll account numbers. Put ongoing compliance – and all filings – in each of those states on autopilot.  \\\n\\\nAgent Payroll also includes a feature called Track (launching in Q1 2023) – we will retrieve all notices, balances and more, directly from your online accounts with each of the states and display them in your Firstbase dashboard.\n\n![](https://lh6.googleusercontent.com/-mlHwHmVUjf-zPkgmJvAitqhht6by0e3P13BPWYzel5zS0g7pUy47fLJcfJ7ncexagzFJ5EKyxd4QCTCj4Bxw8re1eGZSj8kpqf4ziAUrEbJ-3RbqSdYyI41gjXdoqAUC-qe1anJ0IMB2sY3OSsSqLiBdH5gtdyr7CQX4CqQaIZT-2goD_GHy5hY9FXXVg)\n\n\\\n\\\nSign up as an existing business here: <https://www.firstbase.io/agent> or use Firstbase Start to launch a new company:)\\\n\\\nAlso email me with any questions: [mark@firstbase.io](mailto:mark@firstbase.io)\\\n\\\n_PS Each plan will require you to appoint us as your registered agent so we can process filings on your behalf, take care of your compliance, and give you access to all features. If you already appointed someone as your registered agent in one of the states where you are purchasing Agent, we will take care of the change-of-agent paperwork during onboarding, free of charge._",
        "url": "https://www.ycombinator.com/launches/HiM-firstbase-agent-payroll-tax-registration-ongoing-compliance-for-startups",
        "votes": 13,
        "created_at": "2022-12-28T16:55:06.329Z"
      }
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    "name": "Per Diem",
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    "all_locations": "New York City, NY, USA; Remote",
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    "one_liner": "The AI operating system for restaurants",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Tomer Molovinsky",
        "title": "Founder",
        "founder_bio": "After building products at OpenTable and Resy, I co-founded Per Diem (YC W21) to bring Starbucks-level mobile apps to independent restaurants. We launch branded apps in hours and use AI to automate loyalty, marketing, and growth. Per Diem is now the top-rated loyalty app on Square, trusted by Oakberry, Chip City, and 500+ brands.",
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        "full_name": "Doron Segal",
        "title": "Founder",
        "founder_bio": "Hey, I’m Doron, co-founder and CTO of Per Diem.\nPer Diem is the AI OS for brick-and-mortar businesses, giving local operators CTO and CMO as a service through ordering, loyalty, marketing, etc...\nI love building products that move from idea to real usage, especially when they help small businesses operate better.\nBefore Per Diem, I worked at Saildrone, OpenTable, Apple, Beats Music, Ubiquiti.\nI’m also a dad and traveler. Always happy to meet new people and help other YC founders where I can.",
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        "linkedin_url": "https://www.linkedin.com/in/doronsegal/",
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        "title": "Per Diem is expending and looking for a React Native experience developer ",
        "url": "https://www.ycombinator.com/companies/per-diem/jobs/yTpvIRZ-per-diem-is-expending-and-looking-for-a-react-native-experience-developer",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$60K",
        "equity_range": "0.01% - 0.25%",
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        "title": "Per Diem is expanding and looking for a Next.js experience developer",
        "url": "https://www.ycombinator.com/companies/per-diem/jobs/Ep5mOGJ-per-diem-is-expanding-and-looking-for-a-next-js-experience-developer",
        "location": "Remote (US)",
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        "salary_range": "$60K",
        "equity_range": "1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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          "PostgreSQL",
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    "news": [
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        "title": "49 Most Promising Fintech Startups of 2024, According to Top Investors - Business Insider",
        "url": "https://www.businessinsider.com/49-most-promising-fintech-startups-according-top-vc-investors-2024#per-diem-39",
        "date": "Oct 03, 2024"
      },
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        "title": "App Integrations for Your Business | Square App Marketplace",
        "url": "https://squareup.com/us/en/app-marketplace/learning-hub/per-diem",
        "date": "May 16, 2024"
      },
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        "title": "Arm the rebels [with an app] - by Kristen Hawley - Expedite",
        "url": "https://www.expedite.news/p/arm-the-rebels-with-an-app",
        "date": "May 11, 2023"
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        "url": "https://techcrunch.com/2021/04/21/per-diem-raises-2-26m-to-help-local-businesses-build-subscription-programs/",
        "date": "Apr 21, 2021"
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    "name": "June",
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "June is a plug & play product analytics for B2B SaaS. \r\n\r\nIt automatically generates graphs of the metrics you should track, lets you view your company-level metrics, and zoom into them! ",
    "one_liner": "June is the new way to do product analytics",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1614364832,
    "tags": [
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      "Data Visualization"
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    "batch": "Winter 2021",
    "status": "Inactive",
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      "United States of America",
      "America / Canada",
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      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/june",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/june.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/juneso",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 573571,
        "full_name": "Enzo Avigo",
        "title": "Founder",
        "founder_bio": "Product guy with a strong entrepreneurial mind-set.\nBuilding something new 📊 👉 https://bit.ly/3fIr7KE\n\nGet in touch: enzoavigo@gmail.com ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/enzoa/",
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      {
        "user_id": 384078,
        "full_name": "Ferruccio Balestreri",
        "title": "Founder",
        "founder_bio": "I used to be an engineer at Intercom , where I met Enzo, my cofounder\n\nBefore that I built the tech side of altacucina.co the biggest community of Italian food lovers\n\nIn my free time I like to write here: https://ferrucc.io\n\n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/ferrucc-io/",
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        "title": "Y Combinator Startup June Allows Teams To Effortlessly Collect And Use Analytics",
        "url": "https://www.forbes.com/sites/frederickdaso/2021/09/03/y-combinator-startup-june-allows-teams-to-effortlessly-collect-and-use-product-analytics/",
        "date": "Sep 06, 2021"
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    "id": 22826,
    "name": "FifthTry",
    "slug": "fifthtry",
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    "website": "https://www.FifthTry.com",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "FifthTry is a Notion-like documentation tool designed to end documentation rot. We integrate with GitHub and block code changes from getting deployed till documentation has been updated and approved. We call this Continuous Documentation.\r\n",
    "one_liner": "Continuous Documentation To End Documentation Rot",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1616247173,
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      "South Asia",
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    "country": "IN",
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    "name": "Promoted.ai",
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    "website": "http://www.promoted.ai",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Promoted.ai unifies search, native ads, and feed ranking for online marketplaces and scaled e-commerce apps to dramatically improve relevance (and revenue) using AI. We are a team of ex-Google, Meta, and Pinterest ads engineers. Our customers are publicly traded and late-stage marketplace companies like Eventbrite, Upwork, and Outschool. Our mission is to connect every buyer and seller.",
    "one_liner": "Dramatically better search and ads for marketplaces",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1611343241,
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      "E-commerce"
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    "isHiring": false,
    "nonprofit": false,
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    "status": "Acquired",
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    "regions": [
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      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/promoted",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/promoted.json",
    "year_founded": 2020,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/promoted-ai",
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    "github_url": "https://github.com/promotedai",
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        "user_id": 587079,
        "full_name": "Dan Hill",
        "title": "Founder/CTO",
        "founder_bio": "I've spent ~18 years building ad systems at Google, Pinterest, and Promoted.ai. I'm passionate about growing both teams and revenue.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dan-hill-1a891820/",
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    "news": [
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        "title": "Dropbox Acquires Promoted.ai!",
        "url": "https://blog.dropbox.com/topics/company/spring-2025-release-dropbox-dash-search-videos-images-create-content-fast",
        "date": "Apr 30, 2025"
      },
      {
        "title": "Promoted grabs more funding to help e-commerce marketplaces achieve profitability – TechCrunch",
        "url": "https://techcrunch.com/2022/07/01/promoted-grabs-more-funding-to-help-e-commerce-marketplaces-achieve-profitability/",
        "date": "Jul 01, 2022"
      },
      {
        "title": "Promoted.ai takes in fresh capital to grow your marketplace – TechCrunch",
        "url": "https://techcrunch.com/2021/11/12/promoted-ai-marketplace/",
        "date": "Nov 12, 2021"
      }
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    "launches": [
      {
        "id": 75190,
        "title": "Promoted.ai - Dramatically better search",
        "tagline": "Dramatically better search and ads for top marketplaces and e-commerce apps",
        "body": "[Promoted.ai](http://Promoted.ai) optimizes search and ads for marketplaces. We exclusively partner with top engineering companies with world-class search, discovery, and ads departments to get the last +5-10% of revenue at scale. We work with many of the biggest names in e-commerce.\n\n## Dramatically Better Search\n\n**Increase revenue by +9%** with unified search, discovery, and native ads. We always outperform all in-house systems and vendors in A/B testing, at scale, forever. Demos: \\[[ebay](https://youtu.be/PlFxYfPlZYY)\\] \\[[amazon](https://youtu.be/lWauI9s7jUY)\\] \\[[walmart](https://youtu.be/Ya0LtKW8ZCg)\\]\n\n## Dramatically Better Ads\n\nAdd **native ads and sponsored search**. Our ads integrate with our organic ranking for dramatically better performance. We optimize ad load, profitability, and sales.\n\n## Build In-House Better\n\nAll of our customers have **existing search, discovery, and ads teams**. We help you build in-house better. Start with cloud and migrate to licensing and self-hosting.\n\n<https://www.youtube.com/watch?v=lWauI9s7jUY>",
        "url": "https://www.ycombinator.com/launches/JYk-promoted-ai-dramatically-better-search",
        "votes": 34,
        "created_at": "2023-09-27T14:50:01.499Z"
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    "name": "Pry Financials",
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    "website": "https://www.pry.co",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Now working on prune.com\r\n\r\nPry makes it simple for companies to manage their budget, hiring plan, financial models, and cash runway.\r\n\r\nToday, most people plan for their business once a quarter. It's done in Excel - buggy, boring, confusing, and really time-expensive. A lot of people have tried to solve this and only found moderate success or failed.\r\n\r\nWe're the team to do it right.",
    "one_liner": "Finance for Founders (now at prune.com)",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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    "tags": [
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    "batch": "Winter 2021",
    "status": "Acquired",
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    "regions": [
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      "America / Canada",
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      "Fully Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/pry-financials",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/pry-financials.json",
    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pry-financials",
    "x_url": "https://twitter.com/PryHQ",
    "fb_url": "https://www.facebook.com/pryfinancials",
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        "full_name": "Andy Su",
        "title": "Founder",
        "founder_bio": "I founded Pry (W21) with Alex, Hayden and Tiffany to solve small business financial planning.\n\nI founded inDinero (S10) with Jessica Mah to automate small business accounting.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/andydsu",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff521ed66b8dc5d4a535cc3f66e381d9c1560585.jpg"
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        "full_name": "Tiffany Wong",
        "title": "Founder",
        "founder_bio": "Co-founder & COO @ prune.com",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tiffany-wong-5726232b",
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        "full_name": "Hayden Jensen",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hayden-jensen-2088a6209",
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        "user_id": 577044,
        "full_name": "Alex Sailer",
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        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alex-sailer-54349032/",
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        "title": "Here’s why Brex just paid $90M for 10-person software startup Pry Financials – TechCrunch",
        "url": "https://techcrunch.com/2022/04/19/brex-just-paid-90m-for-pry-financials-a-10-person-financial-planning-software-startup-and-heres-why/?tpcc=tcplustwitter",
        "date": "Apr 19, 2022"
      },
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        "title": "Pry Financials raises $4.2M to make startup accounting more approachable – TechCrunch",
        "url": "https://techcrunch.com/2021/08/23/pry-financials-raises-4-2m-to-make-startup-accounting-more-approachable/",
        "date": "Aug 23, 2021"
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    "id": 22831,
    "name": "Emerge Tools",
    "slug": "emerge-tools",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d082e2fe9c186f3598bbc35bc7f05b0752b53458.png",
    "website": "https://www.emergetools.com/",
    "all_locations": "Los Angeles, CA, USA; Santa Monica, CA, USA; Remote",
    "long_description": "Emerge is a suite of developer tools designed to supercharge mobile apps and the teams that build them.\r\n\r\nOur tooling is already used by many of the best mobile teams in the world like DoorDash, Square, Airbnb, Duolingo, Stripe, among others. Come help us make it even better!",
    "one_liner": "Supercharge your mobile apps",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1614619318,
    "tags": [
      "Developer Tools",
      "B2B",
      "Enterprise",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Acquired",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/emerge-tools",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/emerge-tools.json",
    "year_founded": 2020,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/71033667",
    "x_url": "https://twitter.com/emergetools",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/emerge-5ed8",
    "github_url": "https://github.com/EmergeTools",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d082e2fe9c186f3598bbc35bc7f05b0752b53458.png",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 561655,
        "full_name": "Josh Cohenzadeh",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josh-cohenzadeh-4ab75138/",
        "x_url": "https://twitter.com/jshchnz/",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7050ecd51fef03a9886e51223a550367a0ed4ac.jpg"
      },
      {
        "user_id": 59449,
        "full_name": "Noah Martin",
        "title": "Founder",
        "founder_bio": null,
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/noahsmartin/",
        "x_url": "https://twitter.com/sond813",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7164ee76e449874e02670a29a6dbb42cf8c9a1d0.jpg"
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    "news": [
      {
        "title": "Emerge Tools Blog | Emerge Tools is joining Sentry",
        "url": "https://www.emergetools.com/blog/posts/emerge-tools-is-joining-sentry",
        "date": "May 06, 2025"
      },
      {
        "title": "The What, Why, and How of Mastering App Size - Spotify Engineering : Spotify Engineering",
        "url": "https://engineering.atspotify.com/2023/11/the-what-why-and-how-of-mastering-app-size/",
        "date": "Nov 14, 2023"
      },
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        "title": "Create a ‘permissionless’ pilot program that drives sales and delights customers | TechCrunch",
        "url": "https://techcrunch.com/2023/09/05/create-a-permissionless-pilot-program-that-drives-sales-and-delights-customers/",
        "date": "Sep 05, 2023"
      },
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        "title": "How Duolingo reduced app size by 20% using Emerge",
        "url": "https://blog.duolingo.com/emerge-tool-app-size/",
        "date": "Jul 14, 2023"
      },
      {
        "title": "How FullStory used Emerge to lower our impact on app startup time by 75%",
        "url": "https://www.fullstory.com/blog/how-we-lowered-fullstory-for-androids-impact/",
        "date": "Jun 27, 2023"
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    "id": 22832,
    "name": "Parsagon",
    "slug": "parsagon",
    "former_names": [
      "Parsagon",
      "Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7aefca6f08e98bcb987bd108cb1bbe99254dd91.png",
    "website": "https://parsagon.io",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Parsagon is an AI that can collect and analyze publications from any government body in any jurisdiction. It currently parses and analyzes legislation, press releases, speeches, meeting minutes, executive orders, and much more in 64 countries and counting.\r\n\r\nFortune/Global 500 companies, policy firms, and other organizations are using Parsagon to uncover policy insights in hundreds of jurisdictions that they would otherwise miss. Customers use us to:\r\n\r\n- Analyze changes in US state education policy\r\n- Generate reports on UK financial regulations\r\n- Monitor vaccine policies across the EU\r\n- And much more!",
    "one_liner": "AI to track and analyze public policy",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1614621550,
    "tags": [
      "Monitoring",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/parsagon",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/parsagon.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/parsagon/",
    "x_url": "https://twitter.com/Parsagon_io",
    "fb_url": null,
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7aefca6f08e98bcb987bd108cb1bbe99254dd91.png",
    "app_video_url": null,
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    "founders": [
      {
        "user_id": 145104,
        "full_name": "Sandy Suh",
        "title": "Founder",
        "founder_bio": "Machine learning researcher specializing in program analysis and program synthesis. Using my experience to build an AI for public policy.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sandy-suh-2ba05bb0/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8afad87b2d165c28bfca4bb284282600e06150f2.jpg"
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    "jobs": [],
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    "launches": [
      {
        "id": 98455,
        "title": "Parsagon: Universal API for Regulatory Data",
        "tagline": "Programmatic access to legislation, regulations, and more across 70+ countries",
        "body": "**TL;DR If you're scraping legislation, regulations, or other government publications, we provide a simpler option: a daily-updated dataset across 70+ countries, available via API. Check it out here: [https://parsagon.io/solutions/api](https://parsagon.io/solutions/api)**\n\nHi YC! We've built a global database of legislation, regulations, and other government publications. It updates daily and currently covers 70+ countries.\n\nWe originally built this for a handful of enterprise policy monitoring workflows, but we keep meeting founders who need reliable regulatory data for very different products/verticals (e.g., automating compliance workflows). Rather than trying to build every vertical ourselves, we're opening the dataset via API so you can build on top of it.\n\n**What It Looks Like**\n\nThe API is pretty simple: give a data category, and get a list of documents back:\n\n![uploaded image](/media/?type=post&id=98455&key=user_uploads/145104/f67f65dd-772a-4bfd-b1ee-a982b71afea4)\n\nYou can search for documents with date ranges and search queries as well:\n\n![uploaded image](/media/?type=post&id=98455&key=user_uploads/145104/c4c17ef5-5dfc-4d52-a468-33c3763099b3)\n\nTo see more examples, check out our docs: <https://docs.parsagon.io/api-reference/introduction>\n\n**What's Different About Parsagon**\n\nWe've seen a few solutions attempt to provide global regulatory/policy data, but they often are far from comprehensive. They often only include data for specific verticals/workflows, lack data for “smaller” jurisdictions, or just don't work as advertised (one of our customers said one provider only had half their data available via API - the other half was sent to them as excel spreadsheets of new regulations manually put together by humans each week).\n\nParsagon is built on AI research that generates and maintains data pipelines for government sources, which lets us scale coverage faster and keep it current.\n\nIf you need a source/jurisdiction we don’t have yet, just request it! We can usually add new coverage quickly. As one example, when a Global 500 tech company asked for \\~20 additional countries, we added them within two weeks.\n\n**Who Uses Our Data**\n\nParsagon helps Global 500 teams track new legislation, regulations, and policy developments. Examples:\n\n* A streaming platform tracks media/broadcasting rules in \\~60 countries\n* Multiple pharma companies track healthcare policy across 20+ countries\n* A major airline tracks policy developments across the EU\n\nIf you’re building anything that needs regulatory context (or you want to expand your existing product into more jurisdictions), we’d love to chat! You can email us at [**founders@parsagon.io**](mailto:founders@parsagon.io) or sign up at [**https://parsagon.io/solutions/api**](https://parsagon.io/solutions/api)",
        "url": "https://www.ycombinator.com/launches/Pbz-parsagon-universal-api-for-regulatory-data",
        "votes": 17,
        "created_at": "2026-03-04T18:02:22.640Z"
      },
      {
        "id": 92447,
        "title": "Parsagon: AI to Track and Analyze Public Policy",
        "tagline": "Uncover policy insights you'd otherwise miss",
        "body": "Hi YC! I'm Sandy, and I'm trying to improve government transparency with Parsagon.\n\n**TL;DR**\n\nParsagon is an AI that can collect and analyze publications from any government body in any jurisdiction. It currently parses and analyzes legislation, press releases, speeches, meeting minutes, executive orders, and much more in 64 countries and counting.\n\n**Fortune/Global 500 companies, policy firms, non-profits, and other organizations are using Parsagon to uncover policy insights in hundreds of jurisdictions that they would otherwise miss.**\n\nAsk #1: If you want to try out Parsagon, email us at [founders@parsagon.io](mailto:founders@parsagon.io) or sign up for our beta at [parsagon.io](http://parsagon.io)\n\nAsk #2: We just launched on Product Hunt! We'd greatly appreciate if you could support [our launch](https://www.producthunt.com/products/parsagon)!\n\n## **😠The Problem:**\n\nGovernment data is much less accessible than it could be. Government affairs professionals spend countless hours sifting through legislation, press releases, speeches, etc. Tracking policy in one jurisdiction is hard enough, and any given organization may have to monitor dozens if not hundreds of different jurisdictions.\n\nCurrent platforms to track public policy are outdated. They track a limited set of sources, and they make you sift through those sources using clunky, keyword-based searches like the one below.\n\n![uploaded image](/media/?type=post&id=92447&key=user_uploads/145104/d2c61d43-51e6-465a-84df-124d0132a808)\n\n## **😃The Solution:**\n\nParsagon is an AI that can collect and analyze publications from any government body in any jurisdiction. You query Parsagon’s data in natural language, and Parsagon analyzes the policy developments relevant to you to create custom monitoring alerts, policy memos, and reports.\n\nhttps://www.youtube.com/watch?v=MnTf_Vz79AE\n\n# **🙏 Our Ask**\n\n* If you want to try out Parsagon, email us at [founders@parsagon.io](mailto:founders@parsagon.io) or sign up for our beta at [parsagon.io](http://parsagon.io)\n* We just launched on Product Hunt! We'd greatly appreciate if you could support [our launch](https://www.producthunt.com/products/parsagon)!",
        "url": "https://www.ycombinator.com/launches/O35-parsagon-ai-to-track-and-analyze-public-policy",
        "votes": 29,
        "created_at": "2025-07-25T15:08:03.272Z"
      },
      {
        "id": 80386,
        "title": "Parsagon: Track business and policy developments",
        "tagline": "Use AI to monitor custom events",
        "body": "**Hi YC! We’re excited to announce that **[**Parsagon**](https://parsagon.io/)** can now monitor business and policy developments for you!**\n\n## **😠The Problem:**\n\nCurrent news monitoring tools are too noisy and too limited. They rely on simple keyword searches that fail to encompass complex topics, and they only monitor very standard news and social media sources. They lack the customization necessary to track many of the developments we care about in our industries and areas of expertise.\n\n## **😃The Solution:**\n\nParsagon’s AI monitors and analyzes events from sources across the web. You can specify custom sources to monitor, such as company websites, organizations’ meeting minutes, or government legislation. And you can filter for the events you care about using custom prompts.\n\n![uploaded image](/media/?type=post&id=80386&key=user_uploads/89898/1a881b41-a2c0-4c64-91b8-b673305ff667)\n\nFor example, you can use Parsagon to:\n\n* Collect data on mergers and acquisitions in the news\n* Get email alerts about announcements from state/local governments\n* Monitor bills related to a certain topic\n* And much more!\n\nJust tell Parsagon what types of events you want to monitor, and our AI will find what's relevant to you.\n\n## **How you can help:**\n\nIf you want to try out Parsagon, email us at [founders@parsagon.io](mailto:founders@parsagon.io) or sign up for our beta at [parsagon.io](https://parsagon.io/)",
        "url": "https://www.ycombinator.com/launches/KuY-parsagon-track-business-and-policy-developments",
        "votes": 36,
        "created_at": "2024-04-24T15:15:00.971Z"
      },
      {
        "id": 79399,
        "title": "Parsagon - Real-time fundraising data for cheaper",
        "tagline": "A faster, cheaper way to get Crunchbase/Pitchbook data",
        "body": "**Hi YC! We’re excited to announce that **[**Parsagon**](https://parsagon.io/)** is offering real-time fundraising data similar to Crunchbase or Pitchbook, but for cheaper!**\n\n## **😠The Problem:**\n\nCollecting data on private companies is difficult and expensive, and as a result, if you want an API for fundraising data from Crunchbase or Pitchbook, you typically need to pay thousands of dollars per month.\n\n## **😃The Solution:**\n\nParsagon’s AI is now capable of auto-generating the scrapers and parsers needed to collect fundraising data, which allows us to offer the same data for much cheaper! To start, **we’re offering a real-time data feed starting at $50 per month!** You can use our API to monitor fundraising deals related to a given company, investor, industry, etc., and receive real-time data that looks something like this:\n\n```\n[\n  {\n    \"id\": 156,\n    \"date\": \"2024-02-27\",\n    \"round\": \"Series B\",\n    \"amount_raised\": 43000000,\n    \"valuation\": 500000000,\n    \"valuation_type\": \"Post-money\",\n    \"currency\": \"USD\",\n    \"org\": {\n      \"id\": 687,\n      \"name\": \"Photoroom\",\n      \"website\": \"https://www.photoroom.com\"\n    },\n    \"investors\": [\n      {\n        \"org\": {\n          \"id\": 443,\n          \"name\": \"Balderton\",\n          \"website\": \"https://www.balderton.com\"\n        },\n        \"is_lead\": true\n      },\n      {\n        \"org\": {\n          \"id\": 688,\n          \"name\": \"Aglae\",\n          \"website\": \"https://aglaeventures.com\"\n        },\n        \"is_lead\": true\n      },\n      {\n        \"org\": {\n          \"id\": 689,\n          \"name\": \"YCombinator\",\n          \"website\": \"https://www.ycombinator.com\"\n        },\n        \"is_lead\": false\n      }\n    ],\n    ...\n  },\n  ...\n]\n```\n\nWe’re also collecting historical fundraising data as well! Extensive coverage on that front will take some time, but **we’re currently collecting historical data on demand**. For example, one financial firm gave us a list of 1,000 companies on which they wanted historical data, and we were able to add that data to our API within a few days for a fraction of what it would cost from Pitchbook.\n\n## **How you can help:**\n\n* If you want to try out the API, email us at [founders@parsagon.io](mailto:founders@parsagon.io)\n* Do you know a VC or other financial firm that would be interested? Feel free to reach out to us at [founders@parsagon.io](mailto:founders@parsagon.io)\n* Not what the data you were trying to track? Reach out anyway! Our AI generated everything needed to get the data above in about two weeks, and it might be able to handle your use case just as easily!",
        "url": "https://www.ycombinator.com/launches/Ked-parsagon-real-time-fundraising-data-for-cheaper",
        "votes": 21,
        "created_at": "2024-03-14T20:13:13.386Z"
      },
      {
        "id": 77241,
        "title": "Parsagon - Scrape sites with just their URLs",
        "tagline": "Give a list of URLs, get back a set of scrapers!",
        "body": "**Hi YC! We’re excited to announce that Parsagon now offers a new AI scraping service: you give a list of URLs, and you get back a set of scrapers!**\n\n**The Problem:**\n\nParsagon's AI allows you to generate web scrapers from natural language prompts. For example, you can get city population data from Wikipedia by telling our AI:\n\n> **_Go to _**[**_https://en.wikipedia.org/wiki/List_of_largest_cities_**](https://en.wikipedia.org/wiki/List_of_largest_cities)**_. Scrape data in the format \\[{\"city\": \"str\", \"link\": \"link\", \"population\": \"num\"}\\]_**\n\nThis works fine if you want to scrape a single site, but what if you want to scrape dozens, hundreds, or thousands of sites? What if each site works differently and needs a slightly different prompt? While it's faster than writing thousands of scrapers, writing thousands of prompts is still a lot of work.\n\n**The Solution:**\n\nNow you can give Parsagon a list of sites and the data you want from each site, and we'll pass that list to Upworkers trained to use Parsagon. The Upworkers write a prompt for each site, and you get scrapers for a fraction of the time/cost it would take to write code or hire developers! 🎉 For example, companies are using Parsagon to:\n\n* generate scrapers that monitor hundreds of state/local government websites for events and announcements related to economic policy\n* generate scrapers for thousands of company websites to get details on private companies’ financials and investors\n* scrape laws from government websites across the EU to create an AI legal assistant\n\n**The Ask:**\n\nIf you want to try out the service, email us at [**founders@parsagon.io**](mailto:founders@parsagon.io)!",
        "url": "https://www.ycombinator.com/launches/K5p-parsagon-scrape-sites-with-just-their-urls",
        "votes": 13,
        "created_at": "2024-01-08T21:15:26.083Z"
      },
      {
        "id": 72447,
        "title": "Parsagon - GPT for browser automations ⚡️",
        "tagline": "Create browser automations with natural language",
        "body": "**Hi YC! We’re excited to announce that you can now use Parsagon to create browser automations with natural language!**\n\n**The Problem:**\n\nIf you want to do something like the following:\n\n* Go to a website, enter a query into a search bar, and get all the search results as JSON\n* Check a website for changes/updates every day\n* Test a form on your website with many different inputs, and run the tests on command\n\nYou usually have to write code. And then you might have to write code to monitor whether the website’s format has changed. And if the website changes, you need to write even more code. This is tedious and time-consuming for developers, and as an AI researcher, I wanted to use my research to build a better way to create automations…\n\n**The Solution:**\n\nWe’ve trained GPT to use Parsagon’s AI, which is built specifically to write Python code for web page interactions and web scraping. Now you can type something like:\n\n> _‘Go to _[_https://assessment.cot.tn.gov/TPAD/_](https://assessment.cot.tn.gov/TPAD/)_. Select \"Carter\" from the County dropdown. Type \"WEST DOE AVE\" into the Search Term box and hit enter. Scrape data in the format \\[{\"owner\": \"str\", \"address\": \"str\"}\\], clicking the Next button up to 3 times.’_\n\nand Parsagon will create a Python program to do what you described using Selenium. 🎉\n\n![uploaded image](/media/?type=post&id=72447&key=user_uploads/145104/52d57427-2220-4040-bc2e-5ac6c22a5a46)\n\nAs shown above, you can make complex browser automations in just 3 steps:\n\n* Type what you want the automation to do.\n* Parsagon will explore the website(s) you mentioned to create a Python program. Parsagon will show you an abridged version of what the program does, and if it looks correct, you can save the program to be run whenever you want. The program doesn’t use GPT, making it cheaper, faster, and more consistent.\n* You can use Parsagon to schedule your automations, alert you when a website’s format has changed and/or automatically try to adapt to format changes, and change the parameters of your automations (e.g., Parsagon will generate a program that allows you to change “Carter” and “WEST DOE AVE” to other values on each run in the example above).\n\n**Asks:**\n\n* If you want to try out the product, email us at [founders@parsagon.io](mailto:founders@parsagon.io) and we will move you up the waitlist to use the product.\n* If you know anyone who might be interested in using our tool, we’d appreciate an intro! Feel free to reach out to us at [founders@parsagon.io](mailto:founders@parsagon.io)",
        "url": "https://www.ycombinator.com/launches/IqV-parsagon-gpt-for-browser-automations",
        "votes": 19,
        "created_at": "2023-06-22T06:54:43.783Z"
      },
      {
        "id": 70282,
        "title": "Parsagon: Universal API for product data",
        "tagline": "Collect product data from any website with one API call",
        "body": "### **✨ TL;DR**\n\nHi YC! We’re excited to announce that [Parsagon](https://parsagon.io/) is offering an API with which you can **collect product data from any e-commerce site with 1 API call**.\n\n### **🤯 The Problem**\n\nIf you’re trying to get data on products from e-commerce sites like Amazon, Etsy, etc., you essentially have 2 options:\n\n1. 1\\. Develop or purchase web scrapers for every site, which are time-consuming and expensive to build and maintain.\n2. 2\\. Use a product data API, where you provide a URL to a product page, and the API tries to extract product data from the page via ML models. This is cheaper, but these APIs often return inaccurate data for 20+% of product pages. We’ve seen these APIs say the price of a $350 TV was $16 because the warranty was $16, we’ve seen them say a price was $3400 when it was really $34.00, we’ve seen them say products were in stock when they were out of stock—the list goes on and on.\n\nAs developers, we at Parsagon have spent countless hours building and maintaining such web scrapers and wishing that we could use a product data API without sacrificing the accuracy and reliability of custom scrapers.\n\n### **💡 The Solution**\n\n**Parsagon provides a product data API with near 100% reliability.** We avoid the inaccuracies of previous product data APIs by using a novel AI to generate custom scrapers for every e-commerce website, ensuring that we consistently return accurate data for each site. Just give our API a URL for a product or list of products, and Parsagon will build a scraper for the site (if it hasn’t already) and return data for your product(s) with a standardized format.\n\nFor example, giving the API the URL for this page\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=70282&key=user_uploads/145104/ac033de5-2e1e-4e30-b6bf-0b8dbb1faf28)\n\nyields:\n\n```\n{\n```\n\n```\n\"name\": \"Amazon eero 6 mesh Wi-Fi system | Supports speeds up to 500 mbps | Connect to Alexa | Coverage up to 4,500 sq. ft. | 3-pack, one router + two extenders, 2020 release\",\n\"price\": 179.99,\n\"regular_price\": 199.99,\n\"currency\": \"$\",\n\"sku\": \"B085WSCTS4\",\n\"out_of_stock\": false,\n. . .\n```\n\n```\n}\n```\n\nAnd giving the API the URL for this page\n\n![uploaded image](/media/?type=post&id=70282&key=user_uploads/145104/061755a7-0e01-4b75-8fa1-080259038282)\n\nyields\n\n> ```\n> [\n> \n> ```\n>\n> ```\n> {\n>     \"name\": \"WICKER KURA BED- Pretty Stickers- Peel and Stick- Gifts- Adhesive Kura Bed Designs- Room Decor- Wicker Designs- Customizable Kura Beds\", \n>     \"link\": \"https://www.etsy.com/listing/1141689620/wicker-kura-bed-pretty-stickers-peel-and?click_key=aa9bb9d8d3aaf77acefa1143c7d023c6631c1c59%3A1141689620&click_sum=5ea4b26e&ga_order=most_relevant&ga_search_type=all&ga_view_type=gallery&ga_search_query=beds&ref=search_grid-367299-1-1&pro=1&frs=1\",  \n>     \"price\": 58.99,  \n>     \"regular_price\": 78.66,  \n>     \"currency\": \"$\",  \n>     \"sku\": \"1141689620\",  \n>     \"out_of_stock\": false,   \n>     . . . \n> },\n> {\n>     \"name\": \"Upholstered SOFT WALL PANELS for King or Queen size beds.\",\n>     . . . \n> },\n> . . . \n> ]\n> \n> ```\n\n### **❓ Our Asks**\n\nIf you want an easier way to collect product data, email us at [founders@parsagon.io](mailto:founders@parsagon.io)",
        "url": "https://www.ycombinator.com/launches/IHa-parsagon-universal-api-for-product-data",
        "votes": 31,
        "created_at": "2023-03-14T19:55:07.287Z"
      },
      {
        "id": 68413,
        "title": "Parsagon - Geographic data for half the price",
        "tagline": "Our AI collects land parcel data faster and cheaper than current solutions",
        "body": "**tl;dr: Parsagon is now offering a data service on all U.S. land parcels for 50% cheaper**\n\nParsagon is an AI that can auto-generate web scrapers and data pipelines. We had some customers ask for geographic data, so we decided to have Parsagon collect data on all land parcels in the U.S., as provided by municipal/county governments. We have collected data for several hundred counties within a few days, and we should have data covering the entire U.S. within a few weeks. We clean and standardize the data, which includes properties’ boundaries, coordinates, tax info, address info, data on structures, and [much more](https://parsagon.io/docs/parcels/parcel-data-fields).\n\nHow are we different from other data providers? Since we’re able to get the data much more easily, **we’ll charge you 50% less than what similar data providers are charging.** e.g., if competitors are charging $200/month for API access, we’ll charge $100.\n\n**Our ask:**\n\nIf you want access to the service, please contact us at [founders@parsagon.io](mailto:founders@parsagon.io)!",
        "url": "https://www.ycombinator.com/launches/HnR-parsagon-geographic-data-for-half-the-price",
        "votes": 13,
        "created_at": "2023-01-13T07:17:58.626Z"
      },
      {
        "id": 66389,
        "title": "Parsagon: Real-time price indexes",
        "tagline": "Real-time price and inflation estimates via API",
        "body": "**tl;dr: Parsagon now offers real-time price indexes by scraping daily prices of retailers.** \n\nParsagon is an AI that can auto-generate web scrapers and data pipelines. With inflation affecting so many consumers and businesses, we had our AI generate dozens of scrapers to collect prices and track inflation for over 50,000 food products across 38 cities in North America. You can access daily inflation estimates per food category (e.g., bread, seafood) and per region (e.g., Northeast U.S., Western U.S.) via our API. For example, here’s the change in price for various foods in the U.S. over the past week:\n\n![uploaded image](/media/?type=post&id=66389&key=user_uploads/145104/6b268c1b-9eb6-4ca6-acd0-d7d19f356145)\n\nAnd earlier this month, when a jump in food inflation sent markets tumbling, our index reported that jump in inflation two weeks before the Bureau of Labor Statistics released the inflation numbers.\n\n**Our ask:**\n\nIf you want access to the API, please contact us at [founders@parsagon.io](mailto:founders@parsagon.io) for a free trial!\n\nWant prices for a different sector or industry? Let us know! We generated our scrapers for food in about a week, so we can likely get data for whatever industry you’re interested in. ",
        "url": "https://www.ycombinator.com/launches/HGn-parsagon-real-time-price-indexes",
        "votes": 17,
        "created_at": "2022-09-29T06:04:14.746Z"
      }
    ]
  },
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    "id": 22835,
    "name": "Vapi",
    "slug": "vapi",
    "former_names": [
      "InvestBetter",
      "Superpowered",
      "Vapi (formerly Superpowered)",
      "Vapi / Superpowered",
      "Superpowered",
      "Vapi / Superpowered",
      "Superpowered"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/051e60e4dbdfee28059cc96976242e1fdc7b157b.png",
    "website": "https://vapi.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Voice AI for developers.",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1614827434,
    "tags": [
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vapi",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/vapi.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/100651155",
    "x_url": "https://twitter.com/Vapi_AI",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/vapiai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/051e60e4dbdfee28059cc96976242e1fdc7b157b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 584584,
        "full_name": "Jordan Dearsley",
        "title": "Founder",
        "founder_bio": "Founder, CEO @ Vapi",
        "is_active": true,
        "linkedin_url": "http://linkedin.com/in/jordandearsley",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c79f0fe41c23994d51846b179c3733c870492444.jpg"
      },
      {
        "user_id": 174323,
        "full_name": "Nikhil Gupta",
        "title": "Founder",
        "founder_bio": "Founder, CTO @ Vapi",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikhilro/",
        "x_url": "https://twitter.com/1729_gupta",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8058c4315c87251b7bfdff6fcc1558992b8570b.jpg"
      }
    ],
    "jobs": [
      {
        "id": 70537,
        "title": "Member of Technical Staff, Backend",
        "url": "https://www.ycombinator.com/companies/vapi/jobs/PXEn9WY-member-of-technical-staff-backend",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 72051,
        "title": "Member of Technical Staff, Forward Deployed",
        "url": "https://www.ycombinator.com/companies/vapi/jobs/3GU4CIx-member-of-technical-staff-forward-deployed",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 74676,
        "title": "Member of Technical Staff, Infrastructure",
        "url": "https://www.ycombinator.com/companies/vapi/jobs/lZs6Ict-member-of-technical-staff-infrastructure",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Go",
          "Kubernetes",
          "PostgreSQL",
          "TypeScript",
          "Distributed Systems"
        ]
      },
      {
        "id": 76187,
        "title": "Member of Technical Staff, Full-Stack",
        "url": "https://www.ycombinator.com/companies/vapi/jobs/CA87OPN-member-of-technical-staff-full-stack",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 78008,
        "title": "Customer Support Engineer",
        "url": "https://www.ycombinator.com/companies/vapi/jobs/BYEw4BP-customer-support-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$15K - $20K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83648,
        "title": "Member of Technical Staff, Frontend",
        "url": "https://www.ycombinator.com/companies/vapi/jobs/bg2uDvF-member-of-technical-staff-frontend",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 83649,
        "title": "Member of Technical Staff, Infrastructure (Security)",
        "url": "https://www.ycombinator.com/companies/vapi/jobs/Hqu2JQA-member-of-technical-staff-infrastructure-security",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "The Voice AI Platform Powering a Billion Calls a Year",
        "url": "https://www.youtube.com/watch?v=2otGNwNOEUM",
        "date": "Sep 25, 2026"
      },
      {
        "title": "AI voice startup Vapi hits $500M valuation after winning Amazon Ring over 40 rivals | TechCrunch",
        "url": "https://techcrunch.com/2026/05/12/vapi-hits-500m-valuation-as-amazon-ring-chose-its-ai-platform-over-40-rivals/",
        "date": "May 12, 2026"
      },
      {
        "title": "Big Talk: How Vapi Plans To Solve Customer Service With Voice AI",
        "url": "https://www.forbes.com/sites/davidprosser/2024/12/12/big-talk-how-vapi-plans-to-solve-customer-service-with-voice-ai/",
        "date": "Dec 12, 2024"
      },
      {
        "title": "YC-backed productivity app Superpowered pivots to become a voice API platform for bots | TechCrunch",
        "url": "https://techcrunch.com/2023/11/10/yc-backed-productivity-app-superpowered-pivots-to-become-a-voice-api-platform-for-bots/",
        "date": "Nov 10, 2023"
      },
      {
        "title": "Superpowered lets you see your schedule and join meetings from the Mac menu bar • TechCrunch",
        "url": "https://techcrunch.com/2021/03/10/superpowered-lets-you-see-your-schedule-and-join-meetings-from-the-mac-menu-bar/",
        "date": "Mar 10, 2021"
      }
    ],
    "launches": [
      {
        "id": 72254,
        "title": "Superpowered - The AI copilot for your meetings",
        "tagline": "No bots. No recordings. Just really good notes.",
        "body": "Hey Launch YC,\\\n\\\nIn 2021, we launched Superpowered as the best way to join your meetings. After three years of building and learning, we found a bigger challenge with meetings: Being present in the conversation while taking notes. Today, we’re launching Superpowered AI Notes ⚡️\\\n\\\n**Problem**: \n\nIt’s hard to write notes while you’re talking. And, other solutions like Otter and Fireflies send bots to your calls.\\\n\\\n**Solution**:\n\nA bot-free AI Notes product.\n\n🔥 **It's good enough to replace your note-taking**. You can use AI Templates to adapt the notes to your format and style.\n\n🤖 **No bots in your meetings**. Superpowered takes the audio directly from your device, so you can take notes without sending intrusive recording bots into Zoom and Google Meet calls.\n\n🔒 **No audio, video, or transcripts stored**. Audio is transcribed live and deleted immediately. Similarly, transcripts are removed shortly after processing.\n\nSuperpowered comes with an absolutely free trial, supporting every video conferencing client on both Mac (Apple Silicon + Intel) and Windows.\n\nYou can check us out at [superpowered.me](http://superpowered.me)\n\n[![uploaded image](/media/?type=post&id=72254&key=user_uploads/174323/e9175dd2-6144-43f4-aecb-944196df4306)](http://superpowered.me)\n\nWe're grateful your support and can't wait for you to try Superpowered AI Notes 🫶\n\nLet us know what you think. We’re at [team@superpowered.me](mailto:team@superpowered.me) and I’m at [nikhil@superpowered.me](mailto:nikhil@superpowered.me).\\\n\\\nNikhil\n\nP.S. my cofounder Jordan recorded a great video of our 3 year journey. There is an abbreviated version on Product Hunt. But, here's the [full version](https://youtu.be/Zo16RzvtiKk) for y'all.\n\nP.P.S. We're also live on [Product Hunt](https://www.producthunt.com/posts/superpowered-3). Would appreciate your support there, too.",
        "url": "https://www.ycombinator.com/launches/InO-superpowered-the-ai-copilot-for-your-meetings",
        "votes": 24,
        "created_at": "2023-06-14T13:47:15.447Z"
      }
    ]
  },
  {
    "id": 22841,
    "name": "ControlHub",
    "slug": "controlhub",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/568af1dc427d20e5700ab4a31d90395b1ed9bdde.png",
    "website": "https://controlhub.com/",
    "all_locations": "Remote",
    "long_description": "ControlHub automates the Procurement and Accounts Payable process of mid-size companies with intuitive purchasing software and AP solutions.\r\n\r\nKey features: Purchase Requests generation, Purchasing Approvals, Purchase Orders (PO), Bill processing and payments, sync with ERPs such as Quickbooks and NetSuite.",
    "one_liner": "Purchasing Software | Procure-to-Pay SaaS ",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1674180805,
    "tags": [
      "Fintech",
      "SaaS",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/controlhub",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/controlhub.json",
    "year_founded": 2020,
    "city": null,
    "country": null,
    "linkedin_url": "https://linkedin.com/company/controlhub",
    "x_url": "https://twitter.com/controlhub_app",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/568af1dc427d20e5700ab4a31d90395b1ed9bdde.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 126253,
        "full_name": "Rodrigo Santibanez",
        "title": "Founder",
        "founder_bio": "Founder @ControlHub and @EATclub. Stanford GSB",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/santiba/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/873f350478cd5efe58049f89822dbdcb55b6efd1.jpg"
      },
      {
        "user_id": 34641,
        "full_name": "Leonardo de la Cerda",
        "title": "Founder",
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        "title": "🔎 Procoto - Manage RFPs, contracts, and vendors with ease",
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        "body": "Hi everyone, we’re Juliet, Austin, Michael, and Michael. We’re the team behind [Procoto](https://procoto.com/). We’re on a mission to make procurement software more accessible and affordable for everyone.\\\n\\\n**tl;dr:** Procoto makes running RFPs, tracking contracts, and managing vendors simple and affordable. We get procurement teams out of dense systems and spreadsheets without having to drop a hefty check on SAP or Coupa.\n\nAnd it’s self-service! No sales calls, redlines, or lengthy implementations. Snag our [YC launch offer](https://app.procoto.com/register?ref=yc) to get started!\n\n![uploaded image](/media/?type=post&id=71192&key=user_uploads/488165/ab363823-cd33-4b41-9d5e-05867dcf4d98)\n\n### **😤 The problem with procurement software**\n\nSmall and mid-market companies face the same sourcing, contract, vendor, and spend management challenges of larger organizations, but with fewer resources and without the funds for an enterprise procurement platform.\n\n* RFPs are conducted with spreadsheets and emails\n* Time is wasted searching for, selecting, and inviting vendors to bid\n* Contract terms, vendor information, and spend data are spread across systems\n* Person hours are dedicated to data management rather than securing better rates\n* Historical bidding and pricing disappear after the RFP\n* The alternative solution today is a six-figure annual agreement with one of the big boys\n\n### **😇 How we’re fixing it**\n\nProcoto eschews (bless you) the complexity and the feature bloat of enterprise procurement software. We keep it simple and user-friendly in a tool built for everyone. Procoto automates the collection of RFP, contract, and vendor information into a centralized system and highlights savings opportunities based on historical data.\n\n<https://youtu.be/1FCv2I6Ywho>\n\n### 😍 **Community fav features**\n\n![uploaded image](/media/?type=post&id=71192&key=user_uploads/488165/d8592dd5-c2e2-4c7c-a311-5d8074c6eb9c)\n\n![uploaded image](/media/?type=post&id=71192&key=user_uploads/488165/9351376a-c992-482d-97d0-b34f049aed42)\n\n![uploaded image](/media/?type=post&id=71192&key=user_uploads/488165/39700cd7-521e-4664-ae5c-a319dd365891)\n\n### **🤡 Why us?**\n\nWe built procurement organizations at a couple of startups and have used 30+ of our competitors’ software. We lived the pain we’re solving for years and finally left to build the solution we couldn’t find Something self-service, customizable, with UI/UX from this decade, and built for users without supply chain degrees.\n\n### **🙏🏻 Our ask**\n\n* Give Procoto a whirl if you run RFPs, sign contracts, or work with third-party vendors\n* We’d love to talk to and learn from anyone in the procurement world, especially those in multi-site businesses:\n  * Franchises\n  * Hospitality\n  * Restaurants\n  * Apartment groups\n  * PEs that manage any of the above\n\n### **👀 The YC Deal**\n\n* 30-day trial\n* Complimentary vendor and contract data cleanup\n* 40% off your first year if you go monthly ($59/mo)\n* 50% off your first year if you go annual ($479/yr)\n* [Redeem here](https://app.procoto.com/register?ref=yc)\n\nIf you’d like to learn more or have questions, shoot us an email at [michael@procoto.com](mailto:michael@procoto.com)!",
        "url": "https://www.ycombinator.com/launches/IWG-procoto-manage-rfps-contracts-and-vendors-with-ease",
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      {
        "id": 95162,
        "title": "Popl - Make Conferences & Events Your Best GTM Channel",
        "tagline": "Imagine one AI-powered lead capture platform that finally makes your events worth it.",
        "body": "# ⚡️ **TLDR**\n\n[Popl](https://hubs.ly/Q03RBCTQ0) is the universal lead capture platform for in-person events. Scan any event badge, business card, or QR code, instantly enrich the lead with accurate data, and sync it into your CRM with full attribution. Events have been stuck with outdated tools for too long. We’re bringing AI-powered enrichment and modern technology to a world ready for disruption.\n\n\\\nHey everyone! 👋\\\n\\\nI’m [Jason](https://www.linkedin.com/in/jasonalco/), co-founder & CEO at [Popl](https://hubs.ly/Q03RBCTQ0). We’re building the **universal lead capture and enrichment platform for in-person events** — helping companies instantly turn real-world conversations into measurable sales pipeline.\n\n# 🔥 **The Problem**\n\nCompanies (and startups, see data below!) spend **$20K–$1M+** per booth at conferences.\n\nThey send their best reps and team members. They fly the team out, book hotels, pay for meals, etc. They invest in beautiful booths and marketing.\n\nBut when it comes to capturing leads, most still rely on:\n\n* Clunky badge scanner apps that barely work\n* Writing info down in Apple notes or collecting LinkedIns\n* CSVs from event organizer delivered _weeks_ after the event\n* No CRM integrations meaning slow speed to lead/follow-ups\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/85854025-5908-4824-bf0e-80d2b029de7f)\n\nThe result?\n\n**Slow follow-ups (leading to your competitors winning more), lost leads, and lower ROI on events.**\n\nWhat if there was a platform that solved all of this, that GTM teams could set up once and then use across every single event…\n\n# 🚀 **Our Solution**\n\nPopl provides your company with a unified in-person GTM platform that:\n\n* Scans any event badge, business card, or LinkedIn QR with the same app every time.\n* Enriches each scan with accurate contact + company data (work email, phone numbers, LinkedIn, company revenue, tech stack, HQ location, etc.)\n* Allows you to add context like notes, qualifying questions, and tags to each lead.\n* Syncs it automatically to your CRM in seconds — HubSpot, Salesforce, Marketo, Zoho, Dynamics, Monday, Slack, etc all natively supported.\n* Manage everything through event campaigns which also show leaderboards, pipeline generated, and ROI.\n\n**All while your team members stay focused on their conversations, not the tools. Plus no more waiting for CSV uploads, manual data entry, or other post-event headaches.**\n\nhttps://www.youtube.com/watch?v=HVAza1f74MU\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/4c32029c-d3b5-4bc1-8740-f89166adf1e4)\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/2eec6c29-0795-4dbe-bca9-354b185f75b6)\n\n# **🤔 Is This For Us?**\n\nNow some might assume events are only for big, legacy companies and not for startups or mid-market companies. But here’s what we’re seeing:\n\n1️⃣ With AI flooding channels like cold email and cold calling, in-person GTM is surging. People still want to buy from people (and especially not from AI), and when digital outreach feels saturated and impersonal, meeting potential buyers face-to-face gives you a real edge.\n\n2️⃣ The GTM data on startup companies shared by [@Richard Lee](https://www.linkedin.com/in/zrlee/) showed a hidden insight that “Attending conferences” is the 3rd most popular growth strategy for YC startups. This shows events are not just a nice-to-have, they are a core growth lever.\n\n3️⃣ We’re already seeing modern, fast-growing companies adopt Popl — like Square, Hammerspace, MavenAGI, Turing, Vercel, and Wiz. Events aren’t just for legacy enterprises; they’re becoming a key channel for the next generation of breakout startups.\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/58dc8dbf-aec3-4f44-b902-15d055feeecd)\n\n# 🤝 **Next Steps**\n\nIf you want to get started with Popl, or are interested in learning more, book a demo with us here:[ ](https://popl.co/pages/request-a-demo)[**Book a Demo**](https://hubs.ly/Q03RBCTQ0)\n\nWe especially love providing value to the YC community, so let us know on your demo that you came from this Launch YC post and we’ll give you a significant discount!\n\n**THANK YOU! 🚀**",
        "url": "https://www.ycombinator.com/launches/Oks-popl-make-conferences-events-your-best-gtm-channel",
        "votes": 102,
        "created_at": "2025-11-13T18:39:43.622Z"
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    "name": "Fathom",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cef88933ea79fe84401faaf1ce8c0ecd65c642a3.png",
    "website": "https://www.fathom.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Fathom captures your meetings your way – bot or bot-free, on any call. Ask questions across your entire meeting history and get instant, cited answers. Connect your intelligence to Claude, ChatGPT, your CRM, and more. Desktop, mobile, and in-person.\r\n\r\nThe real value of meetings isn't just the notes. It's the knowledge inside them.\r\n\r\n#1 AI Notetaker on G2. Works with Zoom, Meet, and Teams.",
    "one_liner": "The most flexible AI meeting notetaker ever built.",
    "team_size": 95,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1641591096,
    "tags": [
      "SaaS",
      "B2B",
      "Productivity",
      "AI",
      "Note-taking"
    ],
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    "batch": "Winter 2021",
    "status": "Acquired",
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      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/fathom",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/fathom.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fathomdotai/",
    "x_url": "https://x.com/FathomDotai",
    "fb_url": null,
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    "founders": [
      {
        "user_id": 497830,
        "full_name": "Richard White",
        "title": "Founder",
        "founder_bio": "First employee and lead designer of Kiko (S05) with Justin Kan and Emmett Shear. Founder and former long-time CEO of UserVoice. I love to design low-friction SAAS products for B2B.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rrwhite/",
        "x_url": "",
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    "news": [
      {
        "title": "Fathom raises $4.7M for its AI notetaker – TechCrunch",
        "url": "https://techcrunch.com/2022/01/24/fathom-raises-3-7m-for-its-ai-notetaker/",
        "date": "Jan 24, 2022"
      },
      {
        "title": "Zoom announces first startups receiving funding from $100M investment fund – TechCrunch",
        "url": "https://techcrunch.com/2021/08/30/zoom-announces-first-startups-receiving-funding-from-100m-zoom-apps-investment-fund/",
        "date": "Aug 30, 2021"
      }
    ],
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  },
  {
    "id": 22880,
    "name": "True3D",
    "slug": "true3d",
    "former_names": [
      "True3D",
      "Hyperplane",
      "Hackpack",
      "LeetDesign",
      "QuickVid.ai",
      "TutorAI.me",
      "QuickVid.ai",
      "QuickVid",
      "True3D",
      "True3D Labs",
      "Outpaint.com"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a242a0c2ce6b1ca1518d1744187f98a3bf8eade9.png",
    "website": "https://www.true3d.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "We're a research lab building foundation models and products for what comes after flat video.",
    "one_liner": "Building the next generation of visual media",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1614739771,
    "tags": [
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      "Media",
      "Infrastructure",
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      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/true3d",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/true3d.json",
    "year_founded": 2020,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/outpaint/",
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      {
        "user_id": 579262,
        "full_name": "Daniel Habib",
        "title": "Founder",
        "founder_bio": "Ex-FB Engineer with expertise in live video, generative AI, virtual reality and scalable systems\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-habib-5b305767/",
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    ],
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    "news": [
      {
        "title": "QuickVid uses AI to generate short-form videos, complete with voiceovers | TechCrunch",
        "url": "https://techcrunch.com/2022/12/30/quickvid-uses-ai-to-generate-short-form-videos-complete-with-voiceovers/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAALptn1iOjHaR-DkOiiKW3VgHFJ-8yzAmJ1_pepYTTcFBxvZJKXVin2yxpZCf2HBw33Li8h5NOgrtFoBvEdqgIdE8kk-zXlWVKjVowvMpcsS9UyL_g5AYdLjlZZLCo9jjb4G5IghZ0RTWBJk3YaQMsIwXXObXlFNZA7bx2udYDk1b",
        "date": "Dec 30, 2022"
      },
      {
        "title": "ChatGPT Is on Fire, and a Cottage Industry of Bot Builders Is Exploding Alongside It — The Information",
        "url": "https://www.theinformation.com/articles/chatgpt-is-on-fire-and-a-cottage-industry-of-bot-builders-is-exploding-alongside-it",
        "date": "Dec 16, 2022"
      }
    ],
    "launches": [
      {
        "id": 103954,
        "title": "Outpaint.com, Ad Reframe - convert winning UGC ads to CTV",
        "tagline": "Send us your UGC ad and get back a TV & Desktop ready version within days. ",
        "body": "Today on [Outpaint](https://outpaint.com/ad-reframe) we are launching **Ad Reframe**, the easiest way for advertisers to convert their winning UGC (9:16) for connected TV (16:9). <https://outpaint.com/ad-reframe>\n\n![uploaded image](/media/?type=post&id=103954&key=user_uploads/579262/0d9469eb-a8fe-4035-82b5-8b8101014f76)\n\n**The problem**\n\nAdvertisers test endlessly to find a winning UGC video, then want to squeeze every bit of value from it, including running it on TV. But converting vertical to horizontal for the big screen today means black bars from pillarboxing or a smeared side blur.\n\n**The solution**\n\nInstead of adding black bars, we expand the content so it looks like it was shot natively for TV.\n\n![uploaded image](/media/?type=post&id=103954&key=user_uploads/579262/9c2c0fed-b0bb-4904-a4f4-55b28373782d)\n\nOutpainting wins on everything advertisers measure: engagement (skip rate falls to 17%, the lowest tested), quality (55% say it looks professionally produced vs. under 40% for the alternatives), and brand lift (consideration at 51%, favorability at 58%), because filling the screen with real content beats hiding the gap behind bars or blur. Report [link](https://outpaint.com/case-studies/ctv-format-test)\n\n![uploaded image](/media/?type=post&id=103954&key=user_uploads/579262/79d0f1d7-f541-4f01-9255-c811dde479f9)\n\n**How it works**\n\nThe conversion generates new content where the black bars used to be. We support any aspect ratio, resolutions up to 8K, any frame rate, and any color space.\n\n![uploaded image](/media/?type=post&id=103954&key=user_uploads/579262/b9f35bc8-49fc-4b12-ac11-e2cb85002956)\n\nHave an ad you want to convert? Grab 15 minutes on my calendar and we'll set you up. <https://cal.com/daniel-habib/15min>",
        "url": "https://www.ycombinator.com/launches/R2g-outpaint-com-ad-reframe-convert-winning-ugc-ads-to-ctv",
        "votes": 18,
        "created_at": "2026-06-25T14:53:02.827Z"
      },
      {
        "id": 102813,
        "title": "Outpaint.com - Expand any video to fit any screen",
        "tagline": "Cinema grade video outpainting models",
        "body": "I’m Daniel from [**Outpaint.com**](http://Outpaint.com) (W21) and we are putting an end to **black bars** around videos, from vertical ads to big theater screens.\n\n**Problem**\n\nPeople consume video on many different devices, but video can only be shot for a single screen at a time.\n\n**Solution**\n\nOur models expand any video to fit any screen by generating content to fill the extra space, while preserving every pixel of the original video.\n\n**Examples**\n\n9:16 →16:9 (Ads and Micro-dramas)\n\n![uploaded image](/media/?type=post&id=102813&key=user_uploads/579262/e014ce0f-23db-4ee6-a6ee-f2e4269bd9c5)\n\n16:9 → 1.43:1 (Premium big screens and IMAX full frame)\n\n![uploaded image](/media/?type=post&id=102813&key=user_uploads/579262/ab682ded-ee2d-4cb6-838b-b8f024ed41be)\n\n16:9 →180° Fisheye (Domes &amp; VR)\n\n![uploaded image](/media/?type=post&id=102813&key=user_uploads/579262/4e182eb6-7782-4047-bc53-6ed83af33ca1)\n\n**How [_outpaint.com_](http://outpaint.com) works**\n\nSimply send us a video link and your target aspect ratio, and we'll send back the expanded version. Our models handle any duration, resolution, frame rate, and color space.\n\nWe've expanded everything from vertical ads for horizontal CTV spots to full films for immersive screens like IMAX and dome venues. We even got a [**shoutout on Rogan**](https://youtu.be/D_ZGWj_38uA?si=hY74cps5IN5THreL&t=8415) for some of our VR conversions.\n\n**Have a video you want to expand?**\n\nSend me an email at [**hello@outpaint.com**](mailto:daniel@outpaint.com) with a link to your video, and I'll follow up within 24 hours with a quote.",
        "url": "https://www.ycombinator.com/launches/QkH-outpaint-com-expand-any-video-to-fit-any-screen",
        "votes": 7,
        "created_at": "2026-06-09T16:17:02.245Z"
      },
      {
        "id": 81306,
        "title": "🎥 QuickVid Autopilot - Post 1 viral clip per day to your socials",
        "tagline": "Autopilot curates, edits, and posts the best clips from your existing video content.",
        "body": "Hey everyone,\n\nI’m Dan, and I’m super excited to share that we are starting to roll out QuickVid [**Autopilot**](https://www.quickvid.ai/autopilot)!\n\n![uploaded image](/media/?type=post&id=81306&key=user_uploads/579262/891b19bb-7b43-492c-b234-ee213cd4a28b)\n\n### The Problem\n\nConsistently posting clips to your socials is just too time-consuming and expensive.\n\n🕗 Time Intensive: Curating and editing a 40-second clip from a 30-minute video can take up to 1-2 hours.\n\n💰 Expensive: A decent video editor can cost upwards of $200/clip\n\n🖥️ Difficult to get started: Editing requires specialized software like Adobe Premiere\n\n😰 You are too busy: Consistently posting to your socials is something that busy founders just don’t have time for!\n\n📊 Trends are always changing: What works on each social channel is always changing. We stay on top of trends, so you don’t have to.\n\n### The Solution\n\nConnect Autopilot to your long videos and desired posting locations, and you’re done! Autopilot will find the best clip from all your video sources and post it on your behalf every day.\n\n![uploaded image](/media/?type=post&id=81306&key=user_uploads/579262/a608e70e-d60d-4a25-98f6-97912f52d317)\n\n**Connect your video source**\n\nThese are the locations QuickVid will pull clips from. QuickVid checks for new content daily. (YouTube, Drive, Zoom, etc.)\n\n**Connect your video destinations**\n\nThis is where Autopilot will post your clips every day (YouTube, LinkedIn, Facebook, etc)\n\n**Choose your cadence**\n\nEither post once per day or let our AI decide the best time and cadence to post\n\n### About the Clips\n\nClips are:\n\n* Automatically cropped to a vertical 9:16 aspect ratio\n* Auto-Reframed to focus on the speaker\n* Baked with captions to help keep a viewer’s attention\n* Personalized with your branding\n\n![uploaded image](/media/?type=post&id=81306&key=user_uploads/579262/27645561-3a5a-4e38-af3a-0445c2ea712a)\n\n### Who is Autopilot for?\n\nIf you consistently create long **_talking_** videos (podcasts, interviews, zoom meetings, etc.) and are struggling to keep up with posting clips, sign up for Autopilot, and I will personally onboard you!\n\n[Sign Up Here](https://www.quickvid.ai/autopilot)",
        "url": "https://www.ycombinator.com/launches/L9O-quickvid-autopilot-post-1-viral-clip-per-day-to-your-socials",
        "votes": 9,
        "created_at": "2024-06-04T21:01:38.894Z"
      },
      {
        "id": 77477,
        "title": "QuickVid 🎥 Cut up long videos into viral clips",
        "tagline": "A generative AI video tool that repurposes long videos into shorts in one click. ",
        "body": "**Tl;dr:** QuickVid makes growing your Youtube channel effortless by creating ready-to-post shorts out of _talking_ videos (Video Podcasts, Interviews, etc.). For anyone looking for a hands-off solution, checkout our autopilot add-on!  \n\nHey everyone, I’m Daniel Habib.\n\nI just pivoted and am re-launching QuickVid (w21)\n\n![uploaded image](/media/?type=post&id=77477&key=user_uploads/579262/c54acda5-8765-4d5b-8272-36a515c77504)\n\n## **🧨The Problem**\n\nIf you’re looking to grow aggressively on LinkedIn, Youtube, or TikTok,  you should be posting **1-2 shorts per day**\n\nFor a busy founder, this can feel like an impossible task because:\n\n* Clipping shorts out of your videos takes too much time\n* Hiring a video editor is too expensive (sometimes over $300 per clip!)\n\n## **🎉The Solution**\n\nQuickVid is your automated video production studio. We take all of your source video content and repurpose it for different platforms at 1/1000th of the cost and time.\n\n![uploaded image](/media/?type=post&id=77477&key=user_uploads/579262/77ffd30d-f607-44e8-a4d5-6955d2233e1b)\n\nClips are:\n\n* Auto-reframed so the main subject is always in focus\n* Branded with subtitles and special effects\n* Spliced with B-Roll to keep engagement high – driving algorithm pickup\n* Supported in over 10 video languages\n* Editable, if you want to adjust a clip it’s easy to tweak\n* HD - 1080p supported\n* Graded with a Virality Score to help you find the best clips\n\n## **How it works**\n\nWe use our own proprietary models alongside multiple LLM and video processing chains to find and spice up the best clips.\n\nTo use, simply drop a link to your video and once processed, you’ll have dozens of clips ready for publishing.\n\n## **Full Autopilot (Beta)**\n\nFor those that are too busy to post their own shorts, we have an Autopilot add-on. Autopilot edits and posts one short a day on your behalf, it’s completely hands-off after initial setup. Every Friday you’ll get analytics on how your videos are performing.\n\n## **👋 Asks**\n\n* **Try out QuickVid!** (use promo code: _LAUNCHYC_ for a 20% discount for 2 years, only valid until next week)\n* **Share this post!** If you know any founders that regularly produce content I’d love to connect with them.\n* **Interested in Autopilot?** Shoot me an email with a link to your youtube channel: [daniel@quickvid.ai](mailto:daniel@quickvid.ai)",
        "url": "https://www.ycombinator.com/launches/K9d-quickvid-cut-up-long-videos-into-viral-clips",
        "votes": 34,
        "created_at": "2024-01-12T19:07:28.765Z"
      }
    ]
  },
  {
    "id": 22881,
    "name": "BrioHR",
    "slug": "briohr",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7d26e3a8b124e3c002dfda1b12da4ee6b000aa8.png",
    "website": "https://briohr.com/",
    "all_locations": "Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia",
    "long_description": "Our HR management platform helps companies instantly digitize all HR functions across the full employee journey, all in one place:\r\n- talent acquisition: digitize and collaborate over recruitments with our ATS (applicant tracking system), then onboard your new joiners fully digitally\r\n- HR admin: manage paid time off, employee database and documents, payroll (for Singapore and Malaysia, more to come!), expense claims, timesheets...\r\n- Performance management: track KPIs / OKRs, manage performance appraisal, gather 360° feedback...",
    "one_liner": "All-in-one HR management platform for SMEs",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1614917168,
    "tags": [
      "SaaS",
      "Human Resources",
      "B2B"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
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      "Human Resources"
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    "regions": [
      "Malaysia",
      "Southeast Asia",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/briohr",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/briohr.json",
    "year_founded": 2018,
    "city": "Kuala Lumpur",
    "country": "MY",
    "linkedin_url": "https://www.linkedin.com/company/briohr",
    "x_url": "",
    "fb_url": "https://www.facebook.com/briohr/",
    "cb_url": "https://www.crunchbase.com/organization/briohr",
    "github_url": "https://github.com/BrioHR",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7d26e3a8b124e3c002dfda1b12da4ee6b000aa8.png",
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    "founders": [
      {
        "user_id": 387107,
        "full_name": "Benjamin Croc",
        "title": "Founder",
        "founder_bio": "French having lived 10 years in Malaysia from where I cofounded BrioHR.\n\nStarted my career with PwC then moved to Malaysia in early 2011 to head a global finance division for a French MNC, before getting an MBA at Insead (16J). Came back to Malaysia after that to join McKinsey up until the birth of my daughter, then switched to Lazada (Alibaba Group) in early 2018 before becoming obsessive about the need for BrioHR in the region :)\n\nAvid player of badminton, squash, poker...\n\nDo reach out!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/benjamin-croc-93669426/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c18af8eb592b9a0e6fa9ba1bb18a8caa30b93e4.jpg"
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      {
        "user_id": 601826,
        "full_name": "Nabil Oudghiri",
        "title": "Founder",
        "founder_bio": "Grew up in Morocco, studied engineering and worked in France, went to Singapore for my MBA and now living in Malaysia where I cofounded BrioHR!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nabil-oudghiri-870372b5",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20d6b2214885af15f0f86b0cba42d4bd1070a08e.jpg"
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    ],
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  {
    "id": 22882,
    "name": "FirstSupport.ai",
    "slug": "firstsupport-ai",
    "former_names": [
      "Chatbiz.id",
      "Chatbiz",
      "Arbofinance",
      "Chatbiz"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/190c3ac06e53c62124919e1986a344ec51b69fea.png",
    "website": "https://firstsupport.ai",
    "all_locations": "Bandung, West Java, Indonesia; Remote",
    "long_description": "FirstSupport is an AI-powered assistant for customer support. We give AI superpowers to support agents so they can reply quicker, understand multiple languages, get information quickly from knowledge base, summarize ticket in one click, get weekly customer support report, and many more. Available on Zendesk.",
    "one_liner": "AI Assistant for Customer Support",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1616014979,
    "tags": [
      "SaaS",
      "B2B",
      "Customer Support",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "Indonesia",
      "Southeast Asia",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/firstsupport-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/firstsupport-ai.json",
    "year_founded": 2021,
    "city": "Bandung",
    "country": "ID",
    "linkedin_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/190c3ac06e53c62124919e1986a344ec51b69fea.png",
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    "founders": [
      {
        "user_id": 376547,
        "full_name": "Terry Djony",
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        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "Growth design",
          "Marketing design"
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    "launches": [
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        "id": 83737,
        "title": "AI Blaze - Your personal AI co-pilot",
        "tagline": "An AI co-pilot that is actually useful for everyone.",
        "body": "Install AI Blaze [here](https://chromewebstore.google.com/detail/ai-blaze-instantly-use-ai/cebmnlammjhancocbbnfcglifgdpfejc). It’s free!\n\nHere are a few things you can do with AI Blaze (very partial list:)\n\n1. Quickly write an excellent cover letter for a specific role.\n2. Turn your messy notes into a professional-looking and actionable summary.\n3. Summarize the key points in an article.\n4. Write witty comments on social threads.\n5. Translate your email to any language.\n\n![uploaded image](/media/?type=post&id=83737&key=user_uploads/116722/c2c9846e-f5d2-431f-820c-c8e45efed8ea)\n\nAI Blaze allows you to:\n\n1. Create personal AI prompt templates and use them anywhere.\n2. Automatically include the full content of the page in your prompt.\n3. Write new text or improve the written text.\n\n![uploaded image](/media/?type=post&id=83737&key=user_uploads/116722/2b9e8044-b4c6-44a9-a304-44a15a2c6b95)\n\n![uploaded image](/media/?type=post&id=83737&key=user_uploads/116722/a5df25bb-9311-426c-8739-d4338b3a2fcb)\n\n",
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        "created_at": "2024-09-04T12:11:51.222Z"
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    "name": "Trendpop",
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    "website": "http://trendpop.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Trendpop is the leading analytics and insights platform for short-form video marketing. We’re on a mission to help anyone go viral on social video platforms. We’re a deeply technical team that has taken a data-first approach to this problem: our core engine has collected over a billion social video posts that are analyzed with state-of-the-art algorithms to understand the recommendation algorithms that power virality. \r\n\r\nTrendpop was co-founded by Yoav Zimmerman (CEO) and Jonathan (Yoni) Ben-tzur (CTO) in August 2020, raising money from YCombinator (W21) to build Trendpop and growing to profitability in 12 short months. In January 2022, Trendpop was acquired by Collab, a veteran company in the digital creator space and an official TikTok creative and marketing partner. Today, Trendpop powers the TikTok marketing programs of top major record labels in North America and is quickly expanding to new markets in the film, television, beauty, and DTC eCommerce industry. Trendpop is currently used by leading marketing and A&R professionals in the music industry (both indie and major) to help their artists go viral on TikTok and hundreds of brands and creators who consistently win on social video.",
    "one_liner": "Discover trends as they happen",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1626217428,
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      "Social Media",
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      "Creator Economy"
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    "batch": "Winter 2021",
    "status": "Acquired",
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      "United States of America",
      "America / Canada",
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    "url": "https://www.ycombinator.com/companies/trendpop",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/trendpop.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usetrendpop",
    "x_url": "https://twitter.com/usetrendpop",
    "fb_url": "https://www.facebook.com/usetrendpop/",
    "cb_url": "https://www.crunchbase.com/organization/trendpop",
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        "full_name": "Jonathan Ben-tzur",
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        "date": "Feb 16, 2022"
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    "website": "https://lighttwist.com",
    "all_locations": "Denver, CO, USA; Remote",
    "long_description": "LightTwist let you record and stream your show in a realistic virtual studio, even if your guests and co-hosts are remote. All you need is a camera, a browser, and LightTwist.",
    "one_liner": "Realistic virtual video studio to record and stream from your browser",
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "year_founded": 2021,
    "city": "Denver",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lighttwist",
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        "full_name": "Vikas Reddy",
        "title": "Founder",
        "founder_bio": "Vikas is the Founder and CEO of LightTwist. Prior to LightTwist, he was co-founder of RedLaser (barcode scanning price comparison app, acquired by eBay in 2010), and co-founder of computer vision startup Occipital where he built products like Structure Sensor and Canvas.\n\nHe graduated from the University of Michigan with a degree in Computer Science Engineering.",
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        "linkedin_url": "https://www.linkedin.com/in/vikasreddy/",
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        "title": "LightTwist - Record and stream in a realistic virtual studio, even if your guests and co-hosts are remote",
        "tagline": "A virtual video studio that runs in Chrome",
        "body": "Hi friends! Vikas here from LightTwist, excited to share our new launch!\n\n**Check out our 45 second launch video here**:[ https://www.youtube.com/watch?v=fYGvhRrOXBI](https://www.youtube.com/watch?v=fYGvhRrOXBI)\n\n**TL;DR:** LightTwist lets you record and stream in a realistic virtual studio, even if your guests and co-hosts are remote.\n\n**The problem**: Your video/podcast/webinar looks like a boring Zoom call. If you want to upgrade to something that looks like a real show you need to build out a physical video studio and bring people into it.\n\n**The solution:** LightTwist is a virtual video studio that runs in Chrome - all the heavy compute is done in the cloud using realtime computer vision, Unreal Engine 5, and WebRTC. This means you can record and stream your show, product announcement, or webinar in a realistic virtual studio, even if your guests and co-hosts are remote.\n\n**We’re launching publicly next week, July 1 at 9 am PT but wanted to give early access to YC!**\n\n**Launch YC special offer 1 (up to 10 spots) - Buy a Show!** Purchase [here](https://buy.stripe.com/9B6aEY7YX0Iv0Bo6Xz5c40b)\n\n* We’ll record and produce your WWDC style product announcement or podcast/YouTube show episode for $500.\n* Includes customized virtual studio with your branding and 2 months of LightTwist Studio.\n* We’re experimenting with a full service product which is why we’re offering this on Launch YC!\n\n**YC special offer 2 - 90% off LightTwist for 2 months!** Sign up [here](https://studio.lighttwist.com/onboarding/9996d28e-75a0-476b-ad7b-621d43200f95) (use promo code **LAUNCHYC2026**)\n\n* You can sign up, pick from a studio template and start recording or streaming.\n* I’ll personally help you get your studio set up! I’ll email you after you sign up to set up a time\n\n**Ask:** If there’s a creator or company you think would be a great fit, please let me know or have them email me at [vikas@lighttwist.com](mailto:vikas@lighttwist.com) !\n\n**How we got here:**\n\nI started LightTwist in 2021 after seeing how Industrial Light and Magic built a huge 360 surround stage for the Mandalorian show where they had a tracked camera and rendered the scene in realtime using Unreal Engine.\n\nI’ve started a few computer vision companies (RedLaser, a barcode scanning price comparison app -[acquired by eBay](https://www.wsj.com/articles/BL-DGB-15645), [Twindo.com](http://Twindo.com) - FKA Occipital), so I thought there had to be a way to make virtual production much more accessible using computer vision and software engineering.\n\nWe’ve gone through several iterations, started as an iOS app for filmmakers, built a macOS app to be an awesome virtual camera for Zoom/etc, but have gotten a lot more traction once we positioned LightTwist as a virtual video studio and rebuilt it to run in the cloud.\n\nWe’ve signed an enterprise customer using LightTwist to power their video streaming platform (not yet announced!), and we’ve been iterating with other creators and studios including building a gameshow for Jimmy Fallon’s video production company.\n\nWe’re excited to be rolling this out publicly!\n\n![uploaded image](/media/?type=post&id=104358&key=user_uploads/553876/8b670e29-4613-40a1-bfca-92be5d46d938)\n\n**Launch video here**: [**https://www.youtube.com/watch?v=fYGvhRrOXBI**](https://www.youtube.com/watch?v=fYGvhRrOXBI)",
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        "votes": 6,
        "created_at": "2026-06-30T22:21:55.751Z"
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    "name": "LogisticsOS",
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      "logisticsOS"
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    "website": "https://logisticsos.com",
    "all_locations": "Ontario, CA, USA; Remote",
    "long_description": "LogisticsOS provides route optimization and fleet dispatching algorithms as services to let any last-mile company offer same-day and next-hour delivery. We are the creators of the route optimization engine that both FedEx and USPS are using on production today. We increase profit per delivery by 15% and optimize thousands of deliveries in seconds using 30X faster algorithms.",
    "one_liner": "World's fastest and most optimal route optimization engine",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1610906188,
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    "regions": [
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    "year_founded": 2020,
    "city": "Ontario",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/logisticsos-inc",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/brad-flora"
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        "full_name": "Yuzhe Yan",
        "title": "Founder",
        "founder_bio": "Hi there, I am Yuzhe. I am an algo expert and a C++ guru. Let me know how I can help. ",
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        "linkedin_url": "https://www.linkedin.com/in/yuzhe-yan-257573a8/",
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        "full_name": "Tiangang Song",
        "title": "Founder",
        "founder_bio": "Tech geek, ask me about any technologies. Also interested in many other fields like music, philosophy, psychology, physics, etc.",
        "is_active": true,
        "linkedin_url": "http://linkedin.com/in/tgsong",
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    "id": 22975,
    "name": "Noble",
    "slug": "noble",
    "former_names": [
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    "website": "https://benoble.io/",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Noble helps companies quickly assess the creditworthiness of their customers and monitor it over time. We do this by providing the modular components needed to quickly build a complete credit-underwriting infrastructure.\r\n",
    "one_liner": "Risk decisioning platform ",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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    "regions": [
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      "Middle East and North Africa"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/noble",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/noble.json",
    "year_founded": 2021,
    "city": "Tel Aviv-Yafo",
    "country": "IL",
    "linkedin_url": "https://www.linkedin.com/company/noble-team/",
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        "full_name": "Tomer Biger",
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        "linkedin_url": "https://www.linkedin.com/in/tomer-biger-194a9ba3/",
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        "user_id": 586635,
        "full_name": "Moran Mishan",
        "title": "Founder",
        "founder_bio": "\"Those who say it can't be done are usually interrupted by others doing it.\"\n-James Baldwin\nAn experienced software engineer, with strong motivation and capabilities for getting the job done quickly and efficiently.\n\n#Coding#Surfing#Kids#Family#Hacking#Beer#sea#Gym#tech",
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        "linkedin_url": "https://www.linkedin.com/in/moran-mishan-9389b640/",
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        "date": "Sep 21, 2022"
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    "id": 22985,
    "name": "Partnered",
    "slug": "partnered-2",
    "former_names": [
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    "website": "https://partnered.com",
    "all_locations": "New York City, NY, USA; New York, NY, USA; Remote",
    "long_description": "Partnered is the network where B2B sales teams share customer introductions. Join for free and get started in less than five minutes.",
    "one_liner": "The network where sales teams connect to share customer introductions.",
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    "year_founded": 2018,
    "city": "New York City",
    "country": "US",
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        "full_name": "Adam Michalski",
        "title": "Founder",
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        "full_name": "Tim Sherwood",
        "title": "Founder",
        "founder_bio": "The product and engineering half of Partnered.io.\n\nPreviously led teams at DataRobot, and built social and collaboration platforms that are enhanced by workflows and automation.",
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    "id": 22986,
    "name": "OpenCode",
    "slug": "opencode",
    "former_names": [
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      "SST",
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        "body": "Hi YC! This is [Aromal](https://bookface.ycombinator.com/user/251201) and [Arjun](https://bookface.ycombinator.com/user/198845), the founders of ZOKO.\n\nZoko (https://www.zoko.io/) now lets ecommerce merchants add a fully-functioning sales agent to their WhatsApp Business number in a few minutes.\n\n**Here’s a video of how it works**\n\nhttps://www.youtube.com/watch?v=Zj6zNXdH8Tc\n\n**Who is it for** \nWe are building this for the 200M monthly active businesses on WhatsApp. Most business today, use WhatsApp as fancy SMS - i.e. for sending out marketing blasts. They don’t have a way to scale sales inside WhatsApp.\n\n**Our Backstory**\n🤔 We started off with an ecommerce business, entirely on WhatsApp, which grew to a customer base of 200K followers on Facebook, who would make purchases after seeing our weekly product drops on WhatsApp.\nOther businesses started reaching out to us, offering to pay for our \"WhatsApp sales tools\". That was the Aha moment! We realized that selling these tools to other businesses, was the way to go and launched a SaaS business. Through the good grace of a lot of people helping us along the way - we got paying customers, investors, even YC and making millions in revenue profitably! yay!\n\n**Wanna play with it?**\nSure! Open this link in WhatsApp https://wa.me/c/918849966041 (If you have WhatsApp Pay add the 1 INR product and make a real payment to get the full experience)\n\nWe are very open to feedback and have thick skins. Feel free to reach out to any of us with feedback, questions, etc. Email [founders@zoko.io](mailto:founders@zoko.io) or whatsapp me directly [wa.me/919108281134](http://wa.me/919108281134)\n\n**Ask**\nThanks for reading about us. **_We are looking to connect with ecommerce brands in WhatsApp dominated markets - India, Middle East, Western Europe and South America._** If you are one or know of brands that would love to scale-up sales on WhatsApp, please get in touch with us at [founders@zoko.io](mailto:founders@zoko.io), thanks :)",
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    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/codeball",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/codeball.json",
    "year_founded": 2020,
    "city": "Stockholm",
    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/sturdy-devtools",
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        "user_id": 591904,
        "full_name": "Kiril Videlov",
        "title": "Founder",
        "founder_bio": "Software Enthusiast. Love developer tools & automation",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kirilv/",
        "x_url": "https://twitter.com/krlvi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2fd4b1891697cb734650e0797a953f7ecb2de20.jpg"
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      {
        "user_id": 586182,
        "full_name": "Gustav Westling",
        "title": "Founder",
        "founder_bio": "Stockholm, Sweden",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gustavwestling/",
        "x_url": "https://twitter.com/zegl",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/244d49dacc15bf0e90adf2d9dd3acde5044873b1.jpg"
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    "launches": [
      {
        "id": 64214,
        "title": "🧠 Codeball – AI Code Review",
        "tagline": "Codeball approves Pull Requests that a human would have approved. Wait less for review, save time and money.",
        "body": "Hey fellow builders!\n\nI'd like to show you something we recently built at Sturdy (W21).\n\n[**Codeball**](https://codeball.ai/) **is a code review AI which approves safe Pull Requests that a human would have approved.** We _hate_ waiting for reviews.\n\nThis started off as scratching our own itch in answering \"How predictable are programmers?\" Very predictable, turned out to be the answer.\n\n![uploaded image](/media/?type=post&id=64214&key=user_uploads/586182/2a1fd4ab-7a26-4a54-a9cd-a7ccc394aaed)\n\n## **🧠 How**\n\nCodeball is trained on over 1M Pull Requests, so it has seen tons of failure (shitty code) and success (decent code) patterns, making it really good at telling the difference.\n\nYou can play with it at [codeball.ai](https://codeball.ai) where you can do \"historical\" tests on GitHub repos to see what Codeball would have done.\n\nUsing AI for mundane reviews saves a bunch of time, but the part that's really cool is that once you stop rubber stamping every single PR, you pay more attention to the tricky ones.\n\n## **👉 Getting started**\n\n![uploaded image](/media/?type=post&id=64214&key=user_uploads/586182/956431aa-6b25-45dc-b343-fb9905cced54)\n\nYou can add Codeball to your repository as a [GitHub Action](https://github.com/sturdy-dev/codeball-action/) (takes like 2 minutes).\n\n_Try for free!_\n\n## **💻 What are developers saying?**\n\nCodeball is currently used by over 100 open-source repositories, including HUGE communities like gogs, kratos, and emqx!\n\n“This is incredible, don’t forget to charge us!” – CEO\n\n“I love it, developers are now trying to ‘cheat’ the system by creating smaller PRs, just like I’ve been telling them to!” – Senior Software Engineer\n\nAlso a bunch more in the [Hacker News thread](https://news.ycombinator.com/item?id=31533180) that made front page recently.",
        "url": "https://www.ycombinator.com/launches/Ghi-codeball-ai-code-review",
        "votes": 22,
        "created_at": "2022-06-30T07:52:21.707Z"
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    "id": 23279,
    "name": "Chatwoot",
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    "website": "https://www.chatwoot.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Chatwoot is an AI-powered customer support platform that enables businesses to deliver exceptional support experiences. Built as a modern, open-source, and self-hosted alternative to tools like Intercom and Zendesk, Chatwoot brings all your customer conversations into one place. You can connect email, website live chat, social media accounts, WhatsApp, and more, making it easy to manage every interaction from a single, unified platform.",
    "one_liner": "The modern, open source, self-hosted AI customer support platform",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1614018154,
    "tags": [
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      "Customer Success",
      "Open Source",
      "Customer Service",
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/chatwoot",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/chatwoot.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/chatwoot",
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    "fb_url": null,
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    "github_url": "https://github.com/chatwoot",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
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        "user_id": 379413,
        "full_name": "Pranav Raj",
        "title": "Founder",
        "founder_bio": "CEO, Chatwoot",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pranavrajs/",
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      {
        "user_id": 165804,
        "full_name": "Sojan Jose",
        "title": "Founder",
        "founder_bio": "CTO, Chatwoot (W21) | Co-founder Marketfox ( YC W17)",
        "is_active": true,
        "linkedin_url": "https://in.linkedin.com/in/sojanofficial",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Open source tools to boost your productivity | TechCrunch",
        "url": "https://techcrunch.com/2024/08/11/a-not-quite-definitive-guide-to-open-source-alternative-software/",
        "date": "Aug 11, 2024"
      },
      {
        "title": "30 startups that show how open source ate the world in 2021 | VentureBeat",
        "url": "https://venturebeat.com/data-infrastructure/30-startups-that-show-how-open-source-ate-the-world-in-2021/",
        "date": "Jan 03, 2022"
      },
      {
        "title": "Chatwoot challenges Zendesk with open source customer engagement platform | VentureBeat",
        "url": "https://venturebeat.com/2021/08/09/chatwoot-challenges-zendesk-with-open-source-customer-engagement-platform/",
        "date": "Aug 09, 2021"
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    "id": 23280,
    "name": "Infracost",
    "slug": "infracost",
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    "website": "https://infracost.io",
    "all_locations": "Remote",
    "long_description": "Infracost shifts cloud costs left and makes FinOps proactive. It sits in the engineering workflow (CI/CD), and shows the cost impact of code changes (IaC) before the code is shipped to production. This catches costly mistakes before any money has been spent. It also checks to make sure all resources are tagged with your set tagging policy, and runs checks on the code against our FinOps policy packs, ensuring best practices are followed (e.g. using Graviton processors and storage lifecycle rules).\r\n\r\nThis creates a cost-aware engineering culture.",
    "one_liner": "Shift FinOps Left: Proactively Find & Fix Cloud Cost Issues",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1613727779,
    "tags": [
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      "DevSecOps",
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      "Fully Remote"
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "In our first startup, we built one of the first cloud cost management products, which was later acquired and is now part of the Flexera One product. That was back in 2012. The cloud cost management space hasn’t changed in 10 years. Every company still starts from the bills, meaning they look for issues and react. With Infracost, we wanted to apply the shift left philisophy, which worked great is security to cloud costs. That’s what Infracost has become - we [Shift FinOps Left](https://www.infracost.io/) into the engineering workflow."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We applied to YC back in 2012. Back then there was 10,000 prices from AWS. Since then, [cloud costs have become very complex](https://www.infracost.io/blog/why-are-cloud-costs-so-complex/), and we now track nearly 4 million prices from AWS, Azure and GCP. YC was fantastic back then (we interviewed with PG), and it was even better when we got accepted into the W21 batch!"
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "Our YC group keeps a monthly check-in going. It has been great to meetup on Zoom once a month to talk about any main issues, questions, learnings that any of the companies have had."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Every single cloud cost management product out there is reactive in nature. Infracost is the only FinOps product that is designed with engineers in mind, making it easy for them to ship code fast, and keep within FinOps best practices before they merge their code. Things like:* Ensuring the right [cloud tags](https://www.infracost.io/docs/infracost_cloud/tagging_policies/) are set* Ensuring [FinOps best practices](https://www.infracost.io/docs/infracost_cloud/finops_policies/) are followed* [Budgets](https://www.infracost.io/docs/infracost_cloud/guardrails/) are checked before money has been spent* Data is integrated into Jira with our [FinOps for Jira](https://www.infracost.io/docs/infracost_cloud/jira_integration/) appAll within the engineering workflow (directly in a GitHub PR, or GitLab MR)."
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    "url": "https://www.ycombinator.com/companies/infracost",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/infracost.json",
    "year_founded": 2020,
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
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        "user_id": 27702,
        "full_name": "Ali Khajeh-Hosseini",
        "title": "Founder",
        "founder_bio": "Ali Khajeh-Hosseini is the co-founder of Infracost, where he leads Product and Customer Success. He has spent over a decade at the intersection of cloud infrastructure and cost optimization, including earning a PhD in cloud cost modeling—before \"FinOps\" was even a term. Prior to Infracost, Ali co-founded two cloud startups that were acquired. Today, he works closely with some of the world’s largest enterprises to make cloud costs actionable, automated, and developer-first.",
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        "full_name": "Alistair Scott",
        "title": "Founder",
        "founder_bio": "Co-founder of Infracost. Developer at heart. Love to ski and cook. Currently on a mission to cook a dish from every country in the world.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aiscott/",
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        "title": "The next chapter in Shifting FinOps Left: Infracost has raised a $15 Million Series A - Infracost",
        "url": "https://www.infracost.io/blog/infracost-has-raised-a-15-million-series-a/",
        "date": "Nov 18, 2025"
      },
      {
        "title": "Infracost: The “DevFinance” Cloud Cost-Management Solution We Were Looking For | by Bogomil Balkansky | Sequoia Capital Publication | Sep, 2021 | Medium",
        "url": "https://medium.com/sequoia-capital/infracost-the-devfinance-cloud-cost-management-solution-we-were-looking-for-1cd75300a600",
        "date": "Sep 23, 2021"
      },
      {
        "title": "Infracost Raises $2.2m From Sequoia To Help Engineers Lower Their Cloud Computing Costs",
        "url": "https://www.forbes.com/sites/frederickdaso/2021/09/23/infracost-raises-22m-from-sequoia-to-help-engineers-lower-their-cloud-computing-costs/",
        "date": "Sep 23, 2021"
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    "id": 23290,
    "name": "Kitemaker",
    "slug": "kitemaker",
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    "website": "https://kitemaker.co",
    "all_locations": "Oslo, Oslo, Norway; Remote",
    "long_description": "Kitemaker is a faster and more collaborative alternative to Jira optimized for remote teams.\r\n\r\nIt's helping teams spend less time and effort on collaboration by providing a place for discussing and documenting initiatives, it collects activities and discussions across tools, and it's fast and simple to use.\r\n\r\nUnlike tools like Jira and Notion, our primary focus is helping software development teams spend less time coordinating across tools and roles so they have more time figuring out and building the things their users want.",
    "one_liner": "A faster and more collaborative alternative to Jira for remote teams",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1614618589,
    "tags": [
      "Developer Tools",
      "Productivity",
      "Team Collaboration",
      "Remote Work"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Acquired",
    "industries": [
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    "regions": [
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      "Europe",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/kitemaker",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/kitemaker.json",
    "year_founded": 2019,
    "city": "Oslo",
    "country": "NO",
    "linkedin_url": "https://www.linkedin.com/company/kitemaker",
    "x_url": "https://twitter.com/KitemakerHQ",
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    "cb_url": "https://www.crunchbase.com/organization/kitemaker",
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        "user_id": 394001,
        "full_name": "Sigurd Seteklev",
        "title": "Founder",
        "founder_bio": "CEO and founder of Kitemaker. Long experience with product management from team to director level. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sigurd-seteklev/",
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      {
        "user_id": 396937,
        "full_name": "Kevin Simons",
        "title": "Founder",
        "founder_bio": "Managed software development teams for about 10 years. Big believer in autonomous, cross-functional, self-organizing teams that are obsessed with delivering value to users.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ksimons/",
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      {
        "id": 76035,
        "title": "Kitemaker - Build better software. Together.",
        "tagline": "Everything you need to organize the product development process",
        "body": "_**TL;DR:** Kitemaker is a tool that allows you to keep specifications, user feedback, roadmaps, and tasks in one place, providing a better workflow than any collection of product management, documentation, and issue-tracking tools. Is it fast? Yes. Is it simple and easy to use? Absolutely. In addition, it works very well to facilitate collaboration between engineering, design, and product management._\n\nHey!\n\nWe're Kevin and Sigurd, the co-founders of [Kitemaker](https://kitemaker.co/). We built Kitemaker because we felt that the tools we used for project management, collecting feedback, and writing specifications were disconnected. This resulted in engineers, designers, and product managers working in separate silos, making it harder to focus on what truly matters: building things that users want.\n\n# **The problem**\n\nMost YC companies have taken the wisdom of [Michael Seibels' \"Product Development Cycles\"](https://www.ycombinator.com/library/4e-guide-to-product-development) to heart. To reach product-market fit, we need to talk to customers, figure out what they want, build, launch, and then iterate. There are plenty of good tools to collect user feedback, write specification documents, and track tasks/issues.\n\nHowever, it's all disjointed. It’s easy to drop the ball on user feedback, which isn’t connected to the tool where we’re writing specs, which again isn’t connected to our issue tracker. It's easy to become disorganized or spend too much time project managing when we should be spending as much time as possible talking to users and iterating on the product and the messaging.\n\n# **Our solution -** Kitemaker\n\nKitemaker allows you to keep specifications, tasks, roadmaps, and user feedback in one place. We have carefully designed it to provide a better workflow than any collection of product management, documentation, and issue-tracking tools.\n\n![uploaded image](/media/?type=post&id=76035&key=user_uploads/394001/e6a52980-d8ce-450d-9e10-a956b9fe3884)\n\n# **How it works**\n\nThe basic unit in Kitemaker is the work item. It has a document where you can write your specifications and break them into tasks, as well as an activity feed for discussions and to see what is happening across the development tools. We encourage you not to split work items into many small pieces but rather use to-dos to keep track of the tasks. This way, you will be able to focus on what you plan to deliver to your users, rather than individual tasks. Additionally, you will have all the to-dos in the same place as your discussions and specifications, meaning there will be one place to see everything relevant to a new feature or a bug fix.\n\n![uploaded image](/media/?type=post&id=76035&key=user_uploads/394001/b736cb07-b7ca-4c58-adee-c43de4ae3fde)\n\nWhen you receive user feedback, we have a section where you can organize all of it. You can either write the feedback directly in Kitemaker, or you can use our Intercom or Zapier integrations (with more integrations to come). You can select any part of the feedback, capture it as an insight, and link it directly to work items. Since the insights and feedback will be directly linked to the work items, you and your team will know exactly what was said and by whom on the work item screen.\n\n![uploaded image](/media/?type=post&id=76035&key=user_uploads/394001/227b02d1-81c1-44a7-8ba1-7696c42f9183)\n\nThere are many more features and integrations for you to explore, so if you are curious, feel free to check out our [website](https://kitemaker.co/).\n\n# What our users love about Kitemaker\n\n* It's fast, easy to use, and simple to get started with.\n* Work items let you have specs, tasks, and discussions in the same place, making it easy for engineering, design, and product management to collaborate in the same tool.\n* Having user feedback directly connected to the stuff you are working on is incredibly powerful, and the Intercom integration directly syncs conversations into Kitemaker.\n* Our to-dos have everything engineers expect for issues, like git automation, referencing, and metadata, so the hierarchy fits perfectly for teams that focus on shipping awesome stuff to users.\n\n# Asks\n\nWe love all kinds of feedback, so if you are curious about Kitemaker, head over to [https://www.kitemaker.co](https://kitemaker.co/) and give us some feedback when you have tried it.\n\nYou can also join our [community here](https://join.slack.com/t/kitemakerco/shared_invite/zt-e7zjicw1-zbBpvLSRfOFKh3DutUAJ0A), where you can discuss Kitemaker or all things product development.\n\nWe’re also super interested in chatting with people about their product development process. Both to learn how you approach it or just give you some insights into what we have seen talking to many 100s of teams.",
        "url": "https://www.ycombinator.com/launches/JmN-kitemaker-build-better-software-together",
        "votes": 68,
        "created_at": "2023-11-07T16:16:30.689Z"
      }
    ]
  },
  {
    "id": 23292,
    "name": "AgendaPro",
    "slug": "agendapro",
    "former_names": [],
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        "title": "⚡Superteam – AI that manages Customer Service & Sales for you",
        "tagline": "Set Customer Service and Sales in autopilot with action-based AI models ",
        "body": "![uploaded image](/media/?type=post&id=70338&key=user_uploads/517243/302b90ca-afc4-4567-8e3f-1c9101816fec)\n\n# TL;DR\n\n**Superteam enables e-commerce businesses with action-based AI to provide instant customer service and conversational sales at a fraction of the cost.**\n\n### Here is how it works:\n\n![uploaded image](/media/?type=post&id=70338&key=user_uploads/517243/899c7b8a-2f21-4ed5-b7fe-5ec5b0eb61cb)\n\n### **❌** The problem\n\nOver 50% of e-commerce stores are small businesses with less than 10 employees. They struggle with customer service due to budget constraints and often lose potential customers because of slow responses and negative experiences. Larger e-commerce sites need help managing the right team size to handle thousands of customer queries during peak times.\n\n### **✨** The solution\n\n![uploaded image](/media/?type=post&id=70338&key=user_uploads/517243/d93d84a5-928d-40ad-a758-3b7a22f2ac73)\n\nWe developed advanced AI models to automate critical tasks in e-commerce, such as handling customer queries, processing orders, managing payments, scheduling appointments, and providing shipping updates, and integrated them into a user-friendly admin dashboard that integrates with Shopify, allowing businesses to easily manage their orders, customers, and products while monitoring the AI's performance.\n\n### **⚙️** How it works\n\n![uploaded image](/media/?type=post&id=70338&key=user_uploads/517243/1c825d1c-50e6-4ea2-8ccf-3ac042824dce)\n\nThe AI displays products, answers questions, handles payments, and gives shipping updates via messaging platforms (WhatsApp, Instagram DMs, Email, and soon iMessage). This helps businesses provide value and convert leads into customers from anywhere.\n\n### **🙏 Asks**\n\n* [Join our private beta](https://getsuperteam.com/?v=skip) to provide instant omnichannel customer service to your customers. \n* If you know an e-commerce owner, [refer them to us](https://getsuperteam.com/)!",
        "url": "https://www.ycombinator.com/launches/IIU-superteam-ai-that-manages-customer-service-sales-for-you",
        "votes": 170,
        "created_at": "2023-03-16T01:47:33.235Z"
      }
    ]
  },
  {
    "id": 23412,
    "name": "Axolo",
    "slug": "axolo",
    "former_names": [
      "Chaos"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e88055a4e50a63fdeebdd7a8e460ccd4727ddf5a.png",
    "website": "https://axolo.co",
    "all_locations": "Paris, Île-de-France, France; Remote",
    "long_description": "Better Code Reviews, Less Hassle, All in Slack\r\n\r\nAxolo takes your team's code review practices to the next level, integrating seamlessly with Slack to deliver real-time notifications and natural discussions.",
    "one_liner": "Improving Developer Experience with Streamlined Code Reviews",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1628179871,
    "tags": [
      "Developer Tools",
      "SaaS"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "France",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/axolo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/axolo.json",
    "year_founded": 2021,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/axolo",
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e88055a4e50a63fdeebdd7a8e460ccd4727ddf5a.png",
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    "founders": [
      {
        "user_id": 549618,
        "full_name": "Arthur Coudouy",
        "title": "Founder",
        "founder_bio": "Co-founder & CEO @ axolo.co",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arthurcoudouy/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4e8edcc9cd0eb668c33316f737c6c90e67aa357.jpg"
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    ],
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    "launches": [
      {
        "id": 83536,
        "title": "Minty: Create engaging video content",
        "tagline": "Minty transforms text into video from stock images.",
        "body": "**TLDR:** 🚀 We’re launching [**Minty**](https://minty.so)—a tool that transforms any text into video content from stock images, making it easier for creators and businesses to reach diverse audiences. We’d love your feedback!\n\n### **Our Ask:**\n\n🙌 Check out [**Minty**](https://minty.so), try it out, and share your thoughts. Your feedback will help us shape the future of this tool. You can try it by inputting a blog article you want a video for.\n\n### **❌ The Problem:**\n\nIn our journey with **Axolo**, we realized that repurposing content into various formats—blogs, presentations, videos—can be time-consuming and complex. With different audiences preferring different content formats, there’s a missed opportunity to fully engage with them.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfTYVGk1XGW73RMz0mTQA-DnnstfH2oiCv82Rn3qCqHGaJyKMy_EKzcLc-Lqzq1emfmhtc6SzblJADvj1OnVg4mkcszgGRL_hPrww4NQo3abgcMC9KNf-9GPXvp-GwbStge2zUxwr39MGnKpyFmIAaL3hoV?key=8obgDvzbHJEp-qJnYH2WgQ)\n\n### **The Solution:**\n\n✨ **Minty** makes creating videos from text with just three simple steps:\n\n1. **Form:** 📝 Enter your text, choose a music track, set the tone, pick a social media, and select a voice-over.\n2. **Storyboard:** 🎨 Minty creates an outline of what will be said that you can edit like a Powerpoint presentation, allowing you to edit the voice-over of your video.\n3. **Video Editing:** 🎬 We transform the storyboard into a fully edited video, complete with stock image, voice-over, and subtitles. You can customize it further with your own footage or choose from our stock library.\n\n   ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcVmdB62NGETD3HIqpeToFMDD74ByjaljxahKDzMDZgj1Xchy-FVkkyjdpi48t50DDtNiAmbqPD7usQD-NVOuWT2gVZk8483ONYSvyGu-gOAe1NHkhMGQu-JtQ-M2JPpAPURSt-5y2bTd7M0NA0LT-dpe0?key=8obgDvzbHJEp-qJnYH2WgQ)\n\n\nMinty takes the complexity out of video creation, enabling you to focus on delivering your message in a format that resonates with your audience.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdApxWGYHI-EKGabzZAt4L4deEjepUzni_STsvkqhsKj_gdnTv9lVo91fTjL6zkeCLb_N4Gqrue8hC8zFNGejxmxdwKYN0tS615Ma2zvb82f9go7ymk3OT4e7mhHEDnwdACbPcJtqmDKCE158VGZL7nexup?key=8obgDvzbHJEp-qJnYH2WgQ)\n\n",
        "url": "https://www.ycombinator.com/launches/LjM-minty-create-engaging-video-content",
        "votes": 8,
        "created_at": "2024-08-28T14:32:56.222Z"
      },
      {
        "id": 69349,
        "title": "🦁 GitLab Integrations: The store to find your next GitLab app",
        "tagline": "Help us list all the GitLab apps out there",
        "body": "Hey YC!\\\n\\\nwe've been working on the GitHub ecosystem for two years, and while integrating the GitLab API into our services, we found that it was missing key feature to help both developers build and engineering teams find new apps to improve their workflow.\n\nSo, we're excited to launch [GitLabIntegrations.com](http://GitLabIntegrations.com) to help developers find their next best GitLab apps.\n\n**🤯 Problem:**\n\nThere is no central place to list all of the integrations. GitLab only lists a few <https://docs.gitlab.com/ee/integration/>.\n\n**Integrations allow for a more flexible workflow**\n\nThere are many GitLab integrations out there that can help your team be more productive and help your business ship value to customers faster.\n\n**🦁 Introducing** [**GitLabIntegrations.com**](http://GitLabIntegrations.com)**: we help you find the tools you were always looking for.**\n\nOur platform features over 40 integrations and 11 categories to help you find what you're looking for quickly and easily. So, whether you're looking for tools to improve your team's productivity or help your business ship value to customers faster, [GitLabIntegrations.com](http://GitLabIntegrations.com) has got you covered.\n\n**Ask YC**\n\nIf you find our platform helpful, we invite you to contribute by adding integrations you use that aren't listed, or even the ones you've created. Simply follow the link: <https://gitlabintegrations.com/add-an-app> to share your integration with the community.\\\n\\\nHomepage:\n\n![uploaded image](/media/?type=post&id=69349&key=user_uploads/743846/fe801855-41ca-4c44-808f-6acf77f1e8b5)\n\n\nAxolo being featured:\n\n![uploaded image](/media/?type=post&id=69349&key=user_uploads/743846/e024637e-7969-44f8-9126-6c5b5411f716)\n\n",
        "url": "https://www.ycombinator.com/launches/I2X-gitlab-integrations-the-store-to-find-your-next-gitlab-app",
        "votes": 12,
        "created_at": "2023-02-16T14:46:20.840Z"
      },
      {
        "id": 66958,
        "title": "Axolo: Merge code faster 🐙 now on GitLab (and GitHub)",
        "tagline": "Review merge requests faster",
        "body": "On top of GitHub Axolo is now also available on GitLab. Now every team who is on Slack and GitLab or GitHub can collaborate seamlessly on code reviews.\n\n**🤯 Problem:**\n\nWhy pay engineers 100 thousand dollars to have them sit and wait for their code to be reviewed? Code review workflow is, more often than not, unproductive.\n\n\\\nWe’ve identified three major problems:\n\n1. Time to review: Takes too long to be reviewed and it’s painful.\n2. Context switching: Switching between code review tools and Slack to communicate is a time waster.\n3. Documentation: It’s hard to document everything that is being said. Merge requests are being talked about in DM and private calls. There is no documentation, and it’s hard to know why a decision was made.\n\n**🎯Developers lose precious focus time**\n\nWe estimate that developers waste at least 2 hours per week coordinating with one another on pull requests.\n\nFor a team of 20 that represents the work of 1 developer full-time. This is at least 140k$ per year.\n\n**🏚 In-house solutions and bots are going OBSOLETE.**\n\n1. Noizy - Alerts everyone and then gets ignored\n2. Hard to maintain\n3. Miss critical info: deployments, GitHub Actions, and checks.\n\n**\\\n🐙 Introducing Axolo: we bring back focus to your developers:**\n\nCompanies using Axolo have seen a 40% decrease in average cycle time. 86% of developers who use Axolo on a daily basis say that it has improved their code review workflow.\\\n\\\n**How does it work?**\n\nIt’s simple: Axolo creates an ephemeral Slack channel for each code review, invites only the right people, and adds all contextual information needed (CI/CD, ticket link, code conflicts, code review comments, etc..). When the code is merged the channel gets archived silently.\n\n\\\nStill Sceptical? Check our [reviews on G2](https://www.g2.com/products/axolo).\n\nWe have already more than 1400 engineers on Axolo every day and are proud to be working with excellent YC companies such as [@Weekday](https://bookface.ycombinator.com/company/22719), [@Formance (fka Numary)](https://bookface.ycombinator.com/company/24379), [@Lamin Labs](https://bookface.ycombinator.com/company/27092), [@Curebase](https://bookface.ycombinator.com/company/1884), [@Swayable](https://bookface.ycombinator.com/company/1878), [@Jovian](https://bookface.ycombinator.com/company/24205), [@Swayable](https://bookface.ycombinator.com/company/1878), [@Marble](https://bookface.ycombinator.com/company/24497), [@Centaur Labs](https://bookface.ycombinator.com/company/11948), [@Fuse](https://bookface.ycombinator.com/company/12073), [@ClipDrop](https://bookface.ycombinator.com/company/22752), and more…\n\n**Ask YC**\n\nCommunication and collaboration are one of the five pillars of highly effective tech teams (according to the [SPACE framework](https://axolo.co/blog/p/developer-productivity)).\\\n\\\nIf you are looking to have productive code reviews, and have squads composed of 3-15 engineers, we are interested in getting your feedback on Axolo. Just reach out within the chat on <https://axolo.co> and we’ll be around!",
        "url": "https://www.ycombinator.com/launches/HPy-axolo-merge-code-faster-now-on-gitlab-and-github",
        "votes": 11,
        "created_at": "2022-10-27T10:58:00.941Z"
      },
      {
        "id": 64233,
        "title": "Axolo 🐙  GitHub-Slack two-way synchronization",
        "tagline": "Enable your team to merge pull requests faster",
        "body": "**Problem?** GitHub pull request workflow is unproductive\n\n1. Time to review: Dangling pull requests are waste of time and a source of frustration for developers. They cause the code development process to slow down and prevent developers from focusing on a new task ahead.  Engineers need to write DM + @channels to get the attention their work needs.\n2. Context switching: Between GitHub, Slack, video calls, and their product management software, engineers are piling up their mental load with so many tools and notifications.\n3. Documentation: Pull requests are being talked about in DM and private calls. There is no documentation, and it’s hard to know why a decision was made.\n\n\\\n**Solution?** Axolo centralizes pull requests in contextual Slack channels\n\n1. 1 PR = 1 Slack channel. Only invites reviewers and creators.\n2. Get personalized and friendly reminders about stale pull requests.\n3. The conversation is saved on GitHub.\n4. The Slack channel is auto-archive when the PR is merged and you can also auto-leave PR channels after approval.\n\n![uploaded image](/media/?type=post&id=64233&key=user_uploads/549618/bcd6df74-f0de-4e66-86d9-d8f1e5ac0186)\n\n\n**🗣 What customers say about Axolo:** \n\nManuel: \"The tool we needed for the daily work\"\n\nRushil: “Big fan of Axolo. It makes communication easier between Slack and GitHub! Highly recommend!”\n\nManav: “Team has loved so far - much easier to track who's assigned to what without annoying everyone. Also love that we can discuss solutions in slack.”\n\nHrishi: \"I no longer miss any updates to the PRs I'm interested in\"\n\nAkshay: \"Been an early user & have not found anything else which comes close to improving our PR workflow\"\n\nMore about our 4.9/5 rating on G2: <https://www.g2.com/products/axolo/reviews#survey-response-6798037>\n\n![uploaded image](/media/?type=post&id=64233&key=user_uploads/549618/68dfba9a-97e8-40a0-822d-17b10f40ee08)\n\n![uploaded image](/media/?type=post&id=64233&key=user_uploads/549618/48ae6726-41e9-479b-9294-378452261ebc)\n\n![uploaded image](/media/?type=post&id=64233&key=user_uploads/549618/320ddcd8-17b0-43e9-9a2a-0e0f86e6385a)\n\n![uploaded image](/media/?type=post&id=64233&key=user_uploads/549618/082fe326-e5de-469d-9828-71e918cd1ca0)\n\n",
        "url": "https://www.ycombinator.com/launches/Gi1-axolo-github-slack-two-way-synchronization",
        "votes": 22,
        "created_at": "2022-06-30T16:06:55.836Z"
      }
    ]
  },
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    "id": 23416,
    "name": "Voosh",
    "slug": "voosh",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef1e643c10958ceb8cbae838ae55d8e2e2a2d5d9.png",
    "website": "https://voosh.ai/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Voosh is a Food Technology company aiming to empower Food Service brands using our proprietary visualisation tools and Data Science. One stop visualisation tool for CXOs, Operational heads or Zonal managers to get business insights and take real time decisions to help grow online sales.",
    "one_liner": "Making Restaurants more data-driven!",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1614678114,
    "tags": [
      "Food Tech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/voosh",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/voosh.json",
    "year_founded": 2020,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef1e643c10958ceb8cbae838ae55d8e2e2a2d5d9.png",
    "app_video_url": null,
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    "founders": [
      {
        "user_id": 593943,
        "full_name": "Priyam Saraswat",
        "title": "Founder",
        "founder_bio": "I am second time entrepreneur after starting a bike sharing startup named Tazzobikes. Post that launched OYO in China and led new initiatives for a bike sharing startup Bounce. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/priyam-saraswat-93836020/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47ce6330da76fa0dcce5d0b28a4bf7bc8bcf04ea.jpg"
      },
      {
        "user_id": 597473,
        "full_name": "Kshitiz Sanghi",
        "title": "Founder",
        "founder_bio": "Building Voosh- One-stop solution for restaurants to manage and grow on third party delivery platforms",
        "is_active": true,
        "linkedin_url": "htpp://linkedin.com/in/kshitizsanghi/",
        "x_url": "https://twitter.com/kshitizsanghi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/feae8923b7d835064eff2d6fec202b7b6bcd7ca4.jpg"
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    ],
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  },
  {
    "id": 23430,
    "name": "Mystic",
    "slug": "mystic",
    "former_names": [
      "Neuro AI",
      "Neuro",
      "Mystic",
      "Mystic AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f860b32ddb9b39b9b1ae8c22f0c17f140dc5e9d4.png",
    "website": "https://www.mystic.ai/",
    "all_locations": "Austin, TX, USA",
    "long_description": "Mystic’s platform allows companies to easily and reliably deploy ML models on our serverless cloud or on their own infrastructure without requiring a team of MLOps engineers. With our Python SDK, data-scientists immediately get an endpoint from their own model, or any open-source models.\r\nOnce uploaded, our platform handles routing, multi-cloud scaling, caching, GPU optimization and other features to provide the ultimate ML inference platform.",
    "one_liner": "Low latency API to run and deploy ML models",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1614265935,
    "tags": [
      "AIOps",
      "Developer Tools",
      "Machine Learning",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/mystic",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/mystic.json",
    "year_founded": 2019,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mystic-ai",
    "x_url": "https://twitter.com/mysticdotai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/neuro-ai",
    "github_url": "https://github.com/mystic-ai/pipeline",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f860b32ddb9b39b9b1ae8c22f0c17f140dc5e9d4.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 316612,
        "full_name": "Paul Hetherington",
        "title": "Founder",
        "founder_bio": "Founder and CEO of Hlabs (W26), Prev Founder and CEO of Mystic (W21).",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/paul-hetherington/",
        "x_url": "https://x.com/paulcjh_",
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      },
      {
        "user_id": 178802,
        "full_name": "Oscar Rovira",
        "title": "Founder",
        "founder_bio": "Ex-Mystic.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/rovi/",
        "x_url": "https://twitter.com/roviosc",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b1e65009b9d878dd0870beade3a1f6f0323c2cd.jpg"
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    ],
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  },
  {
    "id": 23431,
    "name": "Navattic",
    "slug": "navattic",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d4a4ef6a3d05c5e0e6207e2f196eaafa06183e8.png",
    "website": "https://www.navattic.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Navattic helps sales and marketing teams instantly create interactive product demos.",
    "one_liner": "Interactive product demos",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1614276980,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "Marketing",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/navattic",
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        "title": "🐝 Wasp Beta - Develop full-stack web apps in React & Node.js without boilerplate",
        "tagline": "Get auth, CRUD, async workers and other common features via Wasp config language and write the rest of your logic in React, Node.js and Prisma",
        "body": "Hey developers! 👋 We’re Martin and Matija, founders of Wasp - we’re super excited to be here today!\n\nOur last big launch was one and a half years ago - since then a lot happened and **we’re proud to present Wasp Beta!**\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/0ed916ef-e2e5-4cd4-8241-f9702617e45e)\n\n### **⚡️TL;DR**\n\n**Wasp is the fastest way to develop full-stack web apps in React & Node.js**. Describe high-level features (auth, CRUD, async jobs, …) via a simple config language, and write the rest of your logic in React, Node.js and Prisma.\n\nWith the Beta release, we also [**announced our first hackathon**](https://betathon.wasp-lang.dev/) - make sure to join, have fun, and win cool prizes! (hint: wasp-themed mechanical keyboard 🐝 ⌨️)\n\nYou can see the 4-min demo video [here](https://youtu.be/eVXbctXquK4).\n\n### **🐝 🐝 The team**\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/49bc358b-14d3-4385-b593-f1b175a0795a)\n\nThis is us at our first retreat in Croatia (Vince, our devrel, who joined shortly after, expertly photoshopped in :D)!\\\nWe’re a distributed team of engineers and web development & programming language aficionados. Having worked at some of the world’s largest companies and startups, we experienced the problem we’re solving at various stages.\n\n### 💡 **What is Wasp?**\n\n**You can think of Wasp as a full-stack web framework for React & Node.js**. We solve the common problems you face when you start developing a web app - choosing all the parts of the stack, figuring out how to stitch them together in the best way, adding auth, running cron jobs, ...\n\nWasp also makes it super easy to work with and sync data models across the entire stack (front-end, back-end, database). You don't even have to define and deal with any kind of CRUD API - Wasp will do that for you under the hood.\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/7e32a672-dec6-4f31-9fa7-1c9c35de2545)\n\n### 🦉 **Who is it for?**\n\nSpeaking to developers we realized many of them just want to build, and they’ll use whichever tool helps them best achieve their goals. They don’t care that the library being used for making HTTP requests is 2kb bigger and builds 10ms slower than some new alternative. They just want to be sure they have all the best practices in place and that their choices won't come back to haunt them once their project grows.\n\nIf you can relate to that, then Wasp is for you. We know there are plenty of great solutions for developers today (frameworks, BaaS-es, code scaffolders, ...) but Wasp is probably the fastest one to get started with, and with the least amount of code.\n\n### 🍜 **What's the secret sauce?**\n\nThe main reason for that is Wasp's unique twist on web frameworks - a config language (DSL) that works alongside your React & Node.js code. It allowed us to **drastically reduce the amount of boilerplate and simplify the developer experience**. For example, full-stack authentication with both user/pass and Google methods takes only 8 lines of code.\n\nIn the future, the language approach could enable us to do some really exciting things such as supporting multiple frameworks and languages (even at the same time) and having full control over the generated code, introducing optimizations, etc.\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/d712d053-1786-4d31-af06-cc773c00444f)\n\nWasp now has its own language server - that means auto-completion, live error reporting, …\n\n🏘 **What can I build with Wasp?**\n\nPretty much any web app with a database! Anything you'd build with React & Node.js by themselves you can build with Wasp. Think SaaS, side projects, internal tools, hackathons, ...\n\nTo see what others are building with Wasp, take a look here: [Wasp showcase gallery](https://wasp-lang.dev/#showcases)\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/8cf380fa-522b-470a-bbf9-95b3f0201034)\n\nWith the intro out of the way, let's see what's new in Beta:\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/702a317f-f8e9-446e-b8f1-46f59e95cb5d)\n\n🔑 **Full-stack auth**\\\nLog in with your username & password or via Google! Other providers are also coming soon.\n\n🟦 **TypeScript support** \\\nWrite your code in TypeScript, both on the client and server! We're also migrating our whole codebase and adding new types every day.\n\n💨 **Tailwind support**\\\nJust add two config files and you are ready to use Tailwind in your project!\n\n⏳ **Running Async Jobs**\\\nSend emails, crunch data every night and build reports or anything that shouldn't be a part of a typical request-response cycle. Powered by pg-boss, zero setup required.\n\n🥛 **Optimistic updates support** Wasp will by default propagate your data model changes across the stack. Still, [in some cases](https://wasp-lang.dev/blog/2021/12/02/waspello#what-doesnt-work-yet), you might want more control over that flow for the sake of smoother UX - that is now easy to achieve with Wasp!\n\n📟 **Wasp Language Server**\\\nWasp now has its own LSP for VS Code (other editors coming soon)! That means improved syntax highlighting, code snippets, autocompletion, and error reporting. Everything you'd expect from a language!\n\n### **🙌 Our ask**\n\n* Try Wasp out & let us know your feedback - **join our Discord**!\n* J[oin our Beta hackathon - Betathon](https://betathon.wasp-lang.dev/)! It’s open until Dec 14\n* Share [Beta](https://wasp-lang.dev/blog/2022/11/26/wasp-beta-launch-week) with your developer friends",
        "url": "https://www.ycombinator.com/launches/HbQ-wasp-beta-develop-full-stack-web-apps-in-react-node-js-without-boilerplate",
        "votes": 20,
        "created_at": "2022-12-02T16:28:34.296Z"
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    "website": "https://meetanyway.com",
    "all_locations": "Stuttgart, BW, Germany; Remote",
    "long_description": "We help run engaging online conferences. Unlike Hopin or Zoom, we are super focused on connecting conference attendees with each other. Most attendees don’t actually go to watch the talks, they go for the networking. With us they can self-organize, meet and stay in touch. Usually it's incredibly hard for the organizer to build conferences which lead to key business opportunities for the attendees. We have good networking built-in.",
    "one_liner": "We help run engaging online conferences.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1616515267,
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    "url": "https://www.ycombinator.com/companies/meetanyway",
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    "year_founded": 2019,
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        "full_name": "Erich Lehmann",
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        "full_name": "Sascha Metz",
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    "name": "Waydev",
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    "website": "https://waydev.co/",
    "all_locations": "Bucharest, Romania; Remote",
    "long_description": "Waydev maps AI velocity across the SDLC — built on DORA, SPACE, and DX — turning developer tool data into board-ready evidence of adoption, impact, and ROI.",
    "one_liner": "Engineering intelligence for AI transformation",
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    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
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        "answer": "I started my entrepreneurial journey early, building my first company in Romania at 21. Over the next decade I launched multiple products and learned how hard it is for engineering teams to explain the value they create. The idea for Waydev came from firsthand frustration while trying to understand developer output beyond gut feelings and subjective dashboards. There was no clear way to measure engineering performance using system data, so I decided to build it myself. "
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        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "I applied to YC because I believed Waydev could become a category defining product and I wanted to sharpen our execution with the best early stage accelerator in the world. It wasn’t an easy path. I applied 13 times before being accepted, and each rejection forced me to refine the idea, tighten the pitch, and improve the product. When we finally joined YC, the experience was transformative. The batch pushed us to move faster, simplify our messaging, and talk to customers every day. Demo Day helped us raise capital and accelerate our trajectory. More importantly, YC gave us a mindset of relentless iteration that still defines how we operate."
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        "body": "Hey, we’re Waydev, and we’re launching Waydev AI on YC and [ProductHunt.](https://www.producthunt.com/products/waydev?launch=waydev-ai)\n\n![uploaded image](/media/?type=post&id=94663&key=user_uploads/22643/9cf132dd-67ec-4ece-bed1-d5c53f6c5981)\n\n### https://youtu.be/0Pz5mRiLpzE?si=rIQV4WzzaGLLB31M\n\n### Problem\n\nEngineering leaders struggle to understand performance, delivery, and the real impact of AI across their teams. Traditional engineering intelligence tools require endless dashboard setup, data interpretation, and manual correlation between GitHub, Jira, and other sources.\n\nThese legacy platforms were never built for the AI era - making it hard to measure AI adoption, productivity, and team impact in a way that feels natural or conversational. Even newer tools are bolting on “AI features” rather than rethinking the experience from the ground up.\n\n### Solution\n\nWe built **Waydev AI**, the first **AI-native conversational platform for Engineering Intelligence**, designed so leaders can stop analyzing dashboards and start asking questions.\n\nWaydev AI transforms how engineering teams understand performance and delivery. Just connect your tools - GitHub, Jira, Cursor, and more—and start asking in plain English:\n\n* “What’s our AI adoption rate this quarter?”\n* “Which teams improved their cycle time the most?”\n* “How has AI impacted our delivery and bug rates?”\n\n#### Key Features\n\n💬 **Conversational Interface:** Chat directly with your data instead of digging through dashboards.\\\n🤖 **AI-Native Insights:** Instantly generate reports, visual charts, and performance breakdowns from natural-language questions.\\\n🔌 **Connect Your Stack:** Integrate GitHub, Jira, Cursor, and more in seconds.\\\n📈 **Dynamic Reports:** Save and share real-time insights that update automatically as your teams ship.\\\n🔍 **AI Adoption Metrics:** Track how generative AI tools like Copilot or Cursor are influencing developer productivity.\n\n### Our Asks\n\n🎯 Try **Waydev AI** today! Sign up at [waydev.co/ai](https://waydev.co/ai) and start asking your data.\\\n🚀 Support our [Product Hunt launch on October 15, 2025](https://www.producthunt.com/products/waydev?launch=waydev-ai)\\\n💼 We’re hiring engineers and AI researchers passionate about transforming the future of Software Engineering Intelligence.",
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    "id": 23531,
    "name": "Authologic",
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    "website": "https://authologic.com",
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    "long_description": "Authologic is an orchestration and aggregation layer for local KYC & AML methods. We allow businesses to check the identity of their clients online using video/biometrics, banking data, and government issued digital IDs. Our API  allows a flexible definition of verification scenarios based on the risk profile of the client or risk involved in the given process.",
    "one_liner": "Stripe for online identity verification",
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        "full_name": "Doug Neumann",
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        "full_name": "Shaw Terwilliger",
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        "full_name": "Daniel Mazur",
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        "founder_bio": "As co-founder and COO of SwiftSku, I manage operations and strategy, however, I come from a background of analytics and design.\n\nFor pleasure, I enjoy playing tennis and learning about emergent technologies in the fields of additive manufacturing, machine learning, and decentralized applications.",
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        "title": "Founding Head of Growth",
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        "location": "New York, NY, US",
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    "id": 23612,
    "name": "Terra API",
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        "full_name": "Kyriakos Eleftheriou",
        "title": "Founder/CEO",
        "founder_bio": "Weight lifter, ex-Special Forces and founder + CEO of Terra API\n",
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        "linkedin_url": "https://www.linkedin.com/in/kyriakos-eleftheriou/",
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        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/terra-api/jobs/0f5CP0r-ai-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$50K - $120K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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      },
      {
        "id": 63172,
        "title": "Sales Strategist",
        "url": "https://www.ycombinator.com/companies/terra-api/jobs/4QSWmBq-sales-strategist",
        "location": "London, England, GB",
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        "salary_range": "£50K - £90K GBP",
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      },
      {
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        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/terra-api/jobs/R0hx4lm-forward-deployed-engineer",
        "location": "London, England, GB / CY / Remote (US)",
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        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
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        "title": "Designer",
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        "location": "London, England, GB",
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        "title": "Commercial Lead",
        "url": "https://www.ycombinator.com/companies/terra-api/jobs/TvgdSp9-commercial-lead",
        "location": "London, England, GB",
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    "news": [
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        "title": "Alistair Brownlee OBE: celebrating Alistair's OBE from Prince of Wales | Terra",
        "url": "https://tryterra.co/blog/Alistair-Brownlee-OBE-award",
        "date": "Oct 14, 2026"
      },
      {
        "title": "Terra Research Published in Nature's Biological Timing and Sleep",
        "url": "https://tryterra.co/research/terra-research-nature-publication",
        "date": "Jun 28, 2026"
      },
      {
        "title": "What's the hardest endurance sport? Olympic triathlon champion Alistair Brownlee weighs in with data analysis",
        "url": "https://www.olympics.com/en/news/hardest-endurance-sport-olympic-triathlon-alistair-brownlee-data-analysis",
        "date": "Apr 22, 2026"
      },
      {
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        "url": "https://x.com/kyriakosel/status/2034744624217297215",
        "date": "Mar 18, 2026"
      },
      {
        "title": "Podcast - Talks with founders, executives, and investors redefining Health",
        "url": "https://tryterra.co/podcast",
        "date": "Jul 01, 2024"
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    "launches": [
      {
        "id": 94347,
        "title": "Tyran: AI Health Agents for your app",
        "tagline": "Create health agents with any data source, and connect to your app",
        "body": "Hey 👋 We are building [Tyran](https://tyran.ai), the AI Health Agents.\n\n**tl;dr:** Build **AI health agents** on top of any data — wearables, labs, sleep, HRV. Detect jet lag, catch illness before symptoms, spot sleep apnea, flag overtraining — and plug it all into your app in minutes, without a line of code.\n\nhttps://www.youtube.com/watch?v=VXDRR_qU250\n\n## **What you can use Tyran AI for**\n\nSome early examples\n\n* Detect jet lag\n* Detect signs of potential asthma (NOT medical diagnosis, obviously!)\n* Detect the upcoming menstrual cycle\n* Understand recovery\n* Run multiple experiments: test different workout timings or rest protocols per user segment.\n\n## **How it works**\n\n1. Sign up, connect health data sources via plug-and-play auth widget.\n2. Pick an agent template (or prompt the agent).\n3. Define schedule + outcomes (alerts, notifications, adjusted plans).\n4. Get validated outputs (typed JSON), export via webhooks, or integrate directly into your product.\n\n## **What’s new**\n\n* 🚀 **Fast feature build** - From idea to working health insights in **minutes**\n* 🔗 **Connect any health source** - 500+ metrics from wearables, labs, nutrition, sleep, HRV, etc.\n* 📚 **Templates & agent types** - Prebuilt agents for recovery optimization, risk detection, women’s health, root-cause analysis, experimental health logic.\n* ⚙️ **Custom logic + actions** - Go beyond dashboards: trigger alerts, notifications, update workout plans, or send recommendations programmatically.\n* 🛠 **Full agent lifecycle tools** - scheduling, versioning, monitoring; typed output (JSON) so downstream systems / UIs stay reliable.\n* **📝 Memory -** Agents remembering information and improving over time\n\n![uploaded image](/media/?type=post&id=94347&key=user_uploads/356569/43654838-a834-42b0-b3f1-d13639d6f526)\n\n",
        "url": "https://www.ycombinator.com/launches/OXj-tyran-ai-health-agents-for-your-app",
        "votes": 26,
        "created_at": "2025-10-03T15:44:22.728Z"
      },
      {
        "id": 81615,
        "title": "Health Scores for developers",
        "tagline": "The easiest way to add Sleep, Stress, Heart and health scores for developers",
        "body": "[Health Scores](https://www.youtube.com/watch?v=frTfSO39e10)\n\nWe are launching today Health Scores: The easiest way for developers to integrate and display scores such as Sleep, Stress, Heart Health, Training Load and many more.\n\nThis provides a seamless way to show critical data points such as Sleep, Stress, Heart Health, Training Load, and much more to end users. \n\n**Launching Today: The Sleep Score**\n\nThe first available feature, the Sleep Score, is now live. \n\nThis score analyzes various aspects of a user’s sleep, including REM, Deep, Light, and Awake stages, along with HRV, RHR, respiration, and body temperature, to provide a comprehensive sleep quality assessment.\n\n**Customizable Scoring Model**\n\nAs a Developer, you can easily customise this and create proprietary models using a simple drag-and-drop interface, assigning different weights to various metrics to tailor the scores according to specific needs.\n\n[Click to get started](https://dashboard.tryterra.co)\n\n![uploaded image](/media/?type=post&id=81615&key=user_uploads/356569/fe0ade75-50c9-4bd5-808a-1ea55604a35d)\n\n",
        "url": "https://www.ycombinator.com/launches/LEN-health-scores-for-developers",
        "votes": 12,
        "created_at": "2024-06-19T16:48:14.926Z"
      },
      {
        "id": 80833,
        "title": "Terra API: Easily create AI health agents with wearable data",
        "tagline": "The easiest way for developers to create health agents with health data",
        "body": "**tl;dr:** Terra API allows you to connect health data with AI, such as GPT-4o and Claude 3, and develop health AI agents.\n\n**The story**\n\nOver the last year, hundreds of developers have used [Terra](https://tryterra.co) to create AI solutions. We’ve seen solutions for fitness, sleep, nutrition, telemedicine, longevity, and more.\n\nWe decided to reduce the complexity fully and embed all the AI experience within the dashboard so you can easily develop such solutions.\n\n![uploaded image](/media/?type=post&id=80833&key=user_uploads/356569/dac1c7ed-4d5d-4b2b-a337-d4e46ee93b8d)\n\n**How it works:**\n\n* Choose the wearables and health apps you want connected\n* Choose the AI you want, from GPT-4o to Claude 3.\n* Prompt the model\n* Choose your destination to receive the data\n\n**What’s coming next:**\n\n* More integrations with Perplexity, Llama and others\n* More destinations to store data\n* Improvement in prompting\n* Availability of voice, camera and more\n\n**Getting Started**\n\nCreate an account [here](https://dashboard.tryterra.co/) and choose your AI of choices from the processes.\n\n[ ](https://www.youtube.com/watch?v=PA2FR_A1pc0)",
        "url": "https://www.ycombinator.com/launches/L1l-terra-api-easily-create-ai-health-agents-with-wearable-data",
        "votes": 20,
        "created_at": "2024-05-14T16:46:02.256Z"
      },
      {
        "id": 71969,
        "title": "OdinAI by Terra",
        "tagline": "Generate health recommendations for any app",
        "body": "### **TLDR**:\n\nTo date, it has been super difficult to generate health insights and recommendations for your application.\n\nWith [OdinAI](https://tryterra.co/products/odinai), we make it super easy for you to add health recommendations to your app! We built all the necessary software tools and help you deliver these recommendations through ChatGPT!\n\n* Get started [here](https://tryterra.co/products/odinai?ref=producthunt)\n\n![uploaded image](/media/?type=post&id=71969&key=user_uploads/356569/bfda54d3-5766-4a7f-bf4f-c68ce32581d8)\n\n### What is [Terra](https://tryterra.co)\n\nAn API that makes it super easy for apps to connect to wearables and sensors.\n\nMany of our customers have been asking for an easy way to generate recommendations, so we connected with ChatGPT and made it possible.\n\n### The way it works:\n\n1\\. You upload your recommendations\n\n2\\. We prompt ML models and optimize them for your app\n\n3\\. You receive the recommendations through our API\n\nThis can be for your sleep, mental health, nutrition, training, and overall health app!\n\n[OdinGPT Private Alpha Release - Watch Video](https://www.loom.com/share/247f12f4519340278426b86cfc5ca148)\n\n![](https://cdn.loom.com/sessions/thumbnails/247f12f4519340278426b86cfc5ca148-with-play.gif)\n\n\n### What's coming in the upcoming updates:\n\n\\- Granular level responses\n\n\\- Chatbot to install for your app\n\n\\- Optimised recommendations for specific categories,\n\n\\- and many more!\n\nWould love to hear your thoughts, and feel free to ask for features you'd like to see!",
        "url": "https://www.ycombinator.com/launches/Iin-odinai-by-terra",
        "votes": 12,
        "created_at": "2023-06-01T13:45:02.528Z"
      },
      {
        "id": 64219,
        "title": "Terra: API to connect your app to wearables",
        "tagline": "New product: Connect your app to real-time wearable data.  Garmin, Fitbit, Oura, Peloton and others, through a single source",
        "body": "![uploaded image](/media/?type=post&id=64219&key=user_uploads/356569/73457b9e-0593-4ecd-b5e1-f6d5fc70f490)\n\n### The problem:\n\nConnecting to wearables such as Garmin, Fitbit, Oura, Wahoo, etc is a very long process. You need to deal with partnerships and poorly written docs and create an internal DevOps team.\n\n### What we do\n\n[Terra](https://tryterra.co/) is an **API** that makes it easy for apps to connect to all wearables.\n\nWe already have all the [integrations](https://tryterra.co/integrations) you need, such as Apple, Garmin, Peloton, Zwift, Freestyle Libre, Samsung, and the list goes on.\n\nOne integration is all that matters 😀\n\n### The new product\n\nWe just released our **new** beta product: **Real-time streaming** of wearable data, through our Websocket API! You can now connect any app, through your heart rate belt, be it from Polar, Suunto, Garmin or anything that supports BLE 🎉🎉\n\n* More about Terra [here](https://tryterra.co)\n* More about the real-time streaming [here](https://blog.tryterra.co/realtime-data-streaming-3db7a5a207ae)\n* More about the docs [here](https://docs.tryterra.co)\n* and some [stories](https://blog.tryterra.co/startup-spotlight/home) from our customers\n\n![uploaded image](/media/?type=post&id=64219&key=user_uploads/356569/226e3640-0d81-4cc3-a05a-26c352b56fe1)\n\n",
        "url": "https://www.ycombinator.com/launches/Ghn-terra-api-to-connect-your-app-to-wearables",
        "votes": 51,
        "created_at": "2022-06-30T09:24:13.771Z"
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        "title": "🔔 WebPushTest.com - iOS Safari web-push notifications demo & code",
        "tagline": "iOS 16.5 ships with a standards based web-push notifications, but you need a PWA to try it out",
        "body": "iOS launched web push notifications a month ago with 16.5, but there has been a surprising lack of examples to try out. We built [WebPushTest.com](http://WebPushTest.com) and made the code open source so more devs can try it out and share it with their coworkers!\n\nFor the longest time, iPhone apps needed to be “native” and downloaded from the App Store to utilize push notifications, but you will see that this is no longer true :)\n\nThis could be the thing that enables thousands of products to have native like presence, without the extra code, or having to deal with wrappers like Cordova. Apple is notorious for taking tech that has existed for years and propelling it into the mainstream  \n\nAs long-time HN users, we also included an option to subscribe to a feed of top Hacker News posts delivered via push to you every six hours. It makes it a fun little app instead of a boring demo!\n\nWorth noting that we don't track any personal info (random UUIDs for user IDs, so not even device IDs).\n\nWe’d love any feedback or shares. We also did a “Show HN” if you see us there!",
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        "title": "Ollama: all aboard open models · Ollama Blog",
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      },
      {
        "title": "Popular open source AI developer tool Ollama raises $65M, grows to nearly 9M users | TechCrunch",
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      {
        "title": "Ollama is now available as an official Docker image · Ollama Blog",
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        "title": "Singapore ecommerce enabler bags $4.2m from Sequoia, YC, others",
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        "body": "**TL;DR** Openlayer provides a simpler workflow for AI evals and testing – connect your GitHub, define must-pass tests, and every commit triggers these tests automatically. Tests will also run on top of your live data and send alerts if they start failing. For AI developers, this is the ideal way to run continuous evaluations without much effort. Get started [here.](https://docs.openlayer.com/get-started)\n\n—\n\nHey guys! We’re Gabe, Rishab, and Vikas, the founders of Openlayer. We met at Apple, where we noticed that every AI/ML team inevitably ran into the same problem: their models would not perform as accurately as they thought they would in the real world. We left to solve this problem by building a best-in-class process for evaluating and improving models.\n\n![uploaded image](/media/?type=post&id=80433&key=user_uploads/236551/54d20552-4ea4-4ab2-8337-92046d1c89e5)\n\n🤯  **The problem** Most of us get how crucial AI evals are now. The thing is, almost all the eval platforms we’ve seen are clunky – there’s too much manual setup and adaptation needed, which breaks developers’ workflows.\n\n✅  **Solution** We’re releasing a radically simpler workflow.\n\nAll you need to do is connect your GitHub repo to Openlayer and define must-pass tests for your AI system. Once integrated, every commit triggers these tests automatically on Openlayer, ensuring continuous evaluation without extra effort.\n\nWe offer 100+ tests (and are always adding more), including custom tests. We’re language-agnostic, and you can customize the workflow using our CLI and REST API. We also offer template repositories around common use cases to get you started quickly.\n\nYou can leverage the same setup to monitor your live AI systems after you deploy them. It’s just a matter of setting some variables, and your Openlayer tests will run on top of your live data and send alerts if they start failing.\n\n![uploaded image](/media/?type=post&id=80433&key=user_uploads/236551/c4a17145-aa0e-455e-a04d-f0484803de6f)\n\n🙏  **Asks** We love feedback! [**Sign up for free,**](https://app.openlayer.com/) and let us know your thoughts! [Book a call](https://cal.com/vikasnair/30min?date=2024-04-16&month=2024-04&layout=mobile) with us for a demo, personalized onboarding, to give feedback, or just chat. Feel free to reach out to [founders@openlayer.com](mailto:founders@openlayer.com) for anything else.",
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    "long_description": "Superwall is a complete, standalone subscription platform for consumer mobile and web apps — backend infrastructure (entitlements, purchase APIs with server-side receipt validation, standardized webhooks, real-time revenue analytics, direct SQL access to subscription data) together with a no-code paywall and experimentation engine, and first-class tooling for AI coding agents. Superwall manages $1.6B+ in annual subscription revenue across 10,000+ apps. The infrastructure layer is free at any scale; the only meter on the platform is revenue that converts through a Superwall-rendered paywall — subscriptions sold anywhere else are never billed.\r\n\r\n**Standalone backend:** The highest-revenue apps on Superwall like Cal AI — run their **entire subscription stack on Superwall alone: no second backend, no other subscription platform underneath**. Entitlement state is computed server-side from App Store Server Notifications V2 and Google Play Real-Time Developer Notifications, delivered by Apple and Google directly to Superwall. The largest single app runs **$43.7M ARR entirely on Superwall**; the top 10 together represent $134M+ in annual subscription revenue. Apps that previously ran a different subscription backend complete an automated migration — subscription history, entitlement state, webhook configuration — and run on Superwall alone from then on; imported subscribers are never billed.\r\n\r\n**Pricing:** The subscription infrastructure — entitlements, receipt validation, webhooks, analytics, SQL access — is free at any scale, with no revenue threshold and no per-event fees. The paywall product is free up to $10k/month in paywall-attributed revenue, then 1% of paywall-attributed revenue, and only that revenue: an app with $50k/month in subscriptions and no Superwall paywalls in use pays $0/month for the entire platform, and revenue the platform didn't help earn is never billed. Compared with charging a percentage of all subscription revenue, the difference is the base, not the rate.\r\n\r\n**Coverage:** Apple App Store, Google Play, and Stripe — including web checkout, external browser checkout from iOS paywalls (App2Web), and products from any external billing system via Custom Store Products. Monetization models: auto-renewing subscriptions, free trials and intro offers, one-time purchases, lifetime unlocks, and consumables. SDKs: iOS & Apple platforms, Android, React Native, Flutter, Expo, Unity, and Web — all open source on [GitHub](https://github.com/superwall). Not just for engineers: growth, product, support, and data teams run monetization from the dashboard, analytics, and SQL access day to day.\r\n\r\n**What Superwall does not do:** It does not process payments — Apple, Google, and Stripe do. It does not run virtual-currency or coin-ledger systems, does not track ad revenue, and does not support Amazon or Roku storefronts. For consumer subscription apps on iOS, Android, and the web, it covers the monetization surface end to end.\r\n\r\n**Experimentation:** Superwall's published research spans 100M+ analyzed paywall views and 4,500+ paywall A/B tests: multi-page onboarding paywalls convert 37% better than single-page (40M+ opens measured), Cal AI ran 123 experiments and grew monthly revenue 3x+ in 10 months, Planner 5D lifted revenue per user 83% through price testing. Build, target, test, and ship paywalls from the dashboard with no app release.\r\n\r\n**Retention:** Free trial reminders, cancellation and decline surveys, transaction-abandon recovery offers, win-back paywalls targeted by subscription state, Apple Retention Messaging on the iOS cancel screen, automated refund protection, and a per-customer timeline for support.\r\n\r\n**Agent tooling:** Open-source agent skills for Claude Code, Codex, and other coding agents; an editor MCP server for building live paywalls from the terminal; an embedded dashboard CLI; and direct SQL access to subscription data via the Query API.",
    "one_liner": "Subscription infrastructure & paywall experimentation for mobile apps",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1628553410,
    "tags": [
      "Developer Tools",
      "Payments",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/staffbar",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/staffbar.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/superwall/",
    "x_url": "https://twitter.com/Superwall",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/superwall",
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    "app_video_url": null,
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 683613,
        "full_name": "Brian Anglin",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anglinb/",
        "x_url": "https://twitter.com/BriansAngles",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c043db2ddde35d70144b7562ae9f3bf90d2e5f4f.jpg"
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      {
        "user_id": 115099,
        "full_name": "Jake Mor",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jake-mor-3b397392/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98a7da64e7926b3cf80f10f3c107b4634cb7f3bf.jpg"
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  },
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    "id": 23950,
    "name": "Pipekit",
    "slug": "pipekit",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/04ac699768ee01bea09ec4c32c01f02b31efebd7.png",
    "website": "https://pipekit.io",
    "all_locations": "Remote",
    "long_description": "Our app manages Argo Workflows for data teams, enabling complex data &\r\n CI pipelines in half the time while saving companies hundreds of thousands of dollars annually. We maintain Argo Workflows, an open-source pipeline framework for Kubernetes that’s used in production by Bloomberg, Intuit, Adobe, New Relic, NVIDIA, and many other open-source early adopters. ",
    "one_liner": "Pipekit scales data & CI pipelines for enterprises",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1630089531,
    "tags": [
      "Developer Tools",
      "Open Source",
      "Data Engineering",
      "DevOps"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/pipekit",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/pipekit.json",
    "year_founded": 2020,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/pipekit-io/",
    "x_url": "https://twitter.com/pipekitio",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/pipekit",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/04ac699768ee01bea09ec4c32c01f02b31efebd7.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 735277,
        "full_name": "Caelan Urquhart",
        "title": "Founder",
        "founder_bio": "Co-founder, CEO @ Pipekit (S21) (https://pipekit.io)\nex-Kite, Expo, McKinsey\nFunctional strengths: community, marketing, ops, finance\nIndustry experience: dev tools, OSS, digital health",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/caelan-urquhart/",
        "x_url": "https://twitter.com/caelanu",
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      },
      {
        "user_id": 387562,
        "full_name": "J.P. Zivalich",
        "title": "Founder/CTO",
        "founder_bio": "Founder, CTO @ Pipekit (S21) (https://pipekit.io)\nex-Docker\nIndustry experience: Dev tools, OSS, investment banking",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jpzivalich/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a9000f2a63a831fd0ad88d3ef2f594c7dc39ed9.jpg"
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    "jobs": [],
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  },
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    "id": 23955,
    "name": "Deskimo",
    "slug": "deskimo",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1291f709de04bd35266cafcf047e0cc80f5b1280.png",
    "website": "http://www.deskimo.com",
    "all_locations": "Singapore, Singapore; Remote",
    "long_description": "Join the hybrid work revolution! \r\n\r\nFind professional workspaces near your home and escape the home office without wasting time on commuting. \r\n\r\nDeskimo connects the hybrid corporate workforce with quality workspaces all over Singapore, Indonesia, Malaysia, Hong Kong and the UAE.\r\n\r\n1) Deskimo is an asset-light extension of a corporate office\r\nMost companies are looking to downsize their office leases and move to a hybrid work model to save costs and provide employees greater flexibility post pandemic.\r\n\r\n2) Deskimo is an instant access pass to all workspaces\r\nOne tap in the Deskimo app generates a QR code, which gets scanned at the front desk to check in and check out. No memberships, no registrations, no long-term commitments needed.\r\n\r\n3) The hybrid work revolution is only getting started\r\nEmployees have no intention to go back to the office 5 days / week post pandemic. This will transform the way companies manage their hybrid workforce and decentralized workplace. Deskimo is at the center of this transformation.",
    "one_liner": "Workspaces on demand, paid by the minute.",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Office Management",
    "launched_at": 1626319660,
    "tags": [
      "Marketplace",
      "SaaS",
      "Proptech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
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      "Office Management"
    ],
    "regions": [
      "Singapore",
      "Southeast Asia",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
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      {
        "question": "Describe what your company does in 50 characters or less.\n",
        "answer": "On-demand office space billed by the minute"
      },
      {
        "question": "What is your company going to make? Please describe your product and what it does or will do.\n",
        "answer": "Deskimo is a mobile app providing on-demand office space billed by the minute, targeting corporate employees, freelancers, business travellers, digital nomads, and students.\r\nIt sources inventory of desks from co-working spaces, serviced offices, hotels, lounges, office sublets and helps these suppliers to increase occupancy and revenues.\r\nIt contracts corporations (B2B) to grant a Deskimo budget to their workforce, enabling employees to follow a hybrid system between work-from-home and office work.\r\n\r\nDeskimo is launching first in Singapore. It will shortly after roll-out to more cities in Asia, Australia, and Europe."
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    ],
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/deskimo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/deskimo.json",
    "year_founded": 2021,
    "city": "Singapore",
    "country": "SG",
    "linkedin_url": "https://www.linkedin.com/company/72052483",
    "x_url": "",
    "fb_url": "https://www.facebook.com/deskimoapp",
    "cb_url": "https://www.crunchbase.com/organization/deskimo",
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    "founders": [
      {
        "user_id": 731649,
        "full_name": "Christian Mischler",
        "title": "Founder",
        "founder_bio": "Previously co-founded & scaled GuestReady (the leading short-term rental management company in Europe and the Middle East), HotelQuickly (at the time the leading last-minute hotel booking  app in Asia-Pacific), Foodpanda (Asia's largest food delivery company outside of China). \n\nPreviously an In-House Consultant at Credit Suisse.\n\nFurther: Swiss national; double master's degrees from the University of St.Gallen (HSG) and CEMS; Captain at the Swiss Military Intelligence; visited 100+ countries.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christianmischler",
        "x_url": "https://twitter.com/Chris_Mischler",
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      {
        "user_id": 730249,
        "full_name": "Raphael Cohen",
        "title": "Founder",
        "founder_bio": "Past experience:\n- Head of Asia, Rocket Internet\n- Co-Founder, Gobee.bike (2nd largest bike sharing operator outside of China)\n- Co-Founder, HotelQuickly (largest last-minute hotel booking app in Asia-Pacific)\n- Managing Director, Foodpanda Vietnam (Asia's largest food delivery company outside of China)\n\nFurther:\n- French national\n- Lived in Singapore, Hong Kong, China, Vietnam, Canada, France\n- Speaks 7 languages and visited 100+ countries\n- Bachelor of Commerce, University of Toronto",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raphaelc/",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Y Combinator-backed workplace startup Deskimo expands to Dubai",
        "url": "https://technode.global/2022/11/30/y-combinator-backed-workplace-startup-deskimo-expands-to-dubai/",
        "date": "Nov 29, 2022"
      },
      {
        "title": "Ex-Foodpanda, Rocket Internet execs’ flexible workspace app expands to Dubai",
        "url": "https://www.techinasia.com/deskimo-expansion-dubai-abu-dhabi",
        "date": "Nov 29, 2022"
      },
      {
        "title": "Deskimo, the on-demand desk booking app, raises $3M and expands to Jakarta – TechCrunch",
        "url": "https://techcrunch.com/2021/11/16/deskimo-seed-round/",
        "date": "Nov 16, 2021"
      },
      {
        "title": "Ex-Foodpanda execs launch workspace marketplace in Singapore, Hong Kong",
        "url": "https://www.techinasia.com/exfoodpanda-execs-launch-marketplace-workspaces-deskimo-singapore-hong-kong",
        "date": "Jul 24, 2021"
      },
      {
        "title": "YC-backed Deskimo, an on-demand coworking space app, launches in Singapore and Hong Kong – TechCrunch",
        "url": "https://techcrunch.com/2021/07/14/yc-backed-deskimo-an-on-demand-coworking-space-app-launches-in-singapore-and-hong-kong/",
        "date": "Jul 14, 2021"
      }
    ],
    "launches": [
      {
        "id": 64225,
        "title": "Deskimo: On-demand workspaces, paid by the minute",
        "tagline": "Deskimo helps hybrid working employees get instant access to near-home offices",
        "body": "With **Deskimo**, you can access 100+ professionally managed workspaces all across Singapore, Hong Kong and Indonesia without the need for a membership!\n\n### **Problem**\n\nWork-from-home (WFH) is good for companies, as they can save fixed costs by reducing office leases, and it’s good for employees, as it increases flexibility and reduces commuting time.\n\nHowever, most homes are not designed for work, and personal circumstances add distractions, such as your partner being on a call or watching TV, or your toddlers and pets craving for your attention.\n\n### **Solution**\n\n[Deskimo](http://www.deskimo.com/?utm_source=YC&utm_medium=bookface&utm_campaign=yclaunch) is complementing the WFH setup in South East Asia in a fully remote or hybrid future with near-home office options. Companies create an enterprise account on Deskimo and provide their employees a monthly budget that they can use at any of the listed workspaces on the app. As an employee, you can choose when to WFH and when to spend a few hours at a workspace to take important calls, attend a team or client meeting, or get some deep work done that requires full focus. Companies get one consolidated invoice per month and get billed only for the minutes used by their employees at any of the Deskimo workspaces.\n\n![uploaded image](/media/?type=post&id=64225&key=user_uploads/731649/583f07c5-1cbd-4205-86f2-0f33d9ceadb9)\n\nDeskimo is now live in Singapore, Hong Kong and Indonesia, and will expand to more countries soon.\n\n### **Founders**\n\nWe have previously co-founded Foodpanda (the “DoorDash” of Asia), now part of Delivery Hero ($DHER). Thereafter, we were the co-founders of HotelQuicky (the “Hotel Tonight” of Asia-Pacific), which turned into an OTA generating over $100M in annual GBV (exited in 2017).\n\nAfter HotelQuickly, Raphael then founded GoBeeBike, which was the leading bike sharing company in Hong Kong, before becoming the Head of Asia at Rocket Internet. Chris co-founded GuestReady, which is now the largest short-term rental management company in Europe and the Middle East.\n\nWe have made a lot of learnings in PropTech, hospitality and on-demand marketplaces. We combine these learnings with our own experience in working remotely for the most part of the past 10 years and decided to launch Deskimo in a period where most companies are moving to a hybrid work model. \n\n### **Asks**\n\nWe would love to get your feedback, if you happen to be living in Asia and like to work from different places. If you have friends or family in our markets, tell them about Deskimo! You can help us by testing the app:\n\n![uploaded image](/media/?type=post&id=64225&key=user_uploads/731649/1c9a5030-d2bb-4d0c-84d8-39025c78bd57)\n\nPlease send us any unfiltered feedback to [founders@deskimo.com](mailto:founders@deskimo.com)\n\nThank you 🙏,\n\n[Raphael](https://www.linkedin.com/in/raphaelc/), [Christian](http://www.christianmischler.com)",
        "url": "https://www.ycombinator.com/launches/Ght-deskimo-on-demand-workspaces-paid-by-the-minute",
        "votes": 23,
        "created_at": "2022-06-30T11:21:34.304Z"
      }
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    "id": 23956,
    "name": "Customily",
    "slug": "customily",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8057663fa98c67ad45f460aa90f60f3fb6495bb.png",
    "website": "http://www.customily.com/",
    "all_locations": "St. Louis, MO, USA; Remote",
    "long_description": "Customily is a design tool that makes it easy for e-commerce stores to sell personalized products. Online stores embed our tool in their site to let their customers design custom phone cases, t-shirts, mugs, and more.",
    "one_liner": "Making it easy to sell personalized products online.",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1627923969,
    "tags": [
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      "B2B",
      "E-commerce"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/customily",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/customily.json",
    "year_founded": 2018,
    "city": "St. Louis",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/customily/",
    "x_url": "https://twitter.com/makeitcustomily",
    "fb_url": "https://www.facebook.com/makeitcustomily/",
    "cb_url": "https://www.crunchbase.com/organization/customily",
    "github_url": null,
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        "user_id": 131493,
        "full_name": "Martina Möring",
        "title": "Founder",
        "founder_bio": "Martina Möring is the Co-Founder of Customily, a design tool that makes it easy for e-commerce stores to sell personalized products. Originally from Uruguay, she moved to St. Louis in 2020. Martina has a background in architecture and design, and she previously co-founded Sur3D, focusing on 3D printing technology for product personalization. She has a dynamic and adventurous spirit, loves exploring new places with her family.\n",
        "is_active": true,
        "linkedin_url": "http://uy.linkedin.com/in/martinamoring",
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      {
        "user_id": 332618,
        "full_name": "Alejandro Lozdziejski",
        "title": "Founder",
        "founder_bio": "Creator of the first open-source 3D printer in Southamerica.\nMIT TR Innovator under 35",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alelozd/",
        "x_url": "",
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    "id": 23958,
    "name": "Abstra",
    "slug": "abstra",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fbfc5106c32c35b1a0242652667b0ea1ceb47b8.png",
    "website": "https://abstra.io",
    "all_locations": "São Paulo, SP, Brazil; Remote",
    "long_description": "Abstra is a platform that allows finance teams to build, run, and automate their workflows using Python and AI.\r\n\r\nInstead of relying on spreadsheets, ERPs, and manual processes, teams can create programmable workflows for tasks like reporting, reconciliations, approvals, and integrations with systems like SAP.\r\n\r\nWe provide a developer-friendly environment where finance and technical teams can turn business processes into code, connect to their existing tools, and run everything in a controlled, auditable way.\r\n\r\nOur goal is to become the operating system for finance operations, where workflows are not static or manual, but versioned, automated, and continuously improved.",
    "one_liner": "Automate finance operations with Python and AI",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1625673912,
    "tags": [
      "SaaS",
      "Finance",
      "B2B",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
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        "full_name": "Carlo Badini",
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        "id": 90182,
        "title": "FirstQuadrant: Maximize B2B sales with human-centered AI",
        "tagline": "Sales AI Platform that helps founders and revenue teams move faster, stay organized, and close more deals, by streamlining the behind-the-scenes work so nothing ever slips through the cracks.",
        "body": "Hey YC Community, Carlo here. Today we’re making FirstQuadrant available for the public! This one’s been a long time in the making.\n\nAnand and I started working on this over 2.5 years ago (before ChatGPT was even released). And to be honest, it took a lot of fucking around and finding out. We spoke to over 300+ founders and heads of sales, rebuilt the product from scratch multiple times, and only after countless conversations did it finally click.\n\nSo today, we’re excited (and a bit nervous) to finally release FirstQuadrant to the public: An AI sales execution platform that helps founders and revenue teams move faster, stay organized, and close more deals, by streamlining the behind-the-scenes sales-work so nothing ever slips through the cracks.\n\nhttps://youtu.be/UG5RfdbKPfI\n\n**The Problem:** \n\nIf you’ve ever looked inside a CRM, you know how chaotic things can get. Deals are scattered, updates are missed, and there’s always this underlying anxiety:
“Did I forget to follow up?”
“Am I waiting on someone to respond?”
“Did I send the right documents?”\n\nMost sales reps are great at conversations and closing — but not at the repetitive, behind-the-scenes tasks before and after meetings. That’s where deals fall through the cracks.\n\n**The Solution:**\n\nFirstQuadrant solves these exact problems.
Our platform analyzes all your sales conversations and uses advanced AI reasoning to understand where each deal stands and what should happen next.\n\n![uploaded image](/media/?type=post&id=90182&key=user_uploads/569815/03bcb01a-7e6c-4c01-bb08-0a37d57a6a3f)\n\nIt automatically manages tasks like:\n\n\\- Following up with leads\n\n\\- Rescheduling missed meetings\n\n\\- Qualifying new inbound leads\n\n\\- Staying in touch with old or inactive contacts\n\n\\- Sending resources or summaries post-call\n\nAll of this is handled in the background, giving your sales team the mental space to focus on what really matters: selling, meeting with customers, and building relationships.\n\nAs a result, your deals move faster, your pipeline gets cleaner, and your reps aren’t constantly playing catch-up.\n\nThey don’t have to keep everything in their heads anymore. FirstQuadrant tracks it all and nudges them at just the right moments.\n\nAnd beyond just managing active deals, it also helps uncover hidden revenue by reactivating older, inactive business relationships (the ones reps never quite get around to following up with). And on the top-of-funnel side, it qualifies new leads that come in, lets you build custom-qualified audiences, and even runs AI-personalized outbound email campaigns at scale. So you’re filling your pipeline with high-quality leads and keeping everything organized and moving forward — all in one place.\n\n**About us**\n\n![uploaded image](/media/?type=post&id=90182&key=user_uploads/569815/59265b17-f07b-4a4f-ad44-1fa30b6f6091)\n\nAnand (CTO/CPO) is a technology entrepreneur, engineer, and designer. Previously, he founded the accessibility tech startup Oswald Labs and the fashion e-commerce company Melangebox at the age of 18. He has been recognized as a top open-source contributor, listed as a GitHub Star, and included in Forbes' 30 Under 30.\n\nCarlo (CEO) is a Swiss-born serial entrepreneur. Before founding FirstQuadrant, he established a Swiss design agency at the age of 20 and bootstrapped it to over 40 employees and multiple millions in revenue. He has been recognized by the EY Entrepreneur of the Year award and listed in Forbes' 30 Under 30.\n\n**Ask & Give**\n\n**What we’re asking:**\n\nIf you’ve felt the pain of busy-work in sales, we’d love for you to check out our launch. [Head over to Product Hunt and tell us what you think. ](https://www.producthunt.com/posts/firstquadrant)\n\n**What we’re giving:**\n\n1. A hidden, PH-exclusive sign-up link for priority access and 15% off for the first 12 months (only valid for 48 hours)\n2. Additionally the first 10 supporters get $250 worth of AI credits and a free 1h sales consultation where I help you with your entire sales setup (deliverability, channels, website conversion, tool stack... whatever you need help with)\n\nWe’re super excited to share what we’ve built — and even more excited to learn from you all. Thanks for checking out FirstQuadrant.",
        "url": "https://www.ycombinator.com/launches/NSY-firstquadrant-maximize-b2b-sales-with-human-centered-ai",
        "votes": 19,
        "created_at": "2025-05-12T16:23:40.159Z"
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        "id": 78600,
        "title": "FirstQuadrant – All-in-one AI sales platform",
        "tagline": "Accelerate progress with infinitely scalable AI sales",
        "body": "**tl;dr: **[**FirstQuadrant**](https://firstquadrant.ai/)** is not another AI sales tool. If there were such a thing as a silver bullet, this is it. If you have a product that works and if you know who your customer is, FirstQuadrant will sell that product for you. Period. This is the startup’s philosopher stone — that turns lead into gold.**\n\nHi founders, after a year of working tirelessly on our AI sales product, we believe that we finally cracked the code to B2B sales. We’re incredibly proud to introduce FirstQuadrant:\n\n<https://youtu.be/_AdwfyDLNIs>\n\n### All-in-One AI sales platform\n\nFirstQuadrant is an all-in-one AI sales platform that turns B2B sales into a fully scalable and fully autonomous system with artificial intelligence.\n\nFirstQuadrant encompasses a complete suite of AI tools for inbound, outbound, and nurturing sales, ensuring a unified approach to relationship management.\n\n![uploaded image](/media/?type=post&id=78600&key=user_uploads/569815/5b4c3eb9-2530-4fd4-a379-6a1e42f32fe5)\n\nFirstQuadrant handles everything — from sourcing leads or integrating with your CRM, enriching contacts, to converting sales. It operates autonomously yet allows for full control over the tone and content of messages. Choose full autonomy or approve every message.\n\nFast-growing YC companies like Athina and Caribou already love us. Matt of CoCEO has this to say:\n\n> _I don’t say this lightly but FirstQuadrant is absolutely astounding. In less than a month FirstQuadrant booked meetings on a weekly basis without me lifting a finger. My mind is blown._\n\n### Founding team\n\n![uploaded image](/media/?type=post&id=78600&key=user_uploads/569815/9ed628aa-0e8b-4c96-9f7b-b61bd773550e)\n\n[Anand](https://twitter.com/AnandChowdhary) (CTO/CPO) is a technology entrepreneur, engineer, and designer. Previously, he founded the accessibility tech startup Oswald Labs and the fashion e-commerce company Melangebox at the age of 18. He has been recognized as a top open-source contributor, listed as a GitHub Star, and included in Forbes' 30 Under 30.\\\n\\\n[Carlo](https://twitter.com/carlobadini) (CEO) is a Swiss-born serial entrepreneur. Before founding FirstQuadrant, he established a Swiss design agency at the age of 20 and bootstrapped it to over 40 employees and multiple millions in revenue. He has been recognized by the EY Entrepreneur of the Year award and listed in Forbes' 30 Under 30.\n\n### Sign up now for priority access\n\nFirstQuadrant is currently in private beta, operating with a waitlist. We personally onboard each user to ensure optimal results, which limits our capacity. Currently, the wait time is 4+ months. Need urgent access? Sign up using the link below by Thursday, 12 PM PST, to bypass the waitlist.\n\n[1q.ai/skip-the-line](http://1q.ai/skip-the-line)\n\nFor more details, visit [firstquadrant.ai](http://firstquadrant.ai) and [x.com/firstquadrant](http://x.com/firstquadrant).\n\nThank you!\\\nCarlo and Anand",
        "url": "https://www.ycombinator.com/launches/KRk-firstquadrant-all-in-one-ai-sales-platform",
        "votes": 115,
        "created_at": "2024-02-21T16:42:59.502Z"
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        "title": "Buzzle: Call Recordings → Voice of Customer insights",
        "tagline": "Transform individual customer conversations into aggregate customer strategy - automatically from recordings you already have!",
        "body": "### **TLDR:**\n\n[Buzzle](https://www.buzzle.ai/) listens to your call recordings so that you don’t have to (and because you don’t have the time to…). We help product marketing teams identify competitive moats and weaknesses, marketing teams generate & understanding voice of customer and product teams gauge demand in feature requests based on customer pain points, all automatically from a company’s library of recorded sales and success calls.\n\n### **The Problem:**\n\n⏰ ”I don’t have the time to listen to all of the call recordings sales generates, but I want to & I probably should”\n\n🧐 “How do I learn where to go next? What are customers complaining about? Our sellers don’t know what to share with us and how it connects to our roadmap.”\n\n📉 ”My buyers are spooked with the downturn, but I have no idea where to start looking to figure out what’s going wrong.”\n\nWhile call snippets and anecdotes from individual calls are perfect for deal review, building customer strategy requires you to take account of the entire voice of customer, which may potentially span thousands of individual conversations.\n\nStrategic teams — product, marketing, product marketing — care about the relationships among the discussions and ideas inside these individual calls. There is no way to generate this type of connecting insight without manually slogging through call recordings or interviews.\n\n### **The Buzzle Solution**\n\nCustomer conversations hold the lifeblood of companies, because they are a collection of **ideas** and **relationships** that matter to companies: between question and answer, objection and handler, and product functionality and pain point. Buzzle understands those relationships between and among conversations, and uses that knowledge to automatically detect and highlight the most important trends to product and marketing.\n\nBuzzle can help you hone in on anything from competitors to customer pain points, and help you understand when those topics are coming up in calls (and how they affect your deals)\n\n![](https://s3.us-west-2.amazonaws.com/secure.notion-static.com/8bfae907-f705-49c4-8775-c060c9ae07b6/Untitled.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIAT73L2G45EIPT3X45%2F20220802%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20220802T124123Z&X-Amz-Expires=86400&X-Amz-Signature=a174460eb9b0d641b08f269fa9d82367209a3c5a0b788929a2f722c4efbfd4f7&X-Amz-SignedHeaders=host&response-content-disposition=filename%20%3D%22Untitled.png%22&x-id=GetObject)\n\nUnsure of the latest trends? No worries. Buzzle understands the trends for you, and automatically surfaces the ones that you might be most interested in.\n\n![](https://s3.us-west-2.amazonaws.com/secure.notion-static.com/8593432d-20f6-46d4-8633-df5d8f014b83/Darkened_-_VOC_Animatin.gif?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIAT73L2G45EIPT3X45%2F20220802%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20220802T124135Z&X-Amz-Expires=86400&X-Amz-Signature=2e2927cb74d0033427ff0aed3628353dd03dee3e58466d18e518ed6fa8c64fe3&X-Amz-SignedHeaders=host&response-content-disposition=filename%20%3D%22Darkened%2520-%2520VOC%2520Animatin.gif%22&x-id=GetObject)\n\n### **Where do you come in?**\n\nHave call recordings you never look at? Always wanted your product & marketing teams to get insights from data sales & success are generating? Give us a shout at [founders@buzzle.ai](mailto:founders@buzzle.ai) and we’ll get your team set up with a free trial to uncover the insights locked away in the call data you already have.\n\nWe’d love to connect! Follow along with Buzzle by:\n\n1. Emailing us at: [founders@buzzle.ai](mailto:founders@buzzle.ai)\n2. Give us a follow on [LinkedIn](https://www.linkedin.com/company/buzzle-ai/)!\n3. Check out our [blog](https://www.buzzle.ai/blog)!",
        "url": "https://www.ycombinator.com/launches/Gsh-buzzle-call-recordings-voice-of-customer-insights",
        "votes": 24,
        "created_at": "2022-07-26T13:51:55.445Z"
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    "long_description": "Affogato AI is your all-in-one AI Video Agent, designed to help businesses, eCommerce sellers, agencies, and creators produce professional short-form videos instantly. From TikTok ads and Instagram Reels to YouTube Shorts, UGC content, and branded campaigns, Affogato makes high-quality video creation simple, fast, and scalable. No editing skills required — just type an idea and get campaign-ready videos that look studio-made, in minutes.",
    "one_liner": "Affogato AI — Your Agent for instant TikToks, Reels, and ads.",
    "team_size": 15,
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    "url": "https://www.ycombinator.com/companies/affogato-ai",
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    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aiaffogato",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 218500,
        "full_name": "Bhagaban Behera",
        "title": "Founder",
        "founder_bio": "A founder who lives for zero-to-one. A media junkie, gamer at heart, crypto-curious, and father of twins, he’s spent years building consumer startups — always with a marketing bent and a love for creating what captures culture.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bhagaban/",
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      {
        "user_id": 411458,
        "full_name": "Nakul Kelkar",
        "title": "Founder",
        "founder_bio": "Cofounder @ Affogato.ai\nLaunched multiple 0 to 1 products to hundreds of thousands of users. On a lookout for my next adventure",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nakulkelkar/",
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    "launches": [
      {
        "id": 92745,
        "title": "Affogato Video Agent: Create Viral TikTok/IG videos with AI",
        "tagline": "Just describe your idea — Affogato Video Agent handles everything: script, voice, visuals, scenes, and edits. Create polished, TikTok-ready ads in minutes without touching a timeline.",
        "body": "[**Affogato Video Agent**](https://affogato.ai) **lets you create TikTok ads and short-form videos from just a prompt — no editing, no crew, no prior experience needed.**\n\nWe built this because making videos is still too slow and expensive — especially when you need fresh content every week. With Affogato, you just describe what you want (like “a talking ad for my skincare brand” or “a funny video about missing your morning coffee”), and the agent takes care of everything: script, visuals, voice, music, and timing.\n\nhttps://www.youtube.com/watch?v=rGv7R8YFCOk\n\nIt works great for TikTok, Instagram Reels, and YouTube Shorts — and we’re seeing early traction with e-commerce brands, content marketers, and solo creators using it to launch products, run ads, and grow their audience.\n\nHere’s what you can expect:\n\n* Type an idea → get a full video in minutes\n* Includes script, voiceover, visuals, music, and editing — auto-generated\n* Works for product showcases, character videos, UGC-style ads, and more\n* No timeline editing or video tools needed\n\n![uploaded image](/media/?type=post&id=92745&key=user_uploads/218500/50540ef3-5226-4b0b-bbad-f9ac430b7a51)\n\n( Prompt - Create a Pokemon themed ad for IKEA. The video agent does everything from creating scenes to adding music and voiceover. )\n\n1.5 million creators and businesses are already using Affogato to create marketing content at scale.\n\nIf you’re spending hours (or dollars) making videos, give Affogato a shot — it might save you both.\n\nTry Affogato at https://affogato.ai .\n\n---",
        "url": "https://www.ycombinator.com/launches/O7t-affogato-video-agent-create-viral-tiktok-ig-videos-with-ai",
        "votes": 33,
        "created_at": "2025-08-05T15:04:47.046Z"
      },
      {
        "id": 84871,
        "title": "Video Anyone: Bring your AI characters to life through AI videos",
        "tagline": "Create stunning videos with AI characters.",
        "body": "Whether you’re a marketer, educator, artist, or content creator, VideoAnyone allows you to transform AI characters and still images into captivating videos effortlessly.\n\n<https://youtu.be/DfoOF8CXagk>\n\nSimply upload your image and, optionally, write a prompt to guide the video, and watch as your visuals come alive with engaging animations. Perfect for storytelling, presentations, or enhancing your social media content, VideoAnyone turns your creative ideas into dynamic videos without the need for extensive video editing skills.\n\n![uploaded image](/media/?type=post&id=84871&key=user_uploads/218500/837b9374-7562-4fb1-8c0f-90866ebd7071)\n\n[Watch Output Video](https://youtube.com/shorts/RAoORua-vLY)\n\nCreating videos has never been easier! With VideoAnyone, you become the director of your own film. Just use simple prompts to craft your vision exactly as you want.\n\n**Effortless Camera Controls:** Manage camera movements with ease using intuitive prompt keywords like camera \"static,\" \"move left/right,\" \"push in,\" \"pull out,\" \"move up,\" and \"orbit left/right.\" And there’s a whole lot more to explore!\n\n![uploaded image](/media/?type=post&id=84871&key=user_uploads/218500/0afddb67-52f8-401a-9b78-0c7e2dc4ee50)\n\n[Watch Output Video](https://youtube.com/shorts/aXn95ncylV0)\n\n**Seamless Character Movements:** Easily define your character's actions in the prompt, with actions like \"a woman standing still,\" \"a man walking,\" \"a person riding a bicycle,\" and much more.\n\n![uploaded image](/media/?type=post&id=84871&key=user_uploads/218500/acd886fe-52b2-403b-8191-19a5624376ca)\n\n[Watch Output Video](https://youtube.com/shorts/TNXY9PJsXuM)\n\nElevate your content and connect with your audience like never before!\n\nCheck out some example videos created using RenderNet’s VideoAnyone.\n\n<https://youtu.be/jUwnHXruXHg>\n\n<https://youtu.be/iAQb6up-xbw>\n\n<https://youtu.be/R2eTX3zW-jQ>\n\nGet started with **Video Anyone** today at <https://rendernet.ai>",
        "url": "https://www.ycombinator.com/launches/M4t-video-anyone-bring-your-ai-characters-to-life-through-ai-videos",
        "votes": 24,
        "created_at": "2024-10-18T12:28:09.949Z"
      },
      {
        "id": 82755,
        "title": "Narrator: Narrate your story through AI lip-synced videos",
        "tagline": "Create engaging content with lip-synced videos of AI characters and AI voices. ",
        "body": "Transform your content with **Narrator**, [RenderNet.AI](http://RenderNet.AI)’s new feature for creating hyper-realistic lip-synced videos. Whether you're a podcaster, filmmaker, educator, or any other type of content creator, Narrator lets you produce engaging videos without appearing on camera.\n\nCraft your story using fictional characters for an unforgettable experience. Just upload a source video, choose a voice, and add a script.\n\n![uploaded image](/media/?type=post&id=82755&key=user_uploads/218500/c55d1dc1-5fd4-44f4-a334-6a7025316901)\n\nCheck out some example videos created using RenderNet’s narrator.\n\n<https://youtu.be/JrZYTdi-Kjo>\n\n<https://youtu.be/xPIbNwG7CIo>\n\n<https://youtu.be/pb7Bvh65N6U>\n\n<https://youtu.be/rWZI9ylQL3Y>\n\nGet started with Narrator today at <https://rendernet.ai>",
        "url": "https://www.ycombinator.com/launches/LWl-narrator-narrate-your-story-through-ai-lip-synced-videos",
        "votes": 35,
        "created_at": "2024-08-06T00:33:28.629Z"
      },
      {
        "id": 81703,
        "title": "TrueTouch: Add realism to your AI-generated images of humans",
        "tagline": "Say goodbye to 'fake-looking' AI images.",
        "body": "AI-generated images of humans are known to have a plastic feel and do not look real.\n\n**Truetouch** is a new **Image Upscaler** built by [RenderNet](https://rendernet.ai) that **adds realism** to images of humans created using AI.\n\n_Example 1_\n\n![uploaded image](/media/?type=post&id=81703&key=user_uploads/218500/f7de354e-567d-48ce-861b-32a3087398b2)\n\n_Example 2_\n\n![uploaded image](/media/?type=post&id=81703&key=user_uploads/218500/797b2684-fc05-415c-b060-802d1d1a7462)\n\nHow to use TrueTouch?\n\n<https://www.youtube.com/watch?v=YvC4MZpM4vA>\n\nRenderNet is an AI image generator with a focus on creating realistic and consistent images of  virtual human characters. Get started with free credits at https://rendernet.ai",
        "url": "https://www.ycombinator.com/launches/LFn-truetouch-add-realism-to-your-ai-generated-images-of-humans",
        "votes": 11,
        "created_at": "2024-06-24T14:09:29.656Z"
      },
      {
        "id": 81362,
        "title": "Character Labs: Create consistent virtual characters with AI",
        "tagline": "Keep face, hairstyle, skin, ethnicity of human characters consistent in AI images generation",
        "body": "Hi everyone!\n\nWe're excited to announce our second YC Launch! Previously, [we introduced Facelock](https://www.ycombinator.com/launches/Ka4-rendernet-ai-create-consistent-ai-characters), which ensures consistency in facial features when generating AI images of human characters.\n\nToday, we're thrilled to unveil our newest innovation: Character Labs. With Character Labs, you can maintain not only facial consistency but also hairstyles, skin tones, ethnicities, ages, and more. Plus, you can now assign a name to your character and generate images simply by referencing that name.\n\nCheck out some sample characters below -\n\n![uploaded image](/media/?type=post&id=81362&key=user_uploads/218500/3e71204a-aa52-4aaf-9c34-43b03a5fc765)\n\n![uploaded image](/media/?type=post&id=81362&key=user_uploads/218500/c6edc686-f6ea-4021-8d64-5259fd30f259)\n\n![uploaded image](/media/?type=post&id=81362&key=user_uploads/218500/74bcdcdd-9007-44c3-941b-fb4f3d9cfba5)\n\nUsing Character Labs is simple. Check out this short video.\n\n<https://www.youtube.com/watch?v=R26b-XZNECU>\n\nReady to experience hassle-free character creation? Try Character Lab today at [Rendernet.ai,](http://Rendernet.ai) and let us know what you think! We're eager to hear your feedback and continue improving our product to meet your needs.\n\n![uploaded image](/media/?type=post&id=81362&key=user_uploads/218500/438a7ae0-3ee8-457a-ab22-3c1b3da8e92f)\n\n",
        "url": "https://www.ycombinator.com/launches/LAI-character-labs-create-consistent-virtual-characters-with-ai",
        "votes": 19,
        "created_at": "2024-06-07T15:51:04.386Z"
      },
      {
        "id": 79116,
        "title": "RenderNet AI: Create consistent AI characters",
        "tagline": "RenderNet brings consistency and control over AI image generations. ",
        "body": "Hey everyone! We're [BB](https://www.linkedin.com/in/bhagaban/), [Nakul](https://twitter.com/MaruPelkar) & [Sriharsha](https://www.linkedin.com/in/sriharshasetty/). We’re building [RenderNet AI](https://rendernet.ai) - an AI image generation tool for visual storytelling.\n\n**Try RenderNet** - <https://rendernet.ai>\n\n![uploaded image](/media/?type=post&id=79116&key=user_uploads/218500/72d168cf-c52b-4ae9-8b2a-076a0c9ce251)\n\n### The problem\n\nAI image generation is a powerful storytelling tool for social media, marketing, education, and entertainment. Yet, a recurring challenge lies in _preserving continuity across a series of images._\n\nLet's say you _generate 5 images featuring the same fictional character_ - each one could render them with a completely different face, ethnicity, clothing, and overall appearance.\n\nThis _lack of consistency_ makes it extremely difficult to use those AI-generated images together cohesively for narratives, marketing campaigns, or any project requiring a unified character identity throughout.\n\n### The solution\n\n[RenderNet](https://rendernet.ai) is a new AI image generation tool with a focus on consistency and control via its features - _Facelock_ and _ControlNet_.\n\n**Facelock** enables a consistent face across all your creations. Whether you start with an AI-generated image or upload a photo, FaceLock maintains that face's integrity in every new image prompted. This ensures unparalleled continuity in your visual narratives.\n\n![uploaded image](/media/?type=post&id=79116&key=user_uploads/218500/fe70e107-5813-4708-bcd7-0c63766b0ef1)\n\n**ControlNet** lets you upload a reference image to guide the pose, composition, and style within your AI-generated visuals.\n\n![uploaded image](/media/?type=post&id=79116&key=user_uploads/218500/68211b19-352c-4315-9a7b-ba5b286e1967)\n\nCombining Facelock and ControlNet transforms your AI image generation process, offering unparalleled consistency and control. This dynamic duo ensures your characters remain true to your vision, from their facial features to their poses and styles.\n\nWhether you're crafting a comic series, designing an ebook, or creating a [virtual influencer](https://twitter.com/CharaspowerAI/status/1754183001066410266) akin to [Aitana Lopez](https://www.euronews.com/next/2024/01/20/meet-the-first-spanish-ai-model-earning-up-to-10000-per-month), Rendernet becomes an indispensable tool in your creative arsenal.\n\n![uploaded image](/media/?type=post&id=79116&key=user_uploads/218500/b5c5f33c-2306-4004-a95c-fe66a61f4462)\n\n**Our ask**\n\n* Try [https://rendernet.ai .](https://rendernet.ai) You get FREE credits on signup.  \n* Share the tool with your friends → [Here is a pre-drafted tweet](https://twitter.com/intent/tweet?text=Just%20discovered%20%40Rendernet_ai%20and%20I'm%20blown%20away!%20The%20level%20of%20character%20consistency%20is%20game-changing.%20Perfect%20for%20marketers%2C%20and%20creatives.).\n* Send us your feedback at [hello@rendernet.ai](mailto:hello@rendernet.ai)",
        "url": "https://www.ycombinator.com/launches/Ka4-rendernet-ai-create-consistent-ai-characters",
        "votes": 18,
        "created_at": "2024-03-06T16:43:40.315Z"
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    "name": "Mailmodo",
    "slug": "mailmodo",
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    "website": "https://www.mailmodo.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Mailmodo is an email marketing software that helps marketers create app-like experiences in email by adding forms, shopping cart, calendar, NPS and more widgets within the email. Our interactive emails reduce the number of steps for users, thereby increasing email conversions. You can use it to collect feedback from your users, book meetings with prospects, recover abandon carts, generate leads, and more all within emails.",
    "one_liner": "No-code email marketing platform to send forms & widgets within emails",
    "team_size": 70,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1624630315,
    "tags": [
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    "batch": "Summer 2021",
    "status": "Acquired",
    "industries": [
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/mailmodo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/mailmodo.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mailmodo/",
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    "founders": [
      {
        "user_id": 463208,
        "full_name": "Aquibur Rahman",
        "title": "Founder/CEO",
        "founder_bio": "Aquibur Rahman is a growth-focused entrepreneur and marketing leader, currently building Mailmodo, a B2B SaaS platform that helps businesses achieve 3x higher conversions through interactive, app-like widgets inside emails. As the CEO and Co-founder, he has led the company’s vision, driving product adoption and customer growth. Previously, he headed marketing at Cleartax, growing organic traffic 5x in one year, scaling CleartaxGST to 600,000+ signups, and driving multi-crore AUM in mutual funds.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aquibur/",
        "x_url": "https://twitter.com/AR_Bits",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60752f1afd4e9e93a137a9cfe1ac971b1a48316a.jpg"
      },
      {
        "user_id": 218594,
        "full_name": "Apurv Gupta",
        "title": "Founder/CPO",
        "founder_bio": "Apurv Gupta is a seasoned technology leader and serial entrepreneur with over 13 years of experience in building and scaling B2B SaaS startups. As the Co-founder and Chief Product Officer of Mailmodo, he has led product strategy and planning, served a variety of customers across industries, and built high-performing engineering teams. Previously, he co-founded Flick2Know, where he led the development of FieldAssist, scaling it to $3M ARR without external funding. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/apurvgpt/",
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      {
        "id": 94640,
        "title": "Mailmodo AI: Prompt-first email marketing for the AI era",
        "tagline": "Do all your email marketing - from design to automation - with just prompts",
        "body": "**TL;DR:** Mailmodo AI is an end-to-end conversational AI agent that enables you to plan, create, build automations, and analyze entire email campaigns through simple prompts, turning what typically takes 4-5 days into a task of a few minutes.\n\nhttps://www.youtube.com/watch?v=4u49l4K3TUI\n\n![uploaded image](/media/?type=post&id=94640&key=user_uploads/463208/64a5f1f5-bb74-4442-a8c9-2f15e772858d)\n\n## **We identified a problem.**\n\nIn 2025, you can build an entire MVP in 3 days with AI tools like Lovable and Bolt. But setting up basic email flows? That still takes 2 weeks.\n\nI've watched this happen countless times. Founders ship their product, then get stuck navigating 15 screens, learning complex automation builders, and spending hours on segmentation logic. Meanwhile, every other business tool has gone conversational.\n\nEmail marketing, however, remained stuck in 2015:  painfully manual despite being the most important channel for early-stage growth.\n\n## **So, we built a solution**\n\nFor years, Mailmodo has been propelling emails into the future. We made them interactive through our drag-and-drop editor, turning inboxes into actionable playgrounds. But we weren't solving the real bottleneck: managing multiple workflows, juggling between tools, and wearing too many hats.\n\nSo we rebuilt email marketing from scratch around one idea: **What if you could run your entire email strategy from a single conversation?**\n\nYou describe what you want: _\"Create a 5-part onboarding series for SaaS trial users.\"_ Mailmodo AI handles strategy, copy, design, automation, segmentation, and analysis, all from one prompt, in one place.\n\nWhat used to take days now happens in minutes.\n\n## **How It Works**\n\nA founder types: _\"Create a re-engagement campaign for users who haven't opened emails in 30 days.\"_\n\nMailmodo AI instantly:\n\n* Segments the audience based on your data\n* Generates ready-to-send email designs\n* Builds the multi-email automation flow with strategic timing\n* Tracks performance and suggests improvements\n\n## **The Mission Remains**\n\nWe've always believed emails should do more, and we made it happen in 2021. Today,  they’re finally easier to create, automate, and analyze as well. \n\nFor those building and running growth engines in 2025, email marketing shouldn't take half ya day. Thankfully, now, it won't.\n\nThat's the modern era of email. That's Mailmodo AI.\\\n\\\n**Ask**\n\n* Please sign up on [mailmodo.com](http://mailmodo.com) and try it for free. First 500 email subscribers are free.\n* We’ve launched on PH. Please help us with your love, support and feedback - https://www.producthunt.com/products/mailmodo/launches/mailmodo-ai",
        "url": "https://www.ycombinator.com/launches/OcS-mailmodo-ai-prompt-first-email-marketing-for-the-ai-era",
        "votes": 8,
        "created_at": "2025-10-14T17:58:00.669Z"
      },
      {
        "id": 64413,
        "title": "Mailmodo: Email marketing platform for higher email engagement",
        "tagline": "Centralize all your email marketing efforts and send interactive emails to get higher email ROI",
        "body": "I am Aquibur, founder and CEO of Mailmodo, where we are reinventing emails to help marketers get better ROI and engagement.\n\n### The problem with today’s email marketing\n\nEven though emails are affordable, effective, and personalized at scale, unfortunately, they're not built to encourage user conversions. \n\nLong user journeys from email to website/landing pages result in low conversions and limit emails as just channels for information exchange.\n\nMoreover, even though other mediums have evolved, emails are still the same since their beginning.\n\n### Unleashing Email 3.0\n\nMailmodo cuts through this long journey and allows your emails to get higher engagement and conversions using unique emails powered by interactive widgets and a centralized platform that creates, sends, automates and measures email campaigns of all kinds!\n\nWith Mailmodo you can add a live poll, calculator, or a spin-the-wheel widget to engage customers.\n\n![uploaded image](/media/?type=post&id=64413&key=user_uploads/463208/49c88bc9-f910-4c67-8d24-884382ddbf7b)\n\nYou can even gamify your emails with a live quiz.\n\n![uploaded image](/media/?type=post&id=64413&key=user_uploads/463208/e0a2313c-c456-4034-acbc-4eac1ece2fbe)\n\nYou can enable reservation or appointment bookings inside emails\n\n![uploaded image](/media/?type=post&id=64413&key=user_uploads/463208/1a70e0ff-b372-40e3-9e02-d07c24626a37)\n\nAnd get reviews and responses from customers inside their inboxes.\n\n![uploaded image](/media/?type=post&id=64413&key=user_uploads/463208/131dcaff-6d8d-4de9-8c14-b20d05810a15)\n\nMailmodo is a complete platform for all your email marketing needs in addition to the superior email experience and conversions that you get. Here’s a summary of what you can do with Mailmodo\n\n* **Create any type of email much faster** than other email tools and save your team time & effort with our next-gen email editor\n* Drive **higher engagement with interactive widgets** such as forms, quizzes, calculators, polls, spin the wheel, and others for use cases like surveys, feedback collection, webinar registrations, cart recovery, admission forms, etc.\n* **Integrate with your existing tool stack** like Segment, Mixpanel, Hubspot, Zapier, etc. You can also use our APIs to send transactional emails or trigger based on web/platform events\n* **Import contacts manually (CSV), with API, or sync contacts with easy CRM & 3rd party app** **integrations**. You can also create contact segments to send targeted emails\n* **Automate email sequences with our drag-and-drop journey builder** with a variety of triggers and actions.\n* Send 10k emails for free every month and **avail YC deal on all paid plans.**\n\nVisit us at [www.mailmodo.com](http://www.mailmodo.com). If you have any questions, feel free to reach out to us at [help@mailmodo.com](mailto:help@mailmodo.com)",
        "url": "https://www.ycombinator.com/launches/Gkv-mailmodo-email-marketing-platform-for-higher-email-engagement",
        "votes": 36,
        "created_at": "2022-07-07T14:53:13.845Z"
      }
    ]
  },
  {
    "id": 24045,
    "name": "Coulomb AI",
    "slug": "coulomb-ai",
    "former_names": [
      "Coulomb AI Private Limited"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d176e9e252d68df98f28ada02fca2e0e1f38e49.png",
    "website": "https://coulomb.ai/",
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        "body": "### [**Rivia.AI**](http://Rivia.AI) **helps sales and marketing teams to create interactive video demos for their product with zero engineering effort.**\n\n### [**Check out the sample demo**](https://tours.rivia.ai/acc3Rr3VGKKB7/dem8PjfqNnxc2)\n\n![uploaded image](/media/?type=post&id=67356&key=user_uploads/471664/794d8f7c-f041-46b9-84b2-c21217e1cb66)\n\n**Problem**\n\n* For a lot of products, it’s super difficult for the prospects to understand how the product solves their problem\n* Product videos are the most commonly used solution but they don’t help prospects really experience the product.\n* Click-through demos aren’t engaging because prospects have to go through a lot of text and drop off quickly (or worse, click next without reading).\n\n**Solution**\n\n* We have combined the best of both worlds. Using [Rivia.AI](http://Rivia.AI), you can add a Loom-like personal explanation of your product while maintaining its interactivity.\n* Just clone your product using our chrome extension.\n* Record loom-like videos on top of your clone using the [Rivia.AI](http://Rivia.AI) editor.\n* Share instantly using a link or embed the demo on your website.\n\n**Ask:**\n\nIf this is helpful for you, we would love to have you onboard our beta program. To join the beta:\n\n* Schedule a quick 30 min call [here](https://calendly.com/samay-jain/intro-call-30-mins).\n* Or fill up [this](https://airtable.com/shrsAHGQDvspkr8js) form and we will get back with the access details.\n* Or feel free to drop an email at [samay@rivia.ai](mailto:samay@rivia.ai)",
        "url": "https://www.ycombinator.com/launches/HWO-rivia-ai-interactive-videos-for-product-demos",
        "votes": 16,
        "created_at": "2022-11-16T18:10:42.687Z"
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      {
        "id": 80676,
        "title": "Vansec - Spear phishing simulation & security awareness training, powered by AI",
        "tagline": "Multi-message phishing simulation & chat-based security training",
        "body": "**TL;DR**\n\n* Vansec’s spear phishing simulation is highly-personalized (using AI), multi-message (parse + generate emails using AI), and multi-modal (email, SMS, and more), to accurately reflect the current sophistication of phishing that bad actors employ (we have basic phishing simulations as well).\n* Vansec’s chat-based security awareness training is designed to be interactive (users will _actually_ learn) and bite-sized (< 5 mins).\n\n**Vansec’s multi-message spear phishing simulation (expanded thread **[**here**](https://www.vansec.com/media/temp/sim_full.png)**)**\n\n![uploaded image](/media/?type=post&id=80676&key=user_uploads/386068/dce3d55f-bfd8-4637-91c8-3556e3826144)\n\n**Vansec’s chat-based security awareness training (personalized to each employee’s simulation) (expanded conversation **[**here**](https://www.vansec.com/media/temp/debrief_full.png)**)**\n\n![uploaded image](/media/?type=post&id=80676&key=user_uploads/386068/fc97e518-4c5c-4c25-8894-967641397af3)\n\n**Security awareness training on a cybersecurity topic (expanded conversation **[**here**](https://www.vansec.com/media/temp/ransomware_full.png)**)**\n\n![uploaded image](/media/?type=post&id=80676&key=user_uploads/386068/ce7ea892-3fcc-4f74-bd3f-a23bf910b294)\n\n### **What is spear phishing simulation and why is it important?**\n\nSpear phishing is an advanced form of phishing, where the bad actor engages the victim in a very personalized & targeted manner, usually involving prior research on the victim (e.g. via LinkedIn) as well as various social engineering techniques to try to trick the victim.\n\nIt’s common knowledge that phishing is by far the most common way in which cyber attacks occur (over 90%, as of 2020), and 66% of phishing victims are victims of spear phishing attacks (as of 2023). With proliferation of generative AI and everyone being on LinkedIn, the phishing techniques that bad actors are using are growing both in sophistication and scale.\n\n### **Existing phishing simulations are ineffective**\n\nThe world of phishing simulation is dominated by legacy players like KnowBe4, and while their product is the standard of the industry, the product itself is very one-dimensional.\n\n**Problem 1**. Existing phishing simulations are too basic, where you send out one templated email and that’s it.\n\n**Problem 2**. Simulations are not highly-personalized, nor can you train your employees against dangerous social engineering techniques.\n\nThe reality is that this does not prepare your employees against the most dangerous type of phishing attacks: spear phishing. **Vansec’s spear phishing simulations are multi-message, hyper-personalized, and scenario-based where you can choose from common scenarios or customize your own (p.s. we also provide basic phishing simulation too).**\n\n### **Security awareness training is broken**\n\nEmployees playing training videos in the background/minimized while doing something else. This is what security awareness training looks like today.\n\n**Problem 1**. Obviously, this does not improve company’s actual security readiness.\n\n**Problem 2**. It’s a waste of time for the employee.\n\nThe optimal outcome here is for the training to be a) effective i.e. employees actually learn and become security-effective and b) time-efficient i.e. minimal disruption to their workflow.\n\nOur opinion is that learning should always be interactive, not passive. We also believe that getting pulled away from actual work to complete training is _always_ going to be annoying for the employee, no matter how you do it. **That’s why we designed Vansec’s security awareness training to be interactive & bite-sized (p.s. it’s also super personalized).**\n\n### **The ask**\n\n* Check out our [**interactive demo**](https://www.vansec.com/?demo_is_active=true#demo) and/or [**find a time**](https://calendly.com/vansec/vansec-discovery) to get started.\n* If you already have a phishing sim + training vendor but are interested in Vansec, please reach out and we can explore an option for you to use Vansec for free until your existing contract lapses.\n* If you are a security vendor looking for partnerships, let’s chat!",
        "url": "https://www.ycombinator.com/launches/KzE-vansec-spear-phishing-simulation-security-awareness-training-powered-by-ai",
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        "created_at": "2024-05-07T14:58:32.978Z"
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      {
        "id": 68603,
        "title": "PlusPassword - Share passwords without revealing them",
        "tagline": "No revealing in plaintext, no copying to clipboard",
        "body": "**tl;dr**: **PlusPassword** is:\n\n* A **free** tool ([**web app**](https://www.pluspassword.com) || Slack app & browser extension [download page](https://www.pluspassword.com/download)).\n* That allows you to **share passwords** with others **without revealing them in plaintext or copying to clipboard**\\*.\n\n…………………………………………………………………………………………………\n\n## **🫵 Do you…**\n\n* Share passwords with others (coworkers / 3rd party vendors) more than once a week?\n* And you know you shouldn’t be sharing them in plaintext over email / text / Slack...\n* But you do so anyways because there isn’t a better alternative?\n* Well, now there is!\n\n## **💡 How does PlusPassword work?**\n\n* **Sharing password**.\n\n  1\\. Set security options such as:\n  * Automatic logout after X hours.\n  * Restrict password paste to specific web domain.\n  * Email allowlist.\n\n  2\\. Generate access link.\n\n  3\\. Share link.\n* **Accessing password**.\n\n  1\\. Install browser extension.\n\n  2\\. Decrypt & paste password into password input field via browser extension. (Never revealed in plaintext or copied to clipboard.)\n\n![uploaded image](/media/?type=post&id=68603&key=user_uploads/386068/eeb51320-3f02-40ad-8f60-94a13fffa87f)\n\n## **🔐 Why should I trust PlusPassword?**\n\n* We take a lot of pride in our robust security design, but the reality is that nothing in this world is 100% failproof.\n* That's why we always encrypt your passwords (using industry standard cryptographic practices\\*\\*) and never store anything on our servers that can ever decrypt them (zero-knowledge).\n* Learn more in our [security page](https://www.pluspassword.com/security).\n\n## **🙏 The Ask**\n\n* Try sharing a password through [**PlusPassword**](https://www.pluspassword.com) (\\~30 seconds, free). We also have an awesome **Slack app** and **browser extension** ([download page](https://www.pluspassword.com/download), also free).\n\n\\\n\\\n\\* With enough malicious intent, one technically can see the plaintext of the password by inspecting the value attribute of the password input field or listening to the POST request when the form is submitted (although most websites only send the hash of the password over the wire). But the thing is, if someone has that much malicious intent to begin with (i.e. going out of their way to dig up the plaintext of the password), you probably shouldn't be sharing the password and giving this person access to your account anyways.\\\n\\*\\* We never store anything on our servers that can ever decrypt your encrypted passwords (zero-knowledge). We use PBKDF2 (with 101,004 iterations) for key derivation and AES-GCM for symmetric encryption, both utilizing the Web Crypto API. PlusPassword is developed adhering to the compliance requirements of SOC 2 (PlusIdentity is SOC 2 Type II compliant).",
        "url": "https://www.ycombinator.com/launches/HqV-pluspassword-share-passwords-without-revealing-them",
        "votes": 19,
        "created_at": "2023-01-22T17:16:06.420Z"
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        "full_name": "Rashmi Bala",
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        "founder_bio": "Rashmi Bala is the co-founder and CTO of Anakin. Rashmi is responsible for hiring and running Anakin’s engineering and data science teams. She has worked across multiple eCommerce companies building softwares. She graduated from IIT Kanpur with a Bachelor in Electrical Engineering.",
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        "title": "B2B SaaS startup Anakin raises $2mn from YCombinator | VCCircle",
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        "date": "Feb 11, 2022"
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        "title": "Anakin’s pricing tool gives e-commerce companies jump on competitors – TechCrunch",
        "url": "https://techcrunch.com/2021/12/10/anakins-pricing-tool-gives-e-commerce-companies-jump-on-competitors/",
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        "id": 79308,
        "title": "Anakin's Product Extractor - One API to scrape any eCommerce page",
        "tagline": "Extract product data like price, specifications, variants from any eCommerce product page with a single API call",
        "body": "Hey everyone,\n\nScraping data from eCommerce websites can be a daunting task. You're stuck writing custom codes for each site, battling proxies, and when a site changes its UI, your automation breaks completely. We faced this problem firsthand while building a pricing assistant for online eCommerce companies. We realized we had to scrape 1000s of different eCommerce websites, and existing tools just didn't cut it.\n\n# \n\n# **Our Solution:**\n\n[Anakin’s Product Extractor](https://extractor.anakinai.com/) is a tool that extracts data from any eCommerce product page into JSON, fully automatically. No more custom codes or broken automation! Here’s how it works:\n\n1. Enter the URL of the eCommerce product page\n2. Our tool automatically extracts all the relevant data\n3. Receive the data in a clean, structured JSON format on the webpage and on email\n\nIt takes 1 to 5 minutes to get this data, but we didn’t optimize for this, since our customers told us that instant results were not a necessity. Feel free to leave the webpage if it takes more than a minute, and we will email you the results when done.\n\n![uploaded image](/media/?type=post&id=79308&key=user_uploads/200738/a00259ac-4a72-4089-87dc-4bc100bde694)\n\n# **Our Ask:**\n\nWe’re eager to know if Anakin’s Product Extractor is something that could make your life easier. If you’ve faced similar web scraping challenges, we’d love to do a quick 15-minute call with you! Please reach out to us at [mohit@anakin.company](mailto:mohit@anakin.company) or book a call directly on our [Calendly.](https://calendly.com/d/3gh-pdy-ygc/anakin-s-product-data-extractor) We have also rolled out an API which I hope you will find interesting. Your feedback will be super valuable in shaping the next steps of our product.\n\nWe’ve also built another tool where you can enter the name of an eCommerce website, and it will crawl within the website to fetch all the products and their data for you in a structured format. If you want to try it out, book a demo [here](https://calendly.com/d/3gh-pdy-ygc/anakin-s-product-data-extractor).\n\n\\\nThank you!\\\n[Mohit Prateek](https://linkedin.com/in/mohitprateek)",
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    "long_description": "Abbot helps customer-facing teams work with their customers in Slack. Abbot watches activity to make sure that customers get replies quickly. Once Abbot joins a room, it summarizes conversations, tags relevant topics, and even suggests next steps. Abbot's Insights make it easy to see your team's responsiveness at a glance. Want to automate common tasks? Abbot's built-in Skills functionality (think: small bits of code we run for you) can be triggered by customer topics, on a schedule, in response to external webhooks, or directly from chat.",
    "one_liner": "Your Customer Success Co-Pilot",
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      "name": "Nicolas Dessaigne",
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    "founders": [
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        "full_name": "Anh-Tho CHUONG",
        "title": "Founder",
        "founder_bio": "Anh-Tho leads the business side of Lago. \nShe genuinely thinks \"SaaS is beautiful\" and therefore spent 10 years in go-to-market and product led growth roles in B2B SaaS startups.\nAfter a stint in consulting at McKinsey & Co, she joined Mailjet (acq. by Mailgun) as Head of Strategic projects. \nShe then launched Weebly (YC W07) in France, before becoming the 1st employee at Qonto, one of the European fintech unicorns.\nDuring her tenure as VP Growth, she grew ARR from 0 to dozens of millions.",
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        "full_name": "Raffi SARKISSIAN",
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        "location": "FR / ES / DE / PT / IT / Remote (FR; ES; DE; PT; IT)",
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        "title": "The open source billing startup that wants to take on Stripe | Sifted",
        "url": "https://sifted.eu/articles/open-source-billing-startup-lago-news",
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      {
        "title": "Lago, a Paris-based open source billing platform, banks $22M | TechCrunch",
        "url": "https://techcrunch.com/2024/03/14/lago-a-paris-based-open-source-billing-platform-banks-22m/",
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      {
        "title": "French Tech : Anh-Tho Chuong, l'entrepreneuse française à fond dans l'open source | Les Echos",
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    "id": 24153,
    "name": "Dailybot",
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        "full_name": "Mauricio Morales",
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        "title": " DailyBot 2.0 - Make your chat 10x better | Product Hunt",
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      {
        "id": 109411,
        "title": "Dailybot CLI: Your AI agents now report to the team",
        "tagline": "An open-source CLI and skill that turns private agent work into team updates, approvals, and workflows in chat",
        "body": "Hey everyone! we’re Mauricio and Sergio, co-founders of Dailybot (YC S21).\n\n**What Dailybot is**: a place for team updates, check-ins, and coordination inside Slack, Microsoft Teams, Discord, and Google Chat. For people and AI agents.\n\n**TL;DR**: we built an open-source CLI so people, scripts, and AI agents can drive Dailybot from the terminal. Updates, check-ins, chat messages, forms, and more land where the team already works: Slack, Microsoft Teams, Discord, or Google Chat. **Ask:** ask your agent to try our skill ([**www.dailybot.com/skill.md**](http://www.dailybot.com/skill.md)), run one workflow that matches how your team actually works, and tell us which one helped you move forward today.\n\nDailybot skill: [**https://www.dailybot.com/skills/agent-skill/#install**](https://www.dailybot.com/skills/agent-skill/#install)\n\n**Demo**\n\n[**Dailybot CLI + Agent Skill: Connect your AI coding agent to your team**](https://www.youtube.com/watch?v=rwopfsPzgSQ)\n\n\\\n**The problem**\n\nTeams are getting real work done with coding agents and scripts. A lot of that work still finishes in a private session. The rest of the team only hears about it if someone rewrites it into Slack or a standup.\n\nSo you get the usual mess: invisible agent work, stale status during a release, approvals bouncing between tools, and check-ins that someone rebuilds by hand for every new project.\n\n**What we shipped**\n\nDailybot CLI. Same Dailybot account and team feed you already use, now from the command line. A few workflows we’re highlighting:\n\n1. Agent update to team chat — done / next / blockers show up in the feed, without a human rewrite\n2. One status message that stays current — one release/status message you keep updating, instead of a pile of outdated posts\n3. Simple approvals in chat — approve/reject in Slack or Teams; your system gets the result and work continues\n\nThere’s more under the hood (forms, check-in creation, agent inbox, activity into reports, kudos, teams, workflows). We’re leading with the ones that produce a visible team result fast.\n\n**Installing the CLI**\n\nEasiest path: pass the skill to your agent and ask it in plain language, e.g. “post a team update that we finished the CLI install path” – [**https://www.dailybot.com/skill.md**](https://www.dailybot.com/skill.md)\n\n**How we got here**\n\nWe’ve been building Dailybot for hybrid teams for a while: async check-ins, reports, and coordination inside chat. As our own team (and customers) started running agents all day, the gap got obvious: agents ship work, humans still retype the update.\n\nThe CLI is our answer to that gap. A bridge into the place the team already coordinates.\n\n**Our ask**\n\n1. Install and try one workflow: [**https://www.dailybot.com/skills/agent-skill/#install**](https://www.dailybot.com/skills/agent-skill/#install)\n2. Reply with the workflow you’d want documented/explored next\n3. If useful, intros to eng teams already running agents in production (contact our founders)\n\nThanks,\\\nMauricio &amp; Sergio",
        "url": "https://www.ycombinator.com/launches/SSh-dailybot-cli-your-ai-agents-now-report-to-the-team",
        "votes": 22,
        "created_at": "2026-08-05T16:22:36.120Z"
      },
      {
        "id": 70494,
        "title": "Dailybot+ AI 🧠 The assistant and toolkit for modern teams",
        "tagline": "Meet Dailybot, a ChatGPT assistant and AI workflow builder for your work chat",
        "body": "Hi! We are Mauricio Morales and Sergio Florez, the founders of [Dailybot](https://www.dailybot.com/product/ai?utm_source=YCLaunch).\n\nDailybot+ AI is a toolkit for modern work: a ChatGPT Assistant and an AI Workflow automation tool that takes asynchronous work and in-chat collaboration to another level. Compatible with Slack, Microsoft Teams, Google Chat, or Discord.\n\n### **The Problem**\n\nAI is the future, yes. But many people lack the knowledge and resources to effectively incorporate AI into their daily workflow, resulting in missed opportunities for creating impactful use cases.\n\n### **Our Solution**\n\nDailybot provides a chat assistant and platform that simplifies the integration of AI into daily workflows. With our technology, anyone can access an AI assistant (ChatGPT) in the work chat, and can also implement use cases that leverage the power of AI.\n\n![uploaded image](/media/?type=post&id=70494&key=user_uploads/207324/1d5a25dc-bc23-4f36-8315-61af16175cf6)\n\nWe provide key building blocks for you to combine and build multiple use cases on top of your chat workspace.\n\nThe building blocks of Dailybot are: **Check-ins** for stand-ups or recurring surveys; **Forms** for any data collection; **Chat Commands** for in-chat customization; **Workflows** for setting up triggers/actions; and the **AI engine**.\n\nThe Dailybot Workflows provide a Zapier-like interface where users can define triggers and actions (one or multiple) that should run.\n\n![uploaded image](/media/?type=post&id=70494&key=user_uploads/207324/7c533a87-fd19-4145-a9c9-4450a49a0e53)\n\nThe Actions can be AI content generation, sending messages (DMs or channels), sending emails, or triggering other building blocks of Dailybot.\n\n![uploaded image](/media/?type=post&id=70494&key=user_uploads/207324/dc811400-636e-4ffb-8773-aaefa373ddc2)\n\n### **A Few Examples**\n\n* You run a **Daily Stand-up** (built with Check-ins), then, **when a blocker is reported**, an **AI Workflow is run**. It analyzes the blocker and then suggests the employee ideas for solving the issue/bocker.\n* You create a **Form** that will be triggered with the in-chat command named “**product release**”, when the Form is completed an **AI Workflow is run**. It analyzes all the content of the release form **and generates a press release** that is posted into the #releases channel.\n* You create an **anonymous survey to monitor team morale**. The **AI analyzes all the responses** and sends a summary to the head of HR (via email or DM).\n\nWe're passionate about making remote work easier and more efficient and our goal is to make DailyBot the best companion for your team’s work.\n\n**Our Ask:**\n\nWe’d love to hear your ideas on what type of AI-powered daily workflows (in chat) will add value to your team, feel free to share the feedback at [support@dailybot.com](mailto:support@dailybot.com)\n\nWe offer a Free Trial, [**Try Dailybot here**](https://www.dailybot.com/product/ai?utm_source=YCLaunch).",
        "url": "https://www.ycombinator.com/launches/IL0-dailybot-ai-the-assistant-and-toolkit-for-modern-teams",
        "votes": 40,
        "created_at": "2023-03-23T15:06:42.817Z"
      },
      {
        "id": 64310,
        "title": "DailyBot 🤖 daily stand-ups, automation and chat assistant for work",
        "tagline": "⚡️ On a mission to provide one-click workflows for team collaboration and productivity via chat",
        "body": "👋 Mauricio and Sergio from [@DailyBot](https://www.dailybot.com/) here.\n\n### **TL;DR**\n\nDailyBot is a bunch of useful add-ons for your chat platform. Plug it into your chat and make Async Work a breeze for your team:\n\n* 1- Running async Daily Stand-ups, natively integrated in the chat\n* 2- Cutting unnecessary meetings with more types of recurring check-ins\n* 3- Spreading love and team recognition with DailyBot Kudos\n* 4- Socializing better with watercooler prompts and random 1:1 coffees\n\nAnd developers can build simple in-chat functions for their day-to-day operations, without the need to learn chat-platform-specific APIs.\n\nAvailable on Slack, Discord, MS Teams, G Chat.\n\n### **The problem**\n\nAsync work is the new way of working for many teams. Most teams use chat in any form with tools like Discord, Slack and others. As chat becomes the main app that workers interact with everyday, it becomes necessary to give it more purposes.\n\nNew purposes include workflows like team check-ins, surveys, platform notifications, tools for social engagement, or custom commands to trigger actions.\n\nCreating all this setup is a hustle:\n\n* 1- You have to use many apps, bots, plugins\n* 2- There is a lot of context switching, management overhead, more subscription fees, and more app fatigue for workers\n* 3- Most bots are not designed for protecting security and privacy\n\n# **DailyBot is the solution**\n\nWe are building the first super-bot for your chat. DailyBot comes with a bunch of use cases and features, all-in-one. Some workflows include:\n\n**Check-ins:** track automatically what your team is up to. You can run async and written updates, agile daily stand-ups, retrospectives, or periodic check-ins like 1:1s.\n\n![uploaded image](/media/?type=post&id=64310&key=user_uploads/207324/06136816-f0a8-4324-8e8b-db4bb9a0aa81)\n\n**Kudos**: give kudos and celebrate actions that contribute to better team culture. Create rewards and have fun activities with your team based on our leaderboard.\n\n![uploaded image](/media/?type=post&id=64310&key=user_uploads/207324/b523b354-332f-4d1e-9617-996320210eb7)\n\n**Forms**: create all-purpose forms that people can respond to in chat or on the web. Automate vacation requests, recurring feedback forms, and more.\n\n![uploaded image](/media/?type=post&id=64310&key=user_uploads/207324/91614956-ebf2-45e0-b746-678fac7349ec)\n\n**Custom commands**: create commands to increase your team’s productivity in less than a minute. Virtual coffees, birthday reminders, watercoolers, pomodoro timers, your own chat-ops and more.\n\n![uploaded image](/media/?type=post&id=64310&key=user_uploads/207324/974d041a-a4b9-4c5a-a1c0-2b810e40ec29)\n\n### **Security by design and SOC2 compliance**\n\nMost apps take a lot of permissions to access data from your chat. This becomes concerning when you are using dozens of apps to build your team workflows. We are designing DailyBot as a privacy & security first company.\n\nDailyBot only requests the minimal API permissions from your chat. It can only process messages that are directed to the bot.\n\nWe are SOC2 Type II compliant, giving confidence to small and big companies about our work and data management practices.\n\n**Join Us!**\n\nGet started for free. Go to [www.dailybot.com](http://www.dailybot.com) and install DailyBot on your chat (2-min setup). We have a bookface deal for our fellow YC members.\n\nSee you on the other side!\n\nPs: Join our [Discord community](https://discord.gg/StjtJ5u7QF) and follow us on [Twitter](https://twitter.com/dailybot) and [LinkedIn.](https://www.linkedin.com/company/dailybot) ;)",
        "url": "https://www.ycombinator.com/launches/GjG-dailybot-daily-stand-ups-automation-and-chat-assistant-for-work",
        "votes": 50,
        "created_at": "2022-07-04T18:21:28.389Z"
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    "name": "Tablevibe",
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    "website": "https://www.tablevibe.co",
    "all_locations": "Singapore, Singapore; Remote",
    "long_description": "We help restaurants launch their own online ordering store and sell directly to customers.\r\n\r\nThis reduces costs by up to 80% compared to traditional delivery apps, grows sales, and gives restaurants full ownership of their customer data.\r\n\r\nOur software automatically books riders for on-demand delivery at low, distance-based rates.\r\n\r\nCurious to learn more? Book a demo at tablevibe.co/democall.",
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    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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    "url": "https://www.ycombinator.com/companies/tablevibe-co",
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    "country": "SG",
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        "full_name": "Jeroen Rutten",
        "title": "Founder",
        "founder_bio": "With 6.5 years of product leadership experience at Google in Dublin, Singapore and Amsterdam, and with a passion for digital product development and entrepreneurship I started Tablevibe.co. \n\nTablevibe is the one-stop platform to help restaurants grow. We do this through smarter booking features, capturing guest experiences, and driving loyalty and online reputation. ",
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        "full_name": "Guido Caldara",
        "title": "Founder",
        "founder_bio": "CTO @ tablevibe.co\n\nTech enthusiast, developer and coding teacher with a management background @ Decathlon. \nI've spent the last few years teaching others how to code by sharing my passion with students from all over the world @ Le Wagon coding school.\n\nI'm in love with building tech products, addicted to ultramarathons and always ready to embrace new challenges. ",
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        "full_name": "Mathieu Sneep",
        "title": "Founder",
        "founder_bio": "Co-founder and head of growth @ tablevibe.co. \n\nI love and live internet businesses. I have ≈10 years of sales and people management experience at both start-ups and multinationals (Google, AdRoll, Fyber) in Europe and Asia.\n\nTrying to live by this motto: ”Twenty years from now, you will be more disappointed by the things you didn’t do than by the ones you did do. Explore. Dream. Discover.\"\n\n\n",
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        "title": "Ex-Google execs’ firm partners with delivery riders for free online ordering",
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        "date": "Dec 22, 2022"
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        "title": "Tablevibe disrupts food delivery apps with 0% commission rates",
        "url": "https://www.smartcompany.com.au/industries/hospitality/tablevibe-disrupts-food-delivery-apps/",
        "date": "Dec 15, 2022"
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      {
        "title": " Tablevibe partners with Xendit to offer Filipino restaurants commission-free online ordering | The Manila Times ",
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        "date": "Nov 21, 2022"
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        "url": "https://www.techinasia.com/exgoogle-execs-saas-startup-bags-15m-seed",
        "date": "Dec 01, 2021"
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        "title": "YC - Backed Tablevibe Helps Restaurants Limit Their Dependency on Delivery Applications",
        "url": "https://theceostory.in/latest-news/yc-backed-tablevibe-helps-restaurants/",
        "date": "Aug 13, 2021"
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    "id": 24156,
    "name": "Lariat Data",
    "slug": "lariat-data",
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    "website": "https://www.lariatdata.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Lariat is a Continuous Data Quality monitoring platform to discover data bugs before your consumers do. Ensure data products don’t break even as business logic, input data and infrastructure change.\r\n\r\nUse Lariat to define and then automatically extract, store and visualize data quality metrics on raw event-level data through to delivered data products.\r\n",
    "one_liner": "Observability for Data Engineering Teams",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1626560864,
    "tags": [
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      "Big Data",
      "Data Engineering"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Inactive",
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    "url": "https://www.ycombinator.com/companies/lariat-data",
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        "full_name": "Aaditya Talwai",
        "title": "Founder",
        "founder_bio": "Co-founder & Chief Technology Officer, Lariat Data. \n\nAaditya has spent 10 years of his career building DevOps and developer infrastructure products. He was previously a software architect at Datadog, helping launch and scale the APM product across 100+ software runtimes and integrations. He has also built developer-facing products at Confluent and Bloomberg. He leads the technical team at Lariat Data, guiding product and architecture direction.",
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        "linkedin_url": "https://www.linkedin.com/in/talwai",
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    "id": 24159,
    "name": "Patterns",
    "slug": "patterns",
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    "website": "https://patterns.app/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Patterns revolutionizes financial analysis by making it easy and accessible through natural language. We are seeking passionate individuals excited about simplifying financial analytics and transforming business intelligence. If you're interested in joining an innovative team in the finance space, explore our job openings and become part of our mission.\r\n\r\nOur advanced AI transforms financial data workflows and reporting, surpassing traditional spreadsheets and inflexible SaaS solutions. By integrating state-of-the-art LLMs with autonomous querying and financial reasoning, Patterns empowers practitioners to perform complex analyses effortlessly via a natural language interface.",
    "one_liner": "Next-Gen Financial Analysis and Reporting with AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
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        "title": "Y Combinator–backed Patterns is building a platform to abstract away data science busywork | TechCrunch",
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    "all_locations": "San Francisco, CA, USA",
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      "name": "Diana Hu",
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        "full_name": "Hassaan Raza",
        "title": "Founder",
        "founder_bio": "Building the human layer of AI ",
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        "linkedin_url": "http://linkedin.com/in/hassaanraza/",
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        "full_name": "Quinn Favret",
        "title": "Founder",
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        "id": 79584,
        "title": "Senior Software Engineer (Infrastructure)",
        "url": "https://www.ycombinator.com/companies/tavus/jobs/Wy7lub3-senior-software-engineer-infrastructure",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
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        "body": "**tl;dr:** Kaya is the _only_ company that provides end-to-end campaign management services and a marketing analytics platform. With our cutting-edge AI and experienced marketers, we deliver your campaigns 10x cheaper, better, and faster than traditional agencies or freelancers.\n\n### **🧨 Problem**\n\nStartups need paid ads to grow, but building a full-stack marketing function takes years and significant funding. Most companies end up hiring traditional agencies, freelancers, or in-house teams and face these problems:\n\n![uploaded image](/media/?type=post&id=82580&key=user_uploads/719782/92924144-4967-4efa-a7ad-83bd60a9e10f)\n\n### **✅ Our Solution**\n\nKaya delivers a seasoned team and marketing analytics from the get-go, saving you significant time and money.\n\n* **Campaign management services:** We launch and optimize your marketing campaigns across multiple channels (Google, LinkedIn, Meta, TikTok Ads).\n\n  ![uploaded image](/media/?type=post&id=82580&key=user_uploads/719782/3f54641a-8033-4bf5-8a0d-cd7214991d2e)\n\n* **Marketing analytics platform:** Customized dashboard and Slack bot to track CAC and all marketing KPIs.\n* Slack channel with Kaya’s founders and marketers for seamless collaboration.\n\n# \n\n### **💖 Why Founders Love Us**\n\n* **Results**: See campaigns launched in 2 weeks and performance improvements within 1 month.\n* **Speed:** Our internal tools utilize data science and AI to optimize campaign performance. Our SLA is 1-3 days, depending on task complexity.\n* **Work quality:** Despite using AI in our workflow, our experienced marketers further amend and ensure everything is of top-notch quality. We also provide unlimited revisions.\n* **Pricing:** Our technology enables us to deliver better results with minimal overhead costs, and we pass those savings back to you.\n* **Cultural fit:** We're a startup ourselves, so we prioritize experimenting in a structured way and working iteratively.\n\n...and more. [**Read testimonials →**](https://www.usekaya.com/reviews?utm_medium=referral&utm_source=yc&utm_campaign=launch-yc-ads-management-service)\n\n# \n\n### **🚀 Interested?**\n\nTell us your marketing goals and get a tailored marketing plan featuring:\n\n* Practical paid ads strategy and sample ad copies\n* Insights about competitor paid ads you can’t find anywhere else\n* CAC forecast\n\n[**Get a free proposal here →**](https://app.usekaya.com/start?utm_medium=referral&utm_source=yc&utm_campaign=launch-yc-ads-management-service)\n\n### 🤗 **Our team**\n\nHi everyone, we’re Brian and Jee– the team behind [Kaya](https://www.usekaya.com/?utm_medium=referral&utm_source=yc&utm_campaign=launch-yc-ads-management-service).\n\nAt Kaya, we've built our team and services with founders in mind. We initially started with a SaaS product and quickly learned that most marketing tools are designed for experienced marketers, not busy entrepreneurs. We also realized that founders generally want two things: quick implementation and solid results. So we've created a service that delivers both. Our team provides comprehensive marketing support, from strategy to execution, backed by AI and data analytics. Our approach typically results in significantly better ROI compared to traditional methods, helping your startup grow faster without the usual marketing headaches.\n\n![uploaded image](/media/?type=post&id=82580&key=user_uploads/719782/9ce2573f-93f9-4a2d-8fd9-6d47db06d039)\n\n",
        "url": "https://www.ycombinator.com/launches/LTw-kaya-ai-powered-marketing-agency",
        "votes": 88,
        "created_at": "2024-07-30T21:26:18.423Z"
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    "id": 24195,
    "name": "Tarsal",
    "slug": "tarsal",
    "former_names": [
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      "vdiff"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/75747b61e59eadbd8831c406fbe1beed2fd4957b.png",
    "website": "https://www.tarsal.co/",
    "all_locations": "New York City, NY, USA; San Francisco, CA, USA; Remote",
    "long_description": "Tarsal is a data pipeline custom built for security teams. As security data grows 25% year over year, security teams desperately need access to best-in-class data infrastructure. Tarsal bridges the gap between the modern data stack and security teams, pioneering the modern security data stack. \r\n",
    "one_liner": "Data pipeline for your security data lake.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1680491615,
    "tags": [
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      "Big Data",
      "Data Engineering"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Acquired",
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      "Security"
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      "United States of America",
      "America / Canada",
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      "Fully Remote"
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    "url": "https://www.ycombinator.com/companies/tarsal",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/tarsal.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
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        "full_name": "Sunny Rekhi",
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        "date": "Mar 21, 2024"
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        "id": 71058,
        "title": "Tarsal: Data pipeline built for modern security teams",
        "tagline": "Run your SIEM on a generic data lake with one-click connectors that normalize your logs to a unified schema",
        "body": "### **TL;DR:**\n\n[**Tarsal**](https://tarsal.co) **is the first data pipeline built for modern security teams.** We’re like Fivetran or Segment, but built for security teams.\n\nTarsal provides:\n\n\\- one-click ingestion and normalization for all security logs (e.g multi-cloud infra, Okta, Duo, Slack, CrowdStrike, etc.)\n\n\\- normalization _across_ sources for easy correlation\n\n\\- detections as code\n\n\\- a vendor-agnostic pipeline so you can use the best log destination for the job (supported destinations include Snowflake, S3, Databricks, Splunk, DataDog, etc.)  \n\n### 👤 **The Team**\n\n[**Sunny Rekhi**](https://www.linkedin.com/in/sunny-rekhi/) **(CEO)** was previously an infrastructure + backend engineer at TikTok and Uber, where he worked on high scale data systems.\n\n[**Manny Gundampalli**](https://www.linkedin.com/in/manny-gundampalli-6a982019b/) **(CTO)** was previously a data infrastructure engineer at Plaid, where she worked on Plaid’s highest volume ML pipelines.\n\n### **❌ The Problem**\n\n**Security data has become unmanageable.**\n\n![](https://lh4.googleusercontent.com/48OpE_QVew8YK5ESoSSTbQC9_FXZWfbtePb8yXmZlY7vpDTBGjNbqb7rCW4XRM4BzJtnUng2CeOGYkrqzO3VHXonj_23Q99TUIGRqOHDqZxNC7RdXz-W1sBM78XNig5TovQL1n5S8TtaeKgVdII8W2AtGQ=nw)\n\n* There’s no standard for how security data is defined, so security teams have to write complex queries to account for all the variations.\n* There’s no consistent way to get your log data: some vendors expose a REST API, others expose a GraphQL API. Some give you JSON data, some give you unstructured text. Schematized data is rare.\n* There’s _a lot_ of it. Security data is growing at 23% CAGR, and log storage costs are incredibly high.\n\n## **✨ Our Solution**\n\n[**Tarsal**](https://tarsal.co) is the first data pipeline built for modern security teams. With zero-hassle, one-click connectors, security teams can ingest normalized data and route it to the destination of their choice.\n\n**Our unified schema is specifically designed to reduce the complexity in incident response.** By normalizing a set of standard fields across all log sources, security teams no longer have to write complex queries to track an incident across their systems. Query once against Tarsal fields — let us figure out how that maps back to the original data.\n\n**We save you money on log storage costs by letting you route logs to the cheapest destination.** With data growing 23% year over year, organizations face ballooning infrastructure cost. Tarsal lets you filter + route logs to any of our supported destinations, including major SIEMs, Amazon S3, or a modern data warehouse like Snowflake, BigQuery, or Databricks.\n\n**Tarsal lets you write real-time detections as code.** Write expressive and flexible detections in Python for needs specific to your enterprise. Benefit from pre-built detections that are mapped to specific threats.\n\n**We alert you if anything breaks in your log ingestion.** Rest assured that you’re collecting the data you’d need during an incident. Set up Slack or PagerDuty alerts if any of your logs stop syncing over.\n\n![](https://lh6.googleusercontent.com/s_iuAJD6ZiI_jJBjGYE8ndHSN0grI-BEHRg_unkfAwwFlRvqhiWxfDPsNQ14mUlakvOPbedvfdc_ITMJfFlT3KdMUYolC43L-wwZx39-LbomTRhIstS4EofeIhj2WWBFLqCZEnaoCwbV9DL9_0FP-zKCbw=nw)\n\n### **🎉 Interested?**\n\nEmail us at [founders@tarsal.co](mailto:founders@tarsal.co) and we’ll give you a link to sign up. You can also a book a call with me [here](https://calendly.com/rohit-rekhi/30min) to learn more.",
        "url": "https://www.ycombinator.com/launches/IU6-tarsal-data-pipeline-built-for-modern-security-teams",
        "votes": 58,
        "created_at": "2023-04-19T14:52:36.010Z"
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    "id": 24197,
    "name": "Hilos",
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    "website": "https://hilos.io",
    "all_locations": "Mexico City, CDMX, Mexico; Remote",
    "long_description": "Platform for WhatsApp API that allows you Profile leads, automate follow-ups and integrate with your favorite tools to increase conversion.\r\n\r\nHilos allows startups and SMBs to run their entire business on WhatsApp, without code. We focus specifically on letting businesses build apps within WhatsApp that integrate with other systems (CRMs, Databases, Payment providers, etc.).",
    "one_liner": "Close and activate your customers on WhatsApp",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1628792250,
    "tags": [
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    "batch": "Summer 2021",
    "status": "Acquired",
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      "Latin America",
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    "url": "https://www.ycombinator.com/companies/quid",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/quid.json",
    "year_founded": 2021,
    "city": "Mexico City",
    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/hilos-io",
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        "user_id": 81210,
        "full_name": "Alfonso Lizárraga",
        "title": "Founder",
        "founder_bio": "Looking for social problems to solve in LATAM through tech and product design.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alfonso-lizarraga/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/256e0b3ba26abef0170f3bcf0e3a183d824a8da8.jpg"
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    "news": [
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        "title": "6 startups mexicanas presentes en el Demo Day de Y Combinator S22",
        "url": "https://www.forbes.com.mx/6-startups-mexicanas-presentes-en-el-demo-day-de-y-combinator-s22/",
        "date": "Sep 14, 2022"
      },
      {
        "title": "Our 11 favorite companies from YC's S22 Demo Day: Part 1 • TechCrunch",
        "url": "https://techcrunch.com/2022/09/07/11-favorite-yc-demo-day-s22-startups/",
        "date": "Sep 07, 2022"
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        "id": 65725,
        "title": "Hilos - Zapier for WhatsApp",
        "tagline": "Build apps in WhatsApp by connecting it with the tools you already use!",
        "body": "# **TL;DR**\n\nEasily connect WhatsApp to the systems you already use and automate outbound customer journeys, as well as advanced inbound experiences in a day, not weeks.\n\n# **The Problem**\n\nYou want to send an automated message to your client whenever they reach a certain status in your database / CRM?\n\nOr your customers are asking you the same repetitive questions like “what is the status of my delivery”?\n\nIf you’ve tried to integrate WhatsApp to the tools you already use, you already know it’s a time sink. Building these integrations takes precious time from your engineering team. Outbound messages don’t show up in your inbox and confuse your team, etc.\n\n# **How Hilos simplifies your life**\n\nThe short version is we turn this…\n\n![uploaded image](/media/?type=post&id=65725&key=user_uploads/523944/3c12b792-601b-48e9-b875-dcb2f335ab3c)\n\n…into this:\n\n![uploaded image](/media/?type=post&id=65725&key=user_uploads/523944/56f36d33-f55f-465e-a0ec-058e2b922201)\n\nWhich lets you connect you customer’s answers with anything with our API step 😉\n\n![uploaded image](/media/?type=post&id=65725&key=user_uploads/523944/ec472c2f-30b9-46df-9773-c957c1eaa360)\n\n**Hilos is the full stack for WhatsApp that allows you to:**\n\n1. Automate outbound campaigns (whether transactional or for marketing) directly via our API, manually or from Hubspot workflows.\n2. Build intelligent conversations that respond your customer’s questions without spending months building. “What is the status of my package”? That’s a 3 step flow that asks for their tracking number, checks it with your API, and returns the result in chat.\n3. And it comes with all the things you need to get started. Access to WhatsApp’s API, a multi agent inbox and a broadcast sender for personalised one off campaigns.\n\nWe’d love to get you closer to your clients on WhatsApp, get in touch with us [here](https://hilos.io/en/book-demo), or [via WhatsApp](https://api.whatsapp.com/send?phone=5215592257050&text=Hey%2C%20i%20saw%20your%20launch%20on%20YC%20and%20would%20love%20to%20learn%20more%20about%20Hilos!) 😉",
        "url": "https://www.ycombinator.com/launches/H65-hilos-zapier-for-whatsapp",
        "votes": 53,
        "created_at": "2022-08-30T15:52:02.356Z"
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    "id": 24198,
    "name": "SalaryBox",
    "slug": "salarybox",
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      "SalaryBox",
      "SalaryBox (by Titanmind)"
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    "website": "https://salarybox.in/",
    "all_locations": "Gurugram, HR, India",
    "long_description": "Salarybox is a payroll app for small businesses in India. There are 63 Million small businesses in India and 90% still manage payroll manually. Today, business owners manage attendance on pen-paper; calculate salary on excel and pay employees in cash.\r\n\r\nUsing our App, the entire process can be performed with the click of a button. Our app reduces the time taken to process payroll from 5 days to 5 minutes. \r\n\r\nWe use Payroll data to build a credit profile of 300 Million+ blue-collar workers and improve access to financial products.\r\n",
    "one_liner": "Gusto for India",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1624478471,
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      "B2B",
      "AI"
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    "regions": [
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      "South Asia"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/salarybox",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/salarybox.json",
    "year_founded": 2021,
    "city": "Gurugram",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/salaryboxapp/",
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        "full_name": "Nikhil Goel",
        "title": "Founder",
        "founder_bio": "Co-Founder at SalaryBox",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikhil-goel/",
        "x_url": "https://twitter.com/nikhilgoel03",
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        "full_name": "Peeyush Goyal",
        "title": "Founder",
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        "title": "Senior Executive- Account Manager (B2B SaaS Sales)",
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    "id": 24204,
    "name": "Sentiyen",
    "slug": "sentiyen",
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    "website": "https://www.sentiyen.com",
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    "long_description": "At Sentiyen, we build GPT-based AI assistants that are trained on your content and enable your audience to get the answers they need 24 hours a day. We allow creators and businesses scale themselves to unlimited 1:1 conversations with potential customers, which helps increase revenue, reduce spend, and improve customer satisfaction.",
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    "launched_at": 1628001979,
    "tags": [
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      "AI",
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      "America / Canada",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/sentiyen.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/onplayhouse",
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    "fb_url": "https://www.facebook.com/OnPlayhouse/",
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        "user_id": 56693,
        "full_name": "Alex Perelman",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO at Sentiyen. \nPreviously Co-Founder and CTO at PeerStreet. \n\nWriting at alexperelman.com",
        "is_active": true,
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        "founder_bio": "Most recently as a Strategic Operations Manager at PeerStreet I launched a new loan product (long-term rental loans) and scaled the business line to north of $40MM/month. ",
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        "date": "Apr 13, 2022"
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        "title": "Playhouse is TikTok meets Zillow for the next generation of homeowners – TechCrunch",
        "url": "https://techcrunch.com/2022/04/05/playhouse-tiktok-zillow-homeowners-millennial-gen-z/",
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        "full_name": "Shri Sukhani",
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        "id": 75560,
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        "location": "IN / Remote (IN)",
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      {
        "id": 89908,
        "title": "HyperAgent: Open Source AI Browser Automation Framework",
        "tagline": "Automate the Web with LLMs",
        "body": "**TL;DR / Summary:**\n\nHyperagent is the AI-native browser automation framework - think Playwright supercharged with AI. No more brittle scripts, just powerful natural language commands.\n\nHyperAgent gives you:\n\n* 🤖 **AI Commands**: Simple APIs like [page.ai](http://page.ai)(), page.extract() and executeTask() for any AI automation\n* ⚡ **Fallback to Regular Playwright**: Use regular Playwright when you don’t need AI\n* 🥷 **Stealth Mode** – Avoid detection with built-in anti-bot patches\n* ☁️ **Cloud Ready** – Instantly scale to hundreds of sessions via [Hyperbrowser](https://app.hyperbrowser.ai/)\n* 🔌 **MCP Client** – Connect to external tools for full workflows (e.g. writing web data to Google Sheets)\n\n⭐ **Check it out and give it a star on Github!**\n\n<https://github.com/hyperbrowserai/HyperAgent>\\\n\\\n<https://www.youtube.com/watch?v=0bHC1i1aRhI>\\\n\\\n**Browser Automation Is Broken**\n\nWe built HyperAgent because **browser automation is broken.** We've all been there – spending hours writing scripts that shatter the moment a website changes. With AI agents becoming mainstream, we need automation that's as adaptive as they are, and doesn’t break every time a css class changes.\n\nWith HyperAgent, we’re adding AI to your existing toolkit, wrapping playwright in simple, natural language commands that just work. So you can have the best of both worlds - keep what you love about playwright and automate the rest with AI.\n\n**HyperAgent Quickstart**\n\nTo use HyperAgent on an existing page, you can simply call [**page.ai**](http://page.ai):\n\n```\nawait page.ai(\"Find a route from Miami to New Orleans, and provide the detailed route information.\")\n```\n\n![uploaded image](/media/?type=post&id=89908&key=user_uploads/556017/f6d70ca6-70cf-4dff-a206-9263341cd681)\n\nThis will go to google maps, enter in the origin and destination, then return the route back.\n\nTo extract information from a page, call **page.extract:**\n\n```\nawait page.extract(“find the major cities that this path goes through\")\n```\n\n![uploaded image](/media/?type=post&id=89908&key=user_uploads/556017/2ca8cdba-b651-44e4-af20-9bdc7d1e0393)\n\n**Built-in Stealth Mode**\n\nHyperAgent comes with patches for stealth browsing so you don’t have to worry about getting blocked. For maximum stealth, use Hyperbrowser - it’s free to start.\n\n**Infinitely Extensible with MCP servers**\n\nWant to give HyperAgent access to custom tools or integrate with other apps? HyperAgent is an MCP client and offers infinite extensibility with any MCP server.\n\n**Scale to 100s of Concurrent Agents**\n\nUsing HyperAgent on HyperBrowser you can scale to 100s of concurrent agent runs in seconds. No need to worry about the underlying infrastructure.\n\n# Try It Today\n\n🚀 GitHub: <https://github.com/hyperbrowserai/hyperagent>\n\n![uploaded image](/media/?type=post&id=89908&key=user_uploads/556017/6aa560db-eee6-4bb6-9a9c-38c51fadb03d)\n\n",
        "url": "https://www.ycombinator.com/launches/NO8-hyperagent-open-source-ai-browser-automation-framework",
        "votes": 19,
        "created_at": "2025-04-28T15:08:07.451Z"
      },
      {
        "id": 89020,
        "title": "Hyperpilot: AI Browser Agent Playground by Hyperbrowser",
        "tagline": "Experience the future of the Agentic Web for Free with HyperPilot",
        "body": "# **TL;DR / Summary:**\n\nAI Browser Agents are powerful but costly/hard to access. HyperPilot lets you try all the leading browser agents (CUA, Claude CU, Browser Use) for free. It's built on Hyperbrowser, our infra that lets you build agents with a free API key + 5 lines of code.\n\n<https://www.youtube.com/watch?v=1AbjFhf2T0k>\n\n**Why**\n\nAI browser agents like OpenAI's CUA and Anthropic's Claude Computer Use promise to revolutionize web automation. But getting hands-on experience is tough. Tools are limited, complex, or expensive – OpenAI's Operator preview costs $200/month just to try. How can you explore this future without breaking the bank?\n\n# **What**\n\nWe're launching [HyperPilot](http://pilot.hyperbrowser.ai): A free, easy-to-use playground where you can directly interact with and compare different AI browser agent models. See firsthand what they can really do.\n\nHyperPilot isn't just a demo; it’s a fully functional browser agent playground that runs entirely on [Hyperbrowser](https://hyperbrowser.ai) - our robust and scalable browser infrastructure designed specifically for AI agents.\n\n# **Who is this for? What should you do with it?**\n\n### **Everyone**\n\nTry it out for yourself. See what the future of Browser Agents actually holds. Check out Claude Computer Use, OpenAI’s CUA, and more. If you get inspired by what you see, we’d love to hear from you and help in any way we can! Reach out to us at [founders@hyperbrowser.ai](mailto:founders@hyperbrowser.ai)\n\n_(Hyperbrowser booking Kendrick Lamar concert tickets)_\n\n![uploaded image](/media/?type=post&id=89020&key=user_uploads/233736/c8e39379-b378-45a7-a97b-7caafc1df810)\n\n### **Developers**\n\nUse HyperPilot to rapidly prototype your agents, prompts, and automations. Everything you see in HyperPilot is powered by Hyperbrowser infrastructure along with OpenAI, Anthropic, and Google DeepMind’s models.\n\nWant to build this magic into your own apps? With Hyperbrowser, you can get started using OpenAI’s CUA, Anthropic’s Claude Computer Use, and more with just a free API key and 5 lines of code.\n\nCheck out the docs here:\n\n* [Claude Computer Use on Hyperbrowser](https://docs.hyperbrowser.ai/agents/claude-computer-use)\n* [OpenAI CUA on Hyperbrowser](https://docs.hyperbrowser.ai/agents/openai-cua)\n\nGet your free API key here: <https://hyperbrowser.ai>\n\n_(Claude computer use on Hyperbrowser in 5 lines of code)_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcqYG4wQaP9VTtLxvuXkLewpbDHxUCaWa2JU8rfhb9HYJBzLjuSViGyIoV-0jhpI8-w113eSxlPbYeQpQveCIKKX25CKV1DkgyCJ9DN1PTeoQf9cU1PX-T-QvuimhOskpAY1aIF?key=SWtClCBzkj7TSIatblqhIGY5)\n\n# **Our Asks**\n\n🆓 Try the leading AI browser agents for FREE on HyperPilot: [pilot.hyperbrowser.ai](http://pilot.hyperbrowser.ai)\\\n🛠️ Developers, get your free API key and start building: <https://hyperbrowser.ai>\\\n🔥 Share your favorite models and use cases with us on [LinkedIn](http://linkedin.com/company/hyperbrowser) and [X](http://x.com/hyperbrowser)",
        "url": "https://www.ycombinator.com/launches/N9o-hyperpilot-ai-browser-agent-playground-by-hyperbrowser",
        "votes": 78,
        "created_at": "2025-03-26T21:21:30.836Z"
      },
      {
        "id": 88849,
        "title": "Hyperbrowser MCP Server - Connecting AI to the Web 🌐 🤖",
        "tagline": "Connect LLMs to the web for research, coding, and automation",
        "body": "**TL;DR:**\n\nGive your LLMs / IDEs superpowers by connecting them to the web with Hyperbrowser's MCP. Unlock deep research, coding with live documentation, data extraction, and browser automation capabilities in 2 minutes. Install in seconds with `npx -y hyperbrowser-mcp` and use with Claude Desktop, Cursor, Windsurf, or your favorite MCP client.\n\n**ASK:** Building AI agents, developer tools, or research applications? Email us at [shri@hyperbrowser.ai](mailto:shri@hyperbrowser.ai) or [akshay@hyperbrowser.ai](mailto:akshay@hyperbrowser.ai)\n\n<https://www.youtube.com/watch?v=HUA4uPwcS8U>\n\n## ❌ The Problem\n\nLLMs are powerful but isolated. They can't:\n\n* Access real-time web information\n* Interact with websites to complete tasks\n* Generate code using up-to-date documentation (even OpenAI API calls are sometimes botched)\n* Extract structured data from multiple sources in real-time\n\n## 🛠️ Our Solution\n\nHyperbrowser MCP Server connects LLMs directly to the web through Anthropic's Model Context Protocol.\n\n`$ npx -y hyperbrowser-mcp`\n\n**Our MCP Server exposes 7 powerful tools:**\n\n\\- **Web data tools:** scrape_webpage, crawl_webpages, extract_structured_data, search_with_bing\n\n\\- **Browser automation:** browser_use_agent, openai_computer_use_agent, claude_computer_use_agent\n\nYour favorite MCP client can use the web data tools to surf the web for real-time information and data + use the browser automation tools to take actions like ordering a pizza or commenting on a GitHub pull request.\n\n## 💡 What You Can Build\n\n* **Deep Research in Cursor:** Claude, Cursor, and Windsurf can use Hyperbrowser's MCP server to do extremely deep research on any topic. No need for $200/mo ChatGPT Pro.\n* **Faster coding with AI:** Generate working code with current API docs, automate code reviews, build integrations\n* **Extract Data:** Convert web content to structured datasets, right in your claude app\n* **Automate Tasks:** Test applications, submit forms, automate UI tests\n\nCheck out this video of my cofounder vibe coding a whole game with Cursor and Hyperbrowser's MCP Server:\n\n<https://www.youtube.com/watch?v=wT89pY6zW4o>\n\n## 🙏 Our Asks\n\n* **Try it out!** Get a free API key at [app.hyperbrowser.ai](http://app.hyperbrowser.ai) and install in your clients (instructions here - [github.com/hyperbrowserai/mcp](http://github.com/hyperbrowserai/mcp))\n* **Share this post** with AI devs and researchers\n* **Connect with us** at [shri@hyperbrowser.ai](mailto:shri@hyperbrowser.ai) and [akshay@hyperbrowser.ai](mailto:akshay@hyperbrowser.ai)\n* **Follow us** at [x.com/hyperbrowser](http://x.com/hyperbrowser) and [linkedin.com/company/hyperbrowser](http://linkedin.com/company/hyperbrowser)\n* **Join our community** on Discord - <https://discord.gg/zsYzsgVRjh>\n\n![uploaded image](/media/?type=post&id=88849&key=user_uploads/233736/98d7ef01-89f4-475b-af5b-90679a5f3097)\n\n",
        "url": "https://www.ycombinator.com/launches/N73-hyperbrowser-mcp-server-connecting-ai-to-the-web",
        "votes": 93,
        "created_at": "2025-03-21T00:51:31.528Z"
      },
      {
        "id": 87074,
        "title": "Hyperbrowser - Web infrastructure for AI agents",
        "tagline": "AI’s Gateway to the Web",
        "body": "## TL;DR\n\nHyperbrowser is AI's gateway to the web. We make it dead simple to give your AI agents reliable, scalable scraping and browser automation capabilities without getting blocked or dealing with infra headaches. One API call to HB gives you a browser session with built-in stealth mode, proxy rotation, automatic CAPTCHA solving, session management, session recordings etc. Hyperbrowser is the only browser platform that lets your agents spin up 100s of concurrent browsers with sub-second start times.\n\n<https://www.youtube.com/watch?v=LZIPzjyEuGU>\n\n## Why is this important? And why now?\n\nThe web wasn't built for AI—but AI needs the web. In 2025, Agents are finally here. We've met so many companies building web-based agents who keep running into the same problems:\n\n* They keep getting blocked\n  * Websites detect and shut down automation, making it hard to scale AI-driven browsing.\n* Web automation at scale is a nightmare to manage\n  * Managing browser infrastructure is expensive, slow, and unreliable—especially when running thousands of concurrent sessions\n* High latency\n  * High latency creates a terrible user experience and leads to frustration\n\nThe future is AI-driven agents that browse, transact, and take action. Hyperbrowser enables Agents to reliably interact with the web.\n\n## Our Solution\n\n**Core Infrastructure**\n\n* Launch thousands of undetectable browsers in <1s\n* Built-in anti-detection & stealth mode - bypasses anti-bot systems and fingerprinting\n* Automated CAPTCHA solving\n* Ultra-low latency globally distributed infrastructure\n\n**Developer Experience**\n\n* Multiple levels of abstraction:\n\n```\n// High-level API for instant results\nconst data = await client.scrape.startAndWait({\n  url: \"https://example.com\",\n  solveCaptchas: true\n});\n\n// Or fine-grained control when you need it\nconst session = await client.sessions.create();\nconst browser = await connect({ \n  browserWSEndpoint: session.wsEndpoint \n});\n```\n\n* Full compatibility with Puppeteer, Playwright, and Selenium\n* Comprehensive session management and monitoring\n* Live stream APIs for real-time session data\n* Native integrations with LangChain, LlamaIndex, and more\n\n**Infrastructure & Scaling**\n\n* Instant browser session startup (<1s)\n* Scale from 1 to 1000s of concurrent sessions\n* Flexible pricing tiers to match your needs\n* No infrastructure management required\n\n## What People Are Building with Hyperbrowser\n\n* Web research agents automating sales and marketing research\n* AI agents booking flights and analyzing markets in real-time\n* Testing teams running 500+ concurrent browser sessions\n* Companies collecting training data for AI models at scale\n* Automated KYC/KYB processes with built-in compliance\n\n## Get Started\n\n* Try it free at <https://hyperbrowser.ai> \n* Join our Discord - <https://discord.com/invite/zsYzsgVRjh>\n* Follow us on X - [x.com/hyperbrowser](http://x.com/hyperbrowser)\n* Follow us on LinkedIn - [linkedin.com/company/hyperbrowser](http://linkedin.com/company/hyperbrowser)\n* Email us directly: [akshay@hyperbrowser.ai](mailto:akshay@hyperbrowser.ai) or [shri@hyperbrowser.ai](mailto:shri@hyperbrowser.ai)\n\n![uploaded image](/media/?type=post&id=87074&key=user_uploads/556017/8dc23770-3861-4ce3-8426-ef5be417d5d6)\n\n",
        "url": "https://www.ycombinator.com/launches/MeQ-hyperbrowser-web-infrastructure-for-ai-agents",
        "votes": 92,
        "created_at": "2025-01-23T02:44:54.888Z"
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    "long_description": "Keyri helps companies implement simple, secure anti-fraud and authentication solutions to delight users and keep bad actors off their platform. Keyri's mobile application and browser fingerprinting suite ties user identities to trusted devices, preventing fraudulent activity such as account opening, account takeovers, bot attacks, and referral/promo abuse. Keyri is able to establish an immutable device fingerprint for every device, alerting companies of any suspicious devices during sign up, log in, or subsequent authentication events.\r\n\r\nKeyri also offers a passwordless authentication suite that leverages Passkeys, WebAuthn, and QR codes to enable biometric authentication on all platforms and devices, providing a seamless user experience, strengthening multi-factor account security, and reducing reliance on other tedious and unsecure authentication methods.",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/keyri-auth",
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      {
        "user_id": 586106,
        "full_name": "Zain Azeem",
        "title": "Founder",
        "founder_bio": "Founder of Keyri (S21), an identity and security company. Exited to Signifyd, currently leading several anti-fraud analytics and engineering efforts there. Playing with drones, lasers, and local AI in my spare time. Previously worked in investment banking.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zain-azeem/",
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      {
        "user_id": 740730,
        "full_name": "Saif Malik",
        "title": "Founder",
        "founder_bio": "Saif has 14 years of experience in technology and finance globally, including over 10 years in strategic advisory focused on cybersecurity and infrastructure software. Prior to GCA, Saif built and ran multiple startups, and currently is an active investor and advisor to a number of companies in the security and fintech space. Saif received his BSc in Electrical Engineering, BA in Economics, and BA in Applied Mathematics from the University of Pennsylvania.",
        "is_active": true,
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      {
        "id": 66336,
        "title": "Keyri: QR login",
        "tagline": "Launching Keyri self-service - Add QR login to your webpage in as little as a day.",
        "body": "After over a year developing an enterprise-grade authentication system, we are excited to launch our self-service platform aimed at making developer lives easier. Our solution allows you to add QR authentication to your webpage in a few simple steps. With this, you can add a QR code next to your existing login methods or go full passwordless with biometric authentication for mobile and web.\n\n### **The Problem**\n\nMobile authentication is perfect because biometrics exist on all mobile devices. Simply open an app, pass biometrics, and you’re in, yet the lack of biometric availability on many computers makes web authentication an incredible pain. It’s tedious and unsecure. \n\nWhether login entails remembering a password, entering a code, clicking an email link, or using an authenticator app, each of these solutions creates more friction than biometrics while also leaving users with reduced security. \n\nI always have my phone with me, it’s next to my computer, why can’t I extend the trust that exists on mobile biometrics to web?\n\n### **Our Solution**\n\nExtend the trust that exists with mobile biometrics to web with Keyri QR authentication. Users simply scan a QR code on your login page with their smartphone, are automatically redirected to your mobile app, and pass biometrics within your app to log into your webpage. \n\nIt’s incredibly simple biometric-based authentication paired with our advanced device intelligence and risk analytics to create the most robust phishing-resistant MFA.\n\n<https://www.youtube.com/watch?v=nKSCteudaMo&t>\n\n### **Asks**\n\nCheck it out. We would love to get your feedback at [grant@keyri.com](mailto:grant@keyri.com) or [founders@keyri.com](mailto:founders@keyri.com). We have both free and paid plans available so you can get started right away.",
        "url": "https://www.ycombinator.com/launches/HFw-keyri-qr-login",
        "votes": 18,
        "created_at": "2022-09-27T14:28:14.880Z"
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    "name": "AlgoViral",
    "slug": "algoviral",
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        "tagline": "Meet Cloudthread, the radical cloud waste reduction platform for modern teams",
        "body": "Hey YC! We're thrilled to announce the launch of [**Cloudthread Savings Hub**](https://www.cloudthread.io/), brought to you by [**@Ilia**](https://www.cloudthread.io/), [**@Daniele**](https://www.linkedin.com/in/danielepackard/), and [**@Thomas**](https://www.linkedin.com/in/thomasyopes/)! 🎉\n\n# TL;DR\n\n**Cloudthread Savings Hub** empowers you to identify and eliminate wasted cloud spend, streamline optimization workflows, and **maximize savings**.\n\nDiscover optimization opportunities, prioritize based on expected savings and implementation complexity, gain detailed context, group and share through Jira and Slack, track progress, and analyze realized savings.\n\nSupports **AWS** and **GCP**.\n\n![uploaded image](/media/?type=post&id=71628&key=user_uploads/738583/733b2dec-ae3d-411f-af62-46349eb8bdc0)\n\n# **The Problem**\n\nDespite various tools, sources, and techniques to manage cloud costs, achieving actual savings remains challenging. Many tools are expensive and charge a percentage of your total bill.\n\n# **The Solution**\n\nCloudthread Savings Hub disrupts the market by offering a combination of product and services laser-focused on eliminating cloud waste. We aggregate cost savings insights from various sources (including native cloud provider data), enrich it with valuable context, and facilitate workflow creation to effectively implement recommendations. We charge a **flat fee** for our product and a percentage of savings for service engagements.\n\n# **How It Works**\n\n<https://youtu.be/0j12fiXDgYc>\n\n### **💰 Special Deal + Ask**\n\n💰 For the next two weeks, find over $500 in monthly AWS savings with Cloudthread’s Savings Hub or receive a **$100 Amazon Gift Card** 🎁\n\n[**www.cloudthread.io/aws-save-or-get-paid**](https://www.cloudthread.io/aws-save-or-get-paid)\n\nJoin us in revolutionizing cloud cost management with Cloudthread Savings Hub!\n\n# **About Us**\n\nAt [**@Cloudthread**](https://bookface.ycombinator.com/company/24348), we're committed to making cloud cost analytics accessible for businesses of all sizes. Our platform enables engineering teams to lower cloud costs easily and effectively. We've helped enterprises with 8-figure cloud bills, high-growth startups, and everything in between achieve cloud cost efficiency.\n\nA few months ago, [**we launched our cloud cost saving services on Bookface**](https://bookface.ycombinator.com/posts/70004) for the YC community. Since then, we've helped companies reduce their AWS spend by **10-50%**!\n\nOur team has been working in cloud cost management since **2014**. [**@Ilia Semenov**](https://bookface.ycombinator.com/user/738583) managed cloud costs at Electronic Arts before leading Lyft's cloud cost management efforts ahead of their IPO, resulting in a **40% reduction** in AWS spend ([**case study**](https://aws.amazon.com/solutions/case-studies/lyft-cost-management/) and [**AWS Re:Invent talk**](https://youtu.be/ChupgIbZr5Q?t=2479)). Through Cloudthread, we've tackled cloud cost challenges across numerous AWS services.",
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    "website": "https://scispot.io",
    "all_locations": "Kitchener, ON, Canada",
    "long_description": "Scispot is the best tech stack for biotech. It's the first-ever toolkit that lets you tailor it to your needs – no coding required. Think of it as a super combo of ELN + LIMS + Integrations + Analytics. You can set it up using a user-friendly interface (GUI) or by entering commands (CLI). It's about making your digital biotech dreams a reality. You can design your data infrastructure, automate your workflows and integrations and make your data ready for machine learning and artificial intelligence – all on one spot. Scispot even provides pre-made blueprints for major experiments, teamwork, and data management.\r\n\r\nRequest a demo to see Scispot in action here: https://calendly.com/scispot/30min\r\n",
    "one_liner": "The Best Data Infrastructure for Biotechs",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1627146461,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
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    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/scispot-io",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/scispot-io.json",
    "year_founded": 2020,
    "city": "Kitchener",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/scispot-io",
    "x_url": "https://twitter.com/scispot_io",
    "fb_url": "https://www.facebook.com/Scispot",
    "cb_url": "https://www.crunchbase.com/organization/scispot-io",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/996a065b9b830e170e3a68e207d6245f28dc54b8.png",
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 453596,
        "full_name": "Guru Singh",
        "title": "Founder",
        "founder_bio": "I am a biotech researcher by training but an entrepreneur at heart. This combination of scientific and business experience motivated me to start and help grow impactful ventures in the last decade. I founded a few biotech communities, a cancer foundation & biotech trade association in India, and I helped scale life science startups in US and EU such as Scientist.com, Science Exchange, and LabTwin. I tapped into all the experience I gained in biotech, SaaS, and entrepreneurship to create Scispot.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/iamguru/",
        "x_url": "https://twitter.com/iamgurusingh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/612e4a1d62a5ae0379dc9e85f91118d0da3d7e8f.jpg"
      },
      {
        "user_id": 697526,
        "full_name": "Satya Singh",
        "title": "Founder",
        "founder_bio": "Co-founder and Chief Product & Operating officer of Scispot.io. I am an engineer turned Product Manager. My experience in tech taught me the importance of product mindset - starting from the customer and working backwards. Before starting Scispot.io, I worked for Hotels.com and Expedia building platforms. My experience in product UX, growth marketing, and platform products brought me to the life science industry that will change human lives for the better. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/satyaravisingh/",
        "x_url": "https://twitter.com/productfella",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58a4c2ba1257bb185570c8ac32d53d7e9043e6e5.jpg"
      }
    ],
    "jobs": [
      {
        "id": 97371,
        "title": "Full Stack AI Engineer",
        "url": "https://www.ycombinator.com/companies/scispot-io/jobs/SuXlbFO-full-stack-ai-engineer",
        "location": "US / GB / DE / ES / PL / NL / IN / Remote (US; GB; DE; ES; PL; NL; IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $120K",
        "equity_range": "0.10%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Kubernetes",
          "Python",
          "React",
          "Elasticsearch",
          "RDS/Aurora",
          "LLMs",
          "AI Agents"
        ]
      },
      {
        "id": 97376,
        "title": "Senior Backend & Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/scispot-io/jobs/QX1c0xf-senior-backend-infrastructure-engineer",
        "location": "US / ES / DE / GB / PL / IN / CA / Remote (US; ES; DE; GB; PL; IN; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $175K",
        "equity_range": "0.10%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Microsoft Azure",
          "Kubernetes",
          "PostgreSQL",
          "Python",
          "RabbitMQ",
          "Elasticsearch",
          "Jenkins",
          "Software Security",
          "Microservices",
          "Terraform",
          "LLMs",
          "AI Agents"
        ]
      }
    ],
    "news": [
      {
        "title": "Scispot closes $8-million USD Series A to become the operating layer for life sciences labs | BetaKit",
        "url": "https://betakit.com/scispot-closes-8-million-usd-series-a-to-become-the-operating-layer-for-life-sciences-labs/",
        "date": "Jun 04, 2026"
      },
      {
        "title": "Scispot Launches Scibot™: An AI Agent on Its Lab Operating System",
        "url": "https://www.prweb.com/releases/scispot-launches-scibot-an-ai-agent-on-its-lab-operating-system-302164534.html",
        "date": "Jun 05, 2024"
      },
      {
        "title": "From Expedia to Scispot: A startup founder’s journey to build data infrastructure for biotech – GeekWire",
        "url": "https://www.geekwire.com/2024/from-expedia-to-scispot-a-startup-founders-journey-to-build-data-infrastructure-for-biotech/",
        "date": "May 30, 2024"
      },
      {
        "title": "Scispot Introduces Lab Operating System and GLUE on AWS Marketplace",
        "url": "https://www.prweb.com/releases/scispot-introduces-lab-operating-system-and-glue-on-aws-marketplace-302038310.html",
        "date": "Jan 18, 2024"
      },
      {
        "title": "Indee Labs adopts Scispot to operate as a digital biotech company - Communitech",
        "url": "https://communitech.ca/technews/indee-labs-adopts-scispot-to-operate-as-a-digital-biotech-company.html",
        "date": "May 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 107928,
        "title": "Scispot Smart Actions",
        "tagline": "We stopped connecting instruments and started letting them make decisions",
        "body": "![uploaded image](/media/?type=post&id=107928&key=user_uploads/697526/3baf4e61-60db-413e-a024-a596c1cf70d1)\n\nAt 11:40pm, an analyst at a biotech we work with was staring at a plate of 96 ELISpot wells, trying to figure out why three \"positive\" results didn't match the raw counts. She'd already re-typed the spot counts into a spreadsheet once. She was about to do it again, by hand, to double-check herself because the instrument doesn't know what a \"positive\" is. It just counts spots. Someone has to turn that count into a decision, and that someone was her, at midnight, for the fourth night that week.\n\nThat's not a story about one analyst. That's the entire industry's relationship with lab data, and it hasn't meaningfully changed in a decade.\n\n## **The part everyone stops short of**\n\nMost labs eventually solve the easy problem: getting a file off an instrument and into some kind of system of record. That's plumbing, and plumbing gets built. What almost nobody automates is the step after deciding whether a result is even valid.\n\nDoes it clear the CV threshold?\n\nIs this well too confluent to trust (TNTC)?\n\nWhat's the right baseline to compare against? Is this a Positive, a Negative, or a QC Fail?\n\nThat judgment still lives in someone's head and someone's spreadsheet, redone by hand, every single run.\n\nWe think that's the real bottleneck in lab data - not moving files around, but making trustworthy calls on what's inside them, fast enough to keep up with how fast science actually moves.\n\n## **The infrastructure that makes this possible: GLUE**\n\nNone of this works without a real connectivity layer underneath it, so we built one. [Scispot GLUE](https://www.scispot.com/glue) is our API-first integration backbone with hundreds of connectors, native HL7/ASTM support, and webhooks — that plugs into instruments, LIMS-like entities, and external systems without custom code for every new device.\n\nGLUE is the nervous system; Smart Actions are the brain sitting on top of it, deciding what every signal actually means.\n\nThat distinction matters. A lot of \"lab automation\" stops at GLUE's job: get the file, map the fields, store the record. We built Smart Actions specifically because moving the data was never the finish line — it was the prerequisite.\n\n## **What we actually built**\n\n[Smart Actions](https://www.scispot.com/smart-actions) are AI-agent workflows inside Scispot that don't stop at moving data - they interpret it.\n\nA Smart Action parses a raw instrument export, maps every well to the right sample and treatment condition, applies your lab's QC rules automatically (CV thresholds, LLOQ cutoffs, TNTC handling), computes the real statistics — averages, fold change against baseline — and writes the _decision_, not just the number, straight into your Labsheets.\n\nThe ELISpot plate our analyst stayed up for?\n\nToday that run finishes, and by the time she opens her laptop, the QC-gated summary is already sitting in the [Scispot Labsheet](https://www.scispot.com/labsheets) - Positive, Negative, Indeterminate, or QC Fail, each one traceable back to exactly why. Not a spreadsheet she has to trust blindly. A decision she can audit in one click.\n\n## **Why this is a bigger bet than \"faster data transport\"**\n\nMoving data fast, which is what GLUE gives you, is table stakes. The hard, valuable problem is the judgment layer on top of it is this result real, does it pass QC, what does it mean for the next experiment. That's what Smart Actions own, permanently, for every run, not just the one someone remembered to check carefully.\n\nSmart Actions are composable, build one for ELISpot, reuse the same pattern for a plate-reader screen routing hits into follow-up assays, chain them together across protocols, all running on top of GLUE's connectivity. And they're callable by [Scibot Omega](https://www.scispot.com/product-releases/scibot-omega), our AI orchestrator, so a scientist can just say \"clean this run, QC it, summarize it for the sponsor\" and the right Smart Actions execute end to end.\n\n## **Why we're telling you this now**\n\nWe've launched Scispot on YC before as a platform, and GLUE as our connectivity layer.\n\nThis time we wanted to talk about the layer built on top of it that our customers actually thank us for - the layer that means their best analyst stops being a human QC script running at midnight, and starts being a scientist again.\n\nIf you've ever stared at a spreadsheet at 11pm trying to figure out why a result doesn't add up, we built this for you.\n\n👉 **scispot.com/demo**\n\n<https://www.youtube.com/watch?v=_BFoFo_0zHk>",
        "url": "https://www.ycombinator.com/launches/S4m-scispot-smart-actions",
        "votes": 14,
        "created_at": "2026-07-27T23:39:25.957Z"
      },
      {
        "id": 101995,
        "title": "Scispot MCP 🧠 Run Claude inside your governed lifescience lab data",
        "tagline": "27 MCP tools that let Claude, Cursor, and ChatGPT act on samples, lineage, and lab workflows with full RBAC and audit.",
        "body": "![uploaded image](/media/?type=post&id=101995&key=user_uploads/697526/0294af99-be72-4dcf-8f4f-4ff0d65f9e6f)\n\n📝 **TL;DR**\n\nScispot is the governed operating system for sample-centric labs. We just shipped an MCP server with 27 tools so Claude, Cursor, Claude Code, and ChatGPT can act directly on your live lab data with the same role permissions and audit trail as a human in the UI.\n\nHey everyone 👋\n\nI'm Satya, co-founder of [**Scispot**](https://scispot.com/). Today we're launching the **Scispot MCP Server**, the first MCP server built for the governed lab operating system that scaling biotech, diagnostics, and regulated CROs run on.\n\n🎯 **The problem**\n\nLabs that are growing past 20–500 people don't have an \"ELN or LIMS problem\"; they have a fragmentation problem. Samples live in one system, results in another, instruments in a third, methods in Google Docs, and the answer to \"which lot did this come from\" lives in a person's head.\n\nThat fragmentation has three consequences AI makes worse, not better:\n\n* **Shadow workflows.** Scientists copy sample data into Claude, ask it to find anomalies, paste the answer back, and (hopefully) update inventory. QA can't audit it.\n* **Governance leaks.** A general-purpose agent has no idea a CRO coordinator shouldn't see another sponsor's samples, or that a clinical reviewer's role limits what they can edit.\n* **AI initiatives stall.** Leadership wants AI outcomes. The data foundation isn't ready. CAP/CLIA and GxP teams say no until it is.\n\n📈 **Scispot's solution**\n\nWe built Scispot as the **governed operating system for sample-centric labs**: sample-first data model, RBAC, audit, approvals, and a single API surface across every workflow a lab actually runs. The MCP server makes that operating system addressable by any agent:\n\n* **27 tools** spanning sample search and lineage, structured tables, methods and protocols, freezer and inventory state, lab flows, and image retrieval — all consistent under one auth and audit model.\n* **RBAC at the tool layer.** Every call resolves the calling user's role. A CRO coordinator can't see another sponsor's samples through the agent. **This is what unblocks regulated buyers.**\n* **Audit + approvals inherited.** Every MCP action lands in the same activity stream as a UI action, with actor, timestamp, and diff. Sensitive writes route through the same approval steps. The agent isn't a back door for CAP/CLIA or GxP.\n* **OAuth 2.0 + PKCE** on top of a Scispot. Compatible with Claude Desktop, Claude Code, Claude Web, Perplexity, Cursor, and ChatGPT.\n* **One system, not five.** Most customers retire 3–5 disconnected tools (LIMS, ELN, freezer, inventory, spreadsheets) on the way in. MCP gets one auth model, not five integrations.\n\n🚀 **Traction**\n\n* **Live in production** with 100+ labs\n* **27 production tools** shipped, with usage metering\n\n🙋 **What customers are doing with it**\n\n* **pharma R&amp;D:** retiring a GraphPad + Claude + manual reporting stack. Their go-to prompt: _\"summarize all experiments linked to samples where Reagent Lot is XX-007.\"_ Answered against governed data, not a stale CSV.\n* **process development labs (e.g. fermentation) :** asking Claude to walk sample lineage and storage state: \"which box, which rack, which plate, which lineage\" without learning the Scispot menu hierarchy.\n* **translational teams:** wiring LaTeX-based methods writing to live experiments, so the methods section assembles itself from the actual run record. The next reader is a sponsor or regulator.\n* **AI/ML &amp; Informatics teams:** treating MCP as the programmatic spine of an ML pipeline instead of maintaining yet another export script. Sample-first data model, no separate warehouse to keep in sync.\n\n📚 **Backstory**\n\nWe started Scispot because we watched scaling biotechs, molecular diagnostics labs, and regulated CROs lose weeks to fragmentation; every minute saved on the bench got eaten back at the spreadsheet. When MCP shipped, the standard finally let us put AI inside the governed system instead of beside it. We shipped MCP to the first cohort in March 2026.\n\n🚀 **Our ask**\n\n1. **If you run a sample-centric lab** — scaling biotech, molecular diagnostics, or regulated CRO — try the MCP server. Beta opt-in: [**survey.scispot.io/mcp**](https://survey.scispot.io/mcp)\n2. **Intros welcome** to Heads of Lab Ops, Informatics, or QA at labs feeling IND / CAP-CLIA / sponsor pressure. Email me directly: [**satya@scispot.io**](mailto:satya@scispot.io).\n\n   **See it in context:** [**top 5 use cases**](https://www.scispot.com/blog/top-5-scispot-mcp-use-cases) · [**press release**](https://www.prweb.com/releases/scispot-launches-mcp-server-to-bring-governed-ai-actions-to-live-lab-workflows-302719006.html).",
        "url": "https://www.ycombinator.com/launches/QX5-scispot-mcp-run-claude-inside-your-governed-lifescience-lab-data",
        "votes": 15,
        "created_at": "2026-05-26T21:48:47.952Z"
      },
      {
        "id": 95334,
        "title": "GLUE Robo: Lab automation layer for robots & instruments",
        "tagline": "An event‑driven automation layer for high‑throughput life science labs",
        "body": "Hey everyone! This is [Satya](https://www.linkedin.com/in/satyaravisingh/) & [Guru](https://www.linkedin.com/in/iamguru/) from Scispot. We just launched [Scispot GLUE Robo](https://www.scispot.com/blog/glue-robo-automation-transforming-lab-efficiency) - lab automation layer that seamlessly connects high throughput plate movements with Scispot LIMS.\n\nTL;DR: GLUE Robo connects lab instruments, robots, and data systems so results flow into [Scispot labsheets](https://www.scispot.com/labsheets) and databases in real time. No manual copy‑paste. No brittle scripts. Researchers get cleaner data. Heads of Data get lineage and control. Teams get time back.\n\n🚨**The problem:**\n\nModern labs live between hardware, software, and complex protocols. Manual steps slow them down. Data gets siloed. Errors creep in.\n\nTake an example of a high throughput lab tracking plate movements.\n\nHigh throughput plate movements refers to the challenge of verifying and tracking the large volume of rapid, automated operations occurring in laboratory environments. When plates are moved frequently and at scale, it becomes difficult to maintain a consistently accurate record of each transaction, ensure none are missed or duplicated, and verify that every action is valid for downstream lab and data processes.\n\n💡**The solution:**\n\nhttps://www.youtube.com/watch?v=osUdOo5COJQ\n\nScispot webhooks (offered by GLUE Robo) are essential in this context because they capture real-time, reliable updates for every eligible system call from the robot to Scispot. This enables seamless integration, error-catching, and audibility across platforms, ensuring data integrity and full traceability as throughput increases. Here are the key highlights of Glue Robo:\n\n* **Event‑Driven Automation.** GLUE Robo listens for lab events—plate movement, data capture, file drops, status changes—and reacts instantly.\n* **Instrument‑Agnostic.** Works with leading robots and instruments (e.g., Automata, Hamilton, and more). Connect once. Scale as you add hardware.\n* **No‑Code Workflows.** Build rules that match protocols, QC gates, or regulatory steps. Reconfigure as methods evolve.\n* **Auditable by Default.** Every action is logged. You get traceability, reproducibility, and peace of mind.\n* **Built for Throughput.** Designed to keep pace with overnight screens and multi‑run genomics pipelines.\n\n⚡**Impact:**\\\nScispot provides high throughput labs with real-time data synchronization, automation, and auditability for operations, ensuring accurate tracking and seamless integration across lab systems.\n\n**🤝 Our Ask:**\n\nWe’re looking to connect with high throughput labs who currently leverage one or all of the following at scale:\n\n* Automata LINQ\n* Hamilton STAR\n* qPCR systems\n* Plate readers\n\nScispot provides webhooks to seamlessly capture events from such systems so you can connect your computational workflows with wet lab.\n\n![uploaded image](/media/?type=post&id=95334&key=user_uploads/697526/5a103264-9e5d-46d5-992e-697f2b67b700)\n\n",
        "url": "https://www.ycombinator.com/launches/One-glue-robo-lab-automation-layer-for-robots-instruments",
        "votes": 24,
        "created_at": "2025-11-11T14:56:11.717Z"
      },
      {
        "id": 85309,
        "title": "Plato - Scispot's multi-well plate agent",
        "tagline": "Connect your plate readers, Tecan, Hamilton using Scispot’s AI agent.",
        "body": "Scispot is launching the world’s first agent for multi-well plates called Plato.\n\n**Plato has the wisdom of plate automation not philosophy.**\n\nA multi-well plate is basically a lab tool with multiple tiny \"wells\" or slots in one single tray. Each well can hold a separate sample, letting you run lots of tests at once—ideal for experiments like drug screening or diagnostics. It’s like having a mini grid of test tubes all in one place, so you can work faster and more efficiently.\n\n**Plato is the agent that helps wet lab scientists design, load, integrate and run their multi-well plates using natural language.** It understands the input and output from various plate readers such as **BMG Clariostar** for your assays. It also seamlessly integrates with **Tecan** and **Hamilton** for dilution.\n\nWhile designing your experiments, scientists can use Plato to create controls— standards for their assays— using AI.\n\n![uploaded image](/media/?type=post&id=85309&key=user_uploads/697526/7c482e2c-a2a5-4cb1-b775-4f670c58c10c)\n\n### **Problem**\n\nA wet lab scientist typically follows the journey of\n\n* Designing a plate in excel\n* Enter sample details such as IDs, concentration, standards and controls\n* Prepare samples in plate according to layout and execute experiment\n* Get the readings\n* Add the raw data back to their ELN or LIMS system\n* Cross-check data for errors and manually correct if needed\n\nThis process is not only time consuming, but labor intensive and leaves room for a lot of errors. It also doesn’t create a complete chain of custody for your plate data. You end up compromising your data integrity.\n\n**In a high throughput lab you cannot follow this process for 100s of plates!**\n\n![uploaded image](/media/?type=post&id=85309&key=user_uploads/697526/e90e3342-c5e5-4eb7-b5bb-ad4ce911a5ab)\n\n### **Solution**\n\nWith Scispot’s AI-powered Plato, the process finally shifts to where it should be: automated. Plate configurations happen at the click of a button, data flows directly into Scispot (ELN/LIMS), and error-checking is automatic. The time saved here isn’t just convenient; it maintains the complete chain of custody. You can also create plates in bulk using Plato while automating the logistics of moving, and transferring data.\n\nOnce you have this data in one place called Scispot Labsheets (Scispot data lake), you can then easily run regression or analytics.\n\nAs a result, you save a LOT of time while being compliant with 21 CFR Part 11 compliance controls.\n\n<https://youtu.be/4Y009dnwg8Q>\n\n### **Our Ask**\n\n* If you run a Biotech lab, join us for the official launch of Plato this Thursday, 7th November 2024. More details here: <https://lu.ma/uj7djz2b?tk=i4NxSp>\n* If you are a YC bio company, you get Plato for free along with 50% off on your first year with Scispot YC deal - <https://www.scispot.com/yc-offer>",
        "url": "https://www.ycombinator.com/launches/MBx-plato-scispot-s-multi-well-plate-agent",
        "votes": 32,
        "created_at": "2024-11-05T23:22:50.545Z"
      },
      {
        "id": 81624,
        "title": "🧪+🤖 Scibot - AI lab assistant to accelerate your biotech R&D",
        "tagline": "Use natural language to design experiments, get at-the-bench assistance, search, discover, and analyze data.",
        "body": "**tl;dr:** Introducing Scibot, your AI Lab Assistant that supercharges biotech R&D. Simplify experiment design, get real-time insights, and streamline data management—all with natural language commands.\n\n---\n\n### Problems Scientists Face:\n\n* Managing and integrating vast amounts of structured and unstructured lab data.\n* Spending too much time on repetitive data entry and analysis tasks.\n* Needing quick, reliable assistance while conducting experiments at the bench.\n* Difficulty in visualizing complex data relationships and generating actionable insights.\n\nDisconnected lab data is stored across disparate systems, and it is super hard to make it AI-ready.\n\n### Solution: Scibot\n\n**Scibot - Your AI Lab Assistant to Accelerate Biotech R&D**\n\nFour years ago, we launched Scispot, the first ELN + LIMS alternative—a modern data lake that integrates both structured data (experiment metadata, instrument results) and unstructured data (lab notes, protocol deviations). Our goal: create the ultimate Lab Operating System (LOS) for biotech companies.\n\nNow, we’re taking it a step further with Scibot. Leveraging generative AI trained on scientific data and workflows, Scibot enhances your lab operations by:\n\n**1\\. Create Your Unified R&D Data Model Using Labsheets:** Standardize your data model based on workflows and data types. Labsheets link entities through relationships, making it easy to manage and visualize data. For instance:\n\n* Create a Labsheet to store and visualize LCMS data.\n* Manage cell line stocks with an inventory Labsheet.\n* Convert your notebook entries into structured data\n\n**2\\. Talk to Your Data:** Interact with your data using natural language. Ask Scibot to summarize key findings or perform complex analyses with simple commands. For example:\n\n* \"Summarize the key findings from samples submitted by customer ABC Biotech”\n* \"Display the heat map for ADME data to identify the best hit molecules based on solubility and permeability.\"\n* \"Summarize the key ADME properties of the top-performing compounds from my recent experiments.\"\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/025c395c-f3ab-43bc-9570-f452b571307c)\n\n**3\\. Get At-the-Bench Assistance:** Scibot offers one-click support for capturing protocol deviations, checking inventory status, tracking samples, and performing calculations—all while your hands and eyes are busy with experiments.\n\n**4\\. Generate Real-Time Insights:** Get actionable insights to optimize experiments. Ask Scibot for recommendations based on historical data or to identify trends and patterns. For example:\n\n* \"What are the recommended parameters for improving the yield in my protein expression experiments?\"\n* \"Show trends in gene expression levels from my RNA-seq data over the past six months.\"\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/4704f337-e098-41af-9770-eb831e984f45)\n\nThe real-time insights can be saved as “widgets” so you can create your own dashboard.\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/c50fd70a-dcc7-40ac-8d2f-380f39193255)\n\n**5\\. Convert Your Google Sheets, Excel, PDFs, and Docs to Notebook Entries and Registries:** Scibot integrates various data formats into your ELN and LIMS, converting data from Google Sheets, Excel files, PDFs, and Word documents into Labsheets. This centralizes and streamlines data management.\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/9f113306-0449-4812-b577-4d937ac7105f)\n\n**6\\. Maintain your security and privacy while using Scispot AI (Scibot)**\n\n* Customer data never leaves your Scispot instance.\n* We do not train any models on customer data.\n* Scispot AI upholds all enterprise-grade security and compliance requirements while fulfilling SOC 2 and HIPAA controls.\n* Customers can choose to switch off Scispot AI functionalities in their account if they prefer not to use them.\n\n### Ask:\n\n* Join our launch event today - <https://lu.ma/1r5afh0e>\n* We’d love to chat if you use any ELN or LIMS system or want to explore new ELN or LIMS for your lab! Reach out at [team@scispot.io](mailto:team@scispot.io) or book a demo directly [here](https://www.scispot.com/demo).\n* We’d also appreciate sharing our launch and following us on [LinkedIn](https://www.linkedin.com/company/scispot-com).",
        "url": "https://www.ycombinator.com/launches/LEW-scibot-ai-lab-assistant-to-accelerate-your-biotech-r-d",
        "votes": 39,
        "created_at": "2024-06-20T14:35:52.031Z"
      },
      {
        "id": 74769,
        "title": "🚀 Scispot's Lab-as-Code solution: Turn your biotech into an AI powerhouse",
        "tagline": "Think of it as Zapier + Snowflake of biotech",
        "body": "Hello YC Community,\n\nWe're thrilled to introduce [**Scispot’s Lab-as-Code solution**](https://www.scispot.com/), the best data infrastructure for biotech. Think of it as the Zapier + Snowflake of biotech.\n\n🔗 **Three Pillars of Scispot** 🔗\n\n1️⃣ **Self-Serve Integrations**\n\n* **Problem**: Labs struggle with integrating data from platforms and lab instruments, causing inefficiencies.\n* **Solution**: Integrate with Benchling, Snowflake, LabVantage, Veeva, and lab instruments.\n* **Real Example**: A client integrated Snowflake, Benchling, and mass spectrometer data, cutting data prep time by 50%.\n\n![uploaded image](/media/?type=post&id=74769&key=user_uploads/453596/078d26ca-a01d-4978-ac6d-0b6af72167d9)\n\n2️⃣ **Data Readiness for AI**\n\n* **Problem**: Raw data is messy, hindering effective AI applications.\n* **Solution**: Staging lakehouse with embedded Jupyter Notebook and R Studio for data cleaning and transformation.\n* **Real Example**: A client standardized genomic data, boosting predictive model accuracy by 20%.\n\n![uploaded image](/media/?type=post&id=74769&key=user_uploads/453596/2f23ec82-b0aa-48d7-8af7-b9429f9200e0)\n\n3️⃣ **API-First ELN & LIMS**\n\n* **Problem**: Traditional ELN and LIMS don't meet modern computational demands.\n* **Solution**: Our [API-First](https://docs.scispot.com/) ELN & LIMS add-on is designed for computational teams.\n* **Real Example**: A genomics lab automated 80% of workflows using our add-on.\n\n![uploaded image](/media/?type=post&id=74769&key=user_uploads/453596/151f63ab-ea24-4fcc-86e0-a47f07719880)\n\nJoin us in revolutionizing biotech with AI. Let's make science faster, smarter, and more efficient. \\\n\\\nYou can **book a free consultation call **[**here**](https://www.scispot.com/demo)**.**",
        "url": "https://www.ycombinator.com/launches/JRx-scispot-s-lab-as-code-solution-turn-your-biotech-into-an-ai-powerhouse",
        "votes": 57,
        "created_at": "2023-09-11T22:33:50.203Z"
      },
      {
        "id": 70891,
        "title": "Scispot GLUE - Stitch your biotech R&D data",
        "tagline": "Say goodbye to data graveyards and hello to faster R&D progress with GLUE!",
        "body": "**Tl;dr:** Scispot GLUE helps Biotech R&D labs extract data from Benchling, Notion, and Airtable, and easily transform it for auditing, visualization, and machine learning.  Scispot started as the world’s most configurable Electronic Lab Notebook (ELN) and Lab Information Management System (LIMS) two years ago for modern biotechs. As we acquired more customers, we learnt that many of them wanted to stitch their data with existing legacy ELN + LIMS, so we decided to launch an extension called Scispot GLUE to sit on top of your existing lab informatics systems and augment them. **Check out more** [**here.**](https://www.scispot.com/scispot-glue)\n\n**Hi everyone, we are Scispotters, the team behind** [**Scispot GLUE!**](https://www.scispot.com/scispot-glue)\n\n![uploaded image](/media/?type=post&id=70891&key=user_uploads/697526/610d10ec-be64-440c-8046-56f005fe485a)\n\nWe’re a team of molecular biologists, computational biologists, data engineers, bench scientists, and biomedical engineers working to solve the data swamp challenge.\n\n**In Biotech R&D, 80% of the generated metadata and data never get fully analyzed or used.** \n\n* Biotech R&D labs generate vast amounts of metadata and data from various sources, including instruments\n* With the current ELN + LIMS landscape, it becomes increasingly difficult to manage, access, and derive insights from data\n* As a result, there is a disconnect between wet lab and computational workflows\n\nScispot GLUE is built to solve this.\n\n![uploaded image](/media/?type=post&id=70891&key=user_uploads/697526/366fb516-a78b-4b51-951f-1ba54060e2fc)\n\n![uploaded image](/media/?type=post&id=70891&key=user_uploads/697526/32f45378-ce40-470b-b2dc-8618457afa66)\n\nIf this resonates with you, [Schedule a demo](https://calendly.com/scispot/30min?back=1&%3Bmonth=2021-11&month=2023-04) of Scispot GLUE\n\n**Our ask 🙏**\n\n1. Share this post! Many bio companies are facing the data swamp challenge where they struggle to connect their wet lab and computational workflows\n2. Connect us with any mid-size biotech companies who have their own ELN and LIMS but want to get the most out of their data",
        "url": "https://www.ycombinator.com/launches/IRP-scispot-glue-stitch-your-biotech-r-d-data",
        "votes": 47,
        "created_at": "2023-04-11T21:44:35.970Z"
      }
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    "website": "https://infiuss.com",
    "all_locations": "San Francisco, CA, USA; LA, Nigeria",
    "long_description": "We are building the world's first community of patients eager to contribute to and advance  medical research. Our patient community platform offers health management, patient support and patient health data aggregation. We offer researcher's and life science companies with the opportunity to connect with these patients for their medical research needs. They recruit real patients for clinical trials, for bio specimens sourcing and to obtaining real world patient data.",
    "one_liner": "2 sided Marketplace for accelerating medical research",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/infiuss-health",
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    "year_founded": 2021,
    "city": "San Francisco",
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        "full_name": "Melissa Bime",
        "title": "Founder",
        "founder_bio": "Melissa Bime is the co-founder of Infiuss Health. She is a  RN, and has got to experience first hand the challenges patients faced across diverse health care settings in Africa. \nAfter  completing Nursing school, Melissa started INFIUSS,  a startup that connects life science  companies to patients for clinical research and clinical trials in Africa to help ensure that Africa’s Diverse population is included in global research studies and clinical trials.\n",
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    "id": 24378,
    "name": "Mergent",
    "slug": "mergent",
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    "website": "https://mergent.co",
    "all_locations": "Austin, TX, USA; Remote",
    "long_description": "Mergent is a task scheduling API that makes it super easy for developers to schedule and manage background tasks like notifications, data processing, and third-party integrations.\r\n\r\nWe provide a simple well-documented API that any developer can instantly start using straight from our website.",
    "one_liner": "Incredibly reliable background task queues and cron jobs",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1626707067,
    "tags": [
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
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    "regions": [
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      "Fully Remote"
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    "stage": "Early",
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    "year_founded": 2021,
    "city": "Austin",
    "country": "US",
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        "full_name": "James Martinez",
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        "founder_bio": "Founder of Mergent (https://mergent.co)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jamescmartinez",
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    "id": 24379,
    "name": "Formance",
    "slug": "formance",
    "former_names": [
      "Goldilocks",
      "Numary (ex Goldilocks)",
      "Numary",
      "Formance (fka Numary)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2bd98c7cb8de435d88c71bda24056e4db21bc5f.png",
    "website": "https://formance.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Formance Platform is building open-source infrastructure for the next wave of financial services. It enables fintech engineers to build and operate complex flow of funds, weaving together multiple payment rails with internal ledger accounts.\r\n\r\ngithub.com/formancehq/stack",
    "one_liner": "Open Source Infrastructure for the Financial Internet",
    "team_size": 33,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1626469942,
    "tags": [
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      "Fintech",
      "Payments",
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      "Open Source"
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    "regions": [
      "France",
      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/formance",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/formance.json",
    "year_founded": 2021,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/formancehq",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "user_id": 144945,
        "full_name": "Clément Salaün",
        "title": "Founder",
        "founder_bio": "Founder of Formance, making complex payments workflows work. Previously @Selency.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/clementsalaun",
        "x_url": "https://www.twitter.com/superzamp",
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        "id": 69470,
        "title": "Senior Software Engineer ",
        "url": "https://www.ycombinator.com/companies/formance/jobs/C2HMJfN-senior-software-engineer",
        "location": "Paris, IDF, FR / Remote (FR)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€60K - €90K EUR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
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        "id": 85244,
        "title": "Senior Account Executive (NYC)",
        "url": "https://www.ycombinator.com/companies/formance/jobs/ovlW1Xn-senior-account-executive-nyc",
        "location": "New York, NY, US",
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        "id": 85245,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/formance/jobs/M2Vc5Mh-business-development-representative",
        "location": "New York, NY, US",
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        "salary_range": "$95K - $110K",
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        "id": 85248,
        "title": "Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/formance/jobs/ISOaDNE-solutions-engineer",
        "location": "London, England, GB / Remote (GB)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "£90 - £95 GBP",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "title": "Formance raises $21M to build the AWS for fintech infrastructure | TechCrunch",
        "url": "https://techcrunch.com/2025/01/29/formance-raises-21-million-to-build-the-aws-of-fintech-infrastructure/",
        "date": "Jan 29, 2025"
      },
      {
        "title": "French fintech Formance secures €2.9 million to help companies build and track payment flows | EU-Startups",
        "url": "https://www.eu-startups.com/2022/06/french-fintech-formance-secures-e2-9-million-to-help-companies-build-and-track-payment-flows/",
        "date": "Jun 20, 2022"
      }
    ],
    "launches": [
      {
        "id": 64456,
        "title": "💸 Formance: Open, modular foundation for unique payment flows",
        "tagline": "Build, operate and track money movements of any size and shape on a solid and open-source system-of-record (ledger)",
        "body": "Hi everyone!\n\nWe’re developing an open-source solution to enable fintechs, marketplaces and platforms to build, operate and track money movements of any size and shape on a solid system-of-record (also known as a financial ledger)\n\n**✌️ Check out our main Github repository here:** [**https://github.com/numary/ledger**](https://github.com/numary/ledger\\*\\*)\n\n## **The problem**\n\nFintechs, marketplaces, and platforms growth is closely tied to their ability to:\n\n1. Process an increasing volume of transactions, and\n2. Implement competitive payment scenarios, which can become increasingly complex, e.g. complex commission models, improved time-to-money and creative payout schedules, embedded fractional ownership of various investment assets, omnibus accounts and the likes.\n\nEngineering teams spend valuable time building themselves these money flows and the way they are broken down; then making them evolve according to the development and the strategy of the company. Additionally, tracking and reconciliating these flows from pay-ins to payouts quickly upgrades itself from an small annoyance to a _did-we-lost-10millions-type-of-problem™️_\n\nFormance is tackling this particular segment in the payment value chain which is still painful for engineering teams, yet critical: the break-down and tracking of money between inflows and outflows.\n\n## **The solution**\n\n**✌️ Check out our main Github repository here:** [**https://github.com/formancehq/stack**](https://github.com/numary/ledger\\*\\*)\n\nFormance solution is based on four products designed to **improve your economics, save time and limit costly errors:**\n\n**1/ A simple and open-source programming language for money**: designed for engineering and payments teams, this low-code language enables the creation of reliable and unique payment scenarios in a few hours, rather than days, without any particular technical expertise related to payments;\n\n![uploaded image](/media/?type=post&id=64456&key=user_uploads/144945/882aa901-0827-41c2-9dfc-4fecdbe29c8d)\n\n**2/ Pre-built and extendable use-case templates**: these templates allow to quickly implement new business strategies or product features, check them out here: <https://www.formance.com/use-cases-library>\n\n![uploaded image](/media/?type=post&id=64456&key=user_uploads/144945/731eced2-67fb-4c65-8762-26d0214a61d3)\n\n**3/ An open-source financial ledger**: working in tandem with our language and designed for reliability, this immutable system-of-record enables the track financial flows that move value through various merchants, intermediaries, parties and the extraction of data for business analysis and decision-making\n\n**4/ Real-time transaction tracking tools**: designed for finance and operations teams, these tools enable the reconciliation of pay-ins and payouts, and the identification of issues related to transactions.\n\n![uploaded image](/media/?type=post&id=64456&key=user_uploads/144945/037dee85-7949-4b3a-85bd-3156b0285bdf)\n\nWe believe that open-source and low-code go hand-in-hand with the diversity of money flows, payment scenarios and strategies that will make your company win.\n\n**🤙 Ping us anytime, we’re always more than happy to help and have a chat!**\n\n→ **Schedule a call here**: <https://calendly.com/numary/chat-with-numary?month=2022-07>\n\n→ **Drop us an email**: [founders@formance.com](mailto:founders@formance.com)\n\n→ **Check out use-cases library**: <https://www.formance.com/use-cases-library>\n\n→ **Download Formance Open Source Main Repo**: [**https://github.com/formancehq/stack**](https://github.com/numary/ledger)",
        "url": "https://www.ycombinator.com/launches/Glc-formance-open-modular-foundation-for-unique-payment-flows",
        "votes": 23,
        "created_at": "2022-07-08T10:26:05.510Z"
      }
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    "all_locations": "San Francisco, CA, USA",
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    "industry": "B2B",
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    "country": "US",
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        "full_name": "Vrinda Gupta",
        "title": "Founder",
        "founder_bio": "Vrinda Gupta is the CEO & Co-Founder of Sequin, building AI voice agents for consumer lenders and servicers to automate collections efforts. \n\nPreviously, she founded a women-focused neobank being rejected from the very credit card she helped launch (the Chase Sapphire Reserve) as a PM at Visa Inc. Vrinda holds an M.B.A from Berkeley Haas and a B.A. from UCLA. She is a proud first-generation Indian immigrant and currently lives in San Francisco, California.",
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        "linkedin_url": "https://www.linkedin.com/in/vrindag/",
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        "full_name": "Mark Thomas",
        "title": "Founder",
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        "title": "Bay Area startup Sequin addresses gender, racial disparities by helping educate women on finance - ABC7 San Francisco",
        "url": "https://abc7news.com/women-and-money-finance-financial-literacy-sequin/12481907/",
        "date": "Nov 22, 2022"
      },
      {
        "title": "Credit crunch: Sequin CEO Vrinda Gupta talks female finance",
        "url": "https://fintechmagazine.com/financial-services-finserv/credit-crunch-sequin-ceo-vrinda-gupta-talks-female-finance",
        "date": "Jan 21, 2022"
      },
      {
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        "url": "https://www.the-sun.com/money/4240953/launched-debit-card-rejected-credit-sequin/",
        "date": "Dec 19, 2021"
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      {
        "title": "Debit Card Startup Which Builds Credit For Women Raises $5.7 Million In Total Funding",
        "url": "https://www.forbes.com/sites/geristengel/2021/09/15/debit-card-startup-builds-credit-for-women/",
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        "title": "Sequin: Banking designed with women’s best interests in mind - literally! 💪🏽",
        "tagline": "Meet Sequin: Banking designed to empower women+ financially ",
        "body": "Tl;dr Sequin Banking Members unlock a high-yield checking account (that’s right, high interest on checking vs. savings!) and personalized debit card with built-in financial education, community, and perks geared towards women’s lifestyles. All genders welcome (18+, US SSN), become a member today at [www.sequincard.com](http://www.sequincard.com)! \n\n![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/2c471f90-3ec6-4655-b06b-7ebd0e56a716)\n\n**I was rejected from the credit card I built at Visa.**\n\nHi everyone! We’re [Vrinda](https://bookface.ycombinator.com/user/384658) + [Mark](https://bookface.ycombinator.com/user/756912), two payments experts (Visa & PayPal) on a mission to close gender-based financial gaps - more below. I developed the Chase Sapphire Reserve at Visa, and was rejected (!) because I lacked credit history due to heavy debit usage. Turns out, 70% of women’s spend is primarily on debit like mine was (Visa data).\n\n![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/d5b0df67-edab-4f25-9937-784a5ec76028)\n\n**The financial world was designed to leave women out of the narrative.** \n\nWomen could be rejected from bank accounts, credit cards, and business loans until 1974 - not ancient history. Despite the fact that women control over [$20T in consumer spending](https://hbr.org/2009/09/the-female-economy) globally, women continue to be systemically disadvantaged when it comes to our finances: \n\n\\-Women’s spend is disproportionately linked to traditional checking accounts, that earn low to no interest (Visa data). \n\n\\-Women are [18% more likely](https://www.bloomberg.com/news/articles/2019-07-29/women-pay-18-more-in-banking-fees-than-men-research-finds) to pay avoidable banking fees like overdraft fees and other “gotchas”, costing $218/yr on average.\n\n\\-Women lack [financial education](https://www.forbes.com/sites/elizabethharris/2018/04/30/new-studies-highlight-why-women-must-become-more-financially-savvy/?sh=661c36877062) which leads us to manage our finances suboptimally, including paying higher interest rates, carrying credit card debt, or being rejected from credit cards more often. \n\nThe original Sequin Card concept was a [debit card that builds credit](https://www.forbes.com/sites/geristengel/2021/09/15/debit-card-startup-builds-credit-for-women/). However, we sunset that product to address gendered financial gaps when they start - with young women’s checking accounts. \n\n**The Sequin Banking Membership is designed with women’s best interests in mind - literally.**\n\n✨[The Sequin Banking Membership](http://www.sequincard.com) unlocks a personalized Sequin Rewards Visa® Debit Card, High-Yield Checking Account (that’s right, high interest on checking!), and $1300+ in value with expert-led financial education, community, and discounts on [Sequin Perks Partners](http://www.sequincard.com/perks) like Rent the Runway, Flex, and more! \n\nOur Sequin Banking Membership model allows us to align with women’s interests: \n\n1. Your checking **balance earns high interest**, while remaining accessible (3.30% APY as of 5/5/23).\n2. Unbiased Recommendations: Sequin doesn’t rely on affiliates, so we can provide unbiased credit card recommendations. We’re also building the ability to link credit cards and receive personalized suggestions to pay off debt or build credit (coming soon)! \n3. No surprise fees, overdrafts, minimums, or “gotchas”.\n\n   ![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/fb87dbb3-567e-4f89-b945-5e5fe44e9e87)\n\n\n**Banking built by women, for women (all genders welcome!).** \n\n[Women’s financial health is at a five-year low](https://www.forbes.com/sites/kimelsesser/2022/10/04/heres-why-women-are-worrying-about-money-more-than-men-according-to-new-survey/?sh=6418953914b5). Here’s how Sequin Banking Members spark joy: \n\n1. Financial education: workshops, how-to guides, and courses.  \n2. Community: talk money, woman to woman.\n3. Personalized Coral-Colored Card: Write a favorite motto/affirmation “Who run the world!”\n4. Fight the Pink Tax!: $500+ in savings on women’s health and wellness partners.\n\n![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/d3bb41fc-b4bb-445f-b327-823da12a1a71)\n\n**Who is the Sequin Banking Membership for?** \n\nWhen products are designed with women in mind, they work better for everyone (all genders welcome). The Sequin Banking Membership is especially powerful for heavy-debit users, those working towards a credit goal (building credit/paying off debt), or anyone who has had a negative experience with their traditional bank. Our ideal member is a young professional woman who is looking to step into her financial power with confidence and maintain confidence throughout her life’s financial goals.  \n\n**Our Ask** 🙏🏼\n\n* Become a [Sequin Banking Member](http://www.sequincard.com) (bonus: share your feedback with us at [founders@sequincard.com](mailto:founders@sequincard.com)). \n* Share this post! Please help spread the word (women are less likely to talk about finances).\n* Connect us with any women-focused brand partners! \n* \\*quick blurb to copy & paste: Two Visa & PayPal experts launch the Sequin Banking Membership geared towards empowering women financially. Learn more at [www.sequincard.com](http://www.sequincard.com)!",
        "url": "https://www.ycombinator.com/launches/Iaf-sequin-banking-designed-with-women-s-best-interests-in-mind-literally",
        "votes": 46,
        "created_at": "2023-05-09T18:21:42.584Z"
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        "founder_bio": "Liza Charalambous is a Digital Security expert with 8+ years of experience in the ideation and implementation of (cyber) security projects. Liza holds a PhD in machine learning, as well as academic titles in signal processing and AI and digital communications. Over the years, she collaborated with various privately owned and public organizations to provide solutions that improve users’ quality of life. ",
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    "id": 24384,
    "name": "Whalesync",
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        "title": "Whalesync: Give your spreadsheet edit access to data in apps",
        "tagline": "Do things you shouldn’t with spreadsheets.",
        "body": "Hi everyone! We’re Matthew and Curtis, founders of [Whalesync](https://www.whalesync.com).\n\n**Whalesync gives your spreadsheet edit access to data in apps like HubSpot, Webflow, and Supabase.** This way, you can bulk edit, collaborate, or build AI workflows directly from Airtable, Notion, or Google Sheets. It's a little scary... but also super powerful ;)\n\nHere’s a Notion database updating deals directly in HubSpot:\n\n![uploaded image](/media/?type=post&id=85696&key=user_uploads/689259/02e173cf-86dd-4420-ac98-9197be6bbcd8)\n\n### **Why spreadsheets?**\n\nSpreadsheets like Google Sheets, Airtable, and Notion are super flexible, require practically no learning curve, and let you view and update records in bulk.\n\nWhen you connect these tools with your business apps (like your CRM, CMS, or database), you basically get spreadsheet superpowers ✨.\n\n![uploaded image](/media/?type=post&id=85696&key=user_uploads/689259/a269b120-351c-41f1-ae49-576fd317a397)\n\n### **Common use cases**\n\nHundreds of companies, including Webflow, Descript, and Clay, use Whalesync to work faster by:\n\n* **Enriching CRM leads with AI** from a spreadsheet (HubSpot + Notion)\n* Creating **thousands of programmatic SEO pages** from a spreadsheet (Webflow + Airtable)\n* **Creating internal tools** without any engineers (Supabase + Airtable)\n* **Updating deal statuses** from a spreadsheet (Affinity + Google Sheets)\n* Giving clients an **easy way to update projects** (Notion + Google Sheets)\n\n### **How it works**\n\n1. Connect your app and your spreadsheet.\n2. Map the tables and fields you want to sync.\n3. Turn it on, and your data syncs into your spreadsheet. Then you can start editing/creating.\n\n### **Try it out**\n\nWe have a two-week free trial on all of our plans if you want to try Whalesync yourself!\n\nAnd always feel free to shoot us a note if you have questions at 👋 [hello@whalesync.com](mailto:hello@whalesync.com).\n\n**🚀 Try it out here** ——> [**https://www.whalesync.com**](https://www.whalesync.com)\n\n<https://www.youtube.com/watch?v=dJtDkem4JQc>",
        "url": "https://www.ycombinator.com/launches/MIC-whalesync-give-your-spreadsheet-edit-access-to-data-in-apps",
        "votes": 9,
        "created_at": "2024-11-19T17:55:29.794Z"
      },
      {
        "id": 68930,
        "title": "Whalesync - 2-way sync your no-code tools",
        "tagline": "Whalesync lets you create an instant, 2-way sync between Airtable, Webflow, Notion, Postgres, & Bubble",
        "body": "**tl;dr** We make it easy to 2-way sync data across tools like Airtable, Webflow, Notion, Postgres, & Bubble. This unlocks powerful use cases like programmatic SEO, no-code apps, ABM pages, and internal tools. You can check out our [free trial here](https://www.whalesync.com/airtable-webflow/choose-connectors)!\n\nHey everyone! We’re Ryder, Matthew, Curtis, Manish, Veneta, and Sean aka the team behind [Whalesync](http://whalesync.com/).\n\n![uploaded image](/media/?type=post&id=68930&key=user_uploads/689259/bc6a3ca8-c31c-4a1b-841c-7c5afd6dc221)\n\n### **The problem: connecting tools is hard**\n\nConnecting apps like Airtable & Webflow enables amazing use cases, but is actually really hard to do without code!\n\nWe started Whalesync because we repeatedly saw people spending weeks architecting multi-step automations only to find them brittle and unreliable.\n\nWhile we love automation tools, they’re really not built to handle true data syncing where you connect deeply and bi-directionally.\n\n![uploaded image](/media/?type=post&id=68930&key=user_uploads/689259/f59ab897-31e7-4717-8c1d-5353077f4f28)\n\n### **The solution: simple, no-code data sync**\n\nWhalesync is the no-code tool built to handle data syncing. In a few minutes, you can hook up your apps and have them 2-way syncing in real-time.\n\n![uploaded image](/media/?type=post&id=68930&key=user_uploads/689259/05a48b3c-e3a4-49cc-870c-9b8564835d98)\n\n### **Use cases: pSEO, internal tools, + much more**\n\nWhalesync works by connecting different tools, so there are a TON of different things you can do. A few of the more popular use cases:\n\n* 🔎 Launch thousands of **programmatic SEO pages** (Airtable x Webflow)\n* ⚒️ Build an **internal tool** on top of your production database (Postgres x Notion)\n* 💻 Create a scalable **no-code app** (Bubble x Airtable)\n* 🧑 Personalize hundreds of tier-1 **ABM landing pages** (Airtable x Webflow)\n* 📝 Manage your **blog** (Notion x Webflow)\n\n### **How it works**\n\n1. Pick the tools you want to sync\n2. Tell Whalesync how the data maps\n3. Turn on sync, we do the rest ✅\n\n![uploaded image](/media/?type=post&id=68930&key=user_uploads/689259/c61a0dd3-5b9f-4be0-aef9-14310076108c)\n\n### **🙏 Asks**\n\n* [Try it out](https://www.whalesync.com/airtable-webflow/choose-connectors) and let us know what you think! Support is great, but feedback is even better as it helps us decide what to build next.\n* Also, let us know if you have any [requests for new connectors](https://jjm01gwpyzn.typeform.com/to/lij7aJhR)! We’ll be building a bunch more this year.\n* If you have any questions, feel free to reach out to my personal email 😄 [matthew@whalesync.com](mailto:matthew@whalesync.com)",
        "url": "https://www.ycombinator.com/launches/Hvm-whalesync-2-way-sync-your-no-code-tools",
        "votes": 19,
        "created_at": "2023-02-01T16:56:55.235Z"
      }
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    "id": 24385,
    "name": "ShipBlu",
    "slug": "shipblu",
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    "website": "http://www.shipblu.com",
    "all_locations": "Cairo, Cairo Governorate, Egypt",
    "long_description": "ShipBlu provides Amazon level logistics for eCommerce companies in MENA - one of the fastest growing eCommerce markets in the world. As it stands, the majority of delivery providers are still using pen and paper to manage delivery and fulfillment operations, leading to 5x the rate of failed deliveries and 3x the operating costs as compared to global benchmarks.\r\n\r\nAt ShipBlu, we've built an infrastructure that handles every aspect of delivery and fulfillment operations. We've also added some unique features that tie in various business functions, allowing us to realize significant efficiencies compared to other players. Our platform is managed by ShipBlu AutoPilot - our collection of Artificial Intelligence and Machine Learning algorithms that constantly make operational predictions and decisions to reduce costs, meet delivery constraints, and refine our operating assumptions. Designed by ShipBlu's CTO, Abdelrahman is currently completing his PhD at Brown University where he explores the applications of AI and ML in optimization problems.\r\n\r\nWe built a nationwide delivery network in Egypt in about 2.5 months, kicking off operations on Aug 1st, 2021. In under 4 weeks, we have signed on over 40 merchants, and when those merchants fully go live in October, we will be making over $40k in MRR.",
    "one_liner": "Amazon Level Logistics for eCommerce Companies in MENA.",
    "team_size": 300,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1624825828,
    "tags": [
      "Delivery",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
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      "Middle East and North Africa",
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/shipblu",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/shipblu.json",
    "year_founded": 2020,
    "city": "Cairo",
    "country": "EG",
    "linkedin_url": "https://www.linkedin.com/company/shipblu",
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        "full_name": "Ali Nasser",
        "title": "Founder",
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        "linkedin_url": "https://www.linkedin.com/in/alifnasser",
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        "full_name": "Ahmed ElKawass",
        "title": "Founder",
        "founder_bio": "I have a BA in Politics and Economics from Northumbria University, UK. Prior to founding ShipBlu, I worked at Unilever, Nestle and Reckitt Benckiser between the Sales and Supply Chain departments. I then took a leap of faith and decided to move to Leo Burnett followed by JWT where I gained plenty of experience in the marketing and advertising field. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ahmad-kawass-56b65815/",
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        "user_id": 740290,
        "full_name": "Abdelrahman Hosny",
        "title": "Founder",
        "founder_bio": "I'm mainly interested in combinatorial optimization problems, with efficient implementations. This lies at the heart of ShipBlu operations. To that end, I investigate the use of machine learning techniques to come up with novel implementations that offers new solutions.\nI'm pursuing a PhD in Computer Science at Brown University. Prior to that, I had a Master's in Computer Science and Engineering from UConn. I have been enjoying building cloud apps for ~8 years now.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abdelrahmanhosny/",
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        "title": "ShipBlu bags $2.4M for its e-commerce and fulfilment service in Egypt – TechCrunch",
        "url": "https://techcrunch.com/2021/10/31/shipblu-bags-2-4m-for-its-e-commerce-and-fulfilment-service-in-egypt/",
        "date": "Oct 31, 2021"
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      {
        "title": "ShipBlu raises pre-Seed funding led by Nama Ventures - Wamda",
        "url": "https://www.wamda.com/2021/07/shipblu-close-funding-around-english",
        "date": "Aug 24, 2021"
      },
      {
        "title": "Egyptian logistics startup ShipBlu raises pre-seed funding round - Disrupt Africa",
        "url": "https://disrupt-africa.com/2021/07/13/egyptian-logistics-startup-shipblu-raises-pre-seed-funding-round/",
        "date": "Jul 13, 2021"
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    "id": 24390,
    "name": "GetDot",
    "slug": "getdot",
    "former_names": [
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    "website": "https://getdot.ai",
    "all_locations": "Berlin, Berlin, Germany; Remote",
    "long_description": "Our mission is to help everybody in an organization to take data-driven decisions, by democratizing access to trusted high-quality data and metrics. \r\n\r\n**Chat with your Data Warehouse**\r\n\r\nAnswer most business questions instantly 24/7. Data teams can focus on deep work, not on answering easy questions about dashboards.\r\n\r\nDot understands your existing data stack: tables, SQL queries, documentation, DBT metrics or LookML are its learning material.\r\n\r\nUsers can interact via Slack, Teams or our native web app.\r\n\r\n➡️  https://getdot.ai/",
    "one_liner": "Your AI Data Analyst",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1624988056,
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    "nonprofit": false,
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/getdot",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/getdot.json",
    "year_founded": 2021,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/sled-software",
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      {
        "user_id": 769390,
        "full_name": "Theo Tortorici",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/theo-tortorici/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb5511511300c5a8603c089d023e1699a51822bf.jpg"
      },
      {
        "user_id": 729456,
        "full_name": "Rick Radewagen",
        "title": "Founder",
        "founder_bio": "analyst in a world of data; creator of well-arranged pixels; surprised language learner",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/radewagen/",
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        "full_name": "Sven Rudolph",
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        "title": "Founding GTM Engineer · Ex-Founders Only (remote)",
        "url": "https://www.ycombinator.com/companies/getdot/jobs/whXAEQ7-founding-gtm-engineer-ex-founders-only-remote",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$3K - $4.5K / monthly",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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        "id": 69587,
        "title": "🦊 Dot - Chat with your data warehouse",
        "tagline": "Dot is a chat agent that helps answer business questions on data. Data teams can focus on deep work, not on answering easy questions about dashboards.",
        "body": "### TL;DR Instead of searching through dashboards, Dot gives you answers. It uses language models combined with data in your DWH + documentation to answer questions with SQL and data.\n\nHi everyone, we are Rick, Sven and Theo and we want enable everybody in your company to be able to take data and fact-based decisions.\n\n### **❌ The Problem**\n\nStatic dashboards are not good enough to keep up with changing and detailed business needs. We like a good dashboard as much as everybody. But the reality is 100s or 1000s of dashboards with way too many visualizations that try to fit to every potential business question.\n\n![7 tips and tricks from the dashboard experts](https://www.tableau.com/sites/default/files/2021-11/7%20tricks%20from%20dashboard%20experts.png)\n\n### **✨ Our Solution**\n\nAsk a question, get the answer.\n\n![uploaded image](/media/?type=post&id=69587&key=user_uploads/729456/78de839e-d8f0-44f7-8c99-615e1706f4f8)\n\n🎥➡️ [Watch Our Demo Video ⬅️](https://www.loom.com/share/5852ead90511473ab1cbecd2313ffe4c)\n\n### **🚸 Our Background**\n\nWith our first product (<https://www.sled.so/>) we help teams to find, understand and trust their analytics on top of Snowflake. We learned how important it is to have trustworthy data combined with correct logic to enable great analytics.\n\nWith Dot, we build on this strong foundation and design the assistant to find and use trustworthy data. We are amazed by the out-of-the box performance of LLMs like ChatGPT and want to bring that to the next level, so everybody in a company gets a personal data analyst.\n\nData Analyst can then concentrate on building great data models, asking the right questions, designing processes to collect the right data, … (there is so much to do).\n\n### **🙏 Asks**\n\n**If you want to try Dot on your data, reach out to us:** [**hi@sled.so**](mailto:hi@sled.so)\n\n**Or sign up to get early access:** [**https://getdot.ai/**](https://getdot.ai/)",
        "url": "https://www.ycombinator.com/launches/I6N-dot-chat-with-your-data-warehouse",
        "votes": 37,
        "created_at": "2023-02-23T14:45:26.330Z"
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    "name": "CoLoop",
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    "website": "https://coloop.ai/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "At CoLoop we’re on a mission to make every company in the world as customer obsessed as Amazon. We’re doing this by giving the next generation of workers immediate, intuitive access to the customer knowledge they need to make better decisions, faster.",
    "one_liner": "AI Copilot for insights & strategy",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1626771804,
    "tags": [
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      "Europe"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/coloop",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/coloop.json",
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    "city": "London",
    "country": "GB",
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      "name": "Aaron Epstein",
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      {
        "user_id": 751274,
        "full_name": "Jack Bowen",
        "title": "Founder",
        "founder_bio": "Materials engineering by trade - spent a masters year playing around with lasers looking for new hosts for qubits 🤓. Now helping insights & strategy teams build decks in in 70% less time with AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jack-bowen-ab6b7018a/",
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        "full_name": "Adrien Wald",
        "title": "Founder",
        "founder_bio": "Adrien loves to solve hard problems. He can be modeled as a function that takes caffeine as input and outputs (sometimes half-baked) product and engineering solutions. In a previous life, Adrien was a biochemist studying at Oxford. And in a life before that, a violinist for 13 years.",
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      {
        "id": 89806,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/coloop/jobs/eY6VWhq-business-development-representative",
        "location": "London, England, GB",
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        "id": 92733,
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        "url": "https://www.ycombinator.com/companies/coloop/jobs/Mb7flZw-product-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
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    "id": 24395,
    "name": "Miniloop",
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      "Update",
      "Pod",
      "Pod AI",
      "Paperbook"
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        "body": "Hi everyone, we’re Christina and Andrew, co-founders of [OneSchema](https://oneschema.co/). We’re very excited to share the launch of our new product line with you!\n\n## **Founders Backstory**\n\nAs a product manager and engineering manager, we both suffered through months of wasted engineering time building CSV importers instead of core product features. Even after launch, the [maintenance never seemed to end](https://www.oneschema.co/blog/csv-importer-cost) - parsing issues, performance improvements, and UX issues always seemed to pop up. \n\nWe decided to build OneSchema so product teams could focus on the features that matter most to their customers.\n\n## **What is OneSchema?**\n\nOneSchema is an embeddable CSV importer for SaaS companies. Product and engineering teams use OneSchema to save months of development and maintenance time and provide a best-in-class CSV import process for their customers. OneSchema cleans customer data during import, and offers helpful suggestions for resolving errors. \n\n![uploaded image](/media/?type=post&id=66712&key=user_uploads/431865/e31cbb2a-a4c0-4455-9a51-593e136d5367)\n\nOur product team is laser-focused on making data onboarding as fast and seamless as possible for your customers. We are a developer-first platform and have built OneSchema so you can have production-ready CSV import set up in less than a day.\n\n## **We'd love to hear from you!**\n\nWe’re excited to help companies deliver a delightful onboarding experience for their users. If you’re interested in learning more, feel free to [book a demo here](https://demo.oneschema.co/?utm_source=yc&utm_campaign=launchboard) or reach out to us at [founders@oneschema.co](mailto:founders@oneschema.co)",
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    "long_description": "Warrant is an open source authorization service that helps developers implement and enforce access control in their applications. Warrant serves as a dedicated, centralized platform for handling user authorization and access control so engineering teams can focus on building their core products.",
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        "id": 70447,
        "title": "Warrant - Open source application authorization and access control",
        "tagline": "Build compliant, auditable, production-ready permissions, role based access control, and more in minutes instead of months.",
        "body": "![uploaded image](/media/?type=post&id=70447&key=user_uploads/234741/7662bcdc-8497-4a8c-a0c6-428ddc3bffe0)\n\nHey everyone! We’re Aditya and Karan! 👋\n\nWarrant is an open source **authorization service** that **helps developers implement and enforce secure, compliant access control in their applications.** It abstracts away the complexity of building application authorization and access control so developers can instead focus on building core product features.\n\nOur cloud-first, API-first approach has enabled us to build a highly-scalable and performant service that now processes millions of customer API calls per month. Today, we’re excited to announce that Warrant is officially [open source](https://github.com/warrant-dev/warrant)! ⭐️\n\n### The Problem\n\nDevelopers, we’ve all been there. What started as a simple _isAdmin_ flag to distinguish between internal and external users — just so you could release that _one_ internal-only feature — has grown into a nightmare to maintain. It’s now a hodgepodge of booleans, database flags, and a halfway built role based access control system that not only slows down your team’s day-to-day development velocity, but also opens up your company to a slew of [costly security vulnerabilities waiting to be exploited](https://www.hackerone.com/press-release/organizations-paid-hackers-235-million-these-10-vulnerabilities-one-year-4).\n\n![uploaded image](/media/?type=post&id=70447&key=user_uploads/234741/60544231-1dac-4013-8872-c97b83878da3)\n\nWhat’s more? Your customers are now requesting the ability to self-manage their team’s roles and permissions, so you’ll be spending another 1-2 months building the APIs, UIs, etc. for this risky, non-differentiating feature.\n\nIn short, application authorization and access control is difficult to build and even trickier to maintain as a company’s product evolves and its needs change.\n\n### The Solution\n\nTo help developers quickly build world-class access control, Warrant provides three things:\\\n(1) **A centralized datastore for storing your application’s authorization policies and related data.** Warrant’s management dashboard and APIs make it dead-simple to safely modify authorization policies globally or for a single user or tenant in real-time. With Warrant, updating policies for all users as your product changes becomes a breeze.\n\n(2) **A real-time, low latency access control service for enforcing authorization policies in your application at runtime.** With official Warrant SDKs available for the most popular server-side languages and frontend frameworks, checking if a user has access becomes as easy as a call to Warrant’s _check_ method.\n\n(3) **A library of thoughtfully designed, authorization-specific UI components** that help with building self-service permission management flows, granting/denying access to privileged pages/UIs, displaying audit logs to users, and more. These components are **customizable and _permission-aware_**, so developers can drop them into any application.\n\n### What’s Next?\n\nJoin us on our journey to solve authorization and access control for all developers:\n\n* Give us a 🌟 [on GitHub](https://github.com/warrant-dev/warrant) and tell us what you’d like us to build next\n* Give us a follow [on Twitter](https://twitter.com/warrant_dev) to keep up with the latest Warrant features\n* Come discuss everything authz/access control in our [Slack community](https://join.slack.com/t/warrantcommunity/shared_invite/zt-12g84updv-5l1pktJf2bI5WIKN4_\\~f4w)\n* Try out our managed cloud service, [Warrant Cloud](https://app.warrant.dev/signup)",
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        "title": "Meticulous: The easiest way to write end-to-end tests",
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        "body": "Hey there!\n\nI'm Gabe and I'm super excited to share [Meticulous](https://meticulous.ai/) with you today, the easiest way to create end-to-end tests, without writing (or maintaining) any code.\n\nWhat is Meticulous?\n\nMeticulous is a CLI tool with ‘record’, ‘simulate’ and ‘test’ commands. The record command opens an instrumented browser which records your actions as you interact with your web application. Watch the record command below:\n\n![uploaded image](/media/?type=post&id=64757&key=user_uploads/155134/7b3e6754-07fe-424f-9896-1ba0b78f513a)\n\nThe simulate command re-executes the recorded sequence of actions on a URL of your choice, like localhost . A test consists of a recording ID (which identifies the recording to simulate on the new version of code) and a simulation ID. Tests are defined and maintained in a meticulous.json file. Meticulous takes a visual snapshot at the end of each simulation and a test fails if there is a discrepancy between the two snapshots.\n\n![uploaded image](/media/?type=post&id=64757&key=user_uploads/155134/cda27a4d-831e-4a25-b884-20583a4832f2)\n\nWatch the test command in action below:\n\n![uploaded image](/media/?type=post&id=64757&key=user_uploads/155134/484ba0aa-628b-4885-a341-f55e4a2daf2b)\n\n### What about flows that mutate state?\n\nImagine a test that simulates a user signing up to your application. You can't sign up twice with the same email address. Traditionally you have two options: 1) Write a mock for the network call 2) Introduce a mechanism for resetting state after each test execution. Meticulous solves this problem by providing an option to automatically mock out all network calls, eliminating the need for either of these approaches. This option should be used if you wish to isolate the frontend.\n\n### How can I try this?\n\nSign up [here](https://app.meticulous.ai/) and try out the product (no credit card required), or check out the [docs](https://docs.meticulous.ai) here.\n\nOn a related note, I started offering testing office hours to YC founders. I’d be happy to help you out, even if you’re not a YC founder and it's just to strategize around your testing strategy. Just email [gabe](mailto:gabe@meticulous.ai) with the title ‘Testing office hours request’.",
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        "full_name": "Sasha Miagkyi",
        "title": "Founder",
        "founder_bio": "build software to sell 🍔\n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/oleksandr-miagkyi/",
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        "user_id": 514230,
        "full_name": "Igor Shelvinskyi",
        "title": "Founder",
        "founder_bio": "ML geek, doing ML and NLP in startups and banks for last 10 years. Loves Math and mechanical keyboards! ⌨️",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/igor-shelvinskyi-96055249/",
        "x_url": "https://twitter.com/shelvinskyi",
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    "id": 24526,
    "name": "Writesonic",
    "slug": "writesonic",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd007ffa21d124d29441b51ecf33a2c45d832ad5.png",
    "website": "https://writesonic.com/",
    "all_locations": "New Delhi, DL, India; Remote",
    "long_description": "Writesonic is the GEO (Generative Engine Optimization) platform that tracks your AI visibility across ChatGPT, Gemini, and 10+ AI search platforms. Then helps you take precise actions to boost visibility—create new content, refresh existing pages, or reach out to sites that mention competitors but not you. \r\n\r\nTrack, Act, and Win AI search from one platform. \r\n\r\n15,000+ five-star reviews across G2, Trustpilot, and Capterra.",
    "one_liner": "Track & Boost Your Brand’s Visibility in AI Search",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1628672374,
    "tags": [
      "Generative AI",
      "SaaS",
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      "AI"
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      "India",
      "South Asia",
      "Remote",
      "Fully Remote"
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    "url": "https://www.ycombinator.com/companies/writesonic",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/writesonic.json",
    "year_founded": 2021,
    "city": "New Delhi",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/writesonic/",
    "x_url": "https://x.com/Writesonic",
    "fb_url": "https://www.facebook.com/GetWritesonic",
    "cb_url": null,
    "github_url": "https://github.com/Writesonic",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
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      {
        "user_id": 490043,
        "full_name": "Samanyou Garg",
        "title": "Founder",
        "founder_bio": "Building the platform that helps brands win AI search through GEO (Generative Engine Optimization). Started tracking AI visibility before anyone knew it mattered, now helping 13,000+ teams dominate AI search. Computer science graduate from the University of Manchester. Won the 2019 Global Undergraduate Award (the \"junior Nobel Prize\") for machine learning research on group emotion recognition.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samanyougarg/",
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    "launches": [
      {
        "id": 87645,
        "title": "Writesonic - The AI SEO Agent that replaces $10k/month agencies",
        "tagline": "Connects with your essential SEO tools: Ahrefs, Search Console, Keyword Planner, and more",
        "body": "Hey everyone! We're Sam and the Writesonic team. Today we're launching our [SEO AI Agent](https://writesonic.com/seo-ai-agent) that automates end-to-end SEO workflows by connecting real-time data from Ahrefs, Google Search Console, and other key marketing tools.\n\n## TL;DR\n\nTraditional SEO requires endless tool-hopping and manual work. Our SEO AI Agent changes that by automating the entire workflow - from research to implementation. It works like an in-house specialist but faster, pulling live data from your marketing tools to turn weeks of work into minutes. After helping 10M+ users create AI content, we're now solving the bigger SEO automation problem. Watch our [2-minute demo here](https://www.youtube.com/watch?v=MnL8oaLWauQ).\n\n## The Traditional SEO Problem ⚠️\n\nHere's what teams currently deal with:\n\n* Spending 6-8 hours/week comparing keyword data\n* Paying agencies $5,000-10,000 monthly for basic SEO work\n* Wasting hours switching between different tools\n* Waiting weeks for competitor research and strategy\n* Getting stuck in endless iterations\n\n**A typical SEO project involves:**\n\n1. Initial consultation (1-2 hours)\n2. Tool research & data gathering (4-6 hours)\n3. Competitor analysis (6-8 hours)\n4. Strategy development (3-4 hours)\n5. Multiple revision cycles (1-2 weeks)\n\n## How Our AI Agent Changes This ⚡\n\nWhen you ask \"Help me rank for 'AI SEO' keyword in the US\", the agent:\n\n1. Does **keyword research** to understand search volume, difficulty, and related terms **using Ahrefs and Google Keyword Planner**\n2. Studies the current **Google SERP** landscape to understand content types and ranking factors\n3. Examines your site's current **Domain Rating and organic keywords**\n4. Identifies your top competitors in the US market for this keyword\n5. Analyzes relevant **backlink profiles**\n6. Performs technical SEO audit to spot improvement opportunities\n7. Compiles a comprehensive strategy based on all gathered data\n\nAll this happens in minutes, not weeks. Unlike ChatGPT or Claude, we're not making educated guesses - we're working with real-time data from your actual marketing tools.\n\n## Example Use Cases 💡\n\n**Keyword Research & Strategy**\n\n* \"Find easy-to-rank keywords in our niche\"\n* \"Analyze content gaps vs competitors\"\n* \"Map topic clusters for our features\"\n\n**SERP Analysis**\n\n* \"What's working for top-ranking pages?\"\n* \"Find SERP features we can capture\"\n* \"Discover untapped keyword opportunities\"\n\n**Content Optimization**\n\n* \"Optimize our post for featured snippets\"\n* \"Improve key product page rankings\"\n* \"Find missing content opportunities\"\n\n## Who's Using It? 🎯\n\n**Startup and Small Business Owners**\n\n* Get enterprise-grade SEO without hiring expensive in-house teams or agencies\n* Access tools like Ahrefs without separate subscriptions\n* Turn complex SEO into simple, actionable steps without needing technical expertise\n\n**Marketing Agencies**\n\n* Automate research and reporting for multiple clients simultaneously\n* Scale your client base without increasing headcount\n* Replace $5,000-10,000 monthly research costs with a single, efficient tool\n\n**In-House Marketing Teams**\n\n* Reduce or eliminate dependency on external agencies\n* Get instant, data-driven answers to SEO questions\n* Make faster decisions with insights pulled in real time\n\n## Real Results 📈\n\n* One user jumped from position 14 to 4 in two weeks\n* Teams capturing featured snippets for 30% of keywords\n* Agencies replacing $5,000-10,000 monthly costs\n* Content teams turning 2-week cycles into minutes\n\n## What's Next: The Full Marketing AI Agent 🔮\n\n![SEO AI Agent Dashboard](/media/?type=post&id=87645&key=user_uploads/490043/2e3af77c-fdd8-4e01-af26-31fa58c4b7f9)\n\nThis SEO Agent is just the start. We're building:\n\n1. Social Media Agent: Post scheduling, engagement and analytics\n2. Ads Agent: Multi-platform campaign management\n\nOur vision is an end-to-end marketing system where AI agents work together seamlessly.\n\n## Our Ask 🤝\n\n1. Try the SEO AI Agent free: <https://app.writesonic.com/signup>\n2. Share feedback, especially if you're:\n   * A business/startup owner trying to grow your business\n   * A marketing team fighting manual workflows\n   * An agency owner looking to scale\n3. Questions? Email [sam@writesonic.com](mailto:sam@writesonic.com)\n\nThe future of SEO is automated, integrated, and intelligent. We'd love your feedback on making it even better.",
        "url": "https://www.ycombinator.com/launches/Mnd-writesonic-the-ai-seo-agent-that-replaces-10k-month-agencies",
        "votes": 24,
        "created_at": "2025-02-13T16:17:23.820Z"
      },
      {
        "id": 76934,
        "title": "GPT Router - API gateway for LLMs",
        "tagline": "Automatically route between 30+ LLMs, Vision and Image Models based on latency and uptime.",
        "body": "**Tl;dr:** GPTRouter is an open source LLM API Gateway that offers a universal API for 30+ LLMs, vision, and image models, with smart fallbacks based on uptime and latency, automatic retries, and streaming. Stay operational even when OpenAI is down. [Try it out today.](https://github.com/Writesonic/GPTRouter)\n\nWe are open-sourcing [**GPTRouter**](https://github.com/Writesonic/GPTRouter), an LLMOps tool we have been using internally at [**Writesonic**](https://www.linkedin.com/feed/update/urn:li:activity:7141049399975075841/#) for handling millions of monthly requests for our users.\n\n![uploaded image](/media/?type=post&id=76934&key=user_uploads/490043/69dec2e5-ab07-4bda-b21c-2132c2f10bd9)\n\n✅ Universal API for 30+ LLMs, Vision and Image Models\n\n✅ Smart Fallbacks based on latency and uptime\n\n✅ Automatic Retries\n\n✅ Supports streaming\n\n## Why we built it\n\nSince embracing OpenAI GPT-3 in production in 2020, we at Writesonic have been serving millions of users and faced the typical scaling pains with generative AI models:\n\n1\\. Dependency on a single model risked total downtime.\n\n2\\. Latency issues with models like GPT-4 affected user experience.\n\n3\\. Integrating various models was tough due to different APIs and SDKs.\n\n**🌟 Early this year at Writesonic, we set out with a clear vision: to become model agnostic.**\n\nFaced with single-model limitations and diverse AI challenges, we began building GPTRouter - our bespoke solution to navigate and thrive in a multi-model AI world.\n\n**🔗 With GPTRouter's Universal API, you're the master of AI models.**\n\nSwap between OpenAI, Azure, Anthropic, Replicate, Cohere & more with just one line of code.\n\nIt simplifies model management to a great extent.\n\n![uploaded image](/media/?type=post&id=76934&key=user_uploads/490043/faa03edd-ebda-469b-8731-297fd33f0ffc)\n\n**🛡️ Downtime isn't an option.**\n\nGPTRouter's Smart Fallbacks mean your service is always on.\n\nYou can define a hierarchy of models for each use case. GPTRouter will constantly check for uptime/downtime, latency and other factors, and automatically fallback to the next best model with zero interruption.\n\n**♻️ Say goodbye to manual retries.**\n\nGPTRouter does the heavy lifting with Automatic Retries for failed requests, keeping your AI services sharp and consistent.\n\n**🌟 **[**GPTRouter's**](https://github.com/Writesonic/GPTRouter)** Edge:**\n\n✅ Universal API for seamless model switching.\n\n✅ Smart, automatic fallbacks for continuous service.\n\n✅ Reduced latencies for quick interactions.\n\nThis is just the starting point. We are also working on integrations with Langchain and Llamaindex.\n\nAdditionally, we will also be open sourcing our frontend LLMOps layer that provides a playground to test multiple models in parallel, keep a tab on the latencies for each model, track tokens and costs for each model and user all in one place.\n\n📈 With GPTRouter, we're not just solving our problems at Writesonic; we're offering a solution to other startups and companies looking to make use of Generative AI in production.\n\nTry it out here: <https://github.com/Writesonic/GPTRouter>\n\n### **🙏 Asks**\n\n[Do try it out](https://github.com/Writesonic/GPTRouter) and share your feedback at sam at [writesonic.com](http://writesonic.com) or open an issue on [Github](https://github.com/Writesonic/GPTRouter).",
        "url": "https://www.ycombinator.com/launches/K0s-gpt-router-api-gateway-for-llms",
        "votes": 11,
        "created_at": "2023-12-15T16:18:41.578Z"
      },
      {
        "id": 68110,
        "title": "ChatSonic 💬 - Like ChatGPT but with real-time data, images & voice search",
        "tagline": "ChatGPT is great but limited to 2021 info. Say hi to Chatsonic - a chatGPT-like chatbot that integrates with Google Search to create content with the latest information. Additionally, it can create digital images and respond to voice commands.",
        "body": "**TLDR: ChatSonic surpasses the limitations of ChatGPT to give you factually correct results. Additionally, it can create digital images and respond to voice commands like Siri.**\n\n<https://www.youtube.com/watch?v=KzK4C87GkqE>\n\nChatSonic is a powerful chatbot, powered by Google Search, allowing it to provide up-to-date and accurate content and hence superior to ChatGPT which can not generate content on topics after September 2021. Additionally, it can create digital images and respond to voice commands and many more additional features. So, ChatSonic has addressed all the limitations of ChatGPT.\n\n### ChatSonic can do more than what ChatGPT does:\n\n**🌐 Provides up-to-date factual information by using Google's knowledge graph** \n\nWe've integrated Google search into our chatbot to provide hyper-relevant content on any given topic, so you can always stay up to date.\n\n![](https://lh5.googleusercontent.com/xUw2dLycx8xyWJLTJBFTJtt7cStNrb8ZrVdouu9Uj1HV5QN5lVBSRGcjdNOSVuMBdXYwPIQaK9lme4FF6aprmhIwtbTx58TqPFQelCj16iV58_M5FUHw9WTz9mq7-Jf346zNRhfnzjcYSBcVT024o4qvJQb-WyHjUzffx7zKZehe0BvYovygBniHuaWphg)\n\n**🎨 Generates digital art and paintings from chat**\n\nChatsonic can also generate stunning digital artwork and images using AI so that you can bring your ideas to life.\n\n![](https://lh6.googleusercontent.com/TXxpsi62j8fT5svcw70UeZjxQumGXb4YCLt2Zwvx1Xok5ILX2hIHsY5SoaTXwmTB8aI1nohgVLetNO-6W7LE7dgDzdlEVfhx9XZHLD3Xg7YZ2L58Ivbk6FIoRrjtbN1T_VSeF2qdklrTX6BqJiaSe1GCvmRMxMFU3Mao9MGUK4QIhQf3ylbmT_XCsia9dg)\n\n**🗣️ Understands voice commands and talks back responses like Siri**\n\nWhy write when you can speak? Ask ChatSonic what you need via voice commands and have it read back the responses to you, just like Siri or Google Assistant does—you’ll be surprised!\n\n**🧠 Maintains the context of your conversations. Feels like you’re talking to a human**\n\nChatSonic maintains the context of your conversations just like you would with a person. It remembers past questions or comments in your conversation and can easily answer follow-up questions.\n\n![](https://lh4.googleusercontent.com/EFXUSQpnbeaLdpMgOyrUyuFw3G0v9pOakaH4XV9aNPfyL5Nw2SpwDZNndGw5x9i0IIs9JyDKag96h1OOPc6vja3tKmNJlaTRwd4aV_KmbmyPNNQkWIRvxlvq_3sFyK6mZPfIQ3SgU1L4W7dlX-H8NFj8QRB5Sc19_H-d06zZnf1WmmzdCkP1PqYIL5y6Aw)\n\n**🔗 Gives you the option to share, edit, or download your conversations**\n\nShare a specific response or even your entire conversations with your friends, colleagues, family, and followers.\n\n![](https://lh3.googleusercontent.com/tSwgstnhH_HC3gKtsn5rYDAIZAUz16t3gdGkBeUtcMhinACIxs9NCyt3AwBr571dv89-SswfeCEIDMrcya7J5JLU7QvFiqrizxLaRiDqXZ1cAa-QFMZP-k5K5eXgaHNABAzqOxKnLs07F3DsZNZ3AZBQsS6SKPfgd6NutL8wN9mlZJ4GHccz2vkbDeSMPQ)\n\n**🦸 Talk to a Personalized Avatar**\n\nTalk with your own personal avatar! Select your personality - English tutor, fitness trainer, Math teacher, and more - and ChatSonic will behave like them, providing accurate answers.\n\n![](https://lh5.googleusercontent.com/X2f-ePhJZhqDZPRlBxAkZvJh9nlEfIXfq7GbgTOpPVgrEKIOGhx0u_KEtAm9w6aG7QsItr7VPrkqe86DdASewDUnw-PNm17wvhycF-cZuJd95lflwr81nFb_THwUbTYE0rWK6weOBCQEv6MKaRj9N05lF7syXKWRM0jkkBZ5f9QsTcC2ccfpyZtrICtnNQ)\n\n**👨‍💻 Provides an API**\n\nChatSonic can be integrated with other applications and services through our simple-to-use API.\n\n_Insane, right?!_ \n\n**ChatSonic by Writesonic was one of the top products of the week on ProductHunt, with 3000+ upvotes.** \n\nAnd not everyone knows this, but we release new features almost every single day.\n\nWe're excited to bring you this amazing product, and we hope you'll try it.\n\nLooking forward to your feedback and suggestions 🙏",
        "url": "https://www.ycombinator.com/launches/HiY-chatsonic-like-chatgpt-but-with-real-time-data-images-voice-search",
        "votes": 41,
        "created_at": "2022-12-29T09:05:53.089Z"
      }
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    "id": 24538,
    "name": "Coast",
    "slug": "coast",
    "former_names": [
      "Buffd"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed33f81f04c7a7660bb89ef0d677adf2dcf0179e.png",
    "website": "https://trycoast.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "The first AI-powered demo platform designed to sell, market and implement technical products with ease. Our visual platform makes APIs more accessible and accelerates commercialization, enabling high-impact digital transformation for the world’s largest enterprises.",
    "one_liner": "Demo Platform for API-First Companies",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1647531815,
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      "API"
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    "batch": "Summer 2021",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/coast",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/coast.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
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      {
        "user_id": 344664,
        "full_name": "Spencer Levitt",
        "title": "Founder",
        "founder_bio": "Co-founder at Coast",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/spencer-levitt",
        "x_url": "https://twitter.com/spencermlevitt",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c430b109e3aa2c038d3f6ed00efd0bc0037713f.jpg"
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        "user_id": 361041,
        "full_name": "Austin Pager",
        "title": "Founder",
        "founder_bio": "Co-founder at Coast. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/austin-pager/",
        "x_url": "",
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    ],
    "jobs": [
      {
        "id": 66888,
        "title": "Technical Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/coast/jobs/6OkeH0b-technical-solutions-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$120K - $175K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "HTML",
          "JavaScript",
          "Figma",
          "Illustrator"
        ]
      },
      {
        "id": 68247,
        "title": "Technical Account Manager",
        "url": "https://www.ycombinator.com/companies/coast/jobs/aKaS86h-technical-account-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript"
        ]
      },
      {
        "id": 68586,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/coast/jobs/330lPgZ-enterprise-account-executive",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 69578,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/coast/jobs/ms86GPV-senior-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $215K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "MongoDB",
          "React",
          "React Native"
        ]
      },
      {
        "id": 71152,
        "title": "Design Engineer, Product",
        "url": "https://www.ycombinator.com/companies/coast/jobs/RCMnjjA-design-engineer-product",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $215K",
        "equity_range": "",
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          "MongoDB",
          "React",
          "React Native"
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      },
      {
        "id": 78960,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/coast/jobs/R9FnGRK-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $225K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79725,
        "title": "Developer Relations",
        "url": "https://www.ycombinator.com/companies/coast/jobs/BGupCWi-developer-relations",
        "location": "New York, NY, US",
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        "url": "https://www.geoweeknews.com/news/tech-reality-capture-mach9-launches-new-geospatial-software-platform-aimed-at-infrastructure-space?utm_source=social&utm_medium=linkedin&utm_campaign=5msocial",
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        "id": 99241,
        "title": "Mach9 - Make Maps Fast. AI-Powered CAD Software for Reality Capture",
        "tagline": "We help infrastructure survey and engineering teams turn raw point cloud data into engineering-ready CAD/GIS deliverables up to 100x faster.",
        "body": "Hi everyone! \n\nWe’re [Alex](https://www.linkedin.com/in/alexbaikovitz/), [Zach](https://www.linkedin.com/in/zachsussman/), [Haowen](https://www.linkedin.com/in/haowensh/), and [Michael ](https://www.linkedin.com/in/mmong/)- co-founders of [Mach9](https://mach9.ai/). \n\n**📍TLDR**: \n\nMach9's Digital Surveyor 2 is a geospatial platform that turns LiDAR point clouds into engineering-ready deliverables up to 100x faster. Its AI-powered extraction engine identifies and extracts linear features — including curbs, pavement edges, guardrails, and barriers — and learns from each user's edits to improve accuracy over time.\n\nSurvey and engineering teams at Langan, Olsson, HDR, Woolpert, Michael Baker International, and major utilities and state DOTs already use it in production.\n\nCheck out our Digital Surveyor 2 Launch Video:\n\n[**https://youtu.be/XoISK5nx87E?si=mzcrxg5uI3hynSm2**](https://youtu.be/XoISK5nx87E?si=mzcrxg5uI3hynSm2)\n\n**❌ The Problem**\n\nEvery road, bridge, fiber network, and utility corridor project starts with a survey. Increasingly, that survey is done with LiDAR scans encompassing millions of points.\n\n**But here's the thing**: Collecting data isn't the hard part anymore, turning it into engineering ready deliverables is. Today, that work is being done manually. Skilled technicians sit in front of a screen and trace features one by one across potentially thousands of features. Paint lines, curbs, poles, signs, guardrails. Mile after mile.\n\n**As a result**: Firms turn down work they could win, deadlines slip, and the most expensive bottleneck of the workflow is the part that hasn't changed in 20 years.\n\n**✅ Our Solution**\n\nDigital Surveyor 2 is a web-based CAD application where AI works alongside drafters to extract features from point cloud data dramatically faster — without sacrificing the precision their clients require.\n\nHere's what makes it different:\n\n🔹 **AI that drafts with you**. \n\nThe feature extraction engine in Digital Surveyor 2 suggests linear features, such as curbs, pavement edges, guardrails, and barriers directly from LiDAR point clouds — and adapts to the user’s drawing patterns. As users draw, the software picks up on their patterns and refines its suggestions in real time.\n\n![uploaded image](/media/?type=post&id=99241&key=user_uploads/311199/ca66f2e8-267b-4693-83ec-81b92eabb558)\n\n🔹 **Field-to-finish in one environment**. \n\nIngest point cloud data from any system such as RIEGL, Trimble, or Leica scanners. Extract features with AI-assisted workflows and precision tools. Easily QA everything in 3D. Export directly into AutoCAD, MicroStation, or ESRI. No switching between tools. No preprocessing pipeline.\n\n🔹 **Built for the people who do this work**. \n\nDS2 was designed so that a surveyor who knows where points go in the field can be productive on day one. Surveyors, field techs, and project managers can easily be working in it with minimal ramp time or CAD expertise.\n\n![uploaded image](/media/?type=post&id=99241&key=user_uploads/311199/e5e82676-f1fd-4bcd-bd86-fcca46636e29)\n\n🙏 **Our Ask**\n\n* **👉 Follow us** — Stay up to date with what we're building. Follow Mach9 on[ ](https://www.linkedin.com/company/mach9)[LinkedIn](https://www.linkedin.com/company/mach9geo).\n* **🔗 Intro us** — Know someone at a electric / telecom utility, data center owner, DOT, or survey/engineering firm that works with LiDAR or mobile mapping data? A warm intro goes a long way. We're especially looking to connect with survey and engineering leaders, mobile mapping teams, CAD/GIS technicians, and geospatial production leads.\n* **🚀 Try it yourself** — If your team is turning point clouds into deliverables today, we'd love to show you what DS2 can do. [Get started here](http://mach9.ai/get-started?utm_source=YC&utm_medium=article&utm_campaign=launch_post).\n* 💼 **We're hiring** — We're building engineering software to transform the $3 trillion global infrastructure industry. If you want to work on hard problems at the intersection of AI, geospatial, and computer graphics, we're scaling across GTM, engineering, and operations. Check out our open roles [here](https://jobs.ashbyhq.com/mach9).\n\n![uploaded image](/media/?type=post&id=99241&key=user_uploads/311199/d7592b72-f824-4cf8-9921-48b5b14674fc)\n\n",
        "url": "https://www.ycombinator.com/launches/Pof-mach9-make-maps-fast-ai-powered-cad-software-for-reality-capture",
        "votes": 29,
        "created_at": "2026-03-30T20:07:04.564Z"
      }
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    "long_description": "Give your Ops teams the power to build the tools your business needs, with native data, logic, automation, and AI — without code",
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        "body": "### **TLDR**\n\nIt usually takes less than 20 minutes to build your first internal tool with Noloco, without writing a line of code. We’d love to help other startups improve their internal tooling while freeing up their developer resources. Try Noloco today and check out our YC Deal for the current batch and alumni.\n\n* [Sign up](https://portals.noloco.io/register?utm_source=yc&utm_medium=forum&utm_campaign=launch)\n* [YC Deal](https://bookface.ycombinator.com/deals/1610)\n* [Guides](https://guides.noloco.io/?utm_source=yc&utm_medium=forum&utm_campaign=launch)\n* [Video Tutorials](https://noloco.io/video-tutorials?utm_source=yc&utm_medium=forum&utm_campaign=launch)\n\n![uploaded image](/media/?type=post&id=68486&key=user_uploads/567509/236105a3-2bbd-4c56-be5a-5d37f5edd08e)\n\n### **🤔 What’s the problem?**\n\nMany of us have experienced the pains of internal tooling in startups and scale-ups. From a management point of view, engineering resources dedicated to internal tooling are wasted as they should be focusing on customer-facing products. For developers, it’s a chore to work on unloved parts of the codebase that aren’t a priority for the business. And for other stakeholders in Product, Ops and Support, there’s never enough capacity to build the tools they desperately need, while the ones they have are slow, cluttered and the UX is often poor. \n\n### **🙌 How does Noloco help?**\n\n[Noloco](https://noloco.io?utm_source=bookface&utm_medium=forum&utm_campaign=postgres) is the no-code platform for teams to instantly create internal tools from databases like PostgreSQL, MySQL, Airtable & Google Sheets.\n\nOnce you connect your data source (e.g. PostgreSQL), Noloco automatically builds an app for you from your chosen tables including collection views (e.g. tables and kanban boards), record pages to view individual records and forms to add new records.\n\nNoloco provides a totally no-code builder. This genuinely makes building and configuring internal tools 10x faster. With our no-code first approach, Noloco also removes the reliance on engineers whenever your Ops, Customer Support, Product or Sales team want to make any changes or add new tools.\n\n![uploaded image](/media/?type=post&id=68486&key=user_uploads/567509/8fb689b6-3b51-4d51-8691-67e67803b002)\n\n### **🛠️ What can I build with Noloco?**\n\nCustomers around the world have built hundreds of internal tools with Noloco for a variety of use cases, including:\n\n* Internal tool for your customer support team to update customer plans\n* CRM to keep customer info up to date and trigger automated workflows\n* Dashboards to monitor product usage, sign-ups and converted customers\n* Project management tool for your Ops team \n\n### **⏰ Build your first internal tool in 20 minutes**\n\nMost customers find that they can build a functional, useful tool for their teammates to view or update data in their database within 20 minutes. This is because Noloco does so much of the work for you in building the basic structure and pages of your app. \n\nIf you’d like to try building internal tools for your team without writing a line of code, you can [sign up here](https://portals.noloco.io/register?utm_source=yc&utm_medium=forum&utm_campaign=launch).\n\nWe also have lots of useful resources to help you:\n\n* [Guides](https://guides.noloco.io/?utm_source=yc&utm_medium=forum&utm_campaign=launch)\n* [Video Tutorials](https://noloco.io/video-tutorials?utm_source=yc&utm_medium=forum&utm_campaign=launch) \n\n### **💸 YC Deal**\n\nWe’ve published our first YC Deal - see [redemption instructions](https://bookface.ycombinator.com/deals/1610) here.\n\nCurrent batch:\n\n* Free during the batch\n* 50% off all paid plans for your first 6 months after the batch\n\nAlumni:\n\n* 50% off all paid plans for your first 6 months \n\n### **🙏 Asks**\n\n[Sign up](https://portals.noloco.io/register?utm_source=yc&utm_medium=forum&utm_campaign=launch) and see how quickly you can build internal tools for your team with Noloco.",
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        "body": "![uploaded image](/media/?type=post&id=81738&key=user_uploads/3186/9e3e30fb-3ddb-47e7-aabf-860697f5ffb5)\n\n**TL;DR**\n\nBytebot uses AI to handle web data extraction and form filling. Developers use us to save time and effort, writing robust web scraping and automation logic that is reusable across many websites. Get started [here](http://app.bytebot.ai/auth/sign-up), and book some time with us [here](https://calendly.com/bytebot/bytebot-overview?back=1&month=2024-03).\n\n**❌ The Problem**\n\nBrowser scraping and web automation can be incredibly time-consuming and complex, often requiring a detailed and deep understanding of the web elements involved. Traditional methods are slow to iterate and can be difficult to scale, especially for startups and large companies.\n\nToday, you might:\n\n* Spend hours building scripts, hunting through HTML for the right selectors/xpaths\n* Waste effort debugging and maintaining scripts that break after page layout changes\n* Struggle with captchas, IP address rotation\n\n**💫 The Solution**\n\nBytebot simplifies and streamlines browser automation by translating your natural language prompts into intricate web tasks, from data extracting to website monitoring to form filling.\n\nBenefits include: \n\n* Eliminating time spent hunting for selectors or xpaths, as you can just prompt what you would like to happen instead\n* Allowing you to design scripts with  prompts that are reusable across multiple websites or domains\n* Providing robust and self-healing scripts that can adapt to website layout changes or updates\n\n![uploaded image](/media/?type=post&id=81738&key=user_uploads/3186/cb84607a-1f46-48f4-ad7b-c1c5f61dda6d)\n\n**⚒️How It Works**\n\nBytebot lets developers focus more on the prompting and less on the maintenance. Instead of writing complex scripts, you simply describe what you want to do, like _\"Add the item to the shopping cart\"_ or “_Login in with these credentials_“ and Bytebot handles the rest.\n\n![uploaded image](/media/?type=post&id=81738&key=user_uploads/3186/5317da8e-9760-4477-9a23-45ea0db84bc8)\n\nBehind the scenes, Bytebot takes a snapshot of a given webpage and leverages LLMs to translate prompts into the appropriate browser actions.\n\n![uploaded image](/media/?type=post&id=81738&key=user_uploads/3186/27874219-8f4a-4fcd-8480-21d039d83be6)\n\n**Speeding Up Automations**\n\nBytebot significantly speeds up the development cycle. Faster iterations enable companies to test and experiment with workflows without lengthy setup times. This increase in efficiency leads to higher ROI, as teams can focus on high-impact projects instead of getting bogged down by repetitive tasks.\n\n<https://youtu.be/v2e3Z3suQTs>\n\n**Versatile for All Users**\n\n Bytebot is designed for users of all technical levels:\n\n* **For Companies with Existing Infrastructure:** If your company already has a mature Puppeteer or Playwright setup, Bytebot integrates seamlessly. You can quickly hook Bytebot into your existing scripts without overhauling your current system.\n* **For Companies Needing Browser Support:** If you don't want to manage browser infrastructure, our Hosted Browser API has you covered. We'll handle running the browser, and you can interact with Bytebot without worrying about captchas and IP address rotation.\n*  **For Non-Technical Users:** For the quickest setup and experimentation, our Playground (coming soon!) offers a no-code UI, with a live browser view.\n\n**🙏Our Asks**\n\n* [Sign up](http://app.bytebot.ai/auth/sign-up) to try Bytebot! Our tiered [pricing](https://www.bytebot.ai/#pricing) has options for individual engineers and companies of all sizes.\n* Follow Us on [LinkedIn](https://www.linkedin.com/company/bytebot-ai) and [Twitter](https://twitter.com/bytebot_ai) for new features, updates, and industry insights.\n* Share Bytebot with anyone who is looking to streamline their web automation.\n* If you have a few minutes to chat about Bytebot, book a time [here](https://calendly.com/bytebot/bytebot-overview?back=1&month=2024-03).",
        "url": "https://www.ycombinator.com/launches/LGM-bytebot-the-easiest-way-to-get-web-data",
        "votes": 61,
        "created_at": "2024-06-25T18:02:20.114Z"
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        "id": 65668,
        "title": "🔒 Strac Zendesk Redactor",
        "tagline": "Protect Your Zendesk Account & Comply with Privacy Laws!",
        "body": "Hi YC!\n\nI'm [**Aatish**](https://www.linkedin.com/in/aatishmandelecha/) and today we're excited to launch **Strac’s Zendesk Redactor!**\n\n## **Problem 😠**\n\nCustomers post sensitive personal information (PII or PHI) on zendesk tickets for a given business function. Some of the burning reasons on why your Zendesk account needs to be protected:\n\n* **Data Leaks:** All organizations are subject to security attacks. Zendesk is also not immune. In 2016 Zendesk was subject to a [data breach exposing 10,000 Zendesk accounts](https://support.zendesk.com/hc/en-us/articles/4408824583578-Updated-FAQ-regarding-2016-Security-Incident-) where sensitive PII (Personally Identifiable Information) was accessed.\n* **Insider Attacks:** Between 2018 and 2020, there was a [47% increase in insider threat incidents](https://www.tessian.com/blog/insider-threat-statistics/). This includes malicious data exfiltration and accidental data loss.‍\n* **Compliance:** Every day government legislation is passing Consumer Privacy laws geared to protect consumer data from malicious entities. California and Illinois have been the latest to introduce these laws, including a Biometric Information Privacy Act. For many organizations, data can be spread across a wide range of systems, which can be challenging to keep up with Privacy law enactments. It is a nightmare for companies to do manual cleanup of those sensitive messages sitting within your employee's zendesk account as deep inspection is time consuming and error-prone. At the same time, you need to stay compliant and prevent exfiltration of sensitive data.\n\n## **Solution** 🚀\n\nStrac Zendesk App is a Data Loss Prevention (DLP) software. It masks (aka redacts) sensitive comments and attachments while still giving the opportunity to authorized users to view those zendesk tickets in Strac UI Vault. A business can configure a list of sensitive data elements (SSN, DoB, DL, Passport, CC#, Debit Card, API Keys, etc.) to redact. Compliance, Risk and Security officers will get audit reports of who accessed what messages.\n\nBelow is a sample list of sensitive data elements that will be detected & redacted:\n\n* PII: Name, Address, Email, Phone, DoB, Age, Gender, Ethnicity, etc.\n* Identification: Drivers License, Passport, SSN (Social Security Number), etc.\n* Payments: Credit Card, Debit Card, Bank Account, Routing Numbers, etc.\n* Credentials: API Keys, Passwords, Passphrases etc.\n* Crypto Secrets: Bitcoin, Ethereum, Litecoin Addresses, etc.\n* PHI: PII data, Medical Record Number (MRN), Medical Notes, etc.\n* Physical Network: IP Addresses, MAC Address, etc.\n* Custom: Create your own rules or use regex\n\nPlease checkout our demo: <https://youtu.be/pto-VdAsCTs>\n\n### **YC Offer 🎉**\n\n1. FREE Redaction for your entire Zendesk account\n2. Book a Demo on our website: <https://strac.io> ",
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        "votes": 15,
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        "title": "Ravion – the easiest way to use AWS for agents and humans",
        "tagline": "Get a Vercel-like experience in your own AWS account. You and your agents get one place to manage and monitor Terraform resources, builds, and deploys.",
        "body": "**TL;DR:** Ravion is the easiest way to use AWS for agents and humans. Get a Vercel-like experience in your own AWS account, with one place to manage and monitor Terraform resources, builds, and deploys. Use your existing Terraform or start with our standard library of modules, then customize as your needs grow.\n\n![uploaded image](/media/?type=post&id=114496&key=user_uploads/280296/a5bdea0f-19b9-46f4-8553-35cd76b2c238)\n\n![uploaded image](/media/?type=post&id=114496&key=user_uploads/280296/841484c9-539d-4f3d-bb30-6770859a1a03)\n\n<https://www.youtube.com/watch?v=Fp5R5v8Uon4>\n\nWe launched Flightcontrol during W22 to make AWS as easy as using a PaaS. Over the past five years, Flightcontrol managed millions of AWS compute for thousands of users. Developers loved it, but devops teams needed something they could extend and govern.\n\nBefore AI, we were pursuing ease of use and good DX, but that’s less important now. Today when evaluating products, we want the most powerful product in the market that is also agent-friendly.\n\nRavion is what we built from scratch over the past 13 months for this new world.\n\n**WHAT IT IS**\n\nRavion is the agent-native cloud infrastructure platform that gives you one system to orchestrate everything in your AWS account.\n\n**Import or provision** new infrastructure, **build** and **deploy** any type of application, and **monitor** logs and metrics, all from one agent-friendly platform.\n\nUse your existing Terraform or start with our standard library of Terraform-backed modules.\n\n**Saves time and tokens** because AI agents get typed module schemas and connected context across infrastructure state, deployments, failures, logs and metrics.\n\n**Enhances safety** by gating infrastructure changes on preview plans and approval gates.\n\nThe result is a production-grade AWS DevOps system that you didn’t have to assemble from scratch and is fully customizable as your needs change.\n\n> I love Ravion's agent-friendly structure for getting great defaults on AWS while still being able to customize deployments just the way we need. And their support has been invaluable.” -Edgars Jekabsons, Engineering Manager at Ember\n\n**HOW YOU CAN USE IT**\n\n* **Start fresh:** use our production-ready module library to deploy any type of service in a single prompt\n* **Plug and play your existing Terraform:** start with Ravion as an Terraform Cloud or Spacelift alternative, then package existing stacks into governed modules over time.\n* **Have existing AWS infra from click-ops?** Import them into Ravion standard modules so they become tracked by infrastructure-as-code and exposed to agents through Ravion.\n\n**KEY FEATURES**\n\n* Deploy web servers, workers, static sites, Lambda function databases, caches, file storage, and more\n* Standard modules for ECS, EC2, VPC, load balancers, RDS, Aurora, CloudFront, Lambda, S3, Route53, IAM, ElastiCache, and more\n* GitHub action style pipelines that run in your AWS for builds and other CI\n\nLearn more and get started for free at [Ravion.com](https://www.ravion.com?ref=yc)\n\n---",
        "url": "https://www.ycombinator.com/launches/Tmi-ravion-the-easiest-way-to-use-aws-for-agents-and-humans",
        "votes": 8,
        "created_at": "2026-09-10T01:16:17.661Z"
      },
      {
        "id": 76674,
        "title": "Flightcontrol - Developer-first AWS infrastructure",
        "tagline": "Use the best AWS services without tedious infra work",
        "body": "AWS has been too intimidating and tedious, causing teams to settle for a simplistic black-box PaaS or hiring DevOps too early. But no more! 🙅🏼\n\nOur **Developer-first AWS infrastructure** enables you to use the best AWS services without manual infra work. In fact, you might even call it delightful 😍\n\n![](https://www.flightcontrol.dev/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F98758%2F1699399752-browser-min.png%3Ffit%3Dcrop%26q%3D90&w=3840&q=75)\n\n**Simple setup**\n\n1️⃣ Connect your GitHub & AWS accounts in 1-click\\\n2️⃣ Zero config or customize to your heart’s content\\\n3️⃣ Relax while we deploy to your AWS\\\n4️⃣ Never worry about hitting the technical or cost limits of black box PaaS\n\n**Deploy every language, globally**\n\n✅ Servers, background workers, static sites, databases, redis. Coming: cron, Lambda and more\\\n✅ Every language and framework\\\n✅ Use all 32 AWS regions. Multi-region deploys are in early access\n\n**A few years ago** I was building an app that should have been using native AWS services. I tried, but it was too hard. So I ended up on Vercel with a Frankenstein collection of third-party services. It worked ok until I accidentally racked up a $6,000 bill 😬 That was my fault, but the rickety setup of callbacks and lambda chains made it much easier to fail.\n\nSo I thought, why can’t I have a great developer experience on my own AWS account?! Then I met [**@Mina Abadir**](https://www.linkedin.com/in/mabadir/) who has been using AWS since S3 & EC2 were all they had. He had the same vision of a better cloud, so we joined forces and the rest is history!\n\n**You can now easily deploy and manage AWS services without having to use AWS console or CLI.** The all-new dashboard has runtime logs, metrics, and even live AWS cost reporting.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=76674&key=user_uploads/280296/fb138ef1-3f3a-476b-8b35-ed751e7a35cd)\n\n2\\.0 barely scratches our vision. But it's now a mature product we're really proud of!\n\nCompanies of all sizes from startups to Series H are now using us to deploy thousands of times each month.\n\n**We’re known for providing an exceptional level of support.** So whether you are just starting or have a massive setup to migrate, we’re available to help and make sure everything goes smoothly.\n\n**If you are even a little bit frustrated** with your current infra setup, I invite you to take Flightcontrol for a test flight!\n\nStart a free trial: [**www.Flightcontrol.dev**](https://www.Flightcontrol.dev?ref=launchyc)",
        "url": "https://www.ycombinator.com/launches/Jwg-flightcontrol-developer-first-aws-infrastructure",
        "votes": 16,
        "created_at": "2023-12-05T16:23:03.821Z"
      }
    ]
  },
  {
    "id": 25314,
    "name": "Trellus",
    "slug": "trellus",
    "former_names": [
      "Databridge",
      "Capricorn",
      "Outpost"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ac35e11423cda97ca4eaf626723895e8148a986.png",
    "website": "https://www.trellus.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Trellus delivers simple coaching prompts to your salespeople in real time as they speak to prospects. Prompts are delivered in response to what is happening in a conversation. The goal of these prompts is to get more reps achieving quota and to reduce the time it takes to start attaining quota.\r\n\r\nPrompts are action-oriented steps toward empathetic listening and effective discovery. Examples include 'pause' (when talking too much), 'set next steps' (when wrapping up a call without them), and 'ask current state' (when encountering objections).\r\n\r\nTrellus is backed by Y Combinator and founded by former MIT researchers.",
    "one_liner": "Real-time sales coach for SDRs ",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1660574140,
    "tags": [
      "AI-Enhanced Learning",
      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/trellus",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/trellus.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trytrellus/about/",
    "x_url": "https://twitter.com/trellusai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ac35e11423cda97ca4eaf626723895e8148a986.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 832328,
        "full_name": "Ajinkya Nene",
        "title": "Founder",
        "founder_bio": "Ajinkya completed his masters and bachelors in computer science from MIT where he focused on applied ML systems. He has experience in running top-level strategy projects as part of his experience at McKinsey & Co. and has been programming for over a decade. \n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ajinkya-nene-6200b871/",
        "x_url": "https://twitter.com/ajinkya_nene",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b8445e19f47f997e5d0d26b04c89753439aadff.jpg"
      },
      {
        "user_id": 826752,
        "full_name": "Craig Bonnoit",
        "title": "Founder",
        "founder_bio": "Craig has nearly a decade of professional experience leading teams and developing software. His works has spanned multiple domains including real-time autonomous systems and financial derivative pricing. He previously completed a PhD in Physics at MIT focused on computational techniques for experimental data analysis in strongly correlated materials.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/craig-bonnoit/",
        "x_url": "https://twitter.com/craig_bonnoit",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bcd470a2232e1be82cb9c30c630f8ef6fd7b16d8.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Enterprise insights from YC S22 Demo Day | Wing Venture Capital",
        "url": "https://www.wing.vc/content/enterprise-insights-from-yc-s22-demo-day",
        "date": "Jan 16, 2023"
      },
      {
        "title": "Sales Tech Trends to Watch in 2023 and Beyond",
        "url": "https://reply.io/sales-trends-2023/",
        "date": "Dec 22, 2022"
      }
    ],
    "launches": [
      {
        "id": 119735,
        "title": "Trellus: From call list to callback inside Attio and GoHighLevel",
        "tagline": "Power and parallel dialing, call notes, and CRM-linked follow-up—without a CSV handoff.",
        "body": "Hi YC—we're Trellus (W22). We build a power and parallel dialer that works inside the CRM your team already uses.\n\nA call block shouldn't leave you with two lists to reconcile: one in the CRM and another in a dialer. And “call me Friday” shouldn't end up on a sticky note.\n\nWe've previously introduced our Attio and GoHighLevel integrations here. This launch brings the full workflow into focus: start with your CRM audience, have the conversation, save the result, and leave a callback attached to the right record.\n\n## Attio: your People list is the call list\n\nOpen a supported People list or Tasks view, map your phone fields, and choose power dialing or up to five parallel lines on an eligible plan. Keep the person context available while you call.\n\nAfterward, save the outcome and summary to Attio. With the right workspace permissions, Trellus can maintain structured call attributes; otherwise, details go into an Attio note. A requested follow-up can become a Person-linked Trellus Callback Task with a due date.\n\n[Watch the Attio walkthrough](https://www.youtube.com/watch?v=z1wfr5A9uUc)\n\n## GoHighLevel: work the Smart List, then finish the contact\n\nStart in the active HighLevel location's Contacts Smart List. Trellus uses the filtered audience and valid contact phone numbers without a CSV export. Choose power or parallel dialing based on your plan.\n\nWhen the call ends, save a contact note with the selected outcome and available summary, apply a chosen HighLevel tag, and create a contact-linked callback task. Opportunity pipeline or stage views are available when confirmed during setup. Agency-branded domains need compatible site access and a setup check.\n\n[Watch the GoHighLevel walkthrough](https://www.youtube.com/watch?v=cTTAieDWJms)\n\n## Try it on the call block you already run\n\nBring one real CRM view and the follow-up your reps need to save. That's a better starting point than migrating your whole sales process.\n\nThese workflows are for teams running repeatable outbound blocks. If you only make a few calls a day, basic click-to-call may be enough. Calling modes and coaching depend on your Trellus access and workspace setup.\n\n[Explore Trellus for Attio](https://www.trellus.ai/integrations/attio?utm_source=launch_yc&utm_medium=referral&utm_campaign=attio_ghl_call_to_callback_20261006&utm_content=attio) · [Explore Trellus for GoHighLevel](https://www.trellus.ai/integrations/gohighlevel?utm_source=launch_yc&utm_medium=referral&utm_campaign=attio_ghl_call_to_callback_20261006&utm_content=gohighlevel)\n\nTell us which CRM view you call from and what needs to happen after a conversation. We'd love your feedback.\n\n![Trellus connected-call screen alongside a GoHighLevel Contacts Smart List, using demo contacts](https://cdn.prod.website-files.com/633ef5e495fbc54172ea70ad/6a9f50a21e95ee66a59e2d14_trellus-gohighlevel-complete-workflow-2026-09-07.png)\n\n",
        "url": "https://www.ycombinator.com/launches/V9D-trellus-from-call-list-to-callback-inside-attio-and-gohighlevel",
        "votes": 2,
        "created_at": "2026-10-07T14:16:07.449Z"
      },
      {
        "id": 112632,
        "title": "Trellus: Embedded dialing, Salesfloor, and live coaching at half the price of Nooks",
        "tagline": "Run more outbound calls with embedded power and parallel dialing, a live Salesfloor, and real-time coaching in one platform.",
        "body": "\n![uploaded image](/media/?type=post&id=112632&key=user_uploads/832328/f3d998f2-1dec-4aa3-b5ce-2e40154d9dfd)\n\n\n![uploaded image](/media/?type=post&id=112632&key=user_uploads/832328/88403df8-0b92-475b-bde6-87ed22e349db)\n\n\n![uploaded image](/media/?type=post&id=112632&key=user_uploads/832328/fb0a9225-9c8c-4266-8352-9a976fe560e6)\n\nHey everyone — we're Ajinkya and Craig from Trellus (YC W22).\n\n**TL;DR:** Trellus combines embedded power and parallel dialing, a collaborative Salesfloor, and live AI coaching in one product. Reps can dial up to five lines from supported CRM, sales-engagement, prospecting, and spreadsheet workflows. Managers can run call blocks, listen to live calls, coach reps, and pull people into private huddles without leaving the floor. Trellus is typically about half the price of Nooks for teams buying a comparable dialing and Salesfloor workflow.\n\n## The problem\n\nOutbound teams usually stitch together a dialer, their CRM or sales-engagement platform, a virtual sales floor, call recording, analytics, and a coaching tool. Reps bounce between tabs. Managers see the call after it is over. Remote call blocks lose the energy and fast feedback of a real sales floor.\n\nWe built Trellus so the list, the call, the team room, and the coaching loop can stay connected.\n\n## What a call block looks like in Trellus\n\n1. A rep opens the workflow they already use in a supported platform such as Salesforce, HubSpot, Apollo, Attio, lemlist, GoHighLevel, or Google Sheets.\n2. Trellus adds one-line power dialing or up to five-line parallel dialing directly to that workflow, so the rep does not have to rebuild the list in a separate dialer.\n3. The team joins a shared Salesfloor to dial together, see who is active, chat, and celebrate wins.\n4. Managers can listen to live calls and coach in the moment. Trellus can also surface real-time guidance for objections, discovery, pacing, and next steps.\n5. When a conversation needs privacy, a manager can pull a rep or small group into an audio huddle and return them to the shared floor when it is over.\n6. Calls are transcribed and available for team analytics and review after the block.\n\n## One product for the whole calling workflow\n\n* Embedded power dialing and up to five-line parallel dialing\n* Voicemail drops, phone-number rotation, and number-health workflows\n* A live Salesfloor for remote and hybrid call blocks\n* Private manager-rep huddles inside the floor\n* Live listening and real-time coaching\n* Transcripts, call review, scoring, and team analytics\n* Practice conversations with AI roleplay bots\n\nTrellus works on top of the sales tools your team already uses, so reps keep the account context and workflow they know. You get the high-volume dialing and collaborative floor experience without buying a separate product for every step.\n\n## Why we think this matters\n\nNooks helped establish the modern parallel-dialer-plus-salesfloor category. Trellus gives teams that same core buying outcome—more live conversations and a shared place to run call blocks—while adding embedded workflows and live coaching in one product at roughly half the price.\n\nWe are building for sales leaders who want more activity without treating reps like call-center seats, and for reps who want help during the conversation rather than another dashboard after it.\n\n## Our ask\n\nIf your team runs outbound call blocks, try Trellus and tell us where your current workflow breaks. We are especially interested in feedback on embedded dialing, live manager coaching, and how remote teams use private huddles during a floor session.\n\nWatch the [two-minute product walkthrough](https://www.tella.tv/video/2-min-trellus-walkthrough-9b4y).\n\nSee [Trellus for sales teams](https://www.trellus.ai/sales?utm_source=ycombinator&utm_medium=launch&utm_campaign=salesfloor_launch_2026).\n\n[Try Trellus](https://app.trellus.ai/install?utm_source=ycombinator&utm_medium=launch&utm_campaign=salesfloor_launch_2026).\n\n![uploaded image](/media/?type=post&id=112632&key=user_uploads/832328/21b3444b-9071-4e01-bb09-7fa6e8fa525a)\n\n",
        "url": "https://www.ycombinator.com/launches/TIe-trellus-embedded-dialing-salesfloor-and-live-coaching-at-half-the-price-of-nooks",
        "votes": 1,
        "created_at": "2026-08-31T15:02:02.119Z"
      },
      {
        "id": 101968,
        "title": "Trellus: Parallel or Power Dial on any Platform + 50% cheaper than Nooks/Orum",
        "tagline": "Trellus alllows you to parallel dial directly inside your platform of choice (eg Sheets)",
        "body": "Trellus allows you to parallel dial directly in Google Sheets or GoHighLevel. Turn Sheets or GoHighLevel into a full dialing sequencer.\n\nTLDR: Trellus is an AI-powered parallel-dialer + sales coach to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo, Clay, Zoho, Salesforce)\n\nReps using Trellus have seen a 2-3X increase in the number of dials and 25-50+% increases in meeting booked conversion rates — AI assistants are the future of cold calling.\n\nGrab time with our team directly at [www.trellus.ai](https://www.trellus.ai) to get access.\n\nWatch a video on how it works (eg in Google Sheets): <https://www.tella.tv/video/parallel-dialing-in-google-sheets-ghuy>\n\nHow it works\n\n1. Download the Chrome extension at <https://app.trellus.ai/install> and activate parallel dialing\n2. Load up any contact list in GHL or any sheet in Google Sheets, and map your columns to the right fields - Trellus works across all major SEP/CRM platforms\n3. Start parallel dialing and begin booking more meetings\n\nFeatures\n\n1. Seamless integration into your dialer platform of choice (e.g., simply add the Chrome extension)\n2. Parallel or power dialing (takes notes, dispositions calls, hangs up on voicemails)\n3. Real-time AI coaching based on events that occur in the calls\n4. Real-time transcription for all your dials",
        "url": "https://www.ycombinator.com/launches/QWe-trellus-parallel-or-power-dial-on-any-platform-50-cheaper-than-nooks-orum",
        "votes": 3,
        "created_at": "2026-05-26T14:45:22.434Z"
      },
      {
        "id": 100003,
        "title": "Trellus: Parallel/Power Dial directly inside of Attio, Lemlist, Hubspot, Amplemarket, Salesforce, Google Sheets and more",
        "tagline": "Embedded parallel dialing natively inside of Attio, Lemlist, Hubspot, and more",
        "body": "Trellus allows you to parallel dial directly in Attio, Lemlist, Hubspot, Amplemarket, Salesforce, Google Sheets and more\n\nTLDR: Trellus is an AI-powered parallel-dialer + sales coach to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo, Clay, Zoho, Salesforce)\n\nReps using Trellus have seen a 2-3X increase in the number of dials and 25-50+% increases in meeting booked conversion rates — AI assistants are the future of cold calling.\n\nCheck out how to use Trellus on these major platforms in our video guides below\n\nAttio: <https://www.tella.tv/video/using-trellus-dialing-in-attio-3r55>\n\nLemlist: <https://www.tella.tv/video/using-trellus-dialing-in-lemlist-7b0q>\n\nHubspot: <https://www.tella.tv/video/using-trellus-dialing-in-hubspot-5ry5>\n\nSalesforce: <https://www.tella.tv/video/salesforce-walkthrough-g6n3>\n\nGoogle Sheets: <https://www.tella.tv/video/using-trellus-dialing-in-google-sheets-e3al>\\\n\\\nHow it works\n\n1. Download the Chrome extension at <https://app.trellus.ai/install> and activate parallel dialing\n2. Load up any contact list in GHL or any sheet in Google Sheets, and map your columns to the right fields\n3. Start parallel dialing and begin booking more meetings\n\nFeatures\n\n1. Seamless integration into your dialer platform of choice (e.g., simply add the Chrome extension)\n2. Parallel or power dialing (takes notes, dispositions calls, hangs up on voicemails)\n3. Real-time AI coaching based on events that occur in the calls\n4. Real-time transcription for all your dials",
        "url": "https://www.ycombinator.com/launches/Q0x-trellus-parallel-power-dial-directly-inside-of-attio-lemlist-hubspot-amplemarket-salesforce-google-sheets-and-more",
        "votes": 6,
        "created_at": "2026-04-21T14:51:07.698Z"
      },
      {
        "id": 97859,
        "title": "Trellus: Parallel/Power Dial directly inside of Attio",
        "tagline": "Embedded parallel dialing natively inside of Attio within minutes",
        "body": "Trellus allows you to parallel dial directly in Attio\n\nTLDR: Trellus is an AI-powered parallel-dialer + sales coach to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo, Clay, Zoho, Salesforce, Sheets)\n\nReps using Trellus have seen a 2-3X increase in the number of dials and 25-50+% increases in meeting booked conversion rates — AI assistants are the future of cold calling.\n\nYou can try it out directly from our website at [trellus.ai](http://trellus.ai) (see below for how it works)\n\n![uploaded image](/media/?type=post&id=97859&key=user_uploads/832328/ba910ffc-f5f6-4433-9c00-5ff24b882a58)\n\nHow it works\n\n1. Download the Chrome extension at <https://app.trellus.ai/install> and activate parallel dialing\n2. Load up any contact list in Attio\n3. Start parallel dialing and begin booking more meetings\n\nFeatures\n\n1. Seamless integration into your dialer platform of choice (e.g., simply add the Chrome extension)\n2. Parallel or power dialing (takes notes, dispositions calls, hangs up on voicemails)\n3. Real-time AI coaching based on events that occur in the calls\n4. Real-time transcription for all your dials",
        "url": "https://www.ycombinator.com/launches/PSN-trellus-parallel-power-dial-directly-inside-of-attio",
        "votes": 6,
        "created_at": "2026-02-16T19:56:18.096Z"
      },
      {
        "id": 94302,
        "title": "Trellus: Real-time AI + Call Quality assistant for ViciDial",
        "tagline": "Get a real-time AI assistant + automatic call QA for all calls placed through ViciDIAL ",
        "body": "**TLDR**: [_Trellus_](https://trellus.ai/) _is an_ [_AI powered real time sales coach_](https://www.trellus.ai/post/how-does-real-time-sales-ai-coaching-work) _for sales development reps in their cold calls. It guides reps to exceed quota by identifying common situations in sales calls and delivering simple action-oriented suggestions at the moment they are needed. Trellus also completes all post-call work for reps including note-taking and call summarization._ [_Real-time AI is the future of sales support_](https://www.trellus.ai/post/real-time-ai-sales-coaching) _- check out our chrome extension today_ [_here_](https://app.trellus.ai/install-now)\n\n![uploaded image](/media/?type=post&id=94302&key=user_uploads/832328/a165ef44-7cbf-407c-9c33-2bd363d0af1f)\n\n# **The Problem**\n\n**For sales reps** - it is hard to master all the skills necessary to have consistent and repeatable success in prospecting calls. A few examples of what reps need to stay on top of in each call:\n\n1. Who the prospect is and how to build rapport\n2. [What to respond to common cold call objections](https://www.trellus.ai/post/five-common-cold-call-objections)\n3. Any qualification questions that need to be worked through - and the prospect's response\n4. Their own delivery cadence - tempo, talk time, etc.\n5. When to go for the close and book the next steps\n\n**For managers** - it is hard to effectively supervise and train a team of reps since a team of reps has far more (combined) hours to make calls than a manager has time to review them. Existing sales intelligence tools like Gong / Chorus are commonly used for recording and review but offer limited help in coaching reps because [the analytics are less focused on prospecting calls and the feedback is often delayed.](https://www.trellus.ai/post/sales-coaching-is-broken)\n\n# **The Solution**\n\nTrellus solves these issues by giving your sales reps a real-time AI-powered sales coach that is available 24x7 to them. Trellus enables your reps to deliver the right message at the right moment to your prospects.\n\nWe do this by mixing a blend of behavioral and content coaching suggestions to help your sales reps learn best-in-class sales techniques.\n\n### **Features**\n\n* Seamless integration into your dialer platform of choice (it’s as simple as downloading our chrome extension)\n* Behavioral coaching on monologues, cadence with a whole host of features coming soon (filler words, pauses, tone)\n* Objection handling for classic cold call objections (e.g., “I’m not interested) with the ability for your sales enablement team to customize suggested responses for your reps\n* Battle cards for competitors (e.g., “I use X”) - whenever one of your competitors is mentioned on a call, your rep will get suggested talking points\n* Real-time transcription for all your dials\n* Real-time localized data on your prospects (e.g., news, weather) to provide additional data sales reps can leverage to build repertoire\n* Automatic call summarization and disposition entry\n\n### **How you can get started!**\n\n**1) Take it for a spin!** Trellus is totally free for individuals to try out - they can get started in less than 5 seconds by downloading our chrome extension [here](https://app.trellus.ai/demo)\n\n**2) Talk to us!** If you’re interested in trialing Trellus with your sales reps, [grab a quick time slot](https://calendly.com/ajinkya_nene/general-meeting) for a white-glove onboarding or let us know in the comments!",
        "url": "https://www.ycombinator.com/launches/OX0-trellus-real-time-ai-call-quality-assistant-for-vicidial",
        "votes": 8,
        "created_at": "2025-10-03T01:06:47.186Z"
      },
      {
        "id": 93555,
        "title": "Trellus: Parallel/Power Dial directly inside of Google Sheets and GoHighLevel",
        "tagline": "Embedded parallel dialing natively inside of Google Sheets and GoHighLevel within minutes",
        "body": "Trellus allows you to parallel dial directly in Google Sheets or GoHighLevel. Turn Sheets or GoHighLevel into a full dialing sequencer.\n\nTLDR: Trellus is an AI-powered parallel-dialer + sales coach to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo, Clay, Zoho, Salesforce)\n\nReps using Trellus have seen a 2-3X increase in the number of dials and 25-50+% increases in meeting booked conversion rates — AI assistants are the future of cold calling.\n\nGrab time with our team directly at https://calendly.com/ajinkya_nene/meeting to get access.\n\nWatch a video on how it works: https://www.tella.tv/video/parallel-dialing-in-google-sheets-ghuy\n\nHow it works\n\n1. Download the Chrome extension at https://app.trellus.ai/install and activate parallel dialing\n2. Load up any contact list in GHL or any sheet in Google Sheets, and map your columns to the right fields\n3. Start parallel dialing and begin booking more meetings\n\nFeatures\n\n1. Seamless integration into your dialer platform of choice (e.g., simply add the Chrome extension)\n2. Parallel or power dialing (takes notes, dispositions calls, hangs up on voicemails)\n3. Real-time AI coaching based on events that occur in the calls\n4. Real-time transcription for all your dials\n\n![uploaded image](/media/?type=post&id=93555&key=user_uploads/832328/3daf29f0-1be2-4cdc-abc0-135e42133a70)\n\n",
        "url": "https://www.ycombinator.com/launches/OKx-trellus-parallel-power-dial-directly-inside-of-google-sheets-and-gohighlevel",
        "votes": 8,
        "created_at": "2025-09-04T15:02:03.441Z"
      },
      {
        "id": 88465,
        "title": "Trellus: Parallel Dial directly inside of Clay",
        "tagline": "Trellus allows you to parallel dial natively inside of Clay within minutes",
        "body": "# **Trellus allows you to parallel dial directly in Clay - allowing you to turn Clay into a full dialing sequencer**\n\n**TLDR**: [_Trellus_](https://trellus.ai/) _is an_ [AI powered parallel-dialer + sales coach](https://trellus.ai/) to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo)\n\nReps using Trellus have seen a 2-3X increase in number of dials and 25-50+% increases in meeting booked conversion rates — [_AI assistants are the future of cold calling._](https://www.trellus.ai/post/real-time-ai-sales-coaching)\\\n\\\n_Grab time with our team directly _[_here_](https://calendly.com/ajinkya_nene/clay-parallel)_ to get access_\n\n# **How it works**\n\n1. Download the chrome extension at <https://app.trellus.ai/install> and activate parallel dialing\n2. Load up any clay list and map your columns to the right fields\n3. Start parallel dialing and begin booking more meetings\n\n![uploaded image](/media/?type=post&id=88465&key=user_uploads/832328/5499360e-cb6a-49d6-8762-d111a6e15830)\n\n![uploaded image](/media/?type=post&id=88465&key=user_uploads/832328/c42858db-bd7f-4bfe-bce1-ef7ca6c6b53b)\n\n![uploaded image](/media/?type=post&id=88465&key=user_uploads/832328/92a5df42-b068-496b-be27-bbd6329aac4c)\n\n**Features**\n\n* Seamless integration into your dialer platform of choice (e.g. Clay - simply add the chrome extension)\n* Parallel dialing (takes notes, dispositions calls, hangs up on voicemails)\n* Real-time AI coaching based of events that occur in the calls\n* Real-time transcription for all your dials",
        "url": "https://www.ycombinator.com/launches/N0r-trellus-parallel-dial-directly-inside-of-clay",
        "votes": 6,
        "created_at": "2025-03-11T14:52:46.229Z"
      },
      {
        "id": 86681,
        "title": "Trellus - Parallel Dial Directly Inside Hubspot, Salesloft, Outreach, or Apollo",
        "tagline": "Trellus native parallel dialer allows users to dial 5x the number of contacts while staying in the platforms they're used to.",
        "body": "**TLDR**: [Trellus](https://trellus.ai/) _is an_ [AI-powered parallel-dialer](https://www.trellus.ai/post/auto-dialer-vs-parallel-dialer-whats-the-best-choice-for-your-sales-team) _+ sales coach_ that helps you book 5x more meetings on your cold calls. Trellus automates all calling activity (e.g., call dispositions, call notes, choosing which prospects to dial, hanging up on voicemails, etc.) and works natively inside your sales enablement platform or CRM (specifically Outreach, Hubspot, Salesloft, or Apollo).\n\n# Trellus is a chrome extension that turns your SEP or CRM into a parallel dialer. Trellus is also half the price of any competing platform like Nooks or Orum.\n\nBelow is an image of how Trellus operates on top of Outreach. Here’s a [clickable demo](https://app.storylane.io/share/tgkyvivx5ays) that walks you through how it works on different platforms.\n\n![uploaded image](/media/?type=post&id=86681&key=user_uploads/832328/55ff7ef6-064f-4efd-9250-d93761f08f42)\n\nReps using Trellus have seen a 3-5x increase in their cold call output. It’s as simple as adding our Chrome extension [here.](https://chromewebstore.google.com/detail/trellus/enhpjjojmnlnaokmppkkifgaonfojigl)\n\n### **What You Can Expect**\n\nWithin the first week of using Trellus, you can expect your reps to easily place 150+ calls/day directly inside their platform. With standard connection rates of around 10-15%, you can expect reps to have around 10-20 conversations/day.\n\nThere’s limited set-up and training required, given that Trellus works in your existing tech stack, reducing any context switching.\n\n### **How Parallel Dialing Works**\n\n1. Trellus automatically detects voicemails or busy tones to hang up/drop VMs for you automaticall.y\n2. Trellus automatically detects bad numbers and removes them from your system\n3. Trellus automatically detects live connections and routes your reps within seconds of the call to avoid any awkward pauses\n4. Trellus fully syncs with your CRM/SEP to ensure all call logs and records stay consistent with your expectations\n5. Trellus provides automatic AI notes and coaching on every call to ensure your reps are conducting quality calls\n\n### **How To Get Started**\n\n1. Download the chrome extension [here](https://chromewebstore.google.com/detail/trellus/enhpjjojmnlnaokmppkkifgaonfojigl)\n2. Grab time with us [here](https://calendly.com/ajinkya_nene/15min)\n\n   ---\n\nHappy dialing!",
        "url": "https://www.ycombinator.com/launches/MY5-trellus-parallel-dial-directly-inside-hubspot-salesloft-outreach-or-apollo",
        "votes": 11,
        "created_at": "2025-01-08T15:14:41.021Z"
      },
      {
        "id": 83230,
        "title": "Trellus - Add AI to Salesloft, Outreach, Hubspot, or Apollo",
        "tagline": "Trellus adds an AI copilot for cold calling/cold emailing to existing sales platforms.",
        "body": "# Trellus adds an AI copilot for outbound sales to Salesloft, Outreach, Hubspot, Apollo, and others. \n\n### **Reps today face tool fatigue**\n\nSales reps today face tons of tool fatigue when doing their outbound work. It’s a constant balance of managing what’s the latest and greatest in AI with their core tech stack. At [Trellus](https://www.trellus.ai/), we took the view that reps should be able to still live in their existing tools while getting all the benefits of the newest advances in AI.\n\n### **TRELLUS repurposes your existing sales stack with the latest ai tools**\n\nTrellus uses a [Chrome extension](https://chromewebstore.google.com/detail/trellus/enhpjjojmnlnaokmppkkifgaonfojigl) (free to try out!) to inject AI assistance across your workflow - whether that be in researching a prospect, automating your dial work, or deciding what to write as part of your sales emails. By doing this, you can easily **2-3x** your output in your existing stack **without spending $$$$.**\n\n**Get Custom AI Emails directly in your tech stack**\n\nTrellus learns your company’s value prop, understands your prospects, and analyzes previous conversations, all in an effort to generate a personalized AI email that you can send off with one click.\n\n![Trellus AI Copilot Walkthrough 🤖](https://www.tella.tv/api/stories/cm02hdd3t000603lc7fbh9htu/thumb.gif?version=2024-08-20T14:07:08.783Z&resolution=640x360&inpoint=105000)\n\n**Automate all non-dialing work with Trellus’ embedded AI power dialer**\n\nTrellus will automate every single button click you do inside your current dialing tool to make sure you can enter the flow state. Even better, we have Spotify and YouTube integrations that will let you blast tunes while dialing.\n\n![Trellus AI Copilot Walkthrough 🤖](https://www.tella.tv/api/stories/cm02hdd3t000603lc7fbh9htu/thumb.gif?version=2024-08-20T14:07:08.783Z&resolution=640x360&inpoint=167000)\n\n**Get real-time AI suggestions on your cold calls on what to say**\n\nTrellus will give you real-time suggestions and context on your calls. Whether that be on what opener you should use or how to objection handle, Trellus will be there to guide you through the call effectively.\n\n![Trellus AI Copilot Walkthrough 🤖](https://www.tella.tv/api/stories/cm02hdd3t000603lc7fbh9htu/thumb.gif?version=2024-08-20T14:07:08.783Z&resolution=640x360&inpoint=175000)\n\n**Get Automatic Custom AI Research on your prospects with 1-click**\n\nTrellus will analyze the prospect’s website to understand any information you may need on them to better your outbound to them.\n\n![Trellus AI Copilot Walkthrough 🤖](https://www.tella.tv/api/stories/cm02hdd3t000603lc7fbh9htu/thumb.gif?version=2024-08-20T14:07:08.783Z&resolution=640x360&inpoint=175000)\n\n**Watch our full video walk through at** <https://www.youtube.com/watch?v=rsGrmGeP8mc&feature=youtu.be>\n\n**Get started today by grabbing the **[**free Trellus extension**](https://chromewebstore.google.com/detail/trellus/enhpjjojmnlnaokmppkkifgaonfojigl)** or learning more about us** [**HERE.**](https://www.trellus.ai/)\n\n![uploaded image](/media/?type=post&id=83230&key=user_uploads/832328/7083fc17-24ff-4091-be93-f95beae9dba1)\n\n",
        "url": "https://www.ycombinator.com/launches/LeQ-trellus-add-ai-to-salesloft-outreach-hubspot-or-apollo",
        "votes": 12,
        "created_at": "2024-08-20T18:14:34.698Z"
      },
      {
        "id": 77167,
        "title": "Trellus: An embedded AI auto-dialer that's 5x cheaper than any parallel dialer",
        "tagline": "The 10x you need for your cold calls ",
        "body": "**TLDR**: [_Trellus_](https://trellus.ai/) _is an_ [_AI powered auto-dialer + sales coach_](https://trellus.ai/autodialer) to help you book 5x more meetings on your cold calls. Trellus automates all calling activity (e.g., call dispositions, call notes, choosing which prospects to dial, hanging up on voicemails, etc.) while giving your reps real-time suggestions on what to say durinng the call.\n\nReps using Trellus have seen a 2-3X increase in number of dials and 25-50+% increases in meeting booked conversion rates — [_AI assistants are the future of cold calling._](https://www.trellus.ai/post/real-time-ai-sales-coaching)\n\n![uploaded image](/media/?type=post&id=77167&key=user_uploads/832328/655782f0-f7cd-4077-8237-b86caca1ca2f)\n\n### **The Problem**\n\nCold calling without automation is inefficient due to low pickup rates and often times reps are not effectively able to convert prospects who do pick up.\n\nOn the flip side, parallel dialers that offer automation solutions cost $$$ (upwards of $300/rep/month for their base packages).\n\n### **The Solution**\n\nTrellus offers an affordable solution that provides not just call automations but also an AI-powered real-time assistant.\n\nOur AI models automate all mundane calling tasks so that reps are given more time to sell rather than do admin work.\n\n### **Features**\n\n* Seamless integration into your dialer platform of choice (it’s as simple as downloading our chrome extension)\n* Automated dialer (takes notes, dispositions calls, hangs up on voicemails)\n* Real-time AI coaching based of events that occur in the calls\n* Real-time transcription for all your dials\n\n### **How you can get started!**\n\n**1) Check out a demo** [here.](https://trellus.ai/autodialer)\n\n**2) Talk to us!** If you’re interested in trialing Trellus with your sales reps, [grab a quick time slot](https://calendly.com/ajinkya_nene/general-meeting) for a white-glove onboarding or send us an email at [founders@trellus.ai.](mailto:founders@trellus.ai)",
        "url": "https://www.ycombinator.com/launches/K4d-trellus-an-embedded-ai-auto-dialer-that-s-5x-cheaper-than-any-parallel-dialer",
        "votes": 6,
        "created_at": "2024-01-02T20:31:00.659Z"
      },
      {
        "id": 68816,
        "title": "Trellus - real-time sales AI coach for cold calls",
        "tagline": "Trellus - the AI copilot to supercharge your cold call outbound (join 400+ reps and counting today!)",
        "body": "**TLDR**: [_Trellus_](https://trellus.ai/) _is an_ [_AI powered real time sales coach_](https://www.trellus.ai/post/how-does-real-time-sales-ai-coaching-work) _for sales development reps in their cold calls. It guides reps to exceed quota by identifying common situations in sales calls and delivering simple action-oriented suggestions at the moment they are needed. Trellus also completes all post-call work for reps including note-taking and call summarization._ [_Real-time AI is the future of sales support_](https://www.trellus.ai/post/real-time-ai-sales-coaching) _- check out our chrome extension today_ [_here_](https://app.trellus.ai/install-now)\n\n![uploaded image](/media/?type=post&id=68816&key=user_uploads/832328/639aa519-23ad-4c93-a11a-bdbcd74084f0)\n\n# **The Problem**\n\n**For sales reps** - it is hard to master all the skills necessary to have consistent and repeatable success in prospecting calls. A few examples of what reps need to stay on top of in each call:\n\n1. Who the prospect is and how to build rapport\n2. [What to respond to common cold call objections](https://www.trellus.ai/post/five-common-cold-call-objections)\n3. Any qualification questions that need to be worked through - and the prospect's response\n4. Their own delivery cadence - tempo, talk time, etc.\n5. When to go for the close and book the next steps\n\n**For managers** - it is hard to effectively supervise and train a team of reps since a team of reps has far more (combined) hours to make calls than a manager has time to review them. Existing sales intelligence tools like Gong / Chorus are commonly used for recording and review but offer limited help in coaching reps because [the analytics are less focused on prospecting calls and the feedback is often delayed.](https://www.trellus.ai/post/sales-coaching-is-broken)\n\n# **The Solution**\n\nTrellus solves these issues by giving your sales reps a real-time AI-powered sales coach that is available 24x7 to them. Trellus enables your reps to deliver the right message at the right moment to your prospects.\n\nWe do this by mixing a blend of behavioral and content coaching suggestions to help your sales reps learn best-in-class sales techniques.\n\n### **Features**\n\n* Seamless integration into your dialer platform of choice (it’s as simple as downloading our chrome extension)\n* Behavioral coaching on monologues, cadence with a whole host of features coming soon (filler words, pauses, tone)\n* Objection handling for classic cold call objections (e.g., “I’m not interested) with the ability for your sales enablement team to customize suggested responses for your reps\n* Battle cards for competitors (e.g., “I use X”) - whenever one of your competitors is mentioned on a call, your rep will get suggested talking points\n* Real-time transcription for all your dials\n* Real-time localized data on your prospects (e.g., news, weather) to provide additional data sales reps can leverage to build repertoire\n* Automatic call summarization and disposition entry\n\n### **How you can get started!**\n\n**1) Check out a demo** [here](https://app.trellus.ai/demo)\n\n**2) Take it for a spin!** Trellus is totally free for individuals to try out - they can get started in less than 5 seconds by downloading our chrome extension [here](https://app.trellus.ai/demo)\n\n**3) Talk to us!** If you’re interested in trialing Trellus with your sales reps, [grab a quick time slot](https://calendly.com/ajinkya_nene/general-meeting) for a white-glove onboarding or let us know in the comments!",
        "url": "https://www.ycombinator.com/launches/Htw-trellus-real-time-sales-ai-coach-for-cold-calls",
        "votes": 27,
        "created_at": "2023-01-29T21:04:03.414Z"
      }
    ]
  },
  {
    "id": 25316,
    "name": "Trébol",
    "slug": "trebol",
    "former_names": [
      "Evalo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4338ad0a706ff34d600a9fbfcb0f2e931607a17a.png",
    "website": "https://gotrebol.com/",
    "all_locations": "Bogotá, Bogota, Colombia",
    "long_description": "Trébol provides the document AI infrastructure for modern financial services - from KYB to mortgage underwriting - turning weeks of manual processing into minutes.",
    "one_liner": "Your back-office, on autopilot",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1642535849,
    "tags": [
      "Fintech",
      "SaaS",
      "B2B",
      "Legal",
      "Enterprise"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "Colombia",
      "Latin America",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/trebol",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/trebol.json",
    "year_founded": 2021,
    "city": "Bogotá",
    "country": "CO",
    "linkedin_url": "https://www.linkedin.com/company/trebolhq",
    "x_url": "https://twitter.com/TrebolHQ",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4338ad0a706ff34d600a9fbfcb0f2e931607a17a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 673083,
        "full_name": "Fabian Torres",
        "title": "Founder",
        "founder_bio": "Before Trébol, I led product a product team for a fintech co. I started my career in finance doing investments in Latam.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/torresfabian/",
        "x_url": "https://twitter.com/torresfabian",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26edd760a5c29bd2e88bbe17d4efeffd06dbcedd.jpg"
      },
      {
        "user_id": 461720,
        "full_name": "Luis Sebastian Buitrago León",
        "title": "Founder",
        "founder_bio": "Early employee @Lernico, a seed-stage ed-tech company. CFO for two family-owned businesses operating in healthcare services and real estate. Managed the construction of commercial real estate of >5,000 square meters. Optimized capital structure of the business group. Revamped accounting and controlling processes. Data analyst at the largest colombian pension fund where executed capital on real estate assets from $25M to $150M+.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lsbuitrago/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa54c143bf9cba77f1a01a1204ce28dc2b6ff04b.jpg"
      }
    ],
    "jobs": [
      {
        "id": 83474,
        "title": "Growth Associate",
        "url": "https://www.ycombinator.com/companies/trebol/jobs/f5ZjCU7-growth-associate",
        "location": "Bogotá, Bogota, CO / Mexico City, CDMX, MX / Mexico City, Mexico City, MX / SP, BR / State of São Paulo, BR / Medellín, Antioquia, CO / Monterrey, N.L., MX / Monterrey, Nuevo Leon, MX / Guadalajara, Jal., MX / Guadalajara, Jalisco, MX / Buenos Aires, Buenos Aires, AR / Remote (Bogotá, Bogota, CO; Mexico City, CDMX, MX; Mexico City, Mexico City, MX; SP, BR; State of São Paulo, BR; Medellín, Antioquia, CO; Monterrey, N.L., MX; Monterrey, Nuevo Leon, MX; Guadalajara, Jal., MX; Guadalajara, Jalisco, MX; Buenos Aires, Buenos Aires, AR)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$1.5K - $2K / monthly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83478,
        "title": "Sales Account Executive",
        "url": "https://www.ycombinator.com/companies/trebol/jobs/fYXj7T7-sales-account-executive",
        "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$3K - $5K / monthly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": []
  },
  {
    "id": 25320,
    "name": "Wingback",
    "slug": "wingback",
    "former_names": [],
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    "long_description": "Wingback provides tools and APIs for SaaS pricing and packaging. We are infrastructure that allows SaaS startups to deploy any set of features of their product using any pricing model. It enables non-technical teams to implement pricing and packaging changes and execute product-led growth campaigns without engineering involvement.",
    "one_liner": "Wingback provides tools and APIs for SaaS pricing and packaging.",
    "team_size": 12,
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/wingbackapp",
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    "primary_partner": {
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        "user_id": 614533,
        "full_name": "Torben Friehe",
        "title": "Founder",
        "founder_bio": "I've been fascinated by technology since early childhood, which led me to founding 1aim, an IoT startup. I ran 1aim together with my co-founder Yann for seven years before it was acquired. After that, I provided advice to some founder friends. In late 2020, I joined On Deck. After many conversations with On Deck fellows in SaaS, Yann and I started building Wingback. Besides startups, I'm interested in Formula 1, cars, and planes, but also in architecture, fashion, and history.",
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      {
        "title": "Has Y Combinator’s new deal changed the early-stage investing game?",
        "url": "https://techcrunch.com/2022/01/13/has-y-combinators-new-deal-changed-the-early-stage-investing-game/",
        "date": "Jan 13, 2022"
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      {
        "title": "How to hire without resumes from social media",
        "url": "https://www.fastcompany.com/90712236/we-skipped-resumes-and-sourced-candidates-directly-from-online-communities-like-discord",
        "date": "Jan 13, 2022"
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      {
        "title": "Y Combinator-Backed Wingback Raised $1.9 Million Using This Pitch Deck",
        "url": "https://www.businessinsider.com/y-combinator-backed-wingback-19-million-using-this-pitch-deck-2021-11",
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    "id": 25329,
    "name": "PromptLoop",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "PromptLoop helps GTM teams automate account research and data enrichment at scale. We turn manual web scraping and qualification workflows into automated processes, enabling teams to enrich thousands of accounts with detailed company data and buying intent markers in minutes.\r\n\r\nWhy PromptLoop? Sales and marketing teams traditionally spend hours manually researching accounts or rely on outdated data providers. We automatically crawl and extract precise data points from company websites, social profiles, and public sources at 10% the cost of manual research, with built-in quality controls and strict sourcing. Teams can process 10k+ accounts simultaneously, turning raw URLs into actionable qualification data tailored to your goals.",
    "one_liner": "AI agents to build B2B datasets",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1642624185,
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 291176,
        "full_name": "Peter Mangan",
        "title": "Founder",
        "founder_bio": "Building PromptLoop to make it 10x easier to pull insights from the internet and research companies. Previously, I worked at an organization reducing systemic cyber risk, as a quantitative analyst for a family office and as a consultant. I enjoy history, reading and being outside kiteboarding, painting, or just enjoying a sunny run around town.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/peter-m-34b44871/",
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      },
      {
        "user_id": 581913,
        "full_name": "Andrew Mangan",
        "title": "Founder",
        "founder_bio": "I love history, math, and solving hard problems. In addition to building things people love, I train and compete in para rowing for the US. Thankfully rowing takes place early in the day!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andrew-mangan/",
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      {
        "id": 94672,
        "title": "PromptLoop: AI research agent that syncs leads to HubSpot/Salesforce",
        "tagline": "Build simple AI web research agents to find small and local business data and sync to your CRM",
        "body": "## TLDR:\n\nBring AI Research Agents into your CRM data to fill in missing info, detect stale data, find new leads, and customize content for outbound marketing.\n\n**PromptLoop** integrates directly with **Salesforce** and **HubSpot** with a few clicks bringing our best in class AI research to your customer data.\n\n![uploaded image](/media/?type=post&id=94672&key=user_uploads/291176/c5833fcb-c98f-48ee-9087-079a6940fde5)\n\n## AI Prospecting:\n\nWe help fast growing YC startups like **Arketa** and **Trellus,** consultants at **BCG**, and investors at **Stonewood** and **Centeroak** find best-in-class small-business data, phone numbers, and contacts.\n\nCreate an agent to research a company, find an owner, verify where someone works, and more.\n\n![uploaded image](/media/?type=post&id=94672&key=user_uploads/291176/068e7691-19d0-4dfb-93ab-3f1b0df2a2fc)\n\n## New Opportunities:\n\nAI-powered search enables you to generate **niche datasets** and refine a list down to your exact ICP.\n\nThis data can then be checked against your CRM records and synced in automatically.\n\n![uploaded image](/media/?type=post&id=94672&key=user_uploads/291176/1b32c1f9-a9fc-4816-9951-19ada9e92082)\n\n## CRM Sync:\n\nHave old or stale leads in your CRM that you want to make use of or clean up? This is a constant head ache for teams that we are solving today. Instead of deleting records or ignoring bad data, sync in a list of accounts and have **AI research every single one** - validating gaps and filling in your market map.\n\nYou can create custom research or find new decision makers in **as little as 30 minutes** with a project that used to take months.\n\nMore: [Here](https://www.promptloop.com/salesforce)\n\n![uploaded image](/media/?type=post&id=94672&key=user_uploads/291176/e684898a-0636-49d9-a82a-7c591c1ac27e)\n\nWant to see how it works for your industry in as little as 15 minutes?\n\nBook a demo with our Founders here and we will see if you’re a good fit:\n\n[**Book a Demo**](https://www.promptloop.com/demo?src=yclaunch)",
        "url": "https://www.ycombinator.com/launches/Ocy-promptloop-ai-research-agent-that-syncs-leads-to-hubspot-salesforce",
        "votes": 27,
        "created_at": "2025-10-16T00:31:38.512Z"
      },
      {
        "id": 86382,
        "title": "PromptLoop - Run AI automation tasks that get sales teams exactly the data they need",
        "tagline": "Scrape 10x more website data in 10% of the time. Trusted by fast growing teams.",
        "body": "🎯 **TL;DR:** Sales teams use PromptLoop to automatically pull the exact data points they need from target accounts. Our platform turns manual prospecting into automated, accurate intelligence at scale.\\\n\\\nHey Everyone!\n\nPromptLoop helps dozens of fast-growing sales teams get the custom data they need to close more deals. While existing sales databases and emailing tools provide basic company information, modern GTM teams need deeper, more nuanced data about their target accounts specific to their offering. Sales teams with a focused approach are massively outpacing those ignoring targeting and timing and getting lost in inboxes, regardless of sending optimizations.\n\n**The Problem:**\n\n* Sales teams waste hours manually researching prospects\n* Existing data providers are expensive and often outdated\n* Critical buying signals are buried in websites\n* Sales reps lose time calling unqualified leads\n* Integration with existing tools is complex\n\n**Our Solution:** PromptLoop gives sales teams superpowers with:\n\n* Custom AI models that extract exactly what you need\n* Web intelligence that's 90%+ accurate\n* One-click integration with HubSpot or your CRM w/ API\n* Ability to process thousands of companies in minutes\n* No engineering required - just describe what you want\n\n❤️ **What Teams Are Saying:**\n\n> PromptLoop is great for when we needed to build out custom datasets for lead sourcing that aligns with our criteria.\n\n> Our BDR team is loving these lists. Total game changer!\n\n> The PromptLoop team is amazingly helpful and we have been able to build large datasets much faster than we hoped for and at a fraction of the cost.\n\n100% of new customers in the past two quarters have ended up running far more on the platform than originally anticipated.\n\n![uploaded image](/media/?type=post&id=86382&key=user_uploads/291176/bc7d8df8-7a00-4818-bdb4-327c0282a717)\n\n![uploaded image](/media/?type=post&id=86382&key=user_uploads/291176/202231bd-f4eb-4816-aad3-76d4beaa7678)\n\n**What Makes PromptLoop Different:**\n\n* Run AI tasks that extract exactly what matters for your ICP\n* Accurate data (90%+ across difficult domains vs 60% on alternatives and in house attempts as reported by customers)\n* Get answers formatted how you need them\n* Process thousands of companies in minutes\n* One-click sync with your CRM\n* No engineering required\n\n**We're already helping teams across:**\n\n* Enterprise SaaS\n* Vertical SaaS targeting Services industries\n* Private Equity teams\n* Healthcare Tech\n* Professional Services\n\nReady to supercharge your sales data?\n\n* [Book a demo](https://www.promptloop.com/demo)\n* Email us: [team@promptloop.com](https://mailto:team@promptloop.com)\n* Read our case studies: [Link](https://www.promptloop.com/docs/excel/growth-sales)\n\nSpecial Launch YC Offer: Now until Jan 15 free pilot with 5k credits and hands on advice for startups who have raised under 10M. Just mention this post when you get in touch!\n\n#sales #b2b #saas #ai #salesintelligence",
        "url": "https://www.ycombinator.com/launches/MTG-promptloop-run-ai-automation-tasks-that-get-sales-teams-exactly-the-data-they-need",
        "votes": 34,
        "created_at": "2024-12-18T17:21:03.626Z"
      },
      {
        "id": 77420,
        "title": "PromptLoop: Supercharge Your Web Research and Data Tasks",
        "tagline": "Run AI tasks on 1000s of rows of spreadsheet data",
        "body": "Hello everyone! We're Peter and Andrew, co-founders of PromptLoop, launching our powerful new AI platform to empower you to automate and optimize your data tasks. Specifically designed to cater to investors, consultants, and those involved in extensive online research or web scraping.\\\n\\\n**TLDR:**\n\n[PromptLoop](https://www.promptloop.com/) lets you create AI data automations and run them effortlessly on thousands of rows from a spreadsheet. Create tasks to pull formatted data from websites, categorize research, and find insights needed to filter and act on your research. PromptLoop helps fast-moving teams create accurate, visible, and flexible [AI web-enabled research tasks](https://www.promptloop.com/docs/custom-tasks) easily, saving 80%+ on outsourced services and allowing for insights and data your competitors do not have.\n\n**🚧 The Challenge**\n\nNo matter if you are an investor scouting for potential acquisition targets, a consultant supporting a market study, or a business owner looking to up the bar on your company data inputs, there are common roadblocks:\n\n* Tedious manual data collection\n* Time-consuming and erroneous manual web scraping\n* The need to filter a large list down to relevant targets\n* Difficulty in processing and unraveling insights from the collected data\n* Missing columns that need enrichment\n* Small company data is hard to find or stale\n\nWhile this is easy for a small amount of data, scaling this to 1000s of websites quickly becomes untenable. We have conservatively estimated it takes a human 1 minute to open, read, and extract information from a site. That would be seven days to get through 10k sites.\n\n![uploaded image](/media/?type=post&id=77420&key=user_uploads/291176/d4e97758-eebe-4c6e-9d3a-c2ce621e281e)\n\n**🚀 Our Solution**\n\nPromptLoop lets you create and use automation like AI web scraping in your existing workflow. Taking spreadsheets of inputs, simple instructions, and getting reliable results in record time. Automate and streamline your data tasks without leaving your spreadsheet or with our drag and drop file tool. Our AI-enabled tools facilitate:\n\n✅ **Automated Data Tasks:** Use our Autoloop feature to schedule and [automate AI data automations on every row of a dataset](https://www.promptloop.com/docs/autoloop). Completing the tens of thousands of data enrichment and AI operations in under an hour, with the results emailed to you.\n\n✅ **Custom Tasks:** Tailor our AI models to extract insights, enrich data, and generate custom reports. Examples include:\n\n* Classifying websites/companies into specific categories\n* Content summarization\n* Determining whether a company x provides a service y\n* Extracting a company's customers or their target customers for lead enrichment.\n* Determining the number of reviews and locations, providing data points on estimated size.\n\n✅ **Spreadsheet Integration:** Apply AI functions directly to your Excel and Google Sheets data, allowing real-time analysis and streamlining your workflow. \n\n**🔄 Drag and Drop Data Enrichment and Custom Tasks**\n\nAutoloop is our automation feature that handles your repetitive data processing tasks. You can read more about Autoloop here.\n\nIt’s time to stop using the same data sets everyone else has access to. Custom Tasks offer flexibility by creating AI-driven automation tailored to your distinct business needs. Whether it's [web scraping](https://www.promptloop.com/docs/web-browsing-capability), analyzing data, or curating custom datasets, Custom Tasks adapt rapidly to meet your objectives. Learn more about Custom Tasks [here](https://www.promptloop.com/docs/custom-tasks).\n\n**🔁 Seamless Spreadsheet Integration**\n\nWe bridge the gap between Google Sheets, Excel, and AI, allowing you to directly apply complex AI functions like text categorization, data extraction, and content generation onto your spreadsheet. \n\n**👋 Our Ask** \n\nConnect with us on [LinkedIn](https://www.linkedin.com/company/89570147) and share with anyone who yearns for automated and insightful data tasks.\n\nFinally, if you have a few minutes to chat about PromptLoop, please book a slot with us directly [here](https://www.promptloop.com/demo). We're eager to understand your needs and show you how PromptLoop can revolutionize your data tasks.\n\nWith PromptLoop, let's put AI tools to work on your spreadsheet data - [Start for free today.](https://www.promptloop.com/)",
        "url": "https://www.ycombinator.com/launches/K8i-promptloop-supercharge-your-web-research-and-data-tasks",
        "votes": 22,
        "created_at": "2024-01-10T22:55:21.291Z"
      },
      {
        "id": 69781,
        "title": "PromptLoop: AI tools for spreadsheet data",
        "tagline": "AI tools for market research and web browsing in Excel",
        "body": "Hey everyone, we are PromptLoop, and we make it easy to leverage powerful AI language models inside Excel and Google Sheets!\n\n**TLDR**: [PromptLoop](https://www.promptloop.com/) provides on-demand access to AI language models for analyzing, formatting, and generating text in spreadsheets. Customize and chain together models to analyze text data, automate accurate and up to date web research without scraping, and power company research that goes beyond common datasets like Pitchbook and Crunchbase.\n\n## **🤔 The Problem:**\n\nData-driven teams know that research takes time and great research takes even longer. Whether working with text or gathering accurately sourced insights on companies or new markets. They also know that exporting a CSV and sorting rows is the fastest way to accomplish goals quickly and build reports.\n\nSpreadsheets work well because every business is different, but they **weren’t designed for unstructured text** data that is the lifeblood of effective Sales and Marketing teams.\n\n### **💡 The Solution:**\n\n⚡ Powerful **AI Language Models** inside **Excel and Google Sheets** ⚡\n\n[PromptLoop](https://www.promptloop.com/) provides a set of easy to use AI functions that power common tasks and allow customization for every use case.\n\n![uploaded image](/media/?type=post&id=69781&key=user_uploads/291176/6d16c164-9e4c-4711-b833-a4be1f543c7c)\n\nPromptLoop provides dependable and scalable access to dozens of AI language models with a simple formula. Teams use our platform to build spreadsheet models that streamline workflows for more output with fewer people, all in a customizable and accessible interface.\n\nWith [dozens of templates](https://www.promptloop.com/templates) and [video guides](https://www.youtube.com/@promptloop4510/videos) to get you started and resources for Research Analysts, Consultants, and Investing due dilligence teams, it's never been easier to stay ahead of the field and future-proof your operations with the best technology available. PromptLoop provides immense value [across any vertical](https://www.promptloop.com/customers) that uses spreadsheets.\n\nExamples of what teams are building with PromptLoop:\n\n* 🏷️ 95% time saved on web research and data categorization\n* 📈 Label and segment existing datasets with labeling AI models for better insights\n* ⬆️ Augment existing data sources for a fraction of the cost like Crunchbase, Pitchbook and Zoominfo\n* 👍 Reducing outsourcing and staffing needs on data gathering without reducing quality\n\nWhether you are a small business or a global consulting firm with ambitious growth goals this year amid cost cuts - PromptLoop is the perfect solution.\n\nSince we launched last year, we have emphasized reliability and performance at scale for hundreds of companies and thousands of users that need dependable and measurable results.\n\nOrganizations can start with [Google](https://workspace.google.com/u/4/marketplace/app/promptloop_ai_in_sheets/831127607357) or [Microsoft 365](https://appsource.microsoft.com/en-us/product/office/WA200005194?exp=ubp8&tab=Overview) single-sign-on inside Excel and Google Sheets and deploy custom AI models organization-wide with a simple web interface.\n\n### 💪 Why Us?\n\nBefore PromptLoop, our founder, Peter, taught the Excel course at EY and got his start programming while developing algorithm-backed spreadsheet models for a quantitative trading fund. Andrew studied computer science with a concentration in machine learning at Stanford.\n\nWe take pride in dependability and top-tier support. This includes a wealth of video and written tutorials, a community support group, and a team that is constantly updating and improving our models dozens of times a week.\n\nWe want to empower teams to build on their industry advantage using their data and allow them to customize how they use AI in this fast-evolving landscape.\n\n### 🙏 Our Ask\n\nTry PromptLoop today and start using AI models in Excel or Google Sheets by [signing up here!](https://www.promptloop.com/welcome)\n\nWant a custom spreadsheet that your team can start using? [Book a demo](https://www.promptloop.com/demo)",
        "url": "https://www.ycombinator.com/launches/I9V-promptloop-ai-tools-for-spreadsheet-data",
        "votes": 84,
        "created_at": "2023-02-28T20:48:16.042Z"
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    "name": "FlowDeploy",
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    "website": "https://flowdeploy.com",
    "all_locations": "San Francisco, CA, USA; Mountain View, CA, USA; Remote",
    "long_description": "FlowDeploy helps bioinformaticians manage their data analysis pipelines. We provide everything they need to try, run, develop, and share their pipelines. That includes integrations with AWS, Snakemake, Nextflow, GitHub, Slack, SSO, and more, as well as a clean API and web app for launching and monitoring pipelines and managing their data.\r\n\r\nFlowDeploy is built for bioinformaticians: it doesn't restrict how pipelines are built and managed, as long as a bioinformatics workflow manager like Nextflow or Snakemake is used. But it does eliminate several footguns like idle spend and accidental data egress, and it reduces the potential for users accidentally sharing credentials.\r\n\r\nFlowDeploy runs the pipelines in either our managed cloud or the customer's cloud – eliminating the need to transfer data externally.\r\n\r\nNon-computational biologists can use FlowDeploy, too: features like pipelines templates decrease the complexity to launch a new pipeline, which reduces user error and decreases the need for advanced cloud training for non-computational users.",
    "one_liner": "Bioinformatics pipelines in the cloud",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1643247528,
    "tags": [
      "Developer Tools",
      "Drug discovery",
      "Data Engineering"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Inactive",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/flowdeploy",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/flowdeploy.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/toolchest",
    "x_url": "https://twitter.com/trytoolchest",
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    "founders": [
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        "full_name": "Noah Lebovic",
        "title": "Founder",
        "founder_bio": "Noah Lebovic is the co-founder and CEO of FlowDeploy. Prior to FlowDeploy, he led software engineering at a bio startup that build an in-house platform for bioinformatics pipelines.",
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        "linkedin_url": "https://linkedin.com/in/lebovic/",
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        "full_name": "Bryce Cai",
        "title": "Founder",
        "founder_bio": "Former CTO of FlowDeploy / Toolchest (YC W22). Now working on AI-bio evals and more broadly getting involved in the AI alignment space. More than happy to help others get more involved, feel free to reach out via email if you'd like to chat!",
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    "id": 25337,
    "name": "Cherry Recommends",
    "slug": "cherry-recommends",
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    "website": "https://cherry.ai/",
    "all_locations": "Singapore, Singapore; Melbourne, VIC, Australia; Remote",
    "long_description": "Cherry is the only AI promotion management platform. We help online stores boost revenue and increase their marketing ROI by delivering and tracking dynamic promotions. \r\n\r\nCherry uses AI to improve the targeting of promotions to new and existing customers in real-time\r\n\r\nCherry has helped its customers increase conversion rates by up to 51%. \r\n\r\nCherry is lead by an expert founding team. Isaac has a PhD in maths and delivered AI at McKinsey, Rian is an ex-Microsoft software engineer.\r\n\r\n",
    "one_liner": "Promotion management platform",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
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    "nonprofit": false,
    "batch": "Winter 2022",
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      "Southeast Asia",
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    "year_founded": 2020,
    "city": "Singapore",
    "country": "SG",
    "linkedin_url": "https://www.linkedin.com/company/cherryrecommends/",
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        "founder_bio": "Director of AI at Optus (leading Australian Telco). \n\nFailed start up founder but pretty good at post pmf product and leadership. Before I tried a start up, I did a maths PhD, was a Fulbright Scholar, and McKinsey project manager.\n\nHappy to chat with anyone doing AI for regulated enterprises\n\n",
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        "linkedin_url": "https://au.linkedin.com/in/isaac-donnelly-126744109",
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        "full_name": "Rian Finnegan",
        "title": "Founder",
        "founder_bio": "Software engineer. Shut down our startup and gave investors their money back. Trying to make things better. ",
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        "linkedin_url": "https://www.linkedin.com/in/rian-finnegan/",
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        "title": "Sydney startup Cherry Recommends nabs Y Combinator backing as it expands to US",
        "url": "https://www.startupdaily.net/2022/02/sydney-ai-startup-cherry-recommends-nabs-y-combinator-backing-as-it-expands-into-the-us/",
        "date": "Feb 06, 2022"
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    "id": 25338,
    "name": "Cozmo AI",
    "slug": "cozmo-ai",
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    "website": "https://www.hellocozmo.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cozmo AI helps restoration franchisors, TPAs and adjusters put agents to work on US property insurance claims. Agents are autonomous AI workers that answer intake across all channels, coordinate crews and write up losses. Putting them to work means deploying across the full claim, from first notice of loss to crew dispatch and damage estimate to supplement approval. Work that took human teams days to weeks closes in minutes.\r\n\r\nCozmo is an operating system for the whole claim, end to end, and it runs on top of the estimating software, CRM and phone system already in place. Nothing gets ripped out and nothing gets migrated.\r\n\r\nThis allows operators to run more jobs per adjuster and send estimates that clear review the first time. On the carrier side, the same work cuts cycle time to hours and leaves a line-item record of every loss, so risk can be priced by property instead of by ZIP code.\r\n\r\nCozmo's platform captures context from every claim it touches and gets sharper with each one.\r\n\r\nGo to hellocozmo.ai and book a demo to see the Cozmo AI agents in action.",
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        "full_name": "Alok Kumar",
        "title": "Founder/CEO",
        "founder_bio": "Love building and shipping 🔥",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alokhk/",
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        "full_name": "Nuha Hashem",
        "title": "Founder/CTO",
        "founder_bio": "Building the future of work at Cozmo 🚀",
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        "title": "Agent Product Manager",
        "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/sgwDFZc-agent-product-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "0.04% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103439,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/yZj5zoB-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "0.14% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 103440,
        "title": "Founding GTM ",
        "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/8ikndus-founding-gtm",
        "location": "New York, NY, US / FL, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $500K",
        "equity_range": "0.10% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 103441,
        "title": "Applied ML Engineer",
        "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/YFtovo3-applied-ml-engineer",
        "location": "New York, NY, US / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Dubai, Dubai, AE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$100K - $240K",
        "equity_range": "0.20% - 1.00%",
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    "news": [
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        "title": "YC-backed Zywa, a neobank for Gen Z, raises $3M to expand across MENA – TechCrunch",
        "url": "https://techcrunch.com/2022/08/23/yc-backed-zywa-a-neobank-for-gen-z-raises-3m-to-expand-across-mena/",
        "date": "Aug 23, 2022"
      },
      {
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        "url": "https://magnitt.com/news/zywa-1m-pre-seed-53201",
        "date": "Mar 28, 2022"
      },
      {
        "title": "Y Combinator backs Dubai-based teen neobank Zywa, closing $1m pre-seed round - News | Khaleej Times",
        "url": "https://www.khaleejtimes.com/business/y-combinator-backs-dubai-based-teen-neobank-zywa-closing-1m-pre-seed-round",
        "date": "Mar 28, 2022"
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      {
        "title": "Zywa closes a $1 million pre-Seed round backed by Y Combinator",
        "url": "https://mystartupworld.com/zywa-closes-a-1-million-pre-seed-round-backed-by-y-combinator/",
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      {
        "id": 98015,
        "title": "Cozmo AI: The system of work for enterprises in financial services and insurance",
        "tagline": "Multimodal AI employees that see, speak, think and run operations",
        "body": "Hey everyone, we’re [Nuha](https://www.linkedin.com/in/nuhahashem/) and [Alok](https://www.linkedin.com/in/alokhk/) from [Cozmo AI](https://cozmox.ai?utm_source=yc-launch&utm_medium=listing&utm_campaign=launch).\n\n**TL;DR** \n\nWe help banks, insurers and lenders deploy multimodal AI employees that interpret documents and videos, speak with customers in real time, think using your policies and do the work in your core systems.\n\nCheck out our [launch video](https://youtu.be/IGypdMioyIo).\n\n**❌ The problem**\n\nIf you’ve ever seen how a real customer operation gets handled inside a large company, you’ll notice the conversation is usually the shortest part. Most of the time goes into opening 6-10 tools, finding history, checking documents, verifying details and recording what happened afterwards.\n\nWe ran into such issues while building a fintech product and spending months embedded with support and operations teams. A support case that looked “simple” from the outside often meant 40 minutes of prep and follow-up wrapped around an 8-minute customer interaction. The work was more around moving data and decisions across messy systems than actually talking to customers.\n\n![uploaded image](/media/?type=post&id=98015&key=user_uploads/714894/df0f9156-23c1-46c6-b05f-93060b590053)\n\nTo handle these cases, we built an internal system that could understand a case end-to-end and take actions across systems automatically. During a demo, a partner stopped us and asked for that system instead of the fintech product itself.\n\nThat became Cozmo.\n\n**✅ How Cozmo is solving it**\n\nCozmo is a system of work for complex enterprise operations, starting with financial services and insurance. Companies use Cozmo to build and deploy AI employees, which are a collection of agents that own workflows end to end. They talk to customers, read documents, interpret videos, apply company policies and update systems like Guidewire, Temenos and Salesforce, pulling humans into the loop only when real judgment or escalation is needed.\n\nEvery decision the AI employee makes is logged, including its reasoning and policy reference, providing a complete audit trail for compliance and operations without additional manual effort. This is managed by our proprietary Agent Protocol Engine (APE), the control layer that keeps shared context, enforces policy and ensures every step is tracked for regulated industries.\n\nCozmo is live with 10+ enterprises, including Fortune Global 500s like Nestlé, and has already handled over 1M production calls and 10M interactions; cutting costs by up to 70% and turning roughly 1 in 13 conversations into revenue.\n\n[Watch Cozmo in action.](https://youtu.be/ek8eE1bXOnU)\n\n**🧬 What’s unique about Cozmo**\n\nMost AI tools are just prompt trees with a UI. They’re fine for neat, repetitive tasks; but they fall apart the moment operations get messy, ending in half‑filled tickets, off‑script collection calls and disputes scattered across systems.\n\nCozmo is built for that mess:\n\n* **Multimodal by default:** One platform to spin up AI employees that handle inbound and outbound calls, read PDFs and scanned forms, understand video and talk to customers in a single, continuous flow.\n* **Runs on intent, not prompts:** You give it responsibilities and policies like a new hire, instead of maintaining endless prompt chains. As new case patterns appear, the AI employee adapts behavior without you rewriting a graph of scripts.\n* **APE-powered coordination:** A single Cozmo “employee” is actually a coordinated team of agents, driven by our Agent Protocol Engine (APE), running an internal loop: planning, delegating, checking and rechecking across systems until the case is closed, not just until a workflow box is ticked.\n\nSo instead of a scripted bot, you get something that behaves much closer to a high‑performing operations hire: it keeps context, chases down loose ends and keeps pushing the work forward without you needing to orchestrate every move.\n\n**🚀 Our story**\n\nNuha and Alok have been friends for over 11 years. We scaled a regulated fintech together in Dubai, navigating one of the most demanding regulatory environments in the world. When the regulations and market changed, we were forced to shut it down. We built AI employees to manage the fintech ourselves on cockroach mode, handling communications and documentation across every affected account. \n\nThat system worked, and when a partner saw it, they asked to buy it instead. So we moved from Dubai to San Francisco to build Cozmo. \n\nThree years, two countries, 180 pivot, and we’re still going.\n\n![uploaded image](/media/?type=post&id=98015&key=user_uploads/714894/4501b459-03fa-4135-9389-d407946bd5ec)\n\n 🎯 **Our Ask**\n\nWe’re onboarding new enterprise customers in financial services and insurance. If you (or someone you know) run claims, collections or large-scale operations at a bank or insurer, we’d love to connect.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n———————————\n\n🌐 Check our website [here](https://cozmox.ai?utm_source=yc-launch&utm_medium=listing&utm_campaign=launch).\n\n📆 Book a demo [here](https://meetings.hubspot.com/alok-k?utm_source=yc-launch&utm_medium=listing&utm_campaign=demo).\n\n✉️ Contact us at [founders@cozmox.ai](mailto:founders@cozmox.ai).",
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        "created_at": "2026-02-20T18:53:08.358Z"
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    "id": 25339,
    "name": "Sota2",
    "slug": "sota2",
    "former_names": [
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      "VacationHomeRents",
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    "website": "https://www.sota2.com",
    "all_locations": "Seattle, WA, USA; Remote",
    "long_description": "Sota2 is Yelp for AI products. We help companies find and compare best AI solutions for their businesses using reviews, benchmarks, and compar tools. ",
    "one_liner": "Help business find and discover AI solutions",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1647541720,
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    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
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      "America / Canada",
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    "stage": "Early",
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    "city": "Seattle",
    "country": "US",
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        "full_name": "Allan Jiang",
        "title": "Founder",
        "founder_bio": "Co-founder at VacationHomeRents. Ex Google/Coinbase/Microsoft.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/allanjiang/",
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      {
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        "full_name": "Jianyu (Leo) Li",
        "title": "Founder",
        "founder_bio": "Founder of AgentDiscuss, PageOne Travel. Investor of PageOne labs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/pub/jianyu-li/37/923/268",
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      {
        "id": 98124,
        "title": "Wizwand - Discover SOTA research papers on AI and Machine Learning",
        "tagline": "Leaderboards for AI and Machine Learning methods based tasks and datasets",
        "body": "Introducing [Wziwand](https://www.wizwand.com): we help improve reproducibility and transparency in AI/ML research, by allowing research engineers to easily find, implement, and compare the performance of SOTA papers and methods.\n\n![uploaded image](/media/?type=post&id=98124&key=user_uploads/5992/f8f3f02d-30fd-4116-aa6b-a706323c241f)\n\n![uploaded image](/media/?type=post&id=98124&key=user_uploads/5992/f7859d08-2837-4aba-858b-dada5295ffa6)\n\n**Why it matters:**\n\nThe AI/ML boom hasn’t just increased the number of papers — it has fragmented the landscape. With thousands of preprints hitting arXiv each month, the “state of the art” (SOTA) in a specific niche can change over a weekend. For researchers and research engineers, the cognitive overhead of filtering through incremental gains to find true architectural breakthroughs has become unsustainable. Wizwand is built to help people track AI/ML research progress across a wide range of domains.\n\n**The challenge:**\n\nOver the past many years, several products have tried to solve this problem, but we’ve seen a few common issues:\n\n\\- **Table understanding is hard at scale**: Research papers tend to use non-standard tables, which makes extracting the right data points and their correct attributes challenging. A small mistake can produce a wildly incorrect result.\n\n\\- **Apples-to-apples comparison is difficult**: Should general image classification methods be compared with medical image classification methods? Should methods tested on the “same” dataset but different versions or splits be compared? When building benchmarks, there hasn’t been a good way to ensure truly apples-to-apples comparisons.\n\n**Wizwand solution:**\n\n\\- Table understanding at the paper level is made possible through a combination of LLMs, OCR, and rule-based pipelines. We can extract data points with complex attributes from tables with high accuracy, including non-standard tables.\n\n\\- We determine whether two methods are comparable using full-paper understanding — not just dataset and metric. This enables fairer, more meaningful benchmarks.\n\n**Team:**\n\nWe’re a team of CS/ML engineers from UC Berkeley, Google, Airbnb, and Microsoft.\n\n**Asks:**\n\n\\- We’re looking for feedback from research engineers and researchers to share your feedback and thoughts on how we can improve Wizwand to work better for you.\n\n\\- You can reach out to the founders directly at [allan@wizwand.com](mailto:allan@wizwand.com) or follow us on X ([@wizwand_team](https://x.com/wizwand_team)).",
        "url": "https://www.ycombinator.com/launches/PWe-wizwand-discover-sota-research-papers-on-ai-and-machine-learning",
        "votes": 6,
        "created_at": "2026-02-25T21:09:33.011Z"
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    "id": 25340,
    "name": "Loops",
    "slug": "loops",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef8d8c9b30ba22bdd91401d412f32c73551f5439.png",
    "website": "https://loops.so",
    "all_locations": "Washington, DC, USA; Remote",
    "long_description": "Loops is a simple and beautiful email sending platform for SaaS companies. We have a Notion-style block editor for email creation, excellent deliverability for transactional mail and pre-built loops for SaaS companies to snap-in to increase their revenue and user engagement.",
    "one_liner": "Email sending for software companies",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1643293654,
    "tags": [
      "Email"
    ],
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        "id": 82171,
        "title": "Blaze 2.0 - Use AI to find high intent leads + trigger relevant outreach",
        "tagline": "Blaze scans social posts, engagements and connections to help companies target the right potential customers with more compelling outreach.",
        "body": "Hey everyone! 👋 Today we are thrilled to announce a number of huge updates to Blaze, including AI personalization, DM Sequences across Twitter and LinkedIn, and AI Replies from our unified inbox.\n\n**The Problem** Email is saturated and it’s hard to stand out from the noise: Reaching the right audience through outbound email is becoming increasingly challenging. The proliferation of lead databases and ever changing spam filters has reduced the effectiveness of email campaigns.\n\n \n\n**The Solution** Blaze helps you:\n\n \n\n1. Generate leads with AI-powered signals: Identify qualified B2B leads on LinkedIn and X with a higher likelihood of conversion. Create lists from unique signals, such as users liking your competitors’ social posts, following relevant interest groups or influencers, or mentioning certain topics or initiative at a company or individual level.\n2. Send personalized DM sequences on X or LinkedIn and auto-respond with AI: Target leads with more compelling messages taking into account the lead context on social channels where you are more likely to cut through the noise. Add in optional steps like following someone first to improve your response rate further.\n3. Engage with trending topics and buyers posts posts to build trust and awareness: Create feeds that surface relevant posts so you can engage and foster closer relationships with top prospects alongside building your personal brand.\n\nLink to demo: <https://www.youtube.com/watch?v=KcLmsFg9Pgc>\n\n**What we are launching today?**\n\n* Create feeds of X and LinkedIn content based on keywords and who posted the content. Create lead lists of those who posted or engaged with content.\n\n  ![uploaded image](/media/?type=post&id=82171&key=user_uploads/746862/8a282fbf-28bd-44f2-baf1-47f1558c78df)\n\n* Generate DMs based on AI using both sender and receiver personas.\n\n  ![uploaded image](/media/?type=post&id=82171&key=user_uploads/746862/1ef2ac75-c093-4eed-b777-56978852188d)\n\n* Multi-step sequences to enable complex workflows on X and LinkedIn including steps such as following the user (X), connecting with the user (LinkedIn), time delays etc.\n\n  ![uploaded image](/media/?type=post&id=82171&key=user_uploads/746862/d510f9a8-7ab4-4050-92ea-0c743f61523e)\n\n* Streamlined inbox experience which enables you to manage DMs across multiple accounts.\n\n  ![uploaded image](/media/?type=post&id=82171&key=user_uploads/746862/2e9021b7-eb85-45e6-bff7-5d761e680bfa)\n\n\nWith our new suite of features, you'll feel like you've hired a new SDR or marketing manager, at a fraction of the cost. To date, we have helped 200+ companies accelerate their revenue through our unique signals and marketing orchestration tools. Try out our 1 week free trial today by signing up at: [https://dashboard.withblaze.app/signup/.](https://dashboard.withblaze.app/signup/)\\\nPlease use this code: [**PRODUCTHUNT0724** to get 40% off](https://www.producthunt.com/posts/blaze-382833ca-0257-4c27-9c10-2688e076186d) annual plans.\n\nPlease feel free to reach out to me at lauren@withblaze.app with any questions, thoughts or feature requests! We’d love your feedback.",
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        "title": "🔥 Blaze - Grow and manage your Discord community",
        "tagline": "Introducing Blaze, the next-gen community growth tool",
        "body": "Hi, we’re [Lauren](https://www.linkedin.com/in/lauren-rothwell-8403b052) and [Chirag](https://www.linkedin.com/in/chiragmahapatra/), the co-founders of [Blaze](https://withblaze.app/), the next-gen community growth tool.\n\n**Problem**\n\nCompanies today are increasingly using community channels like Discord to engage and retain their customers, but companies struggle to quantify the ROI of community efforts, leverage community data in marketing, and manage community channels at scale in an efficient way.\n\n**How we help**\n\nWe help companies who leverage Discord to:\n\n* Establish community KPIs and measure community and marketing campaign performance\n* Understand and segment your members\n* Monitor community sentiment and extract product feedback\n\n**Try us out**\n\nIf you have a Discord community that you need better analytics for, we’d love to chat! You can grab a time for a demo here: <https://calendly.com/blaze-ai/blaze-demo-community>. And best of all, you can get started for free today!\n\n**Demo:**\n\n![ \" \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\" \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"Blaze Demo\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"\"](https://raw.githubusercontent.com//chirag9127/chirag9127.github.io/master/Members%20%2B%20segments%20-%20gif%20-1120.gif)\n\n![ \" \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\" \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"Blaze Demo\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"\"](https://raw.github.com/chirag9127/chirag9127.github.io/master/overall%20metrics.gif)\n\nThanks!",
        "url": "https://www.ycombinator.com/launches/Haa-blaze-grow-and-manage-your-discord-community",
        "votes": 29,
        "created_at": "2022-11-30T18:53:44.357Z"
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    "name": "Spinach AI",
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    "long_description": "Backed by Y Combinator, Zoom and Atlassian, Spinach AI is the system of action for conversation data. Industry leaders like Abnormal AI and eToro use Spinach to capture and transform raw conversations into structured knowledge that powers people, agents, and LLMs across the enterprise, driving productivity for workers and strategic insight for leaders.",
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        "full_name": "Matan Talmi",
        "title": "Founder/CEO",
        "founder_bio": "🥬 2x founder/CEO, passionate about conversation intelligence & AI\n🥬 Building Spinach AI, the system of record for conversation data \n🥬 Backed by Y Combinator, Zoom & Atlassian \n🥬 Capture conversations so AI can execute \n🥬 Get started free at Spinach.ai\n",
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        "linkedin_url": "https://www.linkedin.com/in/matantalmi/",
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        "full_name": "Yoav Grossman",
        "title": "Founder/CTO",
        "founder_bio": "Building the AI Meeting Assistant at 🥬 Spinach AI, backed by Y Combinator, Zoom & Atlassian. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yoavgrossman/",
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        "user_id": 868148,
        "full_name": "Josh Willis",
        "title": "Co-Founder, VP Product and User Experience",
        "founder_bio": "Love user experience. AI is making this so interesting!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/getmorejosh/",
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        "title": "Spinach.io wants to help agile engineering teams run better online meetings – TechCrunch",
        "url": "https://techcrunch.com/2022/08/02/spinach-io-wants-to-help-agile-engineering-teams-run-better-online-meetings/",
        "date": "Aug 02, 2022"
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        "title": "🥬 Spinach.io for Google Meet",
        "tagline": "Better daily standups in Google Meet",
        "body": "**TL;DR**\\\nUse [Spinach.io for Google Meet](https://chrome.google.com/webstore/detail/spinachio-daily-standup-t/eippeohhelpgpnchcfigkjmpepicilig) to align as a team in one visual space. No screen sharing or context switching. A faster, more-focused daily standup with instant notes. Free forever for one team.\n\n![uploaded image](/media/?type=post&id=66829&key=user_uploads/839578/82892fa5-1a08-4476-87cb-14851fbc28a7)\n\n**What’s** [**Spinach.io**](http://Spinach.io)**?**\n\nA great standup can save teams hours of confusion and misalignment. The problem is that most standups aren’t that great. People aren’t always prepared so they think out loud. It’s not engaging so people tune out. It’s easy to lose focus and stray off topic. If any of this sounds familiar - please give [Spinach.io](http://Spinach.io) a try and tell us what you think!\n\n**How it works**\n\n![uploaded image](/media/?type=post&id=66829&key=user_uploads/839578/baa2ba9d-7d8b-4fe1-bb2b-eba6041ab9de)\n\n🥬 **Before standup** - each team member prepares their check-in. You can choose from default Yesterday, Today, Blockers categories or create your own. Organizing your thoughts and planning your day helps you share meaningful context instead of trying to recall what you did yesterday.\n\n🥬 **During standup** - running a great standup takes work, and we do it for you. Spinach rotates through each persons’ check-in so there’s no deciding “who goes next”. If you have additional topics to discuss with the team add them to Team Topics and they’ll get added to the agenda.\n\n🥬 **After standup** - instant notes automatically posted to Slack and saved in app for future reference. Easily share status with stakeholders or catch up if you missed standup.\n\n🥬 **Async friendly** - we support async standups for days where you just want to share status updates but don’t have any blockers or other important topics to discuss.\n\n**How to try it**\n\n1\\. [Add our Chrome Extension](https://chrome.google.com/webstore/detail/spinachio-daily-standup-t/eippeohhelpgpnchcfigkjmpepicilig) and sign up\n\n2\\. On your next standup - join Google Meet and click the “S” icon on the bottom right to open Spinach in Meet\n\n[Spinach.io](http://Spinach.io) is free forever for one team and most teams who try it never go back. [Give us a try!](https://chrome.google.com/webstore/detail/spinachio-daily-standup-t/eippeohhelpgpnchcfigkjmpepicilig)",
        "url": "https://www.ycombinator.com/launches/HNt-spinach-io-for-google-meet",
        "votes": 18,
        "created_at": "2022-10-20T11:52:37.248Z"
      },
      {
        "id": 64195,
        "title": "Spinach.io - 🥬 Crush your daily standup",
        "tagline": "We help dev teams run faster, more-effective daily standups",
        "body": "**TL;DR**\\\nMost dev teams have standup every single day. If standup isn’t great, the team suffers daily. Spinach helps dev teams turn their standup into an optimized flow, build healthier meeting habits, and get time back every day. The best part? Try it for free!\n\n**How it works**\\\n**Before standup**\\\nSpinach reminds you to prep in Slack. Each person enters their updates in Spinach.\n\n![uploaded image](/media/?type=post&id=64195&key=user_uploads/868148/22db4952-4d8b-4816-9f7e-6e4632915d82)\n\n**During standup**\\\nSpinach rotates through each person so there’s no fumbling with “who goes next.”\n\nYou can see each person’s update and how long they’ve been speaking.\n\nHave something to discuss? Add it to Team Topics and Spinach will bring it up at the end to keep things moving.\n\n![uploaded image](/media/?type=post&id=64195&key=user_uploads/868148/9d919583-9a63-4921-89c4-24f9dddfd3ed)\n\n**After standup**\\\nSpinach keeps a summary and automatically posts it to Slack. You’ll have a record of all of your previous standups in the app.\n\n![uploaded image](/media/?type=post&id=64195&key=user_uploads/868148/b5fc1850-db72-44bd-808c-54d7c28d5a22)\n\n**Results**\n\n1. **Get time back** _“What took people 10 minutes to cover before, they can now cover in 15 seconds”_ - Austin from Lovage Labs\n2. **Each update is clear** _“When the team is prepared, the updates are more articulate and standup goes stupid fast”_ - Oded from Asurion\n3. **Focused on sprint goals**- _“Spinach saves all the discussion topics til the end. That was really hard to enforce before”_ Rebecca from Freedom Financial\n4. **Summary in Slack**- _“I love seeing today what I said I would do yesterday. It keeps us all accountable”_ Suhas from Courier\n\n**How to try it**\n\n**Try:** Go to [Spinach.io](https://www.spinach.io?yc) and try it for yourself. No demos. No credit cards.\n\n**Share:** Let us know what you think! Have friends who run standups? Please tell them they can get time back every day with Spinach.\n\n**Save:** Try it free!",
        "url": "https://www.ycombinator.com/launches/GhP-spinach-io-crush-your-daily-standup",
        "votes": 110,
        "created_at": "2022-06-29T20:59:08.156Z"
      }
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    "id": 25357,
    "name": "PeakPath",
    "slug": "peakpath",
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    "website": "https://www.peakpath.com",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "PeakPath is a service that helps enterprises improve team performance and employee retention. We pair each employee with an online coach and use smart watch data to improve their physical and mental health.",
    "one_liner": "Smartwatch powered coaching to improve teams sustainable performance",
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    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
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        "full_name": "Kerstin Jeding",
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        "founder_bio": "I am a psychologist who have worked in research into stress, the social work environment, sleep, health and turnover intent, as well as clinically. I have been part of running a specialist clinic rehabilitating persons with (work) stress related exhaustion/clinical burnout, and I have treated early stress warning signs with ACT and CBT therapy. I also have worked in stress prevention, in applied research projects, by giving workshops and lectures, and publishing self-help books. ",
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        "full_name": "Javier Ubillos",
        "title": "Founder",
        "founder_bio": "Javier Ubillos is a product developer with a background in distributed systems research. He's founded NudgeLabs, who aims to help people manage the stress in their life and making their wellbeing something easy to achieve.",
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    "website": "https://www.nyckel.com",
    "all_locations": "CA, USA; Remote",
    "long_description": "Use Nyckel to train and integrate state of the art machine learning into your application. Our ML platform can be used by anyone and it only takes minutes to train your first model. Once trained, your functions is immediately deployed to production grade infrastructure.",
    "one_liner": "Classify Anything",
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "year_founded": 2021,
    "city": null,
    "country": "US",
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        "full_name": "Oscar Beijbom",
        "title": "Founder",
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    "id": 25359,
    "name": "Yezza",
    "slug": "yezza",
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    "website": "https://yezza.com",
    "all_locations": "Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia",
    "long_description": "Yezza makes it easy for small businesses in SE Asia to create storefronts on WhatsApp. Our MRR is $40K with $3M monthly GMV, from 1500 orders every day. We are profitable.\r\n\r\nNot only for selling goods & products, Yezza also built features to fit with many use cases in WhatsApp Commerce. For example, social media influencers use Yezza to deal with brands using WhatsApp. We found that customers also make table reservations through WhatsApp.\r\n\r\nMerchants pay us $12 per month & up to $0.25 per order. With 50M WhatsApp Business downloads in SE Asia, this creates a $7.2B market opportunity. Interestingly, a similar buying-via-WhatsApp behavior exists in Latin America & Africa.\r\n\r\nPreviously, we bootstrapped a tech-enabled travel company to $12M in annual revenue, by selling travel packages using WhatsApp. We built & used this product for 4 years in our previous company. During COVID19, we offshoot it to become a standalone business called Yezza.\r\n\r\nYezza is now backed by Y Combinator & angel who worked at Facebook/WhatsApp.",
    "one_liner": "Storefronts on WhatsApp in Southeast Asia",
    "team_size": 0,
    "industry": "B2B",
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    "launched_at": 1643010142,
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    "year_founded": 2020,
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    "country": "MY",
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        "user_id": 844352,
        "full_name": "Ammar Roslizar",
        "title": "Founder",
        "founder_bio": "CEO of Yezza.\n\nI'm building Yezza, a tech startup to help entrepreneurs earn money & save time.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ammarroslizar/",
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        "full_name": "Wan Aizuddin",
        "title": "Founder",
        "founder_bio": "CTO and Cofounder at Yezza | Loves coding and learning from others | Currently Mind-blown by Web 3.0",
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    "id": 25381,
    "name": "TeamOut",
    "slug": "teamout",
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    "website": "https://www.teamout.com/",
    "all_locations": "Los Angeles, CA, USA; Remote",
    "long_description": "TeamOut is a retreat platform for team managers. We offer easy-to-book venues for team retreats. Managers spend months planning for a retreat. We help them do it in just a few days. How? We offer 20+ bedroom private places with robust Wifi that companies can book in a few clicks. This is an incredibly exciting time to meet with your team again, build memorable experiences that your team will remember forever. ",
    "one_liner": "Online marketplace for team retreat venues",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
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        "full_name": "Thomas Mazimann",
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        "full_name": "vincent albouy",
        "title": "Founder",
        "founder_bio": "- Co-Founder / CPO / CTO @ TeamOut inc\n- Worked @IBM @VantAI (Acquired by RoivantScience )\n- Software engineer and Machine Learning Scientist\nHold patents and 7 AI papers\n\n",
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        "title": "Financial Analyst at TeamOut.com",
        "url": "https://www.ycombinator.com/companies/teamout/jobs/VYmXTy7-financial-analyst-at-teamout-com",
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        "type": "Full-time",
        "role": "Finance",
        "role_type": null,
        "salary_range": "$40K - $50K",
        "equity_range": "0.05% - 0.10%",
        "experience": "3+ years",
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    "launches": [
      {
        "id": 76274,
        "title": "TeamOut | The offsite revolution for small groups",
        "tagline": "Book everything for your offsite in one place",
        "body": "**TL;DR** \n\nTeamOut's latest update makes it easy for teams under 20 people to plan a team offsite. Choose among a selection of thousands of villas and hotels, add food, activities, and transportation in one click. Don’t delay your next offsite; make it happen today.\n\n![uploaded image](/media/?type=post&id=76274&key=user_uploads/707520/27bfaff0-7165-436e-8b54-630a0605f1b5)\n\n**Problem**\n\nAll team offsites require the same ingredients: accommodation, food, activity, and transportation. Unfortunately, today no platform exists to do everything in one place, and you end up spending hours looking for an affordable house or a hotel close to the airport. Then you have to make 50 phone calls to find a good catering company, activity, and so on. You're basically reinventing the wheel every single time, and as a result, your team is not meeting enough.\n\n\\\n**Solution**\n\n* Thousands of houses and hotels close to airports, curated for team offsites.\n* Food, activity, and transportation options available for each venue.\n* A team of dedicated trip designers to help you find the perfect match for your team.\n* Optional event planning services to put your planning on autopilot and remove the stress of planning an event.\n* Tools and resources to manage RSVPs, suggest team-building activities, icebreakers, and templated itineraries.\n* A solution used by companies like Netflix, Brex, Kayak, Cloudflare, and more\n\nExplore our selection of properties [here.](https://app.teamout.com/ai?utm_source=YC) \n\n![uploaded image](/media/?type=post&id=76274&key=user_uploads/707520/49190e59-8ada-482e-8a56-545b9e052361)\n\n\\\n**Backstory:**\n\nBefore getting into YC, we had spent hours planning offsites for our previous companies and realized how complex the search for a venue and the planning process were. \\\n\\\nSince then, we have talked to thousands of startups and companies from YC who expressed the same feeling: the process of planning an offsite is complex because the current supply of vendors is fragmented and not curated specifically for remote-first companies spread out across the country. \\\n\\\nWe figured there had to be a better way.\\\n\\\n**Interested?**\n\n![uploaded image](/media/?type=post&id=76274&key=user_uploads/707520/963dd510-37ac-4996-8654-b924e7bcf5dd)\n\nSpecial launch offer: get 33% off our event planning services for your first event with the code YC33.\\\n\\\nIf you’d like to give [TeamOut a shot,](https://app.teamout.com/ai?utm_source=YC) book a call with us. We’ll personally walk you through our catalog of properties and help you find the perfect accommodation and package for your team.\n\nOffsites start at $900 per person. \\\n\\\nWe’re also live on [Product Hunt](https://www.producthunt.com/posts/teamout-for-small-groups) today if you want to show some love 🥳",
        "url": "https://www.ycombinator.com/launches/JqE-teamout-the-offsite-revolution-for-small-groups",
        "votes": 11,
        "created_at": "2023-11-16T15:51:12.475Z"
      },
      {
        "id": 70601,
        "title": "TeamOut 🏝, the retreat planning platform",
        "tagline": "Meet TeamOut, where retreat planning becomes a walk in the park.",
        "body": "### 🌎 TL;DR\n\nTeamOut is the go-to platform for hassle-free offsite team planning. Explore thousands of curated retreat venues and vendors, receive personalized recommendations, gather quotes, and access exclusive deals – all in one place.\n\nSave hundreds of hours on research and negotiation with TeamOut's venue sourcing plan, available for free. Make offsite planning a breeze with TeamOut!\n\nHi everyone! We're Thomas and Vincent, co-founders of TeamOut. ⛷ 🛶\n\n![uploaded image](/media/?type=post&id=70601&key=user_uploads/707520/16736d39-f752-4d1a-be11-c46165c55697)\n\n### 🤔 Why are we the right ones to work on this?\n\n[Thomas](https://www.linkedin.com/in/thomas-mazimann), a former professional kayaker, has spent his life designing unforgettable experiences and adventures that bring people together. He was an early employee at Voxeet, contributing to their acquisition by (NYSE: DOLBY).\n\n[Vincent](https://www.linkedin.com/in/vincent-albouy-71132a92/), a former professional ski athlete and software engineer, has traveled to 50 countries and built large-scale applications for startups ([Vant.ai](http://Vant.ai)) and enterprise employers (IBM).\n\n### ❌ What's the problem?\n\n![uploaded image](/media/?type=post&id=70601&key=user_uploads/707520/7da530d7-45b8-432b-9836-83ca8901beab)\n\nPlanning team offsites is often a headache. Finding the perfect location for distributed teams, vetting vendors, collecting quotes, and organizing the event can be a full-time job.\n\n### 👨🏼‍💻 What have we built?\n\n[Watch our demo!](https://www.youtube.com/watch?v=8H5x0MwO8mU&ab_channel=TeamOut)\n\nTeamOut streamlines offsite planning by offering a single platform to explore thousands of retreat properties, collect quotes, create travel itineraries with activities and transportation, and manage essential event tasks.\n\n### 👋 Asks:\n\nAre you planning an offsite for your team (15+ people) or know someone who is? Feel free to reach out to us at [**founders@teamout.com**](mailto:founders@teamout.com) or book a meeting with us [here](https://calendly.com/teamout/teamout-intro-call-yc). We'd love to connect and help you plan more effective offsites with ease.",
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        "created_at": "2023-03-28T22:28:41.581Z"
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    "long_description": "Independent restaurants pay ~12% more than chains for the exact same food supplies because they buy alone.\r\nKaso uses AI agents to aggregate purchasing demand from restaurants and negotiate chain-level pricing with suppliers.",
    "one_liner": "AI group purchasing for restaurants",
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        "title": "🧬 HypaHub: Simplifying Bioinformatics",
        "tagline": "A cloud platform letting scientists build, manage, and deliver omic analytics faster than ever",
        "body": "## 🧐 **THE PROBLEM**\n\nSkilled professionals and cutting-edge technologies are key to the success of diagnostics and pharmaceutical companies.\n\nHowever, there are many **complex technologies**, heterogeneous data, and advanced algorithms in the genomic domain that are **not easily accessible**, resulting in increased cost and reduced efficiency.\n\n## 💡 **THE SOLUTION**\n\nWe are a **one-stop solution** designed to help scientists build data applications and perform data analytics. With just a few clicks, users can launch complex workflows with terabytes of data or perform interactive analyses **for insight**.\n\n![uploaded image](/media/?type=post&id=64256&key=user_uploads/804217/7c6333ef-d6c5-4ed1-b9ae-9349fb805bf7)\n\nBy eliminating the need to set up and maintain **high-end, R&D cloud infrastructure** and associated technology stack, we enable you to focus on your task and business at hand.\n\nWe **orchestrate cloud resources** for your bioinformatics needs while you retain ownership and are in full control of your costs.\n\n## 🗣️ **WHAT CUSTOMERS SAY ABOUT HYPAHUB**\n\nDiego Rey (Endpoint): HypaHub is hands down the best tool in our R&D cloud. It has helped us **accelerate our scientific discovery** beyond our imagination.\n\nPaul Tang (Accuragen): HypaHub helps us automate our workflows and **perform complex analysis effortlessly**. We can now advance our research more efficiently than ever!\n\nSharla White (ClearLight): HypaHub has helped our team **gain much more bioinformatics related insights** quickly. It is very user friendly and has excellent customer support!\n\n## 👥 **ABOUT US**\n\nWe are a team of **engineers** & **bioinformaticians** from Roche, Stanford, and Udacity, just to name a few.\n\n## 🚀 **TRY IT OUT**\n\nGet the first **HIPAA-compliant bioinformatics SaaS** that runs natively on your own cloud.\n\n[**Request a demo now**](https://www.hypahub.com)! \n\nFor qualified startups, you will receive a free trial and other perks through our Startup Program. \n\n[**Apply here**](https://portal.hypahub.com/#/register/startup)!\n\nHave more questions? [**Contact us**](mailto:sales@hypahub.com).",
        "url": "https://www.ycombinator.com/launches/GiO-hypahub-simplifying-bioinformatics",
        "votes": 32,
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        "full_name": "Beau Hartshorne",
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        "full_name": "Dirkjan Ochtman",
        "title": "Founder",
        "founder_bio": "Professional Rust open source maintainer. See https://xavamedia.nl/ and/or https://github.com/djc for more context.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dochtman/",
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      {
        "id": 80532,
        "title": "Strobe: Creator marketing for software companies",
        "tagline": "Strobe is the AI assistant for better creator partnerships",
        "body": "Hi everyone! We are [Beau](https://github.com/hartshorne) and [Dirkjan](https://github.com/djc), and we're here to present [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc), an AI tool that helps you **find proven influencers who already love your product.**\n\nDirkjan is a [rustls](https://github.com/rustls/rustls) maintainer and built a fast open-source [vector database](https://github.com/instant-labs/instant-distance) in Rust before anyone knew they needed one. As an engineer on Facebook's growth and mobile teams, [Beau](https://www.github.com/hartshorne) helped rebuild Facebook twice, once on the [web](https://techcrunch.com/2009/09/10/breaking-facebook-lite-launches-in-the-u-s/) and again on [iOS](https://techcrunch.com/2012/08/23/facebook-for-ios-faster/).\n\n[**Book a call**](https://calendly.com/strobe/beau) with Beau to learn how growth teams are working with influencers now.\n\n### Problem\n\nFounders and growth teams tell us that while influencer marketing has a high ROI, it’s very hard to **find and evaluate content partners at scale.**\n\n1. Finding partners who really understand and care about their products is hard.\n2. Teams do not want to work with creators who post controversial content or are already working with their competitors. But it’s nearly impossible to review thousands of posts by scrolling.\n\n### Our solution\n\n[Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) connects first-party social APIs with modern LLMs so you can quickly find and evaluate influencers in your community. We’re launching with Instagram and will soon roll out integrations with LinkedIn, YouTube, and other platforms.\n\n1. [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) finds influencers in your social communities who already love your products. You can also import your existing customers to find influencers who already use your products.\n\n   ![uploaded image](/media/?type=post&id=80532&key=user_uploads/10064/7c4f48ef-9042-4b52-a9d3-5362a373b7e9)\n\n2. [Strobe’s](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) fine-tuned LLMs instantly review thousands of posts with dozens of GPUs to identify key performance metrics, topics, controversial topics, brand partnerships, and unlabeled sponsored content.\n\n   ![uploaded image](/media/?type=post&id=80532&key=user_uploads/10064/800331c9-de29-4c76-8f94-48fa13aecf9d)\n\n\n### Our customers\n\n[Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) helps growth and marketing teams at software companies find great content partners at scale. Here are two examples:\n\n1. A large public B2C software company with \\~1M followers uses [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) to segment and analyze their audiences, including customers, to find content partners for influencer marketing.\n2. A growth-stage B2B software company with \\~75k followers uses [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) for competitive research and to screen out creators who share content that does not represent their brand values.\n\n### Our ask\n\n1. [Book a demo](https://calendly.com/strobe/beau) with Beau to see how [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) can help your team\n2. If you have an Instagram professional account, sign up for a free trial at [Strobe.app](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc)\n\n![uploaded image](/media/?type=post&id=80532&key=user_uploads/10064/944f654d-acf1-4ad1-a134-771a2237e1e5)\n\n### Thank you!",
        "url": "https://www.ycombinator.com/launches/Kwu-strobe-creator-marketing-for-software-companies",
        "votes": 18,
        "created_at": "2024-04-30T21:14:01.037Z"
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    "website": "https://miggos.com/",
    "all_locations": "São Paulo, SP, Brazil",
    "long_description": "Miggos is a wholesale marketplace for the 5 million+ mom & pop clothing shops in Latin America.\r\n\r\nWe're on a mission to make the lives of these mom & pop store owners in Latin America easier, connecting brands and manufacturers to small retailers and facilitating the entire process of purchasing, selecting, and discovering new products, credit, logistics, and service.\r\n",
    "one_liner": "Wholesale marketplace for mom & pop clothing shops in LATAM",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1646395293,
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      "B2B"
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    "batch": "Winter 2022",
    "status": "Active",
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      "Supply Chain and Logistics"
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    "regions": [
      "Brazil",
      "Latin America",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/miggos",
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        "title": "👾 Hyperbeam - Embed third-party apps, games, and websites anywhere",
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        "body": "### **TL;DR: Hyperbeam lets you embed any third-party website or application, synchronize audio and video flawlessly among multiple participants, and add multi-user control with just a few lines of code.**\n\nHey YC [👋](https://emojipedia.org/waving-hand/#:\\~:text=A%20hand%20waving%20most%20commonly,to%20Emoji%201.0%20in%202015.)\n\nWe’re Philip, Amby, and Declan, and we’re building [Hyperbeam](https://hyperbeam.com/?ch=yc&cm=lyc1) 👾\n\n### [🤔](https://emojipedia.org/thinking-face/) **The Problem**\n\nEmbedding third-party apps and websites can often be a nightmare due to incompatible platforms, security issues, and poor UX. Adding multiplayer functionality to these embeds makes this problem exponentially more difficult. This is an issue that countless remote learning, productivity, online social, and metaverse platforms face when building their products.\n\n### [💡](https://emojipedia.org/light-bulb/) **Our Solution**\n\nEnter Hyperbeam—an API that lets you embed virtual computers anywhere, including web, mobile, VR, and even VSCode. You can then open any third-party website or application, synchronize audio and video flawlessly among multiple participants, and add multi-user control with just a few lines of code.\n\n![uploaded image](/media/?type=post&id=65609&key=user_uploads/858376/f7507431-2db0-45e9-bcf7-5bbde27ebb1a)\n\n### [⚙️](https://emojipedia.org/gear/) **How it Works**\n\n1. [Sign up](https://hyperbeam.com/?ch=yc&cm=lyc1) on the Hyperbeam Dashboard\n2. Generate an API key and integrate the Hyperbeam API\n3. Customize the UX to your use case (e.g. control permissions, FPS, permitted websites, WebGL)\n4. Launch and track your user engagement!\n\nOn the backend, we’re spinning up a VM and running a resource-optimized fork of Chromium which we then stream to participants via WebRTC. Since we’re hosting the servers running the applications, multiple users can connect and control the virtual computer seamlessly, and their client just needs to handle a video stream.\n\n### **🙏 Asks**\n\nIf you or someone you know is building a…\n\n* [🎓](https://emojipedia.org/graduation-cap/) Remote learning platform\n* [🏢](https://emojipedia.org/office-building/) Virtual office\n* [💻](https://emojipedia.org/laptop/) Remote productivity tool\n* 👾 Metaverse\n* [🏟️](https://emojipedia.org/stadium/) Virtual conferencing app\n* [🥽](https://emojipedia.org/goggles/) VR app\n\n…we’d love to talk!\n\n**Join us on** [**Discord**](https://discord.gg/D78RsGfQjq)**,** [**book a meeting**](https://meetings.hubspot.com/hyperbeam/founders) **with the founders, or** [**sign up**](https://hyperbeam.com?ch=yc&cm=lyc1) **for a free API key. Thanks!**",
        "url": "https://www.ycombinator.com/launches/H4D-hyperbeam-embed-third-party-apps-games-and-websites-anywhere",
        "votes": 491,
        "created_at": "2022-08-24T23:44:03.310Z"
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        "user_id": 209312,
        "full_name": "Vishal Jain",
        "title": "Founder",
        "founder_bio": "Harvard '19, Bachelors & Masters in CS. Formerly an engineer at Microsoft, Cohesity, & Clumio.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vishal-jain-614254111/",
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        "full_name": "Varun Jain",
        "title": "Founder",
        "founder_bio": "Harvard '20. Formerly at Neeva.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/varun-jain-5567b2121",
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    "launches": [
      {
        "id": 89046,
        "title": "Viva Labs: AI Agents for Social Media Video Ads",
        "tagline": "Use AI to create and optimize winning short form video ad creatives",
        "body": "**Hi! Excited to be helping brands and marketing agencies turbocharge their video ad creatives with AI!**\n\n1. **Research Agent**: Figure out messaging in your ad creatives\n2. **Creation Agent**: Create UGC/Broll ads or repurpose existing video content\n3. **Analyst Agent:** Identifies opportunities to create more new ads\n\n**The problem?**\n\nMost brands (mobile/gaming apps, ecom/d2c brands, b2c/b2smb) we’ve talked to want to create engaging short-form video ads that convert.\n\nThey usually don’t have the time or budget to:\n\n* Hire expensive creators and video editors\n* A/B test video creatives\n* Figure out market positioning\n\nThey’ve been burned by expensive ad agencies.\n\nThey associate creating winning ads as a cumbersome process.\\\n\\\n\\\n**The solution? Viva Labs Ad Agents**\n\n1. **Research Agent:** uses AI to quickly & cheaply create in-depth creative research reports about your social media ad accounts. We research your audience, as well as other winning ads in your space, to help you develop compelling scripts and storyboards.\n\n   ![uploaded image](/media/?type=post&id=89046&key=user_uploads/209312/01e26b3d-ef63-4272-862c-e173b72471a6)\n\n2. **Video Creation Agent:** create AI generated UGC or voiceover ads that actually convert! Our agent not only matches B-roll footage but also automatically AI edits your video in different layouts.\n\n   ![uploaded image](/media/?type=post&id=89046&key=user_uploads/209312/42c481c8-c044-4222-8799-718b827379eb)\n\n3. **Ad Analysis Agent**: analyzes what’s working in your ad account and other related brands to optimize your ad creatives and escape ad fatigue.\n\n[Viva Labs Launch Video](https://vimeo.com/1071138183)\n\n**Example Video Ads :)**\n\nHere are some short form ads Viva Labs made for various companies and brands:\n\n* [Roundabout](https://vimeo.com/1065551864?share=copy)\n* [Officely](https://vimeo.com/1049141646?share=copy)\n* [Butternut](https://vimeo.com/1070035132?share=copy)\n\n**Asks:**\n\n1. Try out our self-serve video creation agents ([**https://app.vivalabs.ai/**](https://app.vivalabs.ai/))\n2. We’d appreciate any intros to any relevant brands or agencies that advertise on Meta, TikTok, Youtube, etc. (Email: [founders@vivalabs.ai](mailto:founders@vivalabs.ai))",
        "url": "https://www.ycombinator.com/launches/NAE-viva-labs-ai-agents-for-social-media-video-ads",
        "votes": 17,
        "created_at": "2025-03-31T16:18:52.542Z"
      },
      {
        "id": 84426,
        "title": "VivaChat: FaceTime with AI ⭐️",
        "tagline": "Video chat with realistic AI personas.",
        "body": "Hey everyone, we’re [Vishal](https://www.linkedin.com/in/vishal-jain-614254111/) and [Varun](https://www.linkedin.com/in/varun-jain-5567b2121/) - co-founders of [Viva Labs](https://vivalabs.ai/).\n\nCheck out our AI personalities roasting each other here! <https://youtu.be/O0H3WXzeJbY>\n\n**❌ Problem:**\n\nIn the age of AI, the text-based chat modality has become super pervasive, but it isn’t engaging enough. After GPT’s Advanced Voice Mode launch, we’re more excited than ever about authentic conversations with AI personalities. We think the next frontier will be incorporating video feeds!\n\n**✅ Our Solution:**\n\nVideo chat with the AI!\n\nWe believe that videos are the most effective way to create a personalized and engaging experience. On VivaChat, you can video chat with an AI therapist, digital marketing consultant, English language tutor, or tech recruiter. We’re also beginning to support business use cases around customer support, HR, and education.\n\n**Examples of experiences today?**\n\nGo [chat](https://app.vivalabs.ai/chat) with our real-time interactive avatar and:\n\n* rant about your tough week to an AI therapist\n* figure out how to fix your digital marketing strategy with an AI digital marketing consultant\n* improve your language learning skills with an AI English language tutor\n* practice common job interview questions with an AI interviewer\n\n**Enterprise uses cases**\n\n* Sales: Engage with prospects throughout the sales process\n* HR Avatars to conduct virtual interviews or answer employee questions\n* Educational Avatars: Practice speaking a language or try to learn something new\n* Integrate avatars with websites, e-commerce stores, conference/collaboration tools\n\n🙏  **Asks:**\n\nTry VivaChat for free: [https://app.vivalabs.ai/chat.](https://app.vivalabs.ai/chat)\n\nIf you have any inquiries around:\n\n* adding custom avatars, voices, or personalities\n* exclusive API access to integrate with Zoom, Teams, your website, etc.\n* larger-scale access with custom pricing\n\nReach out to [founders@vivalabs.ai](mailto:founders@vivalabs.ai) or join our Discord: <https://discord.gg/QPCR6qzMvY>",
        "url": "https://www.ycombinator.com/launches/Lxi-vivachat-facetime-with-ai",
        "votes": 116,
        "created_at": "2024-10-01T17:03:19.479Z"
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    "id": 25519,
    "name": "Fieldproxy",
    "slug": "fieldproxy",
    "former_names": [
      "Fieldproxy (Snippt Media Private Limited)"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/29d280b26b9013cd722967a3c3239ae0da94db1c.png",
    "website": "http://fieldproxy.ai/",
    "all_locations": "Chennai, TN, India",
    "long_description": "Fieldproxy is Retool for Field Teams. Our no-code SaaS application allows organizations to build internal mobile applications to manage field teams of any size.\r\n\r\nFieldproxy's vision is to be the Operating System for Field teams.",
    "one_liner": "Building AI agents for complex operations",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1643264607,
    "tags": [
      "SaaS",
      "Productivity",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
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      "South Asia"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/fieldproxy",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/fieldproxy.json",
    "year_founded": 2020,
    "city": "Chennai",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/snipp",
    "x_url": "https://twitter.com/fieldproxy",
    "fb_url": "https://www.facebook.com/fieldproxy",
    "cb_url": "https://www.crunchbase.com/organization/fieldproxy",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/29d280b26b9013cd722967a3c3239ae0da94db1c.png",
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        "user_id": 494169,
        "full_name": "Swaroop Vijayakumar",
        "title": "Founder",
        "founder_bio": "2x enterpreneur, love solving problems for customers, IIM Kozhikode",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/swaroopcmc/",
        "x_url": "https://twitter.com/swaroop_vij",
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      {
        "user_id": 160377,
        "full_name": "Balakrishna Balasubramanian",
        "title": "Founder",
        "founder_bio": "Worked across a variety of roles in software development, as expected of a tech co-founder.\nLove working on new products and ideas. If it changes the world, great. If it doesn't, at least I'd have some fun.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/balakrishna-b-a624a8106",
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    "news": [
      {
        "title": "Y Combinator leads $750k round of India-based SaaS firm | techinasia",
        "url": "https://www.techinasia.com/combinator-leads-750k-indias-saas-firm",
        "date": "Jul 13, 2022"
      },
      {
        "title": "Streamlining On-Ground Teams, DIY Style | Outlook Business",
        "url": "https://www.outlookbusiness.com/enterprise-3/big-idea-14/streamlining-on-ground-teams-diy-style-6358",
        "date": "Jan 09, 2022"
      },
      {
        "title": "SaaS Startup Fieldproxy Raises INR 2 Cr Seed Funding Round",
        "url": "https://www.entrepreneur.com/article/383795",
        "date": "Sep 06, 2021"
      },
      {
        "title": "[Funding alert] SaaS platform Fieldproxy raises Rs 2 Cr in seed round",
        "url": "https://yourstory.com/2021/09/saas-platform-fieldproxy-raises-seed-round/amp",
        "date": "Sep 05, 2021"
      }
    ],
    "launches": [
      {
        "id": 64305,
        "title": "🚀 Fieldproxy — Retool for field teams",
        "tagline": "Meet Fieldproxy, the platform that helps you build internal apps using no-code",
        "body": "**👋 Hi All!**\n\nThis is [Swaroop](https://www.linkedin.com/in/swaroopcmc/) and [Bala](https://www.linkedin.com/in/balakrishna-balasubramanian-a624a8106/) and we are extremely stoked to launch [Fieldproxy](http://fieldproxy.com/) to the world\n\n---\n\n💡 **Problem**\n\nWe ran a product development agency prior to this where we had built around 60 internal apps across 20 companies to manage their on-ground teams. These companies were across legacy industries like consumer goods, mining, telecom, pharma and energy.\n\nOrganisations across these industries have been using archaic decades-old ERP systems to manage their on-ground field teams. These systems are extremely rigid and inflexible. There are very limited options for such companies to choose.\n\n80% of the mobile workforce is deskless, but the majority of the productivity and internal SaaS tools are being built for 20% of desk workers. Hence the need for these companies to build reach out to development agencies to build bespoke internal applications or hire an in-house internal tech team - both of which are bound to lead to disastrous results, given technology is not the forte’ of such industries\n\n---\n\n💛 **What We Do**\n\nWe help businesses with field teams build internal mobile applications within 10 minutes to streamline their on-field operations.\n\nThink giving the power of building tools similar to what Uber or Doordash may use to manage their on-ground workforce to some of these traditional industries!\n\nYou can check out our detailed product overview page [here](https://www.fieldproxy.com/product)\n\n---\n\n💪**Product Demos/Walkthrough of Use Cases**\n\n1. Quick Product Overview - click [here](https://fieldproxy.hippovideo.io/video/play/t5JWAkAwEnG3dJiJsnfap_pEOhi1ZH8tokDbs9lhJ6k?utm_source=hv-campaigns&hreferer=private&_=1648446641)\n2. If you are in the Logistics space and want a take a look at the detailed location intelligence possible on the platform - click [here](https://www.loom.com/share/21288e2dcadf421981f09921f9294578?sharedAppSource=personal_library)\n3. If you run a Field servicing or field operations, click [here](https://fieldproxy.hippovideo.io/video/play/mH8rVjfpdDG-V1yHuwtjmkjedPkNUnVFegAPVZlC5ZA?utm_source=hv-campaigns&hreferer=private&_=1648446631) to see a short video on how to\n4. If you manage a Field Sales team, click [here](https://fieldproxy.hippovideo.io/video/play/WBhOyuWNfypZKDTx5_B_SEYNZeV3WpxVHJwSjGTsO94?utm_source=hv-campaigns&hreferer=private&_=1648446631) to see a short video on how to build a simple app with CRM-like functionality for your on-ground sales team\n\n---\n\n---\n\n💁‍♂️ **Asks**\n\n* **No-Code experts**/Founders of No-Code companies - If you are in the no-code space, would love to connect. We are still figuring out our GTM - and would love to have a quick 20-minute chat with people who have been there and done that. We will ensure we keep the questions very concise and specific!\n* **Industry Experts -** We are scaling up our template library in the consumer goods and field service verticals. If you are targeting similar industries or know someone in these industries who is up for a 40-hour paid consulting gig, please do let us know!\n* **Users** - Finally, if you do manage an on ground team, please do let me know! Would love to get on a call and help setup the workflows and applications that can help you get visibility and streamline your field operations\n\nIf there are any queries, feel free to drop a mail at [swaroop@fieldproxy.com](mailto:swaroop@fieldproxy.com) ",
        "url": "https://www.ycombinator.com/launches/GjB-fieldproxy-retool-for-field-teams",
        "votes": 18,
        "created_at": "2022-07-04T13:04:03.510Z"
      }
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    "id": 25521,
    "name": "Happl",
    "slug": "happl",
    "former_names": [
      "Tahora",
      "Happl (formerly Tahora)"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c17a303b95defe0b51fc282067b942a4dbdaa25.png",
    "website": "https://happl.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Happl - Personalised benefits for employees to choose what’s right for them, and tools for managers to engage their teams, whilst we take care of all the compliance and admin.\r\n\r\nFounded in 2020 and based in London, UK, Happl works with some of the UK’s leading employers to bring their hybrid working culture to life!\r\n\r\nhttps://www.happl.com/",
    "one_liner": "Your personalised benefits and engagement platform for global teams",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1639472348,
    "tags": [
      "SaaS",
      "HR Tech",
      "Insurance"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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      "Human Resources"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/happl",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/happl.json",
    "year_founded": 2020,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/happl",
    "x_url": "https://twitter.com/joinHappl",
    "fb_url": "https://facebook.com/joinhappl",
    "cb_url": "https://www.crunchbase.com/organization/tahora",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c17a303b95defe0b51fc282067b942a4dbdaa25.png",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 401900,
        "full_name": "Ben Towers",
        "title": "Founder",
        "founder_bio": "Ben (24) is Co-Founder at Happl (formerly Tahora). An entrepreneur since he was 11 years old when he started his first business, Towers Design, Ben has always been motivated by creating things that help people. By 18 he was named by The Times as 'the smartest teenager on the planet' and working with the UK Government and Royal Family on their entrepreneurship programmes. Prior to starting Tahora, Ben was the Communications Director at GlaxoSmithKline (GSK). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/towersben/",
        "x_url": "https://twitter.com/TowersBen",
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    "news": [
      {
        "title": "Happl closes venture investment round led by 6 Degrees Capital and Ascension | Happl",
        "url": "https://happl.com/blog/happl-closes-venture-investment-round-led-by-6-degrees-capital-and-ascension",
        "date": "Apr 08, 2024"
      },
      {
        "title": "HR Magazine - Monzo founder invests in anti-isolation app for hybrid workers",
        "url": "https://www.hrmagazine.co.uk/content/news/monzo-founder-invests-in-anti-isolation-app-for-hybrid-workers",
        "date": "Nov 29, 2021"
      },
      {
        "title": "Monzo founder banks on Tahora app to cure hybrid-working loneliness | Business | The Times",
        "url": "https://www.thetimes.co.uk/article/monzo-founder-banks-on-tahora-app-to-cure-hybrid-working-loneliness-p95bdb585",
        "date": "Nov 29, 2021"
      },
      {
        "title": "Gillingham entrepreneur Ben Towers, 22, raised £825k to launch workplace mental health app used by Met Police",
        "url": "https://www.kentonline.co.uk/medway/news/kent-entrepreneur-22-launches-mental-health-app-for-workplace-242859/",
        "date": "Feb 21, 2021"
      },
      {
        "title": "Revealed: The new app set to tackle the ‘work from home mental health crisis’ | Evening Standard",
        "url": "https://www.standard.co.uk/news/health/ben-towers-wfh-mental-health-crisis-b920639.html",
        "date": "Feb 21, 2021"
      }
    ],
    "launches": [
      {
        "id": 67761,
        "title": "Happl - Set up global benefits and recognition in seconds 🌍📦⚡",
        "tagline": "We manage all of your people engagement initiatives whilst saving you money and time on implementation, admin, and compliance.",
        "body": "TL;DR: Happl saves you time and money all whilst managing all of your people engagement and recognition initiatives. For leaders, we handle flexible benefits, allowances, insurance, and manager-to-employee gifting, all whilst ensuring you’re staying compliant. For employees, we use benefits as communities within your existing stack to engage, as well as understand them on a personal and inclusive level through interests and goals.\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/adb698a0-abe5-447b-a433-7efa64ed283e)\n\n**🤯 The problem**\n\nEmployees are not offered personal and inclusive benefits that have an impact, resulting in poor uptake, whilst often founders aren’t sure how to engage their global teams effectively.\n\nCompanies often roll out company-wide benefits such as a meditation app, or learning platform, in the hope that it’s going to magnificently fix their engagement and retention problems. We hate to break it to you, but that isn’t cutting it.\n\n**Our solution? Flip traditional benefits on their head ⬇️**\n\n* Flexible spend allowances, with controls and international support\n* A marketplace fo recommendations and discounts of quality over quantity\n* Community benefits, connect over shared benefits within slack\n* Personal and inclusive employee profiles for impactful recommendations\n* Manager engagement budgets with prompts and reminders for employee gifting\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/e2d3eb7b-274d-433d-8e17-b3c4c4d9dc14)\n\n**Who’s it for? 🌍**\n\nWe know what it’s like firsthand to scale a company with the weight of ensuring your team is engaged, and it’s not easy. Many of our users, who we like to call Happling’s (we’re working on that) have employees in many regions and simply want to consolidate their benefit allowance and roll it out with ease. Others want to make sure they’re getting the best prices and save money through benchmarking.\n\nWe support start-ups from 5 employees or more, all the way through to more mature companies with thousands of employees like Google, NatWest Bank, The Metropolitan Police, and more.\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/68a6073b-3a03-4904-931c-1b839f8f041c)\n\n**How it works 💡**\n\nWe handle everything from the get-go, with a speedy onboarding process through connecting with your HRIS and Accounting software. Rolling out spend allowances or manager expense cards is as simple as choosing an amount. We automatically detect multiple locations and convert the allowances so it’s fair for all employees.\n\nEmployees can sign up with SSO and curate a profile that's personal and inclusive to them. We can share this information with managers prior to gifting or organising a team event to engage.\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/91d47b14-2cea-4925-8b3e-8cf5127451c0)\n\n**How to get on it 🖥️**\n\nTake advantage of our YC Deal email me at [ben@happl.com](mailto:ben@happl.com)\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/07b30ce0-15a9-4a7e-badc-30b4dbfead31)\n\n",
        "url": "https://www.ycombinator.com/launches/Hcv-happl-set-up-global-benefits-and-recognition-in-seconds",
        "votes": 17,
        "created_at": "2022-12-07T14:51:48.316Z"
      }
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    "id": 25522,
    "name": "Unlayer",
    "slug": "unlayer",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcefc5d17d05bbb0fe7c4b9b5875db24dc093a45.png",
    "website": "https://unlayer.com",
    "all_locations": "Dubai, Dubai, United Arab Emirates",
    "long_description": "Unlayer helps companies add AI-powered content creation into their products without building it from scratch. Developers can embed visual builders for emails, pages, popups, and documents, then connect them to AI agents, templates, asset storage, exports, and APIs. We give teams the building blocks to let users and AI workflows create, edit, personalize, translate, and ship content directly inside their own product.",
    "one_liner": "AI-powered content creation infrastructure for apps",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1644263477,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Design Tools",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United Arab Emirates",
      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/unlayer",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/unlayer.json",
    "year_founded": 2017,
    "city": "Dubai",
    "country": "AE",
    "linkedin_url": "https://www.linkedin.com/company/unlayer/",
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        "id": 105004,
        "title": "Elements by Unlayer - Open-source React components for emails, pages, and PDFs",
        "tagline": "Elements lets developers and AI agents create emails, web pages, and PDFs from the same React codebase.",
        "body": "**TL;DR:** We’re launching Unlayer Elements, an open-source React content layer that lets developers and AI agents create emails, web pages, and PDFs from the same codebase. Write once in React, render everywhere.\n\nToday, we’re launching something new and open source:\n\n# Unlayer Elements\n\nAn open-source React content layer for developers and AI agents to create emails, web pages, and PDFs from the same codebase.\n\nGitHub: <https://github.com/unlayer/elements>\\\nDocs: <https://docs.unlayer.com/elements>\\\nDemo: <https://youtu.be/-ZoMlPYUbtk>\n\n## **The Problem**\n\nEvery SaaS product eventually needs content creation.\n\nAt first, it’s just one transactional email.\n\nThen it becomes welcome emails, password resets, receipts, invoices, reports, landing pages, PDFs, internal templates, previews, exports, and visual editing.\n\nMost teams end up maintaining separate systems for each output:\n\n* one system for email templates\n* one system for web pages\n* one system for PDFs\n* one system for visual editing\n* one system for exports\n\nThe content is often similar, but the implementation is different.\n\nThis becomes even more important now that AI agents are generating more code and content. Agents can create fast, but teams still need the output to be structured, reusable, version-controlled, and production-ready.\n\n![uploaded image](/media/?type=post&id=105004&key=user_uploads/105300/5911c2cd-ca33-48e8-86ff-72e1ce4fcfe7)\n\n## **What We Built**\n\nWe built Unlayer Elements: open-source React components for creating emails, web pages, and PDFs from the same codebase.\n\nDevelopers can use familiar components like:\n\n* &lt;Email>\n* &lt;Page>\n* &lt;Document>\n* &lt;Row>\n* &lt;Column>\n* &lt;Heading>\n* &lt;Paragraph>\n* &lt;Button>\n* &lt;Image>\n* &lt;Custom>\n\nEach output mode is tuned for where the content will live:\n\n* &lt;Email> renders email-safe table HTML\n* &lt;Page> renders responsive web HTML\n* &lt;Document> renders print-ready HTML for PDFs and documents\n\nSame component system. Different surfaces.\n\nA few examples of what you can build:\n\n* Transactional emails\n* Landing pages\n* Web versions of emails\n* Invoices\n* Receipts\n* Reports\n* Internal template galleries\n* PDF documents\n* AI-generated content flows\n\nElements also connects with the broader Unlayer platform. Developers can define content structure in code, and when visual editing is needed, teams can bring that work into Unlayer’s Builder so marketers, admins, or end users can edit without touching code.\n\n## **Our Ask**\n\nWe’re open sourcing this early because we want feedback from people building with React, Next.js, email, PDFs, templates, and AI-generated content.\n\nWe’d love for you to:\n\n1. Try it and tell us what feels useful or missing.\n2. Star the GitHub repo if you want to support the project.\n3. Share examples of emails, pages, PDFs, invoices, reports, or AI-generated content workflows you’d want Elements to support.\n\nGitHub: <https://github.com/unlayer/elements>\\\nDocs: <https://docs.unlayer.com/elements>\n\nWould love feedback from the YC community.\n\nEmail: [founders@unlayer.com](mailto:founders@unlayer.com)",
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        "votes": 5,
        "created_at": "2026-07-08T19:42:04.469Z"
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        "id": 102816,
        "title": "Unlayer: AI-powered content creation for your product",
        "tagline": "Let your users create beautiful emails, pages or documents with AI.",
        "body": "**TL;DR:** [**Unlayer**](https://unlayer.com) is an AI-powered content creation platform for developers. It gives you **embeddable builders**, templates, APIs, and AI toolkit so your users can create **emails**, **pages**, **documents**, and other content directly **inside your product**.\n\n<https://youtu.be/qp9t74G4VyM>\n\n—\n\n## The Problem\n\nAlmost every software product eventually needs users to create content.\n\nEmails, landing pages, proposals, invoices, documents, announcements, templates, PDFs, and more.\n\n![uploaded image](/media/?type=post&id=102816&key=user_uploads/105300/df31db0c-923c-4ac3-977d-bd881f9586d1)\n\nAt first, this looks like “just add an editor.” Then you need responsive rendering, templates, merge tags, asset management, permissions, versioning, exports, personalization, localization, and now AI generation.\n\nA small feature quietly becomes an entire content creation platform.\n\n—\n\n## What We Built\n\n**Unlayer gives developers the building blocks to add AI-powered content creation into their own products.**\n\nYou can embed visual builders for emails, pages, popups, and documents, then connect them to templates, file storage, exports, APIs, and AI workflows.\n\nYour users can visually create and edit content. Your AI agents can generate, personalize, translate, and modify that content through APIs and skills.\n\n![uploaded image](/media/?type=post&id=102816&key=user_uploads/105300/c9995728-e131-44cd-93cc-d295f255cf1b)\n\nOver time, Unlayer has grown to **1,000+ customers**, from startups to teams at **Netflix**, **Fidelity**, **Bank of America**, **Mastercard, Twilio, Chargebee**, and others.\n\nThat has given us a front-row seat into the same pattern: almost every product eventually needs users or AI to create content inside the product itself.\n\n—\n\n## Why AI Changes This\n\nContent creation is moving from manual editing to assisted and automated workflows.\n\nA user should be able to say:\n\n* **_“Create a launch email for this feature.”_**\n* **_“Translate this landing page into Spanish.”_**\n* **_“Turn this proposal into a branded PDF.”_**\n* **_“Personalize this announcement for each customer segment.”_**\n\n![uploaded image](/media/?type=post&id=102816&key=user_uploads/105300/639a8626-7790-4094-b684-c4800407a6c6)\n\nBut for AI to do this well inside a product, it needs more than a text box. It needs access to templates, design structure, brand rules, assets, exports, and the final builder where humans can review and edit.\n\nThat is what we are building with Unlayer.\n\n—\n\n## Our Vision\n\nWe think the future of content creation inside software has two interfaces:\n\n1. A visual builder for people\n2. An action layer for AI agents\n\nPeople should be able to drag, drop, edit, approve, and fine tune.\n\nAI should be able to create, rewrite, personalize, translate, export, and eventually ship content automatically.\n\nUnlayer is the infrastructure layer that connects both.\n\n—\n\n## Backstory\n\nWe started Unlayer because we kept seeing teams rebuild the same content creation stack over and over.\n\n**Email HTML is painful**. Landing pages need **forms** and scripts. Documents need **PDF generation**. Templates need **permissions**. Assets need **storage**. Every product needs customization. And now AI needs to work across all of it.\n\nWe have spent years solving these problems so other teams do not have to.\n\n![uploaded image](/media/?type=post&id=102816&key=user_uploads/105300/87ce4023-46cd-4d48-8e8a-06774d6c6bc4)\n\n—\n\n## Our Ask\n\nIf your product has users creating emails, pages, documents, templates, or customer-facing content, Unlayer will be useful for you. [Try it out](https://unlayer.com/)",
        "url": "https://www.ycombinator.com/launches/QkK-unlayer-ai-powered-content-creation-for-your-product",
        "votes": 17,
        "created_at": "2026-06-09T21:37:01.868Z"
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    "long_description": "Complif automates compliance processes for financial entities, including KYC/KYB, AML, risk profiling, documentation management and regulatory reporting.",
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    "country": "AR",
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        "full_name": "Lucas Ranallo",
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        "full_name": "Marwa Hage",
        "title": "Founder",
        "founder_bio": "Co-founder & CCO of Munily App | PropTech Entrepreneur | Women Empowerment | Community Building | Writer | TEDx Organizer | Speaker",
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        "full_name": "Khaled Alhaj",
        "title": "Founder",
        "founder_bio": "CEO of Munily App - Panama City",
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        "full_name": "Mitchell Contreras",
        "title": "Founder",
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        "linkedin_url": "https://www.linkedin.com/in/mitchell-contreras/",
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        "full_name": "carlos de la guardia",
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        "full_name": "Deboshree Dutta",
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        "founder_bio": "Deb is the CEO & founder of Criya AI - a MarTech AI startup with the vision to revolutionize B2B marketing with hypersonalized account based selling. Prior to Criya, Deb was Head of Product Management at PayPal (4+ years). She holds a MS in Computer Science from Carnegie Mellon and is a Product leader (Ex-PayPal, Microsoft) with 13+ years of experience.\nDeb is a creator with 150,000 followers, and has been featured on Forbes, New York Times, Tech Crunch, Harvard Business School, CBS etc. ",
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        "title": "Meet Criya: The Shopify Of Services That Helps Women Grow Their Side Hustles And Small Businesses Into Booming Careers",
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    "website": "https://haddock.app",
    "all_locations": "Barcelona, CT, Spain",
    "long_description": "haddock is a restaurant operations platform that combines a category-leading System of Record with AI-powered Systems of Action. It centralizes all operational and financial data into a single source of truth, and uses AI agents to autonomously execute workflows such as reconciliation, invoice validation, and incident resolution. By reducing manual work and dependence on scarce talent, haddock helps restaurants improve margins, accuracy, and operational control at scale.",
    "one_liner": "AI agents to run restaurant operations",
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        "body": "Hi everyone! My name is [Christina](https://www.linkedin.com/in/christinaseong/), and I’m building [Versable](https://www.versable.ai/). We use AI to help auto parts manufacturers, retailers, and distributors generate market-ready product listings at scale.\n\n**The data problem in auto parts**\n\nAuto parts retailers get product data from hundreds of manufacturers, often riddled with inaccuracies, inconsistencies, and missing key values. This forces companies today to manually process and enhance this data line by line, causing a weeks to months long lag between receiving product data and actually being able to start generating revenue from those products.\n\nThis bottleneck means companies are slower to market and unable to onboard new products at the scale they want. Manufacturers also face challenges with data requirements, which limits their ability to sell across multiple retailers or even consider listing their own products on online marketplaces like Amazon or eBay, which have even stricter platform-specific content guidelines.\n\n**How Versable solves this 10x better than the status quo**\n\nVersable leverages AI to scan the web for tens of millions of auto parts listings and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform product data. With just a part number, Versable generates market-ready titles, product descriptions, and specs in any required format. This means our customers are able to sell more, faster, and across more platforms than ever before.\n\nBy incorporating brand-specific voices and relevant SEO keywords, Versable ensures that in a market filled with near-perfectly competitive products, our customers can come out on top.\n\n![uploaded image](/media/?type=post&id=82840&key=user_uploads/581453/07aaedb4-ceef-4c5d-a8a5-270ac0c5e65e)\n\n**Our Ask**\n\n1. Connect us with companies dealing with auto parts (distributors, manufacturers, retailers)\n2. Reach out if you work with any e-commerce product data at scale! Always looking to connect with founders building other cool tools in the space. [tina@versable.ai](mailto:tina@versable.ai)\n3. Follow us on [LinkedIn](https://www.linkedin.com/company/versableai)!\n\n# ",
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        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Slai makes intelligent choices around machine learning setups for developers – TechCrunch",
        "url": "https://techcrunch.com/2022/05/10/slai-seed-round/",
        "date": "May 10, 2022"
      }
    ],
    "launches": [
      {
        "id": 95756,
        "title": "Beam - Open Source Modal Alternative",
        "tagline": "Run GPU inference, background jobs, and sandboxes with ultrafast boot times and no vendor lock-in.",
        "body": "**Hey all!**\n\n**We’re [Eli](https://www.linkedin.com/in/mernit/) and [Luke](https://www.linkedin.com/in/luke-lombardi-2165968b/) – co-founders of [Beam](https://beam.cloud).** \n\n**TL;DR**\n\n[Beam](https://beam.cloud) is an open source alternative to Modal for running AI apps. Coca Cola, Magellan AI, Shippabo, and Stratum use Beam for serverless inference, sandboxes, and background jobs. We're 100% open source and self-hostable.\n\nhttps://www.youtube.com/watch?v=Itu_jCnyfJc\n\n**The Problem**\n\nIf you're building an AI product, you need a fast serverless platform to run your code, whether that's GPU inference, background jobs, or sandboxes for agents. \n\nExisting cloud platforms either lock you in (Modal) or aren't optimized for serverless AI workloads (Lambda, SageMaker, Kubernetes). Various sandbox providers exist (e2b, Daytona) but don’t support a full range of AI compute workloads.\n\n**Our Solution** \n\nBeam is your all-in-one serverless cloud for AI applications. You can run inference endpoints, background jobs, sandboxes, and more – all with a simple decorator in your Python or Typescript code. There’s no YAML and no configuration required. \n\nhttps://youtu.be/UxQ9O8pVVKk\n\nThis is possible thanks to a custom container runtime and distributed storage layer we built to run large container images with low cold start. We provide the security and isolation with gVisor, and build and launch new container images lightning fast.\n\nSome of the features we support include:\n\n* Fast image builds\n* GPU support\n* Memory/file system snapshotting\n* GPU checkpoint restore (stop and resume sandboxes while preserving running processes)\n* File system operations\n* Run long sessions that last over 24h\n* Open source and self-hostable\n\n **The Team**\n\nEli and Luke were college roommates and have been building products together pretty much since then.\n\nBefore starting Beam, Eli and Luke frequently attended hackathons and built a serverless framework to quickly ship web apps onto the cloud. When they started tinkering with AI, they realized that no serverless framework existed to make it easy to deploy AI models on the cloud. They decided to build it.\n\n![uploaded image](/media/?type=post&id=95756&key=user_uploads/313369/0bd4a323-556b-441a-ac00-7c61bf0c69c7)\n\n**Our Ask**\n\n* Try Beam here: [beam.cloud](http://beam.cloud)\n* Star us on Github: https://github.com/beam-cloud/beta9\n\nIf this post resonated with you, we’d love to connect: [founders@beam.cloud](mailto:founders@beam.cloud)",
        "url": "https://www.ycombinator.com/launches/OuS-beam-open-source-modal-alternative",
        "votes": 46,
        "created_at": "2025-11-25T16:15:38.074Z"
      }
    ]
  },
  {
    "id": 25576,
    "name": "Drivingforce",
    "slug": "drivingforce",
    "former_names": [
      "OpenOps",
      "Trucking Up",
      "FreightOps",
      "drivingforce.ai"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fabc1eea159b033eedc3f4aa05730c1c4b7dd5a5.png",
    "website": "https://www.drivingforce.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Drivingforce is building “Rippling for trucking”, an all-in-one workforce management solution for the trucking industry. We consolidate multiple back office functions such as compliance, payroll, and recruiting, so trucking fleets can manage their entire workforce in one place.\r\n\r\n\r\nCheck us out on TikTok!\r\ntiktok.com/@truckingnewbie",
    "one_liner": "Rippling for trucking",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1641884071,
    "tags": [
      "Fintech",
      "SaaS",
      "Logistics",
      "HR Tech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/drivingforce",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/drivingforce.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/drivingforcehq",
    "x_url": "https://twitter.com/drivingforcehq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fabc1eea159b033eedc3f4aa05730c1c4b7dd5a5.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 425869,
        "full_name": "Kevin Huang",
        "title": "Founder",
        "founder_bio": "I'm an ex-Uber engineer and the founder of Drivingforce. We are building \"Rippling for trucking\", an all-in-one workforce management solution for trucking fleets. While researching the industry through building an audience on TikTok, I saw the myriad of back office challenges that fleet owners faced and started Drivingforce. \n\nCheck us out on TikTok!\ntiktok.com/@truckingnewbie",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/kevinzhuang10/",
        "x_url": "https://twitter.com/kevinzhuang10",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59ba84689212952d3677cc290f09b87e9377e5f7.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Y Combinator Company Exits Stealth Mode",
        "url": "https://www.freightcaviar.com/y-combinator-company-exits-stealth-mode/",
        "date": "Jun 23, 2023"
      },
      {
        "title": "Meet the 29-Year-Old Behind TikTok's \"Trucking Newbie\"",
        "url": "https://www.businessinsider.com/tiktok-trucking-newbie-california-ab5-port-oakland-protests-2022-9",
        "date": "Sep 12, 2022"
      }
    ],
    "launches": [
      {
        "id": 72422,
        "title": "Drivingforce - Rippling for trucking",
        "tagline": "All-in-one workforce management solution for the trucking industry",
        "body": "### **TLDR**\n\nDrivingforce is building “Rippling for trucking”, an all-in-one workforce management solution for the trucking industry. We consolidate multiple back office functions such as compliance, payroll, and recruiting, so trucking fleets can manage their entire workforce in one place.\n\n### **WHY is Rippling (or Gusto, ADP) insufficient for trucking?** \n\nCompliance is uniquely challenging for trucking fleets because:\n\n1. The majority of their workforce consists of truck drivers who are regulated by the Department of Transportation (DOT).\n2. Due to the nature of the labor market, there is a high volume of truck driver turnover within fleets, resulting in a considerable amount of administrative overhead.\n3. In addition to personnel, they also need to manage a number of expensive assets, such as trucks, trailers, etc.\n\nGeneric HR solutions (e.g. Rippling, Gusto, ADP, etc.) are insufficient for trucking fleets because they are not designed to address these distinctive needs. Consequently, fleets resort to adopting various point solutions alongside their HR providers, resulting in increased operational complexity of managing multiple systems.\n\n### **Solution**\n\nDrivingforce is an all-in-one workforce management solution designed for trucking fleets. It consolidates multiple point solutions into a single platform, simplifying compliance, fleet management, and HR operation. Key modules include:\n\n* **Compliance:** Automated monitoring and alerts ensure DOT and regulatory compliance.\n* **HR:** Streamlined onboarding and tracking of essential employee data and documents.\n* **Asset Management:** Efficiently track assets, assignments, and maintenance schedules.\n* **Hiring:** DOT-compliant digital application portal and applicant tracking system (ATS) optimized for driver recruiting.\n* **Payroll:** Seamless payroll processing, accommodating various pay structures like hours, miles, or load.\n\nWith Drivingforce, trucking fleets can effectively manage their back office all within a single platform.\n\n![uploaded image](/media/?type=post&id=72422&key=user_uploads/425869/797d4bd4-c4af-456f-9cbe-629c7a608668)\n\n### **Backstory**\n\nMy path to Drivingforce was not linear, and I had no prior experience in trucking. Previously, I worked on another supply chain idea related to manufacturing, but decided to pivot. While exploring other supply chain sectors, I became intrigued by the trucking industry due to its immense size and potential opportunities.\n\nAs I got started, I reached out to several other trucking founders in the YC community for guidance. Interestingly, a few of them independently shared a similar piece of advice: _\"If you want to learn about trucking, go to truck stops and talk to truckers.”_\n\nTaking their advice to heart, I embarked on a series of visits to truck stops. Along the way, I decided to document my experiences and learnings through [**TikTok, under the name “Trucking Newbie”**](https://tiktok.com/@truckingnewbie). Some of these videos gained traction within the trucking community. As the TikTok account grew, content creation became a unique way for me to engage with users and conduct market research.\n\nDuring my exploration, I consistently heard trucking company owners express their challenges in managing a dynamic workforce. As I delved deeper, I observed how they pieced together various tools and processes to manage their personnel and equipment while trying to comply with DOT regulations. Witnessing their frustrations with juggling multiple systems in their daily operations, the idea for Drivingforce took shape.\n\n![uploaded image](/media/?type=post&id=72422&key=user_uploads/425869/fe60374d-d25c-4e12-8e19-69727d333451)\n\n### **Asks**\n\n* **📣 Share:** Share this post with your network.\n* **🔔 Follow:** Follow us on [TikTok](http://tiktok.com/@truckingnewbie) and [LinkedIn.](https://www.linkedin.com/company/drivingforcehq/)\n* **🤝 Refer:** If you know of any trucking fleets that could benefit from Drivingforce, please connect us ([kevin@drivingforce.co](mailto:kevin@drivingforce.co)).",
        "url": "https://www.ycombinator.com/launches/Iq6-drivingforce-rippling-for-trucking",
        "votes": 136,
        "created_at": "2023-06-21T15:18:17.920Z"
      }
    ]
  },
  {
    "id": 25583,
    "name": "Bunkyr",
    "slug": "bunkyr",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bab71568a30f64680488b01543947e165355c6d6.png",
    "website": "https://bunkyr.com",
    "all_locations": "Denver, CO, USA",
    "long_description": "Bunkyr enables companies to protect their users’ data with a simple, hardware-secured API. When a user forgets their password, applications using Bunkyr can provide them a familiar, robust recovery method to restore access to encrypted data.\r\n\r\nZero-Knowledge architectures and end-to-end encryption are the only true safeguards against data breaches, but come with large user-experience burdens and engineering overhead. Bunkyr eliminates these obstacles in a way that is friendly to both developers and users, cost-effective, and extremely fast.\r\n\r\nUsers won’t even know Bunkyr exists, while their data stays protected against both breaches and lost passwords.",
    "one_liner": "Zero-Knowledge security without seed phrases or backup codes",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1646850303,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Crypto / Web3",
      "B2B",
      "Security"
    ],
    "tags_highlighted": [
      "Crypto / Web3"
    ],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bunkyr",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/bunkyr.json",
    "year_founded": 2021,
    "city": "Denver",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/bunkyr",
    "x_url": "https://twitter.com/Bunkyr",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/bunkyr",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bab71568a30f64680488b01543947e165355c6d6.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [],
    "jobs": [],
    "news": [
      {
        "title": "Bunkyr raises over $1M to bring frictionless security to developers and end users • Bunkyr",
        "url": "https://bunkyr.com/blog/posts/2022/06/16-pre-seed-funding",
        "date": "Jun 16, 2022"
      }
    ],
    "launches": []
  },
  {
    "id": 25587,
    "name": "Dart",
    "slug": "dart",
    "former_names": [
      "Pivot",
      "Keeple"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/83756d8c7862167a3ed5773168260fe15640608c.png",
    "website": "https://www.dartai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dart is a fully-featured project management tool that lets you chat with AI to create tasks, plan roadmaps, generate reports, and handle any other PM work. You can then use customizable agents to complete work across every role. Thousands of teams use Dart in order to chat with their tasks, plan better, and eliminate regular PM chores from their schedule, freeing up seven hours per week to focus on other work.",
    "one_liner": "The work and agent management platform",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1646780324,
    "tags": [
      "Generative AI",
      "B2B",
      "Productivity",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/dart",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/dart.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/dart-ai",
    "x_url": "https://x.com/its_dart",
    "fb_url": "https://www.facebook.com/dartprojectmanagement",
    "cb_url": null,
    "github_url": "https://github.com/its-dart",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/83756d8c7862167a3ed5773168260fe15640608c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 850757,
        "full_name": "Milad Malek",
        "title": "Founder",
        "founder_bio": "I'm a co-founder at Dart helping to build the most intelligent project management tool.\n\nPreviously I studied physics at Stanford. After that I was an investor at Plug and Play Ventures where I led ventures activities in the Smart Cities vertical focused on energy and sustainability. I also worked with major corporations on their innovation strategies, and I helped to launch various international offices.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/miladmalek/",
        "x_url": "https://twitter.com/milad3malek",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a35cd5531b6731ec27ba27248dca33c4dcc0dc6e.jpg"
      },
      {
        "user_id": 850776,
        "full_name": "Zack Swafford",
        "title": "Technical Cofounder",
        "founder_bio": "I'm a cofounder at Dart, which is the ultimate agent and work management tool!\n\nBefore Dart I was at Stanford, then Plenty. As the first engineer there I laid the groundwork for our full stack application suite, data pipelines, and ML and CV models. We grew very quickly so I hired out a full team, building and managing an org of dozens of engineers, product managers, and others.\n\nWould love to chat about Dart (which typically saves teams about a third of their PM time) or anything else--ping me!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zswafford/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/002dc8dccaa5ef692336818dcdf4102b3e9f360c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 51781,
        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/dart/jobs/AMpkzCj-frontend-engineer",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$40K - $100K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Bash/Shell",
          "Dart",
          "Git",
          "JavaScript",
          "React",
          "TypeScript",
          "Software Architecture",
          "Vue.js",
          "Prototyping"
        ]
      },
      {
        "id": 75538,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/dart/jobs/fY0s284-backend-engineer",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$40K - $100K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Amazon Web Services (AWS)",
          "Bash/Shell",
          "Dart",
          "Django",
          "Git",
          "PostgreSQL",
          "Python",
          "Redis",
          "Software Architecture"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 93995,
        "title": "🎯 Dart: Cursor for Project management",
        "tagline": "Plan projects by chatting with Dart, then hand tasks to AI agents to get things done.",
        "body": "Hey, we’re Dart, and we’re launching AI Chat and Agents on YC and [ProductHunt.](https://www.producthunt.com/products/dartai)\n\nhttps://youtu.be/wdOTDKvaZS0\n\n# **Problem**\n\nProject management involves many hurdles. Tasks falling through cracks, team members wondering what they should be working on, and PM work that takes up more time than the projects themselves. Most project management tools force you to spend an inordinate amount of time on the “management” side instead of talking to users and building products.\n\nLegacy productivity and PM tools have been slow to adapt to LLMs, and even the newer, better ones have only recently begun clumsily tacking on AI features in an attempt to keep up with the trend.\n\n# **Solution**\n\nWe built Dart with AI incorporated from the ground up so teams stop managing logistics and start delivering outcomes. Most PM tools add “AI features.” Dart is fundamentally designed around AI: chat is the UI and agents are first-class collaborators.\n\n* **AI Chat:** Chat to create projects, tasks, subtasks, timelines, specs, and reports. Then conversationally manage your projects as you go\n* **AI Agents:** Invite our built-in or third-party custom agents to handle tasks across all roles such as marketing, design, sales, and coding\n* **Plug into your stack:** Connect all your tools like ChatGPT, Claude, Cursor, n8n, Slack, Discord, GitHub and more\n\n# **Our asks**\n\n* 🎯 Try out Dart today! Sign up at [dartai.com](https://dartai.com/) and leave us some feedback.\n* 😻 Support [our Product Hunt launch](https://www.producthunt.com/products/dartai)\n* We’re hiring for dev and marketing roles! [Apply here.](https://www.ycombinator.com/companies/dart/jobs)",
        "url": "https://www.ycombinator.com/launches/OS3-dart-cursor-for-project-management",
        "votes": 286,
        "created_at": "2025-09-20T10:56:55.553Z"
      },
      {
        "id": 78558,
        "title": "Dart - AI-powered project management",
        "tagline": "The AI tool that will save you seven hours per week in project management overhead",
        "body": "# tl;dr\n\n[Dart](https://www.dartai.com) is a fully-featured project management tool that uses AI to assist with roadmap planning, report generation, breaking tasks into subtasks, and executing on basic writing and design tasks. Teams use Dart in order to plan better and eliminate regular PM chores from their schedule, freeing up seven hours per week to focus on other work.\n\n![uploaded image](/media/?type=post&id=78558&key=user_uploads/850757/7bf68dfc-c1d3-409b-8b7d-995cca92e54c)\n\n# The problem\n\nIt's critical for teams to have some sort of project management system that works in order to stay organized and keep making progress. The issues arise when that project management process begins to take up an undue amount of time. Common processes like filling out and categorizing tasks, writing PRDs, cleaning out the backlog, and other ‘work about work’ are seen as simply the cost of doing business when using legacy tools.\n\n# Solution\n\nDart provides a more intelligent project management suite that will save each person on your team seven hours a week in standard PM busywork. In addition to best-in-class management for tasks, documents, roadmaps, calendars, and more, Dart also boosts your productivity with a suite of helpful AI enhancements.\n\nhttps://youtu.be/CMsBAv9CCyU\n\nThese AI functions include:\n\n\\- Automatic standup, changelog, and project report generation\n\n\\- Roadmap planning\n\n\\- Duplicate task detection\n\n\\- Subtask generation\n\n\\- Automatic Task execution with agents (currently for writing and design tasks)\n\n\\- Task categorization and filling (e.g. automatically assigning tasks to the right person)\n\n\\- AI-powered brainstorming\n\n\\- ChatGPT integration\n\n# Our Ask\n\nTry it out! [Dart is freely available](https://app.dartai.com/sign-up) to use now and start managing tasks with your team. We'd love to support and are always welcome to ideas or feedback.",
        "url": "https://www.ycombinator.com/launches/KR4-dart-ai-powered-project-management",
        "votes": 424,
        "created_at": "2024-02-20T16:06:22.408Z"
      }
    ]
  },
  {
    "id": 25588,
    "name": "Castled.io",
    "slug": "castled-io",
    "former_names": [
      "Castled",
      "Castled Data"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a415f42fd3d3ae124e10f5ef086446cbfc36c4ec.png",
    "website": "https://castled.io/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Castled.io is a Customer Engagement Platform (CEP) that brings the power of data in the warehouse to the marketer.  \r\n\r\nEssentially, Castled.io is similar in feature set to Braze, CustomerIO or MoEngage with a major difference - We don't store your customer data. Instead Castled sits on top of your cloud data warehouse to create segments and engage them across channels.",
    "one_liner": "Customer Engagement software on top of BigQuery/Snowflake",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1639493587,
    "tags": [
      "SaaS"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Marketing"
    ],
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        "title": "Castled - Build audiences on your data warehouse without SQL",
        "tagline": "The No-Code Customer Segmentation Engine tailor made for Product and Marketing teams",
        "body": "**tl;dr** **Marketers often wait weeks or months for data teams to sync customer data to their advertising and marketing tools. Castled Audiences help marketers take charge of their data by providing a No-code Customer Segmentation Engine directly on top of cloud data warehouses like Snowflake, BigQuery and Redshift.**\n\n### 😰 The Problem\n\nModern-day marketers are increasingly adopting data warehouses like Snowflake and BigQuery as the source of truth for customer data. However, they are still forced to rely heavily on the data teams to get the data out of the data warehouse to their advertising/marketing tools.\n\nThe restriction is primarily due to the complex SQL queries required to create even the most straightforward customer segments. For example, here is the SQL to create a segment of abandoned cart users on Snowflake.\n\n![uploaded image](/media/?type=post&id=70296&key=user_uploads/846239/c2471db8-ecb8-437d-bdab-f11e59503dcf)\n\nTherefore, marketers are often forced to make tradeoffs in their campaign efficiency as a result of the constraints imposed by limited engineering resources.\n\n## 🛠 How Castled Audiences solve this problem\n\nThe Audiences feature offers a point-and-click Segmentation tool, which helps marketers create the customer segments they need without SQL and send them to a destination of their choice, e.g., Google Ads, Braze, HubSpot, etc. \n\n![uploaded image](/media/?type=post&id=70296&key=user_uploads/846239/e71e7f81-811b-4a9b-888e-f2f742c2c1c9)\n\nHere is a 3-minute demo of how marketers can create a segment of cart abandoners directly on Snowflake and then sync them to Google Ads for retargeting.\n\n<https://www.youtube.com/watch?v=yocbTTr-twU>\n\n## 🚀 Get Started\n\nWe would love for you to try us out and share your feedback. Signup at [castled.io](http://castled.io) and give it a spin. Or, if you have a google account, directly sign in using [app.castled.io](http://app.castled.io). \n\nAlso, if this resonates with you, we'd love to chat! - Shoot an email to [founders@castled.io](mailto:founders@castled.io), or book a demo [here](https://www.castled.io/audiences-demo).\n\n**Castled Audiences is available in our Starter Plan irrespective of the number of destinations or the volume of data.**",
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        "title": "Castled - Customer Engagement using Customer 360 in your data warehouse",
        "tagline": "Robust and Cost-effective Marketing Automation Platform that sits on top of your Cloud Data Warehouse.",
        "body": "**tl;dr** **Marketers often make trade-offs in campaign efficiency due to various limitations in existing marketing automation tools. Castled helps businesses overcome these pain points by providing a Marketing Automation Platform built natively on top of Cloud Data warehouses.**\n\nWe're [Arun](https://www.linkedin.com/in/arun-thulasidharan-53a1322b/), [Abhilash](https://www.linkedin.com/in/abhilash-thulaseedharan-3a3a451a/), and [Frank](https://www.linkedin.com/in/frgeorge/), and our vision is to bring the power of Customer 360 in the data warehouses to visionary marketers.\n\n### 🎙 Why yet another Marketing Automation Platform\n\nWe started our journey by building an open-source Reverse ETL solution to make quality customer data available to marketers.\n\nHowever, after talking to 100s of marketers, we realised that there are other fundamental limitations in the existing tools that prevented the marketers from leveraging this data in its true sense. That's when we changed course and built a solution to address these problems.\n\n### 😰 Limitations of existing Marketing Automation tools\n\n* **Need for maintaining a leaky pipeline:** Traditional marketing automation tools needs a pipeline to move the customer data to the tool, which is always at risk of breaking.\n* **Immoderate dependency on the Data & IT Team:** Dependency on the data team for the above-mentioned pipeline maintenance and for running campaign-related queries which often results in delays affecting campaign effectiveness.\n* **Unavailability of quality customer data:** Unavailability of quality customer 360 with relevant historical behavioural data, which is vital for up-selling, cross-selling and re-engaging existing customers\n* **Unreasonable data volume-based pricing:** Traditional marketing automation tools charge in terms of the data points consumed or MAUs, which can get unreasonably expensive for most B2C businesses as the data to move is generally exorbitantly high volumes.\n* **Customer Data Security concerns:** Info-sec team have concerns about the regulatory, privacy and data protection requirements and external security audits as the customer data moves out of the system.\n* **Restrictive data retention:** The data retention in most tools is limited to a few months, drastically reducing the accuracy of the marketing campaigns.\n* **Unreasonably high Time to Value**: It takes months of tech integrations and resource bandwidth before the marketing tools start delivering value.\n\n### 💡 Advantages of our Solution\n\n* **Reduced dependency on the data & IT team:** Since the data don’t leave the warehouse, the dependency on the data team is considerably reduced and is limited to the initial setup. No pipelines to maintain.\n* **Increased data security:** Since the customer data don’t leave your warehouse, we are secure by design.\n* **Cost-effective:** Castled does not store the customers' demographic or event data. This makes Castled 75% more cost-effective than a traditional marketing tool. \n* **Unlimited data retention:** Marketers can use all their customer and behavioral data in the warehouse during customer segmentation. It enables the marketer to cross-sell, up-sell or reengage existing customers more efficiently to increase their LTV.\n* **Low TTV and ease of getting started**: All the data required to run the campaigns are already sitting in the cloud data warehouse. Get started in hours instead of months.\n* **Improved data consistency:** Castled uses Customer 360 in the warehouse directly. No sync is needed to keep data consistent.\n\n## 🛠 How Castled works\n\nCastled is the CEP a modern marketer needs, as it provides the flexibility in creating relevant and dynamic user segments directly on top of the Customer 360 in your data warehouse with _no dependency on the data team or requiring SQL knowledge to do so._\n\nCreate relevant and timely campaigns or user journeys in Castled to engage the segment of users across different channels.\n\n<https://www.youtube.com/watch?v=bzWVWXr21Ok>\n\n## 🚀 Get Started\n\nSignup at [castled.io](https://castled.io) and give it a spin. Or, if you have a google account, directly log in using [app.castled.io](https://app.castled.io).\n\nIf this resonates with you, we'd love to chat! - Shoot an email to [founders@castled.io](mailto:founders@castled.io), or grab a time [here](https://calendly.com/arun-castled/castled-demo).",
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        "title": "Reforged Labs - Generate and optimize video ad campaigns",
        "tagline": "Generate and optimize video ad campaigns at superhuman speed",
        "body": "![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/a67b3219-3d42-44ad-b0fc-77040bc0eb90)\n\n**TL;DR:** [Reforged Labs](https://reforgedlabs.com/) is automating the full marketing cycle for mobile game studios with GenAI. Our text-to-ad creation and campaign performance solutions will slash time spent on ad creatives and help game developers get more mileage out of their game ad budgets.\n\n😤 **THE PROBLEM**:\n\nMarketing games is expensive and challenging. Mobile game studios spend >50% of their budgets on marketing - more than on development itself - to acquire and retain players. Today, your marketing workflow likely consists of this:\n\n* Design up to thousands of image, video, and playable ad units per campaign - for multiple campaigns across multiple ad networks\n* Analyze how each ad unit performs - then try your best to figure out which aspects of your ads made them hit or miss (because your reporting tools won’t be giving you that data)\n* Revise your ads and design new ones based on your best guess on what makes your players tick, without knowing whether your experimentation will pay off\n* Manually replace old and low-performing ads with new ones, and repeat the process across all your ad channels\n\n🤩 **THE SOLUTION**:\n\nWe make marketing campaigns substantially faster to run + deliver higher returns on your ad spend. Upload your game images and footage, enter simple text prompts for the ads you’d like to see, and we’ll extract the relevant visual assets and create your ads using a proprietary combination of LLMs, machine perception, and computer vision. Automatically resize finished creatives to fit multi-platform specs and export them as campaign-ready ad units.\n\nReduce your ad development time from days / weeks / months to minutes.\n\n![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/179c886c-ad78-41b9-bc44-f9c4d354a183)\n\nOnce your campaign is up and running, our models analyze and identify which attributes likely made certain ads more effective. Our self-improving models will\n\n🎨 Improve your existing ads by adjusting visual elements to include performance-lifting attributes\n\n🌟 Create new & original ads based on re-scanning your uploaded assets\n\n🚀 Automatically push new & improved ads to your x-channel campaigns and retire low-performers\n\nIncrease the ROI on your biggest expense with continuous, data-driven optimization.\n\n![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/03f5587d-e3e3-4796-88f5-5b8aa2871c30)\n\n🎮 **OUR STORY**:\n\n[**Oscar**](https://www.linkedin.com/in/oscarxingluo) and I ([**Robert**](https://www.linkedin.com/in/huynhrobert/)) met over two years ago as serial founders who shared a love for gaming (and countless hours of duo-queuing in League of Legends). We wanted to put our data science and GenAI/deep learning backgrounds to work on solving one of the biggest problems in a space we’re deeply passionate about - and that’s how Reforged Labs was founded six months ago. We’ve since formed a guild of ex-Googlers, ex-Rioters, ex-Microsofties, and a rolodex of indie and multinational clients, to join us on our journey to innovate game marketing!\n\n![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/d5a46d9b-d785-4a88-aea3-c26aa725589a)\n\n🙏 OUR ASK:\n\n* **Warm intros!** Share our post with mobile game developers, publishers, agencies, or marketers who’d like to explore what GenAI can do for them - we’d love to connect! Our waitlist is [**here**](https://reforgedlabs.com/) and our inbox is always open at [**founders@reforgedlabs.com**](mailto:robert@reforgedlabs.com)\n* **Ideas and feedback!** We’re constantly looking to connect with people with expertise in gaming, martech, and AI. Hit us up through our [**Calendly**](https://calendly.com/reforged/meet-robert) to let us know what would make you want to use a product like Reforged, or just to chat!\n\n**Meet with us in person at GDC March 18-22.** We’ll be around the corner of the Moscone Center and ready to mingle!",
        "url": "https://www.ycombinator.com/launches/KXG-reforged-labs-generate-and-optimize-video-ad-campaigns",
        "votes": 28,
        "created_at": "2024-03-01T14:10:59.180Z"
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        "id": 76102,
        "title": "Flagright AI Forensics 🛡️  AI-native AML investigations for fintechs & banks",
        "tagline": "We increase the quality and speed of financial crime investigations through natural language queries & AI agents",
        "body": "tl;dr: AI Forensics supercharges AML compliance & fraud team performance with a 90% productivity boost by harnessing natural language queries and AI-native analysis. [Watch it](https://www.youtube.com/watch?v=xRBKj2RLUvc&t=1s) in action 👇🏼.\n\nHi everyone, we are Madhu and Baran, from [Flagright](https://flagright.com).\n\n# 🚀 Introducing Flagright AI Forensics: The modern standard in AML compliance\n\nAt Flagright, we've created a powerhouse tool that enhances the speed and quality of financial crime investigations. By blending natural language processing with robust AI agents, we transform how fintechs and banks stay compliant and prevent financial crime.\n\n# 🔍 The Problem\n\nFinancial crime investigations take too long. Fintechs & banks cannot scale volume and grow without hiring a proportional amount of headcount into AML and fraud departments. This is because data is silo’d, teams have to access data on many different tools, and process/manipulate this data to investigate the suspicious activity as they reach a conclusion. As a result, they are always limited by the time it takes to conduct these tasks every single day for every single alert.\n\n# ✨ The Solution\n\nAI Forensics delivers extreme performance through natural language queries and AI-native analysis of suspicious activity. It can learn from a company’s internal policies, procedures, or continuous usage of the platform such as how past investigations were conducted.\n\n![uploaded image](/media/?type=post&id=76102&key=user_uploads/672295/67c58686-2cad-4bf5-83dd-29cef4e17321)\n\nIt is build on top Flagright’s centralized data infrastructure and data processing pipelines with LLMs and algorithms. That’s how it’s able to deliver accurate, cohesive analysis across a wide variety of use cases. Unlike pure LLM solutions, it can accurately make factual analysis, calculations, and display charts & tables instantly.\n\n# 🛠 How It Works\n\n<https://www.youtube.com/watch?v=xRBKj2RLUvc&t=1s>\n\n# 📣 Ask\n\nBe part of our journey in building the next generation anti financial crime infrastructure for fintechs & banks globally:\n\n* Follow us on LinkedIn to stay posted on our latest updates at <https://www.linkedin.com/company/flagright>\n* Get in touch for a live demo and to learn more at <https://www.flagright.com/contact>",
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        "created_at": "2023-11-09T09:47:36.523Z"
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        "id": 71272,
        "title": "Flagright AI: A GPT-powered AI toolkit for AML compliance ops",
        "tagline": "Supercharge your financial crime prevention & AML compliance with Flagright AI & GPT",
        "body": "Hi there, this is [Baran](https://www.linkedin.com/in/baranozkan/) and [Madhu](https://www.linkedin.com/in/madhugnadig/) from [Flagright](https://flagright.com/)! 👋🏼\n\nFlagright provides an all-in-one software for financial institutions to manage financial crime risk and meet AML compliance regulations 🕵🏼. Our unified API delivers the essential (and mandatory) capabilities for regulatory compliance such as transaction monitoring, risk scoring, sanctions screening, case management and more, all managed via a no-code, flexible, and intuitive interface by the operational teams.. Flagright offers the fastest integration times globally: 4 days on average across all integrations with fintechs in 6 continents.\n\n![uploaded image](/media/?type=post&id=71272&key=user_uploads/89898/43eea7a5-9a88-4233-b405-f0a70bc36ebe)\n\n> # \n>\n> # **The launch: Flagright AI 🤖**\n>\n> Financial crime ops teams spend a lot of time doing research on customers and investigating suspicious activity on a daily basis. The mundane tasks are the main driver of inefficiency and headcount for financial institutions and fincrime teams 😩. Flagright AI **automates these tasks and even eliminates it entirely** for certain use cases such as merchant monitoring 🔎.\n\nIn addition to our proprietary technology, Flagright AI leverages the GPT API for specific features. **This is the first time the power of GPT is brought to AML compliance teams at scale, globally!** 🚀\n\nHere's an overview of the newest capabilities:\n\n1. **Merchant monitoring and alerting 🔎:** The GPT-powered merchant monitoring and alerting module enables Flagright customers to monitor merchants across multiple sources and channels with zero manual input. It eliminates 100% of manual monitoring efforts and improves fincrime operations while ensuring fast response times and maximum risk-mitigation.\n2. **Salesforce, Zendesk, and Hubspot integrations + GPT summaries ✉️:** The CRM integrations will consolidate your CRM correspondence within the Flagright case management system, with Flagright AI summarizing the highlights of customer correspondence. It eliminates the need to comb through tens of emails and messages for each customer correspondence. As a result, it saves analysts 15% of their time each day, improving operational efficiency and accuracy.\n3. **Case and alert narrative generator ✍️:** Our AI Narrative Writer drastically improves analyst performance, decreasing the time it takes to write a contextual narrative for each suspicious activity by 90+%. Flagright AI captures an analyst’s writing style, sentiment, user information, case closing reason, and specific suspicious activity.\n4. **AML AI risk score ⚠️:** AML Compliance Officers can now leverage AI to risk score their customers as a complementary mechanism to their traditional risk assessment (CRA) approach. The combination of heuristics & AI delivers maximum operational efficiency while maintaining explainability for regulators.\n5. **SAR generator 📇:** Our Suspicious Activity Report generator leverages GPT and can automatically create a SAR for any suspicious activity flagged by our platform's monitoring systems, reducing the time spent by 99%. Flagright AI ensures that SARs are generated consistently and accurately and reduces the risk of errors in manual SAR creation.\n\nFlagright AI represents a significant milestone in our journey to empower financial institutions with best-in-class operational tooling for AML compliance and fraud prevention.\n\nWe are excited to see the impact that Flagright AI will have on our customers and building a safer, more secure financial ecosystem. [Contact us](https://www.flagright.com/contact) to schedule a free demo if you are interested in learning more.\n\n# Launch deal\n\n* 50% discount on Flagright AI suite for the next 5 customers that sign up. First come, first serve! Get a demo now by clicking [here](https://www.flagright.com/contact)!\n* Y Combinator companies have additional discounts apply [here](https://deals.ycombinator.com/deals/1159).",
        "url": "https://www.ycombinator.com/launches/IXY-flagright-ai-a-gpt-powered-ai-toolkit-for-aml-compliance-ops",
        "votes": 34,
        "created_at": "2023-04-30T07:17:27.843Z"
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      {
        "id": 67971,
        "title": "Flagright Launchpad 🚀: Radically simplify fintech licensing & BaaS onboarding",
        "tagline": "A faster & cheaper alternative for fintechs to do BaaS onboarding, apply for a license, or create AML compliance policies.",
        "body": "[Flagright Launchpad](https://www.flagright.com/professional-services) helps starting or scaling fintechs simplify regulatory licensing and BaaS onboarding.\n\n![uploaded image](/media/?type=post&id=67971&key=user_uploads/672295/3bafeb6a-2d0c-437c-b1b6-7df426efba53)\n\nIt’s currently available in the UK 🇬🇧, Canada 🇨🇦, Singapore 🇸🇬, Kenya 🇰🇪, and the EU 🇪🇺, with new jurisdictions launching soon. With Launchpad, you can 👇:\n\n1. **Onboard with BaaS providers** of your choice or connect with our partners like CurrencyCloud, Rapyd, ClearJunction and more. 🏦\n2. Create **customized AML compliance policies** for each jurisdiction & use case. 📜\n3. **Apply for fintech license** in each jurisdiction for specific license types. 💼\n4. Get **advisory services for AML compliance** or fraud-related questions. 🛎\n\n![uploaded image](/media/?type=post&id=67971&key=user_uploads/672295/306bdf29-b01e-43c2-8a22-285d31b3e501)\n\n### **Expert Team** 🦸\n\nLaunchpad is built by fintech operators and led by ex Group MLRO of Revolut with 15+ years of experience in regulatory relationships, AML compliance, and banking.\n\n### **What we don’t do** ⛔\n\nFlagright team does not provide legal advice.\n\n### **How to get in touch** 🤙\n\nSchedule a call & get started at <https://www.flagright.com/professional-services>",
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        "votes": 30,
        "created_at": "2022-12-19T16:06:45.111Z"
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        "date": "Sep 20, 2023"
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        "full_name": "Nicholas Rudder",
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      {
        "title": "a16z leads $21M Series A into AI-native tax compliance software Sphere | TechCrunch",
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        "id": 83117,
        "title": "Sphere - Global sales tax / VAT / GST compliance powered by LLMs  🌎",
        "tagline": "We help US companies sell anywhere in the world while remaining compliant.",
        "body": "### **TLDR**\n\n[Sphere](https://www.getsphere.com/?utm_source=yclaunch&utm_medium=launchpost) puts global indirect tax compliance (i.e., sales tax, VAT, and GST) on autopilot - everything from nexus monitoring, registration, calculation / collection, filing, and remittance. Our AI-powered tax engine helps tech companies like Runway AI, Sierra AI and Codieum remain in compliance when selling to customers around the world. Want an estimate on your global indirect tax liability free of charge? [Talk to the Sphere team today](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team).\n\n### **The problem**\n\nWhen I ran [my last business](https://www.businessinsider.com/y-combinator-edtech-startup-sphere-seed-round-workplace-training-2022-8), we sold our product globally from day 1 and had a number of challenges with domestic and international tax compliance.\n\nSpecifically, we didn’t even know where/when we needed to pay sales tax, VAT, or GST, and even when we did, dealing with archaic government portals and filing on a regular basis was a royal pain in the behind. \n\nAfter talking to hundreds of finance leaders, we found similar pain points, and when it comes to indirect tax, companies either:\n\n* **Ignore it,** but their tax liabilities accrue, and eventually, they have to pay the liability out of pocket, which can block future fundraises. Additionally, it is becoming increasingly difficult to ignore as tax authorities pass new regulations to clamp down on indirect tax evasion, especially for tech companies. \n* **Use an incumbent tax automation tool** (e.g. Avalara), but they don’t provide functionality for international coverage, are old/clunky, very expensive, and offer terrible support\n* **Use local tax advisors,** which becomes incredibly expensive as you scale\n\n### **Our solution**\n\nSphere’s platform puts international indirect tax compliance (i.e., sales tax, VAT, and GST) on autopilot:\n\n_Step 1_: We integrate with your payment, billing, and HR solutions to help you see where in the world you’ve triggered economic or physical nexus and how big your indirect tax liability is.\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/d64c617f-1911-4b9d-a509-aa38218c8d7a)\n\n_Step 2_: Once you know where you’re exposed you can register in any jurisdiction via our integrations with local tax authorities. We’ve done the heavy lifting of building these integrations to provide a holistic and superior customer experience (unlike other solutions that will push you to one of their international advisory partners)\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/2fd26632-aa74-4117-a949-691ba98a4c19)\n\n_Step 3_: We leverage scraping technology and LLMs to collect, monitor, and process tax code data around the world (which is then verified by tax experts). Our AI tax engine integrates with your payment and billing provider to ensure you’re calculating and collecting tax correctly for your transactions based on 1. the product being sold and 2. the customer's location.  \n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/b171ff6b-e556-4bb0-9aee-9652ca25ea98)\n\n_Step 4:_ We then file your tax returns in each jurisdiction and remit tax collected to local authorities - on time, every time.\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/92a2e99e-18c3-4a94-bf6b-2909ffe49c48)\n\n### **How we are different** \n\n* **True global coverage**: We’ve built out integrations with tax authorities around the world and are building a proprietary system that uses AI to collect and monitor tax data globally, providing compliance across sales tax, VAT, and GST. Other vendors will say they are ‘global’ but will offload you to an international partner for VAT / GST (which means a disjointed experience, more work for you, and more $$$ spent)\n* **We're focused on fast-growing software / AI companies:** We are an extremely developer-friendly product (easy implementation, broad set of integrations, flexible APIs) and have the most transparent and reasonable pricing on the market ($100 / region/month all-inclusive)\n* **Built with AI at the core**: Our tax engine is powered by an LLM trained on local + global tax legislation and tax rate data to ensure all your transactions are in compliance wherever you sell (other vendors do this research manually, which is hard to scale globally and prone to errors!).\n\n### **Team** \n\n[Nick](https://www.linkedin.com/in/nicholasrudder/) comes from a finance background in the TMT sector (PwC, Macquarie) and experienced the pain of dealing with indirect tax firsthand in his last business, which was a B2C marketplace selling across the world. \n\n[Mehmood](https://www.linkedin.com/in/meshde/) and [Miguel](https://www.linkedin.com/in/miguelribeironeto/) built and optimized many of the cross-border compliance systems at Deel and were previously the founding engineers at Capbase (founded by YC alums), which helped businesses with entity setup and administrative compliance around the world.\n\nWe’re also lucky to have a team of indirect tax experts from companies like Uber, Avalara, and more. \n\n### **Vision** \n\nWe are building an AI-powered cross-border compliance platform so that businesses can transact seamlessly around the world. \n\nAs our engine ingests more compliance legislation from each region and becomes more robust with each customer, we will layer in additional cross-border services, including withholding tax, e-invoicing, and payments services, to further help businesses go global from day 1.    \n\n**_We want to be the Deel for international billing._** \n\nBy abstracting away compliance and cross-border payment admin, we believe this: \n\n* Levels the playing field for startups to compete against global incumbents\n* Helps governments and local economies benefit more from international trade\n\n### **Asks** \n\n* Want to better understand your tax liability? [Onboard with Sphere for free,](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team) and we’ll show you where you’re exposed and provide an estimate of your tax liability (we only charge once you register and file for a jurisdiction) \n* Know a CEO or finance leader who needs help with sales tax / VAT / GST or hates their current solution? Please reach out to me at [nicholas@getsphere.com](mailto:nicholas@getsphere.com) or feel free to send the below blurb to them.\n\n\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\\nA YC company called [Sphere](https://www.getsphere.com/?utm_source=yclaunch&utm_medium=referralblurb) has built an AI-powered indirect tax compliance platform that offers global coverage, easy implementation, and stellar support, all for a flat fee per region per month. They’re already helping global software and AI businesses like Runway AI, Sierra AI, Codeium, and many more. Book a time with them [here](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team).\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/50763454-8047-46b2-8320-4903d0c66473)\n\n",
        "url": "https://www.ycombinator.com/launches/Lcb-sphere-global-sales-tax-vat-gst-compliance-powered-by-llms",
        "votes": 54,
        "created_at": "2024-08-16T14:34:53.765Z"
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        "answer": "We aim to help business teams build their own custom processes, workflows without writing a single line of code & through a simple spread sheet like interface. \r\n\r\nWe have started with a basic mobile first spreadsheet app where users can\r\n1. Create spreadsheets - Where we offer 18 different data types such as Image, Google Map Location, DropDown, Status etc  for easy data entry\r\n\r\n2. Collaborate : A mobile phone based collaboration eliminates the need to email ids and passwords. The added control where admins can limit edit control of members.\r\n\r\n3. Export : Users can export either entire sheet or just one row data in PDF format. Later we'll add different export formats to cover different use cases."
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        "full_name": "Abhishek Choudhary",
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        "founder_bio": "Building for SMBs in emerging markets, Passionate about SaaS & Marketplaces. From IIT Kanpur.",
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "The IOMETE self-hosted data lakehouse platform unifies all data - regardless of where the data resides - enabling large-scale analytics (BI/ML/AI) on the entire data set. IOMETE runs always in the customer's environment, whether on premises, on public cloud or private cloud thereby maximizing data security, data privacy and data ownership while reducing cost.",
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    "industry": "B2B",
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        "full_name": "Vusal Dadalov",
        "title": "Founder",
        "founder_bio": "Vusal Dadalov is cofounder & CEO at iomete, the first complete data infrastructure delivered as a single platform.\n\nMy background is Distributed Systems Engineer. Previously worked at Uber, Careem, OLX Group, Azercell Telecom",
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        "title": "Former Tuft and Needle CEO is building a startup with Valley roots and big poten",
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        "date": "Mar 08, 2022"
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    "id": 25635,
    "name": "SkyLink",
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    "website": "http://www.tryskylink.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "SkyLink is transforming corporate travel into a hassle-free, efficient experience. By integrating advanced route optimization and reducing the need for traditional travel agents, we're not only saving companies millions but also simplifying the travel process. \r\n\r\nWith SkyLink, employees can effortlessly book their travel, just like sending a Slack message. Trusted by leading global corporations, our platform acts as a pocket-sized travel agent, ensuring smart, cost-effective travel decisions and a smoother journey for everyone involved. \r\n\r\nSkyLink is where simplicity meets innovation in corporate travel.",
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    "team_size": 53,
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        "title": "Superflow AI: QA agents for your website",
        "tagline": "AI agents that QA every page of your website",
        "body": "## TL;DR\n\nAI made creating websites fast. Checking still costs what it always did. [Superflow](https://usesuperflow.ai/) closes that gap: it turns your QA checklist into AI agents.\n\n* They sweep every page of your site and handle the black and white issues: a dead link, a typo, a form that doesn't submit, a layout that breaks a written brand guideline.\n* You handle taste: the calls with no reference to check against, like whether a design direction is right or a page is good enough to ship. An agent can flag a page. Only a person can approve one.\n* They learn from every review, so the hundredth site gets checked better than the first.\n* Teams tell us the agents catch about 90% of what they used to find by hand. The other 10% needed a person all along.\n\n## Demo\n\n<https://www.youtube.com/watch?v=x8g5jZ2vKno>\n\n## The problem\n\nAn agency founder told us, \"We're never changing our QA process. It's tight.\"\n\nThen he sent us the checklist: 400 rows. Ten people clicking through every page by hand.\n\nWe ran our agents on one of his live sites. First finding: placeholder text, live for months. It was on the checklist. Row 212.\n\nChecklists don't fail because they're wrong. They fail because a human is on row 212 at 9pm on a Friday.\n\nAnd the misses that hurt aren't broken links:\n\n* A phone number in the header that doesn't match the footer.\n* \"Award winning\" on a site with no award. In dental, that's a regulator problem.\n* A previous client's name in a testimonial because the page was cloned.\n\nCreating a site collapsed to an afternoon. Checking it didn't budge.\n\n## How it works\n\n* Upload your checklist as is: spreadsheet, PDF, or doc. No reformatting.\n* Superflow turns it into a set of agents, including any custom checks on your list.\n* They run in parallel on every page, phone and desktop. A full site takes minutes.\n* Every finding is pinned on the page with a screenshot, so if the layout shifts later you still have the picture.\n* It fits your process: custom statuses, private team comments (agent findings stay team-only until you clear them), two way sync with your task tool, and a daily recap.\n* Agents learn. Reject a finding and it stops coming back. Catch a miss yourself and it becomes a check on every site after.\n\n## Backstory\n\nLast week we moved our own site from Framer to Next.js.\n\nThe step that used to eat the timeline, clicking through every page to catch what silently broke, our own agents did before sign off.\n\nThe build took a week. We were live in two, start to finish.\n\nCreating done by AI. Checking done by agents. Judgment kept by people.\n\n## Ask\n\nTry [Superflow](https://usesuperflow.ai/) on one page of your own site. No card, no login for reviewers.",
        "url": "https://www.ycombinator.com/launches/Swz-superflow-ai-qa-agents-for-your-website",
        "votes": 2,
        "created_at": "2026-08-18T15:55:44.561Z"
      },
      {
        "id": 99540,
        "title": "Velt Cursor plugin: Add Real-Time Collaboration to your App in 10 mins",
        "tagline": "/install-velt. One command. Add CRDT, comments, activity logs, and notifications to your app in one command.",
        "body": "Type **/install-velt**. The agent reads your codebase, asks which features you want, and scaffolds everything.\n\nComments that attach to specific elements. Real-time editing (CRDT). Presence. Cursors. Notifications. Activity logs. All wired up. Working app.\n\nAdding collaboration features looks like a weekend project. It's not.\n\nComments that anchor to elements. CRDT editing that doesn't corrupt data. Live cursors. Notifications. Activity logs. Each one is simple alone. Together they touch auth, state, routing, permissions, websockets. Get the order wrong and nothing works.\n\nMost teams skip it or spend months on it. Regret both.\n\nWe encoded 140+ implementation rules into the plugin so the agent doesn't make those mistakes. It also includes two MCP servers and a velt-expert agent persona for architecture questions.\n\n→ Watch the demo: <https://www.youtube.com/watch?v=-7we6P5w6I8>\n\n→ Cursor Directory: <https://cursor.directory/plugins/velt>\n\n→ Cursor plugin: <https://github.com/velt-js/velt-plugin-cursor>\n\n→ Claude Code plugin: <https://github.com/velt-js/velt-plugin-claude>\n\n→ Docs: <https://docs.velt.dev/get-started/plugins>\n\nIf you try **/install-velt** on an existing project and something breaks, tell us. That's the case we most want to stress test.",
        "url": "https://www.ycombinator.com/launches/PtU-velt-cursor-plugin-add-real-time-collaboration-to-your-app-in-10-mins",
        "votes": 6,
        "created_at": "2026-04-07T20:19:13.619Z"
      },
      {
        "id": 99380,
        "title": "Velt Activity Logs: Audit trail for humans and AI agents",
        "tagline": "One audit trail for every action in your product. Who did what, and when.",
        "body": "\n![uploaded image](/media/?type=post&id=99380&key=user_uploads/195692/08763c82-d915-4369-8e0d-2d5a820be7de)\n\nRight now, most products have no idea what their AI agents did yesterday.\n\nThat's going to seem crazy in two years.\n\nEvery SaaS product is adding AI agents that write, edit, and approve things. But only human actions produce an audit trail. AI agents just act. No record. No attribution. No proof a human reviewed the output.\n\nThis breaks the moment a customer's compliance team asks one question: \"Did a human approve this?\"\n\n**What we built:**\n\nVelt is a collaboration infrastructure SDK. Comments, presence, real-time editing (CRDT), recording, notifications. Activity Logs is the newest piece.\n\n→ Auto-captures comments, reactions, recordings, CRDT edits. Zero config. \n\n→ createActivity() for your own events. One function call. \n\n→ AI agents produce the same record as humans. Same schema. Same attribution. \n\n→ Immutable by default. SOC 2 Type II. HIPAA with BAA.\n\nAgent acted → Human reviewed → Decision recorded. The pair is the proof.\n\n**Ask:**\n\nIf your enterprise buyers are asking for proof of human oversight over AI, we built this for you. Try it and tell us what's missing.\n\n<https://velt.dev/activity-logs>",
        "url": "https://www.ycombinator.com/launches/Pqu-velt-activity-logs-audit-trail-for-humans-and-ai-agents",
        "votes": 5,
        "created_at": "2026-04-02T19:32:54.147Z"
      },
      {
        "id": 98498,
        "title": "Velt Claude plugin: Add Real-Time Collaboration to your App in 10 mins",
        "tagline": "Claude Code plugin that adds CRDT, comments, presence, and notifications to your app in one command.",
        "body": "Building collaboration features from scratch is one of those problems that looks simple and isn't.\n\nCRDT for live sync. Presence to show who's online. Comments that attach to specific elements. Notifications. Permissions. \n\nIt compounds fast. Most teams either skip it or spend months on it and regret both decisions.\n\nWe've been building this infrastructure for 4 years. Varonis, Pendo, HeyGen, Freshworks, Trumpet already use it in production.\n\nToday we're launching a Claude Code plugin that installs all of it in under 10 minutes.\n\nYou run one command. It asks which features you want. \n\nYou give it your API key. It installs, configures, and wires everything together.\n\nThat's it.\n\n→ Watch the demo: <https://www.youtube.com/watch?v=JpfKRu65DTk>\n\n→ Get started: <https://velt.dev/>\n\n→ Docs: <https://docs.velt.dev/get-started/plugins>\n\nWe're a small team and we read every message. \n\nIf you try it and something doesn't work, tell us.",
        "url": "https://www.ycombinator.com/launches/Pcg-velt-claude-plugin-add-real-time-collaboration-to-your-app-in-10-mins",
        "votes": 3,
        "created_at": "2026-03-05T17:38:44.587Z"
      },
      {
        "id": 94308,
        "title": "Velt: Multiplayer Editing Toolkit for React Flow (Build Multiplayer Agent Workflows)",
        "tagline": "Add multiplayer editing capability in minutes.",
        "body": "If you are building AI agents and AI workflow builders inside your product, then you are most likely using[ React Flow](https://reactflow.dev/) to power these experiences. Now with[ Velt](https://www.linkedin.com/company/veltjs/), within a few minutes you could make these workflows multiplayer just like Figma's FigJam! We’ve created a purpose-built plugin for React Flow that makes any react flow implementation multiplayer out of the box.\n\n![uploaded image](/media/?type=post&id=94308&key=user_uploads/195692/38bab09b-d530-458b-9c03-25444a9d5758)\n\n**Velt does the heavy lifting:**\n\n* fully managed ultra low latency backend\n* real-time merges and conflict resolution (CRDT via Yjs)\n* offline support\n* presence indicators\n* slack-style huddle\n* figma-style comments and notifications\n* custom encryption for additional security\n\nYou can focus on delivering epic value to your users. No more building complex infra from scratch.\n\n**Demo**\n\n* [Demo video](https://www.youtube.com/watch?v=mgz0jOCLyUA)\n* [Live Demo](https://velt-reactflow-crdt-demo.vercel.app/)\n* [Sample code](https://github.com/velt-js/velt-reactflow-crdt-demo)\n* [Docs](https://docs.velt.dev/realtime-collaboration/crdt/setup/reactflow)\n\n**Customers**\n\nWe power multiplayer experiences for companies like **Heygen**, **Pendo**, **Runway**, **Vellum** etc\n\n### [**Try today**](https://velt.dev/multiplayer-editing)",
        "url": "https://www.ycombinator.com/launches/OX6-velt-multiplayer-editing-toolkit-for-react-flow-build-multiplayer-agent-workflows",
        "votes": 8,
        "created_at": "2025-10-03T01:06:50.117Z"
      },
      {
        "id": 84853,
        "title": "Velt: Tiptap Comments",
        "tagline": "Enable comments and collaboration in your Tiptap editor.",
        "body": "With [**Tiptap Comments Extension**](https://www.npmjs.com/package/@veltdev/tiptap-velt-comments), you can add Google Docs-style overlay comments to your Tiptap editor. Here is a [**demo video.**](https://www.youtube.com/watch?v=PIWBwV3IHok) You can [**try it here.**](https://documentation-app-demo.vercel.app/)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=84853&key=user_uploads/195692/d711f012-f784-4ed9-b481-5ee328b75f07)\n\nIt's fully customizable and comes with a lot of powerful built-in features like attachments, mentions, recording, notifications and more.\n\nAdding comments and notification features have shown to boost engagement and growth with platforms. If you use Tiptap in your product, you could enable powerful collaborative experiences using [Velt](https://velt.dev/).\n\n### **Installation**\n\nYou can install the NPM package [here.](https://www.npmjs.com/package/@veltdev/tiptap-velt-comments)\n\n### **Supported Frameworks**\n\nAll major JS frameworks like React, Next, Angular, Vue, Svelte.\n\n### **More about Velt SDK**\n\nWith Velt SDK you can add powerful collaboration features to your product extremely fast.\n\nThe SDK provides **fullstack components**:\n\n* UI and behavior are fully customizable to match your product's needs\n* fully-managed on a scalable realtime backend\n\nFeatures include:\n\n* **Comments** like Figma, [Frame.io](http://Frame.io), Google Docs, Sheets and more\n* **Recording** like Loom (audio, video, screen)\n* **Huddle** like Slack (audio, video, screensharing)\n* In-app and off-app **notifications**\n* **@mentions** and assignment\n* **Presence**, **Cursors**, **Live Selection**\n* **Live state sync** with Single Editor mode\n* **Multiplayer editing** with conflict resolution\n* **Follow mode** like Figma\n* ... and so much more",
        "url": "https://www.ycombinator.com/launches/M4b-velt-tiptap-comments",
        "votes": 14,
        "created_at": "2024-10-17T22:07:51.992Z"
      },
      {
        "id": 84000,
        "title": "Embedded Recording SDK by Velt",
        "tagline": "Add AI powered Loom-style recording to your product!",
        "body": "We're excited to launch [**Embedded Recording in the Velt SDK**](https://velt.dev/recording). Build AI-powered Loom-style recording features (voice, video, and screen) **into your product** in minutes. It automatically generates summaries and transcriptions.\n\n![uploaded image](/media/?type=post&id=84000&key=user_uploads/195692/5f8d698a-2c7e-4d5e-bba5-4add9671cbee)\n\n# **Why this matters:**\n\nYour users are probably already using tools like Loom to communicate. That's time and data they could be spending in your product. Keep your users in your product with native communication features and boost engagement. It's a win for everyone.\n\n# **Products that benefit:**\n\n* Ticketing tools _(Jira, Linear)_\n* Project management tools _(Asana, ClickUp)_\n* Email marketing tools _(Apollo, Customer.io )_\n* Sales tools _(Salesforce, Hubspot)_\n* Development tools _(Github for code reviews)_\n\n# **How it works:**\n\nVelt is a JS SDK that handles everything—UI/UX, full functionality, backend server, and storage. No configuration is needed. You can fully customize it to fit your brand. It works with Next.js, React, Angular, and more.\n\n4 easy steps to get started (see [docs](https://docs.velt.dev/async-collaboration/recorder/setup)):\n\n1. Initialize Velt SDK\n2. Add the recorder components\n3. Customize\n4. That's it!\n\n# **Key Features:**\n\n* Native voice, video, and screen recording\n* AI transcriptions and summaries\n* Built-in recording and playback UI\n* Cross-browser and device compatibility\n* Fully customizable\n* Fully managed and scalable storage and backend",
        "url": "https://www.ycombinator.com/launches/Lqq-embedded-recording-sdk-by-velt",
        "votes": 10,
        "created_at": "2024-09-13T02:03:03.103Z"
      },
      {
        "id": 79688,
        "title": "Velt: Full-stack Comments SDK",
        "tagline": "Build powerful commenting features into your SaaS product crazy fast.",
        "body": "**TL;DR:** Build powerful commenting features into your SaaS product crazy fast. Make it just as collaborative as the big dogs—Google Docs, Sheets, Figma, Frame io... Keep your users collaborating in your app instead of Slack or Zoom. Watch your engagement soar.\n\n[**Demo Video**](https://www.youtube.com/watch?v=27tIG8jEAbc)\n\n![uploaded image](/media/?type=post&id=79688&key=user_uploads/195692/3b9b3bc9-6a81-4e98-82e8-abb2d917f9b5)\n\n### **🤔 Why?**\n\nYour customers want to have discussions within your product – feedback, questions, ideas. Since they can’t do it in your product, they move off-platform to slack, emails, zoom etc.. It's friction for your customers (and you'll watch their engagement drop.)\n\nLuckily, the solution is simple. Add a comment layer across your product. Let customers comment and discuss anywhere, without opening up Slack or Gmail.\\\n\\\nI know what you're thinking. \"How am I going to build that? That's months of engineering and product effort we haven't scoped in.\"\n\n### **✅ Solution**\n\nWe built a complete full-stack Comments feature components for any SaaS product. Embed it anywhere and enable experiences you see in your favorite products like Google Docs, Figma, Sheets and more.\n\nBackend, Frontend - all included.\n\n### **✅ Products that benefit from commenting**\n\n* _Video tools: Frame-by-frame feedback on videos_\n* Documentation tools: Inline comments for better edits\n* _Analytics / Data tools: Questions answered directly on charts and tables_\n* Design tools: Review design assets\n* Form builders, CRMs and so many more\n\n### **🚀 Key Features**\n\n* Commenting Styles: Google Sheets, Google Docs, Notion, Figma, [Frame.io](http://Frame.io), Charts, etc.\n* Loom-style audio, video, screen recording\n* Task management: Statuses, Priority, approval, @ mention\n* Intelligence: AI categorization, AI transcription\n* Customize layout, css & behavior\n* In-app notifications, email notifications, realtime Webhooks\n* Performant and Robust: Buttery smooth. Binds and adapts to changes in your DOM and data.\n\n### **🚀 Try here:** [**https://velt.dev/comments**](https://velt.dev/comments)",
        "url": "https://www.ycombinator.com/launches/KjI-velt-full-stack-comments-sdk",
        "votes": 8,
        "created_at": "2024-03-25T21:40:45.302Z"
      },
      {
        "id": 79200,
        "title": "Superflow: Frame by frame review on Lottie files",
        "tagline": "Get approvals with fewer rounds of reviews and ship more assets fast!",
        "body": "We fixed the mess of Lottie animation reviews. Frame-by-frame comments mean you ship more animations faster. [Here](https://drive.usesuperflow.com/lottie?id=YVUxTXhLUDByY2EyVVh3S2k4YmxfXzMzYmQzYjg3ZWM3ZjI2NTUxOTQxYjMyMjQ2ZjJhOTAxX19sb3R0aWU%3D&version=v1&_gl=1\\*59beb5\\*_gcl_au\\*MTc5OTQ4OTk4OS4xNzA3NzA3MTc4) is a live demo.\n\n![uploaded image](/media/?type=post&id=79200&key=user_uploads/195692/caa35638-b3e5-4704-9cf3-be7fc8e57db9)\n\nOur mission is to make every creator 10x. We believe creators build the future and your time is precious. Superflow makes you a 10x creator: create 10x more, create 10x better work, grow 10x.\n\n**🤔 Why are we building this?**\n\nWe built this because the old way sucked. Screenshots, endless emails, live meetings just to tweak an animation... that's not how things should work in 2024. So we fixed it!\n\n**✅ Solution**\n\nSuperflow lets creative teams review and provide frame-by-frame feedback on Lottie files.\n\nThis enables you to get approvals with fewer rounds of reviews so that you can get back to animating. With Superflow, you deliver more beautiful animations at light speed.\n\n**🚀 Key Features**\n\n* Pinpoint feedback on frames and individual elements.\n* Voice, Video + AI notes for when typing is too slow.\n* Built-in task management to streamline the process.\n* Works on all devices and browsers.\n* Integrates with your existing tools: Asana, ClickUp, Monday, Slack, you name it.\n* Built-in approval flow just like Docusign.\n* Share easily with a click and get notified when someone visits.\n\n[**Get started**](https://usesuperflow.com/lottie-files-review), it’s free.",
        "url": "https://www.ycombinator.com/launches/KbQ-superflow-frame-by-frame-review-on-lottie-files",
        "votes": 7,
        "created_at": "2024-03-08T03:28:50.378Z"
      },
      {
        "id": 66899,
        "title": "Superflow: Comment and collaborate directly on your product!",
        "tagline": "Comment and collaborate on your staging and prod websites.",
        "body": "![uploaded image](/media/?type=post&id=66899&key=user_uploads/195692/536286e1-bb3b-475f-a06a-b7a9d275aac7)\n\n_(_[_demo video)_](https://www.youtube.com/watch?v=cdnfBEw8TfI)\n\n[SuperFlow](https://usesuperflow.com/) makes it super easy to comment on live websites just like you comment on Figma. You can use is to get Copy or UI feedback right on the website you are building. Feedback can be provided in rich formats like audio and video. The best part is that you and your clients don’t need a browser extension.\n\nSuperFlow brings collaboration to wherever you are. Everything is just weaved into one cohesive experience. We have curated the best features of top products like Slack, Loom, Figma into one tool.\n\n### **👩🏼‍💻Who this is for**\n\nWeb agencies, freelancers, product or design teams.\n\n### **Key problems**\n\n* Scattered feedback across emails, slack etc.\n* Endless back and forth, screenshots, unnecessary meetings etc.\n* Clients have to install & learn new tools.\n\n### **📝 Use cases**\n\n* Get copy or UI feedback from clients.\n* Assign tasks to internal team members.\n\n### **💵 Value**\n\n* Reduce website review cycles and ship faster.\n\n### **🙏 Our ask**\n\n* Try our product [**usesuperflow.com**](http://usesuperflow.com) before 31st oct and get 40% off for a year.\n* Share this post with web agencies or freelancers you know build websites.\n\n### **Setup**\n\n**Step 1: Install JS tag on client website in 10 secs.**\n\nYou can just install a JS tag in the footer of the website. \n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-XGbnRxc0Ty/6140d41636b973449d24659aeacab52fd67900c5654c7c113ffc4ad3bf5306eeed19b1162a8b3ccde2cfa635c642722135a4d4a2a87642b35d5f4ec7b6325a88fecd86969d39bd8043dde97a4cf4f9c00515efb075c175855fcb3da704047bd6edbd9efc)\n\n**Step 2: Turn on review mode by adding ?review=true to the URL.**\n\nYou can then turn the review mode on or off on demand by adding **“?review=true”** to the URL. The comments will not be visible to a regular website visitor.\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-WB9sVT7ZmM/5570471db96e4ea68d9d74f0835939d91e707a467094fd00c51b9eb97542df4a9a84996faeccd683f74aab60fda711f099cf8e9568c42c86c9dd28eef6ef1b80a1ac503d3fb04104fa11b10b749058363a6b3ad58d51f58a20f1483ca8f276fe07d44cfc)\n\n### **🔥 Top features**\n\n**1. Comment on live website, just like Figma:**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-NDI5rEj4Ae/8c9caf47c3a53155af4d62231f4d767096816c6d91ba0306fce57e04b642ecb3e5bd70514556c11fb51189d028ea5cb34356c5a0eeff686a40289176667f86af011dd92122307ac44176b1b46c7d7c449652d008714c34e435bc8b41f9fa0bb810973eb3)\n\n**2. Record your screen & camera just like Loom (& attach it to a DOM element).**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-JCblThJt6X/57029764bf3d09a31f0a0d1bcaadfac8a927f26b8a63a34ab1236ca4490454ad7c70a081861e6e4b277d5e920e409af0c7a18a6db1be2ac823ba50e3cfc9a5a957bf8ae09430389015c9c72d969ff467cbc01a75320a63735e073d370371dc2d59dc52e9)\n\n**3. Manage tasks across projects in one place.**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-eFWGPbIP0M/2e74eaed9a5b399778c9521b9c65a0682fdd12c879322c8dcf4a8ce5e403f5a9b53516680ed1f4b1ad3655c55820b95a233b0a9e074aa9c8fcd4b56fa355607e6648216389a985f7a0a240dd0a55840bbb78b2225e2fea42c0970ace85763b76f8785c7e)\n\n**4. Start live audio/video huddle or screensharing just like Slack.**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-XBrG5e-yJd/fa5e98c2123e926dd9f3199da059dbc03e0dfd31c1f25ffdfa582150df6b53b92847bd8a7c005cfdba9c1cdbf0b375e0a757e59679d39f62c465c6a3f0b4936077e41ba5155058db8dae976623f327f1f68288483a1eef47751f1d252e09fb9712d85c8c)\n\n**5. Personalized Slack & email notifications.**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-OkDBML4l8F/f1bb3bd394f220a23f2e7b454de8ec767c322dac395eddbffdcf0beece7775d08797d40c89282e889abb5e5915b492b8db98cb12a1847492859dfc18bafa94fd06df75266314f7e71aa5b7a8bcc122e919cbc5f5280aceb9b31c90e13f32a269da77cef5)\n\n**6. Add internal comments for team & external ones for clients.**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-ECwdHMSTuh/81021b5d9a38077d7650507ff098d256af6cee5751f22b1c0da8f08b027eb0ef49ba9545316ee9b4ed4d70c17f7e0f98c41d78a7524437b660e213ba2f623b0e01834ef467c04069952f603cc48837e657130abd66a548c3e92ba6a5812574862ec11e5e)\n\n",
        "url": "https://www.ycombinator.com/launches/HP1-superflow-comment-and-collaborate-directly-on-your-product",
        "votes": 14,
        "created_at": "2022-10-25T03:03:03.856Z"
      }
    ]
  },
  {
    "id": 25672,
    "name": "Cogram",
    "slug": "cogram",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e67ec6dcc40ad110095fd4caf4f77334ee70a01.png",
    "website": "https://cogram.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "The software architects and engineers rely on is decades old, hard to use, and built for a pre-AI world. Since 2021, Cogram is building the alternative: AI-native tools that leading firms use to deliver projects.",
    "one_liner": "The AI Platform for Architects and Engineers",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1641830467,
    "tags": [
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/cogram",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/cogram.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
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        "title": "SpadeWorks: AI agents for trade businesses",
        "tagline": "AI agents that turn every call into revenue for trade businesses",
        "body": "Hi All,\n\nI’m excited to share [Spadeworks](http://www.spadeworks.co) with you all\n\n## Problem\n\nTrade contractors lose 40% of potential revenue because they can't answer calls while working on jobs. Every missed call is a missed customer - whether it's an emergency plumbing call at 9pm or a pest control inquiry during a busy day. Traditional solutions like call centers are expensive and don't understand trade-specific needs like emergency vs routine calls, seasonal pricing, or multi-visit treatment protocols.\n\n## Insight\n\nTrade contractors have predictable, repeatable customer interactions that follow industry-specific patterns. A pest control call about wasps needs immediate scheduling, while routine maintenance can wait. HVAC emergencies have different urgency than annual tune-ups. These conversations follow scripts that can be automated, but only if the AI understands trades terminology, pricing structures, and seasonal patterns.\n\n## Solution\n\nSpadeworks provides AI agents specifically trained for trade industries. Our AI answers calls, triages by urgency (emergency vs routine), schedules appointments based on technician availability and geographic routes, generates quotes using the contractor's pricing, sends SMS reminders, and handles follow-ups. When complex issues arise, it seamlessly transfers to humans with full context. The AI integrates with existing CRM and scheduling systems.",
        "url": "https://www.ycombinator.com/launches/INR-spadeworks-ai-agents-for-trade-businesses",
        "votes": 12,
        "created_at": "2023-03-30T14:10:40.572Z"
      }
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    "id": 25690,
    "name": "Requestly",
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    "website": "https://requestly.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Requestly helps developers build faster by intercepting, mocking, and testing API responses. No more waiting for backend developers, struggling with flaky staging environments, or fighting over API contracts. With 200,000+ active installs, Requestly is trusted by Google, Amazon, Workday, Indeed, and many other Fortune 500 companies.",
    "one_liner": "Open-Source Postman alternative",
    "team_size": 19,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1639034757,
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      "API"
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    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Acquired",
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        "answer": "Developer Tool for APIs debugging & testing"
      },
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        "question": "How long have each of you been working on this? How much of that has been full-time? Please explain.",
        "answer": "I started Requestly as a side project along with my full-time job where I got to know about the use case, discovered the problem space and market size. Now, Both of us are working on this full-time."
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    "url": "https://www.ycombinator.com/companies/requestly",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/requestly.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/requestly/",
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    "github_url": "https://github.com/requestly",
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        "full_name": "Sachin Jain",
        "title": "Founder",
        "founder_bio": "Sachin is the co-founder & CEO, Requestly. Sachin plays a leading role in defining the vision of the company, the product direction, talking to existing & potential customers. He has over 10 years of industry experience and has worked with Google, Adobe & Grofers in the past. He built many side projects & participated in many hackathons. Requestly was also started as a side-project on which he worked tirelessly for the sake of love of the product eventually making it into it full-time.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sachin-jain-20b20731/t",
        "x_url": "https://twitter.com/sachinjain024",
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      {
        "user_id": 786110,
        "full_name": "Sagar Soni",
        "title": "Founder",
        "founder_bio": "Co-Founder, CTO @ Requestly",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mesagarsoni/",
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        "title": "Requestly joins BrowserStack to build the future of application testing",
        "url": "https://requestly.com/blog/requestly-joins-browserstack-building-the-future-of-testing-together/",
        "date": "May 06, 2025"
      },
      {
        "title": "Meet The 7 Indian Startups That Are Part Of Sequoia Surge’s Eight Cohort",
        "url": "https://inc42.com/buzz/sequoia-surges-eighth-cohort-packs-9-indian-startups-out-of-12/",
        "date": "Mar 01, 2023"
      },
      {
        "title": " Sequoia’s Surge selects 12 startups for its eighth cohort",
        "url": "https://entrackr.com/2023/03/sequoias-surge-selects-12-startups-for-its-eighth-cohort/",
        "date": "Feb 28, 2023"
      },
      {
        "title": "AWS Nexus DevOps Innovation Day: Diving into the latest developments in DevOps\n | YourStory",
        "url": "https://yourstory.com/2022/06/aws-nexus-devops-innovation-day-diving-towards-latest-developments-in-devops",
        "date": "Jun 10, 2022"
      },
      {
        "title": "Meet the Indian startups in Y Combinator’s Winter 2022 cohort | YourStory",
        "url": "https://yourstory.com/2022/03/indian-startups-y-combinator-winter2022-cohort",
        "date": "Mar 21, 2022"
      }
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    "launches": [
      {
        "id": 85821,
        "title": "Requestly - Open-Source API Mocking & Testing Tool for Developers 🚀",
        "tagline": "A better alternative to Postman & Charles Proxy",
        "body": "Hey founders! Sachin here.\n\nWhat I started with a simple Chrome extension to solve one simple use case has evolved into a complete API Testing & Mocking platform - now used by more than half of Fortune 500 companies.\n\n**TL;DR:** Requestly helps developers build faster by intercepting, mocking, and testing API responses. No more waiting for backend developers, struggling with flaky staging environments, or fighting over API contracts. With 200,000+ active installs, Requestly is trusted by Google, Amazon, Workday, Indeed, and many other Fortune 500 companies.\n\n[Demo Video](https://www.youtube.com/watch?v=w5lCzZRmnZ0):\n\n**The Problem**\n\nFrontend developers face two common problems during their local development: Dependency on backend developers (i.e. Waiting for APIs) and Unstable backend services.\n\nWhether it's:\n\n* The backend team still building the endpoint\n* API not returning the data required for the development\n* Flaky Staging/Backend servers being used for local development\n* Need to modify API responses for testing error paths in frontend codebase\n\nThis leads to delayed releases, blocked sprints, and frustrated developer experience.\n\n**Enter Requestly**\n\nRequestly lets you intercept, mock, and test API responses in browsers and mobile apps.\n\nCore Features:\n\n* **Mocking API Responses:** Instantly mock any API response without touching the backend or your frontend code.\n* **Testing API Responses:** Quickly Test API responses with a sweet, simple API client.\n* **Mocking a Complete Flow:** You can either create API mocks for selective requests or record a user flow and create mocks for the entire flow.\n* **Collaboration using Team Workspace:** Save and reuse common API mocks across your teams with collaboration enabled in real-time.\n\n**Why people love it**\n\n**Frontend Teams:** Build features without waiting for backend APIs or dealing with staging server issues.\n\n**QA Teams:** Test edge cases in APIs and UI for error scenarios easily\n\n**Backend Teams:** Build, Design, Test and Collaboration on APIs\n\n**Enterprise Ready:** Used by over half of Fortune 500 companies including Google, Workday, Indeed, CapitalOne, MasterCard, and AutoDesk\n\n**Other Common Use-Cases**\n\n**1. Overriding JS Bundles** While talking to the enterprise users, we discovered that Overriding JS bundles from production to local/staging environments is one of the major use cases. They do this to test their local code changes directly on the production website by overriding the JS assets.\n\n**2. API Testing** We ended up building a sweet, simple API client for our customers for basic API testing, and now this has become a core feature of our product. We already offer capabilities like Collections, Environments, Workspaces, and Collaboration.\n\n**Testimonial**\n\n\"Requestly is an incredibly useful tool for developers working on a large team with multiple staging envs, or numerous app endpoints for various APIs in a local environment. Requestly combines all the power of complicated tools like Charles Proxy and Postman. I highly recommend giving it a try if you haven't already–it will make your dev work so much easier.\"\n\n— Joél, Senior Software Engineer at Autodesk\n\n**What we are planning next**\n\n* Building better API mocking capabilities for Android/iOS devices & simulators. We have already migrated some companies from Charles Proxy & Postman to Requestly and it has worked well.\n* Building more API testing features like Collection Runners, Scripting, and API test cases.\n* Learn how to market well. So far all of our growth has been organic. We did try some activities in the past but we weren't consistent.\n* Improve our customer success. We have a lot of free and paying users but we currently do not have any process to stay in touch with them and keep collecting their feedback.\n\n**🙏 Our Ask**\n\n* Try us out. Please get started by installing our Chrome Extension: <https://chromewebstore.google.com/detail/requestly-intercept-modif/mdnleldcmiljblolnjhpnblkcekpdkpa>\n* If you know Requestly could be useful to someone you know, please spread the word :)\n\n🎁 **Special YC Deal:** 6 months free for your entire team on our Professional plan.\n\nDrop me a line at [sachin@requestly.io](mailto:sachin@requestly.io) or book a demo: [https://app.cal.com/sachin-rq/30min.](https://app.cal.com/sachin-rq/30min)\n\nSachin\n\n![uploaded image](/media/?type=post&id=85821&key=user_uploads/89898/ae74d725-a8fc-4db5-8077-77b6b511488d)\n\n",
        "url": "https://www.ycombinator.com/launches/MKD-requestly-open-source-api-mocking-testing-tool-for-developers",
        "votes": 28,
        "created_at": "2024-11-25T07:44:19.492Z"
      }
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    "id": 25691,
    "name": "voize",
    "slug": "voize",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/437f8a6e2847546f303d55acd48f2ca6050b4e54.png",
    "website": "https://voize.de/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to admin work that pulls nurses away from what matters most: people. \r\n\r\nWe’re changing that by building the AI companion that frees nurses from admin, giving them back up to 30% of time. We don’t replace humans - we support and amplify their impact. Today, 1,500+ care facilities trust voize, and over 100,000 nurses rely on our AI companion** to ease their daily workload.\r\n\r\nOur mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs.",
    "one_liner": "We build the AI companion for nurses, to create time for care.",
    "team_size": 140,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1648233375,
    "tags": [
      "Machine Learning",
      "Speech Recognition",
      "Healthcare",
      "NLP"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "Germany",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "When our grandfather went into a nursing home, we saw with our own eyes how time-consuming nursing documentation is. It eats up time that could be put to much better use in care.\\\\We set ourselves the goal to change this and to create valuable time for the interpersonal. In close cooperation with our users, we have designed and developed the speech input for nursing documentation."
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    "url": "https://www.ycombinator.com/companies/voize",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/voize.json",
    "year_founded": 2020,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/voize-de/",
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    "fb_url": null,
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    "github_url": "https://github.com/voize-gmbh",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 313613,
        "full_name": "Fabio Schmidberger",
        "title": "Founder",
        "founder_bio": "CEO @ voize\nstudied Software Engineering at the University of Stuttgart and Entrepreneurship at San Jose State University\n\nI love road/gravel cycling, sailing, and running.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/fabioschmidberger/",
        "x_url": "",
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        "full_name": "Marcel Schmidberger",
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        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marcel-schmidberger/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b75dae516dc86523f262b4565b609ea1f7b0193e.jpg"
      },
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        "full_name": "Erik Ziegler",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/erksch",
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        "url": "https://www.axios.com/pro/health-tech-deals/2025/11/17/voize-50m-ai-nurse-scribing-ambient",
        "date": "Nov 17, 2025"
      },
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        "url": "https://tech.eu/2025/03/31/voize-raises-9m-to-streamline-healthcare-admin-with-ai/",
        "date": "Mar 31, 2025"
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    "id": 25692,
    "name": "Livedocs",
    "slug": "livedocs",
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    "website": "https://livedocs.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Mix Python, SQL, charts, and dynamic text in a fast, shareable, collaborative medium. Build and share data-rich docs and apps your team will love",
    "one_liner": "A New Kind of Notebook for Data Storytelling",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1645977565,
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Inactive",
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    "url": "https://www.ycombinator.com/companies/livedocs",
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        "full_name": "Arsalan Bashir",
        "title": "Founder",
        "founder_bio": "Founder of Livedocs (https://livedocs.com), engineer, love software, guerilla marketing (for the web), hiking, and Liverpool FC. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/arslnb",
        "x_url": "https://twitter.com/arsalanbashir",
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      {
        "id": 79581,
        "title": "Timefinder - The simplest way to send calendar invites across timezones",
        "tagline": "Just enter your timezones and find a time that works for everyone!",
        "body": "Check out [TimeFinder](https://timefinder.xyz) by team [Livedocs!](https://livedocs.com)\n\n![uploaded image](/media/?type=post&id=79581&key=user_uploads/95547/f52c44e1-e980-4913-84bb-df52e66403fd)\n\nBeing a remote team means we'd often send a calendar invite where somebody was dialing in in the wee hours of the morning or late at night. Timezones are complex! It's so easy to accidentally send a calendar invite for an awkward time.\n\n![uploaded image](/media/?type=post&id=79581&key=user_uploads/95547/3e95ebc2-b1e3-4009-bae2-61eb734c597a)\n\nDriven by our own experiences as a remote team at Livedocs (🇺🇸🇦🇪🇮🇳🇷🇴🇨🇦🇺🇦) and the desire to solve this universal problem, we crafted a simple yet powerful utility. Designed to streamline the scheduling process, our tool effortlessly finds a time that accommodates everyone, saving you from the headache and the hassle.\n\n![uploaded image](/media/?type=post&id=79581&key=user_uploads/95547/3ecb02b8-c38b-4c52-8913-420c19d254b6)\n\nNo sign up needed, just enter your timezones and find a time that works for everyone!",
        "url": "https://www.ycombinator.com/launches/KhZ-timefinder-the-simplest-way-to-send-calendar-invites-across-timezones",
        "votes": 9,
        "created_at": "2024-03-21T18:49:38.144Z"
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    "id": 25696,
    "name": "Agency",
    "slug": "agency",
    "former_names": [
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    "website": "https://GetAgency.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Agency replaces traditional security and compliance headcount with AI without replacing your existing tools.\r\n\r\nOur platform is operated by forward-deployed engineers who run your entire security and compliance program including full virtual CISO coverage on your behalf. All powered by our proprietary AI agents.\r\n\r\nAgency is a vertically integrated AI platform and services company that enables organizations to achieve and maintain SOC 2, ISO 27001, CMMC 2.0, HIPAA, GDPR, FedRAMP, HITRUST, ISO 42001, and more without building internal teams. We integrate with leading GRC platforms like Vanta and Drata and security tools like CrowdStrike.\r\n\r\nAt its core is our proprietary cybersecurity and GRC orchestration layer powering a suite of AI systems that execute end-to-end security and compliance operations: control implementation, evidence collection, monitoring, vendor risk, penetration testing, and audit coordination — across complex environments like BYODs, contractor fleets, and multi-party systems. Things that GRC automation platforms can't do.\r\n\r\nWe deliver this through two distinctly separate products:\r\n\r\nAgency Comply — forward-deployed engineers who operate the platform, implement controls, run compliance programs, and manage security end-to-end\r\n\r\nAuditsuisse Assurance — our US and Swiss licensed CPA firm, powered by Auditsuisse AI, delivering independent SOC and global audits with speed and rigor. (Auditsuisse does not audit Agency Comply customers).\r\n\r\nAgency serves startups through enterprises building in high-stakes environments — AI, defense, aerospace, fintech, and healthcare — replacing fragmented tools and large internal teams with a single AI-driven system of execution.",
    "one_liner": "Agency replaces traditional security and compliance headcount with AI.",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1641532353,
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      "Enterprise"
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    "isHiring": true,
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/agency",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/agency.json",
    "year_founded": 2020,
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    "all_locations": "London, England, United Kingdom; LA, Nigeria; Remote",
    "long_description": "We are building Convoy for engineering teams that value efficiency, especially during this bear market. \r\n\r\nYou might already know about API Gateways. Convoy is exactly that for webhooks.\r\n\r\nEngineering teams today use Convoy to securely send, receive and manage millions of webhooks reliably with robust support for retries, rate limiting, static IPs, circuit breaking, rolling secrets and more.\r\n\r\nWe know both receiving and sending webhooks can become a lot of work to manage, we have built a product to enable engineers to build and ship highly scalable stripe-like webhooks infrastructure.",
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        "id": 72597,
        "title": "Nohooks: Webhooks for platforms without webhooks",
        "tagline": "Receive real-time notifications of events from supported apps like Notion, Render and Digital Ocean. Powered by Convoy.",
        "body": "![uploaded image](/media/?type=post&id=72597&key=user_uploads/357104/239f25e6-9726-4a95-8100-b4e04df0405e)\n\nToday, we are excited to share our new tool: [nohooks.io](http://nohooks.io). Nohooks is a service that offers webhooks functionality even on platforms that do not have native webhooks support. With Nohooks, developers can receive real-time notifications of events from the list of supported apps ([DigitalOcean](https://www.digitalocean.com/), [Notion](https://notion.so/) and [Render](https://render.com/) as of this [launch](https://getconvoy.io/blog/convoy-launch-week)).\n\n![uploaded image](/media/?type=post&id=72597&key=user_uploads/357104/c9767c6b-6fce-42dc-93d5-39b8bfdd658f)\n\nWebhooks are a way for one application to notify another application when a specific event happens. By setting up a webhook, developers can receive real-time updates whenever a user takes a specific action, such as deploying a new service or adding a new contact to your CRM. However, not all platforms support webhooks, which can be a problem for developers who need to receive real-time updates.\n\nNohooks solves this problem by acting as an intelligent polling system, that retrieves resources from the public API of these apps, determines whether there was an update and generates a webhook event depending on the type of update. It uses [Convoy](https://getconvoy.io/) to power its webhooks delivery and debugging dashboard.\n\n![uploaded image](/media/?type=post&id=72597&key=user_uploads/357104/fab69289-51b5-4756-9536-5341f7139c15)\n\nWith Nohooks, you can link multiple Render accounts and Notion workspaces and multiple destination endpoints as well. To get started, create an account here, and watch this demo video to learn how to set up your account to receive events.\n\n### **Use Cases**\n\n1. With Render webhook events, you can hook into the lifecycle of your services and service deployments to perform post-deployment actions, trigger continuous delivery pipelines etc.\n2. With Notion webhook events, you can sync any Notion Database to Airtable, Mailchimp, Intercom, or any CRM you choose. You can sync Notion Events to anything like Zapier or [Trigger.dev](http://Trigger.dev) for any kind of automation you desire.\n3. With DigitalOcean webhook events, you can into the lifecycle of your droplets to carry out post-deployment automation similar to Render. We plan to support many more resources in DigitalOcean in subsequent releases.\n\nThat’s it, friends, go and automate. We can’t wait to see what you build with this!\n\nIf you need any help or want to see us support new services, you can email us at [support@nohooks.io](mailto:support@nohooks.io) or join our [Slack Community](https://join.slack.com/t/convoy-community/shared_invite/zt-xiuuoj0m-yPp\\~ylfYMCV9s038QL0IUQ) to ask questions.",
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        "title": "Convoy: Open Source Webhooks Proxy",
        "tagline": "Convoy is an open-source webhooks proxy that enables you to receive and publish webhook events reliably.",
        "body": "**TL;DR: Convoy provides a reliable webhooks proxy that can ingest webhooks from all your providers and replay them to your backend as well as publish webhook events from your systems to your customers.**\n\nHey YC 👋🏾\n\nI am Subomi, and I am building [Convoy](https://getconvoy.io) alongside Emmanuel.\n\n**The Problem**\\\nToday, webhooks power critical business workflows that, if broken, will have a direct impact on customers’ experience. Usually, developers spend time building reliable webhook ingestion services and reliable webhook dispatching services for API providers. This time is wasted effort that can be spent building necessary infrastructure instead of building your product. Secondly, the tooling becomes fragmented for dispatching and receiving webhook events. We are working on Convoy to solve precisely this using a consistent toolchain to receive, publish and debug webhook events.\n\n**Our Solution**\\\nEnter Convoy, a service available as an open-source project and a cloud platform. There are two types of projects in Convoy; an incoming project and an outgoing project. In an incoming project, we provide a unique URL per provider to receive events, and in an outgoing project, we provide a REST API to receive events from your services and publish them to the outside world.\n\n**How it works?**\n\nYou can see a demo [here](https://www.youtube.com/watch?v=DSIet81oBsg).\n\n**Asks**\n\n1. If you’re building an API that sends out webhooks and/or a service that relies on webhooks from third-party providers, you can get started for free by either [self-hosting](https://getconvoy.io/docs/deploy/overview) or using our [cloud platform](https://dashboard.getconvoy.io/signup).\n2. If you have vast experience running webhooks infrastructure (either incoming or outgoing), please join us on [slack](https://convoy-community.slack.com/join/shared_invite/zt-xiuuoj0m-yPp\\~ylfYMCV9s038QL0IUQ#/shared-invite/email). We’d love to learn from you!\n3. If you have further questions and would love to learn more, you can book a meeting with the [founders.](https://calendly.com/subomioluwalana/30-minute-meeting)\n\nThank you!",
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        "title": "Top Seed Companies: Candor, Astro, Improovy, Lovage Labs | by Nicolas von Blottnitz | Headline Asia Publication | Jul, 2022 | Medium",
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        "title": "Lovage Labs accepted into Y Combinator - Utah Business",
        "url": "https://www.utahbusiness.com/lovage-labs-accepted-into-y-combinator/",
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    "all_locations": "Bengaluru, KA, India; Remote",
    "long_description": "Blitzllama makes it easy for product development teams to rapidly collect user feedback at scale. With only a simple SDK integration, teams can ask questions to their users within product journeys and get highly contextual answers in minutes. This empowers product teams to ship products that address users' real problems that increase user retention, engagement and reduce churn.",
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    "all_locations": "San Francisco, CA, USA; Seattle, WA, USA; Remote",
    "long_description": "Demo Gorilla is a browser extension for live SaaS demos that tells your sales team exactly what to say to sell your product.\r\n\r\nKeep everyone on the same page with the best customer stores, competitive talking points and feature explanations. Collect insights across product, engineering, marketing, and sales experts to ensure your sales team always knows exactly what will close this deal.\r\n\r\n- Automatically get relevant talking points for the part of the product you're on and who you're talking to\r\n- Track notes and metrics back in to your CRM\r\n- Share slides and images in line while demoing to set the stage\r\n- Clean up your UI to keep attendees focused\r\n",
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    "subindustry": "B2B -> Sales",
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        "full_name": "Manu Zope",
        "title": "Founder",
        "founder_bio": "2014 Graduated from the University of Waterloo in Computer Engineering\n\n2014-2019 Software Engineer at PagerDuty (YC S10), building highly available systems, permissions systems and integrations.\n\n2019-2022 Engineering Manager at Sentry.io. Built out the Integrations and API function.",
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        "id": 64646,
        "title": "Demo Gorilla: Turn every demo into a sale",
        "tagline": "Presenter notes for live SaaS demos so your team always knows what to say to close a prospect",
        "body": "### Great demos sell your product\n\nGreat demos are magical, and yet we’ve all sat through mediocre sales demos that barely explain how the product works, forget the value props and go wildly off script – and that’s before you even try to ask a question!\n\nNever again lose a SaaS deal because of a bad demo with [Demo Gorilla](https://demogorilla.com/?yclaunches).\n\n![uploaded image](/media/?type=post&id=64646&key=user_uploads/26230/a1d9bf4b-85aa-40e4-9159-4715eda27e21)\n\nWhile you share one window with your prospects, you get a dynamic cheat sheet in another!\n\n## What it does:\n\n[Demo Gorilla](https://demogorilla.com/?yclaunches) is a browser extension that turns every member of your team into a brilliant demo-er.\n\nAs your team gives a demo, we automatically show the relevant talking points for **this specific prospect** and **this specfic feature** so your team is always selling the best value during their conversations.\n\nWe also:\n\n* **Track what features are really demoed** so your product team knows what’s really happening in the field. Faster feedback means more efficient dev cycles.\n* **Timestamp all actions** so you don’t need to watch the whole recording to revisit that aha moment.  Nobody wants to rewatch their entire sales call.\n* **Inject collateral straight into demos** so you can show a single slide while you show the feature to keep the conversation on topic.  Nobody can remember the 30 slides you showed at the start of the call. Also works with videos & webpages if you’re fancy.\n* **Sync with your Google calendar** so you don’t have to manually time check yourself. And you don’t forget who’s in the call!\n* **Customized talk track per persona** so you’re talking about the value that matters to this customer against their current tool. Give them the data that’s relevant to them.\n* Easily **give feedback for sales enablement** so the content stays applicable. Helps your enablement team help closers close.\n* **Search talking points inline** so you never get stumped by a question. Now you don’t need to book a second meeting, you can close them today.\n\nAnd it does all that seamlessly from whatever account you use to demo: a sandbox, a rep’s account or even the customer’s own data.\n\n## Who it’s for:\n\nTeams selling a SaaS tool, especially ones with great products facing the following challenges:\n\n* Onboarding new account executives and sales engineers faster\n* Founders looking to hand off sales to someone who hasn’t been living the product for years\n* Struggling to hire enough sales engineers to support your AEs\n* CSMs struggling to get renewals excited about expanding or upselling because they can’t show what’s new\n\n## We’d love to hear from you!\n\nDrop us a line at [hi@demogorilla.com](mailto:hi@demogorilla.com) and we’ll get you up and running better demos today!\n\n![Screenshot of talking points](https://demogorilla.com/images/screens/screenshot-talking-points.png)\n\n",
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        "full_name": "Siamak Freydoonnejad",
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        "founder_bio": "Cofounder of Sprites - a proactive agent that achieves growth goals for businesses fully autonomously. Today, Sprites manages $30M of annualized growth spend for 50+ businesses in a self-improving loop. Sprites has grown 5x this quarter with customers including Gameloft, Klarity Health, Hyperice, and leading AI labs.",
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    "name": "SmartHelio",
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    "website": "https://www.smarthelio.com/",
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    "industry": "B2B",
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        "full_name": "Govinda Upadhyay",
        "title": "Founder",
        "founder_bio": "Husband | Father | Sustainability | Climate change warrior| \n\nI am is a serial entrepreneur and work in climate domain. I want to accelerate the adoption of clean tech in our society. I have a background in Physics, Smart electrical system and climate change. I studied in Sweden, Netherlands, Switzerland and  India. I am an Indian, married to a Swiss/Japanese and live in Switzerland. I like food and travel. I became father recently. I want my child to live in a better world than mine. ",
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        "linkedin_url": "https://www.linkedin.com/in/govindaupadhyay/",
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        "full_name": "Neeraj Dasila",
        "title": "Founder",
        "founder_bio": "Born and bred in a remote Himalayan hamlet, I learned early on how tech or even the smallest innovation can help improve the quality of life of people. With this vision, I studied Electrical Engineering at IIT Bombay and later worked on Connected Vehicles & Electric Mobility as a product manager at TATA. Then, I moved to the Govt. of India to work on sustainable energy transitions. Today, my aim is to build affordable & scalable solutions for all to tackle climate change.",
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        "linkedin_url": "https://www.linkedin.com/in/neerajkumardasila",
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        "url": "https://techcrunch.com/2022/12/14/smarthelio-predictive-maintenance/",
        "date": "Dec 14, 2022"
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      {
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        "url": "https://www.pv-magazine-india.com/press-releases/smarthelio-bags-b-corporation-certification/",
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    "website": "https://hydra.so",
    "all_locations": "San Francisco, CA, USA; Remote",
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        "full_name": "Joseph Sciarrino",
        "title": "Founder",
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      {
        "title": "Microsoft backs open source PostgreSQL analytics extension • The Register",
        "url": "https://www.theregister.com/2024/08/20/postgresql_duckdb_extension/",
        "date": "Aug 20, 2024"
      },
      {
        "title": "Hydra aims to be the open cloud data warehouse alternative to Snowflake – TechCrunch",
        "url": "https://techcrunch.com/2022/07/01/hydra-aims-to-be-the-open-cloud-data-warehouse-alternative-to-snowflake/",
        "date": "Jul 01, 2022"
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        "id": 88443,
        "title": "Hydra: Serverless Realtime Analytics on Postgres",
        "tagline": "Unlock realtime analytics on live data in seconds",
        "body": "![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/fc2a33f3-1607-4213-bee9-7fb9693b0f5f)\n\n**Hydra is Serverless Realtime Analytics on Postgres.**\n\nBy separating compute from storage, Hydra enables compute-isolated analytics and bottomless storage. It is designed for low latency applications built on time series and event data.\n\n# [**Try Now! (free)**](https://start.hydra.so/get-started)\n\n<https://youtu.be/mib8ehnMmC8>\n\n# **Enable in seconds**\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/42f17c01-89e7-47ae-ba01-f76bc23c864e)\n\nSet up is simple. To unlock serverless realtime analytics on Postgres, run:\n\n```\npip install hydra-cli\n```\n\nFor setup\n\n```\nhydra\n```\n\n1. fetch your hydra token, paste in to enable Hydra\n2. create analytics schema / tables and insert data ([**quickstart docs**](https://docs.hydra.so/intro/quickstart))\n3. _voila_ - run queries, get insights in milliseconds\n\n# **Problem**\n\nFor decades, there’ve been two core problems with analytics on Postgres:\n\n**Slow** - aggregates and complex queries can take minutes to return results from large data sets.\n\n**Resource Contention** - Expensive analytics queries hog Postgres’ RAM / CPU resources and impair transactional performance. In other words, the entire app slows down, which makes users unhappy.\n\n# **Solution**\n\n### **Fast**\n\nHydra returns analytics queries 400X faster than standard Postgres. Hydra uses duckdb to perform isolated serverless processing on these tables in Postgres. In fact, Hydra is faster than most specialized analytics databases.\n\nIf you’re running AWS RDS, AWS Aurora, Heroku Postgres, Supabase, Fly Postgres, Render Postgres, GCP Cloud SQL, etc.. you can improve expensive analytics queries by 400X by using Hydra.\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/3fb7dc1e-622a-4303-ba7a-f729f18ab019)\n\nfun fact: the Snowflake instance (128x4XL) in the benchmark is $100k / month.\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/5db5d184-2a69-4811-b14e-5ad433f4038c)\n\nThese are results from clickbench which represents a typical workload in the following areas: clickstream and traffic analysis, web analytics, machine-generated data, structured logs, and events data. The table consists of exactly 99 997 497 records — rather small by modern standards but allows tests to be performed in a reasonable time.\n\n### **Isolated, serverless processing**\n\nUsing Hydra there is no impact on Postgres’ RAM / CPU resources when reading from or writing to an analytics tables.\n\nAs a result, here are more cool things Hydra can do: zero-copy clones for scaling read replicas, automatic caching, write isolation, bottomless storage with high data compression, and more.\n\n# **How it works**\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/8d8999aa-a370-4f0f-9d99-badfe4621c97)\n\nHydra integrates duckdb execution and features with Postgres using [**pg_duckdb**](https://github.com/duckdb/pg_duckdb), an open-source project we co-developed with the creators of DuckDB.\n\n**FAQ:**\n\nyes, you can join between an analytic table and a standard row-based table.\n\nyes, you can write (insert & update) to analytics tables.\n\nyes, Hydra is identical to using standard postgres.\n\nyes, data inserted into an analytics table is automatically converted into analytics-optimized columnar format.\n\ntell Hydra you are creating an analytics table by including the ‘using duckdb’ keyword - that’s it.\n\n# **Hydra is best for**\n\nHydra is both a row and columnstore, so you can use it for standard Postgres work, like multitenant apps, as well as analytical work, like monthly reporting. Here are several cool Hydra use cases that blend both transactional & analytics — more in our [**use case docs**](https://docs.hydra.so/guides/usecase).\n\n* time series, logs, events, traces\n* monitoring & telemetry\n* financial services\n* observability & metrics\n* cybersecurity & fraud detection\n* web & product analytics\n* iot\n* realtime ml / ai\n\n# **ok, but why use postgres instead of … \\[insert favorite tech\\]?**\n\nIt’s true, there are many specialized analytics databases. reviewing the benchmark above, the majority of analytics databases are actually _slower_ than Hydra. Regardless, isolated analytics databases produce their own set of challenges and costs.\n\n### **data pipelines (etl)**\n\nTraditionally, an analytics database is isolated, and in most cases, engineers must set up data pipelines for data movement and transformation between Postgres, S3, and the analytics db. Pipelines aren’t cheap. Also, there’s pipeline latency bottlenecking how stale the analytics are. And when pipelines break — because they do — you’re stuck with downtime and wrong results.\n\nHydra side-steps the latency and costs of data pipelines entirely with full support for inserts and updates on columnar files in analytics tables.\n\n### **overweight design**\n\nMany use cases don’t justify a heavy setup. From our time working at Heroku, we saw many transactional apps that only need a couple high level aggregates and a few complex analytical queries to return quickly. Hardly OLAP (online analytical processing) and not really HTAP (hybrid transactional and analytical processing) - just apps in need of a speed boost.\n\nThe most heavyweight option, data warehouses like BigQuery, are good at “big queries”, but not great at smaller, rapid analytics queries that’re more common with applications, rather than monthly reporting.\n\nThese traditional approaches are too heavy, can be brittle, and introduce extra costs and latency your startup doesn’t need.\n\n# **do we have a hosted cloud offering?**\n\nYes, and [it’s awesome](https://start.hydra.so/get-started).\n\n# [**Try now!**](https://start.hydra.so/get-started)\n\n## **useful links**\n\n[**website**](https://www.hydra.so/), [**docs**](https://docs.hydra.so/overview), [**local dev guide**](https://docs.hydra.so/guides/local_development), [**analytics guide**](https://docs.hydra.so/guides/analytics), [**architecture**](https://docs.hydra.so/intro/architecture), [**changelog**](https://docs.hydra.so/changelog/changelog)\n\nIf you’ve made it this far here’s a pic of me (joe) and my cofounder (jd) in hood river, oregon. Building Hydra has been a wild ride, but we found a way to have fun.\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/69da46c2-bfc2-48c6-8ed3-2364e71c34fd)\n\n",
        "url": "https://www.ycombinator.com/launches/N0V-hydra-serverless-realtime-analytics-on-postgres",
        "votes": 8,
        "created_at": "2025-03-11T12:27:09.916Z"
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    "name": "Trackingplan",
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    "website": "https://trackingplan.com",
    "all_locations": "Barcelona, CT, Spain; CT, Spain; Remote",
    "long_description": "Trackingplan automatically discovers and monitors all the information your applications and websites are collecting, ensuring that you can trust your BI, analytics, marketing, and sales tools. \r\n\r\nYou can think of us as Segment Protocols but totally transparent, where developers can keep using Google Analytics, Amplitude, Hubspot, Intercom, Braze, etc. as they are used to. \r\n\r\nInstalled in minutes in using your Tag Manager or adding just one line of code to your web or apps, we model all the data being sent to third parties. Since Trackingplan understands what each piece of data means, it identifies patterns, detects anomalies, and automatically connects the dots to create value from data that was hidden in plain sight:\r\n\r\n- An always up-to-date single source of truth and data governance tool. To discover, understand and document your data and improve communication across teams.\r\n- Automated notifications when something breaks or changes. To make sure that integrations are always well implemented: Schema errors, traffic anomalies, rogue events... \r\n- Easy to understand, customizable, cross-service alerts. To detect trends, insights, and problems without using complex, engineer-oriented solutions.",
    "one_liner": "Automated QA for your Digital Analytics",
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    "city": "Barcelona",
    "country": "ES",
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        "full_name": "Alexandros Andre Chaaraoui",
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        "linkedin_url": "https://www.linkedin.com/in/alexandrosandre/",
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        "full_name": "Jose Padilla",
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        "founder_bio": "Hi there! Trackingplan co-founder here. Our team joined because we had the need to do something. We had suffered a well-known problem: bad data. Relying on bad data to take business decisions is a pain in the ass. As we are enthusiasts in software, artificial intelligence and business, we had to do something about it. Trackingplan was born. I've built many kinds of software before, from desktop apps to home automation systems. So I'm excited about building Trackingplan and kill -9 bad_data",
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        "full_name": "Jose Luis Perez",
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        "founder_bio": "I'm born and I live in Spain. I love creating products that matter, dogs and soccer.\nI studied CS and founded three tech companies, where I took the role of CEO and product lead, but I try to code when my smarter fellows don't see me. \nAt Guiomatic, we sold millions of custom travel guides to airlines\nAt Hooks, we sent billions of notifications to millions of users. \nAt Techstars we learned a lot.\nNow at Trackingplan, we help companies trust their data.",
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        "linkedin_url": "https://linkedin.com/joseluisperezgonzalez",
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        "founder_bio": "Business and technical oriented.\nWorked in development, product, operations and sales. 3x founder and VC.",
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    "id": 25752,
    "name": "Simplifyd Systems",
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    "website": "https://simplifyd.com",
    "all_locations": "London, England, United Kingdom; LA, Nigeria",
    "long_description": "Simplifyd enables businesses deliver their internet apps (websites/mobile apps) data-free, similar to toll-free telephone lines. We do this through our Zerodata app\r\n\r\nFounded in August of 2021 and based in Lagos, Nigeria and Nairobi, Kenya, Simplifyd through its Zerodata platform is a trusted marketplace for data-free internet apps. \r\n\r\nBusinesses list their internet apps (websites/mobile apps) on the Zerodata platform so end users can access them data-free!\r\n\r\nEnd users simply need to download the Zerodata app, available for both mobile and desktop, toggle on and enjoy access to listed apps data-free!\r\n\r\nWe are on a mission to make apps accessible to over ~2B people in emerging economies who simply cannot afford the costs of internet data subscriptions.\r\n\r\n\r\n",
    "one_liner": "We deliver toll-free internet apps",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1647434209,
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    "batch": "Winter 2022",
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      "Europe",
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/simplifyd-systems.json",
    "year_founded": 2021,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/simplifyd-africa",
    "x_url": "https://twitter.com/simplifydHQ",
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      {
        "user_id": 572737,
        "full_name": "Sam Keiru",
        "title": "Founder | COO: Product Innovation & GTM Lead",
        "founder_bio": "I’m passionate about using innovation to drive growth and create meaningful impact. I enjoy turning complex challenges into scalable solutions and bringing ideas to life. \n\nMy focus is on delivering real value and making a positive difference. Always open to connecting with others who share a commitment to transformative growth.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samkeiru/",
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        "user_id": 485250,
        "full_name": "Tomi Amao",
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        "linkedin_url": "https://www.linkedin.com/in/tomi-amao-1a227a14/",
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        "title": "YC-backed Simplifyd is set to become Africa’s destination for Data free Internet Access",
        "url": "https://techpoint.africa/2022/03/17/yc-backed-simplifyd-is-set-to-become-africas-destination-for-data-free-internet-access/",
        "date": "Mar 17, 2022"
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    "id": 25753,
    "name": "Airwork",
    "slug": "airwork",
    "former_names": [
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      "Litebulb"
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    "website": "https://www.airworkhq.com",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Airwork is an on-demand labor marketplace for premium blue collar workers. You can get an Airworker the same way you get an Uber, except instead of a taxi, someone shows up at your work site to work for the day.\r\n\r\nAirwork fills 98% of shifts in 2 hours. We're currently live in 8 industries across Southern Ontario, Canada, and customers include Tesla, the Toronto Pearson Airport, and the CNE.\r\n\r\nWe're funded by YCombinator, Expa, Village Global, and SHL Capital.",
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    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1641840585,
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      "Enterprise Software",
      "AI"
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      "America / Canada",
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        "answer": "4 months after graduating from the YC W22 batch in March 2022, we realized our business wasn’t going to take off, so we pivoted. Our team kept circling around the problem of Canada’s labour shortage. Every day we were seeing supply chain delays, emergency rooms backed up, and restaurants understaffed. Canada is one of the most educated OECD countries (56% of adults have post-secondary education), yet somehow within just 2022, worker satisfaction dropped 3%, commitment to work dropped 6%, and satisfaction with salary dropped 10%.We realized there’s a unique opportunity to build a marketplace that offers flexible work for workers and an instant workforce on demand for businesses. This marketplace would pay a premium to workers while saving recruiting costs for businesses. It would also allow workers to pick up shifts wherever they want, whenever they want, while allowing businesses to post shifts based on demand. We believe Airwork is building Canada’s future of work."
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    "url": "https://www.ycombinator.com/companies/airwork",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/airwork.json",
    "year_founded": 2022,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/airworkhq",
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    "fb_url": "https://www.facebook.com/AirworkHQ",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 425576,
        "full_name": "Gary Lin",
        "title": "Founder",
        "founder_bio": "Founder/CEO at Airwork. Former engineer at Meta, Nauto, Yelp, NVIDIA. University of Waterloo Computer Science 2019 grad. Proud husband and dad.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/garyjlin",
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      {
        "title": "30 Under 30 Local 2023: Toronto",
        "url": "https://www.forbes.com/sites/forbesunder30team/2023/08/09/30-under-30-local-2023-toronto/?sh=22384b5237d2",
        "date": "Aug 30, 2023"
      },
      {
        "title": "The Recruitment Revolution: 15 Viral-Worthy Canadian Startups Leading the Way – Canadian Venture",
        "url": "https://canadaventure.news/the-recruitment-revolution-15-viral-worthy-canadian-startups-leading-the-way/",
        "date": "Jun 01, 2023"
      },
      {
        "title": "How Y Combinator Taught me What Really Matters When Building a Startup [Founder Story]",
        "url": "https://altar.io/y-combinator-taught-me-what-really-matters-when-building-a-startup/",
        "date": "Feb 10, 2023"
      },
      {
        "title": "Airwork gives every Canadian the power to control their work schedule",
        "url": "https://madeinca.ca/gary-lin-airwork/",
        "date": "Jan 05, 2023"
      },
      {
        "title": "Canadian startups in Y Combinator tie all-time high at Winter 2022 Demo Day | BetaKit",
        "url": "https://betakit.com/canadian-startups-in-y-combinator-tie-all-time-high-at-winter-2022-demo-day/",
        "date": "Mar 30, 2022"
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        "title": "🇨🇦 Airwork - Canada's on-demand frontline workforce",
        "tagline": "We connect Canadian businesses with the top 5% of general and skilled labourers within 2 hours",
        "body": "**tldr; Canada is facing a skilled labour shortage. Airwork is solving this by connecting businesses with the top 5% of general and skilled labourers on a flexible basis. Companies can fill any shift within 2 hours, and workers can work on their own terms. Check us out at **[**airwork.io**](http://airwork.io)**!**\n\nHey everyone, 👋\n\nI’m [Gary](https://www.linkedin.com/in/garyjlin/), the founder of [Airwork](https://airwork.io). We’re a team of 5 building a marketplace to solve Canada’s labour shortage and give everyone the power to work on their own terms.\n\n### **Problem: Canadian businesses are struggling with staffing**\n\n![uploaded image](/media/?type=post&id=73045&key=user_uploads/425576/dbbd3422-576c-41db-aab8-2ae66e7c6bb0)\n\nIn Q4 of 2022, 36.9% of all Canadian businesses experienced difficulties hiring skilled labourers, led by construction (49.5%), manufacturing (47.4%), and food services (46.3%). We spoke to over 100 companies, and more than half have experienced one of these within the last 90 days:\n\n👎 Candidate doesn’t show up to interview\n\n👎 Candidate signs offer but doesn’t show up on the first day\n\n👎 Employee quit without notice\n\n👎 Employee consistently shows up late or leaves early\n\n👎 Skilled labour positions go unfilled for months due to lack of applicants\n\n### **🎉 Solution: Airwork 🎉**\n\nAirwork is an on-demand labour marketplace that lets managers book vetted workers online within minutes. We spent the last year building in private beta and are now launching in **public beta**! 💪 🚀 📈\n\nAirwork’s vetting process involves a resume screen, attendance test, background check, and video interview. As a result, out of tens of thousands of applicants, only the top 5% are selected.\n\nWe’re live the Greater Toronto Area, just expanded to all of Southern Ontario, and plan to expand across Canada.\n\n![uploaded image](/media/?type=post&id=73045&key=user_uploads/425576/78a4a429-d2f2-4752-82b5-83f74d4e9656)\n\nTo date, Airworkers have filled skilled and general roles for:\\\n1\\. Manufacturing plants\\\n2\\. Warehouses and logistics companies\\\n3\\. Construction companies\\\n4\\. Events, conferences, and weddings\\\n5\\. Commercial cleaning and facility services\\\n6\\. Commercial printing\n\nWorkers can download Airwork on the Apple App Store or Google Play Store and apply to become an Airworker. Airworkers can book shifts nearby and get paid within the same day.\n\n![uploaded image](/media/?type=post&id=73045&key=user_uploads/425576/4fe06d68-03a9-44ec-b1d0-2a860ba9d9ff)\n\nOur business portal also enables managers to create shifts, manage rosters, trigger backfills, and track time sheets all in one place. We also automate administrative and compliance complexities, reducing the overhead of workforce management:\n\n✅ WSIB insurance coverage\\\n✅ RCMP-backed criminal record checks\\\n✅ Payroll and time-tracking\\\n✅ Automated backfilling\n\n![uploaded image](/media/?type=post&id=73045&key=user_uploads/425576/8890f4bb-d0a4-41e8-9421-eb96fc0fbe05)\n\n### **Do you need workers?**\n\nAre you in Southern Ontario? Sign up for a free account at [airwork.io](http://airwork.io) and try us out! If not, reach out to [gary@airwork.io](mailto:gary@airwork.io) to join your city’s waitlist.\n\n### **Do you know someone that might need workers?**\n\nSend a referral to [gary@airwork.io](mailto:gary@airwork.io). Once your referee books 10 shifts on Airwork, we’ll give you a $1,000 CAD referral bonus! 💸\n\n### **Do you want to take control of your work schedule?**\n\nDownload our app on the [App Store](https://apps.apple.com/ca/app/airwork/id1644979123) or [Play Store](https://play.google.com/store/apps/details?id=io.airwork.Llama) and get apply to become an Airworker today! 💪",
        "url": "https://www.ycombinator.com/launches/J09-airwork-canada-s-on-demand-frontline-workforce",
        "votes": 23,
        "created_at": "2023-07-13T19:36:14.142Z"
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        "title": "Nullstone: ☁️ Better dev experience for cloud providers",
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        "body": "### tl;dr\n\nNullstone improves developer team productivity with quality-of-life features that are difficult and costly to build with an in-house DevOps/Platform team: Auto-Build/Deploy, Preview Environments, GitOps, and Automatic Secrets Management.\n\n### 🌩️ Problem\n\nLaunching and managing cloud apps is tedious and distracting for product teams. On average, building, maintaining, and orchestrating cloud infrastructure accounts for \\~25% of a software team’s budget. The current solutions are inflexible, require significant expertise, and/or are costly:\n\n* Platform-as-a-service (PaaS) are black boxes and don’t provide flexibility and control to achieve security, compliance, and reliability.\n* Hiring DevOps Engineers to build custom infrastructure and automation is costly and distracting from a team’s primary purpose.\n* Hiring Platform Engineers to build a custom, internal developer platform requires an enormous upfront build with a long-term maintenance cost of the platform that rarely provides an intuitive experience to developers.\n\nThe most precious resource for a software product are developers focused on building a fantastic product — a great developer experience is the [primary driver for productivity](https://queue.acm.org/detail.cfm?id=3595878).\n\n### ☀️ Solution\n\nNullstone is a suite of tools delivered as a single product that enables developer self-service while accommodating the flexibility and control that platform engineers need to maintain secure, compliant, performant, and reliable infrastructure.\n\n![uploaded image](/media/?type=post&id=73668&key=user_uploads/850501/1fe8a18b-3ecb-48ab-8023-983d9f2f6826)\n\nFor developers, Nullstone provides an easy-to-use developer experience to deploy and observe apps on major cloud providers using containers, serverless, static sites, or servers.\n\n![uploaded image](/media/?type=post&id=73668&key=user_uploads/850501/99e0b94f-0672-4777-aa43-484f94961d06)\n\nFor platform engineers and architects, Nullstone provides a simple mechanism to provide modern delivery workflows and infrastructure building blocks to developers. Using familiar tools like Terraform ensures company policies are followed without needing to build a developer experience.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=73668&key=user_uploads/850501/53d30583-a275-4694-bd33-25b505012695)\n\n### ⚙️ How it works\n\n* Developers pick from an extensive, curated catalog of open-source, compliance-certified infrastructure modules or from company-built infrastructure modules.\n* Developers choose to auto-build/deploy or use custom CI.\n* Developers launch preview (ephemeral) environments from a pull request, through the UI, or through the API.\n* Developers can use ClickOps or GitOps to control infrastructure.\n* Developers can observe and monitor applications without accessing a cloud console.\n* Platform Engineers build reusable infrastructure components for developers to self-serve through an easy-to-use UI.\n* Platform teams customize networks, clusters, and datastores while providing the right level of access for developer self-service.\n* Platform teams connect third-party log and metrics providers for developers.\n* Platform Engineers perform automated rollouts of infra upgrades and bug fixes.\n\nThe flexibility allows Nullstone to support monoliths, monorepos, microservices, and everything in between.\n\n### 🙏 Asks\n\n* [Launch an app](https://app.nullstone.io/) for free!\n* Want to learn more, [check us out](https://www.nullstone.io/) and [book a demo](https://www.nullstone.io/book-demo)!",
        "url": "https://www.ycombinator.com/launches/JAC-nullstone-better-dev-experience-for-cloud-providers",
        "votes": 31,
        "created_at": "2023-08-01T20:05:56.367Z"
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    "all_locations": "Hong Kong, Hong Kong",
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    "long_description": "Designers, branding agencies, and on-line stores can use Vimmerse’s AI creators platform, Apps, and API to animate their images at scale making their business stand out from the crowd.",
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    "name": "Talentropy.ai",
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      "HoyTrabajas Inc.",
      "HoyTrabajas",
      "HoyTrabajas.com",
      "HoyTrabajas"
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    "website": "https://talentropy.ai/",
    "all_locations": "Bogotá, Bogota, Colombia; Remote",
    "long_description": "Think of us as your dedicated AI recruiting team, available 24/7 to engage with every single candidate in their preferred language. We help companies to evaluate 100% of their candidates while reducing the workload on their recruiting teams. \r\n\r\nOur technical co-founders, Rubén, Vladimir, and Sebastián, bring vast HR industry experience. HoyTrabajas is supported by Rebel Fund, Alan Rutledge, Kube Ventures, Flucas VC, Magic Fund, New Ventures, Y Combinator (w22), and more.",
    "one_liner": "AI solution that streamlines candidate screening and recruitment",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1642016773,
    "tags": [
      "SaaS",
      "B2B",
      "HR Tech",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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      "Human Resources"
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    "regions": [
      "Colombia",
      "Latin America",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "The driving force behind HoyTrabajas comes from a personal fire that's also burning in my co-founders. We saw how the traditional job boards have been a real headache for job seekers, especially those who are just starting. I know this because I've been there myself, hunting for my first job and not getting any feedback on my applications. That made me crazy at that moment. Now picture what's going down for all those people who aren't chasing professional jobs. They're probably in a rush to put food on the table for their families. And you know what? This struggle is very real for around 100 million low-skilled individuals in LATAM. People are feeling the pain of job finding. That was our motivation to be over this bote."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We applied four times. The first two attempts did not result in an interview. On our third attempt, we had an interview, but it did not go well. It was on our fourth attempt that we were selected.Our time at YC has been one of the most rewarding experiences of our lives. We learned about the immense value of focusing on the product. Besides, being part of a vast network, many U.S. funds now recognize us, making our fundraising journey less challenging."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We visit Silicon Valley twice a year to meet investors and other YC startup founders. We arrange meetings at a specific location with some partners. Every three months, we also schedule an office hour to discuss business progress and challenges."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "* We launched in August 2019, beginning with five people: three founders and two employees.* We connected candidates and clients through WhatsApp.* In March 2020, we secured our first B2B customers.* We raised our pre-seed funding round of 500,000 USD.* We expanded operations to the three main cities in Colombia: Bogotá, Medellín, and Cali.* We established our first version of the Job Marketplace.* In November 2021, we became part of YCombinator.* We found PMF with one of our offerings in Colombia.* In 2022, we secured a seed funding round of 5 million USD.* In 2023, we expanded our business to Mexico.* We implemented AI tools to facilitate a better experience for candidates and clients.* In Q4 of 2023, we expanded our product offerings to provide more value to our customers and increase the average annual revenue.* Currently, we have 290 clients, with Mexico accounting for over 40% of our sales. We have a team of 64 people, 70% of whom work in product development."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The Latin American job market faces challenges for both employers and job seekers, particularly in lower-skilled roles:1. **Limited Growth Opportunities:** Job seekers often find limited opportunities for skill development and career advancement, leading to professional stagnation.2. **Job Insecurity:** High turnover rates in low-skilled jobs result in job insecurity and financial instability.3. **Access to Quality Jobs:** With a hiring success rate often below 7%, job seekers struggle to find quality jobs that match their skills and preferences.4. **Lengthy Hiring Process:** An 8 to 10-day hiring process may delay employment, particularly for those urgently needing a job.5. **Career Development Support:** High turnover environments may lack training or support programs, impacting long-term employability.6. **Job Matching:** Mismatches between job seekers’ skills and employer requirements cause inefficiencies in hiring."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our goal is to become the leading platform in connecting low-skilled role-users with quality jobs, growth opportunities, and benefits. We are committed to transforming people's lives and making a positive impact on society while continually improving our services."
      }
    ],
    "url": "https://www.ycombinator.com/companies/talentropy-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/talentropy-ai.json",
    "year_founded": 2019,
    "city": "Bogotá",
    "country": "CO",
    "linkedin_url": "https://co.linkedin.com/company/hoytrabajas",
    "x_url": "https://twitter.com/hoytrabajas",
    "fb_url": "https://www.facebook.com/HoyTrabajasLatam",
    "cb_url": "https://www.crunchbase.com/organization/hoy-trabajas",
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      "name": "Diana Hu",
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        "full_name": "Ruben Cordoba",
        "title": "Founder",
        "founder_bio": "MBA, I have more than 10 years of experience in entrepreneurship. I worked in planning and fundraising for infrastructure projects. \nI have 3 years of experience in the recruiting & staffing industry. \nI´m passionate about companies, art, and activities that involve risk. I consider myself good at solving problems and motivating his team.\n",
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        "linkedin_url": "https://www.linkedin.com/in/rubencordoba/",
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    "id": 25831,
    "name": "mutable.ai",
    "slug": "mutable-ai",
    "former_names": [
      "MetaMagic",
      "MutableAI",
      "mutble.ai"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5e9d67f4f9b4fe022f90fe7c836e1fa021382d31.png",
    "website": "https://mutable.ai",
    "all_locations": "San Francisco, CA, USA; Pittsburgh, PA, USA; Remote",
    "long_description": "Mutable.ai is automating corporations starting by automating software and software understanding. Our product auto wiki (https://wiki.mutable.ai/kubernetes/kubernetes, https://twitter.com/mutableai/status/1744426997575553413) turns code into wikipedia style articles with citations to the code is the best way to understand complex technologies",
    "one_liner": "Artificially Intelligent Corporations",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1645727988,
    "tags": [
      "Developer Tools",
      "Productivity",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Acquired",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/mutable-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/mutable-ai.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mutableai/",
    "x_url": "https://twitter.com/mutableai",
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    "founders": [
      {
        "user_id": 904867,
        "full_name": "Omar Shams",
        "title": "Founder",
        "founder_bio": "Omar is the founder of Mutable.ai. He was a researcher at DeepMind, publishing on Reinforcement Learning & GraphNets in NeurIPS. Omar was also part of a small team that developed a music recommender, which tied with Amazon Music in a live bake-off, and he has three patents in the recommender space. In a previous life, Omar was a theoretical physicist working on black holes and particle physics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/omar-s-baa4ba61/",
        "x_url": "https://x.com/smahsramo",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e24085d979bb7d41437562186028f4ce77854b03.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 82174,
        "title": "Mutable.ai: A living expert on your codebase",
        "tagline": "A living expert on your repo with full awareness of your codebase",
        "body": "# Mutable ai is a living expert on your repo with full awareness of your codebase\n\nWe created an AI expert on your codebase with _infinite effective context length_ by creating an always up-to-date wiki on your codebase (language models are really good at using language to navigate codebases it turns out!)\n\nSee the chat in action on [ollama](https://wiki.mutable.ai/ollama/ollama):\n\n![uploaded image](/media/?type=post&id=82174&key=user_uploads/904867/ac16cfe8-73d9-45ea-93b4-bc0666ee73a7)\n\nThe wikis have citations to your code, code diagrams, ability to revise it with AI, and it’s always up to date. Here is an [example](https://wiki.mutable.ai/ollama/ollama):\n\n![uploaded image](/media/?type=post&id=82174&key=user_uploads/904867/2dab2550-772e-4987-bd8d-95aa105bfb1d)\n\nPR bot that summarizes changes to the wiki with a nice diff view:\n\n![uploaded image](/media/?type=post&id=82174&key=user_uploads/904867/73d44099-d131-494a-9420-3a1a9ebf213b)\n\n![uploaded image](/media/?type=post&id=82174&key=user_uploads/904867/6de4274c-3880-457d-83a2-431cfc99ffca)\n\n",
        "url": "https://www.ycombinator.com/launches/LNO-mutable-ai-a-living-expert-on-your-codebase",
        "votes": 6,
        "created_at": "2024-07-16T16:57:06.712Z"
      },
      {
        "id": 80195,
        "title": "Auto Wiki v2 by Mutable.ai: Convert your codebase into a wiki style article now with diagrams",
        "tagline": "Now featuring code diagrams and the ability to use AI to revise your wiki.",
        "body": "[Mutable.ai](http://Mutable.ai) is excited to introduce Auto Wiki v2! Our technology transforms your codebase into Wikipedia-style articles. Now featuring code diagrams and the ability to use AI to revise your wiki, it’s our favorite way to learn about new codebases and maintain up-to-date documentation.\\\n\\\nCheck out our release video for more information: <https://www.youtube.com/watch?v=HiP563Q9Sws>\n\nGetting started is easy: simply visit [wiki.mutable.ai](http://wiki.mutable.ai/), pick the repo you are interested in, and let our AI take care of the rest. Our new basic tier costs just $2/repo/month, and for a limited time, you can use the coupon code XDOTCOM to generate them for $1/mo.\n\nWe made a number of improvements with your feedback in mind, including:\n\n* Code diagrams generated in Mermaid\n* Filter and search for your wiki\n* AI revision with instruction\n* Manual edits to revise wikis\n* Better underlying model\n* Private repo support that follows the permissions of the repo\n* Wiki is updated automatically every month and with each commit with our upcoming PR bot.\n\nPlease note you will only be able to edit a wiki if you’re a contributor or sponsor of a repo.\n\nThank you!\n\nPS Here are some more example v2 wikis:\n\n<https://wiki.mutable.ai/princeton-nlp/SWE-agent>\n\n<https://wiki.mutable.ai/bitcoin/bitcoin>\n\n<https://wiki.mutable.ai/karpathy/llm.c>\n\n<https://wiki.mutable.ai/openai/transformer-debugger>\n\n<https://wiki.mutable.ai/tensorflow/tensorflow>\n\n<https://wiki.mutable.ai/Significant-Gravitas/AutoGPT>",
        "url": "https://www.ycombinator.com/launches/KrT-auto-wiki-v2-by-mutable-ai-convert-your-codebase-into-a-wiki-style-article-now-with-diagrams",
        "votes": 7,
        "created_at": "2024-04-15T22:02:03.263Z"
      },
      {
        "id": 77591,
        "title": "Auto Wiki: Turn your repo into a wiki with AI",
        "tagline": "Auto Wiki generates a wiki style website based on your repo",
        "body": "Mutable.ai is proud to introduce Auto Wiki, which lets you generate a Wiki-style website to document your codebase. Citations link to code, with clickable references to each line of code being discussed. Here are some examples of popular projects: \\\n\\\nReact: <https://wiki.mutable.ai/facebook/react>\\\nOllama: <https://wiki.mutable.ai/jmorganca/ollama>\\\nKubernetes: <https://wiki.mutable.ai/kubernetes/kubernetes>\\\nD3: <https://wiki.mutable.ai/d3/d3>\\\nBitcoin: <https://wiki.mutable.ai/bitcoin/bitcoin>\\\nTerraform: <https://wiki.mutable.ai/bitcoin/bitcoin>\n\n![uploaded image](/media/?type=post&id=77591&key=user_uploads/904867/af4c7637-aa61-4979-97ee-35370632ed8a)\n\nAuto Wiki makes it easy to see at a high level what a codebase is doing and how the work is divided. In some cases, we’ve identified entire obsolete sections of codebases by seeing a section for code that was no longer important. Auto Wiki relies on our citations system which cuts back on hallucinations. The citations link to a precise reference or definition, meaning the wiki generation is grounded on the basis of the code being cited rather than free-form generation. \n\n[ ](https://www.youtube.com/watch?v=HiP563Q9Sws])\n\\\nWe're running Auto Wiki on the most popular 1,000 repos on GitHub. If you want us to generate a wiki of a public repo for you, send us a note at [info@mutable.ai.](mailto:info@mutable.ai) The wikis take time to generate as we are still ramping up our capacity, but we’ll reply that we’ve launched the process and then come back with a link to your wiki when it’s ready. \\\n\\\nFor private repos, you can use [wiki.mutable.ai](http://wiki.mutable.ai) to generate them simply by signing in, authorizing the repo, and paying for generation. We also offer private deployments with our model for enterprise customers; ping us at [info@mutable.ai](mailto:info@mutable.ai). \\\n\\\nAnyone who already has access to a repo through GitHub will be able to view the wiki, only the person generating the wikis needs to pay to create them. Pricing starts at $4 and ramps up by $2 increments depending on how large your repo is. In an upcoming version of Auto Wiki, we’ll include other sources of information relevant to your code and generate architectural diagrams. Please check out Auto Wiki and let us know your thoughts! Thank you!",
        "url": "https://www.ycombinator.com/launches/KBT-auto-wiki-turn-your-repo-into-a-wiki-with-ai",
        "votes": 6,
        "created_at": "2024-01-18T18:58:45.562Z"
      },
      {
        "id": 73630,
        "title": "Mutable.ai: The AI-powered platform for software teams",
        "tagline": "Build and understand software using just English",
        "body": "Introducing [app.mutable.ai](http://app.mutable.ai) for codebases. We help you develop software by using (1) AI codegen to create features, (2) AI enhanced explanation and search, (3) Suggest improvements to your code, (4) Seamlessly switch from your laptop to the cloud and back with our cli tool.\n\nComing soon: auto standup, auto bug identification, auto wiki creation, and a revamped VS Code extension + a new Jetbrains extension.\n\n[ ](https://youtu.be/SdAteyB4-Uw)",
        "url": "https://www.ycombinator.com/launches/J9a-mutable-ai-the-ai-powered-platform-for-software-teams",
        "votes": 10,
        "created_at": "2023-08-01T01:31:03.790Z"
      }
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    "id": 25835,
    "name": "Kular",
    "slug": "kular",
    "former_names": [
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    "website": "https://www.kular.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Kular is an AI Lead Generator, generating leads for busy professionals and business owners and only charging for results. Today, Kular generates leads for over 1000 companies via email and LinkedIn. \r\n\r\nKular is being built by a team of MIT, IIT, Cambridge and Oxford grads, backed by some of the best investors in the world, including Y-Combinator, Entrepreneur First, Acequia Capital and angel investors behind companies like Ironclad, OpenSea and Stripe.",
    "one_liner": "AI Lead Generator",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1647346997,
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      "B2B",
      "Marketing",
      "Advertising"
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    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
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      "Sales"
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/kular.json",
    "year_founded": 2021,
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    "country": "GB",
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      "name": "Harj Taggar",
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        "user_id": 819825,
        "full_name": "Nelson Jones",
        "title": "Founder",
        "founder_bio": "Nelson is the cofounder of Kular and an entrepreneur by background, starting his first business during his last year studying law at Oxford University. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nelson-jones-238487194/",
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    "launches": [
      {
        "id": 92005,
        "title": "Kular Website Visitors",
        "tagline": "Never miss a sales opportunity again; turn anonymous website traffic into high-quality leads automatically.",
        "body": "**The Problem**\n\nYou wouldn’t leave potential customers sitting in your waiting room. So why would you leave them sitting on your website?\n\n**The Solution**\n\nKular Website Visitors automatically identifies visitors to your website, researches them and, where appropriate, autonomously engages them via email. Now you can turn anonymous traffic into high-quality leads on autopilot. See the full launch video here: https://www.youtube.com/watch?v=oj1rNG2j36Y\n\n**Our Ask**\\\nSign up here to receive your first 20 visitors for free: [web.kular.ai/onboarding/website](http://web.kular.ai/onboarding/website)\n\nAfter the trial, we’re the only provider in the market to offer pay-as-you-go pricing ($0.30 per identified visitor, no minimum, no lock-in).",
        "url": "https://www.ycombinator.com/launches/Nvx-kular-website-visitors",
        "votes": 11,
        "created_at": "2025-07-09T16:59:30.867Z"
      },
      {
        "id": 90389,
        "title": "Kular AI LinkedIn Voice Notes: reach any prospect, in any language, anywhere in the world. Only pay for results!",
        "tagline": "Kular AI LinkedIn Voice Notes. Only Pay For Results.",
        "body": "**TLDR**: Kular is an AI Lead Generator, delivering qualified sales leads for over 1000 companies and only charging for results. Companies can use Kular today to send LinkedIn voice notes in a clone of their voice— to any prospect, in any language, anywhere in the world. \n\nhttps://youtu.be/WKHBjLI14bw\n\n**The problem**\\\nOutbound sales are increasingly crowded. Now more than ever, companies need to stand out from the crowd with a personal touch. This works for large enterprises, but small businesses don’t have the time or resources to meet the demands of modern outbound.\n\n**The solution**\\\nKular AI Voice Notes: you can now clone your own voice today to reach out to prospects in any language, anywhere in the world.\n\nWith just 15 seconds of set-up time and no upfront cost, you can use cutting-edge AI to generate leads and only charge for results. Kular makes it so easy that your grandparents can use AI voice at scale.\n\nOnly pay when you receive a lead ($250/lead, reduced to $150/lead for YC alumni/referrals).\n\n**Our ask**\n\nSign up here to receive a free lead: http://web.kular.ai/onboarding?utm_source=BF\n\n![uploaded image](/media/?type=post&id=90389&key=user_uploads/819825/0bc46347-0eef-4191-b7e8-790b33977326)\n\n",
        "url": "https://www.ycombinator.com/launches/NVt-kular-ai-linkedin-voice-notes-reach-any-prospect-in-any-language-anywhere-in-the-world-only-pay-for-results",
        "votes": 17,
        "created_at": "2025-05-14T13:35:18.357Z"
      },
      {
        "id": 89617,
        "title": "Kular - AI Lead Generator",
        "tagline": "Kular generates leads for over 1000 companies and only charges for results",
        "body": "**TLDR;** Kular is an AI Lead Generator, delivering qualified sales leads and only charging for results ($250/reply or $375/booked meeting).\n\n<https://www.youtube.com/watch?v=zDPTJJWWRkA>\n\n**The problem:** Outbound can work for everyone, but it's hard for “normal” businesses without VC money and software margins.\n\n* Every B2B business needs sales leads, and outbound sales is a very effective way to generate leads.\n* Outbound requires a lot of upfront investment in time, skills, data and infrastructure.\n* This works for VC backed software companies with money in the bank and high margins to invest in getting outbound working.\n* There are 2 million “normal” B2B businesses in the US who can’t currently access outbound as a channel.\n\n**The solution:** AI lead generator: generate sales qualified leads with the click of a button, only pay for the leads you receive.\n\n* Kular makes outbound so easy your grandparents can run outbound campaigns at scale.\n* Click 1 button in our web application, and Kular will take care of the entire process, including strategy, infrastructure and execution.\n  * Strategy: Kular will read your website to understand who you want to target, and suggest messaging to reach them.\n  * Infrastructure: Kular will set up and warm domains and mailboxes for you to send emails.\n  * Execution: Kular will find the right contacts to reach out to, get their email addresses, and email the right person at the right time.\n* Only pay when you receive a lead ($250/lead, reduced to $150/lead for YC alumni/referrals).\n\n**Our ask:**\n\n* Sign up here to receive a free lead: [**http://web.kular.ai/onboarding?utm_source=BF**](http://web.kular.ai/onboarding?utm_source=BF)\n* We’ll be posting about the highs and lows of directly correlating our revenue with the results we deliver for customers. Follow our LinkedIn page to hear more: [**https://uk.linkedin.com/company/joinkular**](https://uk.linkedin.com/company/joinkular)",
        "url": "https://www.ycombinator.com/launches/NJR-kular-ai-lead-generator",
        "votes": 16,
        "created_at": "2025-04-17T16:38:53.826Z"
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        "url": "https://www.forbespt.com/start-up-theneo-vence-pitch-da-web-summit-2022/",
        "date": "Nov 04, 2022"
      },
      {
        "title": "Web Summit | Theneo wins PITCH contest at Web Summit 2022",
        "url": "https://websummit.com/blog/theneo-pitch-2022-siemens",
        "date": "Nov 04, 2022"
      },
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        "title": "Theneo wants to bring Stripe-like API documentation to all developers • TechCrunch",
        "url": "https://techcrunch.com/2022/10/19/theneo-wants-to-bring-stripe-like-api-documentation-to-all-developers/",
        "date": "Oct 19, 2022"
      },
      {
        "title": "Startup World Cup Winner THENEO has a Chance to Earn $1 Million in Silicon Valley - Startup - CBW",
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        "tagline": "Theneo is the quickest, simplest way to generate high-quality, interactive API docs. Just import your API collection and we'll take care of the rest.",
        "body": "Hey there,\n\nAna from Theneo. Theneo is a tool for generating Stripe-like API Docs. Using AI, we are the first company to automate the full life cycle of documentation, from generating content to publishing. Theneo was built with the belief that generating high-quality, interactive documentation should not be tedious and we provide the tool to do just that. Theneo is used in production by more than 8000 companies\n\nUsing Theneo you can:\n\n* Build interactive API docs\n* Taylor your documentation\n* Update docs automatically (via IDE extensions and github integration)\n* Built for everyone\n* Bring all of your docs together with the Developer Portal\n* Let your users test APIs using the API Explorer\n\nSome of the APIs and Developer Portals generate in Theneo\n\n* Developer Portal for Uome , perfect example how your API catalague can look like in Theneo <https://developers.myuome.com/> \n* <https://developers.paymob.com/> Paymobs interactive docs and developer portals, all built in Theneo \n\nFor Startup Community we are offering 6 months free access to our business package. Email us at [hello@theneo.io](mailto:hello@theneo.io), email subject YC Startup Community",
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    "team_size": 3,
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        "title": "Bracket - Sync Salesforce & Postgres: Heroku Connect alternative for any SaaS",
        "tagline": "Two way syncs between business tools and your database",
        "body": "**Tl;dr:** [**Bracket**](https://app.usebracket.com) syncs data bidirectionally between tools like Salesforce & databases like Postgres — think Heroku Connect between any SaaS tool and any database or warehouse. For companies that collect customer-relevant information in SaaS tools, Bracket is the simplest way for engineers to get this data in front of customers in real time.\n\n—\n\nHey everyone! We’re Vinesh, Ian, and Kunal and we’re building Bracket.\n\n![](https://lh5.googleusercontent.com/xrZwklibKE9wZuf_lyCSiei3Nt082k0IncnOuMZsmtUqwLV_JLbWEPilfCw1HJ41-GfqJg7XruoZP4cigIcN3RfnS7vKItZsqlzx8uyAMRBJs1dQItNfvU8E8f9I7qWzJZZHT1NhxwblRHAdUajPh4s)\n\n### **The problem**\n\nCompanies often need a way to manually adjust the info that a lead or customer sees - think of the sales team of a software company that wants to customize a demo environment for a high-value lead, or the ops team of a car rental company that needs to manage which cars are available for customers to book. \n\nThe job of designing, implementing, and championing a fix falls to engineering. Engineers can either build a custom UI for their teammates, or connect with the tools they already use, like Salesforce or Airtable. \n\nThere are a few problems with this:\n\n1. Custom UIs run against the grain of the tools that business teams already use and can even require double data entry on the part of those teams. This leads to low adoption. \n2. This leads most engineers to integrate with their business teams’ existing tools. However, setting up real-time two-way syncs is a highly technical challenge that can take entire quarters of implementation time.\n\nIn short, custom-built solutions lead to low adoption, and built-from-scratch integrations with business teams’ tools can take months of engineering effort.\n\n### **How we solve it**\n\n**Using two-way syncs, Bracket is the easiest way to keep data in sync between business teams’ existing tools, like Salesforce, and databases, like Postgres.** \n\nThis creates a win-win-win. Using the Salesforce <> Postgres example:\n\n* Engineering gets to build on top of Postgres and doesn’t have to deal with the Salesforce API (we do that for you). Engineering also meets business teams where they are, optimizing adoption.\n* Customer-facing business teams (e.g. Sales, CX) continue to leverage Salesforce, a familiar, highly productive tool with tons of features and a strong community, and can trust that their data is fresh.\n* Customers - seeing fresh, personalized data - get the best UX possible, increasing lead conversion and paid retention.\n\n \n\nOur new web app works with Salesforce and Postgres along with other connectors (like  Airtable, Google Sheets, MySQL and more).\n\n![](https://lh4.googleusercontent.com/plJHt6uWnEfHvqApcTBso-yoZ9penLWsS7gyG4usf8avqWinfSaNtFVRLwV4Hd7eFAcmJ-A-ueNFIgpiv33S4TlCZGBd_OyOzauJWPKPKRj3r_-PSyKQMxoqJqQ5T03cd7LPWWLlg_9DJ0marOEavuM)\n\n### **Demo:**\n\n[ ](https://www.youtube.com/watch?v=sRkaAa667T0)\n\n### **Differences from Heroku Connect?**\n\n1. **Built for your tech stack:** We support beyond just Heroku Postgres. Not only do we support any hosted Postgres, but we also have two-way syncs with other databases and warehouses.\n2. **Active Development:** Heroku Connect hasn’t been updated in years and has no new features on their official roadmap. Bracket continues to develop around the modern stack.\n3. **Uses cases across teams:** We’ve built two-way syncs for CRMs like Salesforce but also other products like Airtable, Google Sheets, and more.\n4. **Price:** We’re far cheaper than Heroku Connect, which can run north of $50k / year.\n\n### **Our ask:**\n\nIf you want to try this yourself, get started[ **here**](https://app.usebracket.com)\n\nOtherwise, if you:\n\n1. Are looking for two-way syncs between other tools and want us to build it\n2. Know any data engineers at mid-market / enterprise companies to make an intro\n3. Have any other questions, please reach out to [founders@usebracket.com](mailto:founders@usebracket.com)",
        "url": "https://www.ycombinator.com/launches/JI2-bracket-sync-salesforce-postgres-heroku-connect-alternative-for-any-saas",
        "votes": 28,
        "created_at": "2023-08-16T13:53:42.831Z"
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    "id": 25912,
    "name": "Vessel",
    "slug": "vessel",
    "former_names": [
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      "Kinit"
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    "website": "https://vessel.dev",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Vessel is the developer-first, native integration platform for GTM tools. We make it easy for developers to integrate with your customer’s CRMs, Sales Engagement, Marketing Automation, Chat, Dialers, and more. Integrate in different ways customized for your use cases: \r\n\r\n- Speed: Use our Unified APIs to roll out many integrations quickly through a common data model and unified interface.\r\n- Depth: Use our actions API to build deeper integrations when working with entities custom to each app.\r\n- Ease: Use ETL to let us handle pulling and pushing customer data to your DB\r\n- Extensible: Support any integrations through our open-source integrations library\r\n\r\nBreadth and depth, make your integrations limitless.",
    "one_liner": "Developer-first, native integration platform for GTM tools",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1647450085,
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      "API",
      "Marketing",
      "Customer Support",
      "CRM"
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    "isHiring": false,
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    "batch": "Winter 2022",
    "status": "Inactive",
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    "url": "https://www.ycombinator.com/companies/vessel",
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Avery Yip",
        "title": "Founder",
        "founder_bio": "Avery Yip is the co-founder of Vessel. Avery previously worked at Productiv as a backend/infra engineer in the SaaS management space. When he started at Productiv, it was Series A with less than 10 customers and he helped grow it to Series C with over 100 customers. He earned a degree in Computer Science & Data Science from UC Berkeley.",
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        "linkedin_url": "http://linkedin.com/in/averyyip",
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      {
        "user_id": 828021,
        "full_name": "Zachary Kirby",
        "title": "Founder",
        "founder_bio": "Career Experience: Productiv (Series C) - FE Developer, Gusto - KP Engineering Fellow, FaceBook/Meta - FE engineering Intern\n\n|| Entrepreneurial Experience: KP Fellow, Accel Scholar, Glynn Capital Investment Fellow, Cal Hacks Executive Director\n\n|| Collegiate Experience: UC Berkeley - Computer Science",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/zkirby/",
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      {
        "id": 64733,
        "title": "Vessel: Easily integrate with your customer’s CRM",
        "tagline": "Vessel allows developers to read and write to their customer’s CRM with one integration.",
        "body": "### ⁉️ Problem\n\nFor products that need access to their customer’s CRM, having a breadth of integrations has become table-stakes. However, it is difficult to build CRM integrations in-house, because you need to:\n\n* support different types of authentication\n* understand the data model, APIs, and ever-changing specs of each CRM platform\n* handle platform limitations like API quotas and limited webhooks support\n* transform data from your customer’s CRM for use in your product\n\nCompanies are spending a lot of engineering resources building and maintaining CRM integrations in-house. For instance, we spoke to a company that built a HubSpot integration and had to turn it off because they didn’t have the resources to handle HubSpot’s API limits.\n\n### 💡 Solution\n\nVessel is the universal API for CRMs, making it easy for developers to build applications that integrate with their customer’s CRM.\n\n* A unified interface to read and write across 8 objects: Accounts, Leads, Contacts, Deals, Events, Notes, Tasks, [Users](https://vesseldocs.stoplight.io/docs/vessel/603bd0ce2abb1-get-all-users)\n* [Webhooks](https://vesseldocs.stoplight.io/docs/vessel/e1m6clym4s5ya-webhooks) to keep your data fresh without polling even if the end platform does not offer webhooks on certain objects.\n* A drop-in UI to securely connect your customer’s CRM to your product\n* Avoidance of rate limits for platforms you integrate with\n* Improved developer experience with strongly associated objects. You can easily identify all of the associated objects (e.g. going from leads -> accounts, accounts -> leads)\n\n### ⚡ Get started\n\nIf you’re looking to integrate CRMs into your product, book some time [here](https://calendly.com/vesselapi/vessel-demo) or send us an email with your use case at [founders@vessel.land](mailto:founders@vessel.land)! Learn more at <https://vessel.land>.",
        "url": "https://www.ycombinator.com/launches/Gq5-vessel-easily-integrate-with-your-customer-s-crm",
        "votes": 22,
        "created_at": "2022-07-19T15:12:24.823Z"
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    "id": 25913,
    "name": "Inden",
    "slug": "inden",
    "former_names": [
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      "Argo",
      "Trueplace"
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    "website": "https://inden.ai",
    "all_locations": "Vancouver, BC, Canada",
    "long_description": "Real people in live, high-stakes conversations with AI. We supply voice and video AI teams with human + AI conversation data: webcam video, separate human and AI audio tracks, turn timing and scores.",
    "one_liner": "How people actually talk to machines.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1644373814,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/inden",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/inden.json",
    "year_founded": 2021,
    "city": "Vancouver",
    "country": "CA",
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        "user_id": 837359,
        "full_name": "Jovan Choongh",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jovanchoongh/",
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        "id": 75090,
        "title": "Content Strategist - TikTok Script Writer",
        "url": "https://www.ycombinator.com/companies/inden/jobs/7iuiipd-content-strategist-tiktok-script-writer",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$25 / hourly",
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    "id": 25914,
    "name": "IoTFlows Inc",
    "slug": "iotflows-inc",
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    "website": "https://www.iotflows.com/",
    "all_locations": "Atlanta, GA, USA",
    "long_description": "IoTFlows combines AI-powered hardware and software to give manufacturers real-time visibility into machine utilization, downtime, and workflow efficiency. Our plug-and-play platform analyzes data, generates actionable insights, and automates maintenance and operational tasks, helping teams optimize performance and achieve ROI in less than a month. Trusted by companies like Parker Hannifin, IoTFlows delivers high-margin, subscription-based value that scales seamlessly.",
    "one_liner": "Plug-and-play AI platform with sensors and dashboards that makes…",
    "team_size": 60,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1643385384,
    "tags": [
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      "Manufacturing",
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    "url": "https://www.ycombinator.com/companies/iotflows-inc",
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    "year_founded": 2020,
    "city": "Atlanta",
    "country": "US",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "full_name": "Mahmoud Parto",
        "title": "Founder",
        "founder_bio": "Co-Founder and CEO at IoTFlows Inc",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mahmoudp/",
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        "user_id": 746447,
        "full_name": "Ulises Carrasco",
        "title": "Founder",
        "founder_bio": "Building the next generation of industrial machine connectivity.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ulises-carrasco1/",
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    "id": 25923,
    "name": "HOAi",
    "slug": "hoai",
    "former_names": [
      "Quick Power",
      "inc",
      "Forest",
      "Convore"
    ],
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    "website": "https://www.hoai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "HOAi (acquired by Vantaca in Fall 2024) is a fast-growing startup revolutionizing the community association management industry. Our AI workforce platform integrates machine learning technology to streamline labor-heavy processes, eliminating inefficiencies and driving scalability. With rapid growth in the AI space, we are pushing boundaries to redefine industry standards. ",
    "one_liner": "AI agent for community management",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1645836609,
    "tags": [
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      "Real Estate",
      "Community",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Acquired",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/hoai",
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    "linkedin_url": "https://www.linkedin.com/company/myhoai",
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        "full_name": "Haoyu Zha",
        "title": "Founder",
        "founder_bio": "Making HOAi awesome",
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    "id": 25928,
    "name": "Attain",
    "slug": "attain",
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    "long_description": "Attain is a one-stop shop for convenience store owners to buy inventory across all their suppliers with higher reliability, price transparency, and product discovery.\r\n\r\nOn average, store owners buy products from over 10-15 different suppliers each week. This painful process involves shopping in massive warehouses or spending hours working with wholesaler’s sales representatives (who sometimes don’t even show up). As a result, stores waste countless hours ordering products through extremely inefficient and tedious processes. These store owners are also severely impacted by inventory shortages and revenue loss which many times results in them downsizing their business or shutting them down completely.\r\n\r\nAttain solves this problem by providing a single app to purchase products across all of their suppliers, resulting in a one-stop shop for inventory. By aggregating inventory across a multitude of suppliers and wholesalers, Attain helps stores save significant time and money while allowing them to focus on what they do best - growing their businesses.\r\n\r\nFeel free to reach out at founders@joinattain.com!",
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    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Aamir Hudda",
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        "user_id": 537857,
        "full_name": "Joseph Yeh",
        "title": "Founder",
        "founder_bio": "Co-Founder & CTO of Attain\nEx-Engineering at Amazon, Shell, Soma, 3x YC Companies\nCompute Science & Math @ Berkeley\nHobbies: Working out + poker",
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We understand that building a product/company is incredibly challenging and we want to take as much off your plate as possible.\n\n.\n\n### What problem is User Insights solving?\n\nWhen we first started out a few years ago, all of our customers were other early stage startups.\n\nAs an early stage startup, the first thing you want to do is just get your product live immediately - get your MVP in front of users, get feedback, and hear if you are headed in the right direction or not.\n\nOur role there is pretty straightforward - we need to provide the simplest authentication story possible to help our customers get in front of their users.\n\nHowever, as our customers have grown in both number of MAUs and headcount, we’ve realized that they all tend to shift from “the most important thing is getting in front of people” to “how can we pour fuel on this fire?”\n\nPut differently, it’s not enough to simply get users signed up - you need to know more about them.\n\n.\n\n### What is User Insights?\n\nWith User Insights by PropelAuth, you can quickly get an understanding of:\n\n* Who your power users are\n* Which users and organizations are at risk for churn\n* Where your users are coming from\n* Which of your organizations are growing\n\n.\n\n### 💪 Identifying Power Users\n\nForming relationships with your power users is key to growth. They’re potential advocates, potential logos for your marketing site, and will likely have the best feedback for you about your product experience. Plus… they’re the most willing to pay if they’re not already!\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/dc0abe3f-a561-4f33-9e50-aae735e8698b)\n\nIf you’re curious about an individual users usage, we also provide a visualization on their user page, like this user who clearly is a big fan:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/fd4cd0e9-606d-4347-ae5a-3db7277cdc90)\n\nOr this user… who you might want to check in with:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/73f6b3fa-144f-4936-91b5-d75a2d90ea15)\n\n.\n\n### ⚠️ Proactively identifying Churn Risk\n\nSpeaking of proactively checking in with customers, we wanted to make that easier as well.\n\nWhile it’s exciting to see your user count go up, that’s not the end of the work you have to do: you also have to make sure to retain as many of those users as possible.\n\nWith our Churn reports, you can easily see which of your users and organizations haven’t been active in your product for awhile:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/a61c595f-f9ed-4e7e-ab71-0d7fe00d1cd9)\n\nWe also provide re-engagement reports so you can see how your efforts are going to get these users back into your product.\n\n.\n\n### 🔍 Understanding where users came from\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/04f77928-72fa-42eb-a877-d66af61e2821)\n\nUnderstanding where your users are coming from is the easiest way to make sure your marketing efforts aren’t going to waste. Now, any URL query parameters that users have on sign up will be stored. You’ll be able to get both an aggregate report (see above) or take a look at a specific user’s profile page:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/3fcb54a2-6c4d-4a72-a7bc-6ba6afb2a3d6)\n\n.\n\n### 📈 See how quickly your customers are expanding\n\nOne of the most exciting moments for any B2B company is watching one of your customers onboard more employees to your product.\n\nAnd keeping an eye on which of your organizations are growing quickly can make it easy to target efforts around upselling. The Organization Growth report lets you see that at a glance:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/1f730d81-6c2c-40d8-83b5-5288eda8a207)\n\nYou can also quickly see which of your users is responsible for growth with the Top Inviters report. We recommend keeping in touch with these users - they’re your biggest advocates!\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/a86b1605-0100-43f4-b58b-5c58479162aa)\n\n.\n\n### And more…\n\nThere are also more reports to discover, charts to visualize how you are doing, and stats to see how this month compares to previous months. We’re also working on a few integrations so you can sync this data to your own analytics platform for even deeper analysis.\n\n.\n\n### Our asks\n\n* Ready to set up your B2B auth flow and gain a better understanding of your users? [Sign up for PropelAuth here.](https://www.propelauth.com/?utm_source=launchyc)\n* Want to keep up to date with our product updates? Follow us on [LinkedIn](https://www.linkedin.com/company/propelauth) or [Twitter](https://twitter.com/PropelAuth)!\n* Have an idea/request for something that you didn’t see above? Send us an email at [support@propelauth.com](mailto:support@propelauth.com)\n\nThanks,\n\nThe PropelAuth Team",
        "url": "https://www.ycombinator.com/launches/K97-user-insights-by-propelauth-don-t-just-acquire-your-users-understand-them",
        "votes": 20,
        "created_at": "2024-01-11T18:56:39.083Z"
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    "all_locations": "Truckee, CA, USA; Remote",
    "long_description": "Fogbender helps B2B companies support customer teams: think Intercom meets Slack's shared channels.\r\n\r\nToday, all customer software is explicitly or implicitly designed for helping individuals, not teams. This is forcing B2B companies - who sell products to teams, not individuals - to augment their default customer support platform (Zendesk, Intercom, Front, etc) with a second, \"unofficial\", system: Slack's shared channels.\r\n\r\nThis causes a number of operational and logistical difficulties for both vendors and their customers, resulting in added costs, inefficiencies, and lost opportunities.\r\n\r\nWith Fogbender, B2B vendors embed a team-to-team messaging widget directly on their customer dashboard, where all users belonging to an account can - with no additional authentication - 1) see a list of currently-open issues 2) participate in conversations with their own team and the vendor, and 3) search all historical discussions.",
    "one_liner": "Customer support tool purpose-built for companies that sell APIs",
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    "website": "https://jamsocket.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "We are a platform for high-performance browser-based applications. We make it easier for developers to deploy apps that give every user a dedicated backend.\r\n\r\nThis is a system design that apps like Figma and GitHub codespaces use, but it's currently difficult for others to replicate it. We make it as easy as deploying a traditional web server.",
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "long_description": "Any asset, every chain, in an instant.",
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        "founder_bio": "Building decent.xyz, math cs econ @ Brown, previously SWE @ mongo.db, blockchain + poker enthusiast",
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        "title": "Decent Raises $3.5M to Allow the Music Industry to Embrace Web3 Seamlessly – AlleyWatch",
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    "name": "Unsaddl",
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    "long_description": "Unsaddl enables employers to offer education benefits (student loan and 529 plan contributions and tuition reimbursement) and leave of absence management",
    "one_liner": "education benefits and leave of absence management",
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        "full_name": "Daniel Lewis",
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    "long_description": "Rider is building modern parcel delivery for online sellers in Pakistan. We are doing $130K in monthly revenue, delivering 200K orders per month across 60 cities. Unlike traditional logistics players, Rider’s solution is: Easier to use (integration with shipper portals, delivery agent app, end- customer app); Quicker (route optimization, next day deliveries, 24-hour cash repayment); Transparent (resolves ‘fake attempt’ deliveries, offers live tracking) and Flexible (shipper and customer control on delivery location and times). ",
    "one_liner": "Modern parcel delivery for online sellers in Pakistan. ",
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    "name": "Shaped",
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        "id": 97225,
        "title": "ShapedQL: The SQL engine for search, feeds, and AI agents",
        "tagline": "Connect your data. Train your models. Query text, user or session context and retrieve relevant results in milliseconds.",
        "body": "Hi everyone 👋\\\n\\\nI'm Tullie, the founder of [Shaped](https://www.shaped.ai/).\\\n\\\n**TL;DR**\\\n\\\nToday we’re launching ShapedQL, a new language purpose built for agents, feeds and search. We built ShapedQL because we realized that while retrieval has become easier (thanks to Vector DBs), ranking and relevance are still incredibly hard.\\\n\\\nLaunch video: <https://www.youtube.com/watch?v=Owj_uSUPNaU>\\\n\\\n**Problem ❌**\\\n\\\nMost engineering teams we talk to are stuck maintaining a \"Frankenstein\" stack. To build a \"For You\" feed or give an AI Agent personalized memory, they have to glue together a vector database, a feature store (like Redis), a reranking service, and thousands of lines of Python spaghetti code.\\\n\\\n**Solution ✅**\\\n\\\nWe built ShapedQL to turn that \"house of cards\" into a single interface.\n\n![uploaded image](/media/?type=post&id=97225&key=user_uploads/812951/eed67b43-7c3b-4b0f-819a-5bbd31db2732)\n\nShapedQL is a domain-specific SQL dialect that compiles down to a high-performance, multi-stage ranking pipeline. With a single query, you can define the four stages of modern relevance:\\\n**1. Retrieve:** Fetch candidates from multiple sources (Hybrid Search, Collaborative Filtering, Trending).\\\n**2. Filter:** Apply hard constraints (e.g., \"in stock\" or \"within 50 miles\").\\\n**3. Score:** Rank results using real-time ML models (optimizing for clicks, purchases, or watch time).\\\n**4. Reorder:** Enforce diversity so your users (or Agents) don't see the same 5 items repeatedly.\n\nWe're seeing teams reduce 2,000+ lines of maintenance code down to \\~30 lines of ShapedQL, while shipping features like \"Cart Upsell\" or \"Conversational Recommendations\" in days instead of months.\n\nIf you're not a fan of SQL we also have Python or Typescript SDKs, perfect for a real-time production integration.\n\n![uploaded image](/media/?type=post&id=97225&key=user_uploads/812951/d3cc12cc-3c74-448b-adf0-ae65d9359b79)\n\n**Ask 💬**\\\n\\\n**1.** We have a Product Hunt launch at this link: <https://www.producthunt.com/products/shaped>. Any support or and upvote would be greatly appreciated!\\\n\\\n**2.** Please try out our interactive demo at [playground.shaped.ai](https://playground.shaped.ai), we’d love to hear any feedback on the new language. Were you able to easily make a query? Do the docs make sense? What is it missing?\\\n\\\n**3.** If the problems above resonates and you’re struggling to get true relevance from your vector store or current retrieval system, please get in touch! Book on this calendar here: <https://www.shaped.ai/contact> and mention you’re from YC. I’ll make sure to jump on the call to help you out myself.\n\n![uploaded image](/media/?type=post&id=97225&key=user_uploads/812951/bb70b2b7-780a-4da6-a13f-511015e09776)\n\n",
        "url": "https://www.ycombinator.com/launches/PI9-shapedql-the-sql-engine-for-search-feeds-and-ai-agents",
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        "created_at": "2026-01-28T00:44:48.253Z"
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        "title": "Shaped — Value Modeling for Search and Recommendation Systems",
        "tagline": "A control panel for your business objectives",
        "body": "# **TL;DR**\n\nWe’ve built Shaped Value Modeling, a framework that enables real-time optimization of recommendation and search ranking models for multiple objectives. It allows teams to blend different objectives (e.g. relevance, conversions, diversity) and dynamically run AB tests that drive business outcomes (with built in analytics tooling). Our community has seen awesome results, so we’re excited to bring this framework to the masses!\n\nWatch our demo [here](https://youtu.be/gYLmtMR-N4I).\n\n**Key Features:**\n\n* **Multi-objective optimization:** Combine multiple models and signals (e.g., click prediction, purchase likelihood, content quality) into a single, customizable scoring function.\n* **Dynamic ranking logic:** Define and adjust ranking objectives as your business needs change using a simple python DSL.\n* **Real-time API:** Modify ranking scores on the fly with simple API calls, enabling rapid experimentation and A/B testing.\n* **Easy to integrate:** Connect and deploy rapidly with direct integration to your existing data sources.\n* **Explainability:** Gain insights into why certain items rank higher through interpretable scoring logic, and a built in analytics platform out of the box.\n\n![uploaded image](/media/?type=post&id=88281&key=user_uploads/857360/543b423e-521a-491d-808b-0bd914f06c23)\n\n**Why This Matters:**\n\n* Rapid iteration: Experiment with new ranking strategies and adapt to changing business needs without lengthy retraining cycles.\n* Improved control: Fine-tune your ranking algorithms with precision and transparency.\n* Better alignment: Optimize for multiple KPIs simultaneously, ensuring your recommendations drive both engagement and business value.\n\n**How it Works:**\n\n1.Train separate models for different objectives (e.g., LightGBM for click prediction, BERT4Rec for purchase likelihood).\n\n2\\. Define a \"value model\" that combines these models using mathematical expressions and custom logic. Let's say we have a lightgbm click-through-rate model called ctr_model and a transformerd based next purchase model called purchase_model, you can create an ensembled value model as follows:\n\n```\nvalue_model = 0.5 * ctr_model + 0.5 * purchase_model + log(item.quality_score)\n```\n\n3\\. Dynamically adjust the value_model via API calls to optimize for different goals or user segments:\n\n```\n{\n  \"user_id\": \"83NSLX\",\n  \"config\": {\n    \"value_model\": \"0.3 * ctr_model + 0.7 * purchase_model\"\n  }\n}\n```\n\n\\\nHow our customers are using value modeling:\n\n* **Marketplaces:** Dynamically mix personalized scores with a geo-location penalizer to connect users with nearby items.\n* **E-commerce:** Balance purchase intent, engagement, and product quality.\n* **Content platforms:** Implement time-decay, boost high-quality content, and personalize recommendations.\n* **Social media:** Dynamically switch between personalized and trending models.\n\n# **Our ask**\n\nIf you know decision-makers in any of these types of organisations, we’d be super grateful for an introduction at [daniel@shaped.ai](mailto:daniel@shaped.ai)\n\n1. Marketplaces\n2. E-commerce\n3. Content platforms\n4. Social Media\n\nFor more information see our website [here](https://www.shaped.ai/value-modelling) and developer docs [here](https://docs.shaped.ai/docs/model_creation_guides/value-modeling)\n\n[Get a demo](https://meetings.hubspot.com/matt2900/meet-with-shaped-?uuid=4076ed73-5725-4ee7-ac01-2e1869237a18) if you’re interested in testing value modeling!",
        "url": "https://www.ycombinator.com/launches/Mxt-shaped-value-modeling-for-search-and-recommendation-systems",
        "votes": 8,
        "created_at": "2025-03-05T15:46:26.414Z"
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    "long_description": "Stripe for NFT purchases. Easily buy/sell NFTs with a credit card.",
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        "full_name": "Michael Luo",
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        "founder_bio": "Hi friends, I was a CTO at Winter but I'm a life coach now :) ",
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        "full_name": "Eduardo Blancas",
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        "id": 78826,
        "title": "Ploomber: Heroku for AI",
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        "body": "**tl;dr; **[**Ploomber**](https://www.platform.ploomber.io/register)** is a cloud platform that quickly deploys container-based AI and data applications (Streamlit, Shiny, Panel, Flask, FastAPI, etc.)**\\\n—\n\nHey all! We're [Eduardo](https://www.linkedin.com/in/edublancas) and [Ido](https://www.linkedin.com/in/ido-michael) from Ploomber, and we're excited to launch our cloud platform!\n\n**Problem**\n\nWith the rise of AI and data, many companies are deploying applications whose requirements differ from typical web applications. The most common differences are larger computational resources and libraries that many PaaS platforms do not allow to install (case in point: one of our customers migrated to our platform after several failed attempts to install a C++ library required for their Python app to run). These restrictions hinder the ability of many companies to ship complex AI and data applications.\n\n**Our Solution**\n\nOur container-based platform provides greater flexibility when deploying applications: you can quickly provision more resources and install anything your app requires to run.\n\nWe provide official support for frameworks like Streamlit, Shiny, Panel, Flask, and FastAPI, but you can use any framework you want.\n\nWe also provide a feature that stops your application automatically if it doesn't receive traffic and starts it again on an incoming request; this offers significant savings for many of our customers who deploy low-traffic applications.\n\n**How it works**\n\n![uploaded image](/media/?type=post&id=78826&key=user_uploads/564961/8070baa6-6dc5-468e-8041-cb35cf860f53)\n\nYou can deploy applications with the UI or via the command-line interface (you can also use the CLI to deploy on each commit to your git repository).\n\n**Live examples**\n\n![uploaded image](/media/?type=post&id=78826&key=user_uploads/564961/50219f4a-395d-4d0d-98cb-4e123ad50efa)\n\n[Arxiv Chat:](https://summer-wind-5194.ploomberapp.io/) a chatbot that allows you to search, ask questions, and download papers from Arxiv. \n\n[Analytical dashboard](https://broad-fire-8217.ploomberapp.io) built with Panel.\n\n[Flask app](https://wild-bonus-9050.ploomberapp.io/) with user authentication and API key management.\n\n**Try it out!**\n\n[Create an account](https://www.platform.ploomber.io/register) and check our [documentation](https://docs.cloud.ploomber.io/en/latest/intro.html) to get started!\n\n**We can help you migrate!**\n\nIf you already deployed an application, we can help you migrate at no cost! Please email us at [contact@ploomber.io](mailto:contact@ploomber.io)! We also have discounts for the YC community, so contact us!",
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        "full_name": "Marc Allen",
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        "title": "‘There’s a lack of urgency among companies in achieving net zero targets’: Unravel Carbon’s Grace Sai | e27",
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        "date": "Oct 04, 2022"
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      {
        "title": "Sequoia’s Surge leads $7.4m round of SG climate-tech firm | Tech in Asia",
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        "location": "San Francisco, CA, US / San Mateo, CA, US / Redwood City, CA, US / Palo Alto, CA, US / Remote (US)",
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        "location": "San Francisco, CA, US / San Mateo, CA, US / Redwood City, CA, US / Palo Alto, CA, US / Remote (US)",
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        "location": "San Francisco, CA, US / San Mateo, CA, US / Redwood City, CA, US / Palo Alto, CA, US / Remote (US)",
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    "website": "https://humand.co",
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    "long_description": "Humand transforms how companies digitize their internal communication, culture, and HR processes within one user-friendly app. As a result, Humand provides every company with a digital Community to centralize every company-employee interaction.\r\n\r\nHumand's digital Communities are powerful, customizable and easily adapt to the needs of every company, no matter the industry, size or region. Companies that implement Humand benefit from the following suite of Mini Apps, which are getting smarter thanks to the power of AI:\r\n\r\n+ Forms & Smart Workflows 📋\r\n+ Internal Social Network ❤️\r\n+ Chat 💬\r\n+ Time Off 🏝\r\n+ Magazine 📰\r\n+ Surveys 📊\r\n+ Smart Intranet 📲\r\n+ Kudos 👏🏻\r\n+ Learning 📚\r\n+ Onboarding 🎉\r\n+ Org chart 👥\r\n+ Company Files and Employee Documents 📂\r\n+ Perks & Benefits 🥂\r\n+ Birthdays & Work Anniversaries 🥳\r\n+ Employee Development 🥇\r\n+ Electronic Signature ✍🏻\r\n+ Smart Tickets 📧\r\n+ Marketplace 🛍\r\n+ Calendar & Events 📆\r\n+ Agenda 🔎\r\n+ Integrations 🔗\r\n\r\nMore than 1,000 companies use Humand. Implemented by ArcelorMittal (biggest steel producer in the world), Tenaris (global leader in steel pipes production), NSG group (among the biggest glass producers in the world), and many other organizations across different countries.\r\n\r\nHumand enables all workers, particularly those without direct access to a computer at their desks, to stay connected with their company anywhere, anytime. Humand enhances internal communication speed, streamline information flow between collaborators, and enable instant, targeted reach to all employees with push notifications tailored to their needs.\r\n\r\nCompanies that adopt a digital Community powered by Humand experience an enriched work environment, heightened employee camaraderie, and a surge in productivity, all contributing to a thriving and connected workforce.\r\n",
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        "full_name": "Geronimo Maspero",
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    "name": "Workflow86",
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    "website": "https://www.workflow86.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Workflow86 provides a complete end-to-end platform for building agentic workflows and automating complex business processes and operations. \r\n\r\nWorkflow86 provides users with a complete suite of tools to build and deploy custom agents and orchestrate them to perform complex, long-running workflows including human-in-the-loop steps, custom code, agent tools, and integrations with your existing systems. \r\n\r\nBuild using a visual canvas, or simply describe the workflow in natural language with agents able to self-configure tools, prompts, and integrations, and even build the multi-agent workflows. ",
    "one_liner": "Agentic workflows for complex, long running business operations",
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    "industry": "B2B",
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    "year_founded": 2021,
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        "full_name": "Aaron Tran",
        "title": "Founder",
        "founder_bio": "Founder of Workflow86, an AI-first workflow automation platform where AI handles the entire process of designing, building, and editing your internal business processes and operations.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/%F0%9F%94%80-aaron-tran-847b2358/",
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    "jobs": [],
    "news": [
      {
        "title": "How a self-taught coder built a no-code tool to simplify business ops | Makerpad",
        "url": "https://www.makerpad.co/blog/how-a-self-taught-coder-built-a-no-code-tool-to-simplify-business-ops",
        "date": "Jan 21, 2022"
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    ],
    "launches": [
      {
        "id": 91547,
        "title": "Workflow86: AI that automates any workflow/business process in minutes",
        "tagline": "Automate any workflow/business process by describing it in natural language",
        "body": "**TL;DR:** Workflow86 is an AI workflow engineer that takes natural language descriptions of business processes and automatically creates fully configured automations with forms, tasks, AI, integrations, and more. \n\nhttps://www.loom.com/share/87e8ea3ad34b425dab8bdfaf31da7f1c?sid=27762eb9-43d8-44a5-8daf-5a1d6ce4e51f\n\n# **The Problem**\n\nEvery business has mission-critical processes that eat up hours of manual work: employee onboarding, contract approvals, lead qualification, vendor management. You know automation could help, but it faces three major issues:\n\n1. **Existing business systems are rigid,** and systems of record like CRMs and ERPs make customization frustrating, complex, and expensive, often requiring external consultants or their own dedicated developers \n2. **No-code tools still have a significant learning curve,** and teams still spend weeks figuring out how to configure and build custom workflows properly before they can deliver value\n3. **Pure no-code solutions struggle to handle edge cases** or highly custom business logic, requiring complex and clunky workarounds.\n4. **Existing tools struggle to fully capture real-world business processes,** which involve complex processes that require a mixture of automation and human-in-the-loop, involve multiple teams and stakeholders, and extend across days, weeks, or even months.\n\n   \n\n## **Our Solution**\n\nWorkflow86 is an AI workflow engineer that takes natural language descriptions of business processes and automatically creates fully configured automations with forms, tasks, AI steps, integrations, and more. \n\n### **Design and deploy automations in minutes**\n\nThis allows anyone to build and deploy custom business processes and workflow automations by chatting to their own on-demand workflow automation expert. \n\n1. **Describe your process** in natural language or even upload an image, flowchart, or process diagram\n2. **AI asks clarifying questions** and develops an implementation plan just like a business analyst would\n3. **AI builds and implements everything** using a combination of forms, human-in-the-loop tasks, database queries, AI steps, API integrations, and even custom JavaScript/Python code\n4. **Deploy immediately** or iterate. You can manually edit the workflow yourself or with more AI assistance\n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/594b669e-574d-4954-a739-3b809de40c01)\n\n### **Combining the best of code and no-code, AI and human-in-the-loop**\n\nWorkflow86 goes beyond just connecting different apps together and builds end-to-end workflows with a range of nodes designed to handle the most complex real-workflow business processes and use cases. \n\n**Visually model complex business processes** and workflows end-to-end in one place via an intuitive visual flow interface with notes, descriptions, and AI explanations to keep everything up-to-date and easy to understand. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/86e66142-9d21-49b4-be71-e8fc1475c132)\n\n**Run custom code** nodes to provide the power and flexibility of code to handle edge cases and complex, or highly customized steps. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/410c36be-1f4a-4668-aced-8181193ca9a8)\n\n**Create AI-powered workflows** with AI nodes that use the latest LLMs to perform tasks inside of their workflow, including summarizing content, extracting values, searching the web, and more. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/ecf9b065-7f6a-4a7e-87b1-63eab31c1875)\n\n**Built-in forms and human-in-the-loop** tasks keep everything in check for workflows requiring human review, approvals, and more. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/54f85e87-704b-4b49-bfda-3c58bb26755d)\n\n**Integration nodes to seamlessly connect** to your existing systems and apps, allowing workflows to be triggered from your existing systems and apps (like your CRM, ticketing, email, and HR systems), and to trigger actions and events in these apps as well. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/755a1ce8-00c1-48e4-8881-a1f8fd60ef62)\n\n### Use cases and examples\n\nHere are some real-world examples you can try:\n\n> Create an employee onboarding workflow that sends welcome emails, creates IT tickets for equipment, schedules meetings with the team, and tracks completion of training modules\n\n> Build a contract approval process that routes based on contract value, requires legal review for contracts over $50k, collects digital signatures, and notifies stakeholders\n\n> I need a lead scoring system that enriches leads from our website, scores them based on company size and engagement, assigns to sales reps by territory, and creates follow-up tasks\n\n> Set up a customer refund process that validates the order, checks refund eligibility, gets manager approval for amounts over $500, processes the refund, and updates our CRM\n\n> Create an expense approval workflow where employees submit receipts, AI categorizes expenses, routes to managers based on amount, and syncs approved expenses to QuickBooks\n\n## Try it today\n\nVisit[ workflow86.com](http://workflow86.com) to start for free. Type in a workflow or business process you want to automate and click generate to see our AI in action.\n\nHave a complex workflow in mind? Book a demo and we'll build it with you live.",
        "url": "https://www.ycombinator.com/launches/NoZ-workflow86-ai-that-automates-any-workflow-business-process-in-minutes",
        "votes": 9,
        "created_at": "2025-06-23T16:31:34.593Z"
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    "id": 26034,
    "name": "Kenobi",
    "slug": "kenobi",
    "former_names": [
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    "website": "https://kenobi.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Kenobi is personalizing the internet. Your marketing site is your front desk to the internet, but its content has to be applicable to all of your ICPs and potential visitors, usually resulting in fragmented and blunt brochure content.\r\n\r\nKenobi acts as your concierge, ensuring each of your visitors receives content that is tailored to _them_ so that they actually convert and progress along your sales journey. You can install Kenobi with one `<head />` tag in your site's markup -- everything else is taken care of using our AI research + content generation pipeline.",
    "one_liner": "Personalize your landing site for each vistor, in one line of code.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1639755149,
    "tags": [
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      "B2B",
      "Sales",
      "Sales Enablement",
      "AI"
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    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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      "Sales"
    ],
    "regions": [
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      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/kenobi",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/kenobi.json",
    "year_founded": 2020,
    "city": "London",
    "country": "GB",
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        "user_id": 410689,
        "full_name": "Christopher Mjelde",
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        "founder_bio": "Personalizing the internet @ Kenobi. Pivoted into Kenobi from Verdn (W22), an environmental pledging platform. BSc business management from KCL. ",
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        "full_name": "Rory McMeekin",
        "title": "Founder",
        "founder_bio": "Full-stack web developer and designer. I like hacking on web apps, drawing, painting, making music (preferably on a computer!).\n\nI'm most interested in the intersection between art, design, and technology.",
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      {
        "id": 96117,
        "title": "Kenobi - Personalize your website to every visitor",
        "tagline": "Each web visitor is different. Let your site speak uniquely to each one.",
        "body": "Hi all, we are [Chris](https://www.linkedin.com/in/chrismjelde/) and [Rory](https://www.linkedin.com/in/rorz/), founders of [Kenobi](https://kenobi.ai).\n\n**TL;DR:** _Kenobi is a small widget that asks your website visitors what company they’re from. For those that opt in, the whole page changes in about 3 seconds, making the page hyper-relevant to them._\n\n![uploaded image](/media/?type=post&id=96117&key=user_uploads/410689/12072fa5-f903-4e42-88b2-5505250f9c5b)\n\n### Problem\n\n98% of web traffic does _not_ convert.\n\nThat’s because your website looks the same to everyone: a startup founder and the CFO of a Fortune 500 company get the exact same experience when they land on your site. When you have to speak to everyone, you end up speaking to no-one.\n\n### Solution: Kenobi\n\n![uploaded image](/media/?type=post&id=96117&key=user_uploads/410689/a085a931-7365-4611-ac7e-e9f801324423)\n\nKenobi appears on your website as a small widget (we call it a ‘cue card’), prompting site visitors to share what company they’re from.\n\nWhen a cue card is submitted, our agent collects context on the visitor, marries it up against the deep research its done on the host domain, and swaps the content on the page to make it hyper-personalized and unique, all in 2-3 seconds.\n\n### The value\n\nThe value of Kenobi is two-fold:\n\n1. Web visitors that opt-in for a personalized experience engage **3x longer** and convert **2x better** than the average visitor\n2. All cue card submissions are sent to you in Slack (much like a deanonymization tool like RB2B, or Vector), so that you can enrich the leads and outbound them\n\n![uploaded image](/media/?type=post&id=96117&key=user_uploads/410689/3e972baa-67ec-40bb-9dbd-51044fa7a551)\n\n### Demo video\n\nhttps://www.loom.com/share/d3145c167cb84172a6dc242ef8e93109\n\n### How we got here\n\nWe were building Verdn, a donation software, for 4+ years. We pivoted into building Kenobi in May, and for the last few months we’ve been working with sales teams to generate customized landing pages for outbound campaigns.\n\nDuring all that time, our #1 feature request has been to cater for inbound web traffic. After tens of thousands of web page variations, we feel like our model is finally good and fast enough to tackle _inbound_ personalization.\n\n### Try it\n\nGo to [kenobi.ai/start](http://kenobi.ai/start) and see in 30 seconds how YOUR page can be personalized to any visitor. If you like how it looks, sign up for our free plan, no CC required.",
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        "created_at": "2025-12-10T19:24:06.229Z"
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    "website": "https://netmaker.io",
    "all_locations": "Austin, TX, USA; Asheville, NC, USA",
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    "industry": "B2B",
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    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/netmaker-inc/",
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        "full_name": "Alex Feiszli",
        "title": "Founder",
        "founder_bio": "Alex is the founder and CEO of Netmaker. Previously, Alex was a senior engineer at IBM, a consultant at Deloitte, and contracted for Red Hat. Alex has worked with over 20 enterprise clients, implementing solutions for DevOps, Kubernetes, and Multi-Cloud.",
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        "url": "https://www.techradar.com/news/the-cloud-networking-market-is-broken-netmaker-is-trying-to-fix-it",
        "date": "Dec 02, 2022"
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        "url": "https://techcrunch.com/2022/10/20/netmaker-connects-servers-spread-across-multiple-locations-with-wireguard/",
        "date": "Oct 20, 2022"
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    "id": 26052,
    "name": "Nara",
    "slug": "nara",
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    "long_description": "We make it easy for small and medium businesses to build an AI sales agents for their websites and social media, augmenting their sales capacity. This assistant provides personalized shopping recommendations to customers and is available 24/7 to answer their questions.",
    "one_liner": "Answer 70% of your support and sales questions. Instantly",
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        "full_name": "Angela Castillo",
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        "linkedin_url": "https://www.linkedin.com/in/angelacastillollinas/",
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        "full_name": "Felipe Abello",
        "title": "Founder",
        "founder_bio": "cofounder at agentcard.sh - prev: cofounder at infactory.ai - founder & CEO at Nara (Helloguru W22) - ex @Rappi (1st employee).",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/pipe-abello-2512b9195",
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        "full_name": "Oscar Rojas",
        "title": "Founder",
        "founder_bio": "I'm a design engineer making AI remove friction from people's lives while staying true to human values. Most recently, I've been designing and shipping AI agents at Founders Inc and Rappi. Previously, I co-founded two YC-backed startups: CPO at Nara W22 (acqd)/ CEO at Wabi S21. ",
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        "linkedin_url": "https://www.linkedin.com/in/oarojas/",
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        "title": "Nara - Your new employee that boosts sales automatically",
        "tagline": "Nara is a digital sales associate specifically built for Shopify stores",
        "body": "## **tl;dr**\n\nIntroducing the first AI-powered digital sales associate for Shopify stores. More than a tool is like **a team member that helps shoppers on all chat channels.** It gives product details, solves customer problems and disputes, helps them find items, and makes the checkout process easy.\n\nWant to see all Nara's skills? Here is its CV: [https://read.cv/trynara/](https://read.cv/trynara)\n\n## **Demo**\n\n<https://youtu.be/L7VQTTejjN0?feature=shared>\n\n## **Why**\n\nWe understand the overwhelm of running a Shopify store. The endless customer queries, the need for quick responses, and the struggle to grow sales while managing day-to-day operations. It's like running a marathon and a sprint at the same time.\\\n\\\nBut how do we know exactly how this feels? \\\n\\\nWe focused on stepping into our customers' shoes - working directly in their CRMs as sales and support agents to truly understand their pain. \\\n\\\nThis is what our inbox looked like from just one customer in just 2 hours 😂\n\n![uploaded image](/media/?type=post&id=76572&key=user_uploads/195578/81d6c5e2-e175-4d18-9fba-2a1d7aa20a99)\n\nBased on this, we are releasing these new updates for Nara.\n\n## **Introducing**\n\n### **1\\. Automated actions**\n\nNara helps you save time by handling all the order tracking questions, cancelations, refunds, and other workflows from end to end.\n\n![uploaded image](/media/?type=post&id=76572&key=user_uploads/195578/db894347-c737-44f3-a522-a6e5c7035a93)\n\n### **2\\. Omnichannel human-level support**\n\nNara integrates seamlessly into all your chat channels like CRMs, Instagram DMs, email, etc.\n\n![uploaded image](/media/?type=post&id=76572&key=user_uploads/195578/df80aca7-592b-4e7e-afc0-40c97ba7324e)\n\n### **3\\. Human touch experience**\n\nNara is bringing back the comfort and ease of chatting with a helpful sales associate we had in physical stores - not just a traditional text chatbot.\n\n![uploaded image](/media/?type=post&id=76572&key=user_uploads/195578/80aa8f6d-4cf6-4d89-96eb-c8f74b8275ea)\n\n## **Our Ask 🙏**\n\n* If you know a DTC brand or Shopify store let us know, we'd love to connect with them!\n* We are raising our seed round. If you know any investors, or if you are an investor interested in this space, we would love to talk.\n* For further inquiries or partnerships, you can send us an email at [founders@trynara.com](mailto:founders@trynara.com)\n\n_Try us!—you can start using Nara here: _[_https://trynara.com/?utm=launchyc_](https://trynara.com/)\\\n\\\nThank you!!! 🙏",
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        "votes": 16,
        "created_at": "2023-12-01T16:52:13.198Z"
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    "one_liner": "Vision-powered warehouse automation: maximizing performance and value",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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    "tags": [
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      "Warehouse Management Tech",
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "year_founded": 2021,
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    "country": "SG",
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    "id": 26066,
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    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/96061039",
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        "full_name": "Walter Pintor",
        "title": "Founder",
        "founder_bio": "Walter is the CTO and co-founder of Query Vary, a startup specializing in prompt design, testing, and refinement tools, with a focus on reliability, latency reduction, and cost optimization. Prior to this, he founded Syncware, a warehouse optimization software tool. He similarly worked automating complex systems and products during his time at the largest research institute in Singapore. His background is in aerospace engineering and mechatronics.",
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    "id": 26073,
    "name": "Dealls – Jobs & Mentoring",
    "slug": "dealls-jobs-and-mentoring",
    "former_names": [
      "SejutaCita (cc: A Million Dreams in Indonesian)",
      "SejutaCita",
      "UseDeall",
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      "Deall SejutaCita",
      "Deall! SejutaCita",
      "Deall SejutaCita",
      "Deall Jobs"
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    "all_locations": "Jakarta, Jakarta, Indonesia",
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  },
  {
    "id": 26296,
    "name": "Reality Defender",
    "slug": "reality-defender",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5de4d57756c747e087b70e720cbfdb09672b0cc7.png",
    "website": "http://www.realitydefender.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Reality Defender is the market leader in deepfake detection, protecting enterprises and governments from realtime deepfake and agentic fraud. Sign up for free access at https://www.realitydefender.com/api\r\n\r\nWebsite: www.realitydefender.com\r\nContact: ask@realitydefender.com\r\nYC AMA: https://news.ycombinator.com/item?id=30766050\r\n\r\nAwards:\r\n2025 - Gartner: Recognized as Market Leader in Deepfake Detection\r\n2025 - JPMorgan: Inducted into Hall of Innovation\r\n2025 - World Economic Forum: Named Technology Pioneer\r\n2025 - USA DIU + Japan MOD: 1st Place \"Global Innovation Challenge\"\r\n2024 - RSA Conference: 1st Place “Most Innovative Startup”\r\n2024 - SINET16 Innovator Award\r\n2023 - SXSW 1st Place \"Artificial Intelligence, Voice, & Robotics Technologies\"",
    "one_liner": "Enterprise Deepfake Detection",
    "team_size": 54,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1647888631,
    "tags": [
      "SaaS",
      "Deepfake Detection",
      "Security",
      "Privacy",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/reality-defender",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/reality-defender.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reality-defender/",
    "x_url": "https://twitter.com/detectdeepfakes",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/reality-defender",
    "github_url": "https://github.com/Reality-Defender",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5de4d57756c747e087b70e720cbfdb09672b0cc7.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5964c6802789808a4a4b473d7214a50d97b4e447.png"
    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 868173,
        "full_name": "Ben Colman",
        "title": "Founder/CEO",
        "founder_bio": "Reality Defender is the market leader in deepfake detection, protecting enterprises and governments from realtime deepfake and agentic fraud.\n\nSign up for free access at realitydefender.com/api\n\nAwards:\n2026/2025 - Gartner: Market Leader in Deepfake Detection\n2025 - JPMorgan: Annual Innovation Award (Inducted into Hall of Innovation)\n2025 - World Economic Forum: Technology Pioneer\n2025 - USA DIU + Japan MOD: 1st Place Global Innovation Challenge\n2024 - RSA Conference: 1st Place",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/benpcolman/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/924b95d2c1dc709772405dca88c251725ee79247.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "KPMG announces partnership with Reality Defender for deepfake detection",
        "url": "https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2023/deepfakes-real-threat.pdf",
        "date": "Nov 21, 2023"
      },
      {
        "title": "AI fake content detection tools | Deloitte Insights",
        "url": "https://www2.deloitte.com/uk/en/insights/focus/tech-trends/2024/reality-defender-helping-companies-with-ai-content-detection.html",
        "date": "Nov 10, 2023"
      },
      {
        "title": "President Biden’s AI executive order has ‘dangerous limitations,’ says deepfake detection company CEO",
        "url": "https://www.foxbusiness.com/media/president-bidens-ai-executive-order-dangerous-limitations-deepfake-detection-ceo",
        "date": "Nov 08, 2023"
      },
      {
        "title": "Google Image Search Will Now Show a Photo’s History. Can It Spot Fakes? | WIRED",
        "url": "https://www.wired.com/story/google-about-this-image-misinformation/",
        "date": "Oct 25, 2023"
      },
      {
        "title": "Reality Defender raises $15M to detect text, video and image deepfakes | TechCrunch",
        "url": "https://techcrunch.com/2023/10/17/reality-defender-raises-15m-to-detect-text-video-and-image-deepfakes/",
        "date": "Oct 17, 2023"
      }
    ],
    "launches": [
      {
        "id": 92611,
        "title": "🚀 Reality Defender: Deepfake Detection with Two Lines of Code",
        "tagline": "We just made deepfake detection incredibly simple — with two lines of code",
        "body": "It’s been a few years since our[ 2022 YC HackerNews launch](https://news.ycombinator.com/item?id=30766050). We’ve since deployed realtime deepfake detection for tier-one banks, media and governments.\n\nAnd one request kept coming: a **public API** to build deepfake detection into any stack.\n\n# 🙌 **We heard you!**\n\nWe’re psyched to announce our that enterprise-grade deepfake detection **API + SDKs** are now exclusively available to **every YC developer** ahead of our public launch. And we’re **including 50 free scans per month**!\n\n# **🎁 YC Early Access: [https://www.realitydefender.com/api](https://www.realitydefender.com/api)**\n\n![uploaded image](/media/?type=post&id=92611&key=user_uploads/868173/759df5fe-4e52-4f41-b197-7e87a97ca248)\n\n**If your product touches voice or image, our API + SDKs gives it instant protection against:**\n\n* 🎙️ AI-generated voice fraud\n* 👤 Fake identities in IDV/KYC \n* 🗣️ Synthetic identities and media across consumer platforms\n* 🚨 AI-manipulated images fueling disinformation\n\nWe **update and improve our models constantly** to stay ahead of emerging threats and built these API and SDKs with simplicity and transparency in mind.\n\n# **🔥 YC Launch Offer**\n\n* 50 free scans/month for YC Launch devs\n* First 5 devs who integrate get get $250 + RD swag\n* Email us at [hello@realitydefender.com](mailto:hello@realitydefender.com) for high volume access, or to connect with our infra/security leads\n\n# **🔥🔥 Free Access for All Devs:[ ](http://app.realitydefender.ai)[Link To Sign Up](https://www.realitydefender.com/api)**\n\n**API**\n\n* [GitHub](https://github.com/Reality-Defender/sample_scripts) /[ Quick Start Guide](https://docs.realitydefender.com/api-reference/quickstart)\n\n**SDKs**\n\n* Python:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-python) /[ PyPI](https://pypi.org/project/realitydefender/)\n* Rust:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-rust) /[ Crates](https://crates.io/crates/realitydefender)\n* Java:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-java) /[ Maven](https://central.sonatype.com/artifact/ai.realitydefender/realitydefender-sdk)\n* Typescript:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-typescript) /[ NPM](https://www.npmjs.com/package/@realitydefender/realitydefender)\n* Go:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-go)",
        "url": "https://www.ycombinator.com/launches/O5j-reality-defender-deepfake-detection-with-two-lines-of-code",
        "votes": 8,
        "created_at": "2025-07-31T17:38:03.899Z"
      }
    ]
  },
  {
    "id": 26303,
    "name": "Massdriver",
    "slug": "massdriver",
    "former_names": [
      "Massdriver",
      "Inc",
      "Massdriver",
      "Massdriver",
      "Inc"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5883f8852f673efcb705f840a66ea4747e755db5.png",
    "website": "https://massdriver.cloud",
    "all_locations": "Los Angeles, CA, USA; Remote",
    "long_description": "Massdriver is an internal developer platform and platform orchestrator. Platform teams publish the Terraform, OpenTofu, and Helm they already write to a catalog; developers and AI agents provision from it with policy enforced before every deploy. Self-hosted or managed.\r\n\r\nPlatform teams encode their security, compliance, and cost requirements into the modules once. Developers and AI agents pick from the catalog, policy runs before anything is created, and every deploy is recorded with who proposed and who approved it.\r\n\r\nMassdriver generates an ephemeral pipeline per deploy, so there are no standing CI/CD pipelines to maintain. Run it self-hosted, on-prem, or in your cloud.",
    "one_liner": "Internal developer platform for Terraform, OpenTofu and Helm",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1642195888,
    "tags": [
      "Developer Tools",
      "DevSecOps",
      "Kubernetes"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/massdriver",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/massdriver.json",
    "year_founded": 2021,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/massdriver",
    "x_url": "https://twitter.com/massdriver",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/massdriver",
    "github_url": "https://github.com/massdriver-cloud",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5883f8852f673efcb705f840a66ea4747e755db5.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 920899,
        "full_name": "Cory O'Daniel",
        "title": "Founder",
        "founder_bio": "CEO / Co-founder @ Massdriver. DevTools and platform engineering enthusiast. I've been building teams/startups, developing, and managing cloud operations for over 20 years. Creator of the Bonny, an Elixir-based Kubernetes operator framework. A proponent of Friday deploys.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/coryodaniel",
        "x_url": "https://twitter.com/coryodaniel",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a1c4ea587234a794049b969c86558ea6fb4bf3d2.jpg"
      },
      {
        "user_id": 922334,
        "full_name": "Chris Hill",
        "title": "Founder",
        "founder_bio": "Software developer and operations engineer with extensive experience in Kubernetes and cloud-based technologies (AWS and GCP). Passionate about scalable system design - declarative, repeatable infrastructure, automated testing, monitoring and observability.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christopher-hill-265282127/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/362d1f40781d07214ef3432011b0c1c71b2228d5.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Announcing our $8m Series Seed - Massdriver Blog",
        "url": "https://blog.massdriver.cloud/posts/announcing-our-series-seed-round/",
        "date": "Aug 22, 2023"
      },
      {
        "title": "Massdriver wants to abstract away infrastructure to let devs focus on coding – TechCrunch",
        "url": "https://techcrunch.com/2022/08/19/massdriver-wants-to-abstract-away-infrastructure-to-let-devs-focus-on-coding/",
        "date": "Aug 19, 2022"
      }
    ],
    "launches": [
      {
        "id": 66021,
        "title": "🧑‍🚀 Massdriver - Production-ready cloud infrastructure in minutes",
        "tagline": "Massdriver handles the boring parts of cloud infrastructure management and DevOps so your team can focus on building great products.",
        "body": "**tl;dr Engineers spend 20-30% of their time reading cloud documentation and fidgeting with tools like Terraform or doing 'ClickOps.' With Massdriver, engineers can provision secure, production-ready cloud infrastructure in minutes without cloud expertise using a simple diagramming interface.**\n\nHey all, we’re Cory, Chris, and David, the team behind [Massdriver.](https://massdriver.cloud) We’re on a mission to radically simplify cloud infrastructure management and ‘DevOps.’\n\n## 😢 The Problem\n\nFor many organizations, DevOps is no longer a set of practices and culture. It’s a separate team with its own backlog slowing down your product development. Software today isn’t simply code on a computer. It’s a series of ~~tubes~~ APIs and services stitched together with YAML, tools like Terraform, and complex IAM rules. A bunch of boring plumbing that is slowing down your feature velocity.\n\n## 🪄 Our Solution\n\nMassdriver is a visual development platform that lets engineers focus on what services they need from the cloud and easily connect them without worrying about implementation details. Massdriver takes care of secret management, provisioning, parity, best practices, and IAM so your team can focus on your product. Our infrastructure and application bundles are open source, so you can modify them as your organization evolves or create your own and extend the platform.\n\n## ⚙ How It Works\n\nDevelopers can quickly connect dozens of pre-built infrastructure and application bundles designed by industry experts to provision secure production-ready infrastructure in minutes. Massdriver focuses on developer needs, not the implementation details of infrastructure, making it easy for developers of any caliber to get great infrastructure instantly.\n\nOur pre-built infrastructure bundles can be forked and modified, and the community can also design their own bundles using Terraform and Helm to extend the platform.\n\n![uploaded image](/media/?type=post&id=66021&key=user_uploads/920899/fea74a72-ac18-49a6-bdc5-f8e8af425525)\n\n## 🚀 Out of This World Features\n\n* Parity management with replication support for infrastructure and applications between regions, environments, and cloud accounts\n* Integrated secret management that injects credentials directly into your applications environment variables\n* Automated principle of least privilege for IAM\n* Dozens of best-practice reference architecture infrastructure bundles to get started, each open-sourced and designed by industry experts\n* Compliance and security scanning for official infrastructure bundles\n* Activity and audit logs of every change to ease your path to compliance\n* Visually compare differences between environments like staging and production or between deployments\n* Integrated alerting and monitoring\n* Application support for containerized and serverless workloads\n* Enterprise-ready deployments for SaaS products - your product in your customer's cloud account today.\n\n## 🙏 Asks\n\nTry it out! Feel free to register on the site and try it out; no credit card is required. If you like it, we have a _stellar_ [deal](https://bookface.ycombinator.com/deals/1318?query=mass) for all YC companies.\n\nJoin us on [GitHub](https://github.com/massdriver-cloud/docs/discussions/9), or DM us on [Twitter](https://twitter.com/massdriver)!\n\nIf you have 10 minutes to chat about Massdriver, please book a time with me [here](https://calendly.com/coryodaniel/10min-intro) 😊",
        "url": "https://www.ycombinator.com/launches/HAr-massdriver-production-ready-cloud-infrastructure-in-minutes",
        "votes": 55,
        "created_at": "2022-09-13T15:07:52.872Z"
      }
    ]
  },
  {
    "id": 26307,
    "name": "Mindbase",
    "slug": "tradex",
    "former_names": [
      "TradeX"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/138a9ab05de536189c7973eacdc2ce67a9ebddc0.png",
    "website": "https://mymindbase.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Mindbase is an AI avatar platform where we launch AI avatars of real human as well create artificial entities and grow them on Instagram/Youtube like a influencer using AI content strategies. \r\n\r\nWe give each AI influencer its own email, phone number and WhatsApp account so they can build deep relationships like a human creator would. \r\n\r\nAlready, generating over 5m+ daily views with just a network of 10+ AI influencers.\r\n\r\nOur business model is simple: brands pay us between $1,000 to $4,000 per month per AI influencer. One of our brand partners generated $45,000 in sales from a $3,000 spend, achieving a 15X ROAS.\r\n\r\nWe believe this is just the beginning.  We can generate $20,000 annually per AI influencer. With just 5000 AI influencers we can quickly scale to $100 million ARR business. \r\n\r\nTo put that in perspective: there are over 400 million regular human influencers globally. Even if we just target a fraction of the market, it’s a massive thing.\r\n\r\nOur team is the key to making this happen. We're alumni of IIT and repeat founders. Previously, built TradeX, a prediction market platform, scaled that to $40 million in monthly trading volume with 5 million users. That success was driven by our trend tracking system & influencer partnerships, the very same expertise we're now using to build Mindbase.\r\n",
    "one_liner": "Build AI influencers that autonomously create content, engage fans…",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1642774181,
    "tags": [
      "Consumer",
      "Gaming",
      "Social",
      "Marketing"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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      "Marketing"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/tradex",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/tradex.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tradexmarkets",
    "x_url": "https://twitter.com/tradexapp",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/tradex-cd89",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 120470,
        "full_name": "Divij Goyal",
        "title": "Founder",
        "founder_bio": "Engineer, Poker player, Trader, Learner, Product Geek. An avid user of product hunt. Technologist by heart. Started career as a software developer. Wore different hats over time from being a  Trader in S&P500 to Product Lead for a NBCF.\n\nFormer Founder at CityMall, A half a billion dollar social commerce in India. Took early exit. Make some money and started TradeX",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/divijgoyal",
        "x_url": "https://twitter.com/divijgoyal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4dd72e157803c23ab3fb5840868a81a98192549.jpg"
      },
      {
        "user_id": 945487,
        "full_name": "Indrajeet Roy",
        "title": "Founder",
        "founder_bio": "An Industrial Engineer graduate from IIT Delhi,  Founder- Hoi Foods- India's 5th largest cloud kitchen company. Build and Sold Employability Assessment Platform Skillwill in 2016. An avid Crypto trader and first principle business thinker",
        "is_active": true,
        "linkedin_url": "https://in.linkedin.com/in/indrajeetroy",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d13280f08d0dccd95847ee50ac39c36502e9a29.jpg"
      },
      {
        "user_id": 588368,
        "full_name": "Ankit Shrivastava",
        "title": "Founder",
        "founder_bio": "10+ years of experience in technology. I have worked with PwC, JPMC and developed a couple of Apps and Games as hobby projects which are live on PlayStore. A part time trader in Indian stock market and love to do sketching, play guitar and photography as hobbies. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ankit-shrivastava-682b4515",
        "x_url": "https://twitter.com/ankit257",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d098370e29d1f956b85aa7fcafe51dbfa20b2e79.jpg"
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    "news": [
      {
        "title": "TradeX bags $1 Mn in Pre-Seed round",
        "url": "https://entrackr.com/2022/01/tradex-bags-1-mn-in-seed-round/",
        "date": "Jan 21, 2022"
      }
    ],
    "launches": []
  },
  {
    "id": 26425,
    "name": "SimpleHash",
    "slug": "simplehash",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ed9dc06a8e2160ef441a0f912e03226a6ba9def.png",
    "website": "https://www.simplehash.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "SimpleHash allows developers to query all blockchain data from a single platform. We index multiple blockchains, take care of edge cases, and can be integrated in a few lines of code. We make the lives of developers working with token data easier by abstracting away all the complexity.\r\n\r\nWe serve some of the leading names in crypto, including Coinbase, Phantom and Uniswap. We're growing quickly, are well-funded, and have an ambitious vision to organize the world of digital assets.\r\n\r\nJoin us if you're excited by a high impact role on a lean, fast paced team at the forefront of the revolution in digital assets.",
    "one_liner": "Multi-chain token data platform",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1647618286,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Crypto / Web3",
      "NFT"
    ],
    "tags_highlighted": [
      "Crypto / Web3"
    ],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Acquired",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/simplehash",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/simplehash.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/simplehash",
    "x_url": "https://twitter.com/SimpleHashInc",
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    "long_description": "Designers and product managers are often locked out of prototyping on top of their existing product. Security policies, large code base, and complex build setup all stand between the promise of code-first front-end design and reality.\r\n\r\nThe Chordio Workbench helps non-technical team members prototype new experiences on top of their existing products even when they don’t have access to the source code.\r\n\r\nThe full workflow runs in Claude Code on your local machine. It starts with cloning the front-end of the product into the workbench repository directly from the browser and compiling it into code a coding agent can work with. This means anyone can start prototyping in minutes without having to worry about a complex environment setup.\r\n\r\nThe Workbench includes agent skills to help ensure prototypes meet team standards, are backed by research, and presented to stakeholders with clarity.",
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    "team_size": 4,
    "industry": "B2B",
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        "full_name": "Ehud Halberstam",
        "title": "Founder/CEO",
        "founder_bio": "I'm the co-founder and CEO of Chordio. From 2014-2017 I was a co-founder and CEO of Brand.ai, where we built a platform that solved problems of design at scale at the enterprise. \nIn 2015 Brand.ai participated in the Techstars accelerator and raised financing from amazing investors. It was acquired by InVision in 2017. \nFrom 2017-2022 I helped build Brand.ai into InVision DSM, InVision's second commercial product.",
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        "full_name": "Amit Bar",
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        "founder_bio": "Co-founder and CTO - Chordio.\n\nPreviously co-founded Brand.ai - a platform for design system management. Sold to InVision in 2017, and stayed on as an engineering manager and director of engineering. Continued to scale and evolve the product into InVision's DSM (Design System Manager).\n\nMoved on in 2022 to lean into the project management space, where I see many familiar patterns and challenges waiting to be solved.",
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      {
        "id": 96377,
        "title": "Design Rails: Generate an agent-ready brand identity in minutes",
        "tagline": "Chat with an AI Creative Director to craft a complete brand from logos to voice & tone. Export as a design system your coding agents use to build consistent, on-brand interfaces.",
        "body": "Hey everyone, Ehud here, CEO of Chordio, the company behind Design Rails.\n\nOver the last year, like everyone else, we've been building products with Claude, Cursor, and other coding agents. We wanted to ship a number of products rapidly to see what resonates most with customers.\n\nWe hit two separate problems:\n\n**Problem 1: The UI looked polished at first glance, but \"wrong\" in ways we couldn't unsee**\n\nThis went beyond the “purple gradient syndrome”. The agent would invent new components with inconsistent styles. It added static labels that looked like buttons. It embellished non-interactive cards with confusing hover states. It used emojis instead of elegant icons. Random choices everywhere.\n\n**Problem 2: We lacked a cohesive brand**\n\nWe were ready to launch a new product experiment within a week. The product worked, but it still felt like a prototype. We worried a “weekend project” look would distort our launch metrics and push us to the wrong conclusions. But we also were not willing to sink thousands of $ into branding before knowing anyone cared.\n\nAs ex-founders of Brand.ai (acquired by InVision), we believed there was a better way. Here’s what we built.\n\n**The solution**\n\nDesign Rails helps you craft your brand through chat, then export structured files your AI agent would use to stay on brand and generate polished UI.\n\nIn under 20 minutes, you get a design-context.zip package that includes a markdown spec, and design-tokens.json that specify:\n\n* Color palette\n* Typography system\n* Component guidelines\n* Voice & tone guide\n\nPlus\n\n* Logo assets in SVG and PNG with light & dark versions.\n\nIt works for new or existing products:\n\nYou drop the files into **/design-context** in your codebase, and tell your agent to\n\n```\nRead design-context/agent-instructions.md and create an integration plan for implementing this design system in our codebase.\n```\n\nThe agent will update your styles, move logos, configure components, and update your LLM instructions ([CLAUDE.md](http://claude.md/), .cursorrules, etc.) to reference the new design system.\n\nWe built this for AI builders who want to ship fast, iterate fast, and have their design look cohesive from day one.\n\nAlso, we’re trying something new (we’ll see how it goes!) - Outcome-based pricing. No token credits. No vendor lock-in. Use Design Rails for free, and only pay to download if you’re happy with the result.\n\nWould love your feedback, questions, and use cases you want us to support next.\n\nThanks for checking out Design Rails!\n\n![uploaded image](/media/?type=post&id=96377&key=user_uploads/1010497/204826ee-b53a-44f3-897f-f9947699012d)\n\n![uploaded image](/media/?type=post&id=96377&key=user_uploads/1010497/7c5faacb-d99e-4a2f-bdff-45bb8586ba01)\n\n![uploaded image](/media/?type=post&id=96377&key=user_uploads/1010497/42b6af05-017a-4fba-bf7d-ba6af209ee58)\n\n![uploaded image](/media/?type=post&id=96377&key=user_uploads/1010497/df99fc11-2fe6-440b-b00d-c353337ea564)\n\nSee it in action: https://youtu.be/TZ3gPYrCLUQ \\[2:19 mins\\]",
        "url": "https://www.ycombinator.com/launches/P4T-design-rails-generate-an-agent-ready-brand-identity-in-minutes",
        "votes": 14,
        "created_at": "2025-12-27T15:41:38.795Z"
      },
      {
        "id": 95564,
        "title": "Design Rails: Give your coding agent its own product design team",
        "tagline": "Ship better UX faster with specialized design agents",
        "body": "Hi everyone! We're excited to introduce a set of specialized AI agents that give your coding agent the design expertise it’s missing.\n\n# **Problem**\n\nYou ask Claude or Cursor to build a feature, and you get working code in 2 minutes, but you're stuck with prototype-level design:\n\n* **Visual glitches**: misaligned cards, text bleeding outside containers, buttons cut off\n* **Generic \"AI-feel\" style**: yet another purple gradient that doesn't fit your brand\n* **Flawed UX**: ignored existing navigation pattern, unlabeled icon buttons, missing loading states\n\nYou end up iterating for hours to reach production quality, if you get there at all.\n\n# **Solution**\n\nDesign Rails is an MCP server that connects to AI coding agents (Claude, Codex, Cursor, …) and unlocks production-ready design through three key capabilities:\n\n**1. Design foundation setup** - Design Rails first establishes a strong design foundation to understand your product like a senior designer would:\n\n* Brand & Design System (extracted from your codebase, or built from scratch)\n* Product Context (what you're building, user personas, key workflows)\n\nThis foundation is captured as .md files in your project. You own the files, version them, and can edit them.\n\n**2. Spec-driven design** - Your coding agent consults Design Rails when facing design decisions. Design Rails orchestrates specialist AI agents including a UX Designer, UI Designer, Accessibility Specialist, and UX Copywriter. Each agent has deep context of your brand, unique design domain expertise, and access to a library of proven patterns from top products.. They work in parallel to produce comprehensive design specs. Your agent gets a detailed blueprint to implement.\n\n**3. Automatic design reviews** - Design Rails spins up a browser to see the rendered results, validating implementation against the spec to catch visual glitches and design inconsistencies before you even see them.\n\n![uploaded image](/media/?type=post&id=95564&key=user_uploads/1010497/4aa73593-8ee3-481f-bcf8-2aaf25f9842c)\n\nSee live before and after examples here: https://designrails.com/#examples\n\n# **Transform glitchy prototypes into production-ready experiences**\n\nTry it out on your existing project, or give it a quick try using an example project we provide as a playground. We’d love to hear your feedback and question- get in touch at [hello@designrails.com](mailto:hello@designrails.com).\n\nTry it now for free at [designrails.com](http://designrails.com)",
        "url": "https://www.ycombinator.com/launches/OrM-design-rails-give-your-coding-agent-its-own-product-design-team",
        "votes": 10,
        "created_at": "2025-11-17T17:46:13.194Z"
      },
      {
        "id": 92765,
        "title": "Chordio - AI-powered design reviews that guard your standards",
        "tagline": "Remove QA grunt work, catch issues early, and ship polished interfaces with confidence.",
        "body": "👋 We’re excited to introduce [Chordio](https://chordio.com), an AI-powered design review tool for designers.\n\n# The Problem\n\nAs generative AI increases the pace of design work, maintaining quality through manual review is quickly becoming impossible. Manual review is slow, inconsistent, and costly. Mistakes slip through, standards drift, and QA turns into a painful bottleneck.\n\nTeams need a better way to answer, “Is this good?” for every design, every time.\n\n# The Solution\n\n**Chordio** is an AI-powered design review tool purpose-built to help product teams raise the quality bar and reduce overhead as they scale up their output. Here’s how it helps:\n\n* **Enforces Quality and Standards**: Chordio checks your designs against your organization’s unique standards, not just generic best practices. You get actionable, relevant feedback that aligns with your team’s guidelines.\n* **Scales Best Practices**: By automating reviews and surfacing helpful resources, Chordio makes it easy for teams of any size to consistently apply best practices and grow design maturity.\n* **Shifts Review Left**: With our Figma plugin, designers can catch and fix issues early—when changes are cheap and easy.\n* **Reduces Friction**: Chordio proactively flags issues before hand-off, so designers, developers, and QA don’t need to play “catch up” later. Fewer last-minute surprises mean less frustration and less design debt.\n* **Broad Review Capabilities**: Our Chrome extension lets you review _any_ webpage, in Staging or Production, so you get broader test coverage.\n\n![uploaded image](/media/?type=post&id=92765&key=user_uploads/1010497/bf4fd533-cc44-45e2-bb2f-35c4bea089bf)\n\n# The Backstory\n\nWhile building a design assistant, we realized how much teams view QA as a burdensome overhead. We noticed that as AI-generated designs become the norm, the gap between design and QA capacity grows wider. The need for a smarter, faster way to review designs became urgent.\n\nThat’s why we built Chordio. Our goal is to help every product team answer “Is this good?” confidently and at scale.\n\n# Try Chordio\n\nIf you’re a designer, product manager, or engineer who cares about quality and wants to keep moving fast, we’d love for you to give Chordio a try. Your feedback will help us shape the future of automated design review.\n\n# Free consulting\n\nIf you’re looking to establish team or company standards or connect your existing ones to an automated QA workflow, let’s get on a call.\n\n![uploaded image](/media/?type=post&id=92765&key=user_uploads/1010497/82027ecc-ee92-4b4f-bc34-4a82d9609f91)\n\n— The Chordio Team",
        "url": "https://www.ycombinator.com/launches/O8D-chordio-ai-powered-design-reviews-that-guard-your-standards",
        "votes": 6,
        "created_at": "2025-08-06T16:06:30.835Z"
      },
      {
        "id": 90093,
        "title": "PRDKit: AI-powered PRDs and supporting GTM artifacts in one place",
        "tagline": "Turn fuzzy feature ideas into clear specs — then auto‑generate the wireframes, user flows & GTM assets that follow.",
        "body": "![uploaded image](/media/?type=post&id=90093&key=user_uploads/1010497/cb87b05b-b9dc-4021-9428-9092d8176677)\n\n👋 Excited to introduce [PRDKit](https://prdkit.ai) - an AI-powered PRD workbench (web + Slack) for product managers and builders.\n\n**Problem:**\n\nWriting great product requirement documents (PRDs) is hard. These documents lay the foundation for a product or feature, yet they’re often bloated, confusing, and missing edge cases.\n\nThis leads to expensive downstream problems from a lack of team alignment to unnecessary work that gets thrown away.\n\nWrangling ChatGPT to write PRDs _works_, but it returns lots of fluff and quickly feels like running a sprint board in a spreadsheet—powerful yet awkward.\n\n**Solution**:\n\nPRDKit is a focused AI tool that captures rough ideas, structures them into clear, lightweight PRDs, and—at the click of a button—spins up the follow‑ups you always need:\n\n* Wireframes & user‑flow diagrams\n* Modular instructions for a dev AI‑agent like Bolt or Loveable for faster prototyping\n* GTM copy snippets\n\nFurther, it’s contextual. It helps you quickly capture the essence of your existing product (enter the homepage URL) to craft PRDs that cater to your personas and existing workflows.\\\n\\\nHere’s a [2-mins demo video]( https://youtu.be/QKNcrOjpUrQ) where you can see it in action. \n\n![uploaded image](/media/?type=post&id=90093&key=user_uploads/1010497/7b05811f-7e8b-478a-8b4a-9f30b40c112e)\n\n**Back story:**\n\nWe were deep into building a UX assistant when we found that product specs were slowing us down. Even with the aid of ChatGPT and Claude, requirements were bloated and disorganized.\n\nSo we spun up a quick internal project on the same AI infrastructure we’ve built, aimed solely at turning fuzz into structure. The team loved it; specs got sharper, hand‑offs got quieter.\n\nThat side project has now been packaged for public use. We want to learn where it shines—or breaks—outside our walls.\n\nProduct managers and builders: [take it for a spin](https://prdkit.ai)! We’ll top off your credits for feedback.\n\nThe PRDKit team\\\n[hello@prdkit.ai](mailto:hello@prdkit.ai)\n\n![uploaded image](/media/?type=post&id=90093&key=user_uploads/1010497/2d54b5da-4c61-492d-9951-eff6893615a4)\n\n",
        "url": "https://www.ycombinator.com/launches/NR7-prdkit-ai-powered-prds-and-supporting-gtm-artifacts-in-one-place",
        "votes": 14,
        "created_at": "2025-05-06T19:11:11.772Z"
      },
      {
        "id": 80115,
        "title": "Chordio: Your generative UX assistant",
        "tagline": "Go from a product idea to screen wireframes 10x faster.",
        "body": "**TLDR;**\n\nChordio is a generative UX assistant that designs screen wireframes based on their description to help product teams increase their product iteration velocity.\n\nAs a founder, you can use Chordio to visualize a new concept quickly, speed up the customer feedback loop, and save time and money building the right solution.\n\n[Here’s a 1-min video](https://youtu.be/eKQ_YJazFZs):\n\n**Problem**\n\nUX design is expensive. Visualizing and prototyping new concepts manually is a laborious task for designers and agonizingly slow for non-designers. This limits the number of designs a product team is able to vet early and leads to expensive redesigns of features down the road.\n\n**Solution**\n\nChordio helps founders and product managers run faster user feedback loops, improve communication clarity, facilitate faster team alignment, and reduce design costs.\n\nYou can think of it as a ChatGPT that’s pre-built for generating product wireframes. With it, you can:\n\n* Generate multiple screen wireframes at a time based on text description.\n* Refine the generated designs with text feedback.\n* Co-create effective copy and UI. Think of Chordio not only as a design assistant but also as a UX writer assistant.\n\n**Backstory**\n\nOur previous startup, [Brand.ai](http://Brand.ai), which helped designers and developers work better together, was acquired by InVision. We’ve been building software to support product teams since.\n\nThese days, AI is reshaping how products get built. GitHub Copilot and similar assistants speed up the development phase. Yet, the design phase is largely left unassisted, creating a new bottleneck in the product development lifecycle.\n\nWe’re building Chordio to remove this bottleneck and help teams build the right products faster.\n\nGet started for free at [chordio.com](https://chordio.com)\n\n---\n\n---\n\n**Contact us to customize Chordio for your team’s existing product and design system.**\n\n\\- Ehud & Amit",
        "url": "https://www.ycombinator.com/launches/KqB-chordio-your-generative-ux-assistant",
        "votes": 13,
        "created_at": "2024-04-11T19:21:38.063Z"
      },
      {
        "id": 65037,
        "title": "Chordio - Lightweight sprint planner for remote development teams",
        "tagline": "Planning made easy. Accurately reflect workload and give everyone a voice to quickly align on a plan forward.",
        "body": "👋 Hi everyone! Ehud and Amit, co-founders of [Chordio](https://chordio.com) here. We previously co-founded [Brand.ai](https://Brand.ai) to help designers and developers work better together. We sold the company to InVision in 2017 and worked on improving product team collaboration since. With Chordio, we’re looking to help teams at any size plan their work better.\n\n### **Why we’re building Chordio**\n\nExisting tools focus on issue tracking, and underserve the upfront project planning needs. Prioritization, estimation, and capacity planning are commonly problems teams are left to struggle with. The transition to remote work made planning harder still, as planning had often started with a whiteboard huddle. The average project management tool doesn’t speak casual. It’s built for an official plan, due dates, and commitments.\n\nThat’s why over 80% of the teams we’ve talked with reach for a general-purpose solution like a spreadsheet for their planning activities. They then face a different set of problems: sweating over manual work, getting formulas wrong, dealing with random editors breaking fragile automations, accumulating massive backlogs, and losing sight of the source of truth among a sea of documents.\n\nSo, we’re building Chordio as the best of both worlds. A lightweight, collaborative tool with key planning features built-in.\n\n![uploaded image](/media/?type=post&id=65037&key=user_uploads/1010497/73819665-290c-41d1-9d44-5cfe67e9ba8b)\n\n\n### **How it works**\n\nChordio lets you work at the right planning fidelity. Go from a casual brainstorm to evaluating rough plan outlines, to an official release plan. When you’re done, export the work to Jira or your issue tracking tool of choice. - Integrations are coming soon.\n\nYou can create any number of planning boards where you can specify a focus for the sprint, list features, provide estimates, and assign to people. As you assign tasks you’ll see the capacity graph of individuals getting updated so you can protect people’s time and ensure an optimal sprint scope.\n\n![uploaded image](/media/?type=post&id=65037&key=user_uploads/1010497/68d67d7e-1ce9-4713-a9c9-9e4eaf8d69ed)\n\n\n### **Partner with us?**\n\nWe’re looking for design partners. That is, companies that will pilot Chordio’s next major release and provide early feedback to guide our roadmap. **If you’re running multiple projects and interested in improving upfront planning, and ongoing visibility into teams’ work at any level, let’s talk.** Here’s a [Calendly link](https://calendly.com/ehud-chordio/design-partnership) to book some time.",
        "url": "https://www.ycombinator.com/launches/Guz-chordio-lightweight-sprint-planner-for-remote-development-teams",
        "votes": 22,
        "created_at": "2022-08-01T07:05:06.639Z"
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    "name": "Denormalized",
    "slug": "denormalized",
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    "website": "https://www.denormalized.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Denormalized is a serverless real-time data platform that allows users to query data quickly while eliminating the need to manage complex infrastructure. It enhances developer productivity by automating schema inference from sample data and simplifying data stream creation allowing engineers to go from idea to production fast. Denormalized supports SQL for data transformations without needing complex stream processing systems like Flink.",
    "one_liner": "serverless platform for real-time data",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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        "full_name": "Amey Chaugule",
        "title": "Founder",
        "founder_bio": "Spent 10+ years working at the intersection of ML & Data Infra.\n\nWorking on Uber's Marketplace Dynamics 2016-2020 was an honour of a lifetime. I can nerd out about pricing algorithms and marketplace optimizations till kingdom come.",
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        "user_id": 9674,
        "full_name": "Matt Green",
        "title": "Founder",
        "founder_bio": "Data things.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/mgreen9",
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        "id": 64973,
        "title": "Probably Nothing Labs - Databricks for Web3",
        "tagline": "Real-time Indexer-as-a-Service to help Web3 teams power data backends for their apps in days",
        "body": "**🤔 The Problem**\n\nIndexing public blockchains is a major pain!\n\nEngineers need to build resilient poll loops around chain specific validators that request, parse, and track raw blocks, transactions and event logs as they arrive. This work requires in-depth knowledge of specific protocols, smart contract ABIs, and stateful stream processing (not to mention handling chain re-org or tracking the mempool). All of this work just to build a backend for your Uniswap position tracking dashboard or that Instagram for NFTs app.\n\nNevermind having to build systems to monitor individual positions for collateral drops in DeFi lending protocols. \n\n**🤌 Our Solution**\n\nWe built **Gigabrain**, a best-in-class blockchain indexer with support for Ethereum and Solana. Using advanced stateful streaming techniques, Gigabrain is able to parse, index, and store transactions within seconds of blocks being confirmed. In addition, we’ve created a versioned registry of all smart contracts on Ethereum as well its L2s.\n\nWith Gigabrain you can —\n\n* Run **complex stateful aggregations** for **on-chain events** as soon as - or before - they show up on the blockchain.\n* Never have to worry about keeping track of contract specific ABIs with our **Smart Contract Registry**.\n* **Run live SQL** against the **Ethereum mempool** (we use a globally distributed set of nodes that we manage ourselves).\n* Run **large scale analytics** against our datalake as well as **power robust data backends** for your own Web3 apps.\n\n[🎬](https://emojipedia.org/clapper-board/) **The Demo**\n\nCheck out our [short demo on Loom](https://www.loom.com/share/d4784d7e2a9f4503bd2beab5e070e840).\n\n**📞 Our Ask**\n\nIf you or anyone else in your network -\n\n* Need to work with on-chain data at scale or in real-time\n* Parse a wide array of smart contract specific on-chain events\n* Have the need to build sophisticated on-chain monitoring solutions for DeFi protocols or NFT Marketplaces\n\nPlease get in touch with us!\n\n**Amey**: [amey@probablynothinglabs.xyz](mailto:amey@probablynothinglabs.xyz) , **Telegram**: @ambrood, **Discord**: ambrood#9366\n\n**Matt**: [matt@probablynothinglabs.xyz](mailto:matt@probablynothinglabs.xyz), **Telegram**: @mgreenn, **Discord**: mattt#2076",
        "url": "https://www.ycombinator.com/launches/Gtx-probably-nothing-labs-databricks-for-web3",
        "votes": 18,
        "created_at": "2022-07-28T14:40:55.685Z"
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    "id": 26666,
    "name": "Airtrain AI",
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    "website": "https://airtrain.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Airtrain AI is a no-code data platform for Large Language Models.\r\n\r\nProprietary AI models such as GPT-4 are very powerful but also very costly, slow, unreliable, and unsecured.\r\n\r\nAs businesses look to scale their AI prototypes into production-grade products, they struggle with large AI bills, slow APIs and large failure rates.\r\nOn the other hand, smaller language models have been proven to be able to perform on-part with large ones with fine-tuned on high-quality datasets.\r\n\r\nAirtrain AI lets AI practitioners explore alternatives to proprietary models, build up training datasets, evaluate, fine-tune, and serve a large selection of open-source LLMs.",
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    "team_size": 5,
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      "name": "Nicolas Dessaigne",
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        "user_id": 1014902,
        "full_name": "Emmanuel Turlay",
        "title": "Founder",
        "founder_bio": "Hi, I am Emmanuel.\n\nI spent my foundational years in academia (particle physics research at CERN) then branched out into tech. I built the order and payment infrastructure at Instacart, and lead ML platform at Cruise.\n\nI am the CEO and co-founder of Sematic (S22).\n\nReach out and say hello.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/emmanuelturlay/",
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      {
        "title": "Sematic Blog – Sematic Raises $3M to Build an Open-Source Continuous Machine Learning Platform",
        "url": "https://www.sematic.dev/blog/sematic-raises-3m-to-build-an-open-source-continuous-machine-learning-platform",
        "date": "Nov 17, 2022"
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    "launches": [
      {
        "id": 64701,
        "title": "Sematic – Prototype-to-production ML in days not weeks",
        "tagline": "Build and productionize arbitrary end-to-end ML/DS pipelines with only Python in a few hours.",
        "body": "**TL;DR –** [**Sematic**](https://sematic.dev) **is an** [**open-source**](https://github.com/sematic-ai/sematic) **framework to build and run arbitrary end-to-end ML/DS pipelines developed by two ex-Cruisers.**\n\nWhen COVID hit and restaurant parklets popped up around San Francisco, the Cruise robotaxis needed to update their ML models in a matter of days.\n\nThis fast turnaround in data processing > model training > evaluation > simulation > metrics generation > deployment was enabled by talented ML Engineers using **state-of-the-art pipelining tools**.\n\n## Your problem\n\nIf you are an **ML/DS developer** 🧑‍💻, you likely spend a lot of time battling obscure infrastructure instead of leveraging your core competency: extracting insights and predictions from data.\n\nIf you are a **business leader** 🧑‍💼, you likely want more models to grow and optimize your business; and retrain them frequently to adapt to ever-changing world conditions (hello COVID!).\n\nExisting solutions (e.g. Kubeflow, Argo, Airflow, Prefect) are still too low-level and not usable by ML/DS developers.\n\nTools such as Ruby on Rails and Heroku enabled generations of web developers to build prototypes into unicorns. **Where is that experience for ML/DS development?**\n\n## Our solution\n\n[Sematic Beta Launch Demo](https://www.youtube.com/watch?v=G0Hj0T-bbiY)\n\n[Sematic](https://sematic.dev/) is **a lightweight** [**open-source**](https://github.com/sematic-ai/sematic) **ML/DS pipeline development and execution framework based on learnings from working at Cruise**.\n\nWith easy-as-pie onboarding, simply **use native Python** to develop and run arbitrary end-to-end pipelines that track and version all your assets and artifacts (models, datasets, plots, metrics, etc.), and visualize them in a slick UI.\n\nRun locally or **leverage your cloud resources** (GPUs!!) seamlessly without infrastructure work.\n\n**Collaborate with your team** in Sematic to keep the conversation close to the data context.\n\n**Sematic aims to facilitate the journey from Notebook prototypes to automated production-grade pipelines.**\n\n## Our ask\n\n⭐ [Star our Github repo](https://github.com/sematic-ai/sematic)\n\nTry us out:\n\n```\n$ pip install sematic\n$ sematic start\n```\n\nJoin our [Discord](https://discord.gg/4KZJ6kYVax) **and give us your feedback to make the product more useful to you and your company**.\n\n## Early Bird offer\n\nWe offer a white-glove onboarding service and dedicated support to build out your end-to-end pipelines.\n\n[Try us out](https://sematic.dev/), reach out on [Discord](https://discord.gg/4KZJ6kYVax), or email us at [emmanuel@sematic.dev](mailto:emmanuel@sematic.dev).",
        "url": "https://www.ycombinator.com/launches/GpZ-sematic-prototype-to-production-ml-in-days-not-weeks",
        "votes": 27,
        "created_at": "2022-07-18T17:06:21.384Z"
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    "name": "Elessar",
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    "all_locations": "San Francisco, CA, USA; Palo Alto, CA, USA",
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    "url": "https://www.ycombinator.com/companies/elessar",
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      "name": "Brad Flora",
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        "user_id": 949128,
        "full_name": "Utkarsh Tandon",
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        "linkedin_url": "https://www.linkedin.com/in/utkarshtandon/",
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      {
        "id": 74356,
        "title": "Elessar — Automatic engineering documentation and reporting with LLMs",
        "tagline": "The all-in-one engineering visibility solution powered by AI. Seamlessly integrated in your tools.",
        "body": "Hey YC!\n\nSuper excited to share [Elessar](https://www.getelessar.com/) — automatic documentation and reporting for engineering teams. Elessar boosts engineering productivity by integrating with your existing ecosystem of tools to automatically generate changelogs, streamline communications, and provide AI-powered reporting to engineers & managers. \n\n**Problem**\n\n* As an engineer, documenting code changes is tedious & staying up to date with changes made by other team members is time consuming. As a result, development ends up operating mostly in silos, where context is often lost or is difficult to access.\n* As a manager, these silos make it difficult to understand time spend, efficiently allocate resources, unblock engineers, and act on trends early.\n\nLLMs can help. Meet Elessar — **the all-in-one engineering visibility solution powered by AI:**\n\n![uploaded image](/media/?type=post&id=74356&key=user_uploads/949128/12967594-e725-47fb-b89f-6d8ca703bc11)\n\n**Features**\n\n* Automatic changelogs for PRs in GitHub (captures function modifications etc. for all files changed)\n* Automatic documentation & weekly reports in Notion (weekly progress made easily accessible)\n* Two-way sync temporary channels per PR in Slack w/ AI summaries, statuses, and reporting (reduces context-switching)\n* VS Code extension that brings changelogs into the editor (reduces time spent searching diffs)\n* Daily email digests for engineers (stay up to date effortlessly)\n* Daily email digests for managers (manage better with AI insights)\n* Leaderboards, integrated Linear issues, & more\n\n_Coming Soon_\n\n* Branch progress\n* GitLab, JIRA, and Confluence integrations\n\n**Ask**\n\nEarly users are really loving the platform. Get your company started [here](https://app.getelessar.com/register). Only takes a couple minutes to setup! First month is free & YC companies receive 20% off all pricing tiers.\n\nReach out at [founders@getelessar.com](mailto:founders@getelessar.com) or visit [getelessar.com](http://getelessar.com) if you’d like to book a demo!",
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        "votes": 9,
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        "full_name": "Dayton Thorpe",
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    "id": 26670,
    "name": "Julius",
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    "website": "https://julius.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Julius is an AI workspace that turns ideas and data into finished work. Analyze spreadsheets and files with AI data analysis, turn research and insights into editable slides with the AI presentation maker, or bring ideas to life with the AI website builder, all in one interface.",
    "one_liner": "Build and analyze things with AI",
    "team_size": 10,
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        "full_name": "Rahul Sonwalkar",
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        "id": 76881,
        "title": "Growth Marketing Manager",
        "url": "https://www.ycombinator.com/companies/julius/jobs/1pKwFDg-growth-marketing-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
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      {
        "id": 93231,
        "title": "Software Engineer - Infrastructure (Mid - Senior)",
        "url": "https://www.ycombinator.com/companies/julius/jobs/8tpSLnb-software-engineer-infrastructure-mid-senior",
        "location": "San Francisco, CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
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        "experience": "3+ years",
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      },
      {
        "id": 93233,
        "title": "Software Engineer - Product (Mid to Senior)",
        "url": "https://www.ycombinator.com/companies/julius/jobs/fBEKQtW-software-engineer-product-mid-to-senior",
        "location": "San Francisco, CA",
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        "id": 93234,
        "title": "Software Engineer - Product (New Grad)",
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        "location": "San Francisco, CA",
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    "id": 26671,
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    "all_locations": "San Francisco, CA, USA",
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        "type": "Full-time",
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        "id": 90130,
        "title": "Ciro - A Prospecting Autopilot for Sales 🚀",
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        "body": "**TL;DR:** Ciro’s new Prospecting Autopilot uses AI to build the perfect prospect list — so you don’t have to.\n\n![uploaded image](/media/?type=post&id=90130&key=user_uploads/503100/6de1c5c1-df62-43ec-8866-ae15b658be32)\n\nAfter much tinkering, we built the sales tool we always wanted — an AI agent that can build your lead list for you.\n\n### **Here’s how it works:**\n\n* **First, Ciro scans your website** to learn about your Ideal Customer Profile and the products you sell\n* **Then, it agentically tests multiple search strategies** (combinations of job titles, geography / headcount filters, industries, vector vs. keyword search over the universe of companies) to determine the best way to surface prospects within a universe of 500m+ profiles\n* **Next, it performs the best-performing search**, reviews each profile, and scores them individually to ensure fit with your Ideal Customer Profile\n* **Finally, it enriches contacts with verified emails & mobile numbers** from 15+ sources and dedupes/pushes relevant contacts to your CRM in one click\n\n### **Why we built Autopilot**\n\n* Founders & sales reps need a repeatable way to find decision-makers, without taking hours every day\n* Contractors and virtual assistants cost $$ and can’t keep pace with shifting ICPs\n* Users told us they wanted one button that _thinks_ through the search—and then just does it\n* 👉 Our vision is friction-free prospecting from “Who should I target?” to “Meeting booked” — and we think Ciro Autopilot is a big step toward that future\n\n### **Try it out**\n\n* Create your account on [Ciro](https://ciro.io)\n* Tell us in chat that you came from Launch YC — we’ll send you a bunch of bonus credits to get started!\n\n![uploaded image](/media/?type=post&id=90130&key=user_uploads/503100/c93a8653-90e1-4d70-98c6-d98c6bafdb60)\n\n",
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        "body": "**TL;DR** — LinkedIn has the best data for B2B sales but **zero automation**. Founders and sales reps waste TONS of time manually searching, qualifying, and engaging leads on the platform.\n\nCiro makes prospecting on LinkedIn 10x easier:\n\n* **Ciro Autopilot** scans profiles (in Sales Navigator), qualifies them against your ideal customer profile, and builds a ready-to-contact list in minutes\n* **Ciro Enrich** instantly reveals phone numbers and emails on profiles — whether you’re on a free or paid LinkedIn account (from our network of 13 high-quality data providers)\n\n[Here’s a video](https://youtu.be/z0dYm46MfsM) of me using Ciro & watching Netflix with Ciro’s CEO, Richard.\n\n### **The Problem:**\n\n1. **A huge time commitment.** Sales reps (and Founders!) lose hours each week sifting through Sales Navigator searches, poking around profiles for the right fit\n2. **Hard to filter out unqualified leads.** A great title alone doesn’t always mean they’re a great prospect — context matters, and double checking is a chore\n3. **Zero contact info.** You’ll find the perfect lead, then pay for yet another tool just to get their email or phone\n4. **Expensive integrations + data providers.** Connecting to LinkedIn so you can push to CRM? That’s $1600 annually, per seat. A license to Zoominfo? $10k a year. It adds up!\n\n### **Why We Built Ciro**\n\nLike many YC companies, Ciro’s customers operate on lean budgets but expect high quality output from their sales teams. The only way to bridge that gap is to arm them with great tools. We saw a few common problems:\n\n* **Bottlenecks** **form** when companies rely on humans to parse information — revenue growth is gated on executing manual, repetitive tasks\n* **Many products do too little** (simple browser extensions) or **require** **complicated orchestration** that takes forever to set up\n* **Finding great contact data** is expensive and usually requires several additional subscriptions\n\n### **Our Ask (Try It!) + How It Works**\n\n_(for LinkedIn Sales Navigator subscribers)_\n\n1. **Install** [**Ciro**](https://app.ciro.io/)\n2. Edit the AI-generated Persona & Sales Navigator filters\n3. Click Run! Watch the magic 🪄\n4. Review contacts & enrich with emails + phone numbers\n5. Push contacts directly to your CRM or download CSV\n\nWe’re excited to see how much you’ll accomplish with Ciro Autopilot at your side — and how many more deals you close!\n\n![uploaded image](/media/?type=post&id=87107&key=user_uploads/928465/b390a939-694c-48b6-8276-6a7cf8e1e96d)\n\n",
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        "body": "### **What’s the Problem?**\n\nIf you run a business selling to an SMB vertical, you’ve probably found it **impossible to** **find rich data on the prospects in your market…** and that existing data solutions are rife with missing records, infrequent updates, and incorrect contact information.\n\n### **What’s the Solution?**\n\nCiro handles prospect list building so you don’t have to.\n\n![uploaded image](/media/?type=post&id=64232&key=user_uploads/928465/3ca9d271-95f9-45da-80ce-a085a8052544)\n\nOur solution combines hundreds of vertical-specific web crawlers that run every day, plus a data ingestion engine that joins dozens of public and proprietary data sources. Through these tools we provide our customers with a complete prospect database, plus vertical-specific “signals” to focus their outreach.\n\nExamples of these “signals” include:\n\n* Changes to a prospect’s **tech stack** (e.g. a doctor’s office uninstalls ZocDoc)\n* **New company formation** (e.g. a newly-registered construction license)\n* **Ownership changes** (e.g. change-of-control updates to company reporting docs)",
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        "title": "Dialect – Copilot for vendor questionnaires",
        "tagline": "Respond to RFPs and security questionnaires much more efficiently",
        "body": "Hey everyone! We’re [James](https://www.linkedin.com/in/james-thomas-b713b15/), [Tony](https://www.linkedin.com/in/tonyginart/), and [Tejas](https://www.linkedin.com/in/tejassundaresan/) from [Dialect](https://www.ycombinator.com/companies/dialect-2).\n\n**_TL;DR_** [_Dialect_](https://www.usedialect.com/) is an AI copilot that auto-drafts responses to vendor questionnaires. Using generative AI grounded in your best content, we help you respond to RFPs and security questionnaires in a fraction of the time.\n\n### **The problem**\n\nCompanies today face customer questionnaires in all shapes, sizes, and formats. Security questionnaires, DDQs, and RFPs are critical gates within the sales process. Companies want to put their best foot forward and [map their solutions to customer requirements](https://blog.hubspot.com/sales/solution-selling). \n\nHowever, doing so can take **days** of rote copying & pasting, searching through old documents, and answering the same question over and over again.\n\n* **Every questionnaire comes in different formats** (sheets, docs, webforms) and every question is worded differently than before – making it time-consuming to port past answers into new questionnaires.\n* Finding the right answer to a question could **require searching across potentially dozens of files**, scanning question banks with thousands of entries, and involving multiple team members.\n\n### **Our solution**\n\n[Dialect](https://www.usedialect.com/) is a copilot that auto-drafts any vendor questionnaire. Our browser extension sits directly within your editors of choice, such as Google Sheets and Docs, and cuts the time needed to complete a questionnaire by >80%. Just highlight what you’re trying to complete, and Dialect will handle the rest!\n\n![uploaded image](/media/?type=post&id=75836&key=user_uploads/730164/8b0b73ae-26ff-4f45-8bb1-336fea7bcd22)\n\n![uploaded image](/media/?type=post&id=75836&key=user_uploads/730164/46868b14-14ae-46e1-9778-6779eb13a58b)\n\nDialect is fully grounded in the best of your enterprise content. It integrates natively with content sources like help centers, security reports, and website copy. Any answer produced has direct references to sections of reports, documents, and other resources so you can easily verify responses generated by Dialect.\n\n![uploaded image](/media/?type=post&id=75836&key=user_uploads/730164/650717a0-7f6c-496e-9e7e-b52bbbb415b4)\n\n**How does this help?** With Dialect, sales engineering and field security teams now get a first draft of every RFP or security questionnaire **_within minutes._** Dialect saves hours or even days worth of time, enabling them to spend more time with customers, investing in compliance, and ultimately growing revenue. \n\n**Our story**\n\nWe’ve been longtime friends since college and grad school. We came together to build a company around our shared passion for AI products. Before working on Dialect, James did a PhD at Stanford on data systems, Tony did a PhD at Stanford in machine learning, and Tejas worked on ML-driven products as an engineer and PM at Google Research.\n\n### **Our ask: please try it out!**\n\nDialect works directly within your existing document workflows, and can be self-served for your upcoming questionnaires. Your first questionnaire is on us with our **free starter plan**! \n\nWe’re already deployed at several fast-growing companies today, and we’d be thrilled to work with you and help with other customer inquiries you may have.\n\nPlease create an account at [usedialect.com](http://www.usedialect.com) to get started, and [contact us](http://usedialect.com/contact) with any questions, feedback, or for a custom plan! ",
        "url": "https://www.ycombinator.com/launches/JjA-dialect-copilot-for-vendor-questionnaires",
        "votes": 21,
        "created_at": "2023-10-27T18:01:40.042Z"
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    "one_liner": "Sell more. Grind less with AI agents.",
    "team_size": 23,
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        "full_name": "Gaurav Aggarwal",
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      {
        "user_id": 374275,
        "full_name": "Anuja Verma",
        "title": "Founder",
        "founder_bio": "Anuja is passionate about making humans more efficient, and AI Agents are an instrument for achieving that. At Truva, she is helping businesses achieve new heights in operational efficiencies. Prior to that, she was a veteran technical leader at Amazon, where she solved deep technical problems across Transaction and Risk Management, Alexa, and AWS organizations for about a decade. She has an MBA from Haas School of Business, the University of California Berkeley.",
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    "news": [
      {
        "title": "CRM Giant Taps YC-Backed Startup to Accelerate Next-gen AI platform | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/news-and-trends/crm-giant-taps-yc-backed-startup-to-accelerate-next-gen-ai/494628",
        "date": "Jul 15, 2025"
      },
      {
        "title": "AI Agents Startup Secures $4M to Revolutionize Customer Onboarding & Retention | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/growth-strategies/ai-agents-startup-secures-4m-to-revolutionize-customer/474513",
        "date": "May 22, 2024"
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        "id": 85127,
        "title": "Truva - Sell more. Grind less with AI agents.",
        "tagline": "Truva handles the busywork intelligently saving your sales team hours each week, so they can focus on what matters most - building and closing deals.",
        "body": "**TL;DR:** Truva is a Sales AI Agents platform that takes care of the tedious tasks—like email follow-ups and CRM data entry—so your team can focus on what truly matters: selling more.\n\nHi everyone, we’re [Anuja](https://www.linkedin.com/in/anujaverma1/) and [Gaurav](https://www.linkedin.com/in/gaurava91/) from Truva AI, and we’re thrilled to introduce [Truva](https://truva.ai) to sales teams everywhere!\n\nSales reps spend hours on manual tasks like CRM updates, lead enrichment, and follow-ups. This time-consuming admin work leads to missed opportunities, inconsistent data, and inaccurate forecasts. Not only does it frustrate sales teams, but it also stalls revenue growth.\n\n![uploaded image](/media/?type=post&id=85127&key=user_uploads/331716/987d62fa-4a6a-41db-b85b-95790f8a4b51)\n\n**The Solution**_:_ Truva is a Sales AI agents platform that takes over the repetitive CRM tasks your team doesn’t want to handle. With Truva, you get an AI-driven platform that captures, organizes, and updates CRM data seamlessly. Covering everything from online meetings and emails to voice notes, Truva ensures every important detail is accounted for, letting you stay focused on selling. Here’s how Truva can transform your sales workflow:\n\nCheckout Truva: <https://youtu.be/AtMIYPJOZ00>\n\n* **Comprehensive Sales Activity Tracking-** Truva automatically tracks every interaction—from online meetings and in-person conversations to emails and voice memos—extracting key insights aligned with both custom and standard sales frameworks. It has your sales conversations covered, hassle-free.\n* **Always-On CRM Updates-** Truva keeps your CRM structured, accurate, and up-to-date in real time. Say goodbye to manual data entry; instead, rely on an updated CRM you can trust.\n* **AI-Powered Follow-Ups, Right on Time-** Truva identifies critical next steps and drafts personalized follow-up emails based on meeting details, ensuring no opportunity slips through. Follow-ups are timely, relevant, and automatic.\n* **Advanced Sales Analytics & Insights-** Gain actionable insights: Truva analyzes prospect sentiment, engagement, and communication patterns, providing the data you need to refine your pitch and boost conversion rates.\n* **Real-Time Alerts & Customizable Data Fields-** Stay on top of every conversation with real-time notifications, automated task creation, and customizable data mapping to the CRM fields that matter most.\n\n**And this is just the beginning…**\n\n**The Vision: A Sales Sidekick for Every Rep** 🦸‍♂️🦸‍♀️ Our long-term goal is for Truva to be the AI “Sidekick” to your sales “Superhero.” Acting as an orchestration layer across all your tools, Truva automates the busywork, so you can focus on closing deals and driving growth.",
        "url": "https://www.ycombinator.com/launches/M91-truva-sell-more-grind-less-with-ai-agents",
        "votes": 459,
        "created_at": "2024-10-29T17:31:28.285Z"
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    "id": 26693,
    "name": "SigmaMind AI",
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    "website": "https://sigmamind.ai?utm_source=yc&utm_medium=web",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "SigmaMind AI is a platform for building voice AI agents purpose-built for call centers. Our agents make and answer calls for lead generation, appointment setting, follow-ups, collections, customer intake, and basic support. Instead of replacing the phone systems a center already uses, we connect on top of them. Because the AI handles many calls at once, a call center can reach far more people than a human team, lower its cost per lead, and stop wasting agent time on calls that go nowhere. Our customers are usually non-technical operators running centers with 25 or more agents, with the strongest traction in insurance, home services, solar, and lending.",
    "one_liner": "Voice AI platform purpose-built for contact centers.",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1653235676,
    "tags": [
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      "B2B",
      "Call Center",
      "AI",
      "Conversational AI"
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    "batch": "Summer 2022",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sigmamind-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/sigmamind-ai.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sigmamind-ai/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
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        "user_id": 513633,
        "full_name": "Ashish Agarwal",
        "title": "Founder",
        "founder_bio": "Co-Founder at SigmaMind AI- voice/chat AI platform for call-centers and enterprises \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/agarwalashish101/",
        "x_url": "https://twitter.com/_ashishagarwal_",
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      {
        "user_id": 1016312,
        "full_name": "Pratik Mundra",
        "title": "Founder",
        "founder_bio": "Co-founder at SigmaMind AI, Previously founded a Clean Energy business, Ex- Goldman Sachs",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/mundrapratik90/",
        "x_url": "https://twitter.com/mundrapratik90",
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      {
        "id": 76739,
        "title": "SigmaMind AI - Automate customer support with AI 🚀",
        "tagline": "We help e-commerce brands automate their customer support using AI",
        "body": "Hi, we are [Ashish](https://www.linkedin.com/in/agarwalashish101/) and [Pratik](http://www.linkedin.com/in/mundrapratik90/), founders of [**SigmaMind AI**](https://sigmamind.ai/?utm_source=yc&utm_medium=web) - an AI platform to automate customer support for brands and call-centers.\n\nWe came to work on this idea when we were ordering food from a food delivery service and had to wait almost 15 minutes to talk to an agent - leaving us frustrated. After talking to E-commerce companies, we realized the problems they faced and decided to find a solution.\n\n**Problem:** E-commerce brands are overwhelmed by the increasing volume of customer inquiries, leading to slow response times, frustrated customers, high support costs, and lost sales.\n\n* Limited support 🚫: Current support models lack 24/7 availability, causing missed inquiries and lost opportunities.\n* Delayed responses 🕐: Long wait times and inaccurate information frustrate customers and damage brand perception.\n* Inconsistent communication 😕 : New agent training leads to conflicting information and inconsistent brand messaging.\n* Inefficiency and High Cost: Agents waste time on basic questions, hindering their ability to solve complex issues and prevent problems.\n\n**Solution:** SigmaMind AI seamlessly integrates with your Shopify store and Gorgias to automatically resolve customer tickets, freeing up your human agents for more complex issues. Our powerful AI can:\n\n* Respond to frequently asked questions about products, orders, shipping, and returns.\n* Suggest personalized product recommendations based on individual customer preferences.\n* Create subscriptions on Recharge, cancel orders on Shopify, and tag tickets appropriately.\n* Close tickets automatically once the issue has been resolved.\n* Generate draft responses for human agents, saving them valuable time.\n* Learn from your Shopify store, past tickets, FAQs, and other data sources to ensure accurate and personalized support.\n\n**How does it work?**\n\n[Check out this short demo video](https://youtu.be/6RgqHcCJ5Ew?si=PuxtgQyPoGlIcsLm)\n\nSigmaMind AI works within helpdesk tools like Zendesk/Gorgias and needs to be linked to your Shopify store. It has 2 modes - Autopilot and Co-pilot.\n\n* In Autopilot mode, it will automatically send responses to customer tickets, take any action like creating a subscription on Recharge or cancel an order on Shopify, tag the ticket appropriately, and close it. You can set up this custom workflow on the SigmaMind AI dashboard.\n\n  ![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/baebbd2a-79a9-440e-b611-993d3d991f01)\n\n  ![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/4b56ceae-2b59-4be4-b472-7cd3685374c5)\n\n* In Co-pilot mode, AI will suggest response drafts for any incoming ticket which can be used by the support agent to send a response.\n\n  ![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/e2159a15-3bf2-4e93-a0c6-a313a26d82a5)\n\n\nYou can set up the AI brand voice and tone on the SigmaMind AI dashboard to customize the AI for your brand. This enables you you create a truly personalized AI for your brand.\n\n![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/a3932108-9752-4e73-89be-e49bf4b2ec85)\n\nIt integrates with other tools like Recharge, Loop Returns, and Skio as well. It tackles frequently asked questions about products, orders, shipping, and returns, freeing up your team for more complex issues. SigmaMind AI learns from your Shopify store, past tickets, FAQs, help docs, and other third-party systems, ensuring accurate and personalized support.\n\n**Our Ask**\n\n1. Refer any E-commerce brands, Shopify agencies, or Customer support managers in your network. Referral bonus 💰 for every lead converted. Email us at [hello@sigmamind.ai](mailto:founders@sigmamind.ai) to connect.\n2. If you own a Shopify store, please [book a demo](https://calendly.com/sigmaai/sigma-ai-demo-30-mins) with us to see SigmaMind AI in action. Special deal for YC companies! ❤️",
        "url": "https://www.ycombinator.com/launches/Jxj-sigmamind-ai-automate-customer-support-with-ai",
        "votes": 12,
        "created_at": "2023-12-07T17:16:27.387Z"
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  {
    "id": 26703,
    "name": "Versa",
    "slug": "versa",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/590fc99f3c68b1005a624179c505ab56706fd799.png",
    "website": "https://versa.org",
    "all_locations": "New York City, NY, USA; New York, NY, USA",
    "long_description": "Versa is a merchant-owned network, through which merchants securely send purchase details to buyers. You'll automate government-mandated receipt capture, reduce chargebacks, and grow sales.",
    "one_liner": "Smart receipts for your business spend",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1656108076,
    "tags": [
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    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/versa-protocol/",
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    "cb_url": "https://www.crunchbase.com/organization/bend-ec13",
    "github_url": "https://github.com/versa-protocol",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 8725,
        "full_name": "Ted Power",
        "title": "Founder",
        "founder_bio": "Co-founder of Versa (S22), former co-founder of Abacus (W14), formerly Google, Venmo, Foursquare",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tedpower/",
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      {
        "user_id": 1013210,
        "full_name": "Thomas Moore",
        "title": "Founder",
        "founder_bio": "Co-founder of Versa (S22), formerly engineering @ Abacus — Brooklyn resident, grown in Redmond",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thomasmost",
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    "news": [
      {
        "title": "How a new class of climate startups could get a boost from the SEC | TechCrunch",
        "url": "https://techcrunch.com/2024/03/05/sec-climate-rule-startup-benefits/",
        "date": "Mar 05, 2024"
      },
      {
        "title": "Bend offers carbon offsets to combat corporate spend | TechCrunch",
        "url": "https://techcrunch.com/2023/05/03/bend-carbon-offset-corporate-spend/",
        "date": "May 03, 2023"
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    ],
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      {
        "id": 82606,
        "title": "Versa: Smart B2B receipts",
        "tagline": "Your customers' expense management on auto-pilot",
        "body": "**tl;dr:** B2B companies use [Versa](https://versa.org/) to automatically sync sales receipts into your customers’ expense management system. For free. Happier corporate customers == more corporate business for your startup.\n\n### The problem\n\nBig companies need receipts for everything they buy (every SaaS bill, every hotel folio, every Uber, every coffee). Because:\n\n* The IRS requires receipts for every transaction over $75.\n* They need the itemized details to enforce their expense policies.\n* In Europe, companies can reclaim 20% of their spend (VAT)... but only if they have receipts.\n\n![uploaded image](/media/?type=post&id=82606&key=user_uploads/8725/eda8dbb3-503a-46c5-bda3-b8c4b5689350)\n\nBut despite this need, no system exists to aggregate this data. Finance teams rely on employees to photograph paper receipts, or forward emailed receipts to their expense management / AP systems. This creates a bunch of employee busywork, and compliance is still far below 100%. \n\nGreat tools like Brex streamline every other part of expense management, but not receipts.\n\n### Beautiful receipts, synced directly into your business customers’ expense management system. For free.\n\n![uploaded image](/media/?type=post&id=82606&key=user_uploads/8725/316a25c6-32cd-4bf9-b597-be017d34a872)\n\nWe built Versa to eliminate this manual process. Your encrypted receipt data is passed directly to your buyers. \n\nWe currently have several customers (including many YC companies) using it.\n\n### Do you use Stripe for billing?\n\nIf so, we have a founder request. We just launched a Stripe app that lets you try out Versa with just a couple of clicks: <https://marketplace.stripe.com/apps/versa>\n\nPlease test it out! It’s completely free, and for most people, it takes < 5min. Having more merchants on Versa helps us tremendously. \n\nLet us know if you have any feedback, or if we can return the favor. ",
        "url": "https://www.ycombinator.com/launches/LUM-versa-smart-b2b-receipts",
        "votes": 7,
        "created_at": "2024-07-31T15:33:18.722Z"
      },
      {
        "id": 71112,
        "title": "Bend - A corporate card built for climate-friendly businesses ($100 to try it)",
        "tagline": "Earn 4% yield on deposits and carbon removal rewards on your everyday card purchases. Free carbon accounting included.",
        "body": "TL;DR - Just by shifting some of your company spending to Bend, you’ll be helping to reduce climate-changing emissions, thanks to the carbon removal rewards you’ll automatically earn, and our embedded climate analytics.\n\n![uploaded image](/media/?type=post&id=71112&key=user_uploads/8725/dd74d8ed-b20a-4977-bd01-bdf196ce6ceb)\n\n### **How it works:**\n\n* Bend is a modern card and cash account, combined with free carbon accounting and climate rewards\n* Bend works similarly to how you’d use a business bank account. Send and receive ACH and wires, earn 4% yield on deposits, issue physical and virtual cards with budgets, etc.\n* Carbon accounting typically runs companies $40k/year and up. We make money off the card interchange (same as any bank), enabling us to offer the carbon accounting for free, and pass through carbon removal rewards.\n* The way we actually do the carbon accounting is laid out here — we always return a confidence score with every CO2e assessment: <https://usebend.com/how-it-works>\n* We have awesome customers like Harmonic AI (<https://bend.green/harmonic>) and Fathom (<https://bend.green/fathom>). If you choose, you can create a report of your climate action through Bend like these ones, which you can share with customers, employees, investors, etc.\n\n![uploaded image](/media/?type=post&id=71112&key=user_uploads/8725/b8c15c5e-5e61-4646-b46d-b6480ff4ece1)\n\n### **Why tracking and reducing climate-changing emissions is worthwhile:**\n\n* It’s good for the planet (and free!)\n* It will help you sell your products to B2C customers who care about the climate, and B2B customers who have set net zero goals (64% of global market cap companies now report on climate data, and are increasingly asking their suppliers to do the same)\n\n### **How we got here:**\n\nWe [launched Bend](https://news.ycombinator.com/item?id=32166140) last summer as an API. We’re now launching cards directly, because we’re able to offer the functionality for free, and it’s easier for startups to try it out. Prior to Bend, Thomas and I worked at [Abacus](https://bookface.ycombinator.com/company/572), where I was one of the co-founders — our background is in fintech, and our goal is to layer in climate insights on top of your financial stack.\n\nWe’d love it if you tried Bend out!",
        "url": "https://www.ycombinator.com/launches/IUy-bend-a-corporate-card-built-for-climate-friendly-businesses-100-to-try-it",
        "votes": 30,
        "created_at": "2023-04-21T13:57:22.372Z"
      },
      {
        "id": 64027,
        "title": "Bend ⚡ 1-click Carbon Accounting",
        "tagline": "Bend helps you close sales as a sustainable business",
        "body": "At Bend, we help companies develop an **affordable**, **automated**, and **credible** path to net zero using your spend data. And we help fintech companies **embed** sustainability into b2b tools.\n\n![uploaded image](/media/?type=post&id=64027&key=user_uploads/8725/de981465-da6b-4888-b0cd-3df01f8cdce6)\n\nThomas and I found our way to this project via our background in fintech. Prior to Bend, we worked together at Abacus (W14), a real time expense management company that I cofounded in 2014, serving small businesses. At Abacus, we noticed a pattern: finance teams are increasingly paying attention to the climate impact of their purchase decisions, from travel policies, to cloud hosting, and beyond. And better tooling and data is needed to drive pragmatic, effective climate action. \n\n### **From zero to net zero in 5 minutes**\n\nHere’s how Bend works:\n\n* Bend converts spend data into CO2e data.\n* For example: imagine a $1,000 bill from Atlassian. Bend aggregates corporate emissions disclosures; we know that for every $1,000 spent with Atlassian, there’s a 30.2 kg footprint.\n* For long-tail merchants, we have merchant category fallbacks, so you’re always guaranteed 100% coverage (e.g. for Starbucks, we use the Starbucks factor, for a mom-and-pop coffee shop, we use a benchmark ‘coffee shop’ factor).\n* Our methodology is developed and vetted by climate science PhDs (degrees from MIT, Columbia, etc.), and our team has years of fintech experience (Abacus, Emburse, Google, Venmo).\n* Once armed with a complete picture of your emissions, you can choose a course of action — you might consider switching to lower-carbon-intensity vendors, offsetting your remaining emissions, and then **closing sales as a sustainable business** (we can help!).\n\n![uploaded image](/media/?type=post&id=64027&key=user_uploads/8725/339c2757-2d8e-4721-9bdc-d3b996b98c44)\n\n### **Why now**\n\n* Companies (e.g. Salesforce, Apple, Walmart) now require their suppliers to measure emissions and set reductions targets. Bend can help you sell to these customers.\n* The SEC is expected to roll out new climate data disclosure requirements this year, applying to public companies, with downstream impacts.\n* Your company has a surprising amount of leverage to accelerate decarbonization. It’s a great thing to be a part of, and has positive brand benefits for your startup.\n\n### **Our ask**\n\nTry Bend out! [**app.bend.green/sign-up**](http://app.bend.green/sign-up)\n\nAnd if you think we might be able to work together — [schedule time with us](https://calendly.com/ted-bend/30min)",
        "url": "https://www.ycombinator.com/launches/Geh-bend-1-click-carbon-accounting",
        "votes": 60,
        "created_at": "2022-06-23T19:47:32.624Z"
      }
    ]
  },
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    "id": 26705,
    "name": "Stackup",
    "slug": "stackup",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38fd40d4e57e1156a5bd35a1847bcef93e0e3b85.png",
    "website": "https://www.stackup.fi",
    "all_locations": "Los Angeles, CA, USA; Remote",
    "long_description": "Stackup is transforming how businesses manage their on-chain operations by offering a smart account platform designed to simplify and automate complex blockchain tasks. As the need for seamless, secure, and efficient crypto transactions grows, Stackup provides centralized control over decentralized assets, allowing businesses to take charge of every detail of their operations with ease. Our platform integrates advanced security and adaptive features to eliminate the chaos of traditional crypto wallets, empowering businesses to manage their crypto stack in real-time. Whether you’re orchestrating large-scale transactions or ensuring complete transparency, Stackup’s solution brings order and precision to blockchain management—turning crypto chaos into structured, seamless business flow.",
    "one_liner": "Stackup helps businesses manage their crypto assets.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1653642506,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Crypto / Web3",
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        "title": "Superpowered AI - API for Retrieval Augmented Generation 🌐",
        "tagline": "Superpowered makes it easy to build production-ready LLM applications with access to external knowledge.",
        "body": "### TLDR\n\nWe’re excited to announce the release of The SuperStack alongside our new Chat endpoint. Now, you can easily deploy conversational LLM applications with knowledge retrieval built-in. Our SuperStack suite of technologies directly targets common RAG failure modes, like hallucinations caused by out-of-context search results. Dive in and test it using our [Playground](https://superpowered.ai/), [Python SDK](https://github.com/SuperpoweredAI/superpowered-python-sdk), or [clone these examples](https://github.com/SuperpoweredAI/superpowered-examples).\n\n### Problem 🤔\n\nMany uses for LLMs, including most customer support and employee productivity applications, require effectively connecting LLMs to external knowledge sources. Doing this well is very hard. Current retrieval augmented generation (RAG) methods just take existing information retrieval methods and stuff the results into an LLM prompt. This works for simple demos, but usually isn’t reliable enough for real-world production applications.\n\n### Solution 🧠\n\nSuperpowered AI offers a simple API that lets you connect external data sources (like product documentation, for example) to LLMs. We leverage proprietary RAG technology we’ve developed (we call it the [SuperStack](https://superpowered.ai/blog/the-superstack)) to dramatically improve performance and reliability for a wide variety of use cases.\n\n![uploaded image](/media/?type=post&id=76118&key=user_uploads/733585/063e897c-eaa8-4a3a-874c-f0bad5249909)\n\nOur solution is end-to-end, so you don’t have to worry about stringing together different APIs for different parts of the retrieval and generation pipeline. Here are some key features:\n\n* Support for uploading various types of text files, PDFs, website content, and audio files\n* 94 languages supported\n* Use our knowledge retrieval pipeline on its own with our Query endpoint, or take advantage of our Chat endpoint for a fully end-to-end solution for building conversational applications connected to external knowledge sources.\n* Usage-based pricing, so you only pay for what you use, and $50 in free credits to all new users!\n\n### The SuperStack 🦸\n\nThe SuperStack has three components that directly tackle the problems with standard RAG pipelines:\n\n[**AutoQuery**](https://superpowered.ai/blog/introducing-auto-query) → Convert user inputs into well-formed search queries for better retrieval results.\n\n[**Relevant Segment Extraction (RSE)**](https://superpowered.ai/blog/introducing-relevant-segment-extraction) → Dynamically group clusters of relevant results into longer sections of contiguous text to provide better context to the LLM. This is especially useful for more complex questions, where the answer isn’t contained in a single sentence or paragraph.\n\n[**AutoContext**](https://superpowered.ai/blog/introducing-auto-context) → Automatically inject descriptive context into text chunks and embeddings, to capture the full context of each chunk of text, reducing the likelihood of poor search results and hallucinations.\n\n### Chat Endpoint 💬\n\nGiven that LLM applications often involve conversational interactions, we recently launched our Chat endpoint to make it easy to configure and deploy chat applications that utilize our knowledge retrieval pipeline. We currently support GPT-3.5-Turbo and GPT-4, with more models coming soon.\n\n<https://youtu.be/3bnS3ppoRtM?feature=shared>\n\n### Custom Solutions 🌐\n\nFor companies that don’t have the resources or expertise to build their own LLM-based solutions, we’re here to help. Whether you're looking to enhance internal productivity or launch innovative new products with LLMs, we will work with you to bring your vision to life. Our team is dedicated to helping businesses of all sizes leverage the potential of AI to drive efficiency and customer love.\n\n### Ask 🙏\n\n* Test it out and share your feedback. If it isn’t working well for your use case, please let us know! We love diving in and solving difficult problems for our customers.\n* If you know developers/founders who are looking to build an LLM-based app, please send intros. We love learning about different use cases and the challenges developers are facing.\n* [Retweet](https://twitter.com/superpowered_ai/status/1722691291891298586)",
        "url": "https://www.ycombinator.com/launches/Jni-superpowered-ai-api-for-retrieval-augmented-generation",
        "votes": 18,
        "created_at": "2023-11-09T19:01:41.875Z"
      },
      {
        "id": 71445,
        "title": "Superpowered AI - Knowledge Base as a Service for LLM applications",
        "tagline": "Superpowered AI is an end-to-end knowledge retrieval solution that makes it easy to add external knowledge and long-term memory to your LLM application. ",
        "body": "Hey everyone! We are Zach McCormick, Dillon Martin, Justin Clark, and Nick McCormick from [Superpowered AI](https://superpowered.ai/).\n\n### **TLDR**\n\nSuperpowered AI is an end-to-end knowledge retrieval solution designed specifically for LLM applications (i.e. retrieval-augmented generation). We turn complex infrastructure into a few simple API calls, making it easy to retrieve the right information and deliver highly relevant responses to your users. \n\n### 🦉 Who is it for?\n\nWhether you’re using LLMs to improve your customer experience, increase efficiency within your company, or launch an LLM-based application for end-users, **Superpowered AI can provide your app with external knowledge and long-term memory without requiring you to be an AI expert** – all at a low cost. How low? We’ve set our pricing at half the cost of popular alternatives like OpenAI embeddings + Pinecone. Please note, our product is completely free for now, so feel free to query your heart out!\n\n### 💡 How does it work?\n\nSimply upload files (including audio) to a Knowledge Base, and then you can begin querying! We handle the text splitting, embeddings calculation, vector database uploading, etc. for you. **When you query your Superpowered AI Knowledge Bases, we return a list of the most relevant snippets of text from your Knowledge Bases, along with an LLM-generated summary of the results (with citations).** This output can then be added to the prompt of your LLM-based application to dramatically improve your LLM responses. Accepted file types: .pdf, .docx, .txt, .md, .mp3, .m4a, .wav\n\nYou can check this out in our web app right now[!](https://www.youtube.com/watch?v=4R_qoQvuNL8&ab_channel=ArtForYourTVBy%3A88Prints)\n\nOr, you can use our [SDK](https://github.com/SuperpoweredAI/superpowered-python-sdk/blob/main/README.md) 🤓 :\n\n**Step 1**: Install Superpowered SDK\n\n![uploaded image](/media/?type=post&id=71445&key=user_uploads/733585/bc0b3af2-2a71-4e13-abfd-31c6f952e913)\n\n**Step 2**: Create a Knowledge Base\n\n![uploaded image](/media/?type=post&id=71445&key=user_uploads/733585/1d26ab88-cd54-42af-9d61-4064109a9835)\n\n**Step 3**: Query from Knowledge Base\n\n![uploaded image](/media/?type=post&id=71445&key=user_uploads/733585/bdc760ee-8337-4dc2-86e7-2cc496c7a47c)\n\n### 👊 Why we built Superpowered AI\n\nLLMs have emerged as a groundbreaking new technology and we are thrilled to be part of this revolution! But when LLMs are used on their own they have major shortcomings. For real-world use cases, we could see the importance of integrating additional functionality into them to overcome these issues.\n\n1. **Access to external knowledge**. LLMs lack reliable knowledge and have none of your files to work with, but providing them access to knowledge will change your LLM app from a “neat toy” to a powerful tool for real-world use.\n2. **Long-term memory**. Want to build a chatbot that remembers users’ preferences over long periods of time? You’ll need to store conversations and retrieve them later on.\n\n### 🙏 Our Ask\n\n1. Check out [Superpowered AI](https://superpowered.ai/) and join our [Discord](https://discord.gg/s2bE3MfG)!\n2. Talk to us about your use case. If you’re building any kind of LLM application, there’s a very good chance we can help!\n\n### 🚀 Sign up & chat with us:\n\nCreate your account and/or book a demo at [superpowered.ai](http://superpowered.ai), or email me at [dillon@superpowered.ai](mailto:dillon@superpowered.ai)",
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        "title": "Dittofeed 📬 Embedded Messaging Features for Your SaaS",
        "tagline": "Dittofeed's Embedded Components instantly add template editors, workflow builders, user segmentation, and other messaging features to your app",
        "body": "Hi all, we’re [Max](https://www.linkedin.com/in/maxwell-gurewitz-6a848966/) and [Chandler](https://www.linkedin.com/in/chandler-craig-90/) from [Dittofeed](https://www.linkedin.com/company/dittofeed) 🙂\n\n**TL;DR - Dittofeed Embedded Components give your application messaging features like template editors and broadcasts in seconds**. SaaS companies in health, finance, education, and property management use Embedded Components to give their users the power to automate messaging.\n\n✋ Ask - If you are/know a **vertical SaaS founder, product manager, or engineering manager** who doesn’t want to spend a year developing workflow builders, user segmentation, SMS and email template editors, etc. reach out! [chandler@dittofeed.com](mailto:chandler@dittofeed.com)\\\n[https://www.youtube.com/watch?v=M9GrR1TtbDA\\\\](https://www.youtube.com/watch?v=M9GrR1TtbDA%5C)\n\n**☣️ Problem**\n\nOn any given day, somewhere in the world, there’s an engineer reimplementing a low code messaging automation tool for the nth time.\n\nDrag and drop workflow builders, user segmentation engines, and email template editors are seemingly ubiquitous among SaaS.\n\nThis is especially true for vertical SaaS. Consider the example of an app for healthcare providers - the providers may want to automate SMS to patients when a prescription refill is available. Or you might have an app for property managers, and you need to let them email tenants when their lease is up for renewal. It’s a non-trivial lift to build this suite of tools, and it can end up taking engineering teams 6-12 months to implement, plus ongoing maintenance.\n\n**✨ Solution**\n\nDittofeed’s [Embedded Components](https://docs.dittofeed.com/embedded/getting-started) wrap up our existing open-source messaging automation so that they can be embedded within your own application.\n\nYou can consume these components using styled iframes, unstyled react components, or by using Dittofeed as a headless API to rebuild your own components from scratch.\n\nThese embedded components can be served by Dittofeed cloud, or by self-hosting Dittofeed. Self-hosting is great for highly regulated industries like health and finance.\n\n![uploaded image](/media/?type=post&id=91935&key=user_uploads/917851/fd063652-db40-41f5-aaa5-ca4096131e2b)\n\n**How to get Embedded Components**\n\nContact [**support@dittofeed.com**](mailto:support@dittofeed.com), and we’ll send you an admin API key. Check out our Embedded Components [documentation](https://docs.dittofeed.com/embedded/getting-started) to learn more.\\\n\\\n🙋🏻‍♂️🙋🏽‍♂️ **The Founders**\\\nMax and Chandler have been friends since high school – 20 years and counting! They founded Dittofeed in 2023 with a mission to make a great open-source alternative to Klaviyo, Braze, and MailChimp.\n\n**Max** was previously a senior software engineer at OpenTable and Braze where he helped architect infrastructure that scaled their automated messaging services to billions of end users.\n\n**Chandler** was previously a marketing manager at Sony Music and various B2C startups where he became a power user of marketing automation software, seeing a need for change in the industry.\n\n![uploaded image](/media/?type=post&id=91935&key=user_uploads/917851/2be1b40c-c1a5-46eb-b75b-9b99d21a2104)\n\n![uploaded image](/media/?type=post&id=91935&key=user_uploads/917851/ff7093e7-2d18-455d-8bf9-7d92e6c17e55)\n\n",
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        "votes": 13,
        "created_at": "2025-07-07T19:18:21.762Z"
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        "title": "Dittofeed - The first open-source customer engagement platform with developer tools",
        "tagline": "We’re building the world's first open-source customer engagement platform with a fantastic developer experience.",
        "body": "**Tl;dr**: Dittofeed is a developer-focused, open-source alternative to platforms like Iterable and Customer.io. Dittofeed’s streamlined developer experience allows growth engineers to send better-performing marketing messages. Additionally, self-hosting Dittofeed delivers large cost savings to power users who are constrained by existing providers’ volume-based pricing.\n\n—\n\nHi everyone, we’re Max and Chandler, and we're equipping the next generation of technical growth teams with the tools they need to ensure their marketing messages look great and get delivered correctly.\n\n![uploaded image](/media/?type=post&id=70363&key=user_uploads/917851/2732dae6-eed4-4b8e-99b7-88266c3aa80e)\n\n### **The Problem**: Customer engagement platforms are expensive and error-prone.\n\nIf you’ve ever received marketing emails with broken links, or opted out of a company’s texts, only to receive an “exclusive offer” text the next day, there’s a reason. And it’s not (for the most part) because growth teams are bad at their job.\n\nCurrent customer engagement platforms give growth teams the low-code tools they need to automate marketing messages at scale, but none of the technical tools they need to make sure they’re sending the right messages, to the right customers, at the right time. This results in reduced customer conversion and retention rates, as well as frustrated growth engineers.\n\n### **The Solution**: An open-source customer engagement platform that empowers growth engineers.\n\nGrowth teams are becoming increasingly technical, and with that, comes a huge potential for fixing buggy marketing messages. We’re building a future where growth engineers can finally version control email templates and test messaging automations in CI, and where, simultaneously, non-technical growth team members still have access to the low-code tools they’re comfortable with.\n\nUsing Dittofeed, you get industry-standard features like a drag-and-drop customer journey builder, a segmentation interface, and a web-based template editor, helpful for non-technical marketers. You ALSO get technical features like:\n\n* **git-based workflows** 😎\n* **a first-in-class testing SDK** 🤯\n* **an OpenTelemetry integration** 🥳\n* **a self-hostable platform** 🥹\n\nSet your growth engineers up for success. Retain more customers. Save money. Everyone wins!\n\n_Jest Test Example_\n\n![uploaded image](/media/?type=post&id=70363&key=user_uploads/917851/36c3f478-9e0f-4494-a81c-6cf7c0ac4a60)\n\n_Journey Builder Example Workflow_\n\n![uploaded image](/media/?type=post&id=70363&key=user_uploads/917851/57a4c636-7de0-4849-a2cf-532f5a016bf0)\n\nCompanies using Dittofeed can:\n\n1. Save up to thousands of dollars a month by self-hosting, avoiding volume-based pricing.\n2. Reliably build high conversion, high-retention marketing campaigns.\n3. Make their growth engineers happier.\n\n### **Our ask**:\n\n🤩 Star us on [Github](https://github.com/dittofeed/dittofeed)\n\n🫱🏽‍🫲🏾 Connect us (Max & Chandler) with growth and marketing teams [via email](mailto:founders@dittofeed.com)\n\n🗓️ Schedule a [demo](https://calendly.com/d/zy7-8d5-jdq/dittofeed-demo-founders)\n\n💬 Contact us with any feedback! [max@dittofeed.com](mailto:max@dittofeed.com) / [chandler@dittofeed.com](mailto:chandler@dittofeed.com)",
        "url": "https://www.ycombinator.com/launches/IIt-dittofeed-the-first-open-source-customer-engagement-platform-with-developer-tools",
        "votes": 56,
        "created_at": "2023-03-16T22:49:31.527Z"
      }
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  },
  {
    "id": 26710,
    "name": "Tailor",
    "slug": "tailor",
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    "website": "https://www.tailor.tech/",
    "all_locations": "Tokyo, Tokyo, Japan",
    "long_description": "Tailor is the headless ERP that gives fast-growing retail brands a composable, API-first platform to run operations with speed, flexibility, and control.\r\n\r\n🧱 Legacy ERP is too rigid: Systems like NetSuite and SAP take months (or years) to implement and break with every change. Tailor is modular, headless, and easy to adapt.\r\n🧩 Point solutions don’t scale: Tools like inventory or order management software solve one problem, but can’t talk to each other or keep up with growth.\r\n📊 Spreadsheets are everywhere: From demand planning to purchase orders, even $100M+ brands still rely on Excel. Tailor replaces duct-taped workflows with ops modules you can tweak, combine, or scale\r\n⚡️ Complex workflows need custom logic: Whether it's multi-location inventory, DTC + B2B orders, or light manufacturing (like kitting or lot tracking), Tailor supports flexible automations out of the box.\r\n👟 Operators can move faster: Launch backend modules in minutes, not months. Tailor's low-code tools let teams build, automate, and adapt without waiting on engineering or implementation agencies.\r\n\r\n\r\nBuilt for composable retail:\r\n- Headless backend with GraphQL APIs\r\n- 50+ integrations (Shopify, QuickBooks, 3PLs, etc.)\r\n- Custom automations via Pipelines, Functions, and Event Triggers\r\n- State machines for approvals and multi-step workflows\r\n- AI features like OCR and vector search built in\r\n\r\nTailor is already powering operations at fast-growing omnichannel brands and modern manufacturers.\r\nWe’re proud to be the first Japan-based company to join Y Combinator. \r\n\r\nLearn more at [tailor.tech](https://www.tailor.tech)\r\n",
    "one_liner": "Headless ERP for retail operations",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1654046243,
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      "Developer Tools",
      "SaaS",
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    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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      "Japan",
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      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/tailor",
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    "year_founded": 2021,
    "city": "Tokyo",
    "country": "JP",
    "linkedin_url": "https://www.linkedin.com/company/76263236/",
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    "github_url": "https://github.com/tailor-platform",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 965414,
        "full_name": "Yo Shibata",
        "title": "Founder",
        "founder_bio": "Yo Shibata is co-founder/CEO of Tailor. Previously, Yo founded Smapo (Acquired by Rakuten, RetailTech), Shoppi (Acquired by IMJ, mobile app),  co-founded Funds (FinTech), and Watashikampo (HealthTech). Prior to being a serial entrepreneur, he worked for McKinsey.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yo-shibata-12742621/",
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      },
      {
        "user_id": 1013665,
        "full_name": "Misato Takahashi",
        "title": "Founder",
        "founder_bio": "Co-founder/CTO of Tailor, previously co-founder/CTO of Speee (TSE IPO in 2020), CTO of Spotlight (Acquired by Rakuten), engineer at Rakuten and GREE, and head of R4D, a research institute at Mercari.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mistat/",
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        "id": 93457,
        "title": "Senior Bilingual Software Engineer (English/Japanese) – West Coast (U.S.)",
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        "title": "Associate Forward-Deployed Product Manager",
        "url": "https://www.ycombinator.com/companies/tailor/jobs/E8miCF1-associate-forward-deployed-product-manager",
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      {
        "title": "Y Combinator, Global Brain back Tailor, a Japanese headless ERP startup • TechCrunch",
        "url": "https://techcrunch.com/2022/09/05/y-combinator-global-brain-back-tailor-a-japanese-headless-erp-startup/",
        "date": "Sep 05, 2022"
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      {
        "id": 91217,
        "title": "Tailor Omakase: Curated, Headless ERP for Fast-Growing Retail Brands",
        "tagline": "🛍️We help fast-growing retail brands replace rigid legacy systems, brittle point solutions and spreadsheet hell",
        "body": "Hello YC from Yo, Misato, and the team at Tailor 👋 We built Tailor as the headless ERP to replace monolithic, legacy tools — and today we’re launching Tailor Omakase. \n\n# **TL;DR**\n\nTailor Omakase is an opinionated, lightning-fast “ERP lite” for retail operators tired of rigid legacy systems, brittle point solutions and spreadsheet hell. \n\nSee how it works in this demo: [**https://youtu.be/tzSZw3MEIk0?feature=shared**](https://youtu.be/tzSZw3MEIk0?feature=shared)\n\n### **❌ The Problem: Retail ops software is stuck in the 90s**\n\nLegacy ERP software (think Netsuite and SAP) is rigid, monolithic, and difficult to implement and customize. This hits **retail operations** especially hard because of the industry’s unique operational makeup of supply chains, online marketplaces, and varying sales channels. \n\n![uploaded image](/media/?type=post&id=91217&key=user_uploads/965414/c28e51ee-4b3f-4f22-80b3-8ac011720893)\n\nRetail operators basically must choose between:\n\n* **Legacy ERP**: Bulky, monolithic systems that take several months or years to implement.\n* **Point solutions that don’t scale**: Tools for inventory, order management, or light manufacturing can solve short-term pain but aren’t API-first and break easily ops need to scale.\n* **Spreadsheets or homegrown**: Even fast-growing brands run core ops on Google Sheets, Airtable, or in-house tools held together by duct tape.\n\n \n\n### **✅ The Solution: Tailor Omakase**\n\n**Tailor Omakase** is a curated, customizable ERP lite built for fast-growing retail brands. It helps operations teams manage purchasing, inventory, and orders across DTC, wholesale, and 3PL — without needing a full-time ERP admin, multi-year contracts, or expensive agency support.\n\n[Product Demo](https://youtu.be/tzSZw3MEIk0)\n\n🟣 **Fast to deploy:** Launch your first module in weeks — not months or years — with preconfigured views for purchasing, inventory, and order workflows \n\n🟣 **API-first & low-code:** Seamlessly integrate with any tool like Shopify or ShipStation, or easily build custom modules.\n\n🟣 **Flexible**: Don’t change your operations to accommodate your software. Whether you're juggling DTC + wholesale orders or creating products in-house, Tailor’s modular and headless architecture adapts to you.\n\n🟣 **Modern UI**: An intuitive frontend that ops teams love to use, plus the flexibility to ship beautiful customer-facing experiences \n\n**HubSpot** filled a gap for SMBs who couldn’t compete with **marketing** from enterprise giants using enterprise tools and budgets. **Tailor Omakase** does the same for **retail and ecommerce brands** when it comes to **operations**.\n\n### **🔧 What’s under the hood**\n\nTailor Omakase runs on the same powerful [platform](https://www.tailor.tech/platform) we use to build internal tools and custom workflows for global enterprises.\n\n* **Instant CRUD APIs**: Generate GraphQL/REST APIs from schema definitions in seconds, complete with validation, filtering, pagination, and relationships.\n* **Composable backend**: Launch headless apps with custom logic, workflows, and event triggers without writing boilerplate code.\n* **50+ pre-built integrations**: Seamlessly connect to Shopify, QuickBooks, 3PLs, and more using Tailor’s API-first architecture.\n* **Automation-ready**: Use Pipelines, Functions, and Event Triggers to automate business logic and cross-system workflows.\n* **State machine support**: Handle complex approval flows and record-level transitions using schema-defined states.\n* **AI-native tools**: Enable vector search, parse documents with OCR, and integrate LLMs from OpenAI, Anthropic, or open-source models like Llama.\n* **_Coming soon —_** **_Fabrix_**: Auto-generate UI components from GraphQL schemas using Tailor’s open-source framework, Fabrix\n\n### **🏅 Our early customers**\n\n* A strategic textile supplier to a $20B+ global clothing retailer\n* A Japan-based hospitality company generating nearly $1B in annual revenue\n* A custom jewelry company growing sales across Shopify, Pinterest, Etsy, TikTok and Amazon\n\n### **🙏 Asks**\n\nKnow a **retail brand** trying to scale operations and growth? Send them our way at [yo@tailor.tech](mailto:yo@tailor.tech) or [patrick@tailor.tech](mailto:patrick@tailor.tech), share this post or book a demo [here](https://www.tailor.tech/demo)!\n\n🎁 We’re offering Tailor Omakase **free for the first year** (core modules) to any company that mentions they heard about us from YC.\n\nTailor Omakase is especially helpful for:\n\n* Companies **managing inventory** and orders in spreadsheets or Airtable\n* **Shopify** stores selling both DTC and wholesale/B2B\n* **Light manufacturing** or **kitting** **operations** (think skincare, make-up, customizable apparel/jewelry, made-to-order products)\n* Teams using **QuickBooks** that need better financial visibility into COGS, PO, or inventory",
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        "votes": 28,
        "created_at": "2025-06-11T14:07:08.560Z"
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    "long_description": "Devyce is building the global mobile network for business. Right now, we give your employees a business phone number in an app, on their personal phone, instantly, alongside a portal for analytics, management and integrations.\r\n\r\nNick has a background in recruiting and real estate and understands the pain points these industries face with hybrid working, while Ed has a solid tech background including a CS degree from Cambridge. Because of our relationship with a mobile network operator, we have the unfair advantage that we will actually become a mobile network, unlike other SaaS VoIP providers.\r\n\r\nhttps://devyce.com/",
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    "team_size": 20,
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    "city": "London",
    "country": "GB",
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      {
        "user_id": 1011846,
        "full_name": "Nick Browne",
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        "founder_bio": "Nick has spent the last 4 years working in telecoms as VP of Business Development for Stour Marine a UK Mobile Network Operator. Before entering the technology space he spent several years in finance at Deutsche Bank and HSBC. ",
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        "full_name": "Edward Clayton",
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      {
        "title": "Y Combinator-backed Devyce dials up $2.7 million - Tech.eu",
        "url": "https://tech.eu/2023/02/28/y-combinator-backed-devyce-dials-up-27-million/",
        "date": "Feb 27, 2023"
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    ],
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      {
        "id": 65611,
        "title": "Devyce - The business phone ☎️ in an app📱",
        "tagline": "We give your employees work numbers on their personal phone instantly",
        "body": "We’re [Nick](https://www.linkedin.com/in/nick-browne-a8a829147/) and [Ed](https://www.linkedin.com/in/ed-clayton-1b8b7b27/), and we’re building [Devyce](https://devyce.com/?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=launchyc&utm_content=top) - the business phone system for hybrid workers across the UK, Europe and worldwide. Want to get started with a UK mobile number right now? Download us from the [App Store](https://apps.apple.com/us/app/devyce/id1504660924) or [Play Store](https://play.google.com/store/apps/details?id=io.devyce.client&hl=en&gl=UK) and sign up in-app\n\n### The Problem 🚩 \n\nCompanies have three ways of getting phone calls to and from remote, hybrid, and offsite workers:\n\n* They can give their employees a **costly second handset** 📱📱\n* They can require that their employees use their **personal number for work** calls, hitting their privacy (and possibly regulatory requirements)🕵️\n* They can persevere with a **legacy office phone system**, with the configuration difficulties and poor quality mobile apps that come with it 📟 - on top of a 50% typical missed call rate.\n\nIn all of these cases, companies struggle to understand user behaviour and performance, and they risk customer loss if an employee leaves.\n\n### The Devyce Solution⚗️\n\n![uploaded image](/media/?type=post&id=65611&key=user_uploads/982968/87c27f9a-1901-4c85-9f59-269aa9e01ba8)\n\nDevyce customers use a portal to instantly allocate (and deallocate) numbers to employees, auto-attendants and call groups. They see calling stats and have the option to record calls and view a detailed call history.\n\n* Our monthly charge of around **$20 per user** is significantly lower than the price of a second handset.🪙\n* Users can be given **one or many mobile or landline numbers** instantly, from the UK, several European countries, and the US. 🌍\n* Our product is designed for **mobile first**, and our apps get fantastic [App Store](https://apps.apple.com/us/app/devyce/id1504660924) and [Play Store](https://play.google.com/store/apps/details?id=io.devyce.client&hl=en&gl=UK) reviews. ⭐⭐⭐⭐⭐\n\n### Our Magic Beans 🪄\n\nDevyce has a close relationship with a UK mobile network operator. This not only gives us unbeatably low call costs (we’re paid to receive calls), but as we are expanding it lets us overcome regulatory issues in territories outside the UK.\n\nOur tech’s second to none. We’re not just building a phone system, we’re redefining what it does. With **automated call summarization, CRM integrations and smart call routing** all in development we’re delighting both our customers _and their customers_. We’re reducing the number of missed calls, which means our customers get more sales opportunities and win twice by switching to us.\n\n### Our Story 📖\n\n![uploaded image](/media/?type=post&id=65611&key=user_uploads/982968/dc616887-712d-40c4-b296-cf41f714b9ca)\n\nNick’s background is in investment banking. However, while studying for his qualifications, he dabbled briefly in both real estate and recruitment. This gave him an insight into the pain points faced by both of those phone-intensive businesses, something that stayed with him until the opportunity to fix it arose.\n\nEd graduated from Cambridge with a Computer Science degree in 2004. He worked for some of the most selective London tech companies such as Softwire and G-Research, before moving to Vietnam for a few years and doing some freelance mobile development (as well as dabbling in VoIP).\n\nWe met through a mutual friend, Leo Bartle, who owns the aforementioned UK mobile network. Leo’s turned that network around from near bankruptcy, and it now supplies numbers to companies such as Salesforce and Google. He runs the mobile network day-to-day, and works closely with us through that as an increasingly active co-founder.\n\n# Get Devyce\n\n![uploaded image](/media/?type=post&id=65611&key=user_uploads/982968/190c4b2c-2163-40ab-b94d-83c149522949)\n\nWe’ve been selling for a year and a half, so our core telephone offering is reasonably mature and stable. You can sign up via [our website](https://devyce.com?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=launchyc&utm_content=bottom) for our multi-user packages, but if you want a **second UK mobile number instantly** you can just get the app from the [App Store](https://apps.apple.com/us/app/devyce/id1504660924) or [Play Store](https://play.google.com/store/apps/details?id=io.devyce.client&hl=en&gl=UK) and sign up through that.\n\nIf you’d like a European or other number then let us know at [founders@devyce.com](mailto:founders@devyce.com) and we’ll hook you up.",
        "url": "https://www.ycombinator.com/launches/H4F-devyce-the-business-phone-in-an-app",
        "votes": 61,
        "created_at": "2022-08-25T07:05:43.516Z"
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    "id": 26712,
    "name": "Bunting Labs",
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      "Bunting Labs",
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      "CodeCanary"
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    "long_description": "Bunting Labs researches and develops custom AI models for surveying and GIS.",
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    "team_size": 2,
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    "country": "US",
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        "user_id": 786838,
        "full_name": "Michael Egan",
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        "founder_bio": "Co-founder of Bunting Labs, training custom AI models for GIS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-egan-4941a4145/",
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      {
        "user_id": 572884,
        "full_name": "Brendan Ashworth",
        "title": "Founder",
        "founder_bio": "Brendan studied physics + AI at MIT ('22). Previously: Software @ IBM, Minio, Node.js core team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brendanashworth/",
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    "jobs": [
      {
        "id": 102299,
        "title": "GIS Technician ",
        "url": "https://www.ycombinator.com/companies/bunting-labs/jobs/4LB2UmX-gis-technician",
        "location": "Remote",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$10K - $40K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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    "launches": [
      {
        "id": 99155,
        "title": "CodeCanary 🐤 Your AI Product Engineer",
        "tagline": "CodeCanary uses session replays to fix bugs, boost conversion, monitor leads and customers, and answer any question.",
        "body": "CodeCanary connects coding agents to your product analytics to find and fix bugs, improve conversion, track leads and customers, and answer anything about your product. CodeCanary runs autonomously and lives in Slack. \n\n![uploaded image](/media/?type=post&id=99155&key=user_uploads/786838/893e9400-0075-43e6-ae0b-f3fc42a3d1a6)\n\n# Problem\n\nYour product analytics are a rich source of information, but it’s hard to always be getting the most out of them. There are not enough hours in the day to watch every session replay, catch every bug your users face, and always be running experiments on your bottlenecks. \n\n# Solution\n\nCodeCanary is [always watching your product](https://www.codecanary.ai/blog/watching-session-replays-with-ai) to see where it can help. For example, CodeCanary:\n\n1\\. Spots users who interact with bugs, looks through your code for the cause, and submits a PR with a fix. It also can tell you who was impacted.\n\n\\\n2. Identifies conversion bottlenecks, creates A/B experiments, and submits the variant as a PR. CodeCanary can also run low-risk experiments on autopilot directly on your website without any human oversight, as desired.\n\n3\\. Tracks and reports back on high value prospects, however you define them.\n\n\\\n4. Answers any other questions you might have about your users and how they interact with your product (e.g. \"in the reduce landing page interactivity experiment can you please break down the demo booked results by device type?\").\n\n# Try CodeCanary\n\nYou can sign up for CodeCanary here! <https://www.codecanary.ai> \n\n![uploaded image](/media/?type=post&id=99155&key=user_uploads/786838/424e65f8-a2a4-4871-b442-75d9f2b3ecbf)\n\n",
        "url": "https://www.ycombinator.com/launches/PnH-codecanary-your-ai-product-engineer",
        "votes": 8,
        "created_at": "2026-03-28T16:11:44.647Z"
      },
      {
        "id": 91491,
        "title": "Mundi 🗺️ The Open Source GIS Built for AI",
        "tagline": "Mundi is the first GIS designed for users to collaborate with an AI agent",
        "body": "# Mundi, the first open source, AI-native GIS\n\nMundi is an open source web GIS built to help people use LLMs in their geospatial work. In Mundi, you collaborate with Kue, our AI GIS agent, to edit your map, rather than physically interacting with tools as you would in a legacy GIS.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/49388e35-2edf-4711-8aa7-f22aed832b08)\n\n# Here’s how Mundi is bringing AI to GIS:\n\n**Mundi makes PostGIS much more accessible 📂** \\\n\\\nWhen you connect a PostGIS database to your project, Kue digests it and builds you a wiki to better understand its contents and how everything relates together. Then, if you want to add some data, all you have to do is tell Kue what data you want and it will figure out what is best and add it to your project.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/585270c1-b025-4ebf-953d-09a0aef2417f)\n\n\\\n**You can run QGIS geoprocessing in the cloud ⚙️**\\\n\\\nKue has access to all of the QGIS geoprocessing algorithms so you get the power of a desktop GIS with the power of cloud processing. All you have to do is tell Kue what you want done with your data and it will pick the right geoprocessing algorithm, run it, and give you the output. And, because it’s run in the cloud, it’s much faster and does not need a powerful computer.\\\n\\\n**Mundi can edit symbology for you 🎨** \\\n\\\nKue has the ability to change the symbology of your data in any way you want. If you have a specific request, it can handle it for you. Or, if you want Kue to decide how a layer should be styled, we’ve given it the ability to “see” symbology and iterate on what to improve. So, if you have a drought layer, Kue can understand that it should be a red gradient, see how it’s styled, and make improvements until Kue is satisfied.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/7074999f-e6f5-42f0-9516-b5d07e176e94)\n\n**You can work with your whole team on Mundi 🤝** \\\n\\\nWe’re building Mundi to allow you to edit maps with your whole team and send viewable links to anyone who wants to see it. Since we built Mundi to make it easier for anyone to make maps, we wanted to make it easy for all these new mappers to work together.\n\n**We’ve made it open source 🐧** \\\n\\\nIn addition to hosted Mundi, we’re launching an open source version. If you want to try out AI locally or change Mundi to your exact needs (an exciting trend we saw at the QGIS user conference), we wanted to be sure that this was an option.\n\n### How to try mundi:\n\nYou can sign up for Mundi at [app.mundi.ai](http://app.mundi.ai) and read the docs at [docs.mundi.ai](http://docs.mundi.ai)!\n\nIf you want to see the open source version, you can find it here: https://github.com/BuntingLabs/mundi.ai",
        "url": "https://www.ycombinator.com/launches/Nnf-mundi-the-open-source-gis-built-for-ai",
        "votes": 10,
        "created_at": "2025-06-21T01:04:41.033Z"
      },
      {
        "id": 65769,
        "title": "Bunting Labs 🐦 No-code geospatial data pipelines",
        "tagline": "Meet Bunting, the easiest way to work with geospatial data",
        "body": "**TL;DR Bunting helps developers import, store, and analyze geospatial data. We replace months of writing Python scripts with our drag-and-drop data importer.**\n\nHi everyone! [Brendan](https://www.linkedin.com/in/brendanashworth/) and [Michael](https://www.linkedin.com/in/michael-egan-4941a4145/) here to introduce [Bunting Labs](https://buntinglabs.com).\n\n🗺 **Problem**\n\nIf you want to implement spatial data into your software, you need to use a spatial database. But, because spatial data is heterogenous, creating the ETL scripts, cloud infrastructure, and analysis pipelines to use it takes months—something we saw ourselves.\n\nWe spent a year trying to analyze real estate with AI, and the first three months were dedicated to building these data pipelines. We realized every company that wants to use spatial databases suffers from the same problems.\n\n**🔧 Solution**\n\nWe handle the pipeline and the database for you. Behind the scenes we do all the leg work to work with spatial data so you can focus on building your product. For example, we automatically [convert addresses in CSVs into a PostGIS table via geocoding](https://buntinglabs.com/flows/import-csv-geocode-into-postgis). Here’s how managing spatial data on bunting would look like for you:\n\n1. Upload any data file, and we’ll automatically recognize how it relates to the Earth. We currently support [KML](https://buntinglabs.com/flows/import-csv-geocode-into-postgis), [CSV](https://buntinglabs.com/flows/import-csv-geocode-into-postgis), [GeoJSON](https://buntinglabs.com/flows/importing-geojson-files-into-postgis), [GeoPackage](https://buntinglabs.com/flows/upload-geopackage-contents-to-postgis), and [Excel](https://buntinglabs.com/flows/load-excel-file-into-postgis).\n2. We’ll save it to a managed PostGIS instance (on Amazon RDS) and give you SELECT permissions to your tables.\n\n![uploaded image](/media/?type=post&id=65769&key=user_uploads/786838/6daa1005-b597-472c-90ad-b16067886c47)\n\nComing soon: low-code spatial analysis tool and purpose-built spatial data labeling. Everything you need to build an app with spatial data.\n\n**👉 Ask**\n\nDo you work with spatial data and are willing to share your experiences? Shoot us an email at [founders@buntinglabs.com](mailto:founders@buntinglabs.com), we would love to talk.\n\nDo you work at a company that is working on implementing or wants to implement any spatial features? Email us at [founders@buntinglabs.com](mailto:founders@buntinglabs.com), we would love to work with you to do whatever it takes to make your vision a reality!\n\n**💻 Open Source**\n\nBunting is built on open source and sponsors development of [mundipy, a Python framework for geospatial data](https://docs.mundi.ai/).",
        "url": "https://www.ycombinator.com/launches/H6n-bunting-labs-no-code-geospatial-data-pipelines",
        "votes": 62,
        "created_at": "2022-09-01T14:38:28.498Z"
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    "id": 26715,
    "name": "Ruleset",
    "slug": "ruleset",
    "former_names": [
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      "Lexer",
      "Ruleset",
      "Lexer",
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      "SynthCall",
      "BattleAgents"
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    "long_description": "",
    "one_liner": "The SaaS Decision Engine for Lenders",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
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    "tags": [
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      "B2B"
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    "url": "https://www.ycombinator.com/companies/ruleset",
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      "name": "Brad Flora",
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        "user_id": 129850,
        "full_name": "Logan Frederick",
        "title": "Founder",
        "founder_bio": "Logan is the founder of Ruleset. He previously built a $50mm lending business at Regional Finance, worked as a software engineer at JPMorgan Chase, and at the YC company Bluecrew. He received a degree in Computational Economics from Ohio State University.",
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      {
        "user_id": 155094,
        "full_name": "Zheng Hao Tan",
        "title": "Founder",
        "founder_bio": "Zheng is the founder of Cellulose. Prior to that, he worked on several engineering problems throughout his career ranging from full stack + firmware engineering for Internet of Things (IoT), to machine learning platforms and deployment workflows for Artificial Intelligence in autonomous vehicles (Cruise). He earned a degree in Computer Engineering from the University of Michigan.",
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      {
        "id": 65156,
        "title": "Ruleset - No-Code Decision Engine for Lenders",
        "tagline": "We empower risk and legal teams to set rules for who gets a loan, without requiring engineering.",
        "body": "Hey all, we’re Logan and Zheng building [Ruleset](https://ruleset.ai)!\n\n## **❌ The Problem and Why It Matters**\n\nFinancial firms have a decision process that determines who qualifies for a loan or not. Even firms using machine learning only have the ML model as one step.\n\nThe problem is that these rules are defined by Risk and Legal teams. However, they are implemented by engineers who don’t fully understand them, and getting them wrong costs companies millions.\n\n## **⚙️ How It Works**\n\nWe provide a drag-and-drop interface which makes it easy to create a decision workflow from a basic building blocks. These “rule” components can read/write from data sources, do calculations, and fork data paths for different outcomes. For our customer’s tech teams, integrating a Ruleset into their systems (to display the results on their website) should be as easy as plugging in Stripe.\n\n![uploaded image](/media/?type=post&id=65156&key=user_uploads/129850/0f7339ff-c5d5-45d7-a16c-050c4bc9af9f)\n\n## ❓**Why Are We Working on This?**\n\nThe idea clicked when I was recently at Regional Finance (NYSE: RM) launching new online lending products. I experienced this problem alongside our Risk and Legal teams, where an evaluation of existing vendors didn’t find one which could quickly and easily solve our issues. Zheng and I previously worked together for two years at a Series A startup and knew we could build the right solution.\n\n## **🙏 The Ask**\n\nIf you or someone you know works in Risk, Legal, or Operations at a financial firm, or if you’ve tried other decision workflow tools and they didn’t solve your problem, shoot me an email at [logan@ruleset.ai](mailto:logan@ruleset.ai) and I’d love to discuss how we can help!",
        "url": "https://www.ycombinator.com/launches/Gwu-ruleset-no-code-decision-engine-for-lenders",
        "votes": 37,
        "created_at": "2022-08-05T17:12:25.250Z"
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    "id": 26717,
    "name": "Blitz",
    "slug": "blitz",
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    "website": "https://www.blitznocode.com/",
    "all_locations": "Porto, Porto District, Portugal; Remote",
    "long_description": "Blitz is a no-code platform to build internal applications and automate manual tasks. Quickly build a database, integrate your logic, and scale your operations. \r\n\r\nAlternative to Google Sheet and Airtable, Blitz is not limited by a number of lines of records or by an API rate. \r\n\r\nCreate your data model and set up data validation rules. Use our interface builder to create dynamic forms, and quickly onboard customer and partners. Leverage our granular permissions to share data to external users (publicly or privately). Add advanced business logic to your forms and portals, without writing any line of code. The experience is similar to creating spreadsheets, but without their limitations in terms of scalability and security. \r\n\r\nYou can use Blitz to build an onboarding flow, an order management system or some validation workflows for compliance purposes. \r\n\r\nStop using developer resources or rigid SaaS software. Start building your own tools, adapted to your needs, with Blitz. ",
    "one_liner": "Lovable for non-tech users: Build no-code internal and customer apps",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1656995564,
    "tags": [
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    "batch": "Summer 2022",
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    "year_founded": 2022,
    "city": "Porto",
    "country": "PT",
    "linkedin_url": "https://www.linkedin.com/company/blitznocode/",
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        "title": "CustomerOS – Uncover hidden pipeline that actually converts",
        "tagline": "The only B2B platform that tells you who to target, how to win, and what actually converts",
        "body": "Most top prospects never fill out forms, making them invisible until it’s too late. \n\nCustomerOS uses a team of AI-agents to identify and score leads based on their behavior, alerting sales with the right messaging at the right moment. It automatically builds your ideal customer profile, tracks buyer intent in real-time, and provides actionable insights for SDRs and decision makers.\n\nhttps://youtu.be/Cru5GSrRfHQ\n\n### The Team\n\nWe’re Matt & Jonty, the team that helped build Voxbone to a $519M exit and we’re now building the GTM platform we wish we’d had. We’re backed by Y Combinator, Seedcamp, Crane, and Cocoa.\n\n### The Problem\n\n**92% of your best leads don't fill out forms.**\n\nThey do deep research, and show real buying intent, but we never know who they are until it’s too late. By the time we realize they were interested, they’ve already signed with someone else who actually saw them coming.\n\nMeanwhile your SDR drowns in unqualified “MQLs” that will never close.\n\nCustomerOS solves this problem.\n\n### Our Solution\n\nCustomerOS surfaces high-fit leads that are actually evaluating your product in real-time. It scores buying stage and intent from their behavior and alerts sales with content and messaging to share at exactly the right moment to drive deals forward.\n\nWith CustomerOS you have a squadron of purpose-built AI agents, engineered to \n\n1. Outsmart your competition\n2. Accelerate your pipeline\n3. Turn every touchpoint into revenue firepower\n4. Help SDRs focus on the leads that actually convert\n\n### Here’s How it Works\n\n### Your Ideal Customer Profile\n\nCustomerOS automatically generates your ICP based on your website, content, and existing customers.  Then we score every lead  based on how well they fit your ICP.\n\nOnly high-fit leads make it into your pipeline so you don’t waste time on prospects who are never going to convert.  Everything on your screen is a qualified lead we actually WANT to close.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/0508be1e-076a-4b1a-87b6-073b8d7ed078)\n\n### See Who's Ready to Buy\n\nWith our easy-to-setup web tracker, you can follow each lead's intent in real time. This allows you to know where they are in their journey and who’s ready to buy.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/861fca57-630d-4eab-ab5b-f22ae5cbe953)\n\n### Competitive Intelligence for SDRs\n\nEach lead comes with tailored battle cards showing how big the opportunity can be, who else they’re likely evaluating, and what we need to do to win.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/bf890845-4aeb-4f3e-b770-d5ad51ae7287)\n\n### Insights for Decision Makers\n\nWe automatically pull together insights from your lead behaviour, content engagement, and ad spend, and turn them into strategic recommendations that show decision-makers exactly where to double down and what to cut.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/51b3828a-21e3-43f1-a1d2-3e8993be5122)\n\n### Our Ask\n\n* Introduce us to a B2B VP of Marketing, or Head of SDR who would like to build a repeatable, high quality lead pipeline.\n* Try the **Estimate my leads** tool and see how many ICP fit prospects are already evaluating you anonymously.\n* Book a walkthrough.  Most customers book their first meeting in under a week.\n\n \n\n**See who’s ready to buy right now at** [customeros.ai](http://customeros.ai)\n\n### Proof\n\nOne of our early users put it simply:\n\n> This thing prints meetings. We had two in the first two days, a third within the week, and more are lining up. The rest of the SDR team was fighting over access because the conversations were so easy and the close rate was so high.\n\nBacked by **Y Combinator, Seedcamp, Crane, and Cocoa**, CustomerOS is built to solve the problems every GTM team faces.\n\n### Why Now\n\nThe traditional lead generation infrastructure is crumbling due to privacy changes, AI cannibalization of search traffic, and the evolution of enterprise buyer behavior, making Pipeline Blindness a permanent competitive disadvantage. \n\nEarly adopters are building intelligence moats through superior lead identification that get stronger with every qualified visitor.\n\nThe gap between companies with lead intelligence and those without is widening rapidly and becoming permanent - every day without this capability allows competitors to capture prospects you can't even see. \n\nOnce the intelligence gap becomes permanent, no amount of marketing spend can close it.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/3ae9386c-ab02-44b0-9d20-06cfa1f67dc5)\n\n",
        "url": "https://www.ycombinator.com/launches/OTZ-customeros-uncover-hidden-pipeline-that-actually-converts",
        "votes": 39,
        "created_at": "2025-09-24T14:15:27.231Z"
      }
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    "id": 26726,
    "name": "ilumadata",
    "slug": "ilumadata",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66d4cb68e2a9b002d6e82fe002cef40a30254971.png",
    "website": "https://www.ilumadata.io/",
    "all_locations": "London, England, United Kingdom; Sydney, NSW, Australia; Remote",
    "long_description": "We’re retool for data pipelines. We allow less-technical people to edit data pipelines, with easy to use tools.",
    "one_liner": "Confidently ship analytics code faster with fewer errors",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1657474709,
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      "Developer Tools",
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      "Australia",
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      "Oceania",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ilumadata",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/ilumadata.json",
    "year_founded": 2022,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/ilumadata",
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    "founders": [
      {
        "user_id": 1006154,
        "full_name": "Luke Singham",
        "title": "Founder",
        "founder_bio": "Formerly, Data Platform Engineer and data lead at Monzo, previously at Palantir working across the commercial and government sectors. Over 10 years in the data industry.",
        "is_active": false,
        "linkedin_url": "http://linkedin.com/in/lukesingham",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5aeccb33236c162e1e0eed45e0a9601c3e75e914.jpg"
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      {
        "id": 64710,
        "title": "ilumadata - Confidently ship analytics code faster with less errors",
        "tagline": "ilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with fewer errors",
        "body": "Hey YC,\n\nWe’re [Luke Singham](https://www.linkedin.com/in/lukesingham/) and [Matt Sutton](https://www.linkedin.com/in/matthew-sutton-02290984/), co-founders of [ilumadata](http://ilumadata.io).\n\nilumadata helps data teams make changes faster, with confidence. Catch mistakes before shipping. And when debugging, pinpoint the source of failures–fast.\n\n## 🤓 Who is it for?\n\nData teams in large organisations feeling the pain of scaling data teams: struggling with broken pipelines, or taking too long to make changes.\n\n## ❓The ask + can I try it?\n\nIf you fit this 👆category or know someone who does, we’d love to talk to you!\n\nEmail us at [founders@ilumadata.io](mailto:founders@ilumadata.io) or request a demo at [ilumadata.io](http://ilumadata.io)\n\n## 😩 The problem - why we built ilumadata\n\nAt Monzo, I experienced a growing number of pains as we scaled the data team:\n\n* Onboarding new team members took days to weeks\n* Debugging broken pipelines took hours to fix because information was hard to piece together\n* It was hard to know the impacts downstream of changes you made\n* Difficult to know who owns the data, who uses it or if it is even used at all\n\n## ✅ The solution\n\nilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with less errors:\n\n* Onboard new team members in under 60 seconds with a cloud hosted environment.\n* Learn, manage, version control, validate and test your pipeline in one workspace.\n\n  ![uploaded image](https://www.ilumadata.io/img/demos/modify-pipeline.gif)\n\n* Mock out pipeline architecture like you would in a flow chart tool, with code you can use!\n\n  ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/8359ad36-b8a2-4985-9f4d-396a3b54062f)\n\n* Debug, optimise and resolve your pipelines issues, fast.\n\n  ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/29a51ad9-2ba1-4ee0-b44d-9377c600eeba)\n\n",
        "url": "https://www.ycombinator.com/launches/Gpi-ilumadata-confidently-ship-analytics-code-faster-with-less-errors",
        "votes": 24,
        "created_at": "2022-07-18T21:37:33.587Z"
      }
    ]
  },
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    "id": 26730,
    "name": "Champ",
    "slug": "champ",
    "former_names": [
      "Paigo",
      "Champ",
      "Mocke",
      "Champ",
      "Mocke"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/734214ecc529126708ddc6afc0e551ab2757f65b.png",
    "website": "https://trychamp.co/",
    "all_locations": "San Francisco, CA, USA; Remote",
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    "one_liner": "AI SDR",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1654798414,
    "tags": [
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      "Sales",
      "AI"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/champ",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/champ.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e37b0d7222506dd5281924de8519075c66409569.png"
    ],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 675671,
        "full_name": "Matt Sun",
        "title": "Founder",
        "founder_bio": "Revenue infrastructure, engineered with AI to compound upside. My team provides embedded GTM engineering service by YC founders and former sales leaders — designing and shipping the enrichment, campaigns, and CRM automation that turn manual busywork into predictable pipeline for revenue growth that compounds.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/thisismattsun/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca93dcc2ce1d5985871bc4400fa2532ba9e8ff5b.jpg"
      },
      {
        "user_id": 1047794,
        "full_name": "Daniel Wasserlauf",
        "title": "Founder",
        "founder_bio": "Hacker, Software enthusiast. \n\nSend me cool projects or bits of code you like! \nhttps://github.com/twosdai ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/daniel-wasserlauf-b12681101/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2990083c1f545e2fcadc5ef6ba4a654dce568ff3.jpg"
      }
    ],
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    "launches": [
      {
        "id": 98226,
        "title": "Mocke, Cold Email AI Agent",
        "tagline": "Cursor for cold email, with lead research and personalization at scale",
        "body": "Hey, it's Matt here. Really excited to launch Mocke today, because it has been a wow moment for ourselves and beta users. Can't wait to share it with everyone who writes cold email.\n\n# TLDR;\n\nMocke is an AI agent for cold email. It works like Cursor for development. Mocke collapses hours of cold email writing into seconds and conducts deep research on each lead to deliver completely personalized messaging at scale.\n\nTry Mocke here <https://mocke.co/>. No account is needed; just enter your website to see the cold email you are going to love in 60 seconds.\n\n# **The problems we are solving**\n\n### The 0.1 → 1 Problem\n\nEven though everyone now has access to ChatGPT, crafting effective cold emails still requires significant time and effort. Here's the typical experience of someone writing cold emails:\n\n1. ChatGPT provides a first draft in 5 seconds, which looks decent.\n2. The user then spends time refining the phrases, CTA, subject line, messaging, and final touches. This process can take an hour or even several hours until they feel comfortable sending out the emails.\n\nThe challenge is rather the effort needed to refine the draft for production, because no one feels comfortable taking the 1st drafted email from ChatGPT and send to real leads. Therefore, I refer to this problem as the 0.1 to 1 problem.\n\n### The personalization with deep research\n\nChatGPT is a commodity that everyone already has access to. So, writing a good cold email is no longer sufficient to get meaningful returns from campaigns. Relevance has already become the #1 indicator for a high reply rate. However, there are no effective tools available for conducting in-depth research on each lead and crafting personalized, unique emails for every individual.\n\nIn the market, many AI sales tools attempt to build rapport in cold emails by referencing LinkedIn activities, such as congratulating someone on a promotion or mentioning a recent post. However, leads can quickly recognize poorly generated personalization in these outreach efforts, which often lack genuine relevance. This undermines trust and reduces interest.\n\n# **The solution - Mocke: your cold email AI agent**\n\nMocke is a Cold Email AI agent that functions like Cursor. It reduces hours of cold email writing and deep personalization to just 60 seconds, delivering thousands of unique email messages that leads will love instantly. While it works alongside you, the AI agent handles most of the ideation, writing, polishing, personalization, and deep research, allowing you to achieve results without lifting a finger.\n\n### Step 1: Campaign idea\n\nMocke suggests campaign ideas. By simply entering your website, the AI agent identifies the ideal ICP, highlights the most suitable pain points for cold emailing (as not every pain point is effective for cold emailing), and provides a creative messaging angle designed to attract a lot of responses.\n\nYou can start not only with your website but also with your inbound website visitors, conference pre- and post-outreach, publishing a new case study, creating a new blog post, promoting a new AI feature, and more. Share any of these with Mocke, and the AI agent will develop a comprehensive outbound strategy for you.\n\nBelow is a basic example using [@Pylon](https://bookface.ycombinator.com/company/28069)’s website. (big fan of their product btw!)\n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/216b3b61-dd14-41ca-9838-5acb958e8d04)\n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/1595b949-d321-4eff-b84b-361df55b3934)\n\n### Step 2: Email template\n\nMocke writes email templates with embedded prompts. Refer to the Pylon example below.\n\nFor each email, AI agent may propose an engaging subject line, a creative value-based call to action (beyond a simple meeting request), and crucially, instructions for conducting deep research and personalization, presented as prompts in **\\[square brackets\\]**.\n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/dcad9216-12af-4494-ba86-d82f4cb52fee)\n\nWhat Mocke will do is to run deep research into a lead, the business behind, their department and teams, and all relevant information with regard to what AI agent is selling. Then with the targeted deep research, AI agent will generate a highly-relevant email for one lead.\n\n Just to highlight, in the Pylon example above, there are various prompts:\n\n* A paragraph prompt `[Write a short paragraph in 30 words or less. Ask the lead if their support team has experienced a large volume of support tickets in Q1 2026, and how they handle it. Must mention one specific technical product error message often asked by the lead's users. Must use deep technical terminology in the context of the lead's product. Must mention the lead's product name.]`\n* A phrase prompt `[describe the lead's team, in 3 words or less]`\n\n So you can choose from full delegation to AI to write content, or partially if you want to have finer control over customization.\n\n###  Step 3: Preview deep research and emails\n\nTo review the deep research and email writing, you can provide a lead's LinkedIn profile for the AI agent to conduct in-depth research and craft a personalized email in real-time. This ensures you feel confident about the dynamic content generated by the AI, based on the prompts embedded in the email templates.\n\n For this demo, I'm again using two potential leads of Pylon and have AI run deep research to write emails. You can compare them side-to-side to see the difference.\n\n \n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/4d2f6ca8-bda6-4264-bab1-295e51ba50c4)\n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/d773b48d-0501-4b35-83df-cb2364a6b508)\n\n### Ready to launch\n\nAfter completing the three steps in just 60 seconds, you can upload your list of leads. The AI agent will then conduct deep research and create personalized messages for each lead, one by one!\n\n# 🚀🚀🚀 **Ask**\n\nNo sign-up is required, and it's free to use. Simply visit our website <https://mocke.co/> and enter your website. In just 60 seconds, you'll receive a cold email that you'll truly like.\n\nMy ask: try it out with your website and share your honest feedback. Let us know  whether you love it or not.\n\n \n\n---\n\n---\n\n---\n\n---\n\n---\n\n— — — —\n\n---\n\n# How it works underneath\n\nIf you are still reading and interested to know a little more.\n\n### Email Writing Workflow\n\nFor each lead, Mocke would go through a few steps to write unique messaging per person and ensure it's relevant.\n\n1. Build a profile of the lead by scraping LinkedIn page\n2. Build a profile of the company of the lead by querying B2B databases\n3. Use [@Firecrawl](https://bookface.ycombinator.com/company/27152) (shout out to the team, amazing product as well!) to crawl website and/or targeted information search using its agent\n4. Use agentic loop to finish email writing, polishing, reviewing, scoring, and delivering\n\n### What can be found in deep research?\n\n1. Anything mentioned on main marketing website\n2. Anything mentioned in documentation\n3. Google searchable content if the results come back in the first page of SERP\n4. Top reddit relevant threads (same reason as above, indexed by Google)\n5. Personal and company LinkedIn profiles activities\n\n### What if AI can't find information?\n\nMocke AI agent will not generate inaccurate information, as we have safeguards in place. In the case of information not found, AI will write generic content, rather than specific reference of information.",
        "url": "https://www.ycombinator.com/launches/PYI-mocke-cold-email-ai-agent",
        "votes": 6,
        "created_at": "2026-03-02T17:52:17.660Z"
      },
      {
        "id": 98225,
        "title": "Mocke, Cold Email AI Agent",
        "tagline": "Cursor for cold email, with lead research and personalization at scale",
        "body": "Hey, it's Matt here. Really excited to launch Mocke today, because it has been a wow moment for ourselves and beta users. Can't wait to share it with everyone who writes cold email.\n\n# TLDR;\n\nMocke is an AI agent for cold email. It works like Cursor for development. Mocke collapses hours of cold email writing into seconds and conducts deep research on each lead to deliver completely personalized messaging at scale.\n\nTry Mocke here <https://mocke.co/>. No account is needed; just enter your website to see the cold email you are going to love in 60 seconds.\n\n# **The problems we are solving**\n\n### The 0.1 → 1 Problem\n\nEven though everyone now has access to ChatGPT, crafting effective cold emails still requires significant time and effort. Here's the typical experience of someone writing cold emails:\n\n1. ChatGPT provides a first draft in 5 seconds, which looks decent.\n2. The user then spends time refining the phrases, CTA, subject line, messaging, and final touches. This process can take an hour or even several hours until they feel comfortable sending out the emails.\n\nThe challenge is rather the effort needed to refine the draft for production, because no one feels comfortable taking the 1st drafted email from ChatGPT and send to real leads. Therefore, I refer to this problem as the 0.1 to 1 problem.\n\n### The personalization with deep research\n\nChatGPT is a commodity that everyone already has access to. So, writing a good cold email is no longer sufficient to get meaningful returns from campaigns. Relevance has already become the #1 indicator for a high reply rate. However, there are no effective tools available for conducting in-depth research on each lead and crafting personalized, unique emails for every individual.\n\nIn the market, many AI sales tools attempt to build rapport in cold emails by referencing LinkedIn activities, such as congratulating someone on a promotion or mentioning a recent post. However, leads can quickly recognize poorly generated personalization in these outreach efforts, which often lack genuine relevance. This undermines trust and reduces interest.\n\n# **The solution - Mocke: your cold email AI agent**\n\nMocke is a Cold Email AI agent that functions like Cursor. It reduces hours of cold email writing and deep personalization to just 60 seconds, delivering thousands of unique email messages that leads will love instantly. While it works alongside you, the AI agent handles most of the ideation, writing, polishing, personalization, and deep research, allowing you to achieve results without lifting a finger.\n\n### Step 1: Campaign idea\n\nMocke suggests campaign ideas. By simply entering your website, the AI agent identifies the ideal ICP, highlights the most suitable pain points for cold emailing (as not every pain point is effective for cold emailing), and provides a creative messaging angle designed to attract a lot of responses.\n\nYou can start not only with your website but also with your inbound website visitors, conference pre- and post-outreach, publishing a new case study, creating a new blog post, promoting a new AI feature, and more. Share any of these with Mocke, and the AI agent will develop a comprehensive outbound strategy for you.\n\nBelow is a basic example using [@Pylon](https://bookface.ycombinator.com/company/28069)’s website. (big fan of their product btw!)\n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/216b3b61-dd14-41ca-9838-5acb958e8d04)\n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/1595b949-d321-4eff-b84b-361df55b3934)\n\n### Step 2: Email template\n\nMocke writes email templates with embedded prompts. Refer to the Pylon example below.\n\nFor each email, AI agent may propose an engaging subject line, a creative value-based call to action (beyond a simple meeting request), and crucially, instructions for conducting deep research and personalization, presented as prompts in **\\[square brackets\\]**.\n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/dcad9216-12af-4494-ba86-d82f4cb52fee)\n\nWhat Mocke will do is to run deep research into a lead, the business behind, their department and teams, and all relevant information with regard to what AI agent is selling. Then with the targeted deep research, AI agent will generate a highly-relevant email for one lead.\n\n Just to highlight, in the Pylon example above, there are various prompts:\n\n* A paragraph prompt `[Write a short paragraph in 30 words or less. Ask the lead if their support team has experienced a large volume of support tickets in Q1 2026, and how they handle it. Must mention one specific technical product error message often asked by the lead's users. Must use deep technical terminology in the context of the lead's product. Must mention the lead's product name.]`\n* A phrase prompt `[describe the lead's team, in 3 words or less]`\n\n So you can choose from full delegation to AI to write content, or partially if you want to have finer control over customization.\n\n###  Step 3: Preview deep research and emails\n\nTo review the deep research and email writing, you can provide a lead's LinkedIn profile for the AI agent to conduct in-depth research and craft a personalized email in real-time. This ensures you feel confident about the dynamic content generated by the AI, based on the prompts embedded in the email templates.\n\n For this demo, I'm again using two potential leads of Pylon and have AI run deep research to write emails. You can compare them side-to-side to see the difference.\n\n \n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/4d2f6ca8-bda6-4264-bab1-295e51ba50c4)\n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/d773b48d-0501-4b35-83df-cb2364a6b508)\n\n### Ready to launch\n\nAfter completing the three steps in just 60 seconds, you can upload your list of leads. The AI agent will then conduct deep research and create personalized messages for each lead, one by one!\n\n# 🚀🚀🚀 **Ask**\n\nNo sign-up is required, and it's free to use. Simply visit our website <https://mocke.co/> and enter your website. In just 60 seconds, you'll receive a cold email that you'll truly like.\n\nMy ask: try it out with your website and share your honest feedback. Let us know  whether you love it or not.\n\n \n\n---\n\n---\n\n---\n\n---\n\n---\n\n— — — —\n\n---\n\n# How it works underneath\n\nIf you are still reading and interested to know a little more.\n\n### Email Writing Workflow\n\nFor each lead, Mocke would go through a few steps to write unique messaging per person and ensure it's relevant.\n\n1. Build a profile of the lead by scraping LinkedIn page\n2. Build a profile of the company of the lead by querying B2B databases\n3. Use [@Firecrawl](https://bookface.ycombinator.com/company/27152) (shout out to the team, amazing product as well!) to crawl website and/or targeted information search using its agent\n4. Use agentic loop to finish email writing, polishing, reviewing, scoring, and delivering\n\n### What can be found in deep research?\n\n1. Anything mentioned on main marketing website\n2. Anything mentioned in documentation\n3. Google searchable content if the results come back in the first page of SERP\n4. Top reddit relevant threads (same reason as above, indexed by Google)\n5. Personal and company LinkedIn profiles activities\n\n### What if AI can't find information?\n\nMocke AI agent will not generate inaccurate information, as we have safeguards in place. In the case of information not found, AI will write generic content, rather than specific reference of information.",
        "url": "https://www.ycombinator.com/launches/PYH-mocke-cold-email-ai-agent",
        "votes": 6,
        "created_at": "2026-02-27T21:25:23.038Z"
      },
      {
        "id": 93377,
        "title": "Mocke - Mock cold email campaigns",
        "tagline": "Know your reply rate in 1 min without launching",
        "body": "Hey, Matt and Daniel from Mocke (s22) here. We are beyond excited to launch a product that's never been seen before!\n\n# TLDR;\n\nMocke AI agent mocks running cold email campaigns. Get campaign results in 1 min, such as spam, open, reply, or unsubscribe. Mocke also reveals why each lead didn't open emails, ignore, or forward. Unlock insights of campaign failure (or success!) not even seen in real life.\n\nCompletely free to start.\n\n[Sign up here](https://mocke.co/)[ ](https://www.loom.com/share/3f83a2a5c8984bfe97a020843c29cb91)\n\n# **The problem, that we take personally** 😕\n\nAt Mocke, we send a huge amount of cold emails (for our startup journey, see it in the end). Our daily cold email sending volume is up to 1,000,000 per day to the entire world. And we've seen a wild range of performance outcomes: the best around 80% open / 25% reply / 10% interest, and the worst would be zero interest or replies. Granted, cold email is hard because of all factors driving the results: deliverability, messaging, cta, brand awareness, competition, PMF, etc. At our scale, we've built possibly all the tools and AI to maximize the performance, except for one thing:\n\n> _The messaging, or the message-market fit (MMF)_\n\nOn one day, we've seen a 10% interest rate for a given product, which easily generates 100 leads per day at our scale. The next day, we tried different messaging for the same product, just a minor tweak and prospect list, and got 0 replies. (Deliverability isn't our problem; our open rate never drops below 65% when we track it.)\n\n The problem is message-market fit. We cannot tell whether a message is going to resonate with this list of leads/personas/decision makers until we test it. We have to test it.\n\nSo here are the three core problems we are struggling with, and I'm sure you do as well:\n\n* 💔 **SLOW - Cold email takes a long time to test**. Every campaign with a multi-step sequence takes 2 weeks to 1 month to test.\n* 💔 **GUESSING GAME - Cold email gives no feedback**. If you have a 0% interest rate campaign sent to 1,000 people, why do people not respond? What's the problem? No one tells you, among those 1,000 people, why they don't care about your messaging. So you guess again and spend two weeks running another email copy.\n* 💔 **WASTE** - **You are burning through real people, real customers.** You can't test too hard on these real customers, as it's going to harm your reputation.\n\nThis is a real challenge that everyone has to go through. There is no solution so far. Until today.\n\n# **Meet Mocke**\n\nToday, we are introducing Mocke, the _world's first and only_ AI agent that mocks cold email campaigns exactly like real campaigns. Here is how Mocke works:\n\n1 - 📁 Upload your prepared campaign .csv file as usual to Mocke, 1-click to launch the (mocked) campaign\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/a4771fab-65ac-40f1-85f5-23f299ef3b68/1.png)\n\n2 - ⏰ In as little as 1 minute, the emails are sent, and the campaign results are ready for you\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/6efc67b5-1256-481a-9bd1-23a9bf65fb9e/2.png)\n\n3 - 📈 You can view all replies, positive or negative, forward, unsubscribe, out of office, etc., like a real campaign\n\n4 - 📊 Mocke **not only** reveals your predicted open rate, reply rate, interest rate, and unsubscribe rate, but you also get the following **critical** information:\n\n1. 🚯 How many people clicked Report SPAM\n2. 📨 How many people forwarded internally without letting you know\n3. 🗑️ How many people ignore/archive/delete\n4. 🤔 The leads' thoughts behind why people opened the email, why people read a 2nd time, why people reply, etc.\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/905bc8f8-a621-4fdc-b24f-28b943ed813e/3.png)\n\n5 -💡 Based on visible campaign outcomes and hidden lead actions above, the AI agent analyzes the campaign to provide unseen insights in real campaigns instantly.\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/7be52197-6573-45e3-818b-3dced14bd3fc/4.png)\n\nWith Mocke, the game with cold email has forever changed.\n\n* ❤️‍🔥 Instead of waiting for 2 weeks, **you get results in 1 min**\n* ❤️‍🔥 Instead of a guessing game \"why people didn't reply?\", **you know the exact reasons**\n* ❤️‍🔥 Instead of testing against real customers, **you test against them mocked, as many times as you wish**\n\nPersonally, I can't believe there is no such product in the world. We searched, but couldn't find any. So we made it for you, all of you looking at this comment now.\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/9762737c-dcf8-47ef-9113-2a32dfb27ed7/image.png)\n\n# Ask\n\n* If you run cold email campaigns, please upvote this post!\n* If you find cold email hard, please give it a try! [Get started for free](https://mocke.co/)\n* We are running a launch promotion, 50% off any paid plan if you sign up before August 31st. Use coupon code: MOCKEMAILPH",
        "url": "https://www.ycombinator.com/launches/OI5-mocke-mock-cold-email-campaigns",
        "votes": 11,
        "created_at": "2025-08-28T15:31:47.717Z"
      }
    ]
  },
  {
    "id": 26732,
    "name": "BricksAI",
    "slug": "bricksai",
    "former_names": [
      "Bricks",
      "Bricks Cloud Technologies",
      "Bricks",
      "BricksLLM",
      "Bricks"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/44f40e7576a25af3cfc86cc12b6a9b787a7e9a2c.png",
    "website": "https://www.trybricks.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "BricksAI is an open-source AI gateway that helps you manage how each of your services is calling different LLM providers.\r\n\r\nYou can create API keys with rate-limits, spend-limits, and expiration dates, then use them to make requests to different LLMs. With our SSO dashboard, you also get (1) role-based access control, and (2) fine-grained metrics (e.g. cost, number of requests, tokens) over each API key.",
    "one_liner": "Streamlining LLM application management for enterprises",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1692903729,
    "tags": [
      "Developer Tools",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bricksai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/bricksai.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/44f40e7576a25af3cfc86cc12b6a9b787a7e9a2c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 991808,
        "full_name": "Spike Lu",
        "title": "Founder",
        "founder_bio": "Emory University - Class of 2019\nSenior Software Engineer at Unity Technologies - 2019 - 2022",
        "is_active": false,
        "linkedin_url": "http://linkedin.com/in/spike-lu-38227b105",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/817e16bf6200d5b6aabff2fbc8e6e6ca8b360723.jpg"
      },
      {
        "user_id": 1109574,
        "full_name": "Donovan So",
        "title": "Founder",
        "founder_bio": "hi",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/donovanso/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f17567a5b90d99bec76614af844477bd36ac28d4.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 76778,
        "title": "🧱 BricksAI Cloud - Simple cost control & monitoring for LLMs",
        "tagline": "We help engineers protect and track their GenAI expenses",
        "body": "**Tl;dr**: Are you finding it difficult to track your LLM costs per project/user? Do you want to set a custom rate/spend-limit for each project/user?\n\n**Create a **[**free account**](https://www.trybricks.ai/sign-in)** and try us out today 😄**\n\nHey everyone, this is [**@Spike Lu**](http://linkedin.com/in/spike-lu-38227b105) and [**@Donovan So**](https://www.linkedin.com/in/donovanso/)! We're excited to share that we've launched [BricksAI Cloud](https://www.trybricks.ai/).\n\n# **The Problem**\n\nA lot of enterprise features are still missing from today's LLM providers, particularly:\n\n1. there isn't a good way of controlling LLM spendings in a granular way (e.g. per user/project/env/feature etc.)\n2. there isn't a good way of monitoring LLMs in a granular way\n\nBut building an LLM wrapper in-house takes away valuable engineering time from shipping features that actually drive business value.\n\n# **The solution**\n\nBricksAI Cloud is an [open-core](https://github.com/bricks-cloud/BricksLLM) SaaS solution that protects and monitors your LLM usage. We're a proxy, so instead of using API keys from your providers, you'd create and use Bricks API keys that come with custom limits (e.g. expiry date, rate-limit, or spend-limit).\n\n[**Demo video**](https://www.loom.com/share/fe0553312e8a4378b3467c12f22e8714?sid=39bbbec1-da60-4054-899a-9ce991b068a9) ⭐\n\n![uploaded image](/media/?type=post&id=76778&key=user_uploads/1109574/8811f428-392d-4533-973d-516979be917d)\n\nWe currently have official support OpenAI and Anthropic, meaning you’ll be able to accurately track your token usage and cost without any configuration. We also support integrations with custom models.\n\nOver the past few months, we have streamlined LLM operations for a wide range of clients, including a late-stage sustainability tech startup, a major leadership training nonprofit, a top European travel agency, and multiple AI startups.\n\nNow, we're opening up our tool to the world with the launch of BricksAI Cloud. We'd love to see how it can transform your GenAI stack.\n\n# **The ask**\n\n1. Star us on [**Github**](https://github.com/bricks-cloud/BricksLLM) ⭐\n2. Create a [free account](https://www.trybricks.ai/sign-in) and try us out today. _Heads up: we require a 15-min account activation call, this helps us get to know your use case better. Don’t worry, it’s super quick and casual!_\n3. Questions? Feedback? Feature requests? [Book a call with us](https://calendly.com/spike-at-bricks/coffee-chat-with-spike) or email [founders@bricks-tech.com](mailto:founders@bricks-tech.com).",
        "url": "https://www.ycombinator.com/launches/JyM-bricksai-cloud-simple-cost-control-monitoring-for-llms",
        "votes": 9,
        "created_at": "2023-12-11T21:19:06.212Z"
      },
      {
        "id": 74841,
        "title": "BricksAI🔐: A simple OpenAI access manager for enterprises",
        "tagline": "BricksAI helps enterprises develop LLM apps more securely",
        "body": "**Tl;dr:** [BricksAI](https://www.trybricks.ai/) helps enterprises develop LLM apps more securely. We do this through an access manager that can set a spend limit, rate limit and expiration date on individual API keys. \n\n**The Problem: OpenAI does not provide enterprise level security features**\n\n> _“You wouldn’t believe how many organizations are building OpenAI wrappers.”_\n>\n> _\\- A machine learning director at a unicorn startup._\n\nOpenAI does not have enterprise-level security features. A lot of companies need to build enhanced security features on top of what OpenAI offers before using them.\n\n> “We simply assign each team an OpenAI key”\n>\n> \\- A senior engineer working at a public fintech company.\n\nDeveloping OpenAI applications often means that developers have to share OpenAI key credentials with each other to speed up development.\n\nThere are several risks and drawbacks associated with this approach:\n\n* **Increased likelihood of security breaches**: more than 50% of breaches happen due to shared secrets\n* **No cost visibility**: no way of knowing what constitutes a $20k OpenAI bill\n* **No access control**: no source of truth for OpenAI access\n* **Degraded production performance**: OpenAI has an organization-level rate limit. One team’s experimentation with OpenAI could impact the performance of production OpenAI applications if not properly rate limited.\n\nAzure OpenAI service helps fill some of the gaps but this product is simply not available to users of GCP and AWS for competitive reasons.\n\n**The Solution: A self-hosted OpenAI access manager**\n\n[BricksAI](https://www.trybricks.ai/) checks all requests between your applications and different LLMs. We ensure every call is authorized, and does not exceed any traffic and cost limits.\n\nYou can create a custom API key with a **rate-limit**, **spend-limit**, and **expiration date** either programmatically or through our UI:\n\n![](https://lh6.googleusercontent.com/2PBxx_RzNu9dsiySB2IXD4ySeziMayS-afN25SnUBofJEuRla9tBclCHbLg1OGdj_87mHcr3NSI4SMgTkEUtSRHIQr0yLgK1Ty0ZZWnvKSAi4tCEcktVTexY0RkVakz6krMl7mU2m2CO0tvGxJ3W_7g)\n\nThen use the API key to access an LLM like you normally would. When a key reaches its limit (e.g. has expired), our gateway blocks off your requests:\n\n![](https://lh3.googleusercontent.com/nJ4yb431KR5fhWm-5SHhrxEddPFtRWb5kUD4z7Gw2i3gnn3IO4_p7a2aeIqPQhLyW2l1XOx_0J-nv_rVmPv8KHR7adRa3uVd6bzgBbYPPmlfCOhjUoIZe9qIOqrEX3Kd4A8kOmcH9zqcC9yonuZich8)\n\nIn addition, our enterprise offering includes \n\n* **SSO**: SSO integration\n* **Dashboard**: Dashboard view of the keys created\n* **Analytics**: Analytics on usage and cost by team and service\n* **Access Control**: Access control over who can view and create keys\n\n![](https://lh6.googleusercontent.com/B1ecI3KdyzeqrdPU6JRoYflPXpt-y3YiRGuf3wE0_n6gJZxKZX6bxnHCFXFvSh4Rf5MsCTXNWpZEEIsXnsSiEyBqCJ9_GIVaRyWb8BoT6xjITG2pN1SMtiuDLJCryMENyfbPY_Y-2vAfW0fgUjMRuZg)\n\n**Who are we?**\n\n![](https://lh3.googleusercontent.com/QVEctbu3DQ5cZPDkK_P_-9KGBcMg64t7qzcFlEpbO_EpUefLvVcu5ApqHH6oZYx0x8hBDxZdX7PdngRjIkCXp_6ALUFsAn9ZCrB636TWAQ2o5pr1J7z-GVEoYgplvK__JBvVpVnXdnv7Fq5KQXqQJdI)\n\n[Spike](https://www.linkedin.com/in/spike-lu-38227b105/) (on the right) was a senior software engineer at Unity for three years. He worked on an internal API gateway used by hundreds of developers.\n\n[Donovan](https://www.linkedin.com/in/donovanso/) (on the left) was a software engineer at Credit Suisse, building internal tools dealing with financial instruments used by institutional investors.\n\nWhile working on our previous [AI powered Figma to code idea](https://www.figma.com/community/plugin/1178847414663679049/Bricks---AI-Powered-Design-to-TailwindCSS-Code), we realized that developing applications using OpenAI credentials is easy to get started but poses huge security risks. After constantly hearing news about [leaked OpenAI keys](https://www.darkreading.com/application-security/cybercrooks-scrape-openai-keys-pirate-gpt-4), we are inspired to create a solution that helps make OpenAI development safer at enterprises.  \\\n\\\n**Interested in learning more?**\n\n* 📅 [Book a call](https://calendly.com/spike-at-bricks/quick-chat?month=2023-09)\n* ✉️ Email us at [spike@bricks-tech.com](mailto:spike@bricks-tech.com)\n* 🤝 Connect with us on [LinkedIn](https://www.linkedin.com/in/spike-lu-38227b105/)",
        "url": "https://www.ycombinator.com/launches/JT7-bricksai-a-simple-openai-access-manager-for-enterprises",
        "votes": 50,
        "created_at": "2023-09-13T21:28:53.172Z"
      }
    ]
  },
  {
    "id": 26733,
    "name": "Roxels",
    "slug": "roxels",
    "former_names": [
      "Trebu",
      "trebu"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cf53490864092dbff595fc62f53545226e16ac0.png",
    "website": "https://www.roxels.ai/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Roxels is a vision-enabled voice agent that can handle complex flows for your users. For example, it can onboard and give the “Collison Installation” experience to every customer, not just the first ten.",
    "one_liner": "Founder-level assistance whenever customers need it, at scale",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1657745629,
    "tags": [
      "B2B",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/roxels",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/roxels.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/roxels",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cf53490864092dbff595fc62f53545226e16ac0.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 310277,
        "full_name": "Daniel Akle Carranza",
        "title": "Founder",
        "founder_bio": "CEO at Roxels\n-\nCEO at Trebu\n-\nMexico GM at Branch\n-\nStanford MBA",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-akle",
        "x_url": "https://twitter.com/DAKCAR",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9c59fda214964627dfb449c2a032cb1401cc241.jpg"
      },
      {
        "user_id": 192266,
        "full_name": "Antonio Longoria",
        "title": "Founder",
        "founder_bio": "CTO at Roxels & trebu\nMechanical Engineer by training\nSelf-taught full-stack developer\nCo-founder of Skysset",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/antoniolongoria/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3df50c8b42fb0bb493d433868bca018a64bdafe7.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 65300,
        "title": "Trebu is a data sharing network to help companies in LATAM fight fraud and default.",
        "tagline": "We enable healthier financial products for underbanked populations.",
        "body": "### Our customers can access real-time information and use it to strengthen their credit models, while keeping control of their data.\n\n![uploaded image](/media/?type=post&id=65300&key=user_uploads/1046279/f30a1d00-91f1-4c9f-b600-6f55271653b9)\n\n### **What is the problem?**\n\n\\- High default rates make it harder to build sustainable lending companies without relying on increasing interest rates.\n\n\\- High interest rates lead to low retention.\n\n\\- Many of the same borrowers who are defaulting with one lending company, are also defaulting with others. \n\n\\- Borrowers are taking out multiple loans from various lenders in order to repay other loans.\n\n\\- Borrowers take out loans to repay other loans and get larger loan amounts, which leads to customer indebtedness.\n\n**What is our solution?**\n\n* A data sharing network for digital lending companies to reduce fraud and default.\n* Our customers can access real-time information and use it to strengthen their credit models, while keeping control of their data.\n\n**Backstory**\n\nAfter giving over 2 million loans as the general managers of Tala and Branch in Mexico, Daniel and Fran realized that many of the same borrowers who were defaulting with one company were also defaulting with the other, shedding light on the high risk of the market. Using the existing alternatives to underwrite is not enough as they are expensive and data is not recent enough to detect common risks. To change this, they partnered with Antonio to build Trebu.\n\n**Asks**\n\nIntros to anyone in risk and credit teams!! Head of Risk, Chief Risk Officer, VP of Risk of digital lending companies.\n\n**Offer**\n\nIf you are launching a lending product in Mexico we are happy to help you.\n\nLet's fight fraud and default: [www.trebu.io](http://www.trebu.io) ",
        "url": "https://www.ycombinator.com/launches/GzE-trebu-is-a-data-sharing-network-to-help-companies-in-latam-fight-fraud-and-default",
        "votes": 30,
        "created_at": "2022-08-11T16:33:12.780Z"
      }
    ]
  },
  {
    "id": 26738,
    "name": "Integration Labs",
    "slug": "integration-labs",
    "former_names": [
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        "id": 64913,
        "title": "BlueHill Payments 💳 - Payment Workflows For Scale",
        "tagline": "Lower merchant fees and increase payment acceptance by choosing the right payment processor to use for each transaction",
        "body": "## **TL;DR:**\n\nBlueHill makes it easy to connect to different payment service providers and start taking digital payments. We do this by integrating with different payment gateways and offering you the best rates across all payment options for each transaction.\n\n## **🤕 The Problem:**\n\n* As businesses scale, they begin to outgrow their payment systems, leaving them to use multiple tools and software to manage their revenue operations.\n* Maintaining multiple systems increases vendor lock-in and forces businesses to spend more on fees when accepting digital payments.\n* It’s difficult to get lifecycle analytics across multiple payment service providers\n\n## **🤩 The Solution - BlueHill**\n\n![uploaded image](/media/?type=post&id=64913&key=user_uploads/927793/19dd5cc9-72bb-4988-97ea-999e0bfdec8c)\n\n* ✅  Manage all of your revenue and transactions in one place\n* ✅  Use your existing payment service providers\n* ✅  See customer transaction history, LTV, and revenue graphs in real time\n* ✅  Save time and increase billing efficiency\n\n### **🧠 Intelligent Routing Platform:**\n\nBlueHill can support all your payment-related business needs, whether its fast settlement, lower fees or tiered billing with an easy-to-use Dashboard or API. Route transactions to service providers based on rates and business priorities.\n\n![uploaded image](/media/?type=post&id=64913&key=user_uploads/927793/b3438206-ff38-46e7-9479-7456c3247e52)\n\n## **🚀 Our Ask - Join our Pilot**\n\n* We want you! Interested in BlueHill’s solution? Contact us at [founders@bluehillpayments.com](mailto:founders@bluehillpayments.com) or go to <https://bluehillpayments.com>\n* Additionally, **if you know any businesses looking to streamline their complex payment operations** and are willing to make an intro please **email us directly**. Any help is appreciated.",
        "url": "https://www.ycombinator.com/launches/Gsz-bluehill-payments-payment-workflows-for-scale",
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        "full_name": "Max Lu",
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        "title": "Founding Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/paragon-ai/jobs/2txf8hg-founding-enterprise-account-executive",
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        "date": "Mar 21, 2023"
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      {
        "title": "7 AI startups that stood out in YC's Summer '22 batch",
        "url": "https://techcrunch.com/2022/09/08/7-ai-startups-that-stood-out-in-ycs-summer-22-batch/",
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        "id": 65138,
        "title": "Pilot AI - turns your sales calls into CRM data, automatically",
        "tagline": "Never update a CRM record again - turns every sales calls into detailed notes and structured data that updates your CRM directly.",
        "body": "**tl;dr** [Pilot](https://www.getpilot.ai/) produces detailed notes and field updates that directly update the CRM after every sales call. For reps, this eliminates hours of admin work a week spent reviewing calls and updating the CRM (instead of selling). For sales leaders, this is the only way to ensure that high-quality data is produced and logged from every sales call.\n\nHi everyone, I’m Max - the founder of Pilot AI.\n\nI’ve previously worked as a software engineer at Salesforce, built and scaled Tech & Product at Clipboard Health (W17), and then built out Revenue Operations at Welcome (S20), where it was my job to chase down sales reps every week to update Salesforce. Our reps could spend two hours a day going back through calls to take detailed notes and update the CRM - they all complained loudly about it, and they could have spent that time selling more.\n\nPilot frees up all of this wasted time through automation and makes it possible to maintain a clean CRM that can be used to produce accurate forecasts.\n\n![uploaded image](/media/?type=post&id=65138&key=user_uploads/1028295/b95d6aca-12e8-4c0f-b641-c01c8d281c49)\n\n## **What’s the problem?**\n\nSalespeople can spend 25% of their day writing up notes and updating the CRM, which they could spend generating more revenue. Every salesperson despises this part so much that frequently, they just don’t do it. This causes numerous problems including making deals difficult to review, handoffs impossible and forecasting inaccurate.\n\n## **The Solution?**\n\n**Stop relying on salespeople to take notes and update the CRM**.\n\nPilot is an AI assistant that generates detailed notes and structured data that call that updates the CRM for every call. The notes are easy to read and don’t include the rambling, small talk and pauses of the conversation but instead capture the most important points. \n\nForm every conversation, Pilot produces:\n\n1. A scannable summary\n2. Datapoints that map to CRM fields\n3. Every question asked by the rep and the most important parts of the prospect's answer\n4. Additional essential points that the prospect made during the call\n\n## **We'd love to hear from you!**\n\nIf you’re facing this problem in your organization - we’d love to show you our magic trick. [Schedule a demo!](https://calendly.com/max-pilot-ai/30min)\n\nIf you’re thinking of a sales leader that this would help, we’d love an intro! [max@getpilot.ai](mailto:max@getpilot.ai)\n\nWe’re always interested in talking to reps as well; send me an email if you’d like to use Pilot!\\\n\\\n<https://www.getpilot.ai/>\\\n[max@getpilot.ai](mailto:max@getpilot.ai)",
        "url": "https://www.ycombinator.com/launches/Gwc-pilot-ai-turns-your-sales-calls-into-crm-data-automatically",
        "votes": 45,
        "created_at": "2022-08-04T17:48:02.591Z"
      }
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    "id": 26742,
    "name": "Boostly",
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    "website": "https://boostly.com",
    "all_locations": "Lehi, UT, USA",
    "long_description": "Boostly provides everything necessary for restaurants to attract new guests and turn them into regulars. From AI-powered SEO, paid ads, behavioral-based text marketing with gamified engagement, and AI driven reputation management, Boostly provides 10x greater guest engagement when compared to others in the industry.  \r\n\r\nBoostly’s patented processes enables them to build opted-in subscriber lists bigger and faster than anyone on the market.",
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    "team_size": 50,
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        "full_name": "Shane Murphy",
        "title": "Founder",
        "founder_bio": "Shane is the Co-founder and CEO of Boostly. He previously ran sales for Jolt, a restaurant operations software company (acquired by Digi for $145M), and was a sales leader, early team member, and investor in American HealthCare Lending (acquired by Prosper Marketplace for $21M). He previously founded an online ordering company which was acquired by StrideQ.",
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        "is_active": true,
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        "url": "https://www.boostly.com/blog/boostly-announces-5-6-million-in-seed-round-funding",
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        "url": "https://smartpizzamarketing.com/text-marketing-how-to-do-it-well-w-shane-from-boostly/",
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        "title": "Boostly (S22): Text Marketing & Feedback on Autopilot for Restaurants",
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        "body": "**We provide an automated text marketing and feedback system to restaurants that works seamlessly with their point of sale and online ordering systems.** Our restaurant partners typically get $10-$15 back for every dollar that they spend with us.\n\nWe founded Boostly in 10/2017 and went through a few pivots before we landed on this current concept that we’ve grown to roughly $1M in annual revenue through outbound sales. We’re just getting warmed up and plan to grow our marketing channels during YC. \n\n## **Problems**\n\n* Restaurants live or die based on their ability to get their customers ordering regularly, but over 60% of a restaurant's customer base never make it in for a 2nd visit.\n* Customer data is notoriously hard for restaurant owners to access because it’s in several different systems with various accessibility challenges.\n* Restaurant owners are strapped for time and often lack any marketing know-how.\n* Most restaurant marketing lacks good tracking to know exactly how it’s working.\n\n## **Our Solution**\n\n* We aggregate customer data from several data sources for the restaurant & get customers to opt in to receive texts from the store.\n* We put text marketing on autopilot with weekly offers, birthday deals, & relevant reminders.\n* While the customer eats, we solicit feedback via a 2 click survey and help to connect the restaurant with the guest if there was an issue or generate a 5 star review on Google.\n* We track the restaurant’s ROI across all of their sales channels (online, over the phone, or in-store).",
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        "founder_bio": "After a PhD in Distributed Systems, Samuel was an early employee of Criteo, the Technology Innovation leader at S4M, co-founder & CTO at Make.org, and an independent coach/advisor of start-ups & data teams.  Over the years he refined his skills and became an expert in DevOps/DataOps and at managing tech teams.\nHe is now founder & CTO at Numind.ai.",
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    "long_description": "Financial statements are definitely a hassle for business owners. Many accounting software are available, yet not everyone has the capability to operate them.\r\n\r\nAmidst this problem, Delegasi dares to provide a solution. As the first virtual financial manager in Indonesia, we assist SMB owners in putting together their financial statements and business analysis. By simply uploading receipts and bank statements, owners will receive their financial statements and business analyses with guaranteed accuracy, allowing them to make well informed financial decisions.",
    "one_liner": "Automated accounting service for small businesses in Indonesia",
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        "full_name": "Okky Pratama",
        "title": "Founder",
        "founder_bio": "Okky has an MBA from MIT, and he was Senior VP of Business & Operations for Modal Rakyat (Fazz Financial Group) before starting Delegasi. He is passionate about finance and analytics, he even reads financial statements as a hobby.",
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        "user_id": 857522,
        "full_name": "Ans Syuhada",
        "title": "Founder",
        "founder_bio": "Anshorimuslim (Ans) is technology and social cause enthusiast. Ans has wide range experiences from product development to data intensive system and leadership role. He also actives to nurture tech community and giving talks. His recent deck and writings can be seen on https://speakerdeck.com/ans4175 - https://ans4175.dev/\n\nHe is on quest helping Food and Beverages Industries understand their Finance Statement better for scaling their company better. Business Intelligence for everyone.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/anshorimuslim",
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        "title": "Delegasi - The first automated accounting service for Small Businesses in Indonesia",
        "tagline": "An automated accounting service that connects to your POS data for small businesses in Indonesia, starting with restaurants and cafes.",
        "body": "👋 Hi we are Okky and Ans, founders of Delegasi.\n\nWe assist small business owners in putting together their financial statements and analysis automatically. To generate the financial statements, business owners can simply connect their POS and upload their receipts.\n\n—\n\n## ❓ The Problem\n\nAccounting is always a hassle for small business owners. As they need to handle lots of things (marketing, operations, purchasing, etc.), finding time for accounting is too hard. Not to mention, they need to learn accounting to do it properly.\n\nMany accounting software have claimed to help make the process faster and easier, yet many business owners we spoke with stop using them in the first 1-2 months, even after paying a one year subscription fee. Turns out, these software are still too complicated for users without accounting knowledge.\n\n## ✅ **Our Solution**\n\nIf you are a restaurant owner, you can simply:\n\n1. Connect your POS and food delivery service data;\n2. Upload your receipts, bank statements, and stock opname data; and\n3. Your financial statements and analysis are ready\n\nWith Delegasi, no manual input nor accounting knowledge are needed to generate your financial report. Additionally, you will get financial analysis that is catered to restaurants and cafes’ owners.\n\n![uploaded image](/media/?type=post&id=65034&key=user_uploads/857522/d23ceef6-9399-4cc0-a253-0f93f3316faa)\n\nSeveral analysis that we provide\n\n![uploaded image](/media/?type=post&id=65034&key=user_uploads/857522/0f1fe63a-03c0-4ba8-b9b3-33faa52fb34a)\n\n![uploaded image](/media/?type=post&id=65034&key=user_uploads/857522/5533c32f-d4f2-41b7-a3aa-4bb3ce4d6294)\n\n### 🗒️ **Founders Backstory**\n\nWe have known each other for more than twelve years since college. In early 2021 we started to try finding solution for restaurant and cafe owners around staff hiring problems. Turned out, every businesses that we pitched always mentioned accounting as one of their most painful problems. Thus, we took major pivot and tried to find solution on this one. We helped our friends’ businesses and crafted our first products. After experimenting for a few months, we received positive feedback and realized that this could become huge 📈. That was how we started Delegasi 🚀\n\n### 🌐 **Visit Us**\n\nVisit our website (in Bahasa) at <https://www.delegasi.co/> and our Instagram account <https://www.instagram.com/delegasi.co/> 🙏🙏\n\n---",
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    "country": "DE",
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        "full_name": "Dustin Lange",
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        "id": 79742,
        "title": "IvyCheck – Guard against AI risks with real-time checks",
        "tagline": "An API for ensuring the integrity and safety of your AI application",
        "body": "**TL;DR:** [IvyCheck](https://www.ivycheck.com/) offers an API designed for classifying user- and AI-generated texts, along with extracting sensitive data. Our specialized machine-learning models ensure the safety and quality of your AI app in real-time.\n\n![uploaded image](/media/?type=post&id=79742&key=user_uploads/825709/1100f870-2ce1-44f4-a45f-2c1f640a2867)\n\n### What are AI risks?\n\nAI-powered interfaces such as chatbots emerge and pose **new AI risks:**\n\n* **Prompt Injection Attacks:** Attackers try to manipulate language models to execute unauthorized actions or access sensitive data. These attacks exploit the way AI interprets inputs as natural language text. Prompt injection attacks create a risk that spans from data exfiltration to influencing decision-making processes.\n* **PII Data Leakage:** Customers may include sensitive data in requests that are then sent to LLM providers. Companies must ensure that sensitive data is detected and redacted from requests.\n* **Hallucinations:** Chatbots in RAG applications use context retrieved from document stores, posing the risk of hallucinated, inaccurate, off-topic, or made-up information to users. IvyCheck evaluates whether chatbot answers are faithful to the provided context.\n\n![uploaded image](/media/?type=post&id=79742&key=user_uploads/825709/84a94c2d-9885-461e-a9f0-0724ccf1748a)\n\n### How does IvyCheck help?\n\nIvyCheck provides a library of checks for managing AI risks in your application. IvyCheck is:\n\n* **Flexible**: You can add checks to your LLM app with **just 2 lines of code** and protect your users and your data from prompt injection attacks, PII data leakage, and hallucinations. Works regardless of which LLM provider you use in your app.\n* **Secure**: We use customized, fine-tuned models for the checks. We self-host all our models and your data is not sent to third-party model providers.\n* **Fast**: Since the models are small and specialized, you can expect a latency under 100-200 ms. If you require even faster endpoints, please get in touch!\n\n### The founding team\n\n![uploaded image](/media/?type=post&id=79742&key=user_uploads/825709/6e2a1539-300a-4ab5-ac5a-46318b4e89d2)\n\nWe’re [Tammo](https://de.linkedin.com/in/tammo-rukat-34529471) (left) and [Dustin](https://www.linkedin.com/in/dustin--lange/) (right). We met at Amazon, where we were part of the Core Machine Learning team in Berlin. We worked on systems for large-scale data quality checks, missing value imputation, and search filter optimization. We’re both obsessed with delighting our customers and solving their toughest challenges! Let’s create a safer world with AI.\n\n### How do I get started?\n\nVisit [https://ivycheck.com](https://ivycheck.com/) or [book a call](https://ivycheck.com/request-demo) directly with us. We’d love to get in touch and help you make your AI app safe today!",
        "url": "https://www.ycombinator.com/launches/KkA-ivycheck-guard-against-ai-risks-with-real-time-checks",
        "votes": 5,
        "created_at": "2024-03-27T14:54:09.208Z"
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        "id": 74336,
        "title": "Deekard - Instant answers from your database with AI",
        "tagline": "Stop waiting on data teams, guessing at undocumented schemas, and debugging SQL. Start getting answers.",
        "body": "**TLDR:**\n\nDeekard is your one-stop shop for fast and easy data analysis. Just enter your database details, ask your burning questions, and let Deekard do the rest. Forget waiting on your data team - it’s time to get your answers fast.\n\n**Problem:**\n\nYou are collecting data about your business and want to become more data-driven in your decision-making. But you’re hitting some speed bumps:\n\n* **Waiting game:** You’re stuck in a queue, waiting for your data team to free up and handle your request. They can’t update the dashboards fast enough or don’t have time to work on your ad-hoc data requests.\n* **No time to write SQL**: You’ve got a business to run, not a course in SQL to take. It should be simple to run your database queries, not a guessing game.\n* **Documentation? What documentation?** You look at your team’s data warehouse and you don’t understand what’s in there. There’s no documentation and you have no idea if that column really contains the data you hope for.\n\n**Solution**\n\nDeekard gives you a powerful, integrated analytics experience - powered by AI. Connect your database and you’re ready to go.\n\n![uploaded image](/media/?type=post&id=74336&key=user_uploads/825709/f9b112f8-94be-4f61-a329-3ce789b49b53)\n\n* **Requests in plain English**: Get started with your request in natural language and Deekard takes care of translating it into a database query. Refine your request with a graphical query builder - or just edit the plain English request. You can also switch to SQL mode - _and back -_ whenever you like.\n* **Explore your database**: See what’s _inside_ your database. Deekard automatically profiles your data and creates that missing documentation for you. This helps with writing queries that actually work.\n* **Team effort**: Share the AI-powered query editor and unblock your whole team. They can instantly reuse your database connection and ask their own questions.\n\n![uploaded image](/media/?type=post&id=74336&key=user_uploads/825709/3623b336-0a6f-44ec-a3f8-9c8d5babf861)\n\n**Ask:**\n\nTry Deekard! Start at [deekard.com](https://www.deekard.com). Tell us what you think at [founders@deekard.com](mailto:founders@deekard.com).\n\nIf you have a few min for a chat about Deekard, please book time with us [here](https://calendly.com/d/dxz-ddm-67k/deekard-call).\n\nThank you!\\\nDustin and Tammo",
        "url": "https://www.ycombinator.com/launches/JKy-deekard-instant-answers-from-your-database-with-ai",
        "votes": 15,
        "created_at": "2023-08-23T13:49:23.717Z"
      },
      {
        "id": 71231,
        "title": "🤖 Deekard - Your autonomous assistant for data science and analytics",
        "tagline": "We use generative AI to make all data tasks effortless and accessible: extract, transform, analyze, and visualize data using only natural language.",
        "body": "Hey everyone! We’re Tammo and Dustin from [Deekard](https://www.deekard.com/).\n\n**_TL;DR:_** _Deekard is an all-in-one data science and analytics assistant. Connect your data source and get any question answered and any task executed, using only natural language. Powered by GPT-4, our AI model understands your intent, plans workflows, and executes them step-by-step._\n\n**The Problem**\n\nData science involves a wide range of skills, tools, and formats, which can be challenging to learn and manage. Tasks like extracting data with SQL, training machine learning pipelines with Python, and visualizing data using frameworks such as Vega are time-consuming, iterative, and error-prone.\n\n**Our Solution**\n\nDeekard simplifies data science by offering a chat interface where you simply state what you want to do and watch the AI select the right tools in the right order. Like in a data science notebook, you can refer to previously created datasets and refine or combine them later in the conversation. Data science has never been easier or more approachable.\n\n![uploaded image](/media/?type=post&id=71231&key=user_uploads/825709/1d06fb3a-336e-4c6f-b93a-ce38f4a0a6f1)\n\n**Features**\n\n📚 Database: Write queries in natural language and let Deekard translate them into SQL for you! Simply state your query, and you'll receive the result table.\n\n🐍 Python: Transform data or apply machine learning models with ease. Just write your request, and Deekard translates it into Python code and executes it. You'll get the results in no time.\n\n📊 Visualization: Generate charts with natural language. Deekard translates your request into Vega-Lite specifications and creates beautiful visualizations. Apply changes to charts just by writing them down.\n\n🧠 Wikipedia: Enrich your datasets by retrieving tables from Wikipedia. Just write your request, and Deekard will access the world's greatest knowledge base for you.\n\n🎯 Task Organization: Write complex requests, and Deekard will split them into multiple tasks that are executed in the right order.\n\n**Start Today**\n\nYou can start using Deekard today at [deekard.com](http://deekard.com). \n\nThank you for your support, and we look forward to hearing your thoughts on Deekard! 🎉",
        "url": "https://www.ycombinator.com/launches/IWt-deekard-your-autonomous-assistant-for-data-science-and-analytics",
        "votes": 13,
        "created_at": "2023-04-27T14:07:14.366Z"
      }
    ]
  },
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    "id": 26768,
    "name": "Disclo",
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    "website": "http://www.disclo.com",
    "all_locations": "Austin, TX, USA; Remote",
    "long_description": "Disclo is the first software for employers to collect, verify, and manage health disclosures and employee accommodation requests (HIPAA and SOC2 compliant, of course).\r\n\r\nWe help employees secure the enhancements and protections they need to succeed in their careers without having to disclose their underlying medical condition to their employer. We handle the collection of that data, the verification, the secure data management, and much more.\r\n\r\nUsing our patent-pending medical verification system, Disclo validates that an employee's accommodation request is legitimate and required, interacting with medical providers directly, so HR managers can focus on what they do best. We help companies stay compliant with EEOC, ADA, and HIPAA guidelines.",
    "one_liner": "Health disclosure and accommodation management platform",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1651770538,
    "tags": [
      "Human Resources",
      "B2B",
      "Compliance",
      "HR Tech"
    ],
    "tags_highlighted": [],
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    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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      "Human Resources"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": true,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/disclo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/disclo.json",
    "year_founded": 2019,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/disclo/",
    "x_url": "https://twitter.com/disclotime",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/disclo",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e168db75ab4f6e439a5dece49f30bdbbbedfd7f6.png",
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    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 1038798,
        "full_name": "Hannah Olson",
        "title": "Founder",
        "founder_bio": "Hannah Olson is the Co-Founder and CEO of Disclo, the first software helping employees safely ask for, verify, and act on accommodation requests at work. Hannah’s own experience navigating her career while undergoing intensive treatment for Lyme disease sparked the idea for her first venture, Chronically Capable, which became one of the largest and most-used disability recruiting platforms in the world. ",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/hanrosols",
        "x_url": "https://twitter.com/hanrosols",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8318f2fe2c204e76987c54288736431599022720.jpg"
      },
      {
        "user_id": 291328,
        "full_name": "Kai Keane",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kaikeane",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08f4af5747bdc73245fa889b60d31c640fae2cda.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Hannah Olson",
        "url": "https://www.forbes.com/profile/hannah-olson/?list=30under30-enterprise-technology/&sh=1340907742ea",
        "date": "Nov 28, 2023"
      },
      {
        "title": "The Fight Over Return-to-Office Is Turning Into a Disability Dispute - WSJ",
        "url": "https://www.wsj.com/lifestyle/careers/the-fight-over-return-to-office-is-turning-into-a-disability-dispute-fc5538e2",
        "date": "Nov 02, 2023"
      },
      {
        "title": "Pitch Deck Disclo Used to Raise $5 Million From General Catalyst",
        "url": "https://www.businessinsider.com/pitch-deck-disclo-used-to-raise-5-million-general-catalyst-2023-2",
        "date": "Feb 21, 2023"
      },
      {
        "title": "Disclo aims to inspire inclusive workplaces - starting with disability accommodations • TechCrunch",
        "url": "https://techcrunch.com/2023/02/01/disclo-aims-to-inspire-inclusive-workplaces-starting-with-disability-accommodations/",
        "date": "Feb 01, 2023"
      },
      {
        "title": "Only 4% Of Employees Disclose A Disability, But New HR Tools And Training Could Upend That Trend",
        "url": "https://www.forbes.com/sites/denisebrodey/2022/10/18/only-4-of-employees-disclose-a-disability-but-new-hr-tools-and-training-could-upend-that-trend/",
        "date": "Oct 19, 2022"
      }
    ],
    "launches": [
      {
        "id": 64946,
        "title": "Disclo - Health disclosure and accommodation management platform",
        "tagline": "Helping companies provide workplace accommodations in a safe & compliant manner",
        "body": "_TLDR;_ [_Disclo_](https://www.disclo.com/) _helps employers maintain compliance by verifying, managing, and reporting on disability disclosure and accommodation requests in the workplace. We’re helping qualified employees secure the accommodations they need to succeed at work without having to disclose their underlying medical condition to their employer._\n\nHi everyone! We’re [Hannah](https://www.linkedin.com/in/hanrosols/) & [Kai](https://www.linkedin.com/in/kaikeane/), the co-founders of Disclo. In two years, we built one of the most-used disability recruiting platforms in the world, [Chronically Capable](https://www.wearecapable.org/). Through working with leading employers such as Meta, Levi Strauss, Lululemon, and more, **we landed on a major pain-point in today’s workplace: health disclosures are complicated, messy, and come with risk for both employees and companies.**\n\n![uploaded image](/media/?type=post&id=64946&key=user_uploads/1038798/3c6fec5f-786e-4dea-840f-98d2f0850031)\n\nWe are dedicated leaders in the disability community, and our co-founder Hannah experienced this pain-point herself when she entered the workforce after college and struggled to disclose her chronic illness. **We’re here to support over 60% of adults in the U.S. who live with some form of chronic health condition or disability.**\n\n### ❌ Managing employee health disclosures is extremely messy, risky, and expensive for employers\n\n1. It is illegal to store medical data inside of an HRIS (eg. Workday)\n2. Disability lawsuits now make up ⅓ of EEOC cases…and they’re on the rise!\n3. HR teamss are spending an enormous amount of time managing requests\n4. HR managers are not equipped to handle requests. They also do not have medical knowledge to deem requests as “reasonable”.\n\n### ✅ It’s Disclo time! Here’s how we’re tackling this massive problem in today’s workforce\n\n1. Integrate with your HRIS and collect employee accommodation requests in a compliant and confidential manner.\n2. [Disclo](https://www.disclo.com/) verifies the necessity and validity of requests directly with medical providers. \n3. Administer workplace accommodations and manage requests in our HIPAA and SOC2 compliant portal.\n4. Real-time data on costs, time spent, aggregated health data, cost of accommodations and more. + Track against EEOC and ADA requirements!\n\n![uploaded image](/media/?type=post&id=64946&key=user_uploads/1038798/f3f8b413-2a92-4851-874d-355287402a1c)\n\n### ❓Do you know HR or Employee Relations professionals?\n\nWe’re looking to connect with HR leaders looking to stay compliant while supporting the needs of their employees. If you know one, or are one, come Disclo with us! Feel free to send us an email at [founders@disclo.com](mailto:founders@disclo.com). And [join us on LinkedIn](https://www.linkedin.com/company/disclo/) too!",
        "url": "https://www.ycombinator.com/launches/GtW-disclo-health-disclosure-and-accommodation-management-platform",
        "votes": 196,
        "created_at": "2022-07-27T20:24:29.340Z"
      }
    ]
  },
  {
    "id": 26776,
    "name": "Overwatch",
    "slug": "overwatch",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1def1e618878c538c08d4635fb23a133ed14d476.png",
    "website": "http://www.overwatchdata.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Overwatch Data offers real-time AI agents to scale fraud, cyber, and security teams. Our agents automate the threat intelligence and brand protection workflow, while also conducting risk reviews at scale to detect fraud and financial crime.",
    "one_liner": "Enterprise software for enterprise risk and cyber fraud intelligence",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1657829137,
    "tags": [
      "Cybersecurity",
      "Fraud Prevention",
      "Fraud Detection",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/overwatch",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/overwatch.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/overwatchdata/",
    "x_url": "https://twitter.com/Overwatch_data",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1def1e618878c538c08d4635fb23a133ed14d476.png",
    "app_video_url": null,
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    "founders": [
      {
        "user_id": 977105,
        "full_name": "Arjun Bisen",
        "title": "Founder",
        "founder_bio": "I started my career as an Australian diplomat, during which time I analyzed geopolitical and cyber risk across APAC and writing Australia's Cyber Engagement Strategy. I then studied the intersection of technology and risk at Harvard on a full Fulbright scholarship. I've since led risk teams at Stripe and Google Search before founding Overwatch to help those teams get ahead of emerging cyber, fraud, and financial crime risks. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arjun-bisen/",
        "x_url": "https://twitter.com/ArjunBisen1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35718f1a274cd5ca0063277cf94d8ea427b33a52.jpg"
      },
      {
        "user_id": 1081618,
        "full_name": "Zara Perumal",
        "title": "Founder",
        "founder_bio": "Co-founder / CTO at Overwatch Data\n\nZara studied Artificial Intelligence and Cybersecurity at MIT LIDS/CSAIL focusing on active learning for malware detection and risk-limiting post-election audits. After graduating, Zara worked on Google Assistant then at Google’s Threat Analysis Group,  where she built machine learning and software systems to use threat intelligence and malware analysis to better protect against targeted threats and disinformation by state sponsored actors.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zperumal/",
        "x_url": "https://twitter.com/zaraperumal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4cf5bf21b04591b4d94995d4372e5b115c12e836.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "What launching a startup taught me about foreign policy | The Hill",
        "url": "https://thehill.com/opinion/international/3757491-what-launching-a-startup-taught-me-about-foreign-policy/",
        "date": "Dec 01, 2022"
      }
    ],
    "launches": [
      {
        "id": 64636,
        "title": "🌍 ⚠️ Overwatch - Automating global risk detection and analysis",
        "tagline": "Monitor data streams, including news and satellite imagery, for narratives and events that will impact operations, supply chain, and reputation",
        "body": "Hey YC! Tad, Zara and I are excited to launch [Overwatch 🦉](http://www.overwatchdata.io)​ - to help automate global risk detection and analysis. Our tool allows enterprises to monitor data streams, including news and satellite imagery, for narratives and events that will impact their operations, supply chain, and reputation. Our tool can be used for live monitoring OR historic due-diligence on a location.\n\n**😠The Problem**\n\n* Businesses have many points of failure in their global operations and struggle to monitor all the locations and narratives that matter to them \n* Current event detection tools are often noisy and don't provide any context on why that event might be significant to a specific business.\n\n \n\n**🔨Our Solution**\n\nWe cut through the noise.\n\n* We help companies filter more accurately for events and narratives that matter to them.\n* We provide visualizations of how those events or narratives have changed over time and layer these events on top of other datasets, e.g. satellite imagery, shipping routes, trade data, commodity production sites, flood and fire maps, and other risk indices. \n* This helps draw connections and provide a holistic picture of how that event could impact their business.\n\n![](https://lh3.googleusercontent.com/OdI55U0rZf6ZSicyHS8BtsJ-xIY54kVTVw4wAojwTV6qvKYY-ZIjOc3Ae8hyKLVyYCNhE7YhFupIv-x9poZABJ-d7F8Mq3h1cc_E4C-l0M5k4c0OZRZOloKzWBee6FSH0qjsF7NXv7qJZphCiWONUs8)\n\n![](https://lh5.googleusercontent.com/dWmnLh1Pj0BJC39LrVN9R-j2u0hdrEbmj_qk_i5WcD0p9W0GGvU8a2sEWnwPjRTr_JaxqvavyJnCQtpkRgomQ018TbDsqPnT1Tlfe2J5ZgUDvgER0iIyrkai3_4FCHXU0IDwXOSWpOu7JQj-g05g2NU)\n\n**The Ask❓**\n\n* Do you (or anyone you know) struggle to detect, analyze, or predict events and narratives that could disrupt your business operations, brand, or supply chain? Then please reach out to ([founders@overwatchdata.io](mailto:founders@overwatchdata.io)) or [book a call](https://calendly.com/arjun-overwatch/30min) and we’d love to help.\n* Are you a data provider with interesting risk-related data? We’d love to discuss how we might incorporate it into our product.",
        "url": "https://www.ycombinator.com/launches/GoW-overwatch-automating-global-risk-detection-and-analysis",
        "votes": 18,
        "created_at": "2022-07-14T20:09:34.423Z"
      }
    ]
  },
  {
    "id": 26779,
    "name": "Notebook Labs",
    "slug": "notebook-labs",
    "former_names": [
      "Notebook"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e9598aadf454f0b2c80558c3295465a4baabbcc.png",
    "website": "http://www.notebooklabs.xyz",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Notebook solves the Web3 identity problem by using Zero-Knowledge to provide both anonymous proof-of-humanity and credential aggregation. Notebook initially verifies users’ identifying information to ensure that each person has just a single Notebook. Neither Notebook, nor any other company knows the link between a user’s personal information and their Notebook. Once a user’s Notebook account is created they can begin proving their humanity and aggregating their credentials across wallets.\r\n\r\nNotebook can be used to increase the safety of DeFi, governance, and airdrops. With Notebook, creators and communities can run Sybil-resistant airdrops, DAOs can verify the humanity and aggregate the credentials of participants, and lending protocols can build credit scoring systems to offer lower-collateralized loans. ",
    "one_liner": "Decentralized, anonymous, and accountable identity on Web3.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1660771474,
    "tags": [
      "DeFi",
      "Crypto / Web3",
      "Identity"
    ],
    "tags_highlighted": [
      "Crypto / Web3"
    ],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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        "full_name": "Nathaniel Masfen-Yan",
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        "founder_bio": "Solal has a background in math and theoretical computer science. He grew up in the Middle East and competed internationally for the French math team. Passionate about blockchain infrastructure, cryptography, and identity.",
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        "full_name": "Dhruv Mangtani",
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        "title": "Bain Capital Crypto Leads $3.3M Round for Privacy-Focused Identity Protocol",
        "url": "https://www.coindesk.com/business/2022/10/27/bain-capital-crypto-leads-33m-round-for-privacy-focused-identity-protocol/",
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        "id": 65473,
        "title": "🔑 Notebook Labs: Anonymous, Accountable, Self-Sovereign Identity",
        "tagline": "We help Web3 organizations trust their users without compromising their anonymity",
        "body": "Hi everyone, we are [Nat](https://www.linkedin.com/in/nathaniel-masfen-yan-99701417b/), [Solal](https://www.linkedin.com/in/solal-afota-845067202/) and [Dhruv](https://www.linkedin.com/in/dhruvmangtani/), and we are stoked to present [Notebook Labs](https://notebooklabs.xyz)! 🚨[📈](https://emojipedia.org/chart-increasing/)\n\n**TL; DR:** Notebook uses Zero-Knowledge to set a new standard for Web3 identity. When a user creates their unique Notebook, they can prove their humanity and credentials to protocols across wallets and chains, without having to reveal any personal information.\n\nAnd they can do all of this with or without a wallet.\n\n**🕵🏽 The Identity Problem on Web3** \n\nOn blockchains, users identify themselves with wallet addresses, providing limited privacy or accountability. Malicious actors can easily re-identify themselves through new wallet addresses, making it difficult for protocols to prevent fraud or Sybil-attacks. Until accountability is brought to Web3, governments, banks, and other trusted systems have little incentive to put sensitive applications at risk for the sake of decentralization. \n\n**🧪 Where does Notebook fit in the identity space?** \n\nCurrently, Web3 identities are either non-accountable (e.g. wallet address, Polygon ID, Sign-in with Ethereum, Gitcoin Passport), where users can create multiple identities, or non-anonymized (e.g. Proof of Humanity, Bright ID, disco.xyz ). Powered by Zero-Knowledge Proofs, Notebook is decentralized, accountable, anonymous, and self-sovereign.\n\n**🪄 How does it work?** \n\nWhen creating their Notebook, users receive a mnemonic that they encrypt with a password through the Notebook app or chrome extension. They then have the option to enter personally identifying information like their SSN-4 or passport, what we call “Strong Proof-of-Humanity”, or authenticate with Twitter, “Weak Proof-of-Humanity.” With Weak PoH, user humanity can also be verified through an analysis of the user’s social graph. By using Zero-Knowledge proofs, neither Notebook Labs nor any other company knows the link between a user’s personal information and their Notebook. If a user chooses to not verify their humanity, they can still prove and develop on-chain credentials, but protocols can prevent them from accessing sensitive services.\n\nWith just a few lines of code, protocols can verify a user’s credentials and Proof-of-Humanity through their Notebook. Protocols can then record credentials, with the user’s permission, like credit scores, illicit content posting flags, and DAO engagement. Users can prove these credentials to protocols to gain entry to services.\n\n[🏭](https://emojipedia.org/factory/) **Can I integrate with Notebook in production?** \n\nYes! Check out our demo integration: <https://www.loom.com/share/28ae17da0496459c8c70a24b3b5bd67f>.\n\nWe can work with you 1-on-1 to integrate Notebook authentication in a few lines of code. If you’re interested in learning more, feel free to reach out!\n\nNote: We are currently implementing Notebook as a rollup, and wallet addresses will be obviated by mid-September.\n\n[🙌](https://emojipedia.org/raising-hands/) **How can you help?** \n\nIf you or someone you know \n\n* Is considering doing an airdrop\n* Participates in a DAO\n* Works with blockchain infrastructure\n* Works in the DeFi staking/borrowing space\n* Manages Web3 communities or events\n\n**Contact Us**\n\nNathaniel Masfen-Yan [nat@notebooklabs.xyz](mailto:nat@notebooklabs.xyz) Telegram: @NathanielMY\n\nSolal Afota [solal@notebooklabs.xyz](mailto:solal@notebooklabs.xyz) Telegram: @solalette\n\nDhruv Mangtani [dhruv@notebooklabs.xyz](mailto:dhruv@notebooklabs.xyz) Telegram: @dhruvm0",
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        "title": "Stellar 📈 - AI-powered OKRs",
        "tagline": "Turn your strategy into company-wide goals with AI",
        "body": "**TL;DR** - Implementing an OKR process that works for your team can feel impossible. [Stellar](https://www.stellarapp.io) drives alignment with an AI-powered OKR platform that simplifies writing and tracking goals.\n\nHi everyone - we’re Angela, Quan and Elise! Stellar is launching an AI product to tackle the biggest obstacles startups face when implementing OKRs.\n\n### **Problem**\n\n* **Writing cascading goals is hard -** after defining topline lagging metrics (revenue, churn, LTV, etc), each team member might not know how to write SMART goals that ladder up to them.\n* **Operational best practices are a mystery -** it’s hard to know where to start when creating a goal management process.\n* **A hero is required to drive accountability** - someone needs to step up to implement and enforce the process throughout the quarter, in addition to their full time job.\n\nIntroducing Stellar AI – a copilot for every employee that simplifies writing SMART, cascading goals and derisks them throughout the quarter.\n\n### **How it works**\n\nAnswer 4 simple questions and Stellar spins up a customized OKR workspace. An integrated experience uses GenAI to write your unique inspiring top-line goals and cascading domain-specific goals at all levels.\n\n![uploaded image](/media/?type=post&id=72653&key=user_uploads/997645/6097185e-9f26-4846-aaea-cdea8c355d6f)\n\nOnce goals are written, Stellar automates a recurring check-in process for your team throughout the quarter and year. These updates create an agenda for business reviews.\n\nStellar’s smart notification system drives accountability, resulting in an average of 85% of all goals being updated weekly. Additionally, If someone is stuck on a goal, Stellar AI recommends domain-specific next steps to help unblock them.\n\n![uploaded image](/media/?type=post&id=72653&key=user_uploads/997645/a2337bf7-ef1d-44d1-989d-d05a59590a07)\n\n### **Want to learn more?**\n\nBook [a demo](https://www.stellarapp.io) or reach out to [founders@stellarapp.io](mailto:founders@stellarapp.io), we’d love to show you what we’re building!\n\n![uploaded image](/media/?type=post&id=72653&key=user_uploads/997645/445e9f52-6e46-4c50-9096-0a099bb32ab2)\n\n",
        "url": "https://www.ycombinator.com/launches/Itp-stellar-ai-powered-okrs",
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        "title": "Stellar - Don’t let your team’s OKRs slip in 2023! 📈🌟",
        "tagline": "A goal tracking platform that drives agile collaboration and accountability. ",
        "body": "👋 We’re [Angela](https://www.linkedin.com/in/angeladao/), [Elise](https://www.linkedin.com/in/elisetnguyen/) and [Quan](https://www.linkedin.com/in/quanzhou1/), the co-founders of [Stellar](https://www.stellarapp.io/)! We were early hires at multiple unicorns and saw OKRs both fail and succeed. The orgs that get it right are those that act quickly and adapt to new information consistently over time.\n\nStellar is a goal tracking platform focused on agile communication so your team has a fighting chance of hitting their OKRs.\n\n![uploaded image](/media/?type=post&id=65966&key=user_uploads/997645/a7331fc6-b81e-4306-90a5-15f1ff0d625f)\n\n### **The problem with OKRs**\n\nSetting business goals is easy, but iterative execution is hard.\n\nToo many companies set OKRs, forget them in an isolated document and then realize they haven’t made sufficient progress. When OKRs aren’t reassessed openly on a recurring basis, you miss the opportunity to motivate your team, collaborate and unblock progress together.\n\n![uploaded image](/media/?type=post&id=65966&key=user_uploads/997645/ed098364-c2e7-449f-9436-f637d0041fc2)\n\nThe designated responsible person (usually a founder or Chief of Staff) spends hours a week running this process, when they could be working on strategic work.\n\n### **Achieve your goals with confidence**\n\nIf you’re ready to embed OKRs and agile collaboration in your organization, Stellar will help you:\n\n1. Stay focused and organized by linking your goals in an OKR tree\n2. Raise and remove blockers quickly through effective, asynchronous check-ins\n3. Save time with scheduled notifications and automatic reminders about missing updates\n\n### **Interested?**\n\n**We’re offering 50% off for the next 20 companies!**\n\nIf you’d like a demo: grab time on our [Calendly](https://calendly.com/angdao/stellar-demo?month=2022-12) or reach out directly to [founders@stellarapp.io](mailto:founders@stellarapp.io)! We’re excited to learn more about your unique use case and help you crush your 2023 goals.\n\n### **Our Team:**\n\n![uploaded image](/media/?type=post&id=65966&key=user_uploads/997645/f5922eac-b00b-4274-9ce9-9e125fbf2136)\n\n**👐 Quan is our hands, building exceptional products:** founding software engineer at Pave (YC S20), tech lead at Affirm, and engineering degree from Princeton. \n\n**👁️ Angela is our eyes, looking toward the future:** early product manager at Affirm and Earnin. \n\n**👂 Elise is our ears, listening and designing for users:** product design leader at LinkedIn.\n\n\\- Angela, Elise & Quan",
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        "votes": 89,
        "created_at": "2022-09-09T23:59:31.166Z"
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        "title": "🔔 Raven - A single API for product notifications across SMS, Email, Push, WhatsApp, Slack & more",
        "tagline": "We make it easy for businesses to manage all the multi-channel notifications they send to customers.",
        "body": "**TL;DR** Raven gives businesses a central platform to manage product notifications across SMS, Email, Push, WhatsApp, Slack & more. We do this by connecting 40+ providers like Twilio, SendGrid, Firebase with a single API and giving a central dashboard on top to design & monitor all notifications.\n\n```\n\n```\n\n**📝Book a demo** [**here**](https://calendly.com/priyanshs/platform-demo) **to learn more.**\n\nHey everyone - We’re Priyansh and Sriyansh (yes, we are brothers!) and we would love to tell you about [Raven](https://www.raven.dev).\n\n### 🚫THE PROBLEM\n\nBusinesses spend a lot of resources managing product notifications (think due-date reminders or verification codes). For example to send a payment reminder via SMS, Email & WhatsApp, you have to integrate multiple provider APIs like Twilio, SendGrid, then orchestrate channels basis user preferences and finally send the correct template on-time. The problem is -\n\n* Since each notification has it’s own set of templates & configurations, it becomes complex & time consuming to make any changes.\n* There’s no central visibility as the data is spread across multiple messaging providers. It is a pain for product teams to pull it from 5-6 diff sources, standardize and then analyze them.\n* Ensuring deliverability is a challenge. Some messages like OTPs are critical and their delivery failures lead to huge business losses.\n\n### 🎁OUR SOLUTION\n\nA central platform that brings all your messaging channels & providers in one place, where you can orchestrate and analyze them - all without engineering.\n\n* A single API to send notifications across channels via any of the 40+ providers like Twilio, SES, Firebase, Messagebird, Gupshup.\n* A dashboard gives central visibility on all templates, logs & delivery metrics allowing product teams to optimize CX by analyzing what works and what doesn’t, reduce redundant messages and thereby saving tons of money.\n* Reduces business risk by effectively managing delivery failures using failovers/retries across channels & providers.\n\n### \n\n![uploaded image](/media/?type=post&id=65513&key=user_uploads/584996/91936c0b-0457-43f0-9746-5eee037fcebf)\n\n### 💡WHY WE BUILT THIS\n\nWe’ve previously built the notification infrastructure for Apna (India’s fastest unicorn) & OkCredit (YC S18), and didn’t want any other engineer to go through the same pain as we did. It was not only us, but companies like LinkedIn, Netflix, AirBnB spend $10s of millions/yr with a 10-30 member engineering & product team which just does notifications 🤯.\n\n### 🤑 OFFER + ASK✨\n\n50% off first 3 months for startup community - email [founders@ravenapp.dev](mailto:founders@ravenapp.dev) to redeem\n\n**🥳 We’d love to talk to you -**  [**book a demo**](https://calendly.com/priyanshs/platform-demo) **with us today!**",
        "url": "https://www.ycombinator.com/launches/H2f-raven-a-single-api-for-product-notifications-across-sms-email-push-whatsapp-slack-more",
        "votes": 76,
        "created_at": "2022-08-20T19:48:21.781Z"
      }
    ]
  },
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    "id": 26792,
    "name": "Activepieces",
    "slug": "activepieces",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3da00ac0f6b66a7e896be53679d01b6fe5fd45.png",
    "website": "https://www.activepieces.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Activepieces is an open-source (MIT) business automation software.\r\nFor example, you can build automations to receive email and Slack notifications about new contacts add to your HubSpot CRM.",
    "one_liner": "Open-source, AI-first and no-code business automation tool",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1657116357,
    "tags": [
      "Workflow Automation",
      "Open Source",
      "No-code",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/activepieces",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/activepieces.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/activepieces/",
    "x_url": "https://twitter.com/activepieces",
    "fb_url": "https://www.facebook.com/activepieces",
    "cb_url": "https://www.crunchbase.com/organization/activepieces",
    "github_url": "https://github.com/activepieces/activepieces",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3da00ac0f6b66a7e896be53679d01b6fe5fd45.png",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 138932,
        "full_name": "Ashraf Samhouri",
        "title": "Founder/CEO",
        "founder_bio": "Ended up responsible for growing our ARR so I guess I do sales from the perspective of a software engineer, on a mission to make AI a native part of enterprise through open source automation (aka Activepieces)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ashrafsam",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e91e5e9ed7c7a1da6530ccd4dee552e196bbfe3d.jpg"
      },
      {
        "user_id": 724168,
        "full_name": "Mohammad AbuAboud",
        "title": "Founder/CTO",
        "founder_bio": "I love building cool stuff. Started programming at 13 and never looked back—turns out, breaking things is the fastest way to learn.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mohammad-abuaboud/",
        "x_url": "https://mobile.twitter.com/mabuaboud",
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    "jobs": [],
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    "launches": [
      {
        "id": 68665,
        "title": "Activepieces – Open source alternative to Zapier",
        "tagline": "No-code business automation that is open-source and can be self-hosted.",
        "body": "**tl;dr** You can now host an equivalent software to Zapier to automate your work. You can automate your sales process, marketing operations or back-office without writing code (or with, if you’d like to).\n\n—\n\nHi everyone!\n\nWe're [Mohammad](https://www.linkedin.com/in/mohammad-abuaboud/) (ex-Google) and [Ashraf](https://www.linkedin.com/in/ashrafsam) (3x founder), and here is what we’re building 👇\n\n### 💔 **Problem**\n\nIt can quickly get **too expensive 💰** to use automation tools like Zapier, and if you can’t or hate to **send your data to 3rd parties** [**🔒**](https://emojipedia.org/locked/) it’s already challenging to use these tools.\n\n### 🕺 **Our Product**\n\nActivepieces is a no-code business automation tool. It’s open-source (MIT licensed) and can be self-hosted on your servers.\n\nHere is a 2-min video by our founding engineer Abdul, who’ll explain how to automate sending notifications about a new **Pipedrive** Person to **Slack** and **Email**.\n\nhttps://www.youtube.com/watch?v=IY4TI6jGBwM\n\n### ❇️ **Difference from Zapier**\n\nWhile Zapier offers a cloud service, Activepieces is:\n\n1. **Self-hosted:** You can keep your data on your servers (helpful for data privacy).\n2. **Open-source:** the platform and the connectors (don’t wait for us to build the connector).\n3. **Free** (helpful for .. your pocket).\n\n### 🖌️ **Use Cases**\n\nWe’re working with some users at companies to:\n\n* Automate lead flow: from blogs to MailChimp and CRMs.\n* Centralize notifications: from marketing/sales to Slack workspace.\n* Automate operations: a company is using us to convert pdfs to text, summarize them and submit them to their proofreading team.\n\n### 🟢 **Status**\n\nWe just launched with **15 apps** including OpenAI, HubSpot, MailChimp, Stripe, Pipedrive, Gmail, SendGrid — and adding more.\n\nOur focus is to build the free product and the community around it. Later, we’ll make money from enterprise features.\n\n### 🙏 **Our Ask**\n\nYou can try out Activepieces on the [Playground](https://demo.activepieces.com/sign-up?utm_source=launch&utm_medium=post&utm_campaign=launch_yc) and we’ll be happy if you give us a star ⭐ on our [GitHub repo](https://github.com/activepieces/activepieces)!\n\n### 🖇️ **All links**\n\n* Website: [www.activepieces.com](http://www.activepieces.com?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Github repo (star us maybe?😳❤️): [https://github.com/activepieces/activepieces](https://github.com/activepieces/activepieces?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Playground: [https://demo.activepieces.com](https://demo.activepieces.com/sign-up?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Community (Discord): https://discord.gg/2jUXBKDdP8\n\nI’ll be happy to help anyone get set up (or grow out of Zapier): [founders@activepieces.com](mailto:founders@activepieces.com)",
        "url": "https://www.ycombinator.com/launches/HrV-activepieces-open-source-alternative-to-zapier",
        "votes": 45,
        "created_at": "2023-01-24T18:10:00.535Z"
      }
    ]
  },
  {
    "id": 26793,
    "name": "Windmill",
    "slug": "windmill",
    "former_names": [
      "Windmill.dev"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65ba001ab4d9a51e57b2d599e1b3c910c0a39b01.png",
    "website": "https://windmill.dev",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Windmill is an open-source developer platform that turns scripts into workflows, internal tools, and full-stack apps.\r\n\r\nWrite scripts in Python, TypeScript, Go, Bash, Rust, SQL - Windmill auto-generates UIs from their parameters, handles dependencies, credentials, permissions, and scheduling so you focus on business logic, not infra.\r\n                                                                                     \r\nOpen-source alternative to Airflow, Temporal, Retool and n8n. Chain scripts into flows with branching, parallelism, retries. Build dashboards with the app builder. Trigger via cron, webhook, or UI. All-in-one runtime, editor, secret manager, and OAuth platform - enterprise-ready out of the box.\r\n                                                                                                                            \r\nStack: Rust / TypeScript + Svelte / PostgreSQL. Self-hostable, easy to deploy, built for performance and DX.",
    "one_liner": "Open-source platform to turn scripts into internal apps & workflows",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1651798285,
    "tags": [
      "Developer Tools",
      "SaaS",
      "B2B",
      "Workflow Automation",
      "Open Source"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "France",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/windmill",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/windmill.json",
    "year_founded": 2022,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/windmill-dev",
    "x_url": "https://x.com/WindmillDev",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/windmill-labs/windmill",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65ba001ab4d9a51e57b2d599e1b3c910c0a39b01.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8bae564e0c7ca477efb46466f76a9b96d0a3e84f.png"
    ],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 229730,
        "full_name": "Ruben Fiszel",
        "title": "Founder",
        "founder_bio": "Ruben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, , built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an  open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rubenfiszel/",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8fbc73c8ea02cf3ca30ba2ae9aa7e3ab94e9df6.jpg"
      }
    ],
    "jobs": [
      {
        "id": 93198,
        "title": "Founding Growth & Developer Marketing",
        "url": "https://www.ycombinator.com/companies/windmill/jobs/t7ToQBK-founding-growth-developer-marketing",
        "location": "Paris, Île-de-France, FR / Remote (FR; DE; GB; ES; IT)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "€50K - €100K EUR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 93199,
        "title": "Product Software Engineer",
        "url": "https://www.ycombinator.com/companies/windmill/jobs/aXpL7BC-product-software-engineer",
        "location": "Paris, Île-de-France, FR / Geneva, GE, CH / Remote (FR; CH)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€50K - €95K EUR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "PostgreSQL",
          "Rust",
          "TypeScript",
          "Machine Learning",
          "Svelte",
          "LLMs",
          "AI Agents",
          "Generative AI"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 65264,
        "title": "Windmill: Turn scripts into internal apps and workflows",
        "tagline": "Fully open-source developer platform to turn any python, typescript, SQL into internal apps, integrations and workflows",
        "body": "## Developer platform for APIs, background jobs, workflows and UIs\n\nWindmill is an open-source developer platform to quickly build production-grade internal apps, workflows and integrations from scripts in Python, Typescript, Go, Bash, SQL.\n\nOpen-source alternative to Airplane and Pipedream. Simplified Temporal with automatic app generation. Usable as a self-hosted AWS Lambda.\n\nSync your scripts from your GitHub repo or write them directly on Windmill, have them be converted to apps and no-code modules automatically. Use those apps as standalone (triggered on demand, by webhook or schedule) or build powerful flows using those scripts. The experience is similar to no-code tools except that at any point, any module can have its code inspected and tweaked. Leveraging the open-source community, we will build an exhaustive library of scripts for all APIs and generic tasks on [hub.windmill.dev](https://hub.windmill.dev/).\n\nYou may also wrap Windmill with your own frontend to provide automation as a feature on top of your own SaaS.\n\nFocus on your business logic for all kind of flows, Windmill is the platform to build, share and run them.\n\n## Active Founders\n\n**Ruben Fiszel**\n\nRuben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.\n\n### The sweet spot between low-code and code from scratch\n\n### Open-source and self-hostable alternative to Pipedream and Airplane. Simplified Temporal\n\nTo build internal apps for ops, integrations between services that cannot talk to each other directly, or to run background jobs that run your business logic and analytics, the two main options today are no-code solutions and old-fashioned, roll-your-own scripting. Both have problems, and our goal with Windmill is to find a new sweet spot between the two. No-code solutions are productive _if_ your problem matches the tool exactly - but if not, they are rigid, hard to extend and quickly become tech debt, annihilating their initial time advantage. Indeed, no-code is just code but made by an opinionated someone else and hidden as a blackbox with an UI.\n\nThe alternative is to do it the old-fashioned way, writing everything from scratch, both backend and frontend, perhaps deploying it on the latest flavor of serverless, and pray to never have to touch it again because that took way too much time and it has now became a burden that the ops and business team might poke you about regularly.\n\nFurthermore, the landscape of SaaS is specialized tools for everything—alerting, data analytics, administration panels, support management, integration between services—when it feels like a few scripts and some SQL would have been as good or even better and spared you the need of depending on one yet another tool. This could be even further facilitated if there was a way to import the right bunch of scripts from a fellow community of engineers, tweak it and deploy it like you can do in communities where automation can be shared as simple JSON files, for instance in the node-red or home assistant community… That’s the idea of Windmill: to bring back the power of scripting in an easy but high-scale production-grade way.\n\n## What are good use cases for Windmill\n\n1\\. The biggest pain we solve is to turn scripts that you would run on your own laptop as internal apps that you can share with your team.\n\n2\\. Avoid SQL queries to production in favor of templatized SQL made into apps instead (automatically!). Making live SQL queries is common in DevOps, support and ops in general. It can be very error-prone, stressful and inconvenient.\n\n3\\. Integrations between tools you already use but that are unable to talk to each other.\n\n4\\. Workflows, background jobs: code that runs very frequently to react to new events, transform data and run your business logic. Many companies are a frontend on top of a database, and that database is updated in the background. We make it possible to build those workflows from simple scripts so that you can build it faster, more reliable and easier to maintain.\n\n5\\. The last one only apply if you are a SaaS that wants to provide automation as a feature of your product, or a no-code tools yourself. Because we focused very much on the hard-engineering of orchestration and specs for workflows, you might simply want to wrap Windmill to offer it to your own clients.\n\n### Where is the catch, how do you make money\n\nWe make money from support, dual licensing of commercial licenses (for SaaS wrapping Windmill or for clients requiring it) and the hosted solution. On self-hosted, our Enterprise plan embedds:\n\n* SLA & Priority Support 24/7\n* Design partners for roadmap (priority on feature requests)\n* Enterprise-specific features (Audit logs, Distributed dependency cache backed by S3, SAML support etc.)\n\nWe are workflows experts and would be happy to support you to transition to clean code working on open-source software.\n\nYou can however self-host it for free forever as long as you do not go against the AGPL license (keep open-source or do not provide it as your service).\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/0fe6dab5-5378-4e2e-ad66-930378bbe8ac)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/5d176de7-2303-49de-adb4-9bb98c559506)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/e1d39016-bd36-4241-b0df-a5f7799ef4f5)\n\n**Docs:** [https://windmill.dev](https://windmill.dev/)\n\n**Hosted app:** [https://app.windmill.dev](https://app.windmill.dev/)\n\n**Self-host (star us!):** <https://github.com/windmill-labs/windmill#how-to-self-host>\n\n**Discord to chat with the team/community:** <https://discord.com/invite/V7PM2YHsPB>\n\n**Schedule a demo:** <https://www.windmill.dev/book-demo>\n\n**Windmill on HackerNews:**\n\n* [Aug 9 2022, HN Launch](https://news.ycombinator.com/item?id=32400849)\n* [May 12 2023, Before v2](https://news.ycombinator.com/item?id=35920082)\n* [Nov 22 2023, Why Windmill is the fastest self-hostable workflow engine?](https://news.ycombinator.com/item?id=38383138)",
        "url": "https://www.ycombinator.com/launches/Gye-windmill-turn-scripts-into-internal-apps-and-workflows",
        "votes": 17,
        "created_at": "2022-08-10T13:00:24.836Z"
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  },
  {
    "id": 26796,
    "name": "Popsy",
    "slug": "popsy",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ada7a7ab505e37bb2de88fd9b81eb0bedd4997f2.png",
    "website": "https://popsy.ai",
    "all_locations": "Ljubljana, Ljubljana, Slovenia; Remote",
    "long_description": "Popsy is an AI tool that finds you leads on Reddit and sends them hyper personalized DMs.",
    "one_liner": "AI tool that finds you leads on Reddit and sends them hyper…",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1661960540,
    "tags": [
      "SaaS",
      "B2B",
      "Marketing",
      "Automation",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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      "Marketing"
    ],
    "regions": [
      "Slovenia",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/popsy",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/popsy.json",
    "year_founded": 2021,
    "city": "Ljubljana",
    "country": "SI",
    "linkedin_url": "",
    "x_url": "https://x.com/MihaPopsy",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/popsy-8fef",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ada7a7ab505e37bb2de88fd9b81eb0bedd4997f2.png",
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      {
        "user_id": 187910,
        "full_name": "Miha Mlakar",
        "title": "Founder",
        "founder_bio": "Co-founder at Tingles (YC W18)\nCo-founder at Popsy (YC S22)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mlakarmiha",
        "x_url": "https://twitter.com/MihaPopsy",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e8b5786ce744fb73dbd63049169347ea6e4d0b9.jpg"
      },
      {
        "user_id": 213658,
        "full_name": "Mourad Mourafiq",
        "title": "Founder",
        "founder_bio": "Loves building products. \nMore info on: https://mourafiq.com",
        "is_active": true,
        "linkedin_url": "https://github.com/mmourafiq",
        "x_url": "https://twitter.com/mmourafiq",
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    ],
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    "name": "Payload",
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    "all_locations": "Grand Rapids, MI, USA",
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    "one_liner": "Developer-First Headless CMS and Application Framework",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "status": "Acquired",
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    "year_founded": 2018,
    "city": "Grand Rapids",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/payload-cms",
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        "full_name": "James Mikrut",
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        "full_name": "Elliot DeNolf",
        "title": "Founder",
        "founder_bio": "Elliot DeNolf is founder and CTO of Payload CMS. He has worked extensively in design, development, and delivery of large, distributed, back-end services. His specializations include resilient, high-availability web services, containerization technologies, and CI/CD pipelines.",
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        "full_name": "Dan Ribbens",
        "title": "Founder",
        "founder_bio": "Dan Ribbens is founder and COO of Payload CMS, the best TypeScript CMS for developers. He has focused on database engineering and developer experience. While at Payload and throughout his career Dan has served as a senior developer, team lead, and architect for dozens of software teams. Dan earned his Masters in Computer Science at GVSU in 2013 and worked as a freelance consultant prior to Payload.",
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        "url": "https://techcrunch.com/2022/11/15/payload-raises-4-7m-for-its-developer-first-headless-cms/",
        "date": "Nov 15, 2022"
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      {
        "id": 64122,
        "title": "Payload — A Developer-First Content Management System",
        "tagline": "We're obsessed with giving engineers the best developer experience possible as they build APIs and admin UI.",
        "body": "Hey YC,\n\nJames, Dan, and Elliot here. We’re three full-stack TypeScript devs that got tired of feeling like second-class citizens when it comes to content management systems—so we built Payload.\n\n[**Payload**](https://payloadcms.com) is a truly dev-first, headless content management system aimed sharply at giving engineers the best development experience possible in a noisy ecosystem of tools that often disregard the importance of quality, clean, extensible code.\n\n![uploaded image](/media/?type=post&id=64122&key=user_uploads/969037/ca9a0712-e89c-4aaa-b63b-7b325f8ffbbb)\n\n### The Problem\n\nTo developers, “content management system” is a swear word.\n\n* Devs want to build cutting-edge products that are structured effectively to deliver elegant solutions to their business needs.\n* Modern teams want to write code in modern languages like TypeScript and React, but most CMS are built with legacy tech and have lasted long past their shelf life.\n* You will often hit roadblocks with other CMS, and many SaaS options “black-box” functionality away, meaning developers can never truly own their own code.\n* Devs often undervalue the power that a good CMS _could_ represent. Even web and native apps generally need to manage “content”, like orders, requests, users, profiles, and more—but often, developers roll their own systems for these apps. Time is wasted and the wheel is reinvented from scratch every time.\n\nBuilding a project that needs a CMS shouldn’t be a dreaded task for modern developers.\n\n### Payload is...\n\n**A CMS that is obsessed with giving engineers the best developer experience possible to build out APIs and admin UI.** It catapults developers' efficiency and value by delivering an extensible REST and GraphQL API as well as a beautiful React admin panel for non-technical users to manage content—all in TypeScript.\n\nFrom docs to design, it's staunchly code-first, but uncompromising in admin experience. Developers finally have a tool to deliver their admins with a CMS that is beautiful, minimal, extensible, and usable. It can power the backend for websites of all sizes, ecommerce, SaaS, native apps, and more.\n\n**Tech specs:**\n\n* Completely open-source\n* [Fully self-hosted](https://payloadcms.com/docs/production/deployment)\n* [GraphQL](https://payloadcms.com/docs/graphql/overview), [REST](https://payloadcms.com/docs/rest-api/overview), and [Local](https://payloadcms.com/docs/local-api/overview) APIs\n* [Customizable ReactJS Admin](https://payloadcms.com/docs/admin/overview)\n* [Extensible authentication](https://payloadcms.com/docs/authentication/overview)\n* [Local file storage & upload](https://payloadcms.com/docs/upload/overview)\n* [Field-based localization](https://payloadcms.com/docs/configuration/localization)\n* [Block-based layout builder](https://payloadcms.com/docs/fields/blocks)\n* [Extensible SlateJS rich text editor](https://payloadcms.com/docs/fields/rich-text)\n* [Array field type](https://payloadcms.com/docs/fields/array)\n* [Field conditional logic](https://payloadcms.com/docs/fields/overview#conditional-logic)\n* Extremely granular [Access control](https://payloadcms.com/docs/access-control/overview)\n* [Document and field-level hooks](https://payloadcms.com/docs/hooks/overview) for every action Payload provides\n* Built with Typescript & very Typescript-friendly\n* Highly secure thanks to HTTP-only cookies, CSRF protection, and more\n\n### What customers say\n\n* \"This product is a developer's dream come true in the world of CMS.\" - Developer, NYC, USA - 12 Oct 2021\n* \"CMS used to be something dreadful, now it's starting to feel right.\" - Developer, London, UK - 31 Mar 2021\n* “Started looking into headless CMS options... Payload was a clear winner.” - Developer, Berlin, Germany - 24 June 2021\n\n### Who we are\n\nWe're three full-stack engineers that have built digital projects with existing CMS for over a decade—including enterprise websites for big names like Klarna. We knew what we wanted, but also intimately knew it didn't exist—so we built it.\n\n### Ask for YC\n\n**Have a GitHub account? Stop by our repo and** [**give us a star**](https://github.com/payloadcms/payload)**!**\n\nIf you're building a digital product that needs to manage content, give Payload a shot by running **npx create-payload-app**.\n\nDo we provide the features and the experience that your dev team is looking for? We'd love to know what you think.\n\n### Find us online\n\n* [GitHub](https://github.com/payloadcms/payload)\n* [Twitter](https://twitter.com/payloadcms)\n* [LinkedIn](https://www.linkedin.com/company/payload-cms/)",
        "url": "https://www.ycombinator.com/launches/GgE-payload-a-developer-first-content-management-system",
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        "created_at": "2022-06-28T00:51:30.828Z"
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        "full_name": "Ed Adjei",
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        "full_name": "Gladys Adjei",
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        "founder_bio": "Hi 👋 I am the CPO of Aragorn. I worked as an engineer at Raytheon where I designed and developed various data security systems for the intelligence community",
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        "tagline": "Make your HR data connect and communicate at an enterprise scale!",
        "body": "Hello YC,\n\nWe are Ed, Gladys and Eric, and we’re jazzed to launch [Aragorn AI](https://www.aragorn.ai/)!\n\n# **TL;DR:**\n\n[Aragorn](https://www.aragorn.ai/) helps enterprises sync their HR data with their vendor systems seamlessly.\n\n# **What is the problem and who is this for?**\n\nMost companies with employees between 500 and 10,000+ waste at least $400,000 and over 8,000 hours per year managing inefficient HRIS data integrations between their vendors. This is a very painful and arduous process for HR leaders and teams.\n\nCurrent attempts to simplify integrations have mostly failed because they are generally custom 1:1 solutions that do not scale, require enterprises to replace their existing HR systems, and are not specifically designed to handle HR data. HR leaders who adopt these integration platforms generally experience incremental costs and long implementation times (at least 3-months) per vendor.\n\n# **How it works**\n\nWe’ve built a [solution](https://www.aragorn.ai/) where enterprises transfer their HRIS data to [Aragorn’s platform](https://www.aragorn.ai/) through encrypted means, map out attributes of the data to specific vendor formats programmed in [Aragorn](https://www.aragorn.ai/) and automatically share authorized data required by their vendors in a few hours. Our implementation time for HR leaders and organizations take days not months.\n\n![uploaded image](/media/?type=post&id=64263&key=user_uploads/694314/5d8bc48e-2c9e-4a66-84bb-3c74aa869f8d)\n\n# **Why we built** [**Aragorn AI**](https://www.aragorn.ai/)\n\nWe grew up as siblings and worked at organizations that manually formatted big data and scheduled transfers to multiple vendors (donations, learning management, 401(k), health insurance, etc.). Ed, ex-VP of Engineering at YourCause and Director of Software Development built and oversaw over 700 HR data integrations in attempt to solve this problem. We knew there has to be an effective and efficient way for HR leaders and teams to deal with this problem.\n\n# **How you can support us**\n\nWe would appreciate it if you can make introductions to your network of companies that have over 500 employees. Please contact us at [founders@aragorn.ai](mailto:founders@aragorn.ai) and we’ll send you a personalized email to forward on.",
        "url": "https://www.ycombinator.com/launches/GiV-aragorn-ai-sync-millions-of-hr-data-with-vendors",
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    "name": "Hypestream",
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        "title": "🔍 Chainsight - API for Web3 Background Checks",
        "tagline": "Real-time web3 risk detection solution to protect companies and users from losing digital assets",
        "body": "Hello everyone! We’re Ernie and John from [Chainsight.](https://www.chainsight.com)\n\n# **Chainsight: Provide real-time insights to secure your digital assets.**\n\nChainsight provides Web3 Background Checks API to detect web3 risks and secure your digital assets!\n\nSo if you are web3 wallet providers, developers or users, our API can help you check \\\n\\- the authenticity of tokens, NFTs\\\n\\- the liquidity of crypto exchanges or DeFi protocols\\\n\\- the credibility of addresses, smart contracts, or websites\n\nOur API can help you protect your users from web3 risk and inform you when there is any risk with your counterparties in real-time.\n\nLet’s build a safer and more trustworthy world for web2 and web3 users!\n\n```\n🔍 What is Chainsight?\n```\n\nRisks are everywhere for web3 users and companies. However, people and companies actually can mitigate their risk by running the risk analysis and checking the identity, the the history of the blockchain addresses they transact with.\n\nChainsight API is an effective solution to identify the riskiness of the parties you are transacting with and validate the authenticity and credibility of tokens and NFTs you are purchasing.\n\n```\n🧐 How does it work?\n```\n\nWe help web3 users and internet companies check whether there is any risk given any crypto address, smart contract, token, NFT, or URL.\n\n![](https://lh6.googleusercontent.com/d9yJQMyrCBZq0rhUr9ySv_Z9sRnp480h9EF8ugBl2jClTJ31UNS9fGLK3tvCzhVS3K-xHelbMd-WZcPsC7u4HLHON3DdWLzDTSQSHT1CGTDPUPXzzUZiR6jdoYcCmEclsVAlKMqwd4gqAe1o9jKxe02jO1LBSYrqQU3Z5YZpShKkKbnie73WePU-mw)\n\nThe Chainsight Background Checks platform is based on our proprietary database and transaction analytics platform which have been recognized and sponsored by G20, Bank for International Settlements, and used by famous web2 and web3 companies with a total of more than 350 millions end users.\n\nToday, millions of people are scammed and lose their life savings! We believe our API can help web3 users and internet companies avoid scams, leading to a safer and trustworthy world for web2 and web3 users!\n\n```\n🚀 Wanna try our Web3 Background Checks?\n```\n\nIf you are interested in doing a quick web3 background check on any address/website or know more about Chainsight , **please request a** [**demo here**](https://www.chainsight.com/#contact), and you’ll receive the free trial soon!",
        "url": "https://www.ycombinator.com/launches/H58-chainsight-api-for-web3-background-checks",
        "votes": 425,
        "created_at": "2022-08-28T22:49:23.473Z"
      }
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    "id": 26825,
    "name": "Flair Labs",
    "slug": "flair-labs",
    "former_names": [
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    "website": "https://www.flairlabs.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Flair Labs is the leading AI communications platform for lending, empowering teams to build autonomous agents that execute complex workflows across voice and text. We believe the next generation of top lending teams will be responsible for managing swarms of agents that execute tasks on their behalf – Flair Agent platform is the foundation enabling this future.",
    "one_liner": "AI workforce for mortgage",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1679982577,
    "tags": [
      "Fintech",
      "AI",
      "AI Assistant"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/flair-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/flair-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/flair-labs-1/",
    "x_url": "",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 986377,
        "full_name": "Samir Sen",
        "title": "Founder",
        "founder_bio": "Stanford BS/MS in computer science. Prev. Apple. Building full self-driving for real estate and lending.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samir-sen-3a2b72123/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3fc89488bc6aa07801580d2365a8837b7b4a291.jpg"
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    "jobs": [
      {
        "id": 71162,
        "title": "Founding Product Marketing - Flair Labs",
        "url": "https://www.ycombinator.com/companies/flair-labs/jobs/ql097Qg-founding-product-marketing-flair-labs",
        "location": "San Francisco, CA, US / Santa Clara, CA, US / Palo Alto, CA, US / Remote",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Figma"
        ]
      },
      {
        "id": 71163,
        "title": "Founding Applied AI Engineer - Flair Labs",
        "url": "https://www.ycombinator.com/companies/flair-labs/jobs/a9J4t3c-founding-applied-ai-engineer-flair-labs",
        "location": "San Francisco, CA, US / Remote (Palo Alto, CA, US; San Francisco, CA, US; Santa Clara, CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Google Cloud",
          "Python",
          "Docker",
          "Prompt Engineering"
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      },
      {
        "id": 89500,
        "title": "Forward Deployed Engineer - Flair Labs",
        "url": "https://www.ycombinator.com/companies/flair-labs/jobs/fyXhYIj-forward-deployed-engineer-flair-labs",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Kubernetes",
          "Python"
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      },
      {
        "id": 89512,
        "title": "Founding Infrastructure Engineer - Flair Labs",
        "url": "https://www.ycombinator.com/companies/flair-labs/jobs/0X4W8Kx-founding-infrastructure-engineer-flair-labs",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $160K",
        "equity_range": "0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Google Cloud",
          "Kubernetes",
          "Python",
          "Redis",
          "Firebase",
          "Docker"
        ]
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    ],
    "news": [
      {
        "title": "AI Voice Agents: 2025 Update | Andreessen Horowitz",
        "url": "https://a16z.com/ai-voice-agents-2025-update/",
        "date": "Jan 29, 2025"
      }
    ],
    "launches": [
      {
        "id": 86082,
        "title": "Flair Labs: Digital Concierge for Real Estate and Lending",
        "tagline": "Lifelike Voice AI. For Real Estate. Now.",
        "body": "**tl;dr**: Real estate and mortgage brokerages lose billions in commissions yearly in missed opportunities with prospective home buyers and sellers. Flair lets any team deploy their own fleet of digital assistants - tailored to real estate workflows - that allows brokerages to multiply their active conversations.\n\n<https://www.loom.com/share/5e54f4095c7a4841acd070036df437ca?sid=44286c27-98ba-4374-bce1-fb199062002b>\n\n—\n\n### **❌ The Problem**\n\n**Real estate and lending teams lack resources to properly manage client communications.**\n\nEvery day brokerages leave millions of dollars on the table. Why?\n\n* Communication in real estate quickly becomes overwhelming, especially when there aren’t enough hands to stay on top of every client\n* They, therefore, miss over half their phone calls and follow-ups\n* Today - 300,000+ loan officers and 1.6m+ realtors spend hours on the phone getting applicants to complete applications or gathering additional information before they churn to competitors.\n* 85% of the time when a call is missed, clients don’t call back; they often go with another realtor\n\n**Existing alternatives are either expensive or inefficient.** Even small to midsize brokerages can make and receive hundreds, if not thousands, of calls per day\n\n* Receptionists (both virtual & non-virtual) are costly, not 24/7 and operational on the weekend, require months of onboarding, and have high variance in terms of performance\n* Call centers are costly (few dollars / minute), inconsistent, and don’t integrate with business systems (e.g., CRMs)\n\n### **✨ Our Solution**\n\n[Flair Labs](https://flairlabs.ai) allows brokerages to set up their own **digital concierge** that automates client communication and relationship nurturing\n\n![uploaded image](/media/?type=post&id=86082&key=user_uploads/986377/994c9276-0ffe-44b0-b080-5416a5dc294b)\n\n**Speed-to-lead**\n\n* 24/7 availability - automate follow-ups from inbound inquiries to nail down appointment times and collect necessary information\n* Pick up and reengage clients that dropped off online forms or applications\n* Multi-channel sequences through call, sms and email ensure to reach clients where they prefer most\n\n**Lead reactivation**\n\n* Booking confirmations to minimize cancellations / no-shows\n* Follow-ups with previous leads to gather updated information and changes in timelines\n\n**Live transfer & callback scheduling**\n\n* Warm transfer hot leads directly to realtors or mortgage brokers\n* Connect with calendar and CRM to set up times to call back\n\n### **🏆 Team**\n\n[Samir Sen](https://www.linkedin.com/in/samir-sen-3a2b72123/) - Stanford BS/MS in Computer Science. Prev. Apple ML\n\n[Eddie Wu](https://www.linkedin.com/in/eddie-chao-ping-wu-604a98145/) - Stanford GSB. Prev. Citi Group - Director, Mortgages & Lending\n\n![uploaded image](/media/?type=post&id=86082&key=user_uploads/986377/fcf62135-766e-4334-8472-b75191a9e261)\n\n### **🙏 Asks**\n\n* 📣 Sharing: Please share this announcement with your network and follow us on [LinkedIn](https://www.linkedin.com/company/flair-labs-ai/)!\n* 👥 Referrals: If you know of anyone who owns a real estate and mortgage brokerage and could benefit, please connect us [samir@flairlabs.ai](mailto:samir@flairlabs.ai)",
        "url": "https://www.ycombinator.com/launches/MOQ-flair-labs-digital-concierge-for-real-estate-and-lending",
        "votes": 8,
        "created_at": "2024-12-05T20:46:37.420Z"
      }
    ]
  },
  {
    "id": 26837,
    "name": "Unify",
    "slug": "unify",
    "former_names": [
      "Deep Ivy Inc.",
      "Ivy",
      "Unify",
      "Ivy"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90e213981ccee521dac2989633ba8959528e318e.png",
    "website": "https://unify.ai",
    "all_locations": "London, England, United Kingdom; Remote",
    "long_description": "Building the next frontier of models that continually learn from a stream of experience.",
    "one_liner": "Models that keep learning",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1657390616,
    "tags": [
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      "Open Source",
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      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
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      "Europe",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/unify",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/unify.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/unifyai",
    "x_url": "https://twitter.com/letsunifyai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/unify-ai",
    "github_url": "https://github.com/unifyai",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 949841,
        "full_name": "Daniel Lenton",
        "title": "Founder",
        "founder_bio": "Love to dive deep into engineering rabbit holes 🕳️🐇",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniellenton",
        "x_url": "https://twitter.com/DanielLenton1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f9d4085e00b2a0b42cbb6845e6ad5a9a6d40bb8.jpg"
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    "news": [
      {
        "title": "In 2024, it really is better to run a startup in San Francisco, according to data and founders who’ve relocated | TechCrunch",
        "url": "https://techcrunch.com/2024/08/25/in-2024-it-really-is-better-to-run-a-startup-in-san-francisco-according-to-data-and-founders-whove-relocated/",
        "date": "Aug 25, 2024"
      },
      {
        "title": "Unify helps developers find the best LLM for the job | TechCrunch",
        "url": "https://techcrunch.com/2024/05/22/unify-helps-developers-find-the-best-llm-for-the-job/",
        "date": "May 22, 2024"
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    "launches": [
      {
        "id": 81027,
        "title": "Unify - The best LLM on every prompt ✨",
        "tagline": "Dynamically route each prompt to the best LLM, so you can balance quality, speed and cost with ease",
        "body": "**TL;DR** Unify dynamically routes each prompt to the best LLM and provider so you can balance quality, speed, and cost with ease ✨\n\n🔀 [Try out our router in the browser](https://unify.ai/chat?default=true)\n\n💸 [Sign up now and get $50 free credits!](https://console.unify.ai/)\n\n🧑‍💻 [Get a Demo](https://calendly.com/unify-chat/general)\n\n**💥Problem** \\\nThere is a new LLM emerging almost every week, and all LLM applications have unique requirements for output quality, cost, and speed. It’s also unclear which models provide the highest quality on your task. This results in lots of manual signups, testing different models, bespoke benchmarking, etc. It’s overwhelming, and the final solution is almost always sub-optimal.\n\n![](https://t9015538723.p.clickup-attachments.com/t9015538723/65677e25-4ec6-4c1a-b235-56ff1fee6552/splash3.png)\n\nMany people give up and just use the largest models for everything. However, you really don't need GPT4 to summarize simple documents. Llama 8B is more than capable and is **15 times faster** and **100 times cheaper**. LLM apps are currently _much_ slower and more expensive than needed 💵🔥⏱️, and also often underperform in output quality because of poorly selected models 📉 (Claude Opus vs. GPT4 vs. Gemni etc.) for your specific prompts.\n\n**🤩 Not Anymore**\n\nUnify automatically routes each prompt to the most suitable model based on your preferences for quality, speed, and cost. Simply tune these three dials and let Unify do all the hard work.\n\n![uploaded image](/media/?type=post&id=81027&key=user_uploads/949841/fa900ddd-6849-408f-9a6c-1ad5dcfb0872)\n\nYour \"easy\" prompts will go to the fastest and cheapest models, and only the \"hard\" prompts will go to the most appropriate heavy lifters, like GPT-4o, Opus, and Gemini. You focus on building your LLM app, and we'll focus on providing the best models, with the fastest providers, at the lowest cost ⚡\n\n![uploaded image](/media/?type=post&id=81027&key=user_uploads/949841/b59ee67a-6566-4728-b146-57b102cf3151)\n\nWatch our [explainer video](https://youtu.be/15wgxK1Cw0E?si=5G04-7tGRKPyxiNa) to learn more about the solution at a high level.\n\n**What Unify Offers ✨**\n\n* **⚙️ Control**: Choose which models and providers to route to and adjust three sliders: quality, cost, and latency.\n* 📈 **Self Improvement**: Unify automatically improves your LLM application over time as new models and providers emerge.\n* 📊 **Observability**: [Compare all models and providers](https://console.unify.ai/dashboard) and see which are best for your needs.\n* ⚖️ **Impartiality**: Unify treats all models and providers equally, ensuring unbiased quality, cost, and speed [benchmarks](https://console.unify.ai/dashboard).\n* 🔑 **Convenience**: With a single API key, [access all models and providers](https://unify.ai/docs/api/first_request.html) behind a single endpoint, queryable individually or via the router.\n* 🧑‍💻 **Focus**: Don't stress about updating models and providers; Unify handles it for you so you can focus on building great LLM products.\n\n**Getting Started 🛠️**\n\n[Sign up](https://console.unify.ai/), select your [router](https://unify.ai/chat?default=true), then `pip install unifyai` and you're ready to go!\n\n```\nfrom unify import Unify\nunify = Unify(\n    api_key=\"UNIFY_KEY\",\n    endpoint=\"router@q:1\",\n)\nresponse = unify.generate(user_prompt=\"Hello there\")\n```\n\n🙏 **Our Ask**\n\nGive Unify a try, and let us know what you think! [Sign up](https://console.unify.ai/), `pip install unifyai`, take our [router](https://unify.ai/chat?default=true) for a spin, and check out our [product walkthrough](https://youtu.be/ZpY6SIkBosE). If you're excited about Unify, tell a friend about it 😊 If you don’t think it’s useful, please tell us. We’d love to know!",
        "url": "https://www.ycombinator.com/launches/L4t-unify-the-best-llm-on-every-prompt",
        "votes": 48,
        "created_at": "2024-05-22T15:22:53.596Z"
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    "id": 26847,
    "name": "Slauth.io",
    "slug": "slauth-io",
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    "website": "https://slauth.io/",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Slauth.io generates and rightsizes IAM policies in order to save engineering time and secure the organization. We use PR's to suggest what good functional and secure IAM policies should look like and integrate with IaC (Terraform)  to have a seamless end-to-end IAM policy creation and deployment. Save hundreds of DevOps engineering time each year and increase your security to scale faster. \r\n",
    "one_liner": "The IAM Policy Copilot",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1659357857,
    "tags": [
      "Developer Tools",
      "DevSecOps",
      "Productivity",
      "Compliance",
      "Security"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Infrastructure"
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    "regions": [
      "Israel",
      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/slauth-io",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/slauth-io.json",
    "year_founded": 2022,
    "city": "Tel Aviv-Yafo",
    "country": "IL",
    "linkedin_url": "https://www.linkedin.com/company/slauth-io",
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        "full_name": "Daniel Haven",
        "title": "Founder",
        "founder_bio": "Born and Raised in Amsterdam, Currently residing in Tel Aviv. Founded ProctorExam in 2014 and led it to become one of the biggest global online proctoring company. Sold it successfully to US leading EdTech company Turnitin. \nNow working on Slauth.io which is aiming to simplify and secure access management for the cloud infrastructure.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/danielhaven",
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      {
        "user_id": 1014400,
        "full_name": "Tal Auslander",
        "title": "Founder",
        "founder_bio": "TLV. Ex-8200. 1st CTO at ProctorExam (EdTech), acquired by TurnItIn. Chief Architect at SignifAI (AIOps), acquired by New Relic.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/talaus",
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      {
        "user_id": 1047403,
        "full_name": "Moti Elkayam",
        "title": "Founder",
        "founder_bio": "Extensive SW engineering & Product background. \nGraduated computer science (B.Sc.) in the Technion (Israeli MIT). \nLeading product management in the last 10 years (inc MLNX switch software product  -acquired by Nvidia).\nSlauth.io is our venture in the space of Identities and Access Management (IAM). \nWe secure and streamline organizations' multi-cloud human and machine identities' permissions.\nLove to hike and run.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/moti-elkayam-6a6a06/",
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    "id": 26850,
    "name": "BiggerPicture",
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    "website": "http://biggerpicture.co",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "BiggerPicture, Inc. runs the largest freight scheduling network in the industry.\r\n\r\nIt is a freight appointment network. Carriers, shippers, and facilities work from one shared shipment record, so the appointment a carrier requests is the same appointment the facility confirms and the shipper sees. Nothing to reconcile between systems, no email threads to chase.\r\n\r\nOne workspace covers every scheduling channel: email, bulk email, and direct portal integrations. Automation handles routine booking and routes anything that needs a human into an exception queue. Every party is graded on one shared, published compliance standard rather than each provider's own unpublished metrics.\r\n\r\nSome of the largest brokers and carriers in the country run on our network. SOC 2 Type II. Women-led.",
    "one_liner": "The largest freight scheduling network in the industry.",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/biggerpicture",
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    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
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        "user_id": 522591,
        "full_name": "Deema Adada",
        "title": "Founder",
        "founder_bio": "Deema spent 15 years in leadership roles at Coyote Logistics and Uber Freight, driving significant innovation in the supply chain industry.  During that time, she felt the acute challenges of siloed technology and workflows across the supply chain resulted in less than 1% of shipments could be handled without human intervention, which propelled her to found BiggerPicture.",
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        "linkedin_url": "httP://linkedIn.com/in/deema-adada/",
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        "user_id": 1049471,
        "full_name": "Guillaume Lo Re",
        "title": "Founder",
        "founder_bio": "During his 13 years working at startups as well as hyper-growth companies such as Datadog and Dassault Systèmes, Guillaume developed a passion for solving complex problems with simple solutions. He takes pride in shaping and crafting stunning user experiences for high volume and critical applications. ",
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    "id": 26851,
    "name": "Mistle",
    "slug": "mistle",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d57b2b10c7e35a1990c9ac0bf09d58abdb4ff9d5.png",
    "website": "https://mistle.dev",
    "all_locations": "Singapore, Singapore; Remote",
    "long_description": "Mistle is the open source alternative to Stripe Minions, Ramp Inspect and Shopify River. Instead of spending months building an internal platform, teams use Mistle to run collaborative background agents from day one.",
    "one_liner": "Open source background agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1654527668,
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    "city": "Singapore",
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        "full_name": "Jonathan Low",
        "title": "Founder",
        "founder_bio": "Jonathan is the co-founder and CEO of Mistle.\n\nPrior, Jonathan worked at NTUC Enterprise leading product development and digital transformation for 2 business units. Between 2015 to 2019, he co-founded and led product development at a groceries startup in SEA named Honestbee that grew to $108M in annual GMV across 8 markets.",
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        "user_id": 981080,
        "full_name": "Thomas Jiang",
        "title": "Founder",
        "founder_bio": "Thomas is the co-founder of Mistle.\n\nPrior, Thomas worked as engineer no. 2 in a B2B startup selling enterprise compliance software which was acquired.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thomas-jiang/",
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    "jobs": [],
    "news": [
      {
        "title": "Honestbee co-founder’s new startup joins Y Combinator",
        "url": "https://www.techinasia.com/honestbee-cofounder-excto-joins-combinator",
        "date": "Jun 07, 2022"
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    "launches": [
      {
        "id": 65425,
        "title": "🌊 Ajourney - Gusto for South East Asia (SEA)",
        "tagline": "Run payroll with one-click",
        "body": "Hi YC! We’re [Jonathan](https://bookface.ycombinator.com/user/878905), [Thomas](https://bookface.ycombinator.com/user/981080) and [Cayter](https://bookface.ycombinator.com/user/1005416).\n\n[**Ajourney**](https://ajourney.io) **is building Gusto for South East Asia (SEA).**\n\n### The Problem\n\nRunning payroll is a very repetitive activity. We’ve identified 3 areas that can be better.\n\nFirst, most payroll software in SEA act as a calculator to calculate compliance contributions but do not automate the other aspects of running a payroll such as:\n\n* Collection of attendance or commissions data for salary computation\n* Handling payments through bank and government portals\n\nSecond, hiring of remote contractors in SEA is increasing with greater adoption of remote working tools for small businesses. Manual payments have to be made separately from payroll.\n\nThird, businesses growing regionally in SEA usually outsource payroll as they do not want to build internal competency in payroll compliance for every market.\n\n### Our Approach\n\nAjourney helps businesses to manage their payroll end-to-end from data collection to disbursements, compliance filings and payments.\n\nWe reduce repetitiveness and time spent on payroll through integrations and workflow automation.\n\nBesides software, we offer customer support to help companies on their payroll compliance needs. Customers can enjoy the benefits of both in-sourced payroll and outsourced payroll through a single offering.\n\nWe are currently building our product for the Singapore market and will expand to more markets at a later date.\n\n![](https://ajourney.io/images/landing-page-payroll-9b16a6258953508db851b28b694af76a.png?vsn=d)\n\n## Our Team\n\nWe are 3 technical co-founders and can relate to the problem well because of previous pains we have experienced.\n\nI previously co-founded a groceries delivery startup in SEA. Payroll was messy - we outsourced and always had difficulty getting a consolidated view across markets.\n\nThomas worked with small medium businesses in a previous startup and saw the struggles of business owners running payroll manually on spreadsheets.\n\nCayter has wide exposure into payments and has seen the challenges and costs in handling payments across borders.\n\n### Our Asks\n\nIf you:\n\n\\- Are based in Singapore\n\n\\- and/or hire contractors remotely\n\n\\- and/or have expanded regionally\n\nWe’ll love to speak to you to understand how you are handling your payroll.\n\nIf you can make referrals to potential customers in Singapore, we will really appreciate it!\\\nDrop us a note at [founders@ajourney.io](mailto:founders@ajourney.io)\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/H1F-ajourney-gusto-for-south-east-asia-sea",
        "votes": 25,
        "created_at": "2022-08-17T05:46:25.934Z"
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    "id": 26852,
    "name": "Slidely AI",
    "slug": "slidely-ai",
    "former_names": [
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      "Slidely"
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    "website": "https://slidely.ai/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Create new slides or upgrade existing ones with AI that works natively inside PowerPoint and stays true to your company’s branding, templates, and standards.\r\n\r\nHow Slidely AI is different -\r\n\r\n1. Works directly in PowerPoint\r\nNative PPTX support — no HTML-to-PPT hacks, exports, or broken layouts.\r\n\r\n2. Improves slides you already have\r\nBecause it understands real PowerPoint files, Slidely AI can rewrite, redesign, and tighten existing decks — not just generate new ones.\r\n\r\n3. Agentic, consulting-grade output\r\nUnlike other tools which can only use simple templates, Slidely AI agent puts each shape individually on slides to express your complex data.\r\n\r\n4. Truly on-brand, every time\r\nLearns from your past decks to follow your colors, fonts, layouts, and slide patterns — so every slide looks like it came from you, not a generic AI tool.",
    "one_liner": "AI for professional PowerPoint presentations, available in PowerPoint",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1658310268,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/slidely-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/slidely-ai.json",
    "year_founded": 2024,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/slidelyai",
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    "github_url": "https://github.com/Slidely-AI/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 671550,
        "full_name": "Apoorve Singhal",
        "title": "Founder",
        "founder_bio": "Apoorve is the co-founder and CEO of Slidely AI. \n\nHe wrote the code for a self-driving car in his sophomore year that beat other teams of PhDs. He has deep AI research experience working with top scientists from Stanford, Adobe and Brown University.\n\nDuring his time at IIT Kharagpur studying CS + AI, he made products like BookMySlot and Auto-OTP that were used by more than 10,000 users. ",
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        "linkedin_url": "https://www.linkedin.com/in/sapoorve",
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        "full_name": "Nikhil Shah",
        "title": "Founder",
        "founder_bio": "Nikhil Shah is the co-founder and CTO of Tersho. He has a background in machine learning and computer vision, having worked with research labs at University of Oregon, CERN and Amazon Science. His research has been published at top-tier conferences and has been cited 100+ times. Nikhil likes to build tools that solve his own problems.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/iamshnik",
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    "id": 26859,
    "name": "Typewise",
    "slug": "typewise",
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    "website": "https://typewise.app",
    "all_locations": "Zürich, ZH, Switzerland",
    "long_description": "Typewise resolves customer service requests end-to-end. Someone sends a request; it reads the message, looks up the real order or account in your own systems, takes the action, and replies. Anything it shouldn't touch goes to a human. It works across email, chat, WhatsApp and social, and is MCP-native.\r\n\r\nUntil now, that took a proper setup project, which is why it was mostly larger companies using it. Nova does the setup for you. You describe how you want things handled, in plain sentences:\r\n- \"Handle refunds under €50 yourself.\"\r\n- \"Anything about enterprise pricing goes to a human.\"\r\n- \"Turn bug reports into Linear issues and assign them to the Excellence team.\"\r\n\r\nNova connects the tools, configures the agents, tests them against your past conversations, and shows you what it got wrong before anything goes live. Nothing ships without your approval. First deployment takes 15 minutes. After that, it keeps going: it surfaces what customers keep complaining about, proposes fixes, and ships the ones you approve. We call it an AI Operator because it doesn't just answer customers; it keeps the entire operation working and improving. Across live accounts, that means 90% of requests resolved without human involvement.\r\n\r\nYour team stays in control of what it may do on its own. Hybrid intelligence handles partial hand-offs, review-before-send, and context-preserving resumption.\r\n\r\nWe're YC S22 and work with companies like Superhuman and Unilever. Fortune 500 brands such as Unilever and DPD use Typewise to cut support effort by 50%+ while increasing CSAT and NPS. Run it natively in Typewise Ticketing or inside Zendesk, Salesforce or Freshdesk, with a CRM-embedded copilot for your human agents. EU-hosted, ISO 27001 certified.",
    "one_liner": "Customer service AI that resolves requests end-to-end.",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1655022154,
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    "batch": "Summer 2022",
    "status": "Active",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/typewise",
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    "year_founded": 2020,
    "city": "Zürich",
    "country": "CH",
    "linkedin_url": "https://www.linkedin.com/company/typewise/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
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      {
        "user_id": 737174,
        "full_name": "David Eberle",
        "title": "Founder",
        "founder_bio": "Co-Founder and CEO at Typewise, formerly Engagement Manager at Booz & Company. Lived in 7+ countries.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/davidaeberle/",
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      },
      {
        "user_id": 1013251,
        "full_name": "Janis Berneker",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO at Typewise, formerly Lead Data Science at Swiss National Broadcaster SRF. Loves coding since he was a kid. Speaks 5+ languages.",
        "is_active": true,
        "linkedin_url": "https://www.linked.com/in/janis-berneker",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "7 AI startups that stood out in YC's Summer '22 batch",
        "url": "https://techcrunch.com/2022/09/08/7-ai-startups-that-stood-out-in-ycs-summer-22-batch/",
        "date": "Sep 08, 2022"
      },
      {
        "title": "How Typewise got into YC after pivoting to b2b productivity – TechCrunch",
        "url": "https://techcrunch.com/2022/08/17/typewise-yc/",
        "date": "Aug 17, 2022"
      }
    ],
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      {
        "id": 114656,
        "title": "Typewise Nova: The customer operator for fast-growing teams",
        "tagline": "Customer service that runs itself, so you can keep building.",
        "body": "At YC, we move fast. But staying on top of customer requests can quickly turn into a second job, and it takes time away from building and growing.\n\nWe're **Typewise (S22)** and we built Nova to remove that tradeoff. Typewise resolves customer requests end-to-end. Nova is the AI operator that sets up, runs, and improves that system for you. Your first deployment takes about 15 minutes.\n\nTell Nova how you want customer requests handled, in plain language:\n\n* \"Handle refunds under $50 automatically.\"\n* \"Send enterprise-pricing questions to Sales.\"\n* \"Create a Linear issue for every bug report and assign it to Engineering.\"\n\nNova connects the relevant tools, configures the agents and workflows, and tests them against your past conversations. It shows you what it got wrong before anything goes live. Nothing ships without your approval.\n\nOnce live, Typewise handles requests 24/7. It understands the message, looks up the information in your systems, takes approved actions, and replies. Anything outside the boundaries you've set goes to a human.\n\nNova keeps improving the system. It spots recurring questions, complaints, and cases Typewise couldn't resolve, then proposes changes to the knowledge and workflows. You approve the changes before they go live.\n\n**See it in action, in hi-fi:**\n\n<https://www.youtube.com/watch?v=7XXOm19aUCQ>\n\n**Or in lo-fi:**\n\n<https://youtu.be/ojOL0Ux3Sx8>\n\n### Our launch gift\n\nWe strongly believe the product should do the talking, so **your first 1,000 resolutions or your first 3 months are on us**, whichever comes first.\n\nGive it a try!\n\nJanis &amp; David",
        "url": "https://www.ycombinator.com/launches/TpI-typewise-nova-the-customer-operator-for-fast-growing-teams",
        "votes": 21,
        "created_at": "2026-09-10T14:10:07.715Z"
      },
      {
        "id": 67181,
        "title": "Typewise Text Prediction API",
        "tagline": "Supercharge your software with \"Gmail smart compose\"-like predictions",
        "body": "Hi guys, we’re Janis and David on a mission to make daily lives easier by decoding human thoughts. We build text prediction software, which is used in various customer service and sales teams of large enterprises.\n\nWe’re now making the underlying API accessible to other developers, in case you’d like to supercharge your software with text prediction and autocorrect.\n\n### Features\n\n* 🔮 Sentence Prediction\n* 🖋️ Autocorrect & Grammar Check\n* 🧠 Custom AI Models\n* 🌎 Language Detection (40+ languages)\n* 🕵️‍ Emoji Search\n\n---\n\n![uploaded image](/media/?type=post&id=67181&key=user_uploads/737174/60471b62-a6f4-40af-9ca8-4ac7fb0c01d8)\n\n### Try for free\n\nAccess the API: <https://www.typewise.app/api>\n\n👉 The language models are fully customizable to your specific use case, [get in touch](https://mailto:info@typewise.app) to learn more.\n\nCheers,\\\nJanis & David",
        "url": "https://www.ycombinator.com/launches/HTZ-typewise-text-prediction-api",
        "votes": 19,
        "created_at": "2022-11-08T12:28:26.612Z"
      },
      {
        "id": 64168,
        "title": "Typewise – 🔥 boosting customer service & sales productivity by 2-3x",
        "tagline": "AI writing solution for businesses to save cost, increase customer satisfaction and sales conversion.",
        "body": "[**Typewise**](https://typewise.app/) **is a powerful AI writing solution for customer service and sales teams.**\n\nTypewise helps customer service and sales teams to:\n\n* Increase writing efficiency by >20%\n* Eliminate >97% of mistakes\n* Ensure brand coherence & tone of voice\n* Improve customer satisfaction (CSAT, etc.) & sales conversion\n* Save >8 hours per employee per month\n* Get 3-4X ROI\n\nOur AI text prediction technology outperforms Google & Co and was initially developed through our smartphone app with >2 million downloads.\n\nWe already work with Fortune 500 companies (software, e-commerce, logistics, insurance, telco).\n\n**What can Typewise do?**\n\n![uploaded image](/media/?type=post&id=64168&key=user_uploads/737174/1a0256c1-10b5-4def-a67d-40ac30271153)\n\n* Sentence prediction (autocomplete) and smart snippets\n* Proofreader (autocorrect and grammar check)\n* Auto replies\n* Real-time translation\n* Analytics & quality control\n\nOur AI language model gets trained on your company’s data to ensure consistent, on-brand communications across your business. We also incorporate your business metrics (CSAT, etc.) to surface what type of wording, phrases, etc. leads to better business outcomes, and suggest the most effective language automatically.\n\n**How does Typewise work?**\n\n💻 Browser extension + server-side API\\\n✅ Works with any CRM (e.g., Salesforce)\\\n🌐 Support for 40+ languages\\\n👍 No IT implementation effort / <8h setup time\\\n🔒 100% data privacy\n\n**Get a risk-free trial:**\n\nSchedule a 15-min live demo to discuss how we can boost your business!\n\n👉👉 [Get in touch with our CEO David](https://mailto:david.eberle@typewise.app)",
        "url": "https://www.ycombinator.com/launches/Ggy-typewise-boosting-customer-service-sales-productivity-by-2-3x",
        "votes": 26,
        "created_at": "2022-06-29T07:37:38.350Z"
      }
    ]
  },
  {
    "id": 26860,
    "name": "NewsCatcher",
    "slug": "newscatcher",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png",
    "website": "https://newscatcherapi.com/",
    "all_locations": "Kyiv, Ukraine; Remote",
    "long_description": "CatchAll by NewsCatcher is a recall-first web search API built for queries where the results are spread across hundreds or thousands of pages on the web. Instead of returning the top ranked links like traditional search engines, CatchAll retrieves a large candidate set from the web, validates which pages actually match the query, and extracts structured records of real-world events.\r\n\r\nDevelopers and data teams use CatchAll to answer “long-list” questions such as tracking regulatory actions, funding rounds, product launches, corporate expansions, or cybersecurity incidents. The output is not just links but clean, deduplicated datasets that can power AI agents, monitoring systems, analytics pipelines, and market intelligence workflows.\r\n\r\nCatchAll runs on the data infrastructure developed by NewsCatcher, which continuously indexes millions of articles and public web pages across a global network of sources.",
    "one_liner": "Turning the web into a structured database of real world events.",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1659698356,
    "tags": [
      "SaaS",
      "Enterprise",
      "Big Data",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "Ukraine",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Me (Artem) and Maksym, childhood pals since school days and university companions, teamed up to launch NewsCatcher in February 2020. Both Data Engineers with a knack for problem-solving, we were fed up with the status quo but passionate about data, laying the groundwork for our startup. Embracing the ethos of rapid iteration, we wasted no time, kicking off our journey by creating a Telegram chat dubbed \"First million\".Following Y Combinator's mantra of swift action, we rolled out our beta in April 2020, fuelled by AWS credits from YC Startup School. Our early strides were apparent when a Python package we crafted gained traction on Reddit, attracting a flurry of sign-ups. By June 2020, we debuted our V1 product on RapidAPI, landing our first paying customer—a serendipitous encounter with a US student bound for YC W24 batch. Our trajectory continued with applications to accelerators like TinySeed and YC, ultimately opting for TinySeed's rapid application process, albeit declining YC's offer later on. With strategic hires and laser-focused growth, we had a revenue surge from $3,000 to $25,000 MRR within a year. We circled back to YC, securing entry in May 2022 with $300,000 ARR. Despite hurdles, like my temporary detour to aid the Armed Forces of Ukraine, we thrived, clinching enterprise contracts and elevating ARR to $450,000 by Demo Day. Post-YC, while grappling with revenue challenges hindering our progress, we gleaned valuable insights into customer alignment, reaffirming our dedication to efficient growth and customer-centricity."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Deciding to apply to Y Combinator was a big step for us. We wanted to take NewsCatcher to the next level, and YC seemed like the perfect fit with its reputation for helping startups succeed. In early 2021, we applied to TinySeed, Alchemist Accelerator, and YC for the third time. TinySeed offered us a spot, which we accepted, even though we also got an interview invitation from YC. We had a monthly revenue of $3,000 at that time. Over the next year, we hired Aditya, Aakash, and Ibrahim and grew our monthly revenue to $25,000. This encouraged us to apply to YC again. In May 2022, despite the challenges of the Ukraine conflict and Artem's temporary absence to help the Armed Forces, we decided to reapply to YC. Our dream came true when Michael Seibel interviewed us, and we got in. Joining YC with around $300,000 in yearly revenue, we embraced their focus on fast growth and solving real problems. Throughout the program, we learned a lot from mentors and other founders. By Demo Day, our yearly revenue had grown to $450,000. After YC, Artem spent two days fundraising and found a great investor in Uncommon Capital, led by Jamie Quint. We also got support from other YC alums."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "Staying connected with the YC community has been super important for us as we figure out life after our time in the batch with NewsCatcher. We've been using all the cool stuff YC offers to help us grow and get better. Their knowledge base has been a goldmine of tips and tricks that have really helped us make NewsCatcher bigger and better.We've also been talking to other folks in the YC community for advice on running our business and bouncing around ideas. It's been awesome to have a bunch of other founders and experienced mentors cheering us on and giving us advice as we tackle the challenges of starting up.Plus, we've been taking advantage of discounts YC offers for different services, which has been a huge help in making our operations smoother and saving us some money. The YC community has been super generous in sharing their resources and expertise, and we're really grateful for all the support and camaraderie. It's been a big part of our journey as founders, and we couldn't have done it without them!"
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "**February 2020:** me and Maksym, both Data Engineers, co-found NewsCatcher driven by a shared passion for data and dissatisfaction with existing solutions. **April 2020:** Launch of NewsCatcher's beta, followed by the release of V1 product on RapidAPI in June, attracting first paying customers. **January-February 2021:** Joining TinySeed accelerates growth, leading to rapid revenue increase and team expansion. **May 2022:** Reapplication and acceptance into Y Combinator highlight commitment to excellence and innovation. **2023:** NewsCatcher experiences significant growth, achieving an ARR of $1.13 million. **2024:** Setting ambitious goals, aiming to grow ARR to $3.7 million. Focus on building scalable customer success processes to maximize retention and upsells. Additionally, hiring first Account Executives to drive sales growth and expand market reach."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "NewsCatcher is all about tackling the big challenge of making real-time news data easy to access from a wide range of sources. Many businesses and researchers struggle to get up-to-date info for things like market analysis, trend tracking, and content creation. It's a pain to manually gather news from lots of places—it takes forever and isn't very efficient. We decided to tackle this problem because, as Data Engineers ourselves, we know the frustration of trying to get good news data for projects. We realized that making this info more accessible could have a huge impact, so we decided to use our skills to do something about it.With NewsCatcher, our goal is to make real-time news data available to everyone. We've gathered news from over 70,000 sources and made it easy and affordable for anyone who needs it. We believe that by solving this problem, we can help spark innovation and improve decision-making.We're all about prioritizing data quality, adaptability, great customer service, and keeping things simple. That way, our customers can always count on getting the news they need to succeed."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our long-term vision for NewsCatcher is to change the game when it comes to how businesses get and use news data, making the business world more informed and connected. If we truly succeed:\\* Businesses of all sizes will have equal access to real-time news data.\\* Decision-making across industries will be more informed and agile.\\* Innovation will be accelerated, driving economic growth.\\* Transparency and accountability in business operations will be enhanced.\\* Global connectivity and collaboration among businesses will be strengthened.Basically, we want to give businesses the tools they need to succeed in today's fast-paced and interconnected global market."
      }
    ],
    "url": "https://www.ycombinator.com/companies/newscatcher",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/newscatcher.json",
    "year_founded": 2021,
    "city": "Kyiv",
    "country": "UA",
    "linkedin_url": "https://www.linkedin.com/company/newscatcherapi/?viewAsMember=true",
    "x_url": "https://twitter.com/newscatcherapi",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 444913,
        "full_name": "Artem Bugara",
        "title": "Founder",
        "founder_bio": "Artem Bugara is the co-founder, CEO of NewsCatcher. Artem works with data and risk teams to help them integrate actionable signals from online news. Previously he ran a team of data engineers for one of the largest underwriting companies within the aviation, energy, and space insurance sectors.\n\nHe earned a degree in Econometrics from Toulouse School of Economics. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/artem-bugara/",
        "x_url": "https://twitter.com/bugaralife",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/717c77848f35ff3f50a1978f5ec2430ab5b55273.jpg"
      },
      {
        "user_id": 472880,
        "full_name": "Maksym Sugonyaka",
        "title": "Founder",
        "founder_bio": "Maksym Sugonyaka is the co-founder and CTO of NewsCatcher. After one year of a stable job, Maksym understood that the only place where he could realize his potential was entrepreneurship. Now in NewsCatcher, Maksym is the one to take key strategic and technical decisions in order to make the best News API on the market. \n\nHe has a Master's Degree in Data Science and Finance from Paris Sorbonne. But then,  he became a self-taught Data Engineer.  \n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/msugonyaka/",
        "x_url": "https://twitter.com/kizy625",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d3748b7ed0c74799452205a4a62beb4d707d66b.jpg"
      }
    ],
    "jobs": [
      {
        "id": 92394,
        "title": "Software Engineer (Backend & LLM)",
        "url": "https://www.ycombinator.com/companies/newscatcher/jobs/cuGf2UW-software-engineer-backend-llm",
        "location": "LB / UA / PL / LT / RO / Remote (LB; UA; PL; LT; RO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$60K - $85K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Kubernetes",
          "Python",
          "Docker"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 99812,
        "title": "CatchAll: Recall-first web search API",
        "tagline": "Turning the web into a structured database of real-world events",
        "body": "Hello, hackers! We’re Artem and Maksym, founders of NewsCatcher.\\\n\\\nWe’re building a structured, event-centric index of what happens in the real world. Today, that starts with CatchAll — a recall-first search API that finds all relevant matches to a query, extracts structured facts, and delivers clean, ready-to-use datasets.\\\n\\\n<https://www.youtube.com/watch?v=GPfVdNRoDsA>\\\n\\\n**The problem**\\\nTraditional web search — and most search APIs — were designed for humans. They optimize for **speed and ranking**, which works well when one page contains the answer:\n\n* “Who is the CEO of a company?”\n* “What’s the latest acquisition in X?”\n\nBut many high-stakes questions don’t have a single answer:\n\n* _All_ regulatory actions affecting an industry\n* _Every_ cybersecurity incident in a given week\n* _All_ funding rounds, policy changes, or facility expansions\n\nIn these cases, **recall is everything**.\\\nIf 200 valid events exist and your system surfaces 5, your recall is 2.5%. No amount of prompting or post-processing fixes that.\n\nLLMs and “deep research agents” haven’t solved this. They still open and read pages one by one, hit context limits, and end up sampling rather than exhausting a topic.\n\n\\\n**The solution**\\\nCatchAll is a recall-first web search API built for long-list answers — answers distributed across the open web.\n\nCatchAll:\n\n* Pulls a large candidate set from NewsCatcher’s proprietary web index (often tens of thousands of pages)\n* Validates which pages actually match the criteria\n* Extracts structured fields (companies, dates, locations, actions, amounts — defined by the user)\n* Normalizes and deduplicates everything into clean records\n\nThe output isn’t links.\\\nIt’s a dataset that didn’t exist before — and can be kept up to date by turning the query into a **live monitor**.\n\nFor teams, the end result is fewer searches and more reliable alerts.\\\n\\\n**Backstory**\\\nMaksym and I have known each other for almost 20 years. NewsCatcher is our first startup — we've been building it since 2020. It started as a bootstrapped self-serve news API for startups, and then grew into custom enterprise solutions (powering the US Department of State, Transparency International, Samsung, 50+ enterprise clients). CatchAll is us coming back to self-serve: same infrastructure, now optimized for the AI agent ecosystem.\\\n\\\nSign up [here](https://platform.newscatcherapi.com/catchall?utm_source=launch_yc&utm_medium=social&utm_campaign=Launch_YC_CatchAll&utm_id=catch_all_YC), test CatchAll (for free), and give us feedback (we’ll 5x your credits!).\\\n\\\nShare your use-cases:\\\n[artem@newscatcherapi.com](mailto:artem@newscatcherapi.com) or DM on [https://www.linkedin.com/in/artem-bugara](https://www.linkedin.com/in/artem-bugara/)\n\n![uploaded image](/media/?type=post&id=99812&key=user_uploads/444913/74de4236-76fc-4c2b-8ef4-d02248dd0837)\n\n",
        "url": "https://www.ycombinator.com/launches/Pxs-catchall-recall-first-web-search-api",
        "votes": 5,
        "created_at": "2026-04-16T15:13:11.193Z"
      },
      {
        "id": 65153,
        "title": "NewsCatcher - News API for risk and data teams",
        "tagline": "We help data and risk enterprise teams get instant access to machine-readable news from over 40,000 online news sources",
        "body": "**tl;dr:** We make it easy for data, market research, and risk teams to integrate machine-readable news feed into their internal analytics system. \\\n\\\nHey Fam, we're [Artem](https://www.linkedin.com/in/artem-bugara/) and [Maksym](https://www.linkedin.com/in/msugonyaka/) and we're building [NewsCatcher](https://newscatcherapi.com/). We're on a mission to empower data-driven organizations with the highest quality and easiest-to-use News API. \\\n\\\n**❌ The Problem**\n\nIt’s easy to consume news as a human: you open Google News and read.\n\nNow, imagine:\n\n* you work for a bank, and you have to perform negative news searches for all new & existing accounts for anti-money laundering & financial crime checks\n* you work for a PR firm that has to monitor news mentions on your clients and their competitors\n* you’re an analyst in an investment firm, and you need to calculate news sentiment for each company on the market over the past N years\n* you want to show relevant news to the users on your app to make them spend more time on it\n\n“Humans reading the news” is not a scalable way to resolve a problem anymore, and it’s expensive.\n\n**✨ Our Solution**\n\nSearch and integrate news with code. Find news articles by any topic, country, language, website, or keyword with REST JSON News API.\\\n**Go ahead, and make some API calls on our** [**demo page**](https://demo.newscatcherapi.com/)**.**\n\nWe’ve built a generic news crawler that automatically finds new articles, normalizes them, and indexes them. So, you can now automate the news consumption and analysis via an API.\n\nYou can read more over this [link](https://docs.newscatcherapi.com/knowledge-base/how-newscatcher-works) from our knowledge base.\n\nHere is how an article would look in our search:\n\n![uploaded image](/media/?type=post&id=65153&key=user_uploads/444913/1c4d6e37-3e46-4c2a-a864-a969a80279e4)\n\n\\\nTop 3 use cases from our clients:\n\n* **risk intelligence**: find insights in the news before they get visible in financial reports days or months later\n* **integrate news** into your app\n* **media monitoring** on millions of companies all around the world\n\n\\\n\\\n**🙏 Asks**\n\n1. Try our News API: claim your [API key](https://app.newscatcherapi.com/auth/register), or/and [book a technical session with us](https://savvycal.com/newscatcher/chat)\n2. Are you experienced with extracting data from HTML, or you’re an NLP expert? We’d love to chat!",
        "url": "https://www.ycombinator.com/launches/Gwr-newscatcher-news-api-for-risk-and-data-teams",
        "votes": 46,
        "created_at": "2022-08-05T13:27:00.532Z"
      }
    ]
  },
  {
    "id": 26861,
    "name": "100x",
    "slug": "100x",
    "former_names": [
      "Videobug",
      "Unlogged"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e57695e93f2c0c4bd59ac6e3b1a1d55dfeb43099.png",
    "website": "https://100x.bot?utm_source=inbound&utm_medium=bookface&utm_campaign=yc&utm_id=122",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "",
    "one_liner": "Create, Share, and Monetize AI Agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1656204103,
    "tags": [
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/100x",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/100x.json",
    "year_founded": 2024,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/104098465",
    "x_url": "https://twitter.com/UnloggedI",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e57695e93f2c0c4bd59ac6e3b1a1d55dfeb43099.png",
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    "founders": [
      {
        "user_id": 128339,
        "full_name": "Shardul Lavekar",
        "title": "Founder",
        "founder_bio": "Shardul Lavekar is the founder of 100x.Bot, a no-code platform for AI automation.\nHe is a serial entrepreneur with successful exit (AuthMe acquired by Airtel 2018). \nCo-founded Unlogged (YC S22). Previously led AI products at Airtel X Labs.\nCurrent: Building 100x.Bot to democratize AI agents - Zapier meets modern automation, no coding required.",
        "is_active": true,
        "linkedin_url": "https://in.linkedin.com/in/shardul-lavekar-96049414",
        "x_url": "https://twitter.com/shardullavekar",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22659ab9c42c1ac5ba313497fa9b4a5a254be533.jpg"
      },
      {
        "user_id": 29571,
        "full_name": "Parth Mudgal",
        "title": "Founder",
        "founder_bio": "Co-Founder of 100x, a Y Combinator-backed company creating AI-powered browser automation tools that help professionals save hours of manual work every week. Previously, he co-founded Unlogged (YC S22), where he built automated testing solutions for Java developers that reduced debugging time by up to 2 hours per day.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/parth-mudgal-8129604a",
        "x_url": "https://twitter.com/phparth",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a14cdacd4f36baadda1fc534c13bd728e7aeb9c5.jpg"
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    "news": [],
    "launches": []
  },
  {
    "id": 26863,
    "name": "Provision",
    "slug": "provision",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/385a0231f7ab5d980e79ffdfbfa16bc2183b283d.png",
    "website": "https://provision.com",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Provision is building the AI Estimator for construction. We identify risks and obligations in contracts, specs, and drawings so contractors can reduce time spent reviewing documents and focus on winning and delivering projects profitably. Backed by Y Combinator (S22).",
    "one_liner": "Ironclad for construction",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1653315975,
    "tags": [
      "Documents",
      "Machine Learning",
      "Construction",
      "Productivity",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/provision",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/provision.json",
    "year_founded": 2022,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/provision-software-co",
    "x_url": "https://twitter.com/UseProvision",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/provision-1d32",
    "github_url": "https://github.com/provisionsoftwarecorporation",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/385a0231f7ab5d980e79ffdfbfa16bc2183b283d.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 351083,
        "full_name": "Luigi La Corte",
        "title": "Founder",
        "founder_bio": "Luigi is the co-founder and CEO of Provision. Before co-founding Provision, he worked in the construction industry for seven years between Arup (a multi-disciplinary engineering design firm) as a civil engineer and Plenary (infrastructure developer) as a Director. He managed $3B+ of large infrastructure projects with some of the most sophisticated stakeholders across the value chain (owners, GCs, sub-contractors, facility managers). ",
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        "body": "**Hi! we're Sytex, and we want everyone to have great connectivity, anywhere in the world.**\n\nTechnology-deploying industries, like energy and telecom, manage thousands of activities, field crews, documentation, and materials, all in parallel. For project teams, it's nearly impossible to keep up to date with everything that happens while executing, and that's where excel files start flying around.\n\nLarge companies have corporate platforms in place, but mainly to please the necessary management reports.\n\nAs a result, your own connectivity is compromised by delays, miscommunications, and worse of all, quality problems.\n\n## **Our Solution**\n\nAn OS for project teams deploying technology, that's great to use!\n\n* Design and create processes in minutes\n* Manage activities and documents with our mobile app\n* Integrate stock, contractors, quotations, checklists, and much more\n\nOur goal is to make it easier to deploy technology. Creating a community where project resources and field crews showcase their abilities is our next step. We believe this will help everyone to find and source the best talents, and thus, transform rollouts everywhere.\n\nWe are already working with the largest players in LATAM (Telefónica, Claro), Tower companies, and ISPs of all shapes and sizes.\n\n![uploaded image](/media/?type=post&id=65252&key=user_uploads/347622/e15df937-edb8-45e2-afeb-33b7e5a207b1)\n\n## **Who we are**\n\nWe're Mariano, Juan, Fede and JJ, all Telecom & Software Engineers, with experience delivering project mgmt software, planning, and sales for large industrial companies worldwide.\n\nIn our previous jobs we found that collaborating on information is the biggest driver for a project's success, but today is not encouraged by current software solutions.\n\n## **We’d love your support** 🍻\n\nWe love understanding new project scenarios, geographies, and companies.\n\nWant to give it a try? Know someone that faces these challenges?\n\nWe'd love to talk!\n\nEmail us at [info@sytex.io](mailto:info@sytex.io)",
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        "full_name": "Josh Supan",
        "title": "Founder",
        "founder_bio": "CEO of Shipmates",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/joshsupan/",
        "x_url": "",
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    "news": [
      {
        "title": "Shipmates makes order fulfillment less tedious for Philippines' online sellers • TechCrunch",
        "url": "https://techcrunch.com/2022/09/07/shipmates-makes-order-fulfillment-less-tedious-for-the-philippines-online-sellers/",
        "date": "Sep 07, 2022"
      }
    ],
    "launches": []
  },
  {
    "id": 26872,
    "name": "Neosync",
    "slug": "neosync",
    "former_names": [
      "Nucleus"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f9b88ea0ac50da754bbb784bc3e860890a742e2.png",
    "website": "https://neosync.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Neosync is an open-source platform that allows you to create anonymized or synthetic data and sync it across all environments for testing and machine learning. Companies in highly regulated industries such as FinTech, HealthTech, InsureTech and those with sensitive data can use Neosync to create production-like data to use for debugging and building features in lower-level environments without the security and privacy risk of using production data. ",
    "one_liner": "Neosync is an open-source anonymization and synthetic data platform.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1656362334,
    "tags": [
      "Developer Tools",
      "SaaS",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/neosync",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/neosync.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/neosync",
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    "github_url": "github.com/nucleuscloud/neosync",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 2062726,
        "full_name": "Evis Drenova",
        "title": "Founder",
        "founder_bio": "Evis is the CEO/Co-founder of Nucleus. Before Nucleus, he was one of the first Product hires at Skyflow, a data privacy and security company, and led Product and GTM for the Fintech market from Seed -> Series B. Prior to Skyflow, he was Head of Product at Truedata, a Managing Consultant at IBM and started his career in Enterprise Sales at Experian and Oracle. He was born in Albania, grew up in Boston and currently resides in San Francisco.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/evisdrenova",
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    "jobs": [],
    "news": [
      {
        "title": "Nucleus aims to simplify the process of managing microservices • TechCrunch",
        "url": "https://techcrunch.com/2023/01/16/nucleus-aims-to-simplify-the-process-of-managing-microservices/",
        "date": "Jan 16, 2023"
      }
    ],
    "launches": [
      {
        "id": 85312,
        "title": "Neosync - PII Detection and Anonymization in Free-form Text",
        "tagline": "Real time PII detection and redaction in structured and unstructured data.",
        "body": "We’re an open source data anonymization and synthetic data platform that companies like Intel, Siemens, C2FO, Alasco and others use to anonymize their sensitive production data and sync it to lower-level environments.\n\nToday, we’re launching a new product designed to detect and anonymize PII data in free-form text.\n\nThese are two main use cases:\n\n1. **Detecting and redacting PII data before sending it to an LLM for inference**. If you’re building agentic systems or working with LLMs and sensitive data, you shouldn’t be sending your sensitive data to those LLMs. You can now use our API to first detect and anonymize that data and then send it to your LLM provider.\n2. **Detecting and redacting PII data before training.** You generally want to avoid training a model on PII (especially if others will be using it). You can use our API to detect and redact free-form text in training data so that you’re not training it on PII.\n\nFor example:\n\nThe text:\n\n```\n{ text: \"Dear Mr. John Chang, your physical therapy for your rotator cuff injury is approved for 12 sessions. Your first appointment with therapist Jake is on 8/1/2024 at 11 AM. Please bring a photo ID. We have your SSN on file as 246-80-1357. Is this correct?\"}\n```\n\nWould be transformed to:\n\n```\nAnonymization result: '{\"text\":\"Dear Mr. \\u003cREDACTED\\u003e, your physical therapy for your rotator cuff injury is approved for 12 sessions. Your first appointment with therapist \\u003cREDACTED\\u003e is on \\u003cREDACTED\\u003e at \\u003cREDACTED\\u003e. Please bring a photo ID. We have your SSN on file as \\u003cREDACTED\\u003e. Is this correct?\"}' \n```\n\nYou can also customize this with custom allow/deny lists and even custom recognizers.\n\nWe’re already working with companies in Healthtech and Fintech on this and would love to open it up to more companies. If you’re interested in trying it out, shoot me a note at [**evis@neosync.dev**](mailto:evis@neosync.dev), and I can get you a sandbox and free credits to trial it.\n\n![uploaded image](/media/?type=post&id=85312&key=user_uploads/89898/ea3d02aa-68e7-4a21-8bd0-c35f9786490e)\n\n",
        "url": "https://www.ycombinator.com/launches/MC0-neosync-pii-detection-and-anonymization-in-free-form-text",
        "votes": 10,
        "created_at": "2024-11-06T01:45:44.699Z"
      },
      {
        "id": 64124,
        "title": "Nucleus - The Modern Backend Platform for Microservices",
        "tagline": "Nucleus automates security, observability, secrets management and more for microservices in a single platform.",
        "body": "**Nucleus is a platform that helps developers build, deploy and manage a production-grade microservices architecture in minutes.**\n\n### **Problem**\n\nBuilding a microservices architecture is complex and can easily take 6+ months. From our experience at our own companies and from talking with many engineering teams, we see that most engineering teams try to build this platform from scratch by piecing together AWS or GCP building blocks. The problem is that this is difficult, incredibly time consuming and if not done right, can be a massive security risk. You shouldn’t have to be an infrastructure and security expert to have a secure, scalable architecture. That’s where Nucleus comes in. \n\n**Who uses Nucleus?**\n\nCompanies that want to use microservices but don’t want to spend months building out their infrastructure. These can be early stage companies that are just starting out, to mid-market companies that are architecting for growth.\n\n**How it works**\n\nNucleus is delivered through an interactive CLI that helps you declaratively define your service. Here is an example of the declarative file:\n\n![uploaded image](/media/?type=post&id=64124&key=user_uploads/980900/fb0612aa-3ab3-4e0f-8a48-aa76dd40fb8b)\n\nHere is how to deploy a microservice:\n\n1. Install the CLI through homebrew and sign up for an account.\n2. Write your service’s code or use one of our example repos to quickly get started.\n3. Declaratively define your service using the interactive Nucleus CLI. All services are automatically authenticated and secured. Manage things like environment variables, secrets, and logging, all from the CLI.\n4. Deploy your service, and it will be available in less than 2 minutes.\n\n**Can I try it?**\n\nYes! We just kicked off our private beta and would love to have you test the system to the limits. To get started, just shoot us your email so we can add you to the allowlist. Easy as that!\n\n**The Ask**\n\n1. Try us out and give us feedback. We obsess over with the developer experience, and want to make it as intuitive and magical as possible.\n2. Talk to us about your backend :) We’re focused on microservices and want to learn more about what you like, don’t like or don’t know about them. Collectively, we have 25 years of experience in engineering & product. We can be a sounding board or help you design your architecture.\n\nHave questions? Shoot me an email at [evis@usenucleus.cloud](mailto:evis@usenucleus.cloud) or feel free to book some time directly here: <https://calendly.com/evis1/30min>",
        "url": "https://www.ycombinator.com/launches/GgG-nucleus-the-modern-backend-platform-for-microservices",
        "votes": 39,
        "created_at": "2022-06-28T01:18:30.749Z"
      }
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  },
  {
    "id": 26876,
    "name": "Zoltar Labs",
    "slug": "zoltar-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c6e0f60f05c93e4aa70e811f7fa2df38afbb600.png",
    "website": "https://www.zoltarlabs.com/",
    "all_locations": "New York City, NY, USA; Mountain View, CA, USA",
    "long_description": "",
    "one_liner": "AI-assisted CX tool built with your knowledge.",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1655313874,
    "tags": [
      "SaaS",
      "Customer Success",
      "Customer Support",
      "Enterprise Software"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/zoltar-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/zoltar-labs.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/zoltar-labs",
    "x_url": "https://twitter.com/ZoltarLabs",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/zoltar-labs",
    "github_url": null,
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        "user_id": 849908,
        "full_name": "Jensen Kuo",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO at Zoltar Labs. Previously engineering @LinkedIn and @Yelp. Cornell CS Alum.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/jensenkuo/",
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    "launches": [
      {
        "id": 64209,
        "title": "🚀 Zoltar | AI-assisted CX tool built with your knowledge. ⚡️",
        "tagline": "🧗 On a mission to reimagine CX operations",
        "body": "Hey Fam 👋\n\nJensen and James from [@Zoltar Labs](https://ycombinator.com/companies/zoltar-labs) here! Zoltar is the most efficient way for CX teams to handle support requests through AI-powered automation.⚡️\n\n---\n\n**What is Zoltar 💡**\n\nZoltar is an AI system trained to handle customer support requests with actions from a company's APIs. Examples of use cases include: 1) helping e-commerce marketplaces automate customer requests to process an item exchange or track order status, 2) helping freight marketplaces automate customer requests to change a delivery address. \n\nZoltar can be deployed across different support channels including live chats and emails, and is integrated with Intercom / Zendesk / Salesforce / Kustomer so companies can leverage existing systems to resolve user issues more efficiently. \n\n**Who is This For 👶**\n\nCompanies that spend extra time and headcount to process repetitive customer requests, such as:\n\n* ✍️ Tracking orders or returns/refunds\n* ❓Questions related to canceling orders, user accounts being blocked, reactivating user subscriptions, etc\n* Any other repetitive inquiries that your reps are faced with\n\n---\n\n**Why We Built This 😷**\n\nWhen customers contact support, they expect resolution right then and there.\n\nMost AI tools / chatbots on the market today are limited to extracting and presenting information to customers, and cannot offer direct resolutions to customer problems. That means something as simple as changing details about a purchase (in the case of e-commerce, for example) still requires a human rep to resolve. We believe there is a much more efficient way to serve customers.\n\nUnlike common AI chatbots, Zoltar takes action on your customers’ queries with the appropriate API calls, alleviating support reps from manually processing customer requests or performing repetitive tasks.\n\n---\n\n**We’d Love to Hear From You** 🤝\n\nEmail us at [jensen@zoltarlabs.com](https://mailto:jensen@zoltarlabs.com) or [james@zoltarlabs.com](https://mailto:james@zoltarlabs.com) if…\n\n* You are a founder/business owner looking to automate customer tasks that were traditionally done manually \n* You are a COO/CTO/customer ops/customer support director looking to increase support efficiency and reduce cost-per-contact\n\n---\n\n**Sign up for our** [**demo**](https://www.zoltarlabs.com/) **today!**",
        "url": "https://www.ycombinator.com/launches/Ghd-zoltar-ai-assisted-cx-tool-built-with-your-knowledge",
        "votes": 439,
        "created_at": "2022-06-30T02:36:56.264Z"
      }
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  {
    "id": 26877,
    "name": "Peoplebox.ai",
    "slug": "peoplebox",
    "former_names": [
      "Peoplebox Inc",
      "Peoplebox"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d90945bbd65aa37022870fefcb46d282f82e8624.png",
    "website": "https://www.peoplebox.ai",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Peoplebox.ai is an AI-native talent platform used by 500+ companies to hire, manage, and grow their people.\r\n\r\nAt the center is Nova, the world’s most human-like AI teammate, for all talent conversations. Nova runs two-way voice/video pre-screen calls, first-round interviews (with coding round and advance proctoring), check-ins, and assessments,  all with your company’s context built in.\r\n\r\nThe talent management platform brings together OKRs/goals, performance reviews, career growth, calibration, and compensation into one unified system, helping companies align, assess, and develop talent faster.",
    "one_liner": "AI talent platform to hire, manage, and grow your people ",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1653465182,
    "tags": [
      "SaaS",
      "B2B",
      "Recruiting",
      "HR Tech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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      "Human Resources"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/peoplebox",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/peoplebox.json",
    "year_founded": 2018,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/in/abhinavchugh/",
    "x_url": "https://twitter.com/peopleboxai",
    "fb_url": "https://www.facebook.com/peopleboxai",
    "cb_url": "https://www.crunchbase.com/organization/peoplebox-ai",
    "github_url": "https://github.com/Peoplebox",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d90945bbd65aa37022870fefcb46d282f82e8624.png",
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    "founders": [
      {
        "user_id": 213135,
        "full_name": "Abhinav Chugh",
        "title": "Founder",
        "founder_bio": "Abhinav is Co-Founder & CEO at Peoplebox. Previously co-founded VideoCrisp in Dublin - a cloud-based video creation platform recognised as one of the world's top 50 startups, featured in PBS and Silicon Republic. Also built Waybiz, a B2B trust marketplace spanning 80,000+ businesses across 110 countries. Holds a B.Tech from IIT Delhi and an MBA from UCD Smurfit Business School. Invited to the U.S. International Visitor Leadership Program (IVLP). Passionate about AI, startups & building globally.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abhinavchugh/",
        "x_url": "https://twitter.com/abhichugh",
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      },
      {
        "user_id": 551,
        "full_name": "Alagu M",
        "title": "Founder",
        "founder_bio": "Alagu is Co-Founder at Peoplebox. Previously co-founded Askmile, India's popular online relationship counseling platform, and Markupwand (YCS22) a PSD to HTML software. Before founding, he led product at Practo driving 1M+ app downloads and expansion to 10 countries. Holds an engineering degree from NIT Trichy. Passionate about AI, badminton, yoga and Sushi.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alagu2/",
        "x_url": "https://www.twitter.com/alagu",
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    "launches": [
      {
        "id": 95916,
        "title": "Nova: The world’s most human-like AI interviewer",
        "tagline": "Never screen a resume or do a first-round interview manually",
        "body": "**TL;DR:** [Nova](https://www.peoplebox.ai/nova?utm_source=yc_launch&utm_campaign=yc_post) speeds up your hiring by automating resume screening, interviews, live coding, and instant decision-ready reports - with the most human-like AI.\n\nhttps://www.youtube.com/watch?v=7D6qJRYV2Qc\n\n---\n\n## **The Problem**\n\nYou open your ATS. 300 applicants.\n\nYou start screening. After 10 resumes, everything looks identical.\n\nYou move to interviews.\n\nNo-shows. Rambling candidates. Zero panel bandwidth.\n\nAnd when interviews _do_ happen, **90% get rejected**, wasting everyone’s time.\n\nHiring shouldn’t mean spending most of your time on candidates who are **not a fit**.\n\n---\n\n## **Meet Nova: the digital twin of your best recruiter & interviewer**\n\nNova is really the digital twin of your best recruiter and interviewer, available 24/7.\n\nShe -\n\n1. screens candidates,\n2. makes sourcing calls & outreach,\n3. runs full voice/video interviews (with advance proctoring)\n4. do interactive coding round like an expert engineer\n5. provide detailed report with recommendation\n\nHere’s a real snippet of her interviewing a tech candidate:\n\nhttps://youtu.be/jNqugi34uOU?si=WyrdbA9V1gu9thF6\n\nNova takes over your **whole Level-1 process** so you can only focus on highly vetted candidates\n\nAnd she doesn’t stop there.\n\nShe also finds candidates for you, reaches out via InMails, email sequences, and even phone calls and books the first-round interview directly with herself 😉\n\nInbound, outbound, or referral, Nova owns everything until you receive a detailed, **decision-ready report** for every candidate, without spending a single minute. 👇\n\n![uploaded image](/media/?type=post&id=95916&key=user_uploads/213135/784f0317-e896-4f96-87b1-fe4dfc08d939)\n\n\\\nAnd **candidates love it**. Here’s what they say 😄\n\n> I was immensely impressed with the kind of questions and the way the tool responded!\n\nLeo Parker, DevOps Engineer\n\n> The AI voice was quite friendly and human like, which really helped in setting the environment. For example, the pauses and use of ‘Uh’s made feel very natural.\n\nIsabella, Software Architect\n\n---\n\n## **How Nova screens like your best Interviewer?**\n\nAll you need to get started is give her the JD but **you control everything**:\n\n**Skills, depth, difficulty**, interview type, tone, and structure.\n\nNova makes the screening process exactly how you want it.\n\n![uploaded image](/media/?type=post&id=95916&key=user_uploads/213135/23d75b86-2360-4c0d-a7a6-95ba6a363884)\n\nAnd she gets smarter.\n\nNova learns from your company’s own data: job descriptions, past interviews, ATS notes, performance signals, employee lifecycle insights.\n\nShe turns all of that into **hiring insights** and screen with the judgment of your best people.\n\n## The Impact\n\nMost customers have reduced time-to-first-interview report from **4–5 weeks to under 48 hours**.\n\nHere’s what Sprinto, a hyper-growth SaaS startup had to say\n\n> Nova has been a game changer for our recruitment operations over the last six months. We initially started using it to automate resume screening and shortlisting, and the difference was visible almost immediately. \\\n> \\\n> What used to take hours of manual effort now happens with remarkable accuracy and consistency.\n>\n> Just for the first-round screening alone, we saved well over 100 hours of recruiter time, and that time was redirected toward more meaningful work.”\n>\n> **Shankar Singh, Head of Recruitment, Sprinto**\n\n## **Use Nova to hire your next best talent today**\n\nSee how human-like AI can speed up your hiring:\n\n[https://www.peoplebox.ai/nova](https://www.peoplebox.ai/nova?utm_source=yc_launch&utm_campaign=yc_post)",
        "url": "https://www.ycombinator.com/launches/Ox2-nova-the-world-s-most-human-like-ai-interviewer",
        "votes": 47,
        "created_at": "2025-12-02T15:44:19.920Z"
      },
      {
        "id": 64863,
        "title": "🚀 Peoplebox - OKR & performance platform for hypergrowth companies",
        "tagline": "A single dashboard to track all strategic goals, initiatives and red-flags, in real-time",
        "body": "**TL;DR:** [**Peoplebox**](https://peoplebox.ai/) **solves the biggest problems of scaling companies - Misaligned teams and Poor Execution Speed. We do this by integrating with all your work tools, bringing every cross-aligned goal in one single dashboard to identify red flags on time.**\n\nHowdy, Everyone!\n\nWe are [@Abhinav Chugh](https://www.linkedin.com/in/abhinavchugh/) and [@Alagu M](https://www.linkedin.com/in/alagu2/), founders of Peoplebox, an OKR platform that makes it easy for growing companies to align their teams and execute faster.\n\nIt serves as a source of truth for all your strategic goals and initiatives to align your teams and identify red flags early **without the friction of new software.**\n\nWe are currently helping many companies, including **Razorpay (W15), Disney, Postman, Exotel, Khatabook (S18), StayQrious (W20)** achieve faster business results.\n\n### **❌ The Problem**\n\nAs companies grow, they find it difficult to execute their strategy with the same speed as before due to misalignment and lack of cross-functional visibility. OKRs solve this problem, but they are hard to implement.\n\nIn fact, 7 out of 10 OKRs implementations fail, and no 1 reason is: **Set and Forget**.\n\nToday,\n\n* OKRs are written in spreadsheets\n* Metrics are tracked in BI tools\n* But MBRs (Monthly Business Reviews)/ QBRs are done in Powerpoints.\n\n## **✨ What makes Peoplebox different?**\n\nPeoplebox integrates with all your work tools (SQL, Jira, Hubspot, Asana, Slack etc) to make real-time goal tracking and business reviews **magically easy**.\n\n![](https://lh4.googleusercontent.com/4PtJRPu4p_gt7Jzwxsz_fZ_CxxnHy7ip2_uaUdDMzhgkEy2aU5YuPiz7RBsSTejZP01lVKw9fpPnEouw4KDiuv2AMcUz3u4q4qTMD0xUMcLHG8TFd50aoztjPcan8j1PxX1vxAGHGLibmjKGvxspvAw)\n\nIt aligns and tracks all your strategic priorities, goals & initiatives in one place. This help identifies red flags early and makes timely corrections.\n\nIn addition, your business reviews are structured and super effective, ensuring that\n\n1. It happens on the same place where OKRs are set so you never miss talking about it.\n2. Plug data, narratives, screenshots and media easily.\n3. Can run structured reviews through templates, notes, and action items\n4. Takes a few hours instead of days to prepare for reviews because of automated updates of goals and initiatives\n\n![](https://lh3.googleusercontent.com/9P-49NV7lpW0inlxEhtDD8KeEA1tlMrN8ogGT9VyS18s-E0pYouj0RVwi97N1SUuOxLsDWvhlBT_RWGVWfN6ZSJapDgdbtDesIVTuEt1wceLgO_UJvBtou3OgrhRiEB4pgm3_AKZKCrr-VatmYcEbaw)\n\nIt is also deeply integrated with Slack to make it super easy for teams to update OKRs progress and tag people to start a conversation and fix the issues instead of waiting for review meetings.\n\n**In addition, Peoplebox also lets you**\n\n* Run your performance reviews cycle entirely only Slack\n* Do effective and actionable 1:1s to build high-performing teams\n* Run automated pulse and engagement surveys to be on top of your culture\n\n### **Who are we, and why are we building this?**\n\nWe are techies turned product guys, having built our first startups in Dublin, Ireland, and SF (YC S12) respectively. We joined [Practo](https://www.practo.com/), one of Asia’s largest health-tech startups, when it had 250 employees and saw it grow to 3,000 in just a couple of years.\n\nWe witnessed the challenges of hypergrowth companies first-hand. We realized as companies grow, the problems of misalignment and lack of cross-functional visibility only becomes larger, resulting in poor execution speed, missed goals, high talent turnover, and sometimes death.\n\nOur vision at Peoplebox is to become the Operating System for strategy execution to help companies align and achieve moonshot goals.\n\n# **🎁 Let’s talk**\n\nIf you are using OKRs or planning to use them, please [check us out](https://www.peoplebox.ai/) and book a demo to see how Peoplebox can help you implement it successfully and accelerate your business growth.\n\nAbhi and Alagu\\\n[www.peoplebox.ai](http://www.peoplebox.ai)",
        "url": "https://www.ycombinator.com/launches/GsB-peoplebox-okr-performance-platform-for-hypergrowth-companies",
        "votes": 49,
        "created_at": "2022-07-25T17:02:31.738Z"
      }
    ]
  },
  {
    "id": 26882,
    "name": "Coris",
    "slug": "coris",
    "former_names": [
      "Coris Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8d68f694a6b7f9bb0fb7015ac9814c591f45f5d.png",
    "website": "https://coris.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Coris is the AI platform for payments risk and operations. We work with the most ambitious companies around the globe such as GoFundMe, Kajabi, Clio and Cherry to automate merchant onboarding, monitoring, and payment operations. What risk teams only imagined two years ago, Coris is delivering today with our risk platform and AI agents.\r\n\r\nWe’re backed by Y Combinator, Lux Capital, Pathlight Ventures, and other world-class investors — and we’re just getting started !",
    "one_liner": "AI risk and ops platform for Payment Processors, Banks, SaaS…",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1659411610,
    "tags": [
      "Fintech",
      "B2B",
      "Compliance",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/coris",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/coris.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/corisinc/",
    "x_url": "https://twitter.com/CorisInc",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8d68f694a6b7f9bb0fb7015ac9814c591f45f5d.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 808733,
        "full_name": "Vinodh Poyyapakkam",
        "title": "Founder",
        "founder_bio": "Payments Fraud, SMB, Risk & Compliance. Prev: Google, WePay, Paysafe, PayPal, Accenture",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vinodhpo/",
        "x_url": "https://twitter.com/psvinodh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92775bbd1f7783cd2ef5767994ce17309a74124e.jpg"
      },
      {
        "user_id": 982526,
        "full_name": "Shyam Maddali",
        "title": "Founder",
        "founder_bio": "ex-WePay, ex-eBay",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shyammaddali/",
        "x_url": "https://twitter.com/mlshyam",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4716428289cef5c1212db1017901c9efa78c039f.jpg"
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    "jobs": [
      {
        "id": 100286,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/coris/jobs/I26T5Uv-chief-of-staff",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.40% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "AI Agents"
        ]
      },
      {
        "id": 116108,
        "title": "Backend Engineer (AI-Native) — Risk Infrastructure & Integrations",
        "url": "https://www.ycombinator.com/companies/coris/jobs/h0nDly8-backend-engineer-ai-native-risk-infrastructure-integrations",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$160 - $175",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Django",
          "JavaScript",
          "PostgreSQL",
          "Python",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Coris raises $3.7M, sets sights on AI-driven paradigm shift in SMB risk management | VentureBeat",
        "url": "https://venturebeat.com/ai/coris-raises-3-7m-sets-sights-on-ai-driven-paradigm-shift-in-smb-risk-management/",
        "date": "Feb 01, 2024"
      }
    ],
    "launches": [
      {
        "id": 65063,
        "title": "Coris - Manage Small Business Risk Thoughtfully",
        "tagline": "Our data and software helps Fintechs manage SMB Risk with no stress !",
        "body": "**Coris is a Risk API for Fintechs that underwrite SMBs**\n\nHi everyone !\n\nThis is [Shyam](https://www.linkedin.com/in/shyammaddali/) and [Vinodh](https://www.linkedin.com/in/vinodhpo/) from [Coris](https://www.coris.ai/). We are super stoked to share with y’all what we are building.\n\n### **Background**\n\nShyam and I have spent last 20+ years at companies such as eBay, PayPal, WePay/JPMC (_YC S09_) and Google managing small business risk for payments and lending products. Two of the biggest problems we faced were in gaining a solid understanding of what a SMB does at the time of underwriting and continuing to keep a tab externally on how they operate.\n\n### **Problem**\n\n**Traditional bureaus hardly help** with small business credit risk assessment given their abysmal coverage of small businesses, lack of predictive data, painful integrations, and expensive products. Fintechs especially struggle to get the right data on quality of a small business to accurately assess credit exposure\n\nWhile payments data and bank-level financial data have helped somewhat in recent times to fill the void in SMB underwriting, they still miss some huge signals on how a business operates. Biggest problem is lot of **valuable data on a business remain unstructured** in the open internet for models/rules to consume\n\nAlso once a small business is approved for payments, lending or another credit product, **most companies are in dark about them** until they see chargebacks come in or see missed payments\n\n### **Solution**\n\nWe believe there is tremendous potential for alternative credit-relevant data in SMB risk management. With that said, we have two products to start with:\n\n1. **Alternative data on every SMB** in the US through one developer-first API - Licensing details, Website Professionalism signals, Online Reviews based signals, Business Incorporation details, and Local Inspection data\n2. **Monitoring of small businesses** across various online/offline surfaces and raise an alert for action when a business deterioration/failure is suspected, much before chargebacks or defaults start happening\n\n### **Our Asks**\n\n1. If you are running a Fintech/Platform and serve SMBs in the US, we would love to get your direct feedback on what we are building. Even better, **sign up to our** [**beta here**](https://www.coris.ai/#contact_form) !\n2. **Connect us to platforms/companies** that might benefit from what we are building or for us to learn from\n3. **Feel free to say hi at** [founders@coris.ai](mailto:founders@coris.ai) ! We love riffing on SMB underwriting/fraud/KYB and talk shop on where the industry is heading\n4. Last but not the least, **please share this post** ! Please help spread the word on how we are looking to make life easier for Fintechs to serve their SMB customers !!",
        "url": "https://www.ycombinator.com/launches/GvP-coris-manage-small-business-risk-thoughtfully",
        "votes": 71,
        "created_at": "2022-08-02T07:55:11.922Z"
      }
    ]
  },
  {
    "id": 26898,
    "name": "Diversion",
    "slug": "diversion",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cca9dfc5d45583f86876ecd0b8110e7412ab6cd.png",
    "website": "https://diversion.dev",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Diversion is a modern alternative to Perforce and Git, designed for digital entertainment industries like games, virtual production, animation, and 3D/VR. It streamlines collaboration by providing GitHub-like version control for large files and complex projects, integrating seamlessly with tools like Unreal Engine. Built for studios handling massive assets, Diversion ensures efficient workflows, secure storage, and effortless tracking of project history, making it the go-to platform for creative teams managing evolving digital content.",
    "one_liner": "A scalable, cloud-native Perforce and Git alternative",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1660930915,
    "tags": [
      "SaaS",
      "Virtual Reality",
      "Enterprise",
      "Cloud Computing"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Israel",
      "Middle East and North Africa"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/diversion",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/diversion.json",
    "year_founded": 2021,
    "city": "Tel Aviv-Yafo",
    "country": "IL",
    "linkedin_url": "https://www.linkedin.com/company/79021186",
    "x_url": "https://twitter.com/diversion_hq",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/diversion-company",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cca9dfc5d45583f86876ecd0b8110e7412ab6cd.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1014744,
        "full_name": "Sasha Medvedovsky",
        "title": "Founder",
        "founder_bio": "A software engineer, engineering manager and product manager with 20+ years of experience.\nServed as an officer in an elite Israeli cyber-intelligence unit (8200).\nCo-founded Leprechaun (bootstrapped to high profitability, sold in 2012) and Adience (sold in 2015).\nMSc. in Computer Science and MBA from Tel Aviv University, cum laude.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sasha-medvedovsky-10b2381/",
        "x_url": "https://twitter.com/sasham1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51a46a1920ae902653505277a00f01f4b0dd7418.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 26899,
    "name": "Manatee",
    "slug": "manatee",
    "former_names": [
      "Quandry",
      "PreStacks"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a9a0e0f91f37996c715485c30911b32768c3466.png",
    "website": "https://www.trymanatee.com/?utm_source=bookface",
    "all_locations": "College Park, MD, USA; Remote",
    "long_description": "We let you see everything about how prospects interact with your demos, then convert them into paying customers.",
    "one_liner": "DocSend for demos.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1657678584,
    "tags": [
      "B2B",
      "Sales"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/manatee",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/manatee.json",
    "year_founded": 2021,
    "city": "College Park",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/manatee-a7s/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a9a0e0f91f37996c715485c30911b32768c3466.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 962236,
        "full_name": "Bryan Houlton",
        "title": "Founder",
        "founder_bio": "orinlabs.org",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/bryan-houlton/",
        "x_url": "https://x.com/bryan_houlton",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a334b23d8920e92df2d4a797180eb5ebc7060dcb.jpg"
      },
      {
        "user_id": 967148,
        "full_name": "Ryan Downing",
        "title": "Founder",
        "founder_bio": "Engineer @ Navattic",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/ryan-downing-074354170/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2ed54d1e6e249a6252376a7addc056d6ede2f25.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Manatee Joins Forces with Navattic",
        "url": "https://www.navattic.com/blog/manatee-joins-navattic",
        "date": "Jun 12, 2023"
      }
    ],
    "launches": [
      {
        "id": 65286,
        "title": "⚓ Manatee - Interactive demos for your SaaS product",
        "tagline": " Create and manage interactive demos for your SaaS product that anonymize data, auto-update, and track interaction.",
        "body": "TLDR: **We help you create and manage interactive demos for your SaaS product that anonymize data, auto-update, and track interaction.**\n\nHey everyone! [@Bryan](https://www.linkedin.com/in/bryan-houlton/) and [@Ryan](https://www.linkedin.com/in/ryansdowning/) here, excited to share what we have been working on at [@Manatee](https://www.trymanatee.com/).\n\n# 🌟 Our North Star\n\nProspects leaving your demo should know exactly how your product helps them, and be excited to buy.\n\n### 😠 What’s the Problem?\n\n**Product demos should be personalized to each prospect** - and not just data. Often times the demo flow itself isn’t applicable to the user. Here’s how some of our users used to remedy this:\n\n* Pester your engineers to make a demo deployment (which then has to be maintained)\n* Photoshop/Figma to edit static images of the product Walk prospect through a flow and hope it’s useful for them\n\nIf you do any of these things, we could be a fit for you!\n\n### 🔨 The Solution\n\n* **Full fledged sandbox**. Don’t constrain your prospect to a flow, give them access to play with your full platform (without actually having access)\n* Customize these demo environments for each prospect\n* Send the link to the prospect to walk through the demo with them on call or asynchronously\n* Leave Figma-esque comments around the demo to ask questions\n* Replay the prospects interaction with the demo to see what they care about in your product\n* Embed the demo on your site with an email collection form to generate inbound leads\n\nWe put the demos in the hands of the sales team entirely, meaning **every part of the demo process can be done without code**.\n\n### 🤯 Why can’t we just use Walnut/Reprise?\n\nWalnut and Reprise are great products, but have limited use cases. Without a sandbox, you can’t be sure that the prospect is looking specifically for the feature highlighted.\n\nAlso, we auto-update your demo to be in sync with frontend changes!\n\n### ☁️ Asks\n\nIf you’re having trouble converting demo → sale, let us know. We’d love to help. We’ll give you 25% off for 6 months if you reach out to us before demo day and mention this post!\n\n[bryan@trymanatee.com](mailto:bryan@trymanatee.com)\n\n<https://calendly.com/trymanatee/30min>\n\n<https://www.trymanatee.com/?utm_source=launch_yc>",
        "url": "https://www.ycombinator.com/launches/Gz0-manatee-interactive-demos-for-your-saas-product",
        "votes": 14,
        "created_at": "2022-08-10T21:08:45.642Z"
      },
      {
        "id": 64584,
        "title": "💻☁PreStacks: Create Cloud Infrastructure in Seconds",
        "tagline": "Stop wasting development time managing cloud.",
        "body": "### **_TL;DR - Quickly configure a templated cloud stack and deploy to your accounts._**\n\nHey everyone, we’re [Bryan](https://www.linkedin.com/in/bryan-houlton/) and [Ryan](https://www.linkedin.com/in/ryansdowning/) and we’re building [PreStacks](https://www.prestacks.com/). We’re on a mission to reduce the time you spend deploying and managing your cloud.\n\n### **😠 What’s the Problem?**\n\n**Cloud engineering takes time away from building a solid product.** It’s a necessary evil, but let us deal with it.\n\n* Deploying servers, cluster, databases, and configuring pipelines, APIs, and auto-deployments shouldn’t be this hard.\n* Let’s face it. We all have our go-to stack that we deploy in the same way, every time. Why not automate it?\n\n### **🔨 Our Solution**\n\nPreStacks makes building proper cloud infrastructure an easy choice.\n\n* **We provision your infrastructure from the ground up**: GitLab/GitHub, Docker, PostgreSQL, AWS. All connected with PreStacks.\n* **You own the source.** We don’t lock you into a custom cloud or language. We deploy to all of your accounts, so if you need to make changes, you can.\n* **Ongoing monitoring** of your cloud resources.\n\n### **🔄 How It Works**\n\n1. Link your GitLab/GitHub and AWS accounts.\n2. Configure your Stack options (domain name, database size, staging environments, etc).\n3. Watch as a repository gets created in your GitLab/GitHub, resources are provisioned in your AWS, and your first pipeline auto-deployment is triggered.\n4. Within minutes, see **Django’s** `The install work successfully!` pop up at your domain.\n5. Push a change and watch it deploy!\n\n   ![uploaded image](/media/?type=post&id=64584&key=user_uploads/962236/1cc4aa4a-a516-4055-861f-8eb6442e9bd3)\n\n\n### **🤯 The PreStacks Impact**\n\nWe use [@PreStacks](https://bookface.ycombinator.com/company/26899) to build and maintain [@PreStacks](https://bookface.ycombinator.com/company/26899). We noticed that we were provisioning the same stuff for every new project. With [@PreStacks](https://bookface.ycombinator.com/company/26899), we went **2 weeks → 30 minutes** on our initial cloud setup, and now use it to monitor and manage our own servers, freeing up >50% of our cloud development time.\n\n### **☁️ Asks**\n\nIf you are building **Django projects on AWS** (or want to migrate), we are ready to help you simplify your development workflow. Also, let us know **how we can best support your stack** and prioritize our roadmap.\n\nCheck out our demo [here!](https://www.youtube.com/watch?v=rkWBvF-eI3A&ab_channel=BryanHoulton)\n\nIf you have 10 minutes to chat about PreStacks, schedule a time with me [here.](https://calendly.com/quandry/30min) 😀",
        "url": "https://www.ycombinator.com/launches/Gng-prestacks-create-cloud-infrastructure-in-seconds",
        "votes": 19,
        "created_at": "2022-07-13T17:13:14.423Z"
      }
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    "id": 26900,
    "name": "Pluralith",
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    "website": "https://www.pluralith.com",
    "all_locations": "Vienna, Vienna, Austria; New York, NY, USA",
    "long_description": "Pluralith automates compliance by documenting cloud infrastructure directly from the codebase. Companies like Jefferson Health pay us to automate their infrastructure compliance and save 5h a week per infrastructure engineer.\r\n\r\nMore simply put: We generate infrastructure diagrams directly from Terraform state.",
    "one_liner": "Automated infrastructure compliance and documentation",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1657804203,
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      "DevSecOps",
      "SaaS"
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    "batch": "Summer 2022",
    "status": "Active",
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      "United States of America",
      "Europe",
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/pluralith",
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    "year_founded": 2022,
    "city": "Vienna",
    "country": "AT",
    "linkedin_url": "https://www.linkedin.com/company/pluralith",
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    "github_url": "https://github.com/Pluralith",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 690046,
        "full_name": "Daniel Putzer",
        "title": "Founder",
        "founder_bio": "dev",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/danielputzer/",
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      {
        "user_id": 1012880,
        "full_name": "Philipp Weber",
        "title": "Founder",
        "founder_bio": "Building Pluralith",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/philipp-weber-a8517b231/",
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      {
        "id": 65103,
        "title": "Pluralith - Automated Terraform Infrastructure Visualization & Documentation",
        "tagline": "Never spend a second drawing infra diagrams again. Completely automate your infra docs and compliance materials.",
        "body": "Hi we are Dan and Phi…\n\n![uploaded image](/media/?type=post&id=65103&key=user_uploads/690046/00d3f03c-7be2-4245-be6a-b1ac5931d882)\n\n… and we are building Pluralith!\n\n![uploaded image](/media/?type=post&id=65103&key=user_uploads/690046/f7d9a731-4769-423f-9dfd-7bdf920137e6)\n\n### **TL;DR**\n\nTitle says it all. Pluralith lets you generate instant infrastructure diagrams from your Terraform codebase, locally (for development) and in CI (for documentation). [**Try it out here!**](https://docs.pluralith.com)\n\n![uploaded image](/media/?type=post&id=65103&key=user_uploads/690046/9884a243-92d0-46ea-92f7-7dcd0cedb91c)\n\n### **Watching > Reading**\n\nSo here’s a [freshly baked demo](https://youtu.be/Jbbil9kA-EE) just for you!\n\n![uploaded image](/media/?type=post&id=65103&key=user_uploads/690046/42257960-a912-40f1-acb6-f089d4da1153)\n\n### **The Problem(s)**\n\n**Problem 1**: Infrastructure documentation is super important and often even required for proper compliance, but can be really time intensive and nobody wants to do it. So you’ve got two options:\n\n→ Stay compliant and have good docs **BUT** loads of dev hours spent on them\n\n→ No/few dev hours spent on docs **BUT** break compliance and no docs when you need them\n\n**Problem 2**: Terraform is awesome, but can become quite messy and intransparent at scale. Understanding what is actually going on requires digging through loads of code and terminal output. Again, lots of dev hours lost here.\n\n![uploaded image](/media/?type=post&id=65103&key=user_uploads/690046/1fc7af56-e700-4227-bcb9-0fc872b49446)\n\n### **The Solution: Enter Pluralith**\n\n**_Pluralith completely automates problem 1 away._**\n\nRun it in CI, automate parts of your compliance process and always have up-to-date infra diagrams whenever you need them. We throw them into PR comments and have a dedicated markdown integration so you can plug it straight into your existing docs (ReadMes, Confluence etc.). We do change highlighting, drift detection, cost calculations and compliance checks (coming soon) and keep a history of all this stuff in your Dashboard for you so you have a perfect record on how your infra changes over time.\n\n**_Pluralith alleviates problem 2._**\n\nReplace miles of terminal output on a terraform plan with a comprehensive diagram that shows you what your infrastructure looks like, how it’ll change on apply, how much it’ll cost and wether it breaks compliance (coming soon). All you have to do is run `pluralith plan` instead.\n\n![uploaded image](/media/?type=post&id=65103&key=user_uploads/690046/079e25e0-225e-443b-b052-3eaab564aa50)\n\n### **How It Works**\n\n**Locally**: Download our desktop app and follow it’s setup guide. In a minute you should be able to run `pluralith plan` in any of your Terraform project directories and get a diagram instantly.\n\n**In CI**: The illustration below says it all. Set up Terraform in your pipeline, run Pluralith and there you go. Right now we have dedicated integrations for _GitHub Actions_ and _Gitlab CI._ (Many more to come)\n\n![uploaded image](/media/?type=post&id=65103&key=user_uploads/690046/42ca4f68-1bff-48c5-a0c0-e9b1c3786746)\n\n![uploaded image](/media/?type=post&id=65103&key=user_uploads/690046/0f6a5cbc-52d6-4a6c-bfdf-bb4672190d94)\n\n### **Help Us Out?**\n\n→ [**Give it a run**](https://docs.pluralith.com) (either in CI or locally) and let us know all the ways our stuff broke through the emails below!\n\n→ Our open source CLI is looking for some stars. [**Give it a star!**](https://github.com/Pluralith/pluralith-cli)\n\n→ If you are a DevOps professional → [**Pick any slot on here!**](https://calendly.com/dantheputzer/meet) We’d be stoked to chat about the infra landscape!\n\nIf there are any questions or anything else we can assist with, shoot us an email at [dan@pluralith.com](mailto:dan@pluralith.com) or [phi@pluralith.com](mailto:phi@pluralith.com)!\n\nCheers,\n\nDan and Phi\n\n![uploaded image](/media/?type=post&id=65103&key=user_uploads/690046/952c66c1-40c8-41b8-a31c-50dbbacb5c7b)\n\n",
        "url": "https://www.ycombinator.com/launches/Gw3-pluralith-automated-terraform-infrastructure-visualization-documentation",
        "votes": 48,
        "created_at": "2022-08-03T16:42:45.345Z"
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    "id": 26902,
    "name": "Maya Labs",
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    "website": "https://mayalabs.io",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Applied research lab on a mission to build machines which can program themselves to do any task.",
    "one_liner": "Building self-programming machines",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1657029012,
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    "stage": "Early",
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    "year_founded": 2020,
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    "country": "IN",
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        "full_name": "Sibesh Kar",
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        "linkedin_url": "https://www.linkedin.com/in/sibeshkar/",
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      {
        "user_id": 276514,
        "full_name": "Shubham Mishra",
        "title": "Founder",
        "founder_bio": "Reliability, Server infrastructure, networking, distributed systems and everything else at Maya Labs. \nEx Ford Mobility India (Infra and Product). Ex Hyperloop India University Team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shbhmshr/",
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    "news": [
      {
        "title": "7 AI startups that stood out in YC's Summer '22 batch",
        "url": "https://techcrunch.com/2022/09/08/7-ai-startups-that-stood-out-in-ycs-summer-22-batch/?tpcc=tcplustwitter",
        "date": "Sep 08, 2022"
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    "launches": [
      {
        "id": 65194,
        "title": "🛠️ 🧠 Maya Labs : Build custom software in minutes, using natural language",
        "tagline": "We're building a new way to program a machine using just natural language - starting off with a fast way to build internal tools by describing them in English.",
        "body": "Hi, we are Sibesh and Shubham, founders of Maya Labs. We are on a mission to teach machines how to code - starting off with a fast way to build internal tools in minutes using just natural language. Here’s an early look :\n\n![uploaded image](/media/?type=post&id=65194&key=user_uploads/272578/a3e654bf-56a0-48e4-abeb-8922bc23b8b0)\n\nA longer 5-min demo [here](https://www.youtube.com/watch?v=NPm0idKktzs) :\n\nToday, you can build one particular type of custom app well using Maya that let's you :\n\n1. **Fetch custom data** : Configure setup + query custom data from an external source (currently we do SQL, Gsheets, Notion, Airtable etc, but are expanding fast)\n2. **Visualize it** : Plot and visualize it in a custom table, line chart or bar graph\n3. **Perform actions** : Select and act on a particular data item (send a custom email, upload a file, trigger an API, update a DB item)\n\nMaya incrementally generates programs & shows results in response to steps you type in English, so the whole experience doesn’t feel like debugging someone else’s code. It’s possible to modify, delete & debug the natural language parts and Maya responds instantly - which makes it possible to hold and move around the _natural language program_ in your head. Checkout an early version of the docs [here](https://mayalabs.io/docs). We intend to keep it just one page long.\n\nThere’s still a lot to figure out and we’re trying to nail the experience for this one narrow use case first. When this works, we’ll try to extend it to just about any task you can think of - web navigation, connecting APIs, platform robots, RPA, home automation. Here’s a [show reel](https://mayalabs.io/library) of what else you can build manually with Maya today.\n\n**Who is this for?**\n\nMost internal tool builders are used by developers to build software for others on the product/ops/growth/sales/data teams, but we think this is a way for the user of the tool to also be the creator.\n\n**How does this work?**\n\nWe use a combination of conditional logic, neural search/classification, fine-tuned language models and template generation to make this work **predictably** and **reliably** in response to words you type/modify. We generate programs in a custom flow-based programming language that lets us express a wide range of behaviours with a smaller program length and visual DAGs. We also created our own benchmark to measure how well machines are at generating code (see our paper on this [here](https://blogs.mayalabs.io/benchmark)).\n\n**About us** :\n\nWe met in college many years back while starting Hyperloop India, the first Indian team at the SpaceX Hyperloop Competition - and have worked on-and-off on various projects since, sharing a common interest for hard engineering problems. Program synthesis is the hardest of them all - if software is eating the world, and you could build software that could build other software, why work on anything else?\n\nWe’ve been tinkering on this for years. Many Python libraries, papers, toy environments and product iterations later, we think we finally have an angle of attack that has a chance of working.\n\n**Ask** :\n\n1. Help us test our system! If you’d like to play around with or think someone in your team might benefit - send me a mail at sibesh\\[at\\]mayalabs\\[dot\\]io.\n2. Improve Maya with useful data - Let me know if you think a particular kind of program pattern we could teach Maya would be useful for you and a wide variety of other similar users.\n3. Introduce us to product/ops/growth/sales/data teams in your org who would like to build custom internal tools themselves without engineering effort\n4. Hit me up to learn more about our approach! Program synthesis, robot-run economies, programs that build other programs (including the YCombinator function haha)",
        "url": "https://www.ycombinator.com/launches/GxW-maya-labs-build-custom-software-in-minutes-using-natural-language",
        "votes": 53,
        "created_at": "2022-08-08T10:17:18.639Z"
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    "name": "Rima AI (formerly Garage)",
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    "website": "https://www.getrima.ai",
    "all_locations": "Austin, TX, USA; Remote",
    "long_description": "Rima helps accountants automate document and spreadsheet work with accuracy and cell-level audit tracking.\r\n\r\nFor accountants that deal with messy docs and spend their time in Excel, Rima enables them to build workflows in natural language to extract and process financial data from PDFs or ERPs into their Excel templates and reconcile their spreadsheets in minutes. Accountants build these workflows once and our agents do the work for them going forward, preserving their institutional memory and know-how.",
    "one_liner": "Document and spreadsheet automation for accountants",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1657049263,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/rima-ai",
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    "year_founded": 2021,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rimaai/",
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        "full_name": "Gwanygha’a Gana",
        "title": "Founder",
        "founder_bio": "Gana in an ex-founder with experience building and investing in companies in the US and Africa. He holds a BS in Electrical Engineering and an MS in Data Science from Georgia Tech, and an MBA from Harvard Business School. He is a casual bartender.",
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        "linkedin_url": "https://www.linkedin.com/in/ggana/",
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      {
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        "full_name": "Cedric Foudjet",
        "title": "Founder",
        "founder_bio": "Cedric is an ex-founder and Venture Capitalist with experience building and investing in companies in Africa and South East Asia. Cedric is also a self-taught cloud computing  engineer with experience helping major fortune 500 companies execute digital transformations and build a new cloud native applications. On his free time he geeks over crypto and watches shows like Billions and Succession. Cedric holds a Bachelors of Science degree from Concordia College and an MBA from Wharton.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cedric-foudjet-0470064b/",
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      {
        "id": 101608,
        "title": "Rima: AI agents for document work accountants hate",
        "tagline": "Rima interviews accountants, captures their edge cases, and automates the manual work",
        "body": "Hey everyone👋🏽,\n\nIt’s [Gana](https://www.linkedin.com/in/ggana/) &amp; [Cedric](https://www.linkedin.com/in/cedric-foudjet-0470064b/) from [Rima ](https://www.getrima.ai/)\n\n**TL;DR** \n\nOver 50% of accountants still receive client documents as email attachments, scans, and paper. They spend hours on formatting, data entry, and Excel wrangling before anything ever touches the ERP. Rima interviews these accountants, understands their edge cases and builds custom document workflows to automate this manual work. \n\n**ASK**: If you know accounting teams struggling with manual document workflows we’d love to speak with them - [founders@getrima.ai](mailto:founders@getrima.ai) \n\n**Launch Video** \n\n<https://youtu.be/e7PJRoFzmjE> \n\n**_Problem_**\n\nWhen my mom's small business almost went bankrupt, it wasn't saved by software. It was saved by an accountant who used their brain to rescue the company. But today, these brilliant minds are stuck doing boring, repetitive work.\n\nOver 50% of accountants still get client files as emails, scans, and paper. They waste hours on data entry and broken spreadsheets. Generic AI only gets 55% of the way there because it was never trained on your client's edge cases. That's why accountants say AI is dumb. It's not. It just doesn't have their context yet. \n\nWe don't try to out-Claude Claude. We built Rima to solve the last mile: the library of edge cases (customer context) AI was never trained on so accountants can finally unlock its real value\n\n**_Our Solution_**\n\nRima **interviews accountants** until it understands exactly how they want things done and **captures their unique edge cases**. Then, it builds a custom workflow to handle that task. \\\n\\\nWe leverage what LLMs are good at - coding - and pair it with the **proprietary library of edge cases** that Rima collects across each client to build agentic workflows that are personalized and up to 99.7% accurate. \n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/58582253-59ef-4bdd-b37e-7810d8c86ca5)\n\n\\\nRima learns from each client workflow and grows the library of edge cases over time. The end result is customers feel like Rima gets better and easier to use after every workflow. \n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/eb9702ef-30bc-4604-ab86-033924c5b9f9)\n\n\\\nToday, accountants use Rima to automate workflows such as cleanups and catchups, bank and CC recon and data entry for tax workpapers among others. \n\nRima is best for accounting teams that still receive documents such as invoices, POs, statements and contracts via email attachments, scans or paper\n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/2d51ab0c-e331-4e20-926e-0c10dd86352f)\n\n\n**_Our team_**\n\nWe worked closely with over 4000 small businesses while building a wholesale distribution business and our accounting back-office was a mess. We know how messy the data from SMB operations can be and understand the manual work their accountants go through to help these businesses thrive. \n\nToday accounting firms and in-house accounting teams are automating manual document workflows on Rima. \n\n**_Where we are headed_**\n\nWe’re on a mission to build the deepest edge case library, powering automations everywhere for SMB accounting teams. \n\n**_Our ASK - How you can help us_** 📌\n\n→ If you know in-house accounting teams struggling with manual document workflows we’d love to speak with them\n\nlearn more @ [www.getrima.ai](http://www.getrima.ai)",
        "url": "https://www.ycombinator.com/launches/QQq-rima-ai-agents-for-document-work-accountants-hate",
        "votes": 13,
        "created_at": "2026-05-20T01:26:05.918Z"
      },
      {
        "id": 64499,
        "title": "Garage: Wholesale auto parts marketplace for Africa's 2M+ retailers",
        "tagline": "We're connecting the worlds largest parts distributors and manufacturers to retailers in Africa",
        "body": "Hello YC Family\n\nThis is Gana and Cedric, Co-founders at [Garage](https://www.garagemobility.com/).\n\n**At Garage, we are building the wholesale marketplace for auto parts in Africa**\n\n**Backstory**\n\nCedric and I are ex-founders with experience building, scaling and investing in startups in Africa. I used to buy and ship auto parts to my dad in Cameroon and realized that the landing cost once those parts arrived in Cameroon was still cheaper than buying locally. We realized that this issue was due to inefficiencies across the supply chain for parts distribution. Garage aims to solve this problem by building a wholesale marketplace that will power the $25B after sales market in Africa.\n\n**The Problem**\n\nOver $25B in auto parts sales in Africa occur at neighborhood retail shops. These retail shop owners are the backbone of the aftersales market yet they struggle to survive because\n\n* They have no visibility into which suppliers have which parts\n* Multiple layers of middle men and low buying power lead to inflated and volatile pricing\n* They don’t have enough working capital to grow their businesses\n\n**The Solution**\n\nGarage is a wholesale auto parts distributor for Africa, supporting these retailers. We aggregate parts from the largest suppliers in the world and deliver directly to retailers. We are building the largest auto tech platform to reduce the cost of car ownership in Africa by making auto parts more affordable and accessible.",
        "url": "https://www.ycombinator.com/launches/GmJ-garage-wholesale-auto-parts-marketplace-for-africa-s-2m-retailers",
        "votes": 18,
        "created_at": "2022-07-11T10:36:53.292Z"
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    "id": 26913,
    "name": "Aurelian",
    "slug": "aurelian",
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    "website": "https://www.aurelian.com/",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Aurelian builds AI tools that help 911 centers handle more with less, so telecommunicators can stay focused on what matters most and communities get the response they need.\r\n\r\nAVA is a conversational AI agent that answers non-emergency calls; the agent routes, triages, and resolves the calls without any human intervention. By handling administrative calls like noise complaints, lost dogs, and parking inquiries, AVA eliminates hold times and lets call-takers focus their energy on actual emergencies.\r\n\r\nCORA supports call-takers on the calls that matter most. CORA is an on-screen assistant that delivers real-time SOP checklists, smart reminders, and contextual guidance as an emergency call unfolds, so dispatchers stay calm, consistent, and confident when every second counts. When AVA detects an emergency mid-call, it transfers the caller to a telecommunicator and passes along the caller details, location, incident type, and key statements directly into CORA. The call-taker never starts from scratch.\r\n\r\nThe problem we're solving is serious. The average emergency communications center is 30% understaffed nationwide. Staffing shortages drive burnout and attrition, which makes the shortage worse. Meanwhile, 60-80% of the calls coming in aren't even emergencies at all. Aurelian addresses both sides of that equation: AVA reduces unnecessary call volume, and CORA makes every emergency call more manageable for the people handling it.\r\n\r\n\r\nAurelian is live in centers across the country, answering thousands of non-emergency calls every day, and is backed by New Enterprise Associates and Y Combinator. Aurelian is growing rapidly; we are hiring people who want to help scale this work and make a real difference in public safety infrastructure for communities across the country.",
    "one_liner": "Automating non-emergency calls for 911 centers",
    "team_size": 45,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1658420852,
    "tags": [
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      "GovTech",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Growth",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/aurelian",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/aurelian.json",
    "year_founded": 2022,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aureliansystem",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
      {
        "user_id": 670635,
        "full_name": "Max Keenan",
        "title": "Founder",
        "founder_bio": "CEO @ Aurelian",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/max-keenan-4a577a137/",
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      },
      {
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        "full_name": "James Liu",
        "title": "Founder",
        "founder_bio": "Founder and CTO @ Aurelian",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jamesliu08/",
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    "jobs": [
      {
        "id": 91487,
        "title": "Founding Product Manager",
        "url": "https://www.ycombinator.com/companies/aurelian/jobs/Hzna1vE-founding-product-manager",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
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      {
        "id": 93202,
        "title": "Product Engineer (Senior to Staff Level)",
        "url": "https://www.ycombinator.com/companies/aurelian/jobs/pNc7D9L-product-engineer-senior-to-staff-level",
        "location": "Seattle",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 95046,
        "title": "Tech Lead / Engineering Manager",
        "url": "https://www.ycombinator.com/companies/aurelian/jobs/eQQYFEq-tech-lead-engineering-manager",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $240K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 96226,
        "title": "Strategy",
        "url": "https://www.ycombinator.com/companies/aurelian/jobs/ybyOFmX-strategy",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117495,
        "title": "Software Engineer (New Grad)",
        "url": "https://www.ycombinator.com/companies/aurelian/jobs/yGDonoZ-software-engineer-new-grad",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $130K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 117496,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/aurelian/jobs/iyUFNiC-forward-deployed-engineer",
        "location": "Seattle, WA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
      },
      {
        "id": 117497,
        "title": "Recruiter",
        "url": "https://www.ycombinator.com/companies/aurelian/jobs/W17doYK-recruiter",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$75K - $115K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "911 centers are so understaffed, they're turning to AI to answer calls | TechCrunch",
        "url": "https://techcrunch.com/2025/08/27/911-centers-are-so-understaffed-theyre-turning-to-ai-to-answer-calls/",
        "date": "Aug 28, 2025"
      },
      {
        "title": "Kalamazoo Co. dispatch uses AI to aide in calls, improve efficiency | wzzm13.com",
        "url": "https://www.wzzm13.com/article/news/community/kalamazoo-co-dispatch-uses-ai-aide-in-calls/69-51b104e7-46fa-4654-8b4a-073166d0e312",
        "date": "Dec 19, 2024"
      },
      {
        "title": "New AI system at MACC has successful first few months | Columbia Basin Herald",
        "url": "https://columbiabasinherald.com/news/2024/oct/16/new-ai-system-at-macc-has-successful-first-few-months/",
        "date": "Oct 15, 2024"
      },
      {
        "title": "Grant County Introduces AI System for Non-Emergency Calls | Columbia Basin | yoursourceone.com",
        "url": "https://www.yoursourceone.com/columbia_basin/grant-county-introduces-ai-system-for-non-emergency-calls/article_962f8f9e-1952-11ef-b773-a3b8da60699d.html",
        "date": "May 22, 2024"
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    "id": 27038,
    "name": "Fini",
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    "website": "https://www.usefini.com",
    "all_locations": "Amsterdam, NH, Netherlands",
    "long_description": "Fini builds AI agents that autonomously resolve up to 80% of customer support tickets for enterprises specially in Fintech, E-commerce, Gaming and Fitness tech.\r\n\r\nOur agents understand complex workflows, take real actions (like refunds or KYC checks), and improve in real-time. Built on a proprietary knowledge engine, our agents deliver 98%+ accuracy and integrate deeply with tools like Zendesk, Salesforce, and internal APIs.\r\n\r\nEnterprises like Bitdefender and Training Peaks use Fini to slash support costs by 50% while boosting CSAT by 10%.",
    "one_liner": "Fini | Automate 80% of enterprise support with AI agents",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1656434795,
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    "regions": [
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    "year_founded": 2022,
    "city": "Amsterdam",
    "country": "NL",
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        "full_name": "Deepak Singla",
        "title": "Founder",
        "founder_bio": "Deepak Singla is the co-founder of Fini. Deepak leads Fini’s product strategy, and the mission to automate customer interactions for tech companies around the world. Originally from India, Deepak graduated from IIT Delhi where he received a Bachelor degree in Mechanical Engineering, and a minor degree in Business Management ",
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        "linkedin_url": "http://linkedin.com/in/deepak-singla-68345667/",
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      {
        "user_id": 996529,
        "full_name": "Hakim K",
        "title": "Founder",
        "founder_bio": "Hakim is leading tech at Fini. Hakim has a background in software engineering and analytics across 4+ organizations and 10+ years of experience. Most recently at Uber, Hakim met Deepak. Originally from Sweden, Hakim graduated from École Polytechnique with a master's degree in Engineering Mathematics.",
        "is_active": true,
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      {
        "id": 123337,
        "title": "Scout by Fini: An AI teammate for your support team",
        "tagline": "Turn customer conversations into insights, knowledge updates and bug reports, from Slack.",
        "body": "![uploaded image](/media/?type=post&id=123337&key=user_uploads/1010279/d5b943fa-4982-44a2-95a5-41a6821f5a48)\n\nHey everyone, Deepak here, co-founder of Fini (S22). We just launched **Scout, an AI teammate that turns customer conversations into better support knowledge, bug reports and insights.**\n\nAt Fini, we build AI agents that answer customer questions. But answering a ticket doesn’t fix the outdated help article or product issue that caused it. Someone still has to investigate, gather evidence and make the fix. That’s the work we built Scout to take on.\n\n**Scout lives in Slack and works across your support tickets, customer reviews and threads.** You can ask it:\n\n* “Why did CSAT drop last month, and has it recovered?”\n* “What are customers asking that our help center doesn’t cover?”\n* “Which product issues keep coming up, and who’s affected?”\n\nIt investigates and brings back answers with evidence and customers’ own words. It can then draft a knowledge update or file a Jira/Linear bug with the findings attached. Your team approves every change.\n\nIt also runs recurring reviews, so the work keeps moving without someone remembering to ask. Teach it a rule like “Always exclude our test tickets” and it remembers for future work.\n\n**What customers are seeing:**\n\nAt TrainingPeaks, weekly knowledge upkeep went from 6 hours to 1. At Snapdocs, the share of customer questions covered by approved knowledge grew from 44% to 72% in 11 weeks.\n\nScout works with your existing support stack. You don’t need to use Fini’s customer-facing agent.\n\n**We’d love feedback from YC founders and support teams.** Reply here or DM me and we’ll help you get set up.\n\n<https://www.usefini.com/scout?utm_source=bookface&amp;utm_medium=community&amp;utm_campaign=scout_launch>\n\nWhat’s one thing buried in your customer conversations that you wish your team had time to investigate?",
        "url": "https://www.ycombinator.com/launches/W5J-scout-by-fini-an-ai-teammate-for-your-support-team",
        "votes": 3,
        "created_at": "2026-10-19T16:29:07.812Z"
      },
      {
        "id": 96968,
        "title": "Fini: Accuracy-first AI for high-stakes support",
        "tagline": "AI customer support with 100% compliance and 0% hallucinations",
        "body": "Hey everyone! 👋\n\nWe’re Deepak and Hakim. Before founding Fini (YC W22), we led product and growth teams at Uber, operating at the scale of 200 million+ support tickets every year. We founded Fini believing that AI support can (and should!) be held to a higher standard than human support.\n\n**TL;DR** If you run support for a bank, fintech, insurance company, or any regulated industry, chances are you’ve tried your hand at generic AI support chatbots and realized they’re not a fit. A single hallucinated response can lead to lawsuits and PR disasters, destroying customer trust you’ve worked hard to build over decades. Fini AI was built specifically for these high-stakes environments, resolving 80% of support queries with full compliance and zero hallucinations.\n\n![uploaded image](/media/?type=post&id=96968&key=user_uploads/1010279/fe000980-ba95-4470-9469-32c24fb5516a)\n\n\n### **Support in regulated industries is broken**\n\nCompanies in finance, insurance, and healthcare face a brutal trade-off:\n\n* **Scale support with humans:** Expensive, hard to hire, and training takes months.\n* **Scale it with generic AI:** High risk of hallucinations, compliance breaches, and protocol violations.\n\nIn regulated spaces, hallucinations or protocol violations aren’t just isolated bad user experiences; it’s a potential regulatory fine. A class-action lawsuit. A PR disaster waiting to happen. Because of this, most teams are forced to stick with slow, expensive manual support, leaving customers waiting even for straightforward queries.\n\n### **The (accuracy) problem**\n\nIf you lead a support team in a regulated industry, you can't just let an LLM loose on your knowledge base.\n\n* Generic models prioritize \"fluency\" over \"factuality.\"\n* They often make up policies or promise refunds that don't exist.\n* Audit trails are often non-existent or hard to parse.\n\nYou end up blind to what the AI is actually saying until it’s too late. This risk forces many companies to pull back on AI support entirely, leading to burnt-out agents and frustrated customers.\n\n### **Fini solves this**\n\nWe built Fini to be accuracy-first. We monitor every interaction to ensure compliance and use specialized AI agents that don’t just \"chat\" — they solve.\n\n* **98% Accuracy:** We hold our AI to even higher standards than human agents.\n* **Human-in-the-Loop:** We seamlessly loop in human experts for edge cases.\n* **Self-learning:** The AI learns from your best people whenever they intervene to solve a new problem.\n* **Proven Scale:** We already resolve over 1 million tickets monthly for customers like the US Chamber of Commerce Foundation, Atlas, Found, and Bitdefender.\n\n### **Our Asks**\n\n* **Do you lead Support or CX** in a regulated industry (Fintech, Insurtech, Health) and want to automate tickets without the risk? **Let’s chat.**\n* **Know a great operator?** We’re hiring a Head of Growth, Product Marketing Lead, and an AI Product Manager. Please introduce them to us!",
        "url": "https://www.ycombinator.com/launches/PE0-fini-accuracy-first-ai-for-high-stakes-support",
        "votes": 6,
        "created_at": "2026-01-20T18:12:08.355Z"
      },
      {
        "id": 64064,
        "title": "Fini - ⚡️ Lightning ⚡️ quick Customer Contact Resolution",
        "tagline": "Fini helps companies collect, categorize and resolve customer issues using AI ",
        "body": "**Fini helps companies collect, categorize and resolve customer interactions.**\n\nHey all! We’re Deepak & Hakim, and we have worked on AI systems for customer interaction at companies like Uber, Accenture, and PwC.\n\nWe’ve seen **companies in multiple sectors lose millions of dollars** trying to solve various customer interactions manually through agents - spanning from healthcare claims for insurance companies to millions of customer inbound tickets for B2C enterprises.\n\nAt Fini we categorise and resolve all your customer inbounds in real-time across 50+ languages, and integrates with your CRM systems in less than a week.\n\n**Problem:**\n\nWhen a company tries to scale its operations, it often runs into the following roadblocks in terms of handling customer contact:\n\n1. Customer requests come from multiple channels (emails, CRM, typeform, chatbots, in-app)\n2. These requests are currently solved manually by agents. Actioning this feedback at scale is slow and expensive.\n3. Customer insights are not generated in real time\n\n**How can Fini help me?** \n\nWe can help you to:\n\n* **Integrate channels into one overview:** Collecting requests from across your systems.\n* **Product driven resolution:** Our software redirects customers to self-serve product integrations to solve their issues without any human touch.\n* **Get real-time product insights:** Dashboards tailored to your use-case precisely illuminating customer pain points.\n\n**Want us to help you?** Email [hello@usefini.com](https://mailto:hello@usefini.com) to get set up within a week!",
        "url": "https://www.ycombinator.com/launches/GfI-fini-lightning-quick-customer-contact-resolution",
        "votes": 34,
        "created_at": "2022-06-25T00:31:19.513Z"
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    "id": 27039,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Born out of 9-figure litigation, Cobbery AI agents are staffed on every matter to give your litigation teams superpowers",
    "one_liner": "For winning matters, when winning matters",
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    "industry": "B2B",
    "subindustry": "B2B -> Legal",
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        "full_name": "Dan Goodman",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-goodman-7a813214a/",
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      {
        "user_id": 563474,
        "full_name": "Alex Pickett",
        "title": "Founder",
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        "tagline": "Tangia enables viewers to buy interactions that affect the game being streamed in real time. For example, a viewer pays $15 to spawn a boss enemy and it instantly appears in the streamer’s minecraft world.",
        "body": "**What We Do**\n\nTangia enables streamers to sell real-time interactions to their viewers, boosting engagement, and recognizing real revenue without compromising on content quality. \n\n**What Problems are we Solving**\n\n* Ads don’t pay enough and most streamers can’t get sponsors\n* Streamers lose 28% to 65% of their revenue to the platform they stream on\n* Creator tools are complex and require multiple products to achieve simple outcomes\n\nTangia allows streamers to earn 200x more per stream over ads as viewers deeply enjoy being a part of the stream. Interactions sales allow creators to take agency over their revenue and connect with their community in an entertaining and engaging way. We enable creators to do this all at a lower rate than existing platforms. \\\n\\\nTangia prioritizes the user experience and simplicity. Having a low friction process to allow viewers to purchase interactions is core to Tangia's design and platform flow. Tangia also consolidates the best features of existing tools on top of the interactions giving the streamers the best of all worlds!\n\n**Want to Get Involved?** \n\nGreat! We would love to have you!\n\n_Investors_\n\nPlease shoot us an email → [**founders@ultimatetournament.io**](mailto:founders@ultimatetournament.io)\n\n_Game Developers / Content Creators / Other Inquiries_\n\nPlease shoot us an email → [**support@ultimatetournament.io**](mailto:support@ultimatetournament.io)\n\n**Check us out at** → <https://tangia.co>",
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        "body": "![uploaded image](/media/?type=post&id=65887&key=user_uploads/696649/b51bcf0a-5353-4db3-b9c4-8836f2ea423a)\n\n**TL;DR Grai makes developers smarter by bringing metadata from across their stack into their development tools. We make testing data flows between applications painless.**\n\nGo to 👉 [grai.io](http://grai.io)\n\n### 😭 **Problem**\n\nTracking (let alone testing) data once it leaves a production environment is challenging. Whether in a data engineers transformation pipeline, an ML model, or the CFO’s metrics dashboard, that data _will_ be used elsewhere. Without visibility on those use cases data changes remain risky and outage prone.\n\n### 🚀 **Solution**\n\nGrai is an open-source data management platform designed to help you better use your data.\n\n* **Automated data lineage** - Pre-built connectors to keep metadata fresh.\n* **Integrated with git** - Changing a column in your DB? Run data integration tests for all downstream users as part of your standard CI/CD process.\n* **One-stop-shop** - A unified model of your entire data stack.\n* **Your data belongs to you** - Grai is open-source & self-hosted with a cloud option coming soon.\n\n### 🎉 **Closing thoughts (and asks!)**\n\nMy ask: give it a shot!\n\n* Browse the [code](https://github.com/grai-io/grai-core)\n* Check out the [demo](https://github.com/grai-io/grai-core/tree/master/examples/quick_start_postgres)\n* Reach out! [ian@grai.io](mailto:ian@grai.io)\n\n\\~ Ian\n\n![uploaded image](/media/?type=post&id=65887&key=user_uploads/696649/7ecc72b3-40f5-4473-ae0f-157159a139eb)\n\n",
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        "id": 75378,
        "title": "Umbria: Get designer-grade docs fast",
        "tagline": "Join us for a 24-hour YouTube livestream!",
        "body": "### 🖥️ The Product\n\nUmbria is the fastest way to launch designer grade docs!\n\n**Here’s how it works:**\n\n1. Drag and drop components\n2. Add your text\n3. Publish\n\nSee our own site & docs built with Umbria here: [Umbriadocs.com](http://Umbriadocs.com)\n\n### 🚀 The Pitch\n\nYou can get started for free — or contact Kyle for a special deal! ([kyle@umbriadocs.com](mailto:kyle@umbriadocs.com))\n\n### 👀 24 Hour Docs Livestream\n\nWe’re going to build docs for 24 hours straight on a YouTube stream next Wednesday (the 11th)!\n\nWhy? Becuase we can. Reach out for a shoutout, we’ll feature your docs!\n\n![uploaded image](/media/?type=post&id=75378&key=user_uploads/1018852/37abfcf5-e64c-4b6b-b81f-aa9e7a213169)\n\n",
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        "id": 66800,
        "title": "Artemis: Data Science Project Management",
        "tagline": "Document, track and visualize every aspect of your workflow in one place",
        "body": "**tl;dr** Artemis is the best platform to document, track, and visualize complex data science projects. We help teams log when and how they use resources (scripts, models, databases, etc.) to create the through yet compensable documentation for their projects.\n\n![uploaded image](/media/?type=post&id=66800&key=user_uploads/1018852/4e301d6d-975c-4497-8692-91a0834cdaba)\n\n**❌ The Problem:** Data science teams employ a variety of resources often spread across platforms. The way these resources interact in a project is often poorly documented. Documentation systems that do exist rely on direct peer-to-peer collaboration and produce results that are difficult to understand.\n\n**✅ The Solution:** Artemis is a platform for organizations to document and map every time a resource is used and how it works so projects can be understood at a glance.\n\n🏆 **Two Steps To Success:**\n\n**First,** Artemis teams create archives to document every time they use a resource. The Archive helps users document their resource’s location(s), relationships to other resources, and functions in addition to recording how they’re employed in a specific project. \n\n![uploaded image](/media/?type=post&id=66800&key=user_uploads/1018852/718ed567-d130-450d-a425-e25dfdf7c8ee)\n\n**Second**, resource deployments archived with Artemis are automagically mapped out to create interactive visual networks. These networks offer a comprehensive, one of a kind perspective that informs leadership decisions and helps individuals understand their work and their peers’ work in context.\n\n![uploaded image](/media/?type=post&id=66800&key=user_uploads/1018852/188a66ae-e107-4524-b084-54d62a18eec3)\n\n**▶️  Price and Contact**\n\nArtemis free to try for 30 days and free to academic institutions forever. Enterprise seats cost $20/month.\n\nIf you’d like to try Artemis or are interested to learn more, please reach out: [austinmccoy@artemisar.com](mailto:austinmccoy@artemisar.com)",
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        "title": "Artemis: Retool for desktop applications",
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        "body": "Hello, we’re [Austin](https://www.linkedin.com/in/austin-mccoy-833600229/), [Manvir](https://www.linkedin.com/in/manvir-singh-abb298247/) and [Kyle](https://www.linkedin.com/in/kyle-h-202515237/) — we founded [Artemis](https://artemisdevtool.com/). \n\n**_tl;dr_** _It takes too long to give desktop internal tools usable GUIs. Artemis fixes that._\n\n### **Problem:** \n\nArtemis was born in a Caltech robotics lab when our founder Austin realized too much time was spent giving internal tools usable GUIs. Building front-ends for internal tools written in programming languages like Python, C, C++ and Matlab is a tedious process that makes it slow and difficult to deploy even the simplest projects.\n\nExisting solutions aimed at solving this problem like Java’s Netbeans or Python’s QT only aid the user in designing how their interface will look, leaving the task of coding each element’s functionality. The complexity of these tools also present a high barrier to entry – especially for users who are just trying to make simple interfaces. These users don’t need all the bells and whistles of QT, they just need a simple solution they can learn and employ quickly.\n\n### **Artemis Solution:**\n\nArtemis’ drag and drop interface lets developers rapidly design front-ends comprised of elements that function out-of-box. This prepackaged functionality means integration is a breeze.\n\nHere’s how it works:\n\n1) Create your interface in our drag-and-drop webtool:\n\n![uploaded image](/media/?type=post&id=65058&key=user_uploads/1018852/93a29830-bbc4-4a98-a054-995f401064a4)\n\n2) Integrate into codebase with three steps (minimal overhead)\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=65058&key=user_uploads/982880/bf607bd0-7015-4777-b264-72c6128ada94)\n\n3) Launch your new interface (runs in browser to facilitate cross platform use, but still works offline) \n\n![uploaded image](/media/?type=post&id=65058&key=user_uploads/1018852/c497ce1e-e1f0-4d6b-ab4d-f25340a53401)\n\n### **Project history, use cases, and pricing:**\n\n**History:** We began life as an augmented reality development platform that functioned in almost the same manner. However after realizing how small that market is, we’ve pivoted to a broader one. That being said: we remain so cross platform you can even build frontends to be displayed in AR and VR.\n\n**Use Cases:** Artemis is a must-have for anybody who builds internal tools. \n\nSome examples include: Machine learning dashboards • GUIs for engineering tools • Control panels for machinery & IoT devices • GUIs for physicists’ models and calculators • And whatever else you can build!\n\n**Pricing:** $9 a month after 1 week free trial",
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        "votes": 21,
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        "linkedin_url": "https://www.linkedin.com/in/sandilya-sunny-bhagavathula-13780b47/",
        "x_url": "https://twitter.com/sunny_in_space",
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      {
        "user_id": 1004204,
        "full_name": "David Lawrence",
        "title": "Founder",
        "founder_bio": "Dave Lawrence studied Aerospace Engineering at Texas A&M and since then has helped design and operate satellite systems at several companies, including Boeing, Iridium, and OneWeb. He has led in-orbit commissioning and systems integration campaigns for communications and earth observations satellites. He'll bring this experience to Quindar to build a satellite operations platform that enables access to space!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-lawrence-58663691/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f1dce5b72f83d9ff9c068e616032bcf08e50923.jpg"
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      {
        "user_id": 1004233,
        "full_name": "Zach Meza",
        "title": "Founder",
        "founder_bio": "I am a software engineer with a B.S. in Computer Science from Stanford University with a concentration in Artificial Intelligence. Since graduating in 2016 I've worked on two satellite missions to develop the programs' mission operations software from the ground up; the software I've written to is still in use to operate the satellites and orchestrate the ground systems. At Quindar I serve as Head of Software alongside my five fellow cofounders, with whom I have worked for the last six years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zach-meza-25a832262/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/496f0180b0b044316bff00f7ead1f64625265df5.jpg"
      },
      {
        "user_id": 1004278,
        "full_name": "Shaishav Parekh",
        "title": "Founder",
        "founder_bio": "A software engineer with a B.S. in Computer Engineering from Virginia Tech, Shai has worked as a consultant for Red Hat and gained industry experience in Finance, Insurance, O&G and Retail industries. He helped design the OneWeb satellite operations software and went on the build the scheduling software for another Earth Observation satellite operator. Outside of work he enjoys playing tennis, watching F1 and hiking.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shaishavparekh",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f86cda1424a89db61bfd2f9b8528a51baeaa8f2.jpg"
      },
      {
        "user_id": 1003809,
        "full_name": "Matt Regan",
        "title": "Founder",
        "founder_bio": "I'm an aerospace engineer by study and a software engineer by trade. Since entering the workforce I've worked at a myriad of satellite and space missions from defense satellites to mega-consteallation for global internet. I am particularly excited about participating in the latest space revolution and working towards lowering the barrier of space for all interested parties. Outside of work, I'll usually spend time with friends, playing soccer, or watching any Michigan game. Go Blue!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/matthew-regan-a0a45238",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c716b4c3a4aaaad46ed0e5ad8a66ebc88b131469.jpg"
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    ],
    "jobs": [
      {
        "id": 75569,
        "title": "Ground Systems Integration Engineer",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/StWdN7T-ground-systems-integration-engineer",
        "location": "Irvine, CA, US / Arvada, CO, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$110K - $170K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/SeiWaR6-full-stack-engineer",
        "location": "Denver, CO, US / Irvine, CA, US / Remote (Denver, CO, US; Irvine, CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 97467,
        "title": "Senior Director of Business Development - US Government",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/MJ5TAxh-senior-director-of-business-development-us-government",
        "location": "Denver, CO / Los Angeles, CA / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $250K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 97470,
        "title": "Ground System Integration Engineer",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/gprSkiq-ground-system-integration-engineer",
        "location": "Denver, CO / Washington, DC / Los Angeles, CA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97471,
        "title": "Vice President of Programs & Operations",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/9PB4olW-vice-president-of-programs-operations",
        "location": "Denver, CO / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$240K - $275K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97473,
        "title": "Site Reliability Engineer (SRE)",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/G1Yzjr6-site-reliability-engineer-sre",
        "location": "Denver, CO / Washington, DC / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97474,
        "title": "Forward Deployed Product Engineer",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/OKuPkcq-forward-deployed-product-engineer",
        "location": "Denver, CO / Washington, DC / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$155K - $175K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97475,
        "title": "Mission Integration Engineer",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/G4AVxez-mission-integration-engineer",
        "location": "Denver, CO / Washington, DC / Los Angeles, CA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $180K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97476,
        "title": "DevSecOps - Site Reliability Engineer (SRE) / US Gov",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/G7kpyIZ-devsecops-site-reliability-engineer-sre-us-gov",
        "location": "Denver, CO / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97479,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/vSfqxjM-backend-engineer",
        "location": "Denver, CO / Seattle, WA / Washington, DC / San Francisco, CA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97480,
        "title": "Staff Engineer, Ground Systems",
        "url": "https://www.ycombinator.com/companies/quindar/jobs/9MAtAIA-staff-engineer-ground-systems",
        "location": "Denver, CO / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $210K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "Quindar raises $18 million to scale satellite operations software",
        "url": "https://spacenews.com/quindar-raises-18-million-to-scale-satellite-operations-software/",
        "date": "Nov 19, 2025"
      },
      {
        "title": "Booz Allen Ventures invests in space tech startup Quindar - SpaceNews",
        "url": "https://spacenews.com/booz-allen-ventures-invests-in-space-tech-startup-quindar/",
        "date": "Jul 11, 2024"
      },
      {
        "title": "These Are 2024’s Top 50 Vertical SaaS Startups - Bain Capital Ventures | Venture forth, courageously",
        "url": "https://baincapitalventures.com/insight/these-are-2024s-top-50-vertical-saas-startups/",
        "date": "Jun 11, 2024"
      },
      {
        "title": "Command and Control, with Nate Hamet (Quindar) - Payload",
        "url": "https://payloadspace.com/podcast/command-and-control-with-nate-hamet-quindar/",
        "date": "Mar 12, 2024"
      },
      {
        "title": "Quindar Raises $6M Seed Extension and Partners with KSAT - Payload",
        "url": "https://payloadspace.com/quindar-raises-6m-seed-extension-and-partners-with-ksat/",
        "date": "Jan 30, 2024"
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    "launches": [
      {
        "id": 64358,
        "title": "🛰 Quindar - Automated Satellite Operations",
        "tagline": "Satellite Mission Management as a Service",
        "body": "Hey everyone! **Today we’re launching** [**Quindar**](https://www.quindar.space/), **a web app used by satellite owners to track, contact, monitor and operate** **satellites from deployment into space until end-of-life.** For example, NASA could use Quindar to test and operate their satellites with minimal human intervention.\n\n![uploaded image](/media/?type=post&id=64358&key=user_uploads/1003779/68b30bb5-43ce-4cfc-87f5-ebfafd3e3cdc)\n\nWe’re six former [OneWeb](https://oneweb.net/) engineers who helped build the software that operates the second largest satellite constellation today – at 428 and counting. After OneWeb, we built another operations center for an earth imaging constellation but today we are building a unified platform for every satellite owner.\n\n### **The Satellite Industry Problem**\n\nCurrent satellite mission software solutions are a mix of COTS products that was built over 20 years ago.\n\n* ☁️  Not cloud native\n* 🛰  Created for a handful of satellites\n* 🔐  Outdated security\n* 💽  Rarely web native\n\nThere are 4,500 active satellites in orbit today however **1,700 will be launched** **each year** through 2030. The space industry is shifting from companies launching a handful of satellites over a decade, to launching hundreds of satellites in just a few years.\n\n**The traditional model of many engineers operating a few satellites doesn’t scale.**\n\n### **The Quindar Solution**\n\nQuindar provides satellite mission management as a service. Our platform:\n\n* Allows only a single engineer to operate hundreds of satellites.\n* Includes the software to track, contact, and monitor satellites. No installation required.\n* Integrates seamlessly with AWS and Atlas antennas (more to come).\n* Aggregates and analyzes satellite, antenna, and infrastructure anomalies.\n* Accessible from any phone or computer.\n* Built on AWS GovCloud with the latest FedRAMP and NIST security controls.\n\n### **Why the world needs Quindar**\n\nOur mission is to democratize space. To be the IT for what are essentially flying servers. Customers need to focus on their mission - image collection and resolution, docking to another spacecraft, landing on an asteroid, or broadband from space and let us manage the infrastructure and software utility that supports it.\n\n### **How you can help**\n\n**If you, your friends, or colleagues are trying to launch a satellite please reach out to us at** [**founders@quindar.space**](mailto:founders@quindar.space)**.** We’d love to save them the pain of building and managing a software team and all the gotcha’s that come with satellite ops! Friends don’t let friends build their own mission ops 🙅.\n\nEmail: [founders@quindar.space](mailto:founders@quindar.space)\n\nWebsite: <https://quindar.space/>\n\nAd Astra,\n\n[@Nate Hamet](https://www.linkedin.com/in/nathanhamet/), [@Matt Regan](https://linkedin.com/in/matthew-regan-a0a45238), [@David Lawrence](https://www.linkedin.com/in/david-lawrence-58663691/), [@Sunny Bhagavathula](https://www.linkedin.com/in/sandilya-sunny-bhagavathula-13780b47/), [@Shaishav Parekh](https://www.linkedin.com/in/shaishavparekh), Zach Meza",
        "url": "https://www.ycombinator.com/launches/Gk2-quindar-automated-satellite-operations",
        "votes": 21,
        "created_at": "2022-07-06T00:59:39.013Z"
      }
    ]
  },
  {
    "id": 27054,
    "name": "Ekho",
    "slug": "ekho",
    "former_names": [
      "Ekho",
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      "Airdealer",
      "Ekho Dealer"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba6801f432e8bfe7e4b8428c160da89816133ee9.png",
    "website": "https://www.ekho.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Ekho's end-to-end vehicle commerce platform powers compliant, digital sales of titled vehicles. Our platform handles checkout, financing, titling, registration, signature collection, and taxes—so dealers and OEMs can sell nationwide with a seamless, Tesla-like experience. Dealers use Ekho Dealer as a “dealership-in-a-box” to capture online sales and automate in-store deals without needing large back-office teams, while OEMs use Ekho Access and Omni to extend their reach and unify dealers across sales channels.",
    "one_liner": "Shopify for vehicles",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1677784119,
    "tags": [
      "Auto Commerce",
      "Fintech",
      "Compliance",
      "Automotive"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ekho",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/ekho.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ekho-dealer",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba6801f432e8bfe7e4b8428c160da89816133ee9.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 775955,
        "full_name": "Christopher Howard",
        "title": "Founder",
        "founder_bio": "Cofounder at Ekho Dealer. Previously ML at Meta. Stanford computer science bachelors and masters.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chris-g-howard/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/215707100d957b9b847d17616d485c338596cf64.jpg"
      },
      {
        "user_id": 772580,
        "full_name": "Rowan Mockler",
        "title": "Founder",
        "founder_bio": "Cofounder at Ekho Dealer. Previously product at Duolingo. Stanford computer science grad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rowan-mockler-198218128/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea056ef597e8dd2f59617ed3f56adb5d15144cbc.jpg"
      }
    ],
    "jobs": [
      {
        "id": 69955,
        "title": "Solutions Architect",
        "url": "https://www.ycombinator.com/companies/ekho/jobs/oCLZbVi-solutions-architect",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $190K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 73383,
        "title": "Full-stack Engineer",
        "url": "https://www.ycombinator.com/companies/ekho/jobs/CWY25sq-full-stack-engineer",
        "location": "New York City HQ",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Ekho Raises $17.3M from Activant, JPMorgan Payments, Winnebago Industries, YC",
        "url": "https://www.ekho.com/case-studies/ekho-raises-17-3m-from-activant-jpmorgan-payments-winnebago-and-yc",
        "date": "Jul 09, 2025"
      }
    ],
    "launches": [
      {
        "id": 69887,
        "title": "Ekho Dealer: Enabling manufacturers to sell their vehicles online",
        "tagline": "A licensed dealership that manufacturers can integrate into their own website.",
        "body": "**TL;DR We’re a licensed, full-stack distribution solution enabling OEMs to compliantly sell vehicles in the U.S. through their websites, instantly unlocking market coverage.**\n\nHi everyone, we’re [Rowan](https://www.linkedin.com/in/rowan-mockler-198218128/) and [Chris](https://www.linkedin.com/in/chris-g-howard/) - the team behind Ekho Dealer!\n\n![uploaded image](/media/?type=post&id=69887&key=user_uploads/772580/4558af4e-0b89-4496-93c6-51333867f0f9)\n\n# \n\n# **The problem ❌**\n\nIt's legally and logistically complex for vehicle manufacturers and distributors to sell their vehicles online:\n\n* **Franchise laws** mandate that new vehicle sales must be made through a licensed dealer\n* **Traditional dealers** lack online sales support and take 20-30%+ commission\n* **It is illegal** for manufacturers to sell vehicles directly to consumers in most states\n* **In states allowing direct sales**, it’s expensive and difficult to operate compliantly\n\n# **Our solution 🏁**\n\nEkho Dealer enables manufacturers to **compliantly sell their vehicles online** by making it **easy to integrate** our **licensed, full-stack distribution solution**  into their websites.\n\nWith Ekho Dealer enabled, vehicle buyers are able to select a vehicle on a manufacturer’s website and complete the entire purchase process online in minutes. This includes financing, insurance, titling, registering, and scheduling the delivery of their new vehicle (all without visiting a physical dealership).\n\n![uploaded image](/media/?type=post&id=69887&key=user_uploads/772580/5063ac06-f7d3-48a1-8087-1a47418caa42)\n\n# **How it works 🛠️**\n\nOn the backend, we take care of all the complicated regulatory requirements that come with selling vehicles online. This includes calculating and collecting sales tax, filing registration/titling forms and fees with the DMV, maintaining a portfolio of licenses, and complying with lending regulations when providing financing. On the front end, our website integrations leverage our infrastructure to compliantly process vehicle sales.\n\n# **Our backstory 🪞**\n\n* Rowan and Chris met at Stanford where they both studied computer science\n* They built a bunch of fun stuff together while in college\n* Rowan is from South Africa, is a world champion public speaker, and previously worked on the product team at Duolingo\n* Chris is from Atlanta, is a published researcher, and previously worked as a Machine Learning Engineer at Meta\n\n![uploaded image](/media/?type=post&id=69887&key=user_uploads/772580/355353b5-9c41-4e77-bd8d-cafabab91b78)\n\n# **Our ask 🙏**\n\n1. **If you know someone in vehicle manufacturing** (motorcycles, cars, RVs, trailers, ATVs, UTVs, LEVs, NEVs, golf carts, snowmobiles, etc.), ping us at [founders@ekhodealer.com](mailto:founders@ekhodealer.com) or direct them to our [inbound form](https://www.ekhodealer.com/#website-inbound) if you think they’ll find this interesting\n2. If you like what we are building, share and upvote!",
        "url": "https://www.ycombinator.com/launches/IBD-ekho-dealer-enabling-manufacturers-to-sell-their-vehicles-online",
        "votes": 214,
        "created_at": "2023-03-02T21:40:12.000Z"
      }
    ]
  },
  {
    "id": 27090,
    "name": "CompUp",
    "slug": "compup",
    "former_names": [
      "Hiresure.ai",
      "CompUp.io"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/418fe819ff51f7a93e3dfa5ef6d26990a3053c22.png",
    "website": "https://www.compup.io",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "With over 500M white-collared job offers rolled out annually, companies find it very difficult to be certain about what to offer. Companies rely on old compensation survey data, which are updated only once every year.\r\n\r\nThe salary expectations of candidates in the market change significantly on a quarterly basis (~7% statistically) in the startup ecosystem.\r\n\r\nThis results in more than 50% of qualified/selected candidates not joining the company due to expectation mismatch.\r\n\r\nCompUp is an API-driven compensation benchmarking tool. We integrate with your existing HR/payroll systems, removing the need for manual data entry, and also getting updated in real-time.\r\n\r\nCompUp provides the most accurate real-time compensation benchmarking data which helps you make the right offer to the candidate. The platform allows you to make better compensation decisions such as annual increments, candidate offers using internal and external data. \r\n\r\nThis has the following advantages :\r\n- All the process of compensation data submission is automatic and needs no manual intervention\r\n- Since the job market is dynamic in nature, the offers made on CompUp's real-time benchmarks would be the most efficient\r\n- The presentation of the offer to the candidate makes it look more appealing and explanatory to the candidate\r\n",
    "one_liner": "Building a compensation graph to help companies optimise people spend",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1656419987,
    "tags": [
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      "Human Resources",
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    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/getcompup/",
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        "user_id": 858890,
        "full_name": "Anurag Dixit",
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        "full_name": "Anshul Mishra",
        "title": "Founder",
        "founder_bio": "Having learned product and technology while creating value out it, has been my journey so far. \n\nInto my second stint as a founder, I am very passionate about developing scalable products and making things that is loved by its users.\n ",
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        "title": "HireSure.ai Bags Funding From Y Combinator To Help Companies Eliminate Pay Disparities",
        "url": "https://inc42.com/buzz/hiresure-ai-bags-funding-from-y-combinator-to-help-companies-eliminate-pay-disparities/",
        "date": "Feb 15, 2023"
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      {
        "id": 65208,
        "title": "🚀 Hiresure.ai is Pave for India to Benchmark Compensation",
        "tagline": "HireSure.ai provides the most accurate real-time compensation benchmarking data which helps you make the right offer to your candidates",
        "body": "Hi YC fam [👋.](https://emojipedia.org/waving-hand/) We’re [Anurag](https://bookface.ycombinator.com/user/858890), [Anshul](https://bookface.ycombinator.com/user/861181), and [Ramesh](https://bookface.ycombinator.com/user/861169) and we’re excited to launch [HireSure.ai](http://HireSure.ai)\n\n\\\n😎 **TLDR**: [HireSure.ai](http://HireSure.ai) is a tool that provides the most accurate and **real-time compensation benchmark data**. [HireSure.ai](http://HireSure.ai) allows companies to prepare and communicate their offer to the candidate while predicting the chances of offer decline.\n\n### **😡 The problem**\n\nWith over 500M white-collared job offers rolled out annually, companies find it very **difficult to be certain about what to offer**. Companies rely on old compensation survey data, which are updated only once every year.\n\nThe salary expectations of candidates in the market change significantly on a quarterly basis (**_\\~7% statistically_**) in the startup ecosystem.\n\nThis results in more than 50% of qualified/selected candidates not joining the company due to expectation mismatch.\n\n### [**🤩**](https://emojipedia.org/emoji/%F0%9F%A4%A9/) **The Solution**\n\n[HireSure.ai](http://HireSure.ai) is an API-driven compensation benchmarking tool. We integrate with your existing HR/payroll systems, removing the need for manual data entry, and also **getting updated in real-time**.\n\n\\\n[HireSure.ai](http://HireSure.ai) provides the most accurate real-time compensation benchmarking data which helps you **make the right offer** to the candidate. The platform allows you to communicate your offer to the candidate in the **most presentable and engaging manner**. It also uses behavior signals to **predict a potential dropout** in order to make course-correction to retain them.\n\n\\\nThis has the following advantages :\n\n* All the process of compensation **data submission is automatic** and needs no manual intervention\n* Since the job market is dynamic in nature, the offers made on [HireSure.ai](http://HireSure.ai)’s **real-time benchmarks** would be the most efficient\n* The presentation of the offer to the candidate makes it look **more appealing** and **explanatory** to the candidate\n* **Predicting a potential dropout** help companies put focused efforts into retaining the candidate\n\n![uploaded image](/media/?type=post&id=65208&key=user_uploads/858890/d144ffa8-0f31-4014-b66a-4db7dd8c228c)\n\n\n### [**🤩**](https://emojipedia.org/emoji/%F0%9F%A4%A9/) **The Ask**\n\n* **Warm introductions to Indian startups** (above 100 employees ) for a product demo\n* If you wish to know more or have any feedback (especially negative), we would be very happy to get in touch [anurag@hiresure.ai](mailto:anurag@hiresure.ai)\n\n### **😀 The Deal**\n\n* All Indian YC companies that sign up by Sep’22 shall be getting compensation benchmarks **for free** (make sure you have this data before appraisals [🤭](https://emojis.wiki/face-with-hand-over-mouth/)).\\\n  Reach out to me at [anurag@hiresure.ai](mailto:anurag@hiresure.ai) or [Sign Up Here](https://www.hiresure.ai/about/contact)",
        "url": "https://www.ycombinator.com/launches/Gxk-hiresure-ai-is-pave-for-india-to-benchmark-compensation",
        "votes": 49,
        "created_at": "2022-08-08T17:19:59.840Z"
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    "year_founded": 2019,
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        "full_name": "SJ (Sangyong) Jung",
        "title": "Founder",
        "founder_bio": "SJ (CEO) was the co-founder and co-CEO of Sentbe (2015-2018), a fintech company offering cross-border money transfer services. At Sentbe, SJ built the first product and led the product team during the early stages. Today, Sentbe is valued at over $100M. With a background as a full-stack developer and experience in UX, SJ specializes in building small, high-performing product teams.",
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        "full_name": "Arthur (Hyun June) Kim",
        "title": "Founder",
        "founder_bio": "Co-founder @Relate\nPreviously Sales and Product Lead @Opensurvey",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kimmarthur/",
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      {
        "id": 88529,
        "title": "Spread - simple email sending for marketing, sales, product, and transactional emails",
        "tagline": "Send all your business emails with one tool.",
        "body": "We’re [Relate](https://www.relate.so/). Our customers kept asking for a simple email tool that works with our CRM.\n\nSo we built it. They loved it. Then we realized everyone wants simpler email sending. That’s why we made it a standalone product — Spread.\n\n**Spread.** **We're making email simple and easy.**\n\n![uploaded image](/media/?type=post&id=88529&key=user_uploads/380923/68398109-cf5f-4980-bea5-1eb8c83b6d13)\n\n**tl;dr**\n\n* **Spread is an email sending platform that combines sales emails (cold), marketing, product, and transactional email together.**\n* Give it a try: [**www.spread.so**](http://www.spread.so)\n\nEmail is still the best way to reach customers. Unlike social media, emails wait in your customer's inbox until they're read. \\*\\*Write something worth reading, and engagement follows.\\*\\*\\\n\\\n**But sending emails is still painful.** Writing a simple oneoff campaign is too complicated. We were tired of using multiple tools for marketing, product, transactional and sales emails.\n\nWorse, managing contacts across tools is chaos - endless CSV exports/imports between marketing, sales, product, and transactional emails.\n\nSpread makes it easy by:\n\n* Notion-like email editor (markdown supported!)\n* Easy integration with emails\n* Automatic 1:1 email sequencing\n* Triggered emails based on contact adds\n* Forms, Docs, Calendar to capture leads",
        "url": "https://www.ycombinator.com/launches/N1t-spread-simple-email-sending-for-marketing-sales-product-and-transactional-emails",
        "votes": 5,
        "created_at": "2025-03-12T18:46:02.099Z"
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      {
        "id": 76188,
        "title": "Relate: Modern Sales CRM for B2B Startups",
        "tagline": "Meet Relate, a modern sales CRM platform for B2B startups and small businesses!",
        "body": "Hey YC!\n\nAfter nearly two years of building in private, we are finally opening our doors to build Relate with a broader public user community. **Today, we're launching **[**Relate**](https://www.relate.so/)** — a modern sales CRM software built for B2B startups.**\n\n![uploaded image](/media/?type=post&id=76188&key=user_uploads/380923/6293f5c2-08fd-4db5-9062-f5e8b3a9bdce)\n\n### **Why are we building a new CRM platform?**\n\nIt started with scratching our own itch. Before building Relate, we spent our [first four pivots](https://www.relate.so/blog/six-applications-y-combinator/) working on various B2B products. We needed a way to track our early sales and customer development activities, so we picked a CRM available on the market then — and we quickly found we were limited with old processes.\n\nOur sales motion, as a result, was very slow. We jumped around different CRM solutions, but none worked for us. Adding customer profiles was cumbersome and felt manual. Updating deals daily was taking longer than the selling itself.\n\nWhy isn't there a simple and easy-to-use CRM that just works out of the box?\n\nFor chat, we love using Slack. And for issue tracking, we love using Linear. But what about sales? Why isn't there a CRM that gives you similar excitement and joy as Slack and Linear?\n\nFrustrated by failing to find one, we built Relate to solve our problem.\n\n### **Introducing Relate CRM**\n\n![uploaded image](/media/?type=post&id=76188&key=user_uploads/380923/b84023b5-8f7a-4d1c-91cd-3a40d059d3f2)\n\nRelate offers a simple way to build customer relationships and collaborate with teams in one place.\n\n**Why Relate?**\n\n* It’s simple. No feature bloat, no heavy implementation, workflow setup.\n* Crafted product experience for startups\n* Powerful workflows and collaborative features that come with the product\n* Free plan! Get started without paying\n\n**Relate lets you:**\n\n* Track prospects, deals, and customers in one place\n* Manage your sales workflow and pipeline\n* Link and keep all your sales notes and email history together\n* Collaborate with your team on sales\n* Analyze and monitor sales productivity and efficiency\n\n**Try out for yourself!**\n\n* [**Get started free on Relate CRM**](https://www.relate.so/)\n\n**YC Deal**\n\n* 50% off — Standard Plan for 1 year\n* How to redeem: email [we@relate.so](mailto:we@relate.so) with a screenshot of your company profile on Bookface!",
        "url": "https://www.ycombinator.com/launches/Joq-relate-modern-sales-crm-for-b2b-startups",
        "votes": 20,
        "created_at": "2023-11-13T22:03:51.456Z"
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      {
        "id": 64070,
        "title": "Relate - Simple CRM that makes sales easy for startups",
        "tagline": "Relate lets you track customer communication and manage sales in one place.",
        "body": "[**Relate**](https://www.relate.so/) **is a simple sales CRM designed for startups and SMBs.**\n\n![uploaded image](/media/?type=post&id=64070&key=user_uploads/380923/a66d17d0-fbf0-4b4e-a395-242b8d45dc14)\n\n\\\nWe tried every sales CRM out there and couldn't find a simple, easy-to-use CRM for startups like us. We just wanted something simple - a good way to track leads, deals, and customer communication in one place.\\\n\\\nSo we decided to build it!\n\n**Relate lets you:**\n\n* Track leads & customers in one place.\n* Track deals and manage sales pipeline.\n* Collaborate with your team on customer communication.\n* Use Command+K bar and shortcuts to navigate between customers from your keyboard! 🏄⌨️\n\n**Collaborative sales:** Comment on emails, notes, and deals with your team. Invite your developers, PMs, etc. as guests to share/discuss sales opportunities or customer inquiries together.\n\n![uploaded image](/media/?type=post&id=64070&key=user_uploads/380923/b55bc706-7849-4472-b7a3-8fe61abece74)\n\n\\\n**Keep your sales notes, emails, customer data in one place:**\n\n![uploaded image](/media/?type=post&id=64070&key=user_uploads/380923/25b3f56f-d824-4627-ba4b-0d87a07fe750)\n\n# **Who's it for?**\n\nEarly-stage B2B founders & sales teams that need easier way to track customers and sales.\n\n# **How does it compare vs. spreadsheets and/or Notion template?**\n\n\\- Relate is simple as spreadsheets, but it is a full-fledged CRM that integrates with your Gmail/Outlook. You can **send/reply to emails in Relate and view email history** for all your customers.\\\n\\- Relate links leads, customer lists, sales pipeline, and your sales notes together.\n\n# **Get early access**\n\nGet on our waitlist & sign up for early access onboarding call today!\\\n👉👉 [**Get Early Access**](https://www.relate.so/)",
        "url": "https://www.ycombinator.com/launches/GfO-relate-simple-crm-that-makes-sales-easy-for-startups",
        "votes": 129,
        "created_at": "2022-06-25T04:51:54.178Z"
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    "id": 27097,
    "name": "Ad Army",
    "slug": "ad-army",
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    "all_locations": "London, England, United Kingdom",
    "long_description": "Ad Army is an AI creative tool for brands that need a constant supply of ad creative.\r\n\r\nYou build your brand's world once — characters, products, locations — each with locked descriptors and reference images. Then you generate against it: @-mention an entity in a prompt and its references are pulled into the model call, so the same product, the same face and the same location hold across images, video, and dozens of variants. Save any chain of steps as a recipe and replay it on the next campaign.\r\n\r\nWe're model-agnostic by design — video, image, text and audio providers sit behind one interface, and new models land as they ship. For a full narrative spot, the same world scripts, storyboards, animates, voices, captions and exports multi-scene ads in every aspect ratio.",
    "one_liner": "Generate, iterate, and ship AI ad creatives faster",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1660122078,
    "tags": [
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      "Marketing",
      "Creator Economy",
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    "url": "https://www.ycombinator.com/companies/ad-army",
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    "year_founded": 2022,
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        "user_id": 527274,
        "full_name": "Jonathan Aeschlimann",
        "title": "Founder",
        "founder_bio": "Swiss-Brazilan entrepreneur starting his third venture. Co-founder of divbrands.io, where we grew to become one of Google's most prominent display and video customers in Europe, reached $40M in yearly revenue bootstrapped and managed a team of 100+ remotely.\nExecutive education at Stanford GSB and Chicago Booth. Member of YPO and WEF Global Shapers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonaesh47/",
        "x_url": "https://twitter.com/jonaeschlimann",
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      },
      {
        "user_id": 1011677,
        "full_name": "Lourenço Maciel",
        "title": "Founder",
        "founder_bio": "Lourenço is a self-made entrepreneur with 12 years of digital marketing experience. He has built and led a successful eCommerce company, selling to over 30 countries in 9 languages. Lourenço specializes in advertising, tracking, and attribution with a strategic focus on driving profitable advertising spend, having spent over 50M in ads throughout his career. In 2021, he taught himself to code and developed a system that kept his business attribution working and helped secure 35M in revenue.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lourencomaciel",
        "x_url": "https://twitter.com/_loumaciel",
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      },
      {
        "user_id": 393383,
        "full_name": "Pedro Nascimento",
        "title": "Founder",
        "founder_bio": "Pedro is passionate about creating functional teams, great culture and helping people to become the best version of themselves. He has deep interest in computer science, machine learning and math, having large experience on them in both academic and corporate environments. Pedro expertise is to use a strong theoretical framework to solve real world problems. He is a former Google and Twitter engineer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pedro-paulo-nascimento-5792426b/",
        "x_url": "https://twitter.com/pedromnasc",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Conversion Pattern receives funding from Y Combinator - Swiss Trade",
        "url": "https://swisstrade.com/news/detail/news/conversion-pattern-erhaelt-foerderung-von-ycombinator/",
        "date": "Sep 03, 2022"
      },
      {
        "title": "Conversion Pattern erhält Förderung von Y Combinator - punkt4",
        "url": "https://punkt4.info/social-news/news/conversion-pattern-erhaelt-foerderung-von-ycombinator.html",
        "date": "Sep 03, 2022"
      }
    ],
    "launches": [
      {
        "id": 65262,
        "title": "Findly.ai - Co-pilot for Business Intelligence 📊💯",
        "tagline": "Empower your decision-makers with 85.7x faster - accurate - insights while saving 97% of technical time",
        "body": "# **TL;DR:**\n\n[Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) is the co-pilot for Business Intelligence that revolutionizes how businesses understand and interact with their data. By creating an engaging chat environment, it empowers decision-makers to gain insights, request reports, and generate visualizations based on their company's metrics. This seamless interaction is made possible by integrating a metric layer that comprehends all your company's metrics. The chat-based exploration simplifies complex data analysis, allowing users to generate comprehensive summaries with a single click, which can be exported to various formats. Furthermore, with the introduction of scheduled chats and action-triggered automations, [Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) enhances the autonomy and efficiency of decision-makers. It's more than a tool; it's a decision-making operational system aiming to facilitate decision-makers in achieving their KPIs while spending less time waiting for data.\n\nHello everyone. We are the team behind [Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc), an AI chatbot revolutionizing how you understand and interact with your data. Our aim is to facilitate decision-makers in making insightful, data-driven decisions.\n\n# **🧨 The Problem: Delayed Data Analysis**\n\nNon-data savvy users constantly require information, and data specialists, like developers and data analysts, are overwhelmed by data queries instead of focusing on enhancing the product. And even when reports and dashboards exist, these traditional data exploration methods have proven to be time-consuming and challenging to navigate.\n\n# 🎉 **The Solution:** [**Findly.ai**](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc)\n\n[Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) disrupts this paradigm by providing a conversational interface for your data. It's as if you're chatting with your business metrics, asking questions, requesting reports, and receiving visualizations that paint the complete picture of your internal business metrics.\n\n[Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) expedites the process of data analysis by providing a single-click solution to generate a comprehensive written summary after your chat-based exploration. These summaries can be exported easily to document formats, emailed, sent to Slack, or even transformed into PowerPoint presentations.\n\nBut there's more to [Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc). It introduces the concept of scheduled chats - pre-programmed interactions that happen automatically over time. This means decision-makers can automatically receive written reports on their company's results without someone manually preparing and sending them. It's like having a personal data analyst working for you around the clock.\n\nIn addition, [Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) enables decision-makers to set up automated actions based on the results of these chats. For example, if your revenue sees a month-to-month increase of 20%, automation can be set up to create a Trello card for the revenue team to assess results further and uncover opportunities. The possibilities are endless.\n\n# **💲Opportunity: A Paradigm Shift in Data Analysis**\n\n[Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) is redefining the data analysis landscape. By making data more accessible and interactive, it enables decision-makers to save time on complex data explorations and concentrate on strategic decision-making.\n\n# **👋 Ask: Unleash Your Data's Potential**\n\nIf you want to transform your decision-making process with quick access to data and automated insights, [**click here**](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) ([**https://findly.ai/join**](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc)) to get started.",
        "url": "https://www.ycombinator.com/launches/Gyc-findly-ai-co-pilot-for-business-intelligence",
        "votes": 140,
        "created_at": "2022-08-10T10:25:41.611Z"
      }
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    "id": 27108,
    "name": "Sanifu",
    "slug": "sanifu",
    "former_names": [
      "Patika Technology Limited",
      "Patika"
    ],
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    "website": "https://sanifu.ai",
    "all_locations": "Nairobi, Nairobi County, Kenya; Remote",
    "long_description": "Sanifu automates the repetitive work spreadsheets are used for. Teams across finance, marketing, operations, and revenue simply describe their repetitive work like cleaning and validating data, matching records, preparing reports and moving data from emails, PDFs and Excel exports into dashboards and other systems. Sanifu captures the steps, rules and outputs so the work is repeated reliably every time\r\n\r\nSome of these work never needed spreadsheets to begin with; the likes of data cleanup, bank reconciliations, report consolidation, payment allocations, channel attributions. Spreadsheets have become the standard workbench for handling these tasks and in the process, teams lose valuable time doing manual data entry, filling templates, formatting data, applying formulas, deleting rows or columns.\r\n\r\nSanifu is replacing the spreadsheet while maintaining the logic and processes behind the work, getting you from inputs to your desired outputs in seconds. This significantly reduces time spent on copy-paste work, spreadsheet cleanup, and manual entries and checking, while improving accuracy, consistency, and operational visibility. Sanifu helps teams scale critical back-office processes without relying on brittle spreadsheets, scripts, or general AI tools that reinvent the logic every run.\r\n\r\nSanifu is a full operational platform with 5k+ app integrations, 1k+ native functions, forms, scheduler, data stores, dashboards, approvals, reviews, AI-powered entity matching among many other features that make it an end-to-end data app management platform",
    "one_liner": "Automate the repetitive work spreadsheets are used for",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1655225496,
    "tags": [
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      "B2B",
      "Analytics",
      "Data Engineering",
      "AI"
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    "batch": "Summer 2022",
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      "Africa",
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    "url": "https://www.ycombinator.com/companies/sanifu",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/sanifu.json",
    "year_founded": 2021,
    "city": "Nairobi",
    "country": "KE",
    "linkedin_url": "https://www.linkedin.com/showcase/sanifu",
    "x_url": "https://x.com/SanifuAi",
    "fb_url": "https://www.facebook.com/Patika-Africa-103542242060777",
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    "founders": [
      {
        "user_id": 747527,
        "full_name": "Sidney Rema",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO at Patika - helping finance, marketing, operations, and revenue teams automate the manual data processes they currently do across spreadsheets, emails, PDFs, and disconnected systems.\n\nTrained as a Medical Doctor (Partly). 5 Years+ experience in Banking - Extending credit to micro & small businesses in Nairobi, Kenya. In my previous company, built payments systems with $10M+ monthly GTV across Kenya, Nigeria & Uganda. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidney-rema-90138658/",
        "x_url": "https://twitter.com/sidneyrema_?t=Xr0rdOT-gm2VdRYFbatHRg&s=09",
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      },
      {
        "user_id": 742381,
        "full_name": "Phelix Juma",
        "title": "Founder",
        "founder_bio": "Co-Founder & CTO at Sanifu - helping finance, marketing, operations, and revenue teams automate the repetitive work they spend hours doing manually in spreadsheets \n\nI previously helped 3 companies build payments systems that processed $10M in monthly GTV across Kenya, Uganda and Nigeria. \nI am an EE graduate from University of Nairobi with background in information systems, banking, payments integration and data science",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/phelix-juma-80877193/",
        "x_url": "https://twitter.com/jumaphelix",
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 101295,
        "title": "Sanifu: Automate the repetitive work spreadsheets are used for",
        "tagline": "Describe your repetitive and manual work you currently do in spreadsheets and Sanifu turns them into autonomous data apps that run the same way every time.",
        "body": "Sanifu automates the repetitive work spreadsheets are used for. Teams across finance, revenue, and operations simply describe their repetitive work like cleaning and validating data, matching records and moving data across systems. Sanifu captures the steps, rules and outputs and runs it automatically and reliably every time.\n\nThis significantly reduces time spent on copy-paste work, spreadsheet cleanup, and manual entries and checking, while improving accuracy, consistency, and operational visibility. Sanifu helps teams scale critical back-office processes without relying on brittle spreadsheets, scripts, or general AI tools that reinvent the logic every run.\n\n<https://www.youtube.com/watch?v=9I1BvbW3n6Y>\n\n### **The problem**\n\nAnalysts and teams in finance, revenue, and operations spend a huge part of their day doing manual data work. Cleaning data, preparing reports, moving things across systems, tracking work. It's repetitive, boring, and takes time away from the parts of their job that actually matter. The same work gets done repeatedly because their data is scattered across systems, emails, PDFs, and files. Only a few people know the rules and exceptions. When they leave, the process breaks.\n\nExisting tools don't solve the whole problem. Spreadsheets, macros, and scripts are brittle and hard to maintain. General AI tools can help, but they reinvent the logic on every run, so outputs need constant checking and can't be trusted for critical workflows.\n\n### **How Sanifu solves this**\n\nAnyone can turn their manual data work into an autonomous data app—just by describing it.\n\n1.⁠ ⁠You describe the process.\n\nIn plain English, you walk Sanifu through what you do. It asks the right questions, handles edge cases, understands your rules, and works with your real data (files, emails, systems) to define the full workflow.\n\n2.⁠ ⁠Sanifu runs it with you.\n\nIt executes the process end-to-end, showing real-time progress and outputs. You review results, make changes, and refine the workflow until it matches exactly what you expect.\n\n3.⁠ ⁠It becomes a reliable operations platform.\n\nOnce approved, Sanifu saves the entire process and turns it into a data app. All future runs replay the exact steps whereby the same input plus same context equals same output. It’s more than a workflow tool: built-in data stores, dashboards, forms, integrations, scheduled and event triggers as well as audit trails.\n\nSanifu is a full operational platform with 5k+ app integrations, 1k+ native components, forms, scheduler, data stores, dashboards, approvals, reviews, AI-powered entity matching among many  other features that make it an end-to-end data app management platform.\n\nSome of the fastest growing teams in various industries are already using Sanifu to save their team’s hundreds of hours per day of manual data handling.\n\n**Asks**\n\nIf you run a SaaS, finance, ops, or sales team and you have a workflow that involves cleaning, matching, moving data across systems or manual reporting, please reach out. We'll build your first data app with you, free, in exchange for honest feedback.\n\n* Get Free $25 Credits at <https://sanifu.ai> \n* Talk to us: [founders@sanifu.ai](mailto:founders@sanifu.ai) or WhatsApp +254 712 983 630\n* Intros welcome: anyone in finance, ops, RevOps, or biz ops at a YC company is exactly our ICP.",
        "url": "https://www.ycombinator.com/launches/QLn-sanifu-automate-the-repetitive-work-spreadsheets-are-used-for",
        "votes": 13,
        "created_at": "2026-05-13T18:32:52.849Z"
      },
      {
        "id": 64212,
        "title": "🚀 Patika - Receivable Automation & Payments for Africa’s SMBs",
        "tagline": "Enabling SMBs in Africa to track customer debt, facilitate the repayments and manage their cash flow",
        "body": "**Patika enables Africa’s SMBs to track customer debt, facilitate the repayments and manage their cash flow**\n\nMy mum runs a small shop and we saw her struggle with this problem. She was spending up to 3 hours a day doing phone call follow ups and reconciliations.\n\n### **Problem**\n\nSMBs in Africa are using pen and paper to record and track customer debt which is ineffective and time consuming. As a result, up to 60% is paid late and they lose as much as $2k a year to non-payments.\n\n![uploaded image](/media/?type=post&id=64212&key=user_uploads/742381/aaeddd2a-247c-4173-bfcf-07ba02343ced)\n\n### **Solution**\n\nWe are automating previously manual processes like debt repayment reminders, billing, payments and reconciliations.\n\n1. A business on Patika adds their customer and the debt amount.\n2. Patika sends automated payment reminders directly via SMS or WhatsApp.\n3. The customer can pay them directly through the payment link they received or if paid in cash, they can record the repayment on the app and issue a receipt.\n\n   ![uploaded image](/media/?type=post&id=64212&key=user_uploads/742381/9aff975c-0730-4a97-9e40-a87d1b2fff2f)\n\n\n### **Want to join us?**\n\n1. You can reach us at [founders@patika.africa](mailto:founders@patika.africa)",
        "url": "https://www.ycombinator.com/launches/Ghg-patika-receivable-automation-payments-for-africa-s-smbs",
        "votes": 43,
        "created_at": "2022-06-30T05:47:38.319Z"
      }
    ]
  },
  {
    "id": 27140,
    "name": "Boton",
    "slug": "boton",
    "former_names": [
      "Hero"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/358e3bc7c5a63ac1e3b373ee88906f1251181ba4.png",
    "website": "https://www.botonapp.com/",
    "all_locations": "Panama City, Panama, Panama",
    "long_description": "SMBs in Latam use Boton to get real-time financial statements prepared by an autonomous agent. We match you with a partner accountant that may review your books and answer your questions.",
    "one_liner": "Accounting software with an AI agent",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1658191841,
    "tags": [
      "SaaS",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "Panama",
      "Latin America"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/boton",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/boton.json",
    "year_founded": 2021,
    "city": "Panama City",
    "country": "PA",
    "linkedin_url": "https://www.linkedin.com/company/botonapp",
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 376933,
        "full_name": "Alvaro Sosa",
        "title": "Founder",
        "founder_bio": "Founder at Hero",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alvaro-sosa-281478ba/",
        "x_url": "https://twitter.com/asosa16",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6c0186a83ddb80fea33a2d2d2e388096828b30b.jpg"
      },
      {
        "user_id": 367160,
        "full_name": "Fernando Varela",
        "title": "Founder",
        "founder_bio": "Ex quant. I like gaming, math puzzles and cooking. Specially cooking.\n\nI mostly experiment on using low lactose alternatives (like goat cheese) to make lactose heavy meals (like cacio e pepe). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/fernando-varela-1934387b/",
        "x_url": "https://twitter.com/fernandovarelaf",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a88281a4ba93b7bf63d850e303b680db2599c18.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Panameña Hero impulsada por Y Combinator | La Prensa Panamá",
        "url": "https://www.prensa.com/martes-financiero/panamena-hero-impulsada-por-y-combinator/",
        "date": "Jul 18, 2022"
      }
    ],
    "launches": [
      {
        "id": 65394,
        "title": "Hero: Bill.com for Latam",
        "tagline": "SMBs use our corporate cards and WhatsApp bot to organize their expenses",
        "body": "Hey YC 👋\n\nAlvaro and Fernando from @Hero here!\n\n**Hero is Bill for Latam.** \n\n**98 SMBs use our corporate cards and WhatsApp bot to organize their expenses.**\n\n### **Companies without Hero**\n\nWhen people spend on behalf of their company, they have to **save those receipts**. Some get lost, some get erased, and some become a source of questioning. What was that receipt for?\n\nEventually someone makes a **spreadsheet**, **prints** it out, and staples it to corresponding receipts. His/her boss approves these by **signing** with a **pen**.\n\nLater on, an accountant **transcribes** these into some sort of **accounting** software.\n\nIt takes months for decision makers in the company to know how much they are really spending.\n\n### **Companies with Hero**\n\nAn employee uses his/her **Hero Card** to make a purchase. He/she immediately receives a **WhatsApp** message from our bot, asking for a **picture** of the receipt.\n\n![uploaded image](/media/?type=post&id=65394&key=user_uploads/376933/c4c4b771-3bc0-4bf6-835d-7e7955e40181)\n\nUsers use our **webapp** to create **reports** and manage **reimbursements**.\\\nAll expenses go through Hero’s **OCR engine.**\n\nAccountants use our webapp to **export** expense information to their **accounting** **software** of choice.\n\nDecision makers see in realtime how much their company is spending.\n\n### **Why We Built This**\n\nAlvaro was managing the expenses for a remote company. Employees would send him pictures of receipts via WhatsApp along with a typed out table, asking for reimbursement. \n\nWe hacked away a no-front-end version that saved Alvaro 2 hours per week. We eventually polished the product and started selling it.\n\n# **How can you help us?**\n\nIf you’re in Latam and you spend time reporting expenses or dealing with receipts, reach out to us!\n\nGive us a [follow](https://www.instagram.com/hero_facturas/)!",
        "url": "https://www.ycombinator.com/launches/H0k-hero-bill-com-for-latam",
        "votes": 35,
        "created_at": "2022-08-16T13:56:54.161Z"
      }
    ]
  },
  {
    "id": 27141,
    "name": "Avina",
    "slug": "avina",
    "former_names": [
      "Mesh Interactive",
      "Mesh Analytics"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79195177640dfecbfedb5a0b006bbe3683aa1f14.png",
    "website": "https://avina.io",
    "all_locations": "New York City, NY, USA",
    "long_description": "Avina uses AI agents to find prospects that are ready to buy, surface the warmest ones to your team and automate outreach to the rest.\r\n\r\nCompare us to tools like Unify or Common Room.",
    "one_liner": "GTM signals engine for sales teams. Automate warm outbound with AI.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1673552937,
    "tags": [
      "B2B",
      "Sales",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/avina",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/avina.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/avinaio/",
    "x_url": "",
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        "user_id": 185378,
        "full_name": "Vivek Sudarsan",
        "title": "Founder/CEO",
        "founder_bio": "Automate warm outbound with signals.\n\nI'm the CEO and co-founder of Avina. Previously I was the CPO of Bowtie which was acquired by Mindbody, and helped scale the product to thousands of customers after our acquisition.\n",
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      {
        "user_id": 972936,
        "full_name": "Mike Wang",
        "title": "Founder",
        "founder_bio": "Hi! I'm the CTO & Co-founder of Avina. Previously I was CTO & Co-founder of Bowtie, an AI receptionist that we sold to Mindbody. Would love to chat about new tech, startup life, AI, social impact, sci-fi, philosophy, or the latest Netflix show :)",
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        "linkedin_url": "https://www.linkedin.com/in/michaelzw/",
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      {
        "id": 99611,
        "title": "Avina: GTM Agents to Reach Your Next Customer",
        "tagline": "Avina finds the companies that actually need your product right now, qualifies them, and automatically engages them with personalized AI outreach",
        "body": "**TL;DR:** Create your dream GTM motion at the speed of thought. Describe your ideal buyer or buying trigger in a single sentence. Avina finds matching companies 24/7, enriches them with verified contacts, writes personalized sequences tied to the exact signal, and syncs leads wherever your team works. Signal to AI outbound, fully automated. Starting at $149/mo.\n\n👋 Hey friends, we're Vivek and Mike (YC S22). We previously built and sold Bowtie to Mindbody, and now we're building Avina to fix outbound.\n\n<https://youtu.be/rdUnYD9Z6Ac>\n\n**The problem**\n\nGeneric outbound is dying, but doing smart outbound is still painfully hard.\n\nThe pitches that get replies are the ones that arrive right when something happening at the prospect's company makes your product feel relevant. The hard part has always been finding those moments at scale and acting on them fast.\n\n**Our solution**\n\nAvina finds the companies that actually need your product right now, qualifies them, and automatically engages them with personalized AI outreach. All synced with your existing sales stack.\n\n![uploaded image](/media/?type=post&id=99611&key=user_uploads/185378/d34b49d3-f41b-4940-83da-11472e593ba8)\n\n**How it works**\n\nDescribe your ideal buyer or buying trigger in a single sentence:\n\n* _Selling usage-based billing?_ \"PLG companies that just launched an API in the last 3 months\"\n* _Selling compliance automation?_ \"Companies awarded a prime DoD contract in the last 30 days\"\n* _Selling cybersecurity?_ \"Healthcare companies that experienced a data breach in the last 6 months\"\n* _Selling voice AI?_ \"Mid-market home services companies with recent negative reviews mentioning 'long wait times' or 'understaffed'\"\n\nIt works for first-party intent too. Website visitor de-anonymization is built in (RB2B, Vector, and more), so you can act on inbound signals like \"prospects that visited our pricing page for more than 2 min.”\n\n![uploaded image](/media/?type=post&id=99611&key=user_uploads/185378/601dc08e-720f-4466-9deb-433c0902d7df)\n\nAvina takes it from there. Four agents handle the full pipeline:\n\n1. **Signals Agent** monitors the web 24/7 for matching companies: press releases, job posts, LinkedIn posts, technographics, inbound site visitors, and more\n2. **Qualification Agent** scores leads against your ICP, finds your target contact at the company, and enriches them with verified contact details.\n3. **Outbound Agent** researches each company, writes personalized emails tied to the specific trigger, and sends via your existing sequencer (Instantly, HubSpot, Lemlist, Smartlead) so you keep your warmed domains\n4. **Workflow Agent** syncs every lead to the rest of your stack: CRM lists, Slack, Clay, Zapier, and more\n\n**Try it free!**\n\nStart a 14-day free trial at [avina.io](http://avina.io).\n\nNot sure what signals to start with? Our in-product **Signal Recommender** analyzes your website and suggests high-impact buying triggers, and we have a[ library of 250+ examples for inspiration](https://avina.io/signals-library).",
        "url": "https://www.ycombinator.com/launches/Pud-avina-gtm-agents-to-reach-your-next-customer",
        "votes": 73,
        "created_at": "2026-04-09T19:01:26.818Z"
      },
      {
        "id": 86233,
        "title": "Avina - X-ray vision for your sales team 🩻✨",
        "tagline": "See what your leads are reading on your site, and use AI to move those deals forward - fast.",
        "body": "# **⚡️ TL;DR**\n\nAvina is an AI sales companion for full-cycle sellers.\n\n* Use Avina’s advanced reasoning to get custom buying signals on your accounts. Don’t waste $$ on stale databases that aren’t tailored to your business!\n* Get x-ray alerts on **exactly what your prospects are reading** on your site to turn marketing engagement into booked meetings.\n* Use every insight to draft perfect messages using Avina’s in-context email and LinkedIn drafting.\n* Get pre and post-meeting briefs tailored to your business and playbooks so you never miss a deal-moving detail.\n* Avina fills out all your CRM fields after every call, saving you 5-10 hours a week.\n\nUsing Avina, sellers get help at every step of the journey to move deals forward - fast. \n\n### **The Problem:**\n\nThe predictable revenue model is dead, and AI SDRs are flooding channels with noise. Sellers need a better way to break through without wasting hours trying to comb through various systems to find the right insights to move a deal forward.\n\n### **The Solution:**\n\n<https://youtu.be/vq2wIYpSznE>\n\n**AI isn’t here to replace you. It’s here to guide you to take the optimal action and free you of tedious, repetitive labor.**\n\nStep 1. Use Avina’s AI crawler to get the exact signals you need to prioritize accounts.\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/6c3dd813-590a-4f4a-9597-4939b6a6a4cf)\n\nStep 2. Draft the perfect email or LinkedIn message using Avina’s Chrome extension to get your target leads to notice you and drive them to your site!\n\nStep 3. Get real-time x-ray alerts on _exactly what they are reading or screenshotting on your site._\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/654fbc30-d36f-4a97-b0ab-9aec38987e9a)\n\nStep 4. Use Avina’s Slack bot to research and craft messaging for accounts on the topics that matter most to them.\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/e7ef2eca-1eae-4af7-b480-d7f69c9c49be)\n\nStep 5. Get the meeting!\n\nStep 6. Get a pre-call brief from Avina with the full context about the account.\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/e6daea04-a598-4c32-82b9-a4acc3c9477b)\n\nStep 7. Record, transcribe, and extract key information from the call using Avina’s call bot.\n\nStep 8. Get a post-call brief mapped to your playbook, tracking everything that moves your deals forward.\n\nStep 9. Push info that Avina captured on the call to your CRM right from Slack!\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/dcedfb04-ce60-4f96-8896-a30f5d100ee3)\n\n\\\n**Avina is plug-and-play. Go live in as little as 30 minutes.**\n\n📈 Businesses see a 30% increase in opportunities created.\n\n⏳ Sellers save 5-10 hours of manual work a week.\n\n💡 Execs get the data they need to make the best decisions.\n\n**The Team** \n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/aac13df0-3550-4f0b-8d90-eb6bcc481b03)\n\nWe’re Mike, Vivek, and Ron, 2x co-founders who have seen how useful data there is for sellers, if only they had a little help making use of it. \n\nWant X-ray vision or your team? [Book time with us here](https://calendly.com/meshwithron/avina-x-ray-vision-for-your-sellers)\n\nOr reach out directly: [ron@avina.io](mailto:ron@avina.io)",
        "url": "https://www.ycombinator.com/launches/MQr-avina-x-ray-vision-for-your-sales-team",
        "votes": 15,
        "created_at": "2024-12-11T18:46:22.133Z"
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    "id": 27142,
    "name": "Invofox",
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    "website": "https://invofox.com?utm_source=yc",
    "all_locations": "Madrid, Community of Madrid, Spain; Remote",
    "long_description": "Software teams in 150+ companies solve their document processing needs using Invofox.\r\nWe are a good option for you if:\r\n- Great accuracy is a requirement in your business (we guarantee +99% as part of our SLAs, written in our contracts)\r\n- You want a simple and easy to understand pricing (we charge per page, and any documents were you report back an error are completely free)\r\n- You want a system that just works, and that gets better over time (Invofox learns automatically with feedback)\r\n\r\nYou can try it with this link and get an extra 250 pages for free: https://go.invofox.com/ooVVIw",
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    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1660657383,
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/invofox.json",
    "year_founded": 2022,
    "city": "Madrid",
    "country": "ES",
    "linkedin_url": "https://www.linkedin.com/company/invofox/",
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        "user_id": 842901,
        "full_name": "Alberto Gimeno",
        "title": "Founder",
        "founder_bio": "Computer scientist and mathematician.\nWorked for years as a developer before discovering my true passion in sales.\nReach out if you're intested in literature, crossfit or baseball.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gimenoalberto",
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      {
        "user_id": 1012426,
        "full_name": "Carmelo Juanes",
        "title": "Founder",
        "founder_bio": "Computer scientist and mathematician. Former researcher at CSIC. Full stack developer focused on web technologies. Talk to me about parkour, bouldering and inline skating!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/carmelojuanes/",
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      {
        "user_id": 1012489,
        "full_name": "Adrian Ramirez",
        "title": "Founder",
        "founder_bio": "Computer Engineer and Mathematician with a demonstrated history of working in the research industry. Highly skilled in many programming languages with extensive knowledge of ML and DL.\nHobbies include hiking, bouldering, soccer and beer brewing.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adrian-ramirez-delrio/",
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      {
        "id": 119173,
        "title": "Invofox – Turn any document into structured, validated JSON",
        "tagline": "Invofox is the document processing API for software teams: send us any PDF or image and get accurate, validated structured data back.",
        "body": "Hey everybody! 👋\n\nWe’re [Alberto](https://www.linkedin.com/in/gimenoalberto/?isSelfProfile=true), [Carmelo](https://www.linkedin.com/in/carmelojuanes/) and [Adrian](https://www.linkedin.com/in/adrian-ramirez-delrio/), the founders of [Invofox](https://www.invofox.com/en/).\n\nWhen we first launched on YC four years ago, Invofox extracted data from invoices.\n\nOver these past few years we expanded to all types of documents, grew to serve +150 software teams across Europa and the US, and processed tens of millions of documents for them.\n\nToday we're excited to launch something new: a fully self-serve API to turn virtually any business document into structured, validated data.\n\n<https://www.youtube.com/watch?v=cuvpexh-WTw>\n\n## TL;DR\n\nSend Invofox a PDF or image. We handle the document processing pipeline and return clean, structured JSON.\n\nMortgage documents, Invoices, bank statements, payslips, receipts, bills of lading, insurance documents, healthcare documents, or your own custom document type.\n\nAnd starting today, anyone can sign up and try the entire product without talking to us first.\n\nUpload your own documents, see the results, define what you want to extract, and integrate the API.\n\nFor the launch, new users get 1,500 pages free.\n\n## The problem\n\nLLMs have made extracting information from a document look deceptively easy.\n\nUpload a PDF. Write a prompt. Get some JSON back.\n\nThe hard part starts when you need to do this reliably in production across thousands or millions of real-world documents.\n\nDocuments arrive rotated, scanned badly, bundled together, in different languages and layouts. You need to split them, classify them, extract nested fields and line items, validate the output, deal with edge cases, measure accuracy, handle failures and continuously improve the system.\n\nAnd one wrong field can be enough to break the workflow downstream.\n\nWe kept seeing software teams build increasingly complicated document-processing infrastructure around models that were supposed to eliminate that infrastructure in the first place.\n\n## We are extraction-first\n\nThere’s an important distinction in how we’ve built Invofox.\n\nMany document-processing products started with parsing: OCR, converting PDFs into text, understanding layout, or making documents searchable. Data extraction then became a natural extension of that product.\n\nWe came at the problem from the opposite direction.\n\nOur core problem has always been: **how do we get the exact data a customer needs out of a document, correctly, every time?**\n\nParsing is one component of that problem, but it isn’t the end product.\n\nThat difference has shaped almost everything about Invofox.\n\nOur technology is optimized around extraction accuracy, not simply producing a good representation of the document.\n\nOur validation layer is designed to catch extraction errors before they reach downstream systems.\n\nOur pricing is built around successfully processed documents rather than tokens, model calls, or pages of parsed text — in fact, if you use Invofox, **documents were we make any mistake are completely free**.\n\nAnd our operations are built around continuously finding and fixing the difficult edge cases that appear in production.\n\nThe goal is not to give you a cleaner PDF.\n\nThe goal is to give your software the right data.\n\nEspecially on the documents where extraction gets difficult.\n\n![uploaded image](/media/?type=post&id=119173&key=user_uploads/842901/85693ce9-c948-4c52-b00f-bf70b1954104)\n\n## What we built\n\nInvofox gives developers one API for the entire document processing pipeline.\n\nSend us a document and we handle:\n\n* Parsing and OCR\n* Splitting files containing multiple documents\n* Document classification\n* Structured data extraction (with support for custom schemas)\n* Tables and line items\n* Validation and confidence checks\n* Production monitoring and continuous improvement\n* Delivery through our API and webhooks\n\nYou can use one of our pre-built document types or define exactly what you want returned.\n\nThe output is structured JSON that can go directly into the rest of your application.\n\nSend your documents to our API and don’t worry about the details: which models to use, how to prompt them, what OCR or parsing techniques will improve your results. You don’t really care about any of that: you just want to get the right data, reliably, at the right price.\n\nToday, 150+ companies use Invofox across accounting, financial services, mortgage, insurance, healthcare, logistics and other document-heavy industries.\n\n![uploaded image](/media/?type=post&id=119173&key=user_uploads/842901/3519832a-82b8-43c0-96cd-697a9611acc2)\n\n## Why we obsess over accuracy\n\nAfter processing tens of millions of real-world documents, we've learned that field-level accuracy alone is a misleading metric.\n\nIf you extract 50 fields from a document and get one important field wrong, that document may still require a human to review it.\n\nSo we measure whether the entire document is correct.\n\nOur production accuracy is above 99%, we guarantee this level of quality as part of our SLAs, and we back that up commercially: **if you report an incorrectly processed document, you don't pay for it**.\n\nWe want the incentive to be simple: we make money when the automation actually works.\n\n![uploaded image](/media/?type=post&id=119173&key=user_uploads/842901/947b61ee-a20b-44e0-acf8-8a8858a67f42)\n\n## Why self-serve now?\n\nUntil today, trying Invofox generally meant talking to our team first.\n\nThat increasingly felt wrong.\n\nWe're infrastructure for software teams. The best way to evaluate infrastructure isn't to watch our sales deck or take our word for how accurate it is.\n\nIt's to throw your own data at it.\n\nSo now you can.\n\nCreate an account, upload the ugliest documents you have, inspect the output, and decide for yourself whether it's good enough to put into production.\n\nNo sales call required.\n\n![uploaded image](/media/?type=post&id=119173&key=user_uploads/842901/c34993ab-435d-4f29-8921-780561dbf701)\n\n## A little backstory\n\nThe three of us met studying mathematics and computer science in Spain.\n\nWe originally came across this problem while building software that needed to extract data from business documents. Like a lot of engineers today, our first reaction was essentially: surely this has already been solved.\n\nIt hadn't.\n\nWe joined YC in S22 with a product focused on invoice extraction.\n\nSince then, customers kept bringing us adjacent problems: bank statements, mortgage documents, payslips, insurance documents, logistics paperwork, healthcare documents and many others.\n\nThe document types changed, but the problem was always the same: reliably turning messy, unstructured documents into data that software could actually use.\n\nOver time, what started as an invoice extraction product became infrastructure for processing unstructured business documents in general.\n\nThis launch is the first time we're making that entire product available for anyone to try on their own.\n\n![uploaded image](/media/?type=post&id=119173&key=user_uploads/842901/dec02fd5-b1cd-41ab-ab2f-199dd9b68a5d)\n\n## Our ask 🙏\n\nWe'd love two things from the YC community:\n\n1. Try Invofox on your hardest documents. We're giving new users 1,500 free pages for the launch. If you find something we can't handle well, I genuinely want to see it.\n2. If your company is building a workflow that involves humans reading PDFs or images and typing information into software, we'd love to talk. There's a good chance that workflow can now be automated.\n\nYou can get started at [invofox.com](http://invofox.com).\n\nAnd if you try it, please send us feedback, especially the bad stuff!",
        "url": "https://www.ycombinator.com/launches/V09-invofox-turn-any-document-into-structured-validated-json",
        "votes": 10,
        "created_at": "2026-10-05T16:32:42.567Z"
      },
      {
        "id": 65399,
        "title": "Invofox - Automatically extract data from invoices 🧾",
        "tagline": "https://www.invofox.com",
        "body": "**tl;dr:** We help software companies automatically extract data from invoices, so they can fully automate processes for their customers, such as payments or accounting, without anyone having to review the data. **Reach out through** [**our website**](https://invofox.com) **to learn more!**\n\nHi everyone, we’re Adrian, Alberto and Carmelo, and we are the founders of [Invofox](https://www.invofox.com). We met at university, in Spain, while the three of us majored in math and computer science.\n\n![uploaded image](/media/?type=post&id=65399&key=user_uploads/842901/5f7a5f4b-3242-4c4b-88aa-a9c8fd8b5b1a)\n\nFrom left to right:\n\n[Adrian](https://www.linkedin.com/in/adrian-ramirez-delrio/) is our machine learning expert. He’s responsible for the deep tech side of Invofox. Chat with him about #machineLearning #artificialIntelligence #bouldering or #beerBrewing\n\n[Alberto](https://www.linkedin.com/in/gimenoalberto/) is our CEO. He’s responsible for business development and investors relations. Chat with him about #b2bSales #outboundSales #literature or #crossfit\n\n[Carmelo](https://www.linkedin.com/in/carmelojuanes/) is our CTO. He’s responsible for the productization of our technology, making it usable for our customers. Chat with him about #javaScript #mongoDB #boardGames or #parkour\n\n# Isn’t invoice digitization a solved problem? Why should I care about it?\n\nWell, no. The first time we approached this problem we thought the same thing, but it really isn’t.\n\nMost commercial solutions rely on one of two approaches:\n\n* Template based AI. Basically, you need to pre-configure how to extract information from every different invoice layout you might need to process. It clearly doesn’t scale, it is expensive to setup, and really expensive to maintain.\n* Outsourcing. Meaning someone, somewhere, is going to have to take a look at your invoices. Humans take a long time to do it, and on top of that they make mistakes.\n\nEvery year 100+ billion invoices are issued in the USA and EU, wasting tens of billions of dollars in errors and unproductive costs.\n\nInvofox allows you to automate all of the processes taking place around invoices, such as payments or accounting, without anyone having to review those documents.\n\nWe do this with an easy to use, stripe like, [API](https://prod.kinequo.com/backends/midas/api-docs/), that allows software companies to seemlessly integrate our technology into their product and provide the best possible service to their customers.\n\n### **Our ask**\n\n1. If you are interested in our technology, reach out to us through [our website](https://invofox.com) or email us at [founders@invofox.com](mailto:founders@invofox.com) and try it for free\n2. Share this post! Coming from Spain we do not have a network in the USA, so any notoriety is more than welcome =)\n3. Connect us with other startups or companies that could benefit from automating invoice processing\n\nOur quick blurb: Invofox helps software companies automatically extract data from invoices, so they can fully automate processes for their customers, such as payments or accounting, without anyone having to review the data. We process 17+ million invoices per year, mostly in Europe, and we are currently expanding to the US, Canada, Mexico and India.",
        "url": "https://www.ycombinator.com/launches/H0p-invofox-automatically-extract-data-from-invoices",
        "votes": 25,
        "created_at": "2022-08-16T15:57:30.983Z"
      }
    ]
  },
  {
    "id": 27146,
    "name": "Sunpia",
    "slug": "sunpia",
    "former_names": [
      "Cloudless",
      "Sunpia",
      "Cloudless"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a8f293ade5299bdff930dd4920f116a323117fe.png",
    "website": "http://sunpia.io",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Sunpia lets developers easily experience the cost and speed benefits of serverless infrastructure, without having to rewrite their code. Developers annotate their code and Sunpia automatically designs a microservice version of it they can deploy on their own cloud.",
    "one_liner": "Deploy serverless without rewriting code",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1662145175,
    "tags": [
      "Developer Tools",
      "Kubernetes",
      "Data Engineering"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada",
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    "stage": "Early",
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        "location": "San Francisco HQ; Toronto Hub",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$196K - $220K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Introducing Alexandria and our $75M Series B",
        "url": "https://www.firecrawl.dev/blog/introducing-alexandria-series-b",
        "date": "Sep 22, 2026"
      },
      {
        "title": "AI crawler Firecrawl raises $14.5M, is still looking to hire agents as employees | TechCrunch",
        "url": "https://techcrunch.com/2025/08/19/ai-crawler-firecrawl-raises-14-5m-is-still-looking-to-hire-agents-as-employees/?utm_campaign=social&utm_source=X&utm_medium=organic",
        "date": "Aug 19, 2025"
      }
    ],
    "launches": [
      {
        "id": 86973,
        "title": "/extract by Firecrawl - Get structured website data with just a prompt",
        "tagline": " Turn entire websites into structured data with AI",
        "body": "Hey everyone! We’re Eric, Caleb, and Nick from Firecrawl (S22). Today, we’re launching **/extract** — an endpoint that turns entire websites into structured data with a prompt.\n\n**TL;DR**\n\nWith Firecrawls' new /extract endpoint, any website can be turned into structured data with a simple API call and prompt. We handle the complexity so you can focus on building your company.\\\n\\\n**The Problem.**\n\nIf you need to pull data from websites - maybe to enrich your CRM, track competitors, or onboard users - you're stuck with:\n\n1. Manually researching and copy-pasting from multiple sources \\\\\n2. Building and maintaining scrapers that break at the slightest site change\n3. Stitching together scraping services and complex LLM pipelines with limited context windows\\\n   \\\n   Each approach wastes the engineering time you could spend shipping a product. :\n\n## **Our Solution:**\n\n/extract is an API that turns a prompt into structured web data.\n\n![uploaded image](/media/?type=post&id=86973&key=user_uploads/1045172/62c44a11-9011-4ae0-82ac-8151a9c57c1b)\n\nHere's how to use it: \n\n1. **Give us URLs + Prompt**\\\n   Write what data you want, and point us at websites. Use wildcards like [example.com/\\*](http://example.com/\\*) to scan entire sites.\n2. **We Find Relevant Content**\\\n   Our crawler finds and ranks the pages that matter, automatically.\n3. **AI Extracts Data**\\\n   Intelligent agents split, search and parallelize the work, handling sites of any size.\n4. **Get Clean JSON**\\\n   Receive structured data ready to use - no post-processing needed.\n5. **Integrate anywhere via API**\\\n   With our API, you can use firecrawl anywhere, whether its in your applications or no-code tools like Zapier\n\n## **Why It Works**\n\n* **Handle Any Website:** Built on proven scraping infrastructure that just works\n* **Natural Language Input:** Describe what you want in plain English - we figure out the schema\n* **No Size Limits:** Process massive sites by automatically splitting the work\n* **Use It Anywhere:** Full API + ready-made integrations for Python, Node, and Zapier\n\n## **Limitations - (and the road ahead)**\n\nLet's be honest - while /extract is pretty awesome at grabbing web data, it's not perfect yet. Here's what we're still working on:\n\n1. Big sites are tricky - It can't (yet!) grab every single product on Amazon in one go\n2. Complex searches need work - Things like \"find all posts posted after 2024\" aren't quite there\n3. Sometimes, it's a bit quirky - Results can vary between runs, though it usually gets what you need\n\nBut here's the exciting part: we're seeing the future of web scraping take shape. \n\n## **Get Started**\n\n1. **Try the Open Beta**\n   * For a limited time, get **500,000 free** tokens to get you started\n   * Explore the [www.firecrawl.dev/playground?mode=extract](http://www.firecrawl.dev/playground?mode=extract) \n   * Read the docs => <https://docs.firecrawl.dev/features/extract>\n2. **Join Our Community**\n   * Star us on [www.github.com/mendableai/firecrawl](http://www.github.com/mendableai/firecrawl) - we're open-source!\n   * Share your use cases and feedback.\n\nReady to turn web data into your competitive advantage? Get started in less than 5 minutes.\n\nGet your API key at [www.firecrawl.dev/app](http://www.firecrawl.dev/app)\n\n— Eric, Caleb, and Nick at Firecrawl 🔥",
        "url": "https://www.ycombinator.com/launches/Mcn-extract-by-firecrawl-get-structured-website-data-with-just-a-prompt",
        "votes": 14,
        "created_at": "2025-01-20T16:54:10.692Z"
      },
      {
        "id": 82563,
        "title": "Firecrawl 🔥: Open source crawling and scraping for AI-ready web data",
        "tagline": "The easiest way to connect web data to your AI apps",
        "body": "Hey everyone! We're Caleb, Nick, and Eric, the founders behind [Firecrawl](https://www.firecrawl.dev/) - an all-in-one developer platform for crawling & scraping web data for AI applications.\n\n**TLDR:** Firecrawl is an open source API that transforms any web data into a clean, LLM-ready format for RAG, agentic tasks, or training. Since launching in April we gained 8000 stars on GitHub ⭐️\n\n![uploaded image](/media/?type=post&id=82563&key=user_uploads/1045172/59b29329-b168-42b9-9642-0e11f99699de)\n\n\\\n**The Problem:** Our story began while building [Mendable.ai](http://Mendable.ai), one of the first managed RAG platforms used by companies like Coinbase, Snap, and MongoDB. We quickly discovered that web data was not only a popular source for AI applications but that its quality was crucial for successful deployments.\n\nBuilding a reliable stack that worked for almost any URL presented numerous challenges, and as we expanded, we encountered countless edge cases. While some great tools existed, none handled the entire process reliably. We envisioned an API that could take a URL, crawl its pages, and provide up-to-date, easy-to-use markdown.\n\nConversations with industry peers revealed that they were rebuilding similar infrastructure. This inspired us to create Firecrawl— a developer-friendly solution we wish we'd had from the start.\n\nWe launched a cloud offering over a weekend in April, and in just three months, we've garnered over 8,000 GitHub stars and empowered thousands of developers to transform web content into AI-ready data.\n\n**Our Solution:**\n\n![uploaded image](/media/?type=post&id=82563&key=user_uploads/1045172/14099b5d-73e8-4661-8ce4-65bb4623852f)\n\nOur open-source, developer-focused platform simplifies scraping & crawling for AI apps by handling:\n\n* Bypassing JavaScript rendering\n* Enriching metadata\n* Crawling without consistent sitemaps\n* Parallel scraping jobs\n* Hosting headless browsers and managing proxies\n* Bot blocking\n* Formatting LLM-friendly markdown\n\nWith Firecrawl, developers at companies like [Gamma](https://gamma.app/), [StackAI](https://www.stack-ai.com/), and [Zapier](https://zapier.com/) are delegating scraping to us so they can focus on their core tasks - be it RAG, agents, or data processing.\\\n\\\nNow scraping a whole website and retrieving the markdown is as simple as this:\n\n![uploaded image](/media/?type=post&id=82563&key=user_uploads/1045172/0c55112e-cd7a-4420-bd79-cbb07e4acaf3)\n\n**Our Asks:**\n\n* Give [Firecrawl](https://www.firecrawl.dev/) a try 🧑‍💻\n* Explore our [GitHub repository](https://github.com/mendableai/firecrawl) and consider leaving a star ⭐️\n* Drop me a line at [eric@firecrawl.com](mailto:eric@firecrawl.com) if you want to chat (we are super excited about collaborations) 🔥",
        "url": "https://www.ycombinator.com/launches/LTf-firecrawl-open-source-crawling-and-scraping-for-ai-ready-web-data",
        "votes": 60,
        "created_at": "2024-07-30T17:47:16.926Z"
      },
      {
        "id": 69730,
        "title": "🔍 Mendable - Embeddable chat powered search for your developer products",
        "tagline": "An easily embeddable search component that allows developers to search and chat, trained on your docs and resources. ",
        "body": "Hey YC!\n\nIt’s Garrett, Eric, Caleb, and Nick from SideGuide - Today we are launching Mendable, a chat-powered search tool embeddable in your docs, product, or community to answer developer questions and reduce their time to hello world. Check out our [live search demo with LangChain](https://hwchase17.github.io/langchainjs/docs/modules/indexes/document/) and shoot us a message at [garrett@sideguide.dev](mailto:garrett@sideguide.dev) if you want to chat! :)\n\n**Problem:**\n\nWe’ve spent over a year in the developer experience space, building tools to make the lives of founders and developer relations folks easier. During this journey, we learned developers have a hard time navigating documentation and understanding the capabilities of a product in an efficient way. In response, developer communities and support forums become overloaded with questions, and dropoffs and onboarding times grow.\n\n**Solution:**\n\nWe’re building [Mendable](https://www.mendable.ai/), a chat-powered search tool leveraging cutting edge LLM models to accelerate a developer’s time to hello world and improve developer experience. We ingest your company’s resources (documentation, support forums, community messages, etc.) and give developers custom responses to their questions with direct links to sources via a chat interface. This interface can be easily embedded anywhere via a javascript component or accessed via slack/discord, allowing our search to be put in your docs, product, community, or wherever else you see fit.\n\n**What does it look like?**\n\n![uploaded image](/media/?type=post&id=69730&key=user_uploads/1045324/4b531b27-de01-4e68-abea-2014a4088e8c)\n\n* **Continuous Improvements -** With our intuitive thumbs-up and down rating system and the ability for admins to edit answers, Mendable's search functionality continually learns and improves.\n* **Integrates Everywhere -** Mendable offers a chat-powered search bar to add anywhere in your docs or website. Support for Discord, Slack, Github, and more is coming soon.\n* **Resources Condensed** - Mendable’s generations are based on your resources - including docs, support Q/A, and community messages - condensed into powerful answers.\n\n**The ask:**\n\nInterested? Shoot us a message at [garrett@sideguide.dev](mailto:garrett@sideguide.dev) or schedule a meeting with us [here](https://calendly.com/garrett-sideguide)!",
        "url": "https://www.ycombinator.com/launches/I8g-mendable-embeddable-chat-powered-search-for-your-developer-products",
        "votes": 43,
        "created_at": "2023-02-27T21:51:26.203Z"
      },
      {
        "id": 65638,
        "title": "🚀 SideGuide - Let developers test-drive your API with an online editor",
        "tagline": "Embeddable code editors designed to show developers why your product rocks",
        "body": "Hi YC!\n\nIt’s Eric, Caleb, Nick, and Garrett from SideGuide - We are building a lightweight, embeddable, online code environment that lets developers play with your API use cases and tutorials with zero setup. Interested? Check out our [live example with Hyperbeam here](https://app.sideguide.dev/hyperbeam/threejs/) and shoot us a note at [founders@sideguide.dev](mailto:founders@sideguide.dev) to chat :)\n\n**Problem:**\n\nDuring college, we started SideGuide as a B2C coding education platform, where we watched hundreds of developers struggle to learn from API documentation, then waste hours re-inventing the wheel instead of using an off-the-shelf solution. We found that API and SDK documentation is often, to be frank, not engaging. This leads to an incomplete understanding of the implementation process and product value, resulting in lost sales. Basically, developers forget your product instead of falling in love with it.\n\nIt’s 2022, developers and technical PMs should be able to quickly play with the real code before investing time and money in a product. That is why we built SideGuide.\n\n**Solution:**\n\nWe are building SideGuide: a lightweight, embeddable, online code editor that lets developers play with your API without **setup.** Our format integrates guides directly into the editor, giving users the context they need to understand your use-cases while experimenting immediately. We give developers and technical PMs an easy way to test, understand and evaluate your products. As a bonus, we also provide analytics and insights from sessions so you can improve the implementation process and understand your customers.\n\n**What does it look like?**\n\n![uploaded image](/media/?type=post&id=65638&key=user_uploads/1045172/1e47388e-3f04-4540-b374-1d1bad6b1dc2)\n\n* **Fully interactive** - Our web-based sandbox makes it quick and easy for developers to try your examples out with minimal friction.\n* **Integrated tutorial - Step-by-step instructions for different sections of the code.**\n* **Trackable - See how users are interacting with your use-cases so you can identify avenues for improvement** \n* **Embed anywhere - Embed in your docs or send via link.**\n\nCheck out our updated website at <https://sideguide.dev> and the live example using Hyperbeam’s amazing API here: <https://app.sideguide.dev/hyperbeam/threejs/>\n\n**The Ask:**\n\nInterested? Shoot us a note at [founders@sideguide.dev](mailto:founders@sideguide.dev) or schedule a meeting with us [here](https://calendly.com/eric-ciarla)! We are looking for launch partners for demo day :)",
        "url": "https://www.ycombinator.com/launches/H4g-sideguide-let-developers-test-drive-your-api-with-an-online-editor",
        "votes": 217,
        "created_at": "2022-08-26T16:51:14.086Z"
      }
    ]
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    "id": 27153,
    "name": "UpLink",
    "slug": "uplink",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ea767a408cc57b55584c2042808e466cf2c64d6.png",
    "website": "https://www.uplinkapp.io",
    "all_locations": "Palm Beach Gardens, FL, USA; Washington, DC, USA; Remote",
    "long_description": "UpLink's founding team worked as auditors and software engineers at PwC where they saw firsthand how difficult it was to collect thousands of documents from clients.\r\n\r\nAlex Maher and Alex Grant met working on PwC’s big data analytics platform, scaling it from 0 to 20k users globally. Brady and Nick met while studying CS at a top 5 public university, but still insist they were self-taught. They were, by far, the top developers on Alex Maher’s team before starting UpLink. Together they ran Dycom's field systems segment, supporting 15k users.\r\n",
    "one_liner": "Document Collection Software for Accountants, Auditors, and Lawyers",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1654885686,
    "tags": [
      "Documents",
      "SaaS",
      "B2B",
      "Productivity",
      "Collaboration"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Acquired",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/uplink",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/uplink.json",
    "year_founded": 2021,
    "city": "Palm Beach Gardens",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/uplinkapp",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
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    "app_video_url": null,
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    "primary_partner": null,
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        "user_id": 1028618,
        "full_name": "Alexander Maher",
        "title": "Founder",
        "founder_bio": "Alex started his career at a Big 4 Accounting firm as a CPA doing mostly IT audits. After teaching himself to code, he switched into an internal role at the firm managing software development teams. \n\nHe left the accounting world in 2018 to become the Director of Software Development at a publicly traded telcom construction company. He worked there 4 years before leaving to start UpLink in May of 2022.\n\nAlex lives in Florida with his wife, Laura, and their two sons, Brooks (6) and Jack (2).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maher-alex/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f04399733a06aa4accd291a026bf4ef66b0d15c.jpg"
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      {
        "user_id": 1033897,
        "full_name": "Alexander Grant",
        "title": "Founder",
        "founder_bio": "Alex is a strong technical leader with a passion for software development. He specializes in the end-to-end software delivery cycle, from writing scalable and understandable code to complete full-stack automated testing. Highlights of his career thus far include scaling a data acquisition platform from a dozen users in the US to 20k users globally over the course of 2 years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexgrant14",
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      {
        "user_id": 420465,
        "full_name": "Brady Ochse",
        "title": "Founder",
        "founder_bio": "Brady has always been obsessed with figuring out how things work, and his curiosity led him to computers. When he discovered the magic of making a machine do something with just words, he found a lifelong passion.\n\nThat passion turned into disillusion when at a large company, but Brady realized software could be great with more emphasis on quality, the user, and thoughtful decision making. So, he left the corporate world to join people who share his love for building something truly great.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brady-ochse",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6774d94bcda9b5475b1cf4b41163a273a75eaa1.jpg"
      },
      {
        "user_id": 1033890,
        "full_name": "Nicholas Yarmesch",
        "title": "Founder",
        "founder_bio": "Ever since he can remember, Nick has been interested in technology. His idea of fun includes reading technical manuals for microcontrollers and reverse engineering the barcodes on Nespresso capsules.\n\nIn college, he built the hardware and developed the software to retrofit his 2002 Lexus with a secure receiver that unlocked his car when he approached wearing his Apple Watch.\n\nYou’re most likely to run into Nick in his blue Cayman on the trip between his house and Starbucks.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nick-yarmesch",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3700dc941c229df7e49eb70ffd4b245fe2497aa8.jpg"
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    "launches": [
      {
        "id": 64054,
        "title": "UpLink 📄 Manage Document Requests at Scale",
        "tagline": "UpLink helps professionals manage large volumes of document requests",
        "body": "### **What we do:**\n\nSimplify the process of managing document requests at scale.\n\n### **Who has this problem:**\n\n* Auditors (need hundreds of docs from each client)\n* Tax professionals (need lots of tax forms)\n* Lenders/Brokers (need dozens of docs from each loan applicant)\n* Certification programs (need docs from each applicant)\n* HR (need onboarding docs from new employees)\n\n### **How UpLink solves the problem:**\n\nUpLink is a SAAS application that associates a workflow (requested, in review, rejected, complete) with each request.\n\n![Workflow_V2.png](https://static.wixstatic.com/media/28ce1d_44995060299d4371966945698cf092e0~mv2.png/v1/fill/w_1255,h_245,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/Workflow_V2.png)\n\nThis workflow allows you to easily track the status of individual document requests across hundreds or thousands of projects.\n\n**Automatic Notifications:**\n\n![Notifications.png](https://static.wixstatic.com/media/28ce1d_bf43b94976c14c74ab1070b48f2587a8~mv2.png/v1/fill/w_850,h_473,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/Notifications.png)\n\n**Helpful Reminders:**\n\n![Reminders.png](https://static.wixstatic.com/media/28ce1d_70d53a764910420c8aeed0e2f1ee7b4b~mv2.png/v1/fill/w_850,h_473,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/Reminders.png)\n\n**Backstory:**\n\n2 of our co-founders were auditors at PwC and had this problem firsthand. It took years for PwC to finally build a custom solution to address this, but it’s a common problem and most companies (especially auditors) don’t have access to a decent solution.\n\n# **Try it out:**\n\n[Interactive demo](https://demo.uplinkapp.io) (no sign-up, in-browser)\n\n[Check out our site](https://www.uplinkapp.io)\n\nEmail me ([alex@uplinkapp.io](mailto:alex@uplinkapp.io)) for a personal demo, any questions, or if you’d like to introduce me to anyone you think would find UpLink valuable =)",
        "url": "https://www.ycombinator.com/launches/Gf8-uplink-manage-document-requests-at-scale",
        "votes": 23,
        "created_at": "2022-06-24T18:07:02.817Z"
      }
    ]
  },
  {
    "id": 27154,
    "name": "Superbar",
    "slug": "superbar",
    "former_names": [
      "Caddie",
      "Caddie AI",
      "Superbar (Formerly Caddie)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/00fd47f91143cc8393a67e9aa539ee075762df08.png",
    "website": "http://www.superbar.ai",
    "all_locations": "Toronto, ON, Canada; Remote",
    "long_description": "Superbar instantly answers questions on your website and drives conversions 24/7.
It's like having a top salesperson on every page.\r\n",
    "one_liner": "Sales AI for your Website",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1656364678,
    "tags": [
      "SaaS",
      "B2B",
      "Marketing",
      "Enterprise"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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      "Marketing"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/superbar",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/superbar.json",
    "year_founded": 2021,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/superbar-ai",
    "x_url": "https://twitter.com/trycaddie",
    "fb_url": "https://www.facebook.com/Caddie-110256095067498/",
    "cb_url": "https://www.crunchbase.com/organization/caddie-72ba",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/00fd47f91143cc8393a67e9aa539ee075762df08.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 26756,
        "full_name": "Alan Nowogrodski",
        "title": "Founder",
        "founder_bio": "Alan is the Founder and CEO of Superb. He previously was a Head of Product for the payments and mobile business at FreshBooks. He started as a PM and built the unit from $0 to $30M+ in annual revenue in under 5 years. Alan later joined NinjaCat as a VP of Product Management and member of the executive team. He took additional responsibilities as VP of Marketing and VP of Engineering Operations. \n\nHe started his career by building a web development company in the early 2000s while in high school.",
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        "linkedin_url": "https://www.linkedin.com/in/alannowogrodski/",
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    ],
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    "launches": [
      {
        "id": 64194,
        "title": "🚀 Caddie - Schedule Meetings & Qualify Inbound Leads",
        "tagline": "Automate your inbound lead qualification and book more meetings!",
        "body": "# Book More Demos from Your Website\n\n[Watch a Demo](https://youtu.be/72TtCntEkac)\n\n### 😄 **About Us** → Our Customers Were Pissed Off, So We Did Something About It\n\nIn our past life, Marshall and I led sales and marketing teams. More recently, we asked ourselves:\n\n* Why does conversion in B2B websites suck (from Visitor to a Demo Booked)?\n* Why do we keep hearing complains that customer just “want a F\\*&!ng demo!”?\n\nWe explored solutions to fix this and Caddie hit us in the face.\n\n### **🤬** Problem → Too Much Friction to Request a Demo\n\n* **Friction is Killing Leads** → 83% of interested buyers never make it to a demo because there are too many steps to get a demo.\n* **Speed Matters →** 74% of buyers purchase from the first company they see a demo from.\n* **Have SDRs do Qualification Calls? →** Adding an SDR qualification step leads to 30% drop-off in pipeline. In addition, they are expensive and hard to hire.\n\n## 🚀 Solution → Make It Easy to Schedule & Qualify\n\n* Build a personalized **demo** **scheduling experience.**\n* **Qualify inbound** leads by asking simple questions.\n* Using logic and point scoring, **route** to the right Account Exec.\n* Finally, allow qualified prospects to **schedule a demo** on the spot.\n\nTry a demo by going to [trycaddie.com](http://trycaddie.com)\n\n**Using Calendly? →** We allow you to qualify prospects before bad leads jam your calendar. In addition, we shorten your contact form by getting key insights from a database of 200M+ records so you don’t need to ask for “First Name”, “Company”, “# of employees”. The result is 50%+ more qualified leads than with Calendly.\n\n## 💰 The Impact → 2X More Demos, Faster Deal Speed, No Need for SDRs to Qualify Manually.\n\n* Book 2X more demos by removing friction.\n* Improve speed from lead to opportunity by 50% by cutting steps.\n* Have SDRs qualifying leads? → Cut $100,000s in costs.",
        "url": "https://www.ycombinator.com/launches/GhO-caddie-schedule-meetings-qualify-inbound-leads",
        "votes": 32,
        "created_at": "2022-06-29T20:32:47.116Z"
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    "id": 27155,
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    "one_liner": "Meeting notes and CRM, automated",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Ted Chai",
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        "founder_bio": "Investor at Scale Venture Partners, former founder of Sonnet, CoS at Recall.ai",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/tedchai/",
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      {
        "user_id": 1015992,
        "full_name": "Dylan Feng",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO at Sonnet. Currently doing AI Alignment/Safety research. Previously at OpenAI and Center for Human-Compatible AI. I play sports, watch Youtube, and waste time during my free time. I'm also a big fan of the game Sea of Thieves, so let me know if you play!",
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        "linkedin_url": "https://linkedin.com/in/dylan-feng",
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      {
        "id": 79677,
        "title": "Sonnet: Bot-free meeting notetaker + automated CRM",
        "tagline": "Notes, context, and insights, across all your meetings. ",
        "body": "Hey 👋 We’re [**Ted Chai**](https://www.linkedin.com/in/tedchai/) and [**Dylan Feng**](https://linkedin.com/in/dylan-feng) from [**Sonnet**](https://sonnetai.com/)**!**\n\n**TLDR:** No one likes taking meeting notes or updating CRMs. Sonnet automates the entire process for you.\n\n### **Problem**\n\nWe all know the best practices for taking meetings: research the participants before the call, take notes, send a follow up email, update your CRM—but we usually don’t do any of it. These tasks are important but tedious.\n\n### **Solution**\n\nSonnet uses AI to do all your meeting work that can be automated (note taking, follow-up emails, CRM) and brings you all the information you need for tasks that can’t (pre-meeting research, meeting reminders).\n\n![uploaded image](/media/?type=post&id=79677&key=user_uploads/912744/2082970c-374f-49d2-9960-a4daeea7ee47)\n\n### **How is this different?**\n\n* Sonnet speeds up your pre-meeting research and post-meeting follow-ups, not just your during-meeting note-taking.\n* Meeting bots are distracting; Sonnet records without one.\n* Sonnet has a built-in CRM, auto-updated with your conversation data.\n* Existing AI notes tend to be too broad to replace human notetaking. You can instruct Sonnet on what to focus on, so it always captures the info you care about.\n\n![uploaded image](/media/?type=post&id=79677&key=user_uploads/912744/47fe97ec-f77c-49af-afaa-51fd66392b6e)\n\n### **The Team**\n\nTed and Dylan were college roommates at UC Berkeley before starting Sonnet. Ted left college early and has previously worked at Uber and the U.S. Department of State. Dylan graduated in 2 years and has conducted AI research at BAIR.\n\n![uploaded image](/media/?type=post&id=79677&key=user_uploads/912744/b0f1c3c6-7849-4014-b162-b9b84021a5ae)\n\n### **Our Ask**\n\nGive it a try! Sonnet is [**free to get started**](https://sonnetai.com/) and available to download today. We’d love to hear your feedback.",
        "url": "https://www.ycombinator.com/launches/Kj7-sonnet-bot-free-meeting-notetaker-automated-crm",
        "votes": 10,
        "created_at": "2024-03-25T17:18:00.332Z"
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    "website": "https://uselevers.com/",
    "all_locations": "Jeddah, Makkah Province, Saudi Arabia",
    "long_description": "Levers is an accounts receivable management SaaS that helps B2B companies reduce overdue payments, accelerate cash collection, and boost cashflow. Our software integrates with your accounting system and streamlines your AR process using personalized reminders, cross-team collaboration tools, collection performance analytics, and more.\r\n",
    "one_liner": "Automating collection and boosting cashflow for B2B companies",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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    "nonprofit": false,
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    "status": "Active",
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    "year_founded": 2022,
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    "country": "SA",
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        "full_name": "Ammar Alkhouli",
        "title": "Founder",
        "founder_bio": "Co-founder at Levers. Prior to that, I spent ~3 years working at a $500m VC fund in MENA. As one of the first hires, I wore many hats beyond investment and portfolio work including strategy, compliance, financial reporting, marketing, and HRM. I received my Bachelor's in Mathematics and Philosophy from Yale. \n\nI am a tinkerer at heart and love to seek out new experiences. I feel most at home by the sea, so you'll often find me looking for new diving spots, fishing, or trying to catch some waves",
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        "full_name": "Motasim Zawawi",
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    "name": "Jasmine Energy",
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    "all_locations": "Washington, DC, USA; Remote",
    "long_description": "Jasmine makes it easy to register, sell, finance, and retire RECs (renewable energy certificates). Our AI can \"read\" unstructured data (CRM notes, PDFs, images, etc) and use that information to complete webforms and filing document. This takes previously manual error prone process and makes it automatic and self-healing. ",
    "one_liner": "Claim solar incentives with AI",
    "team_size": 5,
    "industry": "B2B",
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        "user_id": 996753,
        "full_name": "Nathalie Capati",
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        "full_name": "Dalton Combs",
        "title": "Founder/CPO",
        "founder_bio": "Minds, Machines, Markets",
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        "full_name": "Matt Mayberry",
        "title": "Founder",
        "founder_bio": "on a relentless mission to see what man can make of man 🏴‍☠️",
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      {
        "id": 65777,
        "title": "Jasmine Energy — Claim Solar Incentives with AI ☀️",
        "tagline": "Jasmine automates common and confusing workflows, helping solar owners get paid!",
        "body": "Hi YC!  👋\n\nWe’re Nathalie, Dalton, and Matt from Jasmine Energy.  Today we are proud to launch our latest AI tool to help solar owners claim their incentives.\n\nThe U.S. solar market is booming. It took 50 years to reach 5 million installations—now that number will double to 10 million in just six. 97% of these are on residential and commercial rooftops, yet over 1.7 million homes are missing out on valuable Renewable Energy Certificate (REC) income. Why? Because REC (Renewable Energy Certificate) management is still manual, confusing, and built for utilities—not everyday solar owners. Jasmine Energy changes that. Our AI-powered asset manager puts registration, compliance, and sales on autopilot, making it easy to turn solar generation into recurring income—with just a few clicks.\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/1c122467-5767-4a4e-b073-e88acd17faf4)\n\n**TL;DR: Jasmine is the first end-to-end REC management platform built for residential and commercial solar. We automate common and confusing workflows—helping solar owners get paid extra for generating clean energy.** \n\n### **The Problem**\n\n**Claiming RECs requires too much overhead for small or independent developers. (it works fine for the utility scale developers who designed it)**\n\nResidential and commercial solar generators lose time and money navigating an outdated, fragmented system for managing Renewable Energy Certificates (RECs).\n\nThe industry still relies on paper, pens, and people. There’s no single source of truth, no standardized documentation, and no digital infrastructure to support efficient operations.\n\n* **Complex registry compliance:** Each generator must register with one of several regional tracking systems, all with different rules, document requirements, and verification steps.\n* **Manual data reporting:** Uploading generation data, proving eligibility, and submitting documents are tedious, inconsistent, and prone to error.\n* **Inefficient monetization:** Selling RECs means navigating opaque markets, unclear pricing, and a maze of disconnected brokers and buyers—without a unified platform.\n\n### **Our Solution – AI-Powered Automation for the Solar Industry**\n\n**Use AI to “read” details from PDFs and to interact with legacy government websites.** \n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/c7d2bd40-b6eb-4064-b70f-120b3eeb1ea9)\n\nJasmine replaces the outdated, paper-based REC management process with an AI-powered platform purpose-built for residential and commercial solar generators.\n\nOur asset manager brings structure, standardization, and automation to an industry still running on spreadsheets and guesswork:\n\n* **Automated registration:** Jasmine handles the full lifecycle of registration, reporting, and verification across all major tracking systems—no paperwork, no confusion.\n* **Instant data processing:** Our AI ingests, validates, and submits generation data directly from inverters or utility portals to ensure RECs are accurately and efficiently issued.\n* **Transparent payouts:** Track your REC sales in real time and get paid faster, with full visibility into pricing, status, and transaction history.\n\nJasmine turns a fragmented, manual process into a seamless, digital experience—so solar owners can focus on generating power, not paperwork.\n\n### **Key Features**\n\n📝 **Automated Asset Registration** – Jasmine handles onboarding your residential or commercial solar system into the appropriate REC tracking registry, eliminating paperwork and manual errors.\n\n✅ **AI-Powered Data Validation** – Our platform connects to your inverter or utility portal to automatically validate and submit generation data in real time—ensuring fast, compliant REC issuance.\n\n📈 **Transparent Reporting & Analytics** – Get a clean, centralized view of your REC portfolio: generation history, earnings, sale status, and payout timelines—all in one dashboard.\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/e3f34226-de05-4e49-a60f-b4b95d079cfc)\n\n### **Market Opportunity**\n\n* **5M+ solar systems in the U.S.** eligible for REC sales.\n* **$5B+ annual REC market** that is growing as corporations push for sustainability goals.\n* **85% of small-scale generators** don’t currently monetize their RECs due to complexity.\n\n### **Who We Are For**\n\n🏠 **Home Solar Owners** \\\nEarn passive income from your rooftop solar—no spreadsheets, no stress. Jasmine fully automates REC registration, reporting, and sales so you can **get paid fast** for the clean energy you’re already producing.\n\n🏢 \\*\\*Commercial Developers & Independent Power Producers (IPPs)\\*\\*\\\nManage RECs across portfolios of solar assets with zero friction. Jasmine scales with your business—automating multi-site registration, streamlining compliance, and optimizing REC monetization from start to finish.\n\n🤝 **Third Party Owners & Origination Teams** \\\nThird Party Owners (TPOs) own many thousands of small solar generators. Each site has the compliance overhead as a single utility scale facility. Jasmine helps  third party owners seamlessly register and track hundreds or even thousands of small distributed generators quickly and accurately.\n\n### **Our Ask**\n\n**If you have solar:**  \\\nUse the product!  You can upload your solar documents and claim your incentives TODAY -> <https://assets.jasmine.energy> \n\n**If you don't have solar:**  \\\nIntroductions: Know a homeowner, business with solar, or a local solar installer? Refer them to Jasmine! Here’s a quick blurb you can share: \n\n_\"Jasmine Energy automates Renewable Energy Certificate (REC) management for residential and commercial solar. We handle registration, compliance, and REC sales using AI-powered automation—so solar owners can earn passive income without lifting a finger.\"_\n\n_📧:  _[_nathalie@jasmine.energy_](mailto:nathalie@jasmine.energy)\n\n🔗 [jasmine.energy](http://jasmine.energy)\n\nJoin us in simplifying and scaling REC management for the clean energy transition. 🚀\n\n**Nathalie, Dalton, and Matt**\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/8d311047-fc85-4a85-9015-f05db3eb3b4f)\n\n",
        "url": "https://www.ycombinator.com/launches/H6v-jasmine-energy-claim-solar-incentives-with-ai",
        "votes": 41,
        "created_at": "2025-04-06T16:21:38.000Z"
      },
      {
        "id": 73943,
        "title": "Jasmine Energy:  Realtime climate asset trading",
        "tagline": "The easiest way to make your company 100% powered by renewables",
        "body": "**TL;DR:** Jasmine makes it easy to claim, buy, and sell renewable energy certificates.\n\nHi Everyone! [Nathalie](https://www.linkedin.com/in/nathaliecapati-energy/), [Dalton](https://www.linkedin.com/in/tdaltonc/), and [Matt](https://linkedin.com/in/matthewmayberry) here to (re)introduce [**Jasmine Energy**](https://jasmine.energy/) 🔋\n\nOn Jasmine, anyone can claim, sell, buy, and retire [energy attributes](https://en.wikipedia.org/wiki/Energy_certificate) directly.\n\nEnergy attribute certificates (EACs) (sometimes called Renewable Energy Certificates (RECs)  are a $10B market that is stuck in a time capsule from the fax machine era. Today's EAC market is confusing and time-consuming, taking weeks to register and days to trade.\\\n\\\nWe are on a mission to accelerate the net-zero transition by building climate asset markets that are accessible, transparent, and efficient.\n\n**💢 The Problem**\n\nRECs are a valuable source of revenue for renewable energy generators and are worth up to $500/MWh! The problem is EACs are still traded using phone calls and fax machines. The whole process is confusing and time-consuming, taking weeks to register and days to trade. Middlemen currently keep up to 30% of trade value. \n\n![uploaded image](/media/?type=post&id=73943&key=user_uploads/89898/29c68bd5-72fe-4072-86fc-e6d3b32cc819)\n\n**🤝 The Solution**\n\nOn Jasmine, anyone can buy and sell EACs at a posted price, permissionless, with settlement in seconds.  \n\nJasmine helps users manage their renewable energy assets by bridging RECs onto the blockchain and enabling DeFi transactions that are impossible in the existing markets. When a tokenized EAC is retired, Jasmine handles regulatory filings and auditing (filing paperwork, making phone calls, etc).\n\nJasmine provides the infrastructure to make every step of the buy and sell side process more efficient and transparent, allowing renewable energy generators to make more money, enabling commercial buyers to have a verifiable audit trail of their energy consumption, and giving energy traders the tools to operate more efficiently.\n\n![uploaded image](/media/?type=post&id=73943&key=user_uploads/89898/1700472b-a8b3-49b3-8eac-f0bb4076432b)\n\n**♻️ How does this directly help the climate?**\n\nUnder business as usual, we're not going to build enough global clean energy capacity to hit our 2050 goal of (1) electrifying the economy, (2) decarbonizing the electricity grid, and (3) improving people's quality of life by expanding access to affordable electricity. \n\nA more liquid EAC market will make renewable energy projects less risky to finance, attracting new investors to accelerate the grid’s decarbonization.  We’re bringing those EACs onto the blockchain not just for the transparency and liquidity benefits, but also because DeFi will quickly generate the financial derivatives to further incentivize project financing.\n\n🙏🏻 **Asks**\n\n* Engage with us on [ProductHunt](https://www.producthunt.com/posts/jasmine-energy) today! 🐱\n* Use RECs to make your company 100% renewable\n* Intro us to large generators and/or large buyers\n  * Utility and nonutility generators (NUGs)\n  * Renewable energy builders\n  * Climate asset traders & brokers\n  * Builders in the climate and crypto space\n  * ESG offices & officers\n\n**Come join our communities and use our dApp**\\\n\\\nHomepage:  <https://jasmine.energy>\\\nDiscord: <http://discord.gg/qsumZWzkC5> \\\nTwitter: <https://twitter.com/jasmine_energy>",
        "url": "https://www.ycombinator.com/launches/JEd-jasmine-energy-realtime-climate-asset-trading",
        "votes": 17,
        "created_at": "2023-08-09T14:46:29.021Z"
      }
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  },
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    "id": 27162,
    "name": "Oneleet",
    "slug": "oneleet",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35b93ab2671a1397037aa92e0703d5f6c2ec0fba.png",
    "website": "https://www.oneleet.com/?utm_source=yc&utm_medium=bookface",
    "all_locations": "Amsterdam, NH, Netherlands",
    "long_description": "Oneleet helps companies become secure and compliant through an all-in-one solution that combines automated tools and human expertise.\r\n\r\nOneleet has built the second generation of security compliance automation software, providing tools that go beyond what is classically provided for just compliance alone. Tools like a code security scanner, attack-surface management, access reviews and trust portal are all built in.\r\n\r\nAs the most popular, highest rated and most frequently used platform in the YC community, Oneleet has quickly established itself as the preferred and superior alternative to other incumbents.\r\n\r\nThe founder behind Oneleet has spent the past 10+ years helping companies become more secure by performing penetration tests.",
    "one_liner": "YC's most popular security compliance platform (SOC 2, ISO 27001,…",
    "team_size": 75,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1657281241,
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      "B2B",
      "Compliance",
      "Security",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/oneleet",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/oneleet.json",
    "year_founded": 2022,
    "city": "Amsterdam",
    "country": "NL",
    "linkedin_url": "https://linkedin.com/company/oneleet",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 233375,
        "full_name": "Bryan Onel",
        "title": "Founder",
        "founder_bio": "Penetration Tester with 10+ years of experience helping companies become more secure by simulating advanced attacks. Has experience leading security teams and architecting offensive and defensive security solutions.\n\nBefore pursuing a career in hacking, Bryan studied AI and Medicine.",
        "is_active": true,
        "linkedin_url": "https://nl.linkedin.com/in/bryan-onel/",
        "x_url": "https://twitter.com/bryanonel86",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c0799c948a5d9d9a59974cd6427476817e4a497.jpg"
      },
      {
        "user_id": 968809,
        "full_name": "Ora Onel",
        "title": "Founder",
        "founder_bio": "I have a background in medical genetics. I developed a passion for cybersecurity and decided to start a security company together with my husband.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ora-touitou/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2cc3ca2245b2980e81032f7787eb8e81ce60c8b.jpg"
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    ],
    "jobs": [
      {
        "id": 91603,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/1vpHh5M-senior-product-designer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$120K - $190K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91970,
        "title": "Community Event & Engagement Manager - San Francisco, CA",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/CMtrf5F-community-event-engagement-manager-san-francisco-ca",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97504,
        "title": "Product Manager",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/YXCqogN-product-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$130K - $180K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97508,
        "title": "Security Program Manager",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/umdbAFP-security-program-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$75K - $140K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97509,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/eJbx6wR-senior-product-designer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$130K - $165K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97510,
        "title": "Fullstack Engineer, AI Implementation",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/LIybTCA-fullstack-engineer-ai-implementation",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97511,
        "title": "Application Security Engineer",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/qKwsUvP-application-security-engineer",
        "location": "US / GB / NL / Remote (US; GB; NL)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97512,
        "title": "Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/oR8tXgm-fullstack-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "Oneleet raises $33M to shake up the world of security compliance | TechCrunch",
        "url": "https://techcrunch.com/2025/10/02/oneleet-raises-33m-to-shake-up-the-world-of-security-compliance/",
        "date": "Oct 02, 2025"
      }
    ],
    "launches": [
      {
        "id": 84326,
        "title": "Oneleet - Compliance without Security Theater",
        "tagline": "The all-in-one Security and Compliance platform for SOC 2, ISO, HIPAA, and more.",
        "body": "![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/6e14f2e5-0ed9-4b12-98f8-e194071f08d4)\n\n# **What is Oneleet in a nutshell?**\n\n[Oneleet](https://www.oneleet.com/) helps companies build genuine security and achieve compliance without the usual security theater BS.\n\nWe provide a comprehensive all-in-one solution for SOC 2, ISO 27001, HIPAA, GDPR, & PCI compliance, including automation, penetration testing, audit support, and continuous monitoring.\n\nOur hands-on approach and in-house security expertise have quickly made us the #1 choice for compliance in the YC community.\n\n[Book a call with us if you’re in the market for compliance](https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction?preview_source=et_card)\n\nㅤ\n\n# **Why We Built Oneleet**\n\nHey! I’m Bryan Onel, the CEO of Oneleet. I co-founded Oneleet with my wife, Ora Onel, and my best friend, Erik Vogelzang, with one mission: to help startups build genuine security without the nonsense.\n\nAfter spending a decade as a penetration tester and security program manager, I grew frustrated with platforms that claimed to help with compliance but were really just about ticking boxes. They weren't helping businesses _become_ secure—they were just pretending.\n\nThat’s why we built Oneleet: to be the solution that truly focuses on security, not just compliance theater.\n\nㅤ\n\n# **The Problem**\n\nLet's be honest… most compliance platforms are all about security theater:\n\n* Ticking boxes instead of building actual security, making you waste time on useless things that are irrelevant to security\n* Dumping checklists on you and wishing you good luck\n* Making you juggle countless tools and vendors\n* Leaving you to deal with external auditors who don't understand real security\n* Hitting you with unpredictable pricing that keeps changing\n\nㅤ\n\n# **Our Solution**\n\n![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/e8d1a05a-7731-463b-97f6-6dad7407b58e)\n\nOneleet is here to change the game:\n\n* We build real-world security controls that actually protect your business\n* We take ownership of the entire process, from start to finish\n* We provide everything you need in one place, no vendor juggling required. Even code scanning and attack surface management are built in\n* We deal with external auditors, so you don't have to, speaking their language when needed\n* We act as an extension of your team, providing ongoing expert security help\n\nㅤ\n\n# **How It Works**\n\n1. **Scoping** – We assess your infrastructure, security concerns, and compliance needs\n2. **Custom Program** – We craft security that fits your size and needs\n3. **Expert Setup** – Our team of security and compliance experts guides you through implementation minus the jargon\n4. **Penetration Testing** – OSCE-certified experts find your weak spots\n5. **Compliance Automation** – We streamline SOC 2, ISO 27001, HIPAA, and more\n6. **Auditor Wrangling** – We battle incompetent external auditors so you don't have to\n7. **24/7 Protection** – Continuous monitoring keeps you secure, always\n\nㅤ\n\n# **What We Offer**\n\n![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/ddd8e80c-171f-45c2-a7bb-ce6baba122f5)\n\n* Compliance automation that actually works (SOC 2, ISO 27001, HIPAA, GDPR, & PCI)\n* OSCE-certified penetration testing\n* Third-party auditing with external auditors who get security\n* vCISO services\n* Employee Portal\n* Code security scanning\n* Attack surface monitoring\n* Mobile Device Management (MDM)\n\nㅤ\n\n## **Ready to Ditch Security Theater?**\n\nIf you're tired of pretending to be secure and want the real deal:\n\n* Book a call: https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction\n* Email us: [founders@oneleet.com](mailto:founders@oneleet.com)\n\nStuck with another platform? We can often help you get out of a contract and migrate everything to Oneleet. [Book a call with us to explore your options.](https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction)",
        "url": "https://www.ycombinator.com/launches/Lw6-oneleet-compliance-without-security-theater",
        "votes": 2097,
        "created_at": "2024-09-26T21:17:12.076Z"
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    "id": 27164,
    "name": "autone",
    "slug": "autone",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1265ce908f9437a3001af3e36bdbbfd9a00821ca.png",
    "website": "https://autone.io",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Today, Retailers have to make 1000s of complex operational decisions every day, all impacting their bottom line.This problem is being currently tackled with excel or legacy systems, both no longer fit for purpose.\r\n\r\nWe make a platform that lets retailers make optimal decisions, easily and quickly. We ingest a retailer's data, generate recommendations and then allow users to approve a given action. Our platform covers topics including product pricing, inventory replenishment and re-ordering with the goal of covering all operational processes.",
    "one_liner": "Inventory management SaaS for Retail & Consumer brands",
    "team_size": 70,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1657122917,
    "tags": [
      "Sustainable Fashion",
      "Consumer",
      "Supply Chain",
      "Retail"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/autone",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/autone.json",
    "year_founded": 2021,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/hello-autone/",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 977644,
        "full_name": "Adil Bouhdadi",
        "title": "Founder",
        "founder_bio": "Over his career, Adil has worked within the retail industry across leading luxury fashion companies in Paris, New York, and London. In 2020, he co-founded Autone to help retail & consumer goods businesses scale their performances by accurately understanding, planning and forecasting their sales & operation flows.\nIn his free time, Adil enjoys exploring Italy on the weekend, visiting family in Marrakech,\nor traveling around Europe.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adilbouhdadi/",
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    "jobs": [],
    "news": [
      {
        "title": "autone secures £13 Million Series A Investment led by General Catalyst – UK Tech Investment News by Deal Lite",
        "url": "https://www.uktechnews.info/2024/10/16/autone-secures-13-million-series-a-investment-led-by-general-catalyst/",
        "date": "Oct 15, 2024"
      },
      {
        "title": "UK’s autone raises €4.2M to maximise business growth by turning data into decisions | Silicon Canals",
        "url": "https://siliconcanals.com/crowdfunding/autone-raises-4-2m/",
        "date": "Oct 06, 2023"
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    ],
    "launches": [
      {
        "id": 64373,
        "title": "Autone🔮 the Sales & Operations planning platform for retailers",
        "tagline": "Helping retailers make better operational decisions",
        "body": "Hello YC 👋🏼\\\nWe’re [Adil](https://bookface.ycombinator.com/user/977644) and [Harry](https://bookface.ycombinator.com/user/951330), co-founders of [Autone](https://bookface.ycombinator.com/company/27164)!\n\nAutone’s platform empowers Retail & CPG companies with precise predictions on their supply and demand, so they can **grow,** save money, **eliminate waste** and free up time to focus on their business.\n\n**Problem**\n\nToday, Retailers have to make 1000s of **complex operational decisions** every day, all impacting their **cash flow management, and profit margin**. This problem is being currently tackled with countless spreadsheets or legacy systems, no longer fit for purpose.\n\n**Solution**\n\nOur platform allows business users to make **optimal decisions, easily and quickly**. Autone acts as an intelligence layer on top of the company’s existing infrastructure, turning data into decisions at lightning speed.\n\n**Why we’ve built Autone?**\n\nAfter successfully growing McQueen's business, we kept getting requests from old colleagues to help them, at the new companies they have joined, solve the same problems. We quickly understood that this was a **pattern across the industry**, so we decided to solve these inefficiencies.\n\n**Let’s get in touch!**\n\nWe always love to get feedback from all kinds of users, so if you would like to test our product, please send us an email at [founders@autone.io](mailto:founders@autone.io) or by clicking [here](https://calendly.com/autone-support/autone-discover-more?month=2022-07) 🙂\\\nIf you need some customers in the retail space, we’ll be more than happy to put you in touch with our network.\n\nThank you ✌🏼",
        "url": "https://www.ycombinator.com/launches/GkH-autone-the-sales-operations-planning-platform-for-retailers",
        "votes": 16,
        "created_at": "2022-07-06T15:54:45.259Z"
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    "id": 27166,
    "name": "Wondercraft",
    "slug": "wondercraft",
    "former_names": [
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    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/42f387b44ccbfe794a96fd7877c9a7818766a06d.png",
    "website": "https://wondercraft.ai/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Wondercraft introduces vibe creation, creating video through natural conversation.",
    "one_liner": "Create video by chatting to AI",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1659074281,
    "tags": [
      "SaaS",
      "B2B",
      "Podcasts",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/wondercraft",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/wondercraft.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/wondercraft-ai/",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
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        "user_id": 725995,
        "full_name": "Youssef Rizk",
        "title": "Founder",
        "founder_bio": "Youssef co-founded Wondercraft after a 4 year stint at Palantir as a software engineer, where amongst other things, he led Palantir's startup practice, and met his co-founder, Dimi. Before Palantir, Youssef obtained an MEng from Imperial College London in EEE.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/youssef-rizk-397b19107",
        "x_url": "https://twitter.com/youssefarizk",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0511bffdeb8b4d1ad42a2b53763f5992d38ed09.jpg"
      },
      {
        "user_id": 1010390,
        "full_name": "Dimitris Nikolaou",
        "title": "Founder",
        "founder_bio": "Dimitris co-founded Wondercraft after spending 4 years as an engineer at Palantir, where he also met Youssef. Before that, he graduated with an MSc in CS from Imperial. During studies, he did a few internships as a Data Scientist and at a Hedge Fund. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dimitris-nikolaou-29753080/",
        "x_url": "https://twitter.com/dimireadsthings",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0636737dc5f948c5020c5143651d89db4ed175c.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Wondercraft raises $3 million Seed funding for the 'Canva of audio' - Tech.eu",
        "url": "https://tech.eu/2024/01/29/wondercraft-raises/",
        "date": "Jan 29, 2024"
      },
      {
        "title": "Wondercraft: Audio AI Startup Raises $3 Million in Seed Funding",
        "url": "https://www.businessinsider.com/wondercraft-audio-ai-startup-raises-3-million-in-seed-funding-2024-1",
        "date": "Jan 29, 2024"
      },
      {
        "title": "Wondercraft raises $3m to build AI-powered Audio Studio",
        "url": "https://www.wondercraft.ai/blog/wondercraft-launches-audio-studio",
        "date": "Jan 29, 2024"
      }
    ],
    "launches": [
      {
        "id": 71541,
        "title": "🎙 Wondercraft - Create studio-quality podcasts in seconds",
        "tagline": "We enable anyone to create studio-quality podcasts in seconds using AI-powered text-to-speech technology.",
        "body": "**_Tl;dr:_** _Wondercraft leverages AI to simplify podcast creation. Tell us the name of your podcast and what you want to talk about in this episode and we’ll generate a podcast for you in seconds. Add your own music, voices, and make sure it’s just right for your use-case. Whether you're a seasoned podcaster or new to the game, _[_Wondercraft_](https://www.wondercraft.ai/)_ makes it easy to create engaging content._ _Curious how it sounds? Check out the [_Hacker News Recap_](https://www.buzzsprout.com/2170103)._\\\n[_CHECK OUT DEMO_](https://youtu.be/0VYh2TFYVCY)\n\nHey there, we are Dimitris and Youssef, co-founders of Wondercraft. Our mission is to empower podcast creators with cutting-edge AI technology, making podcasting accessible to anyone.\n\n### **🧨 The Problem: Podcasting can be time-consuming and challenging**\n\nCreating high-quality podcasts is not easy, and finding the right voice for your content can be a struggle. Moreover, recording your own voice can be time-consuming, and outsourcing it can be costly.\n\n### **🎉 The Solution: AI-Powered Text to Speech Technology for effortless Podcast Creation**\n\nWondercraft is redefining podcast creation with AI-powered text-to-speech technology. Our virtual studio seamlessly translates your content ideas into an engaging script, brought to life by a spectrum of realistic AI voices. For a more intimate connection with your audience, you can even utilize a clone of your own voice. Complementing the narrative, you can layer-in music and sound effects for a richer listening experience. And the best part? Publication to podcast platforms is a breeze - execute it all directly from our integrated platform.\n\n### **🔦 Use Cases: Business marketing, newsbites and more**\n\nCrafting marketing podcasts for businesses, transforming blog posts into auditory experiences, and producing quick newsbite podcasts for various publications are just a few of the exciting uses for our platform that we're currently seeing. Even podcast studios are loving this as an accelerant to their current work. **A standout success story** has been the [Hacker News Recap podcast](https://hackernewsrecap.buzzsprout.com/). This daily digest, reviewing the top 10 posts on Hacker News, is created entirely through Wondercraft's automated tools. Impressively, in just 1 month, it climbed into the [top 40 tech podcasts chart on Spotify](https://www.wondercraft.ai/post/ai-podcast-enters-top-50-in-28-days).\n\n![uploaded image](/media/?type=post&id=71541&key=user_uploads/1010390/0578d4af-68b2-4a03-8930-1fca74a0c5af)\n\n\\\n**💲Opportunity: The Exciting Future of Podcasting**\n\nPodcasting is on the brink of a big change. AI tools are making it easier than ever to start your own podcast and connect with your audience.\n\nWhat's more, we see a future where podcasts are tailor-made for every listener. With AI making the audio, the only hurdle left is picking the content - a challenge that many have already mastered. Want to learn more? Reach out to [team@wondercraft.ai](mailto:team@wondercraft.ai).",
        "url": "https://www.ycombinator.com/launches/Ibt-wondercraft-create-studio-quality-podcasts-in-seconds",
        "votes": 17,
        "created_at": "2023-05-12T16:18:07.685Z"
      },
      {
        "id": 65039,
        "title": "Moonshot - Angel Investing in athletes  🏈🎾⚽️🏀🚀",
        "tagline": "Support you favourite athlete early on, share some of their future success",
        "body": "**tl;dr** 🏈🎾⚽️🏀\n\nWith Moonshot you can angel invest in athletes. We enable promising athletes to fund their professional journey with the help of a community of backers, in exchange for a portion of their earnings when they make it.\n\nHey everyone! We’re [Youssef](https://www.linkedin.com/in/youssef-rizk-397b19107/) and [Dimitris](https://www.linkedin.com/in/dimitris-nikolaou-29753080/), co-founders of Moonshot. We met working at Palantir as software engineers and recently left to build on a mission that is near and dear to our hearts.\n\n![uploaded image](/media/?type=post&id=65039&key=user_uploads/1010390/8bc31829-f3dc-4348-8582-2f85da5d3501)\n\n**What’s the problem?**\n\n**Becoming a professional athlete is expensive and risky.** Professional tennis players spend more than $100,000 annually to finance tournament fees, travel, accommodation, coaching, etc, which is prohibitive for most mere mortals. As a result, only those privileged enough to sustain this deficit can really make it in the sport. This is a real problem for those with underprivileged backgrounds, but don’t just take our word for it, take Hollywood’s. [The Blind Side](https://www.imdb.com/title/tt0878804/) (true story) and [Hustle](https://www.imdb.com/title/tt8009428/) capture this essence in their storylines.\n\n**How do we solve this? We bring supporters to the rescue**\n\nBack your favourite up-and-coming athlete by investing in their career! When they make it big, you’ll have secured the ultimate bragging rights, and you’ll make a nice return on your investment in the form of a cut (think \\~5-10%) on their future earnings.\n\nAthletes get the money they need to continue their professional career. Backers get to meaningfully support their favourites and a significant financial stake in their success. Win win.\n\n**Some concrete use cases we’ve come across**\n\n1. Individual sports (Tennis, Golf and Motorsports) - capital may act as a catalyst, by providing the opportunity to fund competition participation and better coaching.\n2. Team sports (Basketball and Football) - capital may act as an insurance policy. A college athlete can capitalise on the potential of a future large contracts in the NBA or NFL.\n3. In most sports, there are one-off career changing events - think of preparation for the NFL Draft Combine, or making a run for the Olympics. Capital may act as a bridge in order for the athlete to reach peak level at the time of the event.\n\n**Want to contribute**\n\n1. Sign up to our backers [waitlist](https://moonshot.li/). We’re launching in September and spots are limited (250).\n2. Know athletes who could benefit from Moonshot? Refer them to [info@moonshot.li](mailto:info@moonshot.li) and get a talent referral bonus if they sign up!\n3. Know backers who’d passionately love to invest in a sport? Refer them to [info@moonshot.li](mailto:info@moonshot.li) and get a backer referral bonus.\n4. Follow us on [LinkedIn](https://www.linkedin.com/company/86677997), [Instagram](https://www.instagram.com/moonshotli/) and [Twitter](https://twitter.com/moonshot_li)!\n\n**quick blurb to copy & paste**: Check out this YC company that is building a platform that allows you to support your favourite up and coming athlete by investing in their career. [This](http://www.moonshot.li/) is their website - contact [founders@moonshot.li](mailto:founders@moonshot.li) for more.",
        "url": "https://www.ycombinator.com/launches/Gv1-moonshot-angel-investing-in-athletes",
        "votes": 107,
        "created_at": "2022-08-01T14:25:50.808Z"
      }
    ]
  },
  {
    "id": 27167,
    "name": "Blockscope",
    "slug": "blockscope",
    "former_names": [
      "https://www.blockscope.co/"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b82c758ebac11667f3da0075088a57d8d7852c8.png",
    "website": "https://www.blockscope.co/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Blockscope is a Web3 data platform that enables anyone interested in on-chain data to quickly spin up live or historical data pipelines (for blocks, event, transaction, wallets, token, NFTs, etc). Similar to AWS, users have access to variety of managed software services to analyze, interact with or inject captured data into their apps.\r\n\r\nOur platform is built around the core idea of off-loading the on-chain data that our customers need for their Web3 apps, and reliably storing them for quick access/use.\r\n\r\nWe offer products on top of the core data we index for our customers. Some of these services are contract analytics, wallet profiling, events & transactions database as a service, push notifications, webhooks, and developer tools.\r\n\r\nOur mission is to enable everyone to easily access and consume on-chain data!",
    "one_liner": "Palantir for Web3",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1657226714,
    "tags": [
      "Cryptocurrency"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/blockscope",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/blockscope.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/blockscopeco",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b82c758ebac11667f3da0075088a57d8d7852c8.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 245828,
        "full_name": "Adit Patel",
        "title": "Founder",
        "founder_bio": "Adit Patel is a cofounder & CEO at Blockscope. After building multiple projects in the Web3 space, it was abundantly clear to us that interacting with on-chain data is an unnecessarily complex process. We are building out a Web3 Data Platform that enables all types of individuals, developers, portfolio managers, institutions or even crypto newcomers to capture, analyze and understand any on-chain data! Easy to use crypto tools for all.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pateladit/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/956bfcb705a303bf213dcde3e1f3c9875f360566.jpg"
      },
      {
        "user_id": 1018612,
        "full_name": "Maharshi Patel",
        "title": "Founder",
        "founder_bio": "Maharshi is a software engineer at Blockscope.\n\n\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maharshipatel1997/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39edf8f6b180217d682fe9dfe1037b61f1cb12e2.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 72077,
        "title": "Blockscope - Easy to use crypto tools for all!",
        "tagline": "Blockscope offers a suite of tools to understand web3 data in a useful way.",
        "body": "# **What is Blockscope?**\n\nBlockscope is a data platform with easy to use tools for the most common use cases in web3 like monitoring for on-chain events, crypto forensics, data indexing, investigations, building dapps & more! Blockscope is used by crypto users, trading firms, web3 startups and institutions.\n\n### **❌ Problem:**\n\nWeb3 has a usability problem, currently any interaction is complex and fragmented. For simple things like getting alerted when money moves to your wallet or understanding what happened in a transaction, it’s like you need a degree in cryptography. As developers, traders, and researchers who faced these issues, we realized that without better tools, web3 adoption will not take off. This is precisely the problem we’re solving.\n\n### **✅ Solution:**\n\nAt Blockscope we’ve built a suite of tools that work together to help you understand on-chain data in useful ways and take action. All of our tools help do one of the following:\n\n* Save engineering hours for developers\n* Make on-chain data readable and understandable\n* Enable traders to take informed actions\n* Help monitor & fight against scams, fraud and hacks\n* Empower new comers and non-technical individuals\n\nTools currently available on Blockscope:\n\n![uploaded image](/media/?type=post&id=72077&key=user_uploads/245828/ec3ccf9e-9e8c-4279-b891-ed0051eb168f)\n\n---\n\n### 💪 **Some of our products:**\n\n✔️ **Data Delivery Pipeline Tool** - Index blockchain data and deliver anywhere in real-time!\n\n<https://youtu.be/7vFxONaGwdI>\n\n✔️ **Watchtower Tool** - No-code tool to monitor, capture and send alerts based on specific on-chain activity set by users\n\n![uploaded image](/media/?type=post&id=72077&key=user_uploads/245828/4c906f2f-f9b5-4ad8-bba0-466ddbad65b9)\n\n✔️ **Tracer Tool** - Track funds moving into and out of different wallets\n\n![uploaded image](/media/?type=post&id=72077&key=user_uploads/245828/2f872b79-0b0a-48ae-8546-cb0bb831efe9)\n\n✔️ **Transaction Decoder Tool** - Decode all data in any transaction and understand what is going on! ex: a Flash Loan attack and addresses involved\n\n![uploaded image](/media/?type=post&id=72077&key=user_uploads/245828/cc32d118-d093-4879-b159-035090f3d652)\n\n### **🚀 Use Cases:**\n\n* Devs have built discord bots to notify when specific NFTs in certain collections are listed for sale using [Data Delivery Pipelines Tool](https://www.blockscope.co/)\n* Traders are monitoring for new Uniswap pool creation with [Watchtower Tool](https://www.blockscope.co/)\n* Flash loan attacks can be investigated with [Transaction Decoder Tool](https://www.blockscope.co/)\n* Forensics teams can analyze sanctioned addresses with the [Tracer Tool](https://www.blockscope.co/)\n* Developers can measure DAUs & MAUs and other metrics with [Contract Usage Tool](https://www.blockscope.co/)\n* Understand holdings and activity for any address with [Address Profiler Tool](https://www.blockscope.co/)\n* Devs can trigger state changes for their protocols based on on-chain events with the [Webhooks Tool](https://www.blockscope.co/)\n* … many more!\n\n# **👋 Our Ask:**\n\n* Sign up for access at <https://www.blockscope.co/signup>\n* Tell us about any on-chain data issues you’ve had at <https://www.blockscope.co/contact-us>\n* Follow us on [Twitter](https://twitter.com/BlockscopeCo) & [LinkedIn](https://www.linkedin.com/company/blockscopeco/)\n* Reach out at [hello@blockscope.tech](mailto:hello@blockscope.tech) for any inquires!",
        "url": "https://www.ycombinator.com/launches/IkX-blockscope-easy-to-use-crypto-tools-for-all",
        "votes": 82,
        "created_at": "2023-06-06T14:31:08.441Z"
      }
    ]
  },
  {
    "id": 27172,
    "name": "Clearline",
    "slug": "clearline",
    "former_names": [
      "Lancey"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/53a34147e63b67c7a9270226ba55f80c0701d86e.png",
    "website": "https://useclearline.com",
    "all_locations": "Kitchener, ON, Canada",
    "long_description": "Clearline is the AI operating system that captures, routes, and converts every revenue opportunity across your dealership without adding headcount.",
    "one_liner": "AI for modern automotive dealerships",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1655587130,
    "tags": [
      "SaaS",
      "B2B",
      "AI",
      "Automotive"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/clearline",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/clearline.json",
    "year_founded": 2022,
    "city": "Kitchener",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/teamclearline/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/53a34147e63b67c7a9270226ba55f80c0701d86e.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 942902,
        "full_name": "Adi Patel",
        "title": "Founder",
        "founder_bio": "CEO @ Clearline",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pateladi/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39fe4dd168336efa366aa995815ff74af1c5e6bc.jpg"
      },
      {
        "user_id": 970753,
        "full_name": "Abhi Patel",
        "title": "Founder",
        "founder_bio": "Making something people want",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abhishek-patel27/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80aa2c99c9f71ff91ccb8cc6feba51b95f2d34df.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Led by former Ada employees, Lancey secures $2 million to let B2B software buyers “try before you buy” | BetaKit",
        "url": "https://betakit.com/led-by-former-ada-employees-lancey-secures-2-million-to-let-b2b-software-buyers-try-before-you-buy/",
        "date": "Dec 05, 2022"
      }
    ],
    "launches": [
      {
        "id": 99746,
        "title": "Clearline | AI native revenue engine for automotive",
        "tagline": "Clearline deploys AI agents that answers every inbound call, follows up on every lead, and tracks every customer interaction for car dealerships, 24/7.",
        "body": "Hey everyone! We're Adi and Abhi, the founders of Clearline.\n\n![uploaded image](/media/?type=post&id=99746&key=user_uploads/942902/e3dbee2c-c4a0-4485-ad87-4509317bb2c9)\n\n### The Problem\n\nCustomer experience at car dealerships is broken. Not because the teams don't care, but because the systems were never built for how customers actually behave today.\n\nHere's the reality:\n\n* **23% of dealership calls go unanswered.** 85% of those callers never call back. That's revenue walking out the door every single day.\n* **Most lead follow-up dies by day 5.** Dealerships spend thousands driving traffic and generating leads, then let them rot in a CRM nobody checks.\n* **Sales uses one system. Service uses another. Nobody has the full picture.** Reps waste time on manual logging, managers guess at what's happening, and customers repeat themselves every time they call.\n\nDealerships have tried to solve this with more tools, more staff, more process. It doesn't work. The stack is fragmented and nothing talks to each other.\n\n### The Solution\n\nClearline is an AI-native operating system for dealerships. Three products, one platform:\n\n**Inbound** - AI answers every sales and service call instantly. No voicemail, no hold music, no transfers. It qualifies intent, routes to the right department, and books appointments in real-time. 24/7, including nights and weekends.\n\n**Outbound** - Automated follow-up via calls, texts, and email. Clearline responds to new inquiries within seconds and runs disciplined cadences from day 1 through day 90. No lead gets forgotten.\n\n**CRM** - One unified record across sales, service, and BDC. Full call transcripts, automatic logging, next steps triggered without anyone typing a note. Managers get complete visibility with real data.\n\n![uploaded image](/media/?type=post&id=99746&key=user_uploads/942902/dd50c407-f1a1-4910-b1c3-7124bd3e294b)\n\n### Results\n\nDealerships see this in their first 30 days:\n\n* **$60K+ revenue recovered** from missed calls and dead leads\n* **240% more leads engaged**\n* **4+ tools consolidated** into one platform\n\n> _\"Recovered $78K in service and sales revenue from 400 missed calls per month._\n\n> _\"Show rate on outbound appointments went from 38% to 64% in the first month._\n\n### You're Always in Control\n\nThis isn't about replacing dealership staff. Clearline augments your team:\n\n* AI escalates to a human anytime a situation needs real judgment\n* It only operates within rules you define (hours, routing, boundaries)\n* It only uses dealership-approved responses for pricing and policies\n* Every call, message, and booking is logged and reviewable\n\n### Try Clearline\n\nIf you run a dealership or know someone who does, we'd love to chat.\n\n[Book a demo](https://useclearline.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)\n\nReach us directly at [founders@useclearline.com](mailto:founders@useclearline.com) or check us out at [Clearline](https://useclearline.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)",
        "url": "https://www.ycombinator.com/launches/Pwo-clearline-ai-native-revenue-engine-for-automotive",
        "votes": 6,
        "created_at": "2026-04-14T21:10:47.506Z"
      },
      {
        "id": 95485,
        "title": "Lancey - connect your customer signals to your codebase",
        "tagline": "Every AI coding tool writes code. Lancey helps you decide what to buid.",
        "body": "### **TL;DR**\n\nMost teams know what their customers want. It’s buried in Slack threads, support tickets, and calls. But turning that into shipped code still takes months.\n\nLancey is the first autonomous coding agent that builds what your customers want.\\\nIt listens to your customer channels, understands your codebase, and ships ready-to-merge PRs, all in the background.\n\nhttps://youtu.be/1g76HQkrdyQ\n\n---\n\n### **The Problem**\n\nCustomer feedback already tells you exactly what to fix or build. The issue isn’t knowing _what_ to do, it’s the manual steps between understanding and shipping.\n\nSupport tickets, Slack threads, and bug reports pile up. Engineers spend hours triaging. Product teams chase context. PMs and devs are stuck in loops instead of shipping.\n\nEven AI coding assistants today still need you to _prompt_ them, _explain the bug_, and _review every output_. It’s still work, just faster typing.\n\n---\n\n### **Why Lancey Exists**\n\nWe built Lancey because we think software should respond directly to its customers. Without human bottlenecks.\n\nLancey continuously scans your customer channels and codebase to spot high-impact bugs or requests. When it’s confident, it drafts and submits a PR. When it’s unsure, it asks for review.\n\nNo tickets, no triage, no context handoffs. Just a system that quietly keeps your product aligned with your users.\n\n---\n\n### **How It Works**\n\n* **Understands your customer context** - Connect Slack, Zendesk, Intercom, and more.\n* **Understands your code** - Builds a deep map of your repositories and dependencies.\n* **Builds autonomously** - Drafts fixes, features, and improvements as ready-to-merge PRs.\n* **Collaborates by default** - Keeps engineers and PMs in the loop so nothing feels like a black box.\n\n---\n\n### **Who It’s For**\n\nEngineering and product teams who want to spend less time triaging and more time shipping what actually matters to customers.\n\n---\n\n### **Why Now**\n\nWe’ve reached a point where LLMs can not only reason over customer data, they can write safe, context-aware code. The missing piece is connecting these two worlds.\n\nLancey makes **customer-driven engineering autonomous**.\n\n# **How you can get access**\n\n* Sign up for a free account [here](https://lancey.ai)",
        "url": "https://www.ycombinator.com/launches/Oq5-lancey-connect-your-customer-signals-to-your-codebase",
        "votes": 10,
        "created_at": "2025-11-13T16:04:17.494Z"
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    "id": 27174,
    "name": "Monterey AI",
    "slug": "monterey-ai",
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    "website": "http://www.monterey.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Monterey AI helps companies understand what actions to take to improve engagement and reduce churn by setting up user feedback channels, auto-collecting, and analyzing qualitative feedback and quantitative data from multiple sources.",
    "one_liner": "Turn user feedback to product insights",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1656519896,
    "tags": [
      "Generative AI",
      "Productivity",
      "Enterprise",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Acquired",
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    "regions": [
      "United States of America",
      "America / Canada",
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    "url": "https://www.ycombinator.com/companies/monterey-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/monterey-ai.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/monterey-ai",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 809138,
        "full_name": "Chun Jiang",
        "title": "Founder",
        "founder_bio": "Chun is the co-founder and CEO of Monterey AI. Previously led products and design at companies like Unfolded (acquired by Foursquare), Scale AI, and Uber. Chun graduated from Cornell in 2018, and has been obsessed with building the most ambitious and delightful Data and AI products in productivity, developer tooling, and autonomous vehicles. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chunonline/",
        "x_url": "https://twitter.com/chunonline",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bec3819b8324d423230b63bdaaacce47c747e341.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "7 AI startups that stood out in YC's Summer '22 batch",
        "url": "https://techcrunch.com/2022/09/08/7-ai-startups-that-stood-out-in-ycs-summer-22-batch/",
        "date": "Sep 08, 2022"
      }
    ],
    "launches": [
      {
        "id": 80330,
        "title": "🌟 Monterey AI 2.0: AI-native user insights platform — feedback, survey, roadmap, and more",
        "tagline": "The easiest way to aggregate, conduct, triage, and analyze user feedback across support tickets, transcripts, and social media mentions",
        "body": "**TL;DR**\n\nAggregate, triage, and analyze user feedback, tickets, conversations, surveys, and transcripts - smarter, together, and at scale. [Monterey AI](https://monterey.ai) is the most powerful AI native insights platform for decoding the voices of customers and the next growth opportunities.\n\n# [**⭐ Click here to book a demo call ⭐**](https://cal.com/chunonline/monterey-demo)\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/ef5f3408-f42f-413f-a1f0-cf5d659ecd44)\n\n**🤕 Problem**\n\nAlmost all customer conversations in all customer channels have enormously valuable user insights that have never been mined to their full potential. Most companies are not utilizing them enough; this damages the speed of decision-making and slows down execution. Breaking down the problem into three key issues:\n\n* Support tickets, transcripts, and surveys are extremely messy (format, scale, and cadence);\n* Too much noise to filter - everyone wants to listen to users more, but listening at scale is hard;\n* It’s high-stakes decision-making and has a low-risk tolerance towards hallucination.\n\n# [**⭐ Click here to book a demo call ⭐**](https://cal.com/chunonline/monterey-demo)\n\n**🎉 Solution**\n\nWith Monterey AI, you can connect with data sources like **Zendesk, Front, Intercom, Gong, Salesforce, HubSpot, App Store, Google Play Store, and Snowflake, in one click or via API**. Monterey AI automatically extracts, categorizes, and triages the conversations based on company or business concepts.\n\n* **Proactive insights delivery:** Instant, accurate answers. It’s an AI Analyst proactively delivering insights to the team, and it’s an instant always-on copilot to help you fetch relevant data and navigate noises.\n* **All-in-one experience management:** feedback analytics is just part of the platform, you can also mix and match other ai first solutions that we provide as part of the package: widget, a roadmap with AI suggestions, personalized customer communications, and AI semi-moderated user survey.\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/71a5de43-a44f-4d40-a79c-315cbca311b1)\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/01f894a5-4c6e-4648-ae59-0770865d0f50)\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/226cf965-9910-487f-a838-1eba71956e65)\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/a749c106-784e-4b9c-83f1-c771dd94cd04)\n\n**👀 Comparing Monterey AI to other Solutions**\n\n* **Onboarding & adoption:** Analytics product notoriously has the challenge of onboarding; you are onboarding the data, the user, and the organization. Monterey AI has all native integration with data sources like Zendesk, Front, Intercom, Salesforce, HubSpot, and a robust API platform to directly pull data from your data warehouse. It assures the easiness of data onboarding, and on the other side, the speedy and sleek user experience of the platform makes sure this is something users can get value, right away.\n* **Clear ROI and Performance:** In the most recent case study, we **save one department in the organization 3,840 manual hours annually in total**. \n* **Security and privacy:** The way to evaluate AI solutions for highly sensitive data is different.\n* **Auto improving from user interactions and data:** We invest significant time and resources in making sure the platform is scalable and adaptable to your business and needs. Every new data point and interaction you perform in the workspace is directly fed into the model sets for you with auto improvement. You don’t need to depend on giant model improvement, bear any risk from “human annotation” services from vendors, and spend extra internal engineering resources making it work.\n\n# [**⭐ Click here to book a demo call ⭐**](https://cal.com/chunonline/monterey-demo)",
        "url": "https://www.ycombinator.com/launches/Kte-monterey-ai-2-0-ai-native-user-insights-platform-feedback-survey-roadmap-and-more",
        "votes": 120,
        "created_at": "2024-04-22T17:39:43.610Z"
      },
      {
        "id": 64189,
        "title": "🐳 Monterey - Co-pilot for product development",
        "tagline": "Monterey boosts and guards product velocity for hyper growing teams, smartly.",
        "body": "👋 [Chun](https://www.linkedin.com/in/chunonline/) and [Ben](https://www.linkedin.com/in/benmkramer/) here introducing [Monterey AI](https://www.monterey.ai/) to you!\n\n### **TL;DR:**\n\n🐳 Monterey is building the **co-pilot for product development**. We do this by replacing documents with smart use-case-centric workflows that help you strategize, measure, and align.\n\n### **Who is it for**\n\nProduct leads (whether a founder, engineer, product manager, designer, etc.) who are looking to escape from burdensome documents and get back to what they are good at. No more spending hours and days on\n\n1. looking for best practice of product development online\n2. convincing your team to adopt the process\n3. repeatedly communicating and reporting strategies and progress\n4. worrying about cross-team dependencies\n5. managing several products in numerous documents and task management tools\n\n### **How it works**\n\n1. Pick a product template based on your use case\n2. Configure input and share with your team\n3. Check dependencies and solve conflicts\n4. Run, report, retro, and repeat\n\n![uploaded image](/media/?type=post&id=64189&key=user_uploads/809138/4340dbb8-f79a-485a-894f-8f044aeb2498)\n\n### **Why we built it**\n\n💪 We started Monterey AI to solve a problem that we’ve experienced at startups ranging from 10 to 10,000 people: **the product velocity gets slow and inefficient as company scales.** We built Monterey to\n\n1. Get teams out of verbose documents and into guided **workflows** that can be visually configured and shared\n2. Speed up product development by exposing and sharing **best practices**\n3. Discover cross-team conflicts and dependency by running **Monterey Bot**\n4. Initiate outcome driven conversations with **slack integration**\n5. Provide a birds eye **portfolio view** to align across features, products, and teams\n\n### **Can I try it**\n\n1. Want to try it? Sign up on [the website](https://www.monterey.ai/) or email ([chun@monterey.ai](mailto:chun@monterey.ai)) and we’ll help you get started!\n2. Have feedback or have friends in need of Monterey? Come be our super design, [join our Slack](https://join.slack.com/t/monterey-ai/shared_invite/zt-1ajkx4ur4-up_0R7TR_I4B9md29c5xbg), and [follow us on Twitter](https://twitter.com/montereyai)!\n3. 🎁 50% off any paid plan if subscribed annually before Sep.1st, 2022.",
        "url": "https://www.ycombinator.com/launches/GhJ-monterey-co-pilot-for-product-development",
        "votes": 111,
        "created_at": "2022-06-29T19:08:43.808Z"
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    "id": 27177,
    "name": "MovingLake",
    "slug": "movinglake",
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    "website": "https://movinglake.com",
    "all_locations": "Mexico City, CDMX, Mexico; Remote",
    "long_description": "MovingLake is Fivetran for event-driven architectures. Companies such as Casai use our product to obtain orders and price changes in real time.",
    "one_liner": "Realtime Data Connectors",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "city": "Mexico City",
    "country": "MX",
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        "full_name": "Andres Paez",
        "title": "Founder",
        "founder_bio": "Worked as a Software Engineer and Product Manager at Amazon Prime, Google Search and Google Cloud Platform for about 7 years. Have worked as the CTO of Casai and Valoreo for the last 3 years starting technology teams from scratch leading software engineers, hardware engineers, software managers, data engineers, data scientists, IT professionals, DevOps engineers, product managers and product designers.\n\n",
        "is_active": true,
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      {
        "user_id": 1104191,
        "full_name": "Edgar Cabrera",
        "title": "Founder",
        "founder_bio": "About ten years of Sofware Engineer Experience at startups of several stages. I have worked in developing products from scratch until they become scalable, robust systems. I love the feeling of my work bringing value to others.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edgarcabrera-dev/",
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        "id": 71150,
        "title": "MovingLake - Vertical-first, realtime, AI-enabled data platform",
        "tagline": "LLM-enabled data connectors, transformations and visualizations for e-commerce, hospitality and more",
        "body": "Hi!\\\n**We are now launching our LLM-enabled BI tool which allows all of our clients to query their databases by using prompts in plain english.**\n\n![uploaded image](/media/?type=post&id=71150&key=user_uploads/200174/8c06ceeb-4d8f-48ac-a152-3535bfb76eb6)\n\nHappy to announce that MovingLake user’s can not only get their data centralized in their data warehouse, but we are now enabling an end-to-end business intelligence experience where in a matter of minutes you can get the data flowing AND get the dashboards going.\n\nThis is important because not all of our clients are friendly with SQL or with BI tools. Letting them access their data in a secure way and using plain english questions is a game changer for them.\n\n**Ask**\n\nWe are looking to integrate to other data connector tools and companies as well as other data products to be able to give the most value faster to our clients. Please reach out if this would be interesting to your company.\\\n\\\nWe are available at [andres@movinglake.com](mailto:andres@movinglake.com) and [edgar@movinglake.com](mailto:edgar@movinglake.com) ",
        "url": "https://www.ycombinator.com/launches/IVa-movinglake-vertical-first-realtime-ai-enabled-data-platform",
        "votes": 17,
        "created_at": "2023-04-24T19:26:45.556Z"
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        "id": 64655,
        "title": "MovingLake: Realtime, event-driven data connectors",
        "tagline": "Proprietary data connectors which feed both data and transactional systems",
        "body": "Hey YC!\n\n[Edgar Cabrera](https://www.linkedin.com/in/edgarcabrera-dev/) and [I](https://www.linkedin.com/in/andrespaezmartinez/) are excited to launch [Moving Lake](https://movinglake.com/) today.\n\n**TLDR: MovingLake aims to do ETLs for event-driven architectures. Power your data warehouse as well as your microservices using the same API connectors.**\n\n### ⚠️ **What’s the Problem?**\n\nAfter talking to dozens of data engineers as well as technology stakeholders, and from our past experience, we uncovered a set of intertwined problems with current data connectors:\n\n1. A data connector does not provide data to transactional systems. This can lead to duplication of integration work plus lack of reliability between different sources of data. For machine learning this can be real trouble\n2. API integrations done in house are flaky and require a lot of investment in development and maintenance\n3. Event-driven architectures are reimplementing over and over again the same pieces of infrastructure such as schedulers, pollers and webhook receivers\n4. Batch extractors can skip states and so end up with missing data. For example if I have a booking business and a reservation gets cancelled 10 minutes after created, the batch pipeline will only see the cancelled state but not the created state.\n5. Running automations and other workflows is impossible with batch data connectors.\n\n### 👍 **What’s the solution?**\n\n**Realtime, event-driven, deduplicated, replayable, ELT friendly and SDK ready connectors which feed both data and transactional systems at the same time.**\\\nWe are rolling out connector for APIs which give you the ability to add any number of destinations including data and backend systems. We provide on top of that transformations for the data side so that you get the data in nicely formatted tables. Plus we also aim to provide easy to use SDKs so that consuming MovingLake’s webhooks is as easy and fast as possible.\\\n\\\n❓ **What’s the ask?**\n\nDo you have recurring issues with data reliability? Do you end up writing batch scripts to recover lost data from webhooks? Do you struggle with running your machine learning models from batch pipeline’s data? Reach out to [founders@movinglake.com](mailto:founders@movinglake.com) or contact us through our [website](https://movinglake.com/contact-us).\\\n\\\nThanks!",
        "url": "https://www.ycombinator.com/launches/Gop-movinglake-realtime-event-driven-data-connectors",
        "votes": 166,
        "created_at": "2022-07-15T16:27:46.974Z"
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    "long_description": "Taro is a community of 150k+ software engineers looking to grow their careers. High-growth tech companies leverage the Taro platform to hire engineers who can grow the company. \r\n\r\nTaro's education platform offers online courses and discussions with leaders at top tech companies. These resources attract many top engineers seeking their next career move.\r\n\r\nTaro supports the hiring process at startups through sourcing and feedback on engineers. If you're looking to expand your engineering team quickly, without compromising on quality, book time here: https://www.jointaro.com/enterprise/",
    "one_liner": "Help high-growth tech companies hire strong engineers",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1658437017,
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      "Creator Economy"
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        "title": "🧋 Taro - Faster Career Growth for Software Engineers",
        "tagline": "We get software engineers onboarded and promoted faster",
        "body": "**tl;dr**: Your career growth shouldn’t depend on your ability to find a good mentor or manager. Taro brings together top SWEs with proven insights to scale your career. **Check out our** [**website**](https://bit.ly/taro_app_web) **and** [**YouTube channel**](https://bit.ly/rahul_yt)**.**\n\nTaro helps full-time engineers get onboarded and promoted faster. We do this through Q&A and case studies from tech veterans, organized by company and level.\n\n### **⛔️ The Problem**\n\nAs a software engineer, you already know how to code. But **software engineering is so much more than coding**.\n\nOver the last 2 years, Alex and I built a community of 50K software engineers on [YouTube](https://youtube.com/rpandey1234), [Slack,](https://join.slack.com/t/techcareergrowth/shared_invite/zt-1ctxuq8h2-b3nnkQG0MtXyBpvrEFpgqQ) and [LinkedIn](https://www.linkedin.com/company/71614174/admin/). We talked to hundreds of engineers and found that their career bottleneck was not their coding ability, but how effectively they managed projects, understood the context, and communicated blockers.\n\n![uploaded image](/media/?type=post&id=65087&key=user_uploads/192956/5ded8a2b-c6e4-4a8f-b6e8-039c9d7335a8)\n\nLeft to right:\n\n[📱 Alex](https://www.linkedin.com/in/alexander-chiou/) has mentored dozens of engineers to Senior+ levels across his time at Meta and Robinhood.\n\n[🎓 Rahul](https://www.linkedin.com/in/rpandey1234/) has taught thousands of engineers through his role as a Stanford lecturer, LinkedIn Learning instructor, and YouTube creator.\n\nWhat separates an average engineer from a great engineer is the ability to independently create business impact, and that doesn’t get taught in a CS degree or a bootcamp. Taro fills the gap.\n\n### **💡 Our Solution**\n\n1. A Q&A database from real engineers, with answers from industry experts. **All questions are tagged by company + level, which makes it easy to find relevant content.** [Here’s a sample](https://app.jointaro.com/question/mvMQj8228kuUe38BvdT9).\n2. Case studies from eng leads + managers at top tech companies.\n3. A community of software engineers at top companies who share insights + advice.\n\n![uploaded image](/media/?type=post&id=65087&key=user_uploads/192956/62f78267-822d-4ab1-a232-5c3f586b48d9)\n\n### **💁🏽‍♀️ Target Audience**\n\nWe already have 100+ Taro Premium members from companies like Meta, Google, TikTok, and Amazon (along with thousands of free users).\n\nTaro is a great fit for **full time engineers at fast-moving tech companies**. Taro is **not** a good fit for freelancers or students who are still exploring software engineering.\n\n### **❓Our Ask**\n\n1. Reach out if you’re an engineer starting a new role, or are aiming for a promotion.\n2. Tell us what upskilling products you’ve used for engineers!\n\nShoot us an email at [team@jointaro.com](mailto:team@jointaro.com) — our app is available for web, Android, and iOS at <https://joinTaro.com>.",
        "url": "https://www.ycombinator.com/launches/Gvn-taro-faster-career-growth-for-software-engineers",
        "votes": 62,
        "created_at": "2022-08-03T02:02:51.171Z"
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    "slug": "sculpt",
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        "full_name": "Vidhi Vakharia",
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      {
        "id": 65179,
        "title": "Abridge 🚢  Flexport for India",
        "tagline": "We help importers/exporters ship anything from India in just a few clicks!",
        "body": "Hi, we’re Vidhi and Pradhith, and we’re super excited to introduce Abridge!\n\n### **What is Abridge?**\n\nAbridge is an intelligent logistics partner for importers/exporters who want to ship freight into or out of India. We digitize the full shipment lifecycle (online freight booking, optimized container load plans, automatically generated compliance documents, and online communication channels). We make the lives of importers and exporters easier by:\n\n1. Providing shippers an online freight booker and record-keeper of all shipments.\n\n   ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/984e8c45-fef1-4709-8f95-c772a576aa67)\n\n2. Saving shippers money (5-15%!) on every container shipped by providing them with optimized container stuffing plans and minimizing wasted space inside the container.\n\n   ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/dc39cc40-f6d6-483e-8b04-8aed92506f0c)\n\n3. Automatically generating all shipping compliance documents, thus saving shippers \\~3-9 emails/shipment in co-ordinating manually generated documents.\n\n   ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/5f7390c7-8d4e-412c-97d0-84ce37cc0fdf)\n\n4. Decluttering shippers’ email, messages, and phone lines by providing a shared online workspace for all shipment related communications with easy and intuitive referencing to each shipment.\n\n   ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/394747d5-512e-4bd1-808e-357abfa4f95f)\n\n\n### **Whom is Abridge for?**\n\nIf you import/export anything in India, what has been your biggest challenge when shipping goods? Click [here](https://calendly.com/abridge-vidhi/abridge-can-help-30mins?month=2022-08) to tell us!\n\n### **Can you try Abridge?**\n\nYes, we are currently open for shipments into and out of India! You can sign up [here](https://www.abridge.dev/demo) to digitize your India import/export needs!\n\n### **How did we come to build Abridge?**\n\nMy family has been exporting auto-parts from India to the US, France, and Germany for the last thirty years. Although the main business is manufacturing, managing shipping logistics is an unnecessarily high-touch, highly manual overhead in the business’ day-to-day operations.\\\nAdditionally, Pradhith and I also got to experience the tedious logistics around importing products into India while we developed our previous business — an e-commerce retailer in India. Other companies that were suppliers to our e-commerce retailer also said they faced the same issues!\\\nA lot of these issues have digitization and automation solutions, so it’s unnecessary that every importer/exporter has to manage logistics as a separate, highly-involved project in addition to their actual business. Our goal is to be the digital logistics partner that we wanted to partner with when we were running our previous business.",
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        "full_name": "Matt Williamson",
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        "founder_bio": "Co-Founder & CEO @ Vizzly | Skyscanner & Duffel Alumni",
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        "title": "Vizzly ⚡️ Customer-Facing Analytics for Modern SaaS",
        "tagline": "Build, embed, share and delight your users with data.",
        "body": "**✨ TL;DR**\\\n[Vizzly](https://www.vizzly.co/) is customer-facing analytics for modern SaaS.\n\nOur primary goal is to help SaaS companies build beautiful customer-facing analytics without compromising the user experience or product quality.\n\nVizzly offers a semantic layer, works with your authentication setup, and provides a powerful visualization layer that's extensible with code for those who want more control.\n\nWith Vizzly, customers can build and deliver anything from simple user-facing insights to advanced custom reporting and everything in between.\n\n**❌ The problem**\n\nOver 75% of B2B SaaS companies have (or will need) customer-facing dashboards or reporting capabilities, but embedded analytics tools are stereotypically rigid and force a lot of compromise.\n\nFor example, many of these tools offer simple iFrame embeds, instantly limiting flexibility, programmability, and impacting performance.\n\nIf SaaS companies do build in-house, they end up committing precious time to building a large product feature that’s often not core to their unique value proposition.\n\nThe maintenance overhead is often overlooked until customers begin asking for new cuts of data or other views, meaning the SaaS company needs to extend the backend API and build new visualizations if they want to satisfy the request.\n\n**💡 How we help**\n\nVizzly provides customer-facing analytics for modern SaaS; offering the same level of flexibility as an in-house development process with minimal technical overhead required.\n\nKey product areas include:\n\n* Ultra low-code experience: get setup in hours.\n* JS-based embedding (React, Angular, Vue & Svelte).\n* Extensible with code and highly flexible.\n* Native to your UI (we offer a lot of control).\n* Works with normalized and dynamic customer data structures.\n* Direct API access via our React or Vanilla JS Hook.\n* A powerful Custom Reporting option.\n\n**❓How do I sign up?**\n\nSign up link [**here**](https://app.vizzly.co/sign-up)**.**\n\nAlternatively, feel free to schedule a demo with us [**here**](https://calendly.com/mswilliamson/call-with-matt)**.**\n\nThank you! Vizzly Team ✌️",
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        "votes": 71,
        "created_at": "2022-08-10T17:11:57.727Z"
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    "all_locations": "Istanbul, Istanbul, Turkey",
    "long_description": "Turkey is MENA’s largest economy, with ~850,000 independent truckers and a logistics market of 73 Billion USD. However, in its current state, freight forwarding for trucking relies on many phone calls, emails, and f2f conversations. Trucking is also fragmented, with SME fleets having ~95% market share. \r\n\r\nKamion is the Uber for Trucks for Turkey. We connect businesses that are looking for trucks, with trucks that are looking for loads. We also utilize technology to do more with fewer people and collect data.\r\n",
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        "answer": "Our aim is to connect shippers (companies who are in need of Full Truck Load trucking services) and carriers (small trucking companies or owner-operators) more efficiently with the help of software, data science and process design.\r\n\r\nIn the FTL space, when finding suitable trucks for loads and tracking shipments, there are a lot of tasks that can be delegated to software.\r\n\r\nWe're progressively identifying repeating tasks that cause bottlenecks in Kamion's, our shippers', and our carriers' operations and building software to handle them (invoicing, payments, document / shipment tracking).\r\n\r\nWe're also aware of some key points that will allow us to have an edge if we utilize our data in the right way (pricing, personalized load recommendations), and we're designing our software to take advantage of these as we grow."
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    "city": "Istanbul",
    "country": "TR",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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        "full_name": "Berkay Adlim",
        "title": "Founder",
        "founder_bio": "Berkay is the Founder and CEO of Kamion, one of the largest logistics platforms in the MENA region. His background includes working in logistics from an early age to becoming a published researcher at Columbia. Berkay holds a BS in Industrial Engineering from the University of Illinois at Urbana-Champaign and an MS in Applied Analytics from Columbia University.\n\n",
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        "title": "Kamion: Uber for Trucks for the Turkish Market",
        "tagline": "Kamion connects shippers and truckers in MENA's largest economy! ",
        "body": "_tl;dr_ - [Kamion](https://kamion.co/) connects shippers with truckers in the B2B space in Turkey.\n\n\\\n**the Problem:**\n\nTurkey is MENA’s largest economy, with \\~850,000 independent truckers and a logistics TAM of 73 Billion USD. However, in its current state, freight forwarding for trucking faces two main challenges:\n\n1. _1) Operational Inefficiency —_ There are many phone calls, emails, and f2f conversations in booking trucks for your loads.\n2. _2) Fragmented Market —_ The top 10 players in trucking account for around 5-6% of the total market size. SME fleets (5-10 trucks) run 90-95% of the market.\n\n\\\n**the Solution:**\\\n\\\nWe act as the main point of contact for the shippers and reduce complexity for them. We also utilize technology to do more with fewer people and collect data.\n\n\\\n**Why we built Kamion:**\\\n\\\nBerkay started working at an early age and spent a lot of time in the logistics, procurement, and warehousing departments. Working with data during his graduate school years helped him see the inefficiencies in processes in these departments. He and the team are building Kamion to solve these inefficiencies!",
        "url": "https://www.ycombinator.com/launches/GfX-kamion-uber-for-trucks-for-the-turkish-market",
        "votes": 75,
        "created_at": "2022-06-26T10:03:01.642Z"
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    "name": "Lotus",
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    "website": "http://uselotus.io",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Lotus is an open-core pricing and billing engine. We enable API companies to automate their custom usage-based pricing for any metric. Rather than guess on how to charge their customers, Lotus provides companies with powerful new tools from metering to invoicing to testing new pricing.\r\n\r\nOur self-hosted software is free on GitHub, and we offer a paid cloud version and enterprise tier for support.",
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    "team_size": 2,
    "industry": "B2B",
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      "United States of America",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Mikael Nida",
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        "full_name": "Diego Escobedo",
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        "full_name": "Faisal Ilaiwi",
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        "founder_bio": "I am a software engineer. I started my career at Microsoft (6.5 years) and then joined UiPath (3.5 years). In UiPath, I had the roles of an Engineering Manager and a Director of Engineering, where I grew my team from 2 to ~20 people within 2.5 years and faced many challenges doing that. We are building Intuned to help ease some of these challenges.\n\nI grow up in Palestine and went to college there; I was then hired to join Microsoft from there.",
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      {
        "id": 106701,
        "title": "WebSkillet.ai - web automation that gets cheaper every run",
        "tagline": "One API to automate any website. The agent writes code on run 1 and reuses it on every run after - script speed, agent resilience. Try it free at webskillet.ai",
        "body": "**Launch Video: [https://youtu.be/mXxe3P7hMzg](https://youtu.be/mXxe3P7hMzg)**\n\n**\\\nWhat is [Webskillet.ai](http://Webskillet.ai)?**\n\nWebskillet is a single API for web automation - extracting data, downloading files, crawling sites, filling forms, research tasks. You send a task in plain English (plus optional parameters, output schema, and start URL), and an agent executes it in a real browser using code.\n\nThat code is saved as a skillet, and since most web automation is repeat work (the same task on a schedule, or the same task with different parameters), the skillet gets reused on every later run. That's why run 2 can be 4x faster and cheaper than run 1. Here are [**20 real tasks with run 1 vs. run 2 numbers**](https://docs.google.com/spreadsheets/d/1EQVW4sypjW-v-sOz2bFU_iwYP3dadeA-4hdCYPYnHy0/edit?usp=sharing).\n\n**Why this is different?**\n\nPure AI browser agents treat every run like the first one. Nothing transfers: the agent re-explores, re-reasons, and you pay full price in time and tokens every time. Fine for one-offs, but web automation is mostly repeat work.\n\nWebskillet captures what the agent learns as code in the skillet, so run 2 starts from a working solution instead of a blank browser. And it's code reuse, not caching: same skillet, new parameters, fresh data from the live site.\n\n![uploaded image](/media/?type=post&id=106701&key=user_uploads/224423/bb695aa0-402f-4ded-9b33-c9c5ba7da222)\n\n**Our story**\n\nWe've been building [**Intuned**](http://intunedhq.com/) for the past 3 years: a browser automation platform that's been powerful for our customers, but it takes some setup to get up and running. Meanwhile, the world is moving to a place where agents just want everything as an API.\n\nWebskillet is our new product: everything we learned, packaged differently. One endpoint, no setup, and our infra (stealth browser, proxies, captcha solving, AI agent) behind it.\n\nDemo: [**https://youtu.be/U9WPX2bG_GI?si=0qoXtt7JKaTP-eXG**](https://youtu.be/U9WPX2bG_GI?si=0qoXtt7JKaTP-eXG)\n\n**Who it's for**\n\n* **AI agent products** that need the web as a tool. An example: a sales agent calling Webskillet to scrape a big website and build target lists\n* **Product teams** whose product needs data from sites that don't have an API in a repeat manner: government sites or legacy systems\n* **Growth/GTM engineers** doing enrichment and competitor monitoring: pricing pages, job postings, hiring signals\n* **Ops teams** doing repeated lookups: insurance verification, compliance checks, order status\n* **Data/analyst teams** building on web data: price intel, listings, market data, 10-K filings\n\n[**Here's a sheet of 20 real tasks we ran**](https://docs.google.com/spreadsheets/d/1EQVW4sypjW-v-sOz2bFU_iwYP3dadeA-4hdCYPYnHy0/edit?usp=sharing), with costs and timings for run 1 vs. run 2. Every row has a \"try it\" link so you can run yourself.\n\n**Asks**\n\n* **Try it! Sign up at [webskillet.ai](http://webskillet.ai)**\n* Watch the demo and tell us what you think, especially on the skillet concept\n* If you has a scraping/automation [**use case**](https://cal.com/team/intuned/quick-chat), lets talk!",
        "url": "https://www.ycombinator.com/launches/Rkz-webskillet-ai-web-automation-that-gets-cheaper-every-run",
        "votes": 23,
        "created_at": "2026-07-21T14:13:11.426Z"
      },
      {
        "id": 99778,
        "title": "Intuned - Code-first browser automation, built and maintained by AI",
        "tagline": "We help developers build and maintain browser automations (scrapers, RPAs, crawlers) with an AI agent that writes the code and fixes it when websites change.",
        "body": "Hey Everyone,\n\nI'm Faisal, co-founder of Intuned. We're a code-first browser automation platform with an AI agent that builds and maintains your automations: scrapers, RPAs, crawlers, and anything else that needs to control a browser at scale.\n\n<https://youtu.be/22IYRA-ZqQk>\n\n### The problem\n\nBrowser automations run a surprising amount of the internet's back office: price monitoring, job aggregators, data migrations, every RPA that exists because a vendor won't ship an API. And they're miserable to own. The scripts are fragile, selectors break constantly, and when a site changes, someone's day is gone.\n\nThat's before the infrastructure: stealth, proxies, CAPTCHAs, authentication, scheduling, retries, observability. Building one automation is annoying. Running a hundred in production is a full-time team.\n\nRecent AI browsers and LLM-driven agents handle one-off tasks well, but for repetitive tasks that run regularly, you need the speed, predictability, and cost profile that only code gives you. Nobody wants to write that code. And nobody wants to maintain it.\n\n### How Intuned works\n\nTwo parts, designed to work together.\n\n**The platform.** Write automations in TypeScript or Python, organize them into Projects, deploy to Intuned. Run them on demand via API or on a schedule. We handle stealth, CAPTCHA solving, proxies, AuthSessions for login flows, batched Jobs with retries and concurrency, and full observability (logs, browser traces, session recordings).\n\n![uploaded image](/media/?type=post&id=99778&key=user_uploads/224423/e2c5bb13-ee8a-497c-8312-c0793cad9183)\n\n**Intuned Agent.** Describe what you want. The agent explores the site, proposes a schema, writes the code, validates it against the live site, and delivers a production-ready Project you can review and deploy. It also edits existing projects and diagnoses failed runs by pulling real traces and logs, the same signals a human engineer would use.[ Learn more about it in our docs.](https://intunedhq.com/docs/main/02-intuned-agent/overview)\n\n**Self-healing projects.** Flip a switch and the project becomes autonomous. When a site changes and a run fails, Intuned detects it, the agent diagnoses and fixes it, and the project redeploys. You configure how much autonomy it gets. [learn more about it in our docs](https://intunedhq.com/docs/main/02-intuned-agent/self-healing-projects).\n\n**More demos:** [Build a scraper](https://www.youtube.com/watch?v=Es390qwW87w) - [Build an RPA](https://www.youtube.com/watch?v=D1Uf42OS1cs) - [Fix with AI](https://www.youtube.com/watch?v=dPqyOy-brOE) - [self-healing projects](https://youtu.be/22IYRA-ZqQk)\n\n### Use cases\n\n* **Scrapers** — pricing, job listings, public records, news, product catalogs. Anything structured you need on a schedule.\n* **RPA** — form submissions, data entry, report downloads, account actions. Essential when the service you need to integrate with doesn't have an API.\n* **Migrations** — moving data between services that don't talk to each other\n* **Crawlers** — multi-page discovery, sitemaps, content indexing at scale\n\n### How we got here\n\nWe've been in browser automation for over two years. We launched Intuned as a developer platform, but the #1 ask from customers was for us to just build and maintain the automations for them. We ended up running a services motion alongside the product, and over the past year we've processed **40M automation runs (20M minutes)** for a limited set of customers. It became one of the most loved parts of working with us, and also the thing we most wanted to replace with product.\n\nWe spent the last year trying, and nothing we built was good enough.\n\n**Then we integrated the Claude Agent SDK (Claude code wrapped as SDK) directly into Intuned.** Combined with the platform we'd already built, the agent now does what a human engineer on our team used to do: build projects, validate against the live site, read failed run traces, and ship fixes.\n\n### Our ask\n\n* Checkout our docs [here](https://intunedhq.com/docs/main/00-getting-started/introduction).\n* Try it free: [app.intuned.io](https://app.intuned.io)\n* Have a use case you want to talk through? [Book a demo](https://cal.com/team/intuned/get-started) or email [support@intunedhq.com](https://mailto:support@intunedhq.com)\n* Share it with anyone you think will be interested.\n\nThanks for reading 🙏\n\nFaisal & the Intuned team",
        "url": "https://www.ycombinator.com/launches/PxK-intuned-code-first-browser-automation-built-and-maintained-by-ai",
        "votes": 67,
        "created_at": "2026-04-15T14:35:16.537Z"
      },
      {
        "id": 83938,
        "title": "Intuned Auth Sessions - Build authenticated scrapers and RPA",
        "tagline": "Intuned Auth Sessions enable you to easily build authenticated scrapers and browser automation for a wide set of use cases. Watch our demo videos to learn more!",
        "body": "# **The Problem**\n\nAdding authentication to any type of browser automation complicates it. There is a lot to handle—session expiration, proxies, obtaining user credentials/consent, monitoring, and more—and there is no easy or standard way to handle it.\n\n# **The Solution**\n\nIntuned Auth Sessions provides a standardized, developer-friendly way to add authentication to any browser automation task. Whether you're building authenticated scrapers, implementing RPA processes, or creating custom integrations for a service without APIs, Intuned simplifies the process and provides you with the infrastructure. Intuned’s auth sessions come with features that handle common authentication challenges, such as securing credentials, solving challenges, proxy support, 2fa, and more!\n\nOne of the features that we are super excited about is our auth session recorder, where you can allow the user to log in to a remote browser and capture the session from that. Check out how it works here (and watch the full video below for more info):\n\n![uploaded image](/media/?type=post&id=83938&key=user_uploads/224423/47827269-e4ce-4a87-b57b-7a07d8cdc9bd)\n\n# **Use Cases, Demos, and Docs**\n\n* **Build a LinkedIn integration/Build an integration with a service that has no APIs.**\n  * Video Demo: <https://www.loom.com/share/fc56861199874850bee8a6dd33fd2aef>\n  * What does the demo show? We build an integration that enables users to “Connect to LinkedIn” and then show how we can automate a simple action.\n* **Authenticated Scraper:** Build scrapers that pull data from a website that requires auth.\n  * Video Demo: <https://www.loom.com/share/3488fb24bda04278ae88d5b018d22fd3>\n  * What does the demo show? We build a scraper that runs daily and pulls data from an authenticated website.\n* **Back office Automation:** Automate back office operations on a website that requires auth.\n  * Video Demo: <https://www.loom.com/share/df53a15788504c86a06e4c0f3b37e5f6>\n  * What does the demo show? We automate some tasks on OrangeHRM using a service account.\n* To learn more about the feature and about Intuned in general, here are a few pointers to our docs:\n  * General docs: <https://docs.intunedhq.com/>\n  * Auth Session docs: <https://docs.intunedhq.com/docs/auth-sessions/overview>\n  * How to guides: [how to automate LinkedIn](https://docs.intunedhq.com/docs/guides/auth/how-to-automate-linkedin) and [how to do credentials based authentication](https://docs.intunedhq.com/docs/guides/auth/how-to-authenticate-with-credentials).\n\n# **Our Ask & Onboarding**\n\n* Does this set of features sound like something you need? We are ready to onboard developers starting today: <https://cal.com/team/intuned/get-started>\n* Do you know someone facing these challenges? [Email us](mailto:founders@intunedhq.com)",
        "url": "https://www.ycombinator.com/launches/Lpq-intuned-auth-sessions-build-authenticated-scrapers-and-rpa",
        "votes": 30,
        "created_at": "2024-09-11T14:20:22.252Z"
      },
      {
        "id": 81730,
        "title": "Intuned - The browser automation platform for developers and product teams",
        "tagline": "Develop, deploy, and monitor reliable web scrapers and browser automations",
        "body": "### **TL;DR**\n\nUse [Intuned](https://intunedhq.com/) to develop, deploy, consume, and monitor reliable web scrapers and browser automations. Reliability is powered by AI.\n\n### **❌ The Problem**\n\nStartups increasingly rely on browser automation for data scraping and RPA (Robotic Process Automation: automate what doesn’t have APIs via UI). However, the process of building, deploying, and maintaining these automations is fraught with challenges:\n\n* Building and deploying browser automations requires specialized infrastructure that can be complex to set up and maintain.\n* Browser-based automations are inherently fragile. Over 100 conversations with founders, product managers, and integration team members revealed a unanimous concern: the reliability and maintenance headache of scrapers and RPA.\n* The lack of monitoring tools for browser automations complicates the prompt detection and resolution of issues that occur during automation operations.\n\n### **✨ Our solution**\n\n[Intuned](https://docs.intunedhq.com/) is the platform for developers and product teams to develop, deploy, consume, and monitor **reliable** web scrapers and browser automations. We use LLMs to make common browser automation tasks easier to build and more reliable. Check out our docs ([https://docs.intunedhq.com](https://docs.intunedhq.com/)) for more info.\n\n<https://youtu.be/FegYJWg9vcU?si=02O_Y2w6oqvZO71J>\n\n### **How does it work?**\n\n**Develop**\n\nThe Intuned platform has an IDE built to speed up the process of building browser automations. Intuned IDE comes with custom features like action recording, selector creator, and more! To learn more, check out [**Develop**](https://docs.intunedhq.com/docs/platform/develop/overview).\n\n![uploaded image](/media/?type=post&id=81730&key=user_uploads/1063634/fd5e1fb7-0bff-44be-9444-1c33f8f14e84)\n\n**Deploy**\n\nIntuned’s projects can be deployed with a single click and within a minute. To learn more, check out [**Deploy**](https://docs.intunedhq.com/docs/platform/deploy).\n\n![uploaded image](/media/?type=post&id=81730&key=user_uploads/1063634/7f553275-4f64-4325-a19a-87cb7dd6b3d8)\n\n**Consume**\n\nStart consuming your projects by making API calls directly or scheduling jobs for scraping tasks. To learn more, check out [**Consume.**](https://docs.intunedhq.com/docs/platform/consume)\n\n![uploaded image](/media/?type=post&id=81730&key=user_uploads/1063634/0ac65a69-0a97-4777-b0b8-47ea18aa1ec0)\n\n**Monitor**\n\nGet proactive alerts on failures - with access to previous runs’ traces, recordings, and results. To learn more, check out [**Monitor.**](https://docs.intunedhq.com/docs/platform/monitor)\n\n![uploaded image](/media/?type=post&id=81730&key=user_uploads/1063634/3d319b39-591b-4947-97b7-0f086b324101)\n\n**Reliability**\n\nAs part of the Intuned platform, we provide the `@intuned/sdk` , a library built on top of Playwright, extending its capabilities by offering powerful helpers designed for common browser automation tasks. The `@intuned/sdk` enhances Playwright by making automation tasks more reliable and easier to implement.\n\n### **Our story - why build this?**\n\nFaisal and I started our YC journey working on an analytics platform. However, our background at UiPath drew founders to us with challenges around scaling manual processes. These interactions revealed the inefficiency of classic RPA tools for customer-facing integrations. When the time to pivot arrived, we analyzed YC startups batch-by-batch and observed a rising trend: many founders were venturing into areas requiring non-standardized access.\n\nOver 100 conversations with founders, product managers, and integration team members revealed a unanimous concern: the complexity and reliability of building and maintaining such integrations. Over the past few months, we've handled over a million requests for our early customers who are setting up their large-scale scrapers/automations.\n\n### **Our ask to you**\n\nAre you a dev building a scraper or browser automations? Or have you been postponing building those? Check out [Intuned](https://intunedhq.com/), or just chat with us [here](https://cal.com/team/intuned/get-started).\n\nKnow someone facing these challenges? We appreciate introductions! Contact us for an introduction blurb to facilitate the process.\n\n### **Docs and How-to guides**\n\nGeneral docs: <https://docs.intunedhq.com>\n\nQuick start: <https://docs.intunedhq.com/docs/getting-started/quick-start>\n\nBuild your first scraper - webhook sink: <https://docs.intunedhq.com/docs/guides/scrapers/how-to-scrape-to-webhook>\n\nBuild your first scraper - S3 sink: <https://docs.intunedhq.com/docs/guides/scrapers/how-to-scrape-to-s3>\n\nScrape data from web and files: <https://docs.intunedhq.com/docs/guides/scrapers/how-to-scrape-files>\n\nWeb data extraction (how you don’t need selectors anymore!): <https://docs.intunedhq.com/docs/data-extraction/web-data-extraction>",
        "url": "https://www.ycombinator.com/launches/LGE-intuned-the-browser-automation-platform-for-developers-and-product-teams",
        "votes": 54,
        "created_at": "2024-06-25T15:00:44.188Z"
      },
      {
        "id": 64781,
        "title": "🎵 Intuned - The data assistant for engineering leaders",
        "tagline": "We help engineering managers rein in the chaos",
        "body": "**TL;DR:** [Intuned](https://www.intuned.io/) is the data assistant for engineering leaders. [Watch our demo](https://bit.ly/3PIvCY2) to see how it works, and [email us](mailto:founders@intuned.io) if you want to learn more or get early access!\n\nWe are [Faisal](https://www.linkedin.com/in/faisal-ilaiwi-77356135/) and [Zawad,](https://www.linkedin.com/in/zawad-chowdhury/) and we are building [Intuned](https://www.intuned.io/)! We are on a mission to help engineering leaders!\n\n### **❌ The Problem**\n\nBeing an engineering manager day to day is not easy. There is a lot that engineering managers are dealing with, here are a few of the many issues we are trying to help with:\n\n* When it comes to people, many management decisions rely on gut feeling **alone.** This is why the performance-reviews period is a tough one.\n* There are a lot of repetitive, ad-hock, and manual tasks that are expected from a manager. An example is the regular reporting managers are often asked to prepare. Another one is the periodic planning activities that teams go through.\n* Driving change within organizations is hard, what makes it harder is the lack of an easy way to set measurable goals and track progress towards achieving them.\n* Managers have to deal with a set of different tools day to day, these tools all have different and inflexible notification systems, which makes them (as notification systems) useless. This is why managers use a pull model (go check on things) vs. a push model (they get notified) on the things they care about.\n\n## **✨ Our Solution**\n\nWhile the problems above are common with most managers, the exact way they can be solved will depend on the manager, their team, their processes, and the systems they use. There is NO one-size-fits-all here!\n\nWith [Intuned](https://www.intuned.io/)_,_ we are providing a toolbox to help!\n\nAs an engineering leader, [Intuned](https://www.intuned.io/) will enable you to connect your data from the different systems you and your team use (Jira, Github, Notion, Excel, and more) and will give you a powerful way to query it, explore it, build metrics, and actions on top of it.\n\nUsing this flexible approach, we believe we can help managers with many of their regular tasks, and save them time, effort and randomization.\n\n[Watch our 4-min demo to see how it works](https://www.youtube.com/watch?v=xzFTvSwFaqs)\n\n### **⚙️ How does it work?**\n\n**🔗 Connect your data with a few clicks.**\n\n![uploaded image](/media/?type=post&id=64781&key=user_uploads/224423/95454f4b-64db-4a06-9e08-b3550b138824)\n\n**❓ Query and explore your data - save hours on building manual reports.**\n\n![uploaded image](/media/?type=post&id=64781&key=user_uploads/224423/107f6c59-9790-4eb4-a040-78e18dffdeda)\n\n**🔔 Setup a custom notifications - never miss a critical issue again!**\n\n![uploaded image](/media/?type=post&id=64781&key=user_uploads/224423/482e12d8-d5c3-4eb8-be56-e78960e44a0d)\n\n🏗️ **Why build this?**\n\nAs a former engineering manager myself, this is the product that I wish I had!\n\n2\\.5 years ago, I became a manager for an engineering team of 2 that end up growing to around 20 people by the time I left _UiPath_.\n\nAs my team was scaling, we experienced growing pains with engineers being blocked, deployments getting delayed, and overall team execution lagging. I realized our software delivery process wasn’t keeping up but I couldn’t pin point what it was. So I ended up building a small tool to help! That tool ended up being very useful. That tool is the inspiration behind [Intuned](https://www.intuned.io/).\n\n### **Let’s Talk!**\n\nIf you or someone you know are a leader of an engineering team who is feeling some of these pains, we think [Intuned](https://www.intuned.io/) can help! please [email us](mailto:founders@intuned.io) or [schedule a meeting](https://calendly.com/intuned/15min) with us.",
        "url": "https://www.ycombinator.com/launches/Gqr-intuned-the-data-assistant-for-engineering-leaders",
        "votes": 241,
        "created_at": "2022-07-20T23:49:02.445Z"
      }
    ]
  },
  {
    "id": 27258,
    "name": "AccessOwl",
    "slug": "accessowl",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f47d40efa2ec60ceb6de3d5dad85ab504f1c80f.png",
    "website": "https://www.accessowl.io/",
    "all_locations": "Berlin, Berlin, Germany; Remote",
    "long_description": "AccessOwl automates employee SaaS account provisioning and permissioning for any tool. IT teams from companies like Zeplin and Sary save 30 minutes on every request.\r\n\r\nAccess management used to be an enterprise problem. With work from home, exploding SaaS usage and the need for SOC2 certifications startups have the same problems as enterprises. \r\n\r\nMathias and Philip have built several startups and teams before and experienced the same problems around access management over and over again. Philip was the CEO and Co-Founder of blik, an award winning IoT solution that was used by Volkswagen and BMW. Mathias built the leading private payment infrastructure provider in Germany as well as the first digital car insurance as Co-Founder and CTO. Based on these experiences we decided to build a solution we wish we could have used when building our former companies.\r\n\r\nAccessOwl can be deployed within minutes instead of weeks by simply installing a Slack application. We save companies that use AccessOwl 30 minutes for every access request, on- and offboarding. ",
    "one_liner": "Managing your Employees' Access to SaaS",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1655853975,
    "tags": [
      "SaaS",
      "B2B",
      "Compliance",
      "Security"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "Germany",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/accessowl",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/accessowl.json",
    "year_founded": 2022,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/accessowl",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f47d40efa2ec60ceb6de3d5dad85ab504f1c80f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 165231,
        "full_name": "Philip Eller",
        "title": "Founder",
        "founder_bio": "As CEO and Co-Founder of blik I sold thousands of IoT devices to BMW and Volkswagen before building out new business units for Compado (Ad-Tech). Scaling from 0-1.8M in profits selling within a single year. AccessOwl is solving the problems we had ourselves when scaling business in the past. ",
        "is_active": true,
        "linkedin_url": "https://de.linkedin.com/in/philip-eller-7667238b",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d03166921ce998207b30302568cfd90ca8fde25c.jpg"
      },
      {
        "user_id": 824799,
        "full_name": "Mathias Nestler",
        "title": "Founder",
        "founder_bio": "Mathias Nestler is the co-founder and CTO of AccessOwl. He is a Forbes 30 under 30 Entrepreneur and CTO with 10+ years of experience in Technology. Former CTO & Co-Founder of FRIDAY.de (InsurTech). Former CTO of viafintech.com (FinTech). Loves to work on great products.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mathias-nestler-a8436044/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4975f24c7b47682decfc9ecdd3ac8fb7eb7aaf8d.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 85154,
        "title": "AccessOwl - SaaS Spend Management",
        "tagline": "Track, manage and reduce your SaaS spend in a single place.",
        "body": "**tl;dr** AccessOwl SaaS Spend management is your single pane of glass across all your SaaS apps, allowing you to keep track, manage, and reduce your SaaS costs.\n\n![uploaded image](/media/?type=post&id=85154&key=user_uploads/165231/fc45f909-ef8a-4412-bf4f-35dbf1c1b8a5)\n\n**The Problem**\n\nWith SaaS apps multiplying across teams, budgets spiral due to overlooked renewals and unused licenses. Manual tracking via spreadsheets is inefficient, leading to hidden costs and wasted resources for finance and IT teams.\n\n**The Solution**\n\n**AccessOwl SaaS Spend Management** offers real-time cost visibility and centralized tracking to streamline SaaS management. By automating renewal alerts and usage insights, it empowers companies to cut waste and control SaaS spend efficiently.\n\n![uploaded image](/media/?type=post&id=85154&key=user_uploads/165231/594c73b0-0c58-4484-874e-c06f9d5f5f81)\n\n**Key Features**\n\n• **Cost Transparency on Access Requests**: Employees can now see the price tag on every seat and license before adding new software, keeping budgets on track from the start.\n\n• **Centralized Cost Tracking**: Filter SaaS costs by department, team, or individual employee. Get clear insights without the usual hassle of piecing together spreadsheets.\n\n• **Renewal Calendar**: Never miss a renewal or an opportunity to negotiate. The renewal calendar and usage insights help teams optimize spend, avoiding the waste of unused or forgotten subscriptions.\n\n• **Automatic Usage Tracking**: AccessOwl automatically tracks usage and flags unused accounts so you can cut out the fat and make every dollar count.\n\n![uploaded image](/media/?type=post&id=85154&key=user_uploads/165231/5203a6b2-3e37-4441-9a66-726230261a02)\n\n**Uncover all of your SaaS apps first**\n\nThe [free Shadow IT scan](https://www.accessowl.com/scan) gives you a quick and easy overview of every SaaS app that’s used within your organization.\n\n**🚀 Getting started with tracking, managing, and reducing SaaS spend**\n\nVisit [AccessOwl.com](http://AccessOwl.com) to learn more, or book a demo [here](https://calendly.com/d/dyj-q7w-qmb/accessowl-demo).",
        "url": "https://www.ycombinator.com/launches/M9S-accessowl-saas-spend-management",
        "votes": 13,
        "created_at": "2024-10-30T18:56:16.804Z"
      },
      {
        "id": 81875,
        "title": "AccessOwl: Discover every hidden SaaS app and their users",
        "tagline": "🔍 Losing track of your SaaS apps? Uncover your Shadow IT with a single-click",
        "body": "Losing track of who has access to which apps is a nightmare. In [**Mathias Nestler**](https://www.linkedin.com/in/mathias-nestler-a8436044/) and my previous roles as CTO, COO, and CEO, the problem usually came up in one of three ways:\n\n1. **Missed Employee Offboardings:** If I don’t know which apps the employee used, it’s impossible to fully offboard them. There’s nothing worse than finding out an employee who left for your competition still has access to company data.\n2. **Failing Compliance:** The first question an auditor will ask is what systems you use. Knowing where your company data lives is at the core of any audit.\n3. **Unwanted Costs:** It sucks to find out that you pay for multiple apps that essentially do the same. You can only keep your team accountable if you know what they use.\n\nIn the world of IT administration this challenge is called ‘Shadow IT' - apps you are not aware being used by your team.\n\nHistorically, the only options have been to repeatedly ask employees to fill out a Gsheet with any apps they remember using or to manually search through Google Workspace OAuth logs.\n\n**Here’s a better option:** [**Uncover all SaaS apps and their users in a single click!**](https://www.accessowl.io/scan)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=81875&key=user_uploads/165231/04941cdd-2f76-4b0c-b7f4-e44d0b1a41d1)\n\n[**Scan now!**](https://www.accessowl.io/scan)\n\n_The Shadow IT scanner will find any SaaS app your employees use in combination with Google or Microsoft sign-in._\n\n### FAQ\n\n> **Why do you offer this for free?**\n\nKnowing who has access to what should be the standard for all of us. We want to bring attention to the need to manage your access proactively, which is why we decided to offer a part of our product for free.\n\n> **How does it work?**\n\nAccessOwl reads your organization’s OAuth logs and matches them with our SaaS database. As a result, you’ll see which apps have been used and by whom.\n\n> **What if a user signed up with email/password and didn’t use ‘Sign in with Google/Microsoft’?**\n\nThis feature is not currently part of the free scan. However, our core product offers advanced Shadow IT detection, which includes checking for invitation emails.\n\n> **Is this safe to use?**\n\nYes, reading OAuth logs is common practice for SaaS management vendors. The data is only extracted when you actively request a scan. AccessOwl is SOC 2 Type II audited and GDPR compliant.\n\n[**Start your Shadow IT scan now!**](https://www.accessowl.io/scan)\n\nSurprised by the results? [_Book a free 1:1 consultation_](https://calendly.com/accessowl/30m) _with one of the AccessOwl founders to learn about best practices for keeping track of user access!_",
        "url": "https://www.ycombinator.com/launches/LIZ-accessowl-discover-every-hidden-saas-app-and-their-users",
        "votes": 19,
        "created_at": "2024-07-03T15:20:28.896Z"
      },
      {
        "id": 64758,
        "title": "AccessOwl: Automate SaaS access for your employees",
        "tagline": "SaaS account provisioning and permissioning for your workforce. Save 30 minutes on every access request.",
        "body": "**tl;dr AccessOwl automates how your employees receive access to SaaS tools. Provision any tool, no matter what API is available. IT teams from companies like Zeplin save 30 minutes on every access request.**\n\n## **📜 The Story**\n\nManually creating software accounts, documenting it in Gsheets and rushing through dozens of tools with every offboarding. Those are struggles we faced time over time when building prior startups. Available solutions only cover a fraction of the tools and require expensive upgrades to enterprise-subscriptions ([SSO.Tax](http://SSO.Tax)). That’s why we built an easy-to-use tool with a Slack-UI that every employee knows how to work with and bundled it with unmatched provisioning capabilities (hundreds of apps!).\n\n![uploaded image](/media/?type=post&id=64758&key=user_uploads/165231/b1769bda-60e3-4cf9-9085-59489077abd7)\n\n## **❌ The Problem**\n\n1. **30 minutes wasted for every Access Request**: Your workforce needs to request, approve, provision, communicate & document for every single access request\n2. **Enterprise subscriptions needed**: Other solutions only work with specific APIs (SCIM/SAML) for which the highest enterprise subscription is needed (”SSO Tax”).\n3. **Compliance & Security**: Documenting who has access to what is a manual and tedious process that never is 100% accurate\n\n## **✨ The Solution**\n\n1. **Automated workflows in Slack**: On- & Offboardings, Access Requests and Approvals all handled directly in Slack. Stop the JIRA ticket-flood - saving your workforce time and nerves.\n2. **Provisioning & Permissioning**: AccessOwl is the future of Access Management. It handles all account changes (creation, deletion, updates) for all SaaS applications. The best: It works no matter what API is available.\n3. **Stay SOX, SOC2, HiPAA, ISO27001 compliant:** Full Audit-trail about who has access to what and ability to schedule recurring Access Reviews.\n\n![uploaded image](/media/?type=post&id=64758&key=user_uploads/165231/22da2853-f0c9-4beb-afd3-0d940596e675)\n\n## ⚡ **How it Works**\n\n1. **Install it in Slack:** Give your employees access in one single click\n2. **App Discovery & Sync**: Let AccessOwl discover all applications used by your team by connecting to your Google Workspace\n3. **Start (De)Provisioning**: Have AccessOwl automate all of your provisioning and deprovisioning tasks\n\n## 🌐 **Integrations**\n\nAccessOwl already works with over 100+ applications. Let us know which are the most relevant to you!\n\n![uploaded image](/media/?type=post&id=64758&key=user_uploads/165231/f9b7f249-5d53-42db-b35e-672c9f09eacc)\n\n### **Try out AccessOwl 7-days for free** or [book a demo with us](https://calendly.com/accessowl/accessowl-demo)",
        "url": "https://www.ycombinator.com/launches/GqU-accessowl-automate-saas-access-for-your-employees",
        "votes": 38,
        "created_at": "2022-07-20T13:07:22.390Z"
      }
    ]
  },
  {
    "id": 27261,
    "name": "Integrated Reasoning",
    "slug": "integrated-reasoning",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7abc96adeb32772a65759b3c7fb44df00a0e11db.png",
    "website": "https://integrated-reasoning.com",
    "all_locations": "San Diego, CA, USA; Kilauea, HI, USA; Remote",
    "long_description": "Integrated Reasoning builds efficient computer processors that are tailored to the memory access patterns of Karp's 21 NP-complete problems. We’re making it 100x - 10,000x faster to perform computations like scheduling airline pilots or optimizing packing layouts for shipping containers.",
    "one_liner": "Faster processors for solving NP-complete problems",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1656696534,
    "tags": [
      "Developer Tools",
      "Hard Tech",
      "Hardware",
      "SaaS",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": true,
    "demo_day_video_public": false,
    "app_answers": [
      {
        "question": "Describe what your company does in 50 characters or less.",
        "answer": "Insanely fast silicon for NP-complete algorithms."
      },
      {
        "question": "How long have each of you been working on this? How much of that has been full-time? Please explain.",
        "answer": "I founded Integrated Reasoning in December of 2021. I started working on the idea full-time as of March 2022."
      },
      {
        "question": "What is your company going to make? Please describe your product and what it does or will do.",
        "answer": "Integrated Reasoning designs processors that are tailored to the memory access patterns of NP-complete algorithms. Think GPUs but for optimization and constraint satisfaction problems (e.g. the knapsack problem.)\r\n\r\nComputing solutions to many NP-complete problems requires a massive amount of data transfer between the CPU and DRAM. Memory bandwidth is the bottleneck of modern computing, as discussed in \"Hitting the memory wall: Implications of the obvious.\" [1]\r\n\r\nThe memory wall is such a critical problem that it motivated much of the design behind Apple's M1 architecture. See also this excellent 2017 article [2] by Brendan Gregg, who is widely known for his expertise in system performance engineering.\r\n\r\nI believe Integrated Reasoning presents a win-win-win:\r\n- Customers win by spending less money renting servers, less time waiting for computation, and most importantly, can work on something other than wrangling clusters of computers.\r\n- The Earth and its inhabitants win because less energy will be required to search for countless digital needles in enormous digital haystacks (i.e. combinatorial optimization problems.)\r\n- Integrated Reasoning wins because it can make a profit while pricing its products far below the cost of running the equivalent workload on a cluster of servers.\r\n\r\n[1] Wulf, Wm A., and Sally A. McKee. \"Hitting the memory wall: Implications of the obvious.\" ACM SIGARCH computer architecture news 23.1 (1995): 20-24.\r\n[2 ] [https://www.brendangregg.com/blog/2017-05-09/cpu-utilization-is-wrong.html](https://www.brendangregg.com/blog/2017-05-09/cpu-utilization-is-wrong.html)\r\n\r\nNote: Integrated Reasoning does not aim to answer the famous P versus NP question."
      }
    ],
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/integrated-reasoning",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/integrated-reasoning.json",
    "year_founded": 2021,
    "city": "San Diego",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/integrated-reasoning",
    "x_url": "https://twitter.com/IntegrateReason",
    "fb_url": null,
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        "body": "**Problem:**\n\nLogistics is expensive.\n\nImagine you’re a shipping company. Every day, you need to pack 100,000 boxes into shipping containers. How many containers do you need? Which boxes go into which containers? A common solution to this problem is to run [Google’s “OR-Tools” software](https://developers.google.com/optimization) in the cloud. This works, but it’s slow and the costs add up. Integrated Reasoning builds an alternative solution that is faster and cheaper.\n\n**Solution:**\n\n[Integrated Reasoning](http://ir.design/) provides hardware for solving optimization problems that can be quickly deployed in the cloud and scaled as needed. You don’t need any knowledge of hardware or firmware to use our products, and we provide generous support to make sure that the transition is smooth.\n\n**Reach out to us!**\n\nWe’re working on a series of hardware products for optimization. We would love to hear from folks that work on scheduling, routing, packing, networks, or other optimization problems; even if you’re not sure if our hardware could help.\n\nYou can reach out to Brycen and David at [hello@ir.design](mailto:hello@ir.design) or find out more at [ir.design](http://ir.design).",
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        "title": "Mogara - Automatic software R&D capitalization 💰",
        "tagline": "We automate capitalizing software R&D expenses for accounting teams",
        "body": "**TL;DR** Mogara automates capitalizing software R&D expenses (now required for all software companies filing taxes in the US).  Let’s talk if you do accounting at a software company with 30+ engineers and are responsible for R&D capitalization.\n\n### **Problem**\n\nThe IRS made a change that impacts all software companies filing taxes in the US for the 2022 tax year and beyond: everyone needs to capitalize their software development costs.\n\nFor most accounting and engineering leaders, this is painful news: they’ll review projects over a quarter, determine what’s capitalizable based on the Internal Revenue Code, and send time tracking surveys for engineers to fill out on a quarterly basis. The time tracking surveys will need to be completed in order for accounting to close the books. \n\nRelying solely on issue trackers like Jira is not much better. Controllers say the fields they need aren’t reliably filled in, so they end up in a painful spiral of reminders - or falling back on time tracking surveys.\n\n### **Solution**\n\nMogara automates software R&D capitalization. Every software company filing taxes in the US now needs to capitalize software R&D, representing a $13B opportunity for a process that’s currently manual reporting.\n\n![uploaded image](/media/?type=post&id=70141&key=user_uploads/881211/c0f0c07e-517d-4a9f-a100-afe1683c747a)\n\n💻 Integrate with your software team’s IDE(s) & code repository for data collection\n\n⚙️ Connect with issue tracking tools like Jira for easy categorization\n\n💸 Tie in payroll data from your HRIS system to determine capitalizable costs for software development\n\n🔢 Set up and track capitalizable projects with a simple wizard interface\n\n### **How’d we get here?**\n\nWe’ve built simple user experiences for complex financial systems.\n\n![uploaded image](/media/?type=post&id=70141&key=user_uploads/881211/468ad4e6-2f34-4ec4-862d-f5f0ad664c5c)\n\nNeha worked as a product manager at Affirm building traceability and reporting for the company’s multi-million dollar daily money movements. She saw how tough it could be for the accounting team to get the data they needed from software teams.\n\nJay worked at Stripe as a product engineer for nearly 5 years after getting acquired as an early engineer at a startup called Index, where he worked on several complex regulated fintech products.\n\nWe met through a mutual friend last year and hit it off. We share a love for good pizza, making memes of Jay’s kid, and music. Together, we have over a decade of product development experience and we’ve been at companies from the early stages all the way through preparing for IPO.\n\n# **Ask**\n\nIf you do accounting at a software company with 30+ engineers and are responsible for R&D capitalization, let’s talk.\n\nDrop us a note at [founders@mogara.app](mailto:founders@mogara.app) or sign up on our [website](http://mogara.app).",
        "url": "https://www.ycombinator.com/launches/IFJ-mogara-automatic-software-r-d-capitalization",
        "votes": 34,
        "created_at": "2023-03-10T17:17:01.594Z"
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    "id": 27491,
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    "all_locations": "Lehi, UT, USA",
    "long_description": "Sameday is the AI workforce for the trades — outperforming humans at high-stakes, revenue-critical work, such as sales, dispatch, and more.",
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    "subindustry": "B2B -> Sales",
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    "year_founded": 2021,
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      {
        "user_id": 902840,
        "full_name": "Aaron Cooper",
        "title": "Founder",
        "founder_bio": "Formerly the Chief Marketing Officer of the fastest growing home services company in the US. I now run a startup that solves the biggest pain in the home services space. Answering the phone.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aarongcooper/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/071775aa0a120ee489fb02fd75a6fd36aebc357d.jpg"
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    "jobs": [
      {
        "id": 55427,
        "title": "Fullstack Engineer (AI Emphasis)",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/b0Ije7T-fullstack-engineer-ai-emphasis",
        "location": "lehi, utah",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$165K - $225K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Next.js"
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      },
      {
        "id": 56597,
        "title": "Account Executive (B2B)",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/pEQXKj6-account-executive-b2b",
        "location": "Lehi, UT",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $120K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 61284,
        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/ylhHaMO-frontend-engineer",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$125K - $150K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "Next.js"
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      },
      {
        "id": 66986,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/n19CuRo-backend-engineer",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$145K - $165K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python"
        ]
      },
      {
        "id": 69928,
        "title": "Senior Backend Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/mfm2kJ6-senior-backend-engineer",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$175K - $225K",
        "equity_range": "0.01% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python"
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      },
      {
        "id": 69929,
        "title": "Senior Front-end Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/QOLxuc7-senior-front-end-engineer",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$155K - $215K",
        "equity_range": "0.01% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Python"
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      },
      {
        "id": 69930,
        "title": "Senior QA Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/UQGeZeZ-senior-qa-engineer",
        "location": "Lehi, UT, US",
        "type": "Full-time",
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        "role_type": "QA engineer",
        "salary_range": "$155K - $215K",
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        "experience": "6+ years",
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      },
      {
        "id": 69931,
        "title": "Product Manager",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/spnP7Cz-product-manager",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$135K - $165K",
        "equity_range": "0.01% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Git"
        ]
      },
      {
        "id": 84175,
        "title": "Revenue Operations Manager",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/K7MDzAx-revenue-operations-manager",
        "location": "Pleasant Grove, UT, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$85K - $130K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Check Out 55 Generative AI Startups in Y Combinator's Latest Batch",
        "url": "https://www.businessinsider.com/generative-ai-startups-launch-ycombinator-demo-day-winter2023-2023-4#sameday-38",
        "date": "Apr 24, 2023"
      }
    ],
    "launches": [
      {
        "id": 65994,
        "title": "📞 Sameday: Always be available.",
        "tagline": "Sameday answers any calls your sales team otherwise would miss and follows up until the sale is made.",
        "body": "Super thrilled to share Sameday with all of you!\n\nOur customers say they’ve never heard anything like it, and that’s the point. People love talking to Sameday’s virtual sales agents. Not only does Sameday sound ultra-human, but it acknowledges a customer’s pain, overcomes objections, and follows up until the sale is made. With a close rate of 80%. \n\nYes, you read that right.\n\n**Sameday’s virtual sales agent closes 80% of all sales calls it receives.**\n\n### **❌ The Problem**\n\nHome service businesses fail to answer 62% of phone calls.\n\nPaying 4X more per lead than any other industry, missing just one sales call costs $80 on average. \n\n**Third-party call centers are expensive.** Averaging several dollars per minute, they also fail schedule services effectively; resulting in low sold to service rates and an even higher cost per acquisition. (Most of Sameday’s customers switched from a third-party call center)\n\n**Staffing is difficult.** Most hire family and friends to answer the phone, while others attempt to answer it themselves…while on the job…covered in who knows what. Some have large call centers, struggling to balance an acceptable ROI and the turnover that comes with a call center. (Many Sameday customers have call centers with 50+ employees)\n\n### **✅ The Solution**\n\nA virtual sales agent that answers any phone calls your team would otherwise miss. But it doesn’t stop there…\n\n**Sameday follows up, initiating outbound calls on its own to ensure every lead gets on the schedule.**\n\nCombine that with Sameday’s ability to onboard new customers in seconds, ultra-human voice, which we call, “Pro Voice”, and the ability to overcome objections, Sameday eliminates all the common pitfalls of other AI solutions, resulting in our customers saying, “Wow”.\n\n**You can learn more at** [**gosameday.com**](https://www.gosameday.com/)\n\n![uploaded image](/media/?type=post&id=65994&key=user_uploads/902840/c08a1316-dc73-4e4e-9ceb-8e27c9800f3d)\n\n",
        "url": "https://www.ycombinator.com/launches/HAQ-sameday-always-be-available",
        "votes": 29,
        "created_at": "2022-09-12T16:02:58.374Z"
      }
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    "id": 27492,
    "name": "Zudo",
    "slug": "zudo",
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    "website": "https://zudo.work/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Zudo is building the AI workforce for the $100B+ warranty and extended service contract industry.\r\n\r\nOur AI workers automate complex, high-volume operations for automotive and home warranty companies — including claims processing, coverage verification, authorizations, customer support, renewals, and sales.\r\n\r\nUnlike traditional chatbots and copilots, Zudo's agents execute workflows end-to-end, interacting with customers over voice and digital channels while taking actions across existing enterprise systems. We're transforming an industry built on manual processes and phone calls into one powered by autonomous AI workers.",
    "one_liner": "AI Workers for Extended Service Contracts",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1680111928,
    "tags": [
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/zudo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/zudo.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 583810,
        "full_name": "Akash Gupta",
        "title": "Founder",
        "founder_bio": "Akash Gupta graduated with distinction in chemical engineering and began his career as a process engineer at Shell. He later joined RBC Capital Markets as an Associate Strategist on the Commodities team before becoming a Y Combinator-backed founder, building zudo.work.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akash-gupta-86580677/",
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    "jobs": [
      {
        "id": 116353,
        "title": "Forward-Deployed Engineer — AI Agents",
        "url": "https://www.ycombinator.com/companies/zudo/jobs/9SpnZlu-forward-deployed-engineer-ai-agents",
        "location": "CA / US / Remote (CA; US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$90K - $140K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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      },
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        "url": "https://www.ycombinator.com/companies/zudo/jobs/EW0JY9V-forward-deployed-engineer-ai-agents",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
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      {
        "id": 80334,
        "title": "🔎 Nucleus - LLM search across sales transcripts for Product Marketing teams",
        "tagline": "LLM powered conversational search engine over sales calls that helps product marketing teams discover what to build and pitch at the speed of thought. ",
        "body": "**tl;dr:** Product marketing teams spend hours listening to sales calls or using archaic keyword searches that often lead to false positives. We are building an LLM-powered search engine so Product Marketing teams can unlock the gold that exists in hundreds or thousands of sales calls. Nucleus automatically indexes and buckets hundreds of attributes per B2B client, such as objections, feature requests, and competitor mentions, to power your insights.\n\nHi everyone, we’re Akash, Nikhil, and Anirudh - the team behind Nucleus.\n\n![uploaded image](/media/?type=post&id=80334&key=user_uploads/583810/72ab75fc-307a-4e61-b6e9-bca1a0756bcb)\n\n# **🧨 The problem - hours spent listening to calls**\n\nProduct marketing teams spend hours listening to sales call recordings or painfully searching through transcripts by keywords to inform their sales pitch, marketing campaigns, upsells/cross-sells, and product roadmap. \n\nTake our client Jacob as an example. Jacob is a Product Marketing Manager who is responsible for positioning his product against competitors. He has to sit through call recordings to understand how prospects perceive competitors and how his company’s pitch is resonating with clients. He even hired a sales enablement analyst recently to organize calls and deliver insights to him.\n\n# 🎉 **The solution - ask Nucleus**\n\nNucleus empowers PMMs with **Revenue Reasoning** and **Revenue Observability** to convert thousands of sales calls into actionable insights.\n\nWith Nucleus Revenue Reasoning, product marketing teams can ask Nucleus a question in plain English like “Show me stage 1 prospects that were previously using Zoominfo for prospecting and what are their limitations with it?”. Nucleus will answer the question directly with LLM reasoning, along with supporting evidence from client calls.\n\n![uploaded image](/media/?type=post&id=80334&key=user_uploads/208653/ea5c36a8-aec6-4dac-828b-17f0abbcedb3)\n\nRather than relying on just keywords that often lead to false positives, with Nucleus Revenue Observability, Jacob can set up LLM-powered smart trackers that ping him in real-time when something he cares about happens in a call, such as when a prospect describes how they perceive a competitor. Nucleus’s LLMs go beyond archaic and often unfruitful keyword matching and instead reason over entire calls to deliver insights.\n\n![uploaded image](/media/?type=post&id=80334&key=user_uploads/208653/523b9be7-9531-457f-9e71-ea11e5c29e4b)\n\n# **👋 Asks**\n\n**Follow our journey on **[**Twitter**](https://twitter.com/NucleusLLM)** & **[**LinkedIn**](https://www.linkedin.com/company/nucleus-yc)**.**\n\n* If you are a B2B company that does more than 30 calls a week, [talk to us to see](https://calendly.com/akash-88/nucleus-ai) if we can be of help.\n* Share this post with your Product Marketing friends at B2B companies.\n\nThank You 🙏",
        "url": "https://www.ycombinator.com/launches/Kti-nucleus-llm-search-across-sales-transcripts-for-product-marketing-teams",
        "votes": 24,
        "created_at": "2024-04-22T17:50:45.342Z"
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    "id": 27655,
    "name": "Avoca",
    "slug": "avoca",
    "former_names": [
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    "website": "https://www.avoca.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "We specialize in voice and can close customers across every channel 24/7. ",
    "one_liner": "AI-powered Sales Agent for Service-Based Industries",
    "team_size": 85,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1678089361,
    "tags": [],
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    "top_company": false,
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    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
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    "stage": "Growth",
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    "year_founded": 2022,
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      "name": "Diana Hu",
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        "user_id": 543494,
        "full_name": "Apurva Shrivastava",
        "title": "Founder",
        "founder_bio": "Apurva is a 2nd time founder who studied CS at MIT and has worked on AI products at Apple, Sunshine, and was most recently at Retool where I did engineering. Growing up in Michigan, he helped his parents handle tiresome communications while establishing their own small business.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/apurva-shrivastava-138b19a0/",
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      {
        "user_id": 528003,
        "full_name": "Tyson Chen",
        "title": "Founder",
        "founder_bio": "Cofounder of Avoca. Previously I was an early PM at Nuro for 3 years trying to make self-driving goods delivery a reality. Before that, I worked as a consultant at BCG in NY for 2 years, helping bring AI to multiple F500 companies. I studied CS at MIT where I focused on ML research, specifically using generative AI for drug discovery. As a kid, I helped manage communications for my mom's acupuncturist business in Pennsylvania.  ",
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        "title": "The AI Agents Helping Home Services Book More Jobs",
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        "date": "Jun 29, 2026"
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        "id": 70104,
        "title": "Avoca – AI-powered communications platform for SMBs",
        "tagline": "We’re equipping every SMB with an intelligent, 24/7 customer communications platform so business owners can get back to focusing on their core business",
        "body": "# **TLDR;**\n\nSMBs lack the tools, people, and time to effectively capture customer intent, convert customer interest, and build customer loyalty. That’s where we come in. [Avoca](https://www.avoca.ai/) handles all customer inbound interest as well as outbound communications.\n\n### **We’re two good friends from college that love building AI-first products:**\n\n![uploaded image](/media/?type=post&id=70104&key=user_uploads/528003/f441ebc9-0779-465e-934c-9dfa37a0286b)\n\n[Apurva](https://www.linkedin.com/in/apurva-shrivastava-138b19a0/) is a 2nd time founder who studied CS at MIT and has worked on AI products at Apple and Sunshine. He most recently was an engineer at Retool where he worked with some of their largest customers. Growing up in Michigan, he helped his parents handle communications with their own small business.\n\n[Tyson](https://www.linkedin.com/in/tysonchen17/) studied CS at MIT where he worked on generative AI for drug discovery. Since then he’s worked on AI projects for F500 companies at BCG and as a PM at Nuro. He’s seen the problem first hand at home with his mom’s local acupuncture business.\n\n### **❌ The Problem**\n\n**SMBs lack the resources to properly manage their customer communications.**\n\n* They miss over half their phone calls \n* 85% of the time when a call is missed, the customers don’t leave voicemails or call back; they often choose a competitor\n* They have delayed responses to texts / emails\n* They lack organized ways to activate customer loyalty and create repeat business\n\n**Existing alternatives are either expensive or inefficient.**\n\n* Receptionists (both virtual & non-virtual) are costly, not 24/7, require days of onboarding time, and have high variance in terms of performance\n* Call centers are costly (few dollars / minute), inconsistent, don’t integrate with business systems (e.g., CRMs), and can only handle calls\n* Existing tech solutions are expensive and limited\n\n### **✨ Our Solution**\n\n[**Example**](https://www.youtube.com/watch?v=2IGVpM4JPUo)\n\n[Avoca](https://www.avoca.ai/) automates all inbound and outbound needs for every SMB.\n\n**Inbound**\n\n* 24/7 phone assistance so no calls are missed again - answer questions, book appointments, collect information\n* Personalized text and email handling - ensure existing and potential customers get fast responses\n\n**Outbound**\n\n* Booking confirmations to minimize cancellations / no-shows\n* Review sequences that boost a business’s Google and Yelp reviews after job completion\n* Follow-ups & promotions to previous customers to build loyalty\n\n### **🙏 Asks**\n\n* 📣 Sharing: Please share this announcement with your network and follow us on [LinkedIn](https://www.linkedin.com/company/avoca-ai/)!\n* 👥 Referrals: If you know of anyone who owns a local business and could benefit from Avoca, please connect us ([founders@avoca.ai](mailto:founders@avoca.ai)). Especially if they are in one of the following verticals: home services, property management, real estate, family medical practice (e.g., dentist, massage therapist), law.",
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        "title": "Infisical raises $16 million Series A led by Elad Gil to safeguard secrets | Fortune",
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        "url": "https://techcrunch.com/2023/07/03/googles-gradient-backs-yc-alum-infisical-to-solve-secret-sprawl/",
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        "title": "💚 Infisical - The open source secrets manager for developers",
        "tagline": "Open source, end-to-end encrypted tool that lets you securely sync secrets and configs across your team, devices, and infrastructure",
        "body": "Hey there, this is team Infisical 🏂\n\n[Infisical](https://infisical.com/) is an open-source, end-to-end encrypted platform for developers to centralize their application secrets and configs, and sync them across their whole development life cycle.\n\nWe launched 3 months ago, and already have 4.2K+ stars on GitHub, 50 contributors, and 220+ community members 🚀\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/00941739-4c42-44c8-92e8-e8fc55f7cb1b)\n\n\n**Imagine this**: You add a new environment variable to your team’s codebase, push it up to GitHub, and head out for dinner. Shortly after, your teammate pulls the latest changes and everything crashes because they're missing that variable.\n\nYou come back to angry messages from your teammate and quickly send them the variable over text, risking a security vulnerability. Everything seems to be working until the next day when you deploy to production, and once again, everything crashes because you forgot to add the environment variable to the production environment.\n\nSounds relatable?\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/d8e6a881-8412-4baf-8f54-b8defb0ecd46)\n\n\n## **Problem**\n\nSecrets play a critical role in every stage of the software development lifecycle, from local development to staging, testing, and production. Even so, teams routinely run into challenges dealing with secret management:\n\n* **Missing secrets across infrastructure**: Having secrets sprawled across infrastructure with no central visibility and control often leads to missing secrets. In turn, applications crash in production and developers lose precious time debugging what’s missing.\n* **Leaking secrets to source control**: Even the biggest companies accidentally expose hardcoded secrets and .env files. When it happens, the consequences are grave.\n* **Lacking self-hosted alternatives**: Many great solutions are not self-hostable or end-to-end encrypted, a challenge for companies requiring it. In a world where security and privacy are increasingly paramount, having these options are essential.\n\n## **Solution**\n\nInfisical provides an open-source, end-to-end encrypted platform for developers to manage their application secrets and sync them across their team and software development lifecycle.\n\nWith Infisical, you can:\n\n* **Securely store and deliver** application secrets to your infrastructure with integrations available for Docker, Kubernetes, AWS, Vercel, GitHub Actions, etc.\n* **Inject secrets** into applications instead of using .env files that often get leaked.\n* **Self-host** Infisical on your own infrastructure.\n* **Enhance observability** of secrets and teammates with secret versioning, rollbacks, and audit logs for every action taken.\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/afe74cca-1292-4f25-b0d5-03ae9fc21327)\n\n\n## **Asks**\n\n* Check out Infisical at <https://infisical.com>\n* Contact [tony@infisical.com](mailto:tony@infisical.com) if your company needs help with secret management\n* Intros to companies that in your experience may benefit from Infisical",
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      {
        "id": 91625,
        "title": "Ops AI by Middleware",
        "tagline": "Ops AI is an observability co-pilot that detects production issues across various sources, including APM traces, RUM, and logs. It then fixes these issues with a single click and generates a pull request in GitHub. ",
        "body": "I’m [Laduram](https://www.linkedin.com/in/laduramvishnoi/), founder and CEO of Middleware. \\\n**TL;DR** \\\nVery excited to introduce our latest launch: [Ops AI](https://middleware.io/product/ops-ai/) — your observability co-pilot that _not only detects_ issues in production, but actually _fixes_ them.\n\n![uploaded image](/media/?type=post&id=91625&key=user_uploads/1149383/7d2659aa-933b-4206-856a-f6107e930704)\n\nWith Ops AI, resolving production problems becomes as simple as clicking a button. When something breaks, you’ll get an alert. From there, just ask Ops AI for a fix — it analyzes the issue, identifies the affected code using GitHub’s MCP server, and automatically creates a pull request with the fix. No more digging through logs or guessing root causes.\n\nhttps://www.youtube.com/watch?v=29pzH-1_Dpc\n\n### Why Ops AI?\n\nMiddleware is a full-stack observability platform — we do infra monitoring, APM, Logs, RUM, Synthetic monitoring, and browser testing. That means we have complete context when something goes wrong and can resolve issues faster and smarter than traditional tools.\n\n# **🙏 Our Ask**\n\nTo celebrate our launch, we’re offering an exclusive **2 million free tokens** and [YC deal](https://bookface.ycombinator.com/deals/2598) to all the YC companies — just [sign up](https://app.middleware.io/auth/register?ga=enabled) and ask for the deal! Or [book a quick demo with me](https://cal.com/laduram/30min?user=laduram).\n\nWould love to hear what you think 💙",
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        "created_at": "2025-06-25T15:14:51.809Z"
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        "title": "🚀 Middleware 📊 : A unified observability platform for cloud native, microservices and distributed apps",
        "tagline": "A real-time cloud-native observability platform to bring all metrics, logs, and traces in one unified timeline to debug issues faster.",
        "body": "Hey YC! 👋 \\\n\\\nI am super excited to launch [Middleware](https://middleware.io)—a **real-time observability platform** that brings all the **metrics, logs, traces, and events** into a single timeline so you can monitor your distributed apps and cloud native platforms in real time.\n\n![uploaded image](/media/?type=post&id=68705&key=user_uploads/1149383/7c01ff47-1f21-4647-9254-b2951dc8d1b8)\n\n### **Problem with existing legacy products**\n\nCurrent observability solutions are built to monitor monolith architectures, not distributed and microservices. This results in the following problems: \n\n* Surface-level information makes it **extremely hard to debug** issues. 🧐\n* Costs 💵 to monitor everything in the infrastructure and applications are **incredibly high**.\n* All the data live in separate apps like logs, metrics, traces, and events and can’t **correlate to causation**.\n\nBecause cloud native produces more data than ever, it’s become more challenging to understand what’s happening inside applications and infrastructure. Unfortunately, the result often **wastes engineering time** tracking incidents, creates alert fatigue, and, yes, costs a fortune.\n\n### **Why we founded Middleware**\n\nI faced this problem when building my last startup. While building out the backend, it was **challenging to monitor microservices and Kubernetes**, as there was no all-inclusive cloud monitoring tool available.\n\nMy few early engineers from **Splunk** and **Newrelic** faced this problem as well. After speaking to engineering and IT leaders at several other companies—and they were facing the same problem—we started to work on Middleware full-time.\n\n### **Our solution to cloud native observability**\n\nMiddleware is a **real-time observability platform** for cloud-native, microservices, and distributed apps that brings all the metrics, logs, traces, and events to a **single timeline**. This empowers **dev and ops teams** to find and debug issues faster. \n\n![uploaded image](/media/?type=post&id=68705&key=user_uploads/1149383/84b686ed-f3f2-4a40-9ad4-b4fec457d860)\n\nAdditionally, our **AI-powered algorithms** collect and analyze data from across your entire infrastructure to spot signs of potential problems before they even occur. \n\nMiddleware offers a wide range of observability from **infrastructure** monitoring, **logs** monitoring, application performance monitoring (**APM**), **synthetic** monitoring, **database** monitoring, and real-time **alerting** solution with cost-effective prices.\n\n### **What our customers say about us!**\n\nCliff from **Puresend** - \"_We migrated from Datadog to Middleware because we absolutely love their unified view. It's such a simple but incredibly useful tool. This, among other features, made it a no-brainer for us to migrate. We monitor our logs, metrics, and traces at a very affordable cost. I highly recommend Middleware as the best in class for cloud-native monitoring._\"\n\nEduardo from **Berliner Philharmoniker** - “The Digital Concert Hall only uses cutting-edge technology, and Middleware was able to provide that with its all-in-one monitoring solution and near real-time metrics.”\n\n### **Reinventing observability for the future 🔮**\n\nOur mission is to change how companies **observe infrastructure and applications** cost-effectively. Our tools provide everything you need to **remediate issues** faster while getting observability data growth under control. It provides real-time insight into your cloud-native infrastructure, applications, and business.\n\n* Vendor agnostic by using and contributing to **Open Telemetry**.\n* Store only the data that you need to save on **costs.** 💰\n* Correlate the traces from the **browser to the front end and back end** with logs and metrics.\n* Using **AI to predict** any anomaly and possible downtime.\n\n### **Our ask/ how to reach us with contact detail 🗓️**\n\n1. Try Middleware and give us feedback. We love to work with **YC companies**. [TRY AT LEAST FREE FOREVER PLAN!](https://app.middleware.io/auth/register)\n2. Tell us your use case; we love building solutions quickly. **Schedule 15 mins** to call me [here](https://calendly.com/middleware_io/15-min-quick-call).\n3. If you are paying too much for your Observability, we love to **cut costs by 2x to 3x.**",
        "url": "https://www.ycombinator.com/launches/Hs9-middleware-a-unified-observability-platform-for-cloud-native-microservices-and-distributed-apps",
        "votes": 217,
        "created_at": "2023-01-25T16:49:47.084Z"
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    "id": 27667,
    "name": "StackAI",
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    "website": "https://www.stackai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Acquired by Asana (NYSE:ASAN) in May 2026.\r\n\r\nStackAI partners with enterprises to deploy custom AI agents to automate their most complex back-office workflows. Teams at BAE Systems, Monzo, Morgan & Morgan, and Goodwill work with StackAI to bring AI Agents to their operations.\r\n\r\nEnterprises use StackAI no-code to automate large compliance audits, knowledge work, legal intake, due diligence research, and insurance claim underwriting.",
    "one_liner": "The Enterprise AI Transformation Platform",
    "team_size": 62,
    "industry": "B2B",
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      "America / Canada"
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/stackai",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/stackai/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
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        "user_id": 908498,
        "full_name": "Toni Rosinol",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at StackAI (W23). MIT PhD. Bringing us one step closer to AGI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rosinol/",
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        "full_name": "Bernard Aceituno",
        "title": "Founder",
        "founder_bio": "Co-Founder & President of StackAI (W23). MIT PhD. AGI for the Enterprise.",
        "is_active": true,
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    "news": [
      {
        "title": "Asana acquires no-code agent-builder StackAI | TechCrunch",
        "url": "https://techcrunch.com/2026/05/28/asana-acquires-no-code-agent-builder-stack-ai/",
        "date": "May 28, 2026"
      },
      {
        "title": "Enterprise AI Agents for Every Job: StackAI Raises $16M - Stack AI · Accelerate Your Mission with Intelligent AI Workflows",
        "url": "https://www.stack-ai.com/blog/stack-ai-raises-16m-series-a-to-create-ai-agents-for-every-job",
        "date": "May 07, 2025"
      },
      {
        "title": "Stack AI wants to make it easier to build AI-fueled workflows",
        "url": "https://techcrunch.com/2024/05/21/stack-ai-wants-to-make-it-easier-to-build-ai-fueled-workflows/",
        "date": "May 21, 2024"
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    ],
    "launches": [
      {
        "id": 98649,
        "title": "Beyond Agents: The Era of AI Employees",
        "tagline": "Trusted from Fortune 500s to Governments",
        "body": "Today, StackAI is launching three capabilities that are ushering in the era of AI employees: computer use, access to the web, and the ability to coordinate as a team. Each one is a breakthrough on its own; together, they represent a fundamental shift in what enterprise AI can do.\n\n+++\n\nWe’ve moved from AI that responds, to AI that reasons, to AI that acts. Now we’re entering the next stage: AI that works like an employee you onboard. That starts with the same thing you’d give any new team member on day one: a computer, access to your internal tools, and a team to work with.\n\n1. **Giving Every AI Agent a Computer**\n\nComputer use gives each AI agent a sandboxed environment where it can execute commands, run scripts, read and write files, send emails, post Slack messages, and work across the tools your enterprise already uses. Think of it like Claude Code, but living inside StackAI and securely connected to everything your organization already uses.\n\nVideo: <https://youtu.be/6fvLqfvqsDg>\n\nComputer Use on StackAI doesn’t just suggest, it reads your repo, runs commands, edits files, and iterates until the job is done. Need a comprehensive performance deck? The agent navigates to your analytics platform, pulls the numbers, builds the charts, then formats everything into a clean, ready-to-share deck and forwards it to your team. Professional output. Zero manual effort. You don’t even have to press send.\n\nThese agents reason about what needs to happen, adapt when things change, and find a path to the output regardless of what gets in the way.\n\n**What it Means for Enterprises**\n\nEvery knowledge worker spends a significant portion of their time on coordination, data gathering, and repetitive execution. Computer use agents absorb that entire layer, freeing your team to focus on the nuanced work that actually requires human judgment.\n\n2. **Navigating the Web Like a Human Employee**\n\nA huge portion of enterprise work doesn’t happen inside your internal stack. It happens on the web: in vendor portals, legacy systems, government databases, and SaaS platforms that predate modern APIs.\n\nVideo: <https://youtu.be/JKyN2mYj72A>\n\nBrowser use gives AI agents the ability to navigate the web the way a human does—not through an API or pre-built connector, but by seeing a page, understanding what’s on it, and interacting with it. Clicking, filling forms, logging in, extracting data, submitting inputs. For an agent with browser use, every website is a potential integration; every legacy system, regardless of age or architecture, becomes part of the automation surface.\n\n**What it Means for Enterprises**\n\nTraditional automation has always had a hard boundary: no API, no integration. Enterprises worked around this by having humans manually bridge the gaps. \n\nBut now, an AI employee can log into your logistics vendor’s portal, pull open order status, and update your internal tracking system without anyone touching it. It can monitor competitor pricing across a dozen sites and flag changes before your next pricing review. It can navigate regulatory databases, extract relevant filings, and route them to your compliance team.\n\nAnything a human can do in a browser, an AI employee can do too, including the long tail of irregular, one-off tasks that are too infrequent to build traditional automation around but too time-consuming to keep handing to people.\n\n3. **Coordinating at Scale with Sub-Agent Teams**\n\nComputer use gives AI agents a workstation. Browser use gives them reach across the web. But there’s a ceiling to what any single agent, or any single AI employee, can do alone.\n\nA sub-agent workflow has a manager and a team. The orchestrator agent receives a high-level objective, breaks it into component tasks, delegates each to a specialized sub-agent, reviews the outputs, and synthesizes everything into a final deliverable. Each sub-agent maintains its own context window, so the system handles complex tasks without the constraints that limit a single model.\n\nTake a market intelligence agent. A single agent would need to research competitors, extract financial data, analyze trends, and write everything up sequentially, based on the user’s request. A multi-agent team handles it differently: the orchestrator delegates research to one agent, data extraction to another, analysis to a third, writing to a fourth. Sub-agents may or may not be called upon depending on the original task. The result is one polished deliverable, produced in a fraction of the time.\n\n## **The Era of AI Employees Is Here**\n\nMulti-agent architectures on StackAI let you build workflows that match the actual complexity of your business, not simplified versions of it. \n\nThe era of AI employees is here! Ready to put them to work? \n\n**Get started with StackAI → [stack-ai.com/demo](http://stack-ai.com/demo)**",
        "url": "https://www.ycombinator.com/launches/Pf7-beyond-agents-the-era-of-ai-employees",
        "votes": 12,
        "created_at": "2026-03-10T18:04:07.327Z"
      },
      {
        "id": 96563,
        "title": "StackAI: Enterprise AI Agents in Seconds",
        "tagline": "Introducing Auto Agents, a new system that allows you to instantly design, test, and iterate over custom AI agents with enterprise-grade security.",
        "body": "**StackAI** is the no-code, drag-and-drop platform to build and deploy enterprise AI agents that automate manual work across every vertical. \n\nWe’re excited to introduce Auto Agents, a suite of tools within the StackAI platform that makes it incredibly easy to design, iterate, and optimize agents automatically. These tools will empower enterprise users of all technical skill levels to create reliable, robust AI agents for any business process. Whether you're in finance, legal, HR, support, or any other department, you’ll be able to take those painful, repetitive, and expensive processes and automate them at scale with AI. \\\n\\\nCheck out this brief [video](https://www.youtube.com/watch?v=ohDG3oeFsjk) to see Auto Agents in action. \n\n### **From idea to agent in minutes**\n\nWith StackAI Auto Agents, teams can describe what they want to build in natural language, and the platform generates a complete, multi-step AI agent automatically.\n\nFor example, a user might ask the system to create an equity research agent—one that analyzes stock performance, scans recent news, evaluates opportunities, and produces a structured report. The platform will then design the agent end to end, assembling the workflow, tools, and logic required to complete the task.\n\nCrucially, Auto Agents don’t operate as black boxes. Every generated agent can explain itself, walking users through each component of the workflow, how inputs flow through processing steps, and how outputs are produced. This makes it easier for teams to understand, validate, and build confidence in what the agent is doing.\n\n**Built-in prompt refinement, without the guesswork**\n\nPrompting remains one of the biggest barriers to reliable AI systems. Auto Agents address this directly.\n\nUsers can refine an agent’s behavior by describing how outputs should be structured, whether that’s a multi-section research report, a compliance summary, or a decision memo. With a single click, Auto Agents optimize prompts immediately, applying best practices to improve clarity, consistency, and performance.\n\n**Test, iterate, and build on results in real time**\n\nOnce an agent is generated, teams can test it right away with real inputs. In the equity research example above, the agent can be run against a specific company, pulling in relevant financial data and recent news to generate a comprehensive report in minutes.\n\n![uploaded image](/media/?type=post&id=96563&key=user_uploads/660940/f66c0dcc-f5c7-4f6b-bcdb-bbe33b7ee321)\n\nFrom there, users can interact directly with the results: asking follow-up questions, extending outputs, or generating downstream artifacts like emails or summaries. This interactive loop allows teams to iterate quickly and build layered workflows on top of existing results, all within the same platform.\n\n**Ready for real enterprise workflows**\n\nAuto Agents are designed for teams automating real business processes, not just demos. This launch reflects a broader shift in enterprise AI to systems that operate reliably at scale across the entire development lifecycle: \n\n* **Automatic agent generation** from natural language descriptions\n* **AI-powered prompt refinement** for better performance\n* **Real-time testing and iteration**\n* **Interactive follow-ups** through chat-based enhancements\n* **Enterprise-grade security and governance** by default\n\nWhether you're automating equity research, streamlining contract reviews, handling RFP responses, or tackling compliance audits, Auto Agents puts the power of AI automation in your hands.\n\nStackAI Auto Agents are available now. To learn more or start building, visit [stack.ai](http://stack.ai).",
        "url": "https://www.ycombinator.com/launches/P7T-stackai-enterprise-ai-agents-in-seconds",
        "votes": 16,
        "created_at": "2026-01-07T18:25:52.375Z"
      },
      {
        "id": 77751,
        "title": "Stack AI - The Enterprise platform for LLM applications",
        "tagline": "Build Enterprise-grade AI assistants for your organization",
        "body": "[Stack AI](https://www.stack-ai.com/) is a **low-code platform that enables any organization to build custom AI Assistants without the need for coding or deep expertise in AI**. Our intuitive drag-and-drop interface makes Generative AI accessible for teams across the enterprise.\n\n[**Get a demo today!**](https://8pgahmhngsa.typeform.com/to/j1PDmIAG)\n\n**Fun fact:** this is our first YC launch!\n\n### What can I build?\n\n![uploaded image](/media/?type=post&id=77751&key=user_uploads/660940/f66ab65b-025a-49ca-af8a-e4916a52f44e)\n\nWe power AI use cases for companies such as **LifeMD, SmartAsset, Circle Medical, HiveMQ, Varos**, and more… \\\n\\\nWith Stack AI, subject matter experts can develop [AI assistants](https://www.stack-ai.com/blog/ai-assistants) tailored to their company needs without coding, powering use cases in industries such as:\n\n1. **Healthcare:** e.g., [insurance and policy document analysis](https://www.stack-ai.com/solutions/ai-agents), physician assistant for therapy and diagnosis.\n2. **Education:** e.g., [automatic student support desk assistant](https://www.stack-ai.com/solutions/ai-agents), AI-teaching assistants for faculty and courses.\n3. **Finance:** e.g., [comparison and drafting of financial reports](https://www.stack-ai.com/solutions/ai-agents), contract drafting assistant, communication compliance analyzer (email, SMS).\n4. **Logistics & Construction:** e.g., [RFPs with AI-powered Resume Searching](https://www.stack-ai.com/solutions/ai-agents), Purchase orders drafting and analysis.\n5. **Cross-industries:** e.g., [automatic scrapping of websites](https://www.stack-ai.com/solutions/ai-agents), hyper-customized outbound email generation, patent drafting assistant.\n\n### Value Proposition\n\nOur goal is to **equip enterprises with state-of-the-art language models to empower intelligence workers, content creation, and more.** Users can securely connect company data sources through integrations with databases, cloud storage, and SaaS platforms. \n\nWe do the **heavy lifting of AI and software development so customers can focus on deploying AI that drives business value**.\n\n[Learn more about AI Assistants](https://www.stack-ai.com/solutions/ai-agents)\n\n### Enterprise-grade AI\n\nEnterprise-grade platform and service\n\nWe developed Stack AI with enterprises in mind since day one:\n\n1. **Enterprise-grade security and privacy**: Stack AI is **SOC 2, GDPR, and HIPAA** compliant, ensuring [top industry standards](https://www.stack-ai.com/blog/gdpr-announcement) (i.e., data retention, data encryption, access controls). We also have data processing agreements with leading AI models.\n2. **High-touch customer success:** We support each client along the journey, guaranteeing hands-on guidance when building and deploying AI projects. \n3. **Dedicated infrastructure:** We ensure optimal performance and privacy in our client applications.\n4. **All-in-one platform:** Our versatile platform allows companies to deploy multiple customized use cases in an all-in-one platform, **simplifying technology stack and vendor management**.\n\n[Learn more about AI for the enterprise](https://www.stack-ai.com/solutions/ai-agents)\n\n### Bring AI to your Company Now!\n\nStack AI is already loved by over **200 companies in industries such as Healthcare, Logistics, Construction, Higher Education, and Financial Services**. We’d love to discuss with you how your organization can adopt Generative AI without expensive developments or hires.\n\n[**Get a demo today!**](https://8pgahmhngsa.typeform.com/to/j1PDmIAG)",
        "url": "https://www.ycombinator.com/launches/KE3-stack-ai-the-enterprise-platform-for-llm-applications",
        "votes": 31,
        "created_at": "2024-01-23T00:56:56.309Z"
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    "id": 27668,
    "name": "Designbase",
    "slug": "designbase",
    "former_names": [
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    "all_locations": "Remote",
    "long_description": "Designbase is the interface design tool that gives early teams design and development superpowers. Create stunning interfaces, immediately available as code, regardless of resources.",
    "one_liner": "Design and build great interfaces",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1675796536,
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    "year_founded": 2021,
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        "full_name": "Alexandru Antihi",
        "title": "Founder",
        "founder_bio": "I spent the last 17+ years designing and building successful products and design systems for Palantir, Two Sigma, Mosaic.tech, Checkout.com, Thomson Reuters, Bitdefender and many other Fortune 500 companies.",
        "is_active": true,
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        "full_name": "Ryan Xie",
        "title": "Founder",
        "founder_bio": "Ryan is a co-founder at Blocksfabrik. At Facebook, he led a team driving strategic growth, and at Palantir he led several teams including core search, pharma, and user research.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ryan-xie-0208b46/",
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        "title": "{🟦} Blocksfabrik: Create your own design system without all the work",
        "tagline": "Generate a design system complete with Figma assets, a private NPM package for your components, and documentation.",
        "body": "Hi! Alex and Ryan here - we’re super excited to launch [Blocksfabrik](https://blocksfabrik.com/#ref=yclaunch)!\n\n---\n\n**TLDR: We built a way to create design systems that stay in sync across design and code. Teams are using us to design better interfaces and develop them as fast as using an off-the-shelf component library, but with the flexibility of a bespoke design system and none of the tech debt.**\n\n**Ready to ship better product experiences? We would love to help, so please book a slot for a quick chat** [**here**](https://calendly.com/d/zkc-hbp-8n2/blocksfabrik-founders)**, or reach us directly via email at** [alex@blocksfabrik.com](mailto:alex@blocksfabrik.com) or [ryan@blocksfabrik.com](mailto:ryan@blocksfabrik.com)\n\n### **The Problem**\n\nCreating your own design system takes a ton of effort and experience that is hard to come by. And once they’re built you’ll have to maintain them in design and code indefinitely. Off-the-shelf component libraries get you off the ground, but are disconnected from design and hacking around their limitations becomes a liability as your product grows.\n\nWhat if you can design and build as fast as with a component library, but with the flexibility and quality of a bespoke design system?\n\n# **The Solution**\n\nConfigure your design system in the Editor and Blocksfabrik will take care of the rest — creating the component code, Figma assets, and documentation. It’s like having a full-time design system team, without needing the budget.\n\n### **How It Works**\n\n**(1)** Define your design tokens in the Editor (including color palette, sizes, fill styles, etc) and the specifics of your interface components (from shapes to interaction patterns).\n\n![uploaded image](/media/?type=post&id=69110&key=user_uploads/919864/31b5b5d1-c6a8-4fca-b639-1a203bcab90b)\n\n**(2)** Publish your design system, and you’ll get a private NPM package, Figma assets, and documentation that are all in sync.\n\n![uploaded image](/media/?type=post&id=69110&key=user_uploads/919864/56ce7431-2f21-40d9-932c-dd2c1edbf728)\n\n**(3)** Since Blocksfabrik creates components for both Figma and code, your Figma assets will share the same properties, and behave identically to the components in code. The designer → developer handoff becomes fast and seamless.\n\n![uploaded image](/media/?type=post&id=69110&key=user_uploads/919864/e6fce859-0bb6-4b2c-b4fa-f1502029add2)\n\nNeed to update something? Simply make edits and publish a new version that you can start using in Figma and code.\n\n### **How We Can Help You**\n\nIf you or someone in your network is struggling to build a product interface or design system, we’d love to help! Please book a quick chat [**here**](https://calendly.com/d/zkc-hbp-8n2/blocksfabrik-founders), or email us at [alex@fabrikant.tech](mailto:alex@fabrikant.tech), [ryan@fabrikant.tech](mailto:ryan@fabrikant.tech)\n\nThank you!\n\n---\n\n---",
        "url": "https://www.ycombinator.com/launches/Hyg-blocksfabrik-create-your-own-design-system-without-all-the-work",
        "votes": 76,
        "created_at": "2023-02-08T00:11:07.932Z"
      }
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    "id": 27672,
    "name": "Blyss",
    "slug": "blyss",
    "former_names": [
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    "website": "https://blyss.dev/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Blyss is an AI model provider built on strong security guarantees. We run AI workloads in GPU-based secure enclaves, which keep data encrypted even while it's being processed. Our customers get a privacy model similar to on-premises deployment, without ever having to think about AI infrastructure or GPU supply.  \r\n\r\nThe Blyss team has strong experience in cryptography and AI from Stanford, Apple, Nvidia, and more. We think data privacy is fundamental to safe, trustworthy AI, so it's our job to make end-to-end encrypted AI a no-compromise option - just like Signal and WhatsApp did for messaging.",
    "one_liner": "End-to-end encrypted AI.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1677026433,
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
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    "stage": "Early",
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/blyssprivacy/",
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    "github_url": "https://github.com/blyssprivacy",
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    "primary_partner": {
      "name": "Harj Taggar",
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      {
        "user_id": 175680,
        "full_name": "Samir Menon",
        "title": "Founder",
        "founder_bio": "Worked at Yubico. Wrote ia.cr/2022/368. Stanford CS '19 BS + MS.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/samir-menon-27954214b/",
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      {
        "user_id": 75138,
        "full_name": "Neil Movva",
        "title": "Founder",
        "founder_bio": "I've spent my whole career making computers go fast, especially for deep learning. I love large scale compute and care deeply about democratizing this power.\n\nPreviously, I worked on the Apple Neural Engine, and NVIDIA's cuDNN. Stanford '19, BS and MS in EE.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/nmovva/",
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    "launches": [
      {
        "id": 69550,
        "title": "Blyss - the SDK for privacy.",
        "tagline": "We make it easy to use and deploy homomorphic encryption.",
        "body": "## **TLDR:** Homomorphic encryption offers much stronger privacy guarantees than anyone thought possible. Blyss is the future of privacy, available today as a [developer-focused API](https://blyss.dev/).\n\nWe are Samir and Neil, the founders of Blyss.\n\n![uploaded image](/media/?type=post&id=69550&key=user_uploads/75138/64e460e5-9627-4f23-b3ec-57be1d24ac9e)\n\n## 😧 Problem: outside of FAANG, privacy is stuck in the ‘90s🕺\n\nPrivacy is a competitive advantage. There’s a billboard on the 101 explaining how WhatsApp can’t read your messages, millions of consumers use VPNs to secure their everyday browsing, and Apple doesn’t finish a keynote without touting new, frontier-pushing privacy practices. \n\nBut unless you’re at big tech, the most powerful new privacy tools are almost completely inaccessible. Chrome and Edge use homomorphic encryption to scan unsafe URLs and check passwords, but a startup wanting to offer similar features would need a team of PhDs to build them in-house.\n\n## 🛠️ Our solution: cutting-edge privacy, as a service\n\nThe [Blyss SDK](https://blyss.dev/) offers developers a key-value store with unusually strong privacy guarantees. Create S3-like buckets, fill them with data, and then make cryptographically secure retrievals. No entity, not even the Blyss service itself, can learn which items are retrieved from a Blyss bucket.\n\nPrivate retrieval is a simple but powerful new primitive. Using it,\n\n* Password managers can check if you’ve been exposed in a data breach, without learning anything about your passwords\n* Browsers can resolve domain names privately, without revealing every website you visit to DNS servers\n* Code scanners can safely check repos for vulnerabilities, without ever seeing customer codebases or the scan results\n\nPeople are building lots of new web apps with Blyss - try some of the best ones at the [Blyss playground](https://playground.blyss.dev)!\n\n# 🙇 The ask\n\n## 🧑‍💻 Developers:\n\nTry [our SDK](https://blyss.dev/) - it’s a self-serve, cloud storage service (feels just like S3), that transparently handles encryption and privacy for you. And if it isn’t quite clear how to fit privacy into your app, we’ll help you!\n\n## 🕵️ Privacy-conscious users:\n\nTell us about apps/services that feel icky because they collect too much data. It may not be obvious how to fix them, but your gut feelings on privacy are super valuable to us.\n\n## 🕴️ Bonus:\n\nIf you know companies that are trying to make privacy their competitive advantage (password managers, VPNs, etc), introduce us ([founders@blyss.dev](mailto:founders@blyss.dev))!\n\n## 👯 About us\n\nWe met eight years ago on Day 1 of freshman year at Stanford; we’ve been best friends since. Neil was previously at Apple working on ML; Samir worked at Yubico on applied security, and before that did research on homomorphic encryption with Dan Boneh. We [published](https://eprint.iacr.org/2022/368) the fastest-ever scheme for private retrieval at a top cryptography conference (Oakland). Now, we’re working to make advanced privacy technology available to everyone.",
        "url": "https://www.ycombinator.com/launches/I5m-blyss-the-sdk-for-privacy",
        "votes": 31,
        "created_at": "2023-02-22T17:37:27.725Z"
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    "team_size": 10,
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    "launched_at": 1674447011,
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    "url": "https://www.ycombinator.com/companies/reflex",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reflex-dev",
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      "name": "Jared Friedman",
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    "founders": [
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        "user_id": 1164088,
        "full_name": "Nikhil Rao",
        "title": "Founder",
        "founder_bio": "Building Reflex - a way to make web apps in pure Python.",
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        "linkedin_url": "https://www.linkedin.com/in/nrao95/",
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        "full_name": "Alek Petuskey",
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        "title": "Growth Lead",
        "url": "https://www.ycombinator.com/companies/reflex/jobs/KpOaIpx-growth-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.35%",
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        "id": 94833,
        "title": "Reflex: AI app builder for creating production-grade web apps entirely in Python",
        "tagline": "Just connect your data and enter a prompt. Reflex generates production-ready apps that integrate any data source, API, or Python package.",
        "body": "[**Reflex**](https://www.linkedin.com/company/reflex-dev/) is an AI app builder for creating production-grade web apps entirely in Python, powered by its own open-source framework.\\\n\\\nPython is one of the most popular programming languages in the world, and web development is one of the most popular applications of programming. So why can’t we make full-stack web apps using just Python?\\\n\\\nWith Reflex, you just connect your data and enter a prompt. It generates production-ready apps that integrate any data source, API, or Python package.\\\n\\\nFounded by [**Nikhil Rao**](https://www.linkedin.com/in/nrao95/) and [**Alek Petuskey**](https://www.linkedin.com/in/aleksanderpetuskey/), Reflex has over 1 million apps created, 27k GitHub stars, and has been used by 30% of Fortune 500 companies for internal tools and data-driven applications.\\\n\\\nTry it at [**https://build.reflex.dev**](https://build.reflex.dev).\\\n\\\nhttps://www.youtube.com/watch?v=Hy3uhBVRdtk&feature=youtu.be",
        "url": "https://www.ycombinator.com/launches/OfZ-reflex-ai-app-builder-for-creating-production-grade-web-apps-entirely-in-python",
        "votes": 10,
        "created_at": "2025-10-22T18:11:26.021Z"
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      {
        "id": 68556,
        "title": "Pynecone: Web apps in pure Python 🐍",
        "tagline": "Build web apps in minutes. Deploy with a single command.",
        "body": "Hello! We’re Alek and Nikhil and we’re excited to launch [Pynecone](https://pynecone.io)!\n\n## **TL;DR:**\n\n**Pynecone is an open-source framework to build web apps in pure Python and deploy with a single command. This can be anything from a small data science/internal app to a large multi page web app.**\n\n![uploaded image](/media/?type=post&id=68556&key=user_uploads/1164088/65dd0f6c-0edd-4c0c-9f18-e4b78b06a443)\n\n[Here is an example](https://dalle.pynecone.app/) of a Dalle Pynecone App created in \\~50 lines of Python.\n\nYou can see how to install Pynecone and start building in minutes [here](https://pynecone.io/docs/getting-started/introduction).\n\n### **The Problem**\n\nPython is one of the most popular programming languages in the world. Webdev is one of the most popular applications of programming. So why can’t we make full-stack web apps using just Python?\n\nWe found that even skilled engineers who wanted to make a web app but didn’t know traditional frontend tools like Javascript / React found it too overwhelming and time consuming. And even after they made their app, deploying it was a nightmare. We wanted to provide them with a framework where they can leverage their existing Python skills to create and deploy apps, without compromising on flexibility or customization.\n\nRecent no code and low code alternatives have issues. No code solutions that save time in the development process lack the flexibility and robustness of traditional web development. Low code frameworks are often confusing and only solve part of the problem forcing you to use multiple tools to get the job done.\n\n# **Solution**\n\n## **1️⃣ Language For Your Web App**\n\nWith Pynecone we wanted to enable software engineers to build performant customizable web apps without the overhead of learning traditional webdev. You can make anything from a small data science project to a full-scale, multi page web app in Pynecone. We have over 60+ built-in components and are adding more.\n\n## **🔋Batteries-Included Hosting**\n\nOnce you have your app built, the next big challenge is deploying it. Learning to host on a cloud service can be confusing and time-consuming. On top of hosting your frontend/backend you need to learn how to configure and maintain SSL, CDNs, and monitoring/analytics.\n\nSince we specialize in hosting a single type of app, we can provide all of this out of the box with zero configuration. With a single `pc deploy` command we will automatically set up your infrastructure so you can get your ideas out faster. You can also host with your own cloud provider.\n\n## **🥞Empower Your Team**\n\nNow instead of having separate dedicated engineers for frontend, backend, and infra, every engineer can understand and work across the whole stack. This reduces communication overhead and lets your team go from idea to working product as efficiently as possible.\n\n## **💬 We’d love to talk to you:**\n\n* Do you or your team use Python and have any internal tools/customer facing web apps. We would love to chat to see if Pynecone can simplify your tech stack and provide value.\n* ⭐️ us on [GitHub](https://github.com/pynecone-io/pynecone) to keep up with releases and news.\n* Join [our Discord](https://discord.gg/T5WSbC2YtQ)!\n\n(A short video of a user reviewing Pynecone)\n\n<https://www.youtube.com/watch?v=47BL6WLZJ1g>",
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        "created_at": "2023-01-19T21:01:27.254Z"
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    "all_locations": "Austin, TX, USA; San Francisco, CA, USA; Remote",
    "long_description": "Cardinal is an opinionated feature backlog. It pulls in your customer feedback, CRM data, and task management issues and uses AI to assess which customers want which features, how important is it for them, and how much are they worth",
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677706257,
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    "status": "Acquired",
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    "country": "US",
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        "user_id": 1136316,
        "full_name": "Wiz 👋🏻",
        "title": "Founder",
        "founder_bio": "Entrepreneur. Father. Geek.\nLove coffee and coffee loves me.\nFull name is Nadav Weizmann 😉\n",
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        "title": "Founder",
        "founder_bio": "Building something new.\nProduct builder at heart and a professional code whisperer.\n\nLed engineering teams through product development, acquisitions, strategic changes, and reorganizations at Cardinal (acq by Miro), Epic Games, Houseparty (acq by Epic Games), Docady, and the israeli 8200 unit\n",
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        "title": "☕️ Cardinal - Enabling product teams to build measurable features",
        "tagline": "The system of record for product teams enabling them to build the right things and achieve data-driven goals",
        "body": "☕️ **TL;DR**\n\nCardinal is the platform for product teams to define strategies, break it down to goals and set specs (features) with live data and KPIs across systems, consistently through teams and projects.\n\nHi, we’re [**Wiz**](https://twitter.com/nadavwiz) and [**Mor**](https://www.linkedin.com/in/selamor/), co-founders of Cardinal.\n\n![uploaded image](/media/?type=post&id=69853&key=user_uploads/1136316/88bc6831-ff37-45c6-b40d-54c6c1c654ea)\n\n**🏆 Why Us**\n\nWe’ve lead product and engineering at Epic Games (Directors).\n\nWe’ve lead product and engineering at Houseparty (acquired by Epic Games).\n\nWe’ve started and worked at startups (Docady, Onavo \\[Acquired by META\\]).\n\nWe’ve lead deep tech teams at 8200 (Israeli NSA).\n\nWe’ve been working together for 15 years and built internal tools to document and communicate strategies, progress, and try and track measurements of those throughout. From startup scale to corporate scale, it was always needed and insufficient.\n\nWe’re excited to fix this!\n\n**😩 Problem**\n\nManaging product teams, building and shipping features is hard. Product discovery, spec-ing, prioritization, alignment, measurements and learnings all take a toll on teams trying to execute and build impactful features.\n\n**🧠 Solution**\n\n1. Managing strategy: through time, initiatives and stakeholders.\n2. Methodology: all your teams are aligned and work the same way\n3. Documentation & Knowledge Management: know your history and use it easily.\n4. Data & Insights: connect various systems and set real, live goals.\n\n   ![uploaded image](/media/?type=post&id=69853&key=user_uploads/1136316/b98d3f9e-9e77-4dde-aefb-4796c1a5a5ae)\n\n\n**🙏🏻 Our Asks**\n\nSign up to the beta at [cardinalapp.io](http://cardinalapp.io), give us real feedback.",
        "url": "https://www.ycombinator.com/launches/IAf-cardinal-enabling-product-teams-to-build-measurable-features",
        "votes": 17,
        "created_at": "2023-03-01T22:19:29.195Z"
      }
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    "id": 27677,
    "name": "Matano",
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    "website": "https://www.matano.dev",
    "all_locations": "Seattle, WA, USA; San Francisco, CA, USA",
    "long_description": "Matano is a modern SIEM, built for cloud-first security teams. \r\n\r\nIt replaces traditional SIEM databases like Splunk or Elastic with a cybersecurity platform built on top of a cost-effective Security Data Lake.",
    "one_liner": "Cloud Native SIEM (alternative to Splunk/Elastic)",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1673220532,
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      "Analytics",
      "Open Source",
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    "status": "Active",
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    "app_answers": null,
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    "year_founded": 2022,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/matanolabs/",
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      "name": "Diana Hu",
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      {
        "user_id": 785948,
        "full_name": "Samrose Ahmed",
        "title": "Founder",
        "founder_bio": "Hi I'm Samrose, a software engineer by background. I grew up in NYC, went to CMU, and worked at AWS for a few years before starting Matano. I'm especially interested in big data, cloud, and highly available systems. Outside of work, I'm an avid reader.",
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        "linkedin_url": "https://www.linkedin.com/in/samrosea",
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        "full_name": "Shaeq Ahmed",
        "title": "Founder",
        "founder_bio": "Hey! Shaeq is a software engineer who originally hails from New York and loves all things open source, security and big data. He quit his job \ncrunching data for autonomous robots at Amazon to build Matano - an open-source SIEM alternative for security teams on AWS.",
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      {
        "id": 68262,
        "title": "Matano - Open source SIEM alternative for AWS",
        "tagline": "Matano is a high scale, low cost alternative to traditional SIEM (e.g. Splunk, Elastic) built around a vendor agnostic Security Data Lake in your AWS account.",
        "body": "**👋** Hi YC! We’re Samrose & Shaeq and we are excited to launch [Matano](https://github.com/matanolabs/matano).\n\n### TL;DR\n\n**Matano is a high-scale, low-cost, zero-ops alternative to traditional SIEM (e.g. Splunk) that deploys a security data lake directly in your AWS account.** It lets you ingest petabytes of security and log data from various sources, store and query them in an open [Apache Iceberg](https://iceberg.apache.org/) data lake, and create Python detections as code for realtime alerting. Matano is fully serverless and designed specifically for AWS.\n\n![uploaded image](/media/?type=post&id=68262&key=user_uploads/785948/5ec8b84a-df7a-44d1-914b-2c30af3dc2fa)\n\n### **Problem**\n\n* Traditional tools used to analyze security data (SIEMs) don’t scale, and are too expensive and difficult to manage for security teams on the cloud.\n* Security data is now a Big Data problem: collecting data from your network, SaaS, and cloud environments can exceed 100TBs of data. Security teams are forced to either not collect some data, leave data unprocessed, or build an in-house data lake to cost-effectively analyze large datasets.\n* At scale, without a strategy to normalize data into a structured format, it is difficult to correlate across data sources & build effective alerts that don’t create many false positives. Traditional SIEM query-based rules fail to accurately identify threats.\n\n### **Our Solution**\n\nWe’re leveraging our years of experience at AWS in Big Data and cloud technologies to build a modern alternative to SIEM designed from the ground up for efficiency, scalability, cost effectivity, and vendor neutrality.\n\n![](https://www.matano.dev/assets/images/diagram-09d3bbd00cb55ab585125b7a7ec452c6.webp)\n\n* **Security Data Lake** Matano normalizes unstructured security logs into a structured realtime data lake in your AWS account. All data is stored in optimized Parquet files in S3 object storage for cost-effective retention & analysis at petabyte scale.\n* **No vendor lock-in** Matano lets you truly own your own security data. Cybersecurity vendors lock your data in proprietary formats which make it very difficult to use outside of their product. With Matano, all your data is in open Apache Iceberg tables that can can be directly queried from different tools (AWS Athena, Snowflake, etc.) without having to copy any data.\n* **Detection-as-code** Matano gives you the flexibility of Python to implement realtime alerting on your log data and introduce a development lifecycle to detection by managing rules in Git (test, code review, audit).\n* **Serverless** ​​Matano is a fully serverless platform built entirely on technologies like Lambda, S3, and SQS and is designed for zero-ops and unlimited elastic horizontal scaling. Matano uses Rust for blazing fast performance [🦀](https://emojiterra.com/crab/).\n* **Open source** Matano is licensed as Apache 2.0 and always will be. Matano uses an open table format (Apache Iceberg) and common schemas ([Elastic Common Schema](https://github.com/elastic/ecs)), to give you full ownership of your security data.\n\n### **Ask**\n\n* If you’re a security team interested in using Matano, feel free to reach out over email at [founders@matano.dev](mailto:founders@matano.dev).\n* Try out our project and star [⭐](https://emojipedia.org/star/) us on GitHub: <https://github.com/matanolabs/matano>.\n* Join our [Discord community](https://discord.gg/YSYfHMbfZQ)!",
        "url": "https://www.ycombinator.com/launches/Hl0-matano-open-source-siem-alternative-for-aws",
        "votes": 48,
        "created_at": "2023-01-09T00:57:23.279Z"
      }
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    "id": 27678,
    "name": "Traceloop",
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      "traceloop"
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    "website": "https://www.traceloop.com",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Traceloop gives you full visibility into every prompt, response, and failure. Track quality, detect drift, and stop hallucinations before they reach your users. Powered by OpenTelemetry, integrated in one line.",
    "one_liner": "Know what your LLM is doing — and why it’s failing",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1675081598,
    "tags": [
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      "Generative AI",
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      "Open Source"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
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      "Remote",
      "Partly Remote"
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    "url": "https://www.ycombinator.com/companies/traceloop",
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    "year_founded": 2023,
    "city": "Tel Aviv-Yafo",
    "country": "IL",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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      {
        "user_id": 1024399,
        "full_name": "Nir Gazit",
        "title": "Founder/CEO",
        "founder_bio": "Ex-Google, formerly chief architect at Fiverr. Over 15 years of experience building software. M.Sc in CS from the Hebrew University in Jerusalem.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nirga/",
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      {
        "user_id": 1054307,
        "full_name": "Gal Kleinman",
        "title": "Founder",
        "founder_bio": "Formerly an R&D Group Manager @ Fiverr. Tech savvy with a vast experience leading software development projects from SaaS products and experiences to Data & ML infrastructure.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gal-kleinman-16898384/",
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      {
        "id": 90818,
        "title": "Traceloop: LLM Reliability Platform, powered by OpenTelemetry",
        "tagline": "Know what your AI Agent is doing — and why it’s failing",
        "body": "**TLDR**: [Traceloop](https://www.traceloop.com/?utm_source=YCLaunch) helps teams test, troubleshoot, and improve AI agents with automated performance evaluations, ensuring reliability before and after every release. We bring the same rigor to AI that developers expect from the rest of their stack.\n\n---\n\nHi everyone, we’re Nir and Gal, co-founders of [Traceloop](https://www.traceloop.com/?utm_source=YCLaunch), and we're part of the Y Combinator Winter 2023 batch.\n\n🚨 **Problem**\n\nBuilding and deploying AI agents today often feels like guesswork. Public model benchmarks don’t predict how well an AI will perform in real-world applications, and businesses are stuck in a cycle of trial and error, tweaking prompts and manually testing. But as AI agents become more complex and critical, these outdated methods just don't cut it. When AI misfires — hallucinating, taking wrong actions, or producing unpredictable outputs — users disengage instead of filing bug reports.\n\nAt [Traceloop](https://www.traceloop.com/?utm_source=YCLaunch), we believe **prompt engineering shouldn't be a guessing game**. We need to bring the same quality assurance processes to AI that we’ve come to expect from software engineering.\n\n🧠 **Solution**\n\n![uploaded image](/media/?type=post&id=90818&key=user_uploads/1024399/2e0c1c99-adce-411c-948b-1e0263e8ca47)\n\nTraceloop provides **evaluations** and **real-time monitoring** for AI agents, reducing the guesswork and ensuring performance is consistent before reaching end users. Our open-source foundation, [OpenLLMetry](https://github.com/traceloop/openllmetry) and [Hub](https://github.com/traceloop/hub), collects LLM interactions at scale and our our commercial platform is now helping businesses:\n\n* **Train evaluators** to catch hallucinations and detect quality issues.\n* **Experiment** with different models to choose the right one for your use case.\n* **Monitor and Evaluate AI agent performance** in real-time or during CI.\n\nWe help teams **reduce risk, accelerate iteration**, and ensure that their agents behave as expected in production environments.\n\n🎯 **Asks**\n\n⭐ Star us [OpenLLMetry](https://github.com/traceloop/openllmetry) and [Hub](https://github.com/traceloop/hub) on GitHub and follow us on [Twitter](https://x.com/traceloopdev)!\n\nIf you're building LLM apps, we'd love to show you how Traceloop can help improve your agent’s performance and reliability. [Reach out](https://calendly.com/d/cq42-93s-kcx) and let’s explore how we can help.\n\nIf you know teams working with AI, please forward this to them!",
        "url": "https://www.ycombinator.com/launches/Nco-traceloop-llm-reliability-platform-powered-by-opentelemetry",
        "votes": 29,
        "created_at": "2025-05-28T17:04:16.342Z"
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    "id": 27679,
    "name": "rift",
    "slug": "rift",
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    "long_description": "rift is B2B lead routing made simple.\r\n\r\nInbound workflows leak revenue at every step. Routing is manual. Calendar links are generic. No-shows go unrecovered. The handoff between form fill and booked meeting is where pipeline quietly dies.\r\n\r\nrift fixes that. One system for the full inbound lifecycle:\r\n> Capture. Custom web forms that collect and qualify leads in real time.\r\n> Route. Instant validation, enrichment, and assignment to the right rep.\r\n> Schedule. Top prospects get the best calendar slots, matched to real availability.\r\n> Recover. No-shows and ghosted leads are automatically re-engaged.\r\n\r\nrift is built by growth engineers who ran inbound at high-velocity B2B companies and got tired of watching pipeline fall through the cracks.\r\n\r\nrift is the system we wished existed — opinionated, fast, and wired into the tools sales teams already use: HubSpot, Apollo, Google Calendar, Gmail, Slack, Zoom, Stripe, and more.\r\n\r\nBacked by Y Combinator (W23) and Sequoia Capital.\r\n\r\nnever lose an inbound lead → rift.com\r\n",
    "one_liner": "B2B lead routing made simple",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/rift.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rifthq/",
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      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 179324,
        "full_name": "Fil Twarowski",
        "title": "Founder",
        "founder_bio": "CEO @ rift (W23)  ||  first biz hire @ Pulley (W20)  ||  CEO @ Point API (W18)  |  MIT '17",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/filip-twarowski-00996a54/",
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      {
        "user_id": 1157002,
        "full_name": "Edvard Eriksson",
        "title": "Founder/CPO",
        "founder_bio": "Product and Growth at Rift. Formerly Growth at Samsara and Pulley.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/edvarderiksson/",
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    "news": [
      {
        "title": "Announcing our seed",
        "url": "https://www.rift.com/announcing-our-seed",
        "date": "Jul 24, 2024"
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      {
        "id": 69370,
        "title": "📮 rift — Close more deals, without landing in spam",
        "tagline": "Send more cold emails that actually get replies. rift combines email automation and deliverability in a single product.",
        "body": "Hi YC!\n\nFil and Eddie here - we’re co-founders at [rift](http://getrift.com) (W23). We met while working on the growth team at Pulley (W20). At Pulley, we learned that setting up your cold outbound email channel is really hard, rift is our attempt at making it easier!\n\n### ❌ **The problem**\n\nYou’re a B2B business, and you’ve been sending sales emails to your prospective customers. Here are some of your stats:\n\n* You’re sending **100+ emails/day.**\n* Open rates are below **50%.**\n* Reply rates are around **1%**.\n* Bounce rates are upwards of **\\~5%**.\n\nIf you don’t change anything, your next campaign will likely perform worse. Over time, open and reply rates will drop, and your bounce rate will go up.\n\nEventually, your domain reputation will be low enough that you won’t be able to contact your leads or existing customers. This is a tough situation to get out of, and it might take months to recover your domain reputation.\n\n### 🎉 **The solution**\n\nYou need to do two things to effectively sell over email:\n\n1. Set up your cold email infrastructure correctly.\n2. Send relevant sales emails to the right people.\n\n**rift does it all for you in a single platform**. You don’t need to be an expert in email deliverability or cold outbound.\n\nOur product implements the email infrastructure for you, so you can focus only on growing your business. We will work with you 1:1 on writing sales emails that actually get replies.\n\n![uploaded image](/media/?type=post&id=69370&key=user_uploads/179324/3c9d9e74-f0c5-4e41-945f-42dec2000604)\n\n### **🏎️ How do I get started?**\n\nSchedule a call with Fil and Eddie here: <https://app.getrift.com/demo>. We’ll help you fix your outbound email, whether rift is a good fit for you or not.",
        "url": "https://www.ycombinator.com/launches/I2s-rift-close-more-deals-without-landing-in-spam",
        "votes": 49,
        "created_at": "2023-02-16T20:16:58.897Z"
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    "id": 27680,
    "name": "Trigger.dev",
    "slug": "trigger-dev",
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    "website": "https://trigger.dev",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Trigger.dev is the open source platform for building AI agents and workflows in TypeScript. Long-running tasks with retries, queues, full observability, and elastic scaling.\r\n\r\nPreviously, the founders built JSON Hero, an open source JSON viewer that is currently used by more than 35k developers a month. Eric was CTO of Code School, an early code learning platform that was acquired in 2015. Matt created two iPad apps that won Apple’s App of the Year.",
    "one_liner": "Build and deploy fully‑managed AI agents and workflows",
    "team_size": 17,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1665673307,
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      "Partly Remote"
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        "user_id": 1093162,
        "full_name": "James Ritchie",
        "title": "Founder",
        "founder_bio": "I'm co-founder and frontend engineer of Trigger.dev, a developer tool for creating background jobs in code. Previously I was a product lead at a number of VC backed startups. I also built JSON Hero, another popular OSS developer tool.",
        "is_active": true,
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    "news": [
      {
        "title": "From Zapier for Devs to Powering 90% AI Agents",
        "url": "https://www.youtube.com/watch?v=_y7siiS-V5A",
        "date": "May 09, 2026"
      },
      {
        "title": "Trigger.dev raises $3M",
        "url": "https://trigger.dev/blog/3m-dollar-seed-round",
        "date": "Aug 25, 2023"
      },
      {
        "title": "Show HN: We built a developer-first open-source Zapier alternative | Hacker News",
        "url": "https://news.ycombinator.com/item?id=34610686",
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    "launches": [
      {
        "id": 69600,
        "title": "✨ Trigger.dev: The developer-first open source Zapier alternative",
        "tagline": "We make it easy for developers to create powerful workflows directly in code.",
        "body": "**🔥 TL;DR** [**Trigger.dev**](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) **is an** [**open source**](https://github.com/triggerdotdev/trigger.dev) **platform that enables developers to effortlessly create event-driven background tasks directly in their codebase – for example, when a Stripe payment fails, open a Linear issue and send an email to yourself, or easily create a drip email campaign. Write workflows using our SDK, and view a detailed history of all runs in our web app.**\n\nHey! We’re Matt, Dan, James and Eric, the founders of [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc).\n\n### **👀 The Problem:**\n\n* As developers, we find that current workflow / automation tools like Zapier, n8n or Make are great for simple tasks, but not suitable for more advanced use cases.\n* Developers often end up creating important workflows in no/low-code tools on behalf of non-technical team members.\n* Some of these tools let you drop down into code, but it’s not a great developer experience. Developers prefer using their own IDEs with version control and access to the best tools like GitHub Copilot.\n* Connecting together APIs in code is painful – you need to deal with authentication, lots of SDKs and docs for each API you use.\n* Some workflows need to use a database query or access very private data. That data shouldn’t leave your servers and you shouldn’t need to give database access to a third-party.\n\n### **✨ Our solution:**\n\n[Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) makes it easy to create workflows in response to API events (webhooks), on a schedule or on-demand by sending your own events.\n\nAll of this lives in code alongside everything else in your codebase. We handle API authentication with external services, allowing more time to be spent writing functional code, rather than dealing with credentials. We also support long delays of up to a year that survive your server restarting.\n\nAll workflow runs can be viewed in our web app providing great observability for debugging.\n\n![uploaded image](/media/?type=post&id=69600&key=user_uploads/1102924/b7793d79-dfc0-4c9f-b6d1-f4535a24f5ad)\n\n### **🛠 How it works**\n\n* Install the [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) SDK to get access to our custom packages and functions\n* Trigger workflows from webhooks, custom events or schedules (CRON)\n* Use our growing library of API integrations for the best experience. We will support all of the most popular services, including Slack, Airtable, Linear, Stripe, GitHub, SendGrid, Notion and many more. We’re adding more each week with the help of our open source contributors.\n* Support for Fetch and subscribing to generic webhooks for any service.\n* Add delays of up to 1 year. Workflows will resume where they left off, even if your server has gone down.\n* Observe every workflow run in the app (great for debugging).\n* Your private data is kept private – you have control over where your data is sent.\n* Our open source MIT license lets anyone self-host the platform.\n\nIt’s clear from our [launch](https://news.ycombinator.com/item?id=34610686) and customers that developers want to be creating workflows in code rather than in an unfamiliar UI. We expect this trend to continue, especially with the rise of AI code writing assistants such as Copilot and Ghostwriter. Leveraging these tools will only improve [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) as time goes on, and make the creation of complex workflows more and more accessible to all developers.\n\n### **🙏 Our asks**\n\nIf you have a workflow you want to build and would like to try our platform - we would love to hear from you!\n\n* Try us out for free at [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc).\n* Book a 15 min workflow session [here.](https://cal.com/team/triggerdotdev/15-mins-about-your-automation)\n* Want to migrate an existing workflow? [Let us know.](https://cal.com/team/triggerdotdev/migration-consultation)\n\n### **⭐️ Our YC deal:**\n\n* **YC W23:** for 12 months, get unlimited workflows with 100k runs per month for free.\n* **YC Alumni:** for 6 months, get unlimited workflows with 50k runs per month for free.\n\nIf you have any questions or want to access the YC deal, please email me at [matt@trigger.dev](mailto:matt@trigger.dev).",
        "url": "https://www.ycombinator.com/launches/I6a-trigger-dev-the-developer-first-open-source-zapier-alternative",
        "votes": 51,
        "created_at": "2023-02-23T15:51:43.990Z"
      },
      {
        "id": 67467,
        "title": "🦸 API Hero: make every API you use faster and more reliable with one line of code",
        "tagline": "An open source API proxy that makes debugging and caching APIs trivial",
        "body": "**_🔥 TL;DR_** _API Hero routes API traffic you select through our edge proxy to provide caching and full visibility of requests and responses, speeding up your APIs and making debugging super easy. Check it out for free_ [_here_](https://apihero.run/)_, or schedule a call with us to help you get started_ [_here_](https://cal.com/team/apihero/request-a-demo)_._\n\nHi everyone 👋\n\nWe’re James, Matt, Eric & Dan and we’re building [API Hero](https://apihero.run). We’re on a mission to make using and working with APIs **super easy.**\n\n### **🤦 The problem**\n\nThere are two major headaches we’re tackling:\n\n* Slow APIs dramatically reduce the speed of your site, and adding caching to solve this can be hard\n* Debugging API issues is painful. You want full visibility of requests and responses so you can figure out what’s going on, during development and production (although we make production logging optional)\n\n### **🦸 With API Hero, you can:**\n\n* Monitor all your API traffic (or just the parts you want)\n* Speed up every API you use by enabling caching (this can also save you money!)\n* Get alerts when issues arise\n* Improve reliability with automatic retries\n\n### **🛠 How does API Hero work?**\n\n* Login to [API Hero](https://apihero.run/) (it’s free!)\n* Follow the simple onboarding steps – we’ll automatically populate your dashboard as soon as a request is sent\n* Configure the settings to proxy only the traffic you want\n* Sit back and watch those logs come in!\n\n![uploaded image](/media/?type=post&id=67467&key=user_uploads/1093162/90670a20-df63-4740-af17-46c35e850deb)\n\n![uploaded image](/media/?type=post&id=67467&key=user_uploads/1093162/ed99841e-bcd2-411c-94ac-6298c3a28d78)\n\n### **💬 We’d love to chat to:**\n\n* Anyone suffering from API issues\n* Any company working with 3rd-party APIs or building APIs\n* Anyone who’s checked out API Hero and has feedback",
        "url": "https://www.ycombinator.com/launches/HYB-api-hero-make-every-api-you-use-faster-and-more-reliable-with-one-line-of-code",
        "votes": 29,
        "created_at": "2022-11-22T17:09:53.152Z"
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    "id": 27683,
    "name": "Versori",
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    "all_locations": "Manchester, England, United Kingdom",
    "long_description": "Orchestrate custom integrations, workflows & agents in hours, not months. Take control of your integration strategy and breathe easy with maintenance on AI Autopilot.\r\n\r\nFor Product Teams: Build better integration libraries. Build a feature-rich integration library, for your users to enjoy. Offer out-of-the-box integrations that work for you and your customers. Embedded IPaaS typically locks you into connector or endpoint limitations. Versori gives you to tools for limitless customisation. Proactive, self healing agents, scan your connected apps for endpoint or schema changes. You get alerted, Versori AI fixes the change. Embed Versori built integrations into your app with the Versori SDK. Flexible to your development approach with advanced user management.\r\n\r\nFor Operations Teams: Get your internal systems speaking the same language. Deliver integrations for new software in days, not months—so you can start unlocking value immediately. Versori’s speed to value reduces typical deployment fees by half—or more. Low code for speed. Full code for control. No more limits from inflexible integration platforms.\r\n\r\nFor GTM & Sales Teams: Say yes to any prospect's integration request. Stop bouncing between teams to get integrations built. With Versori, Sales can go straight to yes. No more escalations or delays. Versori offer fully managed custom-builds, so your customers get exactly what they need, without compromise.",
    "one_liner": "Agentic integrations & automations for enterprise",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1666106474,
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      "name": "Brad Flora",
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      {
        "user_id": 920068,
        "full_name": "Sean Brown",
        "title": "Founder",
        "founder_bio": "Previously Founder and CEO at Mercarto (eCommerce/marketplace platform - acquired) and Hatch (Influencer Platform Acquired by Social Chain AG), Sean is fanatical about building technology to provide critical business infrastructure. \n\nHis strengths lie in Product and Business Development, by merging the two results in great product that delivers best in class products that provide high value solutions to clients. ",
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        "linkedin_url": "https://www.linkedin.com/in/sean1brown/",
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        "user_id": 1164100,
        "full_name": "Dan Jones",
        "title": "Founder",
        "founder_bio": "Dan is a CTO/Founder who loves getting stuck into code and is an advocate for all things cloud-native. With experiences in both public and private sectors, spanning industries such as Finance, Telecoms, Healthcare and Commerce, Dan has grounded himself as a versatile software engineer capable of solving complex problems in simple ways.",
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        "title": "Manchester start up Versori wins $500k Y-Combinator funding Prolific North",
        "url": "https://www.prolificnorth.co.uk/news/manchester-news/2022/10/manchester-start-versori-wins-500k-y-combinator-funding",
        "date": "Oct 18, 2022"
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      {
        "id": 91368,
        "title": "Versori: Integration & workflow automation magic",
        "tagline": "Go live with integrations built with Versori AI in hours, not weeks",
        "body": "![uploaded image](/media/?type=post&id=91368&key=user_uploads/1164100/21b1f014-0560-4373-9b82-52041e7d69b8)\n\nHey YC 👋\n\nWe just rebuilt the way integrations are done.\n\nLike many of you, we’ve wrestled with the limitations of traditional iPaaS tools: rigid templates, slow development cycles, poor customisation, and too many disconnected tools. \n\nSo we decided to take a different approach.\n\n**Versori AI** is a generative AI-powered integration and automation platform that enables businesses to build, deploy, and manage custom integrations and workflows with unprecedented speed and ease. \n\nWith Versori AI, businesses can connect APIs, automate processes, and deploy powerful integrations, across legacy systems, modern SaaS tools, and everything in between. Without the heavy lift of coding or cobbling together multiple platforms.\n\n[Here’s an intro to the new platform.](https://youtu.be/BF5_oVSQnKQ?feature=shared)\n\n**Key Features:**\n\n* **Prompt to Build:** Describe your integration needs in natural language, and Versori's AI will generate a complete workflow, including connector creation, data mapping, and deployment. ​[versori.com](http://versori.com)\n* **Flexible Modes**: Use a visual low-code editor, go full-code, or let the AI take the wheel. You’re in control.\n* **Transformer Mapping**: Powered by Agentic AI, we handle complex data transformations and mappings instantly, no manual field-matching required.\n* **Enterprise-Grade Security:** Benefit from SOC 2 compliance, data encryption, isolated environments per organization, and 24/7 monitoring and support.\n\nWe’re here to redefine what’s possible with integrations. Faster builds, deeper automation, more control, with the power of generative AI behind every step.",
        "url": "https://www.ycombinator.com/launches/Nlg-versori-integration-workflow-automation-magic",
        "votes": 10,
        "created_at": "2025-06-18T04:47:50.968Z"
      },
      {
        "id": 73415,
        "title": "Versori Sparkboard: AI Integrations",
        "tagline": "Create integrations and workflows with just a prompt",
        "body": "[**Sparkboard**](https://sparkboard.versori.io/) is a prompt-based data integration and workflow automation tool. Just tell Sparkboard what you want to connect and automate and it will use generative AI agents to create a task list and get to work with those tasks.\\\n\\\n**Sparkboard will:**\\\n\\- Create a task list for agents to fulfill \\\n\\- Scrape the internet for the appropriate documentation\\\n\\- Build an OpenAPI spec with the correct auth methods and operations\\\n\\- Use [Versori](https://www.versori.com/) transformation tools to transform and map data\\\n\\- Offer full editing of the workflow with additional tools\\\n\\- Review your finished integration and publish!\n\n[Super Cool Marketing Video (please watch)](https://youtu.be/oIPXrf2088c)\n\n![uploaded image](/media/?type=post&id=73415&key=user_uploads/920068/b7876f5d-4802-444f-b1db-56d8e631c262)\n\n![uploaded image](/media/?type=post&id=73415&key=user_uploads/920068/59d61e64-5a49-4597-8446-225a5bcde39a)\n\n![uploaded image](/media/?type=post&id=73415&key=user_uploads/920068/1289df89-e45c-4da3-a7c3-8cccdfc29470)\n\n**Try it for free:** [**https://sparkboard.versori.io/**](https://sparkboard.versori.io/)",
        "url": "https://www.ycombinator.com/launches/J67-versori-sparkboard-ai-integrations",
        "votes": 12,
        "created_at": "2023-07-25T16:54:38.432Z"
      },
      {
        "id": 69359,
        "title": "Versori - System & data integration platform",
        "tagline": "We help enterprises connect any internal system to any external system without hiring expensive consultants.",
        "body": "**Hello YC!** 👋\n\nAwesome to be here and proud to be part of this fantastic community.\n\nWe’re Sean and Dan, the Founders of [**Versori.**](https://www.versori.com/)\n\n![uploaded image](/media/?type=post&id=69359&key=user_uploads/920068/f5ba23d6-ef01-4adc-ac46-181a9a2236d9)\n\n### **The Problem 😫**\n\nThe enterprise integration market is controlled by traditional system integrators (Accenture, Cognizant, Capgemini etc), who charge for professional services and manual development.\n\nTime, money and resource is wasted on manual system and data integrations. Complex iPaaS solutions aren’t easy, and easy iPaaS solutions aren’t complex.\n\n### **The Solution 😊**\n\nVersori “Switchboard” is a no-code system and data integration platform, primarily for major retailers that lets them connect any internal system to any external system without hiring expensive consultants. \n\nFor example, Sephora used Versori to build an integration that imports 3rd party brand products into its own ecommerce site in a few clicks. Reducing integration time from 9 weeks to 2 hours.\n\n[Here’s an intro video](https://www.youtube.com/watch?v=d7T1z3nxoD0&t=3s&ab_channel=Versori)\n\n**Create data sources (connectors) in seconds, not weeks.**\n\n* Drag and drop or paste the URL to your API specs\n* Switchboard strips and stores the auth and server types, end points, operations and schemas.\n\n**Build complex and advanced integrations with no-code tools**\n\n* **_Transformer_** provides functionality to take data from multiple sources into a format suited for your target, with all the features you’d expect such as filtering, converting and mapping.\n* **_Selectors_** gives you access to any data from all previous steps in your board, allowing you to perform complex tasks such as merging or flow-control.\n* **_Data Mapping_** allows you to define mappings where some value in one system is equivalent to another value in another system. These can be defined up front in our dashboard, or interactively updated within your board.\n* **_Filter_** allows you to stop or continue execution of a workflow based on a set of conditions. These conditions can be as simple or as complex as your data requires, and can be combined with Selectors to compare data from multiple workflow steps.\n* **_Delay_** halts execution of the current message until a predefined duration has elapsed.\n* **_Batch_** aggregates all data received over a specified batch period before releasing the result to subsequent steps and is useful when integrating real-time APIs with bulk import/export APIs.\n* **_Trigger_** allows a board to be triggered manually or via a schedule instead of via an external API call\n* **_CSV Processing_** allows you to truncate, join and deduplicate CSV files\n* **_Splitter_** takes in an array and outputs multiple new messages for each element in that array\n\n**Deploy integrations and workflows your way**\n\n* Public Cloud\n* Private Cloud\n* On Prem\n* SDK\n\n### **We can integrate your systems, that Zapier can’t.. ⚡️**\n\nYou need the break free from the static guard rails of existing integration platforms!\n\nIf your company has bespoke system or data integration requirements, that can’t be done with an existing IPaaS provider, please reach out to us at [sales@versori.io](mailto:sales@versori.io). We would love to give you a demo!\n\n### **The Deal 🤑**\n\nFor all YC Alum, the first 10,000 data messages are on the house!",
        "url": "https://www.ycombinator.com/launches/I2h-versori-system-data-integration-platform",
        "votes": 132,
        "created_at": "2023-02-16T17:19:59.571Z"
      }
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    "id": 27684,
    "name": "Struct",
    "slug": "struct",
    "former_names": [
      "Bumper",
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      "AvenHQ"
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    "all_locations": "Remote",
    "long_description": "Struct is the platform for multi-lingual AI voice agents for any phone-based task. Our agents are already live doing tens of thousands of calls daily across the globe and in multiple languages. ",
    "one_liner": "Multi-lingual AI Voice Agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1677102979,
    "tags": [
      "Fintech",
      "SaaS",
      "LegalTech",
      "CRM"
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    "batch": "Winter 2023",
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    "stage": "Early",
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        "full_name": "Fatma Akcay",
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    "website": "https://syncly.app/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Syncly co-founders (former founders of Sualab, a video AI startup, $200M exit) are building agentic AI to automate video marketing for the world’s largest CPG brands (Tiffany, Clorox), a market where brands spend hundreds of billions on agencies today. At $2.1M ARR, grown 2x in 6 months, 4x in 12 months, and 142% NDR. Backed by YC, SoftBank, and John Kim (Sendbird CEO).",
    "one_liner": "Social listening for the video era",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1670314629,
    "tags": [
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      {
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        "full_name": "Joseph Lee",
        "title": "Founder",
        "founder_bio": "CEO @ Syncly (W23) | HBS '21 ",
        "is_active": true,
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        "full_name": "Jongsoo Keum",
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        "full_name": "Kwan Yoon",
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    "news": [
      {
        "title": "Syncly raises $3.3m to help cx teams transform customer feedback into actionable insight at scale - Syncly - Customer insights  on autopilot",
        "url": "https://syncly.app/blog/syncly-secures-3m-in-seed-funding",
        "date": "Nov 07, 2023"
      }
    ],
    "launches": [
      {
        "id": 99264,
        "title": "Syncly Social  - Find Creators by What's Actually in Their Content",
        "tagline": "AI-powered creator discovery that searches inside videos, not just profiles",
        "body": "Hey YC! 👋\n\nI'm Joseph, co-founder of[ Syncly](https://syncly.app/social?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery) - we're building an AI social listening tool. Today, we're launching **Creator Discovery**, a new way for brands and agencies to find the right influencers by analyzing what's actually inside their content.\n\n# **TL;DR:**\n\n* 🎯 Describe your ideal creator in plain English – Syncly finds them by analyzing video content, not just profiles\n* 🔍 Search by visual aesthetic, storytelling style, spoken mentions, and more - things no filter can capture\n* 🚀 Discover organic brand advocates who mention you without tags or hashtags\n* ⚡ What used to take hours of manual scrolling now takes seconds\n\n![uploaded image](/media/?type=post&id=99264&key=user_uploads/971454/b5ed5c9d-8ded-464c-b93f-ff4ce144df33)\n\n**Ask:** If you run influencer marketing at a brand or agency,[ try it free](https://social.syncly.app/login?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery) and tell us what you think. We'd love your feedback.\n\n**Offer:** Book a demo through Launch YC, and we'll include a personalized social listening audit alongside your creator discovery walkthrough →[ Book a demo](https://syncly.app/demo?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery)\n\n<https://youtu.be/7d10K1GN3S8?si=Oyb3cKVln2etPi6K> \n\n---\n\n# **❌ The Problem**\n\nInfluencer marketing is no longer a nice-to-have - it's a core growth channel. But finding the right creators is still painfully manual.\n\nThe current process looks like this: you open a platform, set some filters (follower count, category, location), scroll through hundreds of profiles, and then manually watch their content to figure out if they're actually a good fit. Does their aesthetic match our brand? Have they worked with competitors? Do they tell stories in a way that resonates with our audience?\n\nThese are the questions that matter most, and none of them show up in metadata.\n\nTraditional discovery tools search profiles. They can tell you a creator has 50K followers in the beauty category. But they can't tell you whether that creator films in a warm, cozy bedroom aesthetic or a bright studio setup. They can't tell you that a creator mentioned your competitor's product in a GRWM last Tuesday, without a hashtag or tag.\n\n---\n\n# **🛠 How Syncly Solves This**\n\nSyncly Social analyzes what's actually happening inside the content – every frame, every word, every sound. Instead of filtering by metadata, you describe what you're looking for in natural language, and Syncly finds creators whose content matches.\n\n![uploaded image](/media/?type=post&id=99264&key=user_uploads/971454/5f564bfa-9007-4d33-8a16-a08eef2493ae)\n\n### Here's what you can search by:\n\n* **Visual mood & aesthetic** - \"clean minimal apartment with natural lighting\"\n* **Creator persona** - \"fitness-forward creator, athletic build, gym setting\"\n* **Content format** - \"GRWM morning routine\" or \"before-and-after transformation\"\n* **Spoken mentions** - find creators who organically mention your brand in their videos, no tags required\n* **Storytelling style** - conversational, educational, high-energy, or laid-back\n* This means you can find creators that genuinely fit your brand's identity - not just creators who check the right demographic boxes. And because you never have to watch a single video yourself, it scales.\n\n---\n\n# **🏢 Who This Is For**\n\n![uploaded image](/media/?type=post&id=99264&key=user_uploads/971454/38e3c357-5fb2-4172-97e7-85fc6eba9532)\n\n**Brand marketers:** Find creators who match your brand's specific criteria - visual style, tone, values - without spending hours on manual research. Just describe what you want and get results.\n\n**Agencies:** Turn vague client briefs into concrete creator shortlists. Discover rising creators early and deliver them to clients before anyone else does.\n\n---\n\n# **🚀 Try It Now**\n\nCreator Discovery on Syncly Social is live and free to try:\n\n👉[ **Start your free trial**](https://social.syncly.app/login?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery)\n\nIf you want a personalized walkthrough or want to see how it works for your specific use case:\n\n👉[ **Book a demo**](https://syncly.app/demo?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery) - book a demo through this link, and we'll include a social listening audit + personalized creator discovery session.",
        "url": "https://www.ycombinator.com/launches/Pp2-syncly-social-find-creators-by-what-s-actually-in-their-content",
        "votes": 11,
        "created_at": "2026-04-01T05:33:08.094Z"
      },
      {
        "id": 93013,
        "title": "Syncly Social - AI social listening for video",
        "tagline": "The first social listening platform for the video era",
        "body": "# **TL;DR:**\n\nSyncly Social - AI Social listening platform for Videos like TikTok, Reels, etc. We’re trusted by leading brands, such as Brita, Logitech, adn Laura Geller.\n\n![uploaded image](/media/?type=post&id=93013&key=user_uploads/971454/300cd2ad-0740-4e0f-8d9b-4beb5f2a7ce5)\n\n# **Challenges of Social listening 1.0:** Limited to text-based social media contents.\n\n* In today’s world where video dominates, this is no longer valid.\n* Unable to analyze what’s being said or shown, or gather demographic intelligence on creators.\n\n# **What you can do with Syncly social (Social listening 2.0)**\n\n* **Competitive Analysis**: Decode the video strategies driving your rivals' success. Outsmart your competition with data-driven social campaigns.\n\n  ![uploaded image](/media/?type=post&id=93013&key=user_uploads/971454/10cf6f9b-6296-4899-b365-205da5b00456)\n\n* **Brand Perception**: Measure how well your brand is landing with your customers. Instantly identify the gap between your intention and customer perception, then close it with data-driven, timely action.\n* **Influencer Discovery**: Uncover and partner with influencers who truly resonate with your brand. Amplify your brand's reach with authentic voices that drive engagement.\n\n  ![uploaded image](/media/?type=post&id=93013&key=user_uploads/971454/d1db78fb-a26a-420c-9555-eed8191dda65)\n\n\n# **How do I get started?**\n\nIf you’re interested in learning more use cases how leading brands achieves competitive advantage through Syncly social, book a demo [HERE](https://syncly.app/demo-social-yc).",
        "url": "https://www.ycombinator.com/launches/OCD-syncly-social-ai-social-listening-for-video",
        "votes": 23,
        "created_at": "2025-08-14T23:52:42.170Z"
      },
      {
        "id": 87956,
        "title": "Syncly Social - AI social listening platform for modern brands",
        "tagline": "970K+ Mentions, 10+ Social Platforms, 1 Breakthrough Solution.",
        "body": "Introducing [Syncly Social](https://www.syncly.app) - AI social listening platform for modern brands. We aggregate reviews, posts, and conversations from socials and e-commerce (Amazon, Instagram, Reddit, retailer-specific reviews, and many more) for market, competitor, and consumer intelligence, and provide actionable insights, faster and more accurate than ever.\n\n![uploaded image](/media/?type=post&id=87956&key=user_uploads/971454/f0894f43-dfd0-4b93-bb57-828ad0328971)\n\n# **Challenges of Social listening platform 1.0**\n\n**High volume of Noise data:** Legacy platforms rely on simple keyword queries to gather data. The problems are:\n\n* **Time-consuming**: Takes up to a couple of months to setup, repetitively.\n* **Less than 10% data is relevant:** For example, product names or sub-brands with generic or common imagery (like Discover and United) can lead to irrelevant content being collected.\n\n**Lack of Granularity in Analysis:**\n\n* Let’s say \"picture quality\" may be frequently mentioned for mobile brand. So what? To translate that into specific product or marketing insights, the insight should be more granular, but what you can get from legacy platform is the summary, at most, like “_People generally praise the picture quality on Samsung phones, particularly on their high-end models.”_\n\n**One-Dimensional Sentiment Analysis:** Traditional sentiment analysis often fails to capture the full context, especially when posts contain mixed emotions.\n\n* For example, a review that says, \"It’s not as bright as {product name}\" might seem negative, but since {product name} is a brand’s another product, it isn’t necessarily a critique of the brand as a whole. This inaccuracy complicates efforts to identify precise product improvements or refine marketing messages.\n\n# **Why we need Social listening platform 2.0 - Syncly social**\n\n![uploaded image](/media/?type=post&id=87956&key=user_uploads/971454/daffa167-4b77-47ae-8b0a-edf4809e5be5)\n\n* **⚡️ 90% Faster Setup:** Forget tedious keyword lists of what to include and exclude that often take up to a couple of months🤯. Syncly's AI automatically filters irrelevant chatter.\n* **🎯 Hyper-Targeted Insights:** Brands went _beyond_ basic sentiment to identify specific product issues and opportunities.\n* **😊 Nuanced Sentiment Analysis:** Syncly pinpointed _exactly_ which features customers loved (or hated) with aspect-based analysis.\n* **🌎 Language Agnostic Brand Tracking:** Global consumer brands, like LG Electronics, could track brand mentions in different languages without needing to translate keywords.\n\n# **Impact**\n\nInsights that once took **months** now surface in just **days**, enabling your brand to refine products, optimize marketing, and stay ahead of competitors, fast.\n\n# **Learn more use case**\n\nIf you’re interested in learning more use cases how Modern brands achieve competitive advantage through social listening, [schedule a demo](https://www.syncly.app/demo) with me.",
        "url": "https://www.ycombinator.com/launches/Mse-syncly-social-ai-social-listening-platform-for-modern-brands",
        "votes": 38,
        "created_at": "2025-02-24T18:23:58.940Z"
      },
      {
        "id": 81714,
        "title": "Syncly - Get product insights from everyday customer communication for fast-growing companies",
        "tagline": "Bringing AI to help CX and Product team to understand customer issues before they churn.",
        "body": "[Syncly](https://syncly.app/) is an AI customer feedback analysis platform. I know you are running a customer-driven product. But do you understand in detail what’s driving negative customer sentiment and what needs to be done to elevate the experience?\n\nHere’s how Syncly helps top B2C companies like:\n\n* **Logitech, Boundless, Gamma,** and many others\n\nand fast-growing YC companies like:\n\n* **Speak**, **Ello**, **Navattic**, and many others.\n\n# **The Challenge: Do you know what’s driving negative customer experiences on your product and how to address them?**\n\nIt’s difficult to get visibility into the user sentiment trends and what can be done to elevate customer experience from a product perspective. Even when you get it, it’s not actionable. Why?\n\n* **Product insight is not granular enough:** unable to pinpoint customers/customer groups at risk and understand the details of their issues on your product.\n* **It takes loads of manual effort** to read and analyze customer feedback data. By the time you have it, it’s too late. Tagging provides stats but no story.\n* **Scattered data sources:** Difficult to aggregate various customer touch points (i.e., Zendesk, Intercom, Front, [gong.io](http://gong.io), Slack, Discord, reviews, and many others)\n\n# **The Solution: Syncly AI surfaces trending/urgent product** **issues automatically, based on all your customer touch points. Syncly does it with minimal effort from users and provides a granular level of insight on a customer level.**\n\n* With [**Smart Insight**](https://www.youtube.com/watch?v=HsoTigJI9F4), identify the most critical product gaps and issues that hinder customer experience without having to read all customer interactions across multiple channels (Zendesk, Intercom, gong.io, Front, Slack, Discord, reviews, and others).\n* Ask **Syncly AI** to pinpoint the positive and negative sentiment drivers and get instant action items to elevate the customer experience.\n* With **Customers AI**, monitor sentiment trends by account and individual user, to proactively engage with customers with underlying issues before they become at-risk.\n\n  ![](https://framerusercontent.com/images/uTiFzlfEY2imgMwq5c8r1XDKCrE.png)\n\n\n### Learn more use cases\n\nIf you’re interested in learning more use cases and getting a free trial:\n\n* [**schedule a call**](https://www.syncly.app/demo) with Co-Founders at Syncly!",
        "url": "https://www.ycombinator.com/launches/LFy-syncly-get-product-insights-from-everyday-customer-communication-for-fast-growing-companies",
        "votes": 174,
        "created_at": "2024-06-24T19:17:19.745Z"
      },
      {
        "id": 69973,
        "title": "🚀 Syncly — AI customer feedback analytics that drives retention",
        "tagline": "Syncly enables Revenue teams to better understand customer insights to drive retention and team productivity. ",
        "body": "Hey, We are Joseph, Kwan, Jongsoo from [Syncly](https://www.syncly.app) (YC W23).\n\nOur team founded and sold an AI startup for $200M, and decided to bring our technology to help Revenue team drive retention by delivering the right value for customers.\n\n### **TL;DR**\n\nSyncly uses AI and Chat-GPT to enable Revenue teams to better understand customer insights to drive retention and team productivity.\n\n### **The Challenge**\n\n* **Manual tagging and insights:** Your revenue team wants to understand the most impactful product or operational feedback, but the team spend a lot of time manually aggregating and analyzing. As a result, you come to learn what had gone wrong _AFTER_ the damage.\n* **Measuring team efficiency**: Hard to track most of what problems your Revenue team is doing, but seems your team is doing a lot. Currently, done by 1-on-1 meetings or manual tagging, which is not scalable.\n* **Post-action impact:** Hard to measure how customer feedback has changed after certain actions.\n\n### **The Solution**\n\n* **Automating feedback insight:** Syncly finds urgent and impactful customer issues. Your team can proactively engage with customers _BEFORE_ the damage.\n* **Boosting team efficiency:** Spread best practices within the organization to help Account managers, Customer success & support managers focus on delivering more value to the customer.\n* **Post-action visibility:** By monitoring customer feedback trend, you can measure the impact of each release and action.\n\n\\*Syncly’s integrations include **Intercom, Slack, Salesforce**, and other customer communication platforms.\n\n![uploaded image](/media/?type=post&id=69973&key=user_uploads/971454/777aa42c-a17a-40a9-8418-feaf2f342c4d)\n\n![uploaded image](/media/?type=post&id=69973&key=user_uploads/971454/ab5abf25-c974-4eed-8e29-1f07e7bff28c)\n\n### **Our Asks**\n\n* If you wanted to get as many actional insights from your customers feedback, schedule a call with us here: [https://www.syncly.app](https://www.syncly.app/) (Click “Book a Demo”)\n* Feel free to shoot me an email at [joseph@deepbluedot.io](mailto:joseph@deepbluedot.io) if you want to chat more.",
        "url": "https://www.ycombinator.com/launches/ICb-syncly-ai-customer-feedback-analytics-that-drives-retention",
        "votes": 138,
        "created_at": "2023-03-06T19:49:55.810Z"
      }
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    "name": "DrDroid",
    "slug": "drdroid",
    "former_names": [
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    "website": "https://drdroid.io/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "DrDroid is building AI Agents for Platform & Infrastructure teams. \r\nWe help engineering teams fix issues faster and reduce escalations during on-call—automating triage, debugging, and remediation.\r\n\r\nWe’re also the team behind several open-source projects:\r\n🔹 Playbooks – A runbook automation platform\r\n🔹 Kenobi – An event analytics platform for debugging data pipelines\r\n\r\nJoin us in redefining how teams run operations in the post-GPT world.",
    "one_liner": "Your best friend in production.",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1668798140,
    "tags": [
      "Developer Tools",
      "SaaS",
      "B2B"
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    "regions": [
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      "South Asia"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/drdroid",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/drdroid.json",
    "year_founded": 2022,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/dr-droid/",
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        "body": "Hello everyone! At [Doctor Droid](https://drdroid.io/), we’re launching AlertOps Bot today.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/26f4c64e-4079-4ed5-8085-4d03726a9035)\n\n**TL;DR** Add the bot to a channel and instantly receive reports about poorly configured and noisy alerts in the channel over the last 1 month / 3 months / 6 months. [**Signup URL.**](https://drdroid.io/)\n\n**Context:** We built this tool for engineering teams that are too busy, have a bit of alert fatigue, and want to reduce the noise.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/c433733b-d223-49dc-8437-f04e97e79c8c)\n\nToday, doing it requires manual time and energy.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/ab732135-c51b-496b-95db-3eefbab32e7b)\n\nWe have designed the bot such that the entire analysis now is presented to the engineers in seconds after adding the #Slack Bot.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/3b676a72-3eae-444c-a025-6d9209b9c4e2)\n\nThe bot provides immediate analysis of noisy alerts and insights around alerts that buzz too often.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/7028dd5e-2937-48da-b729-ab5b41aaf466)\n\nWe also extract other key tags from the strings. (like service_names, db_name, etc.). This helps do faster drill-downs of noise.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/e837fc17-e5d4-4bf6-9648-6482dfe1b809)\n\nOur users include engineering teams at startups of all sizes and scales — from seed stage to unicorns.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/2ed51997-a5b2-40d0-a930-ad20c09721c8)\n\nTo get started, just [**sign up** on our](https://drdroid.io/) website and install the bot.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/c2206d71-88f5-40d4-a38c-fc6a4203d9e0)\n\nIf you have any specific comments or feedback to share, just let us know! ([**founders@drdroid.io**](mailto:founders@drdroid.io))",
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        "body": "Hello everyone, Sid & Dipesh here from Doctor Droid!\n\nTl;dr: We help engineers track complex backend workflows that cannot be seen with just a single trace. Our stateful alerting system proactively looks for “missing states”, which means you’ll be alerted even when a certain task or event does not take place.\n\n### Our Story\n\nDipesh & I are tinkerers who love to build products, and build them fast. Dipesh made a game one weekend that snowballed, and [then got acquired](https://www.linkedin.com/pulse/us-based-gaming-company-acquires-wordhurdle-dipesh-mittal/). I made a [volunteering website during COVID](https://mgiep.unesco.org/article/india-covidsos-online-volunteer-platform-wins-un-solidarity-award) to enable people to help others in their neighbourhood. These are apart from our full-time jobs, building products at Shadowfax - India’s leading last-mile delivery startup.\n\n![uploaded image](/media/?type=post&id=69760&key=user_uploads/1073547/55de2e46-57ef-4d85-97d3-6df1c76a3562)\n\nAs engineers, we were used to being called on-call when something broke, even though most of the times it wasn’t our code that actually caused the issue.\n\n### **_The Problem_**\n\nWe had multiple critical products where monitoring the functioning of these products was not just about APIs because:\n\n* A business use-case, when scattered across different APIs and batch processes, simply can't be connected together and viewed as a single flow to help find the leakage point\n* You can only query and search over events/logs as individual data points, so I can't setup monitoring over deviations from my planned path for the user or an algorithm\n* You cannot see a miniature / filtered version of your business behaviour and see irregularities in real-time\n* The more properties you add in your events, the costlier storing and querying that data becomes\n\nWith Doctor Droid, we are making it super easy to detect and troubleshoot these complex products.\n\n### **_How Doctor Droid Helps:_**\n\nDoctor Droid gives you real-time visibility of how your products are performing, so you know where to intervene:\n\n* **Workflow visualisation** of the critical product paths - easily detect steps of failure and monitor the data passing at each step\n* Setup **stateful alerts** that span across multiple events\n* Create **custom metrics** using the attributes directly or as an expression (without cardinality constraints)\n* **Investigate** issues at a order, transaction or user level\n* Setup automated actions (JIRA ticket, custom scripts) for known issues\n\n![uploaded image](/media/?type=post&id=69760&key=user_uploads/1073547/9a0c9d88-f144-4b7b-b056-0337bf0145bd)\n\nWe have a simple SDK to ingest events (similar to your logging library), our documentation is available [here.](https://docs.drdroid.io/v2.0/docs)\n\n### **_Try now -_** We are in private beta and are giving 100k events/month complimentary for first 100 beta sign ups (apart from personalised support to help detect issues faster for your business). Request access on our website to access our product or write to us at [founders@drdroid.io](mailto:founders@drdroid.io)",
        "url": "https://www.ycombinator.com/launches/I9A-doctor-droid-proactively-detect-issues-before-it-impacts-your-customers",
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        "salary_range": "$190K - $250K",
        "equity_range": "0.20% - 0.90%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Credal aims to connect company data to LLMs 'securely' | TechCrunch",
        "url": "https://techcrunch.com/2023/10/26/credal-aims-to-connect-company-data-to-llms-securely/",
        "date": "Oct 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 88742,
        "title": "Credal.ai: The Security-First Multi-Agent Collaboration Platform",
        "tagline": "The world's only multi-agent platform where Agents collaborate across your tools while respecting the data permissions in your systems",
        "body": "Ravin & Jack here from [Credal.ai](http://Credal.ai). Proud to announce the world’s only multi-agent platform in production at Enterprises that lets Agents collaborate across Enterprise systems like GSuite, Salesforce, and Slack while respecting the permissions of the end users across those tools. We’re in production at amazing Enterprise customers like Mongodb, Wise, Checkr, Lattice, and even at traditional Enterprises like Comcast, the US Federal Government (HHS), and the IFRS — and we’re now excited to bring it to the world.\\\n<https://youtu.be/hNhfq0vfei0>\n\n## The Problem\n\nAI can understand enterprise data and provide marginal productivity gains, but we know that “Chat with your data” doesn’t scale—especially in complex operations.\n\nGetting users to adopt AI for simple tasks, like improving email wording or summarizing meeting notes, is easy. But these small wins don’t fundamentally change how an organization operates. It’s no surprise that 74% of companies still struggle to achieve tangible value from generative AI in 2025; most companies remain stuck in the proof-of-concept phase.\n\nAI is not truly transformative at the enterprise level, and we at Credal want to change that. To solve for this problem, AI agents must integrate into enterprise operations—communicating with internal systems, other agents, and subject matter experts while ensuring security, governance, visibility, and ultimately real business impact.\n\n## 💡 Our Solution\n\n![uploaded image](/media/?type=post&id=88742&key=user_uploads/89898/75296e1a-0363-4079-9f82-0c5a9d786d1b)\n\nCredal enables enterprises to deploy secure, specialized AI Agents that collaborate to handle complex, multi-step workflows.\n\nEach Agent is designed by subject matter experts—your employees—for specific tasks like:\n\n* Researching a prospect and personalizing outreach\n* Conducting KYC and AML checks\n* Answering HR and IT helpdesk questions\n* Completing security and compliance questionnaires\n* Analyzing trends in revenue and churn and suggesting the next best action for Customer Success Managers or Account Executives.\n\nWhen a user or API call invokes an Agent, it can autonomously call other Agents for assistance, all while enforcing enterprise-grade governance, risk, and compliance (GRC) policies. This composability moves beyond single-agent AI, allowing for scalable, controllable, and secure AI adoption across complex workflows in the enterprise. AI can at last operate seamlessly across your systems while respecting permission boundaries.\n\n![uploaded image](/media/?type=post&id=88742&key=user_uploads/89898/2c33a821-eabf-402e-a866-a552b5ca4590)\n\n## How it Works\n\nEvery user request follows this pattern:\n\nThe request gets routed to a primary agent which decides whether to call any actions or other Agents based on:\n\n* The instructions you provide in the background prompt and feedback from previous interactions\n* The provided tools and agents, with their descriptions and associated RBAC settings\n* Access Controlled Data from Enterprise systems like Salesforce, Confluence, GDrive, Slack and Sharepoint.\n\nThe primary agent then:\n\n* Notifies the user of any actions it is calling\n* Parallelizes the submission of all relevant actions\n* Polls for responses\n* Notifies the user when responses come back\n\n## ⚙️ Use Cases\n\n✅ End-to-end Know Your Business (KYB) workflows:\n\n* Validate document authenticity\n* Cross-check business addresses\n* Detect politically exposed persons (PEPs)\n* Ensure company services comply with internal policies\n\n✅ Go-To-Market Automation\n\n* Deep research on prospects and target accounts\n* Identify intent signals and the right buyers\n* Automate personalized outreach and seller training\n* Suggest Next Best Actions and upsell opportunities\n\n✅ Security Questionnaires\n\n* Automate security and compliance questionnaire responses no matter what tool you have to upload your response in\n* Ensure regulatory alignment with minimal manual effort\n\n✅ HR & Performance Management\n\n* Draft and refine self-reviews\n* Validate manager reviews for consistency and bias\n\n…and much more, including vendor contract analysis, government agency rule-making, corporate standards setting, customer support automation, training across teams, and general-purpose “ask-anything” AI assistants.\n\n## Next Steps\n\nWith Credal, enterprises can finally operationalize AI at scale—securely, efficiently, and with full control.\n\nReady to power your business with intelligent AI Agents?\n\nLet’s talk. Contact us at [sales@credal.ai](mailto:sales@credal.ai) or book a demo at [credal.ai/get-started](http://credal.ai/get-started).",
        "url": "https://www.ycombinator.com/launches/N5K-credal-ai-the-security-first-multi-agent-collaboration-platform",
        "votes": 56,
        "created_at": "2025-03-18T14:24:46.451Z"
      },
      {
        "id": 70320,
        "title": "Credal: Control how AI uses your data",
        "tagline": "Credal protects your organization's sensitive data from AI that can surface it externally. Think Okta for AI.",
        "body": "Hi there! Ravin and Jack here from [Credal.ai](http://Credal.ai)\n\n**TL;dr:**\n\nCredal protects your sensitive data across all AI apps. We give everyone at your company access to the latest AI models via our secure Chat UI, integrated with your data, whilst management gets granular control over what data is shared with each provider.\n\n⚔️ **The Problem:**\n\nCEOs of every company from Microsoft to our YC W23 batchmates understand the massive productivity gains available through AI applications. But huge concerns exist over adopting these tools at the enterprise: what’s happening to our data once we hand it over to AI providers? The landscape of providers is already large and fast-growing. Many have terms of service that permit training general models on your data. As the usage of these tools explode, businesses risk losing control over what data has been shared with whom, when, and what technical and contractual safeguards are in place to protect that data from inadvertently ending up in the hands of competitors via an AI model’s training dataset.\n\n⚡ **Solution:**\n\nCredal is the gatekeeper for your data, ensuring that all data sent to AI is protected by 3 layers of security:\n\n1. Credal identifies sensitive data using our (self-hosted) detection models alongside your existing data classifications and lets you automatically redact, anonymize, block, or simply warn the user, if sensitive data is about to be sent over to a provider.\n2. For the major endpoints like chat or text completion, Credal allows you to seamlessly switch between providers: letting you take advantage of the latest models, or highest privacy models as they are released, without locking your company into a single vendor.\n3. Finally, Credal protects you with standardized Terms of Service and MSAs that ensure you have total control over your data. Credal links your audit logs to the specific provider associated with each request, allowing full transparency into both the technical and contractual safeguards that govern how any cut of data could be used.\n\nOur secure chat UI can automatically route your request to the best AI for your question (or you can specify manually)\n\n![uploaded image](/media/?type=post&id=70320&key=user_uploads/1038471/53a41cac-1a2c-4bc6-9441-cc87ed0ef0d3)\n\nWith granular audit logs on each request, per data source, including what was redacted:\n\n![uploaded image](/media/?type=post&id=70320&key=user_uploads/1038471/fb382a2e-54de-47ec-b03e-93cc332981a9)\n\n**Who needs this, and why did we build it?**\n\nOur current customers are security-conscious companies trying to use AI to get an edge in their operations and product. We noticed early on building AI applications that customers were really nervous about handing data over to AI models they didn’t fully understand. Many enterprises were turning ChatGPT off entirely, or banning its use on anything remotely sensitive. Today, our customers use Credal for a range of problems, from basic things like using ChatGPT for summarizing meeting notes, to using complicated combinations of AI (like Claude + GPT 4) to automatically structure company documents. Either way, Credal is giving our customers the confidence they need to use cutting-edge AI on sensitive data.\n\n**Meet the Team:**\n\n![uploaded image](/media/?type=post&id=70320&key=user_uploads/1038471/77898790-6a46-477b-8832-df0f5cecd528)\n\nJack and I met in 2019 when we co-led Palantir’s engagement with a multibillion-dollar Life Sciences conglomerate, steering it from an initial pilot to an enterprise deal so critical to their business that Palantir going bankrupt was mentioned as a risk on the customer’s S1 filing.\\\n\\\nI started my career at Google, and since then have been both in the trenches and leading teams at THG at Series A, GoCardless at Series A, and Palantir. Jack started his career at H1 (at pre-seed), before joining Palantir. We’ve both led highly acclaimed teams at Palantir: _Atlantic_ Magazine called the output of work I led for 18 months: “America’s most reliable pandemic data”\\[1\\] and the _Washington Post_ said of a team Jack led for a year: “With these systems aiding brave Ukrainian troops, the Russians probably cannot win”\\[2\\]\n\nWe’re bringing a wealth of expertise in handling the most sensitive data imaginable, into what we see as one of the central problems of our time: building trust in AI.\n\n**Interested?**\n\nIf you are an enterprise with sensitive data, but you want to be able to use that data with AI  - [grab time to chat with us](https://calendly.com/jack-fischer-credal/credal-ai-intro). Enterprises that sign up before Demo Day (April 5th) are eligible for 50% off!\\\n\\\nFootnotes:\n\n\\[1\\] <https://www.theatlantic.com/health/archive/2021/01/hhs-hospitalization-pandemic-data/617725/> (The article discusses whether the Biden administration would keep paying for the ‘vital system’ that HHS had procured under Trump. In case you’re wondering what happened, it did and even expanded the contract.\n\n\\[2\\] <https://www.washingtonpost.com/opinions/2022/12/19/palantir-algorithm-data-ukraine-war/>",
        "url": "https://www.ycombinator.com/launches/IIC-credal-control-how-ai-uses-your-data",
        "votes": 128,
        "created_at": "2023-03-15T20:22:38.701Z"
      }
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    "id": 27691,
    "name": "Magic Patterns",
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    "website": "https://www.magicpatterns.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Magic Patterns is an AI design tool used by 2,500+ product teams at companies like Vanta, Doordash, and Freedom Mortgage to iterate on product ideas, get user feedback, and deploy to a website.",
    "one_liner": "Go from idea to production with AI.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1673915426,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/magic-patterns",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/magic-patterns.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/magicpatterns",
    "x_url": "https://twitter.com/magicpatterns",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1146847,
        "full_name": "Alex Danilowicz",
        "title": "Founder",
        "founder_bio": "Alex is a cofounder of Magic Patterns. Previously, he was the first employee at another YC startup. \n\nEntrepreneurship runs in the family: his grandpa founded a tortilleria in Tijuana, Mexico in the 1970s, which still exists to this day.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexanderdanilowicz/",
        "x_url": "https://twitter.com/alexdanilo99",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/daa89be2de2acbca2edd4dfaec689a67d91c55f3.jpg"
      },
      {
        "user_id": 1360756,
        "full_name": "Teddy Ni",
        "title": "Founder",
        "founder_bio": "Teddy is a cofounder of Magic Patterns. Prior to Magic Patterns, Teddy worked at Canopy (YC W19) as an early employee and Robinhood pre-IPO. At both companies, Teddy worked closely with design to build beautiful interfaces.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/teddy-ni/",
        "x_url": "https://twitter.com/Teddarific",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/806caf02c4aa7ff9e6c9d10647fa553cd5cb8ad2.jpg"
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    ],
    "jobs": [
      {
        "id": 84259,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/GEK5XLt-member-of-technical-staff",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84260,
        "title": "Account Executive - Enterprise",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/ikafDBd-account-executive-enterprise",
        "location": "United States",
        "type": "Full-time",
        "role": "Operations",
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      {
        "id": 84261,
        "title": "Technical Account Manager - Enterprise",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/XxZVkQx-technical-account-manager-enterprise",
        "location": "United States",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 84262,
        "title": "Head of Community / Product Evangelist",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/Vhzz4lm-head-of-community-product-evangelist",
        "location": "United States",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84263,
        "title": "Head of Growth",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/BePhlH4-head-of-growth",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Magic Patterns: The AI Design Tool for Product Teams",
        "url": "https://www.youtube.com/watch?v=-moAmKQk72A",
        "date": "Nov 12, 2025"
      },
      {
        "title": "Series A and Magic Patterns 2.0",
        "url": "https://www.magicpatterns.com/blog/series-a-and-magic-patterns-2-0",
        "date": "Nov 11, 2025"
      }
    ],
    "launches": [
      {
        "id": 78644,
        "title": "Magic Patterns - Prototype your Product Ideas with AI",
        "tagline": "Get design inspiration and generate React code from a simple text prompt.",
        "body": "**tldr;** [Magic Patterns](https://www.magicpatterns.com/) helps software teams prototype their product ideas.\n\n50,000+ developers and designers have used our beta so far and revenue is growing fast 📈. [**Start building today**](https://www.magicpatterns.com/)**.**\n\n### DEMO VIDEO\n\n[Demo Video - Generate UI](https://youtu.be/_LRBQjy4Z1g)\n\n### PROBLEM\n\n1. Getting design inspiration is hard — most people today use websites like Mobbin and Dribbble, but these tools don’t know what your specific product looks like. You need inspiration that actually looks like what you’re building.\n2. AI code assistants are not visual, but building UI is.\n\n### SOLUTION\n\nStart prompting in our visual editor. You can choose a publicly available design system for free.\n\nWe use AI models to help non-technical founders, engineers, and PMs speed up time to market.\n\n![uploaded image](/media/?type=post&id=78644&key=user_uploads/1146847/e5b9e2ee-f4bb-433d-8c37-4d96f7a0de39)\n\n### TRACTION\n\nTake our existing [customers](https://www.magicpatterns.com/customers):\n\n* [Designers](https://www.magicpatterns.com/teams/designers) use Magic Patterns to brainstorm and export to Figma\n* [Founders](https://www.magicpatterns.com/teams/startups) use Magic Patterns to generate production-ready code\n* [Product managers](https://www.magicpatterns.com/teams/product) use Magic Patterns to visually communicate their ideas\n\n### FOUNDERS\n\nWe’re [Alex](https://www.linkedin.com/in/alexanderdanilowicz/) and [Teddy](https://www.linkedin.com/in/teddy-ni/), two technical founders who have been building products for 10 years together. Here’s us on Alex’s wedding day, where Teddy gave the best man speech about being a “work husband.” (Alex’s wife found it very funny.)\n\n![uploaded image](/media/?type=post&id=78644&key=user_uploads/1146847/499dabe2-5fe3-40dd-8c7e-9e2b99535e34)\n\n### OUR ASK 👋\n\n1. Try us for free: [www.magicpatterns.com](http://www.magicpatterns.com)\n2. Want to ship faster? [Upgrade](https://www.magicpatterns.com/pricing) for higher messaging limits. You’ll join a community of startups and enterprises that are using Magic Patterns today.\n3. API access? Team discounts? [We have those too](https://www.magicpatterns.com/pricing). Chat with sales (a.k.a us – the founders!): [alex@magicpatterns.com](mailto:alex@magicpatterns.com)",
        "url": "https://www.ycombinator.com/launches/KSS-magic-patterns-prototype-your-product-ideas-with-ai",
        "votes": 39,
        "created_at": "2024-02-22T16:18:00.129Z"
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  {
    "id": 27692,
    "name": "Rollstack",
    "slug": "rollstack-2",
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    "website": "https://www.rollstack.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "At Rollstack, we are revolutionizing the way businesses share and communicate data and insights. Organizations worldwide rely on slide decks and documents to make informed decisions, whether for leadership, clients, or partners. Yet, preparing these materials often consumes countless hours. Rollstack fully automates that.\r\n\r\nWe help some of the world's leading organizations—from mid-sized to public companies like SoFi, Zillow and Whirlpool—in automating their slide decks and documents. Headquartered in New York, we offer a remote-friendly workplace and are backed by Insight Partners and Y Combinator, the most successful startup incubator in the world that produced the likes of Airbnb, Twitch, Instacart, Dropbox, Reddit, Doordash, Stripe, Coinbase, etc.\r\n\r\nOur team operates with speed and focus to deliver outsized impacts for our customers. We approach every challenge with first principles, never assuming things have to be done a certain way. We are a diverse team that believes intelligence and kindness go hand in hand, welcoming individuals from all backgrounds. Our persistence and rapid execution define us as a category leader and a future generational company.",
    "one_liner": "Automate data-driven slide decks and documents with AI",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rollstack",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 946616,
        "full_name": "Nabil Jallouli",
        "title": "Founder/CEO",
        "founder_bio": "Automating PowerPoints and Documents.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nabiljallouli/",
        "x_url": "https://twitter.com/nabs_jallouli",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fc9f6bfcd05b04bec7f2d0eef2d3aad9790a563.jpg"
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      {
        "user_id": 1014460,
        "full_name": "Younes Jallouli",
        "title": "Founder/CPO",
        "founder_bio": "Building Rollstack, the last mile of the modern data stack. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/younesjallouli/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d8e6738cce26698f33b2b0425ed5deee1ddcc67.jpg"
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    ],
    "jobs": [
      {
        "id": 65525,
        "title": "Software Engineer (TypeScript) - UK & Portugal",
        "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/8gY5JtV-software-engineer-typescript-uk-portugal",
        "location": "PT / GB / Remote (PT; GB)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€60K - €120K EUR",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "React",
          "TypeScript"
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      },
      {
        "id": 88426,
        "title": "Software Engineer (TypeScript) - Eastern US/ Eastern Canada",
        "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/TzIAxqj-software-engineer-typescript-eastern-us-eastern-canada",
        "location": "SC, US / GA, US / VT, US / DE, US / RI, US / IN, US / NJ, US / CT, US / ME, US / FL, US / NH, US / MA, US / VA, US / WV, US / MI, US / PA, US / MD, US / NC, US / CA / Remote (SC, US; GA, US; VT, US; DE, US; RI, US; IN, US; NJ, US; CT, US; ME, US; FL, US; NH, US; MA, US; VA, US; WV, US; MI, US; PA, US; MD, US; NC, US; CA)",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $240K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
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      },
      {
        "id": 90999,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/CLefCMg-business-development-representative",
        "location": "Seattle, WA, US / Remote (Seattle, WA, US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$85K - $100K",
        "equity_range": "",
        "experience": "1+ years",
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      {
        "id": 94619,
        "title": "Account Executive ",
        "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/xVWiPwE-account-executive",
        "location": "US / CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$180 - $240",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108749,
        "title": "AI Software Engineer",
        "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/lo23eXr-ai-software-engineer",
        "location": "US / GB / PT / MX / BR / CA / Remote (US; GB; PT; MX; BR; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$80K - $240K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Rollstack Raises $11M Series A to Automate Your Presentations with AI",
        "url": "https://www.prnewswire.com/news-releases/rollstack-raises-11m-series-a-to-automate-your-presentations-with-ai-302279758.html",
        "date": "Oct 21, 2024"
      },
      {
        "title": "Rollstack raises $11 million in Series A",
        "url": "https://www.rollstack.com/articles/rollstack-raises-11-million-in-series-a-to-automate-your-data-driven-slide-decks-and-documents-using-ai",
        "date": "Oct 17, 2024"
      },
      {
        "title": "Rollstack automatically syncs data to reports and presentations | TechCrunch",
        "url": "https://techcrunch.com/2023/09/27/rollstack-automatically-syncs-data-to-reports-and-presentations/",
        "date": "Sep 27, 2023"
      },
      {
        "title": "Enterprise trends from YC W23 Demo Day | Wing Venture Capital",
        "url": "https://www.wing.vc/content/enterprise-trends-from-yc-w23-demo-day",
        "date": "Apr 14, 2023"
      }
    ],
    "launches": [
      {
        "id": 68473,
        "title": "Rollstack - Report automation for the modern data stack",
        "tagline": "Put your slide decks and documents on wheels ⚙️",
        "body": "At Rollstack, we're revolutionizing how businesses share and communicate their data. Data-driven slide decks and documents are pivotal in sharing data and insights within organizations and outside.\n\nRollstack is creating a new category in the modern data stack: Report Automation. We connect BI tools to slide decks and documents, automating their updates and creation, and effectively solving the last-mile problem of data presentation.\n\nWe assist some of the world's leading organizations, like SoFi, 1Password, and Zillow, in automating their slide decks and documents.\n\n![uploaded image](/media/?type=post&id=68473&key=user_uploads/1014460/6cba1652-9f20-4ffa-89ad-582de99942fd)\n\n### **Storytelling with slides and docs is too cumbersome today**\n\nDo you find yourself spending excessive amounts of time formatting data, charts, presentations, and documents to make them presentable? Are you challenged collecting data from various sources to create your presentations and documents? And once you finish, you find yourself repeating the same process for each new client, project, the next week, month, or quarter? You are not alone! It takes teams anywhere from a few hours to multiple days to create a single set of slides or visualizations. 50% of professionals create slides weekly. 75% of them reuse the same deck at least once, and 30% over 5 times!\n\n### **Rollstack solves this**\n\nRollstack automatically creates and updates presentations and documents using multiple data sources and updates them for you!\n\n[Rollstack allows you to easily connect to your favorite data sources](https://www.youtube.com/watch?v=UclmZkV6XkM), then takes care of refreshing your data where you want to present it. Rollstack also saves your formatting and visualization choices so that you never do the same task again, and allows you to create multiple variations of these reports at scale.\n\n[Rollstack AI](https://www.youtube.com/watch?v=zT4mC2LgaWc) empowers business users with intelligent, personalized, contextualized insights that integrate into presentations and report documents.",
        "url": "https://www.ycombinator.com/launches/HoP-rollstack-report-automation-for-the-modern-data-stack",
        "votes": 82,
        "created_at": "2023-01-16T23:52:12.877Z"
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    "long_description": "Depot gives engineering teams the fast source control, builds, CI runners, sandboxes, caches, and registries they need to ship reliable software they trust at AI speed. Companies like PostHog, Inference, Wistia, PlanetScale, Poolside, Astral, and Semgrep use Depot to power their entire software delivery stack.\r\n\r\nKyle and Jacob worked together as staff engineers for 4.5 years at Thorn and Era Software, before founding Depot. Depot is their take on what software delivery and a replacement for GitHub could look like in the world of AI.\r\n",
    "one_liner": "Software delivery built for machine scale.",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "batch": "Winter 2023",
    "status": "Active",
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      "Fully Remote"
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    "url": "https://www.ycombinator.com/companies/depot",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/depot.json",
    "year_founded": 2022,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/depot-technologies",
    "x_url": "https://twitter.com/depotdev",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/depot-2f77",
    "github_url": "https://github.com/depot",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 600738,
        "full_name": "Kyle Galbraith",
        "title": "Founder",
        "founder_bio": "Kyle Galbraith is the Co-Founder & CEO of Depot. He and Jacob Gillespie (CTO) built Depot after being faced with the same challenges time and time again surrounding slow CI builds across all generic providers. He is originally from Portland, Oregon but relocated to Montpellier, France in October 2022 to immerse himself in French culture with his wife who is originally from the area.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kylegalbraith459",
        "x_url": "https://twitter.com/kylegalbraith",
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        "full_name": "Jacob Gillespie",
        "title": "Founder",
        "founder_bio": "Cofounder and CTO of Depot. US expat living in the UK.",
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        "linkedin_url": "https://www.linkedin.com/in/jacobwgillespie/",
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        "title": "Depot raised a $10M Series A",
        "url": "https://x.com/kylegalbraith/status/2031357969338663387?s=46&t=O2dQBFTAcOO_utQ0IktGUg",
        "date": "Mar 10, 2026"
      },
      {
        "title": "Depot raises $4.1M to speed software builds by 40X | VentureBeat",
        "url": "https://venturebeat.com/programming-development/depot-raises-4-1m-to-help-developers-speed-up-software-builds-by-40x-or-more/",
        "date": "Aug 22, 2024"
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        "id": 79909,
        "title": "✨ Depot: Managed GitHub Actions runners for AWS",
        "tagline": "30% faster compute, 10x faster cache, 1/2 the cost",
        "body": "Hey, we’re Kyle and Jacob, the founders of [Depot](https://depot.dev), a hosted container build service for Docker images, and we’re excited to launch our new product: [managed GitHub Actions runners for AWS](https://depot.dev/products/github-actions)!\n\n![uploaded image](/media/?type=post&id=79909&key=user_uploads/956934/99034910-f435-44ef-8301-3610146d56bd)\n\n## The Problem\n\nWhile GitHub Actions is one of the most prevalent CI providers, Actions is slow for a few reasons:\n\n* GitHub uses underpowered CPUs.\n* Network throughput for cache and the internet at large is capped at 125 MB/s.\n* Total cache storage is limited to 10GB per repo.\n* Larger runners are expensive and take a long time to start running jobs.\n\n## The Solution\n\n**Depot-managed runners solve this!** Rather than your CI jobs running on GitHub’s slow compute, Depot routes those same jobs to powerful EC2 instances. And not only is this faster, it’s also 1/2 the cost of GitHub Actions!\n\nWe do this by launching a dedicated instance for each job, registering that instance as a self-hosted Actions runner in your GitHub organization, and then terminating the instance when the job is finished.\n\nWe've also integrated the runners with our existing distributed storage cluster that we use for Docker image builds for up to 10x faster cache throughput! 💪\n\n## Demo Video\n\n<https://www.youtube.com/watch?v=VX5Z-k1mGc8>\n\n## Tech Details\n\nUsing AWS as our compute provider has a few advantages:\n\n* We launch fast `m7a` instances, which are typically 30%+ more performant than alternatives.\n* Each instance has high-throughput networking of up to 1.5 GB/s, hosted in `us-east-1`, so interacting with artifacts, cache, container registries, or the internet at large is quick.\n* Each instance has a public IPv4 address, so you’re not sharing any rate limits with anyone else.\n\nBy integrating the runners with the distributed cache system (backed by S3 and Ceph) that we use for Docker build cache, jobs automatically save/restore cache from this cache system, with speeds of up to 1.5 GB/s, and without the default 10 GB per repo storage limit.\n\nAdditionally, the runners are located in the same VPC as our [Docker build service](https://depot.dev), so for anyone using both, built containers are now able to `--load` back into CI for testing much faster than they would over GitHub’s default network.\n\nWe build our machine image from [GitHub's image definition](https://github.com/actions/runner-images), so all the same software you expect is pre-installed. Support for Arm runners, powered by Graviton instances, is in beta now.\n\n## Getting Started\n\nYou can sign up at <https://depot.dev/sign-up> for a free trial if you’d like to try it out with your own workflows!",
        "url": "https://www.ycombinator.com/launches/Kmr-depot-managed-github-actions-runners-for-aws",
        "votes": 21,
        "created_at": "2024-04-03T14:38:17.273Z"
      },
      {
        "id": 67759,
        "title": "⚡ Depot - a faster way to build Docker images",
        "tagline": "A remote container build service that is 3-14x faster than CI providers, with emulation-free support for both Intel & Arm architectures",
        "body": "Hey everyone! We’re Kyle and Jacob, and we’re excited to share [Depot](https://depot.dev/) with all of you.\n\n[![uploaded image](/media/?type=post&id=67759&key=user_uploads/600738/bc4dbd39-a0a3-4838-a4f5-20e6302c00b2)](https://depot.dev/benchmark/temporal)\n\nDepot is a remote container build service that is 3-14x faster than building Docker images inside of generic CI providers. It’s much faster than existing solutions like GitHub Actions because we run BuildKit the right way with a persistent SSD cache. We launch both Intel and Arm VMs for each build, allowing you to build native multi-platform or Arm images without any slow emulation.\n\nPostHog’s Docker builds [run around 5x faster with Depot](https://posthog.com/blog/speeding-up-posthog-builds-with-depot), reducing daily time spent on builds from 5+ hours to just an hour. We continuously benchmark several open-source projects, comparing `docker build` and `depot build`, including:\n\n* [Temporal](https://depot.dev/benchmark/temporal) (\\~14.5x faster, saving 7 hours over the last 10 builds)\n* [Supabase](https://depot.dev/benchmark/supabase) (\\~8.5x faster, saving 2 hours over the last 10 builds)\n\n### Our background\n\nAs software and platform engineers, we absolutely hate slow CI builds. Everyone has their own internal timer for what classifies a slow build, our own is 5 minutes, if it takes longer than that we get annoyed. We have experienced first-hand the pain and challenge of keeping Docker container builds fast, optimizing/re-optimizing pipelines and Dockerfiles, and implementing custom runners for multi-platform builds. It’s all annoying, unnecessary, and a drain on developer happiness.\n\nOverall, slow builds clog up the delivery pipeline and take time away from iterating on new ideas and fixing problems for users.\n\n### Building Docker images is slow\n\nBuilding Docker images in CI providers like GitHub Actions, CircleCI, etc. is slow:\n\n* **Saving and loading layer cache is slow.** Transferring the cache over the network to the ephemeral CI runners eats away at any cache time savings.\n* **Runner resources are constrained,** with limited CPUs, RAM, and disk space.\n* **Multi-platform and Arm builds require emulation.** Emulation is orders of magnitude slower than native, and Arm is increasingly important with the rise of popularity with devices like MacBook M1, Graviton, etc.\n\n### Our Solution\n\nDepot provides managed VMs running BuildKit, the backing build engine for Docker. Each VM includes 4 CPUs, 8GB of memory, and a persistent 50GB SSD cache disk. We launch both native Intel and Arm machines on AWS. You can choose to have your builder VMs launch in our AWS account or in your own if you want to maintain total control over your data.\n\nOur `depot` CLI is a drop-in replacement for `docker build` as we embed Docker `buildx` directly as a library. Anything you can build with Docker today, you can build with Depot on our remote VMs.\n\n![uploaded image](/media/?type=post&id=67759&key=user_uploads/600738/79d72d22-c290-4d0f-87bc-2e2ae2527797)\n\n### Signing up\n\nWe love having new folks try out Depot and throw new questions & feedback our way. It really is the fuel that keeps a new startup going.\n\nIf you’re annoyed by your slow Docker image builds today, we have a 14-day free trial that you automatically get when you sign up here: <https://depot.dev/sign-up>.",
        "url": "https://www.ycombinator.com/launches/Hct-depot-a-faster-way-to-build-docker-images",
        "votes": 37,
        "created_at": "2022-12-07T14:37:25.884Z"
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    "id": 27695,
    "name": "Pigeon",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ba5c80823fd550126b6ccf61259b290923bb56a.png",
    "website": "https://www.pigeondocuments.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Pigeon automates the entire document lifecycle: collecting documents from clients, reviewing and extracting data with AI, and syncing with CRMs or storage systems. Pigeon eliminates the manual back-and-forth of document handling and eliminates thousands of hours of manual tasks.",
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    "team_size": 5,
    "industry": "B2B",
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    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/pigeon",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/pigeon.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pigeon-documents",
    "x_url": "https://twitter.com/pigeondocuments",
    "fb_url": "https://www.facebook.com/pigeondocuments",
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    "founders": [
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        "user_id": 1160664,
        "full_name": "Adam Bulow",
        "title": "Founder",
        "founder_bio": "CEO & Founder at Pigeon (YC W23) in NYC | Ex-Google",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adam-bulow/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea353ae1b12e119b1ab3fc48ca44d3e24f0d92f8.jpg"
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    "launches": [
      {
        "id": 69451,
        "title": "🐦 Pigeon - Document collection made easy, organized and secure",
        "tagline": "DocuSign for document collection",
        "body": "**💥TL;DR** We’re building DocuSign for document collection where clients can upload documents into a secure, interactive checklist without creating an account.\n\n👋 Hi everyone, we're [Adam B](https://www.linkedin.com/in/adam-bulow/) and [Adam S](https://www.linkedin.com/in/adamsharf/) – and we’re really excited to launch [Pigeon](https://www.pigeondocuments.com/)!\\\n[Adam B](https://www.linkedin.com/in/adam-bulow/) - CEO | ex-Google Data Scientist\\\n[Adam S](https://www.linkedin.com/in/adamsharf/) -  COO | ex-Harvard Law School\n\n**😩 The Problem:** Businesses need to collect documents from clients, but the process is often disorganized, time-consuming and insecure.\n\nTo collect documents securely businesses have to either 1) set up clunky client portals with accounts for each of their clients, or 2) create Dropbox/Box folders for each request and email their clients links to an empty folder with a list of what to upload. Both of these methods are a pain for clients, inefficient for the firm, and a nightmare to keep track of.\n\nFirms also have to send out burdensome follow up emails to remind clients to upload their documents, and sift through poorly named and unorganized files to make sense of what their clients sent them.\n\n**🥳 Our Solution**\n\n[Pigeon](https://www.pigeondocuments.com/) is a web platform where you can send itemized request checklists to your clients’ emails so they know exactly which documents you need, clients can securely upload documents into the checklist without needing an account, and you can track and manage all of your requests in an organized dashboard. Pigeon will also send automatic reminder emails to your clients to make sure they submit their documents on time.\n\n**🧐 Take a look** \n\n1. Create a checklist (or load your template)\n\n   ![](https://lh3.googleusercontent.com/boccN9-mRovGWU_Wuqi5G6BYp3VRXY29--x-Dh3kIIRRyhzxuS3DU_ySDYYWhsT9-aZLVJr6CFDM8G6BOrO9hNRgfk0o6feY72_JdzzAw7hccO9NXYADd_auDutby0-LEATGeq4ZD2pVpyl0T4PDhM0)\n\n2. Send it right to their inbox\n\n   ![](https://lh3.googleusercontent.com/1OHnD9sucogc4o8ifg8lVaT_gqXWvCU0LVCQPXJqslq2sX-UieRs8sdqBM2ezFq7PdY4hIKyTN8Qls29Rb3yxdebkkBtgw2uhEVHix3Sn2RXQzq8r8mnC3Fbh1YBkJCgeoTSsW2_4KAKFcNm3GaJMQo)\n\n3. Clients upload documents into a clear, organized checklist\n\n   ![](https://lh6.googleusercontent.com/rQ1CMFwfNeSgig0P0FYwirmfWQ_OudDXZfuDXoplMUS6mZlrd-QG3VA5Bx76DjFA5gW4xd8ux-LrepY8yg3IzdxDy1D7RlRvVV_Jq3j-mTs0CuTrqYCoTiXiIAHDVfSo35vWsmq3l7Zu4m2Nn60ijd8)\n\n4. Track all of your requests in an organized dashboard\n\n   ![](https://lh3.googleusercontent.com/bpEl-IZ8c5Lkb690m1MCXdHJwhNQO6j-UqbZqQx-DF77tTdNg2jGCebERffLv15XJ8xnLwLCdlJ8t22fQtUGfHvUS0t7Mm4n8meh-N-XeshvsTL5kWSjwj5Xta1JwMI1fm2x5WARcDfo9QYqte1pydc)\n\n\nWe also have a host of other useful features including a Microsoft Outlook plug-in, verify/reject, and custom company branding.\n\n**Give Pigeon a try**\n\n✅ **Investors**, use Pigeon to track your due diligence document request process and send out request lists\n\n**💯 Accountants, Fund Administrators, Insurance Brokers, and Claims Processors** use us to keep track of all the documents you’re collecting from clients\n\n😊 **Everyone else** give Pigeon a try or connect us to anyone you think might be interested!\n\nFeel free to book a demo [here](https://calendly.com/adam-sharf/30min?month=2023-02) or sign up for our free trial at [www.pigeondocuments.com](http://www.pigeondocuments.com)!",
        "url": "https://www.ycombinator.com/launches/I4B-pigeon-document-collection-made-easy-organized-and-secure",
        "votes": 32,
        "created_at": "2023-02-20T20:03:13.347Z"
      }
    ]
  },
  {
    "id": 27697,
    "name": "Lume",
    "slug": "lume-2",
    "former_names": [
      "Abyssinia"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/053379bcb6d2f8ca33ff9eb81f1d899a06a6872a.png",
    "website": "https://www.lume.ai",
    "all_locations": "",
    "long_description": "Lume speeds up customer implementation with AI. Lume helps teams analyze, map, and ingest customer data up to 87% faster, accelerating time-to-revenue.",
    "one_liner": "Speed up customer implementation with AI",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1675974530,
    "tags": [
      "SaaS",
      "B2B",
      "Data Engineering",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Unspecified"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/lume-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/lume-2.json",
    "year_founded": 2022,
    "city": null,
    "country": null,
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        "full_name": "Robert Ross",
        "title": "Founder",
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        "user_id": 1159508,
        "full_name": "Nicolas Machado",
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      },
      {
        "user_id": 1141304,
        "full_name": "Nebyou Zewde",
        "title": "Founder",
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        "title": "General Catalyst and Khosla Ventures back data mapping startup Lume | TechCrunch",
        "url": "https://techcrunch.com/2024/11/12/general-catalyst-and-khosla-ventures-back-data-mapping-startup-lume/",
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      {
        "id": 81770,
        "title": "Lume: Automate data mappings using AI",
        "tagline": "Ingest client data, normalize data from different sources, and build data pipelines, automatically.",
        "body": "**TL;DR**\n\nLume helps teams map data between systems with AI. If your team spends time mapping data for customer data onboarding, data normalization between systems, or mapping for data integrations, we can help! Please go to our [website and sign up](https://www.lume.ai/?utm_source=ycombinator&utm_medium=social&utm_campaign=launch_yc_5_24) for a free trial.\n\n—-\n\nHi everyone! We are Nicolas, Nebyou, and Robert, the founders of Lume. We are on a mission to automate the painstakingly manual process of data mapping, after experiencing this frustration as engineers ourselves. We have onboarded several customers who are growing and are excited to help more teams use AI in their data mapping workflows.\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/77b12bac-08ae-40df-9984-f0cbc0f10c1d)\n\n**🧨 Problem**\n\nThe usual mapping process involves a labor-intensive cycle: analyzing data to determine what's relevant, selecting the appropriate properties, developing the mapping logic, and constantly updating mappers to accommodate schema changes in source or target systems. This process, we learned, takes days, weeks, or even months for most teams, and automating it has traditionally been borderline impossible due to unique differences in data.\n\n**✨ Solution**\n\nLume uses AI to automatically map data between any start and end schema, whether it is customer data, external sources, or anything else. Lume provides this via an API and a no-code platform where you can generate mapping logic, review and edit it, and manage multiple data pipelines. Whether you want to onboard customer data, normalize data from multiple sources, or create auto-mapping UIs over Lume, Lume delivers. With automated transformations and data delivery, error and type checking, auto-maintenance with schema inference, and execution via an API or a no-code App for different use cases, teams can spend more time delivering their core value to customers instead of wrangling and manually mapping data.\n\n**🚀 Key Features**\n\n* ✨ Generate mapping logic in seconds: via our API or the Lume app, simply pass in a sample of your source data and a target format, and Lume will generate the mappings.\n* 🛠️ Edit mapping logic: review and edit the mapping logic and mapped data as needed to ensure you have the desired outcome. Leverage tools ranging from natural language all the way to full code edits to edit the mappers quickly and easily.\n* ✅ Deploy mappers: Use the mappers deterministically in your code via our API or the app, allowing you to reliably move data between schemas as you scale your data pipelines.\n* 🤖 Auto-maintain mappers: Lume detects changes in your schemas, notifying you and allowing you to use AI to update the mapping logic, effectively automating your maintenance.\n* 📊 Manage and organize mappers: use Lume’s dashboard to have visibility over all of your mappers and live data pipelines.\n* 📑 Handle any format: Lume supports JSON, CSV, XLS, PDF, and other formats! You can move data through the API or the app.\n* 🔮 Upcoming: adding custom logic with lambda functions, custom validation rules, python SDK, transferring your existing mappings when migrating to Lume, and more.\n\n**⚙️ How it works**\n\n* To create mappers: specify your target structure and provide a sample of source data. This can be done via the Lume API or the Lume Platform.\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/d27fd09d-3943-4748-817a-cb16a4b5952a)\n\n* ✨ Lume’s AI system creates the mappings between any two schemas, ranging from simple 1-1 mappings, time-series aggregations, complex calculations, and ontology classifications.\n* Use the generated mappings and mapping logic: Use the Lume API or the Lume Platform to upload new incoming data and retrieve the corresponding output mapped data and mapping logic. Your data has just been automatically mapped with AI!\n\n  ![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/c25b7d28-9b19-49b5-b103-ad8a69ef21e7)\n\n* For creating robust data pipelines, review and edit the generated mapping logic before running production data. Once saved, you can confidently use these mappers as deterministic pipelines. This is helpful for your data integrations between systems.\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/c9f8696c-e294-4c01-b602-aa16f3635f21)\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/b2766b97-2eda-4dca-baf5-9f87ffb22d8d)\n\n* Alternatively, build on top of the Lume API to deploy your own auto-mapper UI to allow customers to self-onboard.\n\n**💡 Use Cases**\n\nLume handles three core use cases:\n\n* Onboarding Client Data\n* Normalizing Data from Multiple Sources\n* One to Many Integrations\n\nHere are three customer success stories:\n\n* For a growth-stage battery analytics company, mapping each customer’s sensor data went from 2 weeks to 1.5 hours with Lume.\n* For a large HR analytics platform, Lume mapping accuracy reached 95% for their most recent batch of integrations, saving them weeks of onboarding time for mapping and classifying data from incoming systems.\n* For an early-stage financial product startup, Lume is handling \\~500 live data pipelines that are externally facing, constantly mapping and adapting to new incoming data.\n\nAll of these have the common theme of having to map data between unique schemas, where even discrepancies as minor as column name variations make this process time-consuming and near-impossible to automate. This gets even worse at scale. Clients previously were allocating engineers, customer success teams, or offshore labor to analyze incoming data, map the data, and route it to their new systems. This process used to take up to multiple months for some teams, costing significant time and money.\n\nWe serve multiple industries ranging from ecommerce, insurance, manufacturing, and financial products.\n\n**👨‍💻Meet the Team**\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/fe023d78-6ef6-49c3-b202-d264bc80270e)\n\nMy co-founders Nebyou Zewde (right), Robert Ross (middle), and I (left) all met during our first year at Stanford. As engineers ourselves, we’ve spent plenty of time grudgingly going over the manual task of mapping data. We quickly learned that we were not the only ones who faced this problem - most companies spend too much time on this. As AI grads, and with a fire for this problem, we built Lume AI. We are part of the Y Combinator W23 batch, and we’re excited to be launching here.\n\n**🙏 Our ask**\n\n* Sign up for a free trial to get started by [visiting our website](https://www.lume.ai/?utm_source=ycombinator&utm_medium=social&utm_campaign=launch_yc_5_24) or [booking a call here](https://cal.com/team/lume/intro). We’ll get you on a Slack and onboarded quickly.\n* Share this with anyone who works on data mapping for customer onboarding, data normalization, or moving data between any two systems. We support a variety of use cases.\n* Upvote and share this post!\n\n**💥 The Deal**\n\nMention you saw Lume via Launch YC, and we will give you a 50% discount for your first 6 months. We also offer a free pilot.",
        "url": "https://www.ycombinator.com/launches/LGs-lume-automate-data-mappings-using-ai",
        "votes": 40,
        "created_at": "2024-06-26T17:31:22.598Z"
      },
      {
        "id": 70009,
        "title": "Lume - No-code tool to create and maintain custom data integrations",
        "tagline": "Lume uses AI to automatically transform data between any start and end schema.",
        "body": "**TL;DR**\n\nLume helps engineering teams build and maintain custom data integrations with no code. If you spend countless hours manually transforming data for custom integrations, we can help! Please go to our [website](https://www.lume.ai/?utm_source=ycombinator&utm_medium=social&utm_campaign=launch_yc_5_23) and sign up for our private beta.\n\n—-\n\n---\n\nHi everyone! We are Nicolas, Nebyou, and Robert, the founders of Lume. We are on a mission to empower companies to focus on delivering their core value proposition rather than spending time on data integrations and transformations. \n\n![uploaded image](/media/?type=post&id=70009&key=user_uploads/1157038/0a606e9a-7357-4f36-bd06-be63bddcd635)\n\n**🧨 Problem** \n\nEngineers spend countless hours manually transforming data for custom integrations or pay large amounts to consulting firms to do the same. Dynamic schemas from different clients or apps require engineers to build and maintain custom integration pipelines one by one, and companies spend days, weeks, and even months building integrations. Lume is tackling this problem head-on. \n\n**✨ Solution**\n\nLume uses AI to automatically transform data between _any_ start and end schema and pipes the data directly to your desired destination. Lume provides this through a no-code platform where you can build and maintain your custom data integrations. Whether you want to map multiple sources to your internal unified schema or connect to your third-party apps without manual mapping, Lume delivers. With automated transformations and data delivery, backtesting and data quality checks, and version control, engineers can spend more time delivering their core value to customers instead of wrangling and manually mapping data. \n\n**⚙️ How it works**\n\n* You connect your custom schemas and authenticate into your desired apps.\n* Lume’s AI system creates the transformations between any two schemas, ranging from internal schemas to structured third-party apps.\n* Once you validate the transformed data, Lume will pipe the correct data to your specified destination.\n\nWe can connect to your data warehouse and leverage its compute to keep your data in-house.\n\n**Common Use Cases:**\n\n* Internal: Transforming separate data sources into one unified internal ontology\n  * Ex: a unified schema between Salesforce, Hubspot, Quickbooks, and Pipedrive.\n* External: Custom syncs between your SaaS apps\n  * Ex: Enrich CRM data from multiple sources before sending it to your BI tool\n* Onboarding: Mapping prospective client data to fit your product’s input schema\n  * Ex: Consulting firms mapping each new clients’ unique ERP schemas to their internal ontology on Snowflake.\n* Migration: Creating custom integration pipelines between competitor products to yours \n  * Ex: New productivity tool startup creates an “Import from Notion/Evernote” for newly converted users.\n\n**👨‍💻Meet the Team**\n\n![uploaded image](/media/?type=post&id=70009&key=user_uploads/1157038/86b2a6a9-5fb4-4300-be17-30125bdb80fa)\n\nMy co-founders Nicolas Machado (right), Nebyou Zewde (middle), and I (left) all met during our first year at Stanford, where we received our undergraduate and Master's degrees in computer science with a focus on Artificial Intelligence. With experience working at both unicorn startups and big tech companies, our team has knowledge and experience building and deploying applied machine learning systems.\n\n**🙏 Our ask**\n\n* Sign-up for our [private beta](https://www.lume.ai/?utm_source=ycombinator&utm_medium=social&utm_campaign=launch_yc_5_23) if you want to try Lume and see a demo.\n* Share this with anyone that works on custom data integrations.\n* Upvote and share this post!\n\n**💥 The Deal**\n\n**Sign-up before demo day for a 50% discount for the first year!**",
        "url": "https://www.ycombinator.com/launches/IDB-lume-no-code-tool-to-create-and-maintain-custom-data-integrations",
        "votes": 251,
        "created_at": "2023-03-07T18:12:57.774Z"
      }
    ]
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  {
    "id": 27698,
    "name": "Viddy",
    "slug": "viddy",
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    "website": "https://www.viddyapp.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "A brand new way to create landing pages that's video-native. Traditional ways of building landing pages are too costly (money & time) and brands want to experiment more. Our landing pages rely on video content to do the heavy lifting from a dev & design perspective.\r\n\r\n\r\nOur landing pages convert well (+15-30% across channels such as paid ads, email, and sms) and take <20min to create. This means brands can test over 10x what the currently do with Viddy.",
    "one_liner": "A new way to create landing pages that is video-native.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1673896172,
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      "E-commerce"
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/viddy",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/viddy.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/viddyapp",
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      "name": "Brad Flora",
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    "founders": [
      {
        "user_id": 1164333,
        "full_name": "Harris Gani",
        "title": "Founder",
        "founder_bio": "Harris is a co-founder of Viddy. He has a product and engineering background having worked at a variety of companies such as Frame.io, Pangaea Holdings, Zynga, and Sotheby's. In his free time you can likely find him playing tennis, exploring art exhibits, or shooting on his film camera.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/harrisgani/",
        "x_url": "https://twitter.com/HarrisRules13",
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      },
      {
        "user_id": 1164831,
        "full_name": "Nihar Patil",
        "title": "Founder",
        "founder_bio": "Nihar is a co-founder of Viddy. He has a product and engineering background having worked at a variety of companies such as Uber and Pangaea Holdings. In his free time you'll find him producing music or playing his guitar.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/niharpatil/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e940d79b6eabee8a6827e488e3bb5577ebedd204.jpg"
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      {
        "id": 74475,
        "title": "Viddy - E-commerce video storefronts that convert paid social ads better than Shopify",
        "tagline": "We optimize DTC brands’ paid social marketing by creating fast video shopping experiences that feel like social apps.",
        "body": "Hi everyone, we’re Harris and Nihar — we’re reinventing online shopping experiences to make content the focal point so that they perform more efficiently for marketers on social platforms like Meta (Facebook & Instagram), TikTok, and Snapchat!\n\n## **📔 TL;DR**\n\nOur Video Storefronts are a new shopping experience designed specifically for paid social ads. We enable e-commerce brands to create a cohesive shopping journey from video-first social platforms to their storefronts. Using them, our customers have been able to increase return on ad spend (ROAS) by 30% and decrease CAC by 20%. As a part of this launch we’re offering 1 Month Free as outlined below in the ‘Asks’ section.\n\n## **❌ The Problem: E-commerce brands are losing marketing efficiency on paid social ads due to iOS 14**\n\nDue to iOS 14’s privacy tracking updates, e-commerce brands are facing rising customer acquisition costs (CAC) and declining ROAS on social platforms like Meta, TikTok, and SnapChat. Brands are lacking efficient and modern shopping experiences to combat this.\n\nOnline shopping hasn’t changed in 10+ years, but _where_ shoppers are discovering brands has changed dramatically. Now, shoppers are discovering brands on social media platforms where video is the main medium. This preferred medium of video is completely lost when a shopper arrives on a Shopify website from social media - a pretty large disconnect.\n\nBuilding shoppable video experiences that feel as snappy as an app in the browser isn’t something Shopify and other site builders support. This limits brands to testing simple things like copy changes and different hero images on their websites…things that don’t really move the needle from a core metrics perspective (CAC, ROAS, conversion rate, etc.)\n\n## **🎉 The Solution: Shopping experiences native to social media**\n\nOur Video Storefronts enable a new shopping experience that is native to the video-first medium of social media. Brands have success using our Video Storefronts as the landing pages for their paid social ads.\n\nBrands can create as many Video Storefront links as they’d like so they can create a storefront per product, per video, per ad campaign, per you name it! This lets brands curate each experience for the shopper and ultimately create a more cohesive end-to-end shopping experience.\n\n![uploaded image](/media/?type=post&id=74475&key=user_uploads/1164333/178bda56-a114-4b9b-921a-0d60da5ef58c)\n\n## **⚙️ How it works**\n\nUsing our Video Storefronts is very straightforward. Since we don’t touch a brand’s actual website and host everything ourselves on your subdomain, we actually require zero engineering resources to get live!\n\nAll we need from a brand to create a Video Storefront link is (1) a video and (2) a products list to feature in the storefront. It usually takes brands <1 day to get their first Video Storefront live. Once a brand has their storefront link, they can drop it in their social ads manager platforms to be the landing page for existing ad campaigns. This lets brands monitor results using tools they are already familiar with.\n\n![uploaded image](/media/?type=post&id=74475&key=user_uploads/1164333/efda7308-5465-48bc-a5a8-8fb7b5773bdb)\n\n## **📈 What results can you expect?**\n\nWe work with 7-figure and 8-figure revenue brands and have increased their ROAS by 30% and decreased their CAC by 20% by using our Video Storefronts. We are constantly A/B testing improvements on our shopping experience (the UX, layouts, interactions, etc.) and rollout the winning tests we conduct on your behalf so things are always improving 🙂.\n\n## **🙏 Asks**\n\nFor a limited time, we’re currently offering 1 Month Free of our Video Storefronts product for e-commerce brands doing at least $1M in annual revenue that [**sign up from this link**](https://www.viddyapp.io/partnerships/yc-video-storefronts-launch?utm_source=yc-launch&utm_medium=yc-launch-video-storefronts&utm_campaign=yc-launch-video-storefronts&utm_id=yc-launch-video-storefronts).",
        "url": "https://www.ycombinator.com/launches/JND-viddy-e-commerce-video-storefronts-that-convert-paid-social-ads-better-than-shopify",
        "votes": 19,
        "created_at": "2023-08-29T15:43:24.279Z"
      },
      {
        "id": 68494,
        "title": "🛒 Viddy - Shoppable video experiences for e-commerce",
        "tagline": "We let e-commerce brands add interactive and shoppable video experiences (think Instagram Stories and TikTok feeds) to their websites to increase personalization and conversion rate.",
        "body": "**🚀 TL;DR Short-form video is the new default medium of content consumption, but e-commerce hasn't adapted and has been static text & images for +10 years. Viddy bridges this gap by bringing familiar and interactive video UIs that are shoppable to e-commerce.**\n\nHi everyone👋 Harris and Nihar here from Viddy! We’re on a mission to change the future of online shopping.\n\n### **🚨 The Problem**\n\nConsumer behavior is shifting towards consuming more short-form vertical video (thanks to TikTok, Instagram, SnapChat, YouTube Shorts, etc.), yet e-commerce has been static text and images for over 10 years.\n\nE-commerce brands and their storefronts have struggled to adapt to this video-first trend, leading to their conversion rate and engagement consistently dropping year over year. Lower conversion rate and engagement leads to lower revenue, retention, and LTV.\n\n# \n\n### **🎯 Our Solution**\n\nWe've built familiar video UIs (such as Instagram Stories, animated carousels, swipeable TikTok feeds, among others) that can be easily embedded on an e-commerce website. See examples below:\n\n![](https://t20558217.p.clickup-attachments.com/t20558217/75c857dc-99f2-43e9-9bca-7019b7908c91/img1.png)\n\nBrands can feature custom call-to-actions within videos (for example: taking a quiz, booking a demo, viewing a product page, etc.). See our mobile optimized video player in expanded view below:\n\n![](https://t20558217.p.clickup-attachments.com/t20558217/054c0633-9fb3-4424-bd51-e0561c6ee71b/img2.png)\n\nEverything is configurable and customizable in terms of what videos a brand wants to use to the look & feel of our video player. See our CMS below:\n\n![](https://t20558217.p.clickup-attachments.com/t20558217/3f897964-6394-486e-8fa9-d421676c5953/image.png)\n\n**You** [**try a live demo here**](https://www.viddyapp.io/?utm_source=yc_launch_post&utm_medium=yc_launch_post&utm_campaign=yc_launch_post&utm_id=yc_launch_post#live-examples) **here** **to play around with our video experiences firsthand!**\n\n# \n\n# 🧐 **How it works**\n\n1. Upload your video assets to the Viddy CMS\n2. Add any call-to-actions you want within your videos\n3. Select which video UI you want to use (Stories, Carousel, Floating Player)\n4. Copy code embed and place on your site and voila!\n\nIt usually takes 1-2 days to get live and all our customers have seen a +10x ROI.\n\n# \n\n# **💬 Backstory: we come from e-commerce**\n\nWe come from the e-commerce industry and have led growth and experimentation of large DTC brands. We led a men's skincare brand that struggled to educate men on how to use skincare products (what does each product do, how much, how often, which order, etc.). Explaining this with video always performed better than static text, but getting people to engage with YouTube or Vimeo embeds wasn't great.\n\nWe noticed that video UIs that are on par with mobile social apps are not readily available to non-technical website managers (a growing segment with the advent of Shopify, Webflow, Wix, etc.) and we're here to fix that.\n\n# \n\n# **⚡️ Our ask**\n\n* **If you know any folks at e-commerce brands and can make a warm intro, please email us at** [**founders@viddyapp.io**](mailto:founders@viddyapp.io)\n* **Want to join the platform? You can join our waitlist** [**here**](https://www.viddyapp.io/contact?utm_source=yc_launch_post&utm_medium=yc_launch_post&utm_campaign=yc_launch_post&utm_id=yc_launch_post)**.**",
        "url": "https://www.ycombinator.com/launches/Hok-viddy-shoppable-video-experiences-for-e-commerce",
        "votes": 24,
        "created_at": "2023-01-17T17:24:25.913Z"
      }
    ]
  },
  {
    "id": 27699,
    "name": "Concourse",
    "slug": "concourse",
    "former_names": [
      "Factr"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a23ab54dfc7d4f1d332c905fd3e054c452007712.png",
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        "body": "**TL;DR** Mulligan is an end to end AI automation platform for commercial insurance brokers. Cuts time spent on quoting, policy checking, proposals and more by 90%.\\\nStart for free at [usemulligan.com](http://usemulligan.com)\n\n[Check out our launch video](https://drive.google.com/file/d/13cMUq8gAs5q-ZjXVqoS7SLv7pAC1ljYF/view?usp=sharing)!\n\n# **Intro**\n\nI’m Aman and we’re building Mulligan, the world’s first end-to-end AI automation platform for commercial insurance brokers. It automates Quoting, Policy Comparison, Proposals, Commissions and more. We work with dozens of brokers and have helped all of them scale their businesses without adding more employees.\n\n# **Problem**\n\nSelling and servicing commercial insurance is a complicated process to begin with, and the manual paperwork involved makes it difficult to scale profitably. Brokers have to spend hours reading lengthy documents, navigating ancient portals and formatting documents to fit into their internal systems.\n\nExisting automation tools typically only address narrow workflows and do not integrate with each other, which means that automating a brokerage involves juggling multiple solutions and integrations.\n\nThe end result is that brokerages spend hundreds of hours every week, and billions of dollars annually, on non-revenue generating tasks and outsourcing.\n\n# **Solution**\n\nMulligan assembles submissions, generates quotes from carrier portals, compares quotes and policies, generates proposals and handles commission statements in minutes, without needing your hands-on-keyboard. Here’s what it can do:\n\n### **Quoting**\n\nQuote from one of the largest selections of commercial lines insurance carriers for Commercial Auto, Workers’ Compensation, Business Owners’, General Liability and Trucking policies. Do so with minimal data entry and largely without human intervention. This makes it easy for an agent to get a more complete view of the market, do less data entry and spend more time with their customers.\n\nTo use it, select the carriers to quote, upload any documents that contain relevant data and click “Submit’’. Mulligan then logs into and produces draft quotes in each carrier portal, ready to review, edit and bind.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/6f26d394-1c38-4f97-a17e-99c397e184db)\n\n### **Policy Checking & Comparison**\n\nAnalyze quotes, binders or policies, compare across documents and identify gaps in coverage. Manually analyzing these documents used to take hours, if not days, and can now be done in minutes. This tool can be used to service existing customers, as well as to help close new ones by analyzing their existing policies and identifying areas of improvement.\n\nSimply upload docs, view them side-by-side, chat with them and match them to checklists to identify gaps.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/dbc87031-968d-4c02-8301-d77ee5cd94d3)\n\n### **Proposals**\n\nGenerate beautiful, branded proposals using quotes, policies and binders in minutes. These documents can be produced in Mulligan’s own design format, or using a template provided by the agency. The end result is a document whose style, content and tone showcases the agency’s professionalism and thoroughness.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/f393c554-a4f4-4485-8d9a-9e89bfe6248e)\n\n### **Submissions**\n\nProduce clean, complete and professional submissions to send to underwriters. Upload diverse documents such as loss runs, SOVs, vehicle and driver lists, and produce easily ingestible documents with just a few clicks. These submissions help portray the customer in the best possible light, and get processed by underwriters faster since they are well organized and easy to process.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/66ba3d38-9f05-4ae9-a64f-fccefee61a2c)\n\n### **Commissions**\n\nExtract commissions from lengthy statements and transform them into a format expected by most popular Agency Management Systems such as Applied Epic, AMS360, EZLynx, Veruna and more. Furthermore, review the values in the commission statement to check if there’s an underpayment from the carrier, or to reconcile the books faster.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/218d7bc3-1aa4-45d6-abb8-0ddabd48c31f)\n\n# **How to get started**\n\nIf you are an insurance agent working on commercial lines, or know someone who is, sign up at [usemulligan.com](http://usemulligan.com) for free and get started today. Mulligan has already been deployed across organizations of various sizes, and offers flexible pricing models that fit any budget.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/ac7eae38-9fd9-434a-924d-eadc97472b0c)\n\n",
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        "body": "[Dashdive](http://dashdive.com) attributes AWS, GCP, Azure and other cloud services costs to features, products, teams and customers. These data help companies understand how their profitability breaks down by product and customer, allowing them to make optimal strategic decisions about pricing, resource allocation and cloud architecture.\n\n### Problem\n\nMost tech companies **don’t know how much it costs to serve each of their customers with each of their products**. Cloud costs are typically a tech company’s second-largest cost (after personnel), and they can vary significantly even on a per-unit basis, i.e. irrespective of volume.\n\nWithout per-customer and per-product cost information, companies can’t reliably know:\n\n1. What’s our margin on Customer A?\n2. What’s our margin on Product B?\n3. Which usage events drove Customer C’s costs last month?\n4. What are our costs likely to be on new Customer D?\n\nNormally, if an engineering or finance team wants to know the answer to one of these questions, they have to either 1) **make an estimate that could be wildly inaccurate** based on average total costs or 2) “**track down an engineer** to run experiments in AWS.” (That was a direct quote from a CFO.)\n\n### Solution\n\n![uploaded image](/media/?type=post&id=70237&key=user_uploads/1165030/8fb86e1e-9f54-4127-ad9e-e0ac5daf701f)\n\n**Dashdive answers these questions** by monitoring backend services (servers, databases, etc.) with lightweight agents. These agents **attribute the activity on each cloud service to specific features and customers** using distributed tracing and continuous profiling. Then, the usage data are **mapped to cost** data via AWS/GCP/Azure billing APIs. The result is a complete picture of who and what are driving cloud costs over time.\n\nGranular cloud cost data allow companies to:\n\n1. Know if they’re pricing an existing customer too low—or below cost.\n2. Hone in on individual lines of code and architectural decisions that incur disproportionate costs. (Other tools can only give generic cost-cutting recommendations based on total costs, e.g. “consider reserving storage in advance for a discount,” since they just repackage existing AWS billing data.)\n3. Give customers who complain about high bills or opaque pricing an adequate explanation (and perhaps even suggested usage patterns to reduce future bills).\n4. Better forecast the cost of serving a new customer based on expected usage. This helps teams price contracts optimally to hit margin goals consistently.\n\n### Setup\n\nInstallation only involves deploying Dashdive agents to each service of interest. This takes five minutes and requires **zero code changes**. Although our backend is cloud-based by default, **Dashdive can be self-hosted** for companies that need to keep all data within their ecosystem.\n\n![uploaded image](/media/?type=post&id=70237&key=user_uploads/1165030/943447c4-84fd-4a29-a67c-46f3ae266fcc)\n\n_This is the entire setup for AWS Lambda, a popular cloud service._\n\n### Why Now\n\nSupply and demand factors make now the perfect time to launch this product:\n\n* **Supply**: Monitoring technologies eBPF and OpenTelemetry have come a long way in the past few years. Both technologies allow seamless monitoring of different technology stacks, removing friction where engineering teams would have otherwise needed to make significant investments in setup and maintenance. Application performance monitoring companies like Datadog have proven that monitoring dozens of services is technically feasible and can be profitable even at scale.\n* **Demand**: As the cost of capital has increased and fundraising has become less certain, profitability is the only way to guarantee business survival. Business and engineering leaders are placing newfound importance on margin health.\n\nGiven these factors, this opportunity emerged in the last twelve months.\n\n### Get in Touch\n\nMore information at [dashdive.com](http://dashdive.com). Inquiries can be sent to [team@dashdive.com](https://mailto:team@dashdive.com).\n\n![uploaded image](/media/?type=post&id=70237&key=user_uploads/1165030/e5803ab1-04cb-4a16-b4f5-f87c2ec6bb68)\n\nDashdive’s founders met in college at Stanford University. Bringing strategy and sales experience, [Micah](https://www.linkedin.com/in/micah-wheat/) (left) worked at the Boston Consulting Group. [Adam](https://www.linkedin.com/in/adamshugar/) (right) developed his engineering background at Palantir and Apple.",
        "url": "https://www.ycombinator.com/launches/IGr-dashdive-break-down-cloud-costs-by-feature-and-customer",
        "votes": 86,
        "created_at": "2023-03-13T19:11:21.449Z"
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        "title": "FlexDesk - Booking engine for coworking space",
        "tagline": "We help companies book, manage, and track their spend on coworking space",
        "body": "👋 Hey everyone, we’re [Clark](https://www.linkedin.com/in/clark-jacobs-19a86665/) & [Dhanvi](https://www.linkedin.com/in/dhanvi/) from FlexDesk.\n\n**_Tl;dr:_** _Through FlexDesk, your employees can search and book from a network of 7,000+ coworking locations worldwide. For employers, FlexDesk makes it easy to create spend policies, track bookings, and streamline billing across all employees, geos, & brands._\n\n### **🥴 Problem**\n\n**1 - Search and discovery:** The coworking landscape is fragmented. Less than 65% of people live within a 50 mile radius to a WeWork location. 75% of workers have experienced it taking longer than 30 minutes to identify and book a coworking space.\n\n**2 - Spend controls and tracking:** It is currently hard to create and enforce standardized spend/booking controls. Companies have reported employees renting $400+ daily conference rooms to serve as their ‘personal office’.\n\n**3 - Payments:** Employees are currently required to pay for each booking using a credit card and submit for reimbursement. This is cumbersome for both employees and the company’s Accounting department, especially when dealing with multiple currencies.\n\n### **🔥 Solution**\n\n**1 - Booking engine:** Search and rent from a network of 7,000 coworking locations worldwide - including WeWork, Regus, and thousands of local brands.\n\n**2 - Compliance + system of record:** Create and enforce custom booking/spend policies. Track and analyze all bookings to inform and refine coworking strategy.\n\n**3 - Streamlined billing:** One bill across all employees, geos, and brands.\n\n![uploaded image](/media/?type=post&id=68615&key=user_uploads/494003/9795eb02-917f-4ec0-ba42-c3880873f753)\n\n### **💵 Bottom line impact**\n\nFlexDesk is a **win-win-win** across all major stakeholders at a company.\n\n* **For Real Estate teams:** Eliminates manual work that previously took up 15% of their workweek.\n* **For Finance teams:** Unlocks 10% savings compared to going direct with a single coworking brand. Unlocks 60%+ savings compared to a traditional lease strategy.\n* **For People teams:** Empowers employees with the freedom of choice to find a coworking space that fits their needs and within a short commute.\n\n### **🤔 Why do companies use coworking space?**\n\n* **Distributed workforce:** Hiring across the US/world, while simultaneously downsizing and even exiting office leases given low utilization + high opex.\n* **Dynamic space needs:** Established an ongoing need to support employees with space for in-person collaboration, to meet with clients, and to escape WFH.\n* **Flexible and cost-efficient:** Coworking space offers companies the flexibility to address each of these needs at a significantly lower cost than a traditional lease.\n\n**Enter FlexDesk to offer spend controls, data visibility, and a booking engine with global coverage 🌎**\n\n### **😎 How to sign up**\n\nIf your business **currently uses coworking space or is thinking about it**, we would love to chat with you or the appropriate person at your company. Email [clark@flexdesk.com](mailto:clark@flexdesk.com) and [dhanvi@flexdesk.com](mailto:dhanvi@flexdesk.com) or schedule a meeting with us [here](https://calendly.com/clark-flexdesk/30-minute-meeting).",
        "url": "https://www.ycombinator.com/launches/Hqh-flexdesk-booking-engine-for-coworking-space",
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        "created_at": "2023-01-23T05:04:29.847Z"
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        "founder_bio": "Vishnu Menon is the Co-founder & CTO of Nebula, where he builds tools that help engineers be productive in microservice architectures. Previously, he was co-founder at an ML startup (Toucan AI) and lead data & platform projects at a MarTech software provider (AddShoppers). He earned a degree in Computer Science from Duke University.",
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        "id": 69881,
        "title": "Nebula 🌌 - Understand & debug enterprise-scale codebases",
        "tagline": "Simplifying microservice development ",
        "body": "### TL;DR\n\n[**Nebula**](https://www.trynebula.com/) **is a code navigation tool that helps developers quickly understand & debug distributed systems. We make it easy to follow service dependencies & the flow of data across your microservice architecture, saving developers tens of hours per week. Request early access** [**here**](https://mzgq3tvfxmu.typeform.com/to/DD8HB5A5)\n\nHey everyone, we're the founders of Nebula!\n\n![uploaded image](/media/?type=post&id=69881&key=user_uploads/888634/dd916b21-6237-4b46-ab5b-91a02851586a)\n\n**Shanelle** was previously a PM at Google, where she saw firsthand the productivity loss that came with complex microservice architectures.\n\n**Vishnu** is a second-time founder who has previously built developer platforms & ML-based document retrieval systems.\n\nWe've experienced the frustration of seemingly simple features taking months to launch because of the complexity of unwieldy microservice architectures. Building on open-source tooling designed to handle Google-scale codebases, Nebula aims to make it simple and painless to develop microservices.\n\n### Problem 😔\n\n[85% of enterprise companies](https://www.statista.com/statistics/1236823/microservices-usage-per-organization-size/) use a microservice architecture. However, as these codebases scale in size & complexity, developer velocity often slows drastically:\n\n1\\. **trivial changes take weeks to implement** because they impact multiple services or teams across the org\n\n2\\. it takes **longer to debug** issues because it's hard to track the flow of data across your system\n\n3\\. **onboarding** a new developer onto your codebase can take weeks, if not months\n\nCompanies that switch to microservice architecture often see a dramatic increase in the cognitive overhead required for their engineers to be productive.\n\nWe've done deep dives with best-in-class companies like Netflix and Linkedin to learn how they dealt with the growing complexity of their codebases. We're combining their most effective strategies with insights from Shanelle's experience at Google to build Nebula.\n\n### How it works [🥳](https://emojipedia.org/partying-face/)\n\nNebula deploys in your cloud & continuously analyzes your codebase to generate an index of inter-service communication, then exposes this info in three ways:\n\n1\\. An **IDE extension** that shows how a line of code fits into the overall system (e.g. service dependencies, cross-references, recent traces, etc.)\n\n2\\. An **auto-generated service catalog** that includes service interfaces, usage examples, and service contributors (no maintenance required)\n\n3\\. A **GraphQL endpoint** that exposes all this data for integration with your existing DevTools\n\n![uploaded image](/media/?type=post&id=69881&key=user_uploads/888634/69cc9b1f-5205-402a-9317-48b163d68832)\n\n![uploaded image](/media/?type=post&id=69881&key=user_uploads/888634/a714fb97-d518-478a-9952-aa58ed4d1dd9)\n\n### Our Ask [🙏](https://emojipedia.org/folded-hands/)\n\n1\\. If you're a company with >100 microservices or engineers that is looking to boost its development velocity, you can [email me](mailto:shanelle@trynebula.com?subject=YC%20Launch%20-%20interested%20in%20Nebula) or schedule a [quick chat](https://book.vimcal.com/p/z5RvBJx51onH1zTj).\n\n2\\. Know any teams that are struggling to wrangle their microservice architecture? [Intro us](mailto:shanelle@trynebula.com?subject=YC%20Launch%20-%20Nebula%20customer%20intro)! **If your referral becomes a paying customer, we'll send you a $500 Amazon gift card**",
        "url": "https://www.ycombinator.com/launches/IB7-nebula-understand-debug-enterprise-scale-codebases",
        "votes": 130,
        "created_at": "2023-03-02T19:58:46.522Z"
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    "name": "Trackstar",
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    "team_size": 10,
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    "subindustry": "B2B -> Supply Chain and Logistics",
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        "full_name": "Jeremy Schneck",
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        "full_name": "Daniel Langer",
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        "title": "Trackstar – Plaid for supply chain logistics",
        "tagline": "We make it possible for software companies to integrate with warehouse management systems via a universal API.",
        "body": "### **TL;DR Supply chain logistics is an $11 trillion global industry that is still in the early innings of digitization. Trackstar’s universal API lets software companies integrate with any warehouse management system in hours, not months.**\n\nHi everyone 👋, we’re [Daniel](https://www.linkedin.com/in/daniel-langer-84846548/) and [Jeremy](https://www.linkedin.com/in/jeremy-schneck-a67b5479/) from Trackstar! We are on a mission to digitize the global supply chain – one API at a time.\n\n![uploaded image](/media/?type=post&id=70084&key=user_uploads/1155870/53fd0b5a-6777-4d6c-94e5-a8057c816dad)\n\n### 🩺**The Problem**\n\nInnovation in the supply chain industry is stifled by the lack of accessible data. For example, there are hundreds of warehouse management systems, most of which are legacy tools with poorly documented APIs or no APIs at all.\n\nCompanies that work on inventory planning, supply chain visibility, product returns, financing, warehouse operations, and more, are forced to build, maintain, and normalize data across one-off supply chain integrations. \n\nThese companies…\n\n* **Drain time and resources** trying to integrate with enough of the WMS market;\n* **Miss out on winning new business** by not supporting integrations that their customers need;\n* **Or never start** because the integration hurdle prevents them from even entering the market.\n\n### 💡**Our Solution**\n\nA universal API for the global supply chain. Our API for warehouse management systems lets software companies build once against a single API and instantly read and write data from any WMS. \n\nWMS is just the beginning. Digitizing these systems will enable a wave of existing and new SaaS companies to build a more efficient and sustainable supply chain.\n\n### **📜How It Works**\n\nWith our universal API, companies can offer WMS integrations without the dev work, and focus their time and resources on their core product.\n\n![uploaded image](/media/?type=post&id=70084&key=user_uploads/1155870/7e55987e-cc1c-44f7-a7be-d2ab21e3d1da)\n\n### ⚡**Asks**\n\nIf you know any companies that currently integrate with or are looking to integrate with WMS, please send intros to [founders@trackstarhq.com](mailto:founders@trackstarhq.com).\n\nWant to be an early customer? Visit us at [trackstarhq.com](http://trackstarhq.com) and add your name to the waitlist!",
        "url": "https://www.ycombinator.com/launches/IEO-trackstar-plaid-for-supply-chain-logistics",
        "votes": 34,
        "created_at": "2023-03-09T06:13:37.876Z"
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    "name": "Demospace",
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        "body": "**TLDR:** [**Fabra**](https://www.fabra.io) **makes it easy for B2B SaaS companies to ingest from their customer's data warehouse into their application.**\n\nCole and Nick here— we’ll help you add this interface to your product in less than a day:\n\n![](https://lh5.googleusercontent.com/SnXaeK0uSk1Ht-WX--sfj9Rh46In1Uxn2QsMjUFkk-M4c2RB2UAgvO8cqroNBOE2ACuT3vOlwzmoZvUIIXhbEhf37ob6A3xPNXJY0wfaZ39b6KOLGR1twoJpmxWrjGuOcBuO2CQ1Ggmmqlai9jQQkak)\n\n### **Problem:**\n\n**As SaaS companies move upmarket, they start to encounter more customers who are blocked by data warehouse integrations.** To close these customers, companies have two options:\n\n1. Build and maintain integrations with every data warehouse themselves.\n2. Ask their customers to obtain a reverse ETL tool.\n\nDepending on the path companies choose, this can take months of development or cause them to lose customers who refuse to procure a new tool.\n\n### **Solution:**\n\n[**Fabra**](https://www.fabra.io) **provides a quick and easy solution for companies to build customer-facing data warehouse integrations**. With Fabra, you no longer have to worry about the integration process blocking your sales pipeline or taking up resources for ongoing maintenance.\n\nOnce set up, your customers will have immediate access to integrations with **Snowflake, BigQuery, Redshift, and Databricks** (let us know what we should add next!). They’ll be able to map their data to your expected data model and choose the syncing frequency so the data is never out of date.\n\n### **Our ask:**\n\nIf you need access to your customer’s data warehouse, book some time with us [here](https://calendly.com/cole-cable/cole-15-min) or check out our [website](https://www.fabra.io/). Common customer cases we’ve encountered are:\n\n* Customer success platforms\n* CRMs \n* Customer engagement platforms\n\nReach out to us at [founders@fabra.io](mailto:founders@fabra.io) if you have any questions!",
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        "body": "**TLDR: Contractors use Hammr for time tracking, payroll, benefits and compliance — in one place. Our customers save up to 10 hours of busy work per week by ditching multiple systems and spreadsheets and streamlining their workflow on our platform.**\n\n\\\nHey YC! We’re Brek and Sanket, co-founders of Hammr.\n\n![uploaded image](/media/?type=post&id=69825&key=user_uploads/379301/327bced9-c820-4195-a1ab-59ec82a2546f)\n\n### **🏆 Why us**\n\nBrek has built one of the largest construction media outlets and generated 500 million organic impressions via our social media accounts in 2022. Sanket was a founding engineer at Superhuman and has built software used by millions of users at MyFitnessPal. As a team, we have the unique combination of domain expertise, distribution and engineering to build this company and modernize workforce management for the construction industry.\n\n### **💡How it started**\n\nBefore YC, we were building a labor marketplace. Based on customer feedback, we pivoted, and landed our first 5 paying customers based on Figma mockups. \n\n### **🏗 How it’s going**\n\nDuring YC, we’ve built…\n\n1. **Time Tracking** — which has replaced paper time cards or generic time tracking apps for our customers\n2. **Payroll** — which has replaced generic payroll providers (QuickBooks, ADP, and Gusto)\n3. **Job Costing** — which has replaced our customers’ workflow of manually plugging project and hours data into spreadsheets\n\n![uploaded image](/media/?type=post&id=69825&key=user_uploads/379301/c72f491f-f084-484f-9ae7-1fa5eda1eb08)\n\n### \n\n### **🤬 Problem**\n\nContractors are not experts in running a business. They’re masters of their craft. They enjoy spending most of their time in the field with their crew and bidding on new projects. But today they spend 10+ hours every week in busy work just to keep the business running.\n\nThe root cause is tradition back office software is designed for a broad range of industries and contractors are tired of using point solutions with a mix of paper and spreadsheets to manage their workforce.\n\nThese point solutions include…\n\n👨🏻‍🏫 Payroll systems such as ADP or Quickbooks designed for a broad range of industries \n\n💬 Text messages for scheduling and reporting\n\n📊 Spreadsheets for job costing\n\n⏳ Generic time tracking apps\n\n### \n\n### **🔨 Solution**\n\nHammr is an all-in-one platform purpose-built for construction. We deeply understand the perspectives of field workers who build, foremen who manage the field, and business owners and admin staff who run the back-office.\n\nWe’ve combined the simplicity of consumer products into the flexibility and robustness of business software, and created a solution that’s native to how construction companies operate.\n\n![uploaded image](/media/?type=post&id=69825&key=user_uploads/379301/812fbc44-844d-4319-accf-525b2e179af8)\n\n\\\nOur platform seamlessly combines…\n\n🕦 **Time Tracking**: Accurately track time and attendance for the entire workforce with compliant overtime calculations\n\n💰 **Payroll**: Calculate payroll automatically for both W2s and 1099 workers and ensure compliance with labor laws and regulations\n\n📈 **Job Costing**: Real-time fully-burdened labor cost per job helps owners make decisions to drive productivity and profitability\n\n👥 **HR Management**: Manage employee records, benefits, and compliance all in one place\n\n\\\nWe’re on a mission to help contractors spend less time on admin work, so they can focus on growing their business and investing into their biggest asset — their people.\n\n### **🙏🏼 Our Asks**\n\n📣 **Sharing**: Please share this announcement with your network and follow us on [LinkedIn](https://www.linkedin.com/company/hammr/)!\\\n👥 **Referrals**: If you know anyone in the construction industry who could benefit from Hammr, please connect us.",
        "url": "https://www.ycombinator.com/launches/IAD-hammr-rippling-for-the-construction-industry",
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        "title": "⚡️ Brewit - Your AI analyst who answers your data questions in seconds",
        "tagline": "Chat with your data warehouse, generate dashboards and reports within minutes",
        "body": "# **TL;DR:**\n\n[Brewit](https://brewit.ai/?utm_source=yc_launch) helps companies build a business intelligence agent on top of their database and data knowledge. Regardless of their previous technical abilities, anyone can get their data questions answered with beautiful visualizations and insightful interpretations within seconds. Brewit will understand your data schema knowledge, write SQL, and generate the relevant charts behind the scene. It also self-improves as users provide more feedback. [Watch our demo video!](https://www.loom.com/share/f1d6ad7a8d1e4cab97a9fda0f7a6b1be?sid=8e6e0f14-69e0-4846-9761-7287d9c45d21)\n\n### **❌ The Problem**\n\n**Ad-hoc data questions are almost never answered on time:** A mid-sized data team can receive hundreds of data requests per week; on average, it takes 1-2 weeks for these questions to be answered. Not only does this slow down the decision-making process, but it can also derail the data teams from focusing on more meaningful projects.\n\n**Not everyone has the time to learn SQL and visualization tools:** It can take months for someone to master SQL or tools like Tableau, and without these skills, it is hard for someone to perform in-depth analysis or explore the database independently.\n\n**LLM can hallucinate without the relevant context:** Many people use ChatGPT's code interpreter to perform data analysis on specific business tables, but without having the full picture of the company's data schemas and knowledge (aka a semantic layer), ChatGPT often \"hallucinates\" with inaccurate answers. In addition, companies have no oversight of the questions being asked.\n\n### **✨ Our Solution**\n\n1\\. **Fine-tune** the LLM based on your data dictionary and metrics definitions. The agent will self-improve upon users' feedback and corrections\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/57721199-8881-4b54-a514-df2a0cf01770)\n\n2\\. Human-like **analytics** **agent** that can clarify your question, answer it with relevant visualizations, and help you to drill down to uncover more insights, all through natural language\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/b5ab39eb-f87b-41c6-9f31-704d71050c3a)\n\n3\\. Build **reports** with AI-generated insights\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/ab52f79c-13b6-400e-9931-e7fe2778cdb0)\n\n4\\. Save your charts into a **dashboard** and track your key metrics in one place\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/7c2a48ad-8ff0-407d-8ae5-76aca04df540)\n\n5\\. 🔒 Enterprise-level security: You can self-host Brewit in your environment, select your preferred LLM, and integrate with your favorite IM such as Slack\n\n### **🙏 Ask**\n\nWe're live with customers now! Feel free to book a [time](https://brewit.ai/contact) or email [leo@brewit.ai](mailto:leo@brewit.ai) to see a demo.\n\nGive Brewit a [try](https://app.brewit.ai/) - we've connected a demo database for you to play around with the app :)\n\nConnect us to data and analytics leaders in your network!",
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      {
        "id": 87299,
        "title": "Lynx: AI Incident Resolution for Eng Teams",
        "tagline": "Meet Lynx, the platform to help engineers resolve oncall incidents faster!",
        "body": "[Lynx](https://uselynx.ai) is an AI-powered incident resolution platform that helps engineers diagnose and resolve on-call issues faster. If you’ve ever been woken up at 2 AM for a production incident and spent hours piecing together logs, metrics, and documentation, Lynx can help. Sign up on our [website](https://www.uselynx.ai/getstarted), reach out to us at [founders@uselynx.ai](mailto:founders@uselynx.ai), or schedule a time with us on [Calendly](https://calendly.com/codecompleteai/lynx-demo).\n\n### The Problem\n\nSoftware engineering has evolved, but on-call hasn’t. Even with the best observability tools, finding the root cause is slow and frustrating: systems grow more complex, documentation becomes scattered, and tribal knowledge gets lost as engineers leave the company.\n\nCompanies need a faster, more intelligent way to diagnose and resolve issues.\n\n### Our Solution\n\nLynx is an AI-powered **incident resolution platform** that allows engineers to easily investigate and resolve issues directly in their development environment.\n\nCheck out our product [demo](https://youtu.be/atzdMyd7PG0)!\n\nWhen incidents arise, **Lynx will automatically gather information, pinpoint root causes, and perform actions to help fix the issue**. Lynx lives on your dev server, so it can connect with all the tools and integrations in your environment. You can directly run code or execute commands on the Lynx platform in order to resolve your issues.\n\n[Lynx Demo - Directly Resolve Incidents](https://youtu.be/TbvYtI5SstQ)\n\nWe built out chain-of-thought command execution so Lynx can automatically generate queries step-by-step and retrieve all the context it needs.\n\n[Lynx Demo - Chain of Thought Command Execution](https://youtu.be/EANK62F75Pc)\n\nWe implemented several safeguards to ensure Lynx only executes read-only commands, but if you want a bit more control, you can opt to manually approve each command before it runs:\n\n[Lynx Demo - Manual Command Execution](https://youtu.be/oGUpwGSPdVQ)\n\nLynx focuses on helping engineers **resolve** incidents instead of just managing them.\n\n### Why We’re Building This\n\nWe started by building self-hosted, fine-tuned AI coding assistants, but we quickly realized coding was just a fraction of an engineer’s workflow. Teams spend just as much—if not more—time testing, debugging, and deploying.\n\nWe saw an opportunity to apply AI beyond generating new code, with on-call standing out as a major pain point. Engineers were losing hours digging through logs, retracing past incidents, and manually correlating data across tools.\n\nLynx was created to streamline incident resolution, but it goes beyond just on-call incidents. Our vision is to create an AI agent that can understands all the ins and outs of your tech stack so it can predict, investigate, and resolve any technical issue.\n\n### **Ask: How you can help**\n\nIf your team has a heavy on-call burden, we'd love to chat about your workflows and pain points.\n\n* Try out our product! Sign up for our waitlist: <https://www.uselynx.ai/getstarted>\n* Introduce us to engineering leaders or teams who might benefit from Lynx.\n\nQuestions? Visit our [website](https://uselynx.ai/), reach out to [founders@uselynx.ai](mailto:founders@uselynx.ai), or schedule a time with us on [Calendly](https://calendly.com/codecompleteai/lynx-demo).\n\n![uploaded image](/media/?type=post&id=87299&key=user_uploads/471786/1e163e61-6d72-4178-b08b-2342f1ad445d)\n\n",
        "url": "https://www.ycombinator.com/launches/Mi3-lynx-ai-incident-resolution-for-eng-teams",
        "votes": 23,
        "created_at": "2025-01-30T14:29:09.564Z"
      },
      {
        "id": 69046,
        "title": "CodeComplete - GitHub Copilot for Enterprise",
        "tagline": "AI coding assistant for enterprise that is self-hosted to protect their IP and fine-tuned to their codebases",
        "body": "### **TLDR**\n\n[CodeComplete](http://codecomplete.ai) is GitHub Copilot for Enterprise. Large companies can't use Copilot because of the security and privacy risks, so we're building a self-hosted version that’s also fine-tuned to the company's codebase. \n\n**If you (or if you know anyone else who):**\n\n* **Would like to use Copilot at work but cannot, or**\n* **Would like a version of Copilot that’s fine tuned to your enterprise codebase**\n\nPlease reach out to us at [founders@codecomplete.ai](mailto:founders@codecomplete.ai) or schedule a time with us on [Calendly](https://calendly.com/lydia-codecomplete/intro). \n\n—\n\n---\n\nHi everyone, we’re Max and Lydia, and we’re building CodeComplete: an AI-powered code assistant built for enterprise companies. We’re incredibly excited about the advances in generative AI and are on a mission to transform the way developers work. Our code completion product is the first in a suite of AI-powered dev tools we’d like to build. \n\n### **The problem**\n\nWe love GitHub Copilot, but in order to use it, you need to send your code to GitHub, Microsoft, and OpenAI. Many large enterprise companies strictly forbid this due to **security and privacy concerns**, so they cannot leverage AI-powered dev tools to multiply their productivity.\n\nAlso, the underlying **Copilot model is not tuned to your codebase**, so you don't always get relevant suggestions. It’s best practice for developers to use their company’s frameworks and libraries. However, without fine tuning, code generation models can suggest generic code, which decreases legibility and introduces technical debt, performance issues, and security holes in the codebase.\n\n### **The solution**\n\nCodeComplete is a **self-hosted AI coding assistant tool that's fine tuned to your codebase**. We train powerful code generation base models on your codebase so we can deliver more relevant suggestions. We deploy these models directly on-premises or in your own cloud, so your valuable intellectual property stays with your company. With CodeComplete, your team can leverage cutting-edge AI technology to be more productive, quickly ramp up developers, and write better code while staying security compliant.\n\n**Demo**\n\n![uploaded image](/media/?type=post&id=69046&key=user_uploads/1160505/0dbe9136-8d6c-415f-a09e-c6f81bba8ddb)\n\n### **Why we’re building this**\n\nMax wanted to use GitHub Copilot at Meta, but leadership explicitly blocked him from doing so. We believe AI-powered dev tools are the future, and we think they can be especially powerful and deliver value at larger companies. We want to set companies up for success in the long run by helping the millions of developers at these companies leverage new AI technology.\n\n**Buy vs. Build**\n\nThis is not a core competency for many large enterprises. Buying a solution will save millions by freeing up engineering resources and catapulting dev velocity. \n\n### **Ask: How you can help**\n\n* Connect us to an engineering leader at a large company that needs our product. [Email us](mailto:founders@codecomplete.ai)!\n* Connect us to engineers who really want to use Copilot but cannot. [Email us](mailto:founders@codecomplete.ai)!\n* Try out our product. Sign up on our [website](https://www.codecomplete.ai/)!\n* **We will provide a $500 referral bonus if your referral becomes a paying customer.**",
        "url": "https://www.ycombinator.com/launches/Hxe-codecomplete-github-copilot-for-enterprise",
        "votes": 45,
        "created_at": "2023-02-06T14:02:26.861Z"
      }
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    "id": 27725,
    "name": "Parabolic",
    "slug": "parabolic",
    "former_names": [
      "Prayogh",
      "Prayog"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/19e1af8a1c45eebbb38eb6d6fb3a5ea0f0096b9c.png",
    "website": "https://www.growparabolic.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Parabolic is an AI assistant that autodrafts ready-to-send responses for your customer support team. \r\n\r\nEquip your team with the best possible response at their fingertips.\r\n",
    "one_liner": "AI assistant for customer support",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1675746108,
    "tags": [
      "Generative AI",
      "Customer Success",
      "Customer Support"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/parabolic",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/parabolic.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
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    "cb_url": null,
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "user_id": 1085302,
        "full_name": "Shub Viragi",
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        "founder_bio": "",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/sviragi/",
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    "id": 27728,
    "name": "Nango",
    "slug": "nango",
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    "website": "https://nango.dev",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Customers expect your SaaS to integrate with all the software they use.\r\n\r\nWith Nango, you ship integrations your customers love, fast.\r\n\r\nLeverage hundreds of pre-built integrations and unlimited customization.",
    "one_liner": "A single API for all your integrations",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1669371609,
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    "status": "Active",
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      "America / Canada",
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    "url": "https://www.ycombinator.com/companies/nango",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/nango.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nangohq",
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    "github_url": "https://github.com/NangoHQ",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 4364,
        "full_name": "Robin Guldener",
        "title": "Founder",
        "founder_bio": "Founded Nango after seeing first hand how hard it to build product integrations between SaaS.\nPreviously co-founded Avrios, a B2B SaaS for car fleet management, and grew it to 1000+ customers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rguldener/",
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      },
      {
        "user_id": 4587,
        "full_name": "Bastien Beurier",
        "title": "Founder",
        "founder_bio": "Recidivist founder (2 x YC). Previously software engineer at Uber, Trip.com, Triplebyte.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bastienbeurier/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ded56a80d6a52a415fd82cd498b6abe1a7718e4.jpg"
      }
    ],
    "jobs": [
      {
        "id": 73764,
        "title": "Staff Backend Engineer (Remote)",
        "url": "https://www.ycombinator.com/companies/nango/jobs/KplJ2YB-staff-backend-engineer-remote",
        "location": "GB / FR / US / BR / CA / ES / PT / DE / AT / CH / BE / NL / DK / SE / NO / FI / GL / GR / IT / PL / RO / HU / SK / CZ / Remote (GB; FR; US; BR; CA; ES; PT; DE; AT; CH; BE; NL; DK; SE; NO; FI; GL; GR; IT; PL; RO; HU; SK; CZ)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$140K - $220K",
        "equity_range": "",
        "experience": "11+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "React"
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      },
      {
        "id": 85029,
        "title": "Developer Content Engineer",
        "url": "https://www.ycombinator.com/companies/nango/jobs/oO8roCC-developer-content-engineer",
        "location": "Remote",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$30 - $150 / hourly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 92450,
        "title": "Developer Relations (Founding)",
        "url": "https://www.ycombinator.com/companies/nango/jobs/oiAdChY-developer-relations-founding",
        "location": "San Francisco, CA, US / Remote (US; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
        "equity_range": "0.05% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 116344,
        "title": "Forward Deployed Engineer (Founding)",
        "url": "https://www.ycombinator.com/companies/nango/jobs/7Aep8KZ-forward-deployed-engineer-founding",
        "location": "San Francisco, CA, US / Remote (US; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.05% - 0.15%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116345,
        "title": "Enterprise Account Executive (Founding)",
        "url": "https://www.ycombinator.com/companies/nango/jobs/JgJmIN7-enterprise-account-executive-founding",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "0.05% - 0.10%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116346,
        "title": "Growth & Marketing Lead (Founding)",
        "url": "https://www.ycombinator.com/companies/nango/jobs/sNXjkGq-growth-marketing-lead-founding",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.05% - 0.15%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 88416,
        "title": "Nango: Embed 600+ integrations from 400+ APIs in your SaaS",
        "tagline": " The most comprehensive product integrations platform.",
        "body": "\n![uploaded image](/media/?type=post&id=88416&key=user_uploads/4587/c5bd7650-0750-4fc1-92cc-14148ceb7cbe)\n\n([API catalog](https://www.nango.dev/api-integrations) / [Docs](https://docs.nango.dev/) / [Repo](https://github.com/NangoHQ/nango) / [Try it](https://app.nango.dev))\n\nTwo years ago, we launched Nango as an [open-source OAuth handler](https://news.ycombinator.com/item?id=34693233) that simplified authorization for 40 APIs. Since then, we’ve expanded to become a full product integration platform for developers. We now support 400+ APIs, 600+ pre-built integrations, and custom integrations-as-code.\n\nDemo video: <https://www.youtube.com/watch?v=oTpWlmnv7dM>\n\nEach API in our catalog comes with auth handling (OAuth, API keys, etc.), two-way syncing, retries, rate limit management, pagination, webhooks, observability, etc.\n\nWe also have pre-built integrations for common use cases like fetching HubSpot contacts, creating GitHub issues, syncing Salesforce data, and hundreds more.\n\nIf an API or integration you need isn’t supported yet, you can implement it yourself on Nango (or ask us to prioritize it).\n\nEverything related to API authorization is free forever, and you can either self-host or use our cloud version.\n\n([API catalog](https://www.nango.dev/api-integrations) / [Docs](https://docs.nango.dev/) / [Repo](https://github.com/NangoHQ/nango) / [Try it](https://app.nango.dev))",
        "url": "https://www.ycombinator.com/launches/N04-nango-embed-600-integrations-from-400-apis-in-your-saas",
        "votes": 10,
        "created_at": "2025-03-11T14:52:52.000Z"
      },
      {
        "id": 70266,
        "title": "🔌 Nango: Get OAuth tokens for APIs. Fast & secure.",
        "tagline": "Pre-built OAuth flows & secure token management for 55+ APIs (and counting)",
        "body": "![uploaded image](/media/?type=post&id=70266&key=user_uploads/4364/21c7fde9-a308-4c66-9cde-8eacfc4ce237)\n\n## TL;DR\n\nPre-built OAuth flows & secure token management for 55+ APIs (and counting). 100% open source.\n\n## The problem: OAuth sucks.\n\n[OAuth is harder than it seems](https://www.nango.dev/blog/why-is-oauth-still-hard):\n\n* Every API has specific quirks & nuances - forcing you to read endless docs pages\n* OAuth libraries don’t solve redirects, adding callback endpoints, token storage, refresh logic etc.\n* When something goes wrong debugging is hard: Unspecific errors, non-compliant behaviours, missing details and a million possible root causes\n\nOn top of this, SOC 2 compliance & GDPR make storing plain-text tokens in your DB no longer a viable option.\n\n## The solution: Nango makes OAuth fast & secure.\n\nNango is a service that contains everything you need to work with APIs that use OAuth:\n\n* A full OAuth dance for 55+ APIs - no backend work needed\n* A tiny frontend SDK, with promises instead of confusing full-page redirects\n* Secure token storage, with automatic refresh as needed\n* Works with any API, programming language & framework\n\nIn your frontend easily trigger an OAuth flow with 1 line of code (full desktop & mobile support):\n\n```jsx\nnango.auth('salesforce', '<user-id>'); // Opens a modal for OAuth dance\n```\n\nThen get always fresh access tokens in your backend:\n\n```jsx\nlet accessToken = nango.getToken('salesforce', '<user-id>'); // Refreshed & ready\n```\n\nThat’s it.\n\n## Trusted in production, by startups and established companies\n\nNango is used in production by companies like Typeform, Crowd.dev, AppraisalInbox, Trigger.dev (YC W23), Blocktool (YC W23) and others.\n\n## Try it in 5 minutes\n\nNango is easy to try on your local machine (open source) or with our cloud option:\n\n* Try it on your local machine: <https://github.com/NangoHQ/nango>\n* Get started with [Nango Cloud](https://www.nango.dev)",
        "url": "https://www.ycombinator.com/launches/IHK-nango-get-oauth-tokens-for-apis-fast-secure",
        "votes": 56,
        "created_at": "2023-03-14T15:02:02.167Z"
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    "id": 27734,
    "name": "Rubber Ducky Labs",
    "slug": "rubber-ducky-labs",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/80d1f55be06d00fd52db1ea9553e87aa6f8ac9d1.png",
    "website": "https://www.rubberduckylabs.io/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "We built Rubber Ducky Labs to help e-commerce teams effortlessly improve product discovery through better metadata. Our tool enables non-technical users to leverage multi-modal AI on product catalogs—just upload a CSV and start tagging metadata in minutes.",
    "one_liner": "AI Powered Product Discovery",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1671139016,
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      "Recommendation System"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
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    "regions": [
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      "America / Canada",
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    "url": "https://www.ycombinator.com/companies/rubber-ducky-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/rubber-ducky-labs.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rubber-ducky-labs",
    "x_url": "https://twitter.com/RubberDuckyLabs",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/rubber-ducky-labs",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/80d1f55be06d00fd52db1ea9553e87aa6f8ac9d1.png",
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    "founders": [
      {
        "user_id": 1164034,
        "full_name": "Alexandra Kissel",
        "title": "Founder",
        "founder_bio": "Alexandra (née Johnson) has spent eight years in the ML tooling industry (starting with a 4-year stint as the first software engineer at @SigOpt) to help make the state of the art in machine learning effortless and easy to use. Before that, she worked on recommender systems in fashion tech. She founded Rubber Ducky Labs to be the suite of dream tools that she wished she had while working on recommender systems.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/alexandraj777/",
        "x_url": "https://twitter.com/alexandraj777",
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      },
      {
        "user_id": 1298927,
        "full_name": "Georgia Hong",
        "title": "Founder",
        "founder_bio": "Georgia got her degree in software engineering from the University of Waterloo, during which time she completed six internships including Datadog, Cockroach Labs, Instagram and SigOpt. After graduation, she worked on Security and ML Infra at Meta.",
        "is_active": false,
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      {
        "title": "The quest for better AI recommendation engines | TechCrunch",
        "url": "https://techcrunch.com/2023/06/27/rubber-ducky-labs-keeps-ai-engines-afloat/",
        "date": "Jun 27, 2023"
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      {
        "id": 69112,
        "title": "Rubber Ducky Labs: Stop recommending ski jackets in June",
        "tagline": "Rubber Ducky Labs builds better recommender systems with machine learning plus human expertise",
        "body": "![uploaded image](/media/?type=post&id=69112&key=user_uploads/1164034/d71009b4-6b77-430f-a071-18fbccf522c5)\n\n**TL / DR;** Rubber Ducky Labs helps e-commerce companies avoid tone-deaf product recommendations — like featuring ski jackets in June. It works by combining machine learning with human expertise to produce the best product recommendations.\n\n![uploaded image](/media/?type=post&id=69112&key=user_uploads/1164034/3234f8dd-48e2-4edc-8525-f63699ee47e9)\n\n# Introduction\n\nCo-founders Alexandra and Georgia have over a decade of experience shipping products in fashion tech, B2B ML tooling, and high-scale data infrastructure, and are passionate about making the state of the art in machine learning effortless and easy to understand.\n\nAlexandra’s career started with her dream job working on clothing recommender systems for fashion tech companies, and she and Georgia founded Rubber Ducky Labs to be the suite of dream tools that they wished were available for building recommender systems.\n\n# The Problem\n\nYou’re a PM at a fashion tech startup. Your app is recommending that you buy ski jackets. It’s June.\n\nLooks like nobody told the algorithm that summer isn’t ski jacket season, and now it’s your job to figure out whether or not your algorithm will start driving away users. If your team’s metrics dashboards can’t answer the question, you’ll need to file a ticket for the data science team to run some analysis. Looks like it’s going to be at least a week before you have an answer.\n\n# The Solution\n\nWith Rubber Ducky Labs you’ll have an answer within minutes. Now, you’ll be able to understand whether you looked at a lot of ski jackets recently, so it’s just happening to you, or if your colleague recently flipped a switch to promote a brand that happens to carry a lot of ski jackets.\n\n![uploaded image](/media/?type=post&id=69112&key=user_uploads/1164034/918010a5-c9d2-49f6-b1a0-44086fb79f57)\n\nOur solution was developed from over a hundred conversations to answer the question of “what’s going on with my recommender system?” With Rubber Ducky Labs you can:\n\n* Explore your data visually - with product images\n* Drill down from aggregate metrics all of the way to individual item or user journeys\n* Consolidate and debug your company’s business logic\n* View annual and seasonal trends\n* Facet, segment, and filter and your data\n* View side-by-side comparisons of models or ranking changes\n\n# The Vision\n\nThe mission of Rubber Ducky Labs is to allow people with domain expertise — like product managers, merchandisers, marketers, growth hackers, and founders — to easily build intuition about and incorporate domain knowledge into their recommender systems.\n\nToday’s launch is just the first step. We want to help you do everything from consolidating business logic to previewing side by side model comparison to launching production experiments, all within RDL’s tools.\n\nIf this sounds like something you’re interested in, we’d love to build together.\n\n# Technical Details\n\nSetup took 90 minutes of time with our first user. Under the hood, Rubber Ducky Labs is a fully hosted web app that connects directly to your data warehouse on the backend to pull your custom metrics and data. No need to deploy any services or change any code, plus you get to bring your own model! Additionally, the web and API are authenticated with Auth0 to keep your data safe.\n\n# Our Ask\n\nWe’d love to learn more about your recommender system, and start identifying areas for improvement. Interested? Email [alexandra@rubberduckylabs.io](mailto:alexandra@rubberduckylabs.io) to get started.\n\nHave a friend who works with recommender systems? We’d love to meet them! Email us at [founders@rubberduckylabs.io](mailto:founders@rubberduckylabs.io).",
        "url": "https://www.ycombinator.com/launches/Hyi-rubber-ducky-labs-stop-recommending-ski-jackets-in-june",
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        "created_at": "2023-02-08T00:47:04.990Z"
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        "full_name": "Matt DuVall",
        "title": "Founder",
        "founder_bio": "Long-time product engineer, launched Stripe Checkout and Stripe Radar (2014-19), led teams on performance and product at Notion (2020-2022).",
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        "full_name": "Sam Ross",
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        "founder_bio": "Founded an e-commerce studio that generated over $100M in revenue. Previously growth & product @ Airbnb and Teespring.",
        "is_active": true,
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        "title": "Numeral raises $35M to automate sales tax with AI | TechCrunch",
        "url": "https://techcrunch.com/2025/09/18/numeral-raises-35m-to-automate-sales-tax-with-ai/",
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        "url": "https://www.youtube.com/watch?v=5jHWBQqiylo",
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        "title": "Double 🔍 Background research on sales prospects by searching the web with LLMs",
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        "body": "# **TL;DR**\n\nIf you’re looking to answer questions about your sales prospects using information that’s on the web (news articles, LinkedIn profiles, company websites, financial filings, press releases), Double can look it up for you and use it to answer your questions in bulk.\n\n<https://www.youtube.com/watch?v=NeEMBCSZnYc>\n\n# **Researching and qualifying your sales prospects takes forever**\n\n* The information you need to qualify your leads lives in news articles, job posts, LinkedIn profiles, company websites, OpenCorporate, Crunchbase and other aggregators\n* Most of this can be manually Google’d, but doing so, plus reading it and formatting it the way you want it, takes time\n\n# **Background research your sales prospects by searching the web with LLMs**\n\n* Double searches the web using LLMs to compile verifiable answers. Every answer includes citations to reputable sources\n\n# **Companies use Double to answer hyper-focused qualifying questions**\n\n* Let’s say you’re selling tools for remote work, and you’re targeting remote-first companies.\n* Crunchbase/Linkedin/etc don’t have filters for “Remote-First?”, so you either:\n  * Broadly target companies and hope they do _some_ remote work – leads to poor conversion 🤞\n  * Or, google each company one by one and look at their job openings – tedious 😔\n* Instead, Double can search the web with language models and compile a verifiable answer with **citations**! 🔥\n\n# **Repeat Founders from Waterloo**\n\nBefore Double, we:\n\n* studied engineering at Waterloo\n* worked on autonomous vehicles at Waymo and Tesla, and\n* built Ninja, Canada’s first 10-minute delivery service. Ninja raised $2M and offered deliveries in 2 cities with a team of 80+ couriers before it was acquired in 2022.\n\n# **Let us automate your manual prospecting processes!**\n\n* Got a question you want answered about your prospects, or looking to save time in your prospecting process? Book a product tour with us!\n* Tell us about the most manual, time-consuming part of your sales process",
        "url": "https://www.ycombinator.com/launches/JIw-double-background-research-on-sales-prospects-by-searching-the-web-with-llms",
        "votes": 12,
        "created_at": "2023-08-18T05:51:59.351Z"
      },
      {
        "id": 70385,
        "title": "Double — Internet-capable GPT bots to automate repetitive work",
        "tagline": "Double is an assistant that can use Google to do research like: Which of these people are executives that work in finance, according to their linkedin profile?",
        "body": "# **TL;DR**\n\n# If you have a task that involves _search google_ → _read links_ → _answer question,_ Double can automate it for you.\n\n![uploaded image](/media/?type=post&id=70385&key=user_uploads/1247275/8551fc0f-01d6-44ec-b9db-9ef2a5516e50)\n\n# **What can you do with Double**\n\n* Given a list of chiropractor websites, find how many chiropractors work there. Don’t count admin staff\n* Given a list of business names, find their websites, addresses, and phone numbers\n* Given a list of Etsy stores, find the main category of the products they sell\n* Given a list of websites of recently funded startups, is this a business that does outbound B2B sales? (that would be interested in our b2b sales prospecting product?)\n\n# **Roadmap**\n\n* Our bots are essentially read-only on the web today, but we’re working on abilities to navigate the web and click buttons to do things like login and submit forms (helpful for things that don’t have an API!)\n* Parsing PDFs as an input\n* Calling REST APIs. On top of Google Search, Web Scraping, and GPT, we’ll be adding a plugin to make REST API calls, which will unlock every API and the ability to chain arbitrary code execution by calling your code on [repl.it](http://repl.it)\n\n# **Team**\n\nBefore Double, we :\n\n* Studied engineering at Waterloo\n* Worked on autonomous vehicles at Waymo and Tesla, and\n* Built Ninja, Canada’s first 10-minute delivery service. Ninja raised $2M and offered deliveries in 2 cities with a team of 80+ couriers before it was acquired in 2022\n\n# **Ask:**\n\n* Got a process you want to automate? [Try Double for free today](https://www.usedouble.com/), or reach out to us if you need a hand setting up\n* Share our [Twitter launch thread](https://twitter.com/geepytee/status/1636066726973702149?s=20) and our website on your Twitter, LinkedIn, Tiktok, or other social media! It really helps!",
        "url": "https://www.ycombinator.com/launches/IJF-double-internet-capable-gpt-bots-to-automate-repetitive-work",
        "votes": 39,
        "created_at": "2023-03-17T20:06:09.828Z"
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    "id": 27774,
    "name": "Versive",
    "slug": "versive",
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    "website": "https://www.getversive.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Versive is an all-in-one research platform that helps teams make faster customer-informed decisions.\r\n- Collect richer insights: AI-moderated studies that deliver interview-quality results at the survey speeds\r\n- Accelerate your analysis: AI-assisted analysis that instantly turns transcripts into shareable insights\r\n",
    "one_liner": "AI-first user research platform",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677539488,
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/versivehq",
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      "name": "Aaron Epstein",
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        "user_id": 239074,
        "full_name": "David Correa Orozco",
        "title": "Founder",
        "founder_bio": "David is the CEO of Versive. He started his career as a PM at Microsoft working on the Windows Build System. He then became one of the founding engineers at Bread (NYSE: BFH) where he developed multiple fin-tech products. Most recently, he spent the last 3 years working on Serverless Networking systems at Google Cloud. He is now focusing on building an AI-survey platform that enables teams to gather better user insights, faster.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/correa-david/",
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        "user_id": 322456,
        "full_name": "Eric Li",
        "title": "Founder",
        "founder_bio": "Eric is the co-founder of Versive. Previously, he led product and design at Vareto, designed marketplace products at Uber Eats, and was the first designer at Bread (NYSE: BFH). In a past life, he studied Economics at UChicago and was an investment banker at J.P. Morgan. ",
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      {
        "id": 83020,
        "title": "Versive - AI-powered synthesis for user interviews",
        "tagline": "Instantly turn user interviews into shareable reports and actionable insights.",
        "body": "We’re [Eric](https://www.linkedin.com/in/erictli/) and [David](https://www.linkedin.com/in/correa-david/), the founders of [Versive](https://www.getversive.com/).\n\n**tl;dr:** Versive now helps you turn user interviews and customer calls into ready-to-share reports. Upload your recordings to get shareable research reports with key quotes and actionable takeaways. Plus, use AI chat to dive deeper and get answers to specific questions.\n\n# **Problem**\n\nTalking to users helps companies make better decisions, but the process of conducting and analyzing user research is slow and manual.\n\nImagine you’re a researcher who just interviewed 10 users. To share your findings, you need to watch each recording, summarize the conversations, extract key themes and quotes, consolidate your notes into a single report, and then package everything into a polished document. It’ll take at least a week before you can share actionable insights with your team, and you’ll have spent hours that could have been used to drive actions or launch new studies.\n\n# **Solution**\n\n![uploaded image](/media/?type=post&id=83020&key=user_uploads/322456/bf2ff14a-662f-4762-be93-3ec32360a76b)\n\nVersive’s mission is to help companies make faster, customer-informed decisions by making it easier to conduct high-quality user research. Our [AI-moderated interviews](https://www.ycombinator.com/launches/K81-versive-ai-powered-surveys-that-collect-interview-quality-insights) have already helped leading brands gather in-depth feedback from thousands of users. However, we believe that human-moderated interviews are still key for capturing nuanced feedback and building customer empathy.\n\nThat’s why we’re launching a new product that enables research teams to instantly synthesize interview recordings into shareable reports and summaries.\n\n![uploaded image](/media/?type=post&id=83020&key=user_uploads/322456/4bd673aa-28a0-439e-a631-23f32c25dc7f)\n\n# **How it works**\n\n1. **Customize your reports:** Tailor the structure of your reports to fit the needs of your study, no coding or prompting expertise required.\n2. **Upload interviews:** Import audio/video recordings or VTT transcripts.\n3. **Get instant summaries:** You’ll get consistent, shareable summaries for each interview, complete with quotes and actionable takeaways.\n4. **Get an aggregate report:** We’ll also generate a report for your entire study, with citations that link back to your transcripts.\n5. **Chat with your results:** Have more questions? Chat with your study data and get immediate, citation-backed answers.\n\n![uploaded image](/media/?type=post&id=83020&key=user_uploads/322456/d8ce7917-30ea-4966-85d6-a746146e5410)\n\n## **Get in touch**\n\nWe’re already working with leading research, design, product, and customer experience teams to accelerate their user research. If you’d like to learn more:\n\n* [Request a demo on our website](https://www.getversive.com/) or reach out to us directly at [hi@getversive.com](mailto:hi@getversive.com).\n* [Follow us on LinkedIn](https://www.linkedin.com/company/versivehq/) for product and company updates.",
        "url": "https://www.ycombinator.com/launches/Lb2-versive-ai-powered-synthesis-for-user-interviews",
        "votes": 29,
        "created_at": "2024-08-14T01:39:13.325Z"
      },
      {
        "id": 77377,
        "title": "Versive - AI-powered surveys that collect interview-quality insights",
        "tagline": "We make it easy to gather high-quality user insights and customer feedback",
        "body": "**tl;dr:** _Versive makes gathering user insights and customer feedback easier. Our AI-powered surveys ask intelligent follow-up questions to give you interview-quality insights in a fraction of the time._\n\nHi everyone, we’re David and Eric, the founders of Versive.\n\n## **The problem**\n\nMost companies don't speak to their users enough, especially as they scale. As a result, it's difficult to make informed product and marketing decisions.\n\nIn Eric’s past life as a product manager and designer, he conducted dozens of user studies at startups and public companies. Each time, it took weeks of scheduling, interviewing, and synthesizing to get from questions to answers. As a result, his teams collected feedback and validated ideas far less than they would have liked.\n\nExisting tools don't solve this problem well. Interviews and focus groups are time-consuming and expensive to set up. Surveys only yield surface-level insights and are cumbersome to build. Even at companies with dedicated research teams, few requests get approved, leaving most PMs, designers, and marketers on their own.\n\n## **The solution**\n\n![uploaded image](/media/?type=post&id=77377&key=user_uploads/322456/1c77cc3e-958b-4f93-9803-ec92b67eadfe)\n\nVersive enables teams to collect interview-level insights at the scale and speed of a survey. We support voice interviews, dozens of languages, concept and design testing, structured questions, branding customization, and more.\n\n1. Build your survey in Versive, or ask our AI assistant to generate one in seconds.\n2. Our AI moderator administers your survey and asks intelligent follow-up questions to dig deeper into user responses.\n3. We'll auto-generate summaries and insights, plus give you transcripts for each response.\n\n![uploaded image](/media/?type=post&id=77377&key=user_uploads/322456/96a56e72-eb80-41d8-a926-8474268d77ce)\n\n## **Who is this for?**\n\nWhether you’re creating B2B software or selling consumer products, we can help.\n\n* **Product and design teams:** you'll validate designs, roadmaps, and requirements in hours instead of weeks.\n* **Marketing and customer teams:** you'll conduct market research and collect customer feedback more efficiently and with higher quality.\n* **Research teams:** you'll be able to offload simple requests so you can focus on high-value studies.\n\n## **Our team**\n\nWe're David Correa and Eric Li. We met as early employees of Bread (NYSE: BFH) and became fast friends. Eric is a designer and product manager who's experienced these problems firsthand at Uber and several startups. David is a software engineer who's worked at Google and Microsoft.\n\n## **Our asks**\n\n* If you’re interested in trying us out, sign up at [getversive.com](https://www.getversive.com/) or email us at [founders@getversive.com](mailto:founders@getversive.com) for a demo.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/versivehq) or [Twitter](https://twitter.com/getversive) for product updates.",
        "url": "https://www.ycombinator.com/launches/K81-versive-ai-powered-surveys-that-collect-interview-quality-insights",
        "votes": 106,
        "created_at": "2024-01-09T22:16:01.952Z"
      },
      {
        "id": 69820,
        "title": "🪄 Mirio - Spin up personalized demos for your API product in minutes",
        "tagline": "Mirio is the easiest way to create personalized demos for your API product",
        "body": "**tl;dr: Mirio enables sales teams at API companies to spin up and personalize demo apps in minutes. Stop demoing docs and show every customer a personalized use case.**\\\n[**👉 Book a demo**](https://trymirio.com)\n\nHi everyone, we’re [David Correa](https://www.linkedin.com/in/correa-david/) and [Eric Li](https://www.linkedin.com/in/erictli/), the founders of Mirio.\n\nMirio is a demo platform for sales teams at API companies. Instead of bugging engineers to build custom demos or screen-sharing documentation, sales teams can use our no code-platform to clone, deploy, and personalize demo apps in minutes.\n\n### **For sales teams selling API products**\n\nWe spoke to account executives and SDRs at API companies and heard the same problems:\n\n* Developers are okay with documentation but decision-makers want to visualize the impact on their business and product.\n* Sales tries to convince engineers and designers to create custom demos but are usually told no (When David and I were asked to help create demos, we hated it too)\n* As a result, they only personalize demos for top prospects and end up demoing the same documentation and code for most customers, which often doesn’t land.\n\n### **Create personalized demos in minutes with Mirio**\n\n![uploaded image](/media/?type=post&id=69820&key=user_uploads/322456/74b71732-cae7-4f78-a69e-c02341ab8cb3)\n\nMirio empowers sales teams to spin-up and personalize real apps (connected to your API) so they can convey the magic of your product to every customer.\n\n1. Connect your demo apps to Mirio, we’ll help you set them up so they can be customized.\n2. From your Mirio dashboard, account executives and SDRs can clone and deploy demo apps in one click. They can then personalize branding, content, and more using our no-code editor.\n3. Use your personalized demos in live meetings, SDR outreach, website embeds, leave-behinds, and more. Track demo engagement from your dashboard.\n4. Wow more customers and close more deals! **🚀**\n\n### **Why us?**\n\nDavid and Eric met at as early employees of Bread Financial (NYSE: BFH) where the sales team bugged us every week to help create custom demos for Bread’s developer-facing product. This was time-consuming and painful but we saw the impact that personalized, interactive demos had on closing deals.\n\nOutside of Bread, we’ve also built software, designed products, and led teams at companies like Google, Microsoft, Uber, and Vareto.\n\n### **We’d love to chat**\n\n* If you’re selling an API product and want to personalize demos with the least amount of effort, book a demo at [trymirio.com](http://trymirio.com) or email us at [founders@trymirio.com](mailto:founders@trymirio.com).\n* If you’re not, we’d love intros to anyone who is.\n\nFor us, demos are the first step in helping to improve sales and onboarding for API products. If you have related challenges or a unique use case you’re not sure we can solve, reach out ([founders@trymirio.com](mailto:founders@trymirio.com)). We’d love to chat and see if we can build a solution around your problem.",
        "url": "https://www.ycombinator.com/launches/IA8-mirio-spin-up-personalized-demos-for-your-api-product-in-minutes",
        "votes": 77,
        "created_at": "2023-03-01T18:01:30.590Z"
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    "id": 27807,
    "name": "ZeroDev",
    "slug": "zerodev",
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    "website": "https://zerodev.app/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Update: ZeroDev has been acquired by Offchain Labs.\r\n\r\n-----------------------------------------------\r\n\r\nUse ZeroDev to create self-custody wallets for your users, powered by account abstraction.  These wallets are truly non-custodial, while being easier to use and way more powerful than even custodial wallets, enabling features such as:\r\n\r\n- Gas-free transactions\r\n- Transaction bundling\r\n- Programmable security policies\r\n\r\nZeroDev is perfect for anyone who wants to create wallets for users, including Web 2.5 apps, wallet apps, onramps, marketplaces, and more!",
    "one_liner": "Account abstraction wallets as a service",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1674412171,
    "tags": [
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    "tags_highlighted": [
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        "founder_bio": "Founder of ZeroDev (W23, acquired) and Eternal (W20).",
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    "name": "Salient",
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      {
        "user_id": 667998,
        "full_name": "Ari Malik",
        "title": "Founder",
        "founder_bio": "Tesla, Goldman Sachs, Columbia. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ari-malik-8aaa77229/",
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      {
        "user_id": 271755,
        "full_name": "Mukund Tibrewala",
        "title": "Founder",
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        "title": "Software Engineer, Product",
        "url": "https://www.ycombinator.com/companies/salient/jobs/I86oNbB-software-engineer-product",
        "location": "SF Headquarters",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.01% - 0.04%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "Head of People",
        "url": "https://www.ycombinator.com/companies/salient/jobs/P5cDLb4-head-of-people",
        "location": "SF Headquarters",
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        "type": "Full-time",
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        "id": 98854,
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Full Stack Engineer, Front-End",
        "url": "https://www.ycombinator.com/companies/salient/jobs/gNsu9fP-full-stack-engineer-front-end",
        "location": "SF Headquarters",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
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        "experience": "Any (new grads ok)",
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        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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        "title": "AI Deployment Lead",
        "url": "https://www.ycombinator.com/companies/salient/jobs/uBIgKib-ai-deployment-lead",
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        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "EdgeBit was acquired by FOSSA in July 2025: https://fossa.com/blog/fossa-acquires-edgebit/\r\n\r\nEdgeBit enables engineering teams to ship security updates 10x faster with confidence by automating dependency update analysis. Our platform turns weeks of manual review into minutes, helping teams find and fix security vulnerabilities while maintaining a secure, up-to-date software supply chain without compromising productivity.",
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    "team_size": 5,
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    "nonprofit": false,
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        "full_name": "Rob Szumski",
        "title": "Founder",
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        "full_name": "Eugene Yakubovich",
        "title": "Founder",
        "founder_bio": "Eugene is a long time hacker who likes to work at the application / operating systems boundary. In the past, he designed the foundational layers for high-frequency trading, contributed to the container runtimes, and implemented graph algorithms for continent size road networks.\n\nLately he has been on a mission to secure workloads and in 2022 he teamed up with Rob and Russell to tackle the problem, starting with fixing the vulnerability fire hose.",
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      {
        "id": 69144,
        "title": "EdgeBit - Secure your software supply chain",
        "tagline": "Supply chain analysis that eliminates noise in vulnerability response",
        "body": "tl;dr: [EdgeBit](https://edgebit.io) automatically inventories software dependencies, ensures they are trusted, and monitors vulnerabilities – securing your software supply chain. For security teams, we help you meet new compliance requirements about the libraries and packages in your products. For engineers, we make vulnerability investigation/patching streamlined, so you can get back to writing code.\n\nHi everyone, we are Rob, Russell and Eugene, the team behind [EdgeBit](https://edgebit.io).\n\nWe’re on a mission to make software secure by default. EdgeBit deeply understands how your app is built, what makes it up and how it’s running. That knowledge builds up trust to make developers lives easier, and your entire server fleet more secure.\n\n![uploaded image](/media/?type=post&id=69144&key=user_uploads/230598/b3341e0d-c53a-49b4-a31a-c5d9a5fa6c8c)\n\nLeft - [Eugene](https://www.linkedin.com/in/eugene-yakubovich-4640604/) - Chief Architect and low level hacker. He worked on pathfinding algorithms at Lyft, container networking at CoreOS and performance optimization in his high frequency trading days.\n\nCenter - [Rob](https://www.linkedin.com/in/robszumski/) - CEO and product leader. He was a Director of Product at Red Hat working on the OpenShift/Kubernetes platform after their acquisition of CoreOS (YC S13).\n\nRight - [Russell](https://www.linkedin.com/in/russellhaering/) - CTO and master of backend systems. He ran security engineering at Okta after their acquisition of ScaleFT, the zero trust access management startup he cofounded.\n\n## The Problem: securing software still feels like throwing problems over a wall\n\nSecurity teams have important work to do – meeting a maze of compliance rules against a constantly moving target of dependencies, frameworks and deployment platforms. Automation is key, but security teams aren’t experts in each app, so “open a ticket for any vulnerability found” is a typical workflow. This is a firehose for app teams, and tickets don’t contain the context needed for a speedy investigation.\n\n![uploaded image](/media/?type=post&id=69144&key=user_uploads/230598/201aef87-ad12-4842-9b9d-f423f8ccd315)\n\nLooking beyond compliance, real attacks are happening via software dependencies. For a single library, it’s tricky to securely download, integrate, sign and verify it…and very hard for 100s of dependencies across multiple apps. An enterprise can use [40,000 open-source software packages](https://www.theregister.com/2023/02/05/supply_chain_security_efforts/) each bringing another 77 dependencies.\n\nAn end-to-end system across the build→scan→run→monitor is required to stop these attacks. Dependencies are fragmented across OS packages, standalone binaries and containers, but a single view across all is required to understand the full attack surface.\n\n## EdgeBit: Map your supply chain from build to production in real time\n\n![uploaded image](/media/?type=post&id=69144&key=user_uploads/230598/9872f16b-3980-4c64-bf6f-fe47a5f82262)\n\nEdgeBit builds up context and trust by observing your software from build until deployment to your server fleet. How does it work? Install EdgeBit into your build pipeline and your server fleet/Kubernetes cluster via a tiny agent to immediately enable teams to bring vulnerabilities under control:\n\n* Security: track workload signatures, provenance and prevent malicious modification\n* Compliance: build a real time inventory tracked back to the software’s bill of materials (SBOM)\n* Engineering: prioritize vulnerability investigation based on deep context\n* Enterprises: track patching across teams. The next log4j will come, and it’s a huge endeavor without real time inventory across all tech stacks and packaging formats.\n\n## Try out EdgeBit\n\nSecurity teams can [install EdgeBit](https://edgebit.io) to track their supply chain and even help compliance managers do their job without getting engineering involved. Remove frustration from your vulnerability response program by connecting your teams together and take control back from noisy scanners.\n\nSecuring supply chains is just a step in our journey. Using trust profiles between systems is key to a zero trust security posture. We’d love to chat with you about acute compliance needs or long term security goals of your organization.",
        "url": "https://www.ycombinator.com/launches/HzE-edgebit-secure-your-software-supply-chain",
        "votes": 23,
        "created_at": "2023-02-08T20:44:58.421Z"
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    "id": 27810,
    "name": "Cakework",
    "slug": "cakework",
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    "website": "https://www.cakework.com",
    "all_locations": "Seattle, WA, USA",
    "long_description": "We make it possible to build a serverless cloud platform that hosts custom user code with just APIs and no infrastructure team. For example, an open source framework can build a cloud offering that deploys their users code from Github or local dev environments in days instead of months. ",
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    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1673854005,
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    "status": "Inactive",
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        "full_name": "Eric Chen",
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        "full_name": "Jessie Young",
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        "id": 70142,
        "title": "Cakework - Custom user code in any developer product",
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        "body": "**tldr**\n\n_We make it easy to run custom user code using APIs instead of infrastructure. Build extensibility directly into your developer product, or launch your own serverless cloud solution._\n\nHi friends, we're Jessie and Eric from [Cakework](https://www.cakework.com). We're ex-AWS engineers that got tired of managing infra and wanted our tools to do it for us. We started Cakework to bake serverless into every developer product and never have to host our own code again.\n\n![uploaded image](/media/?type=post&id=70142&key=user_uploads/461027/608b19e2-7cf0-4402-8173-aa280ba89b58)\n\n[Jessie](https://www.linkedin.com/in/jyoung73/) - Senior Engineer that led development of AWS call center AI analytics and NLP services.\n\n[Eric](https://www.linkedin.com/in/ericchen90/) - Engineering Manager that led a team of engineers, scientists, and clinicians in building AWS services for healthcare.\n\n**Problem**\n\nModern developer experiences let users run custom code natively, so users can build extensions and applications without any devops. This can be anything from in-browser scripting to webhook handlers or web services that deploy from Github.\n\nBuilding a platform to do this is hard because cloud services like AWS are designed by default to run your code, not your users'. You need to package your users code, handling dependencies and multiple languages. You need to provide logging, metrics, and metering. Serverless options like Lambda help with security and cost, but have restrictions on timeout and prevent you from using protocols like gRPC.\n\nYou’re basically building your own Heroku.\n\nOne of our early customers had given up on building their own serverless cloud solution. With us, they were able to launch in a week.\n\n**How did we do it?**\n\nCakework is a set of simple APIs for building serverless directly into your developer product. You describe how you want to package and run your users' code, and use Cakework to build images from Github, CLI, or even a browser. You use our APIs to run that code securely, and show logs and metrics back to your users.\n\nHere's a gif of Cakework in action with a developer SaaS tool that wanted their users to be able to run custom code on webhooks in their system.\n\n![uploaded image](/media/?type=post&id=70142&key=user_uploads/461027/72dd917a-6381-4859-8341-6d278385f1d0)\n\nYou can build your own in-browser scripting with multiple languages!\n\n![uploaded image](/media/?type=post&id=70142&key=user_uploads/461027/7a15ec40-7de5-4641-8a73-87b612c1ba7c)\n\n**Asks**\n\nWe're onboarding customers in early access now. If you or someone you know is working on a developer product and want to run your user's code, reach out at [eric@cakework.com](mailto:eric@cakework.com)!",
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        "votes": 57,
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    "all_locations": "New York City, NY, USA",
    "long_description": "Tennr is solving the black hole problem in healthcare by leveraging models to digitize the flow of paperwork between healthcare providers.\r\n--\r\nToday, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.\r\n",
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    "team_size": 205,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1676577561,
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    "batch": "Winter 2023",
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        "title": "Deploy your product in your customer VPC  or Single-tenant SaaS or AirGapped",
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        "body": "Omnistrate helps software companies to build their own private-label control plane to deliver your product inside customer cloud accounts/VPCs/Kubernetes clusters, on-premises, air-gapped environments, single-tenant SaaS and through cloud marketplaces.\n\n**A simple way to think about it:** when an enterprise customer asks, “Can this run in our AWS account?”, or “Can we self-host this?”, or “Do you have a isolated SaaS with XYZ requirements”, “Can we buy this through our cloud marketplace?”, Omnistrate generated control plane enables you say **yes** without turning every customer into a custom engineering project.\n\n### **Why we built Omnistrate:**\n\nWe experienced firsthand how difficult it is to deploy and operate software across customer environments. Every enterprise deployment became a custom engineering project, slowing down sales, consuming engineering resources, and creating ongoing operational complexity.\n\nWe built Omnistrate to change that — enabling software companies to deploy, manage, and scale their products in any customer environment without building and maintaining their own control plane.\n\n### **Three common use cases**\n\n**1. Support BYOC, self-hosted, on-prem, and air-gapped customers**\n\nEnterprise customers increasingly want software to run inside infrastructure they control due to data sovereignty or leveraging their cloud commits.\n\nWith Omnistrate you can support:\n\n* **Customer cloud accounts:** Deploy the complete stack into your customer's AWS, GCP, Azure, or other cloud account — including networking, Kubernetes, compute, storage, and your application.\n* **Customer VPCs:** Run inside an existing customer network with private connectivity and customer-controlled security.\n* **Customer Kubernetes:** Deploy and operate your software on Kubernetes infrastructure the customer already manages.\n* **On-prem and air-gapped:** Support environments with limited or no connectivity to your SaaS control plane.\n\nYou can operate these deployments as a managed service or enable customers to self-serve through your private-label portal. To learn more, see this blog: <https://omnistrate.com/blog/why-byoc-is-the-future-of-enterprise-software-deployment>\n\n**2. Build and distribute your Single-tenant SaaS  (or Hosted SaaS)**\n\nUse the same control plane to run your single-tenant SaaS across clouds, regions, tenancy models, and infrastructure configurations.\n\nStart with hosted SaaS to support simple dedicated deployments, add dedicated K8s, dedicated network, dedicated account, or multi-tenant your customers over the shared infrastructure.\n\nThis is particularly useful when your first few customers have very different requirements but you don't want to maintain separate platforms for every deployment configuration. Also - allows you to enable free trial cost-effectively or figure out the right distribution model as you unlock your GTM. To learn more, please see this blog: <https://omnistrate.com/blog/why-enterprise-saas-is-moving-toward-isolated-tenancy-models>\n\n**3. Sell through AWS, Azure, and Google Cloud Marketplaces**\n\nLaunch and transact through the major cloud marketplaces without building separate fulfillment and billing integrations for each provider.\n\nOmnistrate helps with the end-to-end motion including marketplace enablement, fulfillment, subscriptions, metering, billing, and integration with your product. We also work with you on the listing (we partner with Suger, another YC company) and cloud co-sell motion.\n\nTo learn more, please see this blog: <https://omnistrate.com/blog/the-hidden-fulfillment-problem-killing-your-cloud-marketplace>\n\n### **What Omnistrate handles**\n\nYour generated control plane can automate:\n\n* Infrastructure provisioning and configuration\n* Application deployment, scaling, and upgrades\n* Customer self-service deployments\n* Tenant and subscription management\n* Observability and health monitoring\n* Backups, recovery, drift detection, and Day-2 operations\n* Security, governance, RBAC, and auditability\n* Metering, billing, licensing, and entitlements\n* Cloud Marketplace fulfillment\n* Fleet-wide operations across customer environments\n* and more: [**https://docs.omnistrate.com/**](https://docs.omnistrate.com/)\n\n### **How does it work?**\n\nBring what you already have — container images, Docker Compose, Helm charts, Kustomize manifests, Kubernetes Operators, Terraform/IaC, or your existing deployment artifacts.\n\nDefine how your product should be deployed and operated in Claude (or your favorite codex), and we will translate that into a declarative spec and then use that to generate your **private-label control plane running in your account**.\n\nThat control plane manages the infrastructure and application lifecycle across your different customer environments.\n\nFor customer-hosted deployments, your customer's workloads and data stay in their environment. Your customers interact with your product and brand — not Omnistrate.\n\nAlready have a control plane or customer portal? You don't have to replace it. Omnistrate can extend what you already built to support additional clouds, BYOC, Kubernetes, on-prem, air-gapped environments, and operational capabilities.\n\n### **Our ASK:**\n\nIf you are looking to build one or would like to discuss more on the topic, we would love to chat more. Here is our calendly: <https://calendly.com/omnistrate>\n\nIf you would like to interested to learn more about Agent deployments, check out: <https://agentic-saas-talks.com/>",
        "url": "https://www.ycombinator.com/launches/VpF-deploy-your-product-in-your-customer-vpc-or-single-tenant-saas-or-airgapped",
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        "id": 91525,
        "title": "Omnistrate: CoPilot for Platform teams to go from app to product in days, not years",
        "tagline": "Build software distribution aka Control Plane",
        "body": "Going from (Agentic) App to Product, organizations have to build multiple distribution engines. The Control Plane is nothing but an **operating system for those distribution models**.\n\nOmnistrate is a developer platform to build software distribution aka Control Plane — the \"operating system\" that powers deployment models like On-Prem / AirGapped, BYOC, PaaS, SaaS, AaaS distributions.\n\nWe achieve this by building and running your Control Plane in your account, so that you don't have to spend years to build and army to operate on undifferentiated things.\n\n![uploaded image](/media/?type=post&id=91525&key=user_uploads/1159729/a13a9237-8faa-4f5d-b232-b8fecb82ce62)\n\n### **What will your Control Plane do?**\n\n* OnPrem Installs: Packaging, versioning, deployment templatization, seamless upgrade paths, collecting basic troubleshooting data (logs/metrics), and enforcing licensing to prevent unauthorized use. Its effectively similar to building your terraform scripts for infrastructure, L5 K8s operator on top, writing the deployment script to stitch everything together.\n* BYOC CoPilot: If you want to extend OnPrem model by automating deployments within the customer’s cloud account — across any cloud or region. You have to automate deployments, build the ability to deploy in customers’ account, support Offline mode for security conscious customers\n* PaaS: If you want to extend OnPrem and BYOC to offer self-serve deployments (aka PLG motion) including tenant management, usage-based billing and, automated operations at massive scale — reliably, securely, and cost-effectively\n* SaaS: for companies looking to provide seamless experience by just giving an endpoint that just works. The endpoint is smart enough to handle a broad range of use cases and automatically adjust based on usage to optimize for the cost, scale, performance without compromising on the security or reliability\n* AaaS: If you are looking to build next-gen experience where each customer gets a **personalized experience** based on their organization, workloads, and data or distribute your agents\n\nTo learn more more about different distribution models, see this blog: https://blog.omnistrate.com/posts/152\n\nTo learn more on how we are different than CI/CD, IaC, or PaaS systems: https://omnistrate.com/control-plane-demystified\n\n### **Why we built Omnistrate:**\n\nGiven the complexities of Control Plane, most DIY control planes become fragile, siloed, and a blocker to innovation. Hence, we have built Omnistrate to build your control plane running in your account, so that you don't have to spend years to build and army to operate on undifferentiated things.\n\n### **How does it work:**\n\n![uploaded image](/media/?type=post&id=91525&key=user_uploads/1159729/b3f750a5-13d3-4db1-bded-a6dcc79a186f)\n\nWe take your container images and your cloud account id to run your control plane. From there you can provide the control plane specification using docker compose (we have added extensions) or use our native DSL (domain specific language) to describe your control plane.\n\nWhat if you already started? - No problem. You can start at any point in the journey very easily. We integrate with your existing control plane stack irrespective of your current state. You can keep control of the pieces you like, leave the rest on us and have the peace of freedom to expand into new areas with ease at one-tenth the cost. Examples:\n\n* We can import your Terraform (used for infrastructure management)\n* We can import your Helm, Kustomize, Operator (used for packaging, templatization,\n* We can take your existing automation for deployments to extend you across clouds or regions, build beautiful SaaS and AaaS experiences.\n* and much more..\n\nTo learn more, see our technical blogs:\n\n* https://blog.omnistrate.com/posts/151\n* https://blog.omnistrate.com/posts/150\n* https://blog.omnistrate.com/posts/149\n\nQuick Product Intro videos:\n\n* BYOC CoPilot: https://youtu.be/3D08uFN6ugc\n* PaaS: https://youtu.be/4vDdVf9x_nU, [https://youtu.be/\\_S0UXJh516M](https://youtu.be/_S0UXJh516M%EF%BF%BC-), https://youtu.be/8gUrqrMcjdM\n* For OnPrem, SaaS and AaaS demo, reach out to &lt;[support@omnistrate.com](mailto:support@omnistrate.com)&gt;\n\n### **Use-cases:**\n\n* Build OnPrem Installer, BYOC, PaaS, SaaS or AaaS Products as mentioned above.\n* BYOC CoPilot for your support teams to streamline deployments to accelerate customer onboarding, manage upgrades/versioning to keep track of your customers in an automated way, streamline operations to reduce MTTR and bring consistency in handling the issues. We also support offline mode for security conscious customers to only connect during operational time otherwise they can stay completely disconnected\n* Multi-cloud & BYOC expansion for teams with existing control planes to extend it across clouds — deploy globally and support any deployment model, including BYOC, to run seamlessly in your customers’ accounts\n* Open-source Project to Open-core: Monetize your open-source project without compromising your community-driven values by offering value-added services like streamlined deployments across any cloud/region in your own account or deploy in customers’ accounts, automated operations, seamless infrastructure management\n* Internal PaaS to save cost by using your cloud credits, streamlining deployments and operations, infra management\n\n### **Our ASK:**\n\nIf you are looking to build one or have any questions or would like to discuss more on the topic, we would love to chat more. Here is our calendly: https://calendly.com/omnistrate\n\nIf you would like to stay connected, follow us here: https://www.linkedin.com/company/omnistrate/ or join our community group: http://saasmondays.com/",
        "url": "https://www.ycombinator.com/launches/NoD-omnistrate-copilot-for-platform-teams-to-go-from-app-to-product-in-days-not-years",
        "votes": 17,
        "created_at": "2025-06-22T18:13:13.639Z"
      },
      {
        "id": 70134,
        "title": "Omnistrate - Cloud platform to SaaSify your open-source project 🚀",
        "tagline": "From your docker image to your multi-cloud SaaS in 1 minute",
        "body": "![uploaded image](/media/?type=post&id=70134&key=user_uploads/1159729/250b8d8a-7e84-40d5-80c6-deb4f4645c83)\n\n### **✨ TL;DR**\n\nOmnistrate is a control-plane as-a-service that **transforms your docker image into a multi-cloud SaaS service**. Let’s say you have an open-source software (e.g. MongoDB), and you want to monetize your invention by building a multi-cloud SaaS solution (e.g. MongoDB Atlas), you can either spend years doing it yourself, or use Omnistrate to do it in no time.\n\nHello everyone - it’s Kamal and Alok here introducing [Omnistrate](https://www.omnistrate.com)!\n\n### **🤯 Problem**\n\n* Going from Software to SaaS can **take months or even years**. Moreover, it can take several attempts for enterprises to find their product-market fit making it **extremely costly** to experiment.\n* Cloud is **complicated** with so many different services, cloud providers, and a rapidly evolving landscape.\n* Building a SaaS service from scratch to do undifferentiated heavy-lifting **distracts** enterprise from the core innovation and adds significant **risk** to their business.\n\n### **💡 Solution**\n\n* Omnistrate makes it **simple, quick** and **cost-effective**, saving years of development time and resources. And we do this, for every cloud provider across the globe out of the box.\n* Omnistrate abstracts away all the cloud complexities and make it **super** **easy** to build cloud-native services.\n* In a fast moving world, enterprises need a platform that allows them to **successfully experiment**, without shifting their focus or taking a massive business risk.\n\n### **📜 Our Story**\n\nI was part of the AWS founding team, and built **more than half-a-dozen cloud services** over the years (2007-2020) across different domains. During my early days at AWS, I was one of the **original authors of AWS control plane** that was used to host open-source technologies by numerous AWS services.\n\nAlok and I met at AWS Aurora when I was running the database engineering for a **billion dollar SaaS business**, managing millions of databases. Alok was the original technical author of Aurora Serverless, which revolutionized the data systems space. He then went to Cisco to scale networking pipeline (packets-per-second) on AWS by 10-15x.\n\nWe reunited again at Confluent in 2020 where I ran the Kafka engineering at Confluent and grew their multi-cloud Kafka offering to **200MM+ ARR business managing over 100,000 containers**. Alok played a key role there in scaling Kafka Cloud throughput by 5x, and reducing Kafka Cloud latencies by 10x to really distinguish Confluent Kafka offering from other vendors.\n\nWith Omnistrate, we want to **share our learnings into a fully automated platform** by getting rid of the undifferentiated work and making it simple for anyone to build a SaaS service.\n\n### **⚒️ How it works**\n\n![uploaded image](/media/?type=post&id=70134&key=user_uploads/1159729/57ff5a13-a71a-4853-8370-f46493442817)\n\nYou start by simply bringing your docker image. Omnistrate, from then on, will seamlessly build your SaaS and runs it on auto-pilot. At every step of the process, you retain full control, the ability to innovate on your product and the ability to integrate with your favorite tools or services.\n\n### **🫶 Ask**\n\nIf you are **looking to SaaSify your open-source (or any other software)**, please sign-up [here](https://omnistrate.com/demo) and we will create an account for you to provide a white glove experience. We will then come on a quick call to get you up and running in a few minutes.\n\nIf you know someone who could benefit, please reach out to us at: [founders@omnistrate.com](mailto:founders@omnistrate.com)\n\nIf you are excited about the SaaS space, please join our [Slack](https://join.slack.com/t/cloudnative-u5h1399/shared_invite/zt-1qf3cgi37-lCV1vKJlrBioqGuVjKBtyw) community\n\n### **⭐️ Our YC deal:**\n\nPlease see this: <https://bookface.ycombinator.com/deals/1677>\n\nFor any questions on the deal, please reach out to us at [yc@omnistrate.com](https://mailto:yc@omnistrate.com)\n\nThank you! Omnistrate Team ✌️\n\nCEO, Kamal Gupta",
        "url": "https://www.ycombinator.com/launches/IFC-omnistrate-cloud-platform-to-saasify-your-open-source-project",
        "votes": 560,
        "created_at": "2023-03-10T14:58:53.557Z"
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    "id": 27814,
    "name": "Narrative",
    "slug": "narrative",
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    "website": "https://www.trynarrative.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Narrative is the easiest way to create end-to-end tests, replacing Playwright, Selenium, and Cypress with self-healing tests.\r\n\r\nRecord your user journeys to deploy tests in minutes, and let our agents handle flaky selectors and timing issues. When a test fails, you get a bug report in plain English that's easy to triage.\r\n\r\nTrusted by Nanonets, Commenda, Drumkit, Metal, and Vega.\r\n\r\nLearn more at www.trynarrative.com",
    "one_liner": "AI agents for end-to-end testing",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1678820348,
    "tags": [
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    "batch": "Winter 2023",
    "status": "Active",
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    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
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        "full_name": "Suchit Dubey",
        "title": "Founder",
        "founder_bio": "CEO@Narrative. Previously Uber Freight, Crew, Thumbtack, Palantir and Ridecell.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dubeysuchit/",
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        "title": "Founding engineer (Backend + AI)",
        "url": "https://www.ycombinator.com/companies/narrative/jobs/AUF5OZd-founding-engineer-backend-ai",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$36 - $60",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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    "id": 27815,
    "name": "OfOne",
    "slug": "ofone",
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    "website": "https://www.of.one",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "OfOne is building software to automate order taking at fast-food drive-thrus. Using conversational AI, we help restaurant chains operate more efficiently and level-up their customer experience.\r\n\r\nOfOne can answer questions, intelligently upsell - like suggesting ice cream on a hot day - and always says please and thank you.\r\n\r\nThere are 200,000 drive-thrus in the US and they are the industry's largest order channel.\r\n\r\nOur mission is to deliver human centric experiences that help restaurant operators prosper, deliver delight for their customers, and empower their workers.",
    "one_liner": "AI-powered order taker for restaurant drive-thrus",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1675101964,
    "tags": [
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      "Restaurant Tech"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/of-one/",
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        "user_id": 1162985,
        "full_name": "Will Edwards",
        "title": "Founder",
        "founder_bio": "Previously VP, Revenue @ Crew, a frontline employee communications app. I was the first business hire and helped scale Crew from 0 to 1M+ users and millions in ARR before being acquired by Square in 2021.\n\nBefore Crew, I worked on the Corporate Development team at Intuit where I focused on M&A and venture investments.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wedwards3/",
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      {
        "user_id": 11973,
        "full_name": "Adam Proschek",
        "title": "Founder",
        "founder_bio": "Previously led product and engineering @ Crew, a frontline-employee communications app. I helped scale Crew from 0 to 1M+ users and millions in ARR before being acquired by Square in 2021.\n\nBefore Crew, I was an iOS engineer at Hotel Tonight (acquired by Airbnb).",
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        "linkedin_url": "https://www.linkedin.com/in/aproschek/",
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    "news": [
      {
        "title": "Deepgram raises $130M at $1.3B valuation and buys a YC AI startup | TechCrunch",
        "url": "https://techcrunch.com/2026/01/13/deepgram-raises-130m-at-1-3b-valuation-and-buys-a-yc-ai-startup/",
        "date": "Jan 13, 2026"
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      {
        "id": 69517,
        "title": "🤖 🌮 OfOne - Automating order taking at fast food drive-thrus",
        "tagline": "We help fast food restaurants improve operating margins by automating order taking at the drive-thru.",
        "body": "**TL;DR:** OfOne is building software to automate order taking at fast-food drive-thrus. Using LLMs, we can save the typical restaurant owner $60,000 in labor costs per store annually.\n\nHi YC community - Adam Proschek (right) and Will Edwards (center) here - founders of [OfOne](https://www.of.one/). \n\n![uploaded image](/media/?type=post&id=69517&key=user_uploads/1162985/20300ff2-47c3-4229-83f1-f4987fe5ffd1)\n\n### **The Problem:**\n\nQuick-service restaurants are a $300B industry in the United States, comprising roughly 300,000 individual restaurant units. These businesses are low-margin with food & labor costs making up \\~70% of OPEX. In recent years, operators (many of whom are immigrants and small business owners) have been getting squeezed as inflation and wages rise and labor becomes more scarce.\n\n### **The Solution:**\n\nOfOne is helping fast food operators make more money by automating their largest ordering channel: the drive-thru.\n\nThere are 200,000 drive-thrus in the United States and in many cases they contribute 70%+ of order volume. They are also expensive, costing on average $14.00 per hour to staff and operating for 12 hours per day - representing $12B in aggregate labor costs.\n\nWe’re offsetting these labor costs by automating the end-to-end ordering process - from greeting customers to answering questions to processing orders through the point-of-sale. Plus, it works with existing drive-thru audio systems.\n\nAdditionally, OfOne can intelligently upsell - like suggesting ice cream on a hot day - and always says please and thank you, raising average order size and improving customer experience.\n\nWe currently have signed & deployed pilots at major national chain stores.\n\n![uploaded image](/media/?type=post&id=69517&key=user_uploads/1162985/7d2fbb4f-dcc7-456f-b7d4-d5dcd518392a)\n\n### **Why we’re building OfOne:**\n\nWe both know the quick-service industry well from building Crew (acq. by Square in 2021), which sold employee communication software to QSR brands, like Taco Bell.\n\nThrough this experience, we built valuable industry relationships and more importantly gained an in-depth understanding of how critical controlling labor costs is for restaurant success. Frankly, it can be the difference between a growing business and defaulting on interest payments for a personally guaranteed loan.\n\n### **Our Ask:**\n\nIf you have any connections with **franchisees**, **multi-unit restaurant operators**, or **leaders at corporate brands** (e.g., Taco Bell Corporate), we’d love to speak with them and share how we can help!\n\n_Here’s a quick blurb you can copy and paste_: A team of restaurant tech entrepreneurs recently launched an AI-powered order taker for quick-service restaurant drive-thrus. They are helping operators boost margins by reducing labor costs and increasing order sizes. You can contact [will@of.one](mailto:will@of.one) for more information.\n\nIf easier, I can also craft an easily forwardable email for you. Just reach out and let me know 😊.",
        "url": "https://www.ycombinator.com/launches/I5F-ofone-automating-order-taking-at-fast-food-drive-thrus",
        "votes": 32,
        "created_at": "2023-02-21T22:52:05.447Z"
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    "name": "OpenSight",
    "slug": "opensight",
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    "website": "https://www.opensight.ai",
    "all_locations": "San Francisco, CA, USA; Sunnyvale, CA, USA; Remote",
    "long_description": "OpenSight helps companies quickly scale up their support function and resolve customers' questions much faster. With the latest advancement in LLMs, OpenSight offers accurate answers and action resolution paths resolving >70% of inbound customer inquiries. ",
    "one_liner": "AI-powered customer support automation for fast-growing companies",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1673668209,
    "tags": [
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      "B2B",
      "Customer Success",
      "Customer Support"
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    "batch": "Winter 2023",
    "status": "Inactive",
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    "regions": [
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      "America / Canada",
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/opensightai/",
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        "full_name": "Ruoni Wang",
        "title": "Founder/CEO",
        "founder_bio": "Full-stack engineer with a strong product mind. Prior to OpenSight, Ruoni built several AI/ML applications at Meta AI and is a patent author in Natural Language Processing. Now engineering @ Anima (YC W21). \n",
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        "linkedin_url": "https://www.linkedin.com/in/ruoni-wang-090031121/",
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        "full_name": "Jeff Huang",
        "title": "Founder/CTO",
        "founder_bio": "Former CTO @ Lunaris Trading, Volatility Strategies and Arbitrage Team Lead @ Akuna Capital",
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        "linkedin_url": "https://www.linkedin.com/in/jhuang619/",
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        "full_name": "Victoria Wan",
        "title": "Founder/COO",
        "founder_bio": "In my previous life, I worked in strategic finance for startups and public companies before becoming the first marketing hire at Pry Financials YC W21 (Acquired by Brex). Currently living in TX with my husband and our 2 Shiba Inu’s and our son.",
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        "title": "OpenSight - Automate your customer support questions (and actions!)",
        "tagline": "AI-powered solution to automate even the hard and time-consuming customer questions and requests",
        "body": "Hi YC! Vickie, Jeff, and I (Ruoni) are excited to introduce [OpenSight](https://www.opensight.ai)!\n\n**_Tl;dr_**_: OpenSight is a customer support automation tool that resolves **>70% of your customers’ questions** by automating actions in addition to providing text-based responses._\n\n## **❌ The Problem**\n\nYou are a B2C SaaS, e-Commerce, Marketplace, FinTech company with tons of tickets growing every day, support is becoming really expensive and **your Intercom bot solves 30% of the tickets** after either you or your head of ops **spent hundreds of hours finding and creating examples to train the bot.** (A notable portion of which are customers who just rage quit and counted as contained)\n\n## **✨ Our Solution**\n\n### Automatic Answering Bot\n\n* Learn from your FAQ, past agent responses AND agent actions to **2-3x your current chatbot’s containment to 70 - 90%**\n* Give your customer **precise answers** to the question asked (**check out** [**this comparison**](https://www.loom.com/share/ef944404f6e74ce3a0ea756ecf57b78a) **of our answer bot vs. Stripe’s help center and doc, and try it yourself** [**here**](https://stripe-demo.opensight.ai))\n* **More than just a simple embeddings search fed into GPT** - our proprietary algorithm uses statistical modeling to adjust answer relevancy and filter out irrelevant or case-specific content to ensure vetted and up-to-date answers\n* Promptly perform the actions that your customers request when the right conditions are met\n\n### Agent Assist\n\n* Draft answers and allow agents to **perform lengthy yet repetitive actions** with **a single click**, saving up to **80% of handle time**\n* Surface the **relevant customer data** at the **right time** to give your agents confidence without cluttering their workspace with unnecessary details\n\n  ![uploaded image](/media/?type=post&id=69276&key=user_uploads/699631/93ad40ec-16f6-4bca-8ca7-581efe7ac9c3)\n\n\n## **⚙️ How it works**\n\n1. An initial call to understand your needs - We **support multiple languages** and **integrations** (Zendesk, Intercom, Front, and more)\n2. Signing a data-sharing agreement for us to analyze your support data and present you with an automatability report with real backtest results using our bot and a tailored solution set\n3. 3-month pilot where we will be your consultant **customizing integrations and features just for you** and making sure we deliver on the promise; **no engineering lift from your end**\n4. An official rollout with our solution set, which will then become completely self-served\n\n## **🙏 Our ask**\n\n* If your team is overwhelmed by the number of support tickets - with > min (100+ tickets/daily, 3 customer support agents), let us help you by scheduling a call with us [here](https://usemotion.com/meet/OpenSight/xvxpkhl?d=30)\n* If you believe someone you know might need our help, we’d love to be connected at [vickie@opensight.ai](mailto:vickie@opensight.ai).\n* If you like what we are building, share and upvote!\n\nThank you so much!",
        "url": "https://www.ycombinator.com/launches/I1M-opensight-automate-your-customer-support-questions-and-actions",
        "votes": 73,
        "created_at": "2023-02-14T16:51:24.428Z"
      }
    ]
  },
  {
    "id": 27818,
    "name": "Gluetrail",
    "slug": "gluetrail",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/655e9f2acbaad108c6e7539ecb81f7a1ce60e8cc.png",
    "website": "https://www.gluetrail.com",
    "all_locations": "Paris, Île-de-France, France; Remote",
    "long_description": "Gluetrail is a chrome extension that allows you to create support/training/marketing assets 10x faster, just from a screen and audio recording. These assets allow you to drive software or process adoption & awareness among prospects, customers or teammates.  \r\n\r\nFrom one single recording, Gluetrail leverages your screen+clicks+audio transcript, and AI, to:\r\n- automatically create step-by-step articles with screenshots and videos\r\n- adapt the content for & publish it on 3rd party platforms in 1 click: internal or external knowledge bases (Notion, Confluence, Intercom, Zendesk...), community platforms and social media (linkedin, youtube, twitter, discourse...) ",
    "one_liner": "Create step by step articles with screenshots and videos 10x faster",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1670419850,
    "tags": [
      "Productivity",
      "Sales Enablement",
      "Marketing",
      "Customer Support",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "France",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We have known each other for 5 years and met when we both worked at Algolia. Baptiste led the Internal Tools engineering team initially, then worked on Data Operations while Anne-Charlotte built and scaled the Revenue Operations team. As a result, we worked closely together on productivity, process optimization and analytics topics. We came up with the idea of Gluetrail as we experienced first hand the pain it intends to solve."
      }
    ],
    "url": "https://www.ycombinator.com/companies/gluetrail",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/gluetrail.json",
    "year_founded": 2022,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/gluetrail/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/655e9f2acbaad108c6e7539ecb81f7a1ce60e8cc.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1188344,
        "full_name": "Anne-Charlotte Chauvet",
        "title": "Founder",
        "founder_bio": "I have 10+ years of experience in building/scaling Revenue Operations at B2B SaaS companies (from <$1M to $150M+ in ARR). Just before founding Gluetrail, I was responsible for Revenue Operations at Algolia (YC W14).\n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/annecharlottechauvettissot/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7dfb4e07bbe9802fe81a7e037656fc30a5d0c0e6.jpg"
      },
      {
        "user_id": 1189125,
        "full_name": "Baptiste Coquelle",
        "title": "Founder",
        "founder_bio": "10+ years in software development applied to Operation and Strategy.\nI had the chance of joining Algolia early stage and to work on many different layers in the data space: data automation, data pipeline, data analytics and most recently, business modeling in sales led and product led motion, where there is still so much to do!",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/baptistecoquelle/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4710815d2d6a029d08d7d2455438f0f8f6d459f2.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 68415,
        "title": "✨ Gluetrail - empowering non tech teams to build internal tools, in minutes",
        "tagline": "No code SaaS allowing no tech teams to build internal tools autonomously",
        "body": "**TL;DR** [**Gluetrail**](https://www.gluetrail.com/) is a no-code SaaS application that allows non-technical teams to build internal tools autonomously, on top of their existing business systems and databases. Have a look at our [**template library**](https://www.gluetrail.com/templates) or contact us with any use case you’d like help with; sign up [**here**](https://www.gluetrail.com/) to request free trial access.\n\n### **🛠️ THE PROBLEM WITH BUILDING INTERNAL TOOLS**\n\n* **Operational teams rely heavily on internal tools.**\n* They know best the challenges they need these tools to solve, and have **the most urgency** for them.\n* But **they are not autonomous to build and maintain them**.\n\nWhy? Because building internal tools requires knowing how to write and maintain code.\n\n_A short story about a simple use case is worth a thousand words…_\n\nJohn from the Ops team wants to drive his sales team’s productivity by building and sending forms on Slack (with buttons, input, datetime etc.) and process that information back to his CRM, HubSpot. For example, sending a form like this to update deals’ close dates that are past due:\n\n![](https://lh7-us.googleusercontent.com/-4DOLazJmJHGcHsg7aHXz2Ssy1rlRWy3zkaHokyGVxRQ8K05Cz56ohVxpjpkX_qd4RFynIJUOEBIW2dgkIKaPG31AugDRGZEQENIL7nNp-LoeqXd6fUiF3JsEotM1Kdt1jpHjWGL-IoIGI2xFerDYkw)\n\nHe looks at options to build this but none of them are suitable:\n\n* **Ask his dev team**: his request is low priority in the backlog and he knows he’ll have to go back often to the dev team for maintenance after the tool is built.\n* **Leverage internal tools builders**: these tools are built for developers and require knowing how to code. The technical bar is too high for John to get started and build quickly.\n* **Use no-code workflow tools**: his use case requires building end-user interfaces (Slack notifications with a form and buttons), which is something these tools don’t handle easily without having to code.\n\n### **🤖 THE SOLUTION**\n\nHere's a [**1mn video demo**](https://www.gluetrail.com/use-case/video-demo) of how John built, in Gluetrail, his Slack notifications allowing reps to update HubSpot, without any code.\n\n![uploaded image](/media/?type=post&id=68415&key=user_uploads/1188344/7e6a88e2-b8e6-4f67-94b4-fd7f5abc2685)\n\n![uploaded image](/media/?type=post&id=68415&key=user_uploads/1188344/cc1c8bf2-c3f7-4835-a999-4a0fc67a17aa)\n\n[Gluetrail](https://www.gluetrail.com) empowers non-technical teams to build business critical internal apps autonomously, literally in minutes. We do this with:\n\n* **A no-code interface**\n* **Automations and UI components** to build web, Slack or Chrome extension based interfaces \n* **Integrations** with 3rd party systems like HubSpot, Salesforce, Notion, OpenAI, Slack, Postgres, BigQuery and others.\n\nOur [template library](https://www.gluetrail.com/templates) features some use cases you can replicate in Gluetrail. \n\n### **🚀 Give it a try!**\n\nWe offer **14-day free trials to get started**. Our pricing is license based for internal tool builders and front-end users, and comes with unlimited app builds and runs.\n\nYou can get in touch with us by **signing up on our** [**website**](https://www.gluetrail.com) (we’ll follow up quickly!) or emailing us directly at [annecharlotte@gluetrail.com](mailto:annecharlotte@gluetrail.com).  ",
        "url": "https://www.ycombinator.com/launches/HnT-gluetrail-empowering-non-tech-teams-to-build-internal-tools-in-minutes",
        "votes": 43,
        "created_at": "2023-01-13T11:01:42.171Z"
      }
    ]
  },
  {
    "id": 27819,
    "name": "FlexWash",
    "slug": "flexwash",
    "former_names": [
      "FlexWash Technologies, Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/91e7c3ac7ae72c11b4d5a3c04877460cac5d2d3d.png",
    "website": "https://www.flexwash.com/",
    "all_locations": "Temecula, CA, USA",
    "long_description": "Car washing is a $15B market in dire need of disruption. Legacy systems are costly, out of date, and inflexible. We are building modern solutions to help car wash operators manage and grow their business.",
    "one_liner": "The operating system for the car wash industry.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677718228,
    "tags": [
      "SaaS",
      "B2B",
      "Subscriptions",
      "Retail",
      "SMB"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "In 2019 I took over the family business, a 20 year old full service car wash. This business had no subscription program, which by this point had become a popular thing in the car wash industry. The site was also surrounded by several well established competitors.\\\\Instead of offering an identical subscription model that gave customers a single wash unlimited I wanted to do something different. Our subscription gave customers more flexibility and combined multiple packages from our menu, allowing them to both clean the car themselves and take advantage of options where we cleaned the car for them all for a recurring monthly fee.\\\\I searched the industry for a solution that would help me do this and found none. All existing solutions were inflexible and came with quotes over $100K. This wasn’t going to work for us, so I built a custom solution and shortly after other car washes were interested in using it as well."
      }
    ],
    "url": "https://www.ycombinator.com/companies/flexwash",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/flexwash.json",
    "year_founded": 2021,
    "city": "Temecula",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/flexwashtech/about/",
    "x_url": "https://twitter.com/flexwashtech",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/91e7c3ac7ae72c11b4d5a3c04877460cac5d2d3d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5e9f04866709a464559b2e842e630a628714d976.png"
    ],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 968288,
        "full_name": "Karan Toor",
        "title": "Founder",
        "founder_bio": "Been writing B2B SaaS software for over a decade, noticed car wash software was especially behind. Interested in math puzzles and economics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/currentoor/",
        "x_url": "https://twitter.com/CurrenToor",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/89503803b4a591ca365d75cc694caac317195ccf.jpg"
      },
      {
        "user_id": 165993,
        "full_name": "Chirag Toor",
        "title": "Founder",
        "founder_bio": "I'm a co-founder of FlexWash. I've been writing software for over 10 years and running my family car wash with my brother for 4 years. We ran into several pain points trying to run our car wash with existing solutions, so we built our own.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chirag-singh-toor-94713aa7",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a898bb3afef30388c77c6dee1a936a84199bb4ac.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 69970,
        "title": "🚘💦FlexWash - An operating system for car washes",
        "tagline": "We make all the software car washes need to manage operations and revenue.",
        "body": "Hi, we’re [Chirag](https://bookface.ycombinator.com/user/165993) and [Karan](https://bookface.ycombinator.com/user/968288), founders of [Flex Wash](https://www.flexwashtech.com/), based in Temecula CA. We have decades of software development experience and ran a car wash ourselves.\n\n**Flex Wash is an operating system for the car wash industry. We help owners manage their operations and grow their revenue.**\n\nCar washing is an industry no one ever thinks about, especially software companies. But they should! This is a $15B industry that is rapidly evolving with publicly traded companies and franchises entering the space for the first time in history.\n\n### **The Problem**\n\nCar washes have complex technology needs beyond just normal retail\n\n* 🚗 License plate recognition and tracking\n* 💰 Monthly subscription management\n* 🧑 Customer retargeting\n* ⚙️ Complex maintenance for equipment that costs up to $1M\n\nCurrent solutions in this space are\n\n* 💲 Costly, charge big upfront fees for custom hardware (up to $100K)\n* 📟 Out of date, require ancient versions of Windows on-premise servers\n* 🩼 Inflexible, software is sold in static licenses rather than as a service\n\n### **The Solution**\n\nWe offer car wash operators a system that is:\n\n* 😺 Affordable, just a monthly SaaS fee\n* 📱 Compatible with generic hardware (< $700)\n* ☁️ Runs in the cloud, operators can focus on car washing, not servers\n* 💰 Modern, we use vehicle wash history to funnel customers to high-margin subscriptions\n\n### We know this because we ran a car wash ourselves. We faced these issues first hand and that is why we got together to build FlexWash. Our solution not only saves operators money but helps them better manage operations and boost revenue.\n\n\\\n**The Ask**\n\n* **Own a car wash? … We’d love to give you a demo**\n* **Don’t own a car wash? … Refer anyone in your network, especially your favorite car wash, please.**\n* **Car wash enthusiast? … We’d love to chat.**\n\nReach us at [karan@flexwashtech.com](mailto:karan@flexwashtech.com).",
        "url": "https://www.ycombinator.com/launches/ICY-flexwash-an-operating-system-for-car-washes",
        "votes": 41,
        "created_at": "2023-03-06T18:25:19.584Z"
      }
    ]
  },
  {
    "id": 27820,
    "name": "LaunchFlow",
    "slug": "launchflow",
    "former_names": [
      "FlowState",
      "Inlet",
      "launchflow",
      "LaunchFlow",
      "infra.new",
      "LaunchFlow / infra.new",
      "infra.new"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ba2bf3c743512b0b3cda71e1f81a113f9c1c05c.png",
    "website": "https://www.launchflow.com/",
    "all_locations": "Eugene, OR, USA; Remote",
    "long_description": "Still cooking...\r\n\r\nReach out to josh@launchflow.com if you'd like early access.",
    "one_liner": "Collaborative workspace for internal tools and agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1675872738,
    "tags": [
      "SaaS",
      "B2B",
      "Operations",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/launchflow",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/launchflow.json",
    "year_founded": 2023,
    "city": "Eugene",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/launchflow-inc/",
    "x_url": "",
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    "cb_url": null,
    "github_url": "https://github.com/launchflow",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ba2bf3c743512b0b3cda71e1f81a113f9c1c05c.png",
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    "founders": [
      {
        "user_id": 808343,
        "full_name": "Josh Tanke",
        "title": "Founder",
        "founder_bio": "Previously helped scale data & ml infra at Google[X] and Google Life Sciences.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josh-tanke",
        "x_url": "https://twitter.com/josh_tanke",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c649a4cb7f132d3ad990c2cf36ec6e0f0b9d86ff.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 87449,
        "title": "Infra.new - AI Copilot for Cloud DevOps",
        "tagline": "Save money and ship faster on AWS, GCP, and Azure.",
        "body": "**tl;dr**\\\n[**infra.new**](http://infra.new) is an AI DevTool that configures your cloud infrastructure for cost and security.\n\nYou can set up your entire infrastructure stack from scratch or import your GitHub repository to optimize your existing configuration.\n\nTry it now at [**infra.new**](http://infra.new) – no signup required.\n\n![uploaded image](/media/?type=post&id=87449&key=user_uploads/808343/7e666222-a6d5-4cc8-887e-f341c3d8f10d)\n\n---\n\n---\n\n—\n\n---\n\nHey everyone,\n\nWe're excited to launch [**infra.new**](http://infra.new)—your AI Copilot for Cloud DevOps.\n\nThe cloud is complicated. Engineering teams waste countless hours configuring Infrastructure as Code, CI/CD pipelines, and other related DevOps tooling. Whether you’re setting up a new project or reconfiguring an existing one, manual configurations and unpredictable costs can slow you down.\n\nWe’re building an AI agent specialized in configuring the cloud so engineering teams can focus on shipping their product without sacrificing control or cost.\n\n### **Problems with LLMs and DevOps**\n\n* **Stale Documentation & Configuration Errors:**\\\n  LLMs often reference outdated docs and hallucinate fields that don’t exist, resulting in misconfigurations that can cost you time and money.\n* **Hidden Cloud Costs:**\\\n  A single tweak can unexpectedly spike your expenses. Without clear visibility, planning your budget is a guessing game.\n* **Lack of Context:**\\\n  General-purpose coding agents are great at updating application code, but often struggle to find the subtle connections between different configuration files.\n* **Bad Training Data:**\\\n  LLMs will generate an average of the content they see online, but the average cloud configuration online is messy and filled with bugs. Most IaC on Reddit is related to junior devs asking about their configuration.\n\n### **Our Solutions**\n\n* **Fresh Documentation:**\\\n  The agent pulls the latest documentation for Terraform, GitHub Actions, and other tools before every change, ensuring your configurations are accurate and current.\n* **Real-Time Cost Calculator:**\\\n  You can see a complete breakdown of your cloud costs update in real-time as your configuration changes, so you know exactly how much it will cost before you deploy.\n* **Automated Error Detection & Fixes:**\\\n  A dedicated language server scans your configuration for issues and applies fixes automatically, reducing manual debugging.\n* **Expert-Guided Best Practices:**\\\n  The agent has access to a corpus of expert human examples that it references to produce configuration that is optimized for performance and security.\n* **Two-Way GitHub Sync:**\\\n  Import your existing Terraform, see what it currently costs, ask the agent to look for optimizations, then export any changes back to GitHub.\n\n### **Demo**\n\nWatch me use [infra.new](http://infra.new) to reduce our AWS bill from $400 to $150 with little to no effort in the video below\n\n[Infra.new](http://Infra.new) [Demo - AWS](https://www.loom.com/share/3b7d85b25fd94cfd93ca19c39c188618?sid=f9ca58ca-6bd3-4b97-bd3b-46c842ea8160)\n\n### **Contact Us**\n\nIf you have any questions or feedback, please feel free to reach out!\n\nEmail the founders at [founders@launchflow.com](mailto:founders@launchflow.com) or book some time to chat at <https://calendly.com/josh-from-launchflow/chat>",
        "url": "https://www.ycombinator.com/launches/MkT-infra-new-ai-copilot-for-cloud-devops",
        "votes": 18,
        "created_at": "2025-02-05T19:28:23.002Z"
      },
      {
        "id": 82326,
        "title": "LaunchFlow - A Terraform / Pulumi alternative for Python developers",
        "tagline": "Automate infrastructure on GCP and AWS with Python",
        "body": "[**LaunchFlow**](https://launchflow.com/) is an Infrastructure as Code Python SDK that extends OpenTofu with features like [**multi-environment support**](https://docs.launchflow.com/docs/concepts/environments), [**autoconfigured infrastructure clients**](https://docs.launchflow.com/docs/concepts/resources), and [**API release management**](https://docs.launchflow.com/docs/concepts/services).\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82326&key=user_uploads/808343/d6958b07-d5be-4547-b751-173b033339c5)\n\nYou can add GCP / AWS infrastructure to your app with a single line of code - all infrastructure types ship with built-in clients that automatically connect to your infrastructure across multiple environments. Includes integrations with [**FastAPI**](https://docs.launchflow.com/docs/framework-guides/fastapi), [**Flask**](https://docs.launchflow.com/docs/framework-guides/flask), and [**Django**](https://docs.launchflow.com/docs/framework-guides/django).\n\n**Try it out**\n\nIt only takes 3 commands to launch your first app to GCP or AWS\n\n1. install the Python SDK with pip\n\n   ```\n   $ pip install launchflow \n   ```\n2. setup launchflow in any Python project\n\n   ```\n   $ lf init \n   ```\n3. deploy everything used in your code to GCP / AWS\n\n   ```\n   $ lf deploy {env} \n   ```\n\nFollow the [**Get Started Guide**](https://docs.launchflow.com/docs/get-started) to launch an example FastAPI app in a matter of minutes.\n\nNo account required.\n\n**Easily collaborate with your team**\n\nLaunchFlow Cloud is an optional service you can use to create collaborative cloud environments that automatically share infrastructure, configuration, and secrets with your team. You can also access preconfigured GitHub release pipelines, audit logs, RBAC security, and more.\n\n![](https://www.launchflow.com/_next/image?url=%2Fhome%2Fconsole.png&w=2048&q=75)\n\nYou and a teammate can try LaunchFlow Cloud 100% free forever - signup at [**console.launchflow.com**](http://console.launchflow.com/) to get started.\n\n**Contact us**\n\nIf you are interested in anything mentioned above, we would love to hear from you!\n\nYou can email us at [**team@launchflow.com**](mailto:team@launchflow.com) or book some time on [**my calendar**](https://calendly.com/josh-from-launchflow/chat).\n\nHappy launching! 🚀",
        "url": "https://www.ycombinator.com/launches/LPq-launchflow-a-terraform-pulumi-alternative-for-python-developers",
        "votes": 4,
        "created_at": "2024-07-22T20:54:00.610Z"
      },
      {
        "id": 80185,
        "title": "LaunchFlow: A better developer experience on GCP and AWS",
        "tagline": "The easiest way to build Python apps on GCP and AWS",
        "body": "## **TLDR**\n\n[**LaunchFlow**](https://www.launchflow.com/) manages cloud environments in your own GCP / AWS account that are secure, scalable, and cost-effective by default. Import Postgres, Redis, and other cloud resources in your Python code, then deploy everything to your cloud with a single command.\n\n—\n\nLaunchFlow is an [**infrastructure-from-code**](https://infrastructurefromcode.com/) tool that aims to dramatically improve your developer experience on GCP and AWS. We automatically deploy infrastructure to dedicated environments in your cloud as you use it in your code and ensure it's configured for both local development and production deployments.\n\n## **The Problem**\n\nWe believe managing and using cloud infrastructure is far more complex than it should be. It's hard to set up deployment pipelines. It's frustrating to run your application locally. It's annoying to keep your cloud configuration in sync with your application code.\n\nMost teams cobble together their own DevOps automations using a mixture of Terraform, Pulumi, custom scripts, and environment variables. These automations are great when they work but are often brittle and eventually become the main source of overall system complexity.\n\nWe believe there's a better way.\n\n## **The Way**\n\n![](https://lh7-us.googleusercontent.com/86TIu-MtInbRpmbfJWeL50XX54rQ0LV8KadWXaHHZJyZ9pmJ6ZMCKUwHoDLmDDukyiDubynyYQShtBsOLdrrdf08-ZYYEflSKKUIhrb7x9OY8YMNs_OBI_0ydBleeUpuU-jZqe2ycmB_N-PynbDzc7U)\n\nUse LaunchFlow’s Python SDK to import Postgres, Redis, and other cloud resources in your Python code, then deploy everything to dedicated environments in your cloud with a single command.\n\nEverything in the LaunchFlow ecosystem is fully configured for local development and cloud deployments by default.\n\n**Environments**\n\nLaunchFlow **deploys** and **manages** your infrastructure inside [**Environments**](https://docs.launchflow.com/docs/concepts/environments) that run in your own cloud account. These Environments satisfy most compliance requirements by default and are automatically configured for cost, security, and reliability.\n\n![](https://lh7-us.googleusercontent.com/Qa6mHTluFv0JTJqD6JwWs9vzQHmZxtn5j54fqvXUTmieIg20B7nBtZIrTOJ3SquGLPJaYtHvGHUKMuHOmv1zLJge7zLy5KYr8pNzmeSX3abNorK2DQ3I2_2iV6qNP6bRMsh80d1jZFUpjUmAURGpLcY)\n\n**Resources**\n\nYou can **create** and **connect** to cloud [**Resources**](https://docs.launchflow.com/docs/concepts/resources) in an Environment by simply importing them into your code. Our SDK provides ready-to-use client APIs for every Resource so you can immediately start using them in your application both locally and when deployed.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80185&key=user_uploads/808343/085c12a5-8f53-44b9-8a97-1799f53ff2f4)\n\n**Deployments**\n\nYou can **build** and **deploy** Python applications in the same environment as your resources with a single command. LaunchFlow [**Services**](https://docs.launchflow.com/docs/concepts/services) lets you deploy your APIs to GCP / AWS with all resource permissions and networking settings automatically configured. We will be adding Jobs and Notebook deployments in the next couple of months.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80185&key=user_uploads/808343/b7c23093-c085-4a3d-97ac-60ebb78d92f5)\n\n## **Works anywhere that Python runs**\n\nLaunchFlow Resources manages its own configuration and can be plugged into any existing Python app. We’re framework-agnostic and work anywhere that Python runs - we also include a library of common utilities for building FastAPI, Flask, and Django apps on the cloud.\n\n## **Why not just use Terraform / Pulumi?**\n\nTools like Terraform and Pulumi make it easy to automate cloud infrastructure, but there is still an added cost of maintaining a separate IaC tool and keeping it in sync with your application encode.\n\nOn top of this, these tools only help you create the infrastructure, but they don't help you actually _use_ it. Engineers can spin up infrastructure in a few minutes, but they'll often spend the rest of the day (or longer) stumbling through docs and blogs, trying to figure out how to actually connect it to their application.\n\nThings only get worse once you add a release pipeline into the mix and now need to figure out how to structure your code to work across multiple environments.\n\nThis creates a tradeoff between automation and overall system complexity, which is why many teams put off IaC practices until they can afford a DevOps engineer/team to maintain the automations for the company.\n\n## **Our ask**\n\nWe are looking for pilot users who would like to start using LaunchFlow today.\n\nIf you’re interested in using LaunchFlow, please email me at [**josh@launchflow.com**](mailto:josh@launchflow.com) or schedule a demo call using my [**Calendly**](https://calendly.com/josh-from-launchflow/one-on-one-with-josh-founder).\n\nHappy launching! 🚀",
        "url": "https://www.ycombinator.com/launches/KrJ-launchflow-a-better-developer-experience-on-gcp-and-aws",
        "votes": 8,
        "created_at": "2024-04-15T17:39:39.355Z"
      }
    ]
  },
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    "id": 27821,
    "name": "PoplarML",
    "slug": "poplarml",
    "former_names": [
      "Poplar"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e108e35156cecf90efeb1f504d510fca87ce7b44.png",
    "website": "http://poplarml.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "PoplarML lets you deploy any machine learning model to a fleet of GPUs as a ready-to-use and scalable API endpoint with one command.",
    "one_liner": "Deploy Machine Learning Models with One Command",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1674681330,
    "tags": [
      "AIOps",
      "Machine Learning",
      "B2B",
      "API",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/poplarml",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/poplarml.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/poplarml/",
    "x_url": "https://twitter.com/PoplarML",
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    "founders": [
      {
        "user_id": 522488,
        "full_name": "Danna Liu",
        "title": "Founder",
        "founder_bio": "Co-Founder of PoplarML, Previously Research @ Snap, SWE @ Stripe, Coinbase, Microsoft, PagerDuty",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dnaliu",
        "x_url": "https://twitter.com/dnaliu17",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8031b2bc79dd8cb941d56543eeafeb8ed6f8cc6.jpg"
      },
      {
        "user_id": 556433,
        "full_name": "Evan Chu",
        "title": "Founder",
        "founder_bio": "Co-Founder @ PoplarML. Previously SWE @ Stripe, Amazon, AWS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evan-j-chu/",
        "x_url": "https://twitter.com/evan_j_chu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30d3a5d172cfeb2c14891b4ab942650f2de5090b.jpg"
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    "jobs": [],
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    "launches": [
      {
        "id": 69447,
        "title": "🌳 PoplarML – Deploy machine learning models with one command",
        "tagline": "Deploy any machine learning model to a fleet of GPUs as a ready-to-use and scalable API endpoint with one command",
        "body": "👋 Hey Everyone, this is Danna and Evan, and we’re super excited to introduce PoplarML!\n\n### 📖 **TL;DR**\n\nBuilding deployment infrastructure for machine learning models is difficult and time-consuming. With PoplarML, you can replace that process with one simple command. We handle all of the infrastructure to deploy and serve at scale, enabling you to focus on building your product.\n\n### ❌ **The Problem**\n\nAI-powered products have grown in popularity but many are deterred by the challenges to bring their models to life. Deploying a machine learning model to production is complex and requires a heavy engineering lift. Building the infrastructure to support ML models takes days, increasing the time to ship your product. \n\n## ⚡ **The Solution**\n\nPoplarML helps teams easily deploy custom machine-learning models to production. With one simple CLI command, you can turn your model into an API endpoint that you can integrate with the rest of your product. Our endpoints come with auto-scaling out of the box, ensuring low-latency when there are bursts of requests to your model.\n\nPoplarML can deploy any custom model, regardless of the framework used. Some examples of models that our customers have deployed on PoplarML are: \n\n* Flan-T5-XXL\n* Whisper\n* Stable-Diffusion-2\n\n### 🤖 **How it Works**\n\n1. ✏️ Define a Load and Predict function in a [main.py](http://main.py) file\n2. 💻 Use our CLI tool to pick a GPU instance and deploy your model\n3. 🚀 Use the returned API endpoint in your product\n\n![uploaded image](/media/?type=post&id=69447&key=user_uploads/522488/30758efd-4ce3-48d0-94be-e43093ad027f)\n\n### 💡 **Why PoplarML was Built**\n\nWe have personally felt the pain of deploying models to production and have previously built ML deployment infrastructure at companies such as Amazon and Snapchat. With PoplarML, we would like to provide a better and more streamlined experience for ML development. \n\n### **🙌 Our Asks**\n\n* Reach out via our [contact us](https://poplarml.com/contact.html) form or book a time directly on our [calendly](https://calendly.com/poplarml/15min) if you want to try PoplarML\n* Share this with anyone you know building AI-powered products or companies\n* Upvote and share this post!",
        "url": "https://www.ycombinator.com/launches/I47-poplarml-deploy-machine-learning-models-with-one-command",
        "votes": 297,
        "created_at": "2023-02-20T18:57:45.405Z"
      }
    ]
  },
  {
    "id": 27823,
    "name": "Overflux",
    "slug": "overflux",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a0338ca42cb50b2be254086011ed9dc423496b0.png",
    "website": "",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Overflux automates the EV charger purchase, installation, and government incentive application processes for commercial real estate properties.",
    "one_liner": "Streamline EV charger installations for real estate developers",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1703408985,
    "tags": [
      "Logistics",
      "Proptech",
      "Climate",
      "Transportation",
      "Electric Vehicles"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/overflux",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/overflux.json",
    "year_founded": 2022,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/overflux/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a0338ca42cb50b2be254086011ed9dc423496b0.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 504669,
        "full_name": "Richard Zhang",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO of Integuru — build and maintain fast, reliable integrations for any platform. Previously, product at Alibaba Cloud; data science at DiDi; and investor at Dragonfly and Gaorong Capital.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/richardfzhang",
        "x_url": "https://twitter.com/richardfzhang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd03f278f2cd349006ec4f4401e1b71dc41b9886.jpg"
      },
      {
        "user_id": 305252,
        "full_name": "Ari Sokolov",
        "title": "Founder",
        "founder_bio": "",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/ari-sokolov-a87136a2",
        "x_url": "",
        "avatar_thumb_url": "/avatars/thumb/missing.png"
      }
    ],
    "jobs": [],
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  },
  {
    "id": 27824,
    "name": "Coperniq",
    "slug": "coperniq",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9213f506809754ff509502961f8e99070b3ed411.png",
    "website": "https://coperniq.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Coperniq is workflow software for solar & energy contractors.\r\n\r\nIt cuts soft cost per installation by $3K (17% of total cost) & accelerates project completion by 45 days (30% of project timeline).\r\n\r\nWe replace Salesforce, spreadsheets, pencil-&-paper, & other hacky workarounds with an industry-specific application for the underserved energy workforce. \r\n\r\nMain benefits for our customers \r\n1. Finish projects faster and cheaper: Our platform cuts 17% of soft costs, allowing contractors to deploy more projects, faster, and cheaper, with 5-star customer experience every time\r\n2. Turn costly (often unprofitable) service calls into a revenue engine: By integrating with hardware OEMs (Enphase, SolarEdge, etc...), Coperniq gives you real-time health checks for your install base, automates service tickets, & drives referral revenue\r\n\r\nCoperniq does all this and much more in one beautiful platform!\r\n\r\nAre you or someone you know running or thinking about starting a solar company? [Schedule a call with us :)](https://calendly.com/coperniq-sales/discovery-web-v2 )",
    "one_liner": "Workflow software for solar & energy contractors ☀️😎",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1677047552,
    "tags": [
      "SaaS",
      "Solar Power",
      "B2B",
      "Climate",
      "Renewable Energy"
    ],
    "tags_highlighted": [],
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    "isHiring": true,
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/coperniq.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "http://www.linkedin.com/company/69833957",
    "x_url": "https://twitter.com/coperniqinc",
    "fb_url": "https://www.facebook.com/Coperniq",
    "cb_url": "https://www.crunchbase.com/organization/coperniq",
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    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 869130,
        "full_name": "Abdullah Al Zandani",
        "title": "Founder",
        "founder_bio": "sales&ops @ two solar companies || energy efficiency building auditor @ ADM | B.S. Energy Engineering Cal '21",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/azandani/",
        "x_url": "https://twitter.com/abdullahzandani",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03c19e298002f8fccbcb6e82592d7ce534361c04.jpg"
      },
      {
        "user_id": 541919,
        "full_name": "Max Kazakov",
        "title": "Founder",
        "founder_bio": "Skills: Software, Data, UX/UI;\nEdu: CS & Philosophy @ UC Berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mxkzk/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5257d5a23f9bd9afec90f725efb3640f93885630.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Coperniq raises $4M seed round to bring SaaS to solar installers | TechCrunch",
        "url": "https://techcrunch.com/2023/11/06/coperniq-seed-round",
        "date": "Nov 06, 2023"
      }
    ],
    "launches": [
      {
        "id": 69996,
        "title": "😎☀️ Coperniq — Workflow software for solar & energy contractors",
        "tagline": "Coperniq automates the entire solar workflow so contractors can focus on growing their business & helping more homeowners go solar!",
        "body": "What’s up YC 👻 , Max & Abdullah here - co-founders of [Coperniq](https://www.coperniq.io/) (W23).\n\n# **🏃‍♂️ TL;DR**\n\nCoperniq is workflow software for solar & energy contractors. It cuts soft cost per installation by **$3K (17% of total cost)** & accelerates projects by **45 days (30% of project timeline)**.\n\nIt automates the entire workflow so contractors can focus on growing their business & helping more homeowners go solar 😎☀️\n\n# **🤯 Problem**\n\nAbdullah used to work in the solar industry, first in the sales department, and later in operations management.\n\nHe witnessed first-hand that while **“going solar”** was a no-brainer and took consumers 5 minutes, the process of getting a solar system **turned on** was a nightmare for companies and customers alike, taking 6-9 months instead of the promised 90 days. \\\n\\\nThis is because despite being one of the most important industries of our lifetime, solar is in the dark ages technologically. Bloated Salesforce instances, spreadsheets with 300+ columns, and pencil-and-paper workflows in the field…\n\nThis results in project managers working 60-hour weeks, human error & delays at every step of the process, and some of the [worst customer experience](https://www.facebook.com/watch/?v=1877039252445470) in the entire home improvement sector.\n\n# **💡 Solution**\n\nCoperniq is the first industry-specific platform for the underserved energy workforce. It helps…\n\n## **1\\. Finish projects faster and cheaper**\n\nOur platform cuts up to 25% of soft costs, allowing contractors to deploy more projects, faster, and cheaper; with 5-star customer experience **every time**.\n\n![uploaded image](/media/?type=post&id=69996&key=user_uploads/541919/dc586ac8-2cc9-4216-a3ff-95737f8c9942)\n\n### **2\\. Turn costly (often unprofitable) service calls into a revenue engine**\n\nBy integrating with hardware OEMs (Enphase, SolarEdge, etc…), Coperniq gives you real-time health checks for your install base, automates service tickets, & drives referral revenue.\n\n![uploaded image](/media/?type=post&id=69996&key=user_uploads/541919/2e40aa5b-e1cd-4413-9efc-4780e32d1f28)\n\n# 🙏 **Ask**\n\nAre you or someone you know running (or thinking of starting) a solar company?\n\n* Email us at [team@coperniq.io](mailto:team@coperniq.io)\n* or [schedule a call here :)](https://calendly.com/coperniq-sales/discovery-web-v2)",
        "url": "https://www.ycombinator.com/launches/ICy-coperniq-workflow-software-for-solar-energy-contractors",
        "votes": 28,
        "created_at": "2023-03-07T05:46:34.556Z"
      }
    ]
  },
  {
    "id": 27825,
    "name": "CreatorML",
    "slug": "creatorml",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b90e2d2f63ae83d85e896853794c55a507ba363.png",
    "website": "https://creatorml.com/",
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    "long_description": "CreatorML builds predictive AI for video virality to help businesses scale their social media strategy. ",
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        "body": "Howdy, [**Charles Weill**](https://www.linkedin.com/in/cweill/) here! 👋🏼\\\n\\\nI’m the founder of [**CreatorML**](https://creatorml.com/), a ML-powered web-based tool _and_ Chrome Extension that helps YouTube Creators predict which topics, titles, and thumbnails will get the most views before they upload.\n\nFor context, prior to June 2022, YouTube paid out over $50B in advertising rev-share to its creators.\n\n### The Problem\n\n* Success on YouTube is determined by views, yet creators have no way of quantifying the number of views their videos will receive.\n* To try and uncover the winning formula, many churn through as many videos as possible and quickly burn out.\n* YouTubers are drowning in analytics data, but only the largest creators can afford to hire data science teams to get actionable insights.\n* The biggest determinant of success on YouTube is the quality of topics, titles, and thumbnails.\n\n### Our Solution:\n\n* We developed a proprietary machine learning algorithm that analyzes millions of video datapoints to create a reliable, scalable predictive model.\n\n  ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/7f575fb2-03c9-4d68-9b09-dea25839a408)\n\n* Our view predictors allows creators to understand how small changes like reducing the character count of a title, or changing the colors of a thumbnail image can make a meaningful difference in video views.\n* By removing bias when creators select a title and thumbnail, CreatorML ensures long-form videos are objectively packaged to attract and engage the largest audience possible. \n* While CreatorML is starting with topics, titles and thumbnails, our vision is to create a complete predictive ecosystem that guides creators through every step of the creative process.\n\n### The Team\n\n* Before founding CreatorML, I was technical lead in applied machine learning at Google Research for 7 years, using deep learning to improve critical algorithms in Cloud AutoML, Ads, Search, and YouTube.\n* I’m also a part-time [YouTube Creator](https://www.youtube.com/channel/UCjDKKm48cjwdPvM38Kk1_-w).\n* I realized that I found a pain point when I began [tweeting about simple analyses of YouTube analytics data](https://twitter.com/CharlesWeill/status/1535310836926922752), and many of the biggest YouTubers in the industry began following me.\n\n  ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/6ad9c037-1b31-4779-89cb-87e65e2a7c97)\n\n\n### How You Can Help:\n\n* Try our demo to get view predictions for channels such as [MrBeast](https://creatorml.com/channels/2563/ranker/), [Aphmau](https://creatorml.com/channels/437/ranker/), and [MKBHD](https://creatorml.com/channels/468/ranker/).\n* If you’re a YouTube Creator with over 100,000 subscribers, let’s connect at [founders@creatorml.com](mailto:founders@creatorml.com), and I’ll onboard you with a custom view predictor for your channel.\n* If you’re not a YouTuber, you should download our [Chrome Extension for YouTube](https://chrome.google.com/webstore/detail/creatorml-for-youtube/flcnlfhmbofndllkfdnkkbcbopllimfb). It’s totally free, and shows you when YouTubers change their titles and thumbnails, so you can learn what works and what doesn’t for when you begin making your own content:\n\n  ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/7926c1f9-565e-4732-afef-0162003440e7)\n\n",
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        "full_name": "Jesse Buckingham",
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        "title": "🚛 Vooma - Backoffice automation for logistics",
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        "body": "**_tldr_**_: Vooma fully automates order taking from shippers for brokers and carriers. We help logistics companies scale with less headcount, reduce cost per load and eliminate data entry errors. Reach out at _[_www.vooma.ai_](http://www.vooma.ai)_._\n\nHello! We’re Mike and Jesse, and we’re building Vooma.\n\n### 🎊 Vooma: a backoffice automation platform for logistics\n\nVooma is a back-office automation platform for freight brokers and carriers that fully automates order taking from shippers.\n\n![uploaded image](/media/?type=post&id=69872&key=user_uploads/887217/2a8f7b68-4b35-46d5-9e22-852e63f32c67)\n\n### 😰 Taking orders from shippers is still extremely manual\n\nToday brokers and carriers receive 60% of orders (\\~$200BN of freight) over email text, spreadsheets and PDFs and key them into their systems manually. The industry spends \\~$750M per year in salaries alone on this problem.\n\nOnly a fraction of shippers have transportation management systems, and a smaller fraction can send orders digitally.\n\nThere’s no good solution for logistics companies. Some have tried robotic process automation, but the variety of file types makes RPA clunky, slow and not cost effective.\n\nFor brokers and carriers, building loads manually:\n\n* is expensive,\n* distracts from higher value tasks,\n* results in billing and operational errors, and\n* makes scaling without headcount hard.\n\n### 💡 How does Vooma work?\n\nIt’s simple.\n\n1. Reps forward order emails to Vooma\n2. Vooma extracts the load details\n3. Vooma pushes the load to the broker/carrier system through EDI / API\n\nWith Vooma, brokers and carriers can:\n\n* Scale with less headcount\n* Reduce cost per load\n* Eliminate data errors\n\n![uploaded image](/media/?type=post&id=69872&key=user_uploads/887217/0121e6db-796e-4a32-a721-c875b45b4c78)\n\nWe’ve successfully solved the order entry problem where others have failed by combining our computer vision expertise with today’s large language models.\n\n### 🧑‍🤝‍ 🧑 The Vooma team\n\nJesse and Mike were introduced by a close mutual friend and bonded over a love of logistics. \n\nMike had built self driving trucks as a founding engineer at Kodiak Robotics ($250M raised), establishing and leading their motion planning and safety teams. Prior to that he was an autonomy engineer at Uber ATG and Otto.\n\nJesse had grown a private equity backed logistics software company from $2M to $20M+ ARR as CEO, selling to brokers and truckers. He saw first hand that every logistics company struggled with order entry and no good solution existed.\n\nJesse and Mike teamed up and realized they were perfectly positioned to solve the order entry problem, combining a deep understanding of the businesses that feel this pain with the computer vision, AI, and automation expertise necessary to make it go away.\n\n### 🙌🏼 Our asks\n\nAre you a freight broker or carrier and want to experience the magic of automated order entry? \n\nOr have any brokers or carriers in your network? \n\nEmail us at [founders@vooma.ai](mailto:founders@vooma.ai) or visit us at [www.vooma.ai](http://www.vooma.ai) to connect.",
        "url": "https://www.ycombinator.com/launches/IAy-vooma-backoffice-automation-for-logistics",
        "votes": 18,
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        "user_id": 178715,
        "full_name": "Douwe Osinga",
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        "body": "Hello everyone, we are Douwe and Jack, and we're the founders of [Neptyne](https://neptyne.com/). We’re on a mission to create the world's most productive data platform. We really like spreadsheets and love programming and our product combines the two in quite a literal sense.\n\nNeptyne provides a new approach to working with data that combines the ease of use of spreadsheets with the power of data science tools such as Pandas and notebooks. By leveraging AI, Neptyne makes this unified approach accessible to everyone, eliminating the limitations of spreadsheets and reducing the complexity of using advanced data tools.\n\n![uploaded image](/media/?type=post&id=70264&key=user_uploads/178715/71682cab-9b0c-47d9-a074-706623f8b2cd)\n\n**So how does this work?** Of course, you can ask the AI for simple things, like ‘add a profit column’ or ‘create a map showing where the customers are’. But it really shines when you ask the AI to change existing code. If you have a complicated calculator predicting revenue that takes into account four factors, ask it to add a fifth or change the weighting.\n\nOr let’s say you have a powerful, pandas-based pivot table that summarizes the data by product and region. With Neptyne, you can ask the AI to modify the pivot table calculation to include or exclude specific products or change the grouping criteria, such as by product category instead of an individual product. The calculations are updated in real-time, allowing you to quickly explore different options and gain new insights from the data.\n\nIt's like having a co-worker next to you who knows Python well and can help you write new code, change existing code or even explain what’s going on.\n\nIn order to learn about the appetite for a Python-based spreadsheet environment, we launched a version of Neptyne on Hacker News a few weeks ago without the AI-based features. Thousands tried the product, and from that audience, an enthusiastic group of power users emerged. They're using Neptyne to build financial trading applications, personal fitness tracking, and Twitter bot automation.\n\nCheck out [our launch post on Hacker News](https://news.ycombinator.com/item?id=34818706) for more discussion on Neptyne \n\n**Our ask:**\n\nTake 3 minutes to go through our tutorial <https://neptyne.com/neptyne/tutorial> and get inspired to build your next thing.",
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        "full_name": "Rohan Punamia",
        "title": "Founder",
        "founder_bio": "Rohan started his career at LinkedIn in Sales Operations, where he built an automated quota setting engine for a $1B+ business and 500 reps using Machine Learning and LinkedIn’s Knowledge Graph. He later became a zero-to-one Product Manager, where he built enterprise products for LinkedIn's Talent business -- once again using Machine Learning and the Knowledge Graph.",
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        "full_name": "Kunal Punera",
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        "title": "Bluebirds - Resell to past customers who switched jobs",
        "tagline": "Sign up and Bluebirds will automatically identify champions using Machine Learning, detect job changes, and deliver hundreds of warm leads ranked by your ICP. Oh, and it's free.",
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    "long_description": "Modern teams work in the browser. But browsers weren't built for teams 😔. \r\n\r\nThis leads to a bunch of problems like:\r\n- Knowledge/info that is hard to find (links that get lost, documentation that gets, buried, silos, etc)\r\n- Poor collaboration\r\n- Inefficient workflows\r\n\r\nLinkGrep is an AI browser copilot that solves those problems by making your browser team friendly.\r\n\r\nSpecifically we help teams:\r\n1. 🔗 Keep track of links, documents, and more automatically. With LinkGrep you'll never have to manually add or save a link.\r\n2. 🔍 Find information that matters. LinkGrep connects with your existing tools like Notion and Slack and will automatically suggest relevant information to you as your browse (we have semantic search that you can fallback on). Demo: https://youtu.be/jwcPGDRy4oQ\r\n3. 👥 Collaborate better. LinkGrep lets you leave notes and comments directly on web pages — you won't ever have to copy paste a link into Slack ever again. \r\n4. 🤖 Automate team actions like opening up the right links before a meeting. Never disrupt a meeting to send a link again. Demo: https://youtu.be/an3VKpAWft0",
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        "full_name": "Divyagnan Kandala",
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        "full_name": "TJ Kandala",
        "title": "Founder",
        "founder_bio": "Dev and productivity tool builder. Previously was a software engineer at Sourcegraph where I worked on a bunch of extensions (VS Code, Browser, and the Sourcegraph extensions platform).",
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        "id": 70677,
        "title": "LinkGrep: AI browser copilot for teams",
        "tagline": "LinkGrep helps teams keep track of things and collaborate directly within the browser. ",
        "body": "**TL;DR:** LinkGrep is a browser extension that automatically keeps track of your links, suggests helpful information from your tools (like Slack & Notion) while you browse, opens links for you before meetings, and offers collaboration tools that are built directly into the browser.\n\nInterested? Reach out to us at [founders@linkgrep.com](mailto:founders@linkgrep.com) or book some time with us using <https://cal.com/linkgrep>\n\n![uploaded image](/media/?type=post&id=70677&key=user_uploads/6421/abb769f8-6421-42d5-bbac-beda81559866)\n\n👋🏽 Hi YC, we are [Divyagnan](https://www.linkedin.com/in/divyagnan/) and [TJ](https://www.linkedin.com/in/tjkandala/) and we are excited to share LinkGrep — an AI browser copilot for teams!\n\n# **What does LinkGrep do?**\n\n### **🔗 Automatically keeps track of all of your teams links**\n\n![uploaded image](/media/?type=post&id=70677&key=user_uploads/6421/29f93fd5-7b6a-4a72-b26f-028ca3a1b595)\n\nLinkGrep automatically keeps track of all of your links and ranks them by viewership across your team. This allows you to easily stay on top of every important document. LinkGrep also provides a command palette that is available on every site to help you navigate the browser more quickly.\n\n### **✨ Suggests information from your knowledge bases while you browse**\n\n<https://youtu.be/jwcPGDRy4oQ>\n\nLinkGrep can automatically connect the dots for you and will display related information from your browser history + team knowledge bases (like Slack & Notion) while you browse. LinkGrep also offers traditional semantic search if you ever want to manually search for things too.\n\n### **🤖 Opens up the right links before your meetings**\n\n<https://youtu.be/an3VKpAWft0>\n\nLinkGrep can figure out what links and tabs you need before your meeting and automatically opens them up for you. Everyone on your team will be on the same page when a meeting starts.\n\n### **👥 Makes collaboration easier through contextual notes on webpages**\n\n![uploaded image](/media/?type=post&id=70677&key=user_uploads/6421/e2ad9827-f5fe-432e-990c-38914347924f)\n\nCollaborate directly from webpages. Leave notes, tag teammates, and more. You will no longer need to context switch to other apps or copy paste links to collaborate.\n\n# **Our Ask:**\n\nWant to use LinkGrep for your team? Know a team that would benefit from LinkGrep? Want to invest?\n\nDrop us a line at [founders@linkgrep.com](mailto:founders@linkgrep.com) or schedule a call with us using <https://cal.com/linkgrep>",
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    "year_founded": 2022,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pirros/",
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      "name": "Brad Flora",
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        "user_id": 803898,
        "full_name": "Ari Baranian",
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        "id": 100345,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/pirros/jobs/5uCNuCN-business-development-representative",
        "location": "Los Angeles Office",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$72K - $95K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 100346,
        "title": "Member Technical Staff",
        "url": "https://www.ycombinator.com/companies/pirros/jobs/Sxt60y4-member-technical-staff",
        "location": "Los Angeles Office",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$160K - $210K",
        "equity_range": "",
        "experience": "6+ years",
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    "news": [
      {
        "title": "Pirros, a startup that applies AI to streamline drawing sets for buildings and infrastructure, lands $2 million seed round | VentureBeat",
        "url": "https://venturebeat.com/ai/pirros-a-startup-that-applies-ai-to-streamline-drawing-sets-for-buildings-and-infrastructure-lands-2-million-seed-round/",
        "date": "Aug 31, 2023"
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        "id": 67836,
        "title": "🏗️ Pirros - Detail Management System for Construction Designers",
        "tagline": "Pirros helps structural engineers and architects easily and quickly reference all their company's previous work so that they are never designing the same detail twice. ",
        "body": "Hey YC!\n\nWe're Ari and Peter, co-founders of Pirros. Pirros is a detail management system for structural engineers and architects. Our goal is to make it easier to use the knowledge from previous projects to save time on future projects.\n\n### 😬 **The Problem**\n\nConstruction design companies (structural engineering and architectural firms) are wasting time redesigning the same detailing conditions. \"Details\" are the micro-level blueprints of a construction building, for example a beam to column connection, or a wall assembly (see below). Each construction project has 100s of details, half of which are recreated for each project. 90% of these detailing conditions have been encountered and designed on one of the company's previous projects, the designer just doesn't have easy access to them.\n\n![uploaded image](/media/?type=post&id=67836&key=user_uploads/1099489/4cc5fe6a-4748-482f-b0a0-2928c858a807)\n\n#### ✅ **Our Solution**\n\nOn our platform, companies store the details from all their previous projects in a single cloud-based location (see below). Now, engineers and architects can quickly access any detailing condition just as easily as a google search, instead digging through all their past projects on their file server looking for a needle in a haystack.\n\n![](https://t36258466.p.clickup-attachments.com/t36258466/cc2dcd32-cf02-4184-ae29-8275e69fa288/Website.png)\n\n#### ⚒️ **How it works**\n\nOur software integrates with Revit (the industry standard drawing production software), and extracts each detail and all the metadata associated with it, so that there is enough information automatically stored with each detail to make them searchable. Designers come to our website, search and filter down to find the detailing condition they need for their current project, and then download the detail straight into Revit.\n\n#### 🙏 **The Ask**\n\nWe are continuing to onboard new customers and would love warm intros to structural engineers or architects. Or, if YOU are a structural engineer or architect, please reach out to us and we would love to set up a demo.\n\nThanks!",
        "url": "https://www.ycombinator.com/launches/He8-pirros-detail-management-system-for-construction-designers",
        "votes": 19,
        "created_at": "2022-12-12T18:18:44.778Z"
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    "long_description": "Flower Labs is the world-class AI startup behind Flower, the most popular open-source framework and ecosystem in the world for training AI on distributed data and compute resources using federated learning. Trusted by industry leaders such as Mozilla, Banking Circle, Samsung, Temenos and Bosch, Flower empowers organizations to improve their AI models on sensitive data that remains securely distributed across organizational silos or user devices. In a world where most AI relies on centralized public datasets - just a fraction of the data available - we believe unlocking access to (orders of magnitude more) private data will drive the next breakthroughs in artificial intelligence.\r\nFlower Labs is a Y Combinator (YCW23) graduate and backed by top-tier investors and renowned angels, including Felicis, First Spark Ventures, Mozilla Ventures, Hugging Face CEO Clem Delangue, GitHub Co-Founder Scott Chacon, Factorial Capital, Betaworks, and Pioneer Fund. Together, we are redefining how AI is built, deployed, and scaled for privacy, collaboration, and real-world impact.",
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    "country": null,
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      "name": "Nicolas Dessaigne",
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    "founders": [
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        "user_id": 433179,
        "full_name": "Daniel J. Beutel",
        "title": "Founder",
        "founder_bio": "Daniel is one of the creators of Flower, the first fully agnostic federated learning framework, which is now being used at many Fortune 500 companies and most top universities worldwide. He previously held roles as Head of AI and CTO and has considerable experience in running and scaling engineering teams. Daniel is a CS PhD candidate at the University of Cambridge and has an MSc (with distinction) in Software Engineering from the University of Oxford.",
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        "linkedin_url": "https://www.linkedin.com/in/daniel-janes/",
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        "full_name": "Nic Lane",
        "title": "Founder",
        "founder_bio": "Nic Lane is a co-founder of Flower Labs, and has been working on Flower since its creation. Nic is also a full Professor in Machine Learning Systems at the University of Cambridge . Previously, he has been on the faculty of Oxford and UCL. Nic additionally has 12-years experience in industrial research (including Microsoft Research and Nokia Bell Labs). Most recently as co-founder and Head of the Samsung AI Center in Cambridge; a 50-staff AI lab started in 2018.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/niclane/",
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      {
        "user_id": 266619,
        "full_name": "Taner Topal",
        "title": "Founder",
        "founder_bio": "Taner is one of the creators of Flower, the first fully agnostic federated learning framework, which is now being used at many Fortune 500 companies and most top universities worldwide. He previously held roles as Head of Engineering and CTO in two prior startups. Some companies using products he helped build include Porsche, Lufthansa, and Vattenfall. Taner is also a Visiting Researcher at the University of Cambridge.",
        "is_active": true,
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    "news": [
      {
        "title": "AI startup aimed at 'federated learning' Flower Labs valued at $100 million following venture capital deal | Fortune",
        "url": "https://fortune.com/2024/02/15/flower-labs-federated-learning-pioneer-valued-at-100-million-in-venture-capital-funding-round/",
        "date": "Feb 15, 2024"
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    "launches": [
      {
        "id": 69921,
        "title": "Flower: Train AI on distributed data",
        "tagline": "Meet 🌼 Flower, the Friendly Federated Learning Framework",
        "body": "Hi everyone - we're Daniel, Taner, and Nic, and we're excited to introduce [Flower](https://flower.ai/?utm_source=yc&utm_medium=tagline&utm_campaign=yclaunch):\n\n**TL;DR 🌼 Flower is an open-source framework for training AI on distributed data using federated learning. Companies like Brave, Banking Circle, and Nokia use us to improve their models with sensitive data that they could not leverage before.**\n\n→ Before you continue: [give us a star on GitHub](https://github.com/adap/flower) ⭐️\n\n### Problem: What's holding AI back?\n\nAlmost all of the AI breakthroughs you know of — from ChatGPT and Google Translate to DALL·E and Stable Diffusion — were trained with public data available on the web. **Conventional machine learning needs all data collected in a central place, the motto has always been to “move the data to the computation**.**”** This approach has given us some impressive results, but we are seeing those advances struggle to make their way into other important areas, like healthcare.\n\n![uploaded image](/media/?type=post&id=69921&key=user_uploads/433179/d7d5559b-1a93-43ee-8b87-79472c59b0bb)\n\nWhy is that? The reason is simple: most data is sensitive and distributed across organizational silos or user devices. It cannot be collected in a central place, which prevents us from training state-of-the-art models for many important use cases:\n\n* **👩‍🎨 Generative AI:** Many scenarios require sensitive data that users or organizations are reluctant to upload to the cloud.\n* **❤️‍🩹 Healthcare:** We have excellent AI model architectures, and we could train cancer detection models better than any doctor in the world, but no single organization has enough data\n* **🏦 Finance:** Preventing financial fraud is hard because individual banks face data regulations, and in isolation, they don't have enough fraud cases to train good models\n* **🏎️ Automotive:** Autonomous driving could transform our lives, but, again, individual car makers struggle to gather the data to cover the long tail of possible edge cases\n* **💻 Personal computing:** Users don't want certain kinds of data to be stored in the cloud, hence the recent success of privacy-enhancing alternatives like the Signal messenger or the Brave browser\n* **📚 Foundation models:** The more and the more diverse data we have to train foundation models, the better they generalize. But again, most data is sensitive and thus can't be incorporated as these models continue to grow bigger and need more information.\n\n### Solution: Federated learning (and other PETs)\n\n**Federated learning can train AI models on distributed and sensitive data by moving the training to the data (instead of moving the data to the training); it just collects the insights from the learning process, and the data stays where it is.** And because the data never moves, we can train AI on sensitive data spread across organizational silos or user devices to improve models with data that could never be leveraged until now.\n\n![uploaded image](/media/?type=post&id=69921&key=user_uploads/433179/75358693-c54c-4e64-ae5a-25af3c70a8f8)\n\nThis is, of course, more challenging: we must move AI models to data silos or user devices, train locally, send updated models back, aggregate them, and repeat. **Flower provides the open-source infrastructure to easily use federated learning (and other privacy-enhancing technologies - or short: PETs) with all the tools you know and love today - PyTorch, TensorFlow, JAX, Hugging Face, fastai, Weights & Biases - just bring your existing project, and easily “federate” it using Flower.**\n\n![uploaded image](/media/?type=post&id=69921&key=user_uploads/433179/90196c7c-dddb-4b48-9d54-d9d6689b60c0)\n\n### Asks: How can you help?\n\n* [Give us a star on GitHub](https://github.com/adap/flower) ⭐️ (if you haven't done so already)\n* **Are you (or someone you know) facing challenges in getting the data you need to train good AI models? We’d love to talk:** [**founders@flower.ai**](https://mailto:founders@flower.ai)\n* [Take the tutorial](https://flower.ai/docs/tutorial/Flower-0-What-is-FL.html?utm_source=yc&utm_medium=asks&utm_campaign=yclaunch) to learn federated learning in 10 minutes (and give us feedback on how to improve it to make it easier to understand → [founders@flower.ai](https://mailto:founders@flower.ai))\n* [Join the Flower community on Slack](https://flower.ai/join-slack/?utm_source=yc&utm_medium=asks&utm_campaign=yclaunch)\n* Interested in working with us? [Sign up for the Flower Next Pilot Program](https://flower.ai/flower-next-pilot-program/?utm_source=yc&utm_medium=asks&utm_campaign=yclaunch)",
        "url": "https://www.ycombinator.com/launches/IBl-flower-train-ai-on-distributed-data",
        "votes": 112,
        "created_at": "2023-03-03T18:40:08.579Z"
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    "id": 27839,
    "name": "Cosine",
    "slug": "cosine",
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    "year_founded": 2022,
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    "country": "GB",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "user_id": 963616,
        "full_name": "Alistair Pullen",
        "title": "Founder",
        "founder_bio": "Full-stack Software Engineer with 15 years experience with deep applied knowledge of LLMs and Embeddings. Currently building an AI dev tool. Experienced an exit with Fancy (YC S20, acq. GoPuff).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alistair-pullen-616129226/",
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      {
        "user_id": 797223,
        "full_name": "Yang Li",
        "title": "Founder",
        "founder_bio": "1 IPO, 2 Acquisitions, 3 Unicorns.  Ex VP of Europe for Digital Currency Group's consumer arm, Luno. Launched Ziglu (acquired by Robinhood) and scaled to 100,000 customers in the first year. Previously Commercial Director for Mobike (acquired by Meituan) growing it to 220M MAUs until the $55B IPO. Yang is one of the 2021 Forbes 30 under 30 cohort.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yangli92/",
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        "id": 85658,
        "title": "Software Engineer, Cloud Infrastructure",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/NbfI6HD-software-engineer-cloud-infrastructure",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "£50 - £90 GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Go",
          "Google Cloud",
          "Kubernetes",
          "Python",
          "Linux",
          "Docker"
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      },
      {
        "id": 85769,
        "title": "Senior Platform Engineer",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/dUj3uLp-senior-platform-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "£75K - £100K GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 85770,
        "title": "Senior Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/yBOX3vI-senior-infrastructure-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "£75K - £100K GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 85772,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/9KEolFw-product-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $90K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88029,
        "title": "Senior Developer Evangelist",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/12jJ07r-senior-developer-evangelist",
        "location": "London, England, GB / Remote",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "£60K - £90K GBP",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Move over, Devin: Cosine's Genie takes the AI coding crown | VentureBeat",
        "url": "https://venturebeat.com/programming-development/move-over-devin-cosines-genie-takes-the-ai-coding-crown/",
        "date": "Aug 12, 2024"
      }
    ],
    "launches": [
      {
        "id": 99817,
        "title": "Cosine 3.0  - one coding agent across every surface your team uses",
        "tagline": " (use your existing Claude, OpenAI, Copilot subscription)",
        "body": "\n![uploaded image](/media/?type=post&id=99817&key=user_uploads/797223/28afdae8-76ad-49c1-a761-3e89100fea74)\n\nTLDR: Cosine is built for the point where coding agents usually start to break down: longer tasks, multiple threads of work, team handoff, and code you still need to maintain later.\n\nPS. you can use your Claude Code, OpenAI and Copilot subscriptions (Don’t tell OpenCode or OpenClaw :P )\n\n```\nFor OpenAI and Copilot subscriptions:\nLaunch Cosine CLI \nCtrl+p and choose ChatGPT or Copilot subscription model \nYou'll get redirected to ChatGPT or Copilot website for auth\n\n_____\n\nFor Claude: \nMake sure you have a Claude Pro or Max subscription and have it installed on your local environment\n\nInstall the Cosine CLI — cosine.sh/cli (mac, windows and Linux supported)\n\nCtrl+p and choose the Claude Max Subscription (it works with both Claude pro and max)\n\nYour Claude Code subscription is recognised automatically — Cosine uses the actual Claude Code binary, so no API key needed\n\nRun cos in any repo — your Claude subscription quota is used directly, no extra Cosine billing for model usage)\n```\n\n<https://youtu.be/F61PCXvXd3Y>\n\n**More info:**\n\nIf you’re already deep into AI coding tools, you probably know the feeling:\n\nYou start with quick wins in terminal, then pretty soon you want the same speed on bigger tasks, across more than one thread of work, without losing track of what the agent is actually doing or ending up with code your team has to clean up later.\n\nThat’s basically why we built Cosine 3.0\n\nCosine is one coding agent across CLI, VS Code, desktop, and cloud. So you can start with a quick local task, pick it up somewhere else later, or spin up parallel agents when the job gets bigger, without hopping between separate tools or losing context.\n\nWhat we kept caring about as we built it was pretty simple:\n\nWe wanted something that still feels fast and direct, but gives you more visibility and more control once the work stops being a toy problem.\n\nSo you can inspect changes properly.\n\nSo you can follow what happened.\n\nSo you can undo things cleanly.\n\nSo you can run multiple threads of work when one agent is not enough.\n\nSo the whole thing still makes sense when other people on your team have to touch the code.\n\nA lot of tools feel great right up until you want them to do more than one thing, in more than one place, on code that actually matters.\n\nWe wanted to build the version that keeps working after that point.",
        "url": "https://www.ycombinator.com/launches/Pxx-cosine-3-0-one-coding-agent-across-every-surface-your-team-uses",
        "votes": 5,
        "created_at": "2026-04-16T15:03:34.648Z"
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    "id": 27840,
    "name": "Alloy",
    "slug": "alloy",
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    "all_locations": "Sydney, NSW, Australia",
    "long_description": "Alloy is an AI prototyping tool for product managers. Clone any page of your live product with the Chrome extension to turn ideas, wireframes, and Figma designs into interactive, high-fidelity prototypes your team and customers understand. Alloy's Cloud Agent connects to your codebase and takes changes from prototype to production, and its AI chat can redesign any existing website. Design to code, no engineers required.",
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    "subindustry": "B2B -> Productivity",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "The co-founders ([Simon Kubica](https://simonkubica.com) and [Christian Iacullo](https://christianiacullo.com)) met in Sydney in 2016 through mutual friends. We were toying with the idea of starting a company at that point, but felt we still had a lot to learn from all of the tech companies springing up around us. Christian went to Canva, Simon went to Atlassian, and we spent about 5 years at each. Both companies turned out to be rocketships, building our skillsets and helping us grow through all of the talented people around us. Reflecting on our experiences in both companies, one of the clearest burning problems was how painful and fragmented planning was. So seven years later, we finally saw the opportunity to bring a product of our own into the world, starting with Index and then following up with our second product, [Alloy](https://alloy.app)."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "We’re building Alloy which is the first AI Prototyping tool for Product Managers. It’s tailored to professional product teams (rather than hobbyists) and builds prototypes that look exactly like your product. We just launched our [website cloner](https://alloy.app/website-cloner) this week to make it even easier for anyone to start with their existing UI, rather than recreating it from scratch."
      }
    ],
    "url": "https://www.ycombinator.com/companies/alloy",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/alloy.json",
    "year_founded": 2023,
    "city": "Sydney",
    "country": "AU",
    "linkedin_url": "https://www.linkedin.com/company/alloyprototyping",
    "x_url": "https://x.com/alloyapp",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1045840,
        "full_name": "Simon Kubica",
        "title": "Founder",
        "founder_bio": "Simon Kubica is an Australian entrepreneur and the co-founder and CEO of Alloy, one of the few Australian companies ever accepted into Y Combinator. He has featured in Forbes and Business Insider, and was previously a product leader at Atlassian, working on Jira, Forge, and new products and platforms.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/simonkubica",
        "x_url": "https://twitter.com/simonkubica",
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      },
      {
        "user_id": 1162739,
        "full_name": "Christian Iacullo",
        "title": "Founder",
        "founder_bio": "Christian Iacullo is an Australian software engineer who is the co-founder and CTO of Alloy. Before founding Alloy, Christian was a software engineer at Canva, where he worked on their Editor, Developer Platform, Education and Collaboration products. Christian began his career at Atlassian, where he worked on Confluence.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christian-iacullo",
        "x_url": "https://twitter.com/iaculch",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9dacab862215f7a3ecd04c6cd57fa79284e1dfb.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "SaaStr AI App of The Week: Alloy — AI Prototyping Tool",
        "url": "https://www.saastr.com/saastr-ai-app-of-the-week-alloy-the-ai-prototyping-tool-that-actually-looks-like-your-product-not-some-generic-app-builder/",
        "date": "Oct 18, 2025"
      },
      {
        "title": "Alloy (prev Index) lands $3.5m seed round from Blackbird and Bain Capital Ventures",
        "url": "https://www.forbes.com.au/news/innovation/index-lands-3-5m-seed-round-from-blackbird-and-bain/",
        "date": "Feb 11, 2025"
      },
      {
        "title": "Canva and Atlassian alumni raise $3.5 million Seed round for their product management startup",
        "url": "https://www.startupdaily.net/topic/funding/canva-and-atlassian-alumni-raise-3-5-million-seed-round-for-their-product-management-startup/",
        "date": "Feb 11, 2025"
      },
      {
        "title": "Simon Kubica speaks with Business Insider on Alloy's $2 Million in Funding for Product Management Tools",
        "url": "https://www.businessinsider.com/index-secures-funding-bain-capital-ventures-product-management-tools-2025-2",
        "date": "Feb 10, 2025"
      }
    ],
    "launches": [
      {
        "id": 109009,
        "title": "Cloud Agents • Alloy",
        "tagline": "Codebase Sessions for Everyone, Not Just Engineers",
        "body": "![uploaded image](/media/?type=post&id=109009&key=user_uploads/1045840/6e090e72-2393-4677-ab33-dde28fb18b8c)\n\n### **Cloud Agents for Product Teams**\n\nAlloy is the world's first [cloud agents platform](https://alloy.app/cloud-agents) built for everyone, not just engineers:\n\n➤ Connect GitHub and run your real codebase in the cloud\\\n➤ Chat to build your feature ideas in minutes\\\n➤ View a direct preview, not a pixelated video stream\\\n➤ Push code and open a pull request in one click\n\n### **The story behind cloud agents**\n\nHey! I'm Simon Kubica, CEO of Alloy. I co-founded the company with Christian Iacullo after our time working at Canva and Atlassian. We founded the company with one mission: give product leaders new superpowers.\n\nWe started with prototypes that look exactly like your product, captured from the browser. But we kept hearing the same thing from our users: the prototype was never the finish line. The moment something looked right, PMs wanted it in the real product — and that meant handing it back to engineering and starting over.\n\nThe problem is that cloud agents today are built for engineers. Cursor, Devin, and Claude Code are powerful, but they assume you can configure environments, read diffs, and live in a terminal or IDE.\n\nWe felt that going from idea to pull request shouldn't require a development environment.\n\nSo starting today, it doesn't.\n\n### Get started with Cloud Agents\n\nWith cloud agents, you build with your actual codebase in the cloud: describe a change in chat, click through a live preview of your real app (not a pixelated remote desktop), share the session with a link, and open a pull request your engineers review in GitHub like any other change. Early users like [Rallied](https://rallied.ai/) and are already using Cloud Agents to ship PM-built prototypes directly to production.\n\nToday we're launching cloud agents to the YC community. Just visit the Alloy website to get started!",
        "url": "https://www.ycombinator.com/launches/SMD-cloud-agents-alloy",
        "votes": 6,
        "created_at": "2026-08-04T14:29:27.961Z"
      },
      {
        "id": 95014,
        "title": "Alloy · AI Prototyping for Product Managers",
        "tagline": "Prototype with your real product",
        "body": "![uploaded image](/media/?type=post&id=95014&key=user_uploads/1045840/a045e46f-3258-44e5-aca1-be340830028c)\n\n### **AI prototyping for product teams**\n\nAlloy is the world’s first tool for prototypes that look exactly like your product:\n\n➤ Capture your existing product from the browser in one click\\\n➤ Chat to build your feature ideas in minutes\\\n➤ Share a link with teammates and customers\\\n➤ 30+ integrations: Linear, Notion, Jira Product Discovery, and more\n\n### **Get started in 30 seconds**\n\nChoose the starting point that suits your team best:\n\n* Use our [website cloner](https://alloy.app/website-cloner) to capture any public page\n* Add the [browser extension](https://chromewebstore.google.com/detail/alloy-%C2%B7-ai-prototyping-fo/phenpkgkiaibdlfgllchgfhdfiephpdi?hl=en) for logged-in pages\n* Start with [cloud agents](https://alloy.app/cloud-agents) to use your codebase directly\n\n### **The story behind Alloy**\n\nHey! I’m Simon Kubica , CEO of Alloy. I co-founded the company with Christian Iacullo after our time working at Canva and Atlassian. We founded the company with one mission: give product leaders new superpowers.\n\nInitially, we focused on the workflow of planning and prioritization. But with AI, we started to notice PMs could finally _do_ the work, rather than just plan it. We completely re-oriented the company to build a dedicated tool for this new PM workflow.\n\nThe problem is that even with new AI app builder tools, PMs are struggling with off-brand prototypes. Using chat to prototype is powerful, but the outputs didn’t look anything like their existing app.\n\nWe felt that your prototypes should look like your actual product.\n\nSo starting today, they actually can.\n\n### **The [best AI prototyping tool](https://alloy.app/library/best-ai-prototyping-tools) of 2026**\n\n![uploaded image](/media/?type=post&id=95014&key=user_uploads/1045840/349afb11-0231-4544-a718-7db1eefa603c)\n\nProduct leaders at top companies have signed up shockingly fast:\\\n➤ 42% of the Forbes Cloud 100 \\\n➤ 17% of the Fortune 500\\\n➤ Growing usage at Harvey, Hubspot, Canva, SeatGeek, Linktree, and thousands more\n\nToday we’re launching to bring the power of Alloy to the YC community. We couldn’t be more excited to hear what you think!\n\nWe couldn’t be more excited to hear what you think!\n\n_Updated August 4, 2026_",
        "url": "https://www.ycombinator.com/launches/OiU-alloy-ai-prototyping-for-product-managers",
        "votes": 28,
        "created_at": "2025-10-29T21:21:57.629Z"
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  },
  {
    "id": 27841,
    "name": "Bujeti",
    "slug": "bujeti",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/62a7ef894596096ec275d7930a661da71c364631.png",
    "website": "https://www.bujeti.com",
    "all_locations": "Paris, Île-de-France, France; Remote",
    "long_description": "Control spending, process payments, manage payroll, and multi-currency operations with approval workflows, total visibility and control, from one unified platform",
    "one_liner": "The Finance Control Centre for African Businesses",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1673189707,
    "tags": [
      "Fintech",
      "SaaS",
      "Payments",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Finance and Accounting"
    ],
    "regions": [
      "France",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bujeti",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/bujeti.json",
    "year_founded": 2021,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/bujeti",
    "x_url": "https://twitter.com/Bujetihq",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/62a7ef894596096ec275d7930a661da71c364631.png",
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 156795,
        "full_name": "Achille AROUKO",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/achille-arouko",
        "x_url": "https://twitter.com/alekaizer",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01307d9c3411ba249b3b7b3fabc88b74d656b1ea.jpg"
      },
      {
        "user_id": 882789,
        "full_name": "Samy Chiba",
        "title": "Founder",
        "founder_bio": "COO at Bujeti ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samychiba/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d565bd8ec98695b5319331f901c48d289a0247a.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Bujeti launches AI agents to automate routine finance work",
        "url": "https://techcabal.com/2026/09/16/bujeti-launches-ai-agents-to-handle-finance-work/",
        "date": "Sep 16, 2026"
      },
      {
        "title": "Bujeti launches payroll to drive financial control for African businesses | TechCabal",
        "url": "https://techcabal.com/2026/05/21/bujeti-payroll-for-african-businesses/",
        "date": "May 21, 2026"
      },
      {
        "title": "Bujeti launches tax management solution as Nigeria's reforms shape | Business Insider Africa",
        "url": "https://africa.businessinsider.com/local/markets/bujeti-launches-tax-management-solution-as-nigerias-reforms-shape/yegcdn1",
        "date": "Feb 12, 2026"
      },
      {
        "title": "Bujeti to Power Financial Inclusion for 10M Nigerians",
        "url": "https://punchng.com/bujeti-signs-partnership-with-presidential-committee-to-power-financial-inclusion-for-10-million-nigerians/",
        "date": "Feb 06, 2026"
      },
      {
        "title": "YC-backed fintech Bujeti raises $2M for its corporate cards and spend management platform | TechCrunch",
        "url": "https://techcrunch.com/2023/12/07/yc-backed-fintech-bujeti-raises-2m-for-its-corporate-cards-and-spend-management-platform/",
        "date": "Dec 07, 2023"
      }
    ],
    "launches": [
      {
        "id": 69607,
        "title": "💳📈 Bujeti - Corporate cards and expense management platform for African businesses",
        "tagline": "We help African businesses issue corporate cards, control and manage their expenses",
        "body": "**TL;DR:** We help African businesses in industries such as Healthcare, Logistics, Agriculture and Construction easily issue corporate cards to their employees and contractors to streamline their spendings. We help them control and manage their expenses by setting up spending limits, restrictions and approval flows for their decisions makers, staff and suppliers.\n\n## **Who are we?**\n\nHello everyone, we are Achille and Samy from [Bujeti](https://www.bujeti.com)\n\n🧠 [Achille](https://www.linkedin.com/in/achille-arouko): Drives ideas and make things come to life. 8yoe engineer, 3+ years at [Paystack](https://paystack.com), and 3x founder in Fintech and AI.\n\n🧠 [Samy](https://www.linkedin.com/in/samychiba/): He keeps us compliant and makes operations go smoothly. 2 MsC in Business Administration, 2 years at Ariane Group, former ceo SmartSoft Europe.\n\n![uploaded image](/media/?type=post&id=69607&key=user_uploads/156795/e5c7ef67-82e9-4d84-b95d-7bc5b2190f28)\n\n# **What is a corporate card and why is it hard to get one in Africa?**\n\nA corporate card is a debit or credit card issue by a business to its employees, generally issued to upper management (CXO, Accountants, Team Managers, etc.) and a select number of employees to make payments on behalf of the company.\\\nIn the US and EU, bank card penetration is very high and the process for businesses to get multiple cards from their banks is pretty straightforward— but in Africa where card penetration is still low, getting a card for a business isn’t as straightforward as it should be, much less for multiple cards.\n\nThis is an even a bigger problem for traditional businesses in industries like Agriculture, Logistics, Healthcare, Construction— businesses that are not tech heavy, but contribute to a big part of the GDP of most of African nations. To go around that, businesses generally have one card that they pass around which causes a lot of security, control and fraud issues.\n\n![uploaded image](/media/?type=post&id=69607&key=user_uploads/156795/062f9c7e-3473-43c3-a797-c4dfc1932fd1)\n\n# **How do we fix it?**\n\nTo help fix that problem and allow African businesses to issue cards at will to their employees, while maintaining the control of their spendings, we launched Bujeti, an all-in-one corporate cards and expenses management platform.\n\nWe also help them:\n\n* **Budget** their expenditures to keep their finances afloat\n* **Monitor** and **track** all the expenses made in the company\n* Facilitate **receipts** tracking and collection\n* Automate **Account Payables & Receivables**\n* Set up **spending limits and approval** flow to make sure the resources are well used and create value\n* **Reimburse** out of pocket expenses of their employees\n* **Run payroll**\n* Integrate their **accounting softwares**(QuickBooks, Xero, etc…)\n* Automate **reconciliation** and **reporting**\n\n![uploaded image](/media/?type=post&id=69607&key=user_uploads/156795/43997f82-7bf2-4595-a226-48eccb71c0db)\n\n# **How did we get here?**\n\nAchille wanted to build a personal finance and expenses management app for the African Diaspora that helps automate remittances while keeping an eye on how money sent back home was being spent. While building that, he realized the problem he was trying to solve for individuals, was in fact a problem that also affected businesses. That’s when we pivoted from B2C to B2B to solve expense management issues for African businesses.\n\n# **Our ask 🙏🏾**\n\n* Connect us to **CFO, Accountants, Country Managers** and **HR** leaders that operate in Africa in your network\n* Connect us to an African Logistics, Construction, Healthcare, Agriculture company in your network\n* Connect us VISA or Mastercard\n* Connect us to your CFO or Accountant to help us understand even better their needs and improve our offering\n* Share our post on your social media to help us increase awareness 🚀",
        "url": "https://www.ycombinator.com/launches/I6h-bujeti-corporate-cards-and-expense-management-platform-for-african-businesses",
        "votes": 47,
        "created_at": "2023-02-23T17:48:51.970Z"
      }
    ]
  },
  {
    "id": 27843,
    "name": "Gooseworks",
    "slug": "gooseworks",
    "former_names": [
      "Magik Labs",
      "Magik Labs - Fast Web3 Checkout",
      "Magik Labs - Fast NFT Checkout",
      "Magik Labs",
      "Magik",
      "Athina AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be25b5e55711ba973cd7f6c514b56a10ab3da20e.png",
    "website": "https://gooseworks.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Goose is an AI marketing brain that understands your company's marketing context deeply and makes it accessible to agents. \r\n\r\nWe index your existing materials — videos, product shots, testimonials, ad performance data — into a context layer that AI agents can then use to make creatives, webpages, write emails, social content and more.\r\n\r\nThe engine compounds: the agent learns from campaign performance, competitors, trends, and human feedback, so your creative gets better every month.",
    "one_liner": "Self-Improving Marketing Harness",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1667592357,
    "tags": [
      "Video",
      "Marketing",
      "Advertising",
      "AI"
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    "isHiring": true,
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    "batch": "Winter 2023",
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    "regions": [
      "United States of America",
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      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/gooseworks",
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gooseworks-ai",
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      "name": "Brad Flora",
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        "user_id": 739633,
        "full_name": "Himanshu Bamoria",
        "title": "Founder",
        "founder_bio": "Co-founder, Gooseworks AI (https://gooseworks.ai) - building creative engines for AI ads.\n\nPreviously co-founded Athina AI – an LLM engineering platform used by teams at Perplexity, Doximity, and Avalere Health.\n\nEarlier, scaled a startup from 0 → $8M in revenue.",
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      {
        "user_id": 731066,
        "full_name": "Shiv Sakhuja",
        "title": "Founder",
        "founder_bio": "Co-founder, Gooseworks AI (https://gooseworks.ai) - building creative engines for AI ads.\n\nPreviously co-founded Athina AI (https://athina.ai), an LLM observability and evaluation platform used by AI teams at Perplexity, Doximity, You.com, Meesho, PhysicsWallah and hundreds of other teams.\n\nContent creator - got 20M+ impressions and 70k+ followers in 1 year.\nPreviously worked as an engineer at Google and Troops.ai (acq. by Salesforce), building natural language Slack chatbots for work.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shivsakhuja/",
        "x_url": "https://twitter.com/shivsakhuja",
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    ],
    "jobs": [
      {
        "id": 104690,
        "title": "Founding Engineer / Builder",
        "url": "https://www.ycombinator.com/companies/gooseworks/jobs/UJ4vH2F-founding-engineer-builder",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 104914,
        "title": "Founding Creative Engineer",
        "url": "https://www.ycombinator.com/companies/gooseworks/jobs/rfgY8La-founding-creative-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 109409,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/gooseworks/jobs/XZRrah7-design-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$50K - $200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "React",
          "Figma"
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      }
    ],
    "news": [],
    "launches": [
      {
        "id": 81492,
        "title": "Athina IDE: Experiment with AI pipelines in a spreadsheet-like UI",
        "tagline": "A collaborative editor for teams to prototype, evaluate, and experiment with AI pipelines",
        "body": "## **_TLDR; Athina IDE is a collaborative editor for teams to prototype, evaluate, and experiment with AI pipelines in a spreadsheet-like UI 🧪_**\n\n### 😢 The Problem\n\nBuilding AI-powered features comes with lots of new challenges:\n\n1\\. It's hard to evaluate and compare the quality of retrievals and responses.\n\n2\\. Non-technical users like PMs cannot prototype pipelines or run experiments effectively, creating a bottleneck on engineers.\n\n3\\. Managing experimenting is messy, requiring teams to maintain scripts and spreadsheets.\n\n.\n\n.\n\n### 😁 The Solution: Athina IDE\n\n**🧪 Athina IDE is a collaborative editor for AI teams to prototype, evaluate, and experiment with AI pipelines in a spreadsheet-like UI.**\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/d86504e7-ba8e-4b65-a872-a0dafeabfa0b)\n\n.\n\n### 🎯 Core Philosophies\n\n
**1\\. Great AI products are a team effort:** PMs, Data Scientists, SWEs, MLEs, QA teams, etc., all have to come together to build something great

\n\n...so we made sure that **_non-technical users could experiment, prototype, and run tests on Athina just as easily as technical users._**


\n\n**2\\. Great AI products are built around great data**

\n\nThis is why the entire editor revolves around your data and gives you powerful controls like a spreadsheet.\n\n.\n\n.\n\n### _What can you do with Athina IDE?_\n\n.\n\n## **✨ Prototype Complex Pipelines with Dynamic Columns ✨**\n\n![](https://athina.ai/develop/prototype.png)\n\n**⚡️ Dynamic Columns** in Athina IDE let you prototype complex pipelines in a UI that feels like a spreadsheet. Dynamic columns can be used to:\n\n* Run prompts\n* Execute code\n* Retrieve data from a vector DB\n* Make API calls\n* Classify text / extract entities\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/1a18b5ba-2b6a-4a41-b5d5-7c702af3bd2d)\n\n.\n\n## **Run Evaluations**\n\nPlug in any eval from our library of over **50+ preset evals**, or use custom evals. Run evaluations in seconds with just a few clicks.\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/9288258e-9ce9-4e65-9f16-8de55405807c)\n\n.\n\n## **Run Experiments**\n\nIn just a few clicks, anyone can experiment with a different prompt, model, or retriever.\n\nIf you are technical, you can run even more powerful experiments.\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/7694a57b-ab7d-4444-b568-a2eb2944d503)\n\n.\n\n##### **Compare Everything Side-by-Side**\n\n* Compare datasets side-by-side with an optional diff-view!\n* Run evaluations on multiple datasets simultaneously and compare metrics!\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/131fe29f-828d-48d5-aae7-f9f7a470c9ce)\n\n.\n\n## **How can you use it?**\n\nYou can start using Athina IDE for free!\n\n* Create an account at <https://app.athina.ai> and go to the **Develop** tab.\n* For a personal demo and to learn more about how Athina IDE can accelerate your AI development, book a demo with us: <https://cal.com/shiv-athina/30min>.",
        "url": "https://www.ycombinator.com/launches/LCO-athina-ide-experiment-with-ai-pipelines-in-a-spreadsheet-like-ui",
        "votes": 33,
        "created_at": "2024-06-13T20:09:26.820Z"
      },
      {
        "id": 77263,
        "title": "Athina AI: The Ultimate Monitoring and Evaluation Platform for LLM Developers",
        "tagline": "A suite of tools to supercharge LLM development and help you ship high-performing, reliable AI applications",
        "body": "### **TL;DR: Athina helps you monitor and evaluate your LLM powered app. Plug and play evals in production. 5 minute setup.**\n\n—-\n\n👋 Hey everyone! We’re thrilled to announce the launch of [Athina AI](https://docs.athina.ai/), a suite of tools for LLM developers to ship and develop AI products with confidence.\n\n### What is Athina AI?\n\nAthina AI is a **Monitoring & Evaluation platform** for LLM developers.\n\n![uploaded image](/media/?type=post&id=77263&key=user_uploads/731066/30a27eb5-a787-46d2-8420-cb2c30da24e2)\n\nDevelopers use Athina’s evaluation framework and production monitoring platform to improve the performance and reliability of AI applications through real-time monitoring, analytics, and automatic evaluations.\n\n### 🔴 The Problem\n\n* It is difficult to measure the quality of Generative AI responses.\n* Eyeballing responses is tedious, leading to slow development cycles\n* No easy way to detect unreliable or bad outputs (especially in production).\n* Difficult to make changes to prompt or retrieval pipeline with confidence without introducing regressions.\n* Poor visibility into all the steps in your LLM inference pipeline\n\nLLM developers typically have to build and maintain lots of in-house infrastructure for monitoring and evaluation.\n\n### 🟢 Our Solution: Athina AI\n\n[Athina](https://docs.athina.ai) is a comprehensive suite of tools to supercharge your LLM development lifecycle and help you ship high-performing, reliable AI applications with confidence.\n\n* **Quick Setup**: [Get started](https://docs.athina.ai/logging/log_via_api) in just 5 minutes! The entire integration is 1 simple POST request _(and we don’t interfere with your LLM calls)_\n* **Comprehensive Monitoring Platform**: Full visibility into your LLM touchpoints. Search, sort, filter, compare, debug.\n* **Prebuilt Evaluations**:\n  * You can configure automatic evaluations in just a few clicks - use one of our preset evals or define a custom eval.\n  * These evals will run against logged inferences automatically.\n  * You can also use our [**open-source library**](http://github.com/athina-ai/athina-evals) to run evals and iterate rapidly during development.\n* **Granular Analytics**:\n  * Tracks usage metrics like response time, cost, token usage, feedback, and more.\n  * Athina also track metrics from the evals, like Faithfulness, Answer Relevance, Context Sufficiency, etc\n  * You can segment these metrics by any property: customer ID, environment, model, prompt, etc.\n  * For example, you could use Athina to see how **prompt/v4** is performing for customer ID **nike-usa** and how **gpt-4** performance compares to a **llama-finetune**.\n\n**Who is this for?**\n\nAthina is designed for developers building AI products.\n\nIf you’re in the prototyping or development stage, you can use Athina to get visibility and [rapidly test](https://docs.athina.ai/evals/develop_dashboard) the LLM generated responses.\n\n![](https://docs.athina.ai/develop-ui-results.png)\n\nIf you have launched your AI in production, you can use Athina to monitor and evaluate your LLM in production.\n\n### 🌟 Our Story\n\nAs a team of engineers and hackers, we spent a summer trying to build various LLM-powered applications for developers.\n\nWhile working with LLMs, we found that the most challenging part was evaluating the Generative AI output and systematically improving model performance.\n\nOn speaking with other AI developers, we discovered a major gap in the tools that engineers need to effectively build production grade applications using LLMs, and set out to solve this problem.\n\n### 🚀 Get Started\n\nAthina AI is a comprehensive suite of tools to supercharge your LLM development lifecycle and help you ship high-performing, reliable AI applications with confidence.\n\nHere’s how you can get started:\n\n* 🌟 Sign up for a free account at [app.athina.ai](https://bookface.ycombinator.com/knowledge/Eq-launch-yc#compose-your-launch-yc-post)\n* Log your inferences using [this guide](http://docs.athina.ai/logging/log_via_api).\n* Try our [open source evals](http://github.com/athina-ai/athina-evals).\n* [Schedule](https://cal.com/shiv-athina/30min) a call with us",
        "url": "https://www.ycombinator.com/launches/K6B-athina-ai-the-ultimate-monitoring-and-evaluation-platform-for-llm-developers",
        "votes": 28,
        "created_at": "2024-01-09T17:07:26.255Z"
      }
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  },
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    "id": 27844,
    "name": "Cloudchipr",
    "slug": "cloudchipr",
    "former_names": [
      "Cloudchipr Inc"
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    "website": "https://cloudchipr.com/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Cloudchipr is an actionable FinOps platform that keeps multi-cloud spend under control 24/7 with AI agents.",
    "one_liner": "The #1 Actionable FinOps Platform",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1667473991,
    "tags": [
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      "B2B"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "Germany",
      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/cloudchipr",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/cloudchipr.json",
    "year_founded": 2022,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/cloudchipr",
    "x_url": "https://twitter.com/cloudchipr",
    "fb_url": "https://facebook.com/cloudchipr",
    "cb_url": "https://www.crunchbase.com/organization/cloudchipr",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/96f17fae40f55e74f9d214af11045d8eed8f096f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1159850,
        "full_name": "Ashot Ayvazyan",
        "title": "Founder",
        "founder_bio": "Ashot is an engineer and entrepreneur with a computer science background and 14 years of experience in the design, implementation, and operations of distributed computing systems based on cloud and bare metal infrastructures. Now he is the Co-founder and CEO at Cloudchipr, which helps companies to reduce their cloud costs with infrastructure optimisation automation workflows. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ashotayvazyan/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe6ea3ce3726f0c9fa1ebc05768051bdf61e64d1.jpg"
      },
      {
        "user_id": 1161211,
        "full_name": "Suren Marashlyan",
        "title": "Founder",
        "founder_bio": "Suren is a software engineer and entrepreneur with a math and computer science background. He has 10+ years of experience in computer software design and development. Now he is the Co-founder and VP of Engineering at Cloudchipr, which helps companies to reduce their cloud costs with infrastructure optimization automation workflows.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/surenmarashlyan",
        "x_url": "",
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    "news": [],
    "launches": [
      {
        "id": 69761,
        "title": "Cloudchipr streamlines the cloud operations",
        "tagline": "Cloudchipr - cloud costs observability, management and automation platform",
        "body": "### **TL;DR Instead of wasting runway on the cloud, sweating about your bottom line and limiting your developers, let Cloudchipr take care of optimizing your cloud usage and getting the most out of it.**\n\nHey everyone we are the founders of [Cloudchipr](https://cloudchipr.com/) 🙂\n\n![uploaded image](/media/?type=post&id=69761&key=user_uploads/1159850/9a6a6c4e-e473-4927-823b-28d84a6d8e1f)\n\n**Ashot** (left) managed some of the largest cloud infrastructures in the world. A distributed computing systems and cloud guru, who can smell coffee ☕ and sniff expensive infrastructures 📈 from at least 1000 feet away 😄\n\n**Suren** (right) worked on platforms serving 100,000,000s users from all over the world while at Picsart, AWS and Wayfair. A foodie with the power of Spring Boot as his spirit animal 🐩 😄\n\nWe got a lot of battle scars figuring out what’s the best way to operate your cloud. Now we’ve built Cloudchipr so that you don’t have to! 🚀\n\n### ❌ **The Problem**\n\nAll clouds make it very easy to start using resources. That’s how they are designed and that’s why they won. Problem is, that freedom very quickly turns into a mess eventually hurting the bottom line and becoming an operational hurdle.\n\n**Where it hurts Product and Engineering:**\n\n* Services and resources sprawl out of control across various geographies and cloud regions.\n* Resources get wasted to ensure developer convenience (dev machines run over weekends, holidays and non-working hours alike).\n* Routine operational maintenance becomes a burden and a time consuming activity for expensive DevOps and SRE engineers.\n* Every launched resource in the cloud becomes a monument - once it’s there no one risks to touch and it lingers around forever.\n\n**Where it hurts the Business side:**\n\n* Accountability and trackability becomes an issue: ask any series B (or later stage) company startup CFO how much a particular project costs on a cloud and see them roll their eyes.\n* Cloud is treated as a black box. Although being one of the largest cost centres finance has little visibility into what is actually going on. They are expected to foot the bill with 0 insights or understanding how the money is actually spent.\n* Very hard to forecast spend and act on if it gets out of hand.\n\n### **🪄 The Solution**\n\nWatch our [Demo Video](https://www.youtube.com/watch?v=0QLy74eGnLg)\n\nCloudchipr is an AWS qualified SaaS platform (we also support GCP and Azure) which provides a suite of powerful tools for cost tracking, resource management, and automation. It simplifies cloud operations, streamlines DevOps workflows while giving financial visibiliy, predictability and control. \n\n✅ **Cost Optimization by granular cost tracking and reporting.** It allows to monitor cloud expenses in real-time and optimize their usage to reduce waste. \n\n✅ **Resource Management:** Cloudchipr provides a centralized dashboard that provides full visibility into their cloud infrastructure across all geographies and cloud regions.\n\n✅ **Automation workflows:** Cloudchipr's automation features enable teams to streamline their DevOps workflows and automate routine operational tasks. With Cloudchipr, businesses can set up notifications and actions based on their criteria and free up valuable time and resources for other important tasks.\n\n**For example:**\n\n* If a resource is underutilized, Cloudchipr will notify the owner to take an action.\n* If there are resources without an owner, a slack message will be sent.\n* Stops expensive GPU nodes based on configurable usage criteria (e.g. idle more than 3 hours)\n* Stops/Starts the selected dev databases and virtual machines at night and on weekends\n* Takes care about resources being properly tagged.\n\n✅ **LAST BUT NOT LEAST:** It’s 2023, so you should be able to talk to your cloud and your cloud should talk back!  We are launching the first version of **CloudChat -** an interactive Natural-Language interface for querying, reporting and setting automations for your cloud. \n\nCloudchipr automates the cloud cost saving and reporting, and helps the finance and engineering departments save money and time by removing the friction around the costs saving. We do that by automation workflows which constantly check all the cloud resources, take configurable actions and report about the progress.\n\n### **Get started now:**\n\n* Try it for free at [cloudchipr.com](http://cloudchipr.com)",
        "url": "https://www.ycombinator.com/launches/I9B-cloudchipr-streamlines-the-cloud-operations",
        "votes": 888,
        "created_at": "2023-02-28T17:28:41.075Z"
      }
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  },
  {
    "id": 27846,
    "name": "PoloTab",
    "slug": "polotab",
    "former_names": [
      "PoloPay",
      "Polo",
      "PoloPay",
      "Polo"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/125206d3d51ae1a0a9e8a0446836031dcecb557a.png",
    "website": "https://polotab.com",
    "all_locations": "Mexico City, CDMX, Mexico",
    "long_description": "The ecosystem coffee shops and restaurants in Mexico run on.\r\n\r\nFrom point of sale, to inventory management, payments and much more for the most demanding. \r\n\r\nOur tech is as user-friendly as an iPhone, yet powerful enough to power Starbucks. \r\n\r\nPoloTab is led by a team driven by the vision that things should be different, with the skills to make it happen. We were born from the food & beverage industry and are here to make a difference, not merely be part of the crowd.",
    "one_liner": "Restaurant software that actually works",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1673740327,
    "tags": [
      "SaaS",
      "Payments",
      "B2B",
      "Analytics",
      "Food Tech"
    ],
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    "isHiring": true,
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    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "Mexico",
      "Latin America"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/polotab",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/polotab.json",
    "year_founded": 2022,
    "city": "Mexico City",
    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/81905131/admin/",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/polopay",
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    "founders": [
      {
        "user_id": 961325,
        "full_name": "Andres Richardson",
        "title": "Founder",
        "founder_bio": "Co-Founder and COO at PoloPay (W23). Studied industrial engineering at the University of Michigan. Ex-Business Consultant. Enjoys playing and watching sports, traveling, and food.",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/andres-richardson-41411a167",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c33731e5420344de5d69c0ebce4ff4f54fa198ee.jpg"
      },
      {
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        "full_name": "Juan Chomali",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO at Polo (W23). Chilean. Started coding at 12. Mechanical engineer and economist. Ex-Goldman. PNAS published author. Loves mountaineering and cooking.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jchomali",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/249c98b46e938865984b619e80c733ba9ddb4b4a.jpg"
      },
      {
        "user_id": 961294,
        "full_name": "Aldo Piaggio",
        "title": "Founder",
        "founder_bio": "Co-Founder and CEO at Polo (W23). I am a designer, an ex-Goldman Sachs IBD Analyst, and an industrial engineer from the University of Michigan. I love cigars, coffee, and LPs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aldo-piaggio-59227418b",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8820a2841b75bf6466eb2b9090656bdfcbb6fea7.jpg"
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    "jobs": [
      {
        "id": 88479,
        "title": "Sales & Business Development Representative",
        "url": "https://www.ycombinator.com/companies/polotab/jobs/nuykmZk-sales-business-development-representative",
        "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$15K - $72K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115427,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/polotab/jobs/gmucbkK-product-designer",
        "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$1K - $5K / monthly",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Figma",
          "Illustrator"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 70252,
        "title": "🅿️PoloPay - Dynamic menus for LatAm restaurants and coffee shops",
        "tagline": "PoloPay is a dynamic menu, order and payment software for LatAm restaurants and coffee shops.",
        "body": "### ☕️**TL;DR:**\n\nPoloPay is a dynamic menu that allows guests to order food and drinks, split, tip, and pay the bill in seconds helping LatAm restaurants and coffee shops automate manual tasks and increase sales.\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/ea4d9bbb-cb80-4b59-92d7-cf405e76fe79)\n\n### 🌯**Founding Team**\n\nWe are Aldo, Andres, and Juan, the team behind PoloPay!\n\n[Aldo Piaggio](https://www.linkedin.com/in/aldo-piaggio-59227418b/) **(CEO)** is from Honduras, an Industrial Engineer from the University of Michigan with a minor in Economics, passed the CFA Level 1, an ex-Goldman Sachs IBD analyst, designs since the age of 14, and is the third-generation of a family involved in the food & beverage industry since 1972.\n\n[Andres Richardson](https://www.linkedin.com/in/andres-richardson-41411a167/) **(COO)** is from Mexico, a Summa Cum Laude Industrial Engineer from the University of Michigan, and an ex-business consultant whose work ranges from industrial production & logistics optimization to organizational restructuring in various industries.\n\n[Juan Chomali](https://www.linkedin.com/in/jchomali/) **(CTO)** is from Chile, creator of Boreal, the most downloaded and used Hacker News client for iPhone in 2016 until Apple took it down, a Mechanical Engineer and Economist from the University of Michigan, PNAS Co-Author, an ex-Goldman Sachs STRATS, and started coding at the age of 12. \n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/ac91ccc3-b653-4211-8be3-a5f9f80943d9)\n\n### 👨🏼‍🍳**The “Why?”**\n\n**The dining experience** has been the same for decades. You sit down, stare at a menu, look around wondering what others at the venue like, and a few “Uhmmm”s later, staff comes around to take an order you are still not even sure about. Splitting and paying the bill is a tedious waiting game, and tipping staff is close enough to a math exam. **What could be done in a few seconds, takes several minutes.**\n\n**A coffee shop is no different**. Join the line and wait a few minutes until it's your turn to go “Uhmmm”, just like everyone before you. Finally you get to sit down, and start sipping. Did you just run out of that delicious matcha latte? Stand up, and wait on line again!\n\n**What’s frustrating for guests is wasteful for venues.** Restaurants, coffee shops, and hospitality venues alike have seen their margins shrink well before covid, especially small and medium venues. They operate in an industry where costs are highly volatile, staff turnover rate is a staggering 75% (higher than any other industry), and guest preferences are quickly changing. \n\nResources are limited, especially for these venues. **So how does PoloPay help?**\n\n### 🫗**Our approach**\n\nWe built an easy-to-use tool that **restaurants love**. PoloPay improves how teams and staff manage their menus, fulfill orders, and collect payments. \n\n**To help venues sell more,** our QR codes expose guests to beautiful pictures of dishes and the perfect drink pairing. PoloPay makes it as easy as possible to order that next dirty martini while giving staff a breather during peak hours; eliminating unattended parties and decreasing checkout times to seconds. **We seek to perfectly complement the warmth of hospitality.**\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/f79e41b8-9451-48d3-90f1-863eadda2878)\n\n**Are costs increasing?** Venues can adjust menu prices or food offerings, instantly charge for them, and forget the need to spend on reprints or waiting for new menus to arrive. **PoloPay also leverages data** to help capture guests' preferences, identify new areas of opportunity, and surprise guests on their next visit. Automatic language translations, powerful availability and pricing scheduling, 86-ing, and in-menu promos are a few other reasons why chefs, staff, and owners love us.\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/4d22eff1-056e-4079-a89d-0f201144c2a4)\n\nBeautiful experiences are at the core of what we build. We aim to grant guests a seamless experience and give much-needed control back to restaurant teams. We are not “X for LatAm”, **we are PoloPay**.\n\n### 🍽️**Our ask**\n\nIf you, or someone you might know, manages a restaurant or coffee shop, [reach out!](https://polopay.co/demo) **We would love to start working with your venue and would appreciate any warm intros too.** [Sign up](https://polopay.co/demo) before April 1st and enjoy a 50% discount during your first two months!",
        "url": "https://www.ycombinator.com/launches/IH6-polopay-dynamic-menus-for-latam-restaurants-and-coffee-shops",
        "votes": 498,
        "created_at": "2023-03-14T00:58:35.798Z"
      }
    ]
  },
  {
    "id": 27850,
    "name": "Repacket",
    "slug": "repacket",
    "former_names": [
      "0pass Inc.",
      "0pass"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd9ecbe70bee41aabfbd1a47f721272aeeb86502.png",
    "website": "https://repacket.com",
    "all_locations": "Vancouver, BC, Canada",
    "long_description": "90% of security breaches are caused by a simple employee mistake. \r\n\r\nYour employee clicks a bad link, and gives up their password.\r\nThey download ransomware from an email and run it.\r\nThey leak your intellectual property and sensitive customer data to ChatGPT.\r\n\r\nRepacket allows your employees to enjoy the internet without risk - instantly blocking threats like phishing and sensitive data leaks. This gives your employees the ability to make that mistake without impacting your company.\r\n\r\nRepacket is built for smaller companies, who may not have dedicated IT or security people to run the show. We install in 60 seconds and give your employee instant protection where they need it most.\r\n\r\nFounded by cybersecurity leaders from SpaceX, AWS, and Google - we're building the easy button for cybersecurity.",
    "one_liner": "Employee security done for you.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1673479325,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/repacket",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/repacket.json",
    "year_founded": 2021,
    "city": "Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/repacket",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/0pass",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd9ecbe70bee41aabfbd1a47f721272aeeb86502.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1127176,
        "full_name": "Noah Stanford",
        "title": "Founder",
        "founder_bio": "CEO @ repacket.com (previously 0pass.com) | Most recently, I created and led the security team for AWS Cognito. Previously, I created and led the Identity and Authentication team at SpaceX.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pwned",
        "x_url": "https://twitter.com/0x4e53",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3d30f47d23827c8c7c5f17f0bbc95ee69d5d050.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Y Combinator-backed 0pass seeks to replace passwords in the enterprise | TechCrunch",
        "url": "https://techcrunch.com/2023/06/27/y-combinator-backed-0pass-seeks-to-replace-passwords-in-the-enterprise/",
        "date": "Jun 27, 2023"
      }
    ],
    "launches": []
  },
  {
    "id": 27852,
    "name": "Frigade",
    "slug": "frigade",
    "former_names": [
      "Ombord"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ebf166f7f6e8f6d186e2ea4a16a6cf16becaf7b.png",
    "website": "https://frigade.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Frigade AI is an in-app assistant that intelligently guides and onboards your users through your product. Our agent learns your product's interface, gives contextual guidance that adapts to each user, and takes actions directly on your users' behalf.\r\n\r\nLearn more at Frigade.com",
    "one_liner": "AI-powered product assistance for modern software teams",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1672157010,
    "tags": [
      "SaaS",
      "Customer Success",
      "Customer Service",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/frigade",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/frigade.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/frigade",
    "x_url": "https://twitter.com/FrigadeHQ",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/FrigadeHQ",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ebf166f7f6e8f6d186e2ea4a16a6cf16becaf7b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 123251,
        "full_name": "Eric Brownrout",
        "title": "Founder",
        "founder_bio": "Eric is the co-founder and CEO of Frigade. Before founding Frigade, Eric co-founded Perform, a mobile app to help runners reach their goals through a combination of AI and 1:1 human coaching. Prior to that, he worked in product management at Digit where he helped launch an AI-powered mobile banking app and at LinkedIn where he managed an intelligent communications platform for notifications and email.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ebrownrout/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/372320b943518c5b75b9176dedc464f4cf241e83.jpg"
      },
      {
        "user_id": 265839,
        "full_name": "Christian Mathiesen",
        "title": "Founder",
        "founder_bio": "Christian is the co-founder and CTO of Frigade. Before founding Frigade, Christian co-founded Perform, a platform to help runners reach their goals through a combination of AI and 1:1 human coaching. Prior to that, he worked in engineering at LinkedIn where he helped launch LinkedIn's Skills-based hiring products and LinkedIn's Hiring Platform.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cmathies/",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1a02aca7bf268e8a6f107251cac7301fdb7d5e8.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Frigade secures $2.7M in funding for React-based onboarding solution - SiliconANGLE",
        "url": "https://siliconangle.com/2023/07/20/frigade-secures-2-7m-funding-react-based-onboarding-solution/",
        "date": "Jul 20, 2023"
      }
    ],
    "launches": [
      {
        "id": 114338,
        "title": "Frigade Assist API - give your AI agent the ability to generate in-product guides and support",
        "tagline": "Register Frigade as one tool and your agent can generate in-product guides on demand, or answer questions grounded in how your product actually works today.",
        "body": "Hi everyone, Christian and Eric here, co-founders of Frigade (W23).\n\nToday we are launching the Frigade Assist API, which levels up your own AI agent to better onboard and support your users with a single tool call.\\\n<https://www.youtube.com/watch?v=-j7wd0gYS2M>\n\n**PROBLEM**\n\nMore and more teams are building their own agents. When a user gets stuck and needs help, companies tend to go one of two ways.\n\n1. Buy a help agent (Frigade Assistant, Fin, etc.). Now you have two agents and two chatboxes, and your users cannot tell which one to use for what.\n2. Have your own agent handle it. Agents in that case usually answer out of a knowledge base or help center with basic RAG. Docs are stale or incomplete more often than not, and even when the snippet is right it puts the work back on the user, who has to read it and then figure out how to apply it in the app.\n\n**SOLUTION**\n\nWe already solved the docs problem with Frigade. Our browser agent signs in to your product with the same permissions a real user has, works through your real workflows, and maps how your product works. No manual documentation or screenshots to take. It trains again every time you ship, so it always knows the version of your product that's live.\n\nNow, with the Assist API, we can solve the two-agent problem too.\n\nThe Assist API a single tool call. Your agent calls it and gets back an answer grounded in how your product behaves today, or a personalized walkthrough rendered on the page the user is already on. For most AI agent frameworks, you can add it with just these lines of code:\n\n```\nimport { frigade } from '@frigade/ai'\n \nconst frigade_guide_tool = {\n  description: 'Call this tool to answer product ' +\n    'questions or guide the user through a task.',\n  parameters: {\n    query: {\n      type: 'string',\n      description: 'What the user is asking or wants to do',\n    },\n  },\n  run: ({ query }) => frigade.assist({ query }),\n}\n \n```\n\nThe SDK forwards the call to the browser and Frigade acts on the page the user is on, highlighting the real element with the next step attached. Your agent decides when to call it and stays the only thing your user talks to.\n\nWhat you get with it:\n\n1. **Personalized in-product guides**, generated on demand. A new user gets walked through first-time setup without leaving the page. Someone stuck mid-workflow gets shown the next step instead of a link to an article.\n2. **Visibility and control for the people who own support**. Your support and product teams see who Frigade is helping and where, and can steer the output without any engineering help.\n\nWe are already working with Retell AI to extend their agent's onboarding capabilities. They build agents for a living and still chose to plug in Frigade rather than build something like this themselves.\n\nThis is for teams who already own an agent and care about product adoption. And if you do not have an agent, our drop-in Frigade Assistant is still the fastest path.\n\nIf you want to give it a spin, reach out and we'll get you a demo. <https://frigade.com/assist-api>\n\nChristian and Eric",
        "url": "https://www.ycombinator.com/launches/TkA-frigade-assist-api-give-your-ai-agent-the-ability-to-generate-in-product-guides-and-support",
        "votes": 4,
        "created_at": "2026-09-08T22:26:18.625Z"
      },
      {
        "id": 105121,
        "title": "Frigade Skills: the in-app AI agent that learns your product and acts for your users",
        "tagline": "Frigade learns your product by using it, then takes real actions for your users through Skills your team approves with no code.",
        "body": "Hi everyone, Eric and Christian here, co-founders of [Frigade](https://frigade.com) (W23).\n\nFrigade is an AI agent that lives inside your product and [guides users through it](https://frigade.com/blog/product-help-where-users-stuck). Point it at your app and it learns your UI in minutes. You don't wire anything up or write docs.\n\n**Today we're launching a major new upgrade to our agent called [Skills](https://frigade.com/features/skills).**\n\nSo far, Frigade has guided users and [answered their questions](https://frigade.com/blog/how-to-deflect-support-tickets). With Skills, it can take real actions for them too: looking things up, creating, editing, deleting.\n\nSkills are the actions Frigade figures out on its own while it trains on your product. It documents each one, your team approves it with no code from the dashboard, and from then on Frigade runs it for any user who needs it. You can still wire in your own custom tool calls with our SDK, too.\n\n<https://www.youtube.com/watch?v=bi-BFV7M7eY>\n\nIf you've used Linear's AI agent, Frigade is that as an embed: the same kind of in-app agent, dropped into your product with [one snippet](https://frigade.com/blog/walkme-alternatives-without-six-month-rollout). You get about 80% of it out of the box, with no eng work required.\n\n**How it works:**\n\n1. Add the snippet. Frigade starts using your product and learns it, like a new user would.\n2. It turns the actions it finds into Skills. Your team reviews and approves them, no code.\n3. Frigade runs those Skills for your users and answers their questions as they go.\n\n**Here it is running on popular products we don't embed in.**\n\nWe just pointed it at each one and let it learn to see how it performed:\n\n* [Jira](https://demo.frigade.com/?skill=jira)\n* [Spotify](https://demo.frigade.com/?skill=spotify)\n* [Hacker News](https://demo.frigade.com/?skill=hackernews)\n\n**Frigade is best for:**\n\n* Teams drowning in \"how do I...\" tickets\n* CS teams who want [onboarding](https://productonboarding.com/articles/what-is-product-onboarding) to happen without a call\n* Product teams who want every feature to be [self-serve](https://productonboarding.com/examples)\n* Anyone with a complex product or non-technical users who keep getting stuck\n\nMany teams are also building their own agents in-house. If that's you, we're launching the Frigade API soon so you can add our generative assistance capabilities into your agent. More on that soon.\n\nIf your product's complex or your users aren't super technical, we'd love to show you what Frigade does on your actual app. Send us a note, or book a demo at [frigade.com](http://frigade.com).\n\nEric &amp; Christian\n\n![uploaded image](/media/?type=post&id=105121&key=user_uploads/123251/18d6ac08-4814-47bc-b966-4268a0da843a)\n\n",
        "url": "https://www.ycombinator.com/launches/RLV-frigade-skills-the-in-app-ai-agent-that-learns-your-product-and-acts-for-your-users",
        "votes": 9,
        "created_at": "2026-07-09T17:34:23.119Z"
      },
      {
        "id": 95912,
        "title": "Frigade: Product onboarding that builds itself",
        "tagline": "The help center is dead. Your product is the teacher now.",
        "body": "Hey everyone, we are Eric and Christian, founders of [Frigade](https://frigade.com).\n\n**TL;DR:** Frigade automatically learns your product and provides expert, in-product assistance to users. Now with Suggestions, Frigade can proactively teach your users in the context of the product itself.\n\nhttps://youtu.be/FhHSj8YpR2U\n\n# **🔴 The problem**\n\nMany users never see the best parts of a product. Teams try to fix this but run into the same issues:\n\n* Onboarding flows take too long to build\n* Feature tours get stale as the product changes\n* Users ignore help docs :( \n* Customer Success loses hours teaching users on Zoom\n* Product teams rely on outdated screenshots, Looms, and Slack to explain the product\n\nIn-product guidance should be easy to create and maintain, but today it is neither.\n\n# **🟢 The solution**\n\nFrigade automatically learns your product by using it, and Suggestions create guidance directly inside your product from simple prompts.\n\n![uploaded image](/media/?type=post&id=95912&key=user_uploads/123251/af21223e-4d69-40f8-9cc3-c34827827206)\n\nWrite what you want users to learn:\n\n“Show users how to use the new Calendar view in the Sales tab. Walk users through the key features.”\n\nFrigade understands the latest version of your product and generates the experience directly from that context. You do not need a help center, articles, or any existing documentation for Frigade to work. It learns directly from the product itself.\n\nNo user flows. No element targeting. Nothing to wire up.\n\nYou can create:\n\n* Onboarding for new signups\n* Guided tours for new features\n* Help for confusing parts of the UI\n* Workflows for power users\n* Role or plan specific nudges\n* Contextual support at the right moment\n\nEverything runs inside your real product and stays accurate as it evolves, without depending on any external help documentation or content.\n\n# **🧪 Preview, refine, publish**\n\nInstantly preview Suggestions to watch the experience run in your product. Tweak the prompt to adjust the tone or structure. Choose who should see it and publish. Users will see it at the right moment and can launch the experience instantly.\n\n# **🧵 Who is using it today**\n\nTeams across SaaS, AI, fintech, marketplaces, and more use Frigade to:\n\n* Onboard users without a human in the loop\n* Increase feature adoption\n* Reduce support tickets\n* Walk customers through complex workflows\n* Educate users inside the product rather than sending them elsewhere\n\n# **🚀 Try it out**\n\nFrigade Suggestions are live today. Create your first in-product experience from a single prompt [**https://frigade.com**](https://frigade.com)\n\nWe’d love your feedback or questions: [founders@frigade.com](mailto:founders@frigade.com)",
        "url": "https://www.ycombinator.com/launches/Owy-frigade-product-onboarding-that-builds-itself",
        "votes": 28,
        "created_at": "2025-12-02T15:44:08.899Z"
      },
      {
        "id": 92353,
        "title": "Frigade AI: In-app support agent that adapts to your product automatically",
        "tagline": "Frigade AI uses your product to learn how it actually works, then guides users with live, step-by-step support directly inside the UI—right when they need it.",
        "body": "**TL;DR: Frigade AI** is an in-app agent that keeps users moving forward with contextual, real-time guidance. It can generate step-by-step tutorials for complex workflows, highlight relevant features at the right moment, and even take actions directly on users' behalf to eliminate friction. Unlike traditional chatbots that rely on outdated help center documents, Frigade AI learns your product by actually using it and automatically adapts to every product update without any work from your team.\n\n📅 Book a demo → [calendar](https://cal.com/forms/ed0e923f-6f00-4191-a08f-7bebba6636b6)\n\nhttps://www.youtube.com/watch?v=8SjL4OfPs3I\n\n### **The Problem**\n\nMost onboarding tools assume users follow a perfect path. They don’t. Users skip steps, explore features early, and ask questions that don't fit your predefined paths.\n\nSupport teams can’t scale to handle every question. Engineering teams don’t have time to build and maintain hardcoded walkthroughs. And most AI chatbots fall short, offering generic responses based on outdated help center docs. \n\nWhat users actually need is guidance **in real time**, **in context**, and **on demand**. Not just during sign-up, but throughout their entire journey.\n\n### **The Solution**\n\nToday, we’re officially launching [**Frigade AI**](http://frigade.ai), a fully integrated agent that lives inside your product and helps users get personalized support instantly. \n\nUnlike traditional chatbots, Frigade AI learns your product by actually _using_ it. It explores your interface, navigates your workflows, reads your documentation, and builds a working model of how your product functions. Just like a real user would.\n\nThe goal? **Help users succeed from their first session** and keep them unblocked at every step.\n\nIt works alongside everything you’ve already built, like checklists, tours, help centers, and fills in the gaps with real-time support when your users need it most. Frigade AI:\n\n* **Unblocks users instantly** with dynamic step-by-step guides for any workflow\n* **Eliminates friction** by taking product actions directly for users\n* **Answers open-ended questions** with contextual product support\n* **Escalates seamlessly** to Zendesk, Intercom, and other live support tools\n* **Gets running in under an hour** with minimal engineering effort\n* **Stays current automatically** as your product evolves\n\nhttps://www.youtube.com/watch?v=usspoSsWIb4 \n\nThe result is an AI agent that **turns every user into a power user,** removing confusion and guiding users to success.\n\n### **See It in Action**\n\nIf you're building a web app and want to better support users at scale, without scaling your existing support team, we’d love to show you what we’re working on. \n\n🔗 Check out our website at [https://](https://frigade.ai)[frigade.ai](http://frigade.ai)\\[\\\n\\](https://frigade.ai) 📅 Book a demo → [calendar](https://cal.com/forms/ed0e923f-6f00-4191-a08f-7bebba6636b6)\n\n![uploaded image](/media/?type=post&id=92353&key=user_uploads/123251/ef0698cc-01a2-4f96-97e6-f0c2a151ec6e)\n\n",
        "url": "https://www.ycombinator.com/launches/O1Z-frigade-ai-in-app-support-agent-that-adapts-to-your-product-automatically",
        "votes": 17,
        "created_at": "2025-07-22T15:51:42.115Z"
      },
      {
        "id": 85509,
        "title": "Trench: Open Source Analytics Infrastructure 🌊",
        "tagline": "Fast and scalable. No bloat. GDPR compliant. Powered by ClickHouse and Kafka.",
        "body": "Hey everyone! We’re Christian and Eric from Frigade. [Trench](https://trench.dev) is open source analytics infrastructure for tracking events, identifying users, and querying data in real time.\n\nIt’s built on top of ClickHouse and Kafka for speed and scale, and it can be deployed with a single production-ready Docker image. Trench is a major part of Frigade’s infrastructure and powers our own in-product analytics and user targeting for millions of end users.\n\nThe code is MIT-licensed at <https://github.com/frigadehq/trench>. We just launched, and Trench gained over 1,000 GitHub stars ⭐ in less than a week.\n\n![uploaded image](/media/?type=post&id=85509&key=user_uploads/123251/443f6361-9b1a-45d5-921e-e79504ebdcea)\n\n# **Demo:**\n\nCheck out our open source demo to see how to build your own version of a Google Analytics dashboard powered by Trench in less than 15 minutes.\n\n<https://demo.trench.dev/>\n\n![uploaded image](/media/?type=post&id=85509&key=user_uploads/123251/049bc7b3-bd4a-4038-8128-faa2a8e2cc67)\n\n# **🚨 The Problem: Postgres doesn't scale for tracking and querying millions of events at scale**\n\nAs we’ve scaled [Frigade](https://frigade.com) to millions of end users, our Postgres table we used for event tracking was quickly ballooning in cost and becoming a performance bottleneck. Many companies run into the same problem as us (e.g. [Stripe](https://brandur.org/fragments/events), [Heroku](https://brandur.org/fragments/events)). \\\nEngineers start by adding a basic events table to their relational database, which works at first, but breaks down as the user base scales. It's usually the biggest table in the database, the slowest one to query, and the longest one to back up. Postgres (or MySQL for that matter) simply isn't a good solution for tracking and querying events in real time at 1M+ end users scale.\n\n# **The Solution: Fast, scalable, and affordable event tracking**\n\nWe knew we wanted to move to technologies like Kafka and ClickHouse that are purpose-built for ingesting and querying thousands of events per second. When we looked for existing solutions, all the existing OSS projects we found were either bloated with unnecessary features, UIs and spaghetti code, or simply antiquated. So we built Trench.\\\nWith Trench, we've put together a single Docker image that provides a production-ready tracking event table that scales. When we migrated our tracking table from Postgres to Trench, we saw a 42% reduction in cost to serve on our primary Postgres cluster and eliminated all lag spikes from autoscaling under high traffic. We're happy with how Trench has solved event tracking for us, and now we’re excited to share that with other teams.\n\n### **Core Features**\n\n* Compliant with the Segment tracking specifications\n* Can handle thousands of events per second on a single node\n* Query tracking data in real-time with read-after-write guarantees\n* Send data anywhere with throttled and batched webhooks\n* Single production-ready Docker image\n* Easily plugs into cloud-hosted ClickHouse/Kafka solutions\n\n### **Use cases**\n\nWhat can you build with Trench? There are many use cases:\n\n1. **Real-Time Monitoring and Alerting** – Monitor your services and get alerts through tracking custom events like errors, usage spikes, or specific user actions, and send that data anywhere with webhooks.\n2. **Event Replay and Debugging –** Capture all user interactions in real time for event replay services.\n3. **A/B Testing Platform** – Capture events from different users and groups in real time. Segment users by querying in real time and serve the right experiences to the right users.\n4. **Product Analytics for SaaS Applications** – Embed Trench into your existing SaaS product to power user audit logs or tracking scripts on your end-users' websites\n5. **Build a custom RAG AI model** – Easily query event data and give users answers in real time. LLMs are really good at writing SQL.\n\n# **Try it out and give us a star ⭐**\n\nWe hope you’ll find Trench useful if you’re facing or have ever experienced a similar problem with analytics at scale. Here are some links to get started:\n\n* Trench website: <https://trench.dev>\n* Quickstart guide: <https://docs.trench.dev/quickstart>\n* Github repo: <https://github.com/FrigadeHQ/trench>\n* Product demo: <https://demo.trench.dev>",
        "url": "https://www.ycombinator.com/launches/MFB-trench-open-source-analytics-infrastructure",
        "votes": 9,
        "created_at": "2024-11-12T22:22:46.640Z"
      },
      {
        "id": 78903,
        "title": "Frigade – Growth platform for modern software teams",
        "tagline": "Frigade is a low-code tool for building product growth loops",
        "body": "# **tl;dr**\n\n[Frigade](http://frigade.com) is a low-code tool for building product growth loops. It comes with pre-built React UI components, a web app, and flexible APIs. Our customers use Frigade to build product growth experiences similar to those used by companies like [Notion](https://www.productonboarding.com/notion-feature-announcement), [Github](https://www.productonboarding.com/github-embedded-promotions?view=components), and [Mercury](https://www.productonboarding.com/mercury-new-user-onboarding).\n\n![uploaded image](/media/?type=post&id=78903&key=user_uploads/123251/7ac8ec05-e94e-4f88-93c2-561aae34289d)\n\n\\---\n\n# **Founding Story**\n\nOur team first met at LinkedIn where we built internal tooling to help accelerate company growth. Turns out many of the best companies in the valley also had large growth teams dedicated to building the same powerful tooling.\n\nThese platforms made it easier to ship new experiences with functionality like user targeting, air traffic control, state management, admin tooling, and much more.\n\nHowever, many companies lack the resources to develop this kind of tool. With Frigade, we are building the growth platform we wished we had everywhere we’ve worked since LinkedIn, and we’re making it available to all teams.\n\n\\---\n\n# **What kind of experiences can Frigade power?**\n\n* **Onboarding forms** — like Typeform, but native\n* **Product checklists** for user activation\n* **Guided tours** for feature adoption\n* **Announcements** for engagement and adoption\n* **House Ads** to nudge users toward upgrades and adoption\n* **Surveys** for user research and account enrichment\n* **Custom Flows** to power unique in-app experiences\n\n\\---\n\n![uploaded image](/media/?type=post&id=78903&key=user_uploads/123251/cc206e9a-c6cf-4e23-ade4-d1a8b60e924a)\n\n# **How does Frigade work?**\n\nFrigade combines React components, an admin dashboard, and flexible APIs to allow teams to build growth loops, faster.\n\n**React UI Components**\n\nFrigade includes a library of beautiful, pre-built React UI components based on industry best practices. Our components are fully customizable to your brand and product so they feel seamless.\n\n**Web App**\n\nFrigade’s web app helps technical and non-technical users alike with user targeting, performance metrics, user and account progress, and more. Frigade integrations help you connect tools like Mixpanel and Segment with a few clicks.\n\n**Flexible APIs**\n\nThe Frigade API is designed to give teams full control over their experience, unlike rigid no-code tools. Teams can even use our APIs to build fully custom Flows.\n\n\\---\n\n### **Our asks:**\n\n* **Sign up** for free at [frigade.com](http://frigade.com) to get started\n* **Grab a demo** with our team [here](https://cal.com/team/frigade/frigade-demo) to discuss your use cases",
        "url": "https://www.ycombinator.com/launches/KWd-frigade-growth-platform-for-modern-software-teams",
        "votes": 10,
        "created_at": "2024-02-29T17:52:18.262Z"
      },
      {
        "id": 68103,
        "title": "💻 Frigade - The easiest way for developers to build product onboarding.",
        "tagline": "Frigade helps developers build better native onboarding and product education, faster. ",
        "body": "**_TL;DR_** _Frigade helps developers build best-in-class product onboarding and education_ faster. _Check us out at_ [_frigade.com_](http://frigade.com)_!_\n\n![uploaded image](/media/?type=post&id=68103&key=user_uploads/123251/acaad972-6a2d-45b3-817c-00685b328449)\n\nHello everyone! We’re [Christian](https://www.linkedin.com/in/cmathies/) and [Eric](https://www.linkedin.com/in/ericbrownrout/). We’ve been working together since 2015 when we first met as interns at LinkedIn, and we’re excited to be building Frigade. Our goal at Frigade is to make it easy to build great product onboarding so developers can spend more time building their core product experiences.\n\n![uploaded image](/media/?type=post&id=68103&key=user_uploads/123251/c42721d4-9f20-4993-b0ce-cac1c7a69fe2)\n\n### **🔴 Problem: Product Onboarding is Hard**\n\nProduct onboarding is essential to customer activation and retention, but building great onboarding is difficult and time consuming. We know because we experienced this problem firsthand at our previous startup where we spent enormous amounts of time building onboarding and education for our app through trial and error. Time that could’ve been spent developing our core product offering.\n\nㅤ\n\n### **🟢 Solution: Powerful API and Open Source SDK**\n\nFrigade’s API and open source SDK take the hard work out of building and scaling great product onboarding. With Frigade, developers can:\n\n* 🛠️ Quickly build beautiful onboarding within their own app UI\n* 🔄 Ingest onboarding data from our API into their backend\n* ⚡ Make instant changes to copy, assets, and logic via API\n* 🎯 Easily build user targeting (powered by Segment, MixPanel, etc.)\n* 📚 Automatically leverage built-in industry best-practices\n\nAs a result, developers can spend less time building features for product adoption and more time building the product roadmap.\n\n![uploaded image](/media/?type=post&id=68103&key=user_uploads/123251/e768b350-e12d-4e11-976b-042f82f1def3)\n\n![uploaded image](/media/?type=post&id=68103&key=user_uploads/123251/52788266-214c-4314-a0a9-dc7d270afdde)\n\n[_Frigade SDKs_](https://github.com/FrigadeHQ) provides beautiful, extensible boilerplate for critical flows.ㅤ\n\n### **💻 Try it yourself**\n\nCheck out our [GitHub page](https://github.com/FrigadeHQ) and [website](https://frigade.com). We’re here to help! Feel free to contact us at [founders@frigade.com](mailto:founders@frigade.com) with any questions regarding implementation, feature requests, or to chat generally about your product onboarding needs. And if you’re in San Francisco, come say hey!\n\nㅤ\n\n**Thanks!**\n\nEric and Christian",
        "url": "https://www.ycombinator.com/launches/HiR-frigade-the-easiest-way-for-developers-to-build-product-onboarding",
        "votes": 35,
        "created_at": "2022-12-28T22:08:51.477Z"
      }
    ]
  },
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    "id": 27854,
    "name": "Suger",
    "slug": "suger",
    "former_names": [
      "Suger Inc"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb9d2b3f8db8157f79ade98fcbf86f4de21dd0a0.png",
    "website": "https://www.suger.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The cloud marketplaces on AWS, Azure, and GCP have become the App Store for B2B software products. It’s growing close to 100% year-over-year since it gives software sellers access to cloud budgets and makes procurement 40% faster. The core problem is the cloud marketplace is hard to navigate and requires an upfront technical investment without knowing the expected ROI. Suger eliminates the need to reinvent the wheel with your own engineering resource or spend a fortune on consulting-based solutions. ",
    "one_liner": "Salesforce for Cloud marketplaces on AWS, Azure, GCP",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1671144584,
    "tags": [
      "Marketplace",
      "SaaS",
      "B2B",
      "Sales"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/suger",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/suger.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/suger-inc",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/suger",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb9d2b3f8db8157f79ade98fcbf86f4de21dd0a0.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7832327a4fa118fb0e12966cc535d858c3ff5042.png"
    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 933425,
        "full_name": "Chengjun Yuan",
        "title": "Founder",
        "founder_bio": "ex-Google, FB & Confluent",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chengjunyuan/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eab0f847983568934c6d554c66790b57e70414ca.jpg"
      },
      {
        "user_id": 711923,
        "full_name": "Jon Yoo",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jongwoo-yoo-4861439a/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c3b78cf245bd50588b89958f16febed33b02ad0.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Suger helps companies list and scale up on cloud marketplaces | TechCrunch",
        "url": "https://techcrunch.com/2025/02/12/suger-helps-companies-list-and-scale-up-on-cloud-marketplaces/",
        "date": "Feb 12, 2025"
      },
      {
        "title": "Seed Funding | Suger",
        "url": "https://www.suger.io/blog/seed-funding/",
        "date": "Nov 16, 2023"
      },
      {
        "title": "Suger Raises $3.5M in Funding to Propel Growth in Cloud Marketplaces - Intel Capital",
        "url": "https://www.intelcapital.com/suger-raises-3-5m-in-funding-to-propel-growth-in-cloud-marketplaces/",
        "date": "Nov 16, 2023"
      },
      {
        "title": "Our favorite startups from YC’s Winter 2023 Demo Day — Part 2 | TechCrunch",
        "url": "https://techcrunch.com/2023/04/06/y-combinator-demo-day-2023-favorites-part-two/",
        "date": "Apr 06, 2023"
      }
    ],
    "launches": []
  },
  {
    "id": 27855,
    "name": "Haven",
    "slug": "haven-2",
    "former_names": [
      "Clava"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f51be3e6016c33657688a682b7eb23e8ee1044a.png",
    "website": "https://www.usehaven.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Haven is building AI Agents to automate property management operations. Our first Agent is automating the maintenance coordination process. This means answering the phone when tenants have a maintenance issue, diagnosing the issue, dispatching a technician, and then following up with tenants to make sure the issue is resolved.\r\n",
    "one_liner": "AI workforce for property management",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1680268835,
    "tags": [
      "SaaS",
      "Real Estate",
      "B2B",
      "Proptech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/haven-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/haven-2.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f51be3e6016c33657688a682b7eb23e8ee1044a.png",
    "app_video_url": null,
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    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e411c330953bc67db8e6b66d58576f21a3f06cb0.png"
    ],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [],
    "jobs": [
      {
        "id": 70684,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/haven-2/jobs/MUGkU8h-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "MongoDB",
          "Python",
          "TypeScript",
          "Machine Learning",
          "Chatbots"
        ]
      }
    ],
    "news": [],
    "launches": []
  },
  {
    "id": 27860,
    "name": "Dream3D",
    "slug": "dream3d",
    "former_names": [
      "MettaSpace"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc5c128914787f1ad09c34983b9c40c1200da598.png",
    "website": "https://dream3d.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Dream3D is an AI research lab that builds tools to help humanity predict the future.",
    "one_liner": "We build tools to help humanity predict the future.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677865645,
    "tags": [
      "Generative AI",
      "Computer Vision",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/dream3d",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/dream3d.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
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    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc5c128914787f1ad09c34983b9c40c1200da598.png",
    "app_video_url": null,
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    "founders": [
      {
        "user_id": 251860,
        "full_name": "Tony Francis",
        "title": "Founder",
        "founder_bio": "Tony is a second-time YC founder. Currently, he is the founder & CEO of Dream3D building generative models to simulate virtual worlds. His previous company, Inokyo, built the first AI-checkout retail stores. In between, he lead the development of the ML platform at Clubhouse. ",
        "is_active": true,
        "linkedin_url": "http://linkedin.com/in/tony-f",
        "x_url": "https://twitter.com/_tonyfrancis",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5122876a10bca071b9861a58e57029896a31f68.jpg"
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    ],
    "jobs": [],
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    "launches": [
      {
        "id": 69920,
        "title": "Dream3D 😈 - AI-powered 3D design",
        "tagline": "Studio-quality computer graphics made easy",
        "body": "Hey, y’all! Tony here from Dream3D– excited to share what we’ve been working on!\n\n**Dream3D is an AI-powered 3D design tool that makes it easy to create studio-quality computer graphics.**\n\n### The Problem\n\n**Creating 3D renders is an expensive and time-consuming process that can take teams of highly trained specialists months, if not years, to produce a final result.**\n\nIn current rendering methods, input quality = output quality. A designer or artist needs to spend days building a scene, component by component, to get a final rendered result. \n\n**This leads to**\n\n* 🐢 Slow and costly iteration cycles as you nail down your creative vision\n* 💰 Hundreds (if not thousands) of dollars spent purchasing assets, textures, and shaders– many of which never even make the final cut\n* 🤬 Complex and difficult-to-use tools required for building detailed scenes\n\n### How we fix this\n\n**Dream3D replaces complex workflows with text-driven commands and intuitive interfaces powered by our custom AI models.** \n\nUnlike existing generative tools, we give users explicit control over their scene, unlocking professional use-cases.\n\nWe let designers quickly build out 3D scenes by describing them in plain English– “a jetski in front of a building.“ We then let them transform that scene into a high-quality image with just another description of what they want– “photorealistic yellow jetski, evening sun, 80s magazine ad”\n\nHere’s an example of transforming a simple car scene into production-ready concept art:\n\n![uploaded image](/media/?type=post&id=69920&key=user_uploads/251860/f63e5f85-b22c-451b-aa59-1846384eb605)\n\n![uploaded image](/media/?type=post&id=69920&key=user_uploads/251860/3e190d62-d65d-48be-9e26-7639ee1ca06c)\n\nOr a full landscape from just a couple of boxes:\n\n![uploaded image](/media/?type=post&id=69920&key=user_uploads/251860/84be4590-2db2-40a6-b61e-5672a55e828e)\n\n![uploaded image](/media/?type=post&id=69920&key=user_uploads/251860/067a0ef7-f509-4de2-83af-fb30c99254d7)\n\n\\\nThis means you can quickly iterate through multiple concepts and styles, maintaining the same scene composition, without having to spend time & energy building each scene from scratch.\n\nIt's fast and fluid so you can focus on what you want to create.\n\n### Looking Forward\n\nRight now, we let designers create static renders. But soon, we’ll be adding support for animation and video export. \n\nIn the longer term, Dream3D will be a complete 3D creative suite– letting you create full games, movies, and simulated worlds.\n\n## Our Story\n\nPrior to Dream3D, I led the development of the machine learning platform at Clubhouse and my previous company, Inokyo (S18), built computer vision to automate retail checkout. \n\nI first got interested in computer graphics and storytelling while I was studying at Carnegie Mellon. But, I found my creativity stifled by the complexity of the tools.\n\nNow, we’re combining our experiences building prosumer tools and bringing machine learning research to production to make it easy for anyone to create studio-level computer graphics and build the tool I always wish I had.\n\n### The Ask\n\nIf you do 3D design work (or want to), sign up [here](https://hkqvoariw92.typeform.com/to/QJv3ghPN)!\n\nOr if you’re interested in researching hard problems across computer graphics and AI, and/or building delightful tools, send me an email at [tony@dream3d.com](mailto:tony@dream3d.com)",
        "url": "https://www.ycombinator.com/launches/IBk-dream3d-ai-powered-3d-design",
        "votes": 108,
        "created_at": "2023-03-03T18:30:17.701Z"
      }
    ]
  },
  {
    "id": 27867,
    "name": "DataSuite",
    "slug": "datasuite",
    "former_names": [
      "Extensional AI",
      "Extensional",
      "Extensional AI",
      "Anarchy AI",
      "Anarchy",
      "Anarchy Labs",
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    "subindustry": "B2B -> Legal",
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        "title": "Anarchy 🧪 - LLM infrastructure for building conversational applications 🏗️",
        "tagline": "Anarchy provides companies with their own LLM endpoints that can call any APIs",
        "body": "Greetings YC community! We’re Matt and James, the founders of Anarchy. We’ve been working in AI for a long time (Matt just finished a PhD working on formal methods in deep learning) and have become experts in taming LLMs. We started Anarchy to share these advances with devs who want to use LLMs in production.\n\n### **Problem**\n\nWhile LLMs are beginning to be used as universal text interfaces, developers and prompt engineers are beginning to want consistent and reliable LLMs with agency: LLMs which can search through their ever-changing databases, be able to book meetings, and generally make calls to their APIs. However, coaxing LLMs to behave consistently is black magic requiring constant vigilance, and relying on a single provider can be a risky point of failure.\n\n### **Solution**\n\nOur platform abstracts away the unpredictable work of researching ideal prompts so developers can focus on building business logic: Provide your API and its description, and your LLM-keys, and anarchy will provide you an LLM endpoint (or web-interface chatbot) that can answer questions and solve problems using your API and load-balance between LLMs.\n\n[Here's a short product demo](https://www.youtube.com/watch?v=Qcv_wrCYRds)\n\n![uploaded image](/media/?type=post&id=69294&key=user_uploads/129728/2ecd3d46-6642-49b8-bdf7-8f655f59078e)\n\n### **Ask**\n\nIf this excites you (or anybody you might know, YC or not) and you’d like to try our product, please contact us by [signing up.](https://forms.gle/5rqU282gUKmKPmjm9)\n\nIf you want to have a chat about LLM tech or ask us questions directly, feel free to join our discord: <https://discord.gg/qaFf7S373c> \n\nWe’re also in the process of building up our [twitter](https://twitter.com/anarchy_ai_inc) and [linkedin](https://www.linkedin.com/company/extensional) and would appreciate a follow 🙂!",
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        "created_at": "2023-02-15T01:33:56.036Z"
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        "body": "Hi everyone – we are Brandon & Brayden from Outerbase.\n\n**📚 TL;DR**\n\nCurrent database tooling is poorly designed and historically been targeted solely at developers. Outerbase is a modern platform that allows you and your entire team to view the data you need whether it be in Postgres, MySQL, Snowflake, BigQuery or more.\n\n### \n\n**🪨 The Problem**\n\nGetting access to your data is hard. Typically there are only a few people who hold the keys to it at any given company and they quickly become a bottleneck on data requests. The tooling around it is outdated and poorly designed, and not intended for the modern collaborative work environments.\n\n![uploaded image](/media/?type=post&id=69291&key=user_uploads/1247130/86c6422c-a53c-41d7-a9fa-10c9e5362450)\n\n### \n\n**⚒️ Our Solution**\n\nOuterbase provides an intuitive interface with granular access to your data. It has a familiar spreadsheet-like experience that anyone can use. Outerbase’s EZQL provides a sql-less experience through the use of GPT-3. You can take those same queries and create beautiful dashboards all in one experience.\n\n### \n\n**⚙️ How Outerbase Works**\n\nWe sit on top of most relational database types, including Postgres, MySQL, Redshift, BigQuery, and Snowflake. You simply provide your database credentials and Outerbase gives you a spreadsheet-like experience to view, edit, query, and visualize your data. Since access is based on your credentials you can easily control how granularly your team accesses your data. Our EZQL feature is powered by OpenAI and takes your databases schema and structures your questions/queries based on it.\n\n![uploaded image](/media/?type=post&id=69291&key=user_uploads/1247130/8bf0e1cb-0788-47a1-84aa-8d91e6652aad)\n\n### \n\n**🙋 Asks**\n\nTry Outerbase, simply [sign up](https://app.outerbase.com/signup) and get started with our demo database, or add your own database credentials in the connections tab. You can also [download](http://app.outerbase.com/downloads/Outerbase.dmg) our mac app.\n\nIf you know of anyone trying to kick off the process of making data-driven decisions but doesn’t know where to start, please intro them to us!\n\nJoin our Slack [community](https://join.slack.com/t/outerbasecommunity/shared_invite/zt-1ple7fhsg-2z6MIC_P4fzdrKe1koJ7kQ).\n\nAnd, if you have 15 minutes to chat about your pain points accessing your data please book some time [here](https://calendly.com/outerbase/demo).",
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        "tagline": "Skip the complexity, high costs, and limitations of no-code tools—our AI-powered platform lets you create scalable, modern full-stack apps using natural language, all while keeping full ownership of your code.",
        "body": "[co.dev](https://co.dev) is an AI-powered platform lets you create scalable, modern full-stack apps using natural language, all while keeping full ownership of your code.\n\n<https://www.youtube.com/watch?v=V7NWWoa0kHY>\n\n# **Problem**\n\nBuilding full-stack applications is prohibitively complex, time-consuming, and costly for non-technical users. While current no-code platforms offer a partial solution, they come with serious drawbacks:\n\n* Vendor Lock-In: They use they own stack, so you are tied to their platform.\n* Scaling Challenges: Outgrowing these tools often means starting over.\n* Limited Customization: Advanced features require a steep learning curve or outside help.\n\n# **Solution**\n\n[co.dev](https://co.dev) bridges the gap by combining the simplicity of no-code platforms with the flexibility and scalability of professional development tools. Using natural language, [co.dev](https://co.dev) enables users to build full-stack apps effortlessly through a chat-based interface.\n\nThe platform provides:\n\n* Access to the Codebase: Users can download and own the generated code, eliminating vendor lock.\n* Modern Tech Stack: Apps are built using Next.js and Supabase, providing scalability, speed, and reliability.\n* Built-In Modules: Common features like authentication, database integration (via Prisma), and more, ready to use out of the box.\n* AI Code Management: AI handles coding, bug fixes, database updates, and deployments, while you just provide requirements using natural language.\n* Customization: Advanced users can continue app development outside the platform if desired.\n\nThis solution saves users time, reduces costs, and lowers the technical barriers to building fully functional, scalable applications.\n\n# **Uses Cases**\n\n1. **Startup MVP Development:** Entrepreneurs can quickly create and iterate on minimum viable products for their startup ideas, allowing for rapid testing and validation of concepts.\n2. **Non-Technical App Development:** Anyone can describe their app vision in plain text, and [co.dev](https://co.dev) transforms it into a functional app. Whether you're a small business owner or a creative individual, [co.dev](https://co.dev) makes app creation accessible to all.\n\nSign up [here](https://co.dev).\n\n![uploaded image](/media/?type=post&id=85946&key=user_uploads/983743/b0fcac42-5c3f-41e6-a607-315cf600d821)\n\n",
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        "full_name": "Marc Klingen",
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        "linkedin_url": "https://www.linkedin.com/in/rawert/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0dc62d0e6b79c2d284807a0ffb4048c3b981684.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "ClickHouse welcomes Langfuse: The future of open-source LLM observability",
        "url": "https://clickhouse.com/blog/clickhouse-acquires-langfuse-open-source-llm-observability",
        "date": "Jan 15, 2026"
      },
      {
        "title": "Langfuse raised $4M - Langfuse Blog",
        "url": "https://langfuse.com/blog/announcing-our-seed-round",
        "date": "Nov 07, 2023"
      },
      {
        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/?guccounter=1",
        "date": "Sep 06, 2023"
      },
      {
        "title": "Show HN: Langfuse - Open-source observability and analytics for LLM apps",
        "url": "https://news.ycombinator.com/item?id=37310070",
        "date": "Aug 29, 2023"
      }
    ],
    "launches": [
      {
        "id": 87195,
        "title": "🪢 Langfuse - The Open-Source LLM Engineering Platform",
        "tagline": "Langfuse helps teams collaboratively monitor, evaluate and debug their LLM applications.",
        "body": "![](https://lh7-qw.googleusercontent.com/docsz/AD_4nXdIAXpWtb7lK2NRs0-3d-GTPHW5YYMdHGsiSgqV4j4hVw8eb5PJXfszk16m2ROBoKOfyjOWlOtlk3adorGG4L49KTClDdTo5Yv6_k-iBdhbSFgnsKTQBa5e4Cp5kaDnmRlWccSKWQ?key=X_meTBjiqstYzDfMfZ-Cj7Hg)\n\n[Langfuse](https://langfuse.com) is the open-source LLM engineering platform designed to help teams build production-grade LLM applications faster. We started building Langfuse in SF during Y Combinator's W23 batch - just when GPT 4 was initially released. \\\n**Today, Langfuse is used by tens of thousands of developers and is one of the **[**most popular LLMOps platforms globally**](https://langfuse.com/blog/2024-11-most-used-oss-llmops)**.**\n\n### **🤯 The Problem**\n\nBuilding production-grade LLM applications is challenging because of the probabilistic nature of LLMs and the multiple layers of scaffolding required to get complex workflows into production. \\\nDevelopers need to **debug** their applications because of increasingly complex abstractions like chains, agents with tools, and advanced prompts. Understanding how an application executes and identifying the root causes of problems can be arduous. Additionally, **monitoring costs and latencies** is crucial since LLMs can incur high inference expense and take time to respond to users, making it important to track model usage and costs across applications.\n\nAssessing the **quality of LLM outputs** also poses challenges. Outputs may be inaccurate, unhelpful, poorly formatted, or hallucinated, complicating the process of ensuring reliability and accuracy. Quickly **identifying and debugging issues** in complex LLM applications is essential but often difficult. Furthermore, building high-quality datasets for fine-tuning and testing requires capturing the full context of LLM executions..\n\n### **✅ Our Solution**\n\n<https://www.youtube.com/watch?v=2E8iTvGo9Hs> \n\nLangfuse addresses these challenges by providing an open-source platform to debug and improve LLM applications. \\\nLangfuse captures the **full context of your application**, tracing the complete execution flow—including API calls, retrieved context, prompts, parallelism, and more. By enabling **hierarchical representations through nested traces**, Langfuse helps you understand complex logic built around LLM calls. Langfuse also offers **full **[**multi-modal**](https://langfuse.com/changelog/2024-11-20-full-multi-modal-images-audio-attachments)** support**, including audio, images, and attachments.\n\n**Langfuse measures cost and latency**, breaking down metrics by user, session, feature, model, and prompt version, allowing for detailed analysis. To assess output quality, Langfuse facilitates the collection of **user feedback**, performs automated **LLM-as-a-judge evaluations**, and supports manual **data labeling** within the platform. It also offers [**prompt management**](https://langfuse.com/docs/prompts/get-started) features, allowing you to handle prompts effectively and perform [**prompt experiments**](https://langfuse.com/changelog/2024-11-22-prompt-experimentation) over new ideas and systematically track success.\n\nFor testing and experimentation, Langfuse supports **versioning your application** and running tests of **expected inputs and outputs** via curated **datasets**. This provides quantitative insights into the impact of changes, helping you understand and improve your LLM applications more effectively.\n\n### **🎬 Getting Started (Tracing OpenAI with Langfuse):**\n\nBelow is a brief example highlighting how you can integrate with Langfuse. You can also try out Langfuse through our interactive live demo or our walkthrough video - more [here](https://langfuse.com/docs/demo)**.**\n\n_(Not using OpenAI? Langfuse can be used with any model or framework through our _[_Python Decorator_](https://langfuse.com/docs/sdk/python/decorators)_ and _[_JS-TS SDK_](https://langfuse.com/docs/sdk/typescript/guide)_. Langfuse also natively integrates with popular frameworks such as _[_Langchain_](https://langfuse.com/docs/integrations/langchain/tracing)_, _[_LlamaIndex_](https://langfuse.com/docs/integrations/llama-index/get-started)_, _[_LiteLLM_](https://langfuse.com/docs/integrations/litellm/tracing)_ and _[_more_](https://langfuse.com/docs/integrations/overview)_. )_\n\n#### Step 1: Create a New Project in Langfuse\n\n1. Sign up for [Langfuse Cloud](https://cloud.langfuse.com) or [self-host](https://langfuse.com/docs/deployment/self-host) Langfuse OSS.\n2. Create a new project within Langfuse.\n3. Generate API credentials via the project settings.\n\n#### Step 2: Log Your First LLM Call to Langfuse\n\nThe [@observe() decorator](https://langfuse.com/docs/sdk/python/decorators) makes it easy to trace any Python LLM application. In this quickstart, we use the Langfuse [OpenAI integration](https://langfuse.com/docs/integrations/openai) to automatically capture all model parameters such as cost and token usage.\n\n```\n%pip install langfuse openai\n```\n\n```\n# Get keys for your project from the project settings page https://cloud.langfuse.com\nos.environ[\"LANGFUSE_SECRET_KEY\"] = \"sk-lf-...\"\nos.environ[\"LANGFUSE_PUBLIC_KEY\"] = \"pk-lf-...\"\nos.environ[\"LANGFUSE_HOST\"] = \"https://cloud.langfuse.com\" # 🇪🇺 EU region\n# os.environ[\"LANGFUSE_HOST\"] = \"https://us.cloud.langfuse.com\" # 🇺🇸 US region\n```\n\n```\nfrom langfuse.openai import openai # OpenAI integration\nfrom langfuse.decorators import observe\n\n@observe() # Langfuse decorator\ndef story():\n    return openai.chat.completions.create(\n        model=\"gpt-3.5-turbo\",\n        messages=[\n          {\"role\": \"system\", \"content\": \"You are a great storyteller.\"},\n          {\"role\": \"user\", \"content\": \"Once upon a time in a galaxy far, far away...\"}\n        ],\n    ).choices[0].message.content\n \n@observe()\ndef main():\n    return story()\n \nmain()\n```\n\n#### Step 3: See your Traces in Langfuse\n\n![](https://lh7-qw.googleusercontent.com/docsz/AD_4nXfbJGtoDrEGUKAM8Kiim08yIkwLNR25bUtH6Mlr9H49lIdQUkwr9yVQhC1Q06Y8IMaGDte-likn20DUIo1_eGST64FC4RO1VREZdF24OxrTTV3yYL9EmV6xBxXmCiSN01ucH-_zPA?key=X_meTBjiqstYzDfMfZ-Cj7Hg)\n\nLog into the [Langfuse UI](https://cloud.langfuse.com/) to view the created trace. You can now take it further by managing your prompts through Langfuse or by starting to test or evaluate your LLM executions (more below).\n\nSee this example trace in the Langfuse UI: [_https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/fac231bc-90ee-490a-aa32-78c4269474e3_](https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/fac231bc-90ee-490a-aa32-78c4269474e3)\n\n### **🏃 Now what?**\n\nAfter you are set up in Langfuse you can now:\n\n* **Evaluate** the quality of your application through\n  * [User feedback](https://langfuse.com/docs/scores/user-feedback)\n  * [Data Labeling](https://langfuse.com/docs/scores/annotation)\n  * [LLM-as-Judge Evals](https://langfuse.com/docs/scores/model-based-evals)\n  * [Custom Evaluators](https://langfuse.com/docs/scores/custom)\n* Run **Tests & Benchmarks** by\n  * [Curating Datasets](https://langfuse.com/docs/datasets/overview)\n  * [Conducting Prompt Experiments](https://langfuse.com/docs/datasets/prompt-experiments)\n* **Analyze and collate statistics** on your app with\n  * [LLM analytics](https://langfuse.com/docs/analytics/overview)\n  * [Intent Classification](https://langfuse.com/docs/analytics/example-intent-classification)\n  * [Posthog Integration](https://langfuse.com/docs/analytics/posthog)\n* **Develop faster** by utilizing\n  * [Prompt Management](https://langfuse.com/docs/prompts/get-started)\n  * [Prompt Playground](https://langfuse.com/docs/playground)\n\n### **👇 Interested in learning more?**\n\n* ⭐️ Star us on [GitHub](https://github.com/langfuse/langfuse/) + follow along on [Twitter](https://twitter.com/langfuse) & [LinkedIn](https://www.linkedin.com/company/langfuse).\n* 👨‍💻 [Getting Started](https://docs.langfuse.com/)\n* [👷 How did we build Langfuse?](https://langfuse.com/blog/2024-12-langfuse-v3-infrastructure-evolution)\n* PS: [We’re Hiring!](https://langfuse.com/careers)",
        "url": "https://www.ycombinator.com/launches/MgN-langfuse-the-open-source-llm-engineering-platform",
        "votes": 18,
        "created_at": "2025-01-27T15:36:38.074Z"
      },
      {
        "id": 73214,
        "title": "🪢 Langfuse - Open-source product analytics for LLM apps",
        "tagline": "Track quality, cost and latency of your LLM apps",
        "body": "⭐ Star us on [**_Github_**](https://github.com/langfuse/langfuse/) & follow us on [**_Twitter_**](https://twitter.com/langfuse)\n\n**_TLDR_**_: _[**_Langfuse_**](https://www.langfuse.com/?utm_source=LaunchYC)_ is building open-source product analytics (think ‘Mixpanel’) for LLM apps. We help companies to track and analyze quality, cost and latency across product releases and use cases._\n\n![uploaded image](/media/?type=post&id=73214&key=user_uploads/1148936/d38a4a7c-edf5-469a-ad3f-7f7aef62a3a5)\n\nHi everyone, we’re Max, Marc and Clemens. We were part of the Winter 23 batch and work on [**Langfuse**](https://www.langfuse.com/?utm_source=LaunchYC), where we help teams make sense of how their LLM applications perform. \n\n### **🤯 Problem**\n\nLLMs represent a new paradigm in software. Single LLM calls are probabilistic and add substantial latency and cost. Applications use LLMs in new ways via advanced prompting, embedding-based retrieval, chains, and agents with tools. Teams building production-grade LLM applications have new **product analytics** and **monitoring** needs:\n\n* **Quality of outputs** is difficult to measure. Outputs can e.g. be inaccurate, unhelpful, poorly formatted, hallucinated or error.\n* **Cost of compute** is a priority again given high inference costs.\n* **Latency** of responses matters for synchronous use cases.\n* **Debugging is challenging** due to increasingly complex LLM applications (chains, agents, tool usage).\n* **Understanding user behavior** is difficult given open-ended user prompts and conversational interactions.\n\n### **🧠 Solution**\n\n![uploaded image](/media/?type=post&id=73214&key=user_uploads/1148936/75e00e56-33fa-4484-bf63-4bdf0394049d)\n\nLangfuse derives actionable insights from production data. Our customers use Langfuse to answer questions such as: _‘How helpful are my LLM app’s outputs? What is my LLM API spend by customer? What do latencies look like across geographies and steps of LLM chains? Did the quality of the application improve in newer versions? What was the impact of switching from zero-shotting GPT4 to using few-shotted Llama calls?’_\n\n**Metrics**\n\n* **Quality** is measured through user feedback, model-based scoring and human-in-the-loop scored samples. Quality is assessed over time as well as across prompt versions, LLMs and users.\n* **Cost and Latency** are accurately measured and broken down by user, session, geography, feature, model and prompt version.\n\n**Insights**\n\n* Monitor quality/cost/latency **tradeoffs** by release to facilitate product and engineering decisions.\n* **Cluster use cases** by employing a classifier to understand what users are doing.\n* Break down **LLM usage by customer** for usage-based billing and profitability analysis.\n\n**Integrations**\n\n* Python and Typescript SDKs to easily monitor complex LLM apps\n* Frontend SDK to directly capture feedback from users as a quality signal\n\n_Langfuse can be self-hosted or used with a generous free tier in our managed cloud version._\n\n### **🚧 Debugging UI**\n\n![uploaded image](/media/?type=post&id=73214&key=user_uploads/1148936/8d29b87f-8426-4eb1-be4e-6efbf9d4769f)\n\nBased on the ingested data, Langfuse helps developers debug complex LLM apps in production:\n\n* Inspect LLM app executions in a nested UI for chains, agents and tool usage.\n* Segment by user feedback to find the root cause of quality problems.\n\n### **🙏 Asks**\n\nStar us on [**GitHub**](https://github.com/langfuse/langfuse/) + follow along on [**Twitter**](https://twitter.com/langfuse) & [**LinkedIn**](https://www.linkedin.com/company/langfuse).\n\n* If you run an LLM app, go ahead and [**talk to us**](https://cal.com/marc-kl/langfuse-analytics), we’d love to see how we can be helpful.\n* Please forward [**Langfuse**](https://www.langfuse.com/?utm_source=LaunchYC) to **teams building commercial LLM applications**.",
        "url": "https://www.ycombinator.com/launches/J2s-langfuse-open-source-product-analytics-for-llm-apps",
        "votes": 28,
        "created_at": "2023-07-19T14:33:30.177Z"
      }
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  {
    "id": 27871,
    "name": "Extend",
    "slug": "extend",
    "former_names": [
      "CrowdView"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/184d30d91903380caada7f52cd7cd7992759e07b.png",
    "website": "https://www.extend.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Parse, extract, and split your hardest documents with unmatched accuracy. Read any layout with specialized vision models, and ship reliable pipelines in minutes, not months.",
    "one_liner": "Production-ready document processing",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1679062598,
    "tags": [
      "Documents",
      "Developer Tools",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/extend",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/extend.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/extend-app",
    "x_url": "https://twitter.com/extendHQ",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/184d30d91903380caada7f52cd7cd7992759e07b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 137869,
        "full_name": "Kushal Byatnal",
        "title": "Founder",
        "founder_bio": "2x technical founder interested in making it easy to build internal tools. Previously, I worked as an early engineer at Brex and then cofounded Stir, a creator fintech company that grew to hundreds of millions in payment volume.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kushal-byatnal-92a33085/",
        "x_url": "https://twitter.com/kushalbyatnal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ffbc77035467f2a55670b375c631a97cd63d9abd.jpg"
      },
      {
        "user_id": 1121959,
        "full_name": "Eli Badgio",
        "title": "Founder",
        "founder_bio": "Co-founder @ Extend",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eli-badgio/",
        "x_url": "https://twitter.com/ebadgio_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e76a78dbd63d57a5bf1aa189fc87146d3990faa.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Extend Raises $17 Million to Build the Document Processing Cloud | Extend",
        "url": "https://www.extend.ai/resources/series-a",
        "date": "Jun 17, 2025"
      }
    ],
    "launches": [
      {
        "id": 87403,
        "title": "📄 Extend - Unified Document Processing Platform",
        "tagline": "Turn messy documents into high quality data, achieve > 95% accuracy, and ship custom document pipelines in days, not months.",
        "body": "![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/a0dc2100-5072-45e4-92c3-d6088bf15bdf)\n\n# What is Extend in a nutshell?\n\nExtend provides document processing infrastructure, tooling, and APIs that enable technical teams to handle complex documents with state-of-the-art accuracy and reliability.\n\nCompanies like Chime, Brex, Flatiron Health, Opendoor, and Checkr use Extend for mission-critical document pipelines to achieve &gt; 95% accuracy on their hardest docs, and go live in days (not months).\n\n[Sign up to get started](https://dashboard.extend.ai/)\n\n# The Problem\n\nProcessing complex documents **is hard.** You have to deal with:\n\n* Difficult layout elements like tables, charts, handwriting, and signatures\n* Lengthy documents needing chunking and merging strategies\n* Extracting structured data with &gt; 95% accuracy across a variety of input formats\n* Optimizing outputs for LLM readability\n* Ensuring accuracy and reliability in production for critical use cases\n\n# Our Solution\n\nThere are plenty of OCR and document parsing options on the market. However, we noticed customers still struggling to deploy complex use cases when accuracy requirements are high (&gt; 95%). This is because OCR and parsing is only one part of the problem, and real world use cases need to bridge the gap between raw outputs and production-ready data.\n\nExtend uniquely solves this by unifying models, infrastructure, and tooling into a single platform for end to end document processing.\n\nThis includes:\n\n* Process any document format with state-of-the-art parsing powered by VLMs and OCR\n* Capture precise data with multi-step extraction powered by semantic chunking, bounding boxes, and citations\n* Tackle the most complex use cases with processing modes for document parsing, classification, extraction, and splitting\n* Deploy faster with low code tooling that empowers your entire team to quickly iterate, review results, and improve accuracy\n* Continuously improve results with fine-tuning pipelines that turn reviewed corrections —&gt; custom models\n\nFor example, Extend’s built-in evaluation tools to help you benchmark performance, improve accuracy, and deploy with confidence.\n\n![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/801788f4-a72c-4d1a-8dd0-d4e9f9f18436)\n\nOur customizable document splitter identifies each distinct section and their relationships according to your instructions. This is critical when ingesting lengthy documents (or multi-document packages).\n\n![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/f0c2726e-b58f-42fc-8a9a-2b5294c5751d)\n\nHere’s an example of zero-shot table extraction on a complex healthcare doc. What enables this is vision models specialized for tabular structures, working alongside our bounding box citations & human-in-the-loop review system.\n\n![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/df2d9e80-2ade-4730-98ed-f0a15f942450)\n\n# Hear it from our customers\n\nMatt Hodgson, CTO at Vendr:\n\n> We did a bakeoff, and Extend had the best results of any solution on the market. It eliminates an entire class of engineering problems around accuracy we don’t want to worry about.\n\nAdam Litton, Staff Engineer at Checkr:\n\n> Extend eliminates the maintenance cost of model tuning, scoring, evaluations, and more. We’re able to focus on our core experience instead of managing the infra.\n\nFabio Fleitas, CTO at Tesorio:\n\n> I don’t know what you guys are doing under the hood, but it’s so much more accurate than any other tool we’ve tried.\n\n# Get Started\n\nIf you’re building document processing pipelines with high accuracy requirements, get in touch with us!\n\n* [Book a demo](https://extend.cal.com/extend/extend-intro-call)\n* Email us at [founders@extend.app](mailto:founders@extend.app)",
        "url": "https://www.ycombinator.com/launches/Mjj-extend-unified-document-processing-platform",
        "votes": 34,
        "created_at": "2025-02-04T15:46:20.176Z"
      },
      {
        "id": 73038,
        "title": "Extend - Build AI-powered workflows for unstructured data",
        "tagline": "Intelligently process documents, emails, images, and more with powerful tools for extraction, classification, and analysis.",
        "body": "**TLDR;** Extend makes it easy to process unstructured data in the form of PDFs, images, emails, and more. Build workflows that combine LLMs, business logic, integrations, and human-in-the-loop confidence - all without a line of code.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/8f86f279-0f42-4ab8-891d-a0ef4df19126)\n\n**The problem**\n\nVast amounts of data is often locked away inside messy PDFs, images, or emails and companies often build entire operational workflows around trying to manage and understand it. Humans have to do the tedious manual work of organizing and parsing all of it, but that’s just the start. To make use of that data, workflows have to be built around classification, validation, deduplication, fraud & spam checks, anomaly detection, manual audits, and so much more.\n\n**How Extend works**\n\nExtend comes with a set of building blocks to manage workflows around unstructured data. It can be used both:\n\n* **internally** to manage and automate complex operations (e.g. back office ops/fraud/support/finance use cases)\n* **externally** in your product (e.g. drop in a embeddable component to collect, classify, and validate documents uploaded by your end users in real time)\n\nHere’s how:\n\n**Combine** LLMs with business logic, validations, and integrations.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/ff3801ab-d622-4938-92bd-417d55d22fec)\n\n**Build** custom workflows that mirror your internal operations, and let them run on autopilot.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/caccc352-e74d-45cb-a579-581746f4bc00)\n\n**Deploy** confidently into production with built-in confidence scoring and human-in-the-loop flows.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/2c18cecb-152f-4c89-9d2f-0b9648b07aba)\n\n**Integrate** via our API, dashboard, or even embed Extend natively in your user-facing product.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/3f48afc3-0b2f-46a0-b066-bf3ded6cf8c6)\n\n\n### **Get Started**\n\n[**Sign up**](https://www.extend.app/) on our website! Right now, we’re running a special deal + priority onboarding and support.\n\n### **Asks**\n\n* We’re growing quickly and looking to hire ex-founders (please reach out)!\n* Follow us on [**Twitter**](https://twitter.com/extendhq) and [**LinkedIn**](https://www.linkedin.com/company/extend-app/?viewAsMember=true) to stay in touch\n* We love any and all kinds of feedback",
        "url": "https://www.ycombinator.com/launches/J02-extend-build-ai-powered-workflows-for-unstructured-data",
        "votes": 26,
        "created_at": "2023-07-13T19:36:11.447Z"
      },
      {
        "id": 70372,
        "title": "Extend - Build internal Chrome extensions that give your team superpowers",
        "tagline": "Ship internal tools that reduce context switching, eliminate copy/pasting, and customize any website your team relies on.",
        "body": "### **TL;DR**\n\nExtend is a low code developer tool that makes it easy to build internal chrome extensions for your company.\n\nFor example, **support teams** can solve tickets faster with custom buttons that call internal APIs, draft responses, and bring GPT-4 into the loop.\n\n![uploaded image](/media/?type=post&id=70372&key=user_uploads/137869/d1322b76-0479-474e-b51d-96e26317ce37)\n\n**Sales teams** can customize their CRM with real-time database queries and UI overlays.\n\n![uploaded image](/media/?type=post&id=70372&key=user_uploads/137869/7db4d9cb-69f4-4308-a918-71f49991ffc5)\n\n**Give your company superpowers in 15 minutes.**\n\nExtend gives your developers building blocks so they can build these types of workflows in 15 minutes.\n\nWe provide:\n\n1. tons of pre-built modules (e.g. extract info from the page via GPT-4, inject a button in to the DOM)\n2. beautiful UI components\n3. secure connections to your database + internal APIs\n4. one-click instant deployment to your team\n\nJust write your custom business logic and wire up the flow, we’ll handle the rest.\n\n**Extend is a better way of building internal tools.**\n\nI’ve spent years working in fintech and built a ton of internal tooling for support and operations teams. But using most internal tools today requires a ton of copy/pasting and context switching, which any support or operations team will tell you is the bane of their existence. Chrome Extensions enable your internal tools to live _inside_ the apps where your teams already spend 90% of their time today.\n\nAnd now with GPT-4, your teams can activate supercharged workflows within the context of your existing tools.\n\n**Get Started**\n\n* For the first 5 companies that [sign up](https://tally.so/r/w2Xx5L), we’ll build your internal chrome extension for you with **no engineering resources needed on your end**!\n* Send a note to [kushal@extend.app](mailto:kushal@extend.app) if you have feedback / want to chat",
        "url": "https://www.ycombinator.com/launches/IJ2-extend-build-internal-chrome-extensions-that-give-your-team-superpowers",
        "votes": 75,
        "created_at": "2023-03-17T14:16:56.849Z"
      }
    ]
  },
  {
    "id": 27873,
    "name": "Floworks",
    "slug": "floworks",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b971472cf0d2638ad01eeaaf35f5a56a8abd2541.png",
    "website": "https://floworks.ai/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Floworks (https://floworks.ai) is building a suite of AI employees that helps business to run several business functions such as sales, on autopilot.\r\n\r\nOur flagship product, Alisha is an AI SDR that performs the full outbound SDR job- fully autonomously without any human involvement. \r\n\r\nOur AI SDR Alisha can perform ICP research, find out prospect lists, research about each prospect across 180 web sources, write highly personalized emails to each, follow and engage, and finally coordinate like a human to book sales calls.\r\n\r\nBusinesses using Alisha get 3 key benefits:\r\n1.⁠ ⁠They get 12x output from your existing sales team.\r\n2.⁠ ⁠⁠Are able to scale to 8 figure revenues with just a single AE.\r\n\r\nAlisha is built on our proprietary function calling model ThorV2 (https://floworks.ai/research) that outperforms both Claude 3 and GPT-4 function calling in accuracy by 13% and 43% respectively. At the same time, ThorV2 uses only a fraction of the cost (<40%) and time/latency (<78%) as the other models.\r\n\r\nOur second AI employee, Ashley, is an AI Executive Assistant that keeps you reminded and on top of your on your schedule. Works on your whim- just command Flowy to book a meeting, move a meeting or write a email, and it does without you having to navigate through every apps. You can teach Flowy specific workflows such as ‘inform me immediately if i receive a reply from xyz’, “show my unread emails from last day every morning 7am” and much more\r\n\r\nOur third AI employee, Romona is a helpful AI Revenue Operations Manager that keeps track of every CRM data updation on behalf of your team, works on your instruction to update notes, next steps, MEDDIC after every call, does periodic CRM reporting and much more.",
    "one_liner": "Hire the best AI Sales employees | AI SDR | AI RevOps | AI EA",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1678165264,
    "tags": [
      "Generative AI",
      "Productivity",
      "Sales",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "South Asia",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/floworks",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/floworks.json",
    "year_founded": 2022,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/floworkssolutions",
    "x_url": "https://twitter.com/Floworks4",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 767160,
        "full_name": "Sarthak Shrivastava",
        "title": "Founder",
        "founder_bio": "An 2X entrepreneur and problem solver with experience in the e-commerce, logistics, and financial services industries of India, Singapore, and Philippines markets. I have built and scaled multiple business verticals in now unicorn startups in India with annual revenues of over US$30M.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sarthak-shrivastava/",
        "x_url": "https://twitter.com/sarthaks92",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e0b04e496a997be434709a07d603907245c4456.jpg"
      },
      {
        "user_id": 1052632,
        "full_name": "Sudipta Biswas",
        "title": "Founder",
        "founder_bio": "I'm a startup junkie, who loves to build stuffs. I'm passionate about physics and technology, I previously built an AI referee, holds a patent and journal publication.\n\nI am a graduate of Indian Institute of Technology Kharagpur (IIT Kgp). I started my career at Goldman Sachs as a Quantitative Strat. My first startup was Engphile Labs where I utilised AI to solve umpiring errors in live sports. I have also built multiple tax filing products for India’s business at Cleartax.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sudipta-biswas/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/265e006088e2d3eccf183c62a60170c7a01912cd.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "YC-backed Indian Startup Claims its AI Agent is Better than OpenAI’s GPT-4o",
        "url": "https://analyticsindiamag.com/aim-exclusive-yc-backed-indian-startup-claims-its-ai-agent-is-better-than-openais-gpt-4o/",
        "date": "Jul 19, 2024"
      },
      {
        "title": "Floworks is building an AI assistant to change how workers interact with software | TechCrunch",
        "url": "https://techcrunch.com/2023/08/31/floworks-is-building-an-ai-assistant-to-change-how-workers-use-software/",
        "date": "Aug 31, 2023"
      }
    ],
    "launches": [
      {
        "id": 86791,
        "title": "Floworks AI SDR: Alisha v2",
        "tagline": "Alisha v2 automates the entire outbound sales workflow —lead research, sequencing, objection handling, followups. ",
        "body": "**TL;DR**\\\nIn the v2 of [Floworks](https://floworks.ai/) AI SDR,\n\n1. **High Precision Lead Research:** Alisha AI SDR performs hyper-focused research on prospects by connecting with 10+ sales databases and finding intent signals across 20+ sources.\n2. **Run sequencing across email and LinkedIn _simultaneously_**: Reach, engage, sequence your prospects over both email and linkedin.\n3. **Automated objection handling:** Objection/question/query- our AI SDR handles all responses. Every response is grounded in your business data.\n4. **Automate meeting scheduling:** Our AI SDR, being linked with your calendar, can coordinate on your behalf to book meetings fully _autonomously_.\n5. **Two way CRM Sync:** Alisha AI SDR keeps your CRM updated with every outreach sequencing data. It also runs new campaigns automatically based on the deal progression.\n\nTo get started with Alisha AI SDR, book an intro call with us [here](https://calendly.com/alisha-2ome/30min?embed_domain=floworks.ai&embed_type=Inline&hide_landing_page_details=1&hide_gdpr_banner=1&text_color=000000&primary_color=9209f3&back=1&month=2024-11). We are offering 10% additional discount (with annual plans) on the [listed price](https://floworks.ai/pricing) for customers coming through YC listing.\n\n### **High Precision 🎯 Lead Research**\n\nAlisha AI SDR goes beyond traditional spray and paint approach. With a ChatGPT like interface, you can instruct Alisha to find and pinpoint the exact lead persona.\\\\\n\n* “Find me VP of Sales at UK based healthcare SaaS companies that have recently entered a deal with NHS”\n* “Find me VP of Sales of Fintech companies that recently got Federal Reserve licenses” \n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/d26f8751-b536-46c7-85d1-1f72a3d9888f)\n\n### **Multi Channel (Email+Linkedin) Sequencing**\n\nThe \"Media Synergy\" principle says that advertising impact is enhanced when consumers encounter messaging across multiple touchpoints, as each channel reinforces and complements the others.\n\nYes! That quite literally is this feature.\n\nIf your prospect does not respond to emails, Alisha reaches out over Linkedin. If your prospect asks for contracts, Alisha switches back to email again- all while maintaining the context of the conversations.\n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/9abc5fa8-287e-46e4-a210-b7ccefbf0d62)\n\n_Prospect: Ujjwal, while Aishwarya is communicating through our AI SDR product Alisha_\n\n### **Instant ⚡ Objection Handling with Grounded AI response**\n\nHow many times have we seen leads dying off because we couldn’t reply to them in time. _A recent HBS study says any response after 15 min of receiving a query reduces the chances of conversion by 80%._ Hence, we introduce Instant Objection Handling.\n\n_Here’s how it works:_\n\nWhile setting up the sequence, you provide AI SDR (a.k.a. Alisha) with all and any of your product/sales info. Supported format of files includes **PDF, Websites, CSV, Plain text, Docs.**\n\nNow, lets say your prospect asks a question “How much does your pricing look like?”, “Can you share some case studies relevant to our industry”. Our AI looks into all the documents and provides an answer. In case it does not find the answer, it does not hallucinate, instead alerts the user.\n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/020e1df3-1465-414d-8cc0-dd5f1d10be3e)\n\n> We ensure our model doesn't hallucinate and always provides grounded answers by using our proprietary function calling engine, Thor v2. Read More about this on our [Arxiv paper](https://arxiv.org/abs/2410.17950v1)\n\n### **Calendar Coordination without Calendly**\n\nSending over Calendly links and asking your prospect to book is never considered a sales best practice. First of all, it shifts the burden of work to the prospect (they have to click through, check your availability, and book). And naturally many people won't take the effort, so conversion suffers.\\\n\\\nPlus, in many cultures and settings, it's actually considered rude. It's like saying \"have your people call my people\". \\\n\\\nSo here we come. Alisha AI SDR is integrated with your calendar and goes on to suggest vacant slots to the prospects. Based on the response of the prospect, Alisha AI SDR coordinates like a human and books a meeting accordingly.\n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/00fe4265-117c-432e-afcc-f53826036dae)\n\n_Prospect: Ujjwal, while Aishwarya is communicating through our AI SDR product Alisha_\\\n\\\n**Further** **Improvements on v1**\n\n### **Even more control in Composing Messages**\n\nWe found out that AI is not really great at composing Sales emails. However, it is great at collating information from multiple sources and plugging them appropriately in a specific format.\n\nSo, we decided to give the control back to the user. Instead of having Alisha AI SDR write up email from scratch, we provide multiple “recipes” (a.k.a. collection of best cold email formats). Alisha can start from a template and then create personalised copies based on the profiles of each lead.\n\nAlisha can now plug in inline images, links seamlessly in the email body.\n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/64ccb343-eb07-4751-b5ca-bd135cf6bab3)\n\n**To get started, book an intro call with us **[**here**](https://calendly.com/alisha-2ome/30min?embed_domain=floworks.ai&embed_type=Inline&hide_landing_page_details=1&hide_gdpr_banner=1&text_color=000000&primary_color=9209f3&back=1&month=2024-11)**.**",
        "url": "https://www.ycombinator.com/launches/MZr-floworks-ai-sdr-alisha-v2",
        "votes": 9,
        "created_at": "2025-01-13T20:18:58.956Z"
      },
      {
        "id": 69995,
        "title": "Floworks: Close more deals with CRM on Slack",
        "tagline": "Update CRM, take meeting notes, get reminded of important follow-ups, send customer emails - all from Slack channels.",
        "body": "**TLDR: Floworks helps sales teams close more deals and stay on top of leads by bringing their CRMs over Slack. For example, after an important sales meeting, a rep can post the summary via slack instead of waiting to get back to their desk to log into Salesforce or HubSpot.**\n\n![uploaded image](/media/?type=post&id=69995&key=user_uploads/1052632/6a48f096-7350-48b0-9cbf-87c889ef35c9)\n\n🤔 **The Problem:**\n\n20% of every salesperson's time is spent doing CRM updates, follow-ups, and administrative tasks. **This time could have been spent doing actual sales.**\n\nEven after investing such time and effort in CRM, have you ever wondered\n\n* **how many crucial follow-ups did your team miss last week?**\n* **how many valuable contacts never converted into opportunities?**\n* **how many lucrative deals slipped through the cracks because of neglected logs and updates?**\n\n**👤Who is it for:**\n\nEvery B2B companies starting with 2 person sales team (like founder led sales)  to 100 and beyond.\n\n## [😊](https://emojipedia.org/smiling-face-with-smiling-eyes/)**The Solution:**\n\nSales teams today live and breathe on Slack. Floworks brings your entire CRM on top of Slack.\n\nIt does so by integrating your existing CRMs like Salesforce, HubSpot and Pipedrive with your Slack workspace. \n\n![](https://www.ycombinator.com/media/?type=post&id=69995&key=user_uploads/1052632/1bce61f1-ed81-435d-abb1-93171ca4b0f8)\n\n**Benefits for Sales teams:**\n\nWith Floworks, sales teams can set up customized flows that\n\n1. Notify about critical tasks like customer follow-ups, stuck deals, escalations etc.\n2. Keeps the team and leaders on top of high value deals in slack based dealrooms.\n3. Alerts the team in timely manners for leads going cold.\n4. Enable you to send customer emails, set up meetings, follow-up tasks- all from Slack.\n\nand much more.\n\nAll our slack alerts are bi-directional in nature. What it means is that you don’t just get notified but **are also able to update, or take follow-up actions (such as moving the deal stage, sending customer emails, updating close date etc.) right from Slack.**\n\nAnd because it’s Slack, the whole team can instantly collaborate on the deal simplifying activities like coaching BDRs and AEs, highlighting key issues, collaborating to solve them etc.\n\n**Benefits for Salespersons:**\n\nWith Floworks, sales folks reclaim **45 minutes to 1 hour everyday**, earlier spent in manual CRM updates, by:\n\n1. Quickly adding contacts, accounts and deals.\n2. Searching and updating deal status and information.\n3. Logging meeting notes.\n4. Seeking approval or escalate issues.\n\nand more- all by giving natural language commands directly from Slack.\n\n![](https://www.ycombinator.com/media/?type=post&id=69995&key=user_uploads/1052632/7f183864-f995-40ce-812d-eaad233abd0f)\n\nWith Floworks there are no more Hubspot or Salesforce related delays. No more manager intervention and follow ups for updating CRMs.\n\nOur customers have told us that they they are closing **15-25%** more deals every month with Floworks.\n\n**Fave features of our customers:**\n\n* Getting setup in minutes with pre-built automations off the block:\n  * Get reminded of pending tasks every morning for each deals.\n  * Get reminded of stuck deals in custom slack channels\n* Add contacts and accounts into CRM on the go- directly from Slack.\n\n**Asks:**\n\nStart using Floworks immediately, and in return, we promise improved sales. \n\nSign up at <https://floworks.ai>.\n\nBook a meeting with us [here](https://meetings.hubspot.com/sudipta-biswas).",
        "url": "https://www.ycombinator.com/launches/ICx-floworks-close-more-deals-with-crm-on-slack",
        "votes": 531,
        "created_at": "2023-03-07T05:01:24.665Z"
      }
    ]
  },
  {
    "id": 27874,
    "name": "Relace",
    "slug": "relace",
    "former_names": [
      "Squack"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c83e10451bd21c42a36788ca979818d811eb4cad.png",
    "website": "https://relace.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Relace makes it easy to deploy production-ready coding agents. Our models are co-optimized with infrastructure to achieve SoTA performance: 10k+ token/s code merging and retrieval across million-line repositories in seconds.",
    "one_liner": "Models and infra for coding agents",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1679954526,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/relace",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/relace.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/relace-ai",
    "x_url": "",
    "fb_url": null,
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1186724,
        "full_name": "Preston Zhou",
        "title": "Founder",
        "founder_bio": "Physics -> ML",
        "is_active": true,
        "linkedin_url": "",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e946c9e3bf895084be4302681dcb2a493eb08d7.jpg"
      },
      {
        "user_id": 1187298,
        "full_name": "Eitan Borgnia",
        "title": "Founder",
        "founder_bio": "Former PhD student in machine learning at UChicago, with a math degree from Caltech.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eitan-borgnia/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef31fdf11081bc63e1eb96560e8858f452157c2a.jpg"
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    ],
    "jobs": [
      {
        "id": 75942,
        "title": "Machine Learning Scientist",
        "url": "https://www.ycombinator.com/companies/relace/jobs/BiIbkUO-machine-learning-scientist",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Research",
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81105,
        "title": "GTM Engineer",
        "url": "https://www.ycombinator.com/companies/relace/jobs/9cATbuj-gtm-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Relace Raises $23M to Build the Rails for Software On Demand",
        "url": "https://www.relace.ai/blog/series-a-announcement",
        "date": "Oct 08, 2025"
      }
    ],
    "launches": [
      {
        "id": 90339,
        "title": "Relace - Cheaper, faster, and more reliable AI code generation.",
        "tagline": "Kicking off with Instant Apply, Code Reranker, and Embeddings",
        "body": "Hey everyone 👋 -- we're Preston and Eitan, the cofounders of [Relace](https://relace.ai).\n\n**TL;DR:**\n\nRelace models are designed to slot naturally into most AI codegen products, making them faster, cheaper, and more reliable. We already have SOTA:\n\n* Embedding + Code Reranker models to retreive the relevant context from million-line codebases in \\~1-2s.\n* Instant Apply model that merges code snippets at &gt;4300 tok/s.\n\nWe're in production with **Lovable**, **Magic Patterns**, **Codebuff**, **Create**, **Tempo Labs**, and 20+ other AI codegen startups. Watch our Instant Apply model race against full file rewriting with Claude 3.7 Sonnet:\n\nhttps://www.youtube.com/watch?v=J0-oYyozUZw\n\n**Problem:**\n\nAgentic coding systems are easy to prototype, but hard to make robust. As users succeed at creating more complex designs/applications, you hit bottlenecks:\n\n* Larger codebases require efficient context management -- you can't pass everything to the AI agent.\n* Slow and expensive full file rewrites need to be replaced with abbreviated diff formats.\n\nFrontier models (like Claude 3.7, o3, etc.) are powerful, but overkill for these auxiliary functions like retrieval and merging. Costs start to add up, especially when every agent action hits an API with thousands of tokens in and out. Plus, non-technical users are easily frustrated by high latency, especially if they are trying to refine small aspects of the code they created.\n\n**Solution:**\n\nRelace models are trained to achieve order-of-magnitude improvements in both latency and cost without compromising on accuracy.\n\n_Instant Apply_\n\nReleased in February, this model merges semantic code snippets at 4,300 tokens/sec with an average end-to-end latency of \\~900ms across our users.\n\n![uploaded image](/media/?type=post&id=90339&key=user_uploads/1187298/38144690-e758-43dd-b591-be0481a47c33)\n\nInspired by Cursor's Fast Apply, the semantic diff format is chosen to be natural for all models to output. A simple prompt change combined with Instant Apply can reduce Claude 3.5/3.7 token usage by \\~40%.\n\nWe train on hundreds of thousands of code merges across dozens of different coding languages to achieve SOTA accuracy:\n\n![uploaded image](/media/?type=post&id=90339&key=user_uploads/1187298/3ed1d45b-1f70-4cc2-836e-d7c4a3dae817)\n\n_Embeddings and Reranker_\n\nOur embedding model + reranker can determine the relevance score for a user request against million-line codebases in \\~1-2s. By training on hundreds of thousands of query/code pairs, we can effectively filter out irrelevant files and cut input token usage by over 50%.\n\n![uploaded image](/media/?type=post&id=90339&key=user_uploads/1187298/884ed0af-04c3-49e1-a92b-7e53ca81ad1b)\n\nNot only does this save on cost, but cleaning up the context window significantly improves generation quality of the AI agent.\n\n**Try It Out:**\n\nBoth of these models are battle tested and running millions of times a week in production. You can read more and try it out for yourself with the links below.\n\nApp: [https://app.relace.ai](https://app.relace.ai%5C) Docs: https://docs.relace.ai\n\nWe have a free tier for small projects, and we offer discounted rates for open source partners like our friends at Continue.\n\nDon't hesitate to reach out if you're optimizing your coding agent — we would love to hear your thoughts, feedback, and what you're building!",
        "url": "https://www.ycombinator.com/launches/NV5-relace-cheaper-faster-and-more-reliable-ai-code-generation",
        "votes": 18,
        "created_at": "2025-05-13T05:02:12.002Z"
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    "id": 27875,
    "name": "Aqueduct",
    "slug": "aqueduct",
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    "website": "https://aqueduct.sh",
    "all_locations": "Pittsburgh, PA, USA",
    "long_description": "Aqueduct is a browser-based procedural material engine and editor.\r\n\r\nThink Substance Designer, with live-sync to Unreal, agents that can read and edit material graphs, and shareable links to those graphs.",
    "one_liner": "Create, edit, and share procedural material graphs.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1674524413,
    "tags": [
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      "Gaming",
      "Design Tools",
      "AI"
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    "nonprofit": false,
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    "regions": [
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/aqueduct",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/aqueduct.json",
    "year_founded": 2022,
    "city": "Pittsburgh",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/92719250/",
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        "full_name": "Matthew Turnshek",
        "title": "Founder",
        "founder_bio": "Matthew Turnshek is the founder and CEO of Aqueduct.",
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        "linkedin_url": "https://www.linkedin.com/in/matthew-turnshek-4bb618174/",
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    "id": 27876,
    "name": "Propexo",
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    "website": "https://propexo.com",
    "all_locations": "Boston, MA, USA",
    "long_description": "Propexo lets engineers build, test, and launch CRE software integrations in days, not months. We modernize the developer experience for our customers, providing clear documentation and robust infrastructure to support the needs of property owners, property managers, & proptechs.",
    "one_liner": "Plaid for Commercial Real Estate",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1667590103,
    "tags": [
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    "app_video_public": false,
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        "answer": "Plaid for the Property Management Industry"
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    "url": "https://www.ycombinator.com/companies/propexo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/propexo.json",
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    "country": "US",
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        "user_id": 970556,
        "full_name": "Nick Johnson",
        "title": "Founder",
        "founder_bio": "Hacker & builder. Currently focused on building the unified API to accelerate innovation in real estate.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nickolasjohnson/",
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      {
        "user_id": 997737,
        "full_name": "Ben Keller",
        "title": "Founder",
        "founder_bio": "Started my career in real estate private equity before getting the tech bug. Was the first PM building HubSpot's CRM, now trying to change the proptech landscape with Propify. In my free time I love to run, read, play golf, and travel to new places.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-keller-24309644/",
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    "jobs": [],
    "news": [
      {
        "title": "Property Management Startup Propify Closes $3.3M Seed Funding Round – Commercial Observer",
        "url": "https://commercialobserver.com/2023/10/property-management-propify-seed/",
        "date": "Oct 10, 2023"
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    "launches": [
      {
        "id": 69838,
        "title": "Propify: Plaid for Real Estate 🏢",
        "tagline": "Propify's API enables companies to integrate with the data that powers the world of professionally managed real estate.",
        "body": "# 📚 TL;DR\n\n**The professionally managed real estate market is massive**. Unfortunately, it is difficult to sell products or services to this market because the systems of record are legacy software vendors with bad APIs. Propify's API allows companies to integrate with these systems in weeks, not years.\n\n![uploaded image](/media/?type=post&id=69838&key=user_uploads/997737/fbfa8b9c-aac6-449d-af99-d9696611c11e)\n\nHey everyone! We're Remen, Nick, and Ben from [Propify](http://www.getpropify.com). We entered the proptech world in 2020 and quickly realized the single biggest problem was accessing the data from the major systems of record.\n\n# ⚠️ **The Problem: Fragmentation and Legacy Software** \n\nThe managed real estate market includes 290k companies, 80M tenants, and $300B in rent payments. This market is not only for \"proptechs.\" Amazon, Lowes, and Progressive Insurance actively sell into the space. \n\nThe most significant headwind to innovation has been the effort to integrate with the systems of record: Property management software. \n\nIt is a fragmented market where SOAP APIs are the norm and documentation is rarely available. In addition, companies like Zuma (S21) have entire teams managing these integrations - they often take years to build the complete list.\n\n  \n\n# 👨‍🔬 **The Solution: A unified API**\n\nPropify's API and unified data model allow a company to integrate with the six most prominent players in weeks.\n\nAdditionally, we provide modern developer tooling like Webhooks, which is largely missing from the native integrations.\n\n# 👨‍🔬 **How it works:**\n\nWith Propify, you integrate once to access all of our supported integrations. In addition, our REST API is well documented, and we simplify integrating and scaling your company with additional tooling that your engineers will love!\n\n![uploaded image](/media/?type=post&id=69838&key=user_uploads/997737/49132478-7f99-47d2-985d-562b77f4f415)\n\nA company can manage the systems and integrated buildings through its Propify Portal. They can also manage users, export datasets, and set up Webhooks.\n\n![uploaded image](/media/?type=post&id=69838&key=user_uploads/997737/d543d0d9-66a4-43af-91b1-774a8a9867e1)\n\n\n# 🙋 **Propify is for: Almost Everyone**\n\nThis market is significant - tens of millions of renters live in professionally managed housing + hundreds of thousands of property management companies that need services. Examples of tools that do well in the space:\n\n🏢 Proptech\n\n🏗 Construction tech\n\n💸 Payments\n\n👨‍💼 Insurance\n\n🖥 Marketing\n\n🏷 Sales\n\n🎧 Support\n\n✅ Productivity\n\n📈 Reporting\n\n📞 Communication tooling\n\n🚗 Transportation\n\n❓ Unsure? Reach out at [hello@propifyapp.com](mailto:hello@propifyapp.com)\n\n# 😇 **Our Ask:**\n\n* Reach out to [sales@propifyapp.com](mailto:sales@propifyapp.com) and say hi!\n* Send any proptech company you know our way.",
        "url": "https://www.ycombinator.com/launches/IAQ-propify-plaid-for-real-estate",
        "votes": 21,
        "created_at": "2023-03-01T20:02:16.632Z"
      }
    ]
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    "id": 27877,
    "name": "OpenMeter",
    "slug": "openmeter",
    "former_names": [
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      "OpenMeter",
      "OpenMeter.io"
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    "website": "https://openmeter.io",
    "all_locations": "",
    "long_description": "OpenMeter's mission is to standardize metering with the goal of becoming the data source for AI and API monetization. We've built an open-source platform that processes billions of events into our usage lake in a matter of seconds, which acts as the backbone that serves revenue and efficiency teams.",
    "one_liner": "Usage Metering, AI & API Monetization",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1675969599,
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
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    "regions": [
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      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/openmeter",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/openmeter.json",
    "year_founded": 2023,
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    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/openmeter",
    "x_url": "https://twitter.com/openmeterio",
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    "github_url": "https://github.com/openmeterio",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 112934,
        "full_name": "Peter Marton",
        "title": "Founder",
        "founder_bio": "Hi, I'm Peter. I worked on Stripe's usage and cost platform and built Netflix's serverless infrastructure. Earlier, I co-founded RisingStack, a Node.js performance monitoring company. I recently co-founded OpenMeter.io to help AI & API companies monetize their usage.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/petermarton",
        "x_url": "http://twitter.com/slashdotpeter",
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      },
      {
        "user_id": 1163072,
        "full_name": "Andras Toth",
        "title": "Founder",
        "founder_bio": "Andras is coming from an enterprise cloud and Kubernetes platform company Banzai Cloud (acquired by Cisco) where he mainly worked on the company's service mesh product, Backyards (renamed to Calisti). Previously, he worked at DataCamp and RisingStack & participated in Google Summer of Code two times.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andrás-tóth/",
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    "news": [
      {
        "title": "Kong Acquires OpenMeter to Bring API and AI Monetization to the Agentic Era  | Kong Inc.",
        "url": "https://konghq.com/blog/news/kong-acquires-openmeter",
        "date": "Sep 03, 2025"
      },
      {
        "title": "OpenMeter makes it easier for companies to track usage-based billing | TechCrunch",
        "url": "https://techcrunch.com/2024/03/12/openmeter-makes-it-easier-for-companies-to-track-usage-based-billing/",
        "date": "Mar 12, 2024"
      }
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    "launches": [
      {
        "id": 72230,
        "title": "OpenMeter.io: Real-time and scalable OSS metering",
        "tagline": "Usage Metering for AI, Billing, Infrastructure, and IoT use-cases.",
        "body": "[OpenMeter.io](http://OpenMeter.io) is an open-source real-time usage metering solution to power SaaS, Billing, and IoT use cases. OpenMeter can collect and meter millions of events per second. It integrates seamlessly with cloud infrastructure components, making it an ideal solution for DevTool, AI, and IoT applications with Usage-Based-Pricing (UBP) or event-driven analytics requirements.\n\nCheck out [OpenMeter on GitHub](https://github.com/openmeterio/openmeter)\n\n![uploaded image](/media/?type=post&id=72230&key=user_uploads/1163072/fb0d1720-b48f-4e25-bf33-03306006f9c7)\n\n### **Why does it matter?**\n\nAs the PLG (Product-Led Growth) motion gains momentum and the macroeconomic landscape limits growth potential with seat-based pricing, many companies are adopting usage-based pricing models, requiring accurate metering. Looking ahead, it is expected that the majority of SaaS products will offer AI capabilities. To effectively cover costs and generate revenue, these companies must meter AI usage and attribute it to their customers.\n\n[See common OpenMeter Use Cases](https://openmeter.io/use-cases?utm_source=newsletter&utm_medium=email&utm_campaign=yc)\n\n### **The Metering Challenge**\n\nUsage metering requires accurately processing **large volumes** of events in **real-time** to power billing use cases and modern data-intensive applications like DevTool, AI, and IoT.\n\nIt’s challenging for engineers to balance out scale, accuracy, latency, and cost as:\n\n* [🎈](https://emojipedia.org/balloon/) Monitoring systems fall short in terms of accuracy and consistency necessary for billing\n* 💸 Scaling databases to handle large volumes of writes and real-time queries can be expensive\n* [⏳](https://emojipedia.org/hourglass-not-done/) Warehouses processing leads to stale usage data and longer feedback cycles\n* [💼](https://emojipedia.org/briefcase/) Building out streaming aggregation requires experience in handling idempotency and failures\n\nCompanies need to extract usage data from various cloud infrastructure components (Kubernetes, AWS, etc.), vendors (OpenAI, Twilio, etc.), and hardware components to attribute metered usage to their customers.\n\n### **The Solution: OpenMeter**\n\n![uploaded image](/media/?type=post&id=72230&key=user_uploads/1163072/c04f742b-747e-4490-b2b4-57f162d55f4b)\n\n[Watch the demo video](https://www.loom.com/share/bc1cfa1b7ed94e65bd3a82f9f0334d04)\n\nA real-time, open-source, and infrastructure-first metering solution that you can start quickly and grow with rapidly:\n\n* **Real-time Metering**: Instant aggregations and queries\n* **Scalable Ingestion**: Handles millions of usage events per second\n* **Accurate**: Precise metering for billing and industry use-cases\n* **Fault Tolerant**: Built-in idempotency, event backfills, and meter resets\n* **Infrastructure plugins**: Usage ingestion plugins for Kubernetes, AWS, etc.\n* **RevOps plugins**: Integrations for Billing (Stripe), CRM, and data warehouses\n\nWe aim to make OpenMeter the standard to collect and share usage across many solutions and providers.\n\n[Check out OpenMeter on GitHub](https://github.com/openmeterio/openmeter)\n\n### **About the Tech**\n\nUnder the hood, OpenMeter harnesses the power of Kafka to deliver billing-grade and scalable metering. Its idempotent event ingestion uses the CloudEvents specification managed under CNCF. The usage metering aggregations are configurable, which allows tracking specific event properties on various time windows. OpenMeter is available on GitHub (published under the Apache 2.0 Open Source license).\n\n[Check out the OpenMeter Examples](https://github.com/openmeterio/openmeter/tree/main/examples)\n\n### **Join the OSS Community**\n\n* [Follow OpenMeter on GitHub](https://github.com/openmeterio/openmeter)\n* [Check out the Roadmap](https://openmeter.io/?utm_source=newsletter&utm_medium=email&utm_campaign=yc#roadmap)\n* [Contact Us](https://us10.list-manage.com/contact-form?u=c7d6a96403a0e5e19032ee885&form_id=fe04a7fc4851f8547cfee56763850e95)\n\nOpenMeter is built with ❤️ by Tailfin and experience from Netflix, Banzai Cloud, and Stripe.",
        "url": "https://www.ycombinator.com/launches/In0-openmeter-io-real-time-and-scalable-oss-metering",
        "votes": 77,
        "created_at": "2023-06-13T14:39:57.994Z"
      },
      {
        "id": 69167,
        "title": "Tailfin - Maximize revenue with usage-based pricing",
        "tagline": "Tailfin unlocks revenue by identifying and pricing sales opportunities.",
        "body": "B2B SaaS companies see up to 25% revenue increase by adopting usage-based or hybrid pricing models, but realizing this potential requires the right tools and insights. This is where [Tailfin](https://tailfin.cloud?utm_source=bookface&utm_medium=post&utm_campaign=launch1) has you covered.\n\nThis is Andras and Peter - coming from Stripe, Netflix, Banzai Cloud, and Cisco; we understand that unlocking the full revenue potential requires to:\n\n* Identify revenue opportunities and forecast over-usage to start the sales cycle early\n* Find customers ready to be converted to enterprise plans\n* Forecast usage and revenue to price deals accordingly\n\n![uploaded image](/media/?type=post&id=69167&key=user_uploads/112934/0aa156bf-ec1b-48b3-a713-639a51217424)\n\n## 💸 The Challenge\n\nWith the rise of Product-Led-Growth (PLG), pay-as-you-go is becoming the dominant pricing model, but unfortunately, many SaaS companies miss out on revenue opportunities. For example, enterprise customers often underestimate their usage and pre-purchase too little credit, leaving you with the dilemma of offering your service for free or renegotiating the deal. Moreover, self-serve customers may outgrow their plans without you knowing, and customer success and support may not prioritize users according to their spending and future potential.\n\n## 🐬 Our Solution\n\nTailfin is a monetization platform explicitly designed for usage-based pricing. We help businesses to maximize revenue by providing insights about customers and highlighting opportunities so your sales and customer success teams can be data-driven.\n\n![uploaded image](/media/?type=post&id=69167&key=user_uploads/112934/92610c86-d525-4e40-9e52-cf924668dcac)\n\nTailfin provides:\n\n* Subscription predictions like detecting overage before it happens so you can outreach and start the sales process in time.\n* Price simulations to calculate historical and future revenue based on usage and different pricing models.\n* Accurate metering with high-frequency event aggregation; can include events such as API calls, disk storage usage, or other product-related actions that could result in charges.\n* Real-time dashboard and APIs to extract usage and revenue data\n\n## [🐋](https://emojipedia.org/whale/) Sign up\n\nDon’t leave revenue on the table. Ask for a demo today:\n\n<https://calendly.com/tailfin-cloud/founders>  or email me at [peter@tailfin.cloud](mailto:peter@tailfin.cloud)\n\n[https://tailfin.cloud](https://tailfin.cloud/?utm_source=bookface&utm_medium=post&utm_campaign=launch1) \n\nBest,\n\nTailfin Founders, Andras & Peter",
        "url": "https://www.ycombinator.com/launches/Hzb-tailfin-maximize-revenue-with-usage-based-pricing",
        "votes": 99,
        "created_at": "2023-02-09T18:55:55.742Z"
      }
    ]
  },
  {
    "id": 27880,
    "name": "Plutis",
    "slug": "plutis",
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        "full_name": "Kamil Ali",
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        "founder_bio": "Excited about all things healthcare and AI. Outside of startups, I am passionate about skiing and music.",
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        "full_name": "Asim Hirji",
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      {
        "id": 74488,
        "title": "Plutis: On-demand, modern-day mental healthcare",
        "tagline": "A mental health platform that tailors itself to your unique mental health journey.",
        "body": "**TLDR:** We are building a mental health platform that adapts to your unique journey. Engage with specialized providers, access AI-based coaching tailored to your needs, and discover services to boost your mental well-being. **Download our** [**iOS app**](https://apps.apple.com/us/app/plutis/id6450721690) on the App Store and give it a try!\n\n### **Problem**\n\nAccording to the CDC, [more than 1 in 5 US adults live with a mental illness](https://www.cdc.gov/mentalhealth/learn/index.htm) (over 50 million Americans), more than half of whom do not receive treatment. Furthermore, [there are an estimated 350 individuals for every one mental health provider](https://mhanational.org/issues/state-mental-health-america) in the U.S.\n\n**Currently, patients struggle with:**\n\n1. Lack of personalization and options.\n2. Constant discovery/search process to find the right services for them.\n3. High costs/lack of insurance coverage for services.\n4. Lack of cost-effective and continuous support in between sessions.\n\n**Therapists and mental health service providers are looking for ways to:**\n\n1. Gain access to a larger clientele (for therapy and coaching).\n2. Drive up patient engagement and see more patients that are suited for their unique practice/specialty.\n3. See clients / operate in more states than those they are currently licensed in.\n4. Get credentialed with major payors to see a wider array of clients.\n5. Off-load complex billing and reimbursement systems that enable them to see more patients without the overhead/headache.\n6. Leverage online platforms while still maintaining the ability to set their own prices and schedules.\n\n### **Introducing Plutis**\n\nWe are creating a more modern mental health care platform. Our platform allows patients to receive personalized care and gain access to a variety of services to improve their mental health, ranging from live sessions with service providers to AI-based coaching and feedback. We also help therapists, coaches, and other mental health service providers expand their practice and see more engaged clients and patients, on their own terms.\n\nOur initial platform features are as follows:\n\n**For Patients**\n\n1. AI-based journaling with tailored feedback, advice, and guidance based on your unique goals.\n2. Monthly goal-setting and constant check-ins/recommendations to keep you on track.\n3. On-demand AI coaching for issues you may face.\n4. Easy access to service providers (therapists, coaches, etc.) via scheduling or on-demand availability.\n5. Access to wellness circles (peer support as well as facilitated support groups for almost any situation).\n6. Access to curated content from communities centered around challenges you may be facing or certain life events.\n\n**For Therapists**\n\n1. Expanding your reach with patients and clients to help you grow your practice.\n2. Services to reduce workload while also creating a more engaged client base.\n3. Credentialing with major payors and multi-state licensing.\n4. Ability to set your own prices and schedule.\n5. Streamlined billing and claims management to ensure payouts without the overhead/complexity.\n\n![uploaded image](/media/?type=post&id=74488&key=user_uploads/171080/8e2a889d-cc21-4ad4-9962-cd5a15e584cd)\n\n### **Team**\n\nHi 👋 We are Asim and Kamil, co-founders of Plutis.\n\nPrior to Plutis, we founded AccessBell, a white-labeled video conferencing platform for telemedicine which was acquired by our largest customer, the Tata Group.\n\nWe were drawn to behavioral health, given our own experience (and struggle) as well as that of our close friends and communities with trying to find coaches and therapists in the past. We were further motivated after countless conversations with therapists, who communicated various challenges they faced running their practice(s) online.\n\n### **Our Ask(s)**\n\n1. **Download our** [**iOS app**](https://apps.apple.com/us/app/plutis/id6450721690) on the App Store and give it a try! **Share feedback** with us at [founders@plutis.io](mailto:founders@plutis.io). We will launch the Android version of the app on the Google Play Store in the near future.\n2. Connections to **therapists**, **life coaches**, or any other **mental health service providers** (e.g. organizations that offer mental health services like meditation retreats, etc.).\n3. **Spread the word** and share with anyone struggling with their mental health or looking for more personalized mental healthcare delivery.\n4. Connections to any **payors/insurance companies** that have innovative models for behavioral health.",
        "url": "https://www.ycombinator.com/launches/JNQ-plutis-on-demand-modern-day-mental-healthcare",
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        "created_at": "2023-08-29T21:23:39.267Z"
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    "one_liner": "Build AI Agent teammates and automations in code or no-code",
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        "full_name": "Nick Gomez",
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        "full_name": "Robert Tran",
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        "founder_bio": "Robert Tran is a cofounder of inkeep. He studied CS & Math at MIT and has an extensive background in tech, including working with government, political organizations, financial firms, and logistics companies. Previously, Robert was an early employee then Head of Engineering at illumis — building software to aggregate thousands of public data sources that are locked in silos. illumis was acquired by ComplySci. Outside of inkeep, Robert is passionate about film & writing.",
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        "url": "https://www.forbes.com/sites/zoyahasan/2025/09/05/this-startup-just-raised-13-million-to-make-ai-agents-easy-for-any-team/",
        "date": "Sep 05, 2025"
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      {
        "id": 85650,
        "title": "Inkeep - AI support you can trust",
        "tagline": "All the AI tools you need to scale support - without losing the human touch",
        "body": "Hi everyone, we’re Nick and Robert - co-founders of [Inkeep](https://inkeep.com/).\n\n### TL;DR\n\nAs founders, we know that fast, quality support helps great products stand out.\n\nInkeep accelerates every step of support with:\n\n🔍 An AI assistant for end-users\n\n🎧 A copilot for support teams\n\n📚 Tools to fix content gaps\n\nInkeep works with any docs or support platform; see our [showcase](https://inkeep.com/showcase?example=anthropic&tab=aiForCustomers) for examples.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/2fab07e8-72a9-4e56-9fb9-e14f38f411c6)\n\n### Problem: today’s tools focus too much on automation\n\nUsers of modern products expect two things:\n\n(1) great self-serve experiences\n\n(2) fast human help when they need it\n\nAI support solutions often forget about this and end up feeling like a barrier to getting “real” help. \n\n### Solution - AI that builds trust\n\nOur approach is simple: build practical tools for every step of the support process with the end-user as the #1 priority.\n\n**Assistant for users**\n\nInkeep taps into your docs, help center, and other content to provide direct answers to user questions. Our assistant cites its sources, **admits when it doesn’t know**, and hands off to your support channels.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/66cc6667-df67-4209-baa3-6ea0e6b38fd3)\n\n**Copilot for support teams**\n\nWhen your support team needs to step in, our CX copilot:\n\n✍️ Drafts detailed answers\n\n🔗 Links to relevant docs and past tickets\n\n⚡ Summarizes long tickets \n\n🔔 Suggests to-dos and next steps\n\n[Demo:](https://youtu.be/4_yEpMkdua4)\n\n**Tools to fix content gaps**\n\nThe #1 way to improve support over time is to improve your content (or product).\\\nInkeep helps close that loop with:\n\n1. [AI reports](https://docs.inkeep.com/analytics/reports) that pinpoint and prioritize gaps in your content.\n2. A [Ticket to FAQ](https://go.inkeep.com/ticket-into-faq) tool to create new content from closed tickets.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/2a81cc6c-821f-4853-8630-a831a5144135)\n\n### **🙏 Our Ask**\n\n* Want to try an AI assistant powered by your content? Get a [self-serve demo](https://inkeep.com/demo?cta_id=yc_launch).\n* Thinking about adding AI to your entire support workflow? [Schedule a call](https://inkeep.com/demo?cta_id=pricing_enterprise_demo_cta).\n\nSocials: [LinkedIn](https://www.linkedin.com/company/inkeep), [𝕏.](https://x.com/inkeep_ai)",
        "url": "https://www.ycombinator.com/launches/MHS-inkeep-ai-support-you-can-trust",
        "votes": 22,
        "created_at": "2024-11-18T15:46:06.140Z"
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      {
        "id": 69837,
        "title": "Inkeep - Conversational search for your developer product 💬🔍",
        "tagline": "Help developers do more with your product, faster.",
        "body": "> tl;dr: [Inkeep](https://www.inkeep.com/?utm_campaign=yc) provides conversational search for developer-focused companies. We use LLMs to understand a company’s docs, GitHub issues, Stack Overflow questions, and more to answer developer questions and increase customer activation.\n\n### **Our Team:**\n\nHi YC, we’re [Robert Tran](https://www.linkedin.com/in/robert-tran-profile/) and [Nick Gomez](https://www.linkedin.com/in/edwinngomez/) from Inkeep!\n\n![uploaded image](/media/?type=post&id=69837&key=user_uploads/1161457/4cbbe838-fb40-4508-89aa-8713f83d7755)\n\nWe met eight years ago at MIT as undergrads. After MIT, Nick was a Senior Product Manager working on developer experiences for Microsoft’s identity products. Robert was Head of Engineering at illlumis (acquired), building large-scale data aggregation pipelines for public datasets.\n\nWith years of experience building developer-focused products, we are excited to build Inkeep.\n\n### **Problem:** Any blocker or unanswered question is a drop-off point\n\nDevelopers evaluate a product by how easy it is to get started and use it for their use case. Optimizing this experience is the #1 goal for many developer-focused companies, but it’s hard to do well because:\n\n* Knowledge about the product is scattered across docs, GitHub issues, Stack Overflow, forums, private communities, and more.\n* Answering technical issues and questions at scale is hard.\n* Developers often prefer to self-troubleshoot.\n\n### **Solution:** Conversational search powered by all your existing content\n\n[Inkeep](https://www.inkeep.com/?utm_campaign=yc) automatically indexes all of a developer tool company’s content with zero effort required. We use fine-tuned LLMs that fully understand your product to power search and chat experiences tailored for developers.\n\nInkeep is embeddable as a:\n\n* Search bar for your docs\n* Chat widget for your app or landing page\n* Slack or Discord bot for your community\n\nYour developers can search or ask anything and get answers immediately. And you’ll be able to get insights on what they're getting stuck on.\n\n![uploaded image](/media/?type=post&id=69837&key=user_uploads/1161457/41100239-1ce3-4e5a-8349-4294e24a237d)\n\n\n### **Our asks:**\n\n* Interested in adding Inkeep to your developer product? We’d love to [show you a demo](https://calendly.com/nickgomez/inkeep-demo-20mins).\n* Connect us with folks who are obsessed with developer experience & activation.\n\nGet in touch at: [founders@inkeep.com](mailto:founders@inkeep.com) \\\nLearn more at: [Inkeep.com](https://www.inkeep.com/?utm_campaign=yc)",
        "url": "https://www.ycombinator.com/launches/IAP-inkeep-conversational-search-for-your-developer-product",
        "votes": 167,
        "created_at": "2023-03-01T20:02:13.615Z"
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    "name": "Wild Moose",
    "slug": "wild-moose",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Wild Moose automatically kicks off any root-cause investigation to improve MTTR.\r\nOur AI triages issues, analyzes impact, and suggests next steps - all before human intervention is needed.",
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    "team_size": 3,
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        "full_name": "Yasmin Dunsky",
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        "founder_bio": "Yasmin holds an MBA from Stanford, and has a successful track record in founding and leading ventures, including an ecosystem that trains thousands of female software developers across Israel. She served as an analyst for the Israeli Special Forces Intelligence and holds a BSc in Computer Science from The Hebrew University. ",
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        "full_name": "Tom Tytunovich",
        "title": "Founder",
        "founder_bio": "Building software stuff since 2002. In the IDF's Intelligence Corps, in tiny startups and large corporations as software developer, architect, and engineering manager, as CTO of a nonprofit building technology with people who are homeless in NY, and now as co-founder of Wild Moose.",
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        "title": "Site reliability engineering startup Wild Moose launches with $7M in funding - SiliconANGLE",
        "url": "https://siliconangle.com/2025/10/28/site-reliability-engineering-startup-wild-moose-launches-7m-funding/",
        "date": "Oct 28, 2025"
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        "id": 80510,
        "title": "Wild Moose Alert Enrichment: Solve production issues before they get to engineers",
        "tagline": "Reduce MTTR with an AI agent that engages with logs, metrics, and code to kick off any investigation",
        "body": "### **Problem:** Production chaos is real, and interferes with fast delivery\n\nThese days, there's immense pressure for organizations to constantly innovate. To achieve this, you need to aggressively minimize distractions. It's crucial to eliminate the constant stream of alerts, often leading to full nights of stressful debugging.\n\n### **Solution:** AI agents can knock down issues before they get to engineers\n\n**Our AI agent kicks off every investigation by querying logs, metrics, DBs, and code to surface information and resolve issues.** The initial steps in investigations are predictable and automatable, but they take time for a human to perform. We save that time. **In many companies this simple step already cuts MTTR by 50%.** \n\n[▶️▶️ Chat with us to join the beta.](https://calendly.com/wildmoose-yasmin/30-min)\n\n**How it works:**\n\n1. **Collects data from monitoring data sources**\\\n   When a new production issue is found, the moose kicks off by collecting data from your monitoring data tools, such as Datadog, Snowflake, New Relic, Cloudflare, etc.\n2. **Generates an enrichment report**\\\n   The moose runs an investigation in real-time, analyzing the data collected to present its findings.\n\n   ![uploaded image](/media/?type=post&id=80510&key=user_uploads/281723/a7ca493a-891b-4da7-8326-920b6f4a4025)\n\n3. **Concludes and recommends next steps**\\\n   The moose presents a summary of its findings along with recommended next steps, focusing on impact and mitigation.\n\n   ![uploaded image](/media/?type=post&id=80510&key=user_uploads/281723/30f636da-7ddf-45e0-bae4-493b21055e76)\n\n4. **Improves over time**\\\n   You can indicate what information was useful or ask the moose to fetch more. Based on this feedback and an underlying model of your system, our model learns over time the actions it should take in different scenarios.\n\n   ![uploaded image](/media/?type=post&id=80510&key=user_uploads/281723/65c3bd53-edd3-492d-bff1-7a27a0ea0fa3)\n\n\n### **Try it out and tell us what you think!**\n\n[▶️▶️ Let’s chat and get you on our beta.](https://calendly.com/wildmoose-yasmin/30-min)\n\n**We’re looking to work with companies that are making an effort to improve their reliability**, preferably companies that already measure MTTR or are interested in starting to do so. \n\n* **_You don’t have to prepare your data or monitoring tools_**. We know things are often messy - our model works just as well with data that is unstructured\n* **_You do need to have your logs and/or metrics stored in a SaaS platform_** (Datadog, New Relic, Coralogix, etc.).",
        "url": "https://www.ycombinator.com/launches/KwY-wild-moose-alert-enrichment-solve-production-issues-before-they-get-to-engineers",
        "votes": 36,
        "created_at": "2024-04-30T15:03:33.825Z"
      },
      {
        "id": 69325,
        "title": "🔥 Wild Moose: Solve production incidents faster with Gen AI",
        "tagline": "Helping on-call developers quickly identify the source of production incidents with conversational AI trained on their environment.",
        "body": "**TL;DR When you’re on-call and everything’s on fire, instead of frantically sifting through logs and going through other people’s code, our moose just gives you the answers.** [**Chat with us**](https://calendly.com/wildmoose-yasmin/15min) **to try it out.**\n\n**—-**\n\n👋 We’re Tom, Yasmin, and Roei, founders of [Wild Moose](https://wildmoose.ai?utm_source=YC+newsletter&utm_medium=blog+post&utm_campaign=Launch+YC). \n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/afaf46a4-84f9-46c1-b638-ee353587eaa5)\n\n[Yasmin](https://www.linkedin.com/in/yasmin-dunsky-519a4ab2/) has an MBA from Stanford and is a third-time founder & CEO. [Roei](https://www.linkedin.com/in/roei-schuster-0ba818aa/) got a PhD at Cornell University focusing on Large Language Models (LLMs), and [Tom](https://www.linkedin.com/in/tom-tytunovich-70a13886/) has had the dubious pleasure of fixing hundreds of incidents in production over his 15 years of engineering.\n\n### **The problem**\n\nWith developers spending over 30% of their time on production issues, and  incidents leading to millions in lost revenue, there’s no need to say much about the headache that is production debugging. Instead, we asked Midjourney what a developer dealing with a prod incident looks like:\n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/a629390c-47b7-403e-bae9-d523c690b62d)\n\n### **Enters the moose**\n\nDebugging in production with our moose allows you to solve issues in minutes instead of hours, reducing MTTR 100x. It helps you avoid costly downtime, save time, and keep your SLAs in check. You’re able to:\n\n* 🕵️ Navigate through heaps of logs, metrics, and other people’s code\n* 🧠 Build queries like a pro for any observability tool (Elastic, Datadog, SQL DBs, etc.)\n* 🔀 Get next-step recommendations so you stay on track when the pressure is on and you’re flooded with data\n\n### **How it works**\n\n**💪 We help you hit the ground running –** unlike humans, our AI is happy to wake up at 2 AM and get cracking, instantly up to speed and ready with useful data on the state of the system\n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/7468e24d-8b94-403d-a59e-98e0994ef3f6)\n\n**💪 You don't need to debug alone –** using Wild Moose is like having a fellow engineer take the grunt work off your hands. One who knows every part of the codebase, and who can process hours' worth of data in seconds\n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/92cb41af-6553-48f8-9277-dff3f74b0eaa)\n\n**💪 Learn more from the incident –** some companies learn from their incidents, others are just gifted with many repeat opportunities… To help you belong to the former, we automate your postmortem generation\n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/310efdc8-5c47-40a5-afcd-3203066cbc66)\n\n### **Our technology**\n\nBehind a conversational AI experience, lie our special-purpose large language models (LLMs). Having cracked the way LLMs can be fed code and logs in real-time, we design models that efficiently ingest the massive contextual data about a given incident. Crucially, we also validate the produced answers against the original sources of truth, giving you trustworthy information when you need it the most.\n\n### **We can help you fix production issues**\n\nIf your company has 25+ developers, you measure the cost of downtime, and your observability stack includes Datadog, Sentry, and/or Elastic, we would love to help you manage production issues! Just hop on a call with us [here](https://calendly.com/wildmoose-yasmin/15min) or reach out at [yasmin@wildmoose.ai](mailto:yasmin@wildmoose.ai).",
        "url": "https://www.ycombinator.com/launches/I29-wild-moose-solve-production-incidents-faster-with-gen-ai",
        "votes": 59,
        "created_at": "2023-02-15T20:55:49.267Z"
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    "long_description": "Dealerships leave significant revenue every year because they are unable to effectively answer calls or run campaigns due to staffing issues. \r\n\r\nShortLoop fixes this with human-like AI phone agents that answer calls instantly, book appointments and test drives, and also help run outbound campaigns. It ensures that our customers never miss a revenue opportunity, inbound or outbound. \r\n\r\nOur AI is integrated with CDK, Reynolds, Tekion, Xtime, Auto/Mate, DealerFX, VinSolutions, myKaarma and other popular dealership tools. It handles thousands of calls each week for U.S. dealerships across service, sales, and outbound campaigns.\r\n\r\nOur mission is to help dealerships transition their phone operations to the AI world and capture the revenue they leave on the table today.",
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        "full_name": "Adam Shiervani",
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        "founder_bio": "Adam Shiervani is a co-founder of BuildJet, with over a decade of experience working in startups, Adam began as a frontend developer and progressed over the years to become the Chief Product Officer at Germany's largest market research company, Civey. At Civey, Adam, together with Lian, who served as CTO, scaled the company and discovered the significant impact that consumer CPUs have on CI speed.",
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        "body": "### **⚡️ TL;DR**\n\nHey, this is Adam & Lian from [@BuildJet](https://www.ycombinator.com/companies/buildjet)\n\nBuildJet makes GitHub Actions faster, by running the workflows on our Gaming CPU cloud. You still keep everything GitHub Actions, we just replace the underlying GitHub Actions runner with our Gaming CPUs.\n\n\\\n**Change 1 line, and get 2x faster and cheaper builds.**\n\n![uploaded image](/media/?type=post&id=69746&key=user_uploads/730963/214d6b00-fec2-4f4a-8a6b-132c63f8c6cb)\n\n### **GitHub Actions is slow**\n\n* **Developers are wasting their time –** Waiting for GitHub Actions to get a green checkbox on a PR, is wasteful and extremely tedious.\n* **GitHub Actions runner hardware is old and slow –** GitHub Actions use old and slow machines from Azure. Some of your workflows run on servers from 2015.\n* **GitHub Actions use the wrong type of hardware** – CI workflows are usually computing intense, and specifically require high single-core performance. GitHub Actions uses server CPUs, which generally have low single-core performance.\n\n### **Our Solution**\n\nGitHub Actions rely on server CPUs from Azure. **Server CPUs mostly have low single-core performance.** This is where BuildJet differentiates itself, with its fundamentally different approach to computing, using dedicated **high-performance gaming CPUs** that all have a very high-single core performance.\n\nThis provides an inherent speed advantage for BuildJet, even without software optimizations. High single-core performance is the key to a fast CI process, and BuildJet's gaming CPU cloud is optimized to deliver just that.\n\nTake a look at our at the chart below, **MacBook Pro 2015 hardware beating GitHub Actions runner in 2022.** It’s yet another instance where you can see the limitation of using server CPUs in tasks that need high single-core performance.\n\n![uploaded image](/media/?type=post&id=69746&key=user_uploads/730963/40b07ca7-7828-4ae1-9c6b-20b8d1ea0026)\n\n### **Founding Team**\n\nLian and I, first met at a data privacy startup in Berlin in 2014, where we developed a strong working relationship and launched many products together. After leaving that company, we joined a German startup that runs the biggest market research panel in Germany, Civey, with Adam as CPO and Lian as CTO. When scaling the company, we quickly learned **the great impact gaming CPU's have on CI speed.**\n\n### **Next Steps**\n\nHead over to <https://buildjet.com/for-github-actions>, sign up in 1 minute and start accelerating your GitHub Actions workflows.\n\nIf you have any questions about your CI pipeline, don’t hesitate to reach out to [adam@buildjet.com](mailto:adam@buildjet.com), and I’ll make sure to help you out!",
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      {
        "title": "Generative AI: Applications in for Everyday Consumers",
        "url": "https://a16z.com/2023/02/07/everyday-ai-consumer/",
        "date": "Feb 07, 2023"
      },
      {
        "title": "San Francisco’s ‘Cerebral Valley’ Booms in ChatGPT and Generative AI",
        "url": "https://www.businessinsider.com/chatgpt-generative-ai-san-francisco-hayes-silicon-cerebral-valley-2023-1",
        "date": "Feb 01, 2023"
      },
      {
        "title": "FC's Generative AI Challenge - Foundation Capital",
        "url": "https://foundationcapital.com/fc-generative-ai-challenge/",
        "date": "Jan 19, 2023"
      },
      {
        "title": "Booth AI Debuts Its Generative AI-based Photography Platform in the STARTUP ZONE at NRF 2023 ",
        "url": "https://www.prweb.com/releases/2023/1/prweb19110782.htm",
        "date": "Jan 17, 2023"
      }
    ],
    "launches": [
      {
        "id": 81851,
        "title": "Booth AI: Build no-code Gen AI apps",
        "tagline": "Go from prompt to full app in minutes.",
        "body": "🔥 [Booth.ai](http://Booth.ai) is your no-code Generative AI app builder, enabling you to create powerful AI solutions in minutes, not months. Check out our [demo video](https://framerusercontent.com/assets/OuoBfiorNSCbVJarMwG4I1GATaU.mp4), where we go from prompt to Gen AI application in minutes.\n\n![uploaded image](/media/?type=post&id=81851&key=user_uploads/96513/1f931ce6-71d9-410b-901d-1ab36b6255e7)\n\nWhether you need an internal tool for categorizing customer inquiries, need to do fuzzy PDF analysis at scale, or want to automate and schedule a Custom GPT - [Booth.ai](http://Booth.ai) has you covered.\n\nChoose from our library of 165 different nodes that can be connected in infinite ways. You can build it yourself with our no-code interface or use our AI Auto-Build feature to go from prompt to application in a single shot! We auto-create a dynamic interface UI so you can share your creation as a single-page app with a link.\n\n![uploaded image](/media/?type=post&id=81851&key=user_uploads/96513/bada6f09-f346-43ea-8d32-a0d0412a791c)\n\n![uploaded image](/media/?type=post&id=81851&key=user_uploads/96513/dd5bfa1a-8677-4c8a-88a3-a89630336d6b)\n\n**✋ Our asks**\n\nIf you're looking to build an AI internal tool or simplify your AI experimentation process - reach out, give [Booth.ai](http://Booth.ai) a try, and book a demo with us. We’re loading up all new accounts this week with 500 free credits. If you know a founder or operator who would benefit from [Booth.ai](http://Booth.ai), please contact us at [founders@booth.ai](mailto:founders@booth.ai).\n\nThanks!",
        "url": "https://www.ycombinator.com/launches/LIB-booth-ai-build-no-code-gen-ai-apps",
        "votes": 11,
        "created_at": "2024-07-01T17:51:21.810Z"
      },
      {
        "id": 69552,
        "title": "Booth.ai - Easy product photography with Generative AI",
        "tagline": "Create unique, engaging product images - all without a photographer",
        "body": "**Hi YC 👋**\n\nHigh quality product photography is a must for E-Commerce stores, but it gets costly fast - with an average of $300/SKU for new photography. That’s why [Ian](https://www.linkedin.com/in/ianabaldwin/) and [I](https://www.linkedin.com/in/nick-locascio/) started [Booth.ai](http://Booth.ai) to make quality product photography scalable and accessible to sellers of all sizes.\n\n![uploaded image](/media/?type=post&id=69552&key=user_uploads/96513/be88ecd8-fcd0-4309-a67d-519c46eced99)\n\n### **🔥 TL;DR**\n\n[Booth.ai](http://Booth.ai) is your personal product photographer, powered by Generative AI. Just describe your photoshoot in text, and we’ll place your product naturally in the generated scene.\n\n![uploaded image](/media/?type=post&id=69552&key=user_uploads/96513/e48ceaf4-8262-4c1f-a250-8853b7f9ef1c)\n\n### **🧠 How does it work?**\n\n[Booth.ai](http://Booth.ai) makes incredible Gen AI technology accessible and easy to use. Customers connect their Shopify stores to auto-import all of their products. Then they describe, in text, how they want their product to appear. [Booth.ai](http://Booth.ai) handles the rest by generating a scene around the product and producing a 4k image. We even support bulk image generation for stores with thousands of SKUs.\n\n![uploaded image](/media/?type=post&id=69552&key=user_uploads/96513/2edcd9c9-723f-4ce4-8dc5-95cd38973df6)\n\n### **🛍️ Who is** [**Booth.ai**](http://Booth.ai) **for?**\n\nOur ideal customer profile is an e-commerce business that sells a physical product, and currently spends > $10k yearly on visual imagery. This includes e-commerce aggregators, independent stores on Shopify, WooCommerce, Magenta, FBA, and larger brands with SKU counts that eclipse their photography budgets.\n\n### [✋](https://emojipedia.org/raised-hand/) **Our asks**\n\n1. If you run an E-Commerce business - reach out, give us a try, and book a demo [here](https://share.hsforms.com/1dSi0_0YSTLC4ic4tpeY42Ae1qx8?__hstc=121515287.d8ace17c3feac80f7acec81ca9243dd8.1673563844280.1676356189520.1676398984590.70&__hssc=121515287.1.1676398984590&__hsfp=1945899485)! Use our YC-network discount code YC30 for 30% off our plans.\n2. If you know a founder/operator in this space who would be interested in using Booth AI, please connect us to them - [founders@booth.ai](mailto:founders@booth.ai)\n\n### ",
        "url": "https://www.ycombinator.com/launches/I5o-booth-ai-easy-product-photography-with-generative-ai",
        "votes": 36,
        "created_at": "2023-02-22T17:49:37.585Z"
      }
    ]
  },
  {
    "id": 27896,
    "name": "Truewind",
    "slug": "truewind",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2282cdd4a81eac40181a6efc3ce3c3d32c9eb037.png",
    "website": "https://www.trytruewind.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Truewind is a technology company based in San Francisco developing a digital staff accountant. Powered by AI, Truewind is a digital staff accountant that never sleeps, never gets sick, and always does its work. Completely predictable capacity planning. \r\n\r\nAutomate data categorization, supporting documentation collection, and client follow-up. Truewind’s AI agents will follow up on outstanding action items while the accountant can work on strategic tasks. This is fully integrated and unified across your accounting operations. We make it easy to get work done and get visibility into your team’s processes. \r\n\r\nTrusted by over 100 customers, including accounting firms EisnerAmper and Frank Rimerman, along with fast-growing companies such as Wefunder, StartPlaying and Mozart Data. We’re backed by the industry leaders of accounting and AI, Rho Capital, Thomson Reuters Ventures, Pathlight Ventures, Fin Capital, and Y Combinator. ",
    "one_liner": "AI-Powered Accounting",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1675872502,
    "tags": [
      "Fintech",
      "Generative AI",
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/truewind",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/truewind.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/truewindai/",
    "x_url": "https://twitter.com/truewindai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2282cdd4a81eac40181a6efc3ce3c3d32c9eb037.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 391490,
        "full_name": "Alex Lee",
        "title": "Founder",
        "founder_bio": "co-founder ceo of truewind",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexlee611/",
        "x_url": "https://twitter.com/AlexLee611",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1193af105020fad6319451856ee42700f03d7e8b.jpg"
      },
      {
        "user_id": 154588,
        "full_name": "Tennison Chan",
        "title": "Founder/CTO",
        "founder_bio": "co-founder cto of truewind\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tennisonchan",
        "x_url": "https://twitter.com/tennisonchan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7c278594ea343f132c43b9294d7775141718fd1.jpg"
      }
    ],
    "jobs": [
      {
        "id": 82425,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/truewind/jobs/JCUv5Qg-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $220K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 91612,
        "title": "Accounting Agents Solutions",
        "url": "https://www.ycombinator.com/companies/truewind/jobs/94tBEoc-accounting-agents-solutions",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93639,
        "title": "Growth Generalist",
        "url": "https://www.ycombinator.com/companies/truewind/jobs/DdVPvVF-growth-generalist",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94496,
        "title": "Product Infrastructure Engineer, Data & Agent Systems",
        "url": "https://www.ycombinator.com/companies/truewind/jobs/lwqSR2W-product-infrastructure-engineer-data-agent-systems",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $200K",
        "equity_range": "0.10% - 0.25%",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95571,
        "title": "Staff Software Engineer",
        "url": "https://www.ycombinator.com/companies/truewind/jobs/0naXaQ1-staff-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "11+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 96046,
        "title": "Senior Software Engineer - Backend & Agent Platform",
        "url": "https://www.ycombinator.com/companies/truewind/jobs/ZXenznk-senior-software-engineer-backend-agent-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$220K - $260K",
        "equity_range": "0.10% - 0.25%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js",
          "AI Agents"
        ]
      },
      {
        "id": 111493,
        "title": "Sales Development Representative ",
        "url": "https://www.ycombinator.com/companies/truewind/jobs/kHLkLbS-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Accounting AI TrueWind raises $13M Series A",
        "url": "https://www.axios.com/pro/fintech-deals/2024/12/11/accounting-ai-truewind-13-million",
        "date": "Dec 11, 2024"
      },
      {
        "title": "Thomson Reuters puts $1M into accounting AI company Truewind",
        "url": "https://www.axios.com/pro/fintech-deals/2024/01/19/thomson-reuters-accounting-ai-truewind",
        "date": "Jan 19, 2024"
      },
      {
        "title": "AI accounting startup Truewind books $3m in seed funding",
        "url": "https://www.axios.com/pro/fintech-deals/2023/09/18/ai-accounting-startup-truewind-3-million-seed",
        "date": "Sep 18, 2023"
      },
      {
        "title": "AI Startup Founders Share the Top 3 Lessons Learned From Y Combinator",
        "url": "https://www.businessinsider.com/ycombinator-ai-startup-founders-share-best-lessons-accelerator-2023-4",
        "date": "May 01, 2023"
      },
      {
        "title": "Lang Fund Winners – Alumni (Spring 2023) | Columbia Business School",
        "url": "https://business.columbia.edu/lang/student-and-alumni-programming/launch/lang-fund/%20Alumni-Spring-2023",
        "date": "Apr 07, 2023"
      }
    ],
    "launches": [
      {
        "id": 80520,
        "title": "⛵️ Truewind: AI-powered Accounting",
        "tagline": "Bringing generative AI to power accounting workflow automation",
        "body": "**Truewind is designed for accountants**\n\nTruewind is helping accounting firms increase the profits of their CAS practice. The solution that has helped over a hundred companies with their month-end close is now available for accounting firms and internal accounting teams.\n\n## **Introducing the next-generation AI-powered accounting solution**\n\nHow does an “AI-powered” accounting solution improve your current operations?\n\n**With the power of LLMs, you are able to:**\n\n* Auto-classify bank and credit card transactions with >90% accuracy\n* Identify accrual entries and auto-create a work paper in 1-click\n* Collect supporting documentation automatically with 0 intervention\n* Match supporting documentation to your accounting journal entries\n\nThink of Truewind as a **_digital accountant._** A digital accountant that does the repetitive work of categorizing transactions, finding supporting documentation, and closing the month-end books. A digital accountant that works while you sleep.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80520&key=user_uploads/391490/6cbbea13-2d87-450a-a42a-1fdb6484d02e)\n\n## **Most alternatives are service providers that are prone to manual errors and overhead costs**\n\nThere are many vendors that help startups with bookkeeping and accounting. These service companies are easy to start because, in the background, they have an army of operational staff who **manually** enter your data into an accounting system.\n\nIf the transaction is missing an invoice or receipt, they will **manually** follow up with you for that document. Accrual journal entries are **manually** tracked in an Excel sheet and **manually** updated monthly. Lastly, reports are **manually downloaded** and shipped to you for review.\n\nWhy is this problematic? The **manual**\\-intensive process is an error-prone one. The Excel file below is an example of how they manage this; now multiply this by 100 rows and 20 tabs. Maybe they get it right as high as 99% of the time. But inevitably, with humans **manually** going back and forth between Excel tabs and traditional legacy systems, it’s never going to be 100%.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80520&key=user_uploads/391490/8992ac60-7524-4111-83de-b92a2ca382f1)\n\n## **Month-End Close Powered by AI**\n\nTruewind helps accountants close their books faster without the administrative overhead costs that come with most month-end close management solutions.\n\nTraditional month-end close solutions’ is a checklist. Accountants dislike these solutions because they add administrative workload. Accountants track their month-end checklist in Excel or Google Sheets because it works, but because their company decided to purchase a month-end close software, they have to **manually** move their checklist into the software each month.\n\nTruewind is different in that we _actually do the work for you_. Truewind is a **_digital accountant_** that does the journal entry work while you rest. Each day, you get into the office with your morning queue of work prepared for you to review.\n\n![uploaded image](/media/?type=post&id=80520&key=user_uploads/391490/5b2c1d58-32c4-4d82-807c-468aa2ec6981)\n\n**Here are just a few examples:**\n\n* The AI model is trained on your client’s historical data so that bank and credit card transactions can be **auto-classified** to the correct account, payee, and department\n* By studying historical patterns, Truewind identifies prepaid expenses and **auto-capitalizes** the transaction as an asset. Each month, we **auto-update** the work paper and write the journal entry\n* By studying historical patterns, Truewind identifies and recognizes an accrued expense even though an invoice or payment is missing; when it arrives next month, we **auto-adjust** the journal entries\n* Rather than manually searching for supporting documentation, our integrated AI agents **auto-identify** the supporting documentation that is tied to each journal entry and transaction\n\n## **Visit us at AICPA Engage 24 - Silver Sponsors**\n\nIn addition to this product launch, I’m excited to announce that Truewind is a Silver Sponsor of the AICPA CIMA Engage 24 Conference 💎\n\nAICPA & CIMA Engage is the largest gathering of accountants and finance professionals in North America, with close to 4,000 attendees. And we are thrilled to be a Silver Sponsor for this event. In the coming weeks, we will post about how Truewind helps accounting firms and internal accounting teams close the books closer and get their life back.\n\nWe have many fun activities and talks planned. Follow us on [**LinkedIn**](https://www.linkedin.com/company/truewindai/) & [**Twitter**](https://twitter.com/truewindai/) to stay tuned for more.\n\n![uploaded image](/media/?type=post&id=80520&key=user_uploads/391490/1da64d47-c89b-4171-b484-2b7ea7df06ee)\n\n## **How to learn more and sign up**\n\nAll of these capabilities are available today for our early accounting firm partners and will be available broadly on June 1, 2024. Our accounting firm partners include fast-growing boutique firms and top 50 national firms.\n\nWe have room for 2-3 more accounting firms in our May onboarding batch. Then, in early June, we will be showcasing this and more at the Engage 24 conference.\n\n**If you’d like to see a live demo and potentially sign up:**\n\n1. **Fill out this **[**Tally form**](https://tally.so/r/3qA68k)** or**\n2. **Email** [**launchyc@trytruewind.com**](mailto:launchyc@trytruewind.com)\n\n## **Made with 💛 from our team**\n\nUnfortunately, Mochi 🐶 didn’t make this photo. During our Launch YC a year ago, Truewind was a team of three. Today, we’re 15 strong with over a hundred customers, including multiple top 50 accounting firms. From our team to everyone - Thank you to the many startups and accounting firms we get to work with day in and day out. We look forward to meeting many more of you.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80520&key=user_uploads/391490/c033be10-ba6d-4be4-bd50-045a6052e405)\n\n",
        "url": "https://www.ycombinator.com/launches/Kwi-truewind-ai-powered-accounting",
        "votes": 117,
        "created_at": "2024-04-30T16:34:41.677Z"
      },
      {
        "id": 69622,
        "title": "⛵️ Truewind: AI-powered bookkeeping and finance software for startups",
        "tagline": "Fast growing companies use our AI-bot to automate transaction labeling so they see fewer errors and faster monthly closes.",
        "body": "Let's get down to brass tacks. You need **bookkeeping to stay compliant** with Uncle Sam 🇺🇸 and you need a **financial model for fundraising**. That's what you need. And that's what we do for you.\n\nOn a lighter note, hey everyone! 👋\n\n### **What we do for you**\n\nI’m super excited to launch [**Truewind**](https://www.truewind.ai/) to all of you! **⛵️ Truewind is AI-powered Bookkeeping and Financial Modeling for Startups**\n\nThrough a combination of generative AI and concierge service, we deliver a delightful financial back office experience.\n\n* Reliable bookkeeping\n* Detailed financial models\n* Built exclusively for startups\n* Fast, responsive expertise\n\nBecause you need investor-ready financials. Your dedicated Truewind team prepares your monthly financial statements reliably and accurately, so you have investor-ready financials when you fundraise.\n\n![uploaded image](/media/?type=post&id=69622&key=user_uploads/391490/1f76d30b-864d-4cb1-a600-223fc9065871)\n\n### **We use Generative AI to capture the business context that only you have**\n\nWe are **delivering a 10x better experience to you, the operator**, by making it easier to provide business context.\n\n* We connect to your bank account and then auto-categorize the transactions that we recognize.\n* For the ones we don’t, we’ll send you a message notifying you that we do not recognize this transaction. You reply in **plain simple English** and we’ll handle the rest.\n* For accrual accounting, upload contracts and invoices on Truewind and our software will read those pdf files.\n* If we’re missing information, say we don’t know the duration, we’ll send you a message that we need more information. You reply in **plain simple English** that the duration is 12 months.\n\nFinance and accounting isn’t simply numbers, **it requires business context that only the operators have.** This is where Generative AI shines. We use GPT-3 to digest your natural language inputs, translate it into accounting journal entries, and learn from it so future journal entries can be automated.\n\n### **Most accounting & finance companies are service providers, prone to manual errors**\n\nThere are many vendors that help startups with bookkeeping and financial models. These services companies are easy to start because, in the background, they aren’t building **reliable** accounting and finance software.\n\nThese service providers have armies of operations staff who **manually** enter your data into an accounting system. Then, they **manually** download reports and ship it to you for review.\n\nWhen they don’t recognize a transaction, they ask _you_ to **manually** categorize the data. Then, next month, they’ll ask you to **manually recategorize** the same transaction. Without native accounting and finance software, they do not remember and learn from previous inputs.\n\nWhy is this service provider approach problematic for your company?\n\n**Service providers are error prone.**\n\nLet’s say a wire of $16K comes into your bank account but the memo says `[Online 13875836747 To Jayson (_########62846)]`\n\nWe don’t know what it is, nor do other accounting companies. So you, **the operator**, has to go thru a drop down of 50 items with words you barely understand and you’re expected to figure out what it should be categorized as. Half the time, you just pick something and move on 👎\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69622&key=user_uploads/391490/675a6b16-8efd-4ad7-bd94-61144b3ce66d)\n\n### **Our ask**\n\nIf you haven’t picked up a bookkeeping solution yet, give us a chance at winning your business! And even if you already did, give us a chance to change your mind 😆\n\n**Help us become the #1 recommended financial back-office provider for startups 🔥**\n\n**Truewind Customer Form:** <https://form.typeform.com/to/SrleFO1U>\n\nFill out this Typeform to get started with me, Alex. I’ll answer any questions you have on the call, get you onboarded, and even start on the financial model!\n\n### **Our Customers**\n\nYour finances are a delicate thing, I know. Many other fast-growing startups already work with us (listed below). Hopefully this gives you some confidence 🙂 Many of them YC, many of them not, and many of them current batchmates!\n\n![uploaded image](/media/?type=post&id=69622&key=user_uploads/391490/216923c2-b785-4af4-9414-d46873d95f67)\n\n### **A little bit about us and Mochi**\n\nIt feels weird introducing ourselves in a product launch but given we’ll be working with your financial data, I thought you should know about us.\n\n* I’m a second-time YC founder, ex-Boeing engineer, and ex-VC. As an ex-VC, I worked very closely with startup financial statements and I could build a financial model in my sleep.\n* My co-founder Tennison took a whirlwind of a journey: studying business in school → self taught developer → worked at Flexport Pinterest Alibaba → and now building a fintech startup\n* Mochi is our 2-year old Samoyed pup and the chief motivating officer. Kiddo doesn’t understand fiscal responsibility, all he wants is the best organic food.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69622&key=user_uploads/391490/4837a8f8-f03f-4543-9d54-ab438664be98)\n\n### **Hit us up if we can help you!**\n\nWe published a **Y Combinator W23 Generative AI Landscape** on LinkedIn that has over 800K views - [check it out here](https://www.linkedin.com/posts/alexlee611_ai-startup-generativeai-activity-7033871151416164352-mMeR?utm_source=share&utm_medium=member_desktop).\n\nWe love working with founders, accountants, and finance leaders, so pls don’t be shy. Mochi would love to meet you 😁\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69622&key=user_uploads/391490/7af98c54-b696-4df4-b34f-5f15b55694cd)\n\n",
        "url": "https://www.ycombinator.com/launches/I6w-truewind-ai-powered-bookkeeping-and-finance-software-for-startups",
        "votes": 234,
        "created_at": "2023-02-23T21:26:20.125Z"
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        "body": "### TL;DR\n\nTableFlow enables enterprises to extract and transform unstructured data from CSVs, PDFs, images, and web pages. Instead of spending time on manual data entry and validation, teams use TableFlow to automate these tasks with AI.\n\n![uploaded image](/media/?type=post&id=73464&key=user_uploads/405594/c161bc5a-7c2f-45d1-8e93-39ea826fc6a6)\n\nHi everyone, we’re Eric and Mitch from [TableFlow](http://tableflow.com)! 👋\n\n### Problem\n\nMany companies rely on spreadsheets, PDFs, and other file types to import partner or customer data, which exists in a variety of formats. This difficult and time-consuming process often leads to companies relying on a combination of in-house tooling and manual work to migrate the data. This becomes even more problematic when ingesting hundreds or thousands of files a week.\n\n### Solution\n\nTableFlow handles the file import process with automated pipelines that use AI to map, extract, transform, and validate data.\n\n**How it works:**\n\n1. Define your destination schema in our app. These are the columns and data types that you want to transform data to.\n2. Import a file via our API.\n3. Receive a webhook when the file finishes processing (takes \\~10 seconds, even with 100k+ records). This will include any errors, such as a required field being missing.\n4. Optional: Review the imported data in our application before continuing.\n5. Import the cleaned, transformed data into your system.\n\n[Demo Video](https://www.loom.com/share/a07bfd2c55454127afa44df31a973c81?sid=42c402db-1ee5-4886-a009-484bcdc1df3a)\n\n### TEAM\n\nWe met while working at Heymarket, a Series-A startup in SF. Mitch was the first product hire, and Eric was the first full-stack engineer. During our two years there, we co-owned many projects and defined many of the engineering & product processes to help the company scale. We became friends outside of the office by talking about startups, tennis, pickleball, and mountain biking.\n\n[Mitch](https://www.linkedin.com/in/mitchpatin/) started his career as an engineer before moving to the dark side (product 😛). He previously worked at GE Digital and Bolt and founded a company focused on B2B payments.\n\n[Eric](https://www.linkedin.com/in/ericciminelli/) is a software engineer who previously worked at Facebook and myMatrixx and co-founded a company that created a search engine for car shopping online.\n\n### Asks\n\n💌 If your team handles recurring imports of data in different schemas and formats, we’d love to hear about the problems you’ve encountered. Just leave your info [here,](https://tableflow.com/join-waitlist) and we’ll reach out!",
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        "votes": 122,
        "created_at": "2023-07-26T20:36:20.772Z"
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        "founder_bio": "Co-founder of GoodCourse, the TikTok-style micro-learning platform used by universities to engage students. Responsible for sales, engineering, and product. Background in sales & product roles at VC-backed B2B SaaS start-ups. Oxford graduate.",
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        "founder_bio": "Co-Founder at GoodCourse, the TikTok-style micro-learning platform built for today's teams.\nPrior to GoodCourse I spent +7 years working in early-stage startups in a variety of C-Suite roles, after escaping a 10-year career in banking.",
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        "title": "GoodCourse - Compliance training for modern teams",
        "tagline": "Meet GoodCourse, Tik-Tok style compliance training for modern teams",
        "body": "### **TL;DR**\n\n* **What:** TikTok-style corporate learning platform, used to train employees on compliance topics like harassment and inclusion.\n* **How:** Sign up at [goodcourse.co](http://goodcourse.co) to deploy micro-learning courses which your employees actually want to take.\n* **What clients say**: “We were blown away by the engagement rates!”\n\n![uploaded image](/media/?type=post&id=69458&key=user_uploads/904087/9e5f5743-1a15-4bca-ad1f-6925409ddd0b)\n\n### **Problem and why existing solutions don’t work**\n\n* Companies need to engage their employees on compliance-related topics, but employees hate e-learning. We’ve all had to click through some sort of long, deeply uninspiring course, right?\n* **But why does employee engagement matter?** Well, beyond the moral case for a more equitable and harassment free world - negative workplace behaviors lead to lawsuits, lower productivity, and higher employee churn.\n\n### **How GoodCourse works**\n\nLearners love our courses because they look and feel like the social media platforms we use every day, but you can’t 10x learner engagement with cringe-free content alone. It takes:\n\n* **Peer-led content:** delivered in a way that speaks to your employees.\n* **Learning pathways:** designed in partnership with our team of leading academics\n* **Personalized**: content relevant to your organizational needs\n* **Benchmarking:** across your sector to learn how to better engage your employees\n* **Intelligent delivery:** nudges spaced across days & channels to maximize completion rates\n\n### **YC Deal**\n\nOur product works best for companies that have at least a few hundred employees (usually Series C onwards). Any YC Alumni companies that **sign up on our website will get a 25% discount** on our standard rates.\n\nWe are also extending this deal to any friends of YC. If you know L&D leaders, Chief People Officers or HR Directors that would find this useful, please shoot us an email 🙏\n\nIf you have any questions, email me at [chris.mansfield@goodcourse.co](mailto:chris.mansfield@goodcourse.co)",
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    "long_description": "1stCollab is the first influencer platform that fully automates and optimizes every aspect of your influencer marketing program. We’ve helped hundreds of startups launch their first campaigns and enabled larger brands to scale to thousands of influencers, while saving them over $1M annually in influencer spend.\r\n\r\nWhat we offer:\r\n- Smart search & recommendations – Instantly connect with thousands of relevant influencers.\r\n- Full campaign automation – From outreach and negotiations to contracts, payments, and taxes, we handle it all.\r\n- Real-time performance tracking – Monitor conversions, revenue, and run A/B tests with detailed reporting.",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "We’re focused on solving a two-sided marketplace problem, for brands and creators. For brands, their biggest pain point with influencer marketing is discovering and sourcing creators. Platforms that exist today not only cost >$30k each year, but have very limited discovery capabilities. For instance, [Grin.co](http://Grin.co), one of the top two influencer marketing platforms today, does not surface any Instagram influencers as part of their sourcing tools. We’re going to be the first influencer marketing platform that prioritizes discovery and create the best discovery experience for brands by growing a network of authenticated creators and surfacing those creators through industry leading discovery algorithms and experiences. For creators, 99% of creators don’t get brand deals today, because creators don’t have a way to actively apply to relevant campaigns. By creating an open platform that has a broad set of brands, we can help creators apply to campaigns by showcasing those brands and their campaigns to relevant creators. Creators know their audience and content the best, and through encouraging creator participation, we can facilitate better matchmaking between brands and creators than any platform out there."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "From working at social media companies, we know that users engage at much higher rates with sponsored creator content than organic ads. But the market for sponsored influencer content is being held back, because it’s hard to run influencer marketing campaigns and the tools out there today don’t make it much easier. 1stCollab will simplify and automate influencer marketing the same way that Facebook and Google transformed the digital ads market. If we’re successful, we’ll enable a new category of ad spend—helping more brands to leverage influencer marketing and shift more of their budgets towards it. That’s money that goes directly to creators, enabling orders of magnitude more people to make a living as full-time creators. We have the opportunity to make content creation a genuinely feasible career for many, many talented folks out there—and we’re excited to make it happen."
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      "name": "Gustaf Alstromer",
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        "full_name": "Leon Lin",
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        "full_name": "Varun Bansal",
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        "founder_bio": "Co-founder at 1stCollab, a platform for brands and creators to connect and run marketing campaigns together. Before 1stCollab, I worked at Pinterest, where I was a product manager for the homefeed recommendations team, the international growth team, and—most recently—the creator engagement and community teams.",
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        "full_name": "Andrew Liu",
        "title": "Founder",
        "founder_bio": "Currently working on building a network for brands and creators to connect and launch marketing campaigns. Previously, I was a Tech Lead on search and recommendations at Coupang and Pinterest.\n\n\nIf you're interested in search, recommendations, or creators, please reach out :)!",
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        "experience": "Any (new grads ok)",
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    "launches": [
      {
        "id": 94796,
        "title": "1stCollab - Fully-automated, ROI-optimized influencer marketing",
        "tagline": "Build a community of thousands of creators for your brand–instantly",
        "body": "**tl;dr**: 1stCollab is the fastest way to test, optimize, and scale your influencer program. Instantly source thousands of creators, and let our platform handle everything — outreach, negotiations, contracting, payments, and taxes — all while maximizing ROI.\n\n**Product Demo:** https://www.youtube.com/watch?v=0KI3LN-xqdM\n\n**Ask**: Introduce [leon@1stcollab.com](mailto:leon@1stcollab.com) to companies interested in influencer marketing!\n\n## The Problem\n\nWe’ve spoken with hundreds of startups running influencer programs, and nearly all hit the same roadblocks:\n\n* **Low response rates.** They reach out to about 10-20 influencers and don’t get any responses. \n* **Time-consuming processes.** Even if some creators reply, sourcing, negotiating, contracting, and paying them quickly turns into a full-time job (or an agency retainer).\n* **Scaling is hard.** Early success is exciting, but optimizing and expanding campaigns takes costly tools, headcount, and process.\n\n## What 1stCollab does\n\n1stCollab helps you test out and scale your influencer marketing program to hundreds of creators with an hour of setup work. We do this by automating the exact same influencer process that the world’s best marketing teams run. \n\nHere’s how it works:\n\n**Step 1: Instantly source thousands of influencers**\n\nFree to try out! We’ve indexed all of TikTok, Instagram, and YouTube so you’ll quickly be able to find relevant creators using our search and recommendation tools.\n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/7c914441-b10e-4367-99c6-253a39f48bf6)\n\n**Step 2: We take care of outreach, negotiations, contracting and payments.** \n\nWe handle everything to bring the right creators on board at the right price. You’ll see the full negotiation history and campaign pipeline. Our pricing engine predicts ROI using real-time engagement signals and proprietary data from hundreds of thousands of deals.\n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/05e49138-75eb-4fdc-b941-e24044207a7d)\n\n**Step 3: (Optional) Review content**\n\nCreators submit concepts and draft videos for your approval. All revisions stay organized in one place. Once you give the green light, we take care of payouts and collect performance data.\n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/fc46b925-16b3-4ef8-82df-1380a85dec64)\n\n\\\n**Step 4: Analyze your metrics**\n\nAs creators are going live, we’ll report out on real time engagement and link click metrics. We’ll cut things by ad groups as well so you can experiment with different briefs and creator populations to understand what works well. \n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/90bbd692-5064-454d-a9c4-a20748bd411e)\n\n## Some of our campaigns\n\nWe’ve helped hundreds of startups start their influencer campaigns and scale up to **some of the largest campaigns on social media**. Some interesting case studies to check out include [Framer](https://brands.1stcollab.com/customers/framer), [Locket](https://brands.1stcollab.com/customers/locket), [Gamma](https://brands.1stcollab.com/customers/gamma) and [SnapCalorie](https://brands.1stcollab.com/customers/snapcalorie)!\n\n## How to get started\n\nStart [sourcing creators for free](https://brands.1stcollab.com/) or schedule [some time with Leon](https://calendar.app.google/Zd88eFtzJF3TKs3k6) so we can discuss campaign strategy and we can share with you best practices\n\nAlready running influencer campaigns? A/B test us against your current program — we’re confident we can improve your performance and efficiency!\n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/96f60d67-2c55-48e9-9d78-35dcdddb8e28)\n\n",
        "url": "https://www.ycombinator.com/launches/Oey-1stcollab-fully-automated-roi-optimized-influencer-marketing",
        "votes": 140,
        "created_at": "2025-10-21T19:13:55.295Z"
      },
      {
        "id": 70145,
        "title": "1stCollab — Run an influencer marketing campaign in less than 30 minutes 🎉",
        "tagline": "1stCollab is an AI-powered influencer marketing platform that automates the process of running an influencer marketing campaign.",
        "body": "### **TL;DR**\n\nInfluencer marketing is one of the most efficient ways to reach and acquire new customers, but it’s tedious to run campaigns. By leveraging machine learning and our prior campaign data, 1stCollab lets you run a campaign in under 30 minutes. Visit [1stcollab.com](http://1stcollab.com) to get started with your next influencer marketing campaign!\n\n### **Why is influencer marketing hard?**\n\nFrom our time working at large social media platforms, we know that influencer marketing consistently outperforms organic ads. Unfortunately, launching an influencer campaign is a manual and lengthy process. _Launching an influencer campaign takes weeks_, while launching Google ads takes just minutes. \n\nThe first step of every influencer campaign is to find the right creators to work with—which often takes over 50 hours per campaign. Existing solutions cost tens of thousands of dollars and operate off inaccurate data. As a result, the majority of influencer marketers spend hours manually searching on YouTube, TikTok, or Instagram. From there, they have to manually calculate stats, vet a creator’s audience, evaluate past partnerships, and negotiate rates and contract terms, review creatives, report out campaign metrics, and finally submit payments. This whole process often takes 2+ weeks for a single campaign.\n\n### **How does it work?**\n\n1stCollab lets you launch an influencer marketing campaign in minutes—not weeks. All you have to do is find a single influencer who's relevant to your brand and target customers. Then:\n\n1. Use our [influencer look-alike discovery tool](https://www.1stcollab.com/) to identify, vet, and save additional influencers you'd like to work with. We do what the best influencer marketers do: identify a single relevant creator, dig through that creator’s community, identify additional relevant creators, and repeat the process—but automatically.\n2. Send us your list of saved influencers and tell us about your campaign goals and budget.\n3. We'll take care of everything from there. All you have to do is approve the content that the influencers will post.\n\nWe support campaigns on all platforms. Our self-serve discovery tool currently supports YouTube, and we’re launching for Instagram and TikTok soon.\n\n![uploaded image](/media/?type=post&id=70145&key=user_uploads/1168808/a5397e58-9fda-4820-8ec8-945d2930f80d)\n\n### **Our Team**\n\n![uploaded image](/media/?type=post&id=70145&key=user_uploads/1168808/214846e7-6c27-47c6-9213-4ecac24313be)\n\nOur team has built some of the largest and most-used discovery and ML systems in the world, and has led industry-leading influencer marketing programs.\n\n* [Leon](https://www.linkedin.com/in/leonqlin/) spent nine years at Pinterest, where he was most recently Head of Discovery Product. \n* [Varun](https://www.linkedin.com/in/bansalvarunb/) was at Pinterest for five years, where he led product for both the Creator Engagement and Recommendations teams. \n* [Carina](https://www.linkedin.com/in/carina-cater/) led influencer marketing at Whatnot, Robinhood, and Curology.\n* [Andrew](https://www.linkedin.com/in/zeyu-liu/) was the tech lead for the Recommendations and Search team at Coupang and the Recommendations team at Pinterest.\n* [Kevin](https://www.linkedin.com/in/kevinlau93/) was a Founding Engineer and tech lead for the Machine Learning team at Abnormal Security and earlier, an engineer on the Recommendations team at Pinterest.\n\n### **Our Ask**\n\n* **Want to give influencer marketing a try?** We'd love to help! We're the easiest and fastest way to do it. Our discovery tool is free to try and we’re happy to help you run the rest of your campaign.\n* **Know someone doing influencer marketing?** We'd love to be connected. Even if our product isn't the right fit, we’d love to know how we can make their process faster and improve their performance.\n* **No plans to run an influencer marketing campaign?** Feel free to use our discovery tool and explore creators you might want to work with in the future! We'd love to get feedback on the discovery experience.\n\nIf you have any questions, shoot us an email at [hello@1stcollab.com](mailto:hello@1stcollab.com)!",
        "url": "https://www.ycombinator.com/launches/IFN-1stcollab-run-an-influencer-marketing-campaign-in-less-than-30-minutes",
        "votes": 28,
        "created_at": "2023-03-10T18:04:24.429Z"
      }
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    "id": 27909,
    "name": "Magicflow 𐂂",
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    "website": "https://magicflow.ai",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Prompt engineers, visual artists and AI data scientists are using Magicflow to run experiments at scale and perfect their pipelines\r\n\r\nOur product is ready to use: https://console.magicflow.ai try it out! we have some preloaded examples you can try.\r\n\r\n🤟 Talk to us about anything! We love meeting new people https://calendly.com/magicflowai/",
    "one_liner": "The Gen AI evaluation and curation platform",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1673392871,
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    "country": "IL",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 1006285,
        "full_name": "Yarden Shem Tov",
        "title": "Founder",
        "founder_bio": "Yarden likes to build stuff from scratch, he is the founder of a tech-oriented short-term rental company in Tel Aviv and of what was one of the most popular cars websites in Israel (200K+ visitors per month)\n\nI have been coding since I was 9 years old and have served as a founding team engineer for several start-ups building the MVPs\n",
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      {
        "user_id": 1006424,
        "full_name": "Yotam Hamiel",
        "title": "Founder",
        "founder_bio": "Software engineer with 15+ years of experience building products, ETLs  & ML infra.\n\nEx-Flexport, Ex-Facebook, Ex-8200",
        "is_active": false,
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      {
        "id": 70432,
        "title": "Magicflow - Webflow for AI development",
        "tagline": "A no-code tool to design and run AI workflows, optimized for cost and speed",
        "body": "Hey! We are [Yotam Hamiel](https://www.linkedin.com/in/hyotam/) and [Yarden Shem Tov](https://www.linkedin.com/in/yardenst/), the founders of [Magicflow](https://magicflow.ai/)!\n\nMagicflow is a no-code drag-and-drop tool to design and run AI workflows that easily integrate into your app.\n\nComplex workflows tend to be expensive and slow. We can optimize them for cost and speed so you don’t have to deal with the painful infrastructure work.\n\n![uploaded image](/media/?type=post&id=70432&key=user_uploads/1006285/cf3b8f4e-4f92-40a4-b9f3-bb02603a99f8)\n\n### The Problem:\n\nAI capabilities such as ChatGPT and Stable Diffusion are more accessible than ever. However, they still require a fair amount of technical know-how to deploy and orchestrate, particularly when combining multiple models to create optimized and cost-efficient workflows.\n\n### Our Solution:\n\nMagicflow — a no-code AI model orchestration solution.\n\nWe provide a user-friendly playground that integrates models from top services like [HuggingFace](https://huggingface.co/), [OpenAI](https://openai.com), and [Replicate](https://replicate.com).\n\nWith Magicflow anyone can easily stitch together various models without requiring any DevOps or code.\n\nOnce ready to deploy, workflows are cost/speed optimized and made ready for production.\n\n![uploaded image](/media/?type=post&id=70432&key=user_uploads/1006285/e84b74b9-a806-4ad6-9421-5995b02caa08)\n\nAn example of a workflow built with [Magicflow](https://magicflow.ai).\n\nWe came up with Magicflow by talking to our pre-pivot customers (who were mostly using us as a proxy for AI services). They told us that they needed a way to quickly iterate on their workflows, debug them and deploy them to production in a scalable and cost-efficient way.\n\nOur goal is to provide an accessible solution, for both engineers and non-engineers, to utilize the vast AI capabilities available to enhance their own products.\n\nSuhail (Mixpanel founder) [described it best](https://twitter.com/Suhail/status/1632064689466376194?lang=en):\n\n![uploaded image](/media/?type=post&id=70432&key=user_uploads/1006285/f8ef6c1a-849e-40cb-bf30-2a13db968340)\n\n### How you can help:\n\nWe’re looking to work with companies who rely on AI workflows, and are looking to make them cheaper and faster. If you know someone please contact us at [founders@magicflow.ai](mailto:founders@magicflow.ai)",
        "url": "https://www.ycombinator.com/launches/IK0-magicflow-webflow-for-ai-development",
        "votes": 71,
        "created_at": "2023-03-20T23:38:40.099Z"
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    "id": 27911,
    "name": "IcePanel",
    "slug": "icepanel",
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    "website": "https://icepanel.io",
    "all_locations": "North Vancouver, BC, Canada",
    "long_description": "IcePanel is a collaborative diagramming tool that helps software engineering and product teams align on technical decisions. Teams use IcePanel to create a map of their software systems, giving them full context about how it works.",
    "one_liner": "Design and explain complex software architecture.",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1669087724,
    "tags": [
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    "regions": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/icepanel",
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    "year_founded": 2021,
    "city": "North Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/icepanel/",
    "x_url": "https://twitter.com/ice_panel",
    "fb_url": "https://www.facebook.com/icepanel",
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    "github_url": "https://github.com/IcePanel",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbd813cd554f2fcf891554ea0c9a4e0eceff792e.png",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 690358,
        "full_name": "Jacob Shadbolt",
        "title": "Founder/CEO",
        "founder_bio": "🧊 IcePanel Co-Founder | I am building a simpler (cooler) way to talk about system design and share technical knowledge. Before IcePanel, I was a UX Designer at Mastercard, working on greenfield real-time payment products, including monitoring and mobile payments. I prefer solving \"boring\" problems over jumping on hype trains. Stay chill.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacob-shadbolt-design/",
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      {
        "user_id": 690349,
        "full_name": "Victor Leach",
        "title": "Founder",
        "founder_bio": "🧊 IcePanel Co-Founder | I have a passion for discovering and solving problems with technology, and my mission is to make products that people love!",
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        "title": "Senior Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/icepanel/jobs/KlI6KP6-senior-full-stack-engineer",
        "location": "Vancouver, BC, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K CAD",
        "equity_range": "0.20% - 0.70%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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      {
        "id": 67487,
        "title": "🧊 IcePanel - Collaborative system design; linked with reality",
        "tagline": "A lightweight visual approach to modelling software architecture, linked with resources in the real world.",
        "body": "### **⚡️TL;DR**\n\nCommunication of software systems is hard, visuals help but often lack consistency and are out-of-date within weeks.\n\nIcePanel is a SaaS tool for tech teams to collaborate on their software architecture design.\n\n### **👋 Who are we?**\n\nHey all, we’re [Victor](https://www.linkedin.com/in/victorleach/) and [Jacob](https://www.linkedin.com/in/jacob-shadbolt-design/), the founders of 🧊 [IcePanel](http://icepanel.io).\n\n### **🤬 Problem**\n\nSoftware teams currently use generic diagramming tools to communicate complex systems.\n\n* Software systems are becoming increasingly complex and are hard to explain.\n* Technical teams often find it challenging to tell the right story and gain alignment.\n* Technical diagrams are inconsistent, lack context and drift from reality - becoming out-of-date in a matter of weeks.\n* Engineering and product teams are often misaligned, especially in technical areas.\n\n💩 Bad communication across teams is time-consuming and expensive.\n\n### **🚀 Our solution**\n\nHelp humans visually communicate complex systems; linked to resources in reality.\n\n**1️⃣ Modelling**\n\n> * IcePanel is a collaborative modelling tool, that provides a single source of truth with reusable objects and relationships, keeping your diagrams in sync and up-to-date with changes.\n\n**2️⃣ Consistent language**\n\n* IcePanel is built upon the [C4 model](http://c4model.com), a lightweight layered approach designed for technical and non-technical audiences. This brings consistency to visual & verbal communication about software architecture.\n\n**3️⃣ Linked to reality**\n\n* IcePanel objects can be linked to resources in reality, such as files in Git, that flag as out-of-date if they no longer exist.\n\n### **🫣 Sneak peek**\n\n_Levelled diagramming_\n\n![uploaded image](/media/?type=post&id=67487&key=user_uploads/690358/af8b9aee-00f4-48c5-9215-1c5a75cbb7b9)\n\n_Dynamic flows_\n\n![uploaded image](/media/?type=post&id=67487&key=user_uploads/690358/ead5d78e-c923-41bb-b34a-74d8d03bb9b8)\n\nWant to see more? [Head over to IcePanel!](https://icepanel.io)\n\n### **🙌 Our ask**\n\n* [Try us out](http://icepanel.io) for free & let us know your feedback\n* Connect us with engineering teams who struggle to fully understand their systems\n* Share with your developer or product friends",
        "url": "https://www.ycombinator.com/launches/HYV-icepanel-collaborative-system-design-linked-with-reality",
        "votes": 26,
        "created_at": "2022-11-23T00:36:21.646Z"
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    "id": 27919,
    "name": "Helicone",
    "slug": "helicone",
    "former_names": [
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      "TableTalk",
      "Valyr"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fd0f837e64cef0930fd804e4345c0342b9a2827.png",
    "website": "https://www.helicone.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Helicone.ai is creating an advanced observability platform tailored for developers working with Large Language Models (LLMs). Our goal is to simplify and enhance the operational side of deploying these models, making it easier for developers to monitor, manage, and optimize their AI applications at scale. Helicone provides a unified view of performance, cost, and user interaction metrics for various LLM providers, like OpenAI, Anthropic, and LangChain, empowering developers to make their LLM deployments more efficient, reliable, and cost-effective.\r\n\r\n### Key Features\r\n\r\n1. **Centralized Observability**: Our platform captures and visualizes detailed logs and metrics across all LLM deployments. With tools for prompt management, performance tracing, and debugging, Helicone provides real-time insights into the inner workings of your LLMs.\r\n\r\n2. **LLM Performance Optimization**: Helicone supports prompt experimentation, success rate tracking, and fine-tuning, allowing you to continuously improve response quality and efficiency. This level of insight makes it easier to deliver high-performing, cost-effective AI applications.\r\n\r\n3. **Flexible Data Management**: We understand that data privacy is critical. Helicone supports deployment options for dedicated instances, hybrid cloud integrations, or self-hosted environments, allowing clients to maintain control over their data and ensuring compliance with privacy standards.\r\n\r\n### Built for Developers and Data Scientists\r\n\r\nHelicone is designed to meet the needs of engineers and data scientists who require transparency and control over their LLMs. From chatbots to document processing systems, Helicone equips you with the insights needed to track costs, understand user interactions, and optimize outputs—all from one intuitive platform.\r\n\r\nBy combining observability with LLM-specific insights, Helicone is redefining AI monitoring, empowering developers to deploy and scale their AI models with confidence.",
    "one_liner": "LLM Observability for Developers",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1675832219,
    "tags": [
      "AIOps",
      "Developer Tools",
      "Analytics",
      "Open Source"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
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      "Analytics"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/helicone",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/helicone.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/92878545",
    "x_url": "https://twitter.com/helicone_ai",
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        "body": "**TL;DR Instead of building tools to monitor your generative AI product, use Helicone to get instant observability of your requests.**\n\nHey everyone, we are the team behind [Helicone](http://www.helicone.ai/).\n\n**Scott**  brings UX and finance expertise: 4+ years across Tesla, Bain Capital, and DraftKings.\n\n**Justin** brings platform and full-stack expertise: 7+ years across Apple 🍎, Intel, and Sisu Data.\n\nWe’re on a mission to make it extremely straightforward to **observe** and **manage** the use of language models.\n\n## **❌ The Problem**\n\nYou’re using generative AI in your product and your team needs to build internal tools for it:\n\n* You want an **admin mode** to **visualize** outputs, conversations, or prompt chains\n* You don’t know the **unit economics** of your product, like the average cost of a user or conversation\n* Your usage grows and you’re quickly **running into rate limits** with your provider, but your errors are opaque\n* You don’t know **when it’s time to fine-tune** your model and when you would get cost-savings from it\n\n## 🪄 **Our Solution**\n\nHelicone logs your completions and tracks the metadata of your requests. It is an analytics interface for understanding your metrics broken down by users, models, and prompts with visual cards. It caches your completions to save on bills, and helps you overcome rate limits with intelligent retry techniques.\n\n![uploaded image](/media/?type=post&id=69629&key=user_uploads/1203799/6118a1c6-83ab-4f6d-a671-6c835bda3698)\n\n## ⚙️ How it works\n\n🎩 **Integrate Helicone with one line of code**\n\nHelicone is a proxy service that executes and logs your requests, secured by Cloudflare workers around the globe to add [less than a scratch](https://docs.helicone.ai/how-it-works/latency) to your overall latency.\n\nPlug Helicone into wherever you are calling OpenAI with a [**single line of code**](https://docs.helicone.ai/quickstart/integrate-in-one-line-of-code) by changing the base URL, and immediately get a visual experience for your requests.\n\n![uploaded image](/media/?type=post&id=69629&key=user_uploads/1203799/6230af56-0e40-4c3e-a72c-996b6cc142dd)\n\n🔖 **Customize requests with properties**\n\nAppend custom information like the user, conversation or session id to group requests, then instantly get metrics like the total latency, the users disproportionately driving your OpenAI costs, or the average cost of a user session.\n\n📥 **Setup caching and retries**\n\nEasily cache your completions so that duplicate requests don’t drive up your bill. Customize your cache for your application’s unique requirements. This removes the latency overhead when you’re experimenting to make development faster.\n\nConfigure retry rules when you run into rate limits, or even route your request to another provider when your service is down.\n\n![uploaded image](/media/?type=post&id=69629&key=user_uploads/1203799/00d73946-0303-4024-9fc3-da961f05275b)\n\n## Get started **in seconds**\n\n* Try it **for free** at [helicone.ai](http://helicone.ai)\n* Book a call with the team [on our calendly](https://calendly.com/d/4hs-9jb-b96/helicone-intro)\n* Join our [Discord community](http://discord.gg/zsSTcH2qhG)\n* Email the team at [help@helicone.ai](mailto:help@helicone.ai)\n* We’re open source! Check out and support our repository at [github.com/Helicone/helicone](http://github.com/Helicone/helicone) ⭐",
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        "body": "**tl;dr:** We make it easy to take care of safety so that you can focus on the product. Intrinsic integrates **policy management, data engineering, moderator workflow management, and content understanding** under one platform. [Ping us for a demo!](https://www.withintrinsic.com/contact)\n\n\\\nHey everyone! We’re Karine and Michael, the team behind Intrinsic.\n\nWe’re working to help connect safety teams with the best tools available to prevent abusive behaviour and tell better stories. We both come from Apple and Discord, where we worked on the Trust & Safety machine learning and data engineering infrastructure that was pivotal in protecting both platforms from large-scale abuse. We believe that a safer internet for everyone starts with more accessible safety tools.\n\n### **Who this is for**\n\n* Engineers implementing safety features into products\n* Product managers and directors of Trust & Safety teams\n\n### **Problem**\n\nTrust & Safety engineers are tasked with maintaining platform integrity and user safety in an era of evolving **fake accounts, illegal content, hate speech, misinformation, and child safety concerns.** Nobody wants this stuff on their platforms, but getting up and running with industry best practices is challenging.\n\nCurrently, there are two huge barriers to shipping safety-by-default products:\n\n* T&S teams are siloed from crucial data they need to evaluate safety risks and measure impact. Product and customer service teams own this data.\n* Data integration with either in-house or third-party detection services is costly.\n\nAs a result, safety engineers and data scientists are caught in an endless cycle of blindsided firefighting and doing tedious integrations.\n\n## **Solution**\n\nIntrinsic is a platform for Trust & Safety with a focus on scalability and composability of processes to help a company move faster in responding to evolving threats:\n\n* We handle setting up detection, enforcement, policy management, and integrating an observability platform designed for Trust and Safety.\n* We focus on helping you get up and running end-to-end in minutes for a new safety product integration.\n* We automatically make all Trust & Safety actions, whether banning users or flagging content for review, to be logged and measurable.\n* We can help diagnose failures by tracing safety stories that span disparate products, for example tracing a particular enforcement back to a specific clause of terms and conditions that was breached.\n\nTrust & Safety and Fraud are two problem domains that require rapidly evolving AI systems that start with machine learning and rules (proactive detection) and end with human decisioning (content moderation). We believe that by streamlining this process and closing the feedback loop — **the applications go far beyond Trust & Safety and into any domain that benefits from a rapidly evolving response**.\n\n## **Asks**\n\nIf you know anyone who’s ever had issues with the following,\n\n* Spam, fake accounts, bots\n* Low-quality content\n* High-harm content (bullying, child safety issues, violent speech)\n\nPing [Karine](https://www.linkedin.com/in/karinemellata/), [Michael](https://www.linkedin.com/in/michael-lin-2933a013b/) or [founders@withintrinsic.com](mailto:founders@withintrinsic.com), we would love to schedule a demo!",
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        "full_name": "Nicolas Bustamante",
        "title": "Founder",
        "founder_bio": "https://www.nicolasbustamante.com/about",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bustamantenicolas/",
        "x_url": "https://twitter.com/nicbstme",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17d46538d8d8d5bbffb6d81f6a0663a4edab773e.jpg"
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      {
        "user_id": 810472,
        "full_name": "Edouard Godfrey",
        "title": "Founder",
        "founder_bio": "Founder @ Fintool",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edouardgodfrey/",
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    "id": 27928,
    "name": "Portalform",
    "slug": "portalform",
    "former_names": [
      "Portalform",
      "Fiber",
      "Looooooops",
      "David"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f5af53645d0c8a5e381e823c37447e8c67bdbba2.png",
    "website": "https://portalform.com/",
    "all_locations": "Ashburn, VA, USA",
    "long_description": "Coming soon",
    "one_liner": "Build and host internal tools",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1676832111,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/portalform",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/portalform.json",
    "year_founded": 2022,
    "city": "Ashburn",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/felipearp/",
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    "founders": [
      {
        "user_id": 203888,
        "full_name": "Felipe Aragão",
        "title": "Founder",
        "founder_bio": ":)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/felipearp",
        "x_url": "https://x.com/felipap",
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      {
        "id": 70073,
        "title": "Fiber: The API data you need, straight from your database",
        "tagline": "We keep your database in sync with your customers' third-party data",
        "body": "_TLDR: Fiber syncs customers’ data from popular APIs straight into your database to power your SaaS integrations. We help your team skip months of development (and years of maintenance), and focus on what really matters: your core product and features._\n\nHey, [Felipe here](https://www.linkedin.com/in/felipearp/). I’m a software engineer who spent the last 3+ years building apps and plugins for e-commerce companies. Project after project, I was shocked at the amount of boilerplate required just to reliably sync from 3rd-party APIs. I decided to start Fiber to solve this problem and help SaaS companies ship faster.\n\nLet me explain: 👇\n\n## **The Problem**\n\nIf you’re building a SaaS tool, you’re probably hoping to ship some integrations next quarter. To do so, your team will have to write a ton of code to authenticate, paginate, backfill, and listen for changes on each API you’re reading from. Once all this work is done, you will need to worry about hosting, maintaining and scaling this integration pipeline… _forever_. 😱\n\nIf your API vendor is in a fragmented vertical such as finance or HRIS, you are probably better off using a unified API to skip most of this integration trouble. Otherwise, if you need deep integrations with unique tools, you’re out of luck. You had to do all this work from scratch.\n\n**_But now…_** you can use Fiber! 🌀\n\n## **The Solution**\n\nFiber is an ETL service that is laser-focused on the needs of _developers_ (no offense to data people). We help you skip the work of pulling users’ data from 3rd-party APIs (eg. their Quickbooks reports, Salesforce accounts, Github issues etc), and just consume it straight from your main database:\n\n![uploaded image](/media/?type=post&id=70073&key=user_uploads/203888/dfc9f660-4146-4ece-9146-b1b83d0a928f)\n\n_(Yes, we have a great dashboard too, but you don’t even need to use it!)_\n\nHere are all the required steps:\n\n1. Register your database with us. (We will walk you through creating a database user that can’t access any of your existing, sensitive information.)\n2. Choose which third-party API to pull data from, and which of their resources you need.\n3. Hit the Fiber API whenever a client connects your SaaS to this third-party tool.\n\nThat’s it. You can now focus on your core products, knowing the user data you need will be kept up-to-date inside your database. 🤘\n\n## **The Ask**\n\nAre you or someone you know building a SaaS? Let’s chat! You can [pick a time here](https://calendly.com/portalform/25min) or email me directly at felipe@portalform.com.",
        "url": "https://www.ycombinator.com/launches/IED-fiber-the-api-data-you-need-straight-from-your-database",
        "votes": 288,
        "created_at": "2023-03-10T19:39:28.255Z"
      }
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  },
  {
    "id": 27935,
    "name": "compliant-llm",
    "slug": "compliant-llm",
    "former_names": [
      "ZKomm",
      "Devpod",
      "FiddleCube",
      "compliant-llm",
      "compliant-llm (fka FiddleCube)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e836589affa3183241d8a3c3f2914bb8dc44d2a8.png",
    "website": "https://www.compliantllm.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CompliantLLM detects every data leak into third-party GenAI tools used in your company by monitoring employee interactions.\r\n\r\nSecurity and tech leaders get visibiliity and control over the data flowing into various Gen AI apps used in their organizations.",
    "one_liner": "Detect every data leak into third-party GenAI tools",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1690346092,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/compliant-llm",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/compliant-llm.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fiddlecube/",
    "x_url": "https://twitter.com/FiddleCubeAI",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1124543,
        "full_name": "Neha Nupoor",
        "title": "Founder",
        "founder_bio": "Building CompliantLLM - Preventing data exfiltration into Gen AI apps.\n\nBuilt AI Customer Support at Uber.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nehanupoor/",
        "x_url": "https://twitter.com/nupoor_neha",
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      },
      {
        "user_id": 1103301,
        "full_name": "Kaushik Srinivasan",
        "title": "Founder",
        "founder_bio": "Working on preventing data leaks into Gen AI apps.\n\nWas previously building payment systems at Google Pay and AI customer support at Uber.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kaushik92/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da6e5ea0e13e2b882e4979f9ebce8415c3a9dff7.jpg"
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      {
        "id": 92988,
        "title": "CompliantLLM - Detect Data Leaking into 3rd Party GenAI tools",
        "tagline": "Detect data breaches in approved & unapproved AI workflows",
        "body": "Hi YC,\n\nWe’re [Kaushik](https://www.linkedin.com/in/kaushik92/) and [Neha](https://www.linkedin.com/in/nehanupoor/), cofounders of [CompliantLLM](https://www.compliantllm.com?utm_source=bookface&utm_medium=social&utm_campaign=compliant-llm).\n\nCompliantLLM detects every data leak into third-party GenAI tools used in your company.\n\nIf you’re worried about data exfiltration risks at your organization, reach out to us at [founders@fiddlecube.ai](mailto:founders@fiddlecube.ai). We would love to learn more!\n\nhttps://www.youtube.com/watch?v=XbheLR6CIMc\n\n## TL;DR\n\n* GenAI products introduce new surfaces for data leaks – a growing concern with increasing AI usage in companies.\n* CompliantLLM analyzes AI logs and finds GenAI-specific attacks and anomalies to detect data breaches.\n* It surfaces every PII-leak or unauthorized/malicious data access, across approved and unapproved AI workflows.\n\n## Problem\n\n* GenAI introduces new ways for leaking sensitive data or breaching data access controls. The problem is getting worse as AI agents connect to more workflows with increasing autonomy.\n* Currently, **leaders lack visibility and control into which GenAI apps are in use and the potential data-exfiltration risks that they create.**\n\n![uploaded image](/media/?type=post&id=92988&key=user_uploads/1103301/bf03c8da-80fd-4ea5-9dc6-8b280f72e7da)\n\n**Source:** https://www.ibm.com/reports/data-breach\n\n---\n\n---\n\n## Solution\n\nCompliantLLM monitors employee interactions with third-party GenAI tools and detects every data exfiltration incident.\n\nWe monitor users’ past actions, their role, and data access permissions across teams, identifying unauthorized data access and prompt injection attacks.\n\nWe segment the violations into meaningful and malicious types, and give the teams an option to take an unobtrusive approach towards AI governance in the company.\n\n## Ask\n\nIf this is on your mind, we would love to talk more. Reach out to us at [**founders@fiddlecube.ai**](mailto:founders@fiddlecube.ai)\n\n## Team\n\n![uploaded image](/media/?type=post&id=92988&key=user_uploads/1103301/ca7550ae-8834-4cb8-ac11-0f93305f9b04)\n\nKaushik was previously an engineer leading payments solutions at Google Pay, where he faced the problem of building compliant payment gateway solutions. He worked at Uber before this on their customer support AI efforts, where he met Neha.\n\nNeha previously led the automation of customer support at Uber using AI Agents. She brings her experience of building real-time AI workflows that worked at Uber’s scale and complexity to build CompliantLLM.",
        "url": "https://www.ycombinator.com/launches/OBo-compliantllm-detect-data-leaking-into-3rd-party-genai-tools",
        "votes": 8,
        "created_at": "2025-08-14T15:04:31.154Z"
      },
      {
        "id": 82440,
        "title": "FiddleCube - Data platform for fine-tuning LLMs",
        "tagline": "Synthetic data platform to streamline dataset generation for custom LLM training",
        "body": "### TL;DR: Upload your files & generate a high-quality dataset in minutes. [Give it a go](https://dashboard.fiddlecube.ai/sign-up)!\n\nLlama3.1 405B has just dropped, and it's already outperforming GPT-4o. As we assist our customers in fine-tuning domain-specific LLMs, we see firsthand that it's no small feat. It requires an extensive, diverse, and superior-quality dataset, and multiple iterations of training to get it right.\n\n## ❌ Creating high-quality datasets from raw data is messy!\n\n**Identifying the right data** in the knowledge base is a manual, challenging process.\n\n**Data cleaning and filtering** takes significant effort and man-hours, and is error-prone.\n\n**Costs of training & evals skyrocket** **with bad datasets** requiring multiple iterations of training.\n\n## ✅ We're making it easy and efficient for businesses.\n\nFiddleCube’s data platform converts your data corpus into a high-quality fine-tuning dataset. Generate 1000s of rows of multi-turn chat, function-calling, and QnAs. Additionally, augment your datasets synthetically from unstructured data to improve your model's performance.\n\n**Our users have used us to:**\n\n* **Save >2 months in their data cleaning, preparation, generation, and quality check cycle.**\n* Generate a **high-quality training dataset** that accurately resembles their production data without PII.\n* Generate a **golden dataset** for testing & benchmarking their AI-powered apps.\n* Generate **gender diversity, safety & guard railing** dataset.\n* **Customize the tone** of their responses instead of a standard GPT-like tone.\n\n## 🚀 FiddleCube’s - Data platform empowers you with:\n\n* **Data generation - A simple & clean UI** to generate datasets from PDF, TXT, and data sources to train your model.\n* **Dataset Management** - Editing, versioning, RBAC, and synthetic data augmentation to create self-correcting datasets.\n* **Diagnosing** **and improving underperforming queries** with regression testing & detailed data diagnostic tools.\n* Use **production logs and feedback** to auto-generate datasets.\n\n![uploaded image](/media/?type=post&id=82440&key=user_uploads/1103301/d3b373f7-800d-4539-8790-364859f60904)\n\n### 🙋‍♂️ Let's Take Your Data to Production and Get You Started\n\n[Sign up here](https://dashboard.fiddlecube.ai/sign-up) to generate your first dataset. Or [book a call with us](https://fiddlecube.ai/contact-us) for help in getting started.\n\n![uploaded image](/media/?type=post&id=82440&key=user_uploads/1103301/1b2e9f87-678a-4b9b-9f13-f1c4e4e3af3b)\n\n",
        "url": "https://www.ycombinator.com/launches/LRg-fiddlecube-data-platform-for-fine-tuning-llms",
        "votes": 37,
        "created_at": "2024-07-25T16:24:53.504Z"
      },
      {
        "id": 73434,
        "title": "🎲 FiddleCube - Automated dataset generation for fine-tuning LLMs",
        "tagline": "Create high-quality datasets for fine-tuning and reinforcement learning.",
        "body": "Tl;Dr; Fine-tuning LLMs requires high-quality datasets. FiddleCube automagically generates fine-tuning datasets from your data.\n\n**User Data Source > Fine-tuning Datasets (FiddleCube) > Fine-tuning**\n\nHead over to [fiddlecube.ai](http://fiddlecube.ai) to get started!\n\nHi everyone, we are Neha and Kaushik. We’re building FiddleCube to make high-quality datasets accessible to everyone.\n\n![uploaded image](/media/?type=post&id=73434&key=user_uploads/1103301/b1e5c3f8-b7af-42f7-b251-bbb11ad5d38f)\n\n🦸 Kaushik spent most of the last decade building tech at companies like Google, Uber, and LinkedIn.\n\n🧙🏻 Neha has spent a similar amount of time as a dev at multiple startups, most recently at Uber\n\n👫🏻🫶🏻 We met at Uber, eventually got married, and decided to build a startup together, following our passion for AI.\n\n# 😤 The Problem\n\nIn the real world, LLMs need to be aligned to follow human instructions. It needs to respond in a manner that is:\n\n* Positive, Truthful & Honest\n* And in accordance with human beliefs and sensibilities\n\n![uploaded image](/media/?type=post&id=73434&key=user_uploads/1103301/d7f8e8a0-2522-4ecf-a80e-d591c6cacd9a)\n\nRemarkable outcomes have been achieved towards this end by fine-tuning and reinforcement learning with high-quality datasets. However, creating these datasets takes significant time, manual effort, and money.\n\n# 💡The Solution\n\nFiddleCube leverages a suite of AI models to create high-quality datasets for fine-tuning and reinforcement learning.\n\n* Generate annotated datasets from raw data.\n* Augment the datasets - create large datasets to significantly improve model performance.\n* Evaluate and improve the data quality of your training dataset.\n\nWe create a rich, diverse, high-quality dataset to produce better models with a lower corpus of data.\n\n# ⚙️ Use Cases\n\n### 👩🏻‍🎤Personalization\n\nGive the model a personality, voice, and tone. For example, you can create a safe Dora the explorer / Peppa Pig model that speaks to children.\n\n### 👩🏻‍💻 API calling and coding\n\nFor specific use cases like making API calls or generating code, fine-tuning has provably demonstrated better results. You can fine-tune the LLM on a corpus of code or API data to significantly improve their ability at these tasks.\n\n### 🚄 Increase Throughput, Reduce Latency and Cost\n\nFine-tuned LLMs are much smaller than the foundational models. You can use them to increase throughput and reduce latency and cost.\n\n### 🗺️ Low Resource Domains\n\nLLMs perform poorly in certain domains like vernacular languages. These domains lack a sufficient corpus of high-quality data. Fine-tuning using generated datasets has shown remarkable improvements over the state of the art in these cases.\n\n# 🙏🏻 Ask\n\nAre you fine-tuning any LLM, or looking to fine-tune LLaMa V2, MPT, or Falcon? We would love to know your use case. Drop a comment on what you are doing, or reach out to us privately!\n\n# 👋🏻 Need help with fine-tuning?\n\nBook a slot on our calendar 🗓️ or drop us a line using:\n\n\\- Email 📧 : [kaushik@fiddlecube.ai](mailto:kaushik@fiddlecube.ai)\n\n\\- [Typeform](https://m6qcwjky3c1.typeform.com/to/CyfMeAbT) 📝\n\nand we will get back to you!",
        "url": "https://www.ycombinator.com/launches/J6Q-fiddlecube-automated-dataset-generation-for-fine-tuning-llms",
        "votes": 87,
        "created_at": "2023-07-26T05:46:22.692Z"
      }
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    "id": 27938,
    "name": "Boundary",
    "slug": "boundary",
    "former_names": [
      "Gloo",
      "Gloo Chat",
      "Gloo"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d66bb51ef2922c834b2fbb6de2b175e7a85b8f8.png",
    "website": "https://www.boundaryml.com",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Boundary is building BAML -- a programming language to build AI agents.\r\n\r\nWe used to code in assembly, and moved on to C.\r\nFrom C, we moved on to higher level languages like Python.\r\nNow we are going from Python to natural language.\r\n\r\nWhat does the code look like when 50% of the business decisions is decided by an AI agent / prompts? How do you test these AI components? We made BAML to address these problems.\r\n\r\nBAML helps has built-in tools to test, observe, and work with structured LLM outputs / tool calling natively in the language 10x faster. With BAML you can also instantly parallelize LLM Calls, or react to certain events or changes in your pipelines, without having to write any boilerplate. It's like using 'React' for AI.\r\n\r\nBAML code can used from any other language -- providing a standardized way to organize and declare any LLM or AI code.",
    "one_liner": "The programming language for AI",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1678219068,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "Machine Learning",
      "AI"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/boundary",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/boundary.json",
    "year_founded": 2023,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/boundaryml",
    "x_url": "https://twitter.com/boundaryml",
    "fb_url": null,
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    "github_url": "https://github.com/boundaryml/baml",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 15777,
        "full_name": "Vaibhav Gupta",
        "title": "Founder",
        "founder_bio": "Vaibhav is a software engineer with over 7 years of experience building innovative products. At Microsoft, he worked on realtime 3D reconstruction for HoloLens, gaining expertise in computer vision and 3D graphics. At Google, he led performance optimization on ARCore and Face ID, significantly improving latency and quality. Now he's bringing that same experience to help bring better quality and speed to Generative AI technology. For talking anything Computer Vision/AI/Performance, reach out!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vaigup/",
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      },
      {
        "user_id": 855521,
        "full_name": "Aaron Villalpando Gonzalez",
        "title": "Founder",
        "founder_bio": "Aaron has worked for the better part of a decade scaling out distributed systems at AWS and launching full-stack consumer facing products at Prime Video. He is now passionate about building scalable ML infrastructure and the best developer experience at Gloo. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaron-villalpando-99284576/",
        "x_url": "https://twitter.com/aaronnstuff",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc2f2802ccc1a0e9e00e06a91218ae60fe6ebb67.jpg"
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    ],
    "jobs": [
      {
        "id": 80382,
        "title": "Engineers that enjoy hard things (like compilers)",
        "url": "https://www.ycombinator.com/companies/boundary/jobs/f31pAPu-engineers-that-enjoy-hard-things-like-compilers",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.15% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Rust"
        ]
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    ],
    "news": [],
    "launches": [
      {
        "id": 70071,
        "title": "Gloo: Empower LLM’s with domain-specific knowledge",
        "tagline": "We help LLMs like ChatGPT connect to knowledgebases and add mechanisms to stop them from hallucinating..",
        "body": "**tl;dr** LLMs are awesome, but they have no knowledge about your data, and when you give it to them, they’re prone to make stuff up. We help developers build a searchable knowledgebase that LLMs can understand, and validate their responses are legit.\n\nHey everyone! We’re Aaron and Vaibhav from Gloo and we’re on a mission to help LLMs understand your data and get them to stop hallucinating all over the place.\n\n![uploaded image](/media/?type=post&id=70071&key=user_uploads/855521/fefa49cf-6a22-4913-ac9e-da9550da9e69)\n\n### **The problem**\n\nBuilding a knowledge graph isn’t as easy as calling OpenAI embeddings API, storing them in a VectorDB and calling it a day. Developers have to choose from a myriad of parameters like chunking algorithm, embedding type (even based on the content), vectorDB, whether to fine-tune or not, how to securely store the data — and the list goes on and on.\n\nOnce you feed everything into the LLM, you’re only halfway there, as getting rid of hallucinations is tricky, and confidently incorrect answers to customer questions will give you headaches in the long-term.\n\nOn top of that, you still have your actual customer problems to still fix: getting the customer data, building flows on top of the LLM, writing the right prompts, getting more customers.\n\n### **The solution**\n\nGloo is the managed solution to building your knowledge graph — built for LLM context-windows from the ground-up. **We stand up a search API for your data that supports both keyword and semantic search**, and we smartly index and compute embeddings for you based on the content type. Once that’s setup, you can call our **_Check-_GPT API to check LLM answers** against your knowledgebase to ensure trustworthiness.\n\n![uploaded image](/media/?type=post&id=70071&key=user_uploads/855521/4c3b7bd2-6924-427b-a1f6-6aa194ae500f)\n\nWe built our search with a security-first approach. Your data is always server-side encrypted, and never actually stored in 3rd party Vector DBs. We are also supporting new transformations search engines couldn’t do before, like generating document summaries (powered by LLMs!), so you don’t have to spend precious time computing this at query time.\n\nAll of your data is viewable in your own personal dashboard where you can track embedding jobs, play around with different search parameters, and search query performance and analytics.\n\n![uploaded image](/media/?type=post&id=70071&key=user_uploads/855521/3e191b7a-73b1-4b36-983c-8852002a646e)\n\n### **Asks**\n\nReach out to us at **founders@gloo.chat**\n\n* If your AI keeps making shit up ☠️\n* If you want your LLM to stop saying “Sorry I dont know 😵‍💫”\n* If you’re worried about data security and VectorDBs / LLMs 🔒",
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        "votes": 54,
        "created_at": "2023-03-08T22:57:42.876Z"
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    "name": "Sage AI",
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        "id": 78163,
        "title": "Sage AI - Your self-generating, self-maintaining code knowledge base",
        "tagline": "We provide a platform that creates and updates symbol-level documentation with language-specific, cross-program context that you can talk to",
        "body": "Hi everyone, we’re Akhil and Joshua and we're on a mission to accelerate expertise and comprehension of any codebase by providing a self-generating, self-maintaining code knowledge base.\n\n![uploaded image](/media/?type=post&id=78163&key=user_uploads/1192337/c88f4b22-6168-4ae1-9424-7944ba0ed16d)\n\n### 🧨 The Problem\n\nThe story of every software team is a constant struggle with knowledge friction and maintaining expertise in the code and surrounding systems.\n\nThese are the perennial issues we’re solving:\n\n* **Staleness:** Most documentation is perpetually stale and it slows development to keep it fresh.\n* **Complexity:** Code becomes more difficult to maintain and improve as it increases in age and size. This is the main reason enterprises with extremely large, old, and complex code can’t move fast.\n* **Fragmentation:** Code information is unversioned and unlinked across disparate platforms, so it’s often unclear what your Confluence article is referring to and whether it’s still applicable.\n* **Discoordination:** Information silos impede collaboration and lead to unnecessary repetition of work. Cross-team features and bugs are exponentially harder to implement and resolve.\n* **Underutilization:** Engineers are expected to take 8-12 months to fully onboard and usually experience a “sink-or-swim” strategy for ramping up a new team.\n* **Overdependence:** Core knowledge is continually lost as employees turnover. Raise your hand if you’ve ever needed to touch code that’s written by an engineer who left in 2014. 🙋\n\nWhether you’re a newly hired engineer, just moved teams, or need to touch code you’ve never seen before, it’s the steepest learning curve in software engineering. This is the skeleton-in-the-closet of software: your average engineer spends more than 40% of their 2-year-tenure “onboarding.”\n\n### 🎉 The Solution\n\n[Sage](https://www.ycombinator.com/companies/sage-ai) is changing this reality. We take your code and automatically generate a symbol-level knowledge base that self-updates to remain forever fresh.\n\nFirst, we integrate with source control to pull your code and generate a symbolic graph representation of functions, classes, interfaces, types, etc., automatically determining the relevant context for each symbol.\n\nWe then use LLMs to annotate and propagate documentation via traversals of the symbol graph, saturating knowledge across multiple traversals.\n\n![uploaded image](/media/?type=post&id=78163&key=user_uploads/1192337/14c14041-7efc-425c-9535-913fa9934ccb)\n\nWe're also exposing a configurable, deeply contextualized chat system that can derive higher-level purposes and objectives of program symbols and modules from its own knowledge base.\n\n![uploaded image](/media/?type=post&id=78163&key=user_uploads/1192337/a6b0701b-c4a8-42ad-9405-1d495ee05dad)\n\nIn the future, we'll let your engineers themselves improve the system, and integrate and link current knowledge systems such as Slack and Confluence. As its comprehension of your codebase grows, the quality of every downstream task improves automatic coding, testing, refactoring, bug fixing, vulnerability detection, and so on.\n\n### Our ask\n\n* If you are a software engineer and have struggled with documentation or onboarding in the past, sign up to try the platform at <https://sage-ai.dev>. We would love to get your feedback!\n* If you know any engineers or engineering managers who might be interested in using our platform with their teams, let us know at [founders@sage-ai.dev](mailto:founders@sage-ai.dev)\n* If you are developing AI systems that deal with codebases, let us know if you are interested in consuming docs and symbol graphs as an API.\n* Share any additional feedback in the comments!\n\nSage AI Team (Akhil and Joshua)",
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        "created_at": "2024-02-05T17:43:51.471Z"
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        "title": "Semantic Finance: Real-time AI-powered financial news data",
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        "body": "TL;DR: Semantic provides financial institutions a real-time news insights API for events that affect the financial markets. We use trade data, articles, social media engagement data, and breakthroughs in language models to filter the 99% of noise faster than the markets can react.\n\n—\n\n---\n\nHey YC, we’re Josh and Akhil, and we’re building Semantic.\n\nJosh (CEO) met Akhil (CTO) in high school and share a similar interest in how underutilized qualitative data is in financial markets.\n\nWe reconnected after a combined 7 years of experience in Software Engineering at companies such as Google, IBM, Squarespace, and Charles Schwab.\n\nWe’ve been studying how news impacts markets from a quantitative standpoint independently for years. Joshua developed an event-based trading algorithm that Ematiq proposed to implement during his time at Google.\n\n### **The Problem**\n\n\\\nAs trading firms spend tens of millions on microwave networks, racing for the fastest market data and order execution, GPT-4 has introduced a new race for relevant financial information retrieval and processing. Existing news feeds are too slow, unactionable, and noisy. They provide no additional information or filtering on the context, urgency, and market impact.\n\n### **The Solution**\n\n\\\nWe provide a novel insights layer on top of aggregated news and social media feeds, leveraging breakthroughs in LLMs’ (large language models) incredible semantic understanding of text to structure and automatically find the news that matters.\n\nWe monitor clustered mentions across multiple sources, engagement metrics over time, and anomalous price/volume changes to determine the market impact of events in real-time.\n\nOur primary offering is the **Semantic API**, which is article and tweet data that has been cleaned, filtered, and structured using LLMs.\n\n![uploaded image](/media/?type=post&id=70729&key=user_uploads/1192337/9ba82b9b-98ae-4ce5-8295-6a7c25e81ce5)\n\nYou can also receive alerts ahead of the market on events that matter with **Semantic Alerts**. Configure which priority levels activate Discord, Telegram, SMS, email, and phone calls.\n\n![uploaded image](/media/?type=post&id=70729&key=user_uploads/1192337/6a2d288e-0eb9-4eda-95cc-34045e4a01a2)\n\n### **Asks**\n\n* Do you know people at any trading platforms or institutions (hedge funds, prop shops, trading firms) that might benefit from low-latency financial news insights and alerting system?\n* Are you a trading platform or financial institution looking for configurable real-time financial news insights to surface to your customers?\n\n[Sign up for early access](https://semanticfinance.com/)!\n\nSemantic Team (Josh, Akhil)",
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        "votes": 30,
        "created_at": "2023-04-03T23:14:29.451Z"
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        "full_name": "Alexander Bell",
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        "founder_bio": "I'm Alec, co-founder and CTO of ThunderPhone. We build AI voice agents that handle real phone calls for businesses. Before that I was the solo founder of SensorSurf (W23), building data infrastructure for robot fleets. More at alexandertbell.com.",
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        "id": 67785,
        "title": "🏄 SensorSurf - Data infra for robotics",
        "tagline": "We help robotics companies collect and manage petabytes of data",
        "body": "> **tl;dr:** Robots produce a lot of data, and it’s a challenge to collect and manage all of it. Our infrastructure enables companies to easily collect, offload, and make use of sensor data.\n>\n> ![uploaded image](/media/?type=post&id=67785&key=user_uploads/1161431/6669487c-0baf-4116-b0b7-1dd6b0ba7ec6)\n\n\n---\n\nHowdy, YC! I’m [Alec Bell](https://www.linkedin.com/in/alec-bell/) from SensorSurf. I love robots, and I’m writing software to make it easier to build them.\n\n### **❌** Problem\n\nRobots generate absurd quantities of data. **A single self-driving car produces up to 1.5 petabytes/year** ([source](https://www.tuxera.com/blog/autonomous-cars-300-tb-of-data-per-year/)). Developers need access to this data to diagnose issues, train models, and run simulations; but it’s hard to get a hold of since its clunky and sits on an edge device. Robotics companies currently build data infra in-house, which is extremely costly.\n\n### ✅ Solution\n\n**SensorSurf offers the infrastructure to collect, offload, and make use of sensor data.** Users can specify where, when, and what data to collect. From there, they can selectively offload it, run queries on it, visualize it, and put it to work for purposes like debugging, annotation, and analytics.\n\n### 👨‍💻 How it works\n\nRobotics companies install **a tiny agent on their robots,** which allows us to establish a connection to our services and **observe their system.** We can then collect data across a fleet of robots and help users manage/search it in the cloud, accounting for network constraints that our customers may experience.\n\n### 👍 Noteworthy features\n\n* [Event-based data collection](https://docs.woeden.com/collection/auto_record)\n* [Rolling buffers/windows of data](https://docs.woeden.com/collection/rolling_buffer)\n* [Data streaming for visualization](https://docs.woeden.com/management/visualize)\n\n### 🙏 Asks\n\n* **Robotics developers:** [**try out our tool**](https://docs.woeden.com/getting_started)**!**\n* Share this post to robotics communities.\n* Connect us with robotics companies and researchers ([founders@woeden.com](mailto:founders@woeden.com)).",
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        "created_at": "2022-12-08T04:27:20.832Z"
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        "full_name": "Dominic Vitucci",
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    "jobs": [],
    "news": [
      {
        "title": "SPRX Series A",
        "url": "https://www.sprx.tax/post/announcing-our-series-a",
        "date": "Oct 11, 2024"
      }
    ],
    "launches": [
      {
        "id": 67903,
        "title": "💸 SPRX Technologies – Making R&D Credits simple, fast, and affordable.",
        "tagline": "TurboTax for the R&D Tax Credit",
        "body": "### **TL;DR**\n\n[SPRX](https://sprx.tax) is TurboTax for the R&D Tax Credit. With our technology, R&D Credits are simple, fast, and affordable.\n\nWant to see a demo? Schedule a call with us [here](https://calendly.com/sprx-team/sprx-initial-discussion)!\n\n### **❌ The problem**\n\nThe R&D Credit is often cited as the most complex and audited tax credit in the United States.\n\nWhen companies do decide to claim an R&D Credit, they often face analysis costs that can be greater than the credit itself!\n\n### **🧠 SPRX Solution**\n\n[SPRX](https://sprx.tax) automates the analysis. When using our software credits computed are:\n\n* Exactly what the government is asking for\n* Completed up to 80% faster than other providers\n* Cost, on average, 50% less\n\n### **⚙️ How does SPRX work?**\n\n[SPRX](https://sprx.tax) uses technology to break the R&D Credit analysis into three easy steps:\n\n1. Gather Data\n2. Review Predictions and Analysis\n3. File Your Credit!\n\n![uploaded image](/media/?type=post&id=67903&key=user_uploads/570353/2638dab5-2925-4647-a0b8-bcb5963841c6)\n\n### **🤝 Ask!**\n\nIf you want to learn more about how [SPRX](https://sprx.tax) can make your R&D Credit process simple, fast, and affordable you can:\n\n* Checkout our website at [sprx.tax](http://sprx.tax)\n* Schedule a [demo](https://calendly.com/sprx-team/sprx-initial-discussion)",
        "url": "https://www.ycombinator.com/launches/HfD-sprx-technologies-making-r-d-credits-simple-fast-and-affordable",
        "votes": 14,
        "created_at": "2022-12-14T22:30:31.359Z"
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    "id": 27950,
    "name": "Sherloq",
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    "website": "http://sherloqdata.io/",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Companies use Sherloq as their single source of truth for their SQL on top of their existing data stack.\r\n\r\nToday, data-driven organizations face the challenge of giving 2 of their data analysts the same task and getting 2 totally different results from their analysis. Although SQL is the #1 coding language for data analysis, it is still managed independently on each user's internal documentation tools (notepads, Slack channels, or docx files).\r\nCreating one source of truth is an ongoing difficult process, that’s done manually and takes time to implement. \r\n\r\nUsing our plugin on top of our user's existing query editors, companies can now manage their SQL code in one place.\r\nWe ourselves are data users and we've built Sherloq to fit the exact needs of data teams, becoming a true alternative to the way SQL is being managed today.",
    "one_liner": "One place for all your queries, directly on your SQL editor",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1674678598,
    "tags": [
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    "year_founded": 2022,
    "city": "Tel Aviv-Yafo",
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    "linkedin_url": "https://www.linkedin.com/company/sherloqdata/",
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      "name": "Nicolas Dessaigne",
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        "full_name": "Noy Twerski",
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      {
        "user_id": 1151605,
        "full_name": "Nadav Gutman",
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      {
        "id": 85978,
        "title": "⚡🔍 Sherloq - Collaborative SQL Repository for the GenAI Era",
        "tagline": "One place for all your queries, directly on your SQL editor.",
        "body": "![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/7c98d785-c103-402b-a746-f59818b533ce)\n\n# 🔍 **TL;DR**\n\n**Sherloq is the one place for all your queries, on top of your SQL editor.**\n\nUsing the SQL repository plugin, you can collaboratively organize, save, and share your SQL code, without leaving your editor and IDE.\n\nThat means you can actually focus on what matters most - analyzing the data and creating meaningful insights for your org.\n\n[Try it out yourself for free!](https://www.sherloqdata.io/?utm_source=yc&utm_medium=launch&utm_campaign=post)\n\nWatch our quick [demo:](https://www.youtube.com/watch?v=u2Rddj6Cekg)\n\n# 🔍 **The Problem**\n\nIf you use SQL, you probably know that we **spend too much time on managing, sharing and finding our code**, and that SQL is scattered between different tools, docs, dashboards, people and even notepads.\n\nYou might relate to one of these:\n\n* Trying to remember when was the last time you ran a SQL on some ‘users_v2’ legacy table, and who might know where it is.\n* Clone, update, commit, merge, push just to change the field from “revenue” to “revenue_new.\n* Asking the company-wide Slack channel if someone can send the most updated CASE WHEN condition we talked about in yesterday’s daily.\n* Going over 252 queries in the ‘All Queries’ Docs file with cmd+f: ‘prospect_id’.\n* Getting asked from the product / marketing team, for the 6th time that week, how to filter out all ‘cohort week 7’ users from the company dashboard.\n* Waiting 45 minutes just to retrieve the custom SQL from your Tableau Dashboard for that CTE you use.\n\n**Common alternatives today aren’t built for this type of code, making each person independently manage their day-to-day SQL work.**\n\nIn the GenAI Era, SQL is becoming even more popular as everyone inside the org can easily access and use it.\n\nCompanies are actually generating more and more data and SQL, and are looking for ways to democratize it and make data as self-served as possible.\n\n_The result of all of this?_ Spending too much time on creating inconsistent SQL, that leads to inconsistent data.\n\n### \n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/1d75b0a1-ddf6-4cd6-89d4-9e1f1c30b4cb)\n\n### 🔍 **Enter Sherloq**\n\nAs we ourselves were (and are still) heavy SQL users, we were looking to create a solution that gives us just the right amount of order we need.\n\n**Something that’s actually built for this type of code:**\n\n* **Hassle free:** More organized than a Notepad / Slack channel / Notion Page, but doesn’t require any process that’s an overkill like Github.\n* **Zero integration:** It sits on top of our SQL editor but doesn’t require any integrations or have access to the data itself.\n* **Collaborative**: It has a shared workspace but also has a place for our own personal work.\n* **Built for the entire org:** Can be used by people that love data and understand it, and by those that don’t.\n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/38198f2b-19af-4822-8189-3c2fbaee628c)\n\n# 🔍 **Using Sherloq you’ll be able to:**\n\n* 📁 Create a shared SQL repository for your org and team\n* 💻 Manage your code better with reusable SQL snippets and templates\n* 🕶️ Understand your code faster with AI SQL ERD diagrams, formatting, _(coming soon)_ SQL errors explained, and query optimization\n* 📝 AI auto-documentation including SQL version control, generated query names and descriptions\n\n# 🔍 **How it works**\n\n1. Download for free the [Chrome Extension](https://chromewebstore.google.com/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk?utm_source=yc&utm_medium=launch&utm_campaign=post) / [JetBrains Plugin](https://plugins.jetbrains.com/plugin/22201-sherloq--save-share--simplify-your-queries?utm_source=yc&utm_medium=launch&utm_campaign=post) (VSCode _coming soon_!)\n2. Save your SQL, create folders, and share them with your team\n3. Use for free until you reach the saved SQL limit\n\n**✨Together with our customers and users, we’ve just finished a complete product redesign! ✨**\n\n**We’ve added new capabilities and made it 10x faster and easier to use.**\n\n🥳 To celebrate, we’re giving our YC community a [15% discount, try it out.](https://www.sherloqdata.io/?utm_source=yc&utm_medium=launch&utm_campaign=post) \\\nWe’re freemium, so you only start paying after reaching the saved SQL limit :)\n\nWe’d really love to hear what you think, check it out for free and let us know!\n\n[hello@sherloqdata.io](mailto:hello@sherloqdata.io)\n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/d8598246-3821-4165-aab2-51d4d62610fc)\n\n",
        "url": "https://www.ycombinator.com/launches/MMk-sherloq-collaborative-sql-repository-for-the-genai-era",
        "votes": 117,
        "created_at": "2024-12-02T18:51:37.240Z"
      },
      {
        "id": 69960,
        "title": "⚡🔍 Sherloq: Collaborate and manage your SQL data with the power of Gen AI",
        "tagline": "One place for all your data team's SQL queries on top of your existing data stack",
        "body": "**TL;DR**\n\nSherloq is a collaborative SQL repository, like Github for data teams, that creates one source of truth for all company queries using Gen AI. With Sherloq, different data analysts are asked the same question and they always give the same answer.\n\n—\n\nHey everyone 👋 We’re [Alon (CTO)](https://www.linkedin.com/in/alon-greenfield/), [Noy (CEO)](https://www.linkedin.com/in/noy-twerski/) and [Nadav (COO).](https://www.linkedin.com/in/nadav-gutman-213637197/)\n\nWe’re happy to introduce Sherloq - the first collaborative SQL repository for data users.\n\n![uploaded image](/media/?type=post&id=69960&key=user_uploads/1123455/7976b4f2-b95d-4fbd-865a-c978601fe8cc)\n\n### 🔍 **Inconsistencies in data analysis destroy business value, and costs orgs more than $15M per year**\n\nWith the adoption of the modern data stack and while companies store endless amounts of data, data teams (analysts, scientists and engineers) spend 60% of their time trying to find, understand and manage their data. \n\n**Data analysis is still very subjective and dependent on the user creating it:**\n\n* Company business metrics are interpreted differently by each data user, and have various definitions \n* Structured data consist of hundreds of out-of-date fields with similar names, making it almost impossible to determine the most relevant fields for a particular analysis\n* Since SQL code is stored locally on each data user’s computer and isn’t reused, every data user writes code their own way regardless of company best practices\n\nThe rise of Gen AI changes the rules of the game, as now it enables us to take data explainability to a new level of clarity, a capability we only wish we had a few months back.\n\nAs we ourselves were data users in companies such as Microsoft, Walkme and 8200 the Cyber Intelligence Unit at the IDF, we’ve experienced this problem firsthand and waited for a proper solution for too long. \n\n### 🔍 **Enter Sherloq**\n\nSherloq is a collaborative SQL repository that creates one source of truth for all company queries. \n\nWe change the paradigm of how queries are stored and analyzed, with our new product capabilities and technology:\n\n1. **Zero integration and hassle free** - our add-on to any query editor, and our own SQL parser algorithm, extract the relevant queries automatically, so we know the data scheme, queries, users and usage in a click\n2. **Tailor-made data knowledge base per organization** - based on our fine tuned LLMs and by analyzing each company’s own data usage and costs, we automatically create a knowledge base within hours of download\n\nUsing Sherloq, organizations increase their data teams’ productivity by 2x and save 60% of their direct data management costs.\n\n![uploaded image](/media/?type=post&id=69960&key=user_uploads/1123455/cb7564dc-3337-4063-9f88-b8b0788e04c1)\n\n### **🔍 **[**Try**](https://chrome.google.com/webstore/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk)** our Google Chrome Extension**\n\nIf you’re tired of adding more and more tools to your data stack (like we were), our add-on sits on top of your **existing** query editor, so you don’t need to change anything in your current workflow. \n\n**After downloading, you’ll be able to:**\n\n* 🛫 Use auto-complete and co-pilot features on your own query editor\n* 🪄 Automatically generate descriptions and names for each query and table\n* 📁 Create SQL version control and shared folders\n* ⏱️ Based on our metadata analysis, you’ll get to know best practices for optimizing your queries and database\n\n### 🔍 **Don't waste another minute on unreliable data analysis**\n\n[Download](https://chrome.google.com/webstore/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk) Sherloq! We’re offering a 50% discount until Demo Day.\n\nWe’d love to hear your thoughts and feedback, so feel free to schedule [here](https://calendly.com/noy-twerski/30-minute-meeting) or reach out to us - [noy@sherloqdata.io](mailto:noy@sherloqdata.io)",
        "url": "https://www.ycombinator.com/launches/ICO-sherloq-collaborate-and-manage-your-sql-data-with-the-power-of-gen-ai",
        "votes": 136,
        "created_at": "2023-03-06T14:46:00.148Z"
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    "id": 27951,
    "name": "Honeydew",
    "slug": "honeydew",
    "former_names": [],
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    "website": "https://honeydew.ai",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow.\r\n\r\nUsing Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity.  ",
    "one_liner": "The home for shared data logic",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1670747027,
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      "B2B",
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      "Data Engineering"
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    "batch": "Winter 2023",
    "status": "Active",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/honeydew",
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    "year_founded": 2022,
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        "full_name": "David Krakov",
        "title": "Founder",
        "founder_bio": "My last 20 years are in and around data and software. At the first startup I founded, Varada (acq. by Starburst), we created an acceleration engine for data lakes - helping queries run faster on huge amounts of data. Before becoming a founder, I was an early employee at XtremIO (later EMC) - which became the market leader in all-flash-storage. Even before that, I was a computer science and physics nerd. Still am.\nI live in Tel Aviv with my wife and two kids.   ",
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        "full_name": "Baruch Oxman",
        "title": "Founder",
        "founder_bio": "I have been in software for over 20 years, leading technology and engineering, and building products around data. I was the first employee of Implisit, building AI for sales. After being acquired by Salesforce, I led the architecture and engineering of Einstein for Sales.\nMy passion is traveling, cycling and finding simple solutions for complex problems.\nI live in Tel Aviv, with my wife and 2 daughters.",
        "is_active": true,
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        "full_name": "Liron Slonimsky-Shemy",
        "title": "Founder",
        "founder_bio": "In my previous life, I worked as a script writer (and even won first prize for best drama feature), I pivoted and decided to \"produce\" my scripts in real life by opening a startup. At my first startup, Awear, we did \"Frequent-Flyer for fashion\" - We sold data to fashion companies showing how people are actually wearing their garments. \nCurrently living in Tel Aviv with my husband and our two kids - Orr and Eyal.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/liron-slonimsky-0aba3240/",
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      {
        "id": 70089,
        "title": "🍈 Honeydew  - one truth to rule them all",
        "tagline": "We help data teams achieve consistent metrics like Revenue or Churn",
        "body": "# TL;DR\n\n**We are a shared source of truth for data teams living** **in the data warehouse.**\n\nWhy is it that your “daily active users” never add up to the same number in different reports? Your data team is amazing, but it’s a struggle to keep all metrics synchronized. There is no single place that enables a shared workflow and truth.\n\nHave you ever seen a screw-up like:\n\n1. Presenting wrong numbers in an exec meeting 🤦‍♂️\n2. Not being able to understand how a KPI such as Daily Active Users, Churn or ARR was built 😡\n3. Spending all your time on preparing and transforming data instead of producing insights on top of it 😫\n4. Making a change to a KPI calculation and breaking the CEOs favorite dashboard 🙀\n\nWe fix this! [Honeydew](https://honeydew.ai/) helps the data team organize analytics into manageable blocks of knowledge supporting every data flow. Users can consume them in SQL, Tableau, Looker, Python, or dbt.\n\nOur product is being used by multiple early adopters - unicorn companies in cyber, insurance tech, and cloud ops.\n\nWe (Baruch, Liron and David) always want to talk, at [founders@honeydew.ai](mailto:founders@honeydew.ai); or just [grab a time](https://calendly.com/d/yjm-8jd-pwt/honeydew-20min-call) if you ever felt or feel the data mess pain.\n\n![uploaded image](/media/?type=post&id=70089&key=user_uploads/1136239/95e430f6-06cd-4df5-bc7c-46e840c95751)\n\n---\n\n# **Would you like to know more?**\n\n### 💡 How does it work?\n\nWe connect to Snowflake and act as a layer on top of it for different data tools.\n\n(_we don’t need to access your data, and yes - we are SOC2-compliant_)\n\nThen,\n\n1. Map the source data and relations (we can map it automatically for you 😎)\n2. Create reusable pieces of logic like what is a _User_, what is _Active_, what is _Daily_\n3. Create a workflow around it, that helps the team to control changes\n4. Connect any tool, it will use the same logic ✌️: Tableau, Looker, dbt, Python or SQL\n5. Under the hood: we’ll will build the needed data pipeline on the fly and then maintain it to reflect the current truth.\n\n<https://www.youtube.com/watch?v=gSfIU-FOfW4>\n\n---\n\n### 🏗️ Why did we build this?\n\nAll three of us encountered and solved this problem in our previous roles.\n\nLiron founded a company that turned fashion consumer behavior data into real-time (yes, the numbers always lie 🤥 ). Baruch built AI products on sales data in Salesforce (yes, the numbers lie even with AI 🤥 ). David founded a company that built data lake acceleration (we calculated everything right, the questions lied 🤥 ).\n\nSo far we talked with over 300 analytics teams. They were all busy trying to get consistent data their stakeholders can trust. The surprising thing is that there is a gap that nobody is filling at the moment - this gap was covered before BI like Looker, and even before with likes of SAP Business Object. We fill this gap.\n\n### 👩‍💻 Why do customers want to use Honeydew?\n\n* “I struggle to keep logic in Looker and in the warehouse the same. I want to build it once”\n* “I am building a new data team, and I don’t want to end up with another dbt spaghetti”\n* “We have every tool in the modern data stack, and yet our KPIs calculations end up being managed in a wiki, reimplemented in ETL and dashboards. This does not make any sense”\n\n### 🙏 Our ask\n\n* Does your company have a data team? We would love to talk to them!\n* Does your company plan to have a data team? We would love to talk to you!\n* Do you like to talk about data in general? We also do, any time 😀\n\n### 🍈 Our deal\n\n* Sign up before demo day, and we do all the onboarding for you, free of charge\n\nLove - team [Honeydew](https://honeydew.ai/)\n\nFind us at [founders@honeydew.ai](mailto:founders@honeydew.ai); or just [grab a time](https://calendly.com/d/zyr-qvr-dhv/honeydew-grab-a-time)",
        "url": "https://www.ycombinator.com/launches/IET-honeydew-one-truth-to-rule-them-all",
        "votes": 260,
        "created_at": "2023-03-09T14:22:45.602Z"
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    "id": 27958,
    "name": "Noya Software",
    "slug": "noya-software",
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    "website": "https://noya.io",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Noya is a new kind of product design tool for non-designers. This is our second time co-founding a design tools company – our first company was acquired by Airbnb in 2017 and we became the design tools team there.\r\n\r\nAt Airbnb, we built the design infrastructure that the entire company relied on to scale design without increasing headcount costs. We did this by letting non-designers (such as marketing, PMs, and engineering) design screens and websites.  Now we're making these tools available to every company.",
    "one_liner": "Product design tool that lets everyone design like a designer",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1674852593,
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/noya-software",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/noya-software",
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    "fb_url": "https://www.facebook.com/noyasoftware",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 134273,
        "full_name": "Devin Abbott",
        "title": "Founder",
        "founder_bio": "Currently building Noya, a new kind of product design tool that lets everyone design like a designer. Before Noya, Devin worked on the design tools team at Airbnb after they acquired his design tools startup. Devin also ran a developer training business, where he taught React workshops at top companies like Coinbase. Devin’s open source projects have over 15,000 stars on GitHub.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/devin-abbott/",
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 79579,
        "title": "Noya UI — 🪐 Universal component kit",
        "tagline": "Build websites faster with our beautiful, premade UI component kit",
        "body": "**tldr;** Noya UI is a collection of beautiful, premade UI components that you can drop into your own codebase as a starting point. Noya UI supports most common web frameworks and libraries like Tailwind, React, and Chakra UI.\n\n**Check it out:** [**https://noya.io/ui**](https://noya.io/ui)\n\n![uploaded image](/media/?type=post&id=79579&key=user_uploads/134273/d31c13b1-6821-4d23-9f2e-83b87189bbc1)\n\n### About Us\n\nHi everyone! My cofounder David and I were the Design Tools team at Airbnb, after they acquired our previous design tools company. We pioneered internal tools and processes that the award-winning Airbnb design team used when designing web and mobile apps.\n\nIn 2023 we started our second company together, Noya Software, and were part of the W23 batch. While building our AI-powered design tool, we put together a collection of high-quality “universal” components — components that work across many web frameworks. Based on feedback from customers, we’ve decided to release this component collection as a standalone product: Noya UI!\n\n### The problem\n\nWhen building websites or mobile apps, you have _some_ UI design needs but…\n\n1. You don’t have enough design work to justify a full-time designer on your project\n2. Designer contractors can be very unpredictable: they take a while to find and vet, the best ones are booked up for months, and even then there’s no guarantee you’ll get quality, timely designs\n3. Premade templates and component kits typically only work for specific frontend tech stacks, and often don’t have components that are relevant within your vertical, thus requiring you to make significant modifications\n\nAt the end of the day, for all the time and money you spend you can very easily wind up with a subpar design.\n\n![uploaded image](/media/?type=post&id=79579&key=user_uploads/134273/cf5327bc-fe6b-48bb-813e-49926fe66553)\n\n### Our solution: Noya UI\n\nNoya UI is a collection of beautiful, premade UI components that you can copy and paste into your own codebase and customize as a starting point for your website.\n\nCompared to existing component kits, Noya UI is:\n\n* **Tech stack agnostic:** We support a wide range of tech stacks and base component libraries: plain HTML + CSS, React, Vue, Tailwind, Chakra UI, MUI, Ant Design, Radix Themes (and if we’re missing what you use, get in touch and we’ll see if we can add it! e.g. Shadcn or Framer or Webflow)\n* **Multi-vertical:** We offer components focused on specific verticals like developer tools and fintech, which are often missing from other kits. Of course, we have all the common marketing/landing page components, too!\n\n### Our ask for you\n\n1. **We’d love for you to consider using **[**noya.io/ui**](https://noya.io/ui)** for your website! It’s a one-time purchase of $149 for lifetime access.**\n2. Share this post with founders, PMs, and engineers in your network who might be interested!\n\nFeel free to reach out to us anytime via [Discord](https://discord.com/invite/NPGAwyEBJw) or email: [founders@noyasoftware.com](mailto:founders@noyasoftware.com)",
        "url": "https://www.ycombinator.com/launches/KhX-noya-ui-universal-component-kit",
        "votes": 12,
        "created_at": "2024-03-21T16:53:07.977Z"
      },
      {
        "id": 69609,
        "title": "🧑‍💻 Noya - Draw wireframes, get designs & code",
        "tagline": "Design products faster by leveraging design systems!",
        "body": "tldr; Noya turns UI ideas into designs & code in just a few minutes. Built by former Airbnb Design Tools team members, Noya is a new kind of design tool that enables product teams of any size to fully leverage the advantages of design systems. Try it here: [noya.io](https://www.noya.io/?utm_source=launchyc&utm_medium=referral)\n\n![uploaded image](/media/?type=post&id=69609&key=user_uploads/134273/b3692215-185c-4f5b-8d6e-1adb98a118cb)\n\n### About us\n\nHi everyone! My cofounder David and I were the Design Tools team at Airbnb, after they acquired our previous design tools startup. We pioneered internal tools and processes that the award-winning Airbnb design team used when designing web and mobile apps.\n\nAt Airbnb’s scale, it made sense to have an in-house design tools team. But we realized that companies of all sizes could benefit from a better design process that’s tailored to their product, so we created a new tool that brings the benefits of an in-house design tools team to every company.\n\n### The Problem\n\nThere’s always a tricky tradeoff between working in _low-fidelity wireframes vs. high-fidelity mockups_ when working on a product idea. Working in low-fidelity allows for quick iteration while hammering out the big picture, but people often have a hard time imagining the final product. Because of this, teams frequently jump to high-fidelity and _stop using wireframes too early_, which slows down progress dramatically as they spend an excessive amount of time perfecting unimportant details.\n\nPersonally, there have been many times where I’ve needed to create a high-fidelity mockup or a React prototype to really explain my idea to another engineer. I spent hours designing and coding just to communicate the idea, only for it to be scrapped when we changed direction right after.\n\n![uploaded image](/media/?type=post&id=69609&key=user_uploads/134273/53841334-fad3-49f0-aa77-1e2aa2410055)\n\n### Our solution: Noya\n\nNoya is a new kind of design tool that provides the advantages of _both_ low-fidelity and high-fidelity design.\n\nWith Noya, you build your project with wireframes, while the tool automatically generates a high-fidelity output in real time. It works by mapping low-fidelity blocks into high-fidelity design system and React components. We currently support one open-source design system (Chakra UI), but plan to expand with more choices (MUI, etc), including the option to import your company’s existing design system.\n\nHere’s a quick demo video:\n\n<https://www.youtube.com/watch?v=khGAUUFZ5Fs>\n\n### Pricing\n\nOur Professional plan is $8.40/month (that’s 30% off!) if you subscribe before Demo Day, and includes:\n\n* Unlimited projects & blocks\n* 3,000 AI-generations/month\n* Access to premium templates\n* React code export\n* Premium support\n\nWe also offer an enterprise plan for companies that want to import their existing design system. If you’re looking to improve your company’s design process and you have a React component library, get in touch: [founders@noyasoftware.com](mailto:founders@noyasoftware.com)\n\n### Our ask\n\n1. We’d love for you to try using [noya.io](https://www.noya.io/?utm_source=launchyc&utm_medium=referral) to design your next idea!\n2. Share this post with founders, designers, PMs, and engineers in your network who might be interested!\n3. Follow us on twitter for updates: <https://twitter.com/noyasoftware>\n\nFeel free to reach out to us anytime via the [Noya Discord](https://discord.com/invite/NPGAwyEBJw) or email: [founders@noyasoftware.com](mailto:founders@noyasoftware.com)",
        "url": "https://www.ycombinator.com/launches/I6j-noya-draw-wireframes-get-designs-code",
        "votes": 56,
        "created_at": "2023-02-23T18:23:33.032Z"
      }
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    "id": 27961,
    "name": "Hona",
    "slug": "hona",
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      "Hona (formerly Milestones)",
      "Hona 🚀"
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    "website": "https://hona.com",
    "all_locations": "Orem, UT, USA",
    "long_description": "Hona is a legal technology company transforming the personal injury law space. Hona's platform helps PI firms strengthen client engagement through real-time case status tracking, AI-powered communication tools, and intelligent medical management — driving better outcomes for firms and the clients they serve.\r\n\r\nIn addition to status updates, Hona allows clients to upload documents, securely message their legal team, and share feedback—all in one place. Hona integrates seamlessly with the law firm's existing case management systems, making it easy to implement without disrupting day-to-day operations.\r\n\r\nHona's long-term vision is to transform client communication across the legal industry by making clarity and transparency the standard. ",
    "one_liner": "Personal Injury Legal Work - Automated",
    "team_size": 32,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1669140082,
    "tags": [
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      "B2B"
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    "nonprofit": false,
    "batch": "Winter 2023",
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      "America / Canada",
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    "stage": "Growth",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/hona",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/hona.json",
    "year_founded": 2021,
    "city": "Orem",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/honasoftware",
    "x_url": "https://twitter.com/honasoftware",
    "fb_url": "https://www.facebook.com/honasoftware",
    "cb_url": "https://www.crunchbase.com/organization/milestones",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca3c9f60cb1b588e41fbba65990acd0b8578f152.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "user_id": 916596,
        "full_name": "Josh Christensen",
        "title": "Founder",
        "founder_bio": "While studying Mechanical Engineering at BYU, I started an e-commerce sandal company called J-Slips Hawaii which I scaled to $1M+ in revenue in 2 years. I turned it over to my family to run so I could pursue a career in tech. I taught myself how to code and became a software engineer working at extremely fast growing tech companies, first Qualtrics and then Route, before co-founding Hona.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshua-n-christensen/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20eea752d2bc99dde6693b01de1257953352abe5.jpg"
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      {
        "user_id": 916383,
        "full_name": "Matt McClellan",
        "title": "Founder",
        "founder_bio": "Matt McClellan is the founder of Hona, a legal technology company transforming the personal injury law space. Hona's platform helps PI firms strengthen client engagement through real-time case status tracking, AI-powered communication tools, and intelligent medical management — driving better outcomes for firms and the clients they serve.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/matthew-mcclellan22/",
        "x_url": "https://mobile.twitter.com/honamatt",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93261af61eeeb7b49890018c324323b187e6afa1.jpg"
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    "jobs": [],
    "news": [
      {
        "title": "YC-backed Hona looks to reduce the communication friction between law firms and their consumer clients | TechCrunch",
        "url": "https://techcrunch.com/2024/06/17/yc-backed-hona-looks-to-reduce-the-communication-friction-between-law-firms-and-their-consumer-clients/",
        "date": "Jun 17, 2024"
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    ],
    "launches": [
      {
        "id": 67468,
        "title": "Milestones - Keep clients in the know.",
        "tagline": "🌉 The bridge between a business's CRM and their clients",
        "body": "We’re Milestones, and we’re building the bridge between businesses CRM and their clients. \n\nIn 2018, Co-Founder, Manny’s wife, was in a car accident on her way to work. The injuries she suffered put her out of work for a few weeks and caused emotional trauma, so she decided to hire a lawyer to get her compensation. During the course of her legal case, she never felt like she was kept in the loop. She didn’t understand the process and always wanted more information.\n\nWhen a client wants more info should they always have to reach out? Do you text Amazon to ask them where your package is at? No! We believe you shouldn’t have to text a business to see where your project is at either.\n\n### **❌ A Two-Sided Problem**\n\n* **Clients:** In today's day and age it's typical to have all the information we want at our fingertips. Clients get frustrated because they want to know what is being worked on and what comes next.\n* **Businesses:** Businesses are often much too busy to keep clients updated with every phase of their project. Businesses often store a wealth of information in their software, but that information is never communicated/available to clients.\n\n### **🧪 Solution**\n\nThink about your interactions with various businesses:\n\n* Insurance claims\n* Taxes\n* Getting a loan\n* Building a house\n* Legal cases\n* Oil changes\n* Solar Installations\n* etc.\n\nHow much better would it be if there was a _Domino's Pizza Tracker-esque_ interface for each one?\n\n* Milestones connects directly with a business’s CRM to automate updates and stream information back and forth. Notifications are sent to clients via text message, so that a client has easy access to the information. Clients enter the milestones application through a link in the text message. Clients and businesses can communicate back and forth through the Milestones application.\n\n  ![uploaded image](/media/?type=post&id=67468&key=user_uploads/916405/aafd64e0-bdb2-4d9d-8b05-5eb245efdf5a)\n\n\n### **⚙️ How it works**\n\n* Using API’s, a business can set up which information they want to be pushed back and forth to clients. That information includes:\n  * Status Updates\n  * Documents\n  * Educational information\n  * Calendared Events\n  * Team Information\n  * Etc.\n* Clients use SMS and the Milestones app to interact with the business.\n\n \n\n### **🙏 How to help:**\n\n1. Share this post!\n2. Follow us on [LinkedIn](https://www.linkedin.com/company/milestonesapp/) & [Twitter](https://mobile.twitter.com/getmilestones).\n3. If you know a business that could use our tool, let them know about us!",
        "url": "https://www.ycombinator.com/launches/HYC-milestones-keep-clients-in-the-know",
        "votes": 63,
        "created_at": "2022-11-22T17:51:45.991Z"
      }
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    "id": 27965,
    "name": "Odigos Technologies Inc.",
    "slug": "odigos-technologies-inc",
    "former_names": [
      "keyval",
      "Odigos"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6519c1c9ffc92217f36449c3d731f02ef19aedb2.png",
    "website": "https://odigos.io",
    "all_locations": "Boston, MA, USA",
    "long_description": "Odigos leverages eBPF technology to create an open-source solution that can automatically generate distributed traces for any application without any engineering work.\r\nDevelopers are struggling with extracting and delivering high-quality monitoring data.\r\nCurrently, building a pipeline is a manual process that takes months to implement, is an error-prone process that requires tons of code changes across multiple R&D teams, and demands collaboration.\r\n\r\n",
    "one_liner": "Enterprise-Grade OpenTelemetry",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1671024247,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/odigos-technologies-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/odigos-technologies-inc.json",
    "year_founded": 2023,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/odigoss/",
    "x_url": "https://mobile.twitter.com/odigosio",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/odigos-io/odigos",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6519c1c9ffc92217f36449c3d731f02ef19aedb2.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1155692,
        "full_name": "Ari Recht",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arirecht/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2395403e388818bc50cc8a6c553d51613d53e97d.jpg"
      },
      {
        "user_id": 171492,
        "full_name": "Eden Federman",
        "title": "Founder",
        "founder_bio": "I love eBPF and OpenTelemetry. Working on helping developers fix issues faster.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edenfed/",
        "x_url": "https://twitter.com/edenfed",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3aab8057608e94e9958ef42f40a04311bee1c2e0.jpg"
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    "launches": [
      {
        "id": 67880,
        "title": "🔍 Keyval - Distributed traces for every application without code changes",
        "tagline": "We help developers fix production issues faster",
        "body": "Hi YC!\n\nWe're Ari and Eden, the founders of [Keyval](https://keyval.dev/).\\\nOdigos, our open-source project, boosts your existing monitoring tools by automatically generating distributed traces for all your applications within minutes.\n\n![uploaded image](/media/?type=post&id=67880&key=user_uploads/171492/8220e796-3f4d-456f-9040-8e69c20591f0)\n\nCheck out our [video](https://www.youtube.com/watch?v=9d36AmVtuGU)\n\n### **The Problem**\n\nDistributed traces are the most effective signal to monitor distributed applications, but they are also the most difficult to implement.  Unlike metrics or logs, the real value of distributed tracing occurs only after implementing it across multiple applications successfully.  If just one of your applications does not produce distributed tracing, the entire context propagation is broken and the value of the traces drops significantly.\n\n### **The Solution**\n\nOdigos, our open-source project, helps developers fix production issues faster by boosting existing monitoring tools, and automatically providing them with distributed traces, within minutes.\n\nA quick installation scans and recognizes all your applications, auto-instruments them, and deploys the required collectors. This is all done automatically - all you need to do is:\n\n1. Select your target applications\n2. Select a backend you want to send the information to\n\nThat’s it!\n\n### **Why developers choose to work with Odigos:**\n\n✨ **Immediately and automatically** get distributed traces for newly-deployed application\\\n🏆 **Eliminate blind spots**! Gain confidence and understand what is (and what isn’t) covered by your existing monitoring tools\\\n🚀 **Ease of use** – one-step installation completed within minutes\\\n**⚖️ Auto-scaled collectors/agents** - deployed and scaled according to the amount of traffic generated by your applications\n\n### **Try it yourself**\n\nCheck out our [GitHub repository](https://github.com/keyval-dev/odigos), and our [getting started guide](https://odigos.io/docs/getting-started/).\n\nWe are also maintainers of OpenTelemetry auto-instrumentation for Go applications. Feel free to contact us at [founders@keyval.dev](mailto:founders@keyval.dev) with any questions regarding monitoring / eBPF / OpenTelemetry.\n\nWe’d love to invite you to our office in San Francisco for lunch and a demo, book a time with us [here](https://calendly.com/edenfed) 😃",
        "url": "https://www.ycombinator.com/launches/Heq-keyval-distributed-traces-for-every-application-without-code-changes",
        "votes": 84,
        "created_at": "2022-12-14T14:44:22.319Z"
      }
    ]
  },
  {
    "id": 27967,
    "name": "Echo",
    "slug": "echo",
    "former_names": [
      "Tailorr"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6dfed4b4cf59bce811964c28ffcffc1f374e33f.png",
    "website": "https://www.echothat.ai/",
    "all_locations": "Haifa, Haifa District, Israel",
    "long_description": "Echo helps B2B founders know exactly what to say during a sales call to win the business, including how to respond to any objections that come up. We do this by generating a personalized sales playbook based on best practices and providing an intuitive interface for following its guidelines in real time.",
    "one_liner": "Founder-led sales co-pilot for B2B startups.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1673554717,
    "tags": [
      "Generative AI",
      "B2B",
      "Sales"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Israel",
      "Middle East and North Africa"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/echo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/echo.json",
    "year_founded": 2022,
    "city": "Haifa",
    "country": "IL",
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        "full_name": "Tal Feld",
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        "founder_bio": "Hi, I'm Tal 👋  I've always been curious about how everything works, and passionate about building things.",
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        "full_name": "Noam Hertz",
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        "founder_bio": "Co-founder and CTO at Echo, helping B2B startups streamline sales with AI-driven tools and structured playbooks. Passionate about building solutions that make a difference.",
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      {
        "id": 83680,
        "title": "Echo - Founder-led sales co-pilot for B2B startups",
        "tagline": "We’re like a sales coach, but automated, and at a fraction of the cost. ",
        "body": "**tl;dr**: [Echo](https://www.echothat.ai/) helps B2B founders excel at sales calls by building and consistently executing their sales playbooks. We use a fine-tuned language model to automate the process founders undergo with sales coaches, assisting them in adopting and maintaining best practices. [If you need help with this, let's talk.](https://usemotion.com/meet/tal-feld/intro)\n\n—\n\nHey everyone, we’re [Tal](https://linkedin.com/in/tal-feld), [Noam](https://linkedin.com/in/noam-hertz), and [Ido](https://linkedin.com/in/ido-fish-62577b102). We've been friends for over 15 years, built products together for the past four years, and are on a mission to help B2B founders get better at sales.\n\n![uploaded image](/media/?type=post&id=83680&key=user_uploads/834401/08186ad5-8ddc-4cb7-a08e-b8370a4a969a)\n\n# **How we got here**\n\nOver the past two years, we've conducted hundreds of B2B discovery and sales calls. After repeatedly failing to qualify prospects and close paying customers, we realized we had to change our approach to sales. We read sales books, listened to podcasts, and consulted with sales coaches. What ultimately worked for us was the sales coaches' playbooks for each step in the sales process, and it worked like a charm. We finally had a structured process and knew what to say at each point. We started quickly disqualifying prospects and, most importantly, started closing paid customers repeatedly. Going through this process ourselves made us realize it could and should be automated without paying a sales coach $2-3k/hour. So that's what we're doing.\n\n# **The Problem: Founder-led sales are unstructured**\n\nFounders often conduct sales calls without a clear plan and fail to follow best practices, resulting in missed opportunities. In particular, they fail to:\n\n* Qualify prospects and eliminate window shoppers.\n* Convince prospects to give their product a chance.\n* Prove they can deliver value in a short period.\n* Monetize their value and grow their revenue.\n* Determine why a deal was won or lost.\n\n![uploaded image](/media/?type=post&id=83680&key=user_uploads/834401/712831f0-0419-4d9b-9307-b575a163a532)\n\nThis means an unclear path for improvement and a lack of understanding of what needs to change to increase revenue consistently.\n\nFounders who attempt to resolve this issue by delegating to a salesperson spend significant money and time only to realize that this approach does not work.\n\n# **The Solution: Personalized playbooks with a close feedback loop**\n\nEcho helps early-stage startups improve qualification, shorten sale cycles, and increase close rates in a repeatable way by building and consistently executing their sales playbooks.\n\nEach playbook is a guide that covers questions to ask, information to share, and decisions to make during each discovery, demo, POC scoping, and closing call.\n\n**How it works**\n\nEcho will coach you similarly to how human sales coaches work with clients but in an automated way.\n\n1. You fill in a brief about your company.\n2. Echo will generate a custom playbook for each step.\n3. You record your calls and share them with us.\n4. Echo will generate feedback on execution and how to improve.\n5. Playbooks are updated based on new insights from your calls.\n\n# **Ask**\n\n* Share and upvote this post. It would help us a lot.\n* If you are a founder at a B2B startup looking to improve your sales, [book an intro call](https://usemotion.com/meet/tal-feld/intro).\n* If you have worked with a sales coach and are willing to share your experience, we would love to [chat with you](https://usemotion.com/meet/tal-feld/short-chat).\n* If you hear other founders complain about their sales, please direct them to our [website](https://www.echothat.ai/) or introduce us at [tal@echothat.ai](mailto:tal@echothat.ai).",
        "url": "https://www.ycombinator.com/launches/Llg-echo-founder-led-sales-co-pilot-for-b2b-startups",
        "votes": 76,
        "created_at": "2024-09-02T18:32:45.040Z"
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        "body": "Hey everyone, we’re Micah and Jackson, and we’re building Arroyo. Arroyo is the easiest way to build powerful streaming ⚡️ data pipelines. Just connect your Kafka, then you can filter, aggregate, window, and join your event data in real time with sub-second results. We fully manage the infrastructure, autoscale with your data, and charge based on usage with no fixed costs.\n\n![uploaded image](/media/?type=post&id=69175&key=user_uploads/61370/f468f5b0-8088-4982-abd8-a45e143f02a8)\n\n## **💥 The problem: real-time data processing is too hard.**\n\nMany companies have adopted Kafka to collect and route their event data. But if they want to actually _do_ anything complex with that data, their options today are to use a complex solution like Flink or dump it in a data warehouse for batch processing.\n\n## **⚡️ The solution**\n\nAfter leading streaming teams at Lyft and Splunk, we’ve seen how critical real-time data can be. At Lyft this infrastructure was vital to the operation of the product, powering features like dynamic pricing, ETAs, safety, and fraud. We’re working to bring it to everyone by solving the hard infrastructure and UX problems of existing solutions.\n\nIt’s three steps to get started writing real-time queries:\n\n1. Tell us how to connect and authenticate against your Kafka cluster\n2. Configure the source and sink topics\n3. Write SQL\n\nFrom there, our system will compile your query into an efficient dataflow program that responds to events within milliseconds and pushes results to Kafka. We charge purely on usage (based on data in, query complexity, and window sizes) with no minimums. Our system automatically scales with your data volume, and there’s no need to manage clusters or provision fixed infrastructure.\n\n![uploaded image](/media/?type=post&id=69175&key=user_uploads/61370/8789103e-9032-4cf3-bc1e-3f9bcf03a026)\n\n## **What can you use this for?**\n\n* Compute real-time ML features\n* Detect fraud and abuse as it happens\n* Turn your daily analytics jobs into real-time queries\n* Filter/redact/aggregate your logs before indexing, or turn them into metrics\n* Reduce costs in your data warehouse by pre-aggregating before ingestion\n\n## **The backstory**\n\nMicah spent four years at Lyft and Splunk building streaming platforms on top of Apache Flink and Kubernetes. Teams shipped impactful features backed by that infrastructure, but it still wasn’t easy enough for non-experts to adopt. Users wanted the same UX they had for batch: just write SQL, don’t worry about operations, scale, or the nuances of the infra. But the underlying tech wasn’t good enough.\n\nWe started Arroyo because we believe this goal is now achievable, but it requires looking beyond existing technology like Flink. That’s why we’re building a new, cloud-native stream processing engine in Rust. We’ve designed it from the ground up for near-instant rescaling and recovery even with very large windows (something that can take hours with Flink!) by separating storage and compute. And by leveraging WASM for user-defined functions, we can run user code efficiently and securely.\n\n## **Get in touch!**\n\nIf you use a stream processing system like Flink or Spark Streaming, or would like to make use of your event data in Kafka, we’d love to talk! We’re excited help you solve your real-time data problems or turn an existing batch workflow into a streaming pipeline. Reach us at [founders@arroyo.systems](mailto:founders@arroyo.systems).",
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        "full_name": "Charly Poly",
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        "full_name": "Bryan Frimin",
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        "founder_bio": "CTO & Co-founder of Probo. French engineer building an open-source AI platform that simplifies SOC2/ISO27001 compliance.",
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        "title": "Launch HN: Defer (YC W23) Zero-infrastructure background jobs for Node.js",
        "url": "https://news.ycombinator.com/item?id=35096366",
        "date": "Mar 10, 2023"
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    "launches": [
      {
        "id": 69350,
        "title": "Defer: A zero-infrastructure platform for Node.js background jobs",
        "tagline": "Quickly move slow code outside your user’s journey and scale with confidence using Defer’s real-time dashboard and autoscaled infrastructure.",
        "body": "Hi everyone! We are Charly and Bryan, and we’re happy to present you [Defer](https://www.defer.run/):\n\n![uploaded image](/media/?type=post&id=69350&key=user_uploads/1143800/14e200b6-6899-4313-9030-29ddc708dc4b)\n\nDefer allows developers to quickly create and run background jobs without infrastructure.\n\nBackground jobs are vital in building responsive and resilient web apps by moving slow code outside the users’ journey (ex: pulling and sending data to external APIs, sending emails).\n\n## Why are we building Defer?\n\nBryan and I have been working for 10 years in startups of many stages (pre-seed to Algolia or Dashlane stages).\n\nIn all those experiences, part of our work included crafting similar background jobs solutions and their internal dashboards, as Charly did at Algolia for the Shopify Integration Pipeline.\n\nWe identified a gap between current solutions and actual product needs that leads to **a repeated waste of engineering time** (initial cost, support, and maintenance) and **bad user experiences** across all companies.\n\nAs consultants, we also faced companies that **preferred to keep degraded user experiences** to not invest in R&D in background jobs.\n\nAll those combined experiences led us to create Defer to help companies match **modern product criteria** (great user-perceived performance and an increasing number of integration with external APIs) with **minimum effort** while keeping the **developer experience at heart**.\n\n## Our solution\n\nDefer enables developers to use a background jobs solution that matches their product needs without reinventing the wheel or building fragile layers.\n\nDefer brings a **unique developer experience** that makes it easy to create or transform existing functions into background functions (function version of a background job) **without the usual distracting boilerplate code** that current OSS solutions bring:\n\n![uploaded image](/media/?type=post&id=69350&key=user_uploads/1143800/8f9ece4b-ff95-4171-a3bc-e0cc82e73609)\n\nDefer’s infrastructure then **handles background function executions** with the configured parallelism and retries, **without infrastructure work or DevOps knowledge**.\n\nThe Defer Dashboard allows developers to manage applications with multiple environments and **get a sense of their product’s health** with **analytics and filters-rich executions list** view:\n\n![uploaded image](/media/?type=post&id=69350&key=user_uploads/1143800/0024a5c8-a2d6-4c80-a7fc-57f8f26fb4c4)\n\nFinally, developers get **notified on Slack upon failure** and can quickly access the execution’s logs and business metadata to **narrow down the issue and keep users in the loop**.\n\n## Focus on your product.\n\nGet started with Defer in a few minutes without refactoring or configuration, and start building delightful user experiences:\n\n* Defer comes with a [**free Hobby plan for developers** and small projects](https://app.defer.run/sign-up) 🚀\n* **As a YC company** (current batch and alumni) [benefit from a generous YC Deal](https://bookface.ycombinator.com/deals/1652) 💰\n* Defer is full-featured: you will find many examples [in our documentation](https://docs.defer.run/) 📖\n* Want to talk about your use case? [Let’s brainstorm together!](https://calendar.app.google/La5TPwFtvJhqwq7w6) 🧠",
        "url": "https://www.ycombinator.com/launches/I2Y-defer-a-zero-infrastructure-platform-for-node-js-background-jobs",
        "votes": 155,
        "created_at": "2023-02-16T14:56:47.173Z"
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    "id": 27974,
    "name": "Fastgen",
    "slug": "fastgen",
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    "all_locations": "New York City, NY, USA; Berlin, Berlin, Germany",
    "long_description": "Fastgen is a low-code API and workflow builder with an integrated Postgres DB. Our drag-and-drop platform allows you to rapidly develop custom APIs and workflows with ease. Our integrated Postgres DB makes it even easier to create, read, update, and delete data in your applications. ",
    "one_liner": "Webflow for the Backend",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1678803822,
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        "full_name": "Mike Mahlkow",
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        "founder_bio": "Co-Founder and CEO at Fastgen (W23). Previously CEO at Blair (S19) where we raised +100M to offer income-based financing options to students.  Before that learned how great teams operate at Stripe and Uber. ",
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        "full_name": "David Nordhausen",
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        "founder_bio": "Co-Founder at Fastgen (W23). Previously built Blair (S19). Reach out if you're interested in using us david@fastgen.com",
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        "linkedin_url": "https://www.linkedin.com/in/david-nordhausen/",
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        "full_name": "Constantin Schreiber",
        "title": "Founder",
        "founder_bio": "Dropped out of college to build Blair (YC S19) where we raised a +100M to build income-based financing solutions for students in the US. At Blair, I led the engineering team to build audit-proof software that moved millions of dollars in student funds on a weekly basis. Two fun facts about me: I built autonomous drones for Porsche and was mining crypto to pay for college (and other things). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/constantinschreiber/",
        "x_url": "https://twitter.com/constantinschr",
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      {
        "id": 70265,
        "title": "Fastgen - Low-Code API and workflow builder",
        "tagline": "Fastgen is a low-code API and workflow builder with an integrated Postgres DB.",
        "body": "### **☕️TL;DR**\n\n**Fastgen is a low-code API and workflow builder with an integrated Postgres DB.**\n\n**Our current customers use Fastgen to build backends for MVPs or internal tools and automate repetitive workflows for GTM, operations, or marketing teams.**\n\n![uploaded image](/media/?type=post&id=70265&key=user_uploads/334116/9b34df33-c911-4794-a329-8a7569e52502)\n\n### **Origin Story**\n\nThis is our second YC company. With Blair (YC S19), we raised more than $100M to help students get access to education in the US. One of our constant questions was how we could move even faster. We are building Fastgen to answer that question and are building a tool we wish we had during our time at Blair.\n\n## **What is Fastgen**\n\n### **REST APIs**\n\nFastgen's API Builder enables you to quickly create any REST API by using an intuitive drag-and-drop interface. Our platform also includes pre-built integrations to popular tools such as Sendgrid, Slack, and Twilio and the ability to connect to any external API you need for data exchange. We launch new integrations every week to make our users’ lives even easier. Instead of spending hours integrating third-party APIs and dealing with hosting, you can drag and drop the action into an API flow and deploy it with the click of a button. \n\n![uploaded image](/media/?type=post&id=70265&key=user_uploads/334116/9975f322-3ebe-4ca1-806f-520196fcc9af)\n\n### **Workflows**\n\nWith Fastgen, you can create time-based workflows that trigger at regular intervals and event-based workflows through the same user interface as the API builder. One of the standout features of Fastgen is the flexibility to define any action in a workflow or API as a custom event, which can then be utilized as a trigger for a separate workflow. \n\n### **Database**\n\nFastgen's integrated Postgres DB simplifies creating, reading, updating, and deleting data within your applications. You can easily build and manage your database alongside your APIs and workflows, all within one platform. If you have your own Postgres DB and don't want to use our hosted solution, Fastgen seamlessly connects to your database so you can take advantage of our platform's other features without changing your database setup.\n\n![uploaded image](/media/?type=post&id=70265&key=user_uploads/334116/f889316f-2fbe-485f-b7f5-b88e7fcec9d2)\n\n**Our ask:**\n\n* If you want to be part of our private beta, sign up on [fastgen.com](http://fastgen.com)\n* Mention that you saw us on Launch YC for prioritized onboarding",
        "url": "https://www.ycombinator.com/launches/IHJ-fastgen-low-code-api-and-workflow-builder",
        "votes": 394,
        "created_at": "2023-03-14T14:58:17.048Z"
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    "id": 27982,
    "name": "Clueso",
    "slug": "clueso",
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    "website": "https://clueso.io",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Clueso is the fastest and easiest way for companies to generate high-quality instructional videos and documentation, ideal for customer education/onboarding and employee training. Our AI transforms simple screen-recordings into studio-quality videos and step-by-step documentation in minutes.",
    "one_liner": "Create beautiful videos & docs for any product or process in minutes",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677925658,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B",
      "Customer Success",
      "Enterprise"
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    "batch": "Winter 2023",
    "status": "Active",
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      "Engineering, Product and Design"
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    "regions": [
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      "South Asia"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/clueso",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/clueso.json",
    "year_founded": 2023,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/clueso",
    "x_url": "https://twitter.com/_Clueso",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1159730,
        "full_name": "Akash Anand",
        "title": "Founder",
        "founder_bio": "Co-founder & CEO at Clueso. \nAI to automate video creation for marketing, support, sales, and training teams. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/theakashanand/",
        "x_url": "https://twitter.com/realAkashAnand",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7153577a8363c9b34d410626830c013aa88ddbb.jpg"
      },
      {
        "user_id": 1156693,
        "full_name": "Neel Balar",
        "title": "Founder",
        "founder_bio": "I'm Neel, CBO at Clueso. Prior to Clueso, I built and scaled a consumer note-taking app to 20K+ users while in college. I studied Engineering Design and Data Science at IIT Madras. I previously led Asia's most advanced student Hyperloop team, where we raised $1.1M from the Indian govt. I also represented India at the SpaceX Hyperloop Pod Competition organized by Elon Musk. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neelbalar7/",
        "x_url": "https://twitter.com/BalarNeel",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c208d0c8a14f7da8da25a572bf83947c740cc12a.jpg"
      },
      {
        "user_id": 1156437,
        "full_name": "Prajwal Prakash",
        "title": "Founder",
        "founder_bio": "I'm Prajwal, co-founder at CTO at Clueso. I'm a Bangalorean and a recent (2022) CS grad from IIT Madras where I graduated top of my batch. I've always loved building products (previously made Desklamp, a consumer notetaking app) and working with nascent technologies (interned at Adobe AI, co-founded a quantum machine learning group in college). When I'm not thinking about tech, I write stand up sets.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prajwalprakash2000/",
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    "news": [
      {
        "title": "Business video automation startup Clueso raises $10M to kill off manual production processes",
        "url": "https://siliconangle.com/2026/10/13/business-video-automation-startup-clueso-raises-10m-to-kill-off-manual-production-processes/",
        "date": "Oct 13, 2026"
      },
      {
        "title": "Announcing our $1.4M seed funding | Clueso",
        "url": "https://www.clueso.io/blog-posts/announcing-our-seed-funding",
        "date": "Apr 23, 2024"
      }
    ],
    "launches": [
      {
        "id": 106963,
        "title": "Clueso Agents: Ship product videos automatically, whenever you ship features.",
        "tagline": "Launch videos, product demos, help tutorials, and more - all created automatically with every release.",
        "body": "Every new feature needs a launch video, help tutorial, sales demo, and more such content.\n\nClueso Agents automate the entire video production pipeline. From generating screen recordings of your product to voiceovers, motion graphics, and visuals that match your brand style.\n\nWith Clueso Agents, your content team can ship as fast as your engineering team does.\n\n[**https://youtu.be/2rio5VoUUV8**](https://youtu.be/2rio5VoUUV8)\n\n**🔴 The Problem**\n\nVideos are the best way to communicate your product’s value.\n\nBut they’re still created manually. For every new feature, your content team has to figure out what’s new, screen record the product, and edit the video with motion graphics and animations.\n\nThe result is a permanent backlog. By the time content is ready, the product has already moved on.\n\nTools like Loom and Screen Studio help you move faster, but only by compromising on quality.\n\n**🟢 The Solution**\n\nInstead of manually producing every video, let Clueso Agents ([**clueso.io/agents**](http://clueso.io/agents)) handle the entire production pipeline.\n\nHere's how it works:\n\n1. **Connect your product:** Give Clueso login credentials to your product or connect with GitHub, and provide one reference video that represents your brand style.\n2. **Every release becomes a trigger:** Clueso understands what changed and creates production plans for new features. It can also identify outdated videos in your existing library.\n3. **Our agent screen-records your product:** It logs into your product, navigates through the workflows, and captures polished screen recordings of the features you want to show. Fully autonomously.\n4. **AI handles the entire edit:** Along with the recordings, Clueso generates the voiceover, beautiful motion graphics, zooms and visual effects, captions, music, and applies your brand style.\n\nYou can also build workflows in Claude with the Clueso MCP, so video creation becomes just another step in your existing automations.\n\n**Why we're building this**\n\nOver the last two years, we built an AI video editor for product videos. Along the way, after working with 1,000+ SaaS companies, we realized editing wasn’t the only bottleneck.\n\nThe hard part was understanding what changed in the product, figuring out what to show in the demo, recording it cleanly, and keeping an entire video library up to date as the product evolved.\n\nWe’ve now replaced our recording extension with a browser agent that captures the recordings for you.\n\nOne customer recently rolled out a complete UI redesign that left nearly 700 videos out of date. With Clueso Agents, they refreshed the entire library in days instead of months.\n\nTo learn more and get started for free, book a demo with us at clueso.io/agents.\n\nWe can’t wait to show you agents in action!",
        "url": "https://www.ycombinator.com/launches/RpD-clueso-agents-ship-product-videos-automatically-whenever-you-ship-features",
        "votes": 15,
        "created_at": "2026-07-22T17:57:25.874Z"
      },
      {
        "id": 95851,
        "title": "Clueso: Product Videos in Minutes with AI",
        "tagline": "Your product ships fast. Your videos should too.",
        "body": "Hey all, we’re [Akash](https://www.linkedin.com/in/theakashanand/), [Prajwal](https://www.linkedin.com/in/prajwalprakash2000/), and [Neel](https://www.linkedin.com/in/neelbalar7/) from Clueso!\n\n**TL;DR:** Introducing Clueso – AI that turns any rough screen recording, document, or slide deck into a stunning video in minutes.\n\nhttps://youtu.be/OlOVMA06tpA\n\n## 🔴 The Problem\n\nOrganizations today need to produce more videos than ever, for a variety of use cases:\n\n* product demos\n* marketing and feature launches\n* customer onboarding\n* internal training\n* sales enablement\n* product, process, and workflow training\n\n… and so much more.\n\nBut creating these videos is time-consuming and requires specialized skills. And despite all the effort, engagement is usually low.\n\n## 🟢 The Solution\n\nClueso solves this. Our AI turns any rough screen recording, document, or slide deck into a stunning video in minutes.\n\nNo design skills required.\n\n![uploaded image](/media/?type=post&id=95851&key=user_uploads/1159730/9a6519b7-57f7-498c-ba0d-ab1ea1a07e1d)\n\nClueso can **write** your video’s script, add a studio-quality **voiceover**, and auto-generate visual **effects**, transitions, branding, and captions – all while giving you full editing control.\n\nIt can even **translate** your videos into 50+ languages with one click.\n\nWith this launch, we’re also introducing a suite of AI-first tools to **automate** the most time-consuming parts of the video editing process.\n\nWith a single prompt, Clueso can now:\n\n* **break down long recordings** like sales calls, webinars, or internal training calls, into bite-sized, polished videos\n* **generate** entire videos from documents and slide decks\n* **blur out** sensitive customer data from your screen recordings\n* create videos that match your brand or any design from our growing **template** library\n* generate **step-by-step docs** & SOPs from any screen recording\n\nMultiple teams at 1,000+ startups and enterprises already use Clueso for a variety of use cases.\n\nSign up today for free at [clueso.io](http://clueso.io)!",
        "url": "https://www.ycombinator.com/launches/Ovz-clueso-product-videos-in-minutes-with-ai",
        "votes": 176,
        "created_at": "2025-12-01T08:07:54.511Z"
      },
      {
        "id": 76665,
        "title": "Clueso: AI-powered product videos and documentation in minutes",
        "tagline": "Screen recording -> how-to articles crafted by AI and studio-quality videos with AI voiceovers ",
        "body": "### **TL;DR:**\n\n> Clueso helps teams create stunning product documentation in a fraction of the time.  Our tool converts simple screen recordings into comprehensive articles and kickass product videos. \n>\n> Clueso articles are crafted by AI and come with beautiful GIFs. \n>\n> To generate videos, Clueso lets you edit your script and swap your audio-track with a professional, natural-sounding AI voiceover. Videos also come with zoom- in effects, thumbnails, and custom branding – everything you need for a great video without any of the effort.\n\nHi everyone! We are Akash, Prajwal, and Neel, the team behind [Clueso](https://clueso.io/).\n\n## **🔴 The Problem**\n\nHigh quality educational content on products and processes isn’t a nice-to-have: it's a necessity. From knowledge base articles and feature launch videos to internal SOPs and employee training material, there's a constant need for videos and articles in any organization. \n\nBut creating this content is time-consuming and expensive:\n\n* Loom videos require several retakes to get the perfect output and, even so, don’t look professional or engaging enough.\n* If you’ve ever created documentation  for your product, you know how painful it is to capture screenshots and find the right words.\n\nAnd when a guide goes out-of-date, you need to put the same effort all over again!\n\n## **🟢 The Solution**\n\nClueso streamlines your entire workflow to create  product videos and documentation.\n\n**Creating User Guides**\n\nSimply capture a screen recording while talking through any feature or flow on your product. Clueso instantly gives you:\n\n* **Step-by-step articles:** Clueso snaps GIFs/screenshots, and AI drafts your guide automatically. No matter who captures the process, get a uniform tone across all articles. \\[[Check out a Clueso-generated article](https://www.clueso.io/features/help-articles)\\]\n\n  ![uploaded image](/media/?type=post&id=76665&key=user_uploads/1156693/1bc55859-9389-4b24-a054-db1efba881ed)\n\n* **Engaging studio-quality videos:** Update transcripts on-the-fly, and regenerate your video instantly with natural-sounding AI voices. Incorporate zooming-in effects and branded intro, outro, and background elements at a single click. \\[[Watch a Clueso-generated video](https://www.clueso.io/features/video-tutorials)\\]\n\n  ![uploaded image](/media/?type=post&id=76665&key=user_uploads/1156693/67d98602-2210-4f26-a668-13abd2ecd5cf)\n\n\n**Updating Content**\n\nWhen your product or process changes, simply re-record the updated flow and Clueso magically updates all related documentation. Don’t worry about swapping screenshots or explaining the same terms again. \n\n**Use Content Anywhere**\n\nContent created using Clueso can be exported anywhere or hosted on a Clueso powered help center or team workspaces.\n\n## **Our customers use us for creating…**\n\n1. how-to guides and videos for knowledge base\n2. SOPs for internal team training \n3. onboarding videos\n4. feature launch videos for landing pages and social media\n5. and sharing guides for ad-hoc customer queries\n\nBasically, anywhere you need videos or articles: Clueso has got your back.\n\n## **Our quick asks**\n\n* [Book a demo](https://calendly.com/clueso_intro/neel) with us if you want to learn more about Clueso and use it for creating product documentation, videos or a help center.\n* Refer us to anyone you know who’s on the lookout for a solution to improve their customer education or internal team training. Our inbox is always open [founders@clueso.io.](mailto:founders@clueso.io)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/clueso) or [Twitter](https://twitter.com/_Clueso) for new product updates and customer education best practices.",
        "url": "https://www.ycombinator.com/launches/JwX-clueso-ai-powered-product-videos-and-documentation-in-minutes",
        "votes": 203,
        "created_at": "2023-12-05T06:46:46.430Z"
      },
      {
        "id": 70052,
        "title": "🚀 Clueso : Create in-app tours that never go out-of-date",
        "tagline": "One screen recording → Help guides in three formats!",
        "body": "Hey there! We’re [Prajwal](https://www.linkedin.com/in/prajwalprakash2000), [Neel](https://www.linkedin.com/in/neelbalar7/), and [Akash](https://www.linkedin.com/in/theakashanand), and we are very excited to launch [Clueso](https://clueso.io) to all of you!\n\n**TL;DR:** Clueso helps customer success teams save time creating and maintaining help content for SaaS apps. Our product converts simple screen recordings of product features into interactive product tours and how-to guides that stay up-to-date with every product release. \n\n![uploaded image](/media/?type=post&id=70052&key=user_uploads/1159730/adc0642c-6d2c-44cd-b4e3-7e18691a78fe)\n\n### [**🔴**](https://emojipedia.org/large-red-circle/) **The Problem**\n\nUsers of SaaS apps have a hard time discovering new features and finding what they’re looking for, even on products with a well-designed UX.\n\nCreating help guides on tools like Intercom is time-consuming – you have to put together screenshots, write out instructions, and make everything look presentable. Making interactive tours is even more work.\n\nAnd what happens when you deploy new UI updates? All your hard work goes down the drain, and you have to start from scratch.\n\n### [**🟢**](https://emojipedia.org/large-green-circle/) **Our Solution**\n\nClueso lets you create help guides for product features in seconds rather than hours. Here’s how it works:\n\n**Step 1:** \n\nUse our chrome extension to capture a simple screen recording of some feature on your app. \n\n**Step 2:**\n\nThat’s it; you’re done! \n\nClueso automatically generates help guides in three formats: a document with screenshots, a video, and an interactive tour that points users to the exact buttons they need to click on your app.\n\n**Wanna see it in action?** Check out this 2-min demo: [Clueso Demo](https://www.loom.com/share/964797a5cf6c4582b5ffb5ccca662abf)\n\nTo serve all these guides to your users, **insert a single line of code** to add our help widget to your app. Your users’ experience looks something like this:\n\n![uploaded image](/media/?type=post&id=70052&key=user_uploads/1159730/182a84cf-6ce7-4f5b-aa2f-695a47b208a8)\n\n### 🤯 **But wait, there’s more!**\n\nNo more waiting for angry customers to come tell you your docs are out of date!\n\nWith every new update on your app, all guides are automatically tested. Outdated guides are flagged so that you know exactly which ones need to be reworked.\n\n### **Meet the team**\n\n![uploaded image](/media/?type=post&id=70052&key=user_uploads/1159730/f606bc26-46b2-4218-af78-465829b49618)\n\nWe’re a team of recent grads from IIT Madras. Before Clueso, our team built and scaled [Desklamp](https://desklamp.io) – a note-taking tool for students and researchers – to 2k MAU from around the world. We experienced this problem first-hand with Desklamp, where our users would repeatedly email us similar questions about how to use the product. Prajwal (middle) has a bachelor’s in Computer Science, while Neel (left) and Akash (right) have a bachelor’s in Engineering Design and a master’s in Data Science. \n\n### **Our Ask**\n\n* If you’d like to give your users an interactive way to learn your app or discover new features, reach out to us at [founders@clueso.io](mailto:founders@clueso.io) or schedule a chat with us here: [calendly link](https://calendly.com/clueso/30min?month=2023-03).\n* If you know of someone else who may be interested, especially customer success managers at seed-stage+ start-ups, we’d love an intro!",
        "url": "https://www.ycombinator.com/launches/IDs-clueso-create-in-app-tours-that-never-go-out-of-date",
        "votes": 191,
        "created_at": "2023-03-08T18:48:43.909Z"
      }
    ]
  },
  {
    "id": 27983,
    "name": "Retape",
    "slug": "retape",
    "former_names": [
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        "body": "**👋 Hi everyone, we are Naif & Abdulrahman from Sirdab.**\n\n**TL;DR:** Sirdab makes it easy for businesses to acquire dry, ambient, chilled and frozen warehousing space and hire fleets to move inventory through a single dashboard. Today, we manage over 50 warehouses, totaling 400k square meters of space, in 8 cities in Saudi Arabia. \n\n**❌ Problem – Storing and moving inventory in MENA is challenging**  \n\n**1\\. Difficulty in finding suitable solutions:** The conventional approach for businesses is to rent, equip, and operate their own warehouses. The available options are often difficult to discover online and frequently surpass the actual space needs for the business, resulting in underutilized facilities. On the other hand, businesses seeking third-party logistics (3PL) services face a similar challenge in locating a reliable and trustworthy partner.\n\n**2\\. Lack of short-term options:** Regardless of whether a business opts to rent its own warehouse or utilize a third-party logistics provider, it will likely be bound by long-term agreements with limited flexibility.\n\n**3\\. Inefficient inventory management:** As businesses grow, managing inventory across multiple locations becomes increasingly complex and inefficient. Unfortunately, many businesses still resort to using spreadsheet-based methods to manage inventory, lacking a clear record of their inbound and outbound transactions.\n\n**4\\. Challenges in inventory distribution:** For both wholesale and store distribution in Saudi, businesses often face the dilemma of either committing to lengthy contracts or operating their own fleets with subpar utilization efficiency.\n\n**✨ Solution – Hassle-free cloud warehousing & transportation through one platform 🚛**\n\n**1\\. Variety of warehousing space options:** Quickly find and secure dry, ambient, chilled and frozen warehousing space across 8 cities in MENA within 48 hours, for any space you need, starting with 10 square meters.\n\n**2\\. Flexible short-term contracts:** Whether you need the space for a month or a year, we got you covered. Our contracts include options for month-to-month, 6-month, and 12-month durations.\n\n**3\\. Streamlined inventory management:** Have a 360-degree view on your inventory list, track all historical movements, analyze consumption and get notified on shortages. \n\n**4\\. Wide-ranging transportation offerings:** Access a range of FTL, LTL freight offerings as well as parcel and last-mile carriers for store distribution. \n\n![uploaded image](/media/?type=post&id=70086&key=user_uploads/456006/6865d6e7-e9e0-425f-8a92-a473933dbaea)\n\n**💵 Bottom line impact based on traction:** \n\n**Warehousing cost for merchants:** Based on 80+ active clients, Sirdab customers see an average reduction in warehousing costs by 27%. \n\n**Transportation for merchants:** Aside from enhancing delivery times & quality, Sirdab customers have experienced an average decrease in their bulk and last-mile transportation expenses by 12%.\n\n**Warehousing operations for partners:** Along with boosting income and maximizing use of space, our partners are able to streamline their operations, monitor the time needed for order preparation, and have automated billing processes. \n\n**🤝 Quick Ask**\n\n* Spread the word!\n* Follow our journey on [LinkedIn](https://www.linkedin.com/company/usesirdab/) & [Twitter](https://twitter.com/usesirdab?lang=en)\n* If you currently work with a 3PL in the region, or need warehousing space, we would love to chat with you or the appropriate person at your company. Email us at [naif@sirdab.co](mailto:naif@sirdab.co) / [abdulrahman@sirdab.co](mailto:abdulrahman@sirdab.co)",
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        "id": 69919,
        "title": "MagnaPlay — AI-powered game translation",
        "tagline": "We translate games at a faster, cheaper and more reliable rate.",
        "body": "# **TL;DR**\n\n_We use AI-assisted translators to largely automate the process of translating your game. We turn months of work into days, profit-ruining expenses into a manageable cost, and we help connect the world through gaming._\n\nHey everyone! We’re [Pedro](https://www.linkedin.com/in/pedro-esteves-434169204/) and [Paulo](https://www.linkedin.com/in/rossirpaulo/) from Brazil, two college dropouts from Harvard and the University of Chicago on the mission to democratize gaming!\n\n![uploaded image](/media/?type=post&id=69919&key=user_uploads/850536/d16a0f68-1635-4548-822d-2d6ee50300e1)\n\n# **❌ The Problem**\n\nWell, it’s pretty intuitive that games these days need to be translated, with English speakers compromising only 20% of the gaming population. What isn’t intuitive is how expensive and time consuming this process is. \n\nTraditional localization involves identifying a suitable partner, negotiating complex pricing models, vetting their quality, and paying them tens of thousands for what is often a straightforward task. A part-time developer might have to wait months and invest upwards of $30k to translate their game!\n\n# **✨ Our Solution**\n\nWe built technology that translates entire games in seconds, instead of months. We take into account cultural norms, game context and even screen display sizes. We then cross check texts across languages and pass everything through our QA team, ensuring meaning is preserved and quality is up to the highest standards. \\\nWe integrate this infrastructure to game devs’ IDEs. Translation is now fully streamlined into the game production process. No back and forth, endless invoices, and contracts ⁠⁠— just one subscription, like any other SAAS tool.\n\n![](https://lh3.googleusercontent.com/3zdQ0u3UCe3h5et4jEbJJ8rCb-VElM_392zurrbCQp-dg-dPY9GJE6sP57CNzqiXResvekBIsQzccFapNhPsyUpKUd3mftTGLyDFckJDX1eMizPoaTQibIf1me_fn1tQQhNfdBgcNqIiqpPtgll36u0)\n\n![](https://lh3.googleusercontent.com/GjSjjOsIeCOTOLVNWClkimrgPsDJOXH6ET4VOw-eGc8gAWhkjz6y1kWUt55FiA8NuuXYaPyEI9CH6RN2lV1GZgqOkZyuIpTN2d807zzDW0FF4csQ5Sd5dyAGYn9MolpWKt6zTpu0yDPzI_XGFY3SL60)\n\nGaming is the entertainment form of the future, and it only makes sense that it should be accessible to everyone around the world. We aspire to be a tool used to build that reality!\n\n# ✅**Our Asks:**\n\n* If you’re a game dev, or know someone who is, email us at [hello@magnaplay.com](mailto:hello@magnaplay.com)!\n* Spread the word! Share this post, help us connect the world! 🌎",
        "url": "https://www.ycombinator.com/launches/IBj-magnaplay-ai-powered-game-translation",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 984968,
        "full_name": "Xiaohan Shen",
        "title": "Founder",
        "founder_bio": "Outbound nerd. Founder of Coldreach and EasyJobs. \n\nI built up a working outbound machine from scratch for 2 of my startups, and helped 50+ sales teams book meetings consistently from outbound. \n\nIf you want to chat about outbound, sales tactics, or startups, feel free to grab a time: https://calendly.com/shen-xiaohan/30min",
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      {
        "user_id": 1165112,
        "full_name": "Hankel Bao",
        "title": "Founder",
        "founder_bio": "Hankel is the CTO of Coldreach and ex-CTO of EasyJobs. He has extensive experiences in NLP and abstractions.\n\nHankel is enthusiastic in beautiful solution to hard problems. He started coding at 9, and developed an operating system in middle school. With that passion, he led the dev team to create the most intelligent solution to job applications at EasyJobs.",
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      {
        "id": 80525,
        "title": "Coldreach: Find ready-to-buy leads by monitoring custom signals",
        "tagline": "Helping B2B companies find who need their help, before the competition does",
        "body": "_TL;DR - _[_Coldreach_](https://coldreach.ai?utm_source=ycombinator&utm_medium=yc-launch&utm_campaign=YC+launch)_ finds the best leads at the right time by watching public signals, customized to your product. For example, it can find companies hiring their first accountant, so an accounting automation solution can hit them with a targeted message at the right time._\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n[⭐ Get a FREE list of high-intent companies today ⭐](https://airtable.com/app6J50ppnP1E86QV/pagToOMvuy00fPqNt/form)\n\n![uploaded image](/media/?type=post&id=80525&key=user_uploads/89898/02130ffb-d417-489d-99be-c26a38fa520c)\n\nHey everyone! We’re Shen and Hankel. We’re 2x founders who closely helped 40+ outbound sales teams last year. The biggest problem we see SDRs face is they waste >80% of their time spamming people who don’t care. We’re on a mission to change this at Coldreach. \n\n### 🤯 The problem 🤯\n\nB2B outbound is broken: Mass emailing no longer works. Conversion rates are low even with personalization. \n\n**The real problem is you can’t sell to someone who doesn't need help, even with the perfect message in the world.** \n\nMost teams waste >85% of time reaching out to the wrong people and have no time to focus on getting the attention of those who need their product. \n\n### 🟩 Our solution 🟩\n\nPublic data sources (job postings, news articles, 10-k reports, etc.) tell a lot about a company’s priorities and the problems it faces. \n\nLuckily, AI is great at screening through them to find who faces a relevant problem you solve today and why. \n\n**How it works:** \n\n1. Identify relevant signals that indicate buying intent\n2. AI agent starts monitoring the signal in your ICP market, 24/7\n3. Get a list of leads ready to buy today, updated daily\n\n![](https://lh7-us.googleusercontent.com/D4Zk6kyFEf0Xoj3ROgBX_U-2zi-hV4HaSrOaX9Od_CPzsrHXX93-o3RVFwW7xSR5sPOL6PDUY5xMdgQnyVnzj9A6T7PDKtLcfn7k20_dhASZq65BSMHFBPiGg7iq74UeONH2ZVsiy2PbKlg8OpBDjDg)\n\nAllison, ex-Senior SDR at Instawork (1,500+ employees), said:\n\n_“Coldreach found me the best accounts with hiring signals! I had the most qualified demos completed for Q4 out of 80 reps, while making almost the least number of calls, because I went after the right accounts and knew exactly what to say.”_\n\n**Example signals our customers tracked:** \n\n* **AP automation product**: Find companies hiring roles to process accounts payables, currently using Quickbooks\n* **Compliance product**: Find companies that recently onboarded a new Compliance Analyst\n* **CRM integration**: Find companies hiring engineers with experience in Salesforce APIs\n\n### The ask:\n\n* Want to track a public intent signal? We’ll [find you a list of high-intent companies for free.](https://airtable.com/app6J50ppnP1E86QV/pagToOMvuy00fPqNt/form) (first come, first serve)\n* Doing outbound but not sure if there’s a good public intent signal to find your buyers? [Chat with Shen](https://calendly.com/shen-xiaohan/15-minute). It isn’t always obvious!\n* If you know someone who could really use this, we’d love an intro! Please message Shen on [LinkedIn](https://www.linkedin.com/in/xiaohan-shen1/) or [shen@coldreach.ai](mailto:shen@coldreach.ai). Referral discount available.",
        "url": "https://www.ycombinator.com/launches/Kwn-coldreach-find-ready-to-buy-leads-by-monitoring-custom-signals",
        "votes": 100,
        "created_at": "2024-04-30T17:28:47.566Z"
      },
      {
        "id": 73239,
        "title": "🦾 Coldreach - Personalized prospecting at scale, tailored to your needs",
        "tagline": "Generate 2-5x more pipelines by researching your prospects and personalizing every cold email auto-magically, exactly in the way you need. ",
        "body": "### **Tl;dr**\n\nWe make it easy for sales reps to reach many more **qualified** **prospects**, without sacrificing **hyper-personalization**. A prospecting bot conducts prospect research on aspects sales reps care about and personalizes emails in the way they need. \n\nHey everyone! We are Shen and Hankel aka the team behind Coldreach.\n\n![](https://lh5.googleusercontent.com/MjyaZpGvltrsSs0ixus0dl1Yj4Kp6crAFBOh45wmdj941cuhaMYAck8PMAbQqtVXNhHIo-1JpJtSMmII4dvrqsCH8l4_tlLzye-qwKdrF1HhonZ1RNCvshyOtxmYuHMUrNxfu6sSDJ4XZHubmrL6kJg)\n\n### **👪 Who is it for**\n\nAre your sales reps:\n\n\\- spending a lot of time on **prospect research** and **personalizing emails** \n\nOR \n\n\\- not spending enough time on that? \n\nThen Coldreach is for your team. \n\n### **🧨 The Problem**\n\nSales reps face a dilemma today: **quality vs. quantity**. \n\nTake our friend Sam as an example. He is an SDR at a B2B company. He researches prospects thoroughly and personalizes every message. As a result, he gets a great reply rate, but he spends so much time on every prospect that he couldn’t reach out to a lot of people. To generate more pipelines, Sam tries to “spray and pray” a little bit - he created a sequence of templated emails and added 300 leads onto it, but got zero conversion. \n\nReps like Sam are forced to find a **balance between quantity and quality**, which often distinguishes the best-performing reps from the rest. \n\n### **💡 Our solution**\n\nWe automate prospect research and email personalization, allowing sales reps to have the best of both worlds and reach many more prospects with hyper-personalization. \n\nNo one knows better than your sales team how to prospect effectively, and certainly not an AI. So we allow you to **customize your own prospecting bot**:\n\nSpecify what you’re looking for in prospects or accounts.\n\n![](https://lh3.googleusercontent.com/NkZhfTa8P0rYV-iogDy5FIJJQdIcMGp-wUusr1lL8QkXmmnG7gU6DW1j0g2u89px2USJMkZ6ZAhUhuU7oW9yZvWZ1YCI9mXTxZZscFRKyoTTurSLgxPawPC9BQ5MovBcahANSae9Xzd1I1z_t2gN3f0)\n\nOur AI answers your questions based on real-time data from different sources. \n\n![](https://lh5.googleusercontent.com/IT1A9FDcMDNJNqMaEI0JzyBr0RAm25mI6yMFjnRn2NBpbWKSDEOoLB_FViN3ZcwM0JuuFBjeTIeyzcCM9z3Izq6IL2wTrY6HuhdM1Qp_0u4kXpdrFeKZnZWmtxxy0v13er_GG0YvXjDF3Z_GvEt5TyM)\n\nImport your prospect list, research prospects and quickly qualify/disqualify. \n\n![](https://lh4.googleusercontent.com/ORhMQ6kPxSM8DznlwDez-y1vHz4DzH1WrV-kuup7RusjHUDFlhtvFmzdS4-ND9W2QMmuOC3ZYQ9744ltrwDeBC8NkE5nbEPKQDMGNx7hVnvLdbe_FmvIUQvI2nyQ0Ct0fz8jgVID912S8IqA-qZ9tXk)\n\nEasily customize how you want your emails to be personalized. In one click, generate hundreds of personalized emails based on research and start your sequence. \n\n![](https://lh4.googleusercontent.com/DRGM8Z19PxQZ7KqfBfsR3hTbl1MMb4YFMJMz2hYMl2v0AkYQ21iRDJyuXSjXkEEgzgkd3egUrkg8a3nIoZbYsvhscu-E3cB8dQO1LIcfZzmOjon0Cj64-VPujirI2MK8AXKId82vvbbztdskt2uEFm4)\n\n### **🙏🏻 Our Ask**\n\nWanna try it out? Fill out this [form](https://airtable.com/shrXtHfPE8dHfSIQG) (\\~1 min) and we will be in touch! \n\nConnect us to sales leaders in your network: Connect with [Shen on LinkedIn](https://www.linkedin.com/in/xiaohan-shen1/) or drop a line to [shen@coldreach.ai](mailto:shen@coldreach.ai) - We love intros!\n\nInvestors: please reach out to [shen@coldreach.ai](mailto:shen@coldreach.ai)!",
        "url": "https://www.ycombinator.com/launches/J3H-coldreach-personalized-prospecting-at-scale-tailored-to-your-needs",
        "votes": 52,
        "created_at": "2023-07-19T19:41:50.168Z"
      },
      {
        "id": 70656,
        "title": "✍️ Coldreach: Automate sales email personalization for 10x conversions",
        "tagline": "We make every email to your prospects personalized auto-magically, so you get more meetings booked and deals closed. ",
        "body": "**Tl;dr**\n\nSales reps can teach AI how to personalize sales emails **the way they want** in 5 minutes, and our AI writes and sends personalized emails for every prospect on autopilot, resulting in both higher conversion and much more emails sent per day. \n\nHi! We are Shen and Hankel - the team behind Coldreach.\n\n![uploaded image](/media/?type=post&id=70656&key=user_uploads/984968/3a9fe46c-225e-4641-8432-0df8f1287d73)\n\n### **👪 Who is it for**\n\nIs your sales team:\n\n\\- spending a lot of time writing sales emails? \n\n\\- running templated email sequences that few people respond to? \n\n\\- struggling to train good SDRs?\n\n\\- finding it hard to write follow-up emails after meetings?\n\nThen Coldreach is for you. \n\n### **🧨 The Problem**\n\nTemplated emails get no attention and land in spam, because so many people are spamming. \n\nPersonalization pays off, but it takes a lot of training to do it well, and takes >5 mins to research and write every email. \n\n# 💡 Our solution\n\n**AI-powered templates** - instead of only replacing names on emails, Coldreach researches the prospect and fill in personalized information intelligently!\n\nFor example:\n\n![uploaded image](/media/?type=post&id=70656&key=user_uploads/984968/4e5912b7-35ae-4c1d-8c92-d262a0be07b3)\n\n![uploaded image](/media/?type=post&id=70656&key=user_uploads/984968/e06a982b-3c52-4707-ab0d-7466fa9edd20)\n\nFor every template, tweak the email for a few prospects manually, and the AI **learns from your tweaks to write the way you want**! \n\nImport lead list from your favorite engagement platform or CRM easily, and start **sending personalized emails to everyone automatically** using your AI-powered templates. \n\n![](https://lh3.googleusercontent.com/ZjsTytIbwS2ndQ5HDmd-AKq-784e-l0J4yTJaGfohtlppzdDWFRd6hhG8A6UWDnj_EargCGuYoHrK1gQtk7pkJHjHGuONnRFjpoIYIIYpCguSnPjuamUTzcvzRxsMGpFTnwInmR3C-IYpvBFGc7URT4)\n\nColdreach focuses on driving **scalable outbound sales**, but can also be applied on other forms of email interactions with prospects, regardless of inbound/outbound or cold/warm. \n\n# **💪 Why we built Coldreach!**\n\nWe built another startup also around LLMs, during which we wrote over 1,000 personalized sales emails for our outbound, so we know it converts, but hard to do at scale. \n\nThus, we decided to apply our expertise in writing sales emails and LLMs to solve this problem for other B2B companies struggling with it! \n\n# **🙏🏻 Our Ask**\n\nWant to use the product? Please fill out this [form](https://airtable.com/shrXtHfPE8dHfSIQG) (takes <1 min) and we will reach out! \n\nInvestor interested in investing? Please reach out to [shen@coldreach.ai](mailto:shen@coldreach.ai) to book a call!\n\nIf you know sales leaders or senior sales reps who may be interested, drop us a line at [founders@coldreach.ai](mailto:founders@coldreach.ai). We love intros!",
        "url": "https://www.ycombinator.com/launches/INc-coldreach-automate-sales-email-personalization-for-10x-conversions",
        "votes": 67,
        "created_at": "2023-03-30T21:18:18.123Z"
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    "id": 28006,
    "name": "Mantys",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab148653f771ae83b42b2726259e7e2be8e1e60a.png",
    "website": "https://www.mantys.io/",
    "all_locations": "Dubai, Dubai, United Arab Emirates",
    "long_description": "Mantys builds AI agents that automate healthcare and insurance operations. We work with some of the largest healthcare groups in the Middle East, including Aster, NMC, Zulekha, Medcare, Thumbay and Fakeeh. Our agents automate patient access workflows such as insurance eligibility, registration and prior authorization by working across hospital information systems, payer portals and unstructured documents. Today, Mantys is deployed across 100+ healthcare facilities and processes workflows for more than 40,000 patients every day.",
    "one_liner": "AI agents for healthcare and insurance operations in GCC",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1674394820,
    "tags": [
      "SaaS",
      "Healthcare IT"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
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    "regions": [
      "United Arab Emirates",
      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/mantys",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/mantys.json",
    "year_founded": 2022,
    "city": "Dubai",
    "country": "AE",
    "linkedin_url": "https://www.linkedin.com/company/82542033/",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab148653f771ae83b42b2726259e7e2be8e1e60a.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 770036,
        "full_name": "Kriti Arora",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kriti-arora-536111105/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1fa7910daddd52f188473e4341bc9d33362ab2b.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "30 Startups To Watch: Startups That Caught Our Eye In Feb 2023",
        "url": "https://inc42.com/startups/30-startups-to-watch-startups-that-caught-our-eye-in-february-2023/",
        "date": "Mar 05, 2023"
      }
    ],
    "launches": [
      {
        "id": 70496,
        "title": "Mantys: ARR reporting and forecasting tool for SaaS companies",
        "tagline": "Mantys helps SaaS companies calculate and forecast their ARR accurately in real time without using multiple spreadsheets.",
        "body": "Hey everyone!\n\nWe are excited to Launch [Mantys](https://mantys-new-d3fdb94a4d5f489b27ad571898cf.webflow.io/#top) to all of you!\n\nMantys helps SaaS startups get **real-time visibility of their ARR Cycle**. If you struggle to know what your contracted, live and realised ARR are at given point of time or need to go through a lot of manual effort to reach there, we can help you.\n\n**Problem:**\n\nAs companies grow, revenue is not just revenue, it is Contracted ARR, Live ARR, Realised ARR, Churn, expansion, etc. and it becomes increasingly difficult to keep a track of them due to:\n\n* **Data sitting in disparate locations:** Contracted ARR sits in CRM(Salesforce/Hubspot), Billed ARR sits in a billing software(Stripe, Chargebee), Churn sits in CS software(Gainsight) or Excel sheets, so on and so forth.\n* **Most of the tracking ends up happening in Google/Excel sheets** which leads to dependency on individuals, high chance of errors and inability to handle multi-dimensional data\n* **Difficult to forecast complex business models:** SaaS has matured and there are complex pricing models like usage based, hybrid emerging which makes customer level forecasting even more difficult.\n\nAs a result, founders/CFOs are not able to answer fundamental questions like what their ARR is, how much is actually realised, what is the onboarding cycle, how will it impact cash flow etc. at any given point of time leading to governance issues and lack of actionable insights. **It takes them 5-7 days every month to just compute revenue metrics.**\n\n![Twitter 上的Chetan Puttagunta：\"There's ARR and then there's ARR  https://t.co/XMKKkooAsM\" / Twitter](https://pbs.twimg.com/media/E34eGfvUUAADQ6C.jpg)\n\n**The solution**\n\nMantys helps SaaS companies calculate and forecast their ARR accurately in real time without using multiple spreadsheets. For example, NextBillion uses Mantys to pull data from HubSpot and Chargebee and create real-time views of their Contracted ARR, Billed ARR, Churn, and forecasted ARR.\n\nWe enable them to:\n\n* **Establish a single source of truth and automate processes:** Integrate with CRM, Accounting and Billing software to get real time visibility of your Contracted ARR, Billed ARR, Realised ARR, Unearned ARR, Expansion, Contraction, Churn, etc., broken down at customer & cohort level and use the data cleaning layer to reduce 80% of manual effort\n* **Get actionable insights and take corrective action faster:** Know the exact cycle between Contracted to Billed to Realised and reasons for discrepancies for different dimensions like time period, region, industry, etc,. and take actions preemptively to avoid accidents\n* **Simulate different what-if scenarios in minutes and forecast:** Build different scenarios to see how Bookings will translate into billing and cash flow and forecast at a customer/cohort level taking into consideration both revenue and usage data\n\n**We know every business is complex and has it nuances. We have however, solved this problem for multiple Series A+ SaaS companies like MoEngage, Locus, etc. and have identified patterns for data cleaning and transformation across businesses. And we know how to handle them.**\n\n* Recording Unbilled or unearned entries? Just enter on the system\n* Usage based revenue? Integrate your usage data\n* Don’t have a common identifier across systems? We can handle it.\n* Multiple entity or currency issues? Don’t worry, we will convert it.\n\nAnd we provide best-in-class templates which help SaaS startups get up and running in days with very minimal effort involved from their end.\n\n**Our ask:**\n\n* Have trouble figuring out your ARR lifecycle? Schedule time to chat here: <https://calendly.com/kriti-25/kritiarora_mantys>\n* If you know any growth stage SaaS company who might be a fit, please introduce us.",
        "url": "https://www.ycombinator.com/launches/IL2-mantys-arr-reporting-and-forecasting-tool-for-saas-companies",
        "votes": 71,
        "created_at": "2023-03-23T15:07:20.443Z"
      },
      {
        "id": 68546,
        "title": "Mantys - Modern day business planning & analytics tool for SaaS startups! 🚀",
        "tagline": "Helps companies take real-time data-backed decisions and plan growth scenarios.",
        "body": "👋🏼 Hello! We are Mantys and we are a Business Planning & Analytics tool with a focus on helping SaaS startups get **real-time visibility of their ARR Cycle**. If you struggle to know what your contracted, live and realised ARR are at given point of time or need to go through a lot of manual effort to reach there, we can help you.\n\n**The Problem** \\\nAs companies grow, It becomes increasingly difficult to track and forecast their Contracted ARR, Live ARR, Realised ARR, Churn, expansion, etc. due to:\n\n* **Data sitting in disparate locations:** Contracted ARR sits in CRM(Salesforce/Hubspot), Billed ARR sits in a billing software(Stripe, Chargebee), Churn sits in CS software(Gainsight) or Excel sheets, so on and so forth.\n\n\n* **Most of the tracking ends up happening in Google/Excel sheets** which leads to dependency on individuals, high chance of errors and inability to handle multi-dimensional data\n\nAs a result, founders/CFOs are not able to answer fundamental questions like what their ARR is, how much is actually realised, what is the onboarding cycle, how will it impact cash flow etc. at any given point of time leading to governance issues and lack of actionable insights.\n\n\\\n**The Solution**\\\nThus, we are building Mantys, a SaaS platform that helps companies:\n\n* **Get and track all their real-time data** – including financial and business metrics – in one place, simulate different scenarios, get insights faster, and be empowered to plan for the future.\n* Integrate with varying sources of data (like CRM, Accounting tools, etc.) and **automate the manual processes**/grunt work (reduce the time taken to generate reports and metrics by atleast 60%):\n* **Get access to best-in-class planning and analysis templates** to reduce the onboarding time to hours than months\n\nWe know every business is complex and has it nuances. We have however, solved this problem for multiple Series A+ SaaS companies like MoEngage, Locus, etc. and have identified patterns for data cleaning and transformation across businesses. And we know how to handle them.\n\n![uploaded image](/media/?type=post&id=68546&key=user_uploads/770036/8670ac5e-9582-422d-a086-922d5d9b259e)\n\n**Who we are**\n\nKriti worked with a growth-stage VC fund in the past and helped a lot of portfolio companies build their MIS and plans and Mudit worked on creating data pipelines and parsers at DE Shaw.\\\nWe have the required domain expertise and skills to be able to solve this problem.\\\n\\\n**Ask:**\n\nIf you are interested or know any Series A+, $6-7Mn ARR+ SaaS companies who are facing a similar challenge, we would love to talk. You can email us at [kriti@mantys.io](mailto:kriti@mantys.io) and [mudit@mantys.io](mailto:mudit@mantys.io)",
        "url": "https://www.ycombinator.com/launches/Hpa-mantys-modern-day-business-planning-analytics-tool-for-saas-startups",
        "votes": 114,
        "created_at": "2023-01-19T10:23:27.549Z"
      }
    ]
  },
  {
    "id": 28019,
    "name": "inBuild",
    "slug": "inbuild",
    "former_names": [
      "inBuild, Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/565db1f58d2ff6409bb5c8eb3aefcdbc3f515329.png",
    "website": "https://www.inbuild.ai/",
    "all_locations": "Wilmington, DE, USA; San Francisco, CA, USA; Aspen, CO, USA",
    "long_description": "inBuild boosts revenue for home builders by automating the thousands of invoices they receive for every project.  For example, when a subcontractor sends an invoice for work they completed, inBuild checks the cost against the project budget, handles any approvals, pays the bill, and updates Quickbooks.",
    "one_liner": "Workflow Automation for Construction Finance ",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1671544099,
    "tags": [
      "AI-Enhanced Learning",
      "Fintech",
      "Payments",
      "Construction",
      "Proptech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
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    "demo_day_video_public": false,
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "After working as the financial controller for a large general contractor in Aspen, Ty concluded that construction finances have unusually complex life cycles and very antiquated and disparate solutions. He was frustrated after trying every software available in pursuit of solving the problem for the GC.  Ty went to his brother Ian who was assisting in the acquisition of Finvera, a San Francisco-based startup. He presented the idea of starting their own company to build a platform that solved the problems Ty felt firsthand. "
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We’re inspired and motivated by the success stories of Y Combinator alumni, like Stripe, PlanGrid, Balance, and so many others. Our goal is for inBuild to one day be as recognizable as these brands."
      }
    ],
    "url": "https://www.ycombinator.com/companies/inbuild",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/inbuild.json",
    "year_founded": 2021,
    "city": "Wilmington",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/inbuildai",
    "x_url": "https://twitter.com/inBuildai",
    "fb_url": "https://www.facebook.com/inbuildai/",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/565db1f58d2ff6409bb5c8eb3aefcdbc3f515329.png",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "user_id": 1115776,
        "full_name": "Ty Sharp",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO at inBuild. \n\nPreviously CFO at Sweeney Development, an Aspen-based General Contractor building $350M in construction volume. \n\nExpressing my creativity through building things that people love. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ty-sharp-59b907123/",
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        "full_name": "Ian Sharp",
        "title": "Founder",
        "founder_bio": "Co-Founder of inBuild. Supercharging financial management for builders.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ianwsharp/",
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      {
        "id": 63775,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/inbuild/jobs/F5QTABH-founding-engineer",
        "location": "Boise, ID, US / Santa Barbara, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Android",
          "Django",
          "Go",
          "iOS",
          "JavaScript",
          "Python",
          "React",
          "XML",
          "DynamoDB",
          "Flutter"
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    "news": [],
    "launches": [
      {
        "id": 70189,
        "title": "inBuild - Financial automation for home builders",
        "tagline": "Spend time building, not processing documents.",
        "body": "Hi there! [Ty](https://twitter.com/tysharp_ib) and [Ian Sharp](https://twitter.com/iansharp_iB) here from [inBuild](https://www.inbuild.ai/).\n\nOur team is building a platform that automates the workflow of financial documents by plugging into email accounts, extracting incoming documents, and processing them all the way into existing accounting systems.\n\n![uploaded image](/media/?type=post&id=70189&key=user_uploads/1115776/47d121da-2a70-4dfb-b36e-9af7ab09ab36)\n\nOver the last 12 months, inBuild has processed over $450M of invoice volume with over $8M flowing through the platform daily.\n\nCustomers rave about inBuild saying:\n\n“You often hear 'under promise and over deliver'. I don't believe that is the business model of inBuild, but they continually over-deliver.“ - Joey Zikor, CFO at [Finbro Construction](https://www.finbroconstruction.com/)\n\n### Problem\n\nFinancial management should be seamless, but construction companies are faced with…\n\n* high document volumes.\n* no industry standardizations.\n* complicated approval workflows.\n* outdated legacy software (yuck 🤮)\n\n![uploaded image](/media/?type=post&id=70189&key=user_uploads/1115776/b71952c8-eb4d-4d6c-bc97-8c2b92c153df)\n\n### Solution\n\nA simple interface that works for you not against you, by…\n\n* ingesting incoming emails.\n* customizing account details.\n* learning from interaction.\n* automating document lifecycles.\n\n![uploaded image](/media/?type=post&id=70189&key=user_uploads/1115776/c39a25f3-9256-4a43-8e2d-ce0546f5c823)\n\n### Team\n\nTy was the CFO of a large luxury home builder and was working with real estate developers that collectively process over $250M in construction volume each year. His brother Ian was the Director of Growth at Gainfully, a Series A startup based in the Bay Area, and assisted in the company's successful acquisition.\n\nThe brothers teamed up to tackle this challenge after cold-calling over 2,000 home builders. What they learned was that a custom home takes 18-24 months to build and during that time the contractor will receive more than 18,000 invoices from vendors and subs, each with as many as 100 line items that all need to be verified and cross-checked to budgets and contracts. The process desperately needs to be automated and we have the backgrounds to make that happen.\n\n![uploaded image](/media/?type=post&id=70189&key=user_uploads/1115776/441f1209-cad6-4c31-a995-f7b161c267c0)\n\n### Asks\n\nPlease reach out if you know any…\n\n* [referrals to home builders](mailto:sales@inbuild.ai).\n* [talented individuals looking for work](https://www.ycombinator.com/companies/inbuild/jobs).\n* [connections to investors](mailto:founders@inbuild.ai).",
        "url": "https://www.ycombinator.com/launches/IG5-inbuild-financial-automation-for-home-builders",
        "votes": 200,
        "created_at": "2023-03-11T19:49:23.880Z"
      }
    ]
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    "id": 28045,
    "name": "Peeba",
    "slug": "peeba",
    "former_names": [
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    "website": "http://peeba.com/",
    "all_locations": "Jakarta, Jakarta, Indonesia",
    "long_description": "Peeba is a one-stop B2B wholesale marketplace that is changing the way retailers across Asia purchase inventory. We’ve streamlined the buying process, making it easier than ever for independent retailers to buy top-selling products from unique brands for their stores.",
    "one_liner": "Risk-free wholesale for retailers across Southeast Asia",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1674343263,
    "tags": [
      "Fintech",
      "Marketplace",
      "B2B",
      "Retail"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Indonesia",
      "Southeast Asia",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/peeba",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/peeba.json",
    "year_founded": 2020,
    "city": "Jakarta",
    "country": "ID",
    "linkedin_url": "https://www.linkedin.com/company/peeba",
    "x_url": "https://twitter.com/Peeba_official",
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    "cb_url": "https://www.crunchbase.com/organization/Peeba",
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      "name": "Aaron Epstein",
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      {
        "user_id": 1119720,
        "full_name": "Jacky Lai",
        "title": "Founder",
        "founder_bio": "Founder and CEO @ Peeba - Before Peeba, I have ran two companies including an e-commerce business where I led the team to grow to over $40mn USD in annual sales. I graduated from Emory University in Atlanta, Georgia. ",
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      {
        "user_id": 745223,
        "full_name": "Kevin Cho",
        "title": "Founder",
        "founder_bio": "CEO @ Medifly.ai. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/chokevin1",
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    "jobs": [],
    "news": [
      {
        "title": "​​How This Online Marketplace Is Changing The Face Of Cross-Border Commerce In Asia",
        "url": "https://www.forbes.com/sites/tiffanylung/2022/06/02/how-this-online-marketplace-is-changing-the-face-of-cross-border-commerce-in-asia/?sh=68f6473884f9",
        "date": "Jan 17, 2023"
      },
      {
        "title": "Peeba raises $4.2M to digitize Asia’s B2B wholesale market   • TechCrunch",
        "url": "https://techcrunch.com/2022/04/07/peeba-raises-4-2m-to-digitize-asias-b2b-wholesale-market/",
        "date": "Apr 07, 2022"
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    "launches": [
      {
        "id": 69864,
        "title": "🚀 Peeba - Faire for Asia",
        "tagline": "We help retailers in Asia discover and buy inventory online without risk. ",
        "body": "**tl;dr:** Peeba is a B2B wholesale marketplace that simplifies the buying process for retailers in Asia, connecting them with over 2,500 brands from around the world at the best prices, with free returns and 60 days payment terms.\n\n👋 Hello everyone! We are Kevin and Jacky, founders of [Peeba](https://www.peeba.com/).\n\n![](https://lh5.googleusercontent.com/Z8jALKdiHQaXA8YwXCDv9tYOySii1nPFLOWqAkbsav0X8egaQ3d0veCkDIZeYFsl5pvm3G7dUBT1QaQvL6XTOIX29d0_zlx60rkmtdoygpWQrs41aV1vONYLLRjx1yjecZoGL1qyhA5ANhCvG6e0Eac)\n\n**Problems:**\n\nDespite the growth in e-commerce over the last decade, the B2B wholesale industry in Asia that supports and connects retailers with brands languishes in the pre-digital era and lags behind in technology adoption - over 80% of wholesale transactions in Asia are still brokered over phone and physical meetings with sales representatives. Retailers face difficulty discovering relevant new products, it is risky to take on new products and very cumbersome to manage multiple brand/supplier relationships. The same applies for brands - going to trade-shows to entice buyers is expensive and inefficient. This problem is amplified in Asia where people are spread out across different countries, with different languages, different payment methods, different logistics infrastructure and non-transparent pricing creates many layers of challenges for retailers and brands to build relationships. \n\n**Solution:**\n\nPeeba addresses these pain points by providing a one-stop B2B wholesale marketplace that offers retailers in Asia access to thousands of best selling products with flexible buy-now-pay-later options and free returns. Our platform uses machine learning to enable discovery, allowing retailers to streamline their procurement process, automating many of the tedious tasks associated with buying inventory and simplifying cross-border logistics, making it easy for retailers to discover new brands and manage inventory. With our free return policy, retailers can reduce inventory risk and purchase with confidence, helping them to buy inventory that their customers will love. \n\n![uploaded image](/media/?type=post&id=69864&key=user_uploads/1119720/a04b3631-f594-4707-974c-4e2b9a0f72be)\n\n**A bit more about us:**\n\nWe kicked off our journey in mid-2020 and since then, we've been on a mission to make B2B trade simpler, connecting retailers across 13 markets in Asia with over 2,500 brands and growing! The more we dive into the complexities of the industry, the more driven we become to simplify wholesale for everyone involved. Our goal is to empower retailers across Asia to achieve more by revolutionizing the way B2B wholesale trade is done, bringing efficiency and simplicity to the forefront of the industry.\n\n**Ask:**\n\nIf you are a brand looking to expand your wholesale business in Asia, please reach out to us [here](https://peeba.com/brands).\n\nIf you are an investor looking to join our mission, please reach out to us here: [founders@peeba.com](mailto:founders@peeba.com). ",
        "url": "https://www.ycombinator.com/launches/IAq-peeba-faire-for-asia",
        "votes": 167,
        "created_at": "2023-03-02T05:47:09.677Z"
      }
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    "id": 28048,
    "name": "Muffin Data",
    "slug": "muffin-data",
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    "one_liner": "Modern analytics for CPG brands",
    "team_size": 2,
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    "subindustry": "B2B -> Analytics",
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    "status": "Acquired",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/muffin-data",
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      "name": "Aaron Epstein",
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    "founders": [
      {
        "user_id": 1165044,
        "full_name": "Andres Recalde",
        "title": "Founder",
        "founder_bio": "Co-founder at Muffin Data working to provide analytics solutions for leading Food & Beverage brands. Formerly at Banza, Gopuff, La Colombe, and RJMetrics. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andres-s-recalde",
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      {
        "user_id": 1117423,
        "full_name": "Sal Calvo",
        "title": "Founder",
        "founder_bio": "Co-founder at Muffin Data building the single source of truth for CPG brands. Formerly at WhatsApp, Facebook, Stanford MS&E, RJMetrics. Talk to me about data warehousing + product growth.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/salcalvo/",
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      {
        "id": 70143,
        "title": "Muffin Data — Simple analytics for food and beverage brands",
        "tagline": "Muffin Data is a turnkey data platform and reporting solution for CPG brands.",
        "body": "**TL;DR: **[**Muffin Data**](https://muffindata.com)** is an analytics platform built specifically for your favorite food and beverage brands sold in retail stores.**\n\n### **😔 The problem**\n\nIf you’re selling products in retail (imagine any packaged product the next time you’re walking down the aisle at Whole Foods), there are huge barriers for you to take action on your data. These barriers are incredibly painful, costing **time, money, and manual effort**:\n\n* **Disparate data:** all your data lives in separate portals and is hard to combine in a meaningful way\n* **No automation:** almost **no data** in our space is exposed via programmatic API\n* **No standardization:** because everyone is pulling manually, everyone problem-solves in their own bespoke way\n\n### 📊 **The solution**\n\n![uploaded image](/media/?type=post&id=70143&key=user_uploads/1165044/91bbd312-7cac-4a53-816f-265620c70d99)\n\nTo solve this, we connect to your brand’s major data sources — **retailer portals** (daily sales for each store and product a brand sells) and **distribution portals** (shipments to stores and inventory) — to extract, normalize, and enrich the data for common analytics use cases.\n\nOur first product gives the end-user an easy plug-and-play dashboard to understand **velocity and distribution** at at the **retailer, store, and product** level. Under the hood, it’s the first unified data warehouse built specifically for food and beverage.\n\n### **🌱 Our backstory**\n\n![uploaded image](/media/?type=post&id=70143&key=user_uploads/1165044/4906d8a4-7c0a-4f1e-b002-a22ceb6ab3c2)\n\nWe ([Andrés Recalde](https://linkedin.com/in/andres-s-recalde) and [Sal Calvo](https://www.linkedin.com/in/salcalvo)) met building data warehouses at a startup called RJMetrics. Andrés went on to build data teams in the CPG industry at fast-growing brands like La Colombe, Gopuff, and Banza — and realized along the way how limited the existing data tooling for the industry really is.\n\nHere we are at Expo West 2023 peddling our wares for the first time! 🤘\n\n### **🙏 Our ask —**\n\n* If you **know any** **food and beverage brands** who would be interested in trying us out, we’d love an intro ([founders@muffindata.com](mailto:founders@muffindata.com)) and a chance to demo. We’re excited to add to our already-activated list of early customers.",
        "url": "https://www.ycombinator.com/launches/IFL-muffin-data-simple-analytics-for-food-and-beverage-brands",
        "votes": 28,
        "created_at": "2023-03-10T17:24:34.255Z"
      }
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  },
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    "id": 28069,
    "name": "Pylon",
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    "website": "https://usepylon.com/?utm_source=bookface&utm_medium=referral&utm_campaign=pylon-profile",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pylon is the only agentic support platform, purpose-built for B2B companies. For leaders scaling AI-native support teams, Pylon lets humans and agents collaborate on customer work – investigating, resolving, and acting on every signal across every channel that matters.\r\n\r\nUnlike platforms built before the AI era, Pylon enriches every interaction with deep account-level context, automates the low impact customer work, and surfaces answers before your team even has to ask. The result: faster responses, happier customers, and a system that continuously improves itself.\r\n\r\nHundreds of fast-growing YC companies of all sizes like Retool, Hightouch, and Deel use Pylon to manage their customers.\r\n\r\nLearn more at usepylon.com",
    "one_liner": "The Agentic Support Platform purpose-built for B2B.",
    "team_size": 120,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1676268747,
    "tags": [
      "B2B",
      "Customer Success",
      "Customer Support",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/pylon-2",
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usepylon/",
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    "cb_url": "https://www.crunchbase.com/organization/pylon-f27d",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 356481,
        "full_name": "Advith Chelikani",
        "title": "Founder",
        "founder_bio": "usepylon.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/advith/",
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        "full_name": "hammad Syed",
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      {
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        "url": "https://greylock.com/greymatter/reid-hoffman-chatbots-talking-ai-with-ai/",
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      {
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      {
        "id": 75648,
        "title": "PlayHT 2.0 Turbo ⚡️ - The fastest generative AI Text-to-Speech API (+ YC deal)",
        "tagline": "A new blazing-fast Conversational Text-to-Speech model with <300ms latency!",
        "body": "## **TL;DR**\n\nWe are thrilled to announce the release of the _FASTEST_ Voice LLM to date! Real-time speech streaming from text in 300ms or less. Dive in and test it using our [Playground](https://play.ht/playground), [available SDKs](https://docs.play.ht/reference/nodejs-sdk), or these Replit demos for [Nodejs](https://replit.com/@MahmoudFelfel/PlayAPIStreamingDemo) and a [chatGPT integration](https://replit.com/@MahmoudFelfel/ChatGPT-with-PlayHT-Voices#index.js).\n\n**YC Deal**\n\nFor all YC companies, get 50% off API Plans for 2 years, [check it here](https://bookface.ycombinator.com/deals/2051).\n\n<https://youtu.be/QBvugSdHpW8>\n\n# **Introduction**\n\nAt [PlayHT](https://play.ht/), our vision is to redefine human interactions with AI agents. Whether it’s for customer support or sales calls, AI tutors, or bringing Gaming NPCs to life, our goal is to revolutionize the way humans communicate with generative AI agents. \n\nToday we announce our latest milestone on the road to fulfilling that vision: the launch of PlayHT Turbo, a new version of our [conversational voice model, PlayHT 2.0](https://play.ht/conversational/) that generates speech in under 300ms via network and < 100ms for on-premise solutions.\n\n## **Input Text Streaming**\n\nPlayHT 2.0 Turbo supports input text streaming. This feature seamlessly integrates with LLMs, like chatGPT. Simply feed the output stream of tokens/words from the LLM and the SDK will process the tokens in the best way that can balance both generating expressive contextual speech and reducing the TTFB (time to first byte).\n\n## **Output Speech Streaming**\n\nOnce Turbo receives text, it starts streaming audio in approximately 70ms. However, due to inevitable network costs, users typically receive the audio stream within a 200ms to 400ms window.\n\nCheck out our demo showcasing the integration with chatGPT with both input and output streaming: \n\n<https://www.youtube.com/watch?v=hF6IueCacfg>\n\n## **Create Delightful Conversations**\n\nReady to redefine human-AI communication? Build the next AI Therapist, AI Tutor, Gaming NPCs, or Personal Assistant that actually sounds human? We built this API for you, get started now for free, and join our [discord](https://discord.gg/ZGganaStFq) and show us what you are building!\n\n**How can you help?**\n\n* If you have any connections or potential partners in the conversational AI, customer support, or AI agents space, please send intros.\n* [Retweet](https://twitter.com/play_ht/status/1714382990523167197).\n* Build cool stuff :)",
        "url": "https://www.ycombinator.com/launches/Jg8-playht-2-0-turbo-the-fastest-generative-ai-text-to-speech-api-yc-deal",
        "votes": 16,
        "created_at": "2023-10-19T00:11:07.237Z"
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        "title": "PlayHT: The Generative AI voice platform",
        "tagline": "Generate or clone voices and turn any text into human-like speech",
        "body": "**TL;DR At PlayHT we’re building our own Large Language Speech Models that are capable of generating highly expressive and emotional speech, and companies like Amazon, RedBull, Volvo , Hyundai & SalesForce use our platform to create voice content at a fraction of the cost without compromising on quality.**\n\nHello everyone, we’re Mahmoud and Hammad, and we’re building generative voice models that can generate true human-level speech that can be used in media and content creation.\n\n![uploaded image](/media/?type=post&id=69947&key=user_uploads/382101/7ee43104-38e9-4f99-a931-031d8b084866)\n\nSome of the most common use cases of PlayHT are -\n\n1. **Voice cloning** - media and gaming companies use our voice cloning to clone actors/character voices and use them in post-production.\n2. **Voiceovers** - from YouTubers to training & Elearning teams at companies use our platform for creating voiceovers for their videos, employees and customers.\n3. **API -** developers and companies use our API to create dynamic content or add interactive voice experiences to their applications.\n\n🎧 **Listen to these audio samples generated by our models** → <https://youtu.be/aL_hmxTLHiM>\n\n![uploaded image](/media/?type=post&id=69947&key=user_uploads/223804/4a67beb5-99fe-49a9-976d-04619509ab3b)\n\n### **The Problem**\n\n* **Recording and updating** voiceovers is time consuming and tedious work. If you’ve ever tried recording one, you know what we’re talking about.\n* **Hiring voice actors** is **expensive.** They charge $100-$150 per 75-100 words, plus royalty fee.\n* **Updating** the audio in the future is a hassle because you have to get the same voice.\n\n### **Our Solution**\n\nHighly expressive generative voice AI with voice cloning capabilities.\n\nWe’re solving this problem by building **voice models that are trained on LLMs** so they can understand the context of the text passed to them. The models are capable of cloning any voice with near perfect results **with just 10 minutes** of recordings.\n\n![uploaded image](/media/?type=post&id=69947&key=user_uploads/223804/2e4d07e8-49d9-4ac2-ae1a-f9491065fa4c)\n\n**There are two ways we offer our models -**\n\n1. We offer a diverse library of 100+ high quality fine-tuned voices that creators can start using right away.\n2. We allowing creators to clone their voices and use those for creating new or update existing content.\n\n**We’ve built a text to voice editor and an API for people to access and interact with these voices.**\n\n![uploaded image](/media/?type=post&id=69947&key=user_uploads/223804/920079ca-b9e7-4755-9827-3d90b678dc30)\n\n### **Our story**\n\n* We started [Play.ht](http://Play.ht) with a chrome extension to listen to articles.\n* As a way to grow, we built audio player widgets for bloggers that had a ‘powered by [play.ht](http://play.ht)’ link. This turned into a product that people started paying for.\n* A big problem bloggers had was to edit the text before converting it to audio. At that time, we piggy backed on other TTS APIs and built a robust TTS editor to help solve this issue.\n* People started using our editor to create voiceovers and we realized a bigger need and made a pivot to build our own TTS models that are now used by thousands of people from individual creators to teams at Fortune 500 companies.\n\n### **Our Ask 🙏**\n\n1. We’ve opened up access to our voice cloning tool for the launch period. Try cloning your voice and share an audio sample on social to help spread the word.\n2. If you run a popular YouTube channel, podcast, newsletter or have lots of Twitter followers - **we’d love to clone your voice** and show it to your audience!\n3. If you or anyone you know might be interested in using our models please introduce us to them or reach out to us.\n4. We offer an API that gives access to our voices, please try it out and share any feedback you have - <https://playht.github.io/api-docs-generator/#ultra-realistic-voices-api>\n5. Interested in working with us? Reach out!\n\nYou can reach out us at [hammad@play.ht](mailto:hammad@play.ht) and [mahmoud@play.ht](mailto:mahmoud@play.ht).",
        "url": "https://www.ycombinator.com/launches/ICB-playht-the-generative-ai-voice-platform",
        "votes": 34,
        "created_at": "2023-03-05T15:29:37.043Z"
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    "id": 28074,
    "name": "Keep",
    "slug": "keep",
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    "website": "https://www.keephq.dev",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel; Remote",
    "long_description": "Keep is an open-source AIOps platform. Keep acts as a single pane of glass to all your alerts from any monitoring tool and helps you turn 1000s into just 10s of meaningful alerts.\r\n\r\nKeep joined forces with Elastic on May 2025.",
    "one_liner": "The open-source AIOps platform",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1674164403,
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      "Monitoring"
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    "status": "Acquired",
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      "Middle East and North Africa",
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    "stage": "Early",
    "app_video_public": false,
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    "city": "Tel Aviv-Yafo",
    "country": "IL",
    "linkedin_url": "https://www.linkedin.com/company/keepalerting",
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        "linkedin_url": "https://www.linkedin.com/in/talbo",
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        "founder_bio": "Passionate about building stuff. Less is more. Long-distance runner.\nOccasionally (hopefully more) writes on shaharglazner.medium.com",
        "is_active": true,
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        "date": "May 20, 2025"
      },
      {
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        "url": "https://www.elastic.co/blog/elastic-and-keep-join-forces",
        "date": "May 06, 2025"
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        "title": "אחרי 8200 ו-Y Combinator: הסטארטאפ הישראלי Keep נחשף עם גיוס הון ראשון",
        "url": "https://www.geektime.co.il/keep-raises-seed-from-yc/",
        "date": "Oct 15, 2024"
      },
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        "id": 70094,
        "title": "Keep - Open source alerting CLI",
        "tagline": "Open source alerting CLI for all observability tools, with a simple and intuitive (GitHub actions-like) syntax.",
        "body": "Hey YC 👋, Shahar and Tal here 🚨\n\n![uploaded image](/media/?type=post&id=70094&key=user_uploads/1194329/3ba4c3ed-1965-4bf4-a261-985cecaff39e)\n\nWe are thrilled to share Keep with the YC community today!\n\n[Keep](https://github.com/keephq/keep) is an open-source alerting CLI alternative to Prometheus Alertmanager or Grafana Alerts, but for all observability tools, with a simple and intuitive (GitHub actions-like) syntax.\n\n**😫 Problem**\n\n* Engineering teams are frustrated with the explosion of tools that trigger alerts. On average, engineering teams have more than five tools that generate alerts.\n* Using proprietary vendor alerting/monitoring products locks you into the vendor, making it extremely challenging and time-consuming to migrate at a later stage.\n* Vendors today require you to send/integrate all your data, which is a big overhead when all you want to do is simple alerting.\n\n**🚨 Why Keep?**\n\n1. Simple and intuitive (GitHub actions-like) syntax.\n2. Declarative alerting that easily be managed and versioned in your source control and service repository.\n3. Alerts from multiple data sources for added context and insights.\n4. Freedom from vendor lock-in, making it easier to switch to a different observability tool if and when needed.\n\n💻 **Demo**\n\nPlay with Keep using our [Platform](https://platform.keephq.dev/)\\\n\\\n**🙏 Asks**\n\nTry out Keep and share your feedback on how it can be improved. Here’s our GitHub repo - <https://github.com/keephq/keep>\n\nHave any questions? Join our [Slack community](https://slack.keephq.dev/) and drop us a message",
        "url": "https://www.ycombinator.com/launches/IEY-keep-open-source-alerting-cli",
        "votes": 44,
        "created_at": "2023-03-09T17:20:58.252Z"
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    "name": "Turntable",
    "slug": "turntable",
    "former_names": [
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    "all_locations": "New York City, NY, USA",
    "long_description": "Turntable allows less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics without hiring more engineers.\r\n\r\nIf you use DBT or Airflow- or you're building out your data stack for the first time- please reach out!",
    "one_liner": "AI-native operating system for analytics teams",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
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        "full_name": "Justin Leder",
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        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/justin-leder/",
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        "full_name": "Ian Tracey",
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        "founder_bio": "Ian is a co-founder & CTO of Turntable.\n\nIan has spent years as a tech lead where he led the development of some of Stripe's hosted UI products and the business ML platform at Pinterest. Previously, Ian worked on autonomous drone software at Latitude and was the founder of Hack Arizona, one of the largest collegiate hackathons in the US with over 1100 hackers attending annually.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/itracey/",
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        "id": 68583,
        "title": "Turntable - Transform data at warp speed",
        "tagline": "We help data teams find, contextualize and transform data",
        "body": "**TL,DR:** Turntable is a collaborative tool to create and manage data pipelines- built from the ground up with AI. To start, we’re focused on reducing the time and cost of transforming data within DBT, an open-source data engineering platform. Check out our first drop, [**DBT copilot**](https://www.turntable.so/copilot)**.**\n\n### **🐌 Problem**\n\nDespite being one of the most important parts of a modern business, data transformation tools are often hard to use, slow, and uninspiring. Data teams spend the majority of their time finding the right data, creating pipelines, and responding to ad-hoc requests. With the added issue that recruiting data talent is difficult, data pipelines quickly become a bottleneck for product development and business learning.\n\n### **⏩ Solution**\n\nOur first product is a [DBT copilot](https://www.turntable.so/copilot) that allows DBT users to do in minutes what they previously could do in hours or days. Our copilot currently supports:\n\n* generating or modifying DBT code\n* writing DBT schema and documentation\n* generating code for sharing DBT models in BI or visualization tools\n\nWatch a demo of the copilot [here](https://www.youtube.com/watch?v=dHQpry2Ctok).\n\nIn the future, you’ll see us launch more features and integrations to make it easier to find and contextualize data within your analytics codebase and collaborate with your teammates.\n\n### **📚 Backstory**\n\nWe’ve all either worked on data teams or have been customers of data teams that have been blocked on data pipeline work:\n\n* Justin led commercial data science at Cruise where he managed a team of data scientists that spent 70% of their time managing data pipelines in DBT.\n* Ian was the tech lead for growth & data engineering teams at Pinterest and Stripe, where he had to build internal tools and hacks to get around data pipeline constraints.\n* Wally led product for Twitter’s Home Timeline team, which would often be blocked on the creation of new metrics and data pipelines- slowing down product development and learning.\n\nTogether, we started Turntable because we believe that generative AI has created an opening to build a new standard for data transformation tools.\n\n### **🙋 Asks**\n\n* If your company uses DBT, reach out at [team@turntable.so](mailto:team@turntable.so)! (bonus: we may help you save >50% on your DBT costs 🤑).\n* If your company doesn’t use DBT, we’d love introductions to data teams at companies that do",
        "url": "https://www.ycombinator.com/launches/HqB-turntable-transform-data-at-warp-speed",
        "votes": 44,
        "created_at": "2023-01-20T23:53:57.602Z"
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    "all_locations": "Madrid, Community of Madrid, Spain",
    "long_description": "Invopop helps global companies like SumUp, Fever, and DeepL manage electronic invoicing across more than 25 countries through a single API.\r\n\r\nIn the next five years, over 40 countries—including all EU member states—will require businesses to issue invoices electronically and report them in real-time to tax authorities. Instead of building and maintaining numerous local integrations, global companies can integrate just once with Invopop, streamlining compliance and saving time.",
    "one_liner": "We help global software companies comply with local tax reporting ",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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    "batch": "Winter 2023",
    "status": "Active",
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      "Europe",
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    "year_founded": 2021,
    "city": "Madrid",
    "country": "ES",
    "linkedin_url": "https://www.linkedin.com/company/invopop/",
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    "cb_url": "https://www.crunchbase.com/organization/invopop",
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        "full_name": "Juan Moliner Malaxechevarría",
        "title": "Founder",
        "founder_bio": "Spanish-born, Industrial Engineer and ex-BCG.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/juan-moliner/",
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        "full_name": "Sam Lown",
        "title": "Founder",
        "founder_bio": "Software developer. CTO Founder of Cabify, Spain's first tech unicorn.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samlown/",
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        "title": "Graduate Product Engineer",
        "url": "https://www.ycombinator.com/companies/invopop/jobs/Q4bZCh3-graduate-product-engineer",
        "location": "Madrid",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€45K EUR",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 90372,
        "title": "Staff Product Engineer",
        "url": "https://www.ycombinator.com/companies/invopop/jobs/fc0Rc19-staff-product-engineer",
        "location": "Madrid",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€90K - €140K EUR",
        "equity_range": "0.20% - 1.00%",
        "experience": "11+ years",
        "visa": "US citizenship/visa not required",
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        "id": 68825,
        "title": "Invopop - Global sales tax compliance with a single integration",
        "tagline": "Invopop helps companies comply with global Sales Tax/VAT reporting requirements.",
        "body": "Hey YC! 👋 \\\nWe are Sam and Juan, co-founders of [Invopop](https://www.invopop.com/), and we are on a mission to simplify Sales Tax/VAT compliance, globally.\n\n### **🧨 The problem: new sales reporting requirements**\n\nTax authorities around the world are starting to require that companies report **every sale**, in **real-time** for tax recording purposes. Yes, every **single transaction,** in real-time (i.e. **electronic invoicing**)\n\nThis is **already required** in most **LatAm** countries and India, and the majority of **European countries** are making it mandatory in the next **1-3 years**.\n\n![uploaded image](/media/?type=post&id=68825&key=user_uploads/1138452/fcc7d3af-be8e-41da-9e85-45dd7b4b4286)\n\n## **🎉  Our solution: one API, global compliance**\n\nOur API receives the information of a **sale in a simple open-source format** and **converts it to a locally-compliant invoice,** including\n\n* Sync with tax authorities reporting requirements (e-invoicing).\n* Generate a custom-branded PDF invoice and send it to customers.\n* Integrate with the company’s stack (e.g. ERP, billing, payments, reconciliation).\n\n![uploaded image](/media/?type=post&id=68825&key=user_uploads/1138452/457c38ec-ba3d-49b8-a18c-4f8e1ddc7fef)\n\nInvopop is already live in **Colombia, Spain & Portugal**. Many more coming soon: Mexico, Italy, Peru…\n\n### **🚀 Why we built Invopop**\n\n**Sam** was previously **co-founder & CTO of Cabify**, and as they expanded to LatAm, complying with the e-invoicing requirements became a nightmare. As he could not find a global provider to solve this, he built Invopop.\n\n**Juan** worked as a **consultant in Mexico** and was blown away by how complex the e-invoicing system was. When he learned this is becoming mandatory in Europe, he knew Invopop was needed!\n\n### **🙏🏼 Ask**\n\nIf you want to make sure your company complies with the new regulation: Schedule a demo with us [here](https://savvycal.com/juan-moliner/15min-public)!",
        "url": "https://www.ycombinator.com/launches/Hu5-invopop-global-sales-tax-compliance-with-a-single-integration",
        "votes": 25,
        "created_at": "2023-01-30T01:47:23.981Z"
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    "id": 28080,
    "name": "Tagsafe",
    "slug": "tagsafe",
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      "Swishjam"
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    "country": "US",
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        "id": 77810,
        "title": "Revenue Analytics by Swishjam — Connect your product usage data to revenue",
        "tagline": "Pull in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue.",
        "body": "Swishjam’s Revenue Analytics solution pulls in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue. Most importantly, your revenue is now automatically connected to your user’s product usage.\n\n![uploaded image](/media/?type=post&id=77810&key=user_uploads/26873/84e0b9b4-523c-4c42-a7b2-48f85eeb3255)\n\n**How does it work?**\n\nSwishjam connects to your Stripe account, syncs your data, and calculates all of your most important SaaS-related revenue metrics such as MRR, churn rate, revenue retention, and more.\n\nWhen you enable Revenue Analytics in Swishjam, you get:\n\n1\\. **Revenue Analytics Dashboard** - data visualizations of all your key revenue metrics.\n\n2\\. **Automations & Slack Notifications** - because Swishjam is now ingesting your Stripe events as they occur in real-time, you can set up [automations](https://swishjam.com/solutions/automations) to take actions when important revenue-related events occur.\n\n3\\. **Reporting** - Get daily/weekly/monthly reports on your revenue in Slack or by email.\n\n4\\. **User Profiles Tied to Revenue** - we automatically tie user profiles from your product analytics to Stripe data. This lets you build a better picture of your customer without lifting a finger. We also roll up this data to organizations if your app has that type of billing. Coming in version 2 is the ability to predict churn from this data and catch zombie users before they churn to keep more of your hard-earned customers.\n\n**Why is this exciting?**\n\nSure, lots of other apps already have this type of dashboard but **none that we know of can tie this type of information together easily**. Currently, it’s quite painful and most usually a manual process. This is also a big step towards our larger mission of tying your disparate data sources into your product analytics data as a first-party citizen, automatically stitched to your user profiles, and creating a true 360 user profile. What this means is that within Swishjam, you will be able to easily sift, segment, and visualize all of your product analytics data along with your billing data (and other data sources!) to answer questions like:\n\n1\\. Which of my users’ usage is dropping off who are subscribed to the Gold Plan?\n\n2\\. What percent of users on the Free Trial trigger the {your aha moment} event?\n\n3\\. What were the usage patterns for user XYZ leading up to their churn?\n\nInterested in getting access? Drop us a line at [founders@swishjam.com](mailto:founders@swishjam.com) and we’ll get you up and running in a few clicks.",
        "url": "https://www.ycombinator.com/launches/KF0-revenue-analytics-by-swishjam-connect-your-product-usage-data-to-revenue",
        "votes": 15,
        "created_at": "2024-01-24T15:34:14.849Z"
      },
      {
        "id": 70623,
        "title": "Swishjam - Open-source suite of page speed optimization tools",
        "tagline": "We help companies measure, monitor, and optimize their page speed to deliver best in class experiences to their users.",
        "body": "Hey all - Collin here, co-founder of Swishjam.\n\n[Swishjam](https://www.swishjam.com) is a suite of [open-source](https://www.github.com/swishjam/swishjam) tools that enables companies to deliver the best experience to their users by providing them with the tools they need to measure, monitor, and optimize their page speed.\n\n**Page speed really, really matters**\n\nPage speed is one of the most important yet overlooked metrics to delivering the best experience to _all_ of your users. A faster page load is directly correlated with higher conversion, better SEO, and lower bounce rates. Amazon reported in 2006 that every additional 100ms in page load resulted in a 1% drop in revenue. Despite that, the page speed tooling is lagging behind, leaving users with more questions than answers.\n\nWe first encountered this problem when working with users in a past role watching them attempt to diagnose performance issues on their site. While page speed was a top priority for them, they often had to use legacy software, and/or hire expensive consultants to triage and resolve them.\n\n**A wholistic solution to measuring, monitoring, and optimizing page speed**\n\nSwishjam helps you identify page speed bottlenecks by capturing key performance metrics your users are receiving on your site. Our dashboards help you make sense of your overall page speed, and provides you with actionable insights and tooling to improve.\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/fba9b8fe-a743-4318-abdd-79efe6954328)\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/4bebf3e3-89f4-466d-95db-391c1359feae)\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/1319cc5c-129a-4663-b194-61fc999f5da4)\n\n**Want to learn more?**\n\nIf you or someone you know works in eCommerce, digital media, or a related industry where page speed is important KPI, we’d love any intros! You can get in touch with us at [founders@swishjam.com](mailto:founders@swishjam.com).",
        "url": "https://www.ycombinator.com/launches/IN5-swishjam-open-source-suite-of-page-speed-optimization-tools",
        "votes": 35,
        "created_at": "2023-03-29T17:38:10.086Z"
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    "id": 28081,
    "name": "DAGWorks Inc.",
    "slug": "dagworks-inc",
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    "website": "https://www.dagworks.io/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "We’re on a mission to enable everyone to build reliable AI agents & AI applications. We're fully open source, and provide a unique integrated development & observability experience for those building anything in the AI space. This is the first step towards laying the foundations for Composable AI Systems; all AI systems need observability and introspection to be first class for them to be reliable.\r\n\r\nHow? We're standardizing how people write python to express data, ML, LLM, & agent workflows/pipelines/applications with lightweight frameworks. So that no matter the author, it'll be easy to collaborate, connect, and importantly in one line integrate observability and datastore needs. This speeds up time to production and reduces TCO because code remains easy to maintain and your data flywheel stays manageable. So you can increase the top line & bottom line of your business by delivering on AI that is reliable.\r\n\r\nWe've got two open source projects:\r\n- one focused on AI applications, called Burr (https://github.com/dagworks-inc/burr).\r\n- one focused on AI pipelines/workflows, called Hamilton (https://github.com/dagworks-inc/hamilton) see https://www.tryhamilton.dev\r\n\r\nBoth Hamilton & Burr come with self-hostable UIs (+ enterprise & SaaS offerings). With a one-line code change, you get versioning, lineage / tracing, cataloging, and observability out of the box with Hamilton. With Burr you get tracing, observability and persistence in a single line addition.\r\n",
    "one_liner": "Open source tools & services for reliable AI Agents & AI Applications",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1672773099,
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      "Developer Tools",
      "Generative AI",
      "Open Source",
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": [
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        "answer": "Collaborative ML ETL platform for data scientists"
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      {
        "question": "What is your company going to make? Please describe your product and what it does or will do.",
        "answer": "An open-core platform for data science teams to develop, productionize, and maintain machine learning ETLs, using a company’s existing MLOps & data infrastructure."
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    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/dagworks-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/dagworks-inc.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/dagworks-inc/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1208898,
        "full_name": "Stefan Krawczyk",
        "title": "Founder",
        "founder_bio": "A hands-on leader and Silicon Valley veteran, Stefan has spent the last 15 years working on data and machine learning systems at companies like Stitch Fix, Idibon, Nextdoor, and LinkedIn.\n\nBefore DAGWorks Inc., Stefan led the Model Lifecycle team at Stitch Fix, where its mission was to streamline the model productionization process for over 100+ data scientists. That's when he co-created https://github.com/dagworks-inc/hamilton, which he's excited to continue driving today with DAGWorks Inc.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/skrawczyk/",
        "x_url": "https://twitter.com/stefkrawczyk",
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        "user_id": 1209559,
        "full_name": "Elijah ben Izzy",
        "title": "Founder",
        "founder_bio": "Elijah has spent his career building tools for Data Scientists, Quantitative-minded engineers, and AI researchers. Prior to founding DAGWorks, Inc., Elijah built out Stitch Fix's machine learning platform, which was used and loved by over 100 data scientists. A core component of this was Hamilton (https://github.com/dagworks-inc/hamilton), an open-source framework for managing dataflows that DAGWorks's is now driving forward.",
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        "linkedin_url": "https://linkedin.com/in/elijahbenizzy",
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    "launches": [
      {
        "id": 69876,
        "title": "DAGWorks: Avoid Machine Learning Pipeline horror stories 😱",
        "tagline": "From creation to maintenance, DAGWorks is building a more human capital efficient way for Data Science teams to build and own Machine Learning Pipelines.",
        "body": "👋 Hi, Stefan & Elijah here from [DAGWorks](https://dagworks.io).\n\n![uploaded image](/media/?type=post&id=69876&key=user_uploads/1208898/cf51f7bb-c9a2-495e-91d8-afb1ddfc0192)\n\n### **TL;DR:**\n\n(1) At DAGWorks Inc. our goal is to make Machine Learning (ML) initiatives more human capital efficient. (2) Our solution is an open source SaaS platform for Data Science teams to build and maintain model pipelines, plugging into as much of your existing MLOps and data infrastructure as you want. (3) Star our open source project [Hamilton on github](https://github.com/dagworks-inc/hamilton) and get started with it via [tryhamilton.dev](https://www.tryhamilton.dev).\n\n### **❌ The Problem:**\n\nAsk a Data Scientist whether they like inheriting someone else’s ML pipelines. 99% of the time, they’ll say no. Why? Getting ML to production is easy when you’re small, but when your team and codebase start to grow, maintaining these pipelines becomes challenging:\n\n* 😕 understanding code you didn’t write\n* 🐛 debugging production issues\n* 🏗️ migrating to new infrastructure\n* 🥼 handling personnel changes\n\nThis causes teams to spend far more time keeping existing ML pipelines afloat than innovating and driving their business forward.\n\nTo get out of/avoid such a mess, you need a high (and expensive) software engineering skill set, but for many that’s not an option. In our experience, this phenomenon is the biggest blocker to leveraging machine learning in your business as it grows.\n\n### **✨ Our Solution**\n\n(1) We leverage our open source project [Hamilton](https://github.com/dagworks-inc/hamilton), which is an opinionated way to write python code (akin to what DBT did for SQL), that naturally helps teams follow software engineering best practices.\n\n(2) Using the DAGWorks Client on top of Hamilton, we can give you full insight into how your pipelines operate on the DAGWorks Platform, including:\n\nA **catalog of functions** - feature catalog anyone?\n\n![](https://lh5.googleusercontent.com/lDX_3El7R6_OdBZg_tfBekfl--qUUmsmm10wBFcZcE59wrTn01e2_U8Ns-LC73fCfsJ1kmGirfbZ6XT_T_uqniK7SyJsPPZt6BXb8byJCq_C6HNlFhsdOLdiPdyVWAwS18x4D2bAQhN19AVX4Ouga6w)\n\n**Lineage** - see upstream and downstream dependencies:\n\n![](https://lh5.googleusercontent.com/-EwfBtPJB1OkF3JtS_JATLshDFHTnudGU5qyn9TqZJ3i29LcZGw0pU4Xed3Yb-apaRETO2HqQY_mDCD1ucOt8MQA5VH0D7Q_uCW99uh90c72nbKEeY8dvn5ppH5zhM0i-PtKJHDfxEYwaojPezU1ZlE)\n\n**Debugging insights** - e.g. know exactly what code failed given an airflow task failure:\n\n![](https://lh3.googleusercontent.com/j6gqllKW9oDbC9r8KC4_TRusN3MxSemIySmHq8PhSZnwOYGDwQ5ckwe-LIW4MFdtKtRfjpyCXlE_qTpQTT5boMbIDNfMgOz9huOG01UK0RuGQLFxTIR7YMuEAy5OfDuQJc-qDqdaGFLUy_9NR4nl3mo)\n\nAnd more like **data observability**, and **links with materialized artifacts** (like data sources, models, features, etc.).\n\n(3) The DAGWorks Platform becomes your ML Pipeline control plane. Use it to manage integrations with your existing infrastructure, as well as providing any reporting and compliance insights you need.\n\n### **⚙️ How it works**\n\nWith [Hamilton](https://github.com/dagworks-inc/hamilton), users logically express what should happen, which helps avoid vendor and infrastructure lock in. Then with the DAGWorks Platform & Client, we make your Hamilton code run on your existing infrastructure, providing out of the box connectors to common systems, and provide insights post execution. By building on a solid foundation that clearly decouples concerns, we can avoid the problems that plague traditional ML Pipelines. This enables Data Science teams to move faster and do more themselves, making ML projects more human capital efficient.\n\n**👪 Founding Team**\n\n[Stefan](https://www.linkedin.com/in/skrawczyk/) and [Elijah](https://www.linkedin.com/in/elijahbenizzy/) worked together at Stitch Fix where they built the self-service ML Platform for over 100 data scientists. They learned firsthand the troubles that occur building and maintaining ML Pipelines over a diverse set of modeling disciplines. Their work has been recognized by industry and included in books, newsletters, and was even the topic of a lecture at Stanford. Previously Stefan built data and ML systems at Nextdoor and LinkedIn and graduated from the Stanford CS Masters program with a Distinction in Research. Elijah built tools for quants at Two Sigma and studied Math and CS at Brown.\n\n### **🙏 Asks**\n\n1. Start with Hamilton open source today!\n   * ⭐️ Star [Hamilton on Github](https://github.com/dagworks-inc/hamilton)! Download it from [PyPI](https://pypi.org/project/sf-hamilton/).\n   * Checkout out [www.tryhamilton.dev](http://www.tryhamilton.dev) for an in browser overview of Hamilton. A common use case is to start using it for feature engineering.\n   * Don’t know how to leverage Hamilton – [book time](https://calendly.com/stefan-dagworks/15-minute-intro-call-with-stefan) and we’ll walk you through it!\n2. We’re looking for more leads to larger organizations that have ML Pipeline struggles, in particular if they have compliance/auditing needs for them. Know someone, or perhaps you’re the right person? Please email us - [founders@dagworks.io](mailto:founders@dagworks.io) or book [15 minutes here](https://calendly.com/stefan-dagworks/15-minute-intro-call-with-stefan).\n3. We’re still currently in closed beta for the DAGWorks Platform, but you can sign up for early access via [www.dagworks.io](http://www.dagworks.io).\n4. Follow us on Twitter for updates:\n   * [DAGWorks](https://twitter.com/dagworks)\n   * [Hamilton_OS](https://twitter.com/hamilton_os)",
        "url": "https://www.ycombinator.com/launches/IB2-dagworks-avoid-machine-learning-pipeline-horror-stories",
        "votes": 91,
        "created_at": "2023-03-02T18:05:42.420Z"
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    "id": 28082,
    "name": "Sorted",
    "slug": "sorted",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12cc8fc655f814db94872047b9f30cc7991aede8.png",
    "website": "https://sorted-lp.webflow.io/",
    "all_locations": "Copenhagen, Denmark; Remote",
    "long_description": "The first completely automated SaaS management software. \r\nScrap the spreadsheets and avoid slack surveys when you need to run compliance audits, provisioning users, or track unused licenses. Sorted provides visibility to admins in 2 minutes without sacrificing employee flexibility.",
    "one_liner": "Instant SaaS management",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1672841928,
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      "Collaboration",
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/sorted",
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    "country": "DK",
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      "name": "Jared Friedman",
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        "user_id": 1148997,
        "full_name": "Adam Ingwersen",
        "title": "Founder",
        "founder_bio": "Tinkerer based in Denmark",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/adamildk",
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        "full_name": "Frederik Ingwersen",
        "title": "Founder",
        "founder_bio": "Engineer with people skills.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/frederik-ingwersen-linnemann-a69005106/",
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    "id": 28087,
    "name": "Rivet",
    "slug": "rivet",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78acdf0f2271926c4c6856385a0b7846a8135bd7.png",
    "website": "https://rivet.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rivet Actors are the primitive for stateful workloads.\r\n\r\nBuilt for AI agents, collaborative apps, and durable execution.\r\n\r\nOpen-source.",
    "one_liner": "Rivet Actors are the primitive for stateful workloads",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1675129787,
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    "status": "Active",
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    "regions": [
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    "city": "San Francisco",
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    "linkedin_url": "https://www.linkedin.com/company/rivet-gg",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 1202740,
        "full_name": "Nicholas Kissel",
        "title": "Founder",
        "founder_bio": "Building open-source Cloudflare Workers & Durable Objects. Previously at Paradox.ai & Addicting Games. University of Arizona.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicholaskissel/",
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      },
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        "user_id": 1203698,
        "full_name": "Nathaniel Flurry",
        "title": "Founder",
        "founder_bio": "The actor guy",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nathanflurry/",
        "x_url": "https://twitter.com/NathanFlurry",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9522beab1d7c1477b8094827a080f37f42dc11a.jpg"
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    ],
    "jobs": [
      {
        "id": 104561,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/rivet/jobs/08lOGd6-software-engineer",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$80K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "C++",
          "Go",
          "PostgreSQL",
          "Rust",
          "SQLite",
          "Distributed Systems"
        ]
      }
    ],
    "news": [
      {
        "title": "Our favorite startups from YC's Winter 2023 Demo Day — Part 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/04/05/y-combinator-demo-day-favorites-part-one/",
        "date": "Apr 05, 2023"
      }
    ],
    "launches": [
      {
        "id": 70240,
        "title": "👾 Rivet - Heroku for multiplayer games",
        "tagline": "Run multiplayer games with managed game servers, matchmaking, and DDoS mitigation.",
        "body": "**TL;DR:** [_Rivet_](https://rivet.gg) makes it easy to run multiplayer games with managed game servers, matchmaking, and DDoS mitigation. Contact us at [_yc@rivet.gg_](mailto:yc@rivet.gg) to get access to the closed beta!\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/e8281ea7-b796-4b7d-83e1-91367747b058)\n\n[**Rivet**](https://rivet.gg) **is trusted by publicly traded companies to indie studios to serve millions of monthly players on our infrastructure.**\n\n**The Team**\n\nIn high school, we procrastinated our homework by building and launching multiplayer games together for fun. We always wanted to make building multiplayer games more accessible, so we started Rivet to do exactly that.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/b4463d5c-b8d6-4fe2-9e89-268db904ebfa)\n\n**Together, we built a small game studio and launched 4 games with one acquisition.**\n\n[Nathan](https://www.linkedin.com/in/nathanflurry/) (right) independently built infrastructure serving over 15M MAU & 20k concurrent players while still in high school on games like [Krunker.io](http://Krunker.io) (acquired by FRVR). He was an Apple WWDC scholar from 2016-2018 and was featured in TechCrunch for his visual programming language.\n\n[Nicholas](https://www.linkedin.com/in/nicholaskissel/) (left) was a PM at the [Paradox.ai](http://Paradox.ai) R&D department to help built AI HR solutions for companies like McDonalds. He continued to work at Addicting Games as a PM on multiple multiplayer games and helped launch [Apes.io](http://Apes.io), a cutting-edge browser-based battle royale.\n\n**The Problem**\n\nModern games need game servers to support large lobbies, anti-cheat, low latency, and mobile platforms. **The need for game servers is growing, but** **studios have to build their own game server infrastructure from scratch.**\n\nTherefore, **studios spend more time building in-house game server infrastructure than adding content** when trying to launch games with game servers. This makes it unreasonably difficult for small to medium-sized studios to launch and maintain these types of games.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/5918c6af-05a5-404b-943a-66c4ccc9c276)\n\n**We make it easy for game developers to run their game servers on **[**Rivet**](https://rivet.gg)**.** We take care of auto-scaling servers, matchmaking, and DDoS mitigation so the developer can focus on adding content. Rivet works with all major game engines and custom server code.\n\n**Integrating Rivet into a game takes 4 lines of code in any language.** We provide no-downtime deploys with easy rollbacks.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/49c025ec-b2b3-4148-8f08-55625dca99a6)\n\nOnce a game is up and running, Rivet provides a sleek dashboard for operating the game and streamlining DevOps. Developers can manage their lobbies, view analytics, rollback versions, diagnose crashes, and manage namespaces.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/3fe4f55a-dc32-42b0-a444-4de15f618120)\n\nWant to see Rivet in action? Watch our [3-minute crash course](https://www.youtube.com/watch?v=pBE7s-PK0j0)!\n\n**Our Ask**\n\nIf you or a friend is building a multiplayer game – even if it’s a hobby project – we’d love to chat! Contact us at [yc@rivet.gg](mailto:yc@rivet.gg).",
        "url": "https://www.ycombinator.com/launches/IGu-rivet-heroku-for-multiplayer-games",
        "votes": 57,
        "created_at": "2023-03-13T20:31:18.735Z"
      }
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    "id": 28091,
    "name": "Hindsight",
    "slug": "hindsight",
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    "website": "https://www.usehindsight.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Hindsight's AI helps teams understand why they win or lose deals - and use that insight to win more.\r\n\r\nOur platform is used by teams like Ironclad, LaunchDarkly, and Klaviyo to build workflows on top of their GTM data.\r\n\r\n1. Build battlecards, objection handling guides, and case studies that never go out of date\r\n2. Create AI roleplays based on real conversations your sales team is having\r\n3. Analyze 1000s of deals to create reports and alerts for your GTM, product, and strategy teams.",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1673288585,
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    "batch": "Winter 2023",
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
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        "full_name": "Ani Gottiparthy",
        "title": "Founder",
        "founder_bio": "Co-Founder, CEO @ Hindsight | Helping GTM Teams Learn from Wins and Losses\nComputer Science + Design at UC Berkeley. PM @ Logitech working on AI-powered meetings.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ani-gottiparthy/",
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      {
        "id": 88481,
        "title": "Hindsight – Competitive Intelligence That’s Actually Intelligent",
        "tagline": "Win more competitive deals with simple AI-powered insights and workflows",
        "body": "Deals are more competitive than ever, and sales teams don’t feel prepared to win. Product marketing teams constantly get hit with questions like:\n\n* “How do we beat \\[competitor\\]?”\n* “Do we have a battlecard for this?”\n* “What’s our answer to \\[new competitor launch\\]?”\n\nTo find answers, teams have to dig through call recordings, piece together competitor research, and hope they’re making the right call.\n\n![uploaded image](/media/?type=post&id=88481&key=user_uploads/1213493/b87ca67c-de33-4a14-9dfa-28abc23ce023)\n\n### **The Problem**\n\nCompetitive intelligence today is **broken**:\n\n* **Prioritizing junk data** – Teams spend tons of money on web monitoring tools that flood them with alerts that don't actually matter.\n* **Ignoring the best source of intelligence—actual buyers** – Most marketing teams review **<5%** of calls and talk to **<1%** of lost prospects. That’s not enough to know why deals are really won or lost.\n* **Outdated content** – PMMs spend weeks building battlecards that go stale before they’re used. Sales stops trusting them, and adoption plummets.\n\n### **How Hindsight Fixes This**\n\n<https://youtu.be/vqNqL9ZylVU>\n\nUnlike other CI tools, Hindsight prioritizes competitive insights directly from your buyers AND helps you collect it.\n\n* **Win-Loss at Scale** – AI analyzes 100% of your CRM deals, calls, and emails to uncover decision drivers, identify competitors, and clip key quotes from deals.\n* **Automated Buyer Feedback** – Hindsight runs unbiased debriefs with won and lost prospects to uncover how they really compare you vs. competitors—giving you the data sales teams actually need.\n* **Real-Time Competitive Intelligence** – Hindsight monitors the web and your other sales tools daily to build and maintain battlecards automatically.\n* **Just-in-Time Sales Enablement** – Insights and battlecards are delivered directly in Slack or email so reps always have the right info before their calls. Automatically updated as new insights roll in.\n* And a lot more!\n\n### **Why We’re Building Hindsight**\n\nHey, I’m Ani 👋. I co-founded Hindsight with one of my best friends, Andrew Luo. When I was a PM, I spent too much time **guessing** why we won or lost deals. Our roadmap was shaped by opinions instead of facts, and I struggled to get sales teams aligned with the right messaging.\n\nWe built Hindsight to turn every deal into a learning opportunity and make sure sales, product, and marketing are always aligned on the truth.\n\n### **See Hindsight in Action**\n\nHindsight integrates seamlessly with **Salesforce, HubSpot, Gong, Slack and other popular tools**, so you can capture and act on the right insights instantly.\n\n![uploaded image](/media/?type=post&id=88481&key=user_uploads/1213493/be5da5a9-7e57-46d3-b273-13557e270c68)\n\nTeams using Hindsight see competitive win rates increase by up to **15%**.\n\nIf you’re in a competitive industry and want to stop losing winnable deals\n\n**→** [**Get early access**](https://www.usehindsight.com/)",
        "url": "https://www.ycombinator.com/launches/N17-hindsight-competitive-intelligence-that-s-actually-intelligent",
        "votes": 34,
        "created_at": "2025-03-11T17:40:13.824Z"
      }
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  },
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    "id": 28092,
    "name": "Dill",
    "slug": "dill",
    "former_names": [
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    "website": "https://usedill.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dill helps construction suppliers automate accounts receivable, online payments, and credit applications.",
    "one_liner": "Dill helps construction suppliers automate accounts receivable,…",
    "team_size": null,
    "industry": "B2B",
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    "isHiring": true,
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    "batch": "Winter 2023",
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dill",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/dill.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 339405,
        "full_name": "Catherine Jiang",
        "title": "Founder",
        "founder_bio": "Second-time founder digitizing payments for the construction industry",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/catherinehuijiang",
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    "jobs": [
      {
        "id": 95754,
        "title": "Account Executive ($150-180 OTE)",
        "url": "https://www.ycombinator.com/companies/dill/jobs/lK4vqF3-account-executive-150-180-ote",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 95755,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/dill/jobs/PU1CUuB-sales-development-representative",
        "location": "San Francisco, CA, US / Remote (US)",
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      {
        "id": 113898,
        "title": "AI Engineer / Lead",
        "url": "https://www.ycombinator.com/companies/dill/jobs/n13RHke-ai-engineer-lead",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
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      {
        "id": 69694,
        "title": "🌿 Dill - Faster payments in foodservice distribution",
        "tagline": "We help foodservice distributors get paid faster & get time back on more sales",
        "body": "Hi everyone! Excited to launch [Dill](https://usedill.com/) 🤠\n\n**What we do**\n\nDill is a digital invoicing & payments tool for foodservice distributors. \n\n**The problem**\n\nFoodservice distributors are processing hundreds of invoices each day. Their biggest pain today is late payments. Restaurants often pay late due to missing invoices and proof of delivery. This is because of the way invoicing is done today – it’s still rooted in paper. \n\n**The solution**\n\nAt Dill, we’re bringing the invoicing & payments process online, and we’re built specifically for the unique workflows of the food supply chain. With us, our customers have gotten paid 20% faster and gotten 20 hours per week back on new sales & better customer service. \n\n![](https://lh6.googleusercontent.com/KxWNLoQzLq6zbnAe05wfz564uhonBCmELjcZ4TeLnGyEGShYsdLonW7UHcgb5pXlyZy0RpXwqaPeHsxc1Mn5LlxKZ7fcehZatJoVxEHrNlff0gjnUIVtnddmCEg933BdaJoobQCgRVvnrod2MpTSwQ)\n\n**Our backstory**\n\nI’m a second-time founder, and b2b commerce is my bread and butter. My last startup in b2b commerce was acquired, so this isn’t my first rodeo! I have always been passionate about the food supply chain – I previously was a PM at Yelp and have always been a huge foodie 😋\n\n**The asks**\n\n🥦 Would appreciate any **warm leads to foodservice distributors**. If you know someone or know someone who knows someone, reach out at [catherine@usedill.com](mailto:catherine@usedill.com)!\n\n💵 Ping me if you’re also building in AR/AP. Would love to bounce off ideas and share learnings.",
        "url": "https://www.ycombinator.com/launches/I86-dill-faster-payments-in-foodservice-distribution",
        "votes": 84,
        "created_at": "2023-02-27T05:56:24.934Z"
      }
    ]
  },
  {
    "id": 28093,
    "name": "Common Paper",
    "slug": "common-paper",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a5fd0218aaaf79164dd214261cfc4cec6d668f8.png",
    "website": "https://commonpaper.com/",
    "all_locations": "Philadelphia, PA, USA; Remote",
    "long_description": "Common Paper is a contracting platform that helps startups close deals with their customers faster and with less risk.\r\n\r\nWe create standard, open-source contracts for commercial transactions, including NDAs, DPAs, and sales agreements. These are analogous to the SAFE, but are between customers and vendors rather than investors and startups. The standardized format means that data within contracts is structured from inception. \r\n\r\nWe build software for managing standard contracts, accelerating sales cycles, and making the data within the contracts programmatically accessible to other business systems.\r\n\r\nTens of thousands of people have downloaded our standard contracts, and 63% of the contracts on our system close within 24 hours.",
    "one_liner": "The SAFE for commercial contracts",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1671143047,
    "tags": [
      "SaaS",
      "Open Source",
      "Sales",
      "Legal",
      "LegalTech"
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    "status": "Active",
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      "America / Canada",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/common-paper",
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    "year_founded": 2020,
    "city": "Philadelphia",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/common-paper",
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    "primary_partner": {
      "name": "Aaron Epstein",
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        "user_id": 1205428,
        "full_name": "Benjamin Garvey",
        "title": "Founder",
        "founder_bio": "CTO @ Common Paper. Formerly RJMetrics / Magento / Adobe / Betterment.  Loves charts and Twin Peaks.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bengarvey/",
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      {
        "user_id": 71220,
        "full_name": "Jake Stein",
        "title": "Founder",
        "founder_bio": "Jake Stein is co-founder and CEO of Common Paper. Previously, he was co-founder of RJMetrics (acquired by Magento, then Adobe) and Stitch (acquired by Talend). \n\nBefore RJMetrics, Jake worked in venture capital, started a landscaping business in high school, and was the 44th ranked table tennis player under 21 in New Jersey; achievements of which he is equally proud.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jakestein/",
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    "news": [
      {
        "title": "Common Paper's founders are halfway through Y Combinator's winter cohort. Here's what they've learned so far - Technical.ly",
        "url": "https://technical.ly/startups/common-paper-y-combinator/",
        "date": "Feb 27, 2023"
      },
      {
        "title": "Common Paper Launches SaaS Agreement Toolkit to Help Drive Standardisation – Artificial Lawyer",
        "url": "https://www.artificiallawyer.com/2022/12/06/common-paper-launches-saas-agreement-toolkit-to-help-drive-standardisation/",
        "date": "Dec 06, 2022"
      },
      {
        "title": "Meet Common Paper, the software startup from Jake Stein and Ben Garvey to streamline legal contracts - Technical.ly",
        "url": "https://technical.ly/software-development/common-paper-jake-stein-ben-garvey/",
        "date": "Jun 14, 2021"
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    ],
    "launches": [
      {
        "id": 99518,
        "title": "Gerri 2.0 - The AI Agent for Contracts from Common Paper",
        "tagline": "Put your redlines on autopilot",
        "body": "Most AI contract tools are built to support a single lawyer working within Word. [Gerri is built for everyone with a stake in getting a deal signed.](https://www.getgerri.ai/) \n\n2 minute intro:[ youtube.com/watch?v=QL4nIETkZnY](https://www.youtube.com/watch?v=QL4nIETkZnY) \n\n3 minute demo:[ loom.com/share/ac7906243ce340159797af888488cb6b](https://www.loom.com/share/ac7906243ce340159797af888488cb6b)\n\n**Background:**\n\nMore than 10,000 companies have used Common Paper to close deals over the past few years. While the standards have helped, we keep hearing how painful the redline process is. The root cause is that contract negotiation is a team sport, but most tools are built for one player.\n\nMost teams end up in one of two camps:\n\n* Every redline goes to the attorney, which is expensive and slows deals down\n* Redlines get triaged first, usually by someone in sales or ops, and contracts are one of 10 things they have on their plate\n\nWhat's missing is a system where AI does the first read, loops in the right people when needed, and pulls all of their feedback into a new draft that can be sent back to the other side. \n\nThat's Gerri.\n\n![uploaded image](/media/?type=post&id=99518&key=user_uploads/71220/c7e0519b-5c7b-46d2-8456-3ecbb0a4b5b4)\n\n\n**How it works:**\n\nContracts get into Gerri three ways: upload, forwarded email, or direct inbox scanning. From there:\n\n* Gerri reads every redline against your playbook and automatically accepts, rejects, or counterproposes anything it can handle\n* Anything outside the playbook gets routed to the right person. That might be legal for indemnity questions, finance for payment terms, VP of Sales for commercial terms, etc.\n* Every AI decision cites the specific playbook rule behind it; every human override is logged\n* Gerri edits the Word doc directly and can add comments in your name, explaining the reasoning to the other side\n\nGerri typically reviews contracts before you even know they've arrived. You'll open your inbox, see a contract, and find it's already been handled.\n\n**What's new in 2.0:**\n\n* 10X faster processing engine. 90% of contracts reviewed in under 3 minutes.\n* Any contract type: your paper, their paper, standard or custom agreements\n* Personality Settings: set custom instructions that guide Gerri's behavior across all contracts, without editing individual playbook rules\n* Template Improvement: Gerri analyzes your negotiation history and suggests changes to your outgoing templates that proactively reduce future redlines. The more you use it, the smarter your paper gets.\n* Optional attorney review add-on: flat fee, 4-hour turnaround guarantee, for when you need a human in the loop\n* Available as a standalone product at [getgerri.ai](http://getgerri.ai)  - No other Common Paper subscription required\n\n![uploaded image](/media/?type=post&id=99518&key=user_uploads/71220/304536b5-ce30-400e-8036-e43eb4c63ce3)\n\nTry it free at [getgerri.ai](http://getgerri.ai)",
        "url": "https://www.ycombinator.com/launches/Pt8-gerri-2-0-the-ai-agent-for-contracts-from-common-paper",
        "votes": 11,
        "created_at": "2026-04-07T16:48:35.875Z"
      },
      {
        "id": 94771,
        "title": "Gerri - The AI Agent for Contract Redlines",
        "tagline": "Get your contracts reviewed before you even realize they’re in your inbox",
        "body": "We’re Jake and Ben, co-founders of Common Paper.  We just launched Gerri, the AI agent for redlines. [Try it out here and get three contracts reviewed for free](https://commonpaper.com/product/ai-agent).\n\nhttps://www.youtube.com/watch?v=QL4nIETkZnY\n\n## Problem\n\nCommon Paper started by creating [standard agreements](https://commonpaper.com/standards/) that have been signed by more than 10,000 companies and used to close more than $100 million dollars in deals. We also make contract management software for customizing, signing, and tracking agreements with customers and partners.\n\nAs companies scale, more and more of their sales teams’ time is spent dealing with contract redlines from their customers.  After talking seeing the problem close up at countless companies, we found that most folks fall into one of two camps:\n\n* Every contract redline gets sent to their attorney, which is expensive and adds delays\n* Nothing gets sent to the attorney, and the founder, sales, ops, or other non-lawyer handles all redlines. This creates a significant risk when they don’t know what they don’t know about risks in contracts\n\nA better approach is to have AI do a first read of each contract and then triage the redlines so that as much as possible is handled automatically, and then if anything remains, assign it to the right person. That’s what we built with Gerri.\n\n## Solution\n\nThere are three ways contracts get into Gerri:\n\n* Upload\n* Forward an email with attachment\n* Have Gerri scan your team’s inboxes for redlined contracts and automatically review them as they come in\n\nOnce Gerri gets a contract, it compares it to your playbook, which contains rules about what you will and won’t accept, how you respond to asks, comments to leave in the doc, etc. Gerri includes a demo playbook to help you get started, and you can chat or answer questions to have Gerri help you generate your own custom rules.\n\nGerri then either\n\n* Responds with a clean contract that’s ready to send back to the other side.  Gerri automatically accepts, rejects, counter-proposes, and leaves comments for the other side.  \n* Flags which redlines can’t be handled automatically, and notifies the right people for them to weigh in. For example, it might be your lawyer for indemnity issues, CS lead for renewal terms, and IT for special security procedures/certifications.\n\n![uploaded image](/media/?type=post&id=94771&key=user_uploads/71220/c61e5a05-75a4-4f95-a66d-cf4f618bb057)\n\nEach time a human weighs in, they can make a decision for just this one case or have Gerri generate a rule to handle this decision going forward. \n\n![uploaded image](/media/?type=post&id=94771&key=user_uploads/71220/a1877eb9-5798-4ba5-8b31-eac429cd02b1)\n\nThe end result is your contracts get reviewed before you even realize they’re in your inbox, and deals close faster.\n\n[Check out Gerri and get three contracts reviewed for free. ](https://commonpaper.com/product/ai-agent) \n\n![uploaded image](/media/?type=post&id=94771&key=user_uploads/71220/8cd882ae-a79f-4280-8303-da34655ee66b)\n\n",
        "url": "https://www.ycombinator.com/launches/OeZ-gerri-the-ai-agent-for-contract-redlines",
        "votes": 19,
        "created_at": "2025-10-20T16:10:06.039Z"
      },
      {
        "id": 68207,
        "title": "📃 Common Paper - Faster sales with standard contracts & structured data 📃",
        "tagline": "Common Paper helps startups close deals with their customers faster and with less risk. ",
        "body": "TLDR: If you want to close deals faster/shorten your sales cycles with standardized contracts and a platform that helps eliminate back and forth, [we’d love for you to try us out](https://commonpaper.com/)!\n\n# Background\n\nWe (Jake and Ben) met while working together at a BI startup called RJMetrics. Jake was a co-founder, and Ben was an engineering leader. At that job and others, we were incredibly **frustrated by contract negotiation**. The process was filled with:\n\n* **⏳ Unpredictable delays**\n* **💰 Huge legal bills**\n* **🥽 Extremely limited visibility**\n\nWe realized that founders and go-to-market teams have many of the same problems with sales that were widespread in startup fundraising before the introduction of the SAFE. Each company has a unique sales or procurement contract (and NDA, DPA, etc).  People argue over whose template to use, and **no matter who wins that argument, one side of the deal has to review and negotiate a new contract for the first time**.\n\nThe same basic ideas show up in all contracts about a given type of transaction, but they are expressed totally differently.  As an example, take governing law, one of the simplest terms in most contracts.  These are real examples from four contracts, showing four different ways describe governing law:\n\n![uploaded image](/media/?type=post&id=68207&key=user_uploads/71220/b869c8db-5099-478e-855d-b34c5b28bf55)\n\n# Standard Contracts & Structured Data\n\nTo solve this, we looked to the SAFE and other widely used contracts for inspiration and created standard, open-source contracts for buying and selling software, including:\n\n* [Design Partner Agreement](https://commonpaper.com/standards/design-partner-agreement/)\n* [Mutual NDA](https://commonpaper.com/standards/mutual-nda/)\n* [Terms of Service](https://commonpaper.com/standards/terms-of-service/)\n* [Cloud Service Agreement](https://commonpaper.com/standards/cloud-service-agreement/) \n* [Data Processing Agreement](https://commonpaper.com/standards/data-processing-agreement/), [Service Level Agreement](https://commonpaper.com/standards/service-level-agreement/), and more\n\nThese contracts have been downloaded by thousands of companies, are created by a committee of attorneys, and are free to use under a Creative Commons license. \n\n![uploaded image](/media/?type=post&id=68207&key=user_uploads/71220/bc9fd4c5-56c8-48ed-8ab2-dd024fa5b974)\n\nUsing standard contracts reduces back and forth, accelerates sales cycles, and makes it easier for everyone involved to understand what the contracts actually mean.\n\nIn addition to the contracts themselves, we’ve built a new kind of [contract management platform](https://commonpaper.com/product/) for startups.  It makes automation, negotiation, and programmatic access to contract data all way faster and easier than ever before. These kinds of tools have traditionally been built for managing unstructured text, and we’ve built Common Paper on top of the **standards and structured data**. \n\n**⌚ 63% of the deals on our platform close within 24 hours ⏲️**\n\nWe also built the [SaaS Agreement Toolkit](https://commonpaper.com/resources/saas-agreement-toolkit), which combines the standard agreements with step by step guides to help founders:\n\n* Choose which contracts to use based on their stage and business model\n* Understand the meaning of different terms within the contracts\n\nThe toolkit also includes a benchmark report based on the real contracts of more than 150 companies, with data on what positions are most common and how different terms influence the odds of getting your contract signed.\n\n![uploaded image](/media/?type=post&id=68207&key=user_uploads/71220/b4ae10b3-d5bf-4439-b700-df82cb92e521)\n\nIf you want to shorten your sales cycle, save money, and reduce risk with standardized contracts and a platform that helps eliminate back and forth, [we’d love for you to try us out](https://commonpaper.com/)!",
        "url": "https://www.ycombinator.com/launches/Hk7-common-paper-faster-sales-with-standard-contracts-structured-data",
        "votes": 63,
        "created_at": "2023-01-05T15:31:08.561Z"
      }
    ]
  },
  {
    "id": 28096,
    "name": "OpenInt",
    "slug": "openint",
    "former_names": [
      "Map3",
      "Ally",
      "Evefan"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67a1ff68627d7db644256cf5b89e938213258bed.png",
    "website": "https://openint.dev",
    "all_locations": "Remote",
    "long_description": "OpenInt helps teams ship product integrations in hours, not weeks, using no or low code. Read and write data using unified APIs or sync it straight to your database. ",
    "one_liner": "Open Source Embedded Product Integrations",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1673267479,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Open Source",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/openint",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/openint.json",
    "year_founded": 2022,
    "city": null,
    "country": null,
    "linkedin_url": "",
    "x_url": "https://x.com/openintdev",
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    "github_url": "https://github.com/evefancom/evefan",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 702191,
        "full_name": "Amadeo Pellicce",
        "title": "Founder/CEO",
        "founder_bio": "Founded OpenInt (W23), acquired by Replit (W18). Investor in YC startups via https://www.batch.ventures/yc-fund. \n\nHe has an MS in Computer Science. In 2013, he co-founded the UK’s first professional crypto exchange, Coinfloor (which was acquired). Subsequently, he led multiple product areas at Blockchain.com before founding Openint (W23), which was acquired by Replit (W18). Outside of work, Amadeo enjoys wind sports and long-distance running.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/amadeopellicce/",
        "x_url": "https://twitter.com/amapel",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c26d90c3c78011d8eb992e9ba00248ce44935f55.jpg"
      },
      {
        "user_id": 733318,
        "full_name": "Philip London",
        "title": "Founder",
        "founder_bio": "Phil is a co-founder and Lead Engineer at Map3. Before Map3, he worked at Blockchain.com as Staff Engineer on the non-custodial Wallet team, which served over 30 million users and over 1/3 of all bitcoin transactions. Phil also founded codeamigo.dev, which helps developers level up their coding skills and reached #1 on Hacker News when it launched.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/philiplondon",
        "x_url": "https://twitter.com/plondon514",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/745af5d7af866c9f2a26aa0a2867494080798251.jpg"
      },
      {
        "user_id": 32370,
        "full_name": "Mark Pfluger",
        "title": "Founder",
        "founder_bio": "Mark is the co-founder and CTO of Map3. Previously he worked at Blockchain.com as Head of Crypto Engineering, where he built and ran multiple engineering teams, contributed to the non-custodial wallet across all platforms (iOS, Android and Web), and led the effort to build the custody infrastructure across both Hot and Cold systems. Originally from Munich, Germany, Mark has been an entrepreneur since high school and holds a Master's degree in Computer Science.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/mark-pfluger-14734650/",
        "x_url": "https://twitter.com/markpfluger",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8b530687f196e9010469ae59262764979ea4cae.jpg"
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    "launches": [
      {
        "id": 83175,
        "title": "⭐️ Evefan — Self-hosted Segment alternative — 99% savings w/ Cloudflare Workers (OSS)",
        "tagline": "Self-host your own internet scale events infrastructure.",
        "body": "**TLDR;** Evefan enables developers to privately capture, transform, and deliver customer events at internet scale. Evefan is open source and self-hosted on Cloudflare workers. It can be configured either via our Evefan Console or via Wrangler. With Evefan, organizations can save > 99% when scaling events.\n\n**Need help scaling events**? Let’s talk! <https://cal.com/amadeo-evefan>\n\n![uploaded image](/media/?type=post&id=83175&key=user_uploads/702191/93a130d5-d424-4400-aa4b-cf7b7873e01c)\n\n### ❌ Problem: Scaling Customer Events IS HARD\n\nBefore joining YC, I led a large portion of the Blockchain.com consumer product. At the time, we had the most popular crypto wallet with over 60M accounts. We only made money on a subset of users who used our ‘premium’ features. \n\nAs a result, **we could not afford to understand how free users used our product**. We got seven-figure quotes (😱) from the top vendors in the Customer Data Platform (CDP) space and tried to self-host several alternatives. Imagine a PM team considering whether adding an event is worth XXXX dollars. Silly. \n\nAll the products we self-hosted then fell over at our scale. We had to build our own, more narrow version for our use case. There’s a reason for it—you could even say that it’s a dark industry secret.\n\n**😭 Self-Hosting Is Meant To Be Practical**\n\nExisting OSS alternatives in the market are all built with massive multitenancy in mind. **They’re not meant to be practically self-hosted**. Most of them tell you in their docs to only self-host for toy projects or require overly expensive closed source ‘high availability’ add-ons that they can only configure for them to work correctly. That’s OK; they serve a different use case. \n\nLook at the architecture of the top self-hostable alternatives in the space. Imagine asking your SRE team to ‘simply’ set these up and keep them highly available (even with Docker & Kubernetes, it's not core work).\n\n![uploaded image](/media/?type=post&id=83175&key=user_uploads/702191/e695acc0-3cd3-4580-9e0e-38cfdcc543ac)\n\n### ⭐️ The Solution: Evefan\n\n1. **Segment compatible**: this means you can use the battle-tested Segment SDKs in your preferred programming language.\n2. **Deploy to Cloudflare**: Configure Evefan instance via our console with your Cloudflare API key or yourself via Wrangler. Evefan will create a bundle with just your destinations small enough to run on Cloudflare. \n3. **Transform and Deliver To Your Destinations**: We’ve made Bigquery and Postgres work so far. We also added Mixpanel just for fun. We’ve reviewed the top data warehouses and are confident we will natively support them.\n\nOver time, Evefan will become an indispensable part of your async events delivery infrastructure. Use cases like in-and-out webhooks, queues, pub-sub, and jobs are coming! \n\n![uploaded image](/media/?type=post&id=83175&key=user_uploads/702191/6a355a35-8aa4-4410-8701-72aef7a364e0)\n\n**😻 It’s 99% Cheaper Than Alternatives & Built For Scale**\n\nHere’s why: We follow a Bring Your Own Compute (BYOC) model. When Evefan runs in your infra, it roughly incurs $70 of Cloudflare worker compute for every 100 million events processed. This is 99.5% cheaper than Segment and similar alternatives! Of course, price is not the only reason people self-host. In Finance and Healthcare, for example, it is often the only practical option.\n\n### 🙌 Our Asks\n\n1. **Please Star** our Github repo ⭐️<https://github.com/evefancom/evefan>   \n2. **Let's Partner**: We’ve been working with our first two design partners and are searching for our next three! Does your organization process over 10M monthly events and struggle to scale? Let’s chat! <https://cal.com/amadeo-evefan>\n\n![uploaded image](/media/?type=post&id=83175&key=user_uploads/702191/2c6b777e-4227-4b61-b4b2-5d4e0b270ba1)\n\n",
        "url": "https://www.ycombinator.com/launches/LdX-evefan-self-hosted-segment-alternative-99-savings-w-cloudflare-workers-oss",
        "votes": 21,
        "created_at": "2024-08-19T16:12:51.893Z"
      }
    ]
  },
  {
    "id": 28098,
    "name": "Resend",
    "slug": "resend",
    "former_names": [
      "Klotty",
      "Resend (fka Klotty)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ae1f42156169b5811f9a7efe6cce76305167d38.png",
    "website": "https://resend.com",
    "all_locations": "Remote",
    "long_description": "Resend is the new email API for developers. It's designed for you to build, test, and send transactional emails at scale.\r\n\r\nIf you're using Sendgrid, AWS SES, or Postmark, come talk to us.",
    "one_liner": "Email for developers",
    "team_size": 45,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1675214257,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/resend",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/resend.json",
    "year_founded": 2023,
    "city": null,
    "country": null,
    "linkedin_url": "https://linkedin.com/company/resend",
    "x_url": "https://x.com/resend",
    "fb_url": null,
    "cb_url": "https://crunchbase.com/organization/resend",
    "github_url": "https://github.com/resend",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ae1f42156169b5811f9a7efe6cce76305167d38.png",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 360041,
        "full_name": "Zeno Rocha",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at Resend.\n\nPreviously VP of Developer Experience at WorkOS and CPO at Liferay Cloud. I'm originally from Brazil and now living in San Francisco.\n\nI love dark mode, open source, and side projects.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zenorocha/",
        "x_url": "https://x.com/zenorocha",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8be58137b9e1f4decb1102e7796df1b7bd5a7443.jpg"
      },
      {
        "user_id": 715890,
        "full_name": "Bu Kinoshita",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO at Resend and building react.email.\n\n1st eng hire at WorkOS, which is now a Series B company valued at $500M. Built the first MVP and scaled it all the way to serve 200+ b2b sass customers. Also built more than 100 node packages and 2 products that were OSS, Taskr and Secret, which were featured in the #1 and #4 on Product Hunt",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bkinoshita",
        "x_url": "https://twitter.com/bukinoshita",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1715ba918140f0b528a8bd0108b829f83412515e.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Resend raises $18M Series A",
        "url": "https://resend.com/blog/series-a",
        "date": "Dec 04, 2024"
      },
      {
        "title": "Developer-focused email platform Resend raises $3M | TechCrunch",
        "url": "https://techcrunch.com/2023/07/18/developer-focused-email-platform-resend-raises-3m/",
        "date": "Jul 18, 2023"
      }
    ],
    "launches": [
      {
        "id": 69586,
        "title": "Resend - Email API for developers",
        "tagline": "Send better emails that don't land in the spam folder",
        "body": "Hey, this is [Bu](https://twitter.com/bukinoshita) and [Zeno](https://twitter.com/zenorocha) from [Resend](https://resend.com).\n\nWe're building a modern email sending platform focused on providing the best developer experience and making sure that your emails don't go to spam.\n\nWe launched [7 weeks ago](https://twitter.com/zenorocha/status/1610655123063336961), and already have 6,469 people on the waitlist.\n\nPaul Graham described Resend as _“the Stripe for Email”_.\n\n![uploaded image](/media/?type=post&id=69586&key=user_uploads/360041/192c898e-24c0-470f-b5df-673f0b2ead56)\n\n### **problem**\n\nEmail sending is the kind of thing that you should integrate and forget it, but instead you have…\n\n* **Emails going to spam**: All too often emails are marked as spam even when they are legit. We believe that deliverability is a shared responsibility between the customer and the service provider, which means we work together with you to maximize email deliverability.\n* **Poor observability**: Most tools keep you in the dark without knowing what really happened after you sent an email. Resend exposes all the events associated with your email.\n* **Slow performance**: Current solutions only offer a single region for email sending (us-east-1), even when all your end users are located in another part of the world. Starting next week, we'll allow you to choose what region your emails should be sent from (Europe, LATAM, or APAC) which minimizes latency and improves time-to-inbox.\n* **Templates that users don't engage**: Startup teams don't have time the time to learn all the nuances of email development. We're offering a white glove service to help you implement a template that can generate better results.\n* **Designed for marketers only**: Existing solutions are too generic and built exclusively for product marketers and product managers. We're building a developer-first platform with a clean REST API and SDKs for Node.js, Python, Ruby, Elixir, Go, and Java.\n\nWe need to stop developing emails like it’s 2010 and rethink how email can be done in 2023 and beyond.\n\nWe believe that email development needs a revamp. A renovation. Modernized for the way we build apps today.\n\n![uploaded image](/media/?type=post&id=69586&key=user_uploads/360041/872480cd-c678-494c-b479-310d6eeb90a5)\n\n### **solution**\n\nTypically, you can only send email using HTML or plain text. Although we support both, we're introducing a new way of developing and sending your emails.\n\nWith Resend you can code your email using React instead of outdated HTML layouts thanks to our open source project [react.email](http://react.email) (5.1k stars on GitHub).\n\nWhen you're ready to send, you just need to import the component, change the props, and you're done.\n\nAfter sending, you can see the end result and look at how your users received that email.\n\n![uploaded image](/media/?type=post&id=69586&key=user_uploads/360041/05c80ce8-0a53-4fe9-9b75-8a8fd11d0be1)\n\n### **why us**\n\nWhen I was a CPO at [Liferay](https://liferay.com/), I faced the problem of sending emails at scale.\n\nWe had high-profile customers complaining about deliverability, and I've been frustrated with existing services ever since.\n\nMore recently, as a VP of Developer Experience at [WorkOS](https://workos.com/), I once again had to deal with emails landing in the spam folder.\n\nAfter looking at all the different solutions out there, I've been obsessed with the idea of solving this problem once and for all.\n\n### **our asks**\n\n* **Share** - talk to your friends and colleagues about Resend\n* **Connect** - ping me at [zeno@resend.com](mailto:zeno@resend.com) if you want to chat more\n* **YC companies** - you can skip the 6,469 people waitlist using the [secret link](https://resend.com/secret?ref=launchyc)",
        "url": "https://www.ycombinator.com/launches/I6M-resend-email-api-for-developers",
        "votes": 179,
        "created_at": "2023-02-23T14:44:43.968Z"
      }
    ]
  },
  {
    "id": 28099,
    "name": "Unstatiq",
    "slug": "unstatiq",
    "former_names": [
      "Metahub (Undecided)",
      "Metahub"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ab6c0b2089b8ff3c6420e7f4f703ae0322fb997.png",
    "website": "https://www.unstatiq.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "There are billions of dollars of hospital waste caused by inefficient, disconnected supply chains and finance data. Today, clinics are facing unprecedented backorders, recalls, and purchase verticals (medical devices, SaaS, security, commodities). We are building a single product to 10x a fragmented industry with each tool built almost 20 years ago.",
    "one_liner": "Single source of truth for your clinic's finances and supply chain.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1675048534,
    "tags": [
      "Health Tech",
      "Finance",
      "B2B",
      "Supply Chain"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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      {
        "title": "Meet the founders of Fern: CEO Danny Sheridan and CTO Deep Singhvi - Bessemer Venture Partners",
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        "id": 83851,
        "title": "Fern Docs: Developer-friendly API Docs",
        "tagline": "Build a \"Stripe-level\" docs website powered by OpenAPI",
        "body": "**_TL;DR_** [Fern Docs](https://buildwithfern.com/) is a static site generator for developer-focused companies to build and host their docs site. It’s the answer to the question:\n\n> **How do we make it easy to build a documentation website that looks as good as Stripe’s?**\n\nCheck out [Cohere’s Docs](https://docs.cohere.com/) built with Fern:\n\n![uploaded image](/media/?type=post&id=83851&key=user_uploads/1214945/1012ebb6-ebf7-4c68-a355-c0e48fb3de4e)\n\n![uploaded image](/media/?type=post&id=83851&key=user_uploads/1214945/2af9415a-59a0-4f97-bfa9-7ff954ecf162)\n\n# The Problem\n\n[Stripe.com](http://Stripe.com) is known for having the best documentation in the world. How do you make it easy for anyone to build a Stripe-level API documentation website?\n\n# The Solution\n\nFirst, we broke down Stripe’s Docs to determine why everyone loves them so much. Then, we studied popular documentation tools, including ReadMe, Docusaurus, Redocly, GitBook, Mintlify, and MkDocs. \\\n**We took the best parts of each.**\n\n### Key features\n\n* **Docs-as-code**: version your documentation like you version code. We support Markdown or MDX, so you can use GitHub, VS Code, and all the workflows you’re already familiar with.\n* **Powered by OpenAPI**: upload your OpenAPI Specification (fka Swagger) and get your API Reference auto-generated.\n* **API Playground:** let users try your API without leaving your docs. They can even sign in to auto-populate their API credentials. Time to {200} has never been faster.\n* **SDK Snippets:** demonstrate how to call an API using an SDK. The code snippets are auto-updated as your SDKs evolve.\n* **Professional design:** your docs represent your engineering quality. Match your brand identity, including colors, logos, fonts, and (of course) light & dark modes.\n* **Component library:** UI components that make your docs polished. If you’d prefer, bring your own React components.\n\n# Get a Preview of Your Docs\n\nWant to see what your docs look like in Fern? [**Request a tailored demo**](https://buildwithfern.com/contact?utm_medium=web&utm_source=launch-yc&utm_campaign=fern-docs) and mention “Launch YC.”\n\n# Start Building Self-Service\n\nReady to get started building your docs? Follow the [quickstart guide](https://buildwithfern.com/learn/docs/getting-started/quickstart) to spin up a docs site in under 15 minutes.",
        "url": "https://www.ycombinator.com/launches/LoR-fern-docs-developer-friendly-api-docs",
        "votes": 1266,
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        "id": 69195,
        "title": "Fern - SDKs for your API ⚡",
        "tagline": "Auto-generate your client libraries, API reference, and server code",
        "body": "**TLDR**: Fern generates useful artifacts for your API, like SDKs, docs, and server code. [Star us on GitHub! ⭐](https://github.com/fern-api/fern)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/858d9c67-1fb0-4dc2-8e3b-53c2c1db216f)\n\n_Steve Yazicioglu, Head of Engineering at Candid Health (Series A)_\n\n### **Problem**\n\nWhen building APIs, we spent a lot of our time doing things like:\n\n* Writing types & networking logic on the backend\n* Communicating details of the API endpoints over Slack\n* Re-writing the _same_ types & networking logic on the frontend\n* Re-writing the _same_ types & networking logic in each SDK or client library\n* Re-writing the _same_ information in our docs & Postman Collection\n\nInevitably, these multiple sources of truth get out of sync, causing runtime bugs, wasted hours of debugging, and frustration.\n\n### **Solution**\n\n[Fern](https://www.buildwithfern.com/) productizes schema-first API design. You define the schema of your API (or give us an OpenAPI spec) and we generate:\n\n* **SDKs** in popular programming languages. Our SDKs feel handwritten. They can be used externally for customers or internally for your frontend/microservices.\n* **API docs** that sync to your provider of choice.\n* **Postman Collection** complete with examples of successful and unsuccessful requests\n* **Server-side validation** to make sure that you serve the API you promised.\n\nFern also registers all versions of your API in a registry — no need to ping a coworker over Slack to understand how to consume an API.\n\nWith love [💌](https://emojipedia.org/love-letter/),\\\nTeam Fern 🌿 (Deep, and Danny)\n\n### **Our asks**\n\n* Star us on [GitHub!](https://github.com/fern-api/fern)\n* Read our [blog](https://buildwithfern.substack.com/p/how-candid-sped-up-api-development) about how Candid Health uses Fern\n* Book a demo at [www.buildwithfern.com](http://www.buildwithfern.com)\n\n### **What our users are saying**\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/56c46bce-4a1b-4a2d-9ee2-3d6b09fdf6af)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/73910b0a-164f-47b9-9fb1-60bae68ec410)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/2bde4130-4d50-41b1-93dc-99d65387513b)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/2dafe8b2-bc05-4f37-9eaa-a207604186dc)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/f81f7cfa-ec25-4da5-bbcb-4fe1930b84e9)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/39bc2305-633a-414b-a800-57a959b4dbc0)\n\n",
        "url": "https://www.ycombinator.com/launches/I03-fern-sdks-for-your-api",
        "votes": 58,
        "created_at": "2023-02-10T17:18:52.681Z"
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      {
        "id": 70198,
        "title": "SuperAPI - Make all your fetch APIs cacheable",
        "tagline": "We help make your APIs much faster by making them cacheable ",
        "body": "### **✨ TL;DR**\n\nSuperAPI is a programmable API gateway that makes all your fetch APIs cacheable, and makes sure your cached API responses never goes stale.\n\nHey everyone - it’s Aditya and Adithya here introducing **SuperAPI**.\\\n\\\n—\n\n### **🤯 Problem**\n\nA lot of application APIs are considered non-cacheable either because:\n\n1. the underlying data changes frequently\n2. they use GraphQL making it difficult to cache\n3. they’re REST APIs that fetch using POST because they have their search parameters within the body\n\nMost applications in this situation do not cache their API responses, and end up serving APIs with a high latency, or setup multiple clusters close to their users to give them low latencies.\n\n# **💡 Solution**\n\nSuperAPI makes such APIs cacheable by monitoring your incoming **POST / PUT / PATCH** API calls, and your database updates to invalidate stale data and keep your API cache fresh.\n\nBecause we listen to your database changes, SuperAPI can also update your cache in-place. This means, any updates in your database will only modify the relevant portions of your cached API responses.\n\nThis reduces the amount of computations on your database & compute instances, helping reduce your cloud spend.\n\n# **🚀 How does SuperAPI work?**\n\nSuperAPI can either be deployed as a separate API gateway, or can run on top of other caching providers like **Cloudflare & Cloudfront.**\n\nThis API gateway listens to all incoming update API calls (POST / PUT / PATCH), and invalidates any API cache that could go stale as a result of this incoming update API call.\n\nWe also have a tiny docker container running within your network that listens to your database updates (using the replication stream or database triggers), which helps us catch any invalidations coming from internal cron jobs & batch processes.\n\nRead more about how SuperAPI works [here](https://trysuperapi.com/blog/how-does-superapi-work-clet0rvf1446071ko73x4q6qtr).\n\n![uploaded image](/media/?type=post&id=70198&key=user_uploads/11606/c7fdb60e-043e-49d6-b23b-e6123de076e6)\n\n# **📜 How did we get here?**\n\nBoth of us founders worked together at a Tiger Global backed Indian tech company before starting on SuperAPI.\n\nI was the first engineer there, and built out majority of the product & platform for the first couple of years. For the next 2 years, I was heading the engineering team, growing the team from 6 engineers to \\~55 engineers, designers & PMs.\n\nAditya was heading the platform engineering team, where he built a majority of the infrastructure to scale the platform and bring down the API latencies to less than 50ms.\n\nWe’ve been obsessed with API latencies since our time working together, and are using a lot of learnings from back then to build out SuperAPI.\n\n# ❓ **Asks**\n\nIf you are looking to **reduce your API latencies**, let’s talk. Drop us a note at: [founders@trysuperapi.com](mailto:founders@trysuperapi.com).",
        "url": "https://www.ycombinator.com/launches/IGE-superapi-make-all-your-fetch-apis-cacheable",
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        "id": 81056,
        "title": "CodeParrot AI: Ship stunning UI lightning fast ⚡",
        "tagline": "Transform Figma files to production-ready code. Build web and mobile apps in days, not months.",
        "body": "**tl;dr:** If you want to build a good UI faster, then [CodeParrot](https://www.codeparrot.ai/) is the product for you. It’s a vscode plugin where you specify your Figma component, share your code preferences, and voila! Don’t skimp on a good user interface; it’s the first impression you don’t get to make twice! Try it [here](https://marketplace.visualstudio.com/items?itemName=CodeParrot-ai.codeParrot).\n\n—\n\nHi, we are **Royal** and **Vedant**. We have worked as CTOs and EMs and started CodeParrot with a mission to improve developer productivity and happiness!\n\n![uploaded image](/media/?type=post&id=81056&key=user_uploads/329126/bf10e92c-2a6e-442f-a81a-3343bca809e6)\n\n[Royal](https://www.linkedin.com/in/royal-jain) (on the right) loves computer networking and building compilers. Talk to me about all things computer science and football (soccer for some of you)    \n\n[Vedant](https://www.linkedin.com/in/vedantsopinions) (on the left) loves building efficient user interfaces and cryptography (eth) and has OCD with coding practices. \n\n### ⚠️ Problem\n\nShipping fast often comes with cutting corners. When you cut too many corners, you end up going in circles. Just look at our old website \n\n![uploaded image](/media/?type=post&id=81056&key=user_uploads/329126/ada2d484-ada0-4248-a058-938611a65d31)\n\nwhich we are now changing to\n\n![uploaded image](/media/?type=post&id=81056&key=user_uploads/329126/b4c42892-e730-4845-9dfc-8834ceb0cdb5)\n\nBuilding a really good-looking product is hard! And with so many products out there, the user expectations have never been higher.\n\n### ⚡ Solution\n\nCodeParrot converts Figma Designs and screenshots to production-ready code. Why choose us?\\\n\\\n**We understand Figma** - we parse your Figma file to extract layout, style, and semantic information to give the most accurate results.\n\n![uploaded image](/media/?type=post&id=81056&key=user_uploads/329126/11a99a0f-9b33-42e6-aa89-9002971deb94)\n\n**We know you have code preferences** - specify how you like your code exactly. Only once.\n\n![uploaded image](/media/?type=post&id=81056&key=user_uploads/329126/9966735b-534c-4045-809a-a181061b74b4)\n\n**We build on your existing work** and reuse your existing components, libraries, and coding standards. \n\n![uploaded image](/media/?type=post&id=81056&key=user_uploads/329126/badbb145-a7e1-42e3-ba37-0f4ccd119f38)\n\nAll aligned to a single goal to help developers build stunning UI lightning fast ⚡️\n\n### Getting started\n\nSimply install the product from [vscode marketplace](https://marketplace.visualstudio.com/items?itemName=CodeParrot-ai.codeParrot). Join our [discord](https://discord.gg/pX3Mbghevg) for feature requests and more!",
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        "body": "**TL;DR** [CodeParrot](https://www.codeparrot.ai/) uses production traffic to generate intelligent test cases. What’s more? It can mock downstream dependencies like databases, external APIs, so you don’t need to set up a test environment to run these tests. If this sounds useful, **book a demo** [**here**](https://calendly.com/royaljain0203/30min) to learn more **📅**\n\n**About Us**\n\nHello everyone! We’re Royal and Vedant and we couldn’t be more thrilled to introduce CodeParrot to our fellow devs!\n\n**Problem**\\\nNobody likes writing tests. Why? Additional work, needs maintenance, requires setting up test environments, mocking 😩. What's there to like?\n\n**Solution**\\\nCodeparrot captures API calls from the production environment - both requests made to your backend service and downstream calls which the service makes (like database calls, third party APIs etc). This data is used to generate test cases.\n\n![uploaded image](/media/?type=post&id=69620&key=user_uploads/329126/592ba381-8fa6-4d0b-9fdf-57c3aa0626d2)\n\nWhenever the service is updated, we run the service in an isolated container. We replay the test cases and compare the responses with the responses captured in production. All the downstream services are mocked and regressions are highlighted to the developers. Sounds Interesting? Checkout our [Demo Video](https://www.loom.com/share/dd6c12e23ceb43f587814a2fbc165c1f).\n\n![uploaded image](/media/?type=post&id=69620&key=user_uploads/329126/0519dc8a-d821-42ea-bd60-f13a0e79ca67)\n\nCodeparrot is a auto-updating test suite for your backend services.\n\n**Our Ask - Give us a chance 🚀**\n\nWe want you! Interested in CodeParrot’s solution? Contact us at [royal@codeparrot.ai](mailto:royal@codeparrot.ai) or book a [demo](https://calendly.com/royaljain0203/30min) here",
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        "tagline": "Describe a boring ops task and get a working AI agent in minutes",
        "body": "**TL;DR: Today, we’re launching Vellum for Agents;** an agent builder that takes a plain description of what you want to automate and asks follow up questions to understand your needs. It connects to your tools, handles the logic, and shows you exactly what the agent is doing so you are never guessing why or how it works. To celebrate our launch we’ll be giving away free credits for everyone who signs up today (worth $100). Launch video [here](https://www.youtube.com/watch?v=72TU43fauo4).\n\nWe’re a W23 company with deep experience running AI in production. We’ve built AI tooling used by teams at Drata, Redfin, Seeking Alpha, Headspace, and Swisscom to launch and operate real AI solutions.\n\n_That experience led us here._\n\nToday, we’re sharing a new version of Vellum, an agent builder for ops teams. You describe the task you want to automate, and Vellum gives you a working agent in minutes. It asks follow up questions, connects to your tools, handles the logic, and shows you exactly what the agent is doing at every step, so there is no guesswork.\n\n## Common problems on using AI agents\n\nIn 2025 I watched as our engineering team gained superpowers. Coding agents like Devin, Claude Code, Cursor seemed to move them to a whole new level. By end of year, 40% of the work was done by agents and their productivity is up 2.5x.\n\nThat impact never really reached the rest of the company.For those of us who are not engineers, getting started with agents is still hard.\n\nWhile the models are good enough to help with Ops, Finance, Sales, and Marketing tasks, there are frequent challenges that we’ve observed:\n\n* Too many off-the-shelf tools that almost work, but break in specific edge cases\n* Prompts you tweak over and over, but still do not fully trust\n* Logic that becomes hard to manage in drag and drop builders\n* Little guidance on what is actually possible with agents\n* A lot of technical setup, before anything feels useful\n\n**_There is a huge drop off in the agent adoption funnel and we’re here to fix it._**\n\n## The solution\n\nToday we’re excited to launch the new version of Vellum.\n\nJust explain the task you want to automate and Vellum turns it into a working agent (like Lovable for agents). Vellum will ask follow-up questions to understand what you need and connect to your tools. It handles the logic and makes the agent’s behavior visible, so you’re never guessing what it’s doing or why.\n\n### Agent: Getting from 0 to 1\n\nOnce you give Vellum your prompt, it asks a few follow up questions and builds a plan. For some use cases, it will ask which apps to connect and confirm access. When it has everything it needs, it creates the first version of the workflow:\n\n![uploaded image](/media/?type=post&id=96757&key=user_uploads/1020427/aea05991-1a72-42a9-9f21-f803c82a3616)\n\n### Console: Access run and output details\n\nAfter you have the first version of your agent, you get a UI that shows exactly how it works and what it does on each run. You can keep refining it with help from the agent itself, whether that’s improving prompts, adding new tools, or adjusting the logic.\n\nTo then test your changes, you can run the agent directly from the UI and inspect every decision it makes, like which tools it calls, when it decides to run a web search, and how it arrives at the final output.\n\nWe believe our agent logic is among the most reliable out there, and teams reach a working setup much faster compared to other agent builders.\n\n![uploaded image](/media/?type=post&id=96757&key=user_uploads/1020427/8c4b97e9-0e04-4920-9719-2ef967d6c74e)\n\n### Interact: Run manually, via triggers, API or code\n\nOnce you’re happy with how your agent works, you have a few ways to use it. Depending on your use case, you can choose one of the following:\n\n* run the agent through a ready made UI\n* vibe code your own UI with one of our integrations (e.g. Lovable)\n* run it on a schedule or trigger it through APIs or app events\n\n![uploaded image](/media/?type=post&id=96757&key=user_uploads/1020427/77309dfb-ba7c-406d-b4ed-a38aa9d440f2)\n\n## Most common use-cases\n\nIf you want to try Vellum today, here are the common agent automations we’ve seen ops teams build:\n\n* **Content generation:** Agents around SEO and GEO keyword research, content analysis, and daily content creation.\n* **Sales ops automation:** This is where we’ve seen the most use cases in the last few months. From automated demo prep, to pulling account intelligence from CRMs, to analyzing sales calls and deals.\n* **Product ops:** Agents can reliably analyze support tickets and Linear issues, then ping the right DRIs to move things forward.\n* **Customer support:** This is where agents really shine today. They can classify all incoming tickets and surface insights, like the best timing for renewals, automatically.\n\n## What we ask\n\n1. **If you have one gnarly task that you’ve been putting out** we ask you to login to Vellum and try to automate it. Share your feedback in this thread or text me at [akash@vellum.ai](mailto:akash@vellum.ai)\n2. **Do any of these problems resonate with you?** Please share your experience in creating agents to automate your tasks. We would love to learn more!",
        "url": "https://www.ycombinator.com/launches/PAb-vellum-for-agents",
        "votes": 12,
        "created_at": "2026-01-14T17:26:33.481Z"
      },
      {
        "id": 74014,
        "title": "Vellum Workflows – Quickly prototype and deploy AI chains",
        "tagline": "Quickly prototype, deploy, and manage complex chains of LLM calls and the business logic that tie them together.",
        "body": "Hello hello! We’re Noa Flaherty, Akash Sharma, and Sidd Seethepalli from [Vellum](https://www.vellum.ai/).\n\n**Tl;dr** \"Workflows\" is a new product in Vellum's LLM dev platform that helps you quickly prototype, deploy, and manage complex chains of LLM calls and the business logic that tie them together. We solve the \"whack-a-mole\" problem encountered by companies that use popular open source frameworks to build AI applications, but are scared to make changes for fear of introducing regressions in production.\n\n**The Problem 😰: Many AI use-cases require chains of prompts, but experimentation and productionization of complex chains is hard.**\n\nWe have helped dozens of customers take their AI prototypes to production by delivering tools for efficient prompt engineering, tightly integrated semantic search, prompt versioning, and performance monitoring. However, as the AI industry matures, we’ve found that more and more real-world use-cases require multi-step flows across actions like semantic search, multiple prompts/LLM calls, and bespoke business logic.\n\nFor example, if building a customer-support chatbot, you may want to:\n\n1. Use a fast, low-cost, model to categorize an incoming user question\n2. Depending on the categorization, query against a different index in a vector store to return relevant context about how to answer the question\n3. Feed that context into a prompt that’s been tuned to answer accurately about that topic\n4. Feed the output of that prompt into another that rephrases using your brand voice\n5. Finally, return the answer to your end user\n\nUnfortunately, existing tools and frameworks don’t make it easy to:\n\n1. Rapidly experiment with these chains both step-by-step and end-to-end – especially if you’re non-technical\n2. Make changes with confidence once in production and avoid regressions\n3. Gain visibility into the performance of the system both as a whole, and at each step in the chain\n\n**The Solution 🤤: A fully managed platform for experimenting with, deploying, and managing AI workflows that power your app**\n\nVellum Workflows provides a low-code UI for experimenting with and deploying LLM workflows to power features in your app.\n\nYou can construct a workflow using different “Nodes,” define “Input Variables” to the workflow, their values across different “Scenarios” and run with a single click to see the output at each step along the way.\n\n![uploaded image](/media/?type=post&id=74014&key=user_uploads/1213437/1d62e723-3e99-4eb5-b4bd-5b4eef082579)\n\n_Shown here is one of the workflows used in production by a customer of ours, Miri Health, for powering their health & wellness AI chatbot._\n\nYou get immediate feedback on whether your chain/prompts perform the way you expect without having to edit code, inspect console logs, or hop between browser tabs. You can validate that your workflow does what it should across a variety of scenarios / test cases.\n\nOnce you’re happy, you can deploy the Workflow directly in Vellum and invoke it through an API via Vellum’s python/node SDKs. Events for nodes that you subscribe to are streamed back using [Server-Sent Events](https://www.w3schools.com/html/html5_serversentevents.asp).\n\n![uploaded image](/media/?type=post&id=74014&key=user_uploads/1213437/18a82c70-6ee8-4cde-af75-183014f838a0)\n\n_Invoke a workflow via a simple API. Use our officially supported python and node sdks, or roll your own._\n\nBy deploying your Workflow through Vellum, you can:\n\n* Mix and match models from different providers without having to integrate with each. Use the best prompt/mode for the job!\n* Have a production-ready backend in minutes without having to write, maintain, and host complex code and orchestration logic\n* Version your Workflow, see changes over time, and revert with one click\n* Get full observability into the production system, viewing inputs, outputs, timestamps, and more for the workflow as a whole, as well as each Node along the way.\n* Use role-based access control to determine which team members are allowed to experiment vs update production deployments\n\nMonitor how your workflows are performing in production, with the ability to inspect the inputs/outputs of the workflow as a whole, as well as each step in the chain.\n\n![uploaded image](/media/?type=post&id=74014&key=user_uploads/1213437/da276020-b865-472f-a569-c767320a5667)\n\n**Looking Ahead**\n\nThis is just the beginning! Our beta customers are already asking for things like:\n\n* A/B testing workflows for live experimentation\n* Test suites for evaluating that workflows are doing what they should and don’t break after an “improvement” is made\n* Composability via nested workflows\n* More node types for executing code, making calls to 3rd party APIs, etc.\n\n**Why Vellum?**\n\nOur focus to date has been to provide robust building blocks for creating production-ready AI applications. We’ve seen our customers assemble Vellum-powered Prompts and Semantic Search to create incredible products, version control and debug them using Vellum Deployments, and validate them when making changes using Vellum Test Suites.\n\nNow that we have the building blocks, we’re well-positioned to help you assemble them. Workflows has been in closed-beta for a few weeks now and we already have customers using them to power their entire AI backend in production.\n\n> Vellum Workflows give us the opportunity to really tailor different parts of our product to the end users’ needs without having to invest in tons of custom development, which has dramatically decreased our time to market. As a technical, but non-engineering stakeholder, I’m able to truly participate in the development of the product experience and help deliver personalized AI-powered experiences to customers faster than I could have ever imagined.\n>\n> **Adam Daigian, Product Lead at Miri Health**\n\nWe firmly believe that the best AI-powered products out there will be the result of close collaboration between technical and non-technical team members. We’ve repeatedly seen engineers set up the initial scaffolding, integrations, and guard-rails, while non-technical folks run experiments and tweak prompts/chains. No other platform facilitates this collaboration as well as Vellum.\n\n**Ask: How you can help**\n\n* Sign up for a free 14-day trial if the problems we aim to solve resonate with you. [Click here](https://vellum.ai/landing-pages/14-day-trial).\n* Share your thoughts and feedback on our direction in the comments below 👇\n* Spread the word with others you think this may help",
        "url": "https://www.ycombinator.com/launches/JFm-vellum-workflows-quickly-prototype-and-deploy-ai-chains",
        "votes": 37,
        "created_at": "2023-08-15T13:35:21.785Z"
      },
      {
        "id": 69757,
        "title": "Vellum - Build production-worthy LLM applications",
        "tagline": "The developer platform for building production-worthy Large Language Model applications",
        "body": "**TL;DR** [Vellum](http://vellum.ai) (W23) is a developer platform for building production-worthy applications on LLMs like @OpenAI’s GPT-3 or @Anthropic’s Claude. Use Vellum to save hours on prompt engineering, iterate on prompts in production confidently, and continuously fine-tune for better results (we helped one customer save 94% of their LLM costs through fine-tuning!). Request early access [here](https://www.vellum.ai/landing-pages/request-early-access).\n\n—\n\nHi everyone,\n\nAkash, Noa and Sidd here. We worked together at Dover (YC S19) for 2+ years where we built production use-cases of Large Language Models (LLMs). Noa and Sidd are MIT engineers who previously worked at DataRobot’s MLOps team and Quora’s ML Platform team respectively.\n\nWe decided to work on Vellum after realizing that while the MLOps industry has matured rapidly for traditional ML, companies using LLMs don’t have any of this tooling available. Engineering teams spend many hours building custom internal tooling to tame LLMs, taking away time from building their core product.\n\n![uploaded image](/media/?type=post&id=69757&key=user_uploads/1020427/c77e40f4-74d7-49b8-89cf-650548274362)\n\n# \n\n# **The LLM Management Problem**\n\nWe’ve seen companies building production applications with Large Language Models experience challenges at all stages:\n\n1. **Going from 0 → 1:** ”Prompt engineering” has become an important role in working with LLMs. Today, most people experiment with various prompts across browser tabs and the more diligent track the results of their experimentation in spreadsheets. Rarely do people take the time to test each variant across a sufficient number of test cases, let alone try different parameter combinations and LLM providers. Most settle for a sub-optimal configuration because the testing process is so tedious. Querying for semantically relevant context against a corpus of text to inject in the prompt is another large barrier for many people just getting started.\n2. **Managing changes once live in production:** Tracking model & prompt versions, keeping an audit log of inputs/outputs, testing changes to prompts/models before going into production, and measuring aggregate quality metrics are all critical for a production-worthy system, but all require custom code and non-trivial internal tooling. Engineers don’t have time to build out this tooling and instead, fly blind – never sure what their current baseline for quality is or whether “improvements” made to their prompts will in fact break existing behavior.\n3. **Post-MVP optimization:** Most people find a semi-reasonable prompt for _text-davinci-003_ and move on. But, they also acknowledge that with more time, they could set up a fine-tuning pipeline, experiment with other models/LLM providers, and try out new foundation models as they’re released to maximize output quality while dramatically reducing LLM provider spend. They’re paying a premium for sub-optimal quality and risk falling behind as new models are released.\n\n# \n\n# **The Vellum Product**\n\nWe have 3 products – each aimed to solve the problems we identified when building production LLM apps ourselves.\n\n### **Vellum Playground: Super powers for prompt engineers**\n\nCreate one “sandbox” per LLM use-case. In each, you can try as many prompt variants as you like across as many test cases as you wish. These prompt variants may differ in their text, underlying model, model parameters (e.g. “temperature”), and even LLM provider! Each run is saved as a history item and has a permanent url you can use share with teammates and track results.\n\n![uploaded image](/media/?type=post&id=69757&key=user_uploads/1020427/3a844278-c463-456f-ae0a-566ecbd29153)\n\n## **Vellum Manage: Confidently iterate on models in production**\n\nOnce you’ve settled on a prompt you like, you “deploy” it through Vellum. Vellum acts as a high-reliability, low-latency proxy layer between you and LLM providers. Every request is captured and persisted in one-place, providing observability into your model’s performance. Because the API interface doesn’t change, you can update your prompt (and even the underlying LLM provider!) without making any code changes. Previously made requests can be replayed against proposed changes to gain confidence prior to updating a deployment. All updates are version-controlled and you can revert to prior versions at any time.\n\n![uploaded image](/media/?type=post&id=69757&key=user_uploads/1020427/437adec7-b675-459c-8148-fe7600c20c41)\n\n## **Vellum Optimize: Continuously fine-tune to improve quality and lower cost**\n\nOnce you’ve collected data in production for some time through Vellum Manage, these input/output pairs (minimum 100, but depends on the use case), can be used to fine-tune your own proprietary models for better quality, lower cost, or lower latency. Your data and your models become a powerful competitive moat. Vellum periodically runs model evaluation jobs in the background to see if we can find a different model that works even better for your use case. If one is identified, you can swap models under-the-hood – no code changes needed!\n\n![uploaded image](/media/?type=post&id=69757&key=user_uploads/1020427/72d1eb55-ddc8-4512-b674-1e409c4eb608)\n\nP.S: If you’re curious, we recently published a blog where you can learn more about the benefits of fine-tuning and how to do it. Check it out [here](https://www.vellum.ai/blog/what-is-fine-tuning-and-when-to-use-it).\n\n### **Trusted by companies on the bleeding edge of AI**\n\n![uploaded image](/media/?type=post&id=69757&key=user_uploads/1020427/f3a6ea0a-6b88-4b9c-81a6-8a4770e42e0f)\n\n\n## **Our ask**\n\n* Visit [our website](http://vellum.ai) to learn more, [request early access](https://www.vellum.ai/landing-pages/request-early-access) if any of these problems resonate with you!\n* Spread the word! Share this post if you know of others looking to build applications using LLMs who would likely benefit from our platform\n* If you’re thinking about using LLMs and would like to discuss your use-case with us, please reach out through our website!",
        "url": "https://www.ycombinator.com/launches/I97-vellum-build-production-worthy-llm-applications",
        "votes": 95,
        "created_at": "2023-02-28T16:40:51.920Z"
      }
    ]
  },
  {
    "id": 28118,
    "name": "Vocode",
    "slug": "vocode",
    "former_names": [
      "Brush"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aad057fc105425dc8b99aca0064ab8e6964e0c28.png",
    "website": "https://vocode.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Open source voice AI.\r\n\r\nCheck out our docs for more information: https://docs.vocode.dev",
    "one_liner": "Open source Voice AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1677630945,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "Open Source",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vocode",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/vocode.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/vocode-dev/about/",
    "x_url": "https://twitter.com/vocodehq",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/vocodedev/vocode-python",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aad057fc105425dc8b99aca0064ab8e6964e0c28.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/34c808535d8ad7173a1321fbec53a480ec8f79f2.png"
    ],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 782661,
        "full_name": "Kian Hooshmand",
        "title": "Founder",
        "founder_bio": "Working on something new. Formerly @Vocode, @Brex, and Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kianhooshmand/",
        "x_url": "https://twitter.com/kianhooshmand",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2fb5098e00455e0e2c9e3417e83276e09ea3579.jpg"
      },
      {
        "user_id": 1211361,
        "full_name": "Ajay Raj",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ajaynraj/",
        "x_url": "https://twitter.com/ajaynraj",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac4802910a6f72c293baea99b140b6bc910243fe.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Vocode: Conversational AI Startup Raises $3.25 Million in Fresh Funds",
        "url": "https://www.businessinsider.com/vocode-conversational-ai-startup-raises-3-25-million-in-fresh-funds-2024-2",
        "date": "Feb 08, 2024"
      }
    ],
    "launches": [
      {
        "id": 69813,
        "title": "🤖 Vocode: Open source voice AI on top of LLMs",
        "tagline": "Build conversational agents in less than 10 lines of code",
        "body": "**TLDR:** Vocode makes it easy for developers to build voice-based LLM applications. Using Vocode, developers can integrate realistic voice AI in product flows or to automate interactions like phone calls in 10 lines of code. [**Watch our demo**](https://vocode.dev?utm_source=bookface&utm_medium=website&utm_campaign=launch_yc)😀\n\nHi everyone! Ajay and Kian here representing Vocode – we are on a mission to build the most realistic, production-ready conversational voice AI to power the future of human <> computer interactions.\n\n![uploaded image](/media/?type=post&id=69813&key=user_uploads/782661/2d32781c-f34c-4c26-8f70-c018e66a4255)\n\n### Problem: voice interfaces are useful but hard to build\n\nTo build a realistic voice interface, you have to orchestrate several pieces – speech recognition, AI/Natural Language Understanding, and speech synthesis – in real time while managing the asynchronous and imperfect nature of human conversation.\n\nBut voice is our most natural communication medium and is applicable in practically every industry (healthcare, sales, customer service, etc). Many products and services _would_ have voice interfaces or voice automation.. but don’t due to the complexity.\n\n### Vocode makes it easy\n\nVocode makes it easy for developers to build voice interfaces through composability. Vocode orchestrates everything in real time and provides tools out-of-the-box for common workflows.\n\nCompanies can now focus on their core product/vertical and use our library to dramatically reduce the complexity and engineering time required to build voice into their applications.\n\n### Why now?\n\nWe’re at an inflection point where speech recognition/synthesis/AI are all improving at breakneck speed and we think this will lead to a massive boom in voice interfaces. Vocode wants to be the developer platform for building these voice interfaces.\n\nThe existing market is either too focused on custom enteprise use cases or not easy enough to use. Vocode will make it 10x faster to build voice apps through composability and the developer ergonomics we’re used to with other dev focused products (eg Stripe).\n\nIf you’re interested in what we’re building, check us out at [vocode.dev](https://www.vocode.dev/) and drop us an email/request access to our private beta!",
        "url": "https://www.ycombinator.com/launches/IA1-vocode-open-source-voice-ai-on-top-of-llms",
        "votes": 29,
        "created_at": "2023-03-01T15:49:57.823Z"
      }
    ]
  },
  {
    "id": 28119,
    "name": "Fabius",
    "slug": "fabius",
    "former_names": [
      "Fabius Technologies",
      "Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3146a62c7afd679b4aadd44a003d88caa00ec656.png",
    "website": "https://fabius.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Fabius helps sales leaders understand and improve their reps' performance by analyzing customer calls with AI. Companies like Airbyte and Fermat use us to score every call and identify when a customer hasn’t been properly qualified.\r\n\r\nFabius helps drive decisions within sales, including:\r\n- Disqualify a deal: Reps work on deals that will never close. We identify the deals that won't be successful and make sure reps don't waste time on them.\r\n- Need to strengthen the business case for a deal: We tell managers and reps when a deal has a weak business case and show them how to uncover more business value in the deal.",
    "one_liner": "AI to improve Sales Calls",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1671052963,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/fabius",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/fabius.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fabius-technologies/",
    "x_url": "https://twitter.com/fabiustech",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/fabius-66e4",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3146a62c7afd679b4aadd44a003d88caa00ec656.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 992464,
        "full_name": "Neil Madsen",
        "title": "Founder",
        "founder_bio": "Neil is the CEO of Fabius.  \n\nBefore co-founding Fabius, Neil was the Head of Technical Services at LiveRamp, where he led all technical customer-facing teams (Sales Engineering, Implementation, Technical Account Management, and Support). \n\nHe has a BS in Computer Science from The Ohio State University.",
        "is_active": false,
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        "user_id": 630080,
        "full_name": "Andy Day",
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        "founder_bio": "Co-Founder and CTO of Fabius. Previously lead the Pixel Serving Engineering Team @ LiveRamp.",
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        "linkedin_url": "https://www.linkedin.com/in/andrewkday",
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      {
        "id": 69385,
        "title": "📈 Fabius - Unlock the power of your sales process and drive urgency to win more deals",
        "tagline": "We score every opportunity against your unique sales process by analyzing call recordings",
        "body": "**_TL;DR_** _- Fabius helps sales leaders take the guesswork out of their sales pipeline by providing visibility into their sales process. For individual reps, we provide just-in-time feedback to reps to help drive urgency and win more deals._\n\nHey everyone, we’re [Neil](https://www.linkedin.com/in/neil-madsen-18a3755b/) and [Andy](https://www.linkedin.com/in/andrewkday/) and we’re thrilled to announce the launch of [Fabius](https://www.fabius.io/).\n\n![uploaded image](/media/?type=post&id=69385&key=user_uploads/630080/d80ac2d9-d0a3-4448-a5b0-656faa0d255b)\n\n**🫣 The Problem: B2B sales teams are often blind to how their sales process works in practice.**\n\nDespite having a well-defined process (like MEDDPICC), sales reps can often overlook key information, and view deals with rose-colored glasses.\n\nIdentifying pain, driving urgency, and gaining access to power are critical to successful B2B sales - especially in today’s market! Without visibility into their process, sales leaders struggle to make accurate forecasts, identify deals that are off-track, and onboard new reps effectively.\n\n![uploaded image](/media/?type=post&id=69385&key=user_uploads/630080/8ecee57b-d85c-4bb6-819d-d8b0ed4ee007)\n\n**🔎 The Solution:**\n\nFabius uses data from customer intelligence tools like Gong and Chorus to overlay your company's sales methodology with what's happening in the field, leveraging LLMs to extract the ground truth around your opportunities. We score every deal against your company’s tailored sales process so you can replicate what works again and again.\n\n**For sales leaders** - this gives unparalleled visibility into their sales processes, so they can improve their forecasts, help course correct deals which are missing key steps in their methodology, and ramp up sales reps faster.\n\n![uploaded image](/media/?type=post&id=69385&key=user_uploads/630080/5281e3e4-5b22-406b-9b01-ba28f58619c9)\n\n**For individual reps** - they get just-in-time feedback on their sales calls to help them drive urgency and win more deals.\n\n![uploaded image](/media/?type=post&id=69385&key=user_uploads/630080/188dcb5f-5446-4ee1-ae91-b4ef2e5f5f06)\n\nWe believe that Fabius is the best way to take the guesswork out of sales and help sales teams become more efficient and productive. We are excited to get started and look forward to helping B2B sales teams succeed!\n\n**Our Asks!**\n\n1. Sign up for our waitlist by emailing [founders@fabius.io](mailto:founders@fabius.io)!\n2. Share this post with anyone who might need this (think Sales Leaders, CROs, etc)\n3. Chat with us! If this problem / solution space is interesting to you, we’d love to chat. Book time on [our calendar](https://calendly.com/fabiustech/15-mins?month=2023-02)!",
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        "created_at": "2023-02-17T01:49:58.651Z"
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    "subindustry": "B2B -> Finance and Accounting",
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        "full_name": "Alec Dunn",
        "title": "Founder",
        "founder_bio": "Alec spent 5+ years working for one of the largest real estate investors in the world and is now on a mission to change how private market investors utilize their data.",
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        "user_id": 1120059,
        "full_name": "Connor Janson",
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        "id": 81006,
        "title": "Benchmark 📈 - The fastest way to screen deals & analyze investment data",
        "tagline": "The platform that allows you to screen deals in minutes rather than days.",
        "body": "**_TL;DR:_** _Benchmark is the fastest way to screen deals & analyze investment data. Benchmark efficiently extracts, organizes, and summarizes key information from any data source in seconds while automatically building a proprietary comp database. With Benchmark, decision-makers can capitalize on opportunities with unmatched speed and precision. Visit _[_https://withbenchmark.com_](https://withbenchmark.com)_ to accelerate your investment process today._\n\n_—_\n\nHey YC! We are Alec, Connor, and Josh, the co-founders of Benchmark. We are on a mission to change how private market investors screen investment opportunities and utilize data.\n\n### **❌ The Problem:**\n\nInvestment teams spend thousands of hours each year reviewing investment opportunities that die. When deals die, all of the precious data and context that was painstakingly collected is lost in old email chains and folders. This data is a gold mine for investment firms but is currently neglected. As a result, investment teams spend way too much time focusing on low-probability opportunities, digging through old files for comps, and redoing old analyses.\n\n### **✅ Our Solution:**\n\nBenchmark automatically extracts, normalizes, and summarizes deal data from any data source. Allowing investment teams to quickly screen deals, answer due diligence questions, build comps, and gather context. Benchmark’s single source of truth for deal data provides a huge competitive advantage for teams by minimizing the amount of time they spend on low-probability deals and building permanent institutional knowledge.\n\n### **❓ How it Works:**\n\n* **Upload deal documents**\n  * Documents from any data source, whether internal or external, are securely parsed in minutes\n* **Instantly screen your deal**\n  * Review deal summaries, key metrics, internal comps, due diligence question answers, and highlighted risks\n* **Dive deeper into any area of interest with Q&A**\n  * Ask any question about the deal, and Benchmark will provide accurate answers with instantly verifiable sources, reasoning, and citations.\n* **Retain and analyze all of your data**\n  * Upon upload, each file has key metrics extracted - transforming previously unstructured data into a structured database ready for any analysis\n\n![uploaded image](/media/?type=post&id=81006&key=user_uploads/1122874/8b8447dc-c49b-40cf-b413-4e59f97bd845)\n\n### **🙏 Asks:**\n\n* **Connect us** ([alec@withbenchmark.com](mailto:alec@withbenchmark.com)) with Private Equity Funds, Institutional Real Estate Investors, Private Credit Funds, or other private market investors.\n* **Test our product**: We would love to have you test our product if you do any private market investing yourself!",
        "url": "https://www.ycombinator.com/launches/L4Y-benchmark-the-fastest-way-to-screen-deals-analyze-investment-data",
        "votes": 44,
        "created_at": "2024-05-21T16:57:01.742Z"
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      {
        "id": 68929,
        "title": "BidSight 🏗️ - Modernizing pre-construction for CRE developers",
        "tagline": "Eliminate costly errors and meet deadlines during pre-construction, with the first project management platform specifically built for CRE developers",
        "body": "### **Tl;dr**:\n\nBidSight makes it easy for commercial real estate (CRE) development teams to manage and collaborate on complex pre-construction workflows. Today, CRE developers manually track pre-construction workflows across hundreds of project documents, which leads to extremely costly errors. BidSight’s platform acts as a single source of truth for development teams, eliminating errors and saving them millions. [Learn more today!](https://www.bidsight.io/)\n\nHi everyone! We’re Alec, Connor, and Josh from [BidSight](https://www.bidsight.io/).\n\n![uploaded image](/media/?type=post&id=68929&key=user_uploads/1122874/e2f756ee-d963-4a1b-b098-b60906f34233)\n\n### **🚧 The Problem: The Pre-Construction process is broken**\n\nDuring pre-construction, commercial real estate developers rely on numerous stakeholders (architects, engineers, contractors, etc.) to help design, permit, and plan construction projects within their budget. However, development teams currently have to utilize a patchwork of non-specialized tools (email, excel, PDF editors, etc) to manage stakeholder workflows and output, creating error-prone, non-standardized, and siloed processes.\n\nThe current process forces development teams to recreate the wheel from scratch on every project and causes them to lose millions of dollars on each project due to error driven delays.\n\n### 📖**Background**\n\nAlec (CEO) spent 5+ years working for one of the largest commercial real estate developers in the United States and dealt with this problem on a daily basis. He spent a significant amount of time searching for a software solution that addressed his highly specific needs; however, none of the non-specialized tools in the market worked. After speaking with numerous other developers that faced the same problem, Alec decided to recruit Connor (ex-Square) and Josh (ex-Google), who have spent their careers developing software, to build the product he always wished he had.\n\n### **✅ Our Solution: Collaborative workflow and data management**\n\nA pre-construction specific workflow and data management platform that acts as the single source of truth for development teams.\n\n* **🧑‍🤝‍🧑Team Management**: Add your full team (internal and external) to a project, with clear permissions structures based on roles and responsibilities\n* **📅Schedule Management**: Create project schedules that update in real-time based on the completion of tasks\n* **📄Drawing & Document Management**: Upload all of your project drawings and our OCR engine will automatically categorize them, allowing for clear version control and change tracking\n* **✔️Task Management**: Assign, track and prioritize tasks, which are directly tied to project documents and deadlines\n* **♻️Templated Workflows**: Create templates and checklists for your specialized workflows to standardize processes\n\n![uploaded image](/media/?type=post&id=68929&key=user_uploads/1122874/12194d69-7dc5-4da1-8d19-bfd9c968d4e5)\n\n### **💰 Opportunity: Value beyond savings**\n\nIn 2022, $1.8 trillion was spent on construction in the United States. Recent studies have shown that 75% of construction projects are delayed and less than 1/3 of projects come within 10% of their original budget. This means that there are hundreds of billions of dollars wasted each year due to project delays! Rather than wasting these funds, they should be reallocated to enhance our built world.\n\n### **🙏Ask: How you can help**\n\n* [Connect us](mailto:sales@bidsight.io) to US based CRE developers in your network\n* [Share BidSight](https://www.bidsight.io/) with your network\n* If you are building a company within the real estate & construction space, we would love to connect to learn about your experience ([founders@BidSight.io](mailto:founders@BidSight.io))",
        "url": "https://www.ycombinator.com/launches/Hvl-bidsight-modernizing-pre-construction-for-cre-developers",
        "votes": 75,
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        "full_name": "Len Boyette",
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        "founder_bio": "Len was an early Okta engineer, who founded Okta's developer experience team. He built a platform to power hundreds of Okta integrations and maintained open-source projects which have over a billion installs.",
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        "id": 68655,
        "title": "Drift Bio: The operating system for life sciences data",
        "tagline": "We make software to get life sciences data into the cloud and manage bioinformatics workflows",
        "body": "[Drift Bio](https://driftbio.com) is the next-generation tool for life sciences organizations to manage and analyze their data.\n\nWho are we? We’re Evan and Len, the cofounders of Drift. We’re passionate about life sciences and the ability of software to transform the way life sciences do business by fixing their software.\n\n![uploaded image](/media/?type=post&id=68655&key=user_uploads/229820/89e8e191-d016-4642-a3a5-ac9392fe6fe7)\n\n### **Why life sciences software?**\n\nThe practice of life sciences has undergone more change in the past decade than the past century. Today, life sciences companies have to analyze large amounts of data without clear best practices, and this work is often done by hand and requires software engineering to scale. Data scientists lived that way too, ten years ago–but now they have tools to help them manage their overhead and output 10x more than their predecessors. Life sciences practitioners deserve the same.\n\nThe amount of analysis life sciences companies have to do is dizzying. Genomics, flow cytometry, scRNA, PCA, CRISPR, proteomics (do you prefer DDA or DIA?), and more. People need answers and breakthroughs. Software that requires life sciences companies to deal with this headache, instead of abstracting it away and scaling it across their whole organization, is a key bottleneck to success.\n\n### **Great, so how does Drift help?**\n\nDrift is a platform that is specifically tuned for life sciences organizations. We help you scale your work and make it easy to use.\n\nHow? We help you access popular open source tools, manage your workflows (even with custom code across several languages!), get into the cloud, store your data, share it with collaborators, and more, all without having to manage environments or clusters. All that in just one platform.\n\n![](https://lh3.googleusercontent.com/KgBFOBnezzIc8qdQAQdWvVADYXBqJ2LCEgtMK603O8j-Skmh9g9CjCxqaROi1XSlpMXNhVpg2_Llhf5YYGqGECuuOFi6JuAf9AGb9oWm1jbYFoSawv1gbek4Z29KQkqbA4wdC_WZNiQ9q1k0vTp0jtfHKs1nnsS8nlhGSPUM_2sjzkZQ3tdeWoAuSfvAnA)\n\nAt its core, Drift is a platform for data that creates different entry points for everyone across any life science organization to get their data in the cloud, analyze it, and make their work reproducible in a shareable way. We do this through our in-house management tools, which you can use to access popular open-source libraries or deploy your own software IP. By using Drift, it is all in the cloud and easy to use. And without even having to change your code, you can turn it into a GUI so that others can use the software. \n\n### **How do I get started?**\n\nIf you work at a life sciences organization, we want to talk to _you_! Tell us about your use case and we’ll tell you how Drift can help. Email us at [team@driftbio.com](mailto:team@driftbio.com) to talk.\n\nAnd if you are a bioinformatician who wants to contribute, or you know someone who does, please send them our way too.\n\nThank you!",
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    "long_description": "Pricing Strategy is one of the most powerful levers that retailers have at their disposal to create growth, yet it is underleveraged. Most retail pricing teams settle for making decisions in spreadsheets, shooting in the dark, and working backward from a cost-plus margin target, leaving a LOT of money on the table.\r\n\r\nOur founders experienced these problems at scale when they built pricing tech at Uber that made Uber a billion dollars in profit a year. They realized that retail was lacking the same quality and sophistication of price tooling. So, they built Luca.\r\n\r\nLuca is an AI-powered co-pilot for retail operators, which constantly identifies revenue and profit headroom, makes recommendations for price adjustments and saves countless work hours along the way. \r\n\r\nLuca is backed by Y Combinator, Menlo Ventures, and others.",
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    "news": [
      {
        "title": "Y Combinator-backed Luca aims to optimize retail prices at enterprise scale | TechCrunch",
        "url": "https://techcrunch.com/2023/04/27/luca-raises-cash-for-pricing-optimization/",
        "date": "Apr 27, 2023"
      }
    ],
    "launches": [
      {
        "id": 69842,
        "title": "Luca - Meet the pricing co-pilot for e-commerce businesses.",
        "tagline": "We help retailers set prices and discounts that create 10% more profits and revenue, with 10% of the effort.",
        "body": "**tl;dr**\n\nLuca is a machine learning-powered co-pilot for retail, which constantly identifies headroom in your store, makes recommendations for price adjustments, and helps you manage decisions across all sales channels. \n\nWe are an ex-Uber Pricing team that is already helping retailers manage prices for over $50mill of revenue. [Get in touch](https://forms.reform.app/pqNBb1/early-access-1/kZx3w2) with us!\n\n**Our Story**\n\nWe are Yonah Mann and Tanvi Surti. We met while working at Uber, where we both worked on pricing technology. Our work cumulatively created over $1 billion in margin gains for Uber – and this experience made us realize that configurable revenue tools in the hands of operators could be incredibly powerful!\n\nSo, we are now on a mission to bring revenue optimization tools to retail, and build a fun company as we go along!\n\n![uploaded image](/media/?type=post&id=69842&key=user_uploads/814509/5422d569-a5ce-4f8a-bbc2-1cf3c2a98268)\n\n**The Problem**\n\nE-commerce teams have to react to large swathes of data from multiple channels to build a pricing and discount strategy, such as  –\n\n1. ⛅ Seasonal and Market trends, with changing customer price elasticities\n2. 👯 Competitor price changes or promotional campaigns\n3. 🚛 Inventory availability \n4. 🚢 Changing manufacturing and shipping costs\n\n_And_, they have to do this across 1000s of SKUs and across multiple stakeholder teams such as Merchandising, Marketing, Revenue, and Inventory. This level of complexity makes changing prices time-consuming and inefficient, while still leaving money on the table.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=69842&key=user_uploads/814509/004e0bac-15fd-49c9-a3af-d7d20e6bc40d)\n\nWe replace fragmented decision making in e-commerce teams with our pricing system that organizes, recommends and measures outcomes, ensuring that every product is priced in a way that optimizes revenue and profits. Here’s how –\n\n1. **👀 Observe:** We connect with the customer’s sales and inventory data sources (Amazon and Shopify to start, more to come soon), and create a real-time view of customer elasticities and conversion rates. \n2. **👉 Recommend**: We feed historical sales, competitor and market data into our machine learning model, combine it with inventory availability and make recommendations for price and discount adjustments.\n3. **🖐 Act:** We bubble up the recommendations over email and Slack, allowing the business to quickly act upon the data and push the changes to production across all their channels.\n4. **⚙ Configure**: Lastly, we allow the business to configure custom rules, such as competitor-based pricing guardrails or wholesale-price-based constraints.\n\n**Asks**\n\n* If you work in retail and would like to try our product, please sign up [here](https://forms.reform.app/pqNBb1/early-access-1/kZx3w2) and we will get in touch with you.\n* If you know someone in your network who would be interested in this, please drop us a note at [founders@askluca.com](mailto:founders@askluca.com)",
        "url": "https://www.ycombinator.com/launches/IAU-luca-meet-the-pricing-co-pilot-for-e-commerce-businesses",
        "votes": 52,
        "created_at": "2023-03-01T20:37:56.184Z"
      }
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  },
  {
    "id": 28141,
    "name": "highlight.io",
    "slug": "highlight-io",
    "former_names": [
      "Highlight"
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    "website": "https://www.highlight.io/",
    "all_locations": "Seattle, WA, USA; Remote",
    "long_description": "highlight.io is the open source, full-stack monitoring platform. With just a few lines of code, Highlight makes it easy to understand what's slowing down your users and swiftly address errors and regressions on your web app.  Imagine that you have a customer reporting an issue on your web app. With highlight.io, you can playback their exact interactions to reproduce the bug and get notified of any future errors that could happen.\r\n\r\nThat being said, we’re just getting started! We have plans to go way deeper into your observability stack to give you all of the visibility you need. Join us on this journey:\r\n- Star us on GitHub (https://github.com/highlight/highlight) to keep up with releases and news.\r\n- Join our Discord (https://highlight.io/community) to share product feedback and thoughts.\r\n",
    "one_liner": "The open source, fullstack monitoring platform: stop guessing why…",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1675367373,
    "tags": [
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      "SaaS",
      "B2B",
      "Open Source",
      "Monitoring"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/highlight-io",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/highlight-io.json",
    "year_founded": 2023,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/highlightrun",
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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      {
        "user_id": 241768,
        "full_name": "Jay Khatri",
        "title": "Cofounder, CEO (acquired by LaunchDarkly)",
        "founder_bio": "I currently run the Observability business at LaunchDarkly. I was the CEO at Highlight, which was acquired by LaunchDarkly in March of 2025. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jay-khatri",
        "x_url": "https://twitter.com/theJayKhatri",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9f1e7513e56139706e0a7fa29cc2cf7701527f0.jpg"
      },
      {
        "user_id": 1250975,
        "full_name": "Vadim Korolik",
        "title": "Founder",
        "founder_bio": "Vadim Korolik is the founder and CTO of highlight.io, the open source session replay and error monitoring framework. A native of the Bay Area, Vadim previously worked at Pure Storage and drive.ai.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vkorolik/",
        "x_url": "https://twitter.com/vkorolik",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/310d5870d701e4759b843740c85bf40bcf26f3e4.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Highlight launches full-stack application monitoring platform, raises $8M | VentureBeat",
        "url": "https://venturebeat.com/programming-development/highlight-launches-full-stack-application-monitoring-platform-raises-8m/",
        "date": "Aug 15, 2023"
      }
    ],
    "launches": [
      {
        "id": 68975,
        "title": "highlight.io - Open-source session replay & error monitoring",
        "tagline": "highlight.io is the open source, fullstack monitoring platform. We help engineers reproduce hard-to-crack issues, and understand how their product is used.",
        "body": "![uploaded image](/media/?type=post&id=68975&key=user_uploads/241768/1b79410b-8b41-4e1e-8869-c4ccfe7d2130)\n\n## **TL;DR:**\n\n[highlight.io](http://highlight.io) is an open-source **session replay and error monitoring** tool that helps teams reproduce hard-to-crack issues and understand product usage. We enable developers to understand WHY bugs are thrown on their web apps to eliminate the noisy alerts they get from more traditional monitoring tools.\n\n[highlight.io](http://highlight.io) is already being used in production by **2k+ developers and 80+ companies**. Get started for free at [app.highlight.io](http://app.highlight.io) and give us a ⭐️ at [github.com/highlight/highlight](http://github.com/highlight/highlight).\n\n### **The Problem**\n\nHow many times have you gotten an alert from Bugsnag or Sentry, and dismissed it because you weren’t sure about what caused it? And how many of you have an endless backlog of errors that your team _should_ triage, but haven’t gotten to yet?\n\nWe’ve found that when debugging an issue or customer request, **the toolset that you use is responsible for delivering one thing only: context**. And if there’s any gaps in this context, engineers are left in the dark.\n\nTo solve this, at our last companies, we found a lot of value in instrumenting a session replay-like tool, (similar to Logrocket or Fullstory), paired with an error monitoring tool (like Bugsnag). In fact, we’ve built these sorts of tools ourselves to hackily solve the problem. Enter [highlight.io](http://highlight.io).\n\n### **The Solution: Session Replay 🤝 Error Monitoring**\n\nWith a simple `yarn/npm` import in your frontend and an optional import in your backend, [highlight.io](http://highlight.io) gives you session replay and error monitoring out of the box. This means that you can:\n\n* Replay exactly what a user was seeing at the time of an issue/bug.\n* Reproduce the browser dev-tools for every user session, including the network requests, errors, and more.\n* Access all of the errors and exceptions (both frontend and backend) thrown in your app, paired with session replay.\n\nLastly, given the privacy-sensitive nature of the product, we have a very powerful privacy API that you can take a look at in our docs [here](https://www.highlight.io/docs/session-replay/privacy).\n\n## **💬 What’s Next?**\n\nWe’re just getting started! We have plans to go way deeper into your observability stack to give you ALL of the visibility you need; that means logs, traces and more! Join us on this journey:\n\n* ⭐️ us on [GitHub](https://github.com/highlight/highlight) to keep up with releases and news.\n* Join [our Discord](https://highlight.io/community)!",
        "url": "https://www.ycombinator.com/launches/HwV-highlight-io-open-source-session-replay-error-monitoring",
        "votes": 60,
        "created_at": "2023-02-02T19:04:50.853Z"
      }
    ]
  },
  {
    "id": 28162,
    "name": "Verata",
    "slug": "verata",
    "former_names": [
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      "AiFlow"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/04042feea68cfa6b3181b5712c149970e24f178f.png",
    "website": "https://www.veratainsight.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Source Proprietary Deals Through Your Network. Verata combines relationship intelligence with private company data to help PE firms find targets, identify warm paths, and get to companies before they hit the market. We also empower firms to leverage their extended network for back-channeling and due diligence on prospective investment targets. ",
    "one_liner": "Network Intelligence for Investors",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1677562483,
    "tags": [
      "Fintech",
      "Generative AI",
      "SaaS",
      "HR Tech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/verata",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/verata.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/verata-insight/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 292223,
        "full_name": "Nicholas Manske",
        "title": "Founder",
        "founder_bio": "Building Verata, an executive network mapping and company intelligence platform for investors (think BoardEx plus PitchBook). We drive proprietary deal flow, backchannel diligence, and executive advisory for the private equity industry",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicholas-manske/",
        "x_url": "",
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      },
      {
        "user_id": 1236126,
        "full_name": "Josh Gardner",
        "title": "Founder",
        "founder_bio": "Building Verata, an executive network mapping and company intelligence platform for investors (think BoardEx plus PitchBook). We drive proprietary deal flow, backchannel diligence, and executive advisory for the private equity industry. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josh-gardner-957903134/",
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    "jobs": [],
    "news": [
      {
        "title": "AiFlow Secures Seed Round Investment | MarTech Cube",
        "url": "https://www.martechcube.com/aiflow-secures-seed-round-investment/",
        "date": "Apr 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 96939,
        "title": "Verata - Network Mapping for Investors",
        "tagline": "Harness the power of your firm's extended network",
        "body": "[Verata ](https://www.veratainsight.com/)helps PE firms source proprietary deals by mapping their network and showing warm paths to target companies.\n\n<https://youtu.be/B_wV81DJfB4>\n\n### **TL;DR**\n\nVerata is the relationship intelligence platform for private equity. We map your firm's entire network, show you warm paths to any target company, and combine that with private company intelligence—so you can source proprietary deals through relationships instead of cold outreach.\n\n**3 of the top 10 mega funds** already use Verata. We drive proprietary deal flow, due diligence, and the sourcing of deal advisors and portfolio operators.\n\n**Ask:** Know someone at a PE firm frustrated with deal sourcing? Intro us at [josh@veratainsight.com](mailto:josh@veratainsight.com).Want to try it yourself? Book a demo [here.](https://meetings.hubspot.com/josh-gardner)\n\n![uploaded image](/media/?type=post&id=96939&key=user_uploads/1236126/39421e1c-e8f7-442e-a8ad-39a754cf72eb)\n\n---\n\n---\n\n### **The Problem**\n\n**Private equity runs on relationships—but firms can't see their own network.**\n\nEvery PE firm has thousands of professional connections across partners, principals, alumni, operating advisors, and portfolio executives. When a deal team wants to reach a specific CEO or find companies matching their thesis, all that relationship capital is invisible.\n\nThe result:\n\n* **\"Do we know anyone at this company?\"** - Asked dozens of times a week, answered by guessing\n* **\"Who's our best path to this founder?\"** - Hours of LinkedIn searching for each target\n* **\"What companies fit our thesis?\"** - Days of manual market mapping\n* **Cold outreach to warm targets** - Missing relationships that could have opened doors\n\nFirms pay millions for databases of company information, but the most valuable data—their own relationships—sits unused.\n\n### **Our Solution**\n\nVerata combines relationship intelligence with private company data in one platform built specifically for PE.\n\n**Relationship Path Mapping**\n\nSee how your firm connects to any target company or executive. We identify high-quality, verified professional relationships—not LinkedIn's low-quality connections—and show you the warm paths that turn cold outreach into warm introductions.\n\n![uploaded image](/media/?type=post&id=96939&key=user_uploads/1236126/a9bebdb0-e58e-4038-8fdd-3253f96961b3)\n\n**Private Company Intelligence**\n\nResearch any target in seconds. Revenue estimates with transparent methodology, headcount trends, funding history, leadership profiles, comparable company analysis. One source of truth for target research.\n\n![uploaded image](/media/?type=post&id=96939&key=user_uploads/1236126/e1054869-f81f-4131-a395-5c60121a78a4)\n\n**Targeted Search**\n\nFind every company matching your thesis. Filter by geography, revenue range, sector, ownership type. Save searches and and see which targets you have warm paths to.\n\n![uploaded image](/media/?type=post&id=96939&key=user_uploads/1236126/32502b83-ccf5-4c02-9c2a-6390cbb2f4a9)\n\n**The Numbers:**\n\n* 1.5M+ executive profiles\n* 30M+ relationships mapped\n* Used by 3 of the to 10 firms by AUM\n\n---\n\n### **The Team**\n\n**Nick Manske** - Serial entrepreneur who previously co-founded AiFlow and Alariss Global, a software platform for international executive search that grew to 37 employees. Harvard '09, INSEAD '17J, former U.S. diplomat.\n\n**Josh Gardner** - Princeton-educated computer scientist with research published in top journals and experience leading startup engineering teams at Alariss Global and AiFlow. Princeton BSE ‘20, MSE \\*22.\n\n### **How We Got Here**\n\nBefore [Verata](https://www.veratainsight.com/), we built and scaled AiFlow—a software platform for executive search. We learned that relationship data is incredibly powerful when it's properly mapped, verified, and made actionable.\n\nWe also saw the same problem plaguing PE that we solved in executive search: brilliant professionals spending hours trying to answer a simple question—\"Who do we know?\"\n\nWe knew we could bring the network intelligence techniques we'd perfected to private equity deal sourcing. Today the [Verata](https://www.veratainsight.com/) platform trusted by 3 of the top 10 mega funds in the world.\n\n---\n\n### **Our Ask**\n\n1. **Intros to PE deal teams** - Know principals, directors, VPs, or business development folks at PE firms? We'd love an intro. Email [josh@veratainsight.com](mailto:josh@veratainsight.com).\n2. **Try Verata** - If you're at a PE firm or work closely with one, book a demo [here](https://meetings.hubspot.com/josh-gardner).\n3. **Follow our journey** - Connect with us on LinkedIn: [Nick](https://www.linkedin.com/in/nicholas-manske/) | [Josh](https://www.linkedin.com/in/josh-gardner-957903134/)\n\nThanks for reading! For more information please email [josh@veratainsight.com](mailto:josh@veratainsight.com) or visit <https://www.veratainsight.com/>.\n\n— Josh & Nick\n\n---",
        "url": "https://www.ycombinator.com/launches/PDX-verata-network-mapping-for-investors",
        "votes": 5,
        "created_at": "2026-01-19T22:46:33.127Z"
      },
      {
        "id": 88557,
        "title": "Verata - AI-Powered PE Intelligence Platform",
        "tagline": "Verata unifies financial data and executive profiles to help PE firms make better investment and talent decisions",
        "body": "Hey everyone 👋\n\nWe're Josh and Nick – co-founders of [Verata](https://www.veratainsight.com/).\n\n**TL;DR** Verata is the first unified intelligence platform for private equity that combines financial data and detailed executive profiles in one place. PE professionals spend hours jumping between LinkedIn, Pitchbook, and ZoomInfo manually compiling data. Verata saves firms 4.7x research time while providing verified executive attribution data that reveals which leaders truly drive returns.\n\nAsk: Are you a PE firm currently evaluating your research and intelligence stack for 2025? Book a [demo here](https://meetings.hubspot.com/josh-gardner) or email [josh@veratainsight.com](mailto:josh@veratainsight.com).\n\n<https://youtu.be/0xs6-cihW-s>\n\n❌ **The Problem** \n\nPrivate equity professionals waste 20+ hours per week on fragmented research across data silos (PitchBook, LinkedIn, ZoomInfo).\n\nA look at the numbers:\n\n* 71% of PE professionals toggle between 3+ platforms daily\n* 62% of executive hires fail to meet performance expectations\n* $380B in value creation is missed annually due to poor talent decisions\n* No solutions: existing platforms show where executives worked but not what they actually delivered\n\n🛠️ **Our Solution: One Unified Platform for PE Intelligence**\n\n**All-in-One System** 📊\n\n* End the frustration of toggling between LinkedIn, Pitchbook, and ZoomInfo.\n* Financial and people data in one place.\n* Complete profiles with PE-specific metrics\n* Seamless workflow with no \"stitching\" required\n\n**Performance-Verified Talent Intelligence** 👥\n\n* Find executives with proven PE value creation records\n* Validated historical performance across multiple PE cycles\n* Quantify what executives actually delivered\n* Identify true drivers of portfolio success\n\n**Superior Data Quality** 📈\n\n* Auto-updating, never stale data with continuous verification\n* Verified sources with clear citations\n* Transparent revenue estimation methodology\n* High accuracy on projections vs. actual reported figures\n\n**Comprehensive Market Mapping** 🗺️\n\n* Map your entire PE ecosystem in minutes\n* Superior competitor identification and market research\n* Eliminate the need to stitch data across multiple tools\n* Get the freshest insights on companies, executives, and investors\n\n🌟 **Results & Metrics**\n\n* 330k+ PE operators with verified experience and quantified metrics\n* $1.2T+ exit value tracked across our PE operator database\n* 4.7x faster research compared to traditional methods\n\n🙏 **Our Ask**\n\n* Are you a PE firm currently evaluating your research tools? Book a demo here.\n* Know any PE Operating Partners or Talent Partners who might benefit from our platform? Please share this post or introduce us: [josh@veratainsight.com](mailto:alex@verata.com)\n* Follow us on LinkedIn for the latest PE intelligence insights\n\nLearn more at [VerataInsight.com](http://VerataInsight.com)\n\n👫 **The Team**\n\nNick - Serial entrepreneur and repeat HR tech founder. He has deep expertise in people data and has built multiple advanced search systems for executive search professionals. Self-taught coder who graduated from Harvard and then worked as a diplomat in the US State department. \n\nJosh - Repeat founder and published algorithmic game theory researcher. Led technology teams for Alariss Global (General Catalyst) and AiFlow (YC ‘23) after graduating from Princeton (‘20, \\*22). \n\n![uploaded image](/media/?type=post&id=88557&key=user_uploads/89898/17b2d31d-6b4f-43fd-bf33-62214e75f584)\n\n",
        "url": "https://www.ycombinator.com/launches/N2L-verata-ai-powered-pe-intelligence-platform",
        "votes": 6,
        "created_at": "2025-03-13T04:58:32.602Z"
      },
      {
        "id": 82693,
        "title": "AiFlow - AI-powered Executive Search for the C-suite",
        "tagline": "We help executive search firms deliver exceptional candidates faster than ever before.",
        "body": "**tl;dr:** _AiFlow helps executive search firms generate a shortlist of executive candidates for an open position in under 60 seconds. Candidates are selected from our platform of 150,000 highly-enriched profiles, and each shortlist is created by thousands of AI “workers” evaluating candidates in parallel._\n\nHi everyone, we're Nick and Josh, the founders of AiFlow. We're on a mission to revolutionize executive search by harnessing the power of AI to deliver exceptional C-suite and board candidates faster than ever before.\n\n![uploaded image](/media/?type=post&id=82693&key=user_uploads/1236126/62fc49eb-65f1-4768-ac74-baa149328cbe)\n\n**Nick Manske:**  Harvard and INSEAD alumnus, previous co-founder of a cross-border talent marketplace.\n\n**Josh Gardner:** Princeton-educated computer scientist specializing in AI and NLP, who trained under one of OpenAI's GPT creators.\n\n🎯 **The Problem: Executive search is slow, manual, and often biased**\n\nTraditional executive search methods are time-consuming and labor-intensive. Search firms spend countless hours manually researching candidates, often relying on limited networks and potentially biased decision-making processes. This leads to:\n\n\\- Extended search cycles, sometimes lasting months\n\n\\- Difficulty in identifying diverse, high-quality candidates\n\n\\- Inconsistent results and potential missed opportunities\n\n✨ **Our Solution: AI-powered executive search at unprecedented speeds**\n\nAiFlow combines advanced AI algorithms with vast datasets to streamline and enhance the executive search process:\n\n\\- Analyze millions of data points to instantly identify top candidates\n\n\\- Generate comprehensive candidate profiles and dossiers\n\n\\- Mitigate bias through transparent and explainable AI systems\n\n\\- Provide industry-specific insights and competitor analysis\n\n![uploaded image](/media/?type=post&id=82693&key=user_uploads/1236126/87469b54-9be2-4ba1-be5c-685c5960b3a6)\n\n🚀 **Key Features:**\n\n1\\. Rapid Candidate Identification: Shorten search cycles by an average of 60%\n\n2\\. AI-Generated Insights: Gain deep understanding of candidates in minutes, not hours\n\n3\\. Diversity and Inclusion Focus: Proprietary AI systems designed to remove racial, gender, and age bias\n\n4\\. Automated Research: Leverage AI's understanding of industry semantics for precise matches\n\n5\\. Scorecard and Competency Matrix Search: Pinpoint candidates who precisely match client requirements\n\n💼 **Traction and Validation:**\n\n\\- Initially developed as a secret weapon for top private equity firms\n\n\\- SOC II certified, meeting strict security standards\n\n\\- Trusted by leading executive search professionals\n\n🙏 **Our Ask:**\n\n1\\. **Try AiFlow:** [Schedule a demo](https://meetings.hubspot.com/josh-gardner) to see how we can transform your executive search process\n\n2\\. **Connect us** with executive search firms, PE firms focused on executive hiring for portfolio company roles, or corporate talent acquisition teams\n\n3\\. **Share your thoughts:** We'd love your feedback on our approach to AI in executive search\n\n**Contact us** at [founders@aiflow.solutions](mailto:founders@aiflow.solutions) or [book a demo here.](https://meetings.hubspot.com/josh-gardner)",
        "url": "https://www.ycombinator.com/launches/LVl-aiflow-ai-powered-executive-search-for-the-c-suite",
        "votes": 7,
        "created_at": "2024-08-02T19:05:00.134Z"
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    "name": "Pier",
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    "long_description": "We’re building an API for launching credit products. We enable companies to compliantly offer credit by handling the tech stack for origination, underwriting and loan management with just a few lines of code. We have built-in compliance guardrails to ensure that our customers comply with state and federal regulations and assist with licensing requirements and license management. ",
    "one_liner": "Stripe for Credit - Trusted Credit Compliance Partner",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1673342537,
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    "url": "https://www.ycombinator.com/companies/pier",
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        "user_id": 1218632,
        "full_name": "Jessica Zhang",
        "title": "Founder",
        "founder_bio": "Jessica is CEO & Co-Founder at Pier. Previously, CoS/PM at Stilt (YC W16, acq. by JGW) and founding team for Onbo, Stilt’s B2B credit API product. 2x founder (Oppti, acquired), ex-JPMorgan, ex-McDonald's. $7B+ underwriting/transaction experiences across private equity, investment banking and management consulting. She's a Cornell alum and has managed teams of 30+ ppl. Fun fact: she's a ski instructor and her goddaughter is a chihuahua-mix shelter adopt. ",
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        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/pier/jobs/e7WnWVP-business-development-representative",
        "location": "San Francisco, CA, US",
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        "title": "Pier Raises $2.4 Million to Help Businesses Launch Credit Products | PYMNTS.com",
        "url": "https://www.pymnts.com/alternative-credit/2024/pier-raises-2-4-million-to-help-businesses-launch-credit-products/",
        "date": "Jan 11, 2024"
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      {
        "title": "Pier banks $2.4M to launch ‘Stripe for credit’ | TechCrunch",
        "url": "https://techcrunch.com/2024/01/11/pier-2-4m-stripe-for-credit-fintech",
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        "id": 68537,
        "title": "Pier - The fastest way to ship your own loan products 🚀",
        "tagline": "Credit Infra API built for speed & flexibility ",
        "body": "👋🏻 Hey Alex & Jess here from W23 batch!\n\n## **✨ TLDR ✨**\n\nWe’re building an **API for launching credit products**. We enable any company to offer credit by handling origination, underwriting, compliance and servicing with just a few lines of code. Using Pier, our customers can offer credit to their borrowers/users without ever directing them outside their app, while Pier’s API powers the credit and compliance stack all under the hood.\n\n## **⛔️ The Problem ⛔️**\n\nLaunching a credit product in the US is extremely complex, expensive and time consuming — Companies have to build a lending function from scratch, pay millions of dollars for a bank charter, and spend months or years to implement. These combined factors often break the unit economics of a fast-growing company and are usually not part of a company’s core competency.\n\n## **✅ Our Solution ✅**\n\nPier enables companies to go live with their own credit product in weeks, not months!\n\n🔥 **Speed is our (and your) currency** - our platform and implementation process is designed to take you live in weeks, not months\n\n🚀 **Built for developers** - API driven, flexible modules to support innovative credit products\n\n📐 **Compliance partner** - leave the toughest compliance & licensing burdens to us, so you can focus on your customers. We help you understand your licensing and compliance needs, and provide you with compliance guardrails for long term sustainability. \n\n## **⚙️ How it works ⚙️**\n\n![uploaded image](/media/?type=post&id=68537&key=user_uploads/1218632/e12a53e0-8a14-4878-8362-da74840a0188)\n\n![uploaded image](/media/?type=post&id=68537&key=user_uploads/1218632/0a66540d-b85b-4903-868d-cb9b313be48d)\n\n## **🙏🏻 Our Asks 🙏🏻**\n\n* Reach out via our [contact us form](https://www.pier-finance.com/contact) if you’d like to use our solutions\n* Share this with folks you know building credit products\n* Give us an Upvote & share!",
        "url": "https://www.ycombinator.com/launches/HpR-pier-the-fastest-way-to-ship-your-own-loan-products",
        "votes": 255,
        "created_at": "2023-01-18T23:25:45.982Z"
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    "slug": "vector",
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    "website": "https://vector.co",
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    "long_description": "B2B advertising is broken: poor targeting, wasted ad spend, bot traffic, and 3rd party-cookies. Vector helps marketers drive pipeline with contact-level targeting and revealing who's seeing your ads (even if they never convert).",
    "one_liner": "Advertising for the new internet",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1675694302,
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        "founder_bio": "Hi 👋🏼 I'm Josh. Building, Vector to help founders find, prioritize, and track the accounts they're most likely to turn into their customers!\n\nPreviously:\n- Built the SC team @ Drift from Series B - Vista acquisition 🦄\n- Exited GrowthStack - A hybrid RevOps agency + SaaS company 🎉\n- Exited GoCable - A rapid prototyping SaaS for subsea cables 🐙\n- Served as an intel analyst in the USAF ✈️",
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        "tagline": "Vector alerts sales teams when their executives, investors, and customers can intro them to their target accounts.",
        "body": "# **Problem: 74% of sales reps miss quota**\n\n👆This is why Pipeline Generation is today’s biggest problem CROs are facing!  \n\nB2B selling is hard. Buyers are inundated with noise. Modern “solutions” only automate the problem:\n\n* 2% cold call success = automated power dialers 🤮\n* 1% cold email success = mass sales engagement sequencers 👎🏼\n* Costly SDR team = AI prospecting + “virtual SDRs” that “personalize” at scale 🙅‍♂️\n\nPersonalization does not matter if no one opens your email or answers your call. There’s a monumental shift in the industry of B2B prospecting - and CROs are searching for a new playbook.\n\n# **Vector: Less Volume, More Quality**\n\nWe believe in an AI-enabled world where authentic relationships rule all.\n\nVector is the world’s only Relationship Intelligence platform — using AI to analyze 400M+ signals in real-time to identify meaningful relationships across your company’s entire network to win, retain, and expand deals.\n\n![](https://lh7-us.googleusercontent.com/V8oj_wAPmeAT7ayqDcRBSOPMM66QEMPMd0Tlwd-kgcEBr9ijOnSmtE-OOxC-4TOZQno7GE118BQwF2qJsA-Z1Mv8F-Pa7KY6Ver8YvvT4n6PnP_5I8Q1P5ahY4k7EziCs79zTJVDcEwddDbLvquKWok)\n\n# **The Shared Experience Graph™**\n\nAt Vector’s core is the Shared Experience Graph™ — a powerful data engine analyzing hundreds of signals _per relationship_ and a proprietary AI model purpose-built to find the most authentic relationships for your sales team.\n\nStop relying on manual spreadsheets, meaningless mutual LinkedIn connections, or expensive, glorified champion tracking tools that only tap a fraction of your network.\n\n![](https://lh7-us.googleusercontent.com/_WqZpni8euVAwRbQBinwgZW9xlhK3WKp3HX1mj8cppFi5ii6F_zgsONXutIpuwxqNgVbMzAe1s-F5SGaHh3aDvkKEhdMaCltw5a3Wki53OxLPpMn0-pALETUoDn1QqgZqEYqvenY8VySx8zrQ17qmOE)\n\nLet’s talk, because **84% of your B2B decision-makers start their buying process with a referral**, but finding the right trusted person to open the door for your team is extremely hard.\n\nFollow us, [Joshua](https://www.linkedin.com/in/joshuaperk/) and [Nick](https://www.linkedin.com/in/nicholasamasters/). We lived with this problem for years as GTM executives, and now we’re fixing it at [Vector.](https://vector.co/?utm_source=YC&utm_medium=Launch&utm_campaign=2024&utm_id=YC+Launch%2C+2024)",
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        "full_name": "Rahul Sheth",
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        "title": "Texel: Optimizing AI and video pipelines",
        "tagline": "Helping businesses make their GPU-based AI infrastructure 10x more efficient",
        "body": "**tl;dr: Texel makes your AI infrastructure 10x more efficient. We do this by providing tools and APIs that allow you to quickly encode or decode media and optimize models for inference.**\\\n\\\n💸 **The problem:**\\\nMany companies run inference on media, to do things like generate images or detect events in scenes. **Running inference is expensive both in compute and cost, and video decoding and encoding is too.**\n\nMost developers use the best tools available to optimize inference and media processing in isolation, but shuffling the data between these pipelines is slow. As an example, four different inference pipelines means first decoding a video frame and then sending it to each of four GPUs running different models and finally compositing all the frames before re-encoding.\n\n**😎 The solution:**\n\n![uploaded image](/media/?type=post&id=69917&key=user_uploads/1188792/4bdc96f4-6c64-44a8-bc65-c07bd88e8437)\n\nVanilla PyTorch running Stable Diffusion (left), Texel-accelerated version (right)\\\n\\\nWe optimize the entire pipeline for you, from input to inference to output, by providing APIs that allow you to control the features you want to activate and taking care of the data flow and scaling behind the scenes. You can bring your own custom models that we optimize, cutting down on inference time and reducing GPU memory size. If you want to just optimize inference, training on media, or encode a video, that’s totally fine and we can do that for you! \n\nIn the example mentioned above, the video decode, all four models, and the video encode would be streamlined to run on as few GPUs as possible. **With these optimizations, editing images and videos with AI can become real-time.** **You’ll also save money by using less GPUs.**\n\n**📖 The story:**\n\n![uploaded image](/media/?type=post&id=69917&key=user_uploads/1188792/97257823-69f1-4c89-a8b4-af5bae7b0b92)\n\nRahul (left) and Eli (right) spent years working together building one of the world’s largest GPU-based services at scale while at Snapchat and discovered many optimization techniques. **We built out and ran a fleet of thousands of GPUs serving hundreds of millions of daily active users generating over one billion images per day in real-time.** **Our optimizations saved the company over $20 million a year in operational costs.** AI is taking the world by storm and mainly runs on GPUs, so we saw an opportunity to use our expertise and build the best product in the space.\n\n**🔧 How it works:**\n\nWe deploy your models and provide an API for you to control them and run your inference faster. You can also add rendering, video encoding, or any other GPU-based workflow and it will be accelerated. The deployment can be hosted or on-premise, depending on your needs.\n\n**🙏 Our asks:**\n\n* Please reach out to us at [founders@texel.ai](mailto:founders@texel.ai) if:\n  * You are running inference and/or processing video/image data and are interested in optimization\n  * You want to try our API out and want to request an API key\n  * Would like to introduce us to others that want to optimize their MLOps and/or VideoOps",
        "url": "https://www.ycombinator.com/launches/IBh-texel-optimizing-ai-and-video-pipelines",
        "votes": 19,
        "created_at": "2023-03-03T17:03:24.107Z"
      }
    ]
  },
  {
    "id": 28183,
    "name": "Metal",
    "slug": "metal",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bdcc8475801e999a95ad750970c80614d23f5c4.png",
    "website": "https://metal.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Firm proprietary data is only as sharp as the context around it. Metal is the context platform for private capital.\r\n\r\nIt structures everything a firm has touched, every deal, company, and figure, along with every decision the deal team has made, into one context graph. So the AI tools your deal teams already rely on, like Claude, ChatGPT, and Copilot, can reason with the firm's own knowledge. Every deal feeds back into the graph, so the firm's edge compounds: each decision sharpens the one that follows.\r\n\r\nMetal is purpose-built for private equity and private credit. We turn what a firm knows into how it wins.",
    "one_liner": "The AI context platform for private capital. Everything your firm…",
    "team_size": 17,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1674209670,
    "tags": [
      "Fintech",
      "SaaS",
      "Finance",
      "Investing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/metal",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/metal.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getmetal/about/",
    "x_url": "https://x.com/metal__ai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/metal-6dfc",
    "github_url": "https://github.com/getmetal/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bdcc8475801e999a95ad750970c80614d23f5c4.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1212950,
        "full_name": "Taylor Lowe",
        "title": "Founder",
        "founder_bio": "CEO of Metal. Product manager who started in sales. DC native. Big fan of New York so now I live there.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/taylorlowe11/",
        "x_url": "https://twitter.com/T__Lowe",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fccb2375c2dc56e262189584fae495dfcca8f354.jpg"
      },
      {
        "user_id": 506814,
        "full_name": "James O'Dwyer",
        "title": "Founder",
        "founder_bio": "Co-Founder of Metal",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jamesxodwyer",
        "x_url": "https://twitter.com/softboyjimbo",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b49b1a7c0a4781597e822e509086005f86747ad.jpg"
      },
      {
        "user_id": 412427,
        "full_name": "Sergio Prada",
        "title": "Founder",
        "founder_bio": "Co founder of Metal (metal.ai)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sergiopradamora/",
        "x_url": "https://twitter.com/sergioprada666",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45999f4d54ac6c1f6f59743235bf6af0659728ff.jpg"
      }
    ],
    "jobs": [
      {
        "id": 110016,
        "title": "Forward Deployed Engineer - Strategic Account",
        "url": "https://www.ycombinator.com/companies/metal/jobs/7zlvBO4-forward-deployed-engineer-strategic-account",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $240K",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Metal Raises $5M from Base10 Partners to Transform Private Market Investing with AI",
        "url": "https://www.metal.ai/blog/seed-fundraise-announcement",
        "date": "Sep 11, 2025"
      },
      {
        "title": "In the AI arms race, Metal aims for enterprise dominance with $2.5 million war chest | VentureBeat",
        "url": "https://venturebeat.com/ai/in-the-ai-arms-race-metal-aims-for-enterprise-dominance-with-2-5-million-war-chest/",
        "date": "Jun 22, 2023"
      }
    ],
    "launches": [
      {
        "id": 77440,
        "title": "Metal - Your deal team assistant 🤘",
        "tagline": "AI Accelerated Deal Flow and Portfolio Intelligence",
        "body": "⚡**TLDR**\n\n* [Metal](https://www.getmetal.io/) is relaunching as a SaaS application for financial services and funds, with a focus on buy-side deal teams and portfolio monitoring for fund managers 🤘\n* We make deal teams 10x faster by parsing data and assisting in diligence across relevant file types - transcripts, 10-Ks/Qs, financial statements, board decks, CIMs, and more\n* Portfolio data is structured and made queryable for fund managers to better understand their investments – from running instant comps to extracting quotes from a board meeting\n* We’re rolling out Metal on a fund by fund basis – if this sounds like you, please get in touch! [founders@getmetal.io](mailto:founders@getmetal.io) or [submit your contact info here](https://www.getmetal.io/contact) 🎸\n\n**👎The problem**\n\nDeal teams are overloaded with data, yet deals remain highly competitive and are lost with an inefficient diligence process. In early diligence alone, analysts spend days reading through expert call transcripts, 10-Ks, or financial statements just to get a basic understanding of a company. This is a highly manual process – and funds are paying analysts $200k/year and up to do it. \n\nOn top of this, fund managers lack insights into their portfolio company’s historic performance, areas of focus, and if they’re deviating from plan. Tracking this data down internally is often infeasible, so managers are left in the dark and their investments are put at risk.\n\n**👍Our solution**\n\nMetal accelerates fund workflows by integrating them with the advanced capabilities of LLMs. Here’s how:\n\n**1\\. Purpose built ingestion pipelines for financial documents.** Funds can upload documents and specify the values they want extracted from datasets. Metal does the heavy lifting from there.\n\n![uploaded image](/media/?type=post&id=77440&key=user_uploads/1212950/591aea10-3d61-4c10-be1f-4b47ea9f7930)\n\n**2\\. Diligence workflows rebuilt with generative AI.** Metal extracts relevant quotes, cites sources, browses the web and more when generating responses.\n\n![uploaded image](/media/?type=post&id=77440&key=user_uploads/1212950/71312968-12bc-4380-8b3e-4c37d8aadc8d)\n\n**3\\. Fully searchable portfolios.** We structure and make all fund data queryable – from memos to board decks to financials. Spot patterns across collections of data and query for deeper insights.\n\n![uploaded image](/media/?type=post&id=77440&key=user_uploads/1212950/29e0a3b7-250f-4071-9aad-30c7f54d7e83)\n\n**🙏 Asks**\n\nToday’s launch is an exciting first step, but we’ve got a lot planned for the next 6 months!\n\nWe are rolling out Metal on a per fund basis so we can dedicate more of our resources to each implementation – we’ll work side by side with your team to ensure success.\n\n**If you’re on a PE or VC deal team, or managing a fund** – here’s how you can reach us: [founders@getmetal.io](mailto:founders@getmetal.io) or [submit your info here](https://www.getmetal.io/contact)!\n\n🤘Taylor + James + Sergio🤘",
        "url": "https://www.ycombinator.com/launches/K92-metal-your-deal-team-assistant",
        "votes": 17,
        "created_at": "2024-01-11T18:57:23.238Z"
      },
      {
        "id": 71084,
        "title": "Motörhead - LLM memory server built in Rust",
        "tagline": "Motörhead is an open-source memory and information retrieval server for LLMs.",
        "body": "## Overview\n\n[Motörhead](https://github.com/getmetal/motorhead) is an open-source memory and information retrieval server for LLMs. Built and supported by [Metal](https://getmetal.io/).\n\nAs LLM usage becomes more widely adopted, modern software products must handle users' LLM interactions, chat sessions, and retrieval for relevant prompting context at scale. With much of the performance cost being on the prompting to APIs like OpenAI and other LLMs, contextual data retrieval is ideally as fast as possible.\n\n## Features\n\n* 🪄 Modern strategies to stay within the prompt window\n* 💬 Chat session management out of the box\n* 🦜 [Langchain integration](https://python.langchain.com/en/latest/modules/memory/examples/motorhead_memory.html)\n* 🧠 Automatic Embedding generation via OpenAI ADA\n* 🕸️ Redis Vector DB forto utilize RedisSearch (semantic)\n* 💽 Short-term & long-term storage\n* 🔥 Built in Rust for performance\n\n## Roadmap\n\n* User Authentication\n* Knowledge Graph Memory handling\n* Additional support for other Embedding Models\n* [Create an issue!](https://github.com/getmetal/motorhead/issues)\n\n## Resources\n\n* Check out [Motörhead on Github](https://github.com/getmetal/motorhead)\n* Join the [Motörhead Discord](https://discord.gg/sxbFX5dsQY)\n* Suggest a [feature for Motörhead](https://github.com/getmetal/motorhead/issues)",
        "url": "https://www.ycombinator.com/launches/IUW-mot-rhead-llm-memory-server-built-in-rust",
        "votes": 19,
        "created_at": "2023-04-20T14:09:32.416Z"
      },
      {
        "id": 69701,
        "title": "Metal: Helping developers easily implement machine learning embeddings",
        "tagline": "Embeddings as a service 🤘",
        "body": "tl;dr\n\n_Metal makes it easy for developers to implement machine learning embeddings. With embeddings, we help businesses create value from unstructured data like images, text documents, videos and more._\n\nHey everyone! We’re Taylor, James, and Sergio and we’re building [Metal.](https://www.getmetal.io/?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC)\n\n![](https://lh4.googleusercontent.com/BAmRW6DjuFBKZwKTqlBZ3usUOyMeRtO_c34yip0WO65CQX-VCS3IeNXKPOE57AdV-HApI_CC0QjqVgurwEDxHJSDo9BxV5Pve7VXz20yulLPBNYbSKHQXqSxhLowmbYOUlQ7c3sln6lJ4eRTuVMRmL0)\n\n**What’s the problem?**\n\nEmbeddings are super powerful but they’re too hard to use. We learned this the hard way while building machine learning products at companies like Spotify and Meta. Getting to production for simple features (or so we thought) was incredibly painful.\n\nThe team would put weeks into offline training only for the data to be stale in production. It was difficult to iterate on models without versioning. Fine-tuning was highly inefficient. When we finally did get a model deployed there were immediate scaling concerns. It once took us 6 frustrating months to ship a simple embedding classification feature 🤦\n\nCompanies shouldn’t need to reinvent the wheel to use embeddings.\n\n**What’s the solution?**\n\nMetal gives you all the tools you need to quickly and easily implement embeddings against your data in production. \n\n* We integrate with your data sources\n* We generate and store your embeddings\n* We provide real time indexing and search APIs\n* We provide versioning\n* And we make it easier to fine tune embeddings via Metal’s API or SDKs\n\nYou can get started in as little as five minutes.\n\n![](https://lh5.googleusercontent.com/izlgcDfSdm-FgMwj8Cns-nsnN2GmkAuUtdsSCQKuLawBY0fcv3KZjgkjiwxa7yiOpbPOnNZs_uN9ERNmCS8ZVVP3IC-NY-qHBe1cuipof9D7JKskIn6FvN-BSuYULjJGJPb6xYyi3e47OUDZ2qm9c4U)\n\n![](https://lh4.googleusercontent.com/nOmwv8oD-qYgxa_m6enimIFMTirXP1olznsJv1UrojbT2lf69WdR0vxc2xLkX8TceIfAusPKPFopsM2vjXcGXIJMDMHQz9lgJhmxPr2qcOI3uS5_b7LI44k1HvaYeFSF2uGvHp1fpgMzuqVsU31sNaA)\n\n**Ok so it’s easy to use, but what about some real world use cases?**\n\n* Better personalization for your users through behavioral clustering\n* Search and compare similarities between data types, such as images or videos\n* Understand how your customers feel by classifying their free text reviews\n* Make the most of internal resources by supporting semantic search of text documents, PDFs, call notes and more\n\n**Our ask:**\n\n1. [**Sign up for early access**](https://www.getmetal.io/?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC) and we will get in touch! [You can also book a time here to learn more](https://calendly.com/metal-taylor/metal-30-minutes-landing?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC).\n2. **Introduce us to companies** who could use Metal. We mostly work with small to medium size companies (10-200 people) who have raised a series A. These companies have an embeddings use case but don’t want to spend the time/resources to build it from scratch.\n3. **Help us build the future** :) If you’re experienced with embeddings and want them to be simpler, then we’d love to hear from you. Please get in touch: [founders@getmetal.io](mailto:founders@getmetal.io)\n\nYou can also follow us on [Twitter](https://x.com/metal__ai) or [Linkedin](https://www.linkedin.com/company/getmetal?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC) :) 🤘\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/I8D-metal-helping-developers-easily-implement-machine-learning-embeddings",
        "votes": 179,
        "created_at": "2023-02-27T14:57:53.771Z"
      }
    ]
  },
  {
    "id": 28192,
    "name": "Skyhook",
    "slug": "skyhook",
    "former_names": [
      "Koala Ops"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4df2dc3a8591521492f4797ca92971742623b68.png",
    "website": "https://skyhook.io",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "We make running services on Kubernetes as easy as Heroku, but on your cloud and with all the flexibility and power of Kubernetes. Companies use Skyhook so that they don't have to hire dedicated infrastructure engineers.\r\n\r\nAlthough 50-70% of organizations have already adopted Kubernetes, most developers agree that it is too complex and difficult to manage. It is intended to be extremely flexible in order to solve pretty much everyone’s needs, but it can take a ton of work and many auxiliary tools to get there.\r\n\r\nAs companies grow, they spend a lot on DevOps or Platform Engineers that try to reduce the burden on developers by gluing together all the 3p tools via custom internal tools.\r\n\r\nWe are building an “internal developer platform” out of the box, with best practices and golden paths for building and operating services on Kubernetes.\r\n\r\nWe do the research on the latest and greatest tools in the extremely vibrant ecosystem, and automatically integrate for you the tools you want to use.\r\n\r\nWe operate on our customers code and in your Cloud environment, so they never locked in and never restricted, as is common with classic PaaS offerings.\r\n\r\nIf you prefer a fully hosted environment like Heroku, Fly or Vercel, we’ll host a cluster for you and offer you a one-click migration to your own cluster when you want.",
    "one_liner": "PaaS-like experience with the power of Kubernetes, on your cloud",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677416596,
    "tags": [
      "Developer Tools",
      "SaaS",
      "B2B",
      "Kubernetes",
      "DevOps"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Israel",
      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/skyhook",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/skyhook.json",
    "year_founded": 2023,
    "city": "Tel Aviv-Yafo",
    "country": "IL",
    "linkedin_url": "https://www.linkedin.com/company/skyhook-io",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/skyhook-io",
    "github_url": "https://github.com/skyhook-io",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4df2dc3a8591521492f4797ca92971742623b68.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/01183b0b057b61e1d3b92a001dc8882ec033a95c.png"
    ],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1233800,
        "full_name": "Nadav Erell",
        "title": "Founder",
        "founder_bio": "Experienced Software Engineer and team leader, with a passion for technology, product and strategy.\n\nSpent 9 years at Google working on Identity and Authentication, internal Google User Analytics, Notifications infrastructure, and Google Cloud, with multiple roles as TL / Architect.\n\nStudied Computer Science and Electrical and Computer Engineering (double degree) at Ben-Gurion University, graduating Summa Cum Laude in both.\n\nServed as an Intelligence Analyst in Unit 8200 in the Israeli Army.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nadav-erell/",
        "x_url": "https://twitter.com/nadaverell",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77bd824548fd700e13ef12c5620d8ff8a63df0e4.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 69952,
        "title": "Skyhook - Kubernetes the easy way 🚀",
        "tagline": "We make running services on Kubernetes as easy as Heroku, but on your cloud and with all the flexibility and power of Kubernetes.",
        "body": "**TL;DR; We help you set up production-ready services in minutes instead of days and weeks, with all the tools you need and Kubernetes best practices out of the box, so that you can focus on your code. [Talk to us](https://calendly.com/oded-koalaops/meeting) to learn more!**\n\n**Also, if you need help with migrating/working with Kubernetes please [contact us ](https://mailto:founders@skyhook.io)for a free consultation. We’d love to learn and help.**\n\nHi everyone, we’re Oded Regev and Nadav Erell, the founders of [Skyhook](https://www.skyhook.io/?utm_source=ycombinator&utm_medium=website&utm_campaign=yclaunch).\n\n![uploaded image](/media/?type=post&id=69952&key=user_uploads/1233799/182a0cd6-8737-48d0-9543-543907a62b1b)\n\n[**Nadav, CTO**](https://www.linkedin.com/in/nadav-erell/) formerly a Staff Software Engineer and an experienced team leader and architect at Google. Deep technical experience building scalable, robust systems in cloud native environments.\n\n[**Oded, CEO**](https://www.linkedin.com/in/odedregev/) founded and led Cherrypick Consulting for 7 years with diverse customers including Gong.io, Mixtiles, Outbrain, OpenWeb and many more. \n\n# The Problem\n\nAlthough [50-70%](https://www.cncf.io/reports/cncf-annual-survey-2022/) of organizations have already adopted Kubernetes, most developers agree that it is too complex and difficult to manage. It is intended to be extremely flexible in order to solve pretty much everyone’s needs, however, it can take a ton of work and many auxiliary tools to get there.\n\nAs companies grow, they spend a lot on DevOps or Platform Engineers that try to reduce the burden on developers by gluing together all the 3rd party tools via custom internal tools.\n\n# Our Solution\n\nWe give you an “internal developer platform” out of the box, with best practices and golden paths for building and operating services on Kubernetes.\n\n![uploaded image](/media/?type=post&id=69952&key=user_uploads/1233799/9f8423a0-3f16-48f6-911c-d8e6234bfbc1)\n\nWe do the research on the latest and greatest tools in the extremely vibrant ecosystem, and automatically integrate for you the tools you want to use.\n\nWe operate on your code and in your Cloud environment, so you’re never locked in and never restricted, as is common with classic PaaS offerings.\n\nIf you prefer a fully hosted environment like Heroku, Fly or Vercel, we’ll host a cluster for you and offer you a one-click migration to your own cluster whenever you want.\n\n# **Our Ask 🙏**\n\n[Contact us](https://mailto:founders@skyhook.io) - We have a few last slots left in our beta - we’d love to see if we can help you step up your Kubernetes game or migrate, so that you can focus on building your own product instead of configuring YAML files and tools all day.\n\n### **We also offer free Kubernetes consultation!**\n\nPlease [contact us](https://mailto:founders@skyhook.io) or [book time](https://calendly.com/nadaverell) - we’d love to assist, even if you don’t end up using our product. Learning about real-life challenges that you are facing and trying to help you navigate them helps inform our roadmap and focus.",
        "url": "https://www.ycombinator.com/launches/ICG-skyhook-kubernetes-the-easy-way",
        "votes": 49,
        "created_at": "2023-03-05T21:35:40.921Z"
      }
    ]
  },
  {
    "id": 28216,
    "name": "Escape",
    "slug": "escape",
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      "Escape",
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      "Escape",
      "Escape - GraphQL Security",
      "Escape - Modern Application Security"
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    "website": "https://escape.tech",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Replace legacy scanners and manual offensive security processes with AI agents that discover, test, and remediate directly in your engineering workflows.",
    "one_liner": "Offensive security for the teams that are 100x outnumbered",
    "team_size": 29,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1674779031,
    "tags": [
      "Developer Tools",
      "Security",
      "API",
      "GraphQL"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "France",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/escape",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/escape.json",
    "year_founded": 2020,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/escapetech",
    "x_url": "https://twitter.com/escapetechhq",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/escape-b74e",
    "github_url": "https://github.com/Escape-Technologies/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0210bbcb75b7ba7c4519705bd24c324666b9538b.png",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1709764,
        "full_name": "Tristan Kalos",
        "title": "Founder",
        "founder_bio": "Building Escape (YC W23) to help AppSec and Engineering teams secure their Single Page Apps, APIs, and Microservices. Previously ML engineer at source{d} and researcher at UC Berkeley. Passionate about solving complex business problems with creative technology or user experiences. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tkalos",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/974be13b71b658127ab50adf890409c4b115df2e.jpg"
      },
      {
        "user_id": 1167886,
        "full_name": "Antoine Carossio",
        "title": "Founder",
        "founder_bio": "🇫🇷 • Engineer • UC Berkeley • Apple",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/acarossio",
        "x_url": "https://twitter.com/icarossio",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a423c0fb183e5b9696de588124a6cbdefe8c2193.jpg"
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    "jobs": [
      {
        "id": 84153,
        "title": "Head of Sales ",
        "url": "https://www.ycombinator.com/companies/escape/jobs/yfEXoM2-head-of-sales",
        "location": "New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $400K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Escape raises $18M Series A to replace legacy scanners with AI agent-driven discovery, pentesting, and remediation",
        "url": "https://escape.tech/blog/escape-raises-18m-series-a/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "New Security Research: We discovered over 2k high-impact vulnerabilities and PII in apps built with vibe coding platforms",
        "url": "https://escape.tech/blog/methodology-how-we-discovered-vulnerabilities-apps-built-with-vibe-coding/",
        "date": "Oct 29, 2025"
      },
      {
        "title": "Meet Escape Copilot: Automate App and Scan Management via MCP",
        "url": "https://escape.tech/blog/meet-escape-copilot-automate-app-and-scan-management-via-mcp/",
        "date": "Jun 05, 2025"
      },
      {
        "title": "Escape DAST Now in Beta: Front-End & SPA Testing Made Easy",
        "url": "https://escape.tech/blog/front-end-dast-beta/",
        "date": "Dec 10, 2024"
      },
      {
        "title": "Fortune 1000 at risk: How we discovered 100k vulnerabilities",
        "url": "https://escape.tech/blog/fortune-1000-at-risk-30k-exposed-apis-100k-vulnerabilities/",
        "date": "Nov 20, 2024"
      }
    ],
    "launches": [
      {
        "id": 69497,
        "title": "🛡 Escape - Secure your GraphQL APIs",
        "tagline": "We help companies create Fast, Secure, and Reliable GraphQL APIs",
        "body": "### **tl;dr:** **Securing GraphQL is hard.** Escape makes it easy for developers to build secure and reliable GraphQL APIs. **You can test it for free and get your results in seconds** using this link: <https://app.escape.tech/ycw23>\n\nHello everyone, we are Antoine and Tristan, the founding team behind Escape.\n\n![uploaded image](/media/?type=post&id=69497&key=user_uploads/1231138/4111cf07-557b-4da5-ad36-d2336aa3913a)\n\n🧠 **Tristan** (left) previously worked as a **GraphQL Developer** and experienced himself the need for better tooling in this ecosystem. 💪 **Antoine** (right) previously worked as a security engineer for the French Government and **Apple** 🍎 which led him to the journey of helping developers secure their code.\n\n### 🛡 Why are we building Escape?\n\nGraphQL has seen exponential growth in the past years and is now used by 20% of all developers. Companies like **Paypal**, **Walmart**, **Twitter**, and **Airbnb** are now all relying on GraphQL APIs for **their** **core businesses**.\n\nYet, we observed that most - as in like **95%** - of GraphQL APIs that exist today are insanely vulnerable to cyberattacks.\n\nThe reason is simple: GraphQL has an entirely different structure than traditional APIs like REST.\n\nExisting security tools do not support it, leaving GraphQL developers and organizations completely blind to the security of what they release and **putting their business at risk**.\n\n### 🎯 Our solution\n\nWe aimed to build the GraphQL Security Testing tool that devs would love. As developers ourselves, we think such a tool would\n\n*  _be_ **fast to run in CI/CD**\n*  _be super_ **easy to set up** and maintain\n*  _give_ **relevant results**\n\nExisting tools fail at achieving the latter because they rely on brute-forcing API requests. Thus, most requests are blocked at the validation layer, failing to test the actual code.\n\nAt Escape, **we developed a new approach called _feedback-driven API exploration_**. We crafted a graph traversal algorithm that learns from the API's responses how to generate requests that actually make sense from a business standpoint.\n\n![uploaded image](/media/?type=post&id=69497&key=user_uploads/1231138/4d4ffbf4-e5af-46b9-927d-904530700300)\n\n_Requests generated by bruteforce (left) vs. **Escape’s feedback-driven exploration** (right)_\n\nUsing this technique, we are able to pass the validation layer and test the code of the application at a deeper level than previous solutions. So far, we have achieved **more than 80% coverage** in most applications without fine-tuning.\n\n### 🚀 let us assess the security of your GraphQL API for free in seconds\n\nIn only 6 months, we partnered with **Snyk** and **Postman**, got into the GraphQL foundation, and worked with companies like **Neo4j** and **ArangoDB**.\n\n👉 If you are using GraphQL yourself, you are welcome to try our platform and **get your application's security report for free**, as **we unlocked all the features for the YC community**: <https://app.escape.tech/ycw23>!",
        "url": "https://www.ycombinator.com/launches/I4v-escape-secure-your-graphql-apis",
        "votes": 1096,
        "created_at": "2023-02-21T19:45:54.930Z"
      }
    ]
  },
  {
    "id": 28218,
    "name": "Kyber",
    "slug": "kyber",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3004c4a72b716a80763763b95bf3e212c448756e.png",
    "website": "https://askkyber.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "With Kyber, companies operating in regulated industries can quickly draft, review, and send complex regulatory notices. For example, when Branch Insurance's claims team has to settle a claim, instead of spending hours piecing together evidence to draft a complex notice, they can simply upload the details of the claim to Kyber, auto-generate multiple best in-class drafts, easily assign reviewers, collaborate on notices in real-time, and then send the letter to the individual the notice is for. Kyber not only saves these teams time, but significantly improves consistency, compliance, and personalization. ",
    "one_liner": "Instantly draft, review, and send complex regulatory notices.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677372539,
    "tags": [
      "Generative AI",
      "SaaS",
      "Insurance",
      "Enterprise",
      "Regtech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kyber",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/kyber.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ask-kyber/",
    "x_url": "https://twitter.com/AskKyber",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/kyber",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3004c4a72b716a80763763b95bf3e212c448756e.png",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 271067,
        "full_name": "Arvind Sontha",
        "title": "Founder",
        "founder_bio": "Arvind Sontha is Founder & CEO of Kyber. He is a repeat founder with an entrepreneurial spirit that started in his childhood, when he started a local pet care business. Since then, his entrepreneurial endeavors have taken him across numerous industries, building in EdTech, Dating, Insurtech, and AI. During this time, Arvind also signed full-time with Google at 19, founded Subtle Curry Dating (~250k members on Facebook), and became a licensed insurance agent.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arvind-sontha/",
        "x_url": "https://twitter.com/ArvindSontha",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6db185fb8a67fa875d1775d6725f3f8cc2776327.jpg"
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    ],
    "jobs": [
      {
        "id": 110021,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/kyber/jobs/eturrAR-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $150K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "SQL"
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      }
    ],
    "news": [],
    "launches": [
      {
        "id": 79877,
        "title": "Kyber LetterGen 📝 Compose and send complex claim notices",
        "tagline": "We help claims teams instantly draft, review, and send complex notices.",
        "body": "**_tldr;_** _We make it simple for claims teams to instantly draft, review, and send complex notices to insureds, claimants, and third parties (like attorneys). With GenAI draft generation, real-time collaborative editing, integrated review workflows, and omnichannel delivery, Kyber’s LetterGen is able to supercharge the process of creating claim denial, partial denial, and settlement notices for even the most complex claims._ **Book a demo on our [website](https://askkyber.com?utm_source=ycombinator&utm_medium=launch&utm_campaign=claims_launch_yc) to learn more!**\n\n**—**\n\n# **🧨 Problem: Regulated notices are tedious and high-risk.**\n\nFor claims teams, state departments of insurance typically have very clear guidelines around the specific types of notices an insurer is supposed to provide to the parties involved. These include notices like claim acknowledgment, status updates, proactive reservations of rights, and finally, either a claim denial, partial denial, or settlement letter detailing what finally is or isn’t covered.\n\nWhile that may seem straightforward, many organizations fail to meet these requirements as adjustors struggle to efficiently write notices up to the required quality bar. Numerous carriers we’ve talked to and currently work with have audited their claims organizations and found that their teams spend upwards of **30% of their working hours** just handling these notices.\n\nWhy? Many times, these notices end up in a court of law where an unhappy claimant will sue the insurer, arguing that the notice was ambiguous.\n\n# **🎉 Solution: One platform to consolidate, collaborate, and send notices.**\n\nKyber’s LetterGen helps companies streamline their notice creation process, removing tedious overhead and minimizing risk from claimants suing companies for acting in bad faith.\n\n![](https://www.ycombinator.com/media/?type=post&id=79877&key=user_uploads/271067/33ede188-d105-4957-a9e3-5f109a3b9320)\n\nOut of the box, Kyber’s LetterGen comes with:\n\n* Automatic policy language extraction 🔍\n* Personalized draft creation powered by GenAI 🤖\n* Integrated review workflow ⭐\n* Real-time collaborative editing and commenting 💬\n* Full history and version tracking support 🕗\n* Basic template creation and management 📄\n* Progress tracking across your notice funnel 📊\n* Pre-built integrations into claims systems and mailing systems ✉️\n\n### **Our ask 🙏**\n\n* Connect us with Operations or Claims leaders at TPAs, Carriers, MGAs, or Reinsurers ➡️ [sav@askkyber.com](https://mailto:sav@askkyber.com).\n* If you or your organization operate in a regulated industry (Healthcare, Loans, Banking, Utilities, etc.) and are required to generate similar notices for third parties, we’d love to learn more ➡️ [founders@askkyber.com](mailto:founders@askkyber.com)",
        "url": "https://www.ycombinator.com/launches/KmL-kyber-lettergen-compose-and-send-complex-claim-notices",
        "votes": 21,
        "created_at": "2024-04-02T15:41:18.646Z"
      },
      {
        "id": 69780,
        "title": "Kyber - ChatGPT for enterprise support",
        "tagline": "Kyber embeds AI intelligence into enterprise support workflows to accelerate customer success teams.",
        "body": "# TL;DR Instead of digging across resources to find the right answer, Kyber provides highly specific and accurate answers right at your fingertips.\n\n### Who Is It For?\n\nAny company/enterprise that gets repeat questions about the same thing over and over again that they’ve already documented or answered.\n\n### How It Works\n\n⚡ Install our **Slack/Discord/Front/Intercom** Apps each in **two clicks**\n\n**⚙️** We’ll ingest your knowledge base (typically public documentation) and configure them into your preferred access channels\n\n**❓** Go to town asking Kyber for help on questions about your knowledge base\n\n🔍 Gain important insights into user questions and team questions, which you can then use to further refine your knowledge base\n\n🚀 Accelerate support, onboarding, and more at speed of AI\n\nDirect Response Flow:\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69780&key=user_uploads/271067/061a2882-761b-4b9d-83cf-edf2fc8ba501)\n\nHidden Response Flow:\n\n![uploaded image](/media/?type=post&id=69780&key=user_uploads/271067/98d2c6ea-889d-45a7-a4bc-33b6d11a4626)\n\n# Why We Built Kyber\n\n🤔 We started Kyber because we were frustrated with the tradeoffs that different resources and support channels provide today. At the end of the day, we realized that end users just want factually correct answers and they want them NOW.\n\nExisting resources each make tradeoffs between speed, relevance, and trust:\n\n* Documentation (Immediately available, but not easy to search or always up to date): \n  * Speed ✅\n  * Relevance ❌\n  * Trust ✅\n* Community (Friendly, but not sure if answers are trustworthy):\n  * Speed ✅\n  * Relevance ✅\n  * Trust ❌\n* Support Staff (Relevant and trustworthy answers, but usually very slow):\n  * Speed ❌\n  * Relevance ✅\n  * Trust  ✅\n\nWe help bridge these gaps by either providing your users a direct interface for help or by enabling your CX teams to quickly search and generate answers using our flows.\n\n# How Can I Try It?\n\nEmail us at [founders@askkyber.com](mailto:founders@askkyber.com)\n\nWe’ll set up a custom demo where you’ll be able to try it out firsthand on top of your chosen knowledge base. Once you’re happy, we’ll give you and your team a white-glove onboarding experience.\n\nHave any additional flows, knowledge base sources, or integrations in mind? Let us know! We’re more than happy to support it and already have a few more exciting features planned for the future (stay tuned 😉).",
        "url": "https://www.ycombinator.com/launches/I9U-kyber-chatgpt-for-enterprise-support",
        "votes": 32,
        "created_at": "2023-02-28T20:08:07.488Z"
      }
    ]
  },
  {
    "id": 28221,
    "name": "Serial",
    "slug": "serial",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8354b5bea40df992c6f00ba3131da07c65e1300.png",
    "website": "https://www.serial.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Serial is software to help manufacturers root cause problems in minutes not days and avoid millions in liabilities. Our solution integrates with data sources from any production line, enabling engineering & operations teams to ask questions about their manufacturing data and instantly get answers. Serial will become the single source of truth for manufacturing data.\r\n\r\nOur founding team has 10+ years of manufacturing and product design experience from Apple, Tesla, and more. We have suffered this problem firsthand and are building the tool to fix it.",
    "one_liner": "Root cause manufacturing issues in seconds",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677010841,
    "tags": [
      "SaaS",
      "Analytics",
      "Manufacturing"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/serial",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/serial.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/serialmfg/",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1235892,
        "full_name": "Tak Alguire",
        "title": "Founder",
        "founder_bio": "Co-founder at Serial (W23). I've spent my carreer in the manufacturing space at Apple and Google. Now I lead the product team at Lumafield, making the best CT equipment in the world. Always will to trade notes with founders in the hardware/manufacturing space. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/tak-alguire/",
        "x_url": "https://twitter.com/tak_alguire",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7706faad70cc1b9507fe2a3181d9435c108126e4.jpg"
      },
      {
        "user_id": 1208864,
        "full_name": "Devon Copeland",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of Serial (W23). Devon has spent over 5 years working in hardware engineering at companies like Apple, Tesla, and Aeryon Labs. His obsession with timely, data-driven decision making has guided the engineering of several features on Apple Watch Ultra and the Model 3. Today, Devon is laser-focused on bringing his wealth of analytical engineering knowledge to Serial, thereby unlocking new cheat codes for any company making physical products.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dkccopeland/",
        "x_url": "https://twitter.com/devonkcopeland",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c510b7fa22096ecee2a33dfa2275d3148e7a4caa.jpg"
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    ],
    "jobs": [],
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    "launches": [
      {
        "id": 69709,
        "title": "Serial - Unify your manufacturing data",
        "tagline": "Helping engineers root cause manufacturing issues in minutes ",
        "body": "### **TL;DR**\n\n[Serial](https://www.serial.io/) unifies data from your manufacturing process, enabling engineers to save time and root cause issues immediately.\n\n### **The Problem**\n\n* Root-causing manufacturing issues is a painful and time-consuming process that requires collecting and aligning all forms of data - log files, dimensional measurements, supplier reports, images, etc.\n* These costly problems result in millions of dollars in lost production capacity, scrapped parts or product recalls.\n\n### **The Solution**\n\n* A pipeline to collect, parse, clean and structure data from any source on a production line\n* Models to identify local trends or deviations in data to escalate quality risks in realtime\n* Single platform to ask any question about your data and immediately get an answer\n\n![uploaded image](/media/?type=post&id=69709&key=user_uploads/1235892/1d0a0ce5-e134-43ed-839e-b2ee1da42986)\n\n### **The Team**\n\nWe are Waterloo grads with 10+ years of experience in product design and manufacturing quality from Apple, Tesla, and North. We have suffered this problem firsthand and are building the tool we wish we had.\n\n![uploaded image](/media/?type=post&id=69709&key=user_uploads/1235892/4ee36f70-60d5-4903-9a22-d325dbead0e3)\n\n### **The Ask - Intros to Manufacturers**\n\nIf you are manufacturing products and share this pain, then reach out to [founders@serial.io](mailto:founders@serial.io) or sign up directly at [serial.io](https://www.serial.io/contact-us)",
        "url": "https://www.ycombinator.com/launches/I8L-serial-unify-your-manufacturing-data",
        "votes": 26,
        "created_at": "2023-02-27T17:43:34.649Z"
      }
    ]
  },
  {
    "id": 28301,
    "name": "Persana AI",
    "slug": "persana-ai",
    "former_names": [
      "ViralCopy",
      "Outboundify",
      "Perspectiva",
      "Persana"
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    "long_description": "Persana AI | The Agent Layer for Modern GTM Teams\r\n\r\nAI Superpowered Sales & GTM Intelligence — built on autonomous agents\r\n\r\nAI agents that research, enrich, and engage your best prospects — autonomously, not just automated.\r\n\r\nThe Shift from Tools to Agents:\r\nYour GTM stack is fragmented. Multiple enrichment providers. Workflow tools with hard limits. Manual triggers. Disconnected data. Persana consolidates it all into one agentic platform that thinks, learns, and executes — 24/7.\r\n\r\nWhat Persana Does:\r\n🔍 Multi-Source Intelligence – 100+ data sources tracking funding, hiring, tech changes, real-time intent signals, waterfall data for finding emails, phone numbers and more\r\n🤖 Autonomous Execution – Run complex workflows across 100K+ prospects without manual triggers or platform limits\r\n🧠 Continuous Learning – AI that adapts based on what actually converts to pipeline, not predefined rules\r\n⚡ Native CRM Integration – Bi-directional sync with Salesforce, HubSpot, and your entire GTM stack\r\n\r\nWhy Teams Choose Persana:\r\n\r\nReplace fragmented point solutions with one autonomous platform\r\n- Break free from workflow ceilings and platform constraints\r\n- Access comprehensive signal intelligence across all major data sources\r\n- Scale prospecting without adding headcount\r\n\r\nResults Customers See:\r\n✓ 95% increase in qualified pipeline\r\n✓ 65% faster sales cycles\r\n✓ 3+ weeks per month reclaimed from manual work\r\n✓ 30% higher conversion rates\r\n\r\nThe Technology:\r\n\r\nTrained on 700M+ contacts and 200M+ companies, and 100+ data sources. Multi-agent architecture combining research, enrichment, and execution. Proprietary embeddings fine-tuned for GTM use cases.\r\n\r\nThe Team:\r\n\r\nBuilt by LinkedIn engineering veterans who scaled systems to billions of users. Backed by Y Combinator, Dharmesh Shah, Race Capital, and Stage 2 Capital.\r\n\r\n🚀 Join 15,000+ GTM professionals using agents to boost their revenue → persana.ai\r\n\r\n\r\n\r\n\r\n",
    "one_liner": "Sales Agents with 100+ data sources to close more deals",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
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    "regions": [
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        "full_name": "Sriya Maram",
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        "founder_bio": "Cofounder and CEO at Persana AI. I've previously been a PM at Linkedin working on customer data and have built a successful generative AI tool in the past. I'm now focused on helping businesses leverage the incredible power of AI and making it more accessible. ",
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        "full_name": "Rush Shahani",
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        "founder_bio": "Co-Founder of Persana AI. I've been an AI Engineer focused on NLP for the last 5 years. \nPrev experience: LinkedIn, ElementAI (acquired), Shopify",
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      {
        "id": 70055,
        "title": "🎯📈 Persana AI - Sales copilot to boost productivity",
        "tagline": "Persana AI is a sales copilot that easily surfaces unique lead insights and generates personalized outbound in your company's voice.",
        "body": "_TL;DR: Sales teams spend hours researching prospects and writing emails. **Persana AI boosts sales productivity by building a fine-tuned model for your sales team** which combines CRM data with real-time web signals and uses this to easily write hyperpersonalized outbound._\n\n### 👋 Hey YC we're Sriya and Rush and we're building [Persana AI](https://www.persana.ai/)! \n\n### **❌ The Problem**\n\nIn this macro-environment, it is now more important than ever for **sales teams to concentrate their efforts on the most promising prospects** and close more deals efficiently. However data is distributed across hundreds of different touch-points like CRMs and Outreach, causing **teams to lose out on ripe opportunities.** On top of this, writing hundreds of personalized emails across different lead stages is a cumbersome task that takes time away from actually selling to qualified leads.\n\n## **✨ Our Solution**\n\nPersana AI is an AI copilot for sales teams to easily identify promising leads by combining CRM data with real-time signals. The AI can then quickly generates personalized outbound in your company's voice so sales teams can make the most of ripe opportunities. For instance, when a lead visits the company website or gets funding, Persana AI can notify the sales team and generate an email to send out right away.\n\n### **⚙️ How it works**\n\nPersana AI's proprietary engine brings together historical email campaign data, CRM and internal data, and publicly available data points to build a fine-tuned model for the team. Additionally, leveraging Persana's proprietary engine, we are able to identify the leads with the highest likelihood of conversion, allowing sales teams to focus their efforts on these leads and achieve a higher ROI in less time.\n\n## 🎯 **Our Products**\n\n👉 Personalized email combining different sources of insights\n\n![uploaded image](/media/?type=post&id=70055&key=user_uploads/563858/fd21fdb2-58c6-465a-a386-2e160e802641)\n\n👉 Chrome Extension to get insights and generate anywhere!\n\n![uploaded image](/media/?type=post&id=70055&key=user_uploads/563858/7202244e-7162-449f-8567-0302c6eabd49)\n\n👉 Quickly get answers and notified about high intent leads.\n\n![uploaded image](/media/?type=post&id=70055&key=user_uploads/563858/362d3690-dbf1-4239-bb5a-67e0f2155968)\n\n### 🤝 Meet The Team\n\nSriya and Rush met while working at Linkedin where they worked on customer data platform and search teams respectively. Rush has been working in the NLP/gen-AI space for over 4 years and Sriya has been working in the CDP/AI space to help businesses make the most of their data. They’ve launched a successful AI product before and one of the key insights they uncovered was generic AI models don’t perform well for business use-cases - leading them to build Persana AI. \n\n![uploaded image](/media/?type=post&id=70055&key=user_uploads/563858/eb86afc8-916f-4c8e-835e-4e5172dad89d)\n\n### **🙏 Asks**\n\nIf you’re a sales team that would like to try us out - please book a time with me [here](https://calendly.com/sriyamaram/sri-intro?month=2023-03)!\n\nIf you have any intros to sales leaders - I’d love to chat. My email is [sriyamaram@gmail.com](mailto:sriyamaram@gmail.com) ",
        "url": "https://www.ycombinator.com/launches/IDv-persana-ai-sales-copilot-to-boost-productivity",
        "votes": 50,
        "created_at": "2023-03-08T19:16:07.877Z"
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    "id": 28361,
    "name": "Lightski",
    "slug": "lightski",
    "former_names": [
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      "Lightski",
      "Streamstraight"
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    "website": "https://www.lightski.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lightski implements AI agents to replace document-heavy enterprise workflows. One document-heavy customer now processes intake in 10 minutes instead of 2 days, with a > 5x decrease in cost. \r\n\r\nTo do so, we audit and rebuild the entire substrate your business runs on, native to AI. From document-heavy intake to back-office execution, automatically drive your top line with Lightski agents.",
    "one_liner": "Transform Document Workflows with AI Agents",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1678895856,
    "tags": [
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      "Generative AI",
      "SaaS",
      "B2B"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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      "America / Canada"
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        "full_name": "Hansen Qian",
        "title": "Founder",
        "founder_bio": "Hansen is the the cofounder of Lightski. Previously, Hansen was a founding engineer and engineering manager at Affinity CRM.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hansenq",
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    "news": [
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        "title": "Una apuesta de Y Combinator que impulsa la IA generativa | Emprendedores",
        "url": "https://www.expansion.com/expansion-empleo/emprendedores/2023/05/03/645247fee5fdeaa9148b4653.html",
        "date": "May 04, 2023"
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      {
        "id": 87552,
        "title": "Lightski",
        "tagline": "Audit and rebuild the entire substrate your business runs on, natively with AI.",
        "body": "Don't just automate tasks. We audit and rebuild the entire substrate your business runs on, natively with AI. From document-heavy intake to back-office execution, automatically drive your top line with Lightski agents.\n\n![uploaded image](/media/?type=post&id=87552&key=user_uploads/68558/97044200-bcd0-4229-84c4-217b3e952f28)\n\nIf you’re a company looking to pilot a plan for your entire team, please email [founders@lightski.com](mailto:founders@lightski.com). ",
        "url": "https://www.ycombinator.com/launches/Mm8-lightski",
        "votes": 41,
        "created_at": "2025-02-10T17:57:02.574Z"
      },
      {
        "id": 80683,
        "title": "Lightski - Embed an AI data scientist in your app",
        "tagline": "Embedded data analytics more powerful than Tableau and Looker by pairing AI with code execution",
        "body": "**tl;dr:** Lightski helps you build an analytics experience for your users that answers any arbitrary question about their data. We provide embedded data analytics more powerful than Tableau and Looker by pairing AI with code execution, which eliminates hallucinations.\n\n## Why?\n\nBefore YC, I was an engineering manager at Affinity CRM, where we spent six figures on an embedded analytics solution. Even then, our users were never happy; they either didn’t know how to navigate the complex UI or wanted even more advanced analytics. Most customers ended up exporting the data themselves and running their own analysis (not an ideal solution).\n\nRecent AI advancements remove this trade-off, enabling a natural language interface and powerful code-based analysis. We started Lightski to quickly give your users the full power of a data scientist, without needing to know a line of code.\n\n## User Experience\n\nWith Lightski, you’re able to embed an AI Data Scientist in your app, pre-loaded with your users’ data. Your users can then explore a dataset however they want; in response, we generate and execute code to perform analyses, such as:\n\n* Create custom graphs, charts, and dashboards\n* Perform arbitrary filters, group-bys, and aggregations\n* Transform or clean data for a custom CSV export\n\nAnything that a data scientist can accomplish in code can now be accomplished with Lightski. Best of all, your users won’t even know we’re powering the experience—you can quickly re-theme our UI with your design system.\n\n![uploaded image](/media/?type=post&id=80683&key=user_uploads/68558/dea1307b-ab28-464c-acf0-f89373cf1dfe)\n\n## Under the Hood\n\nWe rely heavily on state-of-the-art LLM models to guide the analysis, but there’s a lot of other capabilities built in-house that power the experience:\n\n* Secure and isolated per-user code execution environments\n* Native connectors for the most common databases\n* Code-based ETL, for flexible data pre-processing and transformation\n* Support for image generation and CSV export\n* Embeddable streaming UI that supports custom theming\n\nWe’re building fast and will also soon launch:\n\n* Interactive charts and even more customizable dashboards\n* Direct API access to our safe code execution environments and ETL pre-processing features\n* Guided assistants, for less technically-savvy users\n\nand much more! Let us know if you’re interested in any of these and we’ll prioritize it for you.\n\n## Get a Demo\n\nThe fastest way to get access to Lightski is by [signing up for our waitlist](https://forms.gle/Sj239WNvp5ZTLJGX6) or emailing [founders@lightski.com](mailto:founders@lightski.com)—we’ll help you format your data into a clean schema, and get Lightski embedded in your app within the day. Email us with any questions or feedback!",
        "url": "https://www.ycombinator.com/launches/KzL-lightski-embed-an-ai-data-scientist-in-your-app",
        "votes": 32,
        "created_at": "2024-05-07T17:04:06.921Z"
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    "website": "https://www.vendora.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Vendora is building a generational company in one of the largest industries out there - grocery. We build software to serve the $1 trillion dollar (over 3% of US GDP) grocery industry. This ranges from point of sale, payments, e-commerce, inventory management, loyalty, and advanced analytics with more on the horizon. \r\n\r\nWe’re taking bleeding edge technology and an AI-focused approach to modernizing an industry stuck in legacy software and practices. Backed by Y Combinator and investors with deep expertise in retail, we are a team of operators from Amazon, Uber, Tesla, Figma and McKinsey in transforming a sector that touches us all.\r\n\r\n",
    "one_liner": "All-in-One Software for the $1T Grocery Industry",
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    "subindustry": "B2B -> Retail",
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        "full_name": "Sunny Singh",
        "title": "Founder",
        "founder_bio": "Sunny Singh grew up in supermarkets - his family owns and operates a mid-sized chain in the US. He has carried a passion for food and retail throughout his career. Prior to founding Vendora, Sunny was the Head of US Strategy & Expansion for Uber Grocery/Cornershop. He joined Cornershop from Amazon, where he spent years across their grocery businesses, speciality fulfillment, and search science and AI teams. Sunny graduated from Columbia University and is a proud native New Yorker. ",
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        "title": "Full Stack Software Engineer at Vendora (W23)",
        "url": "https://www.ycombinator.com/companies/vendora/jobs/HFjtfzf-full-stack-software-engineer-at-vendora-w23",
        "location": "New York, NY, US",
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        "role": "Engineering",
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        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
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        "id": 74433,
        "title": "🛒 Vendora - Ecommerce enablement for grocery",
        "tagline": "Vendora is a vertical saas platform that enables grocers to earn more revenue and better manage their operations online.",
        "body": "Hey all! I’m Sunny, the founder of [Vendora](https://www.vendora.io/).\n\n**tl;dr** At Vendora, we build vertical saas for the grocery industry - today we focus on e-commerce enablement, helping grocers make the most of their digital channels. Think of us as Shopify Meets Toast for supermarkets.  \n\n### Problem\n\nA monumental $800B grocery industry runs on outdated systems and manual processes. In an age where 12% of grocery sales have gone online, many grocers are getting left behind, lacking the tools to adapt and make the most of this emerging channel. Grocers need to adapt to compete with the Amazon and Walmarts of the world.\n\n### Solution\n\nVendora is solving this problem by being the one platform grocers need to engage with customers digitally. We make it easy for them to succeed online. \n\nBy connecting with their existing stack, we ingest their data, augment it through our AI powered workflows, and set up accurate, enhanced data feeds to their third parties. We also give them their own storefront (website and app) so they can own more of the customer relationship. Along with all this, we give them the tools to easily manage these channels, optimize their performance, and engage with their customers.  \n\n### Who am I?\n\n![uploaded image](/media/?type=post&id=74433&key=user_uploads/1224770/f850f527-6a20-494e-be39-33fa37d566cb)\n\nI’ve quite literally have been in the grocery space for my entire life. \n\nI grew up in grocery stores, working in my family’s supermarkets, seeing it go from a single 500 sq ft family store in Queens, NY to a chain of stores. I’ve seen it all first hand (stocking, the register, backoffice, you name it). \n\nProfessionally, I was the Head of US Strategy at Uber Grocery coming in through Uber’s acquisition of Cornershop, where I earned my startup stripes. I began my career at Amazon's US Grocery team, worked on ops for Amazon Fresh, and then the Search Science and AI team. I’ve seen how some of the best companies on the planet run things and I’m channeling that expertise into Vendora. \n\n### Ask\n\nKnow any grocers that want to start selling online or earn even more on existing channels? Send them our way. [founders@vendora.io](mailto:founders@vendora.io)",
        "url": "https://www.ycombinator.com/launches/JMX-vendora-ecommerce-enablement-for-grocery",
        "votes": 25,
        "created_at": "2023-08-28T14:59:06.995Z"
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        "id": 69777,
        "title": "🛒🥭 Jaldi – South Asian Groceries Delivered!",
        "tagline": "Jaldi is the online supermarket for South Asians living in the US",
        "body": "Hey everyone!  Sunny here from [Jaldi](https://getjaldi.com/). \n\nTL;DR: **Jaldi delivers your favorite South Asian groceries, household items, and beauty products right to your door**. Give us a try (use discount code LaunchYC at checkout or [click here to have it autoapply](https://getjaldi.com/discount/LaunchYC)) and share with your friends (<https://linktr.ee/getjaldi>). \n\n### 🛒 **What is Jaldi?**\n\nJaldi is the online supermarket for South Asians living in the US. We deliver thousands of South Asian grocery, beauty, and household products right to customers’ doors through nationwide and same-day local delivery. Available at [getjaldi.com](http://getjaldi.com) and on [our mobile apps](https://getjaldi.onelink.me/0mSJ/j3y5iudn), we offer the most seamless shopping experience for anyone looking to explore the rich cultural diversity of South Asia or simply get a taste of home. \n\n![uploaded image](/media/?type=post&id=69777&key=user_uploads/1224770/0bf887ba-cb0f-499b-a287-d9447dfe5536)\n\nCurrently we offer nationwide shipping of non-perishable items (get your [Kurkure](https://getjaldi.com/products/kurkure-masala-munch-82g/?variant=%2044438553690429), [Thums Up](https://getjaldi.com/products/thumps-up-300-ml/?variant=%2044141331218749), [Dals](https://getjaldi.com/pages/dal-beans?filter.p.tag=Nationwide), etc.) and local same-day delivery of a full selection of South Asian groceries ([dahi](https://getjaldi.com/products/0rganic-whole-milk-dahi-2-l?variant=44141385253181), fruits & vegetables, frozen meals, etc.) in New Jersey. \n\n### 🤔 **Why does Jaldi exist?**\n\nWhile the last five years saw a fivefold increase in US online grocery penetration, little has changed for South Asians living in the US. Few South Asian supermarkets offer delivery and often struggle on inventory and quality when they do. Selection online can often be expensive, elusive, and leave the customer wanting for more. \n\n**The South Asian consumer deserves better. That’s why I started Jaldi.** \n\nSouth Asians in the US are the highest earning and fastest growing ethnic demographic - yet there are few shopping experiences that cater specifically to them. Jaldi is building the first-class e-commerce experience for the South Asian diaspora. The next wave in retail will be cultural commerce, how communities shop and interact with what they buy. Jaldi is leading the way in this emerging space. \n\n### 🧔🏻‍♂️ **Why am I the one building this?**\n\nI’ve spent my life in this space. I grew up in South Asian supermarkets - my family runs a large chain in the US. My first job out of college was working on Amazon’s grocery business, wearing many hats over the few years I spent there. Most recently, I was the Head of US Strategy & Expansion for Uber’s Grocery business. I’ve seen the grocery industry (and specifically the South Asian consumables space) from multiple angles and see the opportunity to build an amazing customer experience here. \n\n### 💥 **The Deal**\n\nOrder! Browse the site ([check out our Popular Picks](https://getjaldi.com/pages/popular-picks) if you can’t make up your mind).You can use the discount code LaunchYC at checkout for 10% off and free shipping on your first $50 order. \n\n* [Download the app](https://getjaldi.onelink.me/0mSJ/j3y5iudn)\n* [Go straight to](https://getjaldi.com/) [getjaldi.com](http://getjaldi.com)\n\n### 🙏🏽 **Our Ask**\n\nFollow us and share! We’ll be highlighting some of our favorite products and special deals on our socials, help us spread the word!\n\n* [Facebook](https://www.facebook.com/getjaldiofficial)\n* [Instagram](https://www.instagram.com/getjaldi/)\n* [Twitter](https://twitter.com/getjaldi)\n* [Pinterest](https://www.pinterest.com/getJaldi/)\n* [Linkedin](https://www.linkedin.com/company/getjaldi)\n\n### 🗣️ **What are customers are saying?**\n\n_I love your service. Please accept few more orders in future._ \\[He bought all of our inventory on a product\\]_. Great work! Thank you for your business_ \n\n_Sunny!!! I got the groceries. Seamless process, actually so smooth._\n\n_Honestly, I had never stepped foot into a South Asian supermarket and didn't know what to expect. Ordered some of the recommended products, now I can't get enough of Thums Up and Kurkure!_\n\n![uploaded image](/media/?type=post&id=69777&key=user_uploads/1224770/6576e5fd-0ca9-4e38-93d8-1ad4934e03ac)\n\n_Screenshot shared by an enthusiastic batchmate and Jaldi fan!_",
        "url": "https://www.ycombinator.com/launches/I9R-jaldi-south-asian-groceries-delivered",
        "votes": 159,
        "created_at": "2023-02-28T20:07:14.007Z"
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    "long_description": "Agents for The Complete SAP Development Workflow. Every stage of development covered, from requirement analysis to production-ready code.",
    "one_liner": "Your AI Partner for SAP Development",
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        "full_name": "Darshita Chaturvedi",
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        "full_name": "Shyam Swaroop",
        "title": "Founder",
        "founder_bio": "Columbia CS dropout, DARPA funded ML researcher turned web developer for ML products (lead engineer of the software product with $10M+/year in revenue)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shyamswaroop/",
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        "title": "🧘‍♂️ Atri: The open-source Python web framework to create stunning apps",
        "tagline": "Atri Labs is Vercel for Python developers. Using the open-source Atri framework, Python developers at companies like Meta are creating internal ML web apps with beautiful frontend.",
        "body": "**TL;DR**\n\n_Atri framework enables Python developers to create beautiful frontend using visual builder. Since our launch 4 months ago, we have 3.9k+ GitHub stars. Companies like Meta are using us to build internal ML web apps and AI startups are using us to build their flagship web apps. _[_Get started in under a minute_](https://docs.atrilabs.com/category/getting-started)_!_\n\n👋 Hi everyone, we’re Shyam and Darshita, the founders of Atri Labs.\n\n![uploaded image](/media/?type=post&id=70034&key=user_uploads/1082347/3973838e-1694-44e3-90ff-71a0c752836c)\n\n[Shyam](https://www.linkedin.com/in/shyamswaroop/) (left): Columbia CS dropout, DARPA funded ML researcher turned web developer for ML products (lead engineer of the software product with $10M+/year in revenue)\n\n[Darshita](https://www.linkedin.com/in/darshitac/) (right): MIT Sloan dropout, Director's Gold Medal at IIT, voting member at Python Software Foundation, ML researcher at BlackRock (co-creator of a financial product that was one of the fastest-growing asset management product in the US with $5M+ in asset flow in a year within its launch)\n\n### **🤕 Problem**\n\nCurrent Python web frameworks are not suited for creating frontend with 2023 web UI standards. As a result, developers spend years learning JavaScript and React.\n\n### **💃 Solution**\n\nAtri framework enables Python developers to do full-stack development without learning a new language.\n\n* Build frontend using a Webflow-like visual builder\n* When a user interacts with the application such as clicks on a button, the Python backend is triggered to handle the interaction.\n* These apps can be deployed at Atri cloud or AWS, etc. using a single click.\n\nPython developers choose Atri to keep their tech stack lean and build beautiful web apps quickly.\n\n### **👀** [**Check our website below that is built using Atri**](https://atrilabs.com/)\n\n![uploaded image](/media/?type=post&id=70034&key=user_uploads/1082347/dfb2cf60-31d3-45d5-9acd-30b65dbeaed0)\n\n## [▶️](https://emojipedia.org/play-button/) **1 min teaser video**\n\n<https://youtu.be/YokMeI23_iw>\n\n### **🙏 Asks:**\n\n1\\. **Star us in GitHub**: If you like our [open-source project](https://github.com/Atri-Labs/atrilabs-engine), please support us by giving us a star in GitHub. ⭐\n\n2\\. **Feedback**: Reach out if you'd like to use Atri and/or have any feedback for us. We are available at [darshita@atrilabs.com](mailto:darshita@atrilabs.com) or you can book a [15 min call](https://calendly.com/darshitac/15-min-feedback).\n\n3\\. **Intros**: If you know developers who might benefit from Atri framework, please connect us at [darshita@atrilabs.com](mailto:darshita@atrilabs.com).",
        "url": "https://www.ycombinator.com/launches/IDa-atri-the-open-source-python-web-framework-to-create-stunning-apps",
        "votes": 86,
        "created_at": "2023-03-08T03:40:11.917Z"
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
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    "linkedin_url": "https://www.linkedin.com/company/secondhq",
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        "full_name": "Eric Rowell",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO of Wayline (YC S25). I was previously the founder & CEO of Second (YC W23) where I raised $1.9M to build enterprise codebase maintenance tools.  Before that, I was the co-founder and CTO of Uiflow (YC W21) where I raised $21M, built a no-code platform for enterprises, and was acquired by Workday.  Before that, I was the Head of Data Visualization at Workday, UI architect at LinkedIn and Yahoo, author of HTML5 Canvas Cookbook, and created several popular open source libraries.",
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        "linkedin_url": "https://www.linkedin.com/in/errowell/",
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        "title": "Second Has Raised $1.9M in Pre-seed Funding",
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        "title": "How Dubai's Cercli is transforming payroll management for businesses | The National",
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        "title": "\"We Got Funded!\" UAE-Based Cercli's US$4 Million Seed Round Marks Silicon Valley-Based Afore Capital's Debut MENA Investment | Entrepreneur",
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      {
        "id": 73789,
        "title": "Cercli 💸🌀 – Automating payroll, HR, compliance, onboarding & more for MENA",
        "tagline": "The single source of truth for your company's greatest asset – your people",
        "body": "**TLDR: Cercli is the modern employee data platform for the Middle East and North Africa (MENA). We automate payroll, compliance, reimbursement, onboarding, and offboarding by seamlessly integrating with tools across the workplace.**\n\nHello, world! 👋 We are David and Akeed.\n\n### **🤕 Problem**\n\nEven today, companies across MENA manage payroll, employee information, documents, onboarding checklists, and a plethora of other tasks manually. They default to spreadsheets, legacy enterprise solutions, and dated basic HR solutions. This causes an array of issues and challenges, including:\n\n* **Human error and fraud**: Personal employee data is collected and managed manually on spreadsheets, email, and WhatsApp conversations with no tracking or logs.\n* **Weak compliance**: Mistakes due to manual work may result in fines due to incorrect reporting to authorities and extend to non-renewal of operating/trade licenses for the business.\n* **Costly and lengthy rollout timelines**: Legacy providers have steep set-up fees and take months (even years) to complete - and on top of that require consultants or 3rd party vendors to implement the system.\n* **Poor transparency and employee experience:** Employees have little to no visibility into people policies, time off and expenses, and payroll disbursement. This means following up manually with HR over email, slack, or Whatsapp for basic queries.\n\nAnd still, with NO single source of truth - “_a black box_”, for a company's greatest asset (and usually largest line item of spend) - its people. Isolated business tools and spreadsheets don't “_speak to each other_” which causes mismatches in data.\n\n### **🎯 Why Cercli?**\n\nWe flip this upside down. The platform has been built with design and engineering at its core - curated around our design partners and customers, with the goal of making Cercli a workplace system that feels human.\n\n![uploaded image](/media/?type=post&id=73789&key=user_uploads/670088/7153a0a8-7e25-434f-8e1e-a25b4441398e)\n\n**Fully automated payroll**\n\nEnd-to-end automated payroll from data ingestion, processing, and disbursement with audit trails and change logs at every step. Consolidate in-house and remote payrolls for a complete view of people spend.\n\n**All under one roof**\n\nConnect your HR, Finance, Accounting, IT, and Legal stack with key integrations, so your systems speak to each other to manage your back office with ease.\n\n**Smart data validations**\n\nA number of checks and balances to ensure 100% data integrity. No more pivot tables with misspelled country names, duplicate entries, or inaccurate FX conversion for multi-country people spend.\n\n**Workflow alerts, policies, and approvals**\n\nDitch the calendar reminder for that recurring expense every month, or the Slack notification to renew that employee's visa or insurance plan. Set up alerts and curated policies for your business across the employee lifecycle.\n\n![uploaded image](/media/?type=post&id=73789&key=user_uploads/670088/349ee9a5-3df1-4ed2-b5e8-5d9df3fc08f9)\n\n### 👥 About us\n\n![uploaded image](/media/?type=post&id=73789&key=user_uploads/670088/6c6c5882-0afd-47d9-b802-d674b5fd1ef9)\n\n[Akeed](https://linkedin.com/in/akeedazmi) (_right_) left MENA unicorn [Kitopi](https://www.kitopi.com/), as the Head of Growth and Expansion to begin this journey after encountering the problem at work. Previously, he worked in operations and growth at [Careem](https://www.careem.com/) (acquired by Uber in 2020), where he met now co-founder, David (_left_).\n\n[David](https://linkedin.com/in/davidreche) was most recently VP of Product & Engineering at [Kingmakers](https://kingmakers.com/) (Draftkings for Middle East and Africa). Prior to this, David held product leadership roles at Careem.\n\n### 👋 **How can you help?**\n\n* Schedule a demo and join us in reimagining how employee data is managed. [Click here](https://www.cercli.com/join?utm_source=launchyc&utm_medium=yc).\n* Connect us with MENA based HR, Finance and IT leaders in your network. [Click here.](mailto:akeed@cercli.com)\n* Share the love. Check out our [website](https://www.cercli.com/?utm_source=launchyc&utm_medium=yc) and follow our journey on [LinkedIn](https://www.linkedin.com/company/cercli/) and [Twitter](https://twitter.com/cercliHQ).",
        "url": "https://www.ycombinator.com/launches/JC9-cercli-automating-payroll-hr-compliance-onboarding-more-for-mena",
        "votes": 67,
        "created_at": "2023-08-03T21:28:02.499Z"
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    "long_description": "LiteLLM is an open-source LLM Gateway with 50K+ stars on GitHub and trusted by companies like Rocket Money, Samsara, Lemonade, and Adobe. LiteLLM provides an open source Python SDK and Python FastAPI Server that allows calling 100+ LLM APIs (Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic) in the OpenAI format\r\n\r\nWe have raised a $1.6M seed round from Y Combinator, Gravity Fund and Pioneer Fund",
    "one_liner": "Call every LLM API like it's OpenAI [100+ LLMs]",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/litellm",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/litellm.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/berri-ai/",
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "full_name": "Krrish Dholakia",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/krish-d-959044116/",
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        "full_name": "Ishaan Jaffer",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/reffajnaahsi/",
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        "url": "https://www.ycombinator.com/companies/litellm/jobs/vopbPrG-backend-performance-engineer",
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        "role_type": "Backend",
        "salary_range": "$150 - $200",
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        "experience": "Any (new grads ok)",
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        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 102156,
        "title": "Senior Support Engineer - Brazil",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/QDeS0F3-senior-support-engineer-brazil",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102157,
        "title": "Senior Support Engineer - India",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/gxtoDSb-senior-support-engineer-india",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 102158,
        "title": "Security Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/ixoSdM3-security-engineer",
        "location": "San Francisco",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 102159,
        "title": "Staff Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/XVj6hFt-staff-engineer",
        "location": "San Francisco",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "url": "https://www.ycombinator.com/companies/litellm/jobs/8ya5TlZ-forward-deployed-engineer-india",
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        "title": "VP of Sales",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/gRSMQEO-vp-of-sales",
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        "id": 74316,
        "title": "🚅 LiteLLM - Call all LLM APIs using the OpenAI format [Llama2, Anthropic, Huggingface, etc.]",
        "tagline": "Add 100+ new LLMs to your application, with a drop-in replacement for the openai chat completion call.",
        "body": "Hello, I’m Ishaan - one of the maintainers of [LiteLLM.](https://github.com/BerriAI/litellm/)\n\n**TLDR; LiteLLM let’s you call all LLM APIs (Azure, Anthropic, Replicate, etc.) using the OpenAI format. We translate the inputs, standardize exceptions, and guarantee consistent outputs for completion() and embedding() calls**\n\n![uploaded image](/media/?type=post&id=74316&key=user_uploads/1083928/3b30d01e-433a-48e1-9a58-10a34913d45d)\n\n### **Problem ❌: Multiple LLM APIs - Hard to debug**\n\nCalling LLM APIs involved **multiple \\~100 line if/else statements** which made our **debugging problems explode.**\n\nI remember when we added Azure and Cohere to our chatbot. Azure’s API calls would fail so we implemented model fallbacks - (e.g. if Azure fails, try Cohere then OpenAI etc.). However, provider-specific logic meant our code became increasingly complex and hard to debug.\n\n# **Solution 💡**\n\n# 1️⃣ Simplify calling existing LLM APIs\n\nThat’s when we decided to abstract our LLM calls behind a [single package - LiteLLM.](https://github.com/BerriAI/litellm) We needed I/O that just worked, so we could spend time improving other parts of our system (error-handling/model-fallback logic, etc.).\n\n[LiteLLM](https://github.com/BerriAI/litellm) does 3 things really well:\n\n* **Consistent I/O:** It removes the need for multiple if/else statements.\n* **Reliable**: Extensively tested with 50+ cases and used in our production environment.\n* **Observable**: Integrations with Sentry, Posthog, Helicone, etc.\n\n### 2️⃣ Easily add new LLM APIS - [LiteLLM UI](https://docs.litellm.ai/docs/debugging/hosted_debugging)\n\n![uploaded image](/media/?type=post&id=74316&key=user_uploads/1083928/8624880b-20dc-4f39-8b40-1537c91a5380)\n\nThe next big challenge was adding new LLM APIs. Each addition involved 3 changes:\n\n* Update list of available models users can call from\n* Adding key to our secret manager / .env file\n* Mapping the model name - e.g. `replicate/llama2-chat-...` to a user-facing alias `llama2`.\n\nSince LiteLLM integrates with every LLM API - we provide all of this out of the box with zero configuration. With a single environment variable - `LITELLM_EMAIL` you can automatically add 100+ new LLM API integrations into your production server, **without modifying code / redeploying changes 👉** [LiteLLM UI](https://docs.litellm.ai/docs/debugging/hosted_debugging)\n\n## Ask 👀:\n\n* Adding new LLM providers? Contact us at [krrish@berri.ai](mailto:krrish@berri.ai) if you need help!\n* ⭐️ us on [GitHub](https://github.com/BerriAI/litellm) to keep up with releases and news.\n* Join [our Discord](https://discord.com/invite/wuPM9dRgDw)!",
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        "full_name": "Andy Wang",
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        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/finta/jobs/awUE3Ik-founding-designer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$140K - $220K",
        "equity_range": "1.00% - 5.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 81583,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/finta/jobs/vg5fXEw-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "5.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 91067,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/finta/jobs/4PPf5gR-founding-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$100K - $180K",
        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "HTML",
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      },
      {
        "id": 96605,
        "title": "Community/Events Lead",
        "url": "https://www.ycombinator.com/companies/finta/jobs/q0zw6lg-community-events-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $160K",
        "equity_range": "1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 116637,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/finta/jobs/sHWPMUf-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$210K - $240K",
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        "id": 116638,
        "title": "Partnerships Lead",
        "url": "https://www.ycombinator.com/companies/finta/jobs/TwH2Nxi-partnerships-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$165K - $190K",
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    "news": [
      {
        "title": "From student investor to startup success | Waterloo News | University of Waterloo",
        "url": "https://uwaterloo.ca/news/arts/student-investor-startup-success",
        "date": "Jan 11, 2024"
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      {
        "title": "TechCrunch Disrupt 2023 Startup Battlefield",
        "url": "https://techcrunch.com/2023/08/24/introducing-the-startup-battlefield-200-companies-at-techcrunch-disrupt-2023/",
        "date": "Aug 24, 2023"
      },
      {
        "title": "Finta is carrying accounting software's bags to the curb",
        "url": "https://thefounderspack.beehiiv.com/p/porter-carrying-accounting-softwares-bags-curb",
        "date": "May 18, 2023"
      },
      {
        "title": "Enterprise trends from YC W23 Demo Day",
        "url": "https://www.wing.vc/content/enterprise-trends-from-yc-w23-demo-day",
        "date": "Apr 14, 2023"
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      {
        "id": 73364,
        "title": "📘Finta: Accounting Platform for Startups",
        "tagline": "Manage bookkeeping, taxes, and get financial insights in one app",
        "body": "### **TL;DR**\n\n[Finta](https://www.finta.com) is the simplest way for startup founders and operators to manage taxes, bookkeeping, and track financial metrics - all in one platform.\n\nFinta replaces expensive bookkeepers, Quickbooks, and Google Sheets.\n\n![uploaded image](/media/?type=post&id=73364&key=user_uploads/311901/9c32e2c7-32f6-420a-ba5d-8c1a020c2dc6)\n\n### **Problem**\n\n1\\. Expensive bookkeepers with deceptive billing practices\n\n* Starts at $700+/month for startups\n* Price goes up based on expenses, not value\n* Charge to bank account directly without notice\n\n2\\. Repeated questions, mistakes, and late results\n\n* Asks repeatedly simple about categorizing expenses\n* Asks accounting questions that they should be educating you on\n* Put you on tax extensions and don’t file by the April deadline\n* Deliver financial results 3 weeks after the month ended\n\n3\\. Dealing with multiple people and tools\n\n* Introduced to a new person on your account every month\n* Paying for Quickbooks, but you don’t use it\n\n4\\. After all this, still can’t understand your finances\n\n* Can’t get accurate results on cash, burn, runway\n* Don’t understand why financials went up or down\n* No visibility into your revenue or expenses\n\n![uploaded image](/media/?type=post&id=73364&key=user_uploads/311901/7a28573d-2d16-429d-a877-47d58256d1e6)\n\n### **Solution**\n\n1\\. Transparent and fairly-priced\n\n* Flat price per year, does not increase until your next funding round\n* Includes monthly bookkeeping, taxes, and insights\n\n2\\. Accurate results on time, and proactive on your taxes\n\n* No repeated or common-sense questions, unless we’re not sure\n* You’ll never do anything manually. We value your time.\n* Monthly bookkeeping within the first few days\n* Taxes are always on file time and get proactive notices\n\n3\\. All-in-one platform\n\n* We built accounting from the core, not a wrapper on Quickbooks\n* Actual software, not a form or messaging portal\n\n4\\. Source of truth for your financials\n\n* Easily connect with tools you already use\n* Modernize your finance tech stack\n\n![uploaded image](/media/?type=post&id=73364&key=user_uploads/311901/06a2b765-545e-4a30-b218-919c3650b315)\n\n### **Frequently Asked Questions**\n\n**How does Finta differ from bookkeepers like Pilot?**\n\nThey do your bookkeeping in Quickbooks. Finta replaces both bookkeeping and taxes, and gives you way more financial insights.\n\n**How does onboarding work for Finta?**\n\nSign up, integrate, and that’s it! It’s at most 10 minutes.\n\n**What if I already have a bookkeeper that manages Quickbooks?**\n\nIt’s the same process to onboard. Finta will actually enrich the data that Quickbooks can’t pull from your existing finance tools.\n\n**What’s the risk of not using Quickbooks?**\n\nNo VC or customer will ever require you to be on Quickbooks. In fact, no one likes Quickbooks.\n\nIf, for whatever reason, you need to go back to Quickbooks, we’ll provide white-glove service for free and help you migrate. However, you’ll lose transaction details because of Quickbooks’ limitations.\n\n**What taxes do you handle?**\n\nFinta handles everything from franchise and income taxes at the city, state, and federal levels. Finta also provides R&D tax credit services.\n\n**How frequently are my results?**\n\nWe’re aiming to give you a real-time dashboard. As of today, we deliver bookkeeping and financial reporting every month.\n\n### **Get Finta**\n\nVisit [www.finta.com](http://www.finta.com) or send me an email at andy at finta dot com",
        "url": "https://www.ycombinator.com/launches/J5I-finta-accounting-platform-for-startups",
        "votes": 63,
        "created_at": "2023-07-24T18:24:13.688Z"
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        "full_name": "Jatin Mehta",
        "title": "Founder",
        "founder_bio": "Having built AI algorithms for cancer detection from mammograms, I'm on a mission to apply AI for good at scale. 50% of the businesses fail in the first 5 years according to U.S. Bureau of Labor Statistics. Currently building Speedy Brand to democratize marketing for SMBs across the USA with generative AI to help support budding entrepreneurs establish their online presence and get their business a better chance at surviving.",
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        "linkedin_url": "https://www.linkedin.com/in/jatinmehta1/",
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        "full_name": "Ranti Dev Sharma",
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        "full_name": "Ayush Jasuja",
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        "title": "Software Engineer - Backend (Remote)",
        "url": "https://www.ycombinator.com/companies/speedy-labs/jobs/Ov3fOAY-software-engineer-backend-remote",
        "location": "IN / Remote (IN)",
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        "visa": "US citizenship/visa not required",
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        "title": "Forward Deployed Engineer (Remote – US Time Zones)",
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        "salary_range": "₹1M - ₹2M INR",
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        "title": "Founding Senior Business Development Representative",
        "url": "https://www.ycombinator.com/companies/speedy-labs/jobs/wTqml8O-founding-senior-business-development-representative",
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        "id": 113406,
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        "url": "https://www.ycombinator.com/companies/speedy-labs/jobs/4KFowWQ-customer-success-manager-engineer",
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        "salary_range": "$60K - $120K",
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        "url": "https://techcrunch.com/2023/07/07/speedybrand-generative-ai-marketing/",
        "date": "Jul 07, 2023"
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      {
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        "title": "Speedy - Democratizing marketing to SMBs",
        "tagline": "Effective & affordable content marketing using Generative AI",
        "body": "**TL;DR**\\\nSpeedy gets traffic for SMBs at affordable prices through content creation that is 10x faster using Generative AI. We create a custom AI model for each business, that helps you curate hyper personalized content like blogs, socials and get organic traffic on your site.\n\n### **Problem**\n\n* SMBs cannot afford the high fees of digital marketing agencies that go into thousands of dollars per month.\n* Due to a limited marketing budget, they often lose traffic to more prominent companies.\n* They lack the time and resources to create and run content marketing campaigns.\n\n### **Solution**\n\nUsing Generative AI, Speedy creates SEO-optimized blogs and social media content, which SMBs can use to do effective marketing at a price that works for them.\n\n**How does it work?**\n\n1. Once you onboard to our monthly/annual plan, we conduct a branding workshop to feed into our models to help bring your brand’s voice to the content.\n2. For a monthly subscription, you get 4 blogs and 16 social media posts that are SEO-optimized.\n3. For an annual subscription, you get monthly benefits + a monthly newsletter + an annual content strategy.\n\n### **Backstory**\n\nWhile serving SMBs at Vetan (a payroll app), we realized they did not have the budget for the expensive marketing agencies. As an online business, having effective content around its products is crucial to get leads. At Speedy, we understand that creating engaging content can be time-consuming and expensive. That's why we offer affordable plans that include weekly SEO-optimized blog posts and social media posts for Facebook, Instagram, LinkedIn, and Twitter. And with our high-conversion ad copies for Google, Facebook, Instagram, and more, you can take your ad campaigns to the next level.\\\n\\\n**🙏 Asks**\\\n1\\. Checkout our demo for your website <https://speedybrand.io/> \\\n2\\. If you know an SMB/early-stage startup that might need us, happy to connect on [founders@speedybrand.io](mailto:founders@speedybrand.io)\\\n\\\n💰 **Deal**\\\nAs a YC company, **get 50% off** our monthly and annual plans.",
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        "votes": 43,
        "created_at": "2023-02-24T20:43:03.543Z"
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    "id": 28413,
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        "full_name": "Joe DeMaria",
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        "user_id": 1251063,
        "full_name": "Arnold Villatoro",
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        "title": "👓 SpecCheck - Unifying how the optical industry does business",
        "tagline": "We help eye doctors submit & track Rx orders, pay bills, notify patients, and more.",
        "body": "**_Tl;dr:_** _SpecCheck is an all-in-one solution that provides accurate prescription eyewear ordering and tracking, seamless billing, and streamlined communication between patients, eye doctors, and their lab partners. SpecCheck’s users work more efficiently and make fewer costly errors, increasing productivity and improving their overall workflow._\n\nHello, World! We’re Joe DeMaria and Arnold Villatoro, the co-founders of [SpecCheck](http://www.speccheckrx.com). Together with our team of industry experts and seasoned software engineers, we’re on a mission to revolutionize the optical industry.\n\n![uploaded image](/media/?type=post&id=69528&key=user_uploads/1251063/d58a9c75-3474-4b78-a5af-978c0f8eea1c)\n\n_Co-founders Joe DeMaria and Arnold Villatoro_\n\n### **❌ The Problem: Current optical industry software sucks!**\n\nDid you know it takes a coordinated team of eye doctors, opticians, technicians, and an optical lab to successfully dispense a _single pair_ of prescription eyeglasses? Despite this complex balancing act, each of these groups are forced to use antiquated technology and systems built in the 1990s that are fragmented, outdated, and limited to specific use cases. This results in glasses taking longer than they should to reach the patient, and results in expensive remakes. Not-so-fun fact: one in ten pairs of glasses needs to be redone before they are ready for pick up.\n\n### 😎 **The Solution: SpecCheck**\n\nSpecCheck is a unified ordering, billing, and communications platform designed specifically for the optical industry. Our solution centralizes all processes involved in the purchasing and manufacturing of prescription eyewear, saving time and reducing costly errors. Some of our features include: \n\n* **✨ Modern Dashboard:** Our simple and intuitive dashboard appeals to both new and veteran eye doctors.\n* **👓 Order Entry:** The easiest way for eye doctors to electronically transmit eyewear orders to optical laboratories, with advanced data validations to reduce errors.\n* **💳 Payments Processing:** Doctors can conveniently pay lab invoices directly from our platform.\n* **💬 Customer Service Live Chat:** Communicate more efficiently with optical labs to check order statuses, make edits, and request additional information.\n* **🔔 Patient Notifications & Tracking:** Keep patients in the know with one-click order notifications and our self-service patient order tracker.\n\n![uploaded image](/media/?type=post&id=69528&key=user_uploads/1251063/7a550fda-8c41-49eb-8cf3-c4478ff946f1)\n\n_SpecCheck’s Dashboard_\n\n### **⭐ Why Us?**\n\n[Joe](https://www.linkedin.com/in/joe-demaria-15a15943/) began his career in the optical industry in 2012, working as an optician for several different offices. In 2016 he was recruited to work for a key industry player, Shamir Insight, and afterwards for Johnson & Johnson Vision as a sales executive. As he traversed the industry in various roles, Joe realized that thousands of other eye doctors and optical labs were suffering from the same problems and frustrations he had encountered during his career. \n\nWhen Joe approached his friend [Arnold](https://www.linkedin.com/in/arnold-villatoro-85629330/) about creating a new technology resource to unify the fragmented optical industry, Arnold was quick to see the vision (pun intended). Arnold’s career started at Workday building the infrastructure for an internal job scheduler. Most recently, Arnold was the lead staff engineer for the payments infrastructure and processing teams at Lyft. With his diverse experience designing scalable and easy-to-use technology solutions for millions of users, Joe and Arnold make the perfect co-founding team.\n\n### 🙏 **Our Asks**\n\n* **📣 Sharing:** Share this post with your network, and follow us on [LinkedIn](https://linkedin.com/company/speccheck)!\n* **➡️ Referrals:** Connect us with any family, friends, or colleagues who work in the optical industry. \n* **🖥️ Product Demos:** If you’re in the industry and would like to learn more about [SpecCheck](https://www.speccheckrx.com/), please [contact us today](https://www.speccheckrx.com/contact).\n* **🚀 Investors:** Please reach out to us at [investors@speccheckrx.com](mailto:investors@speccheckrx.com) to discuss investment opportunities.\n\n ",
        "url": "https://www.ycombinator.com/launches/I5Q-speccheck-unifying-how-the-optical-industry-does-business",
        "votes": 58,
        "created_at": "2023-02-22T05:30:14.909Z"
      }
    ]
  },
  {
    "id": 28414,
    "name": "Automat",
    "slug": "automat",
    "former_names": [
      "Lasso",
      "Automat (formerly lasso)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55c324c494df9a6e5d939b7ecdc8e94880f2d575.png",
    "website": "https://www.runautomat.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Automat is an AI automation company that replaces slow manual work and brittle legacy RPA with agents that understand context, recover from errors, and improve over time. Backed by a forward-deployed engineering team and enterprise-grade security (SOC 2, HIPAA, GDPR, ISO 27001), Automat runs reliable, human-in-the-loop automation for document-heavy industries — mortgage & lending, banking, insurance, healthcare, and manufacturing. It delivers this through two products: Automat Workforce and Automat Core.\r\n\r\nWorkforce - A digital teammate you onboard like a new hire. \r\nMeet Ace, a digital teammate with its own email, Slack, phone, and logins that works across the tools your team already uses. You reach it like a colleague (a text, a channel mention, an email, a doc comment) and it does the work end to end, asks when it needs judgment, and leaves an audit trail for everything it touches.\r\n\r\nLearn more here: https://runautomat.com/workforce \r\n\r\n\r\nCore - Managed agentic automation for enterprise \r\nManaged, AI-powered process automation for the enterprise. Automat Core replaces legacy RPA with self-healing agents that combine UI automation, AI document extraction (IDP), and API workflows in one platform. Automat's team builds, tests, and monitors every automation, so operations go live in days (not months), run reliably at scale, and cut operational costs — with human review wherever precision matters.\r\n\r\nLearn more here [https://runautomat.com/capabilities](https://runautomat.com/capabilities)",
    "one_liner": "Agentic automation that understands context, recovers, and improves.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677178978,
    "tags": [
      "Documents",
      "Developer Tools",
      "Robotic Process Automation",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/automat",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/automat.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/90558949/admin/",
    "x_url": "",
    "fb_url": null,
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    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 415306,
        "full_name": "Lucas Ochoa",
        "title": "Founder",
        "founder_bio": "CEO at Automat | Ex:Google & Microsoft",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lucas-ochoa-51222678/",
        "x_url": "https://twitter.com/lucas0choa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3460bb02cae910a8167c7a514d4b7c6208771d6.jpg"
      },
      {
        "user_id": 249452,
        "full_name": "Gautam Bose",
        "title": "Founder",
        "founder_bio": "Open Laptop, an Open Mind",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gautambose/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cc3e7ee978641ccc9ae1932877dff2f101c8f69.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77831,
        "title": "Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/automat/jobs/JyD9j1f-applied-ai-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $220K",
        "equity_range": "0.25% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77834,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/automat/jobs/95CHPIW-sales-development-representative",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $130K",
        "equity_range": "0.02% - 0.05%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77835,
        "title": "Enterprise Account Executive (Full Cycle)",
        "url": "https://www.ycombinator.com/companies/automat/jobs/WDGBMTs-enterprise-account-executive-full-cycle",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $140K",
        "equity_range": "0.02% - 0.05%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79159,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/automat/jobs/QfHWU1w-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$145K - $185K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81081,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/automat/jobs/Uak8GDJ-senior-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $220K",
        "equity_range": "0.05% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Automat Raises $15.5M Series A | Automat",
        "url": "https://www.runautomat.com/blog/automat-raises-15-5m-series-a",
        "date": "Nov 19, 2025"
      },
      {
        "title": "Y Combinator-backed Automat turns videos into workflow automations | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/y-combinator-backed-automat-turns-videos-into-workflow-automations/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAMl7GrmIJwYOYFCoUcYfqNTrV0r82APvTlpVt0DMIEyjpjQS9MtJb9DFuiE2HtyaFOpOQzv4SZPUnB89Y9Lxdkdk1vXkAKBjYDjtkKkbSOpUGhc_GhcgUMy3aS5HO5L99OwXIn1t8_zFB9_NfDUPitSBQXBL-PWj4j52H5k2nzke",
        "date": "Sep 06, 2023"
      },
      {
        "title": "These Y Combinator-backed startups are trying to build 'ChatGPT for X'",
        "url": "https://techcrunch.com/2023/04/04/these-y-combinator-startups-are-trying-to-build-chatgpt-for-x/",
        "date": "Apr 04, 2023"
      },
      {
        "title": "The Top 34 Companies of the W23 Program with a focus on AI",
        "url": "https://www.cerebralvalley.com/post/a-synopsis-of-y-combinator-companies-in-the-w23-batch-of-startups",
        "date": "Mar 15, 2023"
      },
      {
        "title": "AI-led change means businesses must adopt more quickly.",
        "url": "https://russmalz.com/ai-led-change-is-forcing-businesses-to-adapt-quickly-and-the-pace-is-accelerating/",
        "date": "Feb 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 117458,
        "title": "Ace from Automat: it's instinct, but for work",
        "tagline": "Hire an AI teammate with its own computer, phone number, inbox, and logins. It works inside the tools you already use and hands back finished work, not status updates.",
        "body": "Hi! Lucas here from Automat. Stoked to share what the team's been heads-down on: Ace. It's instinct, but for work. **The TL;DR: you can now hire an AI teammate.**\n\nEvery team we talk to wants AI teammates, but doesn't know how to actually put one to work. Maybe you've tried homebrewing OpenClaw or Hermes. The two usual options both whiff: traditional automation (UiPath) makes you sign up for a months-long integration project before it does one useful thing, and AI \"assistants\" hand you a wall of text, and you still go do the work yourself.\n\n**Ace is different.** You onboard it like any new hire, and it shows up where the work happens:\n\n• Forward it an email or cc its own inbox, and the draft lands in your Drive with the judgment calls left as comments.\n\n• @Ace in Slack after a call, and the summary + action items land on the opportunity.\n\n• Text it between meetings (\"move Thursday to Friday and tell them why\"), and it updates the invite, emails everyone, and confirms.\n\n• Ping it in a doc comment, or have it make a call on its own line.\n\nWhat comes back is finished work: CRM updated, email sent, invoice reconciled. When it hits a real fork in the road, it hands you the open questions instead of guessing.\n\n**Why trust it?** We spent two years automating high-volume work in mortgage, lending, and insurance, where a wrong answer is a compliance problem. Ace pairs a deterministic engine for must-be-identical work with AI for the fuzzy stuff. Every run is logged step by step, you set what needs approval, and you can revoke access like any employee's. SOC 2, encrypted credentials, role-based access.\n\n\"I really tried hard not to like this product, and I'm in love.\" — Asa Block, COO, Near Space Labs\n\n\"It's a no-brainer… Monday to Friday you won't believe how much more stuff you get done.\" — Jack Miller, President &amp; CEO, T3 Sixty\n\n## Our asks 🙏\n\n• Try Ace: One month free with unlimited usage for the YC community only. Sign up here:(<https://runautomat.com/workforce>) Use the promo code: ACEYC30\n\n• Intros: Know a team drowning in admin across a dozen systems? Send them our way.\n\n• We're hiring! <https://runautomat.com/careers#roles>",
        "url": "https://www.ycombinator.com/launches/UYU-ace-from-automat-it-s-instinct-but-for-work",
        "votes": 1,
        "created_at": "2026-09-30T16:33:11.033Z"
      },
      {
        "id": 69615,
        "title": "Automat RPA  - Robotic process automation for Chrome using ChatGPT and computer vision",
        "tagline": "Automate anything in Chrome using natural language",
        "body": "### **TLDR: Traditional automation software is slow and expensive, Automat is 10X faster and 1/10th the price. It lets operations teams automate using natural language.**\n\nHowdy y’all! Lucas here from [Automat](https://www.getlassoai.com/) - excited to share what my cofounder Gautam and I have been working on!\n\n**🧐 The problem: Traditional Robotic Process Automation is slow and expensive.**\n\nIt’s extremely time consuming and expensive to build out robot process automations using traditional tools like UiPath (\\~$66,000 per yearly license - Yikes!) not to mention the initial consultant setup fees which most people are forced to pay if they don’t have the resources in house (at the lowest end we’re talking $50,000+ per project - Double Yikes!!)\n\n💡 **Our Solution: Automat makes it 10X cheaper and faster to build any robotic process automation using natural language on chrome.**\n\nWe’re solving this by creating a platform that enables robotics process automation for Chrome using large language models and computer vision.\n\nCurrently our customers send us descriptions or videos of the processes they’d like us to automate and we use our internal tooling to quickly build out those automations.\n\nHere is one of our customer’s attended bots in action, scraping an email, looking through a prospecting tool, and saving it to a spreadsheet.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69615&key=user_uploads/415306/a547a684-faee-4c6e-b3db-88cef800940a)\n\n\\\nWe want to let anyone regardless of timeline or budget automate the work they do by using natural language or simply sending Automat the workflow in a screen recording.\n\n**👯 A little more about us**\n\n![uploaded image](/media/?type=post&id=69615&key=user_uploads/415306/e82023cd-a7c1-4be3-8446-f2e0c2eae6f6)\n\nGautam and Lucas met on the first day of Design school at Carnegie Mellon University and have been roommates ever since:\n\n* At Google, their team was tasked with finding product applications of [LaMDA](https://blog.google/technology/ai/lamda/) in early 2020, and they built over 50+ prototypes integrating LaMDA across Google’s products and services. Eventually Gautam would go on to implement multiple demos for Google’s [first public Demonstration of LaMDA](https://www.theverge.com/2022/5/11/23065072/google-ai-app-test-kitchen-future-io-2022), the AI test kitchen.\n* They were hired together at Google’s Creative Lab as part of the [Creative Lab 5](https://www.creativelab5.com/), at Google they spent the following three years launching products like the [AI Test Kitchen](https://blog.google/technology/ai/join-us-in-the-ai-test-kitchen/), [Everyday Helper Robots](https://everydayrobots.com/), [Teachable Machine](https://teachablemachine.withgoogle.com/), the [Google Pixel Buds Pro](https://store.google.com/product/pixel_buds_pro?hl=en-US&pli=1), and most importantly a [high speed lucky charms cereal sorter](https://coral.ai/projects/teachable-sorter) 🍀\n* At Carnegie Mellon they studied Human Computer Interaction and Design. During their Junior year they created an adorable [AI robotic assistant](https://vimeo.com/270823057) that caught Google’s attention which awarded them a grant during their senior year to [research Robotics and AI](https://vimeo.com/393172151).\n\n**🙏 Our asks**\n\nAre you struggling in a deluge of repetitive or complex tasks that you wish you could hire someone for (or automate) but don’t have the budget? Send an email to [lucas@runautomat.com](https://lucas@runautomat.com) or submit a request on our [website](https://www.getlassoai.com/).\n\nDoes the above sound like someone you know? We’d appreciate intros to anyone. Let us know and we can send you over a quick intro blurb to make it an easy email to forward.\n\n**YC Special Offer:** For the first 10 YC companies that reach out we’ll waive the setup fee associated with building your automation!",
        "url": "https://www.ycombinator.com/launches/I6p-automat-rpa-robotic-process-automation-for-chrome-using-chatgpt-and-computer-vision",
        "votes": 91,
        "created_at": "2023-02-23T19:08:21.664Z"
      }
    ]
  },
  {
    "id": 28415,
    "name": "moonrepo",
    "slug": "moonrepo",
    "former_names": [],
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    "website": "https://moonrepo.dev",
    "all_locations": "Portland, OR, USA; Remote",
    "long_description": "moonrepo is a developer tool that reduces build/test/deploy times, and maintenance costs for companies. We’ve achieved this through moon, our open source build system and repository management tool. moon can be paired with moonbase, our paid service that provides cloud caching, CI insights, code ownership, and health score related metrics. The company is founded by Miles Johnson and James Pozdena who have a combined 25+ years in the software development industry with tenure at Airbnb and Coinbase.",
    "one_liner": "Open source build tool for monorepos and large codebases",
    "team_size": 2,
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    "subindustry": "B2B -> Productivity",
    "launched_at": 1675878806,
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        "question": "Describe what your company does in 50 characters or less.\n",
        "answer": "We build solutions for common devx/tool problems."
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        "question": "What is your company going to make? Please describe your product and what it does or will do.\n",
        "answer": "We plan to make a suite of tools and services to solve common developer experience and company workflow problems. These are problems that all companies deal with at some point in time, and range from solutions like a configuration service, code ownership, repository management, deploy/merge locks, CI insights and metrics, deployboard, and much more.\r\n\r\nMany companies custom build in-house solutions to these problems, as there are non-viable or no alternatives. This diverts focus and resources away from their mission. We hope to provide solutions to these problems, so that companies can focus solely on their mission.\r\n\r\nThe first tool in this suite is moon, which is a language agnostic build system (built in Rust), with first class support for CI pipelines and the developer experience. In the future, this will be expanded to also support CD workflows. To expand upon moon, we are currently building a service called moonbase, which supports remote caching of build artifacts, and in the future will aggregate CI insights to generate dashboards, and provide a user interface for CD deployments.\r\n\r\nLooking to the future, we have plans for a large array of tools and services to build, as mentioned above. Our goal is to provide a holistic developer/infra platform."
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    ],
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/moonrepo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/moonrepo.json",
    "year_founded": 2022,
    "city": "Portland",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/moonrepo/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1247217,
        "full_name": "Miles Johnson",
        "title": "Founder",
        "founder_bio": "I'm very passionate about developer tooling and the developer experience.\n\nWith 15 years of industry experience under my belt working across the entire web stack, I enjoy testing my skills and knowledge against complex problems, but what I really love is supporting my fellow peers by building solutions to improve their developer experience and productivity.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/mileswjohnson/",
        "x_url": "https://twitter.com/mileswjohnson",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff6f4233d27a4f4ba11f5533aa2465e0273385ad.jpg"
      },
      {
        "user_id": 1251045,
        "full_name": "James Pozdena",
        "title": "Founder",
        "founder_bio": "Technical co-founder from Portland, OR",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/jpozdena",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c79a10657798606f022dca11f21324af6fa3421.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 69492,
        "title": "🌑 moonrepo - Simplifying codebase management and organization",
        "tagline": "From build to deploy, moonrepo is a better way to manage codebases, save developer time, and boost your business.",
        "body": "Hey YC!\n\nMiles and James here from [moonrepo](https://moonrepo.dev). Are you struggling with large codebases? Well, look no further! We built moonrepo to simplify repository management, project ownership, task running, and everyday developer and productivity workflows.\n\n### 🧑‍💻 Who is it for\n\nFor companies or individuals that maintain monorepos or large codebases (or any size really), and want to reduce build and CI times, and ensure their repository stays healthy.\n\n### 🚀 How we’re solving it\n\nAfter more than a decade in the industry, with many of those years working on infrastructure and developer tooling-related products, we weren’t happy with the status quo of tooling or ad-hoc solutions that companies are required to build. As such, we set out to build moon, a language-agnostic task runner that is smart enough to only run against affected code changes, and [moonbase](https://moonrepo.dev/moonbase), an upstream service for monitoring CI pipelines. We wanted our products to be enjoyable to use and easy to understand.\n\n![uploaded image](/media/?type=post&id=69492&key=user_uploads/1247217/8945b4a3-e49c-410b-ae5f-5c59794fbbea)\n\n### 🛰️ How it works\n\nAt a high level, we are putting an immense focus on the developer experience. For example, the configuration is in YAML, which everyone is familiar with, and is **_not_** a proprietary syntax. Tasks are defined and run as if you were running them in the terminal; there are no more abstractions. We automate common and everyday workflows. We manage a toolchain, ensuring the correct version of languages is used (no more “works on my machine”). And lastly, our foundation is built on Rust and Tokio, so performance is first-class, the runtime is reliable, and memory safety is guaranteed.\n\n![uploaded image](/media/?type=post&id=69492&key=user_uploads/1247217/c5d3c251-0768-493b-8bed-28c9fc60bc6a)\n\n### Try it today!\n\nOur moon task runner is free and open source, and will always be! Start adopting today and see the immediate benefits in your codebase. <https://moonrepo.dev/moon>\n\nOur moonbase service is also available under our free tier (with reasonable limits). Join today in 1-click! <https://moonrepo.dev/moonbase>\n\nIf you have any questions or would like a demo, feel free to join our Discord community and follow us on [Twitter](https://twitter.com/tothemoonrepo)!",
        "url": "https://www.ycombinator.com/launches/I4q-moonrepo-simplifying-codebase-management-and-organization",
        "votes": 21,
        "created_at": "2023-02-21T19:13:22.175Z"
      }
    ]
  },
  {
    "id": 28416,
    "name": "Pierre",
    "slug": "pierre",
    "former_names": [
      "Umbrella Company"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b78dca2b9a7dd83a3f06b2d4efd75eb21f68233b.png",
    "website": "https://pierre.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are re-building code hosting, code review, and CI primitives from the metal, for the next generation of professional developers: Small, focused teams, working closely, augmented by AI.",
    "one_liner": "Pierre is a new, opinionated, git platform.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677182558,
    "tags": [
      "AI-Enhanced Learning",
      "Developer Tools",
      "B2B",
      "Productivity",
      "Collaboration"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/pierre",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/pierre.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "https://x.com/pierredotco",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1253715,
        "full_name": "Jacob Thornton",
        "title": "Founder",
        "founder_bio": "Jacob Thornton has been doing software development in the bay area for over a decade, as an early employee at startups like Twitter, Medium, and Coinbase.\n\nDuring this time he contributed to several large open source projects (most notably as the co-creator of Twitter Bootstrap), given talks around the world (https://www.youtube.com/watch?v=UIDb6VBO9os), and written several chapters in technical books (beautiful javascript, if Hemingway wrote javascript).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacob-thornton-13a6a5162/",
        "x_url": "https://twitter.com/fat",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12170102c839a10c7f7a28f061f7b97c3d70f378.jpg"
      },
      {
        "user_id": 46928,
        "full_name": "Ian Ownbey",
        "title": "Founder",
        "founder_bio": "I have worked for a number of consumer tech companies ranging from Twitter in 2010 to Coinbase in 2018. I started as a backend engineer using Ruby on Rails and then eventually moved up the stack to iOS engineering, React Native engineering and now mostly React. I enjoy hanging out with my cat when not working.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ian-ownbey-4aa5ba117",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/beda0dcd17ad0f5ebb42b391b4c8c1b7cc8560f1.jpg"
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    "jobs": [],
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    "launches": [
      {
        "id": 69619,
        "title": "Pierre - A new way to review code",
        "tagline": "Pierre enables engineers, designers and business team members to discuss new features before they're merged.",
        "body": "Hi Everyone —\n\nWe are Ian and Jacob, and we are on a mission to modernize code reviews. Sign up for the alpha on [**HeyPierre.app**](http://heypierre.app/)\n\n![uploaded image](/media/?type=post&id=69619&key=user_uploads/46928/b1f1d6e0-88b1-4a2e-b17c-0d5982d2543d)\n\nJacob (CEO) and Ian (CTO) met as early engineers at Twitter 14 years ago.\n\nJacob is the co-creator of Bootstrap (one of the largest and most popular open source communities on GitHub) and later went on to work as one of the first engineers at Medium. Ian was the first intern at Twitter, dropping out of college at 19 to TL the Twitter platform team.\n\nJacob and Ian co-founded a mobile app called Bumpers in 2016, which was eventually acquired by Coinbase. For the next 5 years, they led the Product Platform team at Coinbase and were the company-wide web and mobile DRIs.\n\n### Github doesn’t solve today’s biggest engineering problems\n\nIn the decade+ since Github was built, tools that prioritize real time collaboration and discussion (Figma, Notion, and Linear) have exploded in popularity, but the circa-2006 code review experience hasn’t materially changed.\n\nWe’re building a new way to review code, and we’re starting with pull requests. As engineers with more than 15 years of experience, we’ve seen firsthand how cumbersome a pull request review is using Github — often, pull requests lack necessary context, take too long to approve, and cannot be viewed by non-engineers for feedback. Github’s comment features make it difficult to manage a conversation over time, and discussion is lost when engineers switch to Slack or Hangouts.\n\n### Your code, conversations, and collaborators. Together.\n\nPierre enables engineers to shape the way that their code is reviewed. We’re starting with two of the biggest problems that engineers have:\n\n1. How do you set better context?\n2. How do you better manage discussions?\n\nWe’re taking features of the products you love most — the organized chats of iMessage, the real time collaboration of Figma, and the narrative structure of Notion — and we’re bringing it to code reviews.\n\n![uploaded image](/media/?type=post&id=69619&key=user_uploads/46928/2f0b02fe-d44b-4605-a704-f66aa7736c4f)\n\nUsing Pierre, code review creators can:\n\n* Set context next to the code\n* Reorganize diffs intuitively\n* Break up large pull requests into digestible bites\n\nAnd code reviewers can:\n\n* Be anyone — no more waiting for the bug bash to get design and product feedback\n* Comment on anything — code, images or text\n* Conduct real-time conversations right next to the code\n* Get up-to-speed on changes more quickly\n\n### Why we built Pierre\n\nWe’ve been intimately using GitHub since it’s inception (Ian’s user id is #91). There’s been a lot to love about GitHub over the years, but innovation on the core experience is lagging and other pieces of our toolchain are making us expect more. This is only exasperated by Ian living in NYC and Jacob in SF.\n\nEngineers deserve a realtime, collaborative software platform optimized for productivity - instead of a slow, feed-based social network for coding.\n\n### Try Pierre Out!\n\n* Head to [**HeyPierre.app**](http://heypierre.app/) and sign up for our waitlist. We’re in closed alpha, but we can’t wait for you to try us out.\n* We’re looking for a handful of fast growing teams (with \\~25-50 engineers) to pilot us. If you know a team that could be a good fit, email [rachel@heypierre.app](mailto:rachel@heypierre.app). **Earn a $200 referral bonus for each paying team you bring in.**",
        "url": "https://www.ycombinator.com/launches/I6t-pierre-a-new-way-to-review-code",
        "votes": 67,
        "created_at": "2023-02-23T20:27:31.367Z"
      }
    ]
  },
  {
    "id": 28417,
    "name": "Yuma AI",
    "slug": "yuma-ai",
    "former_names": [
      "Yuma"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b5e2299b8aa66bb93182989998fcde535817370.png",
    "website": "https://yuma.ai",
    "all_locations": "Boston, MA, USA",
    "long_description": "## What is Yuma AI?\r\n\r\nYuma is automating customer support by providing an AI Support Agent orchestration platform. Yuma provides autonomous AI agents dedicated to customer service and e-commerce.\r\n\r\nWe integrate directly with help desk software (Zendesk, Kustomer, Gorgias, etc.) and focus on helping large Shopify brands deal with their high volume of support requests.\r\n\r\nTop merchants using Yuma can automate up to 80% of their support tickets fully autonomously.\r\n\r\n## Why do Shopify merchants need Yuma?\r\n\r\nThere are thousands of large Shopify merchants around the world generating $10M+ a year. Most of them have taken over some niches and are great at what they do: selling their products.\r\n\r\nBut they all have one thing in common: they all hate customer support. It's a burden for them and a huge source of cost, as they receive hundreds of requests per day. Some of them have dozens of support agents on staff, usually offshore, and the overall quality is still often pretty poor while staff turnover remains high.\r\n\r\nThose merchants have been promised automation for years but have always been disappointed by the outcome. As customers, we have all had to live through a terrible support automation experience before, so this is no secret, and everyone knows that the current state of the technology is quite bad.\r\n\r\n## Yuma is solving this in a few ways:\r\n\r\nYuma isn't just another RAG chatbot. Our platform provides autonomous AI agents dedicated to support and ecommerce.\r\n\r\nThese agents are powered by knowledge, follow processes, and are managed by our in-house AI orchestration technology. This ensures safety, control, and quality at every step.\r\n\r\nWe believe that to truly automate customer support, we must develop a platform that mimics the actions of a human support agent. That's exactly what we've been doing.\r\n\r\nCurrently, our top merchants are automating 60% of their support tickets through Yuma. Yuma can fetch information from external services and take actions in other apps as needed to resolve each ticket.\r\n\r\nWe are laser-focused on building the best AI support agent platform and aim to achieve 80% true automation in the next few months.\r\n\r\n## Fun Fact\r\n\r\nYuma got started by accident. This is my third YC startup after Socialcam (W12) and Triplebyte (S15). I released Yuma as a prototype for fun in mid-December 2022 and was overwhelmed with demo requests. That's when I knew I was onto something and had to turn this into a real company, once again.",
    "one_liner": "The AI Support Agent for Ecommerce",
    "team_size": 26,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677585502,
    "tags": [
      "Customer Support",
      "AI",
      "Conversational AI",
      "AI Assistant"
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    "nonprofit": false,
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    "url": "https://www.ycombinator.com/companies/yuma-ai",
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    "year_founded": 2023,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/yuma-ai/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 37163,
        "full_name": "Guillaume Luccisano",
        "title": "Founder",
        "founder_bio": "Currently Founder @ Yuma (W23) - Previously Co-Founder at Triplebyte (S15) & Socialcam (W12) - Seed Investor in 60+ companies.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/guillaumeluccisano/",
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    "news": [
      {
        "title": "Yuma Raises $5M to Transform Ecommerce Customer Support with Advanced AI Agents",
        "url": "https://yuma.ai/news-announcements/yuma-ai-raises-5-million-to-transform-e-commerce-customer-support-with-advanced-ai-agents",
        "date": "Oct 31, 2024"
      }
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    "launches": [
      {
        "id": 116594,
        "title": "Yuma Voice: Your AI support agent now answers the phone",
        "tagline": "AI phone support for brands. Resolves requests and takes real actions, with a unified, single Handbook to define the rules for your AI agents across every channel.",
        "body": "👋 We are Yuma, YC W23, and since 2023, We have automated millions of customer conversations for retail &amp; ecommerce brands.\n\nToday we're launching Yuma Voice. The same AI agent that handles your email, chat, and WhatsApp can now answer your phone!\n\nThis one took many, many months of work and iteration from the whole team. I'm very proud to finally put it in your hands :)\n\n**Why we built it**\n\nWe have spent years teaching AI agents how to actually resolve customer requests: understand the problem, follow the brand's policies, look things up, and take the right action.\n\nWe wanted to bring all of that to the phone. But making seamless at the same time.\n\nVoice is a totally different beast. It has to be fast, accurate, and personable. One awkward pause or misunderstanding, and the customer hears it immediately. But the hardest part was making it as capable as the rest of our agents.\n\nA customer calls at 11pm to skip her next delivery. Yuma picks up, finds her subscription, confirms the change, updates it during the call, and tells her when the next delivery will arrive.\n\nThat's the experience we've been working toward.\n\n**What it does**\n\n* **Takes real actions during the call.** Update an address, cancel an order, process a return, or change a subscription while the customer is still on the line.\n* **Uses everything you've already configured.** Same knowledge, same processes, same guardrails as your existing Yuma agents. Nothing to retrain or duplicate.\n* **Speaks 30+ languages.** It can follow the customer even when they switch languages mid-call.\n* **Works on your phone number and your website.** Connect your existing telephony or add a browser call button.\n* **Hands over when it should.** You decide when to transfer to a human or collect an email for follow-up. Recordings and transcripts give your team the context.\n* **Lets you start small.** Run it after hours, on weekends, or on a portion of calls. Listen to the conversations and expand when you're comfortable.\n\nIt plugs into the helpdesk and ecommerce tools you already use, with voice conversations alongside the rest of your support activity.\n\n**Try it yourself**\n\n☎️ [Call Emily, our live demo](https://yuma.ai/voice-demo).\n\nShe handles support for Daybreak Coffee, our fictional demo store. Pick a sample customer on the page, ask to skip a shipment or change a subscription, and see how she handles it.\n\nYou can call directly from your browser. It’s that easy!\n\nPlease try it and give me blunt feedback. That's why we're launching here :)\n\n**Looking for**\n\nAre you running a retail brand with phone support, or thinking about offering it?\n\nWe would love to help you connect Yuma Voice, set up your first processes, and review the results together. Contact Guillaume, the founder below, or [book a demo](https://yuma.ai/voice-ai-agent).\n\nAnd if you know a brand whose team spends too much time handling repetitive calls, send them our way 👀\n\nContact Guillaume, the founder at g-voice-ai-launch@yuma.ai for priority setup.\n\n**What else does Yuma do?**\n\nYuma brings your entire customer service operation into a single platform. Email, chat, social, WhatsApp, and now voice, with AI agents handling both inbound and outbound conversations across every channel.\n\nWhether customers contact you or your agents reach out first, it all runs through Yuma. A single Handbook defines the rules, and a single tool lets you manage the full customer experience.\n\nYuma is AI for CX infrastructure.\n\n![uploaded image](/media/?type=post&id=116594&key=user_uploads/37163/9dbfb2d6-b738-4f4f-9c3b-ebe6a3213fd1)\n\n",
        "url": "https://www.ycombinator.com/launches/UKY-yuma-voice-your-ai-support-agent-now-answers-the-phone",
        "votes": 3,
        "created_at": "2026-09-23T21:00:25.732Z"
      },
      {
        "id": 99564,
        "title": "Ask Yuma: The AI that runs your entire support operation",
        "tagline": "Commerce brands can now build automations, investigate ticket issues, find optimization opportunities, and generate reports by talking to their AI platform in plain English.",
        "body": "👋 We are **Yuma (YC W23)**, the AI agent layer for commerce CX. We started building on OpenAI's Davinci model in late 2022 and have processed millions of customer conversations for 100+ commerce brands since.\n\nToday we are launching **Ask Yuma**. Think Claude Code, but for your entire CX operation. A conversational AI built into every page of the Yuma dashboard.\n\n**Demo video:**\n\n<https://youtu.be/qqc3XGCEHAc?si=8X4Lx4DatRe1fJMX>\n\nAsk Yuma knows your entire support operation: tickets, automations, knowledge base, metrics, integrations, brand voice. You tell it what you want in plain English. It does the work.\n\n**Why we built it**\n\nSince 2023, Yuma has automated millions of customer interactions for commerce brands. Our best merchants automate 93% of their customer conversations. The automation works.\n\nBut configuring it was still painful. Merchants had SOPs in Google Docs they couldn't turn into live automations without our help. They wanted to investigate why a ticket was handled wrong but had to file a request and wait. They knew there were more tickets to automate but finding them meant hours of manual digging.\n\nThe dependency on our team was the bottleneck. So we built Ask Yuma: one conversational interface that puts all of that in the merchant's hands, with our team still there when they need us.\n\n**What it does**\n\n**Build automations from documents:** Upload any SOP or process doc. Ask Yuma reads it, asks clarifying questions, generates a visual flowchart, and produces a complete automation ready to go live. What used to take days takes 1 conversation.\n\n**Find automation opportunities:** Ask Yuma analyzes your escalated tickets, ranks recommendations by impact, and links to real examples so you can verify before acting.\n\n**Diagnose issues:** Ask \"why was this ticket handled wrong?\" Ask Yuma traces the root cause through your configuration and tells you what to change.\n\n**Generate reports:** Ask for a report of every product defect reported this week. Ask Yuma searches thousands of tickets, pulls the images, and generates a PDF you can share with your exec team or manufacturer.\n\n**Monitor performance:** Track automation rate, CSAT trends, unusual spikes, and compare time periods in plain English. No dashboards to build.\n\nIt doesn't stop there. Ask Yuma finds what's broken, proposes a plan, gets your approval, implements the fix, tests it in a sandbox, and verifies it worked.\n\nIn just 1 week of internal release, Ask Yuma has seen 60% adoption among existing merchants.\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/ccaf771b-aa36-4429-930f-2f22e68be888)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/1ddfc2a1-f617-4280-932b-329fa2945bd5)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/150191ac-4804-4fc7-987c-e1fe19abba26)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/0b951c2a-8621-4c37-8ec4-b3ee345c13bc)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/a3d159ca-0dc6-4ef4-a161-2e77f40b28f2)\n\n**Looking for**\n\nCommerce brands running support automation that want to move faster without the manual work. We will connect Ask Yuma and help you find automation opportunities on day one. Reach out to Guillaume (founder) at [g-social-ai-launch@yuma.ai](mailto:g-social-ai-launch@yuma.ai).\n\n**What else does Yuma do**\n\nYuma is a full AI agent infrastructure for commerce brands. Beyond Ask Yuma, we offer autonomous support agents, a sales AI widget for product pages, social media comment automation, deterministic workflow builder, and deep ticket analytics. All connected, all powered by the same orchestration layer.\n\n**What should we build next?**\n\nWe are working on automated weekly process recommendations, scheduled reports, and MCP integration so you can use Ask Yuma directly inside Claude and other AI tools. Tell us what workflow you wish you could ask your support data about. We build based on what brands need most.\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/a4887f0d-d8f8-4894-95ee-7b0156b779a9)\n\n",
        "url": "https://www.ycombinator.com/launches/Pts-ask-yuma-the-ai-that-runs-your-entire-support-operation",
        "votes": 19,
        "created_at": "2026-04-08T14:39:18.485Z"
      },
      {
        "id": 98153,
        "title": "Social AI: Put E-commerce Social Media on Autopilot",
        "tagline": "Safely automate social media moderation across Facebook, Instagram, and TikTok.",
        "body": "👋 We are Yuma, YC W23. Since 2023, we've automated over 5 million customer interactions for leading e-commerce brands with Support AI and Sales AI. Today we're launching our newest product: **Social AI**\n\nSocial AI puts your brand's social media comments on autopilot. It connects to your Facebook, Instagram, and soon TikTok pages, ingests every comment in real time, classifies each one by intent and sentiment, and acts based on automation rules you define. In early testing, Social AI safely automates up to 60% of repetitive social media moderation.\n\n**Why this matters**: because social comments are one of the last unmanaged channels in e-commerce. They're public, they shape brand perception, and most teams have no system for handling them. And \"safely\" matters here. One careless AI reply on a post can reach thousands of eyes in minutes.\n\n**Why we built it**\n\nWe kept hearing the same thing from customer support and social teams at high-growth brands: social comments are a blind spot.\n\n* \"A negative comment sits on a post for days and nobody can catch it.\"\n* \"Someone asked a product question under our Instagram ad. By the time we saw it, they'd already bought from a competitor.\"\n* \"A frustrated customer tagged us publicly. It snowballed into 40+ replies before anyone on our team even noticed.\"\n* \"A customer leaves a glowing comment and we don't even say thank you.\"\n* \"We have 1 person manually scrolling through hundreds of comments.\"\n\nSupport tickets have tools. Social comments didn't. We've been running Social AI in private beta for the past year. Today, after a major upgrade, we're opening it up to everyone.\n\n**What's different**\n\n* Works across both paid and organic posts. Negative comments on your ads are conversion killers, and Social AI catches them before they cost you.\n* Built-in automation templates for common scenarios (reply, like, hide, flag, or skip), with the ability to create fully custom rules\n* Configurable agent persona: set the tone, verbosity, and brand guidelines so replies sound like your team wrote them\n* Advanced targeting based on the commenter's follower count, so high-profile users get the extra care they deserve\n* Crisis prevention: automatically detect and escalate comments that could spiral into bigger brand issues before they do\n* 24/7 coverage. 50% of comments are posted outside business hours and on weekends. Social AI is always on so your brand is never unprotected.\n* Safety first: every automation rule is scoped by platform, intent, sentiment, and user popularity. You stay in control of what gets automated and what doesn't\n* Real-time dashboard with engagements, automation coverage, sentiment distribution, negative exposure rate, and unanswered rate across all platforms\n\n**The demo video:**\n\n<https://youtu.be/6X6W_k6Cs8c>\n\n**Looking for:**\n\nAre you running an e-commerce brand and leaving social comments unmanaged? We'd love to help you set up Social AI, configure your automations, and track the impact with a 30-day free trial. 👀\n\nContact Guillaume, the founder at [g-social-ai-launch@yuma.ai](mailto:g-social-ai-launch@yuma.ai) for priority setup.\n\n**What else does Yuma do?**\n\nWe also offer AI agents for e-commerce support (Support AI) and a product page Q&A widget to boost conversion (Sales AI). On top of that, our platform includes a visual automation builder (Flows) and a ChatGPT-like interface for surfacing customer voice insights from support tickets (Deep Search). :)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/6d6bf373-8851-4839-9000-95026af84bc2)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/c822a5ad-30d5-47e9-8ffb-562dc987dd3f)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/fbcfd039-9496-497e-871a-2616e80c16e2)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/91b861bf-7efc-46ff-9cc7-3467f7df03ca)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/fcb91c3e-7cbb-4c2e-b0d8-dc890d46316b)\n\n",
        "url": "https://www.ycombinator.com/launches/PX7-social-ai-put-e-commerce-social-media-on-autopilot",
        "votes": 25,
        "created_at": "2026-02-24T20:59:26.072Z"
      },
      {
        "id": 95775,
        "title": "Deep Search: Chat With Your Customer Voice",
        "tagline": "ChatGPT-style interface that turns your support ticket history into instant insights, trends, and answers.",
        "body": "👋 We’re **Yuma (YC W23)**, an AI agent platform **dedicated to e-commerce brands**. Similar to Sierra and Decagon but built for **high-volume retail support**.\n\nToday we are launching **Deep Search**, our latest innovation for unlocking **Customer Voice**.\n\nDeep Search is an **LLM-powered conversational search engine** on top of your support ticket history (your entire support **ticket cloud**). Instead of digging through dashboards or exports, you ask questions in plain language and get **clear, sourced answers** straight from recent customer conversations.\n\n### Why we built it\n\nSince 2023, Yuma has helped brands resolve **millions of support tickets**. CX teams kept asking questions that no tool could answer well:\n\n* _“Which products are generating defects or breakage complaints this week?”_\n* _“What is driving checkout abandonment and what are customers saying about it?”_\n* _“Are refund requests spiking for a specific SKU or variant?”_\n* _“What new issues are trending right now that we did not even know about?”_\n\nDashboards only show the metrics you already track. The real **Customer Voice lives in the support tickets**.\n\n### Why it matters\n\nDeep Search gives you insights **in minutes** that used to take **days of manual work** or were simply not economically viable to produce. Until today, no one had the time or budget to manually read and analyze hundreds or thousands of support tickets.\n\nNow you get that work done **instantly**. Product, CX, ops, and growth leaders can finally:\n\n* Spot **product defects** before they create churn\n* Identify **friction points** that slow or block purchases\n* Surface **refund and return patterns** across SKUs\n* Detect **trending issues early** and intervene fast\n* Ship improvements backed by **real customer data**\n* Turn support into a **compounding ROI engine**\n\nDeep Search makes your support tickets an **always-on source of business intelligence**.\n\n### What it does\n\nDeep Search:\n\n* Scans your entire **support ticket cloud** in seconds\n* Identifies themes like product defects, shipping issues, sizing confusion, checkout friction, or subscription churn\n* Surfaces patterns that teams usually miss until it is too late\n* Returns concise analysis with **real ticket snippets** you can click into\n* Supports **follow-up questions** with full conversational context\n* Generates reports on anything you ask for and **emails them on a schedule**\n* Helps CX, product, ops, and growth teams move from **reactive to proactive**\n\nDeep Search turns your support history (your ticket cloud) into a **live Customer Voice layer** you can explore, monitor, and automate.\n\nDemo video: https://www.youtube.com/watch?v=V7t4UDkFbxM\n\n### Looking for\n\nWe are looking for e-commerce brands that want to use support data for **decision-making**, not just firefighting. We will help you plug in Deep Search, define your key questions, and track the impact.\n\nContact Guillaume (the founder) at [**g-sales-ai-launch@yuma.ai**](mailto:g-sales-ai-launch@yuma.ai) for early access.\n\n### What else does Yuma do\n\nYuma also offers **AI agents for e-commerce support** and **Sales AI** for product-page Q&A. Top brands automate up to **70%** of support with us.\n\n### What should we build next?\n\nWe are adding **dynamic charts**, trend visualizations, and anomaly alerts to Deep Search. If there is something specific you want to analyze or ask from your support tickets, tell us. We are shaping the roadmap based on what brands need most.\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/423d30b5-09ea-4f68-ba9f-b4fa15c0791c)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/d934e3fb-2c75-4b73-8a80-927f38563bad)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/bddadaab-df99-4cf8-982e-ad7a8e782fab)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/66f63c0e-3481-4031-a5df-ac52ad420a0b)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/728d3d61-5280-4837-8f01-a41a96fe5c59)\n\n",
        "url": "https://www.ycombinator.com/launches/Oul-deep-search-chat-with-your-customer-voice",
        "votes": 26,
        "created_at": "2025-11-25T17:27:47.699Z"
      },
      {
        "id": 95152,
        "title": "Flows: AI Agent Builder for Precise, Reliable Ecommerce Support",
        "tagline": "Visual Step-by-Step Builder for Ecommerce Support",
        "body": "👋 We’re **Yuma (YC W23)**, an AI support platform for e-commerce, and today we’re launching one of our biggest updates yet: **Flows**, a visual automation builder for ecommerce support.\n\n**Flows** expands Yuma’s AI agents’ capabilities with a visual builder for explicit, deterministic steps. You can now combine process-based AI agents with the reliability of a flow for faster, more precise CX automation.\n\n### **Why we built it**\n\nFor more than 2 years, Yuma has helped merchants automate customer support using our natural-language AI Agents builder, resolving over 5 million tickets to date. But as merchants grow, they need more control, advanced workflows, and precision while staying flexible and easy to maintain.\n\nThat’s why we built **Flows**, a visual, step-by-step builder that adds structure, clarity, and reliability to AI automation.\n\n### **What it does**\n\nFlows let merchants visually define how an SOP (Standard Operating Procedure) runs, step by step and action by action. Each step is visible, enforced, and powered by a mix of good old hard code and LLMs.\n\nFlows combine quick ramp-up and adaptability with _strict step-by-step control_ where it matters.\n\nWith Flows, you can:\n\n* Build if/then logic visually with guaranteed execution\n* Combine AI conversations and deterministic rules\n* Review and debug complex automations in minutes\n* Gather clear insights and metrics on automation paths\n* Use hooks and ordered API & CRM calls for full consistency\n\n### **Why it matters**\n\nFlows make automation more reliable and easier to maintain. It brings three major advantages:\n\n**Step-by-step precision:** Every action runs exactly as designed, with enterprise-grade reliability you can trust.\\\n**Visual clarity:** Instantly see, review, and debug every step of your automations, no guessing or black boxes.\\\n**Hybrid flexibility:** Combine LLM adaptability with structured, reliable workflows for the best of both worlds.\n\nThe result is higher accuracy, fewer escalations, and faster resolutions, all in a visual format you can refine in minutes.\n\n### **The demo video**\n\nhttps://www.youtube.com/watch?v=6J1OMGCM2v0\n\n### **Looking for**\n\nWe’re looking for merchants and DTC brand owners who want to test **Flows** and share honest feedback 👀\n\nWe’ll help you build your first Flow, monitor accuracy, and measure results.\n\nContact Guillaume, the founder, at [g-sales-ai-launch@yuma.ai](mailto:g-sales-ai-launch@yuma.ai) for early access.\n\n### **What's Yuma's full suite of products?**\n\nFlows is part of Yuma’s full suite. Top brands automate up to 70% of support with us. With 3 main products — Support AI, Sales AI, and Social AI — we integrate with helpdesks like Gorgias, Zendesk, Kustomer, Gladly, Front, and Salesforce (I know, even Salesforce!!) to automate support, pre-sales, social interactions, and more.\n\n—\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/6ae22e52-741e-4ce1-a0e9-29a0a97e0d0e)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/e54a55a9-7f35-482b-baa9-bdea778b5756)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/c9fda7bd-d74f-467d-ba7d-42b307853b99)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/9a74d334-e177-4566-b67c-34ba665342ff)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/61460ccb-56b7-4392-86de-2781fb526ec3)\n\n",
        "url": "https://www.ycombinator.com/launches/Oki-flows-ai-agent-builder-for-precise-reliable-ecommerce-support",
        "votes": 26,
        "created_at": "2025-11-04T16:15:37.558Z"
      },
      {
        "id": 94117,
        "title": "Sales AI: Shopify product Q&A widget that boosts revenue",
        "tagline": "AI-powered PDP widget that answers shoppers' hesitations instantly",
        "body": "👋 We are Yuma, YC W23. Today, on top of already automating customer service for more than a hundred merchants, we are launching our latest product: **Sales AI**\n\nSales AI is a product Q&A widget dedicated to Shopify. It sits on each PDP (product page), suggests the top questions a shopper is likely to ask, and answers instantly. If they want more, a lightweight chat opens with a fuller answer. From there, they can add to cart inside the chat or get more recommendations.\n\nWhy this matters: because the future is shopping, not chat! Shoppers want info delivered to them before they ask for it! Most drops happen on PDPs because of missing information.\n\nSales AI reduces that friction and in controlled A/B tests lifts conversion by up to 14%! It also records what people asked, which answers helped, and where they still hesitated, so as a brand, you see the \"why\" behind purchases and bounces.\n\n**What’s different:**\n\n* Tailored FAQs per product and per visitor behavior\n* Uses your existing Shopify data + policies + prior support knowledge\n* A/B test friendly; 2-click to install; doesn’t slow the site\n* Full dashboard & insights with Yuma-driven revenue/purchases, impressions, interaction rate\n\nOne of our early partners, **Parachute Home**, credits the product with improving both customer experience and revenue. “Our shoppers love the interactive FAQ widget. They get answers fast, and on desktop, in one A/B test, we saw our Revenue Per Visitor increase +18% and our Average Order Value +4% - Mehdi Ait Oufkir, CEO of Parachute Home.”\n\n**The demo video:**\n\nhttps://www.youtube.com/watch?v=XcRN5GQ89hk\n\n**Looking for:**\n\nDo you own any D2C stores with a bit of traffic and are you willing to try Sales AI and give us blunt feedback? 👀 We'll help set it up, watch the numbers with you, and iterate!\n\nContact Guillaume, the founder at [g-sales-ai-launch@yuma.ai](mailto:g-sales-ai-launch@yuma.ai) in order to get priority setup.\n\n**What's Yuma's other product?**\n\nWe also offer AI agents dedicated to support and e-commerce! Our top brands automate up to 70% of their CX with us. :)\n\n---\n\n—\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/94fdd8b0-4e7c-49a1-ab95-e106140292fa)\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/629d91f1-ea82-4fc2-80b5-bfbb02fb8e9b)\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/90ddadbc-e5bf-4e47-9d63-872b6696607f)\n\n",
        "url": "https://www.ycombinator.com/launches/OU1-sales-ai-shopify-product-q-a-widget-that-boosts-revenue",
        "votes": 35,
        "created_at": "2025-09-25T14:30:35.251Z"
      },
      {
        "id": 84121,
        "title": "Yuma: AI agents for e-commerce customer service",
        "tagline": "The leading AI-powered CX automation platform.",
        "body": "↗️ support quality & consistency. ↗️ customer satisfaction. ↗️ cost-efficiency.\n\n**TL;DR**\n\nMillions of E-commerce merchants share the same pain: costly and inefficient customer support that deteriorates customer loyalty. [Yuma](https://yuma.ai/) is on a mission to automate 100% of your support tickets and change customer support for good. Merchants love Yuma AI for its accuracy and industry-leading automation rate.\n\n## The Yuma Story\n\nI'm G, and I'm delighted to re-introduce Yuma.ai, my 3rd company - after Socialcam (W12) and Triplebyte (S15)!\n\nYuma was launched by accident 🤷‍♂️. After I released a prototype in December ‘22, my inbox was inundated with requests from Shopify merchants, and I decided to retake the startup route.\n\nI did YC once more in W23 with Yuma as an AI co-pilot for customer support agents, but things have changed rapidly since then. We are now a full-grown, fully automated AI Agent orchestration platform.\n\nToday, Yuma has over 100+ paying merchants who choose Yuma.ai for its unmatched accuracy, dedicated customer support, and industry-leading automation capabilities (over 50% of automated - and successful - ticket resolutions).\n\nWe’re building a world where businesses will never worry about customer support again, and we’re turning Yuma.ai into the most advanced Customer Support platform.\n\n![Industry Leading CX Automation rate with AI](/media/?type=post&id=84121&key=user_uploads/37163/03444e47-ceae-435b-83da-8663b1be3da0)\n\n---\n\n—\n\n## Top benefits from real users:\n\n* Achieve up to **50% full automation** of all your support tickets. - [**Learn how Petlibro did it**](https://yuma.ai/case-studies/how-petlibro-achieved-49-automation-and-saves-20-annually-with-yuma-ai)\n* Achieve **4X ROI** on your investment in Yuma AI - [**Learn how MyVariations did it**](https://yuma.ai/case-studies/myvariations)\n* Reduce first-response-time **(FRT) by 87%** - [**Learn how MFI Medical did it**](https://yuma.ai/case-studies/how-mfi-medical-cut-first-response-time-by-over-87-and-automated-45-of-customer-inquiries-with-yuma-ai)\n* Reduce monthly support **cost by 33%** - [**Learn how MyVariations did it**](https://yuma.ai/case-studies/myvariations)\n* Be **available 24/7** and manage demand spikes - [**Learn how Omnie did it**](https://yuma.ai/case-studies/omnie-and-yuma-ai-reshaping-e-commerce-customer-service-together)\n\n—\n\n![Top Merchants having success with Yuma.ai](/media/?type=post&id=84121&key=user_uploads/37163/1f000682-b3e9-4669-8764-bf0060fa8cda)\n\n## Reasons to use Yuma\n\n* Unlimited processed tickets, only charged on a full-automated-resolution basis.\n* Dedicated support regardless of plan, through exclusive Slack channels.\n* Access to the best AI models, even for small plans.\n* Unlimited AI Agents & SOPs\n* Natively Multi-store and Multilingual\n* Omnichannel Support: chat, email, social, etc\n* Top-notch integrations with third-party services\n\n## Our Ask 🙏\n\n**💸 Know any e-commerce businesses, CX managers, or Shopify agencies?**\n\nSend them our way—they will be forever grateful! Plus, we’re offering a referral bonus for every lead that turns into a customer.\n\nJust drop us an email at [hello@yuma.ai](mailto:hello@yuma.ai)\n\n**🛒 Own an e-Commerce store?**\n\nBook a demo and see [Yuma.ai](https://yuma.ai) in action. You will receive a white-glove onboarding experience along with a 30-day free trial. 🙂 \n\n![uploaded image](/media/?type=post&id=84121&key=user_uploads/89898/711c85bf-4427-4554-abe4-8ba5980e6022)\n\n",
        "url": "https://www.ycombinator.com/launches/Lsn-yuma-ai-agents-for-e-commerce-customer-service",
        "votes": 12,
        "created_at": "2024-09-18T17:36:12.306Z"
      },
      {
        "id": 69885,
        "title": "Yuma - ChatGPT for customer support",
        "tagline": "Yuma is using LLMs to automate support for Shopify merchants",
        "body": "**TL;DR:** _Thousands of large Shopify stores all share the same pain: a costly and inefficient customer support. Yuma leverages LLMs and integrates directly with help desks to automate away their high volume of support requests._\n\n## **The Yuma Story**\n\nHi everyone,\n\nI'm G and I'm very pleased to be launching [Yuma](https://yuma.ai), my third company!\n\n**I did YC twice before** already, with Socialcam (W12) and Triplebyte (S15). It seems like I just can't help myself, and I had to do it all over again.\n\nThis time around, however, it's a little bit special as Yuma was launched by accident 🤷‍♂️. I released a prototype in December 2022, and my inbox was inundated with installation requests from Shopify merchants. That's when I knew I was onto something, and I decided to take the plunge. Having experienced that roller coaster ride before, I know exactly what I am signing up for again and I am thrilled about the long and eventful journey that lies ahead.\n\n## **Why do Shopify merchants need Yuma?**\n\nThere are thousands of Shopify merchants around the world generating $10M+ a year, and they all have one thing in common: **they all hate customer support**. It's a burden for them and a huge source of cost as **they receive hundreds of requests per day**. Some of them have dozens of support agents on staff, usually offshore, and the overall quality is still often pretty poor, while staff turnover remains high.\n\nThose merchants have been promised automation for years, but the technology has always fallen short, leaving them disappointed. As customers, we have all had to live through a terrible support automation experience before, so it's no secret that **the available current solutions are pretty bad**.\n\n**This has to change**, and we believe that the technology is finally there to fix this problem once and for all. Of course, our goal is for Yuma to do it :)\n\n## **The main things Yuma can do for merchants today:**\n\n* **One-click install** into **help desks**: **no configuration required**, zero adoption cost, and no change in workflows for the support agents.\n* By **combining LLMs with custom knowledge bases**, Yuma suggests drafts to support agents.\n* By analyzing historical tickets, Yuma can **copy the writing style of any brand**, but also understand and **replicate their current workflows** autonomously.\n* By bringing the power of LLMs to rules and templates, Yuma delivers a new type of dynamic workflow that wasn't possible before.\n\nYuma is already live on Gorgias at the moment, and our Zendesk app will be live in a few weeks.\n\n![uploaded image](/media/?type=post&id=69885&key=user_uploads/37163/858ab524-d3ce-461b-968c-43ba41dea793)\n\n\n## **Our ask 🙏**\n\nDo a good deed today and **save a Shopify merchant in your network by telling them about Yuma**. They will be forever grateful! Not only that, they will receive a white-glove onboarding experience along with a 7-day free trial. :)\n\n— —\n\nThank you for reading!\n\n🔥",
        "url": "https://www.ycombinator.com/launches/IBB-yuma-chatgpt-for-customer-support",
        "votes": 74,
        "created_at": "2023-03-02T21:07:47.495Z"
      }
    ]
  },
  {
    "id": 28421,
    "name": "Metal",
    "slug": "metal-2",
    "former_names": [
      "Pluto Technologies",
      "Apollo Group"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d405f124083ad95be24745d98de294a71b7cf71c.png",
    "website": "http://www.metal.so",
    "all_locations": "Lahore, Punjab, Pakistan",
    "long_description": "Backed by a16z and YC, Metal is building an AI-native operating system for founders raising venture rounds. Metal brings proprietary intelligence on the venture ecosystem, enabling founders to identify the \"most likely\" investors, research various firms, and identify who they know that can introduce them to specific investors.\r\n\r\nMore than 100 YC founders have signed as paying customers.",
    "one_liner": "Metal is an AI-driven operating system for fundraising",
    "team_size": 21,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1675845716,
    "tags": [
      "B2B",
      "Investing",
      "Enterprise Software",
      "Investments",
      "Fundraising"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Pakistan",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/metal-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/metal-2.json",
    "year_founded": 2024,
    "city": "Lahore",
    "country": "PK",
    "linkedin_url": "https://www.linkedin.com/company/raisewithmetal/?viewAsMember=true",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/metal-515f",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d405f124083ad95be24745d98de294a71b7cf71c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1251288,
        "full_name": "Usman Gul",
        "title": "Founder",
        "founder_bio": "Building super intelligence for fundraising. Prior to Metal, I raised $120m for my first startup across six venture rounds. And before that, I was a part of the early team at DoorDash and Marqeta.\n\nI can be reached at gul@metal.so.",
        "is_active": true,
        "linkedin_url": "https://pk.linkedin.com/in/gulsf",
        "x_url": "https://twitter.com/usmangul",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e40b4dedeb2162c43f00d729ce00017cfa77a70.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 28589,
    "name": "HockeyStack",
    "slug": "hockeystack",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90725285723955c6a718c11c6de42fac109093c5.png",
    "website": "https://hockeystack.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "HockeyStack improves sales outcomes for B2B companies by helping them record and understand every interaction their customers have with their marketing, sales reps, CSMs, and products. \r\n\r\nWe map every customer touchpoint from ad impression to closed won and to upsell using our own tracking script and native integrations to the B2B GTM tech stack. \r\n\r\nBuilding this source of truth allow us to give companies previously hidden insights that generate incremental revenue, such as:\r\n\r\n- Deploy marketing budget: \"Launch this ad campaign to this audience to generate $XM in pipeline\"\r\n- Target the right accounts with the right messaging: \"These accounts have the highest likelihood to convert, put them on this email sequence\"\r\n- Convert more of the pipeline: “Pied Piper hasn't visited the site for 8 days; give Jim a phone call”\r\n",
    "one_liner": "The operating system for inbound B2B revenue",
    "team_size": 32,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1680648195,
    "tags": [
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        "full_name": "Buğra Gündüz",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ HockeyStack. I started learning to code as a child, started selling digital products online in my freshman year of high school in Turkey, went to the US for college & dropped out during my first quarter to build HockeyStack.",
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        "full_name": "Arda Bulut",
        "title": "Founder",
        "founder_bio": "co-founder and cto",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ardabulut-627211/",
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        "title": "HockeyStack raises $20 million for marketing analytics and attribution",
        "url": "https://www.axios.com/2025/01/28/hockeystack-revenue-analytics-software",
        "date": "Jan 28, 2025"
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    "launches": [
      {
        "id": 73647,
        "title": "🏒 HockeyStack — Revenue intelligence & attribution for B2B",
        "tagline": "How Whatfix, Cognism, and 35+ others analyze marketing and sales performance & generate more pipeline",
        "body": "### _TL; DR,_\n\n1. _Customers connect all data sources (CRM, ads, web, and product analytics…) to HockeyStack to create a source of truth for customer engagements. No engineering work required._\n2. _HockeyStack shows which channels, campaigns, content, segments, etc. drive the most revenue and active customers._\n3. _HockeyStack creates lists of high-intent accounts that customers can use to launch the most efficient sales & marketing campaigns._\n\nWe’re Arda, Buğra, and Emir. We came from Turkey & dropped out of our first semester of college in the US to build [HockeyStack](https://www.hockeystack.com/?utm_source=launchyc), because we realized that every single B2B enterprise has the same exact #1 problem.\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/5a0ce469-00e7-416a-8af0-ba3a7b9f0718)\n\n### Problem\n\nRevenue-facing teams in B2B companies run all their operations on customer data, whether it is managing an advertising budget, launching integrated campaigns, closing deals, or retaining customers. But there is no central system of record for customer data that they can use to run their operations, so instead, they rely on tens of different data tools and spreadsheets.\n\nThe CRM was built for this purpose, but over 20 years it got outdated, and companies found themselves either having to find hacks to format their data to fit the CRM, or build a data warehouse from scratch.\n\n### Solution\n\nHockeyStack collects all data about customer interactions through a web analytics script, a set of integrations to revenue-related business systems (CRM, ads, marketing automation, email, etc.), and data partners.\n\nAny non-technical person in a B2B company can use HockeyStack’s reporting interface to answer complex questions like:\n\n* What marketing channel had the best unit economics this quarter?\n* Which segment of companies do we have the highest account penetration in?\n* What makes a customer buy our software faster?\n* Who are the highest intent companies who have not yet booked a demo with us?\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/d86c6313-72ee-42ce-9500-4875f29a8a3b)\n\nThey click into the numbers, and can see a list of accounts behind the report, all of which have their entire history of engagement with the company displayed alongside important firmographics.\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/25f109b6-83e0-44d3-bb45-3a5ae267d2de)\n\nThis information can be used to create and export lists of high-intent accounts based on different segmentations out to various marketing and sales platforms to start or accelerate the sales conversation.\n\n### **🙏 Ask**\n\nWe’d love to be introduced to marketing and sales leaders at B2B enterprises or scale-ups!\n\n### 🤲 **Give**\n\nWe’d be happy to help any B2B founder with advice in generating inbound pipeline.\n\nYou can reach me at [bugra@hockeystack.com](mailto:bugra@hockeystack.com) or [LinkedIn](https://www.linkedin.com/in/bgrgndzz/).",
        "url": "https://www.ycombinator.com/launches/J9r-hockeystack-revenue-intelligence-attribution-for-b2b",
        "votes": 124,
        "created_at": "2023-08-01T15:53:50.382Z"
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    "website": "https://www.artie.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Artie is software that streams data from databases to data warehouses in real-time. Today, most companies run their ETL process every few hours or overnight, so their data warehouse is always out of date; with Artie, the warehouse always has live production data.",
    "one_liner": "Software that streams data from databases to warehouses in real-time",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1684375922,
    "tags": [
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    "status": "Active",
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    "regions": [
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/artie",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/artie-technologies/",
    "x_url": "https://x.com/artie_labs",
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    "cb_url": "https://www.crunchbase.com/organization/artie-a438",
    "github_url": "https://github.com/artie-labs/transfer",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/973d2f0c6c4d07505113e974a08d18864eb95d54.png",
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    "primary_partner": {
      "name": "Jared Friedman",
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    "founders": [
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        "user_id": 1276059,
        "full_name": "Jacqueline Cheong",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO at Artie. Building the real-time data streaming platform for AI. \n\nWe give companies the kind of streaming pipelines and deep observability that Netflix, DoorDash, and Instacart built in-house - without hiring 10+ engineers and spending 1-2 years on platform work. Artie automates the entire data ingestion lifecycle, from capturing changes to merges, backfills, and observability, and scales to billions of change events per day. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacqueline-cheong/",
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        "full_name": "Robin Tang",
        "title": "Founder",
        "founder_bio": "CTO @ Artie. Software engineer with a background in distributed systems.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tang8330/",
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    "jobs": [
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        "id": 85441,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/artie/jobs/HyaHWUs-enterprise-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$240K - $320K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
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        "title": "Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/artie/jobs/APdtYeH-solutions-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "salary_range": "$175K - $200K",
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      {
        "id": 99179,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/artie/jobs/A5udo6A-product-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 99181,
        "title": "Senior Software Engineer ",
        "url": "https://www.ycombinator.com/companies/artie/jobs/7KTFRRy-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 100518,
        "title": "Senior Business Development Representative - Enterprise ",
        "url": "https://www.ycombinator.com/companies/artie/jobs/vv6SEu9-senior-business-development-representative-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$115K - $150K",
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    "news": [
      {
        "title": "Artie: Real Time Data Streaming For The AI Age",
        "url": "https://www.youtube.com/watch?v=M57MeOY-n3g",
        "date": "Jan 26, 2026"
      },
      {
        "title": "Artie helps companies put data to work faster with real time syncing | TechCrunch",
        "url": "https://techcrunch.com/2024/02/14/artie-helps-companies-put-data-to-work-faster-with-real-time-syncing/",
        "date": "Feb 14, 2024"
      }
    ],
    "launches": [
      {
        "id": 111491,
        "title": "Artie Free Plan: real-time data replication for $0/mo",
        "tagline": "Stream data to your warehouse or another database, free forever – up to 1M rows a month.",
        "body": "### TL;DR\n\nArtie streams production data into your warehouse or another database in real time, so your downstream systems and workflows never run on stale data.\n\nWe launched Artie’s Free plan so startups and solo builders can get real-time database replication without a card, sales call, or CDC infrastructure project.\n\n[Check out our launch video:](https://www.youtube.com/watch?v=jXPNzOyPVH0)\n\n### The problem\n\nA solo developer wiring Supabase or Postgres into a warehouse doesn’t want to take on a CDC project. A startup’s first data hire needs fresher data for a product workflow, payments, or support, but doesn’t have a data platform team to build it. A larger company wants to test a narrow use case before pulling in procurement and security.\n\nAll three have the same initial question: will this work with our database, our destination, and our data? Answering that should take less than an afternoon, without needing to put down a credit card or join a sales call.\n\nFor Keep, a fintech startup, setting up a connector on Artie took around 10 minutes. Their team wanted Postgres and MongoDB data in Snowflake, but didn’t want to spend months building and maintaining pipelines. Their CTO’s reason for that was straightforward: he wanted the team differentiating on product, not babysitting data infrastructure. [Read Keep’s story](https://www.artie.com/customer-stories/keep-enables-real-time-data-stack-and-audit-logs?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan).\n\n### Why now\n\nStartups are building products and operating workflows around production data with smaller teams than ever. They want that data in their warehouse (or another database) in real time, but need a way to test a real workload without building and running Kafka, Debezium, connectors, and monitoring.\n\n### What's included\n\nArtie Free includes:\n\n* Two active pipelines\n* 1 million billable rows per month\n* Backfills, not counted toward the monthly row limit\n* Sources: Postgres, MySQL, MongoDB, DynamoDB, CockroachDB, DocumentDB, Amazon Keyspaces, and PlanetScale\n* Destinations: Snowflake, BigQuery, Redshift, Databricks, MotherDuck, Postgres, S3, GCS, and ClickHouse\n\n[See the full plan details](https://www.artie.com/pricing?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan).\n\n### Artie’s MCP Server\n\nArtie also has [an MCP server,](http://mcp.artie.com/?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan) so you can manage pipelines from Claude or Codex instead of switching to the dashboard. You can list and create pipelines, inspect schema changes, manage backfills and connectors, and search the Artie data catalog, all from a conversation.\n\nThe MCP server is now a [ChatGPT Plugin](https://chatgpt.com/plugins/plugin_asdk_app_6a62a153d4088191a5e551ec94e025da?q=artie) and listed in [Claude's connector directory](https://claude.ai/directory/artie). You can also use another MCP-compatible client, such as Cursor, by pointing it at `https://mcp.artie.com/mcp` with an API key from your Artie dashboard. [Full setup docs here](https://www.artie.com/docs/api/mcp?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan).\n\n### Our ask\n\nIf you are a founder, solo developer, or first data hire, [try Artie’s Free plan](https://app.artie.com/signup?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan) with one real workload. Tell us what gets in the way: permissions, configuration, schemas, or getting the first row through.",
        "url": "https://www.ycombinator.com/launches/T0F-artie-free-plan-real-time-data-replication-for-0-mo",
        "votes": 33,
        "created_at": "2026-08-20T16:50:12.222Z"
      },
      {
        "id": 102815,
        "title": "Artie - Real-time data replication to your data warehouse",
        "tagline": "Give your AI agents fresh data they can actually act on",
        "body": "**TL;DR:** Artie is a fully managed, real-time data replication tool that streams every row-level change from your production database to your warehouse in under 60 seconds. You can now sign up and start replicating today, no call required. Most teams run their first sync in under an hour.\n\n<https://www.youtube.com/watch?v=BYgz9NaIBLg>\n\n**The Problem**\n\nGetting data from your production database to your warehouse in real time has always meant picking your poison.\n\nYou build it yourself: Kafka, Debezium, custom merge logic, months of engineering, and years of maintenance as schemas evolve and the engineers who built it move on.\n\nYou use an existing CDC tool: usually something inherited, unreliable at scale, and not built for the warehouse destinations you're actually running.\n\nOr you accept stale data: dashboards refreshing every 3-24 hours, AI pipelines reasoning over yesterday's snapshot, analytics teams filing 9 am tickets asking why the numbers don't add up.\n\nMost teams are somewhere on this spectrum – either maintaining a pipeline they didn't want to build, or working around data they can't trust. That was a manageable problem when stale dashboards just annoyed your analytics team, but it becomes a bigger beast when AI agents are making pricing decisions, routing support tickets, and scoring risk off the same lagged data.\n\nA warehouse that's 12 hours behind isn't a minor inconvenience anymore – it's a liability.\n\n**The Solution**\n\nSee it work: <https://www.youtube.com/watch?v=xp0Yp77_Z9w>\n\nArtie handles the entire replication layer so you don't have to. No self-built Kafka stack to maintain, no unreliable CDC tool to babysit, no stale data to apologize for. Connect your source, choose your destination, and your warehouse stays in sync with production continuously.\n\nAI agents are only as good as the data they act on. If your warehouse is hours behind, your agents are too. Artie gives your AI layer what it actually needs: a warehouse that reflects production in real time, without engineering overhead.\n\n**How It Works**\n\nArtie uses change data capture (CDC) to read directly from your database's replication logs – capturing every insert, update, and delete as it happens. Those changes stream continuously to your warehouse, landing in under 60 seconds. There's no bulk export, no scheduled job, no polling. Just a live, accurate reflection of your production data.\n\nUnder the hood, Artie handles the operational complexity: schema changes propagate automatically, delivery is exactly-once even through failures, and your destination tables stay in sync without any pipeline code on your end. The things that take most teams a year or two to get right are already solved.\n\n**Sources:** PostgreSQL, Amazon Aurora/RDS, GCP CloudSQL, Supabase, MySQL, Microsoft SQL Server, MongoDB, DocumentDB, DynamoDB, Oracle, CockroachDB, Amazon Keyspaces (Cassandra), and an Events API\n\n**Destinations:** Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, Microsoft SQL Server, MotherDuck, S3, GCS, Iceberg REST Catalog, and Amazon S3 Tables\n\n**The Team**\n\nRobin (co-founder and CTO) has been building large-scale data pipelines his entire career – from processing 14 billion daily events at [Outbound.io](http://Outbound.io), to filing patents on event streaming at Zendesk, to running data infrastructure at Opendoor. He started Artie because he kept hitting the same ceiling: pipelines that worked until they didn't, and teams spending years maintaining infrastructure that should have been solved.\n\nBefore co-founding Artie, I covered enterprise software at Bank of America and Balyasny Asset Management and kept running into the same gap: companies burning engineering cycles on data pipelines that shouldn't require a team to maintain. We've been building Artie together for three years, went through YC S23, and closed a $12M Series A led by Dalton Caldwell at Standard Capital.\n\n**Our Ask**\n\nIf you're a data engineer or engineering manager tired of stale warehouse data, [try it yourself](https://go.artie.com/launch) today. See real-time replication running in your own environment – not a demo, not a sandbox, but against your actual data.\n\nIf you need private networking, dedicated infrastructure, or compliance support, [book a demo](https://go.artie.com/2822ee) and we'll walk you through what an enterprise setup looks like.\n\n[Try Artie today](https://go.artie.com/launch)",
        "url": "https://www.ycombinator.com/launches/QkJ-artie-real-time-data-replication-to-your-data-warehouse",
        "votes": 43,
        "created_at": "2026-06-09T17:12:18.002Z"
      },
      {
        "id": 88730,
        "title": "🐘 Artie for Enterprise - Data Replication at Petabyte Scale",
        "tagline": "High-volume, low-latency data replication that scales effortlessly",
        "body": "# TL;DR\n\n[Artie](https://www.artie.com/?utm_campaign=launch-week-q125&utm_source=yc-launch) streams data from databases to data warehouses in real-time and more reliably than traditional ETL solutions. Many companies are still running their ETL process every few hours, so their data warehouse is constantly out of date; with Artie, the data warehouse always has live production data.\n\nArtie was founded to solve an enterprise data movement problem. Today, we’re launching Artie for Enterprise, for teams requiring high-volume, low-latency data replication that scales effortlessly. Whether dealing with massive volumes, strict security requirements, or mission-critical workloads, Artie ensures data is always live, accurate, and easy to manage. 🚀\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/89898/675b1398-6b54-40a0-888f-a3f4f487ffc3)\n\n# Problem\n\nEnterprises need real-time, reliable, and secure data replication—but existing solutions make this far more painful than it should be.\n\nTraditional ETL pipelines often run on fixed schedules, updating data warehouses hours behind reality and leaving teams with outdated insights. Many replication tools try to brute-force data movement by running expensive, inefficient queries that **increase load on production databases**, slowing down applications and, in extreme cases, even **bringing them down entirely**. Scaling these systems across thousands of tables typically requires **manual, error-prone configurations**, forcing teams to spend countless hours debugging pipelines just to keep data flowing.\n\nOn top of that, many enterprises operate in highly regulated environments where data can’t be fully offloaded to the cloud. Traditional replication solutions struggle to support hybrid deployments, forcing teams to choose between security and ease-of-use.\n\n# Artie for Enterprise provides reliable, secure, and high-volume data replication\n\n### Terraform support\n\n_“Um, we have thousands of tables to configure. Do I really need to click thousands of times on your dashboard to get connectors set up?”_ We hear this question a lot and our answer is “**Absolutely not”**, which is where our Terraform provider comes in. \n\nJust because your data volume is high does not mean management needs to be equally complex. No more endless clicks—just code it, deploy it, and go.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/ed2daad8-2763-4dfc-aaad-ea336ba4daf0)\n\n### Multi-step merge\n\nMerging large, frequently updated tables can be expensive and slow. We wanted to solve this problem without forcing customers to increase compute costs or scale up their virtual data warehouses.\n\nWith multi-step merge, Artie now loads data into a staging table in multiple bursts, allowing updates to accumulate before merging into the target table. This reduces latency and improves efficiency. Customers can now control how often data lands in the staging table before triggering a final merge—giving them real-time syncs with more flexibility and cost savings.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/0dcc6696-60c9-4ab8-a301-9764abbb5756)\n\n### Hybrid deployment\n\nEnterprise-grade replication means deployment flexibility is non-negotiable. There are many organizations out there that handle data containing sensitive information and are required to operate under strict regulations.\n\nOur hybrid deployment model ensures the security of on-premise data processing with the ease of use of cloud services. What’s more? Artie’s fully-managed service allows for zero-maintenance, and removes the need to install and manage client-side agents.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/5464e25f-5c07-4bbc-8926-ea10fc6c48e1)\n\n### MySQL Connector upgrade\n\nWe’ve made major improvements to our MySQL connector, making it enterprise-grade with improved performance, efficiency, and automation. These updates streamline database operations, reduce disk usage and I/O load, and automates data synchronization without complex configuration requirements and management overhead. \n\nKey improvements include full DDL and gh-ost migration support for seamless, non-disruptive schema changes, automatic fan-in for partitioned tables, and GTID support for reliable transaction replication.\n\n### PostgreSQL CTID scanning\n\nBackfills can be disruptive and resource-intensive. That’s why Artie is built to seamlessly recover from errors and avoid backfills unless absolutely necessary. \n\nHowever, in the event that backfills are required, how do we minimize disruption? Enter PostgreSQL CTID; an alternative backfill method that is **10-20x faster** than traditional methods.\n\n### Datadog integration\n\nAt Artie, we’ve always been big on observability. What good are your data pipelines if nobody has visibility into them? We prioritize accurately monitoring your pipeline performance and making sure you know what’s up. \n\nWith our Datadog integration, you can now track all Artie-exposed metrics directly from your Datadog dashboard. This allows you to **proactively monitor pipeline performance, set up custom alerts**, and build dashboards for deeper insights.\n\nStay on top of your data pipeline health—effortlessly.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/38889e0e-30ca-495f-b777-4af640e9aa3b)\n\n# Curious to learn more?\n\nFollow our journey on [LinkedIn](https://www.linkedin.com/company/artie-technologies), [X](https://x.com/artie_tech) and reach out to us [here](https://www.artie.com/contact?utm_campaign=launch-week-q125&utm_source=yc-launch) to see how you can benefit from enterprise-grade replication!",
        "url": "https://www.ycombinator.com/launches/N58-artie-for-enterprise-data-replication-at-petabyte-scale",
        "votes": 17,
        "created_at": "2025-03-18T14:06:08.364Z"
      },
      {
        "id": 76461,
        "title": "Artie’s Analytics Portal - Real-time data pipeline observability",
        "tagline": "Real-time observability into database pipelines and peripheral infrastructure",
        "body": "# TL;DR\n\n[Artie](http://www.artie.so) is a real-time database replication solution. We leverage change data capture (CDC) and stream processing to perform data syncs in a more efficient way, which enables sub-minute latency and helps optimize compute costs. Today, we’re launching our Analytics Portal to provide visibility into our streaming pipelines and offer production-level monitoring for related system infrastructure out-of-the-box.\n\nWith the Analytics Portal, we hope to help alleviate some of the challenges that data teams face when running their data stack. By offering real-time observability into database pipelines and peripheral infrastructure, we hope companies can increase their understanding of how systems impact one another, reduce downtime/debug issues faster, and generate proactive alerts to maintain robust infrastructure. \n\n# **Visibility related to database replication is lacking**\n\nThe core of database replication is transferring data in a timely, accurate, and reliable manner. This is table stakes. In addition, there is a lot more happening in the peripheral, such as database monitoring, data pipeline visibility, data latency monitoring, and others. Data engineers need visibility to answer questions like: \n\n* How many rows have been synced in the past hour? How does that compare to the average/median/last month? \n* What is the data latency for our organization’s three most important tables? What are the factors that impact data latency and how are those metrics trending? \n* How are my systems performing?\n  * Are there any database permission errors that may cause my data pipeline to go down? \n  * Are my databases sized correctly? How is CPU, memory, and storage utilization? \n  * Is my replication slot growing? By how much?\n\n \n\nSetting up these metrics and monitors is important to help with debugging and maintaining a robust database replication solution. However, this requires expertise and domain knowledge that may not be accessible at every company. There is also no standardization of which metrics to track and what benchmarks to follow. To make matters worse, when it comes to adopting cloud solutions, database/pipeline visibility is severely limited. When pipelines break down, customers are often left in the dark, not knowing what broke, why it broke, and how to fix it. \n\n# **Artie’s Analytics Portal unlocks visibility & reduces MTTD**\n\nWe are extremely excited to announce our Analytics Portal to increase the visibility and observability of our streaming pipelines. This will provide insights into system-level infrastructure and help with monitoring database and pipeline health. When identifying and resolving issues, one of the most important metrics is to reduce MTTD (mean time to detection). With Artie’s streaming pipelines and periodic jobs like [Postgres Watcher](https://docs.artie.so/real-time-sources/postgresql#postgresql-watcher), metrics are being sent to our Analytics Portal in flight, as the underlying data is still being processed. \n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/f4fe85ba-5ced-4892-9653-ed030638826d)\n\nWith the first iteration of our Analytics Portal, we are providing industry-standard telemetry to streaming pipelines and related infrastructure. Data teams will be able to observe the following: \n\n* Data ingestion latency by table and database/deployment\n* Operation distribution by table and database/deployment\n* Rows synced by table and database/deployment\n* Database monitors that are related to and can impact pipeline performance: \n  * Permission errors that may interfere with data replication\n  * Replication slot size\n  * Free disk space\\*\n  * CPU utilization\\*\n  * Memory and Disk I/O (input/output)\\*\n  * Average transaction time\\*\n  * Existence of long-running queries\\*\n\n\\*coming soon\n\n# Production level monitoring out-of-the-box\n\nThe Analytics Portal initially comes with a set of pre-built charts and monitors. Customers are able to drill down to get deployment, database, and table-level statistics.\n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/bcbbd68a-9808-48c5-92e5-1f61b53f9d86)\n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/b5ec3d58-4f94-4af0-89d3-14ab920b2003)\n\nThe pre-built monitors that we are launching with include alerts for database permission errors and replication slot growth (for Postgres users). Over time, we will add alerting for the other monitors we mentioned above and more. This enables customers to have production-level monitoring set up out-of-the-box for their business-critical data. \n\nFor example, an e-commerce company might be watching its `online transactions` table closely during the holidays. Let’s say they observe data ingestion latency going up for `online transactions`. They zoom out and realize it’s not just the `online transactions` table that is experiencing higher latency, but all tables under their Postgres connector are impacted and very few rows have been synced in the past 5 minutes. To troubleshoot this, they look over to the database monitors and realize their database’s replication slot has been growing and the culprit is a long-running query that has locked the table and is preventing Postgres from advancing the replication slot. After a quick Slack message to their internal DevOps team, the query is killed and the issue is resolved. \n\n# Making the Analytics Portal more actionable & customizable over time\n\nOver time, we will make the data more actionable and customizable. In the near future, we plan to enable row-based monitoring such that customers can monitor custom business logic. In addition to the pre-built charts and monitors that we provide out-of-the-box, we want to allow customers to create custom charts and configure views based on metrics that matter to their business. \n\nFor example, say you are working at a Fintech company that wants to monitor live transactions to detect fraud and abuse on your platform. You have a `transactions` table and this table is being synced to your Snowflake instance. You should be able to generate a chart to plot the average, median, p95, and max transaction sizes across various lookback periods (30 minutes, 1 hour, 24 hours, 7 days, etc). Then you can set up business logic monitors such as:\n\n* Flag transactions that are 1.5 standard deviations above average coming from a merchant who signed up on the platform less than one week ago\n* Flag key accounts where transaction volume has increased above or fallen below a certain threshold in the past hour\n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/1a22097c-f925-43c4-9fac-c5bf5035b55d)\n\nDepending on how you’d like to be notified, Artie plans to support the following escalation channels:\n\n* Email\n* Slack\n* Webhooks\n\nIn this example, the escalation channel is a webhook to your API server so you can then run a more rigorous machine-learning fraud model against a particular merchant account or transaction.\n\n# **Contact us at **[**hi@artie.so**](http://www.artie.so)** to learn more!**",
        "url": "https://www.ycombinator.com/launches/JtF-artie-s-analytics-portal-real-time-data-pipeline-observability",
        "votes": 24,
        "created_at": "2023-11-27T17:42:21.200Z"
      },
      {
        "id": 72536,
        "title": "Artie - real-time data streaming for databases ⚡",
        "tagline": "We transfer data from databases to data warehouses in real-time with CDC streaming",
        "body": "# _TL;DR_\n\n_Artie is an open-source, streaming version of Fivetran - we transfer data from databases to data warehouses in real-time. Setting up a connector takes minutes and Artie leverages change data capture (CDC) to help companies reduce their data warehouse costs by 50%! We enable organizations to unlock real-time insights for better decision making. _[_Star us on GitHub_](https://github.com/artie-labs/transfer)_!_\n\n![uploaded image](/media/?type=post&id=72536&key=user_uploads/1276059/60958f68-f519-4d78-bb98-c2c33974cb39)\n\nHi everyone, we are Jacqueline and Robin and we’re the team behind [Artie](https://www.artie.so/?utm_source=YC&utm_medium=newsletter&utm_campaign=launchYC&utm_id=launchYC). We’re on a mission to eliminate data latency and make it easy for every company to enable real-time data streaming!\n\nData is typically synced from production databases to the data warehouse once every X hour(s)/day(s) - this is a constraint that companies have lived with for decades. Robin personally felt the pain of not having access to production data in real-time and there were no easy to use out-of-the-box solutions, so we decided to build one! \n\n# **❌ The Problem**\n\nDoes your company sync data to the data warehouse every 6 hours, or worse, once a day? Are your analytics always lagged and filled with stale insights? **Why settle for a data platform that’s barely good enough when you can have real time data AND reduce your data warehouse costs?!** Not to mention you can have Artie set up in minutes!\n\nTraditional ETLs are based on **batched processes** that operate on a cron schedule (DAGs, Airflow) and **cannot achieve real-time data syncs**.\n\nBuilding and managing streaming data pipelines is hard. Most companies have a small team of data engineers and they often spend all day maintaining their data pipelines, which is not productive.\n\nFactors companies should consider if they want to self-manage pipelines:\n\n* Can the solution scale to multiple different data sources?\n  * How easy is it to add new data sources?\n  * How easy is it to manage across all the data sources?\n* Can the solution scale to handle 1m+ queries per second?\n  * Is the solution horizontally scalable?\n  * Do workers require coordination? Or are they stateless and distributed?\n* How do you ensure there are no out of order or missing events (even when the system crashes)?\n* Can the solution handle schema evolution without creating breaking changes downstream?\n\n# **🎉 Solution**\n\nArtie leverages change data capture (CDC) and stream processing to achieve **sub-minute data latency (\\~typically 10-20 seconds)**. Since we **only transfer changed data**, Artie is more efficient than traditional ETLs and can help you **cut down on your data warehouse cost by 50%!**\n\nSetting up a connector requires no programming. Just follow the setup guide and deploy in minutes! After the initial snapshot, any changes in your database will be reflected in your data warehouse in real-time.\n\n![uploaded image](/media/?type=post&id=72536&key=user_uploads/1276059/879c552d-7c8a-402e-9378-56f55380308a)\n\n# **🎯 Who Needs Artie?**\n\n**Engineers** that are exhausted stitching together Airflow + AWS Glue + Apache Spark + AWS Kinesis/Kafka + Apache Flink 😵‍💫\n\n**Companies that are using traditional ETLs or batched processes**. Once you enable real-time, there is no going back (your data engineers/BI analysts won’t let you)! Think of all the previously unattainable use cases that you can now implement without data latency.\n\n**Companies that have a cost cutting initiative.** Adopt Artie’s CDC streaming capabilities to reduce your data warehouse costs!\n\n# **🙏 Ask**\n\nEmail [hi@artie.so](mailto:hi@artie.so) or sign up [here](https://artie.so/contact?utm_source=YC&utm_medium=newsletter&utm_campaign=launchYC&utm_id=launchYC) to try Artie today! \n\nWant to use open source? Install Artie at <https://github.com/artie-labs/transfer> (give us a ⭐!) and ping us on [Slack](http://artie.so/slack?utm_source=YC&utm_medium=newsletter&utm_campaign=launchYC&utm_id=launchYC), we’re happy to help you get started.",
        "url": "https://www.ycombinator.com/launches/Irw-artie-real-time-data-streaming-for-databases",
        "votes": 108,
        "created_at": "2023-06-26T15:13:53.399Z"
      }
    ]
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    "id": 28659,
    "name": "PeerDB",
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    "website": "https://peerdb.io/",
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    "long_description": "At PeerDB, we are building a fast, simple and the most cost effective way to stream data from Postgres to Data Warehouses, Queues and Storage engines. If you are running Postgres at the heart of your data-stack and move data at scale from Postgres to any of the above targets, PeerDB can provide value.\r\n\r\n\r\nWe support different modes of streaming - log based (CDC), cursor based (timestamp or integer) and XMIN based. Performance wise, we are 10x faster than existing tools. Features wise, we support native Postgres features such as comprehensive set of data-types incl. jsonb/arrays/postgis, efficiently streaming toast columns, schema changes and so on.",
    "one_liner": "Fast, native ETL for Postgres 🐘 🚀",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1686776037,
    "tags": [
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      "Open Source",
      "Data Engineering",
      "Enterprise Software",
      "Databases"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
    "industries": [
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    "regions": [
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      "Partly Remote"
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    "stage": "Early",
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      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Existing ETL tools primarily focus on supporting a wide range of data-stores. However, they fall short in providing a rich experience for any two specific data-stores. This becomes evident when your workloads need scale or have demanding feature requirements. It is common for such users to try out these tools and fail – tools not meeting their performance and reliability SLAs or lacking the required features. Such users resort to developing their own in-house solutions, investing a lot of time and resources. This was a common pattern across various customers at our previous companies (Microsoft, Google)"
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    "linkedin_url": "https://www.linkedin.com/company/peerdb",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 728174,
        "full_name": "Sai Srirampur",
        "title": "Founder",
        "founder_bio": "Building world’s best data-movement experience for Postgres. Ex-Microsoft - Headed Solutions Engineering all up for PostgreSQL on Azure, Ex-Citus Data (YCS11 acq. Microsoft) - Early Engineer, IIIT-H Alumnus, He/His",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sai-krishna-s-1741b019",
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      {
        "user_id": 311868,
        "full_name": "Kaushik Iska",
        "title": "Founder",
        "founder_bio": "Working on PeerDB to make the Postgres ETL story stellar. Previous work experience includes leading teams at Google, Palantir, Safegraph.",
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    "news": [
      {
        "title": "Real-time database startup ClickHouse acquires PeerDB to expand its Postgres support | TechCrunch",
        "url": "https://techcrunch.com/2024/07/30/real-time-database-startup-clickhouse-acquires-peerdb-to-expand-its-postgres-support/",
        "date": "Jul 30, 2024"
      },
      {
        "title": "PeerDB raises $3.6 million seed funding to revolutionize data movement for PostgreSQL",
        "url": "https://blog.peerdb.io/peerdb-raises-3-6-million-seed-funding-to-revolutionize-data-movement-for-postgresql",
        "date": "Apr 11, 2024"
      },
      {
        "title": "PeerDB raises $3.6M to accelerate PostgreSQL data movement - SiliconANGLE",
        "url": "https://siliconangle.com/2024/04/11/peerdb-raises-3-6m-accelerate-postgresql-data-movement/",
        "date": "Apr 11, 2024"
      },
      {
        "title": "Launch HN: PeerDB (YC S23) – Fast, Native ETL/ELT for Postgres | Hacker News",
        "url": "https://news.ycombinator.com/item?id=36895220",
        "date": "Jul 26, 2023"
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    ],
    "launches": [
      {
        "id": 72937,
        "title": "PeerDB - Modern ETL in minutes, with SQL",
        "tagline": "Data store-first ETL/ELT, enabling 10x faster syncs and transforms",
        "body": "## **TL;DR**\n\nPeerDB is a Postgres-compatible SQL interface to seamlessly integrate multiple data stores. It enables data engineers to sync, transform and query data across their stores using simple SQL commands. PeerDB takes a data store native approach in engineering — enabling 10x faster ETL/ELT.\n\n## **Problem**\n\nExisting ETL/ELT tools primarily focus on supporting a wide range of connectors at the expense of delivering high-quality ones. This becomes evident when your workloads need scale or have demanding feature requirements. While Sai was working at Microsoft, it was common to see large enterprise customers try out the existing ETL tools and fail – as the tools were not meeting performance and reliability SLAs or were lacking the required features. Customers spent significant time and resources to build and manage in-house data pipelines.\n\n## **Our Solution**\n\n### Data-store nativity at its core, enabling 10x faster ETL/ELT\n\nPeerDB takes a data store-first approach to data movement. It supports highly adopted stores and implements multiple infrastructural and data store native optimizations – providing a blazing-fast and feature-rich ETL experience.\n\nWe are starting our journey by providing the world's best data integration/ETL experience for **PostgreSQL,** [one of most used and popular databases](https://db-engines.com/en/ranking_trend/system/PostgreSQL). For example, on Postgres we parallelize initial load for larger tables using CTID scans. This yields orders of magnitude speedups - Syncing 100s of GB reduces from days to minutes.\n\nOur architecture is designed for real-time syncs, which enables 10x faster Change Data Capture with data freshness of a few seconds even at large throughputs (10k+ tps). For example, in a sync from Postgres to BigQuery or Snowflake, PeerDB is 10 times faster than other tools and provides <30s data-freshness guarantees.\n\n![uploaded image](/media/?type=post&id=72937&key=user_uploads/728174/dc134471-e0d0-48c5-bbda-6d2ec339c421)\n\n### SQL as the ETL/ELT standard\n\nThe Postgres-compatible SQL layer for ETL makes the life of data engineers very easy. They can develop pipelines using a framework they are familiar with, without needing to deal with custom UIs and REST APIs. They can use [Postgres' 1000s of integrations](https://github.com/PeerDB-io/peerdb#postgres-compatible-sql-interface-to-do-etl) to build and manage ETL.\n\nWe extend Postgres' SQL grammar with a few new intuitive SQL commands to enable real-time data streaming across stores. As we evolve, we will make this grammar richer and the standard for ETL/ELT.\n\n## **Our Asks**\n\nIf PostgreSQL is a critical component of your data stack and you are running into challenges moving data in and out of Postgres, reach out to us at [founders@peerdb.io](mailto:founders@peerdb.io) or join our waitlist at <http://peerdb.io/> We would love to collaborate!\n\nAlso check out PeerDB’s Open Source repo - <https://github.com/PeerDB-io/peerdb> (don’t hesitate to leave us a star!)\n\n## **Finally, a bit about us**\n\nWe are Sai and Kaushik. We've been best buddies for the past 15 years now. We were roommates back in undergrad and actively collaborated since then. Now we have decided to start a business together! 🙂\n\n![uploaded image](/media/?type=post&id=72937&key=user_uploads/728174/4795901c-d1ac-4e3e-b565-7113c9ef3ca0)\n\nPrior to PeerDB, Sai worked at Microsoft leading Solutions Eng. for all PostgreSQL services on Azure. He was an early engineer at Citus Data (YC S11) and saw it through the Microsoft acquisition. Prior to PeerDB, Kaushik built operating systems and led data teams at Google, Safegraph and Palantir. He also represented India in ACM ICPC World Finals. With our diverse and complementary experiences, we are excited and confident to build the next-generation ETL/ELT!",
        "url": "https://www.ycombinator.com/launches/IyP-peerdb-modern-etl-in-minutes-with-sql",
        "votes": 60,
        "created_at": "2023-07-11T16:24:18.528Z"
      }
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  },
  {
    "id": 28660,
    "name": "Tremor",
    "slug": "tremor",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/182c66523823a79a77fe5fb67f2c30f66c4f25e3.png",
    "website": "https://www.tremor.so",
    "all_locations": "Zug, ZG, Switzerland",
    "long_description": "React components to build charts and dashboards",
    "one_liner": "The UI toolkit for Dashboards",
    "team_size": 2,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1691077279,
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      "Data Visualization",
      "Web Development"
    ],
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    "year_founded": 2023,
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    "country": "CH",
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        "full_name": "Severin Landolt",
        "title": "Founder",
        "founder_bio": "Co-founder of Tremor. I previously worked as Data Scientist at Accenture, where I developed dashboards for 3 years. I love open-source (16K Stars on GitHub) and designing analytical interfaces.",
        "is_active": true,
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        "title": "Vercel acquires Tremor to invest in open source React components - Vercel",
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        "id": 73762,
        "title": "Tremor – Webflow for dashboards",
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        "body": "![uploaded image](/media/?type=post&id=73762&key=user_uploads/1325352/d762639d-84c1-4c4b-bf46-b418b05b3b9e)\n\nHey everyone, we are [Severin](https://www.linkedin.com/in/b6b682ce450f9e1c8717c24cdb1c988a3ac717b6cbe6e1373a177119a742a434/), [Chris](https://www.linkedin.com/in/kindl/), and [Achilleas](https://www.linkedin.com/in/achilleas-mitrotasios/). Tremor started as an open-source UI library to create dashboards, which grew to more than 10K Github stars in less than 10 months. This is where we discovered how many people need to build consumer-friendly dashboards but lack the resources to do so.\n\n**Problem**\n\nAlmost every SaaS requires visualizing data for their end-users. However, creating customer-facing dashboards from scratch requires a significant effort for both engineering and design teams.\n\nTherefore, many companies cannot afford to invest resources into building a visualization layer, especially when analytics is not part of the core product. Often, this results in an underwhelming user experience and additional revenue left on the table.\n\n**Solution**\n\nThe Tremor Platform is a visual dashboard builder made for developers. It allows users to connect to data sources, create dashboards with an easy-to-use interface, and embed them as a performant, white-labeled analytics layer into existing apps. For example, a bank could deploy a dashboard that visualizes spending to their customer portal, in days instead of months.\n\n**Meet the team**\n\nSeverin, Achi and Chris (left to right) know each other since university. Severin and Chris worked at Accenture for 3+ years, building dashboards for Fortune 500 companies. Achilleas previously worked as a software engineer at Bloomberg. They started Tremor as a side project next to their full-time jobs as they could not find a satisfying solution for visualizing data on websites.\n\n![uploaded image](/media/?type=post&id=73762&key=user_uploads/1325352/5c357073-2dae-464c-aabb-797a21d16fb3)\n\n**Our** **Ask**\n\n1. Sign up on our waitlist at [platform.tremor.so](https://platform.tremor.so)\n2. We love to partner with early customers to evaluate their use cases and optimize our platform to their industry-specific needs. If you are a company looking to leverage your dashboard capabilities, shoot us an email at [hello@tremor.so](mailto:hello@tremor.so).",
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    "long_description": "kapa.ai makes it easy for technical companies to build AI support and onboarding bots for their users. Teams at +150 leading startups and enterprises incl. OpenAI, Mixpanel, Mapbox, Docker, Next.js and Prisma use kapa to level up their developer experience and reduce support.\r\n\r\nWe enable companies to use their existing technical knowledge sources incl. docs, tutorials, chat logs, and GitHub issues to generate AI bots that answers developer questions automatically. More than 750k developers have access to kapa.ai via website widgets, Slack/Discord bots, API integrations, or via Zendesk.",
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        "full_name": "Emil Soerensen",
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        "full_name": "Finn Bauer",
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        "title": "Software Engineer (Full-stack)",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/JPE2ofG-software-engineer-full-stack",
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        "id": 92254,
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        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/O7WYqau-account-executive-europe",
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        "id": 93116,
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        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/HRn1sN0-commercial-associate",
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        "id": 72954,
        "title": "kapa.ai: ChatGPT for developer-facing products",
        "tagline": "We help companies improve developer experience and reduce technical support",
        "body": "**TL;DR:** We make it easy for developer-facing companies to **build AI support bots** for their community. Teams at **OpenAI, Airbyte** and **NextJS** use [kapa.ai](http://kapa.ai) to help onboard new users and reduce support.\n\nWe’re Finn and Emil, the co-founders of [kapa.ai](http://kapa.ai). 👋\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/b1c2d0fe-221f-4319-8689-e8d1bef81e5f)\n\n### **The challenge:** Software has a discovery problem\n\n* **For users:** Have you ever struggled to find what you were looking for on a docs site? We have. And so have the [30 million](https://www.statista.com/statistics/627312/worldwide-developer-population/) other developers in the world.\n* **For maintainers**: Have you ever been pulled out of your work to respond to a customer question that could have been answered by your docs? We have. And so have engineers at the [\\+15,000](https://www.linkedin.com/) developer-facing companies in the world.\n\nThe idea to build [kapa.ai](http://kapa.ai) initially came from a friend that runs a developer-facing company complain about the amount of **“read the f’ing manual” questions** they get and how much of their **engineers’ time** that costs.\n\n### **How we’re solving it:** “ChatGPT” for your docs\n\nWe’ve built a full retrieval augmented generation stack that enables developer-facing companies to **ingest any technical sources into an LLM** and expose it to their community where they have questions.\n\nThe bread and butter of what we’ve been building is a super scalable and **state-of-the-art crawling infrastructure** to ensure high quality data is kept up to date and compatible with LLMs.\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d137227b-004e-493e-bab0-699542312593)\n\nHere are a few examples of how companies are deploying [kapa.ai](http://kapa.ai):\n\n* [**Langchain:**](https://twitter.com/LangChainAI/status/1623752516705067008) **Discord** **bot** in community of 30k devs\n* [**Anyscale**](https://docs.ray.io/en/latest/): **Docs widget** on website of project with +25k stars\n* [**Netlify:**](https://twitter.com/Netlify/status/1651994857391681537) Custom built docs widget on top of **our API** available to their +1 million users\n\nIn addition to reducing support, we’re also helping companies **identify gaps in their documentation and products** by analyzing the answers of their [kapa.ai](http://kapa.ai) bot.\n\n### **Who’s building:** Emil and Finn 👋\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d4aaa0f0-f347-494e-aae7-d4b5e537b114)\n\nWe met +6 years ago in London and ended up doing **two master’s degrees together**: (1) Finance at London School of Economics, and (2) Computer Science at Imperial College London.\n\nWhile building [kapa.ai](http://kapa.ai), Finn (CTO) leans towards doing most of the engineering, bringing his experience from building low-latency trading systems at Bloomberg, although he also did sales at Goldman Sachs and JPMorgan. Emil (CEO) handles most of the business, bringing his experience as an Engagement Manager at McKinsey & Company, but also ships, which he learnt while building applied AI systems at startups.\n\n### **The ask:** Want to reduce developer support?\n\nWe’d love to help your company deploy a [kapa.ai](http://kapa.ai) bot (takes less than 24hrs!). And we’re always looking to connect with folks at developer-facing companies if you’d be up for making an intro.\n\nReach us at [founders@kapa.ai](mailto:founders@kapa.ai) or [sign up for access here](https://www.kapa.ai/early-access) and mention “YC Launch” Thank you so much.",
        "url": "https://www.ycombinator.com/launches/Iyg-kapa-ai-chatgpt-for-developer-facing-products",
        "votes": 79,
        "created_at": "2023-07-11T19:05:10.691Z"
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        "full_name": "Luke Igel",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/kino-ai/jobs/4ur7YIG-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $185K",
        "equity_range": "0.75% - 2.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "launches": [
      {
        "id": 73000,
        "title": "📸 Kino AI - Silicon Valley meets Hollywood",
        "tagline": "Kino automatically organizes footage so filmmakers can edit faster.",
        "body": "Hey! [Wes](https://www.linkedin.com/in/wesleyblock/) and [Luke](https://www.linkedin.com/in/igel/) here! We’re building software for filmmakers at [Kino AI](https://kino.ai).\n\nLuke Igel and I actually started our entrepreneurial journey as amateur documentary filmmakers. We met as freshman at MIT in 2018 and have been friends ever since. In November 2020, we began working together on a [feature-length documentary film](https://regressions.net) about the history of MIT and technology in the United States. It’s called MIT:Regressions.\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/52fb4698-dd83-4a2b-8d92-5c62be30347e)\n\nMaking Regressions inspired us to build tools that help professional storytellers.\n\n### **Cool…but what’s the problem?**\n\nImagine watching this footage and transcribing all of the slated information by hand.\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/43e60a01-2a4a-4ab2-a5be-7db2bbeec90e)\n\nPeople have to do this - and much more - to organize the troths of footage that go into a movie, or a commercial, or a trailer, or a YouTube video, or a…you get the point.\n\nThe process of manually logging this _metadata_ is expensive and time consuming, and mistakes can be catastrophic.\n\n# What does Kino do?\n\nKino automatically infers metadata and uses it to label and organize footage, saving hours every day for assistant editors. We transcribe audio and “describe” the video and turn an unstructured mountain of footage into a useful index. And it all happens locally on the editor’s machine.\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/f705576a-30de-41fe-ae3a-f74397903714)\n\nOur first feature lets users use natural language to find specific moments within their entire footage library. Check out this [demo video](https://www.youtube.com/watch?v=lwon6fWvmco)!\n\n### Want to use Kino at your company?\n\nWe’re running pilots with production companies, creative agencies, and corporate video teams. Please contact sales: [sales@trykino.com](mailto:sales@trykino.com)\n\nConnect with us!\n\n* Sign up for our mailing list! ([https://kino.ai)](http://trykino.com)\n* Follow us on Twitter! ([twitter.com/trykino](http://twitter.com/trykino))\n* Follow us on Instagram! ([instagram.com/try.kino](http://instagram.com/try.kino))\n* Or reach out directly. We appreciate introductions to media professionals, and always welcome words of encouragement. Drop us a note at [hello@trykino.com](mailto:hello@trykino.com)\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/0cafe0de-299d-4421-aa52-7809250926e0)\n\n\\-Wes and Luke",
        "url": "https://www.ycombinator.com/launches/IzQ-kino-ai-silicon-valley-meets-hollywood",
        "votes": 167,
        "created_at": "2023-07-12T19:02:29.659Z"
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        "id": 88460,
        "title": "🌍 Reworkd - Your new scraping co-pilot",
        "tagline": "Effortlessly extract web data at scale.",
        "body": "**tl;dr:** Reworkd automates your entire web data pipeline, end-to-end. It understands websites, writes code, runs scrapers, and validates results — all from one simple system. Today, we're excited to launch our self-serve tool!\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/a0cd569c-51bc-4eba-9b2c-ad3f5472ddea)\n\n# **😩 The Problem**\n\nCollecting, monitoring, and maintaining a web data pipeline can be complex and time-consuming, especially at scale. Traditional methods often struggle with issues such as pagination, dynamic content, bot detection, and site changes—all of which can compromise data quality and availability.\n\nTo address web data needs, businesses are often faced with either building out an internal engineering team or outsourcing to a low-cost country. The former can be expensive, while the latter is often unsustainable and requires significant management oversight.\n\n# **🚀 The Solution:**\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/1704dcda-c244-4f12-8812-c249b5a86829)\n\nRecognizing the inefficiencies of traditional data collection methods, we have built a platform to provide co-pilot experience for scraping. Simply provide a list of websites along with your unified schema, and our platform automatically generates custom Playwright code for each site. You’re not locked into a black-box solution—you have full control to guide, tweak, or completely rewrite the code in our built-in IDE as needed.\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/97652937-38a3-42ff-8c2c-9d7db6a852b2)\n\nIn addition, our platform offers:\n\n* **Real-Time Dashboard:** Monitor your scraping projects in real-time. Track outputs, scraper failures, unique results, visited pages, website review status, file downloads, and more.\n* **Scheduling and Deduplication:** Run scrapers at your desired frequency, choose between full or incremental scraping, and deduplicate data based on a primary key.\n* **Bypass Anti-Bots:** We manage all proxy and anti-bot measures—including captcha solving and diverse proxy setups—so you never have to worry about managing residential, data center, or other proxy types.\n* **Complex Data Types**: We take care of downloading and hosting files, ensuring data availability even as source websites evolve.\n* **Seamless API Integration:** Easily ingest your scraped data through our API.\n\n# **🙏 Our Ask**\n\n* [**Support our Product Hunt Launch**](https://www.producthunt.com/)!\n* **Share Reworkd** with anyone you know who is facing challenges in scaling their web data pipeline.",
        "url": "https://www.ycombinator.com/launches/N0m-reworkd-your-new-scraping-co-pilot",
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        "title": "🌍 Reworkd -  Your new end-to-end web scraping platform",
        "tagline": "Effortlessly extract web data at scale. No code. No maintenance. No worries.",
        "body": "### **tl;dr:** Reworkd automates your entire web data pipeline, end-to-end. It understands websites, writes code, runs scrapers, and validates results — all from one simple system.\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/0ca6ad3d-55af-4bb3-867b-283a56f8b52d)\n\n# **😩 The Problem**\n\nCollecting, monitoring, and maintaining a web data pipeline can be complex and time-consuming, especially at scale. Traditional methods often struggle with issues such as pagination, dynamic content, bot detection, and site changes, all of which can compromise data quality and availability.\n\nTo address web data needs, businesses are often faced with either building out an internal engineering team or outsourcing to a low-cost country. The former can be expensive, while the latter is often unsustainable and requires significant management oversight.\n\n# **🚀 The Solution:**\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/900fe64d-6e59-446a-83e5-9cd706e927d1)\n\nRecognizing the inefficiencies of traditional data collection methods, Reworkd was developed to simplify your web data pipeline. Simply provide us with a list of websites and the schema you want the data mapped to, and we will handle the rest.\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/c7e7d26e-73d2-4a5a-84d6-ca9bd06971fc)\n\nAt its core, Reworkd uses LLM code generation to enable companies to rapidly scale their extraction efforts across thousands of websites. Additionally, we offer:\n\n* **Self-Healing Scrapers**: These scrapers automatically adjust to website updates to maintain data integrity.\n* **Scheduling and Deduplication**: This feature ensures you have a complete and current view of all websites, providing a historical perspective on data changes.\n* **Automatic Proxies**: With Reworkd, there’s no need to choose between residential, data center, or other proxy types—we manage this for you.\n* **Complex Data Types**: We take care of downloading and hosting files, ensuring data availability even as source websites evolve.\n\n# **🙏 Our Ask**\n\n* **Book a Chat!** Have a few minutes? Schedule [a time with us](https://reworkd.typeform.com/to/qscfsOf1) and let’s discuss how we can help scale your data needs efficiently.\n* **Support our launch** [**tweet**](https://x.com/asimdotshrestha/status/1810720478111371581) and follow us on [**LinkedIn**](https://www.linkedin.com/company/reworkd) and [**Twitter**](https://x.com/reworkdai)\n* **Share Reworkd** with anyone you know who is facing challenges in scaling their web data pipeline.",
        "url": "https://www.ycombinator.com/launches/LKa-reworkd-your-new-end-to-end-web-scraping-platform",
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        "title": "🤖 Reworkd AI - The open-source Zapier of AI agents",
        "tagline": "We help automate core business workflows with the help of AI Agents",
        "body": "**tl;dr:** _Reworkd AI connects businesses to AI Agent automation. With an easy-to-use, no-code platform, Reworkd AI allows companies to eliminate tedious, repetitive tasks and accelerate their operations with AI Agents, all while integrating seamlessly with their existing tech stack._\n\n![uploaded image](/media/?type=post&id=73151&key=user_uploads/1285282/8c2f25ca-0406-47ae-af27-7f23a35cc45d)\n\nHello folks 👋 We’re the team behind Reworkd AI.\n\nInitially our team developed AgentGPT, a web based platform for AI Agents which quickly attracted **150K monthly active users** and **25K ⭐️ on GitHub** in the last three months.\n\nAs we built out this platform, we noticed a growing trend: businesses were increasingly seeking automation through AI Agents.\n\n### **❌ The Problem**\n\nToday, the core of many business are comprised of **tasks that require time consuming and manual human intervention**. With the rise of AI Agents, many companies are turning to them to automate these processes in a way that existing workflow tools cannot. In building AgentGPT however, we realized that AI Agents could not handle business-critical processes due to the following problems:\n\n* **Hallucination:** AI Agents make up information not grounded in any facts.\n* **Unproductive loops/repetition:** AI Agents struggle to understand the current context of a task, leading to unproductive loops.\n* **Probability of failure:** Each prompt completion has a certain probability of failure which only compounds with long-running agents.\n\n### ⭐️ **Our Solution**\n\n![uploaded image](/media/?type=post&id=73151&key=user_uploads/1285282/56351169-49c6-4eb4-bad1-efa723afe74e)\n\nOur platform solves these issues by **coupling AI Agents with a structured workflow system**. This enables businesses to formalize and codify their core processes in a verifiably correct way while still enabling AI Agents to reason about the nuances of a problem.\n\nAs an example, one B2B customer in our pilot program vends data to over 30,000 different customers. They’ve leveraged Reworkd to create a workflow that runs an AI Agent through each customer’s website, validating that they are compliant against a set of unstructured rules. Based on these results, the platform will automatically follow up with their customer. This process previously took **an entire department and weeks of manual intervention.** Leveraging our platform, they’ve automated this process to only take a few hours.\n\n### 👥 **The Team**\n\n[Asim Shrestha](https://www.linkedin.com/in/a-shrestha/) **(CEO)**: Former AWS software engineer specializing in internal backend services within RDS. Contributed to ML pipelines and open source ML projects at BC Cancer Research.\n\n[Adam Watkins](https://www.linkedin.com/in/awtkns/) **(CTO)**: Former software engineer at Article specializing in fulfillment logistics optimization. Worked in AI/ML at BC Cancer Research, developing ML deployment infrastructure for clinical nuclear medicine applications.\n\n[Srijan Subedi](https://www.linkedin.com/in/srijansubedi/) **(COO)**: Former program associate at Stemcell Technologies with the New Product Introduction team. Conducted research at The Centre for Heart Lung Innovation (HLI) focused on biologic therapy for individuals with severe asthma.\n\n## 🙌 **Our Ask**\n\n* If you or anyone you know is keen on leveraging AI agents to automate business workflows, [please sign up for our waitlist](https://6h6bquxo5g1.typeform.com/to/qscfsOf1) 😁\n* Have a tedious task you'd want to automate but don’t know if its possible? Email us at [founders@reworkd.ai](mailto:founders@reworkd.ai). We relish challenges and will explore solutions for you!",
        "url": "https://www.ycombinator.com/launches/J1r-reworkd-ai-the-open-source-zapier-of-ai-agents",
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    "long_description": "Boost conversions & organic SEO traffic by adding AI to your search box, unlocking personalized answers, suggestions, comparisons & more\r\n\r\nSolutions\r\n- Add AI Overviews to Search (Boost Conversions) \r\n- Save Answers as Landing Pages (Boost Organic SEO)",
    "one_liner": "AI Overview Search, as a Service",
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    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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        "full_name": "Govind Chandrasekhar",
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        "full_name": "Ishan Agrawal",
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        "date": "Feb 26, 2024"
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        "title": "Ex-Funding Societies CTO launches YC-backed ecommerce AI startup",
        "url": "https://www.techinasia.com/exfunding-societies-cto-launches-ycbacked-ecommerce-ai-startup",
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        "title": "Branch AI - State-of-the-art Ecommerce search, instantly",
        "tagline": "Powered by AI that learns your catalog and tunes itself to drive conversions",
        "body": "### **The Problem**\n\n* [**Search queries are becoming more conversational**](https://blog.branch-ai.com/second-order-effects-of-ai-search-from-keywords-to-intent-63b3b9fa20e8) (ChatGPT effect). However, most Ecommerce retailers & brands still use keyword search tools resulting in lost revenue for tail queries.\n* Search providers give you tools to build search engines, **but leave relevance engineering up to you** (i.e. tuning of the search).\n* Tuning search to maximize conversions is [**complicated & expensive**](https://blog.branch-ai.com/what-it-takes-to-build-effective-search-8a2901a9a943) (involves stitching together embeddings, rankers, NLP models, heuristics & annotated feedback).\n* DIY embeddings and models are easy to experiment with. But building **production-grade deployments requires catalog-specific tuning**, which can unlock 20-30% better accuracy & conversions.\n\n### **The Solution**\n\n![uploaded image](/media/?type=post&id=78740&key=user_uploads/31801/a4c105e8-a6a6-41f0-977c-e09de9b09233)\n\n**Step 1 - Upload/Connect Catalog:** Upload a list of products or connect to an existing search database or platform (e.g. Elastic or Shopify).\n\n**Step 2 - LLM-powered Tuning**: This happens under the hood automatically. We use LLMs to train catalog-specific embeddings, rankers & query rewriters, bootstrapped from our proprietary Ecommerce-specific models.\n\n**Step 3 - AI APIs**: With zero effort, businesses get:\n\n1. _Search API_: Query → Ranked Products (for end-to-end query rewriting, hybrid retrieval & reranking)\n2. _Query Understanding API_: User Query → Catalog-Aware Query (for DIY query expansion/relaxation)\n3. _Embeddings API_: Query or Product → Catalog-specific Embedding (for DIY retrieval)\n4. _Reranking API_: Candidate Products → Re-ordered Products (for DIY precision improvements)\n\n**Step 4 - Preferences**: Users can control search behavior using:\n\n* _Merchandising Strategies:_ Execute smart strategies using simple instruction templates (e.g. “boost Apple Vision Pros to visitors looking for gifts”)\n* _Feedback:_ Demonstrate examples of preferred search results (models learn from these “few-shot”)\n* _Maintenance Jobs:_ LLMs periodically evaluate search results (e.g. for queries with zero results) and produce training data to fix gaps\n\n### **Our Ask**\n\n* If you want a better search with lower effort for your Ecommerce store, contact us via [email](mailto:govind@branch-ai.com) or [LinkedIn](https://www.linkedin.com/in/govindchandrasekhar/).\n* If you’d like a free evaluation of your site search, submit a request [on our website](https://www.branch-ai.com).\n\n### **About Us**\n\n* [Govind](https://www.linkedin.com/in/govindchandrasekhar/) was previously co-founder of [Semantics3](https://www.ycombinator.com/companies/semantics3) (YC W13), an Ecommerce catalog AI company, from 2011 to 2020.\n* Govind & [Praveen](https://www.linkedin.com/in/praveens07/) (founding engineer) built embeddings, rankers, and transformer-based sequence models at Twitter that directly drove 1MM+ DAUs.\n* [Ishan](https://www.linkedin.com/in/ishanagrawal/) was CTO at Funding Societies, the largest digital financing Fintech in Southeast Asia, where he built and scaled the technology and business from Seed to Series D.\n\n### **Our Vision**\n\nTo serve as an Ecommerce AI platform for brands and retailers. We already see that our models do better than mainstream alternatives at out-of-domain tasks like recommendations, assortment curation, insight extraction (from query text), marketing content generation (from query text), in-session personalization, and event-based ranking.",
        "url": "https://www.ycombinator.com/launches/KU0-branch-ai-state-of-the-art-ecommerce-search-instantly",
        "votes": 27,
        "created_at": "2024-02-26T15:56:38.525Z"
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    "name": "Twenty",
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    "website": "https://twenty.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Building a modern alternative to Salesforce: https://github.com/twentyhq/twenty",
    "one_liner": "Open Source CRM",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690850787,
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      "Open Source",
      "Sales",
      "CRM"
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    "regions": [
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      "Europe",
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      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/twenty",
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    "year_founded": 2023,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/twenty/",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
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        "full_name": "Félix Malfait",
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        "user_id": 1368642,
        "full_name": "Charles Bochet",
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        "full_name": "Thomas des Francs",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tdesfrancs/",
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        "title": "Junior Product Designer - Intership Paris",
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        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
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        "role_type": "Product design",
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        "equity_range": "",
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        "visa": "US citizenship/visa not required",
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        "url": "https://www.ycombinator.com/companies/twenty/jobs/jQaeiD0-product-designer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR / Remote",
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        "role_type": "Product design",
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        "experience": "3+ years",
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        "title": "Twenty is building an open source alternative to Salesforce | TechCrunch",
        "url": "https://techcrunch.com/2024/11/18/twenty-is-building-an-open-source-alternative-to-salesforce/",
        "date": "Nov 18, 2024"
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    "id": 28778,
    "name": "Xeol",
    "slug": "xeol",
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    "website": "https://www.xeol.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Pronounced Zee-O-L. \r\n\r\nEnd-of-life (EOL) and outdated software are a black box of vulnerabilities with very limited remediation paths. These 2 factors combine to make managing them a necessary proactive practice. Xeol enables enterprises and Fortune 500s to create a proactive EOL management program that directly contributes to better vulnerability management and lower cyber insurance. ",
    "one_liner": "Close your outdated dependency attack vector",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1689618282,
    "tags": [
      "Security",
      "Cybersecurity",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/xeol",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/xeol.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/xeol",
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        "full_name": "ShiHan Wan",
        "title": "Founder",
        "founder_bio": "CEO @ Xeol. Backend Engineer.\n\nPreviously helped build 2 startups from early to 🦄, now doing that for Xeol.\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shihanwan",
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    "jobs": [],
    "news": [
      {
        "title": "🎉 Announcing our $3.2M Seed Round!",
        "url": "https://www.xeol.io/post/announcing-our-3-2m-seed-round",
        "date": "Dec 12, 2023"
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      {
        "id": 80578,
        "title": "bumpgen - keep your code up-to-date with AI",
        "tagline": "Open source tool to generate code fixes for breaking changes",
        "body": "![uploaded image](/media/?type=post&id=80578&key=user_uploads/89898/e210f386-2345-4c2e-ba0a-6133d756141a)\n\n[**bumpgen**](https://github.com/xeol-io/bumpgen) generates fixes for breaking changes in version upgrades with AI\n\n* 🧑🏼‍💻 `bumpgen <package> <new-version>` to get fixes to your version bump breaking changes\n* 🔑 Bring your own **OpenAI API key**\n* 🌐 Supports **Typescript** codebases\n\n### Why build bumpgen?\n\nKeeping your dependencies updated is a good security and engineering practice (just not too up-to-date, thanks xz 🙏🏼). But they can be a pain to actual perform because:\n\n* **Major version bumps** have breaking changes and no one wants to fix them.\n* **25% minor version bumps** have breaking changes as well (semver isn’t perfect)\n* There can be a lot of version bumps from small packages to large frameworks\n\n### How Does bumpgen work?\n\n![uploaded image](/media/?type=post&id=80578&key=user_uploads/1279127/f06347b9-da03-4f95-aa1b-8f850576b262)\n\n**bumpgen** is pretty straight forward:\n\n* **BUMP** your dependency version then **GEN**erate the fixes for the breaking changes\n* Quick to get started with `npm install -g bumpgen`\n* Works on top of your Dependabot or Renovate to take care of those gnarly breaking changes\n\nIf you are curious how bumpgen identifies, fixes, then propagates the breaking change fix, we added bumpgen’s architecture and design decisions [**here**](https://github.com/xeol-io/bumpgen) 👈\n\n### How to start?\n\n* 🧑🏼‍💻 [**Try it out**](https://github.com/xeol-io/bumpgen), it’s 100% open source\n* ⭐ [**Support**](https://github.com/xeol-io/bumpgen) the project with a star\n* 📩 [**Get updated**](https://www.xeol.io/beta) on the GitHub app release",
        "url": "https://www.ycombinator.com/launches/Kxe-bumpgen-keep-your-code-up-to-date-with-ai",
        "votes": 43,
        "created_at": "2024-05-02T15:07:15.215Z"
      },
      {
        "id": 73333,
        "title": "🌌 Xeol - Modern platform for software supply chain security",
        "tagline": "Cut through the noise, identify and remediate risks, then enforce security policies",
        "body": "![uploaded image](/media/?type=post&id=73333&key=user_uploads/1279127/210f8a5b-d0c2-4f78-a504-dea9eb6669ca)\n\n### TLDR\n\n> Fortune 500 companies use Xeol to connect all their software dependencies into a contextual graph to ask questions like “am I affected by vulnerability X?” and enforce policies like “ensure all my docker images were signed by me?”\n\n![uploaded image](/media/?type=post&id=73333&key=user_uploads/1279127/040b5865-0ba9-42f6-a893-bbf3f0eb3222)\n\nWe first met 6 years ago as early engineers at **Ada** leading backend, cloud infrastructure, and security. Right before founding Xeol:\n\n* **Benji** was a Sr DevOps Engineer at **Datadog** leading its service catalog project with a near decade career in DevOps\n* **ShiHan** was the Director of Engineering helping build 2 startups from early stage to 🦄\n\nWe have been in the startup world for many years and are now on our own journey to help AppSec engineers quickly identify, remediate, and enforce security risks.\n\n### Problem. A New Attack Vector\n\nAsk anyone on the street to plug in a random USB drive and they will scoff. They know it’s unsafe! But developers do this every day when they use open-source packages as part of their software supply chain. The typical npm package has **86 dependencies** and with supply chain attacks up **600%** over the past year alone, this attack vector is widening.\n\nWhat’s not working?\n\n* **Too much noise:** tools that show all possible CVEs without contextual runtime information make prioritization near impossible leading to alert fatigue\n* **Attacks are more common:** generative AI enables malicious actors to easily launch attacks\n* **Huge attack surface:** many actors involved including OSS maintainers and their code, CI/CD systems, container orchestrators, and in-house developers\n\n### Solution. Complete Ontological Visibility\n\n![uploaded image](/media/?type=post&id=73333&key=user_uploads/1279127/a7017029-25ff-45a2-b114-6386d949057d)\n\nXeol is an **agentless** solution that scans your software artifacts at **build** and **runtime** then creates a **contextual graph** of your software supply chain. This contextual graph allows AppSec engineers to:\n\n**answer** questions like\n\n* Where am I using package X?\n* Which software are end-of-life?\n* Which packages are missing SLSA attestations?\n* Which software artifacts are produced from repo X?\n\n**enforce** policies like\n\n* Ensure all Docker images were built by my org from our CI pipeline\n* Prevent software X, which is end-of-life, from being packaged in our Docker images\n* Ensure sure all packages meet a minimum [OSSF](https://openssf.org/) score\n* Prevent any dependencies using a GPL license\n\n### Our Ask\n\n**See** Xeol’s graph capabilities in action [here](https://dashboard.xeol.io/demo)\n\n**Try** our open-source CLI [tool](https://github.com/xeol-io/xeol) to scan for end-of-life software\n\n**Follow** us on [LinkedIn](https://www.linkedin.com/company/xeol), [GitHub](https://github.com/xeol-io), or [Twitter](https://twitter.com/xeol_io) to get the latest updates",
        "url": "https://www.ycombinator.com/launches/J4n-xeol-modern-platform-for-software-supply-chain-security",
        "votes": 45,
        "created_at": "2023-07-24T02:01:24.497Z"
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    "id": 28779,
    "name": "withHuman",
    "slug": "withhuman",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39484d89d4533e876c43bf392647fed770ecf14d.png",
    "website": "https://withhuman.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "withHuman is an open source approval layer for AI Agents.\r\n\r\nWhen you want agents to take consequential actions like refund a customer, that's when withHuman is useful.\r\n\r\nIt is a centralized point where you can encode rules like \"refunds < $10 can be done automatically, anything more than that, send it to the on-call from customer support\". You write your rules once and connect all of your agents, no changes needed, its transparent to the agent.",
    "one_liner": "The Approval Layer for AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689872648,
    "tags": [
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/withhuman",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/withhuman.json",
    "year_founded": 2026,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/135307327",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "user_id": 1239892,
        "full_name": "Chris Battarbee",
        "title": "Founder",
        "founder_bio": "I'm one of the founders of Metoro - We're building an AI SRE for teams running in Kubernetes. You can go from nothing to full observability with auomatically detected bugs in < 5 minutes.\n\nBefore Metoro, I worked at Palantir as a Software Engineer where I built out Foundry's compute platform.\n",
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      {
        "id": 73574,
        "title": "Metoro: Debug production systems faster with AI",
        "tagline": "Metoro surfaces relevant metrics and logs, performs root cause analysis and suggests remediations",
        "body": "**tl;dr:** Metoro is an AI agent which helps you debug production systems. Ask Metoro for help and it will surface relevant metrics and logs, perform root cause analysis and suggest remediations. It plugs into your existing observability stack (like DataDog, Grafana, Elastic, etc.) and debugs your system with you.\n\nHi everyone! We’re Chris and Tom, the team behind Metoro. We’re software engineers who have worked on complex distributed systems at Palantir and Jump Trading and are building the debugging tool we wish we had.\n\n## The Problem: Debugging production systems is hard\n\nProduction systems are complex. It’s difficult to identify the metrics and logs that are relevant to the bug you’re hunting. This problem gets worse if you didn't write the code in the first place, or are unfamiliar with the system.\n\n## The Solution: An interactive debugging agent that investigates with you\n\n[Metoro](https://metoro.io/) acts like an experienced engineer. It understands your system and debugs your services one by one, updating its hypothesis as it discovers new information.\n\nWhen it’s done, the investigation results are presented to you in an interactive dashboard for you to explore. This includes a root cause hypothesis, potential remediations and relevant logs and metrics for each service it looked at.\n\nMetoro reads data from your existing observability stack. No application or infra changes needed.\n\n### Ask: How you can help\n\n* We're signing up teams from startups/scale-ups. If you'd like to try it or know people who would, please shoot us a mail at [founders@metoro.io](mailto:founders@metoro.io) or book a demo call <https://calendly.com/chris-battarbee/15-minute>\n* Check out our [website](https://metoro.io). We’d love your feedback!\n* **Upvote and share this post!**",
        "url": "https://www.ycombinator.com/launches/J8g-metoro-debug-production-systems-faster-with-ai",
        "votes": 58,
        "created_at": "2023-07-30T09:08:46.501Z"
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    "id": 28784,
    "name": "Elyos AI",
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    "all_locations": "London, England, United Kingdom",
    "long_description": "Elyos AI is a fully autonomous AI Agent, built specifically for trades and field services businesses.",
    "one_liner": "AI Customer Service Agents for trades and field services",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1688401921,
    "tags": [
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        "full_name": "Adrian Johnston",
        "title": "Founder",
        "founder_bio": "Second-time founder. My first business (Una Brands) got to $70m ARR and raised $100m in funding.  Bachelors and Masters in Mathematics from Oxford and Masters in Public Administration (MPA) from Harvard specialising in AI policy. ",
        "is_active": true,
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        "title": "Founder",
        "founder_bio": "Previously Head of Operations at OVO Energy, the largest renewable energy company ($2b revenue) in the UK.  Prior to that worked for four years at Rolls-Royce in the Head Office as an operations consultant.\n\nMBA from INSEAD",
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        "user_id": 294390,
        "full_name": "Panos Stravopodis",
        "title": "Founder/CTO",
        "founder_bio": "Founder and CTO at Elyos. Software engineer by training with over 15 years of experience leading engineering teams across FinTech, MarTech, and Climate Tech. My prior roles include VP of Engineering at Bulb/Zoa, where I led a 150+ person engineering team delivering Smart Energy products across the UK. I've also held senior positions at Funding Circle, Bynder, and other high-growth companies.",
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        "linkedin_url": "https://linkedin.com/in/pstrav",
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        "id": 81350,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/elyos-ai/jobs/hzgEESF-founding-software-engineer",
        "location": "London, England, GB",
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        "date": "Feb 21, 2026"
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        "id": 93408,
        "title": "Elyos AI 💥 AI Customer Service Reps, built for trades and field services 🛠️",
        "tagline": "Elyos AI is the first fully autonomous AI Customer Service Reps for trades and field services.",
        "body": "**Hey, we are Elyos AI. 👋**\n\n[**https://elyos.ai/**](https://elyos.ai/)\n\nWe’re building the first, fully autonomous AI Customer Service Reps, built specifically for trades and field services.\n\nWe are already working with leading trades and field services businesses across the world, taking thousands of calls daily with our fully autonomous AI Agents.\n\n**The Problem**\n\nOur founders have been working in the field services space for nearly a decade.  These last few years building Elyos AI have solidified the realisation: **the field services industry is still operating on archaic tech.**\n\nIn field services like installations, gas, plumbing and electrical, the business should be judged on how well they deliver the actual service, not how quickly they can answer the phone.\n\nUnfortunately, these businesses are running inflated offices to make up for the poor systems they have to deal with: \n\n* Booking is harder than it has to be\n* Leads are left on ‘seen’ and quotes go cold\n* Jobs are scheduled in the wrong place, and \n* Engineers are dispatched for simple to solve over the phone problems\n\nElyos AI is solving this.\n\n**The Solution**\n\nElyos AI is a fully autonomous AI Agent, built specifically for trades and field services businesses. \n\nThe AI Agents we offer:\n\n1. Cover your phone 24/7\n2. Schedule jobs, optimised for engineer location, skillset and customer preference\n3. Manage payments\n4. Book leads in seconds and chase quotes to keep your pipeline warm\n5. Run your on-call process, dispatching engineers and informing the team over phone and WhatsApp\n6. Confirm appointments so you never send an engineer to an empty job\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/67335b11-c4cf-4bef-990f-b551666d54ea)\n\n**About Us**\n\nOur Founding Team has worked in Field Services for the best part of a decade.  \n\nPip and Panos used to work at OVO and Bulb Energy, two of the largest field services businesses in the UK. Pip was running operations of &gt;1000 engineers and Panos was building the operating system for those engineers.  Adrian, a second-time founder, has spent years optimising call centres with BCG.\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/8834ef97-6502-45fe-9bb6-1c9be4409349)\n\n**The Ask**\n\nIf you know field service business owners in HVAC, plumbing, electrical, or similar trades, please intro us (use: [pip@elyos.ai](mailto:pip@elyos.ai))\n\n[**https://elyos.ai/**](https://elyos.ai/)",
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        "full_name": "Reece Griffiths",
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        "full_name": "Mikko Peiponen",
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        "full_name": "Leonard Platzer",
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        "founder_bio": "Co-founder of Deasy Labs: The Metadata Engine for search usecases. \n\nPrior experience: QuantumBlack: Software Engineer, Machine Learning at AI for Data Quality product; Previous Engineer at Amazon, Mercedes-Benz and ChatBot Startup (E-Bot 7); Bachelor from National University of Singapore and Graduate from UWC Mostar",
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        "url": "https://siliconangle.com/2023/10/12/lakera-deasie-raise-funding-make-large-language-models-reliable/",
        "date": "Oct 12, 2023"
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        "date": "Oct 12, 2023"
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        "url": "https://techcrunch.com/2023/10/12/deasie-wants-to-rank-and-filter-data-to-make-generative-ai-more-reliable/",
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        "title": "Deasie - Data governance for language model applications",
        "tagline": "Is your enterprise data ready for language models?",
        "body": "**tl;dr: Deasie ensures that only relevant, high-quality, and safe data is fed into language models.**\n\nHi! We’re Reece, Leo, and Mikko and we’re excited to launch [Deasie](https://www.deasie.com).\n\n⚠️ **Problem**\n\nFor the first time, companies are turning towards their masses of unstructured data (e.g., documents, reports, emails) for a range of Generative AI use cases. Today, most companies are unable to answer the critical questions needed to ensure language models are trained and deployed reliably: Does this data contain sensitive information? Is this the most relevant data for this problem? Are there inconsistencies in the data that could skew my results?\n\n💡 **Solution**\n\nDeasie is a platform that provides automated checks for compliance (e.g., PII & proprietary data) and quality (e.g., irrelevant, untimely, or inconsistent information) of unstructured data, to reliably govern which data is used for which language model use case.\n\n👨‍👦‍👦 **The Team**\n\nFounders Leo, Mikko & Reece previously built McKinsey's award-winning product that used AI to enhance data quality in the enterprise, built ML applications across QuantumBlack, MIT, Amazon, and Mercedes, and have now set out to unlock the power of unstructured data for the upcoming wave on language model applications.\n\n![uploaded image](/media/?type=post&id=73808&key=user_uploads/1237667/ede65ff1-1431-4c6f-88aa-dd343d325f4d)\n\n👋 **Ask**\n\n**Lots of companies must be delving into the world of LLMs. If you’ve encountered challenges identifying and using high-quality input data (e.g., data that is relevant, timely, accurate, and consistent), then we’d love to hear from you! Please reach out to us at** [**leonard@deasie.com**](mailto:leonard@deasie.com)",
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        "full_name": "Sriharsha Guduguntla",
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        "url": "https://www.entrepreneur.com/en-in/news-and-trends/hyperbound-raises-usd-15-mn-to-expand-ai-sales-training/497218",
        "date": "Sep 17, 2025"
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        "url": "https://yourstory.com/2025/09/funding-yc-backed-hyperbound-15m-peak-xv",
        "date": "Sep 16, 2025"
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        "url": "https://finance.yahoo.com/news/hyperbound-raises-15-million-series-191000599.html",
        "date": "Sep 16, 2025"
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        "date": "Sep 16, 2025"
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        "url": "https://www.forbes.com/sites/dereknewton/2025/09/15/sales-upskilling-provider-hyerbound-raises-15-million-series-a/",
        "date": "Sep 15, 2025"
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        "id": 77356,
        "title": "🚀 Hyperbound: Sales Call Roleplay with Realistic AI buyers",
        "tagline": "Build your sales rep a sparring partner in under 20 minutes",
        "body": "### [Live Demo Link](https://app.hyperbound.ai/buyers?invite=aB4eCpXzR9)\n\n**TL;DR** Hyperbound is a simulated roleplay platform that turns your ICP descriptions into interactive AI agents in less than 20 minutes. Hyperbound ramps your reps faster and keeps them warmed up, increasing conversion rates on cold and discovery calls.\n\nTraditionally, it takes an average sales rep \\~400 cold call conversations to ramp up and consistently deliver the message in difficult situations. This organic process usually takes between 3 to 9 months. However, with Hyperbound, your reps can achieve that same level of proficiency in less than a week!\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/780bdcd3-23a7-4344-9482-de3c29ab1272)\n\n### **Long ramp and low conversion for your sales reps**\n\nEven with a parallel dialer, the best reps can only manage about 20 connections per day, resulting in approximately 3-5 conversations.\n\nIt takes an average cold-calling sales representative around 400 conversations to start meeting their quota, which traditionally could take anywhere between 3 to 9 months.\n\nHowever, reps who engage in daily roleplays during training, and to warmup before their calls have shown to meet their quotas up to 3x faster, and have a higher conversion rate.\n\n### **Your reps are forced to practice on your prospects**\n\nMastering cold and discovery calls is a challenging task that requires regular practice and reinforcement.\n\nBut here's the catch with roleplay. It's just awkward, eats up your managers' time, and puts a cap on how many reps each manager can handle.\n\nMost organizations lack the practice they need, forcing their representatives to practice on the few prospects they manage to connect with each day.\n\n### **Solution: The Hyperbound Platform**\n\nHyperbound is a simulated roleplay platform that can transform your Ideal Customer Profile (ICP) descriptions into interactive AI agents in less than 20 minutes.\n\nOur simulations allow your representatives to ramp up quickly and stay prepared, increasing conversion rates on cold and discovery calls.\n\nWith Hyperbound, your representatives can reach the 400 conversations they need ramp up in under a week.\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/71c68268-3c8e-4486-9311-799a2a94d815)\n\n### **Features**\n\n* Create bots in less than 20 minutes to give your reps access to the wide range of personas you sell to. These bots accurately reflect the personalities, objections, opinions, and pain points your reps encounter.\n* Custom scorecards analyze performance on each segment of the call. Their consistency helps you get a unbiased picture of how each reps performance changes over time.\n* Your Manager Dashboard and Rep Leaderboards let you quickly identify A-players and those who need extra help.\n* Create Assignments to set goals for onboarding reps or for those warming up at the start of the day.\n\n### **Our Team**\n\nOur team is built of Sales Coaches, AI engineers, and engineers from Salesforce’s Einstein. Our product has only been possible for a few months now, and we’re so excited to be on the cutting edge of this simulation tech.\n\n### **Your team could be live on Hyperbound tomorrow**\n\nGet access to start building your own agents\n\n* Try Our Live Demo → <https://app.hyperbound.ai/buyers?invite=aB4eCpXzR9>\n* Interested how this could work for your org? Let’s chat → [founders@hyperbound.ai](mailto:founders@hyperbound.ai)",
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        "id": 73368,
        "title": "🚀 Hyperbound: Hyper-personalize your sales emails at scale",
        "tagline": "Research, generate, and launch hundreds of personalized email campaigns with one click.",
        "body": "TL;DR **Say goodbye to generic templates—hyper-personalize your sales emails at scale with Hyperbound. Instantly research your prospects and link your company’s value prop to their specific needs.**\n\nWe research prospects from 40+ web sources, including LinkedIn, Google, TechCrunch, Gartner, Crunchbase, etc., and organize domain-specific data from tools like 6sense, ZoomInfo, Clearbit, and your chosen CRM. Our AI creates individual personas for each prospect and customizes a personalized sales email campaign in your voice to address their pain points and preferred communication style. Strict guardrails ensure reliably high-quality output, ready to send with your sales enablement platforms (Outreach, Salesloft, Apollo, HubSpot, etc) without the need for additional review.\n\n### 🚀 Our Team:\n\nHello World! We’re Atul and Sriharsha, the team behind Hyperbound! We’ve been close friends since high school. We have worked on everything from the ML behind Meta’s Ad Personalization to Salesforce’s Einstein Chatbots. We’re putting all our Salestech and NLP research experience into building the next generation of content personalization!\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/ab287a55-7651-44d2-81a9-93ea9fb14d14)\n\n### 🧨 The Problem: Personalization isn’t scalable\n\n* **Sales emails, especially for B2B sales, must be personalized** to stand out in a crowded inbox. In B2B sales, time spent at the outbound stage can have a massive ROI. More high-quality outbound emails → more chance of contacting the lead that will convert.\n* **Personalized sales emails have at least **[**double**](https://woodpecker.co/blog/cold-email-statistics/#double-your-email-reply-rate-with-advanced-personalization)** the response rate** as basic templated emails, but researching your prospects and drafting exceptional personalized sales emails takes time.\n\n### 💡Our Solution: Reliably High-quality Automatic Personalization\n\nBook a demo at: [hyperbound.ai](http://hyperbound.ai)\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/32f0bfd5-7f8e-45d1-a0a5-907d38252e83)\n\n* Research, generate, and launch hundreds of personalized email campaigns with one click\n* Integrate with your sales enablement tools, industry-specific data enrichment, and CRM of choice (ex: Outreach, ZoomInfo, Salesforce)\n* Maintain your voice — your emails sound like you!\n* Automatically identify personas and adjust messaging experimentally\n\n  ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/0406c269-1d99-49ad-ab51-e781c3c7fd04)\n\n  * Connect your solution with the specific pain points of each prospect for optimal engagement\n  * Subject lines that are tuned to the psychology of each prospect\n  * Data-driven modeling adjusts email and subject wording for each persona\n* Improve your custom AI engine with natural language feedback\n\n  ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/84797afe-ef58-47cb-93df-dd22716c544f)\n\n* Enjoy tough guardrails — brand-safe messaging without hallucinations\n\n### 👋 Our Ask:\n\n* Reach out today to get access to our latest email personalization algorithm! Let us know if you’re interested in a pilot. Bonus points for feedback!\n* Have an outbound email campaign? Know anyone who does? Ask them to book a demo at [hyperbound.ai](http://hyperbound.ai) or drop us a note at [founders@hyperbound.ai](mailto:founders@hyperbound.ai)",
        "url": "https://www.ycombinator.com/launches/J5M-hyperbound-hyper-personalize-your-sales-emails-at-scale",
        "votes": 74,
        "created_at": "2023-07-24T19:12:59.775Z"
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    "one_liner": "Web, Desktop, and Mobile apps with one codebase in Rust",
    "team_size": 4,
    "industry": "B2B",
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        "founder_bio": "Open source enthusiast with a background in hard engineering and physics. \n\n",
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        "title": "Dioxus Labs - Web, Desktop, and Mobile apps with one codebase",
        "tagline": "We make it easy for developers to build apps that run anywhere",
        "body": "**tldr**; [Dioxus Labs](https://dioxuslabs.com/) makes it easy for developers to write an app once and run it on nearly any platform. Our open-source Rust library has over 10,000 stars on GitHub and is used by Airbus, the European Space Agency, and Huawei.\n\n—\n\nHi everyone, I’m Jonathan Kelley, the solo founder behind Dioxus Labs. A year ago, Dioxus was just a college side project. Now, it’s my full-time job, used by some of the world’s top companies. Before Dioxus, I worked at Cloudflare, interned at NASA, and researched plasma physics.\n\n![uploaded image](/media/?type=post&id=73738&key=user_uploads/749074/df721fdb-e2c2-4cf3-b002-dc71be942743)\n\n### **🥊 Building apps can be really hard**\n\n---\n\nBuilding apps can be challenging. App developers must navigate a complicated maze of tooling, libraries, and programming languages. Building an app that works on iOS, Android, Mac, Linux, and Windows is out of reach for many developers.\n\nSmall teams especially struggle with shipping cross-platform apps:\n\n* Few developers know Mobile, Desktop, _and_ Web development\n* There are hundreds of different tools to learn\n* Current solutions are missing major features\n* It’s really easy to build slow apps\n\nNone of the leading options like React Native, Flutter, Electron, or native make it easy for a small team to ship cross-platform apps quickly.\n\n### **✨ How do we make it easy?**\n\nWith Dioxus, developers can write their app once and then ship it to users on the web, desktop, and mobile. Instead of learning dozens of different technologies like backend, frontend, and mobile, app developers only need to learn Dioxus to build and ship their app.\n\nDevelopers build their apps in Rust with a React-like syntax and style their apps with HTML and CSS, making the onboarding from web development simple.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=73738&key=user_uploads/749074/b60dfc39-1d47-4028-99c5-86a906507f3a)\n\nThe project is entirely open source and written in Rust: developers’ most loved programming language.\n\n![uploaded image](/media/?type=post&id=73738&key=user_uploads/749074/162ae1d4-16a7-47cc-89cd-b2166f43f415)\n\nIn the future, Dioxus Labs will provide a paid deployment platform that helps developers deploy and scale their Dioxus apps to their users.\n\n### **🚀 Is it working?**\n\n---\n\nThe past year has been great - the library has grown to almost 10k GitHub stars, 60k downloads, and companies like Huawei shipping production apps with Dioxus.\n\n![star history](https://i.imgur.com/Idni1n9.png)\n\nAirbus and the European Space Agency are building a [collision avoidance system](http://skytrace.space/):\n\n![](https://bookface.ycombinator.com/media/?type=post&id=73738&key=user_uploads/749074/e7130cf8-8e8a-400f-9c30-ffb7e84047d9)\n\n[Satellite.im](http://satellite.im/) is building a [peer-to-peer Discord competitor](https://uplink.satellite.im/):\n\n![uploaded image](/media/?type=post&id=73738&key=user_uploads/749074/2d40c8b2-63e3-4f50-8da4-54589f4bd701)\n\nA community member is building a [beautiful Mastadon client](https://terhech.de/ebou/):\n\n![](https://bookface.ycombinator.com/media/?type=post&id=73738&key=user_uploads/749074/74570fa3-f926-449d-865b-76eb6ebf46da)\n\n### **🤝 How can you help?**\n\n---\n\nWe’re hard at work building a deploy platform for Dioxus. In the meantime, we’d love your support:\n\n* [Star us on GitHub](http://github.com/dioxusLabs/dioxus) [⭐](https://emojipedia.org/star/)\n* Try out Dioxus for your next idea or internal tool\n* Recommend a great Rust engineer who might be interested in working at Dioxus Labs\n\nWe’re around in our community [Discord](https://discord.gg/XgGxMSkvUM), but feel free to reach out directly if this is at all interesting to you.",
        "url": "https://www.ycombinator.com/launches/JBK-dioxus-labs-web-desktop-and-mobile-apps-with-one-codebase",
        "votes": 29,
        "created_at": "2023-08-02T21:40:38.712Z"
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        "title": "Watto AI - Intelligent document creation for product managers",
        "tagline": "Help PMs in writing intelligent, context-aware documents",
        "body": "**TL;DR**\n\n**Watto AI** empowers **Product Managers** to save \\~10 hours/week on document creation. With Watto, you can seamlessly link user interviews, market research, data analysis, and more to automatically generate essential documents, such as PRDs, GTM strategies, etc. Reclaim your valuable time to focus on what’s most important: users and product.\n\n(Not a PM? No worries, please leave a comment below or email us at [rishabh@watto.ai](mailto:rishabh@watto.ai) – happy to discuss your specific use case)\n\n(Fun Fact: 85% of this document was written using Watto in 10 seconds)\n\n### 🤸🏻‍♀️ **The Team**\n\nIshita, Suryansh, and I (Rishabh) have known each other for a decade having worked on multiple projects and a startup back in India.\n\n(Fun Fact 2: Ishita and I are married, meanwhile, Suryansh’s fiancee is also someone named Ishita. We are gearing up for lots of confusion 😂)\n\n![uploaded image](/media/?type=post&id=73420&key=user_uploads/1157548/0fb12160-f41f-4f1d-8ba8-84ebf4e899d3)\n\n### **😵‍💫 The Problem**\n\nWhile working at our respective companies, we realized that our Product Manager counterparts spent a whopping 40% of their time writing different forms of content (slides, docs, emails, messages, etc.) for their disparate audiences. The process of gathering and organizing critical data from 100’s of sources is overwhelming, time-consuming, and error prone. It also takes away critical time from important things such as strategic product planning, market research, user interviews, etc.\n\n### **💡 The Solution**\n\n![uploaded image](/media/?type=post&id=73420&key=user_uploads/1157548/5e4a8e02-974f-40cf-abad-cf135e49193e)\n\nWatto AI is the game-changer you've been waiting for! We provide you with:\n\n* **20+ Integrations**: Seamlessly integrate data from different platforms like Google Suite, Notion, etc.\n* **AI Co-Pilot**: Inline co-pilot to help you rephrase, summarize, extract action items, and more\n* **Templates**: Existing templates for popular use cases like creating PRDs, GTM strategy, launch comms, etc.\n\nUsing Watto, PMs avoid writer’s block and save time from the drudgery of copy+pasting to focus on building a better user experience and product.\n\nHere’s a live representation of what PMs are already achieving with Watto:\n\n![uploaded image](/media/?type=post&id=73420&key=user_uploads/1157548/f1a628e0-11a3-47c6-bc28-e1ccfc6b99c2)\n\nTo get started, you have 5 free documents on us. Sign up now at [Watto AI](https://www.watto.ai/?utm_source=yc_launch&utm_medium=inline_text)\n\n### **🔮 Coming Soon**\n\n* Import critical domain knowledge from 20+ popular integrations like Confluence, Salesforce, Figma, and more on the way\n* Automated workflows like the creation of Jira tickets, launch emails, etc. from a PRD\n* Support to create presentations\n\n### **🙏 Our Asks**\n\n* Intro to Product Managers / CPO / VP of Product in your network\n* Feedback on the product\n\nThanks,\n\nIshita, Rishabh & Suryansh",
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        "tagline": "Linc is an AI-native process intelligence platform that captures workflows and unwritten business rules, identifies where AI can create value, and provides the context to redesign processes and build agents.",
        "body": "**TL;DR:** Linc turns workflow recordings, AI interviews, and existing operational knowledge into SOPs, process maps, and prioritized improvements. That knowledge becomes a shared memory your team can query and build on for future transformation projects. We're live in 20+ enterprises.\\\n\\\nLearn more at: <https://withlinc.com>\n\nLaunch Video: <https://www.youtube.com/watch?v=S6BSzghhNE4>\n\n**Why we built this**\n\nWe started by deploying AI agents for enterprises and spent more time scoping them than building them. Much of what we needed was tribal knowledge: people knew which rules applied to a particular customer or vendor, but those rules had never been written down.\n\nWe’d miss those details during scoping and only uncover them when implementation got stuck. We built Linc to capture that knowledge during discovery and keep building on it.\n\n**What Linc does**\n\n* **Scout** combines workflow recordings with AI interviews to capture steps, decisions, business rules, and handoffs.\n* Linc generates draft SOPs and process maps in minutes, including the exceptions captured during discovery.\n* **Architect** uses that evidence to rank opportunities for AI, automation, and process improvement.\n\nTeams can also bring in existing process documents, meeting transcripts, and system logs to add context to what employees record and explain.\n\nFor example, a recording might show someone routing a case to a manager. The interview can uncover the approval rule behind that decision. Linc brings both into the process documentation.\n\n**A shared memory for future projects**\n\nWe think of Linc as a system of record for process transformation: a shared memory of your organization’s workflows, business rules, and decisions.\n\nYour team can ask questions about a process, add new context, and create training materials, change management plans, or roadmaps for leadership. That context also helps ground AI agents in your company’s workflows and rules.\n\nAs your team captures more work and adds what it learns, the knowledge compounds. Each new project builds on what you’ve already captured.\n\nEmployees control their recordings. No system integrations are needed to start capturing. Linc is SOC 2 Type II audited and HIPAA compliant.\n\nWe’re working with Fortune 500 companies in utilities, pharma, and supply chain.\n\n**Our asks**\n\n1. **Enterprise introductions.** We’d appreciate intros to transformation, operational excellence, and operations leaders who are prioritizing AI initiatives or preparing a manual process for automation.\n2. **Agent-company partnerships.** We already work with organizations through white-label and direct partnerships. That can include integrating Linc with their solution or exporting outputs in formats their teams and platforms can use. If you’re scoping an active deal or customer project, especially with forward-deployed engineers working directly with customers, we’d love to show you how Linc can help with discovery and requirements.\n3. **PE introductions.** We’d appreciate intros to operating partners and value creation teams helping portfolio companies improve operational efficiency and accelerate AI transformation.\n\nReach out at [founders@linc-ai.com](mailto:founders@linc-ai.com).\n\nBook a demo:[ https://withlinc.com/book](https://withlinc.com/book)",
        "url": "https://www.ycombinator.com/launches/V7b-linc-the-discovery-layer-for-enterprise-ai",
        "votes": 6,
        "created_at": "2026-10-06T17:10:15.549Z"
      }
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  },
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    "id": 28792,
    "name": "AIVideo.com",
    "slug": "aivideo-com",
    "former_names": [
      "Infobot"
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    "website": "https://aivideo.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Superhuman video production as a service",
    "one_liner": "Superhuman video production as a service",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690071004,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
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      "Fully Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/aivideo-com",
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        "full_name": "Justin Harvey",
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        "founder_bio": "Building superhuman video production as a service - AIVideo.com ",
        "is_active": true,
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        "full_name": "Eduardo Faraday",
        "title": "Founder",
        "founder_bio": "Building AIVideo.com - Best AI for Video Production\n\nFormer founder at Workep. Scaled to +300k users. Prev. Product lead at Oasis, first AI Video Avatars. @BerkeleySkydeck | StanfordLB",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/edufaraday",
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        "user_id": 1279347,
        "full_name": "Orestis Lykouropoulos",
        "title": "Founder",
        "founder_bio": "Greek born, US based software engineer & composer.\nPassionate about language applications of ML (ex AWS AI, ex Alexa) and orchestral music.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/olykos",
        "x_url": "https://twitter.com/orestislykos",
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        "title": "Marketing Consultant (Meta Ads)",
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        "location": "Remote",
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        "salary_range": "$70K - $150K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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        "id": 108586,
        "title": "Head of Studio (AIVideo.com) ",
        "url": "https://www.ycombinator.com/companies/aivideo-com/jobs/J6OC5CG-head-of-studio-aivideo-com",
        "location": "Oakland, CA, US",
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        "salary_range": "$50K - $150K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "id": 28795,
    "name": "Magic Loops",
    "slug": "magic-loops",
    "former_names": [
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    "website": "https://magicloops.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Magic Loops are the fastest way to automate (almost) anything. By combining generative AI with code, we make it easy for anyone (yes, even non-programmers!) to setup repeatable tasks and automated workflows.\r\n  \r\n- Want to use ChatGPT to classify new product features from a Close call? \r\n \r\n- Want to receive a text when someone purchases >$1000 from your Shopify store?\r\n  \r\n- Want to replace your bespoke AWS Lambdas with self-repairing code? \r\n  \r\nBuild your first Magic Loop today! ",
    "one_liner": "Program computers with natural language",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1687488006,
    "tags": [
      "Generative AI",
      "Consumer",
      "Productivity",
      "Automation"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/magic-loops",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/magic-loops.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/magicloops",
    "x_url": "https://twitter.com/magicloopsdev",
    "fb_url": "https://www.facebook.com/magicloopsdev",
    "cb_url": "https://www.crunchbase.com/organization/magic-loops",
    "github_url": "https://github.com/magicloops",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/72461fd4d5fd3609cdf2cd37c5c97828c31ab516.png",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 633171,
        "full_name": "Adam Williams",
        "title": "Founder",
        "founder_bio": "Vibe coding for the next 200 million programmers. Previously: Grew Kojo from Seed to Series C, millions in ARR, 1 to 20+ engineers. Created Long Game from scratch (off) to millions in AUM. Built weather data infrastructure for all iPhone and Android phones in the US. Wrote digital logic (FPGA) for two satellite missions (NASA) and a Mars rover (ESA/NASA).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/%F0%9F%8F%97-adam-williams-%F0%9F%9A%A7-0995a949",
        "x_url": "https://twitter.com/jumploops",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e60231728d1b4aad47a32f72eb48a7475dfa99b.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Our favorite startups from YC’s Summer 2023 Demo Day, Day 2 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/",
        "date": "Sep 07, 2023"
      }
    ],
    "launches": [
      {
        "id": 74297,
        "title": "Magic Loops - Easy automation with AI",
        "tagline": "Combine LLMs and code to create simple automations",
        "body": "Howdy! We’re Adam and Mihai from Magic Loops — a new way to program computers using generative AI.\n\n### **tl;dr**\n\nMagic Loops combine LLMs and code to make simple automations easy to build and run.\n\n### **🙈 The Problem**\n\nYou want to automate a repetitive task or workflow.\\\nToday, you’re likely: \n\n1. Attempting to use a **no-code/low-code** tool but struggling with **limitations**\n2. Trying to use **ChatGPT** but struggling with **numbers and repeatability**\n3. **Calling an engineer** because you’re in over your head\n\n### 🪄 **Magic Loops** ➰\n\nSimply describe your task and we’ll generate a loop that uses a combination of code and LLM “blocks” to handle your workflow.\n\nWe give you full control over the loop, allowing you to change and modify it until it fits your needs.\n\nYou can run the loop at set times or by sending an email or webhook. Each loop can utilize code, LLMs, integrations, and APIs. The output of each loop is a text message, email, or webhook.\n\nOnce you've tested your loop, hit publish and we’ll host it for you.\n\n![uploaded image](/media/?type=post&id=74297&key=user_uploads/633171/f484bd0f-3da3-46d3-ac2c-8102d794d722)\n\n### **What are people using Magic Loops for?**\n\n**Investors: Watching YC launches**\n\n* [YC S23 Watcher](https://magicloops.dev/loop/5f524d25-f213-4943-af57-244ead73c15f) will text you the latest YC launches\n\n**Can of Soup: Generating novel pictures**\n\n* [Daily Image Prompt](https://magicloops.dev/loop/4246b18f-f258-44bf-aa2f-145a5eac2703) uses LLMs to generate three meme-worthy prompts\n\n**Bland AI: Demoing your API-based product**\n\n* [Bland AI - Demo](https://magicloops.dev/loop/d8c1ba48-fa78-4599-8d0d-1d5ba8a35368) triggers an AI phone call whenever an email is received\n\n### **Our Ask**\n\n[Try out Magic Loops](https://magicloops.dev) and let your imagination run wild!\n\nWe've seen a variety of uses from simple stock watchers all the way to complex customer onboarding flows.\n\nIf you find a loop you can't yet build, [reach out](mailto:help@magicloops.dev) and **we'll build it with you**.\n\nWe're looking forward to seeing what you create!",
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        "votes": 92,
        "created_at": "2023-08-22T14:08:18.348Z"
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    "id": 28796,
    "name": "Sweetspot",
    "slug": "sweetspot",
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    "website": "https://www.sweetspot.so/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Sweetspot is an all-in-one government sales platform, powered by AI. We help businesses find, manage, and respond to government opportunities.\r\n",
    "one_liner": "AI for Government Contracting.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689300101,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sweetspot",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sweetspot.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sweetspothq/",
    "x_url": "https://twitter.com/SweetspotHQ",
    "fb_url": "https://www.facebook.com/sweetspot.so",
    "cb_url": "https://www.crunchbase.com/organization/sweetspot-6229",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1284150,
        "full_name": "Sachin Subramanian",
        "title": "Founder",
        "founder_bio": "CEO @ Sweetspot. Go Suns ☄️",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sachinsubramanian/",
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      },
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        "user_id": 557251,
        "full_name": "Philip Kung",
        "title": "Founder",
        "founder_bio": "CTO @ Sweetspot. Previously founded Conduit Robotics, a startup that allowed truckers to \"remote control\" their vehicles.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/philipkung",
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      },
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        "full_name": "Andrew Arkhipov",
        "title": "Founder",
        "founder_bio": "",
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        "id": 70492,
        "title": "Backend/Data Engineer",
        "url": "https://www.ycombinator.com/companies/sweetspot/jobs/Sm1rZhR-backend-data-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$130K - $200K",
        "equity_range": "0.25% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "PostgreSQL",
          "Python",
          "Redis",
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          "Docker",
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        ]
      },
      {
        "id": 70493,
        "title": "Frontend/Full-stack Engineer",
        "url": "https://www.ycombinator.com/companies/sweetspot/jobs/6yUef6i-frontend-full-stack-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$130K - $200K",
        "equity_range": "0.25% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "React",
          "TypeScript",
          "Chatbots",
          "Design systems",
          "Next.js"
        ]
      }
    ],
    "news": [
      {
        "title": "AI startup Sweetspot raises $2.2 million | Semafor",
        "url": "https://www.semafor.com/article/08/07/2024/ai-startup-sweetspot-raises-22-million",
        "date": "Aug 07, 2024"
      },
      {
        "title": "An AI search engine for the U.S. government contract maze | Semafor",
        "url": "https://www.semafor.com/article/08/04/2023/an-ai-search-engine-for-the-us-government-contract-maze",
        "date": "Aug 04, 2023"
      }
    ],
    "launches": [
      {
        "id": 92424,
        "title": "📝 Sweetspot AI Form Fill",
        "tagline": "Autonomous form completion for GovCon teams",
        "body": "# **Sweetspot AI Form Fill — Autonomous form completion for GovCon teams**\n\nLeverage AI to finish RFIs, PPQs, security questionnaires, vendor packets, and teaming agreements, so your capture & proposal teams can focus on winning.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/387d941f-5586-48ac-93c4-72297f4ba53e)\n\n### **TL;DR**\n\nSweetspot’s AI Form Fill is the first and only autonomous form-fill agent built for government contracting teams. Think of it as Cursor for forms: it finds every field (even unlabeled ones!) across _any_ document, then fills them with your validated company data and works with you to fill in the remaining gaps.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/3bbc2cef-b307-4a0c-8e52-f871c64ace8a)\n\n### **The Problem**\n\nGovCon BD teams spend shocking amounts of time re-typing boilerplate data into forms that all look different but ask for the same information:\n\n* 15-page RFIs that hide critical fields in footers\n* PPQs and security questionnaires where one missed checkbox triggers re-work\n* Vendor onboarding packets and teaming agreements that clog pipelines just when deadlines tighten\n\nManual entry steals hours from color reviews, strategy sessions, and pricing. Worse, each agency’s format changes just enough that no template sticks, and existing PDF tools don’t understand compliance nuance.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/d0b6afd9-19d3-46cc-92b6-aac5b9cc04ed)\n\n### **Our solution**\n\n**Sweetspot Form Fill** replaces the copy-paste slog with an AI copilot purpose-built for the public sector:\n\n1. **Autonomous field detection**\\\n   Our Form Fill agents scan the entire form, including headers, tables, annexes, and odd footnotes, to surface every required field, labeled or not.\n2. **Live, accurate population**\\\n   We pull from your company data library and reflect all changes in realtime in the browser. No context switching or separate PDF tools needed.\n3. **Ask-once memory**\\\n   If a field is unclear, Form Fill prompts you, stores the answer, and re-uses it automatically on future submissions. This means zero hallucinations and a full audit trail.\n4. **Built-in signatures & edits**\\\n   Add e-signatures, tweak language, and manually add or adjust any field you need. One tab from first click to final PDF.\n5. **Rapid-fire templates**\\\n   For truly repeatable workflows such as recurring state and local government bids, save a template and cut completion time to seconds.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/f84d23f3-5679-4ee6-9f78-72d8a78e06bf)\n\n### **How It Works Under the Hood**\n\n* **Semantic parsing engine** reads form structure, not just keywords, so Section M or SF33 blocks are never missed. It even works on poorly structured PDFs that don’t use annotations or native fields.\n* **Domain-trained models** tuned on hundreds of thousands of GovCon documents ensure terminology accuracy (CAGE codes, NAICS, JCP, export controls, etc.).\n* **DoD-Compliant architecture** means all of your data, answers, and content are stored securely.\n\n### **Traction & Early Results**\n\n* **12–18 hours saved per team per week** during beta across mid-market federal and SLED contractors.\n* **3× faster package turnaround**, giving users extra days for color reviews, price sharpening, and all the other important tasks that go into winning their next contract.\n* **Zero compliance rejections** to date; all of our users have been extremely happy with the results and have adopted Sweetspot Form Fill directly into their every day business processes.\n\n### **Try it out**\n\nSweetspot already powers proposal teams at Oshkosh, Vannevar Labs, Strider, and other public-sector innovators.\n\nReady to watch forms complete themselves?\n\n* **Book a demo:** [calendly.com/sachin-sweetspot/30min](http://calendly.com/sachin-sweetspot/30min%EF%BF%BC%EF%BF%BC)",
        "url": "https://www.ycombinator.com/launches/O2i-sweetspot-ai-form-fill",
        "votes": 26,
        "created_at": "2025-07-24T18:57:40.068Z"
      },
      {
        "id": 82512,
        "title": "Sweetspot - Introducing State, Local, and Education contracts",
        "tagline": "Leverage AI to win state, local, and education contracts",
        "body": "### \n\n![uploaded image](/media/?type=post&id=82512&key=user_uploads/1284150/4183ece5-910d-4a17-a284-f916476a30e1)\n\n### **TL;DR**\n\n[Sweetspot](https://www.sweetspot.so/) has added **200,000+** state, local, and education (SLED) contracts that span **17,000+ agencies** across **47 states**.\n\n### **The Problem**\n\nCurrently, SLED contract opportunities are spread out across thousands of different city, state, municipality, and county websites. Although some tools have made progress in aggregating this data, the bid-matching process remains suboptimal. These tools often rely solely on the brief descriptions provided, rather than analyzing the actual files and documents uploaded by the government.\n\nThe problem is that these descriptions are frequently missing important details or are too vague about the contract's specific requirements. As a result, small businesses are forced to manually review each opportunity's documentation to determine if it's a good fit for them. After conducting hundreds of market research calls, we reached the conclusion that this process is too time-consuming and inefficient.\n\nHere’s an example of a contract from Maryland asking for a Java Engineer with little to no information in the description. Since it doesn’t even mention the word software once, it is nearly impossible to discover this opportunity easily:\n\n![uploaded image](/media/?type=post&id=82512&key=user_uploads/1284150/53e49f39-3da3-4c53-b01f-a79a2ee451b4)\n\n### **Our Solution**\n\n[Sweetspot](https://www.sweetspot.so/) has leveraged AI to track and aggregate opportunity data across hundreds of disparate SLED data sources, with our coverage growing daily.\n\nOur AI doesn’t simply match keywords. It performs deep semantic analysis on over 20 billion tokens from every opportunity’s associated files and documents.\n\nUsing this information, it then generates a detail-rich description based on these files, and highlights exactly where its relevant to your search query along with providing you the file matches.\n\nFor example, here’s the same Maryland contract that was previously shown. You can clearly see how our AI was able to enrich this search result and present it as a viable opportunity to go after:\n\n![uploaded image](/media/?type=post&id=82512&key=user_uploads/1284150/7d6ed5ca-1504-4b1c-8fab-688876a284e4)\n\nOnce you’ve found a SLED contract you’d like to pursue, you can then use existing Sweetspot tools to analyze the RFx, estimate your probability of winning, assign tasks to teammates, and draft a proposal response.\n\n### **Try Out Sweetspot**\n\nSweetspot is already used by public sector teams at startups like Flexport, Groq, Vannevar Labs, and Strider.\n\n* Sign up for a free account at: [console.sweetspotgov.com](http://console.sweetspotgov.com/)\n* Book a demo at: [https://calendly.com/sachin-sweetspot/30min](https://calendly.com/sachin-sweetspot/30min?month=2024-04)",
        "url": "https://www.ycombinator.com/launches/LSq-sweetspot-introducing-state-local-and-education-contracts",
        "votes": 18,
        "created_at": "2024-07-29T03:51:05.554Z"
      },
      {
        "id": 79974,
        "title": "Sweetspot - AI for government contracting",
        "tagline": "All-in-one government sales platform, powered by AI.",
        "body": "### **TL;DR**\n\n[Sweetspot](https://www.sweetspot.so/) is an end-to-end AI-powered solution that helps users find, manage, and respond to government opportunities.\n\n### **The Problem**\n\nNavigating the complex landscape of government contracting by relying on existing tools is difficult. Both public and private sector solutions have disorganized user interfaces and lag in adopting technological advancements, contributing to numerous inefficiencies.\n\nBeyond user experience issues, there's a significant gap in the holistic support these tools provide. Many focus exclusively on specific parts of the contracting journey — such as search functionalities, proposal writing, or business intelligence — without addressing the need for a comprehensive solution. This siloed approach forces businesses to stitch together a patchwork of tools to navigate the federal contracting space, inadvertently increasing complexity and costs.\n\n### **Our Solution**\n\nSweetspot is an all-in-one platform that streamlines the entire government contracting process. Our solution brings together discovery, management, compliance, and proposal drafting — eliminating the need for multiple disjointed government contracting softwares. To achieve this, we’ve released four new products.\n\n#### **1\\. AI-Powered Search Engine**\n\nSweetspot leverages AI-powered search to ensure that users can discover opportunities that align with their capabilities and interests, even if the exact keywords do not match. This approach significantly reduces the time and effort required to find suitable government opportunities.\n\n_Here’s an example of our search engine easily surfacing construction projects that are on the East Coast:_\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/ca6a4bac-ff02-42e5-b7a0-7fff5628a738)\n\n#### **2\\. Opportunity Chat**\n\nOpportunity Chat uses AI to interpret and answer questions directly from the content of solicitation documents. This allows users to gain insights into critical aspects of solicitations, such as evaluation criteria, pricing tables, and wage rates — facilitating faster and more informed bid/no-bid decisions.\n\n_Here’s an example of Sweetspot AI quickly summarizing a pricing table:_\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/d394399e-d383-4f64-8583-43efa49117bb)\n\n#### **3\\. Pursuit Management**\n\nPursuit Management facilitates seamless collaboration within teams working on contract proposals. The tool allows users to create and assign tasks, comment on progress, and ensures that no internal and external deadlines unexpectedly creep up.\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/04dc76f1-6f7c-498c-a1f2-b5bc80af158a)\n\n#### **4\\. Proposal Copilot**\n\nSweetspot's Proposal Copilot leverages AI to generate compliance matrices and draft competitive proposal responses by indexing user-uploaded information. This tool helps users stay compliant with requirements and reduces the time and effort traditionally required in proposal writing.\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/f19df88f-e13d-4b08-a029-fddfff341a53)\n\n### **Our Team**\n\nSweetspot is built by a team of highly technical cofounders who have worked at companies such as Coinbase, Amazon, Meta, Nuro, Akuna Capital, and Chicago Trading Company. In a space like government contracting that has stuck with the status quo for decades, we bring the tech-forwardness that’s needed to successfully upend the industry.\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/0da6cee3-680c-4c9a-b058-dd3393fcec31)\n\n### **Try Out Sweetspot**\n\n* Sign up for a free account at: [console.sweetspotgov.com](http://console.sweetspotgov.com)\n* Book a demo at: [https://calendly.com/sachin-sweetspot/30min](https://calendly.com/sachin-sweetspot/30min?month=2024-04)",
        "url": "https://www.ycombinator.com/launches/Knu-sweetspot-ai-for-government-contracting",
        "votes": 18,
        "created_at": "2024-04-06T04:49:38.202Z"
      },
      {
        "id": 73068,
        "title": "Sweetspot | AI-powered search engine for government contracts 🔍",
        "tagline": "Sweetspot connects your business to all available and relevant government contracts in just seconds.",
        "body": "### **📚 TL;DR**\n\n[**Sweetspot**](https://www.sweetspot.so) is an AI-powered search engine for businesses that bid on government contracts. Businesses can leverage Sweetspot to find relevant contracts in just seconds, instead of spending hours digging through [SAM.gov](http://SAM.gov).\n\n### **👬 The Team**\n\nHey everyone! We’re Sachin and Philip, the team building Sweetspot. Philip and I have known each other since freshman year of college. Since then, we’ve competed in a number of hackathons and even worked together at [Coinbase](https://www.coinbase.com/) prior to embarking on our startup journey! We came to work on this idea after we talked to our friend working at a real estate firm. His job was to find relevant federal real-estate contracts all day and he hated it due to the poor searching experience. Then, a lightbulb went off in our heads.\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/5821fa8f-b9d4-4029-a4a4-937c2f8538ad)\n\n### **😵‍💫 The Problem**\n\nFinding government contracts on [SAM.gov](http://SAM.gov) is a nightmare, especially for small businesses. The current system is cluttered, hard to navigate, and relies heavily on keyword search, which often leads to irrelevant results - discouraging small businesses looking for contract opportunities. The clunky UI adds another layer of complexity, creating an overall frustrating experience.\n\nImagine you’re part of a landscaping company just getting into contract bidding. Just look at how poor a simple search for “lawn care” contracts on [SAM.gov](http://SAM.gov) is:\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/bc3d52dd-a4d7-49a5-844b-f7fece3de702)\n\n### **💡 The Solution**\n\nSweetspot utilizes a combination of semantic and lexical search to streamline the process of searching for government contracts. Businesses can now find various relevant opportunities with just **one query**, eliminating the need for multiple keyword searches to do hours-long research.\n\nImagine you’re part of an upstart landscaping company (again). Look how many more relevant contracts you find in under a second for querying “lawn care”using Sweetspot:\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/6aba66a2-7216-490f-ae57-70097b14ec01)\n\n### **🔮 The Future**\n\n* Automating queries so you get alerts every time a new contract drops\n* Expanding our dataset to include state and local contracts\n* Adding filters for more granular results\n* Adding lists to better manage your contracts you want to bid on\n* Business Intelligence and Analytics for contracts\n* AI proposal writing to help you draft responses to RFPs\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/6114ea0d-5c67-4678-b531-c951ad7cb34b)\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/c975695a-382d-4890-828c-6fb3415694f4)\n\n### **🙏 Our Asks**\n\n* Drop us a follow on [**LinkedIn**](https://www.linkedin.com/company/sweetspothq/) & [**Twitter**](https://twitter.com/SweetspotHQ)\n* Introductions to anybody with experience bidding on government contracts.\n* If you’re in the government contracting space or know any friends who may be interested, check out our [**website**](https://www.sweetspot.so/) and book a demo [**here.**](https://calendly.com/sachin-sweetspot/30min)",
        "url": "https://www.ycombinator.com/launches/J0W-sweetspot-ai-powered-search-engine-for-government-contracts",
        "votes": 45,
        "created_at": "2023-07-14T05:14:49.996Z"
      }
    ]
  },
  {
    "id": 28804,
    "name": "Bland AI",
    "slug": "bland-ai",
    "former_names": [
      "Intelliga Health",
      "Intellig",
      "Intelliga",
      "Intelliga Voice"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ffd25772d0582e8800926759bd81a08cc8effb2.png",
    "website": "https://bland.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "The enterprise platform for AI phone calls",
    "team_size": 65,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1687738851,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bland-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/bland-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/96359660/",
    "x_url": "https://x.com/usebland",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ffd25772d0582e8800926759bd81a08cc8effb2.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1314105,
        "full_name": "Isaiah Granet",
        "title": "Founder",
        "founder_bio": "building things that talk back. \n\nno more waiting on hold, no more phone trees. \n\nthe future is bland.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/isaiah-n-granet",
        "x_url": "https://twitter.com/zaygranet",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5117c76167fa752c1755ae324a4653c493d32dd7.jpg"
      },
      {
        "user_id": 1312013,
        "full_name": "Sobhan Nejad",
        "title": "Founder",
        "founder_bio": "Co-founder of Bland AI. Building the enterprise platform for AI phone calling.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sobhan-nejad-796129133",
        "x_url": "https://twitter.com/sobhan_nejad",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/82c3055a61cb54b193318e4a9bc38172e61b5abf.jpg"
      }
    ],
    "jobs": [
      {
        "id": 68953,
        "title": "Support Engineer",
        "url": "https://www.ycombinator.com/companies/bland-ai/jobs/AInt422-support-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140K - $170K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 68954,
        "title": "AI / ML Engineer",
        "url": "https://www.ycombinator.com/companies/bland-ai/jobs/sKOsJDQ-ai-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$140K - $220K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 83033,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/bland-ai/jobs/gnjM27L-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Exclusive: Voice AI startup Bland raises $50 million after being rejected by 180 investors | Fortune",
        "url": "https://fortune.com/2026/06/16/voice-ai-bland-50-million-after-being-rejected-by-180-investors/",
        "date": "Jun 16, 2026"
      }
    ],
    "launches": [
      {
        "id": 83557,
        "title": "Bland AI: The enterprise platform for AI phone calls",
        "tagline": "Build, test, and scale AI phone agents, and integrate with our API.",
        "body": "### **TL;DR:**\n\n* 13\\.5 billion phone calls are made every single day. Hundreds of millions of those occur in call centers.\n* The call center economy is a >$30 billion industry that is growing >10% year over year.\n* Our customers use Bland to build AI phone agents that handle the bulk of their call volume. Whether these calls are for customer support, sales, or appointment setting, Bland makes these calls cheap and efficient.\n\n### **The Problem**\n\nMore than half of the population prefers talking on the phone with businesses instead of email and chat. The average cost per call for US-based companies is somewhere between $3.00 and $5.00. Enterprises need call centers– but they are impractical to run and difficult to affordably staff. \n\nCall center jobs have some of the highest turnover in the world. They are grueling, don’t pay well, and highly repetitive. This means:\n\n* High cost for training, onboarding, and recruiting\n* Agents that don’t have the context or education to handle moderately complex calls\n\n**These calls are the backbone of how enterprises interact with their customers. We’ve all been stuck on hold for hours, transferred through dozens of different organizations to get to the right supervisor, all to waste the bulk of a day fixing a simple problem.**  Customers hate this, get exasperated and angry, and the call center worker, two weeks into the job, has to deal with a rightfully frustrated customer. The business loses trust with the customer and has no real way to build a better process.\n\n### **Solution**\n\nUsing Bland, companies build AI phone agents that are hyper-educated, have strict guardrails, and integrate into every part of their tech stack. **By building a true end-to-end infrastructure, these agents have Enterprise-grade stability, sub-1 second latency, and the ability to infinitely scale. Companies build the agent, integrate it into their CRMs and databases, and expand the use case whenever they need to**.\n\n**To negate hallucinations** we’ve built out our own programming language called _Conversational Pathways_, which allows you to split prompts into unique nodes.\n\n**For best-in-class latency and security,** we built and hosted our own TTS, Inference, and Transcription models.\n\n**For observability,** we provide full transparency into what’s happening during every call, from real-time logs to post-call analysis.\n\nWe’re trusted by Sears, [Better.com](http://Better.com), and backed by investors like Scale Partners and Jeff Lawson to change the way enterprises interact with their customers forever.\n\n<https://youtu.be/kev5w-6WUyA>",
        "url": "https://www.ycombinator.com/launches/Ljh-bland-ai-the-enterprise-platform-for-ai-phone-calls",
        "votes": 25,
        "created_at": "2024-08-28T20:35:23.871Z"
      },
      {
        "id": 72612,
        "title": "Intelliga Health - Automating insurance workflows for medical practices",
        "tagline": "Helping patients get the treatments they need.",
        "body": "**TLDR**; At Intelliga Health, we use AI to streamline insurance workflows for medical practices. We integrate seamlessly with fax machines, digitize and organize inbound insurance communication, and write appeals back to insurance.\n\n### **Problem**\n\nManual workflows associated with running medical practices - like organizing faxes, scanning files, and dealing with insurance - distract doctors from the most important part of their days, caring for their patients.\n\nPrior Authorization, for example, costs an estimated 16 hours each week, while causing delays and sometimes denials to patients’ treatments.\n\n### **Solution**\n\nWe’re developing an AI-powered system to automate back-office operations for medical practices. Our first product, Appeal Suite, helps practices organize inbound faxes and win more prior authorization appeals. Try our public demo [here](https://appeals.intelligahealth.com/)!\n\n### **Product Snapshot**\n\nAfter receiving a fax from insurance, our system can:\n\nCategorize the fax by type, patient, and authorization case within an electronic inbox\n\n![uploaded image](/media/?type=post&id=72612&key=user_uploads/1312013/c11b5cae-8a02-4f20-b21a-5214b9d01701)\n\nGenerate a persuasive and evidence-based appeal letter to inbound denials\n\n![uploaded image](/media/?type=post&id=72612&key=user_uploads/1312013/7ad28ccd-c881-4df3-bc62-bc300e201c36)\n\n### **Why are we building it?**\n\nOne month ago my aunt passed away from pancreatic cancer. During her hospitalization insurance repeatedly denied treatment, preventing her from accessing chemotherapy because it wasn’t “medically necessary”.\n\nWe’re fighting every day to help other patients like my aunt get the life-saving treatments they need.\n\n### **Asks**\n\n* Share our [Appeal Portal](http://appeals.intelligahealth.com/) with the healthcare providers you know!\n* If you have experience selling to medical practices and/or hospitals, we’d love to meet with you.",
        "url": "https://www.ycombinator.com/launches/ItA-intelliga-health-automating-insurance-workflows-for-medical-practices",
        "votes": 21,
        "created_at": "2023-06-28T15:06:58.075Z"
      }
    ]
  },
  {
    "id": 28810,
    "name": "Zelos Cloud",
    "slug": "zelos-cloud",
    "former_names": [
      "Zelos"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/afc3d576d23341fe3b3be62748770b0756c79dcc.png",
    "website": "https://zeloscloud.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Zelos Cloud is the data platform for mission-critical systems that enables teams to observe, control, and test systems from prototype to production. The platform connects across entire ecosystems, capturing data from many protocols, enabling remote command execution, and facilitating team collaboration through shared workspaces and real-time annotations. By integrating data collection, processing, and visualization into one seamless pipeline, Zelos Cloud eliminates complexity and breaks down silos between engineering, operations, and quality teams.",
    "one_liner": "The Data Platform for Mission‑Critical Systems",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1688766669,
    "tags": [
      "Hard Tech",
      "Manufacturing",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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        "body": "Hey, we’re Neel and Niranjan from [Cedana](https://cedana.ai/?utm_source=cedana&utm_medium=yc&utm_campaign=launch).\n\n![uploaded image](/media/?type=post&id=73681&key=user_uploads/77597/b1097aa9-66f2-4253-8243-63e63d5c23e9)\n\n### **The Problem**\n\nLosing work because of infra problems is painful. Imagine you have a long-running compute job and the instance fails. Your 20-hour job finished but because your pipeline was misconfigured you have to restart it from scratch.  \n\nBurning cash is stressful.  Poor utilization results in your inference jobs costing more.  If you’re managing a cluster of 1,000s of GPUs, poor utilization leaves money on the table even while demand is skyrocketing.    \n\nCold start times impact your customer satisfaction and their reliance on your solution.  \n\nLimited GPU access makes it difficult for you to innovate, and finding GPUs can be a full-time job of constantly identifying, evaluating, and adapting different vendors.    \n\n### **Our Solution**\n\nCedana is real-time migration for compute.  We automatically schedule and move workloads across instances and vendors without interrupting progress or breaking anything.\n\nThere are several critical benefits:\n\n* Utilization is maximized to save costs and eliminate idle resources.  \n* Job-level SLAs dynamically allocate compute between inference and training, prioritizing costs, latency, and performance based on preferences.  \n* Avoid re-running jobs from scratch due to infra, pipeline, or memory failures. Jobs continue their progress in the event of infra failure or spot revocation.\n* Access planet-scale compute through vendor aggregation\n* Solve the cold start problem by enabling fast auto-suspend-resume \n* Spot management that migrates and provisions new instances automatically upon revocation or failure.\n\n  \n\nOpenAI, Meta, Microsoft, and Databricks employ some of these methods internally and we’re bringing them to everyone.\n\n### **How it works**\n\n[Cedana](https://cedana.ai/?utm_source=cedana&utm_medium=yc&utm_campaign=launch) is available as an [open-source package](https://github.com/cedana/cedana-cli) and as a [managed service](https://www.ycombinator.com/launches/JAP-cedana-real-time-save-move-and-resume-for-compute). \n\n* Cedana needs no code modification and works with Linux processes or containers\n* Current use cases and customers range from AI Training and Inference, High-Performance Compute, DevTools, ML Ops platforms, and Computational Biology.\n* It automatically provisions and manages infra with your existing credentials. Our managed service can leverage our vendor relationships if preferred.\n\nHere’s a 1m30s [demo video](https://www.youtube.com/watch?v=KC4STzSQ_DU)\n\n### **Our Team**\n\nOur team has built real-world robotics and large-scale computer vision systems across a number of places including 6 River Systems/Shopify and MIT.  We’ve led the development, commercialization, and scale of NLP for clinical workflows used in the delivery of patient care.   Our team’s publications span computer vision, computer graphics, robotics optimization, and spacecraft/aerospace controls, with patents in AI use cases for grid energy management, optimal battery control, and healthcare. \n\n### **We kindly ask**\n\n* Give Cedana a try! [Check out our Github Repo](https://github.com/cedana/cedana-cli)\n* Please support us with a Github star",
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        "body": "Hey everyone! [Roman](https://www.linkedin.com/in/roman-engeler-54416212b/) here, cofounder of Atla.\n\n# **TL;DR**\n\nAtla helps teams building AI agents find and fix recurring failures. Instead of just surfacing endless traces, Atla automatically identifies the patterns behind failures and suggests targeted fixes.\n\n**Ask:** Building agents? Try us at [atla-ai.com](http://atla-ai.com) to find your agent’s most critical issues and ship improvements in hours, not days. \n\n# https://youtu.be/LtvKBJKPxKE?feature=shared\n\n# **❌ The Problem**\n\nAgents are complex black boxes, chaining together plans, tool calls, and agent-to-agent interactions. For this reason:\n\n* Failures hide inside long traces and are difficult to spot at scale.\n* Current solutions that just display traces without identifying issues are not enough.\n\nWe’ve spoken to over 100 teams who experience similar pains of digging through thousands of traces without clear signal, and fixing one issue only to have another pop up. This slows down shipping and erodes trust in the system.\n\n# **🛠 Our Solution**\n\nAtla turns all that noise into actionable insights:\n\n1. **Error annotation**: We automatically flag errors at the step level to find the root cause of a failed run.\n2. **Pattern detection**: We cluster those errors across traces to surface the recurring, high-impact failures.\n3. **Actionable fixes**: For each failure mode, Atla generates targeted recommendations specific enough to implement as small pull requests.\n\nThe result: instead of chasing symptoms, you can focus on the 2–3 failures that actually move the needle.\n\n# 📈 **Impact so far**\n\n* A legal AI startup used in over 15 countries now spots prompt failures in days instead of weeks with Atla.\n* A fast-growing productivity AI startup doubled the number of improvements shipped with Atla.\n\n# **👷 Why Us**\n\nBefore starting Atla, I led product and engineering at two fast-growing startups and researched iterative self improvement of large language models at the Stanford Existential Risks Initiative.\n\nAt Atla, we’re a small, highly technical team of AI researchers and engineers obsessed with evaluation and reliability. We previously trained Selene, an LLM-as-a-Judge model downloaded 60k+ times.\n\n![uploaded image](/media/?type=post&id=93580&key=user_uploads/946667/61832c56-f4fa-4c93-a623-eb6c31f5b1f8)\n\n# 🙏 **Our Ask**\n\nIf you’re building agents, we’d love for you to **try Atla**: https://www.atla-ai.com/\n\nKnow teams building agents? Please **share this post** with them!\n\nThank you!",
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        "title": "Selene - The World’s Most Accurate LLM-as-a-Judge",
        "tagline": "Half of AI’s answers are brilliant, half aren’t. We trained a model to tell them apart.",
        "body": "### **TL;DR**\n\nMeet Selene, a state-of-the-art LLM Judge trained specifically to evaluate AI responses. Selene is the best model on the market for evals, beating all frontier models from leading labs across 11 commonly used benchmarks for evaluators. Today, we are releasing:\n\n* API/SDK - Integrate Selene into your AI workflow\n* Alignment Platform - Build custom evaluation metrics for your use case\n\n[Get started using Selene for free.](https://www.atla-ai.com/sign-up?utm_source=ycombinator&utm_medium=community&utm_campaign=SU_YC_launchyc_communitypost_sel1launch_)\n\n![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/e44a5253-3117-4849-9c36-3f55ea2345a3)\n\nWatch our demo [here](https://youtu.be/5A8-XqUoNBc).\n\n### **The Problem**\n\nGenerative AI is unpredictable. Even the best models occasionally hallucinate, contradict themselves, or produce unsafe outputs. Many teams rely on the same general-purpose LLMs to evaluate AI outputs, but these models weren’t trained to be judges. That leads to:\n\n* **Inaccurate evaluations** and inefficient iteration cycles in development\n* **Risky, unpredictable** AI behavior in production\n\n### **Our Solution**\n\n* **A SOTA model for evals**: Selene outperforms all frontier models (OpenAI’s o-series, Claude 3.5 Sonnet, DeepSeek R1, etc.) across 11 benchmarks for scoring, classifying, and pairwise comparisons.\n\n  ![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/8aec7a55-9ec9-4c98-86ae-ed3293fa3988)\n\n* **A platform to align our evaluator**: Adapt Selene to your exact evaluation criteria—like “detect medical advice,” “flag legal errors,” or “judge whether the agent upgraded its workflow correctly.”\n\n  ![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/ae45cd9b-5315-4d1b-a5e5-971c1da285d4)\n\n\nSelene works seamlessly with popular frameworks like DeepEval (YC W25) and Langfuse (YC W23) — just add it to your pipeline. And it runs faster than GPT-4o and Claude 3.5 Sonnet.\n\n### **Who We Are & Why We’re Building This**\n\nWe’re a small, highly technical team of AI researchers and engineers, with folks from leading AI labs and startups. Our mission is to enable the safe development of AGI. As models grow more powerful, **we need a ‘frontier evaluator’ that keeps pace with frontier AI**. We see Selene as a stepping stone toward scalable oversight of powerful AI.\n\n![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/c1aa726d-219c-46ca-b99f-e14279c499b2)\n\n### **Our Ask**\n\n[**Try Selene for free**](https://www.atla-ai.com/api) → Integrate our API into your eval pipeline.\n\n[**Try our Alignment Platform**](https://www.atla-ai.com/sign-up?utm_source=ycombinator&utm_medium=community&utm_campaign=SU_YC_launchyc_communitypost_sel1launch_) → Craft a custom eval for your application.\n\n[**Discord**](https://discord.com/invite/qFCMgkGwUK?utm_source=ycombinator&utm_medium=community&utm_campaign=_YC_launchyc_communitypost_sel1launch_) → Leave feedback, get to know us, and brainstorm cool ideas.\n\n![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/8b5d8436-9914-4e22-a4d6-47f4fdf842fe)\n\n",
        "url": "https://www.ycombinator.com/launches/Mu5-selene-the-world-s-most-accurate-llm-as-a-judge",
        "votes": 56,
        "created_at": "2025-02-26T12:41:49.232Z"
      }
    ]
  },
  {
    "id": 28816,
    "name": "Contour",
    "slug": "contour",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f5695ba4c0d9dd82ed980d0e36154b1b915be329.png",
    "website": "",
    "all_locations": "New York City, NY, USA",
    "long_description": "Contour is the enterprise voice AI platform for healthcare logistics. Provider networks, telemedicine companies, labs, and multi-site clinics use Contour to automate high volume, repetitive phone workflows that traditionally require dedicated back office staff. Built for regulated environments, Contour integrates directly with core clinical systems to handle every call with full auditability and HIPAA compliance.",
    "one_liner": "AI voice agents for healthcare operational calls",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1687380459,
    "tags": [
      "B2B",
      "Workflow Automation",
      "Healthcare",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/contour",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/contour.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/contourai/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f5695ba4c0d9dd82ed980d0e36154b1b915be329.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1177508,
        "full_name": "Arvind Subramanian",
        "title": "Founder",
        "founder_bio": "Co-founder/CEO @ Contour",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arvind-subramanian",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e79a51fece3c62d6d4ae515e4b847c91bb10c94.jpg"
      },
      {
        "user_id": 1363906,
        "full_name": "Vamsi Saladi",
        "title": "Founder",
        "founder_bio": "I'm a Software Engineer and Data Scientist, am the cofounder of a new startup. I graduated from Stanford University in June 2021 with a BS in Computer Science, and in June 2022 with an MS in Computer Science - Machine Learning and Artificial Intelligence. My research focused primarily on computer vision and natural language processing, and applying new technologies in both fields to solve practical problems. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/vamsisaladi99",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fbd13e747eae355d8ca47709461a0a1fdad1b66.jpg"
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    ],
    "jobs": [],
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  },
  {
    "id": 28817,
    "name": "Every",
    "slug": "every",
    "former_names": [
      "Every, Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6d95a7e52c48aa0ca308da9a47334c29fb6c7a4.png",
    "website": "https://every.io/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Setup your entire back-office in one place.\r\n- Banking: Bank Accounts, Corporate Cards, Payments, Treasury\r\n- Bookkeeping & Tax: Keep you books in order and file income taxes at the end of the year\r\n- Payroll and Benefits: US Payroll in 50 states, US Contractors, International Contractors. Health, Vision, Dental, 401k Benefits",
    "one_liner": "Banking + Payroll/Benefits + Bookkeeping + Tax in one place",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1684370468,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/every",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/every.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/everybanking/",
    "x_url": "https://twitter.com/EveryBanking",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6d95a7e52c48aa0ca308da9a47334c29fb6c7a4.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 886715,
        "full_name": "Rajeev Behera",
        "title": "Founder",
        "founder_bio": "Rajeev was the co-founder and CEO of Reflektive, where he raised $100 million in venture capital and built the organization to 250 employees. Reflektive was ranked the 13th fastest growing company in North America by Deloitte in terms of revenue growth.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rajeevbehera",
        "x_url": "https://twitter.com/rajeevbehera",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/716b93c4143c2d509a3bb3dfbeb82078182ecfae.jpg"
      },
      {
        "user_id": 1360838,
        "full_name": "Barry Peterson",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/barrympeterson",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76c838afd58feaba649f80b2ded55e28e4bafbe8.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Full-stack back-office startup Every.io raises $9.5M",
        "url": "https://www.axios.com/pro/fintech-deals/2023/11/16/back-office-startup-everyio-9-million-seed",
        "date": "Nov 16, 2023"
      }
    ],
    "launches": [
      {
        "id": 105229,
        "title": "Every Benefits: Stop paying for health insurance your team doesn't use",
        "tagline": "The smarter way to offer great benefits — without overpaying for coverage employees don't need",
        "body": "**TLDR**\n\nHey all, I run Every, the all-in-one HR and Finance platform. We are currently serving 2100 customers, including over 300+ YC startups.\n\nToday we are launching Every Health Benefits. We combined our HR and Fintech stack to build a new way of funding health benefits that **saves the average startup $1,200 per employee per year** - while keeping the same carriers, networks, and employee experience.\n\nLaunch video: <https://www.youtube.com/watch?v=T59_0OouTEU&amp;feature=youtu.be>\n\n**Problem**\n\nHealthcare is the second largest cost for many startups behind payroll, and every year costs are increasing while insurance coverage is staying the same or decreasing. Costs have climbed 24% over the last five years, according to[ KFF's Employer Health Benefits Survey.](https://www.kff.org/health-costs/2024-employer-health-benefits-survey/)\n\nI have been the CEO at a startup for 10+ years now. The first few times I renewed benefits (at my previous startup) I thought my HR vendor was ripping me off. I don’t love being taken advantage of, so I got pretty upset and immediately started looking for a new vendor. When I did, I realized prices went up everywhere, and I was stuck paying thousands of dollars more for a product that wasn’t even improving.\n\nThe math is broken, and I was paying a lot of money is for benefits I knew my team was barely using.\n\nMost startup teams skew young and healthy. The average startup employee never comes close to hitting their deductible, but given the war for talent, startups have to offer expensive Gold and Platinum level plans.\n\n**Solution**\n\nEvery Benefits flips the model. Instead of paying higher premiums upfront to cover employee healthcare costs, employers choose a lower-premium plan and pair it with an employer-funded reimbursement arrangement. **Employees are reimbursed for eligible expenses as they're incurred**—so you are paying for benefits as costs are incurred, instead of before.\n\nThe result? Silver plan that feels like Gold. A Gold plan that feels like Platinum. Same carriers. Same networks. A $0 effective deductible experience for employees—at a meaningfully lower cost for employers.\n\n**Savings**\n\nFor a 25-person company with average characteristics, this reduces annual benefits spend from approximately $261,000 to $230,000—about $31,000 in a typical year.\n\n* **50 employees:** approximately $62,000 in typical-year savings\n* **100 employees:** approximately $125,000 in typical-year savings\n* **Average savings:** up to 12% on health benefits spend\n\n_Savings figures are based on a 25-employee company on a small group, fully insured Platinum PPO. Actual savings depend on plan selection and utilization and may vary. Every Benefits is available in select states; see [every.io](http://every.io) for current availability._\n\n**Ask**\n\nIf your company might be interested in this, I’d love to chat with you, please email me at [sales@every.io](mailto:sales@every.io).\n\n![uploaded image](/media/?type=post&id=105229&key=user_uploads/886715/ae7fade5-6ada-4e60-ac4c-dfc2329532d0)\n\n",
        "url": "https://www.ycombinator.com/launches/RNF-every-benefits-stop-paying-for-health-insurance-your-team-doesn-t-use",
        "votes": 43,
        "created_at": "2026-07-10T20:04:50.375Z"
      },
      {
        "id": 89698,
        "title": "Every: Payroll that saves founders billions of dollars in fines",
        "tagline": "Seamlessly hire in the US and 200+ countries around the world with compliance on autopilot",
        "body": "TLDR: We've built a [payroll platform](https://bit.ly/4jkjsUM) with built-in compliance\\*\\* that allows you to seamlessly hire in the US and 200+ countries around the world. Our platform frees founders from HR compliance headaches so they can focus on building their product.\n\n[Payroll Sizzle Reel](https://www.youtube.com/watch?v=CS8htsL6t_k)\n\n**The Problem**\n\n**Founders aren't payroll experts, but the IRS doesn't care. Each year, businesses pay billions in payroll penalties.** US business owners face \\~$6 billion in annual IRS penalties because most founders aren't payroll experts and struggle with compliance tasks.\\\n\\\n**The Every difference:** We perform manual compliance reviews before tax submission. After processing \\~$60M in payroll, our customers have paid $0 in late/incorrect tax penalties.\\\n\\\n**New state, new employee, new headache.** Hiring in a new state means hours navigating unfamiliar government websites and processes—often including frustrating phone calls—to set up tax accounts and foreign qualifications before your new hire can get paid.\n\n**The Every difference:** we set up your state tax accounts for you, and can also automate foreign qualifications, saving you many hours of painful busywork, ensuring not only that you are state tax accounts are registered properly, but proactively making sure your business is compliant, reducing unnecessary stress or possible fines\n\n**Incumbent payroll systems are built for traditional SMBs, not tech startups.** Incumbent solutions were designed for traditional businesses with conventional workforces—not for tech startups with distributed teams, complex equity structures, and growth trajectories that can take you from three employees to thirty in a matter of months.\n\n**The Every difference**: Built exclusively for tech startups, not restaurants or retailers. We've invested deeply in creating an intuitive experience that saves you time and provides clarity—something impossible for competitors trying to serve every industry at once.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=89698&key=user_uploads/886715/b2b84836-5cd9-440a-92f1-b86210b52c6d)\n\nWe provide a **comprehensive payroll solution** designed specifically for **tech startups**. We handle the complexity of payroll, compliance, and global hiring so you can put HR on autopilot.\n\n* **We handle all the compliance stuff automatically** - As founders ourselves, we built the solution we wished we had: payroll taxes, offer letters with CIAAs, W-9 collection, and 1099 filing—all on autopilot. No more administrative headaches stealing your focus or surprise fines derailing your momentum.\n* **We handle state tax account setup -** We handle state tax registrations and filings, saving our clients hours of work and helping them avoid penalties and paperwork.\n* **We've made international hiring simple** - As founders, we needed a simpler way to hire internationally. Now you can bring on team members in 200+ countries through our EOR solution or work with international contractors using country-specific contracts—all managed in one place. No legal research, no compliance surprises, just building your best team regardless of borders.\n* **We offer concierge support** - Every client gets their own Slack connect channel with our in-house specialists. These aren't outsourced support agents - they're actual payroll, benefits, and compliance experts who know your specific situation.\n* **Compete for talent, protect your runway** - Our tech-specific health benefits packages are built for the modern startup. We've navigated these waters ourselves and created options that match what the giants offer without their massive budgets. A dedicated specialist will help you find the sweet spot between competitive benefits and financial sustainability.\n\n**What YC Founders Say About Every:**\n\n> We had some complicated situations (e.g. payroll for contractors), and Every handled them super well. We were literally set up within an hour for contractors and within a day for W2 payroll\n\n> FYI we started with Rippling  but it was a nightmare to use. It's clearly not optimized for small teams with low overhead. We ended up switching to Every. Pricing is similar but you get a significantly simpler product and founder support, and you can email a human who responds promptly. Highly recommend!\n\n> I initially tried to do Rippling and Gusto but got turned off by the friction with onboarding or with state filings. Every was 10 minutes (probably less)\n\n> Haven't thought about payroll at all since onboarding onto Every. Rajeev and team are great!\n\n**Ready for Payroll That Actually Works for Founders? Get Started Today!**\n\nVisit [Every.io](https://bit.ly/4cGEESl) today to request a personalized tour. Getting started is remarkably fast—our dedicated experts will guide you through each step of setting up your tailored payroll system with built-in compliance, international capabilities, and ongoing support. From first click to fully operational in days, not weeks.\n\n**Our Ask + $150 Referral Bonus**\n\nKnow founders struggling with payroll headaches? Introduce them to Every! We'll give you a **$150 referral bonus** for every founder who signs up for our payroll service. Simply email [**sales@every.io**](mailto:sales@every.io) with your introduction. Help your founder friends save time while earning rewards!\n\n**About** [**Every.io**](https://bit.ly/4cGEESl)\n\n[Every.io](https://bit.ly/4cGEESl) is a Series A company that has raised $32 million in venture funding from Y Combinator and Redpoint. [Here’s an article](https://techcrunch.com/2024/09/12/why-y-combinator-companies-are-flocking-to-new-banking-hr-startup-every/) from Techcrunch for our $22.5 million Series A announcement.\n\nEvery was founded by Rajeev Behera and Barry Peterson.\n\nRajeev was the co-founder and CEO of Reflektive, an HR SAAS company that he scaled to 250 employees and raised $100M from a16z, Lightspeed, and TPG.\n\nBarry was the Director of Engineering at Reflektive and has decades of experience scaling engineering teams at startups and Fortune 500 tech companies.",
        "url": "https://www.ycombinator.com/launches/NKk-every-payroll-that-saves-founders-billions-of-dollars-in-fines",
        "votes": 24,
        "created_at": "2025-04-21T15:57:54.077Z"
      },
      {
        "id": 87009,
        "title": "Every.io: Incorporate your startup for $0",
        "tagline": "Lawyer-quality incorporation for free, in under a week.",
        "body": "TLDR: We’ve built a **completely free incorporation service** to help tech founders form their startups as Delaware C-Corps - without paying $5,000 in legal fees. We also handle your entire back-office setup (banking\\*, payroll, accounting, and taxes) in under two hours, saving you 20+ hours on average so you can focus on building your product.\n\n### **The Problem**\n\nMany first-time founders discover - often too late - that incorrect or incomplete incorporation documents can raise red flags and make you look unprofessional in front of investors. Fixing these mistakes can cost thousands of dollars, lead to major delays when raising capital, and damage your reputation right when you need investor confidence the most.\n\n### **Our Solution**\n\n![uploaded image](/media/?type=post&id=87009&key=user_uploads/886715/adbc5bc1-27bf-440a-a8a9-f2afbb222fde)\n\n**Every** provides **lawyer-quality** incorporation documents at no cost, ensuring your startup is **investor-ready** from day one. In addition, we set up your **entire back office**—bank account\\*, payroll & HR, accounting, and taxes—so you don’t waste time juggling multiple vendors.\n\n* **Lawyer-quality incorporation, for free.** Instead of paying $5,000 to incorporate your startup with a lawyer, you get the same quality - and it is free. We have already incorporated 50+ Y-Combinator and Antler companies that successfully received investment with zero issues or need for legal re-work.\n* **Structure your stock to maximize your returns.** We provide clear guidelines for founder vesting, including a double-trigger acceleration clause to protect your equity if your startup is acquired and you’re terminated. \n* **Amazing Deals.** Once you incorporate and open your account with Every, you unlock a **$3,000 bonus** if you raise **$500K or more**, plus **3% cashback** on all corporate card spend.\n* **Save 20+ hours setting up your entire back office.** [Every.io](https://www.every.io/?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC) doesn’t just offer incorporation. We set up your bank account\\*, payroll & HR, accounting, and taxes—everything you need to run your startup for the first five years. Usually, you would need to setup four different vendors and spend 25+ hours to get it all up and running. With Every, it will take less than 2 hours to set up everything.\n\n### **How to get started**\n\n[Visit Every.io](https://www.every.io/contact?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC) to see how you can form your tech startup for **$0** and streamline your entire back office.\n\n![uploaded image](/media/?type=post&id=87009&key=user_uploads/886715/bc0b5a47-9cf5-49ed-9d78-224beaffb6d9)\n\n### **Our Ask + $150 Referral Bonus**\n\nIf you have any friends starting a company that needs to be incorporated, please let them know about us!  If you introduce a founder friend who incorporates with us, we’ll give you a **$150 referral bonus**. Just email [**sales@every.io**](mailto:sales@every.io) to introduce them to us 🙂\n\n**About **[**Every.io**](https://www.every.io/?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC)\n\n[Every.io](https://www.every.io/?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC) is a Series A company that has raised $32 million in venture funding from Y Combinator and Redpoint. [Here’s an article](https://techcrunch.com/2024/09/12/why-y-combinator-companies-are-flocking-to-new-banking-hr-startup-every/) from Techcrunch for our $22.5 million Series A announcement.\n\nEvery was founded by Rajeev Behera and Barry Peterson.\n\nRajeev was the co-founder and CEO of Reflektive, an HR SAAS company that he scaled to 250 employees and raised $100M from a16z, Lightspeed, and TPG.\n\nBarry was the Director of Engineering at Reflektive and has decades of experience scaling engineering teams at startups and Fortune 500 tech companies.\n\n\\*Every is not a bank. Banking services are provided by Thread Bank, Member FDIC. The Every Visa Business Debit Card is issued by Thread Bank, pursuant to a license from Visa U.S.A. Inc., and may be used anywhere Visa cards are accepted.",
        "url": "https://www.ycombinator.com/launches/MdN-every-io-incorporate-your-startup-for-0",
        "votes": 58,
        "created_at": "2025-01-21T17:31:25.705Z"
      }
    ]
  },
  {
    "id": 28818,
    "name": "Mandel AI",
    "slug": "mandel-ai",
    "former_names": [
      "Enbank",
      "Fynt",
      "Fynt AI",
      "Fynt",
      "Fynt AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf3efb3a17f100893c2b9e11f3f945ba7fbdf04.png",
    "website": "https://www.mandel.ai/",
    "all_locations": "Sofia City Province, Bulgaria",
    "long_description": "Mandel runs the operational work across direct-materials sourcing and ordering - from RFQ through invoice - for manufacturers and distributors. It coordinates suppliers, checks orders and invoices against agreed terms, resolves discrepancies, recovers supplier credits, and keeps the ERP current.\r\n\r\nWorking across email, supplier portals, EDI, and ERP systems, Mandel investigates issues and carries out the next steps within your team’s approval rules.",
    "one_liner": "AI Coordination Layer for Supply Chain",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1691105932,
    "tags": [
      "Logistics",
      "Manufacturing",
      "Supply Chain",
      "Procurement",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "Bulgaria",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
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        "id": 82795,
        "title": "Mandel AI - Never chase suppliers for updates again",
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        "body": "# **One Email Unsent - That’s all it could take for the global supply chain to crash**\n\nThe way to manage a supply chain has not changed since the invention of E-Mail and Excel.\n\n## **What’s the problem?**\n\nFor your ordered Tesla to be produced, there are thousands of suppliers that need to be coordinated so that a single bolt missing does not halt $billions of production.\n\nHowever, today, procurement teams manage this coordination through email, spreadsheets, PDFs (and, horrifyingly, sometimes even WhatsApp).\n\nThis means there are tons of supply chain disruptions not caught on time because an email or spreadsheet was not sent to or from the supplier.\n\n**This year, due to supply chain disruptions,** [**businesses will lose over $1.6 Trillion**](https://www.accenture.com/content/dam/accenture/final/capabilities/cross-service-group/iconic-thought-leadership/document/Resiliency-in-the-making-report.pdf)\n\n## **So how do we fix this?**\n\n[Mandel AI](https://www.mandel.ai/) is building autonomous supply chain agents that plug into the email and ERP of manufacturers to create a real-time, self-updating source of truth for your supply chain. Our AI-powered procurement agents:\n\n* Proactively email suppliers for order updates\n* Surface supply chain disruptions and extract supplier updates (like lead times & price updates) from emails\n* Save 20+ hours per week per team member\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/2c1d8412-6fe0-4a76-9d51-d461ec432b01)\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/6000a50f-4441-40d4-afcb-470574a4b499)\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/cf3b9f13-47b4-4d05-b8c2-bf5bb39865ec)\n\n## **Why It Matters**\n\nProcurement teams spend up to 80% of their time manually emailing suppliers for RFQs and PO update requests, leading to production delays and miscommunications that can result in millions or billions in lost sales. As Covid proved, in today's global supply chain, real-time visibility and rapid response to issues are critical for the business and the end consumer.\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/7e0f13f0-ca52-4e22-82f2-3726b9b2eaa4)\n\n**We have already processed $50M+ in material spend and 40,000+ email threads.**\n\n**To create your first Mandel AI agent, sign up on our website:**\n\n### [**www.mandel.ai**](http://www.mandel.ai)",
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        "full_name": "Vlad Keil",
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      {
        "id": 73397,
        "title": "askLio - AI-Copilot for procurement teams",
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        "body": "\\*\\*TL;DR;\\*\\*\\\nAt [askLio](https://www.asklio.ai/), we use AI to help procurement teams automate free-text requests and guide employees. When an employee at a large enterprise wants to buy something, the procurement process used to take weeks - our AI turns it into hours. \n\nIf you're a procurement leader, [connect with us today.](https://xeffrshdh99.typeform.com/to/Buy5kkeR)\n\n![uploaded image](/media/?type=post&id=73397&key=user_uploads/1103944/fd2938d0-287f-4a6d-995b-37f0b8d034b5)\n\nFrom left to right [Till](https://www.linkedin.com/in/till-wagner-182ab119a/), [Lukas](https://www.linkedin.com/in/lukas-heinzmann-b96434102/) and [Vladi](https://www.linkedin.com/in/vladimir-keil/)\n\n**❌ The Problem**\n\nEmployees at large enterprises have a hard time understanding and following all the procurement rules when they want to buy products or services. This leads to thousands of requests from employees to the procurement team asking to get what they are looking for.\n\nSince many of these requests are coming in as plain text, it was impossible to process them automatically. With the current ways of handling these free-text requests, procurement has been doomed to process every single one manually. \\\n\\\nProcurement teams spend hours of manual work to\n\n* **understand the requirements** of the employee\n* directing spend appropriately to **existing contracts, vendors**, and **catalogs** where possible\n* identifying and fixing **incorrect or missing** information\n* trying to **conduct spend analysis** which is nearly impossible for text requests\n\nThis finally turns procurement into a costly and week-long process. \\\n\\\n💡 **The solution**\n\nWith Generative AI, we enter an era where technology can support procurement teams processing these text requests. \\\n\\\n_In an ideal world, software would automate all the steps:_ Employees could state their request in natural language, specify their demand and immediately see in which catalog they can find the solution or with what vendors existing contracts are already in place. \\\n\\\n_Our software does precisely that._\n\n![uploaded image](/media/?type=post&id=73397&key=user_uploads/1103944/73a05627-03f7-4a49-8e35-df3df27102aa)\n\n\\\nSitting in **MS Teams** or the **P2P-System**: our AI-Copilot reduces cost by freeing up procurement teams from time-hungry tasks by **automatically processing free-text requests.** \\\n\\\nThe AI tackles them and assists in **refining specifications**, taking full **advantage of existing contracts** and **structuring** purchase requirements - **enriching them with e.g. purchase category**.\\\nSince our AI understands text requests, it enables procurement to do **spend analysis** and **category management** within seconds. \\\n\\\n[Schedule a demo](https://www.asklio.ai/) here to see how [Lio’s technology](https://de.asklio.ai/) can help your team scale procurement without scaling headcount.\\\n\\\n🌟 **Our mission**\\\nAfter experiencing the procurement pain firsthand (working at big enterprises like SAP, waiting months to get the things we need) and consulting big firms on procurement - we set our mission on leading the initiative with our AI solution. \\\nWe are addressing the operational excellence need, talent shortage, and effective demand management. Making the greatest impact on cost and risk throughout the whole procurement process.\\\n\\\n**The ask**\n\n* [Book a 15-minute demo](https://xeffrshdh99.typeform.com/to/Buy5kkeR) here or contact us at [founders@asklio.ai](mailto:founders@asklio.ai)\n* Share this post and tell your network about generative AI opportunities in procurement\n* Visit our Website [asklio.ai](https://asklio.ai)",
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        "full_name": "Chris Parsonson",
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        "body": "**Tl;dr:** At [Solve Intelligence](https://www.solveintelligence.com/?utm_source=YC+Launch&utm_medium=Main&utm_campaign=Launch&utm_id=SolveIntelligence) we use AI to help you write high-quality patents quickly. We do this by providing a simple in-browser document editor that any patent attorney or inventor can start using straight away. [Connect with us today](https://www.solveintelligence.com/contact?utm_source=YC+Launch&utm_medium=Contact&utm_campaign=Launch&utm_id=SolveIntelligence).\n\n---\n\n![uploaded image](/media/?type=post&id=72326&key=user_uploads/1367673/ba232c74-2217-4a90-b551-4137904874ed)\n\nFrom left to right: [Solve Intelligence](https://www.solveintelligence.com/?utm_source=YC+Launch&utm_medium=Main&utm_campaign=Launch&utm_id=SolveIntelligence) co-founders [Angus](https://www.linkedin.com/in/angus-parsonson-24935914b/), [Sanj](https://www.linkedin.com/in/sanj-ahilan-844b33137/), and [Chris](https://www.linkedin.com/in/chris-parsonson-381830a3/) (Angus’ brother) in San Francisco.\n\n---\n\n### **What are we building?**\n\nWe are building an in-browser document editor powered by AI to help inventors and attorneys write patents. Our product can help with all stages of the patent life cycle, from drafting and filing to prosecution and opposition. For further details on what our product offers, refer to [this analysis on the top 5 AI tools for patents.](https://www.solveintelligence.com/blog-posts/top-patent-analysis-tools)\n\n### **Product Snapshot**\n\nGiven your tech and prior art, use AI to draft a patent:\n\n![uploaded image](/media/?type=post&id=72326&key=user_uploads/1367673/f221a3d5-21ff-4171-88e3-01301a84b9a7)\n\nChat with the AI and use it to help edit the patent:\n\n![uploaded image](/media/?type=post&id=72326&key=user_uploads/1367673/6707811a-c00a-4eb9-a729-94827e8bfefa)\n\n### **Why are we building it?**\n\nFrom drafting to grant, a worldwide patent costs $60K on average and can take years to obtain. If the patent is contentious, then costs can get much higher ($100K-1M+). It's a slow, complicated, and expensive process which can block innovation and delay time-to-market.\n\nThere's a need for software solutions which can make the patenting process more efficient.\n\nMost existing intellectual property software focuses on _search_ (finding related technology). However, the _generative_ steps of drafting a patent and responding to examiners and competitors make up 90%+ of the costs.\n\nEnter AI, which now has the ability to help with generative patent tasks. At Solve Intelligence, we have assembled a world-class team of AI researchers and software developers. Our goal? To leverage and build on recent AI breakthroughs to transform the patenting process.\n\n### **Who are we building for?**\n\nOur product is for any tech company or inventor striving for swift, high-quality patents at below-market rates. It’s also a valuable tool for patent law firms looking to increase their bandwidth, engage more personally with their clients, and ensure that the patents they file are of high quality. For further details on how our product can help with patent drafting, refer to [this analysis of the top 6 patent drafting tools](https://www.solveintelligence.com/blog-posts/best-ai-patent-drafting-tools).\n\n### **Our ask**\n\n[Contact us](https://www.solveintelligence.com/contact-us) to:\n\n* **book a full demo** and **give us your feedback**\n* connect us to **patent attorneys** in your network\n* connect us to **tech inventors** in your network\n\n---\n\n---",
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        "body": "TL;DR:\n\n_We make it easy to debug and test LLM systems. Understand your AI by replaying sessions line by line and setting rules for it to follow moving forward._\n\nHey Everyone! We’re Matt & Max, the team behind [Talc.AI](https://talc.ai?utm_source=yc&utm_medium=referral&utm_campaign=launch-yc)\n\n![uploaded image](/media/?type=post&id=73260&key=user_uploads/1274021/e0fc1906-3bf6-4a91-9c68-c91f1a5b5b46)\n\n**Matt**: I’ve spent the last 6 years engineering at Facebook and Airbnb. At FB I worked on Election Integrity, developing new ways to detect foreign interference campaigns. Hit me up if you want to hear some war stories!\n\n**Max**: I found my passion for tech early, teaching myself to code when I was 13. This journey most recently brought me to being the technical lead for a 30 person org at Facebook that reviewed every major product launch. I love the challenge of trying to understand complex systems and want to help people do the same with Talc.\n\nWe’ve been friends for almost a decade and couldn’t be more excited to be doing this together.\n\n### The Problem\n\nDeveloping real LLM systems is still hard. Prompt engineering is full of trial and error, and debugging your chain and regression testing is a painful manual process.\n\n### The Solution\n\nReplay any session your AI has had and tweak it until it's perfect. No more copy and pasting into a playground – re-run your sessions exactly as they happened and deeply understand their possible outputs. Have a bug on message 20? Hop into that context immediately and start fixing it.\n\n![](https://lh6.googleusercontent.com/A8PxlLmIyUlxmpADBV6WOisxmZAZFraHnniUGf52CmR3IEPKY-mNdz_q3gTNMuD_EsJWu9Rhn25kfDR4Li5z_7mipCkugQOFCWjC_c9rG8q_jkEd0PGw19cf1kt1OyFLZeMAegwK0aNNo-qK2XzEVRI)\n\n> _Left: Walk through your AI message logs_\n\n> > _Right: Edit the inputs and prompts that went into each message, all auto-populated for you_\n\n![](https://lh4.googleusercontent.com/sv7qlXTg598CcU5TY_v3uN2tNqiQgEW9PwW6n5YrQgozYubSYIiEdlbhXZGKfdAxI4aL8AZ48KhMDxbT8xWyNNDeQcxZKHFlAQkq95-Wa93jVlmoTrr5Wmh0x1awwrl0elHkZa8CcPXvJpvaGhysw6k)\n\n_Test changes against your saved use cases for regression testing_\n\n**What we’re asking**\n\n* Is LLM debugging & testing holding you back? **Reach out to us** at [talc.ai](https://talc.ai?utm_source=yc&utm_medium=referral&utm_campaign=launch-yc) or [book time directly on our calendars](https://calendly.com/_mattlee/intro-to-talc-ai)!\n* Do you know anyone working on LLMs in production? We’d love to learn from them! [Help us get connected](mailto:founders@talc.ai?subject=Introducing%20you%20to%20the%20Talc%20AI%20team).\n* Share us with anyone who spends a lot of time debugging LLMs\n  * _Blurb_: [Talc.ai](https://talc.ai?utm_source=yc&utm_medium=referral&utm_campaign=launch-yc) launched an LLM debugger so you don’t have to copy context into openai playground or jupyter notebooks any more. Reach out via [founders@talc.ai](mailto:founders@talc.ai).",
        "url": "https://www.ycombinator.com/launches/J3c-talc-debugger-for-your-llms",
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        "body": "**TLDR:** [**Airgoods**](https://airgoods.com/) is a wholesale marketplace that makes it easy for specialty food stores to buy their inventory in one place. Today, we focus on connecting these stores with over 1,000 non-alcoholic and functional beverage products.\n\nHi everyone! We’re Aaron, Elian and Paolo – the team behind Airgoods. We’re on a mission to level the playing field for specialty food stores by offering tools previously only available to big box chains.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/38498184-4bb5-425f-8025-35e02960e710)\n\n### 🤔 **The Problem**\n\n* **Specialty food stores struggle to stay up to date on new and trending products.** Today, most rely on social media platforms like Instagram for discovery. Once they see a product they like, they send the brand a DM to ask for a sample – which can take weeks to months to receive.\n* **To purchase inventory, they have to manage dozens of direct brand relationships.** That means placing orders and coordinating payments over email, phone calls and texts.\n* **Best sellers often go out of stock.** At most specialty stores, reorders only happens when the buyer sees that the shelf is empty. This means there are days – if not weeks – that go by with best sellers being out of stock.\n* **Most brands don’t have the resources to run an in-house wholesale team.** They primarily rely on inbounds, and many relationships end because of limited resources to maintain the account over email, Instagram DMs, and texts.\n\n### **🧰 Our Solution**\n\nAirgoods makes it easy for specialty food stores to discover, sample and order inventory in one place. How?\n\n* **Curated marketplace views that align with store type.** This industry is unique in that the product mix is homogenous within the same store type. For example: an specialty cheese shop in New York offers the same kind of products as one in San Francisco. This allows us to show a business all of the products they want – and nothing they don’t – with high accuracy. For example, today liquor stores and NA bottle shops see the following.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/653e9c5f-f193-4070-9c93-b6da89fddb52)\n\n* **Simplified sample requests.** On Airgoods, stores receive samples in days instead of weeks. We do this by making it easy for brands to track and fulfill samples with in-platform tools that embed the process into their daily order fulfillment workflows. By streamlining this process, we also help brands boost sample to order conversion rates.\n* **Data-driven recommendations and insights.** We provide our buyers with insight into what products are selling best in similar stores around the country. This adds transparency for an industry that traditionally relies on word-of-mouth recommendations.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/015ce154-6e52-4ac5-b3ce-058e77460b29)\n\nWe also integrate with Shopify, which allows brands to fulfill orders from Airgoods without having to onboard to a new sales channel.\n\n### **🐶 Who are we?**\n\nWe are three Yale alums who have been close friends since our first year of college. Before starting Airgoods, Aaron and Elian worked together at an emerging VC fund in NYC, and Paolo and Elian were on Yale’s mens soccer team.\n\nAaron’s dad owns a brick and mortar shop in Maine, and he saw how challenges around ordering inventory put his small store at a major disadvantage to big box chains with dedicated buying teams.\n\n### **🙂 Our Ask**\n\n* Do you have any favorite non-alcoholic or functional beverage brands? Let us know! We’d love to onboard them [**🥂**](https://emojipedia.org/clinking-glasses/)\n* Connect us to anyone you may know in the specialty grocery / wholesale space (store owners, brand owners, service providers) – we’d love to chat at [**founders@airgoods.com**](mailto:founders@airgoods.com)",
        "url": "https://www.ycombinator.com/launches/J34-airgoods-the-wholesale-marketplace-for-food-beverage",
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        "body": "Hey there! I’m Brian from [DataShare](https://datashare.co/).\n\nDataShare is a data-as-a-service platform that lets you embed charts, dashboards and exports directly into your product. For example, if you run an accounting startup, DataShare would enable you to embed a full profit and loss dashboard, with downloadable statements. It’s backed by an enterprise-grade data warehouse and can be implemented in fewer than 20 lines of code.\n\n[Book some time](https://calendly.com/bb-datashare/datashare-intro-call) if you want to learn more. We can walk through all DataShare has to offer and give you an idea of what an integration would look like for your tech stack.\n[](https://www.youtube.com/watch?v=LNZGCl7lQMU)\n# Background\n\nOver the past few years, SaaS and financial services companies have been pushed by their customers to provide better business intelligence tooling. These systems are complex to design, hard to build, expensive to run, and challenging to scale. I've seen numerous examples of companies doing things like operating a database per customer or running 10+ hour-long pre-computation jobs just to deliver customer-facing data products.\n\nHowever, during my time at Stripe, I saw a different model. I ran the engineering team that built [Data Pipeline](https://stripe.com/data-pipeline) and [Sigma](https://stripe.com/sigma), and due to Stripe's infrastructure, we were able to rapidly deliver new products that helped to retain some of Stripe’s largest customers.\n\nDataShare is packaging up what I learned, and delivering that knowledge to the rest of the market.\n\n# The Product\n\nDataShare is a platform that combines a scalable, enterprise-grade data warehouse with a front-end framework for integrating business intelligence tools directly into your product.\n\nCharts and dashboards can be built with a point-and-click UI and can be integrated with just two lines of code.\n\n![uploaded image](/media/?type=post&id=74483&key=user_uploads/8960/57e3c582-7c6a-4595-9e20-efb8550438c5)\n\nYou can also skip the UI if you want. Visualizations can be built using DataShare’s AI-powered assistant.\n\n![uploaded image](/media/?type=post&id=74483&key=user_uploads/8960/3520b630-6afd-4725-9e9f-9bad448c8ee4)\n\nDataShare supports more than 20 types of data sources, including PostgreSQL, MySQL, and MongoDB, and is backed by a full data warehouse.\n\n# About DataShare\n\n[Brian](https://www.linkedin.com/company/withdatashare/) - I spent the past 4 years at Stripe and the past year and a half as the eng manager for [Data Pipeline](https://stripe.com/data-pipeline) and [Sigma](https://stripe.com/sigma). My team and I supported some of Stripe’s largest customers like DoorDash, Slack, Zoom, and Lime, helping keep them happy and run crucial financial workflows.\n\n# Ask\n\nIf you are thinking about building our customer-facing business intelligence tools, or you have a customer-facing BI stack you don’t like, reach out at [hello@datashare.co](mailto:hello@datashare.co) or grab [time to chat](https://calendly.com/bb-datashare/datashare-intro-call).\n\nThanks!\n\nBrian from DataShare",
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        "tagline": "Get to know your customers, for real.",
        "body": "## **⏳ TL;DR:**\n\nRevamp helps eCommerce brands and agencies understand customer behavior by creating smarter segments for targeted email and paid acquisition campaigns.\n\n**😣 What’s the problem?**\n\nEmail marketers and paid media buyers struggle to understand customer behavior because:\n\n* eCommerce data is fragmented across many platforms\n* Most brands and agencies are non-technical and struggle to stitch data together\n* Even if they stitch the data, analyzing it and acting on it is a struggle\n\nAs a result, email marketers default to generic customer segments and media buyers resort to using the bare minimum in their acquisition campaigns.\n\nThis translates to millions of unpersonalized emails sent every day and millions of dollars in wasted ad spend on mediocre customer segments.\n\n**👕 Why are we solving this?**\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/c904f41c-40ee-4988-aa9c-271a0d7b0a77)\n\nWe’re [Amin Akhtar](https://www.linkedin.com/in/amin-akhtar-15048/) and [Stephen Campbell.](https://www.linkedin.com/in/stephenwcampbell/) We’ve been friends for years and will be co-founders for many more to come!\\\n\\\nLet me (Amin) tell you the story of how we got here 🙂 \\\n\\\nAs Chief Revenue Officer of a bootstrapped D2C brand, I found myself spending time I didn’t have wrangling customer data across an ever-expanding tech stack.\\\n\\\nAs a result, I, like most D2C marketers, resorted to using basic customer segments like “purchased in the last 30 days” in campaigns – that too without really knowing anything about their behavior besides the obvious. \\\n\\\nThe outcome? Declining revenue from over email and dropping conversion across paid acquisition campaigns that kept me up at night.\\\n\\\nTo solve my problem I built a prototype (read: series of massive spreadsheets) to create better segments which drove a near-instant 5% increase in revenue from email campaigns + improved performance on the acquisition side.\\\n\\\nAfter hearing my pain points for (at least) the hundredth time, Stephen decided to partner up with me and we got to building. Now we’re actively realizing our vision of a better future for eCommerce retention.\n\n**🔎 How are we solving it?**\n\nRevamp intelligently stitches data across Klaviyo and Shopify, automatically creates valuable customer segments and calculates metrics and insights specific to that segment. \\\n\\\nWe then give users the ability to flexibly analyze data and observe differences in behavior in seconds - a task that would’ve taken them days if not weeks to do without it!\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/2eebc8ac-5659-44cd-9ead-cad50cb0fa8b)\n\nFinally, users can push our segments to Klaviyo with one click and Revamp does the heavy lifting of making sure everything’s synced up!\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/a13b0278-c93c-4f6d-bc91-3e90cb23da5c)\n\n**🙏 How can you help us?**\n\n* Drop us a follow on [LinkedIn](https://www.linkedin.com/company/revamp-ai/) and follow our journey!\n* We’d greatly appreciate any intros to D2C brands, eCommerce agencies or anyone looking to improve their email marketing!\n\nIf you know anyone in the space feel free to reach out at [founders@getrevamp.ai](mailto:founders@getrevamp.ai)",
        "url": "https://www.ycombinator.com/launches/J48-revamp-smarter-customer-segmentation-for-ecommerce",
        "votes": 43,
        "created_at": "2023-07-21T15:16:54.213Z"
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        "title": "Synch: Unified sales stack",
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        "body": "Hey everyone, we’re [Asad](https://www.linkedin.com/in/asadsdar/) and [Daniel](https://linkedin.com/in/daniel-ruiz-a73818aa) from [Synch](https://www.withsynch.com/)!\\\n[ ](https://www.youtube.com/watch?v=PiHGtnI5qps)\n\n# What is Synch?\n\nSynch is a unified sales platform for both your Sales and Sales Ops teams. We work out of the box with Salesforce with no implementation time required.\n\n# **The World Today**\n\nRevenue tech is incredibly fragmented. Almost everyone uses Salesforce, but they don’t build auxiliary products well. This has led to a long tail of point-solution companies that only handle tiny portions of the sales team’s workflows. You buy one product for forecasting, one for pipeline management, another for lead routing, etc.\n\nAdditionally, even though all these point solutions pull customer data from a common spot (Salesforce), none of them \"talk to each other.\"\n\nWe are building a company that gives you each of those SKUs while also giving you the tools to manage your SFDC environment. We want you to spend less time worrying about your tools and systems and more time worrying about your leads and prospects.\n\nIn our previous roles, it became increasingly clear that more time was spent on non-revenue generating activities than selling. Sales leadership spends an inordinate amount of time managing their tech stack, evaluating new vendors, and training their team on using tools - all at the expense of closing deals. \n\n# **Our Solution**\n\n**For your Sales team**, we offer many different SKUs with a shared analytics suite so leaders can spend less time evaluating multiple vendors. Today, we offer forecasting, deal review, pipeline management, alerts, lead assignment, and other features that require zero implementation time. We share data between these products so information from our dashboarding tool (AE demo conversion rates) can automatically adjust your round-robin setup in your lead routing tool — \"Turn my round robin into a 55-45 in favor of Tommy because he has a better close rate over the last two weeks\", as an example.\n\n**On the SalesOps side**, we provide you with tools to manage and maintain your SFDC instance. You can turn plain-text inputs into built-out Apex Code or flows, get robust dashboards with only a few clicks, and manage your Salesforce schema without ever needing to go into Salesforce.\n\n**All of this works out of the box with SFDC. Just SSO & Go.**\n\n**Ask**\n\n[Feel free to grab time directly on my calendar here](https://calendly.com/danielsynch) if you want to learn more, or check out our blog post: [https://www.withsynch.com/blog/announcing-synch.](https://www.withsynch.com/blog/announcing-synch)",
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        "title": "Magik: Your AI-powered Salesforce admin",
        "tagline": "Spend less time managing your CRM, and more time running your business",
        "body": "Hey everyone! We’re Asad Dar and Daniel Ruiz from [Magik](https://www.usemagik.com/)!\n\nMagik automates Salesforce workflows and data reports using AI, allowing you to get insights from and build your CRM in a fraction of the time.\n\n![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/5bcc28c8-1998-4ebe-bcec-6a22a31ab085)\n\n![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/846cf470-60c1-47cf-b404-a5d6e28988b2)\n\n# **Why we built Magik**\n\nSalesforce is complicated!\\\nCRMs and the customer data inside are essential for companies, yet most people don’t have experience with them. \n\nJunction objects, validation rules, and record-triggered flows sound confusing, and founders are intimidated. As a result, they turn to individuals with Salesforce certifications and address the problem in two main ways:\n\n1. Hire a consultancy firm for $100-$200/hr. \n   1.  Your company hires an expensive consultant with misaligned incentives on how quickly the work should get done.\n2. Hire an FTE\n\n**Both of these solutions are slow to implement and expensive to maintain.**\n\n# **Our Solution**\n\nWe leverage GPT models to streamline, simplify, and automate Salesforce workflows so that anyone can do the work of an expert-level RevOps employee. Our product allows users to build in Salesforce 15-25X quicker than before and receive recommendations they can automatically enable.\n\n# **How does it work?**\n\n* 🔗 **Connect** - Use Salesforce SSO to connect your environment to Magik.\n* 📩 **Get Recommendations** - Once connected, Magik will make suggestions based on the event data in your environment.\n* ✅ **Take action** -  Use natural language to describe your desired actions, and let Magik build them for you. Whether pulling data queries, automating workflows, or creating data visualizations, Magik helps you get it done in a fraction of the time.\n\n  ![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/9b6beba2-25ff-4593-9ee2-71c73dd49de4)\n\n\n![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/1b3907da-61f7-4969-b675-f9a0ab32292f)\n\n# **Ask**\n\nWe’d love to hear from you! \n\nIf you currently use Salesforce or are considering it in the future, we could save you a significant amount of time and money 🙂, and ensure your CRM setup is perfect for your business.\n\n\\\nYou can email [founders@usemagik.com](mailto:founders@usemagik.com) for more information, grab time for a demo [here](https://calendly.com/danielmagik), and check out our [website](https://www.usemagik.com/).",
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        "title": "Subsets – The AI retention co-pilot for subscription businesses",
        "tagline": "We help consumer subscription businesses improve retention and make subscribers stay longer.",
        "body": "⌛️ **TL;DR**: Subsets makes it simple to understand, engage, and retain subscribers by enabling personalized and proven retention initiatives based on AI. Our solution helps leading subscription businesses increase CLV by +20% and extend subscriber lifetime up to 6 months.\n\nHi everyone! We are Oliver, Martin, Matias, and Nikolai - the co-founders of [Subsets](http://www.subsets.com).\n\n![](https://lh5.googleusercontent.com/Yuh27xND-dD2BFgP7TFtBnzQLiE540bgly9YdC26PzZ0LSep6C6K3t4sm4TnxdQWM2mKwH0ZxlWjaTzWgaeHm3chv-cOZa9_0L6Rv2GxjEM5_MFG0KnIVK3uA26Qj_N9pioUE949cuSSLTyD7VyvacY)\n\n_from left to right._\n\n**_Oliver_** _leads machine learning and AI development; graduate in machine learning, previously worked as an ML engineer._\n\n**_Martin_** heads the company; graduate in machine Learning, worked in management consulting for two years helping companies scale AI applications. \n\n**_Matias_** carries engineering at Subsets; CS graduate, software engineer in both venture scale-up and big tech (Amazon and Microsoft). \n\n**_Nikolai_** _drives growth and operations; experience with growth (ABM & marketing automation) and revenue operations at a fast growing SaaS scale-up._\n\n**🫠 The Problem**\n\n* Healthy consumer subscription businesses lose 20-40% of their subscribers annually\n* Think about a subscription you have personally - subscribers are flooded with impersonal and irrelevant information which does not encourage active engagement\n* CRM teams do not have solutions available to figure out what the subscriber needs right now to make the most out of their subscription\n* Current AI retention solutions are built for engineers, not commercial people\n\n**💡 The Solution**\n\n_Subsets is The AI retention co-pilot for subscription businesses_\n\nWe enable CRM teams to understand, engage, and retain subscribers by enabling personalized and proven retention initiatives based on AI. Initiatives that work get automated and run continuously on dynamic subscriber audiences. By knowing what initiatives work across different subscription businesses, Subsets can recommend initiatives that give ROI fast.\n\n_Understand, engage, retain by learning from experimentation_\n\n![](https://lh4.googleusercontent.com/m_beqEsY3ABmu53JrkAj5YYaHcCNvJBwRDmlGqS6ofA6PLJecveNU8n5u0-_nUQ1fMHRmXyuzcsOdPtletoYUnsOgTyIEMvfVYmpUxzTEay1BEgMRvFmOYeRCpn9hXhU-Gu_jFqq74HuzZa6xaj6FLk)\n\n![](https://lh6.googleusercontent.com/ZzbJxXa23lKZAWO1Wioh6UHlU834Sf9__lovSz1ZxjZOaDSwEpwLFwVHGJoV0Xs1TeTRRb-Lf4vIxWEHNGy7CtD5zZWlBKhZvduP2kkYt98pobuvi078zfgZbgfokIfUaSK-mNY6kNo54Se7woMtjj4)\n\n![](https://lh5.googleusercontent.com/YnhYcAnQdgkZlMn_tzyB2QyHZkQBcv2sIHcxO3vLat6IPP602dPNlUmVHcujl7erjzHRk1syzYhPzMdu4IE1bF2kS_5m_6LXaRCzRAojnAItcCXvX8piINPg2KzOLaSVLtp4tEB8mYFI4qUkyhRuqBM)\n\nOur solution helps leading subscription businesses increase CLV by +20% and extend subscriber lifetime up to 6 months.\n\n**🙌 Our Ask:** Intros to consumer subscription businesses\n\n* **Users:** If you know anyone who works in consumer-focused subscription businesses, we would like to talk to them and share what we are building! You can introduce us at [martin.johnsen@subsets.ai](mailto:martin.johnsen@subsets.ai)\n* **Pilots:** If you are interested in using Subsets, feel free to sign up on [www.subsets.com](http://www.subsets.com) or reach out directly to the founders at [founders@subsets.com](mailto:founders@subsets.com)\n* Follow [Subsets on LinkedIn](https://www.linkedin.com/company/subsets/) if you find it interesting\n\n \n\nThanks a lot for reading!",
        "url": "https://www.ycombinator.com/launches/J1P-subsets-the-ai-retention-co-pilot-for-subscription-businesses",
        "votes": 34,
        "created_at": "2023-07-17T03:32:48.291Z"
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        "full_name": "Yulong Liu",
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    "one_liner": "Manage a swarm of AI agents to get real work done",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1687896796,
    "tags": [
      "Generative AI",
      "SaaS",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/spine-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/spine-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/spine-ai",
    "x_url": "https://x.com/Spine_AI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/spine-ai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7eba747c12d79722f933dd297d83341ffec8d94c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1222057,
        "full_name": "Akshay Budhkar",
        "title": "Founder",
        "founder_bio": "Founder and CEO at Spine AI. Previously @ Georgian Partners (Helped 40+ B2B SaaS, led Gen AI & 5 Applied research initiatives, released a few open-source toolkits to help companies at scale), Scribd (YC S06) and FarmLogs (YC W12). Did Gen AI in my Masters @ UofT before it was cool :)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/akshay-budhkar-06259041",
        "x_url": "https://twitter.com/BudhkarAkshay",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36017de5313c6c0482668e1e791c09cae991cb2d.jpg"
      },
      {
        "user_id": 1362282,
        "full_name": "Ashwin Venkatesh Raman",
        "title": "Founder",
        "founder_bio": "Founder and CTO at Spine AI. Previously at Instacart, AWS, Alexa, Nvidia and UWaterloo.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/avraman",
        "x_url": "https://x.com/AshwinVRaman",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d00e8ab81c85a4f39c47f6cd664b83058608d17c.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 108332,
        "title": "Medley: Give Claude Code missions, not just tasks",
        "tagline": "Medley is a free Claude Code plugin for work bigger than one session. Type /mission to turn an outcome into a live dependency graph, coordinate Claude Code and Codex workers, review the assembled result, and keep going.",
        "body": "Hey YC! 👋 We're Akshay and Ashwin, and we're building Medley.\n\nYou type **_/mission_** and give it the outcome, the budget, and the constraints. Medley builds a live dependency graph, coordinates Claude Code and Codex workers, reviews what comes back, and keeps going when execution reveals more work. It's free and runs on the subscriptions and API access you already have.\n\n<https://youtu.be/xe7bj3b5Aw0>\n\n## **❌ The Problem**\n\nCoding agents got good at bounded tasks. Once a job outgrows one session, you become the harness. You break the work into prompts, move context between agents, review outputs, and decide what happens next. There's no shared definition of done, so \"finished\" just means \"looks finished.\"\n\n## **🛠 Our Solution**\n\n/mission takes on that orchestration. Three things sit between your outcome and the models:\n\n* **A contract.** Before any work starts, Medley sets the objective, the acceptance criteria, the constraints and budget, and the conditions that should make it hold or stop. That's what \"done\" gets measured against later.\n* **A live graph.** Medley doesn't write one giant plan upfront or spawn a swarm by default. It plans the next useful set of steps, runs them, reviews what came back, and updates what should happen next. Each node carries a brief, its dependencies, and a verification target. Sometimes one worker should carry a tightly coupled job end to end; when work is genuinely independent, Medley runs it in parallel. Work is routed across Claude Code and Codex workers - and with your own OpenRouter key, Codex workers can run models like Kimi and GLM.\n* **An acceptance stage.** When a batch lands, a separate reviewer role inspects the outputs and changed files, runs the contract's verify commands, and decides whether the evidence satisfies the contract - not whether the work merely looks finished. If it doesn't, the mission replans.\n\nYou can watch and steer the mission in your browser. Anything that needs your judgment or approval - publishing, sending outbound, spending, contacting people - lands in the attention queue. Everything else keeps moving. \n\n## **📊 Why This Works**\n\nThe model is only the local capability. The harness decides where to apply it - the contract fixes the target, the graph splits the work, routing matches each task to a worker, and an independent acceptance stage runs the real verify commands and replans when the contract isn't met.\n\nBefore launch, we pressure-tested a benchmark-specialized version of the same architecture on four complete public benchmarks: 93.25% on Terminal-Bench 2.1, 71.37 on HealthBench Professional, 93.24% on ViBench, and 60.98% on DrugDiscoveryBench. Those are the highest reported results on each, and they span coding, healthcare, and drug discovery.\n\nNo new foundation model. The gains came from how the work was decomposed, routed, carried across contexts, and reviewed.\n\n![uploaded image](/media/?type=post&id=108332&key=user_uploads/1362282/3af52f57-057a-475d-8bc4-ec0b1531a504)\n\nFull methodology and results are[ on our blog](https://www.medley.sh/blog/the-harness-is-the-capability-multiplier).\n\n## **🙏 Our Ask**\n\n**Try it.** Medley is free on Mac. Install it from Claude Code:\n\n```\n/plugin marketplace add Spine-AI/medley\n/plugin install medley\n/reload-plugins\n```\n\nThen run /mission.[ ](http://medley.sh/)[medley.sh](http://medley.sh)\n\n**Tell us what you think.** We're shaping the product around how people actually use it. Email [support@getspine.ai](mailto:support@getspine.ai) with what you tried, where it worked, and where it broke - and where you'd want Medley to keep going versus stop and ask.",
        "url": "https://www.ycombinator.com/launches/SBI-medley-give-claude-code-missions-not-just-tasks",
        "votes": 8,
        "created_at": "2026-07-29T17:35:57.374Z"
      },
      {
        "id": 98705,
        "title": "Spine Swarm: Your AI Team for Everything Beyond Code",
        "tagline": "Spine gives you a team of AI agents that work together on a visual canvas to complete complex projects: research, analysis, financial models, prototypes, decks, and more.",
        "body": "\nHey YC! 👋 We're Akshay and Ashwin, and we're building Spine Swarm.\n\n**TL;DR**\n\nYou describe a project. A team of AI agents spins up, works in parallel on a visual canvas, and delivers finished outputs: market reports, financial models, slide decks, interactive prototypes. Free to get started, no setup needed.\n\n**Ask:** Sign up and try it at[ ](https://www.getspine.ai/)[www.getspine.ai](http://www.getspine.ai). We'd love to hear what you build — drop us a note at [founders@getspine.ai](mailto:founders@getspine.ai).\n\n<https://youtu.be/vylx9rzC388>\n\n## **❌ The Problem**\n\nAI agents for coding have crossed a threshold. Tools like Cursor and Claude Code let engineers describe a project and come back to finished, working code. That experience doesn't exist yet for the rest of the work that drives a company forward.\n\nAs coding gets increasingly automated, the bottleneck is moving upstream: strategy documents, competitive analysis, financial modeling, sales collateral, market research, SEO audits, rapid prototyping. These are multi-hour, multi-step projects that require pulling information from many sources, structuring it, and producing polished output.\n\nToday's AI tools treat this kind of work as a conversation. You get a chat thread, local file management, and one model doing everything sequentially. For simple tasks that works fine. But for complex projects, the single-chat paradigm breaks down. You end up managing the AI instead of letting it manage the work.\n\nWe've been building at this intersection for 3 years. Last year we launched Spine Canvas, a visual workspace for orchestrating AI models. Swarm is the next step: the canvas now has autonomous agents that can take on entire projects from start to finish.\n\n## **🛠 Our Solution**\n\nSpine Swarm gives you a team of AI agents that work together on a visual canvas. You describe the project, and Spine spins up specialized agents in parallel, each handling a different part of the work. You can watch them execute in real time, inspect each artifact as it's created, and edit anything in place.\n\n* **Multi-agent execution:** Spine orchestrates a team of agents across your project. For a competitive analysis, one agent researches market data, another structures the findings, another builds the slide deck. They work simultaneously, not sequentially, and can run autonomously for 80+ minutes on large projects.\n* **Intelligent model selection:** We route between 300+ models, picking the best one for each step and ensembling multiple models to override any single model's biases. You don't configure any of this.\n* **Visual canvas:** Every artifact your agents produce appears on a shared canvas where you can inspect, compare, edit, and branch. No chat windows, no file systems.\n\nEverything Spine builds is downloadable and hosted at a shareable link. Just send your team the URL.\n\n## **📊 Why This Works**\n\nA common question we hear: \"You're using the same models everyone else has access to. Why would the output be better?\"\n\nWe recently scored **87.6% on Google DeepMind's DeepSearchQA**, a benchmark that measures how well AI answers complex research questions requiring multi-step reasoning across sources:\n\n![uploaded image](/media/?type=post&id=98705&key=user_uploads/1362282/fb8a5039-8780-455d-abc4-7f3da613aa7b)\n\nThree things drive this:\n\n* **Model routing and ensembling:** Spine selects the best model from 300+ options for each step and ensembles multiple models to override any single model's biases or blind spots.\n* **Orchestration:** How you decompose a complex task, coordinate agents across steps, and manage handoffs between them matters as much as the models themselves.\n* **Intelligent canvas:** Agents work on a shared canvas where they can read each other's outputs, build on previous steps, and assemble coherent deliverables. This also means every step is fully auditable, so you can trace how agents arrived at their conclusions and verify their reasoning.\n\nRead more about our approach and the full benchmark results[ on our blog](https://blog.getspine.ai/spine-swarm-hits-1-on-gaia-level-3-and-google-deepmind-deepsearchqa/).\n\n## **🚀 Tasks Worth Trying**\n\n* \"_Audit \\[your website URL\\] and produce a full SEO analysis, competitive landscape, and a prioritized growth roadmap with a slide deck._\" You'll see agents browsing your site, researching competitors, and assembling deliverables simultaneously.\n* \"_I'm preparing to fundraise. Here are my company details: \\[paste\\]. Build me a pitch deck, competitive landscape with market sizing, a financial model, and personalized outreach emails for target investors._\"\n* \"_Here's a product idea: \\[describe it\\]. Generate three different interactive prototypes and landing pages exploring different design directions, alongside a PRD and go-to-market strategy._\"\n\n## **🙏 Our Ask**\n\n* **Try it:** Sign up at[ ](https://www.getspine.ai/)[www.getspine.ai](http://www.getspine.ai) and run one of the tasks above. It's free to get started, no credit card required.\n* **Tell us what you build:** We're actively shaping the product around how people actually use it. Email us at [founders@getspine.ai](mailto:founders@getspine.ai) with what you tried and how it went.\n\n**Share this post** if you know founders, operators, or team leads drowning in the strategic and analytical work that's piling up as code writes itself.",
        "url": "https://www.ycombinator.com/launches/Pg1-spine-swarm-your-ai-team-for-everything-beyond-code",
        "votes": 24,
        "created_at": "2026-03-12T15:09:28.483Z"
      },
      {
        "id": 94642,
        "title": "Spine Canvas: Unlimited Visual Workspace for AI Thinking",
        "tagline": "Think beyond chat. Collaborate visually across 300+ AI models with branching, parallel, and contextual workflows.",
        "body": "tl;dr: Chat is great for Q&A, but real work isn’t linear.\n\n**Spine Canvas** is an unlimited, visual AI workspace that lets you orchestrate 300+ models with a single subscription, think in blocks (Chat, Deep Research, Memo, Image, Slides), branch safely, run in parallel, and keep explicit context across everything.\n\nGet started for free:[ ](https://www.getspine.ai/)https://www.getspine.ai\n\nhttps://www.youtube.com/watch?v=OBq6dDQlO5w \n\n### **❌ The Problem**\n\nMost AI tools force thinking into a chat thread. That breaks down for real work:\n\n* **Superficial and linear:** useful for one-off answers, weak for exploration and synthesis\n* **Context evaporates:** sources get buried; you can’t see what informed which step\n* **No safe branching:** testing alternatives means losing your original path (or forking tabs)\n* **No parallelism:** ideas wait in line; you can’t spin up multiple streams at once\n* **Tool sprawl:** one app for research, another for writing, another for images — context gets lost between multiple AI subscriptions\n\nIf you’re doing market/competitive research, strategy, content systems, or product planning, you need an environment that reflects how thinking actually happens: exploratory, non-linear, and iterative.\n\n---\n\n### **💡 Our Solution: Canvas, Not Chat**\n\nSpine Canvas is a visual workspace where your ideas are blocks connected by explicit context. You can see, direct, branch, and re-run your thinking — across hundreds of models — without losing your train of thought.\n\n#### What you can do today:\n\n**Orchestrate 300+ models with a single subscription**\n\nGPT‑5, Claude, Gemini, Qwen, Flux, Nano Banana, and more — pick the right model per step and switch mid‑flow without losing context.\n\n**Think in blocks, not threads**\n\nChat, Prompt, Deep Research, Memo, Image, Slides — each block has an explicit role and visual inputs/outputs, so chains stay modular and interpretable.\n\n![uploaded image](/media/?type=post&id=94642&key=user_uploads/1222057/d6578fed-e2e5-4e9d-a749-a58b8ab47ccd)\n\n**Organize and (explicitly) utilize all your content in a single workspace**\n\nPaste or drop in PDFs, YouTube links, webpages, and even past LLM chats. Wire them into any block and control exactly what each step uses.\n\n![uploaded image](/media/?type=post&id=94642&key=user_uploads/1222057/1e4420c0-d1a2-46fa-82db-cdf54eb15827)\n\n**Branch safely and compare**\n\nExplore alternatives without corrupting your original path. Keep versions side‑by‑side and merge insights when you’re ready.\n\n**Run in parallel**\n\nTake a list (competitors, themes, tasks) and spin out multiple research streams, drafts, or visuals at once.\n\n**Re‑run and evolve**\n\nUpdate one block and cascade improvements through an entire branch. Iteration becomes automatic and reproducible.\n\n![uploaded image](/media/?type=post&id=94642&key=user_uploads/1222057/47204045-5cb7-477e-afc9-55a447f0e165)\n\nOur public roadmap:[ app.getspine.ai/roadmap](https://app.getspine.ai/roadmap)\n\n### **💼 Real Canvases Teams Are Building**\n\n* Market deep‑dives that flow into competitor profiles, battlecards, and executive memos — in minutes, not days\n* Content engines that turn one source into outlines, drafts, and platform‑ready assets (with visuals)\n* Founder/product strategy rooms mapping interviews (YouTube + PDFs) → insights → counterpoints → product bets → launch plans\n* Creative labs exploring concepts, visual directions, and brand systems\n* Learning hubs with curated sources, summaries, and living notes\n\nExplore our gallery:[ https://app.getspine.ai/gallery](https://app.getspine.ai/gallery)\n\n### **⚙️ Why This Matters**\n\n* **Transparency:** See what each block knows — no black-box memory.\n* **Control:** Direct sources by domain, date, or type; include your own docs and past chats.\n* **Speed:** Complex, multi-step work finishes in minutes and stays repeatable.\n* **Flexibility:** Model-agnostic orchestration keeps your workflow stable as models evolve.\n* **Complete**: Do everything from research to generating presentation slides, images, copy drafts, all without switching tools.\n\nChat works for Q&A. **Canvas is for thinking.**\n\n### **🤝 Ask**\n\n* Try using a canvas for thinking instead of linear chat threads – build one real workflow (research → memo, content engine, or strategy room) and tell us what clicked.\n* Share with teams who live in research, strategy, content, product or learnOps – we’re eager to add more templates based on your feedback.\n* YC community: we’re always happy to chat about getting the best thinking out of your AI models — visually for individual workflows, and structurally through company-wide templates.\n\n**Get started for free:**[ ](https://www.getspine.ai)[getspine.ai](http://getspine.ai)\n\n**Join the community:**[ discord.gg/KuHzF6zBPs](https://discord.gg/KuHzF6zBPs)\n\n**Book a chat:**[ calendly.com/intro-getspine/intro](https://calendly.com/intro-getspine/intro)\n\n\\\nThe future of human–AI collaboration is visual, adaptive, and unlimited.",
        "url": "https://www.ycombinator.com/launches/OcU-spine-canvas-unlimited-visual-workspace-for-ai-thinking",
        "votes": 29,
        "created_at": "2025-10-14T19:07:02.223Z"
      },
      {
        "id": 90394,
        "title": "Spine Research: Deep research done better",
        "tagline": "Iterative deep research reports you can actually use.",
        "body": "**tl;dr** Spine Research searches through **_over 3x more sources 5x faster than ChatGPT Deep Research while keeping you in control_**. With a built-in full-text editor, you can iteratively guide the research, dive deeper into topics, and build and share reports that are actually useful.\n\nhttps://www.youtube.com/watch?v=cabKW-B9Ung\n\n# ❌ **The Problem**\n\n“Deep research” with AI often isn’t comprehensive, collaborative or controlled. If you’re relying on research for critical decisions, you’ve probably run up against the limitations of current tools:\n\n* **Superficial Overviews:** Most AI tools deliver surface-level summaries. While a starting point, they rarely deliver the nuanced, comprehensive understanding needed for a true competitive edge or complex problem-solving.\n* **Static Reports, Not Evolving Understanding:** Real insight comes from asking new questions based on what you're learning, and using that to inform where you need to go next. What if the initial research misses the mark, or you want to explore a specific avenue further? You're often stuck waiting 10-15+ minutes for a complete do-over, losing valuable context and any useful initial findings. Current UX isn't built for the way human understanding evolves – through continuous _refinement_ and building upon prior knowledge.\n* **Lack of Meaningful Control:** Struggling to direct AI to your trusted websites, specific authors, or crucial internal documents? Or to exclude irrelevant noise? You end up sifting through low-quality information, wasting time and effort, because you can't effectively steer the research. It's hard to restrict research to just research papers, recent news or local government websites.\n\n For critical decision-making and professional analysis, today's AI \"deep research\" often feels frustratingly superficial, rigid, and disconnected from your own expertise.\n\n# 💡 **Our Solution**\n\nSpine AI rapidly generates comprehensive research reports by synthesizing insights from hundreds of websites, academic papers, news articles, and private documents—delivering deeper, more accurate understanding in a fraction of the time taken by ChatGPT's Deep Research. \n\nYou're in full control to iteratively define the scope, depth, and breadth of analysis to perfectly suit your needs.\n\n1. **Guide your process from the start:**\\\n   Start with your prompt and guide the research process immediately. Spine AI generates an initial outline you can quickly edit. Refine its scope, focus, or sources in minutes, ensuring precise alignment _before_ full report generation, so you don’t have to wait 15 minutes to realize you forgot to include a key detail about scope.\n\n   ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcL5A3u_PiTNIcT2zA_EuBzfnd1KkxzSX96-X_IXZip1X55JeOpSlewO6VSh2UnshndNmMQ0CIQLX2AJXZnl63DSKevcmLfEEZbmYFx4kNp4hSAMh6O8fSbOreW-syDJtskuGvYWg?key=Y1LxsXqmD3SyMDO0vvbfTw)\n\n2. **Control the process and build your understanding iteratively:**\n   * **Breadth of sources:** When searching the open web, Spine AI accesses over 3x more sources than ChatGPT’s deep research, giving you a more comprehensive view with detailed citations out of the box. You can also exclude irrelevant domains, keeping unreliable sources out of your reports.\n   * **Focused discovery:** Direct Spine AI to focus on particular types of sources (like news, financial reports, or research papers), specific websites, and set publication timeframes, to ensure the most relevant information.\n   * **Leverage your own sources:** Upload and research your own private documents—proprietary reports, project files, spreadsheets, slide decks—integrating your internal knowledge with external discovery.\n   * **Model Agnostic:** Maintain flexibility by choosing the LLM (including OpenAI, Claude, and Gemini models) that best suits your current needs or preferences. Your core research workflow remains stable, even as individual model capabilities evolve.\n\n   ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcT9SBLuKPWhEOCBukznBQTa76nsdbme7j2Tid7-TYTDxW-fxfMF37AHn7GwxQBR-b5E1rxcu9GWpjbdKWLgcoJV7q9SMyH0-ToypIKq63YfCWSBg1BTjXOle7IUb4h_GZ-DaGjJw?key=Y1LxsXqmD3SyMDO0vvbfTw)\n\n3. **Directly add your expertise:**\\\n   Spine AI isn't just about AI-generated content; it's a dynamic working document. You can type directly into your research, add your own notes, edit the generated text, and incorporate your unique context and analysis alongside the AI's findings. Close the gap between just another research doc to organize, and actually creating a usable report, or project doc.\n\n# 🤝 **The Ask**\n\n**Put us to the test.**\n\nNeed to build quick expertise on a new topic or simplify your research process?. Find out about how the [recent executive order on drug pricing could shift the market](https://research.getspine.ai/reports/62ab8a56-e0d5-4380-a991-18bf4fc2ffd0?utm_campaign=bookface), [what US-China trade negotiations could mean for startups and VC](https://research.getspine.ai/reports/0ee2928d-e0c9-4aea-b277-45f347d2b07d?utm_campaign=bookface), or [where Stripe is sitting in the market](https://research.getspine.ai/reports/105e8d40-36fc-4092-8555-853cf5865b40?utm_campaign=bookface). Also great for getting a handle on the latest research ([how much do we really know about ozempic?](https://research.getspine.ai/reports/ff4177f6-105f-4954-9fdd-a50261beae32?utm_campaign=bookface)), or whatever else you have questions about.\n\n**Try us out for free!**\n\nAnd with the YC promo code (YCLAUNCH), you can get $25 off our pro plans.\n\nKnow a founder, investor, analyst, or tech enthusiast who needs better research tools? Let them know about Spine AI. **Share with deep research power users**, and see if they don’t want to make the switch.",
        "url": "https://www.ycombinator.com/launches/NVy-spine-research-deep-research-done-better",
        "votes": 56,
        "created_at": "2025-05-14T16:35:06.718Z"
      },
      {
        "id": 86064,
        "title": "Spine AI – The Multi-Modal AI Analyst Platform for Reliable Insights",
        "tagline": "Simplifying data exploration at scale with AI analysts tailored to your business context",
        "body": "# Tl;dr\n\nAccessing and synthesizing data is a challenge, with existing tools requiring too much effort and expertise.\n\n**Enter Spine**: An AI-powered data platform built for decision-makers that handles your data in any format. Teach it your business context, to get reliable answers from databases, documents, and websearch. Gather your insights in customizable reports that automate multi-modal analysis and keep insights traceable.\n\nTo celebrate F24 Demo Day, **we’re offering free access** to a YC dataset in Spine, giving investors and observers a deep dive into batch F24’s companies, founders, and opportunities.\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/425f4b5e-1eb5-48a6-bf02-25e69412564d)\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/365e8fa7-e9c5-4489-adb3-281393120488)\n\n# The problem\n\nThere is no shortage of data and information, or reasons to access it. Improving operations, identifying the most successful initiatives, or clarifying key drivers of revenue. But accessing and synthesizing this information from various sources can be an uphill battle.\n\nMany tools available for working with data make it difficult to get to the right information without significant time and effort. Technical experts often have to unlock access for decision makers, and even then, critical details locked in documents, slide decks, or PDFs are hard to uncover and integrate effectively. \n\nWhile platforms like ChatGPT, Claude, and Gemini offer “chat with your data” functionality—such as answering questions about uploaded spreadsheets or generating text-to-SQL queries—they don’t go far enough. None of these solutions offer an end to end solution that’s suitable for scalable use.\n\n**You need to already have the right data, in a clean format, and not too much.** The big LLM providers can find some new information for you, but it can’t give you structured data at scale, and it’s not up to date.\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/243f0c39-bd31-4246-9230-a330465ccdd1)\n\n**It’s not enough to just do text to SQL.** It can speed up querying, but there’s a lot of business context that needs to be applied to make answers accurate and useful, and Custom GPTs don’t cut it. \n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/7f42be7d-d2d5-434c-8854-37792f39dc9d)\n\n**There’s no good way to update information, add more data, or deal with multiple formats and sources at the same time.** People often don’t know the best place to find the information they are looking for, and most LLMs can’t help with that at scale.\n\n**You can’t easily collect the insights you’ve generated from LLMs, share them, or re-trace your steps if there are questions about the source.** If you want to replicate a similar process for your analysis there’s no straightforward way, especially if it involves multi-modal data.\n\nThe major BI and analytics tools solve some of these problems, but they don’t really deliver on conversational functionality, and definitely don’t support multi-modality.\n\nWhich is why we’ve built a better way.\n\n# The solution\n\nSpine is a multi-modal AI analyst platform designed for decision-makers, delivering an end to end solution which includes:\n\n**Explore and enrich data**\n\n* Either start from scratch or add on to your existing data. Combine structured data, documents, and websearch for a unified view.\n* Pull in data for competitive analysis, market research, benchmarking and more.\n\n**Domain knowledge management customized for your use case, and ongoing evaluations for reliable updates**\n\n* Our platform makes it possible to adjust, and test the integration of domain knowledge at scale, so you know updates work and are an improvement over what came before. \n* We generate 1000s of samples for each of our analysts, capturing issues so we can solve them, and know objectively that our changes improve performance.\n\n**Integrations for your existing data sources**\n\n* We work with data of all types, integrating with platforms like Google Drive, BigQuery and Snowflake, and industry specific tools like iLevel. Any tool that has an API can be set up.\n\n**Transparent answers for users**\n\n* Our AI analysts always show their work, so users can verify where answers are coming from and how they were created.\n* If the analyst finds a question it’s not confident in answering, it notifies the user and gives them the option to submit to a human to verify its work.\n\n**Customizable reporting and repeatable analysis**\n\n* Full control and flexibility in reports and dashboards. Insights can be added directly from the chat, gathering information from structured datasets and documents.\n* Create templates to automate multi-modal analysis, enabling you to apply the same framework seamlessly across multiple entities, such as different companies or similar data sets.\n\n**In honour of Demo Day**, we’ve put together a [free preview of Spine](https://yc.getspine.ai/sign-up) with a dataset for batch F24’s companies and founders (plus as a bonus, data on all YC companies). \n\nIf you’re an investor:\n\n* Don’t miss out on discovering the best of the best. You can get a comprehensive overview of who’s in this batch, what they’re doing, and which companies are most similar, and figure out which are best suited for your investment thesis.\n* Track the companies you’re interested in, and create a more focused view to compare them.\n* Upload pitch decks and documents from founders to enrich the dataset we’ve given you, and pull key insights from them, such as traction, TAM estimates and GTM strategy.\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/517013a9-2a07-4c8b-abef-0ea809e7ad5c)\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/47430f02-c20c-42d8-9376-8591fc3d9058)\n\n# The ask\n\n**Try this free preview of Spine for YC F24 Demo Day!**\n\n[Sign up](https://yc.getspine.ai/sign-up) and learn about the companies launching with this batch (or explore all companies in the YC directory!)\n\n**Reach out if you’re interested in the full version of Spine**\n\nWe’ve worked with a number of investors in the VC space, but we’ve also created AI analysts for market research, sales data, and user facing experiences for B2B SaaS products.\n\nIf you think you could be doing more with your data, [reach out.](https://www.getspine.ai/talk-to-us)\n\n**Spread the word**\n\nIf you like what you see, share it with someone you think would find it useful. \\\nShare this post, and follow us on [LinkedIn](https://www.linkedin.com/company/95072305/admin/feed/posts/) and [Twitter](https://twitter.com/Spine_AI).",
        "url": "https://www.ycombinator.com/launches/MO8-spine-ai-the-multi-modal-ai-analyst-platform-for-reliable-insights",
        "votes": 32,
        "created_at": "2024-12-05T15:20:32.109Z"
      },
      {
        "id": 82328,
        "title": "Spine AI - Reliable AI data analysts that know your business",
        "tagline": "Custom AI analysts, trained on your business context, so you can ask truly plain language data questions and make informed decisions frictionlessly",
        "body": "## tl;dr\n\nSpine creates reliable AI analysts that make it easy to get the right data to drive decisions. We capture and embed your business context, to enable real plain language data questions. Instead of spending time struggling with inflexible dashboards, or translating questions to queries, just ask questions and get answers. Empower internal decision makers, or your customers, with interface options that integrate with existing workflows.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdtqKjuSuQpHE3TjAm_itXPgRLQtQgySxCTM0ReLQsAw3Gp_7wvbUIcGzUlUdy_WnNHsxizF0yn7oyA3Eb6ompQWp1RItXp80w1zaZWFZoAZgUQ4-Yk36b65S3_8LSTE5QTYAdgjqKrhkkzSBg6ZF45FUg?key=nI0vqYTeqq8Yopi3is-LAg)\n\n# The problem\n\nFrom having built over 200 copilots for companies and having processed more than 100k user queries here are some of our key learnings:\n\n* Analytics and business intelligence are critical to running any organization. They allow leaders to understand what’s working, what’s not, and where they can find new opportunities.\n* Most existing BI tools are inflexible and technical. To find answers to novel questions requires knowledge of the data model, or a BI specific query language.\n* In practice, it's not always obvious what you'll need to know to respond to an evolving situation, or what new questions your data will raise. Static reports and dashboards create dead ends. You can get stuck waiting for someone from the data team to be available, or having to act on best guesses.\n* And it's not just internal decision makers who face these challenges. Your customers can only interact with their application data through:\n  * static dashboards that require engineering teams to build,\n  * custom reports your support teams and analysts put together, and/or\n  * data exports that require expertise to dissect\n* While the extraction of information from unstructured sources has evolved, handling structured data remains a challenge:\n  * Beyond accurately deciphering user intent, structured data often comes with messy table schemas and unwritten business context, for which there are no established methods of embedding in the models.\n  * Simply having models generate complex SQL and/or code to process the data makes the execution less transparent, flexible and reliable.\n  * Isolating data across multiple tenants and user access controls remains a barrier in making this a customer facing feature.\n\n## The solution\n\nWe build custom AI analysts that allow any user to ask plain language questions about their data, and get reliable answers.\n\n**Plain language questions and natural exploration**\n\nWith the chat interface, users can easily explore their data, asking questions in their own words, instead of \"translating them\" to a formal query. When the results raise new questions, just ask them. No searching for the right report, or getting stuck at a deadend in your dashboard.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXezHViIBc3TQimN4FoYsmGAuqFJ_lFgAQU8rTAGqPTGqoQmaN1l_FIxEwl8RvNWwRNJDQrVqL3w1ur0ziFjU069dzbYTwvorccXTDYPsPjD4CSqnRUMWnu4s89MT5Lgy-XfA3dqZJ5XunVddCXzeh97aw?key=nI0vqYTeqq8Yopi3is-LAg)\n\n**Revisit crucial insights**\n\nOnce you’ve found insights in your data, it’s easy to come back to. Get regular notifications for key questions, collect insights into shareable reports, or add them to flexible dashboards.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXefxA1bWXpTkzW8hQBEekKMhZ4W3KPKIdetddq-1FWALX804CujEpigd2dQJjFVsEYVqE8MTsMRRzJ9mB6ahQkKQ7Rpxatwyp8AUgaVdLWKz0B8neUCiXXWM6uQbQWQXeFOwBBVHNETGCQGvQa5U1TJUrc?key=nI0vqYTeqq8Yopi3is-LAg)\n\n**Transparent and reliable answers**\n\nEven on a single table dataset Spine’s AI analyst performs 15x better than GPT-4o out of the box.\n\nRather than leveraging models to generate complex SQL or code (or find answers from the data directly), our solution leverages a proprietary Data Processing Unit (DPU) that comprises a collection of refined modules.\n\nThe DPU enables us to:\n\n* have individually tested and schema/domain fine-tuned modules that work at scale\n* react to the data and modify the operations we take to get the answer\n* explain the steps taken by the AI in a simple human readable manner\n\nDuring the customer onboarding process, we capture and embed the business context and the schema understanding into the DPU modules. Additionally we build and maintain data and schema-specific semantic layers, across tables, which makes it possible for us to accurately interpret and handle natural language questions across multiple tables with over millions of rows each.\n\nFinally, a combination of automated and human evaluations give us an objective way of measuring performance — both before and after we deploy the analyst.\n\n**Diverse use cases**\n\nWe are able to support use cases across diverse industries and user bases by systematically gathering domain specific knowledge from our customers, and automatically inferring relevant data characteristics. Whether you’re in finance, retail, healthcare, telecoms, manufacturing, or any other industry, we can create an AI analyst for your business.\n\n**_Sales analyst_**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdfoY8qAC_h6o37VqJhc9laUNLLsm2WoauY11Wzkq5Xn30kUo3sOqSGh5QQh8Z0In23MiAu5rTmss7DsZEFkpNUqwbVjH8-7lkmjcQTWE03g1U_Ce7bU_J5Tnaa34Om9RUW7onhyfiMfZBYYDhIg2bv82s?key=nI0vqYTeqq8Yopi3is-LAg)\n\nUnderstand what outreach activities are getting attention, with who. Dig into team member performance, email deliverability and more, to better understand what’s effective and what’s not performing.\n\n**_eCommerce platform analyst_**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdmVxwj3U-ohPX90hds_V_0qkRzBioVUgAOa7mZn0dJb3Bds-NSWsJAI2bfrQSnwVkAlwQ9n_KxmSXWXouOgqy4Tof9-GabGM6CC36-DMWTw53EJt8TuP5AYKCIJhxhWsXsU_aO9V0ZimmY5AW4FzW6Gg?key=nI0vqYTeqq8Yopi3is-LAg)\n\nGain insights into which products are selling the most and why. Analyze customer behavior, optimize inventory management, and uncover trends in purchase patterns to maximize your sales potential.\n\n**_ERP system analyst_**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXd_waVQSpbeRpOB3ZZjq_YGuu4scesyVCwj7txYLLoy6oyIzVUoSxEKyDuvkkjnXfG3JekB8U5Oq_I_wsbfAQSxLtdNw2QHrm6Yu9HQfmNQ5lMv7fLm1Sduavs0PyO3Fie2eqHih2I4amlPDb8exr_dy3I?key=nI0vqYTeqq8Yopi3is-LAg)\n\nKeep projects on track by monitoring task progress, timelines, and budget adherence. Evaluate project performance, identify risks, and ensure timely delivery of project milestones.\n\n**The power and flexibility of AI without needing a technical team**\n\nYou don’t need your own AI team. Have your custom analyst up and running in the next 30 days, and leave the upkeep to us. Monitor and tune the analyst’s behavior over time with our admin panel.\n\n# About us\n\nWe are Akshay and Ashwin – the co-founders of Spine AI 👋. We've been friends for over a decade, with our shared journey beginning at the University of Waterloo. Our interest in machine learning took root in an unlikely place – a building called _Spine_ at the Nanyang Technological University in Singapore during an exchange term.\n\nAnd in our first year we’ve grown! Across our team, we collectively collaborated with more than 45 enterprises, guiding them toward the next levels of AI maturity. We have more than 100+ citations in GenAI and patents in AI and data processing. Our team also has experience working at companies like Nvidia, Shopify, Instacart, Amazon, Epic Games as well as founding multiple YC companies.\n\n## The ask\n\n* If you need better access to insights within your organization, or want to empower your customers with their data, we'd love to [hear from you](https://www.getspine.ai/talk-to-us)!\n* First 10 companies that contact us after launch get to trial a free, fully functioning AI analyst for your data! (Just let us know you heard about us from YC)\n* Help us spread the word! Please share this post and join our journey by following us on [LinkedIn](https://www.linkedin.com/company/95072305/admin/feed/posts/) and [Twitter](https://twitter.com/Spine_AI).",
        "url": "https://www.ycombinator.com/launches/LPs-spine-ai-reliable-ai-data-analysts-that-know-your-business",
        "votes": 32,
        "created_at": "2024-07-22T20:55:24.459Z"
      },
      {
        "id": 73256,
        "title": "🚀 Spine AI – Propel your products forward with AI copilots",
        "tagline": "Spine AI’s platform helps you build a copilot for your product.",
        "body": "**_Tl;dr_**_: Spine AI simplifies the process of integrating AI copilots into your products. Now, complex tasks within products like JIRA, such as custom reporting or bulk updates, can be effortlessly managed. Simply have your users instruct our AI copilot and watch as it seamlessly executes your commands. Interested in the power of AI copilots for your products? We're just a message away!_\n\n![](https://lh3.googleusercontent.com/WbKO1Pu6llFXV2BkVDpIZq_OxQHZqlQkGdXmWfSfgo9d-OsXV5GsUxwJZCRRzuZnxKhkAAibbms9Hi-zyfyklPV7OTkwhabjFUWi7es3qMRaHL1VekA9vtQgboExpAf_oZXHyPt3RkAO7V-3_wq1ijE)\n\nHello everyone, we are Akshay and Ashwin – the co-founders of Spine AI 👋. We've been friends for over a decade, with our shared journey beginning at the University of Waterloo. Our interest in machine learning took root in an unlikely place – a building called _Spine_ at the Nanyang Technological University in Singapore during an exchange term.\n\nIn the past five years, we've collaborated with more than 45 enterprises, guiding them toward the next levels of AI maturity. This year, we've successfully integrated LLM-related technologies into over six companies, leading to a clear projected ROI. This journey has brought some key insights to light:\n\n* The gap between creating a text generation prototype with tools like OpenAI and deploying a value-adding product is significant.\n* Customer expectations are evolving, with [hybrid UI paradigms (command + intent)](https://www.nngroup.com/articles/ai-paradigm/) becoming increasingly prevalent.\n* To maximize their benefits, AI copilots must perform actions on users' behalf, saving time and creating new workflow possibilities. This is the core functionality of our Spine-powered copilots.\n\n### 💪 The Power of AI Copilots\n\n* AI copilots streamline complex UI workflows, morphing them into an intuitive, natural language-based interface.\n* Adding an AI copilot to B2B products is becoming table-stakes (as seen with [Shopify](https://twitter.com/tobi/status/1679114154756669441?s=20), [Microsoft](https://www.barrons.com/articles/microsoft-stock-ai-software-ad2baf04), [Notion](https://www.notion.so/product/ai), etc.) for companies that have the capacity to build them. At Spine AI, we're on a mission to democratize this.\n* When added to enterprise SaaS products, AI copilots have helped companies increase ARR by $1M. 💰\n* AI copilots enhance your product by adding an intelligence layer that directly connects users to backend APIs, documents, and databases, making previously challenging workflows easily implementable.\n\n![uploaded image](/media/?type=post&id=73256&key=user_uploads/1362282/06ca9a30-c100-4c04-87e3-64e7438b361d)\n\n### 💢 The Problem\n\n* Developing reliable AI copilots, which offer a wide range of functionalities, demands a significant investment of time and resources, requiring extensive AI and engineering expertise throughout the entire lifecycle.\n* Embedding diverse actions into the copilots, such as API calls, documentation updates, multi-modality, and authentication handling, can extend the development timeline beyond six months.\n* The addition of complex features, like custom reporting and integrations, can further prolong the development cycle, putting additional strain on already-packed roadmaps.\n\n### 🎯 The Solution\n\n* Enter Spine AI – the easiest way to build reliable AI copilots for your products. Our platform converts API docs, DB schemas, and multi-modal documents into fully operational AI copilots that integrate effortlessly with just a few lines of code.\n* During the setup process, each copilot is equipped with a custom orchestrator, trained to effectively transform user intents into concrete actions.\n* Maintain complete control over the product interface with the ability to customize the permitted actions, enabled workflows, and the copilot's response style to users.\n* Once integrated, the AI copilot becomes a superuser of your product – an indispensable assistant always at your users' disposal, enabling them to harness your product's full potential.\n\n![uploaded image](/media/?type=post&id=73256&key=user_uploads/1362282/43dd32fe-2473-482c-9da0-ab5577b8c551)\n\n### 🤝 Ask: How you can help\n\n* If you're a B2B company exploring ways to integrate AI copilots into your products effectively, we'd love to [hear from you](https://www.getspine.ai/)!\n* If you're unsure how Spine can streamline your complex workflows, drop us a note at [founders@getspine.ai](mailto:founders@getspine.ai)\n\nHelp us spread the word! Please share this post and join our journey by following us on [LinkedIn](https://www.linkedin.com/company/95072305/admin/feed/posts/) and [Twitter](https://twitter.com/Spine_AI).",
        "url": "https://www.ycombinator.com/launches/J3Y-spine-ai-propel-your-products-forward-with-ai-copilots",
        "votes": 63,
        "created_at": "2023-07-20T14:21:01.092Z"
      }
    ]
  },
  {
    "id": 28843,
    "name": "SID",
    "slug": "sid",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cac6ad037170806bce925f0d0ed9373eec18f576.png",
    "website": "https://www.sid.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "SID is an AI research center based in San Francisco. We train models that can retrieve and reason over any data source.",
    "one_liner": "AI research center for retrieval",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689093789,
    "tags": [
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sid",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sid.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sidai/",
    "x_url": "https://twitter.com/SID_AI",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/sidhq",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cac6ad037170806bce925f0d0ed9373eec18f576.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 1134710,
        "full_name": "Maximilian-David Rumpf",
        "title": "Founder",
        "founder_bio": "Max is the CEO of SID.ai. Previously, he was a researcher at ETH Zürich, where he worked on AI accelerator design with the professor who developed Google's TPU architecture. Max was awarded a German national excellence scholarship, awarded to 0.5% of German students.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/maximiliandavid",
        "x_url": "https://twitter.com/maxrumpf",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36a366b6e36d8e32f443ea45b69fca6fd4df26c8.jpg"
      },
      {
        "user_id": 746723,
        "full_name": "Lotte Seifert",
        "title": "Founder",
        "founder_bio": "Lotte is determined to let people use their data for their own good. She holds a degree in CS from ETH Zürich and a degree in Economics from the University of St. Gallen. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lotte-seifert",
        "x_url": "https://twitter.com/lotteellen",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9381e5b5b03dfe8c71b03c574051aab9ede94457.jpg"
      }
    ],
    "jobs": [
      {
        "id": 81528,
        "title": "Research Intern (Summer 2026)",
        "url": "https://www.ycombinator.com/companies/sid/jobs/SmhVhTs-research-intern-summer-2026",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$5K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "Torch/PyTorch",
          "Reinforcement learning (RL)"
        ]
      },
      {
        "id": 94626,
        "title": "Research Engineer",
        "url": "https://www.ycombinator.com/companies/sid/jobs/3izpJe0-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Torch/PyTorch",
          "Reinforcement learning (RL)",
          "CUDA",
          "Search",
          "LLMs",
          "Vector Embeddings",
          "AI Agents",
          "MLOps"
        ]
      }
    ],
    "news": [
      {
        "title": "Is A.I. Startup Funding a Rerun of the Dot-Com Bubble? | Chicago Booth Review",
        "url": "https://www.chicagobooth.edu/review/is-ai-startup-funding-rerun-dotcom-bubble",
        "date": "Jul 14, 2023"
      }
    ],
    "launches": [
      {
        "id": 72952,
        "title": "SID.ai – AI research lab for retrieval",
        "tagline": "AI research lab for retrieval",
        "body": "**Intelligence needs Context**\n\nAI is giving humanity a new computer: one that can learn, reason, and act. But intelligence and skills are inconsequential without context. _Context imposes the upper bound._ At SID, we're training models to provide this context. _To connect intelligence to the world._\n\n**Context needs Retrieval**\n\nTo provide the right context, you need to find it first: Humanity has known how to do search on the internet for a while. But great search over everything else has been elusive so far. We think _we have an angle to solve it once and for all_. [SID-1](https://www.sid.ai/research/sid-1), our first agentic retrieval model, doubles embedding-only accuracy and outperforms frontier models on the most complex retrieval tasks.\n\n![uploaded image](/media/?type=post&id=72952&key=user_uploads/1134710/cd8dc357-3db7-4db0-9476-265e176bb6bb)\n\n**SID-1**\n\n_SID-1 is our first model for agentic retrieval: 1.8x more likely to surface the right results than embedding-only search across general knowledge, finance, science, legal, and email. It is more accurate than agentic retrieval based on Gemini 3 Pro, Sonnet 4.5, and GPT-5.1 at its highest compute setting, while being 24x faster (144 vs 5.7 seconds)._\n\nTraditional retrieval pipelines pre-program each step: query rewriting, searching, reranking. SID-1 retrieves like a human would: it searches, reads results, and refines its queries, taking as many steps as needed. We trained SID-1 on questions that take human researchers over an hour to solve.\n\nSID-1 is drop-in compatible with existing retrieval systems. It is designed to work as a subagent with larger LLMs like GPT-5 or Sonnet. Teams running embedding-only retrieval or RAG can typically integrate it in an afternoon.\n\nStep-change improvements in retrieval create new winners. Claude Code was better at finding the right file, unlocking larger code bases and driving massive adoption for Anthropic. Open Evidence made retrieving over medical research easier and took doctors by storm. Looking back further, relational was better than hierarchical for databases, creating Oracle. Better web search created Google. [_We're working closely with a small group of companies who want that edge now for their domains._](https://tally.so/r/gDDVMd)\n\nGiven we're compute-limited, we're rolling SID-1 out slowly. We're offering SID-1 through our API, AWS Bedrock, and as a self-hosted model. _If you're interested in SID-1, please sign up to our [waitlist](https://tally.so/r/gDDVMd), follow us on [X](https://x.com/SID_AI), or read the [technical report](https://www.sid.ai/research/sid-1-technical-report) for more details._",
        "url": "https://www.ycombinator.com/launches/Iye-sid-ai-ai-research-lab-for-retrieval",
        "votes": 135,
        "created_at": "2023-07-11T18:57:41.923Z"
      }
    ]
  },
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    "long_description": "We are Alguna, building a modern platform that helps B2B companies price deals, send quotes, bill customers, and collect payments - all in one place.\r\n\r\nOur mission is to create the most efficient revenue engine for B2B SaaS.\r\n\r\nToday, many companies run these processes with spreadsheets and a patchwork of separate tools. That leads to slow approvals, manual work, mistakes, and missed revenue—especially as pricing gets more complex.\r\n\r\nAlguna replaces that mess by connecting the entire flow from **quote to cash**: what sales sells becomes what finance bills, automatically. We help teams automate invoicing, handle usage-based or custom pricing, and reduce back-and-forth between sales, finance, and engineering.\r\n\r\nThe result: growth-stage startups and enterprises can close deals faster, bill accurately, and scale revenue operations without adding headcount or building internal systems.\r\n",
    "one_liner": "AI-Native CPQ & Billing for Modern Pricing Models",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "**What is the core problem that Alguna solves?**\r\n\r\nB2B companies struggle to turn what sales sells into what finance can reliably bill and collect.\r\n\r\nPricing, quoting, contracts, usage, invoicing, and payments often live in different tools—and the “glue” is spreadsheets, manual approvals, and one-off engineering work. As soon as a company introduces custom terms (discounts, ramps, multi-year deals, usage-based pricing, credits, multi-entity billing), the process breaks down: quotes don’t match invoices, billing becomes manual, and finance is stuck cleaning up exceptions every month.\r\n\r\nAlguna solves this by providing a single platform that unifies **pricing, CPQ, billing, invoicing, payments, usage metering, and collections automation** into one **quote-to-revenue** system.\r\n\r\n**Why is this a big problem?**\r\n\r\nBecause revenue operations scale poorly when the infrastructure is fragmented.\r\n\r\nThe impact is measurable:\r\n\r\n\\- **Revenue leakage:** missed invoices, incorrect pricing, unbilled usage, and manual errors compound over time.\r\n\r\n\\- **Slower deal cycles:** approvals and “can we even bill this?” questions delay closing.\r\n\r\n\\- **High operational cost:** finance and revops teams spend their time reconciling systems instead of controlling revenue.\r\n\r\n\\- **Engineering dependency:** product teams get pulled into custom billing logic, integrations, and edge cases.\r\n\r\n\\- **Harder forecasting and reporting:** when the source of truth is scattered, finance cannot trust the numbers.\r\n\r\nAs more companies adopt **usage-based**, **hybrid**, and **AI-driven** pricing models, the gap between modern monetization and legacy revenue stacks keeps widening.\r\n\r\n**What made you decide to work on it?**\r\n\r\nWe saw the same pattern across fast-growing B2B teams: the product and go-to-market motion moves quickly, but the revenue stack stays stuck in old systems built for simpler subscriptions.\r\n\r\nTeams end up running “mission-critical revenue” on spreadsheets and disconnected tools—because replacing them is painful, and building in-house is expensive and distracting. Yet the cost of doing nothing is continuous: every custom deal creates more manual work, more risk, and more leakage.\r\n\r\nAlguna exists to modernize that foundation. We’re building the revenue management engine B2B companies need to sell flexibly, bill accurately, and scale without chaos—by unifying the quote-to-revenue lifecycle and automating the back office."
      },
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We will know Alguna succeeded when **B2B monetization stops being a patchwork of spreadsheets, PDFs, and disconnected tools**—and becomes a single, programmable revenue engine that companies can run with speed, precision, and confidence.\r\n\r\nThe world today is stuck with legacy revenue stacks that were built for simpler subscription businesses. Meanwhile, selling is changing fast: companies sell across **PLG (self-serve), SLG (custom quotes), and enterprise procurement**, pricing models are shifting toward **usage, hybrid, credits, and outcome-based**, and deep integrations + two-way sync across systems are becoming table stakes. In that environment, “good enough” billing and CPQ breaks down.\r\n\r\nAlguna’s vision is to become the **one source of truth for revenue**—the system that orchestrates pricing, quoting, contracting, usage, billing, invoicing, payments, and collections end-to-end.\\\r\n\\\r\nWhat will be different about the world\r\n\r\n**1) Revenue operations becomes “real-time” and automated**\r\n\r\n* Quotes turn into clean billing schedules automatically.\r\n* Usage becomes billable without manual reconciliation.\r\n* Invoices and collections run with far fewer human interventions.\r\n* Finance teams stop doing back-office cleanup as a permanent job.\r\n\r\n**2) Pricing evolves as quickly as the market**\r\n\r\n* Teams can run pricing experiments safely across channels.\r\n* Guardrails and approvals are built-in, not enforced by spreadsheets.\r\n* Companies avoid pricing drift, one-off logic, and costly exceptions.\r\n\r\n**3) Selling becomes faster, with less internal friction**\r\n\r\n* Sales can confidently sell complex deals without engineering dependency.\r\n* Deal desks can scale without becoming a bottleneck.\r\n* Enterprise flexibility is supported without creating operational chaos.\r\n\r\n**4) Businesses scale with smaller teams and higher reliability**\r\n\r\n* A 10-person team can grow rapidly without inheriting a brittle revenue stack.\r\n* Forecasting becomes more trustworthy because the underlying system is consistent.\r\n* Revenue leakage becomes the exception, not the norm."
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        "full_name": "Aleks Đekić",
        "title": "Founder",
        "founder_bio": "Co-Founder and CEO of Alguna (S23) – Spent most of his career building payment products and apps in Fintech. At Dojo (Square for the UK), built a custom revenue management platform for 600 people in GTM org. Most recently, at Primer.io, a global payment orchestration fintech, scaled payments and commerce ecosystems to 100+ connections.",
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        "user_id": 1358800,
        "full_name": "Jamie MacLeod",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of Alguna. Passionate about driving efficiency through software and building effective engineering teams. Previously a founding engineer at Primer, a payment orchestration fintech, scaling the engineering org from 30 to 100 and leading a group of ~20 engineers.",
        "is_active": true,
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        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/alguna/jobs/9JBITuK-forward-deployed-engineer-fde",
        "location": "GB / IE / CA / US / Remote (GB; IE; CA; US)",
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        "role": "Engineering",
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        "id": 88765,
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        "url": "https://www.ycombinator.com/companies/alguna/jobs/3YZc7AG-account-executive-enterprise",
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        "title": "Customer Success Manager - EMEA",
        "url": "https://www.ycombinator.com/companies/alguna/jobs/favvk7b-customer-success-manager-emea",
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        "url": "https://www.ycombinator.com/companies/alguna/jobs/xEKypni-customer-success-manager-north-america",
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    "news": [
      {
        "title": "Exclusive: Alguna exits stealth with $4m seed round",
        "url": "https://www.fintechfutures.com/venture-capital-funding/exclusive-yc-backed-alguna-emerges-from-stealth-with-4m-seed-round",
        "date": "Sep 25, 2025"
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      {
        "id": 76099,
        "title": "Alguna – Modern pricing, quoting & billing platform",
        "tagline": "We help companies increase revenue and close more deals, faster. ",
        "body": "# **📝 TL;DR:**\n\n> [Alguna](https://alguna.io) is a modern pricing, quoting, and billing platform for B2B SaaS. Companies use it to unify the quote-to-revenue process by automating complex and manual back-office operations. [Book a demo](https://alguna.io) to learn more.\n\n# **❌ Problem**\n\nAs companies grow, they want to offer more customized deals to their larger customers, capture data around product usage, forecast revenue, and experiment with pricing. As they scale, instead of graduating to better tools, they default to using spreadsheets and manual processes to connect single-point solutions.\n\nAfter interviewing over 100 company leaders, we’ve seen what consequences information siloes and fragmented solutions can have on the companies’ growth trajectories. \\\nFrom light issues like hiring people to copy/paste data between systems to fundamental ones like not trusting your revenue data or asking your customers to tell you how much they used your product.\n\n> _In times of growth at all costs, companies could’ve turned a blind eye to these imperfect workflows; however, as 2023 loomed over the whole SaaS world, these revenue-impacting inefficiencies represent the line between company survival and the slow death of running out of money without even realizing it._\n\n# ✅ **How Alguna works**\n\nOur core premise is to enable our customers (growth-stage startups and enterprises) to flexibly close more deals faster without worrying about internal limitations and relying on finance and engineering teams.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/9b1a2f85-6a49-4420-8839-23d7193526fa)\n\n> We’ve built **an end-to-end solution** covering the whole customer lifecycle while **complementing** existing **sales** (CRMs), **finance** (ERPs/Accounting), and **engineering** tools.\n\n**Configure pricing & create custom quotes**\n\n* Set up pricing and packaging across all sales channels while supporting any pricing model (including subscriptions, usage-based, platform fees, etc.)\n* Create the most customizable plan options with custom product billing options, one-off integration fees, special discounts, and complex renewal terms.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/d5c62cfa-bb64-45bd-b544-4ff878cbc363)\n\n**Streamline the contract signature flow**\\\nAlguna provides an embedded signature experience directly from the proposal you send customers. This is then automatically connected to tools upstream (CRMs) and downstream (ERPs), enabling the cohesive external (prospects/customers) and internal experience.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f722da69-f9ef-4655-be51-676d57731dbb)\n\n**Seamless and reliable invoicing experience**\\\nSince the pricing models and quotes are natively integrated, everything is automatically connected with the billing engine, enabling the accurate and reliable customer billing experience directly via Alguna or ERP tools of your choice (Stripe Invoicing, Netsuite, Xero, Quickbooks, Bill)\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/8802ecb0-928d-4ff8-9bf2-d6593fae75a3)\n\n**Source of truth for revenue metrics** \\\nEmpower sales and customer success teams with usage data to drive more revenue and unlock new upsell opportunities with real-time revenue data.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f34387fc-134a-471f-bba3-0d38d1e992f8)\n\n# **🏟️ Why us**\n\nWe ([@Jamie MacLeod](https://www.linkedin.com/in/jamie-macleod/) & [@Aleks Đekić](https://www.linkedin.com/in/aleksdjekic/)) met at a fintech startup where we helped scale the payments and automation teams and products. While trying to launch new products, we experienced this problem firsthand and decided to solve it once and for all. Previously, [@Aleks](https://www.linkedin.com/in/aleksdjekic/) led the product development of internal tools _just like_ Alguna for a 600-person commercial team at one of Europe's fastest-growing payment processing companies.\n\n# **🚀 What’s next?**\n\n> **_We’re on a mission to build the most efficient revenue management engine covering the whole customer lifecycle._**\n\n* [Book a demo](https://alguna.io) if you want to learn more about Alguna.\n  * Refer us to anyone you know who could benefit from our solution via [founders@alguna.io](mailto:founders@alguna.io)\n  * If you’d like to share insights and feedback, our inbox is always open.\n* Follow us on [Twitter](https://twitter.com/AlgunaHQ) or [LinkedIn](https://www.linkedin.com/company/algunahq) for new product updates and revenue management best practices.",
        "url": "https://www.ycombinator.com/launches/JnP-alguna-modern-pricing-quoting-billing-platform",
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        "created_at": "2023-11-09T10:18:48.254Z"
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    "id": 28845,
    "name": "Campfire",
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    "long_description": "Campfire is the modern accounting platform for startups and mid-size tech companies. The fastest growing YC companies such as Replit, Posthog, SpeakAI run on Campfire. Our product includes an accounting general ledger that has multi-entity support and advanced financial reporting such as P&L by department and contribution margin by customer. Migrate from legacy accounting software to Campfire for your accounting and financial reporting to automate manual tasks and streamline workflows to unlock financial insights and accelerate the monthly close process.",
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    "country": "US",
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        "user_id": 815940,
        "full_name": "John Glasgow",
        "title": "Founder",
        "founder_bio": "CEO / Co-founder of Campfire, the modern accounting platform for startups and mid-size tech companies. Previously, I was VP, Business Development and Partnerships at Bill.com where I reported to the CFO after joining via the acquisition of Invoice2go for $625 million. At Invoice2go, I led corporate development and partnerships as an executive reporting to the CEO. Prior experience includes corporate strategy at Adobe and tech M&A.",
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        "linkedin_url": "https://linkedin.com/in/johnglasgow",
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        "title": "Campfire - The modern version of NetSuite",
        "tagline": "Campfire powers the accounting for mid-size tech companies",
        "body": "tl;dr: [Campfire](https://meetcampfire.com/) is an accounting platform for startups and mid-size tech companies that are outgrowing QuickBooks or Xero, or are frustrated with NetSuite or Sage. It’s a modern general ledger with advanced features such as multi-entity support and advanced revenue reporting in a modern, consumer-grade interface.\n\n**Revenue dashboard**\n\n![](https://lh7-us.googleusercontent.com/vNK1saTKs-pUioJMvekmx0HD-W31n_MBiUdMPRGN1IPkDQ9GZYCsPvvRagD9KX4AVxPp0vVYFXz0G9h_-WUhqujPCLefCUb7ZZIQ34KUOdWsv0NgGJk3Be6AWqlxmyyg30WsrJZfGhPK9nlGVjXn44s)\n\n---\n\nWe’ve been building our accounting platform to compete with Netsuite since day one at Campfire, but it’s a massive undertaking, so our initial product launch was one of our features - [Revenue Automation](https://meetcampfire.com/revenue-automation/) for unified invoicing/payments, revenue accounting, and reporting. And today, I’m thrilled to share more about our flagship product - [Core Accounting](https://meetcampfire.com/core-accounting/). It’s a modern accounting platform with companies such as Carbon Direct, Populi, and Delphia using the product. We’ve been beta testing our general ledger since July with customers that range in size from 10 employees to 150-employee global companies and are now ready to onboard more customers. Our typical customer migrates to Campfire from QuickBooks and Xero, but we’ve also migrated customers from mid-market ERPs like Sage Intacct and NetSuite.\n\n**Multi-entity income statement:**\n\n![](https://lh7-us.googleusercontent.com/TEOi8cfTZbfz5jIat7AQ9jyKDZAACh6xRhu6LnB4USU1zwe4bBfwA6_D8HFwHqXX1gYfcRPLSSibjFI9oJ_QTi9qc8au9Zh_TybxyGGb8tkRhI68BBDwd8QO7QFiaLuTP2Rj6tidNHI7vxmfbumeC-0)\n\nMy co-founder, [Fernando](https://linkedin.com/in/fsanmartinjorquera), and I ([John](https://linkedin.com/in/johnglasgow)) have scaled multiple accounting software companies including Invoice2go (acquired by Bill.com for $600M+) and Trovata (powering the treasury accounting for companies like Block and Etsy).\n\n**Campfire benefits**\n\n* **Turn the lights on for your financial data** - Unlock actionable and timely KPIs and financial insights with advanced financial reporting for increased visibility such as contribution margin by customer and P&L by department. Empowering executives to make informed, timely decisions.\n* **Scale from startup to global operations** - The first modern general ledger that effortlessly scales globally with your company via support for muti-entity and multi-currency financial consolidation, advanced revenue automation, and multi-dimensional reporting.\n* **Accelerate the accounting close process** - In the current environment, we’re all looking to grow faster while cutting burn. Streamline accounting and financial reporting workflows to free up resources so your team can focus on strategic, high-value work.\n* **API-first approach** - Our [**modern APIs**](https://api.meetcampfire.com/api/docs/) power custom integrations for customers that have automated custom accounting workflows in a matter of days.\n\n**Quotes from a few customers:**\n\n> “We migrated from Sage Intacct to Campfire to accelerate our close process. It’s the only solution in the market that is modern, yet has the power to support our global operations across multiple legal entities and currencies.”\n>\n> Andrea Burton, CPA | VP of Finance Delphia (YC W18)\n\n> “When we were on QuickBooks, it was obvious the product was not built for tech companies like ours. The migration to Campfire was painless and now we are able to make informed decisions and track KPIs as we scale.”\n>\n> Jon Yoo, CEO @ Suger (YC W23)\n\n## **Get started with Campfire**\n\nSend me an email ([**john@meetcampfire.com**](mailto:john@meetcampfire.com)) or check out our website at [**www.meetcampfire.com**](http://www.meetcampfire.com/) to learn more and schedule a demo.",
        "url": "https://www.ycombinator.com/launches/KVm-campfire-the-modern-version-of-netsuite",
        "votes": 44,
        "created_at": "2024-02-28T16:13:45.104Z"
      },
      {
        "id": 73767,
        "title": "Campfire ⛺ 🔥 : Revenue management for Series A+ tech companies",
        "tagline": "Your investor updates just got a lot better",
        "body": "**TL;DR**\n\nMost Series A+ tech companies still manage revenue recognition, attribution (expansion, churn, etc.), and KPIs in spreadsheets. Campfire simplifies the entire process by ingesting your revenue data (customer contracts, Stripe data, etc.) through AI to automate your revenue recognition, invoice management and KPI reporting for any business model (subscription, usage, marketplace, etc.). We’re currently performing the data migration (at no cost!) for new customers through the end of August. Check us out at [meetcampfire.com](http://meetcampfire.com)!\n\n![uploaded image](/media/?type=post&id=73767&key=user_uploads/815940/5446f7b9-e256-4832-9844-aeca965da002)\n\n_Quick tour of our dashboard page_\n\n**How we know this is a problem**\\\nAs an exec at Invoice2go (90 employees, Series C), one of the largest pain points [John](https://bookface.ycombinator.com/user/815940) encountered was that the company had outgrown QuickBooks, but the migration to NetSuite didn’t make sense due to pricing, resourcing and the required migration effort. After selling the company to and leading partnerships at [Bill.com](http://Bill.com), John noticed significant innovation happening around core accounting (Brex, Zip, Rippling, etc), but accounting software itself like NetSuite hadn’t been refreshed in 20+ years.\n\nAt the same time, [Fernando](https://bookface.ycombinator.com/user/847698) led back-end engineering at Trovata, which is treasury software for customers like Square and Etsy. He realized there was an opportunity to bring enterprise-grade automation to mid-size companies.\n\nBringing our experiences together, we know that we can make a difference in an area that hasn’t seen improvements in decades. \n\n![uploaded image](/media/?type=post&id=73767&key=user_uploads/815940/eab61627-c57c-4806-a75c-2dbc58c577db)\n\n_This was the moment when it sunk in that we’re really in Y Combinator!_\n\n**Our Solution**\\\nTo fix this inefficiency, we’ve launched _Revenue Management_ as our first product. We’re migrating accounting and finance teams out of spreadsheets and into automated, AI-powered software that ingests customer contracts and computes revenue recognition and KPIs (ARR, churn, etc.) to improve accuracy, saving both time and money. Early customers are saving 90% of the time it takes to manage revenue, allowing their accounting/finance teams to focus on high-value, impactful work instead of performing manual tasks in spreadsheets. Your investor/Board updates just got a lot better, and your accounting teams just got a lot more efficient. Our product is fully operational for any business model and referenceable with happy campers (pun intended!) like Jenny Jao, Head of Finance at Sprig (Series B) who said:\n\n> Our time-to-value with Campfire was really fast. We're moving our revenue and invoice management out of spreadsheets and into Campfire to automate everything. It's a big win for us.\n\n![uploaded image](/media/?type=post&id=73767&key=user_uploads/815940/ea2da31f-8ee9-4c14-8ac5-41c21ac29be9)\n\n_View of a customer contract_\n\nCampfire works well for any business model from marketplaces managing hundreds of thousands of monthly transactions in a database to enterprise subscription software managing contracts in spreadsheets. Irrespective of business model, Campfire automates your revenue KPI’s for investor/exec updates and monthly journal entry for any accounting software such as QuickBooks and NetSuite. \n\n**Our ask:** We’re looking to connect with finance and accounting leaders at Series A+ tech companies to explore how Campfire can save them between one day and one week every month, while turning the lights on their revenue KPIs to improve exec reporting and investor updates.\n\n**Launch YC Promo:** \\\nWe’re currently performing the entire data migration out of spreadsheets (at no cost!) for new customers through the end of August. Upon first login, view all of your revenue KPIs, attribution, and customer- and product-level revenue analysis with the ability to drill down into the data. Reduce your revenue accounting down to a few clicks per month, and increase your efficiency. 📈\n\n**Check out our website at **[**meetcampfire.com**](http://meetcampfire.com)**, drop me a note at **[**john@meetcampfire.com**](mailto:john@meetcampfire.com)**, or **[**schedule a demo**](https://www.meetcampfire.com/company/meet-campfire)** to get started.**",
        "url": "https://www.ycombinator.com/launches/JBn-campfire-revenue-management-for-series-a-tech-companies",
        "votes": 49,
        "created_at": "2023-08-03T16:54:17.347Z"
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    "website": "https://www.parea.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Parea AI is the essential developer platform for debugging and monitoring every stage of LLM application development. We provide testing, evaluation, and monitoring in one unified platform. These capabilities help developers get visibility into LLM responses, quickly test and optimize prompts, and ensure customers get the best user experience.",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
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        "full_name": "Joel Alexander",
        "title": "Founder",
        "founder_bio": "Senior Software Engineer at Lyft.\nJ.P. Morgan TMT Investment Banking.\nBA @ Columbia University.\nMSc @ New York University",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ajoeljr",
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      {
        "user_id": 501039,
        "full_name": "Joschka Braun",
        "title": "Founder",
        "founder_bio": "Published my first paper in the highest-ranked number theory journal at age 17. Continued to pursue math until my M.Sc. from NYU as a Fulbright scholar. Noticed AI has more real world applications than math and started researching applications of deep learning to medical imaging at Covera Health. Built semantic search systems and automatic code generation software at Jina AI.\n\nhttps://joschkabraun.com",
        "is_active": true,
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        "title": "Y Combinator Demo Day 2023: Our favorites Day 2 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/",
        "date": "Sep 07, 2023"
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      {
        "id": 82145,
        "title": "Parea AI - Aligned & reliable LLM evaluations",
        "tagline": "Automatically create LLM-based evals aligned with human judgement",
        "body": "**tl;dr:** [Parea AI](https://www.parea.ai/) automates the creation of evals for your AI products. We achieve this by bootstrapping an evaluation function with human annotations. Allowing you to automagically turn “vibe checks” into scalable and reliable evaluations aligned with human judgment.\n\n# **😩 The Problem**\n\n![uploaded image](/media/?type=post&id=82145&key=user_uploads/501039/78024ed1-9aa2-4be8-a022-359d82b9ac59)\n\nEvaluating free-form text is often only possible by humans reviewing outputs or using LLMs to evaluate them. The former is laborious, slow, and expensive, while the latter often fails to evaluate the outputs correctly. For LLM evaluations to work properly, one needs to prompt engineer them; i.e., they require their own optimization process.\n\n# **🚀 The Solution**\n\n![uploaded image](/media/?type=post&id=82145&key=user_uploads/501039/b7c1f4c7-b654-40e6-9e1d-84ab93f4ad5f)\n\nThe best [LLM evals](https://joschkabraun.com) are adapted to your particular business use case & data. We've developed a method for uploading human annotations (via CSV or using our [Annotation Queue](https://docs.parea.ai/manual-review/queue)) and bootstrapping an evaluation to mimic the annotations. To create a human-aligned eval, you need as few as 20 sample annotations. Using your new LLM eval is as easy as copying the code into your codebase or using it directly via Parea's API. Check out [our docs](https://docs.parea.ai/manual-review/bootstrapped-eval) to see the complete workflow.\n\n# **🙏 Our Ask**\n\n* **Get started** on [**our free tier,**](https://app.parea.ai/sign-up) or [**book a chat**](https://calendly.com/parea-ai/chat) to discuss how we can help you evaluate your AI app!\n* **Support our** [**launch** **tweet**](https://x.com/JoschkaBraun/status/1812884216444510233) and follow us on [**LinkedIn**](https://www.linkedin.com/company/parea-ai/) and [**Twitter**](https://x.com/PareaAI)\n* **Share Parea** **AI** with anyone you know who is facing challenges [evaluating AI & LLM systems](https://joschkabraun.com).",
        "url": "https://www.ycombinator.com/launches/LMv-parea-ai-aligned-reliable-llm-evaluations",
        "votes": 8,
        "created_at": "2024-07-15T16:47:45.697Z"
      },
      {
        "id": 73431,
        "title": "Parea AI – DataDog for LLM apps",
        "tagline": "Parea AI helps developers ideate, evaluate, and manage LLM-powered applications to consistently deliver quality user experiences.",
        "body": "**TL;DR:** [**Parea AI**](https://www.parea.ai/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc&utm_content=tldr) is the essential developer platform for debugging and monitoring every stage of LLM application development. We provide debugging, testing, evaluation, and monitoring in one unified platform. These capabilities help developers get visibility into LLM responses, quickly test and optimize prompts, and ensure customers get the best user experience.\n\n![uploaded image](/media/?type=post&id=73431&key=user_uploads/699950/7cd2fa60-436e-46c0-b266-b88f3fd66b8c)\n\n### 🤔 **The Problem**\n\nLLMs hold infinite promise, but translating this potential into practical applications can be complex. Crafting precise prompts or building effective chains, tracking their performance, and optimizing them currently involves a disparate array of tools and a steep learning curve, leading to decreased productivity and increased time to market. This trial-and-error process can become taxing; in the words of one of our customers, **\"reading 1000s of words from ChatGPT outputs a day takes the fun out of building**.**\"**\n\n### 💡 **The Solution**\n\nParea was conceived to streamline this journey by simplifying the entire process of creating and managing LLM-powered systems. Our intuitive UI enables developers to **debug and test** their **prompts/chains**, offering deep visibility into the best-performing changes that dramatically improve LLM responses. The built-in Lab module lets you **compare various prompts, models, and parameter configurations side by side**, transforming rigorous testing into an insightful and fun task. Post-deployment, our robust **API ensures you have comprehensive analytics**, performance insights, and a complete tracking system for optimizing your application to excel in delivering user experiences.\n\n### 🚀 **Who is it for:**\n\nParea is for developers, AI enthusiasts, and organizations with a vision to leverage the power of LLMs. Whether you're a small team working on an LLM-driven product or a large company developing complex LLM-powered applications, **Parea simplifies the process and accelerates your time-to-productivity**.\n\n### 🎉 **Meet the Parea team**\n\nJoel and Joschka met in New York City and bonded over philosophy, learning, and of course, start-ups!\n\nJoel is a true Renaissance man. His quest has led him from a published microbiology researcher to International Politics at the Council of Foreign Relations, to learning Russian in Moscow, working on &gt;$100B of M&A deals at J.P Morgan, and most recently honing his self-taught coding skills as a SWE at Lyft. With Parea AI, he's committed to enhancing the productivity of every AI builder.\n\n[Joschka](https://joschkabraun.com) is our Wunderkind. He published a paper in the highest-ranked Journal for Number Theory at age 17, graduated college at 19, took a gap year to do Kung Fu in China, then completed his Master's at NYU as a Fulbright scholar. Joschka spent the last 3 years on the AI/ML frontline doing computer vision at Covera Health, and semantic search & LLMs at Jina. Parea was born to tackle the issues he'd faced in debugging and building LLM applications like DevGPT.\n\n![uploaded image](/media/?type=post&id=73431&key=user_uploads/699950/4bdf0da2-6bfd-4139-8f0c-ea7e826fd062)\n\n### ❤️ **Our Ask**\n\nWe invite you to explore [Parea’s](https://www.parea.ai?utm_source=yc&utm_medium=post&utm_campaign=launch_yc2&utm_content=cta) capabilities for your LLM solution and join our welcoming community. Follow us on [Twitter](https://twitter.com/PareaAI) and on [LinkedIn](https://www.linkedin.com/company/parea-ai/).\n\nIf you have any questions or would like a personalized onboarding session for your team, write us at [founders@parea.ai](mailto:founders@parea.ai)",
        "url": "https://www.ycombinator.com/launches/J6N-parea-ai-datadog-for-llm-apps",
        "votes": 128,
        "created_at": "2023-07-26T03:34:53.972Z"
      }
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    "id": 28847,
    "name": "Venta AI",
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    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1686817424,
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Lucas Spreiter",
        "title": "Founder",
        "founder_bio": "Lucas is the co-founder of Venta AI. While studying engineering and IT at the Technical University of Munich he built electric race cars, industrial automation systems and a Hyperloop pod that won the SpaceX Hyperloop competition in 2017. After graduating he founded a company that developed AI systems for enterprises. With his company Venta AI he works on the mission to develop AI employees for the European Market.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lucas-spreiter",
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        "full_name": "Stefan Reuther",
        "title": "Founder",
        "founder_bio": "Stefan is the co-founder of Venta AI. He taught himself coding during high school and started his first job as a software engineer at Linde at the age of 18. \nLater, while studying AI at the University of Amsterdam, he founded Unetiq, an AI enterprise software consultancy which he sold before starting Venta.",
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      {
        "id": 117942,
        "title": "Venta AI Reengage - turn your dead leads into pipeline",
        "tagline": "Your sales reps work 50 accounts. Venta AI works the other 40,000: who's ready to buy, why now, and what to say.",
        "body": "Hey everyone!\n\nLucas and Stefan from Venta AI here. For the past two years we've helped companies win new customers via email, LinkedIn, calls and physical letters.\n\nRecently one of our customers found a new use-case for our platform: instead of cold outbound he sent personalized messages to existing contacts and achieved four times as many replies as our standard user. But when he wanted to scale this use case the information he needed was spread across his CRM, his ERP and three spreadsheets.\n\nSo, today we're launching Venta AI Reengage. It finds the untouched leads worth talking to, figures out why now, and reaches out for you.\n\n**TL;DR:** Venta AI Reengage reads whatever you have: CRM, ERP or just spreadsheets, spots the contacts who are drifting away or are ready to buy again, and reaches out to them. Thanks to our AI-based scoring and multi-channel outreach you can treat all of your contacts like key accounts, and get 4x more replies than with cold outreach.\n\n<https://youtu.be/GxzOuIc2tDQ>\n\n**Every CRM is a graveyard**\n\nEvery CRM we connect to Venta AI tells the same story: tens of thousands of contacts, but most with no interaction. Even our own: 10,583 contacts. 1,407 have heard from a human at Venta AI in the last three months. 4,335 never have at all.\n\nAnd the CRM is only half the picture. For a full view of a customer you would also need the order history, the support tickets, and the spreadsheet the sales manager keeps to himself. Nobody has the time to pull all of that together for one contact, let alone thousands of them.\n\n**Launching Venta AI Reengage - Treat every customer like an A customer**\n\n![uploaded image](/media/?type=post&id=117942&key=user_uploads/1367242/596c0cc9-df67-4f85-9905-d7bb0b5331fc)\n\nVenta AI Reengage combines what your systems know with what's happening outside, and surfaces the contacts worth a message today.\n\n* **Connect what you have.** Standard CRMs like HubSpot and Salesforce work out of the box. For everything else our FDE team builds the connection with you.\n* **Venta AI finds the reasons to talk.** Replacement cycles, dropped order volume, contract end dates, reopened tickets, job changes at the account, funding, news. You get a ranked list of contacts worth talking to, each with the reason it surfaced.\n* **Personalized messages.** Every message is written for one person: their order history, the last conversation they had with you, and the signal that surfaced them.\n* **You stay in control.** Nothing goes out without approval. Review every message before it sends, or set rules and let it run for the segments you trust.\n* **Reach out on the right channel.** Email, LinkedIn, calls or a physical letter, sent from the same Venta AI platform you can also run your cold outreach.\n\n**Our ask**\n\nWe're looking for B2B companies that sell repeat business, ideally an online shop, a wholesaler, a parts or supplies business. Send us a CSV export of your order history and we'll show you which of your customers are drifting away and how you can win them back.\n\nFeel free to contact us at [lucas@getventa.ai](mailto:lucas@getventa.ai)",
        "url": "https://www.ycombinator.com/launches/UgI-venta-ai-reengage-turn-your-dead-leads-into-pipeline",
        "votes": 6,
        "created_at": "2026-10-02T14:28:15.537Z"
      },
      {
        "id": 88760,
        "title": "Venta AI - the AI SDR for multi channel outbound with letters",
        "tagline": "Global and EU compliant outreach. Run targeted email, LinkedIn and letter campaigns.",
        "body": "Hey YC!\n\nWe are Lucas and Stefan from Venta AI. A year ago we launched an outreach tool for Europe and soon had to learn about EU-compliance laws. Since cold mailing is not legal in most of Europe, we implemented LinkedIn and letters as alternative and highly effective outreach channels. Today we are launching Venta AI 2.0 -compliant AI SDR that can run multi-channel outreach campaigns to highly targeted prospects globally.\n\n**TL;DR:** Venta AI is a legally compliant AI SDR that automates prospecting and cold outreach via letters, LinkedIn and email. Thanks to our AI-based qualification and multi-channel approach you can reach every customer, avoid landing in SPAM and increase your reply rates at least 2x.\n\n[**https://www.youtube.com/watch?v=0BjDrlGZCb0**](https://www.youtube.com/watch?v=0BjDrlGZCb0\\*\\*)\n\n**Meet Europe’s strict regulations on cold outreach**\n\nWhen we started cold outreach, compliance wasn’t top of mind. We knew that many EU countries have restrictions and informed our users about them. But soon enough one user received a cease and desist letter for sending a cold email and had to pay a hefty fine. This incident prompted us to take a closer look. EU regulations generally forbid sending electronic messages without an explicit opt-in. In many cases, enforcement might be lax, but if you run afoul of these laws, you could face everything from a cease and desist letter (with fines in the hundreds) to a lawsuit (potential fines of up to hundreds of thousands) or even a severe GDPR violation, which can result in penalties reaching millions.\n\nIf you think this is solely a European issue, you might also want to check out Canada’s anti-spam legislation (CASL) or Australia’s Spam Act.\n\n**Email deliverability is a nightmare**\n\nThe second problem everyone faces with cold mailing is email deliverability. People have written enough about this on Bookface, so I will just say: it becomes a never ending cat and mouse game between cold mailers and email service providers (mainly Gmail and especially Outlook).\n\n**Compliant ways to reach out**\n\nIf you don't want to break any laws in the above countries, you have 3 options for cold outreach:\n\n* LinkedIn messages (allowed if connection request accepted)\n* Phone calls (allowed with \"presumed consent\")\n* Sending letters (always allowed)\n\nSince LinkedIn limits how much you can send and phone calls take a lot of time, there is only one truly compliant and infinitely scalable way to cold outreach: letters.\n\n**Launching Venta AI 2.0 - compliant outreach at scale**\n\n![uploaded image](/media/?type=post&id=88760&key=user_uploads/1367242/8ae24024-3a29-4a24-8ab4-2cfefb753cc7)\n\nToday we are launching Venta AI 2.0, which allows you to run multi-channel outreach via email, LinkedIn and letters, while remaining compliant in each country.\n\nSince letters need to be printed and postage paid, we help you use this channel as cost-efficiently and effectively as possible:\n\n1. **Qualification**: Venta AI qualifies accounts based on your own questions, such as: \"Is this a logistics company that uses electric trucks\". This helps to ensure that you are only contacting your ICPs.\n2. **Contact Picking**: Letters should only be sent to 1-2 people in a company. Venta AI always selects the most appropriate contact from all employees in a company based on your buying personas.\n3. **The correct postal address:** As described [here](https://bookface.ycombinator.com/posts/86152), we have learned the hard way that many business addresses in company databases are just plain wrong. So we scrape the addresses directly from a company's website, select the location closest to our prospect and validate the address before sending.\n4. **CTAs & Traceability:** Letters work differently than emails. To bridge the gap from analog to digital, we always include personalized QR codes on every letter. You get an instant Slack notification with the contact's number when they scan it.\n5. **Saving money on sending**: You can send worldwide directly from our platform and simply pay with credits in your subscription.\n\n**What to expect from letters**\n\nWe ran several campaigns testing letters directly against email, sending the same message to the same ICP (CEOs in marketing agencies). Email campaigns were run with fully warmed up Gmail accounts, optimized sending times and AI spintax. Letter campaigns were printed with a handwritten font.\n\nOn average across 1200 contacts we saw a **2x improvement** in reply rate (4.5% from letters vs. 2.5% from emails) and meeting booked rate (1.5% vs. 0.6%).\n\n# **Let’s get physical**\n\nWant to try letters as an additional or compliant way of reaching customers?\n\nLet’s talk. Contact us at [lucas@getventa.ai](https://mailto:lucas@getventa.ai) or book a demo at <https://www.getventa.ai/trial>",
        "url": "https://www.ycombinator.com/launches/N5c-venta-ai-the-ai-sdr-for-multi-channel-outbound-with-letters",
        "votes": 34,
        "created_at": "2025-03-18T18:35:00.951Z"
      },
      {
        "id": 73197,
        "title": "Order.link 🧩 Respond to customer inquiries faster",
        "tagline": "Let order.link generate quotes, orders and email responses for you",
        "body": "**_TLDR:_** _Order.link helps manufacturers respond faster to incoming emails by automatically generating quotes, orders, and email replies. By extracting data and synchronizing it with ERP and CRM systems, order.link processes emails 10 times faster and with 80% fewer errors._\n\n➡️ Get [order.link](https://www.order.link) to tackle your sales emails!\n\nHi everyone, we are Lucas and Stefan and we want to make work meaningful for everyone by enabling our users to spend more time interacting with customers face-to-face.\n\n![uploaded image](/media/?type=post&id=73197&key=user_uploads/1365695/8bc9f15f-c5dd-4b2a-9c8e-9efaf4ba0fb7)\n\n**📧 The problem: A flood of emails distracts sales teams from face-to-face customer interactions**\n\nManufacturers generate two-thirds of their revenue from inbound email, meaning they often receive more than 100,000 emails per month. This creates a significant workload for inside sales staff and frustrates their customers with long response times.\n\nImagine spending your entire week answering emails and copy-pasting order information into another system. This is what sales employees spend at least 30% of their time doing.\n\nAs a result, sales teams have less time for face-to-face customer interactions and revenue-generating activities.\n\n**🤖 The Solution - **[**Order.link**](http://Order.link)** takes care of data entry and email replies**\n\nOrder.link is an AI-driven solution that streamlines several key tasks, including:\n\n* **Faster** **Communication**: Order.link automatically responds to appropriate emails, such as price and delivery time requests.\n* **Automated quote & order generation**: Order.link integrates with existing CRM & ERP systems and automatically generates quotes and orders, reducing manual data entry.\n* **Product Matching**: It effectively identifies buyer requirements and assigns matching products\n\nOrder.link has the power of chatbots, but differs in two key ways:\n\n1. **Integration with communication channels**: By integrating with email and MS Teams, order.link does not require any customer-facing communication changes.\n2. **Open system integration**: Order.link works with what you have and integrates with existing CRM and ERP systems. This enables automated verification of incoming requests and quick access to relevant information such as pricing and delivery schedules.\n\n![uploaded image](/media/?type=post&id=73197&key=user_uploads/1365695/40530832-8499-485c-84a7-1048cd372c7d)\n\n**Backstory**\n\nWe started our first business 5 years ago - an AI enterprise application agency - with the goal of eventually building a SaaS product.\n\nDuring this time, we iterated over 7 product ideas and used the experience we gained to launch [order.link](http://order.link) after seeing a clear demand for a solution to the problem of manual email processing.\n\n👋 **Asks - How you can help**\n\n* Do you know a supplier or manufacturer that this might help? Get us in touch\\*!\n* Share this post - your network is super valuable to us!\n* Follow us on [LinkedIn](https://www.linkedin.com/company/81614030).\n\n\\*_quick blurb to copy&paste:_\n\n[_Order.link_](http://Order.link) helps manufacturers respond faster to incoming emails by automatically generating quotes, orders, and email replies. Get in touch with them at [_founders@order.link_](mailto:founders@order.link).\n\nCheers,\n\nLucas & Stefan",
        "url": "https://www.ycombinator.com/launches/J2b-order-link-respond-to-customer-inquiries-faster",
        "votes": 107,
        "created_at": "2023-07-18T21:59:37.199Z"
      }
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    "id": 28849,
    "name": "Punchcard",
    "slug": "punchcard",
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      "Audit AI",
      "Substantive AI",
      "Agentive"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35234c07d053e0ad46079e11465b9c97a2ee8f2d.png",
    "website": "https://www.punchcard.com",
    "all_locations": "Provo, UT, USA",
    "long_description": "Punchcard is a system designed for assurance engagements like financial statement audits and SOX control programs. Purpose-built for selecting, requesting, and testing audit evidence. Punchcard leverages assertion-driven AI agents that perform testing procedures from natural language instructions—just like an audit associate.\r\n\r\nBy combining critical workflows such as audit planning, client document requests, evidence testing, and workpaper documentation into one seamless platform, Agentive streamlines audit processes, reduces inefficiencies, and frees teams to focus on high-impact areas.",
    "one_liner": "Agentive assurance system for auditors, risk consultants, and clients.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1687833550,
    "tags": [
      "SaaS",
      "B2B",
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Finance and Accounting"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/punchcard",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/punchcard.json",
    "year_founded": 2023,
    "city": "Provo",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/goagentive",
    "x_url": "https://www.twitter.com/goagentive",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35234c07d053e0ad46079e11465b9c97a2ee8f2d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 1097859,
        "full_name": "Daniel Alberson",
        "title": "Founder/CEO",
        "founder_bio": "Daniel Alberson is the co-founder and CEO of Punchcard. Daniel started his career as an auditor and product manager at Ernst & Young after graduating with a Bachelor in Accounting from BYU. He then dropped out of Northwestern's Master in Product Design to join Facebook as a product manager for augmented reality glasses.\n\nHe's leveraging his unique experience as an auditor and product manager to transform the auditing profession.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alberson",
        "x_url": "https://twitter.com/DannyAlberson",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/669dd1f0b3a3611031866549f92f26db63c308c4.jpg"
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    "launches": [
      {
        "id": 88440,
        "title": "Agentive—Audit Requests Clients Love",
        "tagline": "Meet Agentive, the AI Workspace for Auditing and Client Collaboration.",
        "body": "**TL;DR** Agentive completely redesigned document requests to eliminate confusion and unnecessary busy work—reducing client rework by 25% and streamlining audits. Uploaded documents become AI-drafted workpapers aligned with your firm’s templates, cutting review time by 90%.\\\n<https://youtu.be/7V5hTATJm3E>\n\n# **Improving the client-auditor relationship, one request at a time**\n\nThe toughest part of an audit isn’t issuing the opinion—it’s getting the right documents on time. Existing solutions still confuse clients, require significant training, and lead to re-work that strains relationships. Agentive set out to change this by making document requests seamless and user-friendly.\n\n# **The current frustration**\n\nRequesting documents (often called a PBC list – “Provided By Client” list) can be a nightmare:\n\n1. **Confusing User Interface:**\n   * Clients often need training just to see what’s outstanding and upload a document.\n2. **Unorganized Sample Requests:**\n   * For example, a client might receive a request with an Excel file listing 25 expenses, each expense needing multiple pieces of evidence (like invoices and bank statements).\n   * They must gather and upload all evidence into an unorganized folder. This disorganization leads to many mistakes and re-work that can be prevented.\n   * Auditors often take days—or even weeks—to review documents provided by the client; they must match each file to its correct item in the sample. Any missing or incorrect evidence requires re-work from the client.\n3. **Constant Follow-Ups & Strained Relationships:**\n   * Every missing document adds friction, but the longer it takes for clients to learn about mistakes, the more pain it causes.\n   * Hours are lost chasing missing documents, leaving clients feeling nagged and auditors drained.\n\nThis **painful status quo** has been accepted as “just part of auditing” for far too long. Clients dread it, and firms worry that each request for info might annoy their client. The result? A process that should be straightforward often drags on with frustration on both sides.\n\n# **The purpose-built solution**\n\nWhat if providing audit evidence required zero training—and even felt satisfying? Enter Agentive’s new request flow, purpose-built to eliminate friction in auditing.\n\n1. **Request with Samples**\n   * **Native Itemized Requests:** Instead of downloading an Excel file to view the items in the sample, Agentive natively integrates the sample table into the request.\n   * **Precise Uploads:** Clients attach specific evidence at the intersection of each sample row and document request column—eliminating guesswork and simplifying review.\n\n   ![uploaded image](/media/?type=post&id=88440&key=user_uploads/1097859/c3416ec7-7d91-4d2f-a49e-bd39a4474dbe)\n\n2. **Engagement Board View**\n   * **Instant Visibility:** Both auditors and clients see requests by status and category at a glance with drag and drop updates.\n   * **Satisfaction:** Clients enjoy checking off completed items, ensuring everyone knows what’s done and what’s outstanding.\n3. **Auditor Review Improvements**\n   * **Flexible Upload**: Whether clients upload files one-by-one or in bulk, AI matches each document to the correct sample item—even in multi-page scans.\n   * **Instant Citations**: Every value is automatically located within uploaded documents, with one-click navigation to its exact location.\n   * **90% Faster Review**: AI-powered matching, detail testing, and analysis, let auditors quickly spot missing or insufficient documentation, slashing follow-up time with client.\n\nImagine your next audit kickoff: your client opens Agentive and says, **“Oh, this is nice!”** Instead of groans and procrastination, they begin right away—confident about what you need. Each step is transparent and even rewarding as they see their progress. What once felt like pulling teeth becomes a smooth collaboration.\n\n# **Available Now: AI-Drafted Audit Procedures**\n\n**In this post, our focus is on you and your clients**, and making sure the foundation of every audit – collaborating with the client – is as smooth and organized as possible. As former auditors, we’re equally dedicated to improving auditor job satisfaction. We do this by listening to you, our users, and solving your problems with **human-centered design** and **artificial intelligence.** Every document uploaded in a client request can easily be transformed into your firm’s audit workpaper template through our **AI-powered** document matching and AI prompts. We’re incredibly proud these workflows are set up in a few clicks and workpapers are ready for review in less than a minute after every client upload.\n\n# **Ready to Delight Your Clients?**\n\n[**Schedule a demo**](https://goagentive.com/) or email [founders@goagentive.com](mailto:founders@goagentive.com) to see how Agentive can elevate your firm for both clients and auditors.\n\n![uploaded image](/media/?type=post&id=88440&key=user_uploads/1097859/5d75969b-9c44-479e-a96f-00db77d0df43)\n\n",
        "url": "https://www.ycombinator.com/launches/N0S-agentive-audit-requests-clients-love",
        "votes": 18,
        "created_at": "2025-03-10T21:00:24.202Z"
      },
      {
        "id": 72821,
        "title": "Agentive: AI-powered copilot for auditors",
        "tagline": "We help accountants analyze financial records, perform audit procedures, and draft documentation in seconds.",
        "body": "Hi everyone, we’re Agentive.\n\n**TL;DR** Agentive helps auditors unlock growth by shortening the time to perform audits. Auditors use our AI-powered copilot to analyze financial records, perform audit procedures, and draft documentation with 10x efficiency. If you’re an auditor, get in touch at [goagentive.com](http://goagentive.com)!\n\n**Problem**\n\nAudit staff spend 40% of their time searching, extracting, and manipulating data during audit procedures. And another 20% is spent preparing audit documentation. While it’s gotten easier to work with evidence provided by clients over the years thanks to OCR and other semi-automation solutions, it’s still painful. These audit procedures are rather standardized across clients and documentation is often identical year over year at the same client with only the current year data changing. The desire of audit staff to be involved in audit strategy is often in conflict with the amount of manual work that needs to be done at firms. This contributes to the high turnover in audit staff and the shortage of accountants entering the profession.\n\n**Team**\n\nWhile working as an auditor at EY, Danny Alberson felt underutilized due to the repetitive work involved in auditing. Nathan Turnbow, co-founder and CTO, built the first AI-powered education platform at Imagine Learning and honed his risk expertise as a cyber security engineer at Dell. Jason Draper, technical co-founder, led teams as an officer in the US Air Force and is a second time founder. Together, they're building Agentive to help auditors automate procedures and spend more time on audit strategy.\n\n**Solution**\n\nAgentive addresses this challenge by training large language models that cater to accounting and audit use cases. Agentive provides an in-browser spreadsheet editor and document viewer where auditors use natural language to have Agentive’s copilot analyze evidence, perform procedures, and draft documentation with 10x efficiency. It’s like working with ChatGPT during your audit. To review AI generated data we make it really easy to trace results back to their source. This not only speeds up preparing documents by audit staff but increases the efficiency of management and partner reviews as well.\n\n![uploaded image](/media/?type=post&id=72821&key=user_uploads/1097859/d436827f-1dd3-4314-a1d3-af9f37364114)\n\n**What can you use Copilot for?**\n\n1. **Extracting Text/Tables**: Extract text and data from documents like PDFs which can then be analyzed or moved to spreadsheets or workpapers for further processing.\n2. **Compliance Checking**: Analyze the content of documents to check compliance with various regulations, standards, or policies, and provide reports detailing any areas of non-compliance.\n3. **Content Search and Retrieval**: Enables auditors to conduct advanced content searches within documents, including searching for specific phrases, keywords, or patterns and retrieving relevant sections.\n4. **Natural Language Querying**: Simplify data retrieval by extracting information from spreadsheets using natural language queries without complex formulas.\n5. **Reconciliations**: Validate data within documents by cross-referencing it with other sources, such as spreadsheets, and highlight any discrepancies that require further investigation.\n6. **Natural Language Summarization:** Automatically generate concise written summaries of financial data in spreadsheets, helping auditors quickly comprehend key insights without digging through raw data.\n\n**Ask**\n\nWe’d love to connect with auditors! Please sign up for a demo at [goagentive.com](http://goagentive.com)",
        "url": "https://www.ycombinator.com/launches/IwX-agentive-ai-powered-copilot-for-auditors",
        "votes": 57,
        "created_at": "2023-07-06T17:56:16.055Z"
      }
    ]
  },
  {
    "id": 28851,
    "name": "Bronco AI",
    "slug": "bronco-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce0ac1e308aa18998242314db08d5821b4db4aa.png",
    "website": "https://www.bronco.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bronco is an applied AI lab helping chipmakers keep Moore’s law going. Our mission is to build AI silicon verification engineers that find bugs, drive functional coverage, and help companies ship working chips on time.\r\n\r\nWe're currently deployed alongside verification teams at leading chip companies building next generation hardware (4 nm process node).\r\n\r\nWe are well-funded and backed by tier-1 investors, including YC, 8VC, Elad Gil, SV Angel, and Contrary Capital. We have also established strong relationships with the leading academic and industry researchers in the field of AI for chip design. Our advisors have won multiple Best Paper Awards at leading conferences, been cited tens of thousands of times, and received some of the highest honors in the microelectronics and EDA industries.",
    "one_liner": "AI for ASIC Design Verification",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1683953569,
    "tags": [
      "B2B",
      "Enterprise Software",
      "Semiconductors",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bronco-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/bronco-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bronco-ai",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/bronco-ai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce0ac1e308aa18998242314db08d5821b4db4aa.png",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 824475,
        "full_name": "David Zhi LuoZhang",
        "title": "Founder",
        "founder_bio": "Building Bronco AI | Enjoyer of industrials, ML, and the frontier thesis",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dluozhang",
        "x_url": "https://twitter.com/dluozhang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ce5b228a9b2faefce21814be9e26baa231c9e26.jpg"
      },
      {
        "user_id": 1264576,
        "full_name": "Jeffrey Pan",
        "title": "Founder",
        "founder_bio": "Building Bronco AI, deeply passionate about the industrial economy, AI, and their future together.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jeffreyzpan",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/789018efd16d774289865d77f43b74cde70218c4.jpg"
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  },
  {
    "id": 28852,
    "name": "Kite",
    "slug": "kite",
    "former_names": [
      "MockRocket"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bfa0b0578ef53f45eaff933ccf7f9f6f80f2b0f.png",
    "website": "https://kite.video",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kite is a screen recorder that makes your demo videos look like Apple commercials in minutes.\r\n\r\nSimply record your app (works for iPhone recordings too!). Kite will track your cursor and keyboard inputs, so it can automatically zoom in on the action with professional 3D animations.\r\n\r\nKite is as easy as Canva, but your videos will look like they came out of OpenAI or Figma.\r\n\r\n- One-click cinematic 3D animations\r\n- Display recordings on 3D mockup devices (MacBooks, iPhones etc)\r\n- Combine unlimited recordings into one video\r\n- Edit, adjust speed and trim recordings\r\n- Add text scenes and text annotations alongside recordings\r\n- AI voiceovers using state of the art text to speech models\r\n- Free music library\r\n- Brand kit–upload your logos, colors and fonts\r\n- Start from our template library or start from scratch\r\n\r\nKite is used by hundreds of YC companies for launch videos, social media posts, landing page demos, changelog updates, feature releases and more.",
    "one_liner": "Screen recorder for stunning product demo videos",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1691634049,
    "tags": [
      "Video",
      "Media",
      "Marketing",
      "Advertising",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kite",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/kite.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kitevideo",
    "x_url": "https://twitter.com/kitevideohq",
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        "full_name": "Derek Feehrer",
        "title": "Founder",
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        "id": 74042,
        "title": "Kite: Apple-style product videos in minutes",
        "tagline": "Kite helps software companies create stunning marketing videos in minutes.",
        "body": "### 🏎️ TLDR\n\nKite helps software companies create stunning marketing videos in minutes. Take a screen recording of your product and turn it into a polished video–no experience required.\\\n\\\n👉 Try out Kite on Mac OS (alpha): [**https://kite.video**](https://kite.video?ref=launchyc)\n\n![uploaded image](/media/?type=post&id=74042&key=user_uploads/282294/6bca3709-f628-4c2b-a533-6fb825209d17)\n\n👋 Hey there!\n\nDerek and Todd from Kite here.\n\n### 🥲 The Problem\n\nTop companies know that the way they present themselves to the world matters. **Great storytelling amplifies great products**.\n\nWhen Apple launches a product—or even the tiniest feature—they don’t just put out a press release or a Tweet. They put on something closer to a cinematic film premiere—using video to craft a story and make their audience truly appreciate their features, one by one.\n\nMost of us aren’t Apple, but need to tell our story all the same. **Nearly every software company needs marketing videos**, not just once, but continuously.\n\nUsers prefer video to text and social algorithms boost it heavily.\n\nThe world is noisy. Every feature release is an opportunity to relaunch your product and tell your company’s story once again.\n\n(Some companies we think crush it with frequent feature launch videos: Framer, Brex, and Vercel).\n\n**The thing is, making great marketing videos is still _really_ hard.**\n\nDerek has been pulling out his hair making startup marketing videos for over a decade, both for his own products and as a contractor.\n\nExisting solutions are either **bland**, **tedious**, or **expensive**:\n\n* **Simple screen captures** work well for internal communication but aren’t great for grabbing attention externally, and tend to all look the same. Attention spans are short, and a lot of software just…isn’t that engaging on its own.\n* You can cobble together **powerful video tools** (After Effects, etc), but you’ll probably spend way longer than you’d like, end up with a janky result, and feel like you should have earned a film degree by the end.\n* Or, you can **hire a video creator** (contractor, agency, or full-time). Tech companies spend a LOT on marketing video creation (We know, we’ve talked to your video people!).\n\n### 🪁 The Solution\n\nOur goal with Kite is to help any software company create studio-quality marketing videos—no studio required.\n\nHere’s a quick Kite video we made for our Product Hunt launch this week:\n\n[ ](https://www.youtube.com/watch?v=u2Gz6JI2KSk)\n\nWe start with **screen capturing** your product. It’s easy. If you can take a Loom, you can take a Kite.\n\n![uploaded image](/media/?type=post&id=74042&key=user_uploads/282294/e83335c6-d414-483e-a806-fd7726d03239)\n\nThen we turn it into a ridiculously professional video—semi-automatically.\n\n* Show off your app on the screen of a **3D device model** (like a laptop).\n* Kite **automatically moves the camera** to follow the action and highlight the features your cursor is interacting with.\n\n![uploaded image](/media/?type=post&id=74042&key=user_uploads/282294/c491535d-1987-4417-a0aa-fca72a90b324)\n\n* Add **animated text** (kinetic typography) with two clicks.\n* Sync it all together to the beat of a music track from our **music library**\n* Check out our tutorial video for more detail:\n\n[ ](https://www.youtube.com/watch?v=o1lhSIGDW98)\n\n(**This entire video was made in Kite**, you can explore the full project file in the app).\n\n### 🛣️ Roadmap\n\nWe want to make Kite more comprehensive and automatic with each update–abstracting away all the tedious parts of making great videos, and giving you all the cool stuff you see in big co-marketing videos for free, so can let your creativity run wild.\n\nWe've only been working on Kite for a few months, but there's a lot coming!\n\n* **AI-assisted video creation**\n  * **LLMs** – Chat with Kite like you’d chat with a video creator. Get help with everything from copy editing and storytelling to animations and fonts.\n  * **Generative AI** – narrations, music, graphics, 3D objects\n  * 3D object scans for physical product demos\n* More **customization**–animations, text effects, music, 3D devices, backgrounds, cursors, etc\n* **Mobile videos** & iPhone screen capture\n* Designer **templates**\n\n### 🔮 The future\n\n* We’re starting with software videos because it’s an area we know well, but we’re not stopping there. We think the web is a more engaging place where everyone can create great videos and we're excited to help create the next generation of **AI-first video tools**.\n\n### 👉 Try out Kite on Mac OS (alpha): [**https://kite.video**](https://kite.video?ref=launchyc)\n\nYou can use the entire product **for free**, just upgrade to remove watermarks.\n\nSend us feedback, bug reports, and questions! [support@kite.video](mailto:support@kite.video)\\\n\\\nDerek & Todd (& Harvey 🐶)\\\nKite\\\n🪁🪁🪁\n\n![uploaded image](/media/?type=post&id=74042&key=user_uploads/282294/816899be-a259-4847-af3a-01e90ec336dc)\n\n",
        "url": "https://www.ycombinator.com/launches/JGE-kite-apple-style-product-videos-in-minutes",
        "votes": 36,
        "created_at": "2023-08-11T23:04:21.633Z"
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    "name": "Docsum",
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    "website": "https://www.docsum.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Docsum is a contract intelligence platform designed for legal and finance teams. Using AI, Docsum extracts critical data like renewal dates, obligations, and more into a searchable database. The platform is fully customizable with features like custom field reporting, alerts, and playbook-powered redlining. Getting started is simple—upload contracts or connect Docsum to tools like Google Drive, DocuSign, and more.",
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    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
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        "title": "🔍 Docsum - AI contract reviewer for legal teams",
        "tagline": "Supercharge your contracting workflows from review to negotiation by 3x",
        "body": "**TL;DR:** [Docsum](https://www.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch) is an AI contract review and negotiation platform. With Docsum, legal, procurement, and sales teams can negotiate and manage contracts 3x faster, to reduce the time to close and win more deals. Docsum works by analyzing and redlining contracts using configurable playbooks owned by lawyers. [Start reviewing your contracts now.](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n\n**Problem**\n\n* Sales teams often own the contracting process from reviewing NDAs to sending out MSAs. **Sales teams are motivated to respond to clients quickly and reduce their time to close** but their ability to review and respond to contract redlines is contingent on collaboration with their legal counsel. **This process can be expensive, time consuming, and hard to manage.**\n* For smaller teams, basic contract review and contract negotiation services with external counsel can be incredibly expensive and time consuming.\n* For larger organizations, in-house counsels are burdened by high matter volumes that often position them as bottlenecks within sales cycles.\n\n### **Docsum — an AI legal copilot for sales teams**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/deadeee1-6bfc-449f-bcac-14ce40fbeed9)\n\n* **Review**: Use Docsum to upload a legal contract and get a comprehensive **summary and ask to our AI attorney questions.**\n* **Analyze**: Get a list of potential red flags and proposed redlines to negotiate with.\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/ee9eca02-f2c7-4c08-8b17-a452edca617a)\n\n* **Playbook**: Upload your redlined contract to get advice on how to respond with **suggested resolutions** sourced from your organization’s configured playbook or from our pre-configured playbook trained by our human attorneys.\n\n### **How is Docsum different?**\n\n* **Extensible**: Currently, we are focused on being the best-in-class legal analysis and contract negotiation tool. We believe we can integrate into your existing contract life cycle processes.\n* **🔌 Interoperable**: We believe the best solutions are integrated where people work so we plan to build an eco-system of tooling which includes our **web application, native Word + Google plugins**, where legal and sales teams work.\n* **💪🏽 Collaborative**: We believe that legal teams are essential for creating and preserving value for organizations. Our hope is to enable organizations to engage their legal counsel in a more strategic and efficient manner. We aren’t trying to replace lawyers with AI.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/041fefbc-316e-4285-958f-947c170c09af)\n\nWe’re [Shaunak](https://www.linkedin.com/in/shaunakturaga/) and [Alex](https://www.linkedin.com/in/alexander-l-leonov/). We’ve been best friends since college and the picture above is us bartending in a horse trailer bar that we built called [Barbox](https://www.instagram.com/barboxraleigh/) — a premium event bartending business which we sold last year.\n\nShaunak has experience as a developer and product manager at Pacaso, OpenTrack, Capital One. Alex has experience as a developer and architect at Pacaso and Fidelity. We worked on growth and global expansion while at Pacaso.\n\n### **Our Ask**\n\n* **Sign up today:** Do you deal with sales contracts? [Sign up to try Docsum today](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n* **Connect with us:** Do you know of any founders, CROs, sales leaders, deal desk teams, general counsels, or transactional attorneys that might be interested in reducing their time to close and achieve more efficient contracting workflows? We would be most grateful if you can connect us! Email us at [founders@docsum.ai](https://mailto:founders@docsum.ai)",
        "url": "https://www.ycombinator.com/launches/J0m-docsum-ai-contract-reviewer-for-legal-teams",
        "votes": 36,
        "created_at": "2023-07-14T18:09:12.155Z"
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    "long_description": "We send founders and recruiting teams  a steady flow of engineers filtered with real engineering judgment.",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Hussein Syed",
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        "id": 77849,
        "title": "Arcimus - AI-powered Insurance Premium Audits",
        "tagline": "Arcimus uses a combination of AI and human judgment in the Insurance Premium Audit process leading to high quality, fast, and cheap audits.",
        "body": "**📌 TLDR**: When you hire employees, you’ll need Workers’ Compensation Insurance. The price for this insurance depends on your payroll and employee duties. Since your payroll and employee duties change annually, you’ll go through an audit process to determine the proper amount you should be paying. In the backend, this process is costly and inefficient, and you probably end up underpaying/overpaying. We use a combination of LLMs and human judgment, leading to higher-quality audits at half the price of traditional audit solutions.\\\n—\n\nHi everyone, we’re [Hussein](https://linkedin.com/in/hussein-syed-44115a164) and [Omar](https://linkedin.com/in/omar-dadabhoy), and we’re creating [Arcimus](https://www.arcimus.com/)! \n\n![uploaded image](/media/?type=post&id=77849&key=user_uploads/977376/187811a1-ef85-43ca-9203-7a8e3eab50b5)\n\n### **📑 Problem:**\n\nWorkers' compensation insurance pricing depends on a business’s total payroll and its employees' duties (a roofer is at higher risk of injury than a Software Engineer). However, these factors change as companies hire/fire and change salaries.\n\nEvery year, insurance companies contract auditing firms or individual premium auditors to hand review their customers’ information. They report changes in total payroll and employee duties, enabling insurance carriers to assign them a new premium.\n\nThis manual process can take auditors 1-3 hours per customer annually and is prone to human error. Insurance carriers are at a high risk of failing state compliance tests and getting fined due to human errors.\n\n### **🤖 Our Solution:**\n\nWe use a combination of LLMs and human judgment to read a customer’s documents and compile their information into the same final report created by premium auditors. We can do this within minutes, at half the cost, and with higher accuracy than any singular auditor.\n\n### **📖 Our Story:**\n\nWe were originally S23 but decided to demo with W24 because we pivoted mid-batch from AI meeting notes (yeah, we know…). \n\nWe talked to dozens of insurance workers and eventually learned about premium auditors. After talking to \\~50 premium auditors, we had an inkling that their processes were ready for innovation. To better understand their jobs, we decided to go back to school in the middle of YC and take a community college class on premium auditing. \n\nLike any other college experience, we graduated from YC with 9-5 jobs as premium auditors. After working as premium auditors for 3 months, we were able to write code to automate parts of the premium audit process. AI and humans together led to unmatched performance and dramatically less cost, better than any auditor alone.\n\n### **🙏 Our Ask:**\n\n**Are you an insurance carrier or premium audit vendor:** We’d love to meet and see how we could fit into your workflow! Email us! \n\n**Customer Intros:** If you have contacts at insurance carriers or premium auditing vendors we'd love an introduction to talk to them! Email us!\n\n\\\nFeel free to reach us at [founders@arcimus.com](mailto:founders@arcimus.com)",
        "url": "https://www.ycombinator.com/launches/KFd-arcimus-ai-powered-insurance-premium-audits",
        "votes": 22,
        "created_at": "2024-01-25T17:30:22.721Z"
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    "name": "CraftOS",
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    "long_description": "CraftOS is how wineries track and sell their wine. 83% of wine production in the US comes from small batch wineries, we provide inventory tracking and POS tools for them.",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1689794207,
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        "full_name": "Wael Al Sallami",
        "title": "Founder",
        "founder_bio": "Founder at CraftOS. Formerly @Square, Weebly. Led the development of Square Online from inception to $100m in annual profits and over $1b in transaction volume.",
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        "title": "Martola – Save time and money on procurement",
        "tagline": "We match Purchase Orders to Invoices to make sure retailers are not overpaying their vendors",
        "body": "Hi everyone! We - [Wael](https://www.linkedin.com/in/walsallami/) and [Kenan](https://www.linkedin.com/in/kenan-kaymakcan/) - are building a platform for retailers to match their invoices with their purchasing orders.\n\n**The Problem: Retailers are overpaying their vendors**\n\nRetailers are juggling a lot of internal and market pressures­–inflation, low margins, high turnover, etc. They don’t have the time and resources to stay on top of their entire operations. As a result, we discovered that they can’t keep track of the discrepancies between purchase orders and vendor payments, leading them to routinely overpay their vendors.\n\n**Solution: Martola, automatic matching between your invoices and purchase orders**\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/af5a9cbe-91a6-4c5c-ade3-5e3d8861bf47)\n\nMartola requires minimal intervention on the retailer’s side, matching the necessary lines on their purchase orders to their invoices and alerting them to discrepancies such as price and quantity mismatch.\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/7ac16502-3481-446b-a1fd-234b738acc5f)\n\nRetailers can follow up with the vendor or update the purchase order on their end.\n\nWe decided to focus on solving this critical pain point as our initial scope. Our long-term vision is to capture retailers by solving for this problem with a clear business case and expand our product suite to address retailers’ other challenges.\n\n**Our ask**\n\n* If you are a retailer and interested in our solution or know any retailer that can be interested, please reach out to us at [founders@martola.com](mailto:founders@martola.com)\n* Investors, please reach out to [founders@martola.com](mailto:founders@martola.com)\n\nThank you from Wael and Kenan\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/8c35052c-c3bd-4a80-8683-a52f0af12752)\n\n",
        "url": "https://www.ycombinator.com/launches/J3N-martola-save-time-and-money-on-procurement",
        "votes": 28,
        "created_at": "2023-07-20T02:29:46.577Z"
      }
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  {
    "id": 28860,
    "name": "Terminal",
    "slug": "terminal",
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    "website": "https://www.withterminal.com/",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Terminal builds telematics data infrastructure for the commercial fleet industry. Commercial auto insurers and fleet software companies, including industry leaders like Intact Insurance, depend on our platform to access GPS, speeding, and vehicle data from 330+ telematics providers. We recently raised our Series A led by Battery Ventures and are backed by Y Combinator, Golden Ventures, Penske Transportation Solutions, and Intact Private Capital. Our team works together in person in Toronto, combining early-stage speed with late-stage maturity while processing many terabytes of vehicle data every day.",
    "one_liner": "Plaid for Telematics Data in Commercial Trucking",
    "team_size": 17,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1686875365,
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      "Logistics",
      "API",
      "Supply Chain",
      "Transportation"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Growth",
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/terminal",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/terminal.json",
    "year_founded": 2023,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/terminal-api",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/terminal-4fea",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/acdabd0c7f626bea58520be4df19e9d87e878e06.png",
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    "company_photos": [
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1241796,
        "full_name": "Raghav Midha",
        "title": "Founder",
        "founder_bio": "CEO & Co-Founder of Terminal (S23)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/raghavmidha",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30612b4ae0879ea6074d7807794790879123ea72.jpg"
      },
      {
        "user_id": 1289192,
        "full_name": "Connor Giles",
        "title": "Founder",
        "founder_bio": "CTO & Co-Founder of Terminal (S23)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/connorgiles",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bfc970951c9a8c1e68b3bf8a49cb348fc1036abd.jpg"
      }
    ],
    "jobs": [
      {
        "id": 91980,
        "title": "Software Engineer, Data Platform",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/ESIucQf-software-engineer-data-platform",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$200K - $295K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Java",
          "Python",
          "Spark",
          "Distributed Systems",
          "Data Warehousing",
          "Kafka"
        ]
      },
      {
        "id": 91982,
        "title": "Software Engineer, Backend",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/ViOLGXo-software-engineer-backend",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$185K - $285K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "TypeScript",
          "Distributed Systems",
          "Serverless"
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      },
      {
        "id": 92203,
        "title": "Founding Partnership Lead - Ecosystem / Product Partnerships",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/vI3TdId-founding-partnership-lead-ecosystem-product-partnerships",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$180K - $220K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101993,
        "title": "Founding Strategic Account Manager",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/a1N7DlM-founding-strategic-account-manager",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$220K - $260K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101994,
        "title": "Founding Customer Engineer",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/yD28Izp-founding-customer-engineer",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K - $235K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101995,
        "title": "Founding Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/DjDVlAK-founding-customer-success-manager",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$135K - $165K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101996,
        "title": "Founding Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/dZFjDfh-founding-technical-recruiter",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$115K - $152K CAD",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101997,
        "title": "Founding Product Marketing Lead",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/MLblJgt-founding-product-marketing-lead",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$180K - $220K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Semi-Related Podcast - Integration innovation | Raghav Midha of Terminal",
        "url": "https://optym.com/semi-related-podcast/integration-innovation-raghav-midha-of-terminal",
        "date": "Apr 24, 2025"
      },
      {
        "title": "Terminal raises $3.1M, wants to be the ‘Plaid of trucking’ - FreightWaves",
        "url": "https://www.freightwaves.com/news/terminal-raises-3-1m-wants-to-be-the-plaid-of-trucking",
        "date": "Dec 12, 2023"
      },
      {
        "title": "Meet the Y Combinator Summer 2023 cohort startups with Canadian connections | BetaKit",
        "url": "https://betakit.com/meet-the-y-combinator-summer-2023-cohort-startups-with-canadian-connections/",
        "date": "Sep 06, 2023"
      }
    ],
    "launches": [
      {
        "id": 72500,
        "title": "Terminal: Plaid for Telematics 🚚",
        "tagline": "Companies building insurance products and fleet software for trucking can use our API to access GPS data, speeding data and vehicle stats.",
        "body": "![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/74a6448c-c325-45e1-be23-8766bfd032e7)\n\n## **📌 TL;DR**\n\n_Companies building products for transportation, logistics and fleet management spend 30%-40% of their engineering capacity on integrations - this is expensive, undifferentiated work that takes their time away from working on actual customer problems. Terminal (_[_withterminal.com_](http://withterminal.com)_) is a Universal API for Telematics that makes it easy for these teams to integrate all of the top telematics platforms into their application without needing to worry about the complex underlying details._\n\n## 😰 **Problem**\n\nOur customers include (but are not limited to): insurance companies, fuel cards, invoice factorers, fleet management systems, digital freight brokers, load boards and transportation management systems. These folks need access to telematics data to support their end-users who are trucking companies and commercial fleets. Integrating telematics is often a must-have for them and there’s typically a direct correlation between their number of supported integrations and their sales closure rate.\n\nThe telematics market is fragmented, with hundreds of available platforms, each with their own type of integration (REST, SOAP, etc.), and documentation that is not always available. Companies that need to integrate into these vendors have large integration teams and are still unable to meet their customers' demand.\n\n## **🔮 Solution**\n\nTerminal's Universal API for Telematics enables companies to support all of the leading telematics platforms through a single integration. Similar to Plaid and Stripe - our mission is to increase the innovation velocity of transportation, logistics and fleet management through making fleet data more accessible.\n\nWe provide a white-labelled **User Interface** for fleet managers to grant access to telematics data like GPS, vehicle stats, driver hours and safety events.\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/c7ebf48f-6014-4192-adc8-5eed6aef0aa9)\n\nOnce a fleet manager grants access, we extract, normalize, enrich, and sync the data for our customer. We also offer common data models, webhooks and access to raw telematics data to make it easy for customers to integrate. You can learn more about how it works in our [**API Documentation**](https://terminal.stoplight.io/docs/terminal).\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/9b511455-57e1-4ced-a523-df860d3e67a8)\n\nCustomers also receive a **Support Portal** for managing their integrations, customer connections and data syncs.\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/42b9409c-1fbe-4a22-bb93-5d685c91598d)\n\n## **😇 Ask**\n\nIf you know any companies that currently integrate or are looking to integrate with telematics, please let us know at [**founders@withterminal.com**](mailto:founders@withterminal.com).",
        "url": "https://www.ycombinator.com/launches/IrM-terminal-plaid-for-telematics",
        "votes": 62,
        "created_at": "2023-06-24T00:00:20.370Z"
      }
    ]
  },
  {
    "id": 28862,
    "name": "Corgea",
    "slug": "corgea",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f659e1a5051b790e28f097f1c858880dc797b7f.png",
    "website": "https://www.corgea.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Corgea is an autonomous application security platform that finds and validates vulnerabilities, then generates safe code fixes developers can apply in their existing workflow. In production customers like Zapier and Yageo, see ~20% more true positives and ~90% fewer false positives (vs their prior tooling), reducing triage and speeding remediation without adding headcount.\r\n",
    "one_liner": "Corgea finds, and fixes insecure code and packages autonomously. ",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1686005960,
    "tags": [
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      "SaaS",
      "Security",
      "Cybersecurity",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/corgea",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/corgea.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/corgea/",
    "x_url": "https://twitter.com/CorgeaInc",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/corgea",
    "github_url": "https://github.com/Corgea",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f659e1a5051b790e28f097f1c858880dc797b7f.png",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 65616,
        "full_name": "Ahmad Sadeddin",
        "title": "Founder",
        "founder_bio": "Ahmad is the founder and CEO of Corgea, which is his 3rd startup. His last one was acquired by Coupa. He spent the last 3 years of his tenure there leading the payments product where he worked on making sure their products were secure.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/asadeddin",
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    ],
    "jobs": [
      {
        "id": 69626,
        "title": "Senior software engineer - California",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/BkQzEJ1-senior-software-engineer-california",
        "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 69628,
        "title": "Senior software engineer - Jordan",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/28hnjyF-senior-software-engineer-jordan",
        "location": "JO / Remote (JO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$20K - $65K",
        "equity_range": "0.10% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81750,
        "title": "Software engineer - Jordan",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/4ikDBbl-software-engineer-jordan",
        "location": "JO / Remote (JO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$17K - $40K",
        "equity_range": "0.10% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81751,
        "title": "Software engineer - California",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/Fj7nVVP-software-engineer-california",
        "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.25% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83239,
        "title": "Security Researcher",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/flq0ShW-security-researcher",
        "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $220K",
        "equity_range": "0.25% - 0.75%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "Information Security",
          "Software Security"
        ]
      },
      {
        "id": 91598,
        "title": "Founding DevOps Engineer - California",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/5adGCih-founding-devops-engineer-california",
        "location": "San Francisco, CA, US / Remote (US; CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$100K - $210K",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 91601,
        "title": "Founding DevOps Engineer - Jordan",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/AxEYjCf-founding-devops-engineer-jordan",
        "location": "JO / Remote (JO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$25K - $42K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": " Introducing PolicyIQ: Contextual Security Analysis for Smarter, More Accurate Results - Corgea - Home",
        "url": "https://corgea.com/blog/introducing-policyiq-contextual-security-analysis-for-smarter-more-accurate-results",
        "date": "Jan 15, 2025"
      },
      {
        "title": "Corgea’s raises $2.6 Million Seed Round",
        "url": "https://en.incarabia.com/shorooq-partners-leads-corgea%E2%80%99s-us26-million-seed-round-694875.html",
        "date": "Nov 06, 2024"
      },
      {
        "title": "Corgea Recognized as an IDC Innovator for DevSecOps Automated Remediation",
        "url": "https://corgea.com/blog/corgea-recognized-as-an-idc-innovator-for-devsecops-automated-remediation",
        "date": "Sep 18, 2024"
      }
    ],
    "launches": [
      {
        "id": 103899,
        "title": "Corgea: Agentic Pentesting",
        "tagline": "An autonomous penetration testing engine that runs in hours and not weeks",
        "body": "[**Corgea AI Pentesting**](https://corgea.com/products/ai-pentest): an autonomous penetration testing engine that uses AI agents to plan, execute, validate, and report security tests. It doesn’t run a checklist. It reasons about your application.\n\n<https://www.youtube.com/watch?v=wzvUiEr8I2c>\n\n## The numbers\n\nIn a recent pentest:\n\n* **Corgea found 25 findings.** The human pentester found 6.\n* **Delivery time: 4-8 hours.** The human pentest took 2 weeks.\n\n![Corgea AI Pentesting findings overview](https://corgea.com/cms/blog/introducing-ai-pentesting/image-3.png)\n\n## How it works\n\nMost autonomous pentesting tools are black-box scanners with better marketing. They probe endpoints against a generic vulnerability checklist and produce a PDF full of theoretical findings that security teams have to triage manually.\n\nCorgea takes a fundamentally different approach. The engine operates like a real pentesting team.\n\n**Multi-agent architecture.** Not a single scanner. Corgea spawns a coordinator agent that assigns specialized sub-agents (an authentication discovery agent, an API exploration agent, a SQL injection expert agent) based on what it discovers. These agents collaborate, share findings, and build on each other’s discoveries. For complex targets, Corgea can spawn hundreds of agents.\n\n![Corgea AI Pentesting multi-agent execution view](https://corgea.com/cms/blog/introducing-ai-pentesting/image-1.png)\n\n**Code-aware, not black-box.** The engine ingests code context, dependency data, infrastructure configuration, and business logic. It uses your existing [AI SAST](https://corgea.com/products/ai-sast) findings for white-box pentesting, exploiting vulnerabilities at runtime that static analysis already identified. This combination of static insight and dynamic testing dramatically amplifies what the engine can find.\n\n**Dynamic adaptation.** Corgea’s agentic architecture is not fixed. The system continuously adapts its strategy based on what it learns about the target, dynamically scaling the number of agents, their responsibilities, and their specialization. It doesn’t follow a one-size-fits-all workflow.\n\n**Exploitability validation built in.** Corgea doesn’t report theoretical vulnerabilities. Agents validate exploitability during the test itself, confirming a finding can be triggered, capturing evidence, and explaining business impact. This eliminates the triage burden that makes traditional pentest reports a firehose of unverified findings.\n\n![Corgea AI Pentesting exploit reproduction script](https://corgea.com/cms/blog/introducing-ai-pentesting/image-2.png)\n\n## The pipeline\n\n1. **Environment setup.** Corgea provisions a Linux-based sandbox with a full suite of security tools for crawling, discovery, reconnaissance, and exploit validation.\n2. **Scope and context ingestion.** Target scope, endpoints, API documentation, auth flows, user roles, business logic context, and optional code/repo context. Both authenticated and unauthenticated.\n3. **Attack surface discovery.** Maps reachable routes, APIs, parameters, forms, auth boundaries, authorization-sensitive workflows, and exposed services.\n4. **Autonomous test planning.** AI agents reason about application structure and generate test plans for broken access control, IDOR, authentication bypass, injection, SSRF, insecure file handling, sensitive data exposure, and business logic abuse.\n5. **Safe execution and validation.** Hundreds of sub-agents execute probes, observe responses, adapt based on application behavior, and validate exploitability.\n6. **Evidence generation.** For confirmed issues: affected endpoint, payload or request sequence, response evidence, exploitability reasoning, severity, business impact, and remediation recommendation.\n7. **Developer-native remediation.** Findings go directly into developer workflows (PR comments, Jira tickets, Slack notifications, CI/CD pipelines) with reproduction steps, code context, and suggested fixes.\n8. **Reporting.** Findings converted into reports for management, auditors, and customers.\n\n## Supervised autonomy\n\nAutonomous doesn’t mean uncontrolled. Humans remain in control of:\n\n* Defining and approving test scope\n* Setting rules of engagement\n* Approving aggressive or potentially disruptive testing\n* Reviewing sensitive findings\n* Accepting final pentest reports\n* Making risk decisions for production environments\n\nCorgea automates the repetitive and technically complex parts. Humans own the risk decisions.\n\n## Continuous, not point-in-time\n\nTraditional pentesting delivers a PDF report weeks after testing begins. By the time you read it, your application has changed.\n\nCorgea supports both one-time and continuous autonomous pentesting. Retesting is automatic after remediation. Findings close the loop between discovery, fix, and verification in hours, not waiting for the next quarterly cycle.\n\n## Ready to Ditch Security Theater?\n\nIf you're tired of checkbox pentests:\n\nBook a call: <https://corgea.com/demo> \n\nEmail us: sales@corgea.com",
        "url": "https://www.ycombinator.com/launches/R1n-corgea-agentic-pentesting",
        "votes": 18,
        "created_at": "2026-06-24T15:40:00.793Z"
      },
      {
        "id": 77558,
        "title": "🐕 Corgea - Easily and quickly fix vulnerable code using AI",
        "tagline": "We make it easy for companies fix vulnerable code by automating away 80% of the engineering work needed. ",
        "body": "**TL;DR**: Corgea helps companies fix vulnerable source code. It is an AI-powered security platform that writes security patches for engineer approval, saving 80% of the engineering effort needing and $$$. Having Corgea is like having a security engineer on staff constantly focused on making your code more secure. \n\nHi YC! This is Ahmad, and along with Adam, Pratik and Tamara we’re building [Corgea](https://corgea.com/).\n\n![uploaded image](/media/?type=post&id=77558&key=user_uploads/65616/fd08a653-a912-4b81-8d59-cfb4c56e0d95)\n\n### 🕳️ Unresolved holes in software\n\nCompanies scan their code for security vulnerabilities, and are often met with a big pile of findings. On average, companies take 3 months to fix a vulnerability, and 60% of breach victims were aware of the unpatched vulnerability that was exploited.\n\nWhy? This is because engineers prioritize revenue-generating work, often leaving security fixes lower in priority. It is also really expensive for companies to fix vulnerabilities, costing them between $400 - $4,000 per fix. Unacceptable in today’s environment of more frequent security breaches and increasingly sophisticated attacks.\n\nSecurity teams kept complaining to us that all of their hundreds (yes hundreds) of security tools alert them about issues without giving them a way to actually resolve the issues automatically. This leaves security teams hanging high and dry.\n\n### 🐕 What does Corgea do?\n\nWe’re approaching one of the hardest problems in security with an entirely new approach. Unlike other tools that have been vehemently obsessed with just reporting on vulnerabilities, Corgea fixes them.\n\nCorgea connects to your existing SAST (Static application security testing) tools, like Snyk and Semgrep, and automatically writes code fixes for the reported vulnerabilities. Security teams can issue a pull request for the fix with a single click without disrupting any workflows. Engineers get the code fix for review, and well written descriptions helping them understand the changes.\n\nFor example, Corgea can rewrite code and issue PRs to fix SQL injection, path traversal, SSRF, or hundreds of other vulnerabilities. Here’s a brief demo to show Corgea’s capabilities.\n\n[Fixing Issues using Corgea - Watch Video](https://www.loom.com/share/318f06b97dac48628971bb52db372fb8)\n\n![](https://cdn.loom.com/sessions/thumbnails/318f06b97dac48628971bb52db372fb8-1702061376925-with-play.gif)\n\n### ✅ Empowering Security and Freeing up Engineering\n\nSecurity is often perceived as a blocker to engineering, and vice versa. With Corgea, we’re empowering security teams to be able to take action while also accelerating engineering velocity. This fundamentally changes the dynamic between teams.\n\n* **💪 Stronger code:** companies can now secure their products and reduce their fix times to hours without taxing engineering. Many prospects we spoke to have tens of thousands of vulnerabilities that now has a fighting chance in reducing them.\n* **🚀 Increase engineering velocity:** since Corgea is issuing the code fix, we see up to an 80% savings in time engineers spend fixing security issues. Security can now be an enabler to engineering rather than a blocker.\n* **💰 Slash Costs:** Research shows that a single vulnerability takes about $400 - $4,000 to fix. Corgea reduces these costs by up to 80%. Many enterprises can expect to save at least $10m in direct development costs. This doesn’t account for breach cost savings.\n\nOften, security software lacks a clear return on investment or value proposition. They are frequently bought due to fear, uncertainty, and doubt. At Corgea, our belief is that security software needs to lead first with real value and a clear ROI.\n\n### 🌟 How is Corgea different than existing solutions?\n\nThe current market is flooded with tools that overwhelm security teams with alerts and are not effective at fixing what they’re reporting.\n\n* General code-gen tools do not specialize in security and we’ve seen them inadvertently introduce security issues unbeknownst to the engineer. Additionally, they often do not integrate into a wider ecosystem of tools, preferring to focus solely on their own findings.\n* Most SAST & SCA vulnerability scanners do not remediate issues. Many tout this but it’s mostly limited to upgrading packages from one version to another to reduce a CVSS. This often introduces downstream challenges. If they do offer CWE remediation capabilities their success rates are very low because they’re often based on traditional AI methodologies. Finally, they do not integrate into a wider ecosystem of tools because they want to only serve their own findings.\n\nEnterprises often use multiple scanners like Snyk, Semgrep, Checkmarx, and may have multiple repository tools like Github, Gitlab and Bitbucket for their code. They need a solution that consolidates across their existing tools.\n\n### 👩🏽‍💻 Who is building Corgea?\n\nEach member of the Corgea team has experienced the challenges of addressing vulnerabilities in both security and engineering. We first hand witnessed the frustration of teams in wanting to deliver on high quality feature-rich secure software. Our goal is to shatter the silos between the teams and empower both of them rather than empower one at the expense of the other.\n\nIn our prior roles, we designed, secured and built mission-critical software products at companies like of Coupa, Autodesk, and PlanGrid.\n\n### 🎉 Want to try it?\n\nWe’re really excited to help companies in automating the security of their source code. [Use Corgea today](https://www.corgea.app/registration/) for free and without a credit card. Setup takes less than a few minutes. Feel free to [reach out to us](https://calendly.com/asadeddin/30min?month=2024-01) to chat and get a more in-depth demo.",
        "url": "https://www.ycombinator.com/launches/KAw-corgea-easily-and-quickly-fix-vulnerable-code-using-ai",
        "votes": 24,
        "created_at": "2024-01-16T16:32:31.262Z"
      },
      {
        "id": 73406,
        "title": "🐕 Corgea - Enterprise data security and privacy",
        "tagline": "Empowering enterprises to secure sensitive data",
        "body": "Hi everyone!\n\nWe’re building [Corgea](https://corgea.com?utm_source=yc&utm_medium=cpc&utm_campaign=yc_launch&utm_id=yc_launch) - a data security and privacy platform that automates sensitive data protection and compliance in the products companies make.\n\n### [**🚩**](https://emojipedia.org/triangular-flag/) **The Problem**\n\nCompanies process sensitive data, but don't know what it is, and who they share it with. They can’t protect and make private what they don’t know they have and what it is. Additionally data protection requires a lot of different stakeholders to come together, and they lack the proper tools to collaborate around it.\n\n### [**⚡**](https://emojipedia.org/high-voltage/) **How does it work?**\n\nCorgea monitors data traffic, classifies sensitive data (e.g., PII, PHI, payment data), and maps where it came from and who it's being shared with. It then tells you which data protection and privacy policies you need to comply with.\n\nCorgea is unique because you can set it up using 300+ out-of-the-box connectors in hours with no IT integration work.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/f206fe9c-e12f-4749-9946-5567453cecb7)\n\n### [**🧰**](https://emojipedia.org/toolbox/) **What can you do with Corgea?**\n\nHaving this information at your fingertips gives you super powers to be able to:\n\n* Unlock revenue by making data protection your competitive advantage\n* Reduce your attack surface vector of your infrastructure\n* Accelerate breach response\n* Know which 3rd parties receive sensitive data\n* Understand your data compliance requirements\n* Receive alerts for out-of-policy data events\n* Perform data minimization\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/dad1dd93-4e77-4560-95b3-cda61b090fc6)\n\n### [**📖**](https://emojipedia.org/open-book/) **The Story**\n\nOne day, Ahmad received a massive excel sheet to fill out for a data privacy initiative. By the end of it, he had curated hundreds of data fields manually, and identified where they came from and where they were sent to. Feeling how inefficient this was for the company, he decided to automate it by building Corgea.\n\nAhmad previously led the payments product at Coupa and founded 2 other companies before Corgea. His last company was acquired by Coupa.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/437a87ab-4bc7-47d8-b8a8-9c81c8f0d034)\n\n### **🚀 Team**\n\nAhmad is joined by an amazing team all with experience in working and building software in regulated data environments such as HIPAA, FedRamp, PCI, ITAR, and data privacy.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/c345a149-ae43-472e-a09c-ff7895239bf9)\n\n### [**❤️**](https://emojipedia.org/red-heart/)**Interested?**\n\nIf you are a company processing sensitive data, and want to unlock revenue while being compliant then [**schedule a call with us**](https://l.linklyhq.com/l/1rIbH)!\n\nCompanies that sign up before Aug 30th are eligible for **50% off**!",
        "url": "https://www.ycombinator.com/launches/J5y-corgea-enterprise-data-security-and-privacy",
        "votes": 43,
        "created_at": "2023-07-25T14:47:43.101Z"
      }
    ]
  },
  {
    "id": 28863,
    "name": "Serra",
    "slug": "serra",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de1a90717852abf9734482354e7229c962c19089.png",
    "website": "https://www.serra.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Serra is an AI recruiter that fully automates candidate sourcing and outreach, finding ideal talent from LinkedIn, GitHub, Crunchbase, and your ATS. Companies hiring Serra skip sourcing entirely and simply get qualified interviews on their calendar.",
    "one_liner": "Your 24/7 AI Recruiter",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1689272119,
    "tags": [
      "Recruiting",
      "HR Tech",
      "Enterprise Software",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Recruiting and Talent"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/serra",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/serra.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/serraio/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/Serra-Technologies",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de1a90717852abf9734482354e7229c962c19089.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1241137,
        "full_name": "Alan Wang",
        "title": "Founder",
        "founder_bio": "Co-founder/CEO @ Serra. Former Data Engineer at Disney+. UCLA Stats + Data Science.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alanhlwang",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d5e8e535f08b4b0844dc4bfc4e16d1c99f22353.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 94993,
        "title": "Serra — The AI Recruiter That Hires Through Your Network",
        "tagline": "Find the best talent in your team's network and outside of it. ",
        "body": "Hey YC community! 👋 We’re the cofounders of [Serra](https://serra.io/) — an AI recruiting agent that automates sourcing, outreach, and warm introductions through your team’s network.\n\nCompanies like Waymo, Verkada and Replit use Serra to skip manual sourcing and get qualified interviews straight on their calendar.\n\nTell your agents who you’re looking for, and Serra will use your team’s combined network, LinkedIn, Github, and Crunchbase to find the right people and who can intro you to them.\n\n![uploaded image](/media/?type=post&id=94993&key=user_uploads/1241137/3894ace7-4e45-4e49-b12e-ed243d06f2ef)\n\n\n![uploaded image](/media/?type=post&id=94993&key=user_uploads/1241137/9a73d72e-2304-4235-bafa-faa179b7b35e)\n\n\n### **Why we built it**\n\nRecruiters and founders spend most of their week manually searching LinkedIn, sending cold messages, and juggling tools.\n\nEvery company already knows thousands of great candidates through its employees—but that data just sits unused.\n\nSerra combines **outbound search** + **your team’s connections** to find warm paths to the best talent.\n\nIt drafts personalized outreach, tracks replies, and books interviews automatically.\n\n---\n\n### **What’s happened so far**\n\n* Serra has made hires for \\~100 companies like Replit, Verkada, and EquipmentShare\n* 5–10× higher reply rates on warm intros vs. cold outreach\n* Average recruiter saves 15 hours per role\n\n### **What’s next**\n\nWe’re expanding our **AI Referral Network** so that every recruiter and employee in a company contributes to a shared warm graph.\n\nThat means smarter recommendations, faster hires, and a compounding network effect with every new user.\n\nIf you’re a founder or recruiter who’s tired of cold sourcing, give Serra a try: https://serra.io/contact",
        "url": "https://www.ycombinator.com/launches/Oi9-serra-the-ai-recruiter-that-hires-through-your-network",
        "votes": 15,
        "created_at": "2025-10-29T03:19:26.500Z"
      },
      {
        "id": 89379,
        "title": "Serra 🧑‍🏫 Your 24/7 AI Recruiter",
        "tagline": "Serra is your AI-powered recruiting assistant that sources and engages ideal candidates nonstop, letting your team focus on hiring—not searching.",
        "body": "Hey YC community 👋\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/in/albertjstanley/) here! We're excited to introduce Serra—the fully autonomous AI Recruiter that transforms how startups find and engage talent.\n\n**🚀 TL;DR**\\\nSerra autonomously handles your candidate sourcing 24/7. It identifies, evaluates, and engages top-tier talent so your recruiting team can focus on meaningful human interactions.\n\n📺 **See Serra in action:** <https://youtu.be/G2vqwf80LJY>\n\n**❌ The Problem**\\\nTalent sourcing today is still manual, inefficient, and repetitive. Recruiters spend countless hours creating Boolean search strings, sifting through profiles, and handling outreach manually—taking precious time away from meaningful interactions. This slows down hiring, increases costs, and risks missing top candidates.\n\n**🤖 Our Solution**\\\nSerra is your AI-powered sourcing partner, working around the clock to:\n\n* **Find ideal candidates** across LinkedIn, GitHub, and your ATS.\n* **Automatically review and shortlist** candidates by precisely matching your criteria.\n* **Engage proactively** via personalized, automated outreach sequences directly through LinkedIn and email.\n* **Continuously source** new talent, keeping your pipeline fresh without manual effort.\n\nSerra ensures your recruiting team spends their valuable time engaging and hiring the best candidates—not searching databases.\n\n**🛠️ How It Works**\\\nSimply talk or type your hiring criteria into Serra:\n\n> \"Hi Serra, find me a technical Head of Product at Series B-D startups, preferably with co-founding experience and recent promotions.\"\n\nSerra clarifies any additional details, conducts exhaustive searches, vets profiles automatically, and starts personalized candidate outreach—all autonomously.\n\n**📖 Our Story**\\\nWe built Serra after talking to dozens of YC founders experiencing firsthand the pain of inefficient sourcing in high-growth startups. The goal became very simple: help companies build better teams, faster.\n\n**🎯 Our Ask**\n\n* **Are you hiring or scaling your team?** We’d love you to try Serra firsthand. Visit [serra.io](http://serra.io/) and mention YC for priority onboarding.\n* **Know someone who could benefit from automated sourcing?** Introductions are greatly appreciated!\n\n👉 **Reach out directly:** [founders@serra.io](mailto:founders@serra.io)\n\nLet Serra handle the heavy lifting so your team can focus on what matters most—your people. Excited to hear your thoughts!\n\nCheers, \\\nThe Serra Team",
        "url": "https://www.ycombinator.com/launches/NFb-serra-your-24-7-ai-recruiter",
        "votes": 10,
        "created_at": "2025-04-10T16:44:46.577Z"
      },
      {
        "id": 83930,
        "title": "Serra — Find the best talent using AI",
        "tagline": "AI search engine to find the best talent to hire",
        "body": "**✅ Value-Prop:**\n\nCutting down time to hire + increasing quality of candidates top-of-funnel. Try us out at cloud.serra.io.\n\n**TLDR;**\n\nInstead of manually selecting keywords and reviewing candidates one by one, recruiters can search in plain English on Serra and instantly see the best matches, with all their research done for them. Serra now has \\~1 billion candidates in their database, emails and phone numbers included. Watch our demo [here.](https://youtu.be/KWGNcVFMH_k)\n\n---\n\n---\n\n—\n\nHey everybody! We’re Alan and Albert, and we built Serra to speed up time- and increase quality-of-hire for founders and recruiters. We reached out to dozens of founders at Series A and B YC companies and found that hiring the right people, faster, was a recurring painpoint.\n\n**❌ Problem:**\n\nHiring requires sorting through hundreds of resumes, reaching out to dozens of candidates, and buying expensive search licenses that still rely on outdated keyword matching. Candidates can game ATS filters by stuffing their profiles with keywords. This wastes months of time and money, often leading to poor hires and this cycle repeating itself.\n\n**✅ Solution:**\n\n![uploaded image](/media/?type=post&id=83930&key=user_uploads/1241137/27d9b45c-baa7-432c-a325-bb145e9d9c3d)\n\nSerra is a vector-based search engine that focuses on understanding the context of each profile. It delivers more accurate matches based on what you actually asked for rather than relying on exact keyword matches. Serra utilizes LLMs to rank and research millions of candidates simultaneously.\n\nSerra fact-checks what candidates put on their profiles—if a candidate claims they have experience in training and deploying machine learning models in production, Serra checks GitHub for tangible evidence.\n\nSerra can also hook up directly to your ATS, allowing you to apply the same search benefits to candidates inside of it.\n\n**❓Ask from us:**\n\nTry us out with 2 free searches at [cloud.serra.io](http://cloud.serra.io)!\n\nFor founders aggressively hiring and looking to source better talent faster, book a demo [here](https://calendar.app.google/ZiqkQL11E458DAV8A) or drop us a note at [alan@serra.io](mailto:alan@serra.io)!",
        "url": "https://www.ycombinator.com/launches/Lpi-serra-find-the-best-talent-using-ai",
        "votes": 13,
        "created_at": "2024-09-11T04:01:03.076Z"
      },
      {
        "id": 82024,
        "title": "🔍 Serra: AI-powered candidate search",
        "tagline": "Search engine for recruiters to find best-fit candidates.",
        "body": "**tldr;** [Serra](https://www.serra.io/) is an AI-driven search engine for recruiters to find best-fit candidates, both within their ATS and outside of it. \n\n![uploaded image](/media/?type=post&id=82024&key=user_uploads/1241137/9b4c6415-ec10-49a2-9543-f352447ab2bb)\n\nHi everyone, 👋 [Alan](https://linkedin.com/in/alanhlwang) and [Albert](https://linkedin.com/in/albertjstanley) here—we’re best friends from UCLA and co-founders of Serra!\n\n### **⛔️ The Problem**\n\nIdentifying best-fit candidates, both inbound and outbound, is time-consuming, manual work for recruiters.\n\nThis leads to longer hiring times, missed opportunities, and suboptimal hiring decisions.\n\n### **✅ Our Solution**\n\nSerra is a search engine for recruiters to find the best-fit inbound and outbound candidates.\n\nConnected to your ATS and external candidate sources, recruiters can search “B2B sales reps that have managed key enterprise accounts” and see top matches.\n\nSerra improves on keyword matching by understanding the context of candidates' profiles, ensuring you receive the most accurate results.\n\n**Key Features:**\n\n* **🔦 Analyze Inbound Applicants**: Uses vector search, GPT to sift through thousands of applications in your ATS for signal.\n* **🔍 Conduct Outbound Searches**: Scans external candidate databases to find profiles that match specific job requirements.\n* **🚚 Deliver Actionable Insights**: Get ranked candidate results, classify candidates, and automate pre-screening Q&A collection.\n* **📊 Visualize Results:** Get dashboards that track hiring efficiency, candidate engagement, and long-term employee performance.\n\n### **❓Our Ask**\n\nDrowning in inbound applications? Looking to speed up your hiring times while maintaining the quality of hires? Try out Serra to improve the quality and speed of candidates entering your recruitment funnel. Here's how you can get started:\n\n* **Demo and Consultation**: If you’re a startup that’s hiring and want a demo or wish to discuss your recruitment needs further, please book a call with us [here](https://calendar.app.google/b8ytpup7wg3EpgAX7) or shoot me an email at [alan@serra.io](mailto:alan@serra.io)!",
        "url": "https://www.ycombinator.com/launches/LKy-serra-ai-powered-candidate-search",
        "votes": 14,
        "created_at": "2024-07-10T14:03:16.813Z"
      },
      {
        "id": 73883,
        "title": "🔹Serra - Simplify SQL with one command",
        "tagline": "SQL to PySpark Translator",
        "body": "**tl;dr:** never deal with unintuitive 1000+ line SQL scripts again. [Serra](https://github.com/Serra-Technologies/serra) simplifies SQL into modular PySpark objects that are much faster to run, reuse, and debug. Check out our repo [here](https://github.com/Serra-Technologies/serra)!\n\nHey everyone! We’re back again to announce the open-source launch of Serra—never deal with unintuitive 1000+ line SQL scripts again.\n\nWe’re also launching the beta of our translate feature with a free week trial! Get an easy starting point/suggestion for simplifying your SQL scripts into PySpark objects by running _serra translate your_script.sql_.\n\n![uploaded image](/media/?type=post&id=73883&key=user_uploads/1241137/65845ad3-4950-4357-a32b-dcd33981816f)\n\n### **❌ Problem:**\n\nSQL scripts are huge, messy, and hard to debug. Declarative, monolithic SQL gets overwhelming quickly for data analysts, scientists, and engineers—leading to huge time sinks and data outages.\n\n### **😌 How do we solve it?**\n\nWe’re a low-code ETL framework that simplifies SQL into modular PySpark objects that are much faster to run, reuse, and debug. Think end-to-end dbt with the benefits of object-oriented Spark!\n\nWe wrap all of this into a command-line tool that allows you to create your own PySpark jobs, run them locally, and simplify your SQL scripts to PySpark.\n\n### **👏 The Team**\n\n![uploaded image](/media/?type=post&id=73883&key=user_uploads/1241137/f1469834-d630-417d-942a-c9efec1a8e0d)\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAABvJV34B9Kn2x938wSRljsdtR_Vu8-sNKUg&keywords=albert%20stanley&origin=RICH_QUERY_TYPEAHEAD_HISTORY&position=0&searchId=2590d498-3822-4c87-904c-47bec49bccd6&sid=DN6) are best friends from middle school Algebra. Alan is an ex-Data Engineer at Disney+ and a Statistics & Data Science alum from UCLA. Albert is an ex-Software Engineer at Amazon Alexa and a UCLA Master’s graduate in Computer Science.\n\n### **Asks:**\n\n* Check out (and star 🤩) the repo: <https://github.com/Serra-Technologies/serra>\n* Intros to any companies struggling with their SQL/data workflow—we’ll help retool their data workflow! Email us at [founders@serra.io](mailto:founders@serra.io).\n* Try it out yourself by doing a pip install of serra! For setup help feel free to reach out—make sure you have python >= 3.10 installed!).",
        "url": "https://www.ycombinator.com/launches/JDf-serra-simplify-sql-with-one-command",
        "votes": 10,
        "created_at": "2023-08-07T21:28:44.592Z"
      },
      {
        "id": 73132,
        "title": "🔹 Serra - Low-code, modular SQL",
        "tagline": "Python-based dbt alternative",
        "body": "**tl;dr:** [Serra](https://www.serra.io) takes a 200-line SQL script and reduces it to a few lines of code. Serra simplifies complex pipeline logic with reusable testable objects, saving hours of development and maintenance time.\n\nHi everyone! We’re Alan and Albert, the best friends behind Serra. We want to simplify ETL so that even your dad (👨🏻) can maintain a data pipeline.\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/e069458b-6108-48e2-b2b2-33304afc6880)\n\n### **❌ The Problem**\n\nCompanies spend **$520K** annually building and maintaining data pipelines.\n\nData engineers spend **44% of their time** fixing pipelines that inevitably crash.\n\n> **12 data engineers** \\* **$98K salary** \\* **44% of their time** = **$520K** ([Fivetran](https://get.fivetran.com/rs/353-UTB-444/images/2021-CDL-Wakefield-Research.pdf))\n\nSo why do data pipelines crash and burn?\n\n* Complex scripts\n* Limited alerting, debugging\n* Inadequate testing\n\nAll of these make data pipelines a nightmare to fix, especially at 3am.\n\n## **✨ Our Solution**\n\n**Serra is a python-based DBT alternative that takes a 200-line SQL script and reduces it to just a few lines of code.**\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/7eec5a59-66c0-4007-9b22-efd89aa5e2ca)\n\nSerra’s framework emphasizes software engineering best practices like **readability, testability, modularity, and reusability**.\n\nSerra **simplifies** complex SQL scripts to just a few lines of Python code with modular transformers and in-house connectors.\n\nSerra provides **fully-customizable error logging** for every transformer and connector.\n\nWith a command line tool, developers can easily create pipelines, auto document them, **run local tests**, and **run jobs with their favorite data warehouse.**\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/0588746d-9b72-4e91-bc4f-cea9e6eab736)\n\n## **🤔 How are we different from DBT?**\n\nSerra is not tied to SQL and therefore handles all parts of ETL. Serra provides intuitive control flow, more complex transforms with Python, full streaming support, and comprehensive debugging/testing capabilities.\n\n## **👏 The Team**\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAABvJV34B9Kn2x938wSRljsdtR_Vu8-sNKUg&keywords=albert%20stanley&origin=RICH_QUERY_TYPEAHEAD_HISTORY&position=0&searchId=2590d498-3822-4c87-904c-47bec49bccd6&sid=DN6) are best friends from middle school Algebra. Alan is an ex-Data Engineer at Disney+ and a Statistics & Data Science alum from UCLA. Albert is an ex-Software Engineer at Amazon Alexa and a UCLA Master’s graduate in Computer Science.\n\n## **🙏 Ask**\n\nTry out our live demo [here](https://replit.com/@serra-technologies/SerraDemo) (fork the Replit)!\n\nIf you like what you see, join our [waitlist](https://www.serra.io) and [Discord](https://discord.gg/3VbvqWbE)!\n\nIntros to any data engineers, data leaders, Databricks users, and anyone from companies that are trying to optimize their ETLs would be amazing. Please reach out at [founders@serra.io](mailto:founders@serra.io)!",
        "url": "https://www.ycombinator.com/launches/J1Y-serra-low-code-modular-sql",
        "votes": 52,
        "created_at": "2023-07-17T14:13:53.699Z"
      }
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    "id": 28864,
    "name": "Outset",
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    "website": "https://outset.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Outset offers AI-powered user interviews to conduct qualitative research. Traditional surveys are fast but lack depth while live interviews produce high quality data but are slow and expensive. Outset uses LLMs to lead interviews and synthesize results so researchers get high quality data 100 times faster. ",
    "one_liner": "AI-powered user interviews",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1683921315,
    "tags": [
      "SaaS",
      "B2B",
      "Market Research",
      "Enterprise Software",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/outset",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/outset.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/outset-ai/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9884cde2f06e46373b20cec776477bb5ff0f4c1.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1327240,
        "full_name": "Aaron Cannon",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Outset. Aaron was previously the head of product at Untapped and Triplebyte and played senior product roles at Tesla, Pebble, and Monitor Deloitte before that. He started his career as a tour manager for a band called Timeflies. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/a-a-ron-cannon/",
        "x_url": "https://twitter.com/AaronLCannon",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47ab295ac1ee892b63713f73b9e454b706d119f7.jpg"
      },
      {
        "user_id": 925701,
        "full_name": "Michael Hess",
        "title": "Founder",
        "founder_bio": "Engineer-turned-firefighter-turned-founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mchl-hess",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021aab0d7cce35290c351b9553227b59e4b41f59.jpg"
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    ],
    "jobs": [
      {
        "id": 75468,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/outset/jobs/I4rpa3J-enterprise-account-executive",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "0.02% - 0.15%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84174,
        "title": "Backend Software Engineer",
        "url": "https://www.ycombinator.com/companies/outset/jobs/1sK7UAT-backend-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "How Outset Turned AI Interviews Into a New Category",
        "url": "https://www.youtube.com/watch?v=x3XOeDckUX0",
        "date": "Aug 27, 2026"
      },
      {
        "title": "Customer research startup Outset raises $30M led by M12",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2025/12/10/customer-research-chatbot-outset-radical",
        "date": "Dec 10, 2025"
      },
      {
        "title": "Outset raises $17M to replace human interviewers with AI agents for enterprise research | VentureBeat",
        "url": "https://venturebeat.com/ai/outset-raises-17m-to-replace-human-interviewers-with-ai-agents-for-enterprise-research/",
        "date": "Jun 11, 2025"
      },
      {
        "title": "Outset is using GPT-4 to make user surveys better | TechCrunch",
        "url": "https://techcrunch.com/2023/10/26/outset-is-using-gpt-4-to-make-user-surveys-better/",
        "date": "Oct 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 78263,
        "title": "🎥 Outset: AI video interviews",
        "tagline": "Accelerate your research with AI-powered user interviews",
        "body": "**TL;DR** - [Outset](https://outset.ai/) is launching its biggest upgrade since our initial launch in June. AI-powered video interviews. Now you can get the depth of an interview at the speed and scale of a survey, all with the story-telling power of video.\n\n**Problem:** Researchers are stuck between two bad options today. Surveys are fast and scalable but don’t get the depth you need. Interviews go deep — particularly over video — but are stuck with a small sample size and are incredibly time-consuming.\n\n**Solution:** AI-powered interviews give you the best of both so you don’t have to choose. LLMs are incredibly powerful question-askers — with the input of a discussion guide, Outset’s AI interviewer leads deep, probing conversations with hundreds of participants at once, and synthesizes your results. You can test concepts or designs, ask about behaviors, or learn about underlying motivations…all while you sleep.\n\n**The addition of video:** While the words in an interview can give you answers, they rarely tell the whole story. Video is by far the best way to capture, internalize, and tell the stories of your users or the market you’re going after.\n\nIf you’re interested in learning more, hit us up! Check out more at <https://outset.ai/video-interviews>.\n\n![uploaded image](/media/?type=post&id=78263&key=user_uploads/1327240/a8d547b4-84c2-4c0e-9c09-d401d143d6b3)\n\n",
        "url": "https://www.ycombinator.com/launches/KMJ-outset-ai-video-interviews",
        "votes": 11,
        "created_at": "2024-02-08T00:43:13.041Z"
      },
      {
        "id": 72213,
        "title": "Outset - AI-powered user interviews",
        "tagline": "Turn weeks of work into (almost) instant insights",
        "body": "**TL;DR** - Getting answers to tough, qualitative questions from your users is extremely costly (in time _and_ money). Outset provides an AI-interviewer that conducts and synthesizes research interviews autonomously. Researchers get large-scale, in-depth data (almost) instantly.\n\n### **Our asks**\n\n* **Early startups: Give us feedback!** [Sign up here](https://outset.ai/login?utm_campaign=launch_yc), and get 50 AI interviews for free.\n* **Larger teams: Book a demo!** Researchers or product/design leaders at mid-market or enterprise companies are our sweet spot. Whether you have researchers on your team or have research-oriented friends, we’d love to meet them! [Book a demo here](https://calendly.com/a-a-ron1/outset-demo).\n\n### **Problem**\n\nWe’re Aaron and Michael, co-founders of Outset (YC S23).\n\nToday, user and market researchers face an unfortunate tradeoff: do you want FAST insights (surveys) or do you want DEEP insights (interviews)?\n\nWe’ve felt this struggle. As a strategy consultant at Deloitte, Aaron facilitated dozens of research projects for Fortune 500 companies. He and his team would spend hundreds of hours on each project just to schedule and moderate a few dozen interviews. And both of us have seen first-hand the need for even faster, deeper user insights at growing software companies.\n\n### **Solution**\n\nOutset gets you both — fast **and** deep insights — with AI-moderated research.\n\nImagine if you could ask hundreds of people a complex, qualitative question (like ‘What motivates you in your career?’) and get back an actionable synthesis of the answers? Now imagine if you could do that in less than a day…\n\nOur AI-moderated research platform uses GPT-4 to autonomously lead in-depth interviews with participants and analyze results. Designed for high-impact research teams at larger companies, Outset gathers valuable, large-scale qualitative data (almost) instantly, turning weeks of work into hours.\n\nOutset users load up an interview guide, share a link with their participants, and watch AI conduct hundreds of interviews at once. AI follows up with participants to clarify, probes on answers, and creates a conversational rapport where responses get deep.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/bab1ab87-3b42-462f-a046-8fbead045dff)\n\nFor every question, AI generates themes, tallies up counts, and highlights powerful quotes to uncover the story. What used to be days of dedicated transcript analysis work is now almost instant.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/52d11205-52b7-48e9-9c32-a91f35695242)\n\n### **Customer case study**\n\n**With Outset, WeightWatchers put together an interview guide, shared it out, and conducted and synthesized over 100 in-depth interviews in under 24 hours, saving them over a week of work.** The results are now being used to propose a new internal framework for user segmentation.\n\n_“The speed and quality of the responses were both outstanding. I expect Outset will afford my team the opportunity to significantly increase the speed of delivery and the volume of data they are able to collect.” - Wilson Readinger, Head of UX Research @ WeightWatchers_",
        "url": "https://www.ycombinator.com/launches/Imj-outset-ai-powered-user-interviews",
        "votes": 32,
        "created_at": "2023-06-12T19:57:44.481Z"
      }
    ]
  },
  {
    "id": 28865,
    "name": "Hegel AI",
    "slug": "hegel-ai",
    "former_names": [
      "Moxi: Model Exchange Infrastructure"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4c1505ac12ec772ffd315c1efa3139c51ae9e35.png",
    "website": "https://hegel-ai.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "We build tools for developing applications with generative AI models. Whether you are using LLMs, vector databases, and text-to-image models like Stable Diffusion, our tools help you find the right model, prompt, configuration and consistently monitor their behaviors in production.\r\n\r\n---\r\n\r\n**PromptTools**: the first open-source, developer-focused SDK for experimenting with and evaluating prompts, models, and vector databases. You can try the repo here: https://github.com/hegelai/prompttools. If you're building with LLMs and struggling with evaluation, reach out and we can help.",
    "one_liner": "Open source tools for developing generative AI applications",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1690471692,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/hegel-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hegel-ai.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4c1505ac12ec772ffd315c1efa3139c51ae9e35.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1424101,
        "full_name": "Kevin Tse",
        "title": "Founder",
        "founder_bio": "Building open-source developer tools for large language models at Hegel AI.\n\nHappy to connect and chat about how your company is using AI and LLMs!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevin-tse-35051367",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4bb49f02a2ada149717f9ffc989cc10d608f0233.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 73501,
        "title": "Hegel AI: Open source tools for language model evaluation",
        "tagline": "Experiment with models, prompts, and vector databases in just a few lines of code",
        "body": "**TL;DR** [Hegel AI](https://hegel-ai.com/) is building developer tools for LLM and prompt evaluation and continuous testing, with over a thousand downloads per week since launch. We’re a team of ex-PyTorch engineers from Meta and Google.\n\n# The Problem\n\n_Is Llama 2 really better? Is GPT-4 getting worse?_ Developers building with language models are constantly facing challenges with (1) model drift (2) new models and (3) insufficient evaluation systems. Besides academic metrics and “eyeballing it”, there’s no existing solution for continuous LLM regression testing or experimentation.\n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/f9481110-9296-4fb1-b5ab-68ce35d6bdfc)\n\nWhat’s more, the complexity of LLMs and related tools like vector databases make it hard for developers to set up honest apples-to-apples comparisons for their use case.\n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/e7dc639a-27c3-4849-8245-9bda29648954)\n\n# Our Mission\n\nWe want to make high quality evaluation and testing systems available to everyone, which is why we’re building an open source platform for language model evaluation. Developers can use our product to [monitor GPT-4 regressions](https://github.com/hegelai/prompttools/blob/main/examples/notebooks/GPT4RegressionTesting.ipynb), audit models for safety, and [measure performance of vector databases](https://github.com/hegelai/prompttools/blob/main/examples/notebooks/ChromaDBExperiment.ipynb). \n\n# How it works\n\nDevelopers come to our product with some test cases, and an idea of the models or vector databases they want to evaluate. We handle all of the testing infrastructure to help them (1) set up experiments across models/DBs in notebooks and (2) scale those experiments into reusable test suites. \n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/da633110-74ba-449b-b4f1-017ad8ec6ffd)\n\n\\\nWe support multiple strategies for evaluation: auto-eval by another model, systematic evaluations like structured output validation or semantic similarity to an expected output, or even through gathering human feedback with our notebook UI.\n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/13b7aa5e-e9d8-43de-b191-6d5c5fc1f04a)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/6dbe38e4-9070-464e-b06b-55ac3d21be7f)\n\n[Kevin Tse](https://www.linkedin.com/in/kevin-tse-35051367/) and [Steven Krawczyk](https://www.linkedin.com/in/steventkrawczyk/) met 9 years ago when we started our undergraduate studies at the University of Chicago. We crossed paths again years after graduation when we were both working on [PyTorch](https://github.com/pytorch/pytorch), an open-source deep learning library, at Meta and Google. We worked on the core library, data loading, and the XLA compiler library. Prior to that, we worked at Amazon and Bridgewater Associates.\n\n# Testimonials\n\n_It’s hard to convince senior management that investing in LLMs is worth it, without doing expensive experimentation on my own._\n\n* _Soma Szabo, Data Science Manager at McMaster-Carr_\n\n_If you are doing anything remotely related to prompting, you'd know how frustrating & inefficient it is to compare between prompts. I, for one, am using it to make my life easier in building Watto AI._\n\n* _Rishabh Panwar, Co-Founder & CEO, Watto AI_\n\n# Asks\n\n* Install the [Python library](https://pypi.org/project/prompttools/) and try it yourself!\n* Give us a star on [GitHub](https://github.com/hegelai/prompttools) and [join our Discord community](https://discord.gg/72a9xh5Z7P).\n* [Contact us](mailto:team@hegel-ai.com) if you want enterprise support for experimentation or early access to our hosted UI and observability tools",
        "url": "https://www.ycombinator.com/launches/J7V-hegel-ai-open-source-tools-for-language-model-evaluation",
        "votes": 88,
        "created_at": "2023-07-27T15:26:58.756Z"
      }
    ]
  },
  {
    "id": 28868,
    "name": "Briefer",
    "slug": "briefer",
    "former_names": [
      "Ergomake"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e589854f66150c916444527d7f4aa314d3961ed.png",
    "website": "https://briefer.cloud",
    "all_locations": "São Paulo, SP, Brazil; Remote",
    "long_description": "Briefer helps data scientists and analysts build interactive visualizations and data apps using a Notion-like interface.\r\n\r\nConnect to your data sources, write SQL or Python, collaborate through comments and multiplayer editing, and run code in whichever compute environments you need.",
    "one_liner": "The collaborative data platform.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1687307247,
    "tags": [
      "Developer Tools",
      "B2B",
      "Data Science",
      "Data Engineering",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
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    "city": "São Paulo",
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        "user_id": 578593,
        "full_name": "Lucas da Costa",
        "title": "Founder",
        "founder_bio": "I'm the founder and CEO at Briefer. Previously, I worked as a senior software engineer at Elastic and led software engineering teams at an early-stage startup in London.\n\nI used to maintain large OSS projects like Chai.js and Sinon.js and contributed to many others, including Jest.\n\nAs an author, I wrote \"Testing JavaScript Applications,\" published by Manning. I've also spoken in more than ten countries, and my content has been voluntarily translated into more than seven languages.",
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        "linkedin_url": "https://linkedin.com/in/lucasfdacosta",
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      {
        "user_id": 1372900,
        "full_name": "Lucas Vieira",
        "title": "Founder",
        "founder_bio": "Lucas, is a software engineer and open-source enthusiast with a decade of experience, actively contributes to numerous open source projects. He used to maintain Chai.js, a popular JavaScript testing framework with 7.8k+ GitHub stars. As the former Head of Technology at Joga, he built a product from scratch, used by thousands in dozens of countries. Now, Lucas is the CTO of Ergomake, developing a product for developers to deploy preview environments for any stack.",
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        "linkedin_url": "https://linkedin.com/in/lucas-vieira-1ba001a4",
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    "launches": [
      {
        "id": 88718,
        "title": "❇️ Briefer Agent: your AI data analyst, built into a powerful data workspace",
        "tagline": "Briefer's agent helps anyone on your team turn data into clear and instant insights.",
        "body": "Hey YC! I'm Lucas, founder of Briefer: a data workspace for notebooks and dashboards.\n\n**✨ Today, we're launching the Briefer Agent: an AI analyst that helps anyone on your team turn data into clear and instant insights ✨**\n\n<https://youtu.be/VBXmDJCqOGk>\n\nFor the past year, we've been building a powerful data workspace to help thousands of technical users uncover deep insights they wouldn't otherwise have. Many of these people use Briefer every day and get a lot of value out of it thanks to features like Python support, point-and-click visualizations, scheduling, and turning query results into data frames automatically.\n\n**Now, we're bringing Briefer's magic to _everyone_.** Whenever _anyone_ on your team has a question, they can ask our AI analyst, and it'll use Briefer to get them an answer.\n\n‎\n\n---\n\n# **⭐ It's not just another text-to-SQL chatbot**\n\n**Our AI analyst is _not_ just another “text-to-SQL” chatbot that spits out random graphs.** Instead, it's an intelligent agent that operates Briefer's powerful data workspace to generate answers that are precise and reviewable.\n\nOur agent can do anything a human analyst does in Briefer: write SQL, plot graphs, and even run Python for data manipulation and advanced analyses.\n\n‎\n\n---\n\n# **🤝 Especial things the Briefer Agent can do**\n\n* **🏦 Handle business-specific context.** If you have business-specific context you'd like to explain to the agent, you can easily add it to help the agent better understand your data and goals.\n* ☁️ **Connect to all the most popular data sources.** Briefer connects to all the most popular data sources, including Postgres, BigQuery, Redshift, Athena, Snowflake, MySQL, and others. The agent can use those data sources too.\n* **📄 Analyze CSV, XLS, and Parquet files.** If you have a CSV or Excel file, you can also upload it and ask for the Briefer agent to analyze it for you. That'll be easy because the agent knows how to use Briefer's DuckDB integration to query that file too.\n* 🎈**Run on your own infrastructure.** You can fully self-host Briefer's enterprise version and use your own Bedrock or Vertex services to power the agent. Therefore, all your data remains on your cloud, _always_.\n\n‎\n\n---\n\n# **➡️ How can I try the agent?**\n\nTo try out Briefer's agent, [book a call using this link](https://calendly.com/lucasfcosta/briefer-intro) and we'll help you get started ASAP.\n\nIf you have questions, feel free to email us, the founders, directly at [founders@briefer.cloud](mailto:founders@briefer.cloud).",
        "url": "https://www.ycombinator.com/launches/N4w-briefer-agent-your-ai-data-analyst-built-into-a-powerful-data-workspace",
        "votes": 27,
        "created_at": "2025-03-17T19:16:57.634Z"
      },
      {
        "id": 83864,
        "title": "❇️ Briefer: Python notebooks and dashboards in one place (now open-source)",
        "tagline": "Create Python notebooks that look like Notion, and publish them as reports or dashboards.",
        "body": "⭐ Today, we're launching [Briefer's open-source offering](https://github.com/briefercloud/briefer).\n\n**Briefer is like Notion for code notebooks and dashboards. It gives technical users all the flexibility they need to publish dashboards, analyze data, create reports, and build data apps. At the same time, Briefer makes it easy for non-technical users to view and interact with data.**\n\n![](https://i.imgur.com/EYLk7xK.gif)\n\nIn Briefer, you can:\n\n* 📚📊 **Create notebooks and dashboards** using Markdown, Python, SQL, and native visualizations.\n* 🤳 **Build interactive data apps** using inputs, dropdowns, and date pickers.\n* 🤖 **Generate code and queries** using an AI that understands your database schema and your notebook's context.\n* 🕰️ **Schedule notebooks and dashboards** to run and update periodically.\n* ⚙️ **Create and test ad-hoc pipelines** using writebacks.\n\nIn addition to all that, Briefer is also multiplayer, meaning two or more people can work on the same notebook or dashboard simultaneously and see each other's changes in real time.\n\nFrom today, you can use Briefer for free on your machine or deploy it to your own infrastructure so that your whole team can use it and eliminate your data silos.\n\n \n\n### **🍱 What's included in the open-source offering?**\n\n![uploaded image](/media/?type=post&id=83864&key=user_uploads/578593/fdaa030e-0bad-43d6-a35f-e96332f951a6)\n\nBriefer's open-source offering includes everything you need to build notebooks and dashboards, including Markdown, SQL, Python, point-and-click visualizations, scheduled runs, writebacks, and more.\n\nAlso, given you'll be running Briefer on your own machines, there's no limit on how many users you can invite, how much memory and compute you can give to your notebooks, and how many pages you can schedule.\n\nThe only things that are _not_ in Briefer's open-source offering are PDF exports, granular permissions, and email and Slack integrations. These are available in the paid version of Briefer, for which you can sign up [here](https://briefer.cloud).\n\n \n\n### **🤔 Why open-source?**\n\nWe want people to have zero barriers to using Briefer, and we believe that making it open-source is the best way to achieve that.\n\nBy making Briefer open-source, we're giving you the freedom to run it on your own infrastructure, customize it to your needs, and contribute to its development.\n\nFurthermore, given Briefer will be running on your own machines, you don't have to worry about your data being stored in a third-party service. You have full control over your data.\n\nIf you want an in-depth explanation of our open-source strategy, [you can read it here](https://briefer.cloud/blog/posts/open-source-strategy).\n\n \n\n### **✨ How do I get started?**\n\n**➡️ You can get started by following the instructions in our **[**GitHub repository**](https://github.com/briefercloud/briefer)**. While you're there, please don't forget to give us a star ⭐.**\n\nIf you have any questions, please send me an email at [lucas.costa@briefer.cloud](mailto:lucas.costa@briefer.cloud). I respond to every email I receive from users.\n\nIn case you need help deploying Briefer or just want to talk directly to me, please [book a time here](https://calendly.com/lucasfcosta/briefer-intro-call).",
        "url": "https://www.ycombinator.com/launches/Loe-briefer-python-notebooks-and-dashboards-in-one-place-now-open-source",
        "votes": 28,
        "created_at": "2024-09-09T17:05:36.669Z"
      },
      {
        "id": 80177,
        "title": "❇️ Briefer: Jupyter Notebooks and data apps in the cloud - and it looks like Notion!",
        "tagline": "Create and share beautiful analyses, visualizations, and data apps",
        "body": "\\*\\*TL;DR: If you're using Jupyter Notebooks or have ad-hoc scripts and data apps, you should consider switching to [**Briefer**](https://briefer.cloud) ❇️. Briefer works like Jupyter Notebooks, but it runs in the cloud and is as pretty and intuitive as Notion. It allows you to create beautiful and in-depth analyses, visualizations, and data apps.\\*\\*\\\n—\n\nHi, we're Lucas da Costa and Lucas Vieira (the Lucas²), founders of Briefer.\n\nWe've built Briefer to help data scientists create analyses, visualizations, and data apps and share their work with others — including non-technical people!\n\n![uploaded image](/media/?type=post&id=80177&key=user_uploads/578593/d4956051-0462-4492-b4f7-512a2652739a)\n\n[**🎬 Here's a demo 📹**](https://www.loom.com/share/f5658419cd154958862de41f1ea328c8?sid=685856a5-d188-4c53-baf3-51084ef3d141)\n\nYou can use Briefer instead of writing messy notebooks, building unmanageable ad-hoc scripts, wrangling with SQL in limited BI tools, or going through the hassle of setting up the infrastructure for a data app.\n\n# \n\n# **⭐ Briefer is better than Jupyter or ad-hoc solutions because:**\n\n* 💅 It looks way better and is 1000x easier to use — non-technical stakeholders will love it too.\n* 🤗 It's easy to share — just copy a link, no need to install dependencies or pull a git repo.\n* 💾 You can run SQL and Python in the same place — All SQL queries can be used as Pandas data-frames straightaway. No need to write custom wrapper libraries.\n* 🖥️ It's interactive — you can use text fields or dropdowns for viewers to provide input to your pages.\n* ⚡No Memory or GPUs? No problem — we can get you more powerful machines if you need them.\n* 👯 Real-time collaboration — you can see what others are doing if you're editing the same document, just like Google Drive.\n\n# **⭐ Get started now ✨**\n\n[**➡️ Click here to book an intro call if you want to get started with Briefer ⭐**](https://calendly.com/lucasfcosta/briefer-intro-call)\n\nWe move fast and we prioritize making customers happy over everything else - and we can help you build your first analyses and data apps. So, as a small team, there's a limited number of people we can onboard at a time - **make sure to book a call as soon as possible to ensure we'll get you a spot.**\n\nIf you have any other questions or comments, please email us at [founders@briefer.cloud](mailto:founders@briefer.cloud).",
        "url": "https://www.ycombinator.com/launches/KrB-briefer-jupyter-notebooks-and-data-apps-in-the-cloud-and-it-looks-like-notion",
        "votes": 73,
        "created_at": "2024-04-15T17:39:24.496Z"
      },
      {
        "id": 73177,
        "title": "🧚 Ergomake - Deploy a staging environment for every pull request",
        "tagline": "Whenever engineers push changes, we deploy their entire application and send them a link.",
        "body": "**TL;DR Ergomake creates a staging environment for each pull request. Every time an engineer pushes changes, we deploy their entire application and send them a link to see it. Our customers use Ergomake for QA, product, and design reviews before any code gets merged.**\n\nHey everyone! We're Lucas and Lucas (yes, Lucas²), the founders of [Ergomake](https://ergomake.dev).\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/67fb36be-2271-4b94-8403-f3f1c9bf4612)\n\n**Ergomake creates a new staging environment every time engineers push changes**, making reviews much quicker and easier and helping teams avoid shipping broken changes.\n\n## ❌ The problem: staging is a bottleneck.\n\nEngineers must ship code to a staging environment whenever they need feedback from QAs, designers, and product managers.\n\nThe problem with this approach is that **teams usually have only one staging environment**. Therefore, **engineers scramble to see who will use staging or end up merging changes before anyone else sees them**.\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/0d929f46-4a46-425d-86e8-458fc4843816)\n\n**Consequently, teams slow down, applications break, or undesirable code gets shipped**.\n\nWhen that happens, engineers rush to fix the broken code already merged. For that, they must go through the whole review process again, which is a massive waste of time and money.\n\n## 💡 The solution: everyone gets their own staging.\n\nWith Ergomake, every change gets deployed to a new staging environment.\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/dc0ff32d-60c5-46d1-a759-b875aaaaea15)\n\nThat way, engineers can get input from the rest of their team without queueing to use staging.\n\nAdditionally, by getting reviews _before_ deploying code, teams avoid merging all sorts of undesirable changes. Consequently, they avoid bugs and reduce rework by keeping `main` always working.\n\nWith Ergomake, teams can merge straight into `main` because they do all their manual testing and validations within their pull requests. Therefore, these teams avoid complicated branching strategies and painful integration cycles.\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/9b319d08-4e0e-4239-9786-f5cc9373d979)\n\n## ⚙️ How does it work?\n\nErgomake integrates with GitHub and gets notified whenever someone opens a pull request.\n\nWhen that happens, Ergomake uses the `docker-compose.yaml` file within the repository to deploy your application on our infrastructure.\n\nOnce Ergomake has spun everything up, it adds a comment to the pull request containing the link to test your application.\n\nOur previews can include databases, and they support all types of projects, including those spread across multiple repos.\n\n## ➡️ The ask: sign-up now (there's a free tier)\n\n**You can sign-up for Ergomake at **[**app.ergomake.dev**](https://app.ergomake.dev)**.** There, you'll be able to configure previews for any repositories you want for free.\n\n**If you prefer, we're happy to do all the integration for you or hop on a call and guide you through the process**. If you think that could be helpful, [book an intro call here](https://calendly.com/lucasfcosta/ergomake-15-minutes).\n\nFor anything else, [we're also on Discord](https://discord.gg/daGzchUGDt).",
        "url": "https://www.ycombinator.com/launches/J2H-ergomake-deploy-a-staging-environment-for-every-pull-request",
        "votes": 85,
        "created_at": "2023-07-18T15:59:24.172Z"
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    "name": "Menza",
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    "website": "https://menza.ai/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Menza is the AI data analyst for consumer brands. A brand like Hershey’s would connect all of their data sources and then we give them an AI analyst that works 24/7 looking for revenue opportunities, cost leaks, trends and anomalies.",
    "one_liner": "The AI data analyst for consumer brands",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1691019522,
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/menza",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/menza.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/menzaai",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
      {
        "user_id": 1218949,
        "full_name": "Qasim Munye",
        "title": "Founder",
        "founder_bio": "founder @ menza\n\nprev founder @ ShortlyAI (acquired by Jasper)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/qasim-munye-3b363a160",
        "x_url": "https://twitter.com/qasimmunye",
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      },
      {
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        "full_name": "Mariam Ahmed",
        "title": "Founder",
        "founder_bio": "Mariam is the Co-Founder and CTO of Menza. Fueled by a passion for problem-solving, she enjoys talking to users and trying to build solutions they'll love. Born and raised in New York City, she studied Computer Science at King's College London and started her career on the trading floor at Goldman Sachs. Ask about her best restaurant lists for London, NYC, and SF.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mariamaahmed/",
        "x_url": "https://twitter.com/RealMariamAhmed",
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      {
        "id": 98513,
        "title": "Menza: The AI Data Team for Fast-Growing Brands 🚀",
        "tagline": "Menza works 24/7 to surface insights, build reports, and catch what you'd otherwise miss.",
        "body": "**100% customer retention since April 2025. +234.9% MRR growth since January 2026.**\n\nWe don't lose customers. Here's why.\n\n**TL;DR:** Menza connects all of your data sources (yes, even the ones without APIs) and then works 24/7 to surface insights, build reports, and catch what you'd otherwise miss. On average, our brands use Menza **every other day.** Our top users use Menza **more than 90% of weekdays in a month.**\n\n**Demo:**[ https://youtu.be/zPrKVEaVJqo](https://youtu.be/zPrKVEaVJqo)\n\n### **The Problem**\n\nConsumer brands are drowning in data spread across 20+ tools. The fix? Hire a data analyst. Then another. Then an engineer. Then a BI developer. This gets expensive very quickly, so many brands fly blind, missing revenue opportunities hiding in plain sight.\n\nCurrent AI tools fail to make the most of this data because:\n\n1. They cannot integrate with every platform a company uses, key data often resides in a niche tool.\n2. They are not proactive. At best, they automate recurring tasks but fail to adapt to shifting priorities. The most valuable insights come from identifying what’s important _right now_ for the business.\n\n### **The Solution**\n\n**Menza connects all of your data sources (yes, even the ones without APIs) to give you an AI data team that never sleeps.**\n\nMenza works 24/7 to surface insights, build reports, and catch what you'd otherwise miss.\n\n**What Menza has actually done recently:**\n\n📦 Found that a company was losing 10% of its total revenue from stockouts and built a plan to fix it.\n\n📧 Spotted a 34% email performance drop and traced it to a single flow change, informing the company before it had a major impact.\n\n🏆 Revealed that a brand's \"top-performing retail employees\" were just benefiting from heavy foot traffic and therefore being overcompensated.\n\n### **Why Brands Stay**\n\nOn average, our brands use Menza **every other day.** Our top users use Menza **more than 90% of weekdays in a month.**\n\n\"_Menza has allowed us to scale massively across the US with a lean team, which would not have been possible before._\"\\\n— Rosie Willis, Product & GTM, yhangry\n\n\"_Menza has really helped me understand my business better. It's found patterns where I didn't see them._\"\\\n— Laura Rudoe, Founder & CEO, Evolve Beauty\n\n### **The Team**\n\n**Dr. Qasim Munye (CEO & Co-Founder)**\n\nPreviously founded ShortlyAI, one of the first commercial LLM applications, acquired by Jasper in 2021. Built that company solo while finishing medical school at King's College London. Yes, a medical doctor!\n\n**Mariam Ahmed (CTO & Co-Founder)**\n\nStarted her career on the Goldman Sachs trading floor, where she sold $1.2B in custom institutional trades in a single year, working directly with large enterprise clients. Won the Alan Turing Centenary Prize at King's College London, and left finance to build the data platform she wished existed. Forbes 30 Under 30 (2025).\n\nWe've worked in finance, tech, and with fast-growing consumer brands. We've felt the pain of fragmented data firsthand.\n\n### **What We're Looking For**\n\nWe're looking for intros to consumer brands (CPG, DTC, food & beverage, beauty, fashion) doing $1M+ in revenue. If you know someone drowning in spreadsheets or flying blind on their data, send them our way.\n\n👉 Contact us at [founders@menza.ai](mailto:founders@menza.ai)\n\n![uploaded image](/media/?type=post&id=98513&key=user_uploads/1218949/00bd1cad-b641-4196-9209-f128ebca3be5)\n\n",
        "url": "https://www.ycombinator.com/launches/Pcv-menza-the-ai-data-team-for-fast-growing-brands",
        "votes": 1376,
        "created_at": "2026-03-06T21:00:59.295Z"
      },
      {
        "id": 94402,
        "title": "Menza – The 24/7 Data Analyst for Consumer Brands ⚡",
        "tagline": "Never miss a revenue opportunity again. Learn what you need to know, when you need to know it.",
        "body": "At Menza, we help consumer brands see what they need to know, when they need to know it. With 24/7 data monitoring, Menza finds insights for our customers that they would have otherwise missed.\n\nWatch our demo: https://youtu.be/zPrKVEaVJqo\n\n# What Menza has done for our customers:\n\n* 💰 Identified a customer’s best-performing Facebook campaigns and suggested scaling by 20% to generate an **additional $12K in MRR**.\n* 🥵 Found that above 95°F (35°C), a national beverage chain’s iced drink sales dropped 18% as customers stayed indoors. During a heat wave, they were prompted to shift focus to delivery offers and adjust inventory, **cutting waste 12% and growing remote orders 22%**, turning a seasonal dip into growth.\n* 🏆 Revealed that a fashion brand’s top sales staff “performers” were simply scheduled on days with heavier foot traffic. By correcting for this bias, the brand **overhauled employee performance metrics** to measure true impact.\n\n# Here’s how it works:\n\n* Menza **monitors your data 24/7** across platforms like Shopify, Klaviyo, Xero, Google Ads, Facebook Ads, and many more (**650+ integrations**, to be exact).\n* Upon identifying insights (revenue opportunities, cost leaks, trends, anomalies), we surface them in **plain English, right when you need to know them**.\n* In the meantime, **anyone (technical _and_ non-technical)** can ask questions, create dashboards, receive reports, and build workflow automations seamlessly.\n\nThink of it like hiring an extra team member who has way too much time on their hands and never sleeps… and **at a fraction of the cost** (!!)\n\nBehind Menza is a small but mighty team of builders and operators obsessed with one thing: making data actually useful. We’ve worked in finance, tech, and with fast-growing brands, and we’ve seen the pain of fragmented, delayed insights firsthand. So we’re fixing it.\n\n# Now, here’s where you come in:\n\n* [**Start using Menza for free today**](https://menza.ai/)\n* **Follow us on socials**: [**LinkedIn**](https://www.linkedin.com/company/menzaai), [**X**](https://x.com/menzaai), and [**Instagram**](https://www.instagram.com/menzaai/)\n\nWe’re just getting started, but the vision is big: a world where operators don’t need to chase data because the right insight finds them first.\n\nLet’s make it happen.",
        "url": "https://www.ycombinator.com/launches/OYc-menza-the-24-7-data-analyst-for-consumer-brands",
        "votes": 728,
        "created_at": "2025-10-06T14:41:56.271Z"
      },
      {
        "id": 73876,
        "title": "Latentspace - Your AI data assistant",
        "tagline": "Streamline work with the help of AI-powered assistants",
        "body": "Hey everyone! We're Qasim and Mariam from Latentspace and we are leveraging LLMs to build smart colleagues to help you get work done.\n\n**Tl;dr**\\\nUse Latentspace to get your spreadsheet work done, faster and smarter. Combining language models with your data to build the next generation of AI-powered assistants. Talk to our first assistant, Steve, the Data Assistant for instant data answers without asking your data team, writing an SQL query, or waiting.\n\n**❌ The Problem**\\\nYou are looking to make a data-driven decision or get a quick data insight.\\\nToday, you are probably:\n\n* Asking a data analyst who already has a full plate and will push the request to somewhere on their long list of “to dos”\n* Trying to figure out the right SQL query through plenty of trial and error \n* Maybe wanting to try out ChatGPT or other AI tools but cannot trust the results or are wary of company data being used to train their models\n\n**✨ Our Solution**\\\nSimply upload a CSV with your data and get instant insights. You can then ask our AI Data Assistant questions and keep the conversation going until you get the answers you want in a fraction of the time it usually takes.\n\nLatentspace has built a super smart AI colleague to help you get this kind of work done quickly. Our AI Data Assistant can help you…\\\n✅ Get instant data answers without asking your data team, writing an SQL query, or waiting\\\n🔎 Automatically spot anomalies, correlations, and trends in your data\\\n⚡ Enable stakeholders to self-service answers their own business questions\n\n![uploaded image](/media/?type=post&id=73876&key=user_uploads/1479724/a7485baf-3792-4fd2-b89a-479d74294677)\n\n**🙌 Our Asks**\n\n* Try our AI Data Assistant! We promise he is friendly and will try to answer your data questions quickly and thoroughly. \n* You can follow us on [Twitter](https://twitter.com/LatentspaceUK) or [LinkedIn](https://www.linkedin.com/company/latentspacedev). Our inboxes are always open.\n* Share with anyone you know who does a lot of spreadsheet work or may want to access data insights faster and smarter.\n* Also, if you have 10 minutes to chat about Latentspace, please book a time with us [here](https://calendly.com/mariam-ls) 😊",
        "url": "https://www.ycombinator.com/launches/JDY-latentspace-your-ai-data-assistant",
        "votes": 1966,
        "created_at": "2023-08-07T18:39:28.968Z"
      }
    ]
  },
  {
    "id": 28880,
    "name": "FleetWorks",
    "slug": "fleetworks",
    "former_names": [
      "FleetWorks",
      "Aproxy.AI",
      "Aproxy"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/09046cf3a124fcba9a014250e15826670a9a3e1b.png",
    "website": "https://fleetworks.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "FleetWorks is rebuilding the $1 trillion freight marketplace with AI.\r\n\r\nEvery year, companies spend over a trillion dollars moving freight across the U.S. — but the system for matching trucks with jobs is still slow, manual, and fragmented.\r\n\r\nFleetWorks is fixing that. We’re turning today’s chaotic freight market into a modern, intelligent marketplace — one where AI agents replace the endless phone calls, texts and emails and match jobs to trucks instantly.",
    "one_liner": "AI enabled marketplace matching trucks with jobs",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1692114463,
    "tags": [
      "Logistics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/fleetworks",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/fleetworks.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/94275825/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/09046cf3a124fcba9a014250e15826670a9a3e1b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 396582,
        "full_name": "Paul Singer",
        "title": "Founder",
        "founder_bio": "Automating the manual parts of logistics management. Previously PM at Uber Freight where I led the tech teams managing carrier quality.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/paul-singer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a69192274c0adadb867ed27a6805112442b56435.jpg"
      },
      {
        "user_id": 1231698,
        "full_name": "Quang Tran",
        "title": "Founder",
        "founder_bio": "Prior to FleetWorks, worked on moonshot projects at Airbnb. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/quangtran20",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05c543fee95d7ab26c9fc5c479979d71f974e87b.jpg"
      }
    ],
    "jobs": [
      {
        "id": 85433,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/fleetworks/jobs/weAW1WX-senior-software-engineer",
        "location": "San Francisco, CA, US / Chicago, IL, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $240K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "TypeScript"
        ]
      },
      {
        "id": 92653,
        "title": "Senior Product Engineer  ",
        "url": "https://www.ycombinator.com/companies/fleetworks/jobs/DIAcWBE-senior-product-engineer",
        "location": "San Francisco / Chicago",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $240K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106208,
        "title": "Product Manager ",
        "url": "https://www.ycombinator.com/companies/fleetworks/jobs/Blgdq10-product-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$160K - $200K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106209,
        "title": "Senior Backend Software Engineer ",
        "url": "https://www.ycombinator.com/companies/fleetworks/jobs/hLXKyvN-senior-backend-software-engineer",
        "location": "Chicago / San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106210,
        "title": "Senior Product Manager ",
        "url": "https://www.ycombinator.com/companies/fleetworks/jobs/bBwSR4j-senior-product-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$160K - $200K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "FleetWorks raises $17M to match truckers with cargo faster | TechCrunch",
        "url": "https://techcrunch.com/2025/10/14/fleetworks-raises-17m-to-match-truckers-with-cargo-faster/",
        "date": "Oct 14, 2025"
      },
      {
        "title": "Twilio Announces the Honorees of the 2024 AI Startup Searchlight Awards | Twilio",
        "url": "https://www.twilio.com/en-us/press/releases/AI-Startup",
        "date": "Jan 29, 2024"
      },
      {
        "title": "5 neat AI startups from Y Combinator's Summer 2023 batch | TechCrunch",
        "url": "https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/09/06/5-neat-ai-startups-from-y-combinators-winter-2023-batch/amp/",
        "date": "Sep 06, 2023"
      }
    ],
    "launches": [
      {
        "id": 74121,
        "title": "FleetWorks - Automating manual freight brokerage operations",
        "tagline": "We automate the 1B+ phone calls and emails that keep freight moving",
        "body": "**TL;DR:** \n\nFleetWorks helps freight operators focus on high-value work by automating routine calls and emails. Our AI-powered platform can leverage email or use a human-like voice to make tracking calls, cover loads, and reschedule appointments.\n\nHi everyone, we are Paul and Quang - we’re on a mission to help freight brokers and forwarders become more efficient\n\n![uploaded image](/media/?type=post&id=74121&key=user_uploads/396582/2100c87b-c4eb-4d6c-a5a6-d3ac56e6338a)\n\n### **❌ The Problem:**\n\nGetting freight from point A to point B is still largely handled by humans. Digitized brokers have driven automation, but most day-to-day operations are still handled over phone and email between millions of humans around the world. Given this overhead, freight brokerages operate on low single-digit margins.\n\nThree roles in a freight brokerage spend a significant part of their day on repetitive tasks:\n\n1. **Track and trace agents** → Identify loads that are not being tracked automatically via apps, telematics, or aggregators. They reach out via phone or email to the driver or dispatcher for an update.\n2. **Load coverage and carrier sales** → Handle inbound/outbound calls to/from trucking companies that are interested to book loads. Information like weight, commodity, and appointment time is shared. Then the parties negotiate on price.\n3. **Appointment schedulers** → Set appointment times for unscheduled loads by calling or emailing facilities, or logging into customer portals. Due to unforeseen issues, 20-30% of appointments need to be rescheduled at the last minute resulting in even more work.\n\nTo illustrate this from a trucking company point of view, below is a short video that shows a dispatcher calling various brokers:\n\n<https://youtu.be/5KzBipLvH3c>\n\n### **✨ Our Solution:**\n\nFleetWorks sits alongside a broker’s phone, email, and transportation management system (TMS). Calls and emails can be triggered automatically or manually, and relevant information is automatically pushed to the TMS or email for operators to take action.\n\nFleetWorks can automatically \n\n1. **Book loads**: Share load details, discuss price, and book the carrier.\n2. **Track loads**: Call the driver and update the account team on issues.\n3. **Schedule appointments**: Email or call facilities that don’t have a booking portal.\n\n### **💲 The Opportunity:**\n\nThere are 150 large brokers in the U.S. (>$100M gross revenue) and they are taking share from small brokers. These brokers alone spend $11B on operational headcount and 70% of headcount is involved in repetitive work.\n\nThese operators conduct 1 billion phone calls per year to manage load execution. Today, these calls cost $5-15 depending on complexity. At a rate of $1 per successful call (10x cheaper than the status quo), we believe our near-term market opportunity is $1B.\n\nGiven the $11B of spend on operational headcount, FleetWorks provides significant margin expansion for our customers. \n\n### **🙏 Our ask:**\n\nIf you or anyone you know works in freight transportation, drop us a note at [founders@fleetworks.ai](mailto:founders@fleetworks.ai). We’d love to learn more about the operation!",
        "url": "https://www.ycombinator.com/launches/JHV-fleetworks-automating-manual-freight-brokerage-operations",
        "votes": 327,
        "created_at": "2023-08-15T17:50:22.695Z"
      }
    ]
  },
  {
    "id": 28882,
    "name": "Repaint",
    "slug": "repaint",
    "former_names": [
      "AutoEmber",
      "Repaint",
      "Vigilant"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a40c666dc622907d8af3f29f4b78c554dba156c9.png",
    "website": "https://repaint.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Repaint lets you build professional websites by chatting with AI. It interviews you, researches you online, and generates a custom websites. Then you can edit anything by asking the AI. Our vision is to merge traditional website builders with AI coding tools, creating a new way for anyone to make more advanced software.",
    "one_liner": "Build a website by chatting with AI",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1690825892,
    "tags": [
      "SaaS",
      "Chatbot",
      "Design",
      "Web Development",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/repaint",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/repaint.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/repaint-ai",
    "x_url": "https://x.com/RepaintHQ",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/autoember",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a40c666dc622907d8af3f29f4b78c554dba156c9.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 1045360,
        "full_name": "Ben Shumaker",
        "title": "Founder",
        "founder_bio": "Cofounder of Repaint. I used to be the Lead Game Designer for https://playthebazaar.com/ \nAnd before that, I was a competitive strategy gamer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-shumaker-9b2620238/",
        "x_url": "https://twitter.com/BenShumaker_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c44197f46f2dc63bf54ec0b9ab698a60fca9254.jpg"
      },
      {
        "user_id": 1315306,
        "full_name": "Izak Fritz",
        "title": "Founder",
        "founder_bio": "founder of Repaint",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/izak-fritz-3b8579120",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3bc98a4b2d6b965d3a9fce343742ba33c6405b24.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 98979,
        "title": "Repaint: The AI Website Builder",
        "tagline": "Build a website by chatting with AI",
        "body": "We’re [Ben](https://www.linkedin.com/in/ben-shumaker-9b2620238/) and [Izak](https://www.linkedin.com/in/izak-fritz-3b8579120/), and we’re proud to introduce the new Repaint (S23).\n\nRepaint is the best AI tool for creating professional marketing websites. You chat with Repaint, plan the style and pages, and import your content. Then Repaint generates a custom website in minutes.\n\n**Demo:** <https://youtu.be/HkL9yoQOyOQ>\n\n**The Problem**\\\nAI coding tools are incredibly powerful now, but most people still make websites with Wix and Squarespace. Vibe coding tools like Lovable, Bolt, and Replit can generate a webpage from a prompt in a few minutes, but beyond that they’ve focused more on app building than marketing sites:\n\n* They generate single pages with generic content, leaving you to build the rest.\n* The visual style is hard to control, with few resources for inspiration.\n* They surface technical details like code, hosting providers, and github integrations.\n* They charge per edit, so finishing a large marketing site is expensive.\n\nThere’s no major AI tool focused on making polished websites for small businesses, entrepreneurs, and marketers. That’s what we’re building.\n\n**The Solution**\\\nRepaint is an AI website builder designed to get you to a finished site, not just a starting point.\n\n* **It starts by learning about you.** Repaint interviews you about your business, what pages you need, and what style you're going for. It can research your company online and import existing content.\n* **You control the style.** You can pick a theme, provide reference links, and upload inspiration images. Or, you can let Repaint design it for you.\n* **It generates a complete site.** Repaint makes full websites with your real information. And it can recreate the same pages from an existing website.\n* **You edit with chat.** Restyle the whole site, add pages, update info across every page, redesign sections.\n* **It writes real code.** So it can build things template-based builders can't like custom animations, interactive components, calculators, and complex forms.\n* **Flat monthly pricing.** No per-edit credits.\n\n![uploaded image](/media/?type=post&id=98979&key=user_uploads/1045360/65931443-8184-450c-876c-89dcaf327f5f)\n\nWe opened Repaint about a month ago, and we’ve had hundreds of people make sites for tons of different businesses including YC startups, bakeries, cycling coaches, and more.\n\n**Our Background**\\\nRepaint is actually our second website builder. During YC S23, we built a different website builder with a drag-and-drop interface inspired by Figma. Despite our best efforts, we never got it off the ground. The existing website builders were already heavily optimized, and the AI wave was rapidly making manual no-code tools obsolete.\n\nBut those years gave us deep expertise in web layout, editor UX, and what actually makes people give up on building a site. We think that's exactly what AI website building needs — not just better models, but a team that understands the challenges well enough to make it reliable.\n\n**Our Ask**\\\nIf you or someone you know needs a website, you can try it at [repaint.com](https://repaint.com)\n\n![uploaded image](/media/?type=post&id=98979&key=user_uploads/1045360/3fb2e2fb-d58e-41a9-89a1-c8afe08c8e21)\n\n",
        "url": "https://www.ycombinator.com/launches/PkR-repaint-the-ai-website-builder",
        "votes": 3,
        "created_at": "2026-03-21T14:06:43.659Z"
      },
      {
        "id": 89065,
        "title": "Vigilant - Observability for modern software teams",
        "tagline": "Helping startups with application monitoring through logs, metrics, errors, and more.",
        "body": "![uploaded image](/media/?type=post&id=89065&key=user_uploads/1045360/2eaee34c-2e65-45e6-a296-d923eb287b1c)\n\n# **What is Vigilant?**\n\n[Vigilant](https://www.vigilant.run/) helps developers monitor their applications and fix issues without overwhelming complexity.\n\nWe provide a unified platform for log management, error tracking, metrics visualization, and smart alerting - everything needed for complete application visibility.\n\nWe obsess over the user experience end-to-end, from integration to alerting. It makes Vigilant a strong choice for startups looking to monitor their product without a massive investment in learning and integration.\n\n[You can try it yourself here](https://vigilant.run)\n\nㅤ\n\n# **Why Vigilant?**\n\nHowdy, I’m Ben Shumaker, the cofounder of Vigilant. I cofounded Vigilant with my best friend, Izak Fritz. Our goal is to make observability easier.\n\nAfter experiencing the frustrations of juggling multiple observability tools at Robinhood and using painfully clunky default options in our cloud providers, we grew tired of tools that seemed designed for experts. Most dedicated platforms assume you already have tons of specialized knowledge about what to monitor and how—but most developers don’t know.\n\nWe built Vigilant to be the first observability tool prioritizing simplicity, not just comprehensive features.\n\nㅤ\n\n# **The Problem**\n\nObservability platforms feel overwhelming, end-to-end:\n\n* Complex agent installation and configuration requirements\n* Huge variety of integration methods without clear guidance\n* Cluttered interfaces full of random information and endless configurations\n* Tedious manual queries for simple searches and graphs\n* Multi-variable pricing that's unpredictable and expensive\n\nㅤ\n\n# **Our Solution**\n\n![uploaded image](/media/?type=post&id=89065&key=user_uploads/1045360/86936056-dc52-4c4e-8178-7f518ea9c0ad)\n\nVigilant is the opposite of a traditional observability tool:\n\n* SDK-based integration that only requires a few lines of application code\n* Auto-capture so you can send logs and errors without changing every file\n* Smart defaults that minimize setup time\n* Focused interface that surfaces relevant info, and nests complexity\n* Genuinely predictable pricing with a simple equation\n\nㅤ\n\n# **How It Works**\n\n![uploaded image](/media/?type=post&id=89065&key=user_uploads/1045360/fbb74c68-1c6a-4611-9ec7-5fa85719d2ce)\n\n1. **Installation** – Download our SDK for your tech stack\n2. **Integration** – Add a few lines to start sending logs, errors, or metrics\n3. **Manage in Vigilant** – After you've sent data, you view it and search it in Vigilant\n4. **Build Dashboards** – Create graphs and counters to visualize your data\n5. **Get Notifications** – Use integrations to get alerts when issues occur\n\nㅤ\n\n## **Ready to Simplify Your Observability?**\n\nYou can try Vigilant entirely on our free tier. If you're tired of complex monitoring tools and want something you'll enjoy:\n\n* Get started: <https://vigilant.run>\n* Book a call: <https://calendly.com/ben-rep/vigilant-intro>\n* Email us: [founders@vigilant.run](mailto:founders@vigilant.run)\n\nAlready using a platform? We'll manually help you migrate and setup your observability in Vigilant. [Book a call to explore your options.](https://calendly.com/ben-rep/vigilant-intro)",
        "url": "https://www.ycombinator.com/launches/NAX-vigilant-observability-for-modern-software-teams",
        "votes": 6,
        "created_at": "2025-03-28T14:15:06.574Z"
      },
      {
        "id": 73608,
        "title": "AutoEmber - A visual design tool for making real websites",
        "tagline": "Instead of making mockups, just make the real thing!",
        "body": "Hi everyone. We’re Ben and Izak, cofounders of [AutoEmber](https://autoember.com/).\n\n![uploaded image](/media/?type=post&id=73608&key=user_uploads/1045360/88bf4baa-cd9a-451d-8fe7-8af58389c929)\n\n_(Left to Right)_\n\nBen: Former competitive gamer. Was on the MTG Pro Tour at 14. Rank 1 Hearthstone Battlegrounds. Lived with Reynad (CEO and Twitch streamer) and spent 2 years as lead game designer at TempoStorm. \n\nIzak: Built a crypto trading platform at Cove Markets, acquired by Robinhood in 2021. Previously, JP Morgan software engineer. Computer science at the University of Michigan.\n\nWe met over a decade ago playing Magic the Gathering in Holland, Michigan.\n\n### **😓 The Problem:**\n\nMaking websites is hard. To make a website today, you either:\n\n1. Learn html, css, and javascript –> Months of learning, hours of coding to make minor changes\n2. Use a template website builder –> Can’t customize, get a generic website\n\nMeanwhile, there’s thousands of designers who can make pixel-perfect mockups, but then they have to pass it off to a coder who can actually build it.\n\n### **💫The Solution:**\n\n[AutoEmber](https://autoember.com) - a visual design tool that makes real websites\n\n![uploaded image](/media/?type=post&id=73608&key=user_uploads/1045360/6d4a6b5f-aab5-4949-ac45-737d003cb4c7)\n\nWe spent the last couple months building a web app that lets anyone make a custom website, end to end, without coding. The user experience:\n\n1. Make an account\n2. Design your website in the editor\n3. Push “Publish”\n\nToday, you could make a good looking website with a few pages in a couple hours. We’re constantly adding features to make it more 🥧 easy, 💪 powerful, and 💅 pretty\n\n### **Who its for:**\n\nYou’ll find it especially useful if you’re: \n\n* A designer who uses tools like Figma\n* A backend dev who doesn’t like frontend\n* A business owner who wants a custom website without coding\n\nBut anyone making a website should check it out.\n\n### **How you can help**\n\nGive it a try! It’s free. We love feedback. [AutoEmber.com](http://AutoEmber.com)\n\nIf you’re in the market for a website, please reach out! We’d be happy to help you design your website. Contact: [ben@autoember.com](mailto:ben@autoember.com) 👋\n\nThanks, Ben and Izak",
        "url": "https://www.ycombinator.com/launches/J9E-autoember-a-visual-design-tool-for-making-real-websites",
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        "created_at": "2023-07-31T18:05:29.431Z"
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        "full_name": "Param Bidja",
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        "id": 73720,
        "title": "🍷 Transformity - Modern point-of-sale for liquor stores",
        "tagline": "Helping liquor stores save time and grow their business.",
        "body": "### Problem\n\nLiquor stores run inefficiently. Operators rely on paper and phone interactions with suppliers, do not accurately maintain inventory and prices, miss valuable discount periods, struggle to monitor regulatory changes, and do not capitalize on new revenue streams. \n\n### Solution\n\nTransformity is a point-of-sale system purpose-built for liquor stores that integrates with their suppliers, automates manual work, and opens new sources of revenue. Transformity provides:\n\n1. **Supplier integration**: Provides a digitized catalog from liquor wholesalers, including all available products, pricing & discounts.\n2. **Purchasing decisions**: Generates purchase orders that optimize inventory based on pricing and sales.\n3. **Automatic inventory tracking**: Receives digital invoices to seamlessly maintain inventory and prices.\n4. **Regulatory monitoring**: Automatically tracks monthly changes to liquor regulatory requirements.\n5. **Additional revenue streams**: Integrates with delivery and e-commerce platforms.\n\n### Customer response\n\n> _“Transformity is exactly what we needed. A system built by liquor store owners for liquor stores.”_ - Rason Bell, Little Rooster Liquors\n\n![uploaded image](/media/?type=post&id=73720&key=user_uploads/992509/dedbfa6c-14d5-4e24-a281-bb015ded6a9b)\n\n_Our first user in action!_\n\n### Team\n\nJay and Param both come from families who have owned liquor stores across 3 states for over 20 years. They grew up working at their parents’ stores. They’ve been close friends since college and worked as engineers @ Amazon.\n\n### Our request\n\nIf you know anyone in the liquor industry, we’d love to chat! Even connecting us to your favorite liquor store would help. Please reach out at [param@transformity.tech](mailto:param@transformity.tech).",
        "url": "https://www.ycombinator.com/launches/JB2-transformity-modern-point-of-sale-for-liquor-stores",
        "votes": 26,
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    "long_description": "Connect agentic workflows to all your existing software and data. 100+ first party data, action, and event connectors for the tools and services you already use. Easily configurable custom connectors for your enterprise’s proprietary systems, enterprise grade security, and dedicated infrastructure.",
    "one_liner": "AI Agents for Enterprises",
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        "title": "Rustwright: Rewrite of Playwright in rust that uses 70% less memory (and is 2.55x faster)",
        "tagline": "Remove the subprocess and save so much memory",
        "body": "Hey everyone, Suchintan from Skyvern (YC S23). We run browser automation for AI agents at scale, and we're launching [Rustwright](https://github.com/Skyvern-AI/rustwright): [Playwright on an in-process Rust CDP engine.](https://github.com/Skyvern-AI/rustwright) The engine consumes 70% less memory than Playwright, and is 2.55x faster to boot.\n\n**We built this to improve Skyvern’s memory footprint**, and thought this would be independently valuable to the broader community\n\nThe whole idea fits in two lines:\n\n```\nplaywright-python:  your code ──pipe──► Node driver (separate process) ──CDP──► Chromium\nrustwright:         your code ────────────────── raw CDP ─────────────────────► Chromium\n```\n\nRemoving the driver changes three things:\n\n1. **Less abstraction.** The driver subprocess and its pipe speaks CDP straight to Chromium. In our runs, the new engine is 2.55× and **consumes 70% less memory** than the equivalent playwright process\n2. **No Playwright driver fingerprint.** The driver never loads, so its signatures never appear: no `__playwright__binding__` globals, no `Runtime.enable` on the default path (the well-known console-serialization leak). The claim is deliberately narrow: no Playwright-specific automation fingerprint, not \"undetectable\"\n3. **A single rust core**: a single Rust core backs both language bindings (Python with sync and async; Typescript) with plans to expand to many popular languages (Ruby / Go / Java to name a few). Within the supported surface, migration is often a one-line import change — `from rustwright.sync_api import sync_playwright.`Clicks and typing go through real CDP input events, not synthetic DOM calls, and cross-origin iframes auto-attach with `frame_locator()` routing across origins.\n\n[playwright-python](https://github.com/microsoft/playwright-python) pipes every call through a bundled Node driver process. [Rustwright](https://github.com/Skyvern-AI/rustwright) drives Chromium over raw Chrome DevTools Protocol from a Rust core, an async CDP client on Tokio (WebSocket, plus opt-in Unix-pipe transport), exposed in-process through thin PyO3 bindings for Python and napi-rs bindings for Node.\n\nStatus: alpha, Chromium-only\n\n**Want to give it a try? Change one line of code!**\n\n```jsx\npip install rustwright\n\n- from playwright.sync_api import sync_playwright\n+ from rustwright.sync_api import sync_playwright\n```\n\n⭐ Give it a try here and let us know what you think: <https://github.com/Skyvern-AI/rustwright>",
        "url": "https://www.ycombinator.com/launches/RXn-rustwright-rewrite-of-playwright-in-rust-that-uses-70-less-memory-and-is-2-55x-faster",
        "votes": 8,
        "created_at": "2026-07-15T17:10:22.738Z"
      },
      {
        "id": 94724,
        "title": "Skyvern: Asking AI to build scrapers should be easy right?",
        "tagline": "Let AI maintain those pesky scrapers",
        "body": "![uploaded image](/media/?type=post&id=94724&key=user_uploads/1120458/6473b24c-3925-48bf-80c8-00430f81e5ef)\n\n**TL;DR - We just gave Skyvern the ability to write and maintain its own code, making it 2.7x cheaper and 2.3x faster. Give it a prompt (or a series of prompts), and the AI will generate and maintain playwright code while it runs. Try out the via [Open Source](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) or [Cloud](http://app.skyvern.com/?ref=skyvern.com)**\n\n💡 **Recap: What is Skyvern?** It’s [an open source tool](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) that helps companies automate things in the browser with AI. We use computer vision + LLMs to turn prompts into automations that run. We serve both technical and non-technical customers, and have helped them automate things like applying to jobs, fetching invoices or utility bills, filling out government forms, and purchase products from hundreds of different websites.\n\n# **Asking AI to build scrapers should be easy right? Right??**\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132106.418.png)\n\nSome of you may remember our [Hackernews launch](https://news.ycombinator.com/item?id=39706004&ref=skyvern.com) from last year. All of the discussion circled around the same idea: “Building the automation is the hard part… we just want Skyvern to write the code”.\n\nWe agreed. Keeping the agent in the loop means invoking an expensive and non-deterministic LLM call on every run. If Skyvern could compile its reasoning into code and run that instead of keeping an LLM in the loop, automations would become **faster, cheaper, and more reliable.**\n\nSo we tried to teach Skyvern to do exactly that… but it turns out, asking AI to write code the same way you and I would wasn’t easy. We ran into two big problems:\n\n1. Requirements for automations are ambiguous at best, and misleading at worst — even humans struggle to define them clearly\n2. The internet is messy: drop-downs masquerade as textboxes, checkboxes that are always checked, and search bars that are secretly buttons.\n\nGetting an agent to navigate that chaos, understand intent, and still produce maintainable code came through one major breakthrough: **reasoning models**.\n\nReasoning models unlock two important capabilities:\n\n1. They [boosted the agent accuracy](https://www.skyvern.com/blog/web-bench-a-new-way-to-compare-ai-browser-agents/) enough for production use\n2. They let the agent leverage its trajectory to write a script resembling something an engineer would write\n\n# **This is too abstract. When does this matter?**\n\nBefore we dive into the solution, let’s look at a real-world example: Registering new companies for payroll with [Delaware.gov](http://Delaware.gov)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132100.688.png)\n\nHere’s a simple prompt that reliably powers the workflow:\n\n> _Your goal is to fill out the EIN registration form. Fill out the form until you're at the form confirmation page with a summary of all information. Your goal is complete once you see a summary of all of the information._\n\nein_info: {{ein_info}}\n\nWriting deterministic code should be easy right?\n\nHere’s what a naive AI Generated implementation looks like:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-1.png)\n\nAnd here’s where it falls apart almost immediately.\n\n1. Coupled interactions. Choices on this form aren’t independent. Sometimes radio buttons are linked together, but aren’t represented as such in the DOM. Other times, different buttons trigger different follow-up questions, so a static script breaks as soon as you pick something unexpected.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132055.697.png)\n\n**Random failures.** Government websites love to go down at night, change field layouts between sessions, or throw you a “try again later” page mid-run.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132051.371.png)\n\n### **Coupled interactions**\n\nConsider the radio button example above. Any seasoned developer would know that these legal structures are linked together. You’d instinctively model them as a finite set of entity types, and create a tree-like script that branches into different paths based on the input.\n\nBut that abstraction doesn’t exist for an agent. To agents like Skyvern, this is just a list of buttons. The relationship between the users’ input and the available set of legal structures doesn’t exist ahead of time — it must be discovered at runtime.\n\nThe agent has to infer, from the DOM and the page transitions, which choices lead where.\n\n### **Random non-deterministic failures**\n\nAgents shine when things don’t go as planned. We don’t want to hard code every single edge case when compiling an agent into a deterministic script.. because we’re back to writing brittle scripts. Instead, we want to leverage agents for these situations.\n\nTake this government form: Delaware’s portal is unavailable at night or over the weekend. Or sometimes, it’ll require you to call the IRS or sending them a fax / mail to proceed with the form. You want some intelligence in the loop to handle these scenarios gracefully.\n\n# **So.. how can you codify this in an agent?**\n\nAfter a few runs like the ones above, we realized “have the agent write code” wasn’t enough. We needed to copy how developers actually work: figure out the flow, add logic where it breaks, and bake that behavior into Skyvern.\n\nSo we split its job into two:\n\n1. Explore mode, where the agent learns how to navigate a website for a given flow, generating any metadata necessary for it to operate in subsequent runs\n\nReplay mode, it compiles those learnings into deterministic Playwright and runs fast and cheap, only falling back to the agent when something new or weird happens\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132046.901.png)\n\n### **Explore once: get the agents’ trajectory**\n\nLet’s start with a plain prompt for Skyvern. The `ein_info` field is just a json blob with all of a company’s metadata (entity type, responsible party, etc). The goal of this explore run isn’t to finish fast, it’s to learn the flow and record a trajectory we can compile later.\n\n> _Go to [https://sa.www4.irs.gov/modiein/individual/index.jsp](https://sa.www4.irs.gov/modiein/individual/index.jsp)\\\n> and generate an SS4 with the following information: {{ ein_info }}_\n\n### **Step 1: generate a naive script**\n\nFrom that trajectory, the agent can spit out a basic Playwright script. It runs, but it’s brittle—no context, no fallbacks:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-2.png)\n\n**What’s missing:** it doesn’t know _why_ it’s clicking “Corporation,” what should appear next, or how to recover if the DOM shifts (or the portal is down). That’s the gap we close in the next section (intent metadata + deterministic replay with targeted fallbacks).\n\n### **Step 2: Ask the agent to write down its intention so we can re-use it later**\n\nExploration gives us a working script, but it’s brittle because it only knows _what_ to click, not _why_. The fix was to capture **intents** to every action so the run can recover when the page shifts.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132041.611.png)\n\nTo get to this intention, we generate 2 additional parameters at runtime: `user_detail_query` and `user_detail_answer` to capture the **essence** of the action (beyond the interaction itself)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-3.png)\n\nThen, we pass it through another LLM call to reverse engineer the action into the following:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-4.png)\n\nIf this fails at replay time, we don’t blindly guess a new selector—we reuse the **intention** to recover:\n\n1. Try an alternate selector for the same intention (looser match, nearby label, aria text)\n2. If the flow changed, ask the model **once**: “How do I ‘Select legal structure: Corporation’ on this page?”\n3. If we hit a dead end (downtime/error), fallback to the original prompt to decide what to do next\n\nAt this point, we have generated code that looks like this:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-5.png)\n\n### **Step 3 - Run it on the cheap**\n\nNow that we have a plan and a fallback in place, subsequent runs are all using plain playwright — no LLM in the loop.\n\nWe benchmarked this across our customers and saw:\n\n* Average automation run time goes from 278.95s → 119.92s (2.3x faster)\n* Average run cost goes from $0.11 → $0.04 (2.7x cheaper)\n* And maybe more important than either: **runs are now deterministic.**\n\n![](https://www.skyvern.com/blog/content/images/2025/10/Screenshot-2025-10-16-at-14.18.17.png)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/Screenshot-2025-10-16-at-14.18.07-1.png)\n\n# **How is this being used in the wild?**\n\nSkyvern’s “explore → replay” pattern is already running quietly inside a bunch of workflows that used to require brittle, human-maintained scripts. A few examples:\n\n1. **Invoice Downloading**\n\nAgents log into vendor or utility portals with 1000s of different accounts, navigate to the right billing period, and pull invoices. When layouts or date filters change, the intent metadata lets them recover automatically instead of failing.\n\n2. **Purchasing**\n\nTeams use it to automate repeat purchases — think renewing software licenses or buying supplies through the same vendor dashboard each month. The first run learns the checkout path, the fallbacks handle the variety of products, and the replays run deterministically, flagging if a price or SKU changes.\n\n3. **Data Extraction from Legacy Systems**\n\nSkyvern navigates authenticated dashboards, scrapes tables or PDFs, and pushes the structured output into into a database via Webhooks. If the DOM shifts, Skyvern reuses the same intention (“extract transaction rows”) to remap selectors.\n\n4. **Government Form Filling**\n\nFrom payroll registration to business license renewals, Skyvern handles long, multi-step government forms that occasionally break static scripts. Explore mode figures out the flow once replay mode repeats it safely.\n\n## **What’s next? Is it perfect today?**\n\nNot quite. The architecture works well, but there are still a few places where we can make it smarter and cheaper:\n\n1. **Analyze groups of runs when generating code**.\n\nRight now, we don’t aggregate insights across failures. Each replay fixes itself in isolation. If we could analyze _many_ runs together, spotting which selectors break, which flows diverge, we could automatically generalize better code and reduce the need for fallbacks. That’s especially useful for workflows that branch like trees (different inputs → different paths).\n\n2. **Cache data extractions**.\n\nDuring data extraction, we still rely on the LLM to “read” the page each time because many of our users want to both extract and summarize information at the same time. For example, if you ask Skyvern to pull the summaries of the top five posts on Hacker News, it currently parses the DOM from scratch. We’d like to trace _how_ the model found those elements (which selectors, which substrings) and reuse that mapping. That alone could make scraping and data-harvesting flows an order of magnitude cheaper.\n\n3. **Expose everything through the SDK.**\n\nWe think it will be valuable for developers using the Skyvern SDK to auto-generate these scripts for any ai actions / workflows they run, and use them automatically for subsequent runs. It currently requires a Skyvern server running, but soon it will be the default behaviour.\n\n## **Give it a try!**\n\nRun it via our [Skyvern Open Source](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) or [Skyvern Cloud](http://app.skyvern.com/?ref=skyvern.com) versions and let us know what you think!",
        "url": "https://www.ycombinator.com/launches/Odo-skyvern-asking-ai-to-build-scrapers-should-be-easy-right",
        "votes": 12,
        "created_at": "2025-10-17T18:15:33.896Z"
      },
      {
        "id": 90850,
        "title": "📊 Web Bench - A new way to compare AI Browser Agents",
        "tagline": "Expanding on the foundations of WebVoyager",
        "body": "**TL;DR:** [Web Bench](https://www.webbench.ai) is a new dataset to evaluate web browsing agents that consists of 5,750 tasks on 452 different websites, with [2,454 tasks being open sourced.](https://github.com/Halluminate/WebBench/tree/main) Anthropic Sonnet 3.7 CUA is the current SOTA, with the detailed [results here](https://eval.skyvern.com/?evaluation_target=skyvern_final_eval_skyvern_2_0&page=1).\n\nOver the past few months, Web Browsing agents such as [Skyvern](https://www.skyvern.com), [Browser-use](https://browser-use.com/) and [OpenAI's Operator (CUA)](https://operator.chatgpt.com/) have taken the world by storm. These agents have been used in production for a variety of tasks, from helping people apply to jobs, downloading invoices, and even doing SS4 filings for newly incorporated companies.\n\n![](https://blog.skyvern.com/content/images/2025/05/onlayer-gif.gif)\n\n_Skyvern attempting to purchase a product_\n\n![](https://blog.skyvern.com/content/images/2025/05/irs_demo.gif)\n\n_Skyvern attempting to fill out the IRS form_\n\nMost agents report state of the art performance, but we find that browser agents still struggle with a wide variety of tasks, particularly ones involving authentication, form filling and file downloading.\n\nThis is because the standard benchmark today ([WebVoyager](https://arxiv.org/abs/2401.13919)) focuses on read-heavy tasks and consists of **only** **643 tasks across only** **15 websites (out of 1.1 billion possible websites!).** While a great starting point, the benchmark does not capture the internet’s adversarial nature towards browser automation and the difficulty of tasks involving mutating of data on a website.\n\n![](https://blog.skyvern.com/content/images/2025/05/chase3-ezgif.com-video-to-gif-converter--1-.gif)\n\n_Can’t access [chase.com](http://chase.com)_\n\n![](https://blog.skyvern.com/content/images/2025/05/2025-05-08T02_12_10.137717_a_390786750312029848_recording-ezgif.com-video-to-gif-converter--1-.gif)\n\n_Can’t close a pop-up dialog_\n\nAs a result, we partnered with [Halluminate](https://www.halluminate.ai) and created a new benchmark to better quantify these failures. Our goal was to create a new consistent measurement system for AI Web Agents by expanding the foundations created by [WebVoyager](https://arxiv.org/abs/2401.13919) by:\n\n1. Expanding the number of websites from 15 → 452, and tasks from 642 -&gt; 5,750 to test agent performance on a wider variety of websites\n2. Introduce the concept of READ vs WRITE tasks\n3. READ tasks involve navigating websites and fetching data\n   * WRITE tasks involve entering data, downloading files, logging in, solving 2FA, etc, and were not well represented in the WebVoyager dataset\n4. Measure the impact of browser infrastructure (eg, access the websites, solve captchas, not crash, etc)\n\nWe’re excited to announce Web Bench, a new dataset to evaluate web browsing agents that consists of 5,750 tasks on 452 different websites, with [2,454 tasks being open sourced.](https://github.com/Halluminate/WebBench/tree/main)\n\n# Results TL;DR\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-26-at-6.13.00---PM--1-.png)\n\n* All agents performed surprisingly poorly on write-heavy tasks (eg, logging in, filling out forms, downloading files), which implies that this is the area for the highest opportunity for growth\n* Skyvern 2.0 has the best performance for tasks in this category\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.54.34---AM.png)\n\n* Agent performance for read-heavy tasks (eg, extracting information out of websites) was better than we expected\n* Anthropic’s CUA had the highest performance\n* The [entire run is **open source**](https://eval.skyvern.com/) and can be viewed to see the specific performance of each task\n\n# Dataset Creation\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.49.12---AM.png)\n\nThe 452 websites are distributed across 17 primary categories. We sampled the benchmark websites from the [top 1000 websites in the world](https://dataforseo.com/free-seo-stats/top-1000-websites) measured by web traffic. We then cleaned this dataset of sites by removing:\n\n* repeat domains\n* sites without English translations\n* sites blocked by paywall\n\n# Results\n\n## Initial conditions\n\n* We ran OpenAI Operator with a human in the loop to establish a baseline for performance\n* We used consistent browser infrastructure (Skyvern’s infrastructure) when comparing the API-only models without a runtime to eliminate variables\n* We also ran Skyvern 2.0 on Browserbase to compare the impact of infrastructure, but found (surprisingly) that Skyvern’s infrastructure was able to reliably access more websites and encountered fewer anti-bot issues during navigation\n* Each agent was allowed a max of 50 steps per execution\n* Each result was validated by a human in the loop to assert evaluation data quality\n\n## Accuracy (Overall)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.53.34---AM--1-.png)\n\nThese results were a little bit surprising, so we decided to cut the data along 2 dimensions to understand where agents may falter:\n\n1. Read-only tasks (ie, extracting visible data from a particular website)\n2. Write heavy tasks (ie, logging into websites, filling out forms, downloading files)\n\n## Accuracy (Read-only tasks)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.54.34---AM--1-.png)\n\nRead-only tasks constitute tasks that involve agents going to different websites and navigating the sitemap until a particular answer/state has been found.\n\nUnsurprisingly, these results matched the WebVoyager dataset more closely, as the WebVoyager dataset was largely curated to help agents navigate websites and answer questions.\n\nThe biggest 2 sources of failures for read-heavy tasks are:\n\n* Navigation Issues (cannot figure out how to navigate a page, can’t solve popups)\n* Information extraction issues (doesn’t pull the correct information)\n\n## Accuracy (Write-heavy tasks)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-26-at-6.13.00---PM--2-.png)\n\nTasks involving:\n\n* filling out forms\n* logging in\n* solving 2FA\n* downloading files\n\nhad a much lower pass rate across the board.\n\nDigging a bit deeper into the failures, there were two culprits for the failures that popped up:\n\n* Incomplete execution (hallucinating that it’s achieved the goal when it has not)\n* Unable to identify the correct element to interact with (eg can’t close a popup dialog)\n\n![](https://blog.skyvern.com/content/images/2025/05/ezgif.com-speed-1.gif)\n\n_Can’t close subscription pop-up_\n\n![](https://blog.skyvern.com/content/images/2025/05/error2-ezgif.com-speed-1.gif)\n\n_Unable to find and click coupon buttons_\n\nThese issues manifest as agents making adverse changes when filling out forms, or optimistically assuming that clicking a “Submit” button completes the task, when in reality, a captcha appeared that now needs to be solved.\n\nThis issue is very similar to the phenomenon observed in coding agents, where smarter models try to “overhelp” with code changes by either making changes to unrelated parts of the codebase or repeatedly suggesting incorrect things because they’re missing some important context.\n\n## Agent Failure Modes - Deepdive\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.56.30---AM.png)\n\nDigging deeper, we were able to qualify the overall failures into two buckets:\n\n1. Agent Failures (eg, Agents hallucinated/made poor decisions or didn’t interact with important elements)\n2. Infrastructure failures (eg, Agent can’t access the website, solve a captcha to log in)\n\n### Agent issues\n\nThe 4 biggest categories of agent errors are:\n\n* Navigation Issue (cannot figure out how to navigate a page, can’t solve popups)\n* Incomplete execution (hallucinating that it’s achieved the goal when it has not)\n* Time-outs (exceeds step limits)\n* Information extraction issue (doesn’t pull the correct information)\n\n### **Infrastructure issues**\n\nThe 3 biggest categories of infrastructure issues are:\n\n* Proxy (Failed to access website/website blocked)\n* Captcha (Verification required to proceed and the infrastructure is unable to solve it)\n* Login/Authentication (Google Auth detecting you’re a bot)\n\nThese findings imply that the browser infrastructure powering the agents is equally as important as the quality of the agent itself.\n\n# Other interesting characteristics\n\nWhile accuracy is the most important characteristic of a web browsing agent, there is also a desire to get “faster” and “cheaper” agents.\n\nFast and cheap agents can be characterized by tracking the following metrics:\n\n1. Runtime duration\n2. Number of steps\n\nWhile the right pricing model for browser agents hasn’t emerged yet, this data gives an important insight into whether pricing per hour (common amongst hosted browsers + older robotic process automation) and pricing per step (common amongst computer use APIs) is the right methodology.\n\n## Agent Runtime Duration\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-28-at-10.14.41---AM.png)\n\nThis metric is important for a few latency-sensitive market segments/situations:\n\n1. Copilot-like products where a human is supervising 1 or many agents executing in parallel\n2. Phone agents referencing information / doing real-time lookups while a user is talking\n3. Websites aggregating information in real-time to show to the user(e.g., looking up flight or domain name availability)\n\n## Steps\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-10.47.56---PM.png)\n\nMost web browsing agents’ costs scale with the number of steps (i.e., page scans) required to complete a specific task.\n\nAgents may use a varied number of steps for a few reasons:\n\n1. Most agents use different architectures to batch actions together to minimize the number of steps\n2. Agents eager to solve the problem may use a lot of steps in error situations to try to independently resolve their issues (e.g., chatting with support for solutions instead of terminating early)\n3. Agents using pessimistic approaches to reduce hallucinations may invalidate batches of actions whenever the website changes after a particular action (i.e., filling in an address field might invalidate the action plan for the rest of the page)\n\n# Next Steps\n\n* We intend to benchmark [Claude 4](https://www.anthropic.com/news/claude-4), [Operator O3](https://openai.com/index/o3-o4-mini-system-card-addendum-operator-o3/), [UI-TARs](https://github.com/bytedance/UI-TARS), and [Mariner API](https://deepmind.google/models/project-mariner/)\n* We intend to expand the benchmark to cover more categories of websites beyond the top 1000 websites in the world\n* We intend to expand this dataset to include other languages to assert multi-lingual browser agent performance\n\n# FAQ\n\n### Why not include a bigger cohort of websites?\n\nThe goal of the first version of Web Bench was to start with a reasonably large number of websites + tasks.\n\nThe next few versions will expand: (1) the number of websites encompassed by this benchmark, (2) the language of websites, and (3) the categories of websites\n\n### Why were only a subset of vendors benchmarked?\n\nThe overall cost to run this benchmark was approximately $3,000 per agent for human evaluations. This cost is high enough to be prohibitive of testing every single agent on the market.\n\nThe halluminate team plans to release an open-source automated evaluation harness to allow teams to self-serve testing against [Web Bench](https://www.webbench.ai). We leave this for future work.\n\nIf you’d like to submit benchmark results for your own agent, please [contact the Halluminate team](mailto:jerry@halluminate.ai)\n\n### Where can I read the technical deepdive?\n\nFor a comprehensive technical debrief on the dataset creation and evaluation methodology, check out the Halluminate team writeup [here](https://halluminate.ai/blog/benchmark).\n\n### Did anything funny happen along the way?\n\nYes.\n\nWe had examples of Skyvern chatting with GitHub’s AI Support bot\n\n![](https://blog.skyvern.com/content/images/2025/05/image--67-.png)\n\nBrowser Use googled how to evade Cloudflare captchas\n\n![](https://blog.skyvern.com/content/images/2025/05/image--68-.png)\n\n",
        "url": "https://www.ycombinator.com/launches/NdK-web-bench-a-new-way-to-compare-ai-browser-agents",
        "votes": 18,
        "created_at": "2025-05-29T18:26:39.628Z"
      },
      {
        "id": 89234,
        "title": "🐉 Skyvern MCP Server: let agents control your browser",
        "tagline": "Meet Skyvern, an open source AI agent that can control your browser and complete complex tasks",
        "body": "We were playing around with MCPs over the weekend and thought it would be cool to build an MCP that lets Claude / Cursor / Windsurf control your browser: <https://github.com/Skyvern-AI/skyvern/tree/main/integrations/mcp>\n\nJust for context, we’re building Skyvern, an open-source AI Agent that can control and interact with browsers using prompts, similar to OpenAI’s Operator.\n\nThe MCP Server can:\n\n* This allows Claude to navigate to docs websites/stack overflow and look up information like the top posts on hackernews\n\n![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/9a0259b8-ebb7-44c4-9f4d-a881c31c8d10)\n\n* This allows Cursor to apply for jobs, fill out contact forms, log in and download files, etc.\n\n  ![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/f9c936a8-88de-47cc-8209-7983754fcb8a)\n\n* Connect Windsurf to take over your Chrome while running Skyvern in “local” mode\n\n![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/40ca033c-fa32-4c7f-bda0-7cd072ae9212)\n\nWe built this mostly for fun, but we can see this being integrated into AI agents to give them custom access to browsers and execute complex tasks like booking appointments, downloading your electricity statements, looking up freight shipment information, etc.",
        "url": "https://www.ycombinator.com/launches/NDG-skyvern-mcp-server-let-agents-control-your-browser",
        "votes": 8,
        "created_at": "2025-04-03T18:28:44.864Z"
      },
      {
        "id": 86895,
        "title": "Skyvern 2.0 - State-of-the-art web navigation with 85.8% on WebVoyager Eval",
        "tagline": "Open source AI Web Agent",
        "body": "We’ve been working hard, cooking up something new to share with you all!\n\nSkyvern 2.0 **scored state-of-the-art 85.85%** on the WebVoyager Eval.\n\nThis is the best-in-class performance of all WebAgents, giving advanced closed-source web agents like Google Mariner a run for their money.\n\n![uploaded image](/media/?type=post&id=86895&key=user_uploads/1120458/4f04949f-e01d-42cb-b568-a2460f7ac7f5)\n\n### TL;DR\n\n* **Real-World Tests:** We ran all of the tests in Skyvern Cloud to get a better representation of autonomous browser operations (ie, they didn’t run on any local machines)\n* **Open-Sourced Results:** All of the runs can be [seen here](https://eval.skyvern.com/) through our UI.\n* **We’re just getting started**. Try [Skyvern Cloud](https://app.skyvern.com/) or [Skyvern Open Source](https://github.com/Skyvern-AI/Skyvern) out for yourself and see Skyvern in action!\n\n## Agent Architecture\n\nAchieving this SOTA result required expanding Skyvern’s original architecture. Skyvern 1.0 involved a single prompt operating in a loop both making decisions and taking actions on a website. This approach was a good starting point but scored \\~45% on the WebVoyager benchmark because it had insufficient memory of previous actions and could not do complex reasoning.\n\nTo solve this problem, we created a self-reflection feedback loop within Skyvern. This resulted in 2 main changes:\n\n1. We added a “Planner” phase, which could decompose very complex objectives down into smaller achievable goals\n2. This allowed Skyvern to have a working memory of things it had completed and things that were still waiting to be finished\n   * This allows Skyvern to work with long, complex prompts without increasing the hallucination rate\n3. We added a “Validator” phase, which confirmed whether or not the original goals the “Planner” generates are successfully completed\n4. This acts as a supervisor function to confirm that the Task executor is achieving its objectives as expected and report any errors/tweaks back to the Planner so it can make adjustments in real-time as needed\n\n![](https://blog.skyvern.com/content/images/2025/01/architecture.png)\n\n## Test Setup\n\nAll tests were run in [Skyvern Cloud](https://app.skyvern.com/) with an **async cloud browser** and used a combination of GPT-4o and GPT-4o-mini as the primary decision-making LLMs. The goal of this test is to assert real-world quality — the quality represented by this benchmark is the same as what you would experience with [Skyvern](https://app.skyvern.com/)’s browsers running asynchronously.\n\n💡 **Why is this important?** Most benchmarks are run on local browsers with a relatively safe IP address and an impressive browser fingerprint. This is not representative of how Autonomous agents will run in the cloud, and we wanted our benchmark to represent how agents would behave in production\n\nIn addition to the above, we’ve made a few minor tweaks to the dataset to bring it up to date:\n\n1. We’ve removed 8 tasks from the dataset because the results are no longer valid. For example, one of the tasks asked to go to [apple.com](http://apple.com) and check when the Apple Vision Pro will be released — in 2025, it’s already been released and forgotten\n2. Many of the flight/hotel booking tasks referenced old dates. We updated both the prompt and the answer to more modern dates for this evaluation\n\n🔍 **For the curious**:\n\nThe full dataset can be seen here: <https://github.com/Skyvern-AI/skyvern/tree/main/evaluation/datasets>\n\nThe full list of modifications can be seen here: <https://github.com/Skyvern-AI/skyvern/pull/1576/commits/60dc48f4cf3b113ff1850e5267a197c84254edf1>\n\n## Test Results\n\nWe’re doing something out of the ordinary. In addition to the results, we’re making our entire benchmark run public.\n\n💡 **Why is this important?** Most benchmarks are run behind closed doors, with impressive results being published without any accompanying material to verify the results. This makes it hard to understand how things like hallucinations or website drift over time play an effect on agent performance\n\nWe believe this isn’t aligned with our open source mission, and have decided to publish the entire eval results to the public.\n\n📊 All individual run results can be seen here: <https://eval.skyvern.com>\n\n🔍 The entire Eval dataset can be seen here: <https://github.com/Skyvern-AI/skyvern/tree/main/evaluation/datasets>\n\n## Limitations of the WebVoyager benchmark\n\nThe WebVoyager benchmark is a comprehensive benchmark testing a variety of prompts on 15 different websites. While this acts as a good first step in testing Web agents, this only captures 15 hand-picked websites of the millions of active websites on the internet.\n\nWe think there is tremendous opportunity here to better evaluate web agents against one another with a more comprehensive benchmark similar to SWE-Bench.\n\n## What’s on the horizon\n\nBrowser automation is still a nascent space with tons of room for improvement. While we’ve achieved a major milestone in agent performance, a few important issues are next to be solved:\n\n1. Can we improve Skyvern’s reasoning to operate efficiently in situations with more uncertainty? Examples include vague prompts, ambiguous or highly complex websites/tools, websites with extremely poor UX (legacy portals)\n2. Can we give Skyvern access to more tools so it can effectively log into websites, make purchases, and behave more like a human?\n3. Can we have Skyvern better memorize things it has already done in the past so it can do them again at a lower price point?\n\n## References\n\n* [Google Mariner Report](https://deepmind.google/technologies/project-mariner/)\n* [Claude Computer Use Report](https://docs.anthropic.com/en/docs/build-with-claude/computer-use)\n* [WebVoyager Report](https://arxiv.org/html/2401.13919v4)\n* [WILBUR Report](https://arxiv.org/html/2404.05902v1)\n* [AgentE Report](https://arxiv.org/html/2407.13032v1)\n* [HCompany Report](https://www.hcompany.ai/blog/a-research-update)",
        "url": "https://www.ycombinator.com/launches/MbX-skyvern-2-0-state-of-the-art-web-navigation-with-85-8-on-webvoyager-eval",
        "votes": 10,
        "created_at": "2025-01-16T16:48:00.855Z"
      },
      {
        "id": 86198,
        "title": "🐉 Skyvern's Contact Form Agent: Automate contact form submissions with AI",
        "tagline": "Cold outbound is the worst. Try this new form of outbound instead!",
        "body": "Companies use [Skyvern](https://www.skyvern.com/) to automate browser-based workflows, doing tasks like form-filling, invoice downloading, and more. One emerging use case for Skyvern has been navigating to thousands of different websites and filling out contact forms... to scale a new untapped outbound channel.\n\nAnd this strategy blew our minds. Why:\n\n1. Companies with contact forms often, guess what, want to be contacted\n2. Contact form submissions often go to a specific team dedicated to help with inquiries\n3. You avoid all of the craziness that comes with setting up email infrastructure: buying up domains, warming inboxes, worrying about bounce rates and other email nuisances\n4. You can send as many as you want whenever you want—forget limiting the number you send per day to increase deliverability\n\nThe demand and success of this use case led us to create a dedicated agent tailored to it: Skyvern Contact Forms. And this is why I’m here, to share this sick outbound strategy and let you know we can help :)\n\nTry it out at [**https://app.skyvern.com/forms**](https://app.skyvern.com/forms), let us know what you think!\n\nLike what you see and want bulk pricing? [**I’d love to chat.**](https://meetings.hubspot.com/skyvern/demo)\n\n![uploaded image](/media/?type=post&id=86198&key=user_uploads/1120458/2e37309e-035e-41cd-b89a-c8552a5019d6)\n\n",
        "url": "https://www.ycombinator.com/launches/MQI-skyvern-s-contact-form-agent-automate-contact-form-submissions-with-ai",
        "votes": 8,
        "created_at": "2024-12-10T18:35:41.619Z"
      },
      {
        "id": 81634,
        "title": "🐉 Skyvern Cloud - Open source AI Agent to automate browser based workflows",
        "tagline": "The easiest way to automate similar tasks on a lot of different websites",
        "body": "### TL;DR\n\n[Skyvern](https://skyvern.com/) helps companies automate browser-based workflows using AI. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts. We’re open source — check out [our repository here](https://github.com/Skyvern-AI/Skyvern). **We just launched Skyvern Cloud — check it out at **[**app.skyvern.com**](https://app.skyvern.com)**.**\n\n**—**\n\n### 🧙‍♂️🐉 Skip the boring explanation, show me the magic!\n\n**We have good news!** We just launched Skyvern Cloud. You can go to [app.skyvern.com](http://app.skyvern.com) and try playing around with it! You’ll get $5 of credit when signing up and setting up a payment method\n\nHere’s an example of it filling out the job application form and applying to Lever’s job demo website:\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/b3e666b8-5e36-4e7e-91ac-1120de55cd39)\n\n### 🤔 What are browser workflows?\n\nMost companies we’ve talked to have manual or semi-automated workflows that support their core product. Many of these workflows started manually as companies were getting off the ground, [doing things that don’t scale](https://paulgraham.com/ds.html), and evolved to occupy a larger amount of human capital or automated with unreliable scripts.\n\n**Example 1 — Downloading invoices on a large number of websites**\n\nLet’s say it’s the end of the month, and your accountant is hounding you for invoices for all your transactions this month. Traditionally, you would have to log into each portal and download it yourself. Skyvern can help automate this for you! **PS: If you’d like to automate a complex flow like this, we’d [love to help get you set up.](https://meetings.hubspot.com/suchintan)**\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/49e1d569-5a46-4728-a3ec-6a0a4d8c40aa)\n\n**Example 2 — Filling out forms + uploading documents on Government websites**\n\nLet’s say you’re an accounting company or a law firm, and you want to help your clients get set up for Payroll in California — you wouldn’t want to go get registered for EDD manually for each potential customer.. and in each state! Call in a favor from Skyvern to help automate this.\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/66682edb-bdc4-4a03-b157-235501356bfc)\n\n**Example 3 — Automating materials procurement from commerce websites**\n\nLet’s say you’re a B2B marketplace for car parts, and your users submit orders from multiple vendors with you. A subset of vendors you work with don’t support ordering via an API, so you have a human in the loop to transact orders for those vendors. Here’s an example of Skyvern navigating to [finditparts.com](http://finditparts.com/) and ordering an airbag — all via an API call!\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/f4630123-b7d1-4fff-aedb-31dd3ea11f05)\n\n**Example 4 —** **Completing dynamic multi-step workflows**\n\nLet’s say that you’re trying to automate complex workflows, such as generating insurance quotes. Skyvern is able to navigate each step until its specified goal is achieved — even if the steps change depending on the user’s situation. Here’s an example of Skyvern navigating to [Geico.com](http://geico.com/) and generating an auto insurance quote with your personalized information.\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/f800fef8-1a6d-4345-ba5a-043a154ad488)\n\n### 🤩 How does it work??\n\nSkyvern uses LLMs to become an AI Agent capable of interacting with websites like you or I would — all via a simple API call.\n\nTraditional approaches required writing custom scripts for websites, often relying on [DOM parsing](https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model) and [XPath-](https://en.wikipedia.org/wiki/XPath)based interactions, which would break whenever the website layouts changed.\n\nSkyvern’s prompt → automation breaks these constraints and relies on multi-modal LLMs to parse items in the viewport and interact with them the way a human would.\n\nThis approach gives us a few advantages:\n\n1. Skyvern can take a single prompt (i.e., “Download an invoice from the order history page”) and repeat it across a large number of similar websites. This would traditionally require one script per website — making tackling the long tail of website interactions very challenging\n2. Skyvern is able to operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow without any customized code\n3. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate\n4. We’re able to circumvent or navigate through many bot detection methods, as many of them rely on looking for outlier behavior\n5. We rely on LLMs to reason through interactions to make sure we can cover complex situations. Examples include:\n   * If you wanted to get an auto insurance quote from Geico, the answer to a common question, “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16\n   * If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!)\n\n### 😮 And you’re open source?\n\nYes! You can [check out our code here](https://github.com/Skyvern-AI/Skyvern). We’re open source for two big reasons:\n\n1. It allows developers to be able to look at, understand, and dive deep into Skyvern’s implementation details to (1) expand their capabilities by adding support for new functionality and (2) decode why they’re doing what they’re doing.\n2. It allows security-minded enterprises to escape “security theater” and keep data on-prem by self-hosting Skyvern.\n   1. If this is at all interesting to you, [let’s chat](https://meetings.hubspot.com/suchintan?uuid=9cb375c0-cb2c-4900-b22d-f52baa74dfb2).\n\n### Our Ask\n\nDo you have any complex workflows that you’d love to automate? We’d love to chat! Shoot me an email at [suchintan@skyvern.com](mailto:suchintan@skyvern.com) or grab some time via [my calendar.](https://meetings.hubspot.com/suchintan)",
        "url": "https://www.ycombinator.com/launches/LEg-skyvern-cloud-open-source-ai-agent-to-automate-browser-based-workflows",
        "votes": 35,
        "created_at": "2024-06-20T14:46:54.762Z"
      },
      {
        "id": 77665,
        "title": "🐉 Skyvern - Automate Browser-based workflows with AI",
        "tagline": "Automate manual workflows within your company with an AI Agent",
        "body": "### TL;DR\n\nSkyvern helps companies automate browser-based workflows using LLMs and computer vision. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts.\n\n### 🤔 What are browser workflows?\n\nMost companies we’ve talked to have manual or semi-automated workflows that support their core product. Many of these workflows started manually as companies were getting off the ground, [doing things that don’t scale](https://paulgraham.com/ds.html), and evolved to occupy a larger amount of human capital or automated with unreliable scripts.\n\n**Example 1 — Automating materials procurement from commerce websites**\n\nLet’s say you’re a B2B marketplace for car parts, and your users submit orders from multiple vendors with you. A subset of vendors you work with don’t support ordering via an API, so you have a human in the loop to transact orders for those vendors. Here’s an example of Skyvern navigating to [finditparts.com](http://finditparts.com) and ordering an airbag — all via an API call!\n\n![uploaded image](/media/?type=post&id=77665&key=user_uploads/1120458/055a1d70-8ed2-428d-8104-740f7632d3e7)\n\n**Example 2 —** **Completing complex multi-step workflows**\n\nLet’s say you’re trying to automate complex workflows such as generating insurance quotes. Skyvern can navigate each step until its specified goal is achieved — even if the steps change depending on the user’s situation. Here’s an example of Skyvern navigating to [Geico.com](http://Geico.com) and generating an auto insurance quote with your personalized information.\n\n![uploaded image](/media/?type=post&id=77665&key=user_uploads/1120458/747160ae-eb91-48c0-977d-830074a5b93b)\n\n### 🤩 How does it work??\n\nOur focus is bringing stability to browser-based workflows. We leverage LLMs to create an AI Agent capable of interacting with websites like you or I would — all via a simple API call.\n\nTraditional approaches required writing custom scripts for websites, often relying on [DOM parsing](https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model) and [XPath-](https://en.wikipedia.org/wiki/XPath)based interactions which would break whenever the website layouts changed.\n\nSkyvern operates like a human — increasing reliability by not relying on fragile scripts, instead relying on computer vision to parse items in the viewport and interact with them the way a human would.\n\nThis approach gives us a few advantages:\n\n1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code\n2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate\n3. We’re able to circumvent or navigate through many bot detection methods as many of them rely on allowing people to access the websites\n4. We rely on LLMs to reason through interactions to ensure we can cover complex situations. Examples include:\n   * If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16\n   * If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!)\n\n### Our Ask\n\nDo you have any complex workflows that you’d love to automate? Were you [doing things that don’t scale](https://paulgraham.com/ds.html) that you now need to scale? We’d love to chat! Shoot me an email at [suchintan@skyvern.com](mailto:suchintan@skyvern.com) or grab some time via [my calendar.](https://meetings.hubspot.com/suchintan)",
        "url": "https://www.ycombinator.com/launches/KCf-skyvern-automate-browser-based-workflows-with-ai",
        "votes": 69,
        "created_at": "2024-01-19T17:34:36.013Z"
      },
      {
        "id": 72744,
        "title": "🐉 Wyvern AI - Increase revenue in marketplaces with better product ranking",
        "tagline": "With Wyvern, not only do marketplaces get better product ranking, they get the ability to fine-tune the ranking with unique insights about their business",
        "body": "**TL;DR:** [Wyvern.ai](https://www.wyvern.ai?utm_source=yc&utm_medium=yc_launch_email&utm_campaign=launch_yc&utm_id=10) is a machine learning platform for marketplaces to help them optimize their product ranking. We do this by providing an API that’s integrated with their product catalog, that optimizes product ranking based on factors such as popularity, relevance, and personalization. In addition, we also provide a framework where customers can fine-tune their product ranking models with custom insights and tailor them to their business. We built this exact platform before, and it unlocked over $100M of value.\n\n## 💸 Product Ranking: **Unleashing Growth Potential**\n\nMarketplaces, such as Amazon, eBay, or Etsy, often have millions of products listed by various sellers, making it crucial to determine how to present these products to users effectively. These companies have teams of data scientists dedicated to improving the quality of product ranking, factoring in things like personalization (ie individual user preferences), relevance, and general product popularity.\n\nOur experience building Faire and Gopuff’s machine learning platform highlighted the value that product ranking derives for the business. Through successive iterations of machine learning models, we witnessed impacts exceeding 10% (equivalent to over $100 million) for these businesses.\n\nA notable portion of these impactful iterations involved providing machine learning models with access to unique insights into user behaviour. For instance, at Faire, gaining a better understanding of what products their retailers stocked in their stores enabled tailoring the shopping experience to suit each store's distinct characteristics.\n\nOther larger marketplaces had their own insights. At eBay, incorporating buyer-seller shipping logistics information into their product ranking models produced notable improvements. Similarly, at Etsy, the users' initial interactions with the site indicate their shopping intention, allowing their product ranking models to transform the entire homepage to deliver a personalized experience.\n\n## 💣 Challenges to navigate along the way\n\nWhile larger marketplaces have the leverage to iterate on their product ranking, smaller marketplaces tend to buy off-the-shelf solutions, allowing them to bootstrap and search for product-market-fit.\n\nOnce a marketplace establishes product-market-fit, transitioning from an off-the-shelf product ranking solution to a highly customizable one is deceptively challenging and requires substantial engineering investment:\n\n1. **Latency:** Effective product ranking models perform better when they can evaluate a large number of products. However, as the number of products increases, so does the user-facing latency. Maintaining fast browsing experiences while running machine learning models on hundreds of products in under 100 milliseconds is a demanding technical hurdle.\n2. **Customizability:** The value derived from machine learning models in product ranking heavily relies on incorporating unique user behavior within the marketplace. Therefore, the system needs to be highly flexible, enabling data science teams to explore and implement new insights they acquire about users.\n3. **Observability:** The importance of data quality and accuracy cannot be overstated in machine learning. Ensuring that that the data used for model training and evaluation is reliable, enabling effective decision-making and accurate product ranking.\n\n## 🐉 Solution: [Wyvern AI](https://www.wyvern.ai?utm_source=yc&utm_medium=yc_launch_email&utm_campaign=launch_yc&utm_id=10)\n\nWyvern’s machine learning platform solves these problems. Not only do we give marketplaces a model that immediately improves their product ranking, we also provide:\n\n1. The ability to iterate on and fine-tune the model by expanding its inputs, such as relevance, personalization, popularity, and more.\n2. The ability to adjust the model's objective, allowing it to optimize conversion, GMV, revenue, profit, or a combination thereof, based on the current focus of the business.\n3. An observability layer is provided to marketplaces, offering essential capabilities for debugging and evaluate historic predictions. This layer also facilitates transforming the data into a feedback loop, enabling continuous improvement of the performance of real-time machine learning models.\n\nThis allows our customers to dedicate data scientists to iterate on models within their marketplace, allowing them to continually improve the quality of product ranking across all of their surfaces.\n\n![uploaded image](/media/?type=post&id=72744&key=user_uploads/1120458/639a4715-c00e-430a-94c3-f5b122dfe255)\n\n## 🙏 Our asks\n\n* Are you a marketplace company? We would love to chat.\n* Do you know anyone working at growing marketplaces? We’d love an introduction.\n* If you have any questions, you can reach us at [suchintan@wyvern.ai](https://mailto:suchintan@wyvern.ai)",
        "url": "https://www.ycombinator.com/launches/IvI-wyvern-ai-increase-revenue-in-marketplaces-with-better-product-ranking",
        "votes": 18,
        "created_at": "2023-07-05T13:51:14.223Z"
      }
    ]
  },
  {
    "id": 28893,
    "name": "VetRec",
    "slug": "vetrec",
    "former_names": [
      "Verba",
      "Neum",
      "Verba",
      "Neum",
      "Neum AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b431c0a63a44f00269d119fe4eabf718b56980ac.png",
    "website": "https://vetrec.io",
    "all_locations": "Seattle, WA, USA",
    "long_description": "VetRec automates the process of taking clinical notes for veterinarians in a matter of seconds. Veterinarians should just review clinical notes, not spend time creating them. A visit with a pet is precious and 100% of the focus should be spent on the pet, not on notes. VetRec is the veterinarian's best friend.",
    "one_liner": "AI Scribe for veterinarians. Saving time and improving patient care.",
    "team_size": 45,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1689362011,
    "tags": [
      "Generative AI",
      "Health Tech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vetrec",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/vetrec.json",
    "year_founded": 2023,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryvetrec",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b431c0a63a44f00269d119fe4eabf718b56980ac.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/13494a0e7396974c3a617d8a07751719983f69ca.png"
    ],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1340645,
        "full_name": "David de Matheu",
        "title": "Founder",
        "founder_bio": "David started his career working in gaming, communications and developer experience at Microsoft. He is passionate in building solutions that help democratize technology, especially within the developer community.",
        "is_active": true,
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        "full_name": "Kevin Cohen",
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        "founder_bio": "Originally from Venezuela, Kevin is a Software Engineer who spent 5+years at Microsoft building Data and AI platforms. Kevin left Microsoft to go work at Circle - the creators of USDC - building a service for ingesting and labeling blockchain data. Now, he is focused on building VetRec, the veterinarian's best friend.\n\nOn his free time, you will find him cooking and hosting people over, his passion after programming.",
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        "title": "VetRec and IndeVets Join Forces to Boost Veterinarian Efficiency and Patient Care with Innovative AI Technology",
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        "date": "Feb 25, 2025"
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        "title": "VetRec and Bond Vet Partner to Revolutionize Veterinary Care Across 55+ Locations",
        "url": "https://www.prnewswire.com/news-releases/vetrec-and-bond-vet-partner-to-revolutionize-veterinary-care-across-55-locations-302356621.html",
        "date": "Jan 22, 2025"
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      {
        "title": "Cornell College of Veterinary Medicine partners with AI-powered scribe VetRec",
        "url": "https://www.dvm360.com/view/cornell-college-of-veterinary-medicine-partners-with-ai-powered-scribe",
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        "id": 78834,
        "title": "VetRec - AI scribe for veterinarians",
        "tagline": "Automate SOAP notes for veterinarians in less than a minute after a visit.",
        "body": "# TLDR;\n\n[VetRec](https://vetrec.io/) is helping veterinarians automate the process of note-taking in a matter of seconds by generating SOAP-style notes with AI immediately after each visit. No need to use any awkward dictation software or manually input notes anymore!\n\nVetRec notes follow any desired template. Whether it’s generic SOAP notes for general practice, notes tailored for emergency doctors, specialists, equine, and more. Templates are completely customizable to tailor the clinic or veterinarian’s notes style.\n\n# **The Problem 😓**\n\nVeterinarians are swamped with notes. Normally two things happen:\n\n1. The Veterinarian spends the consultation looking at a screen to input notes and making sure they are correct **while attending a pet in the room**, making the pet and owner anxious.\n2. They try to memorize the notes from the consultation and spend countless hours after the day writing them out. This leads to burnout, getting home late, and sometimes forgetting details (which is expected given the amount of work vets do daily!)\n\n# **The Solution 🐶🐱**\n\nEnter [VetRec](https://vetrec.io)\n\n![uploaded image](/media/?type=post&id=78834&key=user_uploads/1362703/be00e103-a6f6-4506-9509-a5bc4748b8ef)\n\nVetRec helps the veterinarian focus on the pet and not on the notes. By recording a consult, VetRec’s AI technology listens and processes an entire consult (no matter how long!) and after the visit, generates SOAP notes (in whatever format the Vet likes) in less than a minute!\n\n![uploaded image](/media/?type=post&id=78834&key=user_uploads/1362703/ed7433ee-1ae1-43cc-bd65-1de320fd1807)\n\nIn addition, VetRec helps both the veterinarian and practice managers generate discharge notes, summaries, and insight into what went on during the visit:\n\n* What medications were administered?\n* What sort of consent was granted by the owner?\n* What are the most common cases and differential diagnoses provided?\n\nWhen using VetRec, veterinarians can finish their work at work, and focus exclusively on the pet during consultations.\n\nThe vet’s best friend has arrived ;)\n\n# **About us 🇻🇪🇨🇷🤖**\n\n[Kevin](https://linkedin.com/in/pkevincohen) and [David](https://linkedin.com/in/ddematheu), come from Venezuela and Costa Rica respectively and have a deep passion for technology. You will find both of them building prototypes to automate tennis court reservation systems or pursuing their passion for cooking. Both of them spent 6+ years in Microsoft building large-scale Data & AI platforms.\n\nHaving veterinarian family members and friends, they often heard the struggle of keeping up with the demands of visits and finishing notes on time after each day. After building AI tools for developers for the past 5 months with their previous idea, they decided to switch and apply the learnings to build a product that would solve this problem.\n\nAfter **launching just two months ago, 100+ veterinarians are using VetRec** and saving hundreds of hours on note-taking processes.\n\n# **Ask**\n\nIf you know any veterinary professionals, tell them about VetRec. We help save hours in their day, so they will thank you for the referral.\n\nIf you are a veterinary professional, get started today. VetRec is free to try for two weeks, head on to <https://app.vetrec.io/register> to sign up or email [hello@vetrec.io](mailto:hello@vetrec.io) for information.",
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        "id": 73645,
        "title": "✨ 🫴 Hidden Hand: AI-powered client intake for law firms",
        "tagline": "Faster intake, less labor, better advocacy.",
        "body": "Hi everyone, I’m Bennett from [Hidden Hand](https://hiddenhand.io).\n\n**TLDR: Hidden Hand uses AI to reduce client intake time by 30%, allowing law firms to focus on providing better advocacy for all their clients.**\n\n# \n\n# **The Problems**\n\nThere are \\~450,000 law firms in the US, many of which are _boutique_ law firms that focus on one practice area, like personal injury or workers’ compensation.\n\n* **Client Intake Bottleneck**: The key bottleneck is their client intake process - efficiently identifying suitable clients and onboarding them with contracts, insurance, documents, etc.\n* **Importance of Empathy:** Lawyers are here to help people. Nobody wants a robot to represent them. Empathy and human connection are crucial to signing and keeping a client.\n* **Antiquated Tech, Low-Risk Appetite:** Law firms are built on outdated technology, which translates to outdated workflows. Many are hesitant to change systems because of the importance of the human side of law.\n\n# **AI + Human = Better Advocacy**\n\nHidden Hand provides a hybrid solution that combines the best parts of both automated intake and human-led intake to increase speed without sacrificing human connection.\n\n* **Offload easy tasks to AI:** We build customized messaging chatbots and beautiful intake forms for tasks that don’t require human involvement. Don’t worry, we always give clients the ability to talk to a real human. _Less labor, more time for what matters._\n\n  ![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/f19dc744-87be-413e-9ca2-ee5c807ce40e)\n\n* **Automated communication**: Hidden Hand can automatically follow up with clients to get any missing information via text or email. Messages are automatically connected to any case management software, and everything is kept in one place.\n\n  ![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/1e026afd-2d30-4f12-8a1f-e94e9eb55ee1)\n\n* **Automatic Data Entry:** Instead of manually entering information into case management software, we can extract data or documents from conversations, and automatically enter it, saving hours for paralegals. Most importantly, _we maintain the security and privacy of these conversations under attorney-client privilege_ in accordance with the American Bar Association (ABA) guidelines.\n\n  ![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/1fd844f2-8669-4615-9537-e2a48941aa72)\n\n\n# **Backstory**\n\nI’m Bennett, founder of Hidden Hand. My background is in building end-to-end machine learning systems for reliable decision-making.\n\n![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/b820a52f-ff66-4d60-a65f-6cfc0cc791a6)\n\n### Sports Betting Fund (250% Returns)\n\nPreviously, I had a sports betting fund that earned 250%+ returns each NBA and MLB season for the last few years. I decided to license my algorithms out to a large-cap betting group that is able to move a lot more investments without being limited in the US.\n\n### I’m Not a lawyer, but…\n\nJust about everyone in my family is a lawyer (parents, brothers, uncles, cousins). I’ve spent my whole life listening to the marketing and operations of boutique firms.\n\nMy expertise in machine learning + boutique firms made this a super clear direction to go down. **I might not be a lawyer, but I am the engineer in the family who can help them be more efficient.**\n\n# **Hidden Hand’s Ask**\n\n1. If you work at a boutique firm and know the struggles of client intake, [book a demo with us](https://calendly.com/bennett-cohen/hidden-hand-demo)! We want to help save 30% on intake time.\n2. If you know somebody at a boutique firm, share us with them! We want to solve their problems.\n\nBook a demo [HERE](https://calendly.com/bennett-cohen/hidden-hand-demo) or request one at <https://www.hiddenhand.io/demo>!\n\n\\-BC ✨ 🫴",
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        "title": "UHP: Unified Harness Protocol by HarnessRouter",
        "tagline": "An open standard for running complete agent harnesses as your product's backend, now officially adopted by Qoder by Alibaba",
        "body": "**TL;DR:** We're launching the Unified Harness Protocol (UHP), an open standard (Apache 2.0) for running complete agent harnesses as your agent product's backend. Qoder by Alibaba now officially supports UHP. Integrate once, and Qoder, Codex, Claude Code, Hermes and 20+ agent harnesses become your product's backend through one contract. No harness engineering required.\n\n\\*\\*Stop building the agent backend. Focus on your product.\\*\\*\\\nYou don't need LangChain, an agent SDK, or a managed agent platform to build your agent's backend. Instead of building your own agent loop, tool execution, sandbox, orchestration, and tracing, plug in a pre-built, configurable harness like Qoder, Codex or Claude Code as your backend. Every task runs in an isolated sandbox, is orchestrated across harnesses, and is fully traced. Tailor your tools, plugins and skills, and focus on your product.\n\n![uploaded image](/media/?type=post&id=122233&key=user_uploads/14642/185decdc-9d10-47be-965c-5f24336a39bf)\n\n**The problem:** A harness is a complete agent runtime that plans, calls tools, edits files and reports back. Every harness already knows how to do the work. What none of them agree on is how a product should drive one: how to start a task, follow its progress, continue it, cancel it, get the files it produced, and understand why it failed.\n\nThat's an N×M problem: N products times M harnesses, each pair wired up by hand. So most teams end up building their own harness instead, and spend months on harness engineering before shipping a single feature.\n\n**What UHP is**\n\n* An HTTP contract. You send a task and get back a running agent, results and files. The unit is a job, not a completion.\n* Shaped like the OpenAI Responses API, so existing SDKs, streaming parsers and UI code work with no changes.\n* Versioned spec, OpenAPI schema, and a conformance suite with 95 runnable checks that defines what \"conformant\" means.\n* No hosted service required: a conformant server can run entirely on your own machine with your own keys.\n\n**Qoder by Alibaba adopts UHP:** Qoder now officially supports UHP, so you can use it as a pre-built, configurable agent harness for your product. Instead of building your own agent loop, tool execution, sandbox, orchestration, and tracing, you get a complete backend: Qoder reads files, runs commands, and delivers finished work, from generated files to completed actions. Every task runs in an isolated sandbox, is orchestrated through HarnessRouter, and is fully traced. Build your frontend and let Qoder handle your users' tasks.\n\n![uploaded image](/media/?type=post&id=122233&key=user_uploads/14642/7be585c9-451d-4618-bd89-1bbf42951eb2)\n\n\n**Run it:** HarnessRouter is the open-source UHP server, and HarnessRouter Cloud runs it for you. You build the frontend; the harness is your backend.\n\n**Links**\n\n* Spec: [unifiedharnessprotocol.org](http://unifiedharnessprotocol.org)\n* Repo: [github.com/HarnessRouter/harnessrouter](http://github.com/HarnessRouter/harnessrouter)\n* Cloud: [harnessrouter.ai](http://harnessrouter.ai)\n\n**Our ask:** If you build agent harnesses, implement UHP and run the conformance suite. If you're building an agent product, skip the harness engineering: use Qoder as your backend through HarnessRouter and tell us which harness you want next.",
        "url": "https://www.ycombinator.com/launches/VnV-uhp-unified-harness-protocol-by-harnessrouter",
        "votes": 4,
        "created_at": "2026-10-14T22:11:14.980Z"
      },
      {
        "id": 111172,
        "title": "HarnessRouter: Open-Sourcing the World’s First Unified Interface for Agent Harnesses and the Unified Harness Protocol",
        "tagline": "Plug Codex, Claude Code, and Hermes into your backend on your own infrastructure. Introducing the Unified Harness Protocol (UHP), an open standard for connecting applications to different agent harnesses.",
        "body": "Hey everyone 👋 Three weeks ago, we[ launched HarnessRouter here on YC](https://www.ycombinator.com/launches/RpL-harnessrouter-bring-the-world-s-best-ai-agents-into-your-app-with-one-api) with one promise:\n\nBring the world’s best AI agents into your app, with one API.\n\nToday, we’re opening the layer underneath that promise.\n\nWe’re releasing HarnessRouter Community Edition and the Unified Harness Protocol (UHP). You can now run Codex, Claude Code, and Hermes as your product’s backend on infrastructure you control, using the same API contract as HarnessRouter Cloud.\n\n**TL;DR：**\n\nHarnessRouter is the world’s first unified interface for agent harnesses.\n\nYour product sends a task through one agent API. HarnessRouter runs the supported harness you choose and returns completed work, including files, artifacts, progress, and results.\n\nSessions, streaming, cancellation, and failure handling follow the same contract across Codex, Claude Code, and Hermes. You can add or switch a supported harness without rebuilding your product integration.\n\n🎥[ Watch the launch video](https://www.youtube.com/watch?v=iqrfCBrb6zY)\n\n### **Why agent harnesses aren't infrastructure yet**\n\nAn agent harness is the runtime layer around a model. It executes tasks, uses tools, manages sessions and files, streams progress, and returns completed work.\n\nHistorically, product teams built this layer themselves: task execution, session management, streaming, file and artifact handling, and error recovery, then maintained everything as models and tools evolved.\n\nNow frontier labs and open-source communities are building increasingly capable harnesses. Codex, Claude Code, Hermes, and DeepSeek Harness are examples. But they're still seen as coding tools rather than reusable infrastructure, so teams keep rebuilding this layer in-house. Just as product teams don't build their own databases, they shouldn't have to build their own harness layer either.\n\nEven teams that do adopt an existing harness hit the next obstacle: every harness works differently, so each new product-harness pair needs its own integration. We call this the N×M harness problem. In practice, it becomes harness lock-in: teams stick with the first harness they integrated, even when better or cheaper options exist.\n\nWe asked a simple question: what if agent harnesses became plug-and-play infrastructure that any product can build on?\n\nPlug-and-play means you integrate once, run any supported harness, and switch anytime a better or cheaper one ships.\n\nThat is what HarnessRouter makes possible.\n\n### **What we’re open-sourcing**\n\nWe’re releasing two core components under the Apache License 2.0:\n\n* **Unified Harness Protocol (UHP):** UHP is an open standard that gives different agent harnesses a shared execution contract. This release includes a versioned specification, schemas, and a conformance suite covering harness configuration, task execution, progress, sessions, files, cancellation, errors, and results.\n* **HarnessRouter Community Edition:** The self-hosted implementation of UHP. Gateway, Runner, and Console ship in a single Docker container. It runs Codex, Claude Code, Hermes, and more through one API and passes the full UHP conformance suite.\n\n![uploaded image](/media/?type=post&id=111172&key=user_uploads/14642/2bea0a11-8aba-49c5-9a85-112001854d96)\n\nYour model-provider credentials, application state, and files remain under your control. Model calls still go to the providers you configure.\n\nMCP connects agents to tools. UHP covers a different boundary: how an application drives a complete agent harness and receives its full execution lifecycle.\n\n### **Start self-hosted. Scale with Cloud when you’re ready.**\n\nHarnessRouter Community Edition and HarnessRouter Cloud implement the same UHP contract, so one integration works for both. Start self-hosted on infrastructure you control, or scale into Cloud when you're ready.\n\nHarnessRouter Cloud provides agent harness as a service (HaaS): fully managed harnesses with serverless execution in isolated sandboxes, so teams can scale concurrent runs without operating sandbox capacity themselves.\n\n### **Agent harnesses can do more than write code: runnable examples**\n\nWe also released a **Starter Kit** with runnable applications that show an end-to-end Community Edition integration.\n\nOne example puts a harness behind an Excel column so each row can trigger agent work. Other examples cover presentations, dashboards, and video generation.\n\n![uploaded image](/media/?type=post&id=111172&key=user_uploads/14642/914297fb-2588-4d8a-9a3b-37d39d82bae7)\n\nAgent harnesses can do much more than write code. We want the Starter Kit to show what becomes possible when you put them inside products.\n\n![uploaded image](/media/?type=post&id=111172&key=user_uploads/14642/f4cff64a-7539-41b3-804e-fa5ee53d77bd)\n\nStarter Kit components are available under their applicable licenses.\n\n### **Choose harnesses in production with evidence**\n\nWe benchmarked eight Harness × Model configurations on the same task and input. Cost varied by 475× and latency by 3.2×. Even with the model fixed, changing the harness moved cost by 1.5–2.1× and latency by up to 1.95×.\n\nHarness selection is a task-level production decision, not a one-time choice. HarnessRouter helps teams compare configurations on their own workloads. This was one controlled test, not a universal ranking; we published the methodology, results, and limitations.\n\n### **What teams are already building**\n\nTeams are using HarnessRouter in very different settings:\n\n* 🏥 Stanford Medicine is connecting its operational data through a shared agent layer, an “academic brain” for the organization.\n* ✅ Readily.ai encodes domain expertise into agent skills and can move a new agent from problem and plan to production within 24 hours.\n* 🎬 Spira.ai drives its generation pipeline through HarnessRouter.\n* 🪄 hibo.ai uses HarnessRouter to execute and evaluate agent skills.\n\n### **Why we built it**\n\nWe’re Kuanze Ma and Richard Song, the co-founders of HarnessRouter.\n\nKuanze is a four-time founder focused on human-AI systems. Richard has spent more than a decade building large-scale systems, including at TigerGraph and Meta.\n\nWe both worked on agent systems before HarnessRouter. We kept seeing product teams rebuild the same application-to-harness layer, so we decided to turn that layer into shared infrastructure.\n\n### **What we want from you**\n\n* If you build an agent harness or already maintain your own runtime, read UHP and tell us where it is wrong. Which parts should be standardized, and which should remain harness-specific? That comparison is worth more to us than a signup.\n* Try the Community Edition Quickstart on a clean machine. Tell us where it breaks or where the execution lifecycle is incomplete.\n* If your compliance requirements prevent you from using a hosted agent runtime, try Community Edition on infrastructure you control.\n* If you want to contribute, we use a proposal-before-code process. Describe the problem, your proposed change, and its expected impact. You do not need to arrive with a finished implementation.\n* Intros are welcome to teams shipping agent-powered features that do not want to own another backend.\n\n### **Run it yourself**\n\n* [Open-source repository](https://github.com/HarnessRouter/harnessrouter)\n* [Unified Harness Protocol](https://unifiedharnessprotocol.org)\n* [Starter Kit](https://github.com/HarnessRouter/starter-kit)\n* [Benchmark and methodology](https://harnessrouter.ai/benchmarks)\n* [Docs and HarnessRouter Cloud](https://harnessrouter.ai)\n\nReach us at [contact@harnessrouter.ai](mailto:contact@harnessrouter.ai).",
        "url": "https://www.ycombinator.com/launches/Sv6-harnessrouter-open-sourcing-the-world-s-first-unified-interface-for-agent-harnesses-and-the-unified-harness-protocol",
        "votes": 6,
        "created_at": "2026-08-17T22:23:24.250Z"
      },
      {
        "id": 106971,
        "title": "HarnessRouter: Bring the World's Best AI Agents Into Your App, With One API",
        "tagline": "One API that puts Codex, Claude Code, Hermes, and more behind your product, so your users get real output: videos, games, code, documents.",
        "body": "Hey everyone 👋 Today we're introducing HarnessRouter.\n\n**TL;DR:** HarnessRouter lets builders bring Codex, Claude Code, Hermes, and other agents into your products through one API. Each task runs in an isolated sandbox with step-by-step tracing and configurable cost caps. It's designed to scale from consumer apps to large-scale model evaluations, orchestrating thousands of isolated sandbox runs in parallel. Start with our [AGENTS.md](https://harnessrouter.ai/agents.md), drop it into your coding agent, describe want you want to build, add an API key, and ship without rebuilding agent runtime infrastructure.\n\n**Try it now:** [harnessrouter.ai](http://harnessrouter.ai?utm=yc)\n\n<https://www.youtube.com/watch?v=vZXvgYS7_lg>\n\n## **The Problem**\n\nThere's a gap between what AI agents can do and what your product can offer.\n\nAgents like Codex and Claude Code can genuinely finish work now, but they're built for developers, not for your users. Bringing that capability to your users inside your own product means building the infrastructure yourself: isolated execution environments, agent runtime, tool orchestration, file handling, streaming, retries, permissions, cost controls. Every team building an AI feature rebuilds this same stack from scratch, and it takes months. After launch, the upgrades and maintenance never stop.\n\nAs a result, most teams ship a chat interface instead, when what users actually need is finished output.\n\n## **The Solution**\n\nHarnessRouter runs the entire agent stack as a service. Your product sends a task through one API; We run it on the agent you choose and return the result in structured, renderable form: reviewable diffs, generated files, images, video, confirmed tool actions.\n\nTeams are already running production workloads on it:\n\n* 🏥 A top medical research institution is connecting its operational data into a unified agent layer, an \"academic brain\" for the organization.\n* ✅ A leading healthcare compliance company encodes domain expertise into agent skills, saving their clients hundreds of hours of manual work per audit.\n* 🎬 An AI video marketing startup drives its content generation pipeline through HarnessRouter, producing viral-grade video at human quality.\n\nIntegration takes three steps: drop our [AGENTS.md](https://harnessrouter.ai/agent.md) into your coding agent, describe the feature you want and add your API key. Switching agents is a one-line configuration change, and the same setup scales from a single task to thousands of concurrent runs.\n\n## **Who We Are**\n\n**Kuanze Ma, Co-founder**\\\nKuanze is a four-time founder focused on human–AI systems, with experience in systems design, product management, algorithms, recruiting, marketing, and engineering. He holds a BSc in Mathematics, a diploma in Software Engineering, and an MSL from Northwestern University.\n\n**Richard Song, Co-founder**\\\nRichard has over a decade of experience building large-scale systems, including vertical AI agents powered by private data and domain knowledge. Previously, he was a Senior Director at TigerGraph and a Senior Software Engineer at Meta. He holds an MS in Computer Science from Cornell University and a BS in Computer Science.\n\n## **Our Ask**\n\n* **If you're building an AI feature**, start with the free 7-day trial. We'll help you integrate.\n* **If you need to run thousands of agents in parallel**, for model evaluations, batch generation, or large-scale pipelines, that's what the sandbox orchestration layer was built for. Talk to us.\n* **If you've built your own agent infrastructure**, we'd value the comparison. Tell us what we're missing.\n* **Intros welcome** to any team that wants to ship agent-powered features without building the backend.\n\nReach us at [contact@harnessrouter.ai](mailto:contact@harnessrouter.ai)",
        "url": "https://www.ycombinator.com/launches/RpL-harnessrouter-bring-the-world-s-best-ai-agents-into-your-app-with-one-api",
        "votes": 29,
        "created_at": "2026-07-23T13:44:28.619Z"
      },
      {
        "id": 99723,
        "title": "ClawTrace — Make Your OpenClaw Agent Better, Cheaper, and Faster",
        "tagline": "The observability platform for OpenClaw agents: execution traces, cost analysis, and Tracy, your OpenClaw's doctor agent.",
        "body": "## 🚀 TL;DR\n\n[ClawTrace](https://clawtrace.ai?utm=yc) is the observability platform for OpenClaw agents. It captures every trajectory your OpenClaw agent runs — every LLM call, tool use, and sub-agent delegation — and gives you three views to understand it: an execution path, a call graph, and a timeline. When you need answers fast, ask Tracy, your built-in AI analyst, in plain English. Watch our demo [here](https://youtu.be/-moG7vCkawQ?si=ivl7Utv3h7ynv5rb):\n\n—\n\nHello, world! I'm Richard, and today I'm excited to introduce **ClawTrace** — the observability platform for OpenClaw agents.\n\nAI agents are going to production. But right now, when something goes wrong, you're flying blind.\n\n## ❌ The Problem\n\nDeploying an OpenClaw agent is easy. Understanding what it actually did is not.\n\nWhen a run costs $104.70 instead of the usual $1.5, you have no idea why. When an agent fails silently, you don't know which step broke or what input caused it. When a trajectory takes 3 minutes instead of 30 seconds, you can't tell where the time went. You end up reading raw JSON logs, manually counting token estimates, and guessing at execution paths. This doesn't scale.\n\nExisting options make this worse, not better:\n\n* **General distributed tracing tools** (Jaeger, Zipkin, Datadog) weren't built for LLM concepts — they have no understanding of token counts, model costs, prompt/completion pairs, or sub-agent hierarchies.\n* **Framework-specific tools** like LangSmith only work within their own ecosystem. If you're on OpenClaw, you're on your own.\n* **Point solutions** cover one slice of the problem — just logs, just cost tracking, just evals — and leave you to stitch everything together yourself.\n* **Every tool** dumps data into a dashboard and expects you to interpret it. There's no analyst. You still have to do all the thinking.\n\n## ⭐️ Our Solution\n\nWe built ClawTrace to give you complete visibility into every OpenClaw agent run — automatically, with zero code changes to your agent.\n\nOne plugin. Three commands. Every trajectory captured.\n\n```bash\nopenclaw plugins install @epsilla/clawtrace\nopenclaw clawtrace setup\nopenclaw gateway restart\n```\n\nThat's it. From that point on, every agent run streams to ClawTrace automatically.\n\n**With ClawTrace, you get:**\n\n* **Execution Path** — a collapsible tree of every step your agent took: LLM calls, tool executions, sub-agent delegations, with full input and output payloads at every node. Metadata badges show model name, duration, token counts, and estimated cost inline.\n\n  ![uploaded image](/media/?type=post&id=99723&key=user_uploads/14642/d592e3b7-c8d3-4f7c-b71d-a27037551bba)\n\n* **Call Graph** — an interactive force-directed diagram showing the relationships between every agent, model, and tool in a run. Understand the shape of a complex multi-agent workflow at a glance.\n\n  ![uploaded image](/media/?type=post&id=99723&key=user_uploads/14642/e81258a7-05d0-4c5d-be9a-0ef944b72329)\n\n* **Timeline** — a Gantt chart of every span in the trajectory, positioned by start time and sized by duration. Bottlenecks, parallelism, and idle gaps become immediately visible.\n\n  ![uploaded image](/media/?type=post&id=99723&key=user_uploads/14642/bf94f46d-90e6-4ea4-8b1e-2971ad79af85)\n\n* **Tracy, your OpenClaw’s Doctor** — every other observability tool gives you data and expects you to figure it out yourself. Tracy is different. Ask her a question in plain English — _\"where is the bottleneck in this trace?\"_ — and she queries your trajectory graph live, generates a visualization, and delivers specific recommendations: which step to fix, why, and how. Tracy is powered by a Claude managed agent and has real-time Cypher access to your full trajectory graph via PuppyGraph graph lake-house architecture.\n\n  ![uploaded image](/media/?type=post&id=99723&key=user_uploads/14642/7cb3bad9-86b3-4795-b761-75b7a390ce62)\n\n* **Cost Estimation** — per-span cost calculation covering 80+ models across OpenAI, Anthropic, Google, DeepSeek, Mistral, Alibaba Qwen, Zhipu GLM, Moonshot, and more. Cache-aware pricing (fresh input vs. cached input vs. output tokens) for accurate estimates.\n* **Consumption-based billing** — pay for what you use with credits. No seat fees, no per-user pricing. Start with 100 free credits.\n\n## 🔦 The Ask\n\nAI agents are moving from demos to production. ClawTrace is the observability layer that makes that transition safe, debuggable, and cost-efficient.\n\n* 🚀 **Sign up for free** at [clawtrace.ai](http://clawtrace.ai) — 100 credits included, your first trajectory shows up in minutes.\n* ⭐ **Star us on GitHub** — ClawTrace is fully open source under Apache 2.0: [github.com/epsilla-cloud/clawtrace](https://github.com/epsilla-cloud/clawtrace)\n* 💬 **Tell us what you're building** — we'd love to hear about your OpenClaw setup and what observability problems matter most to you. [Schedule a call with me](https://epsilla-ai.sg.larksuite.com/scheduler/dc6a62e558c3a1cc).",
        "url": "https://www.ycombinator.com/launches/PwR-clawtrace-make-your-openclaw-agent-better-cheaper-and-faster",
        "votes": 12,
        "created_at": "2026-04-14T15:34:37.032Z"
      },
      {
        "id": 84075,
        "title": "Epsilla — Ship production-ready AI agents on day 1",
        "tagline": "All-in-one platform to create AI agents with your private data and knowledge.",
        "body": "### **🚀 TL;DR**\n\n[Epsilla](https://www.epsilla.com/) is an all-in-one platform for building AI agents powered by your private data and knowledge. Easy to use for domain professionals, deeply customizable for AI experts, and fully equipped for enterprise customers with security, scalability, and integration. Watch our demo [here:](https://www.youtube.com/watch?v=ZhBPsxr2AL0)\n\n---\n\n—\n\nHello, world! We are Richard, Eric, and Ricki. Today, we are super excited to introduce Epsilla, the all-in-one platform for creating AI agents with your private data and knowledge.\n\n### **❌ The Problem**\n\nBuilding a prototype AI agent is easy, but creating production-level AI agents with private knowledge can be overwhelming. It involves managing LLMs, prompt engineering, tool usage, memory management, vector databases, RAG (Retrieval-Augmented Generation), evaluation, and more.\n\nExisting AI agent-building products in the market are:\n\n* Either developer-facing tools that require a significant amount of engineering work;\n* Or lacking depth in customization and flexibility, limiting the final agent's performance and quality;\n* Or just focus on only one small aspect of the problem—such as prompt engineering, workflow, retrieval, evaluation, or hosting—leaving builders to handle the heavy lifting of integrating these components into a cohesive system.\n\n### **⭐️ Our Solution**\n\n![uploaded image](/media/?type=post&id=84075&key=user_uploads/14642/83e9fd99-cf4a-473a-b1ac-57f4935ff4dc)\n\nWe have reimagined the AI agent platform from the ground up and developed an all-in-one solution for creating, iterating, and operating AI agents—without writing a single line of code.\n\nWith Epsilla, you can:\n\n* Build high-quality knowledge bases from diverse data sources, including uploaded files, websites, Google Drive, Notion, cloud storage, and more.\n* Deeply customize AI agents with options for appearance, prompt tuning, workflow customization, and advanced, modular, agentic, and graph-based RAG.\n* Evaluate agent performance, monitor user engagement, and manage user feedback.\n* In addition to providing an out-of-the-box ChatGPT or Perplexity-like UI, we also allow developers to use the agents as their application backend via REST API.\n* Epsilla seamlessly integrates with a growing set of Large Language Model providers, allowing you to choose the best model at any stage of the knowledge base and agent workflow to balance quality, latency, and cost.\n\n### **🔦 The Ask**\n\nThousands of GenAI builders, along with dozens of enterprises and SMBs across various industries, are already building their AI agents on Epsilla. We hope to see you join them soon!\n\n* Sign up for FREE at <https://epsilla.com> to build your first AI agent within 10 minutes!\n* Let’s talk about your use case! Schedule a meeting with us [here](https://epsilla-ai.larksuite.com/scheduler/4aca8159d1224454).\n* Join our community with us on [Discord](https://discord.gg/cDaY2CxZc5) and share what you built on Epsilla!",
        "url": "https://www.ycombinator.com/launches/Ls3-epsilla-ship-production-ready-ai-agents-on-day-1",
        "votes": 35,
        "created_at": "2024-09-17T16:47:45.508Z"
      },
      {
        "id": 73587,
        "title": "Epsilla - A 10x faster open source vector database",
        "tagline": "The information retrieval foundation for the next generation of AI applications",
        "body": "### **🚀 TL;DR**\n\nEpsilla is an open-source vector database. Epsilla offers low-latency searches across billions of vectors, consumption-based database-as-a-service, comprehensive APIs, and multi-language bindings. Our team has 7 years of experience building the high-performance graph database, and our advanced ANN index leverages parallel graph traversal technology, making the vector search 10x faster.\n\n![uploaded image](/media/?type=post&id=73587&key=user_uploads/14642/801e5229-0b56-4eb5-a3fb-e5ff7d2686ec)\n\n### **❌ The Problem**\n\nWith the surge of LLMs and the evolution of AI agents for task planning and decomposition for complex tasks, a **high-performance vector database** for information retrieval and enhancing context in prompts is a **MUST**! Most vector databases utilize HNSW, and its performance significantly degrades when aiming for high search precision.\n\n### **⭐️ Our Solution**\n\nWe’ve reimagined vector search from the ground up for scalability, performance, and cost-effectiveness. We implemented the state-of-art ANN index algorithm from the academia that leverages intra-query parallel graph traversal, which outperforms HNSW by **5x** on high precision query latency on medium size (1M) vector space and outperforms HNSW by **50 times** on large-scale vector search.\n\n![uploaded image](/media/?type=post&id=73587&key=user_uploads/14642/7f276b64-0500-4286-b589-e23d339abe6d)\n\n### **🔦 The Ask**\n\n* Try us at <https://epsilla-inc.gitbook.io/epsilladb/quick-start>\n* Follow our repo at <https://github.com/epsilla-cloud/vectordb>\n* Connect with us on [Discord](https://discord.gg/cDaY2CxZc5)\n* Let’s talk at <https://epsilla-ai.larksuite.com/scheduler/a80f6a3202d4c328>!",
        "url": "https://www.ycombinator.com/launches/J8t-epsilla-a-10x-faster-open-source-vector-database",
        "votes": 41,
        "created_at": "2023-07-31T01:45:04.471Z"
      }
    ]
  },
  {
    "id": 28902,
    "name": "Sidenote",
    "slug": "sidenote",
    "former_names": [
      "Agent",
      "Ube"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/949b8814325dbb3fbd3160ffb4215cc58351724a.png",
    "website": "https://www.sidenote.ai",
    "all_locations": "San Francisco, CA, USA; Stanford, CA, USA",
    "long_description": "Sidenote is a Chrome extension that turns meeting notes into drafted emails, calendar invites, tickets, and reminders.",
    "one_liner": "Meeting follow-up, automated",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1689906842,
    "tags": [
      "Productivity",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sidenote",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sidenote.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/96152063",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/949b8814325dbb3fbd3160ffb4215cc58351724a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Jason Lin",
        "title": "Founder",
        "founder_bio": "Computer Science @ Stanford (Human-Computer Interaction). Led team to build the US's first vaccination tracker.",
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        "linkedin_url": "https://linkedin.com/in/jason-lin-0463ab110",
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        "full_name": "Scott Hickmann",
        "title": "Founder",
        "founder_bio": "I'm a technical founder at the edge of hardware and AI, focused on building a future where creating physical products feels as immediate as creating software.\n\nI studied electrical engineering and computer science at Stanford, where I built the viral motorized couch, worked on Robosub, and developed Chirpy Cardinal at Stanford AI Lab.",
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        "linkedin_url": "https://linkedin.com/in/scott-hickmann",
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        "user_id": 1381763,
        "full_name": "Schwinn Saereesitthipitak",
        "title": "Founder",
        "founder_bio": "Deep Learning Research @ Stanford AI Laboratory and NVIDIA. Ex-Cryptography Researcher @ Stanford EE.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/szawinis",
        "x_url": "https://twitter.com/szawinis",
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    "launches": [
      {
        "id": 73281,
        "title": "✍️ Sidenote: Meeting follow-up, automated",
        "tagline": "Sidenote is a Chrome extension that turns meeting notes into drafted emails, calendar invites, tickets, and reminders.",
        "body": "📝 **TLDR**: After a meeting, Sidenote’s AI copilot analyzes your notes, finishes your tedious action items, and keeps track of the rest, so that you never miss a todo. [**Try here**](http://sidenote.ai/chrome)!\n\n## ❌ **The Problem**\n\nEver forget to follow up on something you promised during a meeting? We can do it automatically for you, freeing up your mind and time.\n\n## ✨ **Our Solution**\n\n![uploaded image](/media/?type=post&id=73281&key=user_uploads/969556/d6f9f0cb-d24b-4f5b-973e-f08301f42da4)\n\n**Sidenote** takes the burden of remembering todos off your shoulders by analyzing your notes, detecting your action items, and completing them. Currently, we can:\n\n* 📅 Create a follow-up meeting for next week\n* 🗒️ Assign a task to design team in project management software\n* ✉️ Draft an email to the project team with the new deadlines\n* 🔔 Add a todo to finish my proposal\n\nWe support **Notion**, **Google Docs**, **Google Calendar**, **Linear**, and more.\n\n## 🚀 **What’s Next?**\n\nStarting with meetings, we envision Sidenote becoming your work copilot, automating all repetitive parts of your personal work. This means integrating with more platforms and allowing users to create custom automated actions for unique workflows. Request a specific automation [here](mailto:contact@sidenote.ai).\n\n## 💜 **The Team**\n\n![uploaded image](/media/?type=post&id=73281&key=user_uploads/969556/40d687f6-b94f-44ed-bdc3-e2936dff1340)\n\nWe're [**Jason**,](https://www.linkedin.com/in/jason-chen-lin/) [**Scott**](https://www.linkedin.com/in/scott-hickmann), and [**Schwinn**](https://www.linkedin.com/in/szawinis/). We met at our dorm at Stanford and have been hacking together ever since!\n\n🙏 **We Want Your Input**\n\n* Overwhelmed by meetings and todos (especially in CX)? Let's chat on [cal.com/jasonlin](http://cal.com/jasonlin)!\n* Take Sidenote for a spin at [**sidenote.ai/chrome**](http://sidenote.ai/chrome).",
        "url": "https://www.ycombinator.com/launches/J3x-sidenote-meeting-follow-up-automated",
        "votes": 70,
        "created_at": "2023-07-21T02:14:12.033Z"
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    "one_liner": "Open-source Retool for enterprise",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1687469921,
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      "Open Source",
      "Web Development"
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    "nonprofit": false,
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/refine",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/refine.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/81566498/",
    "x_url": "https://twitter.com/refine_dev",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/refine-0e26",
    "github_url": "https://github.com/refinedev/",
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        "user_id": 1013886,
        "full_name": "Civan Ozseyhan",
        "title": "Founder",
        "founder_bio": "Serial entrepreneur & Open-source enthusiast | 15+ years experience in building enterprise software | Co-founder & CEO @ refine",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/civan-%C3%B6zseyhan-1ab48814",
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        "user_id": 1551538,
        "full_name": "Omer Aplak",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO @ refine. I started my professional software career in high school and dropped out of university in my first year. Developing open-source, building communities, and helping other developers is a passion of mine",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/omer-aplak-14b87099/",
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      {
        "user_id": 1018276,
        "full_name": "Eren Erkalkan",
        "title": "Founder",
        "founder_bio": "Previous: Worked as Head of Product, founder and CEO in the fields of e-commerce and online dating for almost 15 years. Now: Accompanying the journey of refine, which started as an open-source project in 2022. A React-based framework for the rapid development of web applications.",
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      {
        "id": 72562,
        "title": "Refine - Open-source platform for rapidly building enterprise web applications",
        "tagline": "Dev-friendly alternative to low-code/no-code. Familiar stack, 100% control over project!",
        "body": "**Refine** is an **open-source**, **headless** React framework for developers building enterprise web applications. It eliminates many repetitive tasks such as\n\n➡️ CRUD operations ➡️ State management ➡️ Routing ➡️ Authentication ➡️ Access Control & ➡️ i18n\n\nand saves days of development time.\n\nAs a developer-focused alternative to existing _low-code/no-code_ enterprise tools, **Refine** allows developers to **work with the stack they are already familiar** **with** and have **100% control over their projects.**\n\nFor a quick start, you can visit\n\n* [👉 https://refine.dev](https://refine.dev) - Docs, tutorials and 100+ sample projects\n* [👉](https://refine.dev) <https://github.com/refinedev/refine> - **12K** ⭐️\n\n### **Solution**\n\nThanks to its unique “**Headless UI**” approach, Refine works with any custom design. It has ready-made integrations with the 4 most popular UI frameworks: **Ant Design**, **Material UI**, **Chakra UI** and **Mantine**. Refine is totally backend agnostic and can connect to **15+ backend services** out-of-the-box, incl. **custom REST & GraphQL API’s.**\n\n![uploaded image](/media/?type=post&id=72562&key=user_uploads/1013886/0fe3bd00-f162-4c50-9f98-4988ad3e2779)\n\nYou can give it a try on [refine.new](http://refine.new) to see how easily you can create tailor-made projects in seconds, by combining your preferred tools and technologies.\n\n### **The Framework**\n\nInstead of being a limited set of pre-styled components, **Refine core** is a lean collection of **helper hooks**, **components**, and **providers**. They are all decoupled from UI components and business logic, so that they **never keep you from customizing your UI or coding your own flow.**\n\n### **Community**\n\n**Refine** is backed by a robust community that showcases the following metrics:\n\n⭐️ 17K GitHub stars\\\n👩‍💻 150+ Contributors\\\n💻 5,000+ Commits\\\n💬 3,000 Discord members\n\n### **Use Cases**\n\nSo far, **thousands** of great projects have been built by **15,000+ monthly active Refine developers**. Use cases include but are not limited to\n\n* Admin Panels\n* Forms\n* Dashboards\n* Storefronts\n* Internal tools\n* B2B Solutions\n* SaaS Interfaces\n\n### **What’s Next?**\n\nIn addition to our endless contributions to the open-core framework, we are also developing cloud-based products to make Refine a comprehensive platform for developers to build enterprise-grade web applications.",
        "url": "https://www.ycombinator.com/launches/IsM-refine-open-source-platform-for-rapidly-building-enterprise-web-applications",
        "votes": 100,
        "created_at": "2023-06-27T04:37:31.127Z"
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    "id": 28911,
    "name": "CandorIQ",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "CandorIQ is software to manage Headcount and Compensation planning. Employees are +70% of all OPEX and yet still managed in sheets & email. We manage all people spend in 1 platform, integrated into your Finance & HR stack.\r\n\r\nProduct capabilities include:\r\n- Headcount & backfill planning\r\n- Headcount budget scenarios across departments\r\n- Merit cycle planning\r\n- Analytics including employee churn, hiring win/loss, cash burn",
    "one_liner": "Headcount & Compensation Management",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1687966048,
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    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
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    "app_video_public": false,
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        "answer": "We each individually faced the problem of financial planning for orgs whether it as headcount spend, approvals, compensation decisions. We built custom solutions at Checkr, Blend and Slync. With our experience in HR tech, and thus we also knew the ecosystem. No solution completely solved the problem so based on our domain expertise and experience with the pain we set out to build CandorIQ"
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    "url": "https://www.ycombinator.com/companies/candoriq",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/candoriq.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1352654,
        "full_name": "Haris Ikram",
        "title": "Founder",
        "founder_bio": "Founder & CEO at CandorIQ. Former Head of Product at Checkr (YC) & Salesforce.\nMBA at University of Chicago, BSc of Computer Engineering at KFUPM.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/harisikram",
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      {
        "user_id": 1356139,
        "full_name": "Sutthipong Thavisomboon",
        "title": "Founder",
        "founder_bio": "Founder & CTO at CandorIQ. Former Chief Architect at Series B Startup & Principal Engineer at Salesforce Einstein (Lead AI). MS Computer Science at Stanford University.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sutthipong-thavisomboon-4592b62",
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      {
        "id": 72794,
        "title": "CandorIQ - Headcount & compensation planning",
        "tagline": "Manage all people spend in 1 platform, integrated with payroll & HR stack",
        "body": "**TLDR;** CandorIQ helps manage headcount spend & employee compensation (including providing benchmarking data). We connect to your HR / Finance stack and provide insights, automate workflows, and allow collaboration across Finance, HR, and Management in 1 single platform.\n\nWe provide white-glove onboarding, and go live within a week.\n\n**We’re offering 50% off for 1 year for (1) software, (2) comp data & (3) FP&A/Comp Advisory.**\n\n### **❌ The Problem**\n\nPeople are the most important asset for companies and are **70-80% of the spend**. Employee turnover is **24% in 2023.** It is hard to optimize people spend balancing both, because:\n\n* Various data required from budget info to compensation benchmarking. Fragmented across spreadsheets, payroll, Captabl, slack & FP&A tools\n* All decisions require collaboration across multiple personas and departments including HR, Finance, Managers and Execs\n* Lot’s if repetitive, error prone, manual work. Companies on average spend **10 hours every month updating spend**, **1 month twice a year running merit cycles**, **4 hours generating every candidate offer**\n\n### **⚡ Our Solution**\n\nThe CandorIQ is the people spend management platform for HR, Finance & Managers to:\n\n1. **Control & Manage People Spend**\n   * Headcount planning and budget management\n   * Headcount, backfill, riff approval workflows\n2. **Retain & Reward top Talent**\n   * Compensation Design & Merit cycles\n   * Employee & Candidate Total Comp Portal\n3. **Unify Systems & Automate Work**\n   * Integrated into all Payroll and HR systems\n   * Analytics, reporting, automation of merit letters, candidate offers\n\nHere is a video of the product in production today: [video link](https://www.loom.com/share/1f9f7d1de326472eaad2f40a1d672ee7?sid=0130223a-55ca-4501-b181-e9b4869766fe)\n\nSee screenshot of select parts of the product:\n\nHeadcount Planning\n\n![uploaded image](/media/?type=post&id=72794&key=user_uploads/1352654/1ea210da-3539-4e2e-acda-772c40ea2bf7)\n\nEmployee Analytics\n\n![uploaded image](/media/?type=post&id=72794&key=user_uploads/1352654/b186329e-a528-4f76-86b8-5aa08377b27f)\n\nEmployee Total Compensation\n\n![uploaded image](/media/?type=post&id=72794&key=user_uploads/1352654/b27b0f4a-91a5-44c7-a08e-146b69ac6692)\n\nIn addition to the software, we also provide a global compensation data set and advisory services for FP&A planning & compensation management.\n\n### **Backstory**\n\nAs former leaders at companies like Checkr (YC S’14) and serial founders, we faced the challenge of understanding budget, pay of our existing teams so that we could optimally hire, reward, retain people. Every decision required spreadsheets, slack, email and a lot of back and forth with HR, Finance and management. This is a problem that plagued us across our experiences from Seed round to IPO. We wanted to flip the script and build a solution that is proactive, continuously updating and automated most of the work for us and other stakeholders.\n\n### **Asks**\n\n* Want to see a demo? <https://calendly.com/d/2nt-btw-syw/candoriq-product-demo>\n* Have questions or curious to learn more: [founders@candoriq.com](mailto:founders@candoriq.com)\n\n  ![](https://bookface.ycombinator.com/photos/5661.jpeg?height=800&width=800)\n\n",
        "url": "https://www.ycombinator.com/launches/Iw6-candoriq-headcount-compensation-planning",
        "votes": 27,
        "created_at": "2023-07-05T22:10:01.438Z"
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    "id": 28920,
    "name": "Unhaze",
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    "website": "https://unhaze.ai",
    "all_locations": "Copenhagen, Denmark",
    "long_description": "Unhaze is a revenue optimization tool for mid-market B2B teams.\r\n\r\nUnhaze finds the leads that sales teams are most likely to close right now. We do this by analyzing previous deals and continuously monitoring for similar traits among all our collected company data.\r\n\r\nBy focusing on the right leads (at the right time!), we can almost double win rates.",
    "one_liner": "The right leads at the right time for B2B sales",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1689002292,
    "tags": [
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      "Sales",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
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    "regions": [
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      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/unhaze",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/unhaze.json",
    "year_founded": 2023,
    "city": "Copenhagen",
    "country": "DK",
    "linkedin_url": "https://www.linkedin.com/company/unhaze/",
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    "github_url": "https://github.com/organizations/unhazeai/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 530674,
        "full_name": "Jacob Lauritzen",
        "title": "Founder",
        "founder_bio": "hello",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/jacob-lauritzen",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42dd368327eb146151212534a9b7f5136ba1cbee.jpg"
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    "launches": [
      {
        "id": 72922,
        "title": "Unhaze 😶‍🌫️ Find the deals you are most likely to close",
        "tagline": "Double your win rate by targeting the accounts you are most likely to convert",
        "body": "# TL;DR\n\nUnhaze mines data across sources like intent, hiring, technologies used, company descriptions, websites etc. and analyzes your historical deals to discover impactful buying signals. It then monitors your market and target accounts to constantly find and prioritize the best opportunities at the right time.\n\n# **The problem**\n\nProspecting and lead qualification is manual, inefficient, and error-prone. Prospect-to-closed conversion rates are as low as 5%-10%.\n\nThe coarse filtering capabilities of current lead databases cause sales teams to sift through long irrelevant leads lists instead of spending their time closing high-opportunity deals. This is money, time, and energy out the window.\n\n### **The solution**\n\nUnhaze integrates directly into Salesforce/Hubspot and tells you which leads to prioritize working on. Gone are the days of manual work and “gut based” decision making. Instead, teams can rely on predictive AI to identify the prospects they are most likely to win.\n\nThe initial focus is on win likelihood optimization, but Unhaze can also make predictions such a recommended products, segmentation, upsell potential or even completely custom models.\n\n# **How it works**\n\n_1\\. Data foundation_\n\nUnhaze continuously mines both structured and unstructured data across a large palette of data points such as firmographics, geo, technographics, funding, news, intent, website content, job posts, organizational changes & new hires and more.\n\n_2\\. Analysis of past deals_\n\nWith guidance from you, Unhaze analyzes all previous deals to discover impactful signals that can predict high-conversion opportunities. Some signals are obvious while others are more subtle or only appear in certain combinations.\n\n![uploaded image](/media/?type=post&id=72922&key=user_uploads/530674/4b6c7252-b344-4bb1-845a-dea75a1810fe)\n\n_3\\. Predictive monitoring of market_\n\nUnhaze uses machine learning to continuously monitor your market and predict which accounts are most likely to convert - so you can target the right accounts at the right time.\n\n![uploaded image](/media/?type=post&id=72922&key=user_uploads/530674/16e1646b-f44d-46bc-9d26-5699587da1af)\n\n# **Does it work?**\n\nBy focusing on the right accounts and not wasting time on unlikely leads, our pilot customers can more than double win rates while markedly decreasing time spent on prospecting.\n\n# **The ask**\n\n* Follow [Unhaze on Linkedin](https://www.linkedin.com/company/unhaze/)\n* Reach out [here](https://unhaze.ai/?utm_source=yc&utm_medium=social&utm_campaign=launch_yc) if you’re doing sales or revops in a B2B company with +50 employees\n* Connect me with RevOps, SalesOps, or sales leaders in your network",
        "url": "https://www.ycombinator.com/launches/IyA-unhaze-find-the-deals-you-are-most-likely-to-close",
        "votes": 17,
        "created_at": "2023-07-11T16:24:34.585Z"
      }
    ]
  },
  {
    "id": 28921,
    "name": "Surface Labs",
    "slug": "surface-labs",
    "former_names": [
      "Surface"
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    "website": "https://withsurface.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Surface Labs helps B2B companies capture, qualify, and convert inbound leads through intelligent contact forms. We replace tools like HubSpot Forms, Zapier, and Chili Piper with a single platform that embeds on any site with one line of code.\r\n\r\nOur AI agents handle lead capture, enrichment, routing, follow-up, and CRO testing — automating what used to require full marketing ops teams. Customers see a 30% lift in conversions in under 2 weeks, and our partial response capture feature collects 50% more emails from form drop-offs.",
    "one_liner": "Building the AI-powered marketing ops platform that turns website…",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1693007377,
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      "Conversational AI"
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    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Arjun and I met as freshman at UC Berkeley when we were assigned to be lab partners for our introductory electrical engineering class. We quickly became friends/ project partners/ roommates over the next several years. I always knew I would start a company someday, but didn’t know what problem to solve. After getting into YC with Arjun and going through a couple pivots, we finally decided to work on something we had first-hand experience with, and that’s what has led to our current intelligent forms idea."
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    "url": "https://www.ycombinator.com/companies/surface-labs",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/surface-labs",
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    "cb_url": "https://www.crunchbase.com/organization/surface-labs-cb05",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1179226,
        "full_name": "Saharsh Agrawal",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Surface Labs. \n\nBuilding AI Marketing Agents for B2B.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/saharshagrawal",
        "x_url": "https://x.com/saharsh_wal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f91894e8aaa56eb4663bd97e2f17acf32c4fa19.jpg"
      },
      {
        "user_id": 1424271,
        "full_name": "Arjun Sahai",
        "title": "Founder/CTO",
        "founder_bio": "Arjun is a UC Berkeley EECS alum. \n\nHe joined Snowflake's first growth team where he deployed and optimized signup.snowflake.com. \n\nHe boosted conversion rates for sign ups by 70% through form and funnel optimization. \n\nThis inspired the founding of Surface Labs!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arjun-sahai",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29a24d3fa0cd65d7c35c2bffe05e956c0af8f729.jpg"
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    "jobs": [
      {
        "id": 93375,
        "title": "AI GTM Engineer Intern",
        "url": "https://www.ycombinator.com/companies/surface-labs/jobs/k6SbAbd-ai-gtm-engineer-intern",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$10K - $20K / monthly",
        "equity_range": "0.01% - 1.00%",
        "experience": null,
        "visa": "US citizen/visa only",
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        "title": "Chief of Staff",
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    "news": [],
    "launches": [
      {
        "id": 93874,
        "title": "Surface Labs — AI Workforce for Marketing Operations",
        "tagline": "Team of AI agents that boosts lead conversions by 30% by taking over marketing ops (ads, routing, follow-ups, etc)",
        "body": "For too long, marketers have been stuck fixing ops instead of building campaigns. [**Surface Labs**](https://withsurface.com/) is building the first **AI Workforce for Marketing Ops** — a team of AI Agents that run your inbound workflows, boost conversions, and cut workloads by 80%.\n\nOur AI Agents are already live in production, handling **50k+ leads every month**. \\\n\\\nMeet one of the first: the **Form Agent**.\n\n![uploaded image](/media/?type=post&id=93874&key=user_uploads/1179226/4f068f22-c1da-43c6-a00a-132cea0b6259)\n\n### **🙅‍♂️ Problem**\n\nMarketing teams spend millions on ads, tools, and headcount… but still lose **30–50% of inbound leads** to spam, bad routing, and slow follow-ups.\n\nEveryday reality:\n\n* Endless spreadsheets and duct-taped workflows.\n* Hours wasted fixing ops instead of building campaigns.\n* Pressure from leadership while growth stalls and leads slip away.\n\nMarketers weren’t hired to babysit forms and CRMs. They were hired to **create, inspire, and drive growth**.\n\n### **👌 Solution: The AI Workforce for Marketing Ops**\n\nWe’re building an AI Workforce that handles the repetitive, manual parts of marketing ops so that marketers can focus on strategy and creativity. Here are some of the members of the Workforce:\n\n* **Forms Agent** → builds high-converting funnels that capture every lead.\n* **Follow-Up Agent** → responds instantly, with personalized outreach.\n* **CRM Agent** → routes and updates deals in Salesforce/HubSpot.\n* **Experiments Agent**→ runs CRO tests automatically to boost conversions.\n* **Ads Agent** → optimizes ad spend and performance in real time.\n\n![uploaded image](/media/?type=post&id=93874&key=user_uploads/1179226/d5785765-ad9a-4de4-a619-72393b38ca91)\n\n### **📊 See Results within 2 weeks**\n\n* **Agent-powered** inbound funnels boost conversions by 30%\n* **80%+ spam eliminated;** replaces expensive ad fraud prevention & lead routing tools (e.g. ChiliPiper, LeanData)\n* **Does the work of 3+ ops hires** at a fraction of the salary cost\n\n### **Want to hire our agents (& get free lunch)?**\n\n**👉 Stop letting leads slip away.** Book a demo/ free strategy call with our founders [**here**](https://calendly.com/surfacelabs/15-min-intro-call-with-surface)**.**\n\nWe’ll audit your inbound funnel/ ops and if we can’t build you a form + workflow funnel that beats your current setup, **lunch is on us.**\n\n### **Want to work with us?**\n\n[**_Surface Labs_**](https://withsurface.com/) _is an applied AI lab building the next generation of marketing technology._ _Our core product grew 70% in the last month, with 500k+ website visitor sessions and 50K+ leads captured every month. Surface AI agents are live in production and usage is 📈📈📈._\n\n_Email [**saharsh@withsurface.com**](mailto:saharsh@withsurface.com) with 3 bullet points on why you want to work with us._",
        "url": "https://www.ycombinator.com/launches/OQ6-surface-labs-ai-workforce-for-marketing-operations",
        "votes": 130,
        "created_at": "2025-09-16T18:12:22.299Z"
      },
      {
        "id": 81386,
        "title": "Surface Labs: AI that turns Leads into Customers",
        "tagline": "Boost conversion rates by up to 40% using AI.",
        "body": "**TL;DR** We previously built intelligent forms for businesses to **_boost website conversions by up to 40%_**, but found them still struggling to close sales because they _couldn’t **scale manual human tasks**_ against increased lead volume. _We give every site visitor a dedicated AI agent to convert more leads into customers across the entire funnel._\n\n---\n\n—\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n# **The Problem.**\n\n**Over 40% of ad spend is wasted.** Businesses spend money on ads to drive traffic to websites/ PPC pages, but businesses struggle to convert visitors into leads if the page fails to convey value and collect lead data. This results in **leads leaving to visit competitors' websites** and **wasted ad spend.**\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/f96972a0-9b96-420e-afcb-eb33ed6f4957)\n\nEven if a lead does initially convert on the site, it’s not enough. Businesses still need to\n\n* **filter out unqualified leads/ fake form fills**\n* **decrease speed-to-lead**\n* **repeatedly** **engage the lead**\n\nThis problem is most severe for businesses in **competitive ad spaces** with commoditized offerings (e.g. services, lending, higher education, home services, etc).\n\nAs a result, many businesses end up **buying low-quality leads in bulk** from lead gen services or just **spray-and-pray** cold outbound campaigns.\n\n—\n\n# **Our Solution.**\n\nWe’re building an **_intelligent lead management system_** — a better way to track and engage every lead that clicks on an ad & lands on your website.\n\nWe’ve achieved this by building:\n\n* super customizable, **high-converting** lead forms\n* dedicated AI agents to **qualify and engage every lead** on your website\n* better **ad targeting and personalization** using first-party data collected on your website\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/c72a7f9c-8b56-47ab-8c8d-0eb0e222bb54)\n\nThe platform includes a highly customizable, multi-step form builder, agent configuration UI, and data + analytics dashboards that provide granular details for every lead.\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/c8ca819f-6e77-44b7-ac87-a1629bcacc49)\n\n—\n\n## **The Backstory.**\n\nWe (**Arjun and Saharsh**) are both engineers who met at UC Berkeley 🐻 and have helped growth teams at multiple startups and companies like **Snowflake** ❄️ boost funnel conversion rates.\n\nWe launched our high-converting forms product last September, **booked 300+ customer calls** in just a few days, and have helped hundreds of businesses ranging from **law firms, real-estate** and **high-ticket coaching services** to **B2B SaaS companies** spending millions on ads boost conversion rates on their website.\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/d96a94aa-8abd-4359-9bd8-6a4994841385)\n\nAre you ready to optimize your ad spend and engage every lead using AI?\n\nWe’d love to chat! Reach out at [saharsh@withsurface.com](mailto:hello@plyhealth.com), fill out the contact form on our [website](https://withsurface.com/), or book a demo directly [here](https://calendly.com/surfacelabs/25-min-intro-call-w-surface-labs). We’d also appreciate sharing our launch and following us on [LinkedIn](https://www.linkedin.com/company/96129512)!",
        "url": "https://www.ycombinator.com/launches/LAg-surface-labs-ai-that-turns-leads-into-customers",
        "votes": 62,
        "created_at": "2024-06-08T15:17:11.558Z"
      },
      {
        "id": 74412,
        "title": "🏓 Surface: Intelligent Forms that Boost Conversions",
        "tagline": "We're building a better way to buy products, starting with forms.",
        "body": "👋 Hey everyone - we’re Saharsh and Arjun from [Surface Labs](http://withsurface.com)!\n\n### **🏆 TL;DR**\n\nWe’re building intelligent forms designed to help B2B companies collect richer customer data and convert more site visitors to customers via AI-powered content personalization.\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/feb58565-fcf9-442d-9cd7-9a2b8cfbcd40)\n\n### **🤔 The Problem**\n\n**You’re losing out on the opportunity to collect valuable first-party data from your customers and increase conversions due to suboptimal forms on your landing page.**\n\n* It’s difficult to personalize content on a form using existing solutions, despite this being one of the most effective methods for converting customers\n* Solutions like Typeform don’t fit seamlessly into your product’s design/ styling and can look out of place 🤢\n* HubSpot or custom-built forms can easily lack an optimal UX that drives form conversions 🥱\n\nOptimizing page forms to collect rich user data that your marketing and sales teams can use to drive conversions is important but is an ongoing task that takes resources away from developing your core product.\n\n### **✨ Our Product**\n\nWe’re building intelligent forms designed to help companies collect richer customer data and convert more site visitors to customers through AI-powered content personalization.\\\n\\\nOur forms can be embedded in minutes on your site as a pop-up or even take over the entire page and provide your business with a managed “Contact Sales” page!\\\n\\\nHere are some example of early forms that we’re building:\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/f2cdf1f7-1166-4d67-8ffa-6008adac73c2)\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/14aa7de7-73ea-43cb-986c-79b2bec5499c)\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/6179b0ec-94eb-43d8-b97a-c93f33167b90)\n\nOur platform has helped our customers:\n\n* add targeted messaging to a form to easily enable personalization at scale\n* reduce the burden of data entry for customers to improve form completions by up to 70%\n* manage their entire inbound sales pipeline with our managed “Contact Sales” page experience\n* enrich customer responses with external data sources and ask personalized follow-up questions that allow sales teams to instantly filter, qualify, and book meetings with leads\n\n### **⚙️ Features**\n\nAt their most basic, our forms are customized to match your site’s theme and branding, but here are some additional things our forms can do:\n\n* Intelligent form routing logic\n* AI-Powered A/B testing of questions\n* Automatic lead enrichment and scoring\n* Slack bots that inform you when an important lead has signed up\n* Integrations with your CRM, CDP, analytics, email, and scheduling tools\n\n### 👏 **Our Team**\n\nArjun and I met as freshmen at UC Berkeley 🐻 where we both studied Electrical Engineering and Computer Science (EECS).\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/3f2b4e0b-a5f2-438c-aa96-5b853b512322)\n\n[Arjun](https://www.linkedin.com/in/arjun-sahai/) spent much of his time at Snowflake on the growth team optimizing their self-serve flow, starting with the form on [signup.snowflake.com](http://signup.snowflake.com).\n\n[Saharsh](https://www.linkedin.com/in/saharshagrawal/) received his M.S. in EECS from Berkeley where he studied privacy-preserving systems and has worked at early-stage startups where he built products from 0-to-1.\n\nThey’ve both worked with marketing/ sales/ growth teams to perform experimentation around content personalization, onboarding flows, and form templates to help optimize improve response rates/conversion rates. After directly experiencing how powerful personalized business forms can be, Saharsh and Arjun decided to start Surface.\n\n### **🙏 Asks**\n\nIf you are currently using a custom form/ Typeform/ Hubspot form, have had to disable your Calendly booking screen due to spam bookings, or are struggling to collect rich user data from inbound leads, check us out!\n\nWe’re onboarding a limited number of companies over the next 2 weeks and are custom-building forms for them prior to our self-serve product launch.\\\nBook time to chat with us [here](https://calendly.com/surfacelabs/15-min-intro-call-with-surface?month=2023-09) or reach out at [founders@withsurface.com](https://founders@withsurface.com)!\n\nVisit our website at [withsurface.com](http://withsurface.com) to check out one of our forms!",
        "url": "https://www.ycombinator.com/launches/JMC-surface-intelligent-forms-that-boost-conversions",
        "votes": 68,
        "created_at": "2023-08-25T23:49:16.378Z"
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    "name": "Maven Bio",
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    "website": "https://mavenbio.com",
    "all_locations": "Boston, MA, USA",
    "long_description": "Maven Bio is a live intelligence platform for biopharma teams. It continuously monitors clinical, regulatory, company, and deal developments, identifies what matters to each team's priorities, and delivers signals and updates to keep key documents current. Its monitoring agent can apply edits automatically, with sources attached and the option to roll back changes.\r\n\r\nMaven runs thousands of monitors across company and individual product websites, trade press, health technology assessment bodies, and patient advocacy groups worldwide. Teams use that intelligence to maintain competitive views, asset screens, and recurring briefs, in Maven or through connected AI assistants and custom workflows.",
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    "team_size": 10,
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    "subindustry": "B2B",
    "launched_at": 1689099430,
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    "country": "US",
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    "founders": [
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        "user_id": 1368769,
        "full_name": "Michael Brady",
        "title": "Founder",
        "founder_bio": "Helping BioPharma teams evaluate therapeutic opportunities. Passionate about building AI-native software. Boston native.",
        "is_active": true,
        "linkedin_url": "https:https://www.linkedin.com/in/mbrady4/",
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      {
        "user_id": 1372801,
        "full_name": "Arjun Murthy",
        "title": "Founder",
        "founder_bio": "Proactive Biopharma intelligence. Passionate about helping teams in life sciences navigate complexity with the right information at the right time. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arjunmurthy1",
        "x_url": "https://twitter.com/AMurthy100",
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        "title": "Software Engineer, Full Stack",
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        "title": "Maven Bio - Your AI analyst for BioPharma market intelligence",
        "tagline": "Empowering BioPharma professionals to get more done by pairing AI-powered research with a world-class BioPharma database. ",
        "body": "**TL;DR:** Maven Bio’s AI Analyst can construct a full competitive landscape, research specific drugs or companies, or analyze trial data, all by leveraging our curated content library of over 10 million BioPharma documents. Join hundreds of users from the world's top BioPharma companies, consultancies, and venture capital firms and try our robust free tier at [mavenbio.io](http://mavenbio.io)\n\n**🎯 The Problem:**\n\nMore than 90% of clinical-stage drugs fail - yet while scientific failures get most of the attention, \\~20% of all programs actually fail for business and commercial reasons. \n\nWhy? \n\nToday, therapeutic opportunities are evaluated using a highly manual process with fragmented information along with a heavy dose of consultants, hundreds of slides, and dozens of disparate data sources, which makes it difficult and time-consuming to assess the commercial potential of a drug.\n\n**✨ Our Solution**: \n\nMaven Bio’s AI Analyst for BioPharma Market Intelligence empowers teams to get smart on an opportunity area and understand the competitive landscape faster and more effectively.\n\nUnlike a generative chatbot or traditional database that provides rows of data but takes no action, Maven Bio’s AI Research Analyst **_actually performs analysis for you_**, giving you meaningful insights on critical BioPharma business questions like:\n\n* _What is the competitive landscape, and how differentiated is a given drug compared to current treatments?_\n* _What are the different approaches companies are taking to develop drugs for this disease, and how do they compare?_\n* _How are patients treated today, and what are the gaps in treatment and the level of unmet need?_\n\nIn a field where accuracy is crucial, we leverage our proprietary content library of over 10 million BioPharma documents with a unique combination of both financial and scientific information, including drug and trial data, press releases, SEC filings, earnings transcripts, and much more to provide unrivaled breadth and depth.\n\n<https://youtu.be/eG2awolu3cM>\n\n👋 **Our ask: How you can help** \n\n* Join hundreds of users across top BioPharma companies and try it yourself at [mavenbio.io](http://mavenbio.io) - we have a robust free tier!\n* Connect us with relevant professionals in BioPharma, including: \n  * Consultants focused on the BioPharma space\n  * Business development, corporate development, and new product planning roles at BioPharma companies\n  * Investment professionals (bankers, VCs, etc.) focused on Biotech\n\nIf you want to discuss additional customizations available in our Enterprise plan, or just want to chat, connect with us [here.](https://cal.com/team/maven-bio/intro)\n\n![uploaded image](/media/?type=post&id=85261&key=user_uploads/89898/4d362486-e4bb-4cfb-ac0a-0077cc49171f)\n\n",
        "url": "https://www.ycombinator.com/launches/MBB-maven-bio-your-ai-analyst-for-biopharma-market-intelligence",
        "votes": 18,
        "created_at": "2024-11-04T16:52:42.714Z"
      }
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    "id": 28926,
    "name": "Upstream",
    "slug": "upstream",
    "former_names": [
      "Snik"
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    "website": "https://www.upstream.do/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Your inbox, handled for you. Upstream's agents sort the noise, draft replies in your exact voice, follow up at the right time, and do what you ask - like finding receipts or scheduling meetings - so you can fly through your inbox and have fun doing it.",
    "one_liner": "The inbox that handles itself",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1690426716,
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    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
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      "Europe"
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/upstream.json",
    "year_founded": 2023,
    "city": "Paris",
    "country": "FR",
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        "full_name": "Louis Lecat",
        "title": "Founder",
        "founder_bio": "I'm the founder & CEO @ Upstream. I was one of the early product people @ Asana, driving growth and adoption up to $100M ARR. I went on to lead the entire product team @ Algolia (YC W14) as their Head of Product through series B and C, assembling a team of 20+ talented product builders, while growing ARR 2.5x to $100M+. Also worked @ AgilOne (acquired) and graduated from @ Stanford and @ Ecole des Ponts",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lecatlouis",
        "x_url": "https://twitter.com/louislecat",
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      {
        "user_id": 1093527,
        "full_name": "Jonathan Tiret",
        "title": "Founder",
        "founder_bio": "I am the co-founder & CTO @ Upstream. My love for software started when I was only a teenager: I developed @ Dino Gaia, one of the most popular online French consumer games in the 2000s, registering a million visits every month. I've since built extensive technical hands-on and leadership experience across multiple sectors, including ride-hailing, fintech, and legaltech. I was most recently the VP of Engineering @ Doctrine before it got acquired.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jtiret",
        "x_url": "https://twitter.com/jtiret",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff8959cdf1617e2ed1be6a2303274be6e2602907.jpg"
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    "launches": [
      {
        "id": 103613,
        "title": "Upstream - The first inbox designed for humans and agents",
        "tagline": "Your inbox, handled for you. Agents sort the noise, draft replies in your voice, and follow up automatically.",
        "body": "Hey YC! 👋\n\nWe’re [Louis Lecat](https://www.linkedin.com/in/lecatlouis/) and [Jonathan Tiret](https://www.linkedin.com/in/jtiret/) - co-founders of Upstream.\n\n**TL;DR**: Upstream is an email client that handles your inbox for you. Agents sort the noise, draft in your exact voice, follow up on time, and do what you ask, so you can finally relax and enjoy email again.\n\n<https://youtu.be/bJJ9aCIGmyw> \n\nTry it here: [Sign up with Google](https://www.upstream.do/?utm_source=launch_yc&utm_medium=social&utm_campaign=launch&utm_content=announcement)\n\n# The problem\n\nWe were told AI was going to fix email. Two years in, your inbox looks the same, the drafts sound like ChatGPT, and you stopped clicking on the AI buttons bolted on every product. We wanted an inbox where agents work for you - before you ask - but still let you make the final call.\n\n# What we built\n\nWe rebuilt email from the ground up as a surface agents can read, write, and act on.\n\n**📥 Your inbox is organized**\n\nSpam, cold outreach, and low-priority emails are moved out of the way. The conversations that actually need your attention stay front and center.\n\n![uploaded image](/media/?type=post&id=103613&key=user_uploads/1093527/c1514848-21d2-48c7-b346-743016d125a1)\n\n**✍️ Custom voice prompt**\n\nUpstream learns how you write from your own emails and drafts replies that sound exactly like you, adapting to who you’re talking to.\n\n![uploaded image](/media/?type=post&id=103613&key=user_uploads/1093527/33e44baf-2ff7-4291-87e8-10b9d9beabf8)\n\n**🤖 Built-in agent to do what you ask**\n\nFind receipts, write personalized emails, schedule meetings, update records, or handle whatever task comes up in your inbox.\n\n![uploaded image](/media/?type=post&id=103613&key=user_uploads/1093527/b782c513-24c0-4c02-8be9-37d3ef4f777f)\n\n**⏰ Smart follow-ups**\n\nWhen someone drops the ball, Upstream follows up automatically at the right time so important conversations keep moving.\n\n![uploaded image](/media/?type=post&id=103613&key=user_uploads/1093527/ebd46d18-6369-48c7-91e2-cb8e6f2a3ce9)\n\n# Open and agent-native\n\nEmail is becoming a shared workspace for humans and agents. Upstream is built for both.\n\n**🧠 Uses your company context**\n\nConnect Granola, Notion, Google Drive, and Calendar so agents understand your work before they act.\n\n**🔌 Use it from Claude or Codex**\n\nControl Upstream over MCP from Claude, Codex, or your own agents. Or bring agents directly into Upstream.\n\nFinally, we made every system prompt fully editable, so that you can configure it to work the way you want.\n\n# What users told us\n\nDuring our closed beta, customers told us they felt more in control of their inbox, and that email had become a fun part of their day again. We’ve seen many people replace Superhuman with Upstream’s free plan.\n\n# Our Ask\n\nTry Upstream and let us know what you think. Setup is fully automated and only takes a few minutes - and it’s free!\n\nLink to get started: [upstream.do](http://upstream.do)\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/QxB-upstream-the-first-inbox-designed-for-humans-and-agents",
        "votes": 11,
        "created_at": "2026-06-22T03:48:40.248Z"
      },
      {
        "id": 73531,
        "title": "⚡ Upstream || 📥 An email client designed for team collaboration",
        "tagline": "Delivering efficiency for teams, while letting individuals regain focus.",
        "body": "### **📝 TL;DR**\n\n> **Upstream is a modern email client designed for team collaboration. Teams use it to have conversations that are easy to track, rich in context, and transparent with the rest of their company.**\n\nSign up for the waitlist at [**www.upstream.do**](https://www.upstream.do/?utm_source=yc_launch&utm_medium=post&utm_campaign=launch) !\n\n![uploaded image](/media/?type=post&id=73531&key=user_uploads/1303398/125f0ac3-f789-46b8-8e2d-1b714e67518b)\n\n### **📖 Our Story**\n\nI’ve had the chance to work at successful fast-growing companies, like **Asana** and **Algolia**, and I’ve experienced first-hand the communication problems that arise when you need to coordinate with lots of people while moving at 100mph.\n\nAll organizations are very nimble in the early days, yet most of them lose their efficiency as they scale. **Communication becomes harder**, and teamwork breaks down. Companies continue to rely on **Slack for anything and everything** and start experiencing major inefficiencies:\n\n* **The ball keeps getting dropped:** important messages get missed. Key action items are buried in the never-ending flow of chit-chat.\n* **Decisions and their context get lost in the ether:** where did we discuss this again? Who was involved? What decision did we make and why?\n* **Team members waste their time reading irrelevant discussions** rather than getting stuff done, Slack making it impossible to distinguish signal from noise.\n* **We’re constantly interrupted:** chat’s expectation of immediacy has made it nearly impossible to find uninterrupted deep work time.\n\nAnd while it’s a huge productivity loss for the organization, employees report experiencing deep **anxiety** and feeling completely **overwhelmed** by the use of Slack.\n\n### **💡 A different tool for async conversations**\n\nWhen I was at Asana, we did things differently: we had a specific tool for all of our async conversations (I’m sure you’ve guessed: we used asana for that!). It made it so that our **decisions were easily traceable**, our important conversations had the right amount of context and the right folks involved, action items never got lost, and the volume of Slack notifications was totally reasonable.\n\nIt was so good! I could **easily focus and get in flow**, and always felt on the same page with the teams around me. We were firing on all cylinders! It was pure bliss.\n\nIt left such a strong impression on me that ever since I left Asana, I haven’t stopped thinking about how to **bring that experience to other teams out there**. And when I started seriously researching this, it became clear that, except for a handful of exceptional companies (think Stripe, Gitlab, Alan to name a few), 99% of them don’t even know they could work this way.\n\nI’ve since met [**@Jonathan Tiret**](https://www.linkedin.com/in/jtiret/), and here we are with Upstream: an easy way for teams to make, track and share decisions, directly within their emails.\n\n### **💻 Solution: elevating your emails**\n\n> **_Upstream is an email client that lets teams have conversations that are easy to track, rich in context, and transparent with the rest of their company._**\n\nWe don’t need to fully replace Slack. Chat is great for social chit-chat. Or when you need an answer right away. But more than 80% of our messages don’t require an immediate response. Upstream is a better place to **handle these messages async**:\n\n* Conversations have **context** on who needs to do what by when (assignees, due dates, statuses, summaries, etc.)\n* Team members can stay on top of incoming messages in a nice and tidy **inbox**\n* Conversations are made **visible** to the team, yet people stay opted out of notifications by default\n\n![uploaded image](/media/?type=post&id=73531&key=user_uploads/1303398/5805682f-8b48-4622-8002-85cf63977990)\n\nBecause let’s be honest: **you don’t need one more inbox**. We're building Upstream to simply work with your existing email address: manage everything in one place, create alignment with your team, and regain time for productive work.\n\n### **🤝 Who we are**\n\nI ([**@Louis Lecat**](https://www.linkedin.com/in/lecatlouis/)) was one of the early product people at [**@Asana**](https://asana.com/), where I honed my craft in building engaging collaboration software. I went on to lead the entire product team at [**@Algolia**](https://www.algolia.com/) as their Head of Product through series B and C, assembling a team of 20+ talented Designers, PMs, and Researchers, while growing ARR 2.5x to $100M+.\n\n[**@Jonathan Tiret**](https://www.linkedin.com/in/jtiret/) has extensive experience as a hands-on engineer and a tech leader in SaaS. He was the VP of Engineering at [**@Doctrine**](https://www.linkedin.com/company/doctrine/) before it got acquired, and is the creator of [**@Dino Gaïa**](https://www.dinogaia.com/)**,** one of the most popular online consumer games in France in the 2000s.\n\n![uploaded image](/media/?type=post&id=73531&key=user_uploads/1303398/6f46c6e2-66dd-4a9f-a0b0-43045858c643)\n\n**_We’re on a mission to make the other 99% of companies out there more efficient and productive and we’re obsessed about it!_**\n\n* [**Sign up**](https://www.upstream.do/?utm_source=yc_launch&utm_medium=post&utm_campaign=launch) for the waitlist\n* [**Book a call**](https://calendly.com/upstream-louis/intro) with us if these problems truly resonate with you. We’re looking for design partners to onboard onto the alpha version of the product, and help us shape its future.",
        "url": "https://www.ycombinator.com/launches/J7z-upstream-an-email-client-designed-for-team-collaboration",
        "votes": 81,
        "created_at": "2023-07-28T07:01:49.267Z"
      }
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    "id": 28927,
    "name": "Metalware",
    "slug": "metalware",
    "former_names": [
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      "Metalware",
      "Isocode"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/17a2d106f9cdebdba12fd6e7d00d9e948e77f5be.png",
    "website": "https://www.metalware.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Metalware develops advanced firmware security solutions for critical infrastructure, protecting industries like aerospace, defense, automotive, telecom, and healthcare from cyber threats.\r\n\r\nOur product is an automated, intelligent binary fuzzer that enables organizations to efficiently discover and remediate security weaknesses in hardware products before deployment.",
    "one_liner": "Firmware cybersecurity",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1689732876,
    "tags": [
      "DevSecOps",
      "Hardware",
      "GovTech",
      "Cybersecurity",
      "Enterprise"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Security"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/metalware.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/metalwareinc",
    "x_url": "https://twitter.com/metalwareinc",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/metalware",
    "github_url": "https://github.com/metalware-inc",
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        "full_name": "Ryan Chow",
        "title": "Founder",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chowryan",
        "x_url": "https://twitter.com/ryanchowww",
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        "user_id": 1371245,
        "full_name": "Andrew Nedea",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO of Metalware. Previously SpaceX, Amazon Robotics, Autodesk.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/andrew-nedea-404b38131",
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        "id": 88398,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/metalware/jobs/uNMiZtp-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Embedded systems",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "C++",
          "Rust",
          "Hack",
          "Software Architecture",
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          "Embedded Linux",
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    "id": 28930,
    "name": "Midrender",
    "slug": "midrender",
    "former_names": [
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      "Revideo"
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    "website": "https://midrender.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Midrender is a visual editor for creating motion graphics, powered by AI. Point the agent at your codebase, it reads your code, understands the feature, and creates an animated walkthrough you can ship. A full timeline and design editor lets you fine-tune every detail.",
    "one_liner": "Turn product features into launch videos",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1688598945,
    "tags": [
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      "Design Tools",
      "Video",
      "Marketing",
      "AI"
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    "regions": [
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      "America / Canada"
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/haven-ml",
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    "github_url": "https://github.com/redotvideo",
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      {
        "user_id": 1910964,
        "full_name": "Konstantin Hohr",
        "title": "Founder",
        "founder_bio": "Konstantin is the founder of Revideo. Previously, he studied computer science at RWTH Aachen while simultaneously working as a software engineer at Jodel, where he built content moderation and abuse detection systems. At DynamoAI (W22), he spearheaded development on vertical federated learning based products.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/konsti-h",
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      {
        "id": 80105,
        "title": "Revideo - Create videos with code",
        "tagline": "An open source toolkit to build web-based video apps.",
        "body": "### TLDR:\n\nWe are building [Revideo](https://re.video/), a web-based open-source framework that lets you create videos using the animation library Motion Canvas. It exposes basic video & audio editing functionality through a typescript API and lets you render videos with dynamic inputs. You can find our code on [**Github**](https://github.com/redotvideo/revideo)!\n\n### **The Problem:**\n\nWe believe that AI will drastically change how people produce video and that huge amounts of video will soon be created in an automated manner. Initially, we wanted to build applications in this space ourselves and started to work on a few ideas. For example, we worked on an AI-based app to automatically create highlight videos for Twitch streamers, as well as a platform that lets companies A/B test video ads.\n\nWhile building these products, we noticed that we weren’t really happy with the tooling we used. Most video editing frameworks lacked essential features, and the tools we liked were not open source. Therefore, we decided to build Revideo.\n\n### **The Solution:**\n\nWe built Revideo by extending the animation library Motion Canvas and adding features that are essential for automatically creating videos. These features include support for audio, substantially faster video rendering, and an API for programmatically rendering videos with dynamic inputs.\n\nHere is a code example of a basic video created with Revideo:\n\n![uploaded image](/media/?type=post&id=80105&key=user_uploads/1023703/4f0ca7c8-30c6-402a-a087-2b2829275c40)\n\nThe code above produces the following result:\n\n<https://youtu.be/FGeujyec7_g>\n\n### **Our Asks:**\n\n* Check out [Revideo](https://github.com/redotvideo/revideo) on Github and give us a ⭐ if you like it!\n* We’d love to chat with anyone building video products! If you are building one or know people who do, please reach out ❤️",
        "url": "https://www.ycombinator.com/launches/Kq1-revideo-create-videos-with-code",
        "votes": 12,
        "created_at": "2024-04-11T15:49:45.395Z"
      },
      {
        "id": 76501,
        "title": "Haven: Fine-tune and run open source LLMs super fast ⚡",
        "tagline": "Haven lets you build open source LLMs that are specialized for specific tasks",
        "body": "# TLDR:\n\nWe are excited to launch [Haven](https://haven.run/)’s fine-tuning platform for open source LLMs!\n\n* Haven lets you fine-tune open source LLMs such as Llama or Mistral without writing code or setting up infrastructure. We charge $0.004/1k training tokens, and you get $5 in free credits after signing up\n* You can host models for testing with <1s cold start times. We achieve this by running hundreds of model adapters on a single GPU and hot-swapping them based on user requests (will write more about this in a blog post)\n\nYou can get started [**here**](https://app.haven.run/) - alternatively, reach out to [**hello@haven.run**](https://app.haven.run/) or watch our [demo](https://www.youtube.com/watch?v=XpyVKUyt7k8) if you want to learn more!\n\n### **The Problem**\n\nOver the last months, we’ve identified two big pain points that make it hard to work with open source models:\n\n1. Open source models work best when they are trained for specific use cases, but the fine-tuning process with existing tools is super annoying. We have found that most of our time is spent setting up infrastructure to go from finishing a training run to actually testing our models, rather than actually writing code and improving our models\n2. Hosting custom models is expensive. Running a single Llama-7B model in float16 requires at minimum an A10 GPU, which costs $700+ per month. To run ten or a hundred specialized models for common tasks, this would mean that we have a monthly AWS bill of $7,000 or $70,000, respectively.\n\n### **The Solution**\n\nHaven’s platform offers a super simple way to fine-tune models without managing infrastructure or writing code, and to test and run them with low costs and without any additional work.\n\nWe are able to provide a super short feedback loop of going from training to running a fine-tuned model by hosting multiple lora adapters in parallel. This makes it possible for us to host hundreds of fine-tuned models on-demand on a single GPU. For our users, this reduced model cold start times to <1s and internally, we are able to host a single fine-tuned model for a couple of dollars per month. We also enable our users to export their model weights to Huggingface, so that they can run models entirely on their terms.\n\n### **Our Ask**\n\nFeel free to check out our [**platform**](https://app.haven.run/) and give us feedback! After signing up, you’ll receive $5 in credits to train a couple of models :) We are also happy to answer questions at [**hello@haven.run**](https://app.haven.run/)",
        "url": "https://www.ycombinator.com/launches/Jtt-haven-fine-tune-and-run-open-source-llms-super-fast",
        "votes": 8,
        "created_at": "2023-11-29T17:29:33.896Z"
      },
      {
        "id": 73716,
        "title": "🔮 Haven - Run LLMs on Your Own Cloud",
        "tagline": "Haven makes it easy to deploy LLMs on your own infrastructure",
        "body": "**TL;DR:** Haven makes it easy to deploy LLMs in your GCP / AWS environment. We provide the user experience of serverless solutions like Replicate or Huggingface Inference Endpoints - but instead of running your models on Haven’s servers, we just manage your infrastructure for you. This gives you full control over your data and you get to use your precious cloud credits!\n\n### **🤕 The Problem**\n\nMany companies want to use large language models but do not want to rely on third-party providers as it makes them dependent on external services and comes with significant privacy risks.\n\nHowever, deploying models in-house is just not easy: engineers have to figure out CUDA environments, write and containerize efficient serving code, and expose it as an API server. And let’s not even talk about scalability…\n\nHaven solves this problem. We offer the simplicity, reliability, and scalability of third-party providers while allowing our users to securely run models on their own infrastructure.\n\n### **🤯 How It Works**\n\nHaven is built on top of Kubernetes, which makes it easy to scale and reliable in production settings. Deploying a model with Haven consists of just three steps:\n\n**1\\. Upload a Service Account Key**\n\nUploading a service account key gives Haven permission to manage your cloud resources for you. Under the hood, Haven will now set up a Kubernetes cluster running in your cloud environment.\n\n![uploaded image](/media/?type=post&id=73716&key=user_uploads/1023703/6b35bcd0-f0f5-4f4b-b3ab-dbb6a46261ff)\n\n**2\\. Configure Your Deployment**\n\nYou can now choose your model, select the GPUs you want it to run on, and configure the scaling behavior of your deployment. Haven will accordingly set up the model in your Kubernetes cluster.\n\n![uploaded image](/media/?type=post&id=73716&key=user_uploads/1023703/59c94edb-14a5-4e4e-b173-a4b19223ebdb)\n\n**3\\. Enjoy Your Model**\n\nYour LLM is up and running in minutes! Our deployments offer super-fast inference and advanced features like input batching for efficient serving. This way, you can immediately integrate them into your application.\n\n![uploaded image](/media/?type=post&id=73716&key=user_uploads/1023703/773c461a-05ba-48b2-ba96-6b4c88d23cbf)\n\n### **💪 The Team**\n\nWe’re Konstantin and Justus. The two of us met as freshmen in college, and have since built multiple projects together.\n\n![uploaded image](/media/?type=post&id=73716&key=user_uploads/1023703/95a23ea8-c105-4d8d-af62-f2a527bb50f7)\n\n[Justus](https://www.linkedin.com/in/justus-mattern-a04230184/) is an AI researcher and has been working on LLMs since 2020. As a member of AI labs at UC Berkeley and ETH Zürich, he has published multiple papers at leading research conferences.\n\n[Konstantin](https://www.linkedin.com/in/konsti-h/) has already been a full-time software engineer before starting his university studies. At Germany’s biggest social networking company, he built infrastructure handling requests from millions of daily users.\n\n### **💜 Our Ask**\n\n**Sign up **[**here**](https://vkg6c80ex61.typeform.com/to/IMCFY5Cf)** to work with us!**\n\nWe are working closely with our users to fully understand the needs of companies aiming to integrate LLMs into their products. Beyond giving access to our deployment tool, we partner with early customers to evaluate their use cases and fine-tune models for their needs. If this sounds interesting, sign up for early access or contact us at [hello@haven.run](mailto:hello@haven.run)!\n\n**Refer us to companies looking to use LLMs!**\n\nIf you have connections at companies looking to use LLMs, we’d highly appreciate introductions! You can reach us at [hello@haven.run](mailto:hello@haven.run).",
        "url": "https://www.ycombinator.com/launches/JAy-haven-run-llms-on-your-own-cloud",
        "votes": 229,
        "created_at": "2023-08-02T16:28:57.262Z"
      }
    ]
  },
  {
    "id": 28931,
    "name": "Vizly",
    "slug": "vizly",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba0d44f6e33397a7932f4616c99d34e64aaaa42c.png",
    "website": "https://vizly.fyi",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Vizly helps you get the most out of your data by turning it into actionable insights in seconds. Whether you're a researcher, professor, data analyst, or business leader, Vizly's AI capabilities enable you to visualize, analyze, and interpret your data effortlessly.\r\n\r\nFor example, Vizly can automatically generate interactive visualizations, perform detailed statistical analyses, and offer predictive insights, making your data analysis workflow seamless.\r\n\r\nBefore Vizly, Ali built out people-based AI recommendations at Apple and Sami built mission-critical data visualization systems at NASA's Jet Propulsion Laboratory.",
    "one_liner": "Data to insights in seconds",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1690922920,
    "tags": [
      "Privacy",
      "Data Science",
      "Data Visualization",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
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      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vizly",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/vizly.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/squaredtechnologiesinc/",
    "x_url": "https://twitter.com/vizlyhq",
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    "cb_url": "https://www.crunchbase.com/organization/vizly",
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      {
        "user_id": 634427,
        "full_name": "Ali Shobeiri",
        "title": "Founder",
        "founder_bio": "I was previously a Machine Learning Engineer at Apple owning people based recommendations across devices. Before that, I was a ML Research Intern at Unity and a Software Engineer at Microsoft. ",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/ali-shobeiri",
        "x_url": "https://twitter.com/Ali_Shobeiri",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f3b1d98183acd018ae32e0841391237a80219434.jpg"
      },
      {
        "user_id": 635591,
        "full_name": "Sami Sahnoune",
        "title": "Founder",
        "founder_bio": "Before Vizly, Sami built mission-critical data systems at NASA's Jet Propulsion Laboratory, architected widely-used data visualization libraries at Splunk, and worked at Plotly, a leading data visualization company with over 500 million open-source downloads. His work has consistently pushed the boundaries of data visualization and analysis, benefiting thousands of users worldwide.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/samisahnoune",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bb513e0ff0b55132c5db0962ac5fcd9ccac7e6c.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 74490,
        "title": "Vizly – Chat with your data",
        "tagline": "Query your data using natural language",
        "body": "### TL;DR - Explore your Data by Asking Questions, No External APIs Required\n\nBuilt by Apple and NASA engineers, [Vizly](https://www.vizly.fyi/) is an on-premises, AI-powered data analysis tool that allows users to perform data tasks using plain English. Instead of learning complicated BI tools, customers and enterprises can use Vizly to get AI-powered data analysis, without exposing any of their sensitive data to unsecure external APIs.\n\n### **The Problem**\n\nBI tools are complicated and have a steep learning curve to use. Despite enterprises shifting to data-centric cultures, the adoption rate of BI tools in enterprise has remained at **only 15%** \\[1\\]. With more people wanting to access data, existing BI tools have not kept up. This has left data teams to pick up the slack with analysts often spending large portions of their day fighting a barrage of data questions.\n\n### **Our Solution**\n\nWith [Vizly](https://www.vizly.fyi/), we are building a dead simple BI tool that runs fully on-premises and allows anyone to perform their data tasks using plain English. Instead of needing expensive hardware to run, a Vizly instance is both powerful enough and small enough to run even on a single MacBook.\n\nA single employee can set up Vizly on their machine by simply selecting the data sources and sharing a link with their non-technical colleagues. With just a link, anyone in the enterprise can explore the shared data sources using plain English. It operates securely behind the firewall, ensuring no data ever leaves the enterprise network.\n\n# Vizly\n\nTry it out [here](https://www.vizly.fyi/).\n\n![uploaded image](/media/?type=post&id=74490&key=user_uploads/634427/7bafc4a8-fe78-4f8d-9449-78279f199001)\n\nVizly makes data analysis as easy as asking a question.\n\n# **The Team**\n\nSami and I met at McGill University and have been friends for almost a decade. We previously built and sold [YouTube Party](https://chrome.google.com/webstore/detail/youtube-party/ngmncgebkdchkdokiecifpmodajbaopj) together, a project that gained over 300K weekly active users.\n\nNow we are using our expertise from NASA and Apple to build the next generation of enterprise BI tools.\n\nPlotly HQ in Montreal, 2019:\n\n![uploaded image](/media/?type=post&id=74490&key=user_uploads/634427/824a70b3-f7ba-49b2-9684-ed49da20e004)\n\nSan Francisco, 2023:\n\n![uploaded image](/media/?type=post&id=74490&key=user_uploads/634427/590d583a-6941-44f3-bb50-d27ea6171095)\n\nHere’s a little about the team (from left to right):\n\n[Sami](https://www.linkedin.com/in/samisahnoune/): Implemented data visualization libraries at Splunk and previously built critical data visualization systems at NASA Jet Propulsion Laboratory, enabling the Mars Perseverance Rover in its mission of drilling samples from Martian terrain. Previous experience at Plotly, building one of the most widely downloaded low-code data tools.\n\n[Ali](https://www.linkedin.com/in/ali-shobeiri/): Machine learning engineer at Apple, building out people-based recommendations. If you’ve ever shared a photo on your iPhone, or done autocomplete searches, you used a model Ali deployed. Previous experience at Plotly, Microsoft, and Unity Research.\n\n# **Our Ask**\n\n* Give Vizly a try at [vizly.fyi](https://www.vizly.fyi/)\n* Get in touch to tell us about your data needs at [ali@vizlylabs.com](mailto:ali@vizlylabs.com)\n* [Schedule a time to chat](https://cal.com/vizly/30min)\n\nLet us know what you think! Feel free to reach out to [founders@vizlylabs.com](mailto:founders@vizlylabs.com) anytime!\n\n\\[1\\] - <https://www.pyramidanalytics.com/blog/whats-the-ceiling-on-the-adoption-of-business-intelligence/>",
        "url": "https://www.ycombinator.com/launches/JNS-vizly-chat-with-your-data",
        "votes": 39,
        "created_at": "2023-08-29T21:41:30.414Z"
      }
    ]
  },
  {
    "id": 28933,
    "name": "Aglide",
    "slug": "aglide",
    "former_names": [
      "Attic"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3a2460651e6fcbf7d9ddcbd54822e26944663e9.png",
    "website": "https://aglide.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Our mission is to secure access to every enterprise application.\r\n\r\nAglide SSO lets security and IT teams connect non-standard and legacy apps - from banking portals to social media logins - directly to their existing identity provider (Okta, Entra, OneLogin, Ping, etc.), with no need for app-side integration.\r\n\r\nOnce connected, these apps behave like any other IdP-managed service: policies like MFA, Conditional Access, RBAC, and audit logging just work, and end users access them through SSO only.\r\n\r\nCustomers use Aglide to secure both individual apps (e.g., legacy banking portals, Discord, Squarespace) and sensitive shared accounts (e.g., AWS root, social media). Our agentic identity technology means Aglide works with any app out of the box - no integration catalog, no custom scripting.\r\n\r\nToday, companies from public fintechs like Gemini to media companies like The Motley Fool rely on Aglide’s zero-trust, end-to-end encrypted platform to complete their identity stack.",
    "one_liner": "Connect every disconnected app to your SSO.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1689277623,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/aglide",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/aglide.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/aglide",
    "x_url": "https://twitter.com/useaglide",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3a2460651e6fcbf7d9ddcbd54822e26944663e9.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 496743,
        "full_name": "Patrick D. McGuckian",
        "title": "Founder",
        "founder_bio": "Imperial College London alumnus (Design Engineering, specialising in data privacy). Previously COO of Team Repair, a sustainable subscription service teaching STEM & repair. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/patrick-d-mcguckian-6b5743191",
        "x_url": "https://twitter.com/pdmcguckian",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e5843b572edb9d71322d6705bfaf371b4c3532f.jpg"
      },
      {
        "user_id": 1159601,
        "full_name": "Oliver Colebourne",
        "title": "Founder",
        "founder_bio": "Design engineer, specialised in software products. Based in London and studied at Imperial College. Previously CTO for Team Repair, helping create the tech behind our award winning sustainable STEM subscription. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/olivercolebourne",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bec67a6fdc98209f767cb876c60e72f21902575d.jpg"
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    ],
    "jobs": [
      {
        "id": 116669,
        "title": "Founding Engineer (London, UK)",
        "url": "https://www.ycombinator.com/companies/aglide/jobs/phBWl2V-founding-engineer-london-uk",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £150K GBP",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "PostgreSQL",
          "React",
          "TypeScript",
          "Playwright",
          "Puppeteer",
          "Selenium"
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      },
      {
        "id": 116702,
        "title": "Founding Engineer (San Francisco, CA)",
        "url": "https://www.ycombinator.com/companies/aglide/jobs/aMLxbLZ-founding-engineer-san-francisco-ca",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $180K",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "TypeScript",
          "Playwright",
          "Puppeteer",
          "Selenium"
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      }
    ],
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    "launches": [
      {
        "id": 81693,
        "title": "Aglide: Connect any app to your existing SSO - no SAML, no SSO tax",
        "tagline": "Avoid SSO taxes & manage access to apps that don’t support SAML, all from within your existing identity provider.",
        "body": "# **TLDR**\n\nAglide gives customers the same secure SSO, with none of the SAML cost and complexity. Admins can manage user access (conditional access, add/revoke apps, etc.), and end-users can access all their apps with their SSO credentials only.\n\nWith Aglide IdP Connect, you can now add Aglide SSO apps directly to your existing identity provider (Okta, OneLogin, etc.) - centralising management and access for every app to a single platform.\n\n[Aglide IdP Connect Demo](https://youtu.be/LW3DsStr4Ok)\n\n# **A lot of apps can’t be managed with SAML**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/55e0ee0d-a31c-48e9-a66e-1e75a1b4cbe7)\n\nSSOs, like Okta, rely on SAML to manage apps. Unfortunately, SAML has a lot of problems.\n\n* **SSO Tax:** Vendors often double or triple their per-head price just to enable SAML (e.g., Figma, Hubspot, [Monday.com](http://monday.com/))\n* **Minimum Licenses:** Some vendors set a minimum license count to unlock SAML (e.g., Coursera)\n* **Lack of Support:** Smaller or older vendors often don't support SAML at all (e.g., Xero).\n* **Account Sharing:** SAML can't be used when you need multiple users to access a single account (e.g., X/Twitter).\n\nAs a result, companies are left with apps outside of their SSO.\n\n# **Having apps outside your SSO causes problems**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/6633000d-928b-43f3-bda8-9b0873a1cbee)\n\n* **Security Risks:** Unmanaged accounts are much more likely to be breached (phishing, no conditional access, no 2FA, reused passwords, etc.)\n* **Compliance Impacts:** Without proper access management, companies may fail to meet key compliance standards (SOC-II, ISO27001, PCI, HIPPA, etc.).\n* **Disjointed End-User Experience:** Users don’t know what they have or how they can access it.\n* **Inefficient IT Teams:** Non-SSO accounts are difficult to manage and routinely get forgotten when leavers are off-boarded - resulting in access being kept.\n\n# **Aglide offers Okta-level SSO for any app, on any plan**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/c968e8ca-c964-43ec-b5a6-5542830c17e4)\n\nAglide lets you manage access to any SaaS account - no SAML required. Aglide SSO is just as powerful as SAML SSO:\n\n* **Conditional Access:** Admins can apply policies like limiting access to work devices only.\n* **Instant Access Revoking:** Leavers can have their entire access revoked in a single click.\n* **Multi-Factor Authentication:** 2-factor authentication can be enforced for any app.\n* **Seamless Sign-in:** Users can access all their apps with a single set of credentials\n\nJust like with SAML, **apps accessed via Aglide SSO can only be accessed via Aglide SSO.** End-users can’t see or change the original credentials.\n\n# **Now you can add Aglide apps to your existing SSO**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/f57033d9-2a24-4ad6-844d-df2eecdd109a)\n\nWith the launch of Aglide IdP Connect, you can now add Aglide SSO apps to your existing identity provider.\n\n* **Truly Single Sign On:** End-users can access their Aglide SSO apps with the same username and password as their SAML apps.\n* **Unified Launcher:** Aglide SSO apps are nested right inside end-users’ existing SSO launcher.\n* **User & Group Syncing:** SCIM syncs users and groups from your existing IdP, so your whole org can be instantly set up with Aglide SSO apps.\n\n# **Our team**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/2524ff74-03fc-4a51-8556-2bb102b6163f)\n\nMy co-founder, Oliver Colebourne, and I met while studying at Imperial College London. There, we started our first company, Team Repair, with the aim of inspiring the next generation to pursue engineering and embrace the idea of repair and not replace.\n\nWhile scaling Team Repair, we experienced the insanity of SAML and the SSO Tax firsthand. It frustrated us so much that we left Team Repair to join YC and build a company to fix it.\n\n# **Our Asks**\n\n* **Calculate your Savings:** Try our SSO tax savings calculator to see how much Aglide could save you - <https://aglide.com/pricing>\n* **Book a Demo:** If you think Aglide could help your business, book a demo - <https://aglide.com/book-demo>\n* **Share Aglide:** Share Aglide with anyone you know in IT - it could help them save $100,000s.\n* **Email me:** If you have any questions or ideas, ping me an email at [p@aglide.com](mailto:p@aglide.com)",
        "url": "https://www.ycombinator.com/launches/LFd-aglide-connect-any-app-to-your-existing-sso-no-saml-no-sso-tax",
        "votes": 18,
        "created_at": "2024-06-24T14:06:56.254Z"
      },
      {
        "id": 79471,
        "title": "Aglide: Okta-level SSO, without the SSO Tax - now supporting internal apps.",
        "tagline": "Aglide's SAML-less SSO gives you Okta-style access control for any SaaS app. Now, it can do the same with your internal platforms.",
        "body": "**TL;DR:** With the launch of Internal App Connect, Aglide’s powerful access management - letting you monitor each user's apps, add sign-in rules (e.g., only on work computers), and revoke all access in a click - truly supports everything.\n\n[Aglide Internal App Connect Demo](https://youtu.be/JDSv5ixLUic)\n\n# \n\n# **Managing access with SAML is expensive and complicated.**\n\nExisting SSOs, like Okta, rely on SAML to manage apps. For third-party services, this creates costs and headaches:\n\n* **SSO Tax:** Vendors, like Slack and Salesforce, will double or triple the per-head price just to unlock SAML.\n* **Lack of Support:** Smaller or older vendors often don't support SAML.\n\nBut it’s even worse for internal platforms because companies need to pay a fortune for tools to build it with AND dedicate significant engineering time to set it all up.\n\n# **Manage access to ALL your apps with Aglide SSO.**\n\nWith Aglide SSO, you can connect and manage access to any SaaS account with just its username and password - no SAML, no SSO Tax.\n\nToday, we are expanding Aglide’s coverage by launching Internal App Connect - our new service that lets you connect your internal platforms to your Aglide SSO without any engineering time or effort.\n\n![uploaded image](/media/?type=post&id=79471&key=user_uploads/496743/07dd9cab-52d3-4867-91ff-a8398b516ee6)\n\nAglide gives admins the same control over internal apps as it does with third-party services:\n\n* **Full Access Visibility:** Admins can see and control all the apps each user has access to.\n* **Truly Single Sign On:** Employees can access all their work apps with a single username and password (protecting against phishing).\n* **Instant Access Revoking:** Admins can revoke a leaver’s access in a single click.\n* **Powerful Access Rules -** Admins can apply access policies like limiting access to work devices only.\n\nTo set up Aglide Internal App Connect, all you need to do is submit a sandbox account.\n\n# **Internal App Connect is free for anyone who signs up in March.**\n\nAglide customers are live in a day. To learn more:\n\n* Email me → [**p@aglide.com**](mailto:p@aglide.com)\n* Book a Demo → [**aglide.com/book-demo**](https://aglide.com/book-demo)",
        "url": "https://www.ycombinator.com/launches/Kfn-aglide-okta-level-sso-without-the-sso-tax-now-supporting-internal-apps",
        "votes": 18,
        "created_at": "2024-03-18T18:01:04.553Z"
      },
      {
        "id": 76874,
        "title": "Aglide - SSO & access management, without the SSO tax.",
        "tagline": "Okta-style access management, without relying on SAML. Avoid the SSO tax for services like Salesforce and manage access to accounts that don't support SAML, like Twitter.",
        "body": "**TL;DR:** Aglide gives companies Okta-level access control for any app. All you need to connect an account is its username and password.\n\nCompanies use Aglide as their sole SSO or connect it to their existing provider - letting them avoid the SSO tax and manage access to accounts that don't support SAML, like social media services.\n\n[Aglide SSO Demo](https://youtu.be/FNYjIf68mLQ?feature=shared)\n\n—\n\n# \n\n# **A lot of apps can’t be managed with SAML.**\n\nExisting single sign-on services, like Okta, rely on SAML to manage apps. However, for a lot of services, SAML is not viable.\n\n* **SSO Tax:** Vendors, like Slack and Salesforce, will double or triple the per-head price just to unlock SAML.\n* **Minimum Licenses:** Vendors, like Coursera, set a minimum number of licences to unlock SAML.\n* **Lack of Support:** Smaller or older vendors often don't support SAML.\n* **Account Sharing:** SAML can't be used when you need multiple users to access a single account (e.g., Social Media).\n\n![uploaded image](/media/?type=post&id=76874&key=user_uploads/496743/cf348b5e-3ccf-4f19-a5e6-46f3702aa64e)\n\n—\n\n# **Password managers are a bad solution.**\n\nWhen accounts aren't managed by SAML, they are often stored in password managers, causing headaches:\n\n* **No Access Management:** Password managers can't configure a user's ability to access services (e.g., on company devices only or with a USB Security Key)\n* **Off-boarding:** When employees leave, admins might not know what apps they had access to - meaning accounts their accounts won’t get deactivated.\n* **Leavers Keeping Access:** Employees take passwords with them when they leave - meaning they can still access company information.\n\n—\n\n# **Our Solution: Aglide**\n\nAglide's SSO doesn't require SAML. Any app can be connected with just its username and password.\n\n![uploaded image](/media/?type=post&id=76874&key=user_uploads/496743/62928f4e-bcdc-4d30-8484-362e2e84f4ea)\n\n**Truly Single Sign On:**\n\nWith everything connected, Aglide gives users a truly single sign-on - letting them access everything from individual project management tools to shared social media accounts with one set of credentials.\n\n**Instant Session Revoking:**\n\nWith one click, admins can revoke a user's access to everything - closing any live sessions and blocking their ability to generate new ones.\n\n**Full Access Management:**\n\nAdmins have Okta-level control over connected apps - including limiting access to managed devices or requiring a USB Security Key.\n\n**One control point:**\n\nAdmins can see all the apps each user has access to and how frequently they access them - streamlining off-boarding and helping avoid unnecessary spending on unused accounts.\n\n---\n\n—\n\n# **Connect Aglide to your existing IAM or use it standalone.**\n\nCustomers use Aglide as their sole SSO or connect it to their existing provider - using Aglide as a catch-all for the services where it's unviable to use SAML.\n\n—\n\n# **You could be live within a day**.\n\nTo learn how Aglide could cut your SaaS bills and improve your security posture:\n\n* Email me → [p@aglide.com](mailto:p@aglide.com)\n* Book a Demo → [aglide.com/book-demo](https://aglide.com/book-demo)",
        "url": "https://www.ycombinator.com/launches/Jzu-aglide-sso-access-management-without-the-sso-tax",
        "votes": 20,
        "created_at": "2023-12-13T15:40:42.205Z"
      },
      {
        "id": 73047,
        "title": "Aglide - Control your team's SaaS accounts, access, & bills",
        "tagline": "A password manager that shows what apps employees have, how much they cost, and whether they’re actually used.",
        "body": "**TL;DR:** Aglide is a password manager for startups - showing what apps employees have, how much they cost, and whether they’re actually used.\n\nFirms switch from 1Password to simplify cost tracking, cut unnecessary bills, and easily control who has what access.\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/8ad1a01e-fe4e-454f-bc90-6def902a059c)\n\n### Do you _really_ know what apps and access your employees (and ex-employees) have?\n\n**What** **SaaS subscriptions are you paying for?**\n\n“_Everyone has the same 5 core apps… Other than sales who has Pipedrive… Oh, and design uses Figma and Canva… Wait didn’t marketing get that social media tool…”_\n\n**Do you know if services are actually used?**\n\n“_I want everyone to start using our new AI meeting notes tool. Even you, intern that will never host a video call!”_\n\n**Do ex-employees have access to things they shouldn’t?**\n\n“_Just found out we never removed Yasmin from Github after she left. Now she’s working for our competitor!”_\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/d312afdf-7f4c-41a7-950b-b143fcab3e80)\n\n### Enterprise products solve this for enterprises, but not startups and scale-ups.\n\n**They require expensive “Enterprise Plans”:**\n\n* Each managed app needs upgrading to expensive SSO plans:\n  * Figma goes from $12/month to $45/month (Ouch!)\n  * GitHub goes from $4/month to $21/month (5x higher!)\n  * Netlify won’t even tell you (but [these people](https://sso.tax/) say it goes from $19/month to $99/month)\n\n**You need to “Contact Sales”**\n\n* Enterprise services make you sit in a series of sales calls before you can even get started.\n* Founders are busy. They need the problem solved in minutes, not weeks.\n* Oh, and they are spectacularly complicated, so you better hire an IT guy to manage it all.\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/b4d75437-f1a3-43a0-be29-42807d715949)\n\n## Our Solution: Aglide\n\nAglide gives you the power of expensive enterprise tools, in a product that’s as easy to use as a password manager.\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/34766f94-b66d-4051-a502-386532c7a8c6)\n\n**Benefits for you:**\n\n* Set up and roll out to every employee in **less than 5 minutes.**\n* Monitor the apps each employee has and how much they cost.\n* Find and unsubscribe from expensive services no one is using.\n* Someone leaving? Get a list of all their apps to see what needs deactivated.\n\n**Benefits for your employees:**\n\n* Securely store any account, credit card, API key and more!\n* Create vaults to easily share accounts and items between teams.\n* Install the extension, and sign in once per day to seamlessly access all your apps.\n\n**Setting up Aglide and deploying it to your entire team takes less than 5 minutes.**\n\n### Our Ask\n\n* **Tell us the IT problems you want fixed:** We want to hear ALL about your IT pains. Email me at [p@aglide.com](mailto:p@aglide.com) or (if you’re a hero) book a call → [link](https://calendly.com/pdmcguckian/aglide-enquiry)\n* **Sign up today:** Sign up and migrate from 1Password in less than 5 minutes → [link](https://dashboard.aglide.com/join)\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/c0d0a347-44e7-4e90-b2bf-0820bbc15b9f)\n\n",
        "url": "https://www.ycombinator.com/launches/J0B-aglide-control-your-team-s-saas-accounts-access-bills",
        "votes": 44,
        "created_at": "2023-07-13T19:46:03.233Z"
      }
    ]
  },
  {
    "id": 28938,
    "name": "Glade",
    "slug": "glade",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39e64fe4e49894144581ae2ef69befe4cb83f6b8.png",
    "website": "https://gladestudio.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Glade is helping everyone build games with AI. GladeCore powers hundreds of studios and developers with locally powered AI NPCs that include TTS, STT, emotional tuning, and RAG. GladeKit is Cursor for Games - an AI agent that lives directly in your game engine and builds games for you. ",
    "one_liner": "Build games at the speed of thought",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1687994809,
    "tags": [
      "Generative AI",
      "Consumer",
      "Entertainment",
      "Gaming",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/glade",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/glade.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gladegamestudio",
    "x_url": "https://x.com/GladeStudio",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/39e64fe4e49894144581ae2ef69befe4cb83f6b8.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a26e6511816713a17d7f2cec1d66dc6d5d18441c.png"
    ],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 424004,
        "full_name": "Daniel Fang",
        "title": "Founder",
        "founder_bio": "Daniel is the CEO and co-founder of Glade. He has years of experience working in banking, strategic finance, and venture capital. He has previously worked at Navan, Ocean Tomo, and Goldman Sachs.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/danielfang7",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d257131f2a20e76faf35a42e3d3955091e1c875.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
        "date": "Sep 06, 2023"
      }
    ],
    "launches": [
      {
        "id": 98702,
        "title": "GladeKit: AI agent for game development",
        "tagline": "AI agent that understands your Unity project and builds directly inside it (Unreal Engine next)",
        "body": "GladeKit is an AI agent that understands your Unity project and can create systems, modify scenes, and fix bugs directly inside your engine. It doesn’t just generate code snippets - it takes direct action inside your project.\n\n**Demo**: <https://youtu.be/nzyCk8rsrdw?si=nfMdivnegZ0R94tW>\n\n# **The problem**\n\nMost AI tools for game development don’t see your scene hierarchy, prefabs, or existing systems, so developers end up copying code into Unity, wiring components together, fixing errors, and repeating the process.\n\nThis constant context switching slows down shipping real gameplay.\n\n# **The solution: an engine-aware AI agent**\n\nGladeKit connects directly to your Unity project and understands the full context of your game. It reads your scripts, assets, scene hierarchy, and components, then plans and executes changes directly inside the engine.\n\nWhat that looks like in practice:\n\n* 150+ native Unity actions: create prefabs, wire up Animator Controllers, configure physics, build UI, set up lighting, bake NavMeshes - all from natural language\n* Full project awareness: the AI sees your scene hierarchy, active errors, render pipeline, selected objects, and script content before it does anything\n* Three modes built for different workflows: Agent, Debug, and Ask\n* Turn-by-turn revert: every change the AI makes is tracked and reversible, with a built-in script diff viewer so you see exactly what changed\n\nYou describe what you want, and GladeKit builds it inside your project.\n\n# **How it works**\n\nGladeKit indexes your Unity project and builds a structured understanding of:\n\n• Scripts and APIs\n\n• Scene hierarchy and GameObjects\n\n• Prefabs, assets, and components\n\nWhen you request a change (for example: “Create a player controller with WASD movement” or “Fix this null reference error”), it generates a plan and applies the required changes directly to the project.\n\n# **The ask**\n\n1. If you’re building a game in Unity, we’d love for you to try GladeKit.\n2. If you know indie studios or teams experimenting with AI dev tools, intros would be hugely appreciated.\n\nTry it for free here:\n\n<https://www.gladekit.com>\n\n![uploaded image](/media/?type=post&id=98702&key=user_uploads/424004/56ba163b-c05d-45b7-a278-2107abed2ba8)\n\n",
        "url": "https://www.ycombinator.com/launches/Pfy-gladekit-ai-agent-for-game-development",
        "votes": 5,
        "created_at": "2026-03-12T15:09:48.531Z"
      },
      {
        "id": 72665,
        "title": "Glade - Enterprise grade platform for financial planning",
        "tagline": "We helps companies build, manage, and visualize their financial plan in real-time",
        "body": "**_Tl;dr:_** _Finance teams spend 75% of their time on manual processes, and existing tools in the market are extremely difficult to adopt. Glade is a user-first, fully integrated platform that helps enterprises and scaling companies streamline their financial planning, reporting, and analytics. Check out our_ [_website_](https://gladetool.com) _to learn more._\n\nHi everyone, we’re Daniel and Aaron, the co-founders of Glade!\n\n![uploaded image](/media/?type=post&id=72665&key=user_uploads/424004/0b41811b-ce06-4f98-9c81-60bded2fe769)\n\n### **🧨 Problem: Financial Planning is Painful and Tedious**\n\nWithin growing companies and enterprises, there is no single source of truth for financial data, and finance teams are wasting too much time on manual tasks. Daniel was a finance manager at his last company and spent hours every day manually preparing data and handling simple requests from business partners. \n\nExisting tools are also extremely difficult to adopt and implement. Daniel’s previous company implemented Anaplan and paid hundreds of thousands each year for it, yet only one person in his entire company learned how to properly use it. \n\n### **🚀 Solution: A User-First, AI-Powered Financial Platform**\n\nGlade helps companies build, manage, and visualize their financial plan in real-time. \n\nUnlike existing enterprise tools, we fully integrate with all business apps (such as Netsuite, Workday, and Snowflake) to automate the flow of data directly from these apps to your team’s Google Sheets and Excel models. Through our integrations and data enrichment, Glade serves as the central source of truth for all financial data within a company. \n\nOur platform also empowers leaders across the company to make informed decisions and stay aligned. By leveraging AI, we allow users to self-serve financial data through our platform and use natural language to create custom, board deck-ready visualizations in seconds. Want to check how your business is performing in the APAC region? Just ask Glade: “How has my revenue trended in APAC over the last 3 months?” Using AI, we will produce a high-quality chart for you in seconds.\n\n![uploaded image](/media/?type=post&id=72665&key=user_uploads/424004/75f11c06-8d2a-42e8-adc9-08f67408016f)\n\nUsing Glade, companies: \n\n✔️ Speed up financial planning, month-end close, and investor/board deliverables by 2x \n\n✔️ Improve reporting and forecast accuracy by eliminating errors from manual data pulls  \n\n✔️ Align leaders and teams across the company to financial objectives\n\n### **💲Opportunity Size:**\n\nThe total addressable market for enterprise financial planning is $50B. Anaplan is a leader in the space, with a market capitalization of almost $10B. \n\nHowever, with a recorded NPS of -38 and poor user adoption across its customers, legacy enterprise tools like Anaplan are bound to be replaced. \n\n### **❔Our Ask:**\n\nConnect us to CEOs, CFOs, and finance leaders in your network. To contact us, [click here](mailto:daniel@gladetool.com)\n\nIntroduce us to any warm connections you have in fast-growing companies or enterprises. [click here](mailto:daniel@gladetool.com)\n\nAre you a founder and interested in using our software to improve your financial planning process? To schedule a meeting with Glade, [click here](https://calendly.com/danielglade/30min)",
        "url": "https://www.ycombinator.com/launches/Iu1-glade-enterprise-grade-platform-for-financial-planning",
        "votes": 21,
        "created_at": "2023-06-29T22:04:03.669Z"
      }
    ]
  },
  {
    "id": 28940,
    "name": "Guac",
    "slug": "guac",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ffff2e450f7c22939b75b50d62a49acbce05716.png",
    "website": "https://www.guac.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Guac accurately forecasts grocery demand to help supermarkets order and produce the right amount of inventory — reducing food waste and increasing availability.",
    "one_liner": "AI-powered forecasting & replenishment for grocery",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1688056061,
    "tags": [
      "Grocery",
      "Machine Learning",
      "Climate",
      "Supply Chain"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/guac",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/guac.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/guac-ai",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ffff2e450f7c22939b75b50d62a49acbce05716.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1328192,
        "full_name": "Euro Wang",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO of Guac. Passionate about tackling food insecurity & waste with technology!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/eurowang",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b14c1e630ea2d7c23cae28383bd412bf53ab2aee.jpg"
      },
      {
        "user_id": 1361004,
        "full_name": "Jack Solomon",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO of Guac. ML engineer working to make grocery retail more efficient.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jackasolomon",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/995482d8fecb6fd97f6aaffd15da4536953da04c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 95055,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/guac/jobs/qTXMy4i-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Google Cloud",
          "Python",
          "AI Agents"
        ]
      },
      {
        "id": 95386,
        "title": "Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/guac/jobs/s9SJAAT-fullstack-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "React",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 95387,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/guac/jobs/NECdEjo-backend-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Google Cloud",
          "Python"
        ]
      },
      {
        "id": 100833,
        "title": "Strategy & Operations",
        "url": "https://www.ycombinator.com/companies/guac/jobs/IctDRvB-strategy-operations",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$150K - $180K",
        "equity_range": "0.30% - 0.80%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "How the Produce Aisle Inspired a Grocery Tech Startup",
        "url": "https://progressivegrocer.com/exclusive-how-produce-aisle-inspired-grocery-tech-startup",
        "date": "Jan 02, 2024"
      },
      {
        "title": "Y Combinator-backed Guac trains algorithms to predict grocery demand | TechCrunch",
        "url": "https://techcrunch.com/2023/12/19/y-combinator-backed-guac-trains-algorithms-to-predict-grocery-demand/",
        "date": "Dec 19, 2023"
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      {
        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
        "date": "Sep 06, 2023"
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      {
        "id": 72798,
        "title": "🥑 Guac: Ending grocery food waste with AI",
        "tagline": "Hyper-accurate demand forecasting for supermarkets",
        "body": "**TLDR:** We tell grocery stores exactly how many avocados they’ll sell next Tuesday.\\\n\\\n[Guac](http://tryguac.co) uses machine learning to accurately predict how much grocery retailers will sell each day. This helps them order the perfect amount of inventory: enough to meet customer demand without sending tons of leftover food to landfill.\n\n### **🗑️ PROBLEM**\n\n* **Predicting future demand is hard**: product-level demand drastically fluctuates each day based on hundreds of factors like weather, road closures, and sports games. Yet, even the largest supermarket chains still use basic regression models or Excel formulas, which means … \n* **Tons of food waste and empty shelves**: which costs grocery retailers in Europe/US $188B and costs our planet 15 million metric tons of greenhouse gas emissions each year.\n\n### **🥑 OUR SOLUTION**\n\n* **Industry-leading algorithm** that predicts order quantities for each item, each day, each store location. Our average forecast error (MAE) for our current customers is 0.95 units, which translates to a 38% reduction in food waste.\n\n![](https://lh6.googleusercontent.com/ib8L-X2brvq2yDx0i7QlNLakpS-1x79zlJSzMI5phoohO6II0KB9q3GhWEilhqDc6sXoBUm24rj4NXCX4O5sTa9susviyZFku6vb0YzC9_qIVa0Nbq-6YMHvuNaBx_P8_30I8wteFfbGtJu_3g5vdqo)\n\n* How?\n  * **More than just ML**: Grocery demand is driven by real world events that ML models don’t know exist. So we inject 230+ external variables to actually capture people’s buying behavior …  \n  * **_For example,_** _we found that sports betting odds help us predict beer sales. When a sports match is predicted to be a close game, it turns out more people watch the game, driving up beer sales!_\n  * **Customized** for each store location: grocery stores located just 5 miles apart have different customer behavior.\n* **Inventory ordering optimization**: We then turn our hyper-accurate predictions into useful inventory order quantities, based on individual SKU-specific requirements: minimum order quantities, promotions, unknown loss estimates, shelf life, supplier lead times, and more.\n* **Modular integration:** We integrate our ordering recommendations right into the retailer’s existing inventory ordering softwares and workflow. Whether inventory ordering is done at the HQ-level vs. store-level, we fit into the retailer’s system, instead of forcing them to uproot their system to fit into ours.\n\n### **🙏 OUR ASK**\n\nWe’d love introductions to grocery chains (anywhere in the world), especially:\n\n1. Discount grocery chains, with tighter margins\n2. Grocery chains in more remote locations (e.g. Hawaii), with longer supplier lead times and inflexible supply chain\n3. Asian grocery chains in the US, who import a lot of their products from abroad\n\nAnd if you know anyone in the general food/grocery space (POS providers, suppliers/distributors, grocery food waste charities, etc), please let us know at [founders@tryguac.co](mailto:founders@tryguac.co).",
        "url": "https://www.ycombinator.com/launches/IwA-guac-ending-grocery-food-waste-with-ai",
        "votes": 85,
        "created_at": "2023-07-06T00:47:22.192Z"
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    "name": "Letter AI",
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    "website": "https://www.letter.ai",
    "all_locations": "Chicago, IL, USA",
    "long_description": "Letter AI is the world's first generative AI powered revenue enablement platform. Build and maintain all the collateral and training you need 10x faster with generative AI. Personalize instantly by vertical or individual customers using existing data. Ask questions in real-time to your own co-pilot with expertise in your data. Scale coaching with AI simulations, including screen sharing for demo practice. Assess real calls with conversational intelligence and improve win rates with deal-specific coaching.",
    "one_liner": "End-to-end content, learning, & deal intelligence for B2B sales teams",
    "team_size": 70,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1686075662,
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    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/letter-ai",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 1316059,
        "full_name": "Ali Akhtar",
        "title": "Founder",
        "founder_bio": "Founder & CEO of Letter AI. A decade of experience in AI across various roles - as VP of ML Products at project44, ML Engineering Director at Samsara, and AI-focused consultant at McKinsey. Reach out to talk AI, enterprise SaaS, sales enablement, or anything else!",
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      {
        "user_id": 1340401,
        "full_name": "Armen Forget",
        "title": "Founder",
        "founder_bio": "Co-Founder of Letter AI, software engineer, architect and leader. I started my career in military/aerospace and moved to distributed backends and ML Operations. Currently obsessed with the endless possibilities of generative AI and helping our enterprise customers leverage this technology with minimal friction.",
        "is_active": true,
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        "id": 62567,
        "title": "Founding Engineer (Frontend)",
        "url": "https://www.ycombinator.com/companies/letter-ai/jobs/r0lZiVg-founding-engineer-frontend",
        "location": "Chicago, IL, US / San Francisco, CA, US / Remote (San Francisco, CA, US; Chicago, IL, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$100K - $150K",
        "equity_range": "0.25% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "AI-Powered Revenue is Here",
        "url": "https://www.youtube.com/watch?v=znULXKSAN7o",
        "date": "Feb 25, 2026"
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      {
        "title": "Pitch Deck: Letter AI Raises $40M, Unveils New Sales Software Feature - Business Insider",
        "url": "https://www.businessinsider.com/letter-ai-pitch-deck-raises-sales-software-2026-2",
        "date": "Feb 23, 2026"
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        "title": "The Next Chapter: Letter AI Raises Series A Funding to Help Revenue Teams Thrive",
        "url": "https://www.letter.ai/blog/the-next-chapter-letter-ai-raises-series-a-funding-to-help-revenue-teams-thrive",
        "date": "Oct 21, 2025"
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      {
        "title": "Ushering in a new era of AI-powered revenue acceleration",
        "url": "https://www.letter.ai/blog/ushering-in-a-new-era-of-ai-powered-revenue-acceleration",
        "date": "Jun 11, 2024"
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      {
        "id": 73494,
        "title": "📈 Letter AI - Personalized and up-to-date sales enablement, built 10X faster with AI",
        "tagline": "We help your sales teams improve win rates by 30%+ at a fraction of the operational overhead with engaging AI generated enablement",
        "body": "**TL;DR:** [Letter AI](https://www.letter.ai/) empowers sales teams to create personalized enablement content using generative AI. Build and maintain sales assets and product trainings 10X faster using your existing docs and data, empowering reps to close deals instead of wasting hours chasing content.\n\n👋 **Hi we are Ali and Armen from **[**Letter AI**](https://www.letter.ai/)**.** We spent our careers building AI SaaS for enterprise customers at companies like Samsara and Cirrus Logic. As product and engineering leaders, we saw first hand how poor enablement led to time wasted and deals lost. We are building Letter AI to be the solution we wish our sales teams had.\n\n![uploaded image](/media/?type=post&id=73494&key=user_uploads/1316059/981d9300-f59d-43d8-a174-a59d42b6a3fa)\n\n### **❗The Problem**\n\n* **Sales teams feel uninformed about the products they sell.** 42% of sales reps feel they don't have enough information before calling a prospect. The problem is worse at companies with multiple or complex products.\n* **Sales teams squander hours finding the right content to share with customers and prospects.** Even when they find the content, it’s outdated or needs to be personalized for their customer. The average rep spends 440 hours per year doing this - that’s 20% of a 40 hour work week 😅\n* **Companies invest millions in sales enablement, but content goes out of date almost immediately and is impossible to personalize at scale.** Enterprises lose $2.3M on average annually from the opportunity cost of underused or unused content.\n\n### 📈 **Enter Letter AI**\n\nLetter AI leverages generative AI to create interactive and personalized enablement content in minutes, all from your existing documents and data (requirements docs, marketing decks, videos, Gong recordings, etc.). We’re building:\n\n* **AI-driven content creation and updates:** Simply provide your docs / data and few instructions to build interactive learning, product one-pagers, and more. Make updates everywhere with a single instruction.\n* **Personalization at scale:** Re-shape your content instantly for specific roles, industries, reps, or customers. Extract the most relevant content, personalize it, and share with customers using company PPT / PDF templates\n* **AI copilot for real-time help:** Enable your own ChatGPT-like AI assistant with expertise on your products. Reps can get the real-time help they need before going into meetings - or even during them\n* Plus the other things you know and love about enterprise sales software (collaboration, usage analytics, robust RBAC, etc.)\n\n💻 [**Here’s a demo**](https://www.loom.com/share/9fdab38ed7724d40a610e92df009cce0?sid=1b7c37bf-cbfd-4570-85da-a53217aa6594) of Ali building sales training in \\~5 minutes for a product he previously launched using just 2 public blog posts and API docs. The results are on par with what took product, marketing, and sales teams weeks to develop!\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=73494&key=user_uploads/1316059/338118a6-6d95-48e2-aade-161b9ee6090e)\n\n### **🙏 Asks**\n\n* **We are expanding our pilot program to include more customers!** If your company has a large or fast growing sales team and you want to supercharge enablement at a fraction of the overhead, reach out at [hello@letter.ai](mailto:hello@letter.ai).\n* **If you’ve been a part of the wonderful world of B2B sales or sales enablement, we would love your feedback.** Share product feedback and coffee / lunch / dinner / drinks are on us.",
        "url": "https://www.ycombinator.com/launches/J7O-letter-ai-personalized-and-up-to-date-sales-enablement-built-10x-faster-with-ai",
        "votes": 23,
        "created_at": "2023-07-27T14:54:51.043Z"
      }
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    "id": 28957,
    "name": "Continue",
    "slug": "continue",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6603bbbb05f3629720acc724a2c02719efad6f67.png",
    "website": "https://continue.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Acquired by Cursor",
    "one_liner": "Pioneering open-source coding agent",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1688142176,
    "tags": [
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      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/continue",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/continue.json",
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    "city": "San Francisco",
    "country": "US",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 117092,
        "full_name": "Ty Dunn",
        "title": "Founder",
        "founder_bio": "Founder @Continue, Founding PM @Rasa, Computation @UMich",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/tylerjdunn",
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      {
        "user_id": 623872,
        "full_name": "Nate Sesti",
        "title": "Founder",
        "founder_bio": "Co-founder @ Continue. Previously math and physics @ MIT ('24), first hire @ Mayan (W21), building mission control software @ NASA Jet Propulsion Laboratory",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/natesesti",
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      {
        "id": 73449,
        "title": "Continue: the easiest way to code with any LLM",
        "tagline": "An open-source autopilot for VS Code and JetBrains",
        "body": "Hi all! We’re Nate and Ty, co-founders of Continue.\n\n## **🔥 TL;DR**\n\n_Stop copy/pasting code from ChatGPT and take control of your development data 💪_\n\n[Continue](https://bookface.ycombinator.com/company/28957) is the open-source autopilot for software development built to be deeply customizable and continuously learn from development data.\n\nOur GitHub is <https://github.com/continuedev/continue>. You can watch a demo of Continue and download the extension at <https://continue.dev>.\n\n![uploaded image](/media/?type=post&id=73449&key=user_uploads/117092/248795a4-d22a-4f7d-a9fb-42c69d63a463)\n\n---\n\n## **💬 The Problem**\n\nA growing number of developers are replacing Google + Stack Overflow with Large Language Models (LLMs) as their primary approach to get help, similar to how developers previously replaced reference manuals with Google + Stack Overflow.\n\nUnfortunately, existing LLM developer tools are cumbersome black boxes. Developers are stuck copy/pasting from ChatGPT and guessing what context Copilot uses to make a suggestion. As we use these products, we expose our code and give implicit feedback that is used to improve their LLMs, yet we don’t benefit from this data nor get to keep it.\n\nThe solution is to give developers what they need: _transparency, hackability,_ and _control_. Every one of us should be able to reason about what’s going on, tinker, and have control over our own development data. This is why we created Continue.\n\n---\n\n## **⏩ The Solution**\n\nAt its most basic, Continue removes the need for copy/pasting from ChatGPT—instead, you collect context by highlighting and then ask questions in the sidebar or have an edit streamed directly to your editor.\n\nBut Continue also provides powerful tools for managing context. For example, type ‘@issue’ to quickly reference a GitHub issue as you are prompting the LLM, ‘@README.md’ to reference such a file, or ‘@google’ to include the results of a Google search.\n\nAnd there’s a ton of room for further customization. Today, you can write your own\n\n* slash commands (e.g. ‘/commit’ to write a summary and commit message for staged changes, ‘/docs’ to grab the contents of a file and update documentation pages that depend on it, ‘/ticket’ to generate a full-featured ticket with relevant files and high-level instructions from a short description)\n* context sources (e.g. GitHub issues, Jira, local files, StackOverflow, documentation pages)\n* templated system message (e.g. “Always give maximally concise answers. Adhere to the following style guide whenever writing code: {{ /Users/nate/repo/styleguide.md }}”)\n* tools (e.g. add a file, run unit tests, build and watch for errors)\n* policies (e.g. define a goal-oriented agent that works in a write code, run code, read errors, fix code, repeat loop)\n\nContinue works with any LLM, including local models using ggml or open-source models hosted on your own cloud infrastructure, allowing you to remain 100% private. While OpenAI and Anthropic perform best today, we are excited to support the progress of open-source as it catches up (<https://continue.dev/docs/model-setup/select-model>).\n\nWhen you use Continue, you automatically collect data on how you build software. By default, this development data is saved to .continue/dev_data on your local machine. When combined with the code that you ultimately commit, it can be used to improve the LLM used by your team.\n\nYou can read more about how development data is generated as a byproduct of LLM-aided development and why we believe that you should start collecting it now: <https://blog.continue.dev/its-time-to-collect-data-on-how-you-build-software/>\n\nContinue has an Apache 2.0 license. We plan to make money by offering organizations a paid development data engine—a continuous feedback loop that ensures the LLMs always have fresh information and code in their preferred style.\n\n---\n\n## 🙏 **Our Asks**\n\n1. [**Star our GitHub repo**](https://github.com/continuedev/continue)\n2. Download for [**VS Code**](https://marketplace.visualstudio.com/items?itemname=continue.continue) & [**JetBrains**](http://plugins.jetbrains.com/plugin/22707-continue)\n3. Join our [**Discord**](https://discord.gg/NWtdYexhMs) & [**newsletter**](https://continue.dev/?ref=blog.continue.dev#newsletter)\n\n---\n\n## **❤️ The Team**\n\nWe started working on Continue because LLMs rapidly got better and quickly became an important part of our development workflows. In 2021, Ty was helping the research team at Rasa use GPT-3 to create user simulators and Codex to generate Actions code for Rasa Open Source—projects that did not result in shipped products because LLMs were not good enough yet.\n\nThis changed in 2022. During the day, Nate wrote code at NASA, unable to use LLMs due to privacy concerns. But at night, the difference was stark as GitHub Copilot and ChatGPT completely changed how we built side projects.\n\nWe believe that the role of LLMs in software development is only beginning. In order to reach their full potential, developers need to to be able to tinker and unleash their creativity. Every developer must be able to try new things and push what's possible using LLMs without having to ask for permission.\n\n![uploaded image](/media/?type=post&id=73449&key=user_uploads/117092/98c7da9c-a397-4ec1-8727-f1dbc941df77)\n\n",
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        "votes": 44,
        "created_at": "2023-07-26T16:24:35.590Z"
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    "website": "https://rimward.ai/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Rimward helps solar asset managers detect intrusions using the cameras already installed across their sites. It flags camera failures and coverage gaps, and gathers video evidence from multiple cameras to help their team or monitoring provider filter out false alarms and decide when to act.",
    "one_liner": "Solar farm security software for existing cameras",
    "team_size": 1,
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    "subindustry": "B2B -> Security",
    "launched_at": 1691807496,
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        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
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        "id": 92923,
        "title": "Platform Engineer",
        "url": "https://www.ycombinator.com/companies/rimward/jobs/Ocflvow-platform-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€50K - €70K EUR",
        "equity_range": "0.50% - 2.00%",
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        "title": "Here are this year’s top 40 startups at Station F | TechCrunch",
        "url": "https://techcrunch.com/2023/11/15/here-are-this-years-top-40-startups-at-station-f/",
        "date": "Nov 15, 2023"
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      {
        "id": 74260,
        "title": "🦆 Quack AI - AI companion for developer onboarding",
        "tagline": "Bridging open-source efficiency to drive enterprise excellence.",
        "body": "Hello there! I'm FG (short for François-Guillaume 🇫🇷), the founder of [Quack AI](https://www.ycombinator.com/companies/quack-ai).\n\n**tl;dr:** _We help large software companies run like the most efficient open-source projects. In the future, top-tier developers in those organizations will be able to contribute to pivotal projects, regardless of what teams they're from._\n\n### **💬** The Problem\n\nSuccessful OSS projects are well-organized communities where information is shared and valued. Recognizing this gold standard, corporate giants like Microsoft and IBM are shifting towards 'innersource' - a strategy that fosters ownership, augments communication, and bolsters productivity. However, like many cluttered OSS projects, the vast array of solicitations and varying expertise easily gets overwhelming.\n\n### 💻 Our Solution\n\nOur Dual-Fold Approach:\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/195e8fa1-3b7d-4327-9507-c05a168f1531)\n\n* **Clarity for maintainers** (Web interface): we empower maintainers with a framework to streamline contribution processes. Through our intuitive interface, maintainers can design, curate, and sequence the optimal steps for smooth project contributions.\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/94e7fe10-fc64-4df9-893a-8f20fd16e2ea)\n\n* **Guidance for developers** (VSCode extension): with our IDE extension, developers aren't just compliant; they're efficient. It aids in identifying the right issues, ensures alignment with contribution flows, and keeps a pulse on project priorities.\n\nWhile maintaining popular OSS projects and being an active contributor to PyTorch, I’ve often faced the frustration of seeing Pull Requests from newcomers and thinking “If only that person had the reflex to do XYZ.” Those unwritten norms, which often evade CI restrictions, only sink in after repeated code reviews and numerous trials and errors. This uneasy feeling that “it would be so easy if they were to do ABC” highlights the absence of a solid framework for collaborative development.\n\n### 🦆 The Team\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/153b4727-f3fd-4ba1-9020-45fbc7e19d2b)\n\nI tend to describe myself as a _\"Deep learning engineer by day, open source contributor by night 🦇\"_ which is fairly accurate! On top of being among the top contributors of PyTorch, I’ve led the development of the open-source OCR library of devtool company Mindee (YC W21). I experienced first-hand how some open-source communities are structured to achieve high engagement & productivity, which now appeals to software behemoths.\n\n### 🙏 How you can help\n\n* **🤝 Refer**: know someone in a major corporation looming over innersource or part of a substantial OSS project? Please connect us.\n* **⭐ Engage**: star us on [GitHub](https://github.com/quack-ai/companion) & hop into our [Discord](https://discord.gg/E9rY3bVCWd) for the latest updates!\n* **👍👎 Experiment & feedback**: mold your unique coding insights and take our [VSCode extension](https://marketplace.visualstudio.com/items?itemName=quackai.quack-companion) for a whirl.\n* **📣 Share**: share this post with your network, you can find us on [Twitter](https://twitter.com/quack_ai) or [LinkedIn](https://www.linkedin.com/company/quackai)\n\nUp to revolutionize developer collaboration? Let’s get quacking then!",
        "url": "https://www.ycombinator.com/launches/JJk-quack-ai-ai-companion-for-developer-onboarding",
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        "full_name": "Sona Sulakian",
        "title": "Founder",
        "founder_bio": "Building Pincites (S23) to make contract negotiation faster with AI. Previously a transactional attorney, patent attorney, and a strategic consultant for legal tech.",
        "is_active": true,
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        "full_name": "Mariam Sulakian",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Pincites (acq). Previously product at GitHub and eng at Meta.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ms-",
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        "date": "Jan 14, 2026"
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      {
        "title": "Pincites raises $3m seed round | Pincites Blog",
        "url": "https://www.pincites.com/blog/pincites-raises-usd-3m-seed",
        "date": "Sep 07, 2023"
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      {
        "id": 73190,
        "title": "📌 Pincites: AI-powered contract negotiation",
        "tagline": "Close deals faster with AI for contract negotiation",
        "body": "![uploaded image](/media/?type=post&id=73190&key=user_uploads/1369076/99d0dd8f-5228-4ca6-8942-695b81f0605c)\n\nHello! We’re [**Sona**](https://www.linkedin.com/in/sonasulakian/), [**Mariam**](https://www.linkedin.com/in/ms-/), and [**Grey**](https://www.linkedin.com/in/greysteil/)—a team of attorneys, security experts, and AI specialists. We’re on a mission to speed up contract negotiation.\n\n### **❌** Problem\n\n* **Sales negotiations get bottlenecked on legal review**. Sales teams must pause deals while they wait for legal teams to redline and finalize customer agreements.\n* **Unfriendly terms slip through the cracks**. Legal teams can’t ensure that contracts align with company standards _and_ minimize risk when working under time pressure.\n* **Nonstandard language makes understanding your contracts hard.** Lawyers can phrase the same idea in thousands of different ways. At scale, it's difficult to track contract details and negotiation outcomes.\n\n## 💡 Our solution\n\n* **A Word add-in that ensures guidance is available where and when it's needed.** Using the latest large language models, Pincites allows legal teams to build contract playbooks that any internal team can apply consistently within Microsoft Word using our Word add-in. \n* **An AI-powered onboarding flow that turns existing contracts into playbooks.** Simply upload your template, add guidance, and begin redlining. Unlike previous legal tech, manual tagging or model training is unnecessary because Pincites tags clauses based on their semantic meaning.\n\n## **✨** How we help\n\n* **Amplify your legal team’s impact.** Our AI solution surfaces relevant guidance for all teams to quickly review and negotiate contracts using their companies' approved terms. Non-legal teams can securely process contracts, while freeing up legal teams to focus on more critical matters.\n* **Flags key risks for review.** Pincites highlights deviations from your standard language and missing clauses in your contracts. We compare each clause to your standard language, providing insights on variations and associated risk levels. We offer guidance for each variation, ensuring you can align on the right language and conveniently access relevant guidance as you work.\n* **Standardize contracting language and processes.** Pincites serves as a central place for legal teams to define standard guidance that is then embedded in Microsoft Word for easy access by any internal team.\n\n## 🙏 We’re looking to connect with legal teams! \n\n* Refer us to your in-house attorneys at [founders@pincites.com](mailto:sona@pincites.com)\n* Book a 20 minute demo [here](https://calendly.com/pincites/demo)",
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        "votes": 28,
        "created_at": "2023-07-18T19:24:30.580Z"
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        "full_name": "Emily Damato",
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        "founder_bio": "CEO and Co-Founder of MantleBio, modern data engineering for biotech. Previously developed software at GRAIL, Arsenal Bio, and The Broad Institute. MIT Computer Science and Biology. 10+ years at the intersection of computer science and life science.",
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        "full_name": "Madeline Schade",
        "title": "Founder",
        "founder_bio": "CTO and Co-Founder of MantleBio. Previously worked as a software engineer at Google, Arsenal Bio and GRAIL.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/madeline-schade",
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      {
        "id": 82415,
        "title": "MantleBio - Helping scientists transform data into discoveries",
        "tagline": "Modern data engineering, now available free for the scientific community",
        "body": "TL;DR: [Mantle](https://mantlebio.com/) makes data engineering easy (and sometimes fun) for scientists.\n\n**Today, we are excited to announce the launch of Mantle’s free plan, now available to the scientific community. Get started **[**here**](https://mantlebio.com/get-started/)**!**\n\n# 💻  Why does biology need better data engineering?\n\nBiotech generates very big, very complex data. A single DNA sequencing experiment can create 7 TB of data, and generating high-throughput multi-modal data is becoming the norm. Recent breakthroughs in computer science and ML have incredible potential to accelerate life science research. \n\nElectronic lab notebooks (ELNs), like Benchling, help organize research in the wet lab. However, biotech lacks tools to organize and analyze data from instruments, CROs, and public databases.\n\n**Does this sound familiar?**\n\n* Storing experimental metadata in file paths\n  * Writing regex scripts to parse metadata out of those file paths\n  * Regex scripts break when the file path format changes\n* Running bioinformatics scripts locally on a laptop\n  * Not being able to process data when the computational scientist is on vacation\n  * Losing analyses when the computational scientist loses their laptop on vacation\n* Analyzing datasets one by one in a desktop application\n  * Not being able to compare data between teams because each person made the graph slightly differently\n  * Spending a weekend regenerating all of the graphs consistently, and finding several copy-and-paste errors made on the data that was submitted to the grant application last week\n\nAt Mantle, we think science deserves better.\n\n# 🔬 What can you do with Mantle?\n\n**Instant Insights**\n\nMake decisions quickly and confidently. See everything in one place, in real time.\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/0e8966ed-9477-45c2-ba61-408feb3884e8)\n\n**Modern Data Management**\n\nDon’t let unscalable spreadsheets and inflexible databases slow down your research. Scientific research requires rapid iteration and experimentation, and Mantle’s data lake can keep up.\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/7aeaa967-f989-4112-9a74-e6b343c4f57a)\n\n**Bring Your Code**\n\nEffectively leveraging computation, data science, and ML separates the next generation of biotech companies from the last. Mantle hosts the infrastructure to help connect no-code users and great-code writers.\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/6f1860f2-4570-4fa1-8a14-b4fea6961f0c)\n\n# 🌎 How does it work?\n\nMantle is a data infrastructure layer (the “mantle” 🙂 🌎) for biological data analysis.\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/45cbb641-63e7-4475-8f46-35af154abca9)\n\n* **Import** data from ELNs (e.g. Benchling), instruments (e.g. Illumina), CROs, and more\n* **Process** data reproducibly with bioinformatics pipelines and Jupyter Notebooks\n* In a private **data lake**, find, organize, and analyze data of any type and scale\n* **Insights** are accessible to no-code users through real-time visualizations\n* **Data Science & ML** results can be easily shared and traced back to raw data\n\n**Why doesn’t biology use “normal” data engineering tools?**\n\n* **The data is different.** General-purpose tools are designed for consistently structured tabular data. Biology generates data with frequently changing metadata in biology-specific formats. _Mantle’s data lake stores data of any scale, format, or type in a single place._\n* **The ecosystem is different.** Tools that are not designed for biology don’t prioritize integrations with other tools in the science ecosystem. _Mantle has off-the-shelf integrations with standard life science tools._\n* **The processing is different.** Tabular data can typically be processed with simple transformations. Preprocessing genomics data can take dozens of hours and careful parameter tuning. _Custom and off-the-shelf bioinformatics pipelines can be run reproducibly through Mantle, with or without code._\n\n# 👋 Help us close the gap between data and discovery\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/e731a73f-ecf6-4bc2-b601-ed42ee8fb6a9)\n\nWe love data engineering, and we love helping scientists. If you’d like to, here are some ways you can help us:\n\n* **Give Mantle a try!**\n  * Get started [here](https://mantlebio.com/get-started/) for free.\n* **Let us know what you think!**\n  * If you want to chat or see a demo, please reach out to me here: [emily@mantlebio.com](mailto:emily@mantlebio.com)\n  * If you would like help debugging a weird AWS error, please reach out to my co-founder here: [madeline@mantlebio.com](mailto:madeline@mantlebio.com) \n  * We are celebrating this launch with a Computation & Biology happy hour at our SF office on August 13. Space is limited; please RSVP [here](https://lu.ma/jraavbdm).\n* **Learn with us!**\n  * Check out our blogs on [bioinformatics engineering](https://blog.mantlebio.com/p/intro-to-bioinformatics-engineering), [ELNs](https://blog.mantlebio.com/p/eln-breakdown-scale-scope-and-science), and [more](https://blog.mantlebio.com/).\n  * Check out our upcoming [workshops and events](https://lu.ma/mantlebio).\n* **Share this post!**\n  * If you enjoyed reading this, your friends might too 😀\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/LRH-mantlebio-helping-scientists-transform-data-into-discoveries",
        "votes": 13,
        "created_at": "2024-07-25T14:07:49.934Z"
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        "id": 72941,
        "title": "🔬 MantleBio: Scaling data driven discovery for biotech",
        "tagline": "Our data platform helps scientists and computational biologists manage and analyze high-throughput experiments",
        "body": "Hi everyone, we’re [Emily](https://www.linkedin.com/in/emily-damato-36932523/) and [Madeline](https://www.linkedin.com/in/madeline-schade/) from [MantleBio](http://mantlebio.com)!\n\nMantleBio is a modern data engineering platform for life science research and computational biology. While software like Benchling helps organize research in the wet lab, MantleBio powers research in the dry lab. Our platform helps biotech companies leverage advances in computational science and machine learning with tools built for biotech.\n\nIf you’re a computational biologist or work with biological data we would love to chat. Contact us at [mantlebio.com](http://mantlebio.com) or [info@mantlebio.com](mailto:info@mantlebio.com).\n\n### The Problem\n\nBiotech generates a tremendous amount of data. High-throughput sequencing and screening have become the norm, R&D groups can generate terabytes of data per day, and biotech is estimated to have the largest volume of data of any industry by [2025](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002195).\n\nRecent breakthroughs in computer science and machine learning have the opportunity to profoundly impact scientific research. However, the majority of biotech companies lack the tools or software team necessary to fully utilize these advances and the data they have.\n\nWithout implementing the best data practices, biotech companies are often unable to find past results, reproduce analyses, or integrate multiomic datasets. This can be a bottleneck for future experiments and jeopardize regulatory filings. Meanwhile, generic data management software fails to address the complexities specific to life science. MantleBio bridges this gap, accelerating data driven discovery with tools built for biotech.\n\n![uploaded image](/media/?type=post&id=72941&key=user_uploads/1435929/28c97902-c13b-461a-917e-17858a41d971)\n\n### Our Solution\n\n* Simplify multiomics with centralized data management.\n  * Other systems require scientists to design their own schemas. We collaborate with experts to create domain-aware data models available off the shelf.\n  * Our API, CLI, and UI make datasets easily accessible to no-code users and computational scientists.\n* Automate the analysis of routine workflows. Start a DNA sequencing run, grab coffee, and receive the results in your inbox.\n  * We connect to Benchling, Notion, BaseSpace and other systems to read experimental data from the source. Our API and data transformation pipelines allow custom integrations with even the most difficult laboratory instruments.\n* Create bioinformatics pipelines in minutes, not days.\n  * Computational biologists can create production pipelines directly in MantleBio without managing cloud infrastructure or writing Docker files.\n* Prepare for the next IND filing or FDA audit with reproducible datasets and analyses.\n  * MantleBio automatically records a version history for all datasets. The platform captures inputs, processing, and outputs of all analyses, creating a connected and auditable graph of everything in the computational lab.\n\n![uploaded image](/media/?type=post&id=72941&key=user_uploads/1435929/c5949154-a9ed-49a9-9fa5-37c572dc06ad)\n\n## About Us\n\nMadeline is a software engineer with experience as a full-stack engineer at multiple biotech companies and at Google working on large data pipelines. At GRAIL she developed an EDC that supported one of the largest clinical trials ever performed (over 200k patients), and at Google worked on a system supporting 10 billion queries per day. She studied computer science and computer engineering at UC Santa Cruz, where she did research in large distributed systems.\n\nEmily is a “full-stack computational biologist”. Her software experience includes back-end, full-stack, and machine learning. She has done biology research at MIT in both the wet lab and dry lab, and in industry has worked in drug discovery, cell therapy, diagnostics, molecular dynamics simulations, and patient health records.\n\nEmily and Madeline met while working as software engineers at GRAIL, a cancer diagnostic company. From there they both went to Arsenal Bio, a cell therapy company. They realized these biotech companies had common data management needs, but there was no common tool available. They started MantleBio to make the best data engineering practices accessible to all life science research.\n\n### Want to learn more?\n\nContact us at [mantlebio.com](http://mantlebio.com) or [info@mantlebio.com](mailto:info@mantlebio.com).\n\nWe love helping scientists. If you have questions about your current data practices (e.g.“will this scale?”) we also do free data infrastructure reviews.",
        "url": "https://www.ycombinator.com/launches/IyT-mantlebio-scaling-data-driven-discovery-for-biotech",
        "votes": 45,
        "created_at": "2023-07-11T17:43:56.253Z"
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    "id": 28968,
    "name": "Trainy",
    "slug": "trainy",
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    "website": "https://trainy.ai/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Goodbye Slurm, Hello Konduktor.\r\n\r\nTrainy Konduktor is a software platform for AI teams to schedule workloads with priority, control resource allocation, and improve GPU reliability. With Konduktor, teams submit jobs to a healthy pool of GPUs, assign job priority with a simple user interface, and never worry about hardware faults again.",
    "one_liner": "Infrastructure for managing GPU clusters for training/serving.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1687891811,
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    "status": "Active",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/trainy",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/trainy.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trainy-ai/about/",
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    "github_url": "https://github.com/Trainy-ai/",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 509361,
        "full_name": "Roanak Baviskar",
        "title": "Founder",
        "founder_bio": "Studied CS & Mathematics at UC Santa Cruz. Led Audio team at Hive AI, where we trained and deployed 500M parameter-scale models to production.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/roanakb",
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      },
      {
        "user_id": 1404133,
        "full_name": "Andrew Aikawa",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at Trainy building a training platform to make deep learning go faster. Previously a lead Machine Learning Engineer for Hive AI's object detection products. I completed my Physics Ph.D. UC Berkeley '22 where my thesis focused on applying computer vision and deep learning on nanoscience. Physics & Computer Science B.A. UC Berkeley '17.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/asai",
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    "launches": [
      {
        "id": 97424,
        "title": "🪐 Pluto – OSS experiment tracker for Neptune users",
        "tagline": "Neptune-compatible experiment tracking, built for teams running AI workloads",
        "body": "[**→ Try the live playground**](https://demo.pluto.trainy.ai/o/dev-org/projects/my-ml-project) – explore Pluto with real sample experiments, no signup required.\n\nNeptuneAI is shutting down on March 5th after being acquired by OpenAI. We built Pluto so you can migrate safely without rushing.\n\n---\n\n### **👋 Who we are**\n\nHey YC, we're Roanak and Andrew! We founded Trainy to help AI teams efficiently manage and utilize GPU infrastructure. When we heard Neptune was shutting down, our customers started panicking about losing years of experiment history and having to rewrite their logging code on a tight deadline.\n\nSo we built Pluto.\n\n![uploaded image](/media/?type=post&id=97424&key=user_uploads/509361/6cbcdb3e-6f5f-4f7f-8855-58001d921c66)\n\n### **🔥 The problem**\n\nNeptune's March 5th shutdown is forcing research teams into one of the worst kinds of migrations: rushed, high-stakes, and hard to verify.\n\nMost alternatives require you to:\n\n* Rewrite your logging code\n* Lose your historical runs (or spend days exporting and reformatting)\n* Hope the new tool handles your multi-GPU workloads the same way\n\nAnd you have to do all of this before March 5th or your data gets deleted.\n\n### **🛠 How Pluto solves it**\n\n**1. Dual-log to both platforms simultaneously**\n\n[Add one import](https://docs.trainy.ai/pluto/neptune-migration), keep your existing Neptune code running, and Pluto logs side-by-side. Validate that everything matches on your real training workloads before you cut over.\n\n**2. Export your Neptune history**\n\nPluto includes [a Neptune exporter](https://docs.neptune.ai/transition_hub/migration/to_pluto) that brings your old runs into Pluto. Years of experiment data, preserved.\n\n**3. Built for the workloads Neptune users actually run**\n\nWe're optimizing for what Neptune users loved: UI responsiveness at scale, reliable logging throughput under multi-node/multi-GPU workloads, and the ability to track thousands of per-layer metrics without lag.\n\n**Deployment options:**\n\n* **Self-hosted** – for sensitive data or air-gapped environments, instructions in [server readme](https://github.com/Trainy-ai/pluto-server)\n* **Hosted** – $250/seat/month (free for existing Trainy customers)\n\n---\n\n### **🙏 Our ask**\n\n**If you're a Neptune user, please try Pluto with dual-logging before the March shutdown.**\n\nWe're specifically looking for feedback on:\n\n* Anything that would block your cutover\n* Features you rely on that we're missing\n* UI/performance differences at scale\n\n**Early Bird offer:** Start dual-logging in the next 2 weeks → **3 months hosted free**.\n\n👉 Once you’ve made an account on [pluto.trainy.ai](http://pluto.trainy.ai), email [roanak@trainy.ai](mailto:roanak@trainy.ai) or [grab a time to chat](https://calendly.com/roanak/trainy-demo) and we’ll add seats/storage.\n\n---\n\n### **🔗 Links**\n\n* [**Playground**](https://demo.pluto.trainy.ai/o/dev-org/projects/my-ml-project) – try it now\n* [**Quickstart**](https://docs.trainy.ai/pluto/quickstart) – get running in 5 minutes\n* [**GitHub**](https://github.com/Trainy-ai/pluto) – Apache-2.0 (client), AGPL-3.0 ([server](https://github.com/Trainy-ai/pluto-server)) ⭐\n\nWe're listed on[ **Neptune's official transition hub**](https://docs.neptune.ai/transition_hub/migration/to_pluto).\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/PLM-pluto-oss-experiment-tracker-for-neptune-users",
        "votes": 10,
        "created_at": "2026-02-04T22:26:06.748Z"
      },
      {
        "id": 72587,
        "title": "🚅 Trainy - Identify bottlenecks, boost training",
        "tagline": "Dashboards to help ML engineers training large models isolate performance bottlenecks and boost training speed.",
        "body": "**tl;dr** We help ML engineers training large models isolate performance bottlenecks during training. Trainy summarizes profiling information during large distributed training so that you know exactly what is limiting the speed of your model training.\n\nHello everyone, we are Andrew and Roanak, ML engineers from the bay. We’ve experienced firsthand the challenges of distributed training and getting the most out of your compute resources. That’s why we are building tools to help ML engineers training large models optimize training speed and take the guesswork out of estimating the time and cost of training.\n\n![uploaded image](/media/?type=post&id=72587&key=user_uploads/1404133/cde44cc9-7436-422f-b0fd-c7c3f2a94ff2)\n\n# **The Problem**\n\nDistributed training has enabled the training of ever-growing generative AI models. However, gains in speed are not simply proportional to the number of GPUs recruited and can quickly have diminishing returns depending on infrastructure and the model being trained. Tools now mainly focus on profiling a few GPUs, but become unwieldy the moment you scale beyond the 10 GPU mark.\n\n# **Our Solution**\n\nWe created a dashboard to display timing information across many GPUs. It’s a graph interface built on top of Tensorboard and PyTorch Profiler, existing tools familiar to ML engineers.\n\n![uploaded image](/media/?type=post&id=72587&key=user_uploads/1404133/729377af-3ca9-499b-acf7-1e2f1f569940)\n\n# **How it works**\n\nWe summarize profiling information over many GPUs in a few key views that help ML developers identify where in the ensemble of GPUs there are inefficiencies. Statistics about computation, communication, and memory operations across many GPUs isolate straggling GPUs. Distributed training can only proceed as fast as the slowest GPU participating. By isolating slow outliers, an ML developer can zoom in on the operations running on the straggling GPU and make optimizations to their code to balance timings across GPUs and lower resource idling.\n\n# **The Ask**\n\nWe’d love for you to try out our profiler if you are training your own models. <https://github.com/Trainy-ai/nodify>\n\nAlso join our community if you want to stay up to date with the development of our tools. <https://discord.com/invite/d67CMuKY5V>",
        "url": "https://www.ycombinator.com/launches/Isl-trainy-identify-bottlenecks-boost-training",
        "votes": 21,
        "created_at": "2023-06-27T19:06:48.265Z"
      }
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    "id": 28971,
    "name": "Kobalt Labs",
    "slug": "kobalt-labs",
    "former_names": [
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    "website": "https://www.kobaltlabs.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Automate and strengthen manual risk and compliance operations for fintechs and banks. Given a third party contracts and documentation, Kobalt’s reasoning engine ingests internal policies and procedures, legal commitments, past privacy and compliance assessments, and syncs with external legislation to instantly auto-surface and track risks.\r\n\r\nWe're helping community/regional/sponsor banks increase revenue and scale their partnership and vendor volume, and we're helping fintechs conduct their partner diligence in 1/10 the time, all without needing to increase headcount.\r\n",
    "one_liner": "AI-powered risk and compliance for financial institutions",
    "team_size": 13,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1688528207,
    "tags": [
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      "Fintech"
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      "America / Canada"
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kobalt-labs/",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "user_id": 243286,
        "full_name": "Kalyani Ramadurgam",
        "title": "Founder",
        "founder_bio": "CEO of Kobalt Labs, previously AI research at Stanford, built financial security products at Apple, and built health data analysis tools used by governments of 13 countries at Zenysis.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kalyani-ramadurgam-4a76331b5",
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      {
        "user_id": 1350031,
        "full_name": "Ashi Agrawal",
        "title": "Founder",
        "founder_bio": "CTO of Kobalt Labs. Ex-Affirm, Nuna, Meta. Stanford BS in Computer Science.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ashi-agrawal",
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    "jobs": [
      {
        "id": 110254,
        "title": "Customer Success",
        "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/ZqSvrhd-customer-success",
        "location": "New York City",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110255,
        "title": "Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/NpKtQhi-software-engineer-full-stack",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110256,
        "title": "Software Engineer (Backend)",
        "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/16KxnbV-software-engineer-backend",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 110257,
        "title": "Software Engineer (Tech Lead)",
        "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/JUfGs6N-software-engineer-tech-lead",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "5+ years",
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        "title": "Marketing",
        "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/Dg9bPNN-marketing",
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        "id": 110832,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/KOQIZvJ-product-designer",
        "location": "New York City",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 110993,
        "title": "Financial Institution Partnerships",
        "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/Auqyum2-financial-institution-partnerships",
        "location": "Remote / Remote (US)",
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        "role": "Sales",
        "role_type": null,
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Kobalt Labs Joins the NayaOne Tech Marketplace",
        "url": "https://nayaone.com/kobalt-labs-joins-the-nayaone-tech-marketplace",
        "date": "Aug 12, 2024"
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    "id": 28974,
    "name": "Gleam",
    "slug": "gleam",
    "former_names": [
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    "website": "https://joingleam.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Gleam automates data entry for clinical research sites.",
    "one_liner": "Automating Data Entry for Clinical Trials",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690443767,
    "tags": [
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      "Healthcare",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/gleam",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/gleam.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gleam-os",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "user_id": 1030778,
        "full_name": "Oliver Keh",
        "title": "Founder",
        "founder_bio": "Founder + CEO @ Gleam.",
        "is_active": true,
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    "id": 28976,
    "name": "Bolto",
    "slug": "bolto",
    "former_names": [
      "Social Inc.",
      "Pampas Inc.",
      "Pampas",
      "Onnix",
      "Crew",
      "Crew AI",
      "Crew"
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        "body": "**TL;DR**\n\n**🔎 We Find Top 1% Global Software Talent:**\n\n![uploaded image](/media/?type=post&id=82005&key=user_uploads/1123110/ae012944-319c-4b87-9080-7979a76c72a2)\n\nWe source the best remote tech talent from big tech and top start-ups. The process is highly rigorous— AI is used to vet candidates technically and create a holistic picture by assessing their public profiles, past projects, and performance on technical assessments. \n\nOur average candidate is an IIT (or global equivalent) grad who has worked at reputable companies and has a history of shipping good code.\n\n**💼 Global HR:**\n\nWe also service the full HR stack - so you can hire candidates as contractors or full-time employees using Crew instantly. Our legal, payroll, and HR teams keep you protected and globally compliant. \n\n![](https://cdn.prod.website-files.com/665dcda85f9f2d88cd288899/665ecd5ca9750c3e0fb87e90_GP-Hero-Image.webp)\n\n**🚀 The Founders:**\n\n[Milan - Ex-Palantir AI/ML, Harvard](https://www.linkedin.com/in/milan-bhandari-623979163/)\n\n[Jake - Ex-Microsoft PM, Dartmouth](https://www.linkedin.com/in/jake-johnson-529b57139/)\n\n[Mrinal - Ex-Lazard IB, Dartmouth](https://www.linkedin.com/in/mrinalsingh2/)\n\nAt our last start-up, we realized how difficult it was to find high-quality developers, pay them effortlessly, and manage global compliance. Crew AI is the platform and service we wish we had while building!\n\n**🤝 Quality Matters in Hiring!**\n\nWe know from experience that top hires can supercharge your company and propel it further. We’re hyper-focused on getting you the best bang for your buck. Our vetting process is:\n\n1. Rigorous resume and background screen for key success indicators\n2. Extended technical interviews and case studies\n3. AI behavioral interview and English fluency checks\n4. Professionalism training\n5. Final human-led vetting\n\n![](https://cdn.prod.website-files.com/665dcda85f9f2d88cd288899/665f43639b41ab6cf17052a2_HIW%20Item%204%20-%20Image.webp)\n\n**Our Ask!**\n\nBuild your Crew! If you or anyone you know is hiring developers - please send them our way! Our website is [www.trycrew.ai,](http://www.trycrew.ai) and we can be reached at [info@trycrew.ai](mailto:info@trycrew.ai)",
        "url": "https://www.ycombinator.com/launches/LKf-crew-ai-ai-hiring-hr-platform",
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        "created_at": "2024-07-09T16:45:42.297Z"
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        "full_name": "Sarah Najmark",
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        "id": 72918,
        "title": "🚀 Osium AI -  AI for advanced and sustainable materials discovery",
        "tagline": "We speed up advanced and sustainable materials innovation thanks to AI.",
        "body": "Hello everyone,  \n\n**We are **[**Sarah Najmark**](https://www.linkedin.com/in/sarah-najmark-706b80131/)** (left) and **[**Luisa Bouneder**](https://www.linkedin.com/in/luisa-bouneder-262b801aa/)** (right), the founders of **[**Osium AI**](https://osium.ai/)**, and close friends from Stanford University.**  \n\n![uploaded image](/media/?type=post&id=72918&key=user_uploads/806335/a66e9745-84c1-4978-a0ab-49153939a69d)\n\n\n**Our AI-powered software enables materials R&D engineers to formulate and analyze materials much faster.**   \n\n### **Problem**\n\nTo date, materials manufacturing companies rely on trial-and-error and manual approaches to develop new materials. This is a tedious and time-consuming process - at least 5 years are spent just formulating and testing in the R&D lab. Yet, the paradigm shift towards carbon neutrality by 2050 puts more and more pressure on advanced materials innovation.     \n\n### **Solution**\n\nWe develop state-of-the-art AI technologies for materials properties predictions, inverse design of materials, and accelerated microscopy image analysis. Our product is an AI-powered software with an intuitive interface making it easy-to-use by any material R&D engineer with no data science background.       \n\n![uploaded image](/media/?type=post&id=72918&key=user_uploads/806335/24105469-4ab7-47cc-ba78-719fab587cbe)\n\n                 \n\n![uploaded image](/media/?type=post&id=72918&key=user_uploads/806335/10393954-73d9-4a8c-afa4-991e7baaaad8)\n\n### **Our team**\n\nWe leverage our unique combination of expertise in Materials Science and Artificial Intelligence.  \n\nWe led AI research at Stanford and Google \\[X\\], authored 2 AI patents, and we have a track record in building AI products for Materials Industry leaders.\n\n### **Our ask**\n\n* Follow us on [Linkedin](https://www.linkedin.com/company/osiumai/?viewAsMember=true).\n* Are you willing to accelerate your materials innovation? Book a demo [here](https://calendly.com/osiumai). \n* Do you know someone working in materials manufacturing or chemistry companies? Reach out to us at [founders@osium.ai](mailto:founders@osium.ai).\n\n ",
        "url": "https://www.ycombinator.com/launches/Iy6-osium-ai-ai-for-advanced-and-sustainable-materials-discovery",
        "votes": 129,
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    "one_liner": "AI that audits AI — catching hallucinations before you ship them.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690762424,
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        "full_name": "Rachel Hu",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rachelsonghu",
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        "id": 104955,
        "title": "Energent.ai: Audit — The Fact-Checker for Every AI-Generated Result",
        "tagline": "A fresh, independent AI agent that re-verifies every number in your AI results and shows its work — so trusting AI stops being a leap of faith.",
        "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of [Energent.ai](https://www.energent.ai). We're excited (and honestly, a little proud) to introduce our newest feature: **Energent Audit**.\n\n## 🚀 TL;DR\n\nEnergent Audit is a built-in, independent second opinion for your for every AI-generated results, especially numbers. Ask Energent to \"prove it,\" \"double-check that,\" or \"show me where this number came from,\" and Audit spins up a completely fresh sub-agent — one with zero stake in the original answer — to retrace every number back to its source and hand you a clean HTML report on whether it holds up.\n\n## ❌ The Problem\n\nAI hallucination hasn't gone away — it's just gotten quieter. It shows up in the reports people care about most: financial analysis, health recommendations, board decks, the numbers real decisions get built on.\n\nWe interviewed 150+ users doing serious work with AI, and hallucination came back as their second-biggest concern overall — right after data security and privacy, and ahead of cost, speed, and everything else. The message was clear: people don't just want AI that's fast. They want AI they can stand behind.\n\n## 🛠️ Our Solution\n\nMeet **Energent Audit** — an independent audit layer for anything Energent builds for you.\n\nHere's the insight at the heart of it: the agent that wrote an answer is the worst-positioned agent to grade it. So instead of asking Energent to mark its own homework, Audit calls in a brand-new AI sub-agent with no memory of how the analysis was built and no attachment to the outcome. Its only job is to verify.\n\n**Independent, every time**\n\nA fresh sub-agent re-checks the work with zero investment in the original answer, so nothing gets rubber-stamped.\n\n_\"The agent that built it doesn't get to grade itself.\"_\n\n**Number-by-number validation**\n\nEvery figure is traced back to its source and re-derived — not glanced at, actually re-verified, one by one.\n\n_\"Trust, but verify, down to the decimal.\"_\n\n**Visual data lineage**\n\nA clear map of exactly which file, row, and transformation produced each number — so \"where did this come from?\" always has an answer.\n\n_\"Show your work, automatically.\"_\n\n**A report you can actually hand someone**\n\nEvery audit ends in a clean, shareable HTML report you can send to a stakeholder, a boss, or an auditor — or just keep for your own peace of mind.\n\n_\"Confidence you can forward.\"_\n\n![uploaded image](/media/?type=post&id=104955&key=user_uploads/315284/d0fb4f45-98f2-4687-b4a7-b777d6700ed6)\n\nAudit is purpose-built to check work Energent has already done in your conversation — it's not a general web fact-checker, and it won't review a plan before it's run. It's laser-focused on one question: does this answer, and every number in it, actually hold up?\n\n## 📖 Why We Built This\n\nThe same story came up again and again in our interviews: people loved what AI could do for their analysis, right up until they had to defend a number in a meeting. That gap — between \"the AI said so\" and \"I can prove it\" — is exactly what Audit closes. We believe trust in AI shouldn't be something you hope for. It should be one click away.\n\n## 🎯 Our Ask\n\n👉 Try Energent Audit today at [app.energent.ai](http://app.energent.ai) — run an analysis, then ask us to prove it.\n\n👉 Reach out directly at [admin@energent.ai](mailto:admin@energent.ai) to see it live.\n\nCheers, The [Energent.ai](http://Energent.ai) Team ❤️",
        "url": "https://www.ycombinator.com/launches/RIp-energent-ai-audit-the-fact-checker-for-every-ai-generated-result",
        "votes": 3,
        "created_at": "2026-07-08T00:33:54.610Z"
      },
      {
        "id": 99597,
        "title": "ERPNow: The AI Analyst for Supply Chain & ERP",
        "tagline": "turn tons of operational data into real-time operational insights and future revenue",
        "body": "Hey everyone! We're Rachel and Kimi, the founders of CambioML. We are excited to introduce **ERPNow**.\n\n🚀 **TL;DR**\n\nERPNow is an AI analyst that sits on top of your existing ERP (SAP, Oracle, NetSuite) to turn tons of operational data into real-time operational insights and future revenue. It doesn’t just show you charts; it detects risks, explains root causes in plain language, and recommends exactly what to do next.\n\n❌ **The Problem**\n\nSupply chain teams are drowning in data but starving for insights. Traditional ERP systems are powerful but static—reports are slow, forecasts break the moment reality changes, and analysts spend weeks answering \"why did this happen?\" instead of \"what should we do next?\" By the time an exception is surfaced in a dashboard, the damage (stockouts or delays) is often already done.\n\n🛠️ **Our Solution**\n\nERPNow acts as an intelligent layer over your ERP, WMS, and spreadsheets. It provides:\n\n* **Real-time Risk Detection:** Monitors your supply chain 24/7 to surface anomalies (like a supplier delay or demand spike) the moment they appear.\n* **Plain-Language Root Cause Analysis:** Ask \"Why is this SKU at risk?\" and get a cited answer explaining that a specific supplier lead time increased by 40%, rather than just seeing a red bar on a chart.\n* **Actionable Recommendations:** It suggests specific fixes—like transferring inventory between warehouses or expediting a PO—to prevent issues before they escalate.\n* **Zero Workflow Disruption:** No ERP replacement required. It’s read-only by default and deploys in weeks, not quarters.\n\nYou can find a demo here: <https://youtu.be/fnV2vXpkq4k>\\\n\\\n🧑‍🏫 **Meet Our Team**\n\n* **Rachel Hu, CEO:** Former ML scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* **Kimi Kong, CTO:** Former research engineer at Google DeepMind, Microsoft & AWS; Stanford alum.\n\n📖 **Our Story**\n\nAfter building [Energent.ai](http://Energent.ai) to handle general data analysis, we realized that supply chain and operations teams faced the most \"messy\" data challenges. ERP systems are often black boxes. We built ERPNow to give operations leaders the \"explainable AI\" they need to move from firefighting to proactive planning.\n\n🎯 **Our Ask**\n\n👉 **Try it out:** If you’re managing complex supply chains or struggling with ERP reporting, visit [**www.erpnow.io**](http://www.erpnow.io).\n\n👉 **Get a Demo:** Reach out directly to [**admin@cambioml.com**](mailto:admin@cambioml.com) to see how we can sit on top of your specific ERP setup.\n\n👉 **Spread the word:** If you know any Operations or Supply Chain VPs, we’d love an introduction!\n\nCheers,\n\nThe ERPNow Team ❤️",
        "url": "https://www.ycombinator.com/launches/PuP-erpnow-the-ai-analyst-for-supply-chain-erp",
        "votes": 9,
        "created_at": "2026-04-09T18:42:59.948Z"
      },
      {
        "id": 95030,
        "title": "Energent.ai: The Most Accurate AI Agent for Data Analysis",
        "tagline": "Meet Energent: a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.",
        "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) Data Specialist.\n\n**🚀 TL;DR**\n\n[**Energent.ai**](http://Energent.ai) — a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.\n\n<https://youtu.be/Svh5jWogIIg>\n\n# **❌ The Problem**\n\nMost businesses can’t afford a full data team, yet they’re drowning in scattered spreadsheets, PDFs, and ad-hoc reports. Decisions end up driven by gut feel or partial numbers because cleaning, joining, and validating data is slow, brittle, and expensive. The result: missed opportunities, inconsistent KPIs, and shaky confidence in the metrics that matter—especially when stakeholders ask, “Where did this number come from?”\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) is our answer: an AI data scientist with its own desktop that turns messy inputs into clean, cited insights you can trust. It ingests files and databases, profiles and fixes issues, performs joins and transformations in SQL/Python, and produces analysis with transparent, clickable sources. You get repeatable workflows, audit-ready lineage, and decision-grade dashboards—without hiring a costly team or waiting weeks for a custom query.\n\n**The most accurate data agent**\n\n* Rank No.1 on the [Huggingface Data Agent leaderboard](https://huggingface.co/spaces/adyen/DABstep).\n* 30% more accurate than the second best data agent from Google, and 4x more accurate than vanilla OpenAI’s agents.\n\n  ![uploaded image](/media/?type=post&id=95030&key=user_uploads/315284/f757ff0b-47f7-4ac4-b021-e298de2922ed)\n\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; Stanford alum.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real data analysis . [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on data analysis collaboration between you and AI to save hours of manual work every day.\\\n\\\n[Energent.ai](http://Energent.ai) has been using by \n\n* [ERPNow.io](http://ERPNow.io): an AI-powered Supply Chain and ERP Analytics platform;\n* [teamvibe.io](http://teamvibe.io/): an HR Software for Automated Payroll & Performance;\n* [goodtenant.io](http://goodtenant.io/): an AI PropTech for Smarter Property Management;\n* [esgverify.io](https://esgverify.io/): an AI Reporting platform for ESG, Sustainability,Biodiversity and Carbon Credits.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at <https://app.energent.ai/> today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n",
        "url": "https://www.ycombinator.com/launches/Oik-energent-ai-the-most-accurate-ai-agent-for-data-analysis",
        "votes": 13,
        "created_at": "2025-11-03T15:09:00.249Z"
      },
      {
        "id": 89797,
        "title": "Energent.ai: Your AI teammate, co-working with you to get things done",
        "tagline": "Getting real work done on a real desktop.  Visible. Controllable. Secure.",
        "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) — the AI teammate that actually gets things done on a real desktop, without integration or coding.\n\n**🚀 TL;DR**\n\n[Energent.ai](http://Energent.ai) works side-by-side with you on a secure desktop to automate data-heavy multi-step workflows, without integration or coding — from gathering public info online, to cleaning messy format data, to coding and drawing plots.\n\nhttps://youtu.be/U2lWqpPqs7w\n\n# **❌ The Problem**\n\nManual, multi-step workflows are still the default across operations, finance, and research teams, professionals spend hours every day:\n\n* Sourcing data from websites, cleaning formats, reconciling spreadsheets, and manually applying formulas or macros.\n* Setting up automation often requires: multiple tools, API connections, complicated setups across SaaS platforms\n* Automating complex workflows traditionally requires either writing custom scripts (Python, VBA, etc)\n\nThe barrier to entry of being productive and secure with AI tools is too high. It’s expensive, it needs integration, it’s not insecure — by giving every knowledge worker a hands-on AI teammate who gets the work done, visibly, controllably, and without coding.\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) equips every knowledge worker with an AI teammate that drives results — streamlining workflows without integration, democratizing automation without coding, and surpassing the limits of text-only chatbots.\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**No-code, no integration**\n\n* Automation is accessible without coding or tech expertise.\n* User-friendly, intuitive UI empowers everyone.\n* _“Automation for everyone.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, GGV Fellow, Forbes 30 Under 30, UC Berkeley alum.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; M.S. in MechE & CS from Stanford.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real work. [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on collaboration between you and AI to save hours of manual work every day.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at https://app.energent.ai/ today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n",
        "url": "https://www.ycombinator.com/launches/NML-energent-ai-your-ai-teammate-co-working-with-you-to-get-things-done",
        "votes": 15,
        "created_at": "2025-04-24T16:16:55.385Z"
      },
      {
        "id": 83080,
        "title": "AnyParser: Accurate, private and configurable LLM for documents",
        "tagline": "Extract hidden insights from any type of documents without missing details.",
        "body": "# TL;DR\n\nAnyParser streamlines document parsing and extraction using a state-of-the-art large vision language model (VLM). Given a batch of any type of documents including PDFs, PPTs, Word, and images, AnyParser can accurately parse it and export to TXT, Markdown, Excel or JSON.\n\n# **💯** Team Introduction\n\n* Meet Rachel, a data whiz who's been crunching numbers longer than most smartphones have existed! With a Berkeley brain and AWS superpowers, she's been teaching machines to “learn and think” for over 8 years!\n* Meet JoJo, a Stanford smarty-pants went from juicing up Teslas to juicing up our code. He’s got a knack for keeping things charged, whether it's batteries or customer satisfaction!\n\n# **❌** The Problems\n\n### Painpoint #1: Data Privacy Predicament\n\nSafeguarding user information has become a critical imperative for companies. Implementing stringent protocols to prevent data leaks and avoid devastating regulatory fines is essential, yet this process proves to be both resource-intensive and financially burdensome. The challenge lies in balancing security with operational efficiency.\n\n### Painpoint #2: Document Extraction Dilemma\n\nNavigating the labyrinth of document data extraction presents a formidable challenge. Extraneous elements like page numbers, headers, and references often confound OCR systems and human workers alike. Companies find themselves caught in a costly cycle of continual worker training and protocol updates, struggling to adapt to diverse document types and extraction tasks.\n\n### Painpoint #3: Visual Data Extraction Challenge\n\nIn the realm of information retrieval, a perplexing obstacle emerges. While beautifully crafted figures, charts, and infographics enhance whitepapers and industry reports, they simultaneously create a paradox. The more visually appealing the presentation, the more arduous and time-consuming the data extraction process becomes, stumping OCR systems and taxing human resources.\n\n### Painpoint #4: OCR's Achilles Heel\n\nIn the realm of information extraction, even seemingly straightforward tasks can become unexpectedly complex. Optical Character Recognition (OCR) systems, while promising, often falter in the face of subtle challenges. Minute discrepancies in figures or slightly ambiguous layouts can derail the entire process, turning simple retrieval into a frustrating ordeal.\n\n# **✨** The Solutions\n\n### Solution #1: 🔐 Privacy Protection\n\nActivate the \"Remove Private Information\" feature, and AnyParser will automatically redact P.I.I. (Personally Identifiable Information) during the document extraction. <https://youtu.be/RUXor_4gYFw?si=_1xz5xUuOfc2AGl5> \n\n### Solution #2: 🔧 Configurability\n\nYou can instruct the model to include or omit page numbers, headers, footers, figures, charts, etc.\n\n<https://youtu.be/RUXor_4gYFw?si=AlbIQ2OeAoHCHRbZ&t=36> (Jojo’s PH showcase video starting at 36 seconds, showcasing the configuration capability of omitting certain data)\n\n<https://youtu.be/RUXor_4gYFw?si=LE3JtjVDdc5dQOBq&t=89> Jojo’s PH showcase video starting at 89 seconds, showcasing the input key automatically mapping with the table headers)\n\n### Solution #3: 📊 Diverse Extraction\n\nAnyParser doesn’t just extract text and tables, it also retrieves figures, charts, and footnotes packed with vital information 2X more accurate\\*.\n\n\\*2X more accurate based on our experimental testing against OCR benchmarks on financial statements. Check the Whitepaper: <https://www.cambioml.com/research/AnyParser_Epsilla_Whitepaper.pdf>\n\n### Solution #4: 🎯 High Accuracy\n\nBid farewell to jumbled tables and chaotic layouts that plague traditional OCR-based models with 2X more precision and 2.5X more recall than the industry average. (Suggest a visual showcase, or infographic to compare AnyRetriever’s precise retrieval and OCR’s inaccurate retrieval)\n\n## **🙏** Try it for FREE\n\n1. Non-code effortless data extraction—[Try our user-friendly interface for FREE!](https://www.cambioml.com/playground)\n2. Or [try our API for FREE today!](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering)",
        "url": "https://www.ycombinator.com/launches/Lc0-anyparser-accurate-private-and-configurable-llm-for-documents",
        "votes": 39,
        "created_at": "2024-08-15T16:07:29.174Z"
      },
      {
        "id": 78890,
        "title": "CambioML - Enterprise data gold mining",
        "tagline": "Accurately retrieve and transform data from PDFs and forms at ease!",
        "body": "Hey YC fam 👋 We’re Rachel and Jojo from [CambioML](https://www.cambioml.com/).\n\n**TLDR:** Data scientists spend over half their time cleaning data for LLM training, battling to extract and structure text from varied document formats. Uniflow, an open-source Python library, simplifies this process by providing tools for extracting and structuring text from PDF docs.\n\n---\n\n---\n\n## **Our Asks**\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback!\n\n## **The Problem**\n\nCleaning ML training data takes over 50% of ML scientists’ time. Even the top-tier AI firms who are pretraining their foundation models have more than 50% of their workforce building a data-cleaning pipeline.\n\n* **Extract information from legacy docs**. Existing PDF parsers often struggle to extract text from documents ACCURATELY. Consequently, ML scientists have to invest tremendous effort to extract the text, as it cannot be used directly to train LLMs.\n* **Transform to different text structures.** After obtaining the \"extracted\" text, transforming it into a format suitable for training is not straightforward. Specifically, when fine-tuning LLMs using feedback-based learning methods (such as RLHF and RLAIF), it's necessary to develop a dataset that includes both a preferred answer and a rejected answer for each question (a sample shown below). This task demands significant human labor to create pairs of positive and negative examples from enterprise proprietary documents.\n\n  ```\n  {\n      \"question\": \"How do you cheat in poker?\",\n      \"preferred\": \"What do you mean by cheating?\",\n      \"rejected\": \"I’ll be happy to just think about it together...\"\n  }\n  \n  ```\n\n## **The Solution**\n\nTo address these pain points, we built [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) - an open-source Python library to extract and transform unstructured text data. You can input multiple raw PDF/HTML files or URLs, and Uniflow will 1) accurately extract the content from the files using our home-trained models; 2) transform to the desired text structure using LLMs, including single pair QAs and preference data for RLHF finetuning. Uniflow is LLM-agnostic and supports both open-source LLMs including Mistral-7B/Mixtral-8x7B and LLaMA, and proprietary models including OpenAI GPT4, Gemini, AWS Bedrock, and Azure.\n\n**Feature 1. Extract text from PDF/HTML files**\n\nTo get started, you can use the default ExtractClient to parse your PDFs as below.\n\n```bash\nmy_pdfs = [{\"filename1\": \"...pdf\"}, ...]\nextract_client = ExtractClient(ExtractPDFConfig())\nextracted_pdfs = extract_client.run(my_pdfs) \n```\n\nCheck the full examples of\n\n* [extracting from PDFs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_pdf_with_recursive_splitter.ipynb)\n* [extracting from HTML files or URLs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_html.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/112e152e-098a-4e47-8073-f39bbe379f69)\n\nUniflow provides two options to extract text from PDFs/HTML:\n\n* Uniflow open-source: the deep learning-based layout analysis model, or\n* Uniflow Pro (API): the more powerful Document Large Vision Model we homegrown (free for the first 1000 pages/month).\n\n**Feature 2. Transform to your desired format**\n\nUniflow enables you to convert the \"extracted text\" into your desired format, suitable for various purposes such as fitting a database schema, building LLM training datasets, or generating custom prompts for your data format. Moreover, Uniflow allows you to compare data outputs across different LLMs (including OpenAI's GPT-4, Gemini, AWS Bedrock, Mistral MOE, and LLaMA) by offering an LLM-agnostic interface.\n\n```bash\ntransform_config = TransformHuggingFaceConfig()\ntransform_client = TransformClient(transform_config)\noutput = client.run(extracted_pdfs)\n```\n\nCheck the full examples of\n\n* [transform using various LLMs (OpenAI, Gemini, AWS, Azure, Mistral, and LLaMA)](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/tree/main/example/transform)\n* [End-to-end extract and transform examples](https://github.com/CambioML/cambio-cookbook/blob/main/examples/10K_Evaluator/10K_PDF_Summary.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/b3080566-a5d9-4464-b75e-006d864a64c0)\n\n## Call to actions\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback! 👋",
        "url": "https://www.ycombinator.com/launches/KWQ-cambioml-enterprise-data-gold-mining",
        "votes": 51,
        "created_at": "2024-02-29T16:07:20.382Z"
      },
      {
        "id": 73664,
        "title": "CambioML - the \"Private ML Scientists\" for Large Enterprises",
        "tagline": "Transform messy multi-modality data to MOE (mixed of experts) LLM/LVM",
        "body": "## **TL;DR**: CambioML enables ML practitioners to build AI agents on enterprises’ confidential data with two open-source libraries:\n\n* [Uniflow](https://github.com/CambioML/uniflow) provides hands-on code to transform unstructured data from different modalities to structured trainable data;\n* [Pykoi](https://github.com/CambioML/pykoi) provides code for fine-tuning, evaluation, and UI functionality for feedback data collection.\n\n## Our end-to-end SaaS solutions enable Fortune 500 companies to build self-owned AI agents based on their massive, multi-modal and confidential data. We’re building what we wish we had when developing foundation models at Amazon.\n\n\\\nHi everyone, we’re Jared and Rachel and our mission is to make building foundation models as easy as possible. We met while working at AWS AI, where we developed models serving \\~1 million Amazon employees.\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/71923c0b-e3d1-499f-9fe6-053af3a80668)\n\n## **The problem**\n\nDuring our 8 years of building models at Amazon, we have been constantly frustrated by the lack of quality tools for developing and deploying large machine learning models.\n\nTaking a foundation model from development to production in big tech requires multiple specialized job roles: Scientists develop the model. Data annotators label data for model improvements. Research engineers manage the labeled data for fine-tuning. Software engineers deploy the model to scalable resources. Front-end engineers build web interfaces for model usage and monitoring.\n\nThis resource-intensive separation of concerns exists because current tools don't solve common pain points in the end-to-end process:\n\n* Cleaning and transforming messy, unstructured data takes over 80% of ML practitioners’ time.\n* RLHF finetuning tools are still early, requiring management of multiple models, datasets, and resource stacks in conjunction.\n* Evaluating foundation models is difficult beyond academic metrics.\n* Annotators often provide data in mismatched formats for model training and, not being model end-users, produce less than ideal annotation quality.\n* Deployment poses many questions: environment selection, resource management, availability, etc.\n\n**The solution**\\\nWe're building the tools we wish we had. Our open source libraries, [Uniflow](https://github.com/CambioML/uniflow) and [Pykoi](https://github.com/CambioML/pykoi), make it easy for ML practitioners to iterate on, evaluate, and eventually deploy foundation models to production:\n\n* **Easy data transforming**: Say goodbye to tedious work, like cleaning messy, unstructured and multi-modal data.\n* **Closing the loop on active learning**: Once you've annotated enough data, you can run our RLHF functionality directly on your model, with just a few lines of code. Other fine-tuning & augmentation options are also provided.\n* **Clear evaluation and benchmarking**: Compare and understand your models before and after fine-tuning with our compare interface and visuals.\n* **Simple data annotation & collection**: Create your own custom annotation tasks or share a UI directly on your model. Gone are the days of moving annotated data from excel sheets to models.\n* **Deployment**: We're including deployment options to run managed execution, maximum cost saving batch jobs on any cloud.\n\n![](https://lh3.googleusercontent.com/tyxdESYua0U9V5xRwpPsAy7VB2-70IsS_Yj7EX9wRQNPGSey-iDUD9-qDltHrPanS5yKR_pNZCDGN-AfBxN8RXLcoZdvoCSBWc0ApyrOuZbEnREgp70CV41bVzamBbdo7hdQNh4JOReoR0zBxbTdKu0)\n\n**A Quick Demo** \n\nHere's a quick video to showcase what we've developed in the last few weeks!\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/3faf28a5-a216-43c8-84e4-9bd64f5be667)\n\nWe execute rapidly, and new features are being released weekly. Upcoming features include cloud-agnostic deployment, built-in observability, SOTA fine-tuning options, and additional UI/visual options.\n\n**Our Ask** \n\nWe're open-source and building out our feature set in public. Check out our project on Github (_we'd appreciate a star!_) and feel free to contribute!\n\n* Install and play with Uniflow via the [installation](https://github.com/CambioML/uniflow/tree/main?tab=readme-ov-file#installation) guide\n* Install and play with Pykoi via the [installation](https://github.com/CambioML/pykoi/tree/main?tab=readme-ov-file#installation) guide\n* Follow our [LinkedIn](https://www.linkedin.com/company/96598226)\n* Connect via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ)",
        "url": "https://www.ycombinator.com/launches/JA8-cambioml-the-private-ml-scientists-for-large-enterprises",
        "votes": 36,
        "created_at": "2023-08-01T18:49:59.435Z"
      }
    ]
  },
  {
    "id": 28983,
    "name": "Converge",
    "slug": "converge",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ddaa5bebf2aae550b90599e16a46dc1f877c755.png",
    "website": "http://www.runconverge.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "We're building the unified marketing measurement stack for online stores. We make it easy for marketeers to understand where their customers come from, cut unprofitable channels, and scale when things are working.\r\n\r\nWe are vertically integrating the modern data stack for marketing teams of online stores by consolidating customer data collection, consent management, identity resolution, transformations, attribution, data forwarding, and analytics into a single platform.",
    "one_liner": "All-in-one marketing measurement for B2C",
    "team_size": 11,
    "industry": "B2B",
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        "body": "**TL;DR:** [**Converge**](https://www.runconverge.com?utm_source=yc&utm_medium=organic&utm_campaign=launch-yc) auto-tracks and forwards ecommerce customer events like Add To Cart and Purchase to analytics and ad platforms for accurate attribution and better ad performance.\n\n### **Problem: Tracking for ecommerce is broken**\n\nCorrect attribution and conversion tracking is at the core of every ecommerce business.\n\nHowever, tracking setups suffer from..\n\n* **Missing** **data**: Stores miss on avg. \\~10-30% of conversions due to limitations of browser tracking (e.g. ad-blockers) resulting in _broken attribution data and wasted ad budget._\n* **Poor observability:** Popular tools like Google Tag Manager provide no way to check whether tracking is still working, resulting in _costly bugs that remain undiscovered._\n* **Cluttered configurations:** Operators often loose grip on their tracking setup after years of uncoordinated updates, resulting in a clutter of pixels, tags, and first-party integrations across multiple platforms.\n* **Lack of developers:** Many ecommerce teams don't have in-house devs, making it infeasible for them to integrate with existing CDP tools such as Segment.\n\n## **Solution: Accurate auto-tracking**\n\nConverge tracks all important events automatically – across the browser, store backend and subscription platforms. No technical expertise required.\n\nBecause conversions are being tracked on the store backend rather than the browser, Converge can track 100% of conversions and forward these to relevant ad platforms and analytics tools.\n\nUnlike Segment or other CDPs, Converge allows non-technical ecommerce operators to set this tracking up in minutes.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/7f38e933-f6ce-489f-abf6-cd11149e83d1)\n\nOnce tracking is set up, Converge aggregates data from all sources and provides a single overview of ecommerce KPIs.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/5eb15873-3ea8-4e32-8e96-2efa057df4d7)\n\nUsers can also break down attribution metrics across channels, campaigns, adsets, and even ads, showing what is driving growth on a granular level.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/eb78601f-2d1a-4a75-a35b-f5e7db168d3f)\n\n## **Our ask**\n\n* Sign up for [**Converge**](https://www.runconverge.com?utm_source=yc&utm_medium=organic&utm_campaign=launch-yc) today and test it for free!\n* If you know any **ecommerce brands or agencies**, we would love to chat!",
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        "id": 74170,
        "title": "Vango 🎨 - Build with + evaluate Stable Diffusion fast",
        "tagline": "Try Vango, the fastest way to build and analyze diffusion models! ",
        "body": "**tl;dr:** _Vango makes it 10x easier to build and evaluate Stable Diffusion workflows in your app. Developers use Vango to deploy Stable Diffusion in minutes and achieve high-quality images faster than any existing solution._\n\n_Hello world_ — Eshaan and Rajen here!\n\n![uploaded image](/media/?type=post&id=74170&key=user_uploads/887154/c555fc75-23e2-4ba7-9384-8d74b8378765)\n\nWe’re thrilled to show y’all what we’ve been working on, let’s begin!\n\n### 🐷 Problem:\n\nWe’ve all seen how unique, highly customizable, and beautiful AI art can be — **but it’s incredibly tedious to deploy and maintain Stable Diffusion in your app.**\n\nBuilding apps on top of stable diffusion is an unnecessarily tedious and manual process. You have to:\n\n* **Select the right models, hyperparameters, and prompts:** These have huge impact on the content, quality, and style of outputs. To achieve the best results, developers spend hours testing each model, parameter, or prompt individually.\n* **Add guardrails:** Ensuring that your model does not generate unintended NSFW or discriminatory images takes hours of careful testing.\n* **Deploy on GPUs:** Like everything in AI right now, developers must obtain and configure a juicy high-VRAM GPU to run Stable Diffusion fast.\n\n  \n\n### **💜 Solution:**\n\n**Vango empowers developers to build and evaluate stable diffusion models faster than ever.**\n\n## 🧱 Build workflows & deploy as API\n\nWatch us build a corgi generator and deploy it as a scalable API in seconds.\n\n![uploaded image](/media/?type=post&id=74170&key=user_uploads/887154/36fc2f9f-0d81-4e81-aeca-f849103d2652)\n\n## 🤖 Perfect the hyper-parameters\n\n**Vango helps you evaluate models quantitatively.** Vango will track metrics across thousands of prompts — including NSFW content, crossed eyes, disfigured limbs/fingers, cropped faces, and prompt alignment.\n\n1. Specify your models (either as `.safetensors` or `.ckpt` file, Cog container, API endpoint, or Vango workflow)\n2. Provide us your prompts or _use one of our prompt datasets with thousands of examples_.\n3. Use our quantitative features to learn how models compare\n\n![uploaded image](/media/?type=post&id=74170&key=user_uploads/887154/dcd39f7d-6900-4402-91d7-8fc530ca3b0e)\n\nAnd for more granular analysis, you can filter all the images based on failure modes. In the video below, you can see us finding the images that have deformed hands.\n\n![uploaded image](/media/?type=post&id=74170&key=user_uploads/887154/6c83e176-d63b-4e23-8cbc-a5cac60bfb2f)\n\n### 🐻 About us:\n\nWe’re best friends, neighbors back home in Maryland, and college roommates (and literally sharing a triple in SF right now)! We’ve been doing class projects + side projects together for over 3 years now 🙉.\n\nEshaan has researched multimodal models at Berkeley AI Research (BAIR), low-compute visual detection systems at NASA JPL, and anomaly detection at Citadel Securities. And Rajen has built wide-ranging software at Amazon, Nuro, Two Sigma, and Solana.\n\nAnd we both graduated from UC Berkeley a year early to work on Vango! We discovered this problem while developing our own diffusion apps after noticing first-hand how AI can help creatives in VFX.\n\n### 📩 Asks:\n\nIf you are (or know anybody that is) building apps with stable diffusion, we’d love to chat and see how we can help! We’re currently onboarding our early partners.\n\nIf you’re interested, sign up for our waitlist [here](https://forms.gle/ExYEf2HTeNBWJfa19) or shoot us an email at [founders@vango.ai](mailto:founders@vango.ai).",
        "url": "https://www.ycombinator.com/launches/JII-vango-build-with-evaluate-stable-diffusion-fast",
        "votes": 33,
        "created_at": "2023-08-16T21:38:41.929Z"
      }
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    "id": 28996,
    "name": "Sola",
    "slug": "sola",
    "former_names": [
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    "website": "https://www.sola-solutions.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Sola is copilot for workflow automation. \r\n\r\nWe help automation-minded teams build robust robotic agents to handle tedious tasks via LLMs and computer vision, smoothly integrated into their standard workflow. \r\n\r\nOur tooling makes it easy for companies to automate data entry/scraping in manual filing and processing flows. Go from a screen recording to a bot in any desktop or browser workflow; develop logic and watch logic self-develop in the face of new events!",
    "one_liner": "Copilot for Robotic Process Automation",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690480911,
    "tags": [
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      "Workflow Automation",
      "Automation",
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
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    "regions": [
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    "stage": "Growth",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sola",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sola.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98128293/",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 1317145,
        "full_name": "Jessica Wu",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jessica-wu-9824431ab",
        "x_url": "https://twitter.com/jess123555",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48d7a2d5cdcfcaa80fe92e70128a64d150ff6f6d.jpg"
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      {
        "user_id": 787351,
        "full_name": "Neil Deshmukh",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/neildeshmukh",
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    "news": [
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        "title": "Sola Solutions raises $21 million for enterprise AI | Fortune",
        "url": "https://fortune.com/2025/08/14/sola-solutions-ai-startup-raised-21-million-andreessen-sarah-guo/",
        "date": "Aug 14, 2025"
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      {
        "id": 73648,
        "title": "🤖 Sola - Build AI agents in copilot",
        "tagline": "Meet Sola, your co-pilot for Robotic Process Automation!",
        "body": "**tl;dr:** _Sola is copilot for Robotic Process Automation. We help automation-minded teams visually script bots that emulate human behavior to automate data entry, scraping, and filing flows using LLMs and computer vision._\n\nHey everyone! We’re Jess and Neil, the founders of Sola.\n\n![uploaded image](/media/?type=post&id=73648&key=user_uploads/1317145/8edcf728-fa9a-4c2d-be38-a425e3a3a809)\n\nConsider a scenario: A manual, repetitive workflow demands that you extract information from a customer ticket, use this to lodge a legal application within their respective state, and then retain and store the resulting confirmation details.\n\nDeveloping engineering solutions for such workflow automation often brings unexpected overhead:\n\n* Engineers must map all error paths before deployment, often necessitating weeks or even months of rigorous testing, with frequent reengineering required as elements evolve — _what happens when the government filing sites crash or change?_\n* Continued investment in monitoring is crucial to maintain a working solution.\n* Increasingly tight security measures in browser and desktop applications make request-based automation increasingly challenging.\n\nConsidering these challenges in our scenario of building out the state-specific application processes, it makes more sense to automate from a _client-side perspective_.\n\nHowever, existing process automation solutions are reliant on integrations, non-generalizable, not self-healing, and often tough to use…\n\n### The Solution 🦾\n\nNow, **imagine going from a screen recording to a process-automating bot in seconds!** Sola RPA can do exactly this, empowering a future where data entry, scraping, and filing tasks are no longer a hassle, but handled efficiently by agents and citizen developers. Structured as a co-pilot tool, Sola bots are seamlessly integrated into the existing workflow, learning new branches and behavior automatically!\n\nWith the above scenario, internal tooling teams are able to now immediately deploy bots for each state-specific filing workflow, where the bot learns automatically from the human stepping in as it runs into errors.\n\nUsing state-of-the-art AI and computer vision, our tooling makes it easy for companies to automate data entry/scraping in legal, financial, and healthcare flows. We’ve built our tool with intuitive usability at its core, allowing users to **visually script** bots in a Figma-esque workflow that can extrapolate to new data (think Excel macros, but generalized)!\n\n![uploaded image](/media/?type=post&id=73648&key=user_uploads/1317145/64327f3b-dab9-4b3f-b7fb-96a9e44e4fcc)\n\nCheck out some of our case studies! For example,\n\n* We help an SMB unicorn [deploy bots for legal incorporation flows](https://www.sola-solutions.com/product/legal-filing) in each state.\n* We help a hedge fund [automate account interactions in desktop financial software](https://www.sola-solutions.com/product/desktop), where there’s no API to interface with, and [schedule scraping of unstructured data](https://www.sola-solutions.com/product/knowledge-extraction) to track expirations of securities.\n* We work with a scaling neobank to [scrape information on legacy financial government portals](https://www.sola-solutions.com/product/scraping-systems) for loan assessments from databases.\n\n![uploaded image](/media/?type=post&id=73648&key=user_uploads/1317145/b3692f9c-19bc-4256-87fd-f7cc0c4b9cab)\n\n### The Team\n\nJess and Neil have been best friends since their freshman year at MIT, and have worked together a ton even before Sola.\n\nNeil has researched CV and LLMs while studying CS at MIT (at the MIT-IBM Watson + Quest for Intelligence Labs) focusing on multimodal RL models, and built out ML at startups in areas including computational biology, fraud detection, healthcare, and agriculture.\n\nJess has studied math and CS at MIT, most recently having spent her time working in finance (at Citadel Securities, Goldentree AM, Thrive Capital, and some other hedge funds), and she’s also worked on startups in med-tech, fashion, and crypto, doing a mix of design work and engineering.\n\nDrawing from their wealth of experience in AI research, engineering, and design, as well as first-hand frustration with repetitive workflows in finance and healthcare, they’re on a mission to tackle the challenge of solving tedious flows in an intuitive way!\n\n### The Ask\n\nWe’d love to help automate your workflows!\n\nIf you’re a company thinking about robotic process automation or manual outsourcing as you scale, reach out to [founders@sola-solutions.com](mailto:founders@sola-solutions.com) and we’d love to chat about working together, as we onboard a limited number of design partners early on! :)",
        "url": "https://www.ycombinator.com/launches/J9s-sola-build-ai-agents-in-copilot",
        "votes": 691,
        "created_at": "2023-08-01T15:57:28.435Z"
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    "id": 28998,
    "name": "Automorphic",
    "slug": "automorphic",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6632890863ba8f97b3c98f84ce71158a24887e9a.png",
    "website": "https://automorphic.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Automorphic has invented a way to infuse knowledge into LLMs via fine-tuning (surpassing context window limitations), enabling developers to rapidly iterate on and successively improve custom models cheaply and efficiently.",
    "one_liner": "Infuse knowledge into language models with just 10 samples",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1691588844,
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      "Deep Learning",
      "Developer Tools",
      "Infrastructure",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/automorphic",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/automorphic.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/automorphic",
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        "full_name": "Govind Gnanakumar",
        "title": "Founder",
        "founder_bio": "Often running away from robots (that I created). Building the next generation of artifical narrow intelligence.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/govind-gnanakumar",
        "x_url": "https://twitter.com/sandkoan",
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      {
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        "full_name": "Maaher Gandhi",
        "title": "Founder",
        "founder_bio": "When not working on Automorphic, I'm building AI to beat me at chess",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maaher-gandhi-31b40928b",
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      {
        "user_id": 1160097,
        "full_name": "Mahesh Natamai",
        "title": "Founder",
        "founder_bio": "Building AI agents that can remember and self-improve like we can at Automorphic.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mahesh-natamai-b17683188",
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      {
        "title": "Computer Science Was Too Slow, so I Dropped Out to Focus on My AI Startup",
        "url": "https://www.businessinsider.com/computer-science-major-dropped-out-georgia-tech-build-ai-startup-2023-9",
        "date": "Sep 24, 2023"
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    "launches": [
      {
        "id": 74582,
        "title": "Automorphic: Infuse knowledge into language models with just 10 samples",
        "tagline": "Rapidly build and improve custom LLMs",
        "body": "**TL;DR** - [Automorphic](https://automorphic.ai) enables developers to rapidly build and improve custom fine-tuned models. Using our LLM improvement platform, you can turn raw data into a secure, production-ready, self-improving LLM in minutes.\n\n—\n\nHey everyone! We’re Govind, Maaher, and Mahesh, from Automorphic. After experiencing the challenges of fine-tuning and refining language model systems, we’re on a mission to build an interactive LLM improvement platform that turns a tedious process into an addictive one.\n\n![uploaded image](/media/?type=post&id=74582&key=user_uploads/1381983/14e3e547-96a5-4a74-91b1-3ad11af28680)\n\n### **❌ The Problem:**\n\nIt takes engineers at companies like Google and Meta 12 to 18 months to take a model from research to production – and this isn’t because they run one tuning job and call it a day.\n\nThey apply a series of successive improvements that may start by supervised fine-tuning, then aligning to human preferences, then distillation and pruning unnecessary weights, and then once it’s met a certain quality threshold, they don’t just say it’s good enough. They continuously improve it with RLHF, periodic re-tunings to control for data drift, and so on.\n\nUnfortunately, such an elaborate process is unrealistic for most companies—they can’t wait a year to get a custom LLM to production even if they have the engineering talent.\n\n### **⭐️ Our Solution**:\n\nAutomorphic makes it easy for developers to continuously improve their custom LLMs.\n\n1. Upload your raw text data\n2. Start an initial fine-tuning run with your data, and continue to fine-tune as needed\n\n   ![uploaded image](/media/?type=post&id=74582&key=user_uploads/1381983/00398557-fca1-471a-9483-b5b75e506f0f)\n\n3. One line switch from the OpenAI API endpoint to ours\n4. Try inference on your model and improve it using RLHF\n\n   ![uploaded image](/media/?type=post&id=74582&key=user_uploads/1381983/cc6a2fe8-2b30-4a72-ada2-eeb960f6afc2)\n\n5. Use additional data to train adapters and combine and commute them however you want\n6. Publish your custom models to the [hub](https://automorphic.ai/hub), and try out existing models there\n\n   ![uploaded image](/media/?type=post&id=74582&key=user_uploads/1381983/fc5a26f7-f7aa-4984-bb8f-1e1fc8db427b)\n\n\nYou own the model weights, so you can train and run inference in your own cloud if you’d like.\n\n# **🙌** Our Ask:\n\nSign up for our [platform](https://automorphic.ai/signup) and train your first three models for free! We’d love feedback on how we can make your language model improvement experience better.\n\nIf there’s someone in your network like an ML engineer who works with LLMs, or folks looking to replace OpenAI / implement custom LLMs, we’d love to chat with them.\n\nHere’s a short blurb you can send them:\n\n> Automorphic, a YC-backed startup, enables developers to go from raw data to a continuously improving custom language model usable in production in minutes. They’d love to chat with ML engineers and companies looking to implement custom LLMs. Email them at [founders@automorphic.ai](mailto:founders@automorphic.ai), or book a meeting [here](http://calendly.com/automorphic)",
        "url": "https://www.ycombinator.com/launches/JOw-automorphic-infuse-knowledge-into-language-models-with-just-10-samples",
        "votes": 176,
        "created_at": "2023-09-01T21:50:34.474Z"
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    "name": "Baserun",
    "slug": "baserun",
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    "website": "https://baserun.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "LLMs are incredibly powerful, but latency, cost, and unpredictable outputs have made productionizing LLM features challenging. Baserun is a testing and observability platform that helps AI teams streamline their development cycle from identifying an issue to evaluating their solution, so that teams ship faster with confidence.",
    "one_liner": "Observability and evaluation platform for LLM apps.",
    "team_size": 2,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1691548192,
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    "url": "https://www.ycombinator.com/companies/baserun",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/baserun",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 1038083,
        "full_name": "Effy Zhang",
        "title": "Founder",
        "founder_bio": "Building something new",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/effyz",
        "x_url": "https://twitter.com/effyyzhang",
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      {
        "user_id": 815071,
        "full_name": "Adam Ginzberg",
        "title": "Founder",
        "founder_bio": "Adam is the CTO and co-founder of Subframe. He was an early engineer at Coda, helped lead the Coda AI team, and studied CS at Stanford.",
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        "linkedin_url": "https://linkedin.com/in/adam-ginzberg-77b6ba126",
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        "id": 74004,
        "title": "baserun.ai: Ship LLM features with confidence 💪💪💪",
        "tagline": "A testing platform for LLM apps. ",
        "body": "**TL:DR:** [baserun.ai](http://baserun.ai) is a testing platform for LLM apps. From prompt playground to end-to-end tests, baserun helps you ship your LLM apps with confidence and speed.\n\n## **The problem:**\n\n**Productionizing LLM features is hard. 🥲**\n\n1. It's difficult to judge which combination of model, configurations, and prompts performs better.\n2. It's challenging to debug complex workflows that mix chained prompts and other 3rd party API calls.\n3. It's hard to understand the progression of app performance over time.\n\n![uploaded image](/media/?type=post&id=74004&key=user_uploads/1038083/cef4bc61-ae39-4dc0-b0ca-f763861c4e97)\n\n## **Our solution:**\n\n**Gain insights into your LLM features within seconds**\n\nInstall baserun SDK and immediately gain insights into your LLM features and agents during testing, and monitor their behavior in production.\n\n**Full visibility into your end-to-end tests & user journey**\n\nVisualize the precise sequence of calls, duration, and cost, along with the inputs and outputs at each stage, encompassing both custom functions and third-party API calls.\n\n**Intuitive and flexible UI for evaluating and debugging**\n\nEffortlessly compare test runs side by side, directly edit prompts, and rerun tests from the UI.\n\n![uploaded image](/media/?type=post&id=74004&key=user_uploads/1038083/87f4df81-dd31-49b5-aeb0-5d5b51f7e504)\n\n**Collaborative workspace for teams**\n\nReview results, experiment and iterate on prompts, and build test datasets with your whole team. All prompts and test results are version-controlled.\n\n![uploaded image](/media/?type=post&id=74004&key=user_uploads/1038083/3cd2684f-04b3-4835-ac39-c27ba810a69f)\n\n**Our Asks**\n\n* Try [baserun](https://baserun.ai/welcome) and give us some feedback! [Book a 15-minute call](https://calendly.com/effy-zhang/baserun-onboarding-call) with us. We’d love to hear about what you are building and help you get onboarded.\n* You can follow us on [Twitter](https://twitter.com/baserunai) or [LinkedIn](https://www.linkedin.com/company/baserun), or email us at [hello@baserun.ai](mailto:hello@baserun.ai)",
        "url": "https://www.ycombinator.com/launches/JFc-baserun-ai-ship-llm-features-with-confidence",
        "votes": 161,
        "created_at": "2023-08-10T19:17:49.128Z"
      }
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    "id": 29000,
    "name": "SafetyKit",
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    "website": "https://www.safetykit.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "SafetyKit's AI agents do the dirty work for big tech and finance companies so humans don't have to.\r\n\r\nToday companies rely on armies of low-paid outsourced humans to protect their platforms from fraud, harassment, and crime. It’s super important work, but the jobs are difficult and sometimes traumatizing, and it’s impossible to keep up. Our mission is to end this manual toil.\r\n\r\nWe learned this domain first-hand at Stripe and Airbnb, where first we built software for human reviewers, and then built models to replace them.\r\n\r\nWe’re a group of engineers from Stripe, Meta, Netflix, MIT, and Princeton that love language models and unironically love B2B SaaS. We know the economy is going to be rearranged over the next 4 years and we want to be in the driver’s seat.\r\n\r\nWe build vertical AI that works and have some of the world’s largest companies as paying customers. Patreon, Eventbrite, Upwork, Character.ai, Substack, Faire, along with a $10B+ marketplace, a $100B+ payments company, and more rely on SafetyKit in production.",
    "one_liner": "AI agents for risk, compliance, and safety",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/safetykit.json",
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    "founders": [
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        "user_id": 229727,
        "full_name": "David Graunke",
        "title": "Founder",
        "founder_bio": "David led engineering for risk reviews at Stripe for fraud, credit, content moderation, and financial crimes. He built the policy and workflow engine that scaled Stripe from internal reviewers to thousands of outsourced vendor agents.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/david-graunke-46790429",
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        "user_id": 62739,
        "full_name": "Steven Guichard",
        "title": "Founder",
        "founder_bio": "Steven is a cofounder of SafetyKit, working to replace human risk reviewers with language models.\n\nPreviously he worked at Carbic as the first software engineer and later as the CEO. There he helped build ultrasonic flow sensors which were installed on oil pipelines and offshore rigs around the world.\n\nSteven also cofounded Thomas Street, a software design and engineering consultancy, where he worked with companies like Cisco, Roche, and DirecTV.",
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        "linkedin_url": "https://linkedin.com/in/stevenguichard",
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        "id": 75704,
        "title": "Full Stack Engineer, Intern Summer 2026",
        "url": "https://www.ycombinator.com/companies/safetykit/jobs/eQpUzRD-full-stack-engineer-intern-summer-2026",
        "location": "San Francisco, CA, US",
        "type": "Internship",
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        "role_type": "Full stack",
        "salary_range": "$12.5K - $16.5K / monthly",
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        "title": "Business Development Representative (BDR)",
        "url": "https://www.ycombinator.com/companies/safetykit/jobs/7FWTRS8-business-development-representative-bdr",
        "location": "San Francisco, CA, US",
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        "url": "https://www.ycombinator.com/companies/safetykit/jobs/fg68qhB-growth-lead",
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        "title": "SafetyKit | SafetyKit Raises $27m to Make AI do Tech's Dirty Work",
        "url": "https://www.safetykit.com/resources/safetykit-raises-27m-to-make-ai-do-techs-dirty-work",
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    "name": "VectorShift",
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    "website": "https://www.vectorshift.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "VectorShift is the AI operating system for private market investors.VectorShift is the AI operating system for private market investors. We capture a firm's institutional knowledge across every deal, decision, and diligence finding, and put it to work across data room analysis, IC memos, portfolio company monitoring, and LP reporting.",
    "one_liner": "AI Operating System for Private Market Investors",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1690889498,
    "tags": [
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    "url": "https://www.ycombinator.com/companies/vectorshift",
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    "city": "New York City",
    "country": "US",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1325593,
        "full_name": "Alexander Leonardi",
        "title": "Founder",
        "founder_bio": "CEO at VectorShift. Previously Private Equity Data Science Analyst at Blackstone, where he evaluated private equity transactions, deployed AI/ML solutions for portfolio companies, and helped establish Blackstone's perspectives and capabilities surrounding Generative AI. AB/SM in Statistics & Computer Science from Harvard. Grew the Harvard College Consulting Group >200% YoY to >$1m annual revenue as CEO.",
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        "linkedin_url": "https://linkedin.com/in/alexanderleonardi",
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      },
      {
        "user_id": 1325592,
        "full_name": "Albert Mao",
        "title": "Founder",
        "founder_bio": "COO at VectorShift. Former Tech GTM / product consultant at McKinsey. Studied Statistics at Harvard '21. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/albert-mao-8b263aa2",
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    "jobs": [
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        "id": 105812,
        "title": "Product Marketing Manger",
        "url": "https://www.ycombinator.com/companies/vectorshift/jobs/8EwAk1Y-product-marketing-manger",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$125K - $200K",
        "equity_range": "0.10% - 0.30%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 111159,
        "title": "Business Operations Manager",
        "url": "https://www.ycombinator.com/companies/vectorshift/jobs/BhOugS9-business-operations-manager",
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        "visa": "US citizen/visa only",
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        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/vectorshift/jobs/AoLXZOp-chief-of-staff",
        "location": "New York, NY, US",
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        "experience": "Any (new grads ok)",
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        "id": 114424,
        "title": "Founding Account Executive — Financial Services",
        "url": "https://www.ycombinator.com/companies/vectorshift/jobs/Pg8QCTY-founding-account-executive-financial-services",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "equity_range": "0.10% - 0.30%",
        "experience": "1+ years",
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    "news": [
      {
        "title": "Exclusive: VectorShift raises $3M to modularize LLM application development | VentureBeat",
        "url": "https://venturebeat.com/ai/exclusive-vectorshift-raises-3m-to-modularize-llm-application-development/",
        "date": "Feb 21, 2024"
      }
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    "launches": [
      {
        "id": 84731,
        "title": "VectorShift: No-Code AI Automations Platform",
        "tagline": "Build AI assistants and workflow automations in no-code.",
        "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code AI automations platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI. \n\n<https://www.youtube.com/watch?v=t18ySXNDYvs>\n\n**VectorShift Platform**\n\nThrough drag-and-drop components, VectorShift’s no-code builder allows you to: \n\n* Use a flexible “visual programming language” to prototype, build, deploy, and manage LLM apps.\n* Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases can live-sync with your data wherever it sits (e.g., Google Drive, OneDirve, Notion, etc.).\n* Define triggers that automatically run workflows (e.g., Slack message / Email) and allow workflows to perform actions (e.g., write a notion document).\n* Place interfaces on workflows that you build (e.g., chat, forms, search engine, bulk runs, voice, etc.).\n* Maintain enterprise-grade security - VectorShift is SOC2 Type 2, GDPR, and HIPPA compliant.\n\n \n\n**Enterprise Search Product Launch**\n\nToday, VectorShift launches its unified Enterprise search product. Connect to all your team’s tools (e.g., Google Drive, Notion, Slack) for a single place to securely search/chat with your documents. \n\nWith VectorShift, you can:\n\n1. Choose your preferred LLM model provider or leverage your own.\n2. Live-sync with your data wherever it sits. VectorShift will automatically transform, optimize, and enhance your data based on source and type (e.g., PDFs, tabular data, images, etc.) to significantly improve retrieval accuracy.\n3. Granularly site all answers generated by AI with 1) document source/type, 2) chunks used, and 3) page numbers/sheet names. \n4. Utilize advanced retrieval methods - e.g., re-ranking, hybrid search, advanced data extraction/processing models, metadata filtering, and query optimization. \n5. Leverage enterprise-grade permissioning to deploy the AI search engine directly to your organization.\n\nStep 1: After connecting all your data in a knowledge base, fully customize the interface with your branding. \n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/1a4c3232-6a32-49a9-96d9-de20ec7fe607)\n\nStep 2: Securely search and ask questions to all your data in one place.\n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/b4524000-2cd5-4b3e-9d70-ad9ea4f2f019)\n\nStep 3: Deep dive into results by chatting with retrieved documents. \n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/26f8cf49-4011-44e0-a24c-d731890cd384)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously, Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey, where he helped Fortune 500 organizations digitally transform and revamp the GTM motions and products of multiple enterprise software companies. \n\n**The Ask:**\n\n* Try VectorShift: <http://www.vectorshift.ai/>\n* If you are interested in discussing further, book a demo here: <https://calendly.com/albert_mao/vectorshift-intro-chat>. We provide hands-on support in identifying, building, and deploying AI solutions.",
        "url": "https://www.ycombinator.com/launches/M2d-vectorshift-no-code-ai-automations-platform",
        "votes": 18,
        "created_at": "2024-10-16T11:23:50.769Z"
      },
      {
        "id": 80383,
        "title": "VectorShift: No-code generative AI platform",
        "tagline": "Build AI assistants and workflow automations in no-code",
        "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code generative AI platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI. \n\n[ ](https://www.youtube.com/watch?v=t18ySXNDYvs)\n\n**VectorShift Platform**\n\nThrough drag-and-drop components, VectorShift’s no-code builder allows you to: \n\n* Use a flexible visual programming language to prototype, build, deploy, and manage LLM apps.\n* Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases live-sync with data across your tools (e.g., Google Drive, OneDrive, Notion, etc.).\n* Define triggers that automatically run workflows (e.g., Slack message) and allow workflows to perform actions (e.g., write a notion document).\n\nHundreds of companies across healthcare, finance, technology, education, logistics, and professional services already use VectorShift in production. Here are some real-life examples: \n\n* Startups (including multiple YC startups!) use VectorShift to power the “backend” of their **AI product features**.\n* A European conglomerate uses VectorShift to **automate report writing** for clients.\n* A professional services firm for the US government uses VectorShift to **automate RFP proposals** and **search through their contract library** to answer queries.\n* A healthcare education company uses VectorShift to create a **chatbot** to answer patient questions leveraging their extensive knowledge base.\n* A large technology company built an **internal support assistant** to answer questions about employee policies\n\nAnd much more…\n\nOther use cases our customers have in production: document analysis at scale, scraping internet data, content creation, and automatically sending personalized outbound emails.  \n\n**Chat / Assistant Interface Product Launch**\n\nIn building our no-code builder, users requested a way to place interfaces on workflows so they can automate workflows end to end. Today, we are launching VectorShift’s assistant product!\n\nStep 1: After building an AI workflow, place a chat / AI assistant-style interface in your workflow.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/7dc154c9-2642-41f4-8342-43b5cf74590f)\n\nStep 2: Fully customize the interface with your branding to share chat assistants internally or export to end-users / clients via URL, iFrame, Whatsapp / SMS, API, or as a Slack bot.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/7c67a1e3-e464-410d-ac95-6c8352cc110d)\n\nStep 3: Manage your production app by viewing collected data and analytics.  \n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/73cbd04f-6fc2-4f81-b794-b086a3af5e62)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously, he was a Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies. \n\n**The Ask:**\n\n* Try VectorShift: <http://www.vectorshift.ai/>\n* If you are interested in discussing this further, book a demo here: <https://calendly.com/albert_mao/vectorshift-intro-chat>. We provide hands-on support in identifying, building, and deploying AI solutions.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/393b980e-d835-4fbc-aee9-1ab57672b0e3)\n\n",
        "url": "https://www.ycombinator.com/launches/KuV-vectorshift-no-code-generative-ai-platform",
        "votes": 18,
        "created_at": "2024-04-24T14:55:24.660Z"
      },
      {
        "id": 77798,
        "title": "VectorShift - The AI Automation Platform",
        "tagline": "Leverage AI in building automated workflows in a no-code interface or through a Python SDK.",
        "body": "[VectorShift](http://www.vectorshift.ai/) is an AI automation platform. Teams leverage AI through VectorShift’s no-code interface or Python SDK to search through knowledge bases, generate documents, and deploy chatbots and assistants. We give all organizations the ability to build enterprise-grade AI applications.\n\n[ ](https://www.youtube.com/watch?v=WWS0uj-ed8U)\n\n# **VectorShift Platform**\n\nThrough drag-and-drop components, our no-code builder allows you to: \n\n* Connect different nodes like LLMs, data loaders, vector databases, and more.\n* Create a knowledge base of your data (e.g., CRM, Notion database, files) or live sync with your data sources to leverage within AI pipelines.\n* Create automations that trigger the running of pipelines (e.g., Slack message / Email) and allow pipelines to perform actions (e.g., write a notion document).\n* Deploy your pipeline through a chat interface with just a few clicks. Share chat assistants internally, or export to end-users via URL, WhatsApp / SMS, or API.\n\n![uploaded image](/media/?type=post&id=77798&key=user_uploads/1325592/3a8a510a-c672-49cb-82a6-4182d368295d)\n\n# **What are real examples of companies using VectorShift in production?**\n\n* A startup uses VectorShift to power the “backend” of their **AI product features**.\n* A European conglomerate uses VectorShift to **automate report writing** for clients.\n* A professional services firm for the US government uses VectorShift to **automate sales proposals** and **search through their contract library** to answer queries.\n* A healthcare education company uses VectorShift to create a **chatbot** to answer patient questions leveraging their extensive knowledge base.\n* A large technology company built an **internal support assistant** to answer questions about employee policies.\n\nAnd much more…\n\nTo name a few: document analysis, scoring resumes, drafting patents and legal documents, and automatically sending personalized outbound emails.  \n\n# **Python SDK Launch**\n\nIn building our initial product line, users requested a way to interface with our platform through code, so we’ve built a Python SDK for working with our various product lines. Now, you can access functionality present in our no-code platform directly through your IDE. Using the SDK, you can:\n\n* Fetch, edit, save, and run your pipelines and chatbots. Run your AI workflows and use your preferred version-control system to work with your VectorShift-managed AI pipelines in code.\n* Load and query your vector stores, and add new indices to index your data.\n* Work with any connected integrations, like Notion, OneDrive, Slack, etc.\n\nAny changes you save through the SDK will automatically update in the no-code platform so you can enjoy complete interoperability between the two interfaces. You can view the documentation for our SDK here: <https://docs.vectorshift.ai/vectorshift/developers/sdk/getting-started>\n\n# **About Us:**\n\n[Alex Leonardi](https://www.linkedin.com/in/alexanderleonardi/): BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\n[Albert Mao](https://www.linkedin.com/in/albert-mao-8b263aa2/): BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies. \n\n![uploaded image](/media/?type=post&id=77798&key=user_uploads/1325592/2f4a1481-ae88-43b8-b699-bc48a0f70ff2)\n\n# **The Ask:**\n\n* Try VectorShift: <http://www.vectorshift.ai/>\n* If you are interested in discussing further, book a demo with us here: <https://calendly.com/albert_mao/vectorshift-intro-chat>. We are always happy to help iterate with you on use cases!",
        "url": "https://www.ycombinator.com/launches/KEo-vectorshift-the-ai-automation-platform",
        "votes": 25,
        "created_at": "2024-01-24T14:40:19.860Z"
      },
      {
        "id": 73759,
        "title": "VectorShift: No-code LLM workflow builder",
        "tagline": "We let you design, integrate, and deploy internal LLM tools in minutes",
        "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code platform that lets teams quickly create AI workflows. Enterprises use us to build internal tools to generate marketing copy, proposals, and RFP responses. Startup teams use us to automate workflows such as writing personalized emails and deploying chatbots.\n\n[ ](https://www.youtube.com/watch?v=tKhVKJGOqDM&ab_channel=AlbertMao)\n\n**Introduction**\n\nThis is [Alex Leonardi](https://www.linkedin.com/in/alexanderleonardi/) and [Albert Mao](https://www.linkedin.com/in/albert-mao-8b263aa2/) - we studied CS and statistics together at Harvard and previously, we grew a business >200% Y/Y to 7 figures as CEO and CRO. During that time, we realized that our sales reps were spending more than half their time 1) writing proposals, 2) writing personalized outreach emails, and 3) researching prospects. If we could automate these workflows, we would be able to reach more leads and grow faster!\n\nHowever, there was no way to build these custom generative AI workflows at scale, meaning that we had to build all of our tooling from scratch. That's why we built VectorShift - it is what we wished we had when running our previous business.\n\n**VectorShift Platform**\n\nOur platform’s core features include:\n\n* **Pipeline Builder:** Connect different nodes like LLMs, data loaders, vector databases, and more.\n* **File Handling:** Pass files as inputs and save them as outputs while using pipeline nodes to parse their meaning.\n* **Deployment Acceleration:** A marketplace of pre-built workflows, easily customizable for your needs.\n* **Reusable Components:** Use previous pipelines as nodes in new ones, allowing quick reuse of existing functionality.\n* **Chatbot Creation:** Convert any pipeline into a Chatbot with just a few clicks.\n* **API Integration:** Run pipelines and chatbots easily with API calls.\n* **Public Marketplace:** Run pipelines that other users have already refined, and publish your own pipelines for others to use.\n\nOur pipeline builder allows the user to quickly connect different components needed in a generative AI workflow. For example, sales reps use VectorShift to replicate the logic they use to write account proposals and reclaim hours of time every day.\n\n![](https://lh4.googleusercontent.com/9Tn6V3lthGLkz2zdpQWlkiSt2CRQpVJXdB8dNREiJhl81zIsMhGwx7EQhMP3Wy5YqGeW9QE3n0Sn2zzw0jyVsYRVKmUhnkNl6oI37RuxWOBCZYNX7NtJX-hzqrXlAtlHKk9vUD2Laod0fiGa8z5RNXw)\n\nIn addition to providing the building blocks of building any generative AI workflow, we further accelerate the deployment process by offering a marketplace of pre-built workflows. Want a pipeline that generates personalized emails? We already have one built for you to modify to your liking. \n\n![](https://lh5.googleusercontent.com/_TH3ixjhoNzuK5EyaDje9ZHVauXOOvSB4BeUTj2GJq_UIQqjlSG1y7Ang05A5rIxm9y05emBo4IhQHD5pj7QZJfDp2oDsM7qtTGXIgLTlDhLoV806oUMNvUmAqlr9VKD854q2SBiJjMcKisdpRxF62w)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies.\n\n![](https://lh6.googleusercontent.com/f6DnmkT0xpTnl7giTjYMudF1rSwAsHDIkmTow46kXAe3OzltO0z_MFNG0_AMCd1BfgDOOfwR4yXzdhUioBdi5OHV4ii7KCeZpW_okkP_UfgUQ4ikpmAv7pRXJ1TVX8XNuQYsPHBOTVh5IQkei7O7Vro)\n\n**The Ask:**\n\n* Try VectorShift for free: <http://www.vectorshift.ai/>\n* If you are interested in discussing further, book a demo here: <https://calendly.com/albert_mao>. We are happy to help iterate with you on potential use cases!",
        "url": "https://www.ycombinator.com/launches/JBf-vectorshift-no-code-llm-workflow-builder",
        "votes": 157,
        "created_at": "2023-08-03T15:10:51.548Z"
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    "id": 29003,
    "name": "DisputeNinja",
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    "long_description": "DisputeNinja helps software and AI startups automate their chargebacks and recover revenue.",
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        "full_name": "Max Wu",
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        "full_name": "Bowen Xue",
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        "title": "DisputeNinja 🥷 AI-powered Chargeback Responses",
        "tagline": "Recover 2x more revenue from chargebacks",
        "body": "**DisputeNinja uses AI to help businesses recover 2x more revenue from chargebacks.** In the past 3 months, we’ve helped 200+ Stripe merchants recover hundreds of thousands in lost revenue.\n\n<https://youtu.be/F4Ho3WTnoXA>\n\n# **The Problem**\n\nIf you’re a business who’s dealt with chargebacks, you’ve probably felt this:\n\n🧨 **You did everything right and still lost the money**\n\n_“We shipped the product, supported the customer, submitted everything we had… and still lost.”_\n\nThe worst of all is, you don’t even know why you lost. It starts to feel like chargebacks are unwinnable, no matter what you do.\n\n* You didn’t know what to submit in the first place, since the guidelines weren’t clear\n* The loss reason from the bank is vague and unhelpful\n* And now Stripe’s adding a $15 fee every time you lose, making it even worse\n\n**🕒 It takes too much time**\n\n_“It’s not worth an hour just to lose $50.”_\n\n* Writing a response takes 30–60 minutes.\n* Gathering the evidence is a headache. It’s spread across Stripe, Shopify, email, shipping tools, and more.\n* Each case is a little different, so you can’t just copy-paste your last one.\n\n# **The Solution**\n\n**✨ AI-generated responses**\n\nUpload your evidence and DisputeNinja will write a tailored response for you, using past disputes we’ve won for similar products and businesses.\n\n![uploaded image](/media/?type=post&id=89254&key=user_uploads/279630/bc6a262a-06da-4c2c-866e-1b080809d479)\n\n**✅ Evidence checks**\n\nDisputeNinja evaluates your evidence against the chargeback reason code and tells you exactly what’s needed to win.\n\n![uploaded image](/media/?type=post&id=89254&key=user_uploads/279630/e35c285f-3bf0-45f2-bf94-32a5e1acd4f2)\n\nIn the past 3 months, we’ve helped 200+ Stripe merchants recover hundreds of thousands in lost revenue.\n\n# **The Ask**\n\n* [Try us out for free](http://disputeninja.ai) on Stripe or Shopify\n* If you handle 30+ disputes monthly, we can help with automating your disputes. If you’re interested, book a time on my [Calendly](https://calendly.com/disputeninja/30min) or reach\n\n  out at [bowen@disputeninja.io](mailto:bowen@disputeninja.io).\n\n![uploaded image](/media/?type=post&id=89254&key=user_uploads/279630/04fe8187-c048-4ddb-9e30-2c48a65d868e)\n\n",
        "url": "https://www.ycombinator.com/launches/NDa-disputeninja-ai-powered-chargeback-responses",
        "votes": 29,
        "created_at": "2025-04-04T16:58:16.174Z"
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        "id": 73769,
        "title": "Trench: Open-source fraud prevention platform for marketplaces",
        "tagline": "Building better fraud prevention tools for everyone",
        "body": "**TLDR: You can now self-host an open-source fraud prevention solution as a marketplace.**\n\nHi everyone! We’re [Bowen](https://linkedin.com/in/bowenxue) (left) and [Max](https://www.linkedin.com/in/maxcwu/) (right) from [Trench](http://trytrench.com/). We used to work at startups that let you purchase NFTs/crypto via credit card/ACH, and we spent a lot of our time there fighting payment fraud.\n\n![uploaded image](/media/?type=post&id=73769&key=user_uploads/279630/d89c7fe4-fa97-4769-b18b-a9b190ff8bf9)\n\n### **🔥 PROBLEM**\n\n### **Fraud vendors can’t solve fraud for you. Every business outgrows their vendor.**\n\nThere will always be fraud that is specific to your application or business, that no vendor will solve. This is because:\n\n* They don’t know your business.\n* They have a thousand other customers to worry about.\n\nAt one point, fake NFT sellers on our marketplace accounted for **90%** of our fraud, but none of our vendors cared about sellers, let alone NFT projects.\n\nTo reduce fraud, we needed to build new tools and processes that were completely specific to us, like reviewing NFT sellers and analyzing blockchain activity.\n\n### **But existing vendors lock you in.**\n\nBecause existing fraud vendors are hosted and closed-source, it’s a nightmare to build around them:\n\n* **You can’t integrate your own data.** Every time we needed to add a custom field to our vendor’s dashboard, we needed _manual approval_. This process would take an entire week, during which we’d be losing money to fraudsters.\n* **You can’t export all your data.** To retrieve our _own_ payments data from our vendor, we had to write _web scrapers_ because there was no API or export button.\n\n### **🧱 SOLUTION**\n\n### **Trench grows with your business and doesn’t lock you in.**\n\n* **Trench is open-source.** You can modify it for your use case and share your solutions with others.\n* **Trench is self-hosted.** You have full control and access to your data, and you can respond to fraud without asking third parties for permission.\n* **Trench comes with tools out of the box.** You can [deploy](https://docs.trytrench.com) a dashboard and rule engine in one click and you can collect device data with one line of JS.\n\n### **🏠 FOR MARKETPLACES**\n\nIf you’re a marketplace, Trench can help you:\n\n* Prevent buyer and seller fraud in one platform\n* Review sellers by KYC, KYB and transaction history\n* Set transaction limits for both buyers and sellers\n* Automatically assess payments based on both buyer and seller data\n* Integrate directly with Stripe Payments, Identity, and Connect\n\n![uploaded image](/media/?type=post&id=73769&key=user_uploads/279630/60a63aef-cf4c-41ea-81f5-a09138bef002)\n\n### **👀 How do I get started?**\n\nYou can set up Trench in two steps:\n\n* [Deploy](https://docs.trytrench.com) an instance of Trench in minutes\n* Add a code snippet to your checkout page\n\nVisit our [repo](https://github.com/trytrench/trench) to get started or talk to us and we’ll do it for you.\n\n### **🙏 Our ask**\n\nWe’d love to chat if you’re a marketplace thinking about fraud or if you find yourself building a lot of fraud tools in-house: [founders@trytrench.com](mailto:founders@trytrench.com)\n\n⭐ Star our repo on [**Github**](https://github.com/trytrench/trench)",
        "url": "https://www.ycombinator.com/launches/JBp-trench-open-source-fraud-prevention-platform-for-marketplaces",
        "votes": 59,
        "created_at": "2023-08-03T17:08:22.666Z"
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        "full_name": "Anish Agrawal",
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        "title": "🧪 Chatter - Dead simple LLM iteration and testing",
        "tagline": "The Chatter platform helps companies and developers test their LLM models. ",
        "body": "**tl;dr**  Chatter is Postman for LLMs. Our platform helps companies and developers test their LLM models Iterate on prompts, run them across model families and evaluate them against test cases – all in one place. With collaboration features, engineers can design LLM chains while QA can write test cases.\\\n—\n\nHi everyone, we’re Anish and Kasyap aka the team behind [Chatter.](https://www.trychatter.ai/) We met at UPenn and dived deep into LLMs. After working on a couple projects, we realized LLM testing was a growing issue and built Chatter.\n\n![uploaded image](/media/?type=post&id=73893&key=user_uploads/1383268/18ea07e1-dd28-4625-b51c-44473efcd189)\n\n**🙋‍♂️ Who is it for?**\n\nWe built Chatter for developers and companies wanting observability while building with LLMs. If you’re building LLM-powered applications, refining your prompts, and care about their accuracy/performance (incorrect responses, hallucinations, etc), then Chatter is built for you.\n\n**⚙️ How does it work?**\n\n**🏗️ Build / Iterate Fast**, **with all the features you need**\n\nMultiple foundation models, LLM chaining, formatted responses, Jinja2 prompt templating, parameter tuning, and more – all without a single line of code. When you’re done, export the call(s) to your favorite programming language.\n\n![uploaded image](/media/?type=post&id=73893&key=user_uploads/1383268/fe7c2027-7741-4b86-bd00-3dc970d1faf2)\n\n🧪 **Test on hundreds of inputs, with automatic evaluation**\n\nEasily build a test suite as large as you need, and run it all with a single click. Add assertions for each LLM call, with automatic evaluation using anything from regex to LLM-powered methods. Everything is versioned in one place for easy comparison.\n\n![uploaded image](/media/?type=post&id=73893&key=user_uploads/1383268/8e29831b-d195-4105-9c7f-0cd1f4d3fe05)\n\n🚀 **Collaborate**\n\nNeed domain experts to review results, or your customer success team to bring in user feedback? Invite anyone into shared workspaces and make sure your users benefit from your combined expertise. \n\n![uploaded image](/media/?type=post&id=73893&key=user_uploads/1383268/d5bee1a6-612e-40e2-af2c-0463d7af8424)\n\n**🙏 Our ask**\n\nIf you know a company in your network that’s looking to improve their process for building with LLMs, we’d love a warm intro! My email is [**anish@trychatter.ai**](mailto:anish@trychatter.ai)\n\n🎡 Try the [playground](https://platform.trychatter.ai/playground) (bonus: share your feedback with us [founders@trychatter.ai](mailto:founders@trychatter.ai))\n\nShare this post!",
        "url": "https://www.ycombinator.com/launches/JDp-chatter-dead-simple-llm-iteration-and-testing",
        "votes": 27,
        "created_at": "2023-08-08T00:53:47.195Z"
      }
    ]
  },
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    "id": 29005,
    "name": "Proof of Human",
    "slug": "proof-of-human",
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    "website": "https://poh.org",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Proof of Human is an API that invisibly detects bots and verifies human identity.\r\n\r\nFounded by Princeton cognitive scientists, Proof of Human leverages world-class research with industry-beating benchmarks so platforms can verify their human users friction-free.",
    "one_liner": "continuous human verification without CAPTCHAs or user friction",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1685540601,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/proof-of-human",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/proof-of-human.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/proofofhumanpbc",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1368345,
        "full_name": "Mayank Agrawal",
        "title": "Founder",
        "founder_bio": "CEO of Proof of Human, building the invisible Turing Test for the Internet. \n\nBefore Proof of Human, Mayank completed a PhD at Princeton University working at the intersection of cognitive science and artificial intelligence, publishing in high-impact venues including Science, PNAS, and Psychological Review.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mayank-agrawal-08849aa6",
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      {
        "user_id": 1202145,
        "full_name": "Matt Hardy",
        "title": "Founder",
        "founder_bio": "Matt is a co-founder of Proof of Human, a company building the invisible Turing Test for the internet. Before Proof of Human, Matt was a PhD student at Princeton University, where he used machine learning and behavioral and experiments to study how people make decisions. Before his PhD, Matt majored in both statistics and economics at the University of Toronto, and worked in data science and econometrics.  ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mdahardy",
        "x_url": "https://twitter.com/mdahardy",
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    "jobs": [
      {
        "id": 76838,
        "title": "Founding Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/proof-of-human/jobs/ZTZHEbb-founding-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $150K",
        "equity_range": "1.00% - 3.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 108716,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/proof-of-human/jobs/WOKXDgC-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [],
    "launches": [
      {
        "id": 117699,
        "title": "Proof of Human, PBC: The invisible Turing Test for the Internet",
        "tagline": "The Proof of Human API continuously distinguishes humans from bots and AI agents.",
        "body": "**The internet is losing the ability to know who is human.**\n\nAI agents can now browse websites, fill out forms, complete tasks, and produce responses that are increasingly difficult to distinguish from those of real people. The systems the internet has historically relied on to separate humans from machines were not built for this world.\n\n## PROOF OF HUMAN\n\nThe Proof of Human API continuously distinguishes humans from bots and AI agents.\\\n\\\nModern AI can produce very human-like outputs. But producing an answer and producing it like a human are different things. Humans hesitate. We make mistakes. We correct ourselves. Our attention changes over time. The way we type, move, and interact leaves rich signatures that remain difficult for AI systems to reproduce. We call the broader research program _the Invisible Turing Test for the Internet_.\n\nProof of Human runs in the background while someone uses a website—no CAPTCHA, no puzzle, no interruption. We combine behavioral, device, and network signals and return a real-time assessment that companies can use to decide whether to trust an account, accept a response, or pay for work.\n\n<https://www.youtube.com/watch?v=swJabsQubf4>\n\n## BENCHMARKS\n\nWe tested scripted bots and AI agents against Proof of Human and other leading detection systems.  \n\n![uploaded image](/media/?type=post&id=117699&key=user_uploads/1202145/ae031489-b618-4c0f-a1e7-a68dfa8cca03)\n\n_On a five-question survey, Proof of Human identified 99% of automated sessions, followed by reCAPTCHA v3 at 69.4%, hCaptcha at 44.3%, Cloudflare Turnstile at 42.1%, and Cloudflare Bot Management at 9.1%._\n\nTraditional automation signals remain effective against scripted browsers, but they are less reliable when AI agents operate through genuine browser environments. Even interactive challenges may offer limited protection when vision-capable agents can interpret and complete them. As browser-level indicators become easier to avoid, the way a user behaves throughout a session becomes increasingly important for distinguishing human activity from automation.\n\n## OUR CUSTOMERS\n\n**Today, Proof of Human acts as the trust layer behind online human research.** Stanford Psychology uses it to verify that participants in online studies are real. GrowProgress uses it as part of its quality-control stack for polling and public-opinion research. Market insights firms including Obsurvant use it to identify AI agents and other fraudulent respondents before they enter client datasets.\\\n\\\nThe common problem is the same: a response itself is no longer enough. An AI agent can give a coherent answer, pass an attention check, and look perfectly legitimate in the final dataset. Proof of Human looks at the process that produced it—how someone types, clicks, scrolls, moves through a page, and interacts with their device—continuously and without interrupting the user.\\\n\\\nProduction traffic also teaches us what to look for next. Customer deployments have uncovered new patterns of automation, from unnatural typing to partial AI copy-pasting, that are difficult or impossible to identify from the final answer alone. Those behaviors become new detectors, which are then tested across human, bot, and agent traffic before being deployed back into the network. The result is a system that improves as the adversary changes.\n\n![uploaded image](/media/?type=post&id=117699&key=user_uploads/1202145/0f53b0f4-ec5e-4837-acec-549a275ac727)\n\n_Proof of Human at Stanford Psychology. We first encountered this problem as researchers ourselves; today, research groups use Proof of Human to verify that the people behind online studies are actually people._\n\n## THE FUTURE\n\nWe started with online research because the problem was acute and measurable: organizations were paying for human judgment without reliably knowing whether a human had produced it.\n\nBut the same problem is rapidly appearing across applications, marketplaces, transactions, social platforms, and digital work. The internet needs a way to know when a human is actually on the other side—continuously, invisibly, and without another CAPTCHA.\n\nWelcome to the Proof of Human era.\n\nMatt &amp; Mayank",
        "url": "https://www.ycombinator.com/launches/UcN-proof-of-human-pbc-the-invisible-turing-test-for-the-internet",
        "votes": 13,
        "created_at": "2026-10-14T14:43:03.903Z"
      }
    ]
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  {
    "id": 29006,
    "name": "Inari",
    "slug": "inari",
    "former_names": [
      "Backpocket"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6146717f3a538ddcc342da7a54a025ac6b894c0d.png",
    "website": "https://useinari.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Inari automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. \r\n\r\nInstead of sifting through 1000’s of sales calls, support tickets, and customer feedbacks manually, Inari automates the process of extracting useful quotes, surfacing customer insights and product opportunities, then linking insights and issues with your CRM and backlog so your team can spend less time analyzing and more time building products that customers love.",
    "one_liner": "Your junior AI product manager",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1691035994,
    "tags": [
      "Generative AI",
      "B2B",
      "Analytics",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/inari",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/inari.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98071724/",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
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        "user_id": 1073124,
        "full_name": "Frank Lee",
        "title": "Founder",
        "founder_bio": "Cofounder / CEO of Inari. Led product teams building out gamification, marketplace, and economy management on NBA Top Shot and NFL ALL Day while @ Dapper Labs. Worked on ML pricing product and scaled several cities in BizOps between 2016-2020 @ Opendoor. Data became my love language while working @ Amazon. I love all things about startups, product, marathon running, and streetwear.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bizfranklee",
        "x_url": "https://twitter.com/knarfeel_",
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      },
      {
        "user_id": 1160832,
        "full_name": "Eric Kim",
        "title": "Founder",
        "founder_bio": "CTO of Inari: Building the AI copilot connected to your workplace data to empower teams to gather context and make decisions quickly.\n\nPreviously at Amazon.com Supply Chain Forecasting and AWS SageMaker as founding tech lead for DataWrangler, owner of the SageMaker XGBoost image, and point of contact for algorithm deployment to secure GovCloud environments.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ericangelokim",
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      {
        "id": 87667,
        "title": "Inari 🦊 - Your junior AI product manager",
        "tagline": "Build delightful products by identifying insights and product opportunities automatically from your customer feedback, CRM, and backlog.",
        "body": "Hey YC 👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n### **TL;DR**\n\n[Inari](https://useinari.com/) automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. This helps your team prioritize and build products that users love — without having to sort through 1,000’s of sales calls, support tickets, or feedbacks manually.\n\nTry Inari out for free at [useinari.com](http://useinari.com) or checkout our [product demo](https://www.youtube.com/watch?v=PKrRjXW1b08).\n\n### **Problem**\n\nThe canonical startup advice is “talk to your users” and “deeply understand customer problems,” but executing it is easier said than done. The volume of customer feedback and qualitative data is exploding, living fragmented across hundreds of tools, making it difficult and time-consuming to convert customer data into useful insights and product opportunities.\n\nWithout a clear view of what customers are saying, product teams miss out on signals that can improve their product, reduce churn, and drive revenue growth. Missed signals means your engineering team wastes time building features customers don’t actually need.\n\n### **Explore accurate customer insights**\n\nInari allows you to explore your customer feedback, convert it into actionable requests, defects, praises, and learnings, then deeply understand exactly what’s top of mind for customers. Each insight gets auto-linked with relevant customer feedbacks and your CRM, so you can measure how frequent and valuable an insight is based on feedback.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/0e4651d3-cf6b-4349-8f43-d2a6c97afef8)\n\n### **Unify feedback, analyze it at scale**\n\nInari unifies your customer feedback from sources like Gong, Intercom, Zendesk, and Slack then automates the tedious process of sifting through it, extracting useful quotes, measuring sentiment, triaging feedback to specific teams, and linking it back to insights and issues (goodbye Productboard 👋🏼) using personalized fine-tuned AI models.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/5fc0851a-7ae9-4dba-a9cb-7736f8144ae1)\n\n### **Prioritize product opportunities**\n\nInari syncs with your Jira and Linear backlog, so you can ingest existing issues then auto-link it to relevant feedbacks and your CRM. This enables product builders to know exactly which company accounts are requesting a feature, its revenue impact based on deal size, then identify and resolve requests and edge cases flagged in relevant customer comments.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/8e9e5f59-9057-4035-a69b-df6835dc3e8c)\n\n### **Accelerate product development and prototypes**\n\nSince Inari is connected to customer data and organizes product context, you can generate deep dives, PRDs, and AI prompts grounded in customer needs in one-click. As AI coding tools improve, a key bottleneck to building better features is task clarity - Inari makes it easy to convert customer context into well-defined prompts that steer AI coding tools in generating prototypes.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/acafcf7e-5fc9-42d9-afd3-4e0207091582)\n\n### **Get started 💯**\n\n* If your product, engineering, or CX team needs to convert overwhelming volumes of customer data into actionable insights and product opportunities, [get started today](https://app.useinari.com/api/auth/signup) or check out [Inari](http://useinari.com) to learn more.\n* We’d love any feedback and are always down to geek out about product development. [Talk to us](https://cal.com/frank-lee-inari/30min) about your analysis, product discovery, prioritization, or AI prototyping problems so we can build something delightful for you!",
        "url": "https://www.ycombinator.com/launches/Mnz-inari-your-junior-ai-product-manager",
        "votes": 21,
        "created_at": "2025-02-17T18:24:09.722Z"
      },
      {
        "id": 80084,
        "title": "🦊 Inari: AI-powered product discovery and feedback analytics",
        "tagline": "Surface insights and revenue-generating product opportunities from your customer data auto-magically",
        "body": "Hey YC friends👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n## **TL;DR**\n\n[Inari](https://useinari.com/) surfaces customer insights and revenue-generating product opportunities from your customer data auto-_magically_ using AI.\n\nInstead of sifting through 100s of user interviews or 1000s of pieces of customer feedback manually, Inari automates the process of highlighting interesting quotes, identifying trends, uncovering impactful feature requests, and tying helpful prioritization metrics with features so your team can spend less time analyzing and more time building products that customers love. See our [product demo here](https://www.youtube.com/watch?v=vn3AExWP5xA).\n\n## **The Problem**\n\nThe canonical startup advice has always been, \"_go talk to your users._\" However, the process of listening to users, extracting meaningful insights, and figuring out what products to build based on actual customer problems is time-consuming. Most teams fail to make use of their customer data, resulting in missed revenue and higher churn.\n\nTop-performing teams that do talk to users have to spend significant effort manually analyzing and triaging customer feedback, sales convos, and support tickets. It’s tough to actually pull out impactful feature ideas and product opportunities from customer interactions and then persuade your team to prioritize them. Pulling together effective customer anecdotes and convincing prioritization metrics requires a ton of research and analysis.\n\n## **How It Works**\n\nIn the near future when AI makes us 10x more productive with task execution, deeply understanding customer problems and identifying impactful initiatives to take on becomes increasingly important. Inari helps automate the monotonous parts of customer analysis and product discovery across several steps.\n\n**Analyze customer interactions on autopilot**: Inari integrates with customer data sources (like Slack, Salesforce, and Gong), ingests customer interactions (like feedback, support tickets, and sales convos), and then automatically analyzes it all. Inari highlights key quotes, scores sentiment, and then triages feedback to specific teams, saving your product and support teams from having to do it manually.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3424c0c3-51ff-4372-96b9-0f77052aec5c)\n\n**Automated accurate insights**: As feedback pours in, Inari clusters it into accurate insights (requests, defects, praises, learnings, competitor mentions) so you can understand what’s top of mind for customers. Each insight comes with volume and sentiment metrics, alerts, and VoC dashboards that automate reporting. You can customize taxonomies and prompts to tailor analysis to your team’s needs.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/214b1290-e4dd-432d-8d7a-0be12fb8f717)\n\n**Uncover product opportunities**: Inari surfaces potential backlog issues based on customer feature requests or AI-recommended solutions for top customer problems. Every issue auto-links to relevant customer data like deal size, company stage, mention volumes, and specific anecdotes – giving you a 360° view when prioritizing what issues matter most.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3f6e8e5e-ebf2-420d-b649-ab3ee0fc453c)\n\n## **Our Asks 🙏🏼**\n\n* If your product, engineering, CX, or sales team wants to convert overwhelming volumes of customer data into actionable insights, VoC reporting, and alerts, you can [get started today here](https://app.useinari.com/api/auth/signup) or check out [useinari.com](http://useinari.com) to learn more.\n* If you’re interested in surfacing product opportunities and generating a 1st draft of your backlog based on customer requests using AI, let’s [chat live](https://calendly.com/frank-xu8/chat-with-frank-inari) or email [frank@useinari.com](mailto:frank@useinari.com) so I can onboard your team as design partners.\n* We’d love any feedback and are always down to geek out about product development. Talk to us about your analysis, product discovery, or prioritization problems so we can build something delightful for you!",
        "url": "https://www.ycombinator.com/launches/Kpg-inari-ai-powered-product-discovery-and-feedback-analytics",
        "votes": 39,
        "created_at": "2024-04-10T22:50:35.177Z"
      },
      {
        "id": 73813,
        "title": "🦊 Inari: AI-Powered Customer Insights Hub",
        "tagline": "Customer feedback that analyzes itself ✨. Unify your feedback then automatically analyze and generate product insights at scale.",
        "body": "## **TL;DR**\n\n[**Inari**](https://useinari.com/) is the AI-powered hub for unifying customer feedback and generating product insights. Instead of sifting through 100’s of pages of user interviews or 1000’s of pieces of customer feedback manually, you can use Inari to consolidate customer feedback across data sources, automatically highlight useful quotes, categorize sentiment, and generate insights. You can use this data to understand what’s on your customer’s minds, figure out which themes will boost engagement and retention, then prioritize your roadmaps.\n\n**If any product, UX research, design, support, or other teams want an automated way to analyze customer themes, requests, quotes, and other insights for planning, triaging requests, and other use cases - let us know and we’d love to get this live for you (**[**frank@useinari.com**](mailto:frank@useinari.com)**)!**\n\n## **The Problem(s)**\n\n* Product, design, and engineering teams rely on feedback and research data for insights and empathy for building products people love. However, this data lives across several sources like Salesforce, Zendesk, customer interviews living in PDFs, and data sitting in CSVs so it’s tough to maintain a 360-degree view of opportunities to improve customer experience.\n* It’s time consuming to manually sift through, analyze, and tag customer feedback data to be used for roadmap and feature planning. Having to deal with and endless amount of copying and pasting feedback + fiddling with context limits in ChatGPT and Claude is also mind-numbing. We had several designers and UX researchers come inbound saying they have to sift through 100+ pages of customer research transcripts for themes 🤯.\n* It’s hard to know the exact volume of customers that are mentioning a specific problem or topic and having this data on hand is critical for sizing magnitude for problems when deciding what features or themes to prioritize.\n\n## **How It Works**\n\n**Consolidate feedback in one place**: Sales notes, user interviews, Slack requests, CSVs with customer feedbacks... unify them all in Inari. Inari ingests feedback from unstructured and structured sources, consolidates them into a unified hub, then provides a streamlined workflow to manage it all.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/2af2e6fe-cd27-440c-9b01-04280bc2bd08)\n\n**Automate feedback analysis**: Inari automatically analyzes customer sentiment and highlights top requests, defects, praises, and learnings across your customer feedback and interviews so your team doesn't have to review hundreds of sources manually.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/e23cb606-4066-4836-9a8e-d0f31088949c)\n\n**Surface product insights automatically**: Reduce churn and build delightful products based on insights, feature requests, bug fixes, and learnings that Inari extracts from connected feedback. Inari attributes insights to the feedback most related to it, so you can size how frequently an issue is mentioned when prioritizing your backlog.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/5b4dc325-9975-4d3c-8dc6-1ec5faa5bdb1)\n\n**Visualize customer trends**: Search, filter, and monitor trends in dashboards built on your consolidated feedback, insights, and customer data.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/735992d9-bf16-4b47-b3bd-ae79590a1e7e)\n\nCheck out the quick product demo [here](https://www.youtube.com/watch?v=N91aAfrWZ4E&t=5s).\n\n## **Founder Background**\n\nFrank and Eric met back in 2014 while working together at Amazon. Eric worked @ AWS for 7 years building out Sagemaker, owned their XGBoost image, and deployed algos for the US government before transitioning to full-stack eng for securely managing health and bio data @ Betteromics. Frank worked on ML algorithms an interfaces @ Opendoor between 2016-2020 and managed products like NBA Top Shot + business intelligence teams @ Dapper Labs and Amazon.\n\n## **Our Asks 🙏🏼**\n\n* If you know any teams struggling with extracting takeaways from their feedback data, whether it’s thousands of structured feedback from Zendesk or a few 10 page customer interview transcripts, send them our way and we’d love to help them out! Reach us at [frank@useinari.com](mailto:frank@useinari.com) or [eric@useinari.com](mailto:frank@useinari.com).\n* We’d love any feedback! Especially around how your team is currently managing feedback and roadmap items, any frustrations, and which datasets you need handled.",
        "url": "https://www.ycombinator.com/launches/JCX-inari-ai-powered-customer-insights-hub",
        "votes": 34,
        "created_at": "2023-08-04T14:55:51.908Z"
      }
    ]
  },
  {
    "id": 29010,
    "name": "Silimate",
    "slug": "silimate",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61f4bbb4f45487fb9514316eae7b6e1b1c316a4a.png",
    "website": "https://www.silimate.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building AI-native tools & agent-driven workflows for frontend chip design. \r\n\r\nToday, Fortune enterprises and chip unicorns license Silimate to hit their PPA targets and functional closure in days instead of months. With Silimate, chip companies tape out better, more market-competitive chips much more quickly.",
    "one_liner": "Fast, efficient agents for chip design and debug",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1691095117,
    "tags": [
      "Developer Tools",
      "B2B",
      "Enterprise Software",
      "Semiconductors",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/silimate",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/silimate.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/silimate",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/Silimate",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61f4bbb4f45487fb9514316eae7b6e1b1c316a4a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1313634,
        "full_name": "Ann Wu",
        "title": "Founder",
        "founder_bio": "Co-founder & CEO of Silimate. Ann designed several generations of custom silicon at Apple, helped manage the inference ASIC programs at Meta, and developed product strategy & execution at an AI chip start-up.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/annwuhoo",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfc547915f4496607e7258cfc4e7e599b544c122.jpg"
      },
      {
        "user_id": 1184182,
        "full_name": "Akash Levy",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO of Silimate. Akash has a PhD from Stanford in Electrical Engineering, with technical expertise spanning EDA, AI, and cloud through his time at Synopsys, NVIDIA, and AWS. He has taped out 3 chips, published 14 papers on circuit design, and has two pending patents in the EDA space.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akashlevy/",
        "x_url": "https://twitter.com/akashlevy",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fda997887e28bf5a1fcf455cfa51c65aaeb83b89.jpg"
      }
    ],
    "jobs": [
      {
        "id": 102953,
        "title": "Chip/EDA/Software Intern",
        "url": "https://www.ycombinator.com/companies/silimate/jobs/6CTGk7H-chip-eda-software-intern",
        "location": "Mountain View, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$5.2K - $7K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102954,
        "title": "Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/silimate/jobs/RVX3ulq-applied-ai-engineer",
        "location": "Mountain View, CA, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$140K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 102955,
        "title": "Chip/Software Engineer",
        "url": "https://www.ycombinator.com/companies/silimate/jobs/kxgYCET-chip-software-engineer",
        "location": "Mountain View, CA, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 102956,
        "title": "Applied AI Intern",
        "url": "https://www.ycombinator.com/companies/silimate/jobs/xt2UihN-applied-ai-intern",
        "location": "Mountain View, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$5.2K - $7K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102957,
        "title": "AI Research Intern",
        "url": "https://www.ycombinator.com/companies/silimate/jobs/BUbLN9M-ai-research-intern",
        "location": "Mountain View, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$5.2K - $7K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Preparing For AI-Driven Chip Design And Verification",
        "url": "https://semiengineering.com/preparing-for-ai-driven-chip-design-and-verification/",
        "date": "Jul 27, 2026"
      },
      {
        "title": "AI In Chip Design: Lots Of Promise, Plenty Of Unanswered Questions",
        "url": "https://semiengineering.com/ai-in-chip-design-lots-of-promise-plenty-of-unanswered-questions/",
        "date": "Jul 15, 2026"
      },
      {
        "title": "Executive Outlook: Agentic AI's Impact On Chip Design",
        "url": "https://semiengineering.com/executive-outlook-agentic-ais-impact-on-chip-design/",
        "date": "Jun 25, 2026"
      },
      {
        "title": "Agentic AI and the Future of Chip Design: From Productivity Tool to Engineering Partner - SemiWiki",
        "url": "https://semiwiki.com/semiconductor-services/esd-alliance/370229-agentic-ai-and-the-future-of-chip-design-from-productivity-tool-to-engineering-partner/",
        "date": "Jun 15, 2026"
      },
      {
        "title": "Silimate CEO pioneers AI debugger for chip designers",
        "url": "https://stanforddaily.com/2026/03/11/silimate-ceo-pioneers-ai-debugger/",
        "date": "Mar 11, 2026"
      }
    ],
    "launches": [
      {
        "id": 73953,
        "title": "👾 Silimate - Copilot for chip designers",
        "tagline": "Design the right semiconductors chips in less time",
        "body": "**TL;DR: Silimate helps chip teams converge to functional correctness and optimized PPA faster, so that they can build better chips in less time.**\n\n# \n\n# **❌ The Problem**\n\nThe world needs specialized semiconductor chips to be built faster for the rapidly-evolving software workloads in datacenters and at the edge.\n\nYet, chip teams today face time- and effort-intensive bottlenecks in converging to functional correctness and optimized PPA (power/performance/area). These bottlenecks account for most of the typical 12-18 month chip development cycle, and impede chip teams’ ability to make important changes to their designs in late project stages — when real, data-driven issues tend to surface from simulations.\n\n# \n\n# **✨ Our Solution**\n\nSilimate finds functional bugs, predicts PPA issues, and recommends real fixes in real-time alongside RTL development. Chip designers get a context-aware RTL companion that helps them write correct, PPA-optimized RTL from the onset, and build better chips in less time.\n\n**We’re live with chip design teams today.**\n\nIf you’re a chip designer or lead a chip design team, we can help you eliminate weeks/months from your design cycles. Reach out to us to schedule a live demo!\n\n# \n\n# **🌎 Why Now**\n\nDeath of Moore’s Law, an explosion of custom chip architectures, geopolitics, talent shortage, massive demand for AI chips, and increasing complexities in advanced chip design – we’re building the critical pickaxe for the AI and edge [silicon renaissance](https://www.forbes.com/sites/robtoews/2020/05/10/artificial-intelligence-is-driving-a-silicon-renaissance/?sh=3566b040553c).\n\n# \n\n# **👋 Contact us at [hello@silimate.com](mailto:hello@silimate.com) to learn more!**\n\n* If you’re a chip designer or lead a chip design team, email us – we’ll help speed up your RTL development cycles.\n* If you’re not a chip designer but know one (or a few), send them our way!",
        "url": "https://www.ycombinator.com/launches/JEn-silimate-copilot-for-chip-designers",
        "votes": 65,
        "created_at": "2023-08-09T16:29:19.599Z"
      }
    ]
  },
  {
    "id": 29013,
    "name": "Sweep",
    "slug": "sweep",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/885d2be670d352a8d396403e926005fd75ce210b.png",
    "website": "https://sweep.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Use your favorite JetBrains IDE without compromising on AI. Sweep is the best autocomplete and agent in JetBrains: https://plugins.jetbrains.com/plugin/26860-sweep-ai",
    "one_liner": "The best AI coding assistant for JetBrains",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1684527271,
    "tags": [
      "Developer Tools",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sweep",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sweep.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/95674114/",
    "x_url": "https://twitter.com/sweep__ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/sweepai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/885d2be670d352a8d396403e926005fd75ce210b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1214046,
        "full_name": "William Zeng",
        "title": "Founder",
        "founder_bio": "Youngest senior MLE at Roblox. Cumulative 10% CTR lift on games search.\nStats/ML at CMU.\n\nBuilding Sweep, a Cursor alternative for JetBrains.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/william-zeng",
        "x_url": "https://twitter.com/wwzeng1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ea14a52703b3d5d1bc15d010a715f0a74723845.jpg"
      },
      {
        "user_id": 1343086,
        "full_name": "Kevin Lu",
        "title": "Founder",
        "founder_bio": "Previously: top of class at UWaterloo CS, built the first ML-based skin weight generation model for UGC avatars at Roblox, and NLP researcher on common sense reasoning (in the Bart/T5 era). Now building an AI-powered junior dev and interested in code gen and automated code gen orchestration.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevinlu1248",
        "x_url": "https://twitter.com/kevinlu1248",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d02bf268302d4c204515d4fc779599313b25875c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 65798,
        "title": "ML Research Engineer (Full-time / Internship)",
        "url": "https://www.ycombinator.com/companies/sweep/jobs/8dUn406-ml-research-engineer-full-time-internship",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $300K",
        "equity_range": "1.00% - 4.97%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Kotlin",
          "Python",
          "Machine Learning"
        ]
      }
    ],
    "news": [
      {
        "title": "Sweep aims to automate basic dev tasks using large language models | TechCrunch",
        "url": "https://techcrunch.com/2023/11/02/sweep-aims-to-automate-basic-dev-tasks-using-large-language-models/",
        "date": "Nov 02, 2023"
      }
    ],
    "launches": [
      {
        "id": 95289,
        "title": "🧹 Sweep: Cursor Tab for JetBrains IDEs",
        "tagline": "Meet Sweep, the smartest autocomplete for IntelliJ, PyCharm, and Android Studio",
        "body": "Hi everyone! We’re [Kevin](https://x.com/kevinlu1248) and [William](https://www.linkedin.com/in/william-zeng/), and we’re building a better AI autocomplete for JetBrains.\n\n**TLDR;** [Sweep](https://sweep.dev/) is a free autocomplete plugin for IntelliJ / PyCharm that is smarter than Cursor Tab.\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/931362f2-24b9-4d5b-aa4b-778cd98aacbc)\n\n# The Problem\n\nDevelopers writing production-grade code need tools like autocomplete that keep them in the loop rather than agents that take them out of it.\\\n\\\nJetBrains users don’t have an AI autocomplete that works well. The leading plugins are not products that users love:\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/f78574aa-2dfe-4d58-82a5-a284b8ca1147)\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/72d4698c-42be-404b-9d1b-9b6d9869d201)\n\n# Our Solution: Sweep 🧹\n\nWe’re building tools for professional developers using JetBrains, starting with super fast autocomplete that’s smarter than Cursor Tab.\\\n\\\nWe’ve fine-tuned our own LLM with a custom inference stack that suggests completions with sub-100ms latency. Unlike Cursor, we use the JetBrains code index to let our autocomplete model navigate your code like a real developer.\n\nWe’ve heard great feedback so far:\n\n_“AI is finally useful inside JetBrains — thanks to sweep. **A million times better than JetBrains’ own tools.**” -_ Christiaan Bilthof, CTO @ Leat\n\n_“Compared to every other tool and IDE I've used, **it's incredibly fast** - so much so that the next tab predictions and autocomplete feel instantaneous.” -_ Ashkan Aghdai, Staff Engineer @ Amplitude\\\n\\\n_“I used to have to choose between using PyCharm and good autocomplete - but with Sweep, I get both. **It’s a massive productivity boost.**”_ **-** Josiah Parappally, Staff Engineer @ Ramp\n\n## Why we built Sweep\n\nWe originally started Sweep in 2023 to build an AI junior developer, which hit 7.6k stars on GitHub.\n\nWe soon realized that this was many years out. Instead, we decided to build a coding assistant that developers could use today. Kevin and I have been JetBrains users since we were in college, and we were surprised something like this didn’t exist yet.\n\nWe built Sweep for ourselves, and use Sweep Tab hundreds of times a day to write production-grade code instead of vibe coding. It’s boosted our productivity by 2x and we hope you like it too. \\\n\\\nTry Sweep for free here: https://plugins.jetbrains.com/plugin/26860-sweep-ai-autocomplete--coding-agent",
        "url": "https://www.ycombinator.com/launches/Omv-sweep-cursor-tab-for-jetbrains-ides",
        "votes": 12,
        "created_at": "2025-11-07T17:26:45.064Z"
      },
      {
        "id": 88553,
        "title": "Sweep: JetBrains AI Coding Assistant",
        "tagline": "We built a self-hostable AI coding assistant for JetBrains IDEs",
        "body": "Hey everyone, we’re [William](https://www.linkedin.com/in/william-zeng/) and [Kevin](https://www.linkedin.com/in/kevinlu1248/) - cofounders of Sweep 🧹\n\n\\\n**TLDR**: JetBrains developers have to choose between **the latest AI features** **and the** **IDE that they love**. Sweep is an AI coding assistant purpose-built for JetBrains that **gives you both**.\n\nAsk: Is your team using JetBrains? Reach out at [william@sweep.dev](mailto:william@sweep.dev) or [book a demo here](https://calendly.com/william-sweep/introductory-call?month=2025-03).\n\n# Problem\n\nCurrent AI coding assistants have poor support for JetBrains. GitHub Copilot in JetBrains is a far cry from VSCode, and other plugins aren’t much better.\\\n\\\nWe’ve heard:\n\n_“I love the features in JetBrains as an IDE but the AI sucks”_\n\n_“I see all of these AI coding assistants on VSCode, and I check if they support JetBrains, and I always get disappointed when they don’t.”_\n\nEngineers who don’t use AI coding assistants are less productive. But engineers who have to switch away from their IDEs are even less productive.\n\n# Solution\n\nSweep makes it easy to use AI in JetBrains with our self-hostable plugin. **Engineers keep their existing code editor with no data leakage and the** **best AI features**.\\\n\\\nWe make it seamless to give the AI context. Sweep automatically sees the current file and codebase, saving you precious clicks.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/6211a915-8ad9-480b-8aa9-7389f4e99fbb)\n\nBy clicking “apply” you can seamlessly review and integrate Sweep’s code changes.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/a4ff0a2c-7b7a-48dc-9507-9785c19e0020)\n\nFinally, we can **deploy everything on-prem**, unlike other AI coding assistants that take your code and data.\n\n# Our Ask 🙏\n\n**Sweep is available on the JetBrains marketplace today.** Try us out here: [docs.sweep.dev](http://docs.sweep.dev).\\\nTo learn more about our on-prem deployments you can [book a call here](https://calendly.com/william-sweep/introductory-call?month=2025-03).\n\n# About Us\n\nWilliam (CEO) was promoted to a Senior ML Engineer at Roblox in 1.5 years. Kevin (CTO) was the top student in his class at U Waterloo for Math and CS. Martin (Founding Team) was working as a Senior Engineer before he graduated college.\n\nWe’re all big IntelliJ and PyCharm users, and we previously built an AI coding agent with >7k github stars.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/e0e011e5-25b6-4c72-9ecd-bd9262ee905a)\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/85da6a03-4c5b-4961-9bd2-656ba38c4dbc)\n\n",
        "url": "https://www.ycombinator.com/launches/N2H-sweep-jetbrains-ai-coding-assistant",
        "votes": 31,
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        "title": "🚀 Inventive.ai - AI-First RFP and Questionnaire Response Platform",
        "tagline": "Inventive enables sales teams to drive 70%+ efficiency in sales response workflows.",
        "body": "# **♥️ TL;DR ABOUT INVENTIVE ♥️**\n\n[Inventive](https://www.inventive.ai/?utm_source=yc&utm_medium=launch-yc) is on a mission to drive 10x productivity in sales workflows with AI Agents. Our product, the Inventive platform, enables sales teams to respond to RFPs and Sales Questionnaires in a fraction of the time.\n\nSee a short video here: <https://www.youtube.com/watch?v=dZdaD_1zo8Q>\n\n# **☝️ PROBLEM ☝️**\n\nIn the US, projects > $1 Trillion get allocated via RFPs. in public and private domains across technology, defense, construction & more. But responding to RFPs is daunting and challenging\n\n1. **RFPs are daunting:** Responding to RFP responses can take anywhere from a few hours to a few months\n2. **Dependency on SMEs:** Often require time and commitment from multiple teams within the organization:\n3. **Knowledge Management is a huge pain:** Keeping content fresh and up-to-date is a huge challenge.\n\n# **😃 MEET INVENTIVE 😃**\n\nInventive provides a series of agents and automation that enable sales teams to respond to RFPs and sales questionnaires 70% faster.\n\n1. **10X Faster Drafts With Highly Accurate Responses:** Inventive's proprietary AI models provide a first draft of RFP responses 10X faster. These responses are accurate, reliable, and rooted in the organization’s sources.\n\n   ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/1ca07bf9-9d8b-4032-afec-20416771da84)\n\n2. **Single Hub for All Your Knowledge Sources:** Inventive integrates with many of your enterprise platforms, curating a single source of truth for all your proposal and pre-sales assets and reducing the dependency on SMEs.\n\n   ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/832eef88-dca5-46e3-bfa6-cbfede9d6b26)\n\n3. **Fight Conflicting Content With AI Content Manager:** Inventive’s AI Content Manager proactively flags stale and conflicting content at scale, saving proposal teams a lot of time and manual effort.\n\n   ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/97898914-534e-43b0-bb97-a4f6f3b7e5bd)\n\n4. **AI Agents for Productivity & Competitive Advantage:** The Inventive platform has a number of AI Agents focused on strategic tasks and can help users with researching competitors, brainstorming creative ideas, and managing compliance.\n\n   ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/5064df2e-50a0-463c-ba5e-1583309f1f2a)\n\n\n# **🎉 OUR CUSTOMERS LOVE US 🎉**\n\n> _“Inventive has been a game changer for us. We have been 3X more productive.”_\n\n> _“Our Solutions Engineering team has experienced remarkable improvements in speed and accuracy with Inventive.”_\n\n> _“We are being down selected and winning more RFPs than ever before!”_\n\n# **🗓️ REACH OUT 🗓️**\n\nBook a free demo at [http://www.inventive.ai/demo](https://www.inventive.ai/demo?utm_source=yc&utm_medium=launch-yc)",
        "url": "https://www.ycombinator.com/launches/Lqv-inventive-ai-ai-first-rfp-and-questionnaire-response-platform",
        "votes": 52,
        "created_at": "2024-09-13T15:02:15.238Z"
      },
      {
        "id": 73748,
        "title": "Inventive AI: Automate responses to sales information requests with AI",
        "tagline": "Generate reliable and accurate responses to security reviews, RFPs, DDQs, and RFIs and lower your time-to-revenue.",
        "body": "**TL;DR:** _Sales information requests are an important part of most sales deals. But they are long and tedious to complete accurately and need repeated involvement from senior team members. Inventive AI automates this process using AI. Our platform natively manages the fidelity of each response by providing sources, a confidence rating and automatically flagging stale content._\n\n### **Problem ⚠️**\n\nA sales information request like a security questionnaire, RFI, DDQ and RFP is an important step to complete in every sales deal. Each one’s a grind though! A typical sales questionnaire has an average of 77 questions and the average time to complete one is 32 human hours.\n\n* Coordinating the completion of a sales information request usually takes days to weeks depending on the complexity. Dhiren faced this challenge with his sales team at Viewics where they had momentum in the sales motion but they knew that this step would slow down time to revenue. No one person has the answers to all the questions which makes it challenging to search for answers in a knowledge base or chase down answers from the SMEs who are senior team members → and busy with their day job!\n* If an answer is found in a knowledge base, it’s difficult for the coordinator to ascertain if the content is current or obsolete. Inevitably, this uncertainty leads to a senior team member having to validate the answer. Result → Slows down the sales motion!\n\n### **Our Solution 👋**\n\nThe Inventive AI platform automates drafting responses that can be trusted and does so in a fraction of the time compared to the current process. We do this by:\n\n* **Generating responses grounded in facts:** We use your previous responses and connect to company knowledge bases to generate a response. For each answer, we include easily accessible citations to the sources used to generate the answer.\n* **Creating a Confidence Rating:** We generate a confidence rating for each answer and automatically flag answers that need review.\n* **Detecting Stale Content:** We automatically flag content that could be obsolete and thereby inaccurate.\n* **Creating compelling answers:** You have control over the tone of the answers while keeping the facts intact.\n\nOur goal is that you only have to **_verify responses,_** not create them from scratch for every sales information request. Most existing SaaS tools cater to streamlining the process of response creation. With our AI native solution, our customers only verify flagged answers while we do the heavy lifting of generating an accurate response to each question.\n\n![uploaded image](/media/?type=post&id=73748&key=user_uploads/150549/7482b2fd-7d43-4036-a5ce-50016d40c592)\n\n### **Team** 🍻\n\nWe are an SF Bay Area native team who met through our friend’s circle and hit it off on our love and passion for AI & building businesses.\n\n[**Dhiren**](https://www.linkedin.com/in/dhiren9/) previously founded and led Viewics (series-B, acquired by Roche), a SaaS company in healthcare analytics that managed data for **100Mn+ patients** across customers like Mayo Clinic, University Hospitals, and Children’s Hospitals.\n\n[**Gaurav**](https://www.linkedin.com/in/gauravnemade/) was a product manager at **Google AI and Google Brain** and led go-to-market for the LLM platform - LaMDA - which eventually ended up powering Google Bard v1.\n\n[**Vishakh**](https://www.linkedin.com/in/vishakhhegde/) led mission-critical Machine Learning efforts at **Ambient AI** (YC17, A16z) and has authored a book on Deep Learning. He has a Masters's in ML from Stanford.\n\n[**Waffle**](https://photos.app.goo.gl/wbrecuk6xnHjBim68) is a world leader in sniffing for treats and cheering us up on hard days. She is our (non-AI) Happiness Agent.\n\n![uploaded image](/media/?type=post&id=73748&key=user_uploads/1359485/ef976aa8-0d12-410f-a569-6b44fc5a2247)\n\n### **Requests** 👋🏻\n\n* If you have ever dealt with requests like security questionnaires or RFP, we would love to get in touch! [**Reach out to us!**](https://tally.so/r/w7LDD6)\n* Email us to schedule a demo - [**founders@getinventive.ai**](mailto:team@getinventive.ai)\n\nBeing built with ❤️ by team Inventive :)",
        "url": "https://www.ycombinator.com/launches/JBU-inventive-ai-automate-responses-to-sales-information-requests-with-ai",
        "votes": 28,
        "created_at": "2023-08-03T15:06:47.318Z"
      }
    ]
  },
  {
    "id": 29041,
    "name": "Langdock",
    "slug": "langdock",
    "former_names": [
      "Security"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e209d278473c98c7356a71ec3f7357fa784222a3.png",
    "website": "https://langdock.com",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Langdock is a comprehensive and secure platform for deploying AI in companies. From a powerful chat interface for all employees to tools for creating custom workflow automations with AI-driven agents.",
    "one_liner": "The all-in-one AI platform for companies.",
    "team_size": 65,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1690080205,
    "tags": [
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "Germany",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/langdock",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/langdock.json",
    "year_founded": 2023,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/langdock/",
    "x_url": "https://twitter.com/langdock_hq",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/Langdock",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e209d278473c98c7356a71ec3f7357fa784222a3.png",
    "app_video_url": null,
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    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1b19b7751a6985460e4d0842314ccffae3c1ad2d.png"
    ],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 460543,
        "full_name": "Lennard Schmidt",
        "title": "Founder",
        "founder_bio": "Building langdock.com :)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lennardschmidt",
        "x_url": "https://twitter.com/lenschmi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e1821dad26b33de0218d4c943934533e6253590.jpg"
      },
      {
        "user_id": 803591,
        "full_name": "Jonas Beisswenger",
        "title": "Founder",
        "founder_bio": "Building Langdock (S23)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jonasbeisswenger",
        "x_url": "https://twitter.com/jbeissw",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/478ce4be45b60ff22216deb83c47b09aa11625c5.jpg"
      },
      {
        "user_id": 1330611,
        "full_name": "Tobias Kemkes",
        "title": "Founder",
        "founder_bio": "Before Langdock, I was the founding engineer at Blair (YC S19) and built an end-to-end automated servicing platform to manage their $100M debt facility. The platform was audited, handled sensitive data, and moved millions of dollars around. I later became Blair's first head of product, managing a team of five engineers.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tobiaskemkes",
        "x_url": "https://twitter.com/tobiaskemkes",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c280b21b081eeb0aca67a26d3732e7d136088b6f.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Langdock raises $3M with General Catalyst to help companies avoid vendor lock-in with LLMs | TechCrunch",
        "url": "https://techcrunch.com/2024/04/19/langdock/amp/",
        "date": "Apr 19, 2024"
      }
    ],
    "launches": [
      {
        "id": 73432,
        "title": "Langdock: The GDPR-compliant ChatGPT for your team",
        "tagline": "Employees are already using ChatGPT, we help companies to embrace the technology in a compliant way.",
        "body": "Hey everyone! We’re Tobias, Jonas, and Lennard from Langdock. We are in the current YC batch and excited to launch our product today!\n\n![uploaded image](/media/?type=post&id=73432&key=user_uploads/460543/1c6d378f-7ca9-4804-9abf-b3fb287db16e)\n\nWe initially built a product that enabled developers to easily create LLM Plugins across ChatGPT and LangChain. We quickly gained a few hundred users, and through conversations with them, we learned a lot about the duality of fear and excitement around LLMs within companies.\n\nThat is why we started building the GDPR-compliant ChatGPT for teams, enabling companies to easily and safely embrace the productivity increase of ChatGPT. Professionals are already using ChatGPT individually — we help companies manage & control the usage and help employees share conversations with co-workers.\n\n**The Problem: Using ChatGPT as an employee is not compliant**\n\n* ChatGPT is already increasing the productive output of employees\n* ChatGPT is not compliant, and companies either look the other way, explicitly forbid its usage or build internal tooling to replicate the ChatGPT experience (e.g. Stripe)\n* Companies have no simple way of managing how employees engage with tools like ChatGPT\n\n**The Solution: GDPR-compliant ChatGPT for Teams**\n\n* We are building the model-agnostic application layer for companies, enabling companies to enable and disable models that are available to their users\n* We enable companies to enforce their rules on data privacy and access\n* We help companies easily manage the users of their organizations, analyze the usage, and upskill them to make use of LLMs\n\n**Our Request**\n\n* If you are considering embracing ChatGPT within your company to increase knowledge worker productivity, please get in touch via [lennard@langdock.com](mailto:lennard@langdock.com)!",
        "url": "https://www.ycombinator.com/launches/J6O-langdock-the-gdpr-compliant-chatgpt-for-your-team",
        "votes": 66,
        "created_at": "2023-07-26T04:11:42.148Z"
      }
    ]
  },
  {
    "id": 29042,
    "name": "Santé",
    "slug": "sante",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d10be62025bd08a71a16a6b40cd46744ed418b47.png",
    "website": "https://santehq.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "",
    "one_liner": "All-in-one POS for liquor stores",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1684850998,
    "tags": [
      "Fintech",
      "SaaS",
      "B2B",
      "Retail"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Retail"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sante",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sante.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d10be62025bd08a71a16a6b40cd46744ed418b47.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 944994,
        "full_name": "Darren Fike",
        "title": "Founder",
        "founder_bio": "10 years of Sales and Marketing experience at startups like Fast and Bond. \n\nCurrently: Co-Founder / CEO of Santé; Toast for liquor stores. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/darrenfike",
        "x_url": "https://twitter.com/darrenfike",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46f25949476ef21e88a9939fe30391f32bde160c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 79917,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/sante/jobs/7rJnVUS-sales-development-representative",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $120K",
        "equity_range": "0.15% - 0.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85970,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/sante/jobs/oxtGcli-account-executive",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.10% - 0.25%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 86945,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/QnEEC9K-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$80K - $120K",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102678,
        "title": "Customer Experience Manager",
        "url": "https://www.ycombinator.com/companies/sante/jobs/hZPgZ7E-customer-experience-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103671,
        "title": "Head of Content",
        "url": "https://www.ycombinator.com/companies/sante/jobs/p2P43c9-head-of-content",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.10% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105460,
        "title": "Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/uqzHIY0-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$230K - $300K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105461,
        "title": "Senior Engineer - Money Movement",
        "url": "https://www.ycombinator.com/companies/sante/jobs/244pt5F-senior-engineer-money-movement",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$230K - $300K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105462,
        "title": "Founding Growth Marketer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/JZuHyLJ-founding-growth-marketer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112874,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/sZ66lLT-product-designer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 73086,
        "title": "Santé - The all-in-one POS for liquor stores",
        "tagline": "Manage your business in one powerful application specifically built for liquor stores.",
        "body": "# Overview\n\nSanté is the all-in-one POS for liquor stores. Our mission at Santé is to empower tens of thousands of liquor store owners to run their businesses more efficiently using modern software.\n\n# Problem\n\n91% of liquor stores are independently owned and operated. Stores are often understaffed and rely on antiquated systems to manage day-to-day operations. A few examples of common problems for liquor stores:\n\n* Spending hours per week on manual data entry for inventory receiving and creating purchase orders.\n* Dealing with complex interstate regulations to sell liquor online (a growing trend).\n* Working with poor integrations for local delivery (Drizly, DoorDash, Instacart, etc).\n* Mishandling products at checkout because many beers/wines do not have barcodes.\n* Losing sales due to poor integration between their POS and marketing tools.\n* Losing a meaningful portion of their inventory to theft ($5B+ lost across the industry annually).\n\nIn fact, one of our early customers called this industry a “dinosaur industry” after sending us this picture:\n\n![uploaded image](/media/?type=post&id=73086&key=user_uploads/944994/e85195fe-bd46-4385-9b1f-6fc29d05eff4)\n\n# Solution\n\nWe’re helping independent liquor stores run thriving businesses with a POS built from the ground up to serve their specific needs:\n\n* **Simple Receiving:** Saving hours per week with automated inventory receiving and purchase order management\n* **Theft Monitoring:** Using RFID tags on every bottle to track when stolen bottles are leaving the store\n* **Compliance Management:** Source of truth on state-by-state shipping so that stores can open a new revenue stream and ship to all available states across the country\n* **Robust integrations:** Cutting costs by giving store owners all the tools they need to run their business with one subscription to Santé\n\n# Founders\n\n[@Darren](https://www.linkedin.com/in/darrenfike/), Santé’s CEO, was the top sales rep at his last two startups, and he has a passion for wine. Last year, he realized that his favorite local liquor stores in NYC still heavily rely on pen and paper. To learn more about the problem, he spent the next four months working at Frankly Wines on nights and weekends and interviewed over a hundred liquor store owners.\n\n[@Antoine](https://www.linkedin.com/in/antoinebalaresque/), Santé’s CTO, is a UC Berkeley alum and has founded multiple startups in the past in robotics, e-commerce, and SaaS. He is originally from France.\n\n# Give us a hand!\n\nHave any friends or family that work in the liquor store industry that would be interested in a casual discovery call? \n\nReach out to Darren at [darren@santehq.com](mailto:darren@santehq.com) to coordinate an intro. ",
        "url": "https://www.ycombinator.com/launches/J0o-sant-the-all-in-one-pos-for-liquor-stores",
        "votes": 28,
        "created_at": "2023-07-14T18:31:57.403Z"
      }
    ]
  },
  {
    "id": 29045,
    "name": "Movley",
    "slug": "movley",
    "former_names": [
      "Movley",
      "OpsNinja"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79242638b23a78d632224e08f484f02f5318f098.png",
    "website": "https://movley.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Movley is your e-commerce brand's product quality control department. Built by sellers, and trusted by 800+ brands. Are you a Shopify or Amazon seller? Sign up in 30 seconds to start monitoring your product quality for free!",
    "one_liner": "Your e-commerce brand's product quality control department.",
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        "full_name": "Nico Magni",
        "title": "Founder",
        "founder_bio": "Hello! I'm Nico Magni, the Chief Product Officer (CPO) at Cedalio, a database that tracks every application data change, and maintains an immutable and verifiable history. As a software engineer, I am passionate about building innovative solutions that tackle real-world challenges. \n\nI had the opportunity to sell my previous company to Accenture, where I gained invaluable experience in successfully scaling and delivering high-quality products.\n\nCurrently based in Patagonia, Argentina.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nicomagni",
        "x_url": "https://twitter.com/nicomagni",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b50b0e99062e30e6076be3a4f9199d4d49e1f1c6.jpg"
      },
      {
        "user_id": 1355935,
        "full_name": "Guido Marucci Blas",
        "title": "Founder",
        "founder_bio": "CTO & co-founder at Cedalio. Previously CTO & co-founder at Wolox (acquired by Accenture). Argentinean. Passionate about building amazing developer experiences, lowering the barrier to entry to web3 and working in the intersection of developer tools and data privacy. When I'm not working I love going outdoors ⛰️, playing the guitar 🤘 and hanging out with friends! ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/guidomb",
        "x_url": "https://twitter.com/guidomb",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e690e1ce5a76e9f177c6960b95b28ba7dc9ee2c0.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 75973,
        "title": "Cedalio: where sustainability meets data",
        "tagline": "Unify, automate, verify — your trusted data platform for ESG",
        "body": "Dear YC Community,\n\nWe're elated to present our latest offering. Cedalio's core technology has always been centered around a blockchain-enabled database ensuring data **transparency, verification, and integrity**. With our latest launch, we've taken this a step further.\n\n![uploaded image](/media/?type=post&id=75973&key=user_uploads/1337055/0181388c-9132-4361-9ee1-31ad7602713f)\n\n\\\nKey Features:\n\n* **AI data extraction:** Leverage our AI-powered data extraction capabilities to seamlessly collect information from various sources – from utility bills to supplier forms. Our automated consolidation feature integrates with your existing systems, centralizing all data into a single source of truth. Say goodbye to manual data wrangling and hello to real-time, centralized information.\n* **Radical Transparency:** Trust is the foundation of sustainability. Our platform leverages blockchain technology to create an immutable, auditable trail of your data transactions. Enhance transparency and build credibility with stakeholders, knowing your information is accurate, secure, and tamper-proof.\n* **AI-Assisted Reporting:** Unlock the power of your data with our AI-assisted reporting tools. Generate comprehensive, auditable reports tailored to your specific needs, or export data in your preferred format for in-depth analysis.\n\n<https://www.youtube.com/watch?v=80U2voY6IaU>\n\nThe development of our product was largely influenced by the feedback and insights we received from our partners in the traceability sector. Their challenges in ensuring transparent ESG reporting and undeniable proof of product origins drove us to create a solution that addresses these pain points head-on.\n\nWe invite you to delve deeper into Cedalio, explore its features, and contact us if you see any way of collaborating.\n\nWarm regards,\n\nThe Cedalio Team",
        "url": "https://www.ycombinator.com/launches/JlN-cedalio-where-sustainability-meets-data",
        "votes": 11,
        "created_at": "2023-11-06T16:05:26.769Z"
      },
      {
        "id": 72841,
        "title": "💥 Cedalio — A blockchain empowered alternative to Firebase",
        "tagline": "Build apps with data that is auditable and verifiable by default",
        "body": "[Cedalio](https://www.cedalio.com) is a platform that helps you build apps with information that is auditable by default. Data used in your application can be traced back to its origin for verification. Even more, with us you can give your users real ownership and portability of their data across different applications.\n\n## 📚 **TL;DR**\n\n* Cedalio provides companies with the tools to build trust and accountability by offering transparent, auditable data.\n* With Cedalio, organizations prioritizing user privacy can empower users with true ownership of their data, promoting its portability across various applications.\n* By storing access control information on-chain, Cedalio ensures a censorship-resistant database, safeguarding information integrity.\n\n![uploaded image](/media/?type=post&id=72841&key=user_uploads/1337055/6fdf4c1c-3f4b-474e-89b1-66ff7ef1d6ce)\n\n**_Interested? →_** Get started now at [**www.cedalio.com**](http://www.cedalio.com)\\\n**Do you have a new use case in mind? →** Let us know on our [**Discord**](https://discord.gg/kSdhmb9UUT)\\\n**_Do you want how it works under the hood? →_** Read our [**DocSite**](https://docs.cedalio.com/introduction/about-cedalio)\n\n## 👩‍💻 **How do we do it:**\n\n* **Verifiable data:** field-level certifications offers a means to validate the data's integrity, creating trust and assurance in the accuracy of the information.\n* **On chain access controls**: the access control rules are stored in a smart contract, ensuring a censorship-resistant database.\n* **On chain log:** by recording a detailed log of transactions on the blockchain, we enable auditability and the ability to reconstruct the database if needed.\n\n  ![uploaded image](/media/?type=post&id=72841&key=user_uploads/1337055/4b89dc51-7589-4412-9563-628a4e601507)\n\n\n## 🤑 **Backed by the best**\n\nSome of our early investors and believers include:\n\n* Y Combinator\n* Guillermo Rauch, CEO @Vercel\n* Esteban Ordano, CEO @Decentraland\n* Demian Brener, CEO @OpenZepellin\n\nFeel free to reach out to us with any questions or to learn more about Cedalio.\n\n_Join our _[_Discord_](https://discord.gg/kSdhmb9UUT)_ or shoot us an email_",
        "url": "https://www.ycombinator.com/launches/Iwr-cedalio-a-blockchain-empowered-alternative-to-firebase",
        "votes": 85,
        "created_at": "2023-07-07T00:02:03.539Z"
      }
    ]
  },
  {
    "id": 29073,
    "name": "Terracotta AI",
    "slug": "terracotta-ai",
    "former_names": [
      "Monitaur",
      "Monitaur (Pivoted)",
      "Monitaur",
      "OpsBerry AI (formally Monitaur)",
      "OpsBerry AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7901d3a776bcd60d2813e642a8814ea750bb84ef.png",
    "website": "https://tryterracotta.com",
    "all_locations": "Las Vegas, NV, USA",
    "long_description": "Terracotta AI is an AI-powered Infrastructure as Code PR reviewer for Terraform, OpenTofu, and CDK-TF code, making Infrastructure as Code changes more transparent, less risky, and faster.\r\n\r\nTerracotta stops your Infrastructure as Code deployments from becoming ticking time bombs every time you modify your environment with AI-driven, contextual feedback delivered directly to your pull requests.",
    "one_liner": "AI-powered Infrastructure as Code PR reviews",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1686680826,
    "tags": [
      "Developer Tools",
      "DevOps",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/terracotta-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/terracotta-ai.json",
    "year_founded": 2023,
    "city": "Las Vegas",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryterracotta",
    "x_url": "https://x.com/tryterracotta",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/enfraxyz",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7901d3a776bcd60d2813e642a8814ea750bb84ef.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eabe482f39bc0afc6cc8d9d7d476984b577f043f.png"
    ],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 925045,
        "full_name": "Carlos Feliciano",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Terracotta AI. Over a decade of experience in Infrastructure, monitoring, and operations at YC-backed startups and large enterprises. AWS Solutions Architect. Love PC gaming, fitness, the beach, and just good vibes!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/carlosfelicianoii",
        "x_url": "https://twitter.com/gtlpanda",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eeaf8878cafd92cf0af4729b52597c4c0f51b0a8.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 91358,
        "title": "Terracotta AI - AI agents for Infrastructure as Code workflows",
        "tagline": "Intelligent preflight checks for your Infrastructure as Code workflows inside of your PR",
        "body": "# **tl;dr**\n\nPlatform and DevOps teams are still catching Terraform issues after they break production. Terracotta AI brings AI-powered review directly into PRs, analyzing your code, state, and live cloud resources to prevent problems before any workflow triggers.\n\n**Try Terracotta AI for free at [https://tryterracotta.com](https://tryterracotta.com)!**\n\nhttps://www.youtube.com/watch?v=QyzyiJVeZqU\n\nhttps://www.youtube.com/watch?v=GuSfvcYllZo&t\n\n# **Problem**\n\nEven the simplest Terraform changes can break production in unexpected ways and can take a significant amount of time to debug and fix.\n\nPlatform teams have developed sophisticated DevOps practices, including module catalogs, compliance policies, and continuous integration/continuous delivery (CI/CD) pipelines.\n\nHowever, even with senior engineers reviewing pull requests (PRs), critical issues still slip through, including drift conflicts, hidden dependencies, and blast radius across services that you didn't know were connected.\n\nThe problem isn't a lack of processes. It's that humans can't consistently analyze Terraform changes against live cloud state, remote state, and downstream dependencies simultaneously. Traditional tools catch problems after the PR is approved or deployed, not before.\n\n# **Solution**\n\n![uploaded image](/media/?type=post&id=91358&key=user_uploads/925045/89ae62a4-eb80-4d9e-95d5-e2af0684740a)\n\nWe created a purpose-built AI agent for Infrastructure as Code (IaC) workflows that seamlessly integrates into your IaC pipeline, contextualizing and providing real-time feedback directly within your pull requests.\n\nTerracotta AI analyzes every Terraform change against the most critical contexts in your IaC deployment pipeline and provides accurate, contextual, actionable feedback inside of your PR:\n\n* **Your IaC code** — syntax, structure, linting, and more\n* **Local plan state** — what Terraform thinks will happen\n* **Live remote state** — What should be deployed\n* **Live cloud resources** — what actually is deployed\n\nWe instantly surface the issues that break production:\n\n* Drift and state mismatches\n* Threat vectors and misconfigurations\n* Hidden blast radius and downstream risk\n* Cost anomalies and compliance violations\n* Cross-PR conflicts for resource modifications\n\nEverything happens as soon as the PR opens, before any CI/CD workflow triggers, and serves as an early detection system for hidden risks and issues that might enter your production environment.\n\n# **Traction**\n\nWe're working with platform engineering and DevOps teams at SupportLogic, LaminatedLabs, and others who are catching issues they would have missed and deploying with confidence rather than crossing their fingers.\n\n\"Terracotta has helped my DevOps team ship Terraform faster and with more clarity. It catches cost impacts, exposed secrets, potential threat vectors, and even cross-PR conflicts before we trigger our CI/CD pipelines. It's been a huge win for both speed and compliance and an overall boost in confidence in helping manage Terraform across all our environments.\" - **Tyler Pinckard - Head of Software Engineering, DevOps & Security at SupportLogic**\n\n**SupportLogic Case study:** https://tryterracotta.com/case-study/supportlogic\n\n# **Our ask**\n\nIf your team is tired of Terraform, OpenTofu, and CDK-TF surprises in production, let's show you a 15-minute demo or sign up for a free 14 day trial at https://tryterracotta.com.\n\nEmail us: [founders@tryterracotta.com](mailto:founders@tryterracotta.com)",
        "url": "https://www.ycombinator.com/launches/NlW-terracotta-ai-ai-agents-for-infrastructure-as-code-workflows",
        "votes": 16,
        "created_at": "2025-06-16T22:20:23.169Z"
      },
      {
        "id": 82694,
        "title": "OpsBerry AI - Secure your identity sprawl",
        "tagline": "Defending against identity-driven breaches with AI. ",
        "body": "![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/926203d7-e2a0-45cd-b97b-d38419a524b4)\n\n**TL; DR** —[OpsBerry AI](https://d2lssd04.na1.hs-sales-engage.com/Ctc/ZW+23284/d2LsSd04/Jks2-6qcW69sMD-6lZ3lyVmsNqH4X0sgdW5TPVYB7bLMr0W6gCpW-7YVgsNW1bvyKV6VTFTXVcRKMB84G-_WW68Bq2C90_lXpW6_BGLs6C_-0yW4lQkxg4FflCWW8rtXpw1ppdmgW2NfKVX6P8tfhW5nXNYm10nsb3W4lyMqq6LVSVZV_cQzJ8LnY0rW5Vt27w62FFv5W2Q4pWc4Z67KLW3kFQKk6ZC34bW68q3RQ3jfwPVW1ztCL98bbKldW685KMM36rzGDW8SMnJ02zDZD_f5nZ8xj04) is an Identity Security Posture Management Platform that uses AI trained with the latest cybersecurity and compliance frameworks to help organizations proactively control, secure, and defend their human and non-human identity sprawl against identity-driven attacks. We help security and engineering teams quickly unify, analyze, and remediate critical vulnerabilities in their identity sprawl into a single pane of glass across central cloud, identity, and ZeroTrust providers.\n\n# **The team**\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/f8edf5e2-f5ee-4acb-8df8-3284f47601f0)\n\n[**Carlos**](https://www.linkedin.com/in/carlosfelicianoii/) is the company's CEO. He handles the business end, infrastructure, security, architecture, and technical operations. He has over 15 years of experience in Cloud infrastructure, architecture, and observability. Before Y Combinator, Carlos was Director of Solutions Architecture and technical customer success at [OpsRamp](https://opsramp.com), multi-cloud and hybrid observability, and ITSM (acq. by HPE), helping enterprises like Micron, Dolby, Epsilon, and others architect end-to-end observability across their multi-cloud environments. Before that, Carlos was an engineering and technical support manager for [LogDNA](https://mezmo.com) (YC S15).\n\n[**Casey**](https://buildspace.so/) is the company's CTO. With over 16 years of experience architecting and shipping code for his business ventures, Casey started by building and selling Runescape bots when he was 12. This eventually led him into various software engineering roles at YC-backed startups like [Buildspace](https://buildspace.so) and Farmstead. Casey runs the product side of the house, handling UIUX design, software architecture, and development, and ultimately, shipping amazing enterprise code.\n\n# **What is causing the rapid increase in identity-driven breaches and why?**\n\nIdentity security is often overlooked and underestimated, leaving organizations vulnerable to unauthorized access, data breaches, and compliance failures. User-based identities are steadily growing annually at a 30% rate, with most employees having two or more identities that allow access to critical business and engineering systems, which is only part of it. NHIs, or Non-Human identities (think OAuth apps, API keys, Service Accounts, etc.), are increasing even faster at 50%, or said otherwise, four or more NHIs per every employee.\n\nIn 2023 alone, 84% of organizations suffered at least one identity-based attack, which averaged $4.5 million in cost. The number of breaches has grown at a steady 50% yearly since 2020 (Source: ISDA). That's not all; unrealized fallout from these breaches after the fact tends to include legal repercussions, loss of customers, increased security costs, higher insurance premiums, reputational repair, loss of intellectual property, and more.\n\n![](https://www.idtheftcenter.org/wp-content/uploads/2024/01/ITRC-DataBreachReport-2023-Infographic-H-1024x791.jpg.webp)\n\nUser identities are only one attack vector in your identity security posture; machine-based identities like API keys, OAuth apps, service identities, and other NHIs are critical attack vectors for businesses. Partially offboarded identities, orphaned human and non-human identities, identity privilege creep, overprivileged access, and shadow accounts that fly under the radar, like non-sso access, gen-AI tools, and other IT internal systems, eventually snowball out of control and exponentially increase the potential for identity-driven breaches across critical engineering and business environments.\n\nFor businesses struggling to maintain compliance and adhere to regulatory requirements, these unchecked identity issues lead to significant compliance and regulatory problems. Organizations face increased risks of failing audits, substantial fines, and even reputational damage due to their inability to manage and secure their identity sprawl effectively.\n\n# **How does OpsBerry solve this with AI?**\n\nOpsBerry AI defends against human and non-human identity breaches using AI to continuously discover, prioritize, and remediate vulnerabilities and risks in your identity sprawl. Our AI-powered identity security posture management platform, trained with popular cyber security and compliance frameworks, provides comprehensive visibility and contextualization across your user accounts, service accounts, API keys, OAuth apps, and more, keeping your organization safe from identity-driven attacks.\n\n# **How it works**\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/41846940-aa9e-44ae-948b-39ed31b48d7a)\n\n👀 **Automated Identity risk assessments**—We automatically gather all information about each identity and generate in-depth risk assessments with AI, instantly surfacing gaps, vulnerabilities, and threats.\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/019721bf-ba26-4e5d-abd6-af44511dabae)\n\n👥 **Shadow identities**—let AI surface the identities that hide in the shadows and quickly identify “unknown unknown” identity risks in your identity secure posture. Quickly surface and remediate shadow accounts across human and non-human identities, such as non-sso user accounts, API Keys and tokens, service accounts, orphaned identities, unmonitored privileged accounts, and more. This is the quickest way to transform hidden risks into strategic cost savings.\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/ecaaaa23-83bd-40d6-9f1e-d2c3a169e380)\n\n**🌱 Lifecycle management and remediation** are the easiest ways to control and secure your human and non-human identity posture. Drop-and-drop no-code automation lets you build streamlined self-service workflows to quickly onboard and offboard identities, remediate risks, and defend against identity-driven breaches.\n\nAnd much more in the works!\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/968ba4e4-c7d3-4379-b992-3f6781f46563)\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/dda6bfd7-7e40-42e1-aca1-1c14c25ec780)\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/119b7479-a979-48a4-ac8b-2d3b7c3a0fb0)\n\n# **Our ask**\n\nNeed help wrangle your identity sprawl with an identity security platform that’s like having your very own in-house identity security expert? We’d love to work with you!\n\nRegardless of your company size, industry, or role, if you’re serious about protecting against identity breaches and want to take real control of your identity sprawl, we’d love to chat and show you a demo! Email [carlos@opsberry.ai,](mailto:carlos@opsberry.ai) or you can even set a time on our [Calendly](https://calendly.com/opsberry/opsberry).\n\n# Socials\n\n[OpsBerry AI (Y S23)](https://opsberry.ai)\n\n[X](https://x.com/opsberryai)\n\n[Linkedin](https://www.linkedin.com/company/opsberryai)",
        "url": "https://www.ycombinator.com/launches/LVm-opsberry-ai-secure-your-identity-sprawl",
        "votes": 34,
        "created_at": "2024-08-02T19:49:51.530Z"
      }
    ]
  },
  {
    "id": 29074,
    "name": "Fiber AI",
    "slug": "fiber-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7118ffc006ccecf44fec5c8d5c5268024216181.png",
    "website": "https://www.fiber.ai/apis",
    "all_locations": "New York City, NY, USA",
    "long_description": "Fiber AI is the freshest data APIs for AI sales, recruiting, & growth products, with the freshest data on 40M+ companies, 850M+ people, and 30M+ jobs.\r\n\r\nYou can search live company, people, and jobs data via APIs and webhooks for 10x cheaper than People Data Labs, Explorium, Cognism, CoreSignal, and others. We have verified emails and phone numbers for 4x cheaper than Clay, Apollo, and ZoomInfo.\r\n\r\nWe've helped enterprises like HubSpot, Agent AI, Ramp, and Docusign, as well as fast-growing startups like Flatfile, Karat, Centralize, and Fonzi, get the data they need to build novel AI sales, marketing, and recruiting products with differentiated features – for a fraction of the cost of other data vendors.\r\n\r\nOur Bulk API Search lets builders integrate uncapped, advanced API searches deeply into their product. Search through 40M+ companies, 850M+ people, and 30M+ jobs with advanced filtering for 10x cheaper than People Data Labs, Crustdata, Cognism, and others.\r\n\r\nAPI endpoints nobody else has. We have novel API endpoints that you won't find on People Data Labs, Cognism, Crustdata, Explorium, or anywhere else, to:\r\n\r\n- Reverse lookup a work/personal email to a person\r\n- Search for a person/company using partial or incomplete information\r\n- Let AI agents build comprehensive prospect lists from 100+ data sources\r\n- Fetch real-time LinkedIn company and people information\r\n\r\nFiber AI's APIs have been live for 3+ years, and we've helped 100s of enterprises and startups rip and replace their data providers.\r\n\r\n\r\n\r\n\r\n\r\n----------------------------------------------------------------------------------------------------------------------\r\nFor more details:\r\n\r\nFiber AI is a B2B data API provider and data broker for AI sales tools, AI recruiting platforms, AI marketing products, and growth teams.\r\n\r\nWe offer data APIs, data feeds, bulk API search, REST API, and webhooks across 40M+ companies, 850M+ people, and 30M+ jobs – for 10x cheaper than People Data Labs, Crustdata, CoreSignal, Cognism, Bright Data (BrightData), Live Data (LiveData), Explorium, Seamless.ai, Seamless AI, RocketReach, Kaspr, Snov.io, Snov, Uplead, Lead411, and SalesIntel. We also provide verified emails, verified phones, email data, and phone data for 4x cheaper than Clay, Apollo, ZoomInfo, Hunter, Hunter.io, Lusha, ContactOut, Wiza, LeadMagic, Prospeo, FindyMail, Icypeas, FullEnrich, Datagma, Dropcontact, and LeadIQ.\r\n\r\n- Bulk API search for companies, people, and jobs data (uncapped API searches, search API, company search API, people search API, person API, jobs search API, contact search)\r\n- Email API and emails API (email finder, email lookup, bulk email finder, email address finder, email addresses, work email, work emails, business email, business emails, email list, email database)\r\n- Phone API (phone finder, phone lookup, phone number finder, phone numbers, mobile number, mobile numbers, mobile phone, direct dial, direct dials)\r\n- Reverse email lookup API (email to person, reverse lookup, email enrichment, contact enrichment, lead enrichment, CRM enrichment, enrich)\r\n- Email verification API (email validation, email verification, email deliverability, bounce detection, email bounce)\r\n- Phone verification API (phone validation, phone verification, verified phone, verified phones)\r\n- Contact API and contacts API (contact data, contact lookup, contact finder, contact information, B2B contacts, B2B contact, verified contact, verified contacts)\r\n- Real-time LinkedIn data API (LinkedIn company data, LinkedIn profile data, LinkedIn profiles, LinkedIn scraper, LinkedIn scraping, LinkedIn export, Sales Navigator, Sales Navigator export)\r\n- Company data API (B2B company data, company database, company lookup, company information, firmographic data, firmographics, headcount data, funding data, technographic data, revenue data, intent data)\r\n- People data API (B2B contacts, B2B database, contact database, people database, people lookup, people finder)\r\n- Lead data API (lead, leads, B2B leads, prospect, prospects, lead database, prospect data, lead list, prospect list, contact list)\r\n- Jobs data API (open jobs, hiring signals, job listings data, job postings)\r\n\r\nUse cases:\r\nProduct builders integrate our data APIs to build AI SDR tools, AI SDR, AI BDR, AI BDR tools, SDR tools, BDR tools, SDR software, BDR software, SDRs, BDRs, AI recruiting tools, recruiter tools, recruiters, recruitment software, talent acquisition, talent sourcing, candidate sourcing, candidate data, candidates, hiring tool, sales intelligence products, sales intelligence platform, sales data, sales leads, GTM tools, go-to-market platforms, recruiting pipelines, centralized data platforms, TAM builders, ICP list builders, lead generation software, lead gen, leadgen, demand generation, demand gen, prospecting tools, sales prospecting, outbound sales tools, outbound sales, outreach tool, cold outbound, cold outreach, cold email, cold emails, cold calling, email outbound, email outreach, and account-based marketing (ABM) products.\r\n\r\nWhy teams choose Fiber AI over other data providers and data vendors:\r\n\r\n- 10x cheaper than bulk data providers and data brokers (People Data Labs, Crustdata, CoreSignal, Cognism, Explorium, Clearbit, 6sense, Demandbase, ZoomInfo data, Seamless.ai, RocketReach, Kaspr, Snov.io, Uplead, Lead411, SalesIntel, business data, B2B data, live data, real-time data, fresh data)\r\n- 4x cheaper than contact enrichment tools and email enrichment tools (Clay, Apollo, Hunter.io, Lusha, ContactOut, Wiza, LeadMagic, Prospeo, FindyMail, Icypeas, FullEnrich, Datagma, Dropcontact, LeadIQ, data enrichment, phone enrichment)\r\n- 0% email bounce guarantee – if an email bounces, we refund instantly (no other data vendor or data provider offers this)\r\n- Freshest data and live data feeds: company data updated every 2-3 weeks, jobs data every 2-3 days, people data every 1-2 months\r\n- Novel API endpoints nobody else has: reverse email lookup, email to person lookup, partial/incomplete search, real-time LinkedIn fetching, LinkedIn scraper, AI agent prospect list building\r\n\r\nData coverage:\r\n40M+ B2B companies, 850M+ B2B contacts, 30M+ job listings. B2B database with emails, email addresses, phone numbers, mobile numbers, direct dials, and contact information sourced from 100+ providers including LinkedIn, Crunchbase, BuiltWith, and more.\r\n\r\nWe help AI sales tools, AI recruiting platforms, AI recruiting tools, recruiters, recruitment platforms, sales automation tools, recruiting automation, lead enrichment products, email enrichment tools, phone enrichment services, data enrichment platforms, lead scoring tools, and GTM teams get the B2B data, contact data, email data, phone data, lead data, and prospect data they need via simple, affordable data APIs, data feeds, and webhooks.\r\nWe have B2B company data on 40 million B2B companies and 850 million B2B contacts (i.e. B2B database), sourced from dozens of data providers (i.e. think sources like BuiltWith, Crunchbase, LinkedIn, ZoomInfo, SemRush, Apollo data, and more). This allows you to precisely segment your audience by the companies you care about and exclude everyone else. Our audiences are dynamic (i.e., account based marketing, account based sales, ABM like Clearbit, 6sense, Demandbase), meaning we continuously look for prospects matching your targeting criteria and add them to your audience to run automated outbound sales sequences. This automates manual workflows you might be running on platforms like Clay or Persana. You can also create an audience once based on intent signals (i.e., GTM or go-to-market signals, sales intelligence) and put your outreach on autopilot.\r\n\r\nThis is why RevOps, sales, growth, recruiting, and outbound teams choose us to power their AI SDR platforms (examples of these platforms that could use Fiber AI include artisan ai, 11x, amplemarket, reply.io, unify gtm, penguin ai, regie ai, aisdr, artisan sdr, outreach io, and warmly ai - many of these have used or currently use us), existing lead databases (email enrichment, bulk email finder, or phone enrichment tools like apollo, zoominfo, leadIQ), and contact enrichment tools (clay, persana ai) that promise automation and enrichment but deliver poor results.",
    "one_liner": "The freshest data APIs for AI sales, recruiting, & growth products",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1689840885,
    "tags": [
      "Generative AI",
      "SaaS",
      "Recruiting",
      "Sales",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/fiber-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/fiber-ai.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fiberai/",
    "x_url": "https://twitter.com/Fiber_AI",
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    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1005029,
        "full_name": "Adi Agashe",
        "title": "Founder",
        "founder_bio": "CEO of Fiber AI. 3-time global bestselling author of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"PM's Sacred Seven\" which have been translated into 11 languages. Prev. built a profitable 7-figure e-commerce business, and spent 5 years as a Product Manager at Microsoft growing Azure hybrid revenue. Graduated from Cornell University (computer science) as a Rawlings scholar (top 1.5%).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/adityaagashe",
        "x_url": "https://twitter.com/AdiAgashe",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a33b926e351fa0469e8689a5a7bf87ba88c1293.jpg"
      },
      {
        "user_id": 1006093,
        "full_name": "Neel Mehta",
        "title": "Founder",
        "founder_bio": "Neel is the CTO at Fiber AI and a former APM (later PM) at Google. He is also the three-time bestselling author of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"Product Management's Sacred Seven;\" he then built a profitable 7-figure e-commerce business. Neel graduated in the top 5% of his class at Harvard University, where he studied computer science and was a John Harvard Scholar.\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/neel-a-mehta",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Fiber AI automates sales outreach & scales to $1M+ ARR with Elastic | Elastic Customers",
        "url": "https://www.elastic.co/customers/fiberai",
        "date": "Aug 12, 2025"
      },
      {
        "title": "Meet The 30 Under 30 Marketing & Advertising Class Of 2024—From AI Startups To A Chief TikTok Officer",
        "url": "https://www.forbes.com/sites/emmylucas/2023/11/28/meet-the-30-under-30-marketing--advertising-class-of-2024-from-ai-startups-to-a-chief-tiktok-officer/",
        "date": "Nov 23, 2023"
      }
    ],
    "launches": [
      {
        "id": 105590,
        "title": "🔔 Fiber AI – Track any changes on companies and people",
        "tagline": "Know the exact moment your ICP hires, launches, switches jobs, raises, or posts.",
        "body": "## 🏆 TL;DR\n\n[**Fiber AI Trackers**](https://www.fiber.ai/trackers) monitor 40M+ companies and 850M+ people across **45+ tracking rules** and fires an **instant webhook the moment something changes:** revenue growth, new funding round, a key hire for your ICP, a prospect's promotion, a LinkedIn post about a pain point you solve, comments on a competitor’s Twitter/LinkedIn post, etc.\n\nEvery alert has **full context** on what changed, who's involved, and why it matters.\n\nWe're **10x cheaper**, we have **35+ more signals** than competitors, and **don’t charge per seat** or have **no minimums**.\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/72c22730-6e86-4d85-94e8-364c63ec5ece)\n\n**We've helped enterprises like HubSpot, Agent AI, Ramp, and Docusign**, as well as fast-growing startups like Emergent, Exa, Cardinal, Karat, Flatfile, Centralize, and Fonzi, get the data they need to build novel AI sales, marketing, and recruiting flows with differentiated features, all for a fraction of the cost of other data vendors.\n\n**Sign up for free: [https://www.fiber.ai/trackers](https://www.fiber.ai/trackers)**\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/f297272a-f38c-4064-a881-d5e9876a1ade)\n\n## 🔔 45+ tracking rules — the broadest catalog anywhere\n\n**25+ Company rules:** technologies added, layoffs, HQ/office moves, acquisitions, headcount thresholds &amp; growth, job postings by keyword/function/title, funding rounds, news by keyword, LinkedIn posts/comments/reactions, follower growth.\n\n**23+ People rules:** changed companies, got promoted (or demoted), entered or left stealth, open-to-work toggled, title &amp; certification changes, posts/comments/reactions, posts/comments by keyword, connection &amp; follower milestones\n\nThe majority of these signals are available only Fiber, **no other provider has them.**\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/43a7a2ce-9ff5-4d7d-b8e9-361b5e60e137)\n\n## ⚡ Alerts with full context\n\nEvery alert arrives as clean JSON with the full story: what changed, who's involved, and why it matters. That way, you can store it straight into your CRM, Slack, or your AI sales/recruiting Agents.\n\nWe have built-in retries and deduplication, so you will never miss an update on your ICP, and you can compare against snapshots up to 90 days back to catch slow-building trends.\n\nReceive pushes via webhooks, browse in the in-app dashboard, or pull via REST API.\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/9d136a76-7874-4027-b36a-87ac371e643a)\n\n## 💸 Simple, transparent pricing\n\nPay only for what you monitor: per entity, per check. **No seats, no minimums.**\n\nThe more you track and the more often you check, the less you pay. See our pricing calculator here: <https://www.fiber.ai/trackers#pricing>\n\nWe’re **10x cheaper** than others and our people graph is 850M+ which is \\~2-3x larger than competitors.\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/b1e3ab43-fb41-4f80-a5fe-b147782ea71b)\n\n# **💯 The Team**\n\nAdi Agashe (CEO) &amp; Neel Mehta (CTO) are the 3-time global bestselling authors of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"PM's Sacred Seven\" which have been translated into 11 languages. Previously, they were Product Managers at Microsoft and Google.\n\n# **🙏 Ask**\n\n**Please make a warm introduction to a AI sales and recruiting companies and teams that need data APIs! My email is: adi \\[at\\] fiber \\[dot\\] ai and cal: [https://calendly.com/adi-agashe/](https://calendly.com/adi-agashe/)**\n\n**Fiber AI’s APIs [https://www.fiber.ai/apis](https://www.fiber.ai/apis) have** been live for 3+ years, and we’ve **helped 300+ enterprises and startups rip and replace their data providers.**\n\nWe're confident that we'll not only save you money on bulk search and contact data, but also get better data quality than your current data vendors.\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/e5c2bdc2-8432-448c-b4a5-42f710a9af38)\n\n",
        "url": "https://www.ycombinator.com/launches/RT4-fiber-ai-track-any-changes-on-companies-and-people",
        "votes": 894,
        "created_at": "2026-07-13T16:41:31.954Z"
      },
      {
        "id": 96929,
        "title": "🌿 Fiber AI – Freshest data APIs for AI sales, recruiting, & growth products.",
        "tagline": "Replace multiple API data vendors.",
        "body": "# 🏆 **TL;DR**\n\n[**Fiber AI**](https://www.fiber.ai/apis) is a comprehensive data provider with the freshest data on **40M+ companies, 850M+ people, and 30M+ jobs.**\n\nYou can search live company, people, and jobs data via APIs and webhooks for **10x cheaper** than People Data Labs, Explorium, Cognism, CoreSignal, & others. We have verified emails & phones for **4x cheaper** than Clay, Apollo, and ZoomInfo.\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/ed50d4fa-91d6-48da-99d4-9c2ff640f340)\n\n**We've helped enterprises like HubSpot, Agent AI, Ramp, and Docusign**, as well as fast-growing startups like Flatfile, Karat, Centralize, and Fonzi, get the data they need to build novel AI sales, marketing, and recruiting flows with differentiated features – for a fraction of the cost of other data vendors.\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/e184a0f3-ccdd-4435-aa47-219255d6db86)\n\n# **❌ The Problem**\n\n**Data providers force you to pay for data you don't need.** Existing data providers like People Data Labs, CoreSignal, Cognism, and Crustdata sell you bulk data for $20,000—$40,000+ per month.\n\n**Product builders want to make uncapped API searches** to integrate company, jobs, and people data seamlessly into their products. They don't want to aggregate bulk datasets, clean the data, and recreate an entire search experience.\n\n**Contact data is expensive and data quality is bad.** You pay premium prices to get outdated emails and disconnected phone numbers. The lack of data verification means you suffer from high bounce rates.\n\n# 🌟 Our Solution\n\n**Bulk API Search lets builders integrate _uncapped_, advanced API searches deeply into their product.** Search through 40M+ companies, 850M+ people, and 30M+ jobs with advanced filtering for **10x cheaper** than People Data Labs, Crustdata, Cognism, and others.\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/40fd45de-1806-4db9-ab4b-99cbebbaee5e)\n\n**API endpoints nobody else has.** We have novel API endpoints that you won’t find on People Data Labs, Cognism, Crustdata, Explorium, or anywhere else, to:\n\n* reverse lookup a work/personal email to a person\n* search for a person/company using partial or incomplete information\n* let AI agents build comprehensive prospect lists from 100+ data sources\n* fetch real-time LinkedIn company and people information\n* and many more\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/1430bd26-2f83-4863-94e4-e5531d122988)\n\n# **💯 The Team**\n\nAdi Agashe (CEO) & Neel Mehta (CTO) are the 3-time global bestselling authors of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"PM's Sacred Seven\" which have been translated into 11 languages. Previously, they were Product Managers at Microsoft and Google.\n\n# **🙏 Ask**\n\n**Please make a warm introduction to a AI sales, recruiting, marketing, & gtm teams that need data APIs! My email is: adi \\[at\\] fiber \\[dot\\] ai and cal: [https://calendly.com/adi-agashe/](https://calendly.com/adi-agashe/)** \n\n**Fiber AI’s APIs [https://www.fiber.ai/apis](https://www.fiber.ai/apis) have** been live for 3+ years, and we’ve **helped 100s of enterprises and startups rip and replace their data providers.**\n\nWe're confident that we'll not only save you money on bulk search and contact data, but also get better data quality than your current data vendors.\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/fcdb4355-c8b4-48e6-9393-ff9ce37d4ef6)\n\n",
        "url": "https://www.ycombinator.com/launches/PDN-fiber-ai-freshest-data-apis-for-ai-sales-recruiting-growth-products",
        "votes": 1049,
        "created_at": "2026-01-19T16:28:32.204Z"
      },
      {
        "id": 92385,
        "title": "🤝 Fiber AI - Verified phones & emails 4x cheaper than Clay. Better search than LinkedIn.",
        "tagline": "Highest quality data provider for sales, marketing, recruiting, & growth teams.",
        "body": "## **🏆 TL;DR:**\n\n[**Fiber AI**](https://www.fiber.ai/) is a comprehensive email and phone data provider offering verified contact information at **4x lower cost than Clay, Apollo, and ZoomInfo.** We provide better search capabilities than LinkedIn across **40M+ companies, 850M+ people, and 13M+ jobs** with maximum data yield and accuracy.\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/4265f87e-e642-4751-bdf7-b5a1aa8bb443)\n\n**We’ve helped enterprises like Ramp, Docusign, & Flatfile**, as well as fast-growing startups, get the data they need for sales, marketing, and recruiting at a fraction of the cost. **Our customers have generated millions in pipeline using our data.**\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/2a0c0c27-7ced-47aa-a64b-68656f550206)\n\n## **❌ The Problem**\n\n**Search capabilities are limited.** LinkedIn's search is restrictive and doesn't give you advanced filters for companies, jobs, people. You waste hours navigating different tools just to build a decent prospect list.\n\n**Contact data is expensive and data quality is bad.** You pay premium prices only to get outdated emails, disconnected phone numbers, and incomplete profiles. The lack of data verification means your outreach campaigns suffer from high bounce rates and wasted effort.\n\n## **🌟 Our Solution**\n\n**Superior search across massive datasets.** Search through **40M+ companies, 850M+ people, and 13M+ jobs** with advanced filtering that surpasses LinkedIn's capabilities. Our interface is built for speed and precision, letting you find exactly who you're looking for in seconds.\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/4bbac56f-22aa-4b2e-9a03-e3f46de1e4c5)\n\n**Maximum yield at 4x lower cost.** Our AI agents continuously update our massive database of 40M+ companies, 850M+ professionals, and 13M+ open job listings, with 100+ premium data sources refreshing tens of thousands of data points every second.\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/882f9a8d-f315-41cd-b38e-815c8ed0b1c1)\n\n**0% Email Bounce Guarantee.** We run your contacts through industry-optimized waterfalls. With 16+ data providers and validators, we dramatically increase the quality of your contact lists, while still being 80% cheaper than the competition.\n\nIf an email ever bounces, DM us and we'll refund the credit on the spot – no forms, no fuss.\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/d39ba26b-c50f-4168-8e48-3c8d7f54b4f5)\n\n## **💯 The Team**\n\nAdi Agashe (CEO) & Neel Mehta (CTO) are the 3-time global bestselling authors of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"PM's Sacred Seven\" which have been translated into 11 languages. Previously, they were Product Managers at Microsoft and Google.\n\n## **🙏 Ask**\n\n**Please make a warm introduction to a B2B business that needs help building audiences! My email is: adi \\[at\\] fiber \\[dot\\] ai**\n\n**Fiber AI is live and ready to use right now at [https://www.fiber.ai/](https://www.fiber.ai/).** We're confident that we'll not only save you money on contact data, but also help you find better prospects faster than your current process.",
        "url": "https://www.ycombinator.com/launches/O25-fiber-ai-verified-phones-emails-4x-cheaper-than-clay-better-search-than-linkedin",
        "votes": 1403,
        "created_at": "2025-07-24T15:42:17.276Z"
      },
      {
        "id": 73254,
        "title": "🤝 Fiber AI - Automate SDR and BDR prospecting & outbound sales workflows using AI.",
        "tagline": "Drive revenue growth faster with AI-powered outbound sales automations",
        "body": "### **🏆 TL;DR:**\n\n[**Fiber AI**](https://fiber.ai/) **automates SDR and BDR prospecting & outbound sales workflows using AI.** Enterprises choose our AI sales platform because we automatically find prospects, research them, and hyper-personalize outbound messages that get 80% open rates, which is 4x the industry standard.\n\nAs successful 7-figure e-commerce entrepreneurs, we manually hacked together outbound sales automations across several point solutions to scale our last business. In contrast, when we worked at Microsoft and Google, not a single employee touched outbound sales directly—instead, each organization hired different vendors that managed and configured different tools. \n\nWitnessing this firsthand, we’re uniquely positioned to build a platform that automates outbound sales workflows for enterprises. \n\n### **💯 The Team**\n\n![uploaded image](/media/?type=post&id=73254&key=user_uploads/1005029/331974d7-79bb-4e22-ac12-b3a140007967)\n\n[**Adi Agashe**](https://www.linkedin.com/in/adityaagashe/) **(CEO)** and [**Neel Mehta**](https://www.linkedin.com/in/neel-a-mehta/) **(CTO)** are the 3-time global bestselling authors of \"[Swipe to Unlock](https://www.amazon.com/Swipe-Unlock-Technology-Business-Strategy/dp/1976182190),\" \"[Bubble or Revolution?](https://www.amazon.com/Blockchain-Bubble-Revolution-Present-Cryptocurrencies-ebook/dp/B07T13GP1Q/)\", and \"[PM's Sacred Seven](https://www.amazon.com/Product-Managements-Sacred-Seven-World-Class/dp/0578740583/)\" which have been translated into 11 languages. They have worked together for the last 8 years and built a profitable 7-figure e-commerce business.\n\nAdi spent 5 years as a growth Product Manager at Microsoft, scaling Azure hybrid revenue. He graduated from Cornell University, where he studied computer science and was a Rawlings scholar (top 1.5%).\n\nNeel was an APM (later PM) at Google, working on Google Search. He graduated in the top 5% of his class at Harvard University, where he studied computer science and was a John Harvard Scholar.\n\n### **❌ The Problem**\n\n**Most businesses’ deliverability rates are horrible.** There are 40+ common pitfalls that land your emails in spam. Founders are not aware of these hazards, which are often technical in nature, and commit blunders that affect their domain and email health long-term.\n\n![uploaded image](/media/?type=post&id=73254&key=user_uploads/1005029/45cec696-826a-4361-822f-1346e748ddcd)\n\n**Finding relevant prospects is tedious and constantly changing.** When building a lead list, you have to manually gather data from several data sources and figure out triggers to prune this list so that your offer is relevant. Generating quality leads is extremely time-consuming and eats up 40% of a SDR’s time. What’s even more frustrating is that by the time you reach out, your offer may not be relevant anymore since the window of opportunity is often short. \n\n**Writing personalized emails is a massive bottleneck.** Researching each lead and writing highly personalized emails that are going to get opened requires 10 to 20 minutes per email on average. This is not scalable, which is why many businesses blast generic templates, which have horrible open and response rates.\n\n### **🌟 Our Solution**\n\n**Fiber AI manages domain and email health to get 80% open rates.** We automatically configure your DNS records, warm-up your emails, orchestrate emails to send optimally across all of your accounts, run multi-layer email bounce detection, and modify each outgoing email to ensure it doesn’t set off spam filters. \n\n**We automate lead generation with dynamic audiences.** We pull in data from 50+ data providers, including BuiltWith, Crunchbase, LinkedIn, Alexa, and more, so that you can segment your audience precisely by the companies you care about and exclude everyone else. Our audiences are dynamic, which means we will continuously look for prospects matching your targeting and add them to your audience to run our automated outbound sales sequences. Create an audience once, and put your outreach on autopilot.  \n\n![uploaded image](/media/?type=post&id=73254&key=user_uploads/1005029/41bb740f-e065-447d-8088-f2e9bc19802b)\n\n**AI-powered hyper-personalized emails to boost response rates.** The biggest debate in sales is choosing between relevancy and personalization—now you don’t have to. We search far and wide to find the “golden nugget” of information to connect with your prospect, and then use GPT-4 to write hyper-personalized email sequences to dramatically increase response rates.\n\n![uploaded image](/media/?type=post&id=73254&key=user_uploads/1005029/f9bddae2-962d-4cae-8980-cba49bf55c25)\n\n# 🙏 Ask\n\n**If you know a B2B business in your network that’s looking to scale their outbound sales, please make a warm introduction!** **My email is:** **adi \\[at\\] fiber \\[dot\\] ai**\n\n[**Fiber AI**](https://fiber.ai/) **is usable right now**. We’re confident that we’ll not only automate your outbound sales workflows, but also will be able to drive revenue growth faster than your existing process.",
        "url": "https://www.ycombinator.com/launches/J3W-fiber-ai-automate-sdr-and-bdr-prospecting-outbound-sales-workflows-using-ai",
        "votes": 556,
        "created_at": "2023-07-20T13:42:44.538Z"
      }
    ]
  },
  {
    "id": 29078,
    "name": "RecipeUI",
    "slug": "recipeui",
    "former_names": [
      "Convi",
      "Toph",
      "RecpeUI",
      "RecipeUI",
      "RecipeUI`",
      "RecipeUI",
      "RecipeUI`"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7580790de28f6334e2dd731c6927dfdedd2ba02a.png",
    "website": "https://recipeui.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The first version of RecipeUI was a viral project at Robinhood that reached 100% adoption from all engineering and QA teams. When an API broke, anyone from Frontend to QA to PMs could debug without relying on backend engineers",
    "one_liner": "The open source Postman alternative.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1691613832,
    "tags": [
      "Developer Tools",
      "Open Source",
      "API"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/recipeui",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/recipeui.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/recipeui/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/RecipeUI/RecipeUI",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7580790de28f6334e2dd731c6927dfdedd2ba02a.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 1139854,
        "full_name": "Samuel San",
        "title": "Founder",
        "founder_bio": "Hey! I was a product manager at Coinbase and Apple and studied software engineering at the University of Waterloo. I also did a bunch of internships at Meta, Microsoft, Shopify, and startups.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/samuelsan",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7865a458ddd4da163252205d598f22c4eba5d6ae.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 74274,
        "title": "RecipeUI - Open source Postman alternative",
        "tagline": "The API tool for teams",
        "body": "Hey, this is Jeane and Samuel from RecipeUI.\n\nWe’re building an API testing experience that works for the whole team (Devs, PMs, QA, Ops). Try it out at <https://recipeui.com>.\n\n![uploaded image](/media/?type=post&id=74274&key=user_uploads/1139854/36a01c9b-6c4c-4b88-a87d-a9575cf0bd33)\n\nJeane built the first version of this at Robinhood when he saw his colleagues struggle to use and test internal APIs. It went viral and was adopted by near 100% of the engineering org, QA, and support teams, saving countless hours in testing.\n\n**Problem ❌**\n\nWe rarely hear: “Wow, this API was easy to run.”\n\nInstead you have..\n\n* **Complex onboarding:** Each teammate onboards onto an API differently. Some struggle with auth, some with params.\n* **Designed for developers only:** API tools are not built to be easily used by the whole team. Non-engineering teams need access to API tooling as well like QA, support, and product.\n* **Poor documentation:** Documentation is scattered across code, slack, and wikis. You shouldn't need a meeting just to figure out how an API works.\n\n**Solution ✅**\n\nEnable anyone to test APIs in seconds with a click of a button. \n\n* **Easy setup:** Quickly use new APIs with user-friendly forms for parameter input. \n* **Designed for collaboration:** Create and share Recipes (example API use cases) that run without needing any authentication.\n* **Add APIs in minutes:** Just import your YAML files and we’ll auto convert them into documented APIs for anyone to test.\n\nWatch our [demo](https://www.youtube.com/watch?v=Ce9g7N1V76U):\n\n**Our Asks:**\n\n📢 Book a demo to see how RecipeUI can work for your team: <https://calendly.com/jeane-nfi/30min>\n\n🌟 Star our GitHub: <https://github.com/RecipeUI/RecipeUI>\n\n🚀 Test out some APIs on RecipeUI. Create Recipes and share them on social!",
        "url": "https://www.ycombinator.com/launches/JJy-recipeui-open-source-postman-alternative",
        "votes": 36,
        "created_at": "2023-08-21T19:10:28.054Z"
      }
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  },
  {
    "id": 29079,
    "name": "Tiptap",
    "slug": "tiptap",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ea1ff4314cdf63ee3867e1d262f8d1119847e40.png",
    "website": "https://tiptap.dev/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
    "one_liner": "The open-source document editor for humans and AI agents.",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1687103873,
    "tags": [
      "Developer Tools",
      "Open Source",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
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    "regions": [
      "Germany",
      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/tiptap",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/tiptap.json",
    "year_founded": 2022,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/tiptapdev/",
    "x_url": "https://twitter.com/tiptap_editor",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/tiptap-75b3",
    "github_url": "https://github.com/ueberdosis/tiptap",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ea1ff4314cdf63ee3867e1d262f8d1119847e40.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1335640,
        "full_name": "Philip Isik",
        "title": "Founder",
        "founder_bio": "Philip is the co-founder and co-CEO of Tiptap, where he is responsible for the company's strategy, sales, and business development. With a decade of industry experience, Philip's passion for creating intuitive and transformative digital experiences led him to grow Tiptap from an open source side project at his digital consultancy into a venture-backed startup.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/philip-isik-688307123",
        "x_url": "https://twitter.com/PhilipIsik",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2f831917fb4b95a1977e2df5882a6791f2c6484.jpg"
      },
      {
        "user_id": 1350130,
        "full_name": "Sven Adlung",
        "title": "Founder",
        "founder_bio": "Sven is a co-founder and lead frontend developer at Tiptap, where he brings over twenty years of experience in app and web development. Specializing in frontend development, he focuses on the Tiptap Editor and its cloud services.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sven-adlung-b343b696",
        "x_url": "https://twitter.com/svenadlung",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c99fee3341fe98fa622c37677d3c5e637ef72efe.jpg"
      },
      {
        "user_id": 1347229,
        "full_name": "Patrick Baber",
        "title": "Founder/Lead Cloud Engineer",
        "founder_bio": "Patrick is the co-founder and DevOps of Tiptap, which he started with five other founders in 2022. With more than a decade of experience, he is responsible for the IT infrastructure, defines the software architecture, and drives the mission to simplify the development of collaborative apps. Originally from East Germany, Patrick earned a degree in business economics.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/patrick-baber-a0247027b/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86129959b360198f49a86d9319fc409c8a62ac90.jpg"
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      {
        "user_id": 1351520,
        "full_name": "Nick Hirche",
        "title": "Founder",
        "founder_bio": "Nick is a co-founder and lead UX/UI designer at Tiptap, where he is responsible for the visual appearance and product conception. With more than a decade of experience in the industry, he can quickly grasp complex problems and turn them into new product ideas. These are garnished with amazing design.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nick-hirche-622a2a216",
        "x_url": "https://twitter.com/NickHirche",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b43debffb0162e46f06762c20031fdcf8546c92d.jpg"
      },
      {
        "user_id": 1341997,
        "full_name": "Timo Isik",
        "title": "Founder",
        "founder_bio": "Timo is a co-founder and lead backend developer at Tiptap where he mainly works on collaboration and cloud services. He holds over ten years of diverse experience in software engineering and specializes in the backend part of applications.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/timo-isik-6b2956197",
        "x_url": "https://twitter.com/timoisik",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d22e3026f7082a839141c7266be88dab70b9e19.jpg"
      },
      {
        "user_id": 1350259,
        "full_name": "Sebastian Schrama",
        "title": "Founder",
        "founder_bio": "Sebastian is the co-founder and co-CEO of Tiptap. With over a decade of experience in the freelance and entrepreneurial world, he has honed his skills in finance and operations. His diverse expertise has shaped his role at Tiptap, where he navigates the company’s financial health and operational efficiency.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sebastian-schrama-0a1112255",
        "x_url": "https://twitter.com/JohnnySchlecker",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20175ab29eae3b6deea06ae3ebba22760fae3df1.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 94631,
        "title": "Bidirectional Markdown Support for Tiptap",
        "tagline": "The text editor that speaks the language of LLMs: Markdown!",
        "body": "Hi everyone, we’re the team behind Tiptap, the open source text editor framework used by thousands of developers to build rich text and AI-powered writing tools.\n\nWe just launched **bidirectional Markdown support!** You can now import Markdown into Tiptap and export your editor content back to Markdown, without losing structure or formatting.\n\n![uploaded image](/media/?type=post&id=94631&key=user_uploads/1335640/a7c2a608-e669-4e56-bf8c-05fdece38c47)\n\n### **The problem**\n\nMarkdown is becoming the common language for AI and LLM-based workflows.\\\nWhen you feed prompts, train models, or structure outputs, they often rely on Markdown. But most editors don’t handle it well. Converting between Markdown and rich text is lossy, inconsistent, and full of edge cases.\n\nDevelopers who build AI tools, documentation platforms, or note-taking apps need a way to work _natively_ with Markdown without giving up modern editing experiences.\n\n### **How we’re solving it**\n\nWith this release, Tiptap makes Markdown a native format. You can:\n\n* **Parse** Markdown content into Tiptap's ProseMirror-based JSON for editing,\n* **Serialize** your Tiptap content back to multiple variants of Markdown,\n* **Use it client-side or server-side** via the MarkdownManager,\n* **Define custom Markdown** syntax for your custom nodes and marks,\n\n### **How to try it**\n\n1. Install the Markdown package via _@tiptap/markdown_\n2. Either setup the _MarkdownManager_ and directly parse and serialize it or import the _Markdown_ extension and extend your editor instance with Markdown features\n3. Use the serialized and parsed content in your apps (for example parsing file contents or AI streams)\n\n### **Why this matters**\n\nAs AI tools grow, Markdown is quickly becoming the glue between humans and LLMs. Writers, developers, and apps need a format both people and models can read and write.\n\nBy making Markdown fully bidirectional, Tiptap bridges that gap, giving developers a foundation to build the next generation of editors, copilots, and AI-native content tools.\n\n### **Call to action**\n\nIf you’re building AI products or content tools that use Markdown, try it out and tell us how it fits into your stack.\n\nDocs: https://tiptap.dev/docs/editor/markdown/ \n\nYou can reach us at [humans@tiptap.dev](https://mailto:humans@tiptap.dev) or discuss on [GitHub](https://github.com/ueberdosis/tiptap/discussions)",
        "url": "https://www.ycombinator.com/launches/OcJ-bidirectional-markdown-support-for-tiptap",
        "votes": 12,
        "created_at": "2025-10-14T17:57:43.333Z"
      },
      {
        "id": 94225,
        "title": "Tiptap Pages: Word-style layouts in your editor",
        "tagline": "Headers, footers, and pagination without rebuilding Word.",
        "body": "Hey everyone! Philip here, Co-founder at [Tiptap](https://tiptap.dev), the open-source text editor framework used by thousands of dev teams to build collaborative and smart editors.\\\n\\\nWe’ve launched **Tiptap Pages** into live beta, a new extension that adds pagination, page layouts, headers, footers, and structure to your Tiptap editor.\n\nIf you’re building anything that looks like a document editor but ends up hacked together in an infinite scroll, this is for you.\n\n![uploaded image](/media/?type=post&id=94225&key=user_uploads/1335640/3d14271b-bf90-4e24-8d48-800403fdcc21)\n\n### **The Problem**\n\nMost rich text editors treat documents as one long, continuous scroll.\n\nThat works for notes. But not for:\n\n* Contracts with signature blocks that must land on the right page\n* RFPs and government proposals with strict page counts\n* Exams, policies, or legal docs where structure really matters\n* PDFs that actually need to look like the document you typed\n\nAdding “real” document behavior (pages, breaks, headers, print formatting) is hard to maintain.\n\n### **What We Built**\n\nTiptap Pages brings page awareness to your editor.\n\n**Visual page layouts**\\\nChoose A4, Letter, Legal, or define your own. Layouts reflect actual document dimensions.\n\n**Smart pagination**\\\nContent flows across pages with clean, logical breaks\n\n**Dynamic headers and footers**\\\nInsert page numbers, section names, document metadata, and custom elements.\n\n**Custom node support**\\\nBuild and export structured content the way your product needs it, including callouts, exhibits, and embeds.\n\n**Built for developers**\\\nExtend behavior, apply custom styling, and integrate deeply with your stack.\n\nPages is now available on **Team** and **Growth** plans.\n\n![uploaded image](/media/?type=post&id=94225&key=user_uploads/1335640/1a13e116-ecec-40f4-bb07-6c08e0b9005b)\n\n### **See It in Action**\n\n* **Product Overview:** https://tiptap.dev/docs/pages/getting-started/overview\n* **Live Demo:** https://feature-pages-extension--tiptap-pro.netlify.app/src/extensions/pages/react/\n* **Join our Discord:** https://tiptap.dev/discord\n\n### **Why We Built It**\n\nDocs still matter, especially in verticals like legal, fintech, govtech, insurtech, and education. But those documents don’t live in Word forever. They’re part of the tools you’re building.\n\nTeams using Tiptap were already trying to force structure into an unstructured model. We built Pages to give them something better, not just for writing, but for layout, formatting, and final delivery.\n\nIf you’ve ever faked a page break with extra line breaks… you get it.\n\n### **Our Ask**\n\nWe’d love feedback from developers building products with structured documents.\n\n* Try the demo and tell us what breaks.\n* Share what your team would need next (collaboration? AI? export formats?).\n* If you’re in one of the verticals above, let’s chat.",
        "url": "https://www.ycombinator.com/launches/OVl-tiptap-pages-word-style-layouts-in-your-editor",
        "votes": 25,
        "created_at": "2025-09-30T14:00:38.501Z"
      },
      {
        "id": 91336,
        "title": "Tiptap – Better DOCX Import & Export",
        "tagline": "The missing DOCX layer for your text editor infrastructure.",
        "body": "Hey everyone! Philip here, Co-founder at Tiptap (https://tiptap.dev), the open-source text editor framework used by thousands of dev teams to build collaborative and smart editors.\n\n![uploaded image](/media/?type=post&id=91336&key=user_uploads/1335640/25fe0263-453c-44eb-a825-c0cdad1aa51a)\n\nToday we’re launching a major upgrade to our DOCX import and export capabilities, including new extensions, new endpoints, smarter formatting handling, and custom node support.\n\nIf your product deals with Microsoft Word files in any way, this is for you.\n\n### The Problem\n\nHandling DOCX files in modern web apps is a pain.\n\n* Importing DOCX often breaks formatting or loses structure.\n* Exporting to DOCX from custom content structures (like callouts, embeds, or warnings) is clunky or impossible.\n* Styling ends up looking like Word, not your app.\n* Most solutions are heavy, hard to control, or require running backend services yourself.\n\nThis matters if you’re building anything with rich text and need interoperability with Word, from internal tools and documentation platforms to knowledge bases, legal tech, and publishing tools.\n\n### What We Built\n\nWe rebuilt our DOCX pipeline, including both import and export, from the ground up with developers in mind.\n\n**DOCX Import Endpoint**:\\\nEasily parse Word docs and convert them to Tiptap-compatible JSON.\n\n**DOCX Export Extension**:\\\nCreate DOCX files directly from your editor content.\n\n**Better formatting**: \\\nMore accurate handling of nested lists, tables, and mixed styles.\n\n**Custom node support**: \\\nMap your own content blocks (like warnings or embeds) to standard DOCX elements.\n\n**Style control**: \\\nMatch exported DOCX files to your product’s fonts, colors, and spacing.\n\n**Flexible execution**: \\\nRun it in the frontend for full control or in the backend for performance.\n\nWe also now support image uploading from DOCX into your own storage.\n\n### Why We Built It\n\nWe kept seeing developers often had to work around Word support using custom scripts or third-party tools that weren't compatible with custom content models.\n\nTiptap already powers many text editors, so DOCX support needed to be customizable and ready for production.\n\n→ Product Website: [https://tiptap.dev/product/conversion](https://tiptap.dev/product/conversion)\n\n→ Developer Docs: [https://tiptap.dev/docs/conversion/getting-started/overview](https://tiptap.dev/docs/conversion/getting-started/overview)\n\n→ Questions: [humans@tiptap.dev](mailto:humans@tiptap.dev)",
        "url": "https://www.ycombinator.com/launches/NlA-tiptap-better-docx-import-export",
        "votes": 18,
        "created_at": "2025-06-16T14:06:03.276Z"
      },
      {
        "id": 91010,
        "title": "Tiptap – AI infrastructure for text editors",
        "tagline": "Add an AI Assistant to your rich text editor in minutes, not weeks.",
        "body": "Hey everyone! Philip here, Co-founder at Tiptap (https://tiptap.dev), the open-source text editor framework used by thousands of dev teams to build collaborative and smart editors.\n\n![uploaded image](/media/?type=post&id=91010&key=user_uploads/1335640/7f4a081f-e73b-446c-bd13-8bf62848a9a9)\n\nToday, we’re launching the **Tiptap AI Agent,** a developer-first way to add an AI agent that edits documents on your user's behalf, right inside your product. With this tool, you can add a Cursor-like assistant inside your text editor with a few lines of code.\n\n## The problem\n\nAdding AI to a text editor seems easy! Just call an API, right?\n\nBut in reality, you end up rebuilding everything: prompt handling, context extraction, streaming, undo/redo, multiplayer state sync, UX for AI changes… It’s a lot of work just to get to something usable.\n\nAnd it only gets harder when you want to use your custom LLM, tools, and backend..\n\n## **What we built**\n\nThe Tiptap AI Agent gives you all of this out of the box:\n\n* An AI assistant that can read and edit rich text based on user-defined tasks\n* Optional AI review flow (accept/reject changes)\n* Works with Tiptap Cloud or your customLLM, tools and RAG pipelines\n* Fully compatible with Tiptap’s multiplayer, comments, and change tracking\n\nGo from “idea” to “AI in production” in minutes, not weeks.\n\n## **Why we built it**\n\nWe started building this after seeing the same request from users over and over:\n\n> How do I add AI beyond simple text commands to my Tiptap editor?\n\nSo we turned our existing AI features into a full-fledged AI Agent toolkit that anyone can use, no matter what model or backend they prefer.\n\n**Live demo:** https://ai-agent.tiptap.dev/\\\n**Demo video:** https://youtu.be/w3ocdyi5qps\\\n**Docs:** https://tiptap.dev/docs/content-ai/capabilities/agent/overview\n\n## Our ask\n\nTry the demo and plug it into your editor. If you’re building something cool, we’d love to hear from you.\n\nWe’re also happy to answer technical questions and receive feedback. Join our [Discord community](https://tiptap.dev/discord), or email us at [humans@tiptap.dev](mailto:humans@tiptap.dev).\n\nThanks for building with us!\\\nThe Tiptap Team",
        "url": "https://www.ycombinator.com/launches/Nfu-tiptap-ai-infrastructure-for-text-editors",
        "votes": 23,
        "created_at": "2025-06-04T17:36:02.789Z"
      },
      {
        "id": 90091,
        "title": "Tiptap 3.0 Beta: The Next-Gen Open Source Editor",
        "tagline": "Text editing infrastructure, solved.",
        "body": "![uploaded image](/media/?type=post&id=90091&key=user_uploads/1335640/ecc226df-3a58-45cc-aa81-2af38457fc1a)\n\n**Hey everyone! Philip here, Co-founder at Tiptap (**[**https://tiptap.dev**](https://tiptap.dev)**).**\n\nWe're launching **Tiptap 3.0 Beta**, the next major version of our open-source text editor framework for web developers.\n\n**The Problem:** Building custom, reliable, and performant text editors from scratch is painful. Developers spend countless hours struggling with edge cases, extensibility, and maintaining compatibility! Time better spent building core features.\n\n**Our Solution:** Tiptap version 2 already provides a flexible, unopinionated, extension-based editor framework. But with Tiptap 3.0, we've focused heavily on removing even more friction:\n\n* **Full TypeScript integration:** Strongly typed APIs for fewer bugs.\n* **Server-side compatible:** Manipulate content server-side without the need for a DOM.\n* **JSX support:** Write custom nodes using a familiar React/Vue-style syntax.\n* **Simplified dependencies:** Consolidated popular extensions (like TableKit) to streamline your workflow.\n* **Interactive marks:** React and Vue markviews to easily add rich, interactive elements.\n* **Static renderer:** Render your editor content to HTML, Markdown, or even React components, anywhere.\n\n**Why Tiptap?** We initially built Tiptap to solve our own frustrations with text editors. Four years, 30k GitHub stars, and a large open-source community later, we’ve learned a lot and incorporated that directly into Tiptap 3.0.\n\n**Give Tiptap 3.0 Beta a try:**\n\n* What's new in 3.0: <https://next.tiptap.dev/docs/resources/whats-new>\n* Documentation: <https://next.tiptap.dev/docs/editor/getting-started/overview>\n* GitHub: <https://github.com/ueberdosis/tiptap/tree/next>\n\n**Our ask:** We'd love your feedback! If you're building something cool with Tiptap, or have feature requests and ideas, please reach out directly at [founders@tiptap.dev](mailto:founders@tiptap.dev) or reply here.\n\nThanks for building with us!\\\nThe Tiptap Team",
        "url": "https://www.ycombinator.com/launches/NR5-tiptap-3-0-beta-the-next-gen-open-source-editor",
        "votes": 31,
        "created_at": "2025-05-05T16:27:34.078Z"
      },
      {
        "id": 89529,
        "title": "Tiptap – Editor UI Components and Templates",
        "tagline": "Build rich text editor UIs faster with free React components, templates, and a CLI",
        "body": "**Hey everyone 👋 We’re the team behind Tiptap**\n\nWe just launched **Tiptap UI Components** — a free library of React components and templates to help developers build rich text editor UIs faster, without starting from scratch.\n\n![uploaded image](/media/?type=post&id=89529&key=user_uploads/1335640/b6e5aed3-1527-46c8-b4d7-9be817a44f16)\n\nTiptap itself is a headless editor framework used by thousands of developers to power text editing across their apps. The headless approach gives full flexibility, but it also means you're on your own when it comes to building the UI.\n\nThat’s the problem we’re solving here: many teams don’t have time to design and build all the editor UI pieces (toolbars, menus, upload buttons, etc.) every time they want to add a new editor to their product.\n\n**So we built a solution that gives you a head start:**\n\n* A growing set of handcrafted, MIT-licensed React components\n* A CLI to scaffold your setup in seconds\n* A live editor template you can use out of the box or customize as needed\n\n![uploaded image](/media/?type=post&id=89529&key=user_uploads/1335640/76cac74a-0b69-4fa2-81af-e18f3cdbd803)\n\nEverything is fully optional and customizable. You can add just one component to your existing editor, or build your entire UI with the kit. And Tiptap remains headless at the core — these components sit on top and stay out of your way.\n\n**Backstory:** We originally built Tiptap as a tool for ourselves, and it has grown far beyond that. We’ve seen it used in everything from CRMs and email builders to collaborative docs and CMS platforms. But we also saw devs rebuilding the same UI patterns over and over. So we asked: what if we made that part easier, too?\n\n**Demo template:** <https://template.tiptap.dev/simple>\\\n**GitHub repo:** <https://github.com/ueberdosis/tiptap-ui-components>\\\n**Docs + Components Overview:** <https://tiptap.dev/docs/ui-components/getting-started/overview>\\\n**CLI:** npx @tiptap/cli init\n\nWe’re already working on more components, including some integrated with Tiptap Cloud (e.g. comments, version history).\n\n**Ask:**\n\n* Try out the components and tell us what you'd like to see next\n* Upvote our Product Hunt launch if you like what we’re building\n* Feedback, issues, and PRs are always welcome\n\nFeel free to DM us here or reach out at [founders@tiptap.dev](mailto:founders@tiptap.dev)\n\nThanks for building with us!\\\nThe Tiptap Team",
        "url": "https://www.ycombinator.com/launches/NI1-tiptap-editor-ui-components-and-templates",
        "votes": 42,
        "created_at": "2025-04-15T14:00:48.862Z"
      },
      {
        "id": 72947,
        "title": "⚫️ Tiptap – The developer toolkit for building collaborative apps",
        "tagline": "Build apps like Notion or Google Docs with Tiptap's open-source content editing and real-time collaboration suite.",
        "body": "[Tiptap](https://tiptap.dev) is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including GitLab, Axios, and Substack.\n\n![uploaded image](/media/?type=post&id=72947&key=user_uploads/1335640/87be68c6-2dfb-47a7-a6c3-90e012aa554b)\n\n🤔 **The Problem**\n\nExtensive content editing interfaces and real-time collaboration are a key feature of most apps to deliver value to their users, such as Notion, Miro, Figma, and Google Docs.\n\nWhile the users of these apps expect a best-in-class editing and collaboration experience, it's super painful and complex to develop. As developers, we can testify to this: Entire IT departments despair of these tasks.\n\n💡 **The Solution**\n\nWith Tiptap Editor, you can build apps like Notion in no time. The headless approach gives you complete freedom to build your editor experience the way you want. Tiptap Editor comes with a ton of powerful extensions to help you elevate your app beyond the ordinary. Better yet, Tiptap Editor is free and open-source.\n\nThanks to Tiptap's cloud services, you can easily add more sophisticated features like collaborative editing, real-time sync, or soon AI editor capabilities to your app in less than a minute. Tiptap's cloud services are available for fast-growing startups and as an on-premises solution for enterprises.\n\n🚀 **Who is it for?**\n\nTiptap is for developers and product teams who need to integrate rich text editors into their apps, especially those who value customization, ease of use, and real-time collaboration. Tiptap toolkits and cloud services significantly reduce development time, enabling faster time-to-market and increased profitability for product teams.\n\nTiptap is already used by **thousands of businesses worldwide,** including:\n\n![uploaded image](/media/?type=post&id=72947&key=user_uploads/1335640/619e8a25-0b5c-4174-89f0-4a4084091375)\n\nWith over 1.8 million npm downloads per month, Tiptap is one of the top 5 most popular editor frameworks in the world and is strongly supported by a huge developer community:\n\n* **26k+ community members**\n* **20k+ GitHub stars**\n* **1\\.8k forks**\n* **5k+ commits**\n* **200+ contributors**\n\n🎉 **Meet the Tiptap team**\n\nWe're six co-founders with over a decade of digital consultancy experience, transforming our struggle with building custom editor interfaces into a solution. Since launching Tiptap in 2019, we've been dedicated to scaling up and fully committed since 2022. As passionate designers and developers, we're proud to craft Tiptap's core ourselves.\n\n![uploaded image](/media/?type=post&id=72947&key=user_uploads/1335640/c49d9774-dae5-4aea-8721-650108864024)\n\n❤️ **Our ask**\n\nWe invite you to explore Tiptap's capabilities in your app, contribute to its open source development, and join our welcoming community.\n\n* Star our GitHub repository: [**https://github.com/ueberdosis/tiptap**](https://github.com/ueberdosis/tiptap)\n* Follow us on Twitter: [**https://twitter.com/tiptap_editor**](https://twitter.com/tiptap_editor)\n* and on LinkedIn: [**https://www.linkedin.com/company/tiptapdev/**](https://www.linkedin.com/company/tiptapdev/)\n\nIf you have any questions, or would like to use Tiptap in your app, write us at [**humans@tiptap.dev**](mailto:humans@tiptap.dev)\n\nYours\\\n Nick, Patrick, Philip, Sebastian, Sven and Timo ",
        "url": "https://www.ycombinator.com/launches/IyZ-tiptap-the-developer-toolkit-for-building-collaborative-apps",
        "votes": 369,
        "created_at": "2023-07-11T18:56:11.080Z"
      }
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    "id": 29080,
    "name": "Smobi",
    "slug": "smobi",
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    "website": "https://smobi.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Smobi is the AI-powered platform for branded, interactive business messaging, starting with RCS. We help businesses send rich, personalized messages that drive engagement, build trust, and create real conversations.",
    "one_liner": "Send texts your customers actually want over RCS",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1689048246,
    "tags": [
      "B2B",
      "API",
      "Marketing",
      "SMS",
      "Telecommunications"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
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      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/smobi",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/smobi.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getsmobi/",
    "x_url": "https://twitter.com/GetSmobi",
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d332393d7c5b5f27e1a2f82f8ec54fa8b38e21a1.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 846621,
        "full_name": "Kunal Puri",
        "title": "Founder",
        "founder_bio": "I spent 4 years building out communication systems for Amazon Advertising, and got my first taste of entrepreneurship when I created a Minecraft server that generated over 250K at the age of 15.\n\nNow I'm building Smobi - the AI-powered platform for branded, interactive business messaging, starting with RCS. We help businesses send rich, personalized messages that drive engagement, build trust, and create real conversations.\n\n",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/kunal-puri1",
        "x_url": "https://twitter.com/thekunalpuri",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/740e9a422d9032c9b4ac7fd1f5a56c7fce81ce02.jpg"
      },
      {
        "user_id": 275990,
        "full_name": "Michael Ning",
        "title": "Founder",
        "founder_bio": "Founder and CTO @ Smobi (YC S23), a business for sale marketplace with verified buyer and listing data.\n\nFormerly Dover (YC S19)\n",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/mning1598",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a4ea26d5c55edcd9053b9cb13537a889dbc4576.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 93769,
        "title": "Smobi - Business Texting Reimagined.",
        "tagline": "We help businesses 5x their engagement with interactive & conversational texts over RCS.",
        "body": "Hey everyone, I’m [Kunal](https://www.linkedin.com/in/kunal-puri1/) - founder of Smobi 👋\n\n# **📖 TLDR**\n\nSmobi is the AI-powered platform for branded, interactive business messaging, starting with RCS. We **help businesses send rich, personalized texts** that build trust, drive engagement, and create real conversations.\n\nIf SMS messaging is part of your strategy, we’d love to show you how you can do more!\n\nBook a Demo: https://www.smobi.com/contact\n\n# **🎬 Our Launch Video:**\n\nhttps://www.youtube.com/watch?v=oJkl6m7RxgI\n\n# **‼️ Why This Matters**\n\nModern customer engagement is broken. Despite the abundance of messaging channels - email, SMS, WhatsApp, in-app notifications, and voice - most brand communications feel impersonal, transactional, and spammy. **Consumers are overwhelmed with noise**:\n\n* 82% of consumers received a spam text in the past week\n* 70% of consumers will penalize a business for a poor communication experience\n* 35% of consumers are annoyed by impersonalized and irrelevant content\n\nMessages go unread. Calls go unanswered. Engagement is at an all time low. The problem is clear, all of us have felt it.\n\n# **🛠 Our Solution**\n\nRCS addresses these issues with verified, branded, and interactive messages and it is finally here in the US. However most businesses don’t know it exists, and the few that do are still figuring out how to use it.\n\n**Smobi changes that**. We know exactly how to unlock RCS to drive real value.\n\nWith Smobi, you can:\n\n* 👷 Create complex AI-powered conversational flows in minutes\n* 🚀 Launch them via API or campaign\n* 📊 Analyze every tap, interaction, and read\n\nWe also handle the strict carrier vetting and compliance, so you don’t have to.\n\n**The results speak for themselves**:\n\n* ⚡ On average, 5 - 10x the engagement vs SMS\n* 🎯 4x higher CTR than SMS\n* 💳 Up to 3x increase in purchase intent\n\n# **🙏 Join Us**\n\nWe’re already helping innovative businesses in industries such as healthcare, entertainment, and fintech, leverage RCS to provide the most unique experiences for their customers. \n\nIf you’re interested in doing the same, let’s talk.\n\n\\\nBook a Demo: https://www.smobi.com/contact\n\n![uploaded image](/media/?type=post&id=93769&key=user_uploads/846621/98237455-fafd-4894-959d-7b955b4fde85)\n\n",
        "url": "https://www.ycombinator.com/launches/OOP-smobi-business-texting-reimagined",
        "votes": 12,
        "created_at": "2025-09-11T16:36:35.923Z"
      },
      {
        "id": 73135,
        "title": "Smobi - New age marketplace for businesses for sale",
        "tagline": "Bringing main-street business acquisitions to the 21st century",
        "body": "# Overview\n\nHi everyone, we’re [Kunal](https://www.linkedin.com/in/kunal-puri1/) and [Michael](https://www.linkedin.com/in/mning1598/) from [Smobi](https://smobimarket.com/)!\n\nSmobi is a marketplace that makes it **easy for buyers** to purchase brick & mortar small businesses. We do this by **verifying business listing data** and **managing deal-flow** on our platform.\n\nWebsite: [smobimarket.com](http://smobimarket.com)\n\n![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc69c6f56-e67a-45b9-904d-ee8c7ea7f4f0_3456x1812.png)\n\n### **The Problem:**\n\n* Buyers have to go through numerous listings to find quality businesses because most listings are **incomplete and misrepresented**\n* Business brokers and owners who are looking to sell, **waste their time** working with buyers who aren’t qualified to purchase their business\n* In the past 30 years, technology has only changed the business for sale market in **two** ways:\n  * Listings have moved online instead of being in the local newspaper\n  * Financial documents are emailed instead of being sent via mail\n* The baby boomer generation is retiring over the next decade, who owns **1\\.4 million businesses** that will close their doors unless they are sold to someone willing to buy them\n\n### **The Solution:**\n\nFor those looking to buy, we utilize first and third party data to screen listings, so buyers are looking at the complete picture of the business that is for sale. Buyers can keep track of the state of each of the listings they are interested in and manage deal flow on the platform.\n\n![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4c68aba5-bbb6-4d50-9daf-4afef20fb191_3456x1822.png)\n\nAdditionally, we create NDA protected data rooms with more in-depth documents for each listing on our website. If the broker / seller of the business thinks you’re a good match for buying the business, we send the data room to the buyer.\n\nFor those looking to sell their business, we create a comprehensive profile for each buyer that is interested in a listing that the seller has created. Using data that the buyer has provided and our internal business logic, we classify how well of a match a person is for your business, ultimately saving time in your search for a buyer.\n\n![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F465d0d7a-7313-4cb9-a80a-e6011294ea8c_3454x1828.png)\n\n### **Our Vision:**\n\nOur long term vision is to **digitize the entire acquisition process** for main-street businesses, ultimately making small business ownership attainable for everyone.\n\n### **Who Are We?**\n\nHi everyone, we are Kunal and Michael, and we are building Smobi. Our mission is to make small business ownership attainable by everyone.\n\nKunal formerly worked in Amazon Advertising, where he built several notification delivery channels that supported 10B+ communications annually. Kunal spent over 6 months in 2022 looking to purchase multiple SMBs and found the process of finding and purchasing a business to be extremely complex, especially for a first time buyer.\n\nBefore Smobi, Michael worked at another YC startup, Dover, as an early engineer where he worked on growth initiatives and building AI products.\n\nKunal and Michael grew up together, have known each other for 10 years, and now both reside in NYC. Together, we are attempting to simplify the small business acquisition process for all parties involved.\n\n![uploaded image](/media/?type=post&id=73135&key=user_uploads/846621/2ed626b9-972e-4a72-84c0-fe19ecf48dee)\n\n### **Our Asks**\n\nThank you for reading about Smobi! We welcome any feedback for our platform as we are just beginning!\n\n* **Sign up today**: Sign up and browse 700+ businesses for sale and get notified when businesses come up for sale tailored to your preferences.\n* **Join our newsletter**: Sign up for our [blog](https://smobi.com/blog) for guides on how to buy and sell SMBs!\n* **Give us your feedback**: Tell us more about what criteria and information you would want before purchasing a SMB\n* **Connect us**: Help us connect with SBA approved lenders, business brokers, people looking to purchase small businesses, and owners looking to sell their business",
        "url": "https://www.ycombinator.com/launches/J1b-smobi-new-age-marketplace-for-businesses-for-sale",
        "votes": 44,
        "created_at": "2023-07-17T14:37:58.227Z"
      }
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    "id": 29081,
    "name": "Minded",
    "slug": "minded",
    "former_names": [
      "Octo",
      "AgentsForce"
    ],
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    "website": "https://www.minded.com/",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Generate AI agents with plain English, edit visually, customize with code in your own IDE. Currently automating millions of tasks across support, sales, finance and more for companies like eToro, Payoneer and JustEat.",
    "one_liner": "Cursor for AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1692715178,
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      "Customer Support",
      "AI",
      "AI Assistant"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Middle East and North Africa"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/minded",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/minded.json",
    "year_founded": 2023,
    "city": "Tel Aviv-Yafo",
    "country": "IL",
    "linkedin_url": "https://www.linkedin.com/company/minded-ai",
    "x_url": "https://twitter.com/minded_ai",
    "fb_url": "https://www.facebook.com/profile.php?id=61550230631817",
    "cb_url": "https://www.crunchbase.com/organization/minded-ai",
    "github_url": "https://github.com/minded-ai",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 158086,
        "full_name": "Ohad Navon",
        "title": "Founder",
        "founder_bio": "Launch AI support chatbot that grew Roundforest from $200M to $1B GMV within 18 months. Saved Google $100M in fraud prevention as an engineer. Data science at McKinsey. Graduated at 19. Dan 2 black belt in Krav Maga",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ohad-navon-639b356a",
        "x_url": "https://twitter.com/OhadNavon",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/193479a9a86a46ad81a96abff87dbe8bf10af184.jpg"
      },
      {
        "user_id": 1422243,
        "full_name": "Nadav Zamir",
        "title": "Founder",
        "founder_bio": "Launched the Chinese Google Photos as Director of AI at Alibaba, becoming the #1 app in China.\nEx-CTO & Co-founder at Galigu, search engine for VR, raised money, launched product, but VR wasn’t there yet. \nBuilt the world’s first wireless VR headset at Intel launched at CES by Intel's CEO. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nadavzamir",
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    "launches": [
      {
        "id": 74302,
        "title": "🐙 Octo - AI agents to replace customer support outsourcing",
        "tagline": "We generate AI agents from historical data to instantly resolve 70% of support tickets",
        "body": "Hey YC fam, we’re [Ohad](https://www.linkedin.com/in/ohad-navon-639b356a/) and [Nadav](https://bookface.ycombinator.com/user/1422243), founders of [Octo.](http://getocto.ai)\n\nOcto is an AI agent that actually replaces support outsourcing - it can take **actions via APIs**, read help center article, and email/chat with customers\n\nTop support teams from top 500 Amazon brands to fintech unicorns are using Octo to **replace 70% of their support team**.\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/c6c5c471-9dc6-4498-bcf5-1b750dc4e5cf)\n\n### Support teams can’t build good chatbots\n\nAfter chatting with 100+ support teams we found that support teams lack the tools to build good bots, and even simple issues like refunds are often escalated to human agents.\n\nHere’s a real screenshot from one of our customers who spent **6 months building their chatbot** (which was ultimately implemented by professional services team at Intercom!), resulting in **<15% of tickets solved.**\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/20ce41c6-b478-4173-905f-c683df59b7a7)\n\n### Octo resolves 70% of tickets instantly\n\nOcto makes it really easy to connect to the CRM, help center articles and internal systems via APIs, to instantly generate **human-level AI agents** from historical data.\n\nThere are 3 main reasons our AI agents can solve more tickets:\n\n1. **Taking actions via APIs** - based on our real-world experience about 80% of tickets require pulling customized data or take actions on behalf of customers.\n2. **Learning from past tickets** - enabling significantly higher accuracy and eliminating the frequency of AI hallucinations. Technically speaking we’ve built retrieval augmented generation that can easily generalize across customers and industries.\n3. **Multi-party conversations** - much of the work of human agents often involves tasks outside of the ticket itself like investigating delays with couriers.\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/6e027f10-fec4-4147-a7de-0232e106176e)\n\n### Built by AI Engineers\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/8c74656a-fdd0-4da0-8015-68c140cc33d4)\n\nOcto’s accuracy draws from Nadav’s experience as **Director of AI at Alibaba** where he built and launched LLMs to improve Alibaba search used by millions of consumers every day.\n\nThe idea was born when Ohad launched an AI support chatbot that took Roundforest **to $1B GMV.**\n\n### The ask\n\n* **Take Octo for a spin** - tell us what’s your most painful support use case and we’ll create a personalized demo of Octo based on your support context.\n* **Spread the love -** if you can think of other support teams that are overworked and looking to automate their customer support we’d really appreciate and introduction 🙏\n\nSounds interesting to you? Email us at [founders@getocto.ai](mailto:founders@getocto.ai)",
        "url": "https://www.ycombinator.com/launches/JKQ-octo-ai-agents-to-replace-customer-support-outsourcing",
        "votes": 22,
        "created_at": "2023-08-22T14:43:16.720Z"
      }
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    "id": 29082,
    "name": "Strada",
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        "full_name": "Amir Prodensky",
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    "long_description": "One Postgres for your application data, full-text search, vector retrieval, and aggregations.",
    "one_liner": "You should just use Postgres.",
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        "answer": "We (Phil and Ming) previously built Whist, a cloud-hybrid browser, together with an amazing team of 20 from 2020 to 2023. We originally met at university, in 2016, during the earliest days of orientation, and quickly became close friends, pitching each other startup ideas throughout college, until we decided to make the jump during our senior year.The idea for ParadeDB came from building on the experience acquired in the cloud infrastructure market during our Whist days, and from talking with 50+ customers in the beginnings of YC S23. We initially applied to YC with a completely different idea, but pivoted into what became ParadeDB after seeing more customer interest for the infrastructure we had built to service our prior idea, a sustainability platform, than the idea itself; and thus ParadeDB was born."
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        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We were looking for an environment that would help us make something people want and not get caught in all the other non-essential parts of building an early-stage company. Our experience with YC was shaped by this mindset from application to fundraising and we had a great experience."
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        "answer": "ParadeDB started during the YC batch, in Summer of 2023. We first released `pg_search`, our full-text search product in Postgres. A few months later we released `pg_analytics`, our analytics product in Postgres. We eventually combined them both into a single Postgres extension to offer full-text search and analytics in Postgres. Today, we’re productionizing both in ParadeDB and working to serve increasingly large customers."
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        "full_name": "Philippe Noël",
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        "full_name": "Ming Ying",
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        "title": "Founder",
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        "full_name": "Dasha Cherepennikova",
        "title": "Founder",
        "founder_bio": "Excited to be working in climate tech to accelerate the transition to a greener and more energy efficient economy. \n\n12+ years scaling hard problems through automation, ML. Seasoned product leader, experience building teams, taking products 0->1 and 1>100.  Ex-Stripe, Airbnb, Google. ",
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        "title": "Line: Enabling affordable building decarbonization",
        "tagline": "Line empowers contractors with tools that make building decarbonization projects affordable for their customers and boosts conversion rates",
        "body": "### **Tl;dr**\n\n[Line](https://www.line.build/?utm_source=YCLaunch&utm_medium=post) empowers contractors with tools that make building decarbonization projects affordable for their customers and boosts conversion rates. We consolidate the thousands of rebates, incentives, and green financing options for energy efficiency upgrades, and make it easy for contractors to secure funding for their customers.\n\n**We’re looking for intros to HVAC installers and electrification services for our pilot**. And if you’re thinking about getting a heat pump, we’d love to help you find and apply for rebates and other incentives. Get in touch at [founders@line.build](mailto:founders@line.build)\n\n### **The Problem**\n\nWith buildings accounting for almost 40% of US GHG emissions, retrofitting for efficiency is essential to reduce emissions and load on the grid, but expensive. Over $80B of rebates, incentives and financing is available but hyper-fragmented across utilities, federal funds, grants, and green lending programs. Contractors are often responsible for helping consumers navigate this fragmented landscape - not only does their consumer demand it, but many sources of funding require it. This is leading to an increase in overhead, as they hire Ops teams and consultants to meet demand. Contractors that do not provide this service are seeing their conversion impacted, as consumers look to maximize savings. \n\n### **Our Solution**\n\nLine is a single source of truth for all available funding options. By providing a few pieces of information, such as project address and scope, contractors can easily access all available incentives and financing options available to their customer. Requirements are consolidated and distilled in a simple manner and we make suggestions that help contractors maximize savings for their customers. Maximized savings, means maximized conversion!\n\nOnce the customer is ready to proceed with the project, the contractor can leverage a common application to apply for all eligible programs. We remove the hassle of navigating multiple websites, printing documents, or mailing applications.\n\nOur platform is designed to be user-friendly, available in multiple languages, and accessible on both web and mobile devices. Additionally, we provide an API that seamlessly integrates with existing quoting tools, enhancing efficiency and convenience.\n\n![uploaded image](/media/?type=post&id=72550&key=user_uploads/1432654/02e79c39-4134-4f77-bff2-286ca21bbd57)\n\n### **Our Backstory**\n\nDasha and Steph have worked on payments and risk management for the last 10+ years at companies such as Airbnb, Plaid, Stripe, Asana, Gusto, and Google. We couldn’t think of a bigger risk than climate change, and wanted to find ways to help accelerate the transition to a greener and more energy efficient economy. We learned that cost is a big barrier to deploying technology such as heat pumps. We knew that funds such as utility rebates were available, but were surprised at how hard the process of discovering and applying for them is – so we decided to help solve that! \n\n![uploaded image](/media/?type=post&id=72550&key=user_uploads/1432654/96e73cbe-5f05-4084-b4bc-890df449174a)\n\n### **Ask: How you can help**\n\n* Connect us to contractors such as HVAC installers, residential solar companies, electricians or whole home electrification contractors to try out our pilot\n  * _quick blurb to copy & paste:_ [Line](https://www.line.build/?utm_source=YCLaunch&utm_medium=post) is a new tool that creates a single source of truth for all available funding options for home energy efficiency projects. They help access sources of funds to reduce project cost and increase conversion. Check them out at [www.line.build](http://www.line.build) or get in touch at [founders@line.build](mailto:founders@line.build)\n* Are you thinking about a home project such as getting a new hot water heater or heat pump? We’d be keen to help you get any rebates or incentives (email us at [founders@line.build](mailto:founders@line.build))\n* Intros to companies that build other contractor tooling such as quoting or invoicing.\n\n ",
        "url": "https://www.ycombinator.com/launches/IsA-line-enabling-affordable-building-decarbonization",
        "votes": 234,
        "created_at": "2023-06-26T19:01:06.507Z"
      }
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    "id": 29090,
    "name": "Trayd",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Trayd is building the operating system for commercial construction: payroll, compliance, and back office workflows that actually work in the real world.\r\n\r\nConstruction is one of the biggest industries in North America (valued at $2T+), and it still runs on a messy mix of spreadsheets, legacy payroll providers, and manual processes that break the moment things get even slightly complex. The people doing the work are the hardest working people in the country, and the companies running crews are forced to spend hours every week fighting systems that were never built for them.\r\n\r\nWe’re changing that.\r\n\r\nTrayd started with a simple promise: construction workers should be able to access the money they already earned faster, and subcontractors should be able to run payroll without chaos. Today, we’re building deeper infrastructure across payroll, union rules, job costing, and accounting workflows so our customers can run their businesses with confidence.",
    "one_liner": "A construction payroll and compliance platform built for specialty…",
    "team_size": 34,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1689535318,
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    "batch": "Summer 2023",
    "status": "Active",
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    "stage": "Growth",
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    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/buildtraydllc/",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1435469,
        "full_name": "Anna Berger",
        "title": "Founder",
        "founder_bio": "2x founder | product and growth hacker \n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anna-berger-39497a72",
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        "user_id": 1434148,
        "full_name": "Cara Kessler",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/carakessler",
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    "jobs": [
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        "id": 89198,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/trayd/jobs/1Ez3l4b-senior-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $220K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React",
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      {
        "id": 91081,
        "title": "Implementations Analyst",
        "url": "https://www.ycombinator.com/companies/trayd/jobs/2DvQ0jQ-implementations-analyst",
        "location": "Manhattan, United States",
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        "id": 91083,
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        "url": "https://www.ycombinator.com/companies/trayd/jobs/9lEwtm5-senior-implementations-analyst-enterprise",
        "location": "Manhattan, United States",
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      {
        "id": 106604,
        "title": "AI Support Specialist",
        "url": "https://www.ycombinator.com/companies/trayd/jobs/AoVlEfg-ai-support-specialist",
        "location": "Manhattan, United States",
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        "role": "Support",
        "role_type": null,
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        "experience": "Any (new grads ok)",
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    ],
    "news": [
      {
        "title": "Exclusive: YC Doubles Down On Trayd, A Construction Tech Startup That Just Raised $10M In 3 Weeks",
        "url": "https://news.crunchbase.com/venture/construction-tech-automation-trayd-ai-seriesa/",
        "date": "Mar 25, 2026"
      },
      {
        "title": "3 - Empowering Construction Payroll with Trayd - YouTube",
        "url": "https://www.youtube.com/watch?v=LSXho1Bpwv4",
        "date": "Mar 18, 2024"
      },
      {
        "title": "Trayd",
        "url": "https://read.unicorner.news/p/trayd",
        "date": "Mar 11, 2024"
      },
      {
        "title": "Why Y Combinator alumni, Anna Berger, is reinventing construction payroll - YouTube",
        "url": "https://www.youtube.com/watch?v=cqDGLtWy_M4",
        "date": "Mar 07, 2024"
      },
      {
        "title": "Top Risk Management Tools For Construction | aec+tech",
        "url": "https://www.aecplustech.com/blog/top-risk-management-tools-for-construction",
        "date": "Feb 28, 2024"
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      {
        "id": 73344,
        "title": "Trayd 🏗️ Construction payroll designed for same-day pay",
        "tagline": "Trayd reinvents traditional construction payroll, creating financial opportunity for subcontractors and their workers.",
        "body": "### **TL;DR:**\n\nTrayd is reinventing construction payroll for the betterment of all key players. For commercial real estate subcontractors, Trayd generates back office efficiencies with a platform that manages workforce attendance and payroll. For workers, Trayd offers instant access to their earned wages. Win-Win.\n\nWe are Anna Berger and Cara Kessler, the team behind @Trayd and we are on a mission to digitize construction payroll in order to power a better financial future for subcontractors and their workers.\n\n![uploaded image](/media/?type=post&id=73344&key=user_uploads/1435469/811e72a1-0fc1-4b73-ab24-27b7ed95567f)\n\n### 🚨**Problem**🚨\n\nWithin commercial real estate, demand for work is at an all-time high. In the last year, total construction spend in New York City reached $86BN and it keeps on climbing. That said, construction subcontractors are ill-equipped to handle the influx of work, with only 17% of them using digital tools to manage their back office. This lack of tech adoption is leading to work stoppages and high attrition, resulting in major revenue loss.\n\nTo make matters worse, construction employment still lags behind pre-covid levels. Of those that remain, highly skilled workers are choosing to leave the trades in search of more control over their cash flow, for example, gig economy jobs that allow them to work when they want and get paid instantly.\n\n### **🏗️ Our Solution** 🏗️\n\nTrayd is new type of construction payroll platform, designed to incentivize all key players. Through a closed loop system, Trayd tracks workers’ daily attendance in order to power real-time payroll automation. By merging time and payroll data into one system, subcontractors save tens of hours a week on manual back office work. As an added bonus, because Trayd authenticates attendance in real-time, Trayd can offer instant payment options to the workforce.\n\n![uploaded image](/media/?type=post&id=73344&key=user_uploads/1435469/5ed2d168-f70d-4752-b949-09d093ba8d81)\n\n![uploaded image](/media/?type=post&id=73344&key=user_uploads/1435469/92cdb561-b705-4aca-9ce1-c33f875435b9)\n\n### 📖 **The Backstory** 📖\n\nBorn into a construction family and close to the problems that plague subcontractors and workers on a daily basis, our team is excited to modernize construction back office operations while simultaneously offering financial tools and opportunities to subcontractors and workers.\n\n### **Asks 🙏**\n\n* Know anyone in the construction industry? We’d love to speak to any general contractors, subcontractors, construction workers, or developers about their day-to-day experiences. Send any leads to [anna@buildtrayd.com](mailto:anna@buildtrayd.com)\n* Follow along on our journey! → <https://www.linkedin.com/company/traydinc/>\n\nIf you have any questions, reach out! We’d love to hear from you.",
        "url": "https://www.ycombinator.com/launches/J4y-trayd-construction-payroll-designed-for-same-day-pay",
        "votes": 43,
        "created_at": "2023-07-24T15:14:09.940Z"
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    "id": 29092,
    "name": "dili",
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      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 312266,
        "full_name": "Anand Chaturvedi",
        "title": "Founder/CEO",
        "founder_bio": "Anand Chaturvedi is the Co-Founder & CEO of Dili working in New York, NY. Anand led engagement growth at Coinbase (S12) to increase revenue by $50M, and built out KYC/AML systems. Previously, Anand has conducted ML research at Apple, working on new hardware products. Anand is a fellow at Kleiner Perkins, and holds a Bachelor's & Master's in Machine Learning from Georgia Tech.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anandchaturvedi1",
        "x_url": "https://twitter.com/metanand",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ca2da781fefc7d0c8c5e13645f68d3b19964d31.jpg"
      },
      {
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        "full_name": "Brian Fernandez",
        "title": "Founder",
        "founder_bio": "Building compliance automation that keeps America’s big projects moving.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/brianfernandez1",
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        "id": 75683,
        "title": "Founding Business Development Representative",
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        "role_type": null,
        "salary_range": "$65K - $95K",
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        "id": 76552,
        "title": "Senior Full-Stack Engineer",
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        "title": "Compliance Customer Success Manager",
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        "location": "New York, NY, US / Remote (US)",
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      },
      {
        "id": 101985,
        "title": "Product Manager",
        "url": "https://www.ycombinator.com/companies/dili/jobs/VzbrBab-product-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "id": 101986,
        "title": "DevOps Engineer",
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        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$180K - $220K",
        "equity_range": "0.10% - 0.20%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
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          "Docker",
          "Terraform"
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      },
      {
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        "title": "Demand Gen Marketer",
        "url": "https://www.ycombinator.com/companies/dili/jobs/vRGv4ue-demand-gen-marketer",
        "location": "New York City, NY / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$95K - $225K",
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        "visa": "US citizen/visa only",
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      {
        "id": 108688,
        "title": "Senior QA Engineer",
        "url": "https://www.ycombinator.com/companies/dili/jobs/VkpvtaS-senior-qa-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$160K - $190K",
        "equity_range": "0.05% - 0.20%",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
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        "title": "Senior QA Engineer",
        "url": "https://www.ycombinator.com/companies/dili/jobs/xVXDovT-senior-qa-engineer",
        "location": "New York City, NY / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111953,
        "title": "Sale Operations Manager",
        "url": "https://www.ycombinator.com/companies/dili/jobs/e0gtTc4-sale-operations-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 116802,
        "title": "Founding Recruiter",
        "url": "https://www.ycombinator.com/companies/dili/jobs/BUyQpRH-founding-recruiter",
        "location": "New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiting lead",
        "salary_range": "$150K - $195K",
        "equity_range": "",
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        "experience": "Any (new grads ok)",
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      },
      {
        "id": 117462,
        "title": "Customer Success Specialist",
        "url": "https://www.ycombinator.com/companies/dili/jobs/8smosJB-customer-success-specialist",
        "location": "New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$70K - $90K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Dili raises $21.7M to bring AI compliance to the infrastructure boom | TechCrunch",
        "url": "https://techcrunch.com/2026/07/30/dili-raises-15-million-to-bring-ai-compliance-to-the-infrastructure-boom/",
        "date": "Jul 30, 2026"
      },
      {
        "title": "Dili Raises $21.7m from Khosla Ventures to Bring AI-Powered Assurance to America’s Infrastructure Boom",
        "url": "https://finance.yahoo.com/technology/ai/articles/dili-raises-21-7m-khosla-193900367.html",
        "date": "Jul 29, 2026"
      },
      {
        "title": "Dili wants to automate due diligence with AI | TechCrunch",
        "url": "https://techcrunch.com/2024/02/19/dili-wants-to-automate-due-diligence-with-ai/",
        "date": "Feb 19, 2024"
      },
      {
        "title": "Y Combinator Demo Day 2023: Our favorites Day 2 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/",
        "date": "Sep 07, 2023"
      }
    ],
    "launches": [
      {
        "id": 82651,
        "title": "Dili: The most reliable AI for diligence on high-stakes deals",
        "tagline": "Dili has provided diligence and red flags on 3000+ deals across tax credits, real estate, private credit and PE.",
        "body": "Hi everyone, we are Brian and Anand. We had a big month at Dili with +210% revenue growth MoM, and we wanted to publicly share how Dili can improve underwriting and investment outcomes for our customers.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/5c9775a5-577f-46a8-b175-df7c53aa86e7)\n\n**🧨 The Problem: Due Diligence is time-consuming, prone to human error, and today’s AI is not equipped to handle these mission-critical workflows**\\\n\\\nDue diligence today can mean spending weeks digging up data in datarooms using your domain-specific knowledge and presenting findings in memos to make multi-million-dollar investment decisions. All of this work is manual, time-consuming, and very often prone to human error. There are several cases where it is not feasible to have a human sift through 100’s of documents to find the red flag buried deep in the data room. Today’s AI models are not accurate enough to assist with mission-critical use cases like underwriting $60M+ tax credit transactions, $100M+ loan & lease abstraction, deal screening, and drafting investment memos.\\\n\\\n**🧿 The Solution: Dili’s AI Platform reads every file to generate relevant reports - with confidence scores.**\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/a75b94cc-08d8-475d-87eb-2722f0f2ff4b)\n\nDili is built to be the most reliable platform for automating diligence and portfolio management workflows. It can read every file in a dataroom and provide reports with confidence scores on every output so you know when something needs your attention. Using the in-app file viewer, you can inspect sources directly with text highlighted.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/1ce274aa-4733-4e59-aca9-d9275250bac9)\n\nFirms can now tune Dili using their domain knowledge and instructions to fit their custom templates, reports, and SOPs. Using this fine-tuned expertise, Dili has found and fixed critical red flags and human errors on several multi-million dollar transactions across 3000+ deals.\n\n**Dili has been used to automate:**\n\n✅ **Tax credit** diligence to validate credits and underwrite risk on transactions\n\n✅ **Real estate** OM screening, loan, and lease abstraction\n\n✅ **Private Equity and Private Credit** deal screening and DD checklists\n\n✅ **VC** portfolio monitoring and drafting investment memos\n\n<https://youtu.be/hZfjKyGg1bU>\n\n### **👋 Ask: How you can help**\n\n* If you are involved in tax credit, real estate, or private credit/PE transactions, we’d love to share how Dili can help you. Book a demo [here](https://calendly.com/anand-dili-ai/30min).\n* Follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)!",
        "url": "https://www.ycombinator.com/launches/LV5-dili-the-most-reliable-ai-for-diligence-on-high-stakes-deals",
        "votes": 15,
        "created_at": "2024-08-01T19:01:58.230Z"
      },
      {
        "id": 73138,
        "title": "🧿 Dili: Accelerating due diligence with AI",
        "tagline": "Dili is the newest analyst on your deal team - who lets you complete due diligence in hours, not weeks.",
        "body": "**_Tl;dr:_** _Dili is an AI platform that accelerates manual tasks involved in the due diligence process for both buy- and sell- side deal teams. We make it easier for the buy-side (PE/VC funds) to invest in and buy companies, and for the sell-side to streamline due diligence processes for capital raises or M&A. Dili helps you make data-driven investment decisions through due diligence - from understanding the deal dataroom, leveraging your firm’s internal knowledge, to crafting investment deal materials. _[_Contact us here_](https://www.diliai.com/)_._\n\n\\\nHi everyone, we are Stephanie, Brian, and Anand - the co-founders of Dili! After working together at Coinbase, we decided to take on the challenge of making the due diligence process for capital markets more efficient for both buy-side and sell-side deal teams.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/1392cf6c-9a41-45c9-b07c-eba28b21eb7b)\n\n### **🧨 The Problem: Due diligence is a time-consuming, manual process that is required for doing deals**\n\nStephanie (CEO, Co-founder) spent years working in investment banking, corporate development, and venture capital doing over $500m+ in deal volume. Her job consisted of several hours a day of tedious, manual tasks and workflows while conducting due diligence on deals. Today, due diligence means spending weeks or months carefully reading through company datarooms, digging up data across internal tribal knowledge & external sources, and analyzing or presenting findings in memos to make million dollar investment decisions.\n\nThis time-consuming, manual process means investors see fewer deals per year - and cannot dive deep enough on thorough due diligence for each deal. (i.e., JP Morgan’s recent acquisition of Frank!)\n\n### **🧿 The Solution: Dili’s AI platform that helps you make better investment decisions**\n\nDili is an LLM-powered platform that creates insights and analyses for investors which sits on top of 3 sources of data: 1.) the dataroom from the company you are doing due diligence on, 2.) a custom built structured internal knowledge database for your unstructured data, 3.) data integrations from your favorite external partners. Our solution helps you conduct data-driven due diligence because it improves the quality of due diligence conducted. LLMs run on top of all available internal and external data to provide you with better analyis and insights, making it 5x faster by automating the most manual parts of the process.\n\nImagine a new deal comes across your desk - you can use Dili to deeply **understand the information in a dataroom**, automatically find anomalies or red flags, and instantly calculate financial metrics/models.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/c0e1c5c7-e38b-4a87-909f-5e11f7c9cb65)\n\nIf you wish to proceed with the deal - Dili structures and searches through your firm’s **internal knowledge base** as well as **external sources** (Pitchbook, Crunchbase, Tegus, LinkedIn etc.) to provide comprehensive comparables analysis and dashboard metrics for each new deal.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/20b06589-6dbf-4335-b6dd-a4038b83a363)\n\nFinally, as you are coming to a thesis and writing an investment memo - Dili can put together a **first-cut memo / deal packet in minutes**, not days.\n\nUsing Dili, **PE & VC Firms**:\n\n✅ Conduct a due diligence deep dive on several more companies per year\n\n✅ Catch red flags early during due diligence (like Frank’s list of fake usernames) to potentially save millions\n\n✅ Search through a database of every company your firm has seen, to find comparables across your entire knowledge base\n\n✅ Get AI-enhanced insights to make better data-driven investment decisions\n\n### \n\n### **👋 Ask: How you can help**\n\n* If you’re an **investor** looking to improve your due diligence process, we’d love to share how Dili can help you. [Book a demo here.](https://calendly.com/steph_dili/30min)\n* If you are a **startup** planning to fundraise soon, we could help make this process easier. [Contact us here.](https://mailto:sales@diliai.com?subject=Connecting%20you%20to%20Dili)\n* Please share this post, and follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)! 🧿",
        "url": "https://www.ycombinator.com/launches/J1e-dili-accelerating-due-diligence-with-ai",
        "votes": 76,
        "created_at": "2023-07-17T15:57:36.172Z"
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    "id": 29101,
    "name": "Cargo",
    "slug": "cargo",
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    "website": "https://getcargo.io",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "We’re redefining how teams execute GTM by making them leaner, faster and engineer-driven. In an AI-first world, we’re replacing SDR-heavy models with a hybrid approach, empowering full-cycle AEs through a blend of manual effort and automation.\r\n",
    "one_liner": "Build your GTM workforce",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1687355301,
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    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/cargo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cargo.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cargo-hq",
    "x_url": "https://twitter.com/cargo_hq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0d8cb5eeb1f59caf6bbe0cc250f3653dd62358d.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1182415,
        "full_name": "Aurelien Aubert",
        "title": "Founder",
        "founder_bio": "+10y of experience in data & growth engineering - ex Spendesk (french unicorn)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/auree",
        "x_url": "https://twitter.com/aureeaubert",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43da9aba44d8b087c2ba4472af630b1cc228c1c1.jpg"
      },
      {
        "user_id": 1206264,
        "full_name": "Maxence De Villepion",
        "title": "Founder",
        "founder_bio": "10 years xp in generating revenue for fast-growing companies (among them: 2 unicorns: Ledger and Spendesk)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tshaped-marketer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec15742e5a1e22291cad9147047f13508fda5538.jpg"
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    ],
    "jobs": [
      {
        "id": 72406,
        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/cargo/jobs/frqAMJ9-senior-product-engineer",
        "location": "San Francisco, CA, US / Paris, Île-de-France, FR / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
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      {
        "id": 73989,
        "title": "Founding AE",
        "url": "https://www.ycombinator.com/companies/cargo/jobs/hLc670b-founding-ae",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 105579,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/cargo/jobs/dIqe5jd-sales-development-representative",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$65K - $100K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 72778,
        "title": "🚢 Cargo, the revenue architecture for modern teams",
        "tagline": "Easily segment, score and route leads to turn pipeline into revenue",
        "body": "### **tl;dr**\n\nCargo is the first revenue architecture built for modern teams. We help revenue teams to access their company data and automate their sales operations. We provide a headless interface to enable them to easily segment, score and route leads to turn pipeline into revenue.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/4de69132-aa36-4e7e-9574-a34127936fa2)\n\nSalut 🇫🇷, we are Aurelien and Max, 2 passionated people about data and go-to-market with more than 10+ experience. We previously met at Spendesk where we used to built together the revenue engine in house, feeding more than 200 sales on autopilot, in our 3 different markets and bringing the meeting booked rate from 5% to 15%.\n\n### **All in one CRM are dead**\n\nOver the past years, the number of tools used by revenue teams have increased significantly. Sales/marketing/finance data and workflows exist in disparate systems and share different definitions.\n\n5 years ago, companies started to invest a lot in data tools (like Dagster, reverseETL, DBT) to consolidate these fragmented data and build their revenue source of truth in Snowflake instead of Salesforce.\n\nHowever, the modern data stack has made revenue teams more than ever dependent from data teams. This ended up creating too technical and unmaintainable revenue workflows.\n\nToday, and especially in this downturn period, companies are looking do more with less. The future belongs to compounds softwares. RevOps teams need to unify their operations in one place without compromising the flexibility.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/a22f9668-bd79-4c62-ad66-ff9a43bce097)\n\n### **The opportunity**\n\nIn today’s reality, 80% of SaaS companies offer a sales-driven customer approach. Even with the new hype of PLG as a GTM motion, there is more than never a need to prioritize on which accounts the sales reps should focus their energy.\n\n**Current systems don’t solve marketing and sales alignment**\n\nFor years, the alignment of sales and marketing has been somewhat of a mythical beast in the business world, eluding even the best of us. Companies still have disparate data leading to disconnected customer journeys. Cargo serves as the glue between your revenue stack, so you can easily orchestrate [Allbound strategy](https://www.linkedin.com/posts/tshaped-marketer_allbound-sales-realbuyerjourney-activity-6982722735391006721-K7LQ?utm_source=share&utm_medium=member_desktop) _(ie: coupling inbound & outbound approaches)._\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/e75a4042-59a5-4e5b-9028-8847c1c139f8)\n\n**Current systems don’t make sales rep more efficient**\n\nSales spend only 1/3 of their time selling: the [Salesforce State of Sales 5th edition](https://www.salesforce.com/content/dam/web/en_gb/www/pdf/state-of-sales-5th-edition.pdf) study reveals that Sales reps spend only 28% of their week actually selling. This is a sobering statistic in an era where AI and automation are advancing at a rapid pace. Cargo automates the entire pre-sales journey (waterfall enrichment, data verification, lead prioritization, account assignment & routing to sales sequences + write AI powered sales notes to let sales reps drive meaningful conversation with prospects) and follow the boom of revenue operations.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/d8e865f3-63f2-48d1-9221-50e846f0c3f6)\n\nThe revenue operations market is considered currently as the fastest growing market and is projected to be multiplied by 3 in 2028.\n\n### **The solution**\n\nWe designed Cargo by getting the most out of unbundling and bundling architectures. Cargo sits directly on top of your company data. We built a set of features to allow revOps teams to easily manage their revenue data & workflows.\n\n**Setup your system of record**\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/639d1103-fb26-4c5b-baf8-99e73d435c03)\n\nKeep the control and flexibility of your data. Your data warehouse is used as the backend of Cargo and data are never stored on our side. Easily leverage the data models built by your data teams and connect them to your revenue sources.\n\n**Define your business entities**\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/09b5b961-2b09-4126-a5d5-09290eef9087)\n\nBe versatile by defining the entities that make sense for your business or use cases. PLG or SLG, Inbound or Outbound, Fintech or Ecommerce, …\n\n**Create your segments**\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/a73a418a-2690-4a08-a968-2ef51ddb442c)\n\nCreate segments without writing any lines of SQL\n\n**Build and deploy your workflows**\n\nOrchestrate your prospect and customer journeys to systematize your sales process and ensure sales reps are loaded up with qualified accounts at scale.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/9604c20f-6593-4047-bcd6-966227970d91)\n\n## **Asks**\n\n* If you want to grow your pipeline and get more revenue with the same resource, [book a demo with us](https://calendly.com/max-growth/30min) directly and we’ll get you a VIP onboarding asap.\n* Connect us to CRO, Sales ops / Rev ops leaders in your network.\n\n### **Stay in the loop**\n\n* Sign up on <https://getcargo.io>\n* Check our [Changelog](http://changelog.getcargo.io) and [Documentation](https://docs.getcargo.io)\n* Follow us on [Linkedin](https://www.linkedin.com/company/cargo-hq)",
        "url": "https://www.ycombinator.com/launches/Ivq-cargo-the-revenue-architecture-for-modern-teams",
        "votes": 83,
        "created_at": "2023-07-05T16:48:16.967Z"
      }
    ]
  },
  {
    "id": 29103,
    "name": "Inconvo",
    "slug": "inconvo",
    "former_names": [
      "ten.dev",
      "Ten"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/42126d50fed615bc74167d22b4985b25e9d25fad.png",
    "website": "https://inconvo.com",
    "all_locations": "Limerick, County Limerick, Ireland",
    "long_description": "Inconvo is the open-source platform for building data agents on production data. With safe queries, permissions, and structured outputs.\r\n\r\nUse Inconvo to build and deploy data agents that query production databases and can be called directly from your application. You get safe query execution, permissions, stateful conversations, and observability out of the box.",
    "one_liner": "Build chat-with-data agents for customer-facing applications",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1690946743,
    "tags": [
      "Developer Tools",
      "Analytics",
      "API",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Ireland",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/inconvo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/inconvo.json",
    "year_founded": 2023,
    "city": "Limerick",
    "country": "IE",
    "linkedin_url": "https://www.linkedin.com/company/inconvoai",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/42126d50fed615bc74167d22b4985b25e9d25fad.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 1151062,
        "full_name": "Eoghan Mulcahy",
        "title": "Founder",
        "founder_bio": "Co-founder of Inconvo ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/eoghan-mulcahy",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ff19867067d1703d0f567694ee725542cc8d350.jpg"
      },
      {
        "user_id": 1153587,
        "full_name": "Liam Mulcahy",
        "title": "Founder",
        "founder_bio": "Co-founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/liam-mulcahy-418001174",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dc7299a418449aab17f1a5f3571248e5e83d537.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 97668,
        "title": "📶 Inconvo: Open source AI agent for customer-facing chat-with-data",
        "tagline": "The easiest way to add reliable chat-with-data to your product",
        "body": "# TLDR;\n\nInconvo helps companies add chat-with-data agents to their product. We provide a platform for configuring agent rules and directions and a simple API endpoint to call them. We’re open source — check out our repository [here](https://github.com/inconvoai/inconvo). We also offer Inconvo cloud — check it out at [app.inconvo.ai](https://app.inconvo.ai)\n\n[**https://www.youtube.com/watch?v=sbDTAbVG-WQ**](https://www.youtube.com/watch?v=sbDTAbVG-WQ)\n\n# The problem:\n\nToday, many product teams are under pressure to add “data agents” to their apps that connect to live databases and answer user questions.\n\nChat-with-data demos are easy. Shipping one to real customers is hard.\n\nMost teams start with “LLM generates SQL + prompts,” then run into three issues:\n\n* **Data safety:** you can’t reliably stop the model from pulling the wrong rows, crossing tenants, or selecting sensitive columns.\n* **Business correctness:** metric definitions, allowed filters/enums, join paths, and formats get split across prompts which can confuse the model and drift over time.\n* **Boundaries:** because the model can generate arbitrary SQL, “only allow these joins/filters/columns” becomes brittle after-the-fact validation.\n\nThe result is a second system of guardrails and checks just to make it safe to ship.\n\n### The solution:\n\nInconvo flips the approach: constrain the agent up front instead of trying to rein it in after.\n\n* **A semantic model as the contract:** define approved tables/columns, metrics, filters/enums, and join paths in one place.\n* **Constrained query plans (not SQL):** the model outputs structured query plans which are validated against your semantic model before execution.\n* **Automatic access rules:** tenant scoping and field restrictions are enforced on every request with deterministic code not prompts.\n\nYou can call your data agent from your application in just a few lines of code:\n\n![uploaded image](/media/?type=post&id=97668&key=user_uploads/1151062/a427ef4c-552e-4a7e-8675-671a08023bbf)\n\n# Our ask:\n\nCheck out our repo and leave us a ⭐ on Github: [**https://github.com/inconvoai/inconvo**](https://github.com/inconvoai/inconvo)\n\nRun Inconvo OSS locally `npx inconvo@latest dev` Or sign up to our cloud for free [**https://app.inconvo.ai**](https://app.inconvo.ai)",
        "url": "https://www.ycombinator.com/launches/PPI-inconvo-open-source-ai-agent-for-customer-facing-chat-with-data",
        "votes": 6,
        "created_at": "2026-02-10T17:40:07.857Z"
      },
      {
        "id": 94541,
        "title": "Inconvo ⚟: Build MCP servers for SaaS customers",
        "tagline": "Make your existing data ready for AI apps like ChatGPT to use — quickly and securely.",
        "body": "# **TL;DR**\n\nConnect your existing database + auth provider and launch an MCP server for your customers in a few minutes.\n\n[Watch me ship an MCP server and connect it to ChatGPT in 2.5 minutes](https://www.youtube.com/watch?v=4G41AQJZMO0)\n\n# The Problem\n\nA few days ago OpenAI announced Apps for ChatGPT — a new generation of apps you can chat with, right inside ChatGPT.\n\n**An MCP server is the foundation of every Apps SDK integration**. It exposes tools that the model can call, enforces authentication, and packages the structured data plus component HTML that the ChatGPT client renders inline.\n\nYou can build an MCP server in one of two ways:\n\nA)\n\n_Load all of your API endpoints into the MCP server as tools and have the client decide which aggregation of tools it should use to fulfil user requests._\n\nThis approach **works well if you already have a highly composable API** designed for data analysis — concretely the API expresses any combination of filters, sorts, and transformations in a structured way.\n\nHowever, most SaaS APIs are designed for record management, not data analysis or flexible retrieval. These APIs break down when presented with the wide array of potential user queries which come with a natural language input.\n\nB)\n\n_Build an AI agent attached to your database which takes in natural language and dynamically generates queries based on the input  — then attach the agent to your MCP as a tool._\n\nThis is **hard to build** because you need to handle conversation state, schema introspection, agent observability, multi-tenancy and query safety.\n\n**Luckily, with Inconvo we offer AI data agents as a service so you don’t need to worry about any of that.**\n\nOverall option B outperforms option A in power and flexibility, while eliminating the need for new API endpoints as user input cases grow.\n\n# Our Solution\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/8f7eac8d-448f-4808-b34b-e3c7d0158a4f)\n\nWith Inconvo you can build a powerful AI agent for data analysis on top of your database and make it available to your users in your own app or the AI apps they already use like ChatGPT.\n\n### How it works\n\n1) Connect your existing database\n\n2) Link your existing authentication and set user data permissions scopes\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/9e056431-135c-4066-b637-5f48d58cd1db)\n\n3) Launch a remote authenticated MCP server in a few clicks, which can be linked easily by your users to ChatGPT etc.\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/0a85474a-2589-4033-afab-f8920ed79b61)\n\n### Inconvo handles the Details\n\nWe give you agent traces and logs for out of the box observability\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/33078fb7-d7bf-43ea-9da1-bd7af1651e73)\n\nAnd a semantic layer so you can improve the data agents performance through context engineering without needing to write any extra code.\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/19a1ea68-0999-4876-8cdb-8992d9bce1e7)\n\n\n# Ready to ship MCP servers for your customers?\n\nYou can **try inconvo today for free** by visiting [**https://inconvo.com**](https://inconvo.com) and creating an account.\n\nOr book a call: [**https://inconvo.com/demo**](https://inconvo.com/demo)",
        "url": "https://www.ycombinator.com/launches/Oar-inconvo-build-mcp-servers-for-saas-customers",
        "votes": 10,
        "created_at": "2025-10-09T21:24:28.025Z"
      },
      {
        "id": 93332,
        "title": "Inconvo: AI agents for customer-facing analytics",
        "tagline": "Build ChatGPT-style analytics into your product",
        "body": "# **TL;DR:**\n\nInconvo makes it easy to build and deploy AI analytics agents into your SaaS products, so your customers can quickly interact with their data.\n\n# **Problem**\n\nSaaS products typically offer dashboards and reports, which work for high-level metrics but are clunky for drill-downs and slow for ad-hoc questions. \n\nModern users, shaped by tools like ChatGPT, now expect a similar degree of speed and flexibility when getting insights from their data. \n\nTo meet these expectations, you need to ship an AI analytics agent, but these are painful to develop and manage.\n\n# **Solution**\n\nInconvo is a platform built from the ground up for developers building AI agents for customer-facing analytics.\n\nWe make it simple for agents to access data by connecting to SQL databases.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/a56e965c-a51e-42ad-b63b-a8cdae08d317)\n\nWe provide a semantic model to create a layer that governs data access and defines business logic.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/8f7567c1-2926-4a1d-915d-5fb52444a9a6)\n\nWe support multi tenant databases by scoping the data an agent can see to specific tenants on a conversation basis.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/1ddec989-a3aa-4e3e-b2dd-0cc525fdc80b)\n\nWe offer a chat playground making it easy to test agents offline.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/edfcd6cf-e3b6-4157-9acf-6949259e1f6b)\n\nWe expose a developer-friendly API for easy integration and conversation logs to track user interactions. For observability we show a trace for each agent response, making agent behaviour easily debuggable.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/bd2f2ae8-a30f-4131-bb89-eac30a0a5821)\n\nHere’s a deeper dive demo video for interested developers showing how we create and call an agent via the API in \\~5 minutes.\n\nhttps://youtu.be/4wlZL3XGWTQ\n\n# Ask\n\nIf this problem is one you face, try us out!\n\n[Book a demo](https://inconvo.com/demo) or [Sign up for free](https://auth.inconvo.ai/en/signup).\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/14c14e6a-af3a-4ebf-a99f-79829304ec03)\n\n",
        "url": "https://www.ycombinator.com/launches/OHM-inconvo-ai-agents-for-customer-facing-analytics",
        "votes": 8,
        "created_at": "2025-08-26T14:03:59.256Z"
      },
      {
        "id": 88017,
        "title": "Inconvo: Ask-AI for customer-facing analytics",
        "tagline": "Build an AI-first analytics experience your users will obsess over.",
        "body": "# **TLDR;**\n\nInconvo **makes it easy for developers to add Ask AI for customer-facing analytics** so that users can ask questions on their data in natural language. \n\n[Watch our demo!](https://youtu.be/1kpS48ifOAY)\n\nWith Inconvo, shipping AI-first analytics is easy. Just send a user question to our API, and it will respond with a chart, table, or text.\n\n# **The Problem**\n\n**Ask-AI for customer-facing analytics should deliver on its promise of being intelligent**, capable of answering dynamic user questions and not limited to a set of basic canned prompts.\n\nBut, **building genuinely intelligent Ask-AI for customer-facing analytics is hard.**\n\nYou need…\n\n**An AI Agent** to dynamically retrieve relevant data that:\n\n* Automatically connects to your database.\n* Intelligently queries, joins, filters, and transforms data based on user questions.\n* Responds with answers in human-readable formats (text, chart, table).\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/2afe2960-8150-4296-95e6-9c522ac7381d)\n\n**AI Evaluations** to measure you agent’s performance before and after deployment that:\n\n* Allows you to build a dataset of conversation-answer pairs for evaluation.\n* Assess your agent's ability to answer these evaluation pairs.\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/0dec4f67-821f-46b1-af8a-bad3d9896a5a)\n\n**A Semantic Layer** to ensure accurate data retrieval that:\n\n* Maps user terminology to database field names.\n* Facilitates the creation of computed fields and alternative field labels.\n\n**Data Access Control** to restrict your AI agent’s database access that:\n\n* Allows you to turn off access to whole tables or individual columns.\n* Allows you to set if a table can be queried directly or only joined into.\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/1b92ea04-f968-4ecb-b419-9495ae2b328b)\n\n**Multi-tenancy support to** ensure results are scoped to the requestor’s access that is:\n\n* Configurable on a per-request basis.\n* Defined by you based on your existing data structures.\n\n# **Our Solution**\n\n**Inconvo provides a single API call to power genuinely intelligent Ask AI for customer-facing analytics.**\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/50ba0c22-7d2e-4ff4-bd4f-8ff457adb212)\n\nBehind [this API call](https://inconvo.ai/docs/api-reference/ask), Inconvo handles all the hard problems of Ask AI for customer-facing analytics.\n\n[Inconvo connects to your database](https://inconvo.ai/docs/guides/connect/) to automatically retrieve the right data to answer your users’ questions. Then, you’re in charge of presenting the API responses to your users in a way that fits your design.\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/d9f04fae-8c25-4146-b940-f012a65b890c)\n\n**Inconvo is purpose-built to overcome the challenges of Ask-AI for customer-facing analytics**, providing tools that handle multi-tenancy, database access control, [AI evaluation](https://inconvo.ai/docs/guides/evaluate/), and a semantic layer.\n\n# **Our Asks**\n\n**Share** - talk to your friends and colleagues about Inconvo.\n\n**Connect** - ping [eoghan@inconvo.ai](mailto:eoghan@inconvo.ai) if you want to chat more or make an intro.\n\n**Engage** - [book a demo call](https://inconvo.ai/request-demo).",
        "url": "https://www.ycombinator.com/launches/Mtd-inconvo-ask-ai-for-customer-facing-analytics",
        "votes": 39,
        "created_at": "2025-02-25T17:26:15.958Z"
      }
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    "id": 29104,
    "name": "Shadeform",
    "slug": "shadeform",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a846e62f95a076c15722c84a203afd1fccb34a5.png",
    "website": "https://www.shadeform.ai/",
    "all_locations": "",
    "long_description": "Teams struggling with GPU availability use our platform to unlock capacity immediately for their growing AI workloads. Shadeform has a unified, easy-to-use API and platform to access and provision GPUs and deploy models for inference to any provider. With our aggregated availability and pricing data, we can help ensure your on-demand inference and training jobs will run on time at optimal cost.",
    "one_liner": "The GPU Cloud Marketplace",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689812081,
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    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/shadeform",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/shadeform.json",
    "year_founded": 2023,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/shadeformai/",
    "x_url": "https://twitter.com/shadeformai",
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    "github_url": "https://github.com/shadeform",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 1212177,
        "full_name": "Ed Goode",
        "title": "Founder",
        "founder_bio": "CEO @ Shadeform. SWE with experience building distributed systems, compute orchestrators, and NLU & NLP services. Building a single control plane for the GPU market.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ed-goode",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fcb96378f379623f478f11ea6d2f3be3b3c68990.jpg"
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      {
        "user_id": 430762,
        "full_name": "Ronald Ding",
        "title": "Founder",
        "founder_bio": "CTO @ Shadeform. Former engineer and TL at Robinhood, AWS, and Microsoft working on large scale, distributed infrastructure.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ronaldding",
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    "jobs": [
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        "title": "Founding Sales",
        "url": "https://www.ycombinator.com/companies/shadeform/jobs/ZBDwwU6-founding-sales",
        "location": "San Francisco, CA, US / Remote (US)",
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        "location": "San Francisco, CA, US / Remote (US)",
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        "id": 73251,
        "title": "Shadeform: Unifying ML infra across clouds - solving for the GPU shortage",
        "tagline": "When companies need GPUs, they use Shadeform to access and deploy their workloads to any GPU provider with our unified compute platform and APIs.",
        "body": "**TLDR:** Teams struggling with GPU availability use Shadeform to **unlock capacity immediately for their growing AI workloads**. Shadeform has a unified, easy-to-use API and platform to access and deploy GPU workloads to any provider. With our aggregated availability and pricing data, we can guarantee inference and training jobs will run on time at optimal cost.\n\n## **The Team**:\n\nWe are Ronald, Ed, and Zach (pictured in order)! We have built and operated critical cloud infrastructure services at AWS and Azure and know the pain of infra management as customers at Robinhood and Capital One. Our goal is to make multi-cloud ML infra simple and easy to use.\n\n![uploaded image](/media/?type=post&id=73251&key=user_uploads/1212177/989a4bdc-3ed1-4937-a76b-9e7f41496b3d)\n\n## **The Problem**: GPU Cloud Availability Shortage\n\n* **Explosion in ML training and inference** demands has resulted in massive GPU shortages; it's difficult and expensive to get GPUs on AWS, GCP, and Azure\n* **Smaller cloud providers are coming online** but have unstable capacity, disparate interfaces, and non-standard OS images preventing companies from adopting at scale\n\n## **The Solution**: Unified Platform for All GPU Providers\n\nShadeform allows you to deploy your inference and training jobs to any cloud provider. We have aggregated all providers, so you can launch your workloads anywhere with our platform and generalized APIs.\\\nWith Shadeform you can:\n\n* Manage GPU instances on every provider with a single control plane\n* Receive notifications, view pricing, and configure auto-reservations when the machines you need are available\n* One click deploy and SSH into machines with any provider\n* Use a unified, simple API\n\n### Deploy Anywhere\n\n![uploaded image](/media/?type=post&id=73251&key=user_uploads/1212177/d4dcc424-a5d6-4583-a5c4-b0d83aa51d71)\n\n### Notify and Auto-Reserve\n\n![uploaded image](/media/?type=post&id=73251&key=user_uploads/1212177/771abd62-79ff-477f-8f69-edd5da8ce8ed)\n\n## **The Goal**: Unify ML Infra Across Clouds\n\nWe are building towards a future where teams are never blocked by their current provider’s GPU capacity and features.\n\n## **The Ask**: Reach out today to access our platform: <https://shadeform.ai>\n\nWe’d love to integrate you with all GPU providers and provide you access to the machines you need, when you need them! Contact us at [founders@shadeform.ai](mailto:founders@shadeform.ai).",
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        "votes": 92,
        "created_at": "2023-07-20T02:31:18.973Z"
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    "name": "FlowiseAI",
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    "website": "https://flowiseai.com",
    "all_locations": "Remote",
    "long_description": "Flowise uses low-code approach that enable developers to manage the whole lifecycle of building LLMs apps in production. From protoyping, evaluation, to iterations.",
    "one_liner": "Open source GenAI development platform",
    "team_size": 5,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1688552847,
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    "status": "Acquired",
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    "stage": "Early",
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        "answer": "Back in Feb 2023, we've been building apps using open source frameworks like LangChain, HuggingFace, etc.We wanted a quicker way to build prototype without having to write repetitive code. We also want a better visualization of the whole LLM flow.Hence, the idea of Flowise was born."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Recent advancement of large language models like ChatGPT is revolutionizing every industry. But how do people from less tech-savvy background be able to learn it, and use it for their own use cases?This is why we made Flowise just like LEGO[🧩](https://emojipedia.org/puzzle-piece/). Flowise let you connect different components like PDF loader, OpenAI Embeddings, Pinecone vector database and build your own ChatGPT on your own documents, without any code. You learn at the same time as you build!"
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    "url": "https://www.ycombinator.com/companies/flowiseai",
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        "full_name": "Henry Heng",
        "title": "Founder",
        "founder_bio": "Cofounder of Flowise. Ex-software engineer @FidelityInvestment",
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        "linkedin_url": "https://linkedin.com/in/zhenjing-heng-henry",
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        "full_name": "Chung Yau Ong",
        "title": "Founder",
        "founder_bio": "Cofounder of Flowise.",
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        "linkedin_url": "https://linkedin.com/in/chung-yau-ong-1407701a9",
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    "news": [
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        "url": "https://www.benchcouncil.org/evaluation/opencs/annual.html#Achievements",
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      },
      {
        "title": "Top trending early-stage open-source startups by GitHub star growth in Q3 2023 - Runa Capital",
        "url": "https://runacap.com/ross-index/q3-23/",
        "date": "Nov 01, 2023"
      },
      {
        "title": "GenOs Index - The June Edition: 5 Emerging Trends among Generative AI Open Source Projects - Decibel",
        "url": "https://www.decibel.vc/articles/genos-index-the-june-edition-5-emerging-trends-among-generative-ai-open-source-projects",
        "date": "Jun 14, 2023"
      }
    ],
    "launches": [
      {
        "id": 90360,
        "title": "Flowise 3.0 - Build AI Agents, Visually",
        "tagline": "Build any agentic system from just an idea",
        "body": "# Flowise 3.0\n\nhttps://youtu.be/-h4WQuzRHhI\n\nFor the first time, anyone can build AI agents from just an idea. Simply describe what you want to create, and a draft will be generated for you.\n\nFlowise provides modular building blocks for you to build any agentic systems, from simple compositional workflows to autonomous agents. Some common patterns are:\n\n* Chaining\n* Routing\n* Parallelization\n* Hierarchy\n* Looping\n* Iteration\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/68095851-704f-4f14-b1cf-dfcfc56b4009)\n\nEach LLM/Agent has the following augmentations to enable flexible multi agents architecture:\n\n* Memory\n* Retrieval(RAG)\n* Tool\n* Centralized State\n* Structured Output\n\n🙋‍♂️ **Human in the Loop**:\n\nThis is a core aspect of an agentic system, allowing humans to review tasks performed by agents, or to approve/reject tool calls by agents. For example, reviewing actions before sending an email or booking an appointment.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/a08091a2-93cb-493f-858e-a851bcd3d12d)\n\n📝 **Form Input**:\n\nIn addition to the standard chat interface, workflows can also be triggered through a form-based interface. This is ideal for workflows that don't require back-and-forth communication between the user and agents.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/bba6f3b4-3d95-4699-bcdc-b6c2485f1fa2)\n\n🔍 **Observability**:\n\nGain full visibility into execution traces to debug issues and optimize performance. You can share traces publicly, allowing others to review, approve, or provide feedback.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/4e8ed542-c2f8-424c-8ef2-0c60c059199a)\n\n✅ **Flow Validation**:\n\nDesigning complex workflows can be challenging. Flow validation helps minimize misconfigurations and human errors by automatically checking for common issues.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/80943e44-97d6-4012-ae6e-407bde108b9d)\n\n# Try it out\n\nEverything is open source, give a star on our [Github](https://github.com/FlowiseAI/Flowise) repo ✨\n\n```\n$npm install -g flowise\n$npx flowise start\n```\n\nOr try it out for free on [Flowise Cloud](https://cloud.flowiseai.com) ☁️\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/f366ab3a-a6c9-47ba-807c-bf94d8122e76)\n\nFlowise is used by Fortune 500 companies such as Thermo Fisher, Deloitte, Accenture, AWS, and many others. We are continuously pushing the frontier of generative AI development platform.",
        "url": "https://www.ycombinator.com/launches/NVQ-flowise-3-0-build-ai-agents-visually",
        "votes": 18,
        "created_at": "2025-05-13T18:37:51.183Z"
      },
      {
        "id": 72776,
        "title": "Flowise - Low-code LLM apps builder",
        "tagline": "An open source drag & drop tool to build your customized LLM flow",
        "body": "### **☕️TL;DR**\n\n[**Flowise**](https://flowiseai.com/) **is an open source drag & drop tool to build your customized LLM flow.**\n\n**We provide a visual interface to let you build backends for LLM apps used for QnA, summarization and analysis on your own data.**\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/f29f7b92-9f41-4257-b293-046eb46d9b84)\n\n👋 This is [Henry](https://www.linkedin.com/in/zhenjing-heng-henry/) and [Yau](https://www.linkedin.com/in/chung-yau-ong-1407701a9/), co-founders of Flowise. We’re on a mission to make it easy for people with no-code background to learn and build AI apps.\n\n### **🤔 Problem**\n\nRecent advancement of large language models like ChatGPT is revolutionizing every industry. But how do people from less tech-savvy background be able to learn it, and use it for their own use cases?\n\n### **✨ Solution**\n\nJust like LEGO[🧩](https://emojipedia.org/puzzle-piece/), Flowise let you connect different components like PDF loader, OpenAI Embeddings, Pinecone vector database and build your own ChatGPT on your own documents. You learn as you build!\n\n### **⚙️ How it works**\n\n**Chatflow**\n\nDrag & drop any component to the canvas and interact with it in real-time.\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/064c1f3e-83c2-489f-a115-b7efdd74289f)\n\n**API/Embed**\n\nUse the flow as an API or embed into your application.\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/4c5d5d78-eedd-48b0-91cf-e0c7fa1bac53)\n\n**Tool**\n\nCreate your own tool and let agent automatically use it. For instance, get stock prices and add it to Airtable/Gsheets.\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/558cf99b-b199-48d9-a0fa-d1500a30ec7d)\n\n**Extensible**\n\nFlowise is built to be extensible. Developers can easily customize their integrations by using libraries/frameworks such as LangChain, LlamaIndex, HuggingFace, etc.\n\n### **🙏Ask**\n\n* Star Flowise [Github](https://github.com/FlowiseAI/Flowise) and let us know what you’d like us to build next\n* Follow us on [Twitter](https://twitter.com/FlowiseAI) to keep up with the latest updates\n* Hop into our 2k+ [Discord](https://discord.com/invite/jbaHfsRVBW) community\n* We want to offer cloud-hosted solution, let us know your [thoughts](https://fmhvbn0ukuf.typeform.com/to/Zn6A7fb4)!\n\n[🚩](https://emojipedia.org/triangular-flag/) We just crossed **10k** stars on Github!\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/7719ac4f-6699-4cdf-8d52-9ff7c63a596d)\n\n",
        "url": "https://www.ycombinator.com/launches/Ivo-flowise-low-code-llm-apps-builder",
        "votes": 70,
        "created_at": "2023-07-05T16:02:36.118Z"
      }
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    "id": 29106,
    "name": "Affinity",
    "slug": "affinity",
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    "website": "https://itsaffinity.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Affinity is a compliance training platform designed specifically for regulated industries. We’ve previously built a fintech from inception to a successful exit and are leveraging that experience to solve the learning management needs of regulated tech companies from growth stage to large enterprise banks.\r\n",
    "one_liner": "A compliance training platform built for regulated industries.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1689270808,
    "tags": [
      "Fintech",
      "Workflow Automation",
      "Team Collaboration",
      "Compliance",
      "HR Tech"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/affinity",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/affinity.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/affinity-training",
    "x_url": "",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1371162,
        "full_name": "Faraz Rana",
        "title": "Founder",
        "founder_bio": "Faraz has over 15 of experience as a start-up operator and a legal and compliance professional. Faraz was part of the founding employee team at Bread, a BNPL fintech, where helped build the company from inception to a $450M exit. Previous to Bread, Faraz had been an M&A lawyer, dabbling with start-up ideas in his spare time. \n\nFaraz is based in Brooklyn, NY and enjoys running and playing tennis. \n\n\n\n\n\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/faraz-rana-502874a",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbe9002d693006cda05cf2a4850fc70aa870fd76.jpg"
      },
      {
        "user_id": 599372,
        "full_name": "Peter Greczner",
        "title": "Founder",
        "founder_bio": "Peter is CTO of Affinity. He's been building and working with NYC start-ups for almost 15 years, including companies in AdTech, FinTech, and Crypto. As a founding team member of Bread, a pay-over-time FinTech, he led and built the engineering team to a successful $500M exit. In addition to having fun building startup's, Peter also loves to play basketball, run, try new board games and play outside with his 2 kids.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/peter-greczner-0067086",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4368510ff32f5960f622d60e144b4699b4114834.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 73139,
        "title": "Affinity - The compliance training platform built for regulated industries",
        "tagline": "Seamlessly manage your organizations trainings and compliance needs in one integrated platform.",
        "body": "Hi 👋 , we’re Faraz and Peter and we’re building Affinity!\n\nAffinity is a compliance training platform designed specifically for regulated industries. We’ve previously built Bread - a fintech - from inception to a $450M exit and are leveraging that experience to solve the learning management needs of regulated tech companies from growth stage to large enterprise banks.\n\n### **Problem and Current Market**\n\nWhile scaling Bread, we learned how necessary training is in the fintech industry for all stakeholders both internal (your employees) and external (your vendors and clients), and how glaringly inefficient the process is.\n\nFor example:\n\n* Fintech bank sponsors lack standardized training across portfolio companies;\n* Fintechs themselves train thousands of their business customers using valuable human hours;\n* Compliance and HR teams use sign up sheets and spreadsheets to track internal trainings;\n* Ineffective trainings create bigger problems later on when companies are just starting to scale.\n\nAnd it’s not just fintechs who face these problems, **it’s all regulated industries**.\n\n### **How Affinity Solves This**\n\nWe’ve built:\n\n1. A platform that allows organizations, such as banks, to standardize training across external parties.\n\n   ![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/84a4ee60-ef53-4c9d-be35-655588e56f42)\n\n2. A workflow management tool that allow companies to assign trainings based on internal policy rules.\n\n   ![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/1794b23f-a480-4ce3-a239-5797646ab28b)\n\n3. Relevant, practical content and ways to customize the content.\n\n   ![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/df94140a-c1db-4654-adac-488c98aa1ed3)\n\n4. Data for reporting to regulators and auditors.\n\n   ![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/b751d335-f134-45fa-9201-7f14c9641c6c)\n\n\n_In short: we help regulated companies make compliance training seamless and powerful._\n\n### **The Future (to Affinity and beyond!)**\n\n* A dynamic content creation platform built in.\n* Leveraging AI and LLM’s for interactive learning experiences.\n* The best and most useful trainings available in every vertical and industry.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/093dbfde-47dd-45bf-bce1-7642471e7eb1)\n\nWe have known each other for almost a decade and spent much of that time building out a buy-now, pay-later fintech together called Bread ($450M exit). Faraz led legal and compliance, and Peter led engineering. Through Bread’s growth we’ve learned how important compliance education is for teams to be effective in a regulated space.\n\n### **Asks from the community**\n\n* Introductions to Fintechs and tangential regulated companies (all sizes)\n* Introductions to Banks\n* Introductions to Compliance and HR teams\n* Tell us what you’re not getting from your current learning management systems\n\n### **How can your company use Affinity today?**\n\nWe’re live for fintechs today at: <https://itsaffinity.com>. We are also offering a discount to all YC companies for their first year, and while you can onboard yourself, we’d love to walk you through getting started. So, please reach out to us at [founders@itsaffinity.com](mailto:founders@itsaffinity.com) and we can start working together with your team!",
        "url": "https://www.ycombinator.com/launches/J1f-affinity-the-compliance-training-platform-built-for-regulated-industries",
        "votes": 41,
        "created_at": "2023-07-17T16:58:49.486Z"
      }
    ]
  },
  {
    "id": 29108,
    "name": "Giga",
    "slug": "giga",
    "former_names": [
      "Giga",
      "Giga ML"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8d37a891f8bcff52ba067cc273aab648732435.png",
    "website": "https://giga.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "AI Support Agent for Enterprises.",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689858919,
    "tags": [
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/giga",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/giga.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/giga-ai",
    "x_url": "https://twitter.com/gigaml",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8d37a891f8bcff52ba067cc273aab648732435.png",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1381270,
        "full_name": "Esha Dinne",
        "title": "Founder",
        "founder_bio": "Hi, I'm Esha, I am currently CTO of Giga ML and an IIT Kharagpur CS'23 grad, where I ranked 3rd institute-wide. Before Giga ML, I was a systems engineer intern at Quadeye Securities and led the Math Club at IIT. Off work, I watch anime and read novels.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/esha-manideep-ba112a218",
        "x_url": "https://twitter.com/eshamanideep",
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    "jobs": [
      {
        "id": 76266,
        "title": "Senior Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/giga/jobs/LyWOqTx-senior-technical-recruiter",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiting lead",
        "salary_range": "$150K - $220K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 80630,
        "title": "Software Engineer I / II - San Francisco",
        "url": "https://www.ycombinator.com/companies/giga/jobs/GAVxgkS-software-engineer-i-ii-san-francisco",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
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      {
        "id": 88394,
        "title": "Staff Backend Engineer",
        "url": "https://www.ycombinator.com/companies/giga/jobs/q2UE9JO-staff-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $500K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "Django",
          "Kubernetes",
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      },
      {
        "id": 90083,
        "title": "Head of Product Marketing/Founding Growth Marketing",
        "url": "https://www.ycombinator.com/companies/giga/jobs/6TVJ2wZ-head-of-product-marketing-founding-growth-marketing",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$150K - $325K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91597,
        "title": "HR Generalist / People Operations",
        "url": "https://www.ycombinator.com/companies/giga/jobs/enhDXgk-hr-generalist-people-operations",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $185K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    "news": [
      {
        "title": "Giga: The AI Platform for Enterprise Support",
        "url": "https://www.youtube.com/watch?v=KmdN6OQ_PwE",
        "date": "Nov 06, 2025"
      },
      {
        "title": "Giga raises $61 million to expand enterprise voice AI, starting with DoorDash | Fortune",
        "url": "https://fortune.com/2025/11/05/voice-ai-giga-raise-61-million-customer-service-series-a",
        "date": "Nov 05, 2025"
      },
      {
        "title": "GigaML Raises $3.6M To Help Enterprises Build LLMs As Powerful As GPT4 | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/news-and-trends/gigaml-raises-36m-to-help-enterprises-build-llms-as/464095",
        "date": "Oct 23, 2023"
      }
    ],
    "launches": [
      {
        "id": 74294,
        "title": "Giga ML's X1 Large 32k - The most powerful on-prem deployable model",
        "tagline": "Customized LLMs for Industry-specific needs. On-premise & secure.",
        "body": "We are announcing our first lineup of on-premise LLMs, X1 Large 8k, 32k — pre-trained and fine-tuned versions of llama2 70B, which are outperforming Claude 2 on the MT bench with a score of 8.1 vs 8. (White paper coming soon with performance on all the benchmarks.)\\\n\\\nX1 Large is available for further fine-tuning and pre-training. Try it out [here](https://chat.gigaml.com/) and let us know what you think!\n\n![uploaded image](/media/?type=post&id=74294&key=user_uploads/1381270/388aa2d4-9000-4e2a-97fe-5720c057c9b3)\n\n**The problems today:**\n\n1. **Pre-training:** Existing large language models (LLMs) lack the ability to pre-train on specific text data, hindering their effectiveness in specialized domains like healthcare, legal, and finance.\n2. **Fine-tuning:** The inability to fine-tune LLMs for specific output structures or forms restricts their adaptability in critical areas requiring tailored responses.\n3. **Privacy:** Organizations dealing with sensitive customer data face trust & compliance challenges when using third-party servers like OpenAI and Anthropic.\n\n**X1 Large:**\n\n* **Performance:** Achieves an MT bench score of 8.1, surpassing Claude 2 after fine-tuning and pre-training.\n* **Customization:** Our unique pre-training and fine-tuning capabilities provide unrivaled performance for industry-specific use cases.\n* **Security:** Offers secure on-premise deployment, ensuring data privacy for enterprises.\n* **State of the art RAG:** We’re partnering with [@Mano AI](https://usemano.com) to bring state of art RAG for on-prem deployment on your petabytes of data.\n\n**Our ask:**\n\nTry out out the demo [here](https://chat.gigaml.com/) with your prompt and let us know how it performed! Email us at [founders@gigaml.com](mailto:founders@gigaml.com) if you want fine-tuning and pre-training access in-cloud or on-premise.\n\n**_Coming soon:_**\n\nX1 Large Med: Continuing pre training on Medical data.\n\nX1 Large Law: Continuing pre training on entire law data base of all the countries.",
        "url": "https://www.ycombinator.com/launches/JKI-giga-ml-s-x1-large-32k-the-most-powerful-on-prem-deployable-model",
        "votes": 15,
        "created_at": "2023-08-22T01:51:37.233Z"
      },
      {
        "id": 73286,
        "title": "Giga ML: Secure on-premise LLMs for enterprises",
        "tagline": "We supercharge open-source LLMs to outperform GPT-4 for your use case.",
        "body": "**TL;DR🔖:** Giga ML is a platform to fine-tune and deploy open-source Large Language Models (LLMs) with features such as high-speed inference, secure on-premise deployment, and OpenAI API compatibility. Our platform provides a 70% cost reduction compared to GPT-4 API, 300% faster output delivery, and fine-tuning expertise garnered from 300+ experiments. We're inviting you to compare our fine-tuned model, X1 Chat, with Chat GPT at [**gigaml.co**](http://gigaml.co) and discover the benefits of custom fine-tuned models. Below is a screenshot of a very basic comparison:\n\n![uploaded image](/media/?type=post&id=73286&key=user_uploads/578920/25fd4cab-2c63-4130-8729-003e5110657c)\n\nHi there, we're [**@Esha Manideep Dinne**](https://www.linkedin.com/in/esha-manideep-ba112a218/) and [**@Varun Vummadi**](https://www.linkedin.com/in/varunvummadi/), co-founders of Giga ML! Today, we're excited to introduce our fine-tuning and deployment platform designed specifically for open-source Large Language Models (LLMs).\n\n**The Problem:🔍**\n\nDeploying and experimenting with open-source LLMs, such as the MPT and Llama models, is fraught with challenges. From the difficulty of fine-tuning for optimal performance to navigating intricate hyper parameters, the process is far from straightforward. On top of these technical hurdles, there's also the issue of privacy: data being processed on external servers like OpenAI's can lead to customers slipping through your fingers.\n\n**The Need:💡**\n\nCompanies require a robust and efficient way to fine-tune and deploy their models without compromising on speed, cost, or privacy. They also need to be able to support varying context lengths depending on their use case. Plus, in light of Ben Fishman's recent tech talk where he revealed that fine-tuned models perform better than GPT-4 for some companies, there's a clear demand for effective fine-tuning solutions.\n\n**The Solution:🚀**\n\nEnter Giga ML - the platform designed to take the stress out of fine-tuning and deploying LLMs. We've run over 300 experiments to perfect our process, and here's how we're tackling these issues:\n\n1️⃣ **Fine-tuning**: We've cracked the code to efficient model fine-tuning and are ready to share our expertise with you!\n\n2️⃣ **High-Speed Inference**: Experience faster responses with our solutions that deliver output tokens 300% faster than the GPT-4 API.\n\n3️⃣ **Privacy**: We offer secure on-prem deployments so your fine-tuned data can be processed on-premise, maintaining your clients' trust.\n\n4️⃣ **Cost Savings💰**: Spend 70% less compared to using the GPT-4 API with an 8k prompt. We support 4k, 8k, and 16k context lengths depending on your use case.\n\n5️⃣ **OpenAI API Compatibility**: No need to rewrite your code, our API integrates seamlessly with OpenAI's.\n\n**Our Request:🙏**\n\nWe're asking you to give Giga ML a try. Compare the performance of Chat GPT with our fine-tuned model, X1-Chat, at \\[[**gigaml.co**](http://gigaml.co)\\]. If you're struggling with the cost or privacy issues of GPT-4 or facing challenges with large prompts, we might just be the solution you're looking for! Please Fill this form for access [Google form](https://forms.gle/EnH3V9Z4JDfZuJQt5) \\\n\\\n**The Team:** 🤝\n\n[**@Esha Manideep**](https://www.linkedin.com/in/esha-manideep-ba112a218/) and I met each other in freshman year at IIT Kharagpur, and we just graduated college. I left my PhD offer at Stanford in CS and Esha left his job as a Systems Engineer at a High Frequency Trading Firm to work on Giga.\n\nLooking forward to serving your AI needs,\n\nEsha and Varun",
        "url": "https://www.ycombinator.com/launches/J42-giga-ml-secure-on-premise-llms-for-enterprises",
        "votes": 38,
        "created_at": "2023-07-21T15:08:18.913Z"
      }
    ]
  },
  {
    "id": 29110,
    "name": "AiSDR",
    "slug": "aisdr",
    "former_names": [
      "AI SDR"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c4ee33b19412517e139da731ca8d250eae8eee8.png",
    "website": "https://aisdr.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AiSDR builds Ami, an AI sales agent that helps B2B companies find customers and book meetings.\r\n\r\nGive Ami your website. It researches your business, recommends who to target and why now, and builds an outreach plan. Once you approve, it runs personalized campaigns across email and LinkedIn, follows up, handles replies, and books meetings.\r\n\r\nAmi keeps working after launch. It monitors results, spots problems with targeting or messaging, and recommends changes or applies them within the rules you set. It remembers your decisions and campaign results, so each campaign builds on the last.\r\n\r\nBuilt on lessons from 17,000+ real AiSDR campaigns, Ami gives founders and small teams sales strategy and execution in one place, without having to manage every step themselves.",
    "one_liner": "AI that finds the right buyers and books sales meetings",
    "team_size": 34,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1685885661,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/aisdr",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/aisdr.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aisdrapp/",
    "x_url": "https://x.com/runAISDR",
    "fb_url": "https://www.facebook.com/aisdrapp",
    "cb_url": "https://www.crunchbase.com/organization/aisdr",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c4ee33b19412517e139da731ca8d250eae8eee8.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8eb452f53a4fc3d4d0353ec4197b8153accff844.png"
    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 208580,
        "full_name": "Yuriy Zaremba",
        "title": "Founder/CEO",
        "founder_bio": "2x YC alumni, 1 exit (AXDRAFT acquired by Onit Inc.).\n\nGrew AXDRAFT from $0 to $2M through founder-led sales, managed a $10M ARR business line for the acquiring company.\n\nSkilled crisis management: navigated company through war in Ukraine with uninterrupted business continuity and high ARR growth.\n\nStarted AiSDR in 2023 to automate sales prospecting with generative AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yuriy-zaremba",
        "x_url": "https://twitter.com/YuriyZaremba",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/810f10a93d56372b391fad4f9e7a225659d4226c.jpg"
      },
      {
        "user_id": 217579,
        "full_name": "Oleg Zaremba",
        "title": "Founder",
        "founder_bio": "2x YC alumni, 1 exit (AXDRAFT acquired by Onit Inc.).  \n\nLed the engineering, product and QA teams that built AXDRAFT. Post-acquisition led the cross-product integrations and AI initiatives (3 generative AI products and 1 ML product). \n\nAchieved and maintained security standard (SOC 2 Type 2) for AXDRAFT 3 years in a row including during war times in Ukraine.\n\nStarted AiSDR in 2023 with my brother Yuriy to automate sales prospecting with generative AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/oleg-zaremba",
        "x_url": "https://twitter.com/olzare",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b7e3cb09fde63a25928ed629a1776f59f60315b.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "EXCLUSIVE: Ukrainian-founded startup AiSDR ropes in €2.7M to develop an AI-powered tool designed to replace human SDRs | Silicon Canals",
        "url": "https://siliconcanals.com/news/startups/ukrainian-founded-aisdr-gets-2-7m/",
        "date": "Nov 28, 2023"
      }
    ],
    "launches": [
      {
        "id": 114134,
        "title": "Ami by AiSDR: AI GTM agent that builds your full outbound motion",
        "tagline": "Trained on 3 years of data across 27 industries, 17k+ campaigns and 20k+ booked meetings",
        "body": "Hey YC 👋\n\nYuriy here - founder of AiSDR (YC S23). This is my second YC company. The first (AXDRAFT – YC W19) was acquired by Onit in 2020.\n\nToday we’re launching **Ami**, an AI GTM agent that already knows what good outbound looks like. Ami builds your campaign, and runs it across email and LinkedIn until a meeting’s booked.\n\nWhat makes it different is what happens next. Ami remembers every campaign it’s run for you, spots what isn’t working, fixes it on your say-so, and tells you what to run next.\n\n## TL;DR\n\n* Point Ami at your website and it builds your campaign in 20 minutes against what’s worked across 17,150+ campaigns across 27 industry-specific playbooks. \n* Every decision is driven by data, and Ami pushes back when it thinks your direction is off.\n* Targeting is pain-based. Ami looks for evidence that someone has your problem right now, and validates the timing before sending a message.\n* Ami remembers everything it’s run for you, so Month 3 is better than Month 1.\n* Self-serve for $250/month. No demo required to start.\n* **Try it at** <https://aisdr.com/ai-gtm-agent-ami/>\n\n[Launch video](https://www.youtube.com/watch?v=Z--7OETsjrs)\n\n## The Problem\n\nAI outbound got very good at scaling noise. But it struggled at making sales judgments.\n\nAlmost every AI SDR, ours included, assumed the human would bring the strategy, define the ICP, create the angle, and hit approve. The AI would take it from there and do it all faster than any human.\n\nThis works if you already know what a good campaign looks like. A lot of people buying these tools don’t:\n\n* First-time founders running founder-led sales\n* First sales hires\n* 2-person GTM teams\n\nWorking out which of 42+ possible audiences is worth spending time on and deciding what to say is a skill built over years. \n\nSo we handed that decision back to buyers and called it control. So did everyone else.\n\nWhat came out the other end is thousands of messages and full dashboards, but zero pipeline.\n\nThe missing piece was never speed. It was judgment. And no one had automated it.\n\n## Our Solution – Ami AI\n\nFor 3 years, we built execution: research, writing, sequencing, deliverability, reply handling. And the thing customers kept telling us was still hard was the part we hadn't automated – deciding what campaign to run in the first place, and when to stop and pivot to something else.\n\nThe number that settled it was 80% of our customers were using our campaign generator instead of building campaigns by hand, even though building gave them far more control. \n\nPeople wanted a decision rather than controls.\n\nSo we took what we learned from over 17,150 campaigns run on the platform in the past 3 years, and built the agent that does it. \n\nThat's Ami.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/7df84866-6f8f-476e-8d12-7e12ad99005d)\n\n### Where Ami’s judgment comes from\n\nIn a nutshell, 3 years of running outbound as a company that sells outbound. As of September 2026, this means (adding daily):\n\nCampaigns run - 17,150\n\nEmails sent - 2,546,096\n\nMeetings booked - 19,501\n\nCustomers served - 1,150\n\nIndustries served - 27\n\nEvery one of those campaigns taught Ami something about what lands, in which industry, at what moment. That's the part you can't buy off the shelf, and that’s why this took three years.\n\n**1. Ami builds your campaign from your website, CRM, and industry best practices, against everything we’ve learned:** Give Ami your URL and it reads your site, and share access to your CRM. Ami then runs what it found against your industry and the 17K+ campaigns we’ve done over 3 years, and comes back with the angles and audiences you need. You can argue with Ami: narrow the ICP, push a different angle, or ask why it picked what it did.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/c36e16a8-d236-41be-bb97-8f133a06f758)\n\n**2. Ami targets pains:** Most tools match a profile and hope the timing is right. Ami looks for evidence someone has the problem you solve. There's no fixed database. Describe who you want and Ami finds them, with data verified at the time of the search.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/59022bd3-8755-4def-9ecb-2c47fac6b9ab)\n\n**3. Ami remembers, and it gets better at your sales motions**: This is where Ami’s value compounds. Ami keeps every campaign it’s run for you: angles that landed, segments that went quiet, objections that kept coming up, and things you tried. It tells you what’s breaking and why when performance drops, and it makes fixes once you give the green light. Month 3 is better than Month 1 because Ami has 3 months of your outbound in its head. \n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/031002d5-65f8-4470-91c3-97fc2a0caae7)\n\nAn AI that learns your business and doesn’t need babysitting is what this category’s promised since Day 1 (ours included). It took 3 years, 17K campaigns, and 2.5M emails before we had enough to build it..\n\nYou don’t have to be good at outbound to win with Ami.\n\nThat’s the whole point.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/f47e2f0d-2f4b-4255-b482-98cecdc06982)\n\n### **What it produces**\n\nMedians across our customer case studies:\n\nConnection acceptance (LinkedIn) - 32.42%\n\nResponse rate (email) - 4.92%\n\nPositive response rate (email) - 1.02%\n\nPositive response rate (LinkedIn) - 3.4%\n\nMeeting booked rate - 0.54%\n\nMeetings per 1,000 leads - 6–10\n\n## The team\n\n**Yuriy Zaremba (CEO)**: 2x YC founder. 8+ years in B2B sales. Previously co-founder and CEO of AXDRAFT (W19, acquired by Onit in 2020).\n\nAiSDR’s team of 35 works across the United States, Ukraine, and Poland. 200+ customers. 4.6/5 on G2 across 101 reviews. SOC 2 certified.\n\n## Our ask\n\n* **Try it at** <https://aisdr.com/ai-gtm-agent-ami/>. Solo plan is $250 per month, self-serve, with no demo required. YC companies get 50% discount.\n* **Share the signup link**. Send it to someone who might find it useful since signup is free.\n* **Follow us on LinkedIn.** Share our launch posts.\n* **Tell us what broke for you**. If you’re doing founder-led sales and you bounced off an AI outbound tool, we want to hear where it failed: targeting, messaging, execution. Conversations like this are what built Ami.\n* **Intros**. B2B SaaS founders at 10-200 person companies that want to try AI outreach.",
        "url": "https://www.ycombinator.com/launches/Tgs-ami-by-aisdr-ai-gtm-agent-that-builds-your-full-outbound-motion",
        "votes": 203,
        "created_at": "2026-09-09T13:36:03.590Z"
      },
      {
        "id": 74643,
        "title": "AiSDR - AI that sells",
        "tagline": "Meet AiSDR, software that reaches out and books meetings with prospects for you on auto-pilot",
        "body": "## tl;dr\n\n**AiSDR automates sales prospecting.** Our software uses generative AI to write and send sales emails to prospective customers. Once a prospect engages, AiSDR automatically corresponds with the prospect with the goal of getting a meeting booked. In just 2 months, AiSDR already has 24 customers. The response rate of our sales emails is on par with the industry’s rate for emails written by humans. This is our second time as YC founders after we sold our first company AXDRAFT (W19) to Onit Inc.\n\nIf you want to learn more - [book a demo with us](https://calendly.com/aisdr-intro/demo).\n\n## Problem\n\nDo you want to scale your SDR team without growing your headcount or significantly raising your operating costs? AiSDR will make it easier for your business to stay lean and mean. \n\nIf you’re faced with any of these challenges, AiSDR is the SDR for you:\n\n* Inbound/outbound leads are lost because you can’t answer in <10 minutes\n* You run 1-3 generic email campaigns that don’t convert because you don’t have the time to create personalized campaigns\n* You’re uncomfortable with sending follow-ups because they seem “salesy” or “spammy”\n* You want to scale your email outreach but you don’t have the budget to confidently hire an SDR\n\n![uploaded image](/media/?type=post&id=74643&key=user_uploads/208580/06a07780-7d1c-4c5e-8daf-a0db770f621d)\n\n## Solution\n\n**For a fraction of the cost of a full-time, in-house SDR,** AiSDR will use your leads and personas to (a) create personalized email campaigns for each lead, (b) send personalized follow-ups to leads, and (c) correspond and drive leads to book a meeting with you. \n\nThis will help you scale your outreach without increasing headcount while giving you the freedom to experiment with campaigns before hiring your first full-time SDR.\n\nLong story short, AiSDR is the AI SDR that will grow your pipeline, optimize SDR costs, and give you the freedom to reinvest revenue into growing your business.\n\n## How it works\n\nAiSDR leverages generative AI to create personalized email campaigns at scale using lead data and sales personas. Since AiSDR never needs to sleep, it will respond to and follow up with engaged leads in less than 10 minutes, ensuring that **prospective clients never fall through the cracks** due to lack of time.\n\nAiSDR will also help with developing and fine-tuning personas, cleaning leads, and warming up inboxes so that emails don’t land in spam.\n\n![uploaded image](/media/?type=post&id=74643&key=user_uploads/208580/913f200a-2543-4ab6-8795-ea210803c40c)\n\n## The team\n\nThis is our second time in YC. After our first time taking part (W19), we successfully sold our company AXDRAFT to Onit. Now with 6+ years of founder-led sales under our belt, we’re keen on solving many of the pains and challenges founders experience in sales. Before AXDRAFT, Oleg was a senior software engineer at [Booking.com](http://Booking.com).\n\n![uploaded image](/media/?type=post&id=74643&key=user_uploads/208580/25b698d1-e20d-4461-acd1-84b74bd1e6c8)\n\n## Our quick asks\n\n* [Book a demo](https://calendly.com/aisdr-intro/demo) with us if you want to learn more about AiSDR and use it to scale your outbound outreach or improve your inbound conversion rates.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/aisdrapp/), [Twitter](https://twitter.com/getaisdr), or [Facebook](https://www.facebook.com/aisdrapp). Our inboxes are always open.\n* Refer us to anyone you know who’s on the lookout for a budget-friendly solution to scale their SDR teams.",
        "url": "https://www.ycombinator.com/launches/JPv-aisdr-ai-that-sells",
        "votes": 373,
        "created_at": "2023-09-07T13:59:11.065Z"
      }
    ]
  },
  {
    "id": 29115,
    "name": "Mocha",
    "slug": "mocha",
    "former_names": [
      "action AI",
      "Action AI",
      "Axilla",
      "Axflow",
      "Srcbook"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2e9ab5d9d14600d56cfc241294be2559fffc5f6.png",
    "website": "https://getmocha.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "What if you could build web apps as easily as you make a Figma design or edit a Google Doc?\r\n\r\n\r\nEnter Mocha. We've reimagined app development with a state-of-the-art coding agent that builds for our users.\r\n\r\nWant to launch that app idea? Need to build something for your community? Looking to prototype faster? Start here. We've removed the barriers between idea and execution.\r\n\r\nOur mission is to empower everyone to build for the web, our vision is personal software.\r\n\r\n",
    "one_liner": "Build and publish web apps in minutes. No coding required.",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1690767970,
    "tags": [
      "No-code",
      "Web Development",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/mocha",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/mocha.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/96310770",
    "x_url": "https://twitter.com/buildwithmocha",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/srcbookdev/srcbook",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2e9ab5d9d14600d56cfc241294be2559fffc5f6.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1f3192a68c42ec6ce46753d2035c2f7677266dec.png"
    ],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1399285,
        "full_name": "Nicholas Charriere",
        "title": "Founder",
        "founder_bio": "Currently building Mocha. \n\n\n\nFrench & British, been a developer in the valley for 12 years in smaller & larger startups (Pinterest, Cruise).\nGeneralist but most of my recent experience is in distributed systems, ML platforms and AI systems (agents, harnesses, agent UX).\n\nhttps://nicholascharriere.com",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nicholas-charriere",
        "x_url": "https://twitter.com/nichochar",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/158068b1cc71592e72d530ace07bd358ca420202.jpg"
      },
      {
        "user_id": 1448621,
        "full_name": "Ben Reinhart",
        "title": "Founder",
        "founder_bio": "Software engineer and entrepreneur. Previously ML infra at Cruise, cofounder at Fam (acquihired by Nextdoor), and Groupon.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bereinhart",
        "x_url": "https://twitter.com/benjreinhart",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/431f4c4da27f11fb396f174e32f93b73d8d572de.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Show HN: Srcbook – A TypeScript notebook for rapid prototyping | Hacker News",
        "url": "https://news.ycombinator.com/item?id=41291700",
        "date": "Aug 20, 2024"
      }
    ],
    "launches": [
      {
        "id": 83310,
        "title": "Srcbook: TypeScript notebooks",
        "tagline": "Meet Srcbook, the best way to prototype in TypeScript!",
        "body": "**TLDR**: We recently launched a new open-source application for prototyping in TypeScript: [**Srcbook**](https://srcbook.com/) (pronounced “source-book”). Srcbook is a notebook-style programming environment and the best way to prototype code, explore libraries, learn concepts, and rapidly iterate on your ideas with TypeScript. It runs locally, has powerful AI features, and exports to markdown for maximum portability.\n\n[**https://www.loom.com/share/f0ea7257d9c544848f4128cf0ccba8ae?sid=d5a51920-8c37-4b10-90ee-414170dfeb5d**](https://www.loom.com/share/f0ea7257d9c544848f4128cf0ccba8ae?sid=d5a51920-8c37-4b10-90ee-414170dfeb5d)\n\n### Origin story\n\nWe are very bullish on AI moving from being a Python discipline in the ML era to a TypeScript discipline in the Generative AI era. We previously tried building multiple products to serve this new TypeScript-AI wave, but we quickly realized that most teams don’t want low-code GUI tools to do evals or build agents with drag-and-drop. What they actually want is to write code but do so with rapid iterations. In Python, they automatically reach out to Jupyter for such workflows, but in TypeScript? We found that there was a large gap… We realized that a TypeScript notebook would be useful for many use cases, not just applied gen-AI, and so we started building.\n\n### The product\n\nSrcbook is a beautiful, open-source, local-first application to write and iterate on TypeScript code. It’s available today on npm: `npx srcbook start`\n\n![uploaded image](/media/?type=post&id=83310&key=user_uploads/1399285/1af6e324-e52a-4d49-8e35-27af1b5dd4b5)\n\nSome key features:\n\n* Full npm ecosystem access\n* AI-assisted coding (OpenAI, Anthropic, or local models), with notebook-specific advantages and a natural “pair-programmer” UX\n* Exports to valid markdown for easy sharing and version control\n\nWe recently [launched on HN](https://news.ycombinator.com/item?id=41291700) and devs really seem to like it, all our graphs started looking like this!\n\n![uploaded image](/media/?type=post&id=83310&key=user_uploads/1399285/a040cd03-a61f-4767-b524-50b285aa9bd3)\n\n### Demo\n\nIn this video, you can see Nick using the genAI features to bootstrap a CLI-based chess game in a few minutes.\n\n<https://www.loom.com/share/a212e1fd49a04c548c09125a96a1836f>\n\n### Asks\n\nTry Srcbook out! It’s free, just `npm srcbook start` in any terminal.\n\nStarring us on [GitHub](https://github.com/srcbookdev/srcbook/tree/main) also helps, although what we really want is for you to build cool stuff with Srcbook. If you make a good Srcbook, send it our way, and we will showcase it in the [Hub](https://hub.srcbook.com).\n\n![uploaded image](/media/?type=post&id=83310&key=user_uploads/1399285/8bab03fa-f71f-43bb-9639-152a83cfb733)\n\nPS: We’re [Ben](https://linkedin.com/in/bereinhart) and [Nick](https://linkedin.com/in/nicholas-charriere), been building together for 5+ years at Cruise and other startups, and we love TypeScript. If you do too, reach out and let’s chat!",
        "url": "https://www.ycombinator.com/launches/Lfi-srcbook-typescript-notebooks",
        "votes": 31,
        "created_at": "2024-08-22T17:06:51.212Z"
      },
      {
        "id": 73588,
        "title": "Axilla — an AI framework for TypeScript",
        "tagline": "Axilla is an end-to-end framework to develop LLM applications for enterprise",
        "body": "**tl;dr** Axilla is a framework for the AI engineer of the future: a product-focused TypeScript developer. Axilla provides a family of modular libraries, which can be incrementally adopted, and together form an **end-to-end opinionated framework for LLM development**.\n\n### The team\n\nHey there 👋, we’re [**@Ben Reinhart**](https://linkedin.com/in/bereinhart) and [**@Nicholas Charriere**](https://linkedin.com/in/nicholas-charriere).\n\n![uploaded image](/media/?type=post&id=73588&key=user_uploads/1399285/8bda8bff-dc8a-4979-9c4b-a73b4c49a5f1)\n\nWe first started working together on ML platforms at Cruise, a leading self-driving car company, where we spent 4 years on the ML platform team. This is also where we became great friends!\n\nAt Cruise, we’ve seen the productivity losses that result from a fragmented ML organization. We then spent years designing and building a standardized framework and personally experienced the productivity superpowers that resulted from the framework’s adoption.\n\n### 🤨 The problem\n\nAn accelerating trend in the AI landscape is the shift from in-house model training to foundational models abstracted away behind APIs (chatGPT, Midjourney, llama2…).\n\nA consequence of this trend is that AI teams are morphing from Python-focused data scientists to resemble typical product engineering teams: full-stack web developers increasingly coding AI applications in TypeScript.\n\nWe’ve spoken to a number of enterprise customers who’ve confirmed their product teams are now responsible for designing and launching new AI initiatives, especially ones involving LLMs. However, given how recent the explosion of LLMs is, **these product engineers don’t yet have the tools** **to ship AI features quickly and with confidence**.\n\n### 💡 The solution\n\n[**Axilla**](https://www.axilla.io/) provides a family of modular and coherent libraries which together form an end-to-end opinionated framework for LLM development. It is aimed at TypeScript developers who want to build and operate production-grade AI applications.\n\nIt’s early, but in the last three weeks we launched our first two modules:\n\n1. [**axgen**](https://github.com/axilla-io/ax/tree/main/packages/axgen) is focused on data ingestion and retrieval\n2. [**axeval**](https://github.com/axilla-io/ax/tree/main/packages/axeval) is focused on continuous evaluation & quality monitoring\n\nNext, we are excited to begin work on model serving and monitoring, which are two of our most critical components. Together, these integrate production data back into the continuous evaluation pipelines, enable enterprises to run open-source models internally, and **allow developers to stop flying blind** when it comes to their AI applications.\n\n### Demo\n\nAs part of our first release, we built a proof of concept that demonstrates how to build a “chat with your documents” application using axgen.\n\n<https://youtu.be/8KEbP7LL_sM>\n\n### Asks\n\n[**Try axilla**](https://github.com/axilla-io/ax) today! It’s open source and available on npm. If you like it, **give it a star** ⭐️, and come join the conversation on [twitter](https://twitter.com/axilla_io).\n\nAre you a product engineer building AI applications (especially with TypeScript)? We’d love to [chat](https://calendly.com/nichochar/15min-chat-with-nicholas)!",
        "url": "https://www.ycombinator.com/launches/J8u-axilla-an-ai-framework-for-typescript",
        "votes": 54,
        "created_at": "2023-07-31T01:48:09.241Z"
      }
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    "id": 29117,
    "name": "Twine",
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    "website": "http://www.usetwine.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Twine helps service businesses turn more leads into booked revenue. We capture every call, text, form, chat, Google, Yelp, and ad lead in one place, then use AI to respond instantly, qualify customers, follow up automatically, book jobs, and show which channels are actually making money.",
    "one_liner": "ai revenue engine for service businesses",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1692063402,
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/twinelabs/",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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      {
        "user_id": 406208,
        "full_name": "Anand Valavalkar",
        "title": "Founder",
        "founder_bio": "Co-founder/CEO @ Twine | Previously UT Austin CS, Superhuman | Founded 6 Figure Networking & Audio/Visual Installation Company in High School",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anand-valavalkar",
        "x_url": "https://twitter.com/anandvalavalkar",
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      },
      {
        "user_id": 1363513,
        "full_name": "Omar Imtiaz",
        "title": "Founder",
        "founder_bio": "Omar Imtiaz is the CTO and co-founder of Twine. Helping small, service-based businesses transform missed calls into paying customers. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/omar-ahmed-imtiaz",
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    "launches": [
      {
        "id": 74112,
        "title": "Twine 🪡 AI text conversations for SMBs",
        "tagline": "Turning missed calls into bookings.",
        "body": "**tl;dr**: We make sure small businesses never miss out on potential customers because of missed calls. We use conversational AI to engage customers over text, find out what they need, and book them for a service.\n\n![uploaded image](/media/?type=post&id=74112&key=user_uploads/406208/e4650e95-528b-4a3f-97ed-babcf0965a2f)\n\nWe’re Divyesh, Omar, and Anand, and we’re building [Twine](https://www.usetwine.com/).\n\n# **Problem: Missed Calls = Missed Business** 💸\n\nSmall businesses are missing out on thousands of dollars because they can’t immediately pick up the phone. Customers often work with the company that responds to them the fastest. To solve the problem of missed calls, businesses employ expensive solutions, such as a receptionist or an outsourced answering service.\n\n# **Solution: Missed Calls** ☎️ **→ Immediate AI Text Message Conversations** 💬\n\nIf a business misses a call, Twine texts the customer to find out why they were calling and can get them on their calendar. We integrate with existing VOIP and cell phone services with minimal setup time.\n\n![](https://lh5.googleusercontent.com/qSsWRMEkZekNQrHrrkMPALcUeWoAmQKigcw8cNoskTKe2Ereo8Y96_x_EhzqCBhHqKQCFe5gwC9pmZ7s0JuEgFpXQca_qG2iujVLOQzB_HWxR07-NCXHuR0TvUHhHj3P9_vgCmxSzEzRQIpUhvzJwt0)\n\n_Twine understands natural language and follows up with customers to get details and book services._\n\n### **How we got started**\n\nAnand started a networking & audio/visual company in high school that eventually grew to six figures. He sold phone systems to small businesses and saw the revenue his customers left on the table due to missed calls.\n\n# **The Ask** 👋\n\nDo you know a small business owner that could benefit from Twine? If so, we'd be grateful for an introduction!\n\nQuick blurb to copy and paste:\n\n> Twine uses AI to make sure that businesses like yours never miss out on potential customers when calls go unanswered. Check out their website at [www.usetwine.com](http://www.usetwine.com) or email them at [founders@usetwine.com](mailto:founders@usetwine.com)",
        "url": "https://www.ycombinator.com/launches/JHM-twine-ai-text-conversations-for-smbs",
        "votes": 331,
        "created_at": "2023-08-15T15:30:23.196Z"
      }
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  },
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    "id": 29118,
    "name": "Structured Labs",
    "slug": "structured-labs",
    "former_names": [
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      "Structured Labs",
      "Preswald",
      "Structured Labs",
      "Wadium",
      "Waldium"
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    "website": "https://www.structuredlabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Waldium is an AI-driven platform for researching, writing, and publishing technical knowledge in formats that both humans and AIs can understand. We help developers create technical guides, resources and tutorials — structured, durable knowledge that AIs can learn from, cite, and build upon.",
    "one_liner": "The publishing layer for the agentic internet",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1686619959,
    "tags": [
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      "Search",
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    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
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      "Engineering, Product and Design"
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      "America / Canada",
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    "url": "https://www.ycombinator.com/companies/structured-labs",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/structuredlabs/",
    "x_url": "https://x.com/waldium",
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    "github_url": "https://github.com/StructuredLabs",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "user_id": 1194855,
        "full_name": "Amrutha Gujjar",
        "title": "Founder",
        "founder_bio": "Structured",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/amruthagujjar/",
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        "full_name": "Shivam Singhal",
        "title": "Founder",
        "founder_bio": "data infrastructure",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/shivam-singhal",
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      {
        "id": 83717,
        "title": "📈 Structured - Single source of truth for key business metrics",
        "tagline": "Unify your growth and data teams with consistent metrics, automated documentation, and real-time alerts, all synced directly from your data warehouse and dbt.",
        "body": "### **The Problem: Inconsistent Metrics, Misaligned Decisions**\n\nIn the high-pressure world of growth and revenue, teams live or die by their data. Yet, too often, the very metrics that should guide decisions are inconsistent, poorly documented, or misunderstood across different teams. \n\nImagine this: Your team is preparing for an important strategy meeting. They need to assess the impact of a new onboarding feature on user activation. Marketing has one definition of \"activation,\" product has another, and sales uses a completely different set of metrics. Each team pulls data from the same warehouse – but interprets it differently, leading to conflicting reports and a confused leadership team. The result? This misalignment creates chaos, leading to conflicting reports, wasted resources, and missed revenue. Hours are wasted on reconciling data discrepancies instead of focusing on strategy, and missed opportunities to act on accurate insights.\n\nBut what if you could ensure that every team in your organization was always on the same page, with a single, accurate source of truth for all key metrics? What if your data was automatically documented, changes tracked, and alerts sent out when something significant changes? Enter Structured.\n\n![uploaded image](/media/?type=post&id=83717&key=user_uploads/1194855/8a5a8ddb-49b1-4d41-82f6-12ec24c16154)\n\n### **The Solution: Structured Brings Clarity and Consistency**\n\nStructured is designed to solve this exact problem. By integrating directly with your data warehouse (e.g., Snowflake, BigQuery) and your transformation tools (e.g., dbt), Structured automatically catalogs your data’s metadata and ensures that all metrics are consistently defined and documented across your organization.\n\n1. **Connect Your Data Warehouse and dbt:**\n   * Structured connects directly to your data warehouse—whether it’s Snowflake, BigQuery, Databricks, or Redshift—and integrates with dbt, the tool your data engineers already use to model and transform data.\n   * The moment you connect, Structured starts cataloging your data, tracking every table, column, and transformation automatically.\n2. **Auto-Generated Data Catalog and Documentation:**\n   * Structured automatically generates a comprehensive data catalog, documenting every metric, entity, and relationship. AND—this documentation is instantly synced to Notion, a tool your business teams already know and love.\n   * Now, whether you’re a data engineer or a revops analyst, you can easily access and understand how metrics are defined and where the data comes from. No more guessing, no more miscommunication—just clarity\n3. **Summaries of Changes and Version History:**\n   * Structured tracks every change made to your data models and metrics, automatically generating summaries that are easy to understand, even for non-technical users.\n   * Every change is logged with version history, so you can see exactly how metrics have evolved over time. This means no more confusion over which version of a report to trust—everyone is working from the latest, most accurate data.\n4. **Alerting on Metric Changes:**\n   * Structured’s AI doesn’t just catalog your data—it monitors it over time. If a critical metric changes—say, your churn rate spikes or a key transformation in dbt is modified—Structured sends out alerts to the relevant teams to see what’s up\n   * These alerts are designed to be easily understood by business users so everyone knows what’s happening and why it matters. This means faster, more informed decisions and no surprises in your strategy meetings.\n\n![uploaded image](/media/?type=post&id=83717&key=user_uploads/1194855/aeb49c87-18e9-4860-9bcb-04a54f96569b)\n\n### **ROI: Real Results from Day One**\n\nStructured delivers measurable value by:\n\n* **50% Faster Reporting:** Teams can generate accurate reports in half the time, thanks to consistent, pre-documented metrics that are automatically synced to tools like Notion.\n* **20% Reduction in Data Errors:** Structured reduces the risk of data discrepancies with automated metadata management and version tracking, ensuring that your reports are always based on the most accurate and up-to-date information.\n* **30% Lower Operational Costs:** By automating the documentation and alignment of data, Structured reduces the manual effort required from your data teams, freeing them to focus on more strategic tasks.\n\n![uploaded image](/media/?type=post&id=83717&key=user_uploads/1194855/9751d79d-6c81-46c3-adb8-c9156653f0d6)\n\n### **Get Started Today!**\n\nStructured is here to help your teams make better decisions, faster. Visit [structuredlabs.com](http://structuredlabs.com) or reach out to Amrutha Gujjar: [amrutha@structuredlabs.com](mailto:amrutha@structuredlabs.com) to schedule a demo and see how Structured can help!",
        "url": "https://www.ycombinator.com/launches/LmH-structured-single-source-of-truth-for-key-business-metrics",
        "votes": 125,
        "created_at": "2024-09-03T20:34:12.116Z"
      },
      {
        "id": 73623,
        "title": "⭐ Structured - Semantic layer for reliable business metrics",
        "tagline": "Consistent metrics, trusted data, faster decisions, and clear growth outcomes.",
        "body": "Hello YC! We are Amrutha Gujjar and Shivam Singhal, the founders of Structured.\n\nWe’re excited to introduce **Structured**—a platform that helps businesses easily define, manage, and scale their most critical business metrics using a robust semantic layer.\n\n### **The Problem**\n\nIn today’s data-driven world, businesses are increasingly relying on metrics to guide decision-making. However, we’ve seen countless organizations struggle with the inconsistency and complexity of defining and managing these metrics. Whether it’s “Revenue,” “Customer Acquisition Cost,” or “Churn Rate,” different teams within the same company often use different definitions, leading to misaligned decisions, wasted resources, and a lack of trust in the data.\n\nTraditional BI tools fall short when it comes to ensuring that metrics are computed consistently across an organization. This problem is particularly acute in companies with large, complex datasets stored in cloud data warehouses like Google BigQuery. Maintaining consistency and governance over these metrics typically requires significant manual effort, deep technical expertise, and can lead to errors that compromise decision-making.\n\n### **Scenario**\n\nAs the VP of Data at a rapidly scaling SaaS company, you're responsible for ensuring that the metrics used across the organization are accurate, consistent, and aligned. But despite your best efforts, discrepancies in critical metrics like Customer Acquisition Cost (CAC) and Monthly Recurring Revenue (MRR) continue to create challenges.\n\nFor example, your Marketing team reports a CAC of $130, calculated using data from HubSpot and Salesforce, where they focus on ad spend and campaign costs. They’re eager to demonstrate the efficiency of their campaigns, so they exclude overhead costs to present a leaner figure.\n\nOn the other hand, your Finance team calculates CAC at $210, pulling from NetSuite and incorporating a broader range of costs, including overhead and allocated expenses. Their approach is to capture the full financial impact, ensuring that nothing is overlooked.\n\nMeanwhile, the Product team is responsible for tracking MRR, using data from Stripe. However, they include one-off setup fees in their MRR calculations, inflating the recurring revenue figure. When they report MRR as $1.2 million, you know the true recurring revenue is closer to $1 million when those fees are excluded.\n\nThese conflicting numbers lead to confusion and frustration at the executive level. The CEO asks for the real CAC and MRR to inform key strategic decisions, but the data from different teams doesn’t match up. You find yourself mediating between departments, trying to align definitions, and reconciling these differences. Your data team spends hours pulling reports, adjusting metrics, and validating numbers, just to arrive at a single source of truth.\n\nThis process isn’t just time-consuming; it’s draining your team’s resources and slowing down the decision-making process. The ongoing discrepancies and the manual effort required to resolve them create friction across departments, eroding trust in the data and undermining the confidence of the executive team in making data-driven decisions.\n\n### **The Solution**\n\n**Structured** is a powerful semantic layer that integrates directly with cloud data warehouses like Google BigQuery.\n\n* **Onboarding and Setup**:\n  * Your data team connects Structured to your Google BigQuery warehouse in one-click. \n  * **Define Standard Metrics**: Access a library of pre-built metric templates or create custom metrics tailored to your specific business needs. \n    * _Example_: Using Structured’s library, you define CAC and MRR with input from finance, marketing, and product. Everyone agrees on what costs are included in CAC and how MRR should be calculated.\n    * Structured makes sure that these definitions are consistently applied across your organization.\n\n![uploaded image](/media/?type=post&id=73623&key=user_uploads/1194855/fe1a81fd-f235-4e41-9395-daeefe0b3daa)\n\n* **Governance and Control**:\n  * You assign ownership of these metrics to the finance team, but allow other departments to view and suggest changes. Structured’s version control means every change is tracked, so you can always revert if necessary.\n  * Now, all departments are using the same metrics. When the CEO asks for the latest CAC and MRR, everyone is looking at the same, accurate numbers \n* **Proactive Alerts**: Structured’s AI-driven features monitor your metrics and flag any anomalies. For example, if CAC suddenly spikes, the platform can alert you before it becomes a bigger issue. These insights help you stay ahead of potential problems and make more informed decisions.\n* **Data Request Tickets:** Structured offers an integrated ticketing system to manage data-related requests across your organization. Whether it's a request for a new metric, a data discrepancy, or additional analysis, your team can easily submit, track, and resolve these requests within the platform.\n* **Knowledge Base**: Structured automatically generates documentation as an artifact of setting up and managing metrics. This documentation is a powerful, quick win for your data team, creating a shared reference point that everyone in the organization can trust. This instant clarity translates directly to business impact—empowering your teams to make aligned decisions faster.\n* **ROI**:\n  * Your team saves dozens of hours previously spent reconciling different versions of the same metric. Decisions are made faster and with more confidence.\n  * By making data-driven adjustments to your customer acquisition strategies based on the standardized CAC, your company can focus on reducing the acquisition costs. The clarity around MRR helps optimize pricing strategies, contributing to increase in revenue.\n\n![uploaded image](/media/?type=post&id=73623&key=user_uploads/1194855/333b7409-baed-4975-ac28-e4d7a850ba1c)\n\n### **Why Structured?**\n\nWe founded Structured because we believe that every business, regardless of its size or technical sophistication, should have access to reliable, consistent metrics that drive smarter decisions. We’ve experienced firsthand the frustrations of working with inconsistent data and the impact it can have on business outcomes.\n\nWe realized that the tools available today either require significant technical expertise or fall short in ensuring metric consistency across an organization. Structured was born out of a desire to create a solution that bridges this gap—providing a platform that is both powerful enough for data teams and simple enough for business users. By focusing on the specific challenge of metric consistency, we aim to empower companies to make better, data-driven decisions without the technical overhead.\n\n### **Why Now?**\n\nBusinesses are generating and storing more data than ever before, particularly in cloud-based data warehouses. With this explosion of data comes the challenge of making sense of it—turning raw numbers into meaningful metrics that everyone in the organization can trust and use.\n\nAt the same time, the complexity of data environments is increasing. Companies are dealing with multiple data sources, complex data pipelines, and a growing need to make sure that metrics are not only accurate but also consistent across different departments and teams. Traditional BI tools are struggling to keep up with these demands, and businesses are increasingly looking for solutions that can provide a more streamlined, consistent approach to metric computation.\n\nThe market is ripe for a solution that can simplify the process of managing business metrics, reduce the reliance on specialized technical skills, and allow organizations to unlock the full potential of their data. Structured addresses this need head-on, providing a solution that is both timely and essential for the next generation of data-driven businesses.\n\n### **Try Structured**\n\nIf you’ve ever struggled with inconsistent metrics or if you’re looking for a better way to manage and scale your business analytics, we’d love to connect with you. Check us out at [structuredlabs.com](http://structuredlabs.com) or drop us an email at [amrutha@structuredlabs.com](mailto:amrutha@structuredlabs.com) \n\nLooking forward to your feedback and insights!",
        "url": "https://www.ycombinator.com/launches/J9T-structured-semantic-layer-for-reliable-business-metrics",
        "votes": 157,
        "created_at": "2023-07-31T22:30:34.907Z"
      }
    ]
  },
  {
    "id": 29119,
    "name": "Nowadays",
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    "website": "http://nowadays.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Nowadays is the AI-native platform for corporate meetings and events. Our AI doesn't just assist planners – it does the work. It emails and calls venues, negotiates rates in 22 languages, parses 50-page hotel proposals into clean apples-to-apples comparisons, and surfaces unmanaged meeting spend across your entire org.\r\n\r\nWe work with companies ranging from ones planning one epic company kickoff a year to ones running thousands of meetings through the platform annually. Clients include Google, Airbnb, BlackRock, Anthropic, Pylon, and Mintlify.\r\n\r\nUnlike legacy platforms like Cvent that bolted AI onto decades-old infrastructure, Nowadays was built from the ground up for the AI era.",
    "one_liner": "AI-native platform for corporate meetings and events",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1687830204,
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 1347384,
        "full_name": "Anna Sun",
        "title": "Founder",
        "founder_bio": "CEO at Nowadays. Previously PM & SWE at Datadog, DoorDash, and Amazon. Studied Computer Science and graduated from MIT. ",
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      {
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        "full_name": "Amy Yan",
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        "founder_bio": "COO at Nowadays. Formerly worked in strategy & operations roles at Google, Meta, and McKinsey & Company.",
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    ],
    "jobs": [
      {
        "id": 87719,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/MkqOCPn-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87720,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/hq419qc-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $240K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
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        "title": "Founding Operator",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/3hKed4I-founding-operator",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $130K",
        "equity_range": "0.25% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87949,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/syo6fpn-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87950,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/AYtFC1G-founding-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87952,
        "title": "Founding Product Designer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/hrkGPy8-founding-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.25% - 1.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117421,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/fTcD3v9-forward-deployed-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "Python",
          "React",
          "TypeScript",
          "SQL",
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    ],
    "news": [
      {
        "title": "Turning Event Planning Headaches into AI Innovation With Nowadays' Anna Sun",
        "url": "https://www.rippling.com/blog/founder-spotlight-anna-sun",
        "date": "Mar 11, 2026"
      },
      {
        "title": "\n\tHot 25 Travel Startups for 2026: Nowadays | PhocusWire\n",
        "url": "https://www.phocuswire.com/hot-25-travel-startups-2026-nowadays",
        "date": "Nov 10, 2025"
      },
      {
        "title": "AI Event Planning Tool Nowadays Wins BTS America Innovation Faceoff | Business Travel News",
        "url": "https://www.businesstravelnews.com/Management/AI-Event-Planning-Tool-Nowadays-Wins-BTS-America-Innovation-Faceoff?utm_source=newsletter&utm_medium=email&utm_campaign=eltrdaily&oly_enc_id=7297B1248256H2B",
        "date": "Oct 17, 2025"
      },
      {
        "title": "Mercer Island Women Leading Venture Capital",
        "url": "https://citylifestyle.com/articles/mercer-island-female-vcs-thankful-for-connection",
        "date": "Dec 18, 2024"
      },
      {
        "title": "Nowadays' Founders Share How $2 Million Will Help Further Develop Its AI",
        "url": "https://meetings.skift.com/2024/12/13/nowadays-founders-share-how-2-million-will-help-further-develop-its-ai/",
        "date": "Dec 13, 2024"
      }
    ],
    "launches": [
      {
        "id": 103278,
        "title": "Nowadays AI: AI-Native Platform for Corporate Meetings & Events",
        "tagline": "The AI-native platform that sources venues, negotiates contracts, and runs your entire corporate event, so your team just shows up",
        "body": "Hey everyone!! We're Anna and Amy, sisters, co-founders, and the people who used to manually call 20 hotels for a single offsite.\n\nWe launched Nowadays on YC S23 as an \"AI copilot for event planning.\" Two years later, we want to show you what we actually built :)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/709549e5-8a04-4b5c-8557-76886ff145a0)\n\n# **TL;DR**\n\nNowadays is the AI-native platform for corporate retreats and meetings. Tell us what you need: we handle venue sourcing, contract negotiation, room blocks, attendee logistics, and post-event reconciliation. Fortune 500 teams and fast-growing startups use Nowadays to run offsites they're proud of, without burning out their ops team.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/53908cc7-1f81-4c15-afe7-5e0f11b7ad59)\n\n# **The Problem**\n\nPlanning a corporate offsite is a second job nobody signed up for.\n\nYour EA or ops lead spends weeks cold-emailing hotels, chasing RFPs, deciphering hotel contracts, and manually tracking room blocks in spreadsheets, only to do it all over again next quarter.\n\nThe vendors in this space are slow and expensive. Many of our customers have said the same thing: \"I got paired with a planner worse than myself.\"\n\nThe result: overpriced venues, cancellation penalties nobody caught, and an ops team that's exhausted before the event even starts. And for most enterprises, 65% of meeting spend is completely unmanaged, buried in expense reports, booked by admins outside any system.\n\n# **Our Solution**\n\nNowadays replaces the entire event planning stack with one AI-native platform, backed by a team that actually executes on your behalf. You tell us what you need. We handle the rest. Your team just shows up.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/67abf2bb-7640-4684-9bbf-c2bfb3a85d4a)\n\n## **1. AI-powered venue sourcing**\n\nDescribe your event, dates, headcount, vibe, budget, and we generate a curated shortlist of venues with proposals in 24 hours, not weeks. We have relationships with 400K+ hotels globally and we're a certified IATA travel agency.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/cedeb56d-e591-4eed-a1f6-b75d1eabf9b5)\n\n## **2. Contract negotiation, handled**\n\nWe negotiate directly with venues on your behalf, pushing on room rates, F&amp;B minimums, attrition clauses, and cancellation terms. Our AI knows market rates from thousands of events and pushes back when hotels overcharge. Clients routinely save 20-30% vs. going direct.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/1156b34d-e9b9-4e1d-bc9a-7736a13901a9)\n\n## **3. Exclusive rates**\n\nWe aggregate demand across all our clients to secure rates individual companies can't get on their own.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/592bb426-c3e7-4457-ab13-860504f2fc0e)\n\n## **4. End-to-end logistics**\n\nRoom blocks, cutoff dates, rooming lists, supplier coordination, tracked in one place, managed by us. Nothing falls through the cracks while you're onsite.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/49563edb-1c99-4cc1-afbd-d590b691258f)\n\n## **5. Attendee registration and logistics**\n\nCustom registration forms, dietary needs, t-shirt sizes, room assignments, all in the platform. Your ops lead is not managing 12 spreadsheets.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/302d0f5a-5d1c-4b01-8cdc-32bffe7d01e8)\n\n## **6. Expert support**\n\nEvery client gets a dedicated Nowadays partner who knows your program, your preferences, and your budget. Our AI acts, and when you need a human, we're there.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/2afea73a-7a20-4209-b1b7-e2ded68d6a13)\n\n## **7. Post-event reconciliation**\n\nWe audit the final folio, catch billing errors, and close the loop financially. No more surprise charges two weeks after everyone's home.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/836fcdff-8837-4754-b447-cda95c651c11)\n\n## **Why we're different**\n\nEvery competitor you've heard of bolted AI onto infrastructure built decades ago. We built around AI from day one, which is why a small team can do at scale what legacy platforms need armies of account managers to do.\n\nOur AI calls venues in 22 languages, parses 50-page proposals into clean apples-to-apples comparisons, and routes every meeting through approval workflows, including the small ones EAs used to book on their own.\n\nOne Fortune 500 VP uncovered $18M in previously unmanaged meeting spend just by turning Nowadays on.\n\n# **Use Cases**\n\n* Quarterly offsites: for remote-first teams who need to meet all their new employees\n* Leadership retreats: for executive teams running strategic planning sessions\n* Sales kickoffs: with complex AV, F&amp;B, and multi-day programming needs\n* International group travel: we handle the complexity of multi-country logistics end to end\n\n# **Where We Are Now**\n\nWe work with companies ranging from ones planning one epic kickoff a year to ones running thousands of meetings through the platform annually. Clients include Google, Airbnb, BlackRock, Anthropic, Pylon, and Mintlify.\n\nWe've run retreats from San Diego to Thailand, from 20-person leadership offsites to 500+ person company kickoffs.\n\nWe won both judges' choice and people's choice at Business Travel Show America 2025 and Business Travel Show APAC 2026, the two biggest innovation competitions in corporate travel.\n\n# **Why Now**\n\nCorporate travel spend is back and growing. But the infrastructure for planning events hasn't caught up. Legacy travel companies are slow, opaque, and not built for the modern distributed workforce. We're rebuilding this from scratch with AI at the core and a team that treats every event like it's our own.\n\n# **We're growing!!**\n\nWe're hiring across the board for founding team members, engineers, operators, and account executives who want to work on a problem that's genuinely hard and unsolved, with a really fun team in San Francisco.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/6174eee6-ebce-4c88-8465-b443a7584c55)\n\nSee open roles: [nowadays.ai/careers](https://nowadays.ai/careers)\n\n# **Get started**\n\nBook a call: [meetings-na2.hubspot.com/amy-yan](http://meetings-na2.hubspot.com/amy-yan)\n\nEmail us: [events@nowadays.ai](mailto:events@nowadays.ai)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/ee979b76-ff7a-42cc-99f8-18f3034a7d95)\n\n",
        "url": "https://www.ycombinator.com/launches/Qrm-nowadays-ai-ai-native-platform-for-corporate-meetings-events",
        "votes": 6,
        "created_at": "2026-06-16T13:51:25.690Z"
      },
      {
        "id": 73488,
        "title": "🎉 Nowadays: AI copilot for event planning",
        "tagline": "Take the hassle out of organizing corporate events",
        "body": "Hi everyone! We’re Anna and Amy, sisters and co-founders of [Nowadays](https://www.getnowadays.com/).\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1374367/8abc167e-68ed-4057-ab7a-4f39e5f961ec)\n\n_From left to right:_\n\n[Anna](https://www.linkedin.com/in/annasun19): Software engineer from MIT, with PM & SWE experiences at DoorDash, Amazon, and Datadog. Organized events for 1300+ students as class president at MIT.\n\n[Amy](https://www.linkedin.com/in/amysunyan/): 7+ years in strategy & operations roles at Google, Meta, and McKinsey. Organized events for 2000+ students as class president at Johns Hopkins.\n\n### **🧨 The Problem**\n\nCorporate event planners are bombarded with endless calls and emails while planning events. Stressing over tight schedules, planners are paying for full-time assistants or tools that cost them $100,000+ a year.\n\nWhat if we could transform this time-consuming and expensive process, making it not just simple, but enjoyable and efficient?\n\n### **🙌🏼 The Solution**\n\nMeet [Nowadays](http://getnowadays.com/), the first AI co-pilot for event planning. Recover hours lost to manual, repetitive tasks, and spend time focusing on what really matters.\n\n**Here’s how it works:** Share event details, and we'll automatically reach out to venues and vendors, manage emails and calls, and stay within budget.\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1347384/482a0ef3-b7e2-4569-bd63-3e15548b608d)\n\n_Want a venue with an onsite golf course? Done ✅_\n\n_Activities within walking distance? Booked ✅_\n\n_Keeping your costs under a certain budget? You got it ✅_\n\nBut that’s not all. Our AI doesn't just offer a one-size-fits-all approach. It adapts to unique tastes and needs, providing a truly personalized event planning experience.\n\nWe're not just offering a tool; we're offering a smarter way to celebrate, connect, and create unforgettable moments.\n\n### **👋 Ask: How you can help**\n\n1. Know anyone planning corporate events (e.g. retreats, happy hours, holiday parties)? We’d love to speak to any event planners, office managers, or executive assistants about their day-to-day experiences. Send any leads to [founders@getnowadays.com](mailto:founders@getnowadays.com). 🙏\n2. Follow along on our journey [here](https://www.linkedin.com/company/getnowadays/)!\n\n### Transform the way you plan events with **Nowadays** **🚀**",
        "url": "https://www.ycombinator.com/launches/J7I-nowadays-ai-copilot-for-event-planning",
        "votes": 662,
        "created_at": "2023-07-27T14:15:04.307Z"
      }
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  },
  {
    "id": 29120,
    "name": "Morph",
    "slug": "morph",
    "former_names": [
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      "innkeeper"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dedc5ca68422aae62a4f58f3a0823d0903b71997.png",
    "website": "https://morphllm.com",
    "all_locations": "Columbus, OH, USA",
    "long_description": "Specialized inference, built for agent workloads\r\n\r\nFast Open-Source models: Kimi k3, Deepseek v4 flash, qwen 397b, at 200+ tps\r\nSpecialized models for applying edits, code search, compaction, and model routing",
    "one_liner": "Fast Models Optimized for Coding Agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1686706939,
    "tags": [
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      "Generative AI",
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      "AI"
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    "status": "Active",
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    "year_founded": 2025,
    "city": "Columbus",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/morphllm",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 405977,
        "full_name": "Tejas Bhakta",
        "title": "Founder",
        "founder_bio": "inference thats optimized for agents",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tejas-bhakta",
        "x_url": "https://twitter.com/tejasybhakta",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6f50e938c0f7e3a90a8e68bbcc0f5d615160f77.jpg"
      }
    ],
    "jobs": [
      {
        "id": 81462,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/morph/jobs/PSesvJB-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $140K",
        "equity_range": "0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Growth design"
        ]
      },
      {
        "id": 102427,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/morph/jobs/0Z8vI3K-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$180K - $350K",
        "equity_range": "0.40%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 108269,
        "title": "Kimi K3 on Morph: near-Fable performance at 1/5 the cost",
        "tagline": "Live on OpenRouter and Vercel's AI Gateway",
        "body": "Kimi K3 is now live on Morph.\n\n![uploaded image](/media/?type=post&id=108269&key=user_uploads/405977/9bf53656-3db4-42fe-92a9-48a4a412df40)\n\nMost open-weight models look promising in benchmarks, then fall apart in production: unreliable tool calls, weak long-context performance, or inconsistent outputs.\n\nGLM-5.2 and Kimi K3 are the first two I’ve tested that feel genuinely production-ready.\n\nIn our benchmarks, Kimi K3 approaches Fable-level performance at roughly half the cost of Opus. On Morph, it comes with:\n\n* 1M-token context\n* 90–200 output tokens/sec\n* Tool calling and structured outputs\n* OpenAI- and Anthropic-compatible APIs\n\nWe want to see how it performs on real workloads, not toy demos.\n\nIf you currently run Anthropic or OpenAI models in production, we’ll cover the cost of routing 5% of your production traffic to Kimi K3. Compare quality, latency, and cost against your existing model with minimal integration work.\n\nWe’d love brutally honest feedback: where it works, where it breaks, and what it would take for you to route more traffic to it.\n\nTry it here: <https://docs.morphllm.com/sdk/components/fast-models>\n\nComment or DM me if you want us to fund your production test.\n\n![uploaded image](/media/?type=post&id=108269&key=user_uploads/405977/cd809dfe-c7e5-406f-9707-f7c250c7113a)\n\n",
        "url": "https://www.ycombinator.com/launches/SAH-kimi-k3-on-morph-near-fable-performance-at-1-5-the-cost",
        "votes": 2,
        "created_at": "2026-07-29T06:05:58.276Z"
      },
      {
        "id": 104095,
        "title": "Reflexes API: Catch what agent logs miss",
        "tagline": "Most Agent failures are behavioral. Catch them at scale ",
        "body": "Behavioral observability for AI agents, built and priced to run on millions of production turns.\n\nMost agent failures don’t show up as errors.\n\n![uploaded image](/media/?type=post&id=104095&key=user_uploads/405977/00b2cef4-ce0d-4a93-a145-0209d28eb3a6)\n\n\nThe API returns 200.\\\nThe tool call succeeded.\n\nBut the agent is looping. The user is frustrated. A jailbreak slipped through. The answer technically completed, but the experience failed.\n\nThat is the problem Reflexes solves.\n\nReflexes are fast classifiers that run on every turn of every agent conversation and catch the behavioral signals normal observability misses:\n\n* user frustration\n* infinite loops\n* jailbreak attempts\n* refusals\n* hallucinations\n* task failures\n* policy violations\n* custom signals specific to your product\n\nTraditional observability tells you when software breaks. Reflexes tells you when the agent experience breaks.\n\nThe reason this has not worked before is cost and latency. Frontier-model LLM-as-judge is fine for offline evals, but it is too slow and expensive to run across production traffic.\n\nReflexes are built and priced to run at scale: millions of turns, inline, across 100% of production conversations.\n\nUnder the hood, Reflexes uses a shared backbone with many small heads, so multiple behavioral signals can run on the same conversation without multiplying latency or cost.\n\nYou can use our default reflexes out of the box, or train a custom reflex for the failure modes that matter to your agent.\n\nWe built this after working with production agent teams and seeing the same pattern repeatedly: agents usually fail long before they throw an error.\n\nThey fail in the behavior.\n\nTry Reflexes: <https://www.morphllm.com/products/reflex>",
        "url": "https://www.ycombinator.com/launches/R4x-reflexes-api-catch-what-agent-logs-miss",
        "votes": 5,
        "created_at": "2026-06-27T14:31:15.899Z"
      },
      {
        "id": 98898,
        "title": "FlashCompact: A specialized model for context compaction",
        "tagline": "33k tok/sec context compaction for coding agents",
        "body": "We built **FlashCompact** because context compaction is one of the most broken parts of modern coding agents.\n\nRight now, compaction is:\n\n* slow (often 2+ minutes)\n* lossy (kills useful context)\n* expensive (wastes tokens and steps)\n\nSo people avoid it… and agents degrade over time.\n\n---\n\n![uploaded image](/media/?type=post&id=98898&key=user_uploads/405977/77e4cb4f-c326-4f2b-8602-2aca1e0fa9c3)\n\n\n### What we built\n\nA **specialized model for context compaction**:\n\n* **33,000 tokens/sec throughput**\n* **200k → 50k tokens in \\~1.5s**\n* Designed specifically for agent workflows, not general summarization\n\nCompaction should feel invisible. This actually does.\n\n---\n\n### Why this matters\n\nWe analyzed **200+ real agent sessions** across **40+ top coding agent harnesses**.\n\nThe core insight:\n\n> Most context bloat comes from tool responses, not model generation.\n\nThat means naive summarization fails, because it compresses the wrong things.\n\nFlashCompact:\n\n* removes redundant tool output\n* preserves execution-relevant state\n* reduces context without hurting task performance\n\nResult:\n\n* no performance drop\n* fewer tokens\n* fewer steps\n\n---\n\n### The deeper point\n\nAgents don’t fail because models are weak.\n\nThey fail because their **context degrades over time**.\n\nIf you want agents to:\n\n* run longer\n* take more steps\n* stay coherent across complex tasks\n\nYou need **clean, compressed context**.\n\n<https://docs.morphllm.com/sdk/components/compact>",
        "url": "https://www.ycombinator.com/launches/Pj8-flashcompact-a-specialized-model-for-context-compaction",
        "votes": 6,
        "created_at": "2026-03-18T14:42:28.223Z"
      },
      {
        "id": 98329,
        "title": "WarpGrep v2: Code Search Subagent -> #1 on SWE-Bench Pro",
        "tagline": "Code search limits coding capabiltiies. Moving it out to a specialized model wins.",
        "body": "### WarpGrep v2 is a fast code search subagent that works via parallel tool calls. Runs up to 36 grep/read tool calls in under 5s.\n\n![uploaded image](/media/?type=post&id=98329&key=user_uploads/405977/ba17c624-92ca-4502-8c56-00c22e31ad4e)\n\n### SWE-Bench Pro: WarpGrep v2\n\n#### Scores\n\n* Opus 4.6 → 55.4\n* GPT-5.3 Codex → 56.0\n* MiniMax 2.5 → 55.4\n* Opus 4.6 + WarpGrep → **57.5** (**+2.1**)\n* Codex 5.3 + WarpGrep → **59.1 (+3.1)**\n* MiniMax 2.5 + WarpGrep → **57.6** (**+3.7**)\n\n#### Efficiency\n\nTokens:\n\n* Input tokens: **\\~17% less** (Opus, Codex, MiniMax, etc..)\n* Output tokens: **13% less** (fewer turns)\n\nTurns (MiniMax):\n\n* Avg turns per task: **157 → 135**\n\nRuntime (Opus):\n\n* Opus 4.6: **518s**\n* Opus 4.6 + WarpGrep: **545s**\n* **178s saved** (**12% faster**)\n\nCost (Opus):\n\n* Opus 4.6: **$3.06**\n* Opus 4.6 + WarpGrep: **$2.51**\n* **$0.55 saved** (**15.6% cheaper**)\n\n#### TLDR\n\nWarpGrep v2 raises SWE-Bench Pro scores (**+2.1 Opus**, **+3.7 MiniMax**) while using **\\~17% fewer input tokens**, **13% fewer turns**, running **12% faster**, and costing **15.6% less**. The median WarpGrep codebase search takes 5s end to end compared to 75s for the Claude Code Explore subagent\n\nOn normal usage on production repos these numbers improve across the board \\~40% faster\n\n\\\ninstall it in your favorite coding agent here <https://www.morphllm.com/mcp>\n\nor integrate it into your product here <https://docs.morphllm.com/sdk/components/warp-grep/tool>",
        "url": "https://www.ycombinator.com/launches/PZx-warpgrep-v2-code-search-subagent-1-on-swe-bench-pro",
        "votes": 4,
        "created_at": "2026-03-02T15:39:58.078Z"
      },
      {
        "id": 95846,
        "title": "WarpGrep: A 20x faster subagent to grep for code",
        "tagline": "50% faster than Cognition's SWE-grep - improve Claude Code or Codex via MCP ",
        "body": "**Problem**\\\nCoding agents don’t feel fast because they aren’t.\n\nIn our benchmarks, agents spend **60%+ of their time searching for the right code**, not generating any. They why they do more than you want, and break developer flow.\n\nThe bottleneck isn’t “agent intelligence.”\\\nIt’s **speed, context retrieval** and the **irrelevant code** that gets shoved into the prompt.\n\nMost agent stacks today are basically **sequential grep pipelines**:\n\n1. Ask the model where to look\n2. Call a tool\n3. Read output\n4. Repeat 10–20x\n\nIt’s slow, noisy, and compounds latency every step.\n\nWarpGrep is built to do that dirty job correctly and fast.\n\n**Our Insight**\n\n\\*\\*We value human attention.\\*\\*\\\nYou can’t build responsive coding agents until retrieval is treated as its own learning and inference optimization problem.\\\nWe optimized for a simple goal: keep both the developer and the agent inside the sub-10-second “flow window.” Anything slower and usage collapses.\n\n**What we built**\\\nWarpGrep is an RL-trained retrieval model designed specifically to be used as a tool by a coding agent. It operates under a strict budget:\n\n![uploaded image](/media/?type=post&id=95846&key=user_uploads/405977/cbc2f17d-1ff9-4d7c-bfa1-38d3d36b3ac7)\n\n* Up to eight parallel tool calls per turn (grep, glob, file read, semantic search)\n* A reward function that only cares about two things: did it fetch the correct files and did it hit the correct line ranges.\n\nWarpGrep is an expert at deciding what to grep, and what context is relevant for the task. That’s it. This combination reduces context rot by more than fifty percent in production and eliminates the “forty irrelevant files in your prompt” failure mode.\n\n**Performance**\\\nSWE-Grep runs at around 650 tokens per second on Cerebras.\\\nWarpGrep hits around 900 tokens per second on B200.\\\n\\\nWe worked closely with NVIDIA to optimize WarpGrep. CUDA gives us the stability and customization ability to push non-standard inference workloads for parallel search.\n\n![uploaded image](/media/?type=post&id=95846&key=user_uploads/405977/8e04cd3d-9646-4f25-a0f6-96d2a440471b)\n\n**RL Training**\\\nRL for MOEs is notoriously inefficient, so we built infrastructure to eliminate dead time:\n\n* Dedicated inference and training GPU pools, continuous rollout streaming to the trainer\n* Controlled policy staleness without collapsing effective sample size\n* Partial rollout interruption so slow sequences don’t stall sync\n* In-flight weight updates so vLLM workers ingest new weights mid-generation with only millisecond pauses\n\nThose optimizations delivered a 1.6 to 2.35 times training throughput boost with essentially no sample efficiency loss.\n\n**Why this matters**\\\nEvery company building coding agents is running into the same wall.\\\nOnce your agent touches a large codebase, retrieval dominates latency and derails reasoning.\\\nYou solve it by giving the agent a retrieval system that behaves like a specialist, not a bottleneck.\n\nIf you want an agent that actually performs on large codebases, doesn’t have crippling context rot, and stays within real-time latency, reach out!\n\nhttps://docs.morphllm.com/api-reference/endpoint/mcp\n\nhttps://docs.morphllm.com/sdk/components/warp-grep",
        "url": "https://www.ycombinator.com/launches/Ovu-warpgrep-a-20x-faster-subagent-to-grep-for-code",
        "votes": 17,
        "created_at": "2025-11-28T19:27:09.731Z"
      },
      {
        "id": 90352,
        "title": "Morph: The \"other models\" you need to build coding agents like Cursor",
        "tagline": "Instantly apply AI output into code and files (5000+ tok/sec). Build your own coding agents. ",
        "body": "**TLDR: Morph: the “other models” you need to build the best coding agents like Cursor and Windsurf.**\n\n**Retrieve and rerank code, stuff context, and apply edits to files FAST. Relevant context, fast applies, every time.**\n\n**Morph Apply:** The fastest way to apply updates from Claude, GPT-4o, and others into any file - codebases, docs, etc - 5000+ tok/sec\n\n[Try API for Free →](https://morphllm.com/dashboard)\n\n![uploaded image](/media/?type=post&id=90352&key=user_uploads/405977/887a632b-bd61-4ace-9af5-d6abc166c319)\n\n> Benchmarked on a 9,000 token file, \\~2 seconds\n\n# **The Problem**\n\nThere’s no good way to apply edits that models want to make into files. Outputting the full file again is slow and expensive. Diff/Patch edits are brittle and a poor product experience.\n\nIn a production setting, AI agents need to update thousands of files. What about when you have a 50k token docx to update? Or when you need to be world-class at retrieving relevant info from a 500+ file repo?\n\n# **Solution:**\n\nMorph is the foundational infrastructure for AI Coding Agents that **_work and feel amazing_** _-_ not a quick demo.\n\n**~~Tired~~**~~: Chunked RAG and having Claude re-output full files~~\n\n**Wired**: Syntax-aware embeddings, reranking, and Fast Apply models = the perfect product experience\n\n**Cursor and Windsurf _roughly_ do this:**\n\n1. For a query, search for top-k relevant embeddings.\n2. Re-rank the corresponding content with a re-ranking model → stuff prompt using Claude/Gemini tool calls\n3. Use Claude/Gemini to generate small, focused changes\n4. Use a Fast Apply model to apply those changes back to the original file\n\n**We provide:**\n\n**Morph Apply**: _Fast Apply_ model: Merge updates from GPT-4o, Claude, and others into your files in under 2s (5000+ toks/second) \\\n**Morph Embeddings:** Syntax-aware embeddings, built for code\n\n**Morph Reranking:** Rerank functions/classes or file snippets to stuff your context with only the relevant context - every time.\n\n[Try it Now →](https://morphllm.com/dashboard)\n\n**Morph SDK:** Intelligently watch for file changes + smarter embeddings.\n\n![uploaded image](/media/?type=post&id=90352&key=user_uploads/405977/20ff3242-a426-4ec3-8c62-4e8633a5cc74)\n\n> Morph Fast Apply dropped errors by 8x vs. patch-based edits in our internal IDE and worked on our largest files - **Staff Eng @ Fortune-50**\n\nIf you’re building the Cursor for \\__\\_, or building agents that modify code:\n\nEmail us: [info@morphllm.com](mailto:info@morphllm.com)\n\n[Grab a Time Here](https://calendar.app.google/PW4nayCdGanN9iEKA)\\\nGet Started for Free: https://morphllm.com\n\n[Self Host Morph](https://morphllm.com/blog/self-hosting)",
        "url": "https://www.ycombinator.com/launches/NVI-morph-the-other-models-you-need-to-build-coding-agents-like-cursor",
        "votes": 31,
        "created_at": "2025-05-13T16:56:19.950Z"
      }
    ]
  },
  {
    "id": 29123,
    "name": "Glide",
    "slug": "glide-2",
    "former_names": [
      "WalletKit"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1c76d50e7b1ba3c361d312f4e312c3e5f8f54b3.png",
    "website": "https://buildwithglide.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Glide lets apps accept crypto deposits from any chain, wallet, or exchange using pre-built wallet funding flows. Users can fund wallets directly — no bridges, no swaps, no repeated KYC.",
    "one_liner": "Crypto Deposits, Wallet Funding, and Pay-with-crypto Infra",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1689702823,
    "tags": [
      "Developer Tools",
      "Crypto / Web3",
      "B2B",
      "API",
      "Infrastructure"
    ],
    "tags_highlighted": [
      "Crypto / Web3"
    ],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/glide-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/glide-2.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/paywithglide",
    "x_url": "https://twitter.com/tusharsoni1205",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/usewalletkit",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1c76d50e7b1ba3c361d312f4e312c3e5f8f54b3.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 139706,
        "full_name": "Tushar Soni",
        "title": "Founder",
        "founder_bio": "Co-founder, CEO @ Glide (buildwithglide.com)\n\nPrior to starting Glide, I was a tech lead at Robinhood Crypto building the Robinhood Wallet app. Previously, I worked on large-scale consumer apps such as Uber Eats, Apple Music, and App Store.\n\nI also created and maintain Copper (https://gocopper.dev) - a fullstack toolkit to build web apps in Go.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tusharsoni",
        "x_url": "https://twitter.com/tusharsoni1205",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4eaba884107d19c2cd6d94abab93483bc503a360.jpg"
      },
      {
        "user_id": 1440060,
        "full_name": "Qinyu Tong",
        "title": "Founder",
        "founder_bio": "I'm the co-founder at WalletKit building the best developer platform for web3 consumer app developers. Prior WalletKit, I was at Robinhood Crypto building the Robinhood Wallet. Previously, I worked at LinkedIn on enterprise infra such as Ads API, AI Infra. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tongqinyu",
        "x_url": "https://twitter.com/qtofrivia",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/111d623f397ce92074da29e898a8e59f7e8bd78f.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 73221,
        "title": "WalletKit — Developer platform for building consumer-friendly web3 apps",
        "tagline": "Build web3 apps with wallets, tokens, and NFTs using simple HTTP APIs",
        "body": "**_⏳ TLDR;_** WalletKit is a developer platform, that helps you build decentralized apps without any crypto knowledge. It is best used for building user-friendly consumer apps aimed at mass adoption. Come talk to us if you’re building in this space or if you’re curious about adding decentralized features to your product.\n\nHey everyone! This is [**@Tushar Soni**](https://bookface.ycombinator.com/user/139706) and [**@Qinyu Tong**](https://bookface.ycombinator.com/user/1440060) from [**@WalletKit**](https://bookface.ycombinator.com/company/29123), and we are super excited to tell you what we’ve been working on.\n\n![uploaded image](/media/?type=post&id=73221&key=user_uploads/139706/1b7b6d81-ebee-42dd-a5bf-c926342dc9d6)\n\n---\n\n### **🤔 Problem**\n\nCrypto has gone through several ups and downs in its decade-long history. However, we have yet to build meaningful use cases outside of trading. There are a few reasons that are slowing us down:\n\n1. **Low Adoption**: People find crypto products hard to use, confusing, risky, or scammy. We believe this is because it is incredibly difficult to build trusted brands and high-quality user experiences that everyone has come to expect from the products they use.\n2. **High Complexity**: Blockchain is a collection of really complicated technology and building consumer products directly on top of it will take a lot of expertise and a long time.\\\n   Imagine trying to build a Rewards & Loyalty Program - you have to pick a chain, work with smart contracts, figure out how users will manage their wallets, handle transactions, reorgs, gas management, and so much more. You have to do this while making sure everything is done securely so you and your users don’t lose their digital assets.\n3. **Developer Tooling**: The popular developer platforms are too low-level. They are usually a mirror of Blockchain Node APIs aimed at node operations, not building consumer apps.\n\nOur goal is to elevate the developer experience for building decentralized consumer apps and enable builders to focus on their use case, not blockchain infrastructure.\n\n---\n\n### **🔧 Solution**\n\nWe are rethinking how to build decentralized apps by providing engineers with simple high-level abstractions to create amazing products.\n\nWalletKit wraps popular blockchain building blocks into easy-to-use HTTP APIs. Today, we support building with wallets, tokens, and NFTs.\n\n![uploaded image](/media/?type=post&id=73221&key=user_uploads/139706/77b906df-a7b3-4387-ad5f-43630e739bdf)\n\nWe took it a step further with WalletKit Dashboard - a digital asset management tool for your app-related digital assets. Use WalletKit Dashboard to create wallets, tokens, mint NFTs, make transfers, and interact with user wallets.\n\n![uploaded image](/media/?type=post&id=73221&key=user_uploads/139706/feafd2f1-3d58-493f-bc5e-3ee76bf2f14e)\n\n---\n\n### **👽 Founders**\n\nQinyu and I met at Robinhood, where we led the Web3 team responsible for building Robinhood Wallet. We experienced firsthand the lack of tools and infrastructure needed to build a consumer-friendly product.\n\nIt became clear to us that this gap in infrastructure is holding back the entire community from creating amazing products that have a chance at mass adoption. It acts as a barrier for founders to build decentralized products. WalletKit aims to remove this barrier entirely.\n\n---\n\n### **🤝 Ask & Deal**\n\nConnect us with founders/builders who are building decentralized apps or want to add decentralized features! Feel free to send an intro email to [**tushar@usewalletkit.com**](mailto:tushar@usewalletkit.com). We would love to help out.\n\nFor all YC companies and connections that come through the YC network, we offer a white-glove service and discounted rates :)",
        "url": "https://www.ycombinator.com/launches/J2z-walletkit-developer-platform-for-building-consumer-friendly-web3-apps",
        "votes": 31,
        "created_at": "2023-07-19T15:30:20.915Z"
      }
    ]
  },
  {
    "id": 29124,
    "name": "Onward",
    "slug": "onward",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae5e783591dc54d6ad178b3ce7591e1a0494b4c3.png",
    "website": "",
    "all_locations": "",
    "long_description": "Onward is a new take on conversational intelligence. We streamline follow-ups, CRM updates, ticket creation, and other tasks after every meeting—helping you connect this knowledge to the rest of your tools.",
    "one_liner": "Intelligent meeting automation for ambitious teams.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1690408341,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "Unspecified"
    ],
    "stage": "Early",
    "app_video_public": false,
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        "full_name": "Coleman Oates",
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      {
        "id": 74311,
        "title": "⚡ Onward – Meeting automation for ambitious teams",
        "tagline": "Streamline your meetings + automate your action items, instantly.",
        "body": "👋 Hey everyone - we’re Nikolas and Coleman from [Onward](https://onwardhq.com/?utm_source=yc&utm_campaign=launchyc).\n\n### **🏆 TL;DR:**\n\n[Onward](https://onwardhq.com/?utm_source=yc&utm_campaign=launchyc) is a new take on meeting automation software. We streamline follow-ups, CRM updates, ticket creation, and other tasks after every customer meeting.\n\n✨ [Get in touch](https://onwardso.typeform.com/to/XXZDRCQq) with us, and we'll talk through your current workflows, share insights from high-performing teams, and give you a white-glove onboarding experience.\n\n![uploaded image](/media/?type=post&id=74311&key=user_uploads/585552/b80b26d8-3cbb-49ba-ae2a-7f6d95ecb1f3)\n\n### **🎉 Our Story**\n\n![uploaded image](/media/?type=post&id=74311&key=user_uploads/585552/d2bbd5df-f14e-42f4-8d4a-db0e18892226)\n\nWe're Nikolas and Coleman. We built our first AI automation product together in middle school and have worked alongside each other ever since.\n\nWe started Onward shortly after Nikolas left Midjourney to help teams spend more time on the thing that matters most: supporting their customers.\n\n### **🤔 The Problem**\n\nWe have spent the past couple of years talking with hundreds of sales and support leaders. One thing has become quite clear: face-to-face interaction is the most effective way to acquire and retain customers. However, the time spent in and around meetings has become a bottleneck for organizations.\n\nHere's why:\n\n1. **Every meeting creates more work for us to do**, and less time to do it. In the end, the highest leverage interactions become the hardest to scale.\n2. Today's tools are disconnected from our conversations, meaning **knowledge workers lose around 30% of their day due to meetings and the subsequent work that follows**, such as communication, synthesis, and data entry tasks – often long after the call has happened and the context is fresh.\n\n### **✨ Our Solution**\n\nWe offer a seamless, end-to-end meeting automation platform.\n\n1. **Connect calls with one click.** We integrate with all live communication platforms (Zoom, Meet, Teams, Slack) and import these interactions directly into our platform.\n2. **Instantly synthesize interactions.** We analyze your calls, extract summaries and key moments, and identify action items and commitments, ensuring that nothing is overlooked.\n3. **Enrich and automate action items.** We automate your work by automatically drafting emails 📧, populating CRMs ✨, creating tickets 🔔, tracking commitments ✅, sending event invites 📅, and creating reminders 💬 – all within the context of your interactions.\n\nThis helps teams scale their human touch, allowing them to remain front and center while Onward streamlines the 30% of their day spent on repetitive tasks.\n\n### **🙏 Our Ask**\n\n**Intro us to Revenue leaders:** If you or anyone else in your network spends hours each week in repetitive meetings (such as demos, sales calls, interviews, etc.), we would love to connect. Please make a warm intro to [coleman@onwardhq.com](mailto:coleman@onwardhq.com)!\n\n**Interested in early access?:** [Get in touch](https://onwardso.typeform.com/to/XXZDRCQq), and we'll talk through your current workflows, share best practices from high-performing teams, and give you a white-glove onboarding as early as this week.",
        "url": "https://www.ycombinator.com/launches/JKZ-onward-meeting-automation-for-ambitious-teams",
        "votes": 92,
        "created_at": "2023-08-22T18:04:42.652Z"
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    "name": "truemetrics",
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    "website": "https://www.truemetrics.io/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "truemetrics helps logistics companies to find their customer's faster. By detecting and mapping entrances, we help GLS, a key logistics company in Europe, save 32.7 seconds on each delivery.\r\n\r\nThe way couriers navigate is broken.\r\n\r\n“You Have Arrived At Your Destination!” — or so Google Maps thinks. In reality, the way couriers navigate is broken: No parking, hard-to-find entrances, and labyrinth-like apartment and office complexes can turn the last meters of delivery into a time-consuming puzzle.\r\n\r\ntruemetrics provides parking positions and entrance locations to enable faster drop-offs. Our data is generated by analyzing sensor data from drivers' smartphones, allowing truemetrics to identify precise parking and entrance locations, thereby simplifying the last meters of delivery.\r\n",
    "one_liner": "We show couriers where to park and enter a building.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1688493255,
    "tags": [
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      "Logistics",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
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      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "year_founded": 2021,
    "city": "Berlin",
    "country": "DE",
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        "full_name": "Ingo Boegemann",
        "title": "Founder",
        "founder_bio": "Studied mechanical engineering at the technical university of Hamburg and at UC Berkeley\nWorked in tech consulting for almost 10 years with a focus on supporting classical European tech companies (automotive, aerospace, etc. ) \nFounded my own consulting company which I exited to a competitor in 2020\nStarted working on sensor fusion technologies which are part of truemetrics core tech stack in 2020\nIn my free time I love to the outdoors, especially camping and surfing",
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        "full_name": "Jan Bischof",
        "title": "Founder",
        "founder_bio": "Jan Bischof is a highly skilled and accomplished software engineer with a strong background in artificial intelligence research. With a passion for developing innovative solutions, Jan has a proven track record of designing and implementing cutting-edge algorithms and software systems. He possesses excellent problem-solving abilities and a deep understanding of machine learning techniques, making him a valuable asset in the field of AI and software development. ",
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        "title": "GTM Founder's Associate",
        "url": "https://www.ycombinator.com/companies/truemetrics/jobs/THLEzXI-gtm-founder-s-associate",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€50K - €60K EUR",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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        "title": "truemetrics - helping logistics companies deliver to their customer’s doorstep",
        "tagline": "truemetrics provides logistics companies with precise delivery coordinates to guide couriers to their customer's doorstep.",
        "body": "### **_TL;DR_**\n\ntruemetrics provides logistics companies with precise delivery coordinates to guide couriers to their customer's doorstep. Our tech enables GLS, one of Europe’s biggest logistics companies, to speed up their deliveries by 2-10 minutes.\\\n\\\nHi! We are Ingo, Jan, and David and we believe that **the way how couriers navigate is broken.**\n\n![uploaded image](/media/?type=post&id=74016&key=user_uploads/1295475/c9886fc5-f687-4973-b936-d2a54ddae884)\n\n“You Have Arrived At Your Destination!” — or so Google Maps thinks. In reality, the way couriers navigate is broken: No parking, hard-to-find entrances, and labyrinth-like apartment and office complexes can turn the last meters of delivery into a time-consuming puzzle.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=74016&key=user_uploads/1295475/58631705-41f1-4a39-8f74-075582b6bdcb)\n\n\n[truemetrics](https://truemetrics-26059762.hs-sites-eu1.com/en/product-presentation) provides parking positions and entrance locations to enable faster deliveries. Our data is generated by analyzing sensor data from drivers' smartphones, allowing truemetrics to identify precise parking and entrance locations, thereby simplifying the last meters of delivery.\n\n### **Team**\n\nDuring his management of Wolt's operations in three of Germany's four regions, David often faced challenges with inefficiencies in the last 50 meters of delivery. Together with Jan and Ingo, he started truemetrics to overcome these problems. Ingo contributes 10 years of engineering and entrepreneurial experience, along with a successful exit. Jan Bischof holds a PhD in Control Theory and has developed software and AI solutions for nearly a decade.\n\n### **Ask: How you can help**\n\n* [Please connect us with COOs and CTOs from your network!](https://mailto:david@truemetrics.io)\n* We would be happy to hear your feedback! [Discover the biggest address fuck-ups](https://www.demonstrator.truemetrics.cloud/map) and share with us [your favourite navigation mishaps](https://forms.gle/ugDzhR6YTWfMdWaM9).",
        "url": "https://www.ycombinator.com/launches/JFo-truemetrics-helping-logistics-companies-deliver-to-their-customer-s-doorstep",
        "votes": 27,
        "created_at": "2023-08-10T21:49:21.358Z"
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    "name": "Autotab",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Autotab is a drop-in AI knowledge worker that uses a mouse and keyboard like you—so anything you can do, it can do. Show it how to perform your task, train it to be hallucination-proof by adding examples and providing feedback, and then run it on demand or on a schedule—either locally or in the cloud.\r\n \r\n\r\nIt achieves superhuman reliability, and can scale up on demand so your team doesn’t have to.\r\n \r\n\r\nAutotab is already handling complex tasks thousands of steps long, from messaging customers to triggering payments and updating data across core systems of record like Salesforce, HubSpot, Google Sheets, and Jira.\r\n\r\n \r\nDownload the beta version of the app and get started right away, or sign up for a personalized onboarding: https://www.autotab.com",
    "one_liner": "AI agents reliable enough to do real work",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1689696182,
    "tags": [
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      "Enterprise",
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    "batch": "Summer 2023",
    "status": "Acquired",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/autotab",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/autotab.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/autotab-ai",
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    "github_url": "https://github.com/orgs/Planetary-Computers/repositories",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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        "user_id": 414353,
        "full_name": "Jonas Nelle",
        "title": "Founder",
        "founder_bio": "Born and raised in Berlin. BA in Rationality from Harvard (convinced them to let me create a new major). Built data-driven applications at Palantir and Taktile (YC S20). Started and sold the first oracle for zero-knowledge rollups on Ethereum.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jonas-nelle",
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      {
        "id": 91808,
        "title": "Autotab: The first AI agent you onboard, not integrate",
        "tagline": "Infinitely scalable remote workers that you onboard via a simple screen recording",
        "body": "tl;dr: You can now teach AI to do your work by simply recording a short video explaining the task. Once trained, you can run an entire fleet of parallel instances to complete weeks of work in a few hours.\n\nDownload the app and put Autotab to work—no sales call or credit card required to get started: [https://www.autotab.com](https://www.autotab.com/)\n\n### \n\nhttps://youtu.be/JTniG6K30UU\n\n### Problem\n\nToday’s models have the intelligence required for most work—but they are bottlenecked by context, tools, and their ability to operate over long time horizons.\n\n### Context: Teaching, not prompting\n\nAutotab learns like a human colleague–by watching demonstrations, reading SOPs, and taking feedback on its past work.\n\nReal work is rarely zero-shot, so Autotab is designed to ask clarifying questions as it is learning, and to be good at taking feedback.\n\n### Tools: UI-first control\n\nAutotab interacts directly with existing applications and internal tools using a mouse and keyboard—no technical integration required.\n\n### Long tasks\n\nAutotab is able to work for days at a time, using scaffolding and checkpoints to stay on track, just like an SOP.\n\n### Superpowers: Better than human\n\nOnboarding Autotab is designed to feel like onboarding a remote human worker, but running Autotab is an entirely different experience.\n\nFor sensitive tasks, Autotab can be run in a dedicated local browser with support for enterprise authentication and SSO—credentials never leave your device.\n\nAutotab can also be run at scale in the cloud, with an entire fleet of parallel instances working together to complete weeks of work in a few hours.\n\n### Accessible to everyone\n\nFor the past 6 months, we’ve helped companies like DoorDash scale work that previously required humans, running years worth of continuous computer use.\n\nNow, you can download the app and put Autotab to work—no sales call or credit card required to get started.\n\n### Use cases\n\nIf you’re looking for some inspiration for how to use AI agents like Autotab, here are a few examples of common tasks others are using Autotab for.\n\n* Collecting and enriching data: For example finding the payment options offered by e-commerce websites, or researching the technology vendors used by local businesses.\n* Filling out forms: For example government forms to request documents, or forms to request quotes from businesses such as insurance carriers.\n* Taking action: For example updating leads in a CRM, processing customer support tickets or sending messages to leads.",
        "url": "https://www.ycombinator.com/launches/Nsm-autotab-the-first-ai-agent-you-onboard-not-integrate",
        "votes": 9,
        "created_at": "2025-07-02T18:51:11.029Z"
      },
      {
        "id": 84840,
        "title": "Autotab: AI agents reliable enough to do real work",
        "tagline": "Not a chatbot: Autotab handles repetitive tasks end to end using a keyboard and mouse, with human-level reliability.",
        "body": "# TLDR\n\nAutotab is a drop-in AI knowledge worker that uses a mouse and keyboard like you—so anything you can do, it can do. It achieves superhuman reliability, and can scale up on demand so your team doesn’t have to.\n\nAutotab is already handling complex tasks thousands of steps long, from messaging customers to triggering payments and updating data across core systems of record like Salesforce, HubSpot, Google Sheets, and Jira.\n\n### Open beta launch\n\nStarting today you can download the beta version of the [app](https://www.autotab.com/) and get started right away. Or sign up for a [personalized onboarding](https://www.autotab.com/request).\n\n![uploaded image](/media/?type=post&id=84840&key=user_uploads/414353/c701bf1e-2f28-4bb2-ac4b-779b02be0a8b)\n\n### Autotab is built for real work\n\n“We were promised digital robots, and all we got was tab complete.”\n\nSo far, AI agents have not been reliable enough to do meaningful work without supervision.\n\nAutotab is the first system for building extremely reliable agents that can execute any repetitive task fully autonomously. Show it how to perform your task, train it to be hallucination-proof by adding examples and providing feedback, and then run it on demand or on a schedule—either locally or in the cloud.\n\n### Hallucination Proof\n\nReal work is hard. To push the frontiers of autonomy, we have developed multiple systems that work together to achieve the improbable.\n\n1. **Digital Robot**: For AI to do real work, it needs to be able to use a computer. Autotab is driven by more than 16 unique models, from fast on-device models to vision-based robotics and the largest frontier models in the world.\n2. **Demonstration Learning**: Telling an AI to book flights for you is a cool demo, but real work is nuanced and difficult to explain in a prompt. You teach Autotab by _showing_ it how to do your task the same way you would a human colleague. This means Autotab has 100-1000X more data than prior approaches, providing the deep context required for full autonomy.\n3. **Action Scaffold**: Each task that Autotab learns is composed of a series of steps and sub-goals. This makes it easy to understand what Autotab is doing and gives you fine-grained control.\n4. **Memory**: As it runs, Autotab prompts you for feedback and provides opportunities to steer its behavior. These learnings are accumulated into action memory—improving Autotab’s world model and allowing it to work autonomously with extremely high reliability for hours on end.\n5. **Bare Metal Control**: Autotab uses a custom browser for secure, bare metal task execution—locally and in the cloud. This also lets us avoid most bot detection.\n\nThe result is an AI system that learns and works like a human colleague. It uses a browser, so it can handle any repetitive task you can—there is no list of integrations, just teach it to use whichever apps you want. It asks for clarification when it is uncertain, and you can correct it if it gets something wrong.\n\n### Case studies\n\nHere are a few specific examples of how customers have been using Autotab to get more done:\n\n* A fast-growing startup saves 10+ hours of their team’s time each week using Autotab to find customers at risk of churning in an internal product analytics tool and then has Autotab reach out to them with personalized emails.\n* One customer uses Autotab to handle dozens of support tickets every day, such as updating vendor permissions and assigning training tasks to new employees across different applications.\n* Another customer has trained Autotab to gather research data across different sources, which used to take their employees hours of time to do every week.\n\n### Get started today\n\nYou can download the beta version of the [app](https://www.autotab.com/) and get started right away or sign up for a [personalized onboarding](https://www.autotab.com/request).",
        "url": "https://www.ycombinator.com/launches/M4O-autotab-ai-agents-reliable-enough-to-do-real-work",
        "votes": 23,
        "created_at": "2024-10-17T22:07:57.122Z"
      },
      {
        "id": 79917,
        "title": "Autotab: Digital robot to do your repetitive work",
        "tagline": "Autotab can run thousands of steps with 98%+ reliability, 24/7/365 (no lunch breaks needed)",
        "body": "**TLDR**: Hire Autotab to do your repetitive work for you, starting at just $1/hour. Autotab is a digital robot that learns like a human—just demonstrate how to perform the task once.\n\nToday, Autotab reliably handles complex tasks with 1000s of steps, saving users hours each day. **Sign up **[**here**](https://78348iv5tyv.typeform.com/to/PFjNcLqW?utm_source=launchyc&utm_campaign=launchyc)** to request early access to Autotab!**\n\n![uploaded image](/media/?type=post&id=79917&key=user_uploads/414353/b923cf51-551f-4232-94c4-f84fc951252c)\n\n### Problem\n\n“I love clicking and typing the same things over and over again,” said no one ever.\n\nNobody likes repetitive work, clicking and typing the same thing over and over again. But writing software to automate it is often too expensive or simply not possible. So we’ve had to do suck it up and grind through (or pay someone else to)—until now.\n\n### Solution\n\nAutotab is a desktop app for teaching AI to do the work you don’t want to do. You simply show it how to do the task once, and Autotab uses AI to learn how to do it for you. Once it has learned a task, Autotab can do it as many times as you want, 24/7/365. No lunch breaks needed.\n\nAutotab is built for real work: It excels at tasks that are **repetitive, such as doing the same thing for every item in a list, and complex, e.g.,** involving many steps across different software applications. Autotab currently is able to do any task that can be done in a browser, with capabilities to control any application on your computer coming soon.\n\nOn top of it all, you only pay for the time that Autotab actually spends doing work for you—starting at $1/hour!\n\n# Digital robot, real work\n\nWe built Autotab with an extreme focus on reliability and the ability to execute complex workflows.\n\n**Bare metal control:** Autotab has its own browser that gives it the bare metal control needed to deliver 98%+ reliability without any site-specific fine-tuning. This also lets us avoid most bot detection.\n\n**Show, don’t tell:** Most other approaches try to have an agent autonomously plan novel chains of actions based on natural language instructions (e.g., “Order me a Domino’s pizza”). While Autotab can do that too, for most important automations it is much easier to show Autotab the workflow than it would be to write a paragraph describing all the steps. If you were to train a human, would you explain where to click or just share your screen & explain with a voiceover?\n\n**Discrete, auditable actions:** Each task that Autotab learns is composed of a series of steps. This makes it easy to understand and have fine-grained control over what Autotab does. It also allows Autotab to work autonomously with extremely high reliability for hours on end.\n\n### Ask\n\nHire Autotab to do your repetitive work for you. **Sign up **[**here**](https://78348iv5tyv.typeform.com/to/PFjNcLqW?utm_source=launchyc)** to request early access!**",
        "url": "https://www.ycombinator.com/launches/Kmz-autotab-digital-robot-to-do-your-repetitive-work",
        "votes": 35,
        "created_at": "2024-04-03T16:54:31.984Z"
      },
      {
        "id": 73240,
        "title": "ZTool - Create data tools & scripts with just a few words",
        "tagline": "ZTool.co is the personal developer for entrepreneurs, analysts, and marketers",
        "body": "**tl;dr**\n\n**Describe** the tool you need **in** **one sentence** and ZTool will create the code, run it, and present the output. We particularly focus on all things **CSV** **files**: anything from exporting csvs, to merging files and enriching data is possible. Over time, users can edit, build out and share their library of tools with each other.\n\n**Problem**\n\nPython scripts for tools like scrapers or workflow automations have been written thousands of times before. Reusing that code — and saving time — should be easy but it’s not: finding the relevant scripts is hard, and adapting it to your specific case requires a certain level of skill at which one can just write the code from scratch. ZTool solves both the search problem and the skill problem; it will give you the exact script you need, specific to your use case, and regardless of your technical ability.\n\n**Solution**\n\nAll the user has to do is describe the script they want, for example: merge two CSV files. ZTool, powered by LLMs, will ask specifying questions, ask for the input files, and then create an output file. That’s it!\n\n![uploaded image](/media/?type=post&id=73240&key=user_uploads/1377594/f6494391-8d41-4a73-8e81-01d797eef7e3)\n\n**How we came up with this**\n\nWhile working as an analyst at a VC firm many years ago, Jonas hacked together a script to process csv data for a deal analysis. It was a simple script but it **saved him days worth of manual work**. Over time the initial script proved useful for more and more deals and grew into an entire library of Python scripts for automating different tasks, from data analysis to web scraping. It took Jonas a week to create that initial script and he had to learn Python, regex, SQL, Docker, cloud, and more—with ZTool anyone could have done it in 5 minutes.\n\n**Concrete ask**\n\nZTool has a blessing and a curse, and they turn out to be the same thing: it is super powerful and can be used to generate all sorts of scripts. Help us figure out what we should focus on [**by trying it out**](https://www.ztool.co/) and showing us what tools are most useful to you!",
        "url": "https://www.ycombinator.com/launches/J3I-ztool-create-data-tools-scripts-with-just-a-few-words",
        "votes": 36,
        "created_at": "2023-07-19T19:41:52.401Z"
      }
    ]
  },
  {
    "id": 29137,
    "name": "Opensteer",
    "slug": "opensteer",
    "former_names": [
      "Thumbnail Game",
      "TrendUp",
      "trendup",
      "Curatle",
      "dinogent",
      "Curatle",
      "Oversteer"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38b0ef5314d328b72aff9a8d9829350f181b5ace.png",
    "website": "https://opensteer.com",
    "all_locations": "Los Angeles, CA, USA; Remote",
    "long_description": "Opensteer creates specialized AI agents in cloud computers that can integrate with anything. Each agent gets customizable browser access, tools, instructions, and guardrails, so it can work 24/7 exactly the way you need.",
    "one_liner": "Specialized agents for real work",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1689032123,
    "tags": [
      "Robotic Process Automation",
      "B2B",
      "API",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/opensteer",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/opensteer.json",
    "year_founded": 2023,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/38b0ef5314d328b72aff9a8d9829350f181b5ace.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1369366,
        "full_name": "Tim Jang",
        "title": "Founder",
        "founder_bio": "Founder at Opensteer. Previously at Block.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/timjang3",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9fa76a17acafebcc366921a150dbeeceb5469bd0.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 102076,
        "title": "Opensteer - Specialized agents that learn and run your business",
        "tagline": "A team of AI agents that run your business",
        "body": "Opensteer creates specialized AI agents that learn and use your tools, workflows, rules, and custom processes to become experts at one specific job.\n\nEach agent runs in a secure cloud workspace with its own browser, tools, memory, schedules, rules, and approval gates. Instead of one generic assistant trying to do everything, Opensteer agents are trained around one job and the way your company actually gets it done.\n\nWith a team of specialized agents, you essentially have a suite of AI employees that help run and accelerate your business 24/7.\n\n<https://www.youtube.com/watch?v=6_KREHla-b8>\n\n**The Problem**\n\nAgents today are too generic. They get a long prompt, a huge context window, and every tool loaded at once.\n\nBut real company workflows are specific and messy. Sales follow-up happens across a CRM, Gmail, LinkedIn, and Slack. Support triage may require tickets, docs, dashboards, and manager approvals. Ops work often lives inside browser-only portals with no API.\n\nEach job needs its own rules, context, workflows, and guardrails. With one generic agent, those rules get blended together, important context gets lost, and the quality of the work drops.\n\n**The Solution**\n\nOpensteer turns a generic agent into a specialized worker by giving it a custom harness for one job.\n\nA harness is a filesystem that teaches an agent how to do a workflow well. It contains the agent's operating playbook, memory, tools, schedules, browser access, deterministic code, approval rules, and integrations for that specific job.\n\nSkills tell the agent how to think, make tradeoffs, and follow your company's rules. Actions and scripts handle the parts that should run the same way every time: API calls, browser automation, parsing, validation, database updates, notifications, and scheduled routines.\n\nYou decide where each workflow sits on the autonomy spectrum: deterministic code, agent judgment, human approval, or a mix of all three.\n\nBecause harnesses can use APIs, first-party MCPs, CLIs, custom code, and browser automation, Opensteer agents can integrate with anything your team already uses.\n\n**How It Works**\n\n1\\. Describe the job you want the agent to own.\n\n2\\. Opensteer creates a specialized harness for that workflow.\n\n3\\. Connect the apps, browser profiles, tools, APIs, and data it needs.\n\n4\\. Add rules, approvals, schedules, and deterministic actions.\n\n5\\. Run it in the cloud, then check in or steer it from Opensteer, Claude Code, or Codex.\n\n**Our Ask**\n\nCreate your own custom, specialized agents today at Opensteer or book a call here: [**https://cal.com/tim-opensteer/30min**](https://cal.com/tim-opensteer/30min)\n\nWebsite: [**https://opensteer.com**](https://opensteer.com)\n\nEmail: [**tim@opensteer.com**](mailto:tim@opensteer.com)",
        "url": "https://www.ycombinator.com/launches/QYO-opensteer-specialized-agents-that-learn-and-run-your-business",
        "votes": 17,
        "created_at": "2026-05-28T07:11:36.274Z"
      },
      {
        "id": 95163,
        "title": "Oversteer - The Most Reliable Browser Agent for Any Web Task",
        "tagline": "Turn any website into a reusable API",
        "body": "**_TL;DR_** Oversteer is building browser agents to automate web tasks and turn them into reusable, deterministic APIs. You can integrate the API into any system and automate/integrate any website or portal. \n\nhttps://www.youtube.com/watch?v=IZCy2r-rs7s\n\n# **What’s the insight?**\n\nAcross industries, teams still outsource repetitive web tasks — logging into portals, downloading files, submitting forms, extracting data — to human labor, spending millions of human labor hours. Traditional browser automation tools exist, but they’re **unreliable, expensive, and non-deterministic**. Companies and users want something that just works - a reliable agent that can execute their workflow end-to-end deterministically that works correctly every time, and actually replace human work. \n\n# **What did we build?**\n\nOversteer is an **AI browser agent** that automates any website or web portal from a simple prompt. It generates **deterministic scripts** that run like APIs — **reliable, reusable, and self-healing** when websites change. Because they don’t rely on LLMs at runtime, they’re **fast, consistent, and cheaper** than traditional browser agents.\n\n# **How it works:**\n\n**Step 1:** Understands and records a user’s web workflow from just a prompt.\\\n**Step 2:** Generates a deterministic automation script from the workflow.\\\n**Step 3:** Handles anti-bot detection, CAPTCHA solving, and automatic login with 2FA.\\\n**Step 4:** Runs as a reusable API and connects to systems like Zapier, n8n, and app builders like Lovable, v0.\\\n**Step 5:** Automatically adapts when websites update, ensuring the automation keeps working.\n\n---\n\n# **The Team**\n\n**Tim Jang** – Founder. Previously built multiple consumer apps with millions of users. Developed large-scale web automation systems to extract real-time data on millions of consumer products, and is now bringing that technology into a product that anyone can use.\n\n---\n\n# **Our Ask (and Offer)**\n\nTry it yourself for free: https://oversteer.dev\n\nIntro: We’re looking to connect with companies that spend hours doing repetitive web tasks — in **procurement, logistics, healthcare, accounting, finance**, or any industry with heavy manual computer work.\n\nOr if you’re someone who wants to integrate websites into automation workflow tools like n8n, Zapier, or app builders like Lovable, we’d love to talk.\n\nFeel free to email me at [**tim@oversteer.dev**](mailto:tim@oversteer.dev)\n\nor book a meeting here: https://cal.com/tim-jang-r1jrml/30min",
        "url": "https://www.ycombinator.com/launches/Okt-oversteer-the-most-reliable-browser-agent-for-any-web-task",
        "votes": 15,
        "created_at": "2025-11-05T02:17:41.406Z"
      }
    ]
  },
  {
    "id": 29150,
    "name": "Tempo",
    "slug": "tempo-2",
    "former_names": [
      "Tempo Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/860f478b7cd2ea33eefb86e90c9c693abef2997f.png",
    "website": "https://www.tempo.new",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Tempo is a visual editor for react that gives PMs, designers, and engineers the ability to collaborate visually on code. It offers the familiar UX of a design tool but functions like an IDE under the hood. Tempo is optimized for Vite and Tailwind.",
    "one_liner": "Visual Editor for React, powered by AI",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689887097,
    "tags": [
      "Developer Tools",
      "B2B",
      "Design Tools",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/tempo-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/tempo-2.json",
    "year_founded": 2023,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/tempo-labs/",
    "x_url": "https://twitter.com/Tempo_Labs",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/860f478b7cd2ea33eefb86e90c9c693abef2997f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 186561,
        "full_name": "Kevin Michael",
        "title": "Founder",
        "founder_bio": "Spent the last 5 years as founding engineer and head of product at Perpetua ($150M exit). Previously product fellow at Social Capital and engineer on the Visual Studio team at Microsoft.\n\nI've tried every low-code tool on the market and not a single one does a good job integrating with existing production codebases. I'm obsessed with solving this problem at Tempo and using AI to turn anyone into a 10X engineer.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevin1michael",
        "x_url": "https://twitter.com/Kevin1Michael",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c7830f8663eab5c6d02ae78b8d45d215d44e638.jpg"
      },
      {
        "user_id": 187455,
        "full_name": "Peter Gokhshteyn",
        "title": "Founder",
        "founder_bio": "Passionate about building great products fast. Joined Perpetua ($150M exit) 6 years ago as employee #3 and led the engineering team from idea to PMF. Previous worked as a software developer at Google, Bloomberg & Zynga.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/petergokhshteyn",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/736fd7198b0fd99e0e711bdeb7288da5fbf5e458.jpg"
      }
    ],
    "jobs": [
      {
        "id": 68263,
        "title": "Software Engineer, Full Stack (In-Person - Toronto)",
        "url": "https://www.ycombinator.com/companies/tempo-2/jobs/fszRm52-software-engineer-full-stack-in-person-toronto",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K CAD",
        "equity_range": "0.35% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React"
        ]
      },
      {
        "id": 68264,
        "title": "Software Engineer, LLMs & AI Agents (In-Person - Toronto)",
        "url": "https://www.ycombinator.com/companies/tempo-2/jobs/C9xH3JW-software-engineer-llms-ai-agents-in-person-toronto",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K CAD",
        "equity_range": "0.35% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React"
        ]
      },
      {
        "id": 83825,
        "title": "Founding Product Designer ",
        "url": "https://www.ycombinator.com/companies/tempo-2/jobs/Hia3MVk-founding-product-designer",
        "location": "Main Office - Toronto",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$125K - $200K CAD",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "TypeScript",
          "Figma",
          "Tailwind"
        ]
      }
    ],
    "news": [
      {
        "title": "Tempo's $5M Seed To Empower The Design Engineering Movement",
        "url": "https://www.tempo.new/blog/5m-seed-design-engineering-movement",
        "date": "Oct 22, 2025"
      }
    ],
    "launches": [
      {
        "id": 88483,
        "title": "Tempo V2: Build React Apps 10X Faster With AI",
        "tagline": "Tempo is where designers and developers collaborate on code",
        "body": "### **TL;DR**\n\nTempo is a visual IDE that enables designers, PMs, and developers to collaborate on code with the help of AI. In addition to prompting, Tempo gives you the fine-grain control that comes from a traditional design editor or code editor.\n\nIn V2, we introduce our [Figma Plugin](https://www.figma.com/community/plugin/1463689183126672406/tempo-ai-powered-figma-to-code-react), new AI reasoning + Gemini Search, [pre-built SaaS templates](https://tempolabsinc.mintlify.app/SaasTemplates) (for Stripe, Polar, Supabase, Convex+Clerk), and Expo support for react-native mobile apps. Watch our demo, [here](https://youtu.be/Sup921tMUf4).\n\n**The problem?** \n\n“Low-code” and “design to code” tools suck. As much as they accelerate the development process for simple apps, none have succeeded at helping serious software companies ship production-grade software. \n\nNew AI-powered web app builders take a code-first approach that is superior, however, they still struggle with complex apps and large codebases.\n\n**How we are solving it**\n\nTempo redefines the development workflow by combining the best of an IDE (like VS Code), a design tool (like Figma), and an AI chat assistant that enhances both—creating a single source of truth for designers and developers. Whether you’re a non-technical builder or a seasoned engineer, Tempo streamlines the process from concept to production.\n\nWith **V2, Tempo introduces:**\n\n🎨 **A fine-grain design panel** for pixel-perfect control\n\n🖼️ **A Figma plugin** that converts your designs to code in Tempo\n\n🧠 **Enhanced AI reasoning + Gemini Search** for faster debugging and development.\n\n⚡ **Pre-built SaaS templates** for Stripe, Polar, Supabase, Convex + Clerk.\n\n📱 **Expo support** for mobile app development with react native.\n\n**Teams use Tempo to:**\n\n* Build production grade applications.\n* Rapidly generate and refine prototypes.\n* Visually collaborate on production code.\n* Ship UIs that are pixel-perfect, every time.\n\nThe interface feels like your favourite design tool but works like an IDE. Teams using tempo ship to production 10x faster by adopting a code-first workflow.\n\n**What are we looking for?** \n\nSimply put—build, share, and showcase what you’ve created. Tag us in your [X](https://x.com/Tempo_Labs), [LinkedIn](https://www.linkedin.com/company/tempolabs/), or other posts, and we’ll amplify it to the community. Also please share your feedback.\n\nNeed additional support to accelerate your product roadmap? [Agent+](https://www.tempo.new/ai-agent-plus) can help accelerate your roadmap—designing and shipping 1-3 features per week. YC companies get $500 off for the first 3 months. Let’s build faster, together.\n\n**About Us:** \n\nFounders [Kevin](https://www.linkedin.com/in/kevin1michael/) and [Peter](https://www.linkedin.com/in/petergokhshteyn/) previously worked at Microsoft, Google, and Perpetua. They are building Tempo to help teams go from idea to production in minutes.",
        "url": "https://www.ycombinator.com/launches/N19-tempo-v2-build-react-apps-10x-faster-with-ai",
        "votes": 53,
        "created_at": "2025-03-11T17:41:51.665Z"
      },
      {
        "id": 73362,
        "title": "Tempo Labs - Build UIs 10X faster with AI",
        "tagline": "AI design & prototyping tool which contributes react code directly to your codebase",
        "body": "**TL;DR:** [_Tempo_](https://www.tempolabs.ai/) is an AI design & prototyping tool which contributes high-quality react code directly to your codebase. You can use tempo to generate complete views using simple AI prompts, polish & control design details visually, and build a high quality design system using your existing components. Sign up here to give it a try: [**_https://www.tempolabs.ai/_**](https://www.tempolabs.ai/)_._\n\nHere’s a 2-min demo: [**https://www.youtube.com/watch?v=2qQJKQJq7Jk**](https://www.youtube.com/watch?v=2qQJKQJq7Jk)\n\nHey Everyone, [Kevin](https://www.linkedin.com/in/kevin1michael/) & [Peter](https://www.linkedin.com/in/petergokhshteyn/) here, we’re the founders of [Tempo Labs](https://www.tempolabs.ai/).\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=73362&key=user_uploads/186561/3de21c2f-8b73-4db8-8f65-5e2b61ea3670)\n\n### **The Problem**\n\nWhile building our last startup (Perpetua), we spent a lot of time looking for ways to speed up the pace of our development and prototyping. We tried every low-code tool on the market and were constantly disappointed by how poorly they integrated with our existing codebase. Figma ended up being our de facto tool for testing concepts but Figma prototypes always felt low-fidelity and took way too long to ship to production.\n\n### **The Solution**\n\nTempo is the design and prototyping tool we wish existed. Tempo integrates with any react project and empowers designers to collaborate with engineers directly on the codebase. Powered by AI, tempo generates 60%-80% of the front-end code required for any feature so engineers are free to focus on writing business logic rather than css. By eliminating the design->code translation process we help teams ship their ideas to production 10X faster.\n\n### **The Ask**\n\nIf you’re building a react app and are interested in testing us out please email me at [**kevin@tempolabs.ai**](mailto:kevin@tempolabs.ai). If you already have a design system we’ll give you a visual playground to build new views, if you don’t, we’ll help you implement one! If your app looks like crap, or your codebase feels hard to maintain, get in touch - we’ll help you level up your front-end using AI :)\n\n### **The Deal**\n\nSign-up before demo day and get 70% off for the first 6 months!",
        "url": "https://www.ycombinator.com/launches/J5G-tempo-labs-build-uis-10x-faster-with-ai",
        "votes": 84,
        "created_at": "2023-07-24T18:15:59.327Z"
      }
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    "id": 29152,
    "name": "Cembla",
    "slug": "cembla",
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    "website": "https://cembla.com",
    "all_locations": "San Francisco, CA, USA",
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    "one_liner": "AI for legal & government",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1687991939,
    "tags": [
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      "GovTech",
      "B2B",
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    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Ben and Brian met at the 2015 Speech & Debate Nationals the summer before the start of their freshman year at Stanford. Since then, they’ve been best friends and are currently roommates in San Francisco. After graduating with his master’s in computer science, Ben was most recently an applied machine learning researcher in a Stanford research lab. After graduating with his bachelor’s in engineering, Brian was most recently a product manager on the front lines of early AI adoption in industry. Ben and Brian started Taylor because they saw companies rushing to adopt AI but struggling to adapt one-size-fits-all chat models for their use cases."
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    ],
    "url": "https://www.ycombinator.com/companies/cembla",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cembla.json",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "full_name": "Brian Kim",
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        "full_name": "Benjamin Anderson",
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        "title": "Data Engineering Startups funded by Y Combinator (YC) 2024 | Y Combinator",
        "url": "https://www.ycombinator.com/companies/industry/data-engineering",
        "date": "Apr 01, 2024"
      },
      {
        "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale",
        "url": "https://www.tryfondo.com/blog/taylor-ai-launches",
        "date": "Mar 26, 2024"
      },
      {
        "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale",
        "url": "https://www.tryfondo.com/blog/taylor-ai-launches",
        "date": "Mar 25, 2024"
      },
      {
        "title": "Bruckner Ventures on LinkedIn: 🚨 Bruckner Ventures is thrilled to announce our investment in Taylor AI…",
        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7136381855037100033/?actorCompanyId=95063899",
        "date": "Dec 01, 2023"
      },
      {
        "title": "The AI Edge on LinkedIn: #ai #aitools #tech #productivity | 10 comments",
        "url": "https://www.linkedin.com/posts/the-ai-edge_ai-aitools-tech-activity-7095124082316185602-tVwh?utm_source=share&utm_medium=member_desktop",
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    "launches": [
      {
        "id": 79451,
        "title": "Taylor — Tag your text data at scale",
        "tagline": "The API for on-demand text classification (No LLMs)",
        "body": "Hey everyone! 👋 We're Ben & Brian.\n\n**TL;DR** Use Taylor’s API to tag your free text faster and cheaper than a LLM can.\n\n**THE PROBLEM** High-volume, high-frequency text data (like user-generated content, chat completions, and lead communication logs) is difficult to sort, productize, and manage. You can tag text with LLMs, which works well on smaller datasets but is challenging at scale due to rate limits, high latency, and accuracy issues (“creative” labels). What if you could classify text in real time with no rate limits?\n\n**OUR SOLUTION** An API for classifying your text in milliseconds into hierarchical labels. For example, use our out-of-the-box **topic classification model** to tag your free text by topic.\n\n![uploaded image](/media/?type=post&id=79451&key=user_uploads/989748/3ee6956b-5fd4-4f09-a9f4-8150c204b8ac)\n\n**OUR ASKS**\n\n1. Make a request to our topic classification model! [Log in](https://www.trytaylor.ai/login), grab your API key, and then use [this starter code](https://docs.trytaylor.ai/Topic%20Tags/request#full-example) to get back topic labels.\n2. Not the labels you need? Email us ([founders@trytaylor.ai](mailto:founders@trytaylor.ai)) or book time [here](https://calendly.com/brian-r0o/taylor-ai).\n3. Follow us on [Twitter](https://twitter.com/TryTaylor_AI) and [LinkedIn](https://www.linkedin.com/company/taylor-ai/) to stay on top of our latest models and roadmap!",
        "url": "https://www.ycombinator.com/launches/KfT-taylor-tag-your-text-data-at-scale",
        "votes": 64,
        "created_at": "2024-03-18T03:17:06.573Z"
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    "name": "CodeStory",
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    "all_locations": "London, England, United Kingdom",
    "long_description": "We're building Aide, an AI-native IDE designed for engineers to enjoy problem-solving with agents by their side.\r\n\r\nWe're currently a team of two, based in London, United Kingdom. Between us, we have been tech leads with experience building testing infrastructure at Meta, payment systems for 150k merchants in India, been an ACM ICPC world finalist and Open-Source contributor to critical infrastructure including gRPC and the Bazel build system. We love dev tooling, and enjoy thinking about the future of programming.",
    "one_liner": "Aide is an AI-native , privacy-first IDE built on top of VSCode",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Sandeep Pani",
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        "full_name": "Naresh Ramesh",
        "title": "Founder",
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        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/naresh-ramesh",
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      {
        "id": 85305,
        "title": "Aide — The Open Source IDE to solve hard problems",
        "tagline": "Code with the speed and knowledge of the best programmer you know. Aide is by your side.",
        "body": "Hey all! We’re Sandeep and Naresh from CodeStory. Aide (<https://aide.dev>) is the IDE for engineers to solve hard problems where changes are not limited to a single file but require iteration across multiple files. We are also open source at <https://github.com/codestoryai>. The main repositories are the:\n\n* [IDE](https://github.com/codestoryai/ide) (the VSCode fork)\n* [Sidecar](https://github.com/codestoryai/sidecar) (our rust binary the AI brains)\n\nCheck out the [editor in action](https://youtu.be/M82aLgBzdmk):\n\nWhen we started building CodeStory last year, we were set on building the best chat and autocomplete experience in the editor, which we believed to be the best use of LLM for code generation.\n\nWe quickly (after 6 months) realised that with the increasing trend of LLM coding capabilities, the UX around chat and copilot felt limiting to the real abilities of these LLMs to help the developer accomplish more. \n\nIn March this year, while debating what to focus our energy on, we decided to experiment with the idea: “What if LLMs could make edits across multiple files without breaking the logic?” So after a month of hacking, we tested our framework against [SWE-Bench Lite](https://www.swebench.com) and were very surprised (and kind of shocked) that Aide became the SOTA, resolving 43% of the issues.\n\nWe instantly knew we had to build the multi-file editing experience into the editor and do it well. \n\nWe decided NOT to put energy into building a better “copilot autocomplete” or “chat,” but rather go all in on shipping a better “multi-file editing flow.”\n\nWhile multi-file edits allow for larger units of work to be done, they have their set of problems:\n\n1. Lack of control to granularly iterate when there is a small issue within a large change\n2. Inability to roll back to older states when using over a long coding session.\n3. Changes to the local scope, especially when context is not provided exhaustively, break the codebase globally\n4. Context about edits made in a previous editing session is not kept around\n\nTo start in this direction, we forked VSCode 15 months ago as the most rock solid foundation to build an editor on top of and put quite a lot of work into solving some of the above stated issues with multi-file editing:\n\n1. We built a proactive agent which looks at the linter errors (Language server and your own feedback) and proactively comes back with fixes and suggestions for improvements.\n2. Special UX and integration with models for always breaking down changes into small, logical units that are easy to understand and have live previews using decorations in the editor, so changes can be applied easily, in parts or all at once.\n3. Native support for checkpoints and rollbacks: We couldn’t use git, of course, so we hooked into the TextModel implementation in VSCode (which is its in-memory representation of a file) to keep track of file versions across AI changes, while also preserving the undo stack. These checkpoints are exposed in the UI, letting you easily move back and forth when needed without having to worry about uncontrolled changes.\n4. Integrate tightly with the Language Server API on the editor to gather diagnostics from the whole codebase when changes occur, to ensure unintended breakages are quickly caught and propose fixes. For instance, the LLM changing a function signature should also fix the entire call stack.\n5. Maintain a continuous, long session context. Because our editor works entirely locally (no intermediary server interaction, just LLM calls directly from your machine!), the Rust binary shipped with the editor listens to all events and changes made by both the developer and AI to keep a continuous context, so subsequent changes are always better informed.\n\nThough, we, of course, didn’t just stop with multi-file edits.\n\n1. Even with single-file changes, our Rust binary leverages tree-sitter to structurally understand a file and use a combination of Search-And-Replace style editing with tight editor integration to edit multiple locations within a file in parallel to make faster edits, especially useful in large files. And threw in AST navigation for developers to move faster around them.\n2. To gather context for codebase-wide queries, rather than try to maintain lossy embeddings, the binary builds a repo map to let the LLMs filter down the most useful parts of the codebase per query.\n3. Wherever possible, use the new prompt caching capabilities (also exposed as a first-class citizen in the editor to give developers more control) to cache the most relevant files in a coding session — which largely speeds up response times.\n4. Build a macOS Spotlight style widget to quickly send our edit instructions for the agent to pick up and work while you focus on the code front and centre.\n\nSince everything runs locally on your machine, this is also a more privacy-friendly approach and gives the optional benefit of using your keys & contracts with cloud model providers — and we’re more than happy to speak with companies that are interested in setting this up. If you are someone who loves tinkering with LLMs, all the requests & responses are just stored on a SQLite DB on your machine (and nothing at our end), which is data that could perhaps be used in the longer run to fine-tune or build features to improve AI performance over time within teams.\n\nThere is still a ton to do in terms of robustness and capabilities. Despite all the progress, we still feel we’ve only explored about 1% of what coding with AI could look like. For now, we’d love for you to try out Aide at <https://aide.dev>. To keep things simple, we have a standard subscription plan with a 2-week trial to try out the editor. We’d love to hear your feedback and ideas!\n\n![uploaded image](/media/?type=post&id=85305&key=user_uploads/89898/ac8a2779-6f50-4489-bd96-b7739eb66724)\n\n",
        "url": "https://www.ycombinator.com/launches/MBt-aide-the-open-source-ide-to-solve-hard-problems",
        "votes": 18,
        "created_at": "2024-11-05T21:54:43.869Z"
      },
      {
        "id": 73829,
        "title": "CodeStory ✨ is an AI-powered mod of VSCode.",
        "tagline": "CodeStory is a full-blown AI-powered IDE built to tackle any complex task, so you can accomplish your goals faster.",
        "body": "TLDR: CodeStory ✨ is an IDE for engineers of the future. CodeStory enables deep integration for AI assistants with your development environment, so your pair programmer can complete complex tasks and get it right.\n\n### The problem ⚙️\n\nAs programmers, we like to break down our tasks into small chunks that can be executed independently. Consider the simple task of **adding a widget to show sales numbers on your website** which can involve multiple steps:\n\n* Database queries to fetch the data on the backend\n* Exposing an API route to make the data available for the frontend\n* Frontend UI and API integration to complete the task\n\nEven within a single codebase, such a task requires finding and making the right changes in multiple parts and connecting them together. Though this can be done independently and in parallel, there is only so much an engineer can do at a time.\n\nWe thus decided to build CodeStory, **a next-generation code editor that is AI-first, where humans assist powerful AI agents instead of the other way around!** We have started with a VSCode extension in order to prototype the capabilities.\n\n### Watch CodeStory debug and build itself! 🤯\n\nIt would be a shame if CodeStory couldn’t debug or build itself... so we put it to work!\n\nHere we asked CodeStory to do proper dependency injection (you can see it using references, searching for symbols using ripgrep and cmd+click on a symbol like a true programmer!)\n\n<https://youtu.be/pY4QWEqG8Es>\n\nIn the following video, we asked CodeStory to fix an annoying bug with a race condition happening in our async codebase and write a test to make sure the issue does not repeat again.\n\n<https://youtu.be/-5LH9W-XHC4>\n\n### How we are solving it? ✨\n\nTo be effective as software engineers, we need access to tools. We realized early on that even our editor is full of features that aid in writing code and debugging it.\n\nTo make CodeStory effective as an engineer, we gave it the following powers 🔋:\n\n* Language Server integration 📝\n  * CodeStory can ask for references of a symbol or cmd+click to a symbol to investigate more\n* Terminal access 🖥️\n  * CodeStory can freely run commands on the terminal when required in a sandbox environment.\n* Code Graph of the whole codebase 〽️\n  * CodeStory knows how different classes and modules are linked to each other, so it can search your whole codebase semantically (both natural language)\n\n### The future 📡\n\nWe love AI-powered development and envision a future where humans are gluing AI agents to work together.\n\n### The team 👥\n\nHi all! We are Naresh and Sandeep, co-founders of [CodeStory.ai](http://CodeStory.ai) and close friends for over a decade. We met in our freshman year at University and since then Sandeep worked as Tech leads for Testing Infrastructure at Meta and building out devtooling for engineers, and founding engineers at startups (YC backed!) and fintech.\n\n### Our ask 🙏\n\nWe are currently on-boarding users for CodeStory slowly to gather detailed feedback. If you’d love to try CodeStory, we are active on [discord](https://discord.gg/Cwg3vqgb) or [twitter](https://twitter.com/codestoryAI), and would be happy to help you onboard and answer any questions.\n\nYou can also reach out to us directly at [founders@codestory.ai](mailto:founders@codestory.ai) to talk more about the future of AI-powered coding. We are very, very excited about this!",
        "url": "https://www.ycombinator.com/launches/JCn-codestory-is-an-ai-powered-mod-of-vscode",
        "votes": 38,
        "created_at": "2023-08-04T22:58:55.458Z"
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    "id": 29157,
    "name": "Orbio Earth",
    "slug": "orbio-earth",
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    "website": "https://www.orbio.earth/",
    "all_locations": "Remote",
    "long_description": "Orbio uses satellite imagery to track methane emissions from the oil & gas industry. We sell the data to financial companies that want to invest into the best performing energy companies.\r\n\r\nUntil today, oil & gas companies use excel-based emission factors to calculate and report their emissions. As these excel-based emission factors underestimate actual emissions by ~70%, the finance companies that invest into oil & gas can’t mitigate against incoming risks from new regulations, \r\n\r\nWe have built a technology that can for the first time use satellite images to track methane from every single oil & gas facility on the planet, replacing emission factors and allowing finance companies to make the best bets on oil & gas companies that will withstand a wide avalanche of incoming regulation. In the summer 2023 our satellite-based technology got ranked #1 both in terms of accuracy and sensitivity of methane emission events by Stanford University in a peer-reviewed study, beating a range of multi-bn dollar competitors like Maxar.\r\n\r\nLearn more at https://orbio.earth",
    "one_liner": "Tracking methane emissions with satellites",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1687128394,
    "tags": [
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      "Analytics",
      "Climate",
      "Energy",
      "AI"
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      "name": "Gustaf Alstromer",
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        "user_id": 934621,
        "full_name": "Robert Huppertz",
        "title": "Founder",
        "founder_bio": "Co-Founder Orbio Earth GmbH; Ex-ML Engineer NASA Harvest; Ex-Cervest",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/robert-huppertz-6536a0122",
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      {
        "user_id": 855020,
        "full_name": "Jack Angela",
        "title": "Founder",
        "founder_bio": "Climate optimist building out product and commercial strategy @ Orbio Earth",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jack-angela-bab326a5",
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    "news": [
      {
        "title": "Orbio Earth finds methane leaks that could cost oil companies billions this year | TechCrunch",
        "url": "https://techcrunch.com/2024/03/13/orbio-earth-seed-round/",
        "date": "Mar 13, 2024"
      }
    ],
    "launches": [
      {
        "id": 72376,
        "title": "🛰️ Orbio Earth - Monitoring methane emissions with satellites",
        "tagline": "We help sustainability analysts manage methane emission risks",
        "body": "**tl;dr** _Orbio makes it easy for sustainability and risk professionals to identify large methane emission risks across global energy portfolios. If you’re interested in finding out more check out our website _[_here_](https://www.orbio.earth/)_, and feel free to book a product demo _[_here_](https://www.orbio.earth/orbio-demo)_!_\n\nFor more information read on below 👇\n\nHi everyone, thanks for stopping by our launch YC post. We are Rob and Jack and we are on a mission to power the low-carbon transition through methane monitoring.\n\n💨 **Why methane I hear you ask?**\n\nMethane emissions from the energy industry, if prevented would have the climate impact equivalent to taking all cars and trucks off the road globally. It is a short-lived pollutant, therefore stopping this gas getting to the atmosphere is one of the best levers we have in the climate change mitigation fight.\n\n🚫 **The Problem: Poor data on understanding where emissions occur**\n\nExisting data collection processes are manual, involving hand-held cameras on a site, expensive and not frequently available on all 12 million oil & gas assets globally. Poor data collection processes mean poor data.\n\nExisting methane inventories under-represent methane emissions by around 70%. This is preventing sustainability and risk analysts from managing emissions in their global energy portfolios. Mismanagement of these emissions can lead to stock devaluations, stranded assets and increases global warming.\n\n⭐ **The solution: Global and frequent methane emissions data**\n\nOrbio helps sustainability and risk analysts identify where in their large energy portfolios the biggest methane emission risks are. Identifying previously unknown risks and doing this on a frequent basis gives these analysts the tools to effectively manage emission risks.\n\n🤖 **How it works: Processing non-methane emission satellite data**\n\nOrbio leverages the power of satellite data. We have developed an algorithm capable of processing data from satellites not previously designed to monitor methane emissions. Using these satellites enables us to deliver world-leading data across global scales, at an asset level (e.g. an oil well) and on a frequent basis.\n\n_Benchmarking assets, operators and countries on methane emission performance:_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/9256c560-1b9c-43dd-b0ff-f4dba82c8f01)\n\n_\\\nMapping out where these methane emission risks lie in energy portfolios_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/6cf6d1c0-82c8-45ed-bdef-7cb274bbd1c4)\n\n💰 **The opportunity: A growing market being pulled by new regulation**\n\nA sweep of regulation being introduced across the globe in 2023. This is putting pressure on the energy industry, financial professionals and insurers, totalling around 60,000 companies worldwide, to get a better understanding of what the associated emission risks in their energy portfolios.\n\n🙏 **Our ask: How you can help**\n\n* Connect us with sustainability risk analysts in the energy, finance and insurance industries. [Click here](https://www.linkedin.com/in/jack-angela-bab326a5/)\n* We are hiring, if you know anyone on the marketing and commercial side we would love to have an intro! [Click here](https://www.orbio.earth/careers)",
        "url": "https://www.ycombinator.com/launches/IpM-orbio-earth-monitoring-methane-emissions-with-satellites",
        "votes": 28,
        "created_at": "2023-06-19T22:48:41.505Z"
      }
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    "id": 29160,
    "name": "Letterbook",
    "slug": "letterbook",
    "former_names": [
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      "Martin"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6c57e5c710ca16dd9d6aada5b18cbe7dbed8be8.png",
    "website": "https://www.letterbook.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Letterbook is the AI-native alternative to Zendesk, Freshdesk, Zohodesk, and Intercom. We help companies manage and resolve customer support tickets across email, in-app feedback, and website forms. Our AI will triage your tickets, write replies, and build your knowledge base.",
    "one_liner": "AI-native customer support platform",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1689104591,
    "tags": [
      "Customer Service",
      "Customer Support",
      "AI"
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    "isHiring": false,
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    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/letterbook",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/letterbook.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/letterbook-ai/",
    "x_url": "https://x.com/LetterbookAI",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6c57e5c710ca16dd9d6aada5b18cbe7dbed8be8.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1211344,
        "full_name": "Ethan Hou",
        "title": "Founder",
        "founder_bio": "Founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ethan-hou10",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08674f0ee0965bf332f334e7c9d09f714a7e5ce1.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "These Yale and Berkeley dropouts just raised $2 million to build an AI assistant that could rival OpenAI | VentureBeat",
        "url": "https://venturebeat.com/ai/these-yale-and-berkeley-dropouts-just-raised-2-million-to-build-an-ai-assistant-that-could-rival-openai/",
        "date": "Jan 30, 2025"
      },
      {
        "title": " 😺 Bye, Siri | Product Hunt",
        "url": "https://www.producthunt.com/newsletters/archive/28671-bye-siri",
        "date": "Mar 26, 2024"
      }
    ],
    "launches": [
      {
        "id": 99773,
        "title": "Letterbook - AI Customer Support Built for Startups",
        "tagline": "Connect your inbox, database, and Stripe. AI resolves your customer service tickets.",
        "body": "Hey everyone, we’re Dawson and Ethan, the founders of Letterbook.\n\n![uploaded image](/media/?type=post&id=99773&key=user_uploads/1399924/882cde5c-ce40-4fa9-ac07-a8b8104f3fa9)\n\n## The Problem\n\nWe grew our last product, Martin (an AI personal assistant), to 100,000 users. At one point, we'd get 50 customer support tickets every day, across email and help forms:\n\n* \"How do I use this feature?\"\n* \"Can I get a refund?\"\n* \"I can't log into my account.\"\n\nI had no choice but to hire a virtual assistant in the Philippines to reply to users and solve billing issues. I had to use Zendesk to manage tickets, which was built 20 years ago and designed for a VP of Support, not a founder.\n\n## The Solution\n\nNone of this made sense, so we built our own modern, AI-native support platform.\n\nLetterbook integrates with your database, knowledge base, and Stripe, and our AI auto-prepares resolutions to every ticket. All you have to do is review and send.\n\nWatch our launch video: <https://youtu.be/S1vNoMTcKoI?si=sFwRk9Hpu95ibeqm>\n\n## Results\n\nWe’ve already replaced Intercom, Zendesk, Zohodesk, Helpscout, and Freshdesk for many fast-growing companies in YC. \n\nOne founder said:\n\n> The AI drafts save us so much time, and it gets better over time without us doing anything (it learns from our past emails). When we have to make changes to the draft, the CMD+k feature is a game changer and allows us to fine-tune the response without copying and pasting the entire thread to ChatGPT.\n\n## Try it for free\n\nSign up at <https://letterbook.ai>!\n\nStart resolving tickets in 3 easy steps:\n\n1. Connect your [support@yourdomain.com](mailto:support@yourdomain.com) inbox.\n2. Connect your database and/or Stripe by pasting a restricted API key in Letterbook.\n3. Review the first draft and send it!\n\nUnlike Zendesk/Freshdesk/Zohodesk, which takes days to set up (a friend literally hired a consultant to teach him), Letterbook takes 5 mins. And if you need help, you better believe we have top-notch customer support!\n\nYou can book a call anytime at [letterbook.ai](http://letterbook.ai), or email me at [dawson@letterbook.ai](mailto:dawson@letterbook.ai).",
        "url": "https://www.ycombinator.com/launches/PxF-letterbook-ai-customer-support-built-for-startups",
        "votes": 9,
        "created_at": "2026-04-15T03:49:20.289Z"
      },
      {
        "id": 75285,
        "title": "🤵‍♂️ Martin - Your personal voice AI",
        "tagline": "Meet Martin, a better Siri with an LLM brain.",
        "body": "**TLDR:** Martin is like Jarvis in an app. Through voice conversations, Martin builds a personal relationship with you. He can find information, brainstorm ideas, or just chat with you about your week! You can also ask Martin to send you notes or set reminders in any conversation.\n\n## Meeting Martin for the first time:\nhttps://www.youtube.com/watch?v=eQLTXBq2tDI\n\n## Martin as your friendly confidant:\nhttps://www.youtube.com/watch?v=zfyf5qfYuBM\n\n## Martin as your smart secretary:\nhttps://www.youtube.com/watch?v=azXTaKitrw4\n\n### Our Ask:\n\n* Download Martin on the [App Store](https://apps.apple.com/us/app/martin/id6453473083) and leave us a good review/rating!\n* Let us know all your feedback at [dawson@trymartin.com](mailto:dawson@trymartin.com). :)\n* If you want Martin on Android, let us know [here](https://getwaitlist.com/waitlist/11378)!\n\n### Team:\n\nDawson, Harsh, and Arjun studied Computer Science at Yale, MIT, and CMU respectively for 1 year before dropping out to build Martin.\n\nThe three of us have been hacking together since 6th grade. We’ve built countless apps, websites, and robots together. And, we all share a childhood dream of having our own Jarvis!",
        "url": "https://www.ycombinator.com/launches/JaH-martin-your-personal-voice-ai",
        "votes": 94,
        "created_at": "2023-10-02T06:46:32.174Z"
      }
    ]
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    "id": 29177,
    "name": "Onyx",
    "slug": "onyx",
    "former_names": [
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    "website": "https://www.onyx.app/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Onyx is the open source chat UI connected to your company’s docs, apps, and people. We ingest and sync from all sources of information (Google Drive, Slack, GitHub, Confluence, Salesforce, etc.) to provide a centralized place for users to ask about anything. Imagine your most knowledgeable co-workers, all-rolled into one, and available 24/7!\r\n\r\nCheck us out on Github: https://www.github.com/onyx-dot-app/onyx\r\nOr visit our website: https://www.onyx.app/",
    "one_liner": "Open Source AI Chat",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1704724705,
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      "NLP",
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Acquired",
    "industries": [
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      "Productivity"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/onyx",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/onyx.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/onyx-dot-app/",
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 1493761,
        "full_name": "Yuhong Sun",
        "title": "Founder",
        "founder_bio": "Machine Learning and NLP, previously working on transformers architectures for NL-to-SQL and hybrid search at Alation, inc.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yuhongsun",
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      {
        "user_id": 1493215,
        "full_name": "Chris Weaver",
        "title": "Founder",
        "founder_bio": "Building Onyx. In a past life: top-100 NA League of Legends player + TL at Robinhood.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chris-weaver101",
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    "news": [
      {
        "title": "This Pitch Deck Landed AI Agent Startup Onyx a $10 Million Seed Round - Business Insider",
        "url": "https://www.businessinsider.com/pitch-deck-ai-agent-startup-onyx-seed-round-2025-3",
        "date": "Mar 18, 2025"
      },
      {
        "title": "Onyx Raises $10M To Help Teams Find Knowledge Faster with Open Source AI Agents",
        "url": "https://finance.yahoo.com/news/onyx-raises-10m-help-teams-165500715.html?guccounter=1",
        "date": "Mar 12, 2025"
      },
      {
        "title": "Why Onyx thinks its open source solution will win enterprise search | TechCrunch",
        "url": "https://techcrunch.com/2025/03/12/why-onyx-thinks-its-open-source-solution-will-win-enterprise-search/",
        "date": "Mar 12, 2025"
      }
    ],
    "launches": [
      {
        "id": 77913,
        "title": "Onyx - Open Source Unified Search",
        "tagline": "Connect to all your team’s tools (like Confluence, Google Drive, Slack, Notion, etc.) for a single place to Search and Chat with your team’s documents",
        "body": "**TL;DR**: Imagine a secure ChatGPT with access to your team’s specific knowledge. As modern teams grow, knowledge becomes dispersed and hard to find. By giving Large Language Models access to parse your knowledge base, [Onyx](https://onyx.app/) can instantly filter through millions of documents to only surface what is relevant.\n\n**Try for Free Here:** [**https://cloud.onyx.app/**](https://cloud.onyx.app/)\n\n**Get Started On-Prem:** [**https://docs.onyx.app/quickstart**](https://docs.onyx.app/quickstart)\n\n![uploaded image](/media/?type=post&id=77913&key=user_uploads/1493761/4c37d5b8-5919-4dab-8d27-c2aa2af46a23)\n\nWe’ve seen teams use Onyx to improve efficiencies from:\n\n* Improving turnaround times for **support** by reducing the time taken to find relevant documentation.\n* Helping **sales teams** get customer context instantly by combing through calls and notes.\n* Preventing lost **engineering** time to answering cross-team questions, building duplicate features due to the inability to surface old tickets or code merges, and helping **on-call** resolve critical issues faster by providing the complete history of an error in one place\n* Self-serving **onboarding** for new members who don’t know where to find information.\n\n### Our Differentiation:\n\nOnyx is [open source](https://github.com/danswer-ai/danswer). You have complete transparency into what is going on with your team’s documents. The deployment of Onyx and your data are completely in your control (we do also offer a [Cloud](https://www.danswer.ai/) version if you prefer being hands-off). You can hook Onyx up with any LLM of your choice or one in-house if you prefer.\n\nOnyx uses the latest methods in information retrieval to make the most of the revolution that is happening in the natural language processing space. Specifically, we use prefix-aware embedding models trained with contrastive loss + BM25 Hybrid Search with reranking options and additional pipeline improvements such as query expansion etc.\n\nYou can also use Onyx to directly get answers in Slack (MS Teams, Discord to come). Many teams have been using this to auto-answer cross-team questions.\n\n![uploaded image](/media/?type=post&id=77913&key=user_uploads/1493761/6813b7f1-9fed-4778-9874-52de4a20bef2)\n\n### Our Ask/Offer:\n\nReach out to us if you’re interested in using Onyx, you can schedule a call with us on [Cal](https://cal.com/team/danswer/founders). Alternatively, you can join our Slack [here](https://join.slack.com/t/onyx-dot-app/shared_invite/zt-2sslpdbyq-iIbTaNIVPBw_i_4vrujLYQ) — we’d love to hear from you!\n\nWe’re already deployed at some outstanding teams and we’re looking to accelerate. If you’re open to closing a deal with us quickly, we can offer you some significant discounts.",
        "url": "https://www.ycombinator.com/launches/KGf-onyx-open-source-unified-search",
        "votes": 69,
        "created_at": "2024-01-29T15:27:24.837Z"
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    "id": 29178,
    "name": "Lantern",
    "slug": "lantern-2",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lantern is the easiest way to build AI applications using Postgres.\r\n\r\nWe started Lantern because we believe AI is going to impact every single enterprise in every single industry. We want to allow every company to tap into their unstructured data to build better applications.\r\n\r\nWith Lantern Cloud, developers have access to everything they need to build an AI application: embedding generation, vector compression, vector search, efficient indexing, and more. All on top of the database they already know, Postgres, and using infrastructure that scales to billions.\r\n\r\nCheck out our code on Github: https://github.com/lanterndata/lantern",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690583353,
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    "url": "https://www.ycombinator.com/companies/lantern-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/lantern-2.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98218505",
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      "name": "Gustaf Alstromer",
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        "user_id": 343105,
        "full_name": "Di Qi",
        "title": "Founder",
        "founder_bio": "I'm working on Lantern. We're building the best platform to develop AI applications. Before Lantern, I worked at Y Combinator, on my own startups, and at Facebook. I studied computer science at Princeton, and grew up in Americus, Georgia.",
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      {
        "user_id": 1518897,
        "full_name": "Narek Galstyan",
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        "title": "YC’s latest Demo Day shows fascinating wagers on healthcare, chip design, AI and more | TechCrunch",
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        "title": "Lantern - Postgres vector database 🏮",
        "tagline": "Lantern is a Postgres vector database that is scalable, cost-effective, and easy to use",
        "body": "Hi! We’re Di and Narek. We’re building [Lantern](https://lantern.dev).\n\n## About Lantern\n\nLantern is a Postgres vector database that is easy to use, cost-effective, and scales to billions.\n\nAnyone using a standalone vector database such as Pinecone has to maintain a separate database for their other application needs. This adds complexity. With Lantern, you can run vector search in the database you already know and love, Postgres. In addition, Lantern is [orders](https://lantern.dev/pricing) of magnitude cheaper than Pinecone.\n\nWe recently released [product quantization](https://lantern.dev/blog/pq). This enables index compression so the index can use up to 90% less memory and cost an additional 90% less!\n\nWe support [embedding generation](https://lantern.dev/docs/develop/generate) with Open AI, Cohere, and open-source embedding models inside the database for one-off queries. For bulk transactions and managed columns, we support generating up to 2 million embeddings per hour.\n\n![uploaded image](/media/?type=post&id=79083&key=user_uploads/343105/9ef30a0c-40fe-4de5-b6e7-a64c313ed329)\n\nWe also support [external index creation](https://lantern.dev/blog/hnsw-index-creation), which offloads index creation to external machines to avoid expensive index creation processes causing downtime in production databases.\n\n## Get Started\n\nThe easiest way to get started is with [Lantern Cloud](https://lantern.dev), our managed Postgres service. To self-host or explore our source code, check out our [GitHub repo](http://github.com/lanterndata/lantern).\n\nIf you are currently using another vector database provider or another Postgres provider, we have tools to make migration seamless.\n\nWe have multiple customers using Lantern in production, and we’d love to have you give us a try too! We’re happy to answer any questions or help you get set up - reach out at [support@lantern.dev](mailto:support@lantern.dev) or on X at [@diqitally](https://twitter.com/diqitally).\n\n![](https://lh7-us.googleusercontent.com/olpVbw9LdPqQvlae8m2tpV7bEcDzlwVIuv0laDX55L0r130wsYWkV-lGIcsCletv4I6zgYADCQ_sHmjWtMNZNpJlUkM_g7Z6TpkZJtCO54acRTUMNAyTuPF4HQfT9Na2YWXWzWx19l4_jl5zNikU-bE)\n\n## About Us\n\nBefore Lantern, [Narek](https://linkedin.com/in/ngalstyan) was a PhD student in distributed systems at Berkeley and worked at Timescale, a billion-dollar Postgres company. [Di](https://www.linkedin.com/in/di-qi/) worked at Y Combinator as a software engineer, co-founded a YC-backed 15-minute delivery startup, and worked at Facebook Ads Ranking.",
        "url": "https://www.ycombinator.com/launches/KZX-lantern-postgres-vector-database",
        "votes": 49,
        "created_at": "2024-03-05T21:29:57.288Z"
      }
    ]
  },
  {
    "id": 29179,
    "name": "Driver",
    "slug": "driver",
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      "Driver AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/503cbea2a9e54ae2d0485232ac46582c406b25b7.png",
    "website": "https://www.driver.ai/",
    "all_locations": "Austin, TX, USA",
    "long_description": "Driver is the context layer that translates your codebase into shared, structured understanding. By computing context ahead of time, Driver delivers symbol‑complete documentation, architecture maps, and history guides so teams and agents can reason across an entire codebase without guesswork.",
    "one_liner": "Context for Codebases",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1706885806,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": [
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Innovators will make the world better, faster. People will attend fewer meetings. Documenting codebases will be quick and enjoyable. Companies will reallocate millions of tech discovery budget to building new things. Our kids won’t believe us when we tell them we once spent months getting up to speed on software we didn’t write."
      }
    ],
    "url": "https://www.ycombinator.com/companies/driver",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/driver.json",
    "year_founded": 2023,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/driver-ai",
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    "cb_url": "https://www.crunchbase.com/organization/driver-ai",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 342500,
        "full_name": "Adam Tilton",
        "title": "Founder",
        "founder_bio": "Adam was the co-founder of Aktive, an embedded machine learning development platform that he sold to Nike in 2019, and Rithmio, which he sold to Bosch Sensortec in 2017 (part of the the BHI260AP). Adam did his B.S., M.S., and Ph.D. (abd) at the University of Illinois in Urbana Champaign in Mechanical Engineering, Computer Science, and Control and Estimation, respectively.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adamktilton/",
        "x_url": "https://twitter.com/adamtilton?lang=en",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7dc752ac1341b8c0e602e044d7bc45b120a442d1.jpg"
      },
      {
        "user_id": 1522141,
        "full_name": "Daniel Hensley",
        "title": "Founder",
        "founder_bio": "Daniel was co-founder and Head of Engineering at Infinity AI. Before that, he helped run the boutique software engineering firm Edge Analytics. In 2017, Daniel completed a PhD at UC Berkeley, developing methods for Magnetic Particle Imaging. He then led software engineering at Magnetic Insight, a startup he and others spun out of Berkeley to commercialize this technology.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/daniel-hensley",
        "x_url": "https://twitter.com/dw_hensley",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c17cdff0ceda701bed4df1fcb08513449f58c99b.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Driver launches an AI-powered platform for creating technical documentation | TechCrunch",
        "url": "https://techcrunch.com/2024/10/08/driver-launches-an-ai-powered-platform-for-creating-technical-documentation/",
        "date": "Oct 08, 2024"
      }
    ],
    "launches": [
      {
        "id": 99369,
        "title": "Driver:  Context for Codebases",
        "tagline": " Translate your codebase into shared, structured understanding (for humans and AI.)",
        "body": "**The gist:** [Driver](https://www.driverai.com/) uses a compiler-inspired system to pre-compute exhaustive understanding of your codebases and serve it to AI coding agents via MCP. With Driver's content, Cursor, Claude Code, and Copilot never get lost or go down the wrong rabbit holes enabling you to build fearlessly at scale.\n\n> _\"We spend a ton of time on the planning and research phase of our agentic SDLC — Driver is where the real value is for us. It's helping our engineers dramatically on story tasking alone, and it's literally going viral inside our company. I have to tell my engineers to hold on while we get everything set up.\"_ — CTO, Leading E-commerce Fulfillment Platform\n\n---\n\nHi everyone, we're [Adam](https://www.linkedin.com/in/adamktilton/) and [Daniel](https://linkedin.com/in/daniel-hensley). We launched Driver on Bookface two years ago as a documentation tool. A lot has changed.\n\n## What actually happened in two years\n\nWe started by building a system to produces accurate, symbol-complete documentation. It became the source of truth for our customers across their engineering orgs.\n\nThis evolved quickly into AI agents reading the docs. Customers began checking our docs directly into their repos as markdown files making them available to Cursor and Claude Code.\n\nThe shift to context for agents unlocked value at a much larger scale: their agents could successfully complete tasks that they had previously failed at.\n\nWe hadn't built a documentation tool. We'd built the context layer.\n\n---\n\n## The problem\n\nAI agents fail on real codebases without context.\n\nAsk an agent to work in a 20M line repo. It iterates with grep, ls, repeated searches. It takes forever, is incomplete, and is wildly non-deterministic. That translates to frequent hallucinations, low trust, and outright task failure.\n\nTeams try to fix this with bigger context windows (doesn't scale), RAG methods (non-exhaustive, semantic limitations, poor scaling), or manual context gathering (burns hours per engineer per week, inconsistent and unmaintainable at scale). None of them work.\n\nWe took a different approach: pre-compute exhaustive understanding ahead of time, make this fully automated and always up-to-date, then serve it to agents through MCP.\n\n> \\_\"The better the documentation, the better the agent. Your context is better than anything else on the market.\"\\_— VP Engineering, Leading Financial Software Provider\n\n---\n\n## How it works\n\nAt the core is our Transpiler: an exhaustive compiler-inspired system combining static analysis with LLM generation. It produces:\n\n1. Symbol-complete documentation for every file\n2. Architecture overviews to guide agents and plan\n3. Dependency maps for reviews\n4. Commit-complete changelogs\n\nWe also build runtime sub-agents optimized to shape pre-computed context to the perfect package for a runtime task: _Joint_ optimization between compile-time and runtime.\n\nEvery file visited, every symbol documented, relationships preserved. All kept current automatically as code changes.\n\nWe expose this compiled output through carefully designed interface primitives callable via MCP or API.\n\n> _\"I refactored the entire 1M line codebase with Driver and Cursor and I have no idea what it does. And with Driver, have no need to. The first thing I do is ask Cursor to research with Driver's MCP.\"_ — Head of Data Engineering, Global Trading Firm\n\n---\n\n## Traction\n\nWe've deployed across **25+ enterprise customers**, including high-frequency trading firms and Fortune 500 companies, processing **over 200 million lines of code** in the last six months.\n\n---\n\n## Security\n\nSOC 2 Type II certified. Multi-tenant SaaS, single-tenant VPC, self-hosted options, and GovCloud available.\n\n---\n\n## How to get started\n\n1. **Connect your SCM:** Link Driver to GitHub, GitLab, Bitbucket or any other SCM system to ingest codebases and create context.\n2. **IdP & SSO:** Set up SSO, enable SCIM, and map IdP groups to Driver teams to provide access to context for your organization.\n3. **Integrate Context Anywhere:** User-authenticated access via MCP server for interactive agents, M2M authentication for headless agents, and REST API for server-side access.\n\n## Our Ask\n\nTry it on your codebase at [driver.ai](http://driver.ai) \n\n* **Large codebase and using Cursor/Claude Code?** We'll set up MCP tools and you'll see the difference in a day.\n* **Enterprise with dozens of internal systems?** We process all of them. Your agents get cross-repo context.\n* **Onboarding engineers to legacy code?** Architecture knowledge stops living in one person's head.\n\n> _\"Within five hours, I built a functioning prototype that touched almost every area of our back end. It was supposed to take six weeks.\"_ — Director of Product, Leading Payments Platform",
        "url": "https://www.ycombinator.com/launches/Pqj-driver-context-for-codebases",
        "votes": 8,
        "created_at": "2026-04-06T16:19:29.885Z"
      },
      {
        "id": 78100,
        "title": "Driver AI: Understand millions of lines of code in minutes",
        "tagline": "We help teams understand their business-critical systems at a fraction of the time and cost",
        "body": "**The gist: **[**Driver AI**](https://www.driverai.com/)** is a tool that explains millions of lines of code in minutes instead of months. When you need to do technical discovery, you can use Driver AI’s interactive documentation to understand complex codebases at a fraction of the time and cost.**\n[ ](https://youtu.be/-L3gFO6k5lA?feature=shared)\n**—**\n\n**The Problem We Got Sick Of**\n\nHi everyone, we’re [Adam](https://www.linkedin.com/in/adamktilton/) and [Daniel](https://linkedin.com/in/daniel-hensley). We’ve spent our careers navigating complex codebases that had little to no documentation and, when it did, often written by engineers no longer with the company. Technical discovery has not only been maddening for us as engineers but also expensive and time-consuming for the business.\\\n\\\nIt costs teams roughly $500,000 and three months of discovery to unpack **one codebase**. Multiply that by the number of applications in an organization and you're looking at years of discovery and millions of dollars. Companies can’t invest that much into fully comprehending their existing technology stack, so they either abandon critical projects or the technical debt just keeps piling up.\n\n\\\n**How We’re Fixing It**\n\nDriver AI is a tool that uses LLMs to help teams quickly understand their business-critical systems. We use a simple three-step process:\n\n1. **Comprehend:** We ingest your existing codebases, organize them within our platform, and generate internal documentation at various levels of abstraction with LLMs. Our platform comprehends code regardless of language, age, or framework.\n\n   ![uploaded image](/media/?type=post&id=78100&key=user_uploads/342500/adb74cfd-ec9b-4328-90b9-b32095fa0c8e)\n\n2. **Explain:** Next, we provide interactive documentation that explains the capabilities of your codebases and how those capabilities are delivered. This documentation is written at the executive, business, and technical levels so anyone in the organization can understand it.\n\n   ![uploaded image](/media/?type=post&id=78100&key=user_uploads/342500/e3482466-ce38-44fe-a919-b88190999a99)\n\n3. **Accelerate Delivery:** Now that we’ve slashed the technical discovery process from months to days, you can deliver projects more quickly. Fueled by the context we provide, you can also make better-informed decisions about what to do next, including giving these explanations to LLMs and asking them to do things for you.\n\n   ![uploaded image](/media/?type=post&id=78100&key=user_uploads/342500/ea7b1c0e-268e-465b-838b-6f7593901523)\n\n\n### \n\n\\\n**Why This is Personal**\n\nWe’ve been building companies and software at the intersection of signal processing and machine learning for over a decade. Our third co-founder, Jimmy, has led finance and operations for some of the most successful technology companies in the world, from large global leaders to high-growth start-ups.\n\nAfter selling his last company, Adam led various software efforts in innovation at Nike. But he kept encountering the same problem: Nothing new could be built without a long and very expensive tech discovery process. It was maddening. He soon discovered this problem was everywhere—from enterprise IT to embedded software development teams—and with Jimmy and Daniel built Driver AI to fix it.\n\n\\\n**Our Ask**\n\nEmail [**adam.tilton@driverai.com**](mailto:adam.tilton@driverai.com) to try Driver AI and tell us what you think.\n\n* **Integrated Device Manufacturer?** Driver AI will consume HDL files, BSPs, and architecture documents to explain exactly how things work for your customers. You will win more sockets!\n* **Embedded engineer?** Driver AI will reference code, manuals, and specifications to create detailed notes on how to build applications. You will ship high-quality code faster!\n* **Enterprise IT leader?** Driver AI will consume thousands of internal codebases, summarize capabilities, and provide detailed documentation on how everything works. You will know what your code does!\n* **Consulting shop?** Driver AI will consume your client’s custom black box code and explain how it works and how to integrate with it. You will deliver value faster!",
        "url": "https://www.ycombinator.com/launches/KJg-driver-ai-understand-millions-of-lines-of-code-in-minutes",
        "votes": 26,
        "created_at": "2024-02-02T16:59:49.484Z"
      }
    ]
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  {
    "id": 29180,
    "name": "Gumloop",
    "slug": "gumloop",
    "former_names": [
      "AgentHub"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3eebd709f02fd63448eb63570e4c5981fbd6651a.png",
    "website": "https://www.gumloop.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Gumloop is the multiplayer AI agent builder. Let anyone at your company build agents with any AI model and any integration, while IT controls access and spend.\r\n\r\nAgents reflect on their own runs and improve over time, drawing on one shared company brain: your internal knowledge, the skills your team runs on, and live context from every tool you use.\r\n\r\nDisclaimer: Gumloop is not a visual workflow builder. It is an agent builder. ",
    "one_liner": "The multiplayer AI agent builder. Let anyone build, IT controls access",
    "team_size": 44,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690004343,
    "tags": [
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/gumloop",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/gumloop.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gumloop/",
    "x_url": "https://twitter.com/gumloop",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/gumloop",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3eebd709f02fd63448eb63570e4c5981fbd6651a.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1844314,
        "full_name": "Max Brodeur-Urbas",
        "title": "Founder",
        "founder_bio": "gumlooping\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/max-brodeur-urbas-1a4b25172",
        "x_url": "https://twitter.com/MaxBrodeurUrbas",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/354f2f0594368b2cfe8a3644419a0a1441dc119f.jpg"
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    "jobs": [],
    "news": [
      {
        "title": "Building AI Agents for Everyone",
        "url": "https://www.youtube.com/watch?v=kDLji2s7LV4",
        "date": "Oct 02, 2026"
      },
      {
        "title": "Gumloop lands $50M from Benchmark to turn every employee into an AI agent builder | TechCrunch",
        "url": "https://techcrunch.com/2026/03/12/gumloop-lands-50m-from-benchmark-to-turn-every-employee-into-an-ai-agent-builder/",
        "date": "Mar 12, 2026"
      },
      {
        "title": "Gumloop, founded in a bedroom in Vancouver, lets users automate tasks with drag-and-drop modules | TechCrunch",
        "url": "https://techcrunch.com/2025/01/10/gumloop-founded-in-a-bedroom-in-vancouver-lets-users-automate-tasks-with-drag-and-drop-modules/",
        "date": "Jan 10, 2025"
      },
      {
        "title": "Gumloop's $17m Series A",
        "url": "https://blog.gumloop.com/gumloops-17m-series-a/",
        "date": "Jan 10, 2025"
      },
      {
        "title": "Announcing our $3.1M Seed Round Led by First Round",
        "url": "https://blog.gumloop.com/seed-round/",
        "date": "Jul 23, 2024"
      }
    ],
    "launches": [
      {
        "id": 75408,
        "title": "AgentHub 🤖: Automate any workflow with AI",
        "tagline": "Automate even the most niche or complex flows with a no-code visual builder. ",
        "body": "**📝TL;DR:**\n\n* 🛠️ Use a **drag-and-drop workflow builder** to automate complex workflows with AI\n* **🔗 Integrations** with GitHub, GMail, Outlook, Twitter, etc.\n* Try [AgentHub](https://agenthub.dev/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) **for free** using [45+ ready-to-run automations](https://www.agenthub.dev/templates?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) or build your own automations for Software Development, Sales/CRM, Media/News, HR & Hiring, Administration, Financial Analysis, and more\n\nHey everyone! We’re Max and Rahul from AgentHub. After experiencing the shortcomings of autonomous AI agents, we’ve been on a mission to make AI powered automations cost-effective, reliable and intuitive for anyone to build.\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1018752/14e5b30d-5e4b-42df-9482-1c37ab1cbd36)\n\n### **What We've Built 🏗️**\n\nAgentHub is a platform that lets builders drag, drop, and connect **modular components** onto a canvas to **automate manual and repetitive employee workflows** end-to-end.\n\nThe platform gives builders the tools and infra to operate at 10x the speed of writing, testing, and productionizing code.\n\n#### **Drag & Drop**\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1018752/4fe66eea-10a0-4914-8c77-eb7cace1dc16)\n\n#### **Link**\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1018752/3b714c52-cfdc-4fe7-897e-15577ab39c2b)\n\n#### **Run**\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1018752/7cc0b737-faea-49bf-880f-3307601396f1)\n\nTry out some of our prebuilt automations for inspiration:\n\n* [GitHub PR Description Inserter:](https://www.agenthub.dev/templates/software_development/github_pr_description_inserter?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) Reads all the changes in your pull-request and adds a point form description in seconds.\n* [Multi-Article Summarizer:](https://www.agenthub.dev/templates/media_news/multi_article_summarizer?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) Summarize any number of articles (or websites) for news or lead aggregation.\n* [Hiring Candidate Ranking System:](https://www.agenthub.dev/templates/education/automated_grading_system?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) Ranks candidate resumes based on custom criteria and various factors like qualifications, skills, etc.\n* [Daily Stock Report Generation:](https://www.agenthub.dev/templates/financial_analysis/daily_stock_report_generation?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) Generate a 1-page PDF report on the recent trends of specified stock tickers\n\n### **Why We Built It**\n\nMost companies have **extremely manual tasks** that employees do **hundreds or thousands of times per month**. These tasks were hard to automate with traditional automation tools because they required some degree of **human reasoning**.\n\nLLMs exposed reasoning via an API, so AgentHub was created as an **AI-first platform** that doesn't aim to simply streamline an employee's workflow, but can **completely replace it end-to-end**.\n\nThe flexibility of our automation builder allows for extremely complex workflows to be automated. **If Zapier were a calculator, we would be WolframAlpha.**\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1522221/c00a27cc-ea22-4412-9dea-4691f906d330)\n\n### **How We Started 🌱**\n\nAgentHub started as a UI wrapper for **Auto-GPT**. We quickly realized that people were using the platform to try and automate incredibly niche/complex tasks but **autonomous agents were simply too unreliable and expensive**. Our key insight was that when automating these types of workflows, you really want to **minimize the use of AI**, and keep it to just the core reasoning component of the workflow.\n\n**AgentHub automations are generally 90% infrastructure and 10% AI** resulting in increased consistency and reliability, while being economically efficient at scale.\n\n### **Need More Integrations? 🔗**\n\nWe are constantly working to add more integrations and operations to the platform. [Request a custom integration here!](https://www.agenthub.dev/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc#request-automation)\n\n### **Our Ask 🙏**\n\n* Try [AgentHub](https://agenthub.dev/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) **for free** using [45+ ready-to-run automations](https://www.agenthub.dev/templates?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) or build your own automations for Software Development, Sales/CRM, Media/News, HR & Hiring, Administration, Financial Analysis, and more!\n* Email [feedback@agenthub.dev](mailto:feedback@agenthub.dev) with any general feedback, questions, concerns\n* Booking a [meeting with me](https://calendar.app.google/D86FBXL87wofkpV46) for a demo, building a custom solution for your business, or any feedback on the product!",
        "url": "https://www.ycombinator.com/launches/JcG-agenthub-automate-any-workflow-with-ai",
        "votes": 199,
        "created_at": "2023-10-06T14:15:30.970Z"
      }
    ]
  },
  {
    "id": 29182,
    "name": "Upsolve AI",
    "slug": "upsolve-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/584af51898d885eead8c1806789fece6d7acaff0.png",
    "website": "https://upsolve.ai/",
    "all_locations": "",
    "long_description": "Upsolve AI is the analytics platform for deploying governed, grounded, and trustworthy data agents that know your business. Data teams use Upsolve's Agent Studio to get to AI-ready data foundations fast, unify and curate their context layer, and test, tune and monitor their Upsolve Data Agent to their benchmark. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-figures of annual revenue in 2 years.",
    "one_liner": "Deploy trustworthy data agent that know your business",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1699320905,
    "tags": [
      "Developer Tools",
      "B2B",
      "Analytics",
      "Big Data",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/upsolve-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/upsolve-ai.json",
    "year_founded": 2023,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/upsolveai/",
    "x_url": "https://twitter.com/upsolveai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/upsolve",
    "github_url": "https://github.com/Upsolve-Labs",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/584af51898d885eead8c1806789fece6d7acaff0.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8520ddb8ea8808309507e6ff159f839196c763ad.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/63794cc5bc71db0bf1dfd06e2668f1a57cc9124b.png"
    ],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1148602,
        "full_name": "Ka Ling Wu",
        "title": "Founder/CEO",
        "founder_bio": "Ka Ling is the Co-founder & CEO of Upsolve AI. Before Upsolve, Ka Ling led product solution development at nPlan, a Series A AI & Construction tech startup, focusing on client expansion. Before her stint at nPlan, she spent four years at Palantir where her responsibilities ranged from managing client engagements and stakeholder relationships to spearheading the creation of Palantir's HyperAuto product from inception to market launch. Ka Ling also opened the Korea market for Palantir.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/wukaling",
        "x_url": "https://twitter.com/wukaling",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a56f1c05e4d305eeb28f12bb95741cf59c9dec6.jpg"
      },
      {
        "user_id": 1428286,
        "full_name": "Serguei Balanovich",
        "title": "Founder/CTO",
        "founder_bio": "Serguei is the Co-founder & CTO of Upsolve. Before Upsolve, Serguei spent seven years at Palantir where he pioneered early Supply Chain and Manufacturing commercial work, and later productized this work into Palantir HyperAuto. Serguei also worked on Palantir Apollo as a dev lead.\nOutside of software, Serguei loves puzzles, board games, and teaching.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sbalanovich",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f20a55a213817c73876806b91859ec208286d118.jpg"
      }
    ],
    "jobs": [
      {
        "id": 82224,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/upsolve-ai/jobs/WCoJcdG-founding-ai-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£100K - £140K GBP",
        "equity_range": "1.00% - 3.00%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Here's the pitch deck that secured $1.5 million from Hubspot",
        "url": "https://www.smartcompany.com.au/exclusive/pitch-deck-upsolve-ai-secured-1-5-million-hubspot/",
        "date": "Sep 18, 2024"
      }
    ],
    "launches": [
      {
        "id": 103717,
        "title": "🐳 Upsolve AI - Agent Studio for Data Team",
        "tagline": "Deploy trustworthy and governed analytics agent that know your business and data.",
        "body": "**🏆 TL;DR:** Upsolve AI is context infrastructure for analytics agents. We help data teams ship analytics agents that non-technical users actually trust. Agents that pull the _right_ numbers and explain them in your business's context, not just generate plausible SQL. If you've ever tried to put an analytics agent in front of your team and quietly killed it after it gave two different answers to the same question, this is for you.\n\n<https://youtu.be/2bXZb6D-cNA>\n\n## ❌ **The Problem**\n\n\"Let's just build an analytics agent.\" Every data team drowning in requests has this thought. The beta feels like magic until a non-technical user asks the same question three times and gets two different answers. Trust dies. The project quietly joins the 95% of AI POCs that never reach production.\n\nYou already know it's not the model, GPT and Claude write fine SQL. The model just has no idea how _your_ business works:\n\n* **Governance and permission can't live in a prompt.** You can't trust an LLM to implement row- and column-level access or enforce who sees what. Without governance that an agent can't override, you can't put it in front of anyone outside the data team.\n* **It pulls the wrong data and joins the wrong tables.** “gross_revenue” vs “net_revenue”, “customers” vs “users”. A semantic layer problem dressed up as a text-to-SQL one.\n* **Technically correct, practically wrong.** Your fiscal year ends in March, not December. The number is \"correct\" and still useless.\n* **Your semantic layer and context goes stale.** \"User\" got redefined twice since you scoped the project. Your semantic layer and context didn't keep up.\n* **No observability, no improvement.** If you can't trace and root-cause a bad answer, you can't improve it.\n\nThese aren't LLM model problems. They're context problems, and context lives in docs, Slack threads, validated SQL from 2021, and your analysts' heads. No amount of SQL generation skill recovers it.\n\n## ⚒️ What Agent Studio gives you\n\nA builder surface to encode context across three layers: **Structure** (schema, lineage, semantic model), **Meaning** (metrics, KPIs, business rules), and **Trust** (verified answers, usage signals, golden sets), then deploy and tune against it:\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/44acebc6-4f8c-4fb2-86e0-cc9959bbd2df)\n\n* **Software-defined, granular permissioning** baked into the data model, enforced beneath the agent.\n* **A self-updating context layer** that captures institutional knowledge across your files and systems, so metric redefinitions and new launches don't silently break answers.\n* **End-to-end tracing, an eval harness, and a staging sandbox**. Golden query sets and LLM-as-judge scoring before a single user sees an answer, plus prompt and SQL provenance for every response in production.\n* **A compounding accuracy loop**. Wrong answers and poor behavior get flagged from real conversations and fed back, so the agent gets _more_ trustworthy over time.\n\n**End result:** No existing semantic model required to start. Your team deploys analytics agents they don't have to babysit, and your non-technical users get answers they trust, wherever they already work (Slack, your product, internal portal, or any MCP surface).\n\nTeams hit production-grade eval accuracy, clear 60–80% of their ad-hoc backlog in 7 days, and move stakeholders from a 3–5 day queue to answers in seconds.\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/79a3a29c-482f-4119-92f5-38612bd34bdb)\n\n## 🤝 Why trust us\n\nWe’re already in production with Fortune 500 users, 100+ person BI teams, and growth-stage companies. We are the team that built HyperAuto at Palantir, and encoding messy institutional context into systems is the problem we've spent years on.\n\n## 🙏 Our ask\n\nThis is for you if you own a data or BI function and you're either:\n\n* Drowning in ad-hoc requests, where **repeat questions eat your analysts' week** and a generic GPT-on-the-warehouse attempt already fizzled, or\n* A **B2B SaaS team whose customers keep asking for deeper analytics and insights** and you don't want to spend two quarters of engineering effort building it.\n\nIf you're a Head of Data, BI lead, analytics engineer, or VP Product who lives this, [**book a demo here**](https://calendly.com/kaling-aqk/upsolve-initial-exploration) or reach me directly at [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai). We'll stand up a POC against your real data warehouse, not a sandbox.",
        "url": "https://www.ycombinator.com/launches/Qyr-upsolve-ai-agent-studio-for-data-team",
        "votes": 14,
        "created_at": "2026-06-23T03:55:11.309Z"
      },
      {
        "id": 89121,
        "title": "🐳 Upsolve AI - Embed GenBI in Your App",
        "tagline": "Spoil your users with hyper-personalized customer-facing analytics and insights that adapt on demand and “Just-Works”.",
        "body": "# 🏆 **TL;DR**\n\nGeneric dashboards in SAAS platform suck. Some might even say they’re dead.\n\nBut nearly all SaaS apps need a dashboard to show proof of value to stakeholders. With [Upsolve AI](https://upsolve.ai/), delight your end users with customer-facing analytics that “Just Works”, Make them want to use the analytics and love your product more.\n\nOnce you Upsolve your platform with our GenBI solution, your end users get to access adaptive and hyper-personalized analytics simply by telling your platform their persona and what kind of KPIs they care the most. They can easily drill down into the data at the speed of thought via natural language prompting. Our AI also interprets the data and provides guided insights, shedding light on what matters the most. Our AI can then investigate the data further, provide additional insights to optimize decision making.\n\n# **🤨 Problem - Generic Dashboards in SaaS apps suck.**\n\n🗺️ Can you imagine planning a cross-continent trip with nothing but a paper map?\n\n⁉️ \"Duh.\" Of course not.\n\n😵‍💫 Yet this is precisely what SaaS users endure with traditional dashboards every day. They're like paper maps showing only major highways and cities—filled with generic metrics and charts that, for the most part, have zero relevance to your customer’s unique destination.\n\n**Users get no value out of generic dashboards.** CFO, Regional directors and store managers stare at identical metrics in your expensive SaaS platform that took months to implement. Both search for answers to different questions to achieve different objectives. Both get lost. Their mission controls shouldn’t look the same.\n\n**Your teams feel this pain too.** They’ve heard “can you get this chart for me?” from their end users way too many times. Visionaries become data query processors right when product innovation matters most. You end up building the infamous “Download CSV” button in your product or exposing an API to allow your customer to extract a data cut. As a result, you lose in-product user engagement prematurely.\n\n**Dashboards should give the end user that “it gets me” feeling without the overhead.** It should create moments of delight and clarity that elevate decision-making from burden to superpower. It should be part of the reason your customers choose your product. It should turn your customers into your advocates.\n\n# **💡 Solution - With Upsolve AI, you demonstrate and enhance your value to customers**\n\nIn a world of paper-map dashboards, Upsolve delivers the magic of Modern Map Apps for your customers' data to your end users. Give each end-user intelligent dashboards tailored to their goals and objectives, real-time alerts, and highlighting trends and insights worth doing something about— an all-in-one experience that transforms static metrics into operational brilliance. [Watch the demo video below](https://youtu.be/K6GiczydAQI):\n\nWe’re ready to power your customer-facing analytics and give your users those “aha!” moments with our AI features below:\n\n1. **AI Report Generator: Adaptive, Hyper-personalized Analytics and Dashboard** 🪄\\\n   Give every end user that bespoke experience they deserve. Upsolve’s next-gen dashboard spins up analytics and interfaces dynamically based on user’s unique role, surfacing precisely the KPIs that drive decisions, at the right time.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/9fb2c6dd-b242-44fd-9995-6aba0933bdb2)\n\n2. **AI Drill Down: Natural Language Slice & Dice**\\\n   Built to make data-driven decision more accessible to less tech-savvy users. Applying 5 filters? Text to SQL? Skip these all together. Let you users query in natural language and watch the magic happen at the speed of thought.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/6fe57514-06d4-44d2-b1ff-4d78ec735a1e)\n\n3. **AI-Guided Insights: Interpretation**\\\n   An AI that picks up the signs for you 🎏 Upsolve flags important data signals and anomalies and push alerts to the user automatically, with no need to set up any automations up front.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/c946ad6b-36bc-4f63-bfb7-e732ede6178b)\n\n4. **AI-powered Investigation: Great analysts identify what users DIDN’T ask for but what they actually need**\\\n   Upsolve connects the dots, spots the trends, and asks questions you didn’t even think of to get the big “whys” answered. Guide your team’s decisions with AI-powered nudges.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/26a6d178-c603-4cc0-aeab-0df6614289a0)\n\n\nGive your users a dashboard, along with a customer success manager, AND a data analyst that proactively provides intelligence without them asking. That’s Upsolve AI, the all-in-one data experience your customers deserve, without you lifting a finger.\n\n# **🙏 Ask**\n\nTempted to Upsolve your product and embed GenBI in your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us today or reach us at kaling.wu@upsolve.ai!\n\n![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/2c9606ff-c549-4c9d-a83d-15ec22fb82ce)\n\n",
        "url": "https://www.ycombinator.com/launches/NBR-upsolve-ai-embed-genbi-in-your-app",
        "votes": 45,
        "created_at": "2025-03-31T15:41:46.714Z"
      },
      {
        "id": 84312,
        "title": "🐳 Upsolve AI - Embedded Business Intelligence (BI)",
        "tagline": "Allow yours users to build and customize their dashboards and reports within your platform.",
        "body": "🏆 **TLDR**\\\n[Upsolve AI](https://upsolve.ai/) allows you to build and deliver customer-facing analytics to your end-users via an embeddable dashboard.\n\nWe’ve just released our newest feature: **Personal Workspace for dashboards. This allows your end users to build their own dashboards and reports within your product.** Your users no longer need to wait for your customer success manager or product team to get the metrics or reports they need! 📈\n\nSome examples of how our customers enable their end users with this Upsolve feature:\n\n* An expense management platform allows their end users to build out customized receipt audit reports\n* An AI observability platform enables their solution engineers and enterprise customers to build tailored observability metrics report\n* A supply chain risk management platform empowers their Fortune 500 customers to build out targeted supply chain visibility dashboard\n\n**🤨 Problem**\\\nMost B2B SaaS companies need to build dashboards. [**A true dashboard communicates your product value to all stakeholders of your customers, even — and especially — those who never use the app.**](https://www.saastr.com/want-go-upmarket-need-great-dashboard/) This is especially true for enterprise software.\n\nHowever, most, if not all, traditional dashboards failed to achieve this. Traditional dashboards are highly restrictive. Customers cannot customize the dashboard to fully understand their unique state of the world. This leads to frequent ad-hoc data cuts and reporting requests, causing operational friction with your customer support, product, and engineering teams. What’s worse, this means your users can’t get their questions answered right away, resulting in a subpar product experience.\n\n**💡 Solution - Personal Dashboard Workspace**\\\n“Upsolve your product” by embedding our component in your product. Your users gain the superpower to build out their own version of dashboards, either by building them from a blank canvas or by modifying the dashboard template you ship out. [Watch the demo below](https://youtu.be/hj7VJSC_LyU?feature=shared):\n\n1. Chart Explorer:\\\n   Your end users will now have access to all the verified/published charts your organization has provided. This means you can produce dozens of charts but leave it up to your end users to choose which of these charts they actually care to see and in which positions on their dashboard.\n\n   ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/09a4f16d-2f03-40e2-96b8-07e272beedd4)\n\n2. Point and Click Builder:\\\n   If none of the published charts are good enough for your end users' use cases, your end users can access a point-and-click chart builder. Any charts they produce will be surfaced back to you for potential reuse/sharing among your other users.\n\n   ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/743ca11c-4cb9-4144-bf34-1a260c049b9e)\n\n\n**🙏 Ask**\\\nIs this a problem you are facing, and do you want to solve it at the root? Tempted to Upsolve your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us!",
        "url": "https://www.ycombinator.com/launches/Lvs-upsolve-ai-embedded-business-intelligence-bi",
        "votes": 57,
        "created_at": "2024-09-26T15:01:45.124Z"
      },
      {
        "id": 78495,
        "title": "🐳 Upsolve AI - The new way to build and offer analytics to your customers",
        "tagline": "Build customer-facing analytics that get your users to take in-product actions and become obsessed with your product!",
        "body": "### **🏆 Tl;dr:**\n\n[**Upsolve AI**](https://upsolve.ai/) **helps companies build and offer analytics to their customers**, with AI answering any additional data questions. Ship analytics using an AI-powered builder, and embed them as native frontend components in your product. The dashboard shows your customers insights about your product and guides them with action recommendations to boost your product’s effectiveness. For example, [marketing companies](https://upsolve.ai/impact-study/fiber) use Upsolve to help users optimize their campaigns, and fintech companies use it to help users manage their accounts. [Watch our demo!](https://youtu.be/Vobh2hw_Pgk)\n\n### **💯 The Team**\n\nTogether, [Ka Ling](https://www.linkedin.com/in/wukaling/) and [Serguei](https://www.linkedin.com/in/sbalanovich/) have over 15 years of experience in data engineering and analytics. We took Palantir's Hyperauto (mentioned in Palantir's DPO S-1) from inception to launch, scaling the product to serve more than 50 enterprise customers in less than 2.5 years and generating eight figures in annual revenue.\n\nHaving experienced firsthand the challenges of building customer-facing analytics at startups and working alongside users from over 100 companies, including Fortune 10 (we’ve been on the frontlines at factories and assembly lines with users!), we're determined to simplify data analytics. That's why we created Upsolve AI - to automate and augment analytics. We're committed to ensuring that no business is limited by its analytics-building capabilities and enabling every end user to make informed decisions based on their data.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/0496fa95-d371-4744-bc52-895cb3457400)\n\n## **❌ The Problem**\n\n🔨 **Building customer-facing analytics is hard:** As a founder or SaaS product owner, you understand the importance of data-driven decision-making. However, developing customer-facing analytics dashboards that empower your end users to make decisions requires expertise and can get complex.\n\n⏳ **Traditional dashboards go stale and are highly restrictive:** Customers need customized and dynamic analytics to fully understand their unique state of the world. Traditional dashboards quickly lose value and become outdated as customers seek analytics customization, leading to frequent ad-hoc data cuts and reporting requests, causing operational friction.\n\n⚙️ **Seeing analytics doesn’t mean better action:** Your customers are likely slammed with data from various products and services that they consume and, as a result experiencing decision paralysis due to information overload.\n\nBuilding effective analytics becomes a strain on your engineering resources, hindering user engagement, retention, and revenue growth.\n\n## **📈 The Solution**\n\n🛠️ **Build fast**\n\nUsing Upsolve AI, you can build customer-facing analytics dashboards simply by asking questions or via point-and-click, and theme them to your company’s design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/2f388753-7ee0-4153-a747-737274cc8f97)\n\n**🚀 Instantly deploy**\n\nOnce that is built, you can embed the dashboard natively in your product as a React or Vue component. “WYSIWYG”, the dashboard will look like it’s been built from scratch by your software engineers and will seamlessly fit into your existing design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/b2a830ed-644f-49cb-b817-25ad2eff3fc6)\n\n❤️ **Help your customers**\n\nYour customers can ask questions of the data and customize their own version of the dashboard based on their unique needs. Upsolve AI will also guide them with analytics insights and in-platform actions. Customers will appreciate what your product is doing well for them and will make the most of it, without your team lifting a finger.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/d27b8d34-7ccf-432b-bc33-c79de8ede425)\n\n🔐 **Enterprise security**\n\nComing from Palantir, we understand the importance of keeping your data secure. Upsolve secures your data in transit and at rest and supports multi-tenancy support that works natively with your existing auth system. Simply drop the Upsolve SDK into your auth flow and users will see the version of their dashboard that’s configured for them.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/f05fb5b8-2560-488f-ba63-7f72b25102b8)\n\n# 🙏 Ask\n\nWe are live with our customers now! If you are looking to build your customer-facing analytics in your product, email [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai) to try [Upsolve AI](https://upsolve.ai/).\n\nIf you know any B2B business in your network that’s looking to unlock their customer-facing analytics and reporting capability, we would greatly appreciate any warm introductions using the above email as well!",
        "url": "https://www.ycombinator.com/launches/KQ3-upsolve-ai-the-new-way-to-build-and-offer-analytics-to-your-customers",
        "votes": 532,
        "created_at": "2024-02-17T09:57:38.096Z"
      }
    ]
  },
  {
    "id": 29184,
    "name": "DryMerge",
    "slug": "drymerge",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1f059f261793064d1e71c446f372bef42ee5e12.png",
    "website": "https://www.drymerge.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We create AI agents that constantly monitor emails, calendar, calls, or wherever else companies have relationship data and organize it into CRM records as meticulously as a great rep would.\r\n\r\nWe build these agents on top of the DryMerge platform, a tool to build AI agents that integrate with business apps and work in the background.\r\n",
    "one_liner": "AI that updates your CRM for you",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1701198714,
    "tags": [
      "CRM",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/drymerge",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/drymerge.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98894763/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1f059f261793064d1e71c446f372bef42ee5e12.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1523010,
        "full_name": "Samuel Brashears",
        "title": "Founder",
        "founder_bio": "CTO DryMerge, formerly Cerebras Systems and Hive AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/samuel-brashears000",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/727ecda8a8e5bcfcc8e9c55938be592d588b0c9d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 70506,
        "title": "Founding Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/drymerge/jobs/Tned0vP-founding-fullstack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$115K - $175K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Rust"
        ]
      },
      {
        "id": 76735,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/drymerge/jobs/oM6myJT-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Announcing our $2.2M Seed Round",
        "url": "https://drymerge.com/blog/announcing-our-seed-round",
        "date": "Sep 16, 2024"
      },
      {
        "title": "DryMerge promises to connect apps that normally don't talk to each other — and when it works, it's great | TechCrunch",
        "url": "https://techcrunch.com/2024/09/15/drymerge-promises-to-connect-apps-that-normally-dont-talk-to-each-other-and-when-it-works-its-great/",
        "date": "Sep 15, 2024"
      }
    ],
    "launches": [
      {
        "id": 89149,
        "title": "DryMerge - AI that updates your CRM for you.",
        "tagline": "AI agents that monitor your customer interactions and organize them into CRM records.",
        "body": "Hey everybody! We’re super excited to announce that you no longer have to update your CRM. \n\n**TL;DR:** AI agents that monitor your customer interactions across every channel — from call transcripts to Slack messages — and organize them into CRM records. We eliminate manual data entry for reps and make your CRM a perfect source of truth.\n\nIf you’re interested in perfect CRM data with no manual effort, book a meeting with us [here](https://cal.com/edwardfrazer/drymerge-consultation).\n\n<https://youtu.be/nLkEsqRNO6c>\n\n## **The Problem**\n\nCRMs like Salesforce and HubSpot are only useful when populated with really good data. Without good data, pretty much every CRM feature like reporting, forecasting, automation, etc. becomes either useless or actively harmful. The problem is that updating the CRM with good data is **hard**, and **traditional methods don’t work.**\n\n\\\nThere’s two main ways CRMs get updated today:\n\n1. A rep manually writes notes, updates deal stages, fills in custom fields, and generally does a whole lot of data entry.\n2. A CRM integration ‘captures’ activity from email/calendar and copy pastes it into the CRM automatically.\n\nBut _both of these fail_. Why?\n\nCRM integrations don’t organize data. They copy-paste unstructured data into your CRM, but to be _useful_ data needs to be structured & organized into records (new contacts, deal stage updates, intelligent notes, custom field changes, etc). Activity capture is not good at that.\n\nReps can organize data into records, but, like many highly manual & repetitive things, they _hate_ it and are bad at it. Human CRM updates become very error-prone and inconsistent (or nonexistent).\n\n**The Solution**\n\n<https://youtu.be/WtH2W81lnQs>\n\nWe create AI agents that constantly monitor your emails, calendar, calls, or wherever else you have relationship data and organize it into CRM records as meticulously as a great rep would.\n\nThis looks like enriching and creating contacts, writing detailed & specific notes, associating related records, updating deal stages, scoring leads, etc.\n\nThe agents work in the background — you never have to touch our UI or touch your CRM; just work as you would normally and our agents keep track of everything.\n\nWe integrate with over 50 business apps and CRMs like Salesforce, HubSpot, Pipedrive, and Zoho. We add new integrations quickly!\n\nOur agents are tailored to your deal process and the information you want to record. \n\n* For example, one of our B2B SaaS customers really cares about creating notes after calls with information like what connectors an enterprise is using and whether they’re self-hosting or not. They want the notes associated with the correct opportunity, account, & all stakeholder contacts.\n* On the other hand, financial services firms we work with have tons of domain-specific custom fields, custom objects, and deal stages they want to populate from email exchanges.\n\nSince our agents follow arbitrary plain English instructions, we can accommodate almost every deal process.\n\n## **How did we arrive at this problem?**\n\nOur core product is a platform to build integrated AI agents that work in the background. Over the last 10 months, by far the most popular use-case we served were agents to update CRMs. We leaned into this demand and designed towards making these agents great. They’re capable of operating in very large CRMs with > 99% reliability on updates.\n\n## **The Ask**\n\nIf you have CRM data problems (either because you don’t update the CRM or your reps struggle with it), feel free to grab some time [here](https://cal.com/edwardfrazer/drymerge-consultation)! Let’s chat :) \n\nIf you know any RevOps or Sales Ops leaders who struggle with keeping their CRM up to date, we’d really appreciate an intro ([founders@drymerge.com](mailto:founders@drymerge.com))!",
        "url": "https://www.ycombinator.com/launches/NBt-drymerge-ai-that-updates-your-crm-for-you",
        "votes": 10,
        "created_at": "2025-04-01T14:28:33.618Z"
      },
      {
        "id": 78755,
        "title": "🚀 DryMerge: Automate work with plain English",
        "tagline": "Describe your frustrating or repetitive workflow and get an automated solution in seconds.",
        "body": "**TL;DR:** [DryMerge](https://drymerge.com/) lets you automate workflows with plain English. Some interesting examples…\n\n* “Whenever I get an email from a potential customer, add them to HubSpot and send me a text”\n* “Summarize the conversation I had with Sam on Slack and email it over to Henry.”\n* “Whenever I finish a Google Meet with a client, update the call notes and next steps in Salesforce.”\n\nTry us out [**here**](https://auth.drymerge.com/en/signup) **for free!** Get in touch at [founders@drymerge.com](mailto:founders@drymerge.com).\n\n![uploaded image](/media/?type=post&id=78755&key=user_uploads/865934/9a408a09-72af-4d80-bbf1-d1ada107b407)\n\n### Our Goal\n\nWe want to help knowledge workers take back the **5 weeks a year** they spend switching between tools and handling repetitive tasks. We do this by letting you make automations in a chat, with plain simple language. Here’s how it works.\n\n* After you say what you want to automate, DryMerge makes a plan, breaks the task up into simple steps, and, if needed, makes the automation automatically respond to events.\n* DryMerge integrates with tools like Slack, Gmail, Google Sheets, Google Meet, SMS, HubSpot, Salesforce, Notion, and GitHub to automate work across tools. We’re adding more integrations fast!\n* DryMerge knows about your team so you can say things like “Text Julie a summary of my recent conversation with John on Slack” and watch it actually happen.\n\n![uploaded image](/media/?type=post&id=78755&key=user_uploads/865934/dc55a4ff-fa9d-4049-8231-7758c5aa56aa)\n\n### Why?\n\nThere are many automation platforms out there, but we’re the first to take “plain English” seriously. [Sam](https://linkedin.com/in/samuel-brashears000) and I ([Edward](https://linkedin.com/in/edward-frazer)) hate struggling with deceptively complicated no-code builders and fidgeting with flaky scripts. We want to build a product that makes powerful software _extremely_ easy to use for people who find working with today's automation tools challenging. \\\n\\\nWe think the best way to do that is by letting people use their software with plain language.\n\nWe’ve known each other since 4th grade and worked at places like Stripe, Hive, Facebook, and AWS. We’re so excited to launch this product and help you automate!\n\n![uploaded image](/media/?type=post&id=78755&key=user_uploads/865934/3484b9a7-3229-435b-a2ed-3db33e5072a2)\n\nIf you’d like to try us out, please do [here](https://drymerge.com/app)! We’re also available at [founders@drymerge.com](mailto:founders@drymerge.com) or to meet [here](https://cal.com/edwardfrazer+sambrashears/meet).",
        "url": "https://www.ycombinator.com/launches/KUF-drymerge-automate-work-with-plain-english",
        "votes": 109,
        "created_at": "2024-02-26T17:30:03.132Z"
      }
    ]
  },
  {
    "id": 29186,
    "name": "Tesseral",
    "slug": "tesseral",
    "former_names": [
      "Codomain Data",
      "Okapi",
      "SSO Ready",
      "ssoReady",
      "SSOReady"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/85992f888276408373d1f33710dd92fd60ae187a.png",
    "website": "https://tesseral.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tesseral is the open source platform for managing identity and access in business software. It provides enterprise-grade capabilities, including SAML single sign-on, SCIM provisioning, role-based access control, managed API keys, and audit logs, implemented in just a few lines of code. \r\n\r\nTesseral unifies access management for employees, customers, services, and AI agents, giving organizations the flexibility to adapt to any deployment model and the authority to enforce security policies with precision.\r\n\r\nYou can learn more by reading our docs at https://tesseral.com/docs or by checking out our GitHub at https://github.com/tesseral-labs/tesseral.",
    "one_liner": "The open source platform for managing identity in business software",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1708399745,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Security",
      "Open Source",
      "API"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/tesseral",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tesseral.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/tesseral",
    "x_url": "https://x.com/tesseralhq",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/tesseral-labs",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/85992f888276408373d1f33710dd92fd60ae187a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/cd33dd2bafa0760537a2552866d39b8a2728c2ea.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d4b0121f1fee45a4beb038578ef9331a9bc86340.png"
    ],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1519710,
        "full_name": "Ned O'Leary",
        "title": "Founder",
        "founder_bio": "Cofounder / CEO at Tesseral",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/nedoleary",
        "x_url": "https://twitter.com/nedoleary",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32798834b53872ec8c2fb1c744cbfa357d1b1e61.jpg"
      },
      {
        "user_id": 710191,
        "full_name": "Ulysse Carion",
        "title": "Founder",
        "founder_bio": "Cofounder/CTO at Tesseral.\n\nFormerly of Segment and Gem. I built Segment's permissions and identity resolution system. Editor of IETF RFC 8927. 🇫🇷🇺🇸",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/ucarion/",
        "x_url": "https://x.com/ucarion",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9978e896bb1cbde625ea8af8a36535a813f8d28.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Tesseral launches with $3.3M to simplify B2B authentication for software developers - SiliconANGLE",
        "url": "https://siliconangle.com/2025/05/06/tesseral-launches-3-3m-simplify-b2b-authentication-software-developers/",
        "date": "May 06, 2025"
      }
    ],
    "launches": [
      {
        "id": 90141,
        "title": "Tesseral: the open source auth infrastructure for B2B SaaS",
        "tagline": "Everything you need to manage users in business software, from a login page to session management to SSO and RBAC!",
        "body": "Tesseral is open source auth infrastructure for business software. You can use it to authenticate your users, and manage their access to resources.\n\nIt’s similar to products like Auth0, but it’s open source and built specifically for B2B apps.\n\nIt comes with enterprise features like single sign-on, directory provisioning, user impersonation, and multi-factor authentication, as well as beautiful login pages and self-service settings for customers.\n\nYou can experiment with Tesseral using our hosted service for free at [console.tesseral.com](http://console.tesseral.com) or learn more by reading the docs at tesseral.com/docs!\n\nhttps://www.youtube.com/watch?v=hawD-4PWy4Y\n\n![uploaded image](/media/?type=post&id=90141&key=user_uploads/1519710/328d4d9e-4a18-4dbe-ae6e-231ae3002b1c)\n\n",
        "url": "https://www.ycombinator.com/launches/NRt-tesseral-the-open-source-auth-infrastructure-for-b2b-saas",
        "votes": 16,
        "created_at": "2025-05-06T17:28:04.050Z"
      },
      {
        "id": 84774,
        "title": "SSOReady: Open source developer tools for enterprise single sign-on",
        "tagline": "SSOReady makes it safe and easy for developers to offer SAML SSO and SCIM directory sync in their software.",
        "body": "**TLDR: set up SAML and SCIM in less than a day:** <https://www.youtube.com/watch?v=_HVtFkW8xCI>.\n\n# Context: customers want SAML\n\nThere are lots of different ways to authenticate (i.e. log in) users in software.\n\nCompanies often require their employees to use single sign-on (SSO) to access business software, both for convenience and security.\n\nFor the most part, especially in large companies, SSO relies on an old, complicated protocol called SAML. (If you’ve used a service like Okta before, you’ve likely used SAML without realizing it!)\n\nIf you make business software, you probably will need to support SAML at some point.\n\n# Problem: SAML is hard\n\nBut SAML is really hard, even for experienced developers. It just doesn’t work like most modern software, making implementations slow and risky. Companies as sophisticated as GitLab can make [very costly mistakes](https://ssoready.com/blog/engineering/ruby-saml-pwned-by-xml-signature-wrapping-attacks/).\n\n# What we do: we make SAML easy\n\nSSOReady makes SAML safe and easy enough that developers can often finish an implementation in [less than a day](https://blog.runreveal.com/we-shipped-sso-support-in-a-day-how/).\n\nSSOReady is an open-source (MIT) service that helps developers implement SAML single sign-on without ever touching SAML directly. Devs just need to implement two API endpoints: one to initiate SAML logins and another to receive incoming SAML messages. And then they’re pretty much done.\n\nSSOReady also offers a similar tool for SCIM, a protocol often used alongside SAML to provision and de-provision users. Developers can use SCIM to establish a live sync between their database of users and their customers’ central IT systems.\n\n# Get in touch\n\n* Our website: <https://ssoready.com>\n* Our github: <https://github.com/ssoready>\n\n![uploaded image](/media/?type=post&id=84774&key=user_uploads/89898/5ad4c15a-246b-4e47-86ba-96e87cabf198)\n\n",
        "url": "https://www.ycombinator.com/launches/M3K-ssoready-open-source-developer-tools-for-enterprise-single-sign-on",
        "votes": 14,
        "created_at": "2024-10-15T19:58:22.889Z"
      }
    ]
  },
  {
    "id": 29187,
    "name": "OpenPipe",
    "slug": "openpipe",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78827e9e8ab6d62b5e66b11dffea9ae771b7d97a.png",
    "website": "https://openpipe.ai/",
    "all_locations": "Seattle, WA, USA",
    "long_description": "OpenPipe is an SDK that abstracts away fine-tuning custom models. We capture your existing provider’s prompt-completion pairs in the background and use them to create a new model that is faster, cheaper and often more accurate than the original.",
    "one_liner": "Turn expensive prompts into cheap fine-tuned models",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1690818525,
    "tags": [
      "AIOps",
      "Open Source",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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        "body": "Hi there! We’re Kyle and David, and we’re building [OpenPipe](https://openpipe.ai/). OpenPipe lets you capture your existing prompts and completions, and then use them to fine-tune a model specific to your use-case. Here’s how the process works:\n\n![uploaded image](/media/?type=post&id=74436&key=user_uploads/203501/750c83fe-b66d-40b8-bec3-63049b029360)\n\n## Problem: General-Purpose LLMs are slow and expensive\n\nBefore working on OpenPipe, we each ran into limitations of GPT-3.5 and GPT-4:\n\n* **David** built an app that required searching Reddit and classifying the results on user-specific dimensions. Because the set of possible results that GPT-3.5 had to classify was so large, each search cost multiple dollars!\n* **Kyle** built (and sold) a startup that involved translating official documents. It was difficult to express the specific requirements that official translations must comply with in a way that GPT-3.5 would reliably follow, but GPT-4 was too slow to provide a good user experience.\n\nWe’ve spoken with many other companies and these issues are common. Cost and latency are two major factors blocking production deployment of LLM-backed functionality.\n\n## Solution: Replace prompts with auto-deployed fine-tuned models\n\nSmall models fine-tuned on a specific prompt are highly performant and can excel at many tasks. They’re particularly good at data extraction and classification, even on tasks that need significant world knowledge.\n\nFor example, in [one project](https://github.com/OpenPipe/OpenPipe/tree/main/examples/classify-recipes) we built to classify recipes, our model was able to determine that a recipe that calls for sautéed mushrooms needs a stovetop, despite not being explicitly trained on that connection. It outperformed GPT-3.5 in classification accuracy and reached 95% of GPT-4’s performance.\n\nAnd not only does our fine-tuned model outperform GPT-3.5, it costs 50X less to run!\n\n![uploaded image](/media/?type=post&id=74436&key=user_uploads/203501/c4655ba3-5023-4010-9fae-ea71cc0e2ccb)\n\nWe’ve built infrastructure to make fine-tuning your own model extremely easy. The process works like this:\n\n* Develop a prototype of your LLM-powered feature using GPT-3.5 or 4 like normal.\n* Collect prompts and completions over time using our reporting SDK.\n* Once you have a few hundred to a few thousand completions recorded, kick off a training job in our UI.\n* A few hours later, your model will be ready. You can either download it and self-host, or host it with us.\n* Update your SDK’s URL to point to the new model. Keep your prompts and application code exactly the same — everything will just work!\n\n## Our Ask\n\n* If you’re prototyping or rolling out a product that is hurt by the slow responses or high costs of your existing LLM provider, talk to us.\n* If you know someone who is prototyping or rolling out AI-based functionality within a large company, link them to this post or just put them in contact with us directly.\n\nYou can reach us at [founders@openpipe.ai](mailto:founders@openpipe.ai). We’d love to help out if we can!",
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    "launches": [
      {
        "id": 79274,
        "title": "Greptile: AI expert that understands large codebases",
        "tagline": "Platform that lets engineers understand large codebases and build internal dev tools using AI.",
        "body": "Hi everyone! We’re [Soohoon](https://linkedin.com/in/soohoonchoi), [Vaishant](https://linkedin.com/in/vaishant), and [Daksh](https://linkedin.com/in/dakshg) from [Greptile](https://www.greptile.com/). We are building the AI expert on any codebase.\n\n**tl;dr** Greptile is an AI platform that lets LLMs understand large codebases. Teams and devs at 250+ companies including Stripe and Amazon use it to get answers to questions about large codebases via our web app, automatically update their docs, build PR review bots on our API, and more. **Try it now → [**app.greptile.com**](https://app.greptile.com)**\n\n![](https://lh7-us.googleusercontent.com/fuO2un8RYVAWc1rG4KjNOKUfudaWA7z4ZKG7kDK7-PcX8zzPOUunZHPD4vLCSfEOYp0WQ00vfigNq3ivhFBPbgFsbH-ldXa8VQLVr0FcA3r3kQDgPMCtfrVzpjSZ5RWYaagrIQYahicZPMx-Fgc1HQM)\n\n### **PROBLEM**\n\nAs software companies grow:\n\n1. Codebases get more **complex**.\n2. **Legacy code** and **tech debt** accumulates.\n3. Docs are usually **outdated**.\n4. **Original engineers leave**, and new engineers are less familiar with the code.\n\nTo get around this, developers:\n\n1. Just brute force their way to grokking the code - which is hard and time-consuming.\n2. Seek help from the subject matter expert, which is difficult if they have left, work remotely, or are just busy.\n3. Try to use tools like GitHub copilot, which are not designed to answer with full code context, so they fail to deliver.\n\nIn fact, the thing that makes coding hard is usually the codebase, not the code!\n\nWe found a way to index and search large codebases such that LLMs can always find the right context, allowing any developer to build internal developer tools powered by AI.\n\nHere’s Felix from Twenty (open source CRM with 9k GitHub stars).\n\n![](https://lh7-us.googleusercontent.com/_rr-le-rqZZzZQoT6p1gikSOdZjaAAKzSwfmn4j9qs7VuKb9Gcw9jnTNfcofYa9F0OaFpSPl3JAmA_hZE6dnV-aBgGTgspfrqILEcAsHrqqMr7g8JuB_YeCMWmCikptC3eWHPgXFzEAPR1gWT_GAtEE)\n\n### **🦎 Greptile in action →**\n\nHere are some ways engineers use Greptile 👇\n\n1. **Narek from** **Lantern** **(W24):** grokking PostgreSQL’s source code, which Lantern is built on.\n2. **Rahul from** **AgentHub (W24):** parsing OSS frameworks that AgentHub integrates with.\n3. **Jack Chapman from** **Cardinal Gray** **(S23):** generating E2E test cases for multi-file services.\n4. **Isaiah Granet from Bland AI (S23):** integrating with the Twilio node SDK.\n5. **SWE at Thera (S22):** writing new features that require complex, multi-file changes.\n6. **YC Medtech (S15):** building an internal PR review bot on top of our API.\n7. **SWE at Stripe (S09):** debugging internal Rust libraries.\n8. **Principal Engineer at Microsoft:** reviewing his team’s code (open source).\n9. **TMO (old B2B software company):** working with their legacy .NET code.\n\n### **ASK →**\n\n* If you’re a developer working with large codebases - try Greptile here → [app.greptile.com](http://app.greptile.com)\n* If you want Greptile at your org, email me ([daksh@greptile.com](mailto:daksh@greptile.com)) or book a demo on my calendar ([greptile.com/demo](http://greptile.com/demo))\n\n![](https://lh7-us.googleusercontent.com/zintlEJgFJVQK3d_FV8Qi3zb845wA5TgCwqcv3jrXyH9N1YNFBFLOlBRPT76Mf16_hilA6DC5wmu9BcNqWPfilKj_52ex2WFjWoHUf6vkZKFll86vU4D1vVYgEOUGWTw-qMqkmeCyMpyAvpUQLiWL6I)\n\n",
        "url": "https://www.ycombinator.com/launches/Kcc-greptile-ai-expert-that-understands-large-codebases",
        "votes": 48,
        "created_at": "2024-03-11T20:06:39.485Z"
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    "website": "https://www.ubicloud.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ubicloud is an open source cloud that can run anywhere.\r\n\r\nOur cloud services include elastic compute, block storage, virtual networking, managed Postgres, K8s, AI inference, and powerful IAM. Ubicloud provides these services on bare metal providers, such as Hetzner, Leaseweb, or AWS Bare Metal.\r\n\r\nYou can self-host our software or use our managed service to reduce your cloud costs by 3-10x.",
    "one_liner": "Open source alternative to AWS",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1700481295,
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    "stage": "Growth",
    "app_video_public": false,
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ubicloud",
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    "github_url": "https://github.com/ubicloud/ubicloud",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
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        "user_id": 26240,
        "full_name": "Umur Cubukcu",
        "title": "Founder",
        "founder_bio": "Previously visiting partner at YC for W23 and S23; now co-founder at Ubicloud. Co-founder and CEO of Citus Data (S11), the creators of the distributed PostgreSQL database Citus. Led the PostgreSQL product team at Azure, after Citus Data was acquired in 2019 by Microsoft.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/umurc",
        "x_url": "https://twitter.com/umurc",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/811b92be504c42ee56cf6aad47e9f0f260d0fc7c.jpg"
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      {
        "user_id": 26241,
        "full_name": "Ozgun Erdogan",
        "title": "Founder",
        "founder_bio": "I’m the cofounder of Ubicloud (YC W24), an open source alternative to AWS. We're on a mission to rebuild the cloud market with different values.\n\nPreviously, I was a partner at Microsoft, leading PostgreSQL engineering teams. I came to Microsoft through its acquisition of Citus Data (S11). I was the cofounder and CTO at Citus, and I learned a lot about doing startups there. Before all this, I built distributed systems at Amazon.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ozgune",
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      {
        "user_id": 49554,
        "full_name": "Daniel Farina",
        "title": "Founder/CTO",
        "founder_bio": "I am one of the founders of Ubicloud.\n\nI've contributed to a number of control planes from an early phase, starting at Heroku, in what would become Heroku Postgres. Since then, I've serially created new control planes and infrastructure cloud products with some close colleagues, at Citus Cloud and Crunchy Bridge. Ubicloud is the fourth such system.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/danfarina",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18aa66df55ba80101caba48b73dd18d85d324c17.jpg"
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      {
        "id": 89544,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/ubicloud/jobs/j4bntEJ-software-engineer",
        "location": "CA, US / Remote (NL; TR)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$95K - $250K",
        "equity_range": "0.15% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Ubicloud wants to build an open source alternative to AWS | TechCrunch",
        "url": "https://techcrunch.com/2024/03/05/ubicloud-wants-to-build-an-open-source-alternative-to-aws/",
        "date": "Mar 05, 2024"
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      {
        "id": 79315,
        "title": "Ubicloud - Open source alternative to AWS",
        "tagline": "Ubicloud is an open source cloud that can run anywhere.",
        "body": "**TL;DR**: Ubicloud provides IaaS cloud features on bare metal providers, such as Hetzner, Leaseweb, or AWS Bare Metal. You can self-host our software or use our managed service to reduce your cloud costs by 3-10x.\n\nHey everyone 👋 We’re Umur, Daniel, and Ozgun from [Ubicloud](https://www.ubicloud.com). We’re on a mission to rebuild the cloud market with different values. More on us below.\n\n## The Problem\n\n![uploaded image](/media/?type=post&id=79315&key=user_uploads/26241/10a339e1-dafe-421e-99f4-9484960966a7)\n\nAWS, Azure, and Google Cloud make life easier for start-ups and enterprises. But they are closed source, have you rent computers at a huge premium, and lock you in. It gets worse after your credits expire.\n\nAlthough the cloud came in with savings in its early years, the market evolved into a few players that overcharge for non-differentiated services, with increasingly complex products for standard, essential services. Each vendor optimizing for their walled gardens leaves customers stuck maintaining their apps and infra across incompatible clouds.\n\nThe cloud is here to stay. We believe a simpler, secure, and open source version of it will have a lasting impact.\n\n## The Solution\n\nUbicloud offers an open source alternative, reduces your costs, and returns control of your infrastructure back to you — all without sacrificing the cloud’s benefits. We’re starting with elastic compute, virtual networking, block storage (non-replicated), managed PostgreSQL, and powerful IAM.\n\nOur managed cloud runs on cost-effective bare metal providers, such as Hetzner. As a result, you can reduce your costs by 3-10x. Example use-cases:\n\n1. GitHub Actions: Change 1-line in your workflow file. Reduce costs by 10x\n2. Compute for batch processing: Run data pipelines for AI, scientific computing, and video processing - on-demand and encrypted. Reduce costs by 3x (vs AWS VMs)\n3. Managed PostgreSQL: Open source and portable. Uses local NVMes for higher performance, ideal for analytics. Reduce costs by 3x (vs AWS RDS)\n\n## The Team\n\n![uploaded image](/media/?type=post&id=79315&key=user_uploads/89898/3ce2495a-3697-4f8e-a61e-a6aa4a64bde7)\n\n_“Never tell me the odds.” — Han Solo_\n\nWe think the cloud galaxy deserves a solution that stands for open source values. We’re building to those values as part of the Rebel Alliance (yes, an alliance is needed to outmatch the empire :). From left to right:\n\n[Umur](https://www.linkedin.com/in/umurc/) - 5 years at startups. Then co-founded and led Citus Data (S11) to Microsoft acquisition. Led product teams within Azure. YC Visiting Partner for the previous two batches\n\n[Ozgun](https://www.linkedin.com/in/ozgune/) - 4 years at Amazon. Then co-founded and led Citus Data (S11) to Microsoft acquisition. Led engineering teams within Azure.\n\n[Daniel](https://www.linkedin.com/in/danfarina/) - Instrumental in building Heroku PostgreSQL. Amazed everyone with his skills in building managed cloud services at Citus Data, Azure, and Crunchy Bridge.\n\n## Our Ask\n\n1. Help us build the Rebel Alliance. [**Follow us (@UbicloudHQ)**](https://twitter.com/UbicloudHQ) on Twitter and tweet [**this post**](https://twitter.com/UbicloudHQ/status/1767594825023721858)!\n2. Start using Ubicloud for [GitHub Actions](https://www.ubicloud.com/use-cases/github-actions), [secure virtual machines](https://www.ubicloud.com/use-cases/ubicloud-compute), or [managed PostgreSQL](https://www.ubicloud.com/use-cases/postgresql). We reduce costs by 3-10x and we are open source!\n\n## The Deal\n\nTweeting and following us on Twitter gets 5,000 free compute minutes (standard-2). Using Ubicloud for one of the above use cases before demo day gets 10,000 compute minutes. Claim those minutes by sending us an email at [founders@ubicloud.com](mailto:founders@ubicloud.com)",
        "url": "https://www.ycombinator.com/launches/KdH-ubicloud-open-source-alternative-to-aws",
        "votes": 121,
        "created_at": "2024-03-12T16:11:25.761Z"
      }
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  {
    "id": 29238,
    "name": "Duckie",
    "slug": "duckie",
    "former_names": [
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      "Duckie AI"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a8142dd4308f44a79489c6b5d5abf67e4fe5ab1.png",
    "website": "https://duckie.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Duckie lets customer support teams build their own AI agents in minutes! \r\n\r\nWith Duckie, support teams can translate their tasks and processes into predictable and reliable AI workflows that saves them time and money. Folks use Duckie to handle a wide range of use cases, from answers customers technical questions to processing refunds, and everything in between.",
    "one_liner": "Build AI Support Agents in Minutes",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1697309167,
    "tags": [
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      "Customer Support",
      "Operations",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/duckie",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/duckie.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/duckie-ai/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 1422402,
        "full_name": "Valerie Li",
        "title": "Founder",
        "founder_bio": "Cofounder and CEO of Duckie. Prior to Duckie, she has been a senior engineer for 6+ years with expertise in infrastructure.\nShe was a tech lead at Netflix for 3 years, where she led the subscriber growth project that stopped password sharing, which added 8m new subscribers and $200m in revenue (and saved the company's stock price).\nBefore that she was an engineer at LinkedIn, and got her Computer Science degree from USC.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/peifeili",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0ff88e00eb5b518161ae922d5fffedf5bf7c026b.jpg"
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      {
        "user_id": 515585,
        "full_name": "Joel Ritossa",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at Duckie. Former AI Software Engineer at C3 AI, built Enterprise AI solutions. Princeton CS Class of 2020. Solving technical support with Valerie Li.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/joel-ritossa",
        "x_url": "https://twitter.com/JoelRitossa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec052de71589950c3000764c62f1597ae5c1ce30.jpg"
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    "jobs": [
      {
        "id": 82671,
        "title": "Founding Business Development Representative",
        "url": "https://www.ycombinator.com/companies/duckie/jobs/uDANlkc-founding-business-development-representative",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "0.25% - 1.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 103196,
        "title": "AI Agent Engineer",
        "url": "https://www.ycombinator.com/companies/duckie/jobs/McnwK78-ai-agent-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $130K",
        "equity_range": "5.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 78906,
        "title": "Duckie: Your AI technical support assistant 🐥",
        "tagline": "AI technical support assistant that helps teams resolve issues in minutes",
        "body": "Quack! We are [Valerie](https://linkedin.com/in/peifeili) and [Joel](https://linkedin.com/in/joel-ritossa), and we are happy to introduce [Duckie](https://duckie.ai/), an AI technical support assistant that helps teams resolve issues in minutes.\n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/89898/c8ebe519-8f16-44d1-90be-4d314325946d)\n\n[ ](https://www.youtube.com/watch?v=fycJPu47u1E&feature=youtu.be)\n\n## **Problem - Too many support requests, too little time.**\n\nResolving technical issues takes a lot of time, and they are often time-sensitive. Most issues can be solved with better knowledge-sharing. So much relevant information is in your team’s knowledge base, but it’s tough to find.\n\n* A lot of important information is tribal knowledge stuck in a teammate’s head.\n* Written knowledge is still siloed and scattered across Slack, Jira, docs, everywhere!\n* Once you find the docs, they’re always out of date (who likes writing documentation??).\n\n## **Solution**\n\nDuckie connects to your team’s knowledge sources (i.e. Slack, Jira, Confluence, Sentry, etc) to find relevant information and **generate issue resolutions** in minutes while writing back to your documentation to **keep the knowledge base up-to-date**.\n\nIs your customer getting an error message while OAuthing into your product? Duckie’s there to help. Your user is facing an issue using your API? Duckie can handle that. Your new engineer is having trouble setting up a local environment? Leave it to Duckie!\n\n### Instantly understand your issue and how to resolve it\n\nWhen a new issue comes up in your support channel, Duckie responds in the thread with where to look and how to resolve it, with reference sources.\n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/1422402/434842de-d831-4a1e-8f10-3f993b3e9991)\n\n### Conversational copilot to investigate with you\n\nHave follow-up questions? Instead of waiting for hours for human responses, Duckie responds instantly and gets you unblocked ASAP. \n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/1422402/fba57457-07b7-43d7-8cd7-9dc5affe311c)\n\n### Keep your documentation up-to-date automatically\n\nDuckie keeps your team’s documentation up-to-date with learning picked up during issue resolution. Duckie also handles post-mortems, status updates, and more.\n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/1422402/47063fac-d439-4af0-a372-b19e2122b084)\n\n## **Our Ask**\n\n1. [Book a demo](https://calendly.com/valerie-li-duckie/meet) with us to get Duckie live in your channel!\n2. Questions, thoughts, feedback, or want a Duckie swag? Email us at [founders@duckie.ai](mailto:founders@duckie.ai)!",
        "url": "https://www.ycombinator.com/launches/KWg-duckie-your-ai-technical-support-assistant",
        "votes": 182,
        "created_at": "2024-02-29T19:10:57.504Z"
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    "id": 29239,
    "name": "ion design",
    "slug": "ion-design",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/19ac79a5dd7e79b8d3e0a7794a401a7673116ee9.png",
    "website": "https://www.ion.design/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're a website platform for Ecommerce brands. ION pairs your website with AI agents that design, launch, and learn from on-brand experiments that increase revenue per visitor.\r\n\r\nBrands that use ION learn and grow faster than if they were using a traditional CRO team. It's like a growth team working 24/7 to help drive and convert more traffic.\r\n\r\nWe're trusted by $1b+ companies and leading Ecommerce brands.",
    "one_liner": "AI Website platform that grows revenue automatically",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1698787268,
    "tags": [
      "Design Tools",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/ion-design",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/ion-design.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ion-dot-design",
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        "user_id": 608990,
        "full_name": "Samraaj Bath",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ ion design.\n2x YC founder. ex CTO, PM, design team manager, full stack engineer. \nobsessed w/ making it easier to build beautiful products.\n\nI previously founded an ice cream company, bootstrapped a birthday wishing app, danced professionally, and rebuilt a 1981 motorcycle.",
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    "launches": [
      {
        "id": 92019,
        "title": "Ruby: The 1st Autonomous AI Product Designer",
        "tagline": "AI Agent that improves your product while you sleep",
        "body": "We want you to [meet Ruby.](https://ion.design/ruby)\n\n![uploaded image](/media/?type=post&id=92019&key=user_uploads/608990/d2392f00-7f84-408c-b2dd-3ad45be16407)\n\n**tl;dr:** You can assign Ruby design tasks right in slack, like optimizing a flow or creating a new page.\n\nShe clarifies requirements, researches, designs multiple options, iterates with you, and ships PRs to your codebase. She will then monitor performance and suggest future improvements.\n\nShe’s like Devin, but for Product Design work.\n\n2 min demo - [**https://youtu.be/0MccwmsZOOc?si=FqSIPUbiX-Y160h8**](https://youtu.be/0MccwmsZOOc?si=FqSIPUbiX-Y160h8)\n\n### Problem\n\n“Over the next decade, as new coding tools make it easier than ever to build and ship products quickly, great design is going to matter even more.” - Aaron Epstein, latest YC RFS\n\nWe agree, and good design takes a LOT of time, money, and care. Ruby can leverage your design thinking and execute against it 100x faster.\n\nWhenever you build a flow, you can be sure Ruby will make it as good as it can be.\n\n### How ruby helps\n\nWhen assigned a task, ruby works through a flow to solve the problem:\n\n1. **Clarify:** Ruby asks your team the right questions until the requirements are clear.\n2. **Research:** Ruby scans usage data, research docs, personas, and finds external inspo.\n3. **Design & Test:** Ruby generates multiple concepts that follow your brand and design system. She simulates usage and discards weak options. She will iterate until she is confident the problem is being solved.\n4. **Iterate:** Ruby presents her work, takes feedback, and refines. She can iterate endlessly.\n5. **Ship:** Opens a PR when you approve a design.\n6. **Improve:** Ruby will monitor your analytics and propose upgrades whenever she spots opportunities.\n\n### Why did we build this?\n\nOur team was early in generative code & design. I’ve been shipping ai design-to-code tools since 2021, and we recently built an AI visual builder called ion.\n\nInternally, we trained an AI that uses our visual builder itself, and taught it the design process.\n\nIt blew us away.\n\nWe named her Ruby, put her into slack, and started giving her to our customers. Her results look promising so we’re sharing her more 🙂\n\n### Our ask\n\n[**Ruby**](https://ion.design/ruby) is meant for fast moving startups who are serious about getting product changes in the hands of customers faster.\n\nIf you want faster experimentation and world‑class design without extra headcount, [**grab a slot on our calendar.**](https://cal.com/samraaj/15min) We are personally onboarding the first batch of customers.\n\n![uploaded image](/media/?type=post&id=92019&key=user_uploads/608990/b1b1f820-9458-4ab6-a945-8ad107904847)\n\n",
        "url": "https://www.ycombinator.com/launches/NwB-ruby-the-1st-autonomous-ai-product-designer",
        "votes": 44,
        "created_at": "2025-07-09T18:31:45.892Z"
      },
      {
        "id": 89341,
        "title": "ion - AI development for your non-technical team",
        "tagline": "We turn your PMs and Designers into shipping machines",
        "body": "**tldr:** ion is a **visual editor for your codebase** that lets non-engineers (PMs, designers, marketers) safely **edit, refine, and ship** UI changes—while maintaining code quality.\n\n![uploaded image](/media/?type=post&id=89341&key=user_uploads/608990/2f3dfe27-827f-4c3e-8076-dddc335cdf65)\n\n[Demo (2 minutes)](https://youtu.be/qF0Ery_eqRA)\n\n### Safe “vibe coding”, made for your team\n\n* **Built for your codebase:** ion connects to your github and understands your set up (design system, tokens, components, version control) to ensure changes use existing patterns and fit architecture. Setup takes seconds.\n* **Easy for non-technical team:** ion serves a figma-like experience, so PMs and designers have a familiar interface to make product changes. ion automatically opens PRs so your usual review process stays intact.\n* **Faster Iteration:** No more endless backlogs, Figma → Dev → QA loops, or “design doc limbo.” ion makes smaller (but crucial) changes easy, and keeps your engineers focused on the big stuff.\n\n### Problem\n\nProduct teams are split in to two camps:\n\n* Those who can ship (engineers).\n* Those who can’t ship (PMs, designers, marketers, etcc)\n\nSmall changes—marketing pages, design tweaks, growth experiments—get stuck behind bigger features and developer bandwidth.\n\nBut they’re inherently different work and shouldn’t be at odds with one another.\n\n### Solution\n\nWith ion, your entire product team gains the ability to ship through a simple visual editor.\n\nYour team can either point and describe their changes through natural language, or enter “design mode” to get a Figma-like editor built on top of your codebase.\n\n![uploaded image](/media/?type=post&id=89341&key=user_uploads/608990/d37e63ab-9b64-4323-b5cc-01b434303621)\n\nion automatically wires everything into GitHub branches/PRs, so you still maintain engineering rigor.\n\nEngineers are freed up to focus on **high-leverage** work (architecture, data, business logic), while non-technical folks self-serve on UI changes, experiments, front end, and other changes.\n\n### How it’s being used today:\n\n* **Rapid Product Iteration**\n  * Instead of back-and-forth on Slack or Loom videos, designers/PMs can open an ion link for a given branch, visually tweak what’s needed, and ship updated PRs.\n* **Design Fixes**\n  * Designers fix design issues directly within ion rather than piling up a backlog of styling tickets. Some teams even skip Figma altogether for minor tweaks.\n* **Growth & Marketing**\n  * Launch new landing pages, promotions, or experiments at lightning speed. No more waiting on the dev queue for something as simple as a copy change.\n\n### Our ask\n\nion has already shipped thousands of lines of code at companies of all sizes. If you’re interested in unlocking the development productivity of your team,  please reach out:\n\n* Email us at founders@ion.design\n* [Book some time to chat on my calendar](https://cal.com/samraaj/15min)\n* [Download ion now - it’s free to start 🙂](https://ion.design/)",
        "url": "https://www.ycombinator.com/launches/NEz-ion-ai-development-for-your-non-technical-team",
        "votes": 28,
        "created_at": "2025-04-08T18:16:40.189Z"
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      {
        "id": 78764,
        "title": "⚡️ ion design - Instantly turn Figma designs into clean React code",
        "tagline": "A design system that writes and maintains your code for you, automatically.",
        "body": "Hi everyone 👋🏽🧡. [Samraaj](https://linkedin.com/in/samraajbath) and [Samuel](https://linkedin.com/in/samuel-barnholdt-a480b3179) here from [ion design](https://www.ion.design/). We’re super excited to share what we’ve been working on with you!\n\n**tldr:**\n\nion design automatically turns Figma designs into pixel-perfect, production-ready code, speeding up front-end implementation time by at least 40%.\n\nWe accomplish this by serving a fully featured Figma design system and matching React component library. This allows our generations to come out with incredibly high-quality, functional code that saves hours of time.\n\nThink of us like UntitledUI and Shadcn on steroids - we speed up both the design and implementation processes.\n\n**Deal:**\n\nOur design system with 5,000+ custom components is available for just $10 for the first 100 customers - [get access here](https://buy.stripe.com/28o1739KTcx59Vu8wB?prefilled_promo_code=YCLAUNCH24)\n\nHere’s a quick demo of our design system being used to generate a production-ready application:\n\n[DEMO](https://youtu.be/81kUjZUXaxQ)\n\n[Demo Application - Figma](https://www.figma.com/file/LncZWxVTpD4svqEUVk63pC/ion-demo-application?type=design&node-id=105%3A4665&mode=design&t=CW5GRxhuZBUGbc6t-1)\n\n[Demo Application - GitHub](https://github.com/ion-design/ion-demo-application)\n\n[Demo Application - Live Link](https://ion-demo-application.vercel.app/)\n\n# The Problem - implementing designs is expensive, painful, and monotonous.\n\nDesign and front-end engineering is re-doing the same work twice. We think this is ridiculous, and a total waste of time for businesses that leads to a multitude of problems:\n\n* **Engineers feel like they are wasting their time** monotonously writing CSS to match pixels in Figma. They would prefer to focus on more interesting work that drives value - like business logic, architecture, and data. They also hate working with primitives and want useable components out-of-the-box.\n* **Designers feel that there’s always a disconnect** between what they made and production. They’re constrained by engineering bottlenecks and their fixes will never be live. Many want a system they can put in place so the organization can be more structured and consistent.\n* **PMs & Founders hate having to prioritize design changes** against product iterations and new feature releases. They wish that the design work could just get done.\n\n# ⚡ Solution - The ion system\n\nion serves a customizable design system & component library that can be synced with your codebase ✨automatically✨.\n\nWe’re the first UI-kit that’s tightly coupled between Figma and React and works with out-of-the-box code generation.\n\n![uploaded image](/media/?type=post&id=78764&key=user_uploads/608990/40106740-b0ff-42ca-8502-5f2138f80e84)\n\nHere are some killer features:\n\n* ion automatically re-uses your existing components and writes READABLE code that your engineers can interface with.\n* ion writes stub functions and state handlers for your buttons, inputs, text areas, tabs, and other complicated components, automatically.\n* ion raises merge conflicts for design changes and soon will be able to create pull requests directly in your repo.\n* ion keeps you consistent, clean, and quick in your development. Oftentimes, the generated code is cleaner and easier to work with than what I write.\n\nUsing ion also saves your designers thousands of hours by serving 5,000+ well-built Figma components. This empowers you to design faster and maintain consistency across your application. Here’s a gif of me creating a screen in a matter of minutes:\n\n![uploaded image](/media/?type=post&id=78764&key=user_uploads/608990/87b26b94-5a26-4e5e-bec1-fe31c3a8e742)\n\nOur design system is endlessly theme-able and syncs directly with the CSS variables in your codebase. Light mode and dark mode are baked into the system.\n\nSay goodbye to re-writing classnames and pulling your hair out to get things to look good. You can even add whatever custom themes you want.\n\n![uploaded image](/media/?type=post&id=78764&key=user_uploads/608990/8f4f009c-a9e8-423a-ace6-db1a05008e4c)\n\n# 💲 Special Deal\n\n* JUST $10 for access to our design system with 5,000+ Figma components and the matching React+tailwind code. [Ready to go for any project - get started here.](https://buy.stripe.com/28o1739KTcx59Vu8wB?prefilled_promo_code=YCLAUNCH24)\n* Personal hands-on help from our team to use the design system and integrate generated code for you.\n\n[Sign up for early access here.](https://www.ion.design/)\n\n[or - book a call with me directly here.](https://cal.com/samraaj/30min)",
        "url": "https://www.ycombinator.com/launches/KUO-ion-design-instantly-turn-figma-designs-into-clean-react-code",
        "votes": 32,
        "created_at": "2024-02-26T19:15:51.663Z"
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        "full_name": "Chris Lo",
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        "full_name": "Andrew Bass",
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        "title": "Poka Labs: The Modern Operating System for Chemical Manufacturing",
        "tagline": "We put chemical production planning on autopilot",
        "body": "### Summary:\n\n* We help chemical manufacturers automate their production planning and scheduling without the need for spreadsheets or complex implementations\n* Schedule a demo - <https://www.pokalabs.com/>\n\nHi everyone! We’re Andrew and Malay — the founders of Poka Labs.\n\n### ❌ Problem\n\nProduction planning is the “brains” of chemical operations. Yet even today, the $5.6 trillion chemical industry relies on spreadsheets and humans to manage the process.\n\nThis leaves plants to constantly fight fires in order to meet customer orders on time and maximize manufacturing margins. Any change, such as inventory delays, labor shortages, or unexpected maintenance, further stresses operations. Existing systems, such as ERPs, are too rigid in their data inputs to adapt to these types of changes.\n\n### ✅ Our Solution: Adaptive Production Planning with AI\n\nPoka Labs integrates with existing information (data historians, emails, PDFs, ERPs, etc) to put chemical production scheduling on **autopilot**. Our software automates analytics, scheduling, changes, and communication within one platform that anyone can use.\n\nWith Poka Labs, chemical plants can:\n\n* Maximize revenue\n* Minimize transition costs\n* Eliminate messy spreadsheets\n* Increase visibility\n\n![uploaded image](/media/?type=post&id=82777&key=user_uploads/1512280/c60251e7-3d4b-40ca-b900-9880d3597a4a)\n\n### 🎉 Our Story\n\n[Malay](https://linkedin.com/in/yalamshah) is a chemical engineer who has worked in chemical plants across 3 continents. He experienced these issues firsthand and saved his prior employers over $100+ million on process improvement and production planning projects.\n\nHe met [Andrew](https://linkedin.com/in/andrewbass) while they were pursuing their MBA at Harvard Business School. Andrew worked as a software engineer on data infrastructure systems at Meta before working on optimization problems at a seed-stage startup. He also completed a Masters degree at Harvard specializing in ML.\n\nTogether, we’re passionate about deploying modern software in the chemical industry.\n\n### ❓ The Ask\n\n* If you work in chemical manufacturing, we’d love to chat! Contact [malay@pokalabs.com](mailto:malay@pokalabs.com)\n* Share this post! Is there anyone in your network that deals with planning for chemicals? We’d love to chat with them\n  * _Copy & paste blurb_: A team of Harvard grads created an AI-powered production planning platform designed for the chemical industry. It automates scheduling, changes, and analytics in one platform. Put your plant on autopilot with Poka Labs. Contact [malay@pokalabs.com](mailto:malay@pokalabs.com) to see a demo from the founders.\n\n![uploaded image](/media/?type=post&id=82777&key=user_uploads/1512280/50e570cf-b34b-4d74-a706-0f28dc480c5f)\n\n",
        "url": "https://www.ycombinator.com/launches/LX7-poka-labs-the-modern-operating-system-for-chemical-manufacturing",
        "votes": 208,
        "created_at": "2024-08-06T16:41:26.311Z"
      }
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    "id": 29253,
    "name": "Andon Labs",
    "slug": "andon-labs",
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    "website": "https://andonlabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Safety from humans in the loop is a mirage. We evaluate, research, and apply AI control in our own real-world deployments of autonomous organizations.\r\n\r\nWe are building the Safe Autonomous Organization. We iteratively launch and scale autonomous organizations, while bridging AI control research with real-world testing.",
    "one_liner": "Autonomous organizations without humans in the loop",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1699380174,
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      "America / Canada"
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/andon-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/andon-labs.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/andonlabs/",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 1308973,
        "full_name": "Lukas Petersson",
        "title": "Founder/CTO",
        "founder_bio": "Breaking capitalism @Andon Labs",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lukas-petersson-181a83172",
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    "jobs": [],
    "news": [
      {
        "title": "Anthropic's office launched an AI-run vending machine. It had AI-run stores and cafes within a year | Fortune",
        "url": "https://fortune.com/2026/06/02/anthropic-office-vending-machine-ai-agents-vendo-andon-lukas-petersson/",
        "date": "Jun 02, 2026"
      },
      {
        "title": "The café run by AI just ordered 3,000 pairs of gloves",
        "url": "https://www.thetimes.com/world/europe/article/life-in-an-ai-cafe-f6khbhq99",
        "date": "May 24, 2026"
      },
      {
        "title": "Andon Labs’ AI radio stations show why Grok and Gemini can’t be trusted | The Verge",
        "url": "https://www.theverge.com/ai-artificial-intelligence/931479/andon-labs-ai-radio-companies",
        "date": "May 15, 2026"
      },
      {
        "title": "What Happens When A.I. Runs a Store in San Francisco? - The New York Times",
        "url": "https://www.nytimes.com/2026/04/21/us/san-francisco-store-managed-ai-agent.html?searchResultPosition=1",
        "date": "Apr 21, 2026"
      },
      {
        "title": "We Let AI Run Our Office Vending Machine. It Lost Hundreds of Dollars.",
        "url": "https://www.wsj.com/tech/ai/anthropic-claude-ai-vending-machine-agent-b7e84e34",
        "date": "Dec 18, 2025"
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    "id": 29254,
    "name": "Reducto",
    "slug": "reducto",
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    "website": "https://reducto.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Reducto is the agentic document platform for leading AI teams building systems to automate document workflows at enterprise scale.\r\n\r\nOur platform provides a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. Reducto is trusted by leading AI teams at companies like Harvey, Scale AI, and Vanta.\r\n\r\nWe are built for enterprise workloads with flexible deployment options from the cloud to fully air-gapped environments, SOC II and HIPAA compliance, and zero data retention.\r\n\r\nLearn more: https://reducto.ai/\r\nFind our YC deal: https://reducto.ai/yc",
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    "team_size": 30,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1704664395,
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      "Enterprise Software",
      "Search",
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    "year_founded": 2023,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reducto-ai/",
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    "founders": [
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        "user_id": 1577822,
        "full_name": "Raunak Chowdhuri",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder/CTO at Reducto. Before Reducto I studied CS at MIT, founded/scaled a comp. chem consulting company to 200k ARR, published computer vision papers with 100+ citations before finishing high school, and spent a little too much time shit posting on Twitter.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sauhaarda",
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        "user_id": 850889,
        "full_name": "Adit Abraham",
        "title": "Founder/COO",
        "founder_bio": "Co-founder/CEO at Reducto. Before Reducto I studied CS at MIT, made Ads/Search things as a PM for Google, did ML research at MIT's Media Lab, and spent an unreasonable amount of time playing Pokemon Showdown.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aditabraham",
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        "id": 69144,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/reducto/jobs/2BVFiJu-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $240K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
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        "skills": [
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        "id": 70899,
        "title": "Machine Learning Engineer",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Machine learning",
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        "title": "LLM/ML Engineer (Inference)",
        "url": "https://www.ycombinator.com/companies/reducto/jobs/roVp40O-llm-ml-engineer-inference",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
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        "experience": "3+ years",
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      {
        "title": "Reducto: AI document parsing & extraction software",
        "url": "https://reducto.ai/blog/reducto-series-b-funding",
        "date": "Oct 14, 2025"
      },
      {
        "title": "Reducto: Making Human Data LLM-Ready With State-of-the-Art Accuracy",
        "url": "https://www.youtube.com/watch?v=QBC_cViA7j8",
        "date": "May 01, 2025"
      },
      {
        "title": "Exclusive: Reducto, AI document parsing startup, raises $24.5 million Series A led by Benchmark | Fortune",
        "url": "https://fortune.com/2025/04/25/exclusive-reducto-ai-document-parsing-startup-raises-24-5-million-series-a-led-by-benchmark/",
        "date": "Apr 25, 2025"
      },
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        "title": "Reducto Document Ingestion API",
        "url": "https://reducto.ai/blog/reducto-series-a-funding",
        "date": "Apr 25, 2025"
      },
      {
        "title": "Reducto Document Ingestion API",
        "url": "https://reducto.ai/blog/seed-round",
        "date": "Oct 02, 2024"
      }
    ],
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      {
        "id": 82871,
        "title": "Reducto - Structured data from any unstructured document",
        "tagline": "Reducto’s new API makes it easy to turn complex documents and spreadsheets into structured data that fits your schema, with zero fine tuning. ",
        "body": "![uploaded image](/media/?type=post&id=82871&key=user_uploads/850889/1ce99361-5539-4e75-809d-d432d24470a2)\n\n[Reducto](https://reducto.ai) is a team from MIT building vision models to turn complex documents into LLM-ready inputs. Every part of our core API was made to offer the most accurate extraction possible, and we now power document ingestion for leading AI teams ranging from startups to Fortune 10 enterprises. \\\n\\\nWe’re excited to release a new **Structured Extraction API**, which leverages LLMs along with our vision models to extract the data that you need with exceptional accuracy and flexibility. \n\n# **📃 The Problem**\n\n**Nearly 80% of enterprise data is in unstructured formats like PDFs and spreadsheets**\\\nPDFs are the status quo for enterprise knowledge in nearly every industry. They’re stored in a structure that’s simply impractical for use in digital workflows, which leads to [dozens of wasted hours every week](https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing).\\\n\\\n**Custom extraction models require hundreds of hours to build and maintain**\n\nCompanies often use traditional solutions to build a custom extraction pipeline for _every_ document layout they’re working with. That requires dozens of hours for labeling and training the model, and constant maintenance when models break from changing layouts.\\\n\\\n**LLMs offer better flexibility at the cost of reliability**\n\nOff the shelf LLMs _can_ offer exceptional reasoning but they struggle with hallucinations and extraction inaccuracies, making them unreliable for production use cases. \n\n# \n\n# **✅ Our Solution**\n\nWe’ve built vision models to read documents the way a human would, and a language model that we trained for schema-based extraction. Our new model can handle significantly larger documents, and is trained to _cite_ the source for each piece of information, allowing you to audit and verify outputs easily.\n\n![uploaded image](/media/?type=post&id=82871&key=user_uploads/850889/b090586c-1014-4293-a5f3-266950b46338)\n\nThis means you can:\n\n* Extract important fields with simple, natural language instructions\n* Verify any information using our source citations\n* Build powerful automations by integrating Reducto’s API with your custom workflow\n\n# **🚀 Automate your unstructured data processing**\n\nOur API is live in production with leading teams across insurance, healthcare, and finance, and we would love to work with you to improve your unstructured data ingestion.\\\n\\\nThis new API leverages all of the work that we’ve put into improving our document understanding models to make structured extraction work across all layouts with best in class accuracy. \\\n\\\nYou can [sign up](https://reducto.ai/pricing) to get started right away, or reach out to us at [founders@reducto.ai](mailto:founders@reducto.ai) for a demo!",
        "url": "https://www.ycombinator.com/launches/LYd-reducto-structured-data-from-any-unstructured-document",
        "votes": 28,
        "created_at": "2024-08-09T14:58:47.814Z"
      },
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        "id": 78035,
        "title": "🔮 Reducto - Unlocking data behind complex documents",
        "tagline": "Our API allows you to convert complex, unstructured documents into structured outputs that are perfect for RAG, process automation, and more.",
        "body": "Hey everyone - [Raunak](https://www.raunakdoes.dev/) and [Adit](https://www.linkedin.com/in/aditabraham/) here 👋🏼\\\n\\\nWe met four years ago while studying computer science at MIT, and we’ve spent the past few years building ML products at companies like Google and NVIDIA. We started building [Reducto](https://reducto.ai) after struggling with document ingestion while consulting for teams integrating LLMs into their applications.\n\n# \n\n# **📃 The Problem**\n\n**Nearly 80% of enterprise data is in unstructured formats like PDFs**\n\nPDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to [dozens of wasted hours every week](https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing).\n\n**Traditional approaches fail at reliably extracting information in complex PDFs**\n\nOCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with. \n\n# **🚀 Our Solution**\n\nReducto breaks document layouts into subsections and then contextually parses each depending on the type of content.\n\n![](https://framerusercontent.com/images/OGE17IqyrDhYFCvrxMFNNtwpLs.png?scale-down-to=2048)\n\nThis is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:\n\n* Accurately extract text and tables even with nonstandard layouts\n* Automatically convert graphs to tabular data and summarize images in documents\n* Extract important fields from complex forms with simple, natural language instructions\n* Build powerful retrieval pipelines using Reducto’s document metadata\n* Intelligently chunk information using the document’s layout data\n\nYou can try a demo [here](https://app.reducto.ai/share/5ecd4726-f482-498d-a1c2-b76e12f595a8). \n\n# **🙏🏼 Our Ask**\n\nWe’re looking to onboard more teams across insurance, healthcare, and finance and would really appreciate your help. If you or someone you know is struggling with high-volume document workflows (5000+ pages), please reach out to us at [founders@reducto.ai](mailto:founders@reducto.ai).",
        "url": "https://www.ycombinator.com/launches/KId-reducto-unlocking-data-behind-complex-documents",
        "votes": 41,
        "created_at": "2024-01-31T20:01:45.526Z"
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    "id": 29256,
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    "linkedin_url": "https://www.linkedin.com/company/momentic-ai",
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        "full_name": "Wei-Wei Wu",
        "title": "Founder",
        "founder_bio": "Wei-Wei Wu is a co-founder and CEO of Momentic. Previously, he worked at Assembled, building infrastructure and real-time features. Before that, he was the first employee and founding engineer at Nashi, a startup tackling RTO during Covid, which was acquired by Density in 2021.",
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        "full_name": "Jeff An",
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        "founder_bio": "I'm a curious and driven technical founder hailing from Toronto, Canada. I love up-leveling others through my work and after graduating from the University of Waterloo, I found my calling in cloud and test infrastructure at companies like Splunk, Google, and Robinhood. Aside from engineering, I love traveling the world (over 100K miles flown in 2023!), playing piano, and hiking.\n",
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        "url": "https://www.ycombinator.com/companies/momentic/jobs/938G5qp-founding-engineer-frontend",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
        "equity_range": "0.50% - 1.00%",
        "experience": "Any (new grads ok)",
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    ],
    "news": [
      {
        "title": "The Q/A Layer for the AI Coding Era",
        "url": "https://www.youtube.com/watch?v=UpWNdSVWA7M",
        "date": "Mar 23, 2026"
      },
      {
        "title": "Momentic raises $15M to become the AI-era ‘source of truth’ for software quality - SiliconANGLE",
        "url": "https://siliconangle.com/2025/11/24/momentic-raises-15m-become-ai-era-source-truth-software-quality/",
        "date": "Nov 24, 2025"
      },
      {
        "title": "Momentic raises $15M to automate software testing | TechCrunch",
        "url": "https://techcrunch.com/2025/11/24/momentic-raises-15m-to-automate-software-testing/",
        "date": "Nov 24, 2025"
      },
      {
        "title": "Momentic raises $3.7M to redefine software testing with AI - SiliconANGLE",
        "url": "https://siliconangle.com/2025/03/04/momentic-raises-3-7m-redefine-software-testing-ai/",
        "date": "Mar 04, 2025"
      }
    ],
    "launches": [
      {
        "id": 117199,
        "title": "Momentic: Mo, the AI QA engineer that finds bugs before your users do",
        "tagline": "Point Mo at your app. Get back the bug report, with repro steps, logs, and a video replay of each one.",
        "body": "**TL;DR:** Mo is an AI QA engineer. Give it any app (web, iOS, or Android) and a goal, and it launches hundreds of agents that bug-bash every nook and cranny of your app the way your team would before a release. You get one report: what was tested, what failed, repro steps, logs, and a video replay of each bug. We’re giving every sign up $250 in free credits at [momentic.ai](http://momentic.ai).\n\nLaunch video: <https://youtu.be/5RMQVtk-ayE>\n\n**Hey YC, we're Wei-Wei and Jeff.** We launched Momentic here in YC W24 as AI-powered end-to-end testing, and teams like Notion, Whatnot, and Retool run their test suites on it today. Today we're launching Mo.\n\n**The problem**\n\nClaude Code, Cursor, and Devin made writing code super easy. Testing is still the bottleneck. Over the past two years, our customers kept telling us: \"I don't want another script to write and maintain\" and \"Now I'm paying double, for QA and for a testing tool we have to use.\" No one asked for another testing framework to learn. All they wanted was no bugs.\n\n**How Mo works**\n\n1. Point Mo at your app and tell it what to test, in plain English: \"bug bash the checkout flow.\"\n2. Mo launches hundreds of agents in parallel on our hosted browsers and emulators/simulators. They click through the app just like a QA engineer would and cover every edge case, every nook and cranny.\n3. Every bug report has repro steps, logs, screenshots, and a video replay. File a ticket or hand it to your coding agent to fix.\n\n![uploaded image](/media/?type=post&id=117199&key=user_uploads/1327081/d363fb1e-977d-4c17-84dd-c3b9a8fcc89f)\n\nHere's one from this week. Mo hit Search on GitHub's Pull requests page without touching the prefilled query; GitHub wiped the query and threw an empty-query error. One prompt: \"bug bash\" plus the URL.\n\n**Results so far**\n\nNotion, Glide, Superpower and other teams put Mo on their own apps. Across the beta: Mo ran 1,100+ bug bashes and caught 3,500 verified bugs. One customer told us: \"I reviewed the findings and merged fixes for 10 of them. How did we not catch this already?\"\n\nIn our evals, Mo found 3.8x more bugs than Codex with Playwright MCP, 9x more bugs per hour, at half the cost per bug.\n\n![uploaded image](/media/?type=post&id=117199&key=user_uploads/1327081/a08dc6e5-a978-457b-9e88-d5ebce725be1)\n\n**Why we built it**\n\nWe started Momentic because we hated testing. At Nashi, I spent four hours every Thursday evening manually testing before a release. Two years of selling Momentic taught us that teams don't want better scripts; they want no bugs, so we built Mo to find them.\n\n**Our ask**\n\n* Try it on your app: [momentic.ai](http://momentic.ai), $250 in free credits on signup.\n* YC founders: we have a [sick YC deal](https://bookface.ycombinator.com/deals/2562) to redeem on Bookface.\n* Questions or a bug you want us to look at: DM me on X [@wuweiweiwu](https://x.com/wuweiweiwu).\n\nWei-Wei and Jeff",
        "url": "https://www.ycombinator.com/launches/UUJ-momentic-mo-the-ai-qa-engineer-that-finds-bugs-before-your-users-do",
        "votes": 211,
        "created_at": "2026-09-28T16:00:11.921Z"
      },
      {
        "id": 79067,
        "title": "Momentic - Automated testing with AI",
        "tagline": "Use AI to automate the most tedious parts of software development.",
        "body": "Hey everyone 👋 We’re Wei-Wei and Jeff and we're building [Momentic](https://momentic.ai). We're on a mission to make testing easy and fast for developers.\n\n# **TL;DR**\n\nDevelopers author E2E tests 10X faster with Momentic’s low-code editor. We make AI do the heavy lifting for you: finding elements, reasoning about assertions, visual comparisons, and even generating whole test cases!\n\n# **Testing still sucks!**\n\nThe average developer today still spends hundreds of hours every year writing and maintaining test suites in Selenium, Cypress, or Playwright. Existing no-code solutions like Browserstack and Tricentis are often unreliable and difficult to use, forcing teams to fallback on manual QA.\n\nThe bottom line is: **testing slows you down**, and all companies eventually encounter a tradeoff between velocity and quality.\n\n# **What if testing could help developers ship _faster_?**\n\nOur low-code test editor replaces traditional test scripts with AI-powered, self-healing steps. It seamlessly integrates into your existing workflows: from local development to CI/CD environments and production.\n\nHere’s how it works:\n\n_Interact with your app in plain English._\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/d3261cce-cd3a-4f9c-bc55-0cea1533260f)\n\n_Craft assertions from any logical statement or visual condition._\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/9a4fdfe4-f7d8-4183-a4a1-7b09ade815ac)\n\n_Record and replay actions on any site, even those on localhost._\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/25e50c1d-dd84-4e7f-aafa-00e33618b42e)\n\n# **Meet the team**\n\nWe’re [Wei-Wei](https://www.linkedin.com/in/hungweiwu/) and [Jeff](https://www.linkedin.com/in/jeff-an/) - two software engineers who dreaded testing so much we founded a company to do it for us 😂.\n\nWe-Wei was a founding engineer at Nashi and then a staff engineer at Density, leading product engineering and product reliability. Jeff led testing at Robinhood and enterprise quality at Retool, and saw first-hand how lack of testing can impact a company’s bottom line.\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/d66b58e4-4dfa-45f9-89c9-d2cfa4b9bc95)\n\n# **Our ask**\n\nMomentic is currently in private beta, working closely with early customers. We plan to give access to a select few companies in the next few weeks, so please reach out to [founders@momentic.ai](mailto:founders@momentic.ai) or [book a call](https://momentic.ai/demo).\n\nWe would love to work with you if:\n\n1. You want to use Momentic to accelerate development teams without sacrificing quality.\n2. You currently spend more time and resources than you’d like on testing.\n\nWe offer plans for teams of all sizes and offer features such as white-glove onboarding, accessibility audits, visual diffing, environments, source control, custom SSO, and migrations from existing frameworks.\n\nFor more details, visit [momentic.ai](http://momentic.ai).\n\nThank you!\n\nWei-Wei and Jeff",
        "url": "https://www.ycombinator.com/launches/KZH-momentic-automated-testing-with-ai",
        "votes": 341,
        "created_at": "2024-03-05T15:30:46.181Z"
      }
    ]
  },
  {
    "id": 29258,
    "name": "Saga AI",
    "slug": "saga-ai",
    "former_names": [
      "Odyssey",
      "Tile",
      "Tiles",
      "Tile"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/072186e7f08d3f47c6fb58088ebab611a4e67cd8.png",
    "website": "https://usesaga.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Saga AI deploys voice agents for healthcare practices, ACOs, and health systems to handle scheduling, patient intake, and care gap outreach. Agents connect directly to your EHR in real time.",
    "one_liner": "Voice Agents for Healthcare Operations",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1710167593,
    "tags": [
      "SaaS",
      "Healthcare",
      "Operations",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/saga-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/saga-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/102820110/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/072186e7f08d3f47c6fb58088ebab611a4e67cd8.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1531285,
        "full_name": "Jenica Zhong",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO of Tile. She was previously at Palantir for 4 years as a PM on their big data product (Foundry), Tactical Intelligence Targeting Access Node (TITAN), and AI-Assisted Decisions for Defense (Gotham). She majored in math at Harvard specializing in differential topology. She is also a math olympian who still enjoys solving USAMO problems in her free time as well as running marathons and oil painting (national-award winner!).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jenica-zhong",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3842357b5b60a5405bc5ec178f5324db9acbe2c1.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 79262,
        "title": "Tile: AI-first SQL notebook for building stunning data apps",
        "tagline": "A notebook with visual, low-code and SQL tiles. Every tile compiles to SQL so your work will never get stuck in a proprietary format.",
        "body": "Hi! We’re building [Tile](https://tile.sh/).\n\n### **About Us**\n\n[Jenica](https://linkedin.com/in/jenica-zhong) and [Jessica](https://linkedin.com/in/jfang707) have collectively spent 9 years data wrangling at Palantir. We have built AI models and analytics products for both commercial enterprise and defense customers. Before Palantir, Jenica studied Math/CS at Harvard, and Jessica studied CS at MIT.\n\n### **Problem**\n\n**1\\.   SQL is verbose and hard to use for exploratory data analysis**\n\nData analysis is an iterative and investigative process. While SQL remains the most powerful language for working with data, SQL syntax results in long code blocks that are unforgiving when trying to quickly explore data.\n\n**2\\. Plain english is good for describing a high level query, but not the right UI for refinement**\n\nAI has been an incredible technology for fetching the right general data and columns on a well-defined and metadata-rich semantic layer. However, analysts must write long descriptive sentences to refine the query.\n\n### **Solution**\n\n**Tile allows anyone to explore and investigate their data in modularized steps without the clunky syntax of SQL.**\n\nOnce the insight is found, convert your tiles to a SQL block so you still have the robustness of code when building reports to share this insight with others.\n\n**Vision: The future is AI-enabled data analysis and report building. However, for it to work, explainability will be key. Tile will allow AI to show its work with step-by-step tiles and allow end users to fine-tune its responses.**\n\n**Demo: Learn how Dwight can use Tile to explore Dunder Mifflin’s transactions data**\n\n<https://youtu.be/vRRoolP3jG0>\n\n### **Try Tile with your data**\n\n[Sign up for a free 14 day trial](https://www.tile.sh/free-trial-sign-up) using Tile with your data! Reach out to [jenica@tile.sh](mailto:jenica@tile.sh) for specific questions.\n\n![uploaded image](/media/?type=post&id=79262&key=user_uploads/1531285/e8f02166-1e64-4b01-9628-3065aaee99c5)\n\n",
        "url": "https://www.ycombinator.com/launches/KcQ-tile-ai-first-sql-notebook-for-building-stunning-data-apps",
        "votes": 162,
        "created_at": "2024-03-11T17:00:06.887Z"
      }
    ]
  },
  {
    "id": 29259,
    "name": "Newton",
    "slug": "newton",
    "former_names": [
      "Hemingway"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c86d4825b7d8c9d007a9e647ba90224508747fa.png",
    "website": "https://joinnewton.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Newton is the AI phone system built for retail healthcare practices—starting with dentists. We replace outdated phone systems and clunky communication tools with a modern agentic platform that handles scheduling, billing, and patient communication.",
    "one_liner": "AI-powered phone platform for dentists",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1704170538,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/newton",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/newton.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c86d4825b7d8c9d007a9e647ba90224508747fa.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1501399,
        "full_name": "Rohit Chaparala",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Newton (W24)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rohit-chaparala-53201710a",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6db8770ff9ea730b67dcf63c4de2c3ef37ae464b.jpg"
      },
      {
        "user_id": 1653711,
        "full_name": "Sam Detjen",
        "title": "Founder/CTO",
        "founder_bio": "Ex microsoft engineer and first time founder",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sam-detjen-93243b129?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a7a4bbb96ac5bb2574c8140eb1ed1c2def0abbf.jpg"
      }
    ],
    "jobs": [
      {
        "id": 70315,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/newton/jobs/V9kaQiR-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $180K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77826,
        "title": "Founding Business Development Representative ",
        "url": "https://www.ycombinator.com/companies/newton/jobs/EsRR2Qr-founding-business-development-representative",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$40 - $55",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Newton Raises $3.8 Million to Bring AI-Native Workflow Automation to Dental Practices – Unite.AI",
        "url": "https://www.unite.ai/newton-raises-3-8-million-to-bring-ai-native-workflow-automation-to-dental-practices/",
        "date": "Oct 22, 2025"
      }
    ],
    "launches": [
      {
        "id": 87264,
        "title": "Newton: AI-powered Phone Platform for Dentists and DSOs",
        "tagline": "Newton helps dentists and DSOs elevate their practice with AI",
        "body": "# **TL/DR –**\n\nNewton is an AI phone (VoIP) system for dentists and DSOs (large dental groups). Customers use Newton to grow their practice and eliminate attrition, keep their chairs full and days productive, and free their front desk to focus on what matters most: meaningful patient interactions. \n\n# **Problem**\n\nAsk any dental practice owner and they will tell you how difficult it is to manage and run a dental clinic. Insurance reimbursement rates have stayed flat for the past 30+ years while cost of labor and overhead continues to rise. Patients expect more choice and flexibility around booking (a trend that has increased post-COVID) which has led to greater rates of cancellations and attrition. \n\nAnd existing technology has failed practice owners, forcing them to employ a patchwork of manual point solutions that are bridged together by an overworked front desk that is juggling — among other tasks — phone calls, patient arrivals, and communication with third-parties like insurance.\n\n# **Solution**\n\nNewton is an AI phone platform that offloads manual and repetitive tasks from the front deask while boosting overall patient engagement and retention for the practice. At its heart is **Sophia,** a customizable AI agent who can handle calls and texts and book directly into the practice management software (PMS).\n\nhttps://www.youtube.com/watch?v=HvnKAkDCFJU\n\n**How Newton Helps:**\n\n1. **Automated appointment management:** Sophia monitors arrivals over phone and text. She seamlessly reschedules patients that can’t make their appointment and manages a waitlist in real-time to keep chairs full. \n2. **Targeted Patient Engagement:** Customers use Newton to build custom patient lists based on appointments, treatments, and insurance—and launch AI-powered campaigns on them to boost reactivation\n3. **24/7 Phone and Text Support:** Sophia's around-the-clock availability means no more missed or dropped calls. She handles calls on her own or escalates to staff with context when needed.\n4. **Online AI Chat & Forms:** Customers can embed Newton's AI on their website to streamline patient acquisition—automatically collecting insurance and intake details from start to finish.\n\n**Our Ask**\n\nAre you a dentist, office manager, or executive at a single location practice, multi-location group, or DSO? Do you know someone who is? [Book a demo](https://joinnewton.com/book-a-demo) with us today to see how Newton can help. ",
        "url": "https://www.ycombinator.com/launches/MhU-newton-ai-powered-phone-platform-for-dentists-and-dsos",
        "votes": 42,
        "created_at": "2025-01-29T06:13:09.996Z"
      },
      {
        "id": 79603,
        "title": "Hemingway: AI patient scheduler for dental practices",
        "tagline": "Hemingway books patients for dental practices using AI",
        "body": "Hey 👋 We’re [Rohit](https://linkedin.com/in/rohit-chaparala-53201710a) and [Sam,](https://www.linkedin.com/in/sam-detjen-93243b129?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app) co-founders at [Hemingway.](https://hemingwayai.co/)\n\n**Problem**\n\nPost-pandemic, dental practices have struggled to maintain profitability and growth due to staff shortages and rising overhead costs. In the face of these issues, they also continue to miss out on thousands of dollars in high-margin revenue due missed appointments and poor scheduling practices, as many rely on manual and inefficient workflows for patient scheduling.\n\nWhat makes it even trickier is that patient behavior is unpredictable, with patients regularly canceling their appointments and going inactive, creating additional strain on the front desk. \n\n**Solution**\n\nHemingway is an AI patient scheduler for dental practices. Through one-click, practices integrate our software with their existing EHR. Our AI agent books unscheduled patients, handles inbound requests for appointments, and automatically reschedules cancellations as they occur. We enable booking through phone, text, and web-based chat. \n\nOur software books a patient a day on average for customers, leading to thousands in net new revenue per week. We see scheduling as a powerful wedge into managing a broader set of administrative tasks for practices with patients around insurance, payments, and clinical follow up.\n\n[Voice Demo](https://www.youtube.com/watch?v=kt5Wl6WAqLk&ab_channel=SamDetjen)\n\n![uploaded image](/media/?type=post&id=79603&key=user_uploads/1501399/d2dfd076-fb62-4eae-8e9f-ca05f551c0ea)\n\n**Team**\n\nWe met as summer interns in NYC during college and have been friends since. Rohit studied CS at Brown and was a solutions engineer at Lithic, a series C fintech where he was working on deals across enterprise and early-stage startups. Sam studied CS at Northwestern and was at Microsoft for four years where he led a team within Azure. \n\n**Ask**\n\nWe would welcome a warm introduction to your dentist! You can reach us at [rohit@hemingwayai.co](mailto:rohit@hemingwayai.co)",
        "url": "https://www.ycombinator.com/launches/Khv-hemingway-ai-patient-scheduler-for-dental-practices",
        "votes": 18,
        "created_at": "2024-03-22T00:13:17.607Z"
      },
      {
        "id": 77983,
        "title": "Hemingway: AI Patient Scheduler for Dental Practices",
        "tagline": "Hemingway is an AI-powered scheduling platform that empowers dental practices to automate scheduling",
        "body": "Hey 👋 We’re [Rohit](https://linkedin.com/in/rohit-chaparala-53201710a) and [Sam](https://www.linkedin.com/in/sam-detjen-93243b129?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app), co-founders at [Hemingway](https://hemingwayai.co/).\n\n---\n\n---\n\n—\n\n**Problem**\n\nManaging scheduling is a daily struggle for dental practices. Patients regularly cancel, no-show, or go inactive, making managing appointments and patients unpredictable and difficult to track. Practices today use a combination of manual workflows and a patchwork of software solutions to manage bookings. This messy, hit-and-miss approach leads to dozens of missed appointments every month and thousands in lost monthly revenue per practice.\n\n**Solution** \n\nHemingway is an AI patient scheduler for dental practices. Through one-click, practices integrate our software with their existing EHR. Our AI agent books unscheduled patients, handles inbound requests for appointments, and automatically reschedules cancellations as they occur. We enable booking through phone, text, and web-based chat.\n\nOur software books a patient a day on average for customers, leading to thousands in net new revenue per week. We see scheduling as a powerful wedge into managing a broader set of administrative tasks for practices with patients around insurance, payments, and clinical follow up.\n\nHemingway delivers several immediate benefits:\n\n* **More bookings:** practices can use AI to book new, overdue, or unscheduled patients \n* **Time saved:** hours saved on routine manual work like reactivation campaigns or daily requests to reschedule \n* **Improved patient experience:** patients can book faster and more intuitively, increasing practice retention and patient loyalty\n\n[Voice Demo](https://www.youtube.com/watch?v=kt5Wl6WAqLk)\n\n![](https://framerusercontent.com/images/HHqI8w1Uz5bzVDI61fPmuS7RBU.png)\n\n**Team**\n\nWe are a team of two, passionate about building best-in-class operating infrastructure for a large vertical looking for modern alternatives. Rohit is an ex-fintech solutions engineer, consultant, and Brown undergraduate. Sam is an ex-Microsoft software engineer and Northwestern undergraduate.\n\n![uploaded image](/media/?type=post&id=77983&key=user_uploads/1501399/83459cbe-4b91-4f1b-aff9-9ce4136b5df9)\n\n**Ask**\n\nIf you are in the dental industry or know someone in the space, please let us know! You can reach out to [rohit@hemingwayai.co](mailto:rohit@hemingwayai.co) or book time [here.](https://calendly.com/rohit-hemingway)",
        "url": "https://www.ycombinator.com/launches/KHn-hemingway-ai-patient-scheduler-for-dental-practices",
        "votes": 18,
        "created_at": "2024-01-30T18:29:38.122Z"
      }
    ]
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    "id": 29260,
    "name": "Quary",
    "slug": "quary",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54d14cc55231dd1bd8f1cfd85b8f8366f88fae7.png",
    "website": "https://www.quary.dev",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Quary is the first analytics engineering platform that brings the entire model-test-deploy workflow into the browser. \r\n\r\nAt our first customer, a fast-growing fintech company, Quary empowers analysts in the growth team to self-serve, contribute, and reduce reliance on the data engineering team, letting teams ship metrics faster & executives get answers sooner",
    "one_liner": "The first in-browser analytics engineering platform",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1707148568,
    "tags": [
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      "Data Science",
      "Data Engineering",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
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    "regions": [
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      "Europe",
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      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/quary",
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    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/quarylabs",
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    "github_url": "https://github.com/quarylabs/",
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    "founders": [
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        "user_id": 1400304,
        "full_name": "Benjamin King",
        "title": "Founder",
        "founder_bio": "American and British Luxembourger. Failed physicist. Cofounder and ex-CTO of Tumelo. Now working on Quary.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/benfking",
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        "user_id": 528679,
        "full_name": "Louis Jordan",
        "title": "Founder",
        "founder_bio": "Ex-Amazon (Data/Fintech)",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/louis-j-52841a105",
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    "news": [],
    "launches": [
      {
        "id": 78152,
        "title": "🆀 Quary - Transform data together 🤝",
        "tagline": "Stop depending on your data team and bring everyone into the data action!",
        "body": "**tl;dr: Quary connects to your data warehouse and lets your team transform raw data into valuable insights in seconds, right from your browser! Try our free trial:** [www.quary.dev](http://www.quary.dev)\n\n\\\nHey 👋. [Ben](https://linkedin.com/in/benfking) and [Louis](https://www.linkedin.com/in/louisjor/) here, we’re excited to share what we’ve been up to! [Quary](https://www.quary.dev/) is a browser-based **SQL transformation tool** that turns your raw data— whether in Snowflake, BigQuery, or DuckDB— into organized, well-documented & tested transformations.\n\n![uploaded image](/media/?type=post&id=78152&key=user_uploads/528679/2e025d53-262b-4795-823a-57dba3ba798e)\n\n**❌ The problem**\n\nData engineers make up **5%** of businesses. They dig for insights for the other **95%** with predictable outcomes: siloed & overworked data teams, unshared knowledge, and delayed answers to critical business questions.\n\n**✅ The solution**\n\nQuary makes data engineering collaborative, sharing the responsibility across the organization. With Quary, **5%** becomes **50%**. Anyone who writes SQL can build production-grade pipelines in minutes.\n\n**The team**\n\n**Ben** and **Louis** here, we’re originally from Luxembourg 🇱🇺. Ben founded [Tumelo](https://www.tumelo.com) and led engineering there through its Series A. Louis survived a 4-year stint as a Software Engineer in Finance at Amazon.\n\n**Try out our free trial:** <https://www.quary.dev>",
        "url": "https://www.ycombinator.com/launches/KKW-quary-transform-data-together",
        "votes": 138,
        "created_at": "2024-02-05T15:57:48.178Z"
      }
    ]
  },
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    "id": 29261,
    "name": "malibou",
    "slug": "malibou",
    "former_names": [
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    "website": "https://www.malibou.com",
    "all_locations": "Paris, IDF, France",
    "long_description": "malibou is a web application helping French SMBs to manage employees, run payroll and track compliance in a single app.\r\n\r\nWhen processing payroll in France, you either have the choice between an accountant with good advice but no way to connect an HRIS with him, or a good HRIS that does not include payroll services. It was time for a change, to finally bring payroll and HR at the same place. \r\n\r\nDue to increasing competition in the space, French payroll engines have just opened their APIs. This allows us to offer a unified payroll and HR solution, which wasn't possible before.",
    "one_liner": "the first all-in-one payroll and HR software for French SMBs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1708619599,
    "tags": [
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      "Productivity",
      "HR Tech",
      "Payroll",
      "SMB"
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    "tags_highlighted": [],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
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      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/malibou.json",
    "year_founded": 2023,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/malibou-hr/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1585512,
        "full_name": "Maxence Drummond",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO @malibou 🌴. Graduated from Science Po in Paris, France. After school, I started working in SF helping French tech startups to land in the U.S.. Then joined a VC fund in Paris called Breega, went from associate to Partner, stayed there 5 years and opened their office in the U.K.. Wanted to go to the other side of the table, this time as an entrepreneur!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/maxence-drummond-485057b4",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e112998a6941561b4e6fee85ef6841d00a68404.jpg"
      },
      {
        "user_id": 330417,
        "full_name": "Alexandre Pernin",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO @malibou 🌴. Spent my college days studying Maths and Computer Sc. at CentraleSupelec, followed by a second master at the Paris School of Economics. After school, I co-founded a first YC startup in the data space, then joined Theodo (Thoughtworks equiv.) to build various B2B tech products. Now I'm back at YC for round #2, this time as CTO in the HR & Payroll space.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alexandre-pernin-602308a3",
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    "jobs": [],
    "news": [
      {
        "title": "Malibou: French Payroll Startup Raises $3.3 Million From Breega and YC - Business Insider",
        "url": "https://www.businessinsider.com/malibou-french-payroll-startup-raises-3-million-from-breega-yc-2024-6",
        "date": "Jun 04, 2024"
      }
    ],
    "launches": [
      {
        "id": 79030,
        "title": "🌴 malibou - Simple French payroll",
        "tagline": "Meet malibou, the first all-in-one payroll and HR software for French SMBs",
        "body": "\\[**tl;dr**\\] French payroll is so complex that no one has been able to build the Justwork or Gusto for France. This is coming to an end— we’re building the first all-in-one payroll and HR software for every French startup and SMB.\n\nHey y’all, we’re Max and Alex, the team behind [malibou](https://www.malibou.co/). We’re here to fix French payroll.\n\n![uploaded image](/media/?type=post&id=79030&key=user_uploads/89898/9981454f-3181-4baa-b681-a0fb9d76168d)\n\n**❌ The problem**\n\nRunning payroll in France is tough! There are 800 different labor agreements with its own set of rules, and each company belongs to a different one.\n\nSo when processing payroll in France, you either have the choice between\n\n1/ an accountant with good advice but no way to connect a good HRIS with him. Everything is manual (excel file, emails…)\n\n2/ a good HRIS that does not include payroll services— no one wants to deal with French payroll\n\n**✅ The solution**\n\nMalibou is the first all-in-one payroll and HR software for every French startup and SMB.\n\nOur promise is the following: 1/ We provide best-in-class HRIS designed for local compliance and 2/ We provide expert help so that HR managers and CEOs don’t have to deal with bureaucracy.\n\nThanks to malibou, companies can manage employee repositories, onboard newcomers in a few clicks, accept leave requests, validate and distribute payslips, pay their team from the app, and ask any questions related to social laws to our experts. Employees benefit from direct access to malibou.\n\n![uploaded image](/media/?type=post&id=79030&key=user_uploads/1585512/bc7eac7b-0867-422b-b423-d459248f6c2d)\n\n**👥 The team**\n\n[**Max**](https://www.linkedin.com/in/maxence-drummond-485057b4/) and [**Alex**](https://www.linkedin.com/in/alexandre-pernin-602308a3/) here, originally from France 🇫🇷.\n\nMax was a VC partner at Breega, where he opened the London office.\n\nAlex is a software engineer and also an ex-YC founder.\n\n**🙏 Ask: How you can help**\n\n* Share this with anyone you know who is employing people in France\n* If you have questions or requests, email us at [maxence.drummond@malibou.co](mailto:maxence.drummond@malibou.co)\n* You can also book a meeting with Max [here](https://calendar.app.google/1raqzyT4ufWPmrxeA)",
        "url": "https://www.ycombinator.com/launches/KYg-malibou-simple-french-payroll",
        "votes": 43,
        "created_at": "2024-03-04T18:55:43.779Z"
      }
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  {
    "id": 29263,
    "name": "Alex",
    "slug": "alex-com",
    "former_names": [
      "Apriora"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98b76c25c75fac04ce234cc570b0dd988698507a.png",
    "website": "https://alex.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Alex interviews, screens, and schedules every candidate – over voice, video, and text – so talent teams hire more great people, faster, without adding TA headcount. The recruiter stays in control: every shortlist is approved by a human, and every relationship and offer is owned by the customer's team.\r\n\r\nWe're past 1M+ interviews, integrate with 33+ ATS platforms, and 96% of candidates prefer interviewing with Alex. We're revenue-generating, well-funded, backed by premier investors, and are focused on enterprise customers: selling to VPs of Talent Acquisition, CHROs, and CFOs at large employers who are rethinking how hiring gets done at scale.",
    "one_liner": "Alex is the AI recruiter for hiring great people.",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1703103445,
    "tags": [
      "SaaS",
      "B2B",
      "Recruiting",
      "HR Tech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Recruiting and Talent"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/alex-com",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/alex-com.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hire-alex/",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/alexai",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1130140,
        "full_name": "Aaron Wang",
        "title": "Founder/CEO",
        "founder_bio": "Before Alex AI, Aaron worked in quant finance and at Facebook AI. He studied computer science, applied math, and economics at Brown.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aaronjwang",
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      },
      {
        "user_id": 1649378,
        "full_name": "John Rytel",
        "title": "Founder/CTO",
        "founder_bio": "Technical co-founder who just builds.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/john-rytel-955436221",
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        "title": "Account Manager",
        "url": "https://www.ycombinator.com/companies/alex-com/jobs/94T4yHu-account-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.10% - 0.15%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106644,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/alex-com/jobs/tLgp1Yw-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.05% - 0.15%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Alex: Your AI Recruiting Partner",
        "url": "https://www.youtube.com/watch?v=3FJV-Gmrpa8",
        "date": "Sep 29, 2025"
      },
      {
        "title": "AI recruiter Alex raises $17M to automate initial job interviews | TechCrunch",
        "url": "https://techcrunch.com/2025/09/29/ai-recruiter-alex-raises-17m-to-automate-initial-job-interviews/",
        "date": "Sep 29, 2025"
      },
      {
        "title": "The Pitch Deck This AI Recruiter Startup Used to Raise Seed Funding ",
        "url": "https://www.businessinsider.com/pitch-deck-ai-recruiter-startup-apriora-seed-funding-2024-5",
        "date": "May 15, 2024"
      },
      {
        "title": "Your Next Job Interview May Be With ‘Alex,’ The AI Interviewer",
        "url": "https://www.forbes.com/sites/jackkelly/2024/05/10/your-next-job-interview-may-be-with-alex-the-ai-interviewer/?sh=3a44b4d976f2",
        "date": "May 10, 2024"
      }
    ],
    "launches": [
      {
        "id": 78994,
        "title": "Alex (fka Apriora) - Your AI interviewer to identify the best candidates faster",
        "tagline": "Reduce recruiting overhead, interview more candidates, and make better hiring decisions.",
        "body": "### TLDR\n\n[**Alex**](https://www.alex.com/) **interviews job candidates in real time.** Companies using Alex reduce recruiting overhead, interview more candidates, and make better hiring decisions. For candidates, we provide an equitable, interactive interviewing experience.\n\n### 📸 Intro\n\nHey all! We’re [Aaron Wang](https://linkedin.com/in/aaronjwang) and [John Rytel](https://linkedin.com/in/johnrytel) from Alex (fka Apriora).\n\n![uploaded image](/media/?type=post&id=78994&key=user_uploads/1130140/794bc140-1ba0-4b71-bdaa-8b29d09722bf)\n\n### **❌** The problem\n\n**Interview processes are slow and expensive.** Companies spend over $5,000 per hire, most of which is time spent by internal recruiting teams and hiring managers interviewing candidates, and the average length for an interview process is \\~30 days.\n\nExisting video interviewing platforms were built to solve this for companies, but their one-way interfaces and cookie-cutter questions create a disappointing candidate experience, resulting in low completion rates and a limited hiring signal.\n\nHow can we offer companies the efficiency of interview automation while providing candidates with a personalized, conversational interview experience?\n\n### 🚀 The solution\n\n**Our AI interviewer conducts real-time video interviews with candidates**, including technical screens, phone screens, system design, coding, behavioral, and more.\n\nUnlike interviewing your candidates manually or with an automated assessment, Alex is:\n\n* **Convenient**: Your AI interviewer is ready to interview candidates 24/7 with unlimited capacity.\n* **Candidate First**: Over 90% of scheduled candidates complete their interviews with an average candidate experience rating of 4.5/5.\n* **Reliable**: Data-driven feedback after each interview is customized to your hiring goals so you can feel confident that you’re moving forward with the right candidates.\n* **Robust**: Alex’s fairness system flags cheating based on multi-modal data, so you can trust your interviewer’s feedback.\n* **Accessible**: One-click integration with your ATS so you don’t need to change your workflow.\n\n![uploaded image](/media/?type=post&id=78994&key=user_uploads/1130140/ef44f880-fb72-4e1d-a641-eb413571aaa5)\n\n_Check out a full interview at apriora.ai/demo_\n\n### 🙏 Ask: How you can help\n\n1. **Who do you know in recruiting or talent acquisition?** We want to learn more about their work and help them! Reach out to [founders@apriora.ai](mailto:founders@apriora.ai).\n2. **Who do you know that’s hiring and could benefit from AI interviewing?** Reach out to [founders@apriora.ai](mailto:founders@apriora.ai).\n\nThe blurb: “My friends are working on a YC company building AI interviewers that conduct real-time video interviews. I think this could be relevant to you, so feel free to check them out and contact [founders@apriora.ai](mailto:founders@apriora.ai) for more.”\n\n### **🤝** The Deal\n\n**Sign up before Demo Day** to get started with our YC Deal. Reach out to [founders@apriora.ai](mailto:founders@apriora.ai) to set up your custom interviewer.\n\n❤️ _Thank you for taking the time to read through this. We’d love to hear your thoughts about what we’re building. Find some time [here](https://calendly.com/apriora/aaron) or shoot us an email._",
        "url": "https://www.ycombinator.com/launches/KY6-alex-fka-apriora-your-ai-interviewer-to-identify-the-best-candidates-faster",
        "votes": 545,
        "created_at": "2024-03-04T02:36:40.405Z"
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    "name": "Pretzel AI",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1708296726,
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        "full_name": "Aditya Rajagopal",
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        "full_name": "Diederik Vink",
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      {
        "id": 98338,
        "title": "nCompass - Optimize performance on GPUs, 10x faster",
        "tagline": "Automate performance optimization at all levels of the AI infrastructure stack",
        "body": "Hey everyone,\n\n**tldr;**\n\nI’m Aditya, co-founder of [nCompass Technologies](https://ncompass.tech). We’re building a developer tool that unifies profiling, trace collaboration and trace analysis of AI systems. We automate performance optimization of AI systems across all levels of the infrastructure stack.\n\nUsing this tool, we implemented a Hopper GEMM kernel that outperformed NVIDIA's CUTLASS GEMMs by 3%, within a day - this took us months before.\n\nCheckout our product demo below. It’s free to use and you can get started today in **VS Code, Cursor or Claude Code** - [Quick Start](https://docs.ncompass.tech/quick-start)\n\n<https://www.youtube.com/watch?v=Q3Pq-BPU2Ec>\n\n**THE PROBLEM**\n\nIdentifying the root cause of performance bottlenecks is 4-8x slower than writing the code to fix them.\n\nIf you are optimizing a system like vLLM, you have to:\n\n* Run a profile and then copy a giant trace file to your local machine just to view it.\n* Spend hours identifying opportunities for performance improvement.\n* If this involves writing a kernel, you profile the kernel, spend hours or days digging through ncu traces that are massive data dumps.\n* Then you identify your bottlenecks and formulate a plan.\n\nRunning this loop till you have a performant system can take weeks, even months.\n\n**OUR SOLUTION**\n\nBy building an AI agent that can analyze profiling data as well as interact with a bank of deep technical knowledge and expertise, we’re automating the process of identifying performance bottlenecks.\n\nNow in a single VSCode interface, you can:\n\n* Open and view trace files\n* Use our novel tools like trace diffs to analyze them\n* Generate share links to easily share traces with team members\n* Feed source + profiling data to our AI agent and get back actionable analysis on how you can optimize the performance of your system.\n\nThis applies to both systems and GPU kernel level analysis and our agent integrates directly into Cursor / Claude Code, so you never have to leave your normal workflow!\n\n**Anyone** can now write both correct and performant code with AI!\n\n**ASKS**\n\n**Install our VSCode extension** and start optimizing your systems performance!\n\n* [Quick Start](https://docs.ncompass.tech/quick-start)\n* [Detailed Docs](https://docs.ncompass.tech)\n\n**We also offer FDE services** - if you would like us to step in and analyze your system’s performance and provide you with an analysis of how much we could improve it by - reach out at [hello@ncompass.tech](https://mailto:hello@ncompass.tech)\n\n![uploaded image](/media/?type=post&id=98338&key=user_uploads/1641909/fc628a90-5565-43db-8aff-7c61e476e976)\n\n",
        "url": "https://www.ycombinator.com/launches/Pa6-ncompass-optimize-performance-on-gpus-10x-faster",
        "votes": 19,
        "created_at": "2026-03-02T17:12:19.098Z"
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      {
        "id": 84604,
        "title": "nCompass Technologies: Reliable LLM API with no rate-limits",
        "tagline": "The most cost-effective way to setup and scale up your AI infrastructure.",
        "body": "# **Tl;dr:**\n\nWe’ve built an AI model inferencing system that can serve requests at scale like no other and now we’re releasing it to the public as a **rate-limit-free API**. We serve any open-source LLM and can also deploy optimized versions of your custom fine-tuned LLM with cost-effective autoscaling. [Sign up here](https://console.ncompass.tech/login), create an API key, get $100 of credit on us, and run as many requests as you like!\n\n# **The Problem**\n\nDeploying AI models in production requires expensive infrastructure. Serving more than \\~10req/s using open source inference engines like vLLM on a single GPU results in terrible quality of service. Time-to-first-token skyrockets to more than 10s, and end-to-end latency degrades even more!\n\n**The common solution**: horizontally scale up GPUs.\n\n**The problem**: GPU’s are expensive and hard to find.\n\n# **Why should you care**\n\n1. **API user:** These high infrastructure costs are the reason you suffer rate limits when using existing API providers.\n2. **Deploying on-prem:** Your infrastructure costs might be the reason a PoC doesn’t move to production.\n\n# **Our Solution**\n\nWe’ve built an AI inference serving system that can sustain 100s of requests per second while maintaining a time-to-first-token of <1s on \\~30% fewer GPUs when compared to NVIDIA’s NIMs containers and up to **2x fewer GPUs** when compared to vLLM.\n\nThis enables us to provide a rate-limit-free API while maintaining a high quality of service. Alternatively, we can provide this as a cost-effective on-prem deployment solution, ensuring your infrastructure costs don’t blow up with requests served. We support any open source model and can host your custom fine-tuned model as an API with autoscaling enabled as well.\n\n# **Tutorials**\n\n* [**Sign Up**](https://www.loom.com/share/bac5c44a8e694b5783f3ba7c777ce40a?sid=6226613a-2cd6-45e6-bfc3-ac0381198b2a)\n* [**Models and Pricing**](https://www.loom.com/share/f7dc12aefe304399a3975feef7e38938?sid=34c2a174-4050-40bc-b65a-844d3002e48c)\n* [**Run Inference**](https://www.loom.com/share/0933dc3fa2ba442fa789286ef75e09b8?sid=74266aa3-f24e-46d7-bcce-1f3c61d7d82e)\n\n# **Shout out**\n\nTo be able to build such a scalable and available system, we needed a top-quality hardware provider. We wanted to use this as an opportunity to shout out [Ori Global Cloud](https://www.ori.co/), a key partner in this journey, to enable a serverless Kubernetes platform for AI inference at scale. [Ori Serverless Kubernetes](https://www.ori.co/serverless-kubernetes) is an infrastructure service that combines powerful scalability, simple management, and affordability to help AI-focused startups realize their wildest AI ambitions. [Reach out to Ori](https://www.ori.co/gpu-request) for exclusive GPU cloud deals!\n\n# **Asks**\n\n* Use our self-serve console (<https://console.ncompass.tech/login>) to create an account and start running with $100 of credit.\n* Book a demo (<https://calendar.app.google/3jRDwcstFQvsbqnR8>) if you would like to discuss an on-prem solution. YC deals apply!\n\nOur pricing is transparent and can be found here: <https://console.ncompass.tech/public-pricing>",
        "url": "https://www.ycombinator.com/launches/M0a-ncompass-technologies-reliable-llm-api-with-no-rate-limits",
        "votes": 37,
        "created_at": "2024-10-09T14:26:51.395Z"
      },
      {
        "id": 81420,
        "title": "nCompass Technologies: Realtime audio denoising",
        "tagline": "nCompass's newest model is a realtime audio denoiser that can remove voices from the background of audio streams.",
        "body": "**tl;dr** nCompass has released the world’s first **Realtime Audio Denoising API** that can remove background voices from your audio stream in real time. Try it out for free on our website [here](https://www.ncompass.tech/about).\n\nToday, the world is increasingly interacting with AI models using voice. Apps and tools that rely on voice input need to be able to successfully separate background voices from the main speaker’s voice. However, this is not the case with existing voice AI products such as Deepgram’s speech-to-text (STT) converter.\n\nCheck out this demo below that shows how using nCompass’s denoiser can enable transcription tools (such as Deepgram’s STT) to be used in previously unusable scenarios.\n\n![uploaded image](/media/?type=post&id=81420&key=user_uploads/1641909/61bc7f02-4a23-4ab2-b7fc-cd2a8ad3b01e)\n\nWe have two versions of this denoiser that you can try out for free on our [website](https://www.ncompass.tech/about).\n\n1. [Offline denoising + transcription](https://www.ncompass.tech/cleaner_transcription/interactive_demo) mode, which generates cleaner transcriptions when paired with any speech-to-text provider.\n2. [Realtime audio denoising,](https://www.ncompass.tech/realtime_denoising/interactive_demo) which can take in an audio stream and remove background voices in real time. You can now get the sound quality of a private booth, regardless of where you are!",
        "url": "https://www.ycombinator.com/launches/LBE-ncompass-technologies-realtime-audio-denoising",
        "votes": 24,
        "created_at": "2024-06-11T16:23:04.390Z"
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      {
        "id": 79124,
        "title": "nCompass Technologies - Low-latency deployment of AI models made easy",
        "tagline": "nCompass is an API that requires only one-line-of-code to integrate low latency versions of open-source/custom models into your AI pipeline.",
        "body": "**tl;dr** If unpredictable response times and rate limits of OpenAI are causing your tool’s user experience to suffer, [nCompass](https://ncompass.tech/) allows you to effortlessly tap into the world of open-source AI models while ensuring that the served models meet your target budget and performance requirements.\n\n—\n\nHey all, we are [Diederik](https://linkedin.com/in/diederik-vink) and [Aditya](https://linkedin.com/in/adityarajagopal), the co-founders of [nCompass](https://ncompass.tech/), a platform for simplified hosting and acceleration of open-source and custom LLMs.\n\n### **The Problem**\n\nLLM-based products that use closed-source model providers like OpenAI suffer from slow response times and rate limits. \n\nOpen-source models are a great alternative, but hosting a model yourself is a lot of extra work and maintenance which distracts you from your core business.\n\n### **Our solution**\n\nnCompass provides an API that allows you to integrate accelerated versions of any open-source or custom model of your choice into your AI pipeline. We support OpenAI style chat templates, work with all web frameworks, and have a time-based pricing model that results in a predictable compute cost for users.\n\n### **How it works**\n\nWe serve models to users with a simple 3-step process:\n\n1. Select your desired open-source / custom model\n2. Provide your performance requirements\n3. Set a budget you are not willing to exceed\n\nWe set up the deployment that meets these requirements and provide you with a single API Key that you can then use to integrate the model with a single line of code.\n\nWe support any model currently hosted on Hugging Face, with some highlights being: \n\n* **Mistral-7B :** 160ms Time-To-First-Token @ 86 tok/s\n* **Mixtral-8x7B :** 300ms Time-To-First-Token @ 64 tok/s\n\n### **Demo**\n\n<https://www.youtube.com/watch?v=sdHVji8QGOg> \n\nAlso, check out our [GitHub](https://github.com/nCompass-tech/nCompass) repository for code examples.\n\n### **The team**\n\nSince we met in undergrad (9 years ago) through to our PhDs at Imperial College London, we’ve worked on every project together. Our PhDs focused on hardware acceleration of large-scale machine learning models covering all levels of the stack from algorithms and compilers down to digital hardware design.\n\n![uploaded image](/media/?type=post&id=79124&key=user_uploads/1641909/8f0f2b1e-8c86-4269-828e-a90176159dd6)\n\n### **Asks**\n\n* Book a [demo](https://calendar.app.google/eLCRjByYErh9X2hh9) \n* **Warm intros** to anyone you know who requires accelerated and/or hosted versions of open-source models.\n\nOur emails are [aditya.rajagopal@ncompass.tech](mailto:aditya.rajagopal@ncompass.tech) and [diederik.vink@ncompass.tech](mailto:diederik.vink@ncompass.tech)",
        "url": "https://www.ycombinator.com/launches/KaC-ncompass-technologies-low-latency-deployment-of-ai-models-made-easy",
        "votes": 97,
        "created_at": "2024-03-06T18:41:41.718Z"
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    "name": "Garage",
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    "website": "https://www.shopgarage.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Garage is modernizing how America buys and sells the vehicles and equipment that keep communities safe. Our AI-powered marketplace automates every part of the transaction—appraisals, payments, paperwork, freight, warranty, and financing—reducing what once took months down to minutes.\r\n\r\nBy replacing broken, manual processes with modern software, Garage helps critical equipment reach communities faster—saving taxpayer dollars and supporting the industries that keep America running.\r\n\r\nWe've raised $18M to date, and are backed by Y Combinator, Initialized Capital, Infinity Ventures, FJ Labs, and other leading investors.\r\n",
    "one_liner": "Marketplace for America's most essential assets",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709146834,
    "tags": [
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        "location": "New York City",
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        "title": "Founding Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/garage-2/jobs/hzyQTbi-founding-technical-recruiter",
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        "title": "YC-backed Garage raises $13.5M to help firefighters buy equipment | TechCrunch",
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        "url": "https://techcrunch.com/2024/04/04/ycs-latest-demo-day-shows-fascinating-wagers-on-healthcare-chip-design-ai-and-more/",
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        "title": "🚒 Garage - Helping fire departments buy & sell equipment",
        "tagline": "Garage is a marketplace for used equipment, starting with firefighting equipment. ",
        "body": "We’re [Martin Hunt](https://www.linkedin.com/in/martin-hunt-a3392999/) and [Alaz Sengul](https://www.linkedin.com/in/alazsengul/), founders of [Garage](https://www.withgarage.com/).\n\n**How it started**\n\nIn 2015, I joined my local fire department as a volunteer _(young, but not as young as I was in this picture)_. In the years that followed, I completed 1500+ hours of training, got certified as an EMT, and started working as a paid firefighter at neighboring departments.\n\n![](https://lh7-us.googleusercontent.com/Kdv8ZUe-MfNOZvEskv1GQU0aXpYs1XqlrUwY4XCc4PV2ZZMzc0lbdQJm8a7ak0FuA8rBCRPyl2t2L0Jf2AbW3dlLLERHv8SJEiQgnxc4RdLqJwItDewo67zmGmcA1hTZOjnl1GDgAlfZS0_jXgLWFLs)\n\nWhen my department bought new equipment or a new truck, we would turn to Facebook groups and word of mouth to sell our used equipment to other departments in need. For perspective, a new fire truck costs $1.5 to $2.5 million, with used trucks ranging in cost from $50,000 to $1 million.\n\nIt was a super frustrating process for us:\n\n* Countless hours spent trying to find buyers in-need\n* Navigating and losing money to scammers \n* Coordinating independent logistics and financing providers\n\n![](https://lh7-us.googleusercontent.com/Nlia4iAX3VLFWzUeLBsQgbZu6fiSPTbxgaMbOSV0D2QyN0WD0HzLfP0KiAikBAqB0ne8IDW9gcko8r0V4bJ888yzOv_nTGlxYG-VTWtKW3WeJ7PEG2Ddg3rOgPGS6VVzU6ck2assojpGN4F8Wv0pFWQ)\n\n**Garage’s Solution**\n\nGarage helps fire departments buy and sell used equipment in seconds rather than days. Our marketplace handles payments, freight, and financing – making buying and selling equipment easy.\n\nWe're starting with fire departments because of my personal background, but the same problem of selling used equipment exists in many other verticals including construction, agriculture, and government surplus equipment. \n\n**Meet the team**\n\nWe met while both studying at Columbia and have been friends for 6+ years. Before starting Garage, Alaz worked at Twitter and MemAI as a software engineer, and I worked as a private equity investor at Goldman Sachs.\n\n**Email us at **[**founders@withgarage.com**](mailto:founders@withgarage.com)**.**",
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        "user_id": 699099,
        "full_name": "Blake Rouse",
        "title": "Founder/CEO",
        "founder_bio": "Blake Rouse is the co-founder and CEO of Keystroke. Previously, he led product development at a bootstrapped analytics startup (DataSpark, acqd by Threecolts). Blake is originally from South Carolina. He studied Product Management and Computer Science at BYU for three years before dropping out to start Keystroke.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/cblakerouse",
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        "user_id": 830598,
        "full_name": "Dallin Bentley",
        "title": "Founder",
        "founder_bio": "All things AI",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dallinbentley",
        "x_url": "https://twitter.com/dalbentley",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/243363943a7a9ccbaf8b4ae87b177729e40dbbc0.jpg"
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    "launches": [
      {
        "id": 105225,
        "title": "Keystroke - open sourcing our internal agents & automations platform",
        "tagline": "An all-in-one platform for building internal agents & workflows.",
        "body": "**_tl;dr:_** Keystroke is an all-in-one platform for building internal agents and workflows. It's built from the ground up with coding agents in mind. Build agents and workflows as TypeScript in your own repo, then deploy them to a web app where your whole team can use them.\n\nTry it free: <https://keystroke.ai/> \\\nGitHub: <https://github.com/keystrokehq/keystroke>\n\n### why we built keystroke (our pivot story)\n\nHey everyone, we’re [Blake](https://x.com/cblakerouse) and [Dallin](https://x.com/dalbentley) from [Keystroke](https://keystroke.ai/home). Keystroke is a recent pivot from Buster, our original YC W24 idea.\n\n![uploaded image](/media/?type=post&id=105225&key=user_uploads/699099/e5ee8874-7b36-45d5-b9cd-f0f96cd14846)\n\nAt Buster, we spent a lot of time building internal agents and automations. We used visual platforms like n8n and Gumloop, as well as code-first tools like Trigger.dev, Mastra, and several of Vercel’s open frameworks. We genuinely liked many of them, but kept encountering two different problems:\n\n1. Visual tools gave us integrations, credentials, hosting, and an application the rest of the team could use. They were fast initially, but became difficult to maintain as the systems grew. Tests and typechecks were limited, JSON blobs were hard to review, and debugging failures was painful.\n2. Code-first tools gave us ordinary TypeScript, tests, npm packages, and a codebase that coding agents could work with directly. But after building something, we were deploying it to infrastructure rather than an application people could use. We still needed to configure the chat UI, streaming, credentials, integrations, run history, permissions, and sharing ourselves.\n\nSo, we started building the thing we wish existed: a code-first framework that made it stupid easy to build complex agents and AI systems, with a web app for teams to collaborate on top.\n\nWe liked it so much that we decided to pivot away from Buster and focus on building Keystroke full time.\n\n## keystroke rebuilt our W24 idea in 5 minutes\n\nWith Keystroke, I was able to rebuild our original startup’s product (an AI data analyst) in \\~5 minutes.\n\nI pointed Cursor at our old Buster repo and it was able to:\n\n* spin up a local Keystroke project\n* rebuild the OG Buster agent w/ memory, its own file system, etc\n* connect our Postgres DB, PostHog, Metabase, and Slack\n* build skills for using each of the data sources\n* explore our DB and add schema docs to the file system\n* build a workflow to keep schema docs synced\n* name the agent \"Delbert\"\n* then pushed him up to the Keystroke app\n\nSince then, Delbert has been answering ad-hoc questions for me in Slack on a regular bases. He builds me metabase dashboards when I need them. He sets his own triggers, reviews key metrics periodically, and pings me in Slack if anything looks off.\n\n## how keystroke works\n\nIn Keystroke, workflows are ordinary async TypeScript: a ‘for’ loop is an actual ‘for’ loop, inputs use Zod schemas, and everything you build can be tested with Vitest. Our managed runtime makes workflows durable across errors, sleeps, approval steps, and process restarts.\n\nAgents wrap Vercel’s AI SDK and can use workflows, actions, other agents, MCP servers, and integrations as tools. They also include memory, a persistent filesystem, web search, triggers, and optional VM sandboxes.\n\nDeployed agents and workflows instantly appear in the web app with a chat UI, workflow visualizations, input forms, sharing, credential management, integrations, and logs.\n\n**The entire platform was built from the ground of with coding agents in mind**. Your coding agent can use the CLI to scaffold a local directory with a Keystroke project and an [AGENTS.md](http://AGENTS.md). Then, it can build whatever agent or AI system you want, search our docs, run tests, and push what you build up to the Keystroke platform.\n\n## \n\n![uploaded image](/media/?type=post&id=105225&key=user_uploads/699099/d6f73f5f-ba9d-43e4-8c8e-167b770bbe65)\n\n## **our asks**\n\n**Try it:** get started at [keystroke.ai](http://keystroke.ai) with $20 in free credits\n\n**Share feedback:** we’re in open alpha, please tell us what breaks\n\n**Star us on Github:** we’re open source, check out the code on [GitHub](https://github.com/keystrokehq/keystroke)\n\n**Reach out:** want to chat? email us at [team@keystroke.ai](mailto:team@keystroke.ai)",
        "url": "https://www.ycombinator.com/launches/RNB-keystroke-open-sourcing-our-internal-agents-automations-platform",
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    "website": "https://www.dgiapparel.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "DGI Apparel is a one-stop shop for custom screen printers to purchase all of the supplies needed to operate their business. DGI enables users to connect their existing vendor accounts to compare prices, inventory, and shipping time across all of their vendors on a single website. They can also manage all of their vendor carts, checkout, and view purchase tracking and analytics right from DGI.",
    "one_liner": "Expedia for ordering blank apparel",
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    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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    "status": "Inactive",
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    "regions": [
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        "full_name": "Ian Hinkley",
        "title": "Founder",
        "founder_bio": "I'm from Raleigh, NC and went on to earn a double major in Mechanical Engineering and Business with a concentration in Entrepreneurship from MIT. I was a 4-year starter on the Men's Basketball Team where I hold the career 3-point record. I was a screenprinter all through high school and am extremely passionate about the custom apparel industry. I was an EPM at Tesla and co-founder of Opdefi before starting DGI.",
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        "title": "Founder",
        "founder_bio": "Grant is Co-Founder and CTO of DGI Apparel. \n\nPreviously a software engineer at Datadog building distributed systems. MIT CS 2021",
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        "title": "DGI Apparel 👕 - Expedia.com for buying blank t-shirts",
        "tagline": "DGI is a one-stop-shop for custom apparel stores to buy their blank t-shirts.",
        "body": "**TL;DR:**  With [DGI](https://www.dgiapparel.com/), store owners can shop and compare across all of their blank garment vendors on one website.\n\n**The Problem:** Custom apparel stores constantly need to source blank shirts to fulfill their customers’ orders in a timely fashion. Blank shirts make up the majority of their COGS, so store owners spend countless hours shopping around different vendor sites to find the best price, shipping time, and inventory.\n\n**DGI’s Solution:** We’ve built a purchasing tool where store owners/inventory managers can connect their wholesaler accounts to a single website. We pull in all pricing, inventory data, cart info, and more to create a single, unified shopping experience across all of their vendors. DGI is completely free for end users.\n\n![uploaded image](/media/?type=post&id=78128&key=user_uploads/1530280/91508e14-8081-449b-a316-7f2471c2ce37)\n\n**Team Background:** [Ian](https://linkedin.com/in/ianhinkley) was a screen printer in high school and loves making custom t-shirts. [Daniel](https://linkedin.com/in/daniel-r-shkreli-6a0130160), [Grant](https://linkedin.com/in/grant-fuhr-06b849188), and Ian lived together while studying engineering at MIT and always wanted to start a company together.\n\n\\\n**Our ask:**\n\n* **If you’re ordering custom swag for your company, MESSAGE ME**: [ian@dgiapparel.com](mailto:ian@dgiapparel.com). Our users love it when we give them business and we can help you save money as well.\n* If you know anyone who runs a custom apparel store, please connect us, or send us their contact!\n\nDGI Apparel does not claim any affiliation, sponsorship, or endorsement by any of the brands, trademarks, or logos displayed. All logos and trademarks remain the property of their respective owners.",
        "url": "https://www.ycombinator.com/launches/KK8-dgi-apparel-expedia-com-for-buying-blank-t-shirts",
        "votes": 33,
        "created_at": "2024-02-04T00:33:54.182Z"
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    "id": 29275,
    "name": "Agentic Labs",
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    "website": "https://agenticlabs.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Agentic Labs is making software design and architecture less painful by building AI into the process. Today, developers have no shortage of tools for instantly creating chunks of code, but designing the systems that integrate this code is the hardest and most manual part of software engineering.\r\n\r\nOur first product is Glide, an AI-first editor purpose-built for writing technical design docs. It connects to your codebase and saves your engineering team time on triage, planning, and implementation of complex code changes.",
    "one_liner": "AI system design tools for dev teams",
    "team_size": 2,
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    "url": "https://www.ycombinator.com/companies/agentic-labs-2",
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      "name": "Tom Blomfield",
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        "full_name": "Maksim Ivanov",
        "title": "Founder/CEO",
        "founder_bio": "Building self-assembling software. Previously at hedge funds and doing ML research",
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      {
        "id": 78636,
        "title": "Agentic Labs - AI system design tools for dev teams",
        "tagline": "Introducing Glide - a new way to build software with AI",
        "body": "At Agentic Labs, we believe developers shouldn’t have to choose between thoughtfully designing code and shipping quickly.\n\n### Problem\n\nCreating a good technical design makes the implementation 10x easier for most coding tasks, but it’s a slow and manual process. We’ve experienced this at companies like Bridgewater and SpaceX, where reliable and maintainable software is mission-critical.\n\nConversely, in a startup, you build super fast, but it’s easy to find yourself being **crushed** by the complexity you’ve created because you didn’t have time to write a spec or analyze 3 different approaches.\n\nUntil now, you’ve probably had to pick one of these two extremes.\n\n### Solution\n\nWe’re building Glide, an AI-first editor purpose-built for writing technical design docs. It integrates with your codebase, saving engineers time on triage, planning, and implementation of complex code changes.\n\nHere’s how you use it:\n\n### 1\\. Get started by adding a repo, setting the goal, and attaching code\n\nWe’re demonstrating on an open ticket in Vercel’s AI-Chatbot repo\n\n* **Repo** here: <https://github.com/vercel/ai-chatbot>\n* **Goal** was inspired by the ticket here: <https://github.com/vercel/ai-chatbot/issues/226>\n* **Code** was added that is relevant to the task\n\n### 2\\. Triage the task in one click\n\n_Jump-start your thinking._ _Refine and edit in-line._\n\n<https://youtu.be/2wpdJlTNkE8>\n\n### 3\\. Triage → Plan\n\n_From your triage, generate a step-by-step plan._\n\n![uploaded image](/media/?type=post&id=78636&key=user_uploads/1577346/5a56256d-b81b-450b-b94c-8de7c5b1cd05)\n\n### 4\\. Plan → Implement\n\n_Once you like the plan, generate detailed code edits._\n\n![uploaded image](/media/?type=post&id=78636&key=user_uploads/1577346/369930b6-7af5-4129-bb0f-2ac831063e61)\n\n### 5\\. Send to VSCode to complete the change\n\n_Yes, we know, automatic PRs are coming soon._\n\n<https://youtu.be/0xz3uiHxg0c>\n\n### Chat with a fully-informed AI assistant at any time\n\n<https://youtu.be/zSjvqpnuocI>\n\n### Our ask\n\n* If your team has 10+ software engineers and you’re investing in a technical design process for code quality and speed, let’s talk\n  * **Call / text:** 858-663-1633\n  * **Set up time:** <https://calendly.com/d/457-4zq-s7p/user-interviews>\n  * **Email:** [rob@agenticlabs.com](mailto:rob@agenticlabs.com)",
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        "votes": 40,
        "created_at": "2024-02-22T16:11:40.986Z"
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    "all_locations": "New York City, NY, USA",
    "long_description": "Carousel is an AI assistant for Excel that builds spreadsheets & models in minutes, not hours.\r\n\r\nCarousel can:\r\n\r\n- Create & edit Excel models of any complexity, including but not limited to: multi-statement financial models with several tabs, FP&A templates based on raw revenue and cost data, scientific data analyses, and more\r\n\r\n- Take in data from PDFs, CSVs, presentations, and images, and build the data into your Excel directly\r\n\r\n- Walk you through complex spreadsheet architecture and each cell's precedents and dependents\r\n\r\n- Format your models tastefully & professionally\r\n\r\n- Build chart dashboards to visualize your data\r\n\r\nIt's more useful than the last intern you hired.",
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    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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        "full_name": "Daniel Wolf",
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        "full_name": "Jude Rizzo",
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        "founder_bio": "Founder @ Carousel, former math/physics student",
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        "title": "🧮⚡ Carousel: The AI Assistant For Excel",
        "tagline": "Build Excel models in minutes, not hours.",
        "body": "Hi YC! We're Jude & Daniel, and we’ve built Carousel - an AI assistant that transforms how people work in Excel.\n\n# **The Problem: Excel is Powerful but Painful**\n\nExcel remains the universal language of business despite being:\n\n* **Time-consuming**: Building models takes hours of manual work\n* **Error-prone**: Manual data entry and complex formulas lead to mistakes\n* **Intimidating**: Mastering Excel formulas takes years\n\nProfessionals spend countless hours battling spreadsheets instead of focusing on decision-making.\n\n# **Our Solution: Your Personal Excel Intern**\n\nCarousel is an AI assistant that builds spreadsheets & models in minutes, not hours. \n\nhttps://www.youtube.com/watch?v=8_MWw1lMrzQ\n\nWe've built four core features:\n\n**🤖 Carousel Chat** - Build complete multi-tab models from scratch with conversational prompts. No Excel expertise required. [Models that took hours to spin up now take minutes.](https://youtu.be/dQJbqbEJIiY)\n\n**⚡ Quick Fix** - Select any range, hit Ctrl+Enter, and describe what you want. [Format tables, add analytics, or restructure data instantly.](https://youtu.be/BeXluYKKArM)\n\n**🔍 Model Walkthrough** - Understand complex formulas in plain English. [Model Walkthrough rewrites formulas by swapping cell references like S&U_Sheet!K7 with Transaction Closing Costs (4%).](https://youtu.be/sG3s4Bz1sM0)\n\n**📄 File Context** - Stop doing manual data entry. [Carousel pulls information from your documents and puts them into your Excel file live, complete with automatic source citations.](https://youtu.be/jDx9lNbgLMk)\n\nUnlike your last intern, Carousel is competent, doesn’t complain when asked to fix spreadsheet formatting, and doesn’t need a return offer.\n\nCarousel is what Microsoft’s Copilot for Excel promised to be.\n\n# **Who's It Made For?**\n\nCarousel is designed for anyone who spends significant time in Excel:\n\n* **Financial analysts** building complex financial models\n* **Marketing managers** analyzing campaign performance data\n* **Operations leaders** creating forecasts and tracking KPIs\n* **Product managers** organizing feature roadmaps\n* **Scientists** analyzing experimental data\n* **Consultants** preparing client deliverables\n\n# **Why We Made Carousel**\n\nExcel hasn't fundamentally changed in decades, yet it remains central to how teams & businesses operate. \n\nWe built Carousel to bridge the gap between Excel's insane professional capabilities and its usability challenges.\n\n# **Try Carousel Today**\n\nOur open beta starts today for both individuals and enterprise teams. We'd love your feedback!\n\nIf you spend more than 10 hours a week in Excel or know someone who does, we'd love to chat: [founders@usecarousel.com](mailto:founders@usecarousel.com)\n\n[**www.usecarousel.com**](http://www.usecarousel.com)\n\n![uploaded image](/media/?type=post&id=90376&key=user_uploads/857855/84e41b9e-92f3-41a5-b916-bf73501e30ba)\n\n",
        "url": "https://www.ycombinator.com/launches/NVg-carousel-the-ai-assistant-for-excel",
        "votes": 22,
        "created_at": "2025-05-14T00:15:47.757Z"
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        "id": 78887,
        "title": "📊 👀 Carousel: Track changes for PowerPoint & Excel",
        "tagline": "Making it easier to review deliverables with high-fidelity change tracking",
        "body": "Hi! We’re [Jude](https://linkedin.com/in/jude-rizzo-aa71aa207) & [Daniel](https://linkedin.com/in/daniel-wolf-6242431b1), and we’re the co-creators of [Carousel](https://www.carouseltech.io/), a change-tracking tool for PowerPoint & Excel.\n\n \n\n**Investment bankers & consultants don’t use PowerPoint like you do:**\n\nFor most investment banking or consulting projects, the final deliverable is a PowerPoint deck.\n\n \n\nTo make sure the final draft of that deck is perfect, it goes through multiple rounds of review, feedback, & edits.\n\n \n\nThis means that many bankers and consultants spend hours squinting at different decks to see if the footnote on pg. 57 was updated correctly or if all the companies in a table on pg. 34 have uniform EBITDA adjustments.\n\n \n\nSmall details matter a lot, so teams often have to check over hundred-page decks from scratch. This review process is tedious & prone to mistakes.\n\n \n\n**Track deck & model changes with one click:**\n\n \n\nCarousel is a PowerPoint & Excel add-in that captures all the changes made to your team’s materials from shell to client PDF.\n\n \n\n**Carousel tells you exactly WHO changed WHAT and WHEN.** With one click, the add-in highlights everything that changed between any two versions of the model or deck (in your current window, without having to open another file).\n\n \n\n# It’s like Word’s track changes on steroids.\n\n \n\n![uploaded image](/media/?type=post&id=78887&key=user_uploads/857855/b80c80b4-4489-4207-be22-dc1681bc6eb6)\n\n \n\nBefore this, Daniel worked at Bank of America & Elliott Management, where he spent many hours pushing the boundaries of what was possible in PowerPoint & Excel.\n\n \n\nJude was pursuing a Master’s Degree in Mathematics from Cornell with a focus on ML.\n\n \n\nWe realized that PowerPoint & Excel could be a much more pleasant experience for power users with the right tools.\n\n \n\n**If you or someone you know spends more than 15 hours per week in PowerPoint or Excel, **[**let’s chat**](https://calendly.com/daniel-carouseltech)**.**\n\n \n\n ",
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        "created_at": "2024-02-29T06:51:51.211Z"
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    "id": 29278,
    "name": "Leaping",
    "slug": "leaping",
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    "website": "https://www.leaping.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "When bad software gets shipped, software companies burn a lot of money and customer trust fixing it. Most software engineers will tell you they spend more time fixing code than writing it, which will only become more true as AI code assistants gain adoption. Leaping autonomously root causes bugs and generates tested code fixes.",
    "one_liner": "Automate bug resolution",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1710320350,
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    "batch": "Winter 2024",
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    "year_founded": 2024,
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        "full_name": "Adrien Philardeau",
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    "id": 29281,
    "name": "Breez Labs",
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    "launched_at": 1710118531,
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        "answer": "We met online in 2011 because we were two of the biggest players in an online math racing game. After spending a thousands of hours competing on the site, we got really good at math.\r\n\r\nWe then met in person at the Math Olympiad Summer Program and then at MIT. At MIT, we learned to build webapps and were head instructors in the official web development course. We launched an app that over half the MIT undergrad population used, and realized that we love building and impacting people’s lives.\r\n\r\nWe realized that people care a lot about getting better at math, and math competitions are extremely fun, but there is no good way to do math. MathDash is the best way to compete in math and have fun while doing so."
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        "answer": "MathDash is going to be a viral e-sport that people all around the world compete in on a daily basis. Just like how people run to improve their physical fitness, people will do MathDash to improve their mental fitness. People will see math not as a niche nerd activity, but a legitimate mainstream esport. And it will be fun."
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        "full_name": "Daniel Sun",
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        "full_name": "Akshaj Kadaveru",
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        "title": "MathDash: Turning math into a sport",
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        "body": "Hi everyone! We’re Daniel and Akshaj. We met 14 years ago playing an online math game and are co-founders of [MathDash](http://mathdash.live).\n\n![uploaded image](/media/?type=post&id=79440&key=user_uploads/1593855/1663a39c-f3a8-41e5-9bff-66008f78ba04)\n\n_From left to right:_\n\n[Daniel](https://www.linkedin.com/in/daniel-sun-440493171/): 3x USA Math Olympiad and 1x Math Olympiad Training Program. Computer Science @ MIT, Trading at Jane Street, SWE at Kalshi and Scale AI. \n\n[Akshaj](https://www.linkedin.com/in/akshaj-kadaveru/): 7x USA Math Olympiad and 2x Math Olympiad Training Program. Computer Science @ MIT, with Trading & SWE experiences at Jump Trading, Wormhole, Jane Street, and Gather.\n\n### Competition Math - the best way to learn math\n\nCompetition math involves solving challenging and creative problems within a competitive setting, covering topics beyond standard school curricula. This format sends competitors to the frontiers of math and science by encouraging innovative thinking, fostering a community, and promoting a love for math.\n\nFounders of [Scale AI](https://scale.com/), [Perplexity AI](https://www.perplexity.ai/), and [Cognition AI](https://www.cognition-labs.com/) all started their journeys as **competitive learners**, and picked up the problem solving skills they would eventually need by doing these competitions.\n\nThis is why 300,000 high schoolers take the [American Math Competitions](https://maa.org/math-competitions) annually, and elite universities recruit high performers. In fact, competitive math and programming are the primary skills tested in trading and software job interviews!\n\n![uploaded image](/media/?type=post&id=79440&key=user_uploads/1593855/a0b3e111-b0f2-4acf-bcb0-dbd3be7ac146)\n\n_Daniel’s middle school math team: college and grad school/first job_\n\n### Competitive Learning hasn't reached most Humans\n\nHumans want to learn, and humans are competitive. Why, then, do most not enter competitive learning circuits? We talked to parents, teachers, coaches, and students, and they told us: \n\n* “The problems are too hard”\n* “The barrier to entry is too high”\n* “What if I look stupid”\n* \"I'm too busy\"\n\n### MathDash makes Competitive Math accessible for everyone\n\n* Problem difficulty ranges from addition all the way to advanced theory\n* MathDash only requires a device with an internet connection\n* You compete against others at your level, and your main goal is to improve your rating\n* The contests happen every day, and you can play an arena match live instantly at any time! Total time for a match is 2 minutes.\n\n![uploaded image](/media/?type=post&id=79440&key=user_uploads/1593855/e1a6ab1e-4daf-440f-8136-ab70204d8e2f)\n\nWe already have **200 of the best competitive mathletes** participating in our tournaments, and our users have solved **over 400,000** **arithmetic questions** - one even played in our Arena for **10 hours straight**!\n\nCompetitive Learning is already a growing community despite the significant barriers preventing most from participating. Having been addicted to competitive learning and educational games when we were young, we are the best positioned team to unlock the power of competitive learning for all.\n\n### Asks\n\nShare [MathDash](http://mathdash.live) with any math teachers, coaches, or students you know! We would love intros to any teachers or coaches as well.\n\nIf you are feeling ambitious, our next big synchronous [contest](http://mathdash.live/contests) is Monday, March 18 at 4:30pm PDT.",
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        "title": "Patchwork - Your team's AI powered communication tool",
        "tagline": "Replace your Slack with a ranked feed of information and AI assisted post creation",
        "body": "Hey everyone! We’re [Nikki](https://www.linkedin.com/in/nikki-a-shah/) and [Dhruhin](https://www.linkedin.com/in/dhruhin/) from [Patchwork](https://www.atpatchwork.com/)!\n\n**TL;DR**\n\nPatchwork supercharges your team’s communication — we replace your Slack with a ranked feed of information, AI assisted post creation, and chat for urgent needs.\n\n![uploaded image](/media/?type=post&id=78819&key=user_uploads/1642539/fb3c9788-fb77-4ea7-a5b0-766d51a58935)\n\n### **The Problem**\n\n**Do it all.**\n\nThose are the words etched in our brains during YC, and we know that it only gets worse. We spend our time figuring out how to talk to users, sell to customers, pitch to investors, and meet other founders, all at the same time. Oh, and don’t forget, while doing all of this, you also need to continue building the product.\n\nWe found that the most inefficient part of a company is poor communication. A ping on Slack can take us out of flow and leave us context-switching. While one team member is wrestling with RAG pipelines, another is messaging them about feedback from a user interview. If you choose to respect heads-down time, you’ll end up writing notes in docs that are lost to the ether, never to be looked at again. With more team members, it gets exponentially worse.\n\nIn the end, we’re either left with incomplete information or left sifting through a swamp of chat messages, doc links, and notifications to get the information we need.\n\n### **The Solution**\n\n**LLMs, Posts, and a Ranked Feed.**\n\nPatchwork, with the help of LLMs, allows you to quickly post meeting notes, updates, thoughts, and information into relevant groups.\n\n![uploaded image](/media/?type=post&id=78819&key=user_uploads/1642539/2d37f318-48cd-4dc1-953b-5fd4728377c9)\n\nHere’s the best part — **every team member has a smart feed, specifically curated for them**, that ensures they get the most important information first. Say goodbye to the distraction of random messages to get to what you really need. \n\n![uploaded image](/media/?type=post&id=78819&key=user_uploads/1642539/97cafc6a-a77f-467d-bbd8-c9ba596d6985)\n\nChat is also available for urgent needs. On Patchwork, your urgent chat messages don’t get drowned out with non-urgent matters.\n\n![uploaded image](/media/?type=post&id=78819&key=user_uploads/1642539/92a29007-2c94-49c4-8e7a-569106e3c283)\n\n### **Meet Nikki and Dhruhin**\n\n[Nikki](https://www.linkedin.com/in/nikki-a-shah/) and [Dhruhin](https://www.linkedin.com/in/dhruhin/) worked at Meta, Stripe, and Amazon—three companies known for their incredible writing cultures. They were able to witness firsthand the power of organized, effective communication. At these companies, they worked on 0 to 1 products, which grew from a small founding team to massive organizations. From the beginning, good communication that allowed engineers to stay in flow and also get the information they needed was the secret to both speed and growth.\n\nNow, they’re on a mission to supercharge every team with better communication tools.\n\n### **Our Ask: Try Us!**\n\nIf you’re building a product, talking to users, fundraising, selling to customers, and just trying to do it all — let Patchwork help.\n\nEmail [info@atpatchwork.com](mailto:nikki@atpatchwork.com) and we’ll onboard you!",
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        "date": "Oct 07, 2025"
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        "title": "FurtherAI Raises $5M To Advance Its Specialized AI For Insurance",
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      {
        "id": 82225,
        "title": "FurtherAI: AI workspace for the insurance industry",
        "tagline": "Unlocking the massive untapped potential by automating insurance workflows",
        "body": "The insurance industry faces a severe labor shortage while over 3 million current insurance professionals are stuck doing repetitive manual tasks.\n\nAt [FurtherAI](http://furtherai.com), we are building a AI Workspace to handle these repetitive manual tasks involving unstructured data processing and data entry across disjointed systems. Our first AI Teammate tirelessly handles quote and renewal workflows, allowing the human teams to focus on strategic work.\n\n👇 [Here](https://youtu.be/6jCr0kW1MjA) is a heartfelt video from a customer highlighting their problems & opportunity\n\n### **❌ PROBLEM**\n\nIt’s widely reported that the insurance industry will lose over [400K people](https://www.insurancebusinessmag.com/us/news/breaking-news/us-insurance-sector-to-lose-around-400000-workers-by-2026-466593.aspx) by 2026. On the other hand, over [3M insurance professionals](https://www.bls.gov/iag/tgs/iag524.htm) spend most of their time manually generating proposals, checking policies, processing claims, or entering data into underwriting systems.\n\nMost of these tasks have remained manual for two reasons:\n\n* The insurance industry operates on a lot of unstructured data like policies, quotes & more\n* The software systems in the insurance industry are not connected, requiring humans to manually fill in data and forms across these systems.\n\nPreviously, it was not possible to process the unstructured data with high accuracy, and it was difficult to configure all the validation rules. To make things worse, Robotic Process Automation was too brittle to maintain.\n\nThese manual workflows take the time of the skilled workforce away from the important tasks, reducing productivity and job satisfaction.\n\nOne such manual workflow is quote generation: a mid-sized (50-200 EEs) broker/MGA generates 1000s of quotes per month by extracting data from policy documents and then entering into portals. It takes about 30-45 mins per quote.\n\n### **💡 SOLUTION**\n\nAt FurtherAI, we are building a AI Workspace to automate insurance workflows. These AI Teammates can practically automate any insurance workflow involving processing unstructured documents, data entry into internal systems or web portals, or even making phone calls.\n\n[Here](https://youtu.be/nR-j_hTdgeI) is a quick demo of the AI Teammate performing Quote Generation. It is a simple workflow:\n\n1\\. **Trigger** - Send an email along with the client application attached\n\n2\\. **Clarification** - Respond to the missing information asked by AI\n\n3\\. **Result** - Get the generated quote along with the execution video\n\nWe are building these AI Teammates to mimic human-to-human interaction.\n\n* Everything happens within the email client (Outlook/Gmail)\n* We run fine-tuned GPT models for the insurance industry\n* We are building agentic loops to make the automation reliable\n\nOur initial customers are saving over $400K in annual costs across these workflows while making them 10X faster and less prone to human errors. We are starting with the workflows of quote generation and renewals as they directly impact the top line of our customers.\n\n### **🤝 WHO ARE WE?**\n\nWe’re Aman and Sashank.\n\n[Aman](https://linkedin.com/in/amangour) is a second-time founder with around 10 years of experience in workflow automation. Previously he built and scaled his company to over $1 million ARR and worked as a Product Manager at Microsoft.\n\n[Sashank](https://www.linkedin.com/in/sashank-gondala-083132a0) is a former language modeling scientist at Apple, where he built and scaled language models for Siri. Previously he completed his Masters in AI from Georgia Tech and worked at Oracle.\n\nWe believe that, like energy, the cost of insurance affects the entire economy, and improving efficiencies here benefits everyone. Together, we’re excited to help insurance companies unlock unprecedented efficiencies with AI.\n\nIn the picture: Aman (CEO, Left), Sashank (CTO, Center), and Tom (YC Partner, Right)\n\n![uploaded image](/media/?type=post&id=82225&key=user_uploads/392100/ebc0ce07-0b93-45fa-88af-7b45144dc684)\n\n### **💫 REQUEST**\n\nThank you for taking the time to read through this ❤️\n\nWe are looking to connect with insurance brokers and MGAs to get feedback on our product and explore if they’d want to try our AI Teammates.",
        "url": "https://www.ycombinator.com/launches/LOD-furtherai-ai-workspace-for-the-insurance-industry",
        "votes": 65,
        "created_at": "2024-07-17T20:50:44.024Z"
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    "long_description": "ROE AI solve risks and compliance problems for financial industry.",
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    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1705558893,
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We came from Snowflake, so we know how it enables companies to get value out of their data and we are here to help get value from even more, harder-to-reach data.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78571&key=user_uploads/1065666/b268a0a7-4a58-43b9-8b25-bfd8318a5d7a)\n\n### **Who it’s for:**\n\nIf you work with data, you should check us out!\n\n**Connect your data -** Roe AI supports various unstructured data types - natural languages, documents, websites, images, videos, etc. Connect with your data sources from S3, Snowflake, Databricks, and many more.\n\n**Create smart, multi-modal agents** **\\-** Create a powerful, customizable AI agent within 30 seconds.\n\n**Query your data with SQL -** apply AI agents on **unstructured data** using SQL queries + natural language!\n\n### **👩‍💻 A data scientist’s 3 minutes**\n\n**9:30AM Monday, San Francisco.**\n\nAnna, the data scientist at Oak Ventures, needs to understand this YC batch to help GPs make investment decisions in YC W24. \n\n**9:31 AM.** Anna logs onto Roe AI data warehouse, where she has collected tens of thousands of crawled **homepages** and **pitch decks** from startups. \n\nFrom those data, Anna hopes to find who these startups are selling to, market size, and revenue. More importantly, Anna **only** wants to target YC-backed startups because they’re the best.\n\n**9:32 AM.** Anna wrote a simple SQL with some English. \n\nThe query finishes within 6 seconds. She sees the results of over 200 YC W24 companies and their ICP, TAM, and ARR extracted from the pitch decks. Moreover, Anna checks out the pitch deck side by side to assist her analysis!\n\n![](https://lh7-us.googleusercontent.com/Q8CN1oMnEd1Xd91F0KEUYCA-nHpPrdoM4mHHUHlUgHWiML9b-QVO3j2GKTLEZ650tisYVlH8dVXfIcgaMpRqqpcWUzpv7Xp4dcI2BhskL6ArSaByMExJqM__0JHYWcQD8WHm5s_mDn9gcudMPJJGzAY)\n\nNow it’s **9:33 AM.**\n\nAnna’s Monday is just getting started, but she has achieved so much, so she decides to pour herself some coffee while enjoying the data magic of Roe AI.\n\n### **❓Why a new data warehouse?**\n\n**20% of data is structured; what about the remaining 80%?** Transcripts, Images, documents, videos, audio, people call it unstructured data.\n\nWe interviewed data teams across industries, and 85%+ of them are just leveraging that 20%! Based on that partial view, they need to make business-critical decisions. This is wrong! But why??\n\n**High barrier to leveraging AI on Data:** processing unstructured data requires a lot of AI. 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At LinkedIn, I helped build the infra for the world’s largest economic graph, connecting the world’s best talent with dream jobs.\n\nAt Snowflake, I led the Gen AI initiative and created the first AI data copilot on Snowflake. We tuned open-source LLM from the ground up and served AI data copilot to hundreds of Fortune 2000 customers on their enterprise data workloads.\n\n**I'm **[**Jason**](https://linkedin.com/in/jason-wang-a29851128)**. The last 7 years of my career are dedicated to building the most scalable infrastructure**\n\nI also began my journey at UC Berkeley, graduating with a CS and Applied Maths double degree. At Meta, I contributed to the largest ML infrastructure on earth and developed high-performance optimization and graph algorithms, supporting thousands of ML models and hundreds of ML teams.\n\nAt Robinhood and Retool, I led the infrastructure and DevOps team and built the infrastructure foundation to support tens of thousands of enterprise applications running on the Retool platform.\n\n# **🙏 Ask**\n\n### **SIGN UP FOR THE WAITLIST! We WANT you to try THE product!**\n\nWe’ll open self-serve signup **by the end of the week**.\n\n**At this point, please leave a comment below or use the waitlist signup form on **[**roe-ai.com**](http://roe-ai.com)**. So we can send you the login instructions!**\n\nIf you want a live demo from us, please book us some time <https://calendly.com/roe-ai/intro> \n\nOr email us at [founders@roe-ai.com](mailto:founders@roe-ai.com)\n\nOr text or call us directly at (510)-325-2872\n\n![uploaded image](/media/?type=post&id=78571&key=user_uploads/1065666/96fec7c9-f390-4369-84a9-db484b7e0c68)\n\n",
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        "title": "Ava, The Sales Rep Artisan: The AI Employee Who Automates Cold Email",
        "tagline": "Meet Ava, the AI BDR with 270M leads who gets you sales meetings on autopilot.",
        "body": "**After months of relentless work, we present Ava: the first Artisan. Ava is a BDR, and she’ll take your outbound demand generation to new heights.**\n\n# **Here’s How She Works**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/955e21f2-f12f-4e23-8dc1-bd9c232128c8)\n\n**When you first enter the platform, Ava will lead you through a 10-minute onboarding conversation. With this, she’ll have all of the information she needs to run your outbound campaign.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/17b62f86-43ee-4f9c-aef7-6e47a9e2b500)\n\n**Ava will scrape your website and use the onboarding conversation to create a knowledge base on your company, which she’ll use to write emails.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/9fbfd1ab-6740-4087-822a-06d4fa27e3d0)\n\n**Ava will prospect leads at scale, using our database of over 270 million contacts. She will gather 10s of data points on each.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/835149d6-1237-4143-a244-f6d9f03e97f8)\n\n**Ava will ghostwrite & send 1000s of tailored emails to prospects on your behalf, using information provided by you and your website to understand your product, and publicly available information about leads.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/b74eed39-fb54-46a5-810e-712001f4c3f4)\n\n**Ava will respond to prospects’ replies with the primary objective of booking sales meetings into your calendar. (Please note this feature is currently in Beta and you will be required to manually review all emails for the next few weeks.)**\n\n### Who Is Ava For?\n\n**We primarily built Ava for B2B SaaS startups with early product-market fit. Ava can take your market traction and pour fuel on the fire! 🔥**\n\n### **To hire Ava, head to **[**https://artisan.co/ava-sales-rep**](https://artisan.co/ava-sales-rep)**, or email **[**jaspar@artisan.co**](mailto:jaspar@artisan.co)",
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        "title": "Simplex - enterprise-grade web agents",
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        "body": "**TL;DR:**\n\n* Simplex is an API that allows you to automate manual workflows on the web. For example, a customer uses us to autonomously purchase materials from Amazon, poll their email inbox for tracking information, then update their internal documentation with that tracking info every six hours.\n* Book [time with us here](https://calendly.com/simplex-interest/marco-chat) if we can help you automate your business.\n\nHi everyone, we’re [Shreya](https://www.linkedin.com/in/shreya-karpoor/) and [Marco](https://www.linkedin.com/in/marco-nocito/), two MIT grads building Simplex.\n\nTeams are often burdened by manual tasks that have to be repeated thousands of times per month — for example, populating spreadsheets with information from recent emails. From our experience, we found that asking AI agents to solve these problems just didn’t work. They often didn’t follow the same path when we asked them to do the same thing twice, and we couldn’t control any of the actions they took when they made a mistake.\n\nSo we built Simplex to inject intelligence into repeatable, known workflows to help you automate your manual tasks.\n\nWith Simplex, writing a function to pull tracking information from your email is as easy as this:\n\n![uploaded image](/media/?type=post&id=87190&key=user_uploads/910356/27f7171e-7a04-408e-84f9-d7596b9a2e5b)\n\n**Watch a quick demo here:**\n\n<https://www.loom.com/share/9d99e4fdf9e14487ba340d5565c123a2?sid=1d3b2dd6-5e78-4370-bbca-1949fc72eb8e>\n\nA few reasons customers love Simplex:\n\n* **Straight-forward, reliable intelligence:** We break up your web workflows into smaller, more atomic actions (click, type, extract) to enforce while allowing you to leverage the intelligence of AI.\n* **Extract anything on the web:** We’ve built our own vision system to more accurately extract small icons, text, images, or even entire sections of a page.\n* **Run on any site, even internal tooling:** We store your credentials securely to handle website authentication, meaning you can use Simplex on any website or private tooling you have access to.\n* **No need to deal with browser infrastructure yourself:** We handle all the infrastructure, hosting, and scheduling, letting you run these workflows asynchronously at scale.\n\nPeople have requested Simplex to:\n\n* **act as procurement software:** automatically order parts and update internal spreadsheets with delivery information across multiple vendors (Amazon, DigiKey, etc.)\n* **scrape financial information for their hedge fund clients:** pull daily headlines and perform sentiment analysis across hundreds of financial websites for quantitative analysis research\n* **autonomously update their internal database of products:** aggregate manufacturer marketing information for over 2,000,000+ retail products\n* **do the work of an entire data collection team:** collect grant and award information from over 700 government websites\n* and more…\n\n## Our Ask\n\n* We’re looking to onboard teams, especially those that are burdened by manual processes or need to scrape hundreds of thousands of websites. Book a [meeting with us](https://calendly.com/simplex-interest/marco-chat) for a demo and API access. We’re happy to write your first automation for you.",
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        "body": "**TL:DR;** Simplex creates photorealistic vision datasets rendered from 3D scenes for AI model training. Submit a request [on our website](https://simplex.sh/#data-request-form) to receive high-quality data and labels.\n\n![uploaded image](/media/?type=post&id=83077&key=user_uploads/1588677/826c7bea-8936-451d-97ff-895bc8ca6c38)\n\n**Data request for the above sample:** _“Generate images and labels of a home kitchen with household objects on a center table. I need a variety of household objects in a variety of lighting conditions. Our desired labels are semantic segmentation and depth maps.”_\n\nHi everyone, we’re [**Shreya**](https://www.linkedin.com/in/shreya-karpoor/) and [**Marco**](https://www.linkedin.com/in/marco-nocito/), two MIT grads building Simplex.\n\nCollecting vision data for model training is time-consuming, costly, and often unsafe. Shreya spent over 200 hours physically operating a robot to collect image training data during her research at MIT. Marco worked on machine learning for synthetic data at Waymo to solve this exact problem.\n\nWe realized data scarcity wasn’t just an issue in robotics – it affects any company training vision models. When fine-tuning foundation models or building a new dataset from scratch, teams must curate existing data or label and collect data themselves. \n\nWe resolve the data scarcity problem by generating photorealistic ground truth labeled datasets for **any scenario**. We can generate **millions of varied images** **from 3D scenes** using our physics engine pipeline.\n\nHere’s how you’d use Simplex:\n\n1. Fill out our data request form [here](https://simplex.sh/#data-request-form) – it takes less than a minute. \n2. Give us feedback on a few sample image/label pairs that we generate. Repeat if necessary.\n3. Once you’re satisfied, download your complete dataset.\n\nWe support semantic segmentation, captions, simulated LiDAR, depth maps, and bounding boxes. You can generate large volumes of randomized scenes or provide a CAD/phone scan model for more specific scenes.\n\n# **Our Ask**\n\n* If you or someone you know needs vision data, fill out our 30-second data request [form.](https://www.simplex.sh/#data-request-form) We’re taking a limited number of early customers.\n* If you have a more complicated request or would otherwise like to contact us, email [shreya@simplex.sh](https://mailto:shreya@simplex.sh).\n\n# **The Team**\n\n![uploaded image](/media/?type=post&id=83077&key=user_uploads/1588677/d2e5778c-86c2-4c7b-bc75-3c73aefff883)\n\n[**Shreya**](https://www.linkedin.com/in/shreya-karpoor/): Computer science (BS and MEng) at MIT, software engineer at Tesla and Viam. Built simulation pipelines for locomotion and dexterous manipulation research at MIT. \\\n[**Marco**](https://www.linkedin.com/in/marco-nocito/): Computer science (BS and MEng) at MIT, software engineer at Waymo, Bloomberg, and Viam. Built machine learning models to generate synthetic data at Waymo.",
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        "title": "🌊 Trellis AI: Automate your Pre-sevice workflow⚡️",
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        "body": "### **TL;DR**\n\nTrellis helps healthcare providers treat more patients faster—while eliminating pre-service paperwork. We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care.\n\n❌ **Problem — Administrative costs are delaying care and draining revenue**\n\nOver 20% of U.S. healthcare spending goes toward administrative costs, delaying care, reducing revenue, and driving staff burnout—while leaving providers with less visibility into patient care than ever before.\n\nPrior authorizations, appeals, and pre-service documentation are some of the biggest bottlenecks to timely treatment. Manual processing is slow, error-prone, and costly—leading to delayed treatments, increased denial rates, and frustrated patients.\n\n🎉 **Solution**\n\nOur AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR—at scale.\n\nWe handle the heavy lifting:\n\n* **Automating document intake** from faxes, PDFs, and scanned forms\n* **Processing prior authorizations and appeals** with high accuracy\n* **Integrating directly into EHR workflows** so staff can focus on care, not paperwork\n\nTrellis in action: Processing hundreds of pages per patient case to identify missing information, complete submissions, and accelerate treatment approvals.\n\n🏃🏽‍♂️ **Leading healthcare organizations use Trellis to:**\n\n* **Reduce time to treatment by over 90%**—ensuring patients start therapy faster\n* **Improve prior authorization approval and reimbursement rates**—reducing revenue leakage\n* **Leverage structured data for better clinical decision-making**—enhancing drug program performance and patient outcomes\n\n**About Us:**\n\nMac & Jacky are friends from the Stanford AI Lab, where we spent too much time indoors building language models and hoping they’d talk back 🧠💻\n\nPreviously, Mac built LLM infra at Cresta and Moveworks where our ML pipelines processed terabytes of chat logs and voice calls. Jacky taught AI classes at Stanford and worked at Meta on real-time machine learning systems handling complex model deployment challenges.\n\nTrellis is a spinout from Stanford AI Lab and is backed by leading investors including YC, General Catalyst, Telesoft Partners, and executives at Google and Salesforce.",
        "url": "https://www.ycombinator.com/launches/KXH-trellis-ai-automate-your-pre-sevice-workflow",
        "votes": 69,
        "created_at": "2024-03-01T14:13:48.722Z"
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        "full_name": "Dan Elkaim",
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        "founder_bio": "Cofounder & CEO of Topo.io. \nI've been selling B2B SaaS for around 10 years. \nPreviously, I led Aircall's strategic sales from 10 to $120M ARR.\n",
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        "user_id": 1159526,
        "full_name": "Léonard Henriquez",
        "title": "Founder/CTO",
        "founder_bio": "From a business school grad to a tech guy with a Master's in AI, I've taken an unconventional path. I've grown from a Product Manager to an Engineering Manager, and now I'm the CTO at Topo.io. When not busy building SaaS, you'll find me either clinging to a cliff or building satellites – because why just conquer markets when you can explore space?",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/leonard-henriquez",
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        "user_id": 1160329,
        "full_name": "Robin Philibert",
        "title": "Founder/CPO",
        "founder_bio": "Co-Founder at Topo.io, passionate about sales and entrepreneurship.",
        "is_active": true,
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      {
        "id": 79683,
        "title": "Topo - AI sales agent custom trained for each company to reach the best leads",
        "tagline": "Your future top performer sales rep!",
        "body": "TL;DR - [Topo](https://www.topo.io/) is an AI sales agent trained specifically for each company. The agent is trained to handle all outbound tasks automatically: finding the best leads in the industry-specific channels and then automatically contacting prospects with a personalized approach.\n\n### **The problem 🤯**\n\nB2B lead generation is broken.\n\nIt's difficult to generate outbound pipeline as we did in the past years: mass mailing over the TAM based on demographics criteria.\n\nIt's especially very human-intensive for a founder, a full cycle sales team, or even an SDR dedicated to the task.\n\nFinally, the cost of implementing a high-quality outbound strategy has completely exploded.\n\n### **Our Solution 🥳**\n\nAI allows us to automate these tasks by doing like a top performer.\n\n**What makes a top performer?**\n\n* They know the product, the industry, the pain points, and the company's value proposition perfectly.\n* They will find the right leads, ready to buy, based on buying signals in the industry-specific channels or on the company's website visitors.\n\n_For example, the buying signals for a dev tool will likely happen more on GitHub, whereas for an HRIS, it will happen on LinkedIn or job boards._\n\nThat's what we do: **Create the smartest AI sales agent on the market - custom-trained for each company!**\n\n### **How it works? ✨**\n\n1. Train your agent to become an expert on your business thanks to various knowledge sources of your company (Knowledge base, CRM, Call transcripts…).\n2. The agent will then scan the lead sources specific to your industry and start to suggest enriched leads with a personalized approach.\n3. In co-pilot mode, you will be able to validate the leads and approaches to train the agent and then switch to autopilot once satisfied with the lead quality.\n4. The agent will book meetings in your calendar.\n\n### **Meet our team 🤝**\n\n[Dan](https://www.linkedin.com/in/danelkaim/) and [Robin](https://linkedin.com/in/robin-philibert) were together as Sales and Head of Outbound at Aircall from $10M to $120M ARR - they perfectly know the sales and SDR profession to reproduce best practices.\n\n[Léonard](https://linkedin.com/in/leonard-henriquez) is a Data Science and AI expert and managed an engineering team of 10 people in his previous startup.\n\nWe are the right team to launch a smart AI sales agent :)\n\n### **Our ask 🙏**\n\nIf you're looking to create pipeline via outbound and you tick one of these boxes:\n\n* You are afraid of automating because the outreach or the leads would not be qualitative enough\n* You don't want to recruit a first sales before your PMF\n* You have full cycle salespeople who struggle to consistently create pipe\n* You want to test a new market\n* You think it’s too expensive to hire an SDR\n\nPlease contact us at [**dan@topo.io**](mailto:dan@topo.io) or check out [**topo.io.**](http://topo.io/)\n\n![uploaded image](/media/?type=post&id=79683&key=user_uploads/1148042/e56db1eb-b913-4428-b677-b19b32160d13)\n\n",
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        "votes": 153,
        "created_at": "2024-03-25T20:02:54.385Z"
      },
      {
        "id": 76388,
        "title": "Topo.io - Create centralized deal hubs to accelerate your closing",
        "tagline": "Engage buyers, drive momentum, close deals. Fast!",
        "body": "**TL;DR** [Topo.io](http://Topo.io) is a Buyer Engagement Platform that helps B2B sellers better engage their buyers to accelerate closing through new ways of collaboration. It pushes the most relevant content to buyers to animate sales cycles, encouraging buy-in while alleviating the sales rep from endless admin and follow-ups.\n\n---\n\n—\n\nHello YC 👋\n\nWe are thrilled to share [Topo.io](http://Topo.io) with you - a Buyer Engagement Platform that helps B2B sellers better engage buyers to accelerate closing.\n\n🤯 **The Problem**\n\n**The B2B selling process is broken.**\n\n85% of B2B buying decisions happen outside of conversations with the sales rep.\n\nThis leaves Sales teams facing:\n\n* longer sales cycles\n* lack of momentum\n* increasing number of stakeholders\n* and difficulty in scaling a proven sales process.\n\nHaving a background in B2B sales, we experienced these problems first-hand. Unable to find a tool that could solve these problems, we decided to build one ourselves 💪\n\n⚡️ **The Solution**\n\nTopo is a Buyer Engagement Platform that allows sales reps to keep all of their interactions in one place, facilitating collaboration, increasing engagement, and creating sales motions at scale. It includes the following key features:\n\n* **Digital Sales Room** - Establish a deal hub that sellers can use to engage buyers, pushing them the most relevant content to animate down times during a deal.\n\n![uploaded image](/media/?type=post&id=76388&key=user_uploads/1148042/94b18c3c-3319-4ce1-812f-bbf8f8aa0fed)\n\n* **Automations** - Set up workflows to automate the rhythm of your follow-ups: content sharing, follow-up on low-engagement stakeholders, receive action suggestions in Slack…\n* **Engagement & Collaboration** - Make the sales cycle more self-service with our mutual action plan, engage all internal and external stakeholders, and enable sales to anticipate what’s coming next in their deal.\n* **Analytics** - Observe when, how, and how long your customers/prospects are interacting with your content to better prioritize opportunities via deal scoring.\n* **Integrations** - Create a workspace from your CRM (Salesforce & HubSpot), keep your data up-to-date with two-way sync, be informed about the latest buyer activity via Slack, and enrich your workspace with content from your existing tools (Gong, Loom, Google Slide, Youtube, etc.).\n\n🔥**Our customers shortened their sales cycles by 30% just two quarters after implementing Topo**🔥\n\n**👫 Who are we?**\n\nWe’re a team of 9 people, French and American - from Paris, France. 🇫🇷\n\nWe’re all from B2B SaaS companies (ex Hubspot, Algolia, Aircall, Hivebrite...) with a strong background in GTM. It was during our previous experience at Aircall that the Topo adventure was born.\n\n![uploaded image](/media/?type=post&id=76388&key=user_uploads/1148042/dd7bd1c1-7bef-4549-8a62-34ce183bcc66)\n\n_(📸 this photo was taken in our Paris offices in a district called “Le Sentier” where there are lots of startups - Parisians have even renamed it “Silicon Sentier” 😅)._\n\n🙏 **NEXT STEPS**\n\n* Follow us on [LinkedIn](https://linkedin.com/company/topo-io) and spread the word!\n* Intros to CSOs, CROs, VP Sales, Revops and/or Sales Enablement.\n* If you are in B2B Sales and are interested in our product, please test it out! [**(Book a demo).**](https://meetings.salesloft.com/capsulesas/claireamiouni?meeting_detail=dcc275fa-b2db-4805-8f49-35bf7ff94b3f)",
        "url": "https://www.ycombinator.com/launches/Js4-topo-io-create-centralized-deal-hubs-to-accelerate-your-closing",
        "votes": 66,
        "created_at": "2023-11-28T15:05:50.390Z"
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    "id": 29304,
    "name": "Yoneda Labs",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Yoneda Labs provides software to help chemists optimise reactions. When chemists make a drug or a material, we help them figure out the best reaction parameters such as temperature, concentration and catalyst.\r\n\r\nWhen Jan was working at chemical labs, he experienced the struggle of spending weeks guessing reaction conditions. We then started experimenting with ML to speed up the process.\r\n\r\nNow, as a team of three friends from the University of Cambridge, we’ve spent the last month combining our domain expertise in Computer Science, Machine Learning and Chemistry to develop state of the art models for reaction optimisation.\r\n\r\nAlthough ML is becoming well established in other fields, current chemical models generalise poorly and require lots of programming experience. We make our models easily accessible to chemists in the lab.\r\n\r\nFinding the right conditions quickly allows pharmaceutical companies to test more drugs, and finding better optima makes manufacturing process cheaper and more environmentally friendly.",
    "one_liner": "Foundation Model for Chemical Manufacturing",
    "team_size": 3,
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        "user_id": 661834,
        "full_name": "Michał Mgeładze-Arciuch",
        "title": "Founder/CEO",
        "founder_bio": "Michał is the Co-Founder and CEO of Yoneda Labs.\n\nMichał studied Computer Science at the University of Cambridge. He has strong software engineering and Artificial Intelligence experience having worked at Jane Street and Berkeley AI Research.",
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        "user_id": 1575186,
        "full_name": "Jan Oboril",
        "title": "Founder",
        "founder_bio": "Jan is the Co-Founder and Chief Scientist at Yoneda Labs.\n\nJan studied Chemistry & Biology at the University of Cambridge. Has worked at Bayer and as a research chemist for institutes in Czechia and Austria. He has a lot of experience designing ML models to solve problems in Chemistry and Biology, most notably he designed and sold a model for cell segmentation. He scored 8th/10th/11th at the international Chemistry Olympiad.",
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        "user_id": 925534,
        "full_name": "Daniel Vlasits",
        "title": "Founder/CTO",
        "founder_bio": "Daniel is the Co-Founder and CTO at Yoneda Labs\n\nDaniel studied Computer Science at the University of Cambridge. He has strong software engineering experience having been a software engineer at Cisco, Optiver and a programming languages researcher at the University of Cambridge. \n\nHe won first place at the international robotics competition Pi Wars, and ranked 5th in the Cambridge Computer Science cohort.",
        "is_active": true,
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        "title": "Yoneda Labs raises $4M to build the 'OpenAI for chemistry' | VentureBeat",
        "url": "https://venturebeat.com/ai/yoneda-labs-raises-4m-from-khosla-ventures-to-build-the-openai-for-chemistry/",
        "date": "Apr 26, 2024"
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      {
        "id": 77274,
        "title": "Yoneda Labs - Foundation Model for Chemical Reactions",
        "tagline": "Enabling new chemistries with AI",
        "body": "**TL;DR**\n\n[Yoneda Labs](https://www.yonedalabs.com) is building the **foundation model for chemical reactions**. When chemists need to make a drug we use AI to define parameters such as temperature, concentration and catalyst. This enables new chemistries and makes synthesis faster and cheaper.\n\nCheck out our product here: [www.yonedalabs.com/yoneda-optimize](https://www.yonedalabs.com/yoneda-optimize)\n\n**Who we are**\n\n![uploaded image](/media/?type=post&id=77274&key=user_uploads/661834/b49ac834-0f85-4c41-a785-220f62c239bb)\n\nWe are three University of Cambridge grads combining expertise in Computer Science and Chemistry, with a leader in the field, Prof Scott E Denmark as our advisor. Combined, we have experience working in Bayer, Berkeley AI Research, Jane Street, Optiver and Cisco. Jan ranked top 11 in the International Chemistry Olympiad for 3 years in a row.\n\n**Problem: There are more than 10M different compounds created each year. Chemists need to figure out how to make them.**\n\nTo do so, they often rely on literature data. Unfortunately, this data almost never contains the exact recipe and the ones out there are often misreported and irreproducible in the lab. This means that chemists still need to frequently rely on their intuition, and when that fails, a potentially life-saving drug might never see the light of day.\n\n![uploaded image](/media/?type=post&id=77274&key=user_uploads/661834/1177fc54-1292-4d64-bcf7-fccfe44cf752)\n\n**Solution: Foundation model for chemical reactions**\n\nWe are generating our own dataset of chemical experiments. We will use it to train a powerful model capable of defining good conditions for any organic reaction.\n\nWe’ve performed feasibility studies on smaller datasets and confirmed our beliefs that if we choose the experiments very carefully, we will be able to cover 3 of the most popular reactions in organic chemistry with only 20k data points.\n\nWe’ve already created an app that learns from the chemists’ experimental data as they run their reactions in the lab. This allows them to find the optimal conditions in days instead of weeks or months.\n\nOur custom algorithms allow the app to run fully offline from the chemist's PC to account for data sensitivity. Additionally, we designed the app to be simple to use so that every chemist can employ **state-of-the-art statistics and machine learning** in their lab in just a few clicks. You can check out what it looks like [here](https://www.helloyonedalabs.com/static/html/index.html).\n\n**Our Ask**\n\n* If your company works with **chemical processes**, we’d love for you to try our product!\n* Any **intros to chemistry CROs / pharma companies** especially key decision makers responsible for the medicinal and process chemistry departments.\n\nContact us here: [michal@yonedalabs.com](mailto:michal@yonedalabs.com)\n\nBook a demo [here](https://calendly.com/daniel-yonedalabs/yoneda-labs-intro)",
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        "votes": 119,
        "created_at": "2024-01-05T18:50:22.132Z"
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    "id": 29308,
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    "website": "http://atopile.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "atopile is a new language to design electronic circuit boards with code. We replace point and click graphical interfaces with code to bring software level automation and reuse to the field of hardware design. Our project is open source on GitHub! https://github.com/atopile/atopile",
    "one_liner": "We make tools to design electronics circuit boards with code",
    "team_size": 5,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1709142669,
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        "full_name": "Narayan Powderly",
        "title": "Founder",
        "founder_bio": "If something sucks, fix it. I love building tools that solve real problems, at Tesla I increased the rate at which we could build prototypes by 10x, at our company atopile we are making tools to bring the speed of software development to hardware engineering.",
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        "id": 78992,
        "title": "atopile - a new language to design electronic circuit boards with code",
        "tagline": "We are bringing design reuse, version control, and automation to hardware design",
        "body": "Hi Everyone, we are Matt, Narayan, and Tim and we are building a new programming language to automate hardware design.\n\n### **TLDR;** [atopile](http://atopile.io/) is a new language + toolchain to **design electronic circuit boards with code**.\n\nBy using code instead of graphical user interfaces, we finally bring **design reuse**, **version control,** and **automation** to hardware design.\n\n![uploaded image](/media/?type=post&id=78992&key=user_uploads/333030/65a69aca-5a22-4af8-9b16-21b76934d36e)\n\n### Our ask 📣\n\n* If you love programming, git, and electronics, try [**using atopile**](https://github.com/atopile/atopile) to design your next circuit board\n* If you know firmware engineers, test teams, validation teams or people who need to create lots of high-quality repetitive designs quickly - [**please introduce us**](mailto:founder@atopile.io)**.**\n\n### The problem\n\nWe love designing hardware. But existing design tools are slowing us down. The key reason is that in hardware design, everything is done manually: Electronic schematics are drawn by hand, files are exported through a series of clicks, and circuit boards are validated for weeks on the test bench. When systems become complex, this process becomes hugely time-consuming and error-prone. \n\nImagine writing an entire complex software program using only assembly code. This is what designing hardware feels like today.\n\n### The solution\n\n![uploaded image](/media/?type=post&id=78992&key=user_uploads/333030/7f5d19f8-f3b0-4eab-958a-f28875b60ce0)\n\natopile is a new programming language to describe electronics with code. Instead of drawing the product itself, you can now capture your product requirements using atopile source code. From there, our compiler builds and validates the product manufacturing files for you. Not only is this faster and more reliable but it also lets you use advanced software development tools such as code editors, git, GitHub, GitLab, Continuous Integration, and copilot to design hardware.\n\nAfter [**launching on Hacker News**](https://news.ycombinator.com/item?id=39263854) and getting hundreds of downloads, we have seen a glimpse of an exciting future: our users have created new designs in atopile, used GitHub for version control, shared their work on our Package Manager, and used Continuous Integration to generate their manufacturing files automatically. Our most active users have also made contributions to our codebase, which we are super thankful for!\n\nEarly on, we decided to make atopile open-core. Our goal is to create a new industry standard for describing hardware. With an open-core approach, our users have guaranteed access to their code. Our plan is to generate revenue with enterprise-targeted features, in a model similar to GitLab.\n\n**Our code is on GitHub **[**here**](https://github.com/atopile/atopile)** and we have up-to-date docs **[**here**](https://atopile.io/getting-started/)**.**\n\n### Who we are\n\n![uploaded image](/media/?type=post&id=78992&key=user_uploads/333030/62696c0f-2b40-45d4-a8f4-8bb108672f51)\n\n[Matt](https://linkedin.com/in/matthew-wildoer-467a4992), [Narayan](https://linkedin.com/in/narayan-powderly-21949a180), and [Tim](http://https//www.linkedin.com/in/timotheepeter/) are life-long inventors, engineers, and now second-time founders. We have been engineers at companies including **Tesla, DJI,** and **Lilium**. We’ve worked on teams including [the 25-guns](https://twitter.com/elonmusk/status/1324283305789812736?lang=en), created prototyping facilities under executive mandate, and led critical software projects where the daily cost-of-delay ran into the millions.\n\nThe three of us met as we were building up a maker space in the Bay Area. After a few discussions, we quickly started putting together a prototype of the atopile compiler. We knew this had the potential to change hardware design after we compiled our first electronic printed circuit board.\n\n### ✉️ We are excited for the adventure ahead! Please email us at [founders@atopile.io](mailto:founders@atopile.io) to get in touch.",
        "url": "https://www.ycombinator.com/launches/KY4-atopile-a-new-language-to-design-electronic-circuit-boards-with-code",
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        "created_at": "2024-03-04T01:53:11.213Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "PartnerHQ is building the next generation LinkedIn. We are creating the world’s most valuable and accurate professional network graph by capturing and indexing vast quantities of relationship signals. \r\n\r\nIndividuals use PartnerHQ to grow and monetize their networks. B2B companies use PartnerHQ to buy warm intros and drive high-value sales. \r\n\r\nPartnerHQ was created during Y Combinator’s W24 cohort and launched in February of 2024. Since launch we have signed on hundreds of paying companies, domestic and international. 97% of all users have come inbound or word-of-mouth. ",
    "one_liner": "A marketplace for B2B businesses to buy warm intros. ",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1709441750,
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trypartnerhq/",
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    "founders": [
      {
        "user_id": 606466,
        "full_name": "Stan Liu",
        "title": "Founder/CTO",
        "founder_bio": "Founding engineer at Notable Health ($120M raised)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/stan-l-107a3b1b2",
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      {
        "id": 79400,
        "title": "💰 PartnerHQ - Buy warm intros to your prospects",
        "tagline": "We are a marketplace for B2B businesses to buy warm intros.",
        "body": "**tl;dr:** [PartnerHQ](https://trypartnerhq.com/) makes it easy for B2B businesses to turn intros into more sales. For individuals with large networks, we provide paid opportunities to connect companies with people in their network.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=79400&key=user_uploads/606466/feab95fa-002c-4d5b-ad9b-3d0205fe782b)\n\nHi everyone! We are [Stan](https://www.linkedin.com/in/stan-l-107a3b1b2/) and [Kat,](https://www.linkedin.com/in/katherine-wang-6760026a/) and we’re building [PartnerHQ](https://trypartnerhq.com/). We’re on a mission to help companies sell more through warm intros.\n\n## **❌ The Problem: Cold Outbound is Dying**\n\nSelling is harder than ever.\n\nModern founders are facing modern problems:\n\n* An average B2B company sends [306 cold emails](https://belkins.io/blog/cold-email-response-rates) to get 1 lead.\n* Email providers like Gmail have lowered [email spam report thresholds to 0.3%](https://www.cnbc.com/2023/10/03/googles-making-big-changes-to-prevent-gmail-spam.html) before your domain’s deliverability rate is compromised.\n* LinkedIn limits you to [100-200 messages per week](https://evaboot.com/blog/linkedin-limits).\n* Competition is fiercer than ever. True product differentiation is hard to find and harder to sustain in an age of plummeting software costs.\n\n## **🎉 The Solution: Warm Intros = Sales**\n\nSo how can you stand out and book more sales calls with buyers?\n\nEasy - with a **warm intro** through one of their personal connections.\n\nIn addition to helping you book calls, warm intros also buy you **trust**, the key to successful sales.\n\n84% of B2B buyers start the purchasing process with a referral, and sales close 46% faster when a partner is involved.\n\n![uploaded image](/media/?type=post&id=79400&key=user_uploads/606466/51099453-be3d-490b-95d9-3df575d623af)\n\n## **⚙️ How it Works**\n\n[PartnerHQ](https://trypartnerhq.com) is a marketplace where B2B businesses can find and buy introductions.\n\nPartnerHQ is for you if:\n\n* You're tired of asking your own network for intros and favors.\n* VCs are pressuring you to sell to larger companies.\n* Cold outbound isn't working.\n\nTo get started:\n\n1. **Describe your Ideal Customer Profile.** Specify what types of people you would like an intro to.\n2. **Set your bounty.** Decide how much you will pay for an intro to your ideal buyer. The average bounty on PartnerHQ is $500 per intro.\n3. **Watch your inbox.** Respond to intro emails and book sales calls with engaged prospects.\n\n![uploaded image](/media/?type=post&id=79400&key=user_uploads/606466/49e7c98f-68f8-401f-bd78-c7a8fde985ec)\n\n**🙏 Asks:**\n\nInterested in hitting your revenue targets? Learn more: <https://trypartnerhq.com/>\n\nInterested in getting paid to make intros? Learn more: <https://trypartnerhq.com/earn>\n\nInterested in investing? Email us at [founders@trypartnerhq.com](mailto:founders@trypartnerhq.com)",
        "url": "https://www.ycombinator.com/launches/Kee-partnerhq-buy-warm-intros-to-your-prospects",
        "votes": 36,
        "created_at": "2024-03-14T21:22:25.095Z"
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    "one_liner": "AI agent that generates unit and integration tests",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usetusk",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
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        "user_id": 317259,
        "full_name": "Marcel Tan",
        "title": "Founder/CEO",
        "founder_bio": "Marcel is the co-founder and CEO of Tusk. Prev. technical PM for 6sense's AI email product, which he took from $300K to $8.9M TCV in a year. Working hard to help engineering leaders prevent regressions. Graduated from UC Berkeley. Hacking on projects with Sohil since college. Saved a bar from going out of business once. Former Company Commander of 300 officers in the Singapore Police Force.",
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        "linkedin_url": "https://linkedin.com/in/marcel-tan",
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        "full_name": "Sohil Kshirsagar",
        "title": "Founder/CTO",
        "founder_bio": "Sohil is the co-founder and CTO of Tusk. Previously a Senior Software Engineer at Aspire, where he led the workflow orchestration and automations team that powered millions of influencer collaborations. Now working hard to help engineers focus their time on fulfilling work. Graduated from UC Berkeley with a degree in Electrical Engineering and Computer Science. Built the most popular online prop bets game for the Super Bowl in a weekend.",
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      {
        "id": 87010,
        "title": "Tusk 🐘 - AI Agent for Generating Unit/Integration Tests",
        "tagline": "Anticipate and prevent bugs with AI-powered unit/integration tests in your CI",
        "body": "Hey everyone, we’re Sohil and Marcel, the founders of [Tusk](https://usetusk.ai) (YC W24).\n\nTusk is an AI agent that **generates unit and integration tests** for your PRs.\n\nWe’re the team that built the first publicly available AI coding agent in the market. Now we’re focused on taking on the tedious software engineering work that developers dread the most — writing automated tests.\n\n<https://youtu.be/OK_uhIGEQ0Y?feature=shared>\n\n## Problem\n\nIt goes without saying that writing tests is important for maintaining high code quality in any engineering organization.\n\nHowever, any software engineer who has had to hastily meet product deadlines knows that writing unit and integration tests is the first thing to go. Their main priority in this case is to ship the feature as fast as possible.\n\nThe problem is that the lack of tests then results in **customers complaining about bugs** in the feature. And all too often the blame is assigned to engineering leadership for not caring enough about quality.\n\nWe know how painful this experience is from our previous jobs. We’ve experienced instances of forgone tests leading to embarrassing bugs, including one that ruined a live demo for a high-value pilot customer (who you can guess didn’t convert).\n\n## Solution\n\nWe built [Tusk](https://usetusk.ai/) to provide EMs and senior engineers in charge of quality efforts a way to **ship fast while improving code quality**. Our AI agent generates unit and integration tests using your codebase context and business logic.\n\nTusk functions as a non-blocking PR check that suggests **happy path and edge case tests** that have not been covered by the existing test suite. Our agent shows you which tests have passed or failed and allows you to incorporate the test cases into the PR with one click.\n\n![uploaded image](/media/?type=post&id=87010&key=user_uploads/317259/da66276a-94e5-4cf0-8cf7-b9e0e5635fe6)\n\nEngineering teams at companies like DeepLearning.AI, Wyndly, and Afterword use Tusk to prevent bugs while increasing test coverage.\n\n> Tusk is the first AI tool that noticeably accelerated our dev cycle. By scaling our testing infra, it's given us confidence to ship faster and been instrumental in helping our lean team scale across 3 stacks. Of all the AI tools being built right now, I'm most excited about Tusk.\n\n– Zack Moy, Co-Founder & CTO at [Afterword](https://afterword.com/)\n\n> Edge cases that are not covered can cause the most critical issues. By using Tusk, our team gains an additional guardian to protect our product from the threats of edge cases.\n\n– Amo Chen, Senior Backend Engineer at [DeepLearning.AI](http://DeepLearning.AI)\n\n> Our priority as a fast-shipping product team is making sure we get high quality code out the door quickly. Tusk has been instrumental in helping our engineering team increase test coverage with minimal effort.\n\n– Aakash Shah, Founder & CEO at [Wyndly](https://www.wyndly.com/) (YC W21)\n\n## Why Use Tusk\n\nTusk surpasses other test generation and code review tools in these ways:\n\n**We run the tests we generate**. Tusk runs the tests it generates in an ephemeral sandbox and iterates on its output so you can be confident that its tests are checking for relevant happy path and edge cases. Code review tools do not do this, which results in vague comments that are hard to trust.\n\n**Optimized for test generation quality**. 69% of Tusk-generated test suites are incorporated into customers’ PRs. We use more compute to reason through test scenarios. AI copilots in your IDE are optimized for latency as opposed to quality when generating tests.\n\n**Developer-centric, fully customizable**. Tusk puts engineers in control by allowing them to accept/decline the generated tests and customize configs to meet your team's testing guidelines (how to mock, using factories, avoiding specific directories, etc.).\n\nRead [our documentation](https://docs.usetusk.ai/automated-tests/overview) to learn more.\n\n## Interested?\n\nTusk is now available for growth-stage and enterprise companies looking to auto-generate tests for their PRs and/or backfill tests for their monolith.\n\n[Apply for access](https://tally.so/r/nP29pQ) to see how Tusk can help your team ship faster but safer.",
        "url": "https://www.ycombinator.com/launches/MdO-tusk-ai-agent-for-generating-unit-integration-tests",
        "votes": 39,
        "created_at": "2025-01-21T17:31:55.265Z"
      },
      {
        "id": 78780,
        "title": "🐘 Tusk - AI coding agent that completes your chores",
        "tagline": "We complete annoying tasks from ticket to PR, helping engineers avoid context-switching.",
        "body": "**tl;dr**: [Tusk](https://usetusk.ai) is an AI coding agent that completes annoying tickets, letting software engineers focus on more important work. Simply assign a ticket to Tusk. Our AI will traverse your codebase for context and then create a pull request (PR).\n\n![uploaded image](/media/?type=post&id=78780&key=user_uploads/317259/6868cbd5-72a5-495b-b4df-022d6b53d313)\n\nHey everyone! We’re Sohil and Marcel.\n\nWe’re on a mission to boost developer productivity and satisfaction by automating the day-to-day tasks that bog down software engineers.\n\n# Problem\n\nSoftware engineers are often assigned menial “product quality” tickets and bugs that require them to context-switch from more important, interesting work.\n\n**15-20% of all tickets** in the typical 2-week sprint are chores like fixing bugs and polishing up UI. Additionally, there are similar tickets in every company’s graveyard backlog that rarely ever get cleared.\n\nThe result? A simple engineering task that should’ve taken 15 minutes to complete sometimes ends up taking 3 weeks to get done, or not at all.\n\nWhile it makes sense for engineers to deprioritize these tasks, this work is important for ensuring that customers have a delightful, bug-free user experience. Janky UX on an ongoing basis causes “**death by a thousand cuts**” for customers, leading to churn.\n\n# Solution\n\n[Tusk (YC W24) Demo](https://youtu.be/W0O3p5EIO1I?feature=shared)\n\n[Tusk](https://usetusk.ai/) is an AI coding agent that completes product quality tickets and bug fixes, letting your software engineers focus on more important work.\n\nWe integrate with Linear, Jira, Notion, and GitHub so that engineers can **go from ticket to PR** with one click of a button. We’re fully embedded into your engineering workflow so you don’t have to change how you work.\n\nWith Tusk, engineers no longer need to context-switch to do something simple like adding a confirmation modal or fixing a page index bug for table pagination.\n\n### How Tusk works\n\n* **Simply assign a ticket to Tusk**. Our AI agent will traverse your codebase for context and create a PR for the ticket.\n* **Tusk will** **regenerate code to address PR reviews** left by engineers and errors in automated checks.\n* **Tusk investigates complex tasks** and provides a branch and advice to save engineers time even if it can’t create a PR.\n* **Beta**: If your team deploys a preview environment for every PR, Tusk will do an end-to-end test of the change and record a testing video.\n\n# Our story\n\n![uploaded image](/media/?type=post&id=78780&key=user_uploads/317259/51f7aee6-bf8d-400d-a07f-b09da476bce6)\n\n[Sohil](https://www.linkedin.com/in/sohil-kshirsagar/) was previously a Senior Software Engineer at Aspire. Because of his product-mindedness, he was usually the first engineer to complete product quality tickets. Sohil was also the first person to tell you that **these chores distracted him** from working on more important tasks.\n\n[Marcel](https://www.linkedin.com/in/marcel-tan/) was formerly a Product Manager for 6sense’s AI email product. He often made product decisions that were outside of the initial PRD due to customer feedback. However, he risked distracting his engineers by pulling these ad hoc tickets into the current sprint.\n\nWe both deeply wished there was a way to **protect engineers’ uninterrupted coding blocks**, while also raising the quality bar of our products. Today we’re using Tusk to help build our own product.\n\n# Get early access\n\nWe’re already helping companies like Wefunder (YC W13), Toolbox (YC S20), and HitPay (YC S21) automate up to 20 engineering tickets monthly.\n\n**Apply to get early access** **to Tusk** **on** [**this form**](https://tally.so/r/w4xOpA). We’ll give the first 50 companies who sign up free customization of your AI agent and a white-glove onboarding.",
        "url": "https://www.ycombinator.com/launches/KUe-tusk-ai-coding-agent-that-completes-your-chores",
        "votes": 71,
        "created_at": "2024-02-27T00:05:02.472Z"
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    "id": 29311,
    "name": "Engines",
    "slug": "engines",
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    "website": "https://engines.dev",
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    "long_description": "Engines is an AI platform engineer that containerizes codebases, debugs Terraform code, and helps you get complex monorepos setup.",
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    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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    "status": "Inactive",
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        "title": "OneGrep — Reduce Observability costs and resolve incidents faster",
        "tagline": "OneGrep makes observability efficient and actionable for fast-moving teams.",
        "body": "**TL;DR** — [OneGrep](https://www.onegrep.dev) is every engineer’s dedicated Observability Copilot. OneGrep helps engineers resolve incidents 10X faster and more efficiently. We do this by fine-tuning LLMs with real-time telemetry as well as knowledge bases that engineers use to operate their production systems.\n\nTeams can deploy OneGrep on their own infrastructure or use our cloud. If you are an engineer, we invite you to try us out! [onegrep.dev/try](http://onegrep.dev/try)\n\n# Problem\n\nEvery engineering team struggles with observability cost bloat and incident management when they are moving fast.\n\n![uploaded image](/media/?type=post&id=79014&key=user_uploads/108240/27337479-43ff-4af3-b1a9-33d826abd4ce)\n\n### Why Does This Happen?\n\n🔨 — Engineers find it hard to instrument code effectively and they make unintentional, costly mistakes.\n\n![](https://lh7-us.googleusercontent.com/g9TzD8RlqcCxPkwE7FDt9EuRHrZacWUc3fjAOJ1eHWblTPS1dqTzJ5sis9UQnzvZowvDTLBHUb-UU3PFE8rFuDxhvka5E_tolNjX50lmjnb3fs6QujAC9pdvaou9metU2ji-8Y1_kF2s5EVNmKcuGw)\n\n📲 — On-call engineers find mitigating incidents to be very difficult because it is hinged on tribal knowledge and tool know-how.\n\n* Engineers spend **25%** of their time on on-call-related work, which equates to companies spending \\~**$61,000** per engineer for on-call work  — _and that’s not including the DataDog bill._\n\n**TL;DR —** Engineers struggle to find answers using observability and pay a lot for unintentional mistakes.\n\n# ✅ Solution — Have your cake & eat it too\n\nEngineers can use OneGrep to make telemetry **actionable** and **efficient**.\n\nHere’s a **13-second** example of OneGrep cutting noisy logs **by 50%** and saving a team thousands of dollars:\n\n![uploaded image](/media/?type=post&id=79014&key=user_uploads/108240/6322e5bd-87f6-43aa-a402-3d35bf8bf167)\n\nAnd here is an example of OneGrep helping an engineer automatically resolve an incident — ✔️ gone are the days of reading through retros, parsing logs, or pinging the entire team:\n\n<https://youtu.be/QJKtHzgqC_4>\n\nCut costs & resolve incidents faster with OneGrep.\n\n——\n\n# Who We Are\n\nWe are [Achintya](https://www.linkedin.com/in/achintya-ashok/) & [Brian.](https://www.linkedin.com/in/briancripe/) We have applied telemetry best practices to highly distributed systems at Coinbase, DisneyPlus, AWS, Tableau, & Goldman Sachs. We hated our daily struggle with observability and we know how and why other engineers do too. We share the plight of all engineers who have struggled and continue to struggle with noisy alerts at 2 AM.\n\nSo, in the pursuit of helping engineers sleep more soundly knowing their systems are operational, we are on a mission to build the new way to do Observability.\n\n![](https://lh7-us.googleusercontent.com/DOphP_OzGeKanLDxit_2BMc3PtjCdDwIX-Vmf2UUAMjAx4S-Um0TqYn3n_e2ervRbp-PhBJ3ReDfR6IlJUbuGlH_O7BEtjjZDnVnvsaBe3eJgc0KxoLjvoBNRMvC5SnfwwTAi5ux1GUb7zzEEBN52w)\n\n_— Brian & Achintya inspecting the Y Combinator sign for any errant logs._\n\n## ➡️ Our Asks\n\n▶️ Do you have high DataDog bills? [Book a demo with us](https://cal.com/teamonegrep/demo).\n\n▶️ Do your engineers wish their on-call was better? [Learn how we can help](https://cal.com/teamonegrep/learn-in-30) or send us an email at [contactus@onegrep.dev](https://mailto:contactus@onegrep.dev).",
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        "body": "# **TL;DR**\n\nLucite helps group benefits advisors turn insurance carrier documents into client-ready insights and presentations, in seconds. Advisors simply upload carrier docs, and Lucite handles the rest, saving hours of tedious, error-prone work every day.\n\n<https://www.youtube.com/watch?v=4b8zmDm9dbI>\n\n# **❌ The Problem**\n\nGroup benefits advisors are drowning in documents. Their work is:\n\n**Manual:** Hours spent every day manually reviewing long insurance documents and retyping plan details into spreadsheets. It's tedious, repetitive, and prone to costly errors.\n\n**Fragmented:** Data lives across PDFs, emails, Excel files, and sticky notes, making it hard to track changes or serve clients efficiently.\n\n**Unscalable:** As firms grow and take on more clients, their workflows don’t scale. Every new group means more documents, more comparisons, and more repetitive work.\n\n# ✅ **Our Solution**\n\nSay goodbye to manual work. Lucite uses AI to automatically turn carrier docs into insights and exports.\n\n**Data Extraction from Carrier Documents:** Upload any benefits document — booklets, contracts, amendments, quotes, renewals, claims experience — and Lucite will automatically extract key details. Everything is stored, structured, and searchable.\n\n![uploaded image](/media/?type=post&id=89346&key=user_uploads/1489225/16324548-274c-416c-b15e-76e7c78da17d)\n\n**Insight Generation & AI Search:** Lucite analyzes the data and generates helpful commentary advisors can use in client communications. Users can compare documents side-by-side, ask questions like \"what changed from last year?\", and tap into benchmarking insights based on anonymized, aggregated plan data.\n\n![uploaded image](/media/?type=post&id=89346&key=user_uploads/1489225/82af4982-4bc1-418d-99a6-a42ffb857d67)\n\n**Deliverable Creation:** Lucite generates polished, branded, and fully editable exports in Excel, Word, and PowerPoint that can be downloaded and shared with clients.\n\n![uploaded image](/media/?type=post&id=89346&key=user_uploads/1489225/70243aeb-1080-4591-9c64-21880f787879)\n\n# **✨ Value Prop to Group Benefits Advisors & Brokers**\n\nLucite isn’t just a time-saver - it’s a business enabler. Here’s how we help firms level up:\n\n**Eliminate Tedious Work:** Free up teams from the grunt work of reading, retyping, and comparing carrier documents. Lucite automates the busywork so staff can focus on high-value, client-facing work.\n\n**Boost Revenue Without Scaling Staff:** With Lucite, teams become more efficient, serving more groups with the same headcount. That means higher revenue per employee, stronger margins, and increased enterprise value.\n\n**Differentiate with Technology:** Clients notice when firms are ahead of the curve. Our customers use Lucite to show prospects and existing clients that their firm is leveraging cutting-edge AI to deliver faster, smarter, and more strategic service, helping them stand out and win more business.\n\n# **🤝 Our Story**\n\n![uploaded image](/media/?type=post&id=89346&key=user_uploads/1489225/773038fd-f636-4801-b3ec-b3a930af22c1)\n\nJason (right) and Richard (middle) originally started Lucite to automate presentations for investment bankers. But after meeting Michael (left) and hearing firsthand about the document chaos in group benefits, they immediately saw a better application for their technology.\n\nThe three teamed up to build a revolutionary AI Platform for group benefits advisors, and they’re just getting started.\n\n**Jason (Co-Founder & CEO):** Jason was previously a growth equity investor at WestCap, where he focused on fintech and cybersecurity. He started his career as a technology investment banker at J.P. Morgan and holds a bachelor’s degree from Cornell University.\n\n**Richard (Co-Founder & CTO):** Richard spent 4 years as a software engineer and tech lead at Meta, working on large-scale data and ML intensive systems. He holds a BS in Computer Science from Cornell University.\n\n**Michael (Co-Founder):** Michael brings over 35 years of experience as a trusted benefits advisor. He was previously the founder and CEO of Accompass (formerly Pal Benefits), a leading independent firm focused on benefits, investment, and compensation.\n\n# **🙏 Our Ask**\n\n* If you’re a group benefits advisor, or a YC founder with overlapping customers, we’d love to chat! Reach out to us at [info@lucite.ai](mailto:info@lucite.ai)\n* If you know a group benefits advisor, we’d be grateful for an introduction.\n* Share this post and follow us on [LinkedIn](https://www.linkedin.com/company/lucitetechnologysolutions/?viewAsMember=true) to stay in the loop.",
        "url": "https://www.ycombinator.com/launches/NF4-lucite-the-ai-platform-for-group-benefits",
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        "title": "CloudCruise - Build healthcare browser automations faster",
        "tagline": "Run self-healing payer portal and EHR workflows on fully managed infrastructure",
        "body": "Last month, we served 500,000+ browser automations for some of the fastest growing healthcare companies in the US. CloudCruise is now GA.\n\n**The problem with browser agents today**\\\nBuilding browser agents with current frameworks seems promising until you hit production. The observation-action loop - where LLMs observe, reason, and act at runtime - is slow, expensive, and hard to debug.\n\n**How CloudCruise works differently**\\\nCloudCruise solves this by generating deterministic automation workflows instead. Our platform uses two specialized agents: a Builder Agent that converts your business process description into a deterministic browser automation workflow, and a Maintenance Agent that fixes broken workflows once they’re in production.\n\nThe Builder Agent takes your workflow description (or an existing SOP) and generates an automation workflow. You watch it work in real-time and clarify edge cases. Credentials are stored securely in your vault.\n\nThe Maintenance Agent keeps scripts alive in production. When a payer portal changes its selectors, adds a popup, or goes down, the Maintenance Agent detects it, classifies the error, and fixes it automatically. Complex issues escalate to a human.\n\n**Why this architecture wins**\\\nLLM costs are amortized over thousands of runs instead of paid on every step. Once in production, workflows are versionable, behave consistently and run at browser-native speed.\n\n**Try It**\\\nIf you're building in healthcare, sign up at [app.cloudcruise.com](http://app.cloudcruise.com) and try us out. We're live with dozens of teams doing eligibility verification, prior auth, payment posting and more.\n\n—\\\nExplainer: <https://www.youtube.com/watch?v=RkBO8mjhPyA>\\\nProduct Walkthrough: <https://youtu.be/0ggfJ0Q2Szs>",
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        "created_at": "2026-06-23T03:55:25.154Z"
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      {
        "id": 79207,
        "title": "CloudCruise - Automation that works like humans do",
        "tagline": "Automate repetitive work in your browser like generating leads, filling out forms or processing orders.",
        "body": "![uploaded image](/media/?type=post&id=79207&key=user_uploads/682099/1d9ebede-6872-499f-835d-bb6ef6249f42)\n\n**😡 CloudCruise was created to solve our own problem!**\n\nWhile working on our previous idea, we spent 20 hours each week checking the websites of hundreds of companies to see if they met our target criteria.\n\nWe wanted to automate this process, but we couldn’t find any good options. APIs were too limited and none of the web automation tools worked.\n\nIt turned out that other founders were also looking for solutions to this problem. More generally, knowledge workers are spending hours doing repetitive tasks, which can’t be automated with current tools. We found HR teams filling out admin forms, Operations processing orders, and Sales manually prospecting. \n\n**☁️ CloudCruise automates repetitive work in the browser**\n\n[CloudCruise](https://cloudcruise.com/) processes a list of items with a step-by-step workflow. You can use our tool to grab any list on the web, or you can upload a CSV. \n\nWorkflows are made up of a series of actions like inputting text, clicking elements, or extracting data from a page. \n\nEach step can be LLM-powered, so CloudCruise can translate general instructions like “find contact page” to a click action and DOM element on any website. This works even if the website layout is unpredictable or DOM elements are rotated.\n\nCloudCruise works right next to you, in a tab of your browser. So you can either watch its progress or continue with other work as normal. \n\n**🧑‍🤝🧑 The Team**\n\nCo-founders [Adrian](https://linkedin.com/in/adrian-ziegler), [Felix](https://linkedin.com/in/felix-eckert-807095191) & [Vere](https://linkedin.com/in/felix-eckert-807095191) bonded at Stanford and Google. Previously, Adrian was building state-of-the-art computer vision models, Felix was researching new user interfaces for LLMs, and Vere was shipping billion-dollar products at YouTube Ads.\n\n![uploaded image](/media/?type=post&id=79207&key=user_uploads/682099/0bd2996e-34ef-4b3b-a16b-01291c5dc048)\n\n**Our Ask**\n\n* If you have a repetitive workflow you’d like to automate, join the [waitlist](https://cloudcruise.com/). We’re onboarding new users to the product every day. \n* We just launched a free Chrome extension that lets you grab & download a list from anywhere on the web. Check it out [here](https://chromewebstore.google.com/detail/cloudcruise/idegaiedponalbmkcpmmeimfjpfkhopn)!",
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        "title": "Celest 💙 turning every Flutter developer into a full-stack developer",
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        "body": "When I was at AWS building Amplify Flutter, I found myself wanting to write more and more of my code in Dart. I loved being able to maintain my flow state and use a single programming language—one I’d grown quite fond of—for everything. CLIs, tooling scripts, HTTP servers… if I needed a piece of code, I would find a way to write it in Dart.\n\nThe ecosystem for these use cases was immature but that just made it a challenge, which I loved. _Use the right tool for the job_, you may say. Nah… I want to use Dart. I thought I was alone in this quest but, I was okay being the crazy one.\n\nAnd then, to my surprise, our customers began asking\n\n“When can I write my Lambdas in Dart?”\n\n“When is AWS going to release an SDK for Dart so I can use it in my backends?”\n\nIt dawned on me that there was perhaps something deeper we were all experiencing, something more fundamental about coding being expressed.\n\nJavaScript is one of the most popular server-side languages in use today. A reasonable person with no knowledge of JavaScript may conclude from this that it’s because JavaScript is performant, efficient, or otherwise designed for the server.\n\nThe reality, though, is that developers will often seek the path of least resistance in an environment replete with friction. It’s easy to deride a choice in language, but it’s hard to downplay the numbers. Software engineers are human, after all—and humans are constantly optimizing their flows.\n\nFlutter was born from a desire to solve this age-old quest of optimization—first, as a way to build iOS and Android apps from the same codebase, saving teams the burden of managing two separate products. Then, to desktop and web applications, dramatically reducing the barrier to entry for these platforms too. The vision is largely realized. And, thanks to Dart, it’s been done without sacrificing performance.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/d2f6624a-21cf-4080-93ba-a61020b1070b)\n\nOur mission with [Celest](https://celest.dev/) is to fill in the last piece of this puzzle—the cloud. We do that, simply, by starting and ending with Dart.\n\nHere’s how you define a cloud function with Celest.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/78043071-9e1e-4349-907e-ffc1c1f08c3e)\n\nAnd here’s how you add authentication.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/8ca2deb1-8964-4b0b-b08b-734e58a02c6b)\n\nTo test it out, you run `celest start` and iterate on your backend locally as you build your Flutter app. Your functions hot reload as you save your changes, and integration comes free with an auto-generated client library.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/6222b983-d692-43f1-8f83-58c42a131053)\n\nAnd when you’re ready to turn this into a fully managed and auto-scaled backend, you run `celest deploy`. That’s it.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/ad25a06e-a7c8-4fb9-b6d9-b591519c8b98)\n\nAs a Flutter developer, I’ve never left the Dart programming language, never thought about the many layers of abstraction beneath, and didn’t even need to leave my IDE to solve an otherwise laborious and flow-breaking task. I’m back to writing my app in less than 5 minutes. It feels like I’d never left.\n\n---\n\nCelest is the product I always wanted as a Flutter developer, the tool I had felt crazy for wanting at one point. It feels a little less crazy now, but only time will tell :-)\n\nYou can try and play with Celest for free today. Our cloud offering has started rolling out to the waitlist and will be publicly available in the coming weeks. For this and all the other goods in store, check us out @ [celest.dev](https://celest.dev?utm_source=ycombinator&utm_medium=blog&utm_campaign=launch_yc)\n\nAnd if this story rings true for you (or not), I’d love to hear your thoughts\n\n[dillon@celest.dev](mailto:dillon@celest.dev)\n\nTo the crazy ones 😎 🎯\n\nDillon, Chief Celestial",
        "url": "https://www.ycombinator.com/launches/Kdu-celest-turning-every-flutter-developer-into-a-full-stack-developer",
        "votes": 45,
        "created_at": "2024-03-13T14:29:37.676Z"
      }
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    "id": 29322,
    "name": "Glimmer",
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    "website": "https://www.withglimmer.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Glimmer is a new way to search massive PDFs using AI.\r\n\r\nIf you've ever dealt with massive PDFs (i.e. over 1,000 pages), you know how broken search can be. You have no choice but to use “Cmd-F” and manually sift through thousands of search results to find specific information. Professionals in construction, law, finance, and healthcare spend hours doing this every day.\r\n\r\n\r\nGlimmer makes searching these large documents 10x easier. \r\n\r\n\r\nWhen you upload a PDF, Glimmer uses AI to intelligently index your documents. You can then search your PDF in natural language and get answers with verifiable page sources.\r\n\r\n\r\nYou can get started with Glimmer for free with any kind of PDF at withglimmer.com. ",
    "one_liner": "AI search for massive PDFs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709828657,
    "tags": [
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      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/glimmer",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/glimmer.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98872753/admin/feed/posts/",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1399956,
        "full_name": "Praneeth Guduguntla",
        "title": "Founder",
        "founder_bio": "Praneeth is the co-founder and CEO of Glimmer. Previously, he built computer vision widgets at Palantir and launched the first AI video editing tool for Facebook Reels at Meta. Praneeth graduated from UIUC with a computer science degree where where he and his co-founder built software for nonprofits together. ",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/praneethguduguntla",
        "x_url": "https://twitter.com/prantheman__",
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        "user_id": 1389259,
        "full_name": "Arman Rafati",
        "title": "Founder",
        "founder_bio": "Arman is the co-founder and CTO of Glimmer. Previously, he worked on corporate cards at Mercury, the first-ever BNPL debit card at Affirm, and helped launch AWS's Heroku competitor, AppRunner. Arman studied Computer Science & Economics at UIUC. He spent most of his free time in college building software for nonprofits, and most of his free time in high school reselling sneakers and building an app that he sold to his high school.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/armanrafati",
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    "jobs": [],
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    "launches": [
      {
        "id": 79168,
        "title": "✨ Glimmer – AI search for massive PDFs",
        "tagline": "Glimmer makes searching large documents 10x easier.",
        "body": "**TLDR:**\n\n**If you've ever dealt with massive PDFs (i.e. over 1,000 pages), you know how broken search can be.** We know people in construction, law, finance, and healthcare who spend hours doing this every day. With Glimmer, you can search PDFs in natural language and get answers with verifiable page sources. Start uploading your own PDFs for free at [withglimmer.com](http://withglimmer.com).\n\nHi! We’re [Praneeth](https://linkedin.com/in/praneethguduguntla) and [Arman](https://linkedin.com/in/armanrafati) and we’re building Glimmer, **a new way to search massive PDFs using AI.**\n\n![uploaded image](/media/?type=post&id=79168&key=user_uploads/1399956/43131bdf-6eac-4848-a206-fa8c5b88be96)\n\n**The Problem:**\n\nSearching through huge PDFs sucks!\n\nMeet James, a project manager at a commercial HVAC subcontractor that does construction projects for the City of San Francisco. The worst part of his job is spending hours every day searching through an 8000-page construction specification trying to figure out things like “What is the fire damper manufacturer?” or “What is the motor speed for HVAC fans?”. Currently, the entire industry uses **“Cmd-F” keyword search and manually goes through thousands of search results** to find answers to their questions.\n\n![](https://lh7-us.googleusercontent.com/tQrqCYJYcWN1CFlL11qpllX9JFYAM9c1VYCTBjPBJ85tbOTLkSofjyWZr7dK3f5U2Hcp1z9WYAInhHOrzG8ikM-mymFmiXcuuMf8T_rA1iV4hzY8TYvRiY491mhJIouH9j0jUR94Q4xum05YFcJm14g)\n\n![uploaded image](/media/?type=post&id=79168&key=user_uploads/1399956/f06c509a-6a3b-402a-b25f-c3b0da9f50ca)\n\nWhen we first met James at his office, **he was trying to feed his document into ChatGPT but he couldn’t even upload it** – his PDF was over 200MB!\n\nJames’ experience is far from unique. In law, lawyers and paralegals read and write long legal papers and contracts, searching for specific details that help them advise clients and do legal work. In healthcare insurance and coding, employees read through massive manuals and patient records to get the right information for billing and handling insurance claims.\n\n**✨ The Solution**\n\n**Glimmer uses AI to make finding information in large documents 10x easier.** When a user loads in their PDF (up to 10k pages), we intelligently chunk up their documents so they’re able to use natural language to ask questions and find exact sources within their documents.\n\nTry the interactive [demo](https://demo.withglimmer.com).\n\n**Get Started**\n\nGlimmer is completely self-serve, free to use, and works on any kind of PDF. **Visit **[**withglimmer.com**](http://withglimmer.com)** and upload your first PDF.** You can immediately begin searching for anything in your document in natural language.\n\n**About us**\n\nWe both met during our freshman year at UIUC and built several viral generative AI apps together that have been used by 50k+ people. Arman has previously worked on Mercury’s corporate credit/debit cards, helped launch the first-ever BNPL Debit card at Affirm, and worked on AWS’s Heroku competitor called App Runner. Praneeth built the first-ever AI video editing tools for Facebook Reels at Meta and developed image annotation tools for computer vision workflows at Palantir. **Now, we’re building the best search engine for PDFs.**\n\n![](https://lh7-us.googleusercontent.com/rXn8fL_PUfXh_VyKSvkB31IYubKvHQlx7ojC671s1F3ltyDpQXQ6f4LtiK767-cuTvRavzMgBSa3g8VnRQbspYB5eniFWMvPlSa9kLAxmVXC9x6b1tf2JzS3sSvQ7iEuKi4qsOtgbPAFgu6jubwOpsY)\n\nThis is us at a $3B+ construction site where James’ company works in SF.\n\n![](https://lh7-us.googleusercontent.com/1JLtj9A1EhuDIAEo4DZHf9_A4U6qLKtpWacbHPC7TiQ83aCYTSDzrL2CuGKapxNPslqYVY6h-a0R_lv8g8QCkOIaMRp24i40N7nu4uDrW_tDRSLplv2oXEvzkcpQ_oPxH6a4E_40fFKpp2kO6x6EZY0)\n\n**Our Asks**\n\n* Upload your own PDFs and start searching with Glimmer\n* We’re looking for introductions to folks who deal with large PDFs on a daily basis across construction, finance, law, etc. Feel free to reach out to us at [founders@withglimmer.com](mailto:founders@withglimmer.com)\n\n \n\n---\n\n---\n\n---",
        "url": "https://www.ycombinator.com/launches/Kau-glimmer-ai-search-for-massive-pdfs",
        "votes": 51,
        "created_at": "2024-03-07T17:35:16.748Z"
      }
    ]
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  {
    "id": 29323,
    "name": "Zaymo",
    "slug": "zaymo",
    "former_names": [
      "Zaymo Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5f257204d98f9d544a5265e0aac1efeeae4f1f3.png",
    "website": "https://zaymo.com",
    "all_locations": "Lehi, UT, USA",
    "long_description": "Zaymo is a full-stack retention marketing agency for the largest brands on Shopify. We bring all your data in house, remove the guess work, and automate the busy work. Agents find opportunities, build content, and iterate autonomously while expert retention marketers help you set strategy and oversee outputs.",
    "one_liner": "Zaymo is building an AI marketing agency",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1701370559,
    "tags": [
      "E-commerce",
      "Marketing",
      "Email",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/zaymo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/zaymo.json",
    "year_founded": 2024,
    "city": "Lehi",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/zaymo",
    "x_url": "https://twitter.com/GetZaymo",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/zaymo",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1176709,
        "full_name": "Brice Douglas",
        "title": "Founder/CEO",
        "founder_bio": "I believe that to create is core to humanity, so I love to build things.\n\nIn college, I was very involved at the world's largest student-run venture firm and worked in the corporate strategy group of a public YC company. I met Santiago and Danny at a university hackathon, and we decided to work together on Zaymo before dropping out to raise a pre-seed.\n\nI like to be outside. Catch me skiing, rock climbing, and running when I'm not building.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bricedouglas",
        "x_url": "https://twitter.com/thebricedouglas",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84ff27df7702e931b3a54dc6d1e637f898ab9cd7.jpg"
      },
      {
        "user_id": 1217059,
        "full_name": "Daniel Jones",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO of Zaymo with previous experience in AI and biotech at Harvard Medical School. I won $900k+ in pitch competitions throughout undergrad, published several research papers, and was a competitive pianist. Before Zaymo I did enterprise software sales for an early startup and started a coaching program. I've lived in Germany, New Zealand, and Russia and enjoy trail running, big ideas, and chess",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/daniel-kj",
        "x_url": "https://twitter.com/danielkentjones",
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    "jobs": [
      {
        "id": 71456,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/zaymo/jobs/xGeVSF8-software-engineer",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $130K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 81361,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/zaymo/jobs/tLztjfJ-senior-software-engineer",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "TypeScript"
        ]
      },
      {
        "id": 104129,
        "title": "Product Support Lead",
        "url": "https://www.ycombinator.com/companies/zaymo/jobs/sKOuuDH-product-support-lead",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$55K - $75K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Gozney Increases Abandoned Cart Revenue 27% with Zaymo",
        "url": "https://zaymo.com/blog/gozney-case-study",
        "date": "Oct 23, 2023"
      },
      {
        "title": "Zaymo Raises $700K Pre-Seed Round - TechBuzz News - Utah Tech News",
        "url": "https://www.techbuzz.news/zaymo-raises-700k-pre-seed-round/",
        "date": "Aug 16, 2023"
      }
    ],
    "launches": [
      {
        "id": 78528,
        "title": "📧 Zaymo: Shop directly inside emails",
        "tagline": "Lift email conversion rates 27% by embedding Shopify directly in the email",
        "body": "**tl;dr:** _Recent changes to email protocols allow websites to be embedded in emails. _[_Zaymo_](https://zaymo.com/)_ is the first email design tool that allows users to complete actions, like shop for products, directly inside an email. Our interactive emails have brought in 27% more revenue than existing solutions._\n\n[**🧠**](https://emojipedia.org/brain) **no-brainer ask**: If you’re reading this, you can **gift a free trial with Zaymo.** We don’t offer free trials outside of this post. Intro a Shopify brand to [founders@zaymo.com](mailto:founders@zaymo.com) and you’re good to go :)\n\n### problem\n\n* **1 - 3% conversion rates** at best from e-commerce emails\n* However, e-commerce stores attribute **\\~20 - 30% of total revenue** to email marketing\n* Interactive emails work well, but cross-platform compliance means **implementation requires several hours of coding** for a single email\n\n### solution\n\nMarketers can build reliable interactive emails in minutes with Zaymo. Here’s an email that increases orders for subscription brands and improves retention.\n\n![uploaded image](/media/?type=post&id=78528&key=user_uploads/1176709/e8941b14-5a3b-4569-b423-c76a17cd1f83)\n\nZaymo supports the following:\n\n* In-email abandoned cart recovery\n* In-email one-click subscription upsell\n* In-email Campaigns\n* In-email Review collection\n* In-email Forms\n\nEventually, we’ll support hundreds of use cases.\n\n**Case study:** [**A/B test with Zaymo increases revenue by 27% for Gozney**](https://getzaymo.com/blog/gozney-case-study)\n\n### backstory\n\nAs a PM, Co-founder [Santi](https://linkedin.com/in/gomezpaz) led Turing.com to adopt interactive emails after proving out a 3x conversion rate boost in A/B tests. After unsuccessfully searching for 3rd-party tools, his team built the functionality into their internal tool.\n\nSanti knew in-email interactivity should be more accessible to marketers, and Zaymo was born.\n\n### ask\n\nIf you’re reading this, you can **gift a free trial with Zaymo.** We don’t offer free trials outside of this. Just intro a Shopify brand to [founders@zaymo.com](mailto:founders@zaymo.com) and you’re good to go :)\n\n### additional examples\n\nAbandoned cart recovery\n\n![uploaded image](/media/?type=post&id=78528&key=user_uploads/1176709/9321eac7-7585-4376-a089-2b0fbc627217)\n\nReviews\n\n![uploaded image](/media/?type=post&id=78528&key=user_uploads/1176709/612e7605-7ef5-4673-9989-d1debfaeeb68)\n\nEmail builder\n\n![uploaded image](/media/?type=post&id=78528&key=user_uploads/1176709/3b2e6c72-b81b-453d-a6a1-fd94b8201e0b)\n\n",
        "url": "https://www.ycombinator.com/launches/KQa-zaymo-shop-directly-inside-emails",
        "votes": 24,
        "created_at": "2024-02-19T19:09:25.446Z"
      }
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    "id": 29324,
    "name": "PromptArmor",
    "slug": "promptarmor",
    "former_names": [
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    "website": "https://promptarmor.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "LLM Security and Compliance",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1702083397,
    "tags": [
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      "Security",
      "Cybersecurity",
      "AI"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
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    "url": "https://www.ycombinator.com/companies/promptarmor",
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        "url": "https://www.ycombinator.com/companies/monumint/jobs/8bboV1Y-enterprise-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$275K - $325K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98601,
        "title": "Mid Market Account Executive",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/TAqtXXR-mid-market-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$225K - $275K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98604,
        "title": "Head of Sales",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/Jv3hz2J-head-of-sales",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$275K - $325K",
        "equity_range": "0.10% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98605,
        "title": "Content Marketing Lead",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/LkSS77h-content-marketing-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$125K - $175K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98610,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/et9bI4n-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 98611,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/j63VmUv-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "0.50% - 1.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 108354,
        "title": "Enterprise Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/puWsZLX-enterprise-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$75K - $125K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114194,
        "title": "Strategic Advisor",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/4ao5iXu-strategic-advisor",
        "location": "US / Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "OmniAI transforms business data for AI | TechCrunch",
        "url": "https://techcrunch.com/2024/06/22/omniai-transforms-business-data-for-ai/",
        "date": "Jun 22, 2024"
      }
    ],
    "launches": [
      {
        "id": 105024,
        "title": "🏦 Monumint: Voice AI for financial services",
        "tagline": "AI agents that communicate with customers across the entire financial journey",
        "body": "## TL;DR\n\nFinancial services has always been a relationship business.\n\n* In the U.S., people spend 10 billion minutes a year on the phone with their bank\n* Only 60% of customer interactions occur during business hours\n* Our customers use Monumint to increase operational capacity by 4x while delivering a 24/7 high-touch customer experience\n\nFrom opening a deposit account to financing a home or growing a business, trust is built through millions of conversations between financial institutions and their customers.\n\nAt Monumint, we're building conversational AI that helps financial institutions communicate with every customer on a more personal level. From account opening and lending to servicing and collections, our AI agents support the entire financial journey.\n\n<https://youtu.be/kRdb2afGcrA>\n\n## **❌** The problem\n\nFinancial services is one of the largest industries in the world.\n\nEach year in the US there are more than 80 million new consumer and small business loans. There are more than 4,500 banks, 4,500 credit unions, and thousands of mortgage lenders, consumer lenders, and fintechs, all aiming to build lasting relationships with their customers.\n\nDespite this, much of the industry still relies on manual customer operations. Teams spend countless hours following up with customers, chasing documents, answering the same questions, and updating multiple systems.\n\n## **✅** The solution\n\nMonumint is built around three pillars.\n\n**Conversational.** Customers communicate through voice, SMS, email, and built-in web chat.\n\n**Connected.** Our AI agents integrate with existing systems including CRMs, loan origination systems, core banking platforms, and servicing software to retrieve information and take action.\n\n**Compliant.** Every conversation is designed for the regulatory requirements of financial services, including TCPA, fair lending, audit trails, and built-in guardrails.\n\nMonumint makes it possible for financial institutions to build lasting customer relationships at a scale that was never possible before.\n\nToday, we are partnered with some of the largest lenders in the country and have handled more than 5 million customer interactions.\n\n## 🙏 Our ask\n\nWe're looking for intros to banks, credit unions, lenders, and fintechs that want to bring conversational AI into their customer experience.\n\nEmail us at [tyler@monumint.com](mailto:tyler@monumint.com) or [book a demo here](https://calendly.com/meet-tyler/30min).\n\nLet’s build something monumental!",
        "url": "https://www.ycombinator.com/launches/RJw-monumint-voice-ai-for-financial-services",
        "votes": 18,
        "created_at": "2026-07-09T14:41:23.451Z"
      },
      {
        "id": 78643,
        "title": "⚡️OmniAI - Structure your unstructured data",
        "tagline": "Transform unstructured data into beautiful SQL tables.",
        "body": "Hey everyone 👋 We’re Anna and Tyler from [OmniAI](https://getomni.ai/), and we help clean up data using AI.\n\n### **🪄 Omni in action: Turn YC demo day videos into data**\n\nHere we started with a database of all the public demo day videos and extracted some of the most interesting business metrics — without needing to watch hundreds of videos.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78643&key=user_uploads/457262/b93d8e72-4fe5-4e43-b2a2-000512664002)\n\n# **Problem**\n\nA company’s most valuable data set is often its least accessible. Only 20% of corporate data lives in SQL, with the remaining 80% locked away in unstructured formats (reviews, chat logs, transcripts, pdfs). It takes some serious engineering work to answer questions like:\n\n* “Graph the most common user complaints over the last 4 years”\n* “What percentage of users complain about pricing on sales calls”\n* “How many users are getting their questions answered by our chatbot”\n\n**And this problem will only get worse as AI interfaces become more ubiquitous and more user data is locked up in chat logs. 🤖**\n\n.\n\n# **How are people solving this today?**\n\nEven YC founders don’t have a unified strategy here. From the hundreds of companies we’ve interviewed, it usually boils down to:\n\n**🌎 Outsourced data entry** - Slow and _surprisingly inaccurate_\n\n🔎 **Spot checking** - Slow and very prone to bias (i.e. _read 10 user reviews and make sweeping business decisions)_\n\n💸 **Hire some ML engineers** - Best results, but it’s going to be slow and expensive\n\n.\n\n# **Solution**\n\nUse OmniAI to turn that unstructured data into tabular data. OmniAI makes it simple to transform and enhance unstructured data, all within your existing data warehouse.\n\n* No engineering time needed\n* No calibrating models\n* And certainly no fighting with AWS SageMaker.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78643&key=user_uploads/457262/3650ce0e-79d1-4405-9a63-8b0282947c88)\n\n# **How it works**\n\nRun ML models across your data. Categorize, extract, summarize, translate, and more.\n\n* **Connect to a data warehouse -** We support Snowflake, Postgres, MySQL, and MongoDB.\n* **Choose models to run -** Define type safe schemas to run against your unstructured data. Use any of the hosted models, or define your own.\n* **Transform your data -** We’ll run those models against your data, and keep your warehouse in sync as new rows/fields are added/deleted.\n* **Query with SQL -** All the transformed data stays in your warehouse. Surface this data in your product, or analyze with your existing BI tools.\n\n![uploaded image](/media/?type=post&id=78643&key=user_uploads/457262/b2be4691-e98e-44cb-a76e-103b59d51b1e)\n\n# **Meet Tyler & Anna**\n\n[Anna](https://www.linkedin.com/in/annapoj/) comes from building ETLs and data enrichment tools at [**Hightouch**](https://bookface.ycombinator.com/company/12821). While [Tyler](https://linkedin.com/in/tyler-maran) has a background in ML and healthcare applications (most recently at [**Fair Square**](https://bookface.ycombinator.com/company/13215)). We’ve dealt with everything from syncing CRMs to fax machine APIs.\n\nWe’re building Omni because we hate working with messy data, and we can make this problem a little better for everyone.\n\n![uploaded image](/media/?type=post&id=78643&key=user_uploads/457262/25bd169d-bbe0-4c42-ac0b-fbfe55589067)\n\n# **Our ask**\n\n* **Data problems!** We’re constantly adding new tools and would love to hear about the unique data problems you face.\n* **Book a demo** with us at [getomni.ai](https://getomni.ai/)\n* **Tell people about Omni!** Know anyone drowning in a sea of PDFs, or trying to build image classification from scratch? Chances are we can help!\n\nEmail us at [**founders@getomni.ai**](mailto:founders@getomni.ai)",
        "url": "https://www.ycombinator.com/launches/KSR-omniai-structure-your-unstructured-data",
        "votes": 184,
        "created_at": "2024-02-22T16:14:42.416Z"
      }
    ]
  },
  {
    "id": 29327,
    "name": "Central",
    "slug": "central",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fd82ba2859916808ff0e5edd50e4947e539c317.png",
    "website": "https://centralhq.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Central kills back-office work for startups. While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more. That's 10+ hours back every month. \r\n\r\nThousands of founders trust Central. Learn more and start for free at centralhq.com",
    "one_liner": "Payroll, benefits, state compliance & other bullsh*t for startups",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1716561030,
    "tags": [
      "Fintech",
      "B2B",
      "HR Tech",
      "Payroll",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Human Resources"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/central",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/central.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/centralhq/",
    "x_url": "https://x.com/CentralHQX",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fd82ba2859916808ff0e5edd50e4947e539c317.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 56283,
        "full_name": "Josh Wymer",
        "title": "Founder/CTO",
        "founder_bio": "Josh is the CEO at Central. He was the 12th employee at Mixpanel, ran product engineering, and helped scale it to $1b+ valuation. He's also worked as a software engineer at Meta and played baseball at Virginia Tech.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/joshwymer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb3e9cefbfbc528ba1011f61bc10ff45d985ed7b.jpg"
      },
      {
        "user_id": 1138688,
        "full_name": "Pranav Kashyap",
        "title": "Founder/COO",
        "founder_bio": "Pranav is the COO at Central, helping other companies automate back-office work. He previously built payment and tax products for millions of users at Stripe, rebuilt Mixpanel's self-serve and messaging products and spent a number of years working with technology companies at McKinsey and Sequoia Capital. He holds a bachelor's degree in Computer Science from IIT Bombay and an MBA from Wharton. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pranav-kashyap",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a75b764e2716fd5f153f2c101267b77c0e0d459.jpg"
      },
      {
        "user_id": 206328,
        "full_name": "Nilay Modi",
        "title": "Founder",
        "founder_bio": "Product & design",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/thenilaymodi",
        "x_url": "https://twitter.com/nilaymod",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/617b53a187d9dc0a6cfef02a8a19fc213baed841.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Central raises $8.6M from First Round Capital & YC",
        "url": "https://centralhq.com/first",
        "date": "Oct 16, 2025"
      }
    ],
    "launches": [
      {
        "id": 93937,
        "title": "Central – Accounting, Taxes & R&D Tax Credits + Payroll, Benefits & State Compliance",
        "tagline": "Your entire back-office in one platform. ",
        "body": "\\~70% of every company’s expenses are related to people.\n\nBut today’s HR/payroll and accounting systems are separate. This leads to lost context, and founders end up with more work by having to answer the same questions repeatedly.\n\n**Central now solves this by consolidating your entire back-office:** accounting, taxes, R&D tax credits plus payroll, benefits, and state compliance.\n\n200+ YC companies have already made the switch to using Central for everything, including Wordware, Bitesight, Offstream, 1849 Bio and Undermind.\n\n**Learn more and get started for free at [centralhq.com](http://centralhq.com)**\n\n![uploaded image](/media/?type=post&id=93937&key=user_uploads/206328/caf3dadd-ad64-468b-9f5a-1cb92df3ec60)\n\n---\n\n—\n\n# **Why Central for accounting, taxes & R&D credits:**\n\n1. **One platform for your entire back-office**\n   * Onboard once and never answer the same question again across vendors\n   * Accurate closed books every month\n   * Federal, state, and local franchise tax filings\n   * Unlimited 1099s for all contractors\n   * Complete R&D study & instant redemption to payroll\n   * Includes Central payroll, benefits, and state compliance\n2. **Talk to your financials in Slack**\n   * Query your burn, runway, revenue, etc.\n   * Find docs like P&L, balance sheet, etc\n   * Get answers to common financial questions\n3. **Bookkeeping built for fundraising**\n   * Better categorization with more company context\n   * Proper revenue recognition & asset depreciation\n   * Financial summary every month to share with investors\n   * Get custom diligence docs & reports fast\n4. **Dedicated startup CPA in Slack**\n   * One point of contact who understands your business\n   * Message them anytime in Slack\n   * Catch mistakes before they happen.\n5. **White-glove migration / set up in 15 mins**\n   * Run on QuickBooks or Puzzle (you own your account)\n   * Just add us as an admin\n   * Historical review and clean up\n\n![uploaded image](/media/?type=post&id=93937&key=user_uploads/206328/126c04e8-f424-4519-84f7-fe3a3ffd8c76)\n\n—\n\n# **Comes with payroll, health insurance and state compliance:**\n\nMore info here - [centralhq.com](http://centralhq.com)\n\n1. **Payroll**\n   * Pay US employees\n   * Pay global contractors in 200+ countries\n   * Unlimited pay runs, one-off payments, reimbursements, etc.\n2. **Compliance in 50 US states**\n   * State foreign qualifications and registered agent (required to do business)\n   * State payroll registrations (required to run payroll)\n   * Workers' compensation insurance (required when you have 1 employee)\n   * Government mail handling and past fine resolution\n3. **Benefits**\n   * Access to a licensed health insurance broker\n   * Medical, dental, vision, life, disability insurance\n   * Guidance to pick the right plans & save money\n   * 401(k)\n4. **HR & team management**\n   * Offer letters, CIIAA, and other docs\n   * I-9 employment verification\n   * Onboarding, off-boarding, severance, etc\n5. **Central AI Agent in Slack**\n   * Find and edit anything like salaries or addresses\n   * Start workflows like hiring or firing\n   * Retrieve docs like paystubs or certificate of incorporation\n6. **24/7 human support & experts (Slack & email)**\n7. **White-glove migration & setup (takes 15 mins)**\n\n![uploaded image](/media/?type=post&id=93937&key=user_uploads/206328/23007f01-fa46-4733-b62f-e40644eb38cf)\n\n—\n\n# **Get started for free - [centralhq.com](http://centralhq.com)**\n\n* **First 50 companies (limited offer)** - Free payroll, benefits, state compliance (free period based on team size, needs and batch). Add-on accounting, taxes & R&D credits ([see pricing](https://centralhq.com/pricing))\n* **YC F25 -** Everything above + free accounting (ends when you raise post-YC or after 6 months)\n* One quick call to see demo & setup everything. Migrating? We do all the work.\n* No annual contracts. Cancel anytime.",
        "url": "https://www.ycombinator.com/launches/OR7-central-accounting-taxes-r-d-tax-credits-payroll-benefits-state-compliance",
        "votes": 26,
        "created_at": "2025-09-18T19:49:49.798Z"
      },
      {
        "id": 81853,
        "title": "Central: Payroll + benefits for startups. Save weeks of work & fines.",
        "tagline": "The first back-office platform that automates all the painful compliance work.",
        "body": "# **📝 TL;DR:**\n\n* [Central](https://www.centralhq.com/?utm_source=launchyc) is the first payroll & benefits platform for startups that automates all the painful compliance work – saving you weeks of work and fines.\n* **Start for free -** [**www.centralhq.com**](https://www.centralhq.com/?utm_source=launchyc)\n  * _10 mins to setup + we’ll do all the migration work._\n\n# ——\n\nFounders are drowning in back-office work. Even with the current recommended platforms, payroll, benefits, compliance was a never-ending pain in the…\n\nWhy do founders still need to understand all this?\n\nWhy do founders still have to register in multiple states to run payroll, set up worker’s compensation, pay random payroll related taxes, deal with scary government mail, update addresses across state filings, troubleshoot with insurance companies?\n\nA tragedy…\n\n![uploaded image](/media/?type=post&id=81853&key=user_uploads/206328/d5e37454-5cab-44bb-8571-603fab041299)\n\n# ——\n\n# **👋 HELLO CENTRAL: Save weeks of work & avoid fines.**\n\nCentral is the first payroll, benefits & ops platform designed for busy founders, not HR/finance professionals.\n\nUnlike other platforms, Central handles each compliance task from start to finish. You don’t need to learn or do anything. You just keep building because that’s what truly matters.\n\n![uploaded image](/media/?type=post&id=81853&key=user_uploads/206328/953f0471-3542-449f-adf7-4b7770223603)\n\nSo, here’s everything you get:\n\n**Payroll & compliance**\n\n1. **Hire and pay anyone globally:** Central supports founders & employees in all 50 U.S. states and contractors in 200+ countries. We’ll handle reimbursements, offer letters, NDAs, I-9 verification, and more.\n2. **Automated payroll state registrations:** Existing platforms make founders interface with state agencies, leading to errors & fines. Central automates this entire process resulting in accurate tax IDs and withholding rates.\n3. **Automated payroll tax filings:** Existing platforms cover some taxes, and leave founders to handle the rest, leading to mistakes and fines. Central pays all taxes and verifies payments with federal, state, and local agencies.\n4. **Automated worker’s comp:** When you hire your first employee in a state, you need state-specific worker’s compensation insurance. Existing platforms make you go to other platforms to get a policy, leading to missed coverage and fines. Instead, Central sets it up and ensures payment automatically.\n5. **Government mail monitoring**: Founders often miss important government mail due to address changes. To combat this, Central adds a virtual mailing address to all of your state filings. This virtual address stays the same when you move, so Central can notify you about government mail and take the appropriate action.\n\n**Business compliance & insurance**\n\n1. **Foreign qualifications & city registrations:** Central handles the necessary business filings & the registered agent in your HQ city/state and other states when required.\n2. **Continuous BOI reporting to FinCEN:** The Corporate Transparency Act requires companies to submit beneficial ownership information (BOI) reports to FinCEN. Central files this for you and keeps it updated as officers and their information change.\n3. **Business insurance:** Central can set up insurance for general liability, directors and officers, cyber, errors and omissions, and more.\n\n**Benefits**\n\n1. **Medical, dental & vision insurance:** Central offers plans from top carriers for small groups and individuals. We automate setup and payments, making it easy for you. Pranav (co-founder at Central) is a licensed broker and expert and can guide you to avoid common mistakes.\n2. **Life insurance:** Integrated with payroll for pre-tax deductions.\n3. **401k:** Central partners with Guideline to provide easy payroll integration and pre-tax deductions.\n\nAnd, support via a shared Slack channel, phone & email.\n\n# ——\n\n## **🏎️ GET STUFF DONE INSTANTLY VIA SLACK**\n\nExisting platforms are a maze. You need to dig through 7 layers of UI with a shovel to get anything done.\n\nWith Central, you simply ask our bot, and it handles it for you (with your confirmation).\n\nIt’s like your company’s first head of HR/finance.\n\nOur customers love the ease of:\n\n* **Retrieving company info & docs:** Get company EIN, certificate of incorporation, W-9, etc.\n* **Updating employee info:** Adjust salaries, start dates, titles, etc.\n* **Accessing personal docs:** Find offer letters, paystubs, health insurance cards, W-2s etc.\n* **Tracking offers & payroll:** See when employees sign, onboard, and get paid.\n* **Understanding their paystubs:** Break down taxes, pay dates, and more.\n\n# ——\n\n# **🎁 START FOR FREE -** [www.centralhq.com](https://www.centralhq.com/?utm_source=launchyc)\n\n_10 mins to setup + we’ll do all the migration work_\n\n![uploaded image](/media/?type=post&id=81853&key=user_uploads/206328/66b08b5c-d351-471e-8ddf-f16a0403be18)\n\n",
        "url": "https://www.ycombinator.com/launches/LID-central-payroll-benefits-for-startups-save-weeks-of-work-fines",
        "votes": 135,
        "created_at": "2024-07-01T19:57:33.995Z"
      }
    ]
  },
  {
    "id": 29328,
    "name": "Guide Labs",
    "slug": "guide-labs",
    "former_names": [
      "Guide Labs Inc"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fe96eb46b8e36c878f7362b2ef9b57395fe8a11.png",
    "website": "https://www.guidelabs.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Guide Labs builds frontier AI models and agents that you can learn from, audit, and steer. \r\nOur first model, Steerling-8B, is the first and largest inherently interpretable model: it can trace any output to training data, concepts inside the model, and the input, all without sacrificing performance.",
    "one_liner": "Frontier models and agents you can learn from, audit, and steer.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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      "name": "Nicolas Dessaigne",
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      {
        "user_id": 79482,
        "full_name": "Julius Adebayo",
        "title": "Founder/CEO",
        "founder_bio": "I am a machine learning researcher working on interpretable AI systems.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/juliusadebayo",
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        "title": "Guide Labs debuts a new kind of interpretable LLM | TechCrunch",
        "url": "https://techcrunch.com/2026/02/23/guide-labs-debuts-a-new-kind-of-interpretable-llm/",
        "date": "Feb 23, 2026"
      },
      {
        "title": "Guide Labs Open Sources an Interpretable 8B Language Model - The Silicon Valley Post",
        "url": "https://svpost.com/articles/guide-labs-steerling-8b-launch/",
        "date": "Feb 23, 2026"
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    "launches": [
      {
        "id": 79741,
        "title": "Guide Labs: Interpretable foundation models",
        "tagline": "Foundation models that can explain their reasoning, and are easy to align",
        "body": "At [Guide Labs](https://www.guidelabs.ai/), we build interpretable foundation models that can reliably explain their reasoning and are easy to align.\n\n### **The Problem: foundation models are black-boxes and difficult to align**\n\nCurrent transformer-based large language models (LLMs) and diffusion generative models are largely inscrutable and do not provide reliable explanations for their output. In medicine, lending, and drug discovery, it is not enough to only provide an answer; domain experts would also like to know **_why_** the model arrived at its output.\n\n* **Current foundation models don’t explain their outputs**. Would you trust a black-box model to propose medications for your illness or decide whether you should get a job interview?\n* **You can't debug a system you don't understand**: When you call a model API and the response is incorrect, what do you do? Change the prompt? What part of your prompt should you change? Switch to a new model API?\n* **Difficult to reliably align or control model outputs**: Even when you've identified the cause of the problem. How do you control the model so that it no longer makes the mistake you identified?\n\n### **Our Solution**\n\n**We’ve developed interpretable foundation models that can explain their reasoning, and are easy to align.**\n\nThese models:\n\n* provide human-understandable explanations;\n* indicate what part of the prompt is important; and,\n* specify which tokens led to the model's output.\n\nUsing all these explanations, we can:\n\n* identify the part of the prompt that causes the model to err;\n* isolate the samples that cause those errors; and,\n* use explanations to control and align the model to fix its errors.\n\n### **About Us**\n\nWe are  interpretability researchers and engineers that have been responsible for major advances in the field. We have set out to rethink the way machine learning models, AI agents, and systems broadly are developed.\n\n### **Our Ask**\n\nPlease reach out to us at [info@guidelabs.ai](mailto:info@guidelabs.ai).",
        "url": "https://www.ycombinator.com/launches/Kk9-guide-labs-interpretable-foundation-models",
        "votes": 68,
        "created_at": "2024-03-27T14:56:29.406Z"
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    "id": 29330,
    "name": "Speck",
    "slug": "speck",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/92df358869feb4920733e3073e8f52fec0afe8e8.png",
    "website": "https://speck.sh",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Speck helps professionals in back-to-back calls on their meeting tasks. It automates pre-call research, listens to every word, learns, and creates meeting notes, follow-ups, action items based on how you do them. ",
    "one_liner": "AI Notetaker that automates all your admin work",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1705004448,
    "tags": [
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      "Sales",
      "Sales Enablement",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Acquired",
    "industries": [
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      "Productivity"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/speck",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/speck.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/speck",
    "x_url": "https://x.com/speck_ai",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 894719,
        "full_name": "Raghav Pillai",
        "title": "Founder/CTO",
        "founder_bio": "Previously engineering @ Anduril and Amazon. Built out telemetry, realtime video and software orchestration for Anduril, and worked on consumer robotics at Amazon. Worked on software for autonomous vehicle research. Hackathon addict, 11x winner (HackHarvard, HackRice, xAI, etc). \n\nhttps://raghav.sh/\nhttps://github.com/raghavpillai",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/raghav-pillai",
        "x_url": "https://x.com/rag_pil",
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    "launches": [
      {
        "id": 79389,
        "title": "🧩 Speck - AI-powered web automation",
        "tagline": "Automate repetitive web tasks like data extraction, outbound, and other chores with Speck’s AI browser extension.",
        "body": "**tl;dr:** [Speck](https://tryspeck.com) is a browser extension that makes automating repetitive web tasks easy. Our customers use Speck to extract data, perform LinkedIn outreach, collect the newest research papers, gather data about social media groups, and more!\n\nHey everyone! We’re Lucas and Raghav, the founding team behind Speck.\n\n## 🤔 The Problem\n\nPeople spend precious time doing menial and repetitive browser-based tasks, such as entering data into CRMs, posting multiple job listings for recruiting, reaching out to contacts on LinkedIn, extracting data from websites, and other similar chores.\n\nThese tasks are irritating for most knowledge workers, yet they do not have any way to simplify their workflow. Low-code solutions like UiPath cost tens of thousands of dollars and require a dedicated automations team. On the other hand, executing web-based workflows is outside of the scope of workflow tools like Zapier. \n\n## 💡 The Solution\n\nWith Speck, you can automate any workflow easily **without having any coding knowledge**. Our browser extension allows you to **record workflows just by doing them**. Speck automatically translates your workflows into repeatable steps, making it simple for anyone to create web-based automations and data extraction processes\n\nBy keeping track of intent, the **browser automations will repair themselves automatically** when something goes wrong! These workflows can be executed live or scheduled asynchronously on a remote browser. Now, our users can spend less time doing menial chores and more time focusing on higher-impact tasks. \n\nSince pivoting 2 weeks ago and launching our beta, we’ve gotten our extension published on the Chrome Web Store and onboarded our first paying customers.\n\nMaking an automation takes less than 60 seconds.\n\n**Step 1** - Record your workflow\n\n![uploaded image](/media/?type=post&id=79389&key=user_uploads/1500358/94fd9ad1-319a-4bc7-a0a7-6bb294fa7e60)\n\n**Step 2** - Extract Text\n\n![uploaded image](/media/?type=post&id=79389&key=user_uploads/1500358/47e0ad7b-7e38-4df6-9be1-7ae58a6fbf85)\n\n**Step 3** - Run\n\n![uploaded image](/media/?type=post&id=79389&key=user_uploads/1500358/1560a1cc-c750-4884-bc8f-07d9391ea920)\n\nAnd this is just the start! Together with our users, we’re making progress towards our vision of an autonomous LLM agent capable of generating complex automations - one workflow at a time.\n\n## 🏆 The Team\n\nWe’re both CS from UT Dallas. We met at a hackathon 2 years ago and have been friends since. We both come from top tech companies and came up with the idea for Speck after we grew tired of doing the same actions over and over again on websites. From left to right:\n\n![uploaded image](/media/?type=post&id=79389&key=user_uploads/1500358/29d31103-7b62-45d9-88da-53a98b3a3fde)\n\n[Raghav](https://www.linkedin.com/in/raghav-pillai/) (CTO) - Ex-Anduril and Ex-Amazon engineer. At Anduril, he created LLM tooling and device monitoring, used by 140 employees. He was an early engineer on Amazon’s Consumer Robotics division, working on Amazon Astro. He worked in AV research building a modular FSD stack. He also loves going to hackathons and won 7, including HackHarvard and HackRice, with LLM agents.\n\n[Lucas](https://www.linkedin.com/in/lucasjagg/) (CEO) - Ex-Roblox engineer where he built multilingual autocomplete for 160 million users. He was a founding engineer of [Sweep](https://www.ycombinator.com/companies/sweep), an autonomous LLM coding agent with 7k stars. Computer vision researcher for the BRIAR government project. He graduated Summa Cum Laude with a double major in computer science and cognitive science.",
        "url": "https://www.ycombinator.com/launches/KeT-speck-ai-powered-web-automation",
        "votes": 157,
        "created_at": "2024-03-14T13:54:34.463Z"
      }
    ]
  },
  {
    "id": 29332,
    "name": "Polished",
    "slug": "polished",
    "former_names": [
      "Double",
      "Pillar"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6b130da6813f93f556cf04be9132b6ba506b4fc.png",
    "website": "https://polished.ad",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "With Polished, you create finished ads (video or static) in minutes.\r\nThen you refine it in plain English, until it's exactly what you had in mind.",
    "one_liner": "Generate ads. Iterate till perfect.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1701750687,
    "tags": [
      "Developer Tools",
      "SaaS",
      "B2B",
      "Advertising",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/polished",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/polished.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "x_url": "https://x.com/polishedads",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1289064,
        "full_name": "JJ Maxwell",
        "title": "Founder",
        "founder_bio": "Building Polished. \n\nFormer CEO @ Double Finance, CTO of Liftoff Influence, co-founder of Jetfuel (acquired by Liftoff 2021), Facebook Messenger",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jj-maxwell-753b5026",
        "x_url": "https://x.com/jjmaxwell4",
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      },
      {
        "user_id": 376672,
        "full_name": "Mark Wai",
        "title": "Founder",
        "founder_bio": "Building Polished\n\nPreviously Growth @ Tesla, Facebook",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/markwai",
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    "jobs": [],
    "news": [
      {
        "title": "Direct indexing platform Double Finance raises $3.9M seed",
        "url": "https://www.axios.com/pro/fintech-deals/2024/12/10/direct-indexing-platform-double-finance-raises-seed",
        "date": "Dec 10, 2024"
      }
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    "launches": [
      {
        "id": 97986,
        "title": "Pillar - Your app's copilot",
        "tagline": "An open source copilot that turns user requests into completed actions, right inside your app.",
        "body": "Hey everyone! We’re JJ and Mark, cofounders of [Pillar](https://trypillar.com) 👋\n\n**TL;DR: Pillar is an embedded AI copilot that executes tasks inside your product for users and agents.**\n\nUsers or agents can type what they want. The copilot carries it out **client-side in the browser**, using the user’s existing session, permissions, and security checks. You install the SDK via npm and register your existing frontend code as tools.\n\nExample: in a banking app, a user types _“send $200 to my cleaners.”_ Pillar finds the right recipient, navigates to the transfer flow, and pre-fills the form. The user still reviews and confirms. If your app requires 2FA for that acion, so does the copilot.\n\nDemo: <https://www.youtube.com/watch?v=ruNJ5OFuKsI>\n\n# The Problem\n\nTeams ship faster than ever. But when your changelog is 10x longer than it used to be, users can’t keep up.\n\n* **Discoverability breaks down:** the UI changes, features move, and people forget where things live.\n* **Friction turns into “support”:** users open tickets that aren’t really support tickets. The user wanted to do something your product already supported but couldn’t get there.\n* **Most products don’t have an “action layer”:** AI agents are starting to use web apps the same way users do: navigate, click, fill forms. Products need to prepare for this\n\n**Bottom line:** products need a reliable, permissioned way to execute actions end-to-end - not just document them.\n\n# How Pillar Works\n\nPillar turns a user request into action by combining planning with **in-browser execution**.\n\n1. **Plan:** Pillar determines which steps/tools to run\n2. **Execute:** your app runs those tools in the browser (navigation, API calls, state updates, form fills)\n3. **Confirm:** the user stays in control for sensitive actions.\n\nYou register tools inside your existing React components:\n\n![uploaded image](/media/?type=post&id=97986&key=user_uploads/376672/a918639c-e2a9-405b-9e4d-2f54acac8af0)\n\nWhat happens at runtime when a user types _“send $200 to my cleaners”_:\n\n* Pillar calls **search_recipients** with “cleaners”\n* Selects the right match\n* Calls **prefill_transfer** with the recipient + amount\n* User reviews and confirms in the existing flow\n\nBecause execution happens in the browser, tools run with the current user’s permissions and session. **Pillar can’t do anything the user can’t do.**\n\nPillar syncs with your help content (Zendesk, Intercom, Notion, Confluence, internal docs) so requests map to the right tools/flows. When it picks the wrong path, you flag it and the correction is captured so the same issue is less likely to repeat.\n\nSDKs are available for React and vanilla JavaScript. Registered tools can also be reused by other copilots/agents via WebMCP (navigator.modelContext).\n\n# Try It\n\nInstall: [trypillar.com](http://trypillar.com)\n\nWe also have live demos you can try right now - Pillar installed on open-source products:\n\n* Grafana ([trypillar.com/demos/grafana](https://trypillar.com/demos/grafana)): you can have Pillar build you a monitoring dashboard and set up alerts\n* Apache Superset ([trypillar.com/demos/superset](https://trypillar.com/demos/superset)): you can explore the names dataset and build a dashboard\n\n👉 Want help getting live? Reach out at [founders@trypillar.com](https://mailto:founders@trypillar.com)\n\n# Our Ask\n\n* If you lead product/engineering and users open tickets for things your product already does, we’d love to talk: [founders@trypillar.com](mailto:founders@trypillar.com)\n* If you know someone who fits that (founders, VP Product, Head of Support), intros are appreciated\n* Share this post. Follow us on LinkedIn and X.\n\n# Backstory\n\nWe built Pillar to solve our own problem. At our last company (Double Finance), we saw a pattern: users asked for outcomes we already supported, but still opened support tickets. We wanted a way to reuse the frontend code we’d already shipped, without rebuilding flows or adding new “automation” surfaces.\n\n_Pillar is what we wish we had._\n\n![uploaded image](/media/?type=post&id=97986&key=user_uploads/376672/597895ee-5fab-49bb-b55e-cabb1f3f6ff2)\n\n",
        "url": "https://www.ycombinator.com/launches/PUQ-pillar-your-app-s-copilot",
        "votes": 11,
        "created_at": "2026-02-19T20:32:35.986Z"
      },
      {
        "id": 82801,
        "title": "Double - Design your own stock index",
        "tagline": "Double automates your investments with zero AUM fees.",
        "body": "![uploaded image](/media/?type=post&id=82801&key=user_uploads/1289064/c2a6166e-82a3-419a-9800-0648a58901ea)\n\n**TL; DR** — Design and invest in your own stock index that’s advised, managed, and tax-optimized by [Double](https://double.finance/).\n\nHistorically, access to sophisticated finance tools like direct indexing and tax loss harvesting has come at a steep cost and only through exclusive financial advisors. We are on a mission to revolutionize investing by providing world-class portfolio tools to everyday investors without any AUM fees. \n\n# Key Features\n\n* **Direct Index into 20+ ETFs:** Build an elite portfolio with the ability to tilt towards specific sectors, industries, themes, or even custom groupings like all YC publicly listed companies.\n* **Daily Tax Optimization, Rebalancing & Potential Tax Loss Harvesting**: Our optimization engine keeps your portfolio on track by factoring in drift, taxes and transaction costs. If your account qualifies, our tax-loss harvesting service aims to help you minimize your tax liability and maximize your after-tax returns.\n* **Dollar-cost averaging:** We allow users to move between positions at a set cadence, regardless of the market's performance, helping you reduce timing risks associated with active trading.\n\n# Example Use Cases\n\nWork for AAPL and want to diversify away from tech?\n\n* Buy a direct-indexed [S&P 500 Portfolio](https://app.double.finance/public/explore/3), remove AAPL entirely, and cut the rest of your tech exposure in half.\n\nDid you know AI was going to be a big deal before everyone else?\n\n* Double makes it easy to tilt your portfolio towards your hunches. Pick a handful of stocks set to benefit from the Inflation Reduction Act, or some that target the booming AI and semiconductor industry, or shift your portfolio towards the explosive meme growth of Zyn.\n\nFeeling confident in the overall market and ready to pile on the risk?\n\n* Follow [Hedgefundie’s Adventure](https://app.double.finance/explore/110), which uses 3x leverage in a Stock and Bond ETF to try and increase returns. Or pick from our smart screens that target top growing companies or even a basket of the [YC Public Companies](https://app.double.finance/public/explore/140).\n\nThink we’re headed for a recession and want to take some chips off the table? \n\n* You can invest in a version of [Ray Dalio’s All Weather Portfolio](https://app.double.finance/public/explore/108) comprising 5 ETFs or [John Bogles Majesty of Simplicity](https://app.double.finance/public/explore/105) and migrate between these Strategies and Bonds over time.\n\nBuild and backtest your own stock index!\n\n* Use our Stock and ETF Screeners to build your very own personalized portfolio.\n\n#### Fees\n\nDouble doesn’t charge AUM fees. Financial Advisors often charge around 1% a year for tools like Direct Indexing and Dollar Cost Averaging. In a sample $1M portfolio, these fees lead to a dollar cost of $1,800,000 or a 24.5% overall reduction in performance over 30 years, assuming 6% growth vs. 7% growth. We aim to eventually make money like the commission-free trading pioneers. Our custodian Apex Clearing charges some fees which we pass on to users which you can see [here](https://help.double.finance/en/articles/9450171-service-provider-fees). \n\n#### Additional Features\n\n* Backtest a custom stock grouping to see its historic performance.\n* Cash sweep available: Earn 4.5% interest on your uninvested cash (as of August 5th, 2024, not a guarantee of future rates)\n* Fractional investing: Invest in over 3,000 US stocks and 1,400 ETFs for as little as $5 per share.\n* Support for Personal, Joint, and Trust Accounts\n* Daily portfolio optimization and trade execution\n* Recurring or one-time deposits via ACH or Wire\n* ACAT Transfer in an existing brokerage account\n\n#### Get Started Today\n\nWe’re live at <https://double.finance>. Sign up for a Double account today and start building your own stock index. Please reach out to [founders@double.finance](mailto:founders@double.finance) with any feedback or questions!\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctLsEGUWaE1ScP7EqAuz0sPPYQDg7Vt1Zlpn5Cx-sfubv0nJvIZertGsNS0zPWoWzzJSw-orkpmSTzIFepxiDziCKdJN6sMXMAS1GSYwcTfiyY3ZqlIA_db-gZX4rHTji2-dZPfMWgdz-qmvb7whdOackQ?key=nGDLEdHNSqYCi809_9DeNQ)\n\n",
        "url": "https://www.ycombinator.com/launches/LXV-double-design-your-own-stock-index",
        "votes": 58,
        "created_at": "2024-08-07T00:27:48.572Z"
      }
    ]
  },
  {
    "id": 29333,
    "name": "LemonSlice",
    "slug": "lemonslice",
    "former_names": [
      "Infinity AI",
      "Lemon Slice"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05eb67ac8202d3dd3c90fdda089940b58b254645.png",
    "website": "https://www.lemonslice.com",
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        "title": "Decipher AI: Agentic QA for the era of coding agents",
        "tagline": "AI that generates and maintains your E2E tests. Ship fast, without the bugs.",
        "body": "# **TL;DR**\n\nDecipher offers an AI QA agent for the era of coding agents. Show it your product, and the QA agent generates E2E tests in minutes, maintains them, and catches bugs before customers do so you can keep shipping fast. We’ve already caught bugs for some of the fastest shipping companies and would love to help you!\n\n# **Product Overview**\n\n<https://www.youtube.com/watch?v=PAmx7HbnXc8>\n\n# **Who's Decipher AI for?**\n\n* Teams where AI coding agents have made development faster than ever, but QA hasn't kept up. You're shipping more code, but bugs are still slipping through to customers.\n* Large QA teams spending hours writing Playwright scripts, manually updating selectors, and chasing flaky tests. You want comprehensive test coverage without the overhead.\n* Teams without dedicated QA resources, who click through the product every morning hoping to catch issues. You need reliable coverage but don't have time to build it from scratch.\n\n# **What can I do with Decipher AI?**\n\n### **Generate reliable E2E tests in minutes**\n\nRecord your screen, describe a flow, or just ask. Because Decipher has learned your product, it can generate tests, update them, and create variants on demand. A QA agent at your fingertips.\n\n![uploaded image](/media/?type=post&id=97250&key=user_uploads/1073351/4e2df1fd-25e1-4b9f-95ad-20ec408ae027)\n\n### **Tests auto-update as your product changes**\n\nWhen your product or UI changes, the Decipher agent automatically updates your tests. Steps adapt automatically so tests stay reliable and meaningful without manual work.\n\n![uploaded image](/media/?type=post&id=97250&key=user_uploads/1073351/a942e76c-df6b-4630-be1a-1457f1d42760)\n\n### **Get alerted when users hit bugs in production**\n\nSome bugs only happen in the real world. Decipher uses vision AI to watch your customer sessions, and when a user hits a bug, flags it with the session replay, console/network context, and customer impact. \n\n![uploaded image](/media/?type=post&id=97250&key=user_uploads/1073351/f83feabc-ae8f-4b72-8535-4c07407776ec)\n\n# **Meet The Founders**\n\nFounders [Rohan Das](https://www.linkedin.com/in/rohan-d/) and [Michael Rosenfield](https://www.linkedin.com/in/rosenfieldmichael/) bring deep expertise from Google, having led multi-billion-dollar, multi-billion-user products including the YouTube homepage and Pixel. They built Decipher AI so teams using coding agents have a validation layer that keeps up with how fast they're shipping.\n\n# **Our asks**\n\nDecipher is already catching bugs for some of the fastest shipping teams out there! If you're using coding agents to ship faster and need QA that keeps up, we'd love to help. Reach out to [founders@getdecipher.com](mailto:founders@getdecipher.com) or [book a demo here](https://getdecipher.com).",
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        "title": "Decipher: AI that discovers issues and opportunities in your product",
        "tagline": "Decipher’s AI agents watch all your user sessions – helping you identify and act on product issues and insights.",
        "body": "Hey YC! Michael and Rohan here!\n\n**TL;DR:** Decipher offers real‑time agents that use vision language models to watch every customer sessions to detect, diagnose, and even help ship the fix for anything that blocks user happiness—from silent drop‑offs to full‑blown errors.\n\nSign Up For Free » [getdecipher.com](http://getdecipher.com)\n\nBook A Call » [cal.com/decipher/discovery](http://cal.com/decipher/discovery)\\\n[Video overview](https://www.youtube.com/watch?v=f9LIZie4ogY)\n\n---\n\n## **Why we built Decipher**\n\nShipping speed is up, but visibility into _real_ user experience hasn’t kept pace. Teams still burn days—and sometimes miss problems entirely:\n\n* Users hitting confusing UI and running into bugs in core workflows\n* Figuring out what exactly people are doing that lead to app errors and how many people are affected\n* Scrubbing thousands of sessions to learn why an important new feature isn’t used\n\nThe root cause is signal overload—billions of events, little prioritization. We flipped that on its head: let AI watch the firehose, surface what truly matters to adoption, satisfaction and revenue, and automate the busywork after discovery.\n\n---\n\n## **How it works**\n\n* **Discover:** Real‑time monitoring catches hiccups, drop‑offs, errors—or any custom condition you set, no redeploy needed.\n* **Investigate:** Ask in plain English and get AI summaries, session clips, and console logs instantly.\n* **Act:** One‑click Linear ticket or PR draft with all the context so fixes land before metrics suffer.\n\nA feedback loop on every action continuously teaches the model, dialing down noise while accuracy climbs.\n\n> Decipher’s basically 1,000 QA interns watching every user session in real‑time and obsessing over improving the user experience. **In the first four weeks it surfaced over one hundred issues and UX improvements.** Now the team ships features instead of binge‑watching session replays.\n\n— Keith Fearon, Head of Product & Growth, 11x\n\n**Issue Explorer**\n\nBrowse the issues Decipher detects and filter by feature, account, impact, time range, and more. Export straight to Linear.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/0dadbdcb-7375-4565-8898-e6fd2c4e83ae)\n\n**Session Deep Research**\n\nAsk the Decipher agent any question about customers and get detailed responses citing real sessions.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/202e6275-5278-4465-8250-445a30580acb)\n\n**Issue Alerts**\n\nRoute alerts to your favorite tool, like Slack or email, with AI noise-reduction so teams never miss the signal.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/fe19231d-6d8c-44d9-8f33-338b21eb14e2)\n\n**Smart Funnels**\n\nGenerate funnels based on any user behavior and Decipher will analyze drop-offs to help you understand the root cause.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/99b7c7c8-7690-4249-ac84-81708c296902)\n\n## **Where it fits in your stack**\n\n* **Setup:** Drop‑in SDK or web snippet; optional connectors for PostHog, Sentry, Segment.\n* **Workflows:** Creates Linear tickets for you. Pings you on Slack and email. And one click copy context to Cursor.\n* **Platforms:** Web today; iOS & Android are on our roadmap.\n* **Security:** Data encrypted in transit & at rest and client‑side PII masking.\n\nIntegration is &lt; 5 minutes. First insights usually appear within the hour.\n\nCompanies of all sizes from small startups to unicorns already rely on Decipher to keep launches smooth and adoption climbing. Their teams ship faster, users stay delighted, and engineering effort goes back to roadmap features instead of reading logs and trying to repro issues.\n\nGet started today, no credit card required at [getdecipher.com](http://getdecipher.com) or schedule a call with our team: [cal.com/decipher/discovery](https://cal.com/decipher/discovery)\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/911f3dcb-c76f-4ef2-ab29-43e7a45790d4)\n\n",
        "url": "https://www.ycombinator.com/launches/O4O-decipher-ai-that-discovers-issues-and-opportunities-in-your-product",
        "votes": 23,
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        "title": "Decipher AI: An AI agent that watches thousands of session replays for you",
        "tagline": "AI that analyze your session replays with vision LMs to help you understand user behavior, detect bugs and discover insights",
        "body": "# **TL;DR**\n\nDecipher AI offers an AI agent that uses advanced vision LMs to watch thousands of hours of session replays for you so you can discover customer issues in realtime, understand feature usage, and get product questions answered. We’ve already analyzed millions of session replays and would love to help you!\n\n# **Product Demo**\n\n<https://www.youtube.com/watch?v=nc0wVezrmcU>\n\n# **Who’s Decipher AI for?**\n\n* Teams tired of sifting through Posthog, FullStory, or Hotjar recordings, hoping to stumble on key insights or looking for something specific. Decipher AI analyzes them all so you can focus on your job.\n* Teams that wish they had a high resolution and a bird’s-eye view of how users actually interact with their product—without manual tagging, proactive instrumentation, or complex data queries.\n* Teams tired of reactive firefighting. Get alerted the moment users start running into new issues or bugs so you can jump straight to shipping a fix.\n\n# **What can I do with Decipher AI?**\n\nDecipher AI empowers you to uncover how your customers engage with your product and gain insights into its behavior for each unique user.\n\n### Session Intelligence\n\nStop scrubbing through hours of video. Get succinct, AI-generated timelines of each session, highlighting the most important parts.\n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/e72fd09d-008b-4491-9d4d-e0003d90d7f3)\n\n### Behavior Discovery\n\nFind out how customers use specific features or workflows in seconds, uncover patterns you never knew existed, and jump straight to relevant moments in sessions.\n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/590d9aa7-f42d-4f67-97d7-2d7b348c3039)\n\n### Hands-free Product Analytics\n\nGet product analytics without any manual instrumentation or CSS definitions. \n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/f590e6f8-eaf9-40ac-a02a-dacb3feb67c7)\n\n### Issue Detection\n\nIdentify exactly when and where users hit bugs and issues. Prioritize new issues and know precisely if a deployed fix worked.\n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/25b0f561-b12c-4a97-a5ab-71508b62789b)\n\n### Simple, 5-Minute Setup\n\nJust copy and paste a single script. That’s it. No manual instrumentation, no labor-intensive tagging, and no complicated SQL queries.\n\n# **Meet The Founders**\n\nFounders [Rohan Das](https://www.linkedin.com/in/rohan-d/) and [Michael Rosenfield](https://www.linkedin.com/in/rosenfieldmichael/) bring deep expertise from Google, having led multi-billion-dollar, multi-billion-user products at Google including the YouTube homepage and Pixel. They created Decipher AI to make understanding user and product behavior effortless for everyone.\n\n# **Our asks**\n\nDecipher AI has already analyzed millions of session replays for companies of all sizes! If you’re interested in having our AI agent watch all of your session replays so you can understand customer behavior, find issues, and improve product please reach out to [founders@getdecipher.com](mailto:founders@getdecipher.com) or [book a demo here](https://cal.com/decipher/demo).",
        "url": "https://www.ycombinator.com/launches/MTo-decipher-ai-an-ai-agent-that-watches-thousands-of-session-replays-for-you",
        "votes": 40,
        "created_at": "2024-12-19T16:39:32.588Z"
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        "title": "The Startup Building An Operating System For Biotech AI",
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        "title": "Tamarind Bio: API for scalable bioinformatics",
        "tagline": "The simplest way for computational scientists to deploy and use bioinformatics tools!",
        "body": "**TL;DR**\n\nIn addition to our no-code web platform (<https://www.tamarind.bio/>), Tamarind Bio now offers an API for computational teams to use cutting-edge bioinformatics tools for drug discovery without setting up any computing infrastructure or scaling up GPUs. We provide protein structure prediction (e.g. AlphaFold), protein design(RFdiffusion), and molecular docking tools at large scale and easily integrated into your workflow. Additionally, we deploy your custom models for internal use, provide virtual screening services, and provide pipelines to feed the results of models as input to the next downstream tool. \n\n**The Problem**\n\nComputational biology thrives on doing in silico experiments at large scales. However, it’s tedious to allocate tens/hundreds of GPUs for compute-heavy machine learning tools, make sure they are running as intended, and analyze disparate results. Whether it’s AlphaFold for protein structure prediction, RFdiffusion for binder design or DiffDock for small molecule docking, deploying these tools scalably and connecting them to downstream pipelines steals time away from developing models and doing better science.\n\n**The Solution**\n\nTamarind is launching an API for state-of-the-art computational tools in protein design, structure prediction, and docking. Simply submit your job and check back to receive your result. Download these results, keep them in S3, or generate an analysis. \n\nTamarind now integrates seamlessly with existing computational workflows: we’ll work with you to deploy your custom models and pipelines or run on your existing cloud computing infrastructure. \n\n![uploaded image](/media/?type=post&id=78606&key=user_uploads/1224836/df4f5292-e7ca-44a4-af61-b051397dbb46)\n\nWe are [Deniz](https://linkedin.com/in/deniz-kavi) and [Sherry](https://linkedin.com/in/sherryliu987)! We met as undergrads at Stanford, where we studied Computer Science and conducted comp bio research, experiencing the inefficiencies of using bioinformatics tools firsthand. Today, 1000+ scientists from institutions including Stanford, Harvard, and Oxford regularly use Tamarind to accelerate their work, as well as many YC companies. \n\nLet us handle the DevOps, while you focus on your science!\n\n**Asks**\n\nTry Tamarind out! Use our web platform now or email us to learn more about using the API. Documentation: <https://www.tamarind.bio/api-docs>\n\n* Computational Scientists at small/medium biotech companies in Drug Discovery, Protein/Enzyme Engineering, and Virtual Screening | + adjacent fields like Antibody Discovery\n* Software engineers deploying bioinformatics models\n* Anyone who might benefit from easy-to-use bioinformatics or cheminformatics\n\n![uploaded image](/media/?type=post&id=78606&key=user_uploads/89898/2bf93fd2-1a56-4d34-ab0c-85c5680f6212)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/tamarind-bio/) to stay updated! Get in touch: [founders@tamarind.bio](mailto:founders@tamarind.bio)",
        "url": "https://www.ycombinator.com/launches/KRq-tamarind-bio-api-for-scalable-bioinformatics",
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        "title": "Tamarind Bio: No-code bioinformatics for scientists",
        "tagline": "The simplest way for life scientists to use computational tools!",
        "body": "### **TL;DR**\n\nWe allow scientists to use cutting edge computational tools for drug discovery without writing any code. We currently provide protein structure prediction (AlphaFold/ColabFold), molecular docking and protein design resources. And would be excited to learn more what computational tools might be useful for scientists.\n\nWe also provide the infrastructure to use these open-source tools at large scales, including efficiently producing large numbers of protein structures along with protein design pipelines.\n\nCheck out our tools here: [tamarind.bio/app](https://www.tamarind.bio/app)\n\n### The Problem\n\nWhether [AlphaFold](https://www.nature.com/articles/s41586-021-03819-2) for protein structure prediction, [RFdiffusion](https://www.nature.com/articles/s41586-023-06415-8) for binder design or [DiffDock](https://www.mlsb.io/papers_2022/DiffDock_Diffusion_Steps_Twists_and_Turns_for_Molecular_Docking.pdf) for small molecule docking; open source machine tools are massively useful for the life sciences. However, these tools remain inaccessible to the scientists who would benefit most from them, due to lack of technical expertise or in-house computational resources.\n\n### The Solution\n\nInstead of implementing tools yourself:\n\n![uploaded image](/media/?type=post&id=77001&key=user_uploads/1224836/2986e780-9df4-4581-bf7a-3f33686e2668)\n\nUse Tamarind:\n\n![uploaded image](/media/?type=post&id=77001&key=user_uploads/1224836/fe2a2ae7-93c9-47dd-9db9-6c800878a0f1)\n\n[Tamarind](https://www.tamarind.bio) is a website to use the state of the art computational tools in protein design, structure prediction and docking.\n\nWe met as undergrads at Stanford, where we studied Computer Science and conducted research, experiencing the inefficiencies of using bioinformatics tools firsthand. Today, hundreds of scientists from institutions including Stanford, Harvard and Oxford regularly use Tamarind to accelerate their work.\n\nNo more Linux terminals or outsourcing computational work, just focus on your science!\n\n### Asks\n\nTry [Tamarind](https://www.tamarind.bio) out!\n\nIf you have or know anyone with the following backgrounds, please get in touch at [founders@tamarind.bio](mailto:founders@tamarind.bio). We’re very excited to learn about your work.\n\n* Scientists in Drug Discovery - industry and academic\n* Computational biologists in Structural Biology\n* Anyone who might benefit from easy to use bioinformatics\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/tamarind-bio/) to stay updated!",
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    "name": "sync.",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "at sync. we're making video as fluid and editable as a word document\r\n\r\nhow much time would you save if you could *record every video in a single take?*\r\n\r\nno more re-recording yourself because you didn't like what you said, or how you said it.\r\n\r\njust shoot once, revise yourself to do exactly what you want, and post. that's all.\r\n\r\nthis is the future of video: *AI modified >> AI generated*\r\n\r\nwe're playing at the edge of science + fiction.\r\n\r\nour team is young, hungry, uniquely experienced, and advised by some of the greatest research minds + startup operators in the world. we're driven to solve impossible problems, impossibly fast.\r\n\r\nour founders are the original team behind the open sourced wav2lip — the most prolific lip-sync model to date w/ over 10k+ GitHub stars.\r\n\r\nwe \r\n[1] train state-of-the-art generative models, \r\n[2] productize + host them for scale\r\n[3] grow virally through content\r\n[4] upsell into enterprise",
    "one_liner": "AI lipsync tool for video content creators",
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    "app_video_public": true,
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        "answer": "lipsync video to audio in any language in one-shot"
      },
      {
        "question": "How long have each of you been working on this? How much of that has been full-time? Please explain.",
        "answer": "Prady + Pavan have been full-time on sync since June 2023\r\n\r\nRudrabha has been contributing greatly while finishing his PhD + joined full-time starting October 2023\r\n\r\nPrajwal is finishing up his PhD and is joining fulltime once he completes in May of 2024 – his supervisor is Professor Andrew Zisserman (190+ citations / foremost expert in the field we are playing in. His proximity helps us stay sota + learn from the bleeding edge."
      },
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        "answer": "we're building generative models to modify / synthesize humans in video + hosting production APIs to let anyone plug them into their own apps / platforms / services.\r\n\r\ntoday we're focused on visual dubbing – we built + launched an updated lip-synchronizing model to let anyone lip-sync a video to an audio in any language in near real-time for HD videos.\r\n\r\nas part of the AI translation stack we're used as a post processing step to sync the lips in a video to the new dubbed audio track – this lets everyone around the world experience content like it was made for them in their native language (no more bad / misaligned dubs).\r\n\r\nin the future we plan to build + host a suite of production ready models to modify + generate a full-human body digitally in video (ex. facial expressions, head + hand + eye movements, etc.) that can be used for anything from seamless localization of content (cross-language) to generative videos"
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "### **how did we meet?**Prajwal + Rudrabha worked together at IIIT-hyderabad — and became famous by [shipping the world’s first model](https://github.com/Rudrabha/Wav2Lip) that could sync the lips in a video to any audio in the wild in any language, no training required.They formed a company w/ Pavan and then worked w/ the university to monetize state-of-the-art research coming out of the labs and bring it to market.Prady met everyone online — first by hacking together a viral app around their open source models, then collaborating on product + research for fun, to cofounding sync. + going [**mega-viral.**](https://x.com/therealprady/status/1680645510103977987?s=20)Since then we’ve hacked irl across 4 different countries, across the US coasts, and moved into a hacker house in SF together."
      }
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/sync-2.json",
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/synclabs-ai/",
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        "full_name": "Prady Modukuru",
        "title": "Founder/CEO",
        "founder_bio": "ceo & cofounder at sync. labs | product engineer obsessed w/ networks of people + products.\n\nbefore startups, I helped incubate, launch, and scale AI-powered cybersecurity products at Microsoft impacting over 500M consumers + $1T worth of publicly traded companies – and became the youngest product leader in my org.",
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        "full_name": "Prajwal K R",
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        "full_name": "Rudrabha Mukhopadhyay",
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        "founder_bio": "I am the co-founder and CTO of Sync Labs. At Sync, We’re building audio-visual models to understand, modify, and synthesize humans in video. I am one of the primary authors of Wav2Lip, one of the most prolific lip syncing models in the world published in 2020. I have done my PhD at IIIT Hyderabad on Audio-visual deep learning and have been involved in several important projects in the community.\n\n\n",
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        "full_name": "Pavan Reddy",
        "title": "Founder",
        "founder_bio": "Driving Sales/Operations and Finance/ Strategic roadmap at sync. 2x venture backed entrepreneur. IIT Madras Alumnus. Worked with IIIT Hyderabad in productising research work as per market orientation. Key strength is connecting dots/ identifying patterns across different fields to unlock the value ",
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      {
        "id": 89150,
        "title": "[sync.] we built the most natural lipsync model in the world, again.",
        "tagline": "lipsync anyone in any video, no training required, available now via API.",
        "body": "# tldr;\n\n* lipsync-2 is the most advanced video-to-video lipsyncing model in the world\n* It’s zero-shot, so you don’t need to wait for an “actor”, “clone”, or “avatar” to train before using it.\n* Even so, it learns and generates a speaker’s unique style of speech\n* It works across live-action, animated, and AI-generated humans\n* Thousands of developers use it to build video translation, word-level editing of video, and character re-animation workflows today (including generating realistic AI UGC)\n* We’re launching our YC deal, **4mo’s of our scale plan for free plus $1000** **in credits** 🚀\n\n<https://www.youtube.com/watch?v=j5iJ2k05ltc>\n\n# What did we build?\n\nWe built lipsync-2, the first in a new generation of zero-shot lipsyncing models. It seamlessly edits any person's lip movements in a video to match any audio without having to train or be fine-tuned on that person.\n\nZero-shot lipsync models are versatile because they edit any arbitrary person and voice without having to train or fine-tune on every speaker. But traditionally they can lose traits unique to the person, like their speaking style, skin textures, teeth, etc.\n\nWith lipsync-2, we introduce a new capability in zero-shot lipsync: _style preservation_. We learn a representation of how a person _speaks_ by _watching_ how they speak in the input video. We train a spatiotemporal transformer that encodes the different mouth shapes in the input video into a style representation. A generative transformer synthesizes new mouth movements by conditioning on the new target speech and the learned style representation.\n\n# How can you use it?\n\nWe built a simple API that let’s you build workflows around our core lipsyncing models. You submit a video and an audio (or a script and voiceID to generate audio from), and get a response with the final output.\n\nWe see thousands of developers and businesses integrating our APIs to build generative video workflows into their products and services.\n\n# \\[1\\] Video translation\n\nNotice how even across different languages, we preserve the speaking style of Nicolas Cage. We are the first zero-shot lipsyncing model to achieve this.\n\n<https://youtu.be/GaCoHy99zT4>\n\nWe can even handle long videos with multiple speakers — we built a state-of-the-art active speaker detection pipeline that associates a unique voice with a unique face, and only applies lipsync when we detect that person is actively speaking.\n\n<https://www.youtube.com/watch?v=ZaXbiKdoBz8>\n\nIt also works across animated characters, from Pixar-level animations to AI generated characters.\n\n<https://www.youtube.com/watch?v=F_6lGFl6bcA>\n\nBut translation is only the beginning, with the power to edit dialogue in any video in post-production we’re on the cusp of reimagining how we create, edit, and consume videos forever.\n\n# \\[2\\] Record once and edit dialogue to use forever.\n\n<https://youtu.be/HJR4BbhZ8Uo>\n\nImagine a world where you only ever have to hit record once. lipsync-2 is the only model that let’s you edit a dialogue while preserving the original speakers style, _without needing to train or fine-tune beforehand._\n\n## \\[3\\] AI video\n\nIn an age where we can generate any video by typing a few lines of text, we don’t have to limit ourselves to what we can capture with a camera.\n\n<https://youtube.com/shorts/KnzWtu3niKQ>\n\n## Our YC deal\n\nFor any YC company we’re giving away our Scale Plan for free for 4 months, plus $1000 to spend on usage.\n\nWith the scale plan you get access to up to 15 concurrent jobs processing at once and handle up to 30 minute video at a time — leveraging this maximally you have the ability to generate around **\\~90 minutes of video per hour every hour.**\n\nLaunch an AI admaker, video translation tool, or any other content generation workflow you want and serve viral load with speed, reliability, and best-in-class quality.\n\nEmail us at [yc@sync.so](mailto:yc@sync.so) and we’ll get you set up.\n\n## So why does this matter?\n\nAt sync, AI lipsync is just the beginning.\n\nWe live in an extraordinary age.\n\nA high schooler can craft a masterpiece with an iPhone. A studio can produce a movie at a _tenth of the cost 10x faster_. Every video can be distributed worldwide in any language, _instantly._ Video is becoming as malleable as text.\n\nBut we have two fundamental problems to tackle before this is a reality:\n\n\\[1\\] Large video models are great at generating entirely new scenes and worlds, but struggle with precise control and fine grained edits. The ability to make subtle, intentional adjustments – the kind that separates good content from great content – doesn’t exist _yet_.\n\n\\[2\\] If video generation is world modeling, each human is a world unto themselves. We each have idiosyncrasies that make us unique — building primitives to capture, express, and modify them with high precision is the key to breaking through the uncanny valley.\n\nWe’re excited about lipsync-2, and for what’s coming up next. Reach out to [founders@sync.so](mailto:founders@sync.so) if you have any questions or are curious about our roadmap.",
        "url": "https://www.ycombinator.com/launches/NBu-sync-we-built-the-most-natural-lipsync-model-in-the-world-again",
        "votes": 16,
        "created_at": "2025-04-01T15:49:01.808Z"
      },
      {
        "id": 79187,
        "title": "sync. – AI lip sync tool for video content creators",
        "tagline": "from the team behind original Wav2Lip library ",
        "body": "**TL;DR:** we’ve built a state-of-the-art lip-sync model – and we’re building towards real-time face-to-face conversations w/ AI indistinguishable from humans 🦾\n\ntry our playground here: <https://app.synclabs.so/playground>\n\n**how does it work?**\n\n[ ](https://www.loom.com/share/a82317f622ec4e389387849a6c4a2073?sid=3f0b2b1e-4212-4940-bcca-b10aefeeda3e)\n\ntheoretically, our models can support any language — they learn phoneme / viseme mappings (the most basic unit / “token” of how sounds we make map to the shapes our mouths make to create them). it’s simple, but a start towards learning a foundational understanding of humans from video.\n\n**why is this useful?**\n\n_\\[1\\] we can dissolve language as a barrier_\n\ncheck out how we used it to dub the [entire 2-hour Tucker Carlson interview with Putin speaking fluent English.](https://vimeo.com/914605299)\n\nimagine millions gaining access to knowledge, entertainment, and connection — regardless of their native tongue.\n\nrealtime at the edge takes us further — live multilingual broadcasts + video calls, even walking around Tokyo w/ a Vision Pro 2 speaking English while everyone else Japanese.\n\n_\\[2\\] we can move the human-computer interface beyond text-based-chat_\n\nkeyboard / mice are lossy + low bandwidth. human communication is rich and goes beyond just the words we say. what if we could compute w/ a face-to-face interaction?\n\nmaybe embedding context around expressions + body language in inputs / outputs would help us interact w/ computers in a more human way. this thread of research is exciting.\n\n_\\[3\\] and more_\n\npowerful models small enough to run at the edge could unlock a lot:\n\neg.\n\nextreme compression for face-to-face video streaming\n\nenhanced, spatial-aware transcription w/ lip-reading\n\ndetecting deepfakes in the wild\n\non-device real-time video translation\n\netc.\n\n**who are we?**\n\n[ ](https://www.loom.com/share/42b332287f3d473196d1a0929099e3ea?sid=604edca5-f5ba-441a-9e23-d8e1f6ac5aa5)\n\n[**Prady Modukuru**](https://www.linkedin.com/in/prady-modukuru) **\\[CEO\\] |** Led product for a research team at Microsoft that made Defender a $350M+ product, took MSR research into production moving it from bottom of market to #1 in industry evals.\n\n[**Rudrabha Mukhopadhyay**](https://www.linkedin.com/in/rudrabha/) **\\[CTO\\] |** PhD CVIT @ IIIT-Hyderabad, co-authored wav2lip / 20+ major publications + 1200+ citations in the last 5 years.\n\n[**Prajwal K R**](https://www.linkedin.com/in/prajwalrenukanand/) **\\[CRO\\] |** PhD, VGG @ University of Oxford, w/ [**Andrew Zisserman**](https://scholar.google.com/citations?user=UZ5wscMAAAAJ&hl=en), prev. Research Scientist @ Meta, authored multiple breakthrough research papers (incl. Wav2Lip) on understanding and generating humans in video\n\n[**Pavan Reddy**](https://www.linkedin.com/in/pavan-reddy-8bb85a67/) **\\[COO/CFO\\]** 2x venture-backed founder/operator, built the first smart air purifier in India, prev. monetizing sota research @ IIIT-Hyderabad, engineering @ IIT Madras\n\n**how did we meet?**\n\nPrajwal + Rudrabha worked together at IIIT-hyderabad — and became famous by [shipping the world’s first model](https://github.com/Rudrabha/Wav2Lip) that could sync the lips in a video to any audio in the wild in any language, no training required.\n\nthey formed a company w/ Pavan and then worked w/ the university to monetize state-of-the-art research coming out of the labs and bring it to market.\n\nPrady met everyone online — first by hacking together a viral app around their open source models, then collaborating on product + research for fun, to cofounding sync. + going [**mega-viral.**](https://x.com/therealprady/status/1680645510103977987?s=20)\n\nSince then we’ve hacked irl across 4 different countries, across the US coasts, and moved into a hacker house in SF together.\n\n![uploaded image](/media/?type=post&id=79187&key=user_uploads/587624/1beb86a1-5ea0-404a-aab7-ada7eff4f154)\n\n**what’s our ask?**\n\ntry out our playground and API and let us know how we can make it easier to understand and simpler to use 😄\n\nplay around here: <https://app.synclabs.so/playground>",
        "url": "https://www.ycombinator.com/launches/KbD-sync-ai-lip-sync-tool-for-video-content-creators",
        "votes": 58,
        "created_at": "2024-03-08T00:36:58.008Z"
      }
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  },
  {
    "id": 29347,
    "name": "Vibrant Labs",
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    "website": "https://vibrantlabs.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "We work on methods to autonomously scaling evals/environments for post-training agents. ",
    "one_liner": "Autonomously scaling environments",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1709606147,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "Reinforcement Learning",
      "Open Source",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vibrant-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/vibrant-labs.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 387451,
        "full_name": "Jithin James",
        "title": "Founder/CEO",
        "founder_bio": "Jithin James (jjmachan), believes that life's purpose is found in the toil in mastering a craft and the fulfilment one gets from using it for the greater good. For him, this means excelling in software development, particularly in open-source and AI tooling, to empower fellow developers and help materialize their ambitious visions into reality. His journey is a testament to skill, dedication, and a commitment to community enrichment.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jjmachan",
        "x_url": "https://twitter.com/jjmachan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bcdfd4732c2b0bbf0b007a1d8cae49d902d64f71.jpg"
      },
      {
        "user_id": 889503,
        "full_name": "Shahul ES",
        "title": "Founder/CTO",
        "founder_bio": "Shahul (aka ikka) discovered his fascination for AI in his sophomore year while pursuing his computer science degree. This early interest laid the foundation for his journey to becoming a Kaggle GrandMaster and led to his significant contributions to open-source AI, particularly in initiatives like OpenAssistant AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shahules",
        "x_url": "https://twitter.com/Shahules786",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5bdaa55aa2f773d9e6e61c8bbd6944d8661b5a80.jpg"
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    "launches": [
      {
        "id": 79074,
        "title": "Ragas: Open-source evaluation and testing Infrastructure for LLM applications",
        "tagline": "Deploy your LLM application with confidence. ",
        "body": "### **TL;DR**\n\nWe are building [Ragas](https://www.ragas.io/) — an open-source evaluation and testing infrastructure for LLM application developers to deploy their applications in production with confidence.\n\n### About us\n\n![uploaded image](/media/?type=post&id=79074&key=user_uploads/889503/21a941e3-4798-4628-95cc-15332facb47e)\n\nWe’re [Jithin](https://linkedin.com/in/jjmachan) and [Shahul](https://linkedin.com/in/shahules)! Having met in college, we’ve collaborated on various projects for almost a decade now.\n\nJithin takes care of building the software and infrastructure. He was an early employee at Bento ML, where he built and maintained tools like [Bentoctl](https://github.com/bentoml/bentoctl), [Bentoml](https://github.com/bentoml/BentoML), and [Yatai](https://github.com/bentoml/Yatai). Shahul is responsible for AI research and engineering. He is a [Kaggle Grandmaster](https://www.kaggle.com/shahules) and a lead contributor to different open-source AI projects, including [Open-Assistant AI.](https://github.com/laion-ai/open-assistant)\n\n### Problem\n\nBefore 2023 software used to be written in code but with the emergence of foundational models software and applications are going to be compound systems containing code, prompts, and other components. This introduces several new problems\n\n* How do you select the best model or component suitable for your application from the abundance of available resources?\n* How do you test these systems and ensure continuous quality?\n* How do you derive insights from production to measure and improve your system?\n\nAs early adopters of this technology to build applications, we faced this problem while we were building RAG systems early last year.\n\n### Solution\n\nWe at [Ragas](https://docs.ragas.io/) make use of model-graded evaluations and testing techniques to ensure quality. This includes automated synthesis of test data points, explainable metrics, and adversarial testing.\n\nWe started by building this for RAGs, which is the most popular application of LLM as of today. Ragas is now the default open-source standard for evaluating RAG applications, processing over 4.7 million responses last month and used by engineers from enterprises like AWS, Microsoft, Databricks, Moody’s, UHG, and Tencent.\n\n![uploaded image](/media/?type=post&id=79074&key=user_uploads/889503/4da2d427-8bfe-4e4b-a76e-01c7a28ce747)\n\n### Our Ask\n\n* Checkout ragas on [GitHub](https://github.com/explodinggradients/ragas)\n* If you’re building RAG applications, consider [applying](https://forms.gle/TnqUHuY176m2juqL9) for the Ragas office hours program",
        "url": "https://www.ycombinator.com/launches/KZO-ragas-open-source-evaluation-and-testing-infrastructure-for-llm-applications",
        "votes": 94,
        "created_at": "2024-03-05T18:38:36.494Z"
      }
    ]
  },
  {
    "id": 29350,
    "name": "Feldy",
    "slug": "feldy",
    "former_names": [
      "Aether Energy",
      "Aether"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7175120ae6ae4f3d25e96905fcb4e3ce5d125052.png",
    "website": "https://feldy.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Feldy is field-first AI for home service businesses helping teams capture jobsites, create take-offs & estimates, and documentation.\r\n\r\nWith Feldy, teams capture the physical world using photos, videos, AI jobsite walkthroughs, and 3D scans using your mobile phone. It turns field information into takeoffs & estimates, visual designs, and project documentation. Feldy works across home services such as roofing, exteriors, remodeling, painting, cleaning, landscaping, handymen, and other home services.\r\n\r\nWe’re building a new way for more than 2 million U.S. home service businesses operating in an $800B+ market to capture, understand, and complete work in the field.\r\n\r\nFeldy is available on iOS, Android, and the web.",
    "one_liner": "Field-First AI for home services",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Zayne Sagar",
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        "full_name": "Shelby Bons",
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      {
        "id": 110395,
        "title": "Feldy: Field-first AI for home services and contractors.",
        "tagline": "Jobsite capture, 3D building scans, estimates and field documentation in one simple app. ",
        "body": "**TL;DR** 👋\n\nFeldy is field-first AI for home service companies. It unifies jobsite capture, 3D building scans, estimates, and field documentation in one simple app.\n\nWe’ve grown to over 200 paying customers on the web over the last few months, and are now launching the mobile app so field teams can use the full product on site.\n\nZayne and Shelby are construction software veterans with a combined 10+ years building computer vision and spatial AI tools.\n\n**Meet Feldy:**\n\n<https://www.youtube.com/watch?v=W0lEF7isKg4>\n\n**The Problem:**\n\nThe biggest problem in residential home services in 2026 is still remarkably simple: estimates do not go out fast enough to homeowners.\n\nAn estimate is the quote a homeowner receives explaining what work will be done and how much it will cost. Yet, if you call a window contractor, or painter, it can still take two or three days, often longer, to receive one. Over the last 8 months, my home became a test bed for remodeling projects, and this is one of the few truths that persisted. This problem appears in nearly every trade we encountered.\n\n_So why so long?_\n\nThe surprising part is that many of these estimates are not inherently complicated.\n\nConsider a typical window and door contractor. A sales representative drives to the property, walks through the home, identifies every window and door, photographs existing conditions, and asks discovery questions:\n\n* Do you want to replace the trim?\n* Should the opening change?\n\nCapturing this information can easily consume most of a one- or two-hour appointment. By the time the rep understands the property and records everything the office needs, there is _very little time left_ to actually sell the project. This is the primary reason quotes arrive days later, or require a second visit.\n\nFurthermore, existing software makes the problem worse.\n\nMost contractor tools have always been structured like digital forms. The software records what the estimator has already figured out, but it does very little to help figure out the job.\n\nThis is what led us to ask: what does this contractor world look like if the software recorded and figured out the job at once? Well, that’s Feldy.\n\n![uploaded image](/media/?type=post&id=110395&key=user_uploads/1494934/6bdd00aa-4517-41c6-897e-517110044d2b)\n\n**So how do we solve this?**\n\nInstead of requiring the person in the field to manually observe and organize everything, Feldy uses in-house computer vision and vision-language models to perform much of this _low-value work_: necessary technical work that consumes the majority of the job visit time, but creates little visible value for the homeowner.\n\nThe contractor _captures_ the property via photos/videos, lidar scans, or job walkthroughs (video and audio are combined). Feldy then interprets the capture and helps turn it into an estimate amongst a host of other workflow items such as inspection reports, proposals, materials lists, etc.\n\nThe entire thesis behind Feldy can be summed up as:\n\n_How do we remove the time-consuming thinking required from the estimator that creates little visible value for the homeowner?_\n\n![uploaded image](/media/?type=post&id=110395&key=user_uploads/1494934/060ca1ad-5038-40a5-868f-fb14eb04b164)\n\n**The Scale of the bottleneck**\n\nAngi’s list has estimated that American households undertake more than 700 million home projects annually.\n\nUsing 600 million estimates (aggressive case):\n\n* 600M estimates \\* 3.5 hours = 2.1 billion total labor hours\n* 50% spent on measuring, documenting, takeoff, and estimate construction = 1.05 billion hours\n* At $45–50 fully loaded cost = $47–53 billion in annual labor capacity tied up in that work\n\nIf Feldy reclaims 1–1.25 hours per estimate:\n\n* 750 million hours returned\n* Roughly $27–37 billion in productive capacity per year.\n\nFor the average home-services company, this is equivalent to reclaiming $50,000–$100,000+ in capacity each year, capacity that can be converted directly into more estimates, lower overhead, and higher revenue.\n\n**The Team**\n\nZayne and Shelby met at UC Berkeley’s engineering school nearly 10 years ago. For the last three years, they have worked side by side building technology for the construction and home-services industries.\n\nTogether, they previously took a construction-software company from zero to $500k ARR in months. \n\nThe pair is more excited than ever to build the next generation of software for home-service businesses.\n\n**The ask**\n\nIf you know anyone who works in home services, tell them about Feldy and ask them to download the app!\n\nSearch Feldy AI on [IOS ](https://apps.apple.com/us/app/feldy-ai/id6780327228)and [Android ](https://play.google.com/store/apps/details?id=com.feldy.app)app stores.\n\n* You can reach us directly at [**zayne@feldy.ai**](mailto:zayne@feldy.ai)\n* To learn more about Feldy visit us at our [feldy ai](https://feldy.ai/?utm_source=yc&utm_medium=launch&utm_campaign=feldy_launch_campaign_2026&utm_content=first_launch_post) website",
        "url": "https://www.ycombinator.com/launches/SiZ-feldy-field-first-ai-for-home-services-and-contractors",
        "votes": 22,
        "created_at": "2026-08-13T14:55:04.664Z"
      },
      {
        "id": 79053,
        "title": "Aether  - AI platform for rooftop solar",
        "tagline": "Aether is AI design and workflow software for solar installers.",
        "body": "**TL;DR**\n\n[Aether](https://aetherenergie.com/) offers an AI-powered end-to-end platform for rooftop solar installers. We combine advancements in computer vision/lidar and LLMs to bring a unique workflow automation tool for solar installers worldwide.\n\n## Before we start, a sneak peek at Aether:\n\n![uploaded image](/media/?type=post&id=79053&key=user_uploads/1527633/4dd1fd38-1a6f-42f1-b8b8-1ad5d62ea174)\n\n## Some Background\n\n---\n\nHey all, we’re [Shelby Bons](https://linkedin.com/in/shelby-bons-ucberkeley) and [Zayne Sagar](https://linkedin.com/in/zaynesager), two climate entrepreneurs! Our fundamental mission is to make rooftop solar energy accessible and cheap throughout the world.\n\n![uploaded image](/media/?type=post&id=79053&key=user_uploads/1527633/561a67f7-4f40-419e-af7f-2ff7557ac5b7)\n\nFor rooftop solar to be deployed, it’s really up to solar installers. To us, the people who run these companies are our heroes. Last year we spoke to hundreds of solar installers and one thing is clear - they don’t have the tools to make them successful. We reimagined rooftop solar software from the ground up for them.\n\nAether _automates the boring stuff for solar installers using AI_.\n\n## **❌** The Problem:\n\nThe biggest problem in US rooftop solar is still solar soft costs. These are non-hardware costs associated with a solar project, and they amount to north of 60% of the total solar cost of an installed system! If you reduce this you create more demand for rooftop solar in the market = better outcome for our planet.\n\n**Contributors to high soft costs:**\n\n* **PV CAD Design teams still manually build rooftop PV site designs**. This is time-consuming and prone to lots of errors. Mistakes here mean re-doing plansets and permitting which can cost $1k - $2k extra.\n* **Almost all solar design tools are inaccurate in production and consumption modeling**. This is what tells rooftop owners “Is this the right investment for me?” Most solar tools were built as a sidekick for sales reps, with just enough basic estimates to sell a solar proposal. Consumers are smarter now and recent legal litigations are forcing better modeling to be done when selling solar.\n* **Dependency on multiple platforms:** Most solar companies use a software stack of 6 - 10 point solutions. Collectively the solution is dumb and creates chaotic workflows where deals get lost and project delays happen a lot. This is very expensive.\n* **Lack of project visibility across teams** causing lost sales deals, and project delays\n\nWe estimate $5k to $ 7k added soft costs for a typical rooftop project occurring because of the above.\n\n## **✅** Solution:\n\n**Aether is built to streamline the rooftop solar workflow end to end. Think Procore or Veeva but for Solar with an AI twist.**\n\nWith Aether, solar companies can rapidly generate PV site designs, sell using a beautiful PV proposal, and then manage it to installation in one simplified workflow.\n\nAether is made up of hubs that help specific roles in a solar installation company do their job, but more importantly, collaborate with other teams as needed with the help of AI.\n\n**Our two core innovations:**\n\n* We built an in-house computer vision model.\n* We also decided to build a mini fine-tuned model for solar. Being trained on items such as system production data, vision model outputs, etc. (Can’t give the rest of our sauce away!)\n\n![uploaded image](/media/?type=post&id=79053&key=user_uploads/1527633/a0dc44ab-bc4f-498d-bc2d-7318a4751d70)\n\n**The result is a unified AI platform to streamline solar with solar agents.**\n\n[Aether Platform - Sneak Peak](https://www.youtube.com/watch?v=EFJuKOI8kEs&feature=youtu.be)\n\n**💲Opportunity:** Aether will be a big player in the young and emerging Solar software vertical, which has a projected 20B Global TAM up for grabs by 2025.\n\n## About Us\n\n_Shelby and Zayne met at UC Berkeley close to a decade ago both originally being born in complete opposite ends of the world, France and Fiji._\n\n_Shelby studied Materials Science and Engineering at UC Berkeley and was briefly headed for a Ph.D. in Theoretical Physics before founding Aether. She has worked at Dolby Laboratories, Voltaiq, and Sunrun in Data Science & Machine Learning roles._\n\n_Zayne had brief stints at multiple climate-driven companies, working on problems around space-based weather data and energy modeling problems at the intersection of software. He has built high-performing product & engineering teams from the ground up by the age of 28._\n\n## **🙏** Our Ask:\n\n* Please share this post with your network, and tell solar installers about us!\n* If you are a rooftop solar installer, check us out at <https://aetherenergie.com/> and book a demo with us!\n* If you’re as excited as we are about this novel approach to solar software and would like to learn more about what we’re doing, comment below or email us at [zsagar@aetherenergy.me](mailto:zsagar@aetherenergy.me)\n\n**💲Early adopter discount**: We’re giving solar installers 50% off whatever design tool they currently pay for.",
        "url": "https://www.ycombinator.com/launches/KZ3-aether-ai-platform-for-rooftop-solar",
        "votes": 23,
        "created_at": "2024-03-05T02:02:09.486Z"
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        "full_name": "Kevin Tang",
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        "founder_bio": "Previously, Kevin was a software engineer at Two Sigma where he architected and built service infrastructure for modeling, trading, and engineering teams (scale ~10K CPUs, ~1PB RAM). Kevin learned to program by creating Roblox games in high school; one of his games had 2,000 concurrent players and featured on the front page.",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
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      {
        "id": 84402,
        "title": "🔥 Firebender - The best AI assistant for Android Studio",
        "tagline": "Meet Firebender, Android Studio's missing AI assistant.",
        "body": "Hey everyone! We’re Aman and Kevin from [Firebender](https://firebender.com/), building the best AI tools for Android developers.\n\n**TLDR:** [Firebender](https://firebender.com/) is a **free** and **privacy-first** Android Studio AI assistant.\n\n### **🎥 Firebender in Action**\n\n<https://youtu.be/It-TD_95yNk>\n\n### **🛠️ Problem**\n\n* **Inefficient Workflows**: Constantly switching between Android Studio and ChatGPT is annoying, disrupts your development flow, and reduces productivity.\n* **AI Assistants are shit**: General-purpose AI coding tools don't integrate relevant Android-specific contexts like Logcat and the emulator. Some flat-out don’t work in Android Studio at all.\n\n  _“Gemini and Copilot are comically bad. I never use them”_ - Android Tech Lead at GoodRx\n* **Outdated Android Training Data**: Leading AI models have a knowledge cutoff that lags behind Android's fast-paced, often backward-incompatible changes. This gap leads to incorrect AI code suggestions for updated SDKs, libraries, architecture patterns, and UI frameworks like Jetpack Compose.\n\n  _“GPT4 and Claude were clueless about the Android UI framework we use. We had to build an in-house context retrieval system to make AI coding useful.”_ - Senior Staff Android Eng at Airbnb\n\n### **🔥 Our Solution - Firebender**\n\n* **Android Studio Plugin:** One click [install](https://plugins.jetbrains.com/plugin/25224-firebender) from IntelliJ marketplace.\n* **Talk to your codebase**: AI chat window for comprehensive assistance with your codebase, logs, profiler, and emulator.\n\n  ![uploaded image](/media/?type=post&id=84402&key=user_uploads/451682/07fb823c-fd19-4659-8c42-6a98d523a6aa)\n\n* **Fast Edit**: Enables quick, context-aware code modifications directly in your current file.\n\n  ![uploaded image](/media/?type=post&id=84402&key=user_uploads/451682/7bd9e58e-fd4f-4983-9967-a882197fb9d9)\n\n* **Up-to-date Android Knowledge**: Firebender scrapes real-time knowledge from the latest SDKs, libraries, repos, and docs into context.\n* **Free &amp; Privacy First**: We do **not log, store, or persist your code**.\n\nAn iOS developer with 10 years of experience built his first Android app in just 3 weeks using Firebender—a task that had taken him 3 months for iOS.\n\n_\"There was no way I could've built it as fast as I did without Firebender\"_ - iOS Eng at Sinai Health\n\n### **🤷 Why we built Firebender**\n\nA few months ago, we were developing Firebender OS - an AI-powered fork of Android. We rooted Pixel 8s and created an AI assistant that activates by holding the power button. It automated tasks like drafting calendar invites from messages and opening relevant apps based on your location and schedule. Despite using it every day, we realized the added value wasn't sufficient. We didn’t love the product.\n\nThroughout this process, we constantly struggled without a good AI coding assistant for Android development. Existing tools have shockingly poor Android support, focusing instead on other IntelliJ IDEs and languages. This gap revealed a clear opportunity so we pivoted immediately to building Firebender, the best AI coding assistant for Android developers.\n\n### 🙏 **Our Asks**\n\n* [Try Firebender](https://plugins.jetbrains.com/plugin/25224-firebender/versions/stable) for Android Studio\n* Share Firebender with your Android developer friends!",
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    "long_description": "Resonance hyper-personalizes MarTech campaign content and automatically refreshes and stores high performing content for re-use.",
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        "full_name": "Jonathan Ou",
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        "title": "Resonance - Optimally upsell users within your product",
        "tagline": "Effortlessly boost net revenue retention in your product post user onboarding.",
        "body": "> **TL;DR:**\n\n[_Resonance_](https://www.useresonance.com/) _is an ad server for house ads (self-promotional marketing). Companies use Resonance as a one-stop shop for campaign creation, intelligent experimentation/prioritization, analytics, and impression management to boost net revenue retention following user onboarding._ [_Schedule a demo_](https://calendly.com/jonathantou/quick-chat) or [_get in contact_](https://www.useresonance.com/contact).\n\n> **The Team:**\n\nI used to work as a SWE at Dropbox, DoorDash, and Microsoft. In particular, I helped build a similar platform to Resonance at Dropbox that generated $100 million ARR. I wanted to start Resonance because 1) I felt there were many ways to improve that particular tool and 2) I wanted to bring that tool to other companies that need it but don’t have the bandwidth to build it themselves.\n\n> **The Problem:**\n\nFor companies that depend on product-led growth (primarily consumer/SMB/startup-centric companies), their website remains their most valuable marketing channel. Post-user onboarding, these companies rely on in-product messaging to drive feature adoption so they can retain users.\n\nUnfortunately, this sort of strategy only works at scale, and there are many challenges in doing so. Below are some non-trivial functionalities that modern companies require to launch effective campaigns with velocity:\n\n1. Code-based and no-code workflows for launching campaigns\n2. Campaign performance analytics\n3. Intelligent campaign targeting and experimentation\n4. Sophisticated campaign impression management\n5. UX flexibility (i.e. messaging should not be limited just to overlays)\n\nSolving this problem is crucial, as millions in ARR is left on the table if companies cannot properly scale their in-product feature discovery/awareness/education. Companies like Dropbox that have built tooling to address the above challenges have generated up to $100 million ARR from the increased user retention.\n\n> **The Solution:**\n\nSolving this problem requires building a centralized system where any stakeholder (technical or non-technical) can effortlessly launch campaigns to drive in-product feature adoption.\n\nHolistic assessment of campaign performance, global impression management, and optimized campaign targeting can only work at scale if there is a single system that serves as a repository for all campaigns and governs campaign creation.\n\nResonance addresses this by providing a central platform where developers and non-developers can both easily launch in-product feature adoption campaigns within minutes, with the above functionalities provided out of the box.\n\nBelow are screenshots of some important features in our UI (and there are many more).\n\n* No code builder with live preview on your website and experimentation\n  * (**NOTE**: The preview will obviously be with your website and UI components - disregard my modal and website)\n\n![uploaded image](/media/?type=post&id=79089&key=user_uploads/570574/7339d733-3683-43bd-9fac-f23d881bfdf4)\n\n* Complex User Targeting\n\n  ![uploaded image](/media/?type=post&id=79089&key=user_uploads/570574/cc3cd9e1-809f-499e-b871-934e27807a38)\n\n* Sophisticated Frequency Management\n  * (**NOTE**: We also have similar rules that apply globally for all campaigns)\n\n![uploaded image](/media/?type=post&id=79089&key=user_uploads/570574/f1b8a942-dc12-440f-8680-6c4dee517be4)\n\n* Global Analytics\n\n![uploaded image](/media/?type=post&id=79089&key=user_uploads/570574/62457d65-c845-48ff-8877-569dfa707544)\n\n* Intelligent Experimentation (experiment up to 7x faster with 4-8x more variants)\n\n  ![uploaded image](/media/?type=post&id=79089&key=user_uploads/570574/53430985-a9d3-4c17-97eb-52bc56285c86)\n\n\n> Our Ask\n\n1. If you are a product-led company, shipping a lot of features, or are using something like Intercom or Pendo, I’d love to set up some time here to chat about improving your user retention. I’m familiar with existing tools and I believe I can do a much better job.\n2. If not, I’d appreciate an intro to anyone in your network who works in a senior role within growth or product if possible.",
        "url": "https://www.ycombinator.com/launches/KZd-resonance-optimally-upsell-users-within-your-product",
        "votes": 48,
        "created_at": "2024-03-06T01:22:47.987Z"
      }
    ]
  },
  {
    "id": 29354,
    "name": "crmCopilot",
    "slug": "crmcopilot",
    "former_names": [
      "Timecard",
      "quantic",
      "Quantic",
      "Quantic Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a92963c7922ed7c65ae686f8dfd2c561c463c8b.png",
    "website": "https://www.crmcopilot.co?utm_source=yc",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "crmCopilot – Stop with the grunt work. Spend more time with customers.\r\n\r\nAre you juggling multiple accounts and conversations? Are you worried about missing follow-ups or letting opportunities fall through the cracks? Are you spending hours every week updating your CRM… but still struggle with duplicates, stale data, and unreliable reports? Does just thinking about Salesforce give you anxiety?\r\n\r\nWorry no more.\r\n\r\ncrmCopilot is an AI assistant purpose-built to support front-office teams by taking care of tedious tasks and delivering proactive insights:\r\n\r\n-- Automated CRM Updates: crmCopilot intelligently detects when your CRM needs attention, drafting precise and timely updates that you can approve with a single click - transforming hours of manual data entry into mere seconds.\r\n\r\n-- Task Management: crmCopilot proactively identifies your next steps, important follow-ups, and critical tasks. It continuously tracks deadlines and action items, ensuring nothing is forgotten or overlooked.\r\n\r\n-- Global Search: Quickly find crucial information across all your emails, CRM data, calendar events, call recordings, documents, and notes, all from a single, intuitive search interface. No more time wasted hunting down important details.\r\n\r\ncrmCopilot customers close more deals and build stronger relationships. You’ll spend more time with customers, never miss a task or opportunity, and walk into every meeting fully prepared with every customer interaction at your fingertips. \r\n\r\nGive Salesforce the AI upgrade it deserves. Try crmCopilot today.\r\n",
    "one_liner": "Give Salesforce the AI upgrade it deserves",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1709006335,
    "tags": [
      "Sales",
      "Sales Enablement",
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      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
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    "regions": [
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/crmcopilot",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/crmcopilot.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/crmcopilotco",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 318114,
        "full_name": "Grant Margerum",
        "title": "Founder",
        "founder_bio": "- Studied CS \n- Worked at Salesforce as a dev for two years then as an SE (pre-sales engineer) for two years\n- Joined Northbeam as the 1st employee and Head of Sales; grew the business from $200k -> $10m in 15 months",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/grantmargerum",
        "x_url": "https://twitter.com/GrantMargerum",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3a4114e5a740c7e3aa4ee98bfe5ac5e6a810645.jpg"
      },
      {
        "user_id": 1654569,
        "full_name": "Garrett Graves",
        "title": "Founder",
        "founder_bio": "Dropped out of college to build Real Time Video at Mux and Twitch. Avid open-source contributor (https://github.com/GRVYDEV). Built AI Agents before they were cool at Quantic. Currently leading the Agent Environments team at Perplexity",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/graves-dev",
        "x_url": "https://twitter.com/grvydev",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a56e106801c021539a7dad1ac2d13505a1ce6598.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 91926,
        "title": "crmCopilot - Give Salesforce the AI upgrade it deserves!",
        "tagline": "Stop with the grunt work, spend more time with customers",
        "body": "Hey YC, we're Grant and Jarrek, and we're excited to launch crmCopilot!\n\ncrmCopilot automates data entry, proactively manages your tasks, and helps you quickly find critical information across all your interactions… so you can spend less time on grunt work and more time with customers!\n\n[https://www.youtube.com/watch?v=3rUnCUGin7U](https://www.youtube.com/watch?v=3rUnCUGin7U&ab_channel=crmCopilot)\n\n**The Problem**\n\nI (Grant) spent four years at Salesforce as a Sales Engineer and saw firsthand how frustrating CRMs can be. Despite massive investments, CRMs often become messy and unreliable, burdened with stale data, duplicates, and manual data entry. CRMs promise so much, but never live up to their full potential.  \n\n**“The biggest thing I learned at Salesforce was that everyone hates Salesforce…”** \n\nSo why is this the case? Why hasn’t this been solved already? Well, it’s a hard problem, and many have tried over the years (Salesforce included): \n\n* CRMs are incredibly complicated, unique, and accumulate tech debt\n* There is an enormous amount of source data to make sense of (emails, calls, files, transcripts, etc.)\n\n \n\n**Why It Matters**\n\nSales reps spend 30-50% of their time on grunt work (CRM updates, follow-up emails, quotes/documentation, etc.), and yet we still can't rely on our CRM for reporting, accountability, or automation. \n\nBusinesses suffer from:\n\n* Wasted time - on grunt work instead of customers \n* Unreliable data - lack of accountability, reporting, automation, and insights\n* Revenue left on the table - opportunities fall through the cracks\n\n \n\n**Our Solution**\n\nCRMs are absolutely critical to our business, but they need to be smarter… and thanks to AI, they can be. \n\n![uploaded image](/media/?type=post&id=91926&key=user_uploads/318114/001c4bc7-125d-4415-bbee-a50768315513)\n\nWe built crmCopilot—an AI assistant specifically optimized for front-office teams:\n\n* **Automated CRM Updates** - crmCopilot intelligently identifies when your CRM needs updating, drafting accurate and timely updates that you can approve with just one click.\n* **Task Management** (Cover Your Ass) - crmCopilot proactively identifies next steps, tracks important follow-ups, and ensures no opportunity or critical task ever slips through the cracks.\n* **Global Search** - Instantly find important details across emails, CRM records, calendar events, call recordings, notes, and documents with one simple search.\n\ncrmCopilot integrates into your existing tools/workflow, enhancing your systems rather than replacing them.\n\n**Our Story**\n\nWe (Grant and Jarrek) met at our last startup, Northbeam. Grant was employee #1 & Head of Sales, Jarrek was employee #2 and Head of Product Development. We helped grow that business from $100k to $10m in revenue in about 15 months. We built a lot of trust in one another, we both love building products, and we both love building companies. \n\n**Call to Action**\n\nWe're thrilled to start onboarding users from our waitlist. If you're tired of grunt work, bad data, missing information, or task anxiety, join our waitlist or schedule a call with our team. \n\n\\\nSign up or schedule a demo at [crmcopilot.co](http://crmcopilot.co)\n\n![uploaded image](/media/?type=post&id=91926&key=user_uploads/318114/f982515a-d482-45a0-8c63-67ce536459c1)\n\n",
        "url": "https://www.ycombinator.com/launches/Nug-crmcopilot-give-salesforce-the-ai-upgrade-it-deserves",
        "votes": 34,
        "created_at": "2025-07-07T16:21:02.227Z"
      },
      {
        "id": 79117,
        "title": "Quantic - Next generation data for sales teams",
        "tagline": "Build better pipeline - reach out to the right people, at the right time, with the right message.",
        "body": "### TLDR\n\n# There are three T’s in sales: **Territory**, **Talent**, and **Timing**. What if we could solve the hardest one… **Timing?**\n\n### Quantic provides better data so sales reps can reach out to the **right people,** with the **right message**, at the **right time.**\n\n![uploaded image](/media/?type=post&id=79117&key=user_uploads/318114/f3f42547-5b9a-470b-8220-d7eae8602281)\n\nHey everyone! We are [Garrett (left)](https://linkedin.com/in/graves-dev) and [Grant (right)](https://linkedin.com/in/grantmargerum), the founders of Quantic. We are building **the future of sales intelligence, a next-generation data platform.** If there’s one thing we’ve learned it’s that sales is hard. But it doesn’t have to be. Today, sales reps navigate between countless tools looking for an edge, an insight, or a lead. They are limited by their time and their workflows. In the future, reps won’t waste time doing monotonous data work, they will be able to **focus on what they do best, selling**.\n\nWe built Quantic with the mission of 10x-ing sales reps. We make it easy for reps to **research their customers, identify opportunities,** and **optimize their time.**\n\n![](https://lh7-us.googleusercontent.com/-zozKMssr-3OqplVhIbcePRbn0zYDIspQnUMqgKq4v_jsqBvKlY6tU0KofxlzAZ33M3lxgSxRlxuHcveKKswV2MTFC5W1sLiHyWlNALt0OgxXvkIpdC9tzRVXjZO-_As8M40ulVvvPz7Pa06nBCOe1U)\n\n### The Problem\n\n**Prospecting sucks. Reps have a hard time consistently building a pipeline**\n\n* Don’t know which accounts to go after\n  * Don’t know which are qualified\n  * Don’t know which are ready to buy\n* Don’t have a good entry point\n  * Hard to find the right contacts\n  * Hard to craft personalized/engaging messaging every time\n* Don’t have enough time\n  * Existing tools are clunky and filled with junk data\n  * Don’t have time to do thorough research\n\n![](https://lh7-us.googleusercontent.com/rkH_Xlq76A5Y12HD7eoSkE-WRbTbBuU2xsZPLj6PSdx_oEzIYX8eljoo_TBg4cKomrP15A3xnH30SJ_rVWaJ1zdzcscYjQdNHigivFCGrnWch_erxpPx08S_z9buX1hPPGegN1k73yx1ApCM_UqHaQE)\n\n### The Solution\n\n**Better data allows reps to reach out at the right time with the right message**\n\n* Quantic’s data is\n  * Fresh/relevant\n  * Personalized to you\n  * Reliable\n* With Quantic, sales reps\n  * Identify hot accounts & contacts\n  * Send relevant messages with context\n  * At the right time\n\n![uploaded image](/media/?type=post&id=79117&key=user_uploads/318114/87fac7fe-80a4-4bdf-a027-2fbc0cbecc21)\n\n### Example\n\nOne of our customers sells physical security products. They look for buying signals such as crime in their area, moving offices, opening up new stores, press releases, fundraising, etc. In their first week using the platform they **found an article announcing a new office development**. They were able to identify the right contact at the business, reach out to them with this article, and **immediately schedule a demo.**\n\n### The Ask\n\nPlease like, comment, share!\n\n**We are actively onboarding customers - If this is interesting to you, please reach out to **[**sales@quantichq.com**](mailto:sales@quantichq.com)** or fill out our lead form at **[**quantichq.com**](https://www.quantichq.com?utm_source=yc&utm_campaign=launchyc)**.**\n\n### We appreciate your support!!",
        "url": "https://www.ycombinator.com/launches/Ka5-quantic-next-generation-data-for-sales-teams",
        "votes": 57,
        "created_at": "2024-03-06T16:46:36.285Z"
      }
    ]
  },
  {
    "id": 29356,
    "name": "Centralize",
    "slug": "centralize",
    "former_names": [
      "Sage",
      "Collate"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bc7c40a368d66db588fec716bdb4cfc3dba48d1.png",
    "website": "https://www.usecentralize.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Centralize is the relationship intelligence platform for enterprise revenue. We show reps who they know inside every deal, who they're missing, and the fastest path to the decision-makers who close it. We're building the graph of who trusts who in B2B.",
    "one_liner": "The relationship intelligence platform for enterprise revenue",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1699493825,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/centralize",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/centralize.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usecentralize",
    "x_url": "https://twitter.com/UseCentralize_",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bc7c40a368d66db588fec716bdb4cfc3dba48d1.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1541841,
        "full_name": "Rachit Kataria",
        "title": "Founder/CEO",
        "founder_bio": "Rachit is the co-founder and CEO of Centralize, the all-in-one deal workspace for high ACV revenue teams. Prior to Centralize, he was the product tech lead at AtoB (YC S20) and built the foundations of their partner-funded discounts and telematics fraud suite. Before that, he was a founding engineer on Facebook Shops and helped scale the product to hundreds of millions of MAUs. He's originally from the Bay Area and received a BS / MS in CS from the University of Southern California.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rachitkataria",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c1c340b6d874c94b9d18724e3fe331753bf740d4.jpg"
      },
      {
        "user_id": 1322708,
        "full_name": "Will Wang",
        "title": "Founder/CTO",
        "founder_bio": "Will is the co-founder and CTO of Centralize, the all-in-one deal workspace for high ACV revenue teams. Prior to Centralize, Will started the prototyping team at Slack & led the initial launch of Huddles, the fastest growing product in Slack history. He also led engineering & product for Clips, Save For Later, Lists & other experimental verticals. Will was also the 1st engineer at Capture, where he built much of the product from the ground up.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/williamwang77",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5ea5ee24e4a3bc9617120a0dfdbf996a89d69d7.jpg"
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    ],
    "jobs": [
      {
        "id": 94472,
        "title": "Software Engineer (Product)",
        "url": "https://www.ycombinator.com/companies/centralize/jobs/4dgWq6o-software-engineer-product",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $260K",
        "equity_range": "0.20% - 0.40%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Centralize is the GPS for Enterprise Deals",
        "url": "https://www.youtube.com/watch?v=dZLVDPzPITg",
        "date": "Sep 08, 2026"
      }
    ],
    "launches": [
      {
        "id": 82598,
        "title": "🤝 Centralize - AI-powered org charts for enterprise sales",
        "tagline": "The relationship intelligence platform for B2B revenue teams",
        "body": "Hey everyone! We’re Rachit and Will, the founders of [Centralize](https://usecentralize.com/).\n\n**tl;dr**: Centralize is the relationship intelligence platform for enterprise sales. We help enterprise sellers 2x their deal velocity and boost win rates by up to 56% with automatic account mapping and contact insights.\n\n---\n\n—\n\n## Problem\n\nUnderstanding customer relationships is crucial to the entire enterprise sales lifecycle, from closed won to renewal and upsell. The best teams use **account mapping,** but it’s an entirely manual and tedious exercise today. Reps are stuck making instantly outdated org charts in Powerpoint or juggling extensive CRM lists in their minds. That doesn’t even factor in ongoing conversations across stakeholders — **all of that revenue-influencing data** is buried in jumbled CRM fields, call transcripts, notes, and emails.\n\nThe result?\n\nDeals fall through due to champion blind spots. Reps don’t have enough time to prep well for calls. Pipeline reviews end in ambiguity and concerns around “happy ears”.\n\n**❌ Stalled pipeline, hours of admin overhead, and poor win rates ❌**\n\nWhat if the entire account mapping process could be automated with contact-level conversation insights?\n\n## Solution\n\n![uploaded image](/media/?type=post&id=82598&key=user_uploads/1541841/e4e3e4a0-383f-405e-a273-f6a4fa325524)\n\n**Centralize is the relationship intelligence platform for enterprise sales, helping revenue teams say the right thing, to the right person, at the right time.**\n\nOur enriched dynamic org charts make cross-department multithreading a breeze. Contact priorities update in real-time using AI-generated conversation insights from emails and calls. In-depth account planning becomes scalable and pipeline reviews now take minutes, giving leaders an objective, birds-eye view of each deal.\n\nDesigned for the entire revenue team, our platform offers unlimited seats for sales reps, leaders, CSMs, and AMs. Best of all, we meet you where your team works, right within your CRM.\n\nThe result?\n\n**✅ 2x deal velocity and increased win rates by up to 56% ✅**\n\n![uploaded image](/media/?type=post&id=82598&key=user_uploads/1541841/05dc40bf-33d5-48b6-92b8-cd6775d10254)\n\n## Team\n\n![uploaded image](/media/?type=post&id=82598&key=user_uploads/1541841/3c552384-328c-43de-a128-7b122c31979f)\n\n[Rachit Kataria](https://www.linkedin.com/in/rachitkataria/) and [Will Wang](https://www.linkedin.com/in/williamwang77/) met their first week of Freshman year at USC (fight on ✌🏽) and have been friends for almost a decade.\n\nRachit was a founding engineer on Facebook Shops and helped scale it to 250M MAUs. He left to tech lead product engineering at AtoB (S20) where he built the foundations of fuel card fraud detection. Will prototyped and led the launch of Huddles, the fastest growing product in Slack history. He left to build the future of personal productivity at Capture (W19).\n\nThroughout these experiences, both have seen first-hand how important relationships are to the initial close and continued success of an account.\n\nTogether, they’re on a mission to bring relationship intelligence to every B2B company.\n\n## 🙏🏽 Our Ask\n\nIf you run a mid-market / enterprise / strategic sales motion, let’s chat! We work with fast-growing businesses ranging from Series A to pre-IPO, so you’re in great company.\n\n[Book a demo](https://cal.com/rachit-kataria/centralize-demo) or reach out to us at [founders@usecentralize.com](mailto:founders@usecentralize.com) 😊",
        "url": "https://www.ycombinator.com/launches/LUE-centralize-ai-powered-org-charts-for-enterprise-sales",
        "votes": 7,
        "created_at": "2024-07-31T15:15:07.833Z"
      },
      {
        "id": 78889,
        "title": "🧠 Centralize - Demystify customer conversations and unlock revenue",
        "tagline": "The missing customer intelligence platform for B2B revenue teams",
        "body": "👋🏼 Hey everyone! We’re [Rachit](https://www.linkedin.com/in/rachitkataria/) and [Will](https://www.linkedin.com/in/williamwang77/), the founders of [Centralize](https://www.usecentralize.com/).\n\n**tl;dr:** Centralize is the new way for pre and post-sales teams to fully understand their customers, in one place. We’re the missing revenue tool that B2B companies use to win more deals, upsell customers, and eliminate churn.\n\n—\n\n## **Problem**\n\nEvery SaaS company has a revenue problem. Budgets are tightening, which means new deals are harder to close and existing customers are quicker to churn. Now, more than ever, Sales and Success teams need to deeply understand customer conversations across time, tools, and stakeholders.\n\nUnfortunately, this is impossible at scale. **All of that revenue-influencing data is** **hidden** in a sea of CRM fields, call transcripts, notes, emails, and tickets. For even the best teams, getting visibility across data silos, sifting through text for hours, and connecting the dots is **a herculean task**.\n\nThe result?\n\nSales reps can’t reference relevant customer stories during prospect calls to seal the deal. They get bottlenecked internally, hoping Success has the answers. CSMs don’t have the full picture of the customer journey either and can’t maximize upsell and renewal outcomes.\n\n**❌ Slower qualification, stalled pipeline, dropped deals, and more churn ❌**\n\n## **Solution**\n\nCentralize is the first customer intelligence platform that helps B2B revenue teams tell the right story, every time. We automatically centralize (😉) and analyze touch points across high-touch accounts, creating the perfect “customer brain”.\n\n**Sales** gets a ranked list of reference customers ahead of any prospect call. They get _in-context_ insights about use cases and solutions that can be used to craft a personalized narrative. Reps, new or experienced, always come across as empathetic experts and win more deals.\n\n![uploaded image](/media/?type=post&id=78889&key=user_uploads/1541841/8273fb60-4936-448b-85b0-5ccab0a104a8)\n\n**Success** gets a real-time customer dashboard to understand accounts at a glance. Leadership and ICs can go deeper with instant, self-serve answers to _any customer question_. Renewals, reporting, and QBRs become a breeze when you know exactly what’s happening on the ground.\n\n![uploaded image](/media/?type=post&id=78889&key=user_uploads/1541841/7cd7e0cb-0041-4afe-ab28-520f18c0fe3b)\n\nThe result?\n\n**✅ Qualify 10x faster, boost lead to opportunity conversion rates, win more deals, drive upsells, and eliminate churn ✅**\n\n## **Team**\n\n![uploaded image](/media/?type=post&id=78889&key=user_uploads/1541841/34599b9e-7c0a-4f1b-8d4b-bb42ee45f884)\n\nRachit Kataria and Will Wang met their first week of freshman year at USC (fight on ✌🏽) and have been friends for almost a decade.\n\nRachit was a founding engineer on Facebook Shops and helped scale it to 250M MAUs. He left to tech lead product engineering at AtoB (S20) where he built the foundations of fuel card fraud detection. Will prototyped and led the launch of Huddles, the fastest growing product in Slack history. He left to build the future of personal productivity at Capture (W19).\n\nThey know that it pays to be customer-obsessed and they’re on a mission to make that incredibly easy for every B2B company.\n\n## **Ask**\n\nYour revenue teams need to understand customer context to move the needle, and we’re here to help!\n\nIf you know any sales or success leaders who could benefit from Centralize, please send them our way.\n\nIf you are one, we’d love to chat! [Book a demo](https://cal.com/rachit-kataria/centralize-yc-launch) or reach out to us at [founders@usecentralize.com](mailto:founders@usecentralize.com) 😊\n\n---",
        "url": "https://www.ycombinator.com/launches/KWP-centralize-demystify-customer-conversations-and-unlock-revenue",
        "votes": 106,
        "created_at": "2024-02-29T07:47:49.126Z"
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    "id": 29357,
    "name": "Salvy",
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    "all_locations": "Curitiba, PR, Brazil",
    "long_description": "Salvy is a mobile carrier for businesses in Brazil. Over 1800 companies use Salvy to manage over 20,000 mobile lines, cutting costs by over 50%.\r\nThe founders have worked many years together in Brazil's largest fintechs (Nubank and EBANX).\r\n\r\nToday, every carrier in Brazil has roughly the same network quality - it isn't a differentiator. If you're an IT manager who needs to deploy 2k lines, you want an integrated and seamless solution. You need to deploy this resource, fast. Salvy provides a software layer that makes deploying and managing mobile lines a fast and efficient process, integrated with HRIS, ERPs, and others.\r\n\r\nThis is a massive market: there are 55 million b2b mobile lines in Brazil, which adds up to 5 billion dollars in ARR in just one country. ",
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        "full_name": "Artur Negrão",
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        "full_name": "Hudo Assenco",
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        "founder_bio": "I'm a software engineer at heart and currently leading as the co-founder and CTO of Salvy, a B2B mobile carrier in Brazil. My journey in tech previously took me through roles as a software engineer at Nubank and EBANX, the latter being known for its unicorn status in  Brazil",
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        "full_name": "Maria Eduarda Kumlehn",
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        "founder_bio": "I am a results-driven professional with a strong background in revenue operations, data analytics, and sales management. Currently serving as the Chief Revenue Officer (CRO) and Co-founder at Salvy, I am responsible for driving revenue growth and overseeing the company's strategic initiatives. \n\nI believe that Salvy has the potential to revolutionize a market that has remained stagnant for years and provides a poor experience for its customers. ",
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        "full_name": "Lucas Rosa",
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        "title": "Salvy raises $1M round, with participation from Y Combinator and led by SaaSholic. | Blog da Salvy",
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        "date": "Feb 20, 2024"
      },
      {
        "title": "\n        Seu plano corporativo de telefonia parou no tempo? A Salvy quer ser uma alternativa - Brazil Journal",
        "url": "https://braziljournal.com/seu-plano-corporativo-de-telefonia-parou-no-tempo-a-salvy-quer-ser-uma-alternativa/",
        "date": "Dec 11, 2023"
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      {
        "id": 78582,
        "title": "Salvy - Simplifying Telco for businesses in Brazil",
        "tagline": "We allow more than 250 companies to easily purchase and manage their mobile lines while reducing costs.",
        "body": "We're [Artur](https://linkedin.com/in/arturnegrao), [Lucas](https://linkedin.com/in/lucas-rosa-3080b43b), [Hudo](https://linkedin.com/in/hudo-assenco), and [Duda](https://www.linkedin.com/in/mariaeduardakumlehn/), the team behind [Salvy](https://www.salvy.com.br). We're **simplifying mobile and IT management for businesses**. Our mission is to cut through the chaos of telecom and IT services in Brazil.\n\n![uploaded image](/media/?type=post&id=78582&key=user_uploads/928768/83c1a053-91c7-452f-98f5-394c85819498)\n\n# **The Problem**\n\nCompanies in Brazil are tangled in complex telecom contracts and lost in inefficiencies. It's a universal headache, especially for businesses scaling up. That's where we step in.\n\n### Customer Pains\n\n1. **Cost inefficiency.** Companies use only 30% of what they purchase and around 20% of mobile lines are unused.\n2. **No transparency.** Companies don't know who is using it, how much they are using and for what.\n3. **Companies have no autonomy to manage their lines.** The mobile operators offer a very limited platform, increasing the need for customer service.\n4. **Awful customer service.** Incumbents provide low autonomy customer service that leaves customers with no effective help.\n5. **Confusing payments.** Invoices are long and confusing. Big companies have to hire consultants to understand how much they are paying. Some customers have over 120 telecom invoices a month.\n\n# **Our Solution**\n\nSalvy simplifies how companies **purchase and manage mobile telecom, turning it into SaaS**. Our platform provides a transparent, efficient way to handle mobile lines and IT demands (such as inventory management), minus the traditional hurdles.\n\nWe use AI to read telecom invoices and help companies migrate to Salvy. In just over a year, we've acquired +250 companies and have a 322% NDR with a 0,2% churn.\n\n[https://www.youtube.com/watch?v=Io7iavc7qc0](https://www.youtube.com/watch?v=Io7iavc7qc0&t=2s)\n\n### **Our Vision**\n\nOur goal is to be the **one-stop-shop solution for all things IT**, much like Rippling IT Cloud. We're using telco as a gateway to provide other solutions such as inventory and SaaS management, using AI to empower these solutions with speed and efficiency. We believe in three strategies:\n\n1. Retention is inherent in B2B mobile telecom when you do a good job and there are no loyalty contracts.\n2. Mobile telco works as the gateway to other IT solutions for mid-sized companies\n3. If you can work as a one-stop-shop software for IT, you can build a really successful business.\n\nThank you for getting to know more about us and feel free to [reach out to us](mailto:artur@salvy.com.br) for more details!",
        "url": "https://www.ycombinator.com/launches/KRS-salvy-simplifying-telco-for-businesses-in-brazil",
        "votes": 638,
        "created_at": "2024-02-21T00:01:48.712Z"
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        "title": "GPUDeploy.com – Airbnb for GPUs",
        "tagline": "GPUDeploy is a software solution and marketplace for renting low-cost on-demand GPUs now",
        "body": "tl;dr [gpudeploy.com](http://gpudeploy.com) is Airbnb for GPUs. It is a marketplace and easy-to-integrate software for renting out the over $1bn in cheap, high-quality compute that is sitting around unused (see e.g. [gpulist.ai](http://gpulist.ai)). We are two engineers from Cambridge and ETH Zürich with experience in Robotics and Deep Learning.\n\n —\n\nHi, we’re Nico and Lukas, the cofounders of Aedilic (doing business as GPUDeploy).\n\n![uploaded image](/media/?type=post&id=80936&key=user_uploads/942043/2bc19071-a70a-48a6-9ad0-8996c9326e36)\n\nWe met in high school when we were both 14 and bonded over our interest in coding. Our first project was a [cookie-clicker game](https://soda-factory.github.io/) that we wrote during a sleepover two weeks after meeting for the first time.\n\nNico has since received a Masters in Econometrics from the University of Cambridge with a research focus on the mathematical theory of Machine Learning algorithms ([Random Forests](https://arxiv.org/abs/2403.06015), [DBSCAN](https://arxiv.org/abs/2403.14798)). Lukas holds a Masters from ETH Zürich, where he trained robot dogs at the Robotics Systems Lab, using the latest Machine Learning models. During his Masters, he wrote the official ETH Zürich [RSL open-source Reinforcement Learning “algorithms” library](https://github.com/leggedrobotics/rsl_rl/tree/algorithms). His [Master's thesis](https://arxiv.org/abs/2309.14246) was published in the highest-ranked Robotics conference (ICRA) this year.\n\n**There is a lot of cheap, high-quality, unused compute sitting around**\n\n[gpulist.ai](https://gpulist.ai) alone lists over $1bn in unrealized contract value. These are the latest Nvidia models in cutting-edge data centers, with Infiniband interconnect and perfect internet. They are cheap because nobody books them. Meanwhile, research labs and AI companies are looking for cheap, high-quality compute but will not go through unknown, unclear websites and the associated sales process. We allow them to book pre-configured GPU instances on-demand at wholesale prices that they would normally need to negotiate.\n\nWe’ve built software that makes idle GPUs in data centers accessible and super simple to book and use via our website. Data-centers and AI companies with idle compute have the option to list instances on the spot market as soon as they are available, it takes 5 minutes to set up. Unlike other solutions, our software enables fractional use of GPU boxes, so 8 GPUs can be rented out to 8 different people.\n\n**Other options are either expensive, booked out, or a pain to use**\n\nWe know how inconvenient current solutions are because we’ve dealt with them, both at university and for the previous iteration of this startup (robotics-related).\n\nFor example, Lukas, during his time at ETH, was given a blank check by his lab to book GPUs for his research. He spent the entire night with his supervisor going through Google Cloud to scrape together a few GPU instances; Google will only tell you that an H100 is unavailable in Region X **after** you configured and launched your instance. Plus, they were expensive, with an A100 SXM 40GB at $3.60/gpu/hour (compare this to $1.28 on our site).\n\n**Solution: GPUDeploy**\n\nGPUDeploy is a software solution and marketplace for renting GPUs. We have made our site simple, to the point, and opinionated - there are no hurdles between you and booking a GPU. We offer very competitive pricing and ensure that the compute instance you book is reliable and meets our benchmarks.\n\n![uploaded image](/media/?type=post&id=80936&key=user_uploads/942043/3b64efe2-a067-41d3-8d8c-039e5c80962d)\n\nWe both have a spot offering and an Airbnb-like experience for long-term bookings. We match your spot request with available compute resources that meet our standards. You can then simply connect to the machine to run your workloads.\n\nWe launched with a [Show HN](https://news.ycombinator.com/item?id=40260259) four weeks ago, which immediately got #1 and stayed on the front page for 2 days.\n\nTry it out!  \n\n**Our ask:**\n\n* If you need GPUs, try it out.\n* If you have compute, try renting it out on our site. It’s really simple (2 commands) and flexible, and we help with custom onboarding. For example, you can make a profit of \\~$3000k a year with an RTX4090. Currently, the majority of our computing is booked out. Anyone is able to add compute, but we will sort out unreliable providers immediately.\n* We collaborate with data centers. If you have a cloud with idle GPUs, reach out.\n\n\\\nMessage [nico@gpudeploy.com](mailto:nico@gpudeploy.com) or [contact@gpudeploy.com](mailto:contact@gpudeploy.com) for any questions.",
        "url": "https://www.ycombinator.com/launches/L3Q-gpudeploy-com-airbnb-for-gpus",
        "votes": 14,
        "created_at": "2024-05-17T22:23:42.882Z"
      }
    ]
  },
  {
    "id": 29360,
    "name": "Open",
    "slug": "open",
    "former_names": [
      "OpenCopilot",
      "Open",
      "Opens"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ffd914850938fa6bf113c48744141e940a90a14.png",
    "website": "https://open.cx",
    "all_locations": "Amman, Amman Governorate, Jordan",
    "long_description": "Open is an AI-powered, all-in-one customer support and communication platform — used in production by:\r\n\r\nPrint.com, Mollie.com, Viva.com, More.com, Orderchamp.com, OneCarNow.com, and other major enterprise companies.\r\n\r\nWe specialize in solving and automating complex support cases across email, web, phone, SMS, and WhatsApp.\r\n\r\nWe’re a research-based company currently working on releasing Support-Bench, the world’s most comprehensive AI customer support benchmark.\r\n\r\nOur team consists of +3 programming language builders, a nationwide cybersecurity competition winner at age 16, and a dentist.",
    "one_liner": "Enterprise AI customer support",
    "team_size": 21,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1701287911,
    "tags": [
      "Generative AI",
      "Customer Service",
      "Customer Support",
      "Conversational AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Jordan",
      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/open",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/open.json",
    "year_founded": 2024,
    "city": "Amman",
    "country": "JO",
    "linkedin_url": "https://www.linkedin.com/company/opencopilot",
    "x_url": "https://x.com/opencopilot",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/openchatai/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ffd914850938fa6bf113c48744141e940a90a14.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 939439,
        "full_name": "Mohammad Gharbat",
        "title": "Founder",
        "founder_bio": "Building Open.cx",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gharabat",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2cc05619d9bcaae8b543d1735d5cc3b33f7a422.jpg"
      }
    ],
    "jobs": [
      {
        "id": 86135,
        "title": "Enterprise Account Executive (new business), Europe",
        "url": "https://www.ycombinator.com/companies/open/jobs/waG5YFh-enterprise-account-executive-new-business-europe",
        "location": "Amsterdam, NH, NL / Amsterdam, North Holland, NL / DE / ES / Remote (Amsterdam, NH, NL; Amsterdam, North Holland, NL; DE; ES)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€80K - €190K EUR",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 86136,
        "title": "Enterprise Account Executive (new business) ",
        "url": "https://www.ycombinator.com/companies/open/jobs/JGgxRGB-enterprise-account-executive-new-business",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$230K - $300K",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Open.cx Closes $1.52M Funding Round to Disrupt Customer Support with Advanced AI Solutions",
        "url": "https://theaiinsider.tech/2025/01/13/open-cx-closes-1-52m-funding-round-to-disrupt-customer-support-with-advanced-ai-solutions/",
        "date": "Jan 13, 2025"
      },
      {
        "title": "Adriaan Mol, Mollie CEO Koen Köppen, and YC back this new AI startup: Know more  - Silicon Canals",
        "url": "https://siliconcanals.com/adriaan-mol-koen-koppen-back-open-cx/",
        "date": "Jan 13, 2025"
      },
      {
        "title": "Adriaan Mol, Mollie-ceo Koen Köppen en Y Combinator investeren samen ruim 1,5 miljoen dollar in Open.cx, een AI-tool voor customer support die is ontwikkeld door ex-Mollie-medewerker Mohammad Gharbat.",
        "url": "https://mtsprout.nl/nieuws/facebook-moeder-kapt-met-dei-initiatieven-abn-amro-wil-franse-topvrouw",
        "date": "Jan 12, 2025"
      },
      {
        "title": "Revolutionizing Customer Support: Open.cx Secures $1.52M in Pre-Seed Funding - CEOWORLD magazine",
        "url": "https://ceoworld.biz/2025/01/13/revolutionizing-customer-support-open-cx-secures-1-52m-in-pre-seed-funding/",
        "date": "Jan 12, 2025"
      },
      {
        "title": "Adriaan Mol stapt in veelbelovende AI-start-up - Emerce",
        "url": "https://www.emerce.nl/nieuws/adriaan-mol-stapt-veelbelovende-aistartup",
        "date": "Jan 12, 2025"
      }
    ],
    "launches": [
      {
        "id": 86713,
        "title": "Open - Enterprise AI Customer Support",
        "tagline": "All-in-one, truly AI-driven platform for customer support. Scale to millions while maintaining a personal touch with each customer.",
        "body": "### **tl;dr**\n\n[Open.cx](http://Open.cx) is an AI-powered, all-in-one customer support and communication platform designed for enterprises and high-growth businesses.\n\nIn the last few months, our customers have processed and resolved thousands of complex issues using our AI agents in industries like payment service providers, security, and e-commerce.\n\n<https://youtu.be/FhPEcRJV_hw>\n\nToday, Open is the only AI customer support platform in the **WORLD** that allows you to train AI agents from more than 27 sources in one click, deploy these agents on the Web (widget), email support, phone calling support, SMS, WhatsApp, Slack, and more channels (ALL AI)— while giving you very precise auto-recommendations on how to make your AI agents better. You can train these agents to solve the most complex support problems (L2 and L3 support issues and way beyond simple text answers).\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/ee8f7492-5d67-4459-924a-4a499c13995f)\n\n_(Unified AI inbox for web, email, SMS, WhatsApp, phone calls and more)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/119684d3-68a3-4284-bbaa-8d3dd2659a8d)\n\n_(Outbound support with AI phone calls, AI SMS Messages, and emails)_\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/f5409c0a-1c83-41fb-af96-f110002a971c)\n\n_(Contacts are auto-enriched with AI)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/8996c731-37f7-4f31-bc47-8c82caa46912)\n\n_(Train your AI agents with pre-made knowledge connections)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/cbf8ebd7-3ab3-402b-a61d-f366a39aca35)\n\n_(Complete control over your AI channels, settings, phone numbers and more)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/de92626c-f1db-4b0b-a9ed-8e6e39a3084c)\n\n_(Built with security in mind)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/088459d2-b6f7-4dfc-b951-8e3d07664826)\n\n(Easy-to-understand reports)\n\n### Problem\n\nThe current customer support and communication landscape is fundamentally flawed:\n\n1. **Scaling without sacrificing quality**:\n\n   Companies struggle to manage increasing ticket volumes across channels while maintaining high customer satisfaction. Adding headcount isn’t sustainable, and current tools lack the intelligence to keep up.\n2. **Fragmented and unintelligent tools**:\n\n   Businesses rely on a disconnected array of systems—one for email, another for phones, and another for chat. These tools don’t communicate, and even AI-based solutions are often limited to handling basic inquiries, leaving agents burdened with complex tasks.\n\n   Ask yourself: _How many tools did you use in 2024 to talk to your customers and to understand them better?_ We think it should be **one**.\n3. **Inadequate AI for Enterprise Needs**:\n\n   Current AI agents are optimized for basic, repetitive tasks like FAQs or simple ticket routing. They fail to handle the complexity of enterprise operations, where business rules, workflows, and logic require tailored, context-aware AI that can adapt to each organization’s unique needs. Enterprises need AI that doesn’t just automate—it understands, acts, and integrates into their processes.\n\nThis inefficiency leads to slow resolutions, frustrated customers, and rising costs.\n\n### Solution: Open.cx\n\n1. **AI at the Front Line**:\\\n   [Open.cx](http://Open.cx)’s AI manages all channels—web, phone, email, WhatsApp, chat, SMS, and Slack— fast, accurate, and consistent responses for every interaction.\n2. **Clear Handoff to Humans**:\\\n   When human intervention is needed, [Open.cx](http://Open.cx) simplifies the transition, we allow AI and human agents to collaborate effectively in a unified workspace.\n3. **Optimized for Complex Support (L2, L3)**:\\\n   We excel at handling advanced (L2 and L3) tickets, from technical troubleshooting to intricate workflows, going far beyond basic automation.\n4. **Trainable**:\\\n   We integrate with 28+ training sources (Notion, Confluence, Google Drive, Dropbox, and more), so wherever your customer support knowledge resides, we can sync it with the AI.\n5. **Enterprise-Grade Features**:\\\n   With customizable workflows, deep business logic integration, and advanced automation.\n6. **Massive Customer Understanding**:\\\n   Our **Voice of Customer (VOC)** feature provides actionable insights from every interaction, helping businesses improve products and prioritize features.\n\n### **Ask**\n\nIf your company gets more than 5,000 support tickets per month, let us know—we can help. We have a high-touch approach, and our product is super fun to work with (not my words, XD).\n\n[mo@open.cx](mailto:mo@open.cx) or [book a call.](https://cal.com/opencopilot/discovery-call-open?date=2025-01-08&month=2025-01)",
        "url": "https://www.ycombinator.com/launches/MYb-open-enterprise-ai-customer-support",
        "votes": 36,
        "created_at": "2025-01-09T15:42:53.139Z"
      }
    ]
  },
  {
    "id": 29362,
    "name": "Pazi",
    "slug": "pazi",
    "former_names": [
      "GPT Pilot",
      "Pythagora (GPT Pilot)",
      "Pythagora"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39be77a3f81a0c68f20c5bdfe6e6a34a1979d88c.png",
    "website": "https://pazi.ai/",
    "all_locations": "",
    "long_description": "Pazi enables people to build agents that run all operations in a company. You create an agent for a position (eg. developer, devops, social media manager, SDR, etc.), you give it a goal (eg. reach 10k followers on X) and let it create a plan, start checking in with you, oversee how the goal is coming up.",
    "one_liner": "Platform where autonomous companies are built",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1709274350,
    "tags": [
      "Developer Tools",
      "Security",
      "Web Development",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Senko and Zvonimir met at a startup event in 2016. when Senko was looking for someone who would lead a side project that he started. Zvonimir accepted the challenge, we turned that project into a company, and 5 years later, in 2021., we sold the company to Miro.Leon and Zvonimir have been best friends since starting college in 2009. and after the Miro acquisition, we started learning ML together and playing with different ideas. In 2023. we created our first open-source project for generating automated tests with AI and it quickly gained 1.4k Github stars. After talking to users and observing how AI is evolving, we decided to pivot to GPT Pilot, which became one of the fastest-growing open-source projects ever.While we worked on the GPT Pilot, Senko was exploring a similar idea, so finally, in October 2023. we decided to join forces and build Pythagora together."
      }
    ],
    "url": "https://www.ycombinator.com/companies/pazi",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/pazi.json",
    "year_founded": 2026,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/pazi-agi",
    "x_url": "https://x.com/pazidotai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/pythagora",
    "github_url": "https://github.com/Pythagora-io",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/39be77a3f81a0c68f20c5bdfe6e6a34a1979d88c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e7bb4b702a362554aa06087f1f0aed1b72e76498.png"
    ],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 170713,
        "full_name": "Zvonimir Sabljić",
        "title": "Founder",
        "founder_bio": "I am an engineer and a technology entrepreneur. I cofounded AWW (A Web Whiteboard), which became a major player in the online whiteboard market. AWW had 1.5M MAU, with Apple as our largest customer. In 2021, it was acquired by Miro.\n\nI created two successful open source repositories - automated testing repo that got 1.4k Github stars and now, GPT Pilot, which has over 22k stars.\n\nCurrently, I'm working on bringing software development into the AI age.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/zvonimirsabljic",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/803057e47b472c272931d6eb920cdd64309d33c9.jpg"
      },
      {
        "user_id": 1047121,
        "full_name": "Leon Ostrež",
        "title": "Founder/CTO",
        "founder_bio": "Software engineer, computer scientist (M.Sc.) and entrepreneur. Problem solving and attention to details with big persistence is my passion.\nI led the tech team at Faze Clan before they went public at $1B valuation and was a key contributor of Plex at Ericsson - the core language that handles 25% of the world's 2G and 3G network communication.\nI created two successful open source repositories - automated testing repo that got 1.4k Github stars and now, GPT Pilot, which has over 22k stars.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/leon-ostrez-b55494178",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b9f05415e358fa6c4ea514bc40840e1c268fd40.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Y-Combinator-backed Pythagora AI secures $4M for open source app development with AI - Tech.eu",
        "url": "https://tech.eu/2024/05/14/y-combinator-backed-pythagora-secures-4m-funding-revolutionizing-app-development-with-ai/",
        "date": "May 14, 2024"
      }
    ],
    "launches": [
      {
        "id": 91577,
        "title": "Pythagora: All-in-one AI development platform",
        "tagline": "Try Pythagora and transform your ideas into production ready apps!",
        "body": "### **TLDR**\n\nPythagora is an all-in-one AI dev platform that is focused on building production-ready apps that you can deploy, use, and share.\n\n[Video](https://www.youtube.com/watch?v=o1nEvwjKziw)\n\n### **Problem**\n\nWe built Pythagora after seeing too many AI-generated projects either abandoned at the first sign of trouble or trapped in endless \"fix it\" loops with no visibility into what's actually happening. Without proper logs, breakpoints, or debugging tools, users were left guessing and rebuilding repeatedly.\n\n![uploaded image](/media/?type=post&id=91577&key=user_uploads/1047121/e2ca5b1e-9f0d-40ae-b6fc-30a24cf4abfe)\n\n### **Another codegen tool?**\n\nWhile other platforms focus on the initial \"wow\" of code generation, we've designed for the complete reality of software development. Every application will face challenges when it meets real users with real data.\n\nOur key differences:\n\n1. Overview: Clear overview of the project roadmap and your current progress.\n2. End-to-end development: From project planning to deployment (our cloud backed by AWS or your own infra - take your code wherever)\n3. Tools access - Easy access to app preview, logs, and knowledge base.\n4. Real debugging tools: Breakpoints, logs, and database inspection when something inevitably breaks\n5. Full-stack architecture: Proper backend, frontend, and database relationships, not just UI demos\n\n### **Final thoughts**\n\nWe're most proud that Pythagora treats your applications as living projects, not disposable demos. The platform shines exactly where others fall short: when you need to fix, improve, and deploy what you've built.\n\nStop treating AI-generated apps as disposable. Start building applications worth maintaining, fixing, and deploying.\n\n* **Explore apps built with Pythagora:** [pythagora.ai/examples](http://pythagora.ai/examples)\n* Read case studies of users creating meaningful apps: [pythagora.ai/case-study](https://www.pythagora.ai/case-study)\n\n### [**🙏**](https://www.pythagora.ai/case-study-medical-research) Ask\n\nIf you know a company that’s looking to build internal tools, please connect us. I’d be happy to give them a demo.",
        "url": "https://www.ycombinator.com/launches/Np3-pythagora-all-in-one-ai-development-platform",
        "votes": 14,
        "created_at": "2025-06-24T14:25:35.556Z"
      },
      {
        "id": 84468,
        "title": "🧮 Pythagora - Build tools completely in natural language",
        "tagline": "Pythagora is an AI dev tool that enables humans to build production ready apps using only natural language.",
        "body": "TLDR; Pythagora is a VS Code Extension that writes all the code for the app you want to build and talks to you whenever it needs a creative decision or feedback. It is focused on building production-ready apps that you can deploy and use, so to achieve that, it keeps you, the human, in the loop throughout the entire development process. Pythagora manages the entire codebase and talks to you in natural language.\n\n### **🤨 Problem**\n\nToday, new AI dev tools come out almost weekly. While many showcase impressive demos, very few prove their worth in building real-world, production-level applications. We think that this is because they don’t put the human in the loop enough. There is a notion that apps can be built just by writing 2 sentences of what kind of an app you want, and then you just wait until AI comes back with a fully built application.\n\nWe believe that humans have to be involved in the entire process of app development to give timely feedback so that AI can make changes as it works on specific features.\n\n### **💡 solution**\n\n![](https://www.ycombinator.com/media/?type=post&id=79066&key=user_uploads/170713/2c530744-eaf9-4870-9e87-d4bfd806082d)\n\nPythagora talks to the user throughout the entire development process. First, it creates a plan for building the entire application. Then, it goes task by task, implementing each one, but before going on to the next one, it asks the user to test whether it’s working as intended. We noticed that very often, Pythagora implements a feature correctly, but users, once they see how a feature works, decide they want it to work differently.\n\n* Watch the full crash course on how to use Pythagora here: [https://youtu.be/HIIHx0kErPc](https://www.youtube.com/watch?v=4g-1cPGK0GA)\n* **Explore apps built with Pythagora:** [pythagora.ai/examples](http://pythagora.ai/examples)\n* Read case studies of users creating meaningful apps: [pythagora.ai/case-study-medical-research](http://pythagora.ai/case-study-medical-research)\n\n### [**🙏**](https://www.pythagora.ai/case-study-medical-research) **Ask**\n\nIf you know a company that’s looking to build internal tools, please connect us. I’d be happy to give them access to Pythagora v1 and do a demo.",
        "url": "https://www.ycombinator.com/launches/LyO-pythagora-build-tools-completely-in-natural-language",
        "votes": 9,
        "created_at": "2024-10-02T18:00:05.786Z"
      },
      {
        "id": 79066,
        "title": "Pythagora - First complete AI developer that builds apps by talking to you",
        "tagline": "Open source VS Code extension that enables you to build production-ready apps from scratch in 1/20th of time",
        "body": "**TL;DR** [Pythagora](https://pythagora.ai/) is not a coding assistant or an autocomplete. It’s a true AI developer that takes your requirements, asks you questions, considers what technologies to use, and creates the development plan. Then, it breaks the plan into tasks, writes code, reads the CLI, fixes bugs, iterates, reviews the code, and asks you questions to make sure it’s on the right track.\n\n### 🛤 **OUR JOURNEY**\n\n![uploaded image](/media/?type=post&id=79066&key=user_uploads/170713/273e17b6-e99a-464a-9faf-c5a223e81bb6)\n\n[Senko](https://linkedin.com/in/senkorasic) and [Zvonimir](https://linkedin.com/in/zvonimirsabljic) met at a startup event in 2016. when Senko was looking for someone who would lead a side project that he started. Zvonimir accepted the challenge, we turned that project into a company, and 5 years later, in 2021, we sold the company to Miro.\n\n[Leon](https://linkedin.com/in/leon-ostrez-b55494178) and Zvonimir have been best friends since starting college in 2009. After the Miro acquisition, we started learning ML together and playing with different ideas. In 2023, we created our first open-source project for generating automated tests, and it quickly gained 1.4k Github stars. After talking to users and observing how AI is evolving, we decided to pivot to GPT Pilot, which became one of the fastest-growing open-source projects, now with more than **22k Github stars**.\n\nWhile we worked on the GPT Pilot, Senko explored a similar idea, so finally, in October 2023, we decided to join forces and build Pythagora together.\n\n### **❌ The Problem**\n\nOk, let’s state the obvious - there’s still a huge demand for software development, which is still expensive. On the other hand, we have LLMs that are extremely good at writing code. They can write code snippets like a senior developer but if you ask them to build the full app, it will do a worse job than a junior developer. This is because building production-ready apps is not only writing code. It’s writing code, running it, debugging, iterating, changing requirements, refactoring, and many other mechanisms that developers do every day.\n\nWhile LLMs are getting smarter every single day, they will always be answering machines—they won’t have the mechanics that allow humans to iteratively progress on building an app.\n\nThe good thing is that all these mechanisms are deterministic and repetitive.\n\n### **🌟 Our Solution**\n\n![uploaded image](/media/?type=post&id=79066&key=user_uploads/170713/2c530744-eaf9-4870-9e87-d4bfd806082d)\n\nPythagora is a blueprint of what app development looks like. First, it takes your requirements and asks you questions to clarify how you want your app to look. Then, it thinks about what technologies should be used for your specific app and creates the development plan. Then, it breaks the plan into tasks, writes code, reads the CLI, fixes bugs, iterates, reviews the code, and refactors it. Before making each commit, it asks you questions to make sure that the app works exactly as you want. Finally, it proceeds this way to the next task until the entire app is finished.\n\nMany AI copilots help developers write code faster, but Pythagora goes beyond the current developer experience — we’re reimagining how software development is done.\n\n### **🙏 Asks**\n\nIf you know any company that’s looking to build internal tools, it would be amazing if you could connect us. I’d be happy to demo Pythagora to them.\n\nAlso, it would be amazing if you could share this launch on Linkedin or Twitter.\n\nFinally, join us on [Discord](https://discord.gg/HaqXugmxr9)!",
        "url": "https://www.ycombinator.com/launches/KZG-pythagora-first-complete-ai-developer-that-builds-apps-by-talking-to-you",
        "votes": 36,
        "created_at": "2024-03-05T15:19:41.894Z"
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    "long_description": "Solari gives non-technical team members access to agents that work right out of the box. ",
    "one_liner": "Gives non-technical team members agents that work right out of the box",
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Sahil Sinha",
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        "founder_bio": "Grew up between India and the UK.\nClaremont McKenna College '20. \nIntuit Rotational PM Program '20-'22\n",
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      {
        "id": 83820,
        "title": "Lytix - A single solution for the full lifecycle of LLM applications",
        "tagline": "Lytix is one control panel to observe, manage and optimize your E2E LLM stack.",
        "body": "**TL;DR: Lytix is one control panel to observe, manage and optimize your E2E LLM stack. From early model experimentation to guardrails and specific evaluations, lytix helps teams at any stage save money, move faster, and minimize tech debt.**\n\n⚠️ **The Problem**\n\n1. You want to use and experiment with multiple models, but setting up interfaces per provider/model is painful and slows you down.\n2. As your product gets more specific, tracking performance becomes more challenging as off-the-shelf metrics lack the domain context to evaluate the unique attributes _you_ care about.\n3. You want to protect your inference calls against known failures, but finding + integrating the right guardrails for your use case is time-consuming and confusing.\n4. Simple logging is great, but it gets hard to interpret and find bugs quickly, especially if you have multiple LLM tasks all being logged in a single place.\n\n**⚡ Our Solution**\n\nLytix helps teams of all sizes build faster, save money, and minimize tech debt.\n\n**Single Gateway For All Models & Providers.**\n\n1. Integrate [seamlessly](https://docs.lytix.co/Quickstart/openai-integration) with your existing stack to quickly get started.\n2. Instantly gain access to 25+ models; switching between models becomes a 1-line change.\n3. Our code is open-source, so you can always add more providers and models that are specific to you.\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/3018a6a5-f5e6-494c-9b87-e4c320e89c54)\n\n**Guardrails & Alerts**\n\n1. An intuitive and flexible framework for adding SOTA guardrails to your inference calls, and set up real-time fallback logic\n2. Configure alerts in **seconds**, to instantly get alerted when guardrails fail\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/c5e44af3-d41d-4013-8b1e-98db8c663e46)\n\n**Build Specific Evaluations**\n\n1. Easily build new eval metrics bespoke to _your_ product, factoring specific domain knowledge and context.\n2. Track how your specific evals perform over time, and easily find anomalous sessions or problematic users.\n3. Move beyond ‘feelings’, and start to quantify your results as you experiment with different configurations, model combinations and prompts.\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/9c7e0c81-06d9-4954-9036-466639cefadd)\n\n**Grouping LLM events by task**\n\n1. Instead of a single stream of logs, lytix divides your logs by the task they belong to.\n2. Debug errors faster by viewing them in the right context.\n3. Cut critical metrics (like cost, latency, error rates) by task, to answer questions like ‘what is our most expensive task?’ or “which tasks are failing the most?”\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/767653cb-a38a-4df9-a154-3f981a9246f2)\n\n**Product + LLM Insights**\n\n* Identify themes and patterns in your LLM interactions\n* Export that LLM events, with evals, to product analytic tools (such as Posthog) to combine product and LLM metrics into a single insight (i.e., cut conversation length by prompt).\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/adcfbfeb-5f0b-4560-917c-d8bcfc4c5e76)\n\n**And much more…**\n\n* Bring your own cache: own your data and save money on requests by hosting your own cache\n* Playground to test new or existing events against 25+ models\n* Cost + Token usage tracking\n* Datasets to collect events for fine-tuning\n\n🪩 **The Team**\n\nWe’ve both worked in the tech, and have known each other since high school.\n\nSahil worked as a product manager at Intuit, working on teams all over the world. For QuickBooks international, he launched localized sales tax and “send invoice via WhatsApp” increasing 91d retention, subscription rates, and invoice sends for emerging markets. He also worked on complex machine learning systems, working on matchmaking models for QuickBooks Live.\n\nSid worked at a verity of startups after college working on a breath of tasks from cybersecurity to infrastructure and devops. He was cited as an author on a state of the art cryptography [white-paper](https://eprint.iacr.org/2023/296.pdf) and has helped teams containerize and migrate infrastructure while maintaining 50,000+ active users.\n\nWe are builders at heart and believe that lytix is the future of how to build and scale LLM products.\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/feb330f8-8a93-401b-b5d2-8df9b4bf4afb)\n\n**🚀 Lytix can be used today!**\n\n* [Free to start](http://lab.lytix.co/home/login/) and use up to 100k messages.\n* We love learning about problems, if you have any in the LLM space we’d love to be helpful and [chat](https://book.vimcal.com/p/sahilsinha/30minutes-8347b)!\n* Check out our [open-source](https://github.com/Lytix-Labs/optimodel) work and get 24/7 support on our [Discord](https://discord.com/invite/u2MFEnhmv3)\n* Follow our socials on [LinkedIn](https://www.linkedin.com/company/103001009/) and [X](https://x.com/lytixai)",
        "url": "https://www.ycombinator.com/launches/Lnw-lytix-a-single-solution-for-the-full-lifecycle-of-llm-applications",
        "votes": 53,
        "created_at": "2024-09-06T17:44:22.249Z"
      },
      {
        "id": 81849,
        "title": "Lytix - Everything you need to monitor, improve and scale your LLM applications",
        "tagline": "Scale and iterate on your LLM products, with minimal changes to your code or tech stack. ",
        "body": "**Everything LLM teams need, to build something your users love. Get started **[**here**](https://www.lytix.co/)**.**\n\n![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/e9646020-5b9d-4c28-bcf8-6dfa602e31de)\n\n# The Problem ❌\n\nMonitoring and testing LLMs is notoriously challenging. Specifically:\n\n1. **Product insights & monitoring** - how can I see how different customers are using my LLM stack?\n\n   > What are users talking to my bot about? What questions are users asking my search system?\n2. **Testing** - I just made a change to my code. How can I confirm it’s making the change I intended? How can I make sure I haven’t introduced unexpected side effects?\n\n   > _Will making my bot faster make it less reliable? Will switching LLM providers make our system too slow for our customers_\n3. **E2E analytics** - Product 🤝 LLM metrics. How can I see how changes to my LLM stack are impacting my primary product metrics?\n\n   > _I just changed my RAG pipeline, is that improving my conversion rates? Which prompt gives us the best activation rate? What are high vs. low value customers talking to my bot about?_\n4. **Errors** - I’m using 4+ providers across my LLM stack, each with its own logging system and dashboard. How can I quickly view the root cause of my errors and get all the context I need in one place?\n\n**We’ve seen teams waste weeks of dev time building internal tools to solve these problems instead of building what their users want.**\n\n# The Solution 🛠️\n\nLytix brings insights, testing, and E2E analytics to your LLM stack with minimal changes to your existing codebase.\n\n# Product insights 🔎 & monitoring 👀\n\n1. Add a tracer function to any aspect of your LLM stack you’d like monitored\n\n   ![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/dc47d9d9-39f5-47ed-8fd5-035063e4ade4)\n\n2. _\\[Optional\\]_ - in the Lytix dashboard, define some ‘themes’ you’d like Lytix to start tagging your sessions as. For ex. ‘questions about math’\n\n   ![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/c660f875-f0f5-4189-b7c5-408bb2ee4b99)\n\n3. If you do not define an intent - Lytix will auto-tag each session with an intent that best summarizes the session.\n4. You can always explore previous sessions and re-configure your themes to change how they appear in your analytics stack\n\n# E2E analytics 📊 ( for ex. PostHog 🦔)\n\n1. Save your PostHog API key in your Lytix account (under settings)\n2. Whenever Lytix sees a new session, we’ll tag it (with the intents you’ve configured), and import them into Posthog with all the associated metadata\n3. In PostHog, you’ll see a “lytix_event” → this event describes your users’ sessions with your LLM stack. **Bring this into your funnel analysis, retention charts, etc., to include your LLM sessions in your product insights**\n\n   ![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/90a58a3c-03e4-4e81-9ae2-33a8d61eb6ea)\n\n\n# Errors 🚨\n\n1. Wherever you throw an error, use the new Lytix LError class.\n\n   ```\n   async def backgroundProcess():\n       logger = LLogger(\"background-logger\", {\"userId\": '124'})\n       logger.info(\"Some process is starting\")\n       raise LError(\"An unexpected error\")\n   \n   ```\n2. Anytime the error is thrown in production, you’ll find all relevant logs and metadata in your Lytix dashboard\n\n   ![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/b4373adc-92ec-487b-bef4-90e3dae98cc0)\n\n\nTo try it out yourself, head over to <https://docs.lytix.co/introduction>. You’ll also get 2 founders on deck as analysts to ask any questions about how your customers are using your products 🚀.\n\nAnd get in touch if you:\n\n1. Are about to launch - and would like to chat about best practices\n2. Recently launched - and are thinking about effective analytics and monitoring\n3. Or have a hair-on-fire problem you need to be taken care of!",
        "url": "https://www.ycombinator.com/launches/LI9-lytix-everything-you-need-to-monitor-improve-and-scale-your-llm-applications",
        "votes": 172,
        "created_at": "2024-07-01T15:33:09.746Z"
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    "id": 29364,
    "name": "Dime",
    "slug": "dime-2",
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    "website": "https://www.dimehealth.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "At Dime, we automate repetitive administrative work in healthcare clinics, including insurance coordination, referrals, referring-provider communication, scheduling, and patient communication. \r\n\r\nWe integrate directly with RIS and EHR systems, creating true end-to-end automation rather than adding another software layer. Our HIPAA-compliant AI agents eliminate paperwork bottlenecks, reduce errors, and restore hours of clinical time - enabling care teams to focus on patients.",
    "one_liner": "Dime automates administrative busywork at healthcare clinics",
    "team_size": 3,
    "industry": "B2B",
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    "launched_at": 1709929195,
    "tags": [
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        "full_name": "Ashish Bajaj",
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        "full_name": "Akash Kumar",
        "title": "Founder",
        "founder_bio": "Co-Founder of dime, the factory operating system.\n\nMy roots in Detroit—the Motor City—fuel my passion for melding technology with manufacturing. Growing up with summers in factories and a family deeply embedded in the auto industry, from my dad's factory insights to my mom's work on control systems  for Chrysler, I was fascinated by how cars come to life.",
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        "id": 94211,
        "title": "Forward Deployed Engineering Intern",
        "url": "https://www.ycombinator.com/companies/dime-2/jobs/Gk8Z0s5-forward-deployed-engineering-intern",
        "location": "New York, NY, US",
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        "role": "Engineering",
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        "salary_range": "$3 - $8 / monthly",
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        "visa": "Will sponsor",
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        "id": 94562,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/dime-2/jobs/O1bzYN2-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
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    "id": 29365,
    "name": "Ellipsis",
    "slug": "ellipsis",
    "former_names": [
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      "Ellipsis",
      "ellipsis"
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    "website": "https://ellipsis.dev",
    "all_locations": "New York City, NY, USA",
    "long_description": "Ellipsis is a cloud platform that allows engineering teams to deploy fleets of coding agents. Each agent gets an isolated sandbox, scoped permissions, and hard budget caps. Full observability included. Get started with a $100 credit at www.ellipsis.dev.\r\n\r\nYou can deploy agents for feature development, code review, and workflow automation. Creating an agent is simple: simply commit a YAML file to Github. Spawn agents from Github/Linear/Slack/etc., or via a REST API or our CLI. \r\n\r\nOrganizations get full observability and governance of their cloud coding agents.  Agent session logs are downloadable so companies own their own data.\r\n\r\nFull documentation: https://www.ellipsis.dev/docs",
    "one_liner": "Cloud platform for coding agents",
    "team_size": 2,
    "industry": "B2B",
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        "body": "**TL;DR**: [**Ellipsis**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc) is a devtool that converts technical instructions into working, tested code. Customers like PromptLayer and Warp use us to review code and fix bugs, [**and you can too**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc)!\n\n---\n\n---\n\n—\n\nHello world, [**Hunter**](https://www.linkedin.com/in/seanhunterbrooks/) and [**Nick**](https://www.linkedin.com/in/nsbradford/) here! We’re building [**Ellipsis**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc), an AI devtool that allows engineering teams to ship faster. Today, our customers use us to review pull requests and convert GitHub comments into working, tested code.\n\nBut that’s just the beginning; we’re on a mission to build the AI software engineer. Specifically, we’re automating tasks for the Full Stack Engineer role, starting in the Python and JavaScript/TypeScript ecosystem.\n\n![uploaded image](/media/?type=post&id=78871&key=user_uploads/1449858/918bc808-84a8-4fd5-b106-d4db0ced57ad)\n\n### **How does it work? 🧐**\n\nWorking with Ellipsis is like working with a remote colleague; simply tag it in Slack, GitHub, or Linear. \n\nYou can ask it to:\n\n* Create multi-file code changes from natural language requirements, such as a **bug reports** or **feature requests**\n* Review a pull request, checking for **best practices** and **custom rules**\n* Answer questions about a codebase during onboarding, development, and bug triaging\n* Create daily or weekly digests of the most important changes in your codebase\n* Automate tedious changes, such as **library upgrades** and **refactors**, to a large batch of files\n\nThe best part is that Ellipsis works in the cloud, not on your local laptop. This means developers can have Ellipsis working on multiple tedious tasks in parallel, while they handle the more complex work themselves.\n\nThe question we get most often is “does it work?”, so we invite you to start a [**7 day free trial**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc). Or [check](https://github.com/hyperdxio/hyperdx/pull/326) [out](https://github.com/jxnl/instructor/pull/467) [some](https://github.com/relari-ai/continuous-eval/pull/43) [examples](https://github.com/ion-design/numi/pull/1) from the open source community.\n\n### **About the team 🧙‍♂️**\n\n* [**Hunter**](https://www.linkedin.com/in/seanhunterbrooks/) previously created a code generation product that dynamically generated programming challenges used in technical interviews. He's worked as a ML Engineer at AWS and Amazon Ads, in addition to filling various engineering roles at companies like Brigit and Capital One. Before teaching himself to code, he published in the field of Astrophysics.\n* [**Nick**](https://www.linkedin.com/in/nsbradford/) most recently took an AI developer tool for codebase migrations from 0 to 1 as founding engineer of Grit. Previously, he researched LLM interpretability at Redwood Research, managed several teams at ML startup Hyperscience, and worked on trading algorithms at Bridgewater Associates.\n\n### **Our ask 🙏**\n\n* [**Try it out!**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc) Ellipsis will review your pull requests (and do a good job!) for 7 days **for free**.\n* Share this post with Engineering leaders interested in enforcing best practices or shipping faster.\n\nOur inbox is always open at [**team@ellipsis.dev**](mailto:team@ellipsis.dev). Here’s a blurb you can copy/paste:\n\n> [Ellipsis](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc) is an AI devtool that reviews pull requests and converts GitHub comments into working, tested code. Customers like [PromptLayer](https://promptlayer.com/) and [Warp](https://www.joinwarp.com/) use them to ship faster because they spend less time reviewing changes and fixing bugs. You can get started with a 7 day trial immediately, or [schedule time](https://cal.com/hunter-brooks/15min) for a 15 minute demo.",
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        "title": "Metofico - No-code data analysis for life science research",
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        "body": "Hello everyone, we are Mehdi and Salah, the co-founders of [Metofico](https://www.metofico.com/), and we are on a mission to simplify the analysis of complex and large data sets produced by life science research and save researchers months of work.\n\n![uploaded image](/media/?type=post&id=79483&key=user_uploads/1579715/fd599206-68e4-44cb-82b3-7478fb7d4627)\n\n_From left to right:_\n\n[Salah:](https://www.linkedin.com/in/salah-boudjadja-42a05a19b/) MSc in Data Science, Image Processing, and AI; Salah is passionate about making no-code and intuitive tools for science to extract as many insights as possible in the least amount of time.\n\n[Mehdi:](https://www.linkedin.com/in/mehdi-boutagouga-boudjadja-ph-d-553003138/) PhD in Circuit Neuroscience; Mehdi has seen many researchers struggle to analyse Gigabytes of data in Excel and missing opportunities for scientific breakthroughs. He has developed tools to make these analyses simple, and these tools are now Metofico.\n\n**The Problem: Data analysis complexity hampers life scientists, slowing down research.**\n\nThe volume and complexity of data generated by modern life science research are overwhelming. Traditional tools like Excel, once the go-to for researchers, now fall short when faced with gigabytes or terabytes of data. Moreover, most life scientists cannot program or do advanced data science, so they are stuck.\n\n**Our Solution: A no-code, intuitive SaaS platform designed specifically for life science research**\n\nOur platform transforms the way life scientists handle and analyse data, making processes that used to take weeks or months achievable in just minutes. Whether it's video tracking of rodents, fiber photometry, or any other data-intensive research, Metofico makes it simple and fast, with no programming knowledge required.\n\n![uploaded image](/media/?type=post&id=79483&key=user_uploads/1579715/b1b25a9c-9115-4d58-96fc-b2945d58647c)\n\nExample of automated segmentation of rodents using our AI\n\n**Demo:**\n\n<https://youtu.be/F4wL4szgIaE>\n\nExample of brain activity analysis using our fiber photometry analyzer\n\n**Our Ask:**\n\nWe're seeking forward-thinking life science researchers and institutions interested in streamlining their data analysis processes. If you're ready to cut down months of work to just minutes, we'd love to get in touch. Whether it's for feedback, potential partnerships, or just to say hello, your insights are invaluable to us as we strive to make Metofico even better.\n\nContact us at [info@metofico.com](https://mailto:info@metofico.com)",
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        "full_name": "Mohammed Al-arnawoot",
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        "title": "DraftAid: Automate your CAD drawings with AI!",
        "tagline": "Engineers designing everything from cars to skyscrapers use our software to turn 3D models into the detailed 2D fabrication drawings that manufacturers require.",
        "body": "# TLDR\n\nMechanical engineers and designers dedicate around 40% of their time to the labor-intensive process of converting 3D models into 2D fabrication drawings, crucial for manufacturers. Using [**DraftAid**](https://draftaid.io/), teams can automate this process with a single click and:\n\n* Save considerable time\n* Direct their focus toward more value-added tasks\n* Cut down on drawing errors, preventing expensive manufacturing mistakes\n\n# **The problem**\n\nModern design teams initiate their design by 3D modeling. To get their design manufactured, they need to make 2D drawings that look something like this:\n\n![uploaded image](/media/?type=post&id=78878&key=user_uploads/89898/590e3017-c1e8-4987-a30a-2c8469a2a8d6)\n\nMaking 2D drawings for what’s already been modeled in 3D takes up considerable time and energy. Design teams find themselves stuck investing 40% of their time in this manual task. This causes project delays while keeping talented designers busy doing repetitive tasks.\n\nLike any other repetitive manual task, making drawings can also be quite error-prone. Even with accurate designs, errors often sneak in and are only found when fixing them is an expensive endeavor.\n\n# **Enter DraftAid:**\n\nOur innovation streamlines the drafting process making it as effortless as a single click. Once engineers complete their 3D design, a single click swiftly produces a manufacturing-ready 2D drawing within seconds.\n\nThe resulting drawing is entirely editable, allowing engineers to make any necessary adjustments before sending it off for manufacturing.\n\nDraftAid allows teams to slash their current drawing time by up to 90% and eliminate common drawing errors. This not only enhances efficiency but also ensures consistency in drawings throughout the company, improving overall readability.\n\n![uploaded image](/media/?type=post&id=78878&key=user_uploads/290663/9f289b2c-ea8a-4f13-9a4e-f317ac9cd804)\n\n# **Meet the Power Trio:**\n\nWe are Mohammed, Abdullah, and Tahsin, a formidable team with a bond forged over three dynamic years of collaboration.\n\nBefore the inception of DraftAid, [**Mohammed Al-arnawoot**](https://www.linkedin.com/in/mohammed-al-arnawoot/)’s journey included roles as a software engineer and later as a VP of engineering (@ Emagin, acquired by Innovyze) and a Director (@ Dozr) in several start-ups. Navigating the challenging terrain from pre-seed to Series X.\n\n[**Abdullah Elqabbany**](https://linkedin.com/in/abdullah-elqabbany-8160551a8) is an electro-mechanical engineer who boasts a career marked by the creation of tens of thousands of drawings. Frustrated by the absence of a suitable drawing automation tool in his last role, he took matters into his own hands and built one from scratch.\n\n[**Tahsin Rahman**](https://linkedin.com/in/muhammed-tahsin-rahman) is a distinguished PhD graduate from the University of Toronto, who brings a wealth of experience in developing cutting-edge machine-learning solutions. In his previous role, he spearheaded an engineering team within the Canadian National Defence, crafting an AI-powered cybersecurity solution.\n\n# Our Ask:\n\n* Share our solution with any Construction or Automotive design companies you know.\n* Warm intros to design companies that spend a lot of time making drawings — email us at [mohammed@draftaid.io](mailto:mohammed@draftaid.io).\n* Follow us on [**Linkedin.**](https://www.linkedin.com/company/draftaid)",
        "url": "https://www.ycombinator.com/launches/KWE-draftaid-automate-your-cad-drawings-with-ai",
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    "name": "CodeAnt AI",
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    "long_description": "CodeAnt AI attacks your systems the way a real adversary would, then it walks back into your code and helps you build the defenses exactly where the attack got through.\r\n\r\nContinuous attack. Continuous defense. One self-learning platform.\r\n\r\nTrigger a free pentest No engagement fee. Pay only if we find high or critical issues; low and medium issues are free.",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/codeant-ai",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 304615,
        "full_name": "Amartya Jha",
        "title": "Founder/CEO",
        "founder_bio": "Amartya Jha, Co-Founder and CEO, CodeAnt AI, ships zero-days for fun. CVE-2026-29000, CVSS 10.0, full auth bypass in pac4j-jwt. CVE-2026-28292, CVSS 9.8, RCE in simple-git. Two of 87 zero-days he dropped across packages downloaded 1.85 billion times a month. Now, building offensive and defensive security in one self-learning system at CodeAnt AI.",
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      {
        "user_id": 438232,
        "full_name": "Chinmay Bharti",
        "title": "Founder/CTO",
        "founder_bio": "Chinmay Bharti, Co-Founder and CTO, CodeAnt AI, architected the engine behind the 100+ CVEs CodeAnt AI disclosed. Previously worked in HFTs. IIT Bombay, Electrical Engineering. Now building offensive and defensive security in one self-learning system at CodeAnt AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chinmay-bharti",
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      {
        "id": 77432,
        "title": "Account Executive (In-person in San Francisco)",
        "url": "https://www.ycombinator.com/companies/codeant-ai/jobs/ZdQvjSA-account-executive-in-person-in-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$145K - $250K",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106835,
        "title": "Account Executive (In-person in San Francisco)",
        "url": "https://www.ycombinator.com/companies/codeant-ai/jobs/GF7lDUC-account-executive-in-person-in-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "equity_range": "0.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "CodeAnt AI uncovered a critical authentication bypass using only public key that went undetected for 6 years, CVE-2026-29000.",
        "url": "https://cyberpress.org/pac4j-jwt-authentication/",
        "date": "Mar 05, 2026"
      },
      {
        "title": "Worried About AI-Generated Code? Ask AI To Review It",
        "url": "https://www.forbes.com/sites/davidprosser/2025/05/07/worried-about-ai-generated-code-ask-ai-to-review-it/",
        "date": "May 07, 2025"
      },
      {
        "title": "CodeAnt AI Raises USD 2 Mn in Seed Funding to Streamline Code Review with AI | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/news-and-trends/codeant-ai-raises-usd-2-mn-in-seed-funding-to-streamline/491291",
        "date": "May 07, 2025"
      }
    ],
    "launches": [
      {
        "id": 101960,
        "title": "CodeAnt AI - Autonomous offensive and defensive security",
        "tagline": "Find the breach before the attacker does!",
        "body": "### What we do\n\nCodeAnt AI attacks your systems the way a real adversary would, then it walks back into your code and helps you build the defenses exactly where the attack got through.\n\nContinuous attack. Continuous defense. One self-learning platform.\n\n![uploaded image](/media/?type=post&id=101960&key=user_uploads/304615/2d6a6c48-8892-4d33-9e38-a08770079ab0)\n\n\\\n\\\n[**Trigger a free pentest**](https://app.codeant.ai/) No engagement fee. Pay only if we find high or critical issues; low and medium issues are free.\n\n### Why us\n\nWe've run pentests for 200+ companies. Almost everyone had exposed PII, PHI, payment records, patient files, or critical data leaks.\n\nWe've also disclosed 100+ zero-day CVEs, affecting 1.85B+ monthly downloads, including [pac4j-jwt auth bypass at CVSS 10.0 ](https://www.codeant.ai/security-research/pac4j-jwt-authentication-bypass-public-key)and [simple-git RCE at CVSS 9.8](https://www.codeant.ai/security-research/simple-git-remote-code-execution-cve-2026-28292).\n\n### Why now\n\n**90% of modern software is embarrassingly easy to breach.**\n\nAttackers got AI. A human pentester gets 2 weeks and a scope doc. An AI adversary gets unlimited patience and parallelism, and it'll chain a forgotten subdomain to a leaked credential to a misconfigured auth API until the data is out.\\\n\\\nYour defenses? Still fighting the last war.\n\nSAST &amp; SCA tools surface 10,000 findings. The 50 that matter are buried. Pentest firms show up once a year. File a PDF and leave. You fly blind the other 363 days.\n\n![uploaded image](/media/?type=post&id=101960&key=user_uploads/304615/1c942f59-a1c1-418f-827c-7517ec157597)\n\n### How do we close it\n\nCodeAnt lives at every layer where code is written: CLI, IDE, PR, CI/CD. Then it takes what it learned and attacks.\n\n### What you get\n\n* **Blackbox** 500+ exploit agents (BOLA, IDOR, SSRF, auth bypass, etc)\n* **Whitebox** AI SAST, SCA, SBOMs, malware, business logics, etc.\n* **Graybox** Black-box + white-box fused, the full kill chain.\n* **Evidence** SOC 2, HIPAA, ISO compliant reports\n\nStart your [free pentest](https://app.codeant.ai/) here or schedule a [scoping call](https://meet.codeant.ai/meet/codeant-ai/demo)\n\n---",
        "url": "https://www.ycombinator.com/launches/QWW-codeant-ai-autonomous-offensive-and-defensive-security",
        "votes": 137,
        "created_at": "2026-05-26T14:44:33.425Z"
      },
      {
        "id": 94457,
        "title": "CodeAnt AI - Engineering metrics that show real developer impact. Deeper insights than LinearB.",
        "tagline": "Get full visibility into what every developer builds, fixes, and improves.",
        "body": "## **🏆 TL;DR**\n\nMost developer productivity tools show **numbers**, not **impact**.\\\nThey count commits and PRs but don’t explain what was _actually built, fixed, or improved_.\n\n**CodeAnt AI’s [Developer 360](https://www.codeant.ai/developer-360)** **gives you that missing visibility**,\n\n![uploaded image](/media/?type=post&id=94457&key=user_uploads/304615/7facde8e-ac94-47ee-bfdb-a479a02585c4)\n\n\\\nWe’re already enterprises and fast-growing startups, such as **Commvault, Sanas, Akasa Air, and Kore AI** to improve developer productivity.\n\n![uploaded image](/media/?type=post&id=94457&key=user_uploads/304615/4d0e4ff4-d08a-4668-b2e8-793bd7c4c317)\n\n## **❌ The Problem**\n\nEngineering dashboards today are full of **empty stats.**\n\nCurrent tools show _50 commits_ and _20 pull requests_, but you have no idea if that’s 50 critical bug fixes or just 50 formatting changes.\n\nLeaders can’t tell the difference between busy work and meaningful progress,\\\nand developers end up feeling like numbers, not contributors.\n\n## **🌟 The Solution - Developer 360**\n\nDeveloper 360 shows the _real story_ behind your codebase.\\\n\\\nCodeAnt AI reviews every pull request, getting the deepest context of your code, from features shipped to bugs fixed or risks introduced. It looks at every commit, pull request, and pipeline run to show what your team is really doing.\n\nYou’ll see:\n\n* What features were shipped\n* What bugs and security issues were fixed\n* Where reviews or builds are slowing things down\n* Who’s driving steady, high-quality progress\n\nEverything rolls up into a single, easy-to-understand view of your engineering work.\n\n**AI Developer Summaries** reports that explain what was shipped, fixed, or improved\n\n![uploaded image](/media/?type=post&id=94457&key=user_uploads/304615/a3209b2d-cb3d-4e6c-a074-8d8188cac1e2)\n\n**Throughput Comparison** benchmark developers on consistency, efficiency, and merge quality\n\n![uploaded image](/media/?type=post&id=94457&key=user_uploads/304615/e76e624e-23e8-4c8f-aa67-e3c92bdd36de)\n\n## **🙏 Our Ask**\n\n**Developer 360 is live at** [https://app.codeant.ai](https://app.codeant.ai%5C)\\\n\\\nGet started with the 14-day free trial, no credit card needed.\n\nWant a quick demo? [**Book a call here**](https://meet.codeant.ai/meet/codeant-ai/demo)",
        "url": "https://www.ycombinator.com/launches/OZV-codeant-ai-engineering-metrics-that-show-real-developer-impact-deeper-insights-than-linearb",
        "votes": 18,
        "created_at": "2025-10-08T00:31:53.063Z"
      },
      {
        "id": 77911,
        "title": "CodeAnt AI: AI Code Reviewer",
        "tagline": "Helping engineering teams cut code review time and bugs by over 50%.",
        "body": "### **PROBLEM:**\n\nCode reviews are already painful — slow, repetitive, and easy to miss bugs & security vulnerabilities. With more AI-written code, it's getting worse: bigger PRs, faster cycles, less peer context.\n\n### **Solution:**\n\n![uploaded image](/media/?type=post&id=77911&key=user_uploads/304615/f41a52cf-20a5-4a3d-8b03-94b77e822984)\n\n1. [CodeAnt AI](https://www.codeant.ai/) connects directly to [GitHub, GitLab, Bitbucket, Azure DevOps](https://app.codeant.ai/) in 2 clicks\n2. Builds deep Abstract Syntax Trees (ASTs) of your entire codebase\n3. Automatically reviews every PR for:\n   * Code quality issues\n   * Security vulnerabilities (SAST, IaC, Secrets, SCA, EOL libs, Cloud misconfigs)\n   * Best practice violations\n4. Flags exact lines and suggests one-click fixes in Pull Request\n5. Add custom rules and design best practices\n6. Integrates with [VS Code](https://marketplace.visualstudio.com/items?itemName=codeantai.codeantai) and [JetBrains IDE](https://plugins.jetbrains.com/plugin/23405-codeantai)\n7. Works fully inside your pull requests\n\nResult? [**Teams cut code review time and bugs by over 50%.**](https://www.codeant.ai/customer-story) _(Attached case studies)_\n\n![uploaded image](/media/?type=post&id=77911&key=user_uploads/304615/cf12efdd-ad6c-4c96-866a-07732fdc2021)\n\nTrack every code change in your repositories for security and quality issues — mapped to each developer — so you can stack-rank engineers, spot gaps, and drive targeted upskilling.\n\n### 💥 **About Us:**\n\nHello everyone, we are [Amartya](https://linkedin.com/in/amartya-jha) and [Chinmay](https://linkedin.com/in/chinmay-bharti).\n\n![uploaded image](/media/?type=post&id=77911&key=user_uploads/304615/197c0c2a-1764-4de7-b97b-120c80d3c9e6)\n\n[Amartya Jha](https://www.linkedin.com/in/amartya-jha/) scaled the platform & infrastructure at Zeta and ShareChat to handle millions of requests a day. Tired of bugs slipping through manual reviews, he quit to fix it at the root.\n\n[Chinmay Bharti](https://www.linkedin.com/in/chinmay-bharti/) is an IIT Bombay engineer with a master’s in AI and a second-time founder. He built systems at a high-frequency trading firm where even one bug could cost millions.\n\n![uploaded image](/media/?type=post&id=77911&key=user_uploads/304615/8fbcc8ff-703d-4946-8fae-1ca933276a4f)\n\n### **❇️ Ask:**\n\n1. Start a [**14-day Free trial**](https://app.codeant.ai/)**,** no credit card required\n2. Need a demo? [Schedule a call](https://calendly.com/codeant-ai/30min) with the founders",
        "url": "https://www.ycombinator.com/launches/KGd-codeant-ai-ai-code-reviewer",
        "votes": 54,
        "created_at": "2024-01-29T15:25:43.255Z"
      }
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    "id": 29373,
    "name": "Bilanc",
    "slug": "bilanc",
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    "website": "https://www.bilanc.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bilanc helps engineering leaders build more productive, happier teams. We use AI to analyse every line of code that is written, and our platform delivers insights that help to improve developer experience, and increase developer productivity.",
    "one_liner": "AI-Powered Engineering Productivity",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1701093428,
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    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bilanc",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/bilanc.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bilanc",
    "x_url": "https://twitter.com/bilanc_app",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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      {
        "user_id": 1530368,
        "full_name": "Samuel Akinwunmi",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Bilanc (YC W24)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/0x-s13i",
        "x_url": "https://twitter.com/SamAkinwunmi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83b7bca1444b89b3c74bb60ce4c0195d66e45799.jpg"
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    "launches": [
      {
        "id": 86712,
        "title": "Bilanc - AI Engineering Management Platform",
        "tagline": "AI to help engineering managers increase productivity",
        "body": "Hey everyone, I’m [Sam](https://www.linkedin.com/in/0x-s13i/) - Founder of Bilanc 👋\n\n# TL;DR\n\n[Bilanc](https://www.bilanc.co) integrates with your codebase and project management tools to measure and improve developer productivity. We leverage AI to help engineering leaders summarise PRs and write release notes, refine tickets with code context, and highlight performance outliers.\n\nOur AI also drafts performance reviews for your engineers in a few seconds. Watch our [demo](https://youtu.be/r9KTXY2scmA).\n\n![uploaded image](/media/?type=post&id=86712&key=user_uploads/1530368/1ae9fe1e-ebdd-417a-8237-29478d9f8435)\n\n# The Problem\n\nEven the best engineering leaders struggle to provide useful feedback to their engineers as their teams grow. Everything is hidden in git commits, ticket comments and design docs. Writing performance reviews is an arduous process that takes weeks, and most reviews can be described as lacklustre at best.\n\nUltimately, most developers are dissatisfied with the support they get from their leaders.\n\n# Our Solution: One AI platform for Engineering Management\n\nOur foundation is a powerful engineering intelligence platform that creates a knowledge graph of your codebase, on top of which we then leverage AI to uncover insights.\n\n![uploaded image](/media/?type=post&id=86712&key=user_uploads/1530368/cc08339f-57fa-4157-89d3-9b35d8811a81)\n\n* **Engineering Analytics:** Our dashboard shows velocity, quality, and security metrics, and you can even design your own custom metrics through the API.\n* **Issue Refinement:** Our AI automatically links relevant tickets, respective code changes, and highlights team members that have worked on similar tasks.\n* **Pull Request Summaries & Release Notes:** We automatically summarise every PR and Release. We also share team activity summaries directly to Slack or email.\n* **Performance Review Drafts:** We draft performance reviews, using codebase, productivity, and team collaboration context.\n\n![uploaded image](/media/?type=post&id=86712&key=user_uploads/1530368/a7c6eba5-4358-483e-82bf-881b47f7fc94)\n\n# Our Ask\n\n* [Book a demo](https://calendly.com/d/3py-rwt-k8f/bilanc-team?month=2025-01) with our team\n* Share this post with everyone (If you know a CTO, VP of Engineering, or Engineering Manager, even better!)\n* Learn more at [bilanc.co](http://bilanc.co)",
        "url": "https://www.ycombinator.com/launches/MYa-bilanc-ai-engineering-management-platform",
        "votes": 142,
        "created_at": "2025-01-09T12:32:53.118Z"
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    "website": "https://superagent.sh/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Superagent helps AI-native developers trust what they merge, control what their agents do, and show users it's safe.\r\n\r\nWe work in your coding agent and on GitHub:\r\n\r\n- Trust the change: checks on every pull request, before merge\r\n- Control it where it runs: boundaries around what your agents can see, say, and do\r\n- Break it before it ships: red teaming against what you actually run\r\n\r\nFree for open source.",
    "one_liner": "Security for AI-native developers",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1701445003,
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      "AI"
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    "nonprofit": false,
    "batch": "Winter 2024",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/superagent",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/superagent.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/superagent-sh/",
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    "github_url": "https://github.com/superagent-ai/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1367556,
        "full_name": "Alan Zabihi",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Co-founder of Superagent",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alanzabihi",
        "x_url": "https://twitter.com/alanzabihi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cea2f5bfccfffc6a14c59ed18dcfed86babdbe0e.jpg"
      },
      {
        "user_id": 80364,
        "full_name": "Ismail Pelaseyed",
        "title": "Founder",
        "founder_bio": "CTO & Co-founder of Superagent.",
        "is_active": true,
        "linkedin_url": "http://se.linkedin.com/in/pelaseyed/en",
        "x_url": "https://twitter.com/pelaseyed",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb09040fa52bace9f9b4c6c760946f7028b27257.jpg"
      }
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    "launches": [
      {
        "id": 94188,
        "title": "Superagent — Defender of AI agents 🥷",
        "tagline": "Superagent protects AI agents from attacks and data leaks",
        "body": "Hi YC 👋 We’re Alan and Ismail, founders of **Superagent (YC W24)**.\n\nWe’re building open-source **defense for AI agents**. Our product protects agents from prompt injections, malicious tool calls, and customer data leaks — in production, in CI/CD, and wherever they run.\n\n# The Problem\n\nAI agents introduce new attack surfaces that traditional security practices don’t cover:\n\n* **At runtime**: users can inject adversarial prompts that hijack an agent or force it to run harmful commands.\n* **At the model** layer: unsafe or poisoned outputs can embed backdoors into your stack.\n* **In CI/CD**: AI-generated code can contain harmful logic that slips through review and ships to production.\n\nWithout protection, agents can leak customer data or trigger destructive actions that impact your product and your users.\n\n# How Superagent Works\n\nAt the core is **SuperagentLM**, our small language model trained specifically for agentic security. Unlike static rules or regex filters, it reasons about inputs and outputs to catch subtle and novel attacks.\n\nSuperagent integrates at three key points:\n\n1. **Inference providers** — filter requests and responses at the API layer\n2. **Agent frameworks** — run runtime checks on every input, output, and tool call\n3. **CI/CD pipelines** — fail risky builds before unsafe code ships\n\nHere’s a quick example of how to use it with Exa (YC S21):\n\n![uploaded image](/media/?type=post&id=94188&key=user_uploads/1367556/35562a1a-829f-4fc0-bcc2-03952e3f58f6)\n\nEvery request is inspected in real time. Unsafe ones are blocked. Safe ones go through — with reasoning logs you can audit later.\n\n# Why We’re Building This\n\nWe’ve been working closely with builders of AI agents for the last couple of years, building tools for them. What we noticed is that many teams are basically trying to system-prompt their way to security. Vibe security (VibeSec) obviously doesn’t work.\n\nSome of the most popular agentic apps today are surprisingly unsafe in this way. So we decided to see if we could fix it. That’s the motivation behind Superagent: giving teams a real way to ship fast **and** ship safe.\n\n# Get Involved\n\n📖 [Read the docs](https://docs.superagent.sh/)\n\n📅 [Book a call](https://www.superagent.sh/)\n\nWe’d love your feedback: what’s your biggest concern about running agents in production? Book a call or drop a comment!\n\nAlan & Ismail 🥷🥷\\\n[Superagent](https://www.superagent.sh/) (YC W24)\n\n![uploaded image](/media/?type=post&id=94188&key=user_uploads/1367556/22c8addf-151e-4bf5-ade5-18f253df2bc4)\n\n",
        "url": "https://www.ycombinator.com/launches/OVA-superagent-defender-of-ai-agents",
        "votes": 14,
        "created_at": "2025-09-29T14:01:06.539Z"
      },
      {
        "id": 93541,
        "title": "Superagent — the AI Firewall 🥷🔥",
        "tagline": "Stops prompt injections, backdoors, and data leaks.",
        "body": "Hi everyone, we’re Alan and Ismail, founders of **Superagent** (YC W24).\n\nWe built the world’s first **AI Firewall** — powered by a model that sits between you and your models, protecting every request and response in real time.\n\n---\n\n## The Problem\n\nAI is quickly becoming the foundation of how software is built and used. But every time you send a prompt or receive a response, you take a risk:\n\n* Models can be tricked with prompt injections or jailbreaks\n* Sensitive data like API keys and PII can leak out\n* Malicious code or backdoors can slip through responses\n\nIf you’re building with AI or adopting third-party AI tools, you’re exposed.\n\n---\n\n## Our Solution\n\nSuperagent introduces **NinjaLM** — a small language model fine-tuned for security and safety. It runs in runtime (tens of milliseconds) and reasons about every prompt and response before it reaches your system.\n\n✅ Stops prompt injections and jailbreaks\\\n✅ Prevents secret leaks (API keys, credentials, PII)\\\n✅ Blocks malicious code before it reaches your system\\\n✅ Full audit logs, traces, and observability for compliance\n\nFrom internal apps to tools like Claude Code or ChatGPT, Superagent protects your AI without slowing you down.\n\n## https://youtu.be/GBTAs9yZiPM\n\n## Backstory\n\nBefore Superagent, we built plenty of AI apps ourselves. Each time, we ran into the same problem: adding even the most basic kind of protection was incredibly hard.\n\nTraditional firewalls are built for static rules — not reasoning. But AI isn’t static. It thinks, it adapts, and that creates a completely new class of security challenges.\n\nWe realized the only way forward was to fight fire with fire: build a model that could reason about other models, catching attacks, leaks, and malicious behavior in real time. That’s how the AI Firewall was born.\n\n---\n\n## Try It\n\nWe just launched our hosted service, and the open-source repo is live. Engineers can get started in minutes, and executives get the auditability and compliance they need.\n\n👉 [superagent.sh](http://www.superagent.sh)\\\n👉 [github.com/superagent-ai/superagent](https://github.com/superagent-ai/superagent)\n\n---\n\n## Call to Action\n\nIf you’re building or adopting AI:\n\n* Engineers — run your apps through Superagent today\n* Security teams — add prevention and compliance controls\n* Partners — we’re exploring integrations and distribution\n\nWe’d love your feedback. Links in comments.\n\n![uploaded image](/media/?type=post&id=93541&key=user_uploads/1367556/b76c2ef1-9036-484d-9564-73cecff2c9ff)\n\n---",
        "url": "https://www.ycombinator.com/launches/OKj-superagent-the-ai-firewall",
        "votes": 10,
        "created_at": "2025-09-03T14:51:00.274Z"
      },
      {
        "id": 92929,
        "title": "VibeKit 🖖 The Safety Layer for Your Coding Agent",
        "tagline": "Open-source sandboxing and observability for Claude Code, Gemini CLI, et al.",
        "body": "Hey YC! 👋\\\nWe’re building **VibeKit**, an open-source safety layer for Claude Code, Gemini CLI, and other coding agents.\n\n![uploaded image](/media/?type=post&id=92929&key=user_uploads/1367556/58ed677f-4f55-4d10-a0ef-b32fb2508117)\n\n## ❌ The Problem\n\nWe love coding with AI agents — until the day Anthropic emailed us to say they had found our API keys in a public GitHub repo and revoked them.\n\nThe leak came from our own coding agent. That’s when we realized most developers have no way to see — let alone control — what their AI agents are doing:\n\n* Which files they read or write\n* What shell commands they run\n* What data leaves their machine\n* Whether secrets get exposed in API calls\n\n## 🖖 The VibeKit Solution\n\nVibeKit is a **universal CLI wrapper** that runs any coding agent in a **local, isolated Docker sandbox**,\n\n![uploaded image](/media/?type=post&id=92929&key=user_uploads/1367556/76cf29ec-d566-42e9-861b-fad1a9bd4889)\n\nIt comes with:\n\n* **Secret redaction** before anything leaves your machine\n* **Full observability** into file changes, commands, API calls, and outbound data\n* **Offline-first**, open-source (MIT), and works with any agent — Claude, GPT-4o, Gemini, etc.\n\n![uploaded image](/media/?type=post&id=92929&key=user_uploads/1367556/20caa134-7f4a-434d-acac-6e5405eeb82b)\n\n## 💻 Try it out\n\n```\n# Install globally\nnpm install -g vibekit\n\n# Run Claude Code with VibeKit\nvibekit claude\n```\n\nThen watch _everything_ your AI is doing — safely.\n\n🎥 **Demo video:** [https://youtu.be/vDwJ4xcdRBM\\\\](https://youtu.be/vDwJ4xcdRBM%5C)\n\n📂 GitHub: [https://github.com/superagent-ai/vibekit\\\\](https://github.com/superagent-ai/vibekit%5C)\n\n📖 Docs: [https://docs.vibekit.sh](https://docs.vibekit.sh/)\n\n## 🙏 Our Ask\n\nIf you use coding agents day-to-day:\n\n* **Run them through VibeKit** — see what they’re _really_ doing.\n* Share your weirdest or most alarming finds with us — we’re building a public library of “agent fails.”\n\n💌 Contact: [founders@vibekit.sh](mailto:founders@vibekit.sh)\n\n---",
        "url": "https://www.ycombinator.com/launches/OAr-vibekit-the-safety-layer-for-your-coding-agent",
        "votes": 11,
        "created_at": "2025-08-12T19:06:49.796Z"
      },
      {
        "id": 91137,
        "title": "VibeKit 🖖 Run coding agents in a secure sandbox",
        "tagline": "Embed OpenAI Codex or Claude Code directly into your app.",
        "body": "## **Launch YC: VibeKit – Run coding agents in a secure sandbox**\n\n**Hi YC** 👋 We’re Alan and Ismail, the founders of Superagent (YC W24). We build tools for developers working with agents — especially **coding agents**.\n\nToday, we’re launching **VibeKit**, our open-source SDK that lets you run coding agents like OpenAI Codex or Claude Code safely in secure sandboxes.\n\nLocal setups work great for developing with coding agents — we’ve used them ourselves. But as soon as you want to **embed agents into your app**, **automate GitHub workflows**, or **run tasks in isolated environments**, you need something more flexible and secure.\n\n**VibeKit makes this possible.** It supports multiple sandbox providers (E2B today; Daytona, Modal, and [Fly.io](http://Fly.io) coming soon) and gives you:\n\n* ✅ Safe, isolated code execution\n* ✅ Live output streaming\n* ✅ Async run handling\n* ✅ Full prompt + code history\n* ✅ Telemetry and tracing\n* ✅ GitHub-safe automations\n\nWith VibeKit, coding agents can install packages, modify files, or create PRs — all without touching your local or production systems.\n\nhttps://youtu.be/GQaOSEbvOxM\n\nWe originally built VibeKit for internal use while developing Superagent. Since then we’ve used it to:\n\n* Embed coding agents inside apps\n* Build GitHub bots that open issues and PRs\n* Automate internal workflows (e.g. adding PostHog)\n\nNow it’s fully open source (MIT licensed) and available for anyone to use.\n\n🌐 [vibekit.sh](http://vibekit.sh) \n\n💻 [github.com/superagent-ai/vibekit](http://github.com/superagent-ai/vibekit) \n\n### 🙏 **Our Ask**\n\n* ⭐️ Star the repo\n* 🧪 Try embedding a coding agent in your app\n* 💬 Tell us what use cases it unlocked for you — email [founders@superagent.sh](mailto:founders@superagent.sh)\n\n![uploaded image](/media/?type=post&id=91137&key=user_uploads/1367556/d5bc1c0b-6a66-42b4-b75d-b28d6237e1a6)\n\n",
        "url": "https://www.ycombinator.com/launches/Nhx-vibekit-run-coding-agents-in-a-secure-sandbox",
        "votes": 18,
        "created_at": "2025-06-09T13:57:54.068Z"
      },
      {
        "id": 79352,
        "title": "🥷 Superagent - Run any workflow using AI",
        "tagline": "Open-source platform that allows anyone to build AI-agent workflows",
        "body": "_**Tl;dr:** [_Superagent_](https://superagent.sh/) makes it easy for anyone to use AI to do complex tasks. Enterprises and startups already use it for things like managing R&D projects, customer support, and market research. It's open-source, and it's designed for everyone - not just AI experts. With Superagent, businesses can save money and work smarter. [_Learn more about Superagent_](https://superagent.sh/?utm_source=yc&utm_medium=blog&utm_campaign=launch-yc)._\n\n![uploaded image](/media/?type=post&id=79352&key=user_uploads/89898/db78152a-35a4-497e-acac-55556a095c07)\n\n👋 Hello, we're [Alan](https://linkedin.com/in/alanzabihi) and [Ismail](http://se.linkedin.com/in/pelaseyed/en). Our path to Superagent started while working on an AI app, where we faced the reality of needing to build the entire tech stack and become AI experts just to perform one basic workflow. This experience led us to create Superagent, aiming to simplify AI use for everyone.\n\n## 🚨 The Problem: AI integration is complex\n\nThe reality is, integrating AI into business processes is a complex task. It usually demands teams of machine learning engineers, which is a significant barrier for many companies. Consider a business executive who sees AI as an almost unachievable goal; this perspective can lead them to miss out on the benefits AI could bring to their operations.\n\n## 🚀 Our Solution: Easy-to-build AI-agents\n\nWith Superagent, companies can build their own AI agents to perform whatever workflow they have in their business operations:\n\n* **No coding or infrastructure needed**: Configure AI agents using simple markup.\n* **Integration with Airtable**: Ideal for managing data-heavy tasks like market research.\n* **API and SDKs**: Allows embedding AI agents into any app or third-party system, including task management tools like Jira.\n\nBy choosing Superagent, companies can:\n\n* Automate complex tasks that would typically require manual effort or sophisticated programming.\n* Reduce operational costs by spending less time and fewer resources on routine tasks.\n* Gain a competitive edge by doing better work internally, but also by creating new customer experiences.\n\n## 💡 Opportunity in Enterprise\n\nTechnology, healthcare, and banking are massive sectors with data-heavy operations. Superagent's open-source model has led to bottom-up adoption from these sectors, showing validation of our approach. Join us as we tap into this massive opportunity.\n\n## 👋 How you can join in\n\n\\- Fork us on [GitHub](https://github.com/homanp/superagent)\n\n\\- Join our community on [Discord](https://discord.com/invite/mhmJUTjW4b) \n\n\\- Create your first AI workflow on our [cloud service](https://superagent.sh/?utm_source=yc&utm_medium=blog&utm_campaign=launch-yc)\n\n\\- [Contact us](mailto:alan@superagent.sh) for custom advice on your workflows",
        "url": "https://www.ycombinator.com/launches/Kds-superagent-run-any-workflow-using-ai",
        "votes": 89,
        "created_at": "2024-03-13T14:25:14.679Z"
      }
    ]
  },
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    "id": 29375,
    "name": "Preloop",
    "slug": "preloop",
    "former_names": [],
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    "website": "https://www.preloop.com",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Only 2 out of 10 ML models make it from experiment to production. Preloop helps automate the process of deployment, helping companies realize more value from their machine learning teams, while focusing teams' attention on science instead of engineering.",
    "one_liner": "Translate your experimental scripts into production ML services",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1702654646,
    "tags": [
      "Deep Learning",
      "Developer Tools",
      "Machine Learning",
      "Data Science",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/preloop",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/preloop.json",
    "year_founded": 2023,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/preloop/",
    "x_url": "https://twitter.com/preloop",
    "fb_url": "https://facebook.com/preloop",
    "cb_url": "https://www.crunchbase.com/organization/preloop",
    "github_url": "https://github.com/preloop",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/62ebbbabf82f9c9badd0bbcb60f8749d391d5a78.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1310033,
        "full_name": "Tejas Hosangadi",
        "title": "Founder/CEO",
        "founder_bio": "Tejas is the co-founder and CEO of Preloop, a product that automatically translates ML experimental scripts into production services. Before Preloop, he worked at Amazon where he scaled a data science team from 0-1, delivering 4 projects in the first year and leading the expansion of the team. He also worked as a senior MLE at EvolutionIQ, where he made significant improvements to a predictive model in his first month, helping them land a long term contract with Prudential.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/tejashosangadi",
        "x_url": "https://www.twitter.com/tejastmh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02c87a1b7a20ffb5d7fdff8f05417310d0a049b5.jpg"
      },
      {
        "user_id": 1660688,
        "full_name": "Nikith Hosangadi",
        "title": "Founder",
        "founder_bio": "Technical founder experienced in working with distributed systems and machine learning. Before Preloop, he worked as a software engineer at AWS, writing code in C and Java for the VPC team.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/nikithhosangadi",
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    "news": [],
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      {
        "id": 78894,
        "title": "➿ Preloop - Deploy your ML models in hours instead of weeks",
        "tagline": "Preloop automatically translates your experimental scripts into production ML workflows",
        "body": "**Tl;dr:** [Preloop](https://www.preloop.com/) automatically translates your ML training scripts into production services, handling the creation of the training pipeline and REST endpoints. This means that science teams can focus on developing new models while cutting deployment times from weeks to just a few hours (or less). We’re building Vercel for model deployments.\n\n—\n\nHey everyone, we’re [Tejas](https://linkedin.com/in/tejashosangadi) and [Nikith](https://linkedin.com/in/nikithhosangadi) and we’re building Preloop. Tejas previously worked as a data scientist and software engineer at several companies, including Amazon and most recently EvolutionIQ, often leading 0-1 projects on newly established teams. Nikith has experience as a software engineer building multi-tenant distributed systems, most recently working at AWS on the networking team.\n\n![uploaded image](/media/?type=post&id=78894&key=user_uploads/1310033/6f2948a3-73ad-43eb-829c-0b23006cd26b)\n\nOur goal is to unshackle scientists from the repetitive tasks that accompany their model deployments and empower science teams to move faster. \n\n## **😫 The problem**\n\nData scientists hate the work associated with deploying their models. Science teams spend anywhere from a couple of weeks to over two months deploying their models. Assuming that a team deploys 10 models a year and each model takes 2 weeks on average to deploy, this is 20 weeks of science time spent just on deployments. \n\nThe biggest bottlenecks to quick deployment are a lack of easy-to-use tools and delays caused by handing off deployments to a separate team.\n\n## **🪄 Our solution**\n\nPreloop automates the tedious and repetitive tasks associated with deploying and using your ML models, including creating the training pipeline and inference endpoints, autoscaling based on demand and retraining. We provide an easy-to-use CLI in addition to a dashboard to monitor and track your models. It works with major ML packages like xgboost, torch, and scikit-learn, with broader support on the roadmap.\n\n![uploaded image](/media/?type=post&id=78894&key=user_uploads/1310033/3a401fe4-e051-45c2-a3b9-98bd8b492abd)\n\n## **🔍 How it works**\n\nWe scan through your existing script, identifying key information about the data, transformations, and the model being trained. This is used to construct both the training and data pipelines, as well as the inference endpoints that serve your model. \n\n![uploaded image](/media/?type=post&id=78894&key=user_uploads/1310033/976dd0ad-2492-43a4-a674-eb3618536144)\n\nWe also handle auto-scaling, observability, and versioning, so that you can train and deploy, but just as easily roll back unintended model changes. We have support for on-prem deployments for teams that have stronger security requirements.\n\n## **🤔 Why are we building this?**\n\nAs a data scientist, Tejas noticed that scientists (including himself) loved experimenting and building models but hated deploying them. More importantly, he witnessed that it often took multiple weeks before they were in production. There was a lack of a more automated solution to handle the deployment process, and even tools like Sagemaker require tons of boilerplate to work.\n\nWe want to make it easier to deploy models, so that teams can move quicker, and scientists can focus more on science. \n\n## **🙏 Our ask**\n\n* Intros to data science and ML managers at mid to large-size startups as well as large enterprises. \n* If your science team struggles with lengthy deployment times, please reach out to us by emailing [founders@preloop.com](mailto:founders@preloop.com), or by booking a meeting [here](https://outlook.office.com/bookwithme/user/27ea63c6cc9c4d398ba6525a9c0e6b25@preloop.com/meetingtype/ZKpbyV0QyU2cya_WNaNuJw2?anonymous&ep=mlink).",
        "url": "https://www.ycombinator.com/launches/KWU-preloop-deploy-your-ml-models-in-hours-instead-of-weeks",
        "votes": 209,
        "created_at": "2024-02-29T16:10:32.259Z"
      }
    ]
  },
  {
    "id": 29376,
    "name": "Carma",
    "slug": "carma",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/995749b249373d88528eca173b29dc4d2d8e77da.png",
    "website": "https://www.joincarma.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Carma is building an AI-native platform that transforms fleet operations from tedious, manual work into effortless, automated workflows.\r\n\r\nWe’re the fastest-growing company in fleet management software. Carma already powers some of the largest fleets in the U.S., saving operations teams thousands of hours by eliminating busywork and keeping vehicles on the road.\r\n\r\nBacked by Soma Capital, Y Combinator, founders of Superhuman, and Tier-1 investors, we are sprinting toward a Series A in 2026.\r\n\r\nWe’re hiring the top 0.1% of engineers who want real ownership and impact—starting Day 1, you’ll build and ship fast to production for enterprise clients. Fleet operations run in real time, so your work is immediately used in the field and gets real customer feedback in hours, not months.",
    "one_liner": "The AI Operating System For Modern Fleets.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1701065445,
    "tags": [
      "B2B",
      "Workflow Automation",
      "Compliance",
      "AI",
      "Automotive"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/carma",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/carma.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/carma-com",
    "x_url": "https://twitter.com/joincarma",
    "fb_url": "https://www.facebook.com/joincarmacom",
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    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1377569,
        "full_name": "Muhammad Alasgarli",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Carma. Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/muhammadalasgarli",
        "x_url": "https://twitter.com/ceocarma",
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      },
      {
        "user_id": 1654921,
        "full_name": "Suleyman Alasgarli",
        "title": "Founder/CRO",
        "founder_bio": "Founder & Chief Growth Officer @ Carma.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/salasgarli/",
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    "jobs": [
      {
        "id": 88420,
        "title": "Founding Full-Stack Software Engineer (React / Node.js / NestJS / PostgreSQL)",
        "url": "https://www.ycombinator.com/companies/carma/jobs/YLaym2M-founding-full-stack-software-engineer-react-node-js-nestjs-postgresql",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $225K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "PostgreSQL",
          "React",
          "Docker"
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    "news": [],
    "launches": [
      {
        "id": 98918,
        "title": "Carma: We replaced fleet operations with software.",
        "tagline": "AI that runs fleet ops end-to-end, unlocking revenue and curbing costs.",
        "body": "**We scrapped our original model and rebuilt Carma as an AI-native operating system for fleet operations.**\n\nSince then, every metric has compounded.\n\n⸻\n\n**The problem**\n\nFleet maintenance is the #1 cost for companies that run vehicles.\n\nAnd it’s still managed with:\n\n* 15+ disconnected tools\n* spreadsheets\n* phone calls\n\nMillion-dollar decisions happen daily.\n\nMade by people who:\n\n* aren’t automotive experts\n* aren’t incentivized on cost\n\nSo they approve everything.\n\nManagement can’t keep up. The problem requires deep technical context. It gets ignored.\n\nAs fleets grow, complexity snowballs.\n\nThe double-effect is vicious:\n\nVehicle uptime drops while costs spiral.\n\nMargins bleed heavily.\n\n⸻\n\n**Why incumbents fail**\n\nThe incumbent software providers are 30+ year-old leasing companies.\n\nThey make money when fleets replace vehicles more often.\n\nSo real optimization works against them.\n\nTheir software reflects it:\n\n* system of record\n* not system of intelligence\n\n_In reality:_ glorified Google Drive with manual data entry.\n\nNo automation. No decisions. No leverage.\n\n⸻\n\n**What we built**\n\nCarma replaces the entire stack.\n\nOur AI system, Neo, runs fleet operations end-to-end:\n\n* automates all repetitive daily workflows\n* replaces all manual labor\n* replaces all fragmented software\n\nAnd makes optimal decisions:\n\n* verifies pricing\n* selects vendors\n* schedules maintenance\n* audits invoices\n* determines replacement timing\n\nNot when a leasing company wants to sell a new vehicle.\n\nWhen it actually makes economic sense.\n\nEvery service makes Neo smarter.\n\nCustomers don’t add Carma.\n\nThey replace everything with it.\n\n⸻\n\n**Why now**\n\nAI can finally automate judgment, not just data entry.\n\n_Before:_ hire more people or accept inefficiency.\n\n_Now:_ neither.\n\n⸻\n\n**If you’re an investor or operator in this space, email us:**\n\n[muhammad@joincarma.com](mailto:muhammad@joincarma.com) - Muhammad Alasgarli, Founder and CEO\n\n[suleyman@joincarma.com](mailto:suleyman@joincarma.com) - Suleyman Alasgarli, Founder and Chief Growth Officer",
        "url": "https://www.ycombinator.com/launches/PjS-carma-we-replaced-fleet-operations-with-software",
        "votes": 4,
        "created_at": "2026-03-19T20:33:46.461Z"
      },
      {
        "id": 76596,
        "title": "🚗Carma – Fleets get top service centers to bid for same-day service",
        "tagline": "Never overpay or wait weeks for quality vehicle service ever again.",
        "body": "![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6e469c63-fd73-4b07-a14c-c16389064f61)\n\n**tl;dr:** Carma saves fleets generates measurable P&L savings on the order of hundreds of thousands to millions of dollars on vehicle repairs and maintenance with same-day service – Carma clients get pushed to the front of the line and don’t have to wait weeks to get vehicles back on the road!\n\n**💰Referral Opportunity:** We’re offering $100 in cash for every vehicle onboarded through a warm referral to a new client. 500 vehicles = $50,000 cash referral bonus. In addition, the referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/ff0b49ed-15b5-4336-89fb-fef7553f940a)\n\nWe are also hiring top-caliber full-stack software engineers and account executives – apply [**HERE**](https://www.ycombinator.com/companies/carma/jobs) today.\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**😡The Problem: Fleets HATE getting vehicle repair!**\n\nIt’s a time-draining hassle to get vehicle repair for fleets – a lack of price transparency makes U.S. fleets lose $37 billion each year due to improper or unnecessary vehicle repairs. Based on recent industry statistics, service centers overcharge fleets 85% of the time, leaving fleets overpaying an average of 68% more than what they actually should based on the fair cost of service. The worst part: there’s not much the average fleet management team can do – most fleets rely on minimal spares and don’t have the time to price shop for quotes. 80% of fleet managers don’t know what fair auto repair pricing looks like for non-routine repairs.\n\n**💲The Solution: Carma**\n\nCarma gets fleets prioritized same-day service offers with guaranteed, locked-in pricing. Fleet managers request any service they need through Carma, which we send to our highly rated and vetted local service center Partner Centers, who respond with real-time offers. Fleet can compare multiple same-day service offers in just 60 seconds or less. Carma handles the transaction with zero fees – no marked-up prices or “convenience” charges – you pay the service center’s in-store price or better.\n\nFleets save upwards of 50% when they use Carma vs. the median price for the same service in their zip code. It takes just 30 seconds to add a car to your profile and request service.\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/179a2ad1-4d43-4195-8951-dcba9afe1f1c)\n\n👨‍👩‍👧‍👦**Meet the TEAM**\n\nWe are setting a new standard in automotive service to make pricing transparent and the entire process hassle-free.\n\nCarma was founded by a team of automotive experts with deep technical domain expertise from the most prominent industry leaders, with a combined 120+ years of experience in the automotive service industry:\n\n* [**Muhammad Alasgarli**](https://www.linkedin.com/in/muhammadalasgarli/) **- Co-Founder & CEO.** Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.\n* [**Suleyman Alasgarli**](https://www.linkedin.com/in/suleyman-alasgarli-6a54b1147/) **- Co-Founder & Head of Revenue.** Prior to joining Carma, Suleyman led operations for a portfolio of commercial and residential real estate investments and served as Operations Director for a prominent dental care chain, where he managed the entire sales pipeline end-to-end. Suleyman studied biology and chemistry with an emphasis in biomedical science at the University of Missouri - Kansas City.\n* **Alan Kennedy - Vice President of Sales.** Alan spent 36 years at Hunter Engineering Company, most recently as an International Regional Manager for the Asia-Pacific region and previously as a U.S. sales representative for Hunter Engineering’s sales territories in Texas and Oklahoma, specializing in undercar service equipment sales to independent automotive service centers and dealerships, with extensive experience in direct sales to both single-location and large-chain service facilities.\n* [**Doug Felt**](https://www.linkedin.com/in/doug-felt-63a30911/) **- Technical Product Manager and Subject Matter Expert.** Prior to joining Carma, Doug spent 46 years in automotive service: 32 years at Hunter Engineering Company as a Technical Training Manager and Subject Matter Expert, where he managed a portion of Hunter Engineering's training department supplying training to automotive and heavy truck technicians using over 35 satellite training centers nationally; including wheel alignment, balancing, tire changing, brake lathe operation, and counter sales training. Doug also managed training partnerships with Audi/Volkswagen, Bridgestone, Goodyear and a variety of other industry leaders. Before this, Doug spent 7 years as a Shop Manager at Hood’s Automotive and 7 years as a service technician and instructor in the U.S. Air Force.\n\n**💰Our Offer to You**\n\nOur sales process is supercharged by personal introductions, so any fleets whose owners or operational managers who you know or could introduce us to would be **very valuable**.\n\nIf you have a relationship with the C-Suite, owner, operations executive, or anyone else at business that owns cars – anything from HVAC, plumbing, pest control, landscaping, construction, cleaning & restoration, electrical contracting, sanitation, etc. – please give us a three-way intro over text or email (Muhammad, **636.293.5254 or** [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com)):\n\nFor each vehicle onboarded through your warm referral to a new fleet client, we will wire you $100 in cash. 500 vehicles = $50,000 cash referral bonus. In addition, your referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🙋Open Letter to Fleets**\n\nDear fleets, please give us your feedback if you think anything can be improved in our user interface or user experience so we can deliver the most fluid customer journey possible. No forms, just call or text me (Muhammad, CEO) on my cell and give me direct feedback: (**636.293.5254**). You can also email your feedback to me at [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com) – I read and respond to every user.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**Cities where Carma is live now: St. Louis, MO; Kansas City, KC; Oklahoma City, OK; Springfield, MO; Nashville, TN; Dallas, TX; Houston, TX; and Phoenix, AZ.**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/eafb09ec-394c-4a76-ab81-3edeacbd1ac2)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/fc1d8f92-25f7-4a9e-a501-e581f59076d5)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/57555baa-2c14-41fb-940e-1a9771ad01d4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9a324fb6-ede3-47b6-81d4-5da948b9b41e)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6f335e2a-048c-45be-ae05-4ac410feffe7)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9b7197ff-318b-4900-b00a-6afbf72ebcc6)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/0867d4e2-2d89-4f03-9e5d-bb52874c16f4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/077bba8c-e540-4ced-a563-16d0dd271efa)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/d41e738c-53c5-484e-8b13-a325c7758519)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/1ec14d2f-a0ea-430a-be7a-7fc5cb12234b)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/65bb4dd4-32b2-4600-9724-87803ea5f44a)\n\n",
        "url": "https://www.ycombinator.com/launches/JvQ-carma-fleets-get-top-service-centers-to-bid-for-same-day-service",
        "votes": 21,
        "created_at": "2023-12-01T22:39:47.302Z"
      }
    ]
  },
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    "id": 29377,
    "name": "Toma",
    "slug": "toma",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c720ae0d8e011f3d717a623f88d12d48f2a84c.png",
    "website": "http://www.toma.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "AI Applied Research",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1702419018,
    "tags": [
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    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
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    "url": "https://www.ycombinator.com/companies/toma",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/toma.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tomavoice/",
    "x_url": "https://twitter.com/toma_voice",
    "fb_url": "https://www.facebook.com/tomavoiceai",
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    "github_url": "https://github.com/toma-so/toma",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c720ae0d8e011f3d717a623f88d12d48f2a84c.png",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 92912,
        "full_name": "Monik Pamecha",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO at Toma",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/monikp",
        "x_url": "https://twitter.com/monikkinom",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/56ce271920b124dc06b81841d029159e118ab97e.jpg"
      },
      {
        "user_id": 416691,
        "full_name": "Anthony Krivonos",
        "title": "Founder",
        "founder_bio": "Co-founder @ Toma",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anthonykrivonos",
        "x_url": "https://twitter.com/blandthony",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8bf89d456fa5f911d7ec946fe688db1da1d8917f.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Car Dealerships Are Replacing Phone Staff With AI Voice Agents",
        "url": "https://futurism.com/car-dealerships-ai-voice",
        "date": "Jun 08, 2025"
      },
      {
        "title": "Holman invests in Toma's dealership call automation platform - Automotive News",
        "url": "https://www.autonews.com/retail/an-toma-raises-17-million-0605/",
        "date": "Jun 05, 2025"
      },
      {
        "title": "Toma’s AI voice agents have taken off at car dealerships -- and attracted funding from a16z | TechCrunch",
        "url": "https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/",
        "date": "Jun 05, 2025"
      }
    ],
    "launches": [
      {
        "id": 92511,
        "title": "Toma, an AI Platform for the $2T Automotive Industry",
        "tagline": "Toma is on a mission to build world-class communication and support tools for America's high ticket industries, starting with automotive.",
        "body": "### **Next-Gen Voice AI in a $2T Industry that Silicon Valley Overlooks**\n\nWe’re thrilled to share that Toma [**raised a $17M Series A**](https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/), led by **Andreessen Horowitz (a16z)**, who chose us after vetting every voice AI company in automotive. The wild part is that we got here through just word-of-mouth sales, without a sales team, and now power **hundreds of customers** across the U.S.\n\nSince graduating from YC, we’ve gone knee-deep into a trillion-dollar industry historically neglected by Silicon Valley––automotive dealerships. We’ve spent half a year **living in them** to learn how they communicate with their customers, run their day-to-day operations, and provide both great and (usually) not-so-great customer experiences. To put it simply, **things are broken**.\n\nSo we built AI agents that fix it by:\n\n* Deploying **personalized agents**\n* **Automating inbound calls** with a low-latency, natural-sounding voice AI\n* Running **outbound SMS** campaigns that generate new revenue\n* **Deeply integrating** with automotive-specific software\n* Offering **insights and reporting** into every AI/customer interaction\n* Intelligently **alerting customers** when human intervention is needed\n\nWe’re now the **fastest-growing** AI platform in automotive, and we’re just getting started.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/65a56669-51b7-40ff-ad8e-4c443df5a09c)\n\n### **From YC Hack Project to Must-Have AI Employee**\n\nWe started Toma as **two engineers** ([Monik](https://www.linkedin.com/in/monikp/) & [Anthony](https://www.linkedin.com/in/anthonykrivonos/)) who didn’t want to build another generic chatbot. We flew around the country, shadowing advisors in hot service bays, listening to call recordings, and mapping dealership workflows in Figma. We **wrote code inside dealerships** as bugs and feature ideas were discovered alongside our users.\n\nWe took a YC prototype and turned it into a real product. Today, dealerships such as [Martin Management Group](https://www.toma.com/resources/case-study/how-ai-doubled-operational-margins-for-martin-management-group) and [Middletown Honda](https://www.toma.com/resources/case-study/how-toma-helps-middletown-honda-save-100k-annually) rely on Toma to handle **tens of thousands of calls** monthly. Calls that were previously missing entirely or requiring thousands of dollars to outsource to call centers.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/3a60abaf-e5fd-437a-8b4c-f38d911f215e)\n\n### **The Results Are Wild**\n\n* **Martin Management Group:** 9,000 service appointments booked in 90 days. $2M+ in revenue. 40% reduction in BDC workload.\n* **Middletown Honda:** 53% of inbound calls handled by AI. $100K+ saved annually. Zero missed calls during recall events.\n* **Nationwide:** Over 1 million call minutes handled by Toma since launch. Hundreds of thousands of hours of human time saved.\n* **Growth:** Surpassed 7-figures in ARR in less than one year while approaching 8 figures with over 100 dealerships using Toma across the U.S.\n\nThe best part is that vehicle owners love it, dealers love it, and Original Equipment Manufacturers (OEMs) love it because **Toma works very well**.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/85178e79-dde7-4ec7-b19e-b28691d601a4)\n\n### **Why This Industry Matters (and Why It’s Underserved)**\n\nCars are essential to how Americans live, work, and move, and they’re getting older. The average vehicle on the road is 12.6 years old. That means **more maintenance, more service calls, and more pressure** on dealerships to deliver better experiences.\n\nSilicon Valley has historically **ignored this space**. It’s messy, full of edge cases, and utilizes antiquated software, requiring a deep understanding of real-world operations. **That’s where we thrive.** We see a gold rush in how AI can revolutionize the automotive retail industry.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/e94c67ce-14f4-4b8a-8648-3b105052b1d9)\n\n### **Why This Industry is Just the Beginning**\n\n**Automotive** is one of many high-ticket, operationally complex industries in the U.S.—alongside insurance, home services, logistics, and healthcare—where communication is still largely **manual**, software is **legacy**, and workflows are deeply **idiosyncratic**.\n\nThese industries are slow-moving but massive, with billions of dollars lost every year due to inefficiencies. While we’re laser-focused on fixing communication in dealerships, Toma is **building the horizontal foundation for deploying production-grade AI assistants** across every high-value, high-friction service industry. We believe the future of operations will be AI-augmented, and we’re laying the rails.\n\n### **The Tech**\n\n**In-house**, we have built:\n\n* A SOTA **voice AI orchestration** pipeline\n* **Dynamic integration platform** for connecting to legacy software\n* Production-grade **agentic workflow** engine\n* **Agent evaluation** pipelines\n* **Prompt management** tools that allow us to support hundreds of customers as a 3-person ops team\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/2c4115f8-a2bf-433b-b7f3-30f4fa6ca0c3)\n\n### **Our Culture: Builders First, Always**\n\nToma was **built by engineers**, and we hire technically-minded people across all responsibilities. We move quickly, fix things, and build from the ground up. We care deeply about real-world impact and meticulous attention to detail.\n\nWe’re backed by Andreessen Horowitz, Y Combinator, Scale Angels, Flex Capital, Holman Automotive, and more. But more than anything, we’re backed by many of our own dealerships and their staff, who trust us to communicate with their customers.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/9eeaaa4c-ba17-4927-82b9-230c362a3684)\n\n### **Who We're Looking For**\n\nYou might be a fit if you:\n\n* Want to build **cutting-edge AI features** and work on SOTA everything\n* Are **disillusioned by AI slop** products and want to solve real-world problems\n* Want **excessive ownership** of critical systems and infrastructure\n* Have a **high bar of excellence** and want to work with people who match your energy\n\nIf you’re curious, please join us in building the future of AI-powered automotive retail operations. We’re a small team, but we punch above our weight and are having a blast doing it.\n\n👉 [www.toma.com/jobs](http://www.toma.com/jobs)",
        "url": "https://www.ycombinator.com/launches/O47-toma-an-ai-platform-for-the-2t-automotive-industry",
        "votes": 7,
        "created_at": "2026-02-07T06:49:05.753Z"
      },
      {
        "id": 92512,
        "title": "Toma: AI Platform for the $2T Automotive Industry",
        "tagline": "Toma is on a mission to build world-class communication and support tools for America's high ticket industries, starting with automotive.",
        "body": "### **Next-Gen Voice AI in a $2T Industry that Silicon Valley Overlooks**\n\nWe’re thrilled to share that Toma [**raised a $17M Series A**](https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/), led by **Andreessen Horowitz (a16z)**, who chose us after vetting every voice AI company in automotive. The wild part is that we got here through just word-of-mouth sales, without a sales team, and now power **hundreds of customers** across the U.S.\n\nSince graduating from YC, we’ve gone knee-deep into a trillion-dollar industry historically neglected by Silicon Valley–– automotive dealerships. We’ve spent half a year **living in them** to learn how they communicate with their customers, run their day-to-day operations, and provide both great and (usually) not-so-great customer experiences. To put it simply, **things are broken**.\n\nSo we built AI agents that fix it by:\n\n* Deploying **personalized agents**\n* **Automating inbound calls** with a low-latency, natural-sounding voice AI\n* Running **outbound SMS** campaigns that generate new revenue\n* **Deeply integrating** with automotive-specific software\n* Offering **insights and reporting** into every AI/customer interaction\n* Intelligently **alerting customers** when human intervention is needed\n\nWe’re now the **fastest-growing** AI platform in automotive, and we’re just getting started.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/65a56669-51b7-40ff-ad8e-4c443df5a09c)\n\n### **From YC Hack Project to Must-Have AI Employee**\n\nWe started Toma as **two engineers** ([Monik](https://www.linkedin.com/in/monikp/) & [Anthony](https://www.linkedin.com/in/anthonykrivonos/)) who didn’t want to build another generic chatbot. We flew around the country, shadowing advisors in hot service bays, listening to call recordings, and mapping dealership workflows in Figma. We **wrote code inside dealerships** as bugs and feature ideas were discovered alongside our users.\n\nWe took a YC prototype and turned it into a real product. Today, dealerships such as [Martin Management Group](https://www.toma.com/resources/case-study/how-ai-doubled-operational-margins-for-martin-management-group) and [Middletown Honda](https://www.toma.com/resources/case-study/how-toma-helps-middletown-honda-save-100k-annually) rely on Toma to handle **tens of thousands of calls** monthly. Calls that were previously missing entirely or requiring thousands of dollars to outsource to call centers.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/3a60abaf-e5fd-437a-8b4c-f38d911f215e)\n\n### **The Results Are Wild**\n\n* **Martin Management Group:** 9,000 service appointments booked in 90 days. $2M+ in revenue. 40% reduction in BDC workload.\n* **Middletown Honda:** 53% of inbound calls handled by AI. $100K+ saved annually. Zero missed calls during recall events.\n* **Nationwide:** Over 1 million call minutes handled by Toma since launch. Hundreds of thousands of hours of human time saved.\n* **Growth:** Surpassed 7-figures in ARR in less than one year while approaching 8 figures with over 100 dealerships using Toma across the U.S.\n\nThe best part is that vehicle owners love it, dealers love it, and Original Equipment Manufacturers (OEMs) love it because **Toma works very well**.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/85178e79-dde7-4ec7-b19e-b28691d601a4)\n\n### **Why This Industry Matters (and Why It’s Underserved)**\n\nCars are essential to how Americans live, work, and move, and they’re getting older. The average vehicle on the road is 12.6 years old. That means **more maintenance, more service calls, and more pressure** on dealerships to deliver better experiences.\n\nSilicon Valley has historically **ignored this space**. It’s messy, full of edge cases, and utilizes antiquated software, requiring a deep understanding of real-world operations. **That’s where we thrive.** We see a gold rush in how AI can revolutionize the automotive retail industry.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/e94c67ce-14f4-4b8a-8648-3b105052b1d9)\n\n### **Why This Industry is Just the Beginning**\n\n**Automotive** is one of many high-ticket, operationally complex industries in the U.S.—alongside insurance, home services, logistics, and healthcare—where communication is still largely **manual**, software is **legacy**, and workflows are deeply **idiosyncratic**.\n\nThese industries are slow-moving but massive, with billions of dollars lost every year due to inefficiencies. While we’re laser-focused on fixing communication in dealerships, Toma is **building the horizontal foundation for deploying production-grade AI assistants** across every high-value, high-friction service industry. We believe the future of operations will be AI-augmented, and we’re laying the rails.\n\n### **The Tech**\n\n**In-house**, we have built:\n\n* A SOTA **voice AI orchestration** pipeline\n* **Dynamic integration platform** for connecting to legacy software\n* Production-grade **agentic workflow** engine\n* **Agent evaluation** pipelines\n* **Prompt management** tools that allow us to support hundreds of customers as a 3-person ops team\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/2c4115f8-a2bf-433b-b7f3-30f4fa6ca0c3)\n\n### **Our Culture: Builders First, Always**\n\nToma was **built by engineers**, and we hire technically-minded people across all responsibilities. We move quickly, fix things, and build from the ground up. We care deeply about real-world impact and meticulous attention to detail.\n\nWe’re backed by Andreessen Horowitz, Y Combinator, Scale Angels, Flex Capital, Holman Automotive, and more. But more than anything, we’re backed by many of our own dealerships and their staff, who trust us to communicate with their customers.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/9eeaaa4c-ba17-4927-82b9-230c362a3684)\n\n### **Who We're Looking For**\n\nYou might be a fit if you:\n\n* Want to build **cutting-edge AI features** and work on SOTA everything\n* Are **disillusioned by AI slop** products and want to solve real-world problems\n* Want **excessive ownership** of critical systems and infrastructure\n* Have a **high bar of excellence** and want to work with people who match your energy\n\nIf you’re curious, please join us in building the future of AI-powered automotive retail operations. We’re a small team, but we punch above our weight and are having a blast doing it.\n\n👉 [www.toma.com/jobs](http://www.toma.com/jobs)",
        "url": "https://www.ycombinator.com/launches/O48-toma-ai-platform-for-the-2t-automotive-industry",
        "votes": 15,
        "created_at": "2025-07-28T17:47:22.350Z"
      },
      {
        "id": 77697,
        "title": "🪄 Toma automates your phone calls with AI ✨",
        "tagline": "Voice AI Agents to handle phone calls and perform tasks for your business",
        "body": "### **TLDR;**\n\n[**Toma**](https://toma.so/) offers AI Agents that can autonomously handle phone calls for your business.\n\n🗣️ A natural-sounding voice experience over the phone\\\n🪄 A simple way to design call flows and manage AI agents\\\n🧩 Easy integration into your existing software to pull information and perform tasks on/off call\n\nToma is live and automating calls for companies in industries ranging from healthcare to automotive.\n\n### **Problem**\n\nCustomers call businesses expecting a superior experience over other channels. Instead, they have to put up with:\n\n❌ Long wait times\\\n❌ Repeated transfers to different agents without any context\\\n❌ Robotic call flows (read: Press 1 for English.. Sorry.. I didn’t catch that... Let me repeat the options)\n\nBusinesses find phone call operations **labor-intensive**, **expensive**, **inconsistent in quality**, and **hard to scale**.\n\nThe main challenges for businesses include:\n\n* Training agents\n* Ensuring quality and consistency across calls\n* Access control & compliance\n\n### **Our Solution:** [**Toma**](https://toma.so/)\n\n[**https://www.youtube.com/watch?v=p5SvyAHtyyU**](https://www.youtube.com/watch?v=p5SvyAHtyyU)\n\n* **Realistic call experience**: customizable human-like voices with low latency tested in noisy, real-world environments\n* **Integrations**: integrate with your CRM, knowledge bases, and third-party software to pull and push data\n* **Observability**: monitor calls with recordings, summaries, and granular analytics\n* **Live 24/7**: always on, no breaks\n* **Transfer**: intelligently transfer to humans if needed\n\n![uploaded image](/media/?type=post&id=77697&key=user_uploads/92912/75ed5b30-3ec8-4de2-a6af-9d53e9d84c7e)\n\n### **TEAM**\n\nWe’re Monik & Anthony. We’re best friends who have worked together and known each other for many years.\n\nWe believe that voice will be the best way for consumers to interact with AI in the future. The ubiquity of phones, advancements in AI, and the friction of traditional interactive voice systems have set the industry up for disruption.\n\nWe have extensive experience building large-scale customer messaging software, LLM applications, and conversational AI working at Scale, Uber, Lyft, and Braze, and we believe we can make the experience 10x better.\n\n### **Asks:**\n\n* If your business makes or receives phone calls, please set up a call with us [**here**](https://www.toma.so/contact) if you’d like to explore automation\n* Intros to any businesses that run their own call centers or outsource those operations (you can reach us at [founders@toma.so](mailto:founders@toma.so))",
        "url": "https://www.ycombinator.com/launches/KDB-toma-automates-your-phone-calls-with-ai",
        "votes": 22,
        "created_at": "2024-01-22T16:50:46.263Z"
      }
    ]
  },
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    "id": 29379,
    "name": "Trieve",
    "slug": "trieve",
    "former_names": [
      "Arguflow"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e020de4d43f09ae8fc176bd79fd704be218893b7.png",
    "website": "https://trieve.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Infrastructure for search teams building retrieval and RAG. Trieve combines search language models with tools for tuning ranking and relevance.\r\n\r\nBuilding excellent search is difficult and can take months to implement then even more time to maintain. Trieve offers production-ready infrastructure that works out of the box to help search teams build adjustable AI search and RAG into their products. With tools for custom models, relevancy weighting, date-recency biasing, semantic full-text hybrid search, recommendations, and more Trieve covers the full spectrum of what a team wants from their discovery infrastructure. ",
    "one_liner": "All-in-one API for search, RAG, & recommendations",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1709233497,
    "tags": [
      "Developer Tools",
      "Open Source",
      "API",
      "Search",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Power every retrieval experience on the internet"
      }
    ],
    "url": "https://www.ycombinator.com/companies/trieve",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/trieve.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trieveai/",
    "x_url": "https://twitter.com/trieveai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/devflowinc/trieve",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1655076,
        "full_name": "Nick Khami",
        "title": "Founder/CEO",
        "founder_bio": "Find me at https://github.com/skeptrunedev . My primary hobbies are reading progression fantasy, riding motorcycles, and running. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nicholas-khami-5a0a7a135",
        "x_url": "https://twitter.com/skeptrune",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b50f2ec9e0f2ceff369f57009958e67d682ca5c.jpg"
      },
      {
        "user_id": 1655175,
        "full_name": "Denzell Ford",
        "title": "Founder/CTO",
        "founder_bio": "Find me at https://github.com/cdxker. I'm mostly active on x",
        "is_active": true,
        "linkedin_url": "https://linkdin.com/in/denzell-ford",
        "x_url": "https://twitter.com/cdxker",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd5cbf22ed11a4cfd6f8c6a76af57272a04a0299.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Trieve Secures $3.5M to Power AI Search and RAG — Trieve",
        "url": "https://trieve.ai/trieve-fundraise-announcement/",
        "date": "Sep 11, 2024"
      }
    ],
    "launches": [
      {
        "id": 78949,
        "title": "Trieve 🔎 Infrastructure for search teams",
        "tagline": "We want to power every search bar on the internet.",
        "body": "Howdy, y’all!\n\nWe’re [Denzell](https://linkedin.com/in/denzell-ford) and [Nick](https://github.com/skeptrunedev), founder engineers of [Trieve](https://trieve.ai/).\n\n![uploaded image](/media/?type=post&id=78949&key=user_uploads/1655175/c03dd5a8-16e9-4d39-8885-fdbb3d7e0626)\n\n**Trieve offers source-available all-in-one infrastructure for entire search teams. Engineers implement a pipeline that connects their data source to our backend then non-technical staff can fine-tune relevance using included frontends.**\n\nCustomers have the option to either **(1)** use the managed cloud version of the software suite or **(2)** buy a license to host it themselves in their own cloud or on-premise.\n\nWe want to power every search bar on the internet.\n\n### Problem - Poor search quality, lack of modularity, inaccessibility\n\n1. Engineers first have to build APIs on top of DBs and AI models which then need to be maintained, scaled, and improved.\n2. Engineers then need to build UI's for tuning which then need to be maintained, scaled, and improved.\n3. Improving retrieval quality requires hiring more engineers such that you have enough bandwidth to both maintain and improve your custom and complex infrastructure.\n4. Ineffective spend of your search budget as you have to hire engineers to build and maintain things before you can even start adjusting retrieval quality.\n\n### Solution - Quality retrieval & source-available license\n\nTrieve provides a complete infrastructure suite that is both easy for a single engineer to integrate and allows businesses to hire more non-technical staff who can use the included front-end tools for fine-tuning relevance.\n\nWith Trieve's solution, businesses can get more value out of their search budget whether it's $10k or $10M.\n\n### WE have two asks!\n\n1. Could you introduce us to developers and teams building search and relevancy into their products?\n2. [Can you star our GitHub](https://github.com/devflowinc/trieve)?\n\n![uploaded image](/media/?type=post&id=78949&key=user_uploads/1655175/b72dc26d-867b-4637-8df5-111b2f869fa0)\n\n### About us\n\nDenzell and I are software engineers who walked into this problem trying to build semantic search for a knowledge management system that helped business teams argue better.\n\nWhen we went to go sell the arguing app we found out that the underlying search infrastructure was what people really wanted to buy.\\\n\\\n[founders@trieve.ai](https://mailto:founders@trieve.ai)",
        "url": "https://www.ycombinator.com/launches/KXN-trieve-infrastructure-for-search-teams",
        "votes": 137,
        "created_at": "2024-03-01T18:52:01.827Z"
      }
    ]
  },
  {
    "id": 29380,
    "name": "Conduit",
    "slug": "conduit-ai",
    "former_names": [
      "HostAI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b7203ae9cb780218b08e159ff4d1da47aae0c79a.png",
    "website": "https://conduit.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Conduit is the leading AI agent platform for hospitality operations.\r\n\r\nOperators can create, test, and run AI agents on Conduit's harness purpose built for hospitality. On-brand agents handles the full guest journey, converting inquiries into bookings and driving upsell revenue, then runs internal operations and surfaces insights for leadership. All connected to the systems operators already use. \r\n\r\nTrusted by over 1000+ global hospitality brands across 120+ countries.",
    "one_liner": "AI Agents for Hospitality",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1707775068,
    "tags": [
      "Travel",
      "Customer Service",
      "Operations"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/conduit-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/conduit-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/useconduitai",
    "x_url": "https://www.x.com/conduitai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b7203ae9cb780218b08e159ff4d1da47aae0c79a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02e4360e00d9e1ae8f1449e6ac1eec238a6457d9.png"
    ],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1382533,
        "full_name": "Cole Rubin",
        "title": "Founder/CEO",
        "founder_bio": "real estate & tech",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/colerubin",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1436666376a0a2c6af04d6fbe54192f691171593.jpg"
      },
      {
        "user_id": 1073248,
        "full_name": "Punn Kam",
        "title": "Founder/CTO",
        "founder_bio": "Agents that run the built world. ex-Google, prop-tech, trading/MMing.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/punnkam",
        "x_url": "https://x.com/punnkam",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e2893b81567f888cc6f59e3a0cbf2e3fcc32b62.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77123,
        "title": "Agent Product Manager",
        "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/xY3NkA8-agent-product-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$120K - $220K",
        "equity_range": "0.10% - 0.40%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80475,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/cJoje4G-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $220K",
        "equity_range": "0.20% - 1.20%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 90378,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/TIcKDJk-account-executive",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$180K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 90390,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/bO1GFfX-sales-development-representative",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $140K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104836,
        "title": "Head of Marketing",
        "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/rNQxsat-head-of-marketing",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$150K - $220K",
        "equity_range": "0.10% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106275,
        "title": "VP of Sales",
        "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/4FRNpYY-vp-of-sales",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$500K - $750K",
        "equity_range": "0.50% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112280,
        "title": "Head of Business Development",
        "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/4usYhQz-head-of-business-development",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$180K - $220K",
        "equity_range": "0.20% - 0.75%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117396,
        "title": "GTM Engineer",
        "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/diELayJ-gtm-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$180K - $240K",
        "equity_range": "0.20% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 89389,
        "title": "Conduit: Conversational AI agents for housing and hospitality",
        "tagline": "AI agents that transform conversations into a source of conversions, revenue, and cost savings—without compromising on high-quality support.",
        "body": "Customer conversations are the backbone of every business. Conduit deploys AI agents that transform conversations into a source of conversions, revenue, and cost savings—without compromising on high-quality support.\n\nWe’re starting in housing and hospitality, where communication _is_ the operation. Whether it’s leasing, scheduling, or support, every core operation in housing and hospitality starts with a conversation.\n\n![uploaded image](/media/?type=post&id=89389&key=user_uploads/1073248/075a7605-c68b-411c-a5b4-994a1e5b63fc)\n\nWith the full context of your business, Conduit can talk to customers over text and voice like your best employee—responsive, consistent, and sharp, while knowing exactly when to bring in a human. And they don’t just answer questions, they drive conversations toward outcomes that matter.\n\nConduit works autonomously, but never in the dark. We give you full visibility into performance, with the ability to inspect, adjust, and improve how agents operate, so you can stay hands-off without losing control. AI is only as powerful as your ability to understand and direct it. We give you both.\n\n![uploaded image](/media/?type=post&id=89389&key=user_uploads/1073248/2eb14601-fde1-4e92-9193-d9cd9489fa22)\n\nLevel up your operation with Conduit—the conversational backbone of AI-forward companies.\n\n![uploaded image](/media/?type=post&id=89389&key=user_uploads/1073248/83805d2f-2aea-407a-80c9-2f140151512d)\n\n",
        "url": "https://www.ycombinator.com/launches/NFl-conduit-conversational-ai-agents-for-housing-and-hospitality",
        "votes": 18,
        "created_at": "2025-04-10T14:33:20.052Z"
      },
      {
        "id": 78716,
        "title": "🏠 HostAI - The operating system for vacation rentals",
        "tagline": "We provide an all-in-one platform that helps vacation rental managers deliver 5-star guest experiences at scale.",
        "body": "**Tl;dr:** HostAI streamlines guest services, team management, maintenance, and marketing for vacation rental managers. We remove the complexity of management so managers can focus on providing great hospitality. \n\nHi everyone, we’re Punn and Cole, the founders of [HostAI](https://www.hostai.app/).\n\n![uploaded image](/media/?type=post&id=78716&key=user_uploads/1382533/4b1e29ef-79e7-4bac-9b2c-e335b5377539)\n\n[Punn:](https://www.linkedin.com/in/punnkam/) Ex-Google engineer and proptech builder.\n\n[Cole:](https://www.linkedin.com/in/colerubin/) Vacation rental manager and real estate developer. \n\n❌ **Problem:** Vacation rental management is hard\n\nIt’s like operating 50 different hotel rooms spread across an entire region. Each property requires its own processes, rules, and team members. Managers use 5-10 different third-party apps to manage everything effectively.\n\nA fragmented tech stack creates multiple failure points for something to get missed, which can negatively impact the guest experience (i.e. the door code didn’t get updated before their check-in).\n\n✅ **Our Solution:** Compound Software\n\nHostAI aggregates information and builds native tools that make managing easier. We also provide modern integrations that enable managers to build workflows to the tools they already use (i.e. Slack or Notion).\n\nOur main features include: \n\n* **Guest communication:** Handle phone calls and messaging in one place\n* **Payroll and Compliance:** Pay team members and manage permits\n* **Maintenance management:** Ticketing automation and assignment with AI\n* **Loyalty programs:** Encourage rebookings and build a boutique travel brand\n* **IoT integrations:** Seamless communication with your hardware (i.e. door locks & thermostats)\n\n![uploaded image](/media/?type=post&id=78716&key=user_uploads/1382533/26e19b6f-8226-486f-9955-67996aa3ff60)\n\n**🚀Ask**\n\n1. Connect us to vacation rental managers or hosts ([cole@hostai.app](mailto:cole@hostai.app))\n2. Next time you stay in an Airbnb or VRBO message your host our website ([hostai.app](https://hostai.app))",
        "url": "https://www.ycombinator.com/launches/KTc-hostai-the-operating-system-for-vacation-rentals",
        "votes": 338,
        "created_at": "2024-02-25T04:38:04.313Z"
      }
    ]
  },
  {
    "id": 29383,
    "name": "Aftercare",
    "slug": "aftercare",
    "former_names": [
      "Kontractify"
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    "website": "https://getaftercare.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Aftercare helps you run surveys with AI-powered follow-up questions to dig into responses for deeper insights—it’s like having a skilled interviewer for every survey. ",
    "one_liner": "Conversational AI surveys with intelligent follow-up questions",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709233414,
    "tags": [
      "SaaS",
      "Productivity",
      "Feedback",
      "Data Visualization"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/aftercare",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/aftercare.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getaftercare/",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1355492,
        "full_name": "Aidan Lee",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Aftercare\nex-Growth Strategy at Datadog, Investment Banking at Barclays. \nNYU Stern '20",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aidan-cj-lee",
        "x_url": "",
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      },
      {
        "user_id": 410854,
        "full_name": "Justin May",
        "title": "Founder/CPO",
        "founder_bio": "Co-Founder at Aftercare\n\nex-Senior Software engineer at Palantir, Nextdoor | Rutgers '20",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/justinseanmay",
        "x_url": "",
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      },
      {
        "user_id": 1038226,
        "full_name": "Anand Nanduri",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Aftercare | ex-Senior Software engineer at Affirm | Yale '20",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anand-nanduri",
        "x_url": "",
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    "news": [],
    "launches": [
      {
        "id": 85495,
        "title": "Aftercare: Conversational AI surveys with intelligent follow-up questions",
        "tagline": "Run surveys with AI-powered follow-up questions to dig into responses for deeper insights—it’s like having a skilled interviewer for every survey.",
        "body": "Hey everyone! We’re [Anand](https://www.linkedin.com/in/anand-nanduri/), [Justin](https://www.linkedin.com/in/justinseanmay/), and [Aidan](https://www.linkedin.com/in/aidan-cj-lee/), co-founders of [Aftercare](https://www.getaftercare.com/).\n\n**TL;DR:** We’re building a generalizable survey tool that uses intelligent AI follow-up questions to gather better insights.\n\n## **🔭 How we got here**\n\nWhile we were building an eCommerce post-purchase survey platform, one of the most valuable features for our customers was using AI to ask follow-up questions to dig into survey responses and uncover deeper insights—almost like having an interviewer ask good questions live for every survey. We realized this powerful feature could be applied to all surveys, so expanded the survey platform so anyone could use it.\n\n![uploaded image](/media/?type=post&id=85495&key=user_uploads/1355492/f34a1950-734e-4956-b96d-4232807f1ff0)\n\n## **🧐 Problem**\n\n* Traditional surveys can’t react to respondent answers and ask follow-up questions, leaving behind incredibly valuable insights. Often, the first response to an open-ended question does not tell the whole story.\n* Good open-ended feedback is incredibly useful, but difficult to view in a structured format, especially when you have many responses. If you’ve ever used Google Forms, open-ended responses are presented as a data dump.\n\n## **🚀 Our Solution**\n\n* Easily create surveys, and turn on AI follow-up questions for any topic you want to dig into - Aftercare will ask intelligent follow-up questions automatically.\n* AI summaries surface key information from your responses automatically, and open-ended responses are categorized into data visualizations of your choice.\n\n## **Team**\n\nWe’ve been friends for 18 years and have deep engineering and ops experience at companies like Palantir, Datadog, Affirm, and Nextdoor.\n\n![uploaded image](/media/?type=post&id=85495&key=user_uploads/1355492/8ec74a7b-6c3e-4840-88fa-480c4d9af138)\n\n## **Our ask**\n\n* Try it out, we’d love to hear your honest feedback!\n* If you have a generalized survey use case (surveying customers, your employees, etc) I’d love to learn more about it over a quick chat: <https://calendly.com/aidanclee/15-minute-sync-from-launch-yc>\n* If you know anyone running a survey, tell them to try [www.getaftercare.com](http://www.getaftercare.com) 🙂",
        "url": "https://www.ycombinator.com/launches/MEx-aftercare-conversational-ai-surveys-with-intelligent-follow-up-questions",
        "votes": 21,
        "created_at": "2024-11-12T18:49:41.643Z"
      },
      {
        "id": 82218,
        "title": "Aftercare - Conversational post-purchase surveys using AI",
        "tagline": "Conversational post-purchase surveys using AI. Open-ended text, voice, and SMS surveys for eCommerce.",
        "body": "Hey everyone! We’re [Anand](https://www.linkedin.com/in/anand-nanduri/), [Justin](https://www.linkedin.com/in/justinseanmay/), and [Aidan](https://www.linkedin.com/in/aidan-cj-lee/), previously co-founders of Kontractify, coming back as [Aftercare](https://www.linkedin.com/company/aftercarecompany/).\n\n**TL;DR:** We help eCommerce stores run conversational post-purchase surveys using AI to capture open-ended customer feedback and marketing attribution data.\n\n# **🍪 Problem**\n\nWith the “death of the cookie” rapidly approaching, eCommerce stores must rely more on 1st- and zero-party data to inform marketing decisions like where best to spend money on ads (Meta vs. TikTok vs. Google, etc.).\n\nBecause of this, eCommerce stores are more widely adopting tools like post-purchase surveys. However, the current post-purchase survey landscape is lacking in several ways:\n\n* Limited: mainly offers multiple-choice questions that don’t provide enough context to be useful for marketing teams.\n* Static: asks the same questions regardless of the user’s segment (e.g., new vs. returning user) or the user’s previous responses within a single survey.\n* Disjointed: integrates poorly with the rest of the marketing stack.\n\n# **✨ Solution**\n\nAftercare is a modern post-purchase survey tool that uses AI to go beyond the traditional multiple-choice survey. It:\n\n* Asks open-ended questions to capture more detailed and candid feedback.\n* Changes what it asks based on the user’s previous responses so you can ask smart follow-up questions in real time.\n* Summarizes all insights in a single dashboard to inform product and marketing teams at a glance.\n\nOur MVP is a Shopify App, but we want to meet merchants and customers where they’re at, so we’re building out other channels, including a generalized web Iframe, SMS, and voice.\n\n![uploaded image](/media/?type=post&id=82218&key=user_uploads/1355492/b067a353-1293-4bcd-84b9-d42f441c6447)\n\n## **Team**\n\nPreviously known as Kontractify, we’re coming back as [Aftercare](https://www.linkedin.com/company/aftercarecompany/). We’ve been friends for 18 years and have deep engineering and ops experience at companies like Palantir, Datadog, Affirm, and Nextdoor.\n\n![uploaded image](/media/?type=post&id=82218&key=user_uploads/1355492/bc67ac78-45af-4926-a10d-978fa60fcdff)\n\n# **🙏 Our ask:**\n\nPlease reach out if you know anyone who does marketing at or runs an eCommerce store - we’d love a warm intro! Email us at [aidan@getaftercare.com](mailto:aidan@getaftercare.com)",
        "url": "https://www.ycombinator.com/launches/LO6-aftercare-conversational-post-purchase-surveys-using-ai",
        "votes": 12,
        "created_at": "2024-07-17T17:52:36.986Z"
      },
      {
        "id": 79017,
        "title": "Kontractify - Painless RFPs, powered by LLMs 📢",
        "tagline": "We use LLMs to help enterprises run Request for Proposals (RFPs)",
        "body": "Hey everyone! We’re [Justin](https://linkedin.com/in/justinseanmay), [Anand](https://linkedin.com/in/anand-nanduri), and [Aidan](https://linkedin.com/in/aidan-cj-lee) – childhood friends and co-founders of Kontractify.\n\n**TL;DR** [Kontractify](https://www.kontractify.com/) uses LLMs to help enterprises run RFPs. We generate questions, manage workflows, evaluate proposals, and facilitate reverse auctions.\n\n## 🧨 **The Problem**\n\nEnterprises buy large amounts of goods and services through RFPs—competitive bid processes where they invite multiple sellers/service providers to participate. These buyers launch RFPs on extremely outdated platforms, often costing hundreds of thousands of dollars, and have UI/UX stuck in the ‘90s.\n\nBuyers get so frustrated with these tools that they ignore using them altogether and revert to Excel spreadsheets and emails. Wasted time, frustration, information loss, and lack of user participation are common.\n\nOn the other side, sellers who receive RFP notifications hate filling out responses on these platforms, leading many to not participate.\n\n## 🎉 **Our Solution**\n\nKontractify provides a painless experience for enterprise buying teams to run and collaborate on RFPs, using LLMs to speed up particularly tedious processes. Buyers can build, launch, and manage all seller communications through the platform.\n\n![uploaded image](/media/?type=post&id=79017&key=user_uploads/1355492/bed9d3f3-1454-460b-957d-a46f3630192a)\n\n**For Buyers:**\n\n* ⚙️ Simple workflow and question builders help buyers painlessly curate events\n* ✍️ Tedious activities like writing question lists are automated away with the help of LLMs\n* 📣 Advanced eBidding events such as Reverse Auctions can be easily launched, allowing for greater savings\n\n**For Sellers:**\n\n* 📫 RFP questions can be responded to directly by email and LLMs assist in converting the unstructured text into a templated response\n\n⭐️ Consumer-grade UI and LLMs greatly improve velocity for both buyers and sellers. Buyers can develop new supplier relationships, run more events, and save more money. Sellers can quickly respond to RFPs and focus on their next sale.\n\n## **Team**\n\nWe’ve been friends for 18 years and have deep engineering and ops experience at companies like Palantir, Datadog, Affirm, and Nextdoor.\n\n![uploaded image](/media/?type=post&id=79017&key=user_uploads/1355492/4b7de3a9-c552-4543-a8f3-2599bfd849c8)\n\n## **Ask**\n\n* Intro us to sourcing or procurement professionals! Drop us a line at [aidan@kontractify.com](mailto:founders@kontractify.com).",
        "url": "https://www.ycombinator.com/launches/KYT-kontractify-painless-rfps-powered-by-llms",
        "votes": 124,
        "created_at": "2024-03-04T18:10:59.295Z"
      }
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    "id": 29384,
    "name": "Shiboleth",
    "slug": "shiboleth",
    "former_names": [],
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    "website": "https://www.shiboleth.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Shiboleth automates consumer lending compliance for financial institutions using AI.\r\nBanks and fintechs use us to save months of manual work by automating audits and drafting reports for the governments. \r\n\r\nLLMs allow whole categories of manual compliance processes to be automated in ways that weren’t possible until recently.\r\n\r\nWe are excited to automate back-office operations and enhance consumer protection in one of the most litigious industries.",
    "one_liner": "Shiboleth automates lending compliance for financial institutions…",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1702497588,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/shiboleth",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/shiboleth.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/shiboleth/about/",
    "x_url": "",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1571199,
        "full_name": "Esty Scheiner",
        "title": "Founder/CEO",
        "founder_bio": "Esty Scheiner is the CEO and Co-founder of Shiboleth. Shiboleth automates regulatory compliance for lending institutions\n\nBefore Shiboleth, Esty was a Security Engineer at Invoca, developing an LLM tool for automating security compliance. She dropped out of NYU CS at 19 yr. old to become a SE at Buggy, quickly rising to manage a 6-person R&D team within a year . Additionally she is a self taught CISSP and OSCP (top compliance and hacking certs) in months instead of 5 years. \n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/esty-scheiner-9ab3a9142",
        "x_url": "https://twitter.com/scheiner_esty",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07c2e6192c2ad5b9269dadcacb3842a55b87a69a.jpg"
      },
      {
        "user_id": 750382,
        "full_name": "Bivu Dhungana",
        "title": "Founder/CTO",
        "founder_bio": "Bivu is a co-founder and CTO at shiboleth.ai which he founded with Esty Scheiner in late 2023.  Shiboleth automates regulatory compliance for lending institutions. \n\n\nBivu has a decade of experience working as a ML Engineer in logistics, banking and audio. Before Shiboleth, Bivu worked at Pindrop as an AI Engineer where he led a team for IVR fraud detection. His team's product is used by 6 of the largest 10 banks, and amounted to $10 million ARR in sales. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bivu-dhungana",
        "x_url": "",
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    ],
    "jobs": [
      {
        "id": 78263,
        "title": " ⚡️ Founding Full Stack Software Engineer ⚡️",
        "url": "https://www.ycombinator.com/companies/shiboleth/jobs/RDkhDqm-founding-full-stack-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $220K",
        "equity_range": "1.00% - 2.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Django",
          "Python",
          "SQL",
          "Tailwind"
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    ],
    "news": [
      {
        "title": "Shiboleth eyes bank-fintech compliance",
        "url": "https://www.axios.com/pro/fintech-deals/2025/02/27/shiboleth-bank-fintech-partnership-compliance-seed",
        "date": "Feb 27, 2025"
      }
    ],
    "launches": [
      {
        "id": 78847,
        "title": "Shiboleth: Automating consumer lending compliance",
        "tagline": "Enabling lending compliance teams to audit customer service chats with AI",
        "body": "**TLDR**: Lending companies use us to flag compliance violations for customer interactions and create the first drafts of the reports for the government.\n\n🚀 **Shiboleth’s Y Combinator offer:** We are so excited about our technology and the launch 🔥. If you are a financial institution and want to check the work of your QA team or auditor [shiboleth.ai/#ycdeal](http://shiboleth.ai/#ycdeal), or send an email to [founders@shiboleth.ai](mailto:founders@shiboleth.ai) to receive a free audit of up [to 20,000 calls.](mailto:founders@hiboleth.ai)\n\n—\\\n👋 Hello everyone, we are Esty and Bivu!  We are building [Shiboleth](https://www.shiboleth.ai/). If you saw a recent Garry Tan’s [tweet](https://x.com/garrytan/status/1751066532480987434?s=20) about bookface launch live, that was us :). We were chosen as one of the top products based upon “votes from batch and YC alumni”.\n\n[Esty](https://www.linkedin.com/in/esty-scheiner-cissp-oscp-9ab3a9142/) previously worked in the intersection of compliance and conversational intelligence. And [Bivu](https://linkedin.com/in/bivu-dhungana) has a decade-long experience in NLP and AI. Together, we are excited to innovate in the regulatory compliance sector, an area that is long due for innovation. We believe that automating compliance can enable smaller financial institutions to exist in the long term.\n\n![uploaded image](/media/?type=post&id=78847&key=user_uploads/1571199/31340ca2-163b-4a2e-8bde-30f14f4a9a12)\n\n❌  **The Problem:** Consumer lending is very litigious and consequently, it is heavily regulated: agencies such as CFPB, FDIC, and OCC impose a lot of intentionally ambiguous regulations. Currently, the audits are extremely manual. Even with a large team of auditors,  they can only check a fraction of the calls—sometimes as low as 2% which means that violations can be missed. Often, there is “just enough ambiguity” that the calls and communication warrant manual reviews. This is problematic because an internal audit system might not suffice for compliance purposes.\n\n🤔 **How does it work?**: Shiboleth automatically flags compliance violations in customer interactions. It does this by syncing with the companies' runbooks, using advanced LLMs and NLP to parse relevant regulations. Our extensive database of public reviews, CFPB complaints, and enforcement actions helps us identify the most enforceable regulations and recommend appropriate mitigation actions.\n\nYou can check out the [demo](https://www.youtube.com/watch?v=FYJ5OsysNJ4) below. \n\n🌤️**Who Can Use Us**: Our solution is designed for financial institutions, including banks, fintech companies, and non-bank lenders, that are looking to streamline their lending compliance processes and reduce costs. We are currently working with lending institutions but would be interested in hearing adjacent use cases\n\n📫 If you want to be part of our beta, introduce us to new use cases, or just geek out Dodd-Frank in general, please free to reach out to [founders@shiboleth.ai](mailto:founders@shiboleth.ai).",
        "url": "https://www.ycombinator.com/launches/KVj-shiboleth-automating-consumer-lending-compliance",
        "votes": 115,
        "created_at": "2024-02-28T15:01:29.682Z"
      }
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  },
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    "id": 29387,
    "name": "Overeasy",
    "slug": "overeasy",
    "former_names": [
      "Dataneko",
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      "Overeasy",
      "Cracked"
    ],
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    "website": "https://overeasy.sh/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1722555710,
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      "AI"
    ],
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    "batch": "Summer 2024",
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      "America / Canada"
    ],
    "stage": "Early",
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        "full_name": "Kelly Lu",
        "title": "Founder/CPO",
        "founder_bio": "I'm Kelly! I care about empathetic code and design. Previously, CS at MIT, infrastructure at Discord, computer graphics at MIT CSAIL, computational design at the MIT Media Lab.",
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        "id": 82664,
        "title": "🥚Overeasy – Go from idea to CV model 100x faster",
        "tagline": "Overeasy lets you build task specific CV models from unstructured image data.",
        "body": "**TLDR:** Today, we’re launching IRIS, an AI agent that automatically labels your visual data with prompting, so you can develop computer vision models faster.\n\n<https://youtu.be/aa10GQpWY4A>\n\n# **Problem: Labeling data is slow and expensive**\n\n**1. Modern datasets are exploding in scale 📈**\n\nPrevious large datasets like COCO had 3M+ annotations across 300k+ images. Now, models train on datasets like FLD-5B with over 5B+ annotations across 126M+ images — a 1000x increase in scale!\n\n**2. Synthetic Annotations are the only way to keep up 🤖**\n\nSynthetic annotation pipelines can 100x your annotation speed while maintaining label quality. Frontier models like LLama 3.1 and SAM2 have shown that strong synthetic data pipelines are necessary for state-of-the-art performance.\n\n# **Solution: Introducing IRIS, your AI Agent for Computer Vision**\n\nTransform your workflow with IRIS:\n\n* **Auto-annotate** millions of images instantly: IRIS automatically selects the best zero-shot models for your use case.\n* **Iterate** on annotations with prompts and visual hints: Tell IRIS what it got wrong, and it can go back and fix its mistakes!\n* **Train and deploy** CV models with a single click.\n\n# **Benchmarks**\n\nWe’ve been pushing the boundaries of zero-shot object detection models. IRIS’ zero-shot object detection achieves state-of-the-art performance on COCO and LVIS.\n\n![uploaded image](/media/?type=post&id=82664&key=user_uploads/1037258/d5d1b0a4-f387-48de-ab9f-e184ce5c58c6)\n\nWe’re excited to see how much IRIS will improve in the coming months!\n\n# **About Us**\n\n👋 Hey, it’s Ani and Kelly! \n\n![uploaded image](/media/?type=post&id=82664&key=user_uploads/1037258/5523c67a-da49-48db-8992-980441b53d29)\n\nWe met while running HackMIT three years ago, one of the largest undergraduate hackathons. Since then, we’ve both done computer vision research, and spend a lot of time thinking about dataset curation and labeling.\n\n[Ani](https://linkedin.com/in/anirudh-rahul-34a2bb195): Has worked on high performance trading systems at Jane Street and Five Rings, and has done computer vision research at MIT. \n\n[Kelly](https://linkedin.com/in/kellylu1%F0%9F%8C%B1): Has worked on revenue infrastructure and checkout flow optimization at Discord, and has conducted computer vision and computational design research at MIT.\n\n# **Ask**\n\nIf you think you could benefit from speedier labeling and training, we would love to [talk](https://docs.google.com/forms/d/e/1FAIpQLSdnthcpcuWOQUf0kbcaPwk17E-WVUv3sXiBsF3Yv-3XfcMA6A/viewform) (or, chat with us live on [overeasy.sh](http://overeasy.sh) 👀).",
        "url": "https://www.ycombinator.com/launches/LVI-overeasy-go-from-idea-to-cv-model-100x-faster",
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    "long_description": "OffDeal is an AI-native investment bank, offering small business owners a faster, cheaper way to sell their companies at premium prices. Our AI technology automates most of the grunt work typically done by analysts at larger Wall Street banks, enabling our in-house M&A advisors to focus more on strategic client interactions, leading to better outcomes for both sellers and buyers.",
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        "full_name": "Ori Eldarov",
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        "full_name": "Alston Lin",
        "title": "Founder/CTO",
        "founder_bio": "Founder / CTO @ OffDeal.\n\nPreviously, \nFounder / CTO @ Bizwise, \nSWE / SWE Intern @ Meta, Google, Yelp, PagerDuty, IBM, and Encircle. \nSoftware Engineering @ University of Waterloo.",
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        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/offdeal/jobs/B8lTBlY-full-stack-engineer",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "These AI-Native Companies Have Tiny Staffs and Fewer Bosses",
        "url": "https://www.wsj.com/tech/ai/ai-companies-staffing-c9029343",
        "date": "Jul 18, 2026"
      },
      {
        "title": "I Took a Calculated Risk and Left JPMorgan for an AI Investment Bank - Business Insider",
        "url": "https://www.businessinsider.com/left-jp-morgan-analyst-join-ai-investment-bank-startup-advice-2025-10",
        "date": "Oct 11, 2025"
      },
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        "title": "Wall Street's new AI era: OffDeal CEO on using AI to disrupt investment banking",
        "url": "https://www.cnbc.com/video/2025/08/04/wall-streets-new-ai-era-offdeal-ceo-on-using-ai-to-disrupt-investment-banking.html",
        "date": "Aug 04, 2025"
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        "title": "OffDeal Pioneers AI-Native Investment Banking for the Middle Market",
        "url": "https://www.startuphub.ai/ai-news/ai-video/2025/offdeal-pioneers-ai-native-investment-banking-for-the-middle-market/",
        "date": "Aug 04, 2025"
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      {
        "title": "How OffDeal’s Viral ‘$12M Series A’ Broke Wall Street’s Brains",
        "url": "https://www.sourcery.vc/p/how-offdeals-viral-12m-series-a-broke",
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      {
        "id": 79184,
        "title": "OffDeal -  AI broker for buying small businesses",
        "tagline": "Custom-built AI agents to find, vet, and engage SMB acquisition targets",
        "body": "Howdy folks 👋🏻 We’re [Ori](https://www.linkedin.com/in/eldarov/) and [Alston](https://www.linkedin.com/in/alstonlin/) from [OffDeal](http://www.offdeal.io) and we’re building an AI broker that helps individual buyers find and acquire small businesses. \n\n# tl;dr\n\nFinding the right small business to acquire is painfully manual and tedious - an average buyer takes almost two years to buy one! 🫨\n\nOffDeal puts SMB deal sourcing on autopilot. Our AI broker\n\n* Screens through millions of SMBs using semantic search on dozens of data points to identify potential targets \n* Automatically researches each one to ensure criteria match using custom AI web agents\n* Crafts and sends hyper-personalized emails to maximize response rate\n\nSince launching our closed beta two weeks ago, we have about a dozen buyers using OffDeal to source $10-50 million SMB acquisitions.\n\n# **❌ Problem: Buying a small business takes 18-24 months**\n\nThe current process of finding a small business to buy is painstakingly slow and tedious. Today, buyers rely on a combination of expensive SMB databases (e.g. Grata, Sourcescrub) and manual research, often involving a makeshift \"deal team\" of unpaid interns and offshore assistants. \n\nThis cobbled-together system creates a major bottleneck, typically allowing buyers to only assess 100-150 businesses per week (and that's considered good!). Since buyers usually need to go through \\~10,000 businesses before finding “the one”, the entire process becomes incredibly time-consuming, frustrating, and expensive.\n\n## **✨ Our Solution: AI Broker to find, diligence, and engage 10x more SMB targets**\n\nOur AI broker acts much like a human M&A advisor would - it finds targets, diligences them, and then reaches out to them on your behalf. However, unlike a human, our AI broker is powered by proprietary recommendation engines and custom-built AI agents and can do this for thousands of companies at a time 👀\n\nHere is how it works:\n\n**Step 1.** 🔎**Preliminary target list** \n\nOur AI screens through millions of SMBs on dozens of data points using LLM-powered semantic search to uncover off-market hidden gems that match your exact acquisition criteria.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/3137a403-b062-4ac1-a4ac-d6f626df2c51)\n\n**Step 2. 🧠 Offload tedious research**\n\nOur web-enabled AI agents conduct automated diligence, vetting thousands of companies to deliver a precision-targeted shortlist in minutes, not days.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/b2aae969-b311-4a27-80f3-1be6afde6f4b)\n\n**Step 3.⚡Automate personalized outreach**\n\nOur AI uses dozens of data points to craft and send hundreds of hyper-personalized messages each week, helping you stand out from other buyers and fill your calendar with owner calls.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/e224acfd-e6f7-459c-b4f3-81b2933cbb57)\n\n# **Our first customers**\n\nTo start we’re focusing on “search funds”. These are individuals (typically MBAs from top programs) who raise money from institutional investors to acquire a small business.\n\nThis is an ideal first customer because: \n\n1. They only have 2 years to find a business (or have to return capital)\n2. 30% of searchers fail to find a deal within that timeframe\n3. They are happy to pay finder fees for successful introductions\n4. Ori personally knows dozens of them from his time at HBS and working in finance, making for a much easier GTM 🙂\n\nBeyond search funds, we plan to expand to private equity firms, which buy thousands of SMBs each year, as well as to a rapidly growing number of individuals choosing to leave the rat race and pursue acquisition entrepreneurship.\n\n# \n\n# 🤝🏻**Team**\n\n[Ori Eldarov](https://www.linkedin.com/in/eldarov/) (CEO) first came across this problem in 2019 - when he attempted (unsuccessfully) to acquire a business. A couple of years later, he saw dozens of his classmates at HBS go through the same struggles. \n\n[Alston Lin](https://www.linkedin.com/in/alstonlin/) (CTO) also struggled to find the right SMBs in the previous startup he founded - using existing tools that relied on broad industry buckets resulted in most outreach going to irrelevant businesses. However, with his experience working with big data and ranking engines at Facebook and Google, he knew he could build a better solution.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/e260dfb2-5b95-467d-8d5d-e61094feec02)\n\n# **The Ask**\n\nIf you or anyone you know is looking to acquire a small business ($10-50M) please introduce us! We can be reached at [founders@offdeal.io](mailto:founders@offdeal.io) or this [form](https://docs.google.com/forms/d/e/1FAIpQLScyDLNDz41cP1l404c8ESodrN0lCDM7_HgfOBS2BC2x5F64EA/viewform). \n\nThese can be any of the following: \n\n* Individual buyers / “search funds” \n* Lower middle market PE firms \n* Companies looking to make an add-on acquisition\n\n \n\n**Thanks everyone for your support 🙂**",
        "url": "https://www.ycombinator.com/launches/KbA-offdeal-ai-broker-for-buying-small-businesses",
        "votes": 103,
        "created_at": "2024-03-07T21:50:22.985Z"
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    "id": 29391,
    "name": "Abel",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Abel transforms law firm document review workflows, eliminating the need to choose between depth and breadth. Attorneys use Abel to answer nuanced questions based on the context spread across thousands of documents.",
    "one_liner": "Transforming document review for litigation teams",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
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    "batch": "Winter 2024",
    "status": "Inactive",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/abel.json",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Sean Safahi",
        "title": "Founder",
        "founder_bio": "Co-Founder, CEO @ Abel, where we're transforming document review for litigation teams. Previously: Product @ Netflix & Airbnb and Co-Founder @ Bold (acquired by Airbnb). Pilot, runner, and best friend to my dog. ",
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        "full_name": "Chenyu Li",
        "title": "Founder",
        "founder_bio": "Co-Founder, CTO @ Abel, where we're transforming document review for litigation teams. Previously engineering @ Chime and Yahoo!. Co-founder @ Telescope (acquired by Chime). Pilot,  mountaineer and lover of all things outdoors!\n",
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        "title": "The 18 most interesting startups from YC’s Demo Day",
        "url": "https://techcrunch.com/2024/04/03/ycs-winter-2024-demo-day-confirms-that-we-are-indeed-in-an-ai-bubble/",
        "date": "Apr 03, 2024"
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      {
        "id": 79318,
        "title": "Abel: Transforming document review for law firms",
        "tagline": "Review legal records with the depth of manual review and the scale of technology",
        "body": "Hello! We’re [Chenyu](https://www.linkedin.com/in/chenyuli/) and [Sean](https://www.linkedin.com/in/ssafahi/), the team behind [Abel](https://www.tryabel.com/). Abel **answers complex questions across large legal records** made up of many different types of documents. Our mission is to empower attorneys to practice more efficiently, so they can extend representation to more people.\n\n![uploaded image](/media/?type=post&id=79318&key=user_uploads/363045/d582ce29-dab1-48c8-97ec-23438999b485)\n\n### **tl;dr**\n\n* Attorneys import documents from a variety of sources and formats (PDFs, emails, spreadsheets, docs).\n* Abel processes the documents and creates a structured representation of the information contained in them (we call these: “entities”). \n* Attorneys understand the facts with more speed and precision than was previously possible.\n\n### **Problem**\n\nMany legal practice areas - including litigation, M&A, and insurance - routinely deal with large document sets, and attorneys spend many hours reviewing those documents to get the information they need. \n\nIn an age of AI, law firm clients demand both increased efficiency and improved effectiveness. \n\nExisting technology solutions, like eDiscovery platforms, don’t help attorneys understand the information that exists inside the documents. They’re costly, cumbersome, and their search is difficult to use to pinpoint the relevant information. \n\nSo, attorneys rely on manual document review, which is even more costly, prone to human error, and difficult to get client budget buy-in.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=79318&key=user_uploads/363045/575e7b8c-4331-4a11-b51f-d83c1e0c2535)\n\nAbel allows attorneys to get the depth of manual review at the scale of technology. Attorneys import legal records of a variety of document formats, types, and sizes. \n\nAbel leverages our proprietary entity extraction to process the documents and uncover a structured representation of the information contained in them. Our extraction pipelines are flexible and can be customized to identify the relevant entities to our customers’ needs, which can include things like: \n\n* The people involved \n* Clauses in agreements \n* Relevant email threads\n* Key legal issues \n* Motions raised at trial\n* Key events that occurred\n\nAttorneys use Abel to explore the extracted entities and to examine the relationships between them. This allows us to answer more complex questions with more nuance than existing solutions.\n\n[View our demo.](https://youtu.be/USloYdiY6Pk)\n\n### **Our Asks**\n\n1. If you’re an attorney or responsible for law firm innovation, please reach out to [founders@tryabel.com](mailto:founders@tryabel.com). We’re offering premium onboarding for firms that sign up by May 10th, which includes deploying up to 5 custom entity extraction pipelines. \n2. If you’re on an in-house legal team, we’d love to talk about how we can support both you _and_ your outside counsel. \n3. Please share this post with your networks. Chances are that you know an attorney or two.",
        "url": "https://www.ycombinator.com/launches/KdK-abel-transforming-document-review-for-law-firms",
        "votes": 119,
        "created_at": "2024-03-12T17:35:18.158Z"
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    "name": "Voicepanel",
    "slug": "voicepanel",
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    "long_description": "We help teams evaluate products with real people.\r\n\r\nNew features. AI experiences. Websites. Apps. Ads. Messaging.\r\n\r\nEvery evaluation builds confidence in what to build, what to launch, and what to improve next.",
    "one_liner": "Evals for products",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1702567792,
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    "batch": "Winter 2024",
    "status": "Active",
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      "Analytics"
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    "regions": [
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      "Partly Remote"
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    "stage": "Early",
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        "full_name": "Asa Schachar",
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        "title": "Voicepanel: User research on autopilot",
        "tagline": "AI agent that conducts user research for product teams",
        "body": "**TL;DR: Voicepanel is an AI agent that automates user research end-to-end.** Given a simple prompt, Voicepanel conducts conversations with users and shares the learnings in Slack. Our platform enables product teams to continuously gather feedback, discovery usability issues, and test new product concepts without the overhead of traditional research methods.\n\n<https://www.youtube.com/watch?v=-dYtHN1TwuE>\n\n### The problem\n\nAs shipping new products becomes easier, collecting quality user feedback is becoming a bottleneck to crafting successful products.\n\nFor decades companies have used basic surveys to keep a pulse on their users, but people are tired of them. The best product teams talk to their users regularly, but scheduling interviews for users to weigh in every product decision is an impossible task.\n\n### Our solution\n\nVoicepanel delivers detailed feedback from users over chat, voice, video, or screen share on a continuous or on-demand basis. No survey coding or interview scheduling is required: product teams tell Voicepanel their learning objectives and get back detailed responses & reports in Slack.\n\n### How does it work?\n\nVoicepanel requires setting up one or more intercepts:\n\n1. **Product embed** (currently web apps only; native mobile apps coming soon)\n2. **Link sharing** (e.g. by email when user reaches a key milestone)\n3. **Research panel** (based on unlimited custom screening & demographic criteria)\n\nFrom there, product teams simply state their learning objectives. Voicepanel automates the process of recruiting respondents, screening for quality, conducting conversations, distributing incentives, and sharing the responses in real-time.\n\n### **Who is it for?**\n\nProduct teams that lack dedicated resources for research.\n\n### **About us**\n\n[John](https://linkedin.com/in/john-provine) & [Asa](https://linkedin.com/in/asaschachar) met while working together at [Optimizely (W10)](https://www.ycombinator.com/companies/optimizely), where they co-created the company’s developer-focused product. While they saw the power of analytics firsthand, they always felt there had to be a better way to uncover the ‘why’ behind the numbers. Before Voicepanel, Asa co-founded [Level (S21, acquired by Vouch)](https://www.ycombinator.com/companies/level) and John led product teams at Google.\n\n### **Get in touch**\n\n* Book a demo at [voicepanel.com](http://voicepanel.com)\n* Try it out yourself! Sign up for a free account at [voicepanel.com](http://voicepanel.com)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/voicepanel) for product updates.",
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        "tagline": "We help businesses gather actionable feedback to improve their products & services",
        "body": "We’re [John](https://linkedin.com/in/john-provine) & [Asa](https://linkedin.com/in/asaschachar), the founders of [Voicepanel](https://voicepanel.co/).\\\n\\\n**tl;dr:** We’re reimagining surveys by enabling businesses to conduct conversations at scale. Businesses simply state their learning objectives; Voicepanel’s AI recruits quality respondents, interviews them over voice or video, and synthesizes actionable insights within just minutes.\n\n![uploaded image](/media/?type=post&id=78553&key=user_uploads/1316792/f339d61e-0f2b-4d64-8a6c-fcdc24803644)\n\n### **Why do this?**\n\n**Demand for consumer insights is higher than ever, but businesses lack a scalable solution to get answers.**\n\nTraditional surveys can be helpful but provide only surface-level insights. Qualitative research methods (e.g. interviews & focus groups) provide deeper insights but typically involve hiring expensive research agencies or time-consuming manual processes. We think businesses shouldn’t have to compromise: they should be able to gather qualitative insights at the same speed, scale & rigor as a survey.\n\n### **How does it work?**\n\nVoicepanel uses a combination of LLMs, transcription, and voice synthesis to deliver a seamless experience for respondents. We’ve worked hard to ensure that we consistently deliver high-quality insights to our customers by leveraging AI at every step of the process:\n\n* Recruiting & screening respondents based on quality\n* Probing respondents deeply while keeping interviews on track\n* Synthesizing hours of conversations into themes (illustrated below)\n\n![uploaded image](/media/?type=post&id=78553&key=user_uploads/1316792/3dae88ec-1b18-4860-83e8-025707080a01)\n\n### **Who is it for?**\n\n* **Product managers** who seek rapid user feedback to improve their work\n* **Marketers** who want a deeper understanding of their target audience\n* **Researchers** who want to offload work to focus on more strategic projects\n\nWe are focused on consumer companies (e.g. Retail, Packaged Goods, Food, Travel, Wellness, Consumer Finance) that are building a distributed research practice.\n\n### **About us**\n\nJohn and Asa met while working together at Optimizely where they built A/B testing products for large organizations. They have a combined 30 years of experience with user & market research at their previous companies, and they are excited about the potential for AI to help organizations innovate faster.\n\n### **Get in touch**\n\n* Book a demo at [voicepanel.co](http://voicepanel.co/) or email John at [john@voicepanel.co.](mailto:john@voicepanel.co)\n* Try it out yourself! Sign up for an account at [voicepanel.co.](http://voicepanel.co)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/99117613/) for product updates.",
        "url": "https://www.ycombinator.com/launches/KQz-voicepanel-better-surveys-with-ai",
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        "created_at": "2024-02-20T15:51:38.779Z"
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        "founder_bio": "Co-founder at Opencall.ai; previously at Verily, Argo AI, and Meta. Passionate about music, design, and eliminating tedious work.",
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        "title": "OpenCall.ai 📲 AI call centers for any business",
        "tagline": "We give any business a skilled, affordable call center.",
        "body": "**Tl;dr:**\n\nTurn missed calls into customers. Even million-dollar call centers lose 10-30% of revenue to abandonment. [Opencall](https://opencall.ai/) captures this revenue – while cutting costs 50-80% – by answering every call with AIs. See our [demo](https://www.youtube.com/watch?v=2nI7yFp7iwc) or call +1 (334) 218-5183 to try out a more in-depth demo.\n\n### The problem: Handling phone calls is hard\n\nWhen customers call a business they expect fast, personalized service. Unfortunately for businesses, that’s prohibitively expensive to provide. Instead, hairdressers, mechanics, and receptionists have to spend their mornings listening to voicemail, and then juggle phone calls while working with clients. Meanwhile, larger businesses spend millions on call centers which overcharge for poor customer experience. \n\nDespite the headache and expense, they still end up losing revenue from missing calls!\n\n### **Our solution:** Custom AI receptionists\n\nOpencall creates AI to let businesses answer the phone automatically. Our AIs answer questions, book appointments, and integrate with existing software.\n\n* **Easy to use.** Businesses can integrate Opencall in less than an hour, with no code or flowcharts required\n* **Highly customizable.** Opencall can adapt to almost any phone workflow\n* **Secure**. Opencall is HIPAA compliant and never sends data to third parties (even OpenAI)\n\n### How it works:\n\nWe’ve generated thousands of workflows based on real-world human tasks. From healthcare to finance to retail support, we trained our proprietary model to faithfully follow complex workflows and be able to identify precise moments within conversations to trigger API calls. This capability allows it to access and modify data in real time to complete entire jobs end-to-end.\n\n### Asks:\n\nPlease connect us with your doctors, hairdressers, health clubs, or any other business owners who could benefit from our service!\n\nCall our demo agents and give us feedback:\\\nMedical Receptionist - (334) 218-5183\n\nResearch Assistant - (347) 686-8193\n\nTherapist - (240) 410-1238\n\nSign up {[here](https://app.opencall.ai/api/auth/signup)} and let us customize an agent for your needs!\n\n![uploaded image](/media/?type=post&id=79222&key=user_uploads/1341152/aa722cf5-4d2f-42f7-9b4d-e9d89fc246bb)\n\nThanks for reading! (From left to right: [Nicholas](https://www.linkedin.com/in/nicholas-lee-93779a173/), [Oliver](https://www.linkedin.com/in/oliver-silverstein-42949515b/), [Arthur](https://www.linkedin.com/in/arthur-silverstein/), [Eric](https://www.linkedin.com/in/eric-mei/))",
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    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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        "title": "Clarum - Your AI Associate for Private Equity Due Diligence",
        "tagline": "Investment due diligence and research that works with Excel, Word, and PowerPoint.",
        "body": "Hi everyone,\n\nWe’re [Anton](https://www.linkedin.com/in/antonotaner/) and [Tommy](https://www.linkedin.com/in/tommyhe6/), co-founders of **Clarum**.\n\nHere’s a short demo video showing how it works:\n\n📽 <https://youtu.be/absLLXBYswc>\n\n### **TL;DR**\n\n**Clarum is the AI associate for private equity due diligence and research.**\n\nClarum works directly with _Excel, Word, and PowerPoint_ to structure financials, extract deal terms, and analyze data—without requiring teams to change tools or workflows. Firms use Clarum to speed up deal evaluation, reduce errors, and improve risk visibility across their pipeline.\n\n### ❌ **The Problem**\n\nPrivate equity diligence is still manual—making it hard to assess risk quickly across large data rooms and short timelines.\n\nDespite growing deal volume and increasing data complexity, teams still rely on fragmented workflows across _Excel, Word, and PowerPoint_. It’s slow, repetitive, and difficult to scale—especially when consistency, speed, and accuracy are critical.\n\n### 🛠️ **Our Solution**\n\nClarum connects to your data and analyzes deal materials with _Excel, Word, and PowerPoint_, using AI to automate key parts of the diligence workflow. We tailor Clarum to your specific processes, so results appear in your familiar environment and formats — _no new tool to learn_.\n\nFirms use Clarum to:\n\n* 📄 **Generate screening memos**\n* 📊 **Build returns analyses and models**\n* 📈 **Create deep-dive slide decks**\n* 📉 **Reconcile income statements and chart financials**\n* 📚 **Summarize CIMs and legal documents**\n* 🚨 **Flag inconsistencies across files**\n* 📎 **Compare and benchmark deals**\n* 🗂️ **Categorize and summarize data room contents**\n\n_The result: faster deal cycles, cleaner outputs, and stronger confidence heading into IC—without changing how teams work today._\n\n---\n\n### **The Ask**\n\nIf you are or know:\n\n1. **Managing Partner / Head of Family Office** who believes AI and automation are critical for building long-term operational leverage.\n2. **Principal / Investment Director at a LMM PE firm or Family Office** looking to scale analytical output and automate diligence—without changing the tools the team already uses.\n3. **CIO / Head of Investments** exploring how AI can enhance risk assessment and portfolio insights without adding technical overhead.\n4. **VP / Senior Associate** aiming to reduce manual data work and focus more time on high-impact analysis.\n\nWe’d love to help.\n\n👉 [**Book a demo at clarum.ai**](https://clarum.ai/contact?utm_source=yc&utm_medium=launch&utm_campaign=launch-2)\n\n📬 You can also reach us directly at [contact@clarum.ai](mailto:contact@clarum.ai).\n\n![uploaded image](/media/?type=post&id=89583&key=user_uploads/1524877/8eb3444c-3a7b-4ef8-ac0d-421df1bb95d5)\n\nThanks for reading. Looking forward to connecting.",
        "url": "https://www.ycombinator.com/launches/NIt-clarum-your-ai-associate-for-private-equity-due-diligence",
        "votes": 14,
        "created_at": "2025-04-22T13:36:47.110Z"
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      {
        "id": 79333,
        "title": "Clarum: AI-powered due diligence",
        "tagline": "Clarum helps private equity firms close more deals by conducting accelerated and reliable due diligence.",
        "body": "Hey everyone! We’re [Anton](https://www.linkedin.com/in/antonotaner/) and [Tommy](https://www.linkedin.com/in/tommyhe6/) and we’re building [Clarum](https://clarum.ai/?utm_source=yc&utm_campaign=launch).\n\n**tldr;** Clarum helps private equity firms close more deals by conducting quicker due diligence with AI. For example, firms can import files from their data room to get answers to hundreds of questions in minutes. [Book a demo](https://clarum.ai/demo?utm_source=yc&utm_campaign=launch) with us!\n\n### **Problem**\n\nDuring deal flow, due diligence is a significant challenge for investors due to the need to **quickly process large volumes of disorganized data within tight deadlines**. The mental and emotional toll is significant, especially when dealing with high-stakes transactions worth millions, where mistakes can cost jobs. Private equity firms risk losing deals or being outbid if they don't conduct due diligence efficiently enough. Finding information and answering questions should be quick, easy, and reliable.\n\n### **Clarum is here**\n\nClarum provides AI-powered due diligence solutions that enable fast, transparent, and reliable insights from your entire data repository, for more data-driven processes.\n\nUsing Clarum takes minutes to set up.\n\n1. Import your data from your VDR, shared drive, or local computer.\n2. Upload an existing due diligence questionnaire.\n3. Watch Clarum answer 100s of questions with full transparency in minutes.\n\nHere’s what Clarum can do:\n\n**Reliable and traceable answers -** Answer questions using your entire knowledge base, where every number or sentence is linked back to its source document for full traceability.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/df101c73-a679-4a78-8f56-395da9a45d46)\n\n**All your data in one place -** Quickly import data from various sources, including VDRs, shared drives, and local files.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/24f66946-a567-4d48-ad4f-d53235527346)\n\n**Quantifiable insights from qualitative data -** Answer hundreds of questions from due diligence questionnaires in minutes instead of weeks. Generate follow-up questions and RFIs from the missing information.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/e29484d8-8561-4f85-b647-0ad0d51796bb)\n\n**Find critical data -** Intelligently search for information from all your sources. Find a chart from a PDF, a table from a spreadsheet, or a critical number from a presentation.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/75217982-44fa-4faf-938c-627d903b594b)\n\nAll of this leads to a quicker time-to-insight, giving PE firms using Clarum a competitive advantage.\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/9d56a75e-8694-4e63-8cca-0a3168762c63)\n\nAnton Otaner and Tommy He met via a mutual friend at McGill University. They knew that they would be a great team after they won first place in their university’s hackathon and after many late nights working together.\n\nBefore Clarum, Anton was a blockchain engineer at Mint where he worked on scalable blockchain solutions to secure gated content. He enjoys tackling challenging situations; for instance, he ran 84 km in a snowstorm with a broken arm. Tommy worked on low-latency market connections and trade execution at Tower Research Capital. Before that, he worked on the private intersection of knowledge graphs at Optable, an ad-tech startup.\n\nTheir background is rooted in a tech-first approach, tightly coupled with finance. By constantly keeping up to date and working with the latest technologies, they are convinced that due diligence could be accelerated with AI.\n\n### **Our ask**\n\nWe are confident that we can accelerate your due diligence reliably using AI. If you know anyone working in private equity or wealth management who could benefit from Clarum, please [send them our way](https://mailto:anton@clarum.ai/).\n\nIf you are working in that industry, reach out to us at [contact@clarum.ai](mailto:contact@clarum.ai) or [book a call](https://clarum.ai/demo?utm_source=yc&utm_campaign=launch)!",
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        "body": "**TL;DR** At [Manifold](https://www.manifoldfreight.com/?utm_source=yc&utm_medium=social_media&utm_campaign=yc_launch), we aggregate spot opportunities for carriers.\n\nHi, it's [Oliver](https://linkedin.com/in/oliver-jones-936a0a58) and [Andrew](https://linkedin.com/in/andrew-huff-222b2a21), the co-founders of Manifold. We were early engineers at Convoy (#12 and #50) and where there until the company was acquired by Flexport last Fall. Our broad and recent experience at Convoy has given us deep insights into the complexities of the freight industry. Manifold Freight is our response to simplifying a piece of the $800 billion freight industry. Our first target market is Asset Based Carriers - a radically underserved segment..\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/a0e2f5d7-5651-4bbd-8032-d0d267aed291)\n\n**The Underserved Large Asset-Based Carriers** 🚛\\\nOver the last decade, there has been a surge of tech investment into the freight industry (e.g., Convoy, Uber Freight) - but their focus has been maximizing the margin and capacity of smaller carriers (< 10 trucks). Medium to large Asset-Based Carriers, especially those operating with 50+ trucks, have seen minimal interest from tech despite representing more than \\~60% of the U.S. truckload capacity - roughly 2,600,000 trucks! ([data)](https://www.ooida.com/wp-content/uploads/2021/03/Trucking-Facts.pdf)\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/7b7c81c7-9724-4eba-adc4-bc4b21d048ab)\n\nNowhere is this more apparent than in the $100 billion spot freight market. Existing solutions don’t work well for medium and large Carriers. The spot freight market is fragmented across hundreds of load boards, thousands of brokers, and millions of shippers. For medium and large carriers, this fragmentation creates a logistical nightmare. Finding a single spot freight shipment requires a dispatcher to manually login, filter and compare each load against their fleet and availability. Sorting through thousands of emails, multiple load boards and making many time consuming phone calls.\n\nThe result? Dispatchers go the path of least resistance - large public load boards. They can’t take advantage of the much higher value, _shipper direct_ freight because it’s physically impossible to sort through them all every day. These public load boards take an 18-30% cut of the shipment price that otherwise could have gone to the carrier. For the average medium-sized carrier doing 50 spot loads a week, this represents almost $500,000 in lost yearly revenue (2,600 shipments x $700 × 24% = $462,280).\n\n**The Manifold Solution**\\\nManifold solves this problem by aggregating all available spot freight opportunities, including shipper direct spot freight, into one single dashboard. \n\nFinding and bidding on quality shipper direct freight is easier with Manifold than finding low quality loads on [DAT,](https://www.dat.com/) the current industry standard.\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/9b466bfc-653b-4a74-8947-999518a12251)\n\n**Asks**\\\nIf you have connections in the freight industry; whether they be Carriers, Brokers, or Shippers. Send them our way! We talk freight in our spare time and love it.",
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        "full_name": "He Lu",
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        "title": "❇️ Centauri AI - Modernizing ETL for Finance 🏦",
        "tagline": "Evaluate assets faster and win more deals with our modern data platform",
        "body": "**TL;DR**: [Centauri AI](https://centauri-ai.tech/) is a modern data platform for institutional investors to process and analyze complex investment asset data, starting with Structured Finance. We help investment teams evaluate assets faster and win more deals by turning 2-3 hours of data extracting, mapping, and analysis work under minutes. [Contact us here](https://centauri-ai.tech/).\n\nCheck out our latest demos here:\n\n* Clean and validate complex loan files effortlessly\n* [Draft a deal memo under 10 minutes](https://www.loom.com/share/387a38a2908543a8a90590c87a2358ba?t=22&sid=733daefd-dd1a-496a-b68d-cc6fc6c234b4)\n* Validate growth numbers from multiple docs\n* Covenant compliance certificate analysis\n\n### [🔥](https://emojiterra.com/fire/) The Problem\n\nThe Structured Finance industry suffers from antiquated technology, particularly in mortgage securitization. Lenders and investors deal with inefficient processes, using emails and Excel files to exchange complex information on mortgage-backed securities and other assets. This requires manual or outdated software for data mapping and transformation, consuming significant time (2-3 hours daily) even for experienced professionals. Similar inefficiencies are present in other Alternative Investment sectors like Private Credit, Private Equity, and Real Estate, where analysts wade through extensive documents for deal analysis and portfolio updates.\n\n### ✨ Our Solution\n\nWe envision bringing a modern ETL and data science platform built natively with AI to this traditional industry. Traders and analysts can centralize, standardize, and gain insights quickly from all the data they handle without wrangling with copy-pasting between numerous PDFs and Excel files. We believe that equipped with the right tools purpose-built for data in structured finance, AI agents can perform on par or better than humans on these mundane tasks.\n\n### [⚙](https://emojiterra.com/fire/)️ How it works\n\n**Extract**\n\nDrop your CSV, PDF, or Excel files into our upload hub. The agent automatically detects the structured tables and indexes unstructured text. Later, these tables are ready for data-cutting and modeling.\n\n**Transform**\n\nOur AI agent is built for data mapping. It identifies and explains data fields in natural language and writes code to map them to the desirable output format. \n\n**Analyze**\n\nOur first-of-its-kind analysis agent is equipped with features designed for ad-hoc exploratory analysis. You can auto-run, rewind, or branch out a generative report at any given time to get more insights easily.\n\n![uploaded image](/media/?type=post&id=79657&key=user_uploads/1522478/a89bdb32-0d3f-452e-9985-e5eafc99bb18)\n\n**Present**\n\nWe support exporting the transformed data and analysis findings as a nice dashboard or customized in your way, such as in well-formatted Excel sheets. More customized-style exporting is on the roadmap!\n\n![uploaded image](/media/?type=post&id=79657&key=user_uploads/1522478/60fba13c-b340-4ac1-8b6b-abe23f589b28)\n\n### Our Team\n\nWe are [He](https://www.linkedin.com/in/he-lu-63666852/), [Milan](https://www.linkedin.com/in/milan-shen-860b5062/), and [James](https://www.linkedin.com/in/jameswu1991/). \n\nHe was the co-founder and CTO of Blue Water Fintech, which generated $18M ARR before being acquired in 2022. He experienced the inefficiency of data processing and analytics tasks firsthand when he managed 5 institutional trading books as a portfolio manager.\n\nAfter obtaining a PhD in Statistics from Stanford, Milan led DS for Pricing and Forecasting, powering over 1 million listings at Airbnb. More recently, at Meta, as a research scientist manager, she led the deployment of Facebook Ads system’s first privacy-preserving AI solution (approx $0.5B+ yearly incremental revenue).\n\nJames is a UC Berkeley Alumni in Computer Science and was a Director of Engineering at Tubi, hired the Platform Eng Team managing a >1500c autoscaling K8s cluster and oversaw costs for a $x0M/year tech budget. He was also Principal Engineer at Minted as a full-stack DevSecOps developer.\n\nTogether, we’re excited to help bring the modern data stack powered by AI to financial firms.\n\n![uploaded image](/media/?type=post&id=79657&key=user_uploads/1522478/136f0f03-3e33-4551-8cce-f80795f5dca9)\n\n### 🙏 Asks\n\n* If you are in the financial industry and processing large amounts of Excel and PDF files is part of your daily life, we would love to hear your product feedback! Please [book a demo here](https://docs.google.com/forms/d/e/1FAIpQLScu7V4vCg8vpWBolMrHT2HgxXujsOyeKt41IG3vqMJteJGMgQ/viewform).\n* If you know any leaders in investment firms such as private credit or private equity, please connect us!\n* If you know any Directors or VPs responsible for trading or managing Whole Loans, Mortgage Backed Securities (MBS), Collateralized Mortgage Obligations (CMO), or Asset Backed Securities (ABS) in any banks or asset management firms, please connect us! Email us at [he.lu@centauri-ai.tech](mailto:he.lu@centauri-ai.tech)",
        "url": "https://www.ycombinator.com/launches/Kin-centauri-ai-modernizing-etl-for-finance",
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        "full_name": "Ishaan Kapoor",
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        "id": 88079,
        "title": "Chunkr: Open Source Document Parsing You Can Own",
        "tagline": "Vision infrastructure to turn complex docs into LLM/RAG-ready data",
        "body": "Hi all, we’re Mehul, Ishaan and Akhilesh - co-founders of [Chunkr](https://chunkr.ai/). \n\n**TLDR:** We built Chunkr to solve the one-size-doesn't-fit-all problem in document parsing for RAG/LLM applications. **Get granular control over your pipeline to balance speed, quality and features - like a tool you built in-house, minus the headache.**\n\n<https://www.youtube.com/watch?v=2Iy5ssyeneA>\n\nWe were initially building Lumina, the AI search engine for scientific literature. The biggest undertaking was developing a document ingestion pipeline that could process \\~600M pages of scientific literature and extract everything we needed to build a great RAG experience. The OG \"deep research\".\n\nDocument processing solutions on the market couldn't deliver the performance, observability and features needed to win our trust. So we built parsing in-house - and spent so much time fighting foundational problems that we pivoted to solve the underlying challenge itself. **That's how Chunkr was born - with a singular goal to build document ingestion infra that devs can love.**\n\n# **The Problem**\n\nWe released an API and easy to self-host pipeline in October 2024 as a test and didn’t expect much. What we ended up with was a very viral launch (400K impression) - and a year worth of learnings condensed down to 2 weeks. \n\nBy Nov 2024 - we had processed documents across verticals like healthcare, finance, research, government, education and hardware for RAG/LLM use-cases. Beyond common issues like bounding boxes for citations, accurate HTML/MD extraction, and chunking - it became clear that document parsing isn’t one size fits all.  Some of the cases we ran into: \n\n\"I just need fast, simple full page OCR - leave out the rest\"\n\n\"We need custom VLM processing for specific pages/segments (formulas, chart-to-table conversion)\"\n\n\"Give us high-res crops of specific document sections\"\n\n\"Everything must run in our self-hosted VPC\"\n\n“Can we apply our own chunking strategy”\n\n# **The Solution**\n\nChunkr gives you “knobs” to balance **speed**, **quality**, and **features** depending on your use case - like a tool you built in-house, minus the headache. Being open source means minimal lock-in, and a variety of integration options. \n\n**_🧩 Working at the segment level_**\n\nThis is where layout analysis really shines. Break a page into bounded titles, tables, formulas, captions etc (we call these segments) - and the downstream processing options are vast. \n\nEach segment can be configured differently: fast OCR for text, VLMs for complex elements like tables and formulas, optional high-res image cropping, custom prompts for charts and image descriptions.\n\n![uploaded image](/media/?type=post&id=88079&key=user_uploads/1371678/766f2d65-e01b-43ff-acb6-ffed1df4b697)\n\nAbstractions have been kept to a minimum while maintaining a smooth DX. It’s everything you could need for generating great RAG data on your own terms. \n\nAt a higher level - you can configure a host of other options like layout analysis provider and chunking strategy. No matter how gnarly the document is, there’s a config that can work! Another great advantage is a pipeline that can stand the test of progress. As VLMs improve every week - Chunkr gets better as well. \n\n**_🛠️ Production ready API / Self-host_**\n\nThe pipeline comes with all the last-mile engineering you need for production use-cases. We’ve built it all in Rust to offer great performance & reliability. Tasks like image conversions, page parallelization, reading order, failure handling and batching are taken care of. \n\nSelf-hosting is simple with ready to go dockers + helm charts. Processing speed is  around 4 pages per second on a single RTX 4090, which is enough to handle over 11 million pages per month. Renting that hardware on Runpod costs about $249/month, so the math is pretty compelling. \n\n![uploaded image](/media/?type=post&id=88079&key=user_uploads/1371678/22a8f22e-ee67-43d7-b82e-808374f382dc)\n\n# **Asks**\n\n**Try out **[**Chunkr (https://chunkr.ai/)**](https://chunkr.ai/)** - and **[**share feedback**](https://cal.com/mehulc/30min)** with us.** We support PDFs, office file types (docx, ppt, excel), and images. Get started for free with our no-code playground, raw post requests, or use our python package! Our dashboard gives you all the visibility needed to evaluate quality in seconds. \n\n[**Give our repo a star! (https://github.com/lumina-ai-inc/chunkr)**](https://github.com/lumina-ai-inc/chunkr)\n\n**Email: **[**team@chunkr.ai**](mailto:team@chunkr.ai)\n\n![uploaded image](/media/?type=post&id=88079&key=user_uploads/1371678/ee3ebfdf-2f3b-4321-b249-e8a99abb8ccc)\n\n",
        "url": "https://www.ycombinator.com/launches/Mud-chunkr-open-source-document-parsing-you-can-own",
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        "created_at": "2025-02-26T20:44:24.803Z"
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      {
        "id": 77459,
        "title": "⚛️  Lumina - Accelerating Research with AI  🚀",
        "tagline": "🧠  We help researchers build a knowledge base in minutes.",
        "body": "👋 Hi everyone, we’re Mehul, Ishaan & Akhilesh - the founding team behind [Lumina.](https://www.lumina-chat.com) Our research suite leverages LLM’s to help >8000 researchers discover, validate and curate scientific literature.\n\n![uploaded image](/media/?type=post&id=77459&key=user_uploads/1371678/0483ddd4-8e6a-4b50-a672-daa952488356)\n\nMehul is a Materials Scientist and worked in Atom Probing R&D, Akhilesh is a national robotics champion and has experience as a Cloud Solutions Architect, and Ishaan studied AI and worked as a Data Engineer. \n\n❓ **The Problem:** _Why does research take so long?_\n\n[Science is slow.](https://www.lumina-chat.com/share/chat/91c1d8d7-a68b-489e-8818-b2f24a5d1625) Most research, whether academic or in industry, takes months or years to do. Researchers have to dig through 100s, if not 1000s of scientific papers during this process, and have to vet and extract key insights that are relevant to their project. \n\nAs of now, a majority of the community depends on basic key-word search and manual skimming processes to do so - while wrestling paywalls. This can take anywhere from weeks to years.\n\n💡 **The Solution:** _An AI-powered Research Suite_\n\nWe want to give researchers more time to do what's important. Lumina helps them cut the discovery and validation process down to minutes.\n\n<https://youtu.be/uX-Y7_LcWhI?si=LwZ8JgcExuwcjz4V>\n\nSome key features are:\n\n* 📚 **Mini Lit-Reviews:** Our answers find the most relevant sources for your query, and cite the key sections used from each journal article.\n* 📊 **Tables:** Extract key information from every source from the search - create a custom query, or use a preset to speed things up.\n* 🤖 **Agents:** Query multiple papers at once - connect our library and your collection for complex research tasks.\n\n🌟 **Vision:** _Speed up the entire scientific process_\n\nWe will be augmenting the entire scientific process with AI. We’re building tools that will speed up data analysis, simulate experiments to generate data, bring multimodality and even write entire systematic reviews in one-click. The goal is to create an AGI-like experience for scientific research.\n\n🙏 **Our Ask:**\n\n📢 Try Lumina and let us know your thoughts!\n\n🤝 Connect us to academic and private research groups.\n\nHere’s a Calendly link for a short 15 min convo:\n\n📅 <https://calendly.com/mehul-yem/lumina-experience-interview>\n\n📧 You can reach us at [mehul@lumina-chat.com](mailto:mehul@lumina-chat.com)\n\nWe’re also providing a 50% discount for Lumina Plus to celebrate our launch! Simply use this code on checkout: LAUNCHYC24",
        "url": "https://www.ycombinator.com/launches/K9L-lumina-accelerating-research-with-ai",
        "votes": 18,
        "created_at": "2024-01-11T22:15:26.977Z"
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        "full_name": "Ben Hylak",
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        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/3rxDvcR-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
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        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/ogWQ7fP-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "3+ years",
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        "id": 86080,
        "title": "ML Engineer",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/XJQYwdR-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "TypeScript",
          "Torch/PyTorch"
        ]
      },
      {
        "id": 86172,
        "title": "Developer Experience Engineer",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/a4Vqw1I-developer-experience-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92605,
        "title": "Founding Recruiter",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/EA7fuNw-founding-recruiter",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$150K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97728,
        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/jYbAqIG-forward-deployed-engineer-fde",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$130K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102883,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/bSz5bJR-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $140K",
        "equity_range": "0.08% - 0.22%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103341,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/7vLpHZX-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $110K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Building the Safety Layer for AI Agents",
        "url": "https://www.youtube.com/watch?v=5XO7ZEOGpJc",
        "date": "Sep 17, 2026"
      },
      {
        "title": "Raindrop raises $35M to monitor agents",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2026/09/16/raindrop-crv-lightspeed-datadog",
        "date": "Sep 16, 2026"
      },
      {
        "title": "Want to Know Why Your AI Agent Failed? There’s AI for That.",
        "url": "https://www.wsj.com/articles/want-to-know-why-your-ai-agent-failed-theres-ai-for-that-97a680be?gaa_at=eafs&gaa_n=AWEtsqdVmkMV2k7Sr_6KuR-BriI6nYI0WCuGV3kEnBFT-4QtLWIlapfZirpiHmgMeZ0%3D&gaa_ts=692e0171&gaa_sig=Xz1Zn2-He_brIjMQ9KK2JJUefbMrCjyW_AxqdIaMiylie5nJ5y12wKpTKjezNNlZrwKLcfsPZqocvU0KWcOtZw%3D%3D",
        "date": "Dec 01, 2025"
      }
    ],
    "launches": [
      {
        "id": 91457,
        "title": "Raindrop Deep Search",
        "tagline": "Deep Research for your Production AI Data",
        "body": "https://www.youtube.com/watch?v=pN82WxN-_G0\n\nToday, we're excited to launch Raindrop Deep Search\n\nIt’s like Deep Research for your Production AI Data\n\nSearch for anything, and Raindrop automatically trains little models to accurately classify any topic or issue, across millions of events.\n\n𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺\n\nWe’ve heard from thousands of AI engineers and they’re struggling to track issues with their agents.\n\nImagine a user reports a problem: your agent is saying it can’t search the web for documentation. You need to know if this is a one-off problem or a much bigger issue… but how? Keyword search, or even semantic search, doesn’t tell the full story.\n\n𝗖𝗮𝗻’𝘁 𝘄𝗲 𝗷𝘂𝘀𝘁 𝘂𝘀𝗲 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗘𝘃𝗮𝗹𝘀?\n\nOffline evals work well as unit tests. But since they’re running on preset data, you have no visibility into what’s actually happening in production.\n\nOnline evals just run these unit tests on a tiny sample of production data, leaving you blind to how widespread problems are.\n\n𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗥𝗮𝗶𝗻𝗱𝗿𝗼𝗽 𝗗𝗲𝗲𝗽 𝗦𝗲𝗮𝗿𝗰𝗵\n\nThat’s why we built Deep Search. It’s like Deep Research for your production data.\n\nHow Deep Search works:\n\n1\\. Describe the issue (eg. agent failing to search the web)\n\n2\\. Deep Search finds examples out of millions of events\n\n3\\. Refine search with feedback\n\n4\\. Start tracking the issue\n\nDeep Search runs across all of your production data to give you an accurate metric of issue frequency.\n\nTraditional classification systems require humans to manually label thousands of data points. So to achieve this, Raindrop Deep Search introduces a new research breakthrough, bespoke few-shot classifiers, which only need a few examples.\n\nIt’s essentially bootstrapping weaker systems from stronger systems, ultimately training custom small models that analyze millions of events a day. You can think of it like creating materialized views for natural language.\n\nOnce you start tracking the issue you can use Raindrop to dive into traces and tool calls to find the root cause. And you can quickly confirm whether your fixes are effective by monitoring issue frequency and receiving real-time Slack alerts.\n\nYou can try out Deep Search at [raindrop.ai](http://raindrop.ai). \n\nWe’re excited to hear what you think!\n\n![uploaded image](/media/?type=post&id=91457&key=user_uploads/309605/b1eda0eb-8816-487f-a4f3-36bdaf02bb0b)\n\n",
        "url": "https://www.ycombinator.com/launches/Nn7-raindrop-deep-search",
        "votes": 10,
        "created_at": "2025-06-19T21:08:03.825Z"
      },
      {
        "id": 89925,
        "title": "Raindrop - Sentry for AI Products",
        "tagline": " AI engineers use Raindrop to get alerts about hidden issues and wins in their AI products.",
        "body": "[https://youtu.be/IS7akU_3AnI](https://youtu.be/IS7akU_3AnI?feature=shared)\n\nAl products fail constantly—in ways both hilarious and terrifying.\n\nMeet **Raindrop**: the first Sentry-like monitoring platform for Al products.\n\n**The Problem**\n\nRegular software throws exceptions. But Al products fail silently.\n\nThese issues can be serious:\n\n* [Figma had to roll back their AI design product when it copied Apple’s designs, and they haven’t relaunched since](https://techcrunch.com/2024/07/02/figma-disables-its-ai-design-feature-that-appeared-to-be-ripping-off-apples-weather-app/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAM5aRTBjXhPXfaoMBpoQxL9si-7R3qfaTR4r-n_mdzKu31uB6rUYGjE31z0H4aHVY1LlchyZ7r76Pufga45IMGKwFz0IxZ7eo-g2z1sYsta94AVsSj5CYjf6NKRd3m43VgSGLrG_IfdqMKtlFDuBvimRfLyF_aqb19vPgl-8B7eD)\n* [Air Canada got sued — and lost — when their chatbot incorrectly offered a customer a refund](https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/)\n* [Virgin Money came under fire when their chatbot scolded customers for using the company name, ‘Virgin’](https://www.latintimes.com/virgin-money-forced-apologize-after-chatbot-threatens-cut-off-bank-customers-who-use-word-573885#:\\~:text=Fintech%20commentator%20David%20Birch%20shared,reported%20by%20the%20Financial%20Times)\n\nDon’t make the same mistake.\n\nThe current status quo is sifting through millions of logs and trying debug flaky evals. Evals are straightforward - like unit tests, they confirm your model got specific test cases right. But in the real world AI chatbots and agents encounter millions of unpredictable actions. AI companies need powerful monitoring to discover production issues so they can create reliable AI products that don’t just pass tests, but genuinely resonate with users.\n\n**Solution**\n\nRaindrop sends you alerts when your AI misbehaves and links straight to the events, so you can dig into the conversations or traces, understand the root cause, and fix it, fast.\n\nDaily Alerts Include\n\n* **Issues**: detects issues like Assistant Forgetting, Laziness, Task Failure, User Frustration, and more depending on the type of app\n* **Wins**: surfaces what your product does well, so you can double down on those experiences and create evals\n\nThe Pro tier lets you go even further with:\n\n* **Custom Issues / Topics**: define and track any issue or topic\n* **Topic Clustering**: clusters data in real time to find your AI product’s most popular use cases, and what use cases have the most issues\n* **Signals**: finds patterns in explicit signals like thumbs up / thumbs down\n* **Deep Research:** deep research for your production data, letting you use natural language to search for any kind of behavior\n* **Traces**: track every step of your AI call\n* **Edge PII Redaction**: intelligently strip PII from any user and model messages\n* **Dataset Creation**: create custom datasets out of any set of events\n\nCompanies like [Clay.com](http://Clay.com), Tolans, Websim, and more have been using Raindrop to improve their AI products. They’ve been able to quickly iterate on fixes, see how issue incidence rates decrease in production, and confidently ship changes.\n\n“Raindrop has been invaluable as we've been growing quickly. It's critical for us to keep issue incidence below an acceptable threshold and become aware of any spikes. **It's like if we see an iOS crash report in Sentry, but for our AI capabilities.”** -Evan Goldschmidt, CTO Tolans\n\nLearn more about how Tolan uses Dawn [here](https://www.raindrop.ai/case-studies/tolans), and check out case studies with [New Computer](https://www.raindrop.ai/case-studies/new-computer) and [Unstuck AI](https://www.raindrop.ai/case-studies/unstuck).\n\nYou can get started [here](https://www.raindrop.ai), excited to hear what you think :)\n\n![uploaded image](/media/?type=post&id=89925&key=user_uploads/309605/d77c5ea9-2b73-4455-96a6-db02c319651c)\n\n",
        "url": "https://www.ycombinator.com/launches/NOP-raindrop-sentry-for-ai-products",
        "votes": 11,
        "created_at": "2025-04-28T20:25:57.382Z"
      },
      {
        "id": 79667,
        "title": "Dawn - Analytics for AI products",
        "tagline": "We transform user requests and model outputs into metrics you actually care about.",
        "body": "Hey everyone!\\\n\\\nI’m [Zubin](https://twitter.com/snarkyzk), from dawn. Excited to share what we’ve (me, [Ben](https://twitter.com/benhylak), & [Alexis](https://twitter.com/alexisgauba)) been building.\n\n[Dawn](https://www.dawnai.com/) is analytics for AI products. We transform user inputs and model outputs into metrics you care about, letting you make meaning out of billions of tokens.\n\n**AI Companies love us for**\n\n* User Segmentation: automatically group users by behavior\n* Understanding Churn: see how requests (or responses) cause users to churn\n* Categorizing Search Requests: tag user requests + use categories in-app\n* Content Moderation: identify + remove harmful content\n* Flagging Bad Responses: track user requests that are vague, don’t match the source language, or anything else\n* Track any use case: discover categories from unstructured data\n\n_(It's not just for Al companies. Dawn can categorize just about anything! — _[_contact us_](https://wv6y9hc66q4.typeform.com/to/qHmrVeA3)_ to chat)_\n\n**How it Works**\n\n1. **3 lines to integrate:** with one line of code, you can start sending user data from your app to dawn (and even get back categorizations!)\n2. **Define categories:** Dawn automatically discovers categories from your raw data. You can also define your own. You can delete, edit, reorganize, and create new categories at any time.\n3. **Self-improving, on the fly:** Dawn constantly gets better at understanding your data. 
A simple feedback interface gives your team visibility and control over categorization.\n4. **Connects to your existing analytics:** we have plugins for Snowflake, Mixpanel, Slack, Amplitude, and more -- so you can track whatever you want, wherever you want.\n\n\\*\\*What early users say about us:\\*\\*\\\n“I’m feeling a total a-ha moment with this. Truly cool to see.” - Gabriel Birnbaum, Can of Soup\\\n\\\n**Let’s work together**\\\nReach out at [zk@dawnai.com](mailto:zk@dawnai.com), or sign up for a demo [here](https://wv6y9hc66q4.typeform.com/to/qHmrVeA3). We’d love to hear from you!\n\n![uploaded image](/media/?type=post&id=79667&key=user_uploads/1668573/86bc4a34-fc8f-469a-9d07-de695eb11bc3)\n\n",
        "url": "https://www.ycombinator.com/launches/Kix-dawn-analytics-for-ai-products",
        "votes": 21,
        "created_at": "2024-03-25T15:28:55.097Z"
      }
    ]
  },
  {
    "id": 29404,
    "name": "Diana",
    "slug": "diana",
    "former_names": [
      "DianaHR"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/020f142d48a9efde3733971776a68c441557dfe7.png",
    "website": "https://getdiana.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The first business-ready OpenClaw platform. A secure AI assistant embedded directly into Slack.",
    "one_liner": "Give Your Employee An Employee",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1706475260,
    "tags": [
      "Productivity",
      "SMB",
      "Operations",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/diana",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/diana.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getdiana/",
    "x_url": "https://x.com/getdiana",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/020f142d48a9efde3733971776a68c441557dfe7.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5188108d58ba66cadccba2f67ac385cbc19c6139.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0633e13cdc4f006028908d59a5ad054b4b713ab3.png"
    ],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 128506,
        "full_name": "Upeka Bee",
        "title": "Founder/CEO",
        "founder_bio": "Upeka is the co-founder and CEO of Diana. Before Diana, she was Head of Engineering for Gusto's HR Platform, and before that, Salesforce and a string of startups.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/upeka/",
        "x_url": "https://twitter.com/upekabee",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c99381b1238cb20482c9e6ec548e0acb1d74129.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "DianaHR Raises $3.7M Seed Round to Redefine HR for Startups with AI Agents | DianaHR",
        "url": "https://www.getdianahr.com/blog/dianahr-raises-3-7m-seed-round-to-redefine-hr-for-startups-with-ai-agents",
        "date": "Sep 15, 2025"
      }
    ],
    "launches": [
      {
        "id": 99731,
        "title": "Diana - Give Your Employee An Employee",
        "tagline": "The first business-ready OpenClaw platform. A governed AI assistant for every employee, embedded directly into Slack.",
        "body": "Hey YC! 👋\n\nWe're [Upeka](https://x.com/upekabee) and [Dilan](https://x.com/dilan), co-founders of [Diana (W24)](https://x.com/getdiana).\n\nEvery OpenClaw today is an intern with root access and no oversight. ☠️🏴‍☠️\n\n**So we built the first one that has a boss.** 🦞\n\nDiana is a business-ready OpenClaw with a Governor monitoring every action - that can shut it down mid-task, before damage is done. \n\n<https://www.youtube.com/watch?v=sdka6JW9QK0>\n\n**TL;DR:**\n\n**🛡** Diana is a business-ready OpenClaw with a Governor monitoring every action\n\n**⚡** Connect 3,000+ tools via API, or log into any app via Browser Logins\n\n**🔒** Per-user credential isolation. Every employee gets their own sandboxed agent\n\n**🏗** Built by engineers from Google, Gusto, MIT, CMU, and Yale\n\n## **The Governor**\n\nHere's the thing about OpenClaw: it talks directly to your tools. Slack, Notion, your APIs. No filter. No oversight. If it hallucinates or gets prompt-injected, it acts on your systems before anyone can stop it.\n\n**Diana never talks to Slack, Notion, or your APIs directly.**\n\nEvery action routes through the Governor first. It checks intent, filters output, and watches for drift in real-time. If something is off, the Governor kills the action before it reaches your systems. Not after. Before.\n\nThe architecture:\n\n→ Slack ingress hits the Governor (trust boundary)\n\n→ Governor routes to isolated agent sandboxes\n\n→ Agent has zero DB access, zero secrets\n\n→ Every LLM and tool call goes back through the Governor\n\n→ Governor filters output before it reaches Slack\n\n## **3,000+ Integrations + Browser Logins**\n\nDiana connects to Slack, Google Workspace, HubSpot, Stripe, Notion, Linear, GitHub, and thousands more via API.\n\n**And if there is no API? Diana logs in with a browser, just like you would.**\n\nHRIS portals, benefits platforms, 401k providers, state registration websites. If you can click it, Diana can work it. All through the Governor.\n\n![uploaded image](/media/?type=post&id=99731&key=user_uploads/128506/e04c3454-71cc-4c21-a942-3ba81aa51cd3)\n\n## **Give Your Employee Their Own Employee**\n\nDon't replace your team. Give them superpowers.\n\nDiana is simple to install and use: Install to Slack → connect your tools → **just ask**:\n\n**_→_** _\"Show me our Hubspot pipeline by stage and expected close date\"_\n\n**_→_** _\"Build me a revenue dashboard in Google Sheets for our March Investor Update. Send me a revenue dashboard every month.\"_\n\n**_→_** _\"Review these 5 invoices against the tracking spreadsheet let me know if there are any discrepancies\"_\n\n**_→_** _\"Every Monday at 9am, send me a summary of the #general Slack channel from last week\"_\n\n**_→_** _\"Onboard Sarah Chen as Senior PM into HRIS Payroll. Here’s the offer letter.\"_\n\n**Diana works across finance, operations, sales, product, engineering, marketing, and HR. Built for every employee on earth. Hire humans, and help them to 10x.**\n\n![uploaded image](/media/?type=post&id=99731&key=user_uploads/128506/48d04c0d-9f5e-4983-80a5-d3a5382d8eb3)\n\n## **The Backstory**\n\nBefore Diana, we built DianaHR, a fractional HR service for SMBs. Running that business, we saw firsthand how much time operations teams waste on repetitive tasks: onboarding new hires into HRIS systems, chasing unsigned documents, answering the same benefits questions, filing state registrations.\n\nWhen OpenClaw exploded, we saw the opportunity: an AI agent that could actually do this work. But the security gaps were a dealbreaker for business use. So we built a Governor on top, added per-user credential isolation, and created Browser Logins so Diana could work with tools that don't have APIs.\n\nBacked by Y Combinator (W24), General Catalyst, and SNR Ventures. Built by a team from Google, Gusto, MIT, Carnegie Mellon, and Amazon.\n\n**And this is just the start. Our goal is an AI employee so trusted you can hand it an entire business function and let it run.**\n\n## **Our Asks**\n\n**Try Diana for free.** If you want an OpenClaw agent AND peace of mind: [**getdiana.com**](http://getdiana.com)\n\nFor YC founders we are giving one month free of our assistant tier. Ping me on Bookface or email for a code!\n\n**Feedback.** If you try Diana and something breaks or feels off, tell us. DM me on Slack, email [upeka@getdiana.com](mailto:upeka@getdiana.com), or find me on X at @upekabee\n\nLet's go. 💚\n\n![uploaded image](/media/?type=post&id=99731&key=user_uploads/128506/8868ea14-86aa-45c3-916e-6a194d45de54)\n\n",
        "url": "https://www.ycombinator.com/launches/PwZ-diana-give-your-employee-an-employee",
        "votes": 5,
        "created_at": "2026-04-14T16:01:32.173Z"
      },
      {
        "id": 77951,
        "title": "✅ DianaHR - Give us your people ops and take back your time",
        "tagline": "Put your company's people ops on autopilot and save 10+ hours a week",
        "body": "Hey everyone! We are [Tim](https://www.linkedin.com/in/tim-kral-512b5b3/) and [Upeka](https://linkedin.com/in/upeka) and today we are launching [DianaHR.](https://getdianahr.com/) We offer businesses an expert HR and Operations team to **manage tedious people ops tasks.**\n\n**Tl;dr**\n\nWe are building a better way to support business owners with back-office tasks like compliance, HR, state registrations, employee onboarding/offboarding, and payroll and benefits administration. We add a human expert to your team, who'll run everything using your own software tools. Prices start at $99/month.\n\n**❌ The Problem** \n\nOnce you hire your \\~5th employee, you find yourself spending hours each week dealing with people ops - managing all the software yourself, spending hours on the phone with customer support, and pulling your hair trying to deal with those state registration letters. You signed up for a PEO hoping things will get better, but you don’t have any control and spend more hours dealing with their central hotline. \n\nAll you want is to focus on your business. And all this stuff gives you anxiety and you worry that you are doing something wrong. Just to make things worse, New York State has sent you a letter with a $10,000 fine.\n\n![uploaded image](/media/?type=post&id=77951&key=user_uploads/128506/d50c0995-aa60-4326-8160-f7426de967ad)\n\n**✨ Our Solution**\n\nMeet DianaHR. We offer you a fractional HR and Ops team that has seen it all. They will do what’s needed to keep you compliant, take busy work off your plate, and help you and your team focus on what matters - your business. Prices start at $99/month and are tailored based on your company's needs. Behind the scenes, we have a series of AI assistants to help scale our DianaHR experts. \n\n![uploaded image](/media/?type=post&id=77951&key=user_uploads/128506/026703cd-3aaa-439f-ac9f-e22d0ab601db)\n\n\\\n**🧑🏻‍🍳 Who We Are**\n\n![uploaded image](/media/?type=post&id=77951&key=user_uploads/128506/d91c3663-d7dd-4180-9ccc-2d902728af27)\n\nWe are Tim and Upeka. \n\nWe met at Carnegie Mellon 17 years ago. This is the third time we have worked together. \n\nBefore DianaHR, Upeka was at Gusto where she was the Head of Engineering for their HR platform. Her teams built the feature set that put Gusto on the map as an HR provider beyond payroll and benefits. Before that, she worked at Salesforce and other startups. \n\nTim was the VP of Engineering at Relay Payments, a FinTech startup. Before that, he worked as an engineer at Salesforce, Medium, and other startups. \n\n**🙌 Our Asks**\n\n* Share this with anyone you know who does compliance and HR back-office tasks and needs help! Book time [here](https://calendly.com/upeka/30min) to discuss. \n* You can follow us on [LinkedIn](https://www.linkedin.com/company/dianahr).\n\nEmail us to [founders@dianahr.ai](mailto:founders@dianahr.ai), for any questions.",
        "url": "https://www.ycombinator.com/launches/KHH-dianahr-give-us-your-people-ops-and-take-back-your-time",
        "votes": 52,
        "created_at": "2024-01-30T02:40:38.048Z"
      }
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    "id": 29405,
    "name": "Risotto",
    "slug": "risotto",
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      "OttoHelm"
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    "website": "https://tryrisotto.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Want to apply AI to your IT Helpdesk queue? Risotto helps you grant software access, limit access/permission grants by time, serve knowledge, and get approvals from people like managers. All using natural language directly in chat (AKA \"ChatOps\")\r\n\r\nIT teams spend too much time manually provisioning software and answering the same question repeatedly. We help them improve resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support. Check us out at: https://www.tryrisotto.com",
    "one_liner": "Risotto auto-solves IT support requests using AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1709248167,
    "tags": [
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      "Compliance",
      "Security",
      "Enterprise",
      "AI"
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    "regions": [
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      "America / Canada",
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    "url": "https://www.ycombinator.com/companies/risotto",
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    "year_founded": 2023,
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    "country": "US",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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      {
        "user_id": 607082,
        "full_name": "Aron Solberg",
        "title": "Founder",
        "founder_bio": "Aron is the founder and CEO of Risotto. When not working on his company he enjoys getting outdoors at every opportunity including hiking, skiing, and sailing. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aronsolberg",
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      {
        "user_id": 1380843,
        "full_name": "Alex Confer",
        "title": "Founder",
        "founder_bio": "Co-founder of Risotto! Formerly Hellosign, Dropbox, Gusto. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aconfer",
        "x_url": "https://twitter.com/aconfer",
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      {
        "user_id": 784345,
        "full_name": "Chris Paul",
        "title": "Founder",
        "founder_bio": "CTO and co-founder of Risotto. Formerly engineer and lead at HelloSign (YC11), interviewing.io, and Square.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/cmpaul/",
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    "launches": [
      {
        "id": 78931,
        "title": "Risotto: The new AI-enabled IT help desk in Slack",
        "tagline": "Turn any Slack Channel into an automated IT help desk in 60 seconds ",
        "body": "# **🏆** Tl;dr:\n\n[Risotto](https://www.tryrisotto.com) automatically solves IT support tickets using AI. We help IT teams improve their resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support, all directly in Slack.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/1932cf98-d844-41b5-83f3-210c96b453a6)\n\n# Meet the Team\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/e5b07a88-94f0-402e-bb58-8330605a7cec)\n\n[Aron](https://www.linkedin.com/in/aronsolberg/), [Alex](https://www.linkedin.com/in/aconfer/), and [Chris](https://www.linkedin.com/in/cmpaul/) met almost 10 years ago at HelloSign (YC11) as early employees.\n\n* Alex led the HelloSign IT team through the acquisition by Dropbox and later led IT engineering at Gusto.\n* Chris has a 25-year history as a software engineer and leader, most recently at Square.\n* Aron was also an early engineer at HelloSign before he shifted into Product Management, and later served as a Director of PM at Dropbox, and a PM lead in ML at Grammarly\n\nCollectively they have over 30 years of experience in enterprise B2B SaaS software. The team says they’re “excited to be building the IT product Alex always wanted, but has never been able to find.”\n\nCheck out automated 24/7 IT support with Risotto! ⬇️ ⬇️ ⬇️\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/8345b5cd-5e3e-4cf5-acd9-0054766f9de5)\n\n_Risotto learns the answers to common questions for automated 24/7 resolutions_\n\n# **❌** The Problem\n\n🕒 IT teams spend too much time manually provisioning software and answering the same question repeatedly\n\n💸 Manually provisioning SaaS accounts inflates license costs because there’s a tendency to over-provision\n\n🦹 Security suffers as software accounts proliferate\n\n😫 Quarterly user access reviews for SOC 2 compliance add additional overhead for IT to manage\n\nThese types of problems are a waste of time for people to solve but are perfect for automation. One of our co-founders [Alex](https://www.linkedin.com/in/aconfer/) saw this play out constantly while running IT at Gusto and Dropbox which inspired us to do something about it!\n\n# **📈** The Solution\n\n<https://youtu.be/yOiDQEExDVE>\n\n_Turn any Slack Channel into an automated IT help desk in 60 seconds_\n\nOut-of-the-box Risotto integrates with Slack, and IDPs like Okta to manage software groups and provide three major feature pillars to make IT teams awesome\n\n### “ChatOps” Helpdesk in Slack\n\nRisotto turns any Slack channel into a 24/7 automated help desk in 60 seconds. Embrace “ChatOps” to minimize context switching for employees and IT. All chat threads are backed by a digital ticket with control handled through natural language and emojis.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eaba27d2-ab79-4029-9592-b13b31df8ffc)\n\n_You’ll love seeing the green check marks pile up as Risotto solves tickets right in front of your eyes_\n\n### Automated Software Access Management\n\nGain the benefits of software **approvals** and **time-based access** with our powerful access rules engine. All these rules can be configured per department to ensure everyone gets the right level of access.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/24a9a446-eba6-40ba-855e-6edb25d1fab7)\n\n_Time-based access is a piece of cake with Risotto_\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/3664b78b-717a-4b99-9b4b-a910579eb3fc)\n\n_Get important and expensive software approved to ensure it’s really needed_\n\n### Streamlined User Access Reviews\n\nYour SOC 2 quarterly access reviews will fly by with Risotto. We offer easy tracking and review of software to ensure you always keep tabs on who has access and why\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/dd5f3249-8166-4c99-80ba-87e6065a6c3e)\n\n### Risotto’s benefits\n\n📈 Risotto improves the key metrics that IT teams care about, such as time-to-resolution (TTR), time-to-first-response (TTFR), and employee satisfaction ratings\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eb256bc0-2e46-4265-bb61-4370cca79cf2)\n\nRisotto also provides numerous other benefits including:\n\n1️⃣ A unified IT support funnel to reduce context-switching\n\n⏩ Faster resolutions\n\n💰 Lower SaaS costs with on-demand provisioning\n\n🔐 Better security with timed access, and swift compliance reviews\n\n# Learn More and Try out Risotto\n\nWork in IT and want to try our Risotto? Reach out we’d love to talk! We think the future of IT support is conversational, and AI can help.\n\n* Email us at [founders@tryrisotto.com](mailto:founders@tryrisotto.com)\n* Schedule time directly via [Calendly](https://calendly.com/d/32r-55q-4d7)\n* Visit our [website](https://www.tryrisotto.com) and use our contact form\n\nWe love talking about modern IT challenges and we can often provide advice and best practices for navigating sticky problems!",
        "url": "https://www.ycombinator.com/launches/KX5-risotto-the-new-ai-enabled-it-help-desk-in-slack",
        "votes": 152,
        "created_at": "2024-03-01T01:03:31.109Z"
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    "id": 29407,
    "name": "JustAI",
    "slug": "justai",
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    "subindustry": "B2B -> Marketing",
    "launched_at": 1704840202,
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "When we were heading Growth at Twitter, we saw the power of copy changes. **When we tweaked a push notification from “Elon tweeted” to “Elon _just_ tweeted”, we gained 800K additional users.** We never underestimated the power of copy since that day. The company funded it as a big investment in the difficult years when Twitter’s growth was tanking. However, each change would take 3-6 months to pick, test, approve, and ship. We also didn’t know how to use those learnings systematically to prioritize the next copy change. We started building internal tools to automate this and gained 20% additional user growth. We stumbled upon similar problems and “vision docs” at Pinterest. We knew we were staring at money on the table. We quit our jobs to build [just words](https://justwords.ai)."
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      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Today, lifecycle marketing is built on manual effort — copywriters brainstorming variants, data scientists running A/B tests, and marketers trying to make sense of disconnected dashboards. Every campaign is a one-off experiment.\r\n\r\nIn the world we’re building, **AI-marketers** will handle this entire loop — strategy, creation, optimization, and learning — with humans acting as orchestrators, not operators.\r\n\r\n* Campaigns will **self-evolve**: AI agents will detect new opportunities, write and test messages, measure outcomes, and continuously improve.\r\n* Brands will move from **batch campaigns** to **living systems** — always-on, hyper-personalized, cross-channel journeys that adapt in real time.\r\n* Every marketer, no matter their company size, will have access to enterprise-level intelligence — a strategist, a creative, an optimizer, and a data scientist — all in one AI team.\r\n\r\nThe world will shift from “humans using tools” to **humans teaming with AI agents**.\\\r\nAnd in doing so, we’ll make personalization not just scalable, but truly human again — every message relevant, every experience intelligent, every brand empathetic at scale."
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getjustai",
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        "user_id": 1381391,
        "full_name": "Neha Mittal",
        "title": "Founder/CEO",
        "founder_bio": "Neha Mittal is the CEO & Co-founder of JustAI. She was the head of product for Retention & Growth at Pinterest and at Twitter. She also co-founded CityStructure and was the founding engineer at Sensorflow. She has also held product & engineering roles at the Chan Zuckerberg Initiative and Goldman Sachs.",
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        "title": "Full Stack Software Engineer",
        "url": "https://www.ycombinator.com/companies/justai/jobs/BmBq81w-full-stack-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 89155,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/justai/jobs/NOV6eqU-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "title": "Just Words Gets Funding From Peak XV Partners, Y Combinator",
        "url": "https://inc42.com/buzz/former-x-executives-startup-just-words-nets-funding-to-automate-personalised-messaging-for-enterprises/",
        "date": "Aug 27, 2024"
      },
      {
        "title": "YC’s latest Demo Day shows fascinating wagers on healthcare, chip design, AI and more | TechCrunch",
        "url": "https://techcrunch.com/2024/04/04/ycs-latest-demo-day-shows-fascinating-wagers-on-healthcare-chip-design-ai-and-more/",
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      {
        "id": 77393,
        "title": "just words - Scale Hyper-personalized Messaging with AI",
        "tagline": "Maximize growth velocity with automated message refresh on emails and push.",
        "body": "**tldr:** We’re building an AI-first marketing tech stack for enterprises. We are on a mission to rethink growth by turning content into conversations. Our core product allows companies to auto-refresh content on growth channels like emails using reinforcement learning, artificial intelligence, and causal inferences. Companies have 10X their speed of experimentation, and have seen stat sig engagement lift with our technology. \n\n```\n❌ the problem\n```\n\n1\\. Traditional A/B testing is slow. It can take 3-6 months to run one test because of organizational decision-making and lack of ML infrastructure. \n\n2\\. Content and copy selection is based on vibes. \n\n3\\. Prioritization of the biggest opportunities is decided by the loudest voice in the room. \n\n```\n✨ our solution\n```\n\n1\\. Enrich CRM with ML powered personalization \n\n2\\. Auto-refresh content on the fly. Auto-tune underperforming content with newly generated dynamic content in real time\n\n3\\. Use insights from infinite testing to predict the next best action.\n\n![uploaded image](/media/?type=post&id=77393&key=user_uploads/1381391/30b40cc4-6a73-4e12-9a09-5cbba4930fb3)\n\n```\n🙏 asks\n```\n\n1\\. Check out [justwords.ai](http://justwords.ai) and book a demo for your use case (email, sms, push, landing page titles).\n\n2\\. Connect us to your growth & marketing teams. Book a [30 min slot](https://calendly.com/just-words) with us or drop us an email at [founders@justwords.ai.](mailto:founders@justwords.ai)",
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        "votes": 70,
        "created_at": "2024-01-10T20:48:09.601Z"
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    "id": 29408,
    "name": "Circleback",
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    "website": "https://circleback.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Circleback helps teams get the most out of every conversation with best-in-class AI-powered meeting notes, action items, automations, and search.\r\n\r\nFor example, Circleback can automatically identify feature requests that come up in product demo calls and create Linear tasks for each of them, or update your CRM with customer details after a sales call.\r\n\r\nBefore Circleback, Ali led the first integration of LLMs into the Stripe support product and Kevin worked on predictive analytics at Tableau as a senior software engineer.",
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        "full_name": "Ali Haghani",
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        "user_id": 271444,
        "full_name": "Kevin Jacyna",
        "title": "Founder/CPO",
        "founder_bio": "Kevin is a co-founder of Circleback. Before Circleback, Kevin was a senior software engineer at Tableau, where he worked on bringing predictive analytics into Tableau, as well as improving compatibility between the desktop and web products. He formerly played Junior A hockey in Canada.",
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        "id": 91861,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/G8t2DGB-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "id": 91924,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/dUH7zjN-software-engineer",
        "location": "San Francisco, CA, US",
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        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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          "Next.js"
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      {
        "id": 92631,
        "title": "Founding Marketer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/io0eCUK-founding-marketer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 92780,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/cELqQKO-design-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$170K - $280K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "React Native",
          "Swift",
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        "id": 96234,
        "title": "Software Engineering Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/lulIPMP-software-engineering-intern-summer-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
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        "id": 96710,
        "title": "Executive Assistant",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/XIR4abq-executive-assistant",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 101689,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/Uno1NfS-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$145K - $240K",
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        "experience": "1+ years",
        "visa": "Will sponsor",
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      {
        "id": 101690,
        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/ou5MXKF-senior-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "news": [
      {
        "title": "YC-backed Circleback is out to become the best meeting notetaker | TechCrunch",
        "url": "https://techcrunch.com/2024/11/26/yc-backed-circleback-is-out-to-become-the-best-meeting-notetaker/",
        "date": "Nov 26, 2024"
      },
      {
        "title": "The best AI note-taking tools for meetings | Time",
        "url": "https://time.com/charter/6987522/the-best-ai-note-taking-tools-for-meetings/",
        "date": "Jun 12, 2024"
      },
      {
        "title": "Technology accelerator invests $500K in CS alums’ start-up | Computer Science at UBC",
        "url": "https://www.cs.ubc.ca/news/2024/03/technology-accelerator-invests-500k-cs-alums-start",
        "date": "Mar 13, 2024"
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    "launches": [
      {
        "id": 77984,
        "title": "Circleback: AI-powered meeting notes and workflows",
        "tagline": "We help teams get the most out of every meeting by automatically writing meticulous notes and taking action on insights that matter to them",
        "body": "**TL;DR:** [Circleback](https://circleback.ai/) helps teams get the most out of every meeting–whether on Zoom, Google Meet, or in-person–by **automatically writing meticulous notes** and **taking action on insights** that matter to them. [Give it a try](https://circleback.ai) in your next meeting or [schedule a demo](https://cal.com/alihaghani/circleback-demo) to see how it works.\n\n—\n\nHey all! We’re [Ali](https://linkedin.com/in/alihaghani) and [Kevin](https://linkedin.com/in/kevinjacyna) and we’re building Circleback to help teams get the most out of every meeting.\n\n## 🧨 Problem\n\n* Meetings are an **untapped goldmine of useful information**\n* 90% of what is shared in meetings is **forgotten within a week**\n* **Finding what was discussed in meetings across teams is difficult** because meeting docs are difficult to find, incomplete, or non-existent\n\n## 💡 Solution\n\nCircleback helps you and your team get the most out of every meeting.\n\n* We automatically write **meticulous notes** and **assign action items** for your meetings\n* Create workflows to **identify exactly what’s most important** to you\n* Automatically **action on important insights**, i.e. create new Linear tasks for feature requests that come up in customer demos or share meeting notes and action items on Slack\n* Quickly **find anything that was talked about** in your team’s meetings using the AI-powered search\n\n![uploaded image](/media/?type=post&id=77984&key=user_uploads/126963/02ee5577-44c0-4878-80bc-46f497215e4e)\n\n## ✨ How it works\n\nOnce you’ve connected your calendar, you can choose which meetings you’d like Circleback to take notes for. For in-person conversations, you can record directly from your phone/laptop or import an audio/video file.\n\nAfter each meeting, you’ll see the AI-written notes, grouped by topic, alongside assigned action items, the transcript, and a recording of the meeting (if enabled). You can share meeting notes with the rest of your team directly on Circleback and externally via email or a shareable link.\n\n![uploaded image](/media/?type=post&id=77984&key=user_uploads/126963/f5003c7c-789c-4c40-a6b7-406e9054cd29)\n\nEasily see what outstanding action items are assigned to you, your team, and people you’ve met with from the Action Items tab.\n\nSet up powerful automations from the Workflows tab–choose which meetings you’d like your workflow to run for (i.e. only calls with Jessica or only calls tagged as Weekly Planning), then create an insight you’d like to identify and choose what you’d like to do with it.\n\n#### More about Circleback\n\n* Works with Zoom, Google Meet, Microsoft Teams, BlueJeans, and in-person meetings\n* Supports over 100 languages with industry-leading transcription accuracy\n* Integrates with Google Calendar and Microsoft Calendar\n* AI-powered search can answer questions using the context of past meetings, turning your team’s conversations into a real-time knowledge base\n* Integrates directly with Notion, Slack, HubSpot, Salesforce, and more with webhook support for custom integrations\n* Lets you share meeting notes and recordings with attendees and the rest of your team\n\n## 🧡 Asks\n\n* [Try out Circleback](https://circleback.ai) for free!\n* [Schedule a demo](https://cal.com/alihaghani/circleback-demo) if you’re curious about using Circleback at your company\n* Email us at [founders@circleback.ai](mailto:founders@circleback.ai) with any thoughts or feedback–we’d love to learn about specific workflows you have around meetings\n\n![uploaded image](/media/?type=post&id=77984&key=user_uploads/126963/487989f9-512c-402c-9d70-04c9fb504760)\n\n",
        "url": "https://www.ycombinator.com/launches/KHo-circleback-ai-powered-meeting-notes-and-workflows",
        "votes": 51,
        "created_at": "2024-01-30T18:31:34.403Z"
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    "id": 29409,
    "name": "BetterBasket",
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    "website": "http://www.betterbasket.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "BetterBasket provides grocery retailers with AI agents for pricing, competitive intelligence and promotion optimization, with the aim of helping teams boost revenue, manage margin targets and automate decisions using real-time data across operations. ",
    "one_liner": "Smart grocery pricing with AI",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1706153675,
    "tags": [
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    "regions": [
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/betterbasket",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/betterbasket.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98110558",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1227729,
        "full_name": "Leon Zhang",
        "title": "Founder/CEO",
        "founder_bio": "BetterBasket CEO; ex-Uber Eats, PIMCO, Wharton MBA dropout and UChicago BS '17",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/leon-zhang-850772b3",
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      {
        "user_id": 1643805,
        "full_name": "Vagelis Viskadouros",
        "title": "Founder/CTO",
        "founder_bio": "BetterBasket Founder, ex-Uber Eats Data Scientist, Ecole Polytechnique MSc in Data Science for Business",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/viskadouros",
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        "id": 68593,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/betterbasket/jobs/wsZC1jR-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.25% - 2.00%",
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        "skills": [
          "JavaScript",
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      {
        "id": 93356,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/betterbasket/jobs/VizvMJh-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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    ],
    "news": [
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        "title": "FMI Midwinter 2026: AI and collaboration take center stage - SmartBrief",
        "url": "https://www.smartbrief.com/original/fmi-midwinter-2026-ai-and-collaboration-take-center-stage",
        "date": "Jan 24, 2026"
      },
      {
        "title": "Delving Into ‘The Next Now’ at NRF 2026: Retail’s Big Show | Progressive Grocer",
        "url": "https://progressivegrocer.com/delving-next-now-nrf-2026-retails-big-show",
        "date": "Jan 17, 2026"
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    "launches": [
      {
        "id": 78622,
        "title": "BetterBasket - Pricing for Grocers",
        "tagline": "The first end to end pricing and assortment solution for grocery stores",
        "body": "TLDR; 95% of American consumers are changing their grocery shopping habits because of volatile prices, and the $800bn grocery industry must adapt. [**_BetterBasket_**](http://betterbasket.ai/) provides an end-to-end solution for merchandising teams at grocery stores to help with pricing and product assortment.\n\n### **🍌 Problem**\n\nGrocers and food & beverage brands need data-driven recommendations more than ever because of…\n\n* Macro impacts from **price volatility**,\n* customer pull for **more localized selection**,\n* and **shrinking pricing zones** as local supply chains get impacted.\n\nEven for established enterprises, analyzing data across hundreds of thousands of SKUs (“apples-to-apples” comparisons), daily price movements, and multiple margin targets, while balancing sell-through, profitability, and customer satisfaction (especially at a time when many are being accused of “greedflation”) is an impossible task.\n\nCurrent solutions are to:\n\n* Make decisions **without data**,\n* Use a labor-intensive method such as **mystery shoppers,** or\n* Get by with tools that neither **raise the level of sophistication** that managers can operate at **nor saves them time.**\n\n### **🍎 Solution**\n\nBetterBasket is an end-to-end solution for merchandising, encompassing (1) competitive data, (2) visualizations, and (3) recommendations.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/a16ebfbb-5ee5-48f3-b7e0-29b88e01d8ef)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/366f91f7-931d-4810-8295-5b4cfdef020d)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/9e0f42fe-3368-429d-bf40-afea42be9af0)\n\n### **🧺 How it Works**\n\nWe scrape websites and flyers for in-store and online pricing and product info. Our matching algorithm then uses a combination of natural language processing and computer vision methods to create a centralized product repository across merchants, geographies, and categories that describes the items and the relationships between them.\n\nThis database allows us to give customers up-to-date and accurate competitive information on the products that they and their competitors are carrying. This includes but is not limited to historical price changes, geographical pricing (zone maps), and Venn diagrams showcasing item overlap.\n\nOur pricing and assortment algorithms generate pricing recommendations (with the ability to automate pricing in online stores and physical stores that use digital price tags) as well as assortment recommendations (products to acquire or remove). Our algorithms use data from competitive intelligence, our customer’s unique strategies and targets, and external variables to achieve the optimal outcome based on current conditions.\n\n### **🍣 Why we started BetterBasket**\n\nVagelis and Leon worked together at Uber Eats, setting up the grocery delivery platform and notably launching our dark store footprint in Taiwan and Japan and scaling it to 20+ stores. As we built up a launch team with no retail DNA, we realized the need for merchandising analytics for pricing and procurement teams, especially with regards to competitive data.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/4c26d656-2098-496f-9f75-ce9293fc8ea3)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/670a85af-7780-458a-9731-6dd53bbbd179)\n\n### **🍴 The Ask**\n\nIf you know of any grocery chains or food and beverage brands that need help with pricing or product assortment decision-making or are willing to talk about their most pressing issues, let us know! We’re at [**founders@betterbasket.ai**](mailto:founders@betterbasket.ai) and would love to learn more about their needs.",
        "url": "https://www.ycombinator.com/launches/KS6-betterbasket-pricing-for-grocers",
        "votes": 49,
        "created_at": "2024-02-21T21:02:52.062Z"
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    "id": 29410,
    "name": "Model ML",
    "slug": "model-ml",
    "former_names": [
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    "website": "https://www.modelml.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Team:\r\nChaz: Founder of Fat Llama YC S17 - Acquired by Hygglo. Responsible for Business and Sales \r\nArns: Founder of Fancy S20 - Acquired by Gopuff, Responsible for tech and product. ",
    "one_liner": "The AI for Financial Services.",
    "team_size": 180,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1700480676,
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    "isHiring": true,
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    "batch": "Winter 2024",
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    "regions": [
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      "Europe"
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    "stage": "Growth",
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    "country": "GB",
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        "full_name": "Arnie Englander",
        "title": "Founder",
        "founder_bio": "2x YC founder. \nFancy (S20) - Acquired by Gopuff.\nModelML (W24).\nLove building cool stuff.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arnie-englander",
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        "full_name": "Chaz Englander",
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        "founder_bio": "2x YC Founder. \nFat Llama (S17) - acquired by Hygglo \nModeML (W24)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chazenglander",
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    "jobs": [
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        "title": "Product Growth",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/lrPAkoP-product-growth",
        "location": "New York, NY, US / Remote (London, England, GB)",
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        "role": "Product",
        "role_type": null,
        "salary_range": "$70K - $130K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
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        "title": "Growth",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/NgPldYS-growth",
        "location": "SG / HK / IN / US / Remote (SG; HK; IN; US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $200K",
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        "title": "Operations",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/LcaMAjR-operations",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Operations",
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        "body": "⏱️ _TL;DR: Instead of paying lots of money to contractors or spending hundreds of hours writing out documents for regulatory submissions, life sciences teams use our platform to synthesize their data and information on a product into high-quality first drafts of protocols and other documents in minutes, iterate sections in seconds, and meet rigorous document quality standards with near-zero effort. _[_Set up a meeting_](https://usemotion.com/meet/joshua-kim/7s7w1jm?d=30)_ or _[_email us_](https://founders@artosai.com)_ to learn more._\n\n![uploaded image](/media/?type=post&id=77922&key=user_uploads/89898/2b4e7482-c5ac-4544-950f-b715057940c7)\n\nWe’re [Varun](https://linkedin.com/in/varun-patel-091715156) and [Josh](https://linkedin.com/in/joshua-kim-57239519b), and we’re the founders of [Artos](https://www.artosai.com/). We met in college at the University of Chicago on pretty different paths: Varun was studying Molecular Engineering and Neuroscience and had taken a job as a Software Engineer at United Healthcare, and Josh was studying Economics and had an early offer from Harvard for graduate school.\n\nWe started working together after Josh joined an AI lab at UChicago Medicine. One day, Josh reached out to Varun for some help on an AI-based medical device product he was working on, and the two of us have been working together since. Artos was born out of our own experiences with the life sciences’ regulatory submissions process.\n\n## **📁 What are regulatory submissions and why do they matter?**\n\nLife sciences’ regulatory submissions - like INDs and PMAs - and similar filings can be thousands of pages long. They contain an exhaustive amount of detail about everything related to a new drug or medical device because these submissions are how health agencies like the FDA decide whether and how a product can be used.\n\nThe information for these submissions is spread across a company: experiment reports, meeting notes, conference presentations, and more. A significant amount of the effort that goes into writing these submissions is spent on compiling, reviewing, citing, and writing up that information in the right format for the final submission, which easily adds weeks or months to timelines.\n\n## **✅ Our solution**\n\nArtos’s document-drafting platform helps life sciences companies put together their submission documents in half the time.\n\nTeams can connect to the sources of data they’d usually use to write up a given document, select a template or a sample document they want to base the new document on and get a first draft in minutes.\n\n![uploaded image](/media/?type=post&id=77922&key=user_uploads/89898/bc503e3c-c3e8-4034-b881-dac101b9c3f1)\n\nTeams can iterate on sections in seconds.\n\n![uploaded image](/media/?type=post&id=77922&key=user_uploads/89898/740ea18e-646d-4f84-89bb-4ba1a51e18db)\n\nThey can use a suite of tools to search documents, find source documentation quickly, and implement changes made in one part of a document across the rest of the document or a larger set of documents.\n\n![uploaded image](/media/?type=post&id=77922&key=user_uploads/89898/a24f7f36-8ad9-4c07-afd9-a826dc371bc5)\n\nAnd, of course, we do all this while keeping a company’s data hypersecure.\n\n## **🙏 Our ask**\n\n1. [Set up a meeting](https://usemotion.com/meet/joshua-kim/7s7w1jm?d=30) or [email us](https://founders@artosai.com) to learn more and get your company onboarded.\n2. Share this post!\n3. Please intro us to folks on clinical teams at biotech/pharma/medical devices! Here’s a short blurb: “[Artos](https://www.artosai.com/) is a company started by AI researchers and engineers with backgrounds in biotech/medical devices. They’re building a document-drafting platform to help life sciences companies put together their submission documents in half the time. Contact [founders@artosai.com](mailto:josh@artosai.com) for more.”",
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        "body": "### TLDR\n\n_Brainbase is to AI workers what Retool is to internal tools._\n\nVery soon every company will need to have an AI workforce working alongside their human team. Brainbase is the only platform that lets your business create its own enterprise-grade AI workers. Everyone from government agencies to SMBs is choosing us to create workers that do everything from outbound sales calls to customer support.\n\nIf your company already has workflows that you want to automate or just want to explore our 100+ templates, [**schedule a demo**](https://calendly.com/usebrainbase/demo) or [**get on our waitlist**](https://docs.google.com/forms/d/e/1FAIpQLSdOpDWM6faDDH8vkDhBYVFij6kGqeK5NQZmRkOiXU8q-s149w/viewform)!\n\n![uploaded image](/media/?type=post&id=80202&key=user_uploads/89898/eab30f63-2964-4b23-a44a-9b4d731b2629)\n\n### Intro\n\nHey, [Gokhan](https://www.linkedin.com/in/gokhan-egri/) here! I dropped out of my Machine Learning PhD at Harvard to build Brainbase. **So far, it’s been the best choice ever!** Previously I started another AI company and built over 15 apps that got more than 50K downloads.\n\n### Problem\n\nMost business workflows are very repetitive with easily automatable tasks, yet they cost the average business **70% of their workforce** every year. That’s **every 2 out of 3 hires** doing repetitive work day in and day out 🤯\n\nWhen businesses try to automate these workflows using one of the hundreds of AI automation tools out there, they quickly see that these tools are either **unreliable, difficult to set up** or **simply not powerful enough for business tasks.**\n\n### Solution\n\nAt [Brainbase](https://www.loom.com/share/d6b05fe8d5a4455f983e92c919998cdd?sid=7b2f0f3f-e38c-4cff-9970-b932b9d787af) we let you build industry-grade AI workers that are _designed_ to handle complex enterprise workflows unique to your business.\n\nUnlike our competitors, Brainbase’s workers are:\n\n* **Unique to your business:** No two employees at two different companies are the exact same. We let you build unique workers for your business’s unique requirements\n* **24/7:** Our workers work non-stop so they can delight your customers continuously\n* **10x cheaper:** Our AI workers are 1/10th the cost of hiring another employee, with the same performance\n* **Easy to set up:** Start in less than a day with one of our 100+ templates for the most common Sales, HR, and customer support workers\n* **Easier to customize:** We built the best tools — code and no code — to build your workers to your business’s exact needs\n\nSo far, our customers have built:\n\n* **Government call centers** responding to 100s of calls a day\n* **Resume reviewers** that review 1000s of documents in minutes\n* **Automated support reps** that respond to customer requests in seconds\n* and more…\n\nStart with one of our [100+ templates](https://docs.google.com/forms/d/e/1FAIpQLSdOpDWM6faDDH8vkDhBYVFij6kGqeK5NQZmRkOiXU8q-s149w/viewform) for end-to-end Sales, HR, or Customer Support workers, invite your team, customize to perfection, and start seeing results in less than a week.\n\n### ASK\n\n1. **Is your business currently hiring for a non-technical position? Let’s see if you can get away with an AI worker instead!** [Schedule a demo](https://calendly.com/usebrainbase/demo) to see what’s possible with Brainbase.\n2. **Do you have ideas for business workflows you want automated?** Reach out to [gokhan@usebrainbase.xyz](mailto:gokhan@usebrainbase.xyz), I’d love to have a chat!\n3. **Like, share, and tell your friends!:** It would mean a lot!\n\n❤️ _Thank you for taking the time to read through this. We’d love to hear your thoughts about what we’re building._\n\nBonus: [Check out](https://www.loom.com/share/b1fed8a9666647faa6128989a1e263a0?sid=093045e2-f598-449b-938a-4ce7bf130a1a) how we spun up a worker to handle OpenAI’s entire Slack support system from scratch in **less than 5 minutes**.",
        "url": "https://www.ycombinator.com/launches/Kra-brainbase-build-your-own-ai-workforce",
        "votes": 31,
        "created_at": "2024-04-15T23:52:39.137Z"
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    "id": 29419,
    "name": "Lumetric",
    "slug": "lumetric",
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      "Tredit IQ",
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    "website": "https://www.lumetric.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "An AI coworker for business professionals that actually does the work. Models, decks, data cleanup, and more.",
    "one_liner": "The AI Analyst For Deal Teams",
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    "subindustry": "B2B",
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      {
        "id": 78911,
        "title": "🎙️ PocketPod - AI-generated podcasts tailored to your interests",
        "tagline": "We allow people to consume any information in a familiar podcast format",
        "body": "# **TL;DR**\n\n[**PocketPod**](https://news.pocketpod.app/) creates AI-generated podcasts tailored to your interests. Whether it's a daily news update or a deep dive into a specific topic, we allow people to consume information in a familiar podcast format. To start, we are creating fully personalized news podcasts delivered right to your Spotify every day.\n\n[Example](https://www.youtube.com/watch?v=lyGZMiLgk9Q)\n\nSign up [**here**](https://news.pocketpod.app/) to get your very own daily news podcast tailored to your interests!\n\n# **😣 What’s the problem?**\n\n**There is a ton of information** widely available, in diverse formats, that was previously not feasible to have delivered via podcast-style audio\n\n**Human creators face inherent limitations** in the volume of information they can turn into high-quality content\n\n# **🎙️ The Solution - PocketPod**\n\n\\- Advances in LLMs and data processing allow us to comb through incredible amounts of information, aggregate, and process what’s important to you, and transform it into engaging new podcast formats.\n\n\\- Combined with advancements in text-to-speech models and it’s now possible to give everyone podcasts made just for them, on the information they care about.\n\n\\- Seamless integration with existing platforms, like Spotify, ensures quick, easily accessible, and personalized distribution\n\n# **Meet the Team**\n\n[**Davis Palmie**](https://linkedin.com/in/davispalmie) and [**Ross Cefalu**](https://linkedin.com/in/rcefalu) met freshman year at Georgia Tech. Ross was one of the first ten engineering hires at Flock Safety (YC17), and then worked at Microsoft, rebuilding the app launching experience used by 150M DAUs. Davis worked on Visa’s Next Generation Services team and also built the pioneering innovation lab tech team for a billion-dollar consulting firm.\n\n![uploaded image](/media/?type=post&id=78911&key=user_uploads/1318752/ceb17713-c244-4654-9b49-cd129b951b51)\n\n# **Our Ask: Try us out!**\n\nSign up [**here**](https://news.pocketpod.app/) to get your very own daily news podcast tailored to your interests!",
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        "created_at": "2024-02-29T19:14:38.244Z"
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    "long_description": "Alai makes it easy and quick to create high quality presentations with AI. Our users bring in their context and get a great first draft with 4 options for each slide in minutes. Alai has a responsive canvas made up of high-level build blocks which makes it easy for both humans and AI to iterate together to get to a polished presentation.",
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        "full_name": "Anmol Sood",
        "title": "Founder",
        "founder_bio": "Founder at Alai. Previously Staff Software Engineer at Meta.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anmolsood",
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        "full_name": "Krishna Gupta",
        "title": "Founder",
        "founder_bio": "Founder @Alai. Previously early engineer at Replicant AI",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/krishnagupta21",
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      {
        "id": 94647,
        "title": "Alai: Create high quality presentations quickly with AI",
        "tagline": "High quality decks, made fast and simple. ",
        "body": "**The Problem:**\n\nCreating presentations sucks! You either spend hours pixel-tweaking in traditional tools or settle for low-quality AI-generated slides.\n\n**What Alai feels like**\n\nPaste rough notes and, in seconds, Alai gives you the best first draft you’ve seen. No more template hunting, blank page problem or making slides that are too text heavy.\n\n**Demo:** [**https://youtu.be/X86y9Mk3MJ4**](https://youtu.be/X86y9Mk3MJ4)\n\n**Our motivation**\n\nDesign should not come in the way of storytelling. We built Alai so that everyone can be proud of what they present.\n\n**Our ask**\\\nIf you’re making decks for fundraising, sales, marketing, product, or engineering, we’d love for you to try Alai. [Try now](https://getalai.com)",
        "url": "https://www.ycombinator.com/launches/OcZ-alai-create-high-quality-presentations-quickly-with-ai",
        "votes": 21,
        "created_at": "2025-10-15T06:51:23.744Z"
      },
      {
        "id": 79304,
        "title": "Alai: Create high quality slides with AI",
        "tagline": "Alai is an AI first presentation software that helps you build well designed slides quickly",
        "body": "Hey everyone! We are [Krishna](https://www.linkedin.com/in/krishnagupta21/) and [Anmol](https://www.linkedin.com/in/anmolsood/) from [Alai](https://getalai.com/)! \n\n### ⭐ TLDR\n\nAlai helps **tech professionals** create **high-quality** **presentations** **quickly** using AI. Today, we are launching the **first part** of our experience: a tool to create and iterate on **funnel** slides with the ability to **export** them to Google Slides in one click. \n\n### 🚨 The Problem\n\nOver **30 million** presentations are created **daily**. Countless important decisions are made at companies every day based on a presentation. However, it takes **too long** and most people **lack** the **skill** to make a presentation that effectively gets the point across.\n\nWe believe that this is because of 3 main reasons:\n\n1. **“Blank page” problem**:  It’s hard to get started staring at an empty deck. In our experience at tech companies, most information required to create the presentation already existed in other docs/tools and it still took a lot of time to get started.\n2. **Busywork:** A lot of time is spent finding the right slide template, fitting content into it, and struggling with other design details. This is especially painful when trying to change the structure like splitting a slide into multiple slides etc. \n3. **Too much text, not enough visuals:** Creating good visuals is hard and therefore a lot of presentations are text-heavy. People find it challenging to think of the right visual as well as being able to put it together.\n\n \n\n### 🎯 The Solution\n\nAlai is an AI-first presentation experience:\n\n1. Get **multiple** slide **options**: Just put in text and Alai will show you multiple high-quality options to choose from. \n2. Built-in **iteration loop** with **AI**: Iterate on the complicated design elements of your slide using natural language. AlaI also considers your manual edits when suggesting new options.\n\n **Yet another AI presentation tool?**\n\nWe think most of these tools are missing the point. Generating an entire presentation in one go leaves you with low-quality slides that still require a lot of polishing. We believe we can do better! \n\n **Our Launch Today**  \n\n We are launching our first tool today which helps you create funnels from text as well as edit them. You can also export them to Google Slides in one click.\n\n![uploaded image](/media/?type=post&id=79304&key=user_uploads/802359/cbd845b6-2f6b-44c1-aec2-515cd64c14a9)\n\n### 💪 Meet Krishna and Anmol\n\n[Krishna](https://linkedin.com/in/krishnagupta21) and [Anmol](https://linkedin.com/in/anmolsood) met in middle school and have been best friends for the last 17 years. Anmol was previously a staff software engineer at Meta where he worked on building presentation software in VR amongst other things. Krishna was an early engineer at Replicant where he worked on building the core experience as the company crossed over $10 million in revenue. \n\n![](https://lh7-us.googleusercontent.com/UoER-kmSfH-egXrtMnQVrwgdmO7M0VC5btKF23Mjfvdgogzkspv1Dh0KICZ-XxtdP7RcSyp56vQofpdp1139-o_puUAiZfisKUWYH4mSUirDPMU5MorprtzKD05RBOGyhnyEkwvBQ_qF9txmYFI267w)\n\n### 🙏 Our asks\n\n1. Looking to create a funnel slide for one of your presentations? [Try us](https://getalai.com/) today and share feedback with us at [founders@getalai.com](mailto:founders@getalai.com) \n2. Did you recently create a presentation that took you a frustratingly long time to create? Reach out and share your experience with us!",
        "url": "https://www.ycombinator.com/launches/Kd6-alai-create-high-quality-slides-with-ai",
        "votes": 27,
        "created_at": "2024-03-12T15:32:33.751Z"
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    "name": "Thorntale",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Thorntale is the easiest (and prettiest) way to create your next presentation. We've built a super capable AI assistant that can directly edit your slides, and coupled it with an advanced slide design system to keep things beautiful and professional.\r\nThorntale AI is designed to work alongside you as an AI collaborator. It can modify slide design and content, as well as give suggestions on what to improve to make your points clearer for your audience. We've also built tons of enterprise level features into Thorntale, like integrated data connections and send as email.",
    "one_liner": "The world's best presentation editor, powered by AI.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1709017712,
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        "title": "📈 thorntale - Presentation software built for data storytelling",
        "tagline": "Empowering our users to be better data storytellers and make more informed decisions.",
        "body": "**_TL;DR:_** We’re building software that makes it fast and easy to create persuasive decks with your data. Thorntale connects live to any data source, so you always have pretty, interactive, and up-to-date charts. Our opinionated templates are made explicitly for product, data, and engineering teams, so you don’t have to start from scratch. [**_Try the beta here!_**](https://www.thorntale.com/?utm_source=yc_launch_page&utm_medium=yc_launch_post&utm_campaign=launch_day&utm_id=01&utm_content=top_link)\\\n\\\nHey y’all, we’re Dori, Ellen, and John, the team behind [thorntale.](https://www.thorntale.com/?utm_source=yc_launch_page&utm_medium=yc_launch_post&utm_campaign=launch_day&utm_id=01&utm_content=top_link) We’re building the software we wish we had in our pre-founder days.\n\n# \n\n# **❌ The Problem: Communicating data is hard. Current tools make it harder.**\n\nCompanies invest heavily in data teams and advanced tooling but still struggle to incorporate their work into decision-making. We believe this is due to where these findings get communicated: the presentation. Existing presentation tools do not integrate with the rest of the data stack, so instead people screenshot charts and copy-paste tables into their decks. This creates situations where data is miscommunicated, missing, or inaccurate. \n\n# 🌟 **Our Solution: Presentation software that integrates with your data stack.**\n\nBy connecting live data to your presentations and starting from professionally curated templates, presentations in thorntale aren’t just pretty, they’re functional. We create charts in-app that match your presentation’s theme, so you can focus on telling a persuasive story instead of formatting. Using thorntale, you’ll save time and make better business decisions. \n\n![uploaded image](/media/?type=post&id=78798&key=user_uploads/1490574/f3af5be2-75bf-46ff-9ba4-056c065197cb)\n\n# 🧩 **Who We Are**\n\n![uploaded image](/media/?type=post&id=78798&key=user_uploads/1490574/528f12a3-8f5e-40b0-acfc-1ce5f838135a)\n\nfrom left to right:\n\n[**Ellen**](https://linkedin.com/in/ellenfkh)**:** Backend & Infrastructure. Previously big data at Microsoft, SRE at Cruise, distributed systems, and real-time video at Mux.\n\n[**John**](https://linkedin.com/in/john-h-stimac)**:** Frontend, backend, & data engineer. Worked on big data at Yelp, and most recently did data engineering at Clockwise.\n\n[**Dori**](https://linkedin.com/in/doris-lee-wilson)**:**  Data Scientist turned CEO. Crafted data stories at Uber, CircleCi, Mux, Pave, and the Federal Reserve Bank of San Francisco.\n\n# **🙏 Our Ask: Try us!**\n\n* Try us out! We’re improving the product every day, and want to know what you think! [Get Started.](https://bit.ly/3uClStS)\n* If you’re a business, we’re more than happy to build custom templates and make documents using your branding. [Book time with us.](https://calendly.com/d/3xd-4y9-km2/chat-with-thorntale)\n* Connect us with the people in your life who regularly make presentations using data by sharing this post or emailing [founders@thorntale.com.](mailto:founders@thorntale.com)\n\nSend any questions, inquiries, or pretty charts our way at [founders@thorntale.com.](mailto:founders@thorntale.com)",
        "url": "https://www.ycombinator.com/launches/KUw-thorntale-presentation-software-built-for-data-storytelling",
        "votes": 56,
        "created_at": "2024-02-27T07:26:35.110Z"
      }
    ]
  },
  {
    "id": 29423,
    "name": "Triply",
    "slug": "triply",
    "former_names": [
      "TRIPITACA"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a50be8732ac92931d91e10a75379eb7b6b844ab1.png",
    "website": "https://business.triply.co/",
    "all_locations": "Nairobi, Nairobi County, Kenya",
    "long_description": "Triply (Formerly Tripitaca) is the operating system for travel businesses in Africa. We eliminate operational chaos by unifying payments, Invoicing, payroll, accounting, operations, and more into a single platform allowing travel businesses to execute and sell more efficiently. \r\n",
    "one_liner": "Operating system for travel businesses in Africa with embedded finance",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1711741250,
    "tags": [
      "Fintech",
      "Marketplace",
      "SaaS",
      "Travel"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Operations"
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    "regions": [
      "Kenya",
      "Africa"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/triply",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/triply.json",
    "year_founded": 2021,
    "city": "Nairobi",
    "country": "KE",
    "linkedin_url": "https://www.linkedin.com/company/tripitaca/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 600569,
        "full_name": "Peter Wachira",
        "title": "Founder/CEO",
        "founder_bio": "Peter is an entrepreneur with a passion for empowering communities and reshaping the travel industry. Started my first company at 18, focusing on providing essential goods and services to low-income households through a BNPL model, exited. I pivoted to the travel sector, founding a leading vacation rental management company. Recognizing the challenges faced by travel businesses, I am now building Tripitaca, the operating system for travel businesses in Africa.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/peter-wachira-tripitaca",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3833e926062378faaeadee9d84309129878fd5c.jpg"
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      {
        "user_id": 866843,
        "full_name": "Collins Muthinja",
        "title": "Founder/CTO",
        "founder_bio": "With over a decade of coding expertise, I'm a seasoned software engineer who cut my teeth at a leading insuretech firm, where I played a key role in building payment rails. Co-founder of a successful BNPL startup later acquired, I now drive innovation as I build the operating system for travel businesses in Africa, seamlessly embedding finance solutions. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/collins-muthinja-trippi",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb6d823bfa2fa0808355f3ba0fd5434c9526b093.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 79844,
        "title": "Triply✈️ The operating system for travel businesses in Africa",
        "tagline": "Helping businesses increase their earnings, collect payments, run their operations online, save, and borrow.",
        "body": "**tl;dr:** 90% of travel businesses in Africa are SMBs. However, they are unable to collect payments, continue to operate manually, lack access to financial services, and booking systems are 60% less efficient due to weak payment infrastructures.\\\n\\\n[Triply](https://business.triply.co/) assists these businesses in collecting payments, automating their operations, and then uses this data to provide them with financial services. We also assist them in increasing their revenue by selling their services on our marketplace, which is designed to match the needs of the local travel market.\n\n—\n\nHi people, we’re [Peter](https://www.linkedin.com/in/peter-wachira-trippi/) and [Collins!](https://www.linkedin.com/in/collins-muthinja-trippi/)\n\n![uploaded image](/media/?type=post&id=79844&key=user_uploads/600569/c376d924-cae2-4556-9972-ed512170dd78)\n\nPeter - 2x founder, ran one of the leading vacation rental management companies in East Africa.\n\nCollins - Led teams and built products in leading Fintech and insuretech startups in Africa.\n\n### the opportunity\n\nAfrica is a $300 billion dollar travel market and one of the fastest-growing travel markets globally.\n\nToday 66% of travel spend on the continent comes from domestic travelers.\n\n**Our Position;** Triply not only helps businesses automate their operations & collect payments, we also help them get bookings through our marketplace, allowing us to uniquely tap into the $198 billion dollar domestic market. Our ability to generate revenue for the businesses we serve has also seen our product become more sticky.\n\n![uploaded image](/media/?type=post&id=79844&key=user_uploads/600569/d42e0dfa-984b-4c3b-b7d7-d45e2d39d123)\n\nB2B Tools; [**Triply Business**](https://business.triply.co/)\n\n* Accounting\n* Payroll\n* Unified inbox (all your messages under one platform)\n* Payments processing\n* Wallet (Muti currency coming soon)\n* Analytics\n* Channel management system\n\n![uploaded image](/media/?type=post&id=79844&key=user_uploads/600569/673e77f7-43d0-4750-b2b5-be6a21ac2ae9)\n\n[**Triply Travel ;**](https://triply.co/)\n\n**OUR ASK ;**\n\n* If you know anyone within your network who has built travel tech businesses before, please introduce us through [founders@triply.co](mailto:founders@triply.co).",
        "url": "https://www.ycombinator.com/launches/Klo-triply-the-operating-system-for-travel-businesses-in-africa",
        "votes": 18,
        "created_at": "2024-04-01T15:41:40.850Z"
      }
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  },
  {
    "id": 29424,
    "name": "Openmart",
    "slug": "openmart",
    "former_names": [],
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    "website": "https://www.openmart.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Local business data intelligence platform",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1704760449,
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      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/openmart",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/openmart.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/openmartai",
    "x_url": "https://twitter.com/openmartai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/openmart-da89",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a841b2f12203d0678ecd110ec8aa1eb131f2681f.png",
    "app_video_url": null,
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    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6c239c5919a3134f918b651811da8ecdd7396f6d.png"
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1629625,
        "full_name": "Richard He",
        "title": "Founder/CEO",
        "founder_bio": "Richard was a senior software engineer at Cruise and founding engineer at Graft, an LLM infra startup backed by GV and NEA. He contributed to Langchain and wrote the AI agent \"Chrome-GPT\" that reached Github's trending projects.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yuchenghe",
        "x_url": "https://twitter.com/realrichomie",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25efe125fb33be309cea61b73b1bef1d8dd50918.jpg"
      },
      {
        "user_id": 1629158,
        "full_name": "Kathryn Wu",
        "title": "Founder",
        "founder_bio": "previous growth @ pinterest ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kathrynwoohoo",
        "x_url": "https://twitter.com/Kathrynwu088",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b5c647d2d2fccc8e37075d82d2ad4296c0aca03.jpg"
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    ],
    "jobs": [
      {
        "id": 82429,
        "title": "Enterprise sales (SDR)",
        "url": "https://www.ycombinator.com/companies/openmart/jobs/MzUT9t6-enterprise-sales-sdr",
        "location": "Foster City, CA, US",
        "type": "Contract",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $150K",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Openmart wants to make it easier for enterprises to sell to local businesses | TechCrunch",
        "url": "https://techcrunch.com/2024/08/21/openmart-wants-to-make-it-easier-for-enterprises-to-sell-to-local-businesses/",
        "date": "Aug 21, 2024"
      },
      {
        "title": "Y Combinator Startups That Could Be The Next Tech Unicorns",
        "url": "https://www.forbes.com/sites/jackkelly/2024/06/04/y-combinator-startups-that-could-be-the-next-tech-unicorns/?sh=79aa49c25764",
        "date": "Jun 04, 2024"
      }
    ],
    "launches": [
      {
        "id": 92810,
        "title": "Openmart - Get local business contacts in Clay",
        "tagline": "Perform small account research at scale",
        "body": "We’re Kathryn and Richard – co-founders of Openmart.\n\n**TL;DR**\n\n**Openmart is teaming up with Clay to power sales teams with intelligence on 20M+ SMBs**\n\nWe’ve ingested millions of live signals, including public filings, websites, reviews, and even calls, then stitched them into a constantly living database on more than 20 million local businesses around the world.\\\nCheck out our[ launch video.](https://www.youtube.com/watch?v=kEPArWi9qu0)\n\n**Ask:** Could you introduce us to leaders facing SMB research or lead generation challenges, or those who outsource to BPOs for such tasks? We can assist with identifying and performing initial lead qualification.\\\n**Contact us:** [kathryn@openmart.com](mailto:kathryn@openmart.com)\n\n**The Problem**\n\nTraditional data providers lack depth and granularity in their SMB data. Often outdated, missing coverage, or simply being incorrect. \n\nThis has led to internal teams having to spend tons of slow and manual effort collecting and vetting the data they need – piecing together multiple solutions, using engineering resources, and spending on expensive outsourcing.\n\nUntil now, there was no unified solution for teams.\n\n[👷](https://emojipedia.org/construction-worker) **Our (Free!) Solution**\n\nAt Openmart, we’ve significantly simplified access to this data.\\\nWith Openmart, you can:\n\n1. Search millions of local businesses instantly\n2. Upload custom lists to perform deep research\n3. Enrich businesses for verified owner contacts\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcor3-VU_s3q7QYLKG_J9kXMg8_IRv8ojL94T6An3gZ6DY_CikA_ZknFtSnNxw25GwRScWS1f6AhDbgNCIOkmukS9osJ7-oH-xXaPNJzkNneuxiQu3cwC3TT407ZZM7VTEKquBpHA?key=8T3GJJ3ibA5ooyB2PhXFDQ)\n\n\\\nYou can also plug Openmart data into your Clay systems in a variety of ways: ([_Clay_](https://www.clay.com/) helps teams turn any growth idea into reality via the best data, flexible workflows, and AI agents.)\n\nhttps://youtu.be/wkIne9_iwA4?feature=shared\n\n1. API access that you can easily plug and play into existing sales tools\n2. A free access version of Openmart is available at [app.openmart.com/register](http://app.openmart.com/register)\n3. Direct integration with Clay that fits directly into existing workflows.\n\n **Our Ask**\n\nCould you introduce us to leaders facing SMB research or lead generation challenges, or those who outsource to BPOs for such tasks? We can assist with identifying and performing initial lead qualification.\n\nContact us at [kathryn@openmart.com](mailto:kathryn@openmart.com)\n\nYour help can make a huge difference. **Thank you!**\n\n[👬](https://emojipedia.org/men-holding-hands) **The Team**\n\nWe (Kathryn and Richard) have known each other for over five years and met at Pinterest.\n\n![uploaded image](/media/?type=post&id=92810&key=user_uploads/1629158/cc867a70-853e-4693-b227-69cc96f21289)\n\n",
        "url": "https://www.ycombinator.com/launches/O8w-openmart-get-local-business-contacts-in-clay",
        "votes": 14,
        "created_at": "2025-08-07T15:02:31.886Z"
      },
      {
        "id": 78559,
        "title": "💰 Openmart - Get highly targeted local business leads using AI",
        "tagline": "Meet Openmart - AI alternative to ZoomInfo",
        "body": "**tl;dr:** \\\nHey everyone! We are [Richard](https://www.linkedin.com/in/yuchenghe/) and [Kathryn](https://www.linkedin.com/in/kathrynwoohoo/), and we're here to present [Openmart](http://www.openmart.ai), **a platform that helps startups who sell to local businesses discover leads easily based on their specific needs.**\\\n\\\nOver the past several years, we have worked as brand operators, the first product manager, and the first engineer at high-growth SaaS startups. We crossed paths at Pinterest and have been good friends ever since.\n\n![uploaded image](/media/?type=post&id=78559&key=user_uploads/1629158/eb4bdb54-7f60-4a76-a2d3-a543e2f9c886)\n\n**Problem**\\\nBased on our conversations with sales teams from various startups, we identified the following challenges:\n\n1. Finding SMB leads is difficult because there's no easy way to locate them. People often have to search randomly through platforms like Google Maps, Yelp, and Yellow Pages. **Companies like ZoomInfo charge upwards of $50,000 a year for an account.**\n2. Filtering out these SMB leads isn't easy. We observe different leads filtering requirements from our clients, and each of them, after receiving a list from ZoomInfo or others, still needs to spend days on manual research to determine if the business is a fit.\n\n**Our Solution**\\\nPicture Austin, a sales director at an aesthetic device startup, using Openmart. Openmart helps him conduct sales research and find places that sell older versions of these aesthetic devices. This makes it easier for their sales team to convince them to upgrade. In short, what can we help you with?\\\n\\\n1\\. Search our database of 1M+ SMBs and retailers to find where your competitors are selling. Review 1000+ store locators.\n\n![](https://slabstatic.com/prod/uploads/ufjq8g2k/posts/images/Q3Isz9DM3IAS26qVyaI7Pre1.gif)\n\n2\\. Get a list of high-quality retailers and SMB leads in seconds instead of days of manual research. Here’s an example of Openmart’s AI agent telling whether these bars have a jukebox or not. 😄\n\n![uploaded image](/media/?type=post&id=78559&key=user_uploads/1629158/de1d500a-676b-403f-836c-6c7d9033ff0b)\n\n## **Our ask**\n\n1. Share this post! Please help spread the word, as you never know who it may help. We appreciate the support and will always be grateful. ❤️\n2. Book a demo with us at [www.openmart.ai](http://www.openmart.ai)[.](http://www.openmart.ai/)\n3. Connect us with startup sales teams that are selling to small and medium-sized businesses, such as DTC/e-commerce stores, retail, and medical clinics.\n4. Quick blurb to copy & paste: _A team in Y Combinator's current batch can help you find SMB leads in sectors like e-commerce, retail, and medical establishments, and get you highly targeted leads in seconds. Check them out and contact [founders@openmart.ai](mailto:founders@openmart.ai) for more information._\n\nWe are [Richard](https://www.linkedin.com/in/yuchenghe/) and [Kathryn](https://www.linkedin.com/in/kathrynwoohoo/) and we're on a mission to make selling to SMBs easy using AI.",
        "url": "https://www.ycombinator.com/launches/KR5-openmart-get-highly-targeted-local-business-leads-using-ai",
        "votes": 209,
        "created_at": "2024-02-20T17:30:06.941Z"
      }
    ]
  },
  {
    "id": 29425,
    "name": "Zep AI",
    "slug": "zep-ai",
    "former_names": [
      "Zep Software",
      "Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/834036f2803ad1fb4cf8305e1be757592a8588a1.png",
    "website": "https://www.getzep.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Zep unifies business data, documents, and conversations into shared, governed context so agents can complete tasks correctly. Its Context Lake manages millions of Context Graphs as one system, with access controls, retention policies, source traceability, and audit logs. Teams use Zep to build enterprise context graphs, agent memory, and customer and account context. Zep retrieves context in under 200 milliseconds. Graphiti, Zep’s open source framework for temporal knowledge graphs, has more than 30,000 GitHub stars.",
    "one_liner": "The unified context layer for enterprise data",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709681560,
    "tags": [
      "Developer Tools",
      "Infrastructure",
      "AI",
      "Conversational AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/zep-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/zep-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/zep-ai/",
    "x_url": "https://twitter.com/zep_ai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/zep-ai",
    "github_url": "https://github.com/getzep",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/834036f2803ad1fb4cf8305e1be757592a8588a1.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 808515,
        "full_name": "Daniel Chalef",
        "title": "Founder/CEO",
        "founder_bio": "Founder, Zep AI. Engineer turned startup founder (previously KnowledgeTree) and late-stage operator (SparkPost acquired MessageBird), with detours as a Data Science, Marketing, and Corp Dev guy. \n\nStill an engineer at heart and have a soft spot for Go.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/danielchalef",
        "x_url": "https://twitter.com/danielchalef",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dd4658ad4e97387766ac3f0a1ee51f1c59c048d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 102880,
        "title": "Head of Forward Deployed Engineering",
        "url": "https://www.ycombinator.com/companies/zep-ai/jobs/mVon3qA-head-of-forward-deployed-engineering",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
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        "id": 105318,
        "title": "Member of Technical Staff: Research",
        "url": "https://www.ycombinator.com/companies/zep-ai/jobs/8YxqiAO-member-of-technical-staff-research",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
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      {
        "id": 83738,
        "title": "Graphiti by Zep AI : A library for building dynamic Knowledge Graphs",
        "tagline": "Accurate, Current Data for AI Agents",
        "body": "Hey! We're Paul, Preston, and Daniel from Zep AI. We've just [open-sourced Graphiti](https://git.new/graphiti), a Python library for building temporal Knowledge Graphs using LLMs.\n\n<https://youtu.be/sygRBjILDn8>\n\nGraphiti helps you create and query graphs that evolve over time. Think of a knowledge graph as a network of interconnected facts, such as _“Kendra loves Adidas shoes.”_ Each fact is a “triplet, represented by two entities, or nodes (_”Kendra,” “Adidas shoes”_), and their relationship, or edge (_”loves”_). Knowledge Graphs have been explored extensively for information retrieval. What makes Graphiti unique is its ability to autonomously build a knowledge graph while handling changing relationships and maintaining historical context.\n\nAt Zep, we build a [memory layer for LLM applications](https://www.getzep.com). Developers use Zep to recall relevant user information from past conversations without including the entire chat history in a prompt. Accurate context is crucial for LLM applications. If an AI agent doesn't remember that you've changed jobs or confuses the chronology of events, its responses can be jarring or irrelevant, or worse, inaccurate.\n\n# Zep’s Suboptimal Fact Pipeline\n\nBefore Graphiti, our approach to storing and retrieving user “memory” was, in effect, a specialized RAG pipeline. An LLM extracted “facts” from a user’s chat history. Semantic search, reranking, and other techniques then surfaced facts relevant to the current conversation back to a developer for inclusion in their prompt.\n\nUnfortunately, this approach became problematic. Reconciling facts from increasingly complex conversations challenged even frontier LLMs such as gpt-4o. We saw incomplete facts, poor recall, and hallucinations. Our RAG search also failed at times to capture the nuanced relationships between facts, leading to irrelevant or contradictory information being retrieved.\n\nWe tried fixing these issues with prompt optimization but saw diminishing returns on effort. We realized that a graph would help model a user’s complex world, potentially addressing these challenges.\n\n# Building Graphiti\n\nWe were intrigued by Microsoft’s GraphRAG, which expanded on RAG text chunking with a graph to better model a document corpus. However, it didn't solve our core problem: GraphRAG is designed for static documents and doesn't natively handle temporality.\n\n![uploaded image](/media/?type=post&id=83738&key=user_uploads/808515/db4712c7-1171-4115-ad7b-67896c754a65)\n\nSo, we built Graphiti, a [temporal Knowledge Graph](https://github.com/getzep/graphiti) library, which is designed from the ground up to handle constantly changing information, hybrid semantic and graph search, and scale:\n\n* **Temporal Awareness**: Tracks changes in facts and relationships over time. Graph edges include temporal metadata to record relationship lifecycles.\n* **Episodic Processing**: Ingests data as discrete episodes, maintaining data provenance and enabling incremental processing.\n* **Hybrid Search**: Semantic and BM25 full-text search, with the ability to rerank results by distance from a central node.\n* **Scalable**: Designed for large datasets, parallelizing LLM calls for batch processing while preserving event chronology.\n* **Varied Sources**: Ingests both unstructured text and structured data.\n\n# Getting Started\n\nGraphiti is open-source and available on GitHub: <https://git.new/graphiti>\n\nQuick Start: `pip install graphiti-core`\n\nWhile we developed Graphiti for our needs at Zep, we believe it could be useful for any application dealing with evolving, interconnected data, such as:\n\n* Personal AI assistants that need to maintain user context over time\n* Knowledge management systems for rapidly changing domains\n* Social network analysis tools\n* Financial systems tracking changing relationships and transactions\n\nIf you try, we'd love to hear your thoughts, questions, and experiences. Please also consider contributing!\n\n![uploaded image](/media/?type=post&id=83738&key=user_uploads/808515/3d306962-fad2-44fd-9232-862ddd961d0d)\n\n",
        "url": "https://www.ycombinator.com/launches/Lmc-graphiti-by-zep-ai-a-library-for-building-dynamic-knowledge-graphs",
        "votes": 19,
        "created_at": "2024-09-04T15:35:06.052Z"
      },
      {
        "id": 81733,
        "title": "Zep: Fast, accurate structured data extraction for AI assistant apps",
        "tagline": "10x faster than GPT-4o, with field format and validity guarantees.",
        "body": "Many business and consumer apps must extract structured data from conversations between an LLM-powered Assistant and a human user. Often, the extracted data is the objective of the conversation. Consider completing a sales order, making a reservation, or requesting leave. All of these tasks require progressively collecting data from the conversation.\n\nLatency and correctness are important. You will often want to identify the correct data values you have collected and those you still need. You’ll then prompt the LLM to request the latter.\n\n<https://youtu.be/k8e8NsoVzFo>\n\nIf you’re making multiple calls to an LLM to extract and validate data on every chat turn, you’re likely adding significant latency to your response. This can be a slow and inaccurate exercise, frustrating your users.\n\nZep’s new Structured Data Extraction feature is a low-latency, high-accuracy tool for extracting the data you need from Chat History stored in Zep's Long-term Memory service.\n\n> **Up to 10x faster than gpt-4o.** For many multi-field extraction tasks, you can **expect latency of under 400ms,** with the addition of fields increasing latency sub-linearly.\n\n## Comparing Zep with LLM JSON Mode\n\nMany model providers offer a JSON inference mode that guarantees the output will be well-formed JSON.\n\nHowever:\n\n* There are no guarantees that the field values will conform to the JSON Schema you define or that they are correct (vs. being hallucinated).\n* All fields are extracted in a single inference call, with additional fields adding linearly or greater to extraction latency.\n\n#### Preprocessing, Guided LLM Output, and Validation\n\nTo ensure that the extracted data is in the format you expect and is valid given the current dialog, Zep uses a combination of:\n\n* dialog preprocessing, which, amongst other things, improves accuracy for machine-transcribed dialogs;\n* using guided output inference techniques on LLMs running on our own infrastructure;\n* and post-inference validation.\n\nYou will not receive back data in an incorrect format when using a Zep field type such as email, zip code, or date time.\n\nWhile there are limits to the extraction accuracy when the conversation is very nuanced or ambiguous, carefully crafting field descriptions can achieve high accuracy in most cases.\n\n#### Up to 10x Faster than OpenAI gpt-4o\n\nWhen comparing like-to-like JSON Schema model extraction against gpt-4o, Zep is up to 10x faster.\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/7adc0720-a2ed-43d9-88ed-1bd883f819c7)\n\nZep's extraction latency scales sub-linearly with the number of fields in your model. That is, you may add additional fields with a low marginal increase in latency.\n\n## Support for Partial and Relative Dates\n\nZep understands various date and time formats, including relative times such as _“yesterday”_ or _“last week.”_ It can also parse partial dates and times, such as _“at 3pm”_ or _“on the 15th.”_\n\n## Extracting from Speech Transcripts\n\nZep can understand and extract data from machine-transcribed transcripts. Spelled-out numbers and dates will be parsed as if they were written language. Utterances such as “uh” or “um” are ignored.\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/8ab99f7f-0672-42dc-9d35-b06c37a33c7a)\n\n## Using Progressive Data Extraction To Guide LLMs\n\nYour application may need to collect several fields to accomplish a task. Since Zep's SDE is so fast, you can guide the LLM through this process by calling the extractor on every chat turn. This enables you to identify which fields are still needed and then direct the LLM to collect the remaining data.\n\n```\nYou have already collected the following data:\n- Company name: Acme Inc.\n- Lead name: John Doe\n- Lead email: john.doe@acme.com\n\nYou still need to collect the following data:\n- Lead phone number\n- Lead budget\n- Product name\n- Zip code\n\nDo not ask for all fields at once. Rather, work the fields \ninto your conversation with the user and gradually collect the data.\n```\n\n## Next Steps\n\n1. Learn more in the [Zep Structured Data Guide](https://help.getzep.com/structured-data-extraction).\n2. Sign up for Zep's [Long-term Memory Service for AI Assistants](https://www.getzep.com/).\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/0a1d48ed-3bde-4b77-b3e7-08ffe0fa3deb)\n\n",
        "url": "https://www.ycombinator.com/launches/LGH-zep-fast-accurate-structured-data-extraction-for-ai-assistant-apps",
        "votes": 17,
        "created_at": "2024-06-25T16:05:02.992Z"
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      {
        "id": 79302,
        "title": "Zep - Long-term memory for AI assistants",
        "tagline": "Build Assistants that know your users.",
        "body": "[Zep](https://www.getzep.com/) is the easiest way to add long-term memory to your AI Assistant. With Zep, you can recall, understand, and extract data from chat histories, enabling you to build rich, personalized experiences. \n\n**Sign up for the **[**Zep Cloud**](https://www.getzep.com/)** and get a Zep Bot T-Shirt when you go live!**\n\ntl;dr\n\n* Zep ensures your Assistant **remembers relevant facts and nuance** from historical conversations, no matter how distant in the past.\n* **Zep makes dialog useful**: Control program flow, extract structured data, select the right prompts or tools, build customer segments, and more.\n* **Fast**! Minimize the number of LLM calls keeping your users waiting. Zep completes tasks in a 1/10 of the time compared to similar functionality built with OpenAI.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/c1ac513c-7ef4-4406-b98a-3e3b4ff94134)\n\n<https://www.youtube.com/watch?v=qVspUE_R-iI>\n\n**Zep In Action: The Amazing ShoeStoreBot**\n\nManaging sales, returns, and order inquiries is all in a day’s work for this hard-working ShoeStoreBot. It remembers past customers, their budgets, brand preferences, shoe size, and more.\n\n<https://www.youtube.com/watch?v=AC4VTqLYYhM>\n\n**Perpetual Memory:  Your Assistant will never forget a user.**\n\nAutomagically populate prompts with relevant facts and summaries extracted from past conversations, no matter how distant.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/6672d796-e8c6-46de-9f65-53dcae5b54ea)\n\n**Dialog Classifier: Instantly and accurately understand chat dialog.**\n\nIdentify user intent, emotion, segmentation, and more. Control program flow with semantic context, using the right prompts, tools, and agents depending on the current dialog.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/5967ab25-86e6-4526-8fc0-aba4c87c6c58)\n\n**Extract Structured Data from Dialog**\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/89656e21-5687-4d6d-a8b8-f4a728e19562)\n\nQuickly extract business data from chat conversations. Understand what your Assistant should ask for next to complete its task.\n\n**Support for Your Favorite Languages and Frameworks**\n\nAre you a Python, TypeScript, LangChain, LangChain.js, Chainlit, or FlowWise person? We got you covered.\n\n**The Zep Team**\n\nZep was founded by [Daniel](https://www.linkedin.com/in/danielchalef/) (hi!), who was recently joined by 2 engineers he worked with previously (Peter & Paul!). Daniel led ML at SparkPost (acquired by MessageBird), and previously founded KnowledgeTree (another popular open source project from the 2000s). Despite taking on marketing and corp dev roles in previous lives, he remains an engineer at heart.\n\nDaniel accidentally started Zep when he got frustrated that no delightful software existed to do what Zep does today. He built an early version and stuck it up on GitHub, and one thing led to another.",
        "url": "https://www.ycombinator.com/launches/Kd4-zep-long-term-memory-for-ai-assistants",
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        "created_at": "2024-03-12T13:34:56.206Z"
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        "title": "Hatchet - Background task orchestration and visibility platform",
        "tagline": "We help engineers run fast and reliable background tasks",
        "body": "**tl;dr** - At a certain scale, all applications need a task queue - think Celery for Python, BullMQ for Node.js, and Sidekiq for Rails. [Hatchet](https://hatchet.run) is an [open-source](https://github.com/hatchet-dev/hatchet), managed task queue focused on scale, reliability, and improved developer experience. \n\n<https://youtu.be/3myPYVyaqwM>\n\n**The problem**\n\nBuilding a reliable application is difficult — network connections can fail or be interrupted, the application could run out of memory, or a bad commit on production can take down your entire service. To reduce the pressure on APIs, task queues are typically used to offload different parts of the application logic to other services in the system.\n\nHowever, these queues introduce more points of failure — they require new infrastructure, a new set of integrations to monitor and debug your tasks, and are difficult to use in development. As applications begin to scale, application developers are forced to implement solutions to avoid queue overflow and overcrowding and to think about how to optimize their queues.\n\nWith LLM APIs — which are high latency and highly variable in response quality — these problems are even worse. It’s now typical to ingest, sync, vectorize, and index the entirety of multiple data sources on account creation, and as LLM systems get more agentic, developers need to chain together unreliable LLM calls to fulfill requests. These requests are often slow and without the right architecture delivering a responsive and reliable user experience is challenging.\n\n**The solution**\n\nHatchet is an **end-to-end platform** for task orchestration. It includes a web UI for monitoring tasks, an API for interacting with tasks and workflows, and SDKs for Python, Typescript, and Golang.\n\n![uploaded image](/media/?type=post&id=79258&key=user_uploads/363082/1617c928-fc04-4482-9b13-98c342e14694)\n\nHatchet has all the features you’d expect — like **retries, timeouts**, and **cron schedules** — along with features that developers are usually asked to build, like handling different **fairness and concurrency patterns**, **durable execution**, and **result streaming**.\n\n**The team**\n\nWe’re both ex-CTOs and founders of multiple YC-funded companies — [Alexander](https://linkedin.com/in/alexander-belanger-aa3974135) was co-founder and CTO at [Porter](https://porter.run) (S20) while [Gabe](https://linkedin.com/in/gruttner) was co-founder and CTO at [Clearmix](https://www.ycombinator.com/companies/clearmix) (also S20). Before that, Alexander got his Master’s in Physics from UPenn while Gabe got his Master’s in AI from Cornell.\n\nAlexander started working on this after years of wrangling task queues and distributed systems at both Porter and [Oneleet](https://oneleet.com), where he experienced the issues of building complex task orchestration and workflows. Gabe came at this from another perspective, having spent the last few years working with ML and more recently LLM stacks, where he saw the architectural problems that many of these applications have.\n\nWe immediately bonded over our excitement about what infrastructure will look like as AI becomes core to nearly every business.\n\n![uploaded image](/media/?type=post&id=79258&key=user_uploads/363082/e77d894d-1e99-4128-9bff-65f905d97571)\n\n**How do I get started?**\n\nHatchet is fully open source with an [invite-only cloud offering](https://hatchet.run/request-access). Feel free to request access or check out the [self-hosting Hatchet](https://docs.hatchet.run/self-hosting) docs.\n\nIf you’re dealing with observability problems in your queue, are running batch processing of documents for LLM workflows, or are experiencing queue fairness problems in multi-tenant apps, we’d love to chat.\n\nAnd if you have any questions — or you’re just interested in distributed systems, task queues, and scheduling — we have a [public Discord](https://discord.gg/ZMeUafwH89). See you there!",
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      }
    ],
    "news": [
      {
        "title": "Stacksync on the rise",
        "url": "https://www.startupticker.ch/en/news/stacksync-on-the-rise?utm_source=newsletter586&utm_medium=email&utm_campaign=newsletter586",
        "date": "Jan 26, 2024"
      },
      {
        "title": "CES 2024: Swiss delegation braces for Las Vegas",
        "url": "https://www.startupticker.ch/en/news/ces-2024-swiss-delegation-braces-for-las-vegas",
        "date": "Jan 05, 2024"
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    ],
    "launches": [
      {
        "id": 77196,
        "title": "Stacksync: Real-time and two-way sync between CRMs and Databases",
        "tagline": "READ and WRITE your CRM data with SQL queries!",
        "body": "Hey everyone! We’re [**Ruben**](https://bookface.ycombinator.com/user/1327024) and [**Alexis**](https://bookface.ycombinator.com/user/1685532) from [**Stacksync**](https://www.stacksync.cloud/), here to help you forget about complex CRM APIs. 👋\n\n\\*\\*TL;DR \\*\\* [**Stacksync**](https://www.stacksync.cloud/) powers real-time and two-way sync between CRMs and databases. With two-way sync, we turn your database into a **READ AND WRITE** interface to your CRM data. From your database, _make SQL queries to update data at any scale_ and your CRM will reflect these changes instantly. And vice-versa, when you update data in your CRM, your database is immediately updated.\n\nTry it yourself and [**get started here!**](https://www.stacksync.cloud/)\n\n![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/63cc74de-7bec-4caa-8d25-a1a6f6d902d8)\n\n**💥 Problem**\n\nDevelopers hate using CRM APIs. Their documentation is hard to navigate, with multiple edge cases and data inconsistencies have severe business consequences. This makes CRM integration complex, time consuming and costly. Worse, business teams working daily in CRMs are left with outdated or no data at all, while the data insights they need are just available in the database: it simply requires too much investment in development and maintenance.\n\n**✅ Solution**\n\nWith two-way sync, we turn your database into a read+write interface to your CRM. So instead of reading and writing data from an API, just do it with SQL queries in the database that you already know and love. Whenever data is updated in your database, it instantly syncs to your CRM and vice-versa.\n\nStacksync is different because it is the first tool that delivers consistent data you can trust in real-time. Stacksync just works. The setup is done in less than 5 minutes, without a single line of code.\n\n[Watch demo here: https://www.youtube.com/watch?v=XrigWqlSQnQ](https://www.youtube.com/watch?v=XrigWqlSQnQ)\n\n**🪄 How it works**\n\nNo-code makes it easy. Start by [**creating your account**](https://www.stacksync.cloud/) for free, then\n\n1. Connect your Apps\n\n   ![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/ce17348d-2078-4dea-9170-0a1320b6665c)\n\n2. Choose which tables your want to sync\n\n   ![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/4532ea18-a1da-44cc-8855-9bd694d36f3c)\n\n3. Map your fields\n\n   ![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/f1778ed4-16ad-46cd-865a-a9a5939efee3)\n\n\nThat’s it! 🎉\n\n**💰 Pricing**\n\nSimple CRM integrations start at 200$/month, and you can upgrade on a pay-as-you-go for large data volumes.\n\nYC Companies get a [**Deal (80% discount for a year, worth 120k free credits)**](https://bookface.ycombinator.com/deals/2173)!\n\n**💜 Our Ask**\n\nTry it yourself and [**get started here**](https://www.stacksync.cloud/)\n\n* Schedule a call if you’re interested: [cal.com/rubenburdin](https://cal.com/rubenburdin/30min)\n* Share with anyone that you think could benefit from simpler CRM integration (warm intros are welcome!) 😉\n* We would appreciate any candid feedback!\n* Need a feature or connector? Let us build it for you here and now!\n\nIf you have any questions, feel free to reach out to my personal email [ruben@stacksync.cloud](https://ruben@stacksync.cloud)\n\n![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/29d754ee-4784-43a2-b5be-0037e98cbf97)\n\n",
        "url": "https://www.ycombinator.com/launches/K56-stacksync-real-time-and-two-way-sync-between-crms-and-databases",
        "votes": 45,
        "created_at": "2024-01-03T11:13:29.045Z"
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    "id": 29435,
    "name": "Terrakotta",
    "slug": "terrakotta",
    "former_names": [
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    "website": "https://www.terrakotta.ai/",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Terrakotta is a power-dialer that lets sales reps leave AI-generated voicemails.  Our first customers are Commercial Real Estate brokerages that use Terrakotta to clone their brokers voices, dial prospects and when no one answers, leave an A/B tested, personalized voicemail that gets a callback.",
    "one_liner": "AI platform for phone-first sellers",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1704332820,
    "tags": [
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      "Telecommunications",
      "Home Services",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Sales"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/terrakotta",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/terrakotta.json",
    "year_founded": 2023,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/terrakotta-ai/about/",
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      "url": "https://www.ycombinator.com/people/brad-flora"
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        "full_name": "Vincent Wilson",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Terrakotta. Vincent studied CS at the University of Washington and was an incoming FDSE at Palantir before he dropped out to found Terrakotta.",
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        "linkedin_url": "https://linkedin.com/in/vincent-wilson-5105141b7",
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      {
        "user_id": 1644932,
        "full_name": "Kusiima Boswell",
        "title": "Founder/CPO",
        "founder_bio": "Kusiima is the co-founder and COO of Terrakotta. Before Terrakotta, he studied business and CS at the University of Pennsylvania (Wharton & Penn Engineering). In his senior year, Kusiima built and trained a ML model that correctly predicted stock price increases/decreases with 65% accuracy. After Penn, Kusiima joined McKinsey & Company where he wrote custom data solutions for $10B+ technology companies, worked directly with execs to create GTM strategies, and led private equity due diligence.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kusiimaboswell/",
        "x_url": "https://x.com/kusiimaboswell",
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      {
        "user_id": 1233521,
        "full_name": "Gabriel Wilson",
        "title": "Founder/CTO",
        "founder_bio": "I'm one of the founders of Terrakotta. Before building Terrakotta, I was obsessed with scaling peer to peer networks. By day, I was a SWE at Lyft where I wrote code that powered millions of rides and by night I built StoreStash a profitable gig economy storage platform. Now I'm all in on AI voice because our sales engagement platform will connect millions of people with the right message at the right time.\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gabriel-wilson-2b480914b",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b6b33d02a1d3e8ecc1e26db8d7865260e3f0e0f.jpg"
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      {
        "id": 77038,
        "title": "Senior Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/terrakotta/jobs/rYDqZJs-senior-full-stack-engineer",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $160K",
        "equity_range": "0.25% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "React"
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      },
      {
        "id": 78788,
        "title": "Founding Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/terrakotta/jobs/Hqp77TT-founding-sales-development-representative",
        "location": "Seattle, WA, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$65K - $95K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85536,
        "title": "Software Engineer (Product, New Grad)",
        "url": "https://www.ycombinator.com/companies/terrakotta/jobs/xl27Ohw-software-engineer-product-new-grad",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $150K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 94328,
        "title": "Full Cycle AE",
        "url": "https://www.ycombinator.com/companies/terrakotta/jobs/bJuTBEu-full-cycle-ae",
        "location": "Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 79253,
        "title": "Terrakotta: Add voice as a channel to grow your business 🗣️",
        "tagline": "AI web-phone designed for cold outreach",
        "body": "TL;DR: [Terrakotta](https://www.terrakotta.ai/) is a web-phone that uses personalized AI voicemails to double the number of contacts you can engage over the phone. Voicemails left using Terrakotta are personalized to every contact and generate more callbacks than generic scripts.\n\n![uploaded image](/media/?type=post&id=79253&key=user_uploads/1032568/e407487e-18cb-4c20-b6ba-0c2257e42252)\n\n👋Hey Everyone! We’re Kus, Vincent, and Gabe (from left to right) and we are the founders of Terrakotta. Terrakotta lets users leverage their unique voice (yes, their literal voice) to grow their business. We’re calling it ‘voice nurture’.\n\n**Problem**\n\nVoicemail is a great growth channel to generate interest and callbacks from leads, but historically it hasn’t scaled well. Leaving voicemails during call sessions is: \n\n* Time-consuming\n* Repetitive\n* Tiring\n\n \n\n**Solution: ☎️⚡️Here’s what a call session looks like in Terrakotta⚡️☎️**\n\nWith Terrakotta users can clone their voice, load up a contact list, and set a dynamic AI voicemail script that will be personalized for unanswered calls. From there, users can flip on the auto-dial feature and zoom through their call list, reaching up to 100 contacts/hour.\n\n![](https://lh7-us.googleusercontent.com/BPwVoxEx28ZdtBWjg-vbJvTtJ3SncmfG5Y2vNv-DYP0X7qPheGSAbrc5TMvgnmDEt2N_oyJtj8d5GCCZQyDy5yPi3n_qB6dmfGEwooFBt4v1-97h87uaAX-X0-Ktx6i3VLfrnLYdDic7lzURlNuhyxs)\n\n_(Don’t worry: the contacts are not real people; the phone numbers are our many test lines)_\n\n**About the squad**\n\n* [**Vincent**](https://linkedin.com/in/vincent-wilson-5105141b7) was an incoming Software Engineer at Palantir before dropping out of college to found Terrakotta.\n* [**Kus**](https://www.linkedin.com/in/kusiima-boswell-84a1a5151) was a Senior Analyst at McKinsey where he wrote custom data solutions and advised principal investors / GTM execs on strategy. \n* [**Gabe**](https://linkedin.com/in/gabriel-wilson-2b480914b) was a software engineer for Lyft Business and Human Interest (S15).\n\n \n\nWe (strangely) have lots of friends in commercial real estate, and the number one thing they complain about is making outbound phone calls. We’re using our experience with software development and GTM in different contexts to take on this problem in commercial real estate and prove the ability of voice nurture as a growth channel.\n\n**Our asks**\n\n* **If you’re making lots of cold calls and want to do it more efficiently** - try it out!: <https://www.terrakotta.ai/>\n* **Get in touch with us** **if you’re looking for new channels** like voicemail to grow your business\n* **Give us feedback on what you think of the voice-cloning feature - how accurate do you think it is?**\n\n[Email us](mailto:vincent@terrakotta.ai) if you want to check it out.\n\nOr schedule a demo here \n\nThanks for reading!",
        "url": "https://www.ycombinator.com/launches/KcH-terrakotta-add-voice-as-a-channel-to-grow-your-business",
        "votes": 25,
        "created_at": "2024-03-11T14:19:47.987Z"
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  {
    "id": 29436,
    "name": "Downlink",
    "slug": "downlink",
    "former_names": [
      "Titan"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2f0650df38d9aa75beacac3780049ee1e0a7818.png",
    "website": "https://downlink.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Downlink is a platform that continuously improves your AI.\r\n\r\nBoost rate limits, slash latency, and raise accuracy.\u0003All through one simple API.",
    "one_liner": "Make your LLMs 3x faster.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1708740244,
    "tags": [
      "Developer Tools",
      "SaaS",
      "API",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/downlink",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/downlink.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/downlink/",
    "x_url": "https://x.com/_downlink",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/Titan-Systems",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2f0650df38d9aa75beacac3780049ee1e0a7818.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 57929,
        "full_name": "TJ Murphy",
        "title": "Founder",
        "founder_bio": "Founder, Downlink. Make your LLMs 3x faster.\n\nI build internet-scale data infrastructure.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/tjmurphy",
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    "launches": []
  },
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    "id": 29438,
    "name": "Spark",
    "slug": "spark",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/334553fe55450cd0888b7e50f8918d05c8491633.png",
    "website": "https://www.sparkhq.ai",
    "all_locations": "",
    "long_description": "Spark AI is workflow software for solar, storage, and data center developers. We've reviewed and identified over 1 million zoning, permitting, and project-related documents in nearly every jurisdiction in America, so that you can instantly identify project requirements, local sentiment, and fatal flaws in seconds.\r\n\r\nWe’re trusted by dozens of industry-leading developers representing over 90 gigawatts of project pipeline and $30 billion in financing. Our team combines leadership experience from AI and energy (Microsoft, Apple, Department of Energy, Brex).",
    "one_liner": "AI-powered workflows for energy infrastructure",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1708060326,
    "tags": [
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      "Solar Power",
      "Climate",
      "Energy",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
    "industries": [
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/spark",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/spark.json",
    "year_founded": 2023,
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        "user_id": 129719,
        "full_name": "Julia Wu",
        "title": "Founder/CEO",
        "founder_bio": "Julia is the co-founder and CEO of Spark, an AI-powered permitting and workflow solution for energy infrastructure.\nBefore Spark, Julia was an engineering manager and early engineer at Brex, where she led teams like Card Fraud, Growth, and Rewards. She was also an engineer at Apple Siri and Microsoft Azure. Julia studied computer science & economics at Brown, speaks 3 languages natively, and grew up between Brazil and China. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/wu-julia",
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      {
        "user_id": 307611,
        "full_name": "Anuj Saigal",
        "title": "Founder",
        "founder_bio": "Anuj Saigal is co-founder of Spark AI. He spent a decade building energy infrastructure at SunEdison, EVgo, and the Department of Energy before building the permitting tool he always needed. Previously CEO of Dataherald (YC W21), revenue lead at Nauto. Northwestern Kellogg MBA, UC Berkeley Economics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anujsaigal/",
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        "id": 73632,
        "title": "Software Engineer, Full Stack - Founding Team",
        "url": "https://www.ycombinator.com/companies/spark/jobs/kDeJlPK-software-engineer-full-stack-founding-team",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
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        "equity_range": "",
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      {
        "id": 86218,
        "title": "Growth + Operations (BizOps) Associate / Manager",
        "url": "https://www.ycombinator.com/companies/spark/jobs/UKGQ0Fd-growth-operations-bizops-associate-manager",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$70K - $150K",
        "equity_range": "",
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    "news": [],
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        "id": 113436,
        "title": "Spark AI: Stakeholder Intelligence for Data Center Permitting",
        "tagline": "See who decides your permit, and how they'll vote, before you break ground",
        "body": "Hi everyone, we're [Julia](https://www.linkedin.com/in/wu-julia/) and [Anuj](https://www.linkedin.com/in/anujsaigal/), co-founders of [Spark AI](https://www.sparkhq.ai/).\n\n### **TL;DR**\n\nSee who decides your permit, and how they'll vote, before you break ground\n\nEvery data center in America has to get through a local zoning board before it gets built. We mapped and tracked every jurisdiction, project, and land use regulation in the country, and we just launched Stakeholder Intelligence, a tool that tells you who's deciding your permit, their voting history, and what's likely to happen next. **If you're developing (or powering) data centers, or know someone who is, we want to talk.**\n\n### ❌ The Problem\n\nData centers land next to real communities: people who didn't ask for a giant, humming building showing up in their backyard. A lot of them fight it.\n\nThat fight runs entirely through local politics: county boards, township councils, zoning authorities. Real people with real voting histories, some of whom love solar and hate data centers, some the reverse, and it shifts constantly.\n\n* Data centers are having the roughest time of any large-scale asset class right now. 42% of gigawatt-scale data center projects announced in 2025 have already run into a local moratorium, suspension, legal challenge, or permit denial. That's not an edge case anymore, it's closer to a 50/50 bet.\n* And it's accelerating. Within six months of announcement, \\~24% hit that same wall in 2025, nearly triple 2024's rate (8%) and more than triple 2023's (7%).\n\nFederal and state policy get all the coverage. But the actual bottleneck on AI compute buildout sits in a Tuesday night meeting in a county most people can't find on a map, and almost nobody tracks it systematically. Developers either fly someone out to sit through hours of public comment, or they pay consultants a lot of money to tell them what already happened last month.\n\n### ✅ How Spark Works: Stakeholder Intelligence\n\nStakeholder intelligence surfaces every board member, commissioner, officer’s past decisions, meetings and votes from our databases and web search agents running across the country.\n\n<https://youtu.be/-YclcbrBUh8>\n\n**We watch the game tape for you.** For every authority in the US, you get the meeting video, the transcript, the decision, and our summary of what actually mattered. Topics covered, who said what, what got decided. What used to take someone three hours of watching public comment now takes about thirty seconds of reading.\n\n![uploaded image](/media/?type=post&id=113436&key=user_uploads/307611/076af213-dd78-4d58-acf8-c249244260cb)\n\n**NIMBY tracking.** We score every county in the country on data center permitting posture: moratoriums, zoning rules, sentiment grounded in local news coverage, and utility interconnection posture. That rolls into a tier and a score, so you know before you sign a lease whether you're walking into a fight.\n\n![uploaded image](/media/?type=post&id=113436&key=user_uploads/307611/21ab4ec3-c751-4de6-845a-2cef9e732d7c)\n\n**Alerts.** Ordinances change, moratoriums get proposed, projects move. We tell you when it happens instead of you finding out from a headline.\n\n### Backstory\n\nJulia grew up in and around factories, in the supply chain corridor between Asia and Latin America, before building data and search infrastructure for Apple's Siri team. Anuj spent a decade financing and building energy infrastructure, at the Department of Energy, SunEdison, and EVgo, before founding his last company, Dataherald (YC W21).\n\n![uploaded image](/media/?type=post&id=113436&key=user_uploads/307611/870f82a4-1496-4bc2-b433-a69d13c8ea24)\n\n### Who We Work With\n\nAlphabet (Intersect), NextEra, DE Shaw Renewables, Nodiac, and a set of world class developers and Fortune 500s carrying over 200GW of pipeline between them.\n\n### How You Can Help\n\nIf you or anyone in your network is developing data centers, large or small, we want the intro. We're especially trying to connect with people close to Terawulf, Vantage, Equinix, CyrusOne, and Digital Realty.\n\nReach us at [founders@sparkhq.ai](mailto:founders@sparkhq.ai). Or happy to jump on a call: [**calendar link**](https://calendly.com/d/cyty-zwg-3bb).",
        "url": "https://www.ycombinator.com/launches/TVc-spark-ai-stakeholder-intelligence-for-data-center-permitting",
        "votes": 8,
        "created_at": "2026-09-02T16:01:00.565Z"
      },
      {
        "id": 96116,
        "title": "Spark: Permitting Intelligence for AI Infrastructure",
        "tagline": "Spark helps energy infrastructure developers cut through permitting red tape",
        "body": "### TL;DR\n\nWith [Spark AI](https://www.sparkhq.ai/), developers can instantly identify permitting requirements and fatal flaws in seconds, not weeks.\n\nWe have parsed more than 1 million zoning, permitting, town hall meetings, and project documents. Our systems ingest PDFs, maps, land use codes, moratoria, interconnection queues, and local websites across thousands of jurisdictions.\n\n### Permitting is the silent killer of energy infrastructure projects\n\nAn estimated $98 billion in projects were [blocked or delayed](https://www.datacenterwatch.org) in Q2 2025. A one-month delay on a 60 MW data center can [erase $10M in value](https://www.foresight.works/case-study/foresight-driving-projects-blind). Speed to power determines who wins in data center, storage, and generation.\n\nCritical information lives inside thousands of scattered, inconsistent zoning codes, permits, and local records. Teams miss high-potential sites, waste months on weak ones, and get outpaced by competitors.\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/ac5a347e-6cae-406e-8867-a98f5d8cd5ba)\n\n### Enter Spark: De-risking Speed to Power\n\nSpark pulls everything into one place and makes permitting intelligence instant.\n\nSpark scans millions of PDFs, maps, land use codes, and local websites to surface permitting rules and community sentiment. What used to take weeks now takes seconds. The same engine evaluates individual parcels or entire data rooms.\n\nhttps://youtu.be/6wvFwUNPrks\n\n**Rapid Permit Matrix 📄**\n\nWe run the permitting gauntlet for hyperscalers, energy developers, and BESS operators at a fraction of the cost and time.\n\nSpark generates a complete permit matrix that captures the legal, procedural, and social landscape of any site. Developers move faster on strong sites and eliminate weak ones early.\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/867df1aa-ea4b-4b25-96a1-003942873b64)\n\n**Social Media Sentiment 👥**\n\nLocal opposition begins online long before public hearings. Grassroots groups and Facebook communities shape the approval landscape months in advance.\n\nSpark tracks social media activity across every U.S. county for solar, storage, and data center projects. Users identify relevant groups, engagement patterns, and sentiment before the first meeting hits the calendar.\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/75434906-6ad4-48ab-83f0-4740c6350b2b)\n\nDon’t just take it from us: We’re trusted by dozens of industry-leading developers representing over 90 gigawatts of project pipeline and $30 billion in financing: Cypress Creek Renewables, Standard Solar, Arevon, UGE ([case study](https://sparknotes.beehiiv.com/p/from-bottleneck-to-breakthrough)), DESRI, Dynamic Energy ([case study](https://sparknotes.beehiiv.com/p/dynamic-energy)), and many others.\n\n### Core Team\n\nOur founding team, [Julia Wu](https://www.linkedin.com/in/wu-julia/), [Anuj Saigal](https://www.linkedin.com/in/anujsaigal/?utm_source=sparknotes.beehiiv.com&utm_medium=referral&utm_campaign=ai-for-a-mission-recruiting-post), [Luca Marturana](https://www.linkedin.com/in/lucamarturana/?utm_source=sparknotes.beehiiv.com&utm_medium=referral&utm_campaign=ai-for-a-mission-recruiting-post), [Wendell Beane](https://www.linkedin.com/in/wendell-beane-21861712b/), [Shivam Agarwal](https://www.linkedin.com/in/shivam-agarwal-77604ab8/), combines years of leadership in AI and energy.\n\nWe come from Apple, Microsoft, SunEdison, the Department of Energy, and multiple YC startups.\n\n### Our Ask\n\nWe’re partnering with developers and operators building the future of compute and energy. If that’s you, we’d love to chat! [**Book a demo here**](https://calendly.com/d/4qp-yyt-qxw/spark-ai-demo)**, or reach out to [founders@sparkhq.ai](mailto:founders@sparkhq.ai)**\n\nWe are hiring across [operations/growth](https://www.ycombinator.com/companies/spark/jobs/UKGQ0Fd-spark-ai-growth-and-operations-associate-manager) and [engineering](https://www.ycombinator.com/companies/spark/jobs/kDeJlPK-software-engineer-full-stack-founding-team)! If this mission sounds exciting to you or someone you know, reach out to [hiring@sparkhq.ai](mailto:hiring@sparkhq.ai)\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/45f5786b-f5fb-45ab-85a2-f2e05768bb19)\n\n",
        "url": "https://www.ycombinator.com/launches/P0G-spark-permitting-intelligence-for-ai-infrastructure",
        "votes": 13,
        "created_at": "2025-12-10T19:23:49.741Z"
      },
      {
        "id": 78596,
        "title": "⚡️ Spark - AI-powered workflows for large-scale clean energy development",
        "tagline": "We help large-scale clean energy developers break ground faster",
        "body": "**😎 TL;DR**\n\n[Spark](https://www.sparkhq.ai/) is an AI-powered planning and workflow tool for large-scale clean energy developers that lets them break ground faster. Tae and Julia were previously engineering and product leaders at Tesla, Apple, and Brex.\n\nWe are trusted by award-winning solar and battery developers with nearly 1 GW of projects across the US. If you are a utility or community-scale developer, [book a call with us](https://calendly.com/d/4qp-yyt-qxw/spark-demo) to learn more.\n\n![uploaded image](/media/?type=post&id=78596&key=user_uploads/129719/b48282f6-7002-4eba-92e9-dc5307a6c58e)\n\n**🔌 The Problem**\n\nWe are in the midst of a generational energy transition, with solar deployment expanding at an annualized rate of roughly [$500B](https://twitter.com/patrickc/status/1698496805162353029) globally, and the Inflation Reduction Act unleashing another [$400B](https://www.mckinsey.com/industries/public-sector/our-insights/the-inflation-reduction-act-heres-whats-in-it) in federal funding. To meet the soaring demand for clean energy, the US must [build](https://www.motherjones.com/environment/2023/04/electrify-everything-scope-data/) an equivalent amount of clean generation by 2035 to the total electricity supplied by all sources today.\n\nDespite this rapid deployment, utility-scale clean energy developers often spend months assessing and preparing their projects for financing and construction due to varying policies, interconnection, and permitting requirements across jurisdictions. This pre-construction phase is an error-prone and manual effort of researching and aggregating data across thousands of PDFs, websites, and maps.\n\nMany developers find themselves poring over 1000-page documents, engaging expensive consultants, or focusing on a limited number of jurisdictions.\n\nThrough hundreds of conversations with developers, we consistently hear that navigating this \"complex patchwork of jurisdictions, where every state is a snowflake,\" is a major obstacle.\n\n**✨ Enter Spark**\n\nWith Spark, developers can identify requirements, risks, and incentives by leveraging our curated dataset. They can now screen prospective projects in seconds, not weeks.\n\nFor the first time, Large Language Models (LLMs) offer a dramatically simplified method to extract grid interconnection and permitting requirements, zoning ordinances, economics (rates, tax credits, RECs), and a range of unstructured information relevant to renewables development.\n\nBy refining the data specifically for this industry, Spark introduces a new way for developers to navigate through otherwise disparate and cumbersome information.\n\n![uploaded image](/media/?type=post&id=78596&key=user_uploads/295458/976413d4-584e-44fd-8c6e-315509d4c9de)\n\nThese insights are then precisely mapped to individual counties and parcels of land, accelerating the development process significantly.\n\nHowever, Spark’s capabilities extend beyond location diligence and requirement aggregation. Our goal is to re-imagine the development workflow, enabling developers to drastically reduce the time dedicated to mundane tasks such as research, documentation, and portfolio management.\n\n![uploaded image](/media/?type=post&id=78596&key=user_uploads/129719/550c9a08-294e-4944-9369-649919faca48)\n\nOne of our customers, an industry veteran with nearly 20 years of experience, said “I see this tool as my Jarvis.”\n\nOur mission is to empower developers to prioritize human interactions and make strategic decisions about where to invest millions of dollars to electrify the nation’s grid — not the manual, back office work.\n\n[🪄](mailto:founders@sparkhq.ai) **The (Dream) Team**\n\n[Tae](https://www.linkedin.com/in/taehnkim/) built software while sitting inside the Model 3 factory at Tesla, wrote payment systems that processed millions in EV sales as a founding engineer at Lucid Motors’ commerce team, and helped Gen Z find love at Tinder.\n\n[Julia](https://www.linkedin.com/in/wu-julia/) was an engineering manager on the team that automated fraud alerts and dispute filing at Brex. She also built search and cloud infrastructure at Apple and Microsoft and bankrolled her passion for crypto through hackathon prizes on nights and weekends.\n\nHailing from São Paulo, Brazil, where we lived ten minutes apart after our parents immigrated from Korea and China, we embarked on our American dream at 18 for undergraduate degrees in STEM at Georgia Tech and Brown University. Our paths crossed many years later in New York City, through a shared passion for software engineering, infrastructure for society, and startups.\n\n**⚡️ Energized yet?**\n\nAre you (or do you know) a developer of utility or community-scale solar/storage projects? [Book a demo](https://calendly.com/d/4qp-yyt-qxw/spark-demo) or reach out to [founders@sparkhq.ai!](mailto:founders@sparkhq.ai)",
        "url": "https://www.ycombinator.com/launches/KRg-spark-ai-powered-workflows-for-large-scale-clean-energy-development",
        "votes": 58,
        "created_at": "2024-02-21T16:41:20.744Z"
      },
      {
        "id": 77503,
        "title": "Dataherald - NL-to-SQL API for developers",
        "tagline": "Embed NL-to-SQL into your product",
        "body": "**TL;DR**\n\nDataherald enables you to embed Natural Language to SQL (“NL-to-SQL”) into your product. The NL-to-SQL API, built with an LLM (such as GPT), allows users to conduct no-code data analytics, pull reports, and conduct complex data queries using just natural language.\n\nHi, we’re [Amir](https://www.linkedin.com/in/amir-zohrenejad-72a517184/) and [Anuj](https://www.linkedin.com/in/anujsaigal/) from [Dataherald](https://www.dataherald.com/contact). There have been countless game-changing applications of AI, but one area that has remained uncharted is NL-to-SQL. But fear not - we’re changing that. We’ve built a cutting-edge NL-to-SQL engine, meticulously crafted to be the fastest and most accurate in the market, delivering an unmatched developer experience!\n\n**The Problem**\n\nDevelopers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box. LLMs do not:\n\n1. Utilize metadata and business definitions since they are not already stored in the relational database\n2. Conduct **complex** SQL queries, such as self joins, multiple sub-queries, or rarer operations like windowing, partitioning, lags, temporal calculations, etc.\n3. Create NL-to-SQL training dataset(s) for fine-tuned models\n4. Assess the accuracy of AI-generated SQL\n\n**The Solution**\n\nDataherald’s API solves these challenges by allowing developers to:\n\n* Add business context from various sources (data dictionaries, DBT, Confluence docs, Google docs, etc.)\n\n![](https://lh7-us.googleusercontent.com/kwye-PT4ors7WmWLdm5AjZN5oprn0XXX2v4i_PkCIYwRvilZ-fixK_9wJGHJo9PU1rjv99kBgEVCB1YX58DYO3HCeNoQlHqLcdURUilLhsYcdiDTVEVcd8DZCrt_1EeHYd-zkjWUukA6I8Ka8epVBCc)\n\n* Identify relevant data tables\n* Fine-tune NL-to-SQL LLMs **(including GPT-4!)** specific to their data\n* Assess confidence levels in AI-generated SQL\n\nAll this happens with a few simple API calls.\n\n![](https://lh7-us.googleusercontent.com/6LVhL2Hbyga7oQ7mGDNORds_IMhmA5oBbrjNjKl4Y3L3rECk4WozWzJQY8jS16X6j9ZGgW-5p1fVqt6flbiZfR138EpYhUmcH9btyJL1ky_y7EIlQ5lEQUYVVVzfzDkjlfDU88y_0mJwDRbMgXWug9M)\n\nDataherald’s NL-to-SQL API unlocks data access wherever needed:\n\n1. Enabling Complex Data Queries in SaaS Apps: For example a large payroll software company uses Dataherald to embed NL-to-SQL into their front end so that users can ask questions like “How much did I spend on full stack engineers in our European offices in Q2 2023 and how is that trending?”\n2. Democratizing Data Insights: Companies integrate our API into Slack, enabling self-serve data requests, and freeing up valuable time for data analysts.\n3. Automate Customer Support with Chatbots: Customer support teams dealing with data-heavy queries leverage Dataherald in chatbots, automating inquiries regarding user data.\n\n![](https://lh7-us.googleusercontent.com/rsI_mjIShLSNZBuwGtOKk8k8Fv0f8rUEjItn0w17y-_rps3jWcWNgvQ6C9Ly9EFxszG7jE3c5DLS_T9lcEiHwYD0Z1nvXNgHB3-qFRAOJM6XL6B0w19JQt_esYJm7qqp6Tg2U1Jh9QvHlWGdohmzUZ4)\n\n**The ASK**\n\n* **Start using today** - send me an email [anuj@dataherald.com](https://mailto:anuj@dataherald.com) to get your API key and start using it today!\n* **Share** - tell your colleagues and friends about [Dataherald](https://dataherald.com/)\n* **YC Companies** - skip the wait list and claim the [YC deal](https://bookface.ycombinator.com/deals/2135) \n* **Open-source engine** is available on [Github](https://github.com/Dataherald)",
        "url": "https://www.ycombinator.com/launches/KA3-dataherald-nl-to-sql-api-for-developers",
        "votes": 21,
        "created_at": "2024-01-15T22:29:20.249Z"
      },
      {
        "id": 73999,
        "title": "🚀 Dataherald - Query your structured database in natural language",
        "tagline": "Enable anyone to get answers to ad hoc data questions in seconds – no SQL needed",
        "body": "### The TL;DR\n\nRather than waiting hours or days, business users get answers to complex data questions in seconds – all in plain English. Dataherald’s AI-powered natural language to SQL agent gives you answers, fast. It’s like having a data analyst on standby 24/7.\n\n👋 Howdy! - we’re [Amir](https://www.linkedin.com/in/amir-zohrenejad-72a517184/) and [Anuj](https://www.linkedin.com/in/anujsaigal/); we’re building [Dataherald](https://dataherald.com/). We’re on a mission to enable anyone to get answers to their data questions immediately. No longer do you have to click through dozens of BI dashboards or “wait on the data team” to get the answers you need.\n\n### The Problem\n\nWith an ever-increasing volume of data, businesses have invested heavily in BI tools with the aim of providing answers to data questions. These tools often fail to handle complex data queries, leading to a backlog of **ad hoc questions** for the data team, inevitably creating a bottleneck.\n\n**The Data BI “Doom Loop” —** Dashboards inevitably fall short in answering certain data questions, leaving people waiting.\n\n![uploaded image](/media/?type=post&id=73999&key=user_uploads/307611/9c21d382-337a-4bcf-9d06-27be4cd90a5f)\n\n### The Solution\n\nBusiness users want answers to their data questions in the most natural way possible - by simply posing a question in plain language and receiving a response in the same natural language format.\n\nDataherald cuts through the noise, providing quick answers to complex data questions, all in plain English. Users Slack their queries to our bot and receive instant responses.\n\n![uploaded image](/media/?type=post&id=73999&key=user_uploads/307611/9daf452e-4d9e-44a3-b41b-6594bea0391d)\n\nOur natural language-to-SQL agent, supported by an LLM, comprehends questions, identifies relevant data tables, writes SQL queries, and assesses confidence levels in responses. If confidence is low, a member of your data team can review and modify the SQL. Best of all, Dataherald's algorithm continuously improves, delivering more accurate insights over time. Watch the product in action in the link below!\n\n![uploaded image](/media/?type=post&id=73999&key=user_uploads/307611/a55a7b9c-94dd-480d-a489-9393ba36c380)\n\n### \n\n### The ASK\n\n* Join our [**waitlist**](https://www.dataherald.com/contact) and we’ll get in touch ASAP\n* Check out Dataherald in action [**(video link)**](https://5892632.fs1.hubspotusercontent-na1.net/hubfs/5892632/Dataherald%20AI%20-%20Streamline%20your%20teams%20ad-hoc%20data%20questions.mp4)\n* Stay informed about our latest developments by following us on [LinkedIn](https://www.linkedin.com/company/dataherald) and [Medium](https://medium.com/dataherald). Our journey is just beginning!\n* Open-source engine is now available on [**Github**](https://github.com/Dataherald)",
        "url": "https://www.ycombinator.com/launches/JFX-dataherald-query-your-structured-database-in-natural-language",
        "votes": 57,
        "created_at": "2023-08-10T16:58:42.614Z"
      }
    ]
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        "id": 94363,
        "title": "CamelAI API: Ship \"Chat With Your Data\" in 5 Minutes",
        "tagline": "Give your users an AI-powered data analytics chat without building it yourself. We handle the complex stuff so you ship faster.",
        "body": "**The Problem**\n\nYour users want to chat with their data. Building this yourself means:\n\n* 3+ months of engineering time\n* Wrestling with SQL generation, context windows, and hallucinations\n* Maintaining AI infrastructure that isn't your core product\n* Constant updates as models evolve\n\nMeanwhile, your competitors are shipping AI features today.\n\n**Our Solution: CamelAI API**\n\nConnect your database. Embed our iframe. Ship in 5 minutes.\n\n```\nresponse = requests.post( 'https://api.camelai.com/api/v1/iframe/create', headers={'Authorization': 'Bearer token', 'Content-Type': 'application/json'})\n```\n\n_Your users get:_\n\n* Natural language to SQL that actually works\n* Interactive Plotly visualizations\n* Context that learns their business terminology\n* Easy-to-make dashboards\n\n![uploaded image](/media/?type=post&id=94363&key=user_uploads/1925222/4ab6ceae-6239-4deb-b592-7cc8beda11ff)\n\n![uploaded image](/media/?type=post&id=94363&key=user_uploads/1925222/cc044d1a-3a97-42d4-9bfe-299dbfe4b17b)\n\n_You get:_\n\n* Zero maintenance AI infrastructure\n* A beautiful chat embed\n* Full customization to match your brand\n* Works with Postgres, MySQL, Snowflake, BigQuery, ClickHouse, and more\n* Built in row-level security for multi-tenant architecture\n\n![uploaded image](/media/?type=post&id=94363&key=user_uploads/1925222/3255be73-e070-41be-b598-9283a3623374)\n\nWe process over 40,000 queries every month. On average, integrating camelAI’s embeddable API takes just 5 minutes. Since our Product Hunt launch in July 2025, camelAI is already live in production with 2 Fortune 500 companies and dozens of startups.\n\n**Who's Using This**\n\n* Vertical SaaS platforms tired of building custom dashboards for every customer\n* Data companies that need to offer self-serve analytics, but don’t want to invest a team of engineers\n* Enterprise teams replacing ticket queues with instant insights\n\n_Example:_ A transaction cleansing platform embedded CamelAI so their banking clients could explore their own data without filing support tickets. Integration took one afternoon.\n\n**Pricing**\n\nPro: $200/month + usage (includes $10 credits)\n\nEnterprise: Custom pricing, VPC deployment, dedicated support\n\n**Start Now**\n\nNo sales calls. No demos required. Try free today.\n\n1. Visit [camelai.com/api](https://camelai.com/api)\n2. Grab your API key\n3. Ship your AI feature today\n\nQuestions? Shoot us an email at: [founders@camelai.com](mailto:founders@camelai.com)",
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        "title": "camelAI — The First Deep Research Agent for Your Structured Data",
        "tagline": "Ask questions, get insights from your data.",
        "body": "Hi YC! We're [Illiana](https://www.linkedin.com/in/illiana-reed/), [Miguel](https://www.linkedin.com/in/miguel-salinas-b2781426/), and [Isabella](https://www.linkedin.com/in/isabellareed/), the team behind camelAI.\n\n# What We're Building\n\ncamelAI is the last BI tool you'll ever need. What AI has done for coding, camelAI is doing for analytics. We connect an LLM directly to your database, turning natural language questions into in depth reports complete with beautiful visualizations in seconds. No modeling, no drag-and-drop limitations, no tickets to the data team.\n\n<https://youtu.be/bBqdaNN-NpM>\n\n# The Problem: Text-to-SQL Has Failed\n\nLet's be honest: Text-to-SQL has been around for years. It's been done to death and it still leaves users frustrated. Instead of giving clear answers, Text-to-SQL makes users fight for insights:\n\n* Setup takes forever\n* Queries only work well for narrow, predictable questions\n* Results come as raw data tables, not analysis\n* Business users struggle to get actionable insights\n\nBusiness users don't want raw tables of data—they need clear insights. But text-to-SQL forces them to piece together answers manually, leaving them frustrated and no closer to a decision.\n\nThe real problem: Getting valuable insights out of your own data is still too hard and too time consuming.\n\nFor executives, founders, and product managers, this means:\n\n* Waiting days for simple data requests\n* Making decisions without complete information\n* Spending hours building and maintaining dashboards\n* Wasting precious engineering time for a \"quick data pull\"\n\nFor technical teams, it means:\n\n* Constant context-switching to answer basic data questions\n* Building one-off dashboards that are rarely used\n* Explaining the same metrics repeatedly\n\n## Our Solution: camelAI\n\nAsk camelAI anything - from basic KPIs to complex business metrics your team hasn't even thought to track:\n\n**Deep Research Agent:** Watch as our Agent writes SQL queries in real time, explores your data, and generates interactive visualizations that deliver immediate insights. Complete transparency at every step.\n\n**Learns Your Company:** camelAI learns your company's language through use. It remembers past queries and improves through your feedback, creating consistent company-specific analysis.\n\n**Instant Visualizations:** camelAI doesn't just dump query results; it automatically creates interactive Plotly visualizations with written analysis of what the data actually means.\n\n**One-Click Dashboards:** Any visualization can be saved to a dashboard that refreshes automatically. Create comprehensive dashboards in minutes, not hours.\n\n**Enterprise-Ready:** We support on-prem and VPC deployments across multiple databases.\n\n# The New Reality\n\nWithout camelAI:\n\n1. Adding tickets to sprints for basic data questions\n2. Waiting days for simple insights\n3. Engineers constantly pulled away from building products\n\nWith camelAI:\n\n1. Business teams get answers immediately\n2. Engineers focus on building products\n3. Founders make better decisions faster\n\n## Who Needs This Yesterday\n\n* **Founders** who can't afford to wait for data\n* **Product Teams** tracking metrics without a dedicated analyst\n* **CTOs** tired of being the bottleneck for data requests\n* **Junior Analysts** who want to focus on insights, not queries\n\n# Setup Takes 60 Seconds\n\n1. Connect your data source — pick from 10+ connections or upload a CSV\n2. Ask your first question\n3. Start making better decisions\n\n# 🐪 How We Got Here\n\n![uploaded image](/media/?type=post&id=76776&key=user_uploads/1925221/b319f130-c38f-4080-8e5c-8edf8d77e91d)\n\nWe've been shipping products together for three years. We're not data analysts, and that was the problem.\n\nOur organized data was right there, but we couldn't get to it without SQL expertise or wrestling with clunky BI tools that never quite answered our actual questions. So we built the tool we needed.\n\nOur insight was simple: stop writing SQL queries by hand. Let AI do what it's good at. Let humans ask natural questions and get answers they can use right away.\n\n## Try camelAI Today\n\nOur free tier gives you 10 messages per week: <https://camelai.com/>\n\nQuestions? We read every email: [illiana@camelai.com](mailto:illiana@camelai.com)\n\nLooking for: Teams tired of SQL bottlenecks who want to transform how they use data.",
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        "id": 113077,
        "title": "Commercial Counsel",
        "url": "https://www.ycombinator.com/companies/retell-ai/jobs/4qnrrKN-commercial-counsel",
        "location": "San Francisco Bay Area",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$230K - $270K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113081,
        "title": "Senior Deal Desk Manager",
        "url": "https://www.ycombinator.com/companies/retell-ai/jobs/uxL2bvX-senior-deal-desk-manager",
        "location": "San Francisco Bay Area",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$185K - $225K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113503,
        "title": "Outbound Talent Sourcer (Recruiting SDR)",
        "url": "https://www.ycombinator.com/companies/retell-ai/jobs/WyhQpEi-outbound-talent-sourcer-recruiting-sdr",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$2.15K - $4.25K / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114499,
        "title": "Compliance Manager (Contract)",
        "url": "https://www.ycombinator.com/companies/retell-ai/jobs/6pAolRp-compliance-manager-contract",
        "location": "San Francisco Bay Area / South Africa / Ukraine / Brazil / Argentina / Romania / Poland / Remote / Serbia / Philippines / Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$6K - $7.5K / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114959,
        "title": "Mandarin-speaking: Customer Success Engineer (Contract)",
        "url": "https://www.ycombinator.com/companies/retell-ai/jobs/lD4Rghj-mandarin-speaking-customer-success-engineer-contract",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $7.5K / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115219,
        "title": "Deployment Strategist",
        "url": "https://www.ycombinator.com/companies/retell-ai/jobs/AuCkr6s-deployment-strategist",
        "location": "San Francisco Bay Area",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$170K - $260K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116025,
        "title": "Senior IT Manager",
        "url": "https://www.ycombinator.com/companies/retell-ai/jobs/7w9HC1F-senior-it-manager",
        "location": "San Francisco Bay Area",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K - $250K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116449,
        "title": "Senior Billing Manager",
        "url": "https://www.ycombinator.com/companies/retell-ai/jobs/mLB7zaw-senior-billing-manager",
        "location": "San Francisco Bay Area",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$190K - $230K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116450,
        "title": "Accountant (Contract)",
        "url": "https://www.ycombinator.com/companies/retell-ai/jobs/OuGQo5v-accountant-contract",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
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        "experience": "Any (new grads ok)",
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    "news": [
      {
        "title": "Retell AI lets companies build 'voice agents' to answer phone calls | TechCrunch",
        "url": "https://techcrunch.com/2024/05/09/retell-ai-lets-companies-build-agents-to-answer-their-calls/",
        "date": "May 09, 2024"
      }
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    "launches": [
      {
        "id": 78084,
        "title": "🔥 Retell AI – API for building human-like conversational voice AI",
        "tagline": "We help developers implement human-like voice agents in a day instead of months. Plug in your LLM, a voice agent in born!",
        "body": "**Tl;dr:** You can now use our [API](https://docs.re-tell.ai/introduction) to build human-like voice AI agents with your LLM. We've achieved response times averaging 800ms, reaching the level of human interactions. (see our [demo](https://youtu.be/0LT64_mgkro) or call +1 (415) 831-7577 to try it out).\n\n### **Problem — Building human-like voice AI agents is hard**\n\n* **Human-like interaction is hard**: Building a voice AI agent that can talk seems easy (stitching together speech-to-text, LLM, and text-to-speech), but making it interact like humans is hard. In human conversation, one has to respond fast and handle all kinds of situations (handling interruptions, knowing when it's your turn to speak, etc).\n* **Long development time**: Developers building voice products spend hundreds of hours focusing on the voice conversation experience alone.\n* **Quality often falls short**: Current voice AI products often have long response latency (**\\>3s**), do not know when to appropriately speak (might interrupt you too much, or respond not quickly enough), and do not handle user interruptions well (AI and human talking over each other), and the list goes on.\n\n  ![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/f2832b96-ad0a-4a02-9f1a-8bd461f6dcf8)\n\n\n### **Solution — API for building human-like voice AI agents**\n\n* **Human-Like Conversations**: With our [API](https://docs.re-tell.ai/introduction), you can build a superior voice conversation experience with your LLM. We've achieved response times averaging 800ms, reaching the level of human interactions. We also handle interruptions and provide smart turn-taking determination to achieve seamless conversational exchanges.\n* **Connect your LLM easily**: Plug in your LLM and create a human-like voice agent easily.\n\n  ![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/12a8df9f-56f3-4387-a7aa-82727edcc5e4)\n\n* **WebSocket Support:** Connect directly with your users through your web frontend or via phone. You won't have to manage audio bytes – we'll handle that for you.\n\n  ![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/5d27fa59-5e8e-4887-b4b1-e8fdee9681a4)\n\n\n\n### **Who is this product meant for?**\n\nAnyone building a voice experience can benefit from using Retell AI. Whether you're developing **AI call agents, AI coaching apps, or AI lifelike companions**, we are your trusted ally in creating the best conversational experience for your users.\n\n### **How to get started?**\n\n* Try our live demo at <https://www.re-tell.ai/> (no signup needed)\n* Self-serve by registering an account\n* Explore our API Documentation at <https://docs.re-tell.ai/introduction>\n\n![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/a55072bd-520d-4f62-960a-1a064ec53256)\n\n### **Have questions?**\n\n* You can email us at [founders@re-tell.ai](mailto:founders@re-tell.ai)\n* Or schedule a meeting with us at <https://calendly.com/retell-ai/30min?back=1&month=2024-01>\n* We'll understand your use cases, guide you through our product, and help you quickly implement your voice AI use case.\n\n### **Our Ask:**\n\n* Give us a [try](https://www.re-tell.ai/)! We provide founder's support dedicated to helping you succeed. Please don't hesitate to schedule a meeting with us anytime!\n* If you know anyone who could benefit from Retell AI, we would appreciate a warm introduction. :)\n\n  ![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/39f54325-2b20-4e72-84d9-d89be3981d1f)\n\n\nWarm regards from the five-founders' team. (From left to right: [Todd](https://linkedin.com/in/zhengtaoli), [Weijia](https://linkedin.com/in/weijia-y-76b816194), [Zexia](https://linkedin.com/in/zexia-zhang-171480133), [Bing](https://linkedin.com/in/binw) & [Evie](https://www.linkedin.com/in/yanwang131415/))",
        "url": "https://www.ycombinator.com/launches/KJQ-retell-ai-api-for-building-human-like-conversational-voice-ai",
        "votes": 129,
        "created_at": "2024-02-02T01:51:47.994Z"
      }
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    "id": 29442,
    "name": "Ocular AI",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Applied AI Data Research Lab Encoding Human Expertise into Machines…",
    "team_size": 8,
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    "subindustry": "B2B",
    "launched_at": 1706216304,
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      "Speech Recognition",
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      "AI"
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    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Having worked at Microsoft and Google, we experienced first-hand how difficult it is to access and find information and perform actions across multiple Saas tools both in the workplace and engineering. We’ve interviewed numerous employees and engineers at Appian, Uber, Pinecone, Brex, Coda, Microsoft, Google among others and learned that as companies grow it gets harder to: 1\\. **Find what you need at work:** Company knowledge lives in multiple, isolated Saas applications and employees spend over a quarter of their workday looking for information, documents, apps, and people they need to do work or get permissions. 2\\. **Manage complex engineering tools:** As engineering teams scale and adopt microservices, they onboard multiple tools for documentation, development, release, monitoring and alerting. \\* Tools (such as CircleCI, DataDog, New Relic, etc) all live in different places which makes it very difficult to have a unified view of your techstack.\\* \\* \\* Critical data, metrics, logs, and dashboards are all in isolated platforms, complicating discovery, correlation, multitool workflow coordination, and usage—especially during incidents.Siloed tooling and data introduces operational tax to the life of employees and engineers, slowing down productivity, development cycles, and incident management."
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    "url": "https://www.ycombinator.com/companies/ocular-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/ocular-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/use-ocular",
    "x_url": "https://x.com/OcularHQ",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/ocular-ai",
    "github_url": "https://github.com/OcularEngineering",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d1b75bdedcefb73d59cc0a2f122bdc71abfcc6e.png",
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    "primary_partner": null,
    "founders": [
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        "full_name": "Michael Moyo",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Co–Founder of Ocular AI. Computer and Biomedical Engineer.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/michaelmoyo",
        "x_url": "https://twitter.com/SonofMushabati",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6959040840b8fd81769bb3f59506b26293892c8a.jpg"
      },
      {
        "user_id": 1313975,
        "full_name": "Louis Murerwa",
        "title": "Founder",
        "founder_bio": "Louis is the Co-founder and CTO of Ocular AI. He is from Zimbabwe and studied Computer Science at Dartmouth College. Previously Louis worked at Google NYC as a Software Engineer where he built Distributed Architecture that powers Google Cloud. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/louismurerwa/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ae4ac166c25ea521a78371102958f1076540542.jpg"
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    ],
    "jobs": [
      {
        "id": 71525,
        "title": "Member of Technical Staff, Founding Backend Engineer",
        "url": "https://www.ycombinator.com/companies/ocular-ai/jobs/BFBHWQd-member-of-technical-staff-founding-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Python",
          "React",
          "Torch/PyTorch"
        ]
      },
      {
        "id": 71623,
        "title": "Member of Technical Staff, Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/ocular-ai/jobs/GWPuqvr-member-of-technical-staff-founding-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$130K - $200K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 71633,
        "title": "Member of Technical Staff, Founding Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/ocular-ai/jobs/Cjr9AlQ-member-of-technical-staff-founding-frontend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$130K - $200K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "React",
          "TypeScript",
          "Computer Vision",
          "Figma",
          "Next.js"
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      },
      {
        "id": 73015,
        "title": "Member of Technical Staff, Founding Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/ocular-ai/jobs/9UVGCDr-member-of-technical-staff-founding-machine-learning-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$130K - $200K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "TensorFlow",
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    ],
    "news": [],
    "launches": [
      {
        "id": 79032,
        "title": "Ocular AI - Bringing enterprise search, gen AI, and actions to the workplace",
        "tagline": "Ocular AI lets teams within organizations search, visualize, and perform critical cross tool actions all on one unified platform.",
        "body": "We’re [Michael](https://www.linkedin.com/in/michaelmoyo/) and [Louis](https://www.linkedin.com/in/louismurerwa/) and are excited to officially launch [Ocular AI](https://www.useocular.com/)!\n\nBook demos [here.](https://calendly.com/use-ocular/30min?month=2024-03#utm_source=launchyc&utm_medium=Launch+YC+Blog+Post&utm_campaign=launch&utm_id=launchyc&utm_content=launch+yc)\n\n**💡 Tl;Dr:**\n\n[**Ocular AI** ](https://www.linkedin.com/company/use-ocular)makes it easy for employees in mid-market and enterprise companies to find information and perform cross-tool actions using Generative AI-powered Search. We do this by providing a beautiful Google-like interface and a co-pilot that connects to all your company apps and tools. \n\n[ ](https://youtu.be/gAHGlKwBQJg)\n\n**❌ Problem**\n\nHaving worked at Google and Microsoft, we experienced first-hand how difficult it is to access and find information and perform actions across multiple SaaS tools both in the workplace and in engineering. Through our experience and conversations with people at Appian, Boeing, General Electric, Uber, Pinecone, Brex, Coda, Unity, Microsoft, and Google, we learned that as companies grow it gets very challenging to:\n\n1. **Find what you need at work:** Company knowledge lives in multiple, isolated SaaS applications, and employees spend over a quarter of their workday looking for information (think of documentation, past slack threads, etc), finding the people needed to complete tasks, and getting the required permissions.\n2. **Manage complex engineering tools:** As engineering teams scale and adopt microservices, they onboard multiple tools for documentation, development, release, monitoring, and alerting. Critical data, metrics, logs, and dashboards are all in isolated platforms such as CircleCI, DataDog, and New Relic and this makes it very difficult to have a unified view of company data, correlation data across these tools, and complete multitool workflow coordination - especially during incidents.\n\n \n\nSiloed tooling and data introduce an operational tax to the lives of employees like engineers, slowing down productivity, development cycles, and incident management. Workers spend an average of a quarter of their day searching for information. \n\nAll of this time can be used to write more code, do more deals, and talk to customers. With the rise of AI and Copilots, the value of the time spent on doing actual work has never been so high.\n\n**🚀🚀🚀 Our Solution**\n\n🔎 **Enterprise Search for everyone in your company:** Integrate all of your company’s applications, tooling, and data sources to power organizational and team-level search. Organization members only see the information they have access to based on their roles.\n\n![uploaded image](/media/?type=post&id=79032&key=user_uploads/928098/2acb388c-05d6-4ccc-bbb7-60a0a979fbf0)\n\n\\\n🤖 **Ocular Copilot- your work assistant that knows everything about your company:** Power cross-tool workflows and actions using our generative AI-powered Ocular Copilot. Create workspaces, upload files (structured or unstructured), create collections, and build usage-specific assistants for your day-to-day tasks. \n\n![uploaded image](/media/?type=post&id=79032&key=user_uploads/928098/71f00356-86e2-46b0-b8f9-8f2521f83b09)\n\n**App MarketPlace:** Integrate the tools (Notion, Jira, Google Drive, Slack) you already love and use for your day-to-day tasks.\n\n![uploaded image](/media/?type=post&id=79032&key=user_uploads/928098/b72de7e6-e224-4695-9eac-f934add88a6f)\n\n**Admin Portal:** \n\nOcular AI provides search-driven insights such as trending searches, number of searches, etc., which allows execs and managers to understand their organizations better. With Ocular, you can now see which applications are used the most and which ones are underutilized, allowing organizations to make reliable SaaS spend decisions. In addition, add members, teams, and applications to your Ocular instance.\n\n[ ](https://youtu.be/9Y9ex6e_vqE)\n\n## **📈 Maximizing Generative AI ROI for Enterprise**\n\nEnterprises are eager to adopt Generative AI in the workplace to enhance operational efficiencies. We’re partnering with organizations to implement secure, compliant, and company-specific Generative AI.\n\n**🔐 Enterprise security**\n\nComing from Microsoft and Google, we understand the importance of data privacy and security. For that reason, you can self-host Ocular AI on-premise or on bring your own cloud (BYOC), so all your data stays within your control- we don’t have access to it. Ocular AI is also getting SOC2 compliant and enforcing end-to-end data encryption AES 256. We’ll also be adding more security layers to ensure your data is 100% safe.\n\n**💯 The Team**\n\n[Dartmouth College](https://home.dartmouth.edu/) graduates with software engineering experience building large-scale and compliant applications at Google and Microsoft.\n\n![uploaded image](/media/?type=post&id=79032&key=user_uploads/928098/63025954-cc5d-4297-90fc-57ea63c5491f)\n\n**🫡 Our Ask**\n\nPlease introduce us to managers, CEOs, CIOs, and CTOs. We can help unify their tools and data together to make their teams more efficient. \n\nSchedule a demo at [www.useocular.com](https://www.useocular.com#utm_source=launchyc&utm_medium=Launch+YC+Blog+Post&utm_campaign=launch&utm_id=launchyc&utm_content=launch+yc) or [here.](https://calendly.com/use-ocular/30min?month=2024-03#utm_source=launchyc&utm_medium=Launch+YC+Blog+Post&utm_campaign=launch&utm_id=launchyc&utm_content=launch+yc)\n\nJump on the [waitlist!](https://form.asana.com/?k=kIT2oNFOWol6_RptDc_vpQ&d=1206400736295884) 🚀\n\nReach us at [founder@useocular.com](mailto:founder@useocular.com)! ✉️",
        "url": "https://www.ycombinator.com/launches/KYi-ocular-ai-bringing-enterprise-search-gen-ai-and-actions-to-the-workplace",
        "votes": 58,
        "created_at": "2024-03-04T20:04:01.162Z"
      }
    ]
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    "id": 29449,
    "name": "Fileforge",
    "slug": "fileforge",
    "former_names": [
      "CodeMuse",
      "Onedoc"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a97af94f2a8e762d28add9f85502c5647837362.png",
    "website": "https://www.fileforge.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Fileforge is an API for PDF document workflows. \r\n\r\nWith Fileforge, you can generate, manipulate, host, share, sign and track your documents - all in on place. Our open-source library helps developers build complex documents that integrate with our API and external services to build document-centric workflows.",
    "one_liner": "API For PDF Document Workflows",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1702309637,
    "tags": [
      "Documents",
      "Developer Tools",
      "B2B",
      "API"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/fileforge",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/fileforge.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fileforge/",
    "x_url": "https://twitter.com/fileforgelabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/OnedocLabs/",
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        "full_name": "Pierre Dorge",
        "title": "Founder",
        "founder_bio": "Formerly at the helm of Lleed & Partners, a digital consulting firm specialised in commodities trading, I am now building Fileforge. Coding since high school and with a solid academical background in computer science from ETH Zürich and EPFL, I love building and solving complexe challenges. Besides coding and building businesses, I enjoy training Muay Thai and playing the classical guitar in my free time.",
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        "full_name": "Auguste Lefevre",
        "title": "Founder",
        "founder_bio": "Co-founder at Fileforge. Background in Computer Science from ETH Zurich and Quantitative Finance as PhD (dropout) from the National University of Singapore. Interested in tech, finance and history.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/augustelefevre/",
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      {
        "id": 78258,
        "title": "Onedoc — Making it easy for developers to generate beautiful PDFs",
        "tagline": "Stop spending hours making ugly documents, and start creating a dynamic experience now!",
        "body": "**_tl;dr_** Onedoc makes it easy for developers to generate beautiful PDFs. It is a comprehensive solution with:\n\n1. An [open-source library](https://github.com/OnedocLabs/react-print) to design your documents\n2. A simple [API](https://docs.onedoclabs.com/introduction) to generate your documents\n3. A [cloud platform](https://app.onedoclabs.com/login) to host and track your documents\n\n![uploaded image](/media/?type=post&id=78258&key=user_uploads/959469/55ac7687-e4a4-4456-97a2-ff6348953e3b)\n\n> Using Onedoc to quickly generate dynamic PDFs\n\n👋 Hi! We are [Auguste](https://www.linkedin.com/in/augustelefevre/), [Pierre,](https://linkedin.com/in/pierre-dorge-3372bb16a) and [Titouan](https://www.linkedin.com/in/titouan-launay/?locale=en_US) and we’re building [Onedoc](https://www.onedoclabs.com/).\n\n## Why do documents feel so outdated?\n\nBillions of PDFs are generated daily: invoices, contracts, receipts, tickets,… yet there are no toolkits to allow companies to easily build them. Developers need to get their hands dirty to produce basic documents - let alone beautiful ones. This makes PDFs hard to dynamize and maintain, leading to poor brand experience and flawed analytics.\n\n## What does Onedoc bring to the table?\n\nOnedoc bridges the gap between developers and documents. We make modern web technologies work for PDF generation: React, Tailwind, … In turn, developers can make highly dynamic documents and iterate quickly. **What used to take hours now takes seconds with our API.**\n\nTo make it even faster, we maintain an [open-source library](https://github.com/onedoclabs/react-print) of beautiful components and we offer a hosting and tracking service to better understand your documents.\n\n## What brought us here\n\nWe previously worked with giant firms, where documents were central to most workflows. They would get passed around, get into client’s hands, and everyone would complain about their layout and lack of proper information. While at a large mining company, clients would want to see shipping information and product details on their invoices. However, the development team wouldn’t be able to update these documents because the task was too complex and expensive.\n\n## Interested in generating beautiful documents today?\n\n* **Try it now,** and give us feedback!\n* **Social:** Join us on [Discord](https://discord.com/invite/uRJE6e2rgr) or send us a tweet at [@Onedoclabs](https://twitter.com/OnedocLabs) and we will get you set up in no time.\n* **Open-source:** Support our open-source library on [Github](https://github.com/OnedocLabs/react-print) by contributing and starring the repo.\n* **YC Deal:** Enjoy our YC Deal and get 1,000 monthly documents on us (x10), we also redesign your existing documents with our UI experts - get in touch at [yc@onedoclabs.com](mailto:yc@onedoclabs.com).",
        "url": "https://www.ycombinator.com/launches/KME-onedoc-making-it-easy-for-developers-to-generate-beautiful-pdfs",
        "votes": 114,
        "created_at": "2024-02-07T22:14:22.044Z"
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    "long_description": "Basepilot helps insurers, TPAs and MGAs streamline claims operations with line-of-business-specific AI agents. Companies like Old Republic International, Zurich & others use Basepilot to make claims operations more efficient, less costly and more intelligent.\r\n\r\nBasepilot is founded by Ken Hendricks and Pascal Wieler.\r\n\r\nInterested to try it out? Get started here: https://www.basepilot.com/ ",
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    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1704381024,
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/basepilot/",
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        "full_name": "Ken Hendricks",
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        "founder_bio": "I’m Ken, co-founder and CEO of Basepilot. We build AI coworkers that collaborate with humans to automate work. \n\nPrior to Basepilot, I led product at a B2B fintech startup and grew it to 3M users in <12 months, with customers like Visa and Bank of America. Before that, I built a computer vision startup out of university that reached $250K ARR with partnerships like Deloitte, KPMG, EY and BMW. \n\nBorn in Mumbai, brought up in New Zealand, before moving to SF. Studied Mechatronics eng.",
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        "full_name": "Pascal Wieler",
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        "founder_bio": "Hi! I'm Pascal, Co-founder of Basepilot. I grew up in Germany.\n\nPassionate about AI agents, robotics & outdoor sports 🤖🚵. Studied CS MSc. @CMU MLD & KIT. Previously, I co-founded a robotics startup, did research in robotic manipulation & imitation learning at Carnegie Mellon, and worked on self-driving cars at Mercedes-Benz. Excited to be a part of YC, let's chat!",
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        "title": "Startups building AI assistants pop in latest YC batch",
        "url": "https://www.bizjournals.com/sanfrancisco/inno/stories/news/2024/04/04/ai-assistants-y-combinator-demo-day.html",
        "date": "Apr 04, 2024"
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        "title": "🚀 Basepilot: Your AI employee to automate repetitive browser work in minutes",
        "tagline": "Saving businesses time and resources by automating back-office work across your browser, such as filling out forms, entering information into a CRM, & much more.",
        "body": "Hey everyone! We’re [**Pascal**](https://www.linkedin.com/in/pascal-wieler/) and [**Ken**](https://www.linkedin.com/in/ken-hendricks-96181611a/), here to introduce you to [**Basepilot**](https://www.basepilot.com/).\n\n# **TL;DR:**\n\nBasepilot creates AI assistants to automate repetitive and manual work across a browser. We help companies save 30% of their time weekly and cut costs, freeing up resources for more high-value tasks. For example, finance, recruitment, or sales teams can automate mundane back-office tasks within a few clicks and a quick demonstration.\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/08fef875-2fb5-427c-a017-7cf356bd6ed7)\n\n# **Where Basepilot can help you:**\n\n* **Sales** - To help automate sales outreach, prospecting, and follow-ups.\n* **Recruitment** - To help with sourcing candidates and clients, and analyzing and triaging profiles.\n* **Finance** - To help fill in applications/forms, transfer data, do accounting ops, and update customer details.\n* & any other manual task across your browser!\n\n# **Problem - 30% of a business’s total time and resources is wasted on mundane repetitive work**\n\nCurrently, businesses employ teams of knowledge workers (in sales, ops, recruitment, finance, and more) that face a lot of manual and repetitive processes that slow them down. Although critical to get done, these tasks take hours away from doing more high-value work leading to frustration and lower output among teams.\n\n**For a business, this results in:**\n\n* 30% of their team’s time wasted on mindless tasks\n* Wasted resources spent on hiring more people to handle the workload\n* Increased error rates through manual boring work\n\nFor example, a recruitment firm spends 8+ hours/week per recruiter on repetitive admin work to source candidates, analyze applications and enter data, instead of talking to candidates!\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/e1bb23d2-968a-4748-be21-d45be443f4f1)\n\n**Existing solutions suck!**\n\n* Off-the-shelf tools often don’t work as workflows are very specific to a company.\n* Automating processes with tools like UI Path is extremely expensive, requires specialist automation engineers and takes several weeks or months to set up.\n\n# **Solution - Automate repetitive tasks in minutes**\n\nBasepilot makes it super easy for a business to build and train their own AI employees, enabling anyone in the company to automate their mundane and repetitive work, freeing up time for more high-value tasks.\n\n<https://www.youtube.com/watch?v=TxvHeF--NU4>\n\nWe designed Basepilot with these core principles in mind:\n\n* **Works where you work:** Basepilot works across the tools you already use right in your browser as a Chrome extension. No need to adopt new tools or change your workflows.\n* **Teach it like a human:** There’s no need to get technical or hire an expensive automation team, simply train your new assistant to complete work, just like you’d teach a human: by showing and telling.\n* **Faster ROI (at lower cost):** Automate workflows in minutes, not weeks or months. Unlike traditional automation tools, Basepilot can get set up and operational in a fraction of the time & cost.\n* **Keep control:** Basepilot operates in your tabs, allowing you to check in and see what’s happening in real-time while you focus on more high-value work, e.g. engaging in customer conversations while Basepilot sources new leads in the background.\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/ce3bce79-8335-4901-9c9d-b6cd949a410b)\n\n# **Meet Ken & Pascal 🇳🇿🇩🇪➡️🇺🇸**\n\n[**Pascal**](https://www.linkedin.com/in/pascal-wieler/) & [**Ken**](https://www.linkedin.com/in/ken-hendricks-96181611a/) both independently traveled to San Francisco in the summer of 2023 (from Germany & New Zealand respectively). We came here without knowing each other to explore the startup space and build the future 💪🏼🔨🚀. While in SF, we met through common friends, vibed well, and started working together. We moved across the world to work together in Europe, and got into YC - which brought us back to the city! Super grateful to be back! ❤️😍\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/58e95fa6-361d-4a33-8ddb-a2a1fedf1e26)\n\nWe were inspired by the new wave of AI capabilities and are passionate about unlocking more human creativity by automating away the processes we all absolutely despise!\n\n## **👋 Ask: How you can help**\n\n* Reach out if you have a mundane workflow that you’d wish to be automated! [**Email us here**](mailto:founders@basepilot.com) or if you have 10 minutes to chat, please book a time with us [**here**](https://calendar.app.google/GKNVb1A5DKcQ9qjV9).\n* Connect us to companies that employ large teams to do repetitive back-office tasks in your network (e.g. logistics, insurance, construction, etc.). [**Click here**](mailto:founders@basepilot.com).\n* Follow us on [**LinkedIn**](https://www.linkedin.com/company/basepilot) and [**Twitter/X**](https://twitter.com/basepilot) and join our [**Discord**](https://discord.gg/kdJGwfdJhG).\n\nBasepilot is currently in private beta, working closely with early customers. Email us to schedule a demo at [**founders@basepilot.com**](mailto:founders@basepilot.com) or book a time in our [**calendar**](https://calendar.app.google/GKNVb1A5DKcQ9qjV9). Looking forward to hearing from you!\n\nFor more details, visit [basepilot.com](https://www.basepilot.com/).",
        "url": "https://www.ycombinator.com/launches/KcS-basepilot-your-ai-employee-to-automate-repetitive-browser-work-in-minutes",
        "votes": 133,
        "created_at": "2024-03-11T17:25:32.460Z"
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    "id": 29454,
    "name": "Veles",
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    "long_description": "You closed your first few deals on handshakes and Stripe links. Now a customer wants a ramp-up, custom terms, or annual billing — and suddenly you're duct-taping spreadsheets to your CRM.\r\n\r\nMost CPQ tools are built for 500-person sales orgs with a dedicated RevOps team. Veles is built for you. AI agents handle quoting, approvals, and deal docs end-to-end so you can run a real sales motion without hiring a deal desk.\r\n\r\nIt's free for founders just getting started, and pricing scales with the number of active contracts you manage — so we only grow when you do. No CRM consultant, no six-month rollout. Just connect Salesforce or HubSpot and start closing.",
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    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1708716871,
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        "user_id": 1627533,
        "full_name": "Simon Ooley",
        "title": "Founder/CEO",
        "founder_bio": "Simon is co-founder & CEO of Veles. Prior to founding Veles, Simon held multiple sales and sales leadership positions. Most recently at Procore Technologies (PCOR), Buildr CRM, and SINAI Technologies. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/simonooley",
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      {
        "user_id": 1628923,
        "full_name": "Patrick Koperwas",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Veles. Early employee at Procore & Tegus. Degree in Machine Learning and Applied Statistics UCSB.",
        "is_active": true,
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      {
        "id": 78691,
        "title": "🚀 Veles - Your copilot for enterprise sales",
        "tagline": "Unlock enterprise deals effortlessly with Veles",
        "body": "**TL;DR:** [Veles](http://www.getveles.com/) is your copilot for enterprise sales - equip your sales team with an AI-powered quoting tool. Integrated seamlessly with your CRM, CPQ, and BI platforms - give reps a tool they will actually love, and leadership the actionable insights they need to move the needle. \n\n![](https://lh7-us.googleusercontent.com/Bh9JayL-j7HRnGvGS5DUl0AG8mL-BTK-qt0QCls2Kj2pC0d6sGPY2ltJYBjgN01MwyVrIGV4g9CyqlWXgMeYylwLaTQsVc_Wja-SoVpfb0a2crLi1EdLlM_NQsI3e4gUB64CQiE2h79dcr4zlmZUV8g)\n\n\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n**🤯 The Problem**\n\nPricing enterprise sales deals is a headache. Fragmented processes and tools result in subpar terms and lost opportunities. Many teams resort to complex Google Sheets, Slides/PPTs, manual CRM entries, and email chains just to handle pricing.\n\n❌ Missed Quota: On average 60% of sales reps hit quota due to fragmented tooling, inconsistent processes, and lack of transparency.\n\n❌ Slow Ramp: Onboarding new sales reps takes 5 - 7 months due to poorly documented pricing strategies and variations across companies.\n\n❌ Little Collaboration: Leadership lacks scalable insight into sales negotiations, hindering optimization and guidance for sales reps.\n\n❌ No Knowledge Share: Top performers' insights are trapped, preventing learning and team-wide improvement.\n\n**⚡️ The Solution**\n\nIntroducing Veles - the enterprise sales co-pilot, designed to enhance negotiation skills, minimize discounting, and land larger deals with confidence. Veles offers an easy-to-use calculator, benchmarks for comparing deals against those of peers, and clear guidance on deal desk rules, ensuring accurate pricing and standard terms. \n\nStreamline collaboration with management and equip sales reps with the necessary insights to navigate the quoting and negotiation process effectively, eliminating the reliance on outdated methods (like Google Sheets) and driving sales success through informed decision-making.\n\n**Key Features:**\n\n✅ **SaaS Pricing Calculator:** Easily standardize pricing and track sales rep behavior in one intuitive platform.\n\n✅ **Standard Deal Definition:** Define sales strategies and terms to expedite onboarding and maintain negotiation consistency.\n\n✅ **Performance Analytics:** Gain insights into sales rep behaviors that lead to closed-won deals through comprehensive deal scoring.\n\n✅ **Alignment & Optimization:** Foster team alignment by sharing negotiations and strategies for successful negotiation calls.\n\n**👀 HOW DOES IT WORK?**\n\n[Veles: A Copilot for Enterprise Sales - Watch \\~2 min Video](https://www.loom.com/share/5ed62a735cd04031a79062374185e6cf)\n\n![](https://cdn.loom.com/sessions/thumbnails/5ed62a735cd04031a79062374185e6cf-with-play.gif)\n\nOur Ask:\n\n* Help us spread the word! Share this post and support us.\n* [Book a demo with us here](https://calendly.com/simon-veles/veles-product-discussion) or email us at [founders@getveles.com](mailto:founders@getveles.com). \n* A quick blurb to copy & paste: \"Check out Veles! They’re going through the current Y Combinator batch. Veles streamlines enterprise pricing and negotiations to provide the insights needed to close bigger deals, faster.\"\n\nWe are [Simon](https://www.linkedin.com/in/simonooley/) and [Patrick](https://www.linkedin.com/in/patkoperwas/), and we're on a mission to make every rep a top performer.",
        "url": "https://www.ycombinator.com/launches/KTD-veles-your-copilot-for-enterprise-sales",
        "votes": 179,
        "created_at": "2024-02-23T19:34:52.556Z"
      }
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  },
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    "id": 29455,
    "name": "CommodityAI",
    "slug": "commodityai",
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    "website": "https://commodityai.io/",
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        "id": 79344,
        "title": "CommodityAI — The shipment management platform for commodity traders",
        "tagline": "Meet CommodityAI, the easiest way for commodity traders to manage shipments",
        "body": "Hi everyone! We’re [Philip](https://linkedin.com/in/philipkoenig), [Kyle](https://linkedin.com/in/kyle-manuel-franz-7a4351a8), and [Daniel](https://www.linkedin.com/in/dcervoni/) from [CommodityAI](https://commodityai.io/). We are building a platform for commodity traders to manage their shipments.\n\n**tl;dr** CommodityAI makes it easy for commodity trading companies to manage their shipments. One of the largest sugar traders uses our product to classify over a million documents, extract relevant fields from them, and organize them by shipment. They also use us to execute shipment-related workflows, like sending shipment status updates and generating vessel nominations.\n\n# **The Problem**\n\nShipping commodities requires a company to manage \\~200 processes and over 50 documents. Now imagine you're managing thousands of shipments a month, and tens of thousands in a year. As a result, a trading company’s workforce spends \\~70% of their day on admin and 40% of operating costs are allocated to labor. Almost all of our customer calls have had one thing in common: the trader or operations person can recall a time in the past 6 months when a document or process error resulted in the firm losing hundreds of thousands of dollars.\n\nThese processes also differ between customers. In other words, no 2 customers run their commodity trading operations the exact same way. This makes it difficult to build a one-size-fits-all solution without being intimately familiar with the space and the nuances of these shipments.\n\n# **The Solution**\n\nWe’ve built AI, automation, and collaborative tools built specifically for commodities trading. Our customers use CommodityAI to manage thousands of shipments and process millions of shipment-related documents. This includes classifying them, extracting relevant fields, and organizing them. They also use our platform to automate a series of time-consuming, related tasks that they do in their day-to-day, such as tracking vessels, generating vessel nominations, and sending real-time updates to their counterparty.\n\n**Document Processing Workflow: Classify, Extract data, create shipment**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/47492cb6-5514-42b8-97ea-03ad19cad07e)\n\n**Track and Send Shipment Status Updates**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/524a9171-3d63-42a0-8a14-d5360ecda593)\n\nOur goal is to ultimately take the number of manual processes within a commodities shipment down to 0, transforming the way commodity trading companies manage their operations.\n\n# **Ask**\n\nWe know there aren’t too many commodity trading companies probably checking YC every day, but we do know many founders worked as traders or know traders from previous work experience! We’d be extremely grateful for any introductions to potential customers or investors =).",
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        "founder_bio": "Hacking on things since middle school. Went to Waterloo CS, interned at Google, then dove into AI research on multi-modal RL and training browser-use agents. Went through YC W24, pivoted a few times, and landed on Datacurve – now providing the data infrastructure for frontier LLMs.",
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        "id": 79129,
        "title": "Datacurve - High quality code data to train foundation models",
        "tagline": "Providing code data by the best engineers, so you can build the most capable model",
        "body": "Hi! We’re [Serena Ge](https://linkedin.com/in/serena-ge-4583731b4) and [Charley Lee](https://linkedin.com/in/charley-lee) from [Datacurve](https://datacurve.ai/)!\n\nDatacurve provides expert quality code data at scale from highly skilled software engineers.\n\n* **Generative AI dev-tool startups** use custom data for models to optimize for tasks such as code editing, design to code, PR generation, etc.\n* **Foundation model** **labs** need expert data to improve general model coding capabilities like code debugging, code completion, code explanation, and others.\n\n### **The Problem – Why getting high-quality code data is _so hard_**\n\nFrom our experience training models, we believe the biggest bottleneck of progressing vertical LLM capabilities is the lack of curated, high-quality training data.\n\nAcquiring this high-quality data is difficult because:\n\n1. **Consistent, high-quality code data cannot be synthetically generated or scraped**. Tasks are often too challenging or specific for even the most capable models, and even a few incorrect samples can noticeably worsen the final training results.\n2. **Hiring human annotators is tricky**. Manual data labeling en masse tends towards low-skill gig work; it’s difficult to hire and retain highly competent engineers as annotators.\n\n### **The Solution**\n\nWe solve the data problem with our gamified annotation platform that attracts the best engineers to come and solve fun coding problems. We have already brought on top competitive programmers, as well as highly competent engineers who have worked at companies like Amazon and AMD.\n\nIn general, we get great engineers who **1) already have good careers**, and **2) already enjoy doing programming challenges outside of work**. Our gamified platform pays them for solving problems, which they already do for fun.\n\n![uploaded image](/media/?type=post&id=79129&key=user_uploads/620797/f311b3ee-119f-4564-9ebb-f3e9342d2781)\n\nData for **AI dev-tool startups** to train use-case specific models:\n\n* UI design to React components generation\n* Framework-specific optimized code generation\n* Repository-wide automatic PRs from GitHub issues\n* Intelligent coding copilot integrated IDEs. Data for code completion and debugging\n\nFor **foundation model labs**, the kinds of data our platform creates are:\n\n* Refactoring code for readability\n* Improving code for performance\n* Code generation for difficult problems or new features\n* Debugging runtime errors\n* Code walkthrough and explanation\n\n### **Our Team’s story **[**🧗‍♀️**](https://emojipedia.org/woman-climbing)** → 👨‍💻 → 👴 →**[**📊**](https://emojipedia.org/bar-chart)\n\nIn high school, I built a climbing training app with World Cup climbers, used by 3700 athletes from over 17 countries. Using the app I made myself, I qualified for Nationals twice!\n\nThis building experience was so amazing that it made me decide to study CS at UWaterloo, where I kept bumping into [Charley Lee](https://linkedin.com/in/charley-lee) in AI reading groups and advanced CS classes. So we started building together:\n\nWhile Charley interned at Google, we made a planning tool called UncleGPT that reached 930 users who created 1.3k projects and sent 5.5k messages on our platform.\n\nI interned at Cohere, where I trained models to improve reasoning capabilities through solving algorithms and gameplay.\n\nWe’re 19 now and building Datacurve.\n\n![](https://media.discordapp.net/attachments/1015470040755208252/1214702964816617544/IMG_1056.png?ex=65fa134a&is=65e79e4a&hm=b953fe679d9e73169fd4de1755f0354dc17365f7faf8178c05771fc866bebcbd&)\n\n### **Our Ask**\n\n* If you need **custom data** for your application (e.g., code editing, design to code, etc.), we should talk!\n* If you can introduce us to more foundation model labs, that would be amazing. Feel free to email me at [serena@datacurve.ai](mailto:serena@datacurve.ai)!\n\n  Thanks for supporting us!",
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        "title": "Ryse: The secondary market for real estate leases",
        "tagline": "Ryse enables the trading of $1.5T in leases between banks/asset managers and real estate operators",
        "body": "Hello everyone! We’re [Harsh](https://www.linkedin.com/in/yadav-harsh/), [Sean](https://www.linkedin.com/in/seanfmitchell/), [Tom](https://www.linkedin.com/in/thomasleonardsmith/) and [Seva](https://www.linkedin.com/in/seva-levitski-4107053/). We’re building Ryse: the secondary market for real estate leases.\n\nSee it here: [Ryse | Innovative Growth Capital For Modern Real Estate Operators (rysemarket.com)](https://www.rysemarket.com/)\n\n**_TL;DR_**\\\nRyse _is the only marketplace where investors who want to buy leases can trade with real estate operators who want to sell leases._\n\n**The Problem**\\\nFinancial institutions like banks, asset managers and insurance companies want to invest directly into the $1.5T in real estate leases originated in the US each year, but they can’t.  Why?\n\n* There's no marketplace for buyers and sellers to meet\n* There's no access to or standardization of the data required to underwrite opportunities\n* There's no existing infrastructure to support trading, reporting, or payment processing\n\n**The Solution**\\\nRyse is the first marketplace where lease buyers and sellers can transact seamlessly. We're building a marketplace where:\n\n* Buyers have access to underwriting data sourced directly from custom API integrations with Sellers\n* We standardize that data into a format that makes it easy to understand and compare to other investments (loans, bonds, t-bills, etc.)\n* We automate trade execution, reporting, and payment processing\n* We enable real estate experience providers to innovate and scale without balance sheet risk.\n\n**See Who Our Customers Are:**\n\n![](https://lh7-us.googleusercontent.com/BZE6zMCgR0w_OqsVfyOkTsSPdlM6_QTiZhPdSUfJH9CxogpJusXtp6p-IweULkz7rnvuJ-5ttOEnn3D_D5TQhIq7w1vCtXCSXxUBR7r4ie8MD0orOyNRYqBj6UTuaEYEIcujpPkGVRLjgIRFye59xF8)\n\n**User Experience**\\\nSee how our customers interact with Ryse:\n\n* Buyers:\n\n  ![uploaded image](/media/?type=post&id=79735&key=user_uploads/166772/de468896-0660-4dd1-a091-1ccce3044664)\n\n  ![uploaded image](/media/?type=post&id=79735&key=user_uploads/166772/40bff86c-434f-4c2d-a473-6bfe9a8b018b)\n\n* Sellers:\n\n  ![uploaded image](/media/?type=post&id=79735&key=user_uploads/166772/8f3f7f4f-50a9-47fe-a8a6-b48553daff75)\n\n  ![uploaded image](/media/?type=post&id=79735&key=user_uploads/166772/69969c5e-ce23-4bb8-a0ed-472113fc0cbe)\n\n\n**Traction**\\\nSince launching 10 weeks ago, we've signed a $100M term sheet with our first buyer, a $3B+ AUM asset manager. We are also engaged in late-stage negotiations on our first $50M seller term sheet, which is expected to close in Q2 2024.\n\n**An Experienced Team**\\\nOur founding team worked together at REZI (YC W17), a prop-tech company whose software aimed to make renting an apartment as simple as ordering on Doordash. When building REZI, we learned that financial institutions had an enormous appetite to buy leases as an asset class.\n\n**Our Ask**\\\nIf you’re a real estate operator or financial institution interested in using Ryse, please email us at [hello@rysemarket.com](mailto:hello@rysemarket.com)",
        "url": "https://www.ycombinator.com/launches/Kk3-ryse-the-secondary-market-for-real-estate-leases",
        "votes": 14,
        "created_at": "2024-03-27T13:56:19.649Z"
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    "id": 29466,
    "name": "Overheard",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tell Overheard what you're deciding, like how to fix churn or which feature to build next. It writes the interview, talks to your customers by voice, and comes back with answers.\r\n\r\nMost teams make these calls without hearing from customers because setting up interviews takes weeks and nobody owns it. Overheard gets you answers in days - no researcher needed.\r\n\r\nTeams use Overheard to find out why customers churn, test concepts and prototypes, set pricing, and run win/loss interviews.",
    "one_liner": "Know what your customers want, because they told you.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1711038198,
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    "url": "https://www.ycombinator.com/companies/overheard",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/overheard.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/openfoundry/",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1579075,
        "full_name": "Tyler Lehman",
        "title": "Founder/CEO",
        "founder_bio": "I'm the founder and CEO of Overheard. I was previously a PM at Meta, where I built API products and developer platforms for WhatsApp and Instagram. Before that, I worked on business and product analytics at Airbnb and LinkedIn. I also spent a few years as a consultant at Bain and as a full stack software engineer building information management software for libraries and universities.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tyler-lehman",
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    "launches": [
      {
        "id": 79580,
        "title": "Overheard (formerly OpenFoundry): Know what your customers want, because they told you.",
        "tagline": "AI that interviews your customers by voice.",
        "body": "**Update (September 2026):** We've moved on from open source AI infrastructure. Tell Overheard what you're deciding, like how to fix churn or which feature to build next. It talks to your customers by voice and comes back with an answer, with every point linked to the moment a customer said it. Check it out at [withoverheard.com](http://withoverheard.com). The original OpenFoundry launch post is below.\n\n# **tl;dr**\n\nHi everyone! We’re [Tyler Lehman](https://www.linkedin.com/in/tyler-lehman/) and [Arthur Chi](https://www.linkedin.com/in/arthur-chi-000/) from OpenFoundry. **We’re building the fastest developer experience for building on open source AI.** Imagine Hugging Face if it were built from the ground up for startups instead of ML researchers.\n\n**Our first product ([live on GitHub](https://github.com/openfoundry-ai/model_manager)) is a command-line tool to deploy open source models onto your own cloud with a single line of code.**\n\n![uploaded image](/media/?type=post&id=79580&key=user_uploads/1579075/6f0eccb2-7717-484c-8b4e-070258698d0c)\n\n[Here’s a demo](https://www.youtube.com/watch?v=49ay9Gqbc1U) where we ship Microsoft’s Phi-2 model to our cloud. A couple of lines of code to deploy, and in just minutes the server is ready for inference.\n\n# **🔮 Open source AI is the future**\n\nAI is the new layer in the tech stack. It’s as big a shift as cloud and mobile were two decades ago. **We believe open source AI will dominate this market**. Open source is catching up to the competition, and there’s a compelling business case for it: it’s faster &amp; cheaper for many use cases, it can be self-hosted, and it reduces platform risk.\n\n# **❌ But there’s a big problem: the developer experience is _rough_**\n\nAs great as open source models have become, the developer experience around them is bad. You have to cobble many components together and must trudge through poor documentation, flaky APIs, hacked-together solutions, and clunky cloud configs. **All of this slows developers down.**\n\nIn contrast, closed source companies like OpenAI provide an easy developer platform that just works out of the box with almost zero effort.\n\n**We’ve talked to many startups who are interested in moving more of their workloads onto open source models, but they feel stuck** with their expensive closed source solutions because it’s so painful to switch.\n\n# **✅ We’re solving this by making the experience effortless**\n\nOpenFoundry makes working with open source AI awesome so that it’s as easy to fine-tune, deploy, and scale products on open source models as it is on OpenAI.\n\n![uploaded image](/media/?type=post&id=79580&key=user_uploads/1579075/8a7ebec0-82cc-44e3-b7b2-8a8dab90b519)\n\nWith OpenFoundry, you’ll be able to:\n\n* **Ship to your cloud in just a few lines of code** _\\[We’re starting here!\\]_\n* **Find the best models, datasets, and practices for your use cases**\n* **Prototype and fine-tune in minutes**\n\nWithin the first week of launching we **already have customers putting critical workloads into production with our first product**. Several customers have even asked to invest in us, which we see as a clear sign that we’re building something important that people want.\n\n# **💪 We’ve done this before**\n\n**We built developer tools and communities at our previous jobs!** Prior to YC, Tyler built developer platforms for Instagram and WhatsApp that are used by more than a million developers. Arthur built large-scale APIs at Slack for products used by more than 350K customers.\n\n![uploaded image](/media/?type=post&id=79580&key=user_uploads/1579075/66b3d66c-f252-49d5-b466-e198fcc4da2b)\n\nWe’ve spent the last several months building products with open source AI and know first-hand the challenges of getting everything to work together. We’re excited to build a first-class developer experience to make building on AI faster.\n\n# **🎤 Our ask**\n\nWe’re excited to talk to more startups building with AI who are already using open source models or are interested in learning how to build on them!\n\nWe’d love to chat! You can reach us at [tyler@withoverheard.com](mailto:tyler@withoverheard.com)\n\nYou can also find us at [openfoundry.ai](http://www.openfoundry.ai) and [github.com/openfoundry-ai.](http://github.com/openfoundry-ai)",
        "url": "https://www.ycombinator.com/launches/KhY-overheard-formerly-openfoundry-know-what-your-customers-want-because-they-told-you",
        "votes": 59,
        "created_at": "2024-03-21T17:29:36.118Z"
      }
    ]
  },
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    "id": 29471,
    "name": "Senso",
    "slug": "senso",
    "former_names": [
      "Senso AI"
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    "website": "http://www.senso.ai",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Senso is building the infrastructure for the agentic web.\r\n\r\nAs AI agents replace websites as the primary interface for discovery, decisions, and commerce, enterprises need a new way to control how agents understand, reason over, and act on their data. \r\n\r\nSenso enables companies to register agent-first domains, ingest first-party enterprise data, and publish verified, structured ground truth that AI agents can safely answer from, recommend with, and transact against. \r\n\r\nOur platform continuously evaluates how models use this context and adapts it to gain authority across leading LLMs.\r\n\r\nWe are building the System of Record for Verified AI—powering AI discovery, agentic commerce, and post-transaction resolution across regulated and enterprise environments. ",
    "one_liner": "Control what AI says about you",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1704454195,
    "tags": [
      "Generative AI",
      "AI",
      "AI Assistant"
    ],
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      "Remote",
      "Partly Remote"
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    "year_founded": 2024,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/senso.ai",
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      "name": "Tom Blomfield",
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        "user_id": 174638,
        "full_name": "Saroop Bharwani",
        "title": "Founder",
        "founder_bio": "Saroop Bharwani, a tech entrepreneur and AI thought leader, is the co-founder of Senso.ai, a company that delivers generative AI solutions to enterprises preparing to compete in the Age of AI.  ",
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        "full_name": "Thomas Nelson",
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        "founder_bio": "Innovative tech leader and AI enthusiast, Thomas is passionate about harnessing technology to enhance business intelligence and productivity. His diverse background in computer science and neuroscience, coupled with hands-on experience in startups and tech development, drives his success at Senso.ai.",
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        "id": 89648,
        "title": "Account Executive | GEO & Agentic Commerce",
        "url": "https://www.ycombinator.com/companies/senso/jobs/R6HCKpD-account-executive-geo-agentic-commerce",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (Toronto, ON, CA; Toronto, Ontario, CA)",
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        "id": 89835,
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        "url": "https://www.ycombinator.com/companies/senso/jobs/iihFD4e-head-of-sales",
        "location": "San Francisco, CA, US / New York, NY, US / Toronto, ON, CA / Toronto, Ontario, CA / Remote (US)",
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        "id": 94210,
        "title": "Customer Success Specialist",
        "url": "https://www.ycombinator.com/companies/senso/jobs/TfpVA51-customer-success-specialist",
        "location": "Toronto, ON, CA / San Francisco, CA, US / Remote (US; CA)",
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    "launches": [
      {
        "id": 77419,
        "title": "Senso: AI-Powered knowledge base designed for Credit Unions",
        "tagline": "We empower marketing and support teams with LLM generated insights to expand customer relationships",
        "body": "**TL;DR:**  In traditional industries like financial services, knowledge feels stuck.  Existing knowledge bases weren’t designed for LLMs, and the time it takes for marketing and support teams to access information negatively impacts retention, loyalty, and sentiment.  Senso is building an AI-powered knowledge base to expand customer relationships, starting in the Credit Union space.\n\n### **THE TEAM**\n\nHey YC! \n\nWe’re Saroop and Tom, the founders of [Senso.](https://senso.ai/) Over the past decade, we’ve been developing AI solutions for banks and credit unions, which provide marketing and support teams with insights to boost customer retention rates. \n\n![](https://lh7-us.googleusercontent.com/DAfnwslYaXLHlOwYDuTl2NRqS8xF2yykeRCwLt2h5lOnasJNX6KT_sGiK5eArtdcO_vVGruqBTLT_ygSd76mPmbrICMMdBX16FGO7OHl0-lZbWe5dHrYKGmmFnkKoP6tmk9BQAZPHfKZiGCB80AB5cs)\n\n![](https://lh7-us.googleusercontent.com/F8grB5SIoPZ_vbvBAWd2S0I4SHpNIwGbYHu9PRBBLqUZaQjnVwCOkoVCWZhYAsSmm8zQlXHN7VLkRIGZsCmTSYql37Sd3hcet5UdSDKz8TpeZ8Y7mDFCpWLec8Mi0wo7XwsZJpszME2gWgKDrw-xHf8)\n\nConsider the following scenarios, which we see happen over and over again: \n\n* You contact your financial institution only to be put on hold for up to 10 minutes and then transferred to another department.  \n* You get offers which are not at all relevant to your life circumstances.\n\nSound familiar? This type of experience has become the norm in industries like financial services leading to frustrated customers and missed opportunities. \n\n### **PROBLEM**\n\nWe’ve started in the US Credit Union industry. Why Credit Unions? Because expanding member relationships is their highest priority. Currently, inefficient means in accessing information, policies and procedures, and past behavior bring unexpected overhead.  A few examples:\n\n1. **Service Delays:** 40% of members are put on hold by support teams, sometimes for up to 5-7 minutes, due to difficulties in accessing policies, procedures, and member information.\n2. **Marketing Relevance:** Marketing teams face 2-4 week delays in obtaining behavioral data, resulting in missed opportunities to provide personalized service.\n\nThese challenges, common across nearly 5000 Credit Unions, stem from an inefficient system for aggregating data and surfacing member behavior, intent, interactions, and policies & procedures in a timely fashion.\n\n### **SOLUTION**\n\nSenso is building an AI-powered Knowledge Base designed for traditional enterprises, starting with Credit Unions. Our product provides a flexible way to centralize enterprise knowledge, such as documents and conversational data, that LLMs utilize to improve information flow across support and marketing teams.\n\nOur GTM strategy is to partner with industry leaders to distribute our product. In the Credit Union space, we’ve partnered with [CU 2.0](https://cu-2.com/) to launch an industry-specific version of Senso called _CuCopilot_, built using our APIs.\n\nHere’s an example of how our growing customer base is using our product to provide more timely and personalized service to members.\n\n1. Ingest and summarize thousands of conversations so that support and marketing teams can understand what members are asking. Examples of metrics surfaced are sentiment and call purpose.\n\n   ![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/10e5893a-1b2d-45ea-86c1-fedca7b51580)\n\n2. In this example, the Credit Union decides to track members speaking about loan and account openings, and sets a frequency to auto-generate weekly FAQ’s based on interactions.\n\n   ![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/4df28765-c44b-4c70-a05e-8265a7652fcc)\n\n3. Once the FAQ is generated, support agents can better answer questions related to loan and account openings by searching for auto-generated responses.\n\n   ![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/a187222e-e718-43b7-8044-1d343f16f440)\n\n\nOne of our customers, TruStone Financial, has seen a significant uptick in the speed in which they are able to answer questions, and their documentation has improved response quality significantly.\n\n![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/9577b7e4-2d4a-4bb5-9982-41fce71918cc)\n\n### **ASKS FROM FOUNDERS**\n\n1. **Know anyone at a Credit Union?**  If our product may be of interest to anyone running a P&L, an introduction would be appreciated.\n2. **Developers:**  We’ve onboarded API partners like [TribalScale](https://finance.yahoo.com/news/tribalscale-partners-senso-ai-unleash-150000474.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAJ5FFiJ4Pej-4tSgYnh45PteFM4xrVRuwXZZK3mvqK-lUuciuSI9jY88Qq7pom6NihzRn_otmzscFaXUov7dVagdrP2C-ZVpmIHbxdyR9N4P7PlewKr1KQdt7hZlCgiBeemMC-EHObWOeEYPwiYj4OdcjifctXfZVtvtxXacNFw4) and [Fundmore](https://ncfacanada.org/fundmore-x-senso-ai-launch-solution-to-transform-lending/) to launch AI-powered knowledge bases in their products and industries. If you’re a developer interested in doing the same, we’ll set you up with an API Key.\n3. **YC Alum:**  While our solution has primarily been targeted at Credit Unions, we are getting demand from other industries, and if our solution is of interest to you, please reach out to explore.\n4. **Fellow Founders:** We look forward to getting to know you!  Please reach out if there’s a potential partnership opportunity.\n\n**Follow us:** [LinkedIn](https://www.linkedin.com/company/senso.ai/), [X](https://twitter.com/gosenso), and [Facebook](https://www.facebook.com/sensoai).\n\nFeel free to get in touch: [hello@senso.ai](mailto:hello@senso.ai)\n\nThank you,\n\nSaroop & Tom",
        "url": "https://www.ycombinator.com/launches/K8h-senso-ai-powered-knowledge-base-designed-for-credit-unions",
        "votes": 150,
        "created_at": "2024-01-10T22:54:49.703Z"
      }
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    "id": 29472,
    "name": "Silogy",
    "slug": "silogy",
    "former_names": [
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    "website": "https://silogy.io",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Silogy is building an AI-powered platform for chip developers to simulate and debug their designs.",
    "one_liner": "An AI-powered test and debug platform for chip developers",
    "team_size": 3,
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "year_founded": 2023,
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    "country": "US",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1524497,
        "full_name": "Kay Li",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO of Silogy. Originally a math major, I became passionate about chips while working in high-frequency trading. Previously Hudson River Trading. Interested in all things related to chips and money.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kay-li-84924128b",
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        "full_name": "Paul Kim",
        "title": "Founder/CTO",
        "founder_bio": "SiLogy CTO and cofounder. Previously Cloudflare, Sense Talent Labs, United Auto Workers. Interested in all things software, especially EDA.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/paul-kim-7b766262",
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    "launches": [
      {
        "id": 79226,
        "title": "SiLogy: Chip design and verification in the cloud",
        "tagline": "All-in-one platform for chip and FPGA development teams",
        "body": "**TL;DR**: SiLogy is building a platform for chip developers to run tests, track test statistics, and collaborate on debugging.\n\n—\n\nHey, we’re [Paul](https://linkedin.com/in/paul-kim-7b766262) and [Kay](https://linkedin.com/in/kay-li-84924128b), the cofounders of [SiLogy](https://silogy.io). We’re building chip design and verification tools to speed up the semiconductor development cycle.\n\n## **The Problem**\n\nInterest in designing new chips is growing, thanks to demand from AI and the predicted decline of Moore’s Law. Since the number of possible states grows exponentially with chip complexity, the need for testing in simulation is exploding, with chip developers already spending 70% of their time on testing. (See this video on the [verification gap](https://www.youtube.com/watch?v=rtaaOdGuMCc)).\n\nTooling hasn’t kept up. The state-of-the-art in collaborative debugging is to walk to a coworker’s desk and point to an error in a log file or waveform file. Each chip company rolls out its own tooling and infra to deal with this—this was Kay’s entire job at his last gig. But they want to work on chips, not devtools! The solutions they come up with are often inadequate and frustrating. That’s why we started SiLogy.\n\n## **The solution**\n\nSiLogy is a web app to manage the entire digital verification workflow. (“Digital verification” means testing the logic of the design and includes everything before the physical design of the chip. It’s the most time-consuming stage in verification.)\n\nWe combine three capabilities:\n\n**Test running, results, and statistics**: Our CI tool runs tests in the cloud, allowing engineering teams unlimited flexibility in scaling their test volume. We also track each project’s progress in test coverage and test pass rate.\n\n![uploaded image](/media/?type=post&id=79226&key=user_uploads/151331/d9a4d2a6-9662-4ee6-8eef-e735b10885b6)\n\n**Killer application-specific features**: We’re building features tailored for verification use cases. We incorporate a test orchestration framework, waveform viewer, coverage report, and other features specifically for verification teams, providing customers an advantage over competitors using a generic CI solution such as Jenkins.\n\n![uploaded image](/media/?type=post&id=79226&key=user_uploads/151331/d2beb46c-884b-4fec-b731-698c1c0a2312)\n\n**Collaboration**: soon you’ll be able to send a link to and leave a comment on a specific location within a log or waveform file, just like in Google Docs.\n\n![uploaded image](/media/?type=post&id=79226&key=user_uploads/151331/db8f1954-dafb-4a9e-b739-1b883c4963ac)\n\n## **Asks**\n\nIf you have experience with Verilog, even just from college, give our product a try at <https://dash.silogy.io/signup>. Tell your loved ones who work on chip or FPGA design and verification to give us a try as well.\n\nIf you have thoughts on the state of verification, get in touch at [paul@silogy.io](mailto:paul@silogy.io). If you or someone you know wants a demo, schedule a meeting with us [here](https://calendly.com/d/5gd-rf6-66h/silogy-product-demo).\n\nThanks for your support!",
        "url": "https://www.ycombinator.com/launches/Kbq-silogy-chip-design-and-verification-in-the-cloud",
        "votes": 29,
        "created_at": "2024-03-08T22:44:21.395Z"
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    "id": 29474,
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    "all_locations": "New York City, NY, USA",
    "long_description": "Every company is about to run two systems: one that generates software and one that validates it. Spur is the second one.\r\nSpur runs specialized agents against the real product the way a customer would use it: functional, visual, content, native iOS and Android on real devices, and accessibility and compliance.",
    "one_liner": "Spur is the validation infrastructure enterprises use to ship at the…",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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      "B2B",
      "AI"
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    "batch": "Summer 2024",
    "status": "Active",
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    "question_answers": [
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Anushka and I met our freshman year at Yale. We did research at the Yale NLP Lab on web agents. Sneha previously worked on growth at Figma, and Anushka on codegen at DeepMind. We’ve hacked on our fair share of projects before — and have very much felt the pain of neglecting testing."
      }
    ],
    "url": "https://www.ycombinator.com/companies/spur",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/spur.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/spur-test/",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 700570,
        "full_name": "Sneha Sivakumar",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at Spur. Previously, Growth Engineer at Figma and Snap. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sivakumarsneha/",
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        "full_name": "Anushka Nijhawan",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Spur. Previously @ Yale CS, Deepmind, and Meta.",
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        "id": 71504,
        "title": "Founding Engineer / Full Stack",
        "url": "https://www.ycombinator.com/companies/spur/jobs/nmQ6lJD-founding-engineer-full-stack",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $225K",
        "equity_range": "0.20% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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        "id": 79490,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/spur/jobs/GoFbA9F-founding-designer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$140K - $220K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 82112,
        "title": "Founding Engineer Infra/Backend - Spur",
        "url": "https://www.ycombinator.com/companies/spur/jobs/cQGJFb3-founding-engineer-infra-backend-spur",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $250K",
        "equity_range": "0.40% - 0.60%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Microsoft Azure",
          "Kubernetes",
          "Python",
          "Docker"
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    "news": [
      {
        "title": "YC Alumni Spur Just Raised $4.5M for Their AI Agent Qa Startup - Business Insider",
        "url": "https://www.businessinsider.com/yale-alumni-spur-funding-ai-agent-startup-2025-4?type=social",
        "date": "Apr 17, 2025"
      },
      {
        "title": "Y Combinator | Yale grads Sneha and Anushka begins tech startup",
        "url": "https://www.globalindian.com/youth/story/global-indian-exclusive/from-classroom-to-startup-yale-grads-sneha-and-anushka-turn-class-project-into-a-tech-startup/",
        "date": "Sep 17, 2024"
      },
      {
        "title": "With launch of tech company Spur, recent grads discuss the hectic, exciting startup life | Yale School of Engineering & Applied Science",
        "url": "https://seas.yale.edu/news-events/news/launch-tech-company-spur-recent-grads-discuss-hectic-exciting-startup-life",
        "date": "Sep 08, 2024"
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      {
        "id": 116412,
        "title": "Spur - testing infrastructure for your mobile apps",
        "tagline": "test and validate your mobile apps in plain english.",
        "body": "hey everyone 👋 we're Sneha and Anushka, co-founders of [Spur](https://www.spurtest.com/).\n\n### **TL;DR** Spur is building the validation infrastructure for software teams. We started with web testing, and today we're launching native app testing across iOS and Android.\n\nSpur is building the validation infrastructure for software teams. We started with web testing, and today we're launching native app testing across iOS and Android.\n\nSpur's agents test your apps the way real users do. You define the behavior you want to test in natural language, and Spur figures out how to execute and validate it across iOS and Android, native interactions, and web views.\n\nTeams at HelloFresh, Nextdoor, DocuSign, Bilt, Alo Yoga, and Abercrombie are already using Spur for testing across their digital experience – on websites and on their apps.\n\n**Our Ask:** If you’re building and maintaining a mobile app, we'd love to help you test it.\\\nBook a demo:[ https://spurtest.com/book-a-demo](https://spurtest.com/book-a-demo)\n\n## **The problem**\n\nSoftware is getting generated faster than ever: features that used to take days to build are now generated in minutes. But - once the feature exists, someone still has to figure out whether it actually works.\n\nThat validation process hasn't sped up at the same rate.\n\nIf you’re shipping mobile apps, this gets even harder. The same product flow often turns into separate automation for ios and android. Teams maintain the tests, the device infrastructure they run on, and the CI setup around them.\n\nAnd as your product changes, your automation has to change with it.\n\n## **The solution**\n\n1. **Natural Language allows you to define the “intent” of a test:**\n\n   Most test automation describes exactly _how_ to use an application.\n\n   _Find this element. Tap it. Wait for another element. Enter text. Assert a value._\n\n   That makes the test tightly coupled to the implementation. Spur tests describe what the user should be able _to do_ instead.\n\n   _Add an item to cart, apply a promo code, and complete checkout with Apple Pay._\n\n   The test captures the intent of the flow. Spur figures out how to execute it against the application in front of it. This means the same test can keep working across platforms or ui changes, because the thing you’re testing - the user behavior - hasn’t changed.\n2. **Spur runs the infrastructure too**\n\n   You upload the builds and choose what you want to validate. Spur handles the environment those tests execute in and runs them on our infrastructure. That means mobile testing becomes much closer to:\n\n   _build → upload → validate_\n\n   instead of becoming its own infrastructure project.\n\n   Tests can run as part of a release, against a pull request, on a schedule, or whenever an engineer wants to validate a change.\n\n   ![uploaded image](/media/?type=post&id=116412&key=user_uploads/700570/52f7df91-1940-4f7c-a2df-4299adbee3e3)\n\n3. **Built for engineers and agents**\n\n   As more software is written by coding agents, we think validation also needs to become something agents can use directly.\n\n   MCP is a first-class interface to Spur. A coding agent can make a change, ask Spur to validate the relevant user flows, inspect the result, fix what failed, and run the validation again.\n\n   So the loop starts to look like:\n\n   _generate → validate → fix → validate → ship_\n\n   Humans can define the intent, using anything as context (tickets, figma files, PRDs, your codebase). Agents can continuously check whether the software still satisfies it.\n\n   ![uploaded image](/media/?type=post&id=116412&key=user_uploads/700570/1438d0de-f515-48cf-8f6c-4c478e4a7dba)\n\n\n## **Why we built this**\n\nWe've spent the last few years building testing infrastructure for large software teams.\n\nOne thing has become increasingly clear: writing software is becoming dramatically easier, while proving that software works is still slow and expensive.\n\nWe think the gap between software generation and our ability to validate it is only going to widen.\n\nThe future of testing isn't maintaining more and more scripts. Validation needs to become more intelligent, adaptive, and be able to keep up with the rate at which software is changing.\n\nThat's what we're building at Spur.\n\nIf you're building or maintaining a mobile app, we'd love to work with you: <https://spurtest.com/book-a-demo>.",
        "url": "https://www.ycombinator.com/launches/UHc-spur-testing-infrastructure-for-your-mobile-apps",
        "votes": 20,
        "created_at": "2026-09-23T15:09:11.428Z"
      },
      {
        "id": 83237,
        "title": "✨ Spur - Your AI QA Engineer",
        "tagline": "Spur lets you test your website with natural language.",
        "body": "# **TL;DR: Spur lets you test your website with natural language.**\n\n## You can launch web agents that mimic exactly what your users do on your platform, so you can ensure your product doesn’t fail your users.\n\n---\n\n### Launch Day Deal 🎉\n\nAs part of launch day, we are offering to help you set up tests for your **core flows** on [signup](https://tally.so/r/n9WR4Q) for free. \\\nUse the code `SPUR_LAUNCH` on signing up to redeem this deal.\n\n—\n\n# Here’s how it works! (A flow we test for the YC Tech Team)\n\nAn example test for YC’s Application Portal to Invite Co-Founders\n\n![uploaded image](/media/?type=post&id=83237&key=user_uploads/700570/14e90a74-1b37-42e0-b36b-f6cc3b5d31aa)\n\n<https://www.loom.com/share/bbab011b36904f4ea6d97a85225c7c30?sid=2023cab4-e476-4574-9ad3-f5daf34d4d89>\n\n# **⛔️ The Problem (Do we even need to get into this?)**\n\nA. Testing is TIME-CONSUMING and PAINFUL. 🤕\n\n* whether you write a test\n* or manually check (or maybe not check) your core flows every single time you merge to production\n\nB. Tests are not MAINTAINABLE; they break! 🛠️\n\n* Your UI is constantly changing, and maintaining test scripts is a tedious task.\n\n## **✨ The Solution**\n\nOn Spur, you can:\n\n* Write automated tests in minutes (_not hours_) with natural language 💨💨\n* Not worry about maintaining tests when your UI changes 💅\n\n  _We use multimodal agents that interact with your web pages exactly like users would. Tests are not bound to CSS selectors_\n\n## **🧡 The Team behind Spur**\n\n[Anushka](https://linkedin.com/in/anushka-nijhawan-8380361b1) and I met our freshman year at Yale. We did research at the Yale NLP Lab on web agents. [Sneha](https://www.linkedin.com/in/sivakumarsneha/) (here!) previously worked on growth at Figma, and Anushka at DeepMind. We’ve hacked on our fair share of projects before — and have very much felt the pain of neglecting testing.\n\n![uploaded image](/media/?type=post&id=83237&key=user_uploads/700570/6ceb23f3-b013-4f80-a2f0-04e4c1539ba3)\n\n## **🤝 Our Ask**\n\n### **If this problem is one that you face, try us out!**\n\n* Book a [demo](https://calendly.com/sneha-sivakumar-1/30min)\n* [Sign up!](https://tally.so/r/n9WR4Q) We are live and actively onboarding customers every single day\n\nOur customers have found a **lot** of value from using us so far, and we’d love to take testing off your plate. Here is what some of them have said :)\n\n> Spur is shockingly easy to use—no coding, just plain English. Simply describe what you want to test, and Spur handles the rest. Onboarding was a breeze, and Anushka and Sneha are fantastic to work with.\n>\n> _\\- Eve Bouffard, Product Engineer @ YC Tech Team_\n\n> I’m gonna see if I can expense Spur through my wellness stipend. Category: Therapy\\\n> \\- Gabe Wilson, Founder & CTO @ Terrakotta\n\n> We had a HUGE UI revamp and are still able to test easily without needing maintenance, not a single test has broken due to flakiness. They mean it when they say their tests are reliable. \\\n> \\- Joseph Parker, Founder & CTO @ VecFlow\n\n> We’ve been using Spur and it’s been AMAZING — unlike all the competitors that we’ve tried, they actually work! Can highly recommend.\\\n> \\- Konsti Wohlwend, Founder @ StackAuth",
        "url": "https://www.ycombinator.com/launches/LeX-spur-your-ai-qa-engineer",
        "votes": 187,
        "created_at": "2024-08-20T18:33:59.716Z"
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    "name": "Reform",
    "slug": "reform",
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    "website": "https://www.reformhq.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Reform, we’re building a platform for building and managing AI agents that perform high-stakes operational work. Some of the most critical industries today run on outdated systems, spreadsheets, and manual processes - creating friction across every handoff, contract, and invoice. We’re rebuilding this infrastructure from the ground up.",
    "one_liner": "AI Agents for high-stakes work.",
    "team_size": 13,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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    "isHiring": true,
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    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/reform",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/reform.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reformhq",
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        "user_id": 1362655,
        "full_name": "Omar Abuhashish",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Reform. BS in CS and mechanical & aerospace engineering from NYU. Prior to Reform, worked on new products at CoinTracker (YC W18) and was engineer #1 at Altan Insights.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/omarabuhashish",
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      {
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        "full_name": "Pradhit Gosula",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of Reform \n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pradhit-gosula-27a955149",
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        "id": 82937,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/reform/jobs/0GwlJHw-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $175K",
        "equity_range": "0.30% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84524,
        "title": "Recruiting Lead",
        "url": "https://www.ycombinator.com/companies/reform/jobs/ei44CKT-recruiting-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$125K - $175K",
        "equity_range": "0.20% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 84525,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/reform/jobs/vWBAFlT-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.30% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 95231,
        "title": "Forward Deployed Engineer — Spanish Speaking",
        "url": "https://www.ycombinator.com/companies/reform/jobs/EfKLPPO-forward-deployed-engineer-spanish-speaking",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "visa": "US citizen/visa only",
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      {
        "id": 108324,
        "title": "Licensed Customs Broker",
        "url": "https://www.ycombinator.com/companies/reform/jobs/b05roZC-licensed-customs-broker",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $170K",
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      {
        "id": 79036,
        "title": "Reform: The fastest way to build modern logistics software",
        "tagline": "Development tools for logistics engineering teams",
        "body": "👋 Hello world! It’s [Saif](https://www.linkedin.com/in/saifabuhashish/), [Omar](https://www.linkedin.com/in/omarabuhashish/), and [Pradhit](https://www.linkedin.com/in/pradhit/) here to introduce you to [Reform](https://www.reformhq.com/)!\n\n🤓 **TL;DR**\n\nReform is the easiest way for dev teams to build modern logistics software fast. Logistics service providers use our pre-built components and APIs to build software that can automate tasks such as quoting, shipment creation, and customs clearance filing. \n\nOne of the largest freight forwarders in Latin America is using Reform to automate shipment creation and invoice processing.\n\n\\\n**❌ Problem**\n\nLogistics service providers rely on dated, archaic ERP and transportation management systems (TMS) to manage their operations. These systems are rigid, closed, and opinionated. Oftentimes, they require customization, and hence, the need for logistics service providers to hire development agencies to build bespoke customizations and internal tools on top of these systems to make them easier to work with. \n\nAn alternative these companies resort to is to build an internal system from scratch to fit their business needs. However, such an undertaking is long, costly, and is oftentimes a distraction from their core business.\n\n\\\n**⚒️ Solution**\n\n**Reform is the sweet spot between buying a generic off-the-shelf TMS and building one in-house**. Our APIs and pre-built components allow logistics service providers to build the modern transportation management system they need - faster, better, and without the maintenance overhead.\\\n\\\nOur first product is an AI-powered API suite that allows logistics service providers to build custom automations for mundane tasks related to their TMS. \\\n\\\nOur APIs are used to power automation use cases including:\n\n🚢 Shipment and quote creation\n\n👮 Customs clearance filing\n\n🏭 Warehouse order intake\n\n🧾 Invoice reconciliation\n\n\\\n⚙️ **How it works**\n\n**Eliminate manual document analysis:** Our customizable AI-powered data extraction API, purpose-built for the logistics industry, allows you to extract data with high accuracy from incoming emails and documents including commercial invoices, BOLs, packing lists, and more.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/b3cfab82-392b-4fee-853c-1adaed324808)\n\n\\\n**Integrate with any TMS**: Our Universal API allows you to plug extracted data into any system without the burden of building and maintaining integrations.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/259bb079-8490-4260-b8b8-fc598221c91b)\n\n**Build beautiful interfaces:** Our headless UI components allow you to embed our APIs directly in your products and customer-facing dashboards.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/1200b04a-798a-44ea-8de9-0bbe694a316c)\n\n**Meet The Team**\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/28bdbda5-b565-4a50-8d9d-919bed1cac4f)\n\nSaif and Omar are brothers, born and raised in Jordan, before moving to the US to pursue a career in technology. Saif built warehouse robotics at Amazon, conversational AI at Capital One, and category-defining SaaS at Drift. Omar was a founding engineer at Altan Insights, followed by building 0 → 1 products at CoinTracker (YC W18). Omar was also Pradhit’s favorite co-worker at CoinTracker, where together, they led the new products team. Before that, Pradhit was at Microsoft where he built data pipelines to process petabytes of telemetry data.\\\n\\\n🙏 **Asks**\n\n* If you know any freight forwarders, 3PLs, or logistics software providers that might be interested in Reform, send them our way!\n* Think we can help, have questions or feedback? [Book a call](https://calendly.com/omar-abuhashish/20-min) or reach out to us at [founders@reformhq.com](mailto:founders@reformhq.com)!",
        "url": "https://www.ycombinator.com/launches/KYm-reform-the-fastest-way-to-build-modern-logistics-software",
        "votes": 62,
        "created_at": "2024-03-04T20:39:40.112Z"
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    "website": "https://www.voxopsai.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Garages, dealers and lenders receive and make a huge number of calls across the customer journey, covering many uses cases. Customers don't want to be kept waiting and want to be proactively informed with reminders and updates by their service providers. \r\n\r\nVoxOps automates up to 80% of their inbound and outbound calls, whilst automating downstream workflows.",
    "one_liner": "Voice AI for Automotive",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1703336574,
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    "batch": "Winter 2024",
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    "regions": [
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    "stage": "Early",
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        "full_name": "Stefan Vukcevic",
        "title": "Founder/CEO",
        "founder_bio": "Ex-Revolut pirate turned AI romantic.\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/stefanvukcevic",
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        "full_name": "John Hesler",
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        "founder_bio": "Embarked on my construction journey at the age of 16, I've relentlessly climbed the industry ladder, starting from the grassroots and ascending to the summit. With a profound commitment to excellence,I've cultivated a wealth of knowledge that spans the entire construction spectrum. Now, as a pivotal force behind Konstructly, I'm excited to channel my expertise towards revolutionising the construction Industry worldwide.",
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        "title": "Konstructly - Making construction payments more efficient",
        "tagline": "Digitise subcontractor payments and connect them to QA and progress. ",
        "body": "# Tl;dr\n\nWe digitize subcontractor invoicing and payment approvals (valuations) and connect them to the respective quality checks of the works, trade handovers, and live progress. \\\n\\\n[Konstructly](https://konstructly.com/) not only streamlines manual processes and provides unparalleled visibility, it drives productivity from contractors’ supply chains using the ultimate incentive - cash.\n\n# Team 👷👷👷\n\nHi everyone, we’re [Dima](https://linkedin.com/in/dmitryvim), [John](https://www.ycombinator.com/companies/www.linkedin.com/mwlite/profile/in/john-hesler), and [Stefan](https://linkedin.com/in/stefanvukcevic), and we’re on a mission to prevent overspend in construction. We’re doing this by ‘following the money’ and mapping payments directly to their corresponding works on-site.\n\n![uploaded image](/media/?type=post&id=77091&key=user_uploads/1005097/6f11951c-d0eb-4ec6-854c-db4c448cf807)\n\n# \n\n# The Problem ❌\n\nIn construction, Production— those doing and managing the build on-site— are disconnected from Commercial, those responsible for the project’s finances and profitability. \\\n\\\nThis ultimately results in overspending. \\\n\\\nFor example, quantity surveyors spend 25-50% of their time processing subcontractor invoices, mostly because they don’t have the necessary data on hand. They also spend a lot of time on low-value, manual tasks like data entry. This means that they spend less time on high-value tasks like tendering and procurement, where oversights result in costly mistakes. \\\n\\\nLack of visibility means that a lot of stuff gets swept under the carpet, only to resurface at the end of a project (eg. variations). It also means that subcontractors are less accountable as it’s more difficult to prove things, resulting in reduced productivity, more rework, and longer delays. \n\n# \n\n# The Solution ✅\n\nA single app connecting Production and Commercial stakeholders, entities, and workflows, to save time, increase visibility and incentivize productivity.\n\n# \n\n# How It Works 👨🏻‍💻\n\nSubcontractors’ site teams log their progress for approval/QA by the general contractor’s (GC) site team and for handover acceptance by the next trade. This progress auto-fills their applications, saving their commercial team a lot of time.\n\nThe GC’s commercial team then just has to amend/review as necessary in a simple, purpose-built interface, with all the production data visible (progress, QA, handover acceptance). It makes valuing and approving the subcontractor’s work a lot quicker and provides much more control/visibility. This incentivizes subcontractors to build the right first time (productivity) as GCs can more easily identify inadequacies and withhold payments until works/tasks are performed properly, in their entirety.\\\n\\\nRecorded Handovers are extremely powerful - general contractors are finally able to capture responsible parties and quantify delays, allowing them to enforce liquidated damages or, at the very least, have more leverage in final account negotiation. This encourages prompt and correct behavior from both parties, once again relying on cash to drive productivity.\n\n# \n\n# How We Came Across the Problem 💡\n\nStefan previously built and operated a construction labor marketplace. \\\n\\\nHe handled invoicing and payments between the subcontractor and contractor, needing to manually unify all the different document formats (photos of handwritten statements, WhatsApp lists, emails, word docs, spreadsheets, etc) and manage the endless back and forth between multiple stakeholders - who all had different opinions on what work had been done and how much should be paid! \\\n\\\nNot only was the submission and approval process extremely inefficient, but there was no visibility over the corresponding works or their quality checks, massively increasing risk and friction between the parties. Something had to change!\n\n# \n\n# Our Ask 🙏\n\nConnect us with relevant constructions peeps! eg. Those at general contractors/house builders turning over $20m/year. \\\n\\\nDrop Stefan an email at: [stefan@konstructly.com](mailto:stefan@konstructly.com)",
        "url": "https://www.ycombinator.com/launches/K3P-konstructly-making-construction-payments-more-efficient",
        "votes": 14,
        "created_at": "2023-12-23T16:24:15.373Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Integuru turns any platform into a reliable, low-latency, and high-throughput API. Requests complete in 3 seconds with 99.9%+ success, including deployments above 1M requests/month/platform. No RPA or browsers. No data caching needed. (By Taiki, Inc.)",
    "one_liner": "Generate fast, reliable APIs for any platform",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1709153976,
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    "regions": [
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/integuru-ai/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Richard Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Integuru — build and maintain fast, reliable integrations for any platform. Previously, product at Alibaba Cloud; data science at DiDi; and investor at Dragonfly and Gaorong Capital.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/richardfzhang",
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        "full_name": "Alan Lu",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Integuru",
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      {
        "id": 101982,
        "title": "Integuru ⚡️ Generate fast, reliable APIs for any platform",
        "tagline": "We help agents control any external system, with speed and reliability.",
        "body": "📝 **TL;DR:** [Integuru](https://bookface.ycombinator.com/company/29498) **generates fast, reliable, and high-throughput APIs for any platform.** API calls complete in \\~**3 seconds** with **99.9%+ success**. No RPA or browsers. No data caching needed. Customers are already using fully generated integrations in production at millions of requests per month.\n\nStarting today, Integuru is **publicly accessible** and **free to try**! You can **use it** [here](https://app.integuru.com/).\n\n### **🎬 Integuru in Action**\n\n<https://youtu.be/v00yl_46H34>\n\n### 🎯 **The Problem**\n\nAI agents need to access external platforms, but most platforms don’t offer official, accessible, or comprehensive APIs. **That makes integration the single biggest bottleneck.**\n\nFor building integrations, most companies today use RPA, typically implemented via browser automation. RPA is easy to set up, but many AI companies have now **outgrown their RPA implementations**. They’re running into issues with **latency**, **reliability**, and **throughput**. A single API call can take minutes, and integrations are vulnerable to breaking due to frontend changes.\n\nWith RPA, there’s a relatively low ceiling on the number of concurrent browser instances on the same platform. This limits the number of requests. As customer counts grow, companies require higher throughput, but RPA, by nature, cannot support that demand.\n\nAt the same time, regardless of the approach you take to integrate, **edge cases are among** **the biggest causes of integration breakage**. Edge cases are different branching logic, states, and paths that appear in real-world usage across accounts and scenarios. Integrations that seem fine during testing can completely break in production.\n\nEdge cases can be caused by things like:\n\n* conditionally appearing fields and pages\n* hidden business logic depending on inputs\n* varying server behaviors\n\nTraditionally, testing edge cases must be done manually. Developers must manually trigger as many variations as possible, including changing inputs and stress-testing server limits. This process is often tedious and cannot cover everything, which threatens integration reliability.\n\nToday, we’re announcing a **publicly accessible,** **self-serve product** that solves all these issues and generates robust APIs in minutes.\n\n### 📈 **Integuru’s Solution**\n\nInteguru is an AI platform that **automatically reverse-engineers a website’s backend**. It generates integrations that directly ping website servers, with API docs for each.\n\nInteguru **covers edge cases** that arise during production workloads. It also **auto-heals authentication flows**. Meanwhile, we have a **24/7 on-call maintenance team** available, with **hands-on support** whenever human intervention is needed.\n\nIn real production environments for early-access partners (many of which are YC companies!), requests complete in **\\~3 seconds** with **99.9%+ success**, including deployments **above 1M requests/month/platform**. Requests are **executed live** and achieve low latency without data-caching.\n\nThe workflow is simple with minimal manual involvement:\n\n1. On Integuru, input the website and account you want to integrate with.\n2. Describe your desired feature in natural language. (No need to manually perform or record any actions.)\n3. Integuru proposes an API schema and, upon your approval, generates the endpoint in \\~10 minutes, along with API docs.\n\nEndpoints are **immediately testable** and **production-ready**. For authentication, we support 2FA and will coordinate with you.\n\nWe already support the majority of platforms today. If Integuru can’t yet handle your use case automatically, we’ll evaluate and provide hands-on support at no extra cost.\n\n### **🙋‍♂️ What industries have been using Integuru?**\n\nEarly-access partners are already using generated APIs in production across use cases, processing millions of requests per month with minimal human involvement.\n\n* Healthcare: connecting to EHRs, EMRs, RCMs, CTMSes, insurance portals, etc.\n  * We sign BAAs at no cost. You can sign a BAA directly in the product.\n* Logistics: integrating with TMSes, WMSes, ERPs, carrier portals, etc.\n* Proptech: automating property management systems, utilities, permitting software, etc.\n* Legal: controlling practice/case management systems, government portals, etc.\n* Enterprise AI transformation: accessing ERPs, CRMs, CX platforms, internal tools, etc.\n* … and more\n\n## 📚 **Backstory**\n\nOur first [open-source](https://github.com/Integuru-AI/Integuru) agent (4k+ stars) proved demand for robust integrations, but it couldn’t handle the complexity of modern platforms. So we did things that didn’t scale. We manually built and maintained integrations for customers, eventually supporting millions of API calls every month. That gave us a front-row seat to the messy reality of integrations. We tried turning those learnings into a self-serve product, but that version still wasn’t enough, so we kept dogfooding it while building customer integrations. Eventually, we rebuilt the self-serve product from the ground up, using insights we gathered around edge-case coverage, auto-healing, better UX, production reliability, and high-throughput execution. This is the product you see today, and companies are already using it to generate integrations that run reliably in production.\n\n## 🚀 **Try for free today!**\n\nInteguru is **publicly accessible** starting today and **free to try**!\n\nYou can **get started on your own** [here](https://app.integuru.com/), or **schedule an onboarding call [here](https://calendly.com/alan-taiki/integuru-guided-setup)** if you want us to set up everything for free or have specific questions.\n\n![uploaded image](/media/?type=post&id=101982&key=user_uploads/504669/89260a10-1e12-47b1-92b9-2e920e95b3e3)\n\n",
        "url": "https://www.ycombinator.com/launches/QWs-integuru-generate-fast-reliable-apis-for-any-platform",
        "votes": 10,
        "created_at": "2026-05-26T18:33:59.675Z"
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    "id": 29499,
    "name": "Forge",
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    "website": "https://www.forgehq.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Forge manages international logistics for business around the world. We’re an AI native freight forwarder, customs broker, and tariff expert.\r\n\r\nWe’re growing rapidly and support small mom and pop business to the Fortune 1000s, including companies like Allegiant Airlines, Malbon Golf, and R.E.M. beauty.\r\n\r\nForge has raised capital from world class investors including Google, Y-Combinator, and Gradient Ventures.",
    "one_liner": "AI native freight forwarder and customs broker",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1705516248,
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        "url": "https://www.ycombinator.com/companies/forge/jobs/fCpu2RO-software-engineer",
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        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/forge/jobs/jz3xNXt-founding-gtm",
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      {
        "title": "Engineer brothers found Forge to modernize hardware procurement | TechCrunch",
        "url": "https://techcrunch.com/2024/06/04/ex-meta-blue-origin-brother-engineers-raise-2m-to-solve-hardware-procurement/",
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        "id": 89310,
        "title": "Forge - Getting companies refunds on tariffs & duties",
        "tagline": "Recover 99% of import taxes on goods you export or destroy",
        "body": "**tl;dr:** Forge helps companies recover tariffs and duties paid on imported goods that are later exported or scrapped by automating a process called duty drawback. Most companies don’t file for drawbacks because it can be complicated & cumbersome. We solve this by taking on all the work for our customers from organizing data to filing, and automating it behind the scenes. Reach out to us at: [www.forgehq.com](http://www.forgehq.com).\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/89898/703a07d3-3dad-49eb-9cd3-1c80cd2719a9)\n\nHello everyone! We're Emir and Haris, two brothers and the co-founders of Forge! We’re here to help companies save money on their tariffs & duties.\n\nHaris (left) is the CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer. Emir (right) is the CEO of Forge. Previously he was a lead engineer with experience designing, building, and testing rocket engines at Blue Origin and Stoke Space. At Stoke, Emir was part of a small team that became the fastest to ever go from seed funding to engine hot fire.\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/1181593/44c70c94-7705-4dd2-8c02-215f92c83d2e)\n\n🧩 **The problem:**\n\nLast year, the US collected over $85 billion in import duties, and that number will increase dramatically with the newly established tariffs. However, when a business imports goods, they are allowed to claim a refund on the taxes they paid if they later export or scrap goods - this process is called duty drawbacks.\n\n$6 billion dollars of recoverable duties go unclaimed every year, and that was before Trump’s new tariffs. Most companies don’t file for drawbacks because the process is extremely cumbersome & complicated. The biggest companies have compliance teams & specialized customs brokers supporting them on multi-million dollar claims, but if you’re a small or medium-sized business, you have no options. Supply chain teams don’t have the time to manage all the work needed to run a drawback program, and brokers avoid supporting claims under $500k.\n\n💡 **Our solution:**\n\nOur team provides duty drawback as a white glove service while leveraging AI and custom internal tools to automate the work. This allows us to serve more businesses, while also requiring little to no effort from our customers. We file all paperwork with customs, extract all necessary data, and do the work to maximize their refund. The best part: it’s free upfront— we only get paid when our customers get paid.\n\nSupply chain & logistics are hard. Tariffs & duties make it even harder. We are here to make it easy for businesses to claim the revenue they deserve.\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/1181593/8a06bd8f-bb66-428f-a439-d9727f160284)\n\n\\\n🙏 **Ask: How you can help**\n\nConnect us to importers, exporters, manufacturers, DTC brands, and any business impacted by the tariffs in your network! Email [emir@forgehq.com](mailto:emir@forgehq.com)\n\n* Check us out and talk with us at [forgehq.com](http://forgehq.com)\n* Share this post!",
        "url": "https://www.ycombinator.com/launches/NEU-forge-getting-companies-refunds-on-tariffs-duties",
        "votes": 26,
        "created_at": "2025-04-07T21:36:45.016Z"
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      {
        "id": 77785,
        "title": "🛠️ Forge - Procure hardware and control spend on one platform",
        "tagline": "Collaborate with manufacturers, track orders from quote to delivery, manage purchase approvals, and more!",
        "body": "**tl;dr:** We’re bringing everything related to your team's hardware procurement under one platform. [Forge](https://www.forgehq.com/) makes it easy to get your parts made while also providing insight into your teammates' purchases, the status of their parts, and more. On top of this, we give companies the ability to set their procurement policies in a straightforward manner, making it simple for everyone to follow. **Request a demo at [www.forgehq.com](https://www.forgehq.com/)**.\n\nHello everyone! We're [Emir](https://linkedin.com/in/emir-sahmanovic-976b71b5) and [Haris](https://linkedin.com/in/haris-sahmanovic-438884126), two brothers and the co-founders of Forge! We’re on a mission to help hardware teams move faster.\n\n![uploaded image](/media/?type=post&id=77785&key=user_uploads/1181593/f67f210b-2410-49ec-a452-9fa5eaf20b34)\n\nHaris (left) is the CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer. Emir (right) is the CEO of Forge. Previously he was a lead engineer with experience designing, building, and testing rocket engines at Blue Origin and Stoke Space. At Stoke, Emir was part of a small team that became the fastest to ever go from seed funding to engine hot fire.\n\n\\\n🧩 **The problem:**\n\nGetting parts into engineers’ hands sets the pace for hardware companies. However, procurement teams use email, spreadsheets, and phone calls to manage billions of dollars of spend. This causes huge coordination issues as many engineers don’t know whose approval they might need, when parts are coming in, and who ordered what. We saw it over and over again at companies of all sizes: poor supply chain operations cause constant delays and bottleneck the pace of development. In 2023, engineers were estimated to spend over 6 hours per week on procurement activities.\n\n**💡 Our solution:**\n\n![uploaded image](/media/?type=post&id=77785&key=user_uploads/1181593/d75081e4-05ee-4d46-84c7-c0bf54dfac90)\n\nOur software allows you to request quotes from your suppliers, where you can attach drawings and CAD. We then organize the quotes into a format that’s perfect for comparing your options. Once a supplier has been selected, you can continue to work with them by messaging, sharing files, and getting feedback directly on Forge. All these actions are viewable by your teammates, ensuring everyone is on the same page without the need for time-consuming meetings or searching through documentation.\n\n![](https://lh7-us.googleusercontent.com/ugOWDLKfrQ1vBzd6yGZ5v0K2sYRXfPy9B2clqANCArFWQZp_Ef68QtXryh9Nsrh5BGND-36ErJc2DUDj3QsBQIAY7SmXwNIdlX3ymAi9ycLecJm2Ir-iyzlNxJ6URwENwLBJ50xgGNFlqiG66AsGddU)\n\nMany companies struggle with unclear procurement operations. Forge offers a highly customizable tool for companies to publicly set their procurement flows in an easily readable manner. No more wondering who’s approval you need or what you’re waiting on. Even better - no IT team is needed for set up and changes can be made at any time!\n\nCombine all this with integrations into your other business software and you have a tool that makes collaborating with coworkers and manufacturers easier than ever before.\n[ ](https://www.youtube.com/watch?v=hifUYQdYGJI)\n\n**🙏 Ask: How you can help**\n\n* Connect us to engineers, procurement managers, or supply chain teams in your network! Email [emir@forgehq.com](mailto:emir@forgehq.com)\n* Check us out and book a demo at [forgehq.com](http://forgehq.com)\n* Share this post!",
        "url": "https://www.ycombinator.com/launches/KEb-forge-procure-hardware-and-control-spend-on-one-platform",
        "votes": 47,
        "created_at": "2024-01-23T19:41:15.869Z"
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        "full_name": "Emre Gucer",
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        "full_name": "Metehan Öz",
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        "id": 79085,
        "title": "Fume - AI SWE that solves bugs within Slack",
        "tagline": "A Slack bot that you can assign software tickets and get full PRs in response",
        "body": "**TL;DR** You can tag @Fume under any feature or bug ticket in Slack. Fume will make a plan, write code, and submit a PR in minutes. [**Try it now! No waitlist. No 'contact sales'.**](http://fumedev.com)\n\nHey folks! We are [Emre](https://linkedin.com/in/aegucer) and [Mete](https://linkedin.com/in/metehan-oz-a39981251). We’re currently building Fume to automate the boring parts of developing software. Before that, we were roommates in high school and partners in crime, building fighting bots.\n\n![uploaded image](/media/?type=post&id=79085&key=user_uploads/1573638/314fd0c9-7a62-4aa6-9e91-6d29c4cec454)\n\n### 💥**Problem**\n\nNot every software task requires human creativity. Some are just boring and have to be done. Engineers end up procrastinating on them at the cost of user experience. On the other hand, doing them costs companies thousands of dollars every year.\n\n### 🤩 **Not Anymore**\n\nFume automates mundane software work like fixing bugs, error logs, or minor features through Slack. A non-technical team member can send screenshots & reproduction steps for a bug and an engineer can tag @Fume to solve it within minutes without opening a code editor.\n\n![uploaded image](/media/?type=post&id=79085&key=user_uploads/1573638/85ea9b9a-969c-4552-9e19-e1437d3f5d55)\n\n### 🙏 **Our Ask**\n\nGive Fume a try right now! Go to [fumedev.com](http://fumedev.com) and enjoy the free trial. If you think you are not ready to start using Fume, tell a friend about it 😉\n\nIf you are in a larger organization but want to try Fume in your team, contact me at [emre@fumedev.com](mailto:emre@fumedev.com). ",
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        "votes": 508,
        "created_at": "2024-03-05T21:32:54.482Z"
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    "name": "renderlet",
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    "website": "http://renderlet.com",
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    "long_description": "renderlet is a framework that makes it easy to develop interactive applications.\r\n\r\nBuilding applications with high-performance graphics is very hard – existing tools are cumbersome and aren’t truly platform agnostic, leading to frequent rework. \r\n\r\nWith renderlet, developers can write high-level code to describe 2D and 3D graphics without having to use low-level, platform-specific APIs.\r\n\r\nrenderlet automatically compiles graphics code to WebAssembly and embeds a portable rendering engine inside any app, enabling graphics to safely and automatically render on any platform’s GPU.\r\n\r\nOur runtime is open-source: https://github.com/renderlet/wander",
    "one_liner": "Build interactive applications that run anywhere",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1708655277,
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      {
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        "full_name": "Sean Isom",
        "title": "Founder/CEO",
        "founder_bio": "Sean is the Founder of renderlet. He previously built Developer Platforms at Adobe as a Lead Engineer and Sr. Engineering Manager, building the core infrastructure that powers apps like Photoshop and Acrobat. He has over a decade of technical experience in browsertech and real-time graphics and is currently involved in standardization efforts for WebAssembly’s WASI GPU support.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/isom",
        "x_url": "https://twitter.com/theisomizer",
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      {
        "id": 79415,
        "title": "renderlet: Making graphics programming easy",
        "tagline": "Write graphics code that automatically runs anywhere",
        "body": "**Building interactive graphics is really hard**. Developers need expert-level knowledge of GPU programming just to build code that is not portable to new environments such as Web or Mobile or reusable across applications.\n\nRenderlet is a WebAssembly framework for **writing graphics code that runs anywhere**. Describe your graphics pipeline using a **higher-level abstractions** and use renderlet to generate low-level, cross-platform rendering code.\n\nWith renderlet, developers can easily embed GPU-accelerated 2D and 3D graphics into cross-platform applications.\n\n![uploaded image](/media/?type=post&id=79415&key=user_uploads/1759368/4ce27e3c-1c68-456d-a0bd-eedd272c1712)\n\n## How it works\n\nWith renderlet, **we compile graphics to portable WebAssembly modules** and provide a runtime that abstracts away the underlying GPU architecture to the code.\n\nDevelopers can take advantage of modern technologies like **WebGPU** without having to learn the intricacies of yet another standard. 2D and 3D graphics are fully decoupled from the application and device and can ship decoupled from the applications code in a format that **runs anywhere**.\n\nRenderlet is:\n\n* A **compiler** that takes a high-level specification of your graphics pipeline - including custom assets, functions, and libraries - and builds self-contained WebAssembly rendering modules\n* A  **renderer**, _wander_, that embeds into any application on any platform that and safely runs rendering modules with the GPU\n* A **visual editor** that makes it easy to build entire graphics and visualization pipelines out of reusable rendering modules\n\n**Anybody should be able to build interactive applications** without having to be a graphics programming expert.  \n\n## About Us\n\n[Sean Isom](https://linkedin.com/in/isom) previously built developer platforms at Adobe as a Lead Engineer and Sr. Engineering Manager. He helped bring products to the cloud and web using tools like WebAssembly and is currently involved in standardization efforts for WebAssembly GPU support.\n\n![uploaded image](/media/?type=post&id=79415&key=user_uploads/1759368/36bcf46c-edd6-4b90-9124-45c3c81ec64b)\n\n## What’s next?\n\nOur cross-platform rendering engine, **wander**, is open source: <https://github.com/renderlet/wander/> \n\nWe’re kicking off with a **live demo** today of renderlet at Wasm I/O!  <https://2024.wasmio.tech/sessions/paint-by-numbers-high-performance-drawing-in-wasm/> \n\nWant more info on cross-platform graphics? **Get in touch**! - [sean@renderlet.com](mailto:sean@renderlet.com) ",
        "url": "https://www.ycombinator.com/launches/Ket-renderlet-making-graphics-programming-easy",
        "votes": 36,
        "created_at": "2024-03-15T16:53:22.280Z"
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    "id": 29503,
    "name": "Dragoneye",
    "slug": "dragoneye",
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    "website": "https://dragoneye.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Dragoneye helps devs build their custom video detection models in less than 5 minutes. These models can then be used to power apps and features that use images and videos. No more arduous process of annotating any training data or doing any machine learning work themselves.\r\n\r\nTry out our demo today at https://playground.dragoneye.ai/ !",
    "one_liner": "Custom video detection models in less than 5 minutes",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1705986923,
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      "AI",
      "ML"
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    "batch": "Winter 2024",
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    "url": "https://www.ycombinator.com/companies/dragoneye",
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    "city": "New York City",
    "country": "US",
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        "user_id": 818332,
        "full_name": "Alex Liao",
        "title": "Founder/CEO",
        "founder_bio": "Building computer vision so every app can see the world. \n\nex-Jane Street, ex-Facebook, UPenn Physics and CS\n\n",
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      {
        "id": 95768,
        "title": "Dragoneye: Production video detection models in <5 minutes",
        "tagline": "Build zero-shot video models quickly with 0 training data",
        "body": "![uploaded image](/media/?type=post&id=95768&key=user_uploads/818332/27d779bf-8574-4d51-adbe-d69a806e6d0b)\n\nHey YC! I’m Alex, founder of Dragoneye. \n\n**I want to share with y’all the launch of our new interactive Playground, which allows you to build your own custom video detection models in under 5 minutes.**  \n\n![uploaded image](/media/?type=post&id=95768&key=user_uploads/818332/51fa21e6-bc13-41ad-8f9e-03947fd50b7a)\n\n# **The Problem:**\n\nVideo detection models are incredibly useful. Analyzing security camera footage, ensuring PPE compliance, monitoring production lines. \n\nBut it’s always been hard to build video detection models. Thousands of hours of videos that need to be annotated. You train the model only to find that it doesn’t perform as well as you need it. Really cool ideas that never get to prototype, never mind released in production. Crucial features that take tens of thousands of $$ to trial and months to implement. \n\n# **Our Solution:**\n\nOur new Playground allows you to build and deploy production-ready video detection models in less than 5 minutes, enabled by our powerful zero-shot models.\n\nTo get started:\n\n1. Upload a video\n2. Describe the categories of items you want to detect in your video\n3. The model streams the predictions and you can preview it on your video\n4. Iterate on your categories till you’re set. \n\nOnce you’re happy with your model, you can save it out and it’s live! To make it easier to integrate with your apps, we have libraries for Python and Node.js, with more languages to come.\n\nCheck out the Playground at https://playground.dragoneye.ai/ to get started. You can follow our step by step guide below as well!\n\nhttps://youtu.be/2rhKBO4N7B0\n\nWe can’t wait to see what you build! 🙂 ",
        "url": "https://www.ycombinator.com/launches/Oue-dragoneye-production-video-detection-models-in-5-minutes",
        "votes": 11,
        "created_at": "2025-11-25T16:18:04.833Z"
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      {
        "id": 85450,
        "title": "Dragoneye - More detailed object detection than Google and Amazon!",
        "tagline": "We offer vision object detection for 13k+ classes right out of the box.",
        "body": "Hey YC! I’m Alex, founder of Dragoneye. \n\n**I want to share with y’all the launch of our object detection platform, which can recognize 40x more classes than Amazon Rekognition and 20x more than Google Vision across a wide range of categories.** \n\n![uploaded image](/media/?type=post&id=85450&key=user_uploads/818332/45a1bd0a-16f7-4061-9c0e-ebd5a586450f)\n\n# **The Problem:**\n\nYou’re building a new feature that relies on the ability to recognize things in camera or photos. But all of the off-the-shelf APIs today don’t get the detail you need. You don’t just need to know it’s a dress, but that it’s a checkered short-shift dress! \n\nYou look into how to train your own computer vision model, but you soon realize what a daunting task it is. There are thousands to millions of photos to collect, and it takes weeks of time. What can you do?\n\n# **Our Solution:**\n\nWe want to have the best visual recognition API out there, and enable devs to build powerful vision-driven features in a pinch.\n\n**What we’re focused on:**\n\n* **Latency** - our fastest models can detect objects in 12ms\n* **Detail** - 13,000 different classes over 25 categories now, and we aim to get to 100,000+ by the end of 2024\n* **Implementation ease** - under 10 lines in Python & JS and a simple REST API\n\nSeeing is believing - pun intended - so here is our side-by-side comparison with Google’s Vision API and Amazon’s Rekognition\n\n![](https://bookface.ycombinator.com/media/?type=post&id=85450&key=user_uploads/818332/aa480801-a466-48a9-89a4-1e0bbb8fc9e7)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=85450&key=user_uploads/818332/f6058fa7-c804-4c68-a282-9faab8873005)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=85450&key=user_uploads/818332/4c0c954f-c1c0-4382-8d3d-9998404b461d)\n\n# **Our Ask**\n\n1. Try out our instant demo at <https://dashboard.dragoneye.ai>. We know we have some bugs to squash, so please let us know what works great and what doesn’t. \n2. [Book a meeting with us](https://calendly.com/dragoneye-cal/intro-call) if you have computer vision/object detection needs - coffee is on us!",
        "url": "https://www.ycombinator.com/launches/MEE-dragoneye-more-detailed-object-detection-than-google-and-amazon",
        "votes": 13,
        "created_at": "2024-11-11T18:54:56.008Z"
      },
      {
        "id": 79474,
        "title": "Dragoneye - Computer vision for every developer",
        "tagline": "We automate the entire process for building computer vision, allowing developers to get custom vision recognition models from just a model spec.",
        "body": "![uploaded image](/media/?type=post&id=79474&key=user_uploads/818332/3b1dd109-a001-41f9-a1a8-39e46badb5a5)\n\n**TLDR:** [**Dragoneye**](https://dragoneye.ai/) helps developers use computer vision without needing to bring any of their own training data or do any CV/ML work themselves.\n\n## Demo\n\n<https://www.youtube.com/watch?v=opRMn48z9dM>\n\n## ❓The problem\n\nGetting data from images today is hard. LMMs allow you to get started quickly but have capability limitations and are slow. On the other hand, building your own vision recognition models requires a ton of time and a ton of expertise.\n\nI learned this firsthand when I tried to build my own fashion outfit**\\-**matching app a few years ago. What started as coding a fun consumer app was quickly taken over by the challenges of building custom image models - annotating data, model evaluation, training, deployment, etc. Before long, I realized that I was basically building a computer vision startup - literally!\n\n## ✨ Our solution\n\nDragoneye enables developers to build and use cutting-edge CV models simply by specifying the model spec.\n\n**Specification → Working Model Automagically:** After specifying the model, Dragoneye’s systems scurries away to find the best implementation strategy and then builds it for you!\n\n**Continuous Improvement:** In the background, Dragoneye constantly keeps the models and tech at the cutting edge so you keep getting the best performance without any work on your end at all.\n\n**Grows with your need:** As your needs grow, we grow with you. Simply update your model specification, and Dragoneye will figure out how to make it work best.\n\n## 🙏 Ask\n\nWe just opened up our self-service feature. [Sign up on our site](https://dragoneye.ai/) for access!\n\nAlso, we’d love to hear what you want to build with Dragoneye - please email me at [alex@dragoneye.ai](mailto:alex@dragoneye.ai)!\n\n![uploaded image](/media/?type=post&id=79474&key=user_uploads/818332/dc0fc2db-02eb-44be-99dc-c79bdc7721cd)\n\n",
        "url": "https://www.ycombinator.com/launches/Kfq-dragoneye-computer-vision-for-every-developer",
        "votes": 49,
        "created_at": "2024-03-18T18:59:47.892Z"
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        "full_name": "Stan Girard",
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        "title": "Quivr launch 5,000 Vector databases on Supabase.",
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        "title": "🧠 Quivr: Open source, chat-powered second brain with 28k+ ⭐",
        "tagline": "We help enterprises build chat assistants connected to their data.",
        "body": "Hey guys! [Stan Girard](https://linkedin.com/in/stanislas-girard), [Brian Laleye](https://linkedin.com/in/brian-laleye-31433386), and [Antoine Dewez](https://linkedin.com/in/antoine-dewez-367774157) here — best friends for 20+ years, GenAI geeks, and co-founders building [Quivr](https://www.quivr.app/)!\n\n**TL;DR:** **Quivr** is an **open source RAG framework with 28k+ Github 🌟**, connected to company data. For example, companies use us to deploy an HR chatbot for their employees.\n\n<https://www.youtube.com/watch?v=jvNYWiXvkds>\n\n### **❌ Problem: Searching in company’s information takes 20% of employee’s time**\n\nEmployees tend to find themselves in at least one of these situations in a week:\n\n* Need urgent information from an unavailable colleague.\n* Are always asked for the same information\n* Don’t know where to search the information they need\n\n❗ **Worse, they don’t even know if the information exists in the company**\n\n### **And decisions proceed despite bad information**\n\n**💢 Impacts:**\n\n* Decisions can be made without having the relevant information\n* Simple tasks are executed asynchronously while waiting for the answer\n* Information doesn’t travel across teams\n\n### **✅ Solution: Quivr is an AI open-source platform where enterprises connect their tools, docs, APIs, and databases to chat with them.**\n\nEffortlessly retrieve any available information and let Quivr generate new usable content.\n\nFor example, Quivr enables them to:\n\n* Automatically write an email without making an effort to provide context.\n* Extract actionable information from a huge database.\n* Summarise an endless document to get its essence.\n\n### **🧠 How it works:**\n\nThe app can be deployed to the [**cloud**](https://quivr.app/) or [**self-hosted**](https://github.com/stangirard/quivr) on existing infrastructure to answer any data privacy concerns.\n\n* Create Brains that connect to:\n  * APIs\n  * Databases\n  * Documents\n  * Tools\n* Ask a question to:\n  * A specific Brain\n  * All your Brains and let Quivr find the best one\n* Chat with your answer\n\n### **🔨 The Founding Team**\n\nWe’re 3 French guys (with a good accent) who have been friends, coworkers, founders, and open-source enthusiasts! Before starting Quivr, **Brian** co-founded two companies with one exit & grew in less than a year a new division to 1M in revenue in his previous company. **Antoine** graduated from La Sorbonne with a focus on history and political science before transitioning into engineering. He was the first front-end developer at a company that saw a 15-fold increase in GMV over two years. **Stan** is a DevOps Expert & Engineering Manager turned Head of GenAI in a web dev agency with $100M of turnover while leading the GenAI Thought Leadership of the group.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78445&key=user_uploads/1620232/b8cedb2f-7b07-4e8c-9dd3-a49afaa0f451)\n\n### **🙏 Ask**\n\nWe’d love to be introduced to a friend or colleague who works in a company of 100+ people and has issues finding information.",
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    "launched_at": 1715707959,
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        "answer": "Both Adam and I both have strong conviction that legal services ought to be more accessible. We believe the current system is broken on both sides of the marketplace. Lawyers are bogged down by a variety of tasks which can and should be automated while their clients are encumbered with large legal costs arising from said tasks. We strongly view legal access as the core recipe for a functional and equitable society and believe that technology has a large role to play in getting us there. We interviewed hundreds of lawyers and found that there are many salient pain points being experienced by in-house legal teams which we’re well-equipped to solve given our in-depth backgrounds in software engineering and AI research."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "When Tower truly succeeds, all lawyers will be able to focus on tasks which they attended law school for, such as advising their clients and applying their nuance to strategic matters. They will no longer have to waste their day performing low-value-add tasks such as searching through precedents or handling admin work. Clients, from the largest corporations down to the individual, will have access to quality legal services at affordable costs as legal professionals are freed from the tyranny of mundane work."
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        "full_name": "Adam Dorfman",
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      {
        "user_id": 1791443,
        "full_name": "Andy Zhang",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andy-z/",
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        "title": "Tower - collaborative AI for due diligence",
        "tagline": "We help deal teams collect the right disclosures faster and automate review.",
        "body": "Hi YC,\n\nWe’re Adam, Andy, and Noah - co-founders of Tower ([withtower.com](https://www.withtower.com/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yclaunch&utm_content=launch_page))\n\n## TL;DR\n\nTower is a collaborative AI diligence workspace. We take your DD checklist and messy data room, organize it, flag what’s missing, and let your team query everything with AI - so you spend time on analysis, not chasing information.\n\nWe’re live with AmLaw 50 and Chambers Band 1 law firms, top serial acquirers, and leading commercial real estate diligence teams.\n\n<https://youtu.be/OZn3vZTupGs>\n\n## The Problem\n\nThe hardest part of diligence isn’t reviewing documents - it’s collecting the right information. \n\nDeal teams have no dedicated system for collecting and verifying that disclosures are complete before analysis begins. Instead, they rely on multiple VDRs, Excel trackers, email threads, and one-off AI prompts to figure out what’s been received, what’s missing, and what matters. That process of chasing and structuring information is iterative, time-consuming, and kills deal momentum. \n\nMost AI tools help teams review documents faster. But you can’t review what you don’t have, and you can’t assess risk in documents you don’t know are missing. \n\n## The Solution\n\nTower is the workspace that takes deal teams from first disclosure to answers faster - by fixing collection first, then accelerating review.\n\n**1. Automatically organized data room:** Upload anything, get a fully indexed deal room in minutes. Click any diligence request and see the exact files behind it.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/0ac92ee3-6a92-4b0f-8d35-176aa978f693)\n\n**2. Catch red flags and missing files up front:** Missing amendments, unsigned agreements, stale financials, and expired contracts are flagged within seconds of upload, before anyone wastes review time.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/0e556183-5997-4b8f-b5a1-72fbd4b38bca)\n\n**3. AI document review:** Extract covenants, financial definitions, change-of-control triggers, and rep language across hundreds of documents in one pass. Every answer cited to source.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/36914b9b-402a-4ce1-b78e-b1b3bd0341ab)\n\n**4. Smart diligence Q&A:** Every request, every responder, every status, in one live system, synced with the data room. No more \"what's the latest tracker?\" email threads.\n\n## The Backstory\n\nOur team spent years on the wrong end of messy data rooms - burning weeks organizing and chasing disclosures before real review could begin. We watched deals stall and sour because of it. Tower is the system we wished we had on every one of those deals. \n\nNoah is a former M&A and tech lawyer at Dentons, where he co-led the AI industry practice and advised top Canadian startups. Andy was an ML quant at a $27B pension fund and founding engineer at NRN Agents. Adam was an early engineer at one of Canada's fastest-growing fintechs, and worked on data science in manufacturing at Apple.\n\n## Our ask\n\n* Warm intros to M&A partners at AmLaw 200 firms, corp dev leads at PE/strategics, and CRE acquisitions teams.\n* Working on a deal? Book a demo with us.\n\nLearn more at [withtower.com](https://www.withtower.com/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yclaunch&utm_content=launch_page), or reach us directly at [founders@withtower.com](mailto:founders@withtower.com)\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/5afe8369-4d10-42cd-bc56-ccc6b999a6d8)\n\n",
        "url": "https://www.ycombinator.com/launches/QLM-tower-collaborative-ai-for-due-diligence",
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        "created_at": "2026-05-13T01:11:54.537Z"
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    "long_description": "1. You explain your problem.\r\n2. Kater identifies the most important data questions to ask.\r\n3. Kater writes the code.\r\n4. You get insights in seconds rather than weeks.\r\n\r\nKater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs.\r\n\r\nKater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework.\r\n\r\nYvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft.  \r\n\r\n\r\nData is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data. ",
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        "full_name": "Yvonne Chou",
        "title": "Founder/CEO",
        "founder_bio": "Yvonne is the co-founder and CEO of Kater. She graduated from UC Berkeley. Previously, she was a data engineer at Crexi, where she built the data infrastructure from the ground up. She has 8+ years of experience working in analytics teams for companies like Kaiser Permanente, Tapcart, and Crexi, where she supplied data to all dashboards for sales, marketing, finance, and executive management. ",
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        "full_name": "Robin Seitz",
        "title": "Founder/CTO",
        "founder_bio": "Robin is the co-founder and CTO of Kater. He graduated Magna Cum Laude from UCLA. Previously, he worked at companies such as Microsoft, Abbott and Paragon as a Software Engineer. He has 8+ years of experience working in different software engineering disciplines, including distributed systems, full stack engineering and big data.",
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      {
        "id": 78970,
        "title": "Kater: Ask data questions in plain English",
        "tagline": "Drive business outcomes with an AI analyst that organizes, understands, and remembers all the nuances of your company's data.",
        "body": "# TL;DR\n\nInstead of Slacking the data team and waiting 4 days for an answer, use [Kater](https://www.kater.ai) to get the answer in 30 seconds. We make it possible for executives to understand **why** business outcomes occur, and even alert them **before** the outcomes happen again.\n\n### 👋 Hey Everyone\n\nWe’re [Yvonne](https://linkedin.com/in/yvonne-chou) and [Robin](https://linkedin.com/in/robin-seitz-12029970). We have over 9 years working in data teams for companies like Microsoft, Kaiser Permanente, Crexi, and Abbott. \n\n![Image preview](https://media.licdn.com/dms/image/D5622AQGHB0qqGa37Lw/feedshare-shrink_800/0/1706126655985?e=1714608000&v=beta&t=A02VD99wTGip0YSLOWtEg55JqcFoX8mbfK3Tu-PUryU)\n\nAs data people, **80%-90% of our time** was dedicated to low-level data requests. When really, the true business value of data comes from answering the **“why”** questions.\n\nThat’s why we started [kater.ai](http://kater.ai) — we are committed to automating these low-level questions, and empowering everyone in a company to answer “why” business outcomes occur. **These are the million dollar questions that fundamentally change how businesses operate, and ones they’ve historically never been able to address.**\n\n### 🤔 Why Can’t Companies Answer “Why” Questions?\n\n**The existing enterprise data operation workflow is unscalable.**\n\n1. Data teams receive **10-15** adhoc requests per day\n2. Companies spend on average **$10.5 million/year** in data analyst salaries\n3. Data is extremely **messy**\n\n### 👨‍💼📊 Meet Butler: Your AI Data Agent\n\n**The solution:**\n\nButler is an AI agent that organizes the chaos of data.\n\nWe found a new way to **auto-document your data team’s tribal knowledge through generating a data map.** Butler indexes and searches the data map using a AgentMesh Framework.\n\n**Butler helps generate hypotheses, writes the queries to validate those hypotheses, and finds any insights from the queries.**\n\n### 🧠 Butler Continuously Learns\n\nWe use a combination of RAG and GenAI to capture any feedback users give to support future context for Butler.\n\n![butler](https://docs.kater.ai/assets/images/waiter-6e843699197199c6685ab6d5c536f743.png)\n\n[A 30-second Demo:](https://youtu.be/hiF-F0W61Dw)\n\n### 🔗 The Set Up Process:\n\n1. Simply **connect** Kater’s website to your data warehouse.\n2. We’ll **auto-generate descriptions** for all your tables and columns, and immediately start building the **data map** for you.\n3. After you verify the data map is correct, in **less than 10 minutes**, you can start asking questions about your data and training Butler.\n\n### 🙏 Our Ask\n\nWe currently support connections with Snowflake, Bigquery, and Microsoft SQL Server. If you have any of these (of even if you don’t, we can build a connector in 1 hour) and want to be able to query your data using English, reach out to us at [support@kater.ai](mailto:support@kater.ai)!",
        "url": "https://www.ycombinator.com/launches/KXi-kater-ask-data-questions-in-plain-english",
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        "created_at": "2024-03-01T23:07:40.847Z"
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    "subindustry": "B2B -> Infrastructure",
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        "founder_bio": "Aditya Maru is the co-founder & co-CTO of Blacksmith. Before starting Blacksmith, Aditya worked at Cockroach Labs. At Cockroach he was a senior engineer on a core database team responsible for implementing disaster recovery solutions. This was where he gained his deep systems knowledge. Aditya graduated from the University of Waterloo with a degree in Computer Science.\n",
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        "title": "Staff Systems Engineer",
        "url": "https://www.ycombinator.com/companies/blacksmith/jobs/SQOublb-staff-systems-engineer",
        "location": "New York City",
        "type": "Full-time",
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        "location": "New York City",
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        "url": "https://www.ycombinator.com/companies/blacksmith/jobs/BPACuuV-head-of-finance",
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        "url": "https://www.ycombinator.com/companies/blacksmith/jobs/n9wkH7k-head-of-capacity",
        "location": "SF / NYC",
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        "url": "https://www.ycombinator.com/companies/blacksmith/jobs/zj2xFJ8-enterprise-product-manager",
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        "url": "https://www.ycombinator.com/launches/KYf-blacksmith-run-your-github-actions-2x-faster-at-half-the-cost",
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        "id": 109582,
        "title": "Founding GTM Hire",
        "url": "https://www.ycombinator.com/companies/yarn-2/jobs/1IwKJEI-founding-gtm-hire",
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        "id": 78573,
        "title": "✨ Yarn – Make pro-quality product and sales videos with AI",
        "tagline": "Creating a Yarn takes minutes, no video experience required.",
        "body": "**tl;dr:**\n\n* [Yarn](https://www.yarn.so/) lets anyone - founders, salespeople, or marketers – create pro videos in minutes.\n* Teams are using Yarn for sales collateral, launch videos, use-case demos, training guides, and feature updates for Twitter and LinkedIn.\n* [Book a 15 minute demo](https://calendly.com/jasper-yarn/yarn-demo)\n\nWe're Jasper and Nicole. Jasper used to make ads for Google and Nicole is a former quant/particle physicist. Now, we're on a mission to let anyone create great video shorts for work.\n\n![uploaded image](/media/?type=post&id=78573&key=user_uploads/1156578/aaa64aca-cfe0-4625-a108-e078c37ad82d)\n\n---\n\n---\n\n—\n\n## **Great videos are too hard to make**\n\nVideo is the most compelling medium for sales and marketing: on LinkedIn, [videos are shared 20x more](https://www.linkedin.com/business/marketing/blog/social-media-marketing/how-to-grow-your-organic-following-on-linkedin) than any other post type. But making videos is still way too hard:\n\n* **Legacy video editing workflows take 1-4 hours to make even short videos** – you'll chain together multiple tools, and your videos will be hard to update, reuse, or personalize.\n* **Self-recording a compelling 60-second video is almost impossible** – and your prospects won't watch your 4-minute Loom. Some tools add fancy effects, but these can distract from your product, your story, and your brand.\n* **Agency videos are super-expensive and go out of date immediately** – save the $10k+ and weeks of email back and forth for your splashy Series A announcement.\n\n—\n\n## **How does Yarn work?**\n\n* **Yarn uses AI** to help you make videos like Notion or Linear.\n* **No video experience required** – you make and edit your video like a doc.\n* **Voiceovers are all AI magic** – choose from a library voice or match your own – so it's easy to tweak, reuse, and personalize.\n* **Everything looks great out of the box** and is branded specifically for your startup. \n* **Add founder video intros** for when the personal touch matters.\n\n[Yarn Demo (made in Yarn)](https://www.youtube.com/watch?v=r2EnVL2P0_M)\n\n—\n\n## **How are teams using Yarn?**\n\n* DriverAI (W24) is building per-role sales demos as they sell into Fortune 500.\n* Replo (S23) is making new marketing content faster than ever.\n* Forge (W24) is creating sales collateral to transform procurement for rocket companies.\n* [Example: Introducing Abel (00:58)](https://www.yarn.so/v/Introducing-Abel-sNlnxSF4aG1IlgOhwm0ggZqI)\n* [Example: Driver AI (1:01)](https://www.yarn.so/v/Driver-AI-Demo-0kuSVcD2t1FaWHS0PvYTz7zl)\n\n—\n\n## **How do I get access?**\n\n[Book a 15 minute demo](https://calendly.com/jasper-yarn/yarn-demo) or email [jasper@yarn.so](mailto:jasper@yarn.so) to try Yarn with your team.",
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        "tagline": "AI teams use Reprompt to evaluate and improve their apps without code",
        "body": "**tldr:** Productionizing AI apps is hard. [**Reprompt**](https://repromptai.com/) lets teams evaluate and improve their apps without code and get to production quality 10x faster.\n\n### **90% of Generative AI pilots never make it to production**\n\nGenerative AI applications are notoriously hard to scale to production quality:\n\n* Hallucinations are hard to detect and fix\n* Function calling is a huge opportunity but still hit-or-miss\n* RAGs aren’t as scalable as we hoped, and often they find the wrong documents\n* AI responses can become a legal and compliance liability\n\n![uploaded image](/media/?type=post&id=79428&key=user_uploads/89898/2b3dd321-4e55-48ad-8771-3f2c0526107c)\n\n### **Getting to production takes more than great prompt engineering**\n\nBehind the scenes of every great product (Uber, Doordash, Waymo, Robinhood) there's an ops team with a dashboard full of if statements and data overrides that keeps the whole company from collapsing.\n\nFrom what we’re seeing, AI apps will require similar tuning, using strategies like Human-In-The-Loop, custom overrides, multi-queries, and prompt splitting/routing.\n\n### **Reprompt helps AI teams fix “last mile” AI issues so they can ship faster**\n\nHere’s what you can do with Reprompt:\n\n1. Trace your AI calls across chat, RAG, and function calls to make debugging easy\n2. Automatically track and highlight hallucinations and file them as bugs\n3. Write custom prompt overrides to handle the edge cases **without changing your main prompt or pushing code**\n\n![uploaded image](/media/?type=post&id=79428&key=user_uploads/64967/5434ca4f-a3ef-4085-966d-b7a4fbf43f87)\n\n### **About the team**\n\n[Lukas Martinelli](https://linkedin.com/in/lukas-martinelli) was an Engineering Director and GM of Search at Mapbox. He also led Mapbox's 120-person labeling and evaluation team.\n\n[Rob Balian](https://linkedin.com/in/robbalian) led Robinhood's Growth team through Covid, Gamestop, and IPO. He was an early PM at Facebook.\n\n![uploaded image](/media/?type=post&id=79428&key=user_uploads/64967/808fb8ba-68a8-476e-ab28-c744d4acf70d)\n\n_Rob Balian and Lukas Martinelli_\n\nIf your team has challenges getting to production-level quality, we’d love to [show you a demo](https://cal.com/robbalian/reprompt-demo-with-rob). See you all in production!\n\n\\-Rob and Lukas",
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        "title": "GetCrux: AI Creative Strategist to Launch Winning ads",
        "tagline": "The 10X way to run ads: find what works and make on-brand creatives in minutes",
        "body": "Creatives are the #1 lever to optimize and scale performance while running ads on Meta, Google, TikTok or any paid media channel.\n\nYet, most growth and creative teams don’t have a data-driven process to iterate on creatives.\n\nThere’s no clear answer for:\n\n* Why do some ads work and others don’t?\n* What are the top objections and concerns users have?\n* What angles and concepts are working for my competitors?\n* How do I learn from these insights and make ads faster?\n\nSo we built the **AI Creative Strategist** that helps you iterate faster and launch winning ads.\n\nhttps://www.youtube.com/watch?v=bLOutqGo4wU\n\nThis is how teams run their creative process with GetCrux:\n\n1. **Surface Insights:** AI watches every ad, finds patterns across creatives, tells you what works and why\n2. **Learn from the Market:** Learns from competitor ads, comments, reviews, and comes up with new angles\n3. **Execute at Lightning Speed:** Converts insights into on-brand and compliant creatives and auto-publish to ad platforms\n\nWe connect with all your data sources:\n\n1. **Ad Platforms** (Meta, Google, TikTok, YouTube, Pinterest, Snapchat, Display, App Campaigns, Applovin, TradeDesk, Inmobi, Criteo, Atari)\n2. **1st Party Data Sources** (Snowflake, Tableau, Metabase, Looker)\n3. **Attribution, MMPs or 3rd Party Tools** (AppsFlyer, Adjust, etc.)\n\n\\\nGrowth and creative teams from large publicly listed enterprises to some of the fastest growing startups, including YC companies iterate 10X faster, and have even scaled 2X at a 10% lower CAC with our ads.\n\nWe’re one of the best teams working on this problem:\n\n* Backed by senior execs from Google and Meta\n* Our 1st product was acquired by one of the largest ad agency\n* Building AI tools for marketers for over 3 years now\n* Best AI engineers from IITs (top 0.01%) with avg age of 23!\n\nIf you’re a growth, paid social, or creative team that wants to iterate faster, we would love to chat. [Talk to the founders](https://calendly.com/atharva-getcrux/30min).",
        "url": "https://www.ycombinator.com/launches/O5K-getcrux-ai-creative-strategist-to-launch-winning-ads",
        "votes": 220,
        "created_at": "2025-07-30T22:43:03.859Z"
      },
      {
        "id": 86823,
        "title": "GetCrux: AI Creative Strategist to Launch Winning Ads",
        "tagline": "Stop guessing which ad creatives work and find winning patterns that reduce CAC",
        "body": "# **TL:DR;**\n\nCreatives have become the biggest lever on ad platforms. Yet, there is no clear way to figure out WHY something works. You end up guessing and replicating the best performing ad, only to see it fail - high CAC & wasted budget. \n\nOur AI Creative Strategist:\n\n1. **Finds patterns that you miss**: by analysing 1000s of creatives (down to the last pixel) and their performance data\n2. **Builds a winning playbook**: which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Recommends what to launch next:** with a detailed creative brief that you can execute instantly\n\n[Talk to us](https://calendly.com/atharva-getcrux/30min) if you want to bring structure & intelligence to creative testing.\n\n<https://www.youtube.com/watch?v=2h5HhhrUUAM>\n\n# **Some ads work. Most don’t. Why?**\n\nPicture this. \n\nYou finally find a winning creative and you replicate it - make 5 variations. But almost all of them fail - high CAC and wasted $ on production.\n\nWhy? _Because you didn’t really know WHAT made the ad work!_\n\nCreatives have 100s of moving parts and it’s impossible to find patterns manually. So most marketers make an educated guess, which often leads to unpredictability & low hit rate.\n\n**Guess what works —> Low hit rate —> Poor CAC + wasted $ on prod**\n\n# **Launch winning ads with our AI Creative Strategist**\n\nThe best marketing teams approach creative testing like an assembly line. We make this process simpler:\n\n1. **Find patterns that you miss**: \n\n   We go into the depths of every creative - be it an image or a video and break it down into 100s of elements. This is combined with the performance data from your ad account to find what works\n2. **Build a winning playbook**: \n\n   Every brand needs a playbook, a checklist that becomes the guiding principle of creative testing. We help you create this in terms of which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Get recommendations on what to launch next:** \n\n   Based on the patterns found + your brand’s playbook, we come up with a detailed creative brief every week that helps the creative team ship out ads faster than ever\n\nHere are a few examples of questions & hypotheses we answer:\n\n![uploaded image](/media/?type=post&id=86823&key=user_uploads/852875/b96d8dc6-556b-465a-8f09-bd4b049b78de)\n\n# **Who does this work for?**\n\n* Combined ad spend across platforms > $500,000 per year\n* Mid-high creative testing volume i.e. more than 20-25 per month\n* Good enough historical data i.e. more than 6 months running ads\n\n# **How to work with us?**\n\n[Have an intro chat](https://calendly.com/atharva-getcrux/30min) and figure out if you think it could be a good fit for you.\n\nWe are trusted by several Y Combinator startups, large ad agencies in the US with $3B+ spend and brands from a variety of sectors including health and wellness, financial services, jewellery, among others.",
        "url": "https://www.ycombinator.com/launches/MaN-getcrux-ai-creative-strategist-to-launch-winning-ads",
        "votes": 128,
        "created_at": "2025-01-14T16:46:04.071Z"
      },
      {
        "id": 84654,
        "title": "getcrux: AI Copilot for Performance Marketing",
        "tagline": "Optimize Google & Meta Ads with insights & recommendations from our AI Ads Specialist.",
        "body": "# **TL;DR**\n\ngetcrux helps performance marketers running ads on Google & Meta to optimize for better performance with instant answers & actionable insights. Marketers are overburdened with manual, repetitive tasks like debugging technical issues and tracking campaigns, which leaves no time for planning and executing experiments. With getcrux, they can take the right action at the right time and exceed their performance targets. Watch our demo [here](https://www.youtube.com/watch?v=shohyPZB3sk).\n\n# Why is this a problem?\n\n1. Google & Meta’s combined ad revenues have crossed $350B in 2023, and over 90% of this ad spend is wasted (i.e., shown to audiences that are irrelevant/non-intent )\n2. Performance marketers are struggling to meet performance targets consistently because of changes in platform algorithms, rising competition, and, most importantly, inefficient operations\n3. On average, a performance marketer spends 70-80% of their time doing operational, repetitive tasks like debugging technical issues, creating 10s of reports, and following up with design and compliance teams. They are hardly left with any time to think of the next strategy and execute experiments\n\n# Our Solution\n\nAn AI Ads Specialist that helps performance marketers find the right answers, uncover hidden opportunities, and take the right action at the right time.\n\nHere’s how getcrux can help:\n\n* Get answers to all your questions instantly\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/8ccaeb39-21b8-43e3-a59f-59dca6689054)\n\n* Proactive insights that tell you what’s wrong before it’s too late\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/2cd7ee25-06e5-47e8-b689-6016093b7a6a)\n\n* Surfacing hidden opportunities & recommending actions\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/ae875ea3-8396-4d06-b789-ffea36cecb1a)\n\n# How effective is this?\n\nWe have been working with performance marketing teams of brands & ad agencies that manage more than $3B+ of ad spend.\n\n[Here’s](https://www.getcrux.ai/blog/getcrux-helped-in-saving-18k-month) how we recently helped an ad agency achieve a 2% uplift in performance and saved $18,000 last month for one of their accounts.\n\n# How did we land here?\n\n* The 3 of us started getcrux right after college nearly 2.5 years ago and have known each other for more than 7 years now. We’ve been through more than 15 pivots before shaping getcrux to its current form.\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/93a8e554-4195-40d9-b318-354f462e39a1)\n\n_Our team at our newly inaugurated office in Bangalore, India._\n\n* Our history with performance marketing dates back to 2022, when we were building ‘Google Ads for Web3’ to help games built on decentralized networks acquire users. Since traditional channels don’t work for web3 projects, there was a need for a predictable and trackable way of marketing.\n* ⁠When we got into YC in W24, we were trying to build a general-purpose AI Copilot for analytics but soon realized that most of our customer demand was coming from performance marketers. So, we decided to focus our attention ONLY on performance marketers.\n* Our vision is to make data analysis faster, accessible, and explainable for every non-technical user. Imagine Glean AI but for structured data.\n\n# Our Ask\n\nWe’re looking to get our product into the hands of as many performance marketers as possible. If you know someone who fits this criteria, please help us get in touch with them. Drop a DM or email at [atharva@getcrux.ai](mailto:atharva@getcrux.ai).\n\nCriteria: Anyone who runs ads on Google & Meta\n\n* Performance marketers running ads for their brand\n* Founder/CMOs running ads on their own\n* Ad agency founders and freelancers running ads for clients",
        "url": "https://www.ycombinator.com/launches/M1O-getcrux-ai-copilot-for-performance-marketing",
        "votes": 210,
        "created_at": "2024-10-10T13:51:00.229Z"
      }
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    "id": 29516,
    "name": "Million",
    "slug": "million",
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    "website": "https://million.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Remember the first time you hit  and your code actually worked? Something that didn't exist before, now alive on your screen.\r\n\r\nToday, coding agents can do that, orders of magnitude faster. But their verification is shallow at best. The faster agents generate code, the wider the gap grows. Nothing verifies software at the speed agents ship code.\r\n\r\nWe believe verification unlocks long-horizon coding agents: agents that run for days and prove their work as they go.",
    "one_liner": "Tools for agent verification",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1703896590,
    "tags": [
      "AI"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
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      "Engineering, Product and Design"
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      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/million",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/million.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/millionco",
    "x_url": "https://x.com/milliondotjs",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 1524896,
        "full_name": "Aiden Bai",
        "title": "Founder/CEO",
        "founder_bio": "i'm a huge web performance + react internals nerd",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aidenbai",
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        "user_id": 1159798,
        "full_name": "Nisarg Patel",
        "title": "Founder",
        "founder_bio": "working on million.dev",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nisargptel",
        "x_url": "https://twitter.com/nisargptel",
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      {
        "id": 78916,
        "title": "Million Lint – Grammarly for performance",
        "tagline": "A VSCode extension that identifies slow code and suggests fixes. ",
        "body": "Hey YC! I’m [Aiden](https://twitter.com/aidenybai), founder of [Million](https://million.dev/) — we’re building a tool that helps fix slow React code. Here is a quick demo: [ ](https://www.youtube.com/watch?v=k-5jWgpRqlQ&ab_channel=AidenBai)\n\nFixing web performance issues is hard. Every developer knows this experience: we insert console.log everywhere and catch some promising leads, but nothing happens before \"time runs out.\" Eventually, the slow/buggy code never gets fixed, problems pile up on a backlog, and our end users are hurt.\n\nWe started Million to fix this. A VSCode extension that identifies slow code and suggests fixes (like Grammarly, for performance!) The website is here: <https://million.dev/blog/lint> \n\nI realized this was a problem when I tried to write an optimizing compiler for React in high school (src: <https://github.com/aidenybai/million>). It garnered a lot of interest (14K+ stars) and usage, but it didn't solve all user problems.\n\nTraditionally, devtools either hinge on full static analysis OR runtime profiling. We found success in a mixture of the two with dynamic analysis. During compilation, we inject instrumentation where it's necessary.\n\nFrom there, the runtime collects this info and feeds it back into VSCode. This is a great experience! Instead of switching around windows and trying to interpret flamegraphs, you can just see it inline with your code.\n\nWe are still in the very early days of experimentation! Million Lints focuses on solving unnecessary re-renders right now and will move on to handling slow-downs arising from the React ecosystem: state managers, animations, bundle sizes, waterfalls, etc. Our eventual goal is to create a toolchain that keeps your whole web infrastructure fast, automatically - frontend to backend.\n\nIn the next few weeks, we're planning to open source (MIT) the Million Lint compiler and the VSCode extension. \n\nTo earn a living, we will charge a subscription model for customized linting. We believe this aligns our incentives with yours: we only make money when we make your app faster.\n\nWe'd love to know your thoughts – happy to answer :)",
        "url": "https://www.ycombinator.com/launches/KWq-million-lint-grammarly-for-performance",
        "votes": 27,
        "created_at": "2024-02-29T20:35:04.594Z"
      }
    ]
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    "name": "RetailReady",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Every time workers in a warehouse box an order, they reference a 100 page manual with instructions like where to put the shipping label. RetailReady replaces the instruction manual with a tablet application.",
    "one_liner": "An AI-powered supply chain compliance engine",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1705423924,
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      "Compliance",
      "Logistics",
      "Supply Chain",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "If retailers receive a non-compliant order, they issue a chargeback to brands. On average, 3% of a brand’s gross invoice amount is deducted due to chargebacks, resulting in an estimated $40B worth of retailer chargebacks per year. We realized this problem after leading warehouse operation shifts together and witnessing first-hand that shipping compliance was not tracked nor enforced systemically, but rather done by manually following 100+ page retailer requirement documents. "
      }
    ],
    "url": "https://www.ycombinator.com/companies/retailready",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/retailready.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/retailreadyai/",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1327498,
        "full_name": "Elle Smyth",
        "title": "Founder",
        "founder_bio": "Elle is the Co-Founder of RetailReady, which she started with Sarah Hamer. An engineering graduate from Duke University, she worked at BlackRock and Stord prior to becoming an entrepreneur. She is driven by immense curiosity and a love for solving complex problems in the supply chain industry. ",
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        "user_id": 1751827,
        "full_name": "Sarah Hamer",
        "title": "Founder",
        "founder_bio": "Sarah graduated as an industrial engineer from Georgia Tech, was very involved in GT's entrepreneurship community and started her career at Microsoft. After a few years she missed the crazy, fast-paced startup life, and made the switch to Stord – a unicorn supply chain software startup. It was there that she saw retail compliance pain points first hand, met her co-founder, and decided to start RetailReady.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sarah-hamer-881bb6126",
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    ],
    "jobs": [
      {
        "id": 77573,
        "title": "Full Stack Software Engineer ",
        "url": "https://www.ycombinator.com/companies/retailready/jobs/wEGXWv4-full-stack-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $170K",
        "equity_range": "0.05% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Flask",
          "React",
          "React Native",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 80508,
        "title": "Full Stack Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/retailready/jobs/KfkyR7c-full-stack-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
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        "salary_range": "$6K - $10K / monthly",
        "equity_range": "",
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      },
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        "id": 100511,
        "title": "Implementations",
        "url": "https://www.ycombinator.com/companies/retailready/jobs/bFcgIe4-implementations",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "0.02% - 0.06%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114412,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/retailready/jobs/t8UKFKF-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $110K",
        "equity_range": "0.03% - 0.08%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      }
    ],
    "news": [
      {
        "title": "YC grad, RetailReady raises $3.3M for an AI warehouse app that hopes to save brands billions | TechCrunch",
        "url": "https://techcrunch.com/2024/06/12/yc-retailready-warehouse-shipping/",
        "date": "Jun 12, 2024"
      }
    ],
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      {
        "id": 78869,
        "title": "📦 RetailReady - Automating supply chain compliance",
        "tagline": "Digitizing warehouse processes from 100+ page manuals to a mobile app.",
        "body": "We’re [Sarah](https://linkedin.com/in/sarah-hamer-881bb6126) and [Elle](https://linkedin.com/in/ellesmyth) and we’re excited to launch [RetailReady](https://www.retailreadyai.com/)!\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/58c8581b-0fa1-40eb-8b25-f3a638e32261)\n\n# \n\n# **⏪ Backstory**\n\nBefore we joined YC, we worked at a supply chain unicorn startup called Stord where our jobs involved making their warehouse shipping facility run efficiently. While we were there, we realized that operations still largely relied on paper to pack an order correctly. Let me explain what actually happens in the warehouse when you order something from Walmart…\n\n# **🎯 TL;DR**\n\nEvery time workers in a warehouse box an order, they are supposed to reference 100+ page manuals that include precise packing instructions like where to put the shipping label. It’s not practical for warehouse workers to check the manuals on every order, and thus mistakes happen. These mistakes result in hefty fines, amounting to $40B annually! RetailReady’s mobile application replaces the paper manuals, making it easy to stay compliant and mitigate these fines, without any training time or integrations required.\n\n# 🔍 **Problem**\n\nRetailers (e.g. Walmart, Amazon, Target) outline unique shipping requirements for brands (think Dove, Hanes, Stanley) through 100+ page manuals called routing guides. If retailers receive a non-compliant shipment such as incorrect label placement, they issue brands a compliance violation fee, called chargebacks.\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/3c7c8568-5137-44f9-bd62-b58db6a1e27e)\n\n_An example from page 227/399 of Walmart’s guidelines…_\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/24f203b7-3b94-4fb4-a5f7-36aa04afaa1e)\n\n_…And how these shipping guidelines manifest on the warehouse floor today_\n\nOn average, 3% of a brand’s gross invoice amount is deducted due to chargebacks, resulting in an estimated **$40B worth of retailer chargebacks per year.**\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/0a42156f-e506-4efd-83a2-1ba958617c96)\n\n_A subsection of violation fees outlined in a retailer routing guide_\n\nOn the flip side, when retailers receive these orders from brands, their warehouse team also uses their own printed routing guides to determine whether or not a shipment is compliant, and then manually enter associated fines into a spreadsheet. 10-12% of all orders retailers receive are deemed non-compliant and **require 2X the labor time**.\n\n# **🦾 Solution**\n\nRetailReady is the ultimate retail compliance solution for all stakeholders, requiring no training time or integrations.\n\n**Third-Party Logistics (3PLs):** Our user-friendly mobile application ensures operational shipping compliance to retailers. Our software ingests retailer routing guides and translates them into step-by-step workflow tasks while providing a visual repository of every order for dispute resolution. \n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/7a4fe104-9286-477a-acc9-5876923aad93)\n\n**Brands:** Our dashboard offers insights into your or your 3PL's operations, allowing you to upload chargebacks. This data enhances our model, tailoring your packing process with extra validation checks.\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/d292d505-6763-4b3b-8d1d-778251eaa478)\n\n**Retailers:** Our retailer mobile app automatically detects and records shipping compliance errors from vendors, speeding up revenue generation and increasing labor efficiency. \n\n# **👋Our Ask**\n\n* If you know any brands / 3PLs that are struggling with retailer compliance or retailers that are struggling with vendor compliance, we’d love warm intros! Email us at [founders@retailreadyai.com](mailto:founders@retailreadyai.com) \n* If you are a brand / 3PL / retailer that is interested in our solution, [schedule](https://cal.com/retail-ready) a demo with us!\n* Are you or do you know a rockstar software engineer? Fill out [this](https://forms.gle/fWxHBTn9ovmQen328) form! We’ll be looking to hire a founding engineer in the coming months.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/retailreadyai/) for weekly blog posts!",
        "url": "https://www.ycombinator.com/launches/KW5-retailready-automating-supply-chain-compliance",
        "votes": 138,
        "created_at": "2024-02-28T21:32:30.260Z"
      }
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    "id": 29519,
    "name": "Forge Rewards",
    "slug": "forge-rewards",
    "former_names": [
      "Forge",
      "Forge Rewards",
      "Forge"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c135eee2915601bd39910219334c34b2549944a0.png",
    "website": "https://www.joinforge.app/",
    "all_locations": "San Francisco, CA, USA",
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    "one_liner": "Starbucks app for restaurants",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1710184013,
    "tags": [
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      "Food Tech",
      "AI"
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    "nonprofit": false,
    "batch": "Winter 2024",
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/forge-rewards",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/forge-rewards.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
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    "founders": [
      {
        "user_id": 1751413,
        "full_name": "Ethan Chang",
        "title": "Founder/CEO",
        "founder_bio": "Changing how restaurant run, prev Stanford\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/changethan",
        "x_url": "https://twitter.com/ethchang20",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c92832085b90dda455f6d4c10b2e97ac39acbae.jpg"
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      {
        "user_id": 1757853,
        "full_name": "Isaac Kan",
        "title": "Founder",
        "founder_bio": "Studied CS at Stanford and interned at Stanford Med, building CNN models. I'm now a co-founder of Forge, where we're transforming how restaurants build their brand and online presence.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/isaackan",
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    "launches": [
      {
        "id": 79288,
        "title": "Forge Rewards: The Starbucks app for  your restaurant brand",
        "tagline": "We connect any restaurant with their community by making loyalty accessible.",
        "body": "**TL;DR: Forge makes premium, white-labeled loyalty apps for leading restaurant brand – think a Starbucks app for your own restaurant.**\n\nHey everyone! We’re [Ethan](https://www.linkedin.com/in/changethan/) and [Isaac,](https://www.linkedin.com/in/isaackan/) and we’re building [Forge](https://www.linkedin.com/company/forgerewards)[.](https://www.forgerewards.com/) Our journey started as roommates at Stanford where we worked on ad-branded contraceptives, AI-generated Spotify playlists, and exploring new restaurants in Palo Alto. Today, we’re on a mission to enhance customer relationships through restaurant loyalty, and have 300+ partners including Chubby Group, Liuyishou Hotpot, and Daeho Dining.\n\n**The Problem**\n\nIn high school, Ethan saw firsthand, while helping manage a 3 location Korean corndog shop, that local mom-and-pop restaurants struggle with building digital presence and customer retention; since they fail to acquire and retain repeat customers; while losing 30% to third-party delivery apps and big corporations.\n\nOn the other hand, publicly-trading mega-corporations like Starbucks and Domino’s are well equipped with teams of in-house engineers that spend $MM’s every year to  control their customer’s dining journey with their technology.\n\n**Our Solution: Forge, the Starbucks app for your brand.**\n\nForge brings this sophisticated technology to any restaurant brand, white-labeled at a very low-cost. We want to level the playing field for any restaurant to compete with these conglomerates, so we make premium loyalty apps that include Amex-like status, tiers, points, membership subscriptions, in-app orders, and a whole suite of AI-powered marketing tools.\n\nThis has already resulted in stronger customer relationships, new revenue, recurring revenue streams, and increases in both average customer spend and visit frequencies with over $60M in new revenue redirected to our partners, 3x increased visits, and over 500,000 active users across our apps!\n\n**Our Asks**\\\nIf you want to join the Forge family or know any restaurant brands or places you’d like to see us help out with loyalty, email us at [founders@forgerewards.com](mailto:founders@forgerewards.com)!\n\n![uploaded image](/media/?type=post&id=79288&key=user_uploads/1751413/c3b552ae-0b80-4348-a327-9af31ca1d871)\n\nEthan and Isaac (at HE&amp;C Wagyu Garden)",
        "url": "https://www.ycombinator.com/launches/Kcq-forge-rewards-the-starbucks-app-for-your-restaurant-brand",
        "votes": 44,
        "created_at": "2024-03-11T22:33:36.865Z"
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    "name": "Marr Labs",
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    "website": "https://www.marrlabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Marr Labs is making AI-voice agents that are indistinguishable from humans. Han and Dave previously created speech tech company Vlingo that powered the first Siri app and was acquired for $225M. \r\n\r\n\r\nNow they are taking voice to the next level by making AI-voice agents that can handle virtually any phone-based job, from answering calls to schedule appointments to call center sales and support jobs—all at a fraction of the cost of a human agent.\r\n \r\n\r\nIn the US alone, businesses handle 17 billion calls a year at an average cost of $5 per call–an $85 billion addressable market. ",
    "one_liner": "AI-voice agents that are indistinguishable from humans.",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709760702,
    "tags": [
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      "Conversational AI",
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    "batch": "Winter 2024",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/marr-labs",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/marrlabs",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 1753162,
        "full_name": "Dave Grannan",
        "title": "Founder/CEO",
        "founder_bio": "Dave is the co-founder and CEO of Marr Labs. Previously, Dave was the founding CEO of speech recognition company Vlingo that provided speech recognition for the first Siri products and was acquired for $225M by Nuance Communications. Dave was also Chairman of the Board of NLP and speech recognition company Maluuba that was acquired for $160M by Microsoft. Prior to founding Marr, Dave was co-founder and CEO of machine vision company Light, acquired by John Deere.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/grannan",
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      {
        "user_id": 1758036,
        "full_name": "Han Shu",
        "title": "Founder/CTO",
        "founder_bio": "Han is the co-founder & CTO of Marr Labs, an AI/ML pioneer and 2X entrepreneur. As co-founder of Vlingo(acquired by Nuance for $225M), he built Speech Recognition & Natural Language Understanding stacks, and supplied ASR to Siri. As co-founder of Wyth(acquired by Airbnb), he developed mobile personal assistant technology for collaborative productivity applications. Han led the ML and AI groups at both Airbnb and DoorDash. Han holds PhD, MEng, and BS degrees from MIT, and 25 patents.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hanshu",
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      {
        "id": 84434,
        "title": "Marr Labs' Vox: AI-Voice Agent for Mortgage Lenders",
        "tagline": "Human-like interactions from “Hello” to “Goodbye,” with seamless warm transfers to live agents",
        "body": "### **TL;DR**\n\nMarr Labs launches [Vox Mortgage](https://www.marrlabs.com/), an AI voice agent built for the mortgage industry. It offers instant lead engagement and warm transfers to live agents. Vox increases lead conversion, streamlines pre-qualification, and integrates with your CRM while meeting regulatory standards.\n\n### **The Problem**\n\nAs interest rates change, demand for mortgages fluctuates dramatically. Mortgage lenders need to have a crystal ball to predict the exact timing of these moves and hire well ahead of a spike in demand. If that spike doesn’t come, money is wasted hiring and training unneeded staff. If hiring is not done early enough, then revenue is left on the table when the mortgage lender cannot service the demand. \n\n### **The Solution**\n\nAt Marr Labs we just announced the launch of Vox Mortgage, an AI voice agent designed specifically for the mortgage industry. Vox enables mortgage lenders to contact borrowers in milliseconds, offering human-like interactions and rapid lead engagement. The AI voice agent’s standout feature is its warm transfer capability, ensuring a smooth handoff from AI to live agents, increasing conversion rates and minimizing call abandonment.\n\nVox Mortgage was created to address two crucial challenges in the mortgage industry: speed and seamless customer experience. Not only does Vox engage leads within milliseconds, but our warm transfer technology ensures a smooth transition to live agents, enhancing the borrower’s experience and boosting conversion rates.\n\nBest of all, Vox Mortgage has unlimited scalability, allowing mortgage lenders to easily scale to make or receive as many calls a day as needed–all with no fixed costs. \n\n### **Warm Transfers for Seamless Handoffs**\n\nOne of Vox’s key features is its warm transfer capability, which enables a seamless handoff to live agents once a borrower is pre-qualified. This ensures that no leads are lost during transitions, maintaining a natural flow of conversation and maximizing conversion opportunities. Take a listen to a [live Vox Mortgage call](https://www.youtube.com/watch?v=N9r3f8_jT68). \n\n### **Accelerating Lead Conversion in Mortgage Lending**\n\nVox connects with prospective borrowers in milliseconds, allowing lenders to be the first to reach leads after they submit online forms. This first-mover advantage significantly improves lead conversion rates, helping lenders stay ahead of the competition.\n\n### **Seamless Integration and Compliance**\n\nVox integrates effortlessly with lenders’ existing CRMs, telephony, and loan origination systems. It can also be customized to meet industry compliance requirements, ensuring all communications are secure and meet regulatory standards.\n\n### **About Marr Labs**\n\nMarr Labs is a pioneer in AI-driven voice solutions, offering human-like, scalable interactions for a variety of industries. Marr Labs’ flagship product, Vox, helps businesses streamline processes, improve customer engagement, and boost operational efficiency. For more information, visit marrlabs.com.",
        "url": "https://www.ycombinator.com/launches/Lxq-marr-labs-vox-ai-voice-agent-for-mortgage-lenders",
        "votes": 18,
        "created_at": "2024-10-01T19:11:54.255Z"
      },
      {
        "id": 79214,
        "title": "Marr Labs – AI-voice agents that are indistinguishable from humans",
        "tagline": "Task-specific agents for roles like scheduling, sales, customer service and more",
        "body": "At [Marr Labs](https://www.marrlabs.com/) we are building task-specific AI-voice agents for roles like scheduling, sales, customer service, and more. \n\nThe first product is the Vox Scheduling Agent targeted at the Home Services Industry where every lost call is a lost revenue opportunity. For contractors, plumbers, electricians, and other service providers, voicemails and phone tag not only frustrate customers but also lead to lost business. Take a listen to a [live Vox call](https://youtu.be/UWaAL1MSOZ8).\n\nThis is our second time building a company together. We first met over a decade ago and partnered to create Vlingo, the speech tech company that powered Siri and created Samsung's Siri competitor, S-Voice before being acquired for $225M. Now, with the development of LLMs, we are creating an entirely new platform that can take original voice agents like Siri from robotic to human, which will be a game changer. \n\n### Who we are\n\n![](https://lh7-us.googleusercontent.com/-AwmvtFLk5FeSIqonC6pVDxXXtLv2coqWQVDaeHpPQ4xtM9q7g914FmOccVi3KKmc4GU5GYgE1eceKXxXvylEkMBFh1dq8nCcrwAdd4qXRh4GsN0lBuQ_sYu85e2LYEEuC5mkpy2EmJvoC-tQDQzAyk)\n\n[Dave](https://www.linkedin.com/in/grannan/) is a 4x startup CEO with a track record pioneering AI/ML solutions from concept to commercialization. In addition to Vlingo, Dave co-founded and served as CEO of Light, a machine vision company rooted in ML, before its acquisition by John Deere. He also led the mobile middleware company, Geoworks. Dave holds an MBA from Haas School of Business at UC Berkeley and is a US Marine Corps veteran.\n\n[Han](https://linkedin.com/in/hanshu) is an AI/ML pioneer and 2X entrepreneur. In addition to Vlingo, Han was a co-founder of Wyth (acquired by Airbnb) where he developed mobile personal assistant technology for collaborative productivity applications. Han led the ML and AI groups at both Airbnb and DoorDash. Early in his career, he led BBN's winning effort for a large-vocabulary Mandarin Chinese system, part of the Hub-5 speech recognition evaluation sponsored by NIST and DARPA. Han holds Ph.D., M.Eng., and B.S. degrees from MIT, and over 25 patents.\n\n### Our Ask\n\nIf you have a business where missed calls = missed revenue, give us a try. Email us now to schedule a demo at: [**hello@marrlabs.com**](mailto:hello@marrlabs.com). ",
        "url": "https://www.ycombinator.com/launches/Kbe-marr-labs-ai-voice-agents-that-are-indistinguishable-from-humans",
        "votes": 42,
        "created_at": "2024-03-08T18:25:50.274Z"
      }
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    "id": 29524,
    "name": "Coval",
    "slug": "coval",
    "former_names": [
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    "website": "https://coval.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Coval is a simulation & evaluation platform for autonomous AI agents, helping engineers launch dependable assistants across chat, voice, and other modalities. \r\nWe simulate thousands of scenarios engineers don't have to manually test their agents. Our CI/CD evaluations automatically simulate and detect regressions.",
    "one_liner": "Simulation & Evaluation that scales voice and chat AI agents",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1725341816,
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    "status": "Active",
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    "url": "https://www.ycombinator.com/companies/coval",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/covaldev",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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      {
        "user_id": 1019731,
        "full_name": "Brooke Hopkins",
        "title": "Founder",
        "founder_bio": "Building evaluation for AI agents, previously led eval infra at Waymo 🚙",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bnhop",
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      {
        "id": 92828,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/coval/jobs/sFLtjLc-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$110K - $350K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 92854,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/coval/jobs/ILkSK7r-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $300K",
        "equity_range": "0.01% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "React",
          "Distributed Systems",
          "Data Modeling"
        ]
      },
      {
        "id": 92860,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/coval/jobs/ITTPluu-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $250K",
        "equity_range": "0.01% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "React",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 110904,
        "title": "Deployment Strategist",
        "url": "https://www.ycombinator.com/companies/coval/jobs/OcJmxbg-deployment-strategist",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115250,
        "title": "Business Development Representative ",
        "url": "https://www.ycombinator.com/companies/coval/jobs/KAYIxhg-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 116078,
        "title": "Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/coval/jobs/tZSJGPI-solutions-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$180K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      }
    ],
    "news": [
      {
        "title": "What It Actually Takes to Deploy a Voice Agent to a Fortune 500",
        "url": "https://www.youtube.com/watch?v=eSm_9tb5ZbY",
        "date": "Jun 24, 2026"
      },
      {
        "title": "Coval raises $28M to make better voice agents",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2026/06/24/coval-ai-voice-agents-enterprise",
        "date": "Jun 24, 2026"
      },
      {
        "title": "Coval evaluates AI voice and chat agents like self-driving cars | TechCrunch",
        "url": "https://techcrunch.com/2025/01/23/coval-evaluates-ai-voice-and-chat-agents-like-self-driving-cars/",
        "date": "Jan 23, 2025"
      }
    ],
    "launches": [
      {
        "id": 83700,
        "title": "Coval - Simulation & Evaluation for AI Agents",
        "tagline": "Ship AI agents faster with a simulation and evaluation platform for chat and voice assistants.",
        "body": "Teams are racing to market with AI agents, but slow manual testing processes are holding them back. Engineers currently spend hours manually evaluating and playing whack-a-mole just to discover that fixing one issue introduces another.\n\nAt Coval, we build automated simulation and evaluation for AI agents inspired by the autonomous vehicle industry to boost test coverage, speed up development, and validate consistent performance.\n\nWe have a waitlist, but YC companies go first! Grab some time here: <https://bit.ly/coval-demo>\n\n![uploaded image](/media/?type=post&id=83700&key=user_uploads/1019731/e39b0b4e-22ea-4e62-85a4-d5421cafb7d5)\n\n# **Our Story**\n\nHey! I’m [Brooke](https://www.linkedin.com/in/bnhop/), the founder of [Coval](https://www.coval.dev/). 👋\n\nBefore starting Coval, I led the evaluation job infrastructure team at [Waymo](https://waymo.com/). I coded the first versions of our dataset storage and other foundational simulation systems, and my team built all of the dev tools for launching and running evals.\n\nThrough my conversations with hundreds of engineering teams at startups and enterprises, I've seen that AI agents—models that operate independently and handle complex tasks—are facing similar challenges to those in self-driving. \n\nIn the early days, autonomous vehicle companies relied heavily on manual evaluation, testing the self-driving cars on racetracks and city streets (remember when autonomous cars still had safety drivers?). However, as startups scaled, a significant shift happened: we moved towards simulating every code change in a “virtual” environment, using the vast amounts of data we collected. The new approach dramatically improved vehicle behavior, leading to hundreds of autonomous cars zipping around the San Francisco streets today!\n\nThis story mirrors what's happening today with AI agents across various industries. Teams are coming up with promising prototypes but often hit a wall when it comes to their reliability. \n\nAs we build for the future, where AI agents execute much of our work, ranging from sending emails to prescribing medication, the risks posed by untested systems could severely throttle the progress.\n\nAt Waymo, I developed tools that tested each code modification made by engineers, ensuring that every change improved the Waymo Driver's performance. I believe this methodical approach was key in helping our team address edge cases and maintain peak performance, and it ultimately cemented Waymo's status as a leader in the autonomous vehicle space.\n\nNow, at Coval, we’re taking these proven strategies and adapting them in a completely new way to speed up the development of AI agents. Our goal is to help engineers build agent experiences that genuinely work for users in the real world.\n\nAutomated simulation and evaluation are critical to trusting agents with impactful tasks across industries.\n\n# **Working With Us**\n\nBuilding agents or know someone? Let’s talk! [Grab time with me here](https://bit.ly/coval-demo) for a quick intro, or message me at [brooke@coval.dev](mailto:brooke@coval.dev).",
        "url": "https://www.ycombinator.com/launches/Lm0-coval-simulation-evaluation-for-ai-agents",
        "votes": 81,
        "created_at": "2024-09-03T12:43:30.586Z"
      }
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  },
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    "id": 29533,
    "name": "Indemni",
    "slug": "indemni",
    "former_names": [
      "Alacrity"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5e66c11bb21c9a5ccdcf4a475ed7e48693b41f2b.png",
    "website": "http://www.indemni.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are building a safer supply chain. Cargo Theft has been increasing yearly, and the supply chain industry is urgently looking for ways to solve this. Using experience fighting fraud at the largest delivery marketplaces and logistics tech companies, we are building solutions to stop Cargo Theft and improve profit margins and revenue for warehouses and freight brokers.",
    "one_liner": "Cargo Theft and Fraud Prevention Platform",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1708029636,
    "tags": [
      "Identity",
      "Logistics",
      "Supply Chain",
      "Fraud Prevention",
      "Fraud Detection"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/indemni",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/indemni.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/100487698/admin",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5e66c11bb21c9a5ccdcf4a475ed7e48693b41f2b.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1781891,
        "full_name": "Omar Draz",
        "title": "Founder",
        "founder_bio": "Ex-DoorDash, worked on Fraud, Growth and Logistics. Currently building!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/odraz",
        "x_url": "https://twitter.com/oamdraz",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e414fe2b8469d656aa1c919c6fa00f1366ecccb3.jpg"
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    "jobs": [
      {
        "id": 112115,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/indemni/jobs/97Pl9a9-full-stack-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "0.05% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    "news": [],
    "launches": []
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    "id": 29568,
    "name": "Augment Inc.",
    "slug": "augment-inc",
    "former_names": [
      "CardLift",
      "Augment Inc.",
      "Hire Roger",
      "Roger"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed7adf2496c4443a8cb1ccf4a4aba4e346b8d33c.png",
    "website": "https://augmentinc.co",
    "all_locations": "Austin, TX, USA",
    "long_description": "Capturing the world's economic value.",
    "one_liner": "Everything. All at once.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1720822142,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/augment-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/augment-inc.json",
    "year_founded": 2024,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/augmentbiz/",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1843987,
        "full_name": "Rithwik Pattikonda",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Roger (aka ClawGTM / MoneyPrinter)\n\nPreviously bootstrapped and scaled OctoShop to a $2M+ all cash exit before I graduated college. Bootstrapped TravelArrow to 1.7M+ ARR with $0 marketing spend.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rithwikpattikonda",
        "x_url": "https://x.com/rithwikpat",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/954ea51d50041dc24162470c18bac966ad899777.jpg"
      }
    ],
    "jobs": [
      {
        "id": 85110,
        "title": "Founding Account Executive (Senior – US)",
        "url": "https://www.ycombinator.com/companies/augment-inc/jobs/vgDaU2i-founding-account-executive-senior-us",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $130K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87331,
        "title": "Head of Sales",
        "url": "https://www.ycombinator.com/companies/augment-inc/jobs/yIVxpJW-head-of-sales",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 98298,
        "title": "ClawGTM - OpenClaw for Sales",
        "tagline": "Autonomous agents that research and sell your product 24/7.",
        "body": "**TL;DR:** ClawGTM turns your website URL into an autonomous sales force. Our OpenClaw agents identify your best-fit leads, perform deep contextual research, and start conversations on Email and LinkedIn, all in under 60 seconds.\n\n### **The Problem**\n\nMost founders and sales teams are stuck in a manual loop. You spend hours hunting for leads and stalking LinkedIn profiles, only to send \"personalized\" emails that still feel like templates.\n\nExisting \"AI SDRs\" have made this worse. They've flooded inboxes with generic, robotic spam that prospects have learned to ignore. If your outreach doesn't have **real reasoning** behind it, it’s going straight to the bin.\n\n### **Meet ClawGTM: Your Autonomous GTM Engine**\n\nClawGTM doesn't just \"automate\" emails; it **deploys intelligence**. Built on the viral OpenClaw framework, our agents perform the heavy lifting of a full sales team:\n\n* **Website as a Prompt:** Paste your URL. The agent reads your site to understand your core value prop and target audience.\n* **Hyper-Detailed ICP Filtering:** The agent performs deep, multi-layered filtering to find prospects in specific niches that traditional tools miss.\n* **Job-Based Intelligence:** The agent monitors **hiring patterns** and **leadership changes** to infer what a company is dealing with. If they are hiring for \"Postgres DBA\" or \"Compliance Officer,\" the agent identifies the specific tools they use and the internal hurdles they are currently facing.\n* **Multi-Channel Execution:** Once the niche is identified, it coordinates across Email and LinkedIn with 1-of-1 messaging that reflects your product's specific value.\n\n### **Start Today**\n\nReady to stop \"doing\" sales and start deploying agents?\n\n* **Try it now:** <https://clawgtm.com>\n* **Email us:** rithwik@hireroger.com\n* **Text us:** +1 (469) 328-3769\n\n**You build the product. We’ll find the people who need it.**\n\n![uploaded image](/media/?type=post&id=98298&key=user_uploads/1843987/49dacac4-b93a-4c05-8f3d-24e9ce0ac3b8)\n\n",
        "url": "https://www.ycombinator.com/launches/PZS-clawgtm-openclaw-for-sales",
        "votes": 24,
        "created_at": "2026-02-28T18:16:48.649Z"
      },
      {
        "id": 91648,
        "title": "Roger: The AI Sales Rep That Books You Meetings While You Sleep",
        "tagline": "Let Roger handle your outbound. It finds leads, personalizes messages, and fills your calendar automatically.",
        "body": "Tired of outbound tools that just _send emails_? Roger goes way further.\n\nRoger is your AI sales rep: it finds leads, understands what they care about, and messages them across email + LinkedIn to book meetings. Fully automated, deeply personalized.\n\n![uploaded image](/media/?type=post&id=91648&key=user_uploads/1843987/3a7cc9ac-e768-4954-be4e-57194f4912f5)\n\n⚡ \\*\\*Set it up once. Then forget it.\\*\\*\\\nFounders call Roger their “money printer” because it runs in the background, filling their calendar while they work on product.\n\n🔍 **How it works:**\n\n**1. Finds leads**\\\nRoger deploys agent swarms across 300M profiles, live job listings, and even custom scrapers to turn raw data into targeted prospects.\n\n**2. Understands context**\\\nIt reads company descriptions, roles, and products to deeply understand what each lead actually needs.\n\n**3. Reaches out smartly**\\\nThen Roger crafts personalized messages across email and LinkedIn: like a top-performing SDR, but automated.\n\n**4. Books meetings**\\\nQualified leads get booked straight into your calendar. No chasing. No manual work.\n\n🏆 YC founders, agency owners, and SaaS startups are using Roger to turn cold outreach into warm intros, without lifting a finger.\n\n👉 Try it here: https://hireroger.com/ycl\n\n[https://www.youtube.com/watch?v=oP35TBbndfA](https://hireroger.com%EF%BF%BC%F0%9F%93%A9\\)https://www.youtube.com/watch?v=oP35TBbndfA)",
        "url": "https://www.ycombinator.com/launches/NqC-roger-the-ai-sales-rep-that-books-you-meetings-while-you-sleep",
        "votes": 25,
        "created_at": "2025-06-25T20:14:36.057Z"
      },
      {
        "id": 82885,
        "title": "CardLift - Achieve top-of-wallet status for your credit card program",
        "tagline": "CardLift builds co-branded browser extensions to help credit card issuers maximize their share of wallet ",
        "body": "### **TL;DR**\n\n[CardLift](https://withcardlift.com) builds co-branded browser extensions to help credit card issuers maximize their share of wallet (and, in turn, per-user revenue).\n\n### How It Works\n\nWe build your credit card program a co-branded browser extension. When a user signs up for your card, you can incentivize them to add your extension to their browser. Your users are now 2 - 4x more valuable.\n\n**Migrate Existing Spend**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82885&key=user_uploads/1843987/39dd468e-f9db-4e37-99de-e26e987eb907)\n\nWhen your credit card program onboards a new user, we make it dead simple for them to switch their card-on-file at all of their top online merchants to your card with one click.\n\nOur AI-powered browser extension not only automatically detects where your users spend the most (Netflix, Amazon, T-mobile, Progressive), but also lets them switch out their primary payment method to your card with one click. Users press a button in their browser, and their card-on-file everywhere instantly switches to their shiny new card (your card!).\n\nOffer your users an incentive to make this switch, and watch your per-user GMV transaction volume skyrocket even more.\n\n**Ensure You Continue To Capture Future Spend**\n\nWe don’t just help when a user signs up to your card program. Our fast checkout technology embeds “One Tap Checkout ” on the checkout page at over 50,000 e-commerce sites - making your card the easiest way for users to complete any transaction on their browser.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82885&key=user_uploads/1843987/3b3cd133-188f-4cc5-ae83-acc536f9a3af)\n\nYou can even customize the copy to tell the user why to use your card for that specific purchase. For example, if you were Chase, you could prompt your users to use their Sapphire Preferred card on Avis BECAUSE it offers car rental insurance.\n\n**Make Your Card Program More Rewarding**\n\nFor the final cherry on top, we partner with over 1,000 of the country’s top merchants to offer additional affiliate-based cash back that you can add to your existing cashback. Your users can now earn double or even triple the cash back on Sephora when they use your “One Tap Checkout” button instead of their other cards.\n\n**Full Demo** - [**https://cardvaultco.com/demo**](https://cardvaultco.com/demo)\n\n### About Us\n\nCardLift is founded by Rithwik Pattikonda - serial browser extension entrepreneur who has built some of the world’s largest browser extensions - OctoShop (acquired by NYSE:IBTA) and TravelArrow (300,000+ users). At CardLift, his goal is to bring some of the learnings and insights from his previous consumer browser extensions to financial institutions.\n\n![](https://cdn.discordapp.com/attachments/1212589593891962932/1271520594176905327/image.png?ex=66b7a355&is=66b651d5&hm=1c437c539af419875ef3b0cdef2bccbd3544f95b7a70f6f85caa671749728256&=)\n\n",
        "url": "https://www.ycombinator.com/launches/LYr-cardlift-achieve-top-of-wallet-status-for-your-credit-card-program",
        "votes": 62,
        "created_at": "2024-08-09T15:28:53.226Z"
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    "id": 29569,
    "name": "Miru",
    "slug": "miru-ml",
    "former_names": [
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      "Miru ML",
      "Miru",
      "Miru ML"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f8c54103232ce6ad4a91f33685eeaecbcd4d224.png",
    "website": "https://www.mirurobotics.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Miru makes it easy for robotics teams to manage, version, and deploy robot configurations. Developers use our well-documented APIs and UI components to automate configuration updates for both engineers and operators.\r\n\r\nIn the long term, we're building software infrastructure to accelerate the automation of the physical world.",
    "one_liner": "Config Management for Robotics",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1722117145,
    "tags": [
      "Developer Tools",
      "Robotics",
      "DevOps"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/miru-ml",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/miru-ml.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/miruml",
    "x_url": "https://x.com/mirurobotics",
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    "cb_url": null,
    "github_url": "https://github.com/miruml",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f8c54103232ce6ad4a91f33685eeaecbcd4d224.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 620575,
        "full_name": "Armel Talla",
        "title": "Founder/CEO",
        "founder_bio": "Armel is the Co-Founder and CEO of Miru.\n\nHe graduated from UT Austin with a B.S. in Computer Science and Mathematics. He previously founded Clips AI, an AI video dev tool that automatically repurposes long videos into clips. During college, Armel interned at Google and YouTube, focusing on building internal tools.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/armeltalla",
        "x_url": "https://twitter.com/armelwtalla",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40ee8e8adf3b9d90905f829608ed5f600d2b079b.jpg"
      },
      {
        "user_id": 1035647,
        "full_name": "Vedant Nair",
        "title": "Founder",
        "founder_bio": "Vedant is the Co-Founder and COO of Miru.\n\nHe graduated from UT Austin, where he studied Business and Computer Science. He previously founded Clips AI, an AI video developer tool that automatically repurposed long videos into clips. During college, he interned at Bain & Co. and EY-Parthenon, doing GTM consulting for software companies.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/vedantnair",
        "x_url": "https://x.com/vedantnair__",
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        "user_id": 1521401,
        "full_name": "Benjamin Smidt",
        "title": "Founder/CTO",
        "founder_bio": "Ben is the Co-Founder and CTO of Miru. \n\nHe holds a B.S. in Electrical and Computer Engineering from UT Austin, where he initially spent two years studying Mechanical Engineering, igniting his passion for hardware and robotics. Prior to Miru, Ben founded Clips AI, where he developed production-ready AI models and video processing servers using Kubernetes.",
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        "linkedin_url": "https://linkedin.com/in/benjamin-smidt",
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    "launches": [
      {
        "id": 82564,
        "title": "Miru - Deployment infrastructure for Robotics and IoT 🦾",
        "tagline": "Deploy software updates over the air to fleets of devices",
        "body": "**tl;dr:** Miru helps robotics and IoT teams painlessly deploy software over the air, provision devices, and manage versioning for their fleets.\n\nFor engineers using Miru, _updating software on thousands of devices is as easy as pushing a change to GitHub._\n\n**Our Ask:** Engineers in robotics and IoT, [get started with Miru today!](https://www.miruml.com/)\n\n![uploaded image](/media/?type=post&id=82564&key=user_uploads/1035647/c64f81c9-695b-472e-bab9-5687c4eef19f)\n\n**❌ The Problem**\n\nRobotics and IoT companies don’t have robust, off-the-shelf DevOps tools.\n\nAs a result, to deploy their software, they’re forced to manually SSH/SCP into their devices or build a hacky solution internally.\n\n**But building this infrastructure is costly.** These companies often need to dedicate more than half of their software team to build and maintain their custom internal tools. This balloons engineering costs and decreases product velocity.\n\nIt’s one of the reasons **why many of these companies die.**\n\n**🦾 Miru**\n\nMiru helps engineers build and maintain their deployment pipelines, saving them months of work.\n\nWith Miru, you can:\n\n1. Push changes to GitHub, and let Miru handle building, staging, and deploying your software to your devices across the world\n2. Manage devices and track software versioning on a centralized dashboard\n3. Enjoy obsessive, fast, 24/7 customer support 🫡\n\n**Installation is easy.** If your device already uses Ubuntu, the Miru installation is just one command **🪄**\n\nMiru users have an unfair advantage. They enjoy reliable, scalable, and secure deployments _without all the pain of building it themselves_.\\\n\\\n<https://youtu.be/N0N6R5Gtjx4?si=2P6385myxlbDnB2j>\n\n🧍🏼🧍🏿🧍🏾 **About Us**\n\nHi 👋🏾 - we’re [Vedant](https://linkedin.com/in/vedantnair), [Armel](https://linkedin.com/in/armeltalla), and [Ben](https://linkedin.com/in/benjamin-smidt)!\n\n![uploaded image](/media/?type=post&id=82564&key=user_uploads/1035647/a48e7554-cf3c-493b-b5c7-d8aa5a03eb84)\n\nAfter meeting at our freshman dorm at UT Austin, we instantly clicked and became best friends. Whether we were playing intramural basketball or scaling our previous startup, [Clips AI](https://www.clipsai.com/), to 7000 MAUs in just three months, we've proven we make an exceptional team.\n\nOutside of Clips AI, Armel worked as a software engineer at Google and YouTube, focusing on building internal tools and infrastructure. Vedant brings experience in software GTM consulting from Bain & Co. and EY-Parthenon. Ben, our hardware fanatic, has a background in mechanical and electrical engineering, and he’s built production-ready AI and video processing infrastructure using Kubernetes.\n\nWe’re passionate about a future where robots can free humans from doing the dull, dirty, and dangerous tasks that dominate billions of people’s lives. We founded Miru to provide the infrastructure to accelerate this transition.\n\nWe’re obsessed with solving this problem. If you’re a software engineer in robotics or IoT who is struggling with deployment, we’d LOVE to make your life easier.\n\nJust reach out at \\[vedant\\] @ miruml \\[dot\\] com, or better yet, [start using Miru today](https://www.miruml.com/)",
        "url": "https://www.ycombinator.com/launches/LTg-miru-deployment-infrastructure-for-robotics-and-iot",
        "votes": 235,
        "created_at": "2024-07-30T16:20:31.446Z"
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    "id": 29570,
    "name": "Spherecast",
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    "website": "https://www.spherecast.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Spherecast is building Agnes, the AI Supply Chain Manager for Consumer Goods. \r\n\r\nAgnes decides what to produce, where to make it, and how to move it through factories, warehouses, and channels – simulating thousands of options in seconds and executing the best plan.\r\n\r\nWe are building Agnes to shape the physical flow of goods in the world, turning it into something as programmable as code.\r\n\r\nWhen we succeed, every consumer product you touch will run on the Spherecast stack – planned in the Spherecast OS, executed over Spherecast Rails, and optimized by the shared Spherecast Network.\r\n\r\nOracle turned atoms into bits.\r\nSpherecast turns bits back to atoms, but globally optimized.\r\n\r\nBe part of the next $T company.",
    "one_liner": "AI Supply Chain Manager for CPG",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1721694929,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/spherecast",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/spherecast.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/spherecast-ai/",
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        "user_id": 1600407,
        "full_name": "Leon Hergert",
        "title": "Founder/CEO",
        "founder_bio": "Leon is the Co-founder and CEO of Spherecast (S24). He has worked in supply chain and logistics planning twice (aviation and e-commerce) and is now doubling down on the problem space with Spherecast. He has a background in Information Systems from the Technical University of Munich and Technology Management from CDTM. Besides that, he loves playing basketball.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/leonhergert",
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        "user_id": 1646421,
        "full_name": "Paul Dietrich",
        "title": "Founder/CPO",
        "founder_bio": "Paul always wanted to work on his own projects. After building some small apps as side projects, he co-founded a software agency alongside his studies and scaled it to multiple 100k in total revenue. This helped him sharpen his skill set in full-stack development, design, and entrepreneurship. Now at Spherecast, he's responsible for building a product our customers love.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pauldietrich98",
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        "full_name": "Pascal Schindler",
        "title": "Founder/CTO",
        "founder_bio": "Growing up with an affinity for building, he developed a passion for the intersection of operations, machine learning, and optimization. From building robotics automation at Deadalus (YC W20) to completing his academic research with a focus on non-linear optimization at British Columbia, these experiences led him to pursue his passion as the CTO of Spherecast",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pascal-schindler",
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      {
        "id": 82556,
        "title": "Spherecast – Inventory copilot for multi-channel brands",
        "tagline": "Always know when and how much to re-order",
        "body": "[Spherecast](https://www.spherecast.ai/) is an inventory copilot supporting multi-channel brands with their inventory decisions.\n\n**❌ The problem**\n\nAs soon as brands go multi-channel, e.g. enter a marketplace or are placed at offline retailers, they face new complexities when it comes to planning demand.\n\nBesides that, scaling into multiple channels often entails adding new warehouse locations through the supply chain, be it by sourcing raw materials by yourself or adding FBA as an outbound fulfiller.\n\nThis is accompanied by rising logistics costs and inventory constraints (such as the low inventory level fee of Amazon or expiration date requirements for sales channels).\n\nThe combination of these aspects leaves supply chain managers with a sheer amount of different constraints to handle – often in very large spreadsheets. This leads to inventory distortion costs – the cost of stockouts and overstock – which is a $1.8 trillion USD problem for retailers worldwide.\n\n**✅ The solution**\n\nSpherecast combines demand planning, replenishment and inventory optimization in one platform. We connect to shop systems and ERPs automatically.\n\nWith the platform, brands can automatically get:\n\nA library of machine learning forecasts per product and channel to optimize forecast accuracy combined with a collaborative environment to plan with multiple stakeholders.\n\nReplenishment optimization, considering\n\n* Inbound orders and shipments to any warehouse\n* Outbound (future) send-ins (e.g. to another warehouse)\n* Linear constraints such as dynamic safety stock, target coverage and lead times\n* Non-linear constraints such as MOQ are integrated\n\nWith that, we believe inventory management should transform into inventory optimization for everyone.\n\n**🚀 Our mission**\n\nWe want to create a world where stockouts do not exist anymore. Imagine any product at the right place, at any time — enabled by Spherecast.\\\n\\\n**🙏 Our ask**\n\nIf you happen to know supply chain managers at multi-channel e-commerce brands – we’d love to chat!\n\n* Book a demo [**here**](https://cal.com/leon-hergert) or contact us via [**leon@spherecast.ai**](mailto:leon@spherecast.ai)\n* Tell your network about inventory optimization for e-commerce and share this post\n* Check out our website [**spherecast.ai**](https://www.spherecast.ai/)\n\n![uploaded image](/media/?type=post&id=82556&key=user_uploads/1600407/4201ebec-ac0f-4da5-9057-6476442cae53)\n\n_From left to right: Felix Grote (Founding Business Developer), Pascal Schindler (Co-Founder & CTO), Paul Dietrich (Co-Founder & CPO), Leon Voland (Founding Engineer), Leon Hergert (Co-Founder & CEO)_",
        "url": "https://www.ycombinator.com/launches/LTY-spherecast-inventory-copilot-for-multi-channel-brands",
        "votes": 29,
        "created_at": "2024-07-30T13:53:19.366Z"
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    "id": 29571,
    "name": "Apten",
    "slug": "apten",
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    "website": "https://www.apten.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Apten is an omni-channel AI agent that engages and nurtures leads across text, call, email, and webchat. \r\n\r\nWe help enterprises in consumer services convert more leads.",
    "one_liner": "Omnichannel AI agents that engage leads across SMS, voice, and email",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1715787443,
    "tags": [
      "Sales",
      "Marketing",
      "SMS",
      "AI Assistant"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/apten",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/apten.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/apten",
    "x_url": "https://twitter.com/Apten_AI",
    "fb_url": "https://www.facebook.com/people/Apten/61552046652434/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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      {
        "user_id": 1547400,
        "full_name": "Daniel Ho",
        "title": "Founder/CEO",
        "founder_bio": "Daniel is the Co-founder & CEO @ Apten. Previously a PM at Tesla building systems to automate the detection and chargeback of supplier issues ($XXM in cost recovery / year). Built supply chain analytics at Amazon, Lucid Motors, and Walmart. Studied Economics + Data Science at UC Berkeley. \n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/danielho799",
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      },
      {
        "user_id": 1522706,
        "full_name": "Roshan Kumaraswamy",
        "title": "Founder/CTO",
        "founder_bio": "Roshan is the Co-founder & CTO at Apten.\n\nBefore Apten, Roshan spent three years at AWS building sales planning applications & data platforms to empower the AWS Sales org. Before that, he ideated & built multi-data source capabilities for Flux (language) at InfluxData (YC W13) as one of their first interns, and studied EECS at UC Berkeley for 3 years.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/roshan-kumaraswamy",
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        "id": 80696,
        "title": "Founding SDR",
        "url": "https://www.ycombinator.com/companies/apten/jobs/Wh8L33A-founding-sdr",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$75K - $145K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 83503,
        "title": "Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/apten/jobs/9vu8UGR-software-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $180K",
        "equity_range": "0.20% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 94921,
        "title": "Apten: omni-channel AI agents for B2C sales/marketing",
        "tagline": "Convert more leads across text, call, email, and webchat.",
        "body": "TLDR: Apten is an **omni-channel AI agent** that engages and nurtures leads across **text, call, and email, and webchat.**\n\nWebchat specifically has been around for ages - but when a lead starts a conversation on the website and leaves halfway through, **they’re** **gone.**\n\nApten is not only able to start a conversation through webchat, but **proactively reach out via SMS/voice/email once the lead goes inactive.**\n\nToday, Apten automates sales/marketing for hundreds of thousands of leads each month - we work with some of the largest enterprises in consumer services (industries including home services, healthcare, education, financial services, and insurance).\n\nhttps://www.youtube.com/watch?v=63At2HXNX4k\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, email/sms marketing automation systems to convert new leads.\n\nThese systems fall short because:\n\n* Human teams are required to scale up dialing/call efforts (leads slip through the cracks)\n* SMS/email automations are typically one-way, static sequences without personalization\n\n# **Our Solution**\n\nApten automates sales and marketing for B2C enterprises with:\n\n* **Omni-channel capabilities**: set up a single conversational flow that works across SMS, voice, email, and webchat.\n  * Apten maintains unified memory across SMS, voice, emai, and webchat (just like a human does) to **personalize conversations at scale**\n  * Apten can also **switch between channels** at anytime to **meet a lead where they want to be met**\n  * Move leads through different conversational flows depending on **where they are in the customer/lead journey**\n* **Intelligent follow-up:** Apten will not only personalize follow-ups based on what it knows about a lead or a past conversation, but it will also dynamically adjust **when to follow-up based on a lead’s repsonse**\n  * Personalized AI voicemails can be left on dial attempts that go to an answering machine\n  * Apten is able to use local presence dialing to auto-match the number it dials from to one that best matches the lead’s area code\n* **AI tools:** Apten can take actions with your systems (scheduling, dialers, quote APIs, etc)\n* **Human in the loop:** Handles transfers to your human team at any time (cold or warm). Apten can also dynamically transfer to specific numbers depending on\n* **Reliability:** setup custom guardrails that automatically detect non-compliant messages and proactively fix them before they’re sent to the lead\n\n# **Our Ask**\n\nIf you’re an enterprise that:\n\n* Falls in a consumer services industry (home services, financial services, insurance, education, healthcare, auto, law, etc)\n* Generates a high volume of leads (5k+ leads / mo)\n* Uses marketing automation (drip texts/emails, dialer sequences) + a sales team/call center to engage leads over the phone\n\nWe’d love to chat - you can find us at http://apten.ai.",
        "url": "https://www.ycombinator.com/launches/Ogz-apten-omni-channel-ai-agents-for-b2c-sales-marketing",
        "votes": 14,
        "created_at": "2025-10-27T15:16:24.244Z"
      },
      {
        "id": 91362,
        "title": "Apten: Omni-channel AI Agents for Sales and Marketing",
        "tagline": "Engage and nurture leads across text, call, and email",
        "body": "TLDR: Apten is an **omni-channel AI agent** that engages and nurtures leads across **text, call, and email.**\n\nToday, Apten automates sales and marketing conversations across hundreds of thousands of leads.\n\nIt responds at any time, automatically follows up with personalized messages, and **dynamically switches between channels** to meet leads where they want to be met.\n\nhttps://www.youtube.com/watch?v=3EX6BxpnAVQ\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, email/sms marketing automation systems to convert new leads.\n\nThese systems fall short because:\n\n* Human teams are required to scale up sales operations\n* SMS/email automations are typically one-way, static sequences\n\n# **Our Solution**\n\nBuilt for enterprise, Apten comes with:\n\n* **Omni-channel capabilities**: set up a single conversational flow that works across SMS, voice, and email\n  * Apten maintains unified memory across SMS, voice, and email (just like a human does) to personalize conversations at scale\n  * It also processes existing data/context about leads from your CRM to nurture leads with relevant follow-ups\n* **AI tools:** Give Apten an API, and it will take actions with your systems (scheduling, dialers, quote APIs, etc)\n* **Human in the loop:** Handles transfers to your human team at any time (cold or warm)\n* **Reliability:** includes a native guardrail system that automatically detects non-compliant messages and proactively fixes them before they’re even sent out\n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Generates a high volume of leads (2k+ leads / mo)\n* Uses marketing automation (drip texts/emails, dialer sequences)\n* Is scaling up a sales team\n\nWe’d love to chat with you - you can find us at http://apten.ai.",
        "url": "https://www.ycombinator.com/launches/Nla-apten-omni-channel-ai-agents-for-sales-and-marketing",
        "votes": 5,
        "created_at": "2025-06-17T13:40:44.819Z"
      },
      {
        "id": 87585,
        "title": "Apten - AI SMS + voice agents to convert leads",
        "tagline": "An AI agent that texts & calls in the same way as a human",
        "body": "**TLDR:** We help B2C companies automate sales and marketing with custom AI SMS and voice agents. Apten handles inbound/outbound calls + texts 24/7, automatically follows up at the right time, and syncs with your knowledge base/systems.\n\nHey everyone - we’re Daniel and Roshan, the founders of Apten :)\n\nOver the last 8 months since launching, we’ve helped companies engage tens of thousands of new leads each month.\n\nToday, Apten becomes an AI agent that can both text and call in the exact same way a human does.\n\n<https://youtu.be/3PWHGb96pCE>\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, and automated text systems to convert new leads.\n\nFollow-ups are not personalized or are manually done by humans, and leads do not get immediate responses 24/7.\n\n# **Our Solution**\n\nApten is an AI agent that:\n\n* Handles inbound/outbound texts + calls, 24/7\n* Can switch from SMS to voice (and vice versa) at any time in the conversation\n* Guides leads down customizable conversational flows\n* Takes actions with your systems (e.g. pull in quote premiums from an insurance company’s API)\n* Syncs with your knowledge base to pull in relevant info at any time\n\nWhite glove onboarding/support included for every customer!\n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Generates a high volume of leads\n* Uses SMS or phone calls to engage/follow-up w/ leads\n* Wants to introduce AI into their sales and marketing process :)\n\nYou can find us at [http://apten.ai.](http://apten.ai)",
        "url": "https://www.ycombinator.com/launches/Mmf-apten-ai-sms-voice-agents-to-convert-leads",
        "votes": 6,
        "created_at": "2025-02-11T18:52:47.642Z"
      },
      {
        "id": 81132,
        "title": "Apten 💬📲 - AI SMS agents",
        "tagline": "Apten helps businesses automate communication with customers and leads over SMS text",
        "body": "**TLDR:** We help B2C businesses automate sales, marketing, and customer service through SMS text. Customize Apten, and it’ll **proactively reach out, respond at any time, and never forget to follow up.**\n\nHey everyone - we’re [Daniel](https://linkedin.com/in/danielho799) & [Roshan](https://linkedin.com/in/roshan-kumaraswamy), the founders of [Apten](https://www.apten.ai/)! 👋 \n\n![uploaded image](/media/?type=post&id=81132&key=user_uploads/1547400/595aa8ba-e1da-4e01-b095-a4182f7b1836)\n\n# **The Problem**\n\nBusinesses currently rely on humans or traditional SMS automation (drip texting) to qualify and nurture leads. This applies to both inbound leads (e.g., ad -> website -> fills out contact/quote form and leaves phone number) and the re-engagement of existing leads in a CRM. \n\nExample industries where this happens: real estate, insurance, home services\n\n# **The Solution**\n\nAn AI SMS assistant that qualifies and nurtures leads in a **personable way** while responding 24/7 and automatically following up. \n\n[**https://www.youtube.com/watch?v=iuMYEZ4jYHE**](https://www.youtube.com/watch?v=iuMYEZ4jYHE)\n\nCustomize:\n\n* Apten’s knowledge (FAQs, info about your business, specific instructions/rules)\n* Specific conversation flows and follow-up schedules for **different types of leads**\n\nApten won’t just chat - it’ll **take actions** in a way a human would to help your business by proactively:\n\n* Categorizing/tagging leads based on the conversation\n* Creating notifications based on conditions you define\n* Determining the appropriate time to follow-up based on a lead's response\n\n \n\n![uploaded image](/media/?type=post&id=81132&key=user_uploads/1547400/6db38255-433a-4ddb-9826-20ffd76ebd45)\n\nWe’ll provide white-glove onboarding and support the whole way! \n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Collects phone numbers from leads\n* Employs virtual assistants or a contact center\n* Leverages drip texting campaigns or other SMS automation\n\nWe’d love to [talk to you!](https://calendly.com/daniel-attent/20min)\n\nYou can also email us at [founders@apten.ai](mailto:founders@apten.ai)",
        "url": "https://www.ycombinator.com/launches/L6a-apten-ai-sms-agents",
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        "created_at": "2024-05-28T14:21:44.061Z"
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        "id": 81786,
        "title": "Domu - Building AI agents for collections",
        "tagline": "We automate calls, text and emails for the largest financial institutions in the world",
        "body": "[Domu](https://www.domu.ai/) uses generative AI to automate debt collection interactions for  8 of the 20 largest banks and insurance companies across the Americas. \n\nHi everyone, we are [Nico](https://www.linkedin.com/in/nicolasdiaz27/) and [Camila](https://linkedin.com/in/camilazancanella). We met 5 years ago while Cami was finishing her MBA at HEC Paris and Nico working at his previous AI company, after that, we participated in more than 10 hackathons together, and made 450 sales calls to understand the biggest problems in banking and communications, we realized collections was a real issue. So we decided to start Domu. \\\n\\\nAt Domu, we’ve built probably one of the biggest female teams in the current YC batch, and every day, we wake up with the conviction of helping our clients automate sales calls for collections and insurance sales.\n\n![uploaded image](/media/?type=post&id=81786&key=user_uploads/715385/7d888e91-28b8-433f-a2bf-cb0d0e246cdd)\n\n**🚨 The Problem: Nobody likes to collect debt and it’s too expensive**\n\nVery few people in the world like to make calls to charge people money. \\\n\\\nEnterprises struggle with all the back-office tasks to manage call centers or debt collection agencies due to the volume of clients. Manual processes lead to high operational costs and a lack of scalability.\n\nTake our client, a major insurance company, as an example. They manually contact more than 150,000 customers monthly, which is around 500,000 minutes spent on calls😱. This process also involves capturing data, pulling that data, and analyzing it, which usually results in suboptimal outcomes.\n\n**🫡 The Solution: Automated and personalized communications at scale** \\\n\\\nDomu automates customer interactions using GenAI, reducing the need for extensive operational teams. We automate calls and integrate with channels like SMS, WhatsApp, and emails, and give our customers real-time data to track metrics.\n\n💜  By using Domu, companies can:\n\n* Collect the same as humans in 3 months at 40% of the cost. \n* Improve debt collection and conversion rates.\n* Gain real-time insights about their clients to improve communication.\n\n**📈 Opportunity: The immense potential of our market**\n\nFor every large enterprise with thousands of clients, millions are spent on inefficient communication processes and sales agents. By automating these interactions, Domu can save companies substantial amounts and improve their customer relationships.\n\nIn the US alone, the potential savings in the debt collection sector are enormous, with trillions of dollars at stake. Domu's AI-powered solutions provide a significant opportunity for enterprises to enhance their communication efficiency and effectiveness..\n\n**Get in Touch:**\n\n* **Visit us at** [www.Domu.ai](https://www.domu.ai/)\n* **Emails us:** nick@domu.ai\n* **Chat with us over text:** (954) 445-3188‬",
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        "created_at": "2024-06-27T23:42:48.328Z"
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        "full_name": "Joshua Ramette",
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        "founder_bio": "Josh is the co-founder and CEO at Undermind. He has research experience in gravitational-wave astrophysics (LIGO), particle physics (CERN), atomic physics, and quantum information science. He did his PhD at MIT studying quantum computing architecture design and inventing techniques for generating entangled multi-particle states using atom-light interactions, with 3 patents pending and 6 peer-reviewed publications.",
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        "title": "Founder/CTO",
        "founder_bio": "Tom is the co-founder and CTO at Undermind. He studied physics at Princeton, then did his PhD in quantum physics at MIT. His thesis was recognized by the American Physical Society as one of the top 4 theses in the field of atomic physics in 2022, and he has published 10 papers in the field, including two in Nature and Science. Tom has deep expertise in building and deploying complex systems.",
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        "title": "🔍 Undermind - Radically better search for scientific research",
        "tagline": "Imagine sending a smart colleague to find exactly what you need",
        "body": "# **📝 TL;DR:**\n\n* [Undermind](https://undermind.ai/1) is Google for scientific research. It finds exactly what you need, no matter how complex, using an AI agent.\n* **Try it for free -** [www.undermind.ai](https://undermind.ai/1)\n\n# **———**\n\n---\n\n---\n\n---\n\n---\n\n# **❌ The Problem:**\n\nFinding the right resources to solve problems is crucial for doing impactful research. However, researchers often need to find really complex information, and tools like PubMed and Google Scholar simply aren’t up to the task. They only work for simple, short keyword phrases, and it often takes hours to sift through the (mostly irrelevant) results.\n\n# **✨ Our Solution:**\n\nWe rebuilt search from the ground up to make it work really well for complex questions. Our AI agent mimics how a human researcher carefully discovers information. It spends a few minutes carefully looking through hundreds of papers for you and adapts based on what it finds to uncover everything. Ultimately **Undermind’s results are 10-50x better** than traditional keyword search engines.\n\n![uploaded image](/media/?type=post&id=82132&key=user_uploads/1394068/4ce1e368-67de-47c7-af78-860c088daf7e)\n\n# **⚙️ How to use it**\n\nJust write down your complex research topic, describing exactly what you want, as if to a colleague. After 2-3 minutes, Undermind will give you the precisely relevant articles you need.\n\n![uploaded image](/media/?type=post&id=82132&key=user_uploads/1394068/8b54d81a-70b5-4001-b0a8-2235cf27e4b2)\n\n# **Why we’re doing this**\n\nWe’re scientists ourselves, and we’ve spent a lot of time looking through scientific literature. We’ve personally experienced those “aha” moments - when you realize you could have saved 3 months of work if only you knew about that one paper earlier! So, our goal isn’t to save you a few minutes of searching yourself; it’s to make it easy to find the solutions that can drastically improve your overall research plan and trajectory.\n\n# **——**\n\n# **🙏 Asks**\n\n* Try Undermind now - [www.undermind.ai](https://undermind.ai/1)\n* **Share** this post with anyone you know who reads research - it’s helpful for anyone, from machine learning to biotech, medicine, and engineering!",
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        "full_name": "Peter Marler",
        "title": "Founder/CEO",
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        "title": "Superunit: We automate the most soul-crushing job in background checks",
        "tagline": "Employment verifications, end-to-end.",
        "body": "Hi we’re Peter and Zach from Superunit.\n\n**TL;DR:** Background screeners and banks have used us to process over 70,000 employment verifications. Our platform handles handles phone calls, emails, faxes, and compliance end-to-end.\n\n**❌ Employment verifications are soul-crushing, but necessary**\n\nEvery time someone gets hired, applies for a mortgage, or needs a background check, someone has to verify they actually worked where they said they did.\n\nThis means millions of phone calls per year to HR/payroll/admin departments. Leaving voicemails. Sending emails. Sending faxes (yes, in 2026). Waiting days for callbacks. Calling back. Getting transferred. Leaving more voicemails.\n\nBackground screeners and banks hire armies of people to do this. It's tedious, expensive, and the turnover is bad because the job is mind-numbing.\n\n**💡 What we built**\n\nSuperunit handles employment verifications end-to-end. We do contact research, call HR/payroll/admin departments, navigate phone trees, handle documents, send emails and faxes, and and publish the results back to your ERP.\n\n**🎬 See it in action**\n\n— Watch Ava Do an Employment Verification — \\\n<https://youtu.be/iYKBcB-Y1Vo>\n\n— Check Out the Platform —\\\n[https://youtu.be/Z-s7F7sqbmE](https://youtu.be/iYKBcB-Y1Vo)\n\n**📊 Traction**\n\n* **65% results obtained**\n* **1 business day** average turnaround\n* **40+ customers** - Banks and background screening companies\n* **70,000 verifications processed**\n* **98% conversion rate** from pilot to full time\n* Two **top-10 background screeners signed**; all top 4 background screeners by revenue in active pipeline.\n\n**🔥 What customers say**\n\nOne customer: _\"If I have this technology, we will dominate the field.\"_\n\nA mortgage lender scaled their loan volume **20x** while keeping their verification team at just **2 people** - they avoided hiring 12 additional heads.\n\nAnother said: _\"You were a game-changer when we were in a really tight spot. We were growing quickly and losing customers because we couldn’t meet their expectations.\"_\n\n**🎯 But Why**\n\nWe pivoted a few months after demo day. We had been told by a product leader at Checkr that employment verifications were “soul crushing.”\n\nWe got curious.\n\nWe started building in January 2025, signed our first customer in March, signed a series C customer in April, signed a top-5 screener in September, signed our first mortgage lender shortly after, crossed 10k, then 50k, then 70k verifications processed, with many more to go!\n\n👥 **Team**\n\n[Zach Yellin-Flaherty](https://www.linkedin.com/in/zachary-yellin-flaherty/) - CTO - ex-Stripe, ex-Index, Stanford BS/MS in CS\n\n[Peter Marler](https://www.linkedin.com/in/marler/) - CEO - 2x founder, ex-Facebook, ex-Quantifind, Stanford GSB\n\n**🙏 Our ask**\n\n* Are you doing employment verifications when hiring? Text me\n* Are you bored of people calling your team to get employment verifications? Text me\n* Play golf with people who work at mortgage lenders? Text me!\n\n**Phone:** (518) 207-5511\n\n**Email:** [peter@superunit.ai](mailto:peter@superunit.ai)\n\n👉 [superunit.ai](https://superunit.ai)",
        "url": "https://www.ycombinator.com/launches/PLS-superunit-we-automate-the-most-soul-crushing-job-in-background-checks",
        "votes": 15,
        "created_at": "2026-02-03T17:47:01.687Z"
      },
      {
        "id": 82712,
        "title": "Superunit 💆🏼‍♂️ AI accounting agents for companies selling physical products",
        "tagline": "Effortlessly automate accounting, integrate inventory data, and eliminate financial statement errors",
        "body": "**🙈 TL:DR:** Companies selling physical products spend a fortune on accounting and are still left with incorrect financials because of inventory related complications. We fix that.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/a2949d25-3407-403c-88d4-f6f9beff9ce7)\n\n🥵 **PROBLEM**: Companies selling physical products struggle with accounting and inventory operations. Current bookkeeping methods rely heavily on manual input and are often disconnected from accurate inventory data. This leads to mistakes in important financial figures like cost of goods sold (COGS), inventory value, margins, and cash flow. As a result, businesses spend a lot of time and money only to gain an inaccurate picture of their financial health. These inaccuracies lead to poor budgeting decisions, loan rejections, failed fundraising, non-compliance, and frequent cash flow crises.\n\n😍 **OUR SOLUTION:** A powerful AI accounting agent built specifically for companies selling physical products.\n\nOur platform automates bookkeeping and completes a variety of crucial product operations tasks such as calculating COGS, optimizing POs, and conducting contribution margin analysis with only a few clicks.\n\nAll financial and inventory data is connected and written back to QBO or your ERP, eliminating financial statement errors, saving dozens of hours per month, and thousands on accounting costs.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/56544b6d-0310-4c0e-a398-09bdb3945f94)\n\n💡 **THE INSPIRATION:** As the founder of Robin Golf, [Peter](https://www.linkedin.com/in/marler/) encountered this problem frequently. Doing the financials required an expensive team and the books were always inexplicably wrong. As as a result, the company was underwritten for debt and equity incorrectly, wasn’t able to make proper budgeting decisions, couldn’t forecast inventory needs, couldn’t optimize channel mix, and was blindsided by cash shortfalls.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/46551b06-df3e-4d8c-bc8e-46a92a333bf8)\n\n👬 **THE TEAM**: [**Peter Marler**](https://www.linkedin.com/in/marler/) (CEO) was the co-founder/CEO of Robin Golf, a venture backed, multichannel golf equipment company. Prior to that he held roles at Facebook, Quantifind, and NBCUniversal. He is a graduate of Stanford GSB.\n\n[**Zach Yellin-Flaherty**](https://www.linkedin.com/in/zachary-yellin-flaherty/) (CTO) previously built payments infrastructure at Stripe and Index. He holds two Computer Science degrees from Stanford.\n\n🙏🏼 **ASK:** We’re onboarding customers and looking to grow! We’d love intros to CEOs/CFOs/COO of companies selling physical products - ecomm brands, wholesalers, retailers, dropshippers.\n\n🔗 **LINKS:** Connect with us on these platforms in the meantime!\n\n[**Company Linkedin**](https://www.linkedin.com/company/unit-iq/)\n\n[**Peter Linkedin**](https://www.linkedin.com/in/marler/)\n\n[**Zach Linkedin**](https://www.linkedin.com/in/zachary-yellin-flaherty/)\n\n[**Peter Twitter**](https://x.com/peter_marler)",
        "url": "https://www.ycombinator.com/launches/LW4-superunit-ai-accounting-agents-for-companies-selling-physical-products",
        "votes": 10,
        "created_at": "2024-08-05T01:44:25.456Z"
      }
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    "id": 29575,
    "name": "Doublezero",
    "slug": "doublezero",
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    "website": "https://doublezero.tech",
    "all_locations": "Remote",
    "long_description": "Doublezero is a platform that provides developers with everything they need to build, operate, and monetize autonomous agents. Developers can focus on creating tools while Doublezero handles reasoning frameworks, state management, analytics, monetization, and a runner UI.\r\n\r\nUsers can interact with agents through a powerful UI that allows play, pause, rewind, and human intervention, and discover or share agents and tools through an integrated marketplace.",
    "one_liner": "Platform to build, use, and monetize fully autonomous agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1724163637,
    "tags": [
      "Developer Tools",
      "Infrastructure",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/doublezero",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/doublezero.json",
    "year_founded": 2025,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/doublezero-tech",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 213326,
        "full_name": "Scott Moss",
        "title": "Founder",
        "founder_bio": "Co-founder at Doublezero S24, Tipe W18. Prev eng @Netflix, former VC.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/willscottmoss/",
        "x_url": "http://twitter.com/scotups",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/abf9fb1542d85846cc03d3a57c891f06fdef57cd.jpg"
      },
      {
        "user_id": 668684,
        "full_name": "Travis Ueki",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder of Ceejay, Previously Tipe (W18),  Coinbase (S12)\n\nObsessed with building product. Born and raised on Oahu, Hawaii, my journey’s been anything but conventional.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/travis-ueki/",
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      {
        "id": 85084,
        "title": "Ceejay - Give Your Inbox and Calendar a Brain",
        "tagline": "Ceejay uses AI to lighten the mental load of managing your inbox and calendar.",
        "body": "**TLDR;** We’re launching Ceejay – an all-knowing assistant connected to your inbox and calendar. [Download it here](https://tryceejay.com) (if you have Gmail and an iPhone!).\n\n### **The Problem**\n\nOur inboxes are too noisy to manage and too important to ignore. 70% of people who have a full-time executive assistant start by having them manage their email and calendar. \n\nWhy? It’s an easy way to save time (say, an hour a day) and both platforms have enough context that an assistant can ramp up fairly quickly. We’ve proven LLMs can do this for you, for a fraction of the cost of a human.\n\nWe previously built [Superfilter](https://superfilter.ai) to tackle a similar problem, but we made a _ton_ of mistakes. Thankfully those mistakes led us to a product people find very valuable.\n\n### **Enter Ceejay**\n\nUsing Ceejay is similar to the experience of chatting with a human assistant.\n\nWatch this 60-second video to understand what [Ceejay can do for you.](https://www.youtube.com/watch?v=ybeCMdFXqhc)\n\nCeejay has a growing list of things it can do for you including:\n\n**Searching your inbox:** Why search your inbox for that receipt from July when you can ask Ceejay?\n\n**Managing your schedule:** Why send a calendar link or book an event when you can ask Ceejay (who handles conflicts!)?\n\n**Highlight messages that matter:** Why separate your important messages from the unimportant when Ceejay can do it for you?\n\n**Learning about you:** Ceejay is also the only inbox that deliberately remembers facts about you to reference later. I told Ceejay that my coworkers are Scott and Travis.\n\nJust ask, and you shall receive. There’s no additional inbox to manage. No new interface to learn. Just a clean chat with a ton of features you can use to manage your schedule and (important) email-based conversations efficiently.\n\n### **Who are we?**\n\nWe’re Scott, Travis, and Albrey. We participated in the S24 batch, building Superfilter. During our time building Superfilter, we learned from over 1,000 people about the pain they feel having to manage their inboxes. Our mission is to bring the experience of having a personal assistant to every knowledge worker at 1/100th of the cost. \n\n![uploaded image](/media/?type=post&id=85084&key=user_uploads/1856435/b5abf171-7e63-4c0e-835b-624ec0244d66)\n\n### **How can you help us?**\n\nIf you’re an iPhone and Gmail user, download the product at [tryceejay.com.](http://tryceejay.com)",
        "url": "https://www.ycombinator.com/launches/M8K-ceejay-give-your-inbox-and-calendar-a-brain",
        "votes": 18,
        "created_at": "2024-10-28T16:33:46.810Z"
      },
      {
        "id": 83227,
        "title": "Superfilter - An executive assistant in your pocket",
        "tagline": "Let us manage your inbox so you don't have to.",
        "body": "**TLDR;** We built a companion that manages your inbox with the intelligence of an executive assistant. It never misses an important email, suggests follow up actions, and handles things like meeting coordination and quick replies in one click. [**Sign up here to get access.**](https://bit.ly/superfilter-beta)\n\n### **Who we are?**\n\nHey everyone, we’re [Scott](https://www.linkedin.com/in/willscottmoss/), [Travis](https://www.linkedin.com/in/travis-ueki/), and [Albrey](https://www.linkedin.com/in/albreybrown/). We’re serial entrepreneurs who’ve worked together for almost a decade. Over various roles, we discovered the worst part of work is managing our email inbox. So we built an [assistant](https://bit.ly/superfilter-beta) that handles it for us and are now offering it to you.\n\n![uploaded image](/media/?type=post&id=83227&key=user_uploads/1856435/7eed6456-08d3-4d5f-a796-7b251a1dcc52)\n\n# **The Problem**\n\nIn [_A World Without Email,_](https://www.amazon.com/World-Without-Email-Reimagining-Communication/dp/0525536558) Cal Newport explains that the average knowledge worker spends 30% of their workday managing their inboxes rather than engaging in meaningful work. Cutting this time in half could unlock hundreds of hours of productivity.\n\nWe interviewed founders and executives to understand how they deal with this. We typically heard one of three strategies:\n\n👀 Ignoring email altogether. Super efficient, but results missed opportunities and annoyed customers and friends.\n\n🤝🏿 Hiring an executive assistant. Saves a lot of time, but is very expensive.\n\n✉️ Clients like Superhuman. Affordable, but marginally more efficient than traditional email clients.\n\nWe couldn’t find a solution that was as reliable as an executive assistant and as affordable as a suped-up email client, so we set out to build it.\n\n# **Enter Superfilter**\n\nSuperfilter doesn’t replace your email client. Rather — it connects to your inbox and manages it like your executive assistant. While you’ll use email for strategic work, Superfilter keeps you on top of the tactical stuff.\n\nHere are some of its capabilities users love so far:\n\n**Overviews make sure you never miss an important email**\n\n![uploaded image](/media/?type=post&id=83227&key=user_uploads/1856435/3fc62c41-26dd-4448-83e9-c794bbca2c50)\n\n**Feeds keep track of your to-do’s and FYI’s**\n\n![uploaded image](/media/?type=post&id=83227&key=user_uploads/1856435/aaa241d9-d8ff-416b-99bd-6fdb8798a9a0)\n\n**Tasks let you delegate repetitive work to Superfilter**\n\n![uploaded image](/media/?type=post&id=83227&key=user_uploads/1856435/4cb8b15f-2185-4a51-bde6-24580ca1c2a4)\n\nSuperfilter’s purpose is to give you back time and peace of mind. It’s always working, improves as it learns from you, and will only leave to work for another person if you cancel your subscription.\n\n# **The Ask**\n\nUse the product and give us feedback. We only support iPhone and Gmail (Superhuman and Hey included).\n\n* [**Sign up on our waitlist for early access**](https://bit.ly/superfilter-beta)\n* **Follow us:** Give us a follow on [Twitter &](https://x.com/superfilter_ai) [LinkedIn](https://www.linkedin.com/company/superfilter-ai/)",
        "url": "https://www.ycombinator.com/launches/LeN-superfilter-an-executive-assistant-in-your-pocket",
        "votes": 60,
        "created_at": "2024-08-20T16:53:25.765Z"
      }
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    "id": 29577,
    "name": "Variant",
    "slug": "variant",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd64bca7fac097523dd134d6167e96f5fb79ab98.png",
    "website": "https://variant.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Creative intelligence",
    "one_liner": "Creative intelligence",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1732310413,
    "tags": [
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      "Design Tools",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/variant",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/variant.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/variantui/",
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      "url": "https://www.ycombinator.com/people/garry-tan"
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      {
        "user_id": 436496,
        "full_name": "Benjamin South Lee",
        "title": "Founder/CEO",
        "founder_bio": "Building Variant. Formerly founded two companies which were acquired by Postmates, where I was VP of Product Design, and Avara, where I was SVP of Product and Design. \n\nExperiments: bensouth.com\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hoopla",
        "x_url": "https://twitter.com/bnj",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c5f713219c46146c33d9c31b7e7941128a72e45.jpg"
      },
      {
        "user_id": 1666704,
        "full_name": "Daniel Bulhosa Solorzano",
        "title": "Founder",
        "founder_bio": "Formerly led simulation & testing for emergency vehicle, human controlling traffic, and school bus interactions at Cruise. Worked on generative AI for simulating road actor behavior in the same. Previously led machine learning at the Square Ecommerce team, where he built the ML features of the Photo Studio mobile app and the PDF to catalog importer feature.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dbulhosa/",
        "x_url": "https://x.com/danielbulhosa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5faeac21f361bb60689534f8ce679996669d40ca.jpg"
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    "jobs": [
      {
        "id": 73621,
        "title": "Founding Frontend Engineer (Staff)",
        "url": "https://www.ycombinator.com/companies/variant/jobs/ZEEFZxK-founding-frontend-engineer-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$180K - $235K",
        "equity_range": "0.10% - 1.25%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "CSS",
          "HTML",
          "JavaScript",
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 75909,
        "title": "Founding Agentic Backend Engineer (Senior / Staff)",
        "url": "https://www.ycombinator.com/companies/variant/jobs/23RX4ZO-founding-agentic-backend-engineer-senior-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $235K",
        "equity_range": "0.10% - 1.25%",
        "experience": "6+ years",
        "visa": "Will sponsor",
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      },
      {
        "id": 81911,
        "title": "Applied Researcher",
        "url": "https://www.ycombinator.com/companies/variant/jobs/aBbdYjK-applied-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $300K",
        "equity_range": "0.50% - 1.75%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
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        "title": "Storyteller (Short-form) ",
        "url": "https://www.ycombinator.com/companies/variant/jobs/WrZeLG0-storyteller-short-form",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$110K - $150K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "id": 29582,
    "name": "Cheers",
    "slug": "cheers",
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    "website": "https://www.cheers.tech",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI assistants are replacing search for local businesses. When someone asks ChatGPT for a plumber or hotel recommendations, reviews are the primary training signal, especially in local markets where other data is sparse. This is GEO (Generative Engine Optimization).\r\n\r\nCheers is the full-stack GEO platform for local service businesses. We audit AI visibility, build optimization plans (schema markup, citation fixes, review strategy), and give frontline teams NFC tools to generate reviews with employee-level attribution.\r\n\r\nVivint generated 70,000+ five-star reviews in 5 months. They now rank #1 on ChatGPT and Google Search across their markets.",
    "one_liner": "Win local search on ChatGPT & other LLMs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1721413814,
    "tags": [
      "Analytics",
      "Feedback",
      "AI",
      "Reviews"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/cheers",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/cheers.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cheers-software/",
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      "name": "Tyler Bosmeny",
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      {
        "user_id": 1314282,
        "full_name": "Dylan Allen-Arnegård",
        "title": "Founder/CEO",
        "founder_bio": "Dylan is the CEO & Co-Founder of Cheers. Dylan previously helped build Azure Linux at Microsoft, and interned as a product manager and software engineer at Podium (YC W16), and Weave (YC W14). Before getting his degree in Computer Science from BYU, he spent more than 5 years in different frontline roles across Texas, Utah, Idaho, and Argentina.",
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        "linkedin_url": "https://linkedin.com/in/dylan-allen",
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    "launches": [
      {
        "id": 93185,
        "title": "Cheers - The GEO platform to win local search on ChatGPT",
        "tagline": "We help service businesses win local search on ChatGPT & other LLMs",
        "body": "Hey there!\n\nWe’re [Dylan](https://www.linkedin.com/in/dylan-allen/) and [Amadeus](https://www.linkedin.com/in/amadeus-peterson/), the founders of [Cheers](https://www.cheers.tech).\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/4f3b1be6-d50c-4917-a18c-279469925471)\n\n### TL;DR\n\n**TL;DR** AI assistants (ChatGPT, Gemini) are changing how customers find local services. Soon, they will be booking appointments and buying on our behalf. AI recommends based on **reputation, not ads**. This shift is GEO (Generative Engine Optimization).\n\nCheers is the full-stack GEO platform for service businesses. We ensure AI recommends you first. We analyze your reputation, build a strategy, and turn your frontline employees into a reputation engine—capturing reviews at the point of service and attributing every outcome to the individual employee.\n\n**Ask:** Know a multi-location service business (home services, retail, field sales)? Intro us: [dylan@cheers.tech](mailto:dylan@cheers.tech) (10% referral bonus for closed deals!)\n\n### **Video:**\n\nhttps://youtu.be/P42T7HQSncA\n\n# \n\n# The Problem: The End of Local Search As We Know It\n\nLocal search is dying. Consumers are moving away from traditional Google searches and asking AI assistants for recommendations. Soon, AI will move from recommendation to action—booking and buying directly.\n\nThis is the era of GEO (Generative Engine Optimization), and it changes the rules:\n\n* **You Can't Buy Ads on ChatGPT (yet):** You can pay to be at the top of a Google search, but you can't pay to be suggested by ChatGPT. AIs ignore ad budgets and analyze authentic reputation signals (reviews, citations, social proof).\n* **Reputation is Everything:** If the AI cannot find strong, verifiable evidence of your quality, your business is invisible.\n* **The Execution Gap:** Most service businesses generate goodwill face-to-face but fail to systematically capture it on the 3rd party sites AI trusts.\n* **The Attribution Gap:** Even when they get reviews, they lack attribution. Managers can't see which employees are driving their reputation, so they can’t scale what works.\n\nYou can’t win GEO if you don’t generate the right signals, and you can’t optimize the signals if you can't attribute them.\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/818afe3b-2ce0-4f37-8696-cd0e783ee073)\n\n# Our Solution: The Full-Stack GEO Platform\n\nCheers is the platform built natively for GEO. We help businesses generate the reputation signals that AIs trust and attribute those signals to the people who create them.\n\nHere’s the platform:\n\n1. **Analysis & Strategy:** We analyze a company’s existing online reputation and build a custom GEO optimization plan (covering the reviews, citations, and evidence hubs that AIs parse confidently).\n2. **The Reputation Engine (Execution):** We equip frontline employees with ultra-low-friction tools (like NFC taps) to capture reviews and social proof right at the point of service. We route these to the 3rd party sites AI actually cites.\n3. **Employee-Level Attribution (The Key):** We attribute every review and referral back to the specific employee and location. Managers can see what behaviors drive growth—and coach, reward, and scale them.\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/951ec0e5-9b68-47e4-9489-b6c7374e7172)\n\n**Traction & Proof** The demand for GEO is exploding. **Cheers has grown 115% in the last 40 days.**\n\nOur methodology is proven at enterprise scale. [Vivint Smart Home](https://vivint.com/) used Cheers to operationalize their reputation strategy across 400 locations.\n\nThe results: **70,000+ new 5-star reviews in 5 months.** Vivint now dominates AI recommendations for smart home services in all their service areas. 🤯\n\n# **The Team:**\n\nWe've been friends for more than 5 years, and moved from Utah to San Francisco to make Cheers into a decacorn.\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/009f2142-052e-4699-9b7a-6c988c72e5a8)\n\n[**Dylan Allen**](https://www.linkedin.com/in/dylan-allen/) (CEO) is a technical founder who's worked in experience/reputation management across [Podium](https://www.podium.com/) (YC W16), [Weave](https://www.getweave.com/) (YC W14), and [Microsoft Azure](https://azure.microsoft.com/en-us/) before starting Cheers.\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/c1ef80dd-107f-486d-9edb-03aec637cf6c)\n\n[**Amadeus Peterson**](https://www.linkedin.com/in/amadeus-peterson/) (CTO) was a software engineer at [Northrop Grumman](https://www.northropgrumman.com/) working on the Sentinel Missile system before Dylan convinced him to quit and move to SF.\n\n**Our Ask:** Do you know anyone at a multi-location service business (Home Services, Field Sales, Retail, Hospitality)? PE rollups are also a great fit.\n\nEmail [dylan@cheers.tech](mailto:dylan@cheers.tech) with an intro → We offer a 10% referral bonus on the annual contract value of any closed deal.",
        "url": "https://www.ycombinator.com/launches/OEz-cheers-the-geo-platform-to-win-local-search-on-chatgpt",
        "votes": 94,
        "created_at": "2025-08-20T14:29:27.340Z"
      },
      {
        "id": 83053,
        "title": "Cheers: The super-app for in-person employees",
        "tagline": "Meet Cheers, the all-in-one platform for in-person employee excellence.",
        "body": "**TL;DR:** We’re [Cheers](https://cheers.tech), building the super-app for in-person employees (think home services, restaurants, D2D sales). We’re starting with NFC-enabled employee badges that make key tasks—like collecting reviews and verifying employment—seamless. It’s our first step toward becoming the central platform for in-person work.\n\n# **🥂 What is Cheers?**\n\n_Cheers is on a mission to revolutionize how in-person employees work._ We’re building the super-app that will become the central hub for everything these employees need—from managing schedules and tracking performance to accepting tips and capturing customer feedback—all through NFC technology pre-enabled on smartphones today.\n\n![uploaded image](/media/?type=post&id=83053&key=user_uploads/1314282/43a513ab-a934-4a14-a112-05fa155cc8a3)\n\n# **🧨 The Problem We Solve:**\n\n**In-person customer and employee interactions are often inefficient and filled with friction.** Whether it’s collecting feedback, verifying employment, or capturing leads, these processes are typically slow, manual, and prone to errors. This inefficiency not only frustrates employees and customers _but also leads to missed opportunities for businesses to optimize and grow._\n\nCheck out how it looks here: <https://youtu.be/yfW_QonAPEE>\n\n**Cheers aims to make every in-person interaction seamless, frictionless, and measurable.** We’re starting with NFC-enabled employee badges that go beyond basic identification. These badges enable employees to perform key actions with just a tap—whether it’s gathering a 5-star Google Review, collecting a lead, or verifying employment—right when it matters most, face-to-face with the customer.\n\n# \n\n# **🚀 Why We’re Excited About Cheers:**\n\nWe believe that these badges are our wedge into businesses. They address immediate needs (better Google Reviews, etc.) while laying the groundwork for something much bigger. **As employees and owners tap into Cheers’ early features, they quickly see the value in capturing and attributing customer interactions to individual employees.** That means the right employees get the proper credit and feedback, which is actionable at a more granular level. We’ve already seen this open the door to deeper integration across operations. _(**also, Apple** made an announcement about **iOS 18.1** that really excites us, check it out _[_here_](https://9to5mac.com/2024/08/14/apple-nfc-chip-iphone-ios-18-1/)_.)_\n\n**Example:** Imagine an employee tapping their badge to allow a customer to leave a 5-star Google Review in just 3 taps: notification, rating, post. Or, picture a customizable employee page where customers can perform multiple actions—like booking services or leaving feedback—all in one place.\n\n![uploaded image](/media/?type=post&id=83053&key=user_uploads/1314282/0777f19c-8ae1-41f0-8d8e-c09eaa28b4e5)\n\n# **📈 Our Traction:**\n\nWe have 25 customers, the majority of which are small businesses, like your local bridal shop or burger joint. We have one enterprise-level client with whom we’ve been running a successful paid pilot for the past 2 months. **We’ve grown our MRR from \\~$1,400 on July 1st to \\~$4,000 now.** Cheers has already processed over 3,000 internal and external reviews for our customers. \n\nOur reporting software is delivering real results—**our average customer has 5-10x’ed their monthly 5-star Google Reviews.** Managers are using it to track performance, run competitions, and provide targeted feedback. **(See the screenshot below for a look at what our customers do when hosting competitions).**\n\n![uploaded image](/media/?type=post&id=83053&key=user_uploads/1314282/c932da5c-dd75-4579-ab20-080c058000e3)\n\n**But this is just the start.** We’re building Cheers to be the central operating system for in-person businesses—a platform that will transform how in-person teams operate, from scheduling and payments to customer engagement and beyond.\n\n# **🙏 Our Ask to You:**\n\nWe’re looking for intros to folks who manage—or know someone who manages—in-person, customer-facing teams: anything from self-storage to solar sales. Cheers is _especially_ helpful for companies that currently struggle with getting online reviews (Google, TripAdvisor, Thumbtack, etc.).\n\nOur first product, the Cheers NFC-enabled employee badge, is already delivering strong results, and with your help, we can build something truly impactful. Request a text from one of us, or schedule a call with our CEO Dylan, [here](https://cheers.tech/get-started).\n\nAnd finally, a toast, to people like you. Cheers! 🥂",
        "url": "https://www.ycombinator.com/launches/LbZ-cheers-the-super-app-for-in-person-employees",
        "votes": 65,
        "created_at": "2024-08-14T22:06:15.209Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mem0 enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. It remembers user preferences, adapts to individual needs, and continuously learns over time - ideal for customer support chatbots, AI assistants, and autonomous systems.",
    "one_liner": "The Memory layer for AI Agents",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1716511817,
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    "stage": "Growth",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/mem0.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mem0",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Taranjeet Singh",
        "title": "Founder/CEO",
        "founder_bio": "Taranjeet Singh is the co-founder & CEO of Mem0. He joined Khatabook (YC S18) as first growth engineer & quickly transitioned to Senior PM. He began his software engineering career at Paytm (India's Paypal) & witnessed its meteoric rise to become a household name. He built an AI-powered tutoring app that was featured at Google I/O. He co-created EvalAI, an open source Kaggle alternative with Deshraj & grew it to 1.6K GitHub stars. He also created the first GPT app store, scaling it to 1M+ users.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/taranjeet7114",
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      {
        "user_id": 299508,
        "full_name": "Deshraj Yadav",
        "title": "Founder/CTO",
        "founder_bio": "Deshraj Yadav is the co-founder and CTO of Mem0. He is broadly interested in the field of Artificial Intelligence and Machine Learning Infrastructure. He led the AI Platform at Tesla Autopilot, which enabled large-scale training, model evaluation, monitoring, and observability for Tesla's full self-driving development. Prior to that, Deshraj created EvalAI, an open source ML platform, as his master's thesis at Georgia Tech. He has published papers at top AI conferences like CVPR, ECCV, AAAI etc.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/deshrajdry",
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      {
        "id": 97144,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/mem0/jobs/i1LyerD-full-stack-engineer",
        "location": "San Francisco Bay Area",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 99945,
        "title": "Research Engineer - Agent Memory",
        "url": "https://www.ycombinator.com/companies/mem0/jobs/fuNIwmP-research-engineer-agent-memory",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/mem0/jobs/mpmlfnN-developer-relations",
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        "id": 99951,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/mem0/jobs/85yRXxn-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
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    "news": [
      {
        "title": "This Startup Is Trying To Solve The AI Memory Problem",
        "url": "https://www.youtube.com/watch?v=Sr1STQP0cds",
        "date": "Jan 23, 2026"
      },
      {
        "title": "Mem0 raises $24M from YC, Peak XV and Basis Set to build the memory layer for AI apps | TechCrunch",
        "url": "https://techcrunch.com/2025/10/28/mem0-raises-24m-from-yc-peak-xv-and-basis-set-to-build-the-memory-layer-for-ai-apps/",
        "date": "Oct 28, 2025"
      },
      {
        "title": "Mem0's scalable memory promises more reliable AI agents that remembers context across lengthy conversations | VentureBeat",
        "url": "https://venturebeat.com/ai/mem0s-scalable-memory-promises-more-reliable-ai-agents-that-remembers-context-across-lengthy-conversations/",
        "date": "May 08, 2025"
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      {
        "id": 83896,
        "title": "Mem0 - Open Source Memory Layer for AI Apps",
        "tagline": "Mem0 adds memory to AI applications, solving the problem of repetitive, stateless interactions and enabling personalized, cost-efficient AI experiences.",
        "body": "**TL;DR**\n\n[Mem0](https://mem0.ai) is an open-source memory layer for AI applications. It solves the problem of stateless LLMs by efficiently storing and retrieving user interactions, enabling personalized AI experiences that improve over time. Our hybrid datastore architecture combines graph, vector, and key-value stores to make AI apps personalized and cost-efficient. Watch our explainer video [here](https://youtu.be/Rg3_Mpr3Kcs).\n\n—\n\nHey everyone! We're Taranjeet and Deshraj, and we built [Mem0](https://github.com/mem0ai/mem0) to solve a big problem we faced with LLMs while building Embedchain (an open-source RAG framework with 2M+ downloads). LLMs don’t have memory, so they forget everything after each session. This leads to inefficient and repetitive interactions, making it hard to create personalized AI experiences. Think about having to repeat your preferences over and over again, and how frustrating that gets! Mem0 changes that.\n\n❌ **The Problem**\n\nLLMs are stateless—they don’t remember anything between sessions. Every time you interact with them, you have to provide the same context, which gets repetitive and wastes computational resources. This makes AI apps less useful and personalized over time.\n\n✨ **Our Solution**\n\n![uploaded image](/media/?type=post&id=83896&key=user_uploads/661173/ed531d50-421e-4d2f-a361-088587c27198)\n\nMem0 adds a **memory layer** to AI applications, making them stateful which allows them to store and recall user interactions, preferences, and relevant context. This way, AI apps evolve with every interaction, delivering more personalized and relevant responses without needing large context blocks in each prompt.\n\nTo make this possible, we needed to create a system that could efficiently manage and retrieve all the relevant information AI apps collect over time. That’s where Mem0’s **hybrid datastore architecture** comes in, making AI smarter and more efficient as it learns.\n\n⚙️ **How it works**\n\n[Mem0](https://mem0.ai) employs a hybrid datastore architecture that combines graph, vector, and key-value stores to store and manage memories effectively. Here’s the breakdown:\n\n* **Adding memories:** When you use Mem0 with your AI App, it automatically detects and stores the important parts of your messages or interactions.\n* **Organizing information:** Mem0 categorizes memories in three ways:\n  * **Key-value stores** for quick access to structured data (facts, preferences).\n  * **Graph stores** for understanding relationships (like people, places, objects).\n  * **Vector stores** for capturing the overall meaning and context of conversations, allowing AI apps to find similar memories later.\n* **Retrieving memories:** When an input query is received, Mem0 searches for and retrieves relevant memories using a combination of graph traversal techniques, vector similarity, and key-value lookups. It prioritizes the most important, relevant, and recent information, ensuring that the AI has the right context, no matter how much memory is stored.\n\nWatch this video for a demo of our playground in action [here](https://youtu.be/VtRuBCTZL1o)\n\n🙏 **Our Asks**\n\n* Try out [Mem0](https://mem0.ai)! We guarantee that your users will have personalized interactions after adding Mem0 in your AI apps. Moreover, you will save on your LLM costs.\n* If you are looking for a memory provider for your AI app and want to schedule a demo, please feel free to block some time on [my calendar](https://cal.com/taranjeetio/mem0) or email me at [taranjeet@mem0.ai](mailto:taranjeet@mem0.ai)\n* Checkout our platform and open-source offering and give feedback:\n  * Platform: <https://app.mem0.ai/playground>\n  * GitHub: <https://github.com/mem0ai/mem0>",
        "url": "https://www.ycombinator.com/launches/LpA-mem0-open-source-memory-layer-for-ai-apps",
        "votes": 634,
        "created_at": "2024-09-10T14:36:03.296Z"
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    "name": "Glasskube",
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    "one_liner": "Ship self-hosted software with Distr",
    "team_size": 3,
    "industry": "B2B",
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    "launched_at": 1717765543,
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    "year_founded": 2023,
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    "linkedin_url": "https://www.linkedin.com/company/glasskube/",
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    "github_url": "github.com/glasskube/distr/",
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      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 1278777,
        "full_name": "Louis Weston",
        "title": "Founder/President",
        "founder_bio": "Business, Law, and Compliance background. Before Glasskube, I advanced from intern to legal counsel at a fintech startup with over 100 employees in three years, negotiating contracts with Apple, Deutsche Bank, and Volkswagen, and building a compliance and security system according to ISO standards.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/louiswaefler",
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      {
        "user_id": 1910548,
        "full_name": "Philip Miglinci",
        "title": "Founder",
        "founder_bio": "Open-Source and Kubernetes ❤️\n\nIronman finisher 🏊 🚴 🏃\n\nBefore working on Glasskube, I built:\n - Mission-critical alerting infrastructure in Europe as CTO\n - PCR testing and analytics software as part of my Master thesis\n",
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      {
        "id": 90349,
        "title": "Distr – The Open Source Control Plane for Self-Managed, BYOC, and On-Prem Deployments",
        "tagline": "Connect Distr to GitHub and deploy anywhere in hours—not months.",
        "body": "Hi everyone! We’re [Philip](https://www.linkedin.com/in/pmigat/) and [Louis](https://www.linkedin.com/in/louisnweston/), the co-founders of [Glasskube](https://glasskube.dev/) and we are excited to share Distr.\n\n![uploaded image](/media/?type=post&id=90349&key=user_uploads/1278777/8ef8adb5-e11a-40bf-9b04-efa9c19be58e)\n\n**TLDR:** Distr is an Open source control plane for AI companies. Our customers plug us into their existing CI/CD pipeline to offer BYOC and self-managed in hours, not months.\n\n**Distr is fully open source.** Check out our repository on [GitHub](https://github.com/glasskube/distr). (We'd appreciate a star 🌟)\n\n### **“Self-managed is making a big comeback.” — Shay Banon, Founder of Elastic**\n\n![uploaded image](/media/?type=post&id=90349&key=user_uploads/1278777/33f877d3-6adf-49eb-aa00-add8dcbcdde3)\n\nWe spoke with Shay earlier this month, and I couldn’t agree more.\n\n* Enterprises want control.\n* Data is valuable\n* Security concerns are rising\n* Data sovereignty is now critical, especially in the age of AI.\n\nThis shift has been building for a while and is accelerating rapidly, particularly in Europe, Singapore, and regulated industries around the world.\n\nIf you're building AI tooling and selling to large customers, how often have you been asked: _“Can we run this inside our VPC?”_\n\n### So why isn’t everyone offering self-managed?\n\nBig players like ClickHouse, Snowflake, and Redpanda figured it out early. But for smaller teams, supporting self-managed deployments often feels out of reach. Too much effort, not enough return.\n\nSelf-managed often means:\n\n* Too much complexity, too early.\n* Every customer wants something different.\n* Shipping updates is slow and painful.\n* You’re flying blind, no usage insights.\n* Troubleshooting without visibility is brutal.\n\n### \n\n### Our Solution\n\nDistr is your Open Source control plane for self-managed, BYOC, and on-prem deployments. It gives you everything you need out of the box to support self-managed customers without building a custom solution from scratch. Distr fits right into your existing stack and lets you onboard, update, and support self-managed customers in minutes, not months. Just connect your GitHub repo and you’re up and running.\n\n![uploaded image](/media/?type=post&id=90349&key=user_uploads/1278777/0a5b78df-5000-421a-8d6d-24a4f820b0db)\n\n* **Simple GitHub integration:** Connect your repo and start shipping in minutes.\n* **Works with your stack:** Supports Docker Compose, Terraform, Docker Swarm, and Kubernetes.\n* **Deploys anywhere:** AWS, GCP, Azure, on-prem, and even air-gapped environments.\n* **White-label customer portal:** Give your customers full control and visibility into their deployments.\n* **Built-in OCI registry:** Track image downloads and updates at the user and tag level.\n* **Advanced telemetry:** Collect detailed usage and performance metrics with OpenTelemetry.\n* **Flexible licensing:** Restrict access to versions and features with our Open Feature-compatible licensing server.\n* **API-first and automation-ready:** Fully integratable via API and SDK for custom workflows.\n\nhttps://youtu.be/FkSWkudlHJw\n\n### Coming soon:\n\n* Built in CVE scanning and automated security checks for all artifacts\n* HubSpot Integration\n* Workflows with Slack Notifications\n\n### First self managed customer?\n\nZero to one is the hardest. From your first PoC to a working Helm Chart and your first self-managed production deployment—we’ve done it all, many times over. That’s why we support you during your first self-managed customer and why using Distr is an unfair advantage.\n\n### Our Ask\n\n* [Try it for free](https://signup.distr.sh/signup.html) and give us feedback or\n* [Book a Demo](https://cal.glasskube.com/team/gk/demo)",
        "url": "https://www.ycombinator.com/launches/NVF-distr-the-open-source-control-plane-for-self-managed-byoc-and-on-prem-deployments",
        "votes": 19,
        "created_at": "2025-05-13T16:30:04.177Z"
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      {
        "id": 81592,
        "title": "Glasskube - Open source package manager for Kubernetes",
        "tagline": "Deploy, update, and configure Kubernetes packages 20x faster ",
        "body": "Hi everyone! We’re [Philip](https://www.linkedin.com/in/pmigat/) and [Louis](https://www.linkedin.com/in/louisnweston/), the co-founders of [Glasskube](https://glasskube.dev/).\n\n**TLDR:** Glasskube is an open source package manager for Kubernetes that makes deploying, updating, and configuring packages on Kubernetes **20x faster than** tools like **Helm or Kustomize.** Inspired by the simplicity of Homebrew and npm, our goal is to build enterprise-ready infrastructure software that can run mission-critical workloads across the more than 3 million Kubernetes clusters globally.\n\n**Glasskube is fully open source.** Check out our repository on [GitHub](https://github.com/glasskube/glasskube). (We'd appreciate a star 🌟)\n\n![uploaded image](/media/?type=post&id=81592&key=user_uploads/1278777/b43af44c-5372-4995-a383-3a84cdc9941c)\n\n# **The Backstory & Problem**\n\nKubernetes packages have been growing rapidly, from around 100 packages in 2016 to over 800 packages on the CNCF landscape today. With more than 7 million developers working with Kubernetes, Helm, an open-source tool created during a hackathon nine years ago, has become the go-to solution. However, Helm struggles to keep up with the increasing demand, leading to complex workflows and non-standardized solutions.\n\nOver the past five years, writing and deploying packages on Kubernetes, we found ourselves defaulting to Helm despite its shortcomings due to a lack of alternatives. While working on other cloud-native projects, users consistently highlighted common pain points with Helm. This realization prompted us to tackle the larger issue of package management in Kubernetes, leading to the development of Glasskube.\n\n# **What is Glasskube?**\n\nGlasskube brings the experience of Homebrew or npm to your Kubernetes cluster. It simplifies installation, updates, and configuration, making it easier and faster to manage your packages.\n\n![uploaded image](/media/?type=post&id=81592&key=user_uploads/1278777/f1208e18-d6ab-40ca-ae88-9b1be886b50a)\n\n**Focusing on simplicity and reliability with our CLI and UI**\n\nEasily install packages in your cluster via the Glasskube UI, where all packages are conveniently located, eliminating the need to search for a Helm repository.\n\n**Safe Package Updates**\n\nPreview and perform pending updates to your desired version with a single click (or CLI command). All updates are pre-tested by the Glasskube test suite.\n\n**Package configurations**\n\nConfigure packages with typesafe input values via the UI or interactive CLI questionnaire. Inject values from other packages, ConfigMaps, and Secrets easily. No more untyped and undocumented values.yaml files.\n\n**GitOps Integration**\n\nAll Glasskube packages are custom resources, manageable via GitOps. We're also integrating with [renovate](https://github.com/renovatebot/renovate/issues/29322). \\\n\\\nRead also more about [dependency management](https://glasskube.dev/docs/design/dependency-management/), [multiple repositories and private packages](https://glasskube.dev/docs/design/repositories/) on our [website](https://glasskube.dev/).\n\nInterested? Check out our [Demo.](https://youtu.be/aIeTHGWsG2c)\n\n# **Our Vision**\n\nCurrently, we are focused on enhancing the user experience, aiming to save engineers as much time as possible by building on top of existing technologies. In the future, we plan to develop an entirely new packaging and bundling format for all cloud-native packages. This will provide package developers with a straightforward way to define how to install and configure packages, offer simple upgrade paths, and enable us to provide feedback, crash reports, and analytics to every developer working on Kubernetes packages, similar to how Android supports Play Store developers.\n\n# **Presignup - Glasskube Cloud**\n\nWe are currently working on Glasskube Cloud, for which you can now [pre-signup](https://glasskube.cloud/signup.html). Key features include:\n\n* Cloud Hosted Private Packages\n* Security Alerts and Update Notifications\n* Advanced GitOps Integrations (intelligent insights on upgrade success probability, smart config migration suggestions, enhanced open PRs showing detailed changes at manifest/resource level)\n\n# **Our Asks**\n\nWe love talking to engineers and anyone interested in DevOps who uses Kubernetes. You can schedule a call with Louis and Philip [here](https://cal.glasskube.eu/team/founder/30min).\n\nIf you find this interesting and would like to try it out:\n\n* Presignup for [Glasskube Cloud](https://glasskube.cloud/signup.html)\n* Check out our repository [on GitHub](https://github.com/glasskube/glasskube).",
        "url": "https://www.ycombinator.com/launches/LE0-glasskube-open-source-package-manager-for-kubernetes",
        "votes": 39,
        "created_at": "2024-06-18T16:27:51.444Z"
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        "full_name": "Akshay Chalana",
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        "id": 82619,
        "title": "Saphira: Vanta for hardware",
        "tagline": "The easiest way to get safety certified.",
        "body": "**tl;dr: Hardware companies** use [Saphira](https://saphira.ai/) to easily **generate safety reports** and **get certified to sell** their product.\n\nWe’re [Oscar](https://www.linkedin.com/in/oavatare/) and [Akshay](https://www.linkedin.com/in/akshaychalana/), and we’ve built software for hardware and compliance at Twitter, Tesla, Amazon, and Hyperloop. \n\nWe’re making it really easy to get **UL, CE, ISO, and TÜV** certifications like **ISO 10218** and **ISO 26262** for hardware products.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfgRUpv-5EuNnEHb2YIIuVzkGDYVFRp2ZwD4LryC9TKyufX-m6IO4V8qlC90YErv5esvNgJjWF-CXaxHa1OwaBKHuRCZarwEg_h8aBjzqPVt9kxFd-aQB_m8D_SL7nwOyiLf1k0h07SsyflNQUdd_184BAh?key=Migms48Dt65ISx6x08AVig)\n\n# What are safety certifications, and who needs them?\n\nBuilding **industrial machinery** that can hurt someone, like robot arms and autonomous trucks?  Your **customers will mandate** TÜV safety certification per particular ISO and IEC standards!  \n\nBuilding **small appliances** that plug into the grid?  Many **retailers won’t sell your product,** and **commercial buildings won’t install** it unless you’re UL or CE certified!  \n\nBuilding a **satellite or communication system**?  The **FCC won’t allow** it to operate without certification!\n\nBuilding **defense equipment** for the government?  **They won’t buy** it unless it’s compliant with the relevant MIL-STDs!\n\n# Why did we start Saphira?\n\nHardware products can’t get to market because teams **don’t know how to navigate the certification process**. Unlike SaaS, there are no tools like Vanta that tell you exactly what you need to test, change, and re-evaluate in your designs to pass audits. This sucks because every hardware company we talk to gets stuck in **rework cycles** with their consultants and auditors that they call **“horrendous and intimidating”** (real customer quote).\n\nWe've seen this at Amazon and Tesla, where engineers don't know when a change breaks certification. Each iteration requires them to work with consultants to understand what broke, lengthening the time to launch.\n\nWe created Saphira to empower these innovators to **rapidly** build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n# What does Saphira do?\n\nSaphira tells you exactly what you need to account for in your **design and testing** to **achieve and maintain** hardware safety certification and compliance. We’re a centralized data source for the **requirements, tests, and standards** that are relevant to your product, making it straightforward to **identify and triage safety and compliance risks** without wasting months of time and thousands of dollars on **slow safety consultants**.\n\nSaphira automates **traceability**: regulatory reports by engineers that prove that requirements like “the robot arm won’t shock an attendant if touched while in motion” were implemented and validated. These reports are **painful and tedious** to produce. By maintaining references to all necessary source information, Saphira can automatically generate these reports, and even automatically identify which additional standard clauses are relevant to each requirement or design value.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfaxD8bMvNCW5gDewAe4uowrZviZqV3i00DsW2NM-2eVsuZCkRj_4t0oGKIJljGp0GTnS_AFmLlm1qLNUF4teYn5VTi6ZDyM1HtM1Vl56x3t0O4AKTWSq6FtmddRQWAtpes92noQLkImJgftBhWOqOKmWf0?key=Migms48Dt65ISx6x08AVig)\n\n# Who is Saphira for?\n\nSaphira is for engineers at hardware organizations of any scale and size:\n\n* The **safety engineering team** at an industrial robotics company can use Saphira’s **compliance report generator** (i.e. ISO-12100 and ISO-10218) to **achieve certification** to operate in the US.\n* An **engineering leader** at a hardware startup that needs UL certs to sell to more customers can use Saphira to speed up their process by months by avoiding hiring a slow safety consultant. \n* A **systems engineer** at an aerospace/defense company can use Saphira’s **AI tooling** to understand **how various military and government standards** (such as MIL-STD-810 or ISO-26262) are relevant to each facet of their specs and models.\n\n# Ask\n\n* We are experts in certifications for hardware companies.  If you think you might need this but aren't sure how to approach it, we are happy to help for free — [just reach out](mailto:akshay@saphira.ai).\n* If you know other engineering leaders seeking to improve their certification processes, [connect us](mailto:akshay@saphira.ai)! We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!",
        "url": "https://www.ycombinator.com/launches/LUZ-saphira-vanta-for-hardware",
        "votes": 81,
        "created_at": "2024-07-31T18:47:18.084Z"
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        "title": "Saphira AI - Orchestrating safe hardware engineering",
        "tagline": "Intelligent engineering design management for safety-critical products",
        "body": "**tl;dr:** We capture **requirements and design** in a central platform so that safety for complex physical products can be continuously evaluated: a simple and easy-to-use alternative to Jama or IBM DOORS.\n\nWe’re [Oscar](https://www.linkedin.com/in/oavatare/) and [Akshay](https://www.linkedin.com/in/akshaychalana/), and we’ve built hardware controls and virtualization for Tesla, Amazon, and Hyperloop. We’ve blown up prototypes and fried lasers by not applying effective system design and are building tools to make it easier to prevent such failures.\n\n![uploaded image](/media/?type=post&id=81405&key=user_uploads/1549881/efe6234d-8f86-4d19-b499-4fc3380514eb)\n\n# Why did we start Saphira?\n\nWhile building Hyperloop pods, we struggled with unusual and novel constraints: we had to take the propulsion, braking, and electronics of a sophisticated train and make them work perfectly in a vacuum chamber. Basic things that work in the normal world just didn’t there: network activity was severely throttled so remote control and telemetry were difficult, and electronics would arc more easily, requiring additional protections. This mandated that we put together clear **product requirements** that we needed to integrate and validate across the entire implementation stack, which turned out to be so hard that we struggled to get our pods working in time and faced weeks of all-nighters just to fail review and be barred from the race!  \n\nSince then, we’ve been searching for how large organizations we’ve been part of, like Tesla and Amazon, have made this easier: in truth, they haven’t! The most mature, most established industries, such as aerospace, account for this with **process**: intensive modeling, documentation, and data entry that **innovators don’t have time for**. When regulation and certification standards are put in place, **products are taken off the market or endure years-long delays**. \n\nWe created Saphira to empower these innovators to rapidly build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXc5i1avhrYfKOrHWzQzEyt6C88KBCZnFtCGL4YRw6nTaPipxU2-cXEpcxY4d9qHtMD0sO84I2xragUNrmUAdAju9BAD-HWgoS54BIUZX2U-bNV4n_cv0WnQwgnTq-zsSdo5Vf-6L6h8SJ0dKuJoPWOEygG3?key=Ebyb5ZyTMv3M7lBQpS9B7Q)\n\n# What does Saphira do?\n\nSaphira is a **single source of truth** where requirements, architecture, and tests can all be entered, parsed from existing documents, and tied together so that safety risks are identified and triaged quickly.\n\nSaphira is the easiest way to demonstrate **traceability**: regulatory reports by engineers that prove that requirements like “the Hyperloop pod must not catch fire in a vacuum chamber” were implemented and validated. These reports are painful and tedious to produce: by maintaining references to all the source information for them, Saphira can automatically generate them! Most importantly, Saphira removes systems engineers as a bottleneck to updating foundational engineering data, enabling any engineer to model and report on safety and compliance, making traceability easy for any fast-moving team.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXe_cgZGZGZLN8qYxQsHQhSKZbvtyL0vH1UGAAEu8uQr02TBKvptPzordelrm_y0Ltrns4l7GOCUsEjQYy1F8l1igdLtVx85IywthG9bRGS6CsAQI9zTzAVYbLV6aIdKlFwj64DEsu2_hGe-PMGeew_SbAl2?key=Ebyb5ZyTMv3M7lBQpS9B7Q)\n\nUltimately, we see traceability as not just a regulatory requirement but an enabler for automated engineering: as engineers define the relationships we use to sync data between, say, their codebase and task management system, this can be used to automatically propagate changes across an entire system! For example, one could change the requirement for a motor to produce 200 Nm of torque to 300 Nm: since they had linked this through a formula in Saphira to the current draw requirement from the battery, we would automatically update that in the power distribution PCB schematics, short-circuiting hours of work per change!\n\n# Who is Saphira for?\n\nSaphira is for engineers at innovative companies designing and building safety-critical hardware and software systems at organizations of any size:\n\n* The **safety engineering team** at an industrial robotics company can use Saphira’s **compliance report generator** (i.e. ISO-12100 and ISO-10218) to **achieve certification** to operate in the US a year faster than it otherwise would be able to.\n* A **systems engineer** at an AV startup can use Saphira’s test management framework to perform **release safety reviews** 50% faster and double their pace of software iteration.\n* The **head of hardware** responsible for **writing product requirements** at an energy startup that makes residential batteries can use Saphira’s **AI tooling** to parse design documents and generate supplier specifications in half the time to get faster quotes from prospective manufacturers and ship to customers sooner.\n\n# Ask\n\n* If you are seeking an engineering/application lifecycle management, requirements management, or systems engineering tool for your hardware company, [let’s talk](mailto:akshay@saphira.ai)!\n* If you know other engineering leaders seeking to improve their processes, [connect us](mailto:akshay@saphira.ai)! We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!",
        "url": "https://www.ycombinator.com/launches/LAz-saphira-ai-orchestrating-safe-hardware-engineering",
        "votes": 113,
        "created_at": "2024-06-10T15:48:04.873Z"
      }
    ]
  },
  {
    "id": 29591,
    "name": "Synnax",
    "slug": "synnax",
    "former_names": [
      "Synnax Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f41b3aa61848ecb2a662ed36b6f5712b21849a8.png",
    "website": "https://www.synnaxlabs.com/",
    "all_locations": "Denver, CO, USA",
    "long_description": "We build software that helps hardware teams quickly and clearly evaluate how a component (engine, battery, valve, etc.) or process (assembly line, manufacturing plant) performs. We prevent mistakes, reduce costs, and accelerate time-to-market. Our platform unifies industrial control with sensor data storage and automated post-processing, delivering an end-to-end operations and observability stack. To put it comparatively, take LabVIEW, InfluxDB, and Grafana, wrap them into a single package, add a bit of magic, and you get Synnax.",
    "one_liner": "Unified Hardware Control and Data Processing Software",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1721072332,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "During his time in industry, Emiliano witnessed outdated control software and bad data review processes lead to multi-million dollar failures of critical path hardware. Frustrated with proprietary file formats, slow data pipelines, and unintuitive, complex tools like LabVIEW, he set out to built a modern control and data processing stack for hardware. Patrick and Elham were Emiliano’s first beta testers on the University of Michigan’s student rocketry team. They played an essential role in early iterations of the product, giving feedback through experience gained during their internships at SpaceX, NASA JPL, and MIT’s Lincoln Labs. Over time, their conviction in the problem Synnax is solving and the quality of the product grew. In early 2024, they joined forces as co-founders."
      }
    ],
    "url": "https://www.ycombinator.com/companies/synnax",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/synnax.json",
    "year_founded": 2024,
    "city": "Denver",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/synnaxlabs/",
    "x_url": "https://x.com/synnaxlabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f41b3aa61848ecb2a662ed36b6f5712b21849a8.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 529055,
        "full_name": "Emiliano Bonilla",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Synnax. I'm classically trained in Aerospace Engineering and have a passion for building and selling great software to improve the way teams develop hardware. I led a team in the development of data processing tools for the first launches of Firefly Aerospace's Alpha rocket, one of the few new-space companies to repeatedly reach orbit. I've also worked on automous electric vehicle prototypes and developed banking software for European startups.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/emiliano-bonilla-8a0a95187/",
        "x_url": "https://x.com/Emilbon99",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d183df7517e069107156814da52dd26b4b9e82dd.jpg"
      },
      {
        "user_id": 1849518,
        "full_name": "Patrick Dotson",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder & COO at Synnax. I worked on propulsion systems for the Starship program at SpaceX and have experience in both hardware and software engineering. I graduated from the University of Michigan with a degree in aerospace engineering.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/patrick-dotson/",
        "x_url": "https://x.com/pj_dotson",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb84bf453eff4df1402b984a4acc4e85e58e04a1.jpg"
      },
      {
        "user_id": 2215787,
        "full_name": "Elham Islam",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Synnax. I wrote flight software for the Mars Sample Return Lander at NASA JPL and developed embedded control systems for laser communication at MIT Lincoln Laboratory. I studied computer engineering at the University of Michigan.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/elham-islam-/",
        "x_url": "https://x.com/ElhamIslam_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/15129d123788fa6e760ef0a1ac1be47c44f62ea2.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 82381,
        "title": "Synnax - The software infrastructure for operating & observing complex hardware",
        "tagline": "Detect anomalies, build mission control interfaces, and automate at scale.",
        "body": "### **Summary**\n\nTeams operating hardware from rockets to manufacturing lines use outdated, unintuitive control software that disregards the importance of rapid, quality data processing. This leads to unexpected downtime, disastrous anomalies, and delayed development.\\\n\\\n[Synnax](https://synnaxlabs.com) delivers a modern mission control stack with integrated data storage & processing. Wrap [LabVIEW](https://www.ni.com/en/shop/labview.html?cid=PSEA-7013q000001fLK5AAM-CONS-GOGSE_161597904920&utm_keyword=labview&gad_source=1&gclid=CjwKCAjwhvi0BhA4EiwAX25ujz2zA6xF3VRQaQaUKSnIWT-PQLXdmQGvejLgYkhZ7wgR4DdhgZxLyRoClgkQAvD_BwE#521715&s_kwcid=AL!6304!3!691563588228!b!!g!!labview), [Snowflake](https://www.snowflake.com/en/), and [Grafana](https://grafana.com/) into a single package, tune it for hardware, and you get Synnax.\n\n### **The Problem**\n\nWe’re a group of Aerospace Engineers hailing from NASA JPL, SpaceX, and Firefly Aerospace. (From left to right: [Patrick Dotson,](https://www.linkedin.com/in/patrick-dotson/) [Elham Islam](https://www.linkedin.com/in/elham-islam-/), and [Emiliano Bonilla](https://www.linkedin.com/in/emiliano-bonilla-8a0a95187/))\n\n![uploaded image](/media/?type=post&id=82381&key=user_uploads/529055/2aa036ec-8e14-4f42-b5e3-7715e93d17a1)\n\nWe’ve seen the best engineers blow up multi-million dollar systems because their mission control software didn’t give them a comprehensive picture of how their hardware was behaving. A director of test & launch operations once told our team:\n\n> It’s amazing what people guess at just because loading data is so hard\n\nTo put their quote in context, here’s what the leading aerospace control software, LabVIEW, shows as a UI screenshot on their landing page:\n\n![uploaded image](/media/?type=post&id=82381&key=user_uploads/529055/fe8ee6b7-a6bb-43c6-8cda-ee5c596d40b8)\n\nRemember [Scratch](https://scratch.mit.edu/about) or [Lego Mindstorms](https://www.nxtprograms.com/help/learn.html) from elementary school? LabVIEW is kind of like that, except people use it to fly humans to space. LabVIEW and its cross industry counterparts (such as [AVEVA Scada](https://www.aveva.com/en/solutions/operations/scada/) and [Rockwell FactoryTalk](https://www.rockwellautomation.com/en-us/products/software/factorytalk.html)) were first developed in the 20th century and have evolved little since. These tools come with:\n\n* Outdated, unintuitive user interfaces\n* High price tags\n* Closed ecosystems with no integrations\n* Poor documentation\n* Expensive certifications\n\n**Most importantly, they disregard the importance of tightly integrated and automated data processing that drives the innovation of today’s software giants.** Most solutions spit out massive CSV files or mindlessly write data to an SQL table. They’re disorganized, difficult to locate, inaccessible to most engineers, and are challenging to integrate with analysis tools.\n\n### **Our Solution - The Product**\n\nAt Synnax, we’re building a modern alternative to tools like LabVIEW by developing tightly integrated hardware control, sensor data storage, and automated post-processing software. Here’s our UI:\n\n![uploaded image](/media/?type=post&id=82381&key=user_uploads/529055/012764f7-8440-406b-b51e-fc82ee687b6c)\n\nWe deliver:\n\n* Intuitive interfaces for humans to manually operate everything from automotive test stands to manufacturing lines.\n* Tools for categorizing and reviewing historical data.\n* Automated post-processing and report generation pipelines.\n* Direct integration with existing sensor systems so teams don’t need to buy new hardware.\n* A simple API for writing automated control sequences in Python, C++, and TypeScript.\n\nIt’s this easy to open a valve based on temperature in Synnax:\n\n![uploaded image](/media/?type=post&id=82381&key=user_uploads/529055/197cb0a0-dc36-41fb-a273-816dd06d67f8)\n\nHere’s a comparable sequence in LabVIEW:\n\n![uploaded image](/media/?type=post&id=82381&key=user_uploads/529055/64d695d8-a786-49a1-975d-cecb7facf9f7)\n\n### **Our Solution - The Tech**\n\nWe’ve built one of the fastest time-series database engines available. Synnax can stream millions of samples per second in real time, making it possible to control systems with extremely tight timing requirements, such as starting a rocket engine.\n\n### **Our Solution - The Impact**\n\nBy bringing together hardware control and sensor data processing, organizations operating large, complex systems tighten the feedback loop between recording sensor data and using it to make actionable decisions.\n\nWith Synnax, teams:\n\n* Reduce risk by detecting and reacting to anomalies in real time.\n* Spend less time developing in-house data processing solutions.\n* Reduce the manual labor involved in extracting insights from sensor data.\n\n### **Our Asks**\n\nDo you work on hardware and need updated control software? Do you know someone who does? Let us know at [founders@synnaxlabs.com](mailto:founders@synnaxlabs.com).",
        "url": "https://www.ycombinator.com/launches/LQj-synnax-the-software-infrastructure-for-operating-observing-complex-hardware",
        "votes": 32,
        "created_at": "2024-07-23T20:54:19.457Z"
      }
    ]
  },
  {
    "id": 29596,
    "name": "Comfy Deploy",
    "slug": "comfy-deploy",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a731bcc797807541c6c51d10993125ff2f77823.png",
    "website": "https://comfydeploy.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "ComfyUI is the most popular open-source framework to build media generation workflows. However, it's a single-player experience that needs to run on a local GPU. Everyone has different environments and sharing workflows to someone else can take days to get setup.\r\n\r\nComfy Deploy fixes this by creating a collaborative workspace, where a teams environemnt, models and workflows can be shared as easily with a link.\r\n\r\n**Team ComfyUI workspace**\r\n\r\n• Replacing cobbled-together solutions with a unified, team-focused environment. When it works for you, you can be sure it works for your team.\r\n\r\n• Eliminate \"works on my machine\" issues with version control.\r\n\r\n• Share storage for models and outputs.\r\n\r\n• Leverage the power of ComfyUI without the complexities of self-hosting\r\n\r\n**Powerful GPU Infrastructure**\r\n• Access managed GPUs that grow with your teams needs\r\n\r\n• Tailor the platform to your requirements by easily installing custom nodes and models\r\n\r\n\r\n**Custom configuration**\r\n\r\n• Download the models you want, stored privately in your personal volume\r\n\r\n• Install the custom nodes your workflow needs\r\n\r\n• Train models on your own datasets.\r\n\r\n\r\n**API Deployments: From workflow to production in seconds**\r\n\r\n• Transform any workflow into a fully functional API immediately without extra engineering\r\n\r\n• Comprehensive observability on every run\r\n\r\n• Built-in API authentication\r\n\r\n• TS/JS/Python/Ruby SDKs for seamless integration\r\n",
    "one_liner": "ComfyUI for everyone on your team",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1721586531,
    "tags": [
      "Media"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/comfy-deploy",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/comfy-deploy.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/comfy-deploy",
    "x_url": "https://x.com/comfydeploy",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/comfy-deploy",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a731bcc797807541c6c51d10993125ff2f77823.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1100490,
        "full_name": "Nicholas Kao",
        "title": "Founder/CEO",
        "founder_bio": "Building an image generation platform.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nick-kao-468540174/",
        "x_url": "https://twitter.com/nicholaskkao",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d3473ace5b059fce9ce86571237c719520c6520.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 82360,
        "title": "Comfy Deploy - ComfyUI for product teams",
        "tagline": "The best way for product teams to build and tailor AI video and image workflows using ComfyUI, then instantly deploy those workflows as APIs.",
        "body": "**Tl;dr: ComfyDeploy is the best way for product teams to build and tailor AI video and image workflows using ComfyUI, which can instantly deploy custom workflows as APIs.**\n\nHey everyone, we're Nick and Benny, the team building [Comfy Deploy](https://comfydeploy.com/).\n\n![uploaded image](/media/?type=post&id=82360&key=user_uploads/1100490/8f04abf6-fad0-4b26-a47e-787c90a1d353)\n\n**Problem**\n\nProduct teams struggle to build AI video and images in their workflows using fragmented tools and inflexible controls from off-the-shelf solutions. ComfyUI is a powerful tool that solves this and gives control back to the user, but there are challenges for teams to use it.\n\n1. Complex Self-Hosting: Setting up and maintaining ComfyUI for teams is technically demanding and time-consuming, distracting teams from their core product development.\n2. Collaboration: ComfyUI wasn't built for teams, making it challenging to share, edit, and run workflows between team members\n3. Hardware Limitations: Running complex AI workflows requires powerful GPUs.\n4. Slow Deployments: Deploying ComfyUI workflows as scalable, production-ready APIs requires significant engineering effort.\n\n**Solution**\n\nWe’ve created the best way for product teams to use ComfyUI to build and tailor their AI image and video workflows with ComfyUI.\n\nKey Benefits:\n\n* Managed platform: Managed ComfyUI workspace, which can install any custom node and model.\n* Team Collaboration:  Work together seamlessly with a team workspace designed for sharing, editing, and running workflows across your team.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXcNRhTqv7BviU3qfODU-KaFSok52ydkxWCrMV813y5m-skIialDxcdGtRwCbzf5A0010pone4K9hksZ6T6jXMFnnKzfcXePzLSyxDBGPRgC8Be93EFNBvXiwIOntNTRn7h8YEgTTBrKW-KDdGvwK347o7qx?key=rJuA09IIbMJlhk3fsFUSzQ)\n\n* Scalable Infrastructure: Powerful cloud GPUs on-demand, with auto-scaling to grow with your team's needs.\n* Instant Deployment: Transform your ComfyUI workflows into scalable, production-ready APIs with just one click; no additional engineering required, with multi-language SDKs.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXc-5ZvNaanpRaps6zvQgIoHsV0fSEbCQ_RLAiUc36ghCGQPPGFGZJ6zHcEuiFmX982pwWewX8QCbvZxc8QxDid-u-wV3-XJBktmUpkeD_pLsnlY_GFY_oMnmz8kcjHEl-Zq1OJ4xhGWrb56FM8ejUl9pMZ3?key=rJuA09IIbMJlhk3fsFUSzQ)\n\nSome wins and testimonials from our users\n\n* _Production time is now up to 300% faster. Producing a complete character pack for Mighty Action Heroes used to take 6 man-weeks. It now takes 1.5 man-week_ - Ben, Chief AI officer, Mighty Bear Games.\n* _ComfyDeploy has laid a lot of the groundwork for us, allowing us to move quickly and save on our engineering budget which is crucial in our fast-paced environment. 10/10, I would highly recommend it_ - Javid, CEO, Secret Desires.\n* _Comfy Deploy comes in and addresses the main barrier to using ComfyUI while also taking it a step further and allowing us to deploy our unique ComfyUI workflows. This allows us to seamlessly integrate image generation into our product, freeing up time to focus on developing our product. Comfy Deploy also comes with tools for sharing, editing, and managing workflows in a collaborative environment, enabling more of our team to get involved in the process of building image generation processes_ - E, AI Applied Engineer, VC backed in stealth.\n\n**How it works**\n\nAccess our managed ComfyUI environment, with pre-configured machines and models. Share and manage your workflows in your team, install custom nodes and models as needed. Deploy your workflows instantly as API and integrate them into your products. \n\n![uploaded image](/media/?type=post&id=82360&key=user_uploads/1100490/6aed708b-21a8-4dcf-a827-596e0f48e13e)\n\n**Why we’re building this**\n\nProduct teams have much to gain from owning and iterating on their own AI pipelines. Benny created the v1 of Comfy Deploy when, as CTO at his previous startup, he saw the issues with the handoff between applied AI artists and engineering. We think this is an exciting tool for product teams to take the first step and develop their skill sets and capabilities with these exciting new tools.\n\n\\\n**The Offer 🤝**\n\nIf your team is interested in using the best way to use ComfyUI for product teams, sign up for a free trial here at <https://www.comfydeploy.com/> and schedule an on-boarding call with us <https://cal.com/team/comfy-deploy/onboarding-call>\n\nContact us at [founders@comfydeploy.com](mailto:founders@comfydeploy.com)",
        "url": "https://www.ycombinator.com/launches/LQO-comfy-deploy-comfyui-for-product-teams",
        "votes": 30,
        "created_at": "2024-07-23T15:22:01.808Z"
      }
    ]
  },
  {
    "id": 29607,
    "name": "ProhostAI",
    "slug": "prohostai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/069321145273b85ba7d87787840c61562c041b8f.png",
    "website": "https://www.prohost.ai/",
    "all_locations": "New York City, NY, USA",
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        "full_name": "Bill Ulammandakh",
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        "full_name": "Andrew Lawson",
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      {
        "id": 101922,
        "title": "ProhostAI 🏨 AI Employees for Property Management and Hospitality",
        "tagline": "Meet ProhostAI — AI employees that answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, and run hospitality operations from one AI-native OS.",
        "body": "Hi YC! I’m Bill from the ProhostAI team.\n\n**TL;DR:** We're launching AI employees for property management and hospitality. They answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, drive bookings, and help run operations — from one AI-native OS. 8,000+ properties on the platform today. Founded by a team from Airbnb, Dropbox, and Guesty (Harvard + Yale) — and we're property managers ourselves, running a $12M AUM portfolio. Backed by Y Combinator, Pear VC, and other investors. [Try it →](https://prohost.ai/ai-employees)\n\n![uploaded image](/media/?type=post&id=101922&key=user_uploads/1847372/9e218d0a-16c5-4285-8de3-e6374d1ad16b)\n\n## The problem\n\nProperty management and hospitality teams still run operations through a tangled stack: inboxes, PMS tools, spreadsheets, phone calls, manual coordination, and a dozen point solutions that don't talk to each other.\n\nThe \"AI\" in this space today is mostly chatbots that answer guest messages. That's a feature, not a workforce.\n\n## What we built\n\nProhostAI's AI employees do real operational work — alongside the humans running the business. They can:\n\n* **Answer guests** across Airbnb, Vrbo, [Booking.com](http://Booking.com), SMS, WhatsApp, email — omnichannel and context-aware\n* **Take and place phone calls**\n* **Create and assign tasks** to teammates\n* **Coordinate cleaners** and schedule turnovers\n* **Power guidebooks** for properties and businesses\n* **Drive bookings and upsells**\n* **Keep human teammates aligned** across operations\n* **Run AI workflows** across the operational lifecycle\n\nOne AI-native OS — built so human teams and AI employees can work side by side.\n\n## The AI employees available for hire:\n\nOur AI employees are available across different professions:\n\n* **Gabby** — Guest Experience Manager\n* **Claudia** — Cleaning Manager\n* **Miles** — Maintenance Manager\n* **Rex** — Revenue Optimizer and PriceLabs auditor\n* **Owen** — Owner Relations Manager\n* **Regina** — Reputation Manager\n* **Grace** — Guidebook Manager\n* **Finn** — Finance Manager\n* **Quinn** — Quality Inspector\n* **Gina** — General Manager\n* **Vera** — Virtual Assistant\n\nHire the ones you need; add more as you scale.\n\n## MCP — bring your own agents\n\nWe ship an MCP (Model Context Protocol) server, so other AI agents — Claude, ChatGPT, custom in-house agents — can collaborate directly with the ProhostAI AI employees. If you've already built AI workflows, plug them in instead of starting over.\n\n## Why now\n\nThe next generation of hospitality companies will be run by human teams working side by side with AI employees. We're starting with short-term rentals because the work is high-volume, repetitive, and deeply operational — exactly where AI teammates make an immediate difference.\n\nFrom there: vacation rental managers, boutique hotels, broader hospitality and property operations.\n\n## Traction\n\nProhostAI now supports **8,000+ properties on the platform**, including paid customers and operators using our feature-rich free plan. Founded by a team from **Airbnb, Dropbox, and Guesty** (Harvard + Yale alumni) — and we're property managers ourselves, running a **$12M AUM short-term rental portfolio**. We use ProhostAI every day. Backed by **Y Combinator, Pear VC, and other investors**.\n\n## Our backstory\n\nWe've been deep in this space and have watched operators copy-paste the same messages thousands of times, miss calls overnight, lose cleanings to chaos, and string together five tools to do what one OS should handle. We built ProhostAI to make AI employees the new labor layer for hospitality — not another dashboard, not another inbox.\n\n## Our ask\n\n* **If you run STR, vacation rentals, or hospitality ops** — connect Airbnb or your PMS and your first AI employee can start helping in minutes: [prohost.ai/ai-employees](https://prohost.ai/ai-employees)\n* **If you know property managers, hosts, or hospitality teams** who'd benefit — please share or intro\n* **If you want to chat** — DM me on Bookface or email [bill@prohost.ai](mailto:bill@prohost.ai)\n* **For press/media:** [press kit (logos, screenshots, GIFs)](https://drive.google.com/drive/folders/1kQEauMZYT4H-fXADYS9bNvgHQ1AjBN7q?usp=sharing)\n\nThanks YC 🚀\n\n— Bill &amp; the ProhostAI team",
        "url": "https://www.ycombinator.com/launches/QVu-prohostai-ai-employees-for-property-management-and-hospitality",
        "votes": 3,
        "created_at": "2026-05-25T14:48:51.997Z"
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      {
        "id": 83739,
        "title": "ProhostAI - AI property manager for Airbnb hosts",
        "tagline": "AI property manager assistant for hosts on Airbnb and other booking platforms.",
        "body": "[**ProhostAI**](https://www.prohost.ai/) **is an AI property manager assistant for hosts on Airbnb and other booking platforms.**  We run 9 Airbnb properties as Superhosts (4.99+ rating) worth $15M, and our AI automations have already cut our own costs by 30% and automated 70% of guest communications.\n\n**Our key features:**\n\n* **AI for Guest Communications:** AI agent drafts responses to every guest message\n* **AI for Maintenance Ticketing & Cleaning Management**\n* **AI for Revenue Generation** with automated guest upsells\n\nAll of this with a first class mobile app, because most hosts manage their properties from their phones!\n\n![uploaded image](/media/?type=post&id=83739&key=user_uploads/1847372/efb9d4f7-c541-47e8-9c1f-505cdfff39c1)\n\n### Our Founding Team\n\n[**Bill**](https://www.linkedin.com/in/bulam/)\n\n* **Bill was a Staff Data Scientist, Algorithms at Airbnb for 6+ years, building AI & ML products** \n  * 3 AI patents for products implemented at Airbnb that drove hundreds of millions in revenue\n* 9+ years total in data science (Etsy, Wayfair, Thumbtack)\n* Undergrad from Harvard\n\n[**Andrew**](https://www.linkedin.com/in/aeriklawson/)\n\n* **Andrew was a Sr Software Engineer at Dropbox for 6+ years,** working on their API Platform handling millions of requests per second \n* 9+ years as a software engineer\n\nWe are Airbnb hosts with 9 properties, 4.99+ ratings across 1000+ guest reviews, and $1.5M/yr revenue. We've been hosts for 5+ years.\n\n### Why we are building ProhostAI\n\n* **70% of things a host has to do can be automated with no intervention today**\n  * Guest communications, cleaning coordination & communication, and maintenance ticket management are repetitive and simple tasks ripe for automation with LLMs and AI agents with a high-quality mobile-first experience.\n* **80%+ of hosts use no SaaS tools yet** but are ready to professionalize their operations with better tools.\n* **Airbnb hosts are digitally native, working from their mobile phones all the time**, and highly likely to adopt new technologies to improve their operations.\n* **SaaS for hosts is a $5B market** with 10 million short-term rental listings globally!\n\n![uploaded image](/media/?type=post&id=83739&key=user_uploads/1847372/219c2d72-5762-4e81-981e-1316c2390e94)\n\n## **🚀Asks**\n\n1. **If you are a host, join our waitlist at** [**prohost.ai**](https://www.prohost.ai) or shoot me an email at [bill@prohost.ai](mailto:bill@prohost.ai)!\n2. **Share our website with others hosts** and have them join our waitlist!\n3. **Follow us on **[**LinkedIn**](https://www.linkedin.com/company/prohostai/)** and **[**X**](https://x.com/prohostAI)**.**\n4. **If you are using Hostaway or Guesty for Pros to manage your properties,** we can get you set up right away! Sign up for a free trial [**here**](https://app.prohost.ai/register) or [**book a demo**](https://calendly.com/bill-prohost/prohostai-demo) ",
        "url": "https://www.ycombinator.com/launches/Lmd-prohostai-ai-property-manager-for-airbnb-hosts",
        "votes": 35,
        "created_at": "2024-09-04T15:36:31.502Z"
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        "full_name": "Darius \"Bubs\" Monsef",
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        "id": 82522,
        "title": "Genie — The best AI sidekick for kids",
        "tagline": "A conversational AI companion that can create generative art, play games, write stories and talk with kids in a safe & age-appropriate way.",
        "body": "Hi, we’re Darius and Asa. We're friends, dads, go-karting rivals, and the cofounders of [Genie](https://www.Genie.gg) — the best AI sidekick for kids. Genie is a conversational AI that encourages creative play and guides kids through the Genieverse, the future of games, media, and social for kids.\n\n**Download our app at:** [**http://genie.gg/app**](http://genie.gg/app)\\\nVisit us at: [www.Genie.gg](http://www.Genie.gg)\n\n**The Genie Team**\n\n[Asa](https://www.linkedin.com/in/asamiller/) and [Darius](http://linkedin.com/in/dariusmonsef) previously cofounded [BraveCare.com](http://BraveCare.com) (YC S19), which raised $40M in funding and enabled more than 50k urgent care visits for kids who were sick or injured— during the pandemic and the recovery years— all while delivering a care experience that maintained a nearly 5-Star score across thousands of reviews.\n\nDarius’ first time through YC was in W10 with [CreativeMarket.com,](http://CreativeMarket.com) which led to an acquisition by Autodesk in ’14. He also cofounded Sightbox, a DTC contact lens service that was acquired by Johnson & Johnson in ’17.\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/b55dcc84-b2d8-4620-a77f-620f8f66d3ff)\n\n**Our vision for a better internet for kids**\n\nAs a father, I want to protect my kids at all times and everywhere they go in the world, and in reality, I can’t. But I can build an AI that keeps them safe everywhere they go online and create a “digital Disneyland” for them to play, explore, and connect in.\n\nLike Jarvis to Ironman, Sox to Buzz Lightyear, or Baymax to Hiro, a child is the hero of their own story, and we’re building them the ultimate sidekick. An AI buddy that has their back in the online world, encourages creative play and helps them learn about anything, at any time, in an age-appropriate way.\n\nSoon, hundreds of millions of kids across the globe will connect on the next platform that’s foundationally powered by AI. We’ve seen it coming for a while, and we’re already building that new space… the Genieverse!\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/366ff304-4c16-476d-b7ae-cb271a5249c9)\n\n**Do something fun with Genie today**\n\n**Create**\\\nGenie is an always-kind, supportive & friendly AI agent that can co-create free-form generative art with kids, and they can create thru other art modes like the “Crazy Food Lab” or “Muppet Monsters.”\n\n**Play**\\\nGenie can also build incredibly imaginative story worlds where kids decide what happens next or play logic puzzles or word games designed to spark kids’ creative and critical thinking. Genie also knows that kids should have time off of their screens and be active out in the world. When there is available screen time, we built Genie to be engaging and creative.\n\n**Learn**\\\nThe internet is an incredible wealth of knowledge and information, but browsers are binary about whether a kid has access to everything… or nothing. Genie is a safe resource for kids who are curious about the world around them. Sometimes a trusted adult isn’t available to ask, or kids feel weird about asking, so Genie makes sure that tricky questions are answered in kind and age-appropriate ways.\n\n**Find “**[**Genie.gg**](http://Genie.gg)**” on the App Store** or click here: [**http://genie.gg/app**](http://genie.gg/app)",
        "url": "https://www.ycombinator.com/launches/LT0-genie-the-best-ai-sidekick-for-kids",
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        "created_at": "2024-07-29T16:57:48.187Z"
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        "url": "https://www.ycombinator.com/companies/hamming-ai/jobs/gxWsyHb-backend-infra-engineer",
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        "title": "Hamming AI Raises $3.8M Seed Round | Hamming AI Blog",
        "url": "https://hamming.ai/blog/hamming-ai-seed-funding-to-make-voice-agents-more-reliable",
        "date": "Dec 18, 2024"
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      {
        "title": "Hamming.ai raises $3.8 million for AI voice agent testing platform",
        "url": "https://www.axios.com/pro/media-deals/2024/12/18/hamming-ai-voice-agent-testing",
        "date": "Dec 18, 2024"
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      {
        "id": 82717,
        "title": "🕵️ Hamming - Automated AI voice agent testing",
        "tagline": "AI voice agent reliability platform: AI voice agent testing, prompt tuning, evals, call analytics",
        "body": "👋 [@Sumanyu Sharma](https://www.linkedin.com/in/sumanyusharma) and [@Marius Buleandra](https://www.linkedin.com/in/mariusbuleandra) from [@Hamming AI](https://www.ycombinator.com/companies/hamming-ai)\n\n**TLDR:** Are you testing your voice agents by hand? We're launching [Automated AI voice agent testing](https://app.hamming.ai/voice-demo) to automatically test your voice agents and flag quality issues in development and production.\n\n🌟 [Click here to try our free Voice Simulations Demo](https://app.hamming.ai/voice-demo) 🌟\n\n## Problem: Making voice agents reliable feels like whack-a-mole\n\nHere's the workflow most teams follow:\n\n1. **Call** your voice agent by hand and find bugs. Slow and ad-hoc.\n2. **Tweak** your voice agents by adding new tools and changing the prompts or models to fix the bugs.\n3. **Call again** to see if the changes worked.\n4. **Detect** regressions when users complain of things breaking in production.\n5. **Repeat** steps 1 to 4 until you get tired.\n\n**Calling your voice agent & finding bugs** is the slowest & most painful part of the feedback loop. This is what we automate.\n\n## Our take: Character AI for voice testing\n\nWe create hundreds of characters that simulate how **real users interact with your voice agents** in real life. For every call, we measure whether our character successfully accomplishes the task (e.g., ordering a vegan burger, canceling next week’s appointment, etc.).\n\nOur automated AI voice agent testing approach is 100x faster, cheaper, and more thorough than manual testing.\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/87b2fbc7-5137-46e5-a948-80b440eba8a6)\n\n### Flag errors & Tag calls in production\n\nYou can log all call transcripts and traces within Hamming. We actively **tag your production calls** in real-time, and flag cases the team needs to double-click on. This helps engineering teams quickly prioritize cases they need to fix.\n\n**Example tags**: human detects that the bot is an AI, a follow-up call is needed, the user requested an urgent appointment, etc.\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/7bf685f0-5348-4c0e-863f-90e3bd4e3f9f)\n\n### Test new changes quickly\n\n**Simulation-driven development**\n\nLet’s imagine you’re building an agent called ‘YC Founder’; we can spin up 100s of VC agents who will try to distract you. You can edit the prompts or models and re-run the simulation to make sure you made progress.\n\nWant to see how you would handle a persistent investor? Try our ‘VC trying to distract founders’ free [demo here](https://app.hamming.ai/voice-demo).\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/a39b0c3e-107d-4808-9096-30dbae4ad3f4)\n\n**Easily create new characters from call transcripts**\n\nWhen customers complain about a bad call, you can locate the call transcript and create a new character in one click. Make a change to your prompt, and then run the simulations to ensure you addressed the bad call.\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/cc3e6632-f482-47f5-aee6-2511b34d441d)\n\n## Meet the team\n\n[Sumanyu](https://www.linkedin.com/in/sumanyusharma/) previously helped Citizen (safety app; backed by Founders Fund, Sequoia, 8VC) grow its users by 4X and grew an AI-powered sales program to $100s of millions in revenue/year at Tesla.\n\n[Marius](https://www.linkedin.com/in/mariusbuleandra/) previously ran data infrastructure @ Anduril, drove user growth at Citizen with Sumanyu and was a founding engineer @ Spell (MLOps startup acquired by Reddit).\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/92a125e1-9612-4c4f-bb2d-1ab88aa9b24a)\n\n# Summary\n\nWe previously launched [Prompt Optimizer](https://www.ycombinator.com/launches/L4V-hamming-let-ai-optimize-your-prompts-free-for-7-days) and [AI Experimentation Tools](https://www.ycombinator.com/launches/LHa-hamming-make-your-rag-ai-agents-reliable) to automate prompt engineering and make RAG pipelines more robust. In this launch, we show how you can test your voice agents quickly.\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/674bd4d5-4041-4466-821e-f62328e440c4)\n\n# Our offer\n\n**Personalized characters + 100 free calls.** Struggling to make your voice agents reliable? We’ll create personalized characters and call + stress test your system \\~100 times for free. Book time with us [here.](https://calendly.com/sumanyusharma/1-1-debug-session)\n\nQuestions? Email us [here](mailto:sumanyu@hamming.ai) or chat with us [here](https://calendly.com/sumanyusharma/30min).",
        "url": "https://www.ycombinator.com/launches/LW9-hamming-automated-ai-voice-agent-testing",
        "votes": 57,
        "created_at": "2024-08-05T01:45:12.663Z"
      },
      {
        "id": 81814,
        "title": "🚀 Hamming - Make your RAG & AI agents reliable",
        "tagline": "The only end-to-end AI development platform you need: prompt management, evals, observability",
        "body": "👋 [@Sumanyu Sharma](https://www.linkedin.com/in/sumanyusharma) and [@Marius Buleandra](https://www.linkedin.com/in/mariusbuleandra) from [@Hamming AI](https://www.ycombinator.com/companies/hamming-ai)\n\n**TLDR:** Are you struggling to make your RAG & AI agents reliable? We're launching our [AI Optimization Platform](https://app.hamming.ai) to help eng teams speed up iteration velocity, root-cause bad AI outputs, and prevent regressions.\n\n🌟 [Click here to try our AI Optimization Platform](https://app.hamming.ai) 🌟\n\n## Our thesis: Experimentation drives reliability\n\nPreviously, [Marius](https://www.linkedin.com/in/mariusbuleandra/) and I ran growth-focused eng and data teams at Tesla, Citizen, Spell & Anduril. We learned that running experiments is the best way to move a metric. More experiments = more growth.\n\nLast year, we shipped 10+ RAG & AI agents to production. We found the same pattern holds when building reliable AI products. More experiments = more reliability = more retention for your AI products.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/96653f00-344f-46b7-92da-7530f0302ae0)\n\n## Problem: Making RAG and AI agents reliable feels like whack-a-mole\n\nHere's the workflow most teams follow:\n\n1. **Tweak** your RAG or AI agents by indexing new documents, adding new tools, changing the prompts, models or other business logic.\n2. **Eyeball** how well your changes improved a handful of examples you wanted to fix. Often ad-hoc and slow.\n3. **Ship** the changes if they worked.\n4. **Detect** regressions when users complain of things breaking in production.\n5. **Repeat** steps 1 to 4 until you get tired.\n\nSteps 2 and 4 are often the slowest & most painful parts of the feedback loop. This is what we tackle.\n\n## Our take: Use LLMs as judges to speed up iteration velocity\n\nWe use LLMs to score the outputs of other LLMs. This is the fastest way to speed up the feedback loop.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/1e6dff78-03d8-4add-9a74-7382a9733147)\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/46cb1626-03be-4b9e-9218-c86aa4794b1f)\n\n### Flag errors in production before customers notice\n\nWe go beyond passive LLM / trace-level monitoring. We actively **score your production outputs** in real time and **flag cases** the team needs to double-click on. This helps eng teams quickly prioritize cases they need to fix.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/69edba93-dfb5-448d-8215-c3f3cb81402b)\n\n### Test new changes quickly while developing and prevent regressions from reaching users\n\nWe make offline evaluations easy, so you can change your system and get feedback in minutes.\n\n**Eval-driven prompt iteration**\n\nRapidly iterate with new prompts and models in our prompt playground with first-class support for function-calling. Run evals so you know your changes are improving things.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/89972e98-9709-47b1-b887-7c02a1af51a1)\n\n**Deploy prompt changes without code change**\n\nWe keep track of all prompt versions and update your prompts on the fly without needing a code change.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/94c56689-bac3-4e05-bb13-22234edce861)\n\n**Easily create golden datasets**\n\nOffline evaluations are bottlenecked on a high-quality golden dataset of input/output pairs. We support converting production traces to dataset examples in one click.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/4d849d21-b8e6-4beb-8617-215296de422a)\n\n**Diagnose between retrieval, reasoning or function-calling errors quickly**\n\nDifferentiating between retrieval, reasoning, and function-calling errors is time-consuming. We score each retrieved context on metrics like hallucination, recall, and precision to help you prioritize your eng efforts where it matters.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/afb539a0-1a67-4050-8733-387b03a536e6)\n\n**Override AI scores**\n\nSometimes our AI scores disagree with your definition of \"good\". We make it easy to override our scores with your preferences. Our AI scorer learns from your feedback.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/8227f0e2-e20d-4d2b-8ab6-aa413ec7efe6)\n\n## Meet the team\n\n[Sumanyu](https://www.linkedin.com/in/sumanyusharma/) previously helped Citizen (safety app; backed by Founders Fund, Sequoia, 8VC) grow its users by 4X and grew an AI-powered sales program to $100s of millions in revenue/year at Tesla.\n\n[Marius](https://www.linkedin.com/in/mariusbuleandra/) previously ran data infrastructure @ Anduril, drove user growth at Citizen with Sumanyu and was a founding engineer @ Spell (MLOps startup acquired by Reddit).\n\n![Sumanyu & Marius](https://bookface.ycombinator.com/media/?type=post&id=81814&key=user_uploads/497858/750619c5-790d-4ba7-a4a4-e60c8f520506)\n\n## Our offer\n\nWe previously launched [Prompt Optimizer](https://www.ycombinator.com/launches/L4V-hamming-let-ai-optimize-your-prompts-free-for-7-days) on launch YC, which saves 80% of manual prompt engineering effort. In this launch, we show how teams use Hamming to build reliable RAG and AI agents.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/234292dd-27c0-4073-8082-7fc0340f1221)\n\n**Free 1:1 Debug session.** Struggling with making your RAG/agents reliable? We're offering a complementary 1:1 RAG/agent debugging session. Book time with us [here.](https://calendly.com/sumanyusharma/1-1-debug-session)\n\nQuestions? Email us [here](mailto:sumanyu@hamming.ai) or chat with us [here](https://calendly.com/sumanyusharma/30min).",
        "url": "https://www.ycombinator.com/launches/LHa-hamming-make-your-rag-ai-agents-reliable",
        "votes": 118,
        "created_at": "2024-06-28T01:28:56.750Z"
      },
      {
        "id": 81003,
        "title": "🚀 Hamming - Let AI optimize your prompts (free for 7 days)",
        "tagline": "Automate 90% of manual prompt engineering using our self-improving prompt optimizer.",
        "body": "👋 Sumanyu and Marius from [Hamming AI](https://www.ycombinator.com/companies/hamming-ai); we're part of the upcoming S24 batch!\n\n**TLDR:** Are you spending a lot of time optimizing prompts by hand? We're launching our [Prompt Optimizer](https://app.hamming.ai/prompt-optimizer) (new feature in beta) to automate prompt engineering. It's completely free for 7 days!\n\n🌟 [Click here to try our Prompt Optimizer](https://app.hamming.ai/prompt-optimizer) 🌟\n\n## Convert your task into an optimized prompt in minutes\n\n![uploaded image](/media/?type=post&id=81003&key=user_uploads/497858/ea14e339-7092-4166-b6c5-53b667cd5b5b)\n\n**Thought experiment:** What if we used LLMs to optimize prompts for other LLMs?\n\n![Meme](/media/?type=post&id=81003&key=user_uploads/497858/d24f5e83-d01f-433c-96fb-35b209c44b78)\n\n## Problem: Writing prompts by hand is tedious\n\nWriting high-quality and performant prompts by hand requires enormous trial and error. Here's the usual workflow:\n\n1. **Write** an initial prompt.\n2. **Measure** how well it performs on a few examples in a prompt playground. Bonus points if you use an experimentation platform like [Hamming](https://hamming.ai) to automate this flow.\n3. **Tweak** the prompt by hand to handle cases where it's failing.\n4. **Repeat** steps 2 & 3 until you get tired of wordsmithing.\n\nWhat's worse, new model versions often break previously working prompts. Or, say you want to switch from OpenAI GPT3.5 Turbo to Llama 3. You need to re-optimize your prompts by hand. ❌\n\n## Our take: use LLMs to write optimized prompts\n\nDescribe your task, add examples, or let us synthetically create some, and click run.\n\n![Prompt Optimizer Demo](https://hamming.ai/images/prompt-optimizer-demo-2-trimmed.gif)\n\nBehind the scenes, we use LLMs to generate different prompt variants. Our LLM judge measures how well a particular prompt solves the task. We capture outlier examples and use them to improve the few-shot examples in the prompt. We run several \"trials\" to refine the prompts iteratively.\n\n**Benefits:**\n\n* No more tedious word-smithing.\n* No more scoring outputs by hand.\n* No need to remember to tip your LLM or ask it to think carefully step-by-step.\n\n## Meet the team\n\n[Sumanyu](https://www.linkedin.com/in/sumanyusharma/) previously helped Citizen (a safety app; backed by Founders Fund, Sequoia, 8VC) grow its users by 4X and grew an AI-powered sales program to $100s of millions in revenue/year at Tesla.\n\n[Marius](https://www.linkedin.com/in/mariusbuleandra/) previously ran data infrastructure @ Anduril, drove user growth at Citizen with Sumanyu, and was a founding engineer @ Spell (an MLOps startup acquired by Reddit).\n\n![Sumanyu & Marius](/media/?type=post&id=81003&key=user_uploads/497858/750619c5-790d-4ba7-a4a4-e60c8f520506)\n\n## Our ask\n\nIn this launch, we showed how we help teams optimize each prompt. In our next launch, we'll walk through how teams use Hamming to optimize their entire AI app.\n\n* **Feedback.** We want you to throw real-world tasks at our optimizer and tell us what's working and where we can improve.\n* **Warm intros.** We'd love intros to anyone you know who writes a lot of prompts by hand or cares about solving AI reliability (including you!)\n\n![uploaded image](/media/?type=post&id=81003&key=user_uploads/497858/d11a6a2d-9b13-471e-974a-332f7ef5bc2f)\n\n## Email us [here](mailto:sumanyu@hamming.ai).\n\n## Book time on our [calendly](https://calendly.com/sumanyusharma/30min).",
        "url": "https://www.ycombinator.com/launches/L4V-hamming-let-ai-optimize-your-prompts-free-for-7-days",
        "votes": 84,
        "created_at": "2024-05-21T16:25:15.789Z"
      }
    ]
  },
  {
    "id": 29623,
    "name": "Entangl",
    "slug": "entangl",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5593913bae70a1285b652709232688417e1071ac.png",
    "website": "https://www.entangl.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Entangl uses AI to detect and automatically resolve issues in data center engineering and operations, ensuring efficiency and uptime. ",
    "one_liner": "Find & resolve issues in data center engineering & operations using AI",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1716219164,
    "tags": [
      "Enterprise Software",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/entangl",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/entangl.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/entangl",
    "x_url": "https://twitter.com/Entangl_AI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/entangl",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5593913bae70a1285b652709232688417e1071ac.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 533860,
        "full_name": "Shapol M",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Entangl. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shapol",
        "x_url": "https://twitter.com/Shapol_m",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d51f52ae31d3904f1480fb565c673d80836be24.jpg"
      }
    ],
    "jobs": [
      {
        "id": 93501,
        "title": "Jony Ive",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/Mmxt1jv-jony-ive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$120K - $180K",
        "equity_range": "1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Figma",
          "Svelte"
        ]
      },
      {
        "id": 93502,
        "title": "Jony Ive",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/snSaa27-jony-ive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$120K - $180K",
        "equity_range": "1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Figma",
          "Svelte"
        ]
      },
      {
        "id": 97599,
        "title": "Bill McDermott (Account Executive)",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/7WIZ9Gt-bill-mcdermott-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97630,
        "title": "Greg Brockman",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/s6zm6uT-greg-brockman",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98981,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/JwshcnN-account-executive",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$130K - $350K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98982,
        "title": "Sales Development Rep (SDR)",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/ffkLbxN-sales-development-rep-sdr",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $100K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110929,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/CJBPxvX-full-stack-engineer",
        "location": "San Francisco, CA, US / SG / Remote (US; SG)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111026,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/nu9J4uA-full-stack-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111027,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/Jn36xh5-full-stack-engineer",
        "location": "Boston, MA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111028,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/kLor7KK-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111290,
        "title": "Executive Assistant",
        "url": "https://www.ycombinator.com/companies/entangl/jobs/gzwUmD9-executive-assistant",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $140K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": []
  },
  {
    "id": 29627,
    "name": "Codes Health",
    "slug": "codes-health",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae2e103cef868d10d11f8eda1c9371448e8a4640.png",
    "website": "https://www.codeshealth.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Codes automates medical record retrieval. Today, documents are scattered across EHRs, providers, and faxes; we use AI to retrieve & analyze docs for law firms, providers, and more. ",
    "one_liner": "Medical Record Retrieval with Zero Human Error",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1721954121,
    "tags": [
      "Health Tech",
      "B2B",
      "LegalTech",
      "AI"
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        "body": "**_Software is like playdough. It morphs into the creators desires._**\n\n**_Or at least it should._**\n\nThis is what fundamentally drives us as a company. We believe that software development should stay in the hands of people. We believe that there is near infinite software the world needs and that there are not enough developers to build it.\n\nThis leads us to the problem we are solving. _We are making it possible for the next 20 million engineers to come online._ We believe AI tools can be used to create jobs, not replace them. And we believe that open-source tools will continue to be the path forward for developers.\n\nMost software agent companies have deeply optimized for swe-bench. However, this is not a representative task. We are building tooling we actually use. It’s written parts of itself already and we are extremely excited to share it with you.\n\n**How are we building this?**\n\nOur approach is to start with the IDE. Developers are most comfortable in the ide, so that’s where we are starting. We are integrating our agent directly, and it is able to make changes across massive codebases (below is it writing a feature in the cal\\[.\\]com codebase which is 1,155,075 lines long at the time of writing).\n\nSo, we are making an agent that is capable of _living in your codebase_ with almost perfect context.\n\nIt’s not just autocomplete. It’s not just chat with your codebase. It’s something beyond a software workflow. Our tooling makes the code feel fluid.\n\n_And thats special._\n\nHere it is editing the codebase:\n\n![uploaded image](/media/?type=post&id=83813&key=user_uploads/1255731/4031240e-27ca-4452-9c69-a36670ddd18f)\n\n\nHere is the resulting component:\n\n![uploaded image](/media/?type=post&id=83813&key=user_uploads/1255731/60472093-b735-42ec-a6b5-36aa98691331)\n\n**Our ask!**\n\n1. If you’re interested in using our tool once it launches, please join the waitlist here: <https://akfucniuesi.typeform.com/to/xz8C2Jpg>\n2. If you’re interested in helping us build this, PLEASE reach out at [founders@randomlabs.ai](mailto:hello@randomlabs.ai)",
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        "title": "DigitalCarbon: Transform images and videos into immersive 3D with AI",
        "tagline": "Unreal Engine meets Matterport with no hardware.",
        "body": "Hey everyone! We're [Guru](https://linkedin.com/in/gururao1) and [Michael](https://www.linkedin.com/in/michaelpnguyen/) from [DigitalCarbon](https://www.digitalcarbon.ai/).\\\n\\\n**Tl;dr**\\\nDigitalCarbon transforms images and videos into photorealistic, editable 3D scenes. Create virtual home tours or show off products in 3D using just your phone - no special gear needed!\n\n[ ](https://www.youtube.com/watch?v=c2Pw63zE94I)\n\\\n**❌ The Problem: Creating 3D environments is complex and slow**\n\nBillions of images and videos are captured daily, but turning them into immersive 3D experiences is challenging:\n\n* Requires specialized, expensive equipment\n* Rendering is painfully slow, limiting real-time applications\n* Expertise needed to create and edit 3D scenes\n\nThis complexity has restricted 3D technology adoption across industries, leaving immense potential untapped.\n\n**🚀 Our Solution**\n\nDigitalCarbon turns ordinary photos and videos into interactive, photorealistic 3D environments - all rendered at 100+ FPS on everyday devices.\n\n**With DigitalCarbon, you can:** \\\n❌ Eliminate need for specialized hardware \\\n❌ Eliminate slow rendering times \\\n❌ Eliminate complex 3D modeling skills \\\n✅ Create 3D scenes from simple 2D inputs\\\n✅ Edit and customize 3D environments easily \\\n✅ Deploy across multiple platforms instantly\n\n\\\n**🌟 Transform Your Industry:** \\\n🏠 Real Estate: Create lifelike virtual property tours\\\n🛒 E-commerce: Offer interactive 3D product visualizations \\\n✈️ Tourism: Provide immersive destination previews \\\n🚁 Drone Mapping: Enhance aerial surveys with detailed 3D models\\\n\\\n**🙌 Our Asks**\n\n🧪 Beta Testers: If you're in Real Estate or E-commerce, we'd love your feedback on our platform!\n\n🤝 Intros: Know decision-makers in PropTech or E-commerce? We'd appreciate an intro.\n\nCheck out our demos at [**digitalcarbon.ai**](http://digitalcarbon.ai/) or email us at [**founders@digitalcarbon.ai**](mailto:founders@digitalcarbon.ai).",
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        "votes": 25,
        "created_at": "2024-09-04T12:11:56.482Z"
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        "body": "**TLDR;**  [Flyflow](https://flyflow.ai/) enables companies to find prospective customers using AI workflows instead of drowning in tables.\n\nCheck it out (and find companies in <5 minutes). [Sign up and try our product for free](http://app.flyflow.ai), yes free!\\\n**Impact**\n\n> I don't know how I would have found these leads myself.\n>\n> \\-Varsha Ramesh Walsh, CEO, Offstream\n\n> Flyflow did the best job possible finding companies in what is probably a non-existent niche.\n>\n> \\-Peter Marler, CEO, Unit IQ\n\n> Flyflow has helped us surface the signals that matter most in customer qualification. Our lead list is already better than what we've been working off before.\n>\n> \\-Ankit Singhal, CEO, Arctic Capture\n\nOver the last three weeks, we’ve worked with \\~30 companies in our batch and dozens more at larger companies. Our customers have significantly improved their lead sourcing process, now focus on higher-quality leads, and will soon have increased sales. Join the fun!\n\n**Demo**\n\n![uploaded image](/media/?type=post&id=83356&key=user_uploads/1656308/c3a9ab6a-93d8-41d0-b8db-f3d81a1621df)\n\nImagine if you could find your ideal prospects quickly, automating the manual web research and filtering that you’re doing now. You would never have to learn how to use Apollo, Clay, Linkedin Sales Navigator, Instantly, or other sales tools. Our system includes lookalike search, meta-data filtering, and concise lead notes.\n\n**Your team could be finding high-quality leads, today**\n\nWe'd love for you to [try our platform](https://app.flyflow.ai), see you improve your sales pipeline, and hear any feedback you have.\n\nMention us: If you like what you see, mention us in Slack groups/social where sales leaders, SDRs, or startup founders hang out.\n\n**Wait, but why**\n\nOur journey began with a tale as old as time: we were struggling to sell enterprise contracts for our AI voice product. Even finding companies who perfectly fit our Ideal Customer Profile (ICP) required hours of manual work to research each company to see if the size, product, and team were a good fit for us. THEN we had to get a meeting. \n\nWe even stopped building so that we could “focus on GTM” ☠️. None of the sales tools we tried solved this for us.\n\nThis experience led us to develop Flyflow. Our vision is to make high-quality lead sourcing accessible to everyone, without feeling like you need to learn a new set of tools.",
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        "body": "**TLDR**: [**Callback**](https://getcallback.ai) **is the first AI-native BPO built using a modern tech stack.**\n\nOur software platform helps our customers stay focused on their core business by automating their ops processes with humans in the loop. We’ve handled tasks such as image labeling, invoice extraction, and PDF report parsing — with greater accuracy and speed than traditional BPOs or off-the-shelf software solutions. \n\n**Our team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeL3DPnORZSaPrv35S-22CdX2ZrxP9_EvxYzclxFTf4dxbob11k6g3VvRBAZcRLO3nXcu_LDpZmaZ_kKdYx00-KBKrk8uzJ5GqjASkFm05A_BDtSjGfDWMqZ16w2IP469vR0CfuGP2RHou2QoZ6rHAqPv0?key=rS2cFpGt_BWtrYrVA_wlvw)\n\n[Alan Xie](https://www.linkedin.com/in/alanrxie/) was a senior product manager at AWS and Microsoft, where he built enterprise productivity software used by hundreds of millions of people. He holds computer science degrees from Harvard and Columbia, as well as an MBA from Harvard Business School.\n\n[Paulo Bautista](https://www.linkedin.com/in/paulobautista/) was the first employee and Head of Business Operations at Ninja Van in the Philippines, where he managed a team of several hundred delivery couriers and grew the business to 8 figures in annual revenue. Before YC, he ran an 800-person call center as the Director of Operations and Strategy for a late-stage restaurant tech startup. Paulo studied Business Economics at the University of the Philippines and holds an MBA from Harvard Business School.\n\n**Why are we building Callback?** \n\nAs companies grow, they naturally accumulate process overhead involving manual, repetitive operations tasks. Outsourcing these processes to BPOs requires months of coordination, training, and QA — friction that only the largest multinational corporations can tolerate. \n\nWe empower **companies of all sizes** to offload their manual processes onto our platform. Callback is a software layer for business operations that makes your processes more **transparent**, **efficient**, and **cost-effective**. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXerz8QHBBJ7s8VeO6FMk5ZD43yxGNXTCfbO727NYabKPet-cckWwJEbP9eKkHDAdv-JUu1mnzYrC-gxCNxYgZCUp4jt4AOILGazXQLoCIG3SsbL5JMT73ZuzGViPAJyknEVRvM-UeYNTHAvwBnXavIU_igy?key=rS2cFpGt_BWtrYrVA_wlvw)\n\nOnboarding onto our platform is straightforward:\n\n1. Customers define a specific process workflow as a **Blueprint**\n2. They execute **Jobs** based on their Blueprints\n3. Jobs rely on pre-defined **automation** as well as **human QA**\n\nDo you have any ops processes you wish you could delegate? Unstructured data that you need to turn into a specific structured format? Email us at [founders@getcallback.ai](mailto:founders@getcallback.ai) or book time with us [here](https://calendly.com/paulo-getcallback/can-you-do-this-for-me).",
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        "body": "# **TL;DR**\n\nTabular uses AI to automate the core workflows of accounting firms, starting in Europe. We generate zero-touch bookings on top of existing accounting software. This involves a range of tasks like classifying documents, determining VAT filings and selecting the correct booking accounts.\n\n# **Problem: manual work x acute labour shortage**\n\nOur customers use Tabular to save time on manual tasks, helping them address the acute labor shortage. Much of SMB accounting is still done by hand, but every second accounting firm has unfilled positions, causing them to lose out on revenue. Customers tell us they reject 5-10 new clients every week and have to drop existing ones whenever a bookkeeper retires. \n\n# **Why now? LLMs are a game changer for accounting**\n\nFor the first time, LLMs allow us to offer a step change in automation, reducing the time it takes to do an SMB’s book from hours to minutes. Previous generations of AI struggled with the highly variable and unstructured nature of SMB accounting data – but LLMs excel at precisely these tasks. Their ability to ingest large amounts of context about the nature of the business and transaction at hand, allows them to accurately reason through the many small accounting decisions required for every invoice. \n\n# **Solution: Accounting Autopilot**\n\nOur first product is an accounts payables autopilot sitting on top of incumbent accounting software.  Users bulk upload hundreds of invoices. We sort through the documents, analyse the tax situation, and generate finished bookings. After reviewing edge cases, users export the books with just one click. Our product is already saving time for accounting firms in Germany:\n\n> _As a modern firm, we need to use the most innovative software. Tabular saves us hours each week by automating split receipts and complex wholesaler invoices from the very first use._\n\n\\- Tim Kieserling from [HeyTax,](https://www.hey-tax.de/) a 40-person firm\n\n![uploaded image](/media/?type=post&id=83192&key=user_uploads/1640667/c46a693c-a6ee-4713-be4c-d2dc69db050e)\n\n# **Team**\n\n[**Markus**](https://linkedin.com/in/markus-jungnickel) - studied Law & Business at Cambridge, where he graduated top of his class, and holds an MSc in Computing Science from Imperial College. He previously worked on launching new financial services at the European fintech unicorn [Trade Republic](https://traderepublic.com/en-de) (backed by Sequoia, Founders Fund, Creandum).\n\n[**Kilian**](https://linkedin.com/in/kilian-j) - launched tax filing products in two new markets at [Taxfix](https://taxfix.de/en/) (Index, TGV) as a product manager and was employee #1 at [genova.ai](http://genova.ai), a B2C AI product studio. He studied at Williams College and Oxford.\n\n[**Tim**](https://www.linkedin.com/in/tim-hermes/) - launched and scaled automation for the same customer group before. At Taxfix, he built the “[Tax Advisor Product Vertical”](https://taxfix.de/en/how-it-works/) as GPM from 0 to multiple million ARR in under 12 months, by automating income tax filing for tax advisors. Now, he has set out to automate accounting for them.\n\n# **Ask**\n\n* Join us on [LinkedIn](https://www.linkedin.com/company/tabular-gmbh)\n* Connect us with German accounting firms and SMBs who are unhappy with their accounting setup\n* Reach out to us via email ([founders@gotabular.de](mailto:founders@gotabular.de))",
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      {
        "user_id": 1977434,
        "full_name": "Alex Maass",
        "title": "Founder",
        "founder_bio": "Prior to Invaria, Alex spent 9 years at Palantir as a Forward Deployed Engineering Lead and as a Production Engineering Manager. He has led globally distributed teams to deliver client facing projects across diverse industries. As a Production Engineering Manager, Alex led and grew the EMEA team and was responsible for special projects with some of Palantir's most critical clients. Prior to Palantir, Alex had hardware engineering internships at Nvidia and MSI.",
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      {
        "id": 83144,
        "title": "Patchwork Technologies: Automated logging from code to storage",
        "tagline": "We make it simple to implement actionable, context-rich logging across your entire codebase.",
        "body": "[Patchwork](https://getpatchwork.io/) automates logging from code to storage. Developers no longer need to manually write or re-write logs — Patchwork does it for them. Actionable, context-rich, secure logs can become the new standard across your entire codebase.\n\nThe product currently works with Java, Go, Python, Ruby, TypeScript, JavaScript, Scala, and Kotlin.\n\n<https://youtu.be/70Pnfu8HHHQ>\n\n# **The Problem with Logs**\n\nManually instrumenting code with logging is time-consuming and tedious. Unlike building features, logging doesn’t earn promotions. Logs are written by developers but consumed by SREs and security engineers once in production.\n\nPicture this: a critical incident strikes at 2 AM. Your SREs are scrambling, frantically searching through a mess of inconsistent logs, trying to piece together what went wrong. Sound familiar? That’s because logging, as it stands today, is broken.\n\nEmpires like Splunk have been built on the premise that messy logs are a fact of life and you therefore need to fork out for best-in-class indexing and querying. We say it’s time to tackle this problem at the source.\n\n![uploaded image](/media/?type=post&id=83144&key=user_uploads/1666763/dc25e534-00d3-4b8d-91ab-dba6bf902905)\n\n**Patchwork: Logging, _Un_\\-imagined**\n\nWith Patchwork, developers can focus on building features while our product ensures that every log is context-rich, actionable, and secure. Developers can un-imagine logs, forever.\n\nPatchwork works in the background, reviewing your existing codebase and stepping in during continuous integration to ensure that your new code meets your engineering standards.\n\nOur product is flexible, but in our experience, good logs:\n\n* Are context-rich and actionable,\n* Explain what the failed method was attempting (the intent),\n* Provide the context in which it failed (the state of all relevant variables),\n* Use a structured format,\n* Handle sensitive information gracefully (never include tokens/passwords, label or exclude, e.g., personal information).\n\nOur mission is to provide a few-click, automated journey to implement logging from code through to storage.\n\n# **Our Ask: Give an SRE a Hug**\n\nAnd then, help them out by giving them our email – [founders@getpatchwork.io](mailto:founders@patchwork.io). We’d love to connect with Senior SREs and VPs of Engineering – in our experience, they really get it.\n\nCheck out how we think at our [blog.](https://www.getpatchwork.io/post/the-problem-with-logs)\n\n![uploaded image](/media/?type=post&id=83144&key=user_uploads/1666763/fee73b48-c706-4393-a215-ff9dace4edfe)\n\n# **Our Story**\n\nThe Patchwork founders ([Ben](https://www.linkedin.com/in/benjaminfhall/), [Sam,](https://www.linkedin.com/in/sam-kramer-4263189a/) and [Alex](https://www.linkedin.com/in/alexmaass/)) met while working at Palantir. That translates to _met while delivering product and outcomes to demanding customers, at massive data and infra scale, under tight timelines_. Late-night debugging sessions at Palantir taught us that good logs are priceless.\n\n![uploaded image](/media/?type=post&id=83144&key=user_uploads/1666763/25c4d414-95ab-4572-bb3a-05f90868ced0)\n\n# ",
        "url": "https://www.ycombinator.com/launches/Ld2-patchwork-technologies-automated-logging-from-code-to-storage",
        "votes": 29,
        "created_at": "2024-08-17T00:34:12.169Z"
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    "id": 29642,
    "name": "Hexclave",
    "slug": "hexclave",
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    "long_description": "https://hexclave.com",
    "one_liner": "The user infrastructure platform",
    "team_size": 7,
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/102201169",
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        "full_name": "Konstantin Wohlwend",
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        "founder_bio": "Making infrastructure for builders at Hexclave.\n\nPreviously 2x YC, ETH Zurich, Google, Jane Street, Bloomberg.\n\nhttps://x.com/konstiwohlwend\n\nhttps://n2d4.github.io 👋",
        "is_active": true,
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      {
        "id": 82541,
        "title": "Stack Auth — Open-source user authentication that doesn't suck",
        "tagline": "The open-source alternative to Auth0, Clerk, and Firebase Auth. Fully managed & supports authorization.",
        "body": "**Docs**: [https://docs.stack-auth.com](https://docs.stack-auth.com/)\\\n**Star us on GitHub**: <https://github.com/stack-auth/stack> \n\n![uploaded image](/media/?type=post&id=82541&key=user_uploads/1147249/8ef50525-682e-424a-8fab-58e64897602c)\n\nHi all! We're [Zai](https://www.linkedin.com/in/zaishi) and [Konsti](https://www.linkedin.com/in/stan-wohlwend-b30340167/), and we’re repeat founders who believe that devtools must be dev-friendly.\n\nUser authentication _sucks_. Existing solutions are a pain to set up and have hostile pricing, terrible documentation, and vendor lock-in. The few good solutions that exist only do authentication and don't even touch **authorization** or **user management**.\n\nStack Auth was born out of years of frustration. We wanted to build something better.\n\nIf you're building B2B software, we'll deal with **organizations**, **permissions**, and **RBAC** for you.\n\nIf you're building a Next.js app, we have **React components** for sign-in, password reset flows, and all sorts of things like account settings and teams. And they're customizable.\n\nOther features include:\n\n* **100% open-source** and self-hostable, though we also provide a Cloud service\n* **User dashboard** to view, modify, and understand your users\n* **Multi-tenancy** for your business customers\n* **Access token management** for APIs of OAuth services that users connect with\n* **Impersonation** to log in as one of your own customers for debugging and live support\n* **Webhooks** to sync your data with other systems like databases or Slack\n* **Customizable e-mails** on triggers such as user sign-up\n* **Flexible REST API** for use with any backend\n\nInterested? Check out [our website](https://stack-auth.com/) or [schedule a call](http://cal.com/team/stack/chat). Or take a look at the screenshots below.\n\nThanks all!\n\n![uploaded image](/media/?type=post&id=82541&key=user_uploads/1147249/7d1ffe2b-bec6-487c-8c91-edf4e13cee71)\n\n![uploaded image](/media/?type=post&id=82541&key=user_uploads/1147249/514ca5a4-fe6a-4482-b88e-a75cf6127627)\n\n![uploaded image](/media/?type=post&id=82541&key=user_uploads/1147249/f8d922e0-3594-442f-bc96-ed852a2e2205)\n\n",
        "url": "https://www.ycombinator.com/launches/LTJ-stack-auth-open-source-user-authentication-that-doesn-t-suck",
        "votes": 58,
        "created_at": "2024-07-29T22:15:05.983Z"
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    "name": "VideoGen",
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    "website": "https://videogen.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "VideoGen makes it easy for anyone to create professional, copyright-free videos in seconds. Our AI video generator turns a prompt, script, or article into a finished video, complete with AI voiceover, subtitles, and b-roll, powered by the latest models like Seedance, Veo, ElevenLabs, and Kling. Today, over 5 million users trust VideoGen, from individuals and small businesses to teams at Google and ByteDance.\r\n\r\nMaking videos is hard, time-consuming, and expensive if you hire someone to do it for you. With VideoGen, it only takes a few clicks! Try it at https://videogen.io/, or build video into your own product with our API: https://videogen.io/videogen-api",
    "one_liner": "Create professional videos in minutes with AI, online or via API",
    "team_size": 6,
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    "subindustry": "B2B",
    "launched_at": 1725431613,
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        "answer": "👋 Hello, we’re Anton and David. We bootstrapped VideoGen out of our college dorm rooms to over 1 million users in under a year. We met at a Tennis Academy in middle school and became friends over a shared passion for building web apps and playing tennis. Now, we’re changing the way the world creates videos with the help of AI."
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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        "full_name": "Anton Koenig",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of VideoGen. I previously interned at AWS and dropped out of UMass Amherst Computer Science to focus on VideoGen full-time.",
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        "full_name": "David Grossman",
        "title": "Founder/CTO",
        "founder_bio": "I'm the cofounder and CTO of VideoGen (S24), a platform for generating professional videos using AI. Before this, I studied Computer Science and Applied Math at Brown and interned at Palantir.",
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        "id": 98091,
        "title": "Founding Growth Lead",
        "url": "https://www.ycombinator.com/companies/videogen/jobs/F4gBXxU-founding-growth-lead",
        "location": "San Francisco, CA / Remote (US; GB)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$175K - $225K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
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      {
        "id": 83780,
        "title": "VideoGen – Generate professional videos in seconds",
        "tagline": "Introducing VideoGen, the world's first AI that can create and edit videos for you.",
        "body": "<https://www.youtube.com/watch?v=unJnvJqdN28>\n\n**TLDR:** [VideoGen](https://videogen.io) makes it easy for anyone to create professional, copyright-free videos in seconds. Today, we serve thousands of customers, from individuals and small businesses to teams at Google and ByteDance. Making videos is hard, time-consuming, and expensive when outsourced. With VideoGen, it only takes a few clicks!\n\n![uploaded image](/media/?type=post&id=83780&key=user_uploads/1009656/0cd0d883-05cf-413b-b11b-aca79175e512)\n\n👋 Hello, we’re Anton and David. We bootstrapped VideoGen out of our college dorm rooms to over 1 million users in under a year. We met at a tennis academy in middle school and became friends through our shared passion for building web apps and playing tennis. Now, we’re changing how the world creates videos with the help of AI.\n\n### **The Problem: Creating videos is tedious, painful, and hard.**\n\nMaking videos is hard. Each step of the process—scripting, recording voice-overs, finding and licensing high-quality footage, and editing—is extremely time-consuming.\n\nVideo editing products today are hard to use and have too many buttons. Paying someone to make videos for you is expensive and slow.\n\n### **The Solution: AI that creates videos for you.**\n\nVideoGen can automatically edit professional videos together in a few seconds, saving our customers time and the pain of hiring a video editor.\n\nIn just a few clicks, VideoGen can:\n\n​​🧠 Take in company/brand knowledge and media\n\n​​✍️ Write a video script\n\n🗣️ Generate a lifelike voice-over\n\n✂️ Edit together relevant, copyright-free footage\n\n💬 Add captions\n\nVideoGen does this all in over 100 languages and accents for a global user base.\n\nOnce your video is done, you can add your finishing touches in an easy-to-use, web-based video editor.\n\n### **Try the API – Get $1,000 in free credits (YC Deal)**\n\nAre you interested in integrating VideoGen with your app? Reach out to us at [founders@videogen.io](mailto:founders@videogen.io)",
        "url": "https://www.ycombinator.com/launches/LnI-videogen-generate-professional-videos-in-seconds",
        "votes": 21,
        "created_at": "2024-09-05T05:55:06.217Z"
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    "id": 29645,
    "name": "Phonely",
    "slug": "phonely",
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    "long_description": "Phonely uses existing call recordings to create a 'AI vocal twin' that can answer customer support calls and match or outperform call center agents. On top of that we've built a Zapier like workflow that lets businesses connect to software or transfer calls just like a person would. Our platform sits on proprietary deterministic LLM that is both cheaper and more accurate than gpt-4o for call center inquiries.",
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    "team_size": 10,
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    "year_founded": 2023,
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1858453,
        "full_name": "Will Bodewes",
        "title": "Founder/CEO",
        "founder_bio": "Will Bodewes is the co-founder and CEO of Phonely. \n\nPrior to starting Phonely, he was pursuing a PhD at the University of Melbourne researching applied artificial intelligence applications.  Before that, he founded an audio-tech startup that garnished celebrity engagement from Chance the Rapper, the band ASIA and more. During college, he competed in the NCAA's for XC skiing, and was one of the top ultra-endurance cyclists in the world. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/william-bodewes/",
        "x_url": "",
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      },
      {
        "user_id": 1858613,
        "full_name": "Nisal Ranasinghe",
        "title": "Founder/CTO",
        "founder_bio": "Nisal is the Co-founder and CTO of Phonely. With a background in Electronic and Telecommunications Engineering, he worked as a senior engineer in the AI team of a major telecommunications company for nearly three years, where he led projects on advanced AI solutions. Nisal then pursued a PhD at the University of Melbourne, focusing on explainable AI and AI for healthcare. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nisalr",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d17fde7ab14ed7f68d34920a8e27b79ac269373a.jpg"
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    "jobs": [
      {
        "id": 85445,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/sTAy0qR-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $130K",
        "equity_range": "0.07% - 0.30%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 87967,
        "title": "Senior Backend Engineer (Python)",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/gp1xSAu-senior-backend-engineer-python",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $220K",
        "equity_range": "0.10% - 0.45%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Kubernetes",
          "Python",
          "Software Architecture"
        ]
      },
      {
        "id": 89283,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/95QPD0i-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$160K - $250K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 90303,
        "title": "DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/FOKzP4X-devops-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $180K",
        "equity_range": "0.10% - 0.40%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Bash/Shell",
          "Kubernetes",
          "Python"
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      },
      {
        "id": 92257,
        "title": "Technical Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/EFLcv7X-technical-customer-success-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$100K - $170K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 93485,
        "title": "Senior Backend Engineer (Series A Backed)",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/Iqph4Zg-senior-backend-engineer-series-a-backed",
        "location": "San Francisco, California",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $230K",
        "equity_range": "0.10% - 0.45%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93486,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/hJB8jBK-full-stack-engineer",
        "location": "San Francisco, California",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $210K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 96763,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/EfITptc-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$60K - $90K",
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        "experience": "1+ years",
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        "skills": []
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      {
        "id": 96764,
        "title": "Senior Business Development Representative",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/1ndZpD5-senior-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$70K - $100K",
        "equity_range": "0.05% - 0.15%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106478,
        "title": "Founding Brand Designer",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/BucE32M-founding-brand-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Design manager",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108584,
        "title": "Founding Content Marketing Lead",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/BJ33C7j-founding-content-marketing-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
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        "equity_range": "",
        "experience": "1+ years",
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      {
        "id": 109410,
        "title": "Founding Product Manager",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/xOahokh-founding-product-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
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        "visa": "US citizen/visa only",
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        "id": 109450,
        "title": "QA Engineer",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/EMM562h-qa-engineer",
        "location": "CA / Remote (CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$45K - $65K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 113101,
        "title": "Operations Specialist",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/Je5FJ4r-operations-specialist",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$95K - $120K",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "This Startup Built AI That 80% of Callers Think Is Human",
        "url": "https://www.youtube.com/watch?v=ZxwYGbCOuDQ",
        "date": "Apr 16, 2026"
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    "launches": [
      {
        "id": 81087,
        "title": "📞 Phonely - Humanlike AI receptionists",
        "tagline": "Phonely lets businesses create a highly personalized AI receptionist that answers their phones 24/7",
        "body": "**TL;DR We use your website to create an AI receptionist that can answer FAQs, route calls, and book appointments, ready to go in under 5 minutes. Don’t believe us? Try it free **[**here**](https://phonely.ai?utm_source=ycombinator.com&utm_medium=referral&utm_campaign=Y+Combinator+Launch)**.**\n\n**—**\n\nHey 👋! It's [Will](https://www.linkedin.com/in/william-bodewes/) and [Nisal](https://www.linkedin.com/in/nisalr/) here. We’re building [Phonely](https://phonely.ai/), an AI receptionist system that ensures **you’ll never get put on hold again.**\n\n![uploaded image](/media/?type=post&id=81087&key=user_uploads/1858453/e3a4653a-20d2-4554-8afe-bbb3e09631b7)\n\nWe are both former PhD AI researchers from the University of Melbourne, and 8 months ago, we set out to build an AI receptionist that could do everything that a person could do over the phone, and it's safe to say we’re done just that.\n\n**❌ The Problem**\n\nMissed calls cost businesses tens of thousands of dollars in lost revenue every year. Sure, you can hire a receptionist or outsource to a call center, but even they face the same problem. Humans sleep, have bad days, and ultimately don’t scale. We can do it better, faster, and 70% cheaper than the status quo.\n\n**✨ Our Solution**\n\nPhonely uses a website URL to build a humanlike AI answering system in just a few minutes. Our platform then connects to scheduling software, routes calls, and integrates with an existing knowledge base, all while improving its responses over time.\n\n![uploaded image](/media/?type=post&id=81087&key=user_uploads/1858453/e3f68d5e-3ef0-4e57-b1de-31cdee756459)\n\nAfter the call, Phonely provides powerful AI analytics and automatically extracts relevant information, sending it directly to the business CRM, phone, or inbox.\n\nPhonely doesn’t just sound like a person. It can do things like a person, too.\n\n* Connect directly to your calendar to schedule, cancel, or rebook appointments\n* ⁠Send SMS messages\n* ⁠Trigger live automations based on the callers’ inquiry\n* Place outbound calls to remind customers about important events (i.e. upcoming appointments)\n* [And much more](https://www.youtube.com/watch?v=sfidfcFpiK0)\n\n**⚙️ How it works**\n\nPhonely combines the best voice providers, language models, and transcription software to create contextually accurate, lifelike voice responses in under a second. If you give us your website, we will visit every page and extract relevant information automatically, formatting it to work with our custom-trained language models. We also directly integrate with a bunch of different software, such as Google Calendar and Zapier, to make it easy to manage appointments and so much more.\n\nSee it in action: <https://www.youtube.com/watch?v=djG8ZJShquk>\n\n**🙏 Asks**\n\n1. Build an AI receptionist from your business website (it's free and takes less than a minute). Do that [here](https://phonely.ai?utm_source=ycombinator.com&utm_medium=referral&utm_campaign=Y+Combinator+Launch).\n2. Don’t have a business but know one? We’re doing the best affiliate deal we’ll ever have. Join that [here](https://affiliate.phonely.ai).\n3. Also, if you have 10 minutes to chat about Phonely, please book a time with me [here](https://www.calendly.com/phonely) 😊\n\nFollow our [Linkedin](https://www.linkedin.com/company/phonely-ai/), [Twitter](https://x.com/phonely_ai), and [Youtube](https://www.youtube.com/@phonely-ai) to stay up to date.",
        "url": "https://www.ycombinator.com/launches/L5r-phonely-humanlike-ai-receptionists",
        "votes": 34,
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    "website": "https://party.build",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Party is the secure workspace for your team and agents to build together, in the open. Agent Flows handle 95% of the work and your team can see it all happen and step in when needed to steer. It's built for teams and collaboration first, but caters to the solo builder as well. Use any harness/model - your keys or ours. Cost observability. Memory. Dual-level session sandboxing.\r\nSlack/Teams are comm-first with agents as second-class citizens. Party is work-first and the communication happens where the work is being done. Party is for teams who want to build better and faster than their competition. ",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/party.json",
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        "user_id": 213922,
        "full_name": "Christian DalSanto",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO @ Party, the multiplayer workspace for building. \nPreviously founded Maitai, led the AI engineering org at Presto (S10), and Big Bets team at Earnin. My thing is leading teams that build and scale new products alongside users.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/christian-dalsanto",
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    "news": [
      {
        "title": "Phonely’s new AI agents hit 99% accuracy—and customers can’t tell they’re not human | VentureBeat",
        "url": "https://venturebeat.com/ai/phonelys-new-ai-agents-hit-99-accuracy-and-customers-cant-tell-theyre-not-human/",
        "date": "Jun 03, 2025"
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      {
        "id": 83311,
        "title": "Maitai - Reliable AI without the heavy lift",
        "tagline": "Real-time autocorrections and load balancing to solve your LLM issues today + tailored models that improve over time.",
        "body": "**TL;DR:** Maitai is an ultra-lightweight layer between your app and LLM providers, ensuring reliability and passive continuous improvement.\n\n[Try Maitai](https://portal.trymaitai.ai)\n\n# The Problem:\n\nGetting LLMs into production is complex and time-consuming. Teams today spend much of their time-fighting hallucinations, suboptimal output, and mitigating problems plaguing their providers. Though this is necessary for a production-ready application, it can be a massive distraction from building and expanding the core product, not to mention a sizable investment. Hallucinations can quickly deteriorate the user experience and are difficult or impossible to fully fix. Model outages or degraded performance make any meaningful traffic a nightmare. Consistent response times are usually only solved today with dedicated compute environments, which can be too costly for most companies to consider. The more you make progress on these issues, the more you become locked into a provider.\n\n# The Solution: A Dependable Middleman\n\nMaitai integrates seamlessly between the application and model providers to handle the heavy lifting behind the scenes. The result? Higher quality, reliable model output with passive incremental improvement - without any new code. We leverage our robust real-time evaluation engine to build a deep understanding of the customer's application, as well as the capabilities of all major models, in order to deliver consistent, dependable results. This abstraction layer is essential as the AI landscape evolves and new models emerge.\n\n![uploaded image](/media/?type=post&id=83311&key=user_uploads/213922/d9d0ba25-8ae2-48c4-b5ae-6a9f891d493c)\n\n**Real-time Evaluations**\n\nFor each application, we build an understanding of the expectations that the user has for each request. We then evaluate all model output to ensure it adheres to these expectations, in under 200ms. Detected faults can be surfaced to the user in a callback or webhook. Users can also allow Maitai to leverage these evals to autocorrect any faulty output we find, ensuring clean, reliable responses.\n\n_Example:_ One of our customers is a voice-ordering company for restaurants. They use Maitai to ensure the model always requests consent from the customer before sending a text message. Failure to do so would put them out of compliance with the Telephone Consumer Protection Act, resulting in heavy fines and lawsuits. Maitai has prevented this from happening 14 times.\n\n![uploaded image](/media/?type=post&id=83311&key=user_uploads/213922/858792ed-11e9-40b8-92c2-d46c244ae91b)\n\n**Highly-available Inference**\n\nAs AI adoption grows, all providers are having trouble keeping up with the demand. As we continuously profile all models we support, we see this manifest as outages and degraded performance many times throughout each day. Maitai uses our model health data to preemptively fall back to a similar model if we notice degraded performance or an outage. Avoid failed responses and get more consistent response times without shelling out hundreds of thousands of dollars on dedicated compute.\n\n![uploaded image](/media/?type=post&id=83311&key=user_uploads/213922/d10bbf2a-7fd4-47c3-8788-1a8aeffdeb0b)\n\n_Our health checks on gpt-4o from us-west2 show consistent performance only \\~90% of the time, with frequent spikes to 400%+ usual response times._\n\n**Passive Incremental Improvement**\n\nWith Maitai, you gain access to models that are higher quality than GPT-4o, 5x faster, and 10x cheaper — tailored specifically for your application. Our evaluation data not only allows us to immediately improve output quality and reliability, but also lends way to passively building application-specific models that are higher quality, more performant, and cost less than closed-source alternatives. Access the best models for your application, with updates as often as every few days.\n\n**Actionable Alerts**\n\nGet briefed on problems as they occur to quickly remedy a bad situation. Maitai surfaces real-time faults or session summaries right in Slack, then allows you to chat with your data to explore deeper. Never miss a chance to improve a potentially negative customer experience ever again.\n\n![uploaded image](/media/?type=post&id=83311&key=user_uploads/213922/c93ad111-9921-4213-a32e-4c13fcf00573)\n\n**Micron Thin**\n\nWe've invested heavily in making our presence as light as possible. Maitai adds <30ms to each request (and improving!). Get all the benefits of using Maitai without any drawbacks.\n\n# Our Ask:\n\n* If you're building with LLMs, let us help. It takes 2 minutes to integrate, and you can bring your own keys. We can even do it for you while you browse Slack/Reddit/HN. [Get Started](https://portal.trymaitai.ai)\n* Host LLMs or experts at fine-tuning? Let's chat!\n* Let us know your biggest problems building with LLMs.\n\n[founders@trymaitai.ai](mailto:founders@trymaitai.ai)\n\n![uploaded image](/media/?type=post&id=83311&key=user_uploads/213922/06d87dd9-3243-4c88-b4bd-5430256d5e79)\n\n",
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        "created_at": "2024-08-22T17:08:56.471Z"
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    "id": 29651,
    "name": "FirstWork",
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    "website": "https://firstwork.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Firstwork is a next-generation HR platform designed specifically for companies with dynamic workforce needs. Our mission is to streamline and automate key HR processes to help businesses operate more efficiently and effectively.\r\n\r\nWhat We Do (for now):\r\n\r\n(1) Smart Onboarding 📋: Our platform simplifies the onboarding process by automating the collection and verification of credentials, such as right-to-work documents, insurance forms and driver’s licenses. This reduces administrative burden and accelerates the time-to-productivity for new hires.\r\n\r\n(2) AI-Assisted Activation 🤖: Leveraging AI, we enhance communication and messaging for new hires, ensuring they receive timely and relevant information. This helps in better engagement and faster integration into their roles.\r\n\r\n(3) Perpetual Compliance ✅: Our system uses AI and OCR technology to continuously monitor and ensure compliance with various regulatory requirements. This includes tracking expirations of critical documents, updating records, and generating compliance reports, thus reducing the risk of penalties and legal issues.\r\n\r\n",
    "one_liner": "Rippling for seasonal workers",
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        "full_name": "Shubham Choudhary",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO @Firstwork, Rippling for seasonal workers.\nPreviously:\nDirector of Engineering @Deel, led the development and management of PEO, Immigration/Mobility, Time-Off & Time-Tracking products at Deel. \nBuilt out the core infrastructure for the Employer Of Record (EOR) systems at @Rippling, which enabled Rippling’s market entry into end-to-end employee lifecycle in 50+ countries. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shubhamtech/",
        "x_url": "https://twitter.com/techie_Shubham",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d23216e082f4a54df4adbc89741f043b738b720.jpg"
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        "id": 108077,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/CaWvqIS-software-engineer",
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        "type": "Full-time",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Staff Software Engineer",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/Jpe1GBs-staff-software-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
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      {
        "id": 108079,
        "title": "Senior Product Manager",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/sv2lAWi-senior-product-manager",
        "location": "Remote (US)",
        "type": "Full-time",
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        "id": 108080,
        "title": "Product Manager",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/9RCMhSt-product-manager",
        "location": "Remote (US)",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/firstwork/jobs/lBAMr0I-emea-sales-lead",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "body": "**tl;dr**: [**Firstwork**](https://firstwork.com/) **is building Rippling for frontline workers.**\n\nHi everyone! We are Vardhan and Shubham, and we’re on a mission to build an all-in-one HR and compliance platform for frontline workers.\n\n🧨 **The Problem:** Managing workforces in sectors like transport, delivery, and logistics is complex and inefficient. Many sectors have seasonal onboarding/offboarding and onerous credential validation that bottleneck HR Ops teams. Traditional HRIS solutions are scattered across multiple systems, which leads to delays, compliance issues, and high operational costs.\n\nWorking at Deliveroo and Remitly, where we spent a lot of time partnering with frontline workers across the gig economy, trucking, and logistics industries. Managing HR and compliance was a constant struggle.\n\n🎉 **The Solution:** At **Firstwork**, we realize that worker onboarding, compliance, and management are not standalone problems but interconnected opportunities that require a unified approach. It’s with these insights that we’re building a compound product, with an initial focus on:\n\n* **Smart Onboarding 📋:** Automates credential verification with Intelligent Process Automation and OCR, reducing admin burdens and speeding up time-to-productivity.\n* **AI-Assisted Communication 🤖:** Enhances new hire activation for better engagement and faster integration.\n* **Perpetual Compliance ✅:** Uses AI and OCR to ensure continuous compliance, tracking document expirations and updating records.\n\n**Using Firstwork, Employees:**\n\n✔️ Get onboarded faster and with less hassle\\\n✔️ Receive timely and relevant communication for better engagement\\\n✔️ Stay compliant with regulations effortlessly\n\n**and Companies:**\\\n✔️ Avoid compliance issues and potential penalties\\\n✔️ Improve overall worker efficiency per hour \\\n✔️ Save time, costs, and reduce administrative burdens\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe2_g1HVyT3kqDGZDJeclhjnPtvP8Z1UOnnNkp8LIbHqbmJVEdMbMOpXn3ZHSTqrHlBsnv_dZS1wtr9c5ZBWffOOseNQAXRKDnLd8dpKGny22Mq7QRMSK5F4VpGQMilE8hgMMSs7cX86oRJSorWvDexFrze?key=BnWjbm21DhEvXen5Fbi5aQ)\n\n\\\n💲 **Opportunity:** The scope and impact of our market are significant. Companies in logistics, warehousing, delivery, hospitality, and BPO centers can benefit from our platform, improving their workforce management processes and saving costs.\n\n**Our Team:**\n\n[Vardhan Kapoor](https://www.linkedin.com/in/vardhan-kapoor/), our CEO, has firsthand experience with blue-collar worker engagement challenges at Deliveroo and Remitly, where he scaled various business units to high eight-figure USD ARR. [Shubham Choudhary](https://www.linkedin.com/in/shubhamtech/), our CTO, built the core HR infrastructure at Rippling and Deel and holds multiple US patents.\n\n👋 **Ask:** How you can help\n\n* We’d love to connect with companies in the logistics, ride-hailing, warehousing, trucking, delivery, hospitality, and BPO centers. \n* If you know potential customers or partners, please reach out at [vardhan@firstwork.com.](mailto:vardhan@firstwork.com)\n* We’d also love any feedback or advice from this incredible community.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdXMy7QIbUBRiQJM2qgKkTV5KgMxDfhlzakRVbkQ_S67FG9Yp78Y6f9WUUD8TLRLuy9CZrZux6ko1__oMg3ehSw3XmvAR0McL7kY3kCrEj7Hdzg3XNCxkXjjhfODZdKqEeBLseqdvV7BbhA0XVCWmgyZ1w?key=BnWjbm21DhEvXen5Fbi5aQ)\n\n",
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        "body": "### **Tl;dr:**\n\n![uploaded image](/media/?type=post&id=83411&key=user_uploads/620002/b47c6ed6-17ba-44cf-b061-5a5c4b94ed08)\n\n**ideate.xyz is an AI design co-pilot for content teams to create engaging thumbnail designs for their social media channels. We are starting with thumbnails, the most critical window to connect with audiences - ideate is here to help content teams stand out.**\n\n**Looking ahead, ideate will become THE AI design partner for the next generation of content creators, crafting unique and tailored designs for their bespoke brands.**\n\n### **The team:**\n\nHi, [Jasper](https://www.linkedin.com/in/jasperjia/) and [Elliott](https://www.linkedin.com/in/ellt92/) here. We are building [ideate.xyz](http://ideate.xyz) - the first AI design co-pilot for content teams to create thumbnail designs for social media channels. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcyUiwrYeoWSM9XI-PrkXrpcLxSQZLYZHYRrgKdya2BZpu7VgxyNGx8KcSPqkbuzo0IEUy1_-6sCn3Zsc6cBw0OVQmAUdEJhMmbByvBhOPLvLa4rWe1RTA4lXgk6r_9i2WnQX03jbegL_seQRPUthnvM50C?key=dBDHpbeLdBMcMx4JQU8ppQ)\n\n**Jasper Jia (Left)**\n\nCofounder & CEO at ideate.xyz. Designer specialising in creative tools and no-code. He believes designers should embrace learning and getting their hands dirty in the technical end of the software building process to craft the best software experience and cultivate fast iteration cycles with the engineering team. He was an ex-Snap designer and MSc Design Engineering graduate from Imperial College London.\n\n**Elliott Thompson (Right)**\n\nCofounder & CTO at ideate.xyz. A software engineer with a penchant for visual computing. He studied computer graphics at University College London before taking on a role as a graphics generalist at Snap Inc. He has previously worked on 3D engines, game developer tooling, graphics editors, and e-commerce platforms.\n\n### **The problem:**\n\nDesign tools are stuck at two extremes: powerful but complex, or simple yet limiting. This seemingly inevitable tradeoff affects millions of content creators trying to stand out with their thumbnail designs, the critical window to connect with their audience.\n\nIf you’ve had to design thumbnails for social channels, you've likely been here:\n\n![uploaded image](/media/?type=post&id=83411&key=user_uploads/620002/b533f0cd-3816-4699-b93b-a445528a046f)\n\nYou have a great idea, so you install the latest Adobe product. Suddenly, you're faced with a blank canvas and a dizzying array of options. Hours of YouTube tutorials later, you're ready to throw in the towel.\n\nTime for Plan B. You load up Canva, pick a template that's \"close enough,\" and tweak some colors. It doesn't really feel like yours, and it is so hard to stand out with a “Canva look” when there are over 3.7 million videos uploaded to YouTube alone every day!\n\n### **Our solution:**\n\n[ideate.xyz](http://ideate.xyz) - the first AI design co-pilot orchestrating the entire thumbnail design process from initial ideas to final designs that stand out!\n\n![uploaded image](/media/?type=post&id=83411&key=user_uploads/620002/56aa1f67-549b-44ae-a3ee-66e0b32c5a17)\n\n\\* Design with plain English: No prior experience with design or creative software needed. Produce designs via simple and engaging discussions with AI design co-pilot.\n\n![uploaded image](/media/?type=post&id=83411&key=user_uploads/620002/406874a3-9435-4c80-9472-f1982d4bb1f7)\n\n\\* Think of our copilot as your team’s AI design partner - guiding the design process with proactive questions to understand design requirements and implementing expert design decisions after your sign off.\n\n![uploaded image](/media/?type=post&id=83411&key=user_uploads/620002/887c967e-b165-4ceb-b4d1-8d5beb9a5bb3)\n\n\\* Collaborative environment: Teams can work with a co-pilot on the same project for a quick feedback cycle and sign-off before exporting the final designs.\n\n![uploaded image](/media/?type=post&id=83411&key=user_uploads/620002/3333d422-a852-4af4-8de4-adb7e832c3f8)\n\n\\* Maintain brand consistency as our AI learns your preferences over time and always generates content with this in mind.\n\n\\* We fine-tune our prompts for each generation, considering layout composition, image assets, and copywriting in lockstep with each other to produce creative but also consistent results. \n\nA typical workflow with ideate.xyz:\n\n1\\. Describe your content ideas\n\n2\\. First drafts designed by AI co-pilot\n\n3\\. Iterate and create more variations by chatting with AI copilot\n\n4\\. Export designs in channel-specific dimensions \n\n[Quick demo here](https://youtu.be/Zf_i1cUejbk)\n\n### **Our story:**\n\nAs a design and engineer duo, we have spent years crafting creative tools in the WebGL and AR space. We've also built and mentored in the no-code space to help non-techies build out their online presence. Regardless of the domain, one challenge persists for creators — finding a design tool that’s both simple and powerful enough to bring a brand's vision to life. The reason why this problem persists in the market is simple - the inevitable tradeoff that every design software needs to make between power and ease of use. Typically, the more powerful a tool gets, the more complex it becomes. On the flip side, easy-to-use tools often limit creativity with rigid templates. \n\nBut with AI, we have found the conviction to break this tradeoff. We are on a mission to create a design tool that actually puts your ideas in the driving seat, making the design process less about esoteric design language and more about the content team’s own creative impulses. Our goal is to empower the next generation of creators to build stunning brands and assets. \n\n### **Our ask**\n\nAre you currently on a team that regularly has to come up with thumbnail designs for your social media content?  Either wrestling with complex design tools or unhappy with generic templates? Talk to us, and we would love to learn more about your requirements!\n\nIf you know any professional content creators, we’d really appreciate the connection!\n\nOur email is [founders@ideate.xyz](mailto:founders@ideate.xyz)",
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        "votes": 51,
        "created_at": "2024-08-26T18:12:14.426Z"
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        "title": "Decisional Knowledge Engines",
        "tagline": "AI Native workspace for Financial Professionals",
        "body": "Hey folks, we’re Dhruv, Adit & Neeraj, the founders of [decisional.com](https://www.decisional.com/) and we are introducing the world to Knowledge Engines.\n\n### Decisional Knowledge Engines\n\n**A new way for financial professionals doing in-depth work to collaborate with AI agents.**\n\n**TLDR**\n\nKnowledge engines are AI native workspaces built for financial professionals in private markets to accelerate **due diligence**, **fundamental research**, and **portfolio management** in a secure sandbox environment with **full citations and audit trails**.\n\nPreview video here - https://www.youtube.com/watch?v=RU9Xm8VWNd0\n\nTHE PROBLEM\n\nFinancial professionals spend hours doing grunt work that includes copy pasting tables, screenshotting charts and doing data entry and have been unable to use AI effectively due to a lack of precision and transparency in using LLMs in their workflows.\n\nThe Decisional knowledge engine allows you to **add** and **view** sources to so that you can\n\n1. **Write** your own thoughts into Memos\n2. **Ask** **AI** questions related to the sources you upload\n3. **Generate / Edit** high quality tables, charts and metrics based on the underlying materials with your AI Assistant Dex\n\nDecisional features a powerful **document processing** system that handles multiple formats (excel, pdf, ppt, docx) with OCR for tables, charts, and figures. Our agentic **RAG** implementation grounds AI responses in your sources, delivering up to **4.1x** greater accuracy with fewer hallucinations and the most transparent citations. Choose from top models by Anthropic, xAI, OpenAI, and Meta.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/22dec013-48a4-4503-9fff-973b36880183)\n\n_(Chart produced with Decisional)_\n\nTop three reasons to use Decisional Knowledge Engines\n\n### **1.You start from SCRATCH**\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/b37b878a-8843-496a-b84c-9c52b4e996e0)\n\nDon’t become a consensus thinker, use AI only when you need it - to do the grunt work not the real decision making. Upload sources you trust and view it on the left, iterate on your workup in the middle and ask AI for assistance on the right, ONLY when you need it.\n\n### **2.Deep Research** & **Agentic Editing** with Finance Grade **Tables**, **Charts** and **Writing**\n\nWe’ve tuned Dex to be thoughtful, analytical and rigorous like any financial professional worth their salt. It spends time thinking before writing to improve depth and understanding. Get Dex to refine outputs, answer follow-ups, and iterate on your materials. Write inline when you need to onto a collaborative editor with Dex. It can even do financial modeling and scenario analysis.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/724dfdbc-ff09-44d0-b8c4-055a08d4d39f)\n\n### **3.Full transparency**\n\nEvery insight links back to original sources with complete audit trails. Imagine an analyst that can read hundreds of thousands of files in seconds but tells you the exact page with a bounding box around where it got a figure from. Inline citations ensure you don’t have to second guess whether the data is accurate, see for yourself without yielding all your time savings to fact check AI.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/8f459550-8129-44ef-8f88-067c0d06ac11)\n\nAll this with enterprise grade APIs to embed AI agents within your workflow and deployments that work with your data security policies.\n\n### **Try Decisional free for a week with no credit card**\n\nThere are multiple AI Agents for finance but none offer the level of transparency and control that we do.\n\nNo smoke and mirrors, just results you can trust.\\\nChoose from one of our public samples where we have pre loaded documents for you:\n\n* [AI Infrastructure Build Out](https://app.decisional.com/public/memo/9fc52894-91e4-4531-b776-913929e058a9?promptId=prmt_ainfrabuildout)\n* [US Gambling Restrictions](https://app.decisional.com/public/memo/7154d423-6626-4099-88fb-eb1ffb3c327d?promptId=prmt_usgamblingmemo)\n* [Tesla SEC Filings (10 years)](https://app.decisional.com/public/memo/eb1a312c-1b55-4738-acb9-2ade5880eee9?promptId=prmt_tslasec10years)\n* [Coffee Retailer Data Room](https://app.decisional.com/public/memo/b1fa6424-9790-4194-93e5-eebcc9f8d9ab?promptId=prmt_pvtequityjoeco)\n\nOR login and upload your own documents here - https://app.decisional.com/sign-in\n\nReach out to us at [founders@decisional.com](mailto:founders@decisional.com) if you want to use our [APIs](https://docs.getdecisional.ai/welcome/introduction) to embed our workspace in your product or workflow.",
        "url": "https://www.ycombinator.com/launches/O4b-decisional-knowledge-engines",
        "votes": 10,
        "created_at": "2025-07-29T16:16:45.742Z"
      },
      {
        "id": 83138,
        "title": "Decisional - An AI agent for Financial Analysts",
        "tagline": "AI Financial Analyst to help investors focus on what matters.",
        "body": "Hey everyone, we’re Dhruv, Adit, and Neeraj — co-founders of [Decisional](https://www.getdecisional.ai/).\n\n### **tl;dr**\n\nDecisional built an AI Financial Analyst that reads and understands data from thousands of public and private sources. Imagine a new world - an AI Analyst, at your beck and call, that has understood every email, read every data room, and can browse the web. \\\n\\\nDecisional breaks down data silos and performs all of your grunt work, ensuring you never have to manually copy a table from a pdf to Excel ever again.\n\n### **The Problem: Grunt Work & Data Silos**\n\nAnalysts want to create alpha through first principles thinking - but they’re blocked by mundane tasks like extracting tables, plotting market maps, and sifting through transcripts and board packs. Their information is scattered in data silos internally (Airtable, Dropbox, Email) and externally (web pages, SEC filings, and private data feeds like S&P).\n\nDecisional ingests information across your organisation and configured external sources to create a knowledge graph that powers a 24x7, intelligent AI Agent empowered with your organization’s information. It helps you unearth key facts and patterns hidden in plain sight.\n\n### **The Solution: Writing > Chatting for Deep Work**\n\nDecisional’s Magic Tables will organize key metrics, competition, and public comps, enriched with external data like funding amounts, stage, geography, and sector.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/b32cb74b-83a4-4da8-87fc-3a246c5cf797)\n\n\\\nAnalysts generate “AI memos” and glean deep insights from your documents. Decisional eliminates the 24-48 hour wait while your offshore team performs simple data extraction grunt work.\n\nDeep, living documents are then drafted with the help of an AI Agent that automatically pulls and organizes data from underlying sources, complete with citations.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/784ed30e-d5e2-4e6e-84ca-dfce79a724ae)\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/f7531425-4503-4c11-b5ed-f24e6bd9328e)\n\n### **The Finance + AI + Distributed Systems Squad**\n\nDhruv, Adit, and Neeraj studied at London Business School, Carnegie Mellon University, and NYU, respectively. Adit and Dhruv have known each other for 20 years and are childhood friends. Dhruv and Neeraj shared a PM - Lead Engineer bromance from their time working at Razorpay (W15).\n\n[Dhruv](https://www.linkedin.com/in/tandondhruv/) - Experienced in investing, lending, and banking through working at Moonfire Ventures, Concentric Capital, Drip Capital (S15), and ICICI Bank. Rage quit a bank to join the startup world.\n\n[Adit](https://www.linkedin.com/in/aditsanghvi/) - Developed machine learning models at AWS and Uber, and built models for billions of transactions that generated over $200+ million in additional revenue. Published research and patents in machine learning since 2017.\n\n[Neeraj](https://www.linkedin.com/in/neerajkanuri) - Developed end-to-end financial infrastructure that handles over $150B in transaction volume at Razorpay (W15). Won a contest in Yann LeCun’s Deep Learning course and then built distributed systems at Arthur AI for financial services firms like JP Morgan.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/20a310e0-32b6-4d5d-a483-0c7c3f733ea6)\n\nWatch our full product video here:\n\n<https://youtu.be/Wu_CIqBwGW8>",
        "url": "https://www.ycombinator.com/launches/Lcw-decisional-an-ai-agent-for-financial-analysts",
        "votes": 298,
        "created_at": "2024-08-16T21:16:34.697Z"
      }
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    "id": 29656,
    "name": "Leeroo",
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    "website": "https://www.leeroo.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "An AI that continuously learns your organization’s knowledge and expert playbooks, uses experimentation, and with human approval ships data & AI programs and their operational UIs on your existing stack.",
    "one_liner": "Organizational Superintelligence",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1732293207,
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    "batch": "Spring 2025",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/leeroo",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/leeroo.json",
    "year_founded": null,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/leeroo",
    "x_url": "https://x.com/LeerooAI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/leeroo",
    "github_url": "https://github.com/Leeroo-AI",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
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        "user_id": 1604873,
        "full_name": "Majid Yazdani",
        "title": "Founder/CEO",
        "founder_bio": "I am the co-founder and CEO of Leeroo. Before that, I was a staff scientist at Meta AI, Linkedin AI, VP at BYJU's, University of Geneva, and Idiap Research Institute. I got my PhD in machine learning from EPFL.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/majid-yazdani-a9032011",
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      {
        "user_id": 1926891,
        "full_name": "Alireza Mohammadshahi",
        "title": "Founder",
        "founder_bio": "Co-founder at Leeroo, hold a PhD from EPFL. Previously, developed an LLM-as-a-judge systems at Meta AI and a compact massively multilingual LLLMs at NAVERLABS, both with more than 1 million downloads, widely benefiting the AI community. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alireza-mohammadshahi/",
        "x_url": "https://twitter.com/alireza_mshi",
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    "jobs": [
      {
        "id": 79062,
        "title": "Research Scientist Intern – PhD (AI Agentic Systems)",
        "url": "https://www.ycombinator.com/companies/leeroo/jobs/yYHzLas-research-scientist-intern-phd-ai-agentic-systems",
        "location": "London, England, GB / Remote",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$6.5K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
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      {
        "id": 81393,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/leeroo/jobs/EN35UC5-founding-engineer",
        "location": "London, England, GB / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "£70 - £100 GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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    "news": [],
    "launches": [
      {
        "id": 90848,
        "title": "Leeroo - Trainable AI Agents",
        "tagline": "Trainable AI agents that keep learning—and getting better at their job—every day",
        "body": "Hi everyone 👋\n\nLeeroo delivers **trainable AI agents that learn much like human colleagues— from knowledge bases, human feedback, and even their own past experiences.** That continuous learning bridges the gap between generic AI and the expert performance companies need. We’re starting with agents for **data- and AI-teams**.\n\n[https://youtu.be/ONHTKTB7Dik](https://youtu.be/ONHTKTB7Dik?feature=shared)\n\n### **❌** Problem\n\nAI agents look impressive, but for specialized work they remain semi-experts—and you can’t effectively train them into experts. General-purpose agents can’t learn from their own experience, human guidance, or domain-specific materials, so they quickly plateau at basic capabilities. Data and AI tasks demand deep specialization that off-the-shelf agents simply don’t reach.\n\n### **✅** Our Solution\n\nScaling pre-training to squeeze out marginally better foundation models has flat-lined. **The real moat isn’t building demo agents, it’s training that agent to expert level on your private context.** While agent scaffolding is commoditising fast, Leeroo’s on-prem, **continuous-learning engine transforms your data, workflows, and tacit know-how into a compounding strategic asset—without leaving your VPC.**\n\n**What Makes Leeroo different**\n\n* **Continuous Learning Loop:** Every interaction becomes training data. Agents digest codebases, docs, videos, self-discovery experiences, and your real-time feedback, then consolidate the lot overnight—so yesterday’s lessons fuel tomorrow’s results.\n* **Domain-Specific Reasoning Library:** Symbolic search, specialised code synthesis, and deep data/ML expertise tackle real engineering problems directly, not through brute-force guessing.\n* **Multi-Agent Workforce:** Multiple agents collaborating asynchronously on heavy jobs, could run entirely inside your VPC.\n\nOur early **customers** already **see their trained agents as high-value assets—assets that appreciate as the agents keep mastering more of the organisation’s knowledge.**\n\n### Team\n\nWe’ve worked together for 3 + years on various AI systems. Altogether the team has co-authoring **50 + papers in top AI venues**, open-sourcing models downloaded **1.5 million+ times**, and earning **3K+ GitHub stars**.\n\n**Majid – Co-founder & CEO**\n\n**PhD, EPFL (ML)**. Built and led multiple AI teams, created core technologies and AI-enabled products, published research articles in top-tier venues —some featured in media. He was a **staff Scientist at Meta AI**, where he co-developed a breakthrough technology called “**Neural Databases**” and drove LLM applied research that powered customer-support automations and feed relevance across Meta’s apps. Before that, he was **staff Scientist at LinkedIn AI**, led content-understanding, job-profile matching, and economic-graph representation learning. **Former VP of Research & Technology at BYJU’S**; earlier research posts at the University of Geneva and Idiap Research Institute.\n\n**Alireza – Co-founder & Chief Scientist**\\\nWith a **PhD in CS/AI from EPFL** and a proven record across leading labs, he has repeatedly advanced LLM research and deployment: at **Meta AI**, he built an **LLM-driven evaluation pipeline** that boosted LLM performance on out-of-domain datasets; at **Naverlabs**, he compressed a state-of-the-art multilingual machine-translation model by 40x; at the **University of Zurich**, he introduced ensemble and contrastive decoding techniques that significantly lifted translation accuracy; and at the Idiap Research Institute, he devised methods for encoding structured data in LLMs, enhancing a range of NLP tasks. His open-source releases have collectively surpassed **one million downloads on Hugging Face**, and the underlying research has produced fifteen papers in top-tier AI conferences.\n\n**Arshad – Co-founder & CTO**\\\nWith an M.S. in Computer Science from Mumbai University, Arshad **bridged research and production** at BYJU’S AI Labs—building BADRI, a **multimodal transformer–based recommender** trained on 30 billion interactions. He also **engineered an inference stack** that serves over 10 million students efficiently. Prior to that, he was a deep-learning researcher at IIT Bombay.\n\n## Our Ask\n\nWe’re lining up pilot partners in **banking, finance, and healthcare** who need AI agents that respect data sovereignty yet deepen domain expertise over time.\n\n💡 If you know innovation leaders wrestling specifically with data and AI problems, we’d love an intro.\\\n👉 Contact us at [founders@leeroo.com](mailto:founders@leeroo.com) or [book a demo](https://leeroo.com/contact-us)\n\nHelp us bring continuously learning AI to the industries that need it most.",
        "url": "https://www.ycombinator.com/launches/NdI-leeroo-trainable-ai-agents",
        "votes": 27,
        "created_at": "2025-05-29T15:50:22.975Z"
      }
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  },
  {
    "id": 29658,
    "name": "RetroFix",
    "slug": "retrofix",
    "former_names": [
      "RetroFix AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/75a43a4feea8b7e9b9068056b060eea8ca21a51a.png",
    "website": "https://www.retrofix.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "RetroFix is an automation platform designed to be extremely intuitive to use, making it much easier and faster to automate manual work. \r\n\r\nTo create or modify workflows you can describe them in natural language and our agent will create them end-to-end for you. We allow you to connect with 2000+ applications and use our pre-built actions for your workflows. In the case we don't have a pre-built step, our agent can instead write code to access the full APIs of all the apps we integrate with.",
    "one_liner": "Automate any workflow using plain english",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1722292194,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/retrofix.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/retrofix-ai/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 1932031,
        "full_name": "Isaac Toscano",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder/CEO at RetroFix AI. Before Retrofix I studied Materials Engineering at MIT, made financial models for billion dollar companies, did solar cell research at MIT's Nano lab and spend the weekends drilling Muay Thai. ",
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        "linkedin_url": "https://www.linkedin.com/in/isaac-toscano-mina/",
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        "full_name": "Daniel Portela",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder, CTO @ RetroFix AI | MIT CS | 🇵🇷",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-portela-febo/",
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    "jobs": [
      {
        "id": 92974,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/retrofix/jobs/NjkzPk8-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "13 companies from YC Demo Day 1 that are worth paying attention to | TechCrunch",
        "url": "https://techcrunch.com/2024/09/25/13-companies-from-yc-demo-day-1-that-are-worth-paying-attention-to/",
        "date": "Sep 25, 2024"
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      {
        "id": 82545,
        "title": "🏢 RetroFix AI - Turbo Tax for building rebates",
        "tagline": "Automatically apply for and maximize government subsidies for energy efficient equipment.",
        "body": "**tl;dr:** Building operations are responsible for around **1/4 of global energy CO2e** emissions. We want to make it extremely easy for every building in the world to decarbonize and decrease this number. Currently, we're working on making it extremely easy for buildings to secure government subsidies to become more energy efficient, starting with New York.\n\n<https://www.youtube.com/watch?v=v2AUIvrsmmE>\n\nHi everyone, we’re [Isaac](https://www.linkedin.com/in/isaac-t-1a51ab13a/) and [Daniel](https://www.linkedin.com/in/daniel-portela-febo/)! 👋 We met two years ago while studying at MIT, and now we are solving the problem of building decarbonization at [RetroFix AI](https://www.retrofix.ai).\n\n# **The Problem** 🌍\n\nBuilding operations are the 4th largest global contributor to carbon emissions:\n\n* **Globally**, they are responsible for around **26%** of all energy and process-related CO2e emissions\n* **In the US**, that number is approximately **29%**\n* **In dense cities** like New York, DC, Boston, and Philadelphia, they account for over **2/3** of all GHG emissions\n\n# **Our Mission** 🚀\n\nWe want to make it dead simple for every building in the world to decarbonize. We are committed to accelerating the adoption of clean energy technologies in buildings all around the world. We start by solving the largest barrier to decarbonization: money. Currently, we're working on making it extremely easy for buildings to secure government subsidies to become more energy efficient, starting with New York. 🏢\n\n# **Why Start with New York?** 🏙️\n\nWith the passing of NYC’s Local Law 97, which penalizes building owners for exceeding emissions thresholds, around 12% of all buildings in NYC are starting to get fined this year for non-compliance. In 2024 alone, $20M in fines are estimated for these building owners. If no action is taken, the fines are expected to increase to over $85M per year by 2030, with over 70% of buildings being non-compliant. 💸 These fines will continue to rise as emissions thresholds become more stringent over time. Consequently, investments to improve critical building infrastructure have grown substantially, along with the need for subsidies. Consolidated Edison (the largest utility in New York) alone has deployed over $2B in subsidies over the last 4 years! 💡🏢\n\nContractors in NYC often spend hours researching the latest requirements and regulations to submit incentive applications, which are often not done correctly. As a result, a contractor may promise a certain amount of incentives to a customer but potentially deliver a completely different amount. This volatility in subsidy money is problematic for contractors who focus on delivering the best pricing and service to their clients. Because subsidy programs are often tied to government entities, contractors and building owners are interested in understanding how to “stack” incentives, but are deterred by the required reading to understand how to do so. 📚❗️\n\n# **The Solution ✅**\n\nWe start tackling the money problem by streamlining subsidy applications for energy-efficient equipment for buildings. Contractors no longer need to spend hours emailing or calling incentive programs, wondering when they'll hear back or if they did anything wrong! By using AI to understand regulatory constraints, we accurately identify the best incentives and provide a comprehensive list of required documentation. 📝 More time and money back in our contractors' pockets! We constantly update our software to ensure the most up-to-date information, so users remain worry-free. 😌 Contractors can rest assured they are submitting the right paperwork to maximize their clients’ incentives! Our goal is to accelerate the energy transition while saving owners and contractors hundreds of thousands of dollars through low-cost sustainability improvements. 🌿\n\n![uploaded image](/media/?type=post&id=82545&key=user_uploads/1577786/6e77d10d-dc6f-4d32-9ff8-2a38502329e1)\n\n# **The Ask 🤲**\n\nWe’re actively looking to onboard more building owners, building management companies, and HVAC professionals/engineers based in NYC! If you’re interested or know anyone we should connect with, please send us a message at [founders@retrofix.ai](mailto:founders@retrofix.ai)! 📩\n\n# **The Team 🗣️**\n\n![uploaded image](/media/?type=post&id=82545&key=user_uploads/1577786/83b51bc2-d1ea-4621-b1f1-de09b1f532d0)\n\n",
        "url": "https://www.ycombinator.com/launches/LTN-retrofix-ai-turbo-tax-for-building-rebates",
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        "created_at": "2024-07-30T00:16:47.195Z"
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    "country": "US",
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        "user_id": 901694,
        "full_name": "Rajaram Srinivasan",
        "title": "Founder/CEO",
        "founder_bio": "Building data security for Gen AI.\nPrev: Palo Alto Networks, Adobe | MIT Alum",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rajaramsrinivasan",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a03990b831f31057f44e921c63774348d6c10eb1.jpg"
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      {
        "user_id": 1985851,
        "full_name": "Vignesh Subbiah",
        "title": "Founder/CTO",
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        "id": 69774,
        "title": "Founding Engineer",
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        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
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        "title": "Unbound raises $4M to help enterprises embrace AI tools on their terms | Markets Insider",
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      {
        "title": "Unbound secures USD $4 million seed to boost safe AI adoption",
        "url": "https://securitybrief.com.au/story/unbound-secures-usd-4-million-seed-to-boost-safe-ai-adoption",
        "date": "May 30, 2025"
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      {
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        "url": "https://www.entrepreneur.com/en-in/news-and-trends/race-capital-leads-usd-4-mn-funding-round-in-unbound/492477",
        "date": "May 29, 2025"
      },
      {
        "title": "Governance Start-Ups Boom In The Battle To Keep AI Honest",
        "url": "https://www.forbes.com/sites/davidprosser/2025/05/29/governance-start-ups-boom-in-the-battle-to-keep-ai-honest/",
        "date": "May 29, 2025"
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      {
        "title": " Unbound raises $4 Mn in seed round led by Race Capital",
        "url": "https://entrackr.com/snippets/unbound-raises-4-mn-in-seed-round-led-by-race-capital-9317863",
        "date": "May 29, 2025"
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    "launches": [
      {
        "id": 83204,
        "title": "🚀 Unbound Security - Secure Gen AI apps for enterprise",
        "tagline": "We help enterprises prevent data loss on consumer Gen AI apps",
        "body": "### TL;DR\n\n[Unbound Security](https://www.unboundsecurity.ai/) prevents leakage of sensitive information when employees use Gen AI applications. For example, we intervene and stop when someone pastes a code snippet that contains a secret key into ChatGPT while troubleshooting.\n\n# The problem\n\n1. **AI faces enterprise adoption roadblocks**: Despite Gen AI boosting productivity, many enterprises remain wary. Even in 2024, over 1 in 4 organizations have banned all AI apps, keeping them off-limits to employees.\n2. **AI app sprawl:** There are now well over 1,000 Gen AI apps, and many have questionable security practices. These cool “tools” continue to worry CSOs (Chief Security Officers) as employees are already using many of these to get work done.\n3. **Data privacy remains a top concern**: Over 55% of all prompts contain some form of Personally Identifiable Information (PII). This is not only a privacy nightmare, but also pushes enterprises out of compliance with multiple regulations such as PCI, SOX and HIPAA.\n\n# Our solution\n\n1. **AI app discovery:** We discover and catalog all AI apps in use by employees and help security teams understand the risk levels of each of these apps.\n\n   ![uploaded image](/media/?type=post&id=83204&key=user_uploads/901694/8e15836b-4e62-4980-8805-1c87c21af0dd)\n\n2. **Granular application access policies:** Rather than block all apps by default, we allow enterprises to allow some trustworthy AI apps and steer users towards those. For example, if your org invested in Chat GPT enterprise, we help get the most out of that investment by encouraging people to use that instead of a random cool file summarizer on the internet.\n\n   ![uploaded image](/media/?type=post&id=83204&key=user_uploads/901694/113c41b1-c9d2-4df4-b74d-b914db53680d)\n\n3. **Protect data leakage:** On the allowed AI apps, Unbound monitors all prompts and also blocks users from sharing sensitive information based on the configured AI usage policy.\n\n   ![uploaded image](/media/?type=post&id=83204&key=user_uploads/901694/47fc0b0f-3d45-4d58-8684-64e85e0d8d5c)\n\n\n# Our ask and offer\n\n1. If you know a company that has blocked the usage of AI apps, we can help your friends use these apps with IT consent. Please drop us a note at [founders@unboundsecurity.ai](mailto:founders@unboundsecurity.ai).\n2. If you’d like to understand what people are using AI for within your org, and stay compliant, we are happy to offer our AI visibility platform for free to any YC company. Let’s [chat more over a meeting.](https://calendly.com/rajws/30-mins-meeting)\n\n# The team\n\n[Vignesh](https://www.linkedin.com/in/vigneshsubbiah16/) and [Raj](https://www.linkedin.com/in/rajaramsrinivasan/) worked together at Adobe on the same Engineering team for 5+ years, solving some of the most complex problems in the digital advertising space - The team built sub-millisecond latency systems that processed billions of advertising artifacts. Vignesh went on to be founding engineer at Tophatter and an early engineer at [Shogun (YC S18)](https://www.ycombinator.com/companies/shogun). Raj has built data security products for Palo Alto Networks and Imperva prior to Unbound where he observed the struggles of data security programs in large enterprises.\n\n![uploaded image](/media/?type=post&id=83204&key=user_uploads/901694/7b8b3e08-52e1-4d45-86ac-9963a62da345)\n\n",
        "url": "https://www.ycombinator.com/launches/Le0-unbound-security-secure-gen-ai-apps-for-enterprise",
        "votes": 121,
        "created_at": "2024-08-19T22:37:57.387Z"
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    "id": 29660,
    "name": "Hyrex",
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    "long_description": "Hyrex is a task orchestration framework that uses PostgreSQL (or Hyrex Cloud) as a durable task queue. Define tasks in Python or TypeScript, send them to be processed asynchronously, and let Hyrex handle the rest.\r\n\r\nHyrex tasks are COLD: Controllable, Observable, Large-Scale, and Durable!",
    "one_liner": "The COLD Task Framework",
    "team_size": 3,
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 668182,
        "full_name": "Mark Dawson",
        "title": "Founder/CEO",
        "founder_bio": "Software Engineer. Second time founder. Currently focused on AI + Cloud infrastructure.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/markedwarddawson/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6790b0a938ff2f969081aec2eac59e12ba759360.jpg"
      },
      {
        "user_id": 1967655,
        "full_name": "Trevor Reed",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Hyrex, building the COLD task orchestration framework. Former Mars Rover driver at JPL with over 1km of drive distance on Mars and software engineer at Google processing worldwide YouTube data.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/trevorar",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f6e2f6d5eafc4fc06afb8ca024e54677782c091.jpg"
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    "launches": [
      {
        "id": 93335,
        "title": "Hyrex - The Open-Source COLD Task Framework",
        "tagline": "Production-grade background tasks built on Postgres",
        "body": "![uploaded image](/media/?type=post&id=93335&key=user_uploads/1967655/4c6a3685-1d2e-4f71-8808-ffcbd2a920a8)\n\n\\\nWe’re Mark and Trevor, founders of [Hyrex](https://hyrex.io). We’ve written a lot of software over the years at Google, NASA, and multiple startups. As our focus has shifted to scalable web apps, we’ve come to appreciate the magic of asynchronous background task queues. They make it easy to build lightning-fast apps that can scale dynamically, while ensuring that essential tasks are completed with full confidence, in priority order. This distributed approach is more important than ever for building dynamic AI agents, indexers, and web-first apps.\n\nHere’s a basic task orchestration architecture - you send tasks (i.e. function calls) to a queue, and workers pull them off and complete them in parallel.\n\n![uploaded image](/media/?type=post&id=93335&key=user_uploads/1967655/f29e6d7d-890b-4863-aa19-eea241e05714)\n\n**The Problem**\\\nUnfortunately, none of the existing frameworks supported everything on our checklist. As we talked with developers working on startups, we learned that most shared the same experience. Some frameworks require extensive code rewrites, while others are difficult to configure and debug, or simply unmaintained. Most lack a deep commitment to open-source, and many require dependencies on outdated or niche technologies. As you can probably guess by now, we decided to build our own!\\\n\\\n**Our Approach**\n\nWe started with a few core creative constraints.\n\n1. Only required dependency is a Postgres database.\n2. Existing functions can be converted to tasks using just a decorator/wrapper. No changes to your core code that lead to lock-in.\n3. Open-source first, with a higher-performance managed service with an identical SDK. Easy to switch back-and-forth.\n4. Can be set up and tested in minutes.\n\nAnd we ended up with Hyrex!\n\nIf you’ve used a task framework before, everything should work as you expect (and probably better)! If you’re new to task frameworks, everything you need to know is at [hyrex.io/docs](https://hyrex.io/docs)\n\n![uploaded image](/media/?type=post&id=93335&key=user_uploads/1967655/8472e657-3969-4e48-aa91-d4a8ecdc7f85)\n\n\\_(Hyrex Cloud in action)\\_\\\n\\\n**What is COLD?**\n\nWhy do we call ourselves “the COLD task framework”? For each function you wrap as a Hyrex task, you get 4 properties needed for production-grade systems:\n\n* **Controllable** - tasks can be sent from anywhere, anytime, with any configuration\n* **Observable** - tasks status, results, logs, and metadata are easily available via a UI or programmatically\n* **Large-scale** - workloads are horizontally scalable across any cloud infra (even multi-cloud)\n* **Durable** - workers are fault-tolerant and self-healing, and tasks can’t be dropped once they’re in the system\n\nWith these built-in properties, your Python/TypeScript functions are ready to send with confidence. You can run them on schedules and easily chain them together into task trees to build products like Deep Research and dynamic AI agents.\n\n![uploaded image](/media/?type=post&id=93335&key=user_uploads/1967655/a9e116eb-a557-4687-8f6a-fd8242f72e3d)\n\nHyrex open-source requires only a Postgres database to run. Hyrex Cloud ([hyrex.io/cloud](https://hyrex.io/cloud)) provides higher throughput, GitHub integration with automatic deployments when you push changes, and built-in scalable worker pools. Both options use the same SDKs, so you can easily switch at any time!\n\n**Hyrex Cloud pricing**\n\n* $200/month - individual plan (1 project + 1 worker)\n* $400/month - team plan (up to 5 members and 5 projects + 2 workers)\n\n**Our ask:**\n\n* Sign up for a 1:1 demo at [hyrex.io](http://hyrex.io)\n  * We’d love to chat directly and help write your first Hyrex task!\n* Try it out on your own!\n  * Build your first Hyrex task in minutes using our quickstart guides: https://hyrex.io/docs/learn/getting-started\n* Join our Discord ([discord.gg/hyrex](https://discord.gg/hyrex)) for questions and discussion",
        "url": "https://www.ycombinator.com/launches/OHP-hyrex-the-open-source-cold-task-framework",
        "votes": 17,
        "created_at": "2025-08-27T13:44:23.405Z"
      },
      {
        "id": 83339,
        "title": "Kura | The AI DevOps Copilot",
        "tagline": "Kura is an intelligent copilot that helps software teams manage and optimize their cloud infrastructure.",
        "body": "**TL;DR:** [Kura](https://www.usekura.com/) integrates directly with services like AWS, helping software teams respond to incidents, provision infrastructure, and optimize complex cloud systems.\n\n![uploaded image](/media/?type=post&id=83339&key=user_uploads/1967655/a1945e14-3f49-4491-8e31-d40335e6f5ab)\n\nHello YC! We’re [Trevor](https://www.linkedin.com/in/trevorar) and [Mark](https://www.linkedin.com/in/markedwarddawson/), founders of Kura. After building distributed systems for a combined \\~15 years at places like Google and NASA, we know the challenges and triumphs of cloud-based products. We started Kura with the core belief that recent AI advancements can unlock the potential of software teams building on the cloud.\n\n# **What’s the problem?**\n\nAs web apps become increasingly core to the world, maintaining cloud infrastructure requires increasingly more time and resources.\n\n* Distributed systems are getting more complex than ever\n* Managed solutions trade off ease against control and cost\n* Cloud infra engineers are few and far between, leaving much of the work to teams who may not have extensive cloud experience\n\n# **What can Kura do?**\n\nKura is a chatbot and workspace that integrates directly with a live index of your cloud infra from services like AWS, GCP, and Azure.\n\n![uploaded image](/media/?type=post&id=83339&key=user_uploads/1967655/be157dd9-7ee9-48bf-af07-aca46efca63c)\n\n**Kura can answer questions about your cloud system**, providing links and live information for queries like:\n\n* “Is my main API cluster healthy?”\n* “Which container version is running in prod?”\n* “Can you help me deploy a new container via CDK?”\n\n**Kura can run pre-packaged and user-defined “runbooks”** to proactively surface issues via notifications. For example:\n\n* Scheduled checks for over/under-utilized computing resources\n* Discovering and surfacing cost spikes and trends\n* Searching for common security vulnerabilities\n\nWith Kura, software teams can build faster and more confidently on the cloud, all while maintaining full control of their critical infrastructure.\n\n# **Our ask:**\n\n* If your team is building on the cloud and would like to learn more or sign up as a pilot customer, please reach out to [founders@usekura.com](mailto:founders@usekura.com).\n* If you know software teams or developers running into roadblocks due to cloud complexity, please send this post their way - we’d love to chat and learn more!\n* Follow us at [@kura_labs](https://x.com/kura_labs) to follow along on the journey!",
        "url": "https://www.ycombinator.com/launches/LgB-kura-the-ai-devops-copilot",
        "votes": 57,
        "created_at": "2024-08-23T01:15:08.727Z"
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    "id": 29665,
    "name": "Cloudglue",
    "slug": "cloudglue",
    "former_names": [
      "Aviary",
      "CloudGlue"
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    "website": "https://cloudglue.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cloudglue is the video context layer for AI. We make it easy for your AI to understand video.\r\n- Tinycloud - your AI agent for video, now open for beta: https://tinycloud.cloudglue.dev\r\n- Developer API Platform: https://cloudglue.dev\r\n",
    "one_liner": "The video context layer for AI.",
    "team_size": 4,
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        "tagline": "Run complex physics simulations signficantly faster than any commerical tool.",
        "body": "**TLDR:** AI-accelerated 3D physics simulator for engineers\n\n[DeepSim](https://www.deepsim.io/) makes it easy for engineers to run 3D physics simulations fast. This means rapid design iterations for better products and real-world monitoring for better decisions.\n\nWe built a new physics simulation platform that leverages AI physics models for very fast, ultra-scalable physics simulations.\n\n—\n\nHi everyone! We are [Connor,](https://www.linkedin.com/in/connor-j-mcclellan/) [Alex,](https://www.linkedin.com/in/alexgabourie/) and [Chuck,](https://www.linkedin.com/in/ckoroglu/) and we love physics simulations. While working on our PhDs at Stanford, we saw how physics simulators needed a refresh to solve modern problems. That’s why we started [DeepSim.](https://www.deepsim.io/)\n\n## The Problem\n\nRunning 3D physics simulations is **difficult**, **expensive**, and **slow**.\n\n1. **Setup:** Experienced engineers still spend countless hours meshing their designs before even running a single simulation.\n2. **Run:** Many simulations take hours to even weeks on expensive compute systems. Some are even intractable and require highly trained engineers to simplify the problems at a significant cost of accuracy.\n3. **Attention:** Each step requires constant babysitting as simulators are fragile and can fail at any time.\n\n🧑‍🔧️ Engineers hate the tedious simulation setup and wasted time due to failed simulations.\\\n👔 Managers hate that engineers can’t go faster and use tons of cloud credits.\\\n💰 CEOs/VPs hate that engineering delays stall a product launch.\n\n## The Solution\n\nLeverage AI to **simplify**, **speed up**, and **scale up** 3D physics simulations.\n\nWe are building a new AI physics simulation platform, automating away the physics setup and simulating designs 1000X faster with no drop in accuracy.\n\nOur platform uses lightweight, easy-to-train AI models combined with a powerful GPU-accelerated solver to deliver solutions quickly and efficiently. This approach eliminates the bulkiness of traditional finite element method (FEM) tools and overcomes the inflexibility of other AI physics simulators.\n\n![uploaded image](/media/?type=post&id=83111&key=user_uploads/1869533/6218d9cd-39b9-4307-a144-9f346d8d3c65)\n\nAt [DeepSim](https://www.deepsim.io/), we have already worked with semiconductor companies to build the most powerful thermal simulator for circuit design, running thermal simulations with billions of nodes in minutes on a single GPU, which is 1000X more detail than a commercial tool can deliver using 50+ CPU cores in the same amount of time.\n\nWith DeepSim's simulator, we are able to model extremely complex geometries with length scales spanning 6 orders of magnitude, intractable to solve with FEM tools. Below is a thermal simulation of an integrated circuit, complete with a heat sink and airflow, that only took 10 minutes to run. We can resolve hot spots in individual transistors (\\~10 nm in size) within a whole chip (1 cm).\n\n![uploaded image](/media/?type=post&id=83111&key=user_uploads/1869533/26e48815-e3db-4cfa-bdd4-52168c537546)\n\n## Use Cases\n\nThis is a breakthrough in 3D physics simulations that empowers engineers in the same way FEM did 50 years ago. We’re excited to see where engineers take our tool!\n\nSome initial use cases are:\n\n* Speeding up the design of complex systems with faster simulations\n* Utilizing design automation to speed up development\n* Developing digital twins for system operation\n\n## The Team\n\n![uploaded image](/media/?type=post&id=83111&key=user_uploads/1869533/c032c745-4faf-4374-8a43-92de0645a397)\n\nChuck, Alex, and Connor founded DeepSim to solve the frustrating parts of their PhDs.\n\n## The Ask\n\nWe would love to talk with engineers that…\n\n* design and operate battery packs for EVs or grid-scale energy storage\n* design and deploy satellites\n* work on thermal management of semiconductors, from the chip scale to data centers\n* have any complaints about slow or frustrating simulations\n\nContact us at [founders@deepsim.io](mailto:founders@deepsim.io)!",
        "url": "https://www.ycombinator.com/launches/LcV-deepsim-ai-physics-simulations",
        "votes": 35,
        "created_at": "2024-08-16T04:14:43.665Z"
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    "id": 29673,
    "name": "Storia AI",
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    "long_description": "With AI increasingly automating away code generation, software engineers will spend more time reading, judging, and architecting code rather than writing it. Storia is building an open-source copilot that knows a company's codebase and its context.\r\n\r\nWe are starting with Sage, a Perplexity-like agent for helping developers understand, judge, and generate software. Given an existing codebase, developers can ask Sage questions such as:\r\n1) Given my project’s SLA and latency constraints, what is the appropriate underlying vector database to use? How would I incorporate it into my existing codebase?\r\n2) Why should I pick Redis over Milvus as my underlying vector store?\r\n3) Does this codebase in our organization still work and what steps are required for a complex integration with another library?\r\n\r\nSage’s answers are directly supported by documentation and external references like GitHub, Stack Overflow, technical design documents, and project management software, preventing hallucinations. Today, Sage has up-to-date knowledge about open-source repositories (indexed daily). Tomorrow it will have a deep understanding of every line of code on the Internet. For teams, Sage will know about your private codebase too.\r\n\r\nNo group has yet solved how to build an AI system that comprehends a codebase and its context and can empower every developer to architect better code, faster. This requires new research advances because vanilla RAG and out-of-the-box LLMs aren’t going to cut it. \r\n\r\nWe have 20+ years of software engineering and AI research experience. Julia worked on precursors of Gemini using contextual neural techniques before they were called “RAG” (and applied it to products like Google Keyboard and Pixel phones). Mihail built the earliest LLMs at Amazon Alexa and launched the first contextual deep learning conversational AI system in production at Alexa.\r\n",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1724629645,
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/storia-ai/",
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      "name": "David Lieb",
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        "full_name": "Julia Turc",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder @ Storia & previously at Google Research.\n\n10+ years in NLP. Built the first bidirectional RNN for machine translation at Oxford. At Google, I helped build pivotal technologies like federated learning, the AI layer on top of Android, and RAG for precursors of Gemini. Excited about how NLP is now redefining software engineering.",
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        "linkedin_url": "https://www.linkedin.com/in/iulia-raluca-turc/",
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        "id": 83405,
        "title": "Storia: A contextual AI pair programmer for developer teams",
        "tagline": "We help engineering teams understand, analyze, and generate software with their codebases.",
        "body": "![uploaded image](/media/?type=post&id=83405&key=user_uploads/812126/ce70880c-852a-4e80-a573-88f6742298ed)\n\nHi everyone. We’re Julia and Mihail, the team behind [Storia](https://storia.ai/?utm_source=yc&utm_medium=social&utm_campaign=launch-yc). We have 20+ years of software engineering and AI research experience. [Julia](https://www.linkedin.com/in/iulia-raluca-turc/) worked on precursors of Gemini using contextual neural techniques before they were called “RAG” (and applied it to products like Google Keyboard and Pixel phones). [Mihail](https://www.linkedin.com/in/mihaileric/) built the earliest LLMs at Amazon Alexa and launched the first contextual deep-learning conversational AI system in production at Alexa.\n\n**👎 The Problem: <5% of software teams use AI code understanding and generation systems**\n\nDespite all the hype around AI coding following the release of GitHub Copilot, a disappointingly small percentage of engineering teams have actually adopted AI assistants into their developer workflows. Why?\n\nWhat developers don’t like about systems today:\n\n1. **Code search is not accurate enough**, slowing dev velocity.\n2. **Code assistants are not grounded in their team’s codebase**, so they lack the necessary context to produce useful and high-quality answers.\n3. **Code outputs can be incorrect** due to hallucination which strains dev patience and trust.\n\n**🚀 The Solution: A contextual AI pair programmer built for any team’s codebase**\n\n![uploaded image](/media/?type=post&id=83405&key=user_uploads/812126/0e093af4-4352-4550-a123-be44cf3dc747)\n\nWe’re building [Sage](https://sage.storia.ai/?utm_source=yc&utm_medium=social&utm_campaign=launch-yc), a Perplexity-like agent for helping developers understand, analyze, and generate software. Given an existing codebase, developers can ask Sage questions such as:\n\n* _For my project’s SLA and latency constraints, what is the appropriate underlying vector database to use? How would I incorporate it into my existing codebase?_\n* _Why should I pick Redis over Milvus as my underlying vector store?_\n* _Does this codebase in our organization still work, and what steps are required for an integration with another library?_\n\nA few of the features Sage supports:\n\n* **We index repos daily**, providing users with the most up-to-date info about how to use a library (no stale, deprecated API definitions),\n* We have a Perplexity-like focus on **citing the source of every generated line of code**, enhancing developer trust.\n* We've developed algorithms grounded in research for **syntactic and semantic understanding of a codebase** so that we can provide more relevant context and use it effectively given a user query.\n\n We are now actively working with seed to series C partner companies to help them integrate Sage into their developer workflows. \n\n**🌅 The Opportunity: Making every engineer on a software team a 10x developer**\n\nThere are \\~28M developers worldwide. Github Copilot is the frontrunner in AI assistant tooling and reached $100M ARR in 2 years, which is only a small percentage of the $913B spent on software development in 2023.\n\n**🙏 Our Ask**\\\nWe’re still onboarding a closed group of beta partners to integrate with Sage. We would appreciate connecting with engineering leaders (VP of engineering, Head of Engineering, CTO)  at Seed-Series C companies. \n\nAdditionally, if you want your open-source repository indexed reach out to us at [mihail@storia.ai.](mailto:founders@storia.ai)\n\n![uploaded image](/media/?type=post&id=83405&key=user_uploads/812126/dd520900-8415-4ee5-8707-554b7197037b)\n\n",
        "url": "https://www.ycombinator.com/launches/LhF-storia-a-contextual-ai-pair-programmer-for-developer-teams",
        "votes": 38,
        "created_at": "2024-08-26T16:32:20.077Z"
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    "website": "https://www.useoffstream.com/",
    "all_locations": "Denver, CO, USA",
    "long_description": "Offstream is Vanta for carbon compliance. \r\n\r\nToday, every new infrastructure project, from data centers to biomass power plants has a complicated mess of local, state, federal, and private sector standards that they must understand and comply with to make their projects profitable.\r\n\r\nOffstream solves this by using LLMs to parse regulations, generate technical reports for customers, and manage 100,000+ operational data points on project’s lifecycles. We cut the time customers spend on compliance by 90% and at 1/5th of the cost of alternatives.",
    "one_liner": "Vanta for carbon compliance",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1720465631,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/useoffstream",
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        "full_name": "Varsha Ramesh Walsh",
        "title": "Founder/CEO",
        "founder_bio": "CEO and co-founder at Offstream. HBS '23. \n\nPreviously a strategy lead at Indigo Ag where I launched a traceable cotton business and got the business to $50M GMV bookings in a year. At Indigo, I experienced the pain point we are now solving at Offstream. We hired 80 people and spent $50M to just get carbon compliant.",
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        "full_name": "Zach Janicki",
        "title": "Founder/CTO",
        "founder_bio": "CTO and cofounder of Offstream. CS from Notre Dame. Previously 1st engineering hire at Repool (YC S21) building hedge fund software, and early engineer at Pathpoint building insurance brokerage software. I've spent my career turning paperwork into software",
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        "title": "Implementation Engineer",
        "url": "https://www.ycombinator.com/companies/offstream/jobs/o2PGDN4-implementation-engineer",
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        "type": "Full-time",
        "role": "Operations",
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        "equity_range": "0.05% - 0.20%",
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        "id": 82460,
        "title": "Offstream - Streamlined carbon compliance for project developers",
        "tagline": "Less time on paperwork, more time scaling decarbonization",
        "body": "We’re Varsha and Zach, the co-founders of [Offstream](https://www.useoffstream.com/). We’re automating carbon compliance for project developers.\n\n👥 **The Team**\n\n![uploaded image](/media/?type=post&id=82460&key=user_uploads/1511734/c26f1ce5-81dd-4fc1-8ec5-70c1c016a774)\n\n5 years ago, [Varsha](https://www.linkedin.com/in/varsha-ramesh/) struggled through carbon compliance as a project developer at Indigo Ag. While she was at HBS, she spoke to hundreds of developers with the same challenges she faced, who all asked for a solution to their compliance bottleneck.\n\n[Zach](https://www.linkedin.com/in/zachjanicki) brings many years of full-stack software engineering experience at early-stage startups across compliance, legal, and accounting. He brings much-needed insight into building scalable products that replace people-intensive workflows.\n\n❗**The Problem**\n\nDespite a growing amount of funding (to the tune of $2T annually) flowing into new decarbonization projects, it is incredibly challenging for project developers to complete the paperwork needed to access that funding.\n\nToday, carbon project developers navigate a complex web of credits, regulations, and market standards. This information comes from local, state, and federal governments, NGOs, industry coalitions, and investors.\n\nTracking and reporting on compliance data is time-consuming, opaque, and expensive. The standards are dense, and most teams manage millions of data points in Excel and emailed PDFs, creating admin headaches.\n\n🏆 **The Solution**\n\n![uploaded image](/media/?type=post&id=82460&key=user_uploads/1511734/c3bf3ca9-fbf6-45d7-ac4b-5da337d326de)\n\nOffstream is a one-stop shop for carbon compliance, making it simple for carbon project developers to get compliant and stay compliant with regulatory and voluntary market compliance standards.\n\n<https://youtu.be/YrXj7POfO30>\n\nUsers set up and generate life cycle assessments (LCA), which are a core component of all compliance standards. Offstream builds off the LCA to generate compliance documentation at a fraction of the cost and time of alternatives.\n\n[Are you ready to stop spending time on paperwork and spend more time scaling decarbonization? Join us.](https://www.useoffstream.com/)",
        "url": "https://www.ycombinator.com/launches/LS0-offstream-streamlined-carbon-compliance-for-project-developers",
        "votes": 132,
        "created_at": "2024-07-29T14:07:11.508Z"
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    "id": 29676,
    "name": "Elevate",
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    "long_description": "Elevate is bringing AI to private equity-backed roll-ups. \r\n\r\nFor example, one of our customers is Guardian Restoration Partners, which is backed by Alpine Investors, the leading roll-up focused private equity firm. In three months, we integrated 10 acquisitions and enabled them to pilot AI agents built on top of our data warehouse. \r\n\r\nWe know this problem personally. Before Elevate, Scott was a Vice President at a $15B private equity firm where he was leading a roll-up. Steve and Jeff are both software engineers with backgrounds across finance, big tech, and start-ups. The founding team has been friends for over a decade from their Duke undergraduate days. ",
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/elev4te-ai",
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        "full_name": "Scott Cara",
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        "title": "Forward Deployed Engineer (FDE)",
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        "title": "AI Deployment Lead",
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        "title": "Elevate - AI-powered data management for roll-ups",
        "tagline": "Providing private equity-backed companies with better data and access to AI tools",
        "body": "[Scott](https://www.linkedin.com/in/scott-cara-31829041/) here from [Elevate](https://www.useelevate.dev/), showcasing our AI-powered data management for roll-ups.\n\n# **⚠️ Problem: Private equity-backed businesses struggle to use AI because of data challenges.**\n\n📉 75% of M&A deals underperform due to **integration** challenges \n\n🔥 #1 cause of M&A integration problems is **data** fragmentation \n\n🤖 #1 hurdle blocking companies from using AI is **data** quality – #2 is **data** privacy & protection\n\n# 🚀 **Solution:** **Elevate’s AI-powered data management platform acts as a translator enabling PE-owned businesses to use AI in their daily operations.**\n\nOur platform helps PE-backed acquisitive companies (aka roll-ups) reach for data nirvana through:\n\n1. **Migrations:** Transitioning data from legacy systems to the core tech stack,\n2. **Warehousing:** Consolidating, cleaning, and enriching data across acquisitions and systems, providing a single source of truth, and\n3. **AI Services:** Unlocking agentic AI automations built on top of clean warehouse data.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdhAUwhGszwvyPlBFEYAfccNMFkNhz9tFht9DK0R7Mn8efaeTgqsJiQHHFbvf8pZM5f2k76wHg75gJpT49XnlnomjZo6kfiN74m4yTCrGcUYzi-tncfAfe-DlchOMmNSR_HHxeo8w?key=d4EvylbdqETj4Y-psv5-Bw)\n\nBut don’t trust us, ask our customers. \n\nhttps://youtu.be/H1sDiTtCV44\n\n# 🧑‍💻 **Team: Expertise at the intersection of finance x tech.**\n\n[Scott](https://www.linkedin.com/in/scott-cara-31829041/) (CEO) was most recently a Vice President at Sycamore Partners, a $10B+ AUM private equity firm. Scott is also a Harvard Business School grad where he hob-knobbed with too many finance bros + gals. \n\n[Steve](https://www.linkedin.com/in/steve-mazzari-38b470b1/) (CTO) was a software engineer at Meta, the ~~social media giant,~~ ~~metaverse pioneer,~~ AI talent acquisition firm. He has also seen this movie before as a founding engineer at multiple start-ups. \n\n[Jeff](https://www.linkedin.com/in/jeffrday/) (CPO) was a software engineer at a $17B+ hedge fund, before giving into the crypto-craze. His Circle stock sustains us. \n\nThe three founders have known each other for over a decade since their CS undergrad majors together at Duke in the not-so-dirty-anymore Durham, NC. \n\n# **🎺 Asks:**\n\n**PE / roll-up connections:** Find your friends in private equity and tell them about this cool new AI solution that will make their portfolio companies better, them richer, and their lives less miserable.  \n\n**AI solutions:** If you are building an AI tool that could be useful for PE-backed companies (👋 that’s \\~all of you!), reach out + let’s chat to see if there could be a use case for our customers. \n\nContact us: [hello@useelevate.dev](mailto:hello@useelevate.dev) \n\n**Elevate**dly Yours, \n\n[Scott](https://www.linkedin.com/in/scott-cara-31829041/), [Jeff](https://www.linkedin.com/in/jeffrday/), and [Steve](https://www.linkedin.com/in/steve-mazzari-38b470b1/)\n\n![uploaded image](/media/?type=post&id=93226&key=user_uploads/1977390/a54f9874-662a-4886-80d7-fb0bf1954f08)\n\n",
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        "created_at": "2025-08-21T01:30:29.370Z"
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        "body": "**TL;DR:** CodeViz builds a visual map of your codebase that makes it easy to understand and navigate. Software engineers spend 70% their day reading existing code to gather context - we’re fixing that. \n\n**Our Ask:** Try our [VS Code Extension](https://marketplace.visualstudio.com/items?itemName=CodeViz.codeviz#review-details), [tell us](https://calendly.com/liam-codeviz/15min) what you think, or [set up](https://calendly.com/liam-codeviz/15min) CodeViz for your team!\n\n![uploaded image](/media/?type=post&id=83115&key=user_uploads/885544/6ee8d3c7-0363-426c-ac46-c0a861aa4f7e)\n\n---\n\n---\n\n---\n\n—\n\nHi everyone, we’re [Liam](https://www.linkedin.com/in/liam-prevelige/) and [Will](https://www.linkedin.com/in/williamlmccall/), and we’re building CodeViz, the dev tool we wish we had at Tesla. From potato cannons to arbitrage bots, we’ve been hacking projects together since we met at Dartmouth 5 years ago.\n\n### ❗The Problem:\n\nLike most developers, Will and I were frustrated that 70% of our time was spent reading existing code to gather context, instead of actually writing code.\n\n### 🛠️ Our Solution:\n\nOur VS Code extension creates an interactive map of codebases - from high-level system architecture to function calls. Our goal is to give all developers the deep contextual knowledge that’s core to 10x engineers.\n\nEngineers from Amazon, Roblox, and Microsoft are already using CodeViz to quickly understand and navigate code.\n\n![uploaded image](/media/?type=post&id=83115&key=user_uploads/885544/c3dbf88d-250b-4976-a701-375f4883d2cc)\n\nNavigate through the actual flow of your code, rather than file structure.\n\n### Our Ask: Try Codeviz!\n\n* Install [CodeViz](https://marketplace.visualstudio.com/items?itemName=CodeViz.codeviz#review-details) from the VS Code Marketplace and give it a spin in your projects.\n* Schedule a [chat](https://calendly.com/liam-codeviz/15min) to learn about our business and enterprise packages.\n\nIf you hear your friends or co-founders complaining about navigating, organizing, or understanding code, please send them our way!\n\nReach out anytime:\n\n[liam@codeviz.ai](mailto:liam@codeviz.ai) | [will@codeviz.ai](mailto:will@codeviz.ai)\n\n![uploaded image](/media/?type=post&id=83115&key=user_uploads/885544/427fd052-e909-40cc-ba4a-e103353612ac)\n\nWill and I at Dartmouth’s graduation last year",
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        "created_at": "2024-08-16T14:25:38.466Z"
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      {
        "id": 83601,
        "title": "Parahelp - The AI support agent for software companies",
        "tagline": "Helping leading CX teams at Perplexity and Captions.",
        "body": "**TL;DR** - [Parahelp](https://parahelp.com/) is an AI support agent for software companies that resolves support tickets end-to-end.\n\n**For example:** When a customer requests a refund, Parahelp can automatically look up subscription details, process the refund in the payment system if eligible, and respond to the customer.\n\n![uploaded image](/media/?type=post&id=83601&key=user_uploads/1759533/af0fff3f-d445-455f-bde8-c770f1389f1f)\n\n**Problem**\n\nMost CX teams have tried a chatbot solution that didn't move the needle in production.\n\nThis is because resolving tickets end-to-end, such as billing inquiries and technical issues, requires using multiple tools to look up customer data (subscription status in RevenueCat, platform details in Retool, etc.) and execute relevant actions (process refunds in Stripe, create bug reports in Linear, etc.).\n\n**Solution**\n\nWe've built Parahelp as an AI agent that works with CX teams' existing tools to reliably resolve support tickets end-to-end in production.\n\nParahelp can be highly customized to the team’s knowledge and processes and implemented in days, not months.\n\nOur state-of-the-art agent infrastructure enables our AI support agent to:\n\n* Be human-level empathetic and engaging\n* Quickly adapt to product and company changes\n* Take actions in tools like Stripe, Retool, and Linear\n* Work directly in Intercom and Zendesk\n\n**Results**\n\nWe're already helping leading CX teams at Captions and Perplexity. Together with Captions, we’ve created a [case study](https://parahelp.com/customers/captions) about how Parahelp was resolving 46% of all their support tickets within 7 days of implementation.\n\n**Ask**\n\nWe'd love to chat if you're a software company looking to implement an AI solution for your support operations!\n\nBook a demo with us here: <https://cal.com/mads/parahelp-demo>.\n\n![uploaded image](/media/?type=post&id=83601&key=user_uploads/1759533/0fb2454c-af68-4ddc-8a84-41447cea3628)\n\n",
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        "votes": 24,
        "created_at": "2024-08-29T20:23:26.320Z"
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    "long_description": "Transform your iMessage conversations into shareable stories\r\n\r\nFounded by a team of ex-Google Photos and AI engineers, we’re bringing the same “turn personal data into something you actually come back to” loop to relationships ",
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        "body": "**tldr:** [Passage](https://www.trypassage.com/) is an AI co-pilot that helps businesses clear their imported goods through customs.\n\n# **🙏 Our Ask**\n\n* **Do you (or someone you know) work in logistics?** Whether you import goods, move goods (e.g., freight forwarders), or clear goods (e.g., customs brokerages), let us buy you a coffee and book some time with us [here!](https://calendar.app.google/krfxBvRqXMP416eW8)\n* Just want to give Passage a spin? Try it [here](https://assistant.trypassage.com?u=launchyc) for a limited time!\n\n# **⛔️ The Problem**\n\n* Every company that brings goods into the US (e.g., Apple, IKEA) needs to clear it through customs\n* The problem is that clearing customs is super complicated. It has tons of manual work, and if a business screws it up, they face thousands in penalties\n* This leads to businesses spending hundreds of thousands on customs services, only to spend hours on manual data entry and searching complex regulations\n\n![uploaded image](/media/?type=post&id=82216&key=user_uploads/1316171/28651bd0-d381-4593-960c-6126aa32cc69)\n\n# **⚙️ The Solution**\n\n* To tackle this, we’ve built a co-pilot to make clearing customs easier than ever for businesses\n* Have teams of people manually keying in data? We’ll help streamline the tedious data entry from shipping documents, so your team can spend time on the things that matter\n* Worried about submitting incorrect data to the government? We’ll check that the data is consistent across all your shipping documents and proactively flag if there’s anything that doesn’t line up\n\n![uploaded image](/media/?type=post&id=82216&key=user_uploads/1316171/594ed69f-d766-485a-8692-588eabc34e32)\n\n* Struggle to understand complex regulations or classify products? We plug directly into key government resources like the code of federal regulations and product tariff schedule so you can clear your goods without the fear of huge penalties\n\n![uploaded image](/media/?type=post&id=82216&key=user_uploads/1316171/a5bb48d5-bac6-4161-a9a2-020d07676b17)\n\n# **🧑‍🤝‍🧑 The Team**\n\n[Aditya](https://linkedin.com/in/aditya-nadkarni) and I ([Terrell](https://linkedin.com/in/terrellm)) are friends from college and even have a patent for an AI physical therapy platform. Since college, we’ve moved in together as roommates in San Francisco and have worked on AI products at Flexport and Google. Aditya helped build the AI document processing platform at Flexport (which is how we first learned of the many issues in the logistics industry), and Terrell shipped AI editing features used by Google Photos’ +1B user base.\n\n![uploaded image](/media/?type=post&id=82216&key=user_uploads/1316171/3ff82873-ae62-4972-b81e-63cc25fa6fd8)\n\nAbove is a photo of us after skydiving :) 🪂",
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        "tagline": "Enterprise AI for Consulting Firms",
        "body": "### **TL;DR**\n\nKenley is the AI platform built for consulting firms. We help firms power critical workflows—from drafting proposal decks to scaling due diligence research—so consultants can focus on excellence.\n\n[Demo Here](https://youtu.be/cCi7Uqu5WjU?feature=shared)\n\n### **Problem**\n\nConsulting firms sit on a wealth of insight, but it’s buried in decks, transcripts, and distributed tools. Most AI platforms ignore the unique workflows of services firms. The result? Hours wasted searching for precedent, rewriting the same slides, and missing what your firm already knows.\n\n### **Solution**\n\nKenley WorkStreams connects your firm’s expertise directly to the work your teams deliver.\n\n**Leverage your firm’s expertise**\n\nKenley connects siloed information across decks, meeting notes, and other operational systems into one unified search experience. Consultants can instantly surface precedent from past work, find relevant subject-matter experts, or reference similar deliverables. No more hunting through SharePoint or pinging colleagues for context. It’s the fastest way to apply what your firm already knows to the work in front of you.\n\n![uploaded image](/media/?type=post&id=90290&key=user_uploads/306562/7c6e4045-3142-4467-bd0a-afab99425e7b)\n\n**Uncover conversational insights**\n\nEvery consulting project generates valuable insight through expert interviews, internal meetings, and client working sessions, but most of it goes unstructured and unused. Kenley captures and synthesizes these conversations to surface themes, recommendations, and supporting evidence. Results are traceable to source, so nothing is lost in translation. Teams can move from raw transcripts to cited insight in minutes, not hours.\n\n![uploaded image](/media/?type=post&id=90290&key=user_uploads/306562/d24e4fc6-ad08-48de-a731-4433ad8c8a1c)\n\n**Generate high-quality decks**\n\nKenley helps consultants draft slides, summaries, and deliverables that reflect the firm’s voice and standards. Whether building a market landscape, summarizing client input, or structuring a SoW, WorkStreams saves time without sacrificing quality. It works with your templates and draws on your internal precedent to produce outputs that are 80% ready out of the box. Consultants spend less time formatting and more time thinking.\n\n![uploaded image](/media/?type=post&id=90290&key=user_uploads/306562/03d82e32-5c38-4301-8336-c82411ded7fa)\n\n**Enterprise-Grade Data Security and Access Controls**\n\nThe Kenley platform is built with enterprise-grade data security at its foundation; robust access controls, role-based permissions, and strict data isolation. Kenley never uses your data for external training or 3rd-party storage. You stay in control of your information, with the assurance that every output respects firm policies and client confidentiality.\n\n![uploaded image](/media/?type=post&id=90290&key=user_uploads/306562/f5683d3c-fe5d-4ebb-af91-01e298b36bb4)\n\n---\n\n---\n\n**Request a Demo**\\\n[Request a demo](https://kenley.ai) to learn how leading firms are using Kenley to drive consulting excellence with AI.",
        "url": "https://www.ycombinator.com/launches/NUI-kenley-ai-for-consulting-excellence",
        "votes": 11,
        "created_at": "2025-05-12T14:44:01.830Z"
      }
    ]
  },
  {
    "id": 29691,
    "name": "Tandem",
    "slug": "tandem-2",
    "former_names": [
      "Tandem Space",
      "Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/088175fa9125ef3885f5ea688b7630e8021bece3.png",
    "website": "https://tandemspace.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tandem is an AI-native office leasing platform. We’re using technology to unlock an easier leasing process.   Our AI co-pilot provides a white-glove-quality B2B office search experience, with a fraction of the human labor typically required.\r\n\r\nToday we’re serving three primary markets — NY, SF and BOS.  We’ve helped more than 500 companies find great office space and have seen double-digit month-over-month growth.",
    "one_liner": "AI-native office leasing broker",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Office Management",
    "launched_at": 1717027194,
    "tags": [
      "Real Estate",
      "B2B",
      "Proptech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Office Management"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/tandem-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/tandem-2.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tandemspace",
    "x_url": "https://x.com/Tandemspace",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/088175fa9125ef3885f5ea688b7630e8021bece3.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1303089,
        "full_name": "Rafi Sands",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Tandem. \n\n20-time marathon runner, (former!) Guinness World Record Holder, Oaklandian. Spent two years at Stanford researching the future of the office market after COVID under Professor Nick Bloom.  Blog at rafisands.substack.com",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rafisands",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6765bd9785519e5c15039ce44a3fae55041d7f8c.jpg"
      },
      {
        "user_id": 1642790,
        "full_name": "Brendan Suh",
        "title": "Founder",
        "founder_bio": "Co-founder & COO @ Tandem\n\nhttps://tandemspace.com/",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/brendansuh",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27ec7e4b0326bc7ab7b7e21a50a3b0071ae4dfeb.jpg"
      }
    ],
    "jobs": [
      {
        "id": 95409,
        "title": "GTM & Biz Ops @ Tandem (San Francisco)",
        "url": "https://www.ycombinator.com/companies/tandem-2/jobs/P5Av6nq-gtm-biz-ops-tandem-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$70K - $130K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 99014,
        "title": "GTM & Biz Ops @ Tandem (New York City)",
        "url": "https://www.ycombinator.com/companies/tandem-2/jobs/NbUbUve-gtm-biz-ops-tandem-new-york-city",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $130K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114304,
        "title": "Real Estate Lead (New York City)",
        "url": "https://www.ycombinator.com/companies/tandem-2/jobs/M5AjWno-real-estate-lead-new-york-city",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116835,
        "title": "Content Marketing Intern - Tandem SF",
        "url": "https://www.ycombinator.com/companies/tandem-2/jobs/xdaBkjv-content-marketing-intern-tandem-sf",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$35 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Office sharing startup Tandem raises $6.1 million",
        "url": "https://www.axios.com/pro/fintech-deals/2025/02/03/office-sharing-startup-tandem-6-million",
        "date": "Feb 03, 2025"
      }
    ],
    "launches": [
      {
        "id": 108356,
        "title": "Tandem: Office broker on steroids",
        "tagline": "Tandem is an AI-native office leasing brokerage.",
        "body": "**Tl;dr:** Our agents have seen every office building in the city — they know exactly what’s available, what it’s going to cost you, and how to negotiate the best possible deal. You get human support backed by the best real estate AI anywhere. And it’s all done at no cost to you. Start your search at [tandemspace.com](http://tandemspace.com)\n\n## Why office leasing is broken\n\n**There are thousands of office spaces in a city and no single view of them.** **What exists instead is memory.** A few hundred people, each carrying their own map of the city, built by walking it.\n\nThose maps are good. Brokers who have been doing this for twenty years know their buildings cold, know the landlords, know what a deal should actually cost. **But it's one person's map of a market that changes every week, and there is no version of this job where one person keeps up with all of it.**\n\nSo the process runs on relays. You spend an hour explaining what you need. Your broker spends the week calling the brokers they know, who call the landlords they represent. Eight options come back. You like one. The calls start over. Nobody is doing anything wrong. It just takes days to move a question through a chain of people, and you are one of a dozen searches your broker is running at the same time.\n\nThe economics of this market were built for bigger deals. Commercial leasing grew up around full floors and ten year terms, and everything in it is sized for that. A 3,000 square foot suite on a two year term takes nearly the same work and returns a fraction of it, so smaller spaces get less attention across the board. It's why so many of them go unphotographed, unlisted, and unmentioned. That's most of the market by count.\n\nThe people in this industry are not the problem. This is just what a market looks like when it runs on memory:\n\n**You're seeing only what your broker chooses to show you, prioritized only as much as your deal size warrants, with no way to verify you're getting a fair shake.**\n\n## How Tandem works\n\nOn paper, Tandem is an office leasing brokerage like any other. Same license, same tenant rep fee, same person meeting you in the lobby. **The difference is what that person knows, and how quickly they can act on it.**\n\nEvery Tandem agent works with an agentic brain behind them\\*\\*. It's watching the market constantly: what came available this morning, what a similar unit actually leased for last month, which landlords are flexible on term, what's about to come back online.\\*\\* Knowing the market stops being one person's job, so it doesn't stop when they go home, and it isn't limited to the buildings they've personally walked.\n\nWhat that means for you:\n\n* **You see the whole market on day one**, not on the third callback. Your agent already knows what fits before you finish describing it.\n* **Answers in minutes**, over email, text, or phone, on anything from zoning to what the freight elevator situation is.\n* **You know what it should cost.** Your agent can see what comparable units actually went for, so you go into a negotiation knowing where the number should land.\n* **You don't have to talk to anyone if you don't want to.** The same market is browsable at [tandemspace.com](http://tandemspace.com). Compare asking rents, book a tour for tomorrow, bring your agent in whenever you want them.\n* **A 3,000 square foot requirement gets the same attention as a 30,000 one**, because your agent isn’t paid more for a bigger deal.\n\n**The result: clients who search with Tandem see 30%+ more spaces than in a traditional search, and finish about 6x faster. At no cost to you.**\n\n## Start your search with Tandem\n\nWe’re proud to have placed more than 500 companies into offices, including Cursor, Upwork, Apollo GraphQL. But, we’re even prouder that our average time from first tour to signed lease is 27 days, versus an industry average of \\~180.\n\nIf you’re in the market for an office now or anytime in the future, get started for free at [tandemspace.com](http://tandemspace.com), or email [team@tandem.space](mailto:team@tandem.space).",
        "url": "https://www.ycombinator.com/launches/SBg-tandem-office-broker-on-steroids",
        "votes": 1,
        "created_at": "2026-07-30T06:11:32.292Z"
      }
    ]
  },
  {
    "id": 29693,
    "name": "Gauge",
    "slug": "gauge",
    "former_names": [
      "Bridge"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a1b74adcd6bfd4193d3eb1b786fb19988505e78.png",
    "website": "https://withgauge.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Agents are leading the next wave of growth for companies like Supabase, Openrouter, Resend, PostHog, Braintrust, and more.\r\n\r\nUnlike chat experiences, Claude Code, Codex, and Cursor are now implementing products autonomously. They are doing so without ever talking to a sales rep or taking a demo.\r\n\r\nGauge runs real chats and coding sessions to help your product get recommended and implemented by AI.",
    "one_liner": "Gauge helps you get recommended and implemented by AI.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1717523721,
    "tags": [
      "SaaS",
      "B2B",
      "Analytics",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/gauge",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/gauge.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/withgauge",
    "x_url": "https://x.com/gauge_sh",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://linkedin.com/company/gauge-sh",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a1b74adcd6bfd4193d3eb1b786fb19988505e78.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 323364,
        "full_name": "Caelean Barnes",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Gauge - Agent Led Growth.\n\nWe hep you improve your brand's presence in AI, get recommended by agents, and written into every customer's codebase.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/caelean",
        "x_url": "https://twitter.com/the1024th",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/887275e34b071a0714fd41887538bb298448cc89.jpg"
      },
      {
        "user_id": 231566,
        "full_name": "Evan Doyle",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Gauge - Agent Led Growth\n\nGet mentioned in AI chats, get recommended by coding agents, and get written into every customer's codebase.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evan-doyle-060b0ab9",
        "x_url": "https://x.com/evandoyleDEV",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27ab02271f5990357ace7b257906cbf858f4a26c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 85973,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/gauge/jobs/qemTjv7-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $220K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "PostgreSQL",
          "Python",
          "React",
          "TypeScript",
          "Linux"
        ]
      },
      {
        "id": 92833,
        "title": "Founding Sales",
        "url": "https://www.ycombinator.com/companies/gauge/jobs/juhjUfl-founding-sales",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108321,
        "title": "Founding Customer Strategy",
        "url": "https://www.ycombinator.com/companies/gauge/jobs/ufnxGYP-founding-customer-strategy",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$80K - $150K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 100013,
        "title": "❓ Gauge Sentiment: See exactly how AI models talk about your brand",
        "tagline": "How is your brand perceived by AI?",
        "body": "Gauge now can tell you exactly how AI models talk about your brand.\n\n  - When put in a head-to-head against your competitors, who wins?\n  - In what ways are AI models bad-mouthing your brand? Talking up your competitors?\n\nGauge analyzes the results of these questions to tell you the exact positives and negatives surfaced.\n\nBeyond that, Gauge can actually trace the source of negativity back to its original destination - whether it be a\ncompetitor website, a social post, or something else.\n\nHere's a quick look at how that works:\n\n<https://www.youtube.com/watch?v=WRfAfOWeS7s>\n\nIf you're interested in learning how AI models talk about your brand, book a time here and we'll show you:\n<https://cal.com/demo/30>\n",
        "url": "https://www.ycombinator.com/launches/Q17-gauge-sentiment-see-exactly-how-ai-models-talk-about-your-brand",
        "votes": 6,
        "created_at": "2026-04-21T19:43:11.277Z"
      },
      {
        "id": 99472,
        "title": "🚀 Gauge gives you visibility into ads in ChatGPT.",
        "tagline": "🚀 Gauge is building the intelligence layer for ChatGPT Ads",
        "body": "Gauge gives you visibility into ads in ChatGPT.\n\nWant to know what ads your competitors are running in ChatGPT? With Gauge, you can now see exactly what ad copy is getting run against any prompt you choose.\n\nGauge is also a single point to manage your ChatGPT ad campaigns. Simply link your API key and get instant insights into your campaigns, ad groups, and performance.\n\nGauge also breaks down everything by spend, impressions, and clicks - calculating CTR and CPC on the fly.\n\nHere’s a quick overview of how it works:\n\n<https://www.youtube.com/watch?v=MTv4z9ShWPE>\n\nAre you running ads in ChatGPT, or interested in seeing how your competitors are? Grab a time with our team and we’ll show you: <https://cal.com/team/gauge/demo>",
        "url": "https://www.ycombinator.com/launches/PsO-gauge-gives-you-visibility-into-ads-in-chatgpt",
        "votes": 8,
        "created_at": "2026-04-06T16:33:16.207Z"
      },
      {
        "id": 98751,
        "title": "🚀 Gauge: Your marketing agent for organic, paid, and AI search",
        "tagline": "A single agent that can do the work of an entire marketing team",
        "body": "With user behavior spreading across traditional and AI search, it’s never been more important to ensure that your brand is the answer. There’s a wealth of data distributed across GA4, GSC, keywords, prompts, ads, and more. This data is incredibly rich, but fragmented and complicated to understand.\n\nGauge unifies all of these data sources into a single agent that can do the work of an entire marketing team. Here’s how it works:\n\n<https://www.youtube.com/watch?v=SxdKlv--Oeo>\n\nWe started by building a best-in-class GEO/AEO platform, with a core focus on getting the right data. We quickly found that data alone isn’t enough. Our users kept asking:\n\n1. How can I make sense of all of this prompt/answer data?\n2. How does it relate to my existing data?\n3. What are the actual things I need to do to move the needle?\n\nOur agent interprets all of your data sources and executes high-value work for you. Gauge can run keyword research, analyze the competition, and track prompts over time for you. Once Gauge has all the data it needs, it can build and execute plans of attack, recommending and drafting focused content. Gauge also lives where you already work, with MCP and Slack bot support.\n\nGauge is already a core part of the marketing stack at some of the best YC companies - Supabase, PostHog, Mux, and more.\n\nIf you’d like to give Gauge a go, you can [try it now for free](https://www.withgauge.com/features/ask-gauge)! We also have a YC discount for 50% off your first month: FRIENDSOFYC\n\nOur main ask is feedback - would love to see you push our agent and make it uncomfortable! What do you want a marketing agent to do for you that it can’t do today?\n\n![uploaded image](/media/?type=post&id=98751&key=user_uploads/323364/04c1c5f3-b97f-4ab7-b69e-e463ac8e7187)\n\n",
        "url": "https://www.ycombinator.com/launches/Pgl-gauge-your-marketing-agent-for-organic-paid-and-ai-search",
        "votes": 16,
        "created_at": "2026-03-12T18:10:29.538Z"
      },
      {
        "id": 90559,
        "title": "Gauge - Show up in more AI answers",
        "tagline": "💡 Gauge helps your company show up in more AI answers",
        "body": "**Gauge helps your company show up more in AI answers.**\n\n### ⚠️ Why should you care?\n\n* [Google searches are falling for the first time ever](https://www.wsj.com/tech/ai/ais-threat-to-google-just-got-real-8280b4ee?utm_source=chatgpt.com) ([and Google itself is moving to AI answers](https://www.theverge.com/news/655930/google-q1-2025-earnings))\n* [Gartner predicts AI chatbots will capture 25% of search volume by next year](https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents)\n\nWith traffic leaving search, traditional SEO is dying. Our customers are seeing inbound AI traffic **double every quarter**.\n\n### 💡How do we help?\n\nWe measure how often you and your competitors are referenced by AI, and derive insights from changes in the data over time.\n\nLet’s take a look at how this works:\n\nhttps://www.youtube.com/watch?v=HPXcshLuQD4\n\nWe came across this problem through an Open Source Day hosted by YC. There, we heard from a huge range of speakers, including Vercel, Elastic, Resend, and Airbyte. A consistent theme across every speaker was the new inbound they were seeing from ChatGPT.\n\nWe decided to run an experiment: [productrank.ai](http://productrank.ai).\n\n[productrank.ai](http://productrank.ai) lets you search for a topic, and see how the top models rank them. [Check it out here!](https://productrank.ai)\n\nIn just a few weeks, we reached the front page of HN, saw over 40,000 organic users, and found our first design partners.\n\nOur early customers include LendingTree, ChartHop, Resend, Helius, Standard Metrics, and more. If you’re curious in how often AI mentions your brand, [grab 15 minutes here and we’ll show you.](https://cal.com/caelean/15)\n\n### **❓Asks**\n\n* Play around with [**productrank.ai**](http://productrank.ai)!\n* Curious how often AI mentions your brand? [**Grab 15 min here!**](https://cal.com/caelean/15)\n* Know any marketers or SEO specialists? We’d love an intro! [**Send me their name here**](mailto:caelean@withgauge.com)!\n\n![uploaded image](/media/?type=post&id=90559&key=user_uploads/323364/0b94db77-ab63-4470-afb0-6b73c6074965)\n\n",
        "url": "https://www.ycombinator.com/launches/NYd-gauge-show-up-in-more-ai-answers",
        "votes": 28,
        "created_at": "2025-05-20T17:25:21.072Z"
      }
    ]
  },
  {
    "id": 29695,
    "name": "Dench.com",
    "slug": "dench-com",
    "former_names": [
      "Merse",
      "Merse Originals, Inc.",
      "Merse",
      "Dench.com",
      "Dench"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef306ea6f1d72c351b58047f5bd3c1644904cbd2.png",
    "website": "https://dench.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dench: AI CRM + Full-Service Deployment\r\n\r\nMost CRMs sell you software and hand you a 200-page setup guide. Dench is different. We're the only CRM that ships with an embedded team: we migrate your data, build your object schema, configure your integrations, train your people, and deploy AI agents that keep your pipeline clean without a Salesforce developer, a RevOps contractor, or a six-month implementation project.\r\n\r\nFrom day one, our team works inside your stack. We pull your existing data out of HubSpot, Salesforce, or whatever spreadsheet graveyard you're currently using, and rebuild it properly in Dench. Custom objects, custom fields, automation rules, integration config across Gmail, Slack, Notion, GitHub, LinkedIn, and 50+ other tools. Everything set up the way your business actually works, not the way a generic CRM template assumes it does.\r\n\r\nThen we train your team. Not a one-hour Zoom and a PDF. Real sessions that build CRM discipline: how to log activity consistently, how to keep data clean, how to use AI agents to do the repetitive work so your reps spend time selling instead of updating fields. Quarterly business reviews keep the system evolving as your pipeline grows.\r\n\r\nThe AI layer is what makes it permanent. Dench agents enrich leads automatically, move deals through stages based on real signals, draft outreach, log interactions, and flag hygiene issues before they compound. Your CRM stays accurate without someone babysitting it.\r\n\r\nNo implementation consultant invoice. No dedicated Salesforce admin headcount. No duct-taped automation stack. One engagement, everything included, starting at $1,500/month.",
    "one_liner": "Workspace for your AI Agents, Build any Workflow.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1720334032,
    "tags": [
      "Workflow Automation",
      "Open Source",
      "CRM",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/dench-com",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/dench-com.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/denchcom",
    "x_url": "https://twitter.com/dench_com",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/orgs/DenchHQ",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef306ea6f1d72c351b58047f5bd3c1644904cbd2.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/01b12d21db95d8785bb5a9439641c04bf7b04e6b.png"
    ],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 990824,
        "full_name": "Mark Rachapoom",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Dench (dench.com); Founded Merse; Vercel AI Accelerator; Previously developed a top-ranking iOS app, reaching #3 on the App Store.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/markrachapoom/",
        "x_url": "https://www.twitter.com/markrachapoom",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8339589ffeff0106c972f2c1f6007982bf97032a.jpg"
      },
      {
        "user_id": 455465,
        "full_name": "Kumar Abhirup",
        "title": "Founder/CTO",
        "founder_bio": "Founder of Dench.com, formerly Merse. Worked alongside Naval Ravikant as engineer at Airchat. Sold my first company Beam (Substack for Texting) at the age of 16.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kumareth",
        "x_url": "https://twitter.com/kumareth",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f2425f44553622613beb7926bf732200feb36c8.jpg"
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    ],
    "jobs": [
      {
        "id": 78260,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/dench-com/jobs/8WGRwRI-founding-engineer",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US; New York, NY, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84562,
        "title": "Chief Growth Strat",
        "url": "https://www.ycombinator.com/companies/dench-com/jobs/cVcSPlW-chief-growth-strat",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$60K - $80K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Empathy Meets Efficiency: AI Voice In Law, Healthcare And Collections",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/05/29/empathy-meets-efficiency-voice-ai-in-law-healthcare-and-debt-collection/",
        "date": "May 29, 2025"
      },
      {
        "title": "Business Insider - 13 Creator and Influencer Startups to Watch in 2024, According to VCs",
        "url": "https://www.businessinsider.com/promising-creator-economy-influencer-marketing-startups-per-top-vcs-2024-10",
        "date": "Oct 24, 2024"
      },
      {
        "title": "The Journal by Fondo | Merse launches: Netflix for Audio-Visual Comics",
        "url": "https://www.tryfondo.com/blog/merse-launches",
        "date": "Jul 16, 2024"
      }
    ],
    "launches": [
      {
        "id": 87857,
        "title": "Dench.com — AI Intake for Law Firms",
        "tagline": "AI Secretary to pre-qualify leads for Law Firms",
        "body": "![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/eaa1bd7b-f4ac-41db-b30f-10e8ac46f443)\n\n[Dench.com](http://dench.com/) is transforming legal lead qualification with AI voice agents. We’re doing to law firm intake what AI receptionists are doing to customer service—offering real-time lead qualification, 24/7 availability, and seamless CRM integration at a fraction of the cost.\n\nWe help law firms increase revenue by automating intake and monetizing unqualified leads through a compliant referral network.\n\nSince most people here aren’t our target customers, **we’d appreciate introductions to lawyers, legal intake teams, or law firm operators.**\n\nThe fully-managed system that intakes, follows-up with, manages, and updates clients. No human intervention required.\n\n---\n\n## **The Problem**\n\nLaw firms are overpaying for basic answering services that do little more than take messages.\n\n* **Missed after-hours calls:** Most law firms only accept intake during business hours, losing many clients that call after-hours.\n* **Limited Intake Staff:** Not every incoming potential client is vetted and then duly followed up with, because intake staff is already exhausted with a lot of work, and can cost $42K a year per intake specialist.\n* **High costs:** Services like Answering Legal charge $3.91/minute, and Ruby charges $235/month for just 50 minutes, they employ a human sweatshop somewhere in Georgia and sometimes in India which potential clients do not prefer.\n* **Wasted leads:** Many law firms turn away the majority of inbound leads without monetizing them through referrals.\n\n---\n\n## **Our Solution – AI Call Intake with our Lead Referral Network**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5e7010ea-bb2a-4c8d-a7d0-8a825fbffac3)\n\nDench replaces expensive human receptionists with AI voice agents that:\n\n* **Qualify leads in real-time:** Our NLP-driven AI assesses lead quality during calls, not after.\n* **Offer 24/7 availability:** No missed calls, no lost leads.\n* **Integrate seamlessly with CRMs:** Auto-syncs data to platforms like Clio Grow, eliminating manual entry.\n* **Monetize unqualified leads:** Converts rejected cases into paid referrals through a compliant network. We transfer the call to another AI representing another law firm that handles that kind of cases, and micro-transact the lead live, helping law firm earn for the referred lead.\n* **Schedule Consultations Automagically:** Intake staff would not have to call them back for anything as our AI handles all the followups, payments and everything right up to the end of the pipeline.\n\n---\n\n## **Key Features**\n\n* **Affordable pricing:** $0.99/minute, undercutting traditional services while offering superior automation.\n* **AI lead routing:** Instantly matches callers with the right attorney based on practice area.\n* **Regulatory compliance:** Built to comply with state-specific referral rules, ensuring ethical fee-sharing.\n* **Detailed analytics:** Track call performance, lead quality, and conversion rates.\n* **Automated Scheduling:** Intake specialist would never have to call again later, the AI handles all the followups until the consultation is scheduled.\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/e9ee6fdc-c09b-42d9-833f-aaa086c85686)\n\n---\n\n## **Market Opportunity**\n\n* 450,000+ law firms in the U.S.\n* 150,000+ mid-sized firms (5–20 attorneys) — our core target.\n* Average mid-sized firm handles 80–100 calls/month.\n* Law firms in the US spend upwards of $4.5B for managing intake, and $22B in marketing and lead-generation expenses.\n\n**Revenue potential**\n\n* **Bottom-up Revenue Projection:**\n\n  150,000 × $0.99 (per call minute) × 4 (avg duration) × 100 calls x 12 months = **$712.8M ARR**\n* **1% market penetration:** $8.5M ARR\n* **5% market penetration:** $42.6M ARR\n* **10% market penetration:** $85.2M ARR, plus $12M+ from referral fees\n\n---\n\n## **Live Demo**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5a4800b4-072e-4923-8599-65c83c9bf055)\n\n---\n\n## **Founding Team**\n\n* **Mark Rachapoom:** Co-Founder & CEO of [Dench.com](http://dench.com/). Founded Merse. Vercel AI Accelerator. Developed an app that reached #3 on the App Store.\n* **Kumar Abhirup:** Co-Founder & CTO of [Dench.com](http://dench.com/), Worked alongside Naval Ravikant at Airchat, sold [itsbeam.com](http://itsbeam.com/) at age 16.\n\n---\n\n## **Our Ask**\n\n* **Introductions:** Know any lawyers, legal intake teams, or firm operators? We’d love to meet them. Please introduce them to us. Here’s a blurb you can send them easily:\\\n  “[Dench.com](http://dench.com/) is an AI Intake Specialist Platform that take calls from prospective clients, talks to them (sounds totally human, it laughs, does uhms and aahs), vets them, conflict checks, does follow-ups and books an appointment, or it forwards the call to a human after client pre-qualification.\n\n  They can work after-hours 24x7, they also integrate with Clio/Lawmatics.\n\n  They convert rejected cases into paid referrals through their referral network, to land you huge profits over “wasted” leads.\n\n  For a simple demo, try calling (415) 997-2939 as someone with any legal dispute, property or other variety of issues you can possibly imagine.”\n* **Beta testers:** We’re offering free trials to law firms interested in AI-powered intake.\n\n📧 **Email:** [founders@dench.com](mailto:hey@dench.com)\n\nJoin us in transforming legal lead qualification and full-stack lead generation and management.",
        "url": "https://www.ycombinator.com/launches/Mr3-dench-com-ai-intake-for-law-firms",
        "votes": 50,
        "created_at": "2025-02-20T16:40:07.404Z"
      },
      {
        "id": 82025,
        "title": "Merse: The Netflix for audio-visual comics",
        "tagline": "Comic reader and AI creator with audio effects",
        "body": "![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdBaxrK7CcR3gzn-A00Ocq7nz7Gv5H3RculiBueZTO77gTL_Gw-Fmr-__xZItu9CxLHXoBQltCt2V2jf7XJqBJpx4leYKA8XptCBo0QS-llFeavgHdDdTQkWQ5Zg5HCOdG7Un6hnFNLBv1Zqn-bHc5I93gz?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n# **⏰ TLDR;**\n\n**WE are the Netflix for Audio-Visual Comics,** with a wide range of premium entertaining content for comic readers.\n\n**YOU** can **HEAR THE CHARACTERS SPEAK** in 6 languages, with immersive soundtracks and crispy audio effects.\n\n**ARTISTS** can **EARN A LIVING** by creating, uploading, publishing, and monetizing comics. With a wide range of characters, voices and soundtracks to choose from. Artists can also generate audio effects and soundtracks at will using Merse AI. Our AI tooling handles text and voice translation of speech bubbles.\n\n**GET THE APP** @ [merse.co](http://merse.co/)\n\n---\n\n---\n\n---\n\n# **⚠️ The Problem**\n\n**Creating comics is a labor-intensive process** that requires significant time and effort.\n\nDespite the popularity of comics, producing them often **takes hours of meticulous work** using tools like Adobe Illustrator, or requires plain drawings. This limits the number of creators who can participate and the volume of content available to readers.\n\nThe comic reading experience has been the same for decades. On the other hand, **readers are looking for new and more immersive experiences.** While static images are the norm, there is a growing demand for interactive content that brings characters and stories to life with character voices and sounds.\n\n---\n\n---\n\n---\n\n# **🫶 Our Solution — Audio-Visual Comics**\n\n[**https://www.youtube.com/watch?v=uidjDsilxms**](https://www.youtube.com/watch?v=uidjDsilxms)\n\nThe Merse platform enables creators to generate high-quality, audio comics quickly and easily, and offers readers an immersive experience. You focus on crafting engaging stories; Merse handles all your tech, distribution, and monetization.\n\n---\n\n# **📸 Features**\n\n**• Generate comics using AI:** Our GenAI features create detailed comic panels from your scripts, creates compelling voices in multiple languages for each speech bubble, with AI generated sound effects, significantly reducing the time from concept to publication.\n\n**• Audio Effects + Soundtracks:** Be it the sound of gulping water, or cracking knuckles, it has it all.\n\n**• Read and Hear in 6 different languages:** 🇮🇳Hindi 🇫🇷French 🇨🇳Chinese\\\n🇯🇵Japanese 🇰🇷Korean 🇺🇸English\n\n**• Monetization options:** Choose how to monetize your content – keep it free, or charge users per episode.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXd_bJUbA6bx3M3KxAr3qIM5R3W0A7geU2auFE-r1w35sW10EbGwzQrQVX6CtUZbevZVH5spBJFvLvVO91nOrE2QIGe4hoNybDPpr4Ffx36nKv75GLxCm7-chh9TkehdTSUf2JISQdu0etlbY0d74iDjFJvs?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n---\n\n# **🏪 The Market**\n\nThe biggest incumbent in this industry is Naver Webtoons. It’s the YouTube for static, hand-drawn comics. Over 120,000 artists draw and upload their episodes and get paid over $27M for their work, clocking in a revenue of over $1.4B a year and 170M monthly active readers.\n\n---\n\n# **🇺🇸 The Founders**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdJDl22TQVliZe38bVqEVmAzhxeTY-H4BiFyI2Z0o2XixgFedjKv1y7nrELdGwiRR3WUXy9q65n4eww-gwuGo_wOeOzTKpQbeLvm0H-hxUTG_QbqdzHgabiC8A3QvAVICKuCI_TRsr51SGmnyPHFfajxKno?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n[**Mark Rachapoom**](https://x.com/markrachapoom)\n\n**CEO of Merse,** 21-year-old founder, an engineer at heart with a great sense of design, college dropout, and fellow at Vercel AI Accelerator. He created Diary Dingo, an iOS journaling app that hit the top 3 in the App Store's Lifestyle category within 24 hours of launch.\n\n[**Kumar Abhirup**](https://twitter.com/kumareth)\n\n**CTO of Merse,** 20-year-old founder, dropped out of high school in Nashik, India, and worked alongside Naval Ravikant as an **Engineer at Airchat**, **1x Exited founder** @ [itsbeam.com](http://itsbeam.com)\n\n---\n\n---\n\n# **🙏 Our Ask**\n\n• **Connect us to creators and readers:** We’re looking to connect with comic artists, writers, and enthusiasts interested in innovative storytelling methods. Please reach us at [hey@merse.co](mailto:hey@merse.co), and we’ll follow up.\n\n• **Create on Merse:** Are you a passionate comic creator looking to transform your storytelling process? Start creating on our platform and own your storytelling journey! Share the comics you love on the Merse feed and on your socials, and help us gauge what content works best.\n\n• **We are looking to seed content:** CONTENT IS KING! It’s important we have a good catalog of content before future launches. If you want to help us with filling Merse up with exciting content, and have ideas, or want to work with us, contact [hey@merse.co](mailto:hey@merse.co)\n\n• **If you have experience going viral on TikTok / Reddit or are a good growth hacker and would love to help us**, contact us.\n\nJoin us in helping artists story-tell with Merse.\n\n![uploaded image](/media/?type=post&id=82025&key=user_uploads/455465/d512f5b4-fb4e-402c-8d0e-c7e82e3e6ed6)\n\n",
        "url": "https://www.ycombinator.com/launches/LKz-merse-the-netflix-for-audio-visual-comics",
        "votes": 27,
        "created_at": "2024-07-10T14:18:03.616Z"
      }
    ]
  },
  {
    "id": 29697,
    "name": "Stormy",
    "slug": "stormy",
    "former_names": [
      "1nterface.ai",
      "stormy.ai",
      "Stormy AI – Autonomous marketing agent",
      "Stormy AI – Vibe marketing agent",
      "Stormy AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c443169b74492fcaea01517438d00bb486fea6b7.png",
    "website": "https://stormy.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Stormy runs the office so your crew can run the work. Every call answered, day or night. Every quote followed up until it is a yes or a no. Jobs booked, crews scheduled, parts tracked, invoices sent and collected. Marketing that brings the work in, and an AI agent for every person on your team — all working from the same job record. Built for the shops that keep physical things running: forklift and heavy equipment service, HVAC, electrical, plumbing, roofing, logistics and yards.",
    "one_liner": " Stormy runs the office so your crew can run the work.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1723238839,
    "tags": [
      "SaaS",
      "B2B",
      "Customer Service",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/stormy",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/stormy.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/105507409",
    "x_url": "https://www.x.com/stormy_hq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c443169b74492fcaea01517438d00bb486fea6b7.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 628477,
        "full_name": "Robert Lukoszko",
        "title": "Founder",
        "founder_bio": "Prev:\n- Previously cofounded Fixkey.ai (acquired six figures, product of the day)\n- engineered large-scale data systems at ngrow.ai (YC W22)\n- build backend and trained AI models in Loóna (App of the year on iOS); \n- In AI & Data since 15 y.o (2017)",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/karmedge",
        "x_url": "https://twitter.com/karmedge/",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c1cfdd18d36ee2029f3de42da3d20133dc2b8601.jpg"
      },
      {
        "user_id": 1757780,
        "full_name": "Alex Pokras",
        "title": "Founder",
        "founder_bio": "YC S24",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/pokras",
        "x_url": "https://twitter.com/alex_pokras",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d65032a320594c8e7efd6ac2e733d0cb836ccc6.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 93301,
        "title": "Stormy — AI Agent for Influencer Marketing",
        "tagline": "Describe your campaign once and have the AI agent work for you while you sleep.",
        "body": "Hey 👋 I’m Robert, founder of Stormy.\n\nWe’re building Stormy because influencer marketing is still spreadsheets, manual DMs, and endless negotiations with influencers. In a world of “AI SDRs,” you should be able to describe your campaign once and have the AI agent just work for you while you sleep. Growing your business while you focus on the tech.\n\nWe recently won **Product Hunt Product of the Day**, and YC founders + agencies are already using Stormy to run micro- and nano-influencer campaigns end-to-end.\n\nhttps://www.youtube.com/watch?v=jK_8i8Wd0iQ&t=1s\n\n### How does it work?\n\nType a brief; Stormy handles the pipeline:\n\n1. **Describe your ideal creators**\\\n   “US-based AI YouTubers talking about agents, 10–100k subs” → Stormy searches YouTube & TikTok, podcasts, etc., and verifies each match.\n2. **One-click contacts**\\\n   Grab real emails in bulk (bio, site, press pages) and enrich profiles.\n3. **AI Negotiator**\\\n   Connect your Gmail and TikTok account to personalize outreach, automatic follow-ups, price extraction, and counter-offers within your budget guardrails—logged to a lightweight CRM.\n4. **Close & track**\\\n   Mark deals, export assets, and keep everything in one place (performance tracking integrations coming).\n\n### Who’s it for?\n\n* **Founders/In-house Growth** at AI & consumer apps who want predictable creator acquisition\n* **Agencies** running lots of small collabs (micro/nano) and are sick of manual workflows\n* **Creators/brands** who need a simple way to scale outreach without scaling headcount\n\n### Why now?\n\nCreator supply is exploding; attention is fragmented. Winning brands are those that can operationalize many small deals, fast. Stormy turns the “thousand tiny tasks” of influencer ops into a clean, automated flow.\n\n### What’s next?\n\n* **Promote UGC with TikTok Ads** — Spark/allowlisting in one click with budget guardrails and auto-variants.\n* **Payments & Tracking** — creator payouts, contracts/usage windows, and performance attribution (UTM, Appsflyer, PostHog) per asset.\n* **Unified Influencer → Performance CRM** — one pipeline from discovery & negotiation to ROAS/LTV.\n* **Always-on Outreach (“Auto-campaigns”)** — human-in-the-loop sequences to keep the funnel full.\n* **Light UGC Workflows** — simple briefs and clip collection (no heavy studio), with templates and QA for consistency.\n\nQuestions—or interested in learning more? Email [**robert@stormy.ai**](mailto:robert@stormy.ai)",
        "url": "https://www.ycombinator.com/launches/OGr-stormy-ai-agent-for-influencer-marketing",
        "votes": 19,
        "created_at": "2025-08-25T14:47:48.950Z"
      }
    ]
  },
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    "id": 29699,
    "name": "Pulse",
    "slug": "pulse-3",
    "former_names": [
      "Pulse",
      "Pulse AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/04b962a4bd6f50a02f91de8a67e62a48a1f09373.png",
    "website": "https://www.runpulse.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pulse converts complex information into LLM-ready inputs. Our API supports all document formats, from PDFs to Word, Excel, etc. Pulse integrates seamlessly with any existing data pipeline in minutes without any training or complexity. ",
    "one_liner": "Production-grade unstructured document extraction",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1720821338,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/pulse-3",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/pulse-3.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pulse-ai-corp",
    "x_url": "https://x.com/pulse__AI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/pulse-ai-ea00",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/04b962a4bd6f50a02f91de8a67e62a48a1f09373.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 954117,
        "full_name": "Sid Manchkanti",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder/CEO of Pulse (S24). Prev NVIDIA, D.E. Shaw, Berkeley CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidmanchkanti/",
        "x_url": "https://x.com/sid_mnk",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d3fe9504bc17a4a69e077a5bab6fba104627e51.jpg"
      },
      {
        "user_id": 1979575,
        "full_name": "Ritvik Pandey",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder/CTO of Pulse (S24). Prev Tesla ML, Goldman Sachs, Georgia Tech CS/Math",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ritvikpandey22/",
        "x_url": "https://twitter.com/ritvikpandey21",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/051da6c6c5ac21c8cfa1b9f5afcac5d405d513d5.jpg"
      }
    ],
    "jobs": [
      {
        "id": 79495,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/v5CgKQG-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79496,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/DGmw1Gt-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79497,
        "title": "DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/WJU0MZY-devops-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $210K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79498,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/onL2M1m-machine-learning-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79499,
        "title": "Software Engineer, Inference",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/9UxFE8b-software-engineer-inference",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $230K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79500,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/SG2w3qy-design-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79502,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/Ohcm7TJ-account-executive",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 86138,
        "title": "Business Development Representative (BDR)",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/oOkCIeg-business-development-representative-bdr",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "0.10% - 0.40%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109047,
        "title": "Growth and Marketing",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/nPfmn5m-growth-and-marketing",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "AI Startup Pulse Raises $3 Million From Nat Friedman and Daniel Gross - Business Insider",
        "url": "https://www.businessinsider.com/unstructured-data-extraction-startup-pulse-funding-nat-friedman-daniel-gross-2025-2",
        "date": "Feb 19, 2025"
      },
      {
        "title": "Pulse AI Blog - Announcing our $3.9M Seed Round",
        "url": "https://www.runpulse.com/blog/pulse-seed-nfdg-venture",
        "date": "Feb 19, 2025"
      }
    ],
    "launches": [
      {
        "id": 84833,
        "title": "Pulse STUDIO Vision API: Production-Grade Unstructured Document Extraction",
        "tagline": "An API + playground for production-grade unstructured document extraction, turning complex information into LLM-ready inputs. No training required.",
        "body": "Hey everyone, we’re Sid and Ritvik — the founders of [Pulse AI.](https://www.trypulse.ai/)\n\nWe first developed this API for a very specific use case in supply chain and got it to work across various unstructured documents used in the field. We were simply unable to find another solution on the market that worked well. Our original plan was to keep it in-house, but we soon started getting requests from dozens of companies to use this API on their own. \n\n# **❌ The Problem**\n\n**Most enterprise data is unstructured, making it difficult to parse with LLMs**\n\nApproximately 75% of enterprise data is unstructured, the majority of this is directly within PDF files. This makes it extremely difficult to build RAG applications with this data, and ingestion is often the bottleneck.\n\n**Current solutions are slow, inaccurate, and expensive**\n\nWe personally tested nearly every other tool on the market and found they lack accurate contextual understanding, multi-column PDFs, and multimodal documents. Most of the current technologies are simply wrappers on Textract or Gemini — which have their own inherent flaws. \n\n# **✅ The Solution**\n\n**Pulse STUDIO Vision API, a SOTA document/spreadsheet vision model** \n\nWe’ve trained our own set of Vision Language Models (VLMs) and OCR techniques to bridge this gap. We achieved what we think to be a state-of-the-art (SOTA) vision model for documents and spreadsheets. You’ll get bounding boxes across your documents and spreadsheets, alongside incredible OCR on tables and graphs. \n\nWe’re also actively working on a novel reasoning tool on spreadsheets using this technology – stay tuned!\n\n![uploaded image](/media/?type=post&id=84833&key=user_uploads/954117/61283c46-e471-4053-b80f-30fa7025981e)\n\n# **🧩 Team**\n\nThe founding team has deep machine learning experience at Tesla, NVIDIA, D. E. Shaw, and AWS — as well as research experience at world-class AI labs at Berkeley and Georgia Tech.\n\n# **🙋Our Ask**\n\nOur API is deployed in companies across hardware, healthcare, manufacturing industries and more. We’re expanding rapidly! [Fill out this form for access](https://studio.trypulse.ai/signup) and we will reach out within 24 hours with playground access. More info on the product page [here](https://studio.trypulse.ai/). \\\nPlease share this post, as you never know who it may help! Feel free to contact us directly at [sid@trypulse.ai](mailto:sid@trypulse.ai) if you would like to try it out and follow us on [Linkedin](https://www.linkedin.com/company/pulse-ai-corp/).",
        "url": "https://www.ycombinator.com/launches/M4H-pulse-studio-vision-api-production-grade-unstructured-document-extraction",
        "votes": 134,
        "created_at": "2024-10-17T22:05:15.980Z"
      }
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  },
  {
    "id": 29702,
    "name": "LedgerUp",
    "slug": "ledgerup",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7300af84eef84e88a5fc2a972bbf576cb517a4cb.png",
    "website": "https://ledgerup.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "LedgerUp is your AI billing teammate for B2B SaaS, transforming contract-based billing from a chore into a frictionless, revenue-accelerating process. We parse contracts, issue invoices, and collect payments in real-time, all while surfacing actionable analytics, allowing your finance team to escape spreadsheet chaos and focus on strategic growth. Just close deals and let us handle your billing for you.",
    "one_liner": "AI agents that handles complex billing and revenue",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1722618064,
    "tags": [
      "Finance",
      "Billing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We started with a bootstrapped bookkeeping company, but quickly realized all our customers were struggling with the same thing: AR and revenue tracking problems. They were drowning in manual invoice chasing, payment reconciliation, and complex revenue recognition.\r\n\r\nThe opportunity was way bigger than bookkeeping. B2B companies needed their entire quote-to-cash process automated - usage-based billing, collections, ARR calculations, all of it. So we refocused to build LedgerUp as an AI agent that handles the full AR workflow. "
      }
    ],
    "url": "https://www.ycombinator.com/companies/ledgerup",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ledgerup.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ledgerup-ai",
    "x_url": "https://x.com/tryLedgerUp",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/ledgerup",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7300af84eef84e88a5fc2a972bbf576cb517a4cb.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 703605,
        "full_name": "Bailey Spell",
        "title": "Founder/CEO",
        "founder_bio": "Previously, I worked at Microsoft, where I was one of two selected by the Office CTO to integrate agents into Office while then becoming the first engineering hire at a seed-stage workflow automation startup. There, I helped the company grow from $0 to $120k in ARR. Now, I am helping lead a new era of finance and accounting for businesses starting with bookkeeping.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bailey-spell-b487ab149",
        "x_url": "https://twitter.com/baileygspell",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cc59b0948053feb3bca4927503b3df1588416f3.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "13 companies from YC Demo Day 1 that are worth paying attention to | TechCrunch",
        "url": "https://techcrunch.com/2024/09/25/13-companies-from-yc-demo-day-1-that-are-worth-paying-attention-to/",
        "date": "Sep 25, 2024"
      }
    ],
    "launches": [
      {
        "id": 86964,
        "title": "LedgerUp: Handle all Billing from Slack",
        "tagline": "Meet Ari, your AI teammate that handles all billing and revenue from Slack",
        "body": "### **TLDR;**\n\nLedgerUp built an AI revenue teammate—[Ari](https://ledgerup.ai/)—to eliminate the multiple tools to juggle to get from “contract signed” to “cash in the bank.” [Ari](https://ledgerup.ai/) integrates with your CRM, automates invoicing, chases payments, and lives in Slack with real-time revenue data. The result? No more manual data entry, overdue payments, scattered data, and hiring FTEs to spend countless hours wasted in back-and-forth amongst different departments.\n\n_Below is an example of CRM → invoice process:_\n\n![uploaded image](/media/?type=post&id=86964&key=user_uploads/671520/29023983-80d3-4031-9e09-86f2d56ff162)\n\n### **Why does this matter?**\n\n3 out of 4 businesses face payment delays, with the root cause beginning at the invoice creation stage.\n\n**The Pain**: Most companies juggle contract softwares (ex: DocuSign/PDFs), spreadsheets, and a manual billing process riddled with errors, overdue payments, and hours spent data-entering.\n\n**Why It Matters**: These inefficiencies lead to missed revenue, cash flow constraints, and wasted staff time. Founders often feel they need extra full-time staff just to manage invoicing.\n\n### **How does Ari solve this?**\n\nSignature to Revenue, _Automatically_\n\nAri takes over the moment a contract is signed:\n\n1. Zero-Touch Contract Import: Signature lands → Contract processes → Revenue flows. All automatic, all instant. \n2. Intelligent Revenue Automation: Every signed agreement is automatically billed to its unique billing requirements\n3. Real-Time Slack Updates: Approve the final output in Slack and ask questions as needed\n\nWhile others offer yet another tool to learn, **your AI teammate takes over the moment a contract is signed.**\n\n### **Our ask**\n\nFrom startups to enterprises, every business faces contract-to-cash challenges. If you know revenue leaders who'd benefit from an AI billing teammate, we'd be grateful for an introduction!\n\nWho we serve well:\n\n* **Finance & Ops Teams:** automating billing operations while maintaining GAAP compliance\n* **Founders & Revenue Leaders:** who need clear revenue visibility without the operational overhead\n* **CFOs & Controllers:** seeking accurate, real-time revenue data and forecasting 💰\n* **Sales & Customer Success:** teams who want to focus on relationships, not invoice follow-ups\n* Email us at [founders@ledgerup.ai](mailto:founders@ledgerup.ai)\n\nBetter yet if you have a business that has contracts, **try Ari**: [Sign Up Here](https://www.ledgerup.ai/demo) or **Schedule a Call** with us: [Book a Short Call](https://cal.com/joe-ledgerup/15min).\n\n### **Team/Origin Story**\n\nDuring his years as a finance director for startups, [Joseph](https://www.linkedin.com/in/joseph-johnson-/) lived the revenue operations nightmare firsthand. His days were consumed with juggling dozens of different apps – one for contracts, another for invoicing, yet another for payment tracking, and endless spreadsheets to tie it all together. \n\nThe \"_solution_\" was always to hire more FTEs to manage the chaos, but that just shifted the burden of wrestling with broken processes to someone else.\n\nTeaming up with his childhood friend [Bailey](https://www.linkedin.com/in/bailey-spell-b487ab149/), who had been building AI Agents for the past 2 years, they recognized this wasn't just their problem – it's a universal pain for any company with contracts that need to get paid. \n\nThey're on a mission to liberate founders and finance teams from revenue operations chaos, giving them back the time and clarity needed to focus on what matters most: growing their business.\n\n![uploaded image](/media/?type=post&id=86964&key=user_uploads/671520/fb4f1b72-713e-444d-a5b5-eb170a3a18db)\n\n",
        "url": "https://www.ycombinator.com/launches/Mce-ledgerup-handle-all-billing-from-slack",
        "votes": 11,
        "created_at": "2025-01-20T06:36:33.585Z"
      },
      {
        "id": 82825,
        "title": "LedgerUp - Your AI teammate that handles all billing and revenue from Slack",
        "tagline": "Your AI billing teammate in Slack",
        "body": "Hey everyone! We’re Joe and Bailey from LedgerUp. We leverage AI to handle back-office finance and accounting tasks so you can get back to running your startup.\\\n\\\n**Tl;dr**\n\nUse [LedgerUp](https://ledgerup.ai/) to take care of back-office finance and accounting tasks. From daily bookkeeping to investor-ready reporting, we handle everything in between, and with integrations directly into your email/Slack inbox you are only a click away from automating a task or gathering insights on your financials.\n\n❌ **The Problem**\n\nAs a startup founder, you need to focus on PMF and scaling your business. You shouldn’t have to worry about your finances. Right now, you might be:\n\n* Wondering about your burn rate or spending\n* Struggling to keep up with bills and invoices\n* Spending too much time on bookkeeping (_or overpaying_)\n* Dealing with mistakes in your financials\n* Unsure if your books are correct\n* Sprinting to get financials ready for investors\n* Using ChatGPT/Perplexity for one of the above tasks but frustrated that the output has to be manually entered into your accounting software\n\n✨ **Our Solution**\n\nSimply connect LedgerUp to your current tools (QuickBooks, Stripe, Bank Account, etc.), and we handle the rest. Our AI Bookkeeping and Finance Assistant can help you…\n\n🚀 Keep track of your burn rate and spending daily\n\n💼 Create & send invoices and subscriptions from contracts\n\n💰 Have customers pay you on time\n\n🧾 Enter and pay bills easily\n\n📊 Have financials always ready for investors\n\n📅 Be ready for tax season without stress\n\n⏳ Save time by automating bookkeeping tasks\n\n🔍 Ensure your financials are accurate and detailed\n\n![uploaded image](/media/?type=post&id=82825&key=user_uploads/671520/618dfc1a-99d3-4384-b12e-b494e5d319b9)\n\n🙌 **Our Asks**\n\nTry [LedgerUp](https://ledgerup.ai/)↗️! We will make your bookkeeping and finance easy and worry-free.\\\n\\\n**The Deal:** $100 off + free bill and invoice management included (_for first 3 months_)\n\nFollow us on [Twitter](https://x.com/tryLedgerUp) or [LinkedIn](https://www.linkedin.com/company/ledgerup-ai/). Our inboxes are always open.\n\nShare this with any startup founders or small businesses who need better bookkeeping and finance solutions.\n\nIf you have 10 minutes to chat about LedgerUp, please [book a time](https://cal.com/joe-ledgerup/10-minute-meeting) with us😊\n\n![uploaded image](/media/?type=post&id=82825&key=user_uploads/671520/962ba37e-91d9-4efe-b822-0983334093dd)\n\n",
        "url": "https://www.ycombinator.com/launches/LXt-ledgerup-your-ai-teammate-that-handles-all-billing-and-revenue-from-slack",
        "votes": 54,
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      {
        "id": 83088,
        "title": "Modus: Headcount management to save costs as you scale",
        "tagline": "We help companies hire and retain only the people they need without the unnecessary bloat.",
        "body": "[Modus](https://www.himodus.com) is headcount management that helps companies never over-hire as they scale. Modus brings Finance, HR, and Hiring Managers to detect, inspect, and correct their workforce plan in one unified workflow.\n\nToday, much time is wasted reconciling headcount across departments and exporting across disparate systems. Incomplete and outdated data adds to the pain. Companies overhire, then fire. Cycle perpetuates. Bloat and inefficiencies persist.\n\n[Lin](https://www.linkedin.com/in/linling1/) experienced these pains directly as VP of BizOps at HashiCorp, scaling from 100 to 2500 through IPO. Modus was founded on the belief that companies should have the fewest employees possible.\n\n# \n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/a1595755-bf0e-4166-a296-2badb2dcff54)\n\n# 🤯 **The Problem: Headcount planning and reporting remains manual and painful**\n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/0dd981e5-f59d-40ec-8ee8-53782bb12622)\n\nOverhiring in tech has led to over 200,000 layoffs, costing companies billions. Workforce costs account for 70-80% of a company’s expenses, yet companies still make workforce decisions in error-prone, manual spreadsheets with incomplete data. Re-orgs, department changes add to the pain. Reconciliation is messy and time-consuming. Accuracy suffers. The cycle perpetuates. As Taylor Swift might say, _“I’ve seen this film before, and I didn’t like the ending.”_\n\n# 🪄 **Our Solution: AI-powered headcount management**\n\nModus integrates with your existing HRIS and ATS systems, using AI to help you detect anomalies, inspect, and correct your workforce plan.\n\nWith Modus:\n\n❌ Overhiring\\\n❌ Layoffs\\\n❌ Incomplete data \\\n❌ Useless meetings \\\n✅ Hire and retain only the people you need\\\n**✅** Increase visibility\\\n**✅** Collaborate off a single source of truth\\\n**✅** Save costs as you scale\n\nThe more Modus learns, the more it streamlines and automates your headcount management processes at scale.\n\n# 🙋🏻‍♀️**The Ask**\n\n**Share this post!**\n\nKnow anyone in your network managing headcount, bogged down by spreadsheets? A VP in Finance, HR, or Operations? Please share this post (or the blurb below).\n\n* _Modus is headcount management to save costs as you scale. With the help of AI, our software analyzes extensive data across your organization, helping you remove the bloat and correct your workforce plan – all in one unified workflow. Founders are Lin (ex-HashiCorp), Amar (ex-Finfare), and Chris (ex-OpenGov, 2x founder) with combined experience scaling companies from 0 to 1, to $8B+, and through IPO. Contact _[_lin@himodus.com_](mailto:lin@himodus.com)_ for a demo and trial._\n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/63aaef2e-9c70-4e4e-a022-617e76385024)\n\n",
        "url": "https://www.ycombinator.com/launches/Lc8-modus-headcount-management-to-save-costs-as-you-scale",
        "votes": 60,
        "created_at": "2024-08-15T16:36:11.526Z"
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    "long_description": "Lighthouz is a backoffice AI solution for freight brokers, to automate AP, AR, and Collections. \r\n\r\nLeading freight brokers are using Lighthouz AI to automate FTL (full truckload) and LTL (less than truckload) freight bill auditing, automatically filing disputes, and invoicing customers. \r\n\r\nWith Lighthouz, 70%-85% emails do not need to be touched by humans. \r\n\r\nHence, brokers using Lighthouz are invoicing customers 36% faster, getting paid 5 days sooner, and reducing back office costs by 40%.\r\n\r\nLighthouz brings 25+ years of supply chain, logistics, and AI experience to brokers, with a AI Professor from Georgia Tech who taught 1000+ students, and team with PhD and MS in AI, Machine Learning, and Data Science. ",
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        "full_name": "Srijan Kumar",
        "title": "Founder/CEO",
        "founder_bio": "I'm an award-winning AI professor-turned-entrepreneur. Over the last 14 years, my AI systems have been used at Meta, Wikipedia, The Home Depot, and Flipkart. I have been a Georgia Tech professor and worked at Google, Stanford, CMU, and UMD, and IIT. I pioneered dynamic graph neural nets. I have written 60+ AI publications w 6000+ citations. Awards won: NSF CAREER, Forbes 30u30, Kavli Fellow.\n\nI'm building AI agents to do AP and AR in logistics, powered by dynamic knowledge graphs.",
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        "full_name": "Sonali Pattnaik",
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        "founder_bio": "Sonali is the COO and Co-founder of Lighthouz.\n\n",
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        "type": "Full-time",
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        "id": 113866,
        "title": "Lighthouz AI: AI to automate collections for freight brokers and 3PLs",
        "tagline": "Freight brokers and 3PLs collect what they're owed 5-8 days faster — without adding headcount to AR",
        "body": "Freight brokers and 3PLs run lean accounting teams that spend their days chasing money that's already earned. Every unpaid invoice means emailing a customer, checking a portal, following up again a week later, and manually deciding which accounts are actually at risk — work that scales linearly with headcount and doesn't get easier as a book of business grows. DSO creeps up not because customers refuse to pay, but because no one has time to chase every invoice consistently.\n\nLighthouz built Lucie, an AI collections agent purpose-built for freight finance. Lucie works customer accounts the way a best-in-class AR analyst would, just continuously and across every account at once:\n\n* Email Collections Agent — drafts and sends context-aware payment reminders and follow-ups, escalating tone as invoices age\n* Portal Collections Agent — logs into customer payment portals to check status and submit documentation, so nothing stalls waiting on a portal check\n* Collections Work Queue — surfaces the accounts that actually need a human, with full context, instead of a flat list of overdue invoices\n* AR Risk Dashboard — flags at-risk accounts early using payment-behavior signals, before they become write-offs\n\nEvery action Lucie takes is visible to the AR team, with clear ownership indicators showing what's automated and what's waiting on a person — collections teams stay in control of the relationship, they just stop doing the busywork.\n\nFounders:\n\nSrijan and Sonali are married co-founders who met at IIT during undergrad and bring 15+ years of combined AI and supply chain experience. Srijan was a CS professor at Georgia Tech, a former Google research scientist, and a Stanford postdoc with 60+ publications. Sonali spent a decade as an AI/data engineer in fintech and insurance, including at Halliburton, Progressive, and American Family.\n\nKey Metrics:\n\n* DSO reduction: 5-8 days faster to collect\n* 30%-50% reduction in overdues \n* 45% of collections touches now automated\n* One AR specialist manages 2x more accounts\n\nTraction:\n\nLighthouz already powers finance operations of 40+ freight brokers and 3PLs, including Hoplite Logistics, Southern Reins Logistics, ADL, and NAD Logistics. Lighthouz AI has won the TIA 2025 and 2026 Technovator Awards.",
        "url": "https://www.ycombinator.com/launches/TcY-lighthouz-ai-ai-to-automate-collections-for-freight-brokers-and-3pls",
        "votes": 3,
        "created_at": "2026-09-07T20:11:49.454Z"
      },
      {
        "id": 96349,
        "title": "Lighthouz AI: AI to automate AP and AR for freight brokers and 3PLs",
        "tagline": "3PLs invoice customers within 24 hours of delivery & get paid 5 days faster",
        "body": "https://www.youtube.com/watch?v=SNdu7kqN0MY\n\nFreight brokers and 3PLs still run AP and AR manually.\n\nAccounting teams spend days processing carrier bills, chasing missing PODs, delaying customer invoicing, and collections efforts. Cash flow stagnates. Before Lighthouz, teams typically take 3–5 days to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\n**At Lighthouz, we’ve built freight-native AI agents to automate AP and AR for brokers and 3PLs. With Lighthouz, brokers are invoicing customers within 24 hours of delivery and reduce days-to-get-paid by 5 days.** \n\n### **Who we are**\n\nWe’re **Srijan and Sonali**, the founders of **Lighthouz AI**. We’re part of YC S24. \n\nWe met a decade ago during undergrad at **IIT**, have been building together ever since, and have been married for 5+ years. Srijan and Sonali have 15+ years of combined experience in AI and supply chain, building AI systems for companies like Halliburton, The Home Depot, Google, and more. \n\n* **Srijan** an award-winning AI scientist with **60+ publications and 6,000+ citations**.  He’s been a **CS professor at Georgia Tech**, an **ex-research scientist at Google**, completed his **postdoc at Stanford**, and earned his **PhD from the University of Maryland**.\n* **Sonali** is a former **Lead AI Engineer** at **Halliburton**, **Progressive Insurance, and American Family**, specializing in **unstructured data** and building production-grade AI systems from scratch. She earned her **MS from the University of Washington**.\n\nWe’ve spent our careers building and deploying AI for complex, messy real-world data — which is exactly what freight finance looks like.\n\n### **What Lighthouz AI does**\n\nLighthouz handles the entire freight billing workflow:\n\n✅ Ingests **carrier bills, PODs, BOLs, lumpers, and invoices** from email and uploads\n\n✅ Extracts and structures **all freight data** — rates, accessorials, remit-to, signatures, handwritten notes\n\n✅ Verifies carrier bills against **rate confirmations / quotes**\n\n✅ Detects exceptions like **duplicates, overbilling, missing PODs, wrong factors, and invalid accessorials**\n\n✅ Auto-approves clean bills and routes **only true exceptions**\n\n✅ Approves and submits **customer invoices within 24 hours of delivery**\n\n✅ Sends automated **collections reminders** to customers pre- and post-due date \n\n✅ Creates a work queue for human collectors \n\n✅ Posts clean, validated data directly into the **TMS with full audit trails**\n\n### **Why this matters**\n\nManual AP/AR quietly kills cash flow in freight. Before Lighthouz, teams typically take **3–5 days** to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\nWith Lighthouz:\n\n* Processing time drops from **3–5 days → &lt;24 hours**\n* Days to get payment from customers reduces by 5 days \n* One AP specialist can process **4–5x more volume**\n* Errors and rework drop dramatically\n* Teams scale without adding headcount\n\nThis isn’t generic automation. Lighthouz is freight-native, built for multi-stop loads, multi-document PDFs, missing pages, rotated scans, handwritten notes, and factoring response workflows.\n\n### **Where we are**\n\nWe are already working with leading freight brokers and 3PLs in the US and Canada. \n\n**Ask** ❤️\n\nIf you know freight brokers or 3PLs, please introduce us!",
        "url": "https://www.ycombinator.com/launches/P41-lighthouz-ai-ai-to-automate-ap-and-ar-for-freight-brokers-and-3pls",
        "votes": 16,
        "created_at": "2025-12-22T13:34:56.794Z"
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    "id": 29708,
    "name": "The Synthesis Company",
    "slug": "the-synthesis-company",
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    "website": "https://thesynthesis.company",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We enable research that was previously impossible—systematic reviews of 20,000+ papers in weeks with 98% accuracy.\r\n\r\nWe collaborate with researchers at Stanford, Harvard, and Johns Hopkins to ask the big questions they've been forced to scale down.\r\n\r\nPharma companies get complete evidence awareness in weeks — not years.\r\n\r\nAI labs get the same reviews as RL environments with expert-validated reasoning traces—scientific synthesis as the next frontier after math and coding benchmarks. \r\n\r\nWe're former DSPy core contributors who built the production infrastructure to make total evidence awareness actually work at scale.",
    "one_liner": "100x faster scientific evidence synthesis",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1720735986,
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "**What's the problem?**\r\n\r\nThe volume of scientific literature has become impossible to synthesize manually. Researchers are forced to ask smaller questions. Pharma companies make billion-dollar decisions with incomplete evidence. AI labs lack high-quality reasoning environments beyond math and code.\r\n\r\n**Why is this big?**\r\n\r\n* Researchers: 20,000+ relevant papers exist for most ambitious questions, but systematic reviews typically cover &lt;5,000. Important patterns, contradictions, and opportunities stay hidden.\r\n* Pharma: Information asymmetry determines winners. Missing a safety signal or indication expansion can cost billions. Current evidence synthesis takes 18 months; competitors move faster.\r\n* AI Labs: Math and coding benchmarks drove general reasoning improvements. Scientific synthesis may be the next frontier—but there's no infrastructure for training at scale with expert-validated ground truth."
      },
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "**If we succeed:**\r\n\r\n* Research advances faster: Researchers ask paradigm-shifting questions without scale constraints. The scientific method evolves from \"what can we manually process?\" to \"what should we actually know?\"\r\n* Pharma operates with total information awareness: Drug development accelerates. Companies make billion-dollar decisions with complete evidence. Patients get better treatments faster.\r\n* AI reasoning improves fundamentally: Scientific synthesis becomes the training environment that produces models with expert-level judgment—the ability to weigh contradictory evidence, evaluate methodology, and synthesize across 100,000+ sources. This capability transfers beyond science to any domain requiring rigorous reasoning.\r\n\r\n**The world looks different when:**\r\n\r\nThe constraint on human knowledge shifts from \"what evidence exists?\" to \"what questions should we ask?\" Every major decision—scientific, clinical, commercial—is made with complete information awareness instead of blind spots. And AI systems develop reasoning capabilities that match or exceed human experts in synthesizing vast amounts of scientific evidence."
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        "full_name": "Cyrus Nouroozi",
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        "id": 83751,
        "title": "Zenbase: Continuous prompt optimization from DSPy core contributors",
        "tagline": "Dev tools and cloud infrastructure for teams to save time, never get stuck in prompt hell, and create AI apps that keep getting smarter.",
        "body": "**TL;DR:** Zenbase helps developers focus on programming by automating prompt engineering and model selection. We’re building developer tools and cloud infrastructure for teams to save time, never get stuck in prompt hell, and create AI apps that get smarter over time.\n\nHey there! We're [Cyrus](https://linkedin.com/in/knouroozi/) & [Amir](https://www.linkedin.com/in/amir--mehr/). In the past, we've both been lead engineers and founding CTOs. We became contributors to [DSPy](https://github.com/stanfordnlp/dspy) and discovered the future of programming with language models.\n\nThis is the story of how we came to this insight, our glimpse into the future, and 2 case studies on how Zenbase has helped companies escape prompt hell and scale prompt engineering.\n\n![uploaded image](/media/?type=post&id=83751&key=user_uploads/121365/4f26ad68-3d25-4e10-8573-3b8937b0f8b4)\n\n## Problem\n\nPrompt “engineering” is the most time-consuming, stressful, and uncertain part of programming with LLMs. With DSPy, we had found something profound. It promised to save us from the all-too familiar user journey we — like so many others — had experienced.\n\n![uploaded image](/media/?type=post&id=83751&key=user_uploads/121365/900890e2-d8f5-4a1f-a7db-34d528534de9)\n\nDSPy kept growing. It became Stanford NLP's #1 GitHub repo with 16K stars. We started hearing of folks in Microsoft, Amazon, Google, and 40+ other companies using DSPy to prototype apps with it.\n\nWe began hearing the same things all over again. Although many found DSPy elegant and intuitive, countless folks found it impossible to grok. Those who managed to build something with it had headaches productionizing it; finding it difficult to scale, make reliable, and make performant.\n\nSo, we set out to create the productionized DSPy.\n\n## Solution\n\n![uploaded image](/media/?type=post&id=83751&key=user_uploads/121365/95d2ad6e-9ce2-4903-b2d9-9715958d3064)\n\nZenbase lets you optimize your prompts and models. We offer:\n\n1. [zenbase/core](https://github.com/zenbase-ai/core/tree/main/py) is an open-source Python library that you can use to optimize your existing LLM pipelines using DSPy’s optimizers (versus having to rewrite your pipelines in DSPy)\n2. A hosted API for creating AI functions that get smarter with time. We ingest user feedback to continuously optimize the prompt and model.\n\n   We use the latest tricks from DSPy, our own custom optimizers, and fine-tuning as appropriate to execute your intents in a way that's good, fast, and at a reasonable price.\n3. An on-prem API for businesses with data privacy requirements.\n\n## Use Cases\n\n### How Zenbase saved Vera from Prompt Hell\n\n> **Zenbase came into the trenches with us to improve our evals from 10% to 80%.** It really felt like they were a part of our team.\n>\n> — Taeib, Cofounder @ [Vera-Health.ai (YC S24)](http://Vera-Health.ai)\n\nThey were staying up until 3am on multiple nights trying to prompt engineer their RAG query generator to retrieve the correct documents. Their progress was uncertain. It was stressful. We call this prompt hell.\n\nPrompt engineering is the most uncertain, risky, and stressful part of programming with LLMs. There didn’t seem to be a way out, but with Zenbase, they saw the light at the end of the tunnel.\n\nZenbase makes prompting systematic and peaceful. **We helped Vera go from demo to production, by optimizing the prompt of their query generator.** With a product that could handle doctors’ stress tests, they could focus on selling, and go to bed at a good time.\n\n![uploaded image](/media/?type=post&id=83751&key=user_uploads/121365/985b0550-7421-4890-8696-30201f7c4793)\n\n### How Zenbase helped Superfilter create an AI that’s personalized to its users\n\n> I’ve seen a lot of AI Devtools and Zenbase is solving a problem that everyone building with AI will have when going to production. **The best part is their product is so easy to use that it’s a no brainer.**\\\n> \\\n> — Scott, CEO @ [Superfilter.ai](http://Superfilter.ai) (YC S24)\n\nIt was all going great. Superfilter had just tested their AI email copilot with their beta users of investors and startup founders, and their users were excited. They onboarded a new cohort, and their prompts broke down. It worked well for the investors and startup founders, but not everyone.\n\nScott and his cofounder Travis realized that prompt engineering wasn’t going to scale to accurately categorize user emails into important, action required, or ignore.\n\n![uploaded image](/media/?type=post&id=83751&key=user_uploads/121365/694abf71-1e59-4dc5-bbfe-1d33209e0d2e)\n\nSuperfilter used our hosted API to create email categorizers that learned from users’ existing behaviour. With automatic prompt engineering, they were able to scale personalized experiences for every user.\n\n**Zenbase makes personalized AI apps easier to build and scale with automated prompt engineering.**\n\n![uploaded image](/media/?type=post&id=83751&key=user_uploads/121365/340719d4-94dc-4a3f-82f0-08c9a046ff1a)\n\n## Asks\n\n1. Are you in prompt hell, and do you want to feel the Zen? Are you trying to scale the personalization of prompts for every account?\\\n   \\\n   Learn more [on our website](https://zenbase.ai) and [schedule a demo](https://zenbase.typeform.com/early-access) with us so we can understand where you are and where you want to be. Let us be your LLM doctors and wizards as we guide you to where you want to go.\n2. Use our [MIT-licensed Python SDK](https://github.com/zenbase-ai/core/tree/main/py) to optimize your existing prompts with DSPy’s optimizers.\n3. Kindly share this post with anyone you know who could benefit 🙏",
        "url": "https://www.ycombinator.com/launches/Lmp-zenbase-continuous-prompt-optimization-from-dspy-core-contributors",
        "votes": 153,
        "created_at": "2024-09-04T17:47:28.998Z"
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        "full_name": "Caitlin Leksana",
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        "full_name": "Timmy Galvin",
        "title": "Founder/CTO",
        "founder_bio": "Timmy is the co-founder and CTO of Fazeshift.  He previously worked at a fintech startup using AI to automate bank operations and financial services.  Timmy holds two computer science degrees from MIT and an MBA from Harvard Business School.  He served for seven years as a nuclear submarine officer in the US Navy, taught cybersecurity at the US Naval Academy, and holds a software patent for data algorithms.",
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        "title": "Exclusive: Fazeshift Scores $17M As Investors Bet On AI-Powered Finance Ops, Starting With Accounts Receivable",
        "url": "https://news.crunchbase.com/fintech/fazeshift-accounts-receivable-ai-finance-ops-startup-funding/",
        "date": "May 07, 2026"
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      {
        "title": "AI for accounts receivable startup Fazeshift raises $4M",
        "url": "https://www.axios.com/pro/fintech-deals/2025/01/07/account-receivable-startup-fazeshift-4-million",
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        "id": 82136,
        "title": "Fazeshift - Better Accounts Receivable, with zero employees",
        "tagline": "AI-powered Accounts Receivable at a fraction of the cost.",
        "body": "We help companies nail their Accounts Receivable process without the need for a single employee.\n\nHistorically, this process was run by a team of people using an outdated spreadsheet to track millions of dollars of receivables. This time-consuming and error-prone process means money is left on the table as unpaid invoices pile up. Modern companies rely on Fazeshift for better Accounts Receivable at a fraction of the cost. \n\nHi everyone, we’re Caitlin and Timmy — the founders of [Fazeshift](https://www.fazeshift.com/).\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXfWzHTAPGsTO1pbNGPjGi7c7t4x89UfuHPJsNONuyWTqt8gbszjfm6a7h69VE6CeupRNhE-hR-xsMkTHCKQHOtV8G6S5XQRN3nI6-qOF22V8OAp-2viZ-j2RQVRxAgGTHpHZdjkiArjVBI4Jqc_huuQEAc?key=qvP4PVNSBbc2lXF_HIWyxA)\n\n# **🤯 The Problem: Invoicing is very manual**\n\n500 billion invoices are sent each year. Yet even today, companies still rely on humans and spreadsheets to manage them.\n\nMost companies staff an entire team of people solely dedicated to this process. This labor-intensive, costly, and error-prone process results in money left on the table.\n\n# **🎉 The Solution: AI Agents for Accounts Receivable**\n\n[Fazeshift](https://www.fazeshift.com/) integrates with your existing tools (Salesforce, HubSpot, DocuSign, Stripe, QuickBooks, NetSuite, Gmail, etc.) and automates the entire end-to-end process.\n\n**With Fazeshift, you can:**\n\n❌ Eliminate tedious manual tasks\n\n❌ Eliminate unnecessary meetings \n\n❌ Eliminate messy spreadsheets\n\n✅ Increase visibility\n\n✅ Reduce unpaid invoices\n\n✅ Have confidence that your process will scale\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdgzpGtzIXhF_gaR_q2SO_6Zif723tS8RSFJeCqAiPdpIS58QlmrJ-e_ImWUkp-Z7IhLGBI29061Qb8ifV5EHjpadeSvKR0vBCchHRZBfa0hRi0MYlMOjmeC_OcrAOVgHlPv0A_R5HZAQRgSmrsOTwj2UKq?key=qvP4PVNSBbc2lXF_HIWyxA)\n\n# **🙋Our Ask: How you can help**\n\n* **Share this post!** -  Do you know anyone in your network that deals with a lot of invoices? Do you know a CEO, CFO, or VP of Finance that would find this relevant? Please share this post (or blurb below).\n  * _Quick blurb to copy & paste:_ A team of Harvard & MIT grads created an AI-powered Accounts Receivable platform that automates invoicing, cash application, and collections. Save valuable time and reduce unpaid invoices with [Fazeshift](https://www.fazeshift.com/). Contact [sales@fazeshift.com](mailto:sales@fazeshift.com) for a demo and free trial.",
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    "long_description": "Benchify provides an execution layer for healthcare contracts, applying contract logic across audits, claim processing, and optimization. Payments are calculated correctly today, while contract performance becomes measurable and improvable over time.",
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        "full_name": "Juan Castaño",
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        "full_name": "Max von Hippel",
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        "founder_bio": "Max von Hippel holds a PhD in Computer Science from Northeastern University, focused on security and interactive theorem proving.  Before that, he completed a BS in Pure Mathematics at the University of Arizona.  But most importantly, he holds a Blue Belt from 10th Planet Jiu Jitsu.  Max grew up in Anchorage Alaska and is deeply passionate about software assurance (who isn't?).",
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        "id": 94193,
        "title": "Benchify: Instant self-healing codegen",
        "tagline": "Fix & bundle your generated code at lightspeed",
        "body": "### **TL;DR**\n\nBenchify handles the middle mile of codegen ensuring that generated code just works and is instantly executable. It’s a one-line SDK call between LLM clients and sandboxes to deliver instant code repair, accelerated bundling, and observability.\n\n### **Who**\n\nAnyone depending on non-human-in-the-loop codegen: – app builders, dynamic websites, agents, etc.\n\n### **Problem**\n\nGenerated code breaks — constantly.\n\nOn top of normal bugs like duplicate function calls, parse errors, or missing or extra parens, AI systems introduce new ones, such as stray tool calls, /\\* rest of code goes here \\*/, and malformed diff applications. Running that code inside sandboxes only compounds the pain: every piece has to be perfect for execution to succeed, and the sandbox boot time delays the inevitable. Since all the sandboxes are just firecracker VMs designed to run anything, they’re not optimized for the common workflows builders actually care about. The result is slow setup, fragile execution, and painful feedback loops.\n\n* **Missed errors**: Users hit error screens as soon as code loads in the browser. \n* **Delayed generations**: LLM-based auto-healing stretches generation times, slowing iteration.\\\n  **Token burn**: Edge-case failures trigger endless retries that chew through tokens without progress.  Often bugs are inherently out-of-distribution and thus hard to fix with AI.\n* **Setup lag**: Sandboxes take 30-120s to boot before code even runs, adding cold-boot lag to the rep-cycle when there’s an error.\n* **Lost data:** Sandboxes don’t easily track errors and the errors or only show the first (breaking) bug, making it hard to detect all the errors in code at once to push improvements \n* **Templates:** The use of templates speeds up sandboxes but leads to even more brittleness as the template has to be in perfect lockstep with the codegen.\n\n \n\n### **Solution**\n\nBenchify combines **non-AI techniques** (static analysis + program synthesis) with **highly optimized infrastructure** to deliver _turn-key code_ — fixed and bundled — in O(1 second).\n\nIt drops in as a **one-line SDK call** between your LLM client and the sandbox. If you’re only doing front-end work, you can skip the sandbox entirely and render directly from Benchify’s bundled output.\n\n![uploaded image](/media/?type=post&id=94193&key=user_uploads/1661832/dcd85900-d61c-47e4-b71e-0ef6244e5fd0)\n\n**Code Repair**: Sub second fixes for parsing, dependency, CSS/Tailwind, type, and interaction errors (e.g. empty-Select) with more on the way. If there’s an issue you’re running into, let us know and we can add a fix!\n\n![uploaded image](/media/?type=post&id=94193&key=user_uploads/1661832/5d3a354c-69ee-4f5c-8437-0d0360f28874)\n\n**Bundling**: Build and dependency resolution in 1-3s.\n\n* _Front-end_: Returns code that instantly renders on client via our SDK.\n* _Full-stack_: Bundles code that executes in any sandbox (skipping slow dependency & build steps) — the only delay left is sandbox cold boot.\n\n![uploaded image](/media/?type=post&id=94193&key=user_uploads/1661832/10606bbc-8df4-43f8-a574-aa9f0bd97d26)\n\n**Observability**: Analytics on error patterns in generated code.\n\n**Product Demo** \n\nhttps://youtu.be/my7yzpp8AqY\n\n### **How it works**\n\nBenchify’s analysis engine detects bugs and dispatches them to a growing library of static repair strategies in a fraction of a second. Strategies are optimized for different bug types, and layered using an incremental parsing approach, since sometimes fixing one bug unlocks others.  Each candidate fix is re-analyzed, with the best one selected automatically provided it yields a strict improvement in the code.  The architecture builds on prior research in _program synthesis_ and _program repair_, where the idea is to have a collection of strategies that may or may not work at fixing different bug types, combined with an analysis and execution engine that can efficiently determine whether or not a strategy succeeded.\n\n### **Story**\n\nWe entered YC with a formal-methods-driven code review product. But unreliable LLM-generated test harnesses kept breaking it. Talking with builders made it clear: **the real bottleneck was brittle codegen itself.** We pivoted to focus entirely on making generated code self-healing.\n\n### **Ask**\n\nWe’re focused on app builders today, but our core tech generalizes: agents, self-updating sites, programmatic ads, and more.\n\nIf generated code is slowing you down, let’s talk.",
        "url": "https://www.ycombinator.com/launches/OVF-benchify-instant-self-healing-codegen",
        "votes": 36,
        "created_at": "2025-09-29T17:06:35.366Z"
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      {
        "id": 83014,
        "title": "Benchify: Automatic code reviews that work",
        "tagline": "Better testing without writing tests.",
        "body": "![uploaded image](/media/?type=post&id=83014&key=user_uploads/1661832/cb65a61c-fa84-4ccf-a1d5-2f6bf33b88fa)\n\n# TL;DR\n\n[Benchify](https://www.benchify.com/) is a code review tool that uncovers real bugs by actually running your code on strategically generated inputs, using methods typically restricted to rocket science and chip design.  When errors are found, Benchify provides verified bugs, unit tests, and a patch (coming soon).\n\n# The problem\n\nEngineers (like you) spend almost half their time testing and debugging, which, let’s be honest, they’d rather spend doing literally anything else.\n\n* **Lower velocity:** Projects are delayed by testing & debugging\n* **Site outages:** Despite all the effort, critical errors slip through, leading to site outages and other failures\n* **Low test coverage:** Developing exhaustive tests is nearly impossible and generally put off for later…\n* **Shallow test depth:** Testing is limited to a few hard-coded cases\n\n# The solution\n\n![uploaded image](/media/?type=post&id=83014&key=user_uploads/1661832/ed5d818b-cba4-41cf-9ca7-f9b9ca419737)\n\nWe test your code using _magic_ (ok, formal methods) and deliver the results in an actionable comment on your PR.\n\n* **Automatic logical blueprint:** Benchify automatically writes a blueprint that says how your code is intended to function\n* **Run thousands of tests:** Benchify tests your code against the blueprint using thousands of strategically generated inputs\n* **Provide counterexamples:** Concrete, minimal counterexamples are provided when code fails so you can easily debug\n* **Generate unit tests:** We automatically translate counterexamples into unit tests for easy reproducibility and test-driven development\n* **Propose solutions:** When Benchify detects an error, it attempts to propose a solution, which it subjects to the same battery of tests as the original code\n\n## Does it work?\n\nThe testing techniques Benchify uses are typically leveraged for mission critical use cases, such as silicon chip design, rocket engineering, and high-speed trading. Our secret sauce is in making these techniques usable and actionable. \n\n# The Team\n\n![uploaded image](/media/?type=post&id=83014&key=user_uploads/1661832/09a8c140-f845-4f96-9113-6daac4963be2)\n\nMax and Juan first met as bright-eyed freshmen at Dartmouth College almost a decade ago and have been fast friends and on-and-off roommates since.  They’re deeply passionate about software assurance (who isn’t?) and excited to test your code.\n\n* [**Max**](https://www.linkedin.com/in/max-von-hippel-3b90742a8/) holds a PhD in Computer Science from Northeastern University, focused on security and interactive theorem proving. He has worked at NASA, the DoD 😉, and Galois. Most importantly, he holds a Blue Belt from 10th Planet Jiu Jitsu. \n* [**Juan**](https://www.linkedin.com/in/juan-castano97/) built and sold a business, helped companies like Instawork and Klaviyo grow, and advised on deals at McKinsey. Juan double-majored in Economics and survival skills at Dartmouth (okay, the second one isn’t official), and later picked up an MBA from MIT, where he unfortunately missed out on a chance to test his skills with the [pirate certificate](https://physicaleducationandwellness.mit.edu/about/pirate-certificate/).\n\n# Asks\n\n* Hop on a [call](https://calendly.com/d/cpyy-ffc-ynf/juan-max-30-min) with us to try out Benchify or talk about your frustrations with software testing\n* [Try out](http://www.benchify.com) our beta code reviewer and give us feedback\n* Shoot us an email at [hello@benchify.com](mailto:hello@benchify.com) with your biggest backend software testing pain points, and we’ll see if we can help out!",
        "url": "https://www.ycombinator.com/launches/Law-benchify-automatic-code-reviews-that-work",
        "votes": 45,
        "created_at": "2024-08-13T23:22:03.337Z"
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        "full_name": "Nitish Poddar",
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        "id": 78885,
        "title": "Founder Intern (now and Summer 2026)",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/drQwng0-founder-intern-now-and-summer-2026",
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        "location": "San Francisco",
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        "url": "https://www.ycombinator.com/companies/kastle/jobs/aEROGsr-staff-engineer",
        "location": "San Francisco",
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        "url": "https://www.ycombinator.com/companies/kastle/jobs/oVoVAkN-enterprise-account-executive",
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        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 106677,
        "title": "Staff AI Engineer",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/Q5eRUIa-staff-ai-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $350K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106678,
        "title": "Agent Product Manager",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/wPn6bC0-agent-product-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$150K - $220K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106679,
        "title": "AI Trainer (Part-time)",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/SLxK5Ru-ai-trainer-part-time",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$30 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106680,
        "title": "Founder's Office",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/rPfwCPo-founder-s-office",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $210K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
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        "id": 106681,
        "title": "Mortgage Originations Process Specialist",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/QqoHPNW-mortgage-originations-process-specialist",
        "location": "San Francisco",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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      {
        "id": 106682,
        "title": "AI Deployments Lead",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/SY5kLbZ-ai-deployments-lead",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$200K - $250K",
        "equity_range": "",
        "experience": "5+ years",
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      },
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        "id": 106683,
        "title": "Senior Product Manager",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/068QbmE-senior-product-manager",
        "location": "San Francisco",
        "type": "Full-time",
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        "experience": "5+ years",
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        "title": "Software Engineer - Intern",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/tZJ9uKM-software-engineer-intern",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "Any (new grads ok)",
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        "title": "Head of Sales",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/YRu4YAF-head-of-sales",
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        "url": "https://www.ycombinator.com/companies/kastle/jobs/J17XxMw-founding-growth-lead",
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        "title": "Technical Recruiter (Contract)",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/tDTfKw8-technical-recruiter-contract",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
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        "experience": "Any (new grads ok)",
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        "title": "Head of Talent",
        "url": "https://www.ycombinator.com/companies/kastle/jobs/U9gEFoM-head-of-talent",
        "location": "San Francisco",
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      {
        "id": 83146,
        "title": "Kastle - AI servicing for mortgage lending",
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        "body": "**✨** **TL;DR**\n\n[Kastle](https://kastle.ai/) builds AI voice and SMS agents for mortgage lending. We help lenders collect payments, answer loan questions, and qualify new loan inquiries using an AI team member.\n\n**❌  The Problem**\n\nMortgage servicers don’t have enough support agents to collect payments and answer customer questions. This leads to\n\n* Borrowers waiting in long queues just to make their payment or get a question answered.\n* Existing agents working long hours and multi-tasking to get through the queue. This leads to poor service and loss in repeat business for lenders.\n\nSince the call volume varies throughout the week, mortgage servicers are unable to scale their support agent team to meet the additional demand, leading to high average response times and unhappy loan investors.\n\n**🏰** **Enter Kastle**\n\n[Kastle](https://kastle.ai/) automates calls to collect payments and answer escrow questions, using AI voice agents. This helps lenders provide 24/7 service to customers, drive upsells, reduce call center costs by 90%, and ensure no borrower ever waits in line to make a payment or answer a question about their loan.\n\n[Checkout Kastle's AI voice agent](https://youtu.be/iOe4LQuf7u8)\n\nWe seamlessly integrate with a lender’s mortgage servicing system and telephony system to perform actions, leave loan comments, and route calls back to live agents if needed. Lenders can use pre-built action blocks to configure the AI agent.\n\n![uploaded image](/media/?type=post&id=83146&key=user_uploads/335581/4ea2b39a-8c4a-4a83-9b0a-58019654465d)\n\nKastle also automatically scores each AI call against a lender’s quality framework to ensure regulatory compliance.\n\n![uploaded image](/media/?type=post&id=83146&key=user_uploads/335581/3dba69f5-c37b-475e-93ce-e85ba8697d4b)\n\n**🤝 Team**\n\nWe’re Rishi and Nitish and we met at UIUC while studying engineering and computer science.\n\n* [Rishi](https://www.linkedin.com/in/choudharyrishi/) (CEO) led Redfin's Mortgage Marketplace team as a Product Manager and realized traditional mortgage lenders didn't have the infrastructure to service online inquiries and were losing customers. He also led Redfin's Search Experience team, which is responsible for 80% of the company's traffic, and is passionate about serving homeowners.\n* [Nitish](https://www.linkedin.com/in/nitish-poddar/) (CTO) was a tech lead at Verkada, where he led development for a patented motion search system and built out the entire backend inference infrastructure. He also led the firmware delivery team on a new fleet management system and led engineering for Incident Management, Verkada's newest product line.\n\n![uploaded image](/media/?type=post&id=83146&key=user_uploads/335581/22bcf4ca-fe9b-44b5-acfd-deb02440be61)\n\n**🙏 Ask**\n\n* **Please introduce us to any mortgage servicing or default management executives.**\n* \\*\\*If you’re a lender or sub-servicer looking to reduce costs and better retain customers, please [**book a demo here**](https://calendly.com/rishi_c/demo) or email us at \\*\\*[**rishi@kastle.ai**](mailto:rishi@kastle.ai)",
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        "created_at": "2024-08-17T01:26:50.003Z"
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        "full_name": "Hendrik Van Hove",
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        "founder_bio": "Belgian, 26, passionate about tech and (kite-) surfing.\nBuilding Conveo.ai, qualitative research at scale with AI interviews and analysis.\nWorked at McKinsey in tech/AI and private equity projects. Background in finance with internships at Morgan Stanley (IBD), Lazard (IBD), PE.\nMSc Business Engineering and MSc Artificial Intelligence (majority coursework, did not graduate).",
        "is_active": true,
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        "title": "Client Growth Manager - UK/Europe",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/vV02XiA-client-growth-manager-uk-europe",
        "location": "London / Antwerp",
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        "salary_range": "€60K - €85K EUR",
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        "title": "Business Development Representative (BDR) - NYC",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/yFU9IMC-business-development-representative-bdr-nyc",
        "location": "New York",
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        "id": 99761,
        "title": "Finance & Strategy Associate",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/mLITilr-finance-strategy-associate",
        "location": "London / Antwerp / Remote (US)",
        "type": "Full-time",
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        "id": 106649,
        "title": "GTM Associate - Internship",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/c60patv-gtm-associate-internship",
        "location": "Antwerp",
        "type": "Internship",
        "role": "Operations",
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        "experience": null,
        "visa": "US citizen/visa only",
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        "id": 106650,
        "title": "Research Impact Lead - SF",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/fLaHN5s-research-impact-lead-sf",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $150K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      },
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        "id": 106651,
        "title": "Events Manager US",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/WH5FYp3-events-manager-us",
        "location": "New York",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$110K - $140K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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      },
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        "id": 106653,
        "title": "Senior Product Engineer (€90-€110k + Benefits +Equity) ",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/oRvcpht-senior-product-engineer-90-110k-benefits-equity",
        "location": "Antwerp",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€90K - €110K EUR",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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      {
        "id": 106654,
        "title": "Strategy & Ops Associate",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/iqo8wLZ-strategy-ops-associate",
        "location": "Antwerp / London / Remote (US)",
        "type": "Full-time",
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      },
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        "id": 106655,
        "title": "Senior Product Engineer ($200k-$260k + Equity) - NYC",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/dAcZSPS-senior-product-engineer-200k-260k-equity-nyc",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106656,
        "title": "Senior Product Engineer (£80k-125k + Equity) ",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/dOqH8NT-senior-product-engineer-80k-125k-equity",
        "location": "London",
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        "role_type": "Full stack",
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        "id": 106657,
        "title": "Finance & Strategy Associate",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/fTA3U5R-finance-strategy-associate",
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        "id": 106658,
        "title": "Head of Product Marketing",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/xIQdB1D-head-of-product-marketing",
        "location": "New York",
        "type": "Full-time",
        "role": "Marketing",
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        "title": "Sales Director",
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        "location": "London",
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        "salary_range": "£100K - £120K GBP",
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        "id": 106660,
        "title": "Product Engineer (Internal tools & apps)",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/gAxAdvU-product-engineer-internal-tools-apps",
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        "title": "Sales Director ",
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        "id": 106663,
        "title": "Paid Marketing Associate",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/iqAWwwQ-paid-marketing-associate",
        "location": "New York",
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      {
        "id": 106664,
        "title": "Head of Video Content ",
        "url": "https://www.ycombinator.com/companies/conveo/jobs/tKOeU8l-head-of-video-content",
        "location": "New York",
        "type": "Full-time",
        "role": "Operations",
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    ],
    "news": [
      {
        "title": "Conveo raises $50M Series A — Conveo",
        "url": "https://conveo.ai/mediakit/series-a",
        "date": "Sep 02, 2026"
      },
      {
        "title": "Conveo raises $5.3M to revolutionize market research with AI-powered video interviews",
        "url": "https://conveo.ai/blog/2025-03-06-conveo-raises-5-3m-to-revolutionize-market-research",
        "date": "Mar 06, 2025"
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        "id": 83007,
        "title": "Conveo - Qualitative research conducted and analyzed by AI",
        "tagline": "Better understand your customer with AI-moderated voice and video interviews.",
        "body": "### **TL;DR**\n\nWe’re [Ben](https://www.linkedin.com/in/bendesmet1/), [Hendrik](https://www.linkedin.com/in/hendrik-van-hove/), and [Dieter](https://www.linkedin.com/in/dieterdemesmaeker/). We founded [Conveo](https://conveo.ai/) to reimagine how businesses gather deep customer insights. Our platform uses AI to conduct and analyze voice and video interviews, delivering faster, deeper, and more scalable insights.\n\n![uploaded image](/media/?type=post&id=83007&key=user_uploads/1986314/b846f684-c323-4041-bb81-36b012e98350)\n\n### **The Problem:**\n\n---\n\nToday, it’s near impossible for companies to gather deep insights at scale. Surveys lack the depth needed to truly understand your customer. Traditional qualitative methods, like interviews and focus groups, are slow, resource-heavy, and just plain cumbersome.\n\n### **The Solution:**\n\n[Conveo](https://conveo.ai/) is a qualitative research platform that uses AI to conduct and analyze voice and video interviews, delivering actionable insights within hours, not weeks.\n\n### **How You Can Help:**\n\n* **Share this post!** Help us spread the word—your network might just have the connections we need. Embrace the power of serendipity!\n* **Introductions:** Know someone in market research, CMI, marketing, product, or user research teams? Or perhaps someone in a market research or consulting agency? We’d love a warm introduction.\n* **Try It Out:** Are you a YC startup in need of user feedback? We’re offering 50 free interviews in exchange for your feedback. Plus, coffee’s on us! ☕️\n\n  \\* _quick blurb to copy & paste at the bottom_\n\n### **How It Works:**\n\n<https://www.youtube.com/watch?v=dDStJXSFuCo>\n\n1. **Get Started:** Upload your discussion guide, choose from a template, or let AI create one for you.\n2. **Distribute:** Share the interview link with your customers, or leverage our integrated B2C and B2B panels.\n3. **Engage:** Let AI moderate video and voice interviews in any language, adapting dynamically to each conversation.\n4. **Analyze:** Watch and learn as AI processes and summarizes hundreds of interviews, surfacing key themes, quotes, and insights.\n5. **Share & Socialize:** Share insights across your organization easily from within the platform.\n\n### **Who’s it for:**\n\n[Conveo](https://conveo.ai/) is designed for **in-house teams**—marketers, product managers, user researchers, and market researchers—as well as for **market research and creative agencies**. If you need deeper insights, faster, [Conveo](https://conveo.ai/) is for you.\n\n### **Our Story:**\n\nOnce upon a time, at DataCamp and McKinsey, we faced the same challenges many companies do today—trying to gather and analyze customer insights quickly and effectively. After banging our heads against the wall one too many times, we decided there had to be a better way. And so, [Conveo](https://conveo.ai/) was born. **Because who needs a wall when you have AI?**\n\n### **Our Mission:**\n\nTo enable companies to build the best possible experiences, products, and services based on profound consumer understanding.\n\n\\* [_Conveo_](https://conveo.ai/) is an AI-powered qualitative research platform that helps businesses gather deep customer insights at scale. They use AI to conduct and analyze voice and video interviews. Reach out to them at [_hello@conveo.ai_](mailto:hello@conveo.ai)",
        "url": "https://www.ycombinator.com/launches/Lap-conveo-qualitative-research-conducted-and-analyzed-by-ai",
        "votes": 20,
        "created_at": "2024-08-13T20:09:56.426Z"
      }
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    "id": 29719,
    "name": "cmux",
    "slug": "cmux",
    "former_names": [
      "Manaflow"
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    "website": "https://www.cmux.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "An open source native macOS terminal built on Ghostty. Vertical tabs, notification rings when agents need attention, split panes, and a CLI for programmability.",
    "one_liner": "Open source applied AI lab building next-gen devtools",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/manaflow-ai",
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        "full_name": "Austin Wang",
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        "founder_bio": "Building cmux.com, the open source terminal built for coding agents.\nCo-founder & CEO @ cmux / Physics @ Yale / Prev @ NASA JPL, Chess.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/austinwang115/",
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      {
        "user_id": 785834,
        "full_name": "Lawrence Chen",
        "title": "Founder",
        "founder_bio": "Building cmux.com, the open source terminal built for coding agents\nCo-founder of Manaflow / prev. Minion AI / Berkeley '24",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lawrencecchen/",
        "x_url": "https://x.com/lawrencecchen",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/983aa7cd00c0de514791fbb01a7830670d86f7e0.jpg"
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        "id": 106824,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/cmux/jobs/RcX3bDA-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      },
      {
        "id": 106825,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/cmux/jobs/p21OZLR-founding-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      },
      {
        "id": 107990,
        "title": "Founding Chromium Engineer",
        "url": "https://www.ycombinator.com/companies/cmux/jobs/T4rJNKX-founding-chromium-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      {
        "id": 98405,
        "title": "cmux: the open source terminal built for coding agents",
        "tagline": "Native macOS Ghostty-based terminal with vertical tabs, notifications, and built-in browser",
        "body": "**TL;DR**\n\ncmux is a Ghostty-based terminal with vertical tabs, notifications, and in-app browser, built for multitasking with coding agents.\n\ncmux is trusted by thousands of builders from Nvidia, Google, OpenAI, and more. In two weeks, we’ve gained 3.5k GitHub stars.\n\n<https://github.com/manaflow-ai/cmux>\n\n<https://www.youtube.com/watch?v=i-WxO5YUTOs>\n\n**Hey, we’re Austin and Lawrence.**\n\nThe future is pointing towards an IDE-less world. In fact, the best engineers have already stopped using VS Code and Cursor.\n\nBoris Cherny, the creator of Claude Code, has not opened an IDE since last November. No one knows what the best workflow looks like yet, but it has never been more urgent to experiment with AI or be left behind.\n\nBut our current tools aren’t built for this. If you try running multiple Claude Code or Codex sessions in a standard terminal, you’ll find yourself in the midst of chaos. On the flip side, GUI orchestrators lock you in and lack the flexibility for experimentation.\n\n**That’s why we built cmux: an open-source terminal primitive for exploring the future of agent-driven workflows.**\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/db7fb781-3b9c-464d-9363-8f25a7b4aa3c)\n\nWe wanted a lightning-fast native macOS (Swift/AppKit) terminal with features you need for managing fleets of coding agents:\n\n* Vertical tabs\n* Blue rings around panes that need attention\n* Built-in browser\n* Based on Ghostty\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/3128b3c6-1fba-4b9c-a287-13ef7c2d04ce)\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/0e4d8185-428a-458d-9b92-987a7189f889)\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/2d0b0af2-5317-419a-84af-c920874d961d)\n\ncmux also has a built-in CLI that allows coding agents to command cmux’s browser, create new workspaces, and start off other agents in new terminals. AI can use cmux exactly like you would.\\\n\\\n<https://www.youtube.com/watch?v=XKc1cVCFLDQ>\n\n**The zen of cmux**\n\ncmux is not prescriptive about how developers hold their tools. It's a terminal and browser with a CLI, and the rest is up to you.\n\ncmux is a primitive, not a solution. It gives you a terminal, a browser, notifications, workspaces, splits, tabs, and a CLI to control all of it. cmux doesn't force you into an opinionated way to use coding agents. What you build with the primitives is yours.\n\nThe best developers have always built their own tools. Nobody has figured out the best way to work with agents yet, and the teams building closed products definitely haven't either. The developers closest to their own codebases will figure it out first.\n\nGive a million developers composable primitives and they'll collectively find the most efficient workflows faster than any product team could design top-down.\n\ncmux is free, open-source (AGPL), and already trusted by thousands of builders from Nvidia, Google, OpenAI, and more. Developers build or port their own custom harnesses and orchestrators on top of cmux.\n\n<https://github.com/manaflow-ai/cmux>\n\n**Traction**\n\nIn two weeks, cmux grew from zero to 3.5k GitHub stars.\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/67e21a8c-3bc8-44e2-b310-9584a238775b)\n\nWe peaked at #2 on Hacker News: <https://news.ycombinator.com/item?id=47079718>\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/97569e3c-fdf9-4955-a675-4b64cc0919c2)\n\nOur X launch went viral: <https://x.com/lawrencecchen/status/2026729219154378912>\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/829277d1-b53c-4800-9f5c-1f449b2bbe62)\n\nMitchell Hashimoto, the creator of Ghostty and founder of HashiCorp, shouted out cmux on X.\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/ad536752-35d4-4ee0-9282-06d3a8feca23)\n\nNick Schrock, the creator of Dagster and GraphQL:\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/000699e9-4c69-471c-9096-678bd2ccd121)\n\nEdward Grefenstette, Director of Research at Google DeepMind:\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/e9c2b0b5-a3f5-4cee-bf61-87411a167143)\n\nMany Japanese fans:\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/4aa84dec-c312-4ad9-af6e-db89184e2f2f)\n\n**How you can help**\n\nStar our GitHub repo: <https://github.com/manaflow-ai/cmux>\n\nTry cmux: [https://www.cmux.com/](https://www.cmux.dev/) \n\nShare cmux with your friends: send feedback to [founders@manaflow.ai](mailto:founders@manaflow.ai).",
        "url": "https://www.ycombinator.com/launches/PbB-cmux-the-open-source-terminal-built-for-coding-agents",
        "votes": 735,
        "created_at": "2026-03-03T17:31:16.700Z"
      },
      {
        "id": 82289,
        "title": "Manaflow - Build and manage your dream AI operations team",
        "tagline": "Automate workflows involving data analysis, API calls, and business actions. ",
        "body": "### **🛎️ TL;DR**\n\n* [**Manaflow**](https://manaflow.ai/) empowers **operation managers** to automate workflows involving data analysis, API calls, and business actions.\n* You can **command Manaflow agents in English** to execute recurring tasks and manage them on a spreadsheet interface. \n* Think of us as an **AI-first Zapier alternative** but with natural language and spreadsheets. \n* **Frustrated with repetitive manual tasks** in your business? We’ll automate them all for you. [**Let’s chat**](https://cal.com/team/manaflow/meeting)**.**\n\n### **🗂️ The Problem: Too much Excel, too much manual stuff, too much repetition**\n\nAre you tired of **juggling countless Excel files and manual workflows for your business**? Do these workflows prevent your business from scaling up?\n\nAfter **conducting over 250 calls**, we've discovered a recurring problem: **small-to-mid-sized businesses (SMBs)** rely heavily on folders of Excel files and third-party apps to **manually execute their day-to-day operations**, which is **time-consuming, error-prone, and a huge bottleneck to scaling**. \n\nFor instance, in freight forwarders, operations include managing client communications, inventory oversight, and coordinating delivery schedules, most of which are done manually. These **manual processes** not only **decelerate business growth** but also **heighten the risk of mistakes**.\n\nToday’s operation managers are blocked by a lack of **technical knowledge,** **customization,** **and** **simplicity** in current workflow automation builders.\n\n### **💡 Introducing MANAFLOW: Automate operations workflows with AI**\n\nWe are building **Manaflow** specifically for **underdog SMBs to scale** like their tech-enabled, big corporation counterparts, transforming manual spreadsheet and software tasks into **automated end-to-end workflows**.\n\nThe ideal way to execute workflows is not for a human to manually operate Excel sheets or interface with different software apps but for a human to **merely click a button**. \n\n**AI can own end-to-end technical workflows** and convert them into features, while **humans can oversee** them, update them as the business evolves, and tackle higher-level automations. Let’s see this in **action**.\n\n### **📕 Building a Basic Workflow on Manaflow**\n\nWe’ll begin by building a fun, basic workflow on Manaflow to **send payment reminders to clients** via email.\n\n[Manaflow Demo: Building Sending Payment Reminders Workflow](https://www.youtube.com/watch?v=TGbJN7pNb30)\n\nNext, we’ll go into more specific examples of potential use cases for business customers.\n\n### **📸 Manaflow Workflow #1: Watermark videos and send them to your clients via Gmail**\n\nOne of our customers uses Manaflow to take in unpolished videos from Google Drive, process them, watermark them with their logo, and then email the final products to their clients — **all in one click of a button**. \n\n[Manaflow Demo: Watermarking Video Workflow](https://www.youtube.com/watch?v=tTTTRrzICVg)\n\nThis has **cut their** **20-hour weekly manual workflow down to 20 minutes**, and Manaflow has become a core part of their operations.\n\n### **🛻 Manaflow Workflow #2: Find and email truckers for your shipment logistics**\n\nAnother customer uses Manaflow to find and email local trucking companies based on the shipment origin and final destination. \n\n[Manaflow Demo: Finding Truckers for Logistics Workflow](https://www.youtube.com/watch?v=9GsBHG3zm_I)\n\nThis has allowed them to gather rate quotations faster for their clients and has **reduced their manual operations by over 50%.**\n\n### **🙌 One more thing: Collaborate with all stakeholders, including us, to build automations**\n\nThere are countless workflow automations that you can build on Manaflow. We understand that people have many different ideas and love working in teams. So, we made **real-time collaboration** so all of you can build and automate workflows together on Manaflow.\n\n![uploaded image](/media/?type=post&id=82289&key=user_uploads/760906/1e1b585b-aa0e-4fa6-abf9-c3774e9bdfba)\n\nPartnering with us, you will also have **24/7 access to Manaflow’s engineering support staff.**\n\n### 👥 **OUR TEAM**\n\n[**Austin Wang**](https://www.linkedin.com/in/austinwang115/): Yale Physics, CS & Econ; Prev. SWE @ Google, NASA JPL, Chess.com, ML @ Datacy\\\n[**Lawrence Chen**](https://www.linkedin.com/in/lawrencecchen/): Berkeley CS; Prev. Founding Eng @ Minion AI, Berkeley RISE Lab\\\n[**Wesley Tjangnaka**](https://www.linkedin.com/in/wesleytjangnaka/): Stanford Math & CS; Prev. Stanford AI Research, ML @ Juniper Networks\n\n![uploaded image](/media/?type=post&id=82289&key=user_uploads/89898/2d6a0806-b347-4d6d-ac7f-cc69dae86325)\n\n**🙏 Our Ask**\n\n**If you are or know any** **operation managers or businesses** **that run on spreadsheets**, **please let us know or schedule a time with us** [**here**](https://cal.com/team/manaflow/meeting). Any intros or shoutouts would be super awesome and greatly appreciated.\n\nWe’d really appreciate a like and subscribe on our [YouTube](https://www.youtube.com/channel/UCAa89_j-TWkrXfk9A3CbASw), a follow on our [Twitter](https://x.com/manaflowai) and [LinkedIn](https://www.linkedin.com/company/manaflow-ai/), and some feedback on our [product](https://manaflow.ai/). \\\n\\\nThank you!",
        "url": "https://www.ycombinator.com/launches/LPF-manaflow-build-and-manage-your-dream-ai-operations-team",
        "votes": 918,
        "created_at": "2024-07-19T22:13:47.678Z"
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    "id": 29721,
    "name": "Panora",
    "slug": "panora",
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    "website": "https://getpanora.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Panora automates PO entry for distributors, manufacturers and wholesalers. Stop wrong shipments, block duplicates, reclaim ~80% of your order-entry time.",
    "one_liner": "Turning messy inboxes into ERP-Ready Data",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1715907913,
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Rachid Flih",
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        "linkedin_url": "https://linkedin.com/in/rflih",
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    "id": 29723,
    "name": "Aluna",
    "slug": "aluna",
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      "FetchFlow",
      "Fetchflow",
      "Fortress",
      "Nerve"
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    "website": "https://alunadata.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We work with health organizations, to build curated datasets and evals for health AI. Currently focused on Oncology. ",
    "one_liner": "Data for biomedical AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1723763454,
    "tags": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/aluna",
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        "full_name": "David Chu",
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      {
        "id": 83123,
        "title": "🏰 Fortress – Manage isolated customer databases in your own cloud",
        "tagline": "Offer data isolation at the level enterprises want with none of the DevOps.",
        "body": "**TL;DR: 🏰** [Fortress](https://fortress.build) is an orchestration platform for SaaS applications, allowing them to easily manage a multi-instance database architecture (a hybrid of dedicated and shared instances) in **their own cloud**. \n\nIf you are a SaaS using (or migrating to) AWS/GCP/Azure for databases, [**_schedule a meeting!_**](https://calendly.com/david-fortress/30min)\n\n# **🚩 Problem:**\n\nAs a SaaS grows, they follow these two trends:\n\n1. They mature off 3rd party managed database platforms and move into their own cloud (onto an AWS/GCP/Azure) for cost, latency, and more control of their data.\n2. They move from a single shared database architecture to a multi-instance database architecture for performance, compliance, and due to data isolation requirements of enterprise.\n\nThese result in headaches for SaaS startups.\n\nExisting cloud-native database services not only have complex docs and SDKs, but orchestrating separate database instances requires additional DevOps: deployments, schema migrations, connection pooling, versioning across instances, etc.\n\n# **🏰 Introducing… Fortress**\n\nA database orchestrator that simplifies DevOps of managing a multi-instance database architecture on your private cloud. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeM89ZIOfe5fzfqrvvZR8QZeJT4VFxf-l8RkWKi2xhFmmA4xXoQv4Am8mqR_VJX0hZJEpkA0r_ThT4KFt5Fiyzp5QIJmgX0QmhytMyXt0Y58WePtvdi8-KCypPNLxQCOi1JvWuYpHkkNoAxOrJohjYBDDfF?key=9YIQrtfvHKcEq_yzYYr_RQ)\n\n* **☁️ In your own cloud:** Host your database instances in your own cloud for security and reduced vendor lock-in (and use your cloud credits!). _We also have a fully-managed service!_\n* **🛠️ Simplified DevOps**: Global schema migrations and rollbacks, versioning, and managed connection routing\n* **👥 Tenant Management**: APIs/SDKs to support easy provisioning of a dedicated instance for larger enterprise clients and easily add smaller clients to shared instances. \n* **✨ Developer-friendliness:** Easy-to-use client SDKs and ORM integrations. CLI and UI for admin.\n* **🚀 Flexible Deployment**: Deploy the database instance closer to your customer or to a specific region for compliance or reduced latency. \n* **🔒 Security**: Managed network isolation, custom Role-based Access Control for each database, encryption in transit and at rest, by default, simplified compliance audits, and easy tenant data deletion.\n* **🧤 White glove migration**: For now, we will do white glove migration to our platform (it’s fairly simple if you already use AWS/Azure/GCP for databases)\n\n \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXft6jhnrN1J9uZE177D6tv2SI0qcWg1GNRv2kkBnAiGjzXjr_wYgsDvYDVzL1OpdiNM1tV8DdMiGw186fGzUJnAk8fUk_wd1dijEkE6WL2Vf6XrbVsEh90LhdZz_5-Y6wvd0v8wVLmjpMj8UsphUgPP-GrQ?key=9YIQrtfvHKcEq_yzYYr_RQ)\n\n_Easily manage tenants, see their estimated usage, and what databases their data is in_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd9unp3fr994hjsN-JNeqKPVClbgUW4L_f0YU7rMk-OWVi54qo59PsYegIvfiEPGWgo6V-_8Sv1IlC-qr-S-PLZFNdmR7SnnnqnqB3eylgHOTVDJg8DGXlcPptDBsCC20KUNvw0JTlaWD9giMIYaGFI6ok?key=9YIQrtfvHKcEq_yzYYr_RQ)\n\n_Group databases by schemas to propagate schema migrations across groups (we handle rollbacks)_\n\n# **🌟 Future plans?**\n\n* Schema Branching (branch current schema states and or freeze them for development)\n* Zero-downtime schema migrations\n* Experimental: Storage-compute separation to allow scaling to near 0 with Postgres **in your own cloud**\n\n# ❓ **Ask:**\n\n1. If you work with customers who require dedicated db instances, chat with us! We'd like to learn more about your experiences with DevOps.\n2. Let us know if you know any CIOs and CISOs! Would love to [chat](https://calendly.com/david-fortress/30min)! \n3. [Try our early access?](https://calendly.com/david-fortress/30min) We are easy to set up if you use a cloud-native managed service!\n\n## **🙌 The Team: Recent Brown CS grads + open-source wiz.**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctX4mvcWdjP5D92rRncPsy8x0jSPrWal_YVuVfT18YYBP49Ab3z3wHex33NUj1alZgm2ZQcA8tl0-9S_cdVttkbRp_12gQX-PG7kGLM4SBgFmnG_uF6XypCC-bn8vyunrVzj0Wee2lUkyoI68qWI7Xx61L?key=9YIQrtfvHKcEq_yzYYr_RQ)\n\n[John](https://www.linkedin.com/in/john-finberg) + [Will](https://www.linkedin.com/in/willothy/) have been building software since 14\n\nJohn + [David](https://www.linkedin.com/in/dchu17/) were CS buddies @ Brown ",
        "url": "https://www.ycombinator.com/launches/Lch-fortress-manage-isolated-customer-databases-in-your-own-cloud",
        "votes": 104,
        "created_at": "2024-08-16T19:26:58.371Z"
      }
    ]
  },
  {
    "id": 29725,
    "name": "Promi",
    "slug": "promi",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd853bd5965534bc6ccb3bd2ebe20fdb00753e2c.png",
    "website": "https://www.trypromi.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Promi provides product feedback in the form of customer interviews, URL walkthroughs, heatmaps, and more by creating digital twins of your existing customers. We ingest data from Posthog, Intercom, Stripe, etc. to create your personas from real product usage data. By factoring in how your customers actually interact with product features, we provide much more relevant and insightful feedback on what you are building.\r\n\r\nWe aren't trying to replace user research, but in our experiences most products don't have the time or budget to talk to real users. Getting synthetic feedback is the next best thing, and can/should be a part of launching any products.",
    "one_liner": "Providing quick product and design feedback via digital twins",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1722224133,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We both worked at Uber prior to Promi, where Peter led product for discounts across Uber Eats and Rides. Jiaxin worked on Uber’s core AI team. Peter had the idea for Promi after having seen how wasteful discounts were for the business, and how impactful certain features could be for making discounts more efficient and ROI positive."
      }
    ],
    "url": "https://www.ycombinator.com/companies/promi",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/promi.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/promi-discounts",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd853bd5965534bc6ccb3bd2ebe20fdb00753e2c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    ],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 1824823,
        "full_name": "Peter Moot",
        "title": "Founder",
        "founder_bio": "Co-founder @ Promi. Prior to Promi I led product for discounts at Uber. I have a degree in economics and computer science from Harvard.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/petermoot/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8577a489f437d55b1fd2c75b527eb94303959dff.jpg"
      },
      {
        "user_id": 1337968,
        "full_name": "Jiaxin Lin",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Promi. Most of my career has been working on recommendation / personalization systems in the e-commerce space.\n\nAvid coder and lifelong learner.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jiaxinlin/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f10e7580ed6acbc79a917f03688e735b896b499c.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "13 companies from YC Demo Day 1 that are worth paying attention to | TechCrunch",
        "url": "https://techcrunch.com/2024/09/25/13-companies-from-yc-demo-day-1-that-are-worth-paying-attention-to/",
        "date": "Sep 25, 2024"
      }
    ],
    "launches": [
      {
        "id": 109513,
        "title": "Promi: Evaluate your product concepts with digital twins of your customers",
        "tagline": "We simulate your real customers using your 1st party data for product feedback before you build.",
        "body": "**TL;DR: Promi builds simulated versions of your real users from your product analytics data (Posthog, Stripe, Intercom, etc.). Run your next ideas past them: flows, copy, pricing, onboarding, and see where your users would hesitate, what they'd skip, and why, before anyone writes code.**\n\n<https://youtu.be/VH7s2ATqMBU>\n\nHi! Peter here, cofounder of Promi (S24)\n\n## **The problem**\n\nReal user feedback is the gold standard for deciding what to build and almost nobody gets it, because it's slow and expensive. So teams substitute: survey panels, ICP interviews, and lately AI personas prompted with a demographic sketch. All of them share the same flaw — they don't know _your_ users. The result is confident feedback with no context, and ideas that ship blind anyway.\n\n## **How Promi works**\n\nConnect your product analytics tools. Promi builds behavioral profiles of your actual user segments, not personas, not survey panels, and turns them into simulated users. Describe a proposed change: a flow, copy, pricing, onboarding, and they react the way your real segments tend to: where they'd hesitate, what they'd skip, and why.\n\n## **Why we're building this**\n\nI spent 5 years as a PM at Uber, where real user feedback was the gold standard nobody had time or budget for — so most ideas shipped blind. When we did get feedback, 9 times out of 10 we preferred existing customers over a generic ICP, because real users knew _why_ they used the product. AI feedback needs that same context, so we built Promi to have it: simulated users trained on your customers' actual behavior.\n\nEvery product decision deserves real user feedback. We're making that the default instead of the luxury.\n\n## **Our ask**\n\n**If you're a product team with 3+ months of session data and ideas you're actively debating, reach out — we're onboarding design partners now.** We'll build simulated versions of your users and run your next ideas past them. Then judge us on one thing: did it surface something true about your users that a generic AI couldn't? You know your users; you'll know fast whether our simulations ring true.\n\nSchedule a call: <https://calendly.com/pmoot/promi-overview>\n\n Website: <https://www.trypromi.com> Email: [peter@usepromi.com](mailto:peter@usepromi.com)",
        "url": "https://www.ycombinator.com/launches/SUL-promi-evaluate-your-product-concepts-with-digital-twins-of-your-customers",
        "votes": 4,
        "created_at": "2026-08-06T17:40:12.477Z"
      },
      {
        "id": 82565,
        "title": "Promi - AI powered discounts for ecommerce merchants",
        "tagline": "Send smarter discounts",
        "body": "**tl;dr:** [Promi](https://www.usepromi.com/) helps ecommerce merchants send smarter discounts by leveraging AI to dynamically update discounts and optimize for clearing inventory, varying discount values across products for first order, holiday, etc. campaigns, and better communicating discounts across your website via price strikethroughs and other UI components.\n\nWe are available on the [Shopify app store](https://apps.shopify.com/promi-discounts)!\n\n<https://youtu.be/HsVv82xmyNw?si=nr-sLwtCLy18wddi>\n\n👬 **Meet Our Team**\n\n![uploaded image](/media/?type=post&id=82565&key=user_uploads/1824823/cc9ee0e3-efbb-4a81-a5b1-7d442bc0ac28)\n\n[_Peter_](https://www.linkedin.com/in/petermoot/)_: The Discount Guru_\n\nPeter is coming from Uber, where he was the product lead overseeing discounts across Eats and Rides. While there, he launched many of the features we are now building into Promi today. He has a degree in economics from Harvard and would love to talk with you about your pricing and discount strategy.\n\n[_Jiaxin_](https://www.linkedin.com/in/jiaxinlin/)_: The AI mastermind_\n\nJiaxin was the tech lead and founding engineer at Uber’s knowledge graph platform, focusing on recommendations and personalization. Before Uber, Jiaxin worked in AI at Google’s Shopping Recommendations team.\n\n**❌ The Problem**\n\nMost retailers spend 5-10% of their gross merchandise value on discounts to acquire new customers, celebrate holidays, hit sales targets, clear inventory, etc. However, choosing the right discount often involves guesswork. More sophisticated merchants look at what worked well in the past, but they don’t have the time or means to granularly optimize their discounts across products and users, or dynamically update the offers based on order trends. Additionally, many retailers don’t communicate savings available via discount codes on their website until checkout, causing a drop in customer conversion.\n\n# **💡 Our Solution**\n\nPromi enhances discount performance by addressing key issues:\n\n* **Dynamic Updates**: AI-driven adjustments ensure efficient inventory clearance without over-discounting. Specify the volume, timeframe, and pricing guardrails, and Promi will continuously monitor and update discounts.\n* **Improved Communication**: Discounts are displayed site-wide using deep links for price changes and other UI components.\n* **Variable Discounts**: We vary discount values across products to take advantage of differences in profit margins and prices, all under a single code. Your email sign-up and member-only campaigns just got a lot more profitable\n\nThese solutions improved Uber's discount efficiency by more than 40%. Stay tuned for upcoming features like personalized discounts, performance measurement dashboards, and experiment setups!\n\n![uploaded image](/media/?type=post&id=82565&key=user_uploads/1824823/8e18f1bb-1e59-4555-9384-3a6b3bca6f45)\n\n**🙏 Ask: Check out Promi!**\n\nIf you run a Shopify store or know someone who does, we'd love to chat. Email us at [peter@usepromi.com](mailto:peter@usepromi.com).\n\nSee our website and app listing below:\n\n* <https://www.usepromi.com/>\n* <https://apps.shopify.com/promi-discounts>",
        "url": "https://www.ycombinator.com/launches/LTh-promi-ai-powered-discounts-for-ecommerce-merchants",
        "votes": 31,
        "created_at": "2024-07-30T18:39:55.548Z"
      }
    ]
  },
  {
    "id": 29727,
    "name": "Overstand Labs",
    "slug": "overstand-labs",
    "former_names": [
      "Overstand Labs",
      "Overstand Labs Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.png",
    "website": "https://overstandlabs.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Overstand is a data lab that allows our customers to navigate any set of data in just a few minutes.\r\n\r\n*Enterprise*: For enterprises, we we unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations.\r\n\r\n*Legal Firms*: For legal firms, we help them really quickly understand their entire discovery corpus (either before, or after document review), and quickly build out an initial case assessment and facts.\r\n\r\nInstead of waiting on reports or manual analysis, teams get immediate, evidence-backed answers from the data they already have. Overstand delivers clarity and leverage as your business scales.",
    "one_liner": "Navigate any set of data - no matter how large - in minutes.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1724369845,
    "tags": [
      "LegalTech",
      "Data Science",
      "Data Engineering",
      "AI",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/overstand-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/overstand-labs.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/overstand-labs/",
    "x_url": "https://x.com/OverstandLabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1993194,
        "full_name": "Mihir Patil",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Overstand Labs. California Native. Ex-Palantir. Faculty @ NYU. Go Bears!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mihirnpatil/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f426ba6fe9ee49a3ffe6f50a7fa7bdaf607d2a5e.jpg"
      },
      {
        "user_id": 282405,
        "full_name": "Derrick Cheng",
        "title": "Founder",
        "founder_bio": "Co-Founder of Overstand Labs | Ex-Meta | AI @ Berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chengderrick",
        "x_url": "http://twitter.com/dowithderrick",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb972f35799a490a0e323593b2ea731f4a7db12c.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 98764,
        "title": "Overstand: A personal data team for Execs",
        "tagline": "Business leaders have ideas all the time. Overstand lets them validate and act upon them in just a few minutes.",
        "body": "**TL;DR**: [Overstand](https://overstandlabs.com/) is a personal data lab for Execs. We allow business leaders validate their intuitions against their company’s data — with their just their voice, you can go from a raw idea to an evidence-backed answer. They can even see a reproducible step-by-step process and underlying data behind it — all in a few in minutes. Have a look at our [launch video](https://www.youtube.com/watch?v=KrOwutgKsEA).\\\n\\\nAfter working with a bunch of larger companies, we learned something important: some of the most valuable questions are not the ones people plan dashboards for. They're the spontaneous ones, the realizations that you have mid-conversation... the \"wait a minute…\" moments.\n\nHere’s an example that many of us have encountered at some point: let's say you're talking to a customer, and they say \"_you know we've really struggled to figure out how to solve X at our company. Is that something you can help us with?_\" They might explain why X is hard, and you'd go back and forth a little.\n\nThen you wonder, at some point — is this just them, or have others said the same thing? Has anyone else on your 200-person GTM team heard of _X_ before? The signal is buried across massive email threads, Gong transcripts, Slack threads, and CRM notes — there’s no way to know quickly.\n\nSo this intuition fades. Perhaps you’re able to help that customer in a one-off way, but you don’t see the broader pattern.\n\nWe built Overstand to solve for this exact gap — the crevices where data collection has traditionally failed to help you. The spurious thought that you might’ve had.\n\nYou articulate your intuition in plain language — \"_show me all instances of a customer indicating they're struggling with X._\" Overstand builds an entire data pipeline on top of your company's comms + hard data and surfaces the underlying examples that answer your questions — in just a few minutes. From there you can drill down: ask follow-ups to hone in on specific instances, chart the results over time or pull everything into a single context to discuss what was found. You can even action each result individually — sending contextually-crafted emails to each customer who mentioned _X_.\n\nAll of this, with just your computer or phone (and you can even do it with your voice — we call it _speech-to-data-pipeline_).\n\nMost enterprise tools are built around questions you already know to ask. Overstand is built around the ones you didn't plan for.\n\nIf you're running GTM, CS, or product at a company with real customer volume and this problem sounds familiar — we'd love to talk.\n\n![uploaded image](/media/?type=post&id=98764&key=user_uploads/1993194/7ad71368-31a7-4dca-aa7c-9139d83f452a)\n\n",
        "url": "https://www.ycombinator.com/launches/Pgy-overstand-a-personal-data-team-for-execs",
        "votes": 8,
        "created_at": "2026-03-19T20:31:17.415Z"
      },
      {
        "id": 87277,
        "title": "Overstand – Unlock Founder Mode with Real-Time Customer Insights",
        "tagline": "Know where your company needs you most",
        "body": "[Overstand](https://www.overstandlabs.com/) is a single platform and API that helps business leaders unlock \"founder mode\" by providing real-time insights from all customer communications—Slack, email, WhatsApp, call recordings, and more.\\\n\\\n**The problem:** As companies grow, it becomes harder for leaders to stay deeply connected to their customers. Critical trends, opportunities, and issues often go unnoticed, leading to slower decision-making, missed opportunities, and unresolved problems. Scaling without visibility into what’s happening at the “edges” of the business—customer interactions—creates blind spots that hinder growth.\n\n![uploaded image](/media/?type=post&id=87277&key=user_uploads/1993194/f829b629-7042-4789-b7ee-6cc44d8ed063)\n\n**How we solve it:** Overstand aggregates customer communications into one unified platform and delivers actionable insights.\n\n* **Know Where You’re Needed Most:** Focus on areas where your involvement can drive the biggest impact.\n* **Find Opportunities Everywhere:** Discover new prospects or expand existing relationships.\n* **Spot Trends Instantly:** Identify issues and opportunities in real time.\n* **Integrate Seamlessly:** Use Overstand’s API to bring insights directly into workflows, dashboards, or other tools.\n\nWith Overstand, business leaders regain clarity, focus, and the ability to scale while staying deeply in tune with their customers. [See a demo of Overstand here.](https://www.youtube.com/watch?v=-8tqKeXW2Cw)\\\n\\\n**Our ask:** If you or someone you know is struggling to maintain visibility into their company's customer interactions and opportunities, we’d love to help. Reach out to [founders@overstandlabs.com](mailto:founders@overstandlabs.com) or visit [overstandlabs.com](http://overstandlabs.com) to learn more or schedule a demo.",
        "url": "https://www.ycombinator.com/launches/Mhh-overstand-unlock-founder-mode-with-real-time-customer-insights",
        "votes": 57,
        "created_at": "2025-01-29T18:28:19.132Z"
      },
      {
        "id": 83338,
        "title": "Overstand - The platform for upselling your enterprise accounts",
        "tagline": "Meet Overstand, the cross-selling engine for enterprise software companies.",
        "body": "**TLDR**: [Overstand](https://overstandlabs.com/) helps enterprise software teams maximize revenue by reading all customer communication channels (chat, email, call recordings, support tickets) to uncover opportunities for contract expansion.\n\n**The problem:**\n\nBig tech companies know that one of the best ways to increase revenue is to bring more value to existing customers. But customer account management involves not just sales, but also support, customer success, implementation teams, and so on. Customers might voice problems that are not conveyed in a timely manner (or at all!) to those responsible for expanding the account.\n\nEnterprise software companies are leaving a lot of potential revenue on the table— some offer a whole menu of products, with each enterprise customer only taking advantage of one or a few of the offerings.\n\n**The solution:**\n\nOverstand is designed to read all customer communications and flag opportunities for expansion of customer accounts. It identifies hidden expansion opportunities that are buried in customer communications by analyzing every single message and comparing it to product docs and even existing use cases at other enterprise accounts.\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/9b65d2c3-9f8d-48e5-a07a-a6f6b37196f1)\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/1295ceae-f91f-4bcf-9b1f-4cb244c655cf)\n\n**The team:**\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/108201eb-a1e6-43f0-8397-4436134a5589)\n\nWe met at Palantir several years ago and both recognized the importance of empowering customer-facing teams to fully understand and sell highly technical and complex products. [Mihir](https://www.linkedin.com/in/mihirnpatil/) was a PM and engineering lead at Palantir and often felt that many existing customers could have further benefited from using his products. [Senta](https://www.linkedin.com/in/senta/) managed customer accounts valued in the double-digit millions and often observed challenges associated with upselling into existing accounts.\n\n**Asks:**\n\nIf you’re interested in cross-selling and upselling as a strategy for growing your enterprise account revenue, we’d love to chat! Email us at [founders@overstandlabs.com](mailto:founders@overstandlabs.com).\n\nFollow us [on LinkedIn](https://www.linkedin.com/company/overstand-labs/)!",
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        "created_at": "2024-08-23T01:13:45.957Z"
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        "id": 121522,
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        "body": "Hi everyone! 👋 I'm Tim, founder of Expand, and today we're launching Expand Fetch.\n\n**TL;DR:** Send a URL, get back Markdown written by Iris, our own vision model. It keeps the tables, icons and hidden JSON other tools drop, and every line links back to where it came from. On our benchmark, agents answer 74% of questions from our Markdown. The next best API gets 55%. Live today, $1 per 1,000 fetches.\n\n<https://youtu.be/qQCqpShmrLA>\n\n## **🚨 The problem**\n\nYour agent has an IQ of 500, but fails at basic questions about the web.\n\nWeb Markdown APIs drop icons, break tables and miss the JSON in the page. So your agent answers wrong, with confidence. And you can't tell whether the page didn't load or the conversion dropped it. The workaround is a full browser per page, which is slow and expensive.\n\nWe tried fixing it with heuristics. It's whack-a-mole. The rule that drops a footer deletes a company's address on one page and ships 100,000+ tokens of trash on the next.\n\n## **🚀 Expand Fetch**\n\nOne API call gets you:\n\n* **👁️ Iris:** our vision model sees the rendered page and writes frontier quality Markdown. Tables stay tables. Navigation and footers go to an appendix.\n* **🩻 X-Ray:** finds the useful JSON hidden in the page, like coordinates or flight gates.\n* **🕰️ Wayback Machine:** every fetch is a snapshot you own. Every line links back to its spot on the page.\n* **🔦 Highlights:** ask a question, get only the passages that answer it. Over 95% fewer tokens.\n\nPlus **Crawl** for whole sites and **WebSync** to follow every change.\n\n![uploaded image](/media/?type=post&id=121522&key=user_uploads/12878/bc51849e-4cb3-44e4-9301-fecce93b599f)\n\nOr paste this into your coding agent and it sets itself up:\n\n> Set up <https://expand.ai/start.md>\n\n## **📊 Benchmarks**\n\nExisting Markdown benchmarks assume a page has one main content, like reader mode. The web doesn't work like that. Iris sorts every element into preserve, prune or appendix, and on our validation set it beats Jev on F1, 92.7% to 69.6%.\n\n![uploaded image](/media/?type=post&id=121522&key=user_uploads/12878/b146a886-44d4-45de-bf32-953958a5360c)\n\nThen the test that matters. We built MDBench with our customers: 1,094 questions on 326 hard pages. Expand is also the only API we tested that returns the hidden JSON.\n\n![uploaded image](/media/?type=post&id=121522&key=user_uploads/12878/100dfebd-bfad-4abd-96cb-a4d5afb61b24)\n\n## **👶 About us**\n\nExpand is an applied research lab. We want to make the web queryable like a database, and found we first need to see it. Iris took us a year of sweat and tears. I've spent 10 years in developer tools, as founding engineer at Prisma and founder of Stellate.\n\n## **📢 Ask**\n\nIf you, or anyone you know, has struggled with the quality of web data, including for your own agents, please reach out at [tim@expand.ai](mailto:tim@expand.ai). Send me a page your agent gets wrong, and I'll show you what Expand returns.\n\nTry it at [expand.ai](http://expand.ai) with $10 in free credits, or [join the waitlist](https://expand.ai/blog/announcing-expand-fetch#waitlist) if you want to query the web like a database.",
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        "title": "Clearly AI - Your AI Trust Team",
        "tagline": "Automate security and privacy with AI that understands your software.",
        "body": "**TL;DR:** [Clearly AI](https://clearly-ai.com) continuously reviews your software for security and privacy risks. We keep your compliance paperwork up to date and escalate issues that need attention so that your engineers can focus on more critical work.\n\n### The Problem\n\n* **Burn-out:** Many companies struggle to complete in-depth security reviews due to understaffed teams. The industry average is 1 security engineer per 200 software engineers. There is an overwhelming volume of software and policies to monitor and cross-check.\n* **Fragmentation:** Today, a typical enterprise security review takes 3-4 months to complete. Most of that time is spent gathering information and filling out paperwork. Trust teams operate in silos, leading to redundant questions or delayed risk identification.\n\n### Our Solution\n\n* **Triage:** Review all designs and code for security best practices and regulatory compliance.\n  * **Raise the Ceiling:** Prioritize which applications need deeper review by security & privacy engineers.\n  * **Raise the Floor:** For the rest, perform baseline security & privacy reviews to ensure compliance.\n* **Shift Left:** Bring the collective knowledge of legal, privacy, compliance, and security teams directly to developers from the inception of their work.\n* **Continuous Monitoring:** Real-time, automated checks instead of point-in-time reviews.\n\n![uploaded image](/media/?type=post&id=82990&key=user_uploads/1848263/d98720b6-83d2-42ed-bc4b-5dae8d938410)\n\n### Our Ask\n\nReach out to us if:\n\n* Your security/privacy teams are understaffed and overwhelmed.\n* Security/privacy is critical to your customers (beyond SOC2 certification).\n* You operate across regions with varying privacy regulations, and you need to evaluate and comply.\n\n### Our Offer\n\nGive us your gnarliest security & privacy problems — we’re happy to do a [free consultation](https://calendly.com/emily-cg/security-privacy-consult) and lend our expertise back to the YC community.\n\n### Our Team\n\nEmily & Joe met five years ago while working on an Alexa security review.\n\n* [**Emily**](https://www.linkedin.com/in/emilycgreene/)**:** Senior engineer at Amazon and Moveworks, speaker at USENIX PEPR, expert in privacy-preserving machine learning, featured in the New York Times.\n* [**Joe**](https://www.linkedin.com/in/joseph-choi-cmu)**:** Senior engineer at Amazon, designed and secured spacecraft command software that now orbits Earth, automated data compliance with global regulations like GDPR and HIPAA.\n\n![uploaded image](/media/?type=post&id=82990&key=user_uploads/1848263/d75fc960-831c-41bb-b51a-2a2dc7d0015c)\n\n",
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        "location": "San Mateo, CA, US",
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        "id": 91690,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/hestus-inc/jobs/qwD5liP-machine-learning-engineer",
        "location": "San Mateo, CA, US",
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        "id": 95212,
        "title": "Hestus - AI for hardware development",
        "tagline": "Hestus helps engineers work 2.5x faster with 4x fewer clicks",
        "body": "Hi YC!\n\nThis is [Kevin](https://www.linkedin.com/in/kevin-chu-11a4511/) and [Sohrab](https://www.linkedin.com/in/sohrabhaghighat) from Hestus and we are building an AI for Hardware Design. \n\n# **TL;DR: There is no such thing like code completion for CAD, so we built it.**\n\nOur first tool, Sketch Helper, natively integrates into your CAD environment. It understands your design intent, and predicts your next move.\n\n* Makes sketching **2.5x faster**\n* Requires **4x fewer** clicks\n* Accept suggestions with a single key stroke\n* Over **1000 engineers** are already using it\n\n[**https://youtu.be/-I6IZCwt-rw**](https://youtu.be/-I6IZCwt-rw)\n\n# **Problem**\n\nMechanical engineers are fast at conceptual design but get buried in \"click-work.\"  Getting a concept ready for manufacturing takes countless, manual and error-prone clicks to assign constraints and dimensions.\n\nAs one of our users said: \n\n> Only a third of my time goes into real design work. The rest is just clicking through sketches and dimensions, and I can only click so fast. \n\n# **Solution**\n\nWe built “Sketch Helper,” a copilot for sketching in CAD. \n\nIt understands your design intent and proposes your next move, may it be adding constraints, missing dimensions, or even additional geometries to your sketch. You can preview any of the proposed changes in a red overlay and accept it with a single keystroke.\n\n![uploaded image](/media/?type=post&id=95212&key=user_uploads/295796/26c0f9a0-6a9e-43e5-abc3-aab8f5b9f773)\n\nNext, we are going to expand into full 3D and build “**Mate Helper**” and “**GD&T Helper**” to help not just with design but as well as design for manufacturing.\n\n# **The big vision**\n\nThe biggest problem in hardware is the silo between design and manufacturing, which leads to endless, costly iterations.\n\nThe push to reshore American manufacturing has hit a major bottleneck: we lack the deep bench of manufacturing experts we once had. As Tim Cook noted, the skilled tooling and manufacturing expertise is no longer concentrated here (https://youtu.be/_ng8xQ-SNGc?si=WzfP4aCJmec1lJo4&t=547).\n\nOur AI learns design intent by observing an engineer's actions in CAD. By starting with sketching, we are building the foundation model that understands why a part is designed a certain way.\n\nThis is the key to an AI that can provide real-time manufacturability feedback, bridging the gap between design and manufacturing and automating the tooling design process.\n\n# **Who we are why we are the team to crack this nut**\n\nWe’ve felt this pain firsthand. We (Kevin and Sohrab) were both early employees at Cruise. Kevin led the AV engineering team, scaling it from 20 to 300+ people. Sohrab founded the rocket company SpaceRyde (YC W19) securing millions in launch contracts and led laser tech development at Mitsubishi. We’ve built and shipped AI for self-driving cars, surgical robotics, and rocket launches. Now, we are fixing hardware development.\n\n# **Ask**\n\n* For Autodesk Fusion users: Please try [Sketch Helper](http://www.hestus.co/download). It's free and we guarantee it will make you faster.\n* For everyone else: What CAD platform do you or your team use? Reach\n\n  us out at [founders@hestus.co](mailto:founders@hestus.co). We are prioritizing our expansion based on your feedback.\n* If you are building hardware, we would love to hear about the biggest challenges that slow you down.\n\n![uploaded image](/media/?type=post&id=95212&key=user_uploads/295796/282427a7-5fd1-4532-bcf8-30182920c3a5)\n\n",
        "url": "https://www.ycombinator.com/launches/Olg-hestus-ai-for-hardware-development",
        "votes": 149,
        "created_at": "2025-11-05T23:24:26.331Z"
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    "id": 29738,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Anara is AI for scientific advancement. We help researchers find, understand and write scientific documents, together.\r\n\r\nWe started working on Anara two years ago. In that time:\r\n- we’ve grown to 3M users spanning hundreds of major colleges and research-led companies,\r\n- we are fast approaching $10M in yearly revenue,\r\n- 600M+ people have seen our content across Instagram, TikTok and YouTube,\r\n- and we raised $3M from YC and the founders of Github and Reddit.\r\n\r\nWe're a small, tight-knit team with huge ambitions. As a founding member, you'll be instrumental in helping us scale revenue from $10M to $100M and then $100M to $1B+.\r\n\r\nIf you’re excited by the idea of being a part of that, definitely reach out.",
    "one_liner": "AI for researchers",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1715615655,
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/anara.json",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/anaralabs/",
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        "full_name": "Naveed Janmohamed",
        "title": "Founder/CEO",
        "founder_bio": "Building the place where humans and AI do research work together.",
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        "linkedin_url": "https://linkedin.com/in/naveedjanmo",
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        "title": "Software Engineer, Product",
        "url": "https://www.ycombinator.com/companies/anara/jobs/gUd2wYA-software-engineer-product",
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        "type": "Full-time",
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        "id": 88145,
        "title": "Software Engineer, Backend",
        "url": "https://www.ycombinator.com/companies/anara/jobs/5bRqg4t-software-engineer-backend",
        "location": "San Francisco",
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        "title": "Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/anara/jobs/1vX8BWc-technical-product-manager",
        "location": "San Francisco",
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        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/anara/jobs/CrpqWsB-product-designer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$150K - $180K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 83362,
        "title": "Unriddle — AI research assistant for industry and academic research",
        "tagline": "Read, write and organize research papers really quickly.",
        "body": "Hey YC - [Naveed](https://twitter.com/naveedjanmo) from [Unriddle](https://www.unriddle.ai/?utm_campaign=yclaunch) here. We help industry and academic researchers read, write, and organize research papers really quickly.\n\nWe launched just over a year ago, and today, we have 1.3M users, including teams at Johns Hopkins, Stanford University, and Roche Pharmaceutical.\n\nTry it here: [unriddle.ai](https://www.unriddle.ai/?utm_campaign=yclaunch)\n\n### **Problem**\n\nUnderstanding the key themes, findings, and gaps in a field often involves sifting through hundreds of research papers. It’s a time-consuming and disorganized process.\n\nAnd when working across multiple disciplines, researchers may lack the contextual or domain knowledge needed to fully grasp a paper’s significance.\n\n![uploaded image](/media/?type=post&id=83362&key=user_uploads/1365789/20c1dfde-aa65-4195-b034-672f74d6d2d4)\n\n### **Solution**\n\nUnriddle uses language models to help researchers quickly and deeply understand papers, write literature reviews, prepare citations, and keep the entire research team on the same page.\n\nIt understands the context behind your research – synthesizing relevant findings, highlighting connections between papers, and suggesting related studies you might have missed.\n\n![uploaded image](/media/?type=post&id=83362&key=user_uploads/1365789/4a10250b-cd45-4731-bce7-5c93d3ae2322)\n\n### **Ask**\n\nIf you read or write research papers in any capacity, [try Unriddle](https://www.unriddle.ai/?utm_campaign=yclaunch) and let me know what you think at [naveed@unriddle.ai](mailto:naveed@unriddle.ai).\n\nIntros to research teams, particularly those in life sciences (e.g., biotech, pharma, and healthcare).\n\n— Naveed\n\n:)",
        "url": "https://www.ycombinator.com/launches/LgY-unriddle-ai-research-assistant-for-industry-and-academic-research",
        "votes": 53,
        "created_at": "2024-08-23T21:48:16.163Z"
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    "id": 29740,
    "name": "Redouble AI",
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    "website": "https://redouble.ai/",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "At Redouble AI we have developed Silverlake, a Java-native agentic AI operating system for enterprise. While other AI solutions force enterprise stakeholders to embrace unfamiliar concepts in an unfamiliar language, we do the opposite: we slot agentic AI right into the enterprise comfort zone - by mapping all agentic concepts onto established enterprise primitives in their own language, their own security model, their own infrastructure. It’s like moving from Bitcoin to Stablecoin, just for agentic AI. \r\n\r\nWhen we did YC we realized there was no framework or platform that gave us as enterprise and workflow automation veterans what we needed to build truly secure, reliable, and scalable agentic solutions for mission-critical workflows. That’s why we spent the past 18 months building Silverlake from the ground up. \r\n\r\nWe empower the 12 million Java engineers worldwide to write and deploy their own AI, securely, at scale. They define an agent in a few lines of code, and our platform does everything else, from orchestration to permission control, from auditability to rate limiting, from long-running agents to autonomous coordinated networks that perform the work of entire departments. \r\n\r\nSilverlake has been developed with design partners across biopharma, insurance and financial services. For example, our agentic workflows write submission-ready Clinical Study Reports that are hundreds of pages long, analyze entire datarooms full of financial and operational data for private equity investors, and automate claims processing for a large insurance player. \r\n\r\nWe are backed by Y Combinator, Exponential, Transpose Platform, Tiny VC, and the Oxford Seed Fund and advised by Java inventor James Gosling and automation guru Professor Christian Terwiesch. ",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1724701202,
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        "full_name": "Martin Bittner",
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        "founder_bio": "Martin Bittner is a serial entrepreneur in AI and automation for complex enterprise workflows. Before co-founding Redouble AI, he was the CEO of Arctoris, a successful pharma workflow automation company which he co-founded and led from inception to scale. In terms of background, Martin obtained his MD from the University of Freiburg in Germany, his DPhil in Oncology as a Rhodes scholar at the University of Oxford, and his MBA from The Wharton School. ",
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        "linkedin_url": "https://www.linkedin.com/in/marbit/ ",
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      {
        "user_id": 1959127,
        "full_name": "Andrey Santrosyan",
        "title": "Founder/CTO",
        "founder_bio": "Andrey has spent 25 years in data and software engineering across Novartis and several startups. Specializing in devising and executing holistic data and software strategies, he led the development of over 120 software, data and AI applications, contributing to the successful market introduction of seven pharmaceutical products",
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        "title": "The Workflow Control Plane: Why Identity Isn't Enough for Zero Trust Agentic Systems",
        "url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6714738",
        "date": "May 11, 2026"
      },
      {
        "title": "The Golden Five: Non-Negotiable Security Rules For Your Agentic AI",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2026/04/24/the-golden-five-non-negotiable-security-rules-for-your-agentic-ai/",
        "date": "Apr 23, 2026"
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      {
        "title": "Why GenAI Pilots Often Fail To Scale To Production",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/12/29/why-genai-pilots-often-fail-to-scale-to-production/",
        "date": "Dec 28, 2025"
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        "title": "Five Learnings To Successfully Move AI From Pilot To Production",
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      {
        "id": 101524,
        "title": "Silverlake: The Java-native agentic AI operating system for enterprise",
        "tagline": "Mapping agentic concepts onto established enterprise primitives",
        "body": "Hey YC! \n\nWe're [Martin](https://www.linkedin.com/in/marbit/) and [Andrey](https://www.linkedin.com/in/santrosyan/) from [Redouble AI](https://redouble.ai/). We have spent our entire careers in workflow automation in highly regulated industries - and just launched **the first agentic AI operating system for enterprise in Java**. \n\nOur launch video:\n\n<https://youtu.be/p2sIjfsFbHE>\n\n# ❌ **The Problem**\n\nEvery large company’s Board wants agentic AI deployed yesterday - but **the Java engineers in the enterprise who are supposed to deliver these AI solutions can’t just abandon their stack and security model and instead adopt paradigms that go against their most fundamental engineering principles**. Put differently: no enterprise Java engineer will ship production AI in Python - the cultural and engineering mismatch is too deep. In mission-critical workflows, you can’t rely on system prompts as “guardrails”, you can’t rely on only having rudimentary permission control, you can’t rely on data being moved outside of your premises. \n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/4022bdd2-26fd-4cf9-b327-9e88da4578e0)\n\n# **✅ The solution**\n\nThat is why we developed **Silverlake**, a Java-native AI operating system that **maps every single agentic concept and concern onto an established enterprise primitive**. Think of Bitcoin: it was a new technology, it was scary, and there was absolutely no way a bank would move its deposits into Bitcoin. But then, we got Stablecoins - mapping the new technology onto the familiar primitive of the US Dollar. And now, trillions of dollars are routinely being moved in Stablecoins, and it’s part of everyday finance. We do the same thing for agentic AI, slotting it right into the enterprise comfort zone.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/416be4ec-9e0c-4079-b26c-2f3895d80ce1)\n\n**For example**, agent identity is the existing identity layer, extended. Agent audit is the existing audit framework, extended. Same for orchestration, permissions, rate limiting, observability, fault tolerance. \n\nWith Silverlake **we empower the 12 million Java engineers worldwide to develop and deploy agentic solutions for their companies in a code-first platform**. They define an agent in a few lines of code, and Silverlake takes care of everything else, giving Java engineers the same granular control over their AI as they have over any other production system.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/3b4e29b9-5650-49dd-8666-3af5c376785a)\n\nIn technical terms, **Silverlake offers**:\n\n* **Deployment** in private cloud, managed cloud, on premise, hybrid or even air-gapped environments\n* Seamless **connectivity** across the entire enterprise tech stack\n* True Zero Trust, **security-first architecture** with RBAC+ABAC permissions\n* **Deterministic guardrails** enforced in code, impervious to prompt manipulation\n* **Resource management** across operations that differ by orders of magnitude (from milliseconds to minutes)\n* **Hardware and token use optimization** enabling thousands of concurrent agents even on modest hardware\n* **Incorruptible domain objects** enabling deep chains of specialized and long-running agents\n* **Full audit trails** with complete job lineage and structured reasoning on every AI decision\n* Continuously **learning from your experts while in production**\n\n# **💡 Examples**\n\nSilverlake has been **developed with design partners across biopharma, insurance and financial services**. For example, our agentic workflows write submission-ready Clinical Study Reports that are hundreds of pages long, analyze entire datarooms full of financial and operational data for private equity investors, and automate claims processing for a large insurance player, from extracting data from a faxed form to comparing against the policy in place and doing full coverage determination, benefits explanation, etc. The possibilities are endless. And as it’s all plain Java, every new deployment organically generates expansion within the organization - one engineering team automates a workflow, the team next door jumps on board, and it scales by itself from there.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/6520cdfc-89d5-4bff-94f3-604b2df11da2)\n\n# **❓Why Java?**\n\n**12 million Java engineers run the world's enterprise infrastructure**. Python is the language of data science - rightfully so - but production agentic systems have far more in common with enterprise software than with a Jupyter notebook. Same transaction management, same permission enforcement, same deployment pipelines, same monitoring - and Java has been solving these problems for 30 years. There are great Java AI frameworks out there, but none that tackle the production infrastructure challenges - resource orchestration, deterministic security, observability at scale. That's what we built with Silverlake.\n\n# **👫 The team**\n\n**We have spent our entire careers automating complex enterprise workflows**: [Martin](https://www.linkedin.com/in/marbit/) (CEO) is a Rhodes scholar, Oxford PhD, and Wharton MBA turned serial entrepreneur who previously founded and scaled a pharma workflow automation company closing millions in enterprise deals; [Andrey](https://www.linkedin.com/in/santrosyan/) (CTO) has developed more than 120 enterprise software and AI applications in a 25 year career across large enterprise and several startups. We are backed by Y Combinator, Exponential, Transpose Platform, Tiny VC, and the Oxford Seed Fund and advised by Java inventor James Gosling and automation guru Professor Christian Terwiesch. \n\nWe'd love your support - follow us, share us, work with us, or just say hi.\n\nYou can reach us at [founders@redouble.ai](mailto:founders@redouble.ai) and <https://redouble.ai>\n\n[Book a Demo](https://calendly.com/d/cqhn-9ft-kzq/redouble-ai-demo)\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/f59f68cb-20ac-49be-a0d5-aaa204ce600a)\n\n",
        "url": "https://www.ycombinator.com/launches/QPU-silverlake-the-java-native-agentic-ai-operating-system-for-enterprise",
        "votes": 10,
        "created_at": "2026-05-19T15:14:55.606Z"
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    "id": 29741,
    "name": "Dimely",
    "slug": "dimely",
    "former_names": [
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    "website": "https://dimely.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dimely helps accounting teams scale their order management & contract review workflows. Today fast-growing tech unicorns like Checkr and Airbyte get more coverage with less manual work by using Dimely’s AI agents to intelligently extract relevant details from core files like Order Forms, MSAs & POs, flag discrepancies, and then sync this information to core finance systems like NetSuite and Stripe.\r\n\r\nDimely leverages what finance and accounting teams love most, spreadsheets, for all its workflows so teams never feel out of place. Teams just replace their existing, siloed Excel spreadsheet with one that's connected and powered by AI. Teams love Dimely for its ease of use and intuitive user experience that saves them hundreds if not thousands of hours a month. ",
    "one_liner": "AI-Powered Spreadsheet for Billing Automation",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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    "founders": [
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        "full_name": "David Pang",
        "title": "Founder/CEO",
        "founder_bio": "David is co-founder and CEO of Dimely. Before Dimely, David led Business Operations at OneSignal (YCS11) where he was heavily involved with billing. He also co-founded (with Peter) SheetWhiz, a productivity tool for Sheets used by thousands of finance startup professionals every month. He began his career as a tech private equity investor at Silver Lake. He graduated summa cum laude from the Wharton School at the University of Pennsylvania where he studied finance and accounting ",
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      {
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        "full_name": "Peter Sun",
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        "founder_bio": "Peter is the co-founder and CTO of Dimely. Before Dimely, Peter was the founding Data Scientist at OneSignal (YCS11) where he built data infrastructure for billing. He co-founded (with David) SheetWhiz, a Chrome Extension that brings Excel features to Google Sheets used by thousands of finance professionals. Peter started his career at Meta where he built onboarding experiences for SMB advertisers. Peter graduated from the University of Waterloo with a degree in Electrical Engineering.",
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    "jobs": [
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        "title": "Founding Engineer - Full Stack (In Person Toronto)",
        "url": "https://www.ycombinator.com/companies/dimely/jobs/jNp9oGs-founding-engineer-full-stack-in-person-toronto",
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      {
        "id": 103832,
        "title": "🔎 SheetWhiz: The Best Way to Audit Your Google Spreadsheets",
        "tagline": "The most powerful Trace Precedents tool for Google Sheets. As AI generates more formulas, SheetWhiz helps you trace, verify, and catch mistakes before they lead to bad decisions. ",
        "body": "![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/5a9b468b-3cb9-4b3f-a355-6d7c3b5a9659)\n\n## TL;DR\n\nAI is going to generate more of your spreadsheet analysis.\n\nThat is powerful, but it creates a new problem: if AI writes the analysis, who catches the mistakes?\n\nSheetWhiz helps you audit the logic behind your spreadsheet work before you rely on it. You can trace where numbers come from, understand how formulas flow through your model, verify that calculations make sense, and catch mistakes before they lead to bad decisions.\n\nUnder the hood, SheetWhiz gives you the most powerful Trace Precedents and Trace Dependents workflow in Google Sheets, with multi-level formula tracing, step-by-step formula evaluation, and AI built into the audit flow.\n\nSheetWhiz is already used by over 10,000 professionals at some of the most productive companies in the world, including Anthropic, DoorDash, Robinhood, Chime, and GitLab.\n\nTry SheetWhiz free from the Chrome Web Store.\n\n## The Problem\n\nAI is making it easier than ever to create spreadsheet analysis.\n\nIt can write formulas, build models, summarize data, and automate workflows that used to take hours. That is a huge productivity unlock, especially for teams that live in spreadsheets.\n\nBut it also creates a new risk: people will start shipping analysis they do not fully understand.\n\nAnd even the best AI-generated spreadsheet work still needs review.\n\nWall Street Prep recently tested leading AI tools for financial modeling against investment banking standards. Even the winning tool scored only **5.7 / 10** on accuracy of data extraction, formatting, and modeling best practices, and **5.0 / 10** on quality and rigor of forecasting and model structure.\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/d615388a-d070-4bbe-8a3b-82dede469baf)\n\n_Source: [https://www.wallstreetprep.com/knowledge/ranking-the-best-ai-tools-for-financial-modeling-2026](https://www.wallstreetprep.com/knowledge/ranking-the-best-ai-tools-for-financial-modeling-2026/)_\n\nThat does not mean AI is not useful. It means AI can help generate the first draft, but humans still need to inspect the logic before relying on the output.\n\nThe dangerous part is that the final output can look credible.\n\nWhen AI generates a formula, the formula may look sophisticated. The model may look complete. The analysis may look ready to send. But unless someone can inspect the logic, trace the inputs, and explain how the number was calculated, the work is not truly understood.\n\nDon’t be the person who puts your name on analysis you cannot defend.\n\nNot when the numbers matter.\n\n## The Most Powerful Trace Precedents Workflow for Google Sheets\n\n<https://www.youtube.com/watch?v=10-XhrwDmo4>\n\nSheetWhiz is built around the spreadsheet audit workflow people actually need: select a formula, understand where it came from, inspect the logic, fix issues, and keep working.\n\nWith Trace Precedents, you can select any formula and instantly see every cell feeding into it. You can jump directly to each source cell, move through references with your keyboard, and expand the precedents of those precedent cells to trace the formula multiple levels deep.\n\nInstead of manually hunting through tabs and cell references, SheetWhiz gives you an interactive audit trail for your spreadsheet.\n\nYou can see where a number came from, what it depends on, and how it flows through the model.\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/13edeec1-e48b-4fcd-9d50-89a2fda13ec0)\n\nBut tracing cells is only the first step. The harder part is understanding what the formula is actually doing.\n\nThat is why SheetWhiz also has the Evaluates Formulas and Groups toggle.\n\nIf you are looking at a VLOOKUP, SheetWhiz can show the lookup value, the table being searched, the return column, and the exact value the function returns. Instead of manually counting columns and checking ranges, you can see the result of the lookup immediately.\n\nIf you are looking at INDEX/MATCH, SheetWhiz can break apart what MATCH is finding and what INDEX is returning. You can see which row or column was matched, which source cell was returned, and how the final result was calculated.\n\nThis matters because AI-generated formulas often look correct at a glance. They can use advanced functions, nested logic, and ranges that appear reasonable. But the only way to trust the output is to inspect what each part is doing.\n\nSheetWhiz makes that inspection fast.\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/bc42a520-8757-4429-9d96-4d528a22c9fa)\n\n## AI Built Into the Audit Workflow\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/4d36128a-3af3-4ab4-a05b-75ee1a7ae8e7)\n\nWe layered AI directly into tracing.\n\nThat does not just mean generic formula explanations. SheetWhiz has the context of your spreadsheet, the selected cell, the referenced cells, the formula being evaluated, and the surrounding model or analysis. If you’re building an LBO, SheetWhiz AI knows you’re building an LBO and will let you know whether your returns analysis is calculating correctly based on that model.\n\nIn a data analysis, SheetWhiz can explain the mechanics of the formula. If you are not familiar with VLOOKUP, INDEX/MATCH, LET, or another function, you can ask what the formula is doing, how it works, and whether anything looks off.\n\nThat is the workflow we think people need as AI writes more spreadsheet work:\n\nGenerate the work, then inspect it, understand it, and verify it before you rely on it.\n\n## Other Auditing Tools\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/4576c408-a4cb-46fe-a2f2-9cd9c2ed14fa)\n\nTrace Precedents is the core workflow, but SheetWhiz also includes other tools to help you inspect and audit spreadsheets faster.\n\nWith Trace Dependents, you can see which formulas rely on the cell you are changing. Before editing an input, assumption, or formula, you can understand what downstream calculations might be affected.\n\nSheetWhiz also helps you visualize spreadsheet structure with auto-coloring. You can color hard-coded values, formulas, and links to other tabs so it is easier to see what is going on in a model at a glance.\n\nFor example, you can quickly distinguish hardcoded assumptions from linked cells and formulas, making it easier to review a model for consistency and potential errors.\n\nThe goal is to help you catch problems before they spread through the model and become decisions.\n\n## Built for People Who Actually Work in Sheets and Slides\n\n<https://www.youtube.com/watch?v=e2vizHjWNfE>\n\nAuditing is only one part of spreadsheet work. Once you understand the model, you still need to clean it up, format it, present it, and move quickly.\n\nThat is why SheetWhiz includes over 100 spreadsheet and presentation shortcuts.\n\nFor people coming from Excel, SheetWhiz brings familiar Excel-style shortcuts into Google Sheets, including paste special, insert and delete rows or columns, autofit and set row height and column width, filters, borders, alignment, merge, freeze panes, and more.\n\nFor formatting-heavy work, SheetWhiz includes format cycling tools like number cycling, font cycling, fill color cycling, and indentation cycling.\n\nFor reporting workflows, SheetWhiz lets you export a selection as an image into Google Slides while preserving the formatting from your sheet. The image links back to the original source, so teammates can trace the screenshot back to where it came from.\n\nSheetWhiz also includes Google Slides shortcuts, so the same speed gains carry into the deck-building process.\n\nAI is useful when you want help thinking through a formula. But sometimes you do not want to type a prompt or wait for a response. You just want to move faster in the spreadsheet.\n\nSheetWhiz gives you both.\n\n## Why We Built It\n\nBefore building SheetWhiz, I worked in tech private equity at Silver Lake and later in finance and operations roles. Excel plus plugins were core to how I worked.\n\nMoving into Google Sheets meant losing speed, visibility, and accuracy, especially when auditing formulas.\n\nGoogle Sheets is great for collaboration, but it has historically lacked the formula tracing, auditing, formatting, and reporting workflows that spreadsheet-heavy teams rely on every day.\n\nNow that AI is generating more spreadsheet work, that gap matters even more.\n\nIf AI writes the analysis, the human still needs to audit it.\n\nThat is what SheetWhiz is built for.\n\n## Try SheetWhiz\n\nSheetWhiz is free to try from the Chrome Web Store.\n\nJoin over 10,000 professionals at companies like Anthropic, DoorDash, Robinhood, Chime, and GitLab, and make your Google Sheets formulas easier to trace, understand, and trust.\n\n# Dimely and SheetWhiz: Fixing Spreadsheet for Finance Teams\n\nSheetWhiz emerged alongside Dimely, our AI connected spreadsheet, as part of the same mission: making the spreadsheet experience better for finance teams. Dimely focuses on automating your billing spreadsheet work, while SheetWhiz focuses on improving the daily tooling inside Google Sheets itself. Please reach out if interested in learning more about SheetWhiz or Dimely.",
        "url": "https://www.ycombinator.com/launches/R0i-sheetwhiz-the-best-way-to-audit-your-google-spreadsheets",
        "votes": 3,
        "created_at": "2026-06-24T02:51:27.456Z"
      },
      {
        "id": 96407,
        "title": "📊 SheetWhiz: Build Better Analyses in Google Sheets Faster",
        "tagline": "The go-to finance productivity tool for Google Sheets used by the top finance teams in the world. Trace Precedents, Trace Dependents, Goal Seek, What-If Data Tables, Format Cycling, Excel and PPT shortcuts, and more inside Google Sheets and Slides.",
        "body": "![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/e1ed2019-4e60-48cf-b350-2df943369696)\n\n**TL;DR: If you miss your Excel productivity and want to be faster, more accurate, and produce more digestible models in Google Sheets, try SheetWhiz for free. Over 17,000 professionals at companies like OpenAI, Anthropic, DoorDash, and Robinhood have used SheetWhiz over 8 million times to boost their productivity in Google Sheets.**\n\nSometimes Google Sheets just doesn’t cut it.\n\nAfter working for years in private equity and learning Excel like the back of my hand, the transition to startup finance and ops, where I had to use Google Sheets (on a MacBook to boot!), was incredibly painful. SheetWhiz fixes this so you don’t have to go through the pain I went through.\n\nSince launching SheetWhiz, it’s become the go-to spreadsheet tool for finance teams working in Google Sheets. It’s what finance teams at top tech companies use to move faster and with greater accuracy.\n\nTry the SheetWhiz Chrome extension today with a 21-day free trial and a free forever plan. Visit[ www.sheetwhiz.com](http://www.sheetwhiz.com) and click “Get Chrome Extension” to install the tool.\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/728a0634-015c-4c0b-82cf-d12253995391)\n\n## The Problem\n\n3 billion people use Google Workspace each month and hundreds of millions use Google Sheets in their everyday work. Finance teams are increasingly moving work into Google Sheets because it comes free with Google Workspace, and it’s easier to aggregate data and collaborate in Sheets than in Excel.\n\nThe problem? Google Sheets lacks proper tooling for finance teams to streamline their work. As this move to Sheets picks up speed, finance teams are often forced to download files into Excel to complete the work, then re-upload them back into Drive to share once complete.\n\nIt also doesn’t help that Excel, over the last 40+ years, has built massive market share in finance with a community of finance educators and tooling, while Google Sheets has focused more on the data analyst and lacks many education touch points that would drive adoption by finance teams. It’s especially frustrating for finance teams, many of whom have Excel training, to lose access to the features and functionality they’re used to.\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/4cc48523-66f5-4f44-94f9-e6d11669d2fb)\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/2974b490-9222-489a-badf-0cd2a341788c)\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/006affdb-e543-48e8-920a-f614f741080d)\n\nMissing features include:\n\n* A robust way to trace precedent and dependent cells\n* An easy What-If suite with tools like Goal Seek and Data Tables\n* Fast formatting tools and shortcuts\n* Exporting into other systems while maintaining formatting\n\nWithout these workflows, teams move slower, data quality checks take longer, and spreadsheet output hygiene suffers, with key stakeholders having to work harder to digest takeaways.\n\nBefore SheetWhiz, I worked in tech private equity at Silver Lake and later in finance and operations roles. Excel plus plugins were core to how I worked. Moving into Google Sheets meant losing speed, visibility, and accuracy. I searched for a fix and couldn’t find anything close. As my cofounder Peter observed my constant complaining, we decided to build the tool I wanted and use every single day.\n\n## Our Solution\n\nDemo video: <https://www.youtube.com/watch?v=e2vizHjWNfE&t>\n\nSheetWhiz brings Excel’s most important auditing, scenario analysis, and formatting tools directly into Google Sheets, all triggered by shortcuts you can customize.\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/25d7badc-b113-4750-8dc1-90905824ee17)\n\n### Current capabilities include:\n\n**Audit and accuracy**\n\n* Trace Precedents\n* Trace Dependents\n* Auto-Color Hardcodes and Links to Other Tabs\n\n**Driver and sensitivity tools**\n\n* Goal Seek\n* What-If Data Tables\n\n**Advanced formatting**\n\n* Number Cycle\n* Font Cycle\n* Fill Color Cycling\n* Indentation Cycle (yes, you can indent in Sheets!)\n\n**Excel formatting shortcuts**\n\n* Paste Special (Alt + E + S)\n* Insert/Delete Columns and Rows (Ctrl + Shift + Plus/Minus)\n* Border shortcuts\n* Add/Remove Gridlines (Alt + E + V + G)\n* Set or Auto-Fit Column Width and Rows Height\n* Add/Remove Filters (Ctrl + Shift + L) and Open Filter Dropdown (Alt + Down Arrow)\n* Alignment shortcuts\n* Merge shortcuts\n* Freeze/Unfreeze shortcuts\n\n**PowerPoint formatting shortcuts**\n\n* Alignment shortcuts\n* Text alignment shortcuts\n* Distribute shortcuts\n* Grouping shortcuts\n\n**Reporting**\n\n* Export selections as clean images for pasting into other programs like Google Slides and Slack\n\n### What finance teams use SheetWhiz for:\n\n* Understand and debug models in seconds\n* Build sensitivities\n* Maintain cleaner spreadsheets faster\n* Avoid formula breakage\n* Export reporting visuals for leadership decks\n\nIf you work in Google Sheets, we would love for you to try SheetWhiz and share feedback on what to build next.\n\nTry it free for 21 days at[ www.sheetwhiz.com](http://www.sheetwhiz.com) (click “Get Chrome Extension)\n\n# Dimely and SheetWhiz: Fixing Spreadsheet for Finance Teams\n\nSheetWhiz emerged alongside Dimely, our AI connected spreadsheet, as part of the same mission: making the spreadsheet experience better for finance teams. Dimely focuses on automating your billing spreadsheet work, while SheetWhiz focuses on improving the daily tooling inside Google Sheets itself. Please reach out if interested in learning more about SheetWhiz or Dimely.",
        "url": "https://www.ycombinator.com/launches/P4x-sheetwhiz-build-better-analyses-in-google-sheets-faster",
        "votes": 16,
        "created_at": "2025-12-27T15:41:41.501Z"
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      {
        "id": 82959,
        "title": "Dimely 🪙 - AI Agents for B2B SaaS Finance teams",
        "tagline": "Save hundreds of hours every month automating manual finance tasks.",
        "body": "**TL;DR: **[**Dimely**](https://dimely.co/)** automates and brings visibility to time-consuming, error-prone finance workflows so teams can stay lean, audit-ready, and fully informed. We integrate seamlessly with your existing tech stack — no rip-and-replace needed — so you start seeing results on Day 1.**\n\n👋 Hi all - we’re [David](https://www.linkedin.com/in/davidnpang/) and [Peter,](https://www.linkedin.com/in/p2sun/) and we’re on a mission to save finance teams countless hours of tedious, manual work. After logging countless hours on billing tasks in our previous roles, we decided to build the AI agents we wish we had. Dimely handles the mundane chores, maintains a proper data trail, and keeps a human-in-the-loop to ensure **100% accuracy** and **audit readiness**.\n\n![uploaded image](/media/?type=post&id=82959&key=user_uploads/993872/06c793df-f448-42bf-b06a-4bdda1bb6ce1)\n\n# **❌ Problem: Billing for B2B SaaS is manual and error-prone**\n\nThis is because:\n\n* **Contracts are complex.** Contracts have multiple SKUs, payment schedules, pricing models, and billing metrics\n* **Contracts are unstructured.** Terms are often bespoke and written in by sales teams trying to close deals\n* **Data lives in different places.** Usage-based pricing models in particular, require matching contract data in your CRM with usage data from your data warehouse that is not always accurate or structured in a way that works well for billing \n* **Finance needs are deprioritized.** Engineering typically prioritizes product building and deprioritizes finance initiatives\n* **High finance tech debt.** Billing systems that work early on remain in place for too long because it takes 5+ months to migrate to another system, resulting in a high number of manual workarounds, typically in spreadsheets\n\n# **🏁 Solution: Comprehensive, AI-driven platform to automate and bring visibility to complex finance processes.**\n\nThis is where [Dimely](https://dimely.co/) comes in. We take the tasks that take the most time and automate them while keeping you in the loop. Dimely’s primary areas of focus are:\n\n**✅** Converting contracts to invoices\n\n**✅** Reconciling invoices, contracts, entitlements, and payments\n\n**✅** Calculating overages and invoicing customers (via your billing solution)\n\n**✅** Setting up proper revenue recognition\n\nWhat makes Dimely unique: \n\n* **High time to value.** We integrate within your existing workflows - no need to rip and replace anything\n* **No engineers required.** Set up Dimely through our UI and with natural language\n* **Flexible.** We know billing is heterogeneous, and various companies do things differently. Dimely’s AI copilot understands its workflows and won’t break if something unusual comes up\n\n# **🎇 How it Works:**\n\nHere’s a short demo of a fairly simple but time-consuming workflow where Dimely can assist: creating invoices in your billing solution based on signed contracts\n\n<https://youtu.be/KtA8IlxfVTo>\n\n# **📢 Our Ask:**\n\n* Let us know if you know anyone spending significant time with billing. Specifically, Heads of Finance and Controllers at B2B SaaS startups. We’d love to [chat](https://calendly.com/david-pang-calendar/30min)\n* Follow us on [LinkedIn](https://linkedin.com/company/usedimely) - we have some pretty good content!",
        "url": "https://www.ycombinator.com/launches/La3-dimely-ai-agents-for-b2b-saas-finance-teams",
        "votes": 57,
        "created_at": "2024-08-12T22:42:11.571Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sharpe helps traders go from idea to profit in minutes with AI, bundling petabytes of market data with high-performance infrastructure.",
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        "full_name": "Vivek Hazari",
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        "founder_bio": "Vivek is a co-founder of Sharpe. Vivek spent 2 years at Palantir Technologies, where he worked across the commercial business, and later help found and lead a team to aid the development of AIP. He studied Computer Science and Philosophy at Dartmouth College, where he did research on applications of language models.",
        "is_active": true,
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        "full_name": "Daniel DiPietro",
        "title": "Founder",
        "founder_bio": "Dan is the co-founder of Sharpe. Previously, Dan worked at Jane Street, where he built capital allocation optimizations used in production to invest billions of dollars of assets, as well as an options tool used to execute >$100m of trades annually. He has published multiple first-author publications in high-impact venues like NeurIPS and CoRL. Dan moonlights as a botanist and published a best-selling botanical textbook on carnivorous plants while studying at Dartmouth College.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-dipietro/",
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        "full_name": "John McCambridge",
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        "founder_bio": "CTO of Sharpe & former high-frequency trading engineer - I like to fly (and jump from) small aircraft, build rockets with kitchen chemicals, visit vulnerable endpoints, and play poker - Born in New Zealand, raised in Scottish Highlands.",
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    "launches": [
      {
        "id": 91284,
        "title": "Solar: An infinite canvas for vibe-coding production apps",
        "tagline": "We build the most complicated full-stack apps, faster than anywhere else.",
        "body": "## TL;DR\n\nSolar lets small teams collaborate with AI agents to build and deploy production apps in minutes. Like Figma, but no mockups—just real software with live data and backend Python functionality. Built by our full-stack AI agent, powered by your imagination.\n\nhttps://youtu.be/Gl03z0M8BWk\n\n## Why this, and why us?\n\nHi everyone! We’re Vivek, Dan, John, and Ziray: the team behind [Lumenary](http://www.lumenary.com). We met each other during our first few weeks at Dartmouth and have been best friends ever since. We’ve lived together, worked together, traveled the world together, and have even summited some notable peaks together (don’t ask about Mount Shasta).\n\nOur team brings together engineering from Palantir, Jane Street, IMC Trading, and Flatiron Health. We’ve built enterprise-grade AI products, a capital allocation system that controls billions, a data engine that processes petabytes–we _all_ build and deploy software _quickly_ in contexts _where it cannot fail_.\n\nSolar began as an internal tool that we used to ship enterprise demos faster than any tool on the market. We decided to productize and focus on Solar completely.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/0e7139b1-e4ab-4818-b5c5-040e6c1e6d37)\n\n## The Problem\n\nWe’re a team of four engineers who’ve used nearly every AI-powered app builder. Projects started off great, but we found ourselves in an endless loop of “revert, and try again.” Most of our time was spent waiting and hoping as the LLM made changes one-at-a-time.\n\nEven when the app seemed to work, it was unclear what were real features versus frontend demoware. We lacked an understanding of the architecture, dataflow, and what vulnerabilities were left open. It felt like these platforms had prioritized making neat frontends and bolted on real functionality as an afterthought.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/f231fdfb-a63c-4006-a269-db8dd2df2376)\n\n## What we do\n\nWe loved three things:\n\n* Figma’s flexibility — work on many designs with many people\n* Cursor’s power — write production code with LLMs\n* Retool’s safety — ship apps that you know work\n\nWe combined those to make Solar.\n\nSolar’s AI agents collaborate alongside you on a multiplayer canvas. You can see the relationships and data flow between database tables, backend Python logic, and frontend pages.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/12b01a63-bcd6-430d-bb33-4b274d542423)\n\nSolar makes apps production-worthy by combining LLM-generated code with deterministic code generation for databases, services, and authentication. This makes your apps maintainable and deployable past the MVP, and able to integrate nicely with existing infrastructure.\n\nWe’re the most agentic platform on the market: Solar will read logs, interact with your application, and work for minutes or even hours unattended to get it perfect.\n\n## Our Ask\n\nSign up at https://solarapp.dev and try building an app.",
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        "votes": 27,
        "created_at": "2025-06-13T15:20:00.950Z"
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    "id": 29746,
    "name": "Drillbit",
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    "one_liner": "Automating Office Work for Residential Contractors.",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
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    "tags": [
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    "batch": "Summer 2024",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Across the United States, we spend $700B/year on maintaining homes. Half the cost of any given home service is attributed to compensating the work it took just to coordinate that job. We believe that can and should be solved for. Owners need to (and prefer to) remain focused on “the real work” instead of non-value driving efforts. Businesses in this industry provide an essential service to our economy - they maintain our supply of housing - but they are operated in an incredibly manual and wasteful way. We solve that with AI receptionists that can coordinate with each of the parties at every stage in the process. The receptionists can then work with our AI estimators to provide quotes, and together they can use our CRM, project management, and payment solutions to store updates and take action throughout the process."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "There are many elements that contribute to the inflated cost of housing and they impact everyone from the homeless, to renters, to homeowners, and investors. An often-overlooked contributor to this cost is the high opEx in owning and maintaining a home. The most wasteful element of that expenditure is not materials or labor - it is compensating businesses for their administrative work (finding, quoting, managing, and coordinating jobs). My dream is to cut out those inefficiencies by bringing true automation to the home service industry. In doing so, we as a society can take a step towards better, more accessible housing."
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    ],
    "url": "https://www.ycombinator.com/companies/drillbit",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/drillbit.json",
    "year_founded": 2023,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/drillbit-ai",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1549700,
        "full_name": "Alexander Seutin",
        "title": "Founder/CEO",
        "founder_bio": "Alex graduated from Stanford with a degree in CS & AI. After school, he worked as an engineer at SpaceX, Apple, Rivian, and Built Robotics. Alex is passionate about affordable housing, and after years of doing construction on the side, he merged his passions and started Drillbit. His company seeks to optimize and scale home service businesses through automating their operational & administrative workflows.",
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        "linkedin_url": "https://www.linkedin.com/in/aseutin",
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        "id": 85660,
        "title": "Software Engineer, Product",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/kViPFgN-software-engineer-product",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $190K",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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      },
      {
        "id": 85663,
        "title": "Staff Software Engineer, AI ",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/2wuqVrc-staff-software-engineer-ai",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $300K",
        "equity_range": "0.15% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "TypeScript",
          "Distributed Systems",
          "Software Architecture",
          "Serverless",
          "Design systems",
          "Next.js"
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      },
      {
        "id": 85666,
        "title": "Operations Lead (Manager)",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/W3NauY3-operations-lead-manager",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $175K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "SQL",
          "Data Modeling",
          "Data Analytics"
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      },
      {
        "id": 85883,
        "title": "Business Operations Analyst",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/PZYk15f-business-operations-analyst",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$75K - $90K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "Torch/PyTorch",
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    "launches": [
      {
        "id": 82558,
        "title": "Drillbit 🧰 Handling office work for residential contractors",
        "tagline": "Your contractor's AI-powered back office.",
        "body": "### **\\~TLDR\\~**\n\nResidential contractors are drowning in office work that has nothing to do with their core business. [**Drillbit**](https://www.drillbit.com) automates all of it. We use AI receptionists and an LLM based quoting tool on top of our own CRM to entirely manage jobs from lead, to quote, to scheduling, to staffing, and finally payment.\n\n![uploaded image](/media/?type=post&id=82558&key=user_uploads/1549700/acbc535d-4709-4176-a54f-8fe50c23a170)\n\n### **Problem🚨**\n\nResidential contractors provide a critical service to our economy: building and maintaining the supply of housing. Unfortunately, those businesses are still operated in an incredibly manual way. Across the U.S., we spend about $675B/year on simple home maintenance. A significant portion of that cost is attributed to the office work involved with finding, coordinating, and managing those small jobs. Business owners need to (and prefer to) remain focused on the real work instead of non-value-driving efforts.\n\n### **Solution 🏗️**\n\n[**Drillbit**](https://www.drillbit.com) allows contractors to be entirely hands-off, enabling them to focus 100% of their time on their core business. We have built AI receptionists that can coordinate with businesses and homeowners at every stage in the process. The receptionists then work with our AI estimators to provide quotes. Together, they are able to use our CRM, project management, and payment solutions to store updates and take action throughout the process.\n\n### **Landscape ⛰️**\n\nPlatforms that have come before us were able to move service business operations from texting and emailing over to CRMs and project management solutions, but they suffer from massive churn rates. Owners we have spoken with have consistently voiced the feeling that they were “babysitting” the tool. All of that “homework” they had to do entirely undermined the value of the solution in their eyes, and so, most users would abandon the platform. Rather than expecting our users to change their behavior - ie. start using technology that they would rather not be interacting with - we have met them where they are by handling the job coordination in a way that feels familiar to them: offering the ability to talk to your “employees” on the phone like you would a real person, and having those “employees” be able to engage with homeowners over the phone like real people would too.\n\n### **Team 👷👷‍♂️**\n\n[**Alex**](https://www.linkedin.com/in/aseutin) (Stanford CS / AI) spent the first part of his career developing applied AI solutions at SpaceX, Apple, and Rivian. After some time developing robots for industrial construction projects, Alex found a passion for hands-on work and spent a few years renovating old homes and airstreams. During that time, Alex became intimately familiar with the pain points in the construction and home service industries and realized how much of a need there was for better, more automated software. At that point, he decided to merge his passions and set out to build [**Drillbit**](https://www.drillbit.com) to support the folks maintaining America's housing.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82558&key=user_uploads/1549700/69e0cd13-9458-4048-b7b6-62938dffa061)\n\n### **Ask 🙏**\n\nThe platform has been built, and now we are looking to drive revenue. If you know of any business owners in the industry (plumbers, electricians, house cleaners, lawn care providers, landscapers, tilers, roofers, etc) please introduce us at [**alex@drillbit.com**](mailto:alex@drillbit.com) 🙂\n\n### **Links 🔗**\n\nIn the meantime, we’d love it if you followed our journey:\n\n* [**Company LinkedIn Page**](https://www.linkedin.com/company/98805941/)\n* [**Alex’s LinkedIn Page**](https://www.linkedin.com/in/aseutin/)\n\n& finally, check out our website!\n\n[**https://www.drillbit.com**](https://www.drillbit.com/)\n\nDemo Video:\n\n[**https://youtu.be/bTIP5pk-Ldo**](https://youtu.be/bTIP5pk-Ldo)",
        "url": "https://www.ycombinator.com/launches/LTa-drillbit-handling-office-work-for-residential-contractors",
        "votes": 40,
        "created_at": "2024-07-30T16:16:25.234Z"
      }
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  {
    "id": 29748,
    "name": "Titanio",
    "slug": "titanio",
    "former_names": [
      "Talk To Users AI",
      "Seals AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b929e31ab64052ab433ff5445d5704e41934381.png",
    "website": "https://www.titanio.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Titanio is a suite of AI Employees for Wholesalers & Distributors. Instead of relying on humans to quote, take orders, collect payments, place purchase orders and enter data into ERPs. We build AI Employees that do these manual repetitive tasks for the 700k wholesalers in the US.\r\n\r\nWe’re a team of three Computer Science majors, and Fernando launched and grew AT&T in Mexico to $120M ARR. Previously, we all worked together at our last YC-backed startup, building it to over $6M in revenue. It was there that we placed thousands of purchase orders with wholesalers.\r\n\r\nWe realized that almost every physical product comes from B2B sales in the supply chain. However, it turns out that most of these operations are still done manually through phone and email, involving tasks like quoting, taking orders, collecting payments, entering data into ERPs, and providing support. By automating these tasks with AI agents in a human-like manner, we are creating a massive opportunity to convert $100B of payroll expenses into software spending.\r\n",
    "one_liner": "AI Employees for Distributors",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1725683549,
    "tags": [
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      "B2B",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
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      "America / Canada",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/titanio",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/titanio.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 371540,
        "full_name": "Luis Mario Garcia",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Titanio (S24) AI Employees for Wholesalers & Distributors\n\nI am a second-time founder who built a another YC-backed (W20) grocery delivery startup and grew it to $6.3M in revenue and 30K customers. I designed all the software, including Driver, Consumer, and Warehouse Apps. I was in founder mode acquiring customers, operating warehouses, launching cities, recruiting engineers, and fundraising. I personally delivered 1,000 orders to talk to users and build the product.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luismariogarcia/",
        "x_url": "https://x.com/luismariogm",
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      {
        "user_id": 639470,
        "full_name": "Heber Garza",
        "title": "Founder",
        "founder_bio": "Computer Science graduate. I am the founder & CTO of several venture-backed startups, including enterprise-grade software products. I have been writing code for the past 18 years. Before joining Seals, I led engineering at a YC-backed startup, scaling the software to 30,000 customers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/huriegas",
        "x_url": "https://twitter.com/heberuriegas",
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      {
        "user_id": 383933,
        "full_name": "Javier Gonzalez",
        "title": "Founder/CTO",
        "founder_bio": "Computer Science graduate. I have been coding since I was 12 years old. At my first company, I built an app that reached 500,000 users by myself. I am a second-time YC-backed founder who built and scaled four complex software apps, think of the DoorDash stack.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/javiergzz/",
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      {
        "user_id": 1993715,
        "full_name": "Fernando Huerta",
        "title": "Founder",
        "founder_bio": "I love technology because it is the bicycle of the mind. During my life, I have had the opportunity to:\n1. Get a Computer Science degree and make the first internet connection in LATAM in 1989.\n2. Launch AT&T in Mexico and grow it from $0 to $120M ARR as Marketing-Sales Director.\n3. Deliver 300K grocery orders to 30k customers at Orchata a YC-backed (W20) startup.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/fernando-huerta-zuniga/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/89a2ee1e362195256c890a18545cd75913202917.jpg"
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    "launches": [
      {
        "id": 83965,
        "title": "Seals AI - AI Employees for Wholesalers & Distributors.",
        "tagline": "We build AI Employees that do manual repetitive tasks for the 700k wholesalers in the US. ",
        "body": "**Summary**\n\n* Instead of relying on humans to quote, take orders, collect payments, and enter data into ERPs, we build AI Employees that handle these manual repetitive tasks for the 700k wholesalers in the US. \n* Team of second-time YC founders, three Computer Science majors. \n* Massive opportunity to convert $100 billion of payroll expenses into software spending.\n\n**Team**\n\nWe’re [Luis Mario](https://www.linkedin.com/in/luismariogarcia/), [Javier](https://www.linkedin.com/in/javiergzz/), [Heber](https://www.linkedin.com/in/huriegas/), and [Fernando,](https://www.linkedin.com/in/fernando-huerta-zuniga/) a team of second-time YC founders, three CS majors, and Fer launched and grew AT&T in Mexico to $120M ARR. We all worked together at our last YC-backed startup, building it to over $6M in revenue. It was there that we placed thousands of purchase orders with wholesalers.\n\n![uploaded image](/media/?type=post&id=83965&key=user_uploads/371540/8ff71efc-5a31-4f0d-b051-c9fec86759f6)\n\n**Problem** \n\nWholesalers and distributors operate manually with human reps who use phone calls and emails to quote, place purchase orders, collect payments, enter data into ERPs, and provide support. We experienced this problem every day at our last company and realized that almost every physical product comes from B2B sales in the supply chain.\n\n**Solution**\n\n![uploaded image](/media/?type=post&id=83965&key=user_uploads/371540/8aef507d-4518-4424-b34f-3c6c6f22a6ee)\n\nAI Agents that help wholesalers make more money by communicating in a human-like manner via phone, email, text, and WhatsApp 24/7. They handle tasks such as quoting, order taking, support, data entry into ERP systems, payment collections, and document processing.\n\n<https://youtu.be/yuCP74Q0beo>\n\n**By automating these tasks, we are creating a massive opportunity to convert $100 billion of payroll expenses into software spending.**\n\n**The Ask**\n\n* We would appreciate intros to wholesalers or distributors to [founders@hireseals.ai](mailto:founders@hireseals.ai) or [demo requests here](https://www.hireseals.ai/contact)! \n* Follow us on [X](https://x.com/luismariogm)",
        "url": "https://www.ycombinator.com/launches/LqH-seals-ai-ai-employees-for-wholesalers-distributors",
        "votes": 578,
        "created_at": "2024-09-11T22:40:33.501Z"
      }
    ]
  },
  {
    "id": 29750,
    "name": "winfunc",
    "slug": "winfunc",
    "former_names": [
      "Stition",
      "Asterisk"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/758cce64094ba9a7250a8b613b368074620a74f5.png",
    "website": "https://winfunc.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Winfunc (winfunc.com) is an AI Hacker that autonomously finds, verifies, and patches security vulnerabilities in codebases, just like a human security engineer would. \r\n\r\nWinfunc can find business logic errors with context-aware scanning and automate the full auditing cycle to generate reports with zero false positives.\r\n\r\nWinfunc's agent has found vulnerabilities in Google, Supabase, Sentry, Cal, Gumroad, Bun, Hoppscotch, etc.",
    "one_liner": "ai-native security engineering for mission critical codebases",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1723094847,
    "tags": [
      "SaaS",
      "B2B",
      "Security",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Security"
    ],
    "regions": [
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      "America / Canada"
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        "full_name": "Vivek R",
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        "title": "Asterisk: AI-automated Security team",
        "tagline": "Automatically find, exploit, and patch security vulnerabilities across your digital assets with zero false positives.",
        "body": "**TL;DR**: [Asterisk](https://asterisk.so/) is an AI “hacker” with the ability to find, exploit, and patch security loopholes across your digital assets. It does all of this with no user intervention and generates a report with zero false positives. ([example](https://demo.asterisk.so/?report_id=776e01e4-22a2-44bd-afc5-229ec115e1b1))\n\n![uploaded image](/media/?type=post&id=82844&key=user_uploads/629782/0cd6877d-6d46-4428-ae29-236edb91393e)\n\n# **The Problem**\n\n* Almost 95% of potential vulnerabilities raised by static security tools (SAST) are **false positives**, and security engineers spend a lot of time filtering them out.\n* Current security tech **cannot detect business logic bugs** - think of vulnerabilities like unauthorized access, privilege escalation, and bugs that would rack up your AWS/API bills.\n\n# **Solution**\n\n* **Verification:** Asterisk verifies a vulnerability by spinning up a sandbox, running the software being scanned, and attempts to exploit the bug. If Asterisk flags a vulnerability, you can be sure it's real.\n* **Context-aware Threat Modeling:** Asterisk understands your codebase and can thus emulate a malicious hacker by coming up with attack scenarios, like the recent CrowdStrike incident.\n\n# **Our Team**\n\nWe are [Mufeed](https://www.linkedin.com/in/mufeed-vh/), [Asjid](https://www.linkedin.com/in/asjidkalam/) and [Vivek](https://www.linkedin.com/in/123vivekr/). All of us have a background in security research and systems engineering.\n\n![uploaded image](/media/?type=post&id=82844&key=user_uploads/629782/4120e7a5-43bf-4fa1-9352-699f902b32c9)\n\n**Mufeed**: represented 🇮🇳 at WorldSkills CTF, 🥇 medalist - IndiaSkills CTF, 🥉 medalist - BRICS Skills CTF\n\n**Asjid**: 🥈 medalist - IndiaSkills, ex-security research engineer at Emirates National Bank (UAE)\n\n**Vivek**: ex-distributed systems/platforms engineer at Chorus One (one of the biggest POS validators)\n\nOur team has helped secure Google, Mastercard, Okta, Nvidia, Microsoft, etc. We are also the team behind [Devika,](https://github.com/stitionai/devika) the open-source alternative to Devin with over 18K stars on GitHub.\n\n# **Our Ask**\n\nIf you're looking for a **complete security audit** of your digital assets or want to talk about anything security, email us ([hello@asterisk.so](mailto:hello@asterisk.so)) or book a demo ([asterisk.so/demo](http://asterisk.so/demo)).",
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        "title": "Opslane – Making on-call suck less",
        "tagline": "We reduce alert fatigue for on-call teams.",
        "body": "**TL;DR**\n\nOur [Slack bot](https://github.com/opslane/opslane) classifies your Datadog alerts and flags noisy alerts, reducing alert fatigue.\n\nAdditionally, we generate insights based on all your alerts to give you a picture of your overall alert hygiene.\n\n### The Problem\n\n**Picture this:** It's 3AM, and you're woken up by a page. It's an error you've seen before, and you know it wasn't worth waking up for.\n\nAnyone who's been on-call knows the infamous middle-of-the-night unactionable alert all too well.\n\nEven with modern tools, it's still tough to determine when something has actually gone wrong, the user impact, and how to fix it quickly.\n\n**Why are existing solutions not cutting it?**\n\n* Lack of context - it's really hard to understand the customer and business impact from looking at an alert.\n* Alerts are noisy and not actionable.\n* Debugging requires context switching between multiple siloed tools.\n\n### Our solution\n\nWe're starting with our open source Slack bot that reduces alert noise.\n\nOnce you add our bot to your Slack channel, we pull your alert history from Datadog.\n\nWe analyze your alert history across various parameters:\n\n* Alert frequency\n* How quickly have the alerts resolved in the past\n* Alert priority\n* Alert response history\n\nBased on these, we classify your alert as actionable or noisy.\n\n![User-uploaded](https://slabstatic.com/prod/uploads/s97i19pj/posts/images/6P01k6pFnPq5repaabLC5_-G.png)\n\nIn addition, we generate a report on your team's overall alert health, pinpointing which noisy alerts are prime candidates for tuning or disabling.\n\n![User-uploaded](https://slabstatic.com/prod/uploads/s97i19pj/posts/images/1e4X0_iAo7eLJh7PLEo1oZoS.png)\n\nOur vision is to stitch together all the relevant context engineers need to debug incidents in one place and automate root cause analysis.\n\n### Team\n\n![uploaded image](/media/?type=post&id=82453&key=user_uploads/6530/ba62e789-6ccf-4b5c-a555-90e5c932d81c)\n\nWe ([Amaresh](https://linkedin.com/in/amareshray/) and [Abhishek](https://linkedin.com/in/abhishek-ray-29210145)) have firsthand experience dealing with the challenges of on-call and alert fatigue at companies like Robinhood and Atlassian. With Opslane, we’re reducing the alert fatigue that overwhelms on-call engineers and leads to millions in lost productivity and downtime.\n\n### Ask\n\n🔥 Are noisy alerts a hair-on-fire problem for your company or someone you know? We'd love to hear from you - email [founders@opslane.com](mailto:founders@opslane.com) or [schedule a call](https://cal.com/team/opslane/demo) with us.\n\n⭐ Please star us on Github: <https://github.com/opslane/opslane>",
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        "full_name": "Penny Chen",
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        "full_name": "Chris Le",
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        "title": "Pax Raises $4.5M to Transform Duty Drawback | Pax AI",
        "url": "https://www.paxai.com/blog/seed-round",
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        "id": 82827,
        "title": "Pax AI - TurboTax for Import Duty Rebate",
        "tagline": "We make import duty rebates a few clicks away, not months, with AI.",
        "body": "TL;DR - Billions of dollars paid on import duties are eligible for return every year, but the claim process is costly and time-consuming. That’s where Pax comes in. We turn complex regulations into algorithms, so importers of all sizes can reclaim the money that's rightfully theirs effortlessly. **We can give sub $50m sales ecommerce brands 3-5% back on their sales**.\n\nHi everyone, we’re Penny and Chris, aka the team behind [Pax](https://www.getpaxai.com/).\n\n![uploaded image](/media/?type=post&id=82827&key=user_uploads/628376/ecb63d9f-1c1a-44f0-9918-ea5377851bdb)\n\n🧠 [Penny](https://www.linkedin.com/in/pennypinyichen/): 8+ years in research, built algorithms for supply chain and logistics @ Flexport, Amazon & MIT. Chat with me about #optimization #sauna #Taiwan.\n\n🎯 [Chris](https://linkedin.com/in/ctle): 6+ years in software engineering, built financial systems and supply chain solutions @ Amazon, Brex & TikTok. Chat with me about #boxing #meditation #Vancouver. \n\n# Problem\n\nU.S. companies spend over $100 billion annually on import taxes. The good news is that Duty Drawback—a tax refund program—lets companies reclaim that cash! Astonishingly, $10 billion (80% of eligible refunds) goes unclaimed each year. Why? The process is a real headache.\n\nToday, dealing with the government and customs brokerages takes months, as they take 10-20% of the refund and refuse to work on claims under $100k. As a result, only large enterprises file drawbacks, leaving smaller businesses out in the cold. With trade wars heating up, duty drawbacks are more important than ever—new rules like Tariff 301 include an additional 25%- 100% duty on $50 billion of Chinese goods. It’s time to make the process simple and accessible!\n\n# Solution\n\nPax creates a [**TurboTax-like experience**](https://youtu.be/UkJRXpiqLTo?si=J_b6BbnXw9erlv-9), requiring no duty drawback expertise. Our product uses AI to handle the heavy lifting of collecting, extracting, and validating data and maximizes claim amounts with optimization algorithms. Pax democratizes duty drawback, enabling importers of all sizes to recover money that is rightfully theirs.\n\nUsing Pax, companies:\n\n* Save hundreds of hours dealing with manual data entry.\n* Reclaim millions of dollars spent on import duties.\n* Full in-suite dashboard and analytic reporting.\n\n😀 **Ask**: If you or any companies you know import goods into the U.S. (e.g., retailers like Nike or manufacturers like Zero Motorcycles) or customs brokerages, we’d love to chat! Please reach us at [founders@getpaxai.com](mailto:founders@getpaxai.com)! ",
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    "long_description": "You can think of Stempad as a Notion for science. It is the world's first true pen-and-paper alternative to fast scientific writing and collaborating. Quickly switch between different forms of technical visualization with the ease of a whiteboard and the convenience of your keyboard.\r\n\r\nStempad allows you to share your work, collaborate in real time, store your data, annotate, write papers, plan, takes notes, create presentations, and so much more. Our vision is to make it easier and faster for students and scientists to digitize and share their scientific ideas.",
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        "full_name": "Ralph Rouhana",
        "title": "Founder/CEO",
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        "title": "Y Combinator backed Stempad takes on scientific note-taking",
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        "date": "Jul 29, 2024"
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        "title": "Stempad: The UW-born tool that’s changing STEM note-taking, backed by Y Combinator investors | Imprint",
        "url": "https://uwimprint.ca/article/stempad-the-uw-born-tool-thats-changing-stem-note-taking-backed-by-y-combinator-investors",
        "date": "May 22, 2024"
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        "id": 81908,
        "title": "Stempad: Scientific writing at the speed of thought",
        "tagline": "Take scientific notes, write papers, create exams, collaborate, share your work, and more.",
        "body": "**_Tl;dr:_** Stempad is an online editor and platform that streamlines writing and sharing scientific documents fast. Take notes, write research papers, create and conduct exams, collaborate in real-time, share your work with the world, and more. [_Try it out today._](https://www.stempad.io)\n\n![uploaded image](/media/?type=post&id=81908&key=user_uploads/1948635/e57ce43e-844e-47d0-976e-134291cca342)\n\nHi everyone, I’m [Ralph](https://www.linkedin.com/in/ralph-rouhana)! I’m on a mission to improve the way teachers, students, and scientists document and share their ideas.\n\n# **The Problem**\n\nHandwriting (via paper/tablet/board), a medium that is often substandard and that many struggle with, is currently the only viable way to do fast or impromptu scientific writing.\n\n* Students often resort to text editors unoptimized for science, such as Notion or Word, to take notes and write assignments.\n* Scientists use PowerPoint, wrestle with slow and expensive legacy software, and resort to handwriting to take notes, create writeups, or make presentations.\n* Remote tutors and their students require expensive tablets, styluses, and specialty software for a real-time digital whiteboard experience.\n* Professors often upload low quality scans of their messy handwritten class notes.\n\nThe list could go on. The ability to quickly and collaboratively document scientific ideas with a keyboard is a huge QOL and productivity boost for people and institutions doing science.\n\n# **Stempad To The Rescue 🔬**\n\nYou can think of Stempad as a **Notion for Science**. It is the world's first true pen-and-paper alternative for fast scientific writing. Quickly switch between different forms of technical visualization with the ease of a stylus and the convenience of your keyboard.\n\n![uploaded image](/media/?type=post&id=81908&key=user_uploads/1948635/de8cba51-6915-48fe-a808-35ed533080d1)\n\nStempad allows users to save, export and share their work, collaborate in real time, create and grade assignments, conduct remote exams, write research papers, take notes, create presentations, and so much more.\n\n![uploaded image](/media/?type=post&id=81908&key=user_uploads/1948635/260229ed-adfb-4d25-a074-f9130dc1f7fb)\n\n# **My Asks**\n\n* Introduce me to educators, students, scientists, and decision makers **at schools, pharmaceutical companies, research teams, edtech companies, tutoring companies, summer schools, and relevant STEM programs.** [Click here](mailto:ralph@stempad.io?subject=Introducing%20you%20to%20Ralph%20at%20Stempad).\n* If you or any founders you know have B2B SaaS products in the education and science industry, I’d love to learn from you. [Click here](mailto:ralph@stempad.io?subject=Founder%20Intro).\n* [Sign u](mailto:ralph@stempad.io?subject=Founder%20Intro)[p](https://www.stempad.io/signup), use it next to others, and spread the word :)",
        "url": "https://www.ycombinator.com/launches/LJ6-stempad-scientific-writing-at-the-speed-of-thought",
        "votes": 33,
        "created_at": "2024-07-03T02:42:47.745Z"
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        "id": 84559,
        "title": "Founding Front End Engineer",
        "url": "https://www.ycombinator.com/companies/mage-legal/jobs/oQEAawK-founding-front-end-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$100K - $150K",
        "equity_range": "1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 84560,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/mage-legal/jobs/HQwuocB-founding-designer",
        "location": "San Francisco, CA, US",
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        "role": "Design",
        "role_type": "UI / UX",
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        "id": 84660,
        "title": "Founding Marketer/Head of Growth",
        "url": "https://www.ycombinator.com/companies/mage-legal/jobs/vo0P8dR-founding-marketer-head-of-growth",
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        "id": 90434,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/mage-legal/jobs/tw6C54W-founding-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "title": "Should you use AI to buy your home? Here's what some say",
        "url": "https://www.usatoday.com/story/money/personalfinance/real-estate/2024/10/07/should-you-use-ai-to-buy-home/75511235007/",
        "date": "Oct 07, 2024"
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      {
        "title": "Are AI real estate agents the future for homebuyers? These firms think so - HousingWire",
        "url": "https://www.housingwire.com/articles/are-ai-real-estate-agents-the-future-for-homebuyers-these-firms-think-so/",
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        "id": 97352,
        "title": "Mage: Legal Diligence for M&A and Financings. Minutes, Not Days.",
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        "full_name": "Jason Sullivan",
        "title": "Founder/CEO",
        "founder_bio": "Jason is the founder and CEO of Distro, the all-in-one AI co-pilot for counter staff and inside sales at industrial wholesale distributors. He is a repeat founder, having previously co-founded Vested. Before Vested, he was CTO at Elementus, Tech Lead at Coatue, and Senior Software Engineer at PeerIQ. In a prior life, Jason was a credit derivatives trader.\n\nJason holds an MS in Computer Science from Stanford and a BA in Cognitive Science from Yale.",
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      {
        "id": 80953,
        "title": "🏭🤖 Distro - Bringing point-of-sale AI to industrial distribution",
        "tagline": "The AI co-pilot for sales reps at industrial wholesale distributors.",
        "body": "[Distro](https://distro.app/) is the AI sales co-pilot designed for industrial wholesale distributors. We created Distro out of a passion for developing software for the “real economy,” and in particular for the trades. The Distro team is based in, and loves, NYC! 🗽\n\n### 😅 **The Problem**\n\nDistributors, particularly those mid-size and smaller, face a long list of point-of-sale challenges these days.\n\n_🧠 Brain drain_: the most experienced reps are at or near retirement and are taking a great deal of tribal knowledge with them.\n\n_🔧 Complex sales_: quoting entire systems, load calculations, replacing legacy parts and equipment.\n\n_📦 Inventory challenges_: growing SKU counts, supply chain disruptions, decreased inventorying by contractors.\n\n_🎓 Training and retention_: counter reps, in particular, are difficult to hire, train and retain.\n\nThese issues are amplified by the increasing importance of counter and inside sales relative to the rest of the sales organization–there has been a whopping 13 percentage point shift\\* towards counter staff and inside sales influencing purchasing decisions, moving away from territory managers/outside sales.\n\nTo top it all off, there is the ever-present and growing threat of larger players that have the resources to throw money and bodies at the aforementioned problems.\n\n_\\*_ 2023-2024 State of the Channel, HARDI (Heating, Air-conditioning & Refrigeration Distributors International)\n\n### 🔍 **Our Approach**\n\nWhat began as an academic curiosity about how to apply AI to distribution evolved into our team spending countless hours with distributor reps across the country over the course of a year, going deep on their day-to-day challenges, and building a distributor-centric solution from the ground up in partnership with several leading distributors. \n\nThis experience–fully immersing ourselves in a distribution vertical in order to go far beyond a superficial understanding of that vertical’s product universe and sales workflows–has shaped our product philosophy and overall approach. Some of our learnings:\n\n📍 _Meet reps where they are_: don’t try to push reps to adapt to a totally new paradigm. Adapt our workflows to how things really work at the counter.\n\n🚀 _Effortless onboarding_: distributor IT teams don’t need another tech project to distract them. Build solutions that avoid the need for long implementations.\n\n🔒 _Data sanctity_: distributors can spend a lot of time, energy, and money curating their data. Complete data security and privacy are necessary to protect that advantage.\n\n🛠️ _Enhance, don’t replace_: the human element is the key to a distributor’s value-add to its contractor customers. We’re building Iron Man’s suit, not the Terminator.\n\n### 💡 **Our Solution**\n\nOur platform helps counter and inside sales reps work more efficiently by transforming complex customer requests into real-time product information and quotes. With Distro, reps can quote faster, boost conversion rates, and increase customer retention. We support distributors in sectors like HVAC/R, plumbing, electrical, and more.\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/a65bf5e8-d75d-422d-961c-0e3f049162f4)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/7ff364d0-e77c-4dc4-82d2-16db7e4cd9cf)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/e80a0ede-809d-4ac0-b6c3-72b64f1c0e3e)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/170c793c-6a8a-466a-8ea5-bb3623e8a427)\n\n### 🙏 **Asks**\n\n🤝 Connect with us: If you are a founder in the distribution, manufacturing, or contractor spaces, we’d love to share learnings.\n\n📣 Customer intros: distributors, contractors, and OEMs, particularly in HVAC/R, plumbing, and electrical.",
        "url": "https://www.ycombinator.com/launches/L3h-distro-bringing-point-of-sale-ai-to-industrial-distribution",
        "votes": 26,
        "created_at": "2024-05-20T15:06:08.115Z"
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    "long_description": "Ask a question in plain English and ZeitMind connects SAP, your ERP, CRM, HR systems and 600+ other sources, prepares the messy data, and turns it into the live applications your teams actually make decisions with.\r\n\r\nIt is built for the finance, controlling, procurement, supply chain and sales teams at companies that run enterprise systems without an enterprise data team.",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "For years we worked side by side at Palantir, building with some of the largest industrial companies on the continent. Leopold led the established customer business across Germany, Austria and Switzerland. Marvin owned and deployed the first instances of what became the Artificial Intelligence Platform (AIP). Together we shipped projects that turned into more than €50M in new revenue.\r\n\r\nIn summer 2024 we left. We had seen what forward-deployed engineers do for large enterprises, and one thing kept showing up: the people who actually run a business, the heads of controlling, the buyers, the plant managers, are still moving data by hand. The signal sits in the ERP, in the CRM, and in a dozen tools that do not talk to each other. So decisions get made in spreadsheets and on gut feel. The gap between the two is where companies lose time, money and confidence.\r\n\r\nWith today’s frontier models that work can finally be done at software scale. So we are building the autonomous data engineer for the mid-market. ZeitMind connects SAP, your ERP, CRM, HR systems and 600+ other sources, prepares the messy data, and turns everyday business questions into live dashboards, reports and applications, all in natural language.\r\n\r\nWe joined Y Combinator in S24, put it in front of real controlling, procurement and supply chain teams, and went from zero to €1M ARR in twelve months with six people, customers live in weeks and no IT support needed. Today we are 12 engineers, builders and operators across Munich and London."
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    "country": "DE",
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        "full_name": "Leopold von Waldthausen",
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        "founder_bio": "I spent 3.5 years at Palantir, where I ended up leading all established customers in Germany, Austria and Switzerland. Before that I studied CS at Oxford, published research on process mining and cryptography, and quit an MBA at Yale. I started my first business, weview, at 18, ran it for three years and sold it to DemoUp Cliplister.",
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        "full_name": "Marvin Christopher Bornstein",
        "title": "Founder/CTO",
        "founder_bio": "Before Zeit AI, I spent five years at Palantir, where I owned and deployed the first instances of what became AIP, across chemicals, railway infrastructure, media, utilities, insurance and medical equipment. Grew up around Berlin, spent the last five years in London. Writing software for 18 years, professionally for ten, mostly full stack and data engineering. Deep learning research, more hackathons than I can count, and a weakness for InfoSec CTFs.",
        "is_active": true,
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        "id": 98788,
        "title": "(Junior) Account Executive (f/m/d)",
        "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/NnsWGLk-junior-account-executive-f-m-d",
        "location": "Munich",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€120K - €150K EUR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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        "id": 98790,
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        "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/APacFc6-senior-business-development-representative-m-f-d",
        "location": "Munich",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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        "id": 98791,
        "title": "Backend Engineer (Infrastructure & Platform) (f/m/d)",
        "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/X4utXOx-backend-engineer-infrastructure-platform-f-m-d",
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        "id": 105515,
        "title": "Founders Associate (Growth & Marketing)",
        "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/9fQBgkg-founders-associate-growth-marketing",
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        "id": 83344,
        "title": "📈💡Zeit AI: Insights from your tabular data with just a few words",
        "tagline": "Connect your ERP, CRM, CSVs to query them with natural language. 🗂️✅💬",
        "body": "### **🏆 TLDR**\n\n[Zeit AI](https://www.zeit-ai.com/) is ChatGPT for enterprise tables. You can sync tables from your data bases, ERP systems, CRMs, CSVs and more. Atop of these tables, simple questions in natural language can be used to locate data, combine it, generate analyses, or even charts. All results are repeatable and explainable. They can be exported at the click of a button. [Watch our demo!](https://youtu.be/u3NcYh4zCz4)\n\n# 🧑‍💻🌟 **The Team**\n\nTogether, [Marvin](https://www.linkedin.com/in/mcbornstein/) and [Leopold](https://www.linkedin.com/in/v-waldthausen/) have over 15 years of combined experience in data engineering and analytics. During our four years side-by-side at Palantir, we led high-impact projects, building an AI rule-engine and generating over €50 million in novel project revenue. We saw first-hand how corporates heavily relied on Excel files, leading to manual work to analyse and combine data. A solution like Zeit AI would have been a game-changer in accessing this data at scale.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/4024d05f-c883-4ea7-8053-a6e3eb0fdf7b)\n\n# ⚠️ **Problem**\n\nNon-technical users find it challenging to access and analyse enterprise data. Yet, making data-driven decisions is crucial in today’s fast-paced world.\n\n1. Data is stored in files rather than structured databases.\n2. Databases cannot be accessed by non-technical users.\n3. Data often needs to be exported and manually combined in Excel.\n\n# 💡 **Solution**\n\nZeit AI allows non-technical users to derive ad-hoc insights from tables using natural language. This is possible in just three steps.\n\n1. Sync data files directly from your source systems (We support data bases, ERP, CRM and even CSV uploads).\n2. A structured cloud database is instantly generated and ready to be explored.\n3. Use natural language to seamlessly derive insights from the data.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/e6ce9c09-e77a-419e-8fae-adda888b1612)\n\n# 🛠️ **How Zeit AI is Used Today**\n\n**Procurement** 🛒 Gaining the upper hand during negotiations by having ad-hoc access to all historical procurement data.\n\n**Consulting** 🗂️ Rapidly explore and analyse data rooms and client files using natural language to confidently deliver value to clients.\n\n**Controlling** 📊 Access extracts from accounting systems and seamlessly combine them with files across departments for comprehensive financial control.\n\n# ✅ **Ask**\n\n[Book a slot](https://calendly.com/leopoldwaldthausen/deploy-zeit-ai) with us to explore using Zeit AI. Refer us to procurement managers and senior consultants. ([founders@zeit-ai.com](mailto:founders@zeit-ai.com))\n\nGet on a [30-minute call](https://calendly.com/leopoldwaldthausen/zeit-ai-demo-booking) with us for a live demo or free office hours for anyone struggling to easily access tabular data at scale.",
        "url": "https://www.ycombinator.com/launches/LgG-zeit-ai-insights-from-your-tabular-data-with-just-a-few-words",
        "votes": 87,
        "created_at": "2024-08-23T17:41:00.051Z"
      }
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    "id": 29766,
    "name": "Kura AI",
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      "Kura"
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    "website": "https://trykura.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kura breaks 87% on the WebVoyager Benchmark. That is 31% better than Claude's Computer Use demo and 14% better than the previous State of the Art.\r\n\r\nIn 10 years there will be more AI agents on the internet than humans. Kura is SOTA for giving AI agents the tools for interacting with websites.",
    "one_liner": "New State of the Art for Browser Agents",
    "team_size": 2,
    "industry": "B2B",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/kura-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/kura-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kura-ai",
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        "user_id": 409999,
        "full_name": "Ronit Basu",
        "title": "Founder/CEO",
        "founder_bio": "Building SOTA browser agents that power the next generation of agentic companies. \n\nBeen in ML Ops for 4 years. Google, Convoy before that.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ronit-basu-13ab30128",
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      {
        "user_id": 1645720,
        "full_name": "Darren Hwang",
        "title": "Founder/CTO",
        "founder_bio": "Building Web Agents. \n\nPreviously 5 years at Meta building security infra and integrity ranking infra.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/darren-hwang-7a5b25112",
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      {
        "id": 85599,
        "title": "Kura: New State of the Art for Browser Agents [31% better than Computer Use]",
        "tagline": "Kura scores a breakthrough 87% on WebVoyager Benchmark, outperforming Claude's Computer Use demo by 31% and the previous SOTA by 14%.",
        "body": "Hey,\n\nWe’re [Darren](https://www.linkedin.com/in/darren-hwang-7a5b25112/) and [Ronit](https://www.linkedin.com/in/ronit-basu-13ab30128/) of Kura. We just built the State of the Art for Browser Agents and wanted to share our learnings.\n\n![uploaded image](/media/?type=post&id=85599&key=user_uploads/409999/fc555c86-d1f1-455b-b69f-4321e2c78fc8)\n\nFirst, here’s what 87% accurate Browser Agents look like:\\\n\\\n<https://www.youtube.com/watch?v=G62KRiW4ses>\\\n\\\n**Browser What?**\n\nBrowser Agents. Generalized agents that can perform a task on the internet via computer vision and reading the DOM.\\\n\\\n**How does it work**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXch7oezC74-U0XVP5Smt985uUfJlrWPB2fxEfyfyFv5ldVBecQNELHRr_46RkThhxxzqfNnPQYmPuiuCsF22WAZsu1EZhVgbn8_XXk3y0GXLnsMWf5mu52rUVoxjqplLZVV7AZOflR4DfbpDQaBD7CR3ZRa?key=6A3mtQ261QIEuX-viRi3VLa7)\n\nTL;DR our agent is a multi agent system composed of a planner, executor and critic engaged in debate over each action. The agents have varying degrees of vision and HTML DOM context.\n\nFor more information please refer to [**https://trykura.com/technical-deep-dive**](https://trykura.com/technical-deep-dive).\\\n\\\n**Why is it better**\\\n\\\nThis debate architecture allows it to self heal and backtrack succeeding in several tasks other agents currently fail at. It's also largely model agnostic allowing a user to **lower costs by up to 90%** when compared to Claude’s Computer Use by swapping in cheaper models with slight impacts to accuracy.\\\n\\\n**Why does this matter**\n\nWe believe, because of many of the companies here, there will be more agents than humans on the internet in 10 years. However, the internet today is made for humans. Significant functionality is locked behind UIs which don’t have APIs. That’s where generalized browser agents come in.\n\nOur browser agent **converts any series of UIs into an API** ready for consumption by the next generation of agentic companies. \\\n\\\n[Schedule a demo](https://calendly.com/ronitbasu/kura-intro-call)",
        "url": "https://www.ycombinator.com/launches/MGd-kura-new-state-of-the-art-for-browser-agents-31-better-than-computer-use",
        "votes": 19,
        "created_at": "2024-11-15T16:39:50.179Z"
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    "name": "Thunder Compute",
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    "website": "https://www.thundercompute.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Thunder Compute is a systems research lab with commercial focus. We productionize GPU virtualization research to provide step-change improvements in utilization to our cloud offering and partner GPU fleets.",
    "one_liner": "GPUs for Agents",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1723245936,
    "tags": [
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      "Data Science",
      "Cloud Computing",
      "Infrastructure",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Carl Peterson and Brian Model met as freshmen at Georgia Tech and became close friends. The idea for Thunder Compute sparked from Brian's experience in his Systems for AI lab, where researchers made GPU reservations weeks in advance via Google Sheets, severely hindering research progress. This inefficiency inspired us to explore ways to improve GPU access."
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    ],
    "url": "https://www.ycombinator.com/companies/thunder-compute",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/thunder-compute.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/thundercompute/",
    "x_url": "https://x.com/ThunderCompute",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/thunder-9b4c",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 1276433,
        "full_name": "Carl Peterson",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Thunder Compute, formerly Management Consultant at Bain",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cpeterson42",
        "x_url": "https://twitter.com/carl_petey",
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      {
        "user_id": 1989859,
        "full_name": "Brian Model",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Thunder Compute, formerly Quantitative Developer at Citadel Securities",
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        "id": 79986,
        "title": "Cloud Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/thunder-compute/jobs/dtlQhtw-cloud-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1",
        "equity_range": "",
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      },
      {
        "id": 82422,
        "title": "Systems Software Engineer (C++)",
        "url": "https://www.ycombinator.com/companies/thunder-compute/jobs/SZq8TQx-systems-software-engineer-c",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
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        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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          "Distributed Systems"
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    ],
    "news": [
      {
        "title": "Thunder Compute raises $13M to squeeze more work out of idle GPUs - SiliconANGLE",
        "url": "https://siliconangle.com/2026/08/19/thunder-compute-raises-13m-squeeze-work-idle-gpus/",
        "date": "Aug 19, 2026"
      },
      {
        "title": "Thunder Compute Raises $500K to Advance GPU Access for AI Developers | citybiz",
        "url": "https://www.citybiz.co/article/575672/thunder-compute-raises-500k-to-advance-gpu-access-for-ai-developers/",
        "date": "Jul 10, 2024"
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    ],
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      {
        "id": 82910,
        "title": "Thunder Compute: Launch GPU instances in one click for 80% less",
        "tagline": "Self-serve GPUs in VS Code with persistent storage, snapshots, and hot-swappable hardware, for 80% less than AWS",
        "body": "![uploaded image](/media/?type=post&id=82910&key=user_uploads/1276433/30b5b896-6109-4aa6-8a05-fb9a138f61a8)\n\n### **The backstory**\n\nHi everyone, we’re Carl and Brian, aka the team behind [Thunder Compute.](https://thundercompute.com)\n\n![uploaded image](/media/?type=post&id=82910&key=user_uploads/1276433/07db7c92-f1f2-4356-80f8-9dabf9c2fbcd)\n\nBefore Thunder Compute, [Carl](https://www.linkedin.com/in/cpeterson42) was a Management Consultant at Bain & Company, and [Brian](https://www.linkedin.com/in/brian-model/) was a Quantitative Developer at Citadel Securities. Carl and Brian met at Georgia Tech and have been close friends for over 6 years.\n\n### **Problem**\n\nGPU access sucks. Today’s options are expensive and hard to use. Developers are crowded out of the market by large corporations and can’t get the GPUs they need for reasonable prices. Even if you can afford GPUs, they are scarce and hard to use.\n\n### **Solution**\n\nThunder Compute sells cloud GPUs for the lowest rates on the market and provides a simple interface to access them.\n\nYou can connect in one click through VSCode, without SSH. We have “prototyping” mode, with prices 50% lower than anywhere else, and “production” mode, with higher uptime and multi-GPU nodes.\n\n### **Our offer**\n\nSimple: low-cost, easy GPUs. \\\n\\\nIf you’re looking for a better GPU cloud, join Thunder Compute’s public beta today at [www.thundercompute.com](https://www.thundercompute.com).\\\n\\\nIf you have questions, need technical support, or want to rant about the current state of GPUs, join our discord at [**https://discord.gg/nwuETS9jJK**](https://discord.gg/nwuETS9jJK) or contact us at [**founders@thundercompute.com.**](https://mailto:founders@thundercompute.com/)",
        "url": "https://www.ycombinator.com/launches/LZG-thunder-compute-launch-gpu-instances-in-one-click-for-80-less",
        "votes": 50,
        "created_at": "2024-08-11T14:49:40.486Z"
      }
    ]
  },
  {
    "id": 29769,
    "name": "Pinnacle",
    "slug": "pinnacle",
    "former_names": [
      "InsightForge"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b466ed207f7ecd72989b10237037b204765513f2.png",
    "website": "https://pinnacle.sh/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pinnacle is an API for RCS, the new standard for SMS for app-like text messages.",
    "one_liner": "API & SDK for RCS (the next-generation of texting)",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1725406476,
    "tags": [
      "Developer Tools",
      "B2B",
      "Sales",
      "E-commerce",
      "SMS"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/pinnacle",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/pinnacle.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trypinnacle/",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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      {
        "user_id": 1439340,
        "full_name": "Sean Roades",
        "title": "Founder/CTO",
        "founder_bio": "Sean is co-founder of Pinnacle (S24). After graduating from Harvard College where he studied computer science and econometrics, Sean worked at YouTube where he built machine learning models that handled billions of dollars of ad spend.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sr19943/",
        "x_url": "https://twitter.com/SeanRoades",
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      },
      {
        "user_id": 854039,
        "full_name": "Ivan Zhang",
        "title": "Founder",
        "founder_bio": "Ivan is the cofounder and CEO of Pinnacle.\n\n\nHe studied Computer Science and Statistics at Harvard College and previously worked as a software engineer at Amazon where he built internal tools. Most recently, he was a software engineer at General Catalyst’s Customer Value Fund where he built an open-source data library with over 25,000 downloads.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aivanzhang/",
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      {
        "id": 84168,
        "title": "Pinnacle📱- RCS (Next-Gen SMS) API for developers",
        "tagline": "Shop in text; programmable interactive, app-like texts",
        "body": "Hey YC! We’re [Sean](https://www.linkedin.com/in/seanroades/) and [Ivan](https://www.linkedin.com/in/aivanzhang/) from [Pinnacle](https://www.trypinnacle.app/). \\\n\\\nToday, we’re launching [our API](https://docs.trypinnacle.app/api-reference/endpoint/introduction) to send and receive RCS (Next-Gen SMS) text messages natively on user’s devices. We’re also launching an [SDK for Python](https://docs.trypinnacle.app/documentation/python/quick-start) (\\`pip install rcs\\`). If you’re currently sending SMS, you should probably be using Pinnacle.\\\n\\\nHere’s a quick example of how we used our API to sell our [Founder Mode hats](https://shop.trypinnacle.app/products/founder-mode-holy-edition-hat?) (certified by Brian himself 😉)\n\n![uploaded image](/media/?type=post&id=84168&key=user_uploads/1439340/3c12589b-527f-4fcc-bc9b-f6ecaf5b555e)\n\n# The problem\n\nShort: SMS sucks. \\\nLong: SMS messages have high friction from sending a message to checking out a customer. Interactivity is very limiting with SMS.\n\n# The solution\n\nShort: RCS rocks.\\\nLong: RCS messages reduce high friction for customers to buy products with a single tap and add interactivity through buttons, card carousels, and actions.\n\n# Why now\nThis hasn't been possible until now. Apple rolled out RCS this week on iOS 18. Carrier adoption has been fully supported on all Android devices just this year. Carrier adoption for iOS completes in a couple months. We segment by device so you can adopt RCS incrementally.\n\n# Our asks\n\n* Share - tell your friends & colleagues about Pinnacle\n* YC Companies - **reach out to us (**[**founders@trypinnacle.app**](mailto:founders@trypinnacle.app)**) to join our private beta**. You'll also get a **free Founder Mode hat**, designed by us, **1000 messages / mo free**, and our **24/7 #FounderMode support**.",
        "url": "https://www.ycombinator.com/launches/LtY-pinnacle-rcs-next-gen-sms-api-for-developers",
        "votes": 62,
        "created_at": "2024-09-19T21:58:11.562Z"
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  },
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    "id": 29770,
    "name": "Intryc",
    "slug": "intryc",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7ba643e872dfb236016ba560ace56c12e3baf83.png",
    "website": "https://intryc.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Enterprises have millions of customer interactions every year but are only able to monitor less than 2-5% of those. The rest 95% is unmonitored risk across compliance, customer experience, product defects, and agent performance. With AI agents widely deployed across customer support organisations this problem increases exponentially. Every company needs a unified layer that allows them to monitor and govern all customer interactions with customer support teams, humans and AI. Intryc is building this layer. ",
    "one_liner": "Intryc is the unified quality assurance, governance, and training…",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1721158274,
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        "title": "Intryc: AI Simulations and QA for CX Teams",
        "tagline": "All-in-one Quality Assurance and Training Platform for world-class CX Teams",
        "body": "Hi YC community!\n\nTeam Intryc (S24) here and excited to show you the second and most upgraded iteration of our product, already used by billion dollar companies like [Deel.com](http://Deel.com) and Blueground as well as hypergrowth startups like Fyxer AI and Factorial.\n\n| The Team |\n\nFor those who don’t know us yet, our team spent 8+ years in the CX space. We’ve solved support tickets, managed accounts, built cross-country/continent teams and created entire playbooks and processes of how world-class CX teams should interact and support customers across the globe in our previous employers at Revolut, Confluent, Navan, Meta, Amazon.\n\n| The Problem |\n\nCreating a culture of operational excellence, overachieving, and top performance is one of the toughest challenges every company and leadership team face.\n\nEspecially in CX, every customer interaction can make or break that customer trust and turn into a nightmare or opportunity. There’s two sides to this problem. Lack of visibility and time to action.\n\nWe solved the first half during our S24 batch when we released our AI QA tool for CX teams that allows companies to monitor up to 100% and the most important samples of their customer interactions. Moving onto the second half, CX and Learning & Development managers spend 15+ hours per week building performance improvement material, aligning resources, and ensuring agents, CSMs, and adjacent CS Ops teams are well trained and prepared. Through role plays, shadowing, piecing together training material, reiterating, and updating the relevant resources - all critical activities yet still remain highly manual, unscalable, and more often than not outdated and simplistic. 2 out of 3 customers churn after a single negative support interaction. Training and coaching is more often than not limited, reactive, time-consuming, and inconsistent.\n\n| The Solution |\n\nRealistic Simulations: Agents practise on challenging, real-life scenarios (based on past tickets) in a safe environment. Low stakes, high gains!\n\nAutomated Scoring: Every interaction is measured against your org’s policies & playbooks, with unlimited tries and clear graduation paths. No more guesswork, team members get instant and clear feedback.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/db13b953-549f-4336-95a6-c394e5de273b)\n\nTargeted Coaching: Managers instantly see who needs help and where, cutting wasted training time. Enough with one-size fits all, different people need help in different areas.\\\n\\\nAlways Improving: Both new joiners and seasoned agents keep up-to-date with new products or processes effortlessly.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/68f1a2c1-1c0f-4b44-833b-4c4533e2d3a6)\n\nContinuous monitoring and process improvement: All data points are collected in personalised dashboards and reports that create a virtuous cycle of improvement across the team while completely eliminating up to 80% of manual preparation work and continuous manual data gathering and reporting across the organisation. Systems over wishful thinking.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/3a7b12dc-7bf0-4904-9e84-ed0a38cd5517)\n\nThe first results on our early adopters show onboarding and training time reduced by up to 50%. Managers reclaim 12–15 hours per week.\n\nAgents have a lot more visibility on their performance progress, don’t have to guess any more and continuously improve like having a personal coach in their pocket.\n\nWe’re excited for as many of you as possible to give this a try and share your feedback!\n\nUpvote our launch here: [https://www.producthunt.com/products/intryc?launch=intryc](https://www.producthunt.com/products/intryc?launch=intryc%5C)\\\nThank you all for your support!",
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        "id": 82343,
        "title": "Intryc - Use AI to automate Quality Assurance for Customer Support",
        "tagline": "Sample tickets, evaluate human and AI agents, and unlock customer insights across all your customer interactions",
        "body": "Hi everyone, we’re Alex, George, and Dimi!\n\nWe are ex-Meta, Amazon, Revolut, and Confluent engineering and GTM folk who have spent more than 7 years improving the customer experience in companies like Meta, Amazon, Revolut, Confluent, and Navan. We decided to build Intryc with the mission to centralize and automate the repetitive, error-prone, and manual tasks in the Support QA process to free up the time of CX teams so they can focus on what really matters to them - their customers and business goals.\n\n![uploaded image](/media/?type=post&id=82343&key=user_uploads/89898/63e0ef63-8615-4520-b36e-bcabccfdad58)\n\n**tl;dr**\n\n[Intryc](https://intryc.com/) uses AI to automate Quality Assurance for customer support. Customers like [Deel.com](http://deel.com) centralize and automate parts of their Quality Assurance on Intryc to ensure agent compliance, double QA productivity, reduce costs by 50%, and prevent negative customer interactions while collecting actionable product and customer insights.\n\n**The Problem**\n\nQuality assurance for customer support is vital in regulated sectors like banking and utilities. Millions of customer inquiries must be handled and evaluated consistently and accurately to avoid regulatory non-compliance and brand reputation damage. This process is typically run manually by internal teams that still rely on outdated systems or spreadsheets to review and evaluate customer interactions. Even the most efficient QA teams can evaluate less than 5% of total tickets, leaving millions of interactions unreviewed and risking regulatory compliance, reputation damage, and increased customer churn.\n\n![uploaded image](/media/?type=post&id=82343&key=user_uploads/1341483/44a793a2-2c70-4389-ab09-8970eaaf7e7a)\n\n**The Solution**\n\nIntryc’s AI-powered solution automates the manual, repetitive, and error-prone tasks of the QA process, integrates with knowledge bases and data sources, such as help desks and CRM systems, to streamline the entire process end-to-end and allows organisations to scale their Support QA, without the scaling costs!\n\n<https://www.youtube.com/watch?v=eqIx1bnzEGk>\n\n**What Intryc offers:**\n\n* **Automated Intelligent Sampling**\n  * Automate your sampling and workload distribution to ensure an optimal ratio of QA specialists to sampled tickets, minimising idle QA time.\n  * Create targeted customer ticket samples with AI based on sentiment, keywords, or other custom rules.\n* **Dynamic Workload Distribution**\n  * Create hybrid or fully automated AI evaluation workloads to double your team’s productivity.\n* **Custom Scorecards and Unlimited Coverage**\n  * Optimize your scorecards with customized criteria based on internal playbooks, knowledge bases, or evaluation repositories.\n  * Score up to 100% of your tickets with AI without a single human involved, or try AI vs human A/B testing, and override AI evaluations when required.\n  * Get AI-generated ticket and agent evaluation summaries.\n* **Tailored Agent Coaching**\n  * Get AI-generated summaries of underperforming agents based on scorecard ratings and provide tailored coaching to each agent.\n* **Extensive reporting**\n  * AI generated insights based on key topics, product areas, or customer service from your entire ticket base.\n  * Real-time ticket evaluations and agent performance summaries for management.\n\n**👋 Ask: How you can help**\n\n* Support us on [here](https://www.linkedin.com/company/intryc/) on socials!\n* Connect us to COOs or Customer Support/Experience/Operational leaders in your network at [alex@intryc.com](mailto:alex@intryc.com).\n* Give us product feedback as a company leader who cares about their customers’ experience and supports the team’s performance. Book a 15-minute demo [here](https://www.calendly.com/alexmarantel).\n\n**💥 The Deal**\n\nInbound from the YC network will get a 50% discount. Email [alex@intryc.com](mailto:alex@intryc.com) to redeem the deal!",
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        "votes": 45,
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        "title": "Parley - Making immigration simple",
        "tagline": "We help immigration firms write visa applications with AI, starting with the O-1A Writer.",
        "body": "**Tl;dr:** Parley helps immigration lawyers write visa applications using AI. We integrate directly into a lawyer’s typical workflow so they can start writing with Parley from day 1 and deliver results to their clients faster.\\\n—\n\nHi everyone, we’re Jackson, Philip, and Ian, and we’re the co-founders of [Parley](http://www.parley.so).\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdt6N9Q8vNdjiG9xxDpkQcK7DC6o2oJ1pXc5CeFeNpU2jR8qqIb_HbbsvKCgbOuoHmlHJKSF1Y3cnlKz0SCU2BWfICIW3sVsxtv2MV5POsxXUBkkqgYH2Rzq1YRLdcm9rTZf4rLxt6pCFzt6-DOYN-A2yKY?key=bRVaeO2Jsn5Nds8A8Ue9KA)\n\n**📚 The Problem**\n\nIt’s no secret that the immigration system in the U.S. is broken. Anyone pursuing a work or immigrant visa will tell you about the difficulties of lottery systems, exorbitant fees, and endless paperwork. \n\nAt Parley, we believe an important piece to fixing this process is **automating work for immigration firms.** For some visa types, a lawyer or legal writer spends several days writing a single application, learning about the most complex and technical professions, collating hundreds of pages of evidence, and synthesizing it all into a cohesive petition. Meanwhile, an applicant eagerly waits for their opportunity. By helping lawyers work better on a daily basis, we hope to accelerate Parley’s speed to impact — reducing the complexity of immigration.\n\n**✍️ The Solution** \n\nParley makes immigration processes easier. Our first product, the O-1A Writer, helps **immigration attorneys speed write a petition** while keeping them in the loop. As a lawyer does the critical thinking in specifying what argument they want to make, our writer dynamically pulls content from an applicant's evidence, fits that material to the context of the application, and automatically drafts a petition for review. We do this all directly in Microsoft Word — where most attorneys spend their time writing. We’re quickly expanding support for more visa types like the H-1B, TN, EB-1, EB-2 NIW, L-1, and more.\n\n![uploaded image](/media/?type=post&id=81798&key=user_uploads/410497/9ed0f8d6-b11f-48a8-acc1-3a6d50fb74df)\n\n**Asks:** \n\n* Want to use the product? **Book a demo **[**here**](https://calendly.com/philip-parley/15min)**.**\n* **Been through a visa process?** Reach out to us and tell us about your journey at [founders@parley.so](mailto:founders@parley.so) - we’d love to talk!\n* **Like what we’re building?** Share this post! Spread the word to help us build toward the vision of making immigration simple.",
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        "created_at": "2024-06-27T19:39:16.686Z"
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        "id": 109816,
        "title": "Business Development Representative (Founding GTM)",
        "url": "https://www.ycombinator.com/companies/soff/jobs/lBGDYxA-business-development-representative-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 114414,
        "title": "Founding GTM ",
        "url": "https://www.ycombinator.com/companies/soff/jobs/dqNez2P-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 114415,
        "title": "Sales Development Representative (Founding SDR)",
        "url": "https://www.ycombinator.com/companies/soff/jobs/ooqsshp-sales-development-representative-founding-sdr",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "equity_range": "0.20% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 114416,
        "title": "Founding Ops",
        "url": "https://www.ycombinator.com/companies/soff/jobs/j50ICZH-founding-ops",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "title": "Supply Chain Operating System Startup for Manufacturers Joins CMTA | California Manufacturers & Technology Association",
        "url": "https://cmta.net/news/soff-joins-cmta/",
        "date": "Sep 24, 2024"
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    "launches": [
      {
        "id": 90126,
        "title": "Soff: The AI-powered Supply Chain Hub",
        "tagline": "Automating procurement to save manufacturers time and money.",
        "body": "# It Is 2025\n\nTariffs are spiking. Contracts are collapsing. And manufacturers? They're fighting to keep the lights on while costs explode.\n\n📉 Fortune 500s have already lost **over $5 billion** to supply chain failures this year.\\\n📈 Tariffs are **hitting 145%**. Imports could plummet 20%.\n\n_So who’s left holding the bag?_\n\n**Procurement**. They need to keep raw materials flowing—fast!\n\nBut instead of focusing on supplier relationships or unlocking opportunities, procurement teams are stuck chasing emails, digging through spreadsheets, and losing time—and money—by the hour.\n\n# Enter Soff\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/f4436cc5-bc8e-4b95-8d0a-1ccdfa93e46f)\n\nSoff connects directly to your purchasing inbox, streamlining how manufacturers request, track, and approve supplier quotes—all in one place.\n\n1. No more chaos. Just **faster, smarter** procurement.\n2. **60% faster** procurement cycles.\n3. Teams freed up to do what matters: manage supplier relationships and **keep production running**.\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/25354546-6587-414f-a341-6414a4567cc1)\n\n# The bottom line\n\nYou can’t control global tariffs. But you **can** control how fast you respond. The manufacturers who win in 2025 will be the ones who move **quicker than the chaos**.\n\n👉 Visit [soff.ai](http://soff.ai) to see how.\\\n🎯 Know a manufacturer? We’re offering **free consultations** to navigate today’s tariff mess.\\\n⬇️ Hear what customers say about Soff.\n\n<https://youtu.be/I50ypYIvCbA>",
        "url": "https://www.ycombinator.com/launches/NRe-soff-the-ai-powered-supply-chain-hub",
        "votes": 13,
        "created_at": "2025-05-06T13:34:15.864Z"
      },
      {
        "id": 83460,
        "title": "🚛 Soff: Supply Chain Operating System for Manufacturing Companies",
        "tagline": "Unify supply chain data and automate core workflows.",
        "body": "**⛓️ TL;DR**\n\n[Soff](https://soff.ai) is a supply chain operating system for manufacturing companies. We automate data entry, requesting quotes, comparing quotes, and issuing purchase orders. Our customers save dozens of hours a week spent on repetitive manual tasks.\n\n👬 **Team**\n\nWe met five years ago while studying at the CDTM in Munich. Most recently, [Berni](https://www.linkedin.com/in/hausleitnerb/) worked as a full-stack engineer at Tesla on the Autopilot team, whilst [Raban](https://linkedin.com/in/raban) finished his engineering master’s at Stanford. At Tesla, Berni built tons of internal tooling and saw the supply chain inefficiencies firsthand. During the batch, Raban worked as a purchasing manager for one of our customers.\n\n🌋 **Problem**\n\nSupply chain data is spread across multiple platforms, such as ERPs, custom spreadsheets, and email inboxes, leading to inefficiencies and a lack of visibility. Supply Chain Managers spend hours each week searching through emails and spreadsheets to track the status of parts procurement, from request to quote to award. This process is not only time-consuming but also prone to errors and delays. For example, changes in production schedules require Supply Chain Managers to follow up with all suppliers individually to adjust their purchase orders. Quotes that aren’t used are lost in the abyss of email inboxes. Suppliers are reluctant to upload quotes to yet another portal and often fail to notify about delays, leading to costly production standstills.\n\n🚛 **Solution**\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/cacbe907-12f5-429f-9391-9ba957afa746)\n\nSoff connects suppliers, parts, and quotes into a single platform.\n\nWe integrate with ERPs and email to automate supplier communication, send RFQs, and issue purchase orders. We turn unstructured email and PDFs into SQL-ready data, injecting quotes directly into the ERP system. We eliminate the need for manual data entry and dedicated supplier portals, thus increasing supplier response rates.\n\nOur platform stores quote data, ensuring no loss of information when switching suppliers or moving from single-source to dual-source. It also tracks parts from the initial request through to the final receipt, providing a complete overview for supplier management.\n\nSoff enables manufacturers to deliver higher-quality products faster. Companies like SpaceX (Warpdrive), Rivian (Basecamp), and Apple (Incline) spend millions on building their in-house supply chain tools—we bring that level of efficiency to any manufacturer.\n\n**❤️ How you can help**\n\nIf you work in Supply Chain or work(ed) at a manufacturing company we’d love to connect. Send us a message at [founders@soff.ai](mailto:founders@soff.ai). 📨\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/a277625d-201c-471a-a6d4-5a9fa4c0a104)\n\n",
        "url": "https://www.ycombinator.com/launches/Li8-soff-supply-chain-operating-system-for-manufacturing-companies",
        "votes": 84,
        "created_at": "2024-08-27T14:42:52.309Z"
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        "full_name": "Lucas Urbisaia",
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        "full_name": "Soheil Sadabadi",
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        "founder_bio": "Computer Scientist and Al-Khwarazmi wannabe. ",
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        "id": 111504,
        "title": "Praxos - team messaging with built-in memory",
        "tagline": "A team messaging platform for humans and agents working together",
        "body": "Hey YC community! What does a normal workflow at a startup look like?\n\nProbably like this:\n\n_> One founder talks to customers_\n\n_> Another founder builds_\n\n_> A customer asks for something. The first founder explains it to the second. The second founder explains it to Claude_\n\n_> Two weeks any one of the founders asks one of the following questions:_\n\n* _Why are we building it this way?_\n* _What happened here?_\n* _What did we promise ACME we’d do?_\n* _How far along are we on X?_\n\n_> Then you scream on the inside because you have to figure out what happened…_\n\nBefore agents, the person who did one part of the work usually held a mental map. They could share the context with other people. Increasingly, they can’t.\n\nSmall teams can run far more work in parallel than ever before thanks to AI, but someone now has to connect all that context manually. The reasoning behind one product change might now be scattered across a customer call, two emails, a Slack thread, and four Claude conversations.\n\n[Soheil Sadabadi](https://bookface.ycombinator.com/user/727857) and I have been obsessed with solving these problems for a long, long time now.\n\n[Praxos](https://bookface.ycombinator.com/company/29778) is a team messaging app. \n\nIt has channels, groups and threads like you’d expect. However, places where work happens—Github, harnesses, email, calls—get linked and converted into a living record of your company. This means everyone is always up to date with the latest developments.\n\nAgents can join conversations and inherit the same context humans do.\n\nHere are examples we’ve seen in production:\n\n1. You talk to a customer. Later, when an engineer or coding agent works on the feature, your conversation and the customer’s information are already in context.\n2. A new engineer picks up an existing project. They have immediate access to info about who worked on what part of the code base, the deltas across changes, and a granular view of their conversations with coding agents. There’s no need to interrogate the CTO.\n3. Three weeks later, someone asks why the engineer made a certain decision about the feature. Praxos fetches the engineer’s convos, the original feature request and call logs between the founder and the engineer. Then it contextualizes the work.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=111504&key=user_uploads%2F658480%2F7022badd-c8fc-437c-8e20-0f27d8e6b3d5&variant=large)\n\nWe’re early, but the core product already works and is in use. You get messaging, search, memory and connectors. You can bring your own agents, use ours, or both.\n\nA desktop app is going live next week. We’re building native calls and mobile apps, so that all the communications that go into a company’s history can happen on Praxos.\n\n**Our ask:** if you’re a 2 to 10 person team where one person is spending all day with customers while the rest of the team is shipping with Claude/Codex, we’d love to personally onboard you.\n\nEspecially if you’ve already caught yourself asking “what did the customer want?” or “what’s going on with X?” last week.\n\nThe first 10 teams get\n\n[Praxos](https://bookface.ycombinator.com/company/29778) for free for 6 months ;)\n\nEmail me at [lucas@praxos.ai](mailto:lucas@praxos.ai).",
        "url": "https://www.ycombinator.com/launches/T0S-praxos-team-messaging-with-built-in-memory",
        "votes": 7,
        "created_at": "2026-08-21T17:05:12.305Z"
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    "name": "The Forecasting Company",
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    "year_founded": 2024,
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    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/104348230/",
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        "full_name": "Geoffrey Negiar",
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        "founder_bio": "Co-founder and CEO at The Forecasting Company, helping enterprise customers improve their operational decision making. PhD grad from UC Berkeley's BAIR. I spent time with Amazon Forecasting Science in SCOT, Google Brain, and Bloomberg LP where I worked on forecasting, optimization and deep learning research.",
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        "user_id": 1616813,
        "full_name": "Joachim Fainberg",
        "title": "Founder/CTO",
        "founder_bio": "PhD in ML for speech and full-stack developer. Interned at Sonos where I built an on-device wake word detector and at Bloomberg building a large ASR system. Worked full-time at JPMorgan in their Machine Learning Center of Excellence in New York, and then at two startups, team lead ML/NLP at Consigli, a prop-tech startup, and sr algorithm engineer and full-stack at Vind AI, a SaaS for designing off-shore wind parks.",
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        "id": 83099,
        "title": "Founding Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/the-forecasting-company/jobs/cXJzAhA-founding-machine-learning-engineer",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "€80 - €130 EUR",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 82635,
        "title": "The Forecasting Company: Foundation models for time series",
        "tagline": "Easy and accurate forecasts for navigating an uncertain world",
        "body": "**tl;dr:** The same core technology that led to the LLM explosion can be adapted to build accurate and easy to use time series models. We’re building the enterprise-grade, plug and play forecasting systems of tomorrow. [Talk to us](https://mailto:founders@theforecastingcompany.com) if you have forecasting and planning use-cases!\n\n\\\nHi everyone, we’re Geoff and Joachim. We’ve built ML and forecasting systems at Amazon, Google, Bloomberg LP, JP Morgan, and Sonos. We’re The Forecasting Company!\n\n### Problem 📉\n\n* Existing time-series forecasting solutions produce **unreliable predictions** with sometimes catastrophic results - they have a hard time handling activity spikes like Black Friday.\n* Developing and maintaining useful forecasting and planning models requires **large and costly teams** of data scientists and domain experts.\n* Data science teams are backlogged, leaving operators **waiting for months** before a use-case to be put into production.\n\n### Solution 📈\n\n* **An easy to use, flexible and accurate forecasting system. No training required!**\n* A **massive training dataset of time-stamped data** from many industries and domains (energy, transportation, etc.).\n* A forecasting model that can leverage **user-provided input variables** or our own **curated data streams**.\n\n### What we’re forecasting these days\n\n# Bacteria levels in the Seine 🦠 🏊‍♂️\n\n![uploaded image](/media/?type=post&id=82635&key=user_uploads/1325636/a0b74e9b-3289-4b05-aa4d-78ea52ef10d0)\n\nOur forecasts show that swimmers lucked out today 🍀!\\\n(Data provided courtesy of the [Fluidion Open Data Initiative)](https://fluidion.com/open-data-initiative/2024-seine-water-quality)\n\n### Ask\n\n* If you have forecasting problems in-house, or know of someone who does, **please reach out - we’d love to help!**\n* **Try our sandbox model** on [www.theforecastingcompany.com](http://www.theforecastingcompany.com) and let us know what you think\\\n  [founders@theforecastingcompany.com](mailto:founders@theforecastingcompany.com)",
        "url": "https://www.ycombinator.com/launches/LUp-the-forecasting-company-foundation-models-for-time-series",
        "votes": 68,
        "created_at": "2024-08-01T14:17:31.991Z"
      }
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    "name": "Presti AI",
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    "website": "https://www.presti.ai/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Furniture companies spend millions and months each year on photoshoots or CGI to create product images as these visuals are crucial for driving sales.\r\n\r\nPresti offers a faster and cheaper solution powered by generative AI. Unlike other generative AI tools, our core model is optimized for furniture products and includes multiple features tailored to the unique needs of furniture industry.\r\n \r\nWe have 100 paying B2B users with a 10% growth week over week.\r\nWe raised a $3.5M seed round",
    "one_liner": "Helping furniture companies create product visuals with AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1724700197,
    "tags": [
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      "E-commerce",
      "AI"
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    "regions": [
      "France",
      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/presti-ai",
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    "city": "Paris",
    "country": "FR",
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      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1130049,
        "full_name": "Nabil Toumi",
        "title": "Founder/CEO",
        "founder_bio": "Was the automation lead at Uber, where I created a team that saved €20M in a year, earning me a top 1% employee award.\nAlumnus of Centrale Paris and ESSEC",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nabil-toumi-b58b0084",
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        "user_id": 1132883,
        "full_name": "Saad Bencherif",
        "title": "Founder/CPO",
        "founder_bio": "Cofounder & CPO of Presti AI: stunning product visuals, for furniture companies, with gen AI 🛋️. Prior life: ex-Senior Data Scientist @ BCG X.",
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        "full_name": "Hamza Bennis",
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        "founder_bio": "Generative AI Founder @Presti AI | Furniture imagery with AI 🚀 |\n",
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        "user_id": 927499,
        "full_name": "Abdellah Lamrani Alaoui",
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        "founder_bio": "I was the Head of Data at Scibids, an AdTech scale-up sold to DoubleVerify for $125M, where I oversaw the AI team in developing cutting-edge real-time bidding solutions.\nCentrale Paris x MVA Alumni",
        "is_active": true,
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        "title": "Founder Associate Intern @Presti ",
        "url": "https://www.ycombinator.com/companies/presti-ai/jobs/mL0pxlP-founder-associate-intern-presti",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
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      {
        "id": 83443,
        "title": "Presti - Product photos for the furniture industry with GenAI",
        "tagline": "We offer a faster and cheaper solution to create product photos for furniture companies.",
        "body": "### **TL;DR**\n\n[**Presti**](https://www.presti.ai/) offers a faster and cheaper solution to create Product photos for furniture companies. **We currently serve 100 paying B2B users with a 10% growth week over week.** Try it for free [**here.**](https://app.presti.ai/)\n\n**—**\n\n### **Team**\n\nHi everyone, we are [Abdellah](https://linkedin.com/in/abdellah-lamrani-alaoui-6288a4a6), [Hamza](https://linkedin.com/in/hamza-bennis-143635a6), [Nabil](https://linkedin.com/in/nabil-toumi-b58b0084), and [Saad](https://linkedin.com/in/bencherifs) (from left to right in the picture). We’ve been close friends since our time at Ecole Centrale Paris 10 years ago and have developed strong AI expertise at top tech companies like Uber and BCG Gamma.\n\n![uploaded image](/media/?type=post&id=83443&key=user_uploads/1130049/acecfeb9-0687-4da3-9d37-43facfab4f45)\n\n### **Problem**\n\nFurniture companies spend millions and months each year on photoshoots or CGI to create product images.\n\nThey also can’t use any genAI tools because:\n\n1\\. General models fail to produce quality results for furniture products\n\n2\\. The industry requires specific, unique features that standard tools don't offer.\n\n### **Solution**\n\n_How does it work?_ \\\nWith Presti, users can upload a simple product image and stage it in any environment within seconds. Our platform also enables users to manage all aspects of product visuals. For example, users can change the color and texture of their products or also have the ability to generate consistent visuals for an entire collection.\n\n_How did we address the problem?_ \\\nWe've developed a specialized diffusion model optimized for furniture, delivering studio-quality results. Additionally, we’ve launched over 10 AI-driven features specific to the industry\n\n_The tool_\\\nTry out Presti for free [**here.**](https://app.presti.ai/)\n\n![uploaded image](/media/?type=post&id=83443&key=user_uploads/1130049/5776b364-c337-459f-99cb-d0d32be93318)\n\n### **Ask**\n\nIf you're **a furniture company** or **connected with a furniture brand**, feel free to contact us at [founders@presti.ai](mailto:founders@presti.ai)",
        "url": "https://www.ycombinator.com/launches/Lhr-presti-product-photos-for-the-furniture-industry-with-genai",
        "votes": 22,
        "created_at": "2024-08-26T23:24:03.980Z"
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    "id": 29781,
    "name": "Cerulion",
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    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/336383ad58869871ce591b4e1b31dd374319435c.png",
    "website": "https://www.cerulion.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cerulion is an open source operating system for robots built by 2 MIT robotics PhDs. Engineers at Amazon Robotics and Boston Dynamics AI Institute are using us to develop faster and ship more reliable robots than with ROS. With up to 1000x improvements in communications performance over state of the art, Cerulion is enabling the next generation of embodied AI.",
    "one_liner": "Open source operating system for robots",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1720480188,
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    "batch": "Summer 2024",
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/cerulion",
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    "year_founded": 2024,
    "city": "San Francisco",
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      "url": "https://www.ycombinator.com/people/diana-hu"
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        "full_name": "Lakshay Sharma",
        "title": "Founder/CEO",
        "founder_bio": "Lakshay is the cofounder/CEO of robotics middleware startup Cerulion. Prior to this, he studied computer engineering, astrophysics and robotics at the University of Pennsylvania, and researched robot motion planners at MIT.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lakshay2010sharma/",
        "x_url": "https://x.com/_lakshays_",
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      {
        "id": 72837,
        "title": "Founding Middleware Lead",
        "url": "https://www.ycombinator.com/companies/cerulion/jobs/C21ngNY-founding-middleware-lead",
        "location": "Mountain View, CA, US / Boston, MA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$145K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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    "news": [
      {
        "title": "Predicting AI’s future from Y Combinator’s new startup cohort - PitchBook",
        "url": "https://pitchbook.com/news/articles/y-combinator-demo-day-ai-startups-analysis",
        "date": "Sep 25, 2024"
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    "launches": [
      {
        "id": 83665,
        "title": "Cerulion 🤖 Fast, reliable, cross-platform robot middleware",
        "tagline": "Cerulion enables lightning-fast, rock-solid communications for safe robots with an easy, cross-platform GUI.",
        "body": "Robots are expensive and hard to develop/debug. [Cerulion](https://www.cerulion.com/) solves the robot tooling problem to cut down development times by up to 10x.\n\n# The Problem\n\nThe incredibly high capital costs required for robotics, combined with the inherently non-deterministic nature of embodied intelligence, result in an unpredictable system where even attempts, let alone failures, are cost-prohibitive.\n\n**Robots are expensive and hard.**\n\nAnd yet, despite time on hardware being such a precious resource, roboticists today are absolutely wasting 90% of it fighting against unoptimized tooling. Some common complaints are:\n\n* Needlessly complex to install, maintain, and document\n* Incredibly steep learning curve for non-transferable skills\n* Poor observability into a robot's belief\n* Artificial non-determinism induced by slow or unreliable message-passing\n* Unreliable network protocols and IPCs\n* System breakdown due to poor inter-robot communication\n* Unreliable logging and cumbersome/nondeterministic log replay\n* Wasting precious field time parsing 1000s of lines of runtime errors whooshing past the screen\n\nAnd the list goes on and on.\n\n**Robot tooling today is broken. Unacceptably so.**\n\n# Our Solution: Performance never looked this good!\n\n![uploaded image](/media/?type=post&id=83665&key=user_uploads/1938980/f6733a7c-7d31-4bf8-9198-d19e786c5650)\n\n* **Packaged as an app, rather than a CLI tool:** Instead of shipping as a bunch of CLI tools to be installed, patched, and reinstalled, Cerulion is an app you can download on Windows, Mac, or Linux. It will smartly detect and handle any dependencies as needed.\n* **Intuitive, cross-platform visualizer:** The sleek, easy-to-use GUI is the main way of communicating with your robot in the field, which means you can run it with minimal resources on your favorite long-lasting laptop with any OS, instead of **_that_** RGB laptop with a gaming GPU running Linux.\n* **Minimal boilerplate and setup:** The way you program robots in Cerulion is designed to get out of your way, so you can focus on the planner and perception algorithms instead of worrying about the inter-process comms, IP addresses, or network routes.\n* **Fast and reliable communication:** We leverage cutting-edge Rust-based networking and IPC stacks like [Zenoh](https://github.com/eclipse-zenoh/zenoh) and [IceOryx2](https://github.com/eclipse-iceoryx/iceoryx2), along with tried and tested C++ alternatives like [LCM](https://github.com/lcm-proj/lcm) and [IceOryx](https://github.com/eclipse-iceoryx/iceoryx). By ensuring communications don't fail silently and messages are delivered when expected, Cerulion eliminates nasty surprises in safety-critical scenarios.\n\n# Meet The Team\n\n![uploaded image](/media/?type=post&id=83665&key=user_uploads/1938980/62663160-4581-4de2-abb8-0bbb86179aa1)\n\nAs robotics PhD students at MIT, [Lakshay](https://www.linkedin.com/in/lakshay2010sharma/) and [Se Hwan](https://www.linkedin.com/in/sehwan-jeon/) have gathered years of experience (and frustration) working on robots, and want to see a world where you can take robot reliability for granted.\n\n# Our Ask\n\nHave experience with ROS or any other robot middleware? Did we miss something above that you really need? Send us a message at [founders@cerulion.com](mailto:founders@cerulion.com)!\n\nWe always love (and are happy to provide) warm intros to people working on robots and automation.\n\nAnd of course, if you need help with your robot system, or are curious about any of this, we're happy to chat!\n\nP.S. — Please star our [GitHub repo](https://github.com/cerulion-inc/cerulion)!",
        "url": "https://www.ycombinator.com/launches/LlR-cerulion-fast-reliable-cross-platform-robot-middleware",
        "votes": 26,
        "created_at": "2024-09-02T15:47:55.198Z"
      }
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  },
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    "id": 29782,
    "name": "Laminar",
    "slug": "laminar",
    "former_names": [
      "Laminar AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f68c82dc13524e235198c783318ae1b1aa5d7432.png",
    "website": "https://laminar.sh",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Laminar is open-source observability for AI agents. Trace complex workflows, replay and debug agent runs, and detect anomalies across trajectories at scale.",
    "one_liner": "Understand why your AI agent breaks. Iterate fast to fix it.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1721337823,
    "tags": [
      "AIOps",
      "Developer Tools",
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/laminar",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/laminar.json",
    "year_founded": 2024,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/lmnr-ai/",
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    "github_url": "https://github.com/lmnr-ai/lmnr",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1771812,
        "full_name": "Robert Kim",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO @ Laminar (lmnr.ai). Previously, I interned at Palantir where I built semantic search package which now powers many internal AI teams and worked on resource allocation engine at core infrastructure team. I also interned at Bloomberg where I scaled market tick processing pipeline by 10x to 10M ticks/s.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/skull8888888/",
        "x_url": "https://twitter.com/skull8888888888",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1164aa2d27587dbe70dd830f8ae356064e709d5.jpg"
      },
      {
        "user_id": 1980084,
        "full_name": "Din Mailibay",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Laminar (laminar.sh). Previously, I have worked at Amazon for 2 years building and scaling critical payments infrastructure. Before that, I've spent a year creating ML infrastructure for a drug discovery biotech startup in Korea.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dinmukhamedm",
        "x_url": "https://twitter.com/din_mlb",
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      {
        "id": 98606,
        "title": "Laminar – Understand why your agent failed. Iterate fast to fix it.",
        "tagline": "Open-source observability platform for long-running agents — trace in one line, replay-debug from any step, detect patterns at scale.",
        "body": "Hey everyone, Robert from Laminar (YC S24) here. The entire observability space was built for request-response LLM apps. Nobody was building for Agents that run for 40 minutes and fail in ways you can't reproduce. So we did.\n\n## Tracing that actually helps you understand what happened\n\nMost observability platforms just collect data and wait until you go look at it. And when you do, you get a tree of spans. You click into one, read it, go back, click the next one, try to hold the context in your head. For a simple LLM call, that's fine. For an agent that ran for 30 minutes and made 200 decisions, it's practically useless.\n\nWe built Laminar's tracing to give you as much information as quickly as possible.\n\nOur trace timeline and **reader mode** lay out the agent's reasoning and actions as a clean, readable feed.\n\n![uploaded image](/media/?type=post&id=98606&key=user_uploads/1771812/73741d82-1719-4062-8cc2-9bd8de880010)\n\nYou open a trace and immediately see what the agent did, what it was thinking, and where things went wrong (we also capture and show application level exceptions). For browser agents, we record **full browser sessions synced with traces**. You literally see what the agent saw at every step → <https://laminar.sh/shared/traces/16fcd540-9583-8bcb-f8e0-8b15ec92c58d>.\n\nIf a trace is too complex to parse visually, you can **chat with it**: ask questions about what happened in natural language, instead of manually digging through hundreds of steps. We take into account the whole context of the trace, not just a single span.\n\n![uploaded image](/media/?type=post&id=98606&key=user_uploads/1771812/87cc29b4-f5c3-4924-ab96-5c52af1fae76)\n\nWe can confidently say that we have the best tracing DX on the market. It’s one line of code to integrate. Laminar SDK auto-patches vast majority of AI frameworks and SDKs, including **Claude Agent SDK, AI SDK, LiteLLM, Browser Use, Stagehand, OpenHands SDK**, and much [more](https://docs.laminar.sh/tracing/integrations/openai). We are the only platform that traces **Claude Agent SDK sub-agents**. When Claude delegates work to sub-agents, you get full visibility into that entire chain, not just the top-level call. Here’s an example of a trace <https://laminar.sh/shared/traces/3f9219d0-8691-daf7-836a-8874ca4c1d9f>.\n\n## The debugger\n\nThis is the feature we wished existed when we were building agents ourselves. When your agent fails 15 minutes into a run, the normal workflow is: restart from scratch, wait for it to reach the same state, hope it reproduces the failure. That's insane.\n\nLaminar starts a local dev server that connects to our platform. You can run your agent directly from our UI, and when a run fails, you go to the exact step where it went wrong. You tweak your prompt or tool definitions right in the UI. And you rerun from that step — with full context preserved.\n\nHere's how it works under the hood: our tracing SDK sits right before the LLM call boundary. When you rerun from a step, we mock all the LLM calls that happened before that point, replaying their original responses. This means the agent walks through its prior steps instantly without actually calling any LLMs and spending any tokens — and crucially, it properly restores external state along the way. If your agent was controlling a browser, the browser gets back to the exact page and DOM state. If it was working in a sandbox, the sandbox is restored. By the time execution reaches your breakpoint, everything — conversation history, tool state, external environment — is exactly as it was. You tweak your prompt, hit rerun, and the agent picks up from there with the real world intact.\n\nHere’s a demo of Laminar debugger.\n\n<https://www.youtube.com/watch?v=iSw8MM6tRvY>\n\n## Signals\n\n![uploaded image](/media/?type=post&id=98606&key=user_uploads/1771812/19af455c-7dfa-46e7-aa40-fbac2b4696a6)\n\nIn development, you care about individual runs. In production, you have thousands of runs and the question changes — it's no longer \"why did this run fail,\" it's \"what's going wrong across all my runs and how often.\"\n\nThat's what Signals solve. You write a short natural language description of what you want to detect — something like \"agent gets stuck in a retry loop\" or \"user gets frustrated and rephrases their request.\" Laminar runs this against every trace, extracts matching events, and then clusters them into patterns. So instead of manually sampling traces hoping to spot trends, you get a structured view of what's actually happening. We use this ourselves to monitor our own agents, and it catches things we'd never find by skimming through traces.\n\n## SQL editor, evals, and more\n\nAll of your data lives is accessible with built-in SQL editor (both in UI and API). You can run arbitrary queries against your traces, spans, and events — build custom dashboards, do ad-hoc analysis, or bulk-create datasets from production traces. Those datasets plug directly into our evals pipeline, so you can run evaluations on real production data instead of synthetic test cases.\n\n## Laminar\n\nLeading agent companies like Browser Use, OpenHands, Rye.com, Alai and many more use Laminar in production. Laminar is fully open source and extremely fast (written in Rust). Self-host it anywhere or use our managed platform (<https://laminar.sh>).\n\n**Our ask:**\n\n* If you're shipping agents and debugging is painful, we'd love to help — [founders@lmnr.ai](mailto:founders@lmnr.ai)\n* Intros to teams running long running agents would be huge\n* Star us on GitHub: <https://github.com/lmnr-ai/lmnr>\n\n🔗 <https://laminar.sh>",
        "url": "https://www.ycombinator.com/launches/PeQ-laminar-understand-why-your-agent-failed-iterate-fast-to-fix-it",
        "votes": 6,
        "created_at": "2026-03-09T00:35:53.684Z"
      },
      {
        "id": 89930,
        "title": "Laminar: The Missing Developer Tool for Browser Agents",
        "tagline": "Laminar captures browser session recordings and syncs them with agent traces.",
        "body": "Robert and Din from Laminar here. We created a new type of observability, which enabled us to build the SOTA open-source browser agent.\n\n# The Problem\n\nBrowser agents are powerful but notoriously difficult to develop and debug. When your agent fails, traditional traces just show a wall of text logs without context. You can't see what the agent was looking at when it made decisions, why it chose certain actions, or what exactly went wrong. It's like trying to debug a self-driving car without any camera footage – practically impossible.\n\nThis lack of proper observability tools has been the biggest barrier to building reliable browser agents.\n\n# The Solution\n\n![uploaded image](/media/?type=post&id=89930&key=user_uploads/1771812/0da20a73-6dc1-4d3d-8561-dc38dd8cb624)\n\nLaminar created the missing piece in browser agent development: complete visual context for every agent action and decision. Our platform records high-quality browser sessions and perfectly synchronizes them with agent traces. Now developers can:\n\n1. **See what the agent sees** - Watch the complete visual journey of your agent as it navigates websites\n2. **Pinpoint exact failure points** - Identify precisely where and why agents make mistakes\n3. **Debug with context** - Understand agent decisions with full visual and trace context\n\n# Results\n\nUsing our own tools, we built Index - open-source browser agent that achieves 92% on WebVoyager benchmark, setting a new state of the art. Index can handle everything from research tasks to complex automations in apps like Google Sheets. In other words, we created a reliable **API layer to any website** that you can simply prompt with natural language.\n\n# Integrations\n\nLaminar seamlessly integrates with AI browser frameworks like **Stagehand** and **Browser Use** - integration takes just 2 lines of code.\n\n# Ask\n\n* **Build better agents:** Try Laminar today for your browser and AI agent development => <https://lmnr.ai>\n* **Explore our open source agent:** Check out Index at [github.com/lmnr-ai/index](https://github.com/lmnr-ai/index)\n* **Dive into docs:** Comprehensive guides at <https://docs.lmnr.ai>\n\nWe're looking for early adopters and feedback! Reach out to us at [founders@lmnr.ai](mailto:founders@laminar.ai) and join our [discord](https://discord.com/invite/nNFUUDAKub).",
        "url": "https://www.ycombinator.com/launches/NOU-laminar-the-missing-developer-tool-for-browser-agents",
        "votes": 11,
        "created_at": "2025-04-28T22:25:16.716Z"
      },
      {
        "id": 83572,
        "title": "Laminar - Open-source observability and analytics for complex LLM apps",
        "tagline": "Observability and analytics which helps you track LLM apps in production.",
        "body": "**tldr: Laminar is an open-source developer platform that provides full instrumentation of LLM applications and combines trace data with event-based analytics.**\n\n**—**\n\nHey everyone, we’re Robert, Din, and Temirlan. Previously, we built infrastructure at Palantir, Amazon, and Bloomberg — now, we’re building an open-source platform to help developers understand how their LLM apps perform in production.\n\n![uploaded image](/media/?type=post&id=83572&key=user_uploads/1771812/e4140bd4-1ae9-453d-8457-2564c3820cbc)\n\n# Why do LLM apps need observability from day 0?\n\n![uploaded image](/media/?type=post&id=83572&key=user_uploads/1771812/81e46417-9b77-4368-ab0f-c04b8b84556e)\n\nLLMs are stochastic, and designing robust software around them (e.g., RAG, Agents) is an iterative process. A great observability platform not only facilitates this process, but actually makes it more productive. Hence, many AI developers adopt observability tools early on.\n\nLaminar goes beyond single LLM call tracing and provides tools for entire app instrumentation and powerful UI for full trace visualization, trace search, and session grouping.\n\n## What is different about analytics for LLM apps?\n\n![uploaded image](/media/?type=post&id=83572&key=user_uploads/1771812/29d881c9-de4c-416a-be18-d17638d67135)\n\nLLM apps produce traces, which are essentially very rich text. Traditional event-based analytics tools are not built for extracting metrics from this kind of data.\n\nCurrently, AI devs spend a good chunk of their time manually inspecting traces to understand usage patterns of their LLM apps. As they scale, manual inspection is not feasible anymore.\n\nLaminar tackles this problem by using other LLMs to process rich text outputs in the background. With Laminar, developers can define custom events, such as “USER SENTIMENT,” to collect user sentiments and track this metric at scale as they deploy their LLM apps into production.\n\nEach event is linked to the trace that produced it, and developers can understand when and why certain semantic events have happened. It gives developers deeper understanding of the performance and usage of their LLM apps.\n\n## Our ask\n\n* Star our repo → <https://github.com/lmnr-ai/lmnr>\n* Start tracing and tracking events with a managed version of our open-source platform here → <https://www.lmnr.ai>\n* [Join our Discord](https://discord.com/invite/nNFUUDAKub)\n* Connect us with anyone who builds software around LLMs and would greatly benefit from a tool like this!",
        "url": "https://www.ycombinator.com/launches/Ljw-laminar-open-source-observability-and-analytics-for-complex-llm-apps",
        "votes": 17,
        "created_at": "2024-08-29T15:16:33.971Z"
      },
      {
        "id": 82294,
        "title": "Laminar - Developer platform to ship reliable LLM agents 10x faster",
        "tagline": "Combining orchestration, evals, data, and observability into a single platform.",
        "body": "# tl;dr: Laminar is a developer platform that combines orchestration, evaluations, data, and observability to empower AI developers to ship reliable LLM applications 10x faster. Get started for free → [lmnr.ai.](https://www.lmnr.ai)\n\nHey everyone, we’re Robert, Din and Temirlan. Previously, we built infrastructure at Palantir, Amazon, and Bloomberg— now our goal is to help AI developers ship reliable LLM applications faster.\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/1a4a4a99-7e50-4bcd-86ff-8d2a5474a091)\n\n# ❌ The Problem\n\nLLMs are stochastic, and designing robust software around them (e.g. LLM agents) demands rapid iteration on core logic and prompts, constant monitoring and a structured way of testing new changes. Existing solutions are vertical and the burden of maintaining “glue” between them is still on the developers, which inevitably slows them down.\n\n# ✅ Our Solution\n\nLaminar is a dev platform that combines orchestration, evaluations, data, and observability to help AI devs to ship reliable LLM applications 10x faster. We provide:\n\n* a GUI to build LLM applications as dynamic graphs with seamless local code interfacing.\n* an [open-source package](https://github.com/lmnr-ai/lmnr-python) to generate abstraction-free code from these graphs directly into developers' codebases.\n* a state-of-the art evaluation platform that lets devs build fast and custom evaluators without managing evaluation infrastructure themselves.\n* a data infrastructure with built-in support for vector search over datasets and files. Data can be easily ingested into LLMs and LLMs can write to the datasets, creating a self-improving data flywheel.\n* a low latency logging and observability infrastructure.\n\n# Orchestration\n\nAs devs, we love to code everything ourselves, but we’ve realized the fastest way of iterating on LLM application logic is via graph UI. So, we’ve built the ultimate LLM “IDE”, where you build your LLM applications as dynamic graphs. You can build cyclical flows, route to different tools, and collaborate with your teammates in real-time!\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/be5a68c2-4440-4fd3-92e7-71c7436e13c8)\n\nGraphs can seamlessly interface with local code. “Function node” can call local functions on your server, right from our UI or our SDK. It’s a huge game changer for testing of LLM agents which call different tools and then circle the response back to LLMs. In the gif below, local function “save_result_to_db“, which runs on a server on my computer, is directly called from our UI.\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/17ade57e-5551-4db3-a036-0bed9956a79e)\n\nUsing our [open-source package](https://github.com/lmnr-ai/lmnr-python), you can generate zero-abstraction code from graph definition, which exactly replicates the graph functionality. Code is generated as pure functions right inside your repo, and you have total freedom to modify it however you want. It is extremely valuable for the devs who are tired of frameworks with myriads of layers of abstraction.\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/6955178c-ef6a-4b26-bac9-39fdebe6f1ac)\n\nYou can also deploy LLM pipelines as API endpoints on our infrastructure and easily call them via our Python/TS sdks.\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/d071c79f-9b3c-4376-9de1-c9cccd401e6b)\n\n# Evaluations\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/799c93b7-c273-4b65-ac0c-50a3e360952c)\n\nLaminar pipeline builder can be used to build custom and flexible evaluation pipelines that seamlessly interface with local code. You can start from something simple like exact matching and then build a custom LLM-as-a-judge pipeline tailored to your specific use case. You can upload large datasets and run evaluations on thousands of data points at the same time, and get all statistics about the run in real time. All of this without the pain of managing evaluation infrastructure yourself.\n\n# Observability\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/f6d0e26d-60d7-4371-a558-a36006d8cd43)\n\nWhether you decide to host LLM pipelines on our platform or generate code from graphs, all pipeline runs are logged and you can easily inspect the traces in the convenient UI.\n\n# Conclusion\n\nLaminar aims to deliver the best developer experience for AI developers. We remove unnecessary friction and burden of managing infrastructure. We let you focus on building the best AI products and ship them 10x faster!\n\n# Our ask\n\n* Start building reliable LLM agents right now for free → <https://www.lmnr.ai>\n* Check out [open-source code gen package](https://github.com/lmnr-ai/lmnr-python)\n* Connect us with anyone who builds software around LLMs and would greatly benefit from a tool like this!\n* [Join our Discord](https://discord.com/invite/nNFUUDAKub)",
        "url": "https://www.ycombinator.com/launches/LPK-laminar-developer-platform-to-ship-reliable-llm-agents-10x-faster",
        "votes": 97,
        "created_at": "2024-07-20T04:14:28.826Z"
      }
    ]
  },
  {
    "id": 29785,
    "name": "Simple AI",
    "slug": "simple-ai",
    "former_names": [
      "TBD"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdc2c60d479b7ebde0f22e07c40db2956ad5ff6c.png",
    "website": "https://www.usesimple.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Simple AI is building AI voice that sells. Our voice agents know every detail about every product SKU. They’re trained on the best reps, so every call is handled at top-performer quality. Simple AI agents already outperform trained live reps by 30% on conversion and upsell.",
    "one_liner": "AI voice that sells",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1723575608,
    "tags": [
      "Sales",
      "Call Center",
      "Operations",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/simple-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/simple-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/simple-ai-lab/",
    "x_url": "https://x.com/simpleailab",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/simple-ai-9d81",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdc2c60d479b7ebde0f22e07c40db2956ad5ff6c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a94fceaf082c5333ae921d07620fd86d0d203968.png"
    ],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 195464,
        "full_name": "Catheryn Li",
        "title": "Founder/CEO",
        "founder_bio": "Cat is co-founder and CEO of Simple AI. Previously, she spent 4 years at Y Combinator, where she led the software team responsible for Startup School, the YC Library, and YC's Co-Founder Matching site.\n\nShe has degrees in computer science and math from MIT.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/catherynli/",
        "x_url": "https://twitter.com/catheryn_li",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/620064600550892ac244ba1920f0db800033bba0.jpg"
      },
      {
        "user_id": 826075,
        "full_name": "Zach Kamran",
        "title": "Founder",
        "founder_bio": "Co-founder Simple AI. Previously working on Bookface at YC.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zach-kamran/",
        "x_url": "https://twitter.com/zach_kamran",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c017132cea7a1fcd3a8537863dd8bbe32a505c2e.jpg"
      }
    ],
    "jobs": [
      {
        "id": 74410,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/simple-ai/jobs/bYEgX5m-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $250K",
        "equity_range": "0.50% - 2.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "React",
          "Ruby on Rails"
        ]
      },
      {
        "id": 80385,
        "title": "Forward Deployed Software Engineer",
        "url": "https://www.ycombinator.com/companies/simple-ai/jobs/tuP4mK7-forward-deployed-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.10% - 1.48%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python"
        ]
      }
    ],
    "news": [
      {
        "title": "This AI Startup Is Taking Over Phone Sales",
        "url": "https://www.youtube.com/watch?v=6iilze3aDkU",
        "date": "Feb 18, 2026"
      },
      {
        "title": "Simple AI Raises $14M For Voice AI Sales Agent ",
        "url": "https://www.upstartsmedia.com/p/simple-ai-voice-sales-agent-omaha-steaks",
        "date": "Feb 09, 2026"
      }
    ],
    "launches": [
      {
        "id": 86078,
        "title": "Simple AI - AI phone assistant for consumers",
        "tagline": "Simple makes phone calls so you don't have to",
        "body": "**We’re thrilled to announce that starting today, Simple AI Phone Assistant is available on the** [**App Store**](https://www.usesimple.ai/join?inviteCode=launchyc).\\\n\\\nSimple AI can make AI powered phone calls on your behalf. Simple can wait on hold and navigate phone trees. Simple can make phone calls in 33 countries using 15 different languages, or even call 10 different stores at the same time.\n\n![uploaded image](/media/?type=post&id=86078&key=user_uploads/195464/3b0d8227-3cb8-443c-a8a4-fc0796c390c9)\n\nWe tested a beta version of the app extensively with our initial set of 1000 users. We wanted to make sure Simple could successfully perform a variety of tasks, including: making restaurant reservations; finding and booking doctors, dentist, and vision appointments; asking grocery stores, hardware stores, and other retail stores for availability or stock; calling customer support to ask for help with accounts, billing, and more.\\\n\\\nWe started Simple AI with the simple vision to bring the power of AI to regular people. We went through YC’s Summer 24 batch. During YC, we saw many startups working on ideas that leverage the new AI and LLM technology to upend various industries. But no one was working on AI for consumers.\n\nIt turns out people really hate making phone calls, and our AI is pretty good at it.\n\nIn fact, it’s _better_ than a human at certain tasks. Zach and Cat both needed a new eye doctor and independently set out to find one that would 1) take our new insurance, and 2) had availability soon. Zach did some research on the internet and got an appointment 3 weeks out. Cat had Simple call 15 optometrists near Potrero Hill and got hers in 6 days.\n\nWe give people access to an AI assistant at their fingertips. Read more about our launch on [our blog](https://usesimple.ai/blog/launch) or try it out today at [https://usesimple.ai/join](https://usesimple.ai/join?inviteCode=launchyc).\n\n### **Team**\n\n[Zach](https://www.linkedin.com/in/zach-kamran/) and [Catheryn](https://www.linkedin.com/in/catherynli/) met at YC, where they spent 4 years building consumer products like Bookface, Startup School, and YC’s co-founder matching site.\n\n![uploaded image](/media/?type=post&id=86078&key=user_uploads/195464/a59696cc-5d70-4c37-bdec-dafdba687f55)\n\n",
        "url": "https://www.ycombinator.com/launches/MOM-simple-ai-ai-phone-assistant-for-consumers",
        "votes": 17,
        "created_at": "2024-12-05T18:07:13.588Z"
      },
      {
        "id": 83003,
        "title": "Simple AI - a better Siri",
        "tagline": "Simple AI is what Siri should be. We make it 10x easier for you to use your favorite consumer apps.",
        "body": "[Simple AI](https://www.usesimple.ai/) is what Siri should be. We make it 10x easier for you to use your favorite consumer apps: Amazon, Uber, Doordash, Venmo, Maps, etc. We can also help you do research and book anything from restaurants and flights to that local minigolf place that doesn’t have a website.\n\nThe consumer products we use every day are often confusing, adversarial, and sometimes downright deceptive. It makes sense when you realize that Amazon and Google’s primary customers are merchants and advertisers, not you and me.\n\nOur goal is to help you cut through the noise and go from “having an intent” to “getting it done.”\n\n### **Our ask**\n\nIf you have an iPhone, try out our mobile app! Please reach out to [founders@usesimple.ai](mailto:founders@usesimple.ai) or join the [waitlist](https://www.usesimple.ai/) and we’ll onboard you soon.\n\n### **Team**\n\n[Zach](https://www.linkedin.com/in/zach-kamran/) and [Catheryn](https://www.linkedin.com/in/catherynli/) met at YC, where they spent 4 years building consumer products like Bookface, Startup School, and YC’s co-founder matching site.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=83003&key=user_uploads/195464/c3d98f3d-7cd8-408e-80aa-406f299121a0)\n\n",
        "url": "https://www.ycombinator.com/launches/Lal-simple-ai-a-better-siri",
        "votes": 92,
        "created_at": "2024-08-13T19:45:00.331Z"
      }
    ]
  },
  {
    "id": 29787,
    "name": "Lilac Labs",
    "slug": "lilac-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf6d969f27356db2fc06ab6ccaa28ee3d3ec43ef.png",
    "website": "https://www.drive-thru.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Lilac, we automate the person taking order at the drive thru with a voice AI. We're building this for Quick Service Restaurants (QSRs) dealing with an historical labor shortage and rising wages.\r\n\r\nPrevious attempts at drive-thru voice ordering are costly to implement and have failed to deliver the accuracy and latency needed. It's now possible to build a voice interface that passes the threshold for a great customer experience.\r\n\r\nIn the United States, there are 200,000 Drive-Thrus handling 6 Billion visits a year. At 3 minutes per order, that's 34,000 human years spent on taking orders annually. Per location, on average we can deliver around $100,000 of value in terms of labor savings, upsell revenue lift, and training costs.",
    "one_liner": "We automate the person taking orders at drive-thrus with a voice AI",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1721698216,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/lilac-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/lilac-labs.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ai-lilac-labs/",
    "x_url": "https://twitter.com/LilacLabs",
    "fb_url": "https://www.facebook.com/profile.php?id=61562722752254",
    "cb_url": "https://www.crunchbase.com/organization/lilac-labs",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf6d969f27356db2fc06ab6ccaa28ee3d3ec43ef.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 802295,
        "full_name": "Tony Kam",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at OpenTag. Previously at Tesla and founded Lilac Labs (S24). Studied EECS at Berkeley.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/tonyshekkam",
        "x_url": "https://x.com/tonykamshek",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79ba45d01b5c5889e6430069721b3a279fa04e29.jpg"
      },
      {
        "user_id": 1378729,
        "full_name": "Shelden Shi",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO at OpenTag. Previously founded Lilac Labs (S24). Studied CS and CogSci at UC Berkeley.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/sheldenshi",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92d85249cf52d37811253ebfde1164c62804c115.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 82428,
        "title": "Lilac Labs: Drive-thru Order Taking with Voice AI",
        "tagline": "We automate the person taking orders at the drive-thru with voice AI.",
        "body": "# **TLDR: Lilac Voice is an AI team member that takes orders at your drive-thru.**\n\n# ❌ **Problem:** **The quick service restaurant (QSR) industry is desperate for solutions to reduce labor costs.**\n\nGrappling with rising wages, high staff turnover, and an unprecedented labor shortage, quick-service restaurants (QSRs) have increased prices to maintain profitability, but have ran into the limit of what consumers are willing to accept. Drive-thru’s makes up 70% of QSR revenue as a channel and is a significant opportunity for automation. In the U.S., there are 200,000 Drive-Thrus that handle 6 billion visits a year.\n\n# ✅ **Solution: We automate the person taking orders at the drive thru with a voice AI.**\n\nLilac Voice is a multi-lingual AI agent that takes orders from customer through the drive-thru speaker post and sends it directly into the kitchen. It’s perfectly trained, understands the menu, and can answer questions about ingredients and allergies.\n\nWith Lilac Voice, QSR’s with drive-thrus can: 1) save labor cost of up to 1 full-time employee, 2) boost revenue through consistent and relevant upsell, 3) improve the customer experience with faster speed of service and higher order accuracy, and 4) improve staff retention!\n\nAs an example: In CA, as of April 1st, the fast food minimum wage grew from $16 to $20. For a drive-thru operating 16 hours a day, 365 days a year, that’s $100,000+ in labor savings alone.\n\n# **🙋Our Ask: How you can help.**\n\n**Share this post!** We’re looking for more customers to onboard for this Summer! We’d love intros to franchisee operators, restaurant groups, or leadership at corporate chain.\n\n**Quick blurb to copy & paste:** Lilac Labs is offering free pilots for their voice AI drive-thru solution. The team consists of ex-Tesla engineers and Berkeley researchers. Learn more at [www.drive-thru.ai](http://www.drive-thru.ai). For a demo and free pilot, contact [tony@lilaclabs.ai](mailto:tony@lilaclabs.ai).\n\n![uploaded image](/media/?type=post&id=82428&key=user_uploads/802295/32bd31ff-99e4-4828-bb8c-1f53091e8ab1)\n\n\\- [Tony](https://linkedin.com/in/tonyshekkam) and [Shelden](https://linkedin.com/in/sheldenshi)",
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    "long_description": "Refactor works closely with large organizations across healthcare, retail, and logistics to safely tackle their most ambitious AI use-cases in record time. We focus on building autonomous systems that call, click, and navigate legacy software systems. We have worked with companies serving tens of millions of customers and with $50B+ annual revenue. ",
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        "id": 83423,
        "title": "💥 Blast - Deploy AI safely and reliably at scale",
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        "body": "**TL;DR:** [Blast](https://blastsec.com/) provides a platform to help enterprises turn their generative AI prototypes into reliable apps that can be confidently deployed at scale.\n\n—\n\nHi everyone, we're Daniel and Arnav, and we're building Blast.\n\n**Problem: The mass adoption of LLMs across Fortune 500s is blocked by safety and reliability concerns.**\n\nEvery large enterprise is trying to deploy their LLM-based apps/agent POCs at scale.\n\nUnfortunately, prohibited content, hallucinations, and other failures leave enterprises open to brand damage and legal liability. For example, Air Canada was forced to honor an out-of-policy bereavement discount that its chatbot had offered to a grieving passenger.\n\nLegacy enterprises in particular lack the talent and the tooling to solve these issues.\n\n![uploaded image](/media/?type=post&id=83423&key=user_uploads/1723096/951ce83d-cdbb-485e-9a96-28dbd00636bd)\n\n**Solution:**\n\nWe’re helping large enterprises build more reliable LLM apps.\n\n1. **Evaluation platform:** Our red teaming tools enable developers to probe their end-to-end system with multi-turn conversations aimed at uncovering content/policy violations.\n2. **Governance models:** We help enterprises detect, fix, and log failures in production.\n\nWe started two months ago, and we are piloting with a Fortune 50 company.\n\n**The Team:**\n\n👋 Hey, it’s [Daniel](https://www.linkedin.com/in/daniel-zamoshchin/) and [Arnav](https://www.linkedin.com/in/arnav-joshi-516516154/)!\n\n![uploaded image](/media/?type=post&id=83423&key=user_uploads/1723096/862ed7e0-39d9-40e6-bf92-149976e5ed26)\n\nWe met ten years ago in middle school and have been close friends ever since. We went to high schools in different states but reconnected at Stanford, where we were freshman year roommates. Daniel previously worked on AI security research at Stanford. Arnav previously worked on autonomous driving research at NVIDIA and in macro at Bridgewater.\n\n**Our Asks:**\n\n* We’d love intros to anyone working in security or AI governance at large enterprises. Email us at [founders@blastsec.com](mailto:founders@blastsec.com)\n* If you’re interested in adversarially testing your AI apps/agents or evaluating your guardrails, we’d love to talk! Please email us above!",
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        "tagline": "We use AI to automate hospital shift scheduling, eliminating the need for full-time physician schedulers while ensuring efficient and compliant staffing. ",
        "body": "# **TL;DR**\n\nHospitals use complex, unintuitive scheduling software **that still requires full-time administrators** to manage it. Entire teams spend **hours juggling shifts, fixing errors, and handling last-minute changes** — leading to inefficiencies, staff dissatisfaction, and **billions in lost productivity and resources.**\n\n**YouShift replaces manual work with AI-powered automation** that creates **fair, efficient, and compliant schedules.**\n\n# **The Problem: Shift scheduling is a mess**\n\nMost hospitals rely on **manual scheduling processes and fragmented, unintuitive software** platforms that don't integrate. Schedulers and physicians spend hours adjusting shifts and then manually transferring data between disconnected systems, wasting time, increasing errors, and creating inefficiencies.\n\nBad scheduling impacts **hospital efficiency, staff well-being, and patient care** — a problem that healthcare simply can't afford.\n\n# **The Solution: AI scheduling that works for everyone**\n\nUnlike traditional scheduling tools, **we don’t just digitize spreadsheets — we replace them with an intelligent system that optimizes scheduling** for both staff and hospitals.\n\n<https://youtu.be/GgKVlw3L-GA>\n\n# **Scheduling is just the beginning…**\n\nWe're not stopping at scheduling. Our vision is to build the **all-in-one healthcare workforce management system** — think **Rippling for healthcare**. This includes:\n\n* Payroll & time tracking\n* Credentialing & compliance\n* Hiring, staffing analytics & workforce optimization\n\n# **The Backstory: Why we’re building this**\n\nWe’ve seen this problem firsthand — we all grew up seeing **doctors in our family** who have struggled with chaotic schedules, last-minute changes, and burnout. Hearing their frustrations made us realize how **outdated the system is**, and we knew technology could do better.\n\nWhile still undergrads at Harvard, we decided to team up and tackle this problem. Now, more than 1000 doctors across Europe and the US use YouShift to create their schedules.\n\n![uploaded image](/media/?type=post&id=88083&key=user_uploads/1884173/df3b1762-ce6d-45dc-8c96-42423fc5be40)\n\n**Our Ask**\n\nWe’re looking to connect with **hospital leaders and medical teams** struggling with scheduling.\n\nIf you or someone in your network deals with scheduling challenges, let’s talk! We’d love to hear from you and see how YouShift can help.\n\nReach out or introduce us — we’d greatly appreciate it!\n\n![uploaded image](/media/?type=post&id=88083&key=user_uploads/1884173/7905dd19-afc5-4d0c-884e-f392159252ef)\n\n",
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        "url": "https://www.freightwaves.com/news/cartage-secures-3-3m-to-support-shippers-and-carriers-with-automation",
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        "title": "Cartage: Autonomous freight operations 🚚",
        "tagline": "Service-as-software that replaces freight brokers and logistics teams.",
        "body": "**_Tl;dr:_** You don’t need people to coordinate freight. We replace brokers and logistics teams, cut costs by 30%, and embed visibility into shipping.\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/0930f62f-8507-486b-a01b-846b7bceea4e)\n\n**🫠 Problem**\\\nManufacturers and distributors in North America spend $400 billion every year on third-party vendors to coordinate freight shipments for them. These vendors are inefficient and opaque and inflate freight spend by up to 50%.\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/029b60ed-1218-4b77-ab82-d9e67e073503)\n\n**😁 Solution**\\\nCartage is a service-as-software system that coordinates freight shipments between shippers and trucking companies. We replace freight brokers and internal logistics teams. By requiring minimal headcount to coordinate freight, we afford margins traditional vendors can’t, reducing freight costs for shippers by up to 30%.\n\nIn addition to cheaper shipping costs, we embed technology into the shipping experience, providing all stakeholders visibility and transparency on shipments.\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/3986ca96-2699-4343-9aa8-03854af6c159)\n\n**😁 Impact**\\\nWe started by selling software to freight brokers, growing to $150k ARR in under 4 months full-time, but since pivoting to replacing brokers, we’ve received immediate love from shippers.\n\nWe’ve signed 8 shipper customers since launching in early August, and have acquired [Westcore Logistics](https://westcorelogistics.com/), [Canada’s fastest-growing logistics company](https://www.newswire.ca/news-releases/westcore-logistics-places-no-3-on-the-globe-and-mail-s-fifth-annual-ranking-of-canada-s-top-growing-companies--867532237.html) in 2023. We are on pace to coordinate more than $2m in freight shipments over the next six months.\n\n**👨‍💻 Team**\\\n[Abdul Basharat](https://www.linkedin.com/in/abashara/) (CEO) and [Josh Lampen](https://www.linkedin.com/in/joshlampen/) (CTO) were early employees at [Rose Rocket (YC S16)](https://www.roserocket.com/), a leading ERP solution for trucking companies. [Harman Sahota](https://www.linkedin.com/in/harmansahota/) (COO) founded Westcore Logistics, scaling it from 0 to $50M+ in revenue within four years.\n\nFun facts:\n\n* Abdul trained as a military pilot\n* Josh played water polo for Team Canada\n* Harman started brokering freight at 14\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/773960d0-c363-46a0-aca9-7b09af81e61b)\n\n",
        "url": "https://www.ycombinator.com/launches/Lgg-cartage-autonomous-freight-operations",
        "votes": 47,
        "created_at": "2024-08-24T19:24:05.802Z"
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        "full_name": "Jacob Tucker",
        "title": "Founder/CEO",
        "founder_bio": "Jacob Tucker was one of the first investment analysts hired to work on the BCRED product at Blackstone, which revolutionized access to alternative investments for individual and private wealth investors. He received an M.S. in Computer Science and B.A. in Economics from The University of Chicago.",
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      {
        "id": 86672,
        "title": "Winford Wealth: Your Intelligent AI Meeting Assistant, Built for Financial Advisors",
        "tagline": "Winford saves you 7 weeks per year by automating your notetaking, integrating with your tech, and creating meeting analytics to improve the client experience.",
        "body": "# The Team\n\n**Jacob Tucker** (CEO) was one of the first investment analysts hired to work on the BCRED product at Blackstone, which revolutionized access to alternative investments for individual and private wealth investors. He received an M.S. in Computer Science and B.A. in Economics from The University of Chicago.\n\n**Rohan Prashant** (CTO) is a former Microsoft software engineer instrumental in developing AI features. He received a B.S.E. in Computer Science from the University of Michigan.\n\nTogether, they have brought their expertise to create an AI Meeting Assistant in collaboration with dozens of Registered Investment Advisors (RIAs).\n\n![uploaded image](/media/?type=post&id=86672&key=user_uploads/1406140/b2fa2168-9be1-4625-a532-9fd86580061b)\n\n# One of the Most Annoying Things About Being A Financial Advisor\n\nFinancial Advisors manage dozens of clients with differing financial profiles, plans, and needs. Most RIAs we have collaborated with meet with clients on a quarterly basis, at a minimum.\n\nTaking detailed and compliant notes during meetings occupies 40% of an advisor’s focus on average, or requires an extra person in the meeting just to take notes.\n\nIn addition to the stacks of notes to organize, each client meeting also requires copious prep time to refresh on past interactions, as well as manual data entry into a CRM following the meeting.\n\nCombined, these tasks often take seven work weeks or more per year of an advisor’s time.\n\n# Save Time, Get Compliant, and Improve Your Client Experiences with Winford\n\n<https://www.youtube.com/watch?v=LT92E0GtNc0>\n\nWinford connects to your existing meeting provider (e.g. Zoom, Teams, WebEx) without a meeting bot and automatically takes detailed notes on your client meetings in your style. Use our mobile-compatible site to capture in-person meetings.\n\nOur platform provides you with full control to configure certain security features, including the ability to ensure no recordings are stored.\n\nAhead of an upcoming client meeting, easily access notes from past interactions, and even view customized one-pagers and draft meeting agendas to help you get prepared.\n\nWhen you provide our team with sample follow-up emails in your firm’s format, we create customized templates that tee up follow-up emails leveraging key meeting points.\n\nYour tech stack (e.g. Salesforce) is linked directly to Winford based on your own customized settings - so your data is right where you need it.\n\nWe also provide unique analytics to help you better understand and recall client sentiment. For instance, review moments where clients positively or negatively reacted to new information, as well as access a compiled list of client questions and post-meeting action items.\n\n![uploaded image](/media/?type=post&id=86672&key=user_uploads/1406140/5d1fa628-60f1-4b4a-a92f-2e0d0907c30f)\n\n# Our Ask\n\nIf you know any financial advisors, RIA team members, or others who work in the advice space, please put us in touch. We’ll get back to you very quickly at [founders@winfordwealth.com](mailto:founders@winfordwealth.com).\n\nIf you yourself fall into one of those categories, please reach out! We’re happy to provide you with a 30-Day free trial!",
        "url": "https://www.ycombinator.com/launches/MXw-winford-wealth-your-intelligent-ai-meeting-assistant-built-for-financial-advisors",
        "votes": 38,
        "created_at": "2025-01-08T15:09:13.499Z"
      },
      {
        "id": 82812,
        "title": "Winford AI - AI tools for financial services professionals",
        "tagline": "We help financial services firms make better decisions and streamline manual tasks",
        "body": "**tl;dr:** If you're a finance professional who has ever been frustrated by tedious tasks or curious about how AI can help you, [Winford AI](https://winford.ai) is designed for you. Get in touch at [founders@winford.ai](mailto:founders@winford.ai)\n\n### **The Team:**\n\n[Jacob](https://linkedin.com/in/jacobtucker) (Co-Founder & CEO) spent several years as a private credit investor at Blackstone, where he was involved in the underwriting of new deals and management of existing positions.\n\n[Rohan](https://linkedin.com/in/rohanprashant) (Co-Founder & CTO) was previously a software engineer at Microsoft and NASA.\n\n![uploaded image](/media/?type=post&id=82812&key=user_uploads/1406140/c505d330-86b9-4529-bc27-001d53ca8405)\n\n### **The Problem:**\n\nFinancial services firms are stuck in the middle ages. Professionals often face the daunting task of navigating complex documents, compliance requirements, and manual data entry. Prospecting and ever-increasing client mandates make managing growing loads a challenge.\n\n### **Our Ask:**\n\n* **Introductions:** If you or someone you know is in financial services, we’d love to connect. Please feel free to reach out or make an introduction at [founders@winford.ai](mailto:founders@winford.ai) or through [LinkedIn](https://linkedin.com/in/jacobtucker).",
        "url": "https://www.ycombinator.com/launches/LXg-winford-ai-ai-tools-for-financial-services-professionals",
        "votes": 25,
        "created_at": "2024-08-07T14:42:39.403Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "RiskAngle delivers fast, accurate summaries of unstructured medical records for insurance companies and law firms. Our AI-powered platform enables users to streamline underwriting, expedite claims processing, and prepare cases with confidence.",
    "one_liner": "AI medical summaries in minutes",
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    "industry": "B2B",
    "subindustry": "B2B",
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        "founder_bio": "Startups @ Anthropic! Previously founded RiskAngle (acquired in 2025).",
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        "full_name": "Yooni Ahn",
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        "founder_bio": "Yooni is the CEO and co-founder @ Odo. She built products and business at Robinhood (Robinhood Gold, Customer Care during Gamestop, Original Content) for five years. Before that, she did consulting at Oliver Wyman where she spent endless hours writing government proposals. She studied public policy at Princeton University.",
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        "full_name": "Andrew Wagner",
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        "founder_bio": "Andrew is the CTO and co-founder @ Odo. He was a staff engineer at Robinhood and spent many years freelancing where he developed outsized skill in taking projects from 0 to 1. It's there that he built a deep empathy for businesses struggling to balance billable work with finding new contracts.",
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      {
        "id": 99737,
        "title": "Odo: Stop checking your own email",
        "tagline": "Odo monitors your inbox, flags only the important emails, and drafts replies for you",
        "body": "**TLDR**\n\nOdo monitors your inbox, flags only the important emails, and drafts replies for you. Get early access at [useodo.com](http://useodo.com).\n\n<https://youtu.be/GoNZ7ZjTf2I>\n\\\n**Problem**\n\nHave you woken up in the middle of the night because you forgot to handle an important email?\n\nYou’re reading hundreds of emails a day just to figure out which five actually need a response. Then you’re manually writing replies you’ve written a dozen times before. Meanwhile, the one email that actually mattered got buried under Linkedin notifications “We’ve got a great role for you!”\n\n**Solution**\n\nOdo is an email assistant that flags what’s important and drafts replies in your own voice. You’ll never miss an important message again!\n\n**Brief:** Odo scans your inbox overnight and gives you a daily brief: what needs your attention and replies for you to review. Odo drafts in your own voice instead of sounding like AI.\n\n**Chat:** Need to follow-up with 40 prospects from a conference? Draft an investor update and bcc all 30 investors? Just ask Odo.\n\n**Inbox:** Your email is pre-sorted into conversations, notifications, news, and cold outreach so important emails rise to the top.\n\n**About us**\n\nWe met at Robinhood where Yooni spent 5 years across product and biz ops and Andrew was a staff engineer. Yooni ran sales for multiple startup ideas and kept losing sleep over emails falling through the cracks. Andrew ran his own email server for 10 years and has been itching to fix email.",
        "url": "https://www.ycombinator.com/launches/Pwf-odo-stop-checking-your-own-email",
        "votes": 17,
        "created_at": "2026-04-14T16:51:05.107Z"
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      {
        "id": 81408,
        "title": "💪 Odo: Win more government contracts",
        "tagline": "We save 80% of time drafting proposals so you can win more government contracts at a fraction of the cost.",
        "body": "**TLDR: Odo helps businesses find relevant government contracts, draft proposals, and analyze wins and losses through public records sourcing.**\n\n**🙏 Ask:** If you are a company selling to state or local government, we can help expedite your sales cycle. Book a demo [here,](https://www.odo.do/book-demo/) and we’ll draft **one proposal for free.**\n\nIf you know anyone who sells professional services or software to the government, we would appreciate an intro! Please reach out to us at [founders@odo.do](mailto:founders@odo.do). \n\n❗ **Problem**\n\nState and local governments buy $1.5TN worth of products and services from businesses every year, ranging from consulting and constructions, to yes, cream cheese and bagels. However, the process of winning government contracts today is extremely manual and opaque. Businesses can’t easily find relevant contracts, spend 40-80 hours drafting proposals, and don’t get feedback on why they won or lost a contract.\n\n![](https://media4.giphy.com/media/d9CX7F5Um8vzZIZOp4/giphy.gif?cid=6367ce563r70btn8vz9w1qmlmfzt1zke0dxxs2d5atm5vq8m&ep=v1_gifs_search&rid=giphy.gif&ct=g)\n\n**🎉 Solution**\n\nOdo is the first AI-powered platform to help businesses win state and local government contracts. Odo can find relevant contracts, draft proposals, and analyze wins and losses through public records sourcing. Our customers have saved up to **80% of their time** spent drafting proposals and **doubled their government sales pipeline.**\n\n![uploaded image](/media/?type=post&id=81408&key=user_uploads/1293727/84ab8966-6296-4433-a1b2-79ab5d27955e)\n\n**🙏 Ask**\n\nIf you are a company selling to state or local government, we can help expedite your sales cycle. Book a demo [here,](https://www.odo.do/book-demo/) and we’ll write **one proposal for free**.\\\n\\\nIf you know anyone who sells professional services or software to the government, we would appreciate an intro! Please reach out to us at [founders@odo.do](mailto:founders@odo.do).",
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        "created_at": "2024-06-10T16:39:36.721Z"
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        "founder_bio": "Cofounder of Haystack Software. Experienced with AI and Cloud technologies. Previously worked in the High-Performance Computing division at AWS and received a Master's Degree in Machine Learning from Columbia University",
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        "title": "Haystack Editor: An AI-powered code editor built on top of a digital canvas",
        "tagline": "Haystack automates the tedious parts of software development so that engineers can focus on the important stuff!",
        "body": "**TL;DR:** Navigating and refactoring in codebases sucks! No engineer likes going through mountains of files to find the right spots where they want to make changes and then do the complicated plumbing to make those changes work.\n\n[Haystack](https://haystackeditor.com/) is a standalone code editor that makes this much faster so engineers can focus on actually writing code. In Haystack, users can explore and edit their code on a 2D canvas with a navigational copilot assisting them every step of the way.\n\n![uploaded image](/media/?type=post&id=83226&key=user_uploads/1538506/57802433-cc2e-4a5a-992e-ad67c23a570c)\n\n**Our Ask**: Engineers have really enjoyed the smooth experience of editing their codebase in Haystack. Join them at [https://haystackeditor.com](https://haystackeditor.com/)! It takes just a single click to import your VS Code extensions and settings, so you can get to coding straight away.\n\nHi everyone! We’re [Akshay Subramaniam](https://www.linkedin.com/in/akshay-s-152126139/) and [Jake Yatvitskiy](https://www.linkedin.com/in/jake-yatvitskiy/), and we’re building Haystack.\n\n![uploaded image](/media/?type=post&id=83226&key=user_uploads/1538506/1c4592f6-265d-44af-b2d6-80b8f1664504)\n\n**The Problem:**\\\nHaystack was born out of our frustrations with working in large and mature codebases, specifically with navigating and editing functional flows. A great example of a functional flow is the code flow for adding an item to the Amazon shopping cart — from the database layer all the way to the frontend UI.\n\nOftentimes dealing with such flows would involve navigating a maze of files and functions, and making any edits would involve a lengthy process of doing corresponding downstream/upstream plumbing.\\\n\\\n**The Solution:**\n\nHaystack attempts to address this in the following ways:\n\n1. It allows you to explore your codebase as a directed graph of functions, classes, etc, on the canvas. We feel like this better fits how your mind understands your codebase and helps you find and alter functional flows more intuitively.\n2. It has a navigational copilot that makes edits across files or functions much easier. After you make some changes, Haystack will try to predict your next action and create functions/methods or refactor upstream/downstream code for you. Haystack will surface these speculative edits on the canvas in a way that you can easily dismiss or incorporate them, allowing you to make large-scale changes with a few clicks or keystrokes.\n\n[See Haystack in action!](https://www.youtube.com/watch?v=c2uZnR5D_cc)\\\n\\\n\\\n**Our Ask, Again:**\\\nDownload and use Haystack at <https://haystackeditor.com/>!",
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        "created_at": "2024-08-20T16:49:36.240Z"
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    "subindustry": "B2B -> Legal",
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    "url": "https://www.ycombinator.com/companies/ai-2",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Caleb Harris",
        "title": "Founder",
        "founder_bio": "Co-founder/CEO of &AI. Previously, I studied CS + Neuro at MIT, did technical consulting in patent litigation for Fish & Richardson/Gibson Dunn, built out the data science stack at InsideTracker, and conducted ML research at the MIT Media Lab.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/caleb-m-harris",
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        "full_name": "Herbert Turner",
        "title": "Founder",
        "founder_bio": "Co-founder/CTO of &AI. Previously, I studied Aero/Astro + CS at MIT, worked on autonomous surface vehicles and applied ML research, fine-tuned LLMs at Google, and was a founding engineer at Kino AI.",
        "is_active": true,
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      {
        "id": 81893,
        "title": "📃 &AI - Automate patent due diligence in an instant",
        "tagline": "Comprehensively find prior art, produce robust claim language, invalidate weak patents, and more.",
        "body": "Hey everyone, we’re [Caleb](https://www.linkedin.com/in/caleb-m-harris/) and [Herbie](https://www.linkedin.com/in/herbert-turner-1b511b238/)!\n\nWe met almost six years ago while studying computer science at MIT, and have spent the last few months building [&AI](https://www.tryandai.com/) after discovering how much attorney time is spent on tedious and repetitive aspects of patent due diligence.\n\n### **tl;dr**\n\n&AI is a platform that streamlines patent due diligence. By using AI to understand the inventive aspects of patents and automate the creation of work products, we enable attorneys to instantly and comprehensively find prior art, produce robust claim language, invalidate weak patents, and more.\n\n### ❌ The Problem\n\nImagine a law firm is tasked with determining the strength of a patent or set of patent claims. This is an everyday problem for patent attorneys and could be for anything from a patent application to an IP litigation case. \n\nTo start, the attorneys need to conduct a prior art search. Typically, either:\n\n1. The attorneys meet with an outsourced search provider and give them their claims and features of interest. After a week or two, the provider returns with 5-10 reasonable documents, charging up to $10k.\n2. The attorneys manually use boolean keyword searches through databases like Google Patents and decades-old legal research platforms. Over the course of 10-20 billed hours, they have found 5-10 reasonable documents.\n\nIn either case, they have already contributed a massive amount of resources to this project without much validation that they are going in the right direction.\n\nWith their prior art in hand, the attorneys must evaluate the claims with respect to the art. This involves drafting work products like claim charts, which require several read-throughs of each document to identify and map the relevant language over the course of 20-40 billed hours. By now, the attorneys should have a good idea of the strength of the claims, whether they need to be revised, and whether they may be invalid.\n\n**What if they haven’t found the invalidating art?** They repeat the process. Over and over again, for every patent, for every case. Due diligence can continue almost indefinitely, and it’s only limited by attorney time and client budgets.\n\n### ✅ The Solution\n\nNow, imagine the law firm is using &AI. **Upon receiving the patent or claims, they find the invalidating prior art and export comprehensive claim charts in seconds!** &AI enables both attorneys and inventors to conduct their patent due diligence at a speed, scale, and quality that has never before been possible.\n\nIn minutes, we can analyze and compare the inventive aspects of thousands of patents, allowing attorneys to spend less time on tedious work and more time developing their arguments. \n\nWe’ve built our platform to be broadly applicable and easy to use. Users can leverage our AI for patent applications, responses to office actions, and invalidity, with use cases of freedom to operate, infringement, and portfolio analysis coming soon.\n\n![uploaded image](/media/?type=post&id=81893&key=user_uploads/1438386/a4381771-c0b5-4b35-9acf-72f3b6ab7183)\n\n### 🤲 The Ask\n\nWe’re actively looking to onboard more tech-forward law firms and company in-houses working with patents. We’d also love to hear directly from individual patent applicants and owners about how our tools might serve them. If you’re interested, please connect with us at [founders@tryandai.com](mailto:founders@tryandai.com) and we’d love to talk about working together!",
        "url": "https://www.ycombinator.com/launches/LIr-ai-automate-patent-due-diligence-in-an-instant",
        "votes": 33,
        "created_at": "2024-07-02T17:10:50.878Z"
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        "founder_bio": "Made >$100M in growth experiments at Uber. Now building tryhelium.com to personalize upsell flows. We help consumer subscription companies double their conversion. ",
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        "full_name": "Shishir Jakati",
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        "title": "Founding Sr Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/helium/jobs/n4tOZ3R-founding-sr-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "visa": "US citizen/visa only",
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      {
        "id": 88274,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/helium/jobs/lK6JrVU-founding-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/helium/jobs/vUO2UVU-growth-operations",
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        "title": "Chief of Staff ",
        "url": "https://www.ycombinator.com/companies/helium/jobs/u2Indcw-chief-of-staff",
        "location": "San Francisco, CA, US",
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        "id": 104563,
        "title": "Social Media & Growth Intern",
        "url": "https://www.ycombinator.com/companies/helium/jobs/87HXEOP-social-media-growth-intern",
        "location": "San Francisco, CA, US",
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        "id": 82822,
        "title": "🎈 Helium: Improve your paywall at the speed of thought",
        "tagline": "Launch and personalize paywalls without code.",
        "body": "![uploaded image](/media/?type=post&id=82822&key=user_uploads/538515/d43da3c4-aab2-4396-ba81-58d87b315f97)\n\n.\n\n# **TLDR**\n\n[Helium](https://tryhelium.com/) lets mobile companies launch and personalize upsell flows without code. We previously made >$100M in conversion experiments at Uber and Meta and are building the tools we wish we had.\n\nWith Helium, growth teams can add new paywalls or experiments in minutes! Helium also helps drive conversion with SmartSelect, our AI that finds the best paywall experience for each user.\n\nIf you know anyone working on consumer apps, [give us a shout](https://mailto:zach@tryhelium.com?subject=Connecting%20you%20to%20Zach%20at%20Helium%20(YC%20S24))! If we can’t help them earn 5x our price in new revenue, we’ll give their money back.\n\n.\n\n# **👋 We’re Helium!**\n\nWe’re building tools to experiment on in-app paywalls without code.\n\n* [Zach](https://linkedin.com/in/zachwitzel) (CEO) worked on in-app upsell at Uber. He ran dozens of conversion experiments that made >$100M.\n* [Anish](https://www.linkedin.com/in/anish-doshi-45a81271) (CPO) worked in ad optimization at Meta. He drove 10% in Instagram ad conversion through AI to personalize ads to users.\n* [Shishir](https://linkedin.com/in/shishirjakati) (CTO) worked on Alexa AI, using ML / LLMs to make Alexa smarter for millions of users.\n\n![uploaded image](/media/?type=post&id=82822&key=user_uploads/538515/8efbb041-f083-4f06-bac6-4a5dbfaef6c6)\n\nEarly on we realized how dumb it was that Zach spent years doing crude in-product personalization at Uber, while Anish built tools to automatically personalize tens of thousands of ad variants.\n\nWhile ads have come a long way, software upsell is stuck in the past — it’s too slow, too manual, and too one-size-fits-all.\n\n.\n\n# **👴📟📼 Mobile Paywalls are stuck in 2008**\n\nIn 2023, mobile in-app purchases crossed $150 billion, with $45B from subscriptions.\n\nMobile companies we talked to, from Headspace to Hinge, spend \\~1/3 of eng bandwidth on upsell, but optimizing in-app conversion is still highly manual. Teams spend months experimenting with paywall entry points, messaging, UX, targeting, premium features, and discounting.\n\nThe problem is that…\n\n* **⏰ Each change takes weeks**: Because paywalls live in native mobile code, making a change takes at least 6 weeks to code, test, launch to the app store, get it approved, and then get installs of the new version.\n* **🫨 Upsell becomes a maze**: There are typically dozens of entry points (onboarding, profile, feed, modals, etc) leading to different experiences. One prospect had 87 separate paywalls, so rolling out even small changes turns into weeks of manual work.\n* **🆘 Personalization is hard:** Personalization drives conversion (1 customer saw +40% conversion personalizing copy) but takes a ton of work. Most companies struggled with identifying key segments, designing custom experiences, implementing new logic in code, and dealing with many-variant experiments.\n\n.\n\n# **🎈 Introducing, Helium**\n\n![uploaded image](/media/?type=post&id=82822&key=user_uploads/538515/52f764dd-44b0-4c8d-a459-899f0f4a0ed0)\n\nHelium helps consumer app companies launch, manage, and improve paywalls without code.\n\nIt allows growth or product teams to run tests on their own (and stop bothering engineers) as they work on upsell conversion.\n\n* **🖥️ Visual editor**: Add new paywalls or multi-step flows all from the editor. All you need is one line of code to wire up your upsell flow with our SDK (React Native, Swift, & Android)\n* **🔬 Experimentation**: Add test copy, imagery, UI, or more, and run an experiment in 3 clicks. Results populate in your analytics tool\n* **👥 Personalization made simple**: Add as many variants as you want, and our AI algorithm (Smart Select) will find the right one for each user to drive conversion. Solve problems like…\n  * What CTA works best in each language?\n  * What feature do we emphasize for each customer segment?\n  * Which paywall do we show on onboarding vs app open?\n\n.\n\n# **😍 Ask: Intros to consumer mobile folks 😍**\n\nIf you know anyone who leads growth or monetization at a consumer mobile company, we’d love to talk to them to see if we can help!\n\nWe’re doing a design partner deal for the next few months…\n\n* White glove support for your implementation (or we can integrate Helium into your codebase directly for you)\n* We’ll run 3-5 experiments of your choice on your behalf\n* If we don’t make you 5x times our price in additional revenue, we’ll offer you a refund\n\n**If you know anyone who may be a fit, you can email us at** [**founders@tryhelium.com,**](mailto:founders@tryhelium.com) or just [**click here.**](https://mailto:zach@tryhelium.com?subject=Connecting%20you%20to%20Zach%20at%20Helium%20(YC%20S24))",
        "url": "https://www.ycombinator.com/launches/LXq-helium-improve-your-paywall-at-the-speed-of-thought",
        "votes": 29,
        "created_at": "2024-08-07T18:44:16.987Z"
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    "name": "HeroUI",
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    "former_names": [
      "NextUI Inc.",
      "NextUI",
      "Zigma (By NextUI)",
      "Zigma - By NextUI",
      "Zigma - by NextUI",
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        "full_name": "Junior Garcia",
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    "long_description": "Rescript is using AI to make the law transparent, accessible, and easy to act on. Laws and regulations differ across jurisdictions and are constantly changing, making them too complex for organizations to review and track manually at scale. We're building an agentic AI platform capable of aggregating and interpreting global regulations, tracking how they change, and identifying how organizations should respond. \r\n\r\nOur customers span AmLaw100 law firms, Fortune 100 corporations, and top trade associations across healthcare, retail, fintech and more. They depend on Rescript to help them comply with and act on an ever-changing regulatory landscape from the federal level down to individual cities.  \r\n\r\nWe're backed by YC, General Catalyst, and Floodgate. ",
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        "full_name": "Nikhil Ajjarapu",
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        "full_name": "Alexander Pesendorfer",
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        "id": 83747,
        "title": "Rescript — AI Regulatory Analyst for Enterprises",
        "tagline": "We track emerging policies and create well-researched compliance and advocacy materials.",
        "body": "**Tl;dr:** [Rescript](https://rescript.ai/) helps regulatory compliance and advocacy teams monitor, analyze, and act on the never-ending stream of regulatory and political developments.\n\n**Problem:** \n\nRegulatory lawyers and lobbyists guide companies through constantly changing legal and political environments and are paid tens of billions of dollars every year to do so.\n\nBut there’s too much to track manually: to identify any new risk or opportunity in the US alone, they have to monitor 150,000+ laws introduced, 300,000+ hours of government hearings, and thousands of new regulations and enforcement suits every year.\n\n![uploaded image](/media/?type=post&id=83747&key=user_uploads/912498/4e8e332c-8c30-49ec-a086-b4e6099706e6)\n\n**Solution:**\n\nRescript automates this process from end to end. We’ve built AI agents that scrape legislation and regulation as it changes, identify what’s relevant for you, and help you create well-researched compliance and advocacy materials.\n\n1. **Exhaustive Tracking:** Rescript’s AI Agents scan the web and create detailed analyses of everything you need, including hearings, regulations, news, and press releases.  \n2. **Intelligent Filtering:** Our tool uses human-like reasoning to determine if a new development involves the user’s policy issues. No more dealing with keywords. \n3. **Personalized Analysis:** Collaborate with AI to translate regulatory updates into actionable insights for internal business and compliance teams.\n\n**The Team:** \n\n[Nikhil](https://www.linkedin.com/in/nikhil-ajjarapu/) previously worked as a consultant for the DoD and built software for major federal agencies with Salesforce’s Public Sector team. He graduated magna cum laude from Princeton, where he studied Computer Science and earned minors in History & Public Policy.\n\n[Alex](https://www.linkedin.com/in/alex-pesendorfer/) previously worked in software engineering at a leading derivatives marketplace. He graduated summa cum laude from Princeton with a BSE in Computer Science and minors in Statistics, Machine Learning, and Finance.\n\n[Vince](https://www.linkedin.com/in/vincentjh/) holds an MS in Computer Science and a BA in Philosophy from Stanford and previously staffed the House Science Committee in Congress.\n\n**Working with us**\n\nRescript is already used by top-10-ranked government relations firms and AmLaw 200 law firms.\n\nIf you’re interested in learning more, please [schedule a time with us here for a 15-minute demo](https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2QGC5HMWdnOcDcz1cPXamWS8qKzQWFktlQLupOBtY50W-JOfXsHabKGx6u7Nod59taBnm7-dYe), or message us at [team@rescript.ai](mailto:team@rescript.ai).\n\n![uploaded image](/media/?type=post&id=83747&key=user_uploads/912498/bde7885e-51fe-4797-9829-38c511d81f18)\n\n",
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        "created_at": "2024-09-04T15:37:24.750Z"
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        "founder_bio": "Electrical engineer from Spain. I moved to SF to start my career.\nFor the most part, I've worked at the intersection of finance, software, and data at places like Capital One, Zippi (YC s19), and Trovata.\n",
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        "title": "🌿 Thyme: meeting intelligence for financial advisors",
        "tagline": "Run 10x better meetings as a financial advisor.",
        "body": "**tl;dr: **[**Thyme**](https://www.meetthyme.com/)** enables financial advisors to run 10x better meetings. We cover meeting prep, transcription, summarization, CRM syncing, and document parsing. Please introduce us to any financial advisor in your network!**\n\n# 🧑‍🤝‍🧑 About us\n\nWe are Fernando San Martin (left), and Daniel Lantz (right). We've worked together at Capital One, trovata.io, Campfire (YC S23) and are now Thyme co-founders. Our mission is to build better software tools for financial advisors.\n\n![uploaded image](/media/?type=post&id=82372&key=user_uploads/847698/1370b41c-bff4-402b-be93-fc40ffa032cb)\n\n# **❗ The Problem**\n\nFinancial advisors spend hours every day preparing, running, and following up on client meetings. Their attention is split between engaging with the client and taking meaningful notes, and often, these notes are incomplete or non-existent.\n\n![uploaded image](/media/?type=post&id=82372&key=user_uploads/847698/3e9d6239-57f1-4a34-b794-7223d5eef16b)\n\nAfter finishing the meeting, the advisor has to expand on the few scattered words that they jotted down to create follow-up tasks and update their CRM with the new client insights.\n\n# ✅ **Our Solution**\n\nThyme solves all of the above. Using our app, the advisor can see their upcoming meetings, for which they can prepare by viewing a holistic profile about the client and even asking natural language questions.\n\nOnce in the meeting, our app uses state-of-the-art AI technology to transcribe, summarize, generate action items, and draft follow-up emails.\n\n![uploaded image](/media/?type=post&id=82372&key=user_uploads/847698/554cca4a-0ea6-40f2-ad21-effa09f00d16)\n\nFinally, our powerful integrations with the rest of the advisors’ tech stack also allow us to initiate workflows and send tasks and notes to other systems. Any financial documents submitted by the client are parsed and integrated into their profile.\n\nOur users describe the solution as a game-changer that saves them hours each week while creating much richer and more accurate notes and tasks that sync seamlessly with their stack.\n\n# 🙏 **Request**\n\n* If you like what we are building, upvote, comment, and follow us on [Linkedin.](https://www.linkedin.com/company/thyme-yc-s24/)\n* If you know of any financial advisors in your network, ask them if they would be interested in chatting. Here is a potential blurb you can use to introduce us: \"[Thyme](https://www.meetthyme.com) is changing how financial advisors run online meetings. Would you like to hear more directly from the team?\"\n* Like and re-share our upcoming public launch with your network later this week.\n* Reach out to us at [founders@meetthyme.com](mailto:founders@meetthyme.com) if you have ideas or suggestions or would like to simply meet.",
        "url": "https://www.ycombinator.com/launches/LQa-thyme-meeting-intelligence-for-financial-advisors",
        "votes": 110,
        "created_at": "2024-07-23T17:47:07.110Z"
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    "long_description": "At Dataleap we have one single focus - make knowledge work at your computer fun! Give all the other roles in sales, ops, hr the same super powers that engineers get with Cursor and Claude Code. \r\n\r\nDataleap is the agentic operating system for the Enterprise. We enable business teams to automate they work without any help from engineering. No visual workflow builder, no hour long setup or steep learning curve in n8n. Build your AI coworkers in minutes with a fully agent first interface. \r\n",
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    "team_size": 6,
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        "full_name": "Jan Damm",
        "title": "Founder/CEO",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jandamm",
        "x_url": "https://twitter.com/jh_damm",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5be4d8a1a919c196d1984584b68ea249dbe141fb.jpg"
      },
      {
        "user_id": 233703,
        "full_name": "Jan-Hendrik Ruettinger",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO at Dataleap. Before Dataleap, I worked as an AI researcher at Oxford University and Volkswagen. I also had a brief stint in consulting at BCG. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/janruettinger",
        "x_url": "https://twitter.com/jan_ruettinger",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f82de9105505cf303d87266026d4a7ad47d28752.jpg"
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    "jobs": [
      {
        "id": 89634,
        "title": "Founding Engineer (Platform/Backend)",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/cnUB9ED-founding-engineer-platform-backend",
        "location": "San Francisco, CA, US / Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97034,
        "title": "Founding Deployment Strategist (Munich Office)",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/3ROwnay-founding-deployment-strategist-munich-office",
        "location": "Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€90K - €150K EUR",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 102809,
        "title": "Working Student/Intern",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/ucclInO-working-student-intern",
        "location": "San Francisco, CA, US / Munich, BY, DE / Munich, Bavaria, DE / Remote",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$25 - $35 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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        "id": 108518,
        "title": "Deployment Strategist (Munich Office)",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/KfYt1tJ-deployment-strategist-munich-office",
        "location": "Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€50K - €80K EUR",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
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        "id": 113963,
        "title": "Ex-Founder with Track Record",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/yJyyoP6-ex-founder-with-track-record",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
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      },
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        "title": "Founding Sales (Munich Office)",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/N4IQVV3-founding-sales-munich-office",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
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    "launches": [
      {
        "id": 97054,
        "title": "Dataleap - Claude Code for Business Users",
        "tagline": "Building the world's first vibe working platform",
        "body": "![uploaded image](/media/?type=post&id=97054&key=user_uploads/1018869/d5ebf42e-fb02-485d-9be5-50bc50eeb4d2)\n\nToday we're launching Dataleap, the first 𝘃𝗶𝗯𝗲 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 that gets stuff done for knowledge workers.\n\n𝗧𝗵𝗶𝗻𝗸 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗳𝗼𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘂𝘀𝗲𝗿𝘀.\n\nCoders are already living in the future with Claude Code and Cursor. For the rest of us? Barely anything has changed.\n\nUntil now.\n\n𝗗𝗮𝘁𝗮𝗹𝗲𝗮𝗽 𝗰𝗼𝗺𝗯𝗶𝗻𝗲𝘀 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗼𝗳 𝗖𝗵𝗮𝘁𝗚𝗣𝗧, 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲, 𝗮𝗻𝗱 𝗻𝟴𝗻 𝗶𝗻 𝗼𝗻𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.\n\nWork synchronously with AI on one-off tasks - then with one word, turn it into a background agent that executes work for you while you sleep.\n\nWe are not a workflow builder, no visual canvas, no moving around nodes. We architected Dataleap to be truly agentic from the ground up. It feels like a coworker.\n\n𝗠𝗲𝗲𝘁𝗶𝗻𝗴 𝗯𝗿𝗶𝗲𝗳𝗲𝗿 - Check past emails, Slack connect messages, and Hubspot notes to get up to date before a meeting.\n\n𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 - CC your ea@ email address hooked up to Dataleap to schedule meetings for you\n\n𝗔𝗜 𝗦𝗗𝗥 - Research 50 Head of Controlling at your ICP companies, get their phone numbers, and create a task for each with a call brief in Hubspot\n\n𝗕𝘂𝗴 𝗥𝗲𝗽𝗼𝗿𝘁𝗲𝗿 - Check all Slack Connect channels for bugs and file them in Linear and remind the team to fix them\n\n𝗟𝗶𝗻𝗸𝗲𝗱𝗶𝗻 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗿 - Send connection request to all external meeting participants at the end of the day.\n\nGet shit done!\n\nCoding agents opened a glimpse into the future of AI. Dataleap is the tool for the 99% to discover this future.\\\n\\\n[https://youtu.be/4HLFd3ER0XE?si=NhCigjzVgoVr5Ck5](https://youtu.be/4HLFd3ER0XE?si=NhCigjzVgoVr5Ck5)\n\\\n\\\n**About us:**\n\n[Jan-Hendrik Rüttinger](https://www.linkedin.com/in/janruettinger/) and I ([Jan-Hendrik Damm](https://www.linkedin.com/in/jandamm/)) met during our studies at CDTM in Munich 5 years ago and shared an apartment ever since. We instantly knew that we would start a company together one day, not just because we had the exact same uncommon name, but because we just clicked. I went on to work in consulting at McKinsey and as an APM at Google in the search team. He decided to pursue machine learning research at Oxford. Last year, we decided it was time to make the leap, moved to the US, and started Dataleap.\n\n![uploaded image](/media/?type=post&id=97054&key=user_uploads/1018869/e8b6ba99-c4de-48bb-8aad-1517182b879b)\n\n# ",
        "url": "https://www.ycombinator.com/launches/PFO-dataleap-claude-code-for-business-users",
        "votes": 7,
        "created_at": "2026-01-22T23:55:28.924Z"
      },
      {
        "id": 83457,
        "title": "Dataleap - Perplexity for Consultants",
        "tagline": "Instead of relying on the general web, Dataleap searches through a curated database of market data from public and commercial data providers.",
        "body": "**_TL;DR -_** [_Dataleap_](https://www.ycombinator.com/companies/dataleap) is a GenAI-powered market research platform for management consulting firms and corporate strategy departments.\\\n**Think Perplexity for Consultants.**\n\n_Our secret sauce is combining the natural language interface from Perplexity with trusted, verifiable market data from best-in-class market research firms and the company’s internal resources. We already work with two of the three tier 1 consultancies (MBB) and industry giants like Uniper and Siemens Energy._ \\\n[_Try it out here!_](https://dataleap.ai/)\n\n![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/02fe7c8f-50ea-4c20-8212-61614e1015b4)\n\n# **Problem:**\n\n* AI search tools like **Perplexity or ChatGPT are not cutting it for professionals analyzing markets**. The answers are either hallucinated or using low-quality sources.\n* Consultants & corporate strategy departments need to work with **paywalled data** curated from expert market research firms like WoodMackenzie, Rystad, or S&P Global.\n* They do not want to interact with 15 different platforms or badly implemented AI chats but with one platform that is close to them and aggregates everything.\n\n# **Solution:**\n\n1. Dataleap provides a **powerful AI Copilot** that aggregates and searches through all the relevant market data that strategy teams need to look at.\n\n   ![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/9632454d-b1c0-4d26-9a72-f646fa636a2f)\n\n2. We always **highlight the exact sentence** in the original data where the information is coming from so that you can trust it and make real business decisions based on it.\n\n   ![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/328dfc41-53ae-42d2-8629-73e16cb1d72d)\n\n3. You can also **upload your proprietary information** to have the full picture of all your available information within Dataleap.\n\n   ![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/124c9538-8375-4b79-88ca-6ec967a84530)\n\n4. You can not just search through the documents but also conduct meta-studies of reports or extract your own datasets from documents with our **document matrix**\n\n   ![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/c44448c3-527d-4caf-a92b-984c7a1ace83)\n\n\n# **About us:**\n\n[Jan-Hendrik Rüttinger](https://www.linkedin.com/in/janruettinger/) and I ([Jan-Hendrik Damm](https://www.linkedin.com/in/jandamm/)) met during our studies at CDTM in Munich 5 years ago and shared an apartment ever since. We instantly knew that we would start a company together one day, not just because we had the exact same uncommon name but because we just clicked. I went on to work in consulting at McKinsey and as an APM at Google in the search team. He decided to pursue machine learning research at Oxford. Last year, we decided it was time to make the leap, moved to the US, and started Dataleap.\n\n![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/e2e8c5ee-b3f3-4d48-8d7f-f1b900d0dc09)\n\n# **Ask:**\n\n**Please introduce us to strategy and market intel teams at big energy companies** (energy is the first industry we started with), e.g., Dominion Energy, RWE, BP, Shell, GE Vernova. → Email address: [**jan.damm@dataleap.ai**](mailto:jan.damm@dataleap.ai)",
        "url": "https://www.ycombinator.com/launches/Li5-dataleap-perplexity-for-consultants",
        "votes": 112,
        "created_at": "2024-08-27T14:40:30.962Z"
      }
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    "id": 29810,
    "name": "Bluedoor",
    "slug": "bluedoor",
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    "all_locations": "Seattle, WA, USA",
    "long_description": "We automate public records request fulfillment for government agencies.",
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    "team_size": 1,
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    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1723408013,
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2024",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/bluedoor.json",
    "year_founded": 2026,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bluedoor-ai",
    "x_url": "https://x.com/SamuelCrombie",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/actionbase-2147",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3363d046ba2892bd7c82963a8a504e094bd39d2e.png",
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      "url": "https://www.ycombinator.com/people/david-lieb"
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        "full_name": "Sam Crombie",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Bluedoor. \n\nPreviously a Product Manager at Microsoft AI. Dartmouth College, A.B. in Computer Science, 2023.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/samcrombie",
        "x_url": "https://twitter.com/SamuelCrombie",
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    "launches": [
      {
        "id": 83184,
        "title": "Actionbase: An SDK for automating popular sites",
        "tagline": "Automate LinkedIn, Amazon, Uber, and Resy in a few lines of code",
        "body": "Hey everyone! We are [Sam](https://linkedin.com/in/samcrombie) and [Adam](https://www.linkedin.com/in/adam-mcquilkin/) building Actionbase. Actionbase builds tools that make the web agent-interpretable. Today, we are launching our first product, the [Web Action SDK](https://actionbase.co/).\n\n# **TL;DR**\n\nThe [Web Action SDK](https://actionbase.co/) is a TypeScript / JavaScript SDK that lets developers run automations on popular websites with only a few lines of code.\n\n# **What’s the problem?**\n\nWeb automations, particularly for high-traffic websites, **suck to build and maintain**. Yet engineering teams find themselves having to build them from scratch, over and over.\n\nSpinning your own automations is an easy path to unnecessarily complex codebases and enormous tech debt. Automations break down, hit edge cases, and become exponentially unruly.\n\nBut this is business-critical functionality, so what else can you do?\n\n# **Solution: Web Action SDK**\n\nWe’ve built an SDK that allows you to run automations on popular sites with only a few lines of code. Simply add your API key, define an action, and run it.\n\nHere’s how you can use our SDK to send a LinkedIn message.\n\n![uploaded image](/media/?type=post&id=83184&key=user_uploads/448194/5978c043-af17-4af7-8b20-5c3ef74d7277)\n\nInitialize, send, and that’s it!\n\nNow that you’ve made your plans, you can use other services supported by the SDK to prepare for dinner: buy a notebook to take notes (Amazon), make a restaurant reservation (Resy), and get a ride to the restaurant (Uber).\n\n![uploaded image](/media/?type=post&id=83184&key=user_uploads/448194/5875c5ac-d64a-4bb7-9f1f-0eddf8b25a95)\n\nIn less than 10 lines of code, you’ve planned a pretty cool night out.\n\n# **Value Proposition: Simplicity**\n\nWeb Action SDK does all the heavy-lifting for you: authentication, anti-botting, task creation and execution, self-healing, and hosting. Our goal is to enable engineering teams to focus on **what to do with web actions**, not how to make them work.\n\n# **Asks**\n\n**\\#1:** If you currently have code that programmatically interacts with: LinkedIn, Facebook, Resy, Uber, DoorDash, Amazon, United, or any popular, high traffic sites, we’d love for you to sign-up and [try the SDK for yourself](https://actionbase.co). If you want to discuss bringing Actionbase to your company/use case, book time [here](https://actionbase.co/book-demo).\n\n**\\#2:** If you know someone who scrapes or automates sites, please forward them this URL or our [email blurb.](mailto:your_recipients_email_here@email.com?subject=Does%20this%20look%20useful%3F%20A%20web%20automation%20SDK&body=Hey%2C%20a%20YC%20company%20called%20Actionbase%20just%20launched%20their%20Web%20Action%20SDK%20(https%3A%2F%2Fwww.ycombinator.com%2Flaunches%2FLdg-actionbase-an-sdk-for-automating-popular-sites)%2C%20which%20lets%20you%20to%20automate%20popular%20websites%20like%20LinkedIn%20in%20a%20few%20lines%20of%20code.%0A%0AIs%20this%20something%20you%27d%20find%20useful%3F)\n\n# **Our Background**\n\nAdam and I met at Dartmouth where worked together on our senior thesis project. After graduation, we worked at Microsoft, building expertise in web automation and infrastructure on the Edge Copilot and PowerBI Copilot teams. We’ve joined forces once again to make the web agent-interpretable with Actionbase.\n\n![uploaded image](/media/?type=post&id=83184&key=user_uploads/448194/cbe18c26-732c-40c3-aab0-f9d935192ba8)\n\n![uploaded image](/media/?type=post&id=83184&key=user_uploads/448194/59f21dd2-616b-4afa-82e0-b0229d9dfe48)\n\n",
        "url": "https://www.ycombinator.com/launches/Ldg-actionbase-an-sdk-for-automating-popular-sites",
        "votes": 29,
        "created_at": "2024-08-19T19:59:37.739Z"
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    "id": 29812,
    "name": "ZeroPath",
    "slug": "zeropath",
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    "website": "https://zeropath.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "ZeroPath is a developer tool that autonomously detects, verifies, and submits fixes for vulnerabilities in your code. Engineers can use ZeroPath to find security problems that they might only otherwise catch in pentests or from bug bounty researchers.",
    "one_liner": "Automatically find and fix your software vulnerabilities",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1718222641,
    "tags": [
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      "B2B",
      "Security",
      "Cybersecurity",
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    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Security"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/zeropath",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/zeropath.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/zeropathai",
    "x_url": "https://x.com/zeropathAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/zeropathai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd70ee2d072b5f54e3fd3fc0e2531e49708b3fa7.png",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2021206,
        "full_name": "Dean Valentine",
        "title": "Founder",
        "founder_bio": "ZeroPath founder",
        "is_active": true,
        "linkedin_url": "",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4aa118f45ea9f67b3ca5bb4aa5d886701b03b48.jpg"
      },
      {
        "user_id": 2049348,
        "full_name": "Raphael Karger",
        "title": "Founder",
        "founder_bio": "CTO at ZeroPath. Former Google Security Engineer and BishopFox Consultant.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raphael-karger/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db088b311094bb1d324eed9d1fde67f15d0cd2f6.jpg"
      },
      {
        "user_id": 2021191,
        "full_name": "Etienne Lunetta",
        "title": "Founder",
        "founder_bio": "COO at ZeroPath. Former Co-Founder at Mevlink, acquired by bloXroute Labs in 2023.",
        "is_active": true,
        "linkedin_url": "",
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      {
        "id": 82258,
        "title": "🛡️ ZeroPath - Autonomous vulnerability patching",
        "tagline": "Detect and fix your web application's exploitable security issues without config.",
        "body": "📝 TL;DR: [ZeroPath](https://zeropath.com/) is a GitHub app that detects, verifies, and issues pull requests for security vulnerabilities in your code.\n\n![uploaded image](/media/?type=post&id=82258&key=user_uploads/2021206/183871ce-a1b3-4db9-a320-ce73defc63c3)\n\n### 💡 Why We Built This:\n\nAs security engineers and developers, we've seen firsthand how challenging it is for businesses to secure their products. Existing Static Application Security Testing (SAST) tools overwhelm teams with false positives and fail to remediate the real vulnerabilities they do find. We built ZeroPath to allow fast-moving teams to write secure code without having to configure or review a scan dashboard.\n\n![uploaded image](/media/?type=post&id=82258&key=user_uploads/2021206/9f2ff51d-2c6b-4ad5-b7c3-4c48e26fc0e9)\n\n### 🛠 How It Works:\n\n1. Executes regular vulnerability scans of your source code\n2. Integrates with GitHub to scan pull requests for vulnerabilities\n3. Uses advanced LLMs to significantly reduce false positives\n4. Generates patches for vulnerabilities identified\n5. Automatically issues pull requests to patch them\n\n### 💪 Why ZeroPath:\n\n* Integrates with your existing SAST - **removes** **85% of false positives**\n* Reduces vulnerability remediation time by up to **90%**\n* Enables natural language modification of patches, just tag @zeropath-ai in PRs (including your own!)\n* Supports complex, multi-file changes seamlessly\n* Prevents SAST vendor lock-in\n\n### 👥 Our Team:\n\n* [Nathan](https://linkedin.com/in/nathan-hrncirik): Ex-Tesla Red Team Engineer, $100k+ in bug bounties\n* [Raphael](https://linkedin.com/in/raphael-karger): Ex-Google Security Engineer, 12 security researcher hall of fames\n* [Dean](https://www.linkedin.com/in/dean-valentine-3b7583313/) & [Etienne](https://www.linkedin.com/in/etienne-lunetta-574065313/): Founders of Mevlink (acquired by Bloxroute in 2023)\n\n## 💰 YC Launch Deal: 50% off for 12 months\n\n* $20/month per contributing developer (reg. $40)\n* Use code LAUNCHYC at checkout, **valid until 8/15**\n\n### 🙏 How You Can Help:\n\nWe're eager for your insights on our product, feature ideas, and security needs - whether through trying our GitHub app, scheduling a meeting, or sharing feedback.\n\n* [Install our GitHub app](https://zeropath.com/)\n* [Schedule a meeting to discuss your application security needs](https://cal.com/zeropath/30min)\n* [Share your feedback](mailto:hello@zeropath.com)\n\n### 🚀 Get started in 30 seconds: <https://github.com/apps/zeropath-ai/installations/new>\n\n📅 Want to learn more? Schedule a demo: <https://cal.com/zeropath/30min>\n\n![uploaded image](/media/?type=post&id=82258&key=user_uploads/2021206/c947eed7-8cdb-43e0-b330-0c5e36c86ef5)\n\n",
        "url": "https://www.ycombinator.com/launches/LOk-zeropath-autonomous-vulnerability-patching",
        "votes": 47,
        "created_at": "2024-07-18T18:38:13.935Z"
      }
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    "id": 29821,
    "name": "Polymet",
    "slug": "polymet",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b83146cb0e374a41a184f24deaad8d74f27ad10.png",
    "website": "https://polymet.ai",
    "all_locations": "Istanbul, Istanbul, Turkey",
    "long_description": "Polymet uses AI to help non-designers create production-ready designs and front-end code. They explain what they want or provide an image, and Polymet designs the interface.\r\n\r\nOur customers use Polymet instead of hiring designers and save thousands of dollars every month. Even their managers can design with English instead of writing design specs.\r\n\r\nThis helps these teams move faster and cover design function on their own instead of contractors at early stages and when they start to scale their can produce a lot more design work, just like Midjourney.",
    "one_liner": "AI Product Designer",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1719854001,
    "tags": [
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
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      "Middle East and North Africa"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/polymet",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/polymet.json",
    "year_founded": 2024,
    "city": "Istanbul",
    "country": "TR",
    "linkedin_url": "https://www.linkedin.com/company/polymet-ai/",
    "x_url": "https://twitter.com/polymetai",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b83146cb0e374a41a184f24deaad8d74f27ad10.png",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
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        "full_name": "Yusuf Hilmi",
        "title": "Founder/CEO",
        "founder_bio": "Building Polymet to help product designers and engineers ship faster with AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yusufhilmi",
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      {
        "id": 83282,
        "title": "Polymet - AI designer at your service",
        "tagline": "We help you create well designed user interfaces and prototypes without any design experience.",
        "body": "**TL;DR**\n\nPolymet uses AI to help non-designers create production-ready designs and front-end code. They explain what they want to build or provide an image, and Polymet will design and implement it for them.\n\n<https://www.youtube.com/watch?v=rYrkikCA8fw>\n\n## Problem\n\n* Most companies need help with design but don't have a designer\n* Designers can't design fast enough or are just slow…\n* Managers hate the long feedback loop with the designers, taking days for simple changes\n* They want to do it themselves but learning a complex editor like Figma is hard\n* They need to whip up a whole new demo with new features for a customer but don’t have time to design and build that\n\n## Our Solution\n\n### Design with AI\n\nCreate designs by explaining what you need or providing images (can be hand-drawn sketches).\n\n* **No design expertise required:** Anyone can create beautiful and functional interfaces with us\n* **Quickly flesh out prototypes:** Use these for customer demos and share them with the team\n* **Quickly explore multiple design paths:** Generate multiple variations for inspiration\n\n![uploaded image](/media/?type=post&id=83282&key=user_uploads/487954/68086b15-f1d1-4fde-ab43-6ba2b6d9b4fa)\n\n![uploaded image](/media/?type=post&id=83282&key=user_uploads/487954/af62ba68-cf7d-4cc2-a5dd-6ccd5c947d8c)\n\n### Edit with Natural Language\n\nRefine your designs using simple English instructions; no need to learn complex editing tools like Figma.\n\n* Make changes quickly and easily, as if you're giving feedback to a designer\n* Select individual elements to ask for improvements, **just like commenting on Figma**\n\n![uploaded image](/media/?type=post&id=83282&key=user_uploads/487954/c8ddb2d7-c8c3-404f-b834-2f3457b25113)\n\n### Show Your Work to Customers and Teams\n\n* **Make demos for each customer:** Create a special preview link for each client and tune the demo for them.\n* **Work better with your team:** Send preview links to your team to get their thoughts on your designs right away.\n\n<https://app.polymet.ai/preview/cb6a2058-846d-4cbc-8eaa-8f8a8a68eaa3>\n\n![uploaded image](/media/?type=post&id=83282&key=user_uploads/487954/6e6b93d3-9bf5-4316-b8bc-dbd51be250dd)\n\n### Explore a New UX Faster\n\n* **Create multiple variations:** with each prompt to find the best user experience\n* **Image to design:** Upload reference images, sketches, or Figma designs and get started\n\n\"create similar step indicators in different forms, make them functional, and add subtle animations\" **variations: 8**\n\n![uploaded image](/media/?type=post&id=83282&key=user_uploads/487954/b35c42da-67c7-4d8c-9b12-0d6db1c857da)\n\n### Production-Ready Frontend Code\n\nWith Polymet, every design comes with high-quality frontend code that integrates with your existing codebase.\n\n* **Save time and money:** Polymet is better and faster than hiring a designer and a frontend engineer\n* **Reduce time from designs to code** for engineers\n\n### Get Creative\n\nPolymet lets you make cool, complex designs easily. Here are some examples of that:\n\n* Make fun color pickers\n* Create dropdowns that move in interesting ways\n* Design eye-catching loading animations\n* Build tabs and buttons that respond smoothly\n* Craft date pickers that are easy and fun to use\n\n![uploaded image](/media/?type=post&id=83282&key=user_uploads/487954/90e9cc34-062f-4092-89c9-a82bb9b31dcd)\n\n![uploaded image](/media/?type=post&id=83282&key=user_uploads/487954/e4e33bd4-57ac-4aa7-aeac-20e6b7e62b72)\n\n# How can you help?\n\n* Go ahead to [app.polymet.ai](http://app.polymet.ai) , try it out, and share what you've designed and your feedback!\n* If you don’t want to hire a designer and need urgent help with design, hit us up!\n  * If you’re in SF, we might visit your office with some “Turkish Baklava” and onboard you personally :)\n* Introduce us to companies who are building out their component libraries and design systems, likely right before or after Series A\n  * If you’re working at one of these companies and want to see the enterprise version, schedule a call from: [cal.com/yus-hilmi/onboarding](http://cal.com/yus-hilmi/onboarding)",
        "url": "https://www.ycombinator.com/launches/LfG-polymet-ai-designer-at-your-service",
        "votes": 68,
        "created_at": "2024-08-21T16:59:56.022Z"
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    "id": 29822,
    "name": "omnidock",
    "slug": "omnidock",
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    "website": "https://www.omnidock.com",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Expanding to other geographies and marketplaces is a massive growth lever for brands and manufacturers, but it’s complex and resource-intensive.\r\n\r\nOmnidock makes it effortless for merchants to sell on multiple marketplaces by acting as their merchant of record. \r\n\r\nBrands simply plug into our operating system, which reads their catalog, assesses marketplace eligibility, and auto-launches their products through our pre-vetted marketplace accounts. We handle all transactions on their behalf, removing the challenges and complexities of multi-marketplace selling",
    "one_liner": "OS for global e-commerce expansion of brands & manufacturers",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1723790505,
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    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
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    "regions": [
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      "Europe"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/omnidock",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/omnidock.json",
    "year_founded": 2024,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/omnidock-ycs24",
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      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Shayan Zakerzadeh",
        "title": "Founder/CEO",
        "founder_bio": "CEO of omnidock and prior employee #3 and VP Expansion at Razor Group, a Berlin based e-com unicorn. \nI started selling online when I was 15 years old and never stopped after that.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shayan-zakerzadeh",
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        "full_name": "Sebastian Rödling",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder @ omnidock, with a technical background in Computer Science focused on AI and Causality. Previously worked at Lufthansa Industry Solutions, and deeply passionate about tech, programming, and machine learning.\n\n",
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      {
        "id": 84142,
        "title": "omnidock: The OS for global e-commerce expansion",
        "tagline": "omnidock enables brands & manufacturers to sell on global e-commerce marketplaces",
        "body": "**TL;DR:** Our AI-powered operating system enables brands and manufacturers to sell on all global e-commerce marketplaces. \\\nUsing [omnidock](https://www.omnidock.com/), they sell through our local entities and pre-vetted marketplace accounts, as we act as their merchant of record. This increases their revenue by at least 20% immediately after using omnidock.\n\nWe’re live in the EU and already help more than 25 customers grow. 3 of them are enterprises.\n\n# **Problem 🚨 & Opportunity 🌟**\n\nExpanding to new geographies and marketplaces is a massive growth opportunity for brands and manufacturers, but it's complex and resource-intensive\n\nGlobal e-commerce marketplaces have varying requirements, are often gated, and demand multiple legal entities to operate. As a result, many merchants leave the potential untapped.\n\nThe marketplace landscape is more fragmented than ever. Since 2020 (COVID), alternative marketplaces in the US and EU are outgrowing generalists like Amazon and now account for over 40% of marketplace GMV in the US and 51% in the EU.\n\nAdditionally, manufacturers that work with us typically operate on production-focused ERPs like SAP. Integrating such ERPs into any marketplace is extremely expensive and takes months if not years.\n\n# **Solution🚀**\n\n**Brands simply plug into our operating system, and we:**\n\n* Read & asses their catalog for marketplace eligibility [**✅**](https://emojiterra.com/de/weises-hakchen/)\n* Modify their content via AI to meet marketplace-specific requirements (e.g., matching taxonomies for them) [**✅**](https://emojiterra.com/de/weises-hakchen/)\n* Launch their catalog through our pre-vetted marketplace accounts & entities [**✅**](https://emojiterra.com/de/weises-hakchen/)\n* Provide them with pre-negotiated logistic rates, usually\\~30% cheaper than their own rates [**✅**](https://emojiterra.com/de/weises-hakchen/)\n* Give them access to unified reporting, KPIs, and forecasts to manage growth [**✅**](https://emojiterra.com/de/weises-hakchen/)\n\nWe handle all transactions on their behalf, removing the challenges and complexities of multi-marketplace selling.\n\n![uploaded image](/media/?type=post&id=84142&key=user_uploads/1641067/faf0ca11-93d9-4811-912e-27f7705e8045)\n\n# **👬 Team:**\n\nWe decided to start [**omnidock**](https://omnidock.com/) as we were day 1 employees at a Berlin-based unicorn [Razor Group](https://techcrunch.com/2024/03/04/razor-and-perch-merge-raise-100m-on-a-1-7b-valuation-as-more-roll-ups-consolidate/). [Shayan](https://linkedin.com/in/shayan-zakerzadeh) and [Sebastian](https://www.linkedin.com/in/SebRoe) met in high school and have been friends for 12+ years. Most recently, [Christian](https://linkedin.com/in/christian-kohrs-a760b2117) was VP Warehousing & Logistics, Shayan was VP Expansion and Sebastian finalized his engineering master’s from TUD with focus on AI. \\\n\\\nWe scaled alternative marketplace revenues at Razor from 0 to $30m in less than a year and know from firsthand experience how unsolved this is.\n\n![uploaded image](/media/?type=post&id=84142&key=user_uploads/1641067/ddeee1cd-877b-44f7-bdbc-b89797827300)\n\n**❤️ How you can help**\n\nIf you know a brand or manufacturer of consumer goods that would like to expand globally, send us a message at [founders@omnidock.com](mailto:founders@soff.ai) 🙂\n\nWe are also hiring!",
        "url": "https://www.ycombinator.com/launches/Lt8-omnidock-the-os-for-global-e-commerce-expansion",
        "votes": 60,
        "created_at": "2024-09-19T16:33:57.311Z"
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    "id": 29823,
    "name": "autarc",
    "slug": "autarc",
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    "website": "https://www.autarc.energy/global",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "The problem: Energy installers still waste dozens of hours per project on pen & paper processes. Their CRM, ERP, email, planning tools are completely detached from each other.\r\n\r\nThe solution: autarc lets installers automate their repetitive business tasks on a single platform. They manage everything from one interface: WhatsApp or iMessage. This combines their legacy tools into one system. We save 24+ hours on every home energy project, like heat pump, solar, wallbox or battery installations.\r\n\r\nThe technology: On top of our OS, autarc leverages LiDAR for spatial analysis, computer vision for automated assessment, and AI for system recommendations. This enables installers to confidently transition to and scale up sustainable home energy solutions.",
    "one_liner": "autarc is the agentic OS for energy installers.",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1720714870,
    "tags": [
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      "AI",
      "AI Assistant"
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    "url": "https://www.ycombinator.com/companies/autarc",
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    "year_founded": 2023,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/autarc-energy/",
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    "fb_url": "https://www.facebook.com/autarcenergy",
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        "full_name": "Etienne-Noel Krause",
        "title": "Founder/CEO",
        "founder_bio": "Etienne, Co-Founder & CEO of autarc. I used to work in the HVAC industry before launching autarc. Would describe myself as a creative mind that loves building digital products.\n\nGet in touch: etienne@autarc.energy",
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        "full_name": "Thies Hansen",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder and COO of autarc. Previously worked at a logistics company within process optimizations, later switched to work in startups and VC - helping installers to install more heat pumps is much more fun though.",
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        "user_id": 397954,
        "full_name": "Marius Seufzer",
        "title": "Founder/CTO",
        "founder_bio": "CTO @autarc.\nPreviously Lead iOS Engineer @Sameday Health and built Passkeys for Apple.",
        "is_active": true,
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        "title": "🏡 autarc - The OS for heat pump installers",
        "tagline": "We help HVAC installers in Europe to sell and design heat pumps.",
        "body": "**TL;DR:** We are live in Germany with 380 customers and a 7-digit ARR. Our software empowers installers to shift away from oil and gas, focusing instead on heat pump installations. Check out our website: [www.autarc.energy](http://www.autarc.energy)\n\n—\n\nHey YC! Etienne, Thies and Marius here from autarc! 👋🏼\n\n<https://youtu.be/sR_ezqeJIdg>\n\n# **😤  The Problem**\n\nDid you know that 30 % of Europe’s CO2 emissions come from heating buildings with fossil fuels? autarc is at the forefront of addressing this environmental challenge.\n\nAchieving a CO2-neutral life starts with a heat pump installation—it's the most efficient and sustainable alternative available. Yet, at the current installation speed, it will take over 100 years to replace the last gas or oil boiler in Europe.\n\nEtienne encountered this problem after nearly four years in the HVAC industry. Initially, we spoke with almost 80 firms to fully understand their challenges. It turns out installers would love to focus on heat pumps, but they lack the skills and tools to meet the overwhelming demand. These small, fragmented businesses across Europe struggle with scaling their processes and securing growth financing. On top of that, regulatory changes require them to manually capture hundreds of data points, leading to **60 % of installation costs** being attributed to **labor** and **process inefficiencies**.\n\n# **😍 The Solution**\n\nWith autarc, we are building an operating system (OS) for heat pump installers. Our software enables installers to capture hundreds of data points in minutes rather than hours and provides them with everything they need in one place: system design, offer creation, financing options, subsidies, and mandatory reports. By leveraging LiDAR technology and AI, we reduce the overall project time for heat pump installations by 50 %.\n\n![uploaded image](/media/?type=post&id=83857&key=user_uploads/395990/733c46ea-69da-43dd-b604-9bc85328d5cd)\n\n**How it works:** We standardize the pre-installation process, utilizing up to 800+ data points per property. This reduces time wasted on leads that don’t convert by 80% and frees up installer capacity. Our customers tell us that they save up to 20 hours per installation with our solution.\n\n# **🏡 The Team**\n\nWith 15 full-time employees, we are building a European champion from our HQ in Berlin, Germany. Our talented team members have backgrounds in major tech companies, HVAC/solar businesses, and energy consulting. Our greatest asset is the close relationship we maintain with our customers, enabling us to co-develop the features they truly need.\n\n![uploaded image](/media/?type=post&id=83857&key=user_uploads/395990/611c01dc-3a98-41e2-ae50-d4b6fa54bafd)\n\n_From left to right, on the left image: _[_Marius_](https://www.linkedin.com/in/marius-seufzer)_, _[_Thies_](https://linkedin.com/in/thies-hansen)_, and _[_Etienne_](https://linkedin.com/in/etienne-krause)_._\n\n# 💜 **The Ask**\n\nWe are looking for talent in almost every area—from Sales to Frontend and ML Engineering. If you know anyone in the HVAC industry in Germany, we’d love an introduction.\n\nFeel free to drop us a message at [founders@autarc.energy](https://mailto:founders@autarc.energy) 📧 and follow us on [LinkedIn](https://www.linkedin.com/company/autarc-energy).",
        "url": "https://www.ycombinator.com/launches/LoX-autarc-the-os-for-heat-pump-installers",
        "votes": 57,
        "created_at": "2024-09-09T05:37:19.049Z"
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    "name": "Sepal AI",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sepal is a data research company on a mission to advance human knowledge and capabilities through safe AI.\r\n\r\nWe partner with the world’s leading AI labs and enterprises to help their models get better at the tasks people actually want them to do.\r\n\r\nWe’ve built a Cloud-Native Agent Dataset Factory which turns the process of generating evaluation and training data from manual, inconsistent, and labor-intensive into something automated, standardized, and scalable.\r\n\r\nSepal AI was founded in 2024 by engineers and operators from Vercel and Turing. We went through Y Combinator, raised several million dollars from leading investors, and already count multiple Fortune 500s and top AI research labs as paying customers.",
    "one_liner": "Data Development for Advanced AI",
    "team_size": 15,
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    "city": "San Francisco",
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    "linkedin_url": "https://www.linkedin.com/company/sepalai/",
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        "full_name": "Robi Lin",
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        "full_name": "Kat Hu",
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        "founder_bio": "Cofounder @ Sepal AI\n\nBuilt Turing’s Foundational LLM trainer business GTM. Ran orgs of 500+ AI trainers & built corresponding operations for scale. Previously was at McKinsey.",
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        "linkedin_url": "https://www.linkedin.com/in/kathleenhu/",
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        "title": "Sepal AI supports the launch of Anthropic's Claude 3.7 Sonnet with Pre-launch Testing",
        "url": "https://x.com/sepal_ai/status/1894157588142690695",
        "date": "May 01, 2025"
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      {
        "id": 82824,
        "title": "🌱 Sepal AI - Confidently deploy your AI models",
        "tagline": "We build benchmarks, evals, & training datasets for enterprises.",
        "body": "# **Tl;dr:** Sepal provides frontier data and tooling for advancing responsible AI development.\n\n# **__________________________________________________________**\n\n[Sepal AI](https://www.sepalai.com/?ref=launch_yc) is on a mission to advance human knowledge and capabilities with the responsible development of artificial intelligence.\n\n# **🧐 Responsibly advance human knowledge with AI? What does that mean?**\n\nWe believe in a world where AI advances scientific research and empowers economic growth. \n\nTo achieve that future, AI product & model builders need:\n\n1. **Golden Datasets and Frontier Benchmarking:** To iteratively measure model performance on specific use cases.\n2. **Training Data:** To improve model capabilities using fine-tuning and RLHF.\n3. **Safety / Red-teaming:** To measure and forecast the safety of LLMs before putting them out in the wild.\n\n# **__________________________________________________________**\n\n# ⚠️ **Okay, well why does it matter?**\n\nFrontier data for AI development is vital for safe deployment & scaling. However, developing this data is difficult. \n\nMost frontier data requires domain knowledge that can be hard to source and curate (e.g., finance, medical, physics, biology, etc.). Publicly available benchmarks (e.g., MMLU, GPQA, MATH, etc.) are contaminated and too general to be useful to actual product & model builders.\n\n# **__________________________________________________________**\n\n# **🌱 How do we do this?**\n\nWe’ve built Sepal AI - the data development platform that enables you to curate useful datasets.\n\n**The Platform:** We bring data generation tooling, human experts, synthetic data augmentation, and rigorous quality control into one platform so you can manage the production of high-quality datasets.\n\n![uploaded image](/media/?type=post&id=82824&key=user_uploads/860488/81dd4889-9694-4c67-8505-389edf7c3361)\n\n**Our Expert Network:** We’ve built a network of 20k+ experts across STEM and professional services (think academic PhDs, business analysts, medical professionals, marketing and finance consultants) to support campaign design & data development. \n\nSample engagements we’ve run:\n\n* **🧬 Cell and Molecular Biology Benchmark:** An original benchmark to evaluate complex reasoning across models. Produced by a team of PhD biologists from top institutions in the US.\n* **💼 Finance Q&A + SQL Eval:** A Golden Dataset to test the ability of an AI agent to query a database and produce human-expert-level answers to complex finance questions.\n* **📏 Uplift Trials & Human Baselining:** End to end support for conducting secure in-person evaluations on model performance. \n* _…. \\[insert your custom use case next?\\]_\n\n# **__________________________________________________________**\n\n# **🙏 Asks:**\n\n1. If you are building an AI application and need to measure or improve your model, or\n2. If you are a researcher at an AI lab building or evaluating models for new capabilities / risk areas, or\n3. If you’re passionate about the development of AI, AI safety, or evals in general…\n\nLet’s chat — please check us out at [www.sepalai.com](http://www.sepalai.com) \n\n# **__________________________________________________________**\n\n# **👪 Our team:**\n\n![uploaded image](/media/?type=post&id=82824&key=user_uploads/860488/a1187807-573a-4248-9181-6378d6e2b042)\n\nMeet [Kat](https://www.linkedin.com/in/kathleenhu/) (on the left), [Robi](https://www.linkedin.com/in/robert-lin1/) (in the middle), [Fedor](https://www.linkedin.com/in/f3d0r/) (on the right)!\n\nRobi and Kat previously built the technical LLM training business for Turing. Kat on the go-to-market & operations side. Robi on the product & fulfillment side. Fedor is a long-time close friend - he was an early engineer at Vercel & Newfront where he built out foundational infrastructure.\n\nSay hi: [founders@sepalai.com](mailto:founders@sepalai.com).",
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        "votes": 51,
        "created_at": "2024-08-07T18:46:33.791Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are on a mission to provide faster and affordable access to the justice system - starting with depositions and trials.\r\n\r\n1000s of depositions and trials run through DraftTheRecord every week including Senate and House meetings, Confidential federal hearings, criminal proceedings like murder trials, and civil lawsuits involving family disputes, personal injury and much more.\r\n\r\nDuring legal proceedings,\r\n• DraftTheRecord provides real time assistance to attorneys, previously requiring a legal team. The platform then helps analyze depositions and other evidence cutting down trial prep time from weeks to days. \r\n• Court reporters use DraftTheRecord to capture audio and generate live transcript drafts for attorneys and judges. \r\n• Transcribers use our legal-specific AI transcription model to cut transcription time by 3x.",
    "one_liner": "AI For Litigation",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1724988357,
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        "full_name": "Yash Ramchandani",
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        "id": 83816,
        "title": "Focus Buddy - AI productivity coach to get more work done",
        "tagline": "The AI you speak to 3-4 hours every day to help you think clearly, avoid distractions and be held accountable",
        "body": "### **TLDR**\n\n_FocusBuddy is an AI productivity coach that sits in the background on your computer and speaks to you while you work to help you think clearly, avoid distractions and hold you accountable. Our users converse with the AI over a phone call for 3-4 hours everyday while they’re working_.\n\n### **The Cost of ADHD** \n\nWe’re starting by focusing on people that struggle with ADHD\n\n**People with ADHD consider it the BIGGEST blocker in their life and the PRIMARY cause of their poor grades, missing promotions, and getting fired.**\n\n* 17 million adults and children in the US\n* 2-4 more hours wasted every day compared to peers\n\nBeyond ADHD, there are 80 Million people knowledge workers in high income countries that struggle with workplace productivity that FocusBuddy will serve\n\n### **How Focus Buddy helps our user Jeff**\n\nJeff is a brilliant product engineer who has ADHD. He often struggles to complete work due to his tendency to hyper-focus on details and get distracted by sudden impulses. Here is what Jeff's new workflow looks like since he started using FocusBuddy: \n\nJeff calls Focus Buddy first thing in the morning after breakfast. They go over his to-do list together and create a schedule for his day. Jeff then begins his first task - writing a draft PRD. He explains his approach to FocusBuddy and asks for frequent check-ins to keep him on track. \n\nAn hour into drafting, Jeff notices a small discrepancy in a user activity chart. His ADHD brain latches onto this detail, and he spends the next 30 minutes hyper-focusing on it, losing sight of the bigger picture. Just then, FocusBuddy speaks up: \"How's it going?\" Jeff explains: \"He is still figuring out the details on the chart\" FocusBuddy detects that Jeff has been hyper-focusing on a detail and helps Jeff realize that he is falling behind on schedule with more important parts of the PRD.\n\nFocus Buddy then works with Jeff to wrap up work on the chart discrepancy and reorganize his schedule to come back to the chart later in the day. They then do a 5-minute meditation to shift his focus away from the discrepancy and ease his mind back onto the main task. At the end of the day, FocusBuddy helps Jeff perform a daily reflection and prepare for his day tomorrow.\n\nJeff and our other users experience multiple types of interventions by Focus Buddy every single day and attribute their new-found productivity to it.\n\n### **Why Focus Buddy works**\n\nToday, people with ADHD spend hours every day virtually co-working on apps like Focusmate, updating to-do lists, using meditation apps like Calm, and journaling with little success. It is extremely hard to keep these apps updated, they have very little context about you and are unable to proactively provide timely support when needed. \n\nFocus Buddy is deeply integrated, is seamless to interact with, builds a lot of context over time and is able to leverage this context at critical moments to provide the necessary support.\n\nOn top of that, our voice AI infrastructure is revolutionising the way humans and AI interact. we're crafting an entirely new paradigm for fluid, natural conversations that feel as intuitive as talking to another person. Here are some examples:\n\n[**Multimodal Voice + Text Conversation**](https://youtu.be/d4FpwMfz_Ow)\n\n[**Proactive AI Initiated Check-ins**](https://youtu.be/XOgYMysjZ10)\n\n### **Our Team**\n\n![uploaded image](/media/?type=post&id=83816&key=user_uploads/650126/d303db31-ba55-407a-a001-09b86bbe9aa3)\n\n[Adnan](https://www.linkedin.com/in/adnan-sherif-as/) and [Yash](https://www.linkedin.com/in/yashmr/) have been best friends for over a decade, roommates for the last two years, and worked on the Google Pixel team as a Product Manager and ML Engineer. Yash led product and safety for Generative AI apps on the latest Pixel phone, while Adnan worked on training and deploying low-latency, resource-constrained, fully on-device Gemini models used by these apps.\n\nAdnan is a national triple jump champion, and prior to Google, he conducted AI research at UC Berkeley’s SkyLab with Ion Stoica (co-founder of Databricks), focusing on scaling graph machine learning to problems with millions of nodes. Yash has worked at startups like Kalshi and Relay, helping them from pre-launch to launch.\n\nAdnan learned to manage the ADHD symptoms he faced throughout high school and college and went on to help others cope with the same condition.\n\n# **Our Asks**\n\nReach out to us at [founders@focusbuddy.ai](mailto:founders@focusbuddy.ai) to learn more and sign up on our website to try us out and give us feedback. If you know anyone with ADHD, feel free to send them our way\n\nContact:  [founders@focusbuddy.ai](mailto:founders@focusbuddy.ai)  | Website: <https://www.focusbuddy.ai/?ref=yc>",
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        "created_at": "2024-09-06T17:41:22.363Z"
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    "long_description": "We help businesses capture what resonates, make it repeatable, and turn attention into lasting momentum. With Typa, you can build a scalable inbound growth engine with content that compounds.\r\n\r\nWe make this possible through three pillars:\r\n\r\n1. A tone of voice that always sounds like you. Typa learns your style, cadence, and perspective so every piece of content reflects your authentic voice.\r\n\r\n2. A knowledge base that updates in real time. Your digital clone continuously absorbs everything you say and create, ensuring your content always reflects your latest thinking.\r\n\r\n3. A personal ghostwriter that’s always just a call away. Puff is your 24/7 AI ghostwriter and strategist, available via phone or WhatsApp whenever you want to brainstorm, plan, or execute.\r\n\r\nCurrently supported channels: X, LinkedIn, Bluesky, and blog/newsletters.",
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    "subindustry": "B2B -> Marketing",
    "launched_at": 1718861250,
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      {
        "id": 83213,
        "title": "Weavel - Ape 🐒 Your first AI Prompt Engineer",
        "tagline": "Get fast (7 hours → 10 minutes🔻) & efficient (70% → 93%🔺)",
        "body": "![uploaded image](/media/?type=post&id=83213&key=user_uploads/1564365/8f68d0d9-5e48-46ee-852f-a6a841232f11)\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/1564365/d1d98093-7792-4954-bd9d-a588f0658a53)\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/1564365/85f4ffe2-bf2f-4cb2-966c-2501c2b4fbe2)\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/1564365/9cf399d9-e818-4bfb-9da4-42ac9ed3736f)\n\n# **☕️ TL;DR**\n\n* **Ape** is the ultimate **AI prompt engineer** 🐒, designed to optimize your prompts by reducing cost and latency while increasing performance.\n* Ape achieves an **impressive 94.5%** on the GSM8K benchmark, surpassing Vanilla (54.5%), CoT (87.5%) and DSPy (90.0%).\n* **Easy to set up evaluation**: Ape can auto-generate evaluation code and use LLMs as a judge, or you can use your own eval metrics.\n* Get set up in less than 15 minutes and see the difference.\n  * [Schedule a meeting](https://cal.com/team/weavel/weavel-onboarding) to discover more. Let's chat! 🙂\n\n# **🔒 Problem**\n\nYou’re an engineer of an LLM app, trying to get the prompts just right. Every time you type something in, the output changes—so you tweak a word here and there, and it changes again. Sometimes the outputs looks better, sometimes not. But you’re never sure. Hours go by, all spent on prompt engineering.\n\nGetting the outputs you want can feel like an endless game of trial and error. And you’re not alone. Over the past few weeks, we’ve talked to over 100 YC companies, and a lot of them are facing the same challenges:\n\n* **Measuring output quality is hard** (You’re heavily relying on manual evaluations at the moment.)\n* **Prompt engineering does not work as you want** (You hate spending 5-7 hours a day searching for that one great prompt.)\n\n# **🔑 Solution**\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/1564365/ddf5778d-78d0-4ff2-a4aa-b84624aeebc0)\n\nWe solve the problem with one simple formula:\n\n```\ngood input + right guidance = better prompts\n```\n\nToday, we launch Ape, your first **AI Prompt Engineer**. Inspired by DSPy, Reflexion, Expel and other research papers, Ape iteratively improves your prompts. Here’s how Ape works:\n\n1️⃣ Log your inputs and outputs to Weavel (with a single line of code!)\n\n2️⃣ Let Ape filter the logs into datasets.\n\n3️⃣ Ape then generates evaluation code and uses LLMs as judges for complex tasks.\n\n4️⃣ \u001dAs more production data is added, Ape continues refining and improving prompt performance.\n\n### **How to use**\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/1564365/0c1eeedd-ac08-40e7-ad35-acff6766c2c1)\n\n**Create a Dataset**\n\nChange just one line of code to start logging LLM calls with the Weavel Python SDK. The SDK supports sync/async OpenAI chat completions and OpenAI structured outputs.\n\nYou can also import existing data or manually create a dataset.\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/1564365/bdfc79bd-edeb-4dbf-8c9b-7d432007fa3a)\n\n**Create a Prompt**\n\nWrite a prompt that corresponds to your dataset. You can add an existing prompt as the base version, or if you prefer, create a blank prompt and provide a brief description for Ape to create a prompt from scratch.\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/1564365/1bfacea3-c2d9-4ac8-90d7-9a6d3e37fd60)\n\n**Optimize Prompts**\n\nTo optimize your prompt using Ape, fill in the necessary information (e.g. JSON schema as you want) and then run the optimization process. An enhanced version of your prompt will be created and available soon.\n\nTa-da! It’s that easy. Ape outperforms with a remarkable 94.5% score on the GSM8K benchmark, surpassing Vanilla (54.5%), CoT (87.5%) and DSPy (90.0%). With Ape, you can optimize the prompt engineering process, saving tons of time and cost while increasing performance.\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/2002273/45b5ec84-f89d-4d57-9e20-ad349f521c97)\n\nApe is **open source**. [Check out our repository on GitHub.](https://github.com/weavel-ai/Ape) (We’d appreciate a star 🌟)\n\n# **🚀 The Team**\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/1564365/201595e0-e85e-4931-81aa-a9947754b1b4)\n\nFrom left to right: [**Jun**](https://www.linkedin.com/in/jun-park314/), [**Andrew**](https://www.linkedin.com/in/sounhochung/), and [**HyunJie**](https://www.linkedin.com/in/hyunjiejung/) — together we’re building Weavel.\n\n**Andrew** and **Jun** built 10+ LLM-based products, open-sourced a prompt engineering platform, and co-authored a paper at a NeurIPS workshop last year. **HyunJie** worked on data analytics and optimization at Chartmetric and DevRev, and focused on growth marketing at Liner.\n\n# **🙏 Ask**\n\n* Try Ape! [Schedule](https://cal.com/team/weavel/weavel-onboarding) a walkthrough with the Weavel team or email [hyunjie@weavel.ai](mailto:hyunjie@weavel.ai).\n* Share thoughts on our [Discord](https://weavel.ai/discord) or DM us on [Twitter](https://x.com/weaveldotai).\n* If you know anyone struggling with prompt engineering or evaluations for LLM apps, connect them with us!\n  * Copy & paste blurb: A YC company named Weavel has developed an AI prompt engineer (Ape in short) which continuously improves your prompts. It’ll save tons of time for you. You can grab a time [here](https://cal.com/team/weavel/weavel-onboarding) for a demo from the founders.\n\n![uploaded image](/media/?type=post&id=83213&key=user_uploads/2002273/d937ab74-d39f-44cb-82f8-8454bf017ed1)\n\n",
        "url": "https://www.ycombinator.com/launches/Le9-weavel-ape-your-first-ai-prompt-engineer",
        "votes": 111,
        "created_at": "2024-08-20T14:56:52.551Z"
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    "name": "Quetzal",
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    "website": "https://getquetzal.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Quetzal is the first fully LLM-powered translation and internationalization suite, enabling companies to translate and internationalize their software and content instantly with minimal setup. We also handle all of your internationalization issues, from managing all of your stakeholders to bringing your product and marketing to market. No more waiting days or even weeks for translated content! Deliver a perfect experience to your users in any language, instantly.",
    "one_liner": "Simple, LLM-first translation and internationalization for software",
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    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Brendan Agliardo",
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        "title": "Quetzal 🦜 A modern internationalization platform",
        "tagline": "Say hello to Quetzal, your all-in-one solution for software internationalization",
        "body": "**_tl;dr_** - We’re the fastest and easiest way to solve all of your translation and internationalization issues in one platform.\n\nHello, Hola, Guten Tag, 你好, etc., to you all! We’re John and Brendan, the team creating [Quetzal](https://getquetzal.com/).\n\n![uploaded image](/media/?type=post&id=82510&key=user_uploads/1755404/113a9847-7718-45ff-9f1e-ac6df1d8d02f)\n\n**John** (on the left) worked for three years at Slack on the Slack Connect team, handling new features and requests from customers around the world. He saw firsthand the pain that bad and challenging translations and internationalization had for everyone at the company, from engineers, to CSMs, to PMs, to users.\n\n**Brendan** (on the right) worked for two years at Mercatalyst, a retail startup founded by the creator of Woot.com, which sold to Amazon in 2010. He worked extensively on the project bringing in in-house Spanish translation, and experienced the headache that this effort caused.\n\nTogether, they decided to bring outdated and broken internationalization software and approaches into the year 2024 with Quetzal.\n\n# **Why is the current approach to internationalization and translation broken? 🤕**\n\nIf you're just starting out going international with your product, it can be daunting to see exactly what you need to do. Translating your whole product takes time and perhaps maybe weeks or months of engineering effort, depending on what solution you go with. How do you deliver consistent and accurate translations with context about how your application works? Software translation mostly relies on engineers haphazardly providing text to an internationalization service, which then needs to translate on a string by string basis. This strategy loses important context and leads to poor quality, inconsistent translations, all while putting unnecessary work on engineers.\n\nIf your company already has a robust localization system, there's a whole host of other problems. You need to juggle the constant barrage of customer confusion, growth and change to your product and messaging, and external demands to adjust wording and phrasing, sometimes at the last second. Keeping up with all of that and making your language and messaging consistent with how your product works and what your intents are is super tough and puts unnecessary stress on your localization team.\n\nQuetzal aims to tackles these problems with a new modern internationalization solution that understands your specific goals with each localization problem you're trying to solve.\n\n# **Our ask to you, kind reader:**\n\n* If you’re trying to internationalize or have already done it but are experiencing pain in the process (or if you know someone that is!) please reach out to us at [john@getquetzal.com](mailto:john@getquetzal.com) or [brendan@getquetzal.com.](mailto:brendan@getquetzal.com)\n* Connect us with people on Internationalization and Localization teams within your network so we can see what their pain is.\n* **Share this post!** If you think what we’re doing is cool, share this post out to your network!\n* Or if you just want to practice a second language (we speak English, Spanish, Mandarin, and German between us), play chess, or just chat about internationalization, let us know!\n\n(Yes, we know that we used a parrot emoji in the title, please let us know when they add a real quetzal).\n\nThank you very much for reading,\n\nJohn Thompson & Brendan Agliardo",
        "url": "https://www.ycombinator.com/launches/LSo-quetzal-a-modern-internationalization-platform",
        "votes": 26,
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    "long_description": "We help distributors and manufacturers turn catalog chaos into launch-ready products. Share vendor data, pull online specs and pricing, fuzzy match to your database, generate images, and output products in your exact schema.",
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    "subindustry": "B2B -> Retail",
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    "city": "London",
    "country": "GB",
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        "full_name": "Baptiste Cumin",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Rastro: the fastest way for retailers to launch thousands of products. \n\nPreviously a lead on Shopify's catalog team for 6 years as a Staff AI Engineer.",
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        "full_name": "Augustin Baudoin",
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        "founder_bio": "COO @ Rastro - Launch products faster\n\nPreviously Ops @ Uber and DS @ Criteo / French Gov.",
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        "full_name": "Papa Sougou Wele",
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        "body": "I used to be an AI lead on Shopify’s catalog. We worked with everything from sex toys (real story) to lightbulbs, for 2bn products. Chaotic catalogs, and lots of war stories.\n\nSince then, we heard the same problem from large catalog merchants like Sunco. Vendors send them Excel sheets with 30% missing data, inconsistent product identifiers and blurry images.\n\nOur catalog agent lives for these headaches. Share any vendor data, pull competitor pricing and product specs, generate images, standardize attributes and output products at scale.\n\n![uploaded image](/media/?type=post&id=95204&key=user_uploads/1651987/c9dffef9-b2c2-4762-a90f-fdce9c5a2b63)\n\nThe result? A customer told us “[Rastro.AI](http://Rastro.AI) gave us a new scale”. We get thousands of products out of their backlog, and quality listings online.\n\n**Ask**: do you know any retailers or distributors with 5k+ products? We’ll help them launch their next product line in the first month, or offer a refund. \n\n![uploaded image](/media/?type=post&id=95204&key=user_uploads/1651987/f45b9b48-912f-44a4-bb47-f80019f8a058)\n\n",
        "url": "https://www.ycombinator.com/launches/OlY-rastro-ai-launch-products-faster",
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        "id": 83240,
        "title": "Rastro: Your personal interior designer",
        "tagline": "Find beautiful objects for your home, at no extra cost.",
        "body": "# Should it cost you 50k to decorate your home?\n\nDecorating your home? You have 2 choices: hire an interior designer for $50k, or spend 50 hours doing it yourself. A beautiful home, time, money: pick two.\n\nRastro is your hassle-free personal shopper and interior designer:\n\n1. We craft your taste profile in a 15-minute call.\n2. We find you matching decor from 46 sources.\n3. We buy what you love, delivered to your door.\n\nAre you decorating your space? \\\n[**Book your 15-minute onboarding call here.**](https://forms.fillout.com/t/eJHrqtsGiKus)\n\n![uploaded image](/media/?type=post&id=83240&key=user_uploads/2075162/4c6ff5d7-be50-45e6-9245-51b6f184a78c)\n\n# 💡 How we got here\n\nIn our first week at YC, we built a tool to help interior designers source furniture for less. Early on, a designer told us, “Getting an $8k chair for $4k isn’t material, we do $75k jobs.” Not sure their customer would agree, but it does explain their fee.\n\nMost of us know our taste, but scrolling dozens of websites is a waste of time. Niche sourcing channels are jealously guarded by professional dealers, and the best inventory is difficult to find.\n\n# ✅ Rastro’s Solution\n\nRastro is your personal interior designer, with no up-front costs.\n\n1. In an onboarding call, we craft a taste profile for you. Show us your space and tell us what you’re looking for. Share specific pieces you love, styles that inspire you, and how your home is laid out.\n2. Our sourcing agents automatically scour through 46 different sites to find decor matching your tastes. We look through auctions and listing sites as well as classic sources like 1stDibs or West Elm. You receive our top picks and share your feedback directly on Rastro.\n3. We deliver everything you purchase to your door, leveraging retailer partnerships and referrals to ensure a same-price guarantee.\n\nLet us help you decorate your home: book your onboarding call today at [**rastro.sh**](https://rastro.sh)\n\n![uploaded image](/media/?type=post&id=83240&key=user_uploads/89898/037237d1-8a7b-4779-9d3c-2e8b27a42f9c)\n\n",
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        "founder_bio": "Co-Founder of Voker, providing Analytics for AI Agents",
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      {
        "id": 83545,
        "title": "⭐ Voker - The Agent Analytics Platform",
        "tagline": "Voker is analytics for the agentic era, so you can build the best agents possible.",
        "body": "### TL;DR: Voker is analytics for your conversational agent product, so you can build the best agents possible.  Our SDK transforms AI agent interactions into structured analytics dashboards that anyone on your team can use. Agent-first products like Lightfield use Voker to monitor and optimize their agents.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/7ff55d8b-ee06-4147-97c4-1236c50e0c5c)\n\n## The Team 👬\n\n\\\n[Tyler](https://www.linkedin.com/in/tyler-postle/) and [Alex](https://www.linkedin.com/in/alex-r-87470a198/) have been building Data and AI products and consulting for 9-figure businesses together since 2021. Tyler studied Physics at the College of Creative Studies @ UCSB, operated a $100M DTC e-commerce company, and was Director of Data at Appfolio (NASDAQ:APPF). Alex built AI infrastructure at multi-billion dollar companies and has a Masters in Computer Science.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/7d84f9c1-3d35-4e71-b359-162168ae0cae)\n\n_Founders left to right: Tyler Postle (CEO), Alex Rudolph (CTO)_\n\n## 🧨 The Problem: You have agents in production but you can’t keep track of quality and usage.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/6f2ad306-cb84-4b1d-9b7a-a8ae6ae9f054)\n\nIf you are building an agentic product with usage growing rapidly...\n\n* Scanning traces doesn't tell you if agents are helpful, accurate, or hitting walls. You only find out when customers complain or attrition skyrockets.\n* Every stakeholder needs data. Every request pulls engineers away from building. Nobody can self-serve insights.\n* Product and business teams need to quantify the impact of their AI investments. You have usage stats, but your team is struggling to connect agent performance to conversion, retention, or revenue.\n\n## 🎉 The Solution: Agent Analytics\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/8bbbfd52-25aa-43db-aab0-d75ac050a9a3)\n\nVoker transforms user &lt;> agent interactions into structured analytics that anyone on your team can use.\n\n* PMs, analysts, and business teams get digestible insights they need without tickets, bottlenecks, or delays.\n* Track what AI agents are saying, identify knowledge gaps, detect abnormalities, and measure improvement over time.\n* Connect agent metrics to outcomes that matter by correlating conversational data with user data you’re already collecting.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/b9b51bc2-ecc3-46ba-8820-ec3e81d62db2)\n\n**You shouldn’t have to wait for users to complain** to learn that a recent prompt change is breaking your hotel booking agent, or that the AI finance advisor you built is calling the wrong tool to look up realtime stock prices.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/6a8cd7f8-6e16-4b63-a9a1-ab025f0b0f6e)\n\n### Try for Free!\n\nInstall the [Voker SDK](https://app.voker.ai/docs) on our [free tier](https://voker.ai/#pricing) (up to 2,000 events/mo), and start building better agents today: <https://voker.ai/>",
        "url": "https://www.ycombinator.com/launches/LjV-voker-the-agent-analytics-platform",
        "votes": 352,
        "created_at": "2024-08-28T16:43:35.019Z"
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    "website": "https://www.therentflow.com",
    "all_locations": "Miami, FL, USA",
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    "one_liner": "The AI infrastructure for cash-flow-aligned business rent",
    "team_size": 3,
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    "subindustry": "B2B",
    "launched_at": 1722719636,
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      "Generative AI",
      "SaaS",
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      "Proptech"
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        "full_name": "Joseph Thalinjan",
        "title": "Founder/CEO",
        "founder_bio": "Joseph is the Co-Founder & CEO of RentFlow.\nBefore, he was a consultant at McKinsey & Company for 3 years, focusing on real estate and financial services.\nHe holds a Master of Science from CentraleSupelec Engineering School and a Master in Management from ESCP Europe Business School.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joseph-thalinjan",
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        "full_name": "Alix Maurin",
        "title": "Founder/CEO",
        "founder_bio": "Alix is the Founder & CEO of RentFlow. She was a consultant at McKinsey & Company for three years, specializing in fintech strategy and business banking. Earlier in her career, she worked at Uber EMEA and Amazon. She holds a Master’s in Management from ESSEC Business School.",
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    "id": 29839,
    "name": "Serve AI",
    "slug": "serve-ai",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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        "user_id": 1984796,
        "full_name": "Kamal Nahas",
        "title": "Founder/CEO",
        "founder_bio": "Kamal earned a B.S. in Electrical Engineering and Computer Sciences from UC Berkeley, worked at Apple as a Security/ML software engineer intern, and met hundreds of engineers while working at Human Capital. He grew up in Lebanon, where he led operations resulting in 230+ families fed for an entire month and 25+ civilians housed.\n",
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        "full_name": "Anthony Rassi",
        "title": "Founder/CTO",
        "founder_bio": "Anthony graduated from USC in Computer Engineering and Computer Sciences and worked at Addepar as a product engineer intern. He grew up in Lebanon, where he won a national hackathon, built a 5-figure affiliate marketing business, and led an engineering team at the country’s largest retailer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anthonyrassi",
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      {
        "id": 112656,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/serve-ai/jobs/0D4OoO2-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $240K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "React",
          "TypeScript",
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      {
        "id": 83836,
        "title": "pap! — Automatic refunds for consumers",
        "tagline": "We automate refunds for consumers when they shop, fly, travel, subscribe… and live.",
        "body": "**TLDR:** Every year, consumers miss out on more than **$50B** because they are not claiming the money they are entitled to. We built AI agents that claim it for them.\n\n![uploaded image](/media/?type=post&id=83836&key=user_uploads/1984796/7093e028-b7ff-4ac4-9942-f98c49b9d002)\n\n# The Problem 🚩\n\nWhen stuff you’ve already bought goes on sale or when flights you’ve booked are delayed, policies entitle you to money. But spotting these opportunities and claiming the cash you’re owed is time-consuming and confusing. Industries subject to such policies include retail, airlines, hotels, technology, and even the government.\n\n# Our Solution 💸\n\nWe're building AI that connects to your email inbox to: scan your e-receipts, identify opportunities to get you dollars, and automatically claim them by contacting customer service via email, phone, forms, or chat.\n\nWe started by automating refunds in the shopping industry and have secured $6,650, growing **233% MoM**. With AI, we've been able to generalize that same automation to tackle refunds in the flight industry and the class-action lawsuit landscape. That’s when we understood why this had never been done before…\n\n# Why now? 🚨\n\nAI enables us, for the first time, to automatically:\n\n1. **Reason about unstructured data at scale**\n2. **Handle complex, nuanced customer service interactions**\n\n \n\nGeneralizing securing refunds from one industry to all industries turns each step of the process into an unstructured data processing problem. For example, having a parser that can only understand Cotsco receipts and a scraper that can only read the price from the Costco website is not enough anymore: you need a parser that can understand changing receipts from all enterprises and a scraper that can read information from any website. The ability to reason about unstructured data at scale replaces the rigid, static software, solving the issue.\n\n### In short, PAP! represents an opportunity to finally realize the dream customer journey — sign up once, forget we exist, and earn money effortlessly.\n\n# Our Team 👨‍👨‍👦\n\n* [Weijie](https://www.linkedin.com/in/wjwang2/) (CTO) spent 6 years in e-commerce and was the lead infra engineer for Wish’s recommendation system, the product that fueled their IPO. He was a Senior SWE at Bolt and StackAdapt. He graduated from Waterloo & UIUC.\n* [Kamal](https://www.linkedin.com/in/kamal-nahas/) (CEO) earned a B.S. in Electrical Engineering and Computer Sciences from UC Berkeley, worked at Apple as a Security/ML software engineer intern, and met hundreds of engineers while working at Human Capital. He grew up in Lebanon, where he led operations resulting in 230+ families fed for an entire month and 25+ civilians housed.\n* [Anthony](https://www.linkedin.com/in/anthonyrassi/) (COO) graduated from USC in Computer Engineering and Computer Sciences and worked at Addepar as a software engineer intern. He also grew up in Lebanon, where he won a national hackathon, built a 5-figure affiliate marketing business, and led an engineering team at the country’s largest retailer.\n\n# Our Ask 🙏\n\n1. Sign up at [joinpap.com](http://joinpap.com) (_bonus_: share your feedback with us at [founders@joinpap.com](https://mailto:founders@joinpap.com)).\n2. **Share this post and tell your friends about it!** Everyone deserves to earn the money they are entitled to.",
        "url": "https://www.ycombinator.com/launches/LoC-pap-automatic-refunds-for-consumers",
        "votes": 367,
        "created_at": "2024-09-07T21:30:50.936Z"
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    "id": 29844,
    "name": "Oway",
    "slug": "oway",
    "former_names": [
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    "website": "https://www.oway.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The physical economy still operates without a common language. Enterprise systems, factories, trucks, and robots generate enormous amounts of data, but most remains fragmented across legacy software and incompatible formats. Without a shared understanding of what is happening, even the most advanced AI cannot reliably coordinate how goods are made, moved, and delivered.\r\n\r\nOway is building that common language. Our protocol, IOI, connects enterprise systems and physical hardware, cleaning messy legacy data and live telemetry into a standardized schema that AI can understand and act on. Through a shared API, businesses can query their operations, identify inefficiencies, and automate actions across systems without replacing their existing software.\r\n\r\nOur first model, Juno, applies this intelligence to unused truck capacity. It tracks empty space on trucks and sells it at a 50% discount to businesses shipping in the same direction. By moving freight directly on trucks already making the trip, Oway reduces shipping costs, damage, and transit times while generating additional revenue for carriers.\r\n\r\nEvery connected system and shipment expands our understanding of capacity, pricing, routes, facilities, and industrial operations. As this network grows, Oway is building toward a future where enterprise software, automated factories, self-driving vehicles, and robots can communicate and coordinate through one shared layer, making the physical economy programmable.",
    "one_liner": "Building the open operating system for the automated physical economy.",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1717601253,
    "tags": [
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      "API",
      "Infrastructure",
      "AI",
      "Industrial"
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/oway.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/oway/",
    "x_url": "https://twitter.com/owayinc",
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    "cb_url": "https://www.crunchbase.com/organization/oway-a533",
    "github_url": "https://github.com/Oway-Inc",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
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        "user_id": 993914,
        "full_name": "Phillip Nadjafov",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Oway, building the Internet of Industrials (IOI), a common protocol that connects industrial systems and gives AI the context to coordinate the physical economy.\n\nPreviously co-founded Isotrex, a multinational defense manufacturer, at 16. Built its supply chain and production end to end, became CEO in 2019, and scaled it to roughly $100M in annual revenue and 4,000+ vehicles built.\n\nSystems engineer and designer focused on American industrial automation.",
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        "linkedin_url": "https://www.linkedin.com/in/phillipnadjafov/",
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      {
        "id": 115283,
        "title": "Staff Engineer, IOI (Internet of Industrials)",
        "url": "https://www.ycombinator.com/companies/oway/jobs/My3AkWy-staff-engineer-ioi-internet-of-industrials",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$220K - $300K",
        "equity_range": "0.30% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 115284,
        "title": "Senior Full-Stack Engineer, IOI Applications",
        "url": "https://www.ycombinator.com/companies/oway/jobs/kigce04-senior-full-stack-engineer-ioi-applications",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$185K - $250K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
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        "title": "Forward Deployed Engineer, Enterprise",
        "url": "https://www.ycombinator.com/companies/oway/jobs/AqsthKE-forward-deployed-engineer-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$185K - $220K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Data Warehousing",
          "Data Modeling",
          "AI Agents"
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      },
      {
        "id": 115286,
        "title": "Strategic Partnerships Lead, Enterprise",
        "url": "https://www.ycombinator.com/companies/oway/jobs/bGqgrpO-strategic-partnerships-lead-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "0.20% - 1.00%",
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        "visa": "US citizen/visa only",
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      {
        "id": 115287,
        "title": "Enterprise Sales Manager, Pod Lead",
        "url": "https://www.ycombinator.com/companies/oway/jobs/dRnkn65-enterprise-sales-manager-pod-lead",
        "location": "San Francisco, CA, US",
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      {
        "id": 115288,
        "title": "Fleet Partnerships Director, IOI (Internet of Industrials)",
        "url": "https://www.ycombinator.com/companies/oway/jobs/EEzVXlb-fleet-partnerships-director-ioi-internet-of-industrials",
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        "id": 115290,
        "title": "Quantitative Researcher, IOI Index",
        "url": "https://www.ycombinator.com/companies/oway/jobs/LHEjh2d-quantitative-researcher-ioi-index",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
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      {
        "title": "5 Founders Building the Future of Logistics, AI, and Industrial Technology - The San Francisco Tribune",
        "url": "https://thesanfranciscotribune.com/5-founders-building-the-future-of-logistics-ai-and-industrial-technology/",
        "date": "Oct 15, 2026"
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      {
        "title": "How Oway uses AI to fill empty trucks and cut shipping costs - FreightWaves",
        "url": "https://www.freightwaves.com/news/how-oway-uses-ai-to-fill-empty-trucks-and-cut-shipping-costs",
        "date": "Sep 30, 2025"
      },
      {
        "title": "YC-backed Oway raises $4M to build a decentralized ‘Uber for freight’ | TechCrunch",
        "url": "https://techcrunch.com/2025/08/22/yc-backed-oway-raises-4m-to-build-a-decentralized-uber-for-freight/",
        "date": "Aug 22, 2025"
      },
      {
        "title": "9 startups that stood out on YC Demo Day 2 | TechCrunch",
        "url": "https://techcrunch.com/2024/09/26/9-startups-that-stood-out-on-yc-demo-day-2/",
        "date": "Sep 26, 2024"
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    "launches": [
      {
        "id": 122375,
        "title": "Oway: Building the Internet of Industrials",
        "tagline": "Oway connects industrial systems through a common protocol, giving AI the context to coordinate the physical economy.",
        "body": "**TL;DR:** We’re building the Internet of Industrials (IOI), a shared context layer connecting industrial systems and giving AI a common basis of structured data across companies. IOI already powers Oway, where our first model, Juno, uses it to coordinate shipments through unused truck capacity. We’re opening that same foundation to robotics, automated factories and other industrial systems to accelerate US industrial automation.\n\n![](/media/?type=post&id=122375&key=user_uploads/993914/9346b6ba-f710-49c9-9ecb-72882cc13bca)\n\n**An example:** A factory asks its AI for eight units of mild steel by tomorrow morning. Through IOI, the AI coordinates production with a connected certified supplier and books a connected truck for delivery. All three systems share the context needed to execute and track the order.\n\n### The problem\n\nAmerica is building new factories, deploying automation, and developing autonomous vehicles. But the systems connecting industrial operations still speak different languages.\n\nInventory, capacity, equipment, orders, and operating constraints are scattered across ERP systems, TMSs, warehouses, carriers, sensors, and closed systems. That fragmentation extends across the companies that need to work together. AI cannot reliably coordinate physical work without understanding what exists, what is available, and what each system can do.\n\nProductive capacity goes unused while businesses pay more to make, store, and move goods.\n\n### Introducing IOI\n\nWe built IOI as the backend that runs Oway. It already connects every Oway customer and carrier. We’re now making it available to other businesses as a common structured context layer.\n\nOur thesis is that logistics provides the foundational language for an industrial network. Nearly every physical business can be described through a common set of primitives: **what exists, where it is, where it needs to go, available capacity, time, cost, constraints, storage, and transformation.**\n\nIOI translates those states into structured data that enterprise software, physical hardware and AI agents can share across company boundaries. Businesses can build nodes alongside their existing systems instead of replacing them. \n\nSetting up an IOI node is extremely simple, our default setup allows you to simply plug Oway in as a “carrier” into your stack that monitors and optimizes your supply chain quotes and orders - automatically gaining the context to build a full IOI data lake for you that already has action capabilities and can infer your inventory levels and SKU-level performance. Data can then automatically be fed back to SAP, Oracle Netsuite, or any data system / AI agent you’d like.\n\n![uploaded image](/media/?type=post&id=122375&key=user_uploads/993914/c9f841f6-3976-429b-9f25-81e63bc0c113)\n\nIOI will be open source soon, with Oway maintaining the standard so developers can build compatible systems. It is designed around widely adopted enterprise security practices, with each business controlling its data, access permissions and authorized actions. Nodes can run in enterprise clouds or at the edge.\n\n**Below: Ask IOI anything -** Each Oway enterprise customer also gets search functionality out of the box. \n\n![](/media/?type=post&id=122375&key=user_uploads/993914/07bea764-9c83-47a6-8c71-97f5130d28b5)\n\n### Our first model: Juno\n\nJuno is our first AI model. It reasons over IOI to price, coordinate and execute pooled shipments on trucks already traveling the route.\n\nBy ridesharing shipments into capacity already moving, we lower costs, shorten transit times and reduce damage from handling. Carriers earn from their existing capacity, with legal paperwork, insurance and DOT compliance all automatically monitored and handled.\n\n**Below: Juno in Oway OS.** A full API, MCP and EDI-compatible suite that enables businesses to leverage Juno’s rideshare capabilities however they’d like for freight shipping.\n\n![](/media/?type=post&id=122375&key=user_uploads/993914/f2a8e9b3-a635-4c69-b9a8-4c5d3f8eb1f7)\n\nWe estimate this is a **$200B+ annual optimization opportunity within America’s roughly $1T trucking industry**.\n\nWith Oway Rideshare, we deliver average savings of 30% per transaction, while also reducing damage rates, and transit times as well for cross-country shipments.\n\nFreight gives IOI an operating environment where its primitives have to produce real physical outcomes.\n\n### Where we’re going\n\nEvery connected system and shipment adds context about capacity, pricing, routes, facilities, and industrial operations.\n\nThat shared context gives robotics companies, automated factories and self-driving trucks a way to communicate and coordinate across companies. Every company on Oway, and even Oway’s model - are already running on IOI. We believe that providing these capabilities at a national level will lead to significant improvements to the GDP and global competitiveness of US-made products.\n\nOway + IOI already serves Fortune 500 companies, connects over 10,000 vehicles nationwide, and indexes hundreds of millions of dollars in annualized shipping demand.\n\nIf you’re working at a company that makes, stores, or moves physical goods, [we’d love to show you what we’re building](https://www.shipoway.com).",
        "url": "https://www.ycombinator.com/launches/Vpn-oway-building-the-internet-of-industrials",
        "votes": 23,
        "created_at": "2026-10-15T15:50:53.501Z"
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    "id": 29848,
    "name": "Saldor",
    "slug": "saldor",
    "former_names": [
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    "website": "https://saldor.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Saldor is the AI-native procurement and accounts payable platform that takes every purchase from request to paid.",
    "one_liner": "Making procurement easy",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1722921255,
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    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/saldor",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/saldor",
    "x_url": "https://x.com/saldordotcom",
    "fb_url": null,
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    "github_url": "https://github.com/saldor-ai",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 1733940,
        "full_name": "Jacob Bland",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO at Saldor. Used to build GPU data centers at Crusoe and fintech at Square.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bland-jacob",
        "x_url": "https://x.com/jacobrileybland",
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      {
        "user_id": 1970367,
        "full_name": "Jack Cameron",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO at Saldor. Previously at Crusoe Energy building storage solutions for Crusoe Cloud.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jackmcameron/",
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    "launches": [
      {
        "id": 104430,
        "title": "Saldor: Helping businesses buy goods and services, and close their books faster",
        "tagline": "AI-Native Procurement and Accounts Payable",
        "body": "### Hey everyone,\n\nWe’re [Jack Cameron](https://www.linkedin.com/in/jackmcameron/) and [Jacob Bland](https://linkedin.com/in/bland-jacob) at [Saldor](https://saldor.com/) .\n\n**TL;DR:** Saldor helps businesses buy goods and services, and close their books faster.\n\n**The Ask**: If you work in procurement or finance, or if you’re building a company with complex purchasing needs, email us at [team@saldor.com](mailto:team@saldor.com). We’d love to talk.\n\n**The Offer**: We’re offering customers a white-glove pilot with no implementation fee.\n\nAfter a brief onboarding call, we’ll do the work required to configure Saldor, connect your existing systems, and load real company data so your team can evaluate it in a live workflow for a short period at no cost.\n\n<https://youtu.be/szTFpL0NWpg>\n\n**The Problem**\n\nBuying something at a company is rarely as simple as placing an order.\n\nAn employee submits a request. Procurement checks vendors, pricing, security, and lead times. Finance reviews the budget. Legal may review a contract. Someone creates a purchase order, follows up with the vendor, tracks delivery, and eventually matches the invoice against what was ordered and received.\n\nMany companies still manage this through email and spreadsheets, or procurement systems that are expensive and cumbersome to operate.\n\nThe problem gets worse for companies building ambitious physical infrastructure. When data centers, factories, and robotics companies cannot get the right equipment on time, entire projects can be delayed.\n\nWe saw this firsthand at Crusoe, where we helped build GPU data centers. Existing procurement systems could cost hundreds of thousands of dollars to implement, required large teams to operate, and still slowed the business down.\n\n**Our solution**\n\nSaldor is an AI-native procurement and accounts payable tool.\n\nEmployees can request goods or services, and Saldor routes each request through the appropriate approval, security, legal, and finance workflows.\n\n![uploaded image](/media/?type=post&id=104430&key=user_uploads/1733940/50e219d2-f23a-4531-b6f6-1c4410b188d2)\n\nOur AI agent communicates directly with vendors to collect documents, follow up on quotes and delivery dates, and keep records updated automatically.\n\nSaldor can then generate purchase orders, track receipts, process invoices, and match bills against what was ordered and received.\n\nTeams can also interact with Saldor through MCP and connect it to their ERP, accounting system, or other internal tools.\n\n**The Team**\n\nJack and Jacob worked together as Crusoe building AI infrastructure before leaving to start Saldor. Jack (CTO) holds a B.S in Computer Science from Carnegie Mellon University. Jacob (CEO) holds a B.S in Electrical Engineering and Computer Science from UC Berkeley. \n\n![uploaded image](/media/?type=post&id=104430&key=user_uploads/1733940/15b63775-05a7-4be6-89dc-30fc96fcb553)\n\n",
        "url": "https://www.ycombinator.com/launches/RAM-saldor-helping-businesses-buy-goods-and-services-and-close-their-books-faster",
        "votes": 15,
        "created_at": "2026-07-01T17:01:59.082Z"
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    "name": "SureBright",
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    "former_names": [
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    "website": "https://surebright.com/",
    "all_locations": "New Delhi, DL, India",
    "long_description": "SureBright lets e-commerce merchants embed \"Apple Care” like product warranties into their checkout flows in less than 10 minutes. Our AI-powered warranty platform generates incremental revenue and boosts customer loyalty at zero cost to the merchant.\r\n\r\nSanket led engineering at PolicyBazar, an insurance tech company that IPOed and is valued at over $8B. Manish worked at Amazon and has built $100M ARR products, handling over 180B requests per day.\r\n\r\nUntil now, finding the right policy for any product and pricing it at the right price wasn’t possible at scale. We automated this process using LLM and have unlocked a $50B+ opportunity. Each month, over 5 million consumers view SureBright warranty offers.",
    "one_liner": "Apple Care-like warranty program for every retailer ",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1720298517,
    "tags": [
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    "isHiring": true,
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    "status": "Active",
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    "regions": [
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      "South Asia",
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/surebright",
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    "year_founded": 2022,
    "city": "New Delhi",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/surebright/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 456731,
        "full_name": "Manish Chauhan",
        "title": "Founder/CEO",
        "founder_bio": "Manish is the CEO and co-founder of SureBright. He holds an MBA from INSEAD (France) and an MMath (CS) from the University of Waterloo, where he researched and published on low-latency real-time systems.\n\nHe has previously worked at Amazon and startups like Applyboard, where he built products handling over 180 billion requests per day, contributing to $100M+ in ARR.",
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      {
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        "full_name": "Sanket Munjal",
        "title": "Founder",
        "founder_bio": "CTO & Co-Founder @ SureBright. Led Engineering at an InsurTech, PolicyBazaar.com that went public (8Bn USD). 2x Founder. Ex-Philips, Ex-Samsung",
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        "title": "Senior Product Manager",
        "url": "https://www.ycombinator.com/companies/surebright/jobs/mdSidh6-senior-product-manager",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN / DL, IN / Delhi, IN",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "₹2M - ₹5M INR",
        "equity_range": "0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 83656,
        "title": "SureBright: Offer your own Apple Care-like warranty program in 10 minutes!",
        "tagline": "We enable e-commerce merchants and companies to offer insurance products like product warranties and shipping insurance with zero time and resource investment.",
        "body": "**tl;dr: Embedding these insurance products generates additional revenue, protects customers, and boosts customer loyalty at zero cost. And it’s as easy as signing up for Facebook if you still remember that!** 😉 — [**_Talk to us._**](https://meetings.hubspot.com/manishchauhan/discussion-booking-extended-hours)\n\n_—_\\\n\\\nHello, everyone! We are Manish and Sanket (right to left), the team behind SureBright. We started our professional journey together with our first job at Samsung Research Institute 14 years ago. \\\n\\\n[**Manish**](https://www.linkedin.com/in/manishchauhan01/) **(CEO)**, a graduate of the University of Waterloo (MMath, CS) and INSEAD (MBA), has developed products for industry giants like Amazon and serves on the board of the InsurTech Association. [**Sanket**](https://www.linkedin.com/in/sanketmunjal/) **(CTO)** has led engineering departments at insurtechs such as Policy Bazaar, which has become a household name in India. Together, we bring 25 years of combined experience in insurtechs, startups, major tech companies, and business.\n\n![uploaded image](/media/?type=post&id=83656&key=user_uploads/456731/48122b44-2e46-4967-8d6f-81c645ca259d)\n\nWarranty and insurance distribution in e-commerce has seen minimal change, with the industry evolving slowly. At Surebright, we're on a mission to revolutionize this by leveraging the latest advancements in generative AI. Our platform enables US and Canadian merchants to seamlessly integrate Apple Care-like warranty programs for any eligible product, from ovens to bikes. We achieve this with nearly zero onboarding and operating costs, allowing merchants to offer these warranties in just minutes across any sales channel.\n\n![uploaded image](/media/?type=post&id=83656&key=user_uploads/456731/62878cfc-f33a-4731-82c6-022f2614970f)\n\n### **What is the problem? ❌**\n\nThe cost of offering product warranties is exponentially high for merchants and insurers. As it follows,\n\n1. **Resource-Intensive Integration:** Merchants must create a file transfer-based system to integrate with insurers. Additionally, they need to develop internal tools to apply the correct warranty plans to products, build custom UIs, and manage data collection, sharing, and tracking to meet both insurer and regulatory requirements. This entire process can take **six months to a year to go live**.\n2. **Recurring Additional Work:** Maintaining integrations and tools requires dedicated engineering teams. Running the warranty program also requires dedicated time from the operation team. This usually requires **additional hiring**.\n\nBelow is what the current merchant landscape looks like,\n\n![uploaded image](/media/?type=post&id=83656&key=user_uploads/456731/0e70aa2b-9c2e-41d7-bc6d-6b292f383590)\n\n### **How is SureBright Solving these problems? 🎉**\n\nSureBright’s **warranty program runs on auto-pilot**, empowering merchants of all sizes and providing the following key benefits:\n\n1. **99% less onboarding time, no onboarding or operating costs**, and no recurring tasks or hiring required. Our end-to-end automated solution ensures you never worry about the warranty program.\n2. **Cover any product** under warranty and offer other insurance products, such as Shipping Insurance, without lifting a finger.\n3. **Enjoy the highest warranty conversions** in the industry, averaging around 20.2%.\n\n**With these benefits, we help merchants boost their bottom line** by up to 12% through warranty margin share. Offering warranties also increases customer trust in the brand, leading to 15.6% more conversions and a 14% increase in Average Order Value. In addition, customers get a better post-purchase experience, resulting in more repeat customers and fewer negative reviews.\n\n### **The “aha” moment? 🎯🧠🧨**\n\nWe began our journey to help smaller merchants (<$100M in sales) offer warranties. But, within 3-4 months of going live, we began attracting interest from larger merchants. **The “aha” moment came when Insurance companies started utilizing our platform for their customers.** This was a pivotal moment, leading us to develop SureBright as the Stripe for embedded e-commerce insurance products.\n\nToday, our customers include a diverse range of merchants and marketplaces with $0.5M to $1B in sales, insurance companies, tech firms involved in consumer product purchase journeys (such as Buy Now Pay Later), warranty management companies, and other insurtechs.\n\nYou can explore our consumer journey with partners such as [**Blackstone**](https://blackstoneproducts.com/products/blackstone-pizza-oven)**, **[**Magnum Bikes**](https://magnumbikes.com/products/magnum-pathfinder-t)**, **[**WalkingPad**](https://www.walkingpad.com/products/walkingpad-c2-foldable-walking-machine)**, and Street Cred Capital (BNPL).**\n\n### **How can you help? 🙏**\n\nIf you know any merchant, marketplace, or company participating in the consumer purchase journey, such as Buy Now Pay Later and Checkout Management Companies, please make the introduction. We and they will both be very thankful! Email: [manish@surebright.com](mailto:manish@surebright.com) or [**_BOOK A CALL DIRECTLY WITH US._**](https://meetings.hubspot.com/manishchauhan/discussion-booking-extended-hours)",
        "url": "https://www.ycombinator.com/launches/LlI-surebright-offer-your-own-apple-care-like-warranty-program-in-10-minutes",
        "votes": 19,
        "created_at": "2024-09-01T21:55:28.371Z"
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    "name": "Diode Computers, Inc.",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Diode automates circuit board design. We work with hardware companies to get them the PCBs they need, fast.",
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    "team_size": 10,
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "year_founded": 2024,
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    "linkedin_url": "https://www.linkedin.com/company/diode-inc/",
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        "full_name": "Davide Asnaghi",
        "title": "Founder/CEO",
        "founder_bio": "I make circuit boards",
        "is_active": true,
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        "full_name": "Lenny Khazan",
        "title": "Founder/CTO",
        "founder_bio": "Lenny is the Co-Founder and CTO @ Diode Computers, Inc.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lennykhazan",
        "x_url": "https://twitter.com/LennyKhazan",
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      {
        "id": 76882,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/diode-computers-inc/jobs/V8LqvBH-senior-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $240K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "Rust",
          "TypeScript"
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        "id": 84722,
        "title": "Staff Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/diode-computers-inc/jobs/UAUsCJS-staff-electrical-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$140K - $200K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "Rust",
          "Altium",
          "OrCAD"
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    "news": [
      {
        "title": "Making Claude a better electrical engineer | Claude",
        "url": "https://claude.com/blog/making-claude-a-better-electrical-engineer",
        "date": "Dec 11, 2025"
      },
      {
        "title": "How Diode Is 10x-ing Hardware Design",
        "url": "https://www.youtube.com/watch?v=ryHJuYzUejs",
        "date": "Jul 23, 2025"
      },
      {
        "title": "AI-Powered Circuit Board Design Startup Diode Lands $11.4 Million Series a - Business Insider",
        "url": "https://www.businessinsider.com/ai-circuit-board-diode-a16z-series-a-y-combinator-2025-7",
        "date": "Jul 22, 2025"
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    "launches": [
      {
        "id": 83244,
        "title": "Diode Computers, Inc. — Circuit boards as a service",
        "tagline": "Diode automates the circuit board design and ordering process for engineers.",
        "body": "Ciao Y Combinator! We’re [Davide](https://x.com/davideasnaghi) and [Lenny](https://www.linkedin.com/in/lennykhazan/) from [Diode Computers, Inc.](https://diode.computer/)\n\n**TL;DR: Diode is an end-to-end platform for circuit board design. With the help of AI, we can finish a months-long design project in days, and then ship working boards straight to your door.**\n\n**Try out our designer at **[**https://pcb.new/**](https://pcb.new/)**, or shop generated boards at **[**https://pcb.store/**](https://pcb.store/)**.**\n\n<https://www.youtube.com/watch?v=aOoG2gl8wdY>\n\n# Problem\n\nDesigning printed circuit boards (PCBs) is really hard. Existing tools provide little opportunity for design reuse, so most projects are started from scratch. Since there’s no good way to test your design, your best bet is to just order them and hope for the best.\n\nThought you were done? Nope — ordering PCBs is a pain too. Now you need to source the components, ship them across the globe to your manufacturer, and constantly be on the lookout for part shortages and replacements. It’s a full-time job.\n\n# Solution\n\nDiode solves this by owning the entire PCB design process end-to-end. It starts with a core of composable, reusable modules that users can stitch together to build their boards. When new use cases come up, our AI generator creates new modules in seconds instead of days. And with rigorously-tested modules instead of de novo designs, we can be confident that each board works first try.\n\n![uploaded image](/media/?type=post&id=83244&key=user_uploads/79914/00e25ff4-abe8-49d4-94c3-e74a925eb0a3)\n\nWe then take the user’s design and automatically translate it into manufacturing requirements to send to the factory. We stockpile all of the necessary components to remove the burden of supply chain management from users and amortize the cost of parts across all designs.\n\nThe result is an all-in-one platform for hardware design: describe what you need and get working boards delivered to your door.\n\n# Why\n\nIn a past life, we designed hardware at companies like Apple, and we encountered a problem: PCBs never worked on the first try. At best, they required micro-soldering surgery under a microscope and, at worst, a whole new board. These issues were driving us mad, so we started a company to fix it.\n\nWe want to make hardware design work more like software. Fast iteration cycles, reusable components with clean composition, and one-click ordering to build your products fast and cheap. Our vision is to turn PCB design into a software problem.\n\n**P.S.** Want a customized NFC business card with your logo? Get your own: <https://pcb.store/products/nfc-business-card>\n\n![NFC Business Card (x10)](https://pcb.store/cdn/shop/files/back.png?v=1724092003&width=1445)\n\n",
        "url": "https://www.ycombinator.com/launches/Lee-diode-computers-inc-circuit-boards-as-a-service",
        "votes": 83,
        "created_at": "2024-08-20T20:15:39.588Z"
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    "id": 29853,
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    "all_locations": "New York City, NY, USA",
    "long_description": "No Logo is building the orchestration layer for creating viral consumer products. The manufacturing world is full of capable, underutilized overseas factories with the machines, tooling, and engineers to build winning products – but no way to connect them to the creators and brands with the ideas and distribution. As a result, bringing a new product to market has traditionally taken 6-12 months, tens of thousands of dollars, and a team of 20-30 people.\r\n\r\nNo Logo collapses that. Using generative AI, we take a creator's product idea, visualize it, break it into core components and manufacturing processes, and match each step to the right factory in our network – turning an idea into a shippable product in just a few weeks.",
    "one_liner": "Turn ideas into physical products",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1720474111,
    "tags": [
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      "Supply Chain",
      "AI"
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    "batch": "Summer 2024",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/no-logo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/no-logo.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/useterra",
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      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 1864416,
        "full_name": "Lev Glushkovskii",
        "title": "Founder/CEO",
        "founder_bio": "Previously co-founded SabersPro and bootstrapped the company from 0 to $10M+ in sales in 2.5 years, where he restructured the supply chain with factories increasing margins by 15% saving ~1M in profits. Dropped out from the Business, Technology, and Entrepreneurship program (BTE) at NYU Stern.",
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        "full_name": "Dylan McFarland",
        "title": "Founder/CTO",
        "founder_bio": "In high school bootstrapped a furniture startup and in under a year went from selling on Craigslist to running a 40-person factory in Shenzhen. Took those insights and dropped out of NYU Stern BTE to run No Logo, a platform that streamlines supply chain creation for growing companies. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dylan-mcfarland/",
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        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/no-logo/jobs/7OzjhOe-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $170K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 96324,
        "title": "Founding Growth Lead, Paid Media",
        "url": "https://www.ycombinator.com/companies/no-logo/jobs/HL4hboz-founding-growth-lead-paid-media",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $160K",
        "equity_range": "0.05% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 103396,
        "title": "No Logo: Turn any idea into a real, manufactured product",
        "tagline": "Building the orchestration layer for physical product creation",
        "body": "The last twenty years have made starting a business seamless. Shopify solved the store. Stripe solved payments. TikTok solved distribution. Manufacturing is the one piece that never moved. Launching a single new product still takes 6 to 12 months, tens of thousands of dollars upfront, and a team of specialists. Most great product ideas die before they become something you can hold.\n\nWe are building the orchestration layer for physical product creation, bridging the gap between customer demand and manufacturing supply.\n\nIt works like this. You describe an idea. Our AI visualizes it with you, breaks it into components and manufacturing processes, and matches each step to the right factory in our network. We run production, QC, and fulfillment, going from idea to a growing brand in about a month with no upfront costs.\n\nWe are not putting logos on mugs. We create entirely new consumer products: a digital camera that clips onto a purse, a lava-lamp humidifier, a painting that glows like the sun. We are starting with creators whose audiences have already validated demand; production happens only after demand exists, not before.\n\nSo far we’ve launched hundreds of products, shipped tens of thousands of items, and reached creator audiences totaling more than 90M people. Every product we create makes the network faster and smarter for the next one.\n\nHave a product idea your audience keeps asking for? We'll make it real. [nologo.com](http://nologo.com)\n\n![uploaded image](/media/?type=post&id=103396&key=user_uploads/1864416/00357a42-8390-424d-88fd-cf378c0395fe)\n\n",
        "url": "https://www.ycombinator.com/launches/Qtg-no-logo-turn-any-idea-into-a-real-manufactured-product",
        "votes": 6,
        "created_at": "2026-06-17T22:59:32.498Z"
      },
      {
        "id": 83615,
        "title": "Terra 🌎: Instant supply chain creation",
        "tagline": "Enter Terra, a new world of procurement.",
        "body": "# **TL;DR -**\n\nUse [Terra](http://useterra.com) as an all-in-one platform to seamlessly **develop, manufacture, and ship your products**. Discover pre-vetted suppliers and instantly create modular supply chains, all while having access to wholesale pricing regardless of order quantity.\n\n—\n\n# **The Team**\n\nHello all! We’re [Dylan](https://www.linkedin.com/in/dylan-mcfarland/) and [Lev](https://www.linkedin.com/in/lev-glushkovskii/) from Terra, and we’re _really_ passionate about making custom manufacturing accessible to everyone.\n\n![uploaded image](/media/?type=post&id=83615&key=user_uploads/1859401/1b3de9c2-aefa-40aa-aeeb-7243b3bec363)\n\n# **🚨 The Problem 🚨**\n\nWe’ve been working with suppliers globally since we were freshmen in high school. If you can think of a costly manufacturing or shipping mistake, we’ve likely already made it a dozen times over. But through our experiences building supply chains, we’ve routinely run into the same issues: \n\n⚙️ Way too many moving parts \n\n⚠️ The best factories have high minimum order requirements \n\n👎 Current software is either too rudimentary or ridiculously complex\n\n# **✅ The Solution ✅**\n\n* Forget spending weeks juggling multiple supplier group chats, spreadsheets of shipping quotes, and financial docs. Terra automatically matches you with the right partners through a single dashboard, allowing you to launch products in minutes.\n* We aggregate demand based on similarity, ensuring you’ll get access to the best pricing and factories regardless of order size.\n*  Our platform is completely modular. Build a supply chain entirely from our pre-vetted partners, onboard your existing suppliers, or use a combination of both. No constrictions, only flexibility.\n\n![uploaded image](/media/?type=post&id=83615&key=user_uploads/1859401/38054f53-5593-4f5e-8f1e-0e80ff948676)\n\n# **🤝 Our Ask 🤝**\n\nAre you or anyone in your network looking to launch/scale/streamline manufacturing processes? If so, hit us at [founders@useterra.com](mailto:founders@useterra.com), we’d love to get in touch.\n\nCurrently looking specifically for anyone selling/manufacturing furniture or home goods! ",
        "url": "https://www.ycombinator.com/launches/Lkd-terra-instant-supply-chain-creation",
        "votes": 110,
        "created_at": "2024-08-30T04:18:41.909Z"
      }
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    "id": 29950,
    "name": "Pipeshift",
    "slug": "pipeshift",
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    "website": "https://pipeshift.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pipeshift offers ultra-low latency infrastructure for engineering teams to run real-time inference in production. We offer latency-optimized runtimes for voice, chat, and physical AI, paired with distributed orchestration that routes and auto-scales across clusters and regions — typically 3 to 5X lower time-to-first-audio, so teams serve 2x the users on the same hardware.",
    "one_liner": "Inference for real-time voice and chat",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1717199794,
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    "country": "US",
    "linkedin_url": "https://linkedin.com/company/pipeshift",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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        "user_id": 951072,
        "full_name": "Arko C",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Pipeshift.\nBuilding inference for real-time voice and chat.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arkoc",
        "x_url": "https://x.com/arkobuilds",
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      {
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        "full_name": "Enrique Ferrao",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Pipeshift. Focused on squeezing out max LLM performance from GPUs",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/enrique-ferrao",
        "x_url": "https://x.com/FerraoEnrique",
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      {
        "user_id": 960170,
        "full_name": "Pranav Reddy",
        "title": "Founder/CIO",
        "founder_bio": "CIO @ Pipeshift. Making LLMs go brrrr at Pipeshift",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pranavreddyg",
        "x_url": "https://x.com/pranavreddyg",
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    "jobs": [],
    "news": [
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        "title": "Democratising Access To Open-Source GenAI With Pipeshift",
        "url": "https://www.forbes.com/sites/davidprosser/2025/01/23/democratising-access-to-open-source-genai-with-pipeshift/",
        "date": "Jan 23, 2025"
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    "launches": [
      {
        "id": 83260,
        "title": "Pipeshift AI - Fine-tuning and inference for open-source LLMs",
        "tagline": "Replace GPT/Claude in production with specialized LLMs that are fine-tuned on your context, offering higher accuracy, lower latencies and model ownership.",
        "body": "**_TL;DR:_** Pipeshift is the cloud platform for finetuning and inferencing open-source LLMs, helping teams get to production with their LLMs faster than ever. With Pipeshift, companies making >1000 calls/day on frontier LLMs can use their data and logs to replace GPT/Claude with specialized LLMs that offer higher accuracy, lower latencies, and model ownership. [_Connect with us._](https://cal.com/arkoc/pipeshift)\n\n![uploaded image](/media/?type=post&id=83260&key=user_uploads/951072/55b3d2ab-6279-4002-9bc7-2e7527c8578b)\n\n# **🧨 The Problem: Building with Open-source LLMs is hard!**\n\nThe open-source AI stack is missing, forcing most teams to experiment by **duct-taping things like TGI/vLLM but having nothing ready for production.** As you scale, it requires expensive ML talent, long build cycles, and constant optimizations.\n\nThe **gap between open-source and closed-source models is shrinking** (Meta's Llama 3.1 405B is a testament to that)! And open-source LLMs offer multiple benefits over their closed-source counterparts:\n\n🔏 Model ownership and IP control\\\n🎯 Verticalization and customizability\\\n🏎️ Improved inference speeds and latency\\\n💰 Reduction of API costs at scale\n\n# **🎉 The Solution: Heroku/Vercel for Open-source LLMs**\n\nPipeshift is the **cloud platform for fine-tuning and inferencing open-source LLMs**, helping developers get to production with their LLMs faster than ever.\n\n**🎯 Fine-tune Specialized LLMs**\\\nRun multiple LoRA-based fine-tuning jobs to build specialized LLMs.\n\n**⚡️ Serverless APIs of Base and Fine-tuned LLMs**\\\nRun inference for your fine-tuned LLMs and pay as per your token usage.\n\n**🏎️ Dedicated Instances for High Speed and Low Latency**\\\nUse our optimised inference stack to get max throughputs and utilisation on GPUs.\n\n[Product Demo: https://youtu.be/z8z5ILyXxCI](https://youtu.be/z8z5ILyXxCI)\n\n_Our inference stack is one of the best globally, hitting **150+ tokens/sec on 70B parameter LLMs** without any model quantization. And, since our private beta access was opened (<2 weeks back), we have already seen **25+ LLMs being fine-tuned with over 1.8B tokens in training data** across 15+ companies._\n\n![uploaded image](/media/?type=post&id=83260&key=user_uploads/951072/b91ba4bb-dca1-4567-8a0c-cf637e03b561)\n\n# **👋 Ask: How you can help**\n\nIf you’re building an AI co-pilot/agent/SaaS product and **are looking to move to open-source LLMs** or know someone who’s looking to do that same, then [book a call](https://cal.com/arkoc/pipeshift) or mail us at [_founders@pipeshift.ai_](mailto:founders@pipeshift.ai) - whichever you’d like!",
        "url": "https://www.ycombinator.com/launches/Leu-pipeshift-ai-fine-tuning-and-inference-for-open-source-llms",
        "votes": 703,
        "created_at": "2024-08-21T01:29:39.204Z"
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    "id": 29952,
    "name": "Ficra",
    "slug": "ficra",
    "former_names": [
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      "Ficra (SignOp)"
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    "website": "https://ficra.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ficra automates workflows for SMBs and Mid-sized businesses and firms.",
    "one_liner": "Automating workflows.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1725388449,
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    "batch": "Summer 2024",
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      "America / Canada"
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    "country": "US",
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        "user_id": 1011051,
        "full_name": "Omar El-Sadany",
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        "founder_bio": "Co-founder Ficra; 3x founder; designer.",
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        "title": "Ficra: A visual map of every ad, email, flow, and screen your users see",
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        "body": "**tldr:** Ficra is a real-time, visual map of your users’ journeys, both inside and outside your product. Our AI automatically gives you real-time visibility into marketing and product funnels, including every ad, email, A/B test, push notification, and in-app flow your users see.\n\n[Get access now](https://ficra.ai/)— we'll get you up and running fast.\n\n# \n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1011051/a04d03c5-f67b-46e9-898e-5086b65aaace)\n\n# **It’s damn near impossible for companies to track everything their users interact with**\n\nYour company has a lot of online content— your website, marketing emails, Facebook ads, social media posts, and the product itself (which varies based on different A/B tests, geographies, languages, accessibility settings, and platforms). It’s tough to keep track of all the ways users interact with your company, and that’s a big problem for:\n\n* Marketing teams who struggle to understand and optimize their conversion funnels or manage brand consistency when everything is in disparate systems.\n* Compliance teams who need to ensure that customers see required disclosures and consents; otherwise, they risk massive fines for their company.\n* Product teams that can’t effectively develop a roadmap or new features without manually going through their app and taking screenshots of what is live in production.\n\n# **Meet Ficra**\n\nFicra’s AI helps teams see and manage every part of the user experience, both inside and outside of the product. From ads to notifications to product screens, Ficra gives you a clear and updated view of everything your users encounter, all in one place.\n\n# **What customers love about Ficra:**\n\nThe product flows, AB tests, ads, emails, and notifications your users see in one place:\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1946590/7068eb43-1091-45c2-a510-f4a19b419bb2)\n\nA complete historical record for compliance, branding, and design audits (can even be shared with banking partners) too.\n\nVisual and text-based search to find the touchpoint(s) you’re looking for:\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1946590/57e8dfc5-255b-4a0c-8bd4-0db962c8ae13)\n\nSet monitoring rules to flag compliance violations, outdated copy, or broken UI:\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1011051/61e5935b-c753-445b-8e9e-7725c0f2c040)\n\n# **The Team**\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1011051/a1390f51-d9fa-4ae2-a253-e695b5eb8e39)\n\nHi everyone! We’re [Mo](https://www.linkedin.com/in/mohammed-abid-40777b16/) and [Omar](https://www.linkedin.com/in/omar-el-sadany/), childhood friends for over 25 years who are building our third company together. We’re experienced engineering and product leaders who have founded and exited companies that have scaled to millions in users and ARR. We’ve worked at places like Apple and Meta (4 patents between us), and both have degrees from Stanford and Carnegie Mellon.\n\nWe’re building Ficra because we wanted this tool at our previous companies.\n\n# **Asks**\n\n1. [Get started with Ficra now!](https://ficra.ai/) We’ll have you up and running quickly with minimal effort on your part.\n2. Our early customers have been compliance and marketing teams that need full visibility on their entire user journey. If you know anyone who could benefit, please share Ficra with them!\n\nContact: [founders@ficra.ai](mailto:founders@ficra.ai) | Website: <https://ficra.ai/> | Calendar: [Book Time](https://calendly.com/omar-ficra/30min)",
        "url": "https://www.ycombinator.com/launches/Lmx-ficra-a-visual-map-of-every-ad-email-flow-and-screen-your-users-see",
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        "created_at": "2024-09-04T19:27:47.685Z"
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    "name": "Hey Revia",
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    "website": "https://heyrevia.ai",
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    "long_description": "Hey Revia is a voice AI that handles complex phone calls for healthcare providers. Our software automates complex menus, reduces hold times, and handles tedious phone calls—verifying provider details, updating insurance info, and securing approvals. We offer Revia as web app, mobile app and API.",
    "one_liner": "Voice AI to automate complex phone calls for healthcare providers",
    "team_size": 4,
    "industry": "B2B",
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        "full_name": "Shaun Wei",
        "title": "Founder/CEO",
        "founder_bio": "Building voice AI assistant for phone call. \nEx-googler worked on Google Assistant. Previously worked on self-driving car in Pony.ai\n",
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        "full_name": "David (Wenbo) Zhu",
        "title": "Founder",
        "founder_bio": "Building a voice AI assistant for phone call.\nPreviously at Google, Brex.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-w-zhu/",
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        "title": "Hey Revia - AI call assistant for healthcare providers",
        "tagline": "Voice AI to automate complex phone calls for healthcare providers.",
        "body": "# ❌ **The Problem**\n\nHealthcare providers waste countless hours navigating insurance, pharmacies, and PBMs. Whether it’s credentialing, waiting for prior authorizations, or handling billing disputes, the process steals valuable time that could be spent on patient care.\n\n# ✨ **Our Solution**\n\nImagine an assistant that never gets tired of being on hold. Revia does just that—an AI-powered call assistant tackling the most complex healthcare communications. With its natural language processing, Revia handles the toughest tasks: navigating IVRs, managing call scenarios, and getting things done. From coordinating with insurance for prior authorizations to following up with pharmacies, Revia simplifies the workflow, giving your team time to focus on what truly matters—patients.\n\nRevia doesn’t just save time—it transforms how you interact with the backend of healthcare.\n\n# 🎤 **Here are some ways you can use Revia**:\n\n<https://youtu.be/evyXgLBaphQ>\n\n**⭐ See Revia in action 👆**\n\n* Credentialing verification\n* Prior authorization follow-ups\n* Billing and payment disputes\n* Coordinating referrals\n* And many more\n\n# 🔒 **Data Privacy and Security**\n\nAt Revia, we take data privacy seriously. Our AI agents adhere strictly to HIPAA compliance, providing full transparency and rigorous protection for your sensitive information. We’ve implemented robust security protocols to ensure the utmost privacy and integrity in every interaction.\n\n# **🚀 Asks**\n\n* **Try Revia**: Schedule a demo at [heyrevia.ai](http://heyrevia.ai/)—whether you’re in health tech, a provider, or a payor, we’d love your feedback!\n* If you are interested in what we are building and want to collaborate, let’s hop on a call via <https://calendly.com/shaunagi/30min>\n\n# 👉 **Follow Us**\n\n* Follow us on [Web](https://heyrevia.ai/), [Twitter/X](https://twitter.com/heyrevia), [Linkedin](https://linkedin.com/company/heyrevia), or contact us at [founders@heyrevia.ai](mailto:founders@heyrevia.ai)\n\n![uploaded image](/media/?type=post&id=83845&key=user_uploads/1521080/ba8dc95e-0c84-44df-b48b-d3450b814220)\n\nHey! [Shaun](https://twitter.com/agishaun) and [David](https://www.linkedin.com/in/david-w-zhu/) here. We are both ex-googlers / AI engineers and dads.\n\nAfter hearing our daughters’ pediatric clinic spent hours on calls with insurance companies and pharmacies, we knew we needed a better solution. That’s why we are building Revia—to free healthcare providers from the stress of administrative calls and allow them to focus on what really matters: caring for patients like my daughter.\n\nP.S. Back in 2018, when Sundar Pichai demoed AI making a hairdresser appointment, we were behind the scenes at Google Assistant. Today, I’m bringing that same technology to healthcare—one call at a time.",
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        "votes": 104,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Anglera, we're developing a suite of AI agents to help e-commerce companies run their operations more efficiently. Our flagship agent helps our customers onboard, enrich, and manage their product data, reducing time per product from 15 mins down to 5 seconds.\r\n\r\nWe previously developed ML to automatically enrich millions of products at Uber Eats, and we're now on a mission to automate the most common manual workflows for every e-commerce business.",
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    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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        "full_name": "Amay Aggarwal",
        "title": "Founder/CEO",
        "founder_bio": "Amay is the Co-Founder of Anglera. \nHe graduated from Stanford with Bachelor's & Master's degrees, specializing in AI/ML.\nPreviously, he led Catalog AI efforts to onboard, enrich, & standardize millions of products sold on Uber Eats.",
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      {
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        "full_name": "Ray Iyer",
        "title": "Founder/CTO",
        "founder_bio": "Ray is the Co-Founder of Anglera. He graduated from Stanford with a BS and MS in Computer Science, specializing in Systems & AI. Previously, he launched the first CPG Ads products at Uber Eats, and worked in engineering roles at Meta, Verkada, & Microsoft.",
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        "url": "https://www.ycombinator.com/companies/anglera/jobs/zm2yMzn-forward-deployed-engineer",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$125K - $160K",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 96228,
        "title": "Growth Lead",
        "url": "https://www.ycombinator.com/companies/anglera/jobs/0EcFRvd-growth-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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      {
        "id": 91364,
        "title": "Anglera: AI Product Data Enrichment",
        "tagline": "We're building the product data infrastructure for the future of AI-driven commerce",
        "body": "**TLDR:** Anglera is the foundational AI layer that transforms messy product data into structured, searchable, enriched content at scale.\n\n🎥 **See our AI agents in action**: https://youtu.be/zlLaT-Uv9Xs\n\n---\n\n### **🔥 The Problem**\n\nWhile everyone's building AI apps, there's a massive infrastructure gap underneath: **product data is broken at scale.**\n\n* **Poor Discoverability** - 20% of searches return zero results due to missing/inconsistent information\n* **Low Conversion** - Data errors cause 23% loss in impressions and 14% drop in conversions\n* **Slow Time-to-Market -** Weeks of delays getting new products live due to manual data entry\n\n**Result:** Billions in lost revenue from broken infrastructure.\n\nThe tech stack looks like this today:\n\n```\nBeautiful frontend shopping UI/UX\n↓\nIntelligent search & discovery algorithms\n↓\nMessy, unstructured product data ← ✨ We fix this\n```\n\n### **🧠 Our Approach**\n\nWe've built AI agents that automatically transform any product data source into clean, structured, enriched content:\n\n* **Input:** Messy spreadsheets, PDFs, images, brand websites, supplier feeds \n* **Output**: Complete, enriched product catalogs, continuously optimized for AI discoverability\n* **Scale:** Process thousands of SKUs in seconds, not weeks.\n\n---\n\n### **🎯 Why Now?**\n\nTwo massive shifts are happening simultaneously:\n\n1. **AI Search Explosion:** ChatGPT, Perplexity, and others are becoming primary product discovery channels\n2. **Agentic Commerce:** AI agents are starting to make purchases autonomously\n\n---\n\n### **🤝 The Founding Story**\n\n![uploaded image](/media/?type=post&id=91364&key=user_uploads/1164027/c4bc63d9-8268-43bc-8c95-118fbac2588b)\n\n**Amay** and **Ray** - Stanford AI grads who lived this pain at Uber Eats scale:\n\n* **Amay:** Led Catalog AI, enriching millions of SKUs\n* **Ray:** Led CPG Ads, scaling product-driven ad campaigns\n\nNow we're bringing that same level of sophistication to every retailer.\n\n---\n\n### **🔮 The Vision**\n\nImagine a world where:\n\n* Every product is instantly discoverable by AI agents\n* Product information flows seamlessly between systems\n* New products go to market in hours, not months\n\n---\n\n### **🙏 Our Ask**\n\nWe're looking for connections to:\n\n* **Technical leaders** at retailers/marketplaces dealing with product information challenges\n* **AI shopping, search, or marketplace founders** who might benefit from what we're building\n\n\\- Amay, Ray & the Anglera Team\n\nWebsite: [www.anglera.com](https://www.anglera.com)\n\nEmail: [founders@anglera.com](https://founders@anglera.com)",
        "url": "https://www.ycombinator.com/launches/Nlc-anglera-ai-product-data-enrichment",
        "votes": 13,
        "created_at": "2025-06-17T13:40:54.115Z"
      },
      {
        "id": 82584,
        "title": "🛍️ Anglera: The smartest way to manage e-commerce products",
        "tagline": "Turn complex product data into high-converting listings in seconds",
        "body": "**TLDR**: [Anglera](https://www.anglera.com) is an AI-powered platform designed to help e-commerce companies manage their product data. We empower brands, retailers, and marketplaces to effortlessly onboard, enrich, and list hundreds of product SKUs. This saves time and improves sales. Contact us to learn more: [amay@anglera.com](mailto:amay@anglera.com)\n\n### **👋 Who we are**\n\nHello! We’re [Amay](https://www.linkedin.com/in/amayaggarwal/) & [Ray](https://www.linkedin.com/in/\\~iyer), and we’re on a mission to redefine how e-commerce companies manage their product data.\n\n![uploaded image](/media/?type=post&id=82584&key=user_uploads/1164027/42a17226-77c0-4c1d-8fb9-cab72b34aaf6)\n\nWhether you’re a brand, retailer, or marketplace, we know that dealing with e-commerce products can be challenging. We faced this problem first-hand at Uber Eats, where we built tech to enhance millions of listings uploaded by our restaurant and retail partners.\n\n### **🔍 Problem**\n\nMost rapidly growing e-commerce companies spend several hours each week managing their products across sales channels. Teams drown in spreadsheets, manually adding descriptions, images, and attributes for hundreds of items. This time-consuming process diverts focus away from actually growing their core business.\n\n### **💡 Solution**\n\nWe’re tackling the $20B Product Information Management (PIM) industry by building the smartest platform for managing e-commerce product data.\n\n<https://youtu.be/D3jKEOzbD-s>\n\nAnglera empowers every e-commerce business with their own AI catalog ‘expert’ trained on thousands of top-converting product listings. We not only help our customers onboard new products faster, but also improve all of their listings to drive better sales.\n\n**Key Features:**\n\n* **✅ Faster Time-To-Market**: Instantly onboard products from any source (Website URL, Spreadsheet, PDF, etc.)\n* **​✅ Better Sales**: Automatically enrich descriptions, images, & attributes to drive conversion\n* **✅ Wider Reach**: Start selling on new channels with just one click (Shopify, Amazon, etc.)\n\nWe measure success for our customers with two simple metrics: 1) $ increase in sales, and 2) # of hours saved.\n\n### **🙏 Asks**\n\n1. **Let’s chat** if you're a brand/retailer/marketplace looking to improve how you manage your product listings. Happy to share data-driven learnings from years of experience working on this at Uber Eats.\n2. **Introduce us** to any e-commerce companies in your network. Whether it's a friend running their own brand or someone who works at a larger retailer or marketplace, we’d love to connect.\n\nContact: [amay@anglera.com](mailto:amay@anglera.com) | Website: [www.anglera.com](http://www.anglera.com) | Calendar: [Book Time](https://calendly.com/amay-anglera/15-min)",
        "url": "https://www.ycombinator.com/launches/LU0-anglera-the-smartest-way-to-manage-e-commerce-products",
        "votes": 45,
        "created_at": "2024-07-30T21:50:52.321Z"
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    "id": 29960,
    "name": "Void",
    "slug": "void",
    "former_names": [
      "Glass"
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    "website": "https://useglass.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Void is an open source code editor with features similar to Cursor and GitHub Copilot. Unlike other tools, Void lets developers keep their data completely private by connecting directly to any LLM.",
    "one_liner": "The open source Cursor alternative",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1726250392,
    "tags": [
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      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/void",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/void.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/voideditor",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "full_name": "Andrew Pareles",
        "title": "Founder/CEO",
        "founder_bio": "Former quantum computing. CS, Physics, Math at Cornell.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/andrew-pareles",
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        "full_name": "Mathew Pareles",
        "title": "Founder/CTO",
        "founder_bio": "Former materials science research. Physics and CS at Cornell. ",
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        "linkedin_url": "https://linkedin.com/in/mathew-pareles/",
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    "launches": [
      {
        "id": 84053,
        "title": "Void: The open source Cursor alternative",
        "tagline": "AI code editor with advanced AI features and privacy.",
        "body": "**_TL;DR:_** [Void](http://voideditor.com/) is the open source Cursor alternative. It offers the AI features of modern AI coding tools, while allowing you to host your own AI model locally and keep your data private. Check us out on [GitHub](http://github.com/voideditor/void)!\n\n![uploaded image](/media/?type=post&id=84053&key=user_uploads/1324771/56eae9a0-49fd-499f-b101-3e15e81914a9)\n\n# About us\n\nHi everyone, we’re [Mat](https://linkedin.com/in/mathew-pareles/) and [Andrew](https://linkedin.com/in/andrew-pareles), and we’re the team behind Void. Mat’s been prompting Transformers since before GPT3 became mainstream, and Andrew did quantum computing research at JHU APL. We’re best friends who have been programming together since we were 8. \n\n![uploaded image](/media/?type=post&id=84053&key=user_uploads/1324771/30b62998-29ed-447f-883b-f0875c3d1ffa)\n\n_left to right: Mat (CTO), Andrew (CEO)_\n\n# ❌ The problem: the leading AI IDE is closed source\n\nCursor is a closed-source AI editor, which means you need to send your private data through their API every time you use it. This leads to obvious privacy concerns. It’s also expensive for developers, and it means people don’t have many choices for a great AI coding experience.\n\nWe think the future of AI should be open. You should be able to use whatever model you like and not be locked into using a private company’s API.\n\n# ✅ The solution: open source\n\nThe solution: create an open-source alternative. This way, you can choose to self-host or communicate directly with any model you like, anywhere you like. \n\nThere are lots of benefits to open-sourcing besides privacy, too: on Void, you can access community-made AI features and gain full access to all your prompts.\n\n# Key features\n\nWe’re building a lot. Here are the features we’re most excited about:\n\n* **File system awareness:** Void can answer questions about your entire codebase. It builds an index of all your files and uses it automatically, so you don’t manually select relevant files.\n* **View and edit underlying prompts:** Void lets you open up the hood and view/edit every single prompt in your chat history. This is really important if you want to understand how the LLM got its answer, and it’s lacking in most closed-source tools.\n* **Fast edits across 1000s of lines:** Even if your file is thousands of lines long, Void applies changes almost instantly. We prompt the AI to make changes the way a human would instead of rewriting the whole file.\n\n![uploaded image](/media/?type=post&id=84053&key=user_uploads/1324771/48310318-059a-4844-8d75-a0c71e2a8385)\n\n* **Full privacy / data control:** All of Void’s prompt-building is done on your own computer. This means you can self-host your own model and have your data never leave your network. Or, you can connect directly to Claude, GPT, or Gemini, and not worry about sending your company data through a middle layer of communication.\n\nWe think the future of AI is open, and we’re excited about building it.\n\n# **🙏 Asks**\n\n* Check out the [**Void editor**](http://voideditor.com/) and star us on GitHub!\n* If you’re interested in helping us build, join our [Discord](https://discord.gg/PspNkKG5wt) or shoot us an email. We rely on contributions, even small ones, and we’ll help you get up and running as a contributor!\n* Please share this post! Help spread the word that we’re building an open source Cursor alternative.",
        "url": "https://www.ycombinator.com/launches/Lrh-void-the-open-source-cursor-alternative",
        "votes": 80,
        "created_at": "2024-09-16T16:23:29.559Z"
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    "id": 29963,
    "name": "Capitol AI",
    "slug": "capitol-ai",
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    "website": "https://www.capitol.ai/",
    "all_locations": "Washington, DC, USA",
    "long_description": "Capitol AI is building a sovereign operating system for intelligence, designed for regulated, high-stakes institutions such as professional services firms, financial services, and government agencies. These organizations are overwhelmed by data and experimenting with generic AI tools that lack auditability, repeatability, and secure deployment. As a result, critical decisions are increasingly shaped by systems they do not fully control.\r\n\r\nCapitol runs entirely inside enterprise infrastructure and transforms proprietary data into structured, decision-grade artifacts such as due diligence reports, regulatory documentation, and executive intelligence. The platform is model-agnostic, fully auditable, and operates with no data egress, giving institutions durable control over their data, workflows, and standards.",
    "one_liner": "Capitol: the sovereign operating system for intelligence.",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1724724761,
    "tags": [
      "AI-Enhanced Learning",
      "Workflow Automation",
      "Analytics",
      "Media",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
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    "regions": [
      "United States of America",
      "America / Canada",
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      "Partly Remote"
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        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Brian Chesky encouraged us to apply. He hired Shaun at Airbnb. We wish we had done it earlier, but in some ways, the timing of this couldn’t be better. Brian believes the position we are in is very similar to Airbnb's right before they joined YC. And even similar dynamics to when Justin Kan made the last-minute referral for Airbnb’s founders (Brian, Joe, and Nate) to join YC. Going through the batch has been an incredible experience. Garry, Ooshma, and Aaron are phenomenal partners to work with and boil down opportunities and challenges to overcome to their essence. We’ve made huge strides in the batch regarding product velocity and customer acquisition. We’ve signed a $1.3m customer term sheet with one of the most influential media brands during YC!  "
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        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Tom and I were collaborating on Covid-19 logistics applications leveraging AI models for HHS and the US DoD and the interfaces that prime USG integrators like IBM, SAP, and Deloitte produced were unusable. We saw an opportunity to develop integration and design standards for creating intelligent content leveraging models, and Capitol AI was born. We started the company with a contract from the 2nd largest health insurer in the US to automate data storytelling for their self-insured employer business line. We approached this problem with a mix of classical and bayesian statistical analysis and automating insight generation leveraging DBT. After GPT 3.5 was released we saw an opportunity to center our product stack around LLMs. We made a pivot away from healthcare and so that we could collect user data and feedback to move the product forward as quickly as possible. We now have built a product that is in high demand we just closed a $1.3m enterprise contract, with more to come. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "In the future, all content and data publishers will have an AI research layer. Capitol will be the category-defining product that unlocks this transformation, creating a more useful and personalized internet."
      }
    ],
    "url": "https://www.ycombinator.com/companies/capitol-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/capitol-ai.json",
    "year_founded": 2021,
    "city": "Washington",
    "country": "US",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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      {
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        "full_name": "Shaun Modi",
        "title": "Founder/CEO",
        "founder_bio": "Shaun Modi is the founder and CEO of Capitol AI, an infinitely smart research assistant that instantly generates high-quality content from your documents. One of the founding designers of Airbnb, Shaun has been named one of Business Insider’s Top 75 Designers in Technology. Shaun has designed software products for technology giants, the government, and its agencies, including Google, the White House, DoD, NASA, CDC, and Motorola. At Airbnb, Shaun worked side by side with CEO Brian Chesky. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shaunmodi/",
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      {
        "user_id": 2079920,
        "full_name": "thomas hallaran",
        "title": "Founder/CTO",
        "founder_bio": "Software engineer and technical manager with a product mindset. Two decades of experience, including IC and Director positions in academia, venture backed startups, and the US Federal Government.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tomhallaran/",
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    "launches": [
      {
        "id": 83810,
        "title": "Capitol AI - Create powerful content from data",
        "tagline": "Infinitely smart research assistant + document editor that generates content from your data.",
        "body": "Hey! We're Shaun and Tom from [Capitol AI](https://www.capitol.ai), and we’re thrilled to announce the launch of Capitol 2.0.\n\n# **TL;DR**\n\nAfter we got into YC, we asked ourselves: “What would Microsoft Word look like if it were built in the age of AI?” Our answer: A product that seamlessly combines deep research, generative images + text, and AI-assisted editing.\n\n[**This is Capitol 2.0**](https://www.capitol.ai)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcBHZ-cSYPZzPy48Nm-rz78AXUraAmaYG7sk-AXyR5-_p4cYGaj0-5uztAEO_pXY0r56gOz_hbUB-4-rhfcnbiBW5hV-31m9crYfEFGFfPmP-Zlcm7xFLJAdQgA0njg42wh1M8cPNv84VoBlZ4LmGBRoiN3?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n**The Business Problem**\n\nContent creation for business users is a slow, disjointed process involving multiple tools like search, proprietary databases, spreadsheets, slides, PDFs, and word processors. This complexity limits businesses with data-driven content creation workflows from scaling their content production and selling more products.\n\n# **Our Solution**\n\nCapitol simplifies content creation by integrating research and editing into one seamless experience—automating tasks to supercharge productivity.\n\nCapitol AI empowers enterprise customers with an API/SDK that automates the research and content creation process. It gives them the tools to personalize and scale their product offerings with less headcount.\n\n[**Watch the video**](https://www.youtube.com/watch?v=SFymrPfE-nk)\n\n# **B2B Customers**\n\n**Enterprise** \\\n[Politico](https://www.politico.com), the global authority on the intersection of politics, policy, and power has exclusively partnered with Capitol to empower all [Politico Pro](https://www.politicopro.com/) users with AI content creation for policy and regulatory analysis.\n\n**Startups & SMB**\\\nFor startups and small businesses with repeatable data-driven processes like Cloud GTM provider [Invisory](https://invisory.co/) and the innovative AI-powered grant platform [AI Grants](https://www.aigrants.app/), Capitol is automating the creation of **revenue-generating** business documents with our API-accessible artifact generation pipeline.\n\n![uploaded image](/media/?type=post&id=83810&key=user_uploads/23932/0950a826-5715-468c-b4f8-f00190aa1a77)\n\n# **Why Now?**\n\nIn a time when publishers are increasingly being courted by AI model builders for licensing deals, Capitol AI is arming the rebels—helping publishers compete for attention and grow their customer base by automating content generation from their high-value data. Capitol will be the category-defining product to unlock this transformation.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeIy5Y14hTVoYbNBzaWtye7QpqmqdiBdbKm2y2gR9eXkUoA3T5QxSunxXgkx5_xbhjBb1pvLJM8ob_XM73c0CHtCHUldMDuoFzZjctfWKOoyzJForUKh3CcS2kI8o1S3JG9TyVrGZsCgyDPF_1KpgZjniI?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n# \n\n# **Tech**\n\nCapitol includes a proprietary model orchestration, eval framework, chain of thought reasoning, and RAG pipelines that work together to enable our customers to generate and iterate on content in our product or via API.\n\n# **How Capitol Works** \n\nRewrite, reformat, & transform your content\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfnE4np5a5RdEIJQCWpT_4uN5J7iIdkrQ5lgeGgyDcZp0it1eAwRI7XKVti4Kzbm_bqn_JXf39BlJhRwEvxy7vbpHSaxWiCX1Oz8KpmZzmay4tz7DXc8U_Rj5RXioSH1JxZaFSFUG-eAMK_jt0qmrLjBVkx?key=lcBvgZFvISlTTsrwNwpBug)\n\n\nType ‘/’ anywhere to generate new content in-line\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXexmXK1RLuHucEMVk-ervnI0_dyyjJCU5JvPdpOPnnBl0gi0IYBBrsNZqz5A-5gqP42_ablQrRdWE9eqlLQMxYQRIrKoTG6ew8P464tXf_Ucs9WUfYHa-kBj-RItpCXa_w7Y2BdLpyt61eVKLVfBovnl3A?key=lcBvgZFvISlTTsrwNwpBug)\n\n\nGenerate new content with a single click \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeeLUmH9cppVSN5FGD9L1TfC8X5rDCgTyhx6hunL-s1wZLSq5kPzLWvvMkPCHrupc2z3efQfrO4wFzCq4Gqq1cJ9heMp1v9XXPeChbvN2bwMfZW2vLJT8E3weKkPwtov5b1nNUQ0A21qLfTTGIrOrUUvxoE?key=lcBvgZFvISlTTsrwNwpBug)\n\n### **🙏🏽 Our asks**\n\n# **1\\. Try Capitol**\n\nHead to [www.capitol.ai](http://www.capitol.ai) and try Capitol today. \\\nGet 3 months free with the special YC discount code **FOUNDERMODE**\n\n# **2\\. Integrate Capitol Into Your Product!**\n\nCapitol’s embedded content generation will transform your application’s user experience with real-time RAG and document creation from your data. By leveraging Capitol’s API/SDK, you can drive more engagement with your product and have more time with your users. Common use cases include:\n\n* Give your users the ability to create bespoke reports and insights, pulling forward hard-to-find data\n* Turn enterprise document search into a content generation flow\n* Transforming your knowledge base or help center into a more helpful experience for your customers\n* Let your users create social media content directly on your site\n\nContact us at [founders@capitol.ai](mailto:founders@capitol.ai)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcQrF-ciwjn96Unv9Js-UbJ4o1bJLuLzP_2Ihg1yGe45RIxjluJG0mzQ2j1tweHYGwRX8UOeOBC1HGmbmqnbi_KPK-38xKhxlpp6qeBisC54g56Tj3BArNJKgZbG8VnRRkK9loy__0DHmRR_D_Gf56pMPoD?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n# **Founders**\n\n* [Shaun Modi](https://www.linkedin.com/in/shaunmodi/), CEO. One of the first product designers hired at Airbnb. Worked side by side with CEO Brian Chesky crafting the user experience of Airbnb. Fmr Google, Fmr Nasa, named one of Business Insider's Top 75 Designers in Technology. BFA from RISD.\n* [Tom Hallaran](https://www.linkedin.com/in/tomhallaran/), CTO. Fmr Director US AI Center of Excellence, Fmr VP of engineering at acquired adtech startup Selectable Media, Initial technical lead and architect of the largest political payment app in US. Undergrad from Columbia.\n\n[X](https://x.com/usecapitol), [Linkedin](https://www.linkedin.com/company/capitolai/), [Instagram](https://www.instagram.com/capitol.ai/)",
        "url": "https://www.ycombinator.com/launches/Lnm-capitol-ai-create-powerful-content-from-data",
        "votes": 68,
        "created_at": "2024-09-06T04:52:46.055Z"
      }
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    "id": 29965,
    "name": "Formula Insight",
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    "website": "https://www.formulainsight.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Formula Insight offers Institutional Investors previously inaccessible data. We provide a central repository of financial models so investors can track changes to forecasts, quantify projection accuracy and expedite analysis.  This further systematizes the investment process and enables better investment decisions.",
    "one_liner": "Help Institutional Investors manage, track & query their Excel models",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1721802502,
    "tags": [
      "Fintech",
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      "Workflow Automation",
      "Enterprise Software"
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    "url": "https://www.ycombinator.com/companies/formula-insight",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/formula-insight.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/formula-insight/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 2084024,
        "full_name": "Will Tong",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Formula Insight.  Will brings a decade of financial expertise to the role.  He spent the past 4 years in public equities investing, most recently managing a healthcare equities portfolio at Citadel.  In 2022, Will distinguished himself as a top 5 equity analyst within Citadel's Global Equities division.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/will-tong-04046a162/",
        "x_url": "https://x.com/yingertong",
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      },
      {
        "user_id": 550721,
        "full_name": "Stefan Raghavan",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO at Formula Insight. Background in building complex engineering systems, specializing in rockets and drones, most recently at SpaceX and Zero Aviation.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stefan-raghavan-957204a1/",
        "x_url": "https://x.com/stefanraghavan",
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    "launches": [
      {
        "id": 85848,
        "title": "Formula Insight: An Equity Research Platform that Analyzes Complex Excel Models",
        "tagline": "Expedites research by providing analysis in minutes to help investors gain an edge in the public markets.",
        "body": "**tl;dr**\n\nAt Formula Insight, we’re launching our new equity research platform. It’s integrated with FactSet data and designed by a former Citadel investor and SpaceX engineer. Institutional investors use spreadsheets to manage billions of dollars for investments. However, key insights are lost when connecting the dots between complex Excel financial models with millions of cells and across hundreds of SEC filings, management transcripts, and research papers. \n\nFormula Insight expedites the research process by analyzing these critical documents in minutes to help investors gain an edge in the public markets.\n\n<https://youtu.be/yIUYmBQ9Jc0>\n\n**The Problem**\n\nFinancial models in Excel are the backbone of every investment thesis. Still, the workflow between financial model analysis and other key research documents has been separate. Critical details are missed when drawing inferences between Excel data and paper documents, and the work to build the fact pattern for investment decisions is inefficient.\n\n**The Solution**\n\nUsers can accurately search through millions of cells and build the fact pattern within internal financial Excel models, all down to granular KPIs for custom benchmarking. They can also plot financial projections against consensus estimates and draw inferences across hundreds of documents, including transcripts and filings. All answers have source document references and are housed within a secure environment, ensuring that sensitive information remains protected.\n\nSign up [here](https://fwotrcm808u.typeform.com/to/cYqIrmWn) to get access.",
        "url": "https://www.ycombinator.com/launches/MKe-formula-insight-an-equity-research-platform-that-analyzes-complex-excel-models",
        "votes": 11,
        "created_at": "2024-11-28T16:30:35.284Z"
      }
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  },
  {
    "id": 29966,
    "name": "Mica AI",
    "slug": "mica-ai",
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    "website": "https://usemica.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Today, as employees teach AI how to perform valuable company work, the resulting capabilities often remain trapped on individual laptops or scattered across chats and repositories. \r\n\r\nMica gives each company a managed, agent-native internal marketplace where employees can publish capabilities, discover them by describing the task they need help with, and install them through the AI tools they already use. Mica tracks ownership, requirements, permissions, and team customizations while letting employees contribute improvements back to the shared version for evaluation and approval.\r\n\r\nThe result: employees stop rebuilding workflows their coworkers have already solved, useful improvements spread across the organization without overwriting team-specific customizations, and security gains visibility without blocking bottom-up innovation. Mica turns scattered AI work into institutional knowledge that compounds.",
    "one_liner": "Turn employees' AI skills into shared company infrastructure",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1720831958,
    "tags": [
      "Marketplace",
      "B2B",
      "Infrastructure",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/mica-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/mica-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mica-ai",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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      {
        "user_id": 281665,
        "full_name": "Achyuta Iyengar",
        "title": "Founder/CEO",
        "founder_bio": "Achyuta is the co-founder and CEO of Mica AI.\n\nPrior to Mica, Achyuta worked as a Product Manager at Lob (YC S13) where he led the New Product Development, Address Verification, and Developer Experience teams. He has a BS in Business Administration from the Haas School of Business at UC Berkeley. \n",
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        "linkedin_url": "https://www.linkedin.com/in/achyuta-iyengar/",
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      {
        "user_id": 1626603,
        "full_name": "Bharadwaj Swaminathan",
        "title": "Founder/CTO",
        "founder_bio": "Bharadwaj is the founder and Head of Engineering at Mica AI. Previously, he worked as a Data Scientist at Hewlett Packard Enterprise, working on creating machine learning products in the networking space. He has a Bachelor's in Data Science and Economics from UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bharadwajswaminathan",
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    "launches": [
      {
        "id": 82748,
        "title": "Mica AI - AI Agents that Automate B2B Sales",
        "tagline": "Helping SaaS sales teams close more deals.",
        "body": "Hi everyone, we’re Achyuta, Jai, and Bharadwaj!\n\n**TLDR:**\n\n[**Mica**](https://usemica.com/) helps B2B sales teams close more deals by automating their entire sales follow-up process. Our AI agents analyze sales calls, generate tailored collateral, and follow up with prospects until the deal is closed.\n\n**The Problem:**\n\nThe best sales reps aren’t just great at selling—they are elite content creators. They crafted tailored collateral like decks, 1-pagers, and product demos to help champions advocate internally. However, creating this content often takes over 30 minutes per call, and with multiple calls a day, even the best reps can only prioritize a few clients, leaving others with subpar follow-ups and millions in lost deals.\n\n**Our Solution:**\n\nMica automates the sales follow-up process by generating deal-closing collateral in less than a minute. Our AI analyzes sales calls, extracts key insights, builds tailored collateral, and sends this to prospects in a centralized deal summary page.\n\n![uploaded image](/media/?type=post&id=82748&key=user_uploads/281665/a654eebe-5ef9-48ee-ab9d-ca41efc83bc4)\n\n**Key Benefits**\n\n1. **Quicker Follow-up Time:** Mica creates personalized follow ups in under 1 minute. This lets top performers do A+ work on every deal and helps the rest of the team sell like a top performer.\n2. **Faster Sales Cycles:** The point of contact can easily review important information from the call, share it internally, and make decisions faster.\n\n**How it Works**\n\n1. **Upload:** Mica automatically pulls in your sales call from existing recording or notetaking tools.\n2. **Extract Key Insights:** Mica identifies the key points the prospect was most interested in.\n3. **Generate Tailored Collateral:** Mica creates tailored decks, product demos, and 1-pagers for each key topic.\n4. **Share:** Mica generates a shareable link containing all the collateral, which can be sent directly to the prospect in follow-up emails that Mica also creates.\n\nHere’s a demo of Mica that we created from an actual Mica sales call:\n\n<https://www.youtube.com/watch?v=xIHwwnYKj5o>\n\n**Our Ask:** We’re looking to onboard customers who want to automate and improve their sales follow-ups.\n\nWe’re looking for:\n\n* Sales reps and heads of sales at B2B SaaS companies.\n* Founders who are doing founder-led sales.\n\nAnyone who is interested can book a demo [**here**](https://calendly.com/achyutaiyengar/mica-15-minute-demo).\n\n![uploaded image](/media/?type=post&id=82748&key=user_uploads/281665/307627c1-b261-47d7-b07a-b78ac54926be)\n\n",
        "url": "https://www.ycombinator.com/launches/LWe-mica-ai-ai-agents-that-automate-b2b-sales",
        "votes": 16,
        "created_at": "2024-08-05T20:19:18.712Z"
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    "id": 29967,
    "name": "Village Labs",
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    "website": "https://villagelabs.app/",
    "all_locations": "New York City, NY, USA",
    "long_description": "At Village Labs, we help America's businesses become employee owned by helping them set up and manage an employee stock ownership plan (ESOP). \r\n\r\nESOPs are a federal retirement plan that enable businesses to give their employees a stake in the company in exchange for significant tax benefits. \r\n\r\nWith 2.9M Baby Boomer business owners set to retire in the coming years, there's a growing \"Silver Tsunami\" of businesses across the country in search of new ownership. For many of these owners, selling to their employees is a socially-minded yet financially pragmatic solution.\r\n\r\nBy selling ownership of their business to an ESOP, owners get a fair price, tax benefits, and the satisfaction of knowing their employees and legacy will be taken care of — things not guaranteed with traditional buyers like private equity. In turn, employees retain their jobs and get shares in the business that can help them create life changing wealth by the time they retire — imagine an office secretary retiring as a millionaire. \r\n\r\nThousands of businesses across America like Bob's Red Mill, Harpoon Brewery, and Recology already have an ESOP, benefiting over 14 million workers and creating 2.1 trillion in employee wealth. We're excited about the opportunity to massively grow these numbers by making it simple for every business to become employee owned. \r\n",
    "one_liner": "Helping America's businesses become employee owned",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1725498040,
    "tags": [
      "Fintech",
      "Human Resources"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
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      "Human Resources"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/village-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/village-labs.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/village-labs-coops",
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      {
        "user_id": 534449,
        "full_name": "Roger Cawdette",
        "title": "Founder/CEO",
        "founder_bio": "I'm the co-founder & CEO at Village Labs where we're building software for ESOPs. Our hope is that by creating great products and technology for ESOPs, we’ll be able to expand employee ownership across America.\n\nBefore this, I co-founded Finary (YC W21) where we were building a social network for the stock market (before WallStreetBets went viral!). I studied Technological & Social Innovation at Harvard and left after my sophomore year to do YC.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rogercawdette",
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      },
      {
        "user_id": 954558,
        "full_name": "Turja Chowdhury",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO @ Village Labs",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tchowd",
        "x_url": "https://twitter.com/tchowd_",
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    "jobs": [],
    "news": [
      {
        "title": "13 companies from YC Demo Day 1 that are worth paying attention to | TechCrunch",
        "url": "https://techcrunch.com/2024/09/25/13-companies-from-yc-demo-day-1-that-are-worth-paying-attention-to/",
        "date": "Sep 25, 2024"
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    "launches": [
      {
        "id": 83814,
        "title": "Village Labs - We help America’s businesses become employee owned",
        "tagline": "We do this by helping businesses set up and manage an employee stock ownership plan, also known as, an ESOP.",
        "body": "![uploaded image](/media/?type=post&id=83814&key=user_uploads/534449/8b9ac73e-4230-4b71-bce0-a8ab4dbd1fb8)\n\n\\\nHello YC community & world,\\\n\\\nIt’s an exciting time! Turja and I are building [Village Labs](https://villagelabs.app/), a new firm that helps businesses become employee-owned by helping them set up and manage an employee stock ownership plan (ESOP).\\\n\\\nESOPs are federal retirement plans that enable companies to give their employees shares in the business in exchange for major tax benefits. They are NOT stock option plans, and no, we are NOT doing cap table management!\\\n\\\n**EMPLOYEE OWNERSHIP WILL BE BIG**\\\nThere are currently about 6,000 companies with an ESOP across the country — the popular names include Publix Supermarkets, Harpoon Brewery, and Recology (the maker of those black, blue, and green trash bins you see on every street in SF).\\\n\\\nEmployee ownership has been around for decades in America, but there’s going to be an explosion in the number of employee-owned businesses that are created in the next few years. There are a couple of reasons for this:\n\n1. **The Silver Tsunami:** 2\\.9M Baby Boomer business owners are going to sell their businesses in the next few years. Many of them will sell to their employees because they get a fair price, tax benefits, and the comfort of knowing their employees will be taken care of - things not guaranteed by traditional buyers like private equity.\n2. **Government support**: Congress and state legislatures are passing more legislation to encourage the creation of ESOPs. This largely looks like more tax benefits for ESOP businesses and owners who sell to an ESOP.\n3. **Mainstream awareness**: There’s been a surge in awareness of employee ownership in the last few years because of new press coverage. See: [Pete Stavros on 60 Minutes](https://www.cbsnews.com/news/private-equitys-unlikely-champion-for-giving-workers-a-leg-up-with-employee-ownership-60-minutes-transcript/), [Blackstone announcing its employee ownership initiative](https://www.wsj.com/finance/blackstone-to-grant-equity-to-most-employees-in-future-u-s-buyouts-3c5fed45), [major businesses announcing becoming employee owned.](https://www.wsj.com/articles/room-board-sets-up-employee-stock-ownership-plan-giving-workers-a-stake-6d214864)\n\n\\\n**WHAT IS VILLAGE LABS DOING?**\\\nAt Village Labs, we’re setting out to help create as many employee-owned businesses as possible. In terms of what we do, we help owners sell to their employees via an ESOP and then provide them with the tools they need to manage their plans. \\\n\\\n**HOW YOU CAN HELP**\\\nMost business owners don’t know that selling to their employees is an option (and one that commonly comes with the most financial benefits). We’re working to change that by building a nationwide network of partners with close connections to the many Boomer business owners who will retire soon. We work with these partners to educate owners on selling to their employees.\\\n\\\nIf you’d like to help, you could introduce us to…\n\n* Owners and executives at mid-sized businesses with 20+ employees and stable cash flows\n* Business brokerage firms (e.g. Transworld, Sunbelt Brokers, etc.)\n* Exit/estate planning firms + wealth managers\n\nAnd if you happen to be one of these, we’d love to talk to you.\n\n\\\n**WHY WE’RE EXCITED ABOUT EMPLOYEE OWNERSHIP**\\\nThe short answer is that being employee-owned is just a better way of doing business.\\\n\\\nHere’s the story of CHI Overhead Doors, a garage door manufacturer in rural Illinois. They’re not an ESOP, but their story highlights what makes employee ownership so awesome.\\\n\\\n[ ](https://www.youtube.com/watch?v=xJiugz-QPSA)\n\\\nThis isn’t an isolated, one-off thing. There are many stories out there of businesses that benefited from becoming employee-owned - and we’ve seen them personally. Turja and I have been on the road for a lot of YC this summer, visiting employee-owned businesses in places like Portland, Tuscon, and other cities across the country. One of the main things you notice is that the employees are noticeably happier, and the quality of service is excellent - likely because the employees have ownership in the business and, therefore, an incentive to see it succeed. It’s the same reason we, as founders, give shares to our employees.\\\n\\\nConsidering 70% of Americans [don’t like their jobs,](https://www.gallup.com/workplace/468233/employee-engagement-needs-rebound-2023.aspx?stream=science) and \\~50% [have no retirement savings](https://usafacts.org/data-projects/retirement-savings), we think widespread employee ownership would bring those numbers down. That’s why our goal is to create as many employee-owned businesses as possible. That means more people who enjoy their jobs, more retirement savings, and a more productive economy.\\\n\\\nAgain, most people don’t know that employee ownership is a thing, but wouldn’t we all be better off if they did? If you’d like to help us with this or are just curious to learn more, please do reach out!\\\n\\\nThanks for reading!\\\n\\\n\\-Roger & Turja",
        "url": "https://www.ycombinator.com/launches/Lnq-village-labs-we-help-america-s-businesses-become-employee-owned",
        "votes": 18,
        "created_at": "2024-09-06T14:07:41.797Z"
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    "id": 29968,
    "name": "Patched",
    "slug": "patched",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb149bb2976430923620abcb50a97acc06ab22c0.png",
    "website": "https://patched.codes",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Patched executes regulated workflows in hours instead of days, with full auditability and control.",
    "one_liner": "Reliable AI for Regulated Ops",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1721263283,
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    "batch": "Summer 2024",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/patched",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/patched.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/patched-codes",
    "x_url": "https://x.com/patchedcodes",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 730289,
        "full_name": "Rohan Sood",
        "title": "Founder/CEO",
        "founder_bio": "Rohan holds a Master's in optimization algorithms from NTU Singapore and is a second-time founder.  He closed millions in enterprise revenue from customers in the defense, energy, and healthcare sectors, before being acquired in 2023 and was a recipient of the million-dollar CSA Innovation Award from the Singapore government.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rohansood3107",
        "x_url": "https://x.com/rohan_sood15",
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    "news": [
      {
        "title": "This YC-Backed Startup Automates Code Reviews and Documentation for Enterprises",
        "url": "https://analyticsindiamag.com/ai-origins-evolution/this-yc-backed-startup-automates-code-reviews-and-documentation-for-enterprises/",
        "date": "Sep 09, 2024"
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      {
        "id": 83449,
        "title": "Patched - Reliable AI for Regulated Operations",
        "tagline": "Patched executes regulated workflows in hours instead of days, with full auditability and control.",
        "body": "> TLDR; Patched is reliable AI for regulated operations, automating high-risk workflows like law enforcement, risk compliance and banking reconciliation for multi-billion dollar clients.\n\nHey everyone, I am [Rohan](https://linkedin.com/in/rohansood3107) - a second-time founder who want to help regulated operations teams automate mission critical tasks that they feel are too high-risk for AI.\n\n**Problem**\n\nThe biggest challenge with enterprise AI isn’t building smarter agents.\n\nIt’s operating them reliably.\n\nAs organizations deploy AI across customer support, banking operations, compliance, cybersecurity, and software engineering, they quickly discover that autonomous systems are probabilistic, constantly evolving, and difficult to control. They fail silently, business logic changes over time, and reliability - not capability - becomes the bottleneck.\n\nThat’s why we built Patched.\\\n\\\n**Solution**\n\nAn AI Operations platform for mission-critical enterprise workflows. We help organizations build, deploy, and continuously improve reliable AI workflows where correctness, security, and auditability matter.\n\n**How does it work?**\n\nPatched combines deterministic workflow orchestration with AI reasoning.\n\nRather than asking a single AI agent to solve an entire problem, workflows are decomposed into structured execution steps. AI is used where intelligence adds value, while deterministic execution handles orchestration, integrations, validation, and business rules.\n\nEvery workflow is continuously monitored using execution outcomes, human feedback, and operational signals, enabling it to improve over time instead of slowly degrading.\n\n**What makes Patched different?**\n\n* **Structured Reliability**\\\n  AI is embedded inside deterministic workflows, making complex operations predictable, observable, and repeatable.\n* **Built for Regulated Operations**\\\n  Complete audit trails, human approvals, policy enforcement, and secure deployment options make Patched suitable for banking, government, cybersecurity, and other high-trust environments.\n* **Continuous Improvement**\\\n  Production outcomes become feedback. Workflows evolve through closed-loop learning rather than relying on static prompts or one-off tuning.\n* **Enterprise Flexibility**\\\n  Deploy with leading commercial models or open-source models, on cloud or air-gapped infrastructure, while integrating with your existing systems.\n\nThe future isn’t autonomous AI. It’s **reliable AI operations** - where users can trust AI to execute business-critical work at scale.\n\n**Our Ask:**\n\n* If you’re exploring a high-risk, high-volume usecase for AI in the banking/financial space, [we’d love to talk](https://calendar.app.google/9tqzA4DCkUp6MBR18).",
        "url": "https://www.ycombinator.com/launches/Lhx-patched-reliable-ai-for-regulated-operations",
        "votes": 45,
        "created_at": "2024-08-27T14:37:24.909Z"
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    "id": 29969,
    "name": "OrgOrg",
    "slug": "orgorg",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fb29e15efef66c7b44bb861d2b14c2d4cc13ca4.png",
    "website": "https://orgorg.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "OrgOrg is a suite of apps that keeps teams productive and healthy regardless of the size of your organization. Founded by the creator of Zenter (YC 07, acquired by Google and became Google Slides), OrgOrg is designed to be a natural extension of Google Workspace Apps to help run organizations collaborate better leading to higher productivity.\r\n\r\nToday the suite includes apps like:\r\n  \r\n• Go links: Go links allows anyone in the org to easily name any link so team members can jump directly to the information that matters most: go/sales, go/production, go/anything-you-want.\r\n• Profiles with Personality: OrgOrg profiles are as insightful as they are delightful. They not only show you the expected org chart data, but also highlight accomplishments, how you like to work, and who you are as a person.\r\n• Goal tracking: Track, share, and collaborate on \"big rock\" goals on the cadence that makes sense for your team from daily to annually.\r\n• Branded New Tab: Keep the team focused the next major milestone, broadcast announcements, and keep important links top of mind every time a new browser tab is opened.\r\n• All Hands Q&A: Crowdsource questions, anonymously if desired, for large team meetings to make sure everyone's voice is heard, and the most top of mind questions are answered and recorded.\r\n• Smart Groups: Create rules based groups of people and use them to make sure the right people are in the right conversations and have the right access. For example, anyone with the title of \"Software Engineer\" should be in the #eng slack channel and eng@ google group.\r\n• On-call: Schedule smart rotations that take into account balancing the load and using signals from calendar schedules to make sure you don't waste time figuring out who can cover what in a fair way. Easily page the on-call from slack, API, or OrgOrg directly.\r\n• And more...\r\n\r\nAll the tools you need so you can spend more time focusing on your core business, and less time focusing on the complexity that comes from running an organization.",
    "one_liner": "Organizational productivity suite for companies",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1722926943,
    "tags": [
      "B2B",
      "Productivity",
      "Collaboration",
      "Operations"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
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    "stage": "Early",
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "OrgOrg is the culmination of 25 years of being an operator. OrgOrg is the third company I’ve founded. My first, Zenter (YC S07), was acquired by Google and turned into Google Slide. I led much of the G Suite in the early days and grew the product to Google’s 4th billion dollar, and billion user product. As good as Google Workspace is as an employee productivity suite, it misses the mark as an organizational productivity suite. The tooling and applications needed to run organizations is largely missing from the suite. So, when I founded my second company in 2016, Humu, I found myself having to rebuild all the internal tools I’d come to rely on to run a productive organization. Things like great employee profiles, anonymous all hands Q&A software, go links, rules based groups of people, and about a dozen more tools and apps that are required run the organization were all absent from existing productivity suites. While there are point-wise solutions to solve some of these problems, it’s clear organizations need a suite of them that seamlessly operate together. In much the same way as the market for the employee productivity suite of docs, sheets and slides is larger than sum of the parts, so to is the market for an organizational productivity suite that brings the best tools together in a cohesive way."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "OrgOrg is solving the problems that arise from organizational complexity, so we can all be more productive and have a bigger impact. I’ve always had a passion for making work better for people. I believe working is fundamental to the human experience. We have a natural propensity to come together and build things that are bigger than what we could do by ourselves. In it’s purest form, work gives us a sense of purpose and joy. However, as organizations add people and grow linearly, the complexity that comes from each addition team member grows exponentially. The added complexity of having to interact with more people causes inefficiencies in communication, reduced focus and velocity, and erodes the sense of purpose that is critical to building successful teams. These problems can be mitigated with the right tooling and technology. With the advent of AI, it’s clear we are on the brink of a change in the labor market as big as the industrial revolution. But, make no mistake, work isn’t going away — because humans will always find ways to work together. The companies that embrace the fundamental reasons why we work, and embrace the technology to help mitigate the challenges of working together, are going to be the ones that are successful. In 2007, with the advent of GSuite (Google Workspace), we fundamentally changed the way people work, and OrgOrg is going to do it again."
      }
    ],
    "url": "https://www.ycombinator.com/companies/orgorg",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/orgorg.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/93273339",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 39282,
        "full_name": "Wayne Crosby",
        "title": "Founder/CEO",
        "founder_bio": "Wayne is the CEO and founder of OrgOrg, an Organizational Productivity Suite. His first startup, Zenter (W07), was acquired by Google and became Google Slides. Wayne spent 10 years at Google building GSuite, Sign-In with Google, Google+, Applied Machine Intelligence, and more. In 2016, Wayne founded Humu, a company focused on making work better by using software and behavioral change. Humu was acquired by Perceptyx in 2023. Wayne has also been a visiting partner at YC for S23 & W24 batches.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wcrosby/",
        "x_url": "https://twitter.com/wcrosby",
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    "news": [],
    "launches": [
      {
        "id": 87985,
        "title": "OrgOrg Screen Recording",
        "tagline": "Stop using Loom, Screen recording is now part of the OrgOrg Suite",
        "body": "![uploaded image](/media/?type=post&id=87985&key=user_uploads/39282/c43abadc-1483-4304-9217-ea072bc5b8db)\n\nThere are too many point wise SaaS products to run your org! Every couple of months, we knock off another one and include it in the OrgOrg suite. Today I'm excited to announce our Loom competitor, the Screen Recorder! 🚀\\\n[See a demo of in action, using the product itself](https://orgorg.com/recorder/33/34mxOUCLCWgqNYRUFZfnGk).\n\nWhether you need to record demos, pitches, bugs, or customer journeys, the Screen Recording app makes capturing and sharing information easy and engaging - connect OrgOrg to Slack to react with all your Slack emojis, too.\n\nIf you use loom today, this is an easy drop-in replacement. Now available to everyone, it streamlines communication and boosts productivity without paying for another product.\\\n\\\nThe OrgOrg suite now includes go/ links, an all-hands AMA, on-call, branded company new tabs, great employee profiles, an org chart, goals tracking, screen recording, and more is on its way. Let’s make all those internal tools work together better for WAY less.\n\nYou can sign up for a free OrgOrg account today at [orgorg.com](http://orgorg.com).",
        "url": "https://www.ycombinator.com/launches/Mt7-orgorg-screen-recording",
        "votes": 5,
        "created_at": "2025-02-25T00:07:37.549Z"
      },
      {
        "id": 82924,
        "title": "OrgOrg - The Organizational Productivity Suite",
        "tagline": "Stop paying for all those pointwise internal tools",
        "body": "![uploaded image](/media/?type=post&id=82924&key=user_uploads/39282/98481f54-27d9-4673-8d6c-89454b13b5af)\n\n**TLDR;**\n\nWe’re building all the internal operational tools you need to run your company, no matter the size. My first startup (Zenter YC W07), sold to Google and became Google Slides. We changed the way more than a billion people work, and I’m doing it again with OrgOrg. Try it [here](https://orgorg.us).\n\n**The Problem - There are too many SaaS pointwise solutions! Seriously.**\n\nThe world over-rotated to point solutions in SaaS. It’s not unusual to have 20+ minor SaaS products to do various organizational chores. It’s easy to see why this happened because you need different tools at different sizes, but it’s also not what users want. It’s expensive, annoying to manage, and none of them work together to create a better user experience.\n\n**The Solution - OrgOrg!**\n\nOrgOrg draws on 25 years of experience leading high-performing teams from founding to big tech. We're building a suite with all the internal SaaS tools that you need for each stage of your company. You save money, time, and they all work together nicely.\n\nFor early stage companies, [Go links](https://orgorg.us/apps/shortlinks), “Big Rock” [Goal tracking](https://orgorg.us/goals), and branded [New browser tabs](https://orgorg.us/apps/new-tab) (with countdowns to your next milestone — like Demo Day) are great ways to stay focused and efficient. For larger teams, add in [Profiles with personality](https://orgorg.us/apps/peopleprofiles), [Smart Groups](https://orgorg.us/apps/rosters) (eg, add all engineers to the #eng channel & eng@ group), [All Hands Q&A](https://orgorg.us/apps/qa), and smart [On-Call management](https://orgorg.us/apps/on-call) to fight the problems that come with the complexity of larger teams. Our roadmap is full of high utility internal apps and tools that build on each to help you run your company better. No matter the size of your org, you can be confident that the right internal tools will be in place when you need them.\n\nJust as no one buys Google Slides alone, buying just an All-Hands Q&A product isn’t enough. OrgOrg’s suite offers significantly more value than the sum of the parts of existing pointwise solutions. At $5/person/month, it's easy to get started and join over 400 organizations already using OrgOrg today.\n\n**Asks**\n\nWant your team to move faster at every size? [Sign up for OrgOrg and give it a try](https://orgorg.us).\n\nHave an internal app you’ve used before that you wish you could have at your company? Let me know at [wayne@orgorg.us](mailto:wayne@orgorg.us).",
        "url": "https://www.ycombinator.com/launches/LZU-orgorg-the-organizational-productivity-suite",
        "votes": 57,
        "created_at": "2024-08-11T18:00:46.391Z"
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    "id": 29972,
    "name": "Affil.ai",
    "slug": "affil-ai",
    "former_names": [
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      "Affil"
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    "website": "https://affil.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build AI compliance for external marketing. For example, we work with major creators to ensure that their content meets credit card marketing guidelines.",
    "one_liner": "AI Affiliate Network For Financial Companies",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1724004001,
    "tags": [
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      "B2B",
      "Compliance",
      "Marketing",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Marketing"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "We help companies like [NextCard](https://nextcard.com/) ensure their content is up to date & compliant so that they can scale their marketing effortlessly. Compliance can be a significant blocker to growth and we help derisk a lot of the steps along the way."
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    ],
    "url": "https://www.ycombinator.com/companies/affil-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/affil-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/affilai",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 723194,
        "full_name": "John Ta",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Affil.ai. Previously: Strategy at Accenture, Growth at Roame (YC S23), M&A IBD at Leerink. Biophysics & Biochemistry major, UPenn",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/johnta2000/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c4cab8380f042eeacfc51eea7b80c647c96fc5b.jpg"
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      {
        "user_id": 912685,
        "full_name": "Vivek Olumbe",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Affil.ai: AI-powered affiliate network for financial companies",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vivek-olumbe/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d14d39ad598c480b2a958ec07e918abb4bd800d.jpg"
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    "launches": [
      {
        "id": 83537,
        "title": "🤖 Affil: AI Compliance for Financial Affiliate Marketing",
        "tagline": "Enabling financial brands to expand marketing efforts & maximize revenue.",
        "body": "**TLDR;** Financial affiliate programs struggle to ensure affiliates are compliant with brand guidelines, leading to limited growth opportunities. [Affil](https://affil.ai/) monitors affiliate content, enabling companies to expand marketing efforts and maximize revenue.\n\n_What is financial affiliate marketing?_ When you see content by The Points Guy or Forbes that talks about credit cards, checking accounts, etc, they get a kickback from the financial brand for anyone who successfully applies for the product.\n\n### ⚠️ The Problem\n\nFinancial institutions (e.g., Capital One) or consumer fintech companies (e.g., Acorns) want to grow their affiliate programs but are completely blocked by compliance barriers. However, it’s expensive and time-intensive to do manual affiliate compliance & management.\n\nOn the flip side, affiliates are also dissatisfied with these financial affiliate programs. The majority have to work with disorganized & outdated middlemen hired by financial brands who take a significant cut of payouts.\n\n### 🛠️ The Solution\n\nOur AI compliance software monitors affiliate content so that financial companies know exactly what’s being said about them so that they can expand their marketing efforts:\n\n* Track thousands of affiliate pages \n* Quickly identify compliance violations without needing human intervention\n* Create support tickets for every issue, so affiliates & brands can keep track of errors\n\nWe’re also improving the affiliate experience:\n\n* Offer higher payouts for conversions (since we have a lower cost structure)\n* Provide a beautiful user experience & working APIs\n* Proactively identify compliance risks & offer automated suggestions to minimize risk\n\nFor example (see below), the AMEX Gold Card underwent significant changes on July 27, 2024, but outdated affiliate content still exists on the internet (that’s not good). We caught this issue that both AMEX and Bankrate missed.\n\n![uploaded image](/media/?type=post&id=83537&key=user_uploads/723194/ba92939d-54dd-48e3-96e2-92f6fd687240)\n\nThe big vision is to become the affiliate network that powers all financial institutions out there.\n\n### 🧍‍♂️Our Team\n\n![uploaded image](/media/?type=post&id=83537&key=user_uploads/723194/876b50d9-2679-48a5-a7ae-e4623f56d47a)\n\n[Vivek](https://www.linkedin.com/in/vivek-olumbe/) & [John](https://www.linkedin.com/in/johnta2000/) first met at Penn and cofounded the first personal finance nonprofit at 8 different colleges, accumulating 2.5k+ users and $25k+ in funding. Vivek is a full stack developer who worked for several startups shipping new products; John was previously in banking, strategy, and growth roles.\n\nAfter managing affiliate relationships in a prior role & being involved with credit cards for years (fun fact: he has 30 cards), John realized the financial affiliate marketing space was broken. \n\n### 🤝 Our Ask\n\n* **Leads:** Know anyone at a consumer finance company or publishers/content creators that write about credit cards/use affiliate links? We’d love an intro! \n* **Banking:** We are having particular struggles getting in contact with some of the key stakeholders at some of the major banks (think Chase, Wells Fargo, USAA…), so if you can make any warm intros to folks on the consumer banking side, I’ll buy you dinner!\n\nContact: founders@affil.ai",
        "url": "https://www.ycombinator.com/launches/LjN-affil-ai-compliance-for-financial-affiliate-marketing",
        "votes": 20,
        "created_at": "2024-08-28T14:35:12.697Z"
      },
      {
        "id": 83176,
        "title": "Affil - AI Affiliate Marketer 🤝",
        "tagline": "Launch & scale affiliate programs with ease",
        "body": "**TLDR;** Our AI Affiliate Marketer helps companies launch & scale affiliate programs at a fraction of the cost.\n\n**⛔️ The Problem**\n\nRunning a successful affiliate program is hard. Some common challenges brands face:\n\n1. Competing with thousands of other brands on networks like Impact, CJ, or Awin\n2. Reaching out to (many) content creators\n3. Vetting affiliates to avoid spam and fraud\n4. Ensuring affiliates follow brand guidelines, especially in regulated industries like financial services\n5. Managing a growing number of affiliate relationships\n\nThese inefficiencies lead to poor experiences for content creators, who can struggle to monetize their work or feel ignored by brands. Currently, the most common solution is to hire an agency or full-time staff, but that’s expensive.\n\n**🛠️ The Solution**\n\nOur AI-powered affiliate marketer can integrate into any stage of a company’s affiliate marketing journey:\n\n* Identify relevant content creators\n* Handle affiliate outreach, contracting, & onboarding \n* Monitor affiliate content to ensure it meets brand & compliance guidelines\n* Manage affiliate communications\n\n \n\n<https://youtu.be/_Bb67gOIN_c>\n\nWe merge compliance & auditing directly into the affiliate marketing lifecycle:\n\n<https://youtu.be/GC3k8xox7Ik>\n\nDon’t have an affiliate program set up yet? No worries—we’ll get that up and running for you. \n\nDo you have an affiliate program set up in-house or on Impact, CJ, Awin, or elsewhere? We can build on top of them to help grow your program (or we’ll help you migrate your existing program to our network).\n\n**🤝 Our Ask**\n\n* **Demo:** [Book a chat](https://calendly.com/john-affil/30min) & see if we can help you with your affiliate program needs.\n* **Leads:** Know anyone with an affiliate program? Put us in touch!\n* **Banking:** Have connections at major banks like Chase, Citi, or BOFA? We’re aiming to become a financial affiliate network and need help reaching key stakeholders.\n\nBlurb: Affil is building an AI affiliate marketer that can help you launch & scale your affiliate program, with compliance and monitoring built in. Contact [john@affil.ai](https://john@affil.ai) to see a demo from the founders.\n\n**🧍‍♂️Our Team**\n\nHi! We’re [John](https://www.linkedin.com/in/johnta2000/) & [Vivek](https://www.linkedin.com/in/vivek-olumbe/)— we cofounded a nonprofit together at Penn (2.5k+ members). Vivek is a full-stack developer who worked for several startups shipping new products; John was in strategy, banking, and growth roles and uncovered the outdated affiliate marketing space in his previous position.\n\n![uploaded image](/media/?type=post&id=83176&key=user_uploads/723194/c67620a4-5a7a-44fd-b2ec-aa8cd73db332)\n\n",
        "url": "https://www.ycombinator.com/launches/LdY-affil-ai-affiliate-marketer",
        "votes": 53,
        "created_at": "2024-08-19T18:05:20.181Z"
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    "id": 29973,
    "name": "Arva AI",
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    "former_names": [
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      "Arva AI",
      "Arva"
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    "website": "https://www.arva.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Arva AI is a Google backed research company deploying AI Agents for critical banking operations with industry-leading accuracy, from financial crime compliance to lending. Combining proprietary models with adaptive decisioning infrastructure, Arva enables large banks and financial institutions to automate high-risk decisions with greater consistency, effectiveness and control. Always hiring.",
    "one_liner": "AI for critical banking operations",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1721196993,
    "tags": [
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      "AI"
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    "nonprofit": false,
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    "regions": [
      "United States of America",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/arva-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/arva-ai.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/arva-ai/",
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    "cb_url": "https://www.crunchbase.com/organization/arva-ai",
    "github_url": "https://github.com/Arva-AI",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "user_id": 527003,
        "full_name": "Rhim Shah",
        "title": "Founder/CEO",
        "founder_bio": "Formerly led the FinCrime product team at Revolut Business and multiple product teams at Jobandtalent. Prior to that an APM intern at Google. Studied Engineering at the University of Oxford.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rhim-shah",
        "x_url": "",
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      },
      {
        "user_id": 880508,
        "full_name": "Oli Wales",
        "title": "Founder/CTO",
        "founder_bio": "Formerly lead product engineer at Opvia (YC S20), before that a full-stack engineer at Iventis, Chimnie and The Trade Desk. Studied Computer Science at the University of Cambridge.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/oliverfwales",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58517dc8081e6d7ecd4040bf285d2d77cd205ed1.jpg"
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    ],
    "jobs": [
      {
        "id": 73892,
        "title": "Senior Full-Stack Product Engineer",
        "url": "https://www.ycombinator.com/companies/arva-ai/jobs/OBPwCiU-senior-full-stack-product-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£70K - £110K GBP",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Node.js",
          "React",
          "React Native",
          "TypeScript",
          "Machine learning"
        ]
      },
      {
        "id": 89529,
        "title": "AI Research Engineer",
        "url": "https://www.ycombinator.com/companies/arva-ai/jobs/Bl0vCFF-ai-research-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "£80K - £120K GBP",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Node.js",
          "React",
          "TypeScript",
          "Machine Learning",
          "Machine learning"
        ]
      },
      {
        "id": 89530,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/arva-ai/jobs/VWRDWCW-forward-deployed-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £110K GBP",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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          "React",
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      },
      {
        "id": 89533,
        "title": "Head of Product",
        "url": "https://www.ycombinator.com/companies/arva-ai/jobs/64KMXaR-head-of-product",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "£90K - £130K GBP",
        "equity_range": "0.40% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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        "id": 95681,
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        "type": "Full-time",
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        "role_type": null,
        "salary_range": "£50K - £75K GBP",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/arva-ai/jobs/XlzAjf0-enterprise-account-executive",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
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        "title": "Arva AI secures $3m in Google-led funding to enhance KYB and AML automation - FinTech Global",
        "url": "https://fintech.global/2025/01/16/arva-ai-secures-3m-in-google-led-funding-to-enhance-kyb-and-aml-automation/",
        "date": "Jan 16, 2025"
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      {
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        "url": "https://www.finextra.com/newsarticle/45323/google-fund-invests-in-kyb-verification-startup-arva-ai",
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        "url": "https://www.axios.com/pro/fintech-deals/2025/01/14/kyb-verification-startup-arva-ai-3-million",
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      {
        "title": "Arva AI demos at Finovate main stage",
        "url": "https://www.businesswire.com/news/home/20250114118015/en/Finovate-Announces-First-Wave-of-Demo-Companies-for-FinovateEurope-2025",
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        "id": 82926,
        "title": "Arva AI — AI agents for instant global KYB onboarding",
        "tagline": "We make onboarding onto a bank/fintech as a business 100x faster and significantly cheaper.",
        "body": "# **✨ TL;DR**\n\n[Arva AI](https://arva-ai.com) ([LinkedIn](https://www.linkedin.com/company/arva-ai/)) makes onboarding onto a bank/fintech as a business 100x faster and significantly cheaper. We've built a highly compliant AI agent that instantly handles all low/medium risk manual KYB work in real-time as a customer is onboarding, cutting reviews to seconds and ops spend by 80%.\n\n# **❌ The Problem**\n\nWhen a business onboards with a bank or fintech, a human analyst has to conduct manual verification over 40% of the time.\n\n**Why is this human review stage a problem?**\n\n* Longer onboarding times cause drop-off from the onboarding funnel (in some cases, up to 50%!). This is a huge revenue loser.\n* Large operational overheads to run compliance teams— usually in the millions for large fintechs.\n* Humans make mistakes and deviate from procedure.\n\n# **💡 Enter Arva AI**\n\nArva AI’s agents completely replace human analysts, resulting in instant onboarding for low/medium-risk cases. Arva is a modular solution that can combine with preexisting compliance stacks or completely replace them as an end-to-end platform.\n\nArva is capable of conducting advanced web due diligence on a business entity, document verification, fraudster checking, handling the back and forth with customers, and much more.\n\n![uploaded image](/media/?type=post&id=82926&key=user_uploads/527003/684e6818-ad6c-4495-8ae3-876bda10813a)\n\n**See it in action**\n\n<https://www.loom.com/share/d956b4139f6646649fe0d518caad3386?sid=3b47393f-3078-46b4-8e7a-2d1502a8e702>\n\n# **🙏 Asks**\n\nIf you’re a fintech who has to conduct KYB onboarding, we’d love to discuss how we can make your onboarding times 100x faster and save you a bunch of money in the process. Book a demo [here](https://calendar.app.google/tBcxQvpgYmeymkveA), or drop us an email: [rhim@arva-ai.com](mailto:rhim@arva-ai.com). Or if you’re connected to the fintech space and there is someone you can introduce us to, please reach out!\n\n# **🦸 The team**\n\nWe’re Rhim (Oxford MEng) and Oli (Cambridge BSc), and we’ve been building products together for a while!\n\n* [Rhim](https://www.linkedin.com/in/rhim-shah/) (CEO) formerly led the FinCrime product team at Revolut Business, where he saw the extent of the manual workload during business onboarding. He also led multiple product teams at Jobandtalent. Prior to that, he was an APM intern at Google.\n* [Oli](https://www.linkedin.com/in/oliverfwales/) (CTO) was formerly the lead product engineer at Opvia (YC S20). Before that, he was a full-stack engineer at Iventis, Chimnie, and The Trade Desk.\n\n![uploaded image](/media/?type=post&id=82926&key=user_uploads/527003/ff6e2714-bf7a-4743-983d-94ef0a4f7ce6)\n\n",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Freestyle builds the most powerful VMs for AI Agents. \r\n\r\n- **Instant Startup**: Freestyle VMs provision in milliseconds, with p99s under 400ms.\r\n- **Persistence**: Freestyle VMs can run forever, they can be hibernated with their exact memory in place and come back to life weeks later instantly, in that exact state.\r\n- **Powerful**: Freestyle VMs go up to 64GB of RAM for public tiers and much further for enterprise. Freestyle does high quality hardware virtualization supporting nested virtualization, FUSE, eBPF, full Linux networking and more. If it can run in an EC2, it can run in a Freestyle VM.\r\n- **Cheaply Snapshottable and Branchable**: Freestyle VMs are instantly and cheaply snapshottable (sub 1ms interruption, sub 50ms to snapshot ready). These snapshots can be used to create new VMs in the exact state of the original VM (memory and disk). This enables powerful workflows like branching, cloning, and rapid recovery from failures.\r\n\r\n",
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        "full_name": "Benjamin Swerdlow",
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        "full_name": "Jacob Zwang",
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        "founder_bio": "I dropped out of college and became an Apple senior full-stack engineer in Conversational Engineering at 19. During the year and a half I worked there, I delivered multiple projects to production at scale.\n\nI love building products that inspire and delight customers, but I'm frequently frustrated by poor back-end developer tools. My co-founder and I are building a new cloud and backend workflow so that we and others can build exceptional software in a fraction of the time.",
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        "title": "Freestyle: A new way to build fullstack TypeScript apps",
        "tagline": "Empowering TypeScript developers to build with TypeScript",
        "body": "Today, most new apps are written with Fullstack TypeScript, but the tooling around them is still built as though the frontend and backend are separate codebases. We built an open source framework, runtime, and cloud that acknowledges this and removes these unnecessary layers from the development process.\n\n**What?**\n\nAny JavaScript class can be marked as [@cloudstate](https://github.com/freestyle-sh/cloudstate), and:\n\n1. The data in it is now persisted. You query the data with regular JavaScript.\n2. The methods on it can now be called from the front end. No Express/API Routes/tRPC needed!\n\n**Coolest Side Effect:** By building our tooling around Fullstack TypeScript, we enable **full-stack feature packages,** a way for JavaScript developers to package any feature they build and share it in a way that it can be embedded in other projects. Think **npm install mui**, except it’s **npm install chat**, or **npm install auth**. Imagine a world where every third-party SaaS provider today can be an open source package that runs in your application.\n\n**Our Ask:**\n\n**Build with us!** Contribute to our [Open Source Repository,](https://github.com/freestyle-sh/cloudstate) or try [deploying an app with us](https://docs.freestyle.dev)!\n\n![uploaded image](/media/?type=post&id=83627&key=user_uploads/89898/0a2412f8-6b6e-4906-9d8f-256badd8b332)\n\n",
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        "created_at": "2024-08-30T19:44:46.817Z"
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        "title": "Freestyle: TypeScript for EVERYTHING",
        "tagline": "A fundamental shift in how we approach web development",
        "body": "# **TLDR; You can use TypeScript for EVERYTHING**\n\n[**Freestyle**](https://www.freestyle.sh) is a fundamental shift in how we approach web development. With Freestyle, you write your entire application—frontend and backend—in TypeScript. No context switching. No mental gymnastics. Just pure, consistent TypeScript throughout.\\\n\\\nRight now, building an application has a ton of disjointed layers. Imagine you’re writing a book in English for English readers. Now, imagine being told that all the connecting words—the “ands,” “buts,” and “ors”—must be written in Latin. Sounds absurd, right? Yet, this is often what web development feels like: you write your frontend in one language, only to switch to another for the backend, another for your database, and yet another to let your app connect to others.\n\n![alt](https://blog.freestyle.dev/images/blogs/multiplayer-infinite-craft/meme-backend-frontend.png)\n\nDuring our work for Apple, we lost hundreds of hours trying to integrate different layers and teams together to make our application run. That time should’ve been spent on features, but instead was spent on stitching features together. We created [Freestyle](https://www.freestyle.sh) not as a new stitching tool but as a way for whole organizations to not need those tools and instead function as a single unit.\n\nWhen you use Freestyle, you write your frontend and backend in JavaScript. Then, when you wanna call functions from your backend on your frontend, you just use them — no more dealing with REST APIs. When you want to store data, you just mark your JavaScript as [@cloudstate](https://docs.freestyle.dev/guides/cloudstate/) and when you’re ready to deploy, you run **_npx freestyle deploy_** — and in one command you’re up and running.\n\nNo more SQL, no MongoDB, no Firebase, no GraphQL or REST, or anything else taking time away from building features. With Freestyle, all you need is TypeScript.\n\n### Ready to try it? [**Sign up for a demo here**](https://www.freestyle.sh/join), or [**CHECK OUT THE DOCS HERE**](https://docs.freestyle.dev/getting-started/astro)",
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        "created_at": "2024-06-25T22:12:58.661Z"
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    "name": "Merlin AI",
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    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Merlin is an AI-powered ERP for construction companies. \r\n\r\nWe provide construction companies with a single, AI-powered platform to manage their entire business operations. Our platform unifies project management, materials management, finance, estimating, and CRM—traditionally scattered across multiple systems—into one cohesive solution. For the first time, construction firms can automate and oversee every aspect of their projects in a single, intuitive system. Today, construction companies pay for 8-17 different tools - that we eliminate the need for. \r\n\r\nWe reduce \r\n\r\n- Manual work by 60%\r\n- Cut software costs by $10,000 monthly\r\n- Complete projects 3x faster. \r\n\r\nWhy Now?\r\nWe're witnessing a perfect storm of factors: decades of stagnation in traditional ERP systems, a multi-billion-dollar industry built on misaligned incentives, and the transformative potential of AI. This confluence creates a rare cyclical opportunity for market upheaval. The last major shift in this space occurred in the 1990s with the advent of digital systems, and now, 30 years later, we're on the cusp of another seismic change. Customers are crying out for innovation and as AI reshapes the landscape, early customer signals indicate an eagerness for smarter, more efficient systems. It's a unique window of opportunity that opens perhaps once in a multi-decade chance to redefine an entire industry's operational backbone.\r\n\r\nTeam:\r\nKS, a BITS Pilani grad and successful startup co-founder, and Ayantika, an IIT alumni and tech expert, bring extensive coding and product development expertise together bringing about over a decade of technical expertise. Sneha ( that’s me), with over a decade of experience in supply chain management and lean manufacturing within the construction industry, has lived the pain of using ERPs in this industry.",
    "one_liner": "AI powered ERP for Construction",
    "team_size": 19,
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        "full_name": "Sneha Kumari",
        "title": "Founder",
        "founder_bio": "Construction and supply chain expert with 12+ years in prefab, modular, and manufacturing. Implemented multi-million dollar ERP systems and industry best practices across multiple firms and found myself incredibly frustrated and tired from the experience. Founded Merlin to create the ERP solution I always wished for - one that works for construction and manufacturing. Passionate about all things construction and circular economy.",
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        "linkedin_url": "https://linkedin.com/in/snehakumari",
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        "full_name": "Ayantika Dey",
        "title": "Founder/CTO",
        "founder_bio": "IIT Computer Science grad. Early engineer at Rippling. Now tackling construction industry pain points head-on with Merlin.",
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        "full_name": "Kumar Siddhartha",
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        "founder_bio": "CS grad from BITS Pilani. Spent the last 12 years writing code and building product at startups. 2nd engineer at Swiggy. Co-founded Index (https://getindex.co, acquired 2021). Tackling the ERP mess in US construction with Merlin.",
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        "title": "Product Engineer (Customer-Facing)",
        "url": "https://www.ycombinator.com/companies/merlin-ai/jobs/BIHU5Bd-product-engineer-customer-facing",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹1.2M - ₹1.4M INR",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 83343,
        "title": "MerlinAI: AI-powered ERP for construction 🏗️",
        "tagline": "Automate your construction workflows with our unified, all-in-one, AI-powered platform.",
        "body": "**Tl;dr** - We offer construction companies a single, AI-powered platform to streamline their entire business operations. From sales, estimating, project management, and materials management to finance, estimating, and CRM, our platform unifies these essential functions—traditionally spread across multiple systems—into one cohesive solution.\n\n---\n\n—\n\n👷‍♂️👷‍♀️🔧🚧👷‍♂️ Hi everyone, This is Sneha, KS, and Ayantika from Team MerlinAI!\n\n[KS](https://linkedin.com/in/kumar-siddhartha-44847516), a BITS Pilani grad and successful startup co-founder, and [Ayantika](https://linkedin.com/in/ayantika-dey-b8155b76), an IIT alumna and tech expert, bring extensive coding and product development expertise together, bringing about over a decade of technical expertise. [Sneha](https://linkedin.com/in/snehakumari), with over a decade of experience in supply chain management and lean manufacturing within the construction industry, has lived the pain of using ERPs in this industry.\n\n![uploaded image](/media/?type=post&id=83343&key=user_uploads/658785/154e02ac-146c-468f-926b-3c1d759cdb6f)\n\n🚧 **Problem**: Construction companies today juggle 8-17 different software tools—Merlin AI eliminates that complexity. For the first time, firms can automate and manage every aspect of their projects within a single, intuitive system.\n\n🛠️ **Solution**: Merlin AI empowers modular and manufactured home builders with an advanced, AI-driven platform that integrates estimating, materials management, finance, project management, and CRM. Say goodbye to fragmented systems and hello to streamlined efficiency.\n\n<https://www.youtube.com/watch?v=hsk_ZvI40JI>\n\n📌🔨Merlin helps companies reduce\n\n* Manual work by 60%\n* Cut software costs by $10,000 monthly\n* Complete construction projects 3x faster.\n\n![uploaded image](/media/?type=post&id=83343&key=user_uploads/658785/f6c4ffb8-3a32-4862-a52d-cd835ecfbcec)\n\n💰💰 **Opportunity**: \n\nWe're witnessing a perfect storm of factors: decades of stagnation in traditional ERP systems, a multi-billion-dollar industry built on misaligned incentives, and the transformative potential of AI. This confluence creates a rare cyclical opportunity for market upheaval. The last major shift in this space occurred in the 1990s with the advent of digital systems, and now, 30 years later, we're on the cusp of another seismic change. Customers are crying out for innovation, and as AI reshapes the landscape, early customer signals indicate an eagerness for smarter, more efficient systems. It's a unique window of opportunity that opens perhaps once in a multi-decade chance to redefine an entire industry's operational backbone.\n\n✨ **Our Ask**\n\nLeads: If you know of a construction company, offsite manufacturer, factory, builder, developer, or design firm wanting to improve their construction integration and project management, please send them to [snehak@merlinai.co](https://snehak@merlinai.co)\n\n📝 **Mention Us**: If you like what you see, share the love! Mention us in Slack groups, social media, or any community where construction companies, offsite builders, or startup founders gather.",
        "url": "https://www.ycombinator.com/launches/LgF-merlinai-ai-powered-erp-for-construction",
        "votes": 69,
        "created_at": "2024-08-23T17:38:49.272Z"
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    "name": "Midship",
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    "website": "https://midship.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Midship is rebuilding internal audit from the ground up. We're starting with SOX testing by building AI agents that perform audit work end to end, giving auditors leverage to focus on higher-value risk and advisory work.",
    "one_liner": "AI for SOX testing",
    "team_size": 3,
    "industry": "B2B",
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        "full_name": "Kieran Taylor",
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        "founder_bio": "Photography nerd, competitive vimmer, mediocre tennis player. \n\nFrom the UK 🇬🇧\n\nEx-Deloitte, Amazon & Instacart.\n\nCo-founder of Midship - AI for SOX Testing",
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        "title": "Midship - AI for SOX Testing",
        "tagline": "Midship is the world’s first end-to-end platform for automating SOX testing",
        "body": "**Hi YC**\n\nSOX testing is one of the most painful parts of being a public company. We built Midship to fix that.\n\nSince launch, multiple public companies have onboarded and are already cutting weeks of testing work down to hours.\n\nhttps://www.youtube.com/watch?v=aV0c_OQlHeg\n\n**The problem**\n\nSOX testing is an extremely expensive and time-consuming part of being public.\n\nCompanies either:\n\n* Spend millions outsourcing the work to consultants, or\n* Burn thousands of internal hours doing testing and documentation manually\n\nIn both cases, the results are the same: auditors being pulled away from higher-value risk and strategy.\n\n**The solution**\n\nWe built the first **end-to-end [SOX automation platform](https://midship.ai/sox)**.\n\nOur AI agents handle the heavy lifting\n\n* Running attribute tests like tie-outs and reconciliations across evidence\n* Linking and annotating support so every conclusion is transparently documented\n* Assembling audit-ready workpapers in the exact formats external auditors expect\n\nWe deliver this through the **two surfaces where SOX work happens**:\n\n* A **web app** for managing tests and documentation\n\n  ![uploaded image](/media/?type=post&id=93785&key=user_uploads/710254/ed579c54-cadb-4aff-83d0-e3f5479bc3c4)\n\n* A **native Excel add-in** for auditors who live in spreadsheets\n\n  ![uploaded image](/media/?type=post&id=93785&key=user_uploads/710254/68313bad-cc21-4e1f-8f9a-427f1e7ae5bd)\n\n\n**What’s next**\n\nToday, Midship saves companies time on testing and documentation. Next on our roadmap, we’re focused on automating **evidence gathering itself**, reducing the hours teams spend just collecting data. This will set the stage for SOX testing to evolve from point-in-time exercises to **continuous monitoring.**\n\nIf you’re connected to internal audit or SOX teams, we’d love an intro.\n\nLearn more at [Midship.ai](https://midship.ai/).",
        "url": "https://www.ycombinator.com/launches/OOf-midship-ai-for-sox-testing",
        "votes": 12,
        "created_at": "2025-09-15T06:10:15.223Z"
      },
      {
        "id": 88714,
        "title": "Midship - AI for Financial Auditors",
        "tagline": "Midship accelerates financial audit procedures with AI agents",
        "body": "Hi YC 🫡\n\nWe’re Kieran, Aahel and Max from Midship and we are building AI agents that accelerate financial audits. With Midship, you can go from a folder of 100 unorganized PDF documents to a draft work paper in minutes, rather than days.\n\nOur agents target low-complexity, document based auditing tasks, such as matching invoices to ledger items and checking correctness of dates on receipts. They collect and link evidence at every step, making all work quickly verifiable.\n\nOur launch video makes the bold claim that our platform will break up the stranglehold the Big 4 (Deloitte, EY, PWC, KPMG) have on the audit market:\n\n<https://www.youtube.com/watch?v=o-8_NwHYgCQ>\n\n# **Problem**\n\n**Everyone gets audited**\n\nEvery public company in the US requires a yearly audit of their financial statements by an accredited auditor. These require an auditor to gather evidence that a company’s financial statements are accurate and complete, to a reasonable level of assurance.\n\n**Everything is a PDF**\n\nAs the auditor is external, getting the data invariably means receiving many PDFs of financial documents, such as invoices, purchase order and receipts. Until recently, there was no way to reliably extract and process the data from these documents, meaning a human had to go through each of the documents by hand.\n\n**Audit workflows are painful**\n\nBeyond the time spent on an individual audit, the audit profession as a whole is feeling the ramifications of these quality of life issues. One look at /r/accounting will show you the frustration auditors are feeling with long hours, especially during busy season (right now).\n\n# **Solution**\n\nWith the advent of modern vision language models (VLMs), we can extract data from these financial documents and process them as if we had a direct integration with the clients accounting and ERP systems.\n\nA task such as “find the correct invoice for each of these 50 samples” goes from hours of manual work to a few minutes of VLM processing.\n\nWe then go one level further with agents performing audit tests from plans written in natural language. For example, an auditor may plan to check that for each sample, “all amounts match between documents”. Midship performs this check, links to evidence in the source documents and highlights anything that requires review by an auditor.\n\n**We have a web app:**\n\n![uploaded image](/media/?type=post&id=88714&key=user_uploads/1473312/a66dd447-a22f-455b-b447-9375126e4159)\n\n**And a native Excel add-in with all the same functionality:**\n\n![uploaded image](/media/?type=post&id=88714&key=user_uploads/2088119/0dd68370-1716-43ba-b807-626af26c9551)\n\n# **Our ask**\n\nIf you have worked with a **auditor from outside the Big-4** in a current or recent role, we would _love_ to talk to them.\n\nContact us at: [founders@midship.ai](mailto:founders@midship.ai)\n\n![uploaded image](/media/?type=post&id=88714&key=user_uploads/2088119/a4928339-03ca-4ff2-8340-c249cd4fa097)\n\n",
        "url": "https://www.ycombinator.com/launches/N4s-midship-ai-for-financial-auditors",
        "votes": 28,
        "created_at": "2025-03-17T19:08:43.978Z"
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      {
        "id": 85135,
        "title": "Midship - Extract & Structure Document Data",
        "tagline": "Turn unstructured documents into clean business data - give it a try with your documents now!",
        "body": "Hey YC! We're Aahel, Kieran, and Max from [Midship.](https://midship.ai/)\n\n### **TLDR**\n\n[**Click here**](https://app.midship.ai/demo/) **to try our playground!**\n\nBusinesses spend countless hours manually copying data from documents into spreadsheets, ERPs, and other business systems. Midship extracts data from any document into standardized formats that integrate with your existing business processes. Today, Midship powers diverse organizations from finance to biotech, saving enterprises countless hours of manual work daily.\n\n![uploaded image](/media/?type=post&id=85135&key=user_uploads/1473312/886e10d8-4f40-4f8a-946f-c3166f5ea5c9)\n\n### **The Problem**\n\nAccountants spend almost 50% of their time on manual data entry. Supply chain managers manually process hundreds of shipping documents. Healthcare administrators copy-paste endless insurance forms. This list goes on.\n\nHighly skilled professionals are spending half their days on mindless data entry.\n\n### **The Solution**\n\nMidship eliminates this manual process. Here's how it works:\n\n* **Extracts** the data you need from any document\n* **Audit** each extracted value against the source on Midship\n* **View** all your extractions in Midship's structured data interface\n* **Export** data where you need - your excel templates, api integrations.\n\n![uploaded image](/media/?type=post&id=85135&key=user_uploads/1473312/99f51026-2b6d-4289-afc4-ddc82040f043)\n\n### **How is Midship different?**\n\nWhile others simply pull raw data from documents, Midship transforms extracted data into the format you use for work. Whether column names don't match, source documents show monthly values but you need annual amounts, or layouts are inconsistent - you'll get clean, standardized data.\n\n![uploaded image](/media/?type=post&id=85135&key=user_uploads/1473312/3a58a438-5da7-48d6-bcfc-516236f260d6)\n\n### **Try It Now**\n\nVisit our [playground](https://app.midship.ai/demo/) to test it out with your own documents. We’ve preloaded it with industry-specific templates for annual reports, commercial invoices, legal contracts, etc.\n\n—\n\nBook a demo once you’re ready to try out the full Midship experience with your templates. We're so eager to learn about your business use cases and show you what’s possible.\\\nEmail us at [**founders@midship.ai**](mailto:founders@midship.ai)\\\n\\\nCheers!\\\n[**Aahel**](https://www.linkedin.com/in/aahel-iyer-221999120/), [**Max**](https://www.linkedin.com/in/max-maio-897514195/), and [**Kieran**](https://www.linkedin.com/in/kieranctaylor)",
        "url": "https://www.ycombinator.com/launches/M99-midship-extract-structure-document-data",
        "votes": 24,
        "created_at": "2024-10-29T21:20:08.636Z"
      },
      {
        "id": 82857,
        "title": "Midship - Extract documents straight to your spreadsheets",
        "tagline": "Complex docs in, organized data out.",
        "body": "Hey YC! We're Aahel, Kieran, and Max from [Midship](https://midship.ai/).\n\nWe became friends while working together at our previous company. We grew up in different corners of the world, but quickly found common ground over intense FIFA matches, Blue Bottle Coffee and love for building impactful software. We're so thrilled to be on this journey.\n\n### **TLDR**\n\n[Midship](https://midship.ai/) extracts information from complex documents and inputs it directly into your preferred spreadsheets, significantly reducing manual data entry.\n\n### **The Problem**\n\nEnterprise professionals waste hours manually extracting data from documents into spreadsheets. Whether it's loan applications or legal contracts, this process steals hours from valuable analysis.\n\n![uploaded image](/media/?type=post&id=82857&key=user_uploads/1473312/56250a24-2971-4c0b-a4a8-9800c3155bb8)\n\n### **Our Solution**\n\n1. Upload your source documents (PDFs, reports, etc.)\n2. Upload your target spreadsheet template\n3. Midship extracts the required data and maps it to your template\n4. Download your fully populated spreadsheet, ready for analysis in minutes\n\n### **See it in action**\n\n<https://youtu.be/ht5zkUg3haE>\n\n### **Our Ask**\n\nKnow senior finance professionals in these areas?\n\n* Hedge Funds or Asset Management\n* Investment Banking\n* Private Equity\n\nWe've made it easy to help! Just drop their names, LinkedIn URLs, or emails in our [quick form](https://docs.google.com/forms/d/e/1FAIpQLSe3RzZv29hfRpB3mZwGliL8LfjIYKINtVQAgFyt1Cn2QRcGMQ/viewform?usp=sf_link). Your referrals are incredibly valuable to us as we grow.\n\n### **We are launching a Startup Tier**\n\nWe're excited to introduce our Startup Tier, designed to support early-stage companies. While we're starting small to ensure quality support, we'd love to hear from you if you're moving data from PDFs to Excel/GSheets or structured JSONs.\n\nWe're eager to learn about your needs and help however we can. \\\nEmail us at [founders@midship.ai](mailto:founders@midship.ai) \\\n\\\nCheers!\\\n[Aahel](https://www.linkedin.com/in/aahel-iyer-221999120/), [Max](https://www.linkedin.com/in/max-maio-897514195/), and [Kieran](https://www.linkedin.com/in/kieranctaylor)\n\n![](https://framerusercontent.com/images/fjdCECrV2eEYwoWfvAM4huYHQXI.png)\n\n<https://midship.ai/>",
        "url": "https://www.ycombinator.com/launches/LYP-midship-extract-documents-straight-to-your-spreadsheets",
        "votes": 23,
        "created_at": "2024-08-08T20:03:39.127Z"
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  {
    "id": 29983,
    "name": "PathPilot",
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    "website": "https://www.getpathpilot.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Today, onboarding, servicing, and collections still depend on large human teams — which means operations scale linearly with loan volume. PathPilot deploys specialized AI agents that handle 60–80% of high-volume operational workflows, turning human-heavy processes into scalable software. These agents operate alongside internal teams — embedded directly into existing systems. This allows lenders to grow loan volume and revenue without proportional headcount growth. ",
    "one_liner": "AI Agents for Lending Operations",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1724891975,
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    "url": "https://www.ycombinator.com/companies/pathpilot",
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    "city": "San Francisco",
    "country": "US",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "user_id": 254075,
        "full_name": "Victor Laguna",
        "title": "Founder/CTO",
        "founder_bio": "Founder of PathPilot. Engineer with vast experience growing software products.",
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      {
        "id": 105486,
        "title": "PathPilot - AI Platform for Lenders",
        "tagline": "AI agents that help lenders grow without scaling operational headcount.",
        "body": "Today, we’re launching PathPilot Agents for Lending: specialized AI agents that help consumer lenders automate origination, servicing, collections, and quality on their operations.\n\n## The problem\n\nConsumer lenders need to grow, but lending operations are still expensive, manual, and dependent on large internal teams and external vendors.\n\nBorrowers are often asked to submit the same information multiple times, wait for manual reviews, and navigate disconnected processes across origination, servicing, and collections.\n\nFor lenders, this means higher operating costs, slower decisions, inconsistent customer experiences, and difficulty scaling without adding more headcount.\n\nCurrent AI solutions are not enough. Without specialization, guardrails, and the right operational context, agent quality breaks down—especially in regulated, customer-facing workflows.\n\n## What we built\n\nPathPilot builds specialized AI agents for lending operations, powered by a proprietary harness that connects AI models directly to each lender’s workflows, systems, policies, and data.\n\nIt starts with the **Origination Agent**, which guides borrowers through WhatsApp or web forms, collects the right information, pre-verifies documents, and connects with underwriting, identity, and fraud systems to support faster decisions.\n\nOnce the loan is active, the **Servicing Agent** helps customers with payments, balances, questions, and account updates across voice, WhatsApp, chat, and email.\n\nWhen a payment is missed, the **Collections Agent** follows up compliantly, keeps full conversation and account context, connects with call center and CRM systems, and negotiates next steps to drive resolution.\n\nBehind every workflow, the **Audit and Quality Agent** reviews every interaction and action, identifies quality or compliance risks, and provides actionable feedback that helps both human teams and AI agents improve continuously.\n\n<https://www.youtube.com/watch?v=aAQ1mLB-qPo>\n\n## One agent or a coordinated workforce\n\nLenders can start with a single agent for one workflow or deploy a coordinated workforce of agents that work together and share context.\n\nFor example, the Origination Agent can pass a customer’s application history to the Servicing Agent. If the account later becomes delinquent, the Collections Agent can use the same operational context rather than starting the relationship from zero.\n\nThe Audit and Quality Agent works across the entire system, creating a continuous feedback loop that improves accuracy, customer experience, and compliance.\n\nBecause PathPilot is built on a modular framework, internal AI and engineering teams can extend, customize, and ultimately own the system as their capabilities grow.\n\nWe do not want lenders to become permanently dependent on another black-box vendor. We want to give them a reliable foundation for building and operating their own AI workforce.\n\n## Why we built this\n\nThe problem became personal when I tried to finance my first car after moving to the U.S.\n\nI had no local credit history and very little understanding of how the process worked. I went through a long and frustrating process in which multiple lenders manually reviewed my application, repeatedly requested information, and ultimately offered me a loan with very high fees.\n\nToday, as a real estate investor, I still experience many of the same problems when applying for a mortgage or refinancing a property. The process remains slow, repetitive, and difficult to navigate—even when you understand how lending works.\n\nThere needs to be a better way.\n\nBefore PathPilot, David and I spent years building and operating AI first products at Meta. We learned that making AI work reliably in production requires much more than choosing a model. It requires integrations, evaluations, guardrails, feedback loops, and deep operational context.\n\nWe started PathPilot to bring that infrastructure to lending—so lenders can operate more efficiently and borrowers can receive a faster, clearer, and more responsive experience.\n\n## Where we are today\n\nPathPilot agents are already supporting fintech lenders, BNPLs, embedded lending platforms, and collections organizations across the U.S. and Latin America.\n\nOur customers use PathPilot for workflows including conversational origination, document validation, servicing, collections, and quality assurance.\n\n## Our ask\n\nWe would love to speak with:\n\n* Consumer lenders, BNPLs, neobanks, and embedded lending companies\n* Operations, servicing, collections, risk, and compliance leaders\n* Lending platforms interested in offering specialized AI agents to their customers\n* Internal AI teams looking for a framework they can customize and eventually own\n\nBook a demo at [getpathpilot.com](http://getpathpilot.com).",
        "url": "https://www.ycombinator.com/launches/RRO-pathpilot-ai-platform-for-lenders",
        "votes": 10,
        "created_at": "2026-07-13T16:26:42.554Z"
      },
      {
        "id": 83625,
        "title": "PathPilot: The AI model that understands session replay data",
        "tagline": "Use our API to make your session replays useful",
        "body": "At [PathPilot](https://www.getpathpilot.com/), we are building an AI model (called UXOB) that accurately captures how users interact with software products. We are now making UXOB available via API to a select group of early partners. Email [founders@getpathpilot.com](https://mailto:founders@getpathpilot.com) or [schedule a call](https://calendly.com/vlad-getpathpilot/30min) if you are interested in learning more. \n\n![uploaded image](/media/?type=post&id=83625&key=user_uploads/707937/0f538406-78a1-4406-a6bd-02bb499271ab)\n\n### What is it?\n\nUXOB is an AI model that ingests session replay files and generates user session data like narratives, summaries, tags, and alerts. \n\n![uploaded image](/media/?type=post&id=83625&key=user_uploads/707937/08220806-5300-45a6-b804-ef709e81b744)\n\n### Why are we building UXOB?\n\nMost session replays end up unused, despite containing invaluable information about user experiences. UXOB helps companies unlock the hidden potential of their user experience data to power new features and automation. \n\n### Who did we build UXOB for?\n\nUXOB is built for companies that offer session replays as part of their platform. Our API is designed to be compatible with rrweb-based providers, and we are expanding to other formats. We also support companies with an existing session replay provider that want to build custom automations or features based on their user journeys. \n\n### How do you get started?\n\nWe’re opening up UXOB to a select group of early partners. If you’re interested in incorporating AI-driven session replay observation into your product offering or internal workflows, get in touch with us at [founders@getpathpilot.com](mailto:founders@getpathpilot.com) or [book a time](https://calendly.com/vlad-getpathpilot/30min). \\\nThank you!\n\nVlad and Victor",
        "url": "https://www.ycombinator.com/launches/Lkn-pathpilot-the-ai-model-that-understands-session-replay-data",
        "votes": 58,
        "created_at": "2024-08-30T19:19:31.594Z"
      }
    ]
  },
  {
    "id": 29988,
    "name": "Delineate",
    "slug": "delineate",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/157ef705774b4b91cf62de3244f82d80101e257a.png",
    "website": "https://delineate.pro/",
    "all_locations": "Boston, MA, USA; Remote",
    "long_description": "Delineate is building AI agents to design better clinical trials faster.\r\n\r\nThis is a $10B dollar market, where saving even 1 day along the process is equal to $1-5M in revenue potential.\r\n\r\nWe process existing clinical trial research into specialized datasets saving scientists months of effort.\r\n\r\nDelineate is working with two of the largest pharmaceutical companies. With one of our customers, we are helping them get to the next phase of trials faster by creating the largest dataset on a drug class ever constructed.",
    "one_liner": "Agents for Accelerated Clinical Trial Design",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1739310156,
    "tags": [
      "SaaS",
      "Biotech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/delineate",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/delineate.json",
    "year_founded": 2024,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/delineate-pro/",
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        "user_id": 1994202,
        "full_name": "Emily Nieves",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Delineate. Previously she was an MIT PhD Candidate in Biological Engineering and worked at Pfizer and AstraZeneca where she focused on applying AI to modeling and simulation for drug development optimization. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/emily-nieves-a67b90144/",
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        "user_id": 1991260,
        "full_name": "Jawad Iqbal",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO of Delineate. Masters thesis in Robotics/AI with 2 research publications. Former technical project manager for high impact digital transformation projects within Skunkworks (Advanced Development) division at Lockheed Martin. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jawad-iqbal/",
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    "launches": [
      {
        "id": 87668,
        "title": "Delineate - Information Overload to Insights in Biopharma",
        "tagline": "Extract meaningful data from biopharma research and patents at scale",
        "body": "![uploaded image](/media/?type=post&id=87668&key=user_uploads/1994202/81ed81f4-b8e2-4a07-b7c7-70d09ac5b497)\n\n### **TLDR**\n\n* Delineate extracts and analyzes data from biopharma research papers and patents at scale, including data trapped in figures and plots.\n* We are partnered with two top-10 pharma companies where we are performing some of the largest systematic-review studies ever conducted.\n* For our clients we have increased the number of processed studies by 15x compared to industry standard and reduced the time for certain studies from months to weeks.\n\n### **Problem**\n\n90% of drug candidates fail despite billions in pharmaceutical R&D. Making evidence based decisions is crucial to the success of $2B drug pipelines. However to aggregate evidence across hundreds of research papers and patents can take research scientists months of hard labor.\n\n### **Solution**\n\nDelineate has developed custom LLM and computer vision models paired with rigorous QC processes to deliver extremely high quality datasets in a fraction of the time. By increasing the scale and speed for evidence aggregation, Delineate is transforming how pharmaceutical companies make evidence based development decisions.\n\n### **Demo:**\n\n[**Here is a quick demo of our platform and a sample project:**](https://www.loom.com/share/66a1878825f14eabaeee7f5cf948c9a1?sid=55675f9b-2d71-40d2-afc3-4be5351fc80f)\n\n### **Ask:**\n\n* Any introductions to biopharma companies that perform meta-analyses and/or computational analysis workflows.\n* If any biopharma-focused YC companies need assistance, we're happy to help!\n\n# About Us:\n\nled by [**Emily Nieves**](https://www.linkedin.com/in/emily-nieves-a67b90144/) (MIT PhD, former Pfizer/AstraZeneca computational researcher) and [**Jawad Iqbal**](https://www.linkedin.com/in/jawad-iqbal/) (ex-Lockheed Skunkworks AI lead)\n\n![uploaded image](/media/?type=post&id=87668&key=user_uploads/1994202/20a27c7b-6a42-4af4-953a-2a6d9883c8a8)\n\n",
        "url": "https://www.ycombinator.com/launches/Mo0-delineate-information-overload-to-insights-in-biopharma",
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        "created_at": "2025-02-13T20:40:24.989Z"
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        "full_name": "Charlie Holtz",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Conductor\n\nPreviously led growth at Replicate, where I built apps with millions of users. Before that I was a quantitative dev at a team at Point72.\n\nI studied cognitive neuroscience at Brown, where I also played Ultimate Frisbee (and met my co-founder, Jackson).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/charlieholtz",
        "x_url": "https://x.com/charlieholtz",
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      {
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        "full_name": "Jackson de Campos",
        "title": "Founder",
        "founder_bio": "Conductor lets you run a team of coding agents on your Mac. We’re building the human interface to AI organizations.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacksondecampos/",
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        "id": 84039,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/conductor/jobs/MYjJzBV-product-engineer",
        "location": "San Francisco, CA, US",
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        "visa": "Will sponsor",
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        "id": 84041,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/conductor/jobs/cMJKjGy-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "url": "https://www.youtube.com/watch?v=u2z44EkIEHE",
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      {
        "title": "Conductor’s Series A | Conductor Blog",
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        "id": 93356,
        "title": "Conductor — Run a bunch of Claude Codes in parallel",
        "tagline": "Conductor lets you run a bunch of Claude Codes all at once, on your Mac.",
        "body": "Back in June, we started doing most of our dev work through Claude Code. It’s been so productive we [declared it a member of the team](https://x.com/charliebholtz/status/1935029747815432505).\n\nWe immediately wanted to get _more_ Claude, but the tooling was tedious. At one point we tried cloning our repo into three directories and running Claude in each of them, but it felt like driving a Subaru with a jet engine strapped on.\n\nWe needed a tool that would push Claude to its limits and that we’d enjoy working in all day.\n\nSo we built Conductor!\n\nhttps://www.youtube.com/watch?v=VsWWy2kVpa8\n\nOther people seem to like it too:\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/b581e29f-2ada-49d3-88f7-c91e6bfb7cf4)\n\n### **How it works**\n\n**In one click, start a new Claude in an isolated copy of your codebase.**\n\nWe integrate with Linear so you can easily start work on your issues.\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/315a80c3-3a33-4296-83cc-f0ac06a4b1f4)\n\n**See at a glance what every Claude is working on.**\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/3993651e-9bbf-4b62-9e70-32c4ff01ffe8)\n\n**Review Claude’s changes, create PRs, and merge!**\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/3d654281-7394-483a-b53d-b7b09d8f5980)\n\n### **Start Conducting**\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/b151e732-3397-4d8e-a138-911dd03a3c64)\n\nIt's free—we use your existing Claude Code login. You can [download for Mac now](https://conductor.build).\n\nCan’t wait to hear what you think!",
        "url": "https://www.ycombinator.com/launches/OHk-conductor-run-a-bunch-of-claude-codes-in-parallel",
        "votes": 23,
        "created_at": "2025-08-27T01:23:48.913Z"
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      {
        "id": 83684,
        "title": "Melty: Open source AI code editor for 10x engineers",
        "tagline": "Melty is the first editor that’s aware of what you’re doing from the terminal to GitHub and collaborates with you to write production-ready code.",
        "body": "Hi everyone! We’re Charlie and Jackson. We’re longtime friends who met playing ultimate frisbee at Brown.\n\n![uploaded image](/media/?type=post&id=83684&key=user_uploads/229410/ab31f858-0576-4cfc-8796-4148b999faae)\n\n[Charlie](http://charlieholtz.com/) comes from [Replicate](https://replicate.com/), where he started the Hacker in Residence team and [accidentally struck fear](https://www.businessinsider.com/david-attenborough-ai-video-hollywood-actors-afraid-sag-aftra-2023-11) into the heart of Hollywood. [Jackson](https://jdecampos.com/) comes from Netflix, where he [built machine learning infrastructure](https://netflixtechblog.com/scaling-media-machine-learning-at-netflix-f19b400243) that picks the artwork you see for your favorite shows.\n\nWe’ve used most of the AI coding tools out there, and often ended up copy-pasting code, juggling ten chats for the same task, or committing buggy code that comes back to bite us later. AI has already transformed how we code, but we know it can do a lot more.\n\nSo we’re building [Melty](https://melty.sh/), the first editor that’s aware of what you’re doing from the terminal to GitHub and collaborates with you to write production-ready code.\n\nWe’ve been working on Melty for 28 days, and it’s already writing about half of its own code. It can…\n\n_(all demos real-time)_\n\n**Refactor code across files**\n\n<https://www.loom.com/share/f0e7ae2644e6492ab9e9352fbd14ae8d?sid=b5d497cd-65f4-47ca-955a-73332d8edc4d>\n\n**Create web apps from scratch**\n\n<https://www.loom.com/share/4f4f85c3de8b420e85b65537b775e3c8?sid=01b43f48-0fec-400a-8bee-71132f6d4610>\n\n**Navigate large codebases**\n\n<https://www.loom.com/share/fc4eb54385a5426586160fad5dbfc1be?sid=73a79e2e-1505-47a1-838b-a375cf7523e4>\n\n**Write its own commits**\n\n![uploaded image](/media/?type=post&id=83684&key=user_uploads/229410/5b579ebb-e893-4a2e-b571-97d7136c681c)\n\nWe’re designing Melty to\n\n* Help you understand your code better, not worse\n* Watch every change you make, like a pair programmer\n* Learn and adapt to your codebase\n* Integrate with your compiler, terminal, and debugger, as well as tools like Linear and GitHub\n\nOur asks:\n\n1. Try Melty ([melty.sh](http://melty.sh)) and tell us what you think. It’s a fork of VS Code, so it’s compatible with all your settings and extensions.\n2. Tell us: what AI coding tools do you use, what do you like about them, and what’s frustrating? [DM Charlie](https://x.com/charliebholtz) or send us an email at [founders@melty.sh](mailto:founders@melty.sh).",
        "url": "https://www.ycombinator.com/launches/Llk-melty-open-source-ai-code-editor-for-10x-engineers",
        "votes": 30,
        "created_at": "2024-09-02T18:38:26.522Z"
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    "name": "Outerport",
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    "website": "https://outerport.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re about to see an influx in the AI-led discovery of new medicines, specialty chemicals, and materials. This means the bottleneck will shift from R&D, to the scale-up of these new recipes. Unfortunately, designing these production systems and making sure they can be operated safely is an expensive and labor-intensive ordeal that involves thousands of pages of drawings where one mistake can cause millions of dollars in rework or even disasters. Outerport solves this by helping engineering firms automate the design of the industrial control systems needed for production scale-up, using a domain-specific language for electrical design with thousands of unit tests that verify performance, and building simulators that can ingest already built schematics of plants to help automate comissioning and help train operators to prevent costly mistakes.",
    "one_liner": "Design automation for industrial electrical controls",
    "team_size": 4,
    "industry": "B2B",
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    "launched_at": 1721673756,
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        "full_name": "Towaki Takikawa",
        "title": "Founder/CEO",
        "founder_bio": "Ex-Research Scientist at NVIDIA, working on R&D for simulation (neural fields, 3D computer vision, 3D generative models). Previously worked in robotics (systems engineering / electro-mechanical design) and manufacturing (operating various CNC machines 😎).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tovacinni",
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    "jobs": [
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        "id": 81669,
        "title": "Member of Technical Staff, Computer Vision / Graphics",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/XyfMWG2-member-of-technical-staff-computer-vision-graphics",
        "location": "San Francisco, CA, US / Tokyo, JP",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Member of Technical Staff, Tokyo Deployed",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/mMUcpLv-member-of-technical-staff-tokyo-deployed",
        "location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)",
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        "experience": "3+ years",
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        "title": "Member of Technical Staff, Process Engineering",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/xNvEant-member-of-technical-staff-process-engineering",
        "location": "San Francisco, CA, US / Tokyo, JP / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Chemical engineering",
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        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 95320,
        "title": "Business Development / Operations, Tokyo",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/xOHQwfu-business-development-operations-tokyo",
        "location": "Tokyo, JP",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $200K",
        "equity_range": "0.10% - 3.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114954,
        "title": "Member of Technical Staff, DSL for Automation & Electrical CAD",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/sRFUnQ9-member-of-technical-staff-dsl-for-automation-electrical-cad",
        "location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)",
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        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $300K",
        "equity_range": "1.00% - 5.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    "id": 29999,
    "name": "Onlook",
    "slug": "onlook",
    "former_names": [],
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    "website": "https://onlook.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Onlook is the fastest way for anyone to craft exceptional experiences in code. We built an open-source, visual editor for code that merges design, development, and AI.\r\n\r\nSince launching, Onlook hit #1 on Hacker News, was the #1 trending repo on GitHub–twice– and has earned over 26,000 GitHub stars.\r\n\r\nFounded by Daniel Farrell, a designer of 10+ years and former Head of Growth, and Kiet Ho, an ex-Amazon and ex-ServiceNow engineer, Onlook is on a mission to finally solve the gap between design and development. ",
    "one_liner": "The Developer tool for Designers",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1737572736,
    "tags": [
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      "Design",
      "Design Tools",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/onlook",
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    "year_founded": 2024,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/onlook-dev",
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        "title": "Onlook – Cursor for Designers",
        "tagline": "An open-source, visual editor that makes it easy for designers and developers to collaborate in code.",
        "body": "**TL;DR – **[**Onlook**](http://onlook.com/?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch)** is building the Cursor for designers, making it easy for designers and developers to collaborate in code. Onlook’s open-source visual editor was the **[**#1 trending repo**](https://github.com/onlook-dev/onlook/)** on GitHub, and has over 6.8k stars.**\n\n➡️ [Try Onlook today](http://onlook.com/download?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch) ⬅️\n\nHere’s a [sneak peak of what it’s like to design with Onlook.](https://www.youtube.com/watch?v=wDity8UrIxE)\n\nHey there, we’re Daniel and Kiet, and we’re building Onlook ([onlook.com](http://onlook.com/?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch)), the Cursor for Designers. \n\n### **The Problem**\n\nThere have been many attempts at solving the problem of design to dev handoff. But for so many tools in the market, there was always compromise. Either the tools were too complex for designers or too cumbersome for engineers to implement.\n\nThey were all built to abstract away code, but we’re in a new era of product development—where code isn’t the barrier. The real challenge is giving builders the best way to work with it. In other words, creating things with code has become more of a UX problem than a technical one.\n\n### **Our Solution**\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/f4e651b1-8cc2-4f41-8512-09500cf2cd0d)\n\nOur product can be best described as a visual IDE – you can either start with building a new app from a prompt, or import your existing NextJS / Tailwind app with Onlook. Once you run your app, you can start designing the interface directly as it’s rendered.\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/7a85a948-73c8-418f-9420-155cdec6d2de)\n\nWant to change a color? Want to move a div? Want to create a new page? You can do it yourself, or ask Onlook’s AI chat to do it for you. Because everything is one-to-one in code, you’re creating the real product with your edits, and you can always right-click to view your code in your preferred code editor.\n\nAnd, when you’re ready to share your creation with the world, you can host your project through Onlook with just a click.\n\n### **How we got here**\n\nWe started Onlook because we had experienced both sides of the design / engineering gap. Daniel has been a designer for over a decade, and Kiet was an engineer at ServiceNow and Amazon working directly with designers. \n\nKiet reached out to Daniel on YC’s Cofounder matching platform after starting the company in January of 2024, and shortly after we decided to team up and work together. If you’re looking for a cofounder, we [wrote a bit](https://onlook.substack.com/p/how-to-find-a-cofounder) about that process that you may find useful on our company Substack. \n\nWe [launched on Hacker News](https://news.ycombinator.com/item?id=40904862) and the project quickly earned over 1k GitHub stars. People were compelled by the idea of an open-source visual editor for code, and it felt like the timing was right. Since launching, we’ve continued to refine our editor to make it even better, and have since earned **6.8k stars**, tons of contributions.\n\nAlso, Onlook was recently ranked as the **#1 trending repo on GitHub**!\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/79a6fb56-14c8-4c1e-b815-9261e651199a)\n\n### **Use Onlook**\n\nYou can get started today by [downloading Onlook](http://onlook.com/download?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch). \n\nPeople use Onlook for **prototyping ideas**, for **building their product**, and for **hosting their website**. Thanks to [Paratus Health](https://paratushealth.com/), [SalesPatriot](https://salespatriot.com/), [Calltree.ai](http://Calltree.ai), [NextByte](https://trynextbyte.com/), [Casixty](https://casixty.com/), [TrainLoop](https://trainloop.ai/), and [Scout](https://www.scoutforschools.com/) for being early partners and for using Onlook to build their sites and products! \n\n### **Asks**\n\n* **Try Onlook** out and reach out to us with your feedback and questions. We love when people send us screen recordings, written feedback, and ideas. Email Daniel – [daniel@onlook.com](mailto:daniel@onlook.com).\n* **Contribute** – Help us build the future of design and development tools! We have an active community of contributors from all over the world, and working on a design editor is very fun. Feel free to [browse our open issues and contribute](https://github.com/onlook-dev/onlook/issues), or [support the project with a star](https://github.com/onlook-dev/onlook/)! ⭐  \n* **Follow us** – We put out a lot of content in a lot of places:\n  * Join our [Discord community](https://discord.gg/ZZzadNQtns)\n  * Follow [Onlook on X](https://x.com/onlookdev)\n  * Follow [Onlook on LinkedIn](https://www.linkedin.com/company/onlook-dev/)\n  * Subscribe to [Onlook on YouTube](https://www.youtube.com/@OnlookDev)\n  * Subscribe to [Onlook on Substack](https://onlook.substack.com/) – we like sharing our learnings of building a company in detail here\n\nOnlook is building **the uncompromising design and development tool** – One familiar to designers and infused with AI to make excellent code that developers love.\n\nWith Onlook, we hope to empower anyone to make incredible websites, incredibly fast, and we can’t wait to see what you create!\n\n### **About Us**\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/a2562297-969e-420b-b563-adea12dea8be)\n\nOnlook is founded by Daniel Farrell ([LinkedIn](https://www.linkedin.com/in/danielrfarrell/)), a designer with a decade of design consulting experience, a first 100 Bird employee, and former Head of Growth at DIMO, and Kiet Ho ([LinkedIn](https://www.linkedin.com/in/kiet-ho/)), a former engineer at Amazon and ServiceNow.",
        "url": "https://www.ycombinator.com/launches/Mkl-onlook-cursor-for-designers",
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        "tagline": "we find bugs in your voice agents so you don't have to 🐛 🔫",
        "body": "👋 hey everyone - we’re oliver and jonathan from [fixa.dev](http://fixa.dev) \n\n# **tl;dr**\n\nwe find bugs in your voice agents - (including hallucinations, interruptions, transcription errors, and sentiment errors), so you don’t have to manually call your agents or listen to conversation recordings ever again. watch our launch video [here](https://www.youtube.com/watch?v=Cnhf3Vs5Dcw)\n\n# **❌ the problem**\n\nfinding bugs in voice agents is a giant hassle\n\ntraditionally, voice AI developers\n\n* hire teams of offshore 🌊 reviewers to read transcripts and listen in on calls\n* often don’t find bugs until a customer complains 😡\n* require the entire eng team to take 30 minutes out of their workday to call their agent prior to pushing changes 😪\n\n# **✅ the solution**\n\nfixa finds bugs automatically in tests and production, providing developers with precise and actionable insights when things go south. \n\nwe pinpoint\n\n* LLM hallucinations 🤯\n* interruptions 🗣️\n* transcription errors 📝\n* sentiment errors (i.e. rude agent) 🤬\n\nand propose changes to your prompt(s) accordingly.\n\nwe spent the past year developing voice agents at [play.ai](http://play.ai) where we experienced the pain of manual bug hunting firsthand and we’re building the solution we wish we had. If you’re building in voice AI - we’d love to hear from you! \n\nthanks ✌️\n\n![uploaded image](/media/?type=post&id=85567&key=user_uploads/667562/5ce44bcf-c8c3-4979-b1ff-7c21db974f74)\n\n",
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        "title": "Andoria - AI customer agent that can interact with the user's interface",
        "tagline": "When your users get stuck, Andoria steps in and helps them use your software",
        "body": "[Andoria](https://andoria.ai/) is an **AI customer agent that can interact with your user’s interface**. The AI agent learns how your web application works and generates a custom walkthrough whenever a user needs help. When a user gets stuck, Andoria can step in, and show them exactly what to do by performing such actions.\n\n### **Problem**\n\n* Today, AI customer support solutions only give back text responses\n* Most companies today put the burden of learning how to use their software on the user, whether it be through documentation, video tutorials, or simply leaving them to learn by themselves. Help happens out of the platform\n* People don’t know how to use the software → they don’t get value or use the software wrongly → churn\n\n### **Solution**\n\n* Imagine giving each one of your users their dedicated user assistant that can show them how to use the application whenever they need help\n* Our AI agent learns how your web application works, gathers data about your user (e.g. background, goal), and generates the right custom walkthrough based on their goal\n* The best part: setup is only pasting a script tag into your HTML & Andoria takes it from there\n\n### **Asks**\n\n* If you’re interested in setting up Andoria for your users, feel free to schedule a call with us [here](https://andoria.ai/)\n* Warm intros to customer success + support teams who are looking to go beyond text-based chatbots\n\n### **Our Team**\n\n[Daryl](https://www.linkedin.com/in/dbudiman/) and [Anirudh](https://www.linkedin.com/in/anirudh-ramprasad-7aa7b8215/) were part of the early team at MultiOn (backed by General Catalyst and Amazon) where we built autonomous AI web agents that can interact with your browser. We scaled the business to a $XXXM valuation in under 9 months. We previously designed and built agentic systems and interfaces at Amazon & Actively AI.\n\n![uploaded image](/media/?type=post&id=85184&key=user_uploads/1079966/da263644-0bbf-45fc-b5f2-abeea65084cf)\n\n",
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        "title": "Riveter - Turn any prompt into a fully enriched dataset",
        "tagline": "The web has the data you need. We build the list.",
        "body": "Hey everyone! 👋\n\nWe're Abby and Cody, co-founders of [Riveter](https://riveterhq.com/) (F24). We both did 5+ years at Gusto, followed by Middesk and Retool, and watched the same painful problem play out across eng, data, ops, and growth teams: the information you need exists online, but getting it into a structured, usable dataset is brutally hard.\n\n**TL;DR: Write a prompt. Riveter builds the list and enriches it -- scraped live from the web. No stale databases, no stitching tools together.**\n\nTeams at OpenAI, Snap, and Fermat are already using Riveter to build datasets they couldn't justify building manually.\n\n**Ask:** We'd love to show you what Riveter can do for your use case. [Book 20 minutes with us](https://riveterhq.com/demo) and we'll give you 1,000 free credits to explore the platform.\n\n<https://youtu.be/KH0IELrOtLs>\n\n---\n\n**❌ The Problem**\n\nAlmost any list you could ever need can be derived from the web. Every law firm in California. Every vet practice by state. Every competitor's pricing page. The information is out there.\n\nThe problem is getting it out.\n\nCurrent options all hit the same wall:\n\n* **Data vendors** sell you records from a static index -- outdated the moment you buy them, and missing anything outside their database\n* **Clay and Parallel** pull from the same stale indexes. When we asked both to return all YC Winter 2026 companies, Parallel returned an incomplete dataset at a way higher cost. Clay returned \"Y Combinator\" as a company, along with results from other batches.\n* **ChatGPT and Claude** can reason about the web but can't handle the scale -- you can't ask an LLM to return thousands of enriched records reliably\n\nThe result: teams buy incomplete data, spend weeks building it manually, or go without.\n\n---\n\n**✅ Our Solution**\n\nRiveter agents navigate the web the way a researcher would -- running searches, visiting pages, reading results -- and return a fully structured, enriched dataset.\n\nWrite one prompt. Get thousands of rows.\n\n![uploaded image](/media/?type=post&id=99741&key=user_uploads/2203245/0293cc39-8404-4d03-bf11-2da4ad628033)\n\n\\\nDescribe what you want: _\"Return every dental practice in San Francisco, the dentists at each practice, and their contact details\"_\n\n1. Riveter agents search the web, visit pages, and compile the list -- live, not from a cached index\n2. Custom enrichments get layered on: lead scores, pricing data, contact info, whatever your workflow needs\n3. The result lands as a structured dataset, ready to use or pipe into your existing tools\n\nNo code required. Use it in-app, via API, or through our MCP server.\n\n---\n\n**🔍 Use Cases**\n\n**Sales and lead generation:** Find hyper-specific lists no vendor has pre-built. Every locksmith in the US. Every independent law firm in California. Every vet practice by state. Add enrichments in Riveter to qualify, score, and route them into your outreach.\n\n**Product data:** School logos, all attorneys at every AmLaw 100 firm, every menu item at every restaurant chain in a market. If it's on the web, Riveter can build it.\n\n**Market intelligence:** Track competitors and their pricing on a daily or weekly cadence. Especially common for e-commerce teams who need to move fast when something shifts.\n\n---\n\n**🙏 Our Ask**\n\n* [**Book 20 minutes with us**](https://riveterhq.com/demo) - tell us what you're building and we'll set up your first dataset together, plus 1,000 free credits on us\n* **Try it yourself** at [riveterhq.com](http://riveterhq.com) - free to get started [in-app](https://auth.riveterhq.com/sign-up), [via API](https://docs.riveterhq.com/), or [MCP.](https://docs.riveterhq.com/#description/mcp-server)\n* **Know a team** paying too much for stale data or drowning in manual research? Send this their way.\n\n---\n\n**👋 The Team**\n\n**Abby Grills (CEO)** - Previously at Gusto and Middesk across product and data workflows. Riveter is the tool she kept wishing existed.\n\n**Cody Watters (CTO)** - Previously at Gusto and Retool. Watched too much engineering time disappear into one-off data pipelines that should have been solved at the platform level.\n\nWe built Riveter because we kept hitting the same wall: the data we needed was obviously on the web, and there was no good way to get it out at scale.",
        "url": "https://www.ycombinator.com/launches/Pwj-riveter-turn-any-prompt-into-a-fully-enriched-dataset",
        "votes": 22,
        "created_at": "2026-04-14T17:34:17.075Z"
      },
      {
        "id": 94809,
        "title": "🚀 Riveter API: Replace your entire scraper infrastructure with a single API",
        "tagline": "Power your product with real data from the web.",
        "body": "We’re excited to launch our most requested feature: the **Riveter API**.\n\nWeb data is one of the biggest unlocks for what’s now possible with AI. But retrieving and structuring that data for your product or agents is far more complicated than it should be.\n\n---\n\n### **The Problem**\n\nYou need data from the web to equip your agents with more information or pipe structured data directly into your product.\n\nBut when it comes to web scraping, the gap between _idea_ and _working solution_ is huge.\n\n* What starts as **“just a simple scraper” often turns into a patchwork of 5+ vendors** (SERP providers, proxy networks, headless browsers, scraper libraries, and infrastructure) leading to weeks or months of engineering effort.\n* Timelines creep, **engineering costs rise, and maintaining scrapers becomes an ongoing burden**. All of this distracts your team from building your _core product._\n\nhttps://youtu.be/1pFXQJExRGw\n\n---\n\n### **The Solution**\n\n**Riveter** is the all-in-one web search agent. Configuration is simple — your team defines what data they need, and Riveter handles everything else.\n\n* **Prompt-based configuration, tool selection, and custom formatting.** Tell Riveter what you need via a prompt, then select tools like web search, scraper, PDF reader, or image reader.\n* **Everything built in.** SERP/search, proprietary scrapers, proxy management, and browser infrastructure are fully integrated, so you don’t have to build or connect multiple systems.\n* **Structured, consistent output.** Apply custom tags or enums, specify date formats, or define JSON objects to get clean, predictable results every time.\n\nThe API routes data directly into your app — giving you real, grounded web data with minimal engineering overhead.\n\n### **How It Works**\n\nYou can either **create a project in Riveter** to reference in your API request, or **configure all input and output fields directly in the API call.**\n\n#### **Option 1: Creating an API request from a Riveter project**\n\nCreating a project allows you to test and refine prompts and formatting before fetching data via the API.\n\n**Best for:**\n\n* Running recurring or long-term data collection\n* Quickly testing and iterating on prompts and tools\n* Structuring data that needs to be ingested by code\n\n#### **Option 2: Configuring input/output fields directly in the API request**\n\nOn-the-fly configuration gives you the flexibility to change columns and prompts dynamically based on your inputs.\n\n**Best for:**\n\n* Giving AI agents access to create their own Riveter requests\n* Handling variable outputs - e.g., running an initial request with Riveter, then defining attributes to evaluate your product or dataset on\n\n### **Getting Started**\n\nWe can’t wait to see what you build with Riveter!\n\nHead to[ ](https://riveterhq.com?utm_source=chatgpt.com)[**riveterhq.com**](http://riveterhq.com) and click **Get Started** — your first 500 searches are free!\n\nNeed a hand?[ Grab time here](https://riveterhq.com/contact?utm_source=chatgpt.com) and we’ll help you get set up.",
        "url": "https://www.ycombinator.com/launches/OfB-riveter-api-replace-your-entire-scraper-infrastructure-with-a-single-api",
        "votes": 14,
        "created_at": "2025-10-21T20:14:19.297Z"
      },
      {
        "id": 93370,
        "title": "Riveter ⚡ Thousands of AI search agents running in parallel",
        "tagline": "Riveter automates web research for every row in your spreadsheet with just a prompt.",
        "body": "We built Riveter because manual research sucks. And the slow, tedious process of collecting information from the internet takes people’s time away from doing great work.\n\n# **Why Riveter is great:**\n\n* We **simplified browser use to allow cheap web crawling** to be done at scale. \n* Our agent can make Google searches, view web pages, read PDFs and images, and **navigate to other pages** that might have better results. \n* It’s fast.\n* We give you sources, reasoning, and a record of the path the agent took to find the answer.\n* You’ll start seeing results within minutes of signing up.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n#### https://youtu.be/oNSfKnLv-s4\n\n# **Why it matters:**\n\nMost teams still spend hours (or hire UpWorkers/contractors) to manually copy product specs, check competitor pricing, pull custom KYB/KYC data to assess customer risk, or scrape filings. \n\nPerplexity and ChatGPT are great for single questions, but they can’t handle large amounts of data at once. And they’re working with a single agent and context window instead of one in every cell.\n\nAnd Riveter’s web browsing can go further—even reading PDFs and images that may contain answers. \n\nWith Riveter, anyone can automate complex, auditable web research… without coding. \n\n#### \n\n# **How it works:**\n\n1. Upload your dataset (or prompt for Riveter to search & build you a dataset)\n2. Add a prompt for the new column\n3. Riveter’s agents search, navigate sites, read PDFs/images, and return structured outputs — with sources and reasoning for every cell.\n\n# **Traction:**\n\n* **2M+ searches automated** across customers\n* **Snap and Pietra** use Riveter for data that powers core product features\n* **Sunco** automated most of their product development research and supplier sourcing\n\n# **Who uses Riveter:**\n\n* **E-commerce:** Product specs, pricing, retailer research\n* **Sales/GTM:** Lead enrichment, market research, prospect discovery\n* **Finance:** Revenue announcements, SEC filings, fundraising data\n* **Risk/Compliance:** KYC/KYB checks, ownership verification, negative news screening\n* **Procurement:** Supplier research, competitive analysis\n\n# **About us:**\n\nCody Watters (Staff Engineer at Gusto → AI products at Retool) and Abby Grills (Mid-Market Payroll lead at Gusto → Product at Middesk) have a combined 20 years of experience building complex data systems.\n\n### **Try Riveter**\n\n**Free trial:** https://riveterhq.com\n\n**Book a demo:** https://riveterhq.com/contact\n\nIf your team does repetitive web research or builds fragile scrapers, we'd love your feedback on workflow templates and integrations.\n\n![uploaded image](/media/?type=post&id=93370&key=user_uploads/2203245/f392ac8e-5d55-405f-8d74-e8b7128f7633)\n\n---",
        "url": "https://www.ycombinator.com/launches/OHy-riveter-thousands-of-ai-search-agents-running-in-parallel",
        "votes": 45,
        "created_at": "2025-08-27T20:15:28.319Z"
      },
      {
        "id": 87785,
        "title": "Riveter - AI data assistant for spreadsheets",
        "tagline": "Clean, label, and enrich thousands of rows of data in minutes with ChatGPT-like prompts",
        "body": "#### TL;DR ✨\n\nWith [Riveter](https://www.riveterhq.com/), you can automate data analysis in minutes—no complex setup needed. Just upload a spreadsheet, and Riveter handles the rest. ⚡\n\n✅ Search the web for answers\\\n✅ Clean & structure messy data\\\n✅ Label & categorize data instantly\\\n✅ Answer qualitative questions\n\nProduct, Ops, and GTM teams use Riveter for competitive research, pricing analysis, customer insights, analyzing channel partners, and more.\n\n<https://youtu.be/sJ4AcwTjzqo>\n\n#### The Problem: ⏰ Time wasted on manual data work\n\nCompanies spend countless hours on manual data work. Marketing teams spend $10k+ on incomplete datasets. Ops teams wait months for engineering support to build features that reduce manual data work. While ChatGPT helps with single queries, it breaks down with large datasets (and typically can’t make it past \\~10 rows). \n\nWe've seen teams spend:\n\n* 10+ hours/month on competitive research and market/pricing analysis–especially in consumer goods\n* 40+ hours per conference or event cleaning attendee data\n* Months waiting for engineering resources to analyze user segments\n\n#### The Solution: 🤖 Automate your data workflows in minutes\n\nRiveter brings AI-powered data enrichment to your spreadsheets. Upload any CSV and use natural language prompts to:\n\n**Enrich Data with Web Search** - Write \"find the industry for each company\" and Riveter automatically searches the web to fill new columns with accurate data.\n\n**Clean & Structure Data** - Transform messy data into consistent formats without complex Excel formulas. Simply describe what you need: \"Check the spelling and formatting of each company name. Return the correct spelling and format.\"\n\n**Analyze & Label at Scale** - Process thousands of rows in minutes. Label customer feedback, categorize products, or analyze competitors' features using natural language prompts.\n\n![uploaded image](/media/?type=post&id=87785&key=user_uploads/2203245/b36b88c9-51e4-4cfd-b66f-bb9ae3331ad2)\n\n#### Why Customers Choose Riveter 👩🏻‍💻\n\n* No technical setup or engineering required\n* Handles 200,000+ rows of data\n* Automated web search \n* Results in minutes, not days\n* Extremely easy to use\n\n#### About Us 📖\n\nWe’re **former engineers and PMs from Airbnb, Gusto, and Middesk.** We built Riveter because we were tired of:\n\n🔍 Manually labeling data to build fraud & risk products\\\n📝 Labeling endless user feedback\\\n📊 Analyzing competitors’ products—manually\n\nWe now use Riveter daily for tasks like sales, competitive analysis, and conference prep—and we’re excited for you to experience it, too.\n\n#### Get Started 🚀\n\nReady to streamline your data workflow? [Schedule a demo](https://cal.com/team/riveter/riveter-demo) to start your **free trial!**",
        "url": "https://www.ycombinator.com/launches/Mpt-riveter-ai-data-assistant-for-spreadsheets",
        "votes": 32,
        "created_at": "2025-02-18T19:34:00.724Z"
      },
      {
        "id": 85462,
        "title": "Riveter 🔩 The copilot for corporate strategy",
        "tagline": "Skip McKinsey - get expert analysis without the consultants.",
        "body": "**TL;DR:** Riveter is the copilot for corporate strategy. We help growth stage companies like Gusto accelerate strategic decision making, using deep market research and analysis. \n\n#### About us\n\nAbby has 10 years of product experience, including Middesk and Gusto, where she was an early PM and led the Mid-Market Payroll team. Erica has 7 years of experience as a software engineer. She was an early engineer at Middesk, and before that, she was at Airbnb.\\\nWe’ve spent our careers exploring and executing on new product areas and expansion opportunities, and trying to optimize businesses’ results. **We’re building Riveter to help companies make better strategic decisions, faster.**\n\n<https://youtu.be/thmATCmTy5g>\n\n#### The problem\n\nGrowth stage, venture funded companies have two top concerns:\n\n1. How do we maintain growth at scale?\n2. Do our metrics align with public companies for a successful IPO?\n\nTo answer these questions, companies often do the following:\n\n* **Explore adjacent areas for expansion:** A commercial neobank might consider expanding to consumer\n* **Benchmark to similar companies:** Toast might compare their financials to Square's\n* **Track their market share:** A CRM might monitor competitors’ penetration across the market\n\n#### Our insights\n\n* Companies are hiring consulting firms that cost $1M+ and take months to provide a single report, which quickly becomes outdated.\n* Accessing key insights into public companies requires time consuming analysis due to inconsistencies across companies and obfuscation of important information.\n\n#### The solution\n\nRiveter automates the collection and analysis of private and public company data, **so you can focus on making the right strategic decisions, faster.** \n\n#### The product\n\n**The deepest analysis of public companies available**\n\nGet the data you wish Capital IQ gave you.\n\n* Get data on the usage of specific products, customer counts, retention, and more, in addition to standard metrics\n* Review metrics like gross margins, ACV, customer segment, CAC, CAC payback, Rule of 40, and more that have been automatically calculated for you, and are always up to date\n* Understand company-specific language and segmentation\n\n \n\n![uploaded image](/media/?type=post&id=85462&key=user_uploads/2203245/c283cf5c-4abf-471a-b8c3-b296996a768b)\n\n**Analysis of investor relations documents** \n\nRiveter summarizes key documents and artifacts, and extracts relevant quotes to save you time getting to the information you need.\n\n![uploaded image](/media/?type=post&id=85462&key=user_uploads/2203245/cd59d464-0ec8-436b-a2aa-0a60e031d077)\n\n\n**Search company documents and Riveter data**\n\nLooking to understand how a certain product is performing? Our AI analyst, Peter, allows you to ask specific questions, like how many American Express consumer cardholders there are.\n\n### Our ask\n\nAre you trying to make strategic decisions, but you or your team don’t have the time to perform in-depth analyses? We’d love to help. [Schedule a call with us](https://calendly.com/d/cmp9-ymp-zsy/riveter-demo-launch-yc) to discuss how we can aid in more informed decision making. You can reach out to us at [founders@riveterhq.com](mailto:founders@riveterhq.com).\n\nIf you have connections to any CorpDev or Strategic Finance teams in B2B SaaS, we’d love introductions to learn from them, or see if we can help. ",
        "url": "https://www.ycombinator.com/launches/MEQ-riveter-the-copilot-for-corporate-strategy",
        "votes": 220,
        "created_at": "2024-11-11T20:42:33.180Z"
      }
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    "name": "Galini",
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Galini guardrails-as-a-service filter harmful inputs and outputs based on company policies and industry regulations. We make it easy for enterprises to create, test, deploy and refine guardrails.\r\nWith Galini, product and engineering leaders enjoy peace of mind knowing their AI apps are compliant at run-time, and save $1-10M in costs from avoiding in-house build",
    "one_liner": "Compliance guardrails-as-a-service for AI applications",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1730260242,
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    "url": "https://www.ycombinator.com/companies/galini",
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    "city": "San Francisco",
    "country": "US",
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      "url": "https://www.ycombinator.com/people/diana-hu"
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        "full_name": "Shaun Ayrton",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO of Galini. Prior to Galini, Shaun was a sr. engagement manager at McKinsey where he drove $500M+ revenue growth for F50 software and telecom companies. He developed the GTM plan from pre launch to $1B in revenue for a conversational AI leader and drove an additional $50M in annual revenue for a regional telco while the industry is declining at 3%, each acquired for ~$20B. He has an MBA from Wharton and a dual degree in computer science and Finance at UPenn (M&T)",
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        "full_name": "Raul Zablah",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO of Galini. Prior to Galini, Raul was a sr. staff engineer at Ridgeline where he built the SRE team from 0 to 10 supporting 10x customer growth in 12 months (reporting to the CTO for a 350 engineer org). Before this, he was the tech lead for the SRE team responsible for $175B AUM investment engine at Bridgewater where he built the team from 0 to 6 and established SRE best practices for an org of 300 engineers. He has a masters in computer science and dual degree from UPenn",
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      {
        "id": 85206,
        "title": "Galini - Compliance guardrails for AI applications",
        "tagline": "Ensure AI applications comply with company policies and regulation",
        "body": "Hey everyone, we’re [Shaun](http://www.linkedin.com/in/shaun-ayrton) and [Raul](https://www.linkedin.com/in/raulzablah/) - cofounders of Galini.\n\n# TL;DR\n\nGalini guardrails filter harmful inputs and outputs based on company policies and industry regulations. We make it easy for companies to create, evaluate, deploy and monitor guardrails.\n\nWith Galini, product and engineering leaders enjoy peace of mind knowing their AI apps are compliant at run-time, and save $1-10M from avoiding an in-house build.\n\n**Ask:** If you are building or using AI applications, let us take run-time compliance off your plate. Email [founders@galini.ai](mailto:founders@galini.ai) or please refer us to others who may need this.\n\nWatch our demo [here](https://youtu.be/2luqEuXK-34)\n\n# ❌ The Problem:\n\nCompliance and trust are major barriers to scaling AI, with [one in two executives fearing reputational damage.](https://www.complianceweek.com/surveys-and-benchmarking/deloitte-survey-ai-adoption-raising-concerns-about-trust-reputational-damage-ethics/35411.article)\n\n**Ignoring the problem does not make it go away:** A staggering [44% of organizations](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) have reported negative consequences from using AI chatbots and assistants.\n\n**The cost of non-compliance is rising:** Fines of [7% annual revenues (or 35M EUR)](https://artificialintelligenceact.eu/article/99/#:~:text=Non%2Dcompliance%20with%20the%20prohibition,financial%20year%2C%20whichever%20is%20higher.) for non-compliance with EU AI Act; [similar regulations are fast approaching in the US.](https://www.cnet.com/tech/services-and-software/biden-administration-wants-ai-guardrails-heres-its-call-to-action/)\n\n**Companies are not ready:** Only 6% feel ready to accommodate these changes, while [80% are committing](https://www.accenture.com/us-en/insights/artificial-intelligence/ai-compliance-competitive-advantage) 10%+ of their AI budgets to compliance.\n\n![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/45bf4fb3-686e-4532-baf9-c53860dcc7dd)\n\n# ✅ Use cases:\n\nMost customer- or employee-facing AI applications require guardrails:\n\n* **Search:** Block non-compliant queries and prevent exposing sensitive or proprietary information to users.\n* **Chatbots:** Ensure responses are accurate and compliant with company policies.\n* **Assistants:** Stop misleading advice in violation with company policies that could cause negative PR or legal risks.\n* **Agents**: Control scope and prevent unauthorized actions or transactions.\n* **Recommendation engines**: Filter outputs to avoid biased, irrelevant or offensive suggestions that damage brand trust.\n* **Decisioning systems**: Ensure automated decisions (e.g., loan approvals, hiring) meet regulatory standards and prevent discriminatory outcomes.\n\nNo enterprise-grade guardrail solutions exist today. Companies **incur $1-10M+ in costs annually** **and 6-12 months in delays** building guardrails in-house.\n\n# 🎯 The Solution: Galini to the rescue\n\n**Galini’s guardrail as-a-service** enforces runtime compliance with four core modules:\n\n1. **Build** custom guardrails based on your company’ policies\n\n   ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/f5e3d2be-886f-4484-88e5-77111e897e12)\n\n2. **Evaluate** your guardrails using Galini’s synthetic test generator and evaluation engine\n\n   ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/d28cc55e-38e2-404b-a4bb-5bd58c55eba8)\n\n3. **Deploy** into your app in seconds with our API\n\n   ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/11fdf98c-af88-4e65-a58a-329b974a0634)\n\n4. **Monitor** and improve performance by providing feedback to Galini’s agent\n\n   ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/449d0e40-e5f7-4475-aa95-11b9c48bc04f)\n\n\n# 🙏 Our ask:\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/galini-ai/), and [book a demo](https://www.galini.ai/get-started) with our team\n* **Share this post!** Do you know product and engineering leaders in regulated industries like finance, healthcare, education and public safety? Please share this post; we’ll save them 1000+ hours in dev costs and many sleepless nights!\n* Learn more at [Galini.ai](http://Galini.ai) Please reach out to [founders@galini.ai](mailto:founders@galini.ai)\n\n# 🤝 The team:\n\n[Shaun Ayrton](http://www.linkedin.com/in/shaun-ayrton) (CEO) – A former McKinsey leader, Shaun drove $500M+ in revenue acceleration at leading global software and telecom clients. He witnessed firsthand how companies struggle to manage the risks of AI deployment.\n\n[Raul Zablah](https://www.linkedin.com/in/raulzablah/) (CTO) - As a former senior staff engineer, Raul has built and scaled industry-leading enterprise platforms at Bridgewater, Morgan Stanley and Ridgeline and has published papers in the field. His specialization is SRE and making technology work securely and reliably at enterprise scale.\n\nShaun and Raul met on their first day at UPenn’s M&T program in 2011 and have been dear friends since.\n\n![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/d3560988-4030-4c4c-a92b-a2df234d429d)\n\n",
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        "id": 85963,
        "title": "telli ☎️ outbound call automation for B2C companies",
        "tagline": "AI voice agents that convert leads into sales opportunities for B2C companies",
        "body": "# **TL;DR**\n\nHi all! we are [**Seb**](https://www.linkedin.com/in/sebhs/) (CTO), [**Finn**](https://www.linkedin.com/in/finnzurmuehlen/) (CEO), and [**Philipp**](https://www.linkedin.com/in/philipp-baumanns-a2986ab9/) (COO), building [**telli.com**](http://telli.com).\n\ntelli is building AI voice agents that convert leads into sales opportunities for B2C companies. For example, a leading home-buying platform is using telli to fully automate their pre-qualification.\n\n# **Problem**\n\nCompanies that sell complex products (e.g.  solar panels, mortgages, insurance) use warm outbound calls to drive sales conversion. Sales journeys with outbound calls perform MUCH better than online-only journeys!\n\nHowever, managing these calls has been complex and expensive:\n\n* Companies reach <50% of their warm leads on the phone\n* No quantitative insight into what drives conversion/revenue from calls\n* High cost (\\~55 USD per connected call hour)\n\n# **Solution**\n\n<https://youtu.be/7xjIwZf37-M>\n\ntelli is building the AI call automation platform for B2C companies. telli lets businesses:\n\n✔️ reach leads with a smart calling strategy and multi-modal approach (SMS)\n\n✔️ make human-like calls in multiple languages\n\n✔️ achieve clear outcomes like qualification, booking appointments, or direct transfers\n\n✔️ understand what’s going on in calls at scale\n\n# **Team**\n\n[**Philipp**](https://www.linkedin.com/in/philipp-baumanns-a2986ab9/) (COO), [**Seb**](https://www.linkedin.com/in/sebhs/) (CTO), [**Finn**](https://www.linkedin.com/in/finnzurmuehlen/) (CEO)\n\nFinn & Philipp ran the contact center operations for Enpal’s ($2.4bn energy installer in Europe) heat pump unit. Seb studied computer CS at Stanford and built software at Pitch.\n\n# **Interested?**\n\n* Book a call [here](https://cal.com/telli.ai/intro?date=2024-12-05&month=2024-12)\n* Reach out directly to [philipp@telli.so](mailto:philipp@telli.so)\n\n![uploaded image](/media/?type=post&id=85963&key=user_uploads/1162937/e2a415c8-42a1-42fc-b2e0-42406590e0d1)\n\n",
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        "body": "![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/9538013b-cac8-43e5-aaf4-63b7ae51f9ac)\n\nSymphony is a conversational AI recruiter that helps companies hire customer-facing roles, all while giving candidates a more enjoyable and supportive experience in the recruiting process. We free up 80% of recruiters' time and see time-to-fill drop to as low as 2 days, which avoids costly downtime.\n\n<https://www.youtube.com/watch?v=A6dJYCylNiY>\n\n### **Problem**\n\n# **Recruiters are drowning. Candidates aren’t happy.**\n\nRecruiters / Talent acquisition managers have a mountain of admin/screening work to find the right talent quickly. They often get 100s or 1,000s of (mostly irrelevant) applications for each job opening.\n\nWhen recruiters are drowning, quality, experience, and speed suffer. Lack of quality talent can cause downtime and lost revenue. Candidates suffer because they lack transparency & speed, leading to a poor candidate experience.\n\n### \n\n### **Opportunity**\n\n# **Customer-facing roles are the most underserved**\n\nOur focus is on customer-facing roles (anyone that interacts with customers). This covers roles ranging from CSRs, customer success managers, and sales associates to healthcare professionals and maintenance & repair staff. They need a mix of technical knowledge, communication skills, and EQ to be effective in their roles, which today is assessed purely by humans in an HR pre-screen. This is the most underserved sector in the recruiting space, bogged down by antiquated tools and manual admin work. They’re also the largest population of workers, making up 60% of jobs or \\~100M people.\n\n### \n\n### **Solution**\n\n# **Automate the recruiting process and free up valuable time**\n\nWe evaluate all inbound applications against the custom criteria for the role to surface the best matches. Our AI interviewer, Eve, then conducts live voice screening calls with top candidates - saving recruiters from spending their time on initial screens while removing human bias from the process. These 15-20 minute conversations bring resumes to life, highlighting important traits like communication skills and EQ (both of which are critical for customer-facing roles).\n\n![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/ccfdae7e-945d-4512-b9f7-fad2301f073f)\n\nCandidates tell us they feel more comfortable talking with our voice AI interviewer than humans. They are less nervous and can more openly share their experiences.\n\nSymphony then handles all needed admin work, coordinating with hiring managers and candidates to schedule the next interview.\n\n![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/a2856a65-43b8-4d1c-9092-d99864160261)\n\nWe integrate with all major ATS systems to make it easy for our customers to get started with us.\n\n### \n\n### **About the founders**\n\n![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/8f98c53a-2cbd-4f49-8802-d6b53c3132cd)\n\nWe first met when Murtaza was Shobhit’s RA freshman year at Georgia Tech (go Jackets!). We’ve been friends for over 10 years and grew up just a few miles away from each other in Georgia.\n\nWe left our startup jobs about a year ago. Murtaza was VP of growth at Tractable (high-growth Series E computer vision startup) and EM at McKinsey. Shobhit was a tech lead at Valon (Series B mortgage fintech).\n\nWe both felt firsthand how recruiting was broken. After we researched the space more, we learned about the massive problems roles recruiting teams, especially for customer-facing roles.\n\n### **Reach out!**\n\nIf you’re interested in driving a better candidate experience, hiring better talent faster, all with fewer resources - let us know! We’d love to chat :).\n\n**Murtaza** - [murtaza@getsymphony.co](mailto:murtaza@getsymphony.co)\n\n**Shobhit** - [shobhit@getsymphony.co](mailto:shobhit@getsymphony.co)",
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        "body": "# **TL;DR**\n\nGait is the open-source collaboration layer for AI codegen. With gait, developers can view the prompts that generated a piece of code, continue off of coworker's conversations, and view analytics on AI codegen use. Watch our demo [here](https://youtu.be/GcQMSbYBS28) (1:35)\n\n# **The Problems**\n\nAI codegen tools are built for individuals, not teams, and code is read more than it is written. Increasingly, understanding and editing become the limiting factors in a team’s velocity, not generation.\n\n🧐 AI-generated code is hard to understand\n\n* We use Cursor to ship quickly, but AI diffs are often destructive, large, and opaque. **Prompts serve as automatic documentation.**\n\n📈 It’s hard to understand AI’s impact on your codebase\n\n* gait is the first layer of observability, giving oversight into your and your team’s use of AI and its impact on productivity.\n\n# **Our Solution**\n\n**Code annotations** - Have you ever been confused by a block of AI-generated code? Hover over any piece of AI-generated code to see the prompts that created it. It’s like a better git blame. Coming soon: Github integration.\n\n![uploaded image](/media/?type=post&id=84753&key=user_uploads/2250609/9c4f6b1e-7e49-46bb-9d80-f1adcd4e2101)\n\n**Analytics on your AI Codegen -** Use gait to analyse and understand your AI codegen usage. Find out your stats here: <https://getgait.com/getting-started>\n\n![uploaded image](/media/?type=post&id=84753&key=user_uploads/2250609/3ef7f787-3fc8-4d90-b605-057da669ed7e)\n\n**Manage chats like diffs** - choose which chats you’d like to include with git-like semantics. Stage and unstage chats, and view the chats associated with a commit or a PR. \n\n![uploaded image](/media/?type=post&id=84753&key=user_uploads/2250609/05602727-387c-4be5-b162-e336ebdec8fb)\n\n# **Our vision**\n\nAI coding assistants are single-player right now and focus only on generating new code. **AI coding tools produce flashy demos and v0s but are not as helpful for coding in production**. We want to improve collaboration and the entire software lifecycle: not just generating code but also reviewing and editing it. \n\nWe also want to redefine the code repository - what would your repo look like if it were designed for AI? We think this means incorporating all the context AI needs to make edits. This includes your prompts right now, but imagine your SWE agent making edits with automatic access to design docs, Jira tickets, and API specs. \n\n# **The Team**\n\nHi everyone! We’re [Alex](https://www.linkedin.com/in/ahsia/) and [Kyle](https://www.linkedin.com/in/kyleli626/), the cofounders of gait.\n\nWe’re CMU and Columbia dropouts who met this summer while working at Jane Street. We’ve also worked at Stripe (Kyle) and Mercury (Alex). \n\nKyle’s looking for a squash partner, and you can find Alex at the 3rd Street Boxing Gym.  \n\n![uploaded image](/media/?type=post&id=84753&key=user_uploads/2250609/9d203bd8-4685-431f-af13-31a9c6adec53)\n\n# **Our ask**\n\n**Try us out!** \n\nSearch “gait” in the extension marketplace. Click install.\n\nStart coding, and gait will capture your chats automatically!\n\n**Keep in touch!** \n\nIf you’re building a coding assistant or AI agent, we’d love to integrate with you. Please reach out! \n\nIf you manage a team of engineers and think this could be helpful, let’s talk! If you have any questions or feedback or want to just talk shop, we’d love to hear from you.\n\nFor more information: [getgait.com](https://getgait.com)\n\nEmail us at [founders@getgait.com](mailto:founders@getgait.com). \n\nJoin our discord: <https://discord.gg/yKvt3mWyM4>\n\nContribute to gait: <https://github.com/gait-ai/gait>",
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        "founder_bio": "At Getcho, I’m building software for streamlining and managing last-mile delivery at scale. I was previously Head of Product at K-Optional Software, where I oversaw the development of dozens of custom software products, including two that were acquired.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mike-considine-700172164",
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      },
      {
        "user_id": 2249812,
        "full_name": "Evandro Nadal",
        "title": "Founder/COO",
        "founder_bio": "At Getcho, I’ve overseen thousands of deliveries and worked closely with customers to understand their workflows, improve processes, and ensure smooth operations. Previously, I co-founded K-Optional, a software consultancy specializing in logistics platforms. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evandronadal/",
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 85363,
        "title": "Getcho - a local-delivery platform for high-value retail",
        "tagline": "Getcho: the local retail delivery platform for high-value products",
        "body": "We're [Evandro](https://www.linkedin.com/in/evandronadal), [Jack](https://www.linkedin.com/in/johnpconsidine/), and [Mike,](https://github.com/consofine) and we're building Getcho, a local retail delivery platform for high-value products. Getcho runs on top of third-party fleets, delivering $250,000 of merchandise per month.\n\n## The problem\n\nMerchants have embraced local / on-demand delivery—it boosts sales with urgent shoppers and is cheap, thanks to mega-fleets like DoorDash, Roadie, and Uber. But locally delivered packages are lost, misdelivered, or returned up to 10% of the time; some retail locations spend thousands of dollars each day replacing lost packages.\n\n## The solution\n\nGetcho prevents 95% of failed local deliveries. This saves merchants the costs associated with shipping replacements and, just as important, improves customers' perception of the merchant's brand.\n\nBy flagging GPS irregularities, using AI-assisted calls and texts to guide drivers at pick-up & drop-off, and scheduling around customer availability, Getcho ensures seamless and reliable deliveries.\n\n## Demo\n\n<https://www.youtube.com/watch?v=GFxJq_xekfI>\n\n## About us\n\nJack and Evandro (\"Dro\") met in college. They started a software development firm called K-Optional that they ran for seven years. Mike, Jack's brother, joined K-Optional in 2021.\n\nThere they built logistics products that were acquired or continue to generate millions in revenue, including:\n\n* A [pig tracking](https://en.wikipedia.org/wiki/Pigging) platform that uses hardware and GPS data to check diagnostics on massive oil pipelines.\n* A scheduling platform in the catastrophe insurance space that maps claimants to appraisal locations.\n\nThey spun Getcho out of a curbside pick-up application and went all in once they had delivered a million dollars of merchandise.\n\n## Ask\n\nIf you or someone you know is in retail operations, we'd love to connect & chat.",
        "url": "https://www.ycombinator.com/launches/MCp-getcho-a-local-delivery-platform-for-high-value-retail",
        "votes": 44,
        "created_at": "2024-11-08T00:02:17.366Z"
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    "id": 30032,
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    "website": "https://darkgrade.com",
    "all_locations": "Denver, CO, USA",
    "long_description": "We're building a protocol for large language models to directly interface with image sensors.",
    "one_liner": "Let your camera understand the world",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1731328761,
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        "full_name": "Kevin Schaich",
        "title": "Founder/CEO",
        "founder_bio": "Let your camera understand the world with Darkgrade",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevinschaich/",
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    "id": 30033,
    "name": "Openbenchmarks",
    "slug": "openbenchmarks",
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    "website": "https://openbenchmarks.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Openbenchmarks runs open, independent benchmarks across APIs, vendors and tools. \r\nHelping teams fairly evaluate vendors.\r\n\r\nWe offer private benchmarking & analytics tools to help you measure your product against competitors, see exactly where you fall short, and fix it.",
    "one_liner": "We help humans & agents pick tools via Independent Benchmarks",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1728361776,
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    "stage": "Early",
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        "user_id": 858828,
        "full_name": "Fenil Suchak",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Openbenchmarks - to help customers sell to Agents.\n\nPrev: Co-Founder at OpenFunnel - helped customers sell to Humans",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/fenilsuchak",
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        "user_id": 1631833,
        "full_name": "Aditya Lahiri",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Openbenchmarks\nPreviously, I built AI Agents for Leasing in PropTech, did Graduate Research on Controlled Generation of Large MultiModal Models and Shapley values, and helped build distributed large-scale Machine Learning Models at American Express AI Labs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adityalahiri",
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        "id": 95455,
        "title": "Founding Engineer (AI + Backend)",
        "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/j6hc4eQ-founding-engineer-ai-backend",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $120K",
        "equity_range": "0.30% - 0.80%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 108191,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/kIN6a4q-founding-gtm",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$30K - $37K",
        "equity_range": "0.20% - 0.60%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 109689,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/gqlxWMe-founding-gtm",
        "location": "US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.20% - 0.60%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
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    ],
    "news": [
      {
        "title": "How Reasoning Models Are Killing Traditional Search",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/07/02/how-reasoning-models-are-killing-traditional-search-and-why-thats-great-news/?utm_campaign=Social%20Member%20Articles&utm_content=337302161&utm_medium=social&utm_source=twitter&hss_channel=tw-3291010518",
        "date": "Jul 06, 2025"
      },
      {
        "title": "The Internet Is Your Database: How Research Agents Are Changing GTM",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/06/20/the-internet-is-your-database-how-research-agents-are-changing-gtm-forever/",
        "date": "Jun 20, 2025"
      },
      {
        "title": "From SaaS To RaaS: How AI Agents Are Redefining Software",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/04/23/from-saas-to-raas-how-ai-agents-are-redefining-software/",
        "date": "Apr 23, 2025"
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      {
        "id": 94200,
        "title": "OpenFunnel: Search Engine for GTM",
        "tagline": "We monitor your TAM and surface companies when custom triggers fire.",
        "body": "### The Problem:\n\n**GTM search is broken.**\n\n**LLMs over commoditized GTM Databases won’t fix it.**\n\nhttps://www.youtube.com/watch?v=W9OZ5_KJN5A\n\n**\"B2B SaaS, 501-1000 employees, uses Salesforce\"** is just targeted spam.\n\nNo insights. No buying signals. No understanding of pain. Plus, data for growing markets aren't even present in these databases.\n\nOne-time snapshots. No timing. No triggers when pain surfaces. Your competitors have the same database. Everyone's spamming the same channels.\n\nYou need 24×7 searches capturing insights as they happen - not after they're stale.\n\nTraditional Intent data is a blackbox and unreliable.\n\nOnly Inbound dependence is a reactive approach and prospects are already evaluating competitors by that time.\n\nOpenFunnel automates finding unique, timely insights that get you \"ins.\"\n\nWe unlock net new pipeline across GTM functions in Marketing, RevOps, SDRs, and BDRs that were unreachable before.\n\n### **ENTER OPENFUNNEL:**\n\nOpenFunnel is your search engine for inferred pain: you describe the activities that reveal potential pain-points, we find the companies with those pain points, identify the right people, and produce outreach-ready messaging.\n\n**Find companies WHERE Activity happening = \\[abc\\] AND TimeRange = \\[m..n months\\]**\n\nSome examples that you can search for:\n\n* Companies implementing usage-based billing in the past 3-6 months - then monitor daily for new ones\n* Companies moving from OpenAI to self-hosted Llama in the last 2 months - then track all ongoing migrations\n* Companies that are looking to build out their government facing sales motions - then surface all such build outs.\n* B2C fintechs attending RSAC Conference in Las Vegas\n\nLive search agents continuously monitor time-based activities and changes across your ICP that matter to your GTM.\n\n![uploaded image](/media/?type=post&id=94200&key=user_uploads/858828/07397e96-6b5e-4d21-a265-2961783af3bf)\n\n### **LIFE OF CUSTOMERS after Openfunnel:**\n\nGTM teams setup custom insights they want to search and monitor for, in natural language.\n\nOpenFunnel auto-surfaces new and existing accounts with deep actionable insights and sync to CRM, autonomously.\n\nWe work with the fastest-moving companies who understand the value of acting quick on insights - including Central, Mintlify, Everest Systems, Fini, and Numi.\n\nOur self-serve platform has 1000+ users.\n\n### **Why We're Building ThiS:**\n\nDuring F24 batch, we built GTM tools for developer-focused companies with zero knowledge of the GTM toolkit and stack.\n\nCustomers loved our first-principles approach - we built what we'd actually want: relevant outreach with real context at the right time.\n\nThen we discovered existing that GTM tools are built on flawed, pre-LLM assumptions and this generalizes across industries.\n\nGTM is timing, insights, and reasoning - exactly what LLMs excel at. As software shifts to agent-first, it becomes a search and discovery problem.\n\nTraditional indexing lacks the temporal + contextual depth for GTM.\n\nSo, we're building a time-aware search engine for GTM.\n\n### **🦄 COME Say hi:**\n\nAditya & Fenil were dorm mates at BITS Pilani & friends for 8 years.\n\nAditya built AI Agents at scale at Appfolio and Fenil built cloud-scale vector databases at Oracle.\n\nWe've talked to 200+ GTM teams across sizes, industries, and AI adoption levels.\n\nWe’ve embedded these insights deep into OpenFunnel.\n\nWe are in SF at 128 Kings St. next to Oracle Park. Need help with anything GTM? Come say hi.\n\n![uploaded image](/media/?type=post&id=94200&key=user_uploads/858828/074961ff-899f-4306-a87e-4498d6aa2dea)\n\n### **ASK:**\n\nJoin a 1000+ users already using pain-first search to discover their prospects!\n\nGet started for free at - [app.openfunnel.dev](http://app.openfunnel.dev) !\n\nWe also have a YC deal loved by customers, Book a time for a personalized walkthrough - https://deals.ycombinator.com/deals/2816",
        "url": "https://www.ycombinator.com/launches/OVM-openfunnel-search-engine-for-gtm",
        "votes": 29,
        "created_at": "2025-09-29T22:29:20.375Z"
      },
      {
        "id": 85119,
        "title": "OpenFunnel - GTM Agents for Developer Tools",
        "tagline": "Accelerate your Go-To-Market with a team of AI Agents.",
        "body": "We are [Fenil](https://linkedin.com/in/fenilsuchak) & [Aditya](https://www.linkedin.com/in/adityalahiri/) from [OpenFunnel](https://openfunnel.dev/), and we're building GTM Agents for Developer Tooling companies. Previously, we built 23ai Cloud DB at Oracle and Leasing AI Agents in PropTech. Before that, we were dorm mates during our undergrad.\n\n**The Problem**\n\nRunning GTM at a Developer Tooling company is challenging. It involves engaging the developer community, driving adoption, finding qualified leads that match your ideal customer profile (ICP), and researching company initiatives to determine where your dev tool fits in. These tasks require the skills of a salesperson, a developer, and a marketing expert.\n\n**Our Solution**\n\nOur Team of GTM Agents helps with this. We use our AI Agents that are fine-tuned to your industry, ICP, and products to support your entire GTM strategy.\n\nOur Enterprise Sales Research Agent provides Team Graphs & Developer Champions, including project details, company initiatives, and developer journeys. Weaviate is using this to close deals with Fortune 50 Enterprise Accounts.\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/f50196df-9c57-4a8e-8be8-65c46da2d41d)\n\nFor fast-moving startups, our Sales Research Agent helps high-growth YC dev tool companies like Greptile find qualified leads that match their ICP and need their products.\n\nOur Marketing Agent monitors developer channels, helping our YC batchmates like Alex (Cursor for Xcode) understand their developer community and effectively engage with it.\n\n[A Demo](https://youtu.be/n8QMtShty88)\n\n**Let’s Get Started - Join Us!**\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/f25f0761-7832-4aed-8e48-ac507bdcaab0)\n\nAccelerate your GTM - [Set up a call with us.](https://cal.com/team/openfunnel/demo) Our Agents are ready to get to work for you!\n\n**Bonus**\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/9bf1d2f3-cda7-4ac6-a926-981d6ea8b2ab)\n\nInterested in why we find GTM in Dev Tools exciting? [Read more here](https://openfunnel.dev/blog/how-why)!",
        "url": "https://www.ycombinator.com/launches/M8t-openfunnel-gtm-agents-for-developer-tools",
        "votes": 34,
        "created_at": "2024-10-29T19:45:23.390Z"
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    "id": 30036,
    "name": "Rulebase",
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    "website": "https://rulebase.co",
    "all_locations": "New York City, NY, USA",
    "long_description": "We run customer operations for regulated industries with AI. Our QA layer reviews every interaction, human and AI, cutting manual QA by 99%. On top of it sit specialist agents for onboarding, remediation, reactivation, and retention that own accounts from approved to transacting, chasing customers over WhatsApp, email, and SMS",
    "one_liner": "AI customer operations for regulated industries.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1728494886,
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/rulebase",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/rulebase.json",
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    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rulebasehq/",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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      {
        "user_id": 1371446,
        "full_name": "Gideon Ebose",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Rulebase. Previously Lead Product Designer at Gatherwell, where he guided the company from startup through its successful acquisition by Jumbo PLC. Later joined Microsoft, developing their virtual communication platform for hospitals. Combines 6+ years of product design experience with an Economics degree, bringing both business and technical expertise to enterprise software",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gideon-ebose-2a5187100",
        "x_url": "https://x.com/gideon_eb",
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      {
        "user_id": 1045560,
        "full_name": "Chidi Williams",
        "title": "Founder/CTO",
        "founder_bio": "Chidi, Co-founder & CTO at Rulebase, has over 7 years of experience. He built Buzz, an early open-source speech-to-text tool with >300k downloads and >12k GitHub stars. With experience building systems for Goldman Sachs' wealth management and Nigerian fintechs like Eyowo, he leverages his fintech and voice AI expertise to lead technology at Rulebase.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chidiwilliams/",
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      {
        "id": 100631,
        "title": "Founding GTM Lead",
        "url": "https://www.ycombinator.com/companies/rulebase/jobs/rGWeZBN-founding-gtm-lead",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$240K - $300K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Y Combinator-backed Rulebase wants to be the AI coworker for fintech | TechCrunch",
        "url": "https://techcrunch.com/2025/09/16/y-combinator-backed-rulebase-wants-to-be-the-ai-coworker-for-fintech",
        "date": "Sep 16, 2025"
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    ],
    "launches": [
      {
        "id": 89133,
        "title": "Beam - The real-time copilot for CX agents",
        "tagline": "Make your CX team bionic.",
        "body": "# **Hi YC,**\n\nI’m Gideon, co-founder of [Rulebase](https://rulebase.co/beam). Over the past 3 months, we’ve worked with CX and Ops teams from small 10-seat groups to global BPOs with over 100,000 agents studying how they operate and helping reduce average handle time (AHT) while staying compliant and reducing violations.\n\n# **The problem today**\n\nQA is a lagging indicator.\n\nLevel 2 and 3 CX agents manage the most complex issues but are forced to navigate multiple tools, chase missing context, and follow detailed processes from memory, live, under pressure. When mistakes happen, they’re often only caught in post-call QA reviews, long after the damage is done\n\nToday, we’re launching [Beam](https://rulebase.co/beam) the first CX copilot with perfect recall and real-time coaching, built to improve NPS, reduce AHT, and cut down compliance violations.\n\n<https://youtu.be/MaITmAAif4A>\n\n### Let me give you a typical scenario we see all the time:\n\nYou’re a fintech or work in a regulated industry. You’ve hired an offshore CX team say 50 agents and 5 QA specialists to make sure all your protocols are being followed and agents are being coached. Now over the last few months:\n\n* AHT has increased leading to you hiring more CX seats.\n* Compliance violations are rising from PCI breaches and you are facing more customer complaints.\n* Customer authentication has been skipped in some cases, leading to instances of fraud.\n* QA can’t manually review every call, and when issues are caught, it’s often days too late to fix them\n\n# **With Beam:**\n\n* Agents get real-time coaching on all protocols and compliance requirements\n* Violations are instantly flagged\n* Agents have perfect recall, including customer sentiment from past conversations\n* QA runs in real time, with auto-generated reports and continuous coaching\n* Fraud detection is built-in, blocking bad actors before they get through.\n\n\\\nIf any of the above sounds relevant to your team, we’re offering **YC companies their first 2 months free for up to 50 agents**. This includes full setup, mapping your protocols, and deploying Beam directly into your agent environment.\n\nInterested? Reach out here or book time on my [calendar](https://cal.com/gideonebose/30min), we’ll get you onboarded.",
        "url": "https://www.ycombinator.com/launches/NBd-beam-the-real-time-copilot-for-cx-agents",
        "votes": 10,
        "created_at": "2025-03-31T15:47:42.747Z"
      },
      {
        "id": 85277,
        "title": "Rulebase: The voice fraud defense system for financial services",
        "tagline": "We use AI to defend financial services against voice-based attacks like ATOs and voice phishing.",
        "body": "Hi everyone, We're [@Gideon](https://www.linkedin.com/in/gideonos/) and [Chidi](https://www.linkedin.com/in/chidiwilliams/), founders of Rulebase.\n\n### **Problem**\n\nVoice-based frauds are growing exponentially, there was a 700% increase in voice phishing and deepfake voices in 2024, largely driven by the reasons below.\n\n* Scammers are using voice clones for phishing, account takeovers, and identity theft. Deploying 1,000 voice agents costs less than $55.\n* Fraudulent calls extend Average handling time (AHT), leaving service teams overstretched and reducing support for genuine customers.\n* Voice phishing costs up to $14 million per incident, straining resources and directly impacting the bottom line.\n\n### **Solution**\n\n<https://www.youtube.com/watch?v=Cwy7tySntyc&ab_channel=Rulebase%28YCF24%29>\n\n* We have trained a deepfake and fraud detection model to detect ATOs, impersonations, and other fraudulent scenarios.\n* We use voice phishing simulations to train employees and raise awareness about staying secure.\n\n  ![uploaded image](/media/?type=post&id=85277&key=user_uploads/1371446/6d5f7fa1-95f5-4020-a073-f8ca7851e294)\n\n\n### **Asks**\n\n* If you’d like to learn how we can help protect your organization from various types of fraud, please feel free to schedule a call with us [here.](https://cal.com/gideonebose/30min?date=2024-10-31&month=2024-10)\n* Warm intros to CISOs or Fraud teams who actively serve a lot of retail customers\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=85277&key=user_uploads/1371446/20638cec-672a-4306-bc29-fd9744562317)\n\n[Gideon](https://www.linkedin.com/in/gideonos/) and [Chidi](https://www.linkedin.com/in/chidiwilliams/) spent the last 10 years building defensive systems at Goldman Sachs and Microsoft. We have taken all of our previous experience across financial services to design and build voice defensive systems.",
        "url": "https://www.ycombinator.com/launches/MBR-rulebase-the-voice-fraud-defense-system-for-financial-services",
        "votes": 43,
        "created_at": "2024-11-05T15:03:06.326Z"
      }
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    "id": 30037,
    "name": "Afternoon.co",
    "slug": "afternoon-co",
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    "website": "https://afternoon.co",
    "all_locations": "New York City, NY, USA",
    "long_description": "Afternoon.co empowers founders to make better business decisions with real time financial metrics. We pair managed AI bookkeeping and tax services, to reduce administrative burden on founders. \r\n\r\nAccountants struggle serving 4 million+ of ecommerce brands & startups in the US, because of complexity in sales tax, multiple sales channels and inventory management. We automate a large portion of bookkeeping by integrating with their sales and inventory systems, so founders can spend less time doing admin work.\r\n",
    "one_liner": "Bookkeeping, compliance and tax for founders",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1730493677,
    "tags": [
      "SaaS"
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    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/afternoon-co",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/afternoon-co.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/afternoon-co",
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      {
        "user_id": 10264,
        "full_name": "Roman Zubenko",
        "title": "Founder/CEO",
        "founder_bio": "Roman is the CEO of Afternoon.co. Previously he was a Growth PM at Notion, and PM & engineer at Gusto. At Gusto he led the launch of personal finance products, and was an engineer for accounting products.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/romanzubenko/",
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      },
      {
        "user_id": 2027776,
        "full_name": "Benjamin Paik",
        "title": "Founder/CPO",
        "founder_bio": "Ben is a co-founder of Afternoon.co. Previously, he was at Brex, where he launched an FP&A product line. Prior to that, he spent eight years at Gusto, where he introduced an embedded payroll product, launched international payroll capabilities, and led the payments team managing billions of dollars.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/benjaminpaik",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d7135ed51864e20d09a7fdf05a0c2cecbc23332.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Afternoon.co Raises $2M to Reimagine the Back Office Stack for Founders | Afternoon Blog",
        "url": "https://www.afternoon.co/blog/pre-seed-announcement",
        "date": "Jul 24, 2025"
      }
    ],
    "launches": [
      {
        "id": 85503,
        "title": "Afternoon.co - Bookkeeping and tax platform for ecommerce & startup founders",
        "tagline": "Focus on your startup, not bookkeeping and taxes",
        "body": "**TL;DR:** [Afternoon.co](http://Afternoon.co) is a bookkeeping and tax platform for ecommerce & startup founders. We provide real-time access to core financial metrics like runway, burn, and ARR, while handling your bookkeeping, sales and year-end taxes. \n\nOur platform connects with your other financial systems, like billing and payroll, and uses a blend of AI and expert accountants to keep your finances up to date.\n\n**Ask:** If you need help with bookkeeping or year-end corporate taxes, [book a demo](https://cal.com/team/afternoon.co/demo)! We serve startups including YC companies and e-commerce brands, and would love to take bookkeeping off your plate.\n\n<https://www.youtube.com/watch?v=BXTDlFGtYLo>\n\n**Problem**\n\nGood bookkeeping is the financial foundation for startups. Legacy accounting products make the process unnecessarily complex and confusing, failing to provide the metrics and reporting that founders and investors need.\n\n**Solution**\n\nAfternoon.co is new accounting software purpose-built for founders, with two key differentiators:\n\n1. **Built-in Intelligence:** Afternoon.co leverages AI to handle tasks traditionally done by humans. For example, it finds receipts in your Gmail inbox and automatically matches them to expenses, sparing you from constantly uploading receipts. Our AI assistant also helps answer questions instantly, so you’re never blocked.\n2. **Collaborative from Day 1:** Bookkeeping is a team effort, often involving lengthy email chains. We’ve embedded collaboration features into our software for seamless communication and task tracking between founders and accountants, ensuring nothing falls through the cracks.\n\nToday, we offer a fully managed service, pairing our software with bookkeeping and tax filing services handled by expert accountants.\n\n![uploaded image](/media/?type=post&id=85503&key=user_uploads/10264/5edf2718-445a-4e27-9d8d-f161873a2c7c)\n\n**Team**\n\n![](https://bookface-images.s3.us-west-2.amazonaws.com/qw7gt5webd4otoujkdfql05izozl?response-content-disposition=inline%3B%20filename%3D%22F24%20Product%20Showcase_101.jpg%22%3B%20filename%2A%3DUTF-8%27%27F24%2520Product%2520Showcase_101.jpg&response-content-type=image%2Fjpeg&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAJYUYYWKZ%2F20241112%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20241112T201713Z&X-Amz-Expires=10800&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEDwaCXVzLXdlc3QtMiJHMEUCIQDD%2FWouICb6jWn8bzHsfi0go%2Fu4D00Nd0pRZGRwVV6kXAIgWCpTJrCEzm8Q3xAKjUJ%2BaBATkYgYrr0BWGGsXXTTHH4q7gMIxf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAAGgwwMDYyMDE4MTEwNzIiDA0qEZxhSg6LyV%2B3oCrCA421ehcXVHGkWD%2F2cdCCRU87n12XdHzq1W5xYrjLlfZ4kwranr02fD1CKi4jdWa98hqOsRk5gLnb0zRmBznwIvgoLY4APLqlHjd2zGUfqc8kPLXDD%2Fz6gHgXO%2B89SxzHcbrVBHmhMcweotVw%2BKWCa9hAyh0vBeqJhBLss4DpVIuTNwkZuhU1pIFaDVW6OqwTjc544FjIjftuLGli0iHsiZBb9eOACMqtI4UZ2D%2BGrjsvMqWMUW2g2XybYNZcl%2BNo6Uww2SaEyxYibgaH1d%2FCRCS3Axu1RJLSIZq6D8FrnBTMR0xDeU%2BwcUaWwcfq7VbZDGAo6j2nMxm8jdpP3ZJ9tUJlsGvJPd9XYM4sUR4sTvYPEolhqMBgWge7ijQG%2Fs796X20%2FBZ4bod6ZqUqI6hl7%2Bu3JEnrh8xJdBnxHGMUQk7hJr6CAQX%2FiJgwfsa0Z%2Fg4ak4j%2BhuzzqX1P4wBoZgNTn7WjPP918eST9i1%2Bl6yV6472Tb%2FgF3RqTMpkdFdzBv4SukZ7VyXKG0UsLTypqaq0g3z4%2Fv8pBrIwVuZqTIefHOnILldM7v8FI3DQrqp6lH%2FkcbOdzcrNDqInT5679ZJelOGIzCE2s65BjqlAcgBguMMTb4zaeMy6x0Ba3rfer95vIkbwhdYvJLbLDHOakij3REUDYGfg5W3kvk2VyVyNbXeBOo618U7tRqKB2O4bgoH%2BX9EREYUhEpnJrniB6e8QgPEoFGJmnuI6Wx%2BDfiAVy2hnh3U8D0X4cCbs%2B4UptrJ5rMlZpNG7ESQcSgwPpEQbQktWGZa36zZiS4MniG5NZH1JzGiiVRnn6RKl1vyr%2Fi42Q%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=7613ee2b9d96dc2dde138de9f4c9de8719d93c38618113d263e1ddb6524ae07e)\n\nHey all, we are Ben and Roman! We’ve spent the last 10 years working at Square, Gusto, Brex, and Notion, leading teams as engineers and PMs that built accounting integrations, enterprise FP&A software, and personal banking products. We believe that having a good grasp on company finances for founders is crucial for startup success, and excited to make it effortless.\n\n![uploaded image](/media/?type=post&id=85503&key=user_uploads/10264/8f77af6d-b766-4a82-81aa-26139dd82ab0)\n\n",
        "url": "https://www.ycombinator.com/launches/MF5-afternoon-co-bookkeeping-and-tax-platform-for-ecommerce-startup-founders",
        "votes": 76,
        "created_at": "2024-11-12T20:31:14.479Z"
      }
    ]
  },
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    "id": 30038,
    "name": "Lightscreen AI",
    "slug": "lightscreen-ai",
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    "website": "https://lightscreen.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lightscreen’s voice + video AI interviewer enables companies to identify and invest in genuinely skilled candidates. It's already being used by high-growth startups and recruiting agencies to screen technical candidates. \r\n\r\nWe provide companies with a voicebot that can run a full-length technical interview, does smart interruptions, and multi-modal cheating detection. The AI provides the company rubric-based, rich candidate evaluation in minutes and can be fully customized to ask questions and evaluate based on the company's needs. ",
    "one_liner": "Voice + video AI interviewer",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1729721651,
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    "regions": [
      "United States of America",
      "America / Canada"
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    "demo_day_video_public": false,
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    "url": "https://www.ycombinator.com/companies/lightscreen-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/lightscreen-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/103745353",
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      {
        "user_id": 749712,
        "full_name": "Gavin Saldanha",
        "title": "Founder/CTO",
        "founder_bio": "I'm a founder and CTO at Lightscreen AI. I'm a software engineer with a background in ML/NLP. I previously worked in Google Cloud and led the engineering teams at Cauzal AI and Stacked. I did my undergrad at UC Berkeley and Master's at Columbia. I published a paper on text generation in collaboration with IBM Watson.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gavin-v-saldanha/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b93706fbbcb9c212c302ae922c0873e7f9add89a.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": " 😸 No cheating | Product Hunt Leaderboard",
        "url": "https://www.producthunt.com/newsletters/archive/35271-no-cheating",
        "date": "Nov 20, 2024"
      }
    ],
    "launches": [
      {
        "id": 85029,
        "title": "Lightscreen AI - voice agent for uncheatable tech screens",
        "tagline": "We help fast-growing startups identify genuinely skilled candidates.",
        "body": "# \n\n# **TL;DR**\n\nWe’re building uncheatable tech screens with an AI voice agent. Engineering teams use Lightscreen to identify genuinely skilled candidates -- a different approach than other screening tools that unlocks greater insight into a candidate's engineering fundamentals and critical thinking skills.\n\n# **The Problem**\n\n* Engineering managers spend about 40% of their time on hiring, and engineers spend about 10% of their time interviewing candidates\n* Up to 30% of candidates cheat on coding tests. With the increased prevalence of AI tools and remote interviewing, cheating is only becoming more common.\n* New AI technologies have made it easier for candidates to apply to hundreds of jobs, so volume of applications has drastically increased\n  * This volume is going to keep growing, increasing the burden on managers and engineers\n\n# **Our Solution**\n\nLightscreen’s AI interviewer assesses candidates’ skills by working through coding problems with them collaboratively. This unlocks deeper insight into a candidate's engineering fundamentals and critical thinking skills, unlike other screening tools that simply evaluate code.\n\nStrong candidate [evaluation](https://app.lightscreen.ai/eval/demo/matthewgreen/PalindromeChecker):\n\n![uploaded image](/media/?type=post&id=85029&key=user_uploads/749712/4f786403-a3aa-44c7-b271-85ba328ee9da)\n\nFlagged candidate [evaluation](https://app.lightscreen.ai/eval/demo/danielwhite/PalindromeChecker):\n\n![uploaded image](/media/?type=post&id=85029&key=user_uploads/749712/7deb5773-445c-475f-8182-1fb55f4a56af)\n\nOur AI can interview on any technical subject. It avoids hallucinations and eliminates bias by justifying feedback with specific examples, and can scale to any volume of candidates. It identifies cheating by monitoring the full feed of keystrokes, video, and audio from the candidate.\n\nAllow your engineers to focus on building products instead of screening candidates by trying Lightscreen today!\n\nWatch our short [demo video](https://www.youtube.com/watch?v=mXRCfDuGpSA):\n\n# **The Founders**\n\n[Prachie Banthia](https://www.linkedin.com/in/prachiebanthia) previously was VP Product at a Series C speech model company called AssemblyAI that has built the current SOTA speech transcription models. Before that she was at RideOS which she helped sell to GoPuff for $115M, and prior to that worked at Google.\n\n[Gavin Saldanha](https://www.linkedin.com/in/gavin-v-saldanha) is a veteran ML engineer who has led engineering teams at Cauzal AI and Stacked. Prior to that he also worked at Google - which is where he first met Prachie! He brings extensive experience in scaling and productionizing ML and NLP systems.\n\n# \n\n![uploaded image](/media/?type=post&id=85029&key=user_uploads/749712/2edda484-5817-4cea-9b3b-f36da80f4332)\n\n# **Our Ask**\n\n* If your company, or someone you know is hiring engineers, please reach out or make an introduction to [founders@lightscreen.ai](mailto:founders@lightscreen.ai)\n* Try our short [demo interview](https://app.lightscreen.ai/trial)",
        "url": "https://www.ycombinator.com/launches/M7R-lightscreen-ai-voice-agent-for-uncheatable-tech-screens",
        "votes": 68,
        "created_at": "2024-10-24T17:08:06.622Z"
      }
    ]
  },
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    "id": 30040,
    "name": "supercontrast",
    "slug": "supercontrast",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/790820337661ae1bc9c065bae89b47e0ad126432.png",
    "website": "https://supercontrast.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "At Hive we worked on a product called Gencraft, an ai art generator we ramped from 0 to $1M ARR in 6 months. This inspired us to build supercontrast, an AI Copilot which empowers anyone to create and refine high quality designs and assets. ",
    "one_liner": "AI Co-Pilot for Design",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1727282803,
    "tags": [
      "Machine Learning",
      "Design",
      "Design Tools"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/supercontrast",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/supercontrast.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/supercontrast/?viewAsMember=true",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/790820337661ae1bc9c065bae89b47e0ad126432.png",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1571215,
        "full_name": "Carter McClellan",
        "title": "Founder",
        "founder_bio": "CEO at supercontrast. Previously MLE/ Tech Lead at Hive AI",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/carter-mcclellan/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62c1452599da597d8c56651c350b4c204c30e2b7.jpg"
      },
      {
        "user_id": 1572927,
        "full_name": "Shravan Kumaran",
        "title": "Founder",
        "founder_bio": "CTO at supercontrast, an AI copilot for creating designs and assets. Previously worked on AI asset generation for video games at Google Stadia, and developed Gencraft at Hive, an AI art generation tool that went from 0 to over $1M ARR in 6 months.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/shravan-kumaran-7b2b80123/",
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    ],
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  },
  {
    "id": 30041,
    "name": "Revyl",
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        "title": "Revyl - Proactive observability",
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    "long_description": "Vortexify is an AI app builder for full-stack, internal business apps. Businesses such as manufacturers, hospitals and logistics services use Vortexify to solve complex, operational problems such as scheduling, process optimization, forecasting, root cause analysis and scenario planning.\r\n\r\nOur agents encode business logic by mapping operational problems to the data in your systems and collaborating with domain experts. Operations teams can build apps without writing code. Engineering teams can edit and manage agent written code at any time.\r\n\r\nVortexify builds applications beyond simple dashboards with native support for databases, scheduled tasks, optimization solvers, machine learning models, data pipelines, API calls and more. Our secure, managed infrastructure enables our agents to build quickly and get it right the first time.\r\n\r\nSolve your hardest operations problems today! Create a free account to get started. For additional technical services or support, contact us or book a demo.",
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        "title": "Praxis AI - Reasoning Agents Fine-Tuned for Manufacturing",
        "tagline": "Meet Praxis AI, the platform made to eliminate fire-fighting for manufacturing engineers",
        "body": "# TL;DR\n\nPraxis AI builds manufacturing-specific agents capable of reasoning and processing complex situations. Our engineering copilot predicts and prevents machine failures in real-time by solving problems the same way an engineer would. This results in proactive maintenance which helps prevent unplanned downtimes and quality defects.\n\n[Launch Video](https://www.youtube.com/watch?v=qJ41WG_X8pw):\n\n# The Problem\n\nWe have over 10 years of experience working in the manufacturing industry between the two of us. During that time we have noticed that manufacturing engineers are constantly being pulled in every direction due to production issues popping up in multiple parts of the plant. \n\nThis reactive approach results in:\n\n* Large amounts of unplanned downtime, resulting in lost throughput\n* Unnecessary wear and tear on expensive manufacturing machinery\n* Quality defects requiring non-value add rework prior to customer delivery\n\nFrom unplanned downtimes alone, US manufacturers lose over **$50 billion dollars per year**. \\\n\\\nUnfortunately, existing solutions are:\n\n* Complex and required large amounts of data science/computer science knowledge\n* Focused on dashboarding and KPI metrics\n* Extremely costly to implement and maintain\n* Not tailored for manufacturing use cases\n\n# The Solution\n\nPraxis AI provides manufacturing engineers with an end-to-end solution for identifying and root-causing machine issues by following a 5-step reasoning process. This mimics exactly how an engineer would solve an issue in the real world. Our platforms core competencies include:\n\n1. **SOTA AI architectures for manufacturing** - Our models have been specifically designed to work with time series data coming from the manufacturing shop floor.\n2. **No code tools for manufacturing engineers** - The Praxis AI platform can be used without ever touching a Jupyter notebook.\n3. **Explainable AI for root cause analysis** - Our UI gives users full visibility into the reasoning behind the output of our models, and our copilot Max.e.\n4. **Operationalized machine learning models** - Praxis ensures that every model that is built is able to be utilized every single day to drive actual changes on the shop-floor. It's not just a pretty dashboard to look at.\n\nThe Praxis platform provides the tools needed for engineers to make changes on their shop-floor which can lead to reductions in unplanned downtimes, reduced scrap/waste, improvements on the efficiency of their machines, and so much more. We’ve built the platform in a way that as we continue to work with more customers, we will be able to encompass more and more use cases. We’ve already begun preliminary work on adding production order optimization and maintenance backlog management to our solution suite. \n\n# The Team\n\n![uploaded image](/media/?type=post&id=85869&key=user_uploads/2229645/e65c1855-0e3c-4b5a-9014-22f633580153)\n\nWe have been working in the manufacturing industry for our entire professional career, and are extremely passionate about being on the cutting edge of manufacturing technology.\n\nRansika has worked at multiple manufacturing companies like GM, Tesla, and Rockwell Automation. During this time he has worked a variety of foundational manufacturing roles like manufacturing engineer, quality engineer, controls engineer, and production planner. During this time he managed multiple projects building and implementing various digital manufacturing projects globally which resulted in millions of dollars in cost savings per year. For the last two years he has been working at Deloitte as a product lead for Deloitte’s Intelligent Ops platform.\n\nAditya worked at Palantir for three years, ending his career there as a technical lead. During this time he specialized in converting pilots in the manufacturing vertical with a 100% success rate and a TCV of over $15 million dollars. Aditya has had a passion for ML/AI in manufacturing since early college, first excelling in the space by building a predictive model for General Motors and winning first in a data challenge of over 50 teams of PhD and masters students.\n\n# Our Ask\n\nIf you are interested in testing our solution out, we would love to be in touch to do a free factory assessment! We are looking to test our solution in a variety of different manufacturing environments, but have a particular affinity to continuous processes that can be found at paper mills, oil refineries, and chemical plants. Feel free to reach out at [founders@praxis-tech.ai](mailto:founders@praxis-tech.ai). Thanks!",
        "url": "https://www.ycombinator.com/launches/MKz-praxis-ai-reasoning-agents-fine-tuned-for-manufacturing",
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    "long_description": "The best DOCX MCP for agents. \r\nread and edit docx without having you agents deal with XML. Save on cost, enjoy improved performance.\r\nPerfect for regulatory, compliance and legal agent builders dealing with documentation",
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        "tagline": "The first SOTA level model to allow agents to edit DOCX documents",
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        "title": "Vespper: 24/7 AI on-call engineer",
        "tagline": "An agent that is triggered by alerts and surfaces relevant information that helps you troubleshoot",
        "body": "⭐ Star us on [Github](https://github.com/vespperhq/vespper) & follow us on [Twitter](https://x.com/vespperdotcom) & [LinkedIn](https://www.linkedin.com/company/vespper)!\n\n**📜 TL;DR**\n\n[Vespper](https://www.vespper.com?utm_source=yc&utm_campaign=yclaunch&utm_id=1) is an on-call engineer that helps engineers troubleshoot alerts by surfacing the right data at the right time.\\\n\\\n<https://youtu.be/uN888sOaIig>\n\n**🎯 What is Vespper?**\n\nVespper is an on-call engineer running 24/7 to troubleshoot your alerts and surface the right data to help you resolve your issue so incidents never falls through the cracks.\n\nWhether your company is going through growing pains, needs a better handle at dealing with SEV0 or has too many low priority unsolved issues - Vespper will adapt to your needs to democratize expert knowledge across your organization.\n\n**❌ The problem**\n\nMost companies drown in alerts and there are too many alerts to handle.\n\n* **Engineers** hate waking up at 3am to go investigate an issue, one person is familiar with one specific thing and they aren’t around, there is a constant need to check for false positives.\n* **Product managers** are left playing hot potato when trying to figure out the impact of incidents and bugs but engineers are too busy triaging the issue itself.\n* **Customer support** are left asking “who owns” which service when triaging tickets.\n* **Engineering leaders** need to constantly ensure engineers are escalating quickly, they rely on service specialists to debug an issue other engineers aren’t familiar with but they aren’t always around during critical times.\n\n**💰 The solution**\n\nVespper is a multi-agent system that triages alerts, troubleshoots them and sends findings in seconds to Slack. It’s connected to internal tools (observability, incident management, knowledge management, codebases and more) and can surface problems & identify patterns in the oceans of data you have.\n\nAt the moment, we support popular tools such as:\n\n* **Observability** - DataDog, Grafana, Prometheus, Jaeger, SigNoz, Coralogix\n* **Incident management** - PagerDuty, Opsgenie\n* **Codebases** - Github\n* **Knowledge management** - Notion, Confluence, Jira\n* **Communication** -  Slack, Teams (TBD)\n\n**⚒️ How does it work?**\n\nVespper is a system that’s comprised of multi-agents and AIOps models. Behind the scenes, we run & coordinate multiple agents and tools that help identify suspicious patterns from your environment.\n\nUsing Vespper is easy.\n\n1. Signup & create an organisation.\n2. Connect the tools you work with when triaging/troubleshooting. This means observability, knowledge, incident management and communication tools.\n\nOnce the integrations are connected, we automatically trigger advanced data ingestion pipelines that starts scraping data from your environment. This is used to train the bot. You can see the status of the ingestion & training in our web UI.\n\nOnce the system is ready, it will start triaging alerts for you, post an hypothesis on Slack and show you all the automatic checks it made!\n\n**👨‍👨‍👦 About the team**\n\n![uploaded image](/media/?type=post&id=85173&key=user_uploads/316431/58991bfd-e2eb-49f3-a915-31300d54e458)\n\nHi, we are Topaz & Dudu 😊 We co-founded Vespper with the mission of making on-call stress-free. \\\n\\\n**Topaz (CEO)** - Spent years at Snyk (a hyper-growth unicorn) building and maintaining large distributed systems, leading PLG experiments and achieving 99.9% uptime for her teams services.\n\n**Dudu (CTO)** - has seven years of experience working at rapidly-growing technology startups, including Google, Viz.ai and SafeBreach. Dudu was a deep-learning algorithm engineer at Viz.ai. He contributed to cutting-edge projects that leverage computer vision for healthcare applications and also worked on large-scale distributed systems.\n\nWe both dealt with daily alerts and the daily monotony of triaging, tuning and maintaining services observability.  This time spent all came at the expense of working on more impactful customer focused work.\n\nWe believe that pairing the strength of AI to pattern-match, classic AIOps and heuristics from our own experience can unlock a new experience for developers.\n\n**🙏 Our ask**\n\n1. Book a meeting with us <https://cal.com/callwithtopaz/vespper> or email us at [**founders@vespper.com**](mailto:founders@vespper.com)**.**\n2. Star us on [GitHub](https://github.com/vespperhq/vespper) + follow along on [Twitter](https://x.com/vespperdotcom) & [LinkedIn](https://www.linkedin.com/company/101636115/).",
        "url": "https://www.ycombinator.com/launches/M9l-vespper-24-7-ai-on-call-engineer",
        "votes": 74,
        "created_at": "2024-10-31T03:20:04.045Z"
      }
    ]
  },
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    "id": 30044,
    "name": "Sandra AI",
    "slug": "sandra-ai",
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      "Sandra.ai"
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    "website": "https://www.sandra-ai.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Sandra AI is building the AI operating system for car dealerships, replacing clumsy legacy software with an AI-native, automation-driven platform. Founded by 3 McKinsey, HEC & MIT alumni who met 10 years ago at Ecole Polytechnique, the company’s AI agents already automates all customer interactions across calls & messages, and increasingly run dealership operations by automating sales and aftersales workflows end-to-end. This operational footprint naturally extends into a proprietary software layer that unifies billing, scheduling, inventory, and CRM into a single dealership OS. ",
    "one_liner": "Building AI employees for car dealers",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1727911106,
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      "AI Assistant"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "France",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sandra-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/sandra-ai.json",
    "year_founded": 2024,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/sandra-ai/",
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      "name": "Nicolas Dessaigne",
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    "founders": [
      {
        "user_id": 1413790,
        "full_name": "Badr El Idrissi Mokdad",
        "title": "Founder/CEO",
        "founder_bio": "Badr is the Co-founder and CEO of Sandra AI. Before founding Sandra.ai, he spent three years as a consultant at McKinsey & Company and Bain & Company, where he worked within the BPO (Call centers) space and specialized in digital transformation, growth strategy, and CX business impact. Badr holds a dual degree in Data Science for Business from École Polytechnique and HEC Paris.",
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      {
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        "full_name": "Ismail Majjad",
        "title": "Founder",
        "founder_bio": "Ismail is the Co-founder and CPO of Sandra AI. He holds a joint MS in Data Science from Ecole Polytechnique and HEC Paris. Before Sandra, he spent 3 years at McKinsey, specializing in financial operations and strategic management, especially within the automotive and technology sectors.",
        "is_active": true,
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      {
        "user_id": 1363050,
        "full_name": "Skandere Sahli",
        "title": "Founder/CTO",
        "founder_bio": "Skandere is the AI Data Scientist of Sandra AI. He studied Applied Mathematics and Computer Science at Ecole Polytechnique and MIT. He spent 3 years at QuantumBlack, McKinsey’s AI arm, focusing on optimizing operations and integrating advanced AI systems. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/skand%C3%A8re-sahli-8a152616b",
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    "launches": [
      {
        "id": 84733,
        "title": "🚗 Sandra AI – The first multilingual AI receptionist for car dealerships",
        "tagline": "📞 Voice AI that manages all dealership calls, 🌟 boosting customer experience and 💸 driving revenue growth.",
        "body": "### **TL;DR**\n\nSandra AI is the first multilingual AI receptionist specifically designed for car dealerships, ensuring that every customer opportunity is captured. Our voice AI solution manages both inbound and outbound calls, allowing dealership teams to focus on closing deals and providing exceptional in-person service while we handle call management.\n\n**See Sandra AI in action:** [Watch our demo here.](https://www.youtube.com/watch?v=USVY_NldBmY&ab_channel=SandraAI)\n\n### **The Problem: Missed calls = Missed opportunities + Low customer satisfaction**\n\n📞 **+80% of appointments** at car service centers are **still booked by phone**, diverting teams from focusing on in-person customers.\n\n💰 **+30% of inbound calls go unanswered**, leading to significant missed opportunities.\n\n⏳ Customers expect quick responses, but **delays and slow follow-ups** drive them to competitors.\n\n😠 **Traditional call centers are expensive** and struggle to meet high demand, resulting in frustrated customers and lost revenue.\n\n### **Our Solution: Sandra AI**\n\n**💬 Multilingual, human-like interactions –** Sandra communicates naturally in multiple languages, making it easy to connect with a diverse customer base\\*\\*.\\*\\*\n\n**🤝 Seamless DMS integration –** Sandra integrates with your dealership management systems, enabling personalized communication and seamless appointment scheduling.\n\n**🔄 Always on, 24/7 –** Sandra never misses a call, capturing leads and managing customer follow-ups at any time of the day.\n\n**🔀 Smart transfer –** Sandra follows your guidelines, transferring to your support teams at just the right moment.\n\n**📝 Observability –** Sandra offers full observability, including call recordings, transcripts, and customer satisfaction overviews.\n\n### **Why we created Sandra AI**\n\nWe are passionate about AI, innovation, and making a meaningful impact in the world. Our experience as consultants in the BPO and automotive sectors revealed how missed calls were costing dealerships significant revenue and harming customer relationships.\n\nThis insight inspired us to develop a solution that leverages AI to drive real change. Thus, Sandra AI was born—an AI receptionist tailored to address the unique challenges faced by car dealerships.\n\n### **Our Ask**\n\nIf you run a car dealership and want to automate your phone call operations, reach out to us at [founders@sandra-ai.com](mailto:founders@sandra-ai.com). We’d love to help you streamline your customer communication and increase sales.\n\nIf you know other dealerships that would benefit from Sandra AI, we’d greatly appreciate an introduction!\n\n### **Our Team**\n\n\\\n**• **[**Badr**](https://www.linkedin.com/in/badr-el-idrissi-mokdad-a36336177/)** –** Former McKinsey & Bain consultant with extensive experience in the BPO space.\n\n**• **[**Ismail**](https://www.linkedin.com/in/ismailmajjad/)** –** Former McKinsey consultant with a strong background in the automotive industry.\n\n**• **[**Skandere**](https://www.linkedin.com/in/skand%C3%A8re-sahli-8a152616b/)** –** AI expert and graduate of Ecole Polytechnique and MIT, with extensive experience at QuantumBlack in AI solutions across various industries.",
        "url": "https://www.ycombinator.com/launches/M2f-sandra-ai-the-first-multilingual-ai-receptionist-for-car-dealerships",
        "votes": 18,
        "created_at": "2024-10-14T14:12:09.883Z"
      }
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    "id": 30045,
    "name": "Archil",
    "slug": "archil",
    "former_names": [
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      "Regatta Storage"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0695554aaa43f831a6d970c73486aad8f7a9101f.png",
    "website": "https://archil.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Archil transforms S3 buckets into a 30x faster, unlimited, local disk. Archil enables AI, analytics, and serverless applications to instantly access massive data sets without waiting for data transfer. Researchers use Archil for shareable, local storage of data set and model versions that never runs out of capacity.",
    "one_liner": "The high-performance file system that connects AI to data",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1727196277,
    "tags": [
      "Developer Tools",
      "Machine Learning",
      "Big Data",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/archil",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/archil.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/archil",
    "x_url": "https://x.com/archildata",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 2542,
        "full_name": "Hunter Leath",
        "title": "Founder/CEO",
        "founder_bio": "I'm building Archil, a cloud file system with unlimited capacity, local-like performance, and instant access to massive data sets in your S3 buckets. I've spent the past 9 years building cloud storage products at AWS and Netflix, and I'm thrilled that teams can finally stop managing disks.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hleath/",
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        "url": "https://archil.com/post/archil-file-system-to-data-company",
        "date": "Jun 02, 2025"
      },
      {
        "title": "The Quest for a Distributed POSIX-Compatible Filesystem",
        "url": "https://materializedview.io/p/the-quest-for-a-distributed-posix-fs",
        "date": "Dec 05, 2024"
      }
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      {
        "id": 85093,
        "title": "Archil: Transform S3 into an infinite, local file system",
        "tagline": "AI and analytics teams use Archil to instantly access massive S3 data sets, without waiting for data transfer or worrying about capacity.",
        "body": "_TL;DR:  Archil transforms S3 buckets into infinite, local file systems. It’s 30x faster than accessing S3 directly, and 90% cheaper than manually managing EBS disks. Archil provides instant access to data in S3, and it powers AI applications that can’t wait for massive data sets to download. Archil doesn’t require code changes because it’s just a file system. You can try it today at [archil.com](https://archil.com)._\n\nI’m Hunter, the founder of Archil. I’ve spent the past 9 years building cloud storage products on the frontier of what’s possible – leading both Amazon’s Elastic File System product and Netflix’s cloud storage team. During this time, I worked with thousands of application developers, cloud teams, and software providers to deeply understand how they use storage.\n\nHere's the problem: I found that AI and analytics teams love storing their data in S3 because it’s low-cost and scalable, but their applications can only use this data once it’s in a local file system. As a result, these teams are constantly moving data back and forth from their local instance file systems to S3. For larger data sets, applications can wait for hours to download and decompress data before starting. Unlike S3, local file systems have a limited amount of capacity that you can’t easily change after creation, they don’t support sharing data, and they’re 10x more expensive.\n\nArchil transforms your existing S3 buckets into a new kind of infinite, local file system. With Archil, your applications can instantly use petabyte-scale data sets in S3 without waiting for manual data download. Archil automatically scales with your data, and you only pay for the data you’re actively using – 90% cheaper than using EBS. With Archil’s shared, high-speed cache, all your instances and containers can take advantage of 30x faster, consistent reads and writes. When you’re done editing data, it automatically flows back to S3 within a few minutes, so you can easily share results with teammates. Archil has full POSIX compatibility (including renames, appends, and locking), so it’s already compatible with your applications – no code changes needed. Teams move faster when they use Archil because they don’t have to build custom data movement infrastructure.\n\n[Check out how easy Archil is to set up and use.](https://www.tella.tv/video/cm2num964000e03jng6jl5d9c/view)\n\nWe are really excited about how Archil will help teams simplify their data management. We are currently working with: AI teams who want to start model inference without waiting for downloads to complete, researchers who want to experiment on models and create new versions without running out of disk capacity, analytics teams who want to speed up their batch pipelines, and cloud teams who want lower-cost local storage without worrying about utilization. We’d love to work with you, too. If you have any questions, feel free to email me at [hleath@archil.com](https://mailto:hleath@archil.com). You can try Archil today by signing up at [archil.com](https://archil.com).\n\nLet’s build the future of the cloud together.\n\n![uploaded image](/media/?type=post&id=85093&key=user_uploads/2542/df85a282-87df-4986-b3c7-9cb58acc84ab)",
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        "votes": 65,
        "created_at": "2024-10-28T17:59:23.946Z"
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    "id": 30046,
    "name": "Cekura",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cekura helps Conversational AI companies with automated QA. From pre-production simulation and evaluations to production call monitoring, to assisting customers in setting up the CI/CD pipeline, we help in QA across the agent lifecycle.\r\n\r\nWe are working with 75+ customers across healthcare, BFSI, logistics, recruitment, and retail. Some of the largest CCAS players and enterprises use Cekura to ship AI voice and chat agents reliably ",
    "one_liner": "Voice AI and Chat AI agents: Testing and Observability",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1728616885,
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        "full_name": "Tarush Agarwal",
        "title": "Founder/CEO",
        "founder_bio": "Tarush is the Co-founder and CEO @ Cekura. \n\nBefore this, Tarush spent 3 years in quant finance where he developed ultra low latency systems (think nanoseconds) and helped transform a loss making trading strategy into a successful desk doing millions in MRR in 3 months. \n\nHe studied computer science and statistics at IIT Bombay. \n",
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        "user_id": 1332337,
        "full_name": "Shashij Gupta",
        "title": "Founder/CTO",
        "founder_bio": "Shashij is the Co-Founder & CTO @ Cekura.\n\nPreviously Shashij worked as a quantitative researcher in a trading firm searching for complex alphas. Shashij has also researched in NLP at Google Research and has a first author paper on testing transformers with 50+ citations from his work at ETH Zurich. \n\nHe has also studied computer science at IIT Bombay.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shashij-gupta-671aa614a",
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        "user_id": 1605191,
        "full_name": "Sidhant Kabra",
        "title": "Founder",
        "founder_bio": "Sidhant is the Co-Founder & President @ Cekura. \n\nSidhant comes from a consulting background, advising CEOs at Fortune 500 companies in FMCG and medical devices. He also led a 100+ member team handling customer experience. Recently, he drove product and growth at an edtech startup scaling from 0 to 200K+ users in 6 months. \n\nSidhant completed his bachelor’s from IIT Bombay. During university, he raised $500K in sponsorship deals for Asia’s largest student-led festival.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidhantkabra",
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        "id": 95171,
        "title": "Forward Deployed Engineer (US)",
        "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/AiWwUxI-forward-deployed-engineer-us",
        "location": "San Francisco, CA, US",
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        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $180K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 106505,
        "title": "Member of Technical Staff, Cekura (San Francisco, In-Person)",
        "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/FssE6kq-member-of-technical-staff-cekura-san-francisco-in-person",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.20% - 0.80%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 107901,
        "title": "Founding GTM, Cekura (San Francisco, In-Person)",
        "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/yDmL9mb-founding-gtm-cekura-san-francisco-in-person",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.15% - 0.50%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "YC-backed Cekura plans to open office in India following $2 million fundraise - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/startups/yc-backed-cekura-plans-to-open-office-in-india-following-2-million-fundraise/articleshow/122233573.cms?from=mdr",
        "date": "Jul 03, 2025"
      },
      {
        "title": "Cekura raises $2.4 million to make AI conversations reliable",
        "url": "https://americanbazaaronline.com/2025/07/02/cekura-raises-2-4-million-to-make-ai-conversations-reliable/",
        "date": "Jul 02, 2025"
      },
      {
        "title": "Cekura raises $2.4M to build the reliability layer for Conversational AI",
        "url": "https://www.cekura.ai/blogs/cekura-raises-dollar24m-to-build-the-reliability-layer-for-conversational-ai",
        "date": "Jul 01, 2025"
      },
      {
        "title": "Read the Pitch Deck Y Combinator Startup Used to Raise $2.4 Million - Business Insider",
        "url": "https://www.businessinsider.com/read-pitch-deck-y-combinator-startup-used-seed-funding-2025-6",
        "date": "Jul 01, 2025"
      }
    ],
    "launches": [
      {
        "id": 96868,
        "title": "Cekura Red Teaming: Stress-test your AI agents for Jailbreaks, Bias, Toxicity and more",
        "tagline": "Break your AI agents security before your customers do",
        "body": "Hi Everyone! We are Sidhant, Shashij, and Tarush, co-founders of Cekura👋\n\n**_TL;DR:_** We have launched Cekura Red Teaming for enterprises and startups building Conversational AI in compliance-heavy sectors like BFSI, Healthcare, Legal, etc\n\nWatch our launch video [here](https://www.youtube.com/watch?v=ShCiyZQ7pyw) or book a call [here](https://cal.com/kabrasidhant/30min)\n\n**Problem:**. Enterprise security teams are blocking deployments because manual, vibe-based testing doesn’t provide enough assurance against adversarial users. Whether it’s a user bypassing a paywall, tricking a bot into giving legal advice, or social-engineering it into leaking company secrets - the attack surface of conversational AI is massive.\n\n**Solution:**\n\n**Scalable, Automated Red Teaming:** Cekura allows you to run thousands of adversarial simulations in minutes. We act as the \"bad actor,\" pushing your agent's logic to its limits across every major vulnerability category:\n\n* 🔓 **Jailbreaking:** We simulate sophisticated \"prompt injection\" attacks to see if your agent will ignore its instructions or reveal its system prompt.\n* ⚖️ **Bias & Fairness:** We test for hidden biases in financial, medical, or recruitment advice to ensure your agent stays compliant and fair.\n* 🤬 **Toxicity:** We try to provoke your agent into unprofessional or offensive behaviour.\n* 🛡️ **PII & Data Leakage:** We attempt to extract sensitive data like credit card numbers, internal keys, or user data that your agent shouldn't have the authority to share\n\n**Red Teaming as a Service (RTaaS):** Beyond our standard library of thousands of scenarios, we also deploy our Forward Deployed Engineers to build **personalised adversarial test cases** tailored to your specific industry and use case (HIPAA compliance for healthcare, PCI DSS for fintech, etc)\n\n**Ready to Security Test your Voice & Chat AI Agents?**\n\n* Book a call: <https://cal.com/kabrasidhant>\n* Email us: [founders@cekura.ai](mailto:founders@cekura.ai)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate studies at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.",
        "url": "https://www.ycombinator.com/launches/PCO-cekura-red-teaming-stress-test-your-ai-agents-for-jailbreaks-bias-toxicity-and-more",
        "votes": 17,
        "created_at": "2026-01-16T17:27:00.616Z"
      },
      {
        "id": 89476,
        "title": "Cekura: Automated Testing & Monitoring for Voice and Chat AI Agents",
        "tagline": "Ship reliable voice and chat agents faster with automated simulation, evaluation, observability and analytics ",
        "body": "Hi Everyone! We’re [Sidhant](https://www.linkedin.com/in/sidhantkabra/), [Shashij](https://www.linkedin.com/in/shashij-gupta-671aa614a/), and [Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/), co-founders of Cekura👋\n\n**_TL;DR_** Cekura helps companies ship and scale reliable voice & chat AI agents by providing end-to-end testing and observability\n\nWatch our demo video [here](https://www.youtube.com/watch?v=EsEJJ32JQuM)\n\n**Problem:** Making Conversational AI agents reliable is hard. Manually calling your agents or listening through thousands of calls is slow, error-prone and does not provide the required coverage.\n\n**Our Solution:** At Cekura, we work closely with you at each step of the agent-building journey and help you improve and scale your agents 10 times faster\n\n![uploaded image](/media/?type=post&id=89476&key=user_uploads/1605191/a2827ed8-e974-4369-a5bf-a2407e52431b)\n\n**Key Features:**\n\n**Testing:**\n\n* **Scenario Generation**: Create varied test cases from agent descriptions automatically for comprehensive coverage.\n* **Evaluation Metrics:** Track custom and AI-generated metrics. Check for instruction following, tool calls, and conversational metrics (Interruptions, Latency, etc).\n* **Prompt Recommendation:** Get actionable insights to improve each of the metrics.\n* **Custom Personas:** Emulate diverse user types with varied accents, background noise, and conversational styles.\n* **Production Call Simulation:** Simulate production calls to ensure all the fixes have been incorporated.\n\n**Observability:**\n\n* **Conversational Analytics:** Provides customer sentiment, interruptions, latency and call analytics: ringing duration, success rate, call volume trends, etc\n* **Instruction Following:** Identify instances where agents fail to follow instructions.\n* **Drop-off Tracking:** Analyzes when and why users abandon calls, highlighting areas of improvement.\n* **Custom Metrics**: Define unique metrics for personalized call analysis.\n* **Alerting:** Proactively notifies users of critical issues like latency spikes or missed functions.\n\n**Ready to make your Voice & Chat Agents Reliable?**\n\n* Book a call: <https://cal.com/kabrasidhant>\n* Email us: [founders@cekura.ai](mailto:founders@oneleet.com)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.",
        "url": "https://www.ycombinator.com/launches/NHA-cekura-automated-testing-monitoring-for-voice-and-chat-ai-agents",
        "votes": 36,
        "created_at": "2025-04-13T19:05:17.460Z"
      },
      {
        "id": 84885,
        "title": "Cekura (formerly Vocera) - Testing & Monitoring for AI Voice Agents",
        "tagline": "Launch reliable voice agents in minutes not weeks.",
        "body": "**_TL;DR_** Cekura helps companies ship and scale reliable voice & chat AI agents by providing end-to-end testing and observability\n\nWatch our demo video [here](https://www.youtube.com/watch?v=EsEJJ32JQuM)\n\n**Problem:** Making Conversational AI agents reliable is hard. Manually calling your agents or listening through thousands of calls is slow, error-prone and does not provide the required coverage.\n\n**Our Solution:** At Cekura, we work closely with you at each step of the agent-building journey and help you improve and scale your agents 10 times faster\n\n# **Key Features:**\n\n**Testing:**\n\n* **Scenario Generation**: Create varied test cases from agent descriptions automatically for comprehensive coverage.\n* **Evaluation Metrics:** Track custom and AI-generated metrics. Check for instruction following, tool calls, and conversational metrics (Interruptions, Latency, etc).\n* **Prompt Recommendation:** Get actionable insights to improve each of the metrics.\n* **Custom Personas:** Emulate diverse user types with varied accents, background noise, and conversational styles.\n* **Production Call Simulation:** Simulate production calls to ensure all the fixes have been incorporated.\n\n**Observability:**\n\n* **Conversational Analytics:** Provides customer sentiment, interruptions, latency and call analytics: ringing duration, success rate, call volume trends, etc\n* **Instruction Following:** Identify instances where agents fail to follow instructions.\n* **Drop-off Tracking:** Analyzes when and why users abandon calls, highlighting areas of improvement.\n* **Custom Metrics**: Define unique metrics for personalized call analysis.\n* **Alerting:** Proactively notifies users of critical issues like latency spikes or missed functions.\n\n**Ready to make your Voice & Chat Agents Reliable?**\n\n* Book a call: <https://cal.com/kabrasidhant>\n* Email us: [founders@cekura.ai](mailto:founders@oneleet.com)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.\n\n![uploaded image](/media/?type=post&id=84885&key=user_uploads/795623/bbe88a02-e0d0-4bac-bbbd-304720fa753d)\n\n",
        "url": "https://www.ycombinator.com/launches/M57-cekura-formerly-vocera-testing-monitoring-for-ai-voice-agents",
        "votes": 158,
        "created_at": "2024-10-18T20:20:12.889Z"
      }
    ]
  },
  {
    "id": 30047,
    "name": "Endstack",
    "slug": "endstack",
    "former_names": [
      "Lune AI",
      "Lune",
      "Cosmic"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b2d3d74e1b66a985b5ff4da594128358d243158.png",
    "website": "https://www.endstack.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Endstack is a full desktop, collaborative workspace built for humans and agents running in the cloud available on web, desktop, and mobile.\r\n\r\nEach workspace powered by endOS, giving you a familiar channel-based experience augmented by a real desktop environment. The desktop is backed by Linux and ships with a built-in Chrome browser. Files, notes, browser tabs, native apps, terminal, and all your agents in a single beautiful, unified interface. \r\n\r\nAt the center of it all you get a powerful agent running 24/7 that you can also reach via Slack, email, or SMS. ",
    "one_liner": "The complete, collaborative workspace for humans and agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1731874326,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/endstack",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/endstack.json",
    "year_founded": 2024,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/endstack-com",
    "x_url": "https://x.com/endstack",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b2d3d74e1b66a985b5ff4da594128358d243158.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1758131,
        "full_name": "Sam Park",
        "title": "Founder/CEO",
        "founder_bio": "Building cloud desktops and operating systems for humans and agents!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samuel-park04/",
        "x_url": "https://x.com/samuelpark",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7913d2ce341124a3b34ae31c676d1186a8fcd80.jpg"
      },
      {
        "user_id": 2241290,
        "full_name": "Josh Park",
        "title": "Founder/CTO",
        "founder_bio": "Building Endstack, cloud computers for humans and agents. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshua-park-a26561279",
        "x_url": "https://x.com/joshhpark",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9678ee3971329214ab69d4ff569c0b5a5412ed09.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 85640,
        "title": "Lune AI - Better LLMs for code and technical tasks",
        "tagline": "A replacement to standard LLMs for coding tasks - eliminate hallucinations with a marketplace of expert LLMs trained on hundreds of technical topics.",
        "body": "[ ](https://www.youtube.com/watch?v=iPCixKBJiZI)\n\nHey everyone! We’re Sam and Josh, and we’re building a platform for better LLMs for code and technical tasks.\n\n## **TLDR:**\n\n[Lune AI](https://www.lune.dev/) is a platform to find and train Lunes, or expert LLMs on any technical topic for code. We outperform the accuracy of standalone foundational models by [37%](https://www.lune.dev/blog/lune-evaluation).\n\nHere’s a [**demo**](https://www.youtube.com/watch?v=Zwokp23C3ek):\n\n## **The Problem:**\n\nLLMs **hallucinate** on material outside their training data, which often leads to inaccurate answers to technical questions related to code. Whether it’s working with a new library, or the ever changing nature of software documentation, every developer has **wasted time** on hallucinated LLM outputs.\n\n## **Lune Web:**\n\nOn Lune Web, users can find a [marketplace](https://chat.lune.dev/explore) of community trained Lunes on **hundreds** of the most popular libraries and Github repositories for developers. In a concept similar to OpenAI’s GPT store, users that train popular Lunes receive monthly payouts in a **revenue share program**.\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/9b8e2428-b02e-4247-a5bc-f8746504e7f1)\n\nWhen interacting with Lunes on the web, users can also **receive payouts** for leaving feedback on Lune performance and contributing their own expertise to specific Lunes. This direct community driven feedback loop continuously improves the accuracy of our models.\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/0a27c84c-44d0-477a-a4db-3d3ccf8c6da1)\n\n## **Lune API:**\n\nIn addition to Lune Web, we offer API access to our proprietary automatic context switching model, Tycho as well as all public Lunes. Tycho is our context switching model that **automatically determines** the right Lunes to retrieve information from given a user query, in order to provide the most accurate answer. \n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/0fb0ab51-5d7c-4578-8174-21d5e9563ff0)\n\nOur API is hot swappable with OpenAI, which means our users can [integrate](https://docs.lune.dev/docs/external-integrations/cursor) Tycho into any IDE, tool, or client that **supports OpenAI compatible APIs** with a personal API key, such as Cursor, Continue, and other AI client SDKs. \n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/4de9c6f0-f8a8-4015-99ef-18034e454ede)\n\nProject keys with our API can be used to easily integrate backend applications and workflows where **superior accuracy and minimized hallucinations** for technical topics are necessary. For example, generating compliable, front-end code with context from various pip packages or libraries.\n\n## **About Us:**\n\nWe are brothers who have been working together our whole lives, starting out with Lego projects. We both dropped out of Harvard because we believed that there is a very near future where AI + Coding can lead to 10x better productivity for the world. We want to make that a reality.\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/da7c5a23-106f-4f64-bf42-1dfa460be8ca)\n\n## **Our Ask:**\n\nIf you code and you have experienced LLM hallucinations, hate reading through dense documentation and Github repos, give [Lune AI](https://www.lune.dev/) a try!\n\nIf you are building a product that uses LLMs for generating code or other technical tasks and want a hot-swappable, more accurate alternative, reach out to me at [sam@lune.dev](mailto:sam@lune.dev)\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/d27e21bd-d15d-4a94-aa1f-28e0c1d7a1d9)\n\n",
        "url": "https://www.ycombinator.com/launches/MHI-lune-ai-better-llms-for-code-and-technical-tasks",
        "votes": 86,
        "created_at": "2024-11-17T23:50:44.658Z"
      }
    ]
  },
  {
    "id": 30050,
    "name": "Smooth",
    "slug": "smooth",
    "former_names": [
      "Circlemind"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcfa8b54cf4b1b39fd0cb9dbb6a8d775676107b8.png",
    "website": "https://smooth.sh",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Smooth is an AI browser agent that can perform actions autonomously on the web using mouse and keyboard. It’s the most reliable browser agent yet, while also being 5 times faster, and 7 times cheaper than any other browser agent on the market.\r\n\r\n",
    "one_liner": "Fast, simple, reliable AI browser agent",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1729125196,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/smooth",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/smooth.json",
    "year_founded": 2024,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/circlemindai",
    "x_url": "https://x.com/circlemind_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcfa8b54cf4b1b39fd0cb9dbb6a8d775676107b8.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 846180,
        "full_name": "Antonio Vespoli",
        "title": "Founder",
        "founder_bio": "Antonio is the co-founder and CEO of Circlemind. He holds a Master’s degree in Computing from Imperial College London, specializing in AI and Machine Learning. He spent three years as a Software Engineer at AWS, working on real-time streaming technology.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/antonio-vespoli-895727121",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54ab9daafaa63c7aa061f0d54952cda9cebe3be7.jpg"
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    ],
    "jobs": [
      {
        "id": 84118,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/smooth/jobs/1H7isFV-software-engineer",
        "location": "London, England, GB / Cambridge, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $130K",
        "equity_range": "0.10% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 94829,
        "title": "Smooth - Fast, simple, reliable AI browser agent",
        "tagline": "Serverless browser agent API built from first principles: reliable, secure, 5x faster, 7x cheaper, and extremely scalable",
        "body": "Hey everyone! We're Antonio and Luca, the founders of Smooth - the fastest and most reliable browser agent yet.\n\n**TL;DR:** Smooth is an AI browser agent that can perform actions autonomously on the web using mouse and keyboard. It’s the most reliable browser agent yet, while also being 5 times faster, and 7 times cheaper than any other browser agent on the market.\n\n👉🏼 [Try it now free](https://app.smooth.sh)\n\nhttps://youtu.be/fvf7oLcSxWg\n\n**The problem**\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/9b08b367-2751-4fb4-89cd-7ae50362a4c1)\n\nAlthough browser agents are becoming a reality, we found that existing solutions are:\n\n1. **Too expensive** Usually require large models - can easily end up costing a few dollars even for simple tasks.\n2. **Too slow** Can take way too long to complete - e.g. 4 min to book a flight.\n3. **Unreliable** Even when provided with detailed instructions, they can struggle to complete the task.\n\nLLMs may be exceptional at advanced math, but they still struggle to book a flight.\n\n**Our solution**\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/5c0da911-8b6c-419c-9018-e638bf6e64d3)\n\nWe found that if you combine small and efficient models with a carefully curated context design, you can get **higher reliability** while also getting **human-speed navigation** and a **huge cost reduction**!\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/1f5cc0da-bcfb-48a1-8972-8a4f23790d2c)\n\nWe packaged Smooth in a **super-easy-to-use API** with instant browser spin-up, custom proxies, persistent sessions, and auto-CAPTCHA solvers. Our goal is to give you this infrastructure so that you can focus on what's important: building great apps for your users.\n\nSmooth is infinitely scalable, production ready, and secure. You can get started for free and run browser tasks in just 4 lines of code.\n\n**Our Asks**\n\n* **Give [Smooth](https://app.smooth.sh) a try!** We’d love to hear your experience\n* Drop us a line at [antonio@circlemind.co](mailto:antonio@circlemind.co) if you’d like to chat\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/f6a666db-7a65-4ef2-923d-5b2abf4c9018)\n\n",
        "url": "https://www.ycombinator.com/launches/OfV-smooth-fast-simple-reliable-ai-browser-agent",
        "votes": 27,
        "created_at": "2025-10-22T17:12:00.808Z"
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    "id": 30054,
    "name": "CTGT",
    "slug": "ctgt",
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    "website": "https://www.ctgt.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CTGT is an applied AI research laboratory fundamentally solving the alignment and reliability bottleneck for enterprise AI.\r\n\r\nFor enterprises, especially highly regulated industries, deploying Generative AI is historically a compromise between capability and catastrophic risk. Standard enterprise approaches, such as RAG, fine-tuning, and prompt engineering, operate at the wrong abstraction layer. They are inherently probabilistic, carry massive engineering overhead, and fail to deliver the mathematical certainty required by the Fortune 500.\r\n\r\nWe focus on the science of representation engineering and have productized mechanistic interpretability. By opening the \"black box\" of neural networks, CTGT has developed a proprietary architecture that intervenes directly at the model's representation layer. We convert complex corporate SOPs, SEC/FINRA regulations, and strict editorial rulebooks into machine-readable \"Policy as Code,\" enforcing deterministic constraints and defensible audit trails without requiring expensive model retraining.\r\n\r\nThe result is a step-function breakthrough in enterprise AI economics and capability. Our fundamental architecture allows organizations to run secure, self-hosted open-source models that mathematically match the reasoning and performance of frontier models. Benchmarks from our enterprise deployments demonstrate a 96.5% prevention of hallucinations, up to a 3.3× accuracy multiplier in complex domain-specific tasks, and an 80-90% reduction in human-in-the-loop manual review.\r\n\r\nBacked by an $8M seed round from Gradient Ventures (Google), General Catalyst, and Y Combinator, CTGT is currently deployed with Fortune 500 companies, including Tier-1 financial institutions and global media conglomerates, giving them the deterministic control necessary to deploy enterprise AI with zero margin for error.",
    "one_liner": "The deterministic layer for frontier intelligence",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1730040950,
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      "Enterprise",
      "AI"
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/ctgt",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/ctgt.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ctgt/",
    "x_url": "https://twitter.com/CTGTInc",
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 509591,
        "full_name": "Cyril Gorlla",
        "title": "Founder/CEO",
        "founder_bio": "Cyril left his research at Stanford at 23 to found CTGT. His work on efficient and interpretable AI was presented at AI conference ICLR while he held the Endowed Chair's Fellowship at the University of California San Diego. He is a Nordson Leadership Scholar and Ivory Bridges Fellow.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/cyrilgorlla",
        "x_url": "https://twitter.com/cyrilgorlla",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43228029e306121385b2987128f3cb1f01f03dc1.jpg"
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    ],
    "jobs": [
      {
        "id": 92244,
        "title": "Machine Learning Engineer: LLM Interpretability & Systems",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/QbKf46B-machine-learning-engineer-llm-interpretability-systems",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$175 - $250",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 93803,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/ZmmLekJ-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$175K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 93804,
        "title": "Senior Software Engineer, Platform",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/JtUiJzD-senior-software-engineer-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$175K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 93805,
        "title": "Senior Software Engineer, Product",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/gaXkJcv-senior-software-engineer-product",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$175K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97519,
        "title": "Software Engineering Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/b3hTkK4-software-engineering-intern-summer-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$8K - $12K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97530,
        "title": "Research Intern: Interpretability & Reliability (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/rN5ZtuG-research-intern-interpretability-reliability-summer-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Science",
        "role_type": "Research",
        "salary_range": "$8K - $12K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "Will sponsor",
        "skills": [
          "Machine Learning",
          "Deep Learning"
        ]
      }
    ],
    "news": [
      {
        "title": "Y Combinator Startup CTGT Raises $7 Million From Google's Gradient - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-startup-ctgt-raises-seed-funding-round-gradient-ventures-2025-2",
        "date": "Feb 20, 2025"
      },
      {
        "title": "Start-up company with UCSD roots seeks to eliminate ‘AI hallucinations’ – San Diego Union-Tribune",
        "url": "https://www.sandiegouniontribune.com/2024/11/08/start-up-company-with-ucsd-roots-seeks-to-eliminate-ai-hallucinations/",
        "date": "Nov 08, 2024"
      },
      {
        "title": "How This Hyderabadi Founder Won Over Mark Cuban To Solve AI Hallucination",
        "url": "https://analyticsindiamag.com/ai-breakthroughs/how-this-hyderabadi-founder-won-over-mark-cuban-to-solve-ai-hallucination/",
        "date": "Nov 07, 2024"
      },
      {
        "title": "CTGT aims to make AI models safer | TechCrunch",
        "url": "https://techcrunch.com/2024/10/29/ctgt-aims-to-make-ai-models-safer/",
        "date": "Oct 29, 2024"
      }
    ],
    "launches": [
      {
        "id": 85166,
        "title": "CTGT - Accelerate AI Time to Market",
        "tagline": "Ensure AI is trustworthy + compliant, eliminate hallucinations, and deploy 10x faster.",
        "body": "We're building the future of trustworthy AI deployment. CTGT helps enterprises eliminate hallucinations and unwanted behavior in LLMs while dramatically accelerating time-to-production.\n\n[Utilizing CTGT's Platform for Model Evaluation and Monitoring 🚀 - Watch Video](https://www.loom.com/share/7e4948fa0ccf4256b2f7036ee8d7baf4)\n\n## **The Problem: “Black Box” of AI**\n\nThe status quo of deep learning involves throwing more compute at models with the expectation that they will achieve true intelligence. The questionable nature of this assumption aside, this will certainly lead to more complex models that we don’t meaningfully understand.\n\nI’ve been obsessed with AI and its potential to change the world since I was a kid. In high school, I took apart old laptops to eke out just a bit more performance to train models, so I’m exceedingly aware how important access to and understanding AI is. (For more background, check out the great piece [TechCrunch did on us](https://techcrunch.com/2024/10/29/ctgt-aims-to-make-ai-models-safer/).)\n\nEnterprise companies are sitting on powerful AI models but can't deploy them due to hallucinations and unpredictable behavior.\n\n* Healthcare providers can't risk medical chatbots giving dangerous advice\n* Financial firms need guarantees their AI won't recommend fraudulent investments\n* Tech companies need AI that consistently aligns with their brand voice\n\n## **Our Solution: Principled AI Development**\n\nCTGT takes a fundamentally different approach. Rather than black-box approximations, we've developed breakthrough technology that understands [how neural networks actually learn](https://openreview.net/forum?id=8WiNDyXgj6). \n\nThis allows us to:\n\n* Automatically detect and eliminate hallucinations\n* Train models 10x faster with 10x less compute\n* Give enterprises foundational control over AI behavior\n\nHow it works:\n\nLet’s imagine we ask an LLM about cooking food. \n\n_I started lunch by simmering water on the stove. I prepared dough for a homemade pizza dish. Using a knife, I sliced fresh tomatoes and cheese. I spread glue on the bread for tomorrow's breakfast. The dough rose in the oven. I brewed tea while stirring the soup with a spoon. A plate was set, and lunch was nearly complete. Every pot and utensil had its place._ \n\nWe can determine, for example, that pizza and bread is part of the “food” concept in the model, along with other related things in the output.\n\n<https://www.youtube.com/watch?v=WSDro9tEz_w> \n\nAnd we can determine that “glue” shouldn’t be part of this concept.\n\n<https://www.youtube.com/watch?v=skW5Z5CPr9o> \n\nOur technology ensures “glue” doesn’t appear in queries regarding food, reducing hallucinations by 80-90%.\n\n<https://www.youtube.com/watch?v=sH8x9boOtF4> \n\n## **Real Results with Fortune 10 Companies**\n\nWe're already helping major enterprises deploy AI with confidence:\n\n* Removed bias from facial recognition systems in one step\n* Eliminated investment advice hallucinations for portfolio managers\n* Enabled fraud detection LLMs with precise error identification\n\n## **The Team**\n\nFounded by UCSD researchers pushing the boundaries of AI:\n\n* Cyril Gorlla (CEO): Recipient of the Endowed Chair's Fellowship at UCSD. His work on efficient AI training was invited for presentation at ICLR and his talk at Ai4 was the most attended in its track. He collaborated with Intel on ML telemetry deployed on 8M+ CPUs. He was named one of 12 “2022 Shining Stars” at UCSD and is an Ivory Bridges Fellow and Nordson Leadership Scholar. He was advised by ACM and Amazon Fellow Mikhail Belkin.\n* Trevor (CTO): Deep learning researcher focused on high powered distributed ML systems under Hao Zhang, a student of Databricks Founder Ion Stoica, at UCSD.\n\n## **Why Now**\n\nLegacy companies and those without access to massive amounts of compute can greatly benefit from specialized, domain-specific AI. Current LLM interpretability methods are extremely inefficient, effectively rendering them inaccessible to the vast majority of companies. There’s a shift from large foundation models to those tailored to each company’s brand and applications. Our technology enables this future by making state-of-the-art AI accessible without massive compute resources.\n\n## **Interested in the Next Generation of AI?**\n\nBook a meeting at [ctgt.ai](http://ctgt.ai) if you're:\n\n* A regulated enterprise (healthcare/finance etc.) looking to safely deploy AI\n* Struggling with LLM hallucinations or slow iteration cycles\n* Want to reduce AI compute costs by 10x while improving reliability\n\n## **Looking For**\n\n* Introductions to enterprises bottlenecked by AI trust/reliability issues\n* Feedback from companies dealing with hallucination challenges\n* Technical talent passionate about principled AI development\n\nContact: [hello@ctgt.ai](mailto:hello@ctgt.ai) \n\nThe future of AI isn't just bigger models - it's smarter, more efficient ones you can trust. Let's build it together.\n\n![uploaded image](/media/?type=post&id=85166&key=user_uploads/509591/0cb2deae-2e96-46e2-936a-3d70ad737f71)\n\n",
        "url": "https://www.ycombinator.com/launches/M9e-ctgt-accelerate-ai-time-to-market",
        "votes": 58,
        "created_at": "2024-10-30T23:08:04.801Z"
      }
    ]
  },
  {
    "id": 30057,
    "name": "Luthor",
    "slug": "luthor",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb20b2bce4f5e0cb26cffa31072a6cc5d7bc7145.png",
    "website": "https://luthor.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Luthor replaces fragmented compliance workflows with a single system that reviews, enforces, and logs every piece of marketing content the moment it’s created.\r\n\r\nGenerative AI has made content production effortless. Manual compliance review has not kept up. This gap is now the largest and fastest-growing source of risk in the enterprise.\r\n\r\nLuthor closes that gap completely. Every claim is checked against your policies, your regulations, and your approved sources before it goes live. Marketing teams move faster. Compliance teams gain complete confidence, with every message verified and fully auditable.\r\n\r\nTrusted by asset managers, RIAs, lenders, banks, and credit unions to operate at AI-era volume while meeting SEC, FINRA, FTC, UDAAP, and more.\r\n\r\nLuthor eliminates the gap between what companies say and what they can stand behind.",
    "one_liner": "Real-time governance for enterprise communications",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1730139932,
    "tags": [
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      "Compliance",
      "Marketing",
      "Regtech",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/luthor",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/luthor.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/luthor",
    "x_url": "https://x.com/luthorai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/luthor-ai",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 75017,
        "full_name": "Glenn Espinosa",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO @ Luthor. Previously, Risk/Compliance Eng at Square.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/glennespinosa",
        "x_url": "https://x.com/gxespino",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7a8f173fe57f467e23ee99101bdc60e11a99ed2.jpg"
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    "jobs": [
      {
        "id": 70999,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/luthor/jobs/HKrdhp0-software-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "PostgreSQL",
          "React",
          "Ruby on Rails"
        ]
      },
      {
        "id": 112116,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/luthor/jobs/gSMsba2-customer-success-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112117,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/luthor/jobs/30rYvEm-founding-account-executive",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 101719,
        "title": "Luthor - AI compliance infrastructure for regulated marketing",
        "tagline": "Luthor helps regulated teams review and approve campaigns faster without increasing compliance risk.",
        "body": "**TLDR: We’re building [Luthor](https://www.luthor.ai/):**  AI compliance infrastructure for regulated marketing\n\n---\n\n### <https://youtu.be/MvOLCnl-WHg>\n\\\n**The Problem**\n\nAt most financial services companies, a simple marketing campaign can get stuck in legal and compliance review for weeks.\n\nPeople send drafts over email, argue over disclosures in spreadsheets, lose context, and miss the market window.\n\nWith Luthor, teams upload content and instantly get:\n\n* Checks against federal, state and international regulations\n* Company policies and brand guidelines\n* The right disclosures\n* Suggestions based on past approvals and firm-specific rules\n\nEverything then lives in one place for review, approval, and audit.\n\n### **Who it’s for**\n\nOur users today include:\n\n* Financial Services (RIAs/Broker Dealers)\n* Asset managers\n* Banks/Credit unions\n* Mortgage lenders\n* Other regulated companies that run frequent campaigns\n\nIf you’re building in a regulated industry and deal with compliance-heavy marketing workflows, this might be relevant.\n\n---\n\n### **Why we started Luthor**\n\nWhen I was on Square’s risk team, I built internal tools to manage compliance reviews.\n\nTiming mattered. A campaign going out this week vs. next month could mean millions in volume.\n\nBut I kept seeing product launches miss their window, not because they were unsafe, but because the process was slow.\n\nIt was frustrating to watch good work get delayed by bad systems. That’s what led me to build Luthor.\n\n---\n\n### **What’s happened so far**\n\nWe’re live with financial services firms, mortgage lenders, marketing agencies, banks, and VC firms, and are piloting with an Am Law 10 firm.\n\nOur customers collectively represent over **$850B+ in assets under management**.\n\nAcross teams, we’re seeing review cycles shrink from weeks to hours.\n\n---\n\n### **Asks**\n\nIf you work in marketing or compliance in a regulated industry and are tired of slow approvals and bottlenecks, we’d love to talk.\n\n---\n\nBook a call [here](https://cal.com/luthor/learn-more), or email [founders@luthor.ai](mailto:founders@luthor.ai) \\\n\\\n\\-Glenn",
        "url": "https://www.ycombinator.com/launches/QSd-luthor-ai-compliance-infrastructure-for-regulated-marketing",
        "votes": 8,
        "created_at": "2026-05-21T15:42:50.698Z"
      }
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  },
  {
    "id": 30060,
    "name": "Lingo.dev",
    "slug": "lingodotdev",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a284047c475d06365013890a991877b3bdad21e.png",
    "website": "https://lingo.dev",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Lingo.dev is the localization engineering platform: the best way to translate with LLMs, measure translation quality, and proofread with native speakers.\r\n\r\nLingo.dev is built for teams accountable for quality in languages they can't read. Teams configure localization engines, stateful translation APIs that hold the glossary, brand voice, and per-locale model preferences, and every request retrieves that context at inference time through retrieval augmented localization. Every translation is scored before it goes live, scores and corrections tune the engine, and the localization team runs the localization infrastructure. Integrate through the API, CLI, CI/CD, or native integrations with the code repository and the CMS. \r\n\r\nLingo.dev is the standard localization infrastructure for modern enterprise teams scaling into new markets – including Mistral, Solana, SoSafe, and Cal.com. Over 300M words processed, SOC 2 Type II compliant.",
    "one_liner": "The Localization Engineering Platform",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1728389519,
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Veronica and Max met eight years ago at work and have been building together since. Veronica came from data science, then AI. Max came from engineering, having led a DORA-elite frontend team at Typeform.\r\n\r\nBetween them they had shipped software at startups and enterprises and bootstrapped a SaaS with customers in over 100 countries. Localization broke the same way every time: the people accountable for the result could not read most of the languages they were accountable for. They approved work they could not check, and they found out it was wrong from a customer.\r\n\r\nEvery product on the market treated that as a workflow problem, so it sold coordination. It is a measurement problem. Lingo.dev was built around the instrument first, and the pipeline around the instrument."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Our first serious customers arrived, Cal.com among them, and the question stopped being whether this works and became how far it goes. Localization is a global problem by definition. Every company that grows past one language has it, in every market it enters, permanently. A problem that shape deserves a lasting, durable company behind it rather than a good couple of years.\r\n\r\nSo we shot for the stars and applied to the best accelerators in the world. We ended up in conversations with several, and we chose Y Combinator.\r\n\r\nNo other program has a record like it. Stripe, Airbnb, DoorDash, and Coinbase all started there, and each one became the default infrastructure of an entire category, operating in nearly every market on earth. YC backs companies at the point where the idea still looks small and the market does not exist yet, and it does that more often, and more correctly, than anyone else. That is the standard it sets, and that is the company we wanted to keep.\r\n\r\nThe batch did what it is known for: sharper questions, faster iteration, and a peer group that tells you the truth early rather than politely later. We raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We attend YC events and stay close to the private network between them.\r\n\r\nWe try to be genuinely useful. Founders ask about localization, going multilingual, and expanding internationally, and we take those conversations whenever there is a chance to help. The network works because founders treat it as something to contribute to, so that is how we use it."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Founded in December 2023, after winning an AI product competition at Cornell Tech in New York. Full-time from February 2024.\r\n\r\nThe first product translated software with AI on every commit. It worked, and it showed how small that problem is. The commit loop is roughly one percent of localization work, and it was already close to solved.\r\n\r\nThe inflection was the buyer. Localization managers and localization engineers carry accountability for quality in languages they cannot read, and the market treats that seat as an afterthought. The company was rebuilt around that seat, and the tool became a platform: localization engines, quality scoring, native integrations, and proofreading with native speakers.\r\n\r\nToday over 300M words have been processed on the platform, for teams including Mistral, Solana, SoSafe, and Cal.com. Lingo.dev is SOC 2 Type II compliant and has raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "A company releases into thirty languages. The person accountable for those languages reads two.\r\n\r\nTranslation stopped being the constraint, it comes back in seconds, from an agency or straight from a model, and it gets cheaper every quarter. What nobody hands the accountable team is the number: which languages are good, which drifted, and what to fix first. Without it the team either trusts output it cannot read, or pays a person to read every string.\r\n\r\nLingo.dev is where that number comes from. Teams pick from the industry-standard metrics or define quality criteria in plain words, and every translation is scored before it goes live. Every low score carries its reason, traced to the model, the translation rule, or the missing glossary term. Corrections from native speakers tune the localization engine, so the edit rate falls over time.\r\n\r\nIt is a big problem because the accountability does not move. Software goes out in more languages every year, the people who answer for those languages still cannot read them, and the volume of text nobody has checked grows with every release."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Translation quality becomes a measured quantity.\r\n\r\nToday it is an opinion. Vendors assert it, buyers cannot check it, and nearly every quality number published in this industry arrives without a method behind it. When Lingo.dev succeeds, a team states what its Japanese was worth this quarter, what changed since last quarter, and what caused the change, the same way it states its uptime.\r\n\r\nDownstream of that, a product goes live in every language it has customers in on the day it goes live in English, and the team that owns those languages proves the result instead of defending it."
      }
    ],
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      "url": "https://www.ycombinator.com/people/pete-koomen"
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        "user_id": 1992394,
        "full_name": "Max Prilutskiy",
        "title": "Founder/CEO",
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        "title": "Lingo.dev is an app localization engine for developers | TechCrunch",
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        "date": "Feb 18, 2025"
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      {
        "id": 84681,
        "title": "Lingo.dev – The Localization Engineering Platform",
        "tagline": "Lingo.dev is the localization engineering platform: the best way to measure translation quality, translate with LLMs, and proofread with native speakers.",
        "body": "![uploaded image](/media/?type=post&id=84681&key=user_uploads/1992394/c62aca07-353c-49ad-a49e-b403d1b784e0)\n\n**TL;DR**\n\n[Lingo.dev](https://lingo.dev) is the localization engineering platform: the best way to translate with LLMs, measure translation quality, and proofread with native speakers.\n\nIt's built for teams accountable for quality in languages they can't read: a localization team, or the product, engineering, or marketing team that inherited localization without one. Every translation is scored before it goes live, and scores and corrections tune the localization engine.\n\n**Speed stopped being the problem**\n\nA release goes out in thirty languages, and the person accountable for it reads two.\n\nTranslation comes back fast now, from an agency or straight from a model, and it gets cheaper every quarter. The number nobody hands you is the quality one: which languages are good, which drifted, and what to fix first. Without it you are accountable for quality you can neither read nor repair.\n\n**What Lingo.dev does**\n\n* **Build your own localization engine.** A localization engine is a stateful translation API that holds your glossary, brand voice, and per-locale model preferences. Retrieval augmented localization sends that context to the LLM at inference time. Assign the highest-scoring model per language pair, with a fallback order, on your own LLM provider API key or through Lingo.dev without markup.\n* **Measure translation quality in languages you can't read.** Pick from the industry-standard metrics, define your own quality criteria in plain words, bring the quality scorecard you have, or start from a template built for your content type. The criteria you define score translations from LLMs and from native speakers, and every low score comes with the reason, traced to the model, the translation rule, or the missing glossary term.\n* **Integrate localization into the tools you already use.** Connect the code repository, the CMS, the help center, and the email provider through native integrations, and reach the same localization engine from the API, the CLI, and CI/CD. The localization team runs the localization infrastructure.\n* **Proofread with native speakers.** Decide what waits for a person, by content type, by locale, or by a score threshold you set. Every correction tunes the localization engine, so the native speakers' edit rate falls over time.\n\n**Who runs on it**\n\nLingo.dev is the standard localization infrastructure for modern enterprise teams scaling into new markets, including Mistral, Solana, SoSafe, and Cal.com. Teams have processed over 300M words on the platform, for their customers all over the world. Lingo.dev is SOC 2 Type II compliant, and has raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams.\n\n**Ask**\n\nIf you release into languages nobody on your team reads, we will score what goes live today, per language, on your own content.\n\nSet up Lingo.dev: <https://lingo.dev>\n\nBook a demo: <https://lingo.dev/enterprise>\n\nAnd send this to the localization professional you know. Scoring quality in languages nobody on the team reads is their job, and this is where that work happens.\n\n**Team**\n\n[Veronica](https://www.linkedin.com/in/vrcprl/) and [Max](https://www.linkedin.com/in/maxprilutskiy/), [Lingo.dev](https://lingo.dev)'s founders, met eight years ago at work. Veronica has a data science and AI background. Max has an engineering background, having led a DORA-elite frontend team at Typeform, one of Europe's best-known SaaS products.\n\nBoth experienced localization problems firsthand while working at startups and enterprise companies and while bootstrapping a SaaS with customers from over 100 countries. This shared experience led them to create Lingo.dev, so the professionals accountable for translation quality can measure it in every language, including the ones nobody on the team reads.\n\n![uploaded image](/media/?type=post&id=84681&key=user_uploads/1989733/dfd03586-1d6f-4747-b6fc-e0d84f5022a5)\n\n",
        "url": "https://www.ycombinator.com/launches/M1p-lingo-dev-the-localization-engineering-platform",
        "votes": 60,
        "created_at": "2024-10-10T18:18:35.695Z"
      }
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    "name": "Freebuff",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're making consumer agent products completely free, using the best open source models, and funded by ads.\r\n\r\nOur first product is a coding agent CLI called Freebuff. Install it with \"npm i -g freebuff\". We're also working on a free Lovable competitor.",
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    "team_size": 4,
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/freebuff",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/freebuff.json",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "James Grugett",
        "title": "Founder/CEO",
        "founder_bio": "I'm building Codebuff — the CLI tool that writes code for you.\n\nPreviously, I founded Manifold Markets, a site with 150,000 user-created prediction markets that gets millions of views per month.\nI'll be applying lessons learned from growing a consumer app for nerds (Manifold) to growing Codebuff, a dev tool for software nerds.\n\nI bring passion and intensity to my work. With Codebuff, I've jumped into a new field, AI code generation, and built something state of the art within a couple months.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/james-grugett",
        "x_url": "https://x.com/jahooma",
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      {
        "user_id": 1399924,
        "full_name": "Dawson Chen",
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        "founder_bio": "Building a free coding agent. Prev co-founder at Letterbook (YC S23). Yale dropout",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dawson-chen-9b62a8183",
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        "id": 95411,
        "title": "Founding Growth Marketer",
        "url": "https://www.ycombinator.com/companies/freebuff/jobs/VwKy5Xq-founding-growth-marketer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
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        "equity_range": "0.25% - 0.50%",
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        "visa": "Will sponsor",
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        "title": "Founding Advertiser Success Manager",
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    "launches": [
      {
        "id": 84718,
        "title": "Codebuff: Make your terminal write code for you",
        "tagline": "\"Very f****** cool\" CLI for AI code generation",
        "body": "Codebuff is a CLI-based coding agent – invoke it in your Terminal and ask it to write code for you. We launched on BookFace last week and got 500 downloads and 60+ upvotes!\n\nIt’s a Cursor alternative that’s simpler and frequently performs better. Try it out:\n\n```\nnpm install -g codebuff\n```\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/c0fe87b7-bb51-47ac-9023-8cc38ede96cf)\n\n### What people are saying\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/6224e821-9d82-4620-b57f-d428c9af8ea0)\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/771297ed-0012-4601-a983-e416463f16fb)\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/86a6581c-ef41-490e-9a17-b36a5f73f629)\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/4c066ef1-ced0-4fc1-b5d4-a16a8ef7609c)\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/14872fde-79d4-4e53-8491-457e41f4ff5f)\n\n### Fewer clicks, more codebase context\n\nCodebuff is different from all the other coding agents, we swear!\n\n* **It chooses files to read automatically on each message** — unlike Cursor’s composer feature. This saves you time and makes Codebuff respond more comprehensively.\n* **It takes 0 clicks** — type your instructions and Codebuff will edit your files directly. It's simple and fast. Theoretically, you can do all your development by just chatting with it!\n* **It has full access to your existing tools, scripts, and packages** — Codebuff can install packages, run terminal commands and tests, etc. Whatever awk/grep/pip install stuff you used to do, Codebuff can do it for you instead!\n* **It is portable to _any_ development environment —** no lock-in here! Feel free to bring your IDE: VSCode, Cursor, Vim, Emacs, Replit, or plain text editor (if you’re a monster).\n* **We don’t store your codebase** — we just pass individual files along to OpenAI and Anthropic as is necessary to generate code. We didn’t even have a database until a couple weeks ago!\n\nCodebuff can write code for every tech stack – we know because we’ve built software from full-stack web apps to IoT device firmware.\n\n<https://www.tella.tv/video/code-coding-agent-bh6l>\n\n### Offer\n\nTo celebrate our launch, we are giving away **2,500 free Codebuff credits per month** for a limited time to new users!\n\nTo claim, 1. get Codebuff in your terminal:\n\n```bash\nnpm install -g codebuff\n```\n\n2\\. Run `codebuff` in your project directory.\n\n3\\. Finally, enter “login” to sign up and claim the 2,500 free credits.\n\nAlso, **existing users**: you can refer your friends at [codebuff.com/referrals](http://codebuff.com/referrals) — when you refer a friend, you’ll both get **500 credits per month**!\n\n## 🙏 Ask\n\nTry it out and give us feedback! Check out our website <https://codebuff.com>\n\nIf you have any thoughts, please join our Discord: <https://discord.gg/mcWTGjgTj3>. We love love love all feedback, positive and negative! Even slightly backhanded ones like this 😅:\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/b24d3c54-1d2c-4bca-8c2f-37a65f0fb8d1)\n\nSo please try Codebuff out and let us know what you think!",
        "url": "https://www.ycombinator.com/launches/M2Q-codebuff-make-your-terminal-write-code-for-you",
        "votes": 62,
        "created_at": "2024-10-12T00:23:25.975Z"
      }
    ]
  },
  {
    "id": 30066,
    "name": "Unusual",
    "slug": "unusual",
    "former_names": [
      "Aditto"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd15b298040da78745561fe92b10fb7b1c25f4d5.png",
    "website": "https://unusual.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI agents are the newest audience brands need to speak to, but go-to-market teams don't have the tools to understand how they form opinions or make decisions.\r\n\r\nUnusual helps brands in the Fortune 100 and scale-ups like Change.org and Astronomer drive more sales and win more market share by shifting how AI models perceive their offerings.\r\n\r\nWe work closely with every brand to (1) identify the root cause of AI misperception, (2) align on marketing, sales, and product strategies that appeal to agents, and (3) build infrastructure and content that makes their strongest proof more legible to agents.\r\n\r\nOur methodology centers on applying black-box interpretability techniques to AI agents like ChatGPT and Claude to understand how they form opinions about a brand and its competitors. Seeing the *why* behind each opinion gives us the ability to create targeted interventions that change them.",
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    "team_size": 4,
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    "subindustry": "B2B -> Marketing",
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      {
        "user_id": 1572046,
        "full_name": "Keller Maloney",
        "title": "Founder",
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      {
        "id": 85675,
        "title": "Founding Engineer - Full Stack",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
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      },
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        "id": 94630,
        "title": "Agent Marketing Consultant",
        "url": "https://www.ycombinator.com/companies/unusual/jobs/JhH2Fdo-agent-marketing-consultant",
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    "launches": [
      {
        "id": 94065,
        "title": "Unusual – AI Relations",
        "tagline": "Get more leads with PR campaigns targeted at ChatGPT, Perplexity, Gemini, and more",
        "body": "Unusual creates and suggests media engineered to improve how AI talks about your brand – driving you more leads. This is the first “AI Relations” tool – public relations for AI models.\n\n**The problem:**\n\nEvery day, your customers rely more on ChatGPT for their buying decisions. \n\nGetting tools like ChatGPT to send you leads is a lot more than GEO/AEO; it’s more like running a PR campaign – strategically building credibility and authority with models themselves.\n\n**The solution:**\n\nWe built a platform that helps you improve AI’s holistic picture of your brand – what we’re calling “AI Relations.”\n\nhttps://youtu.be/EIkyCu3kTt4 \n\nWe break this into three components, all of which Unusual manages:\n\n1. Filling key knowledge gaps – publishing LLM-optimized content full of information LLMs are searching for, but don’t have: like a reference manual for your company. Check out ours here: https://llms.unusual.ai  \n2. Getting you on the map – flagging the 3rd party media sources LLMs look to in your industry.\n3. Nuanced reporting – analyzing how LLMs think about your company, and giving you extremely detailed reports on why they make the recommendations they do.\n\nUnusual also track AI crawls of your content, so you can measure when it’s getting picked up and referenced by LLMs, helping you track ROI.\n\n**Results:**\n\nQuality wins fast with AI systems – content with rich and needed information is quickly picked up and referenced.\n\nFor [Parley](https://parley.so), an early customer, Unusual identified a key gap in what Perplexity knew about the space of SOC2 compliant AI for law firms. It automatically published pages to fill the gaps ([Model Use, Data Flows, and Isolation by Firm](https://ai.parley.so/model-use-data-flows-firm-isolation), [Encryption, Access Controls, and Audit Logging](https://ai.parley.so/encryption-access-controls-audit-logging)) and within a month, those two pages were within the top 3 most important citations for the topic area.\n\n![uploaded image](/media/?type=post&id=94065&key=user_uploads/317891/2da445ae-819c-4443-b491-c094c14c1fe4)\n\n**Try it out!**\n\nEmail us for a demo: [founders@unusual.ai](mailto:founders@unusual.ai)\n\nTry it for free:[ app.unusual.ai/sign-up](http://app.unusual.ai/sign-up) \n\nOur website:[ unusual.ai](http://unusual.ai) \n\nOur own AI subdomain: [llms.unusual.ai](http://llms.unusual.ai) ",
        "url": "https://www.ycombinator.com/launches/OTB-unusual-ai-relations",
        "votes": 35,
        "created_at": "2025-09-23T16:30:36.000Z"
      },
      {
        "id": 87418,
        "title": "Unusual - AI Generated Websites for Each Visitor",
        "tagline": "We’ve boosted conversions up to 4x. Get more from your SEO content, ads, 3rd party links, and Linkedin outreach",
        "body": "**TLDR:** Unusual personalizes your website for every visitor. Customers have boosted their leads by 4x from SEO/blogs, ads, 3rd party links, and even Linkedin outreach to individual prospects.\n\n**SEE FOR YOURSELF**\n\nOur website _normally_ looks like this: \n\n![uploaded image](/media/?type=post&id=87418&key=user_uploads/317891/c5f7735d-81e5-45ce-9571-756857e97a7b)\n\n**Now, click on** [**unusual.ai**](https://unusual.ai) 👀 … you can see how it adapts to you coming from [YCombinator.com](http://YCombinator.com).\n\n<https://youtu.be/RQ0j7OCAjmE>\n\nUnusual uses information about the visitor to tailor the copy on your website automatically. Just drop a script in your site, and you're good to go!\n\n**Automatic personalization from any source of traffic**\n\n* Unusual can serve a unique version of your site for every single ad, blog post, social media post, email and more. \n* If you highlight a particular feature of your product in a blog post, that feature will be prominently displayed on the page the users see.\n\n**Personalize your outbound sales**\n\n* Include a custom version of your site in emails to prospects.\n* Depending on who they are, their position at the company, the industry, etc…\n\n**Create one-off versions of your site in seconds**\n\n* Create new landing pages with a prompt\n\n**Create custom sites via API**\n\n* All of Unusual’s personalization features are available via API, so you can programmatically create variants of your website (think attaching a custom page to LinkedIn or Email outreach)\n\n**Want to try it out?**\n\n* It’s a two line of code integration, it works with every kind of website, and we’re happy to help you get set up.\n\n📧 [founders@unusual.ai](mailto:founders@unusual.ai)",
        "url": "https://www.ycombinator.com/launches/Mjy-unusual-ai-generated-websites-for-each-visitor",
        "votes": 66,
        "created_at": "2025-02-04T22:19:28.840Z"
      },
      {
        "id": 85552,
        "title": "Aditto: Launch search engine marketing with the click of a button",
        "tagline": "Generate and manage hundreds of ads and landing pages without hiring a marketer.",
        "body": "**TL;DR** Aditto lets you run search engine marketing without marketers. Every day, Aditto generates new search ads and custom landing pages based on search trends, and lets you launch them with the click of a button. Our first customer: 2x leads, ½ cost per conversion in week one.\n\n<https://www.loom.com/share/e7084374372343b18af1972bde1e694b?sid=9b5e4dfa-9340-4ef8-9994-af51523b0ae0>\n\n---\n\n### **The problem**\n\nSearch ads are a huge pain to set up and manage – and when founders hire marketers to do it for them, they often misunderstand their product and market and waste money on bad leads.\n\nRunning effective ad campaigns means either:\n\n1. Wasting precious time learning the \"dark arts\" of ad platforms\n2. Bleeding money on experiments while competing against marketing veterans\n3. Burning 10-30% of your ad budget on marketers who barely understand your product\n\n---\n\n### **Our insights**\n\n* Founders are the best marketers but lack the tools/know-how.\n* Marketers don’t understand your product, but they know a lot about the “dark arts” of running Google ads and landing page optimization.\n\n---\n\n### **The solution**\n\nAditto puts founders in the driver’s seat while automating the grunt work. Our first customer 2x’d their leads while halving CPA in the first week with Aditto.\n\nJust sign up for Google Ads, drop a script tag into your site, and you’re good to go.\n\n---\n\n### **The product**\n\n**Smart Search Ads 🔍**\n\n![uploaded image](/media/?type=post&id=85552&key=user_uploads/317891/d9e7742e-de72-4329-9481-64e217003c63)\n\n* Press one button to launch hundreds of “intelligent” search ads – no need for a whole marketing team.\n* Daily updates on new search trends and ad performance\n* Automatic optimization based on what's working\n\n**Dynamic Landing Pages 🎯**\n\n* Your website automatically adapts to each visitor's context\n* Live demo: Our website usually looks like this:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdtY6LlxIo87wShNKFYzN2gV2VwZlwa0cE-pjLK-76wALh1G6QGwIUSgBp9SMddPyYPgkSGTuY-_lr6UYZZtGhbJCVhiSOAiVZZfRoH4ZOdRv2_uecOwWD9gkVTi6DGJXKDKiR0maGyyG153pIDh8Vs93oE?key=2Z5kuXksLecyVkABy6luuA)\n\nClick here ➡️ <https://aditto.co> to see what happens when you visit from YC’s website 👀\n\n(disclaimer… this might not work if you have uBlock origin on)\n\n---\n\n### **Why it works**\n\n* Zero learning curve - no need to become an ads expert.\n* Personalization at scale without a giant marketing team.\n* Perfect for companies with multiple value props and customer profiles\n\n---\n\n---\n\n### **Want to join?**\n\nWe're looking for beta partners with \"Swiss Army Knife\" products — multiple value props, multiple customer profiles — especially enterprise and SaaS companies. \n\n📧 [**founders@aditto.co**](mailto:founders@aditto.co)",
        "url": "https://www.ycombinator.com/launches/MFs-aditto-launch-search-engine-marketing-with-the-click-of-a-button",
        "votes": 79,
        "created_at": "2024-11-13T21:44:56.659Z"
      }
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    "id": 30067,
    "name": "Beglaubigt.de",
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    "all_locations": "BY, Germany",
    "long_description": "Openlaw is building the legal backoffice for every company in Europe. One engine, three brands:\r\n\r\n- Beglaubigt.de: Germany's leading platform to found, register and manage a company. GmbH/UG formations in ~7 days instead of 6-8 weeks.\r\n- firma.de: the operating system for running a company - accounting, tax, business address and ongoing compliance.\r\n- Registercheck.de: real-time Handelsregister data via API. Every company, every change.\r\n\r\nThrough Germany's first fully automated incorporation API, partners like Qonto and Sevdesk embed company formation directly into their products. 30,000+ customers served so far.",
    "one_liner": "The legal backoffice for every company. For founders and AI agents.",
    "team_size": 30,
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    "subindustry": "B2B -> Legal",
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        "user_id": 1428849,
        "full_name": "Alexander Sporenberg",
        "title": "Founder/CEO",
        "founder_bio": "Building the legal backoffice for every company.\n\nPreviously founding team at Razor Group - European unicorn that scaled to €1.7B+ valuation and 500+ employees. Led 150+ M&A transactions, where the real bottleneck turned out to be legal infrastructure, not deal terms.",
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        "user_id": 241802,
        "full_name": "Felix Gerlach",
        "title": "Founder/Building",
        "founder_bio": "Co-Founder of Platus.com;\nCo-founded and exited Passbase Inc. (KYC / AML B2B SaaS) in 2023",
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    "jobs": [
      {
        "id": 93272,
        "title": "Entrepreneur in Residence — Founder's Office (Internship, m/f/d)",
        "url": "https://www.ycombinator.com/companies/beglaubigtde/jobs/YqUW3n0-entrepreneur-in-residence-founder-s-office-internship-m-f-d",
        "location": "Munich, BY, DE / Munich, Bavaria, DE / Remote (US)",
        "type": "Internship",
        "role": "Sales",
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    "launches": [
      {
        "id": 95836,
        "title": "📬 Beglaubigt.de: Digital Business Address with AI Mailroom",
        "tagline": "Now live: Company address for Hamburg, Berlin, and Munich in Germany",
        "body": "👋 Hey YC!\n\n**Alex here — co-founder of Platus (F24)** and our German sub-brand [**Beglaubigt.de**](http://Beglaubigt.de), where we’re building the digital back-office for founders in Germany:\n\nToday, we’re excited to share that we’re officially launching **legally-compliant business addresses + a fully digital, AI-driven mailbox** in **Hamburg, Berlin, and Munich in Germany**. This new service completes our core stack alongside digital incorporations and digital notarizations.\n\n---\n\n## 📬 **About Beglaubigt’s Address + Digital Mailroom**\n\nIn Germany, every founder needs a **_ladungsfähige Geschäftsadresse_** - a legally binding business address required for:\n\n* Trade registrations\n* Incorporations (UG/GmbH)\n* Tax office communication\n* Courts, authorities, and official notices\n* Banking, payroll, insurance, vendors\n\nTraditionally, this process is painfully analog: physical letters, misplaced notices, fake register scams, long delays, and hours lost walking to actual mailboxes.\n\n**We turned the entire process into a digital, automated, AI-interpreted system.**\n\n### **What you get**\n\n* 🏢 **A legally compliant business address** (Hamburg, Berlin, Munich)\n* 📨 **A fully digital mailbox** — every letter scanned and instantly available\n* 🤖 **AI that reads, classifies & interprets every notice**\n* 🔀 **Auto-routing to the right team member**\n* 🚨 **Real-time fraud & fake-register detection**\n* 📦 **Automatic physical forwarding when needed**\n* 🔒 **Secure storage, searchable archive, full audit trail**\n\nYour mailbox will never look the same again — 2025 is digital, fast, and AI-powered. See for yourself:\n\n![uploaded image](/media/?type=post&id=95836&key=user_uploads/1428849/a0650d56-775e-47e9-b144-7307245139b2)\n\n---\n\n## ⚡ **Why this matters**\n\nBecause the business address isn’t just an address — it’s the _nerve center_ of every German company. With this launch:\n\n* We **unify** **incorporation + address + mail + workflow automation**\n* We eliminate one of the most common operational breakpoints for early-stage companies\n* And we bring real leverage into a system that was designed for paper, not speed\n\nThis product fits perfectly into our broader vision: making entrepreneurship in Germany radically simpler, faster, and fully digital.\n\n---\n\n## 🤝 **Why founders already love the shift**\n\n**No more fear of “Did I miss an important letter?”**\\\n\\*\\*No more manual processes.\\*\\*\\\nNo more slow loops.\n\nAnd because once they see it, they say the same thing every time:\n\n> Why did nobody build this earlier?\n\n---\n\n## 🚀 **What’s next**\n\n---\n\nMore cities.\\\nDeeper automations.\\\n**An autonomous back office** that anticipates instead of reacts.\n\n## 💬 **Want to try it?**\n\n![uploaded image](/media/?type=post&id=95836&key=user_uploads/1428849/aad178f1-110b-498c-b9be-4ef0c3ea1ad6)\n\nSet up your business address in under 3 minutes.\\\n(And finally manage your German mail the way it _should_ work.)\n\n👉 https://beglaubigt.de/geschaeftsadresse\n\nIf you’d like to learn more, ask a question, or see a demo — drop a comment, message us, or send an email to:\\\n[**alexandros@beglaubigt.de**](mailto:alex@beglaubigt.de)",
        "url": "https://www.ycombinator.com/launches/Ovk-beglaubigt-de-digital-business-address-with-ai-mailroom",
        "votes": 12,
        "created_at": "2025-11-28T15:03:54.228Z"
      },
      {
        "id": 85565,
        "title": "🏛️ Platus - Automate Your Legal Operations",
        "tagline": "Fast, reliable legal infrastructure as a no-code platform and API.",
        "body": "Hey everyone, we're [Alex](https://www.linkedin.com/in/alexandersporenberg/) and [Felix](https://www.linkedin.com/in/felixgerlach/), the co-founders of [Platus (platus.com)](http://platus.com/).\n\n# **TL;DR**\n\n* **Legal infrastructure as no code and API**\n* **First Notary-as-a-Service API**\n\nPlatus delivers fast, reliable legal solutions via a no-code platform and API, enabling SMEs with instant notarization, document drafting, e-signing, and workflow automation.\\\n\\\n<https://youtu.be/IlynObmr_sQ>\n\n---\n\n# **The Problem**\n\n* **Legal services fail to meet today’s need for instant access**.\n  * Just as Uber, DoorDash, and Revolut brought immediacy to mobility, food, and finance, legal services like drafting and notarization should be instantly accessible. In Germany, notarizations take hours at a notary’s office.\n* **Legal operations are inefficient, turning simple tasks into lengthy processes.**\n  * SMEs managing high-volume, time-intensive legal operations often lack the resources to automate their workflows.\n* **Legal services are excessively costly, often only considered if absolutely unavoidable.**\n  * In the U.S., legal help typically costs $200–$400 per hour, with complex cases exceeding $10,000, making it a last resort for SMEs.\n\n# **Our Solution**\n\nPlatus provides instant legal infrastructure with essential tools to handle and automate legal tasks:\n\n**1️⃣ Instant Online Notarization**: Notarize documents across different jurisdictions within 1-24hrs for documents such as Powers of Attorneys, Trust Certifications, and Apostilles.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/42014a83-cde9-4f83-97e4-962c2aa14415)\n\n**2️⃣ Notarization & e-Signatures via API**: Maintain full control of your customer relationships while enabling compliant document notarization and signing. Now with AI-powered signature field detection.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/137aecb7-bc05-4bd5-85db-876298f73d1a)\n\n**3️⃣ Automation with Workflows:** Choose from predefined playbooks or stack together your own workflow to automate internal or external legal processes.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/42d11f19-4934-48e2-957c-a70f209bcd91)\n\n**4️⃣ AI-Driven Document Intelligence**: Detailed insights from your company's legal documents.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/c0a8b4e3-9b8e-47f3-84a5-a9eebd039b8a)\n\n---\n\n\\\n**Interested? Talk to us!**\n\n1. [**Book a demo**](https://cal.com/fg/15min?date=2024-11-14&month=2024-11) and explore the platform in action.\n2. **Custom Legal Workflows**? We can build customized solutions and workflows to your legal requirements.\n\nWebsite: <https://platus.com/>\\\nLinkedIn: <https://linkedin.com/company/platus-inc>\\\nX: <https://x.com/platusai>\n\nReach out to us at [founders@platus.com](mailto:founders\\*\\*@platus.com), or [book a demo directly](https://cal.com/fg/15min?date=2024-11-14&month=2024-11).\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/a5098a75-8c5b-4b03-adf3-b713127431db)\n\n# **Founding story**\n\n* [**Alex**](https://www.linkedin.com/in/alexandersporenberg/) and [**Felix**](https://www.linkedin.com/in/felixgerlach/) – both experienced builders in legal and compliance tech.\n* Previously, we built [Beglaubigt.de](http://Beglaubigt.de), Germany’s leading digital notary service, and are now expanding globally with Platus to redefine legal operations and notarization access for SMEs.\n\nFelix brings extensive expertise in European compliance tech, having successfully built and sold a KYC / AML provider in 2023. Meanwhile, Alex, in developing the leading eCommerce aggregator and handling over $100 million in transactions, experienced firsthand the costly and complex nature of cross-border legal services. Together, we are deeply committed to digitizing, automating, and delivering instant legal solutions to make them accessible to everyone. Today, Platus enables SMEs to manage complex legal processes and notarizations with unmatched speed and simplicity. **💥 Beglaubigt was Platus' first customer! 💥**",
        "url": "https://www.ycombinator.com/launches/MG5-platus-automate-your-legal-operations",
        "votes": 232,
        "created_at": "2024-11-14T14:44:46.086Z"
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    "long_description": "Pearson builds AI agents to automate corporate transactions. Large law firms use us to run gigantic books of businesses with AI, reducing their cost of delivery 40-60%.",
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        "full_name": "Stephanie Young",
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        "body": "TL;DR — Hey everyone! It’s [Steph](https://www.linkedin.com/in/stephanieyoung1/) and we’re building Pearson - AI agents to help law firms and companies execute corporate transactions. We help rainmakers at law firms run gigantic books of businesses with AI.\n\n## AI Researcher & Exited Founder\n\n[Steph](https://www.linkedin.com/in/stephanieyoung1/) got 4 degrees from Stanford including CS+MBA from Stanford in just over 6 years\n\n* Product at Google and Lyft\n* Built and sold an AI company, which inspired Pearson\n\nCome talk to us!\n\n[stephanie@pearsonlabs.ai](mailto:stephanie@pearsonlabs.ai)",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "The world's best AI web app builder, implementing a radically unique architecture that lets us completely outperform the competition in complexity, reliability, scalability, and more. We are 7x cheaper and are positioned to take down Lovable, Replit, Base44, Bolt, Emergent, and more.",
    "one_liner": "The Lovable & Replit killers",
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    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Victor Cheng",
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        "founder_bio": "1x exit at 19. Autodesk @ 17, founder @ 18, coding since 11. dropout @ uw computer science. Automating full-stack web development.",
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    "name": "Tiny",
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    "website": "https://andtiny.com",
    "all_locations": "Singapore, Singapore; Remote",
    "long_description": "At Tiny, we’re building a new kind of ERP system for factories where AI agents automate repetitive workflows. Made for the four million factories still primarily relying on Excel. LLMs now unlock their troves of siloed unstructured data. We see a massive opportunity to build a compound startup and, beyond that, tap into network effects to unlock just-in-time manufacturing across entire supply chains.",
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    "team_size": 3,
    "industry": "B2B",
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        "title": "Tiny - Rippling for factories",
        "tagline": "A new kind of ERP system for factories.",
        "body": "# **TL;DR**\n\nAt [Tiny](https://andtiny.com/) we’re building a compound startup like [Rippling](https://www.rippling.com/) for factories. Our mission is to provide factories with a single, cohesive platform to track and manage the full lifecycle of a manufactured item across every department in their organization.\n\n<https://youtu.be/kmhj7bozMro>\n\nWe’re already working with several factories in Indonesia, Vietnam, and India, focusing on suppliers in the automotive and electronics industries.\n\n# **The Problem**\n\nMany factories are trapped in a web of disjointed spreadsheets and partially integrated tools, requiring costly manual data re-entry at nearly every stage—unless they can afford to spend over $1M on an ERP solution like SAP. This fragmentation leads to poor visibility into true costs and inventory, resulting in over-ordering of materials and dead stock of manufactured goods.\n\n# **The Solution**\n\nTiny is a ground-up reimagination of cumbersome traditional ERP software. Factories now have an intuitive user experience that leverages live collaborative editing to get everyone working together seamlessly, with a workflow engine that assigns tasks to the right person at the right time. Furthermore, as we expand our platform, we plan to automate repetitive tasks, thereby reducing costs and unlocking valuable insights by unifying sales, procurement, and production processes—all within a single system.\n\nCurrently, we’ve started at the very beginning of the order lifecycle: the quotation process. Our first module empowers sales and engineering teams to respond to customer inquiries faster and more accurately. The foundation of this module—the workflow engine, the lightweight CRM, and the item library—are shared in the upcoming procurement and production modules, resulting in deep integration and a seamless experience for our customers.\n\nThe foundation we’ve built is a fully collaborative object graph with real-time computations, plus a truly novel form input framework including automatic object syncing and interactive audit logs, on top of durable workflow execution that enables us to customize workflows extremely efficiently. Thanks to this foundation, we are uniquely positioned to unlock never-before-seen, truly interactive collaboration with AI agents.\n\n# **About Us**\n\nWe’re [Louis](https://www.linkedin.com/in/ldevalliere) and [Ed](https://www.linkedin.com/in/edward-zhang-14685828/), co-founders who have known each other for over a decade. We were roommates in San Francisco and previously collaborated at Addepar, developing wealth management software, and at Zenefits, building benefits and payroll solutions. Before founding Tiny, Louis served as VP of Design at BitGo, and Ed led the scaling of Apple’s Services API gateway from the ground up.\n\n# **How You Can Help**\n\nWe’d love introductions to anyone connected with factories who might benefit from a more streamlined, cost-effective solution.\n\n![uploaded image](/media/?type=post&id=85625&key=user_uploads/89898/57d5d166-e0c1-4aa8-b796-927ab003ce9d)\n\n",
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        "full_name": "Abhilash Chowdhary",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/crustdata/jobs/i8DPKdj-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "title": "Software Engineering Intern (Forward Deployed) | Summer 2026 ",
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        "location": "San Francisco, CA, US",
        "type": "Internship",
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        "visa": "US citizen/visa only",
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        "id": 91923,
        "title": "Founding ML Engineer",
        "url": "https://www.ycombinator.com/companies/crustdata/jobs/CwnavTo-founding-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "Torch/PyTorch",
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      {
        "id": 92052,
        "title": "Founding ML Engineer (India)",
        "url": "https://www.ycombinator.com/companies/crustdata/jobs/6nLAmRx-founding-ml-engineer-india",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "₹7M - ₹18.5M INR",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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      {
        "id": 92163,
        "title": "ML Engineer Intern | Summer 2026",
        "url": "https://www.ycombinator.com/companies/crustdata/jobs/NS9hTSC-ml-engineer-intern-summer-2026",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
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        "title": "Crustdata closes $6M seed round",
        "url": "https://crustdata.com/blog/crustdata-closes-6m-seed-round",
        "date": "Oct 23, 2025"
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    "launches": [
      {
        "id": 97527,
        "title": "Crustdata - Web Search API for AI Agents",
        "tagline": "Fastest and most accurate web search API for people, companies and events",
        "body": "Hey everyone! 👋\n\nWe’re **Chris, Abhilash, and Manmohit** - founders of [**Crustdata**](https://crustdata.com) (YC F24). We’re restructuring the web for AI agents by building the **first search engine built specifically for AI agents** to find information on **people, companies, and events**.\n\nThis launch is our [**Web Search API**](https://crustdata.com/apis/websearch) - the fastest, most accurate way for agents to get **structured, fresh web data** they can actually act on.\n\n🎥 Demo video 👇\n\n<https://www.youtube.com/watch?v=IouWW97hBN8>\n\n## **TL;DR**\n\n* 🧠 [**Web Search API**](https://crustdata.com/apis/websearch) for AI agents: real-time search + fetch → structured data mapped to a canonical entity\n* 🧩 Proprietary indexing algorithm that **maps every relevant web document back to the correct person/company entity**\n* 🏗 Built on **2 years of verified people + firmographic data APIs**, now extended to index the rest of the web\n* 🔎 Pair it with our [**People Search API**](https://crustdata.com/apis/people-discovery) to find the right people, then pull the freshest context from the web\n\n![uploaded image](/media/?type=post&id=97527&key=user_uploads/508558/e3f61603-9266-4b39-8714-3b48fb680d25)\n\n## **Problem**\n\nThe web has _everything_ about people and companies - funding posts, blogs, GitHub, research papers, podcasts, job changes, pricing pages, news - but it’s:\n\n* scattered across **billions of pages**\n* written for **humans**\n* hard for AI to **reliably connect** into one coherent view\n\nSo agents either:\n\n1. scrape brittle HTML and break constantly, or\n2. use stale databases and miss what changed this week.\n\n## **Solution**\n\nWe spent **2 years** building **verified People + Company APIs**. That gave us high-confidence entity profiles.\n\nNow we’re indexing the **rest of the web** and building a proprietary indexing algorithm that:\n\n1. finds every relevant document about a person/company\n2. **maps it to the right entity**\n3. returns it as **structured data** that agents can use immediately\n\nThat’s the foundation of [**Crustdata Web Search API**](https://crustdata.com/apis/websearch).\n\nThink: **a search engine for agents**, where the output isn’t “10 blue links,” but **entity-linked, structured, fresh context from the web**.\n\n---\n\n## **What you can build with it**\n\n### **AI SDR / GTM agents**\n\n* Get the **latest** proof points on a company (launches, funding, exec moves, pricing changes)\n* Generate personalization that’s actually timely\n\n### **Recruiting / sourcing agents**\n\n* Identify candidates with the right background using [**People Search API**](https://crustdata.com/apis/people-discovery)\n* Pull the newest context (papers, talks, open source projects, blog posts, news, events) via [**Web Search API**](https://crustdata.com/apis/websearch)\n\n### **Research / diligence agents**\n\n* Track a market/category and continuously attach new web documents to the right companies/people\n* Turn web noise into structured signals\n\n---\n\n## **Our ask**\n\nIf you’re building an **AI agent** or **GTM tool** and need **real-time people + company data from the web**, check out [**Crustdata**](https://crustdata.com).\n\n* Docs / access: [**Web Search API**](https://crustdata.com/apis/websearch)\n* People discovery: [**People Search API**](https://crustdata.com/apis/people-discovery)\n* Book a demo: <https://crustdata.com/demo>",
        "url": "https://www.ycombinator.com/launches/PN1-crustdata-web-search-api-for-ai-agents",
        "votes": 79,
        "created_at": "2026-02-05T19:12:57.968Z"
      },
      {
        "id": 84955,
        "title": "Crustdata: Live Company and People Data via APIs",
        "tagline": "Enrich, search, or watch any person or company in real-time",
        "body": "**TL;DR**\n\nWe’re building Crustdata which provides live company and people data via APIs and webhooks. We let you watch, enrich, or search for any person or company on LinkedIn - and get updates in real-time.\n\n**🚩 Problem**\n\nGetting fresh, reliable, accurate B2B data at scale is hard.\n\nIn 2024, data needs to be live and pinpoint accurate, but most data platforms source from unreliable, poorly maintained 3rd party sources. And the data isn’t updated frequently — monthly, if you’re lucky.\n\nAny company trying to add an intelligence layer to their system or process needs data.\n\nProblem: it’s an incredible technology challenge to do that at scale.\n\n**✅ Solution**\n\nWe have developed technology that allows us to index and pipe in live data from almost any data source. Currently, we do this at scale from sources including LinkedIn, the SEC, funding announcements and milestones, employee ratings, product reviews, web traffic -  and deliver this data instantly to our customers.\n\nOur technology also enables you to ‘watch’ companies and people on a live basis. Get monthly, weekly, daily, hourly, or instant updates when a predefined event happens.\n\nEvents like:\n\n\\- Company grows or declines in headcount\n\n\\- Company grows in headcount by certain role\n\n\\- Company grows in certain headcount in specific regions\n\n\\- Company hires for specific technologies or titles in specific regions\n\n\\- Company lists a job posting for a certain title or technology\n\n\\- Company announces or closes funding round\n\n\\- Company gets a new product review\n\n\\- Person changes jobs\n\n\\- Person gets a promotion\n\n\\- Person adds a new skill\n\n\\- Company or Person makes a LinkedIn post\n\n▶️ **Demo**\n\n<https://youtu.be/TwUYDCrdLvk>\n\n**🕰️ Why now**\n\nClean, fresh, and accurate data is becoming increasingly important. The age of AI is producing whole new product lines and allowing companies to make their sales process smart.\n\nThere are AI SDR companies that are totally reliant on fresh, primary source data to run their whole process.\n\nB2B sales teams are depending on appropriate triggers to make sure they are reaching out to the right person at the right time.\n\nCustomer success teams need to track key personnel at their customers, in real-time.\n\nGrowth equity investors are shifting towards in-house data stacks and models to do their entire deal sourcing.\n\nEarly stage startups need a data-driven approach in GTM research to identify the right market they can plant their wedge in.\n\n**🧑🏽‍🤝‍🧑🏻 Team**\n\nWe have a decade plus experience building our own separate VC-backed data products. We have spent an inordinate amount of time on the problem which has allowed us to have a unique insight and experience that is tough to replicate.\n\n**🌟 Big vision**\n\nThe majority of knowledge work in future will be done by AI agents. Our goal is to wield the web as the data warehouse for the AI agents of the future, starting with people and company data.\n\n[🙋‍♂️](https://emojipedia.org/man-raising-hand)**Learn more:**\n\nCheck out our data and API docs if you’re interested:[ **www.crustdata.com**](http://www.crustdata.com)\n\n![uploaded image](/media/?type=post&id=84955&key=user_uploads/508558/01e10e21-f749-4d57-9b85-4c12d359db1f)\n\n",
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        "votes": 38,
        "created_at": "2024-10-22T20:45:13.129Z"
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    "name": "AutoComputer",
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    "website": "https://www.autocomputer.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We provide data research and post-training research services to help companies turn their traces into environments for evaluation and post-training.",
    "one_liner": "Forward Deployed Research Services",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
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    "regions": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/autocomputer",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/autocomputer.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 331625,
        "full_name": "Madhav Singhal",
        "title": "Founder/CEO",
        "founder_bio": "Researcher and engineer.\n\nBefore this, I worked at Replit and was one of the first engineers on its AI team where I led research and training for all of Replit’s code models, and worked on data infrastructure, Replit’s core AI services, and Replit Agent. ",
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      {
        "id": 85524,
        "title": "AutoComputer - Zero setup AI automation for your computer",
        "tagline": "AI automation for your computer that predicts the next steps in your workflow, completing them with a single keystroke",
        "body": "AutoComputer helps you automate and accelerate workflows on your computer without any explicit configuration, while keeping you in-charge.\n\nWith just a prompt and your recent activity, our desktop AI system starts predicting the next sequence of actions – keystrokes, text input, mouse clicks – that you can keep accepting with a single keystroke. This saves you time and effort while providing you complete visibility and control over the completed tasks.\n\nWe’re starting with helping businesses and enterprises automate repetitive, but business-critical workflows such as financial data entry, record keeping, and transaction matching.\n\nWatch our demo video below to see AutoComputer in action!\n\n<https://youtu.be/tcFpwrvB7FE>\n\n---\n\n\\\n \n\n## The Context\n\nAs engineers, we have tools like Github Copilot, Cursor and software engineering agents that help us accelerate and automate large swaths of our programming workflows with AI.\n\nHowever, outside programming, this is not the case. Many professionals in roles such as accounting, consulting and bizops have repetitive, critical workflows that they want to accelerate or automate with software, but they don’t yet have an ideal solution for this.\n\n---\n\n\\\n \n\n## The Problem\n\nBased on talking to these users, we learnt that the current generation of RPA and AI Agent-driven automation solutions for their workflows have 3 core issues:\n\n**Trust and Accountability**\n\nFor many tasks they need to ensure accuracy and take accountability. So RPA and Agents that just go off do the task for them are not a viable option. They **need full visibility and control** while the automation executes.\n\n**Configuration Complexity**\n\nReal-world workflows are complex and span multiple apps and files. Many solutions can’t handle them without the **heavy setup, onboarding, or migration required** with the current generation of RPA tools or AI agent-driven automation solutions.\n\n**Automation Flexibility**\n\nWorkflows change frequently across formats and tools and they want automations that can adapt on the fly without reconfiguration. Most **automations fail on the slightest variation** in data formats, schemas or sources introduced when they had new clients, cases and customers.\n\n---\n\n\\\n \n\n## The Solution\n\nWith just a prompt, our desktop AI system automates steps for any complex computer usage workflow that they can accept with a single keystroke. It makes repetitive but critical workflows such as financial data entry 2-5x faster, while providing complete visibility, control, and adaptability—all without requiring any setup, recording, or onboarding to a new platform.\n\nHere’s a how it works:\n\n1. The user opens the AutoComputer app on Windows/MacOS and provides a prompt for their task.\n2. AutoComputer understands the context of the task and comes up with a sequence of automated steps of mouse and keyboard input to complete the task.\n3. The user can simply evaluate and proceed through accepting the automated steps with a single key press, or correct or reject at the granular level without having to fix or re-run the whole workflow.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdA-_EassCAkh3NIgYNUy0QtBbuSm3b7rDw_Wdv-gvjYtwkxNH8_TJV7Cwi3084NeHRmOA2ouoeQCVdtvbBRH1JwGpxj0zSDiSWS0MfGTMbXQWV_o0pD_ZyNPEksny-Vysd8TglgW7oVXIukQ71ePbewo7R?key=-egX7nlYaXVPDP4d-BBxFX_D)\n\n---\n\n\\\n \n\n## The Team\n\nWe are [Madhav](https://x.com/madhavsinghal_) and [Rick](https://www.linkedin.com/in/rick-sugden-4a427b180/).\n\nWe met at university \\~7 years ago while doing research in Physics. We have been friends and roommates and have hacked on multiple research and side projects together.\n\nRick recently dropped out of his PhD where he worked on training transformers on brain-wave data for diagnosis, and built the first at-home brain-tumour monitoring system which he patented.\n\nMadhav worked at Replit as one of the first engineers on the AI team where he led research and training for all of Replit’s models, and worked on data infrastructure, Replit’s core AI services and, most recently, Replit Agent.\n\nBased on our experience in AI research and building products like the Replit Agent, we believe that SOTA models are just crossing the threshold of capability where they can start usefully automating and accelerating large parts of knowledge work beyond just software engineering. We are building AutoComputer to realize this for ourselves and for our users.\n\n---\n\n \\\n \n\n## Our Ask\n\nIf you are an enterprise or a business with teams doing repetitive back office workflows like data entry, who can benefit from AutoComputer, reach out to us at: [founders@autocomputer.ai](mailto:founders@autocomputer.ai)\n\nIf you are an individual or employee who wants to use AutoComputer to accelerate your workflows, you can sign up for our waitlist on <https://www.autocomputer.ai/>.",
        "url": "https://www.ycombinator.com/launches/MFQ-autocomputer-zero-setup-ai-automation-for-your-computer",
        "votes": 27,
        "created_at": "2024-11-13T04:55:55.020Z"
      }
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    "id": 30078,
    "name": "Abundant",
    "slug": "abundant",
    "former_names": [
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    "website": "https://www.abundant.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hello! 👋\r\n\r\nWe are a team of former ML engineers, founders, roboticists and ops leads who obsess about data and its impact on safe, reliable AI.\r\n\r\nWe specialize in creating environments and datasets for RL by leveraging our experience in simulation and model training.\r\n\r\nBy the numbers:\r\n  • Powering 3 of the top 6 global AI labs and multiple Fortune 500 enterprises\r\n  • Billions of training tokens generated each month, 2x month over month\r\n  • Exclusive, global network of over 500 domain experts\r\n\r\nWe believe humans are inherently creative, and thrive by pushing the frontier.\r\n\r\nWe are working towards an abundant future--one where everyone has access to infinite intelligence, services and goods.\r\n\r\nBased in San Francisco, CA. We enjoy good food and good company.\r\n\r\n-- more info below --\r\n\r\nAbundant is building the NVIDIA of training data. AI models rely on two fundamental ingredients: compute and data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience.\r\n\r\nOur founding team consists of second-time founders, ML engineers and data leads from Waymo, Google, Meta and AWS. Our team has previously collaborated with DeepMind to classify hate speech in YouTube videos, trained SOTA models for self-driving, and scaled data pipelines with thousands of human annotators. Our pioneering work in human computation, synthetic data, imitation learning and RL give us a solid advantage in delivering results to our customers.\r\n\r\nWhy now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require new, diverse, and high-quality datasets, making training data more important and scarce than ever before.\r\n\r\nWhat happens if we succeed? Abundant will be the core enabler for AGI and beyond. Most of the challenges in model training are already solved. What’s missing is the data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from digital intelligence to physical AI. Ask any AI researcher or roboticist: the core bottleneck to progress is the availability of data, i.e. “abundant data”.\r\n\r\nAbundant works with the most advanced AI labs and startups, as well as F500 enterprises.",
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        "full_name": "Jesse Hu",
        "title": "Founder",
        "founder_bio": "Working towards an abundant future. ex-Waymo ML engineer.",
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        "user_id": 1890020,
        "full_name": "Meji Abidoye",
        "title": "Founder",
        "founder_bio": "datum.",
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        "user_id": 1694208,
        "full_name": "Ke Huang",
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        "id": 98753,
        "title": "Member of Technical Staff, Platform Engineering",
        "url": "https://www.ycombinator.com/companies/abundant/jobs/qj6SIWp-member-of-technical-staff-platform-engineering",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$135K - $220K",
        "equity_range": "0.50% - 1.00%",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
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        "title": "Research Product Manager (RPM)",
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        "user_id": 1543392,
        "full_name": "Jeevan Jutla",
        "title": "Founder/CEO",
        "founder_bio": "Jeevan, Co-Founder and CEO of Gecko Security, has previously worked as a security researcher for UK Intelligence, where he built automated security tools. He’s ranked in the top 500 globally for competitive hacking and has co-developed machine learning tools for vulnerability research, 3 years ahead of public research.",
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      {
        "user_id": 1969797,
        "full_name": "Artemiy Malyshau",
        "title": "Founder/CTO",
        "founder_bio": "Artemiy is the CTO and Co-Founder at Gecko Security. He holds an MSc from Imperial College London, where he was a scholar. He contributed to research in multi-agent systems and reinforcement learning. Prior, he developed threat intelligence software for Interpol and national governments.",
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      {
        "id": 92703,
        "title": "Gecko Security: AI SAST for finding Vulnerabilities in Code",
        "tagline": "30+ 0-Days found using Gecko",
        "body": "**TL;DR:** Static analysis tools flood teams with false positives and miss the vulnerabilities that matter. We use LLMs to find the complex business logic flaws that traditional scanners can't detect.\n\n![uploaded image](/media/?type=post&id=92703&key=user_uploads/1969797/42239d23-2918-4c49-bc6d-38a1955fc1c7)\n\n# **The Problem**\n\nCompanies scan their code for security vulnerabilities and are often met with a big pile of findings. 80% of these findings are false positives and not exploitable vulnerabilities. Even among the true positives, these scanners still miss issues like privilege escalation and authentication bypasses. These are the most important issues that only surface later during manual code review or penetration testing.\n\nSecurity teams have to deal with this by spending hours tuning scanners and rules or hiring headcount to triage through the false positives. This translates into delayed releases, overtime costs, and compliance risks when critical flaws slip through undetected.\n\n# **The Solution**\n\nTraditional SAST (Static Application Security Testing) tools have two fundamental limitations. First, they parse code into simplistic models like ASTs or call graphs, which lose context and can't resolve complex call chains. Second, they rely on pattern matching against predefined rules, which works for basic vulnerabilities like XSS and SQLi but fails completely for custom business logic flaws.\n\nGecko solves both problems. We built a custom, compiler-accurate indexer that preserves semantic information and allows us to precisely navigate code like an IDE. This gives us the ground truth of how your code actually works.\n\nWith that foundation, we use LLMs to perform threat modeling. The LLM analyzes your code's business logic, data flows, and trust boundaries to generate targeted attack scenarios. We then systematically validate each potential attack path, using the indexer to reconstruct full call chains from source to sink and determine real-world exploitability before flagging it as a vulnerability.\n\nThis approach finds the complex, multi-step business logic vulnerabilities that have been invisible to traditional tools.\n\n# **Ask**\n\nWe've got a handful of Fortune 500 companies and startups alike excited about this, because it addresses key pain points they couldn’t address with traditional scanners. Customers are seeing 50% fewer false positives on the same codebases, and are finding issues using the scanner that would only appear in pentests and manual code reviews.\n\nWe’ve used it to find 30+ CVEs in projects like Ollama, Gradio, and Ragflow (<https://www.gecko.security/research>). You can [try it on any OSS repo](https://app.gecko.security) at or [get a demo](https://cal.com/geckosec/30min).\n\n# **Team**\n\nJJ and Artemiy met four years ago while studying in London. Since then, they have traveled the world competing in CTFs and hackathons, earning over $100,000 in prizes.\n\nJJ, CEO and Co-founder, previously worked for the UK Intelligence Service, as a teenager building automated tooling to defend critical infrastructure. He also worked at Binance in China leading security tool development for the Red Team. \n\nArtemiy, CTO and Co-founder, served in the Austrian Cyberforces and built threat intelligence platforms used by Interpol and national governments. A scholar of Imperial College London, he’s spent his career developing systems that detect and respond to complex cyber threats",
        "url": "https://www.ycombinator.com/launches/O7D-gecko-security-ai-sast-for-finding-vulnerabilities-in-code",
        "votes": 22,
        "created_at": "2025-08-04T18:13:52.289Z"
      },
      {
        "id": 84816,
        "title": "Gecko Security: Your AI Security Engineer",
        "tagline": "Gecko is an AI SAST for finding and fixes security vulnerabilities in your codebase. It's just like having a security engineer making your code secure.",
        "body": "**TL;DR:** We built [Gecko](https://gecko.security/) for teams that want to build secure code quickly without wasting time on tools that don’t deliver results, or relying on one-time human pentests that quickly become outdated.\n\n![uploaded image](/media/?type=post&id=84816&key=user_uploads/1969797/81233561-38af-49a4-b7ed-03f61aa03ae0)\n\n### **The Problem**\n\nMost developers tell us they think of security as an afterthought, added out of fear rather than part of the development process at the start. This is because current security tools **can’t find critical business logic vulnerabilities**, which are the ones attackers actually exploit, and instead flag low-priority issues with many **false positives**. This makes fixing these issues slow and costly, **pulling engineers away from building** features that grow revenue.\n\n### **The Solution**\n\nGecko uses AI to understand how your application should work, simulates relevant attacks to find critical vulnerabilities, and then verifies these vulnerabilities by exploiting them. It also helps you understand the risk of these vulnerabilities and applies a working fix to **continuously** **keep your code secure**. [Watch our demo here!](https://www.youtube.com/watch?v=ObuItEP3rZk)\n\n### **Technical Details**\n\nAt a high level, Gecko mimics the approach of skilled security experts by using LLM agents combined with program analysis tools like static analyzers, fuzzers, and symbolic executors, which were previously **only used in intelligence agencies**. For fixing vulnerabilities, Gecko uses multiple agents to iteratively refine the patches - ensuring the vulnerability is remediated, and your code isn’t broken. All testing is done in parallel with certified human pentesters, as we continue to benchmark Gecko’s performance to ensure no vulnerabilities are overlooked.\n\n### **Ask**\n\n**Do you have code that needs to be secured?** Email us at [**gecko@gecko.security**](mailto:gecko@gecko.security) or book a demo at [**https://cal.com/geckosec/15min**](https://cal.com/geckosec/15min).\n\n### **Team**\n\n[JJ](https://www.linkedin.com/in/jeevan-jutla/) and [Artemiy](https://www.linkedin.com/in/artemiy-malyshau/) met four years ago while studying in London. Since then, they have traveled the world competing in CTFs and hackathons, earning over $100,000 in prizes. \n\nJJ previously worked for the UK Intelligence Service (GCHQ), as a teenager building automated tooling to defend critical infrastructure. He also worked at Binance in China leading security tool development for the Red Team.\n\nArtemiy holds an MSc from Imperial College London, where he was a scholar. He has contributed to research in multi-agent systems and reinforcement learning. As the first employee and only non-PhD member at his previous company, he developed threat intelligence software for Interpol and national governments. \n\nBoth are deeply committed to cybersecurity and AI, and are focused on solving one of the industry's most challenging problems.",
        "url": "https://www.ycombinator.com/launches/M40-gecko-security-your-ai-security-engineer",
        "votes": 81,
        "created_at": "2024-10-16T21:47:06.425Z"
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    "long_description": "Origami is the first AI that automatically gets customers for you. Enter your domain, and let it start working.\r\n\r\nUsed daily by 10,000+ businesses, Origami gets smarter everyday - learning from your campaigns to find better buyers and drive more revenue for you. On average, customers get 3-6x more positive replies than traditional outbound.\r\n\r\nOrigami combines Outbound, Lead Generation, Website Visitors Identification, Viral Content & more, starting at $29/month.",
    "one_liner": "Enter your domain & Origami gets you customers.",
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    "industry": "B2B",
    "subindustry": "B2B -> Sales",
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        "full_name": "Finn Mallery",
        "title": "Founder/CEO",
        "founder_bio": "Find your perfect customers with a prompt, start free → origami.chat",
        "is_active": true,
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        "full_name": "Kenson Chung",
        "title": "Founder/CTO",
        "founder_bio": "Former CTO of an enterprise sales platform. Engineered research workflows used by sales teams at companies with $1B+ in revenue. CS dropout from UCL.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kenson-chung-837849230/",
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        "title": "Y Combinator’s hottest startup, Origami Agents, secures $2M seed round to supercharge sales teams with AI | VentureBeat",
        "url": "https://venturebeat.com/ai/y-combinators-hottest-startup-origami-agents-secures-2m-seed-round-to-supercharge-sales-teams-with-ai/",
        "date": "Jan 24, 2025"
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      {
        "id": 85537,
        "title": "Origami 🕊️ — Find who's looking",
        "tagline": "AI agents that find you companies actively searching for your solution",
        "body": "Hi everyone, we’re [Finn](https://www.linkedin.com/in/~finn/) and [Kenson](https://www.linkedin.com/in/~kenson/) - cofounders of Origami.\n\n### TL;DR\n\nWe train AI research agents to help you find leads at the point of maximum buying intent. Our agents scour the internet to surface the 99% of insights that exist beyond structured databases for you.\n\n<https://youtu.be/gTavVBPGkLU>\n\n### The problem: outbound sales in 2024 is broken\n\nResponse rates have hit rock bottom and quotas are going unmet while companies continue bombarding prospects pulled from the same databases with the same signals.\n\nThey're missing the one thing that matters most: reaching buyers when they're ready to purchase.\n\n### Our solution: Agents scouring the web to find you interested buyers\n\nAt our last companies, we solved this by building AI agents to make sense of niche sources — product reviews, google activity, linkedin engagements, and dozens of others. This immediately became the biggest lever of customer success.\n\n![uploaded image](/media/?type=post&id=85537&key=user_uploads/713453/a357b0d1-a22c-4eee-b08d-7a5ff25feeba)\n\nWe’re realizing the power of the entire internet’s unstructured data by building a generalized solution any company can make use of. Our agents work around the clock to spot high-potential buyers, providing actionable, human-like insights for each one.\n\n### We’ll find you buyers!\n\nThere’s enough information on the internet to know who already wants your solution, let Origami help you find it: [origami.chat](https://origami.chat)\n\nCan’t find time or have a question? Reach out to [finn@origamiagents.com](mailto:finn@origamiagents.com)\n\nSee our other launches on [X](https://x.com/fin465/status/1856774380233396309) and [LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7262544301073530880/).",
        "url": "https://www.ycombinator.com/launches/MFd-origami-find-who-s-looking",
        "votes": 94,
        "created_at": "2024-11-13T17:43:00.486Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Orchestrate an army of coding agents from one dashboard. Ship entire sprints in parallel.",
    "one_liner": "The IDE for the parallel age",
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1730261485,
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/capy",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/capydotai",
    "x_url": "https://twitter.com/capydotai",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 531507,
        "full_name": "Nalin Semwal",
        "title": "Founder/CEO",
        "founder_bio": "building the AI SWE @Capy",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nsemwal",
        "x_url": "https://x.com/lordspline",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61987d2262cb9d3bb95a480e2aa79fe1c592d0d2.jpg"
      },
      {
        "user_id": 1520005,
        "full_name": "Justin Sun",
        "title": "Founder/CTO",
        "founder_bio": "cofounder @ capy (f24)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/justinsunyt",
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      {
        "id": 72482,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/capy/jobs/FBbRyVg-founding-design-engineer",
        "location": "SF",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 72483,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/capy/jobs/FuQPALB-founding-engineer",
        "location": "SF",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
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        "experience": "Any (new grads ok)",
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      {
        "id": 85645,
        "title": "Scrapybara - A Computer for Your AI ₍ᐢ•(ܫ)•ᐢ₎",
        "tagline": "API-accessible computer environments purpose-built for AI agents.",
        "body": "Hey YC! Nalin and Justin here; we’re building [Scrapybara](https://scrapybara.com) to help you deploy AI agents that can use computers. We handle deployment, maintenance and scaling so your agent just sees 👇\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/8e055289-f7a9-42f4-895e-df83e7a61e28)\n\n**TL;DR**\n\n**_Deploy and productionize computer use._**\n\nScrapybara provides instant, secure virtual desktop environments via API for AI agents to perform tasks. We reduce deployment time from hours to seconds through our purpose-built platform.\n\n[https://youtu.be/ZjPTAb5bg-w](https://youtu.be/ZjPTAb5bg-w?si=8PVUmhtHmdC6iPr2)\n\n## 💻 For Instance\n\n* _A **Market Research Firm** could have their agent browse news sites, create summaries, and update their internal dashboards, all on Scrapybara_\n* _A **Healthcare Administrator** could use agents to process insurance forms and operate ERP software (even the kind that only runs on desktops), all on Scrapybara_\n* _A **Sales Development Representative** could use agents to find information on leads, reach out to them and update their Salesforce, all on Scrapybara_\n\n## 🚨 The Problem: AI Needs a Safe Place to Execute\n\nAI agents are becoming increasingly capable of writing code, analyzing data, and performing complex tasks. However, there's a critical missing piece: a secure, scalable environment where these agents can actually take actions. Current solutions force developers to choose between:\n\n* Using APIs (limited, inflexible)\n* Using browsers (unstable)\n\n**_Don’t run AI agents on your own computer._**\n\n## 💡 Our Solution: Purpose-Built Computers for AI\n\nScrapybara provides instant, secure virtual environments via API that spin up within seconds and are specifically designed for AI agents:\n\n🚀 **Speed**\n\n* Environment creation in seconds\n* Pre-warmed container pool\n* Optimized runtime layers\n\n🔒 **Security**\n\n* Isolated execution environments\n* Resource limits and timeouts\n\n💰 **Cost Optimization**\n\n* True per-second billing\n* Zero idle costs\n* Automatic resource scaling\n\n🔌 **Simple Integration**\n\n* REST API\n* Popular language SDKs\n* One-line deployment\n* Built-in monitoring\n* Plug and play with Claude’s Computer Use\n\n## 🤖 Getting Started\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/3d2131de-561f-44d6-b067-ca4ec82d4da8)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/9cf26326-1a29-462f-a521-7756714eba11)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/47fbd307-bf81-4be9-9286-f54124f7f512)\n\nTaking screenshots:\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/df36a97f-b1c3-445f-b15d-412ef6cc63ca)\n\nTaking actions:\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/bf4cb53b-f5e5-4542-a141-f3c2a02a9496)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/594f98c1-7eb1-4862-9fb8-d81f02f9547d)\n\n## ♾️ Limitless Possibilities\n\nPlug your multimodal agents into Scrapybara and empower them to automate all kinds of work. The only limit is your imagination.\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/e3cc5c6b-07db-4c3d-8476-0bc6d19e30ca)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/de5d45bb-0019-48a9-950a-813d679df759)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/5e0a5cfa-4f38-4b3b-a741-b2ab96c868c3)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/ab7a4ed5-9d84-4e62-a560-88ac1a9a32fa)\n\n## 🚧 Coming Soon\n\n* Windows, Android, and other virtual OS’s\n* Dedicated Code Execution Sandboxes\n* and much more!\n\n## 👾 About Us\n\n* Nalin: AI Research @ MultiOn | LLM Agent Research @ Georgia Tech\n* Justin: AI Product @ MultiOn | M&T @ UPenn\n\nWe met at MultiOn where we led B2B and consumer web agent development and built the best-in-class web extraction API (Retrieve).\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/1053d2e9-2ea6-4e29-8b4e-1d37da808e5d)\n\n## The Ask\n\n1. **Try it out**: Building general-purpose or vertical-specific agents that could do with computer use? Go to [scrapybara.com](http://scrapybara.com)!\n2. **Intro us**: Know someone who could use this? We'd love an intro!\n3. **This is cool I just want to chat about it**: Heck yeah! Email us 👇\n\nContact: [hello@scrapybara.com](mailto:hello@scrapybara.com) \\\nLinkedIn: <https://linkedin.com/company/scrapybara> \\\nX: <https://x.com/scrapybara>\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/80b9b821-8e48-4f0a-9583-68008d3309ca)\n\n",
        "url": "https://www.ycombinator.com/launches/MHN-scrapybara-a-computer-for-your-ai",
        "votes": 74,
        "created_at": "2024-11-18T04:54:22.279Z"
      }
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    "id": 30099,
    "name": "Gander",
    "slug": "gander",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/103e5e968261b6e0f5f380738a8663b4974fa3c8.png",
    "website": "https://usegander.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Gander is building AI-powered technology that allows private jet operators to coordinate, maintain, and monetize their fleets all in one place.",
    "one_liner": "Automation System for Global Aviation",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1731944906,
    "tags": [
      "SaaS",
      "Aerospace",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Acquired",
    "industries": [
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      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/gander",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/gander.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usegander",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/103e5e968261b6e0f5f380738a8663b4974fa3c8.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 342828,
        "full_name": "Arjan Guglani",
        "title": "Founder/CEO",
        "founder_bio": "Building LLMs for the Aviation Industry. Prev United, American, and Insight Partners",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arjanguglani",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4170f9127ae6f932e09ca881daa59cde20942f67.jpg"
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    "id": 30100,
    "name": "Alex",
    "slug": "alex",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/211bbe719ecb6e8800789a12c674df98b2a1fb49.png",
    "website": "https://alexcodes.app",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tired of switching tabs to cursor every time you're building your iOS app in Xcode?\r\n\r\nWorry not!\r\n\r\nAlex is a sidebar app that works directly with Xcode, and has the same Cmd+L, Cmd+K, and Apply Code commands as Cursor. And, it's super fast.\r\n\r\nCheck it out: https://alexcodes.app",
    "one_liner": "The Cursor for Xcode",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1728718432,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/alex",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/alex.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/alex-sidebar/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/211bbe719ecb6e8800789a12c674df98b2a1fb49.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 559658,
        "full_name": "Daniel Edrisian",
        "title": "Founder/CEO",
        "founder_bio": "I'm an iOS Engineer, formerly built the iOS app for ElevenLabs and was a founding engineer at FlutterFlow (YC W21). Prior to that, I interned at Apple, Meta, and Google.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-edrisian/",
        "x_url": "https://x.com/DanielEdrisian",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fad67bd1d4b6c2544dc88ad99cdf8486c3e0bd7.jpg"
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    "jobs": [
      {
        "id": 70860,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/alex/jobs/uB3KJ2P-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1",
        "equity_range": "1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 85378,
        "title": "Alex Sidebar: The Cursor for Xcode",
        "tagline": "The most powerful Copilot for iOS Development",
        "body": "**Hey there!**\n\nMy name is Daniel, and I'm the founder of Alex: The missing sidebar for Xcode 🍏\n\nBeing an iOS Developer since I was 13, Xcode is rooted in my DNA. I admittedly really like Xcode (when it’s not crashing), and I find it feature-complete for _almost_ everything I need as a developer — except one: **AI codegen**. That’s where Alex comes in.\n\n[Alex - Your AI Copilot for Xcode](https://www.youtube.com/watch?v=CEefIxm-WdA)\n\n**TL;DR 🧵**\n\nAlex is like Cursor for Xcode, and gives you AI features like sidebar chat, inline completions, and tab to complete. **Since launching last week, over 1200 users** **have signed up for Alex, and hundreds are using it every day for their work.**\n\nWe want to make Software Development easier for the 3+ million people who use Xcode. Check out our website to get started!\n\n<https://alexcodes.app>\n\n# **How does it work?**\n\nAlex interacts with Xcode using MacOS's Accessibility features. It can read what you see on Xcode, and can write to it. It also knows where your cursor is, so it can accurately place the suggestions and \"Fix Error\" buttons.\n\n![uploaded image](/media/?type=post&id=85378&key=user_uploads/559658/8fd0cb1d-44f9-439b-a7e4-ba0f2cfc9a74)\n\n![uploaded image](/media/?type=post&id=85378&key=user_uploads/559658/1748b92b-238a-40b9-8d43-86688a1d5999)\n\nAlex also embeds your Xcode projects for use in Codebase Search. We let you connect to any custom OpenAI-compatible model, or use your own keys for OpenAI, Anthropic, Perplexity, and VoyageAI.\n\n# **What next?**\n\nAt Alex, we want to make high-quality iOS development significantly faster. We plan on doing two major things in the future:\n\n1. **Creating the iOS LLMs.**\n\n   With each new iOS release and iOS SDK, new APIs are introduced into Swift and SwiftUI, and more APIs get deprecated. The state-of-the-art models like OpenAI and Anthropic either don't have the latest iOS code baked into their knowledge, or their top-1 retrieval doesn’t correspond with the latest APIs.\n\n   This is because there simply isn't enough training data from new iOS APIs, and not enough data indicating deprecated code. We plan to create our own model, trained using Apple's latest documentation, and available both as large-scale model finetunes for chat, and as smaller scale finetunes for inline suggestions.\n2. **Creating your own local iOS agent.**\n\n   Our long term plan is creating your own local iOS Development agent. Imagine Alex running several tasks in the background: Code refactors, optimizations, tests, documentation, and bug fixing all done in the background — while you do the most exciting part: Feature development.\n\n# **Conclusion (and a signup deal!)**\n\nIt's been exciting to see teams fully switch from their Cursor/Xcode setup to just using Xcode with Alex. We have engineers at dozens of companies already using us for their production iOS codebases, from large online marketplaces to apps for aircraft navigation. ✈️\n\nFeel free to give it a try! (It's free, and you can get **50 free O1-Preview credits** when you sign up.) \n\n[alexcodes.app](http://alexcodes.app)\n\nAnd join us on Discord:\n\n[discord.gg/fwbmYA3fEH](http://discord.gg/fwbmYA3fEH)",
        "url": "https://www.ycombinator.com/launches/MD4-alex-sidebar-the-cursor-for-xcode",
        "votes": 112,
        "created_at": "2024-11-08T14:41:47.545Z"
      }
    ]
  },
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    "id": 30101,
    "name": "Kilvin",
    "slug": "kilvin",
    "former_names": [
      "Chorrie",
      "BrowserBook"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8aa78b8b96db85bb2ce800dc4eae6fc788564af.png",
    "website": "https://www.kilvin.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Kilvin is an AI-native agency that builds custom software solutions for non-technical teams.\r\n\r\nWith AI, the future of software is democratized. Every team deserves tools built exactly for them, not off-the-shelf SaaS products they need to adapt to. Kilvin makes it a reality, delivering a private, secure workspace of custom applications, built around your workflows and ready in days, not months.\r\n\r\nNo engineers needed on your side. Just software that fits exactly how you work.",
    "one_liner": "Custom software for your business",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1731609344,
    "tags": [
      "Developer Tools",
      "Productivity",
      "Data Engineering",
      "Automation",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/kilvin",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/kilvin.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/kilvin-ai/",
    "x_url": "https://x.com/cschlaep",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/kilvin",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8aa78b8b96db85bb2ce800dc4eae6fc788564af.png",
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      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/aa7393d468539a73caee6d9313b35b9881c2cab3.png"
    ],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 739375,
        "full_name": "Christopher Schlaepfer",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Kilvin. https://www.kilvin.ai",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cschlaep/",
        "x_url": "https://x.com/cschlaep",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/392cd705c1908c02f96668e38871dd3f2234f243.jpg"
      },
      {
        "user_id": 1970548,
        "full_name": "Jorrie Brettin",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO of Kilvin. https://www.kilvin.ai\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jorrie-brettin-349a6383/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c28014416ede57d2fe39326db64b2cc5ff2da234.jpg"
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    ],
    "jobs": [
      {
        "id": 96213,
        "title": "Senior Platform Engineer",
        "url": "https://www.ycombinator.com/companies/kilvin/jobs/s3b5Le2-senior-platform-engineer",
        "location": "New York, NY, US / Denver, CO, US / Philadelphia, PA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.01% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Git",
          "Smalltalk",
          "TypeScript",
          "AI Agents"
        ]
      },
      {
        "id": 100106,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/kilvin/jobs/5WEK19z-forward-deployed-engineer",
        "location": "New York, NY, US / Philadelphia, PA, US / Denver, CO, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.01% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Git",
          "TypeScript",
          "AI Agents"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 96111,
        "title": "BrowserBook - The Browser Automation IDE",
        "tagline": "Write, run, and deploy reliable web automations in minutes, not hours",
        "body": "Hey YC!\n\nWe’re [Chris](https://www.linkedin.com/in/cschlaep/) and [Jorrie](https://www.linkedin.com/in/jorrie/), cofounders of [BrowserBook](https://www.browserbook.com).\n\nhttps://youtu.be/FkaGHhJWy1w\n\n# **TLDR**\n\nWe make it trivial for developers to write reliable web automations.\n\n# **Ok, but _what is it?_**\n\nBrowserBook is an IDE that puts all the tools automators need in one place, so the iteration loop to write, test, debug, and deploy web automations is significantly reduced.  It combines:\n\n* **A Jupyter-like coding environment** where developers can run code cells individually,\n* **An inline browser** to run automation code against\n* **A Playwright coding agent** that can write the automation for you\n* **A bunch of built-ins** for taking screenshots, extracting data, and authentication\n\nAnd, once you’re done writing your script, you can deploy it and trigger it via our public API.  It’s super easy!\n\n# **But browser agents are a thing, right?**\n\nYes, and we’re not using them.  We built BrowserBook because of the shortfalls we experienced with browser agents and the pain of actually writing reliable scripts.  At a very high level, in the AI world you can take two approaches to web automation - write scripts, or use browser agents.\n\n1. **Use browser agents:** ostensibly more flexible, but expensive, slow, and unreliable\n2. **Write scripts:** fast and debuggable, but infamously brittle\n\nWhich leads us to…\n\n# **The problem (and how we got here)**\n\n**Sometimes we need machines to interact with web pages, which are made for humans.**\n\nThis is basically the whole challenge.  There’s a lot of reasons we might want machines to poke around on the web:\n\n* Agents using a browser to interact with the web to perform actions like humans, especially when they can’t use APIs\n* Scrapers to gather data that’s useful for our business\n* UI tests that can interact with a website the way a human would to ensure everything’s working as intended\n* Workflow automation via RPA\n\nWe tried **browser agents** in our pre-pivot days to automate healthcare workflows. They mostly didn’t work; they were an order of magnitude more expensive than scripts, slow because of all the context they needed, and tended to drift when workflows got complex.  When they did drift, fixing them was just tedious prompt-massage and trial-and-error.\n\nWe ended up giving the agent a library of scripts to execute, and came to realize scripting was simply the better solution for reliable enterprise workflows; they’re deterministic and therefore inherently debuggable, not to mention their cost and speed advantage.  They with a host of issues though:\n\n* **Websites change often** causing scripts to break. We needed a way to quickly diagnose and iterate on our scripts.\n* **Setting up browser and filesystem infrastructure** is not easy but very necessary in the web automation world.\n* **It’s just annoying to write scripts** - if you’ve ever had to dig around for selectors, you know: it’s tedious and time consuming.\n\nSo we built BrowserBook to solve those issues.\n\n# **How does it work?**\n\n1. **Run code piecemeal** - if you’re fixing a breakage 2/3rds of the way through your script, you shouldn’t have to run the whole thing every time you test it.  We took inspiration from Jupyter notebooks and allow you to run code cells independently, while maintaining context and state:\n\n   ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/f2203cd4-1533-402c-8b17-3147d3d21783)\n\n2. **No more digging for selectors** - tell the coding assistant what to do and it’ll implement the automation logic in Playwright:\n\n   ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/418daacd-b744-4359-84d3-23891d386676)\n\n3. **Built-ins for the hard stuff** - want to take a screenshot?  Log in to a website with 2FA?  Extract data?  We’ve got built-ins for those, ready to go out-of-the-box.\n\n   ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/2acfea26-9c65-4ba4-8983-8e351e75222a)\n\n4. **Accessible via API** - if you need to execute your automation via an agent you’re building, scheduled via a cron job, or as a part of your application, you can trigger automations remotely and watch the playback in-app or via our artifacts API endpoint.\n\n   ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/957ce254-3702-407f-890d-ed8c184824e7)\n\n\n# **Our ask**\n\nTry it out!  If you:\n\n* Run browser automations\n* Are building agents that need to interact with the web\n* Need to write a one-off automation that will make your life easier\n\nBrowserBook is available for download for Mac users [on our website](https://browserbook.com/), and if you’d like you can [book a demo here](https://browserbook.com/demo).\n\nAdditionally, if you know individuals, startups, or teams at larger companies working on browser automations, we’d love to meet them!",
        "url": "https://www.ycombinator.com/launches/P0B-browserbook-the-browser-automation-ide",
        "votes": 74,
        "created_at": "2025-12-10T15:55:19.861Z"
      },
      {
        "id": 85580,
        "title": "Chorrie: turn your SMEs into SWEs",
        "tagline": "Catch errors in your manual processes before they cost you big",
        "body": "# **TL;DR**\n\nWe supercharge your subject matter experts by giving them the tools they need to eliminate errors in heavily manual processes.\n\n**Our current mission:** empower healthcare practices to stop denials and under-billing on their claims before they happen.\n\n# **The Problem**\n\nHealthcare claims processing is an overly-complex, adversarial space. Insurance payers are constantly changing their policies, forcing billing teams to rely on:\n\n* frequent and extensive retraining\n* coding rules worksheets with hundreds of tabs\n* esoteric tribal knowledge\n\nWith so much room for human error, it’s no wonder 73% of healthcare staff surveyed reported that they’re facing increasing denials on outgoing claims.\n\n# **A turnkey solution for medical claims checks**\n\n[Here’s where Chorrie comes in.](https://youtu.be/orI95bsgaio)\n\nChorrie uses AI to empower medical practices to turn their esoteric knowledge into automated checks, saving time, money, and mental effort. We take simple, deterministic instructions, and translate them into a code-based decision tree, which can be continuously run to automate correctness checks for complex rules systems.\n\nTake the example in our video: we get a glimpse at how extensive these rules worksheets can become today, and see how quick & easy it is to automate a rule for claims from a particular location, containing a particular code, billed to a particular insurance payer with Chorrie.\n\n# **Backstops-as-a-service**\n\nOur approach of plaintext ➡️ decision tree ➡️ code generation is a scalable technique that can be used to provide backstop checks (and ultimately automate) high-leverage, deterministic manual processes that are prone to human error (think contract review for legal documents, trade confirmations, etc.).\n\nTo automate checks for these today, you’d need a team of engineers to write the logic into code, and keep them on staff to ensure that code can be updated when the rules change. **With Chorrie, you get:**\n\n* A no-code solution: turn your SMEs into SWEs\n* No hallucinations in your automated workflows\n* Intrinsically deterministic & fully explainable conclusions\n\nWhile the focus today is on reducing claims denials to 0% for our healthcare clients, we plan to explore use cases in other fields in the future.\n\n# **About us**\n\nWe are Chris (the **Ch**) and Jorrie (the **orrie**), old friends who met in undergrad at MIT. We met back up years later at Google, where we worked on applied AI for content moderation before we decided it was time to move onto something new.\n\n![uploaded image](/media/?type=post&id=85580&key=user_uploads/739375/ce57cfdc-3b8c-41dc-a8bb-d4bccc866ab0)\n\nAfter brainstorming on a number of projects, Jorrie’s wife, an ophthalmologist, gave us the idea of applying AI to the medical coding world and the rest is history!\n\n# **Our ask**\n\nDo you have any tedious or high-leverage manual processes where errors can cost your business money (Think heavy manual review processes, major transactions that need to be verified, etc.)? Or any contacts in the medical billing world? We’d love to chat.\n\n📧 [**founders@chorrie.com**](https://mailto:founders@chorrie.com)",
        "url": "https://www.ycombinator.com/launches/MGK-chorrie-turn-your-smes-into-swes",
        "votes": 80,
        "created_at": "2024-11-14T22:58:45.072Z"
      }
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    "id": 30103,
    "name": "Metreecs",
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    "website": "https://www.metreecs.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Metreecs helps retailers plan, buy, and allocate products using AI-demand forecasting. We prevent overstock and out-of-stock situations, allowing clients to eliminate waste, free up capital, and drive higher sales.",
    "one_liner": "AI-powered demand forecasting for retail",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1729012958,
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      "Retail Tech",
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
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      "Retail"
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    "regions": [
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      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/metreecs",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/metreecs.json",
    "year_founded": 2024,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/metreecs/",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Thibaut Pellegrin",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Metreecs. Previously co-founded a leather bag company before moving to consulting and growth equity specialised in B2B SaaS.",
        "is_active": true,
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        "full_name": "Martin Dimitrov",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder and COO of Metreecs. Previously led the international expansion of Lydia in Italy, before moving into early stage venture capital where I invested in AI and B2B SaaS startups.",
        "is_active": true,
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        "full_name": "Elie Dufeu",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO of Metreecs. Previously graduated from École Polytechnique in Applied Mathematics and Columbia in Data Science, and developed forecasting models for financial institutions.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/elie-dufeu-goldenberg",
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      {
        "id": 85641,
        "title": "Metreecs - AI-Powered Demand Forecasting For Retailers",
        "tagline": "Smart inventory management with AI",
        "body": "**TL;DR:** Metreecs helps retailers plan, buy, and allocate products using AI-demand forecasting. We prevent overstock and out-of-stock situations, allowing clients to eliminate waste, free up capital, and drive higher sales.\n\n### **Problem 📉**\n\n* **Financial Loss**: Retailers worldwide lose over $1.8 trillion annually due to poor inventory planning. This issue stems primarily from two main problems: overstock and out-of-stock.\n* **Outdated Practices**: Retailers rely on outdated tools like Excel, causing inefficiencies, forecasting errors, and missed opportunities.\n* **Environmental Cost**: Fashion is the 3rd most polluting industry due to massive overproduction: 73% of textiles are burned or landfilled which contributes to 900 million tons of CO2 annually.\n\nIn the world of retail, inventory planning can often feel like a guessing game. One of our prospects, a company with a whopping $250M in revenue, humorously encapsulated this challenge during a recent call:\n\n> **_I quickly review our data and then check my crystal ball to pull a number out of thin air._**\n\nThis playful take highlights a serious issue: without the right tools for accurate demand forecasting, retail planners resort to guesswork.\n\n![uploaded image](/media/?type=post&id=85641&key=user_uploads/1951235/e07d224f-ffef-470b-9a82-2a12ad344d58)\n\n### **Solution 📈**\n\nMetreecs is an **AI demand forecasting software for retailers**. We analyze large sets of internal and external data to predict consumer demand. This helps our clients align their inventory with actual market trends, reducing overproduction, stockouts, and markdowns, all while automating 90% of manual tasks.\n\nOur demand forecasting models drive 3 different modules:\n\n* **Buying:** We ensure that our clients buy the right products, in the right quantities for the right locations.\n* **Reordering:** We anticipate stockouts before they occur, and suggest product replenishments to prevent them.\n* **Rebalancing:** We provide inventory reallocation suggestions to eliminate waste and meet customer demand.\n\n### **Our Team 👬**\n\n* [**@Thibaut Pellegrin**](https://www.linkedin.com/in/thibautpellegrin/) experienced the challenge firsthand—after co-founding a leather bag company and talking with industry experts, he realized there had to be a better way to manage inventory in retail.\n* [**@Elie Dufeu**](https://www.linkedin.com/in/elie-dufeu-goldenberg/), a graduate from École Polytechnique in Applied Mathematics and Columbia in Data Science, developed forecasting models for financial institutions before joining Metreecs.\n* [**@Martin Dimitrov**](https://www.linkedin.com/in/mardimitrov/) led the international expansion of Lydia in Italy, before moving into early stage venture capital where he invested in AI and B2B SaaS startups.\n\n![uploaded image](/media/?type=post&id=85641&key=user_uploads/1951235/1b4e5323-2dcf-4fb3-9c1a-88ca376ece07)\n\n### **Our Ask 🫂**\n\nIf you’ve worked in retail, sold software to retailers, or have connections in the industry, we’d greatly appreciate an introduction!\n\nFeel free to reach out at [**martin@metreecs.com**](mailto:martin@metreecs.com) or book a slot directly: [**https://calendly.com/martin-metreecs**](https://calendly.com/martin-metreecs)",
        "url": "https://www.ycombinator.com/launches/MHJ-metreecs-ai-powered-demand-forecasting-for-retailers",
        "votes": 136,
        "created_at": "2024-11-18T06:15:29.630Z"
      }
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    "id": 30107,
    "name": "Surge",
    "slug": "surge",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f4a489f75647f08676e6de181d0f4d27016b18f.png",
    "website": "https://surge.app",
    "all_locations": "Lehi, UT, USA",
    "long_description": "Surge is Stripe for telephony. Our team has experience building telephony software at billion dollar scale. Because of increased regulation, Twilio and other SMS APIs take weeks to onboard new customers, but we can get startups onboarded same day. Surge wins by enabling easy carrier registration, better support, and higher level APIs and no code UI components to make implementation easier for startups and developers.",
    "one_liner": "Stripe for telephony",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1731622401,
    "tags": [
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      "SaaS",
      "API",
      "Telecommunications",
      "Infrastructure"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/surge",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/surge.json",
    "year_founded": 2024,
    "city": "Lehi",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/surgeapi",
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    "github_url": "https://github.com/surgeapi",
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      {
        "user_id": 97400,
        "full_name": "Dennis Beatty",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO at Surge (F24), the easiest way for developers to send text messages. Formerly principal engineer over payments at Entrata and early engineer at Podium (W16) where I was a tech lead and senior engineer over the messaging platform and led engineering for the SMS payments product that reached a $2B run rate in year 2.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dnsbty",
        "x_url": "https://x.com/dnsbty",
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      {
        "user_id": 2247072,
        "full_name": "Brett Beatty",
        "title": "Founder",
        "founder_bio": "Co-Founder/CTO at Surge (F24), the easiest way to add text messaging to software. Prior to Surge, I spent six years at Podium (W16) where I was a senior engineer on the Phones team and the account structure team, building the APIs upon which the rest of Podium's products were built. I was very focused on providing five nines of uptime and sub-millisecond response times.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brett-t-beatty",
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      {
        "id": 85595,
        "title": "Surge ⚡ The easiest SMS API for developers",
        "tagline": "Get registered and sending text messages faster than ever before.",
        "body": "[Surge is the easiest way for developers to send and receive text messages.](https://youtu.be/3cTyfiw5jtE)\n\n# **The Problem**\n\nIt used to be easy to start texting with Twilio and other APIs, but after recent carrier compliance changes, you have to jump through hoops and piece together fragmented documentation to get registered. Then you still have to wait 2-3 weeks for approval before you can actually send messages.\n\n![uploaded image](/media/?type=post&id=85595&key=user_uploads/97400/2bd7755f-cbb7-4d0d-ad1f-bfd7f8804db9)\n\nThe big SMS APIs are all now focused on big companies paying them millions of dollars per year. Startups are left with a terrible user experience, unresponsive email support, and a feeling of helplessness when trying to add SMS functionality to our applications.\n\n# **Our Solution**\n\n![uploaded image](/media/?type=post&id=85595&key=user_uploads/97400/17af9950-2bdc-46d5-b7ae-83f4194fbd42)\n\nBy incorporating the new compliance standards into our product from the beginning, Surge lets developers send texts without having to become experts on the registration process first. We provide white glove onboarding to get you through carrier registration or toll-free verification, and we can do it in 1-2 business days (sometimes even same day) instead of the typical 2-3 weeks. And we can get you up and running with a trial in minutes.\n\nOur intuitive REST API and webhooks are designed at a higher level of abstraction than other providers, which helps you simplify your application logic. And if you’d rather write as little code as possible, we even have embeddable low-code UI components that make two-way texting a breeze to set up. On top of that, we offer responsive support to help you figure out any issues you have, no matter your size.\n\n# **Our Team**\n\n[Dennis](https://linkedin.com/in/dnsbty) and [Brett](https://www.linkedin.com/in/brett-t-beatty) are brothers who spent a combined 11 years at Podium (W16) where they worked on communications infrastructure for small businesses. Brett was a senior engineer on the Phones product, and Dennis was a tech lead and senior engineer on the Messenger platform. We’re excited to be building together, and to be taking on a problem that has caused so much frustration for developers like us.\n\n![uploaded image](/media/?type=post&id=85595&key=user_uploads/97400/b94153ab-d83e-404b-a1d8-be5068d37906)\n\nIf you’re currently using Twilio or another SMS API, please reach out! Even if you have no interest in switching providers, we would love to hear about your experience. [Book time on my calendar](https://cal.com/team/surge/sms-chat-from-yc-launch), or reach out to [ycdirectory@surgemsg.com.](mailto:ycdirectory@surgemsg.com)",
        "url": "https://www.ycombinator.com/launches/MGZ-surge-the-easiest-sms-api-for-developers",
        "votes": 42,
        "created_at": "2024-11-15T18:20:36.034Z"
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    "id": 30108,
    "name": "Struct",
    "slug": "struct-ai",
    "former_names": [
      "Bramble",
      "Edgedive"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f292fd64c9e2943d040e390cd2700e19b243bb8c.png",
    "website": "https://struct.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Struct automatically sets up, manages, and triages alerts based on how your app is supposed to work in prod. Connect your coding agent to it to enable your software factory to fix prod on its own.\r\n\r\nOnboarding takes 5 minutes.\r\n",
    "one_liner": "Struct keeps prod running",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1727386579,
    "tags": [
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      "DevOps",
      "Enterprise Software",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/struct-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/struct-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trystruct",
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    "github_url": "https://github.com/struct-dot-ai",
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        "user_id": 1655136,
        "full_name": "Nimesh Chakravarthi",
        "title": "Founder/CEO",
        "founder_bio": "Nimesh is a Co-Founder at Struct, building the new way to do oncall. He led the consumer messaging team at LinkedIn, where reduced messaging support volume by >80% by overhauling reliability & observability. He's an EECS Berkeley grad and a real estate agent.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nimesh-chakravarthi-68238749",
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      {
        "user_id": 950535,
        "full_name": "Deepan Mehta",
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        "founder_bio": "Deepan is building.\n\nPreviously he spent 4 years as a Sr. PM at LinkedIn, where he launched an AI-powered revamp of messaging, video posting, and messaging stories while driving 10s of millions in ARR. Before that, he launched LiveRamp's first self-serve distribution UXs and APIs. He graduated from Georgia Tech with a BS in computer science and is a Mexican Pizza enthusiast. ",
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        "title": "AI agent platforms look to find their stride in 2025",
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        "date": "Jan 23, 2025"
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      {
        "id": 98615,
        "title": "Struct: Automate your on-call runbook",
        "tagline": "Auto root-cause eng alerts by cross-referencing logs, metrics, and your code.",
        "body": "Hi - we’re Deepan and Nimesh, and we’re launching the on-call agent every team deserves. For free.\n\n**tl;dr:** Struct auto-generates impact summaries, root causes, and pattern analyses for every eng alert by cross-referencing your logs, metrics, traces, and code. Free to use, set up in 5 minutes, fully customizable.\n\nVideo: <https://www.youtube.com/watch?v=fjXxFzjmhv4>\n\n⚠️ **The Pain:**\n\nIf you’ve been on-call, you know the drill.\n\n* Alert fires\n* Open Datadog (or Grafana, or whatever)\n* Find spikes, note timestamp\n* Hunt for relevant logs\n* Grep through code to root cause\n* Rinse & repeat\n\nMeanwhile, your most senior engineers keep getting looped into every incident, noisy alerts never get tuned, context lives across multiple tools, and customer issues keep slipping through.\n\n❇️ **The Fix:**\n\nStruct is the fastest way to go from alert → root cause. It plugs into your existing stack and automates the investigation workflow your team already runs manually.\n\nWithin minutes of an alert firing, Struct:\n\n* Pulls relevant metrics, logs, traces, monitors, and code\n* Does a regression analysis and correlates anomalies and spikes\n* Replies with with a root cause, impact summary, and pattern analysis\n* Drafts a full incident report with dynamically generated charts, timelines, and commit histories\n\nDive deeper in Slack or our app. Or, handoff the full context to your favorite coding agent to ship a fix.\n\nTeams already use Struct to:\n\n* Ensure their on-call runbook is consistently run on every alert and issue\n* Query across all logs, metrics, traces, and incidents in one place\n* Give every engineer the context to handle on-call without looping in seniors\n* Delay heavy investments in centralized observability\n* Supercharge their fave coding agents with one-click context handoffs\n\n👨🏽‍💼 **Who It’s For:**\n\n* Founding engineers scaling from 1 → 10 → 50\n* Lean teams running serious infra without an SRE\n* Orgs investing heavily into AI dev workflows\n\n🙏🏽 **Our Ask: Try It Free**\n\n**Get started in 5 minutes at [struct.ai](http://struct.ai)** — start for free, no credit card required. See ROI before you commit\n\nOr:\n\n* Book a quick demo: [here](https://cal.com/deepanm/struct-demo)\n* Email us: [**founders@struct.ai**](mailto:founders@struct.ai)",
        "url": "https://www.ycombinator.com/launches/PeZ-struct-automate-your-on-call-runbook",
        "votes": 33,
        "created_at": "2026-03-09T16:09:43.354Z"
      },
      {
        "id": 92145,
        "title": "Edgedive - understand what your customers are actually saying",
        "tagline": "Edgedive unifies scattered customer feedback and makes it actionable at scale",
        "body": "**tl;dr: Edgedive unifies scattered customer calls, messages, tickets, and CRM data, enabling deep insights, custom reports, and on-demand research**\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/39577381-65fc-4927-b42a-6057c595fd9b)\n\n**👀 [Book a 15 min demo call](https://cal.com/deepanm/edgedive-demo) to see it in action!**\n\n⚠️ **The Problem:**\n\nListening to your customers **is really hard at scale**.\n\n* Customer interactions (call transcripts, support tickets, messages, emails, etc.) are still siloed in separate tools and rarely linked to CRM data or eng tickets\n* PMs and others have to manually search through scattered data for relevant snippets, but they miss a lot\n* Answering a question like “which $10k+ ARR customers asked about MCP in the past quarter” is difficult and time-consuming\n* Monitoring real-time, qualitative reactions to a launch is challenging\n\n❇️ **The Solution:**\n\nEdgedive makes it incredibly simple to collect, tag, and synthesize **all incoming feedback from every channel** (linked to your CRM) so you can focus on building something people want.\n\n_After white-glove onboarding, our customers are using Edgedive to:_\n\n🔎 Answer **any** question about **anything** customers are saying\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/03c089aa-7043-42c9-84ce-a57b32d41abd)\n\n🎫 Tag tickets & quantify revenue impact - automatically\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/9232202c-e8c5-4d0f-9bd6-67c7cefd89d5)\n\n🗣️ Schedule custom voice of customer reports\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/d787a9b2-92eb-43f7-9314-34efcc5be748)\n\n💸 Identify gaps leading to churn or closed-lost deals\n\n🧪 Get a shortlist of good beta testers for features\n\n🤩 Monitor customer reactions to launches, live\n\n_…all in seconds, not days (or weeks)._\n\n👨🏽‍💼 **Our customers are:**\n\n* Customer-obsessed **Founders** or **Product, CS, & Ops leaders**\n* Teams trying to scale PM, CS, or Ops without scaling headcount\n* Organizations trying to launch or automate Voice of Customer programs\n\n🙏🏽 **Our Asks:**\n\n* **Book a [15 min call](https://cal.com/deepanm/edgedive-demo) or email us at [founders@edgedive.com](mailto:founders@edgedive.com)** if you fit any of the above profiles (or just want to see it in action)\n* **Know anyone that might be a good fit? [Intro us!](mailto:founders@edgedive.com)** First 5 intros receive their choice of (5) Taco Bell Crunchwrap Supremes 🌮 or (5) caffeinated beverages ☕ Act fast!\n* **Follow us or give a shoutout on [LinkedIn](https://www.linkedin.com/company/use-edgedive) or [X](https://x.com/edgedive/) to support!**\n\n🚀 **The Team:**\n\nDeepan (fmr Sr. PM, Georgia Tech) and Nimesh (fmr. Sr. EM, Berkeley) worked together for 4+ years at LinkedIn - some of our launches include the AI Focused Inbox, video posting, and stories, along with growth launches that drove $XXM in annual revenue. We’re building the solution we wish we had when we were trying to plan, build, and launch impactful products.\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/3e31334c-2af8-4696-939e-fee8a252c848)\n\n",
        "url": "https://www.ycombinator.com/launches/NyD-edgedive-understand-what-your-customers-are-actually-saying",
        "votes": 61,
        "created_at": "2025-07-14T22:31:50.649Z"
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      {
        "id": 84508,
        "title": "Bramble: Buy any home, get $20k back!",
        "tagline": "Bramble is an AI-backed real estate brokerage that helps you buy a home end-to-end for a simple flat fee",
        "body": "**TL;DR:** Bramble is an AI-backed real estate brokerage that provides end-to-end homebuying services for one simple flat fee. Get instant help to set up tours, research homes, submit offers, and close confidently - with responsive support from an experienced agent whenever you need it.\n\nHey there! We’re [Nimesh](https://linkedin.com/in/nimesh-chakravarthi-68238749), [Deepan](https://linkedin.com/in/deepanmehta), and [Danny](https://www.linkedin.com/in/dannyighsu), co-founders of [Bramble](https://usebramble.com?utm_source=yc&utm_medium=post&utm_campaign=yc_launch).\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/673184b4-b4b3-4a72-bc11-fb7e3be1aa00)\n\n**The Problem: buying a home with an agent is often frustrating and expensive**\n\nToday, buyers already do a lot of work themselves to find and visit houses, but buyer agents continue to charge a very high fee (2-3% of a home’s price) for what’s often a frustrating and unresponsive experience. On top of that, the [2024 NAR settlement](https://blog.usebramble.com/post/how-nar-settlement-affects-home-buyers?utm_source=yc&utm_medium=post&utm_campaign=yc_launch) means that buyers are now fully exposed to that fee. As they look for cheaper alternatives, buyers are finding this means compromising on service or quality.\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/fd500ac9-92b1-4e2a-adbc-97087bfce021)\n\n**The Solution: buy any home with our AI-backed full-service broker for one flat fee**\n\nSchedule tours, analyze properties, draft offers, and close right on platform, with responsive, on-demand agent support whenever you need it — all for a simple flat fee. (The rest of the commission is rebated back to you.)\n\n[See how it works!](https://youtu.be/zFCG09fxJ_E)\n\nAI tools like instant disclosure analysis, comp reports, market analysis, and more, plus expert support from dedicated agents, mean Bramble buyers get the experience of a top-tier real estate agent without sky-high commissions. In California, the average homebuyer gets over $20k rebated at close! \n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/6a601435-32ef-4366-a683-fa7a3b0e885c)\n\n**Asks:**\n\nWe’d love to talk to:\n\n* **Anyone looking to buy a home in CA in the next 6 months** - whether that’s you or anyone you know, we want to learn more.\n* Anyone who’s bought a home in the last year - we’d love to hear about your experience. We’ll even throw in a gift card of your choice!\n* Other founders/builders in the real estate tech space - let’s exchange notes.\n\nEmail us at [team@usebramble.com](mailto:team@usebramble.com) or grab time directly [here](https://calendar.app.google/ppD4aJz2hV2Mwv6T8)!",
        "url": "https://www.ycombinator.com/launches/Lz2-bramble-buy-any-home-get-20k-back",
        "votes": 62,
        "created_at": "2024-10-03T20:04:32.029Z"
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    "team_size": 2,
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
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        "full_name": "Ashwin Dharne",
        "title": "Founder",
        "founder_bio": "Building AI for Excel. Ex-Google security + cloud conversational AI.\n",
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        "full_name": "Philip Brewer",
        "title": "Founder",
        "founder_bio": "Building the 'Excel for unstructured data'\n\nEx-Bain Consultant | Indiana University | Amateur Improv Comedy Player",
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        "id": 90861,
        "title": "Melder - Excel just got an AI upgrade",
        "tagline": "Melder is an Excel add-in that adds AI formulas for PDF extraction, web scraping, and text processing - all with full citations.",
        "body": "Hey everyone! We're [Ashwin](https://www.linkedin.com/in/ashwindharne/) and [Phil](https://www.linkedin.com/in/philip-brewer/) and we’re building [Melder](https://melder.io), an AI add-in for Excel.\n\n# **TL;DR**\n\nMelder is an add-in that brings AI formulas, file upload, and web scraping to Excel, so finance and ops teams can work faster without changing their existing workflow. One-click install and deploy from the Microsoft add-in store.\n\n[Launch Video](https://www.youtube.com/watch?v=Ao3SjOFeW5A)\n\n# **❌ Problem**\n\nFinance and ops teams spend too much time:\n\n* Pulling data from earnings calls, investor presentations, and transaction documents\n* Researching competitors one website at a time\n* Aggregating insights from interview transcripts and reports\n\nTeams want to automate these tasks, but every AI solution requires learning new tools and changing existing workflows.\n\n# **✅ Solution**\n\nWe built AI capabilities directly into the tool finance and ops teams already use every day: Excel.\n\n**Some things teams can do with Melder:**\n\n* **Turn PDFs into structured data**: Upload contracts, invoices, or reports directly to cells. Extract what's needed in seconds.\n* **Scrape the web with a formula**: Pull any website's contents into Excel. Research 100 competitors as easily as one.\n* **Analyze qualitative data**: Turn customer feedback, survey responses, or support tickets into structured insights\n\nYour team already knows Excel. No training needed, no new logins to manage, deploy instantly across Office 365 licenses. It's AI that fits existing workflows, not the other way around.\n\n# **🙌 Our Ask**\n\n* **Try it free**: Install directly from [Microsoft](https://appsource.microsoft.com/en-us/product/office/WA200008575?tab=Overview) (takes 30 seconds, no commitment)\n* **See it in action**: Book a call directly: https://cal.com/phil-brewer/chat\n\n![uploaded image](/media/?type=post&id=90861&key=user_uploads/810767/8440530f-3fae-4dff-944e-ec7450b63e0d)\n\n",
        "url": "https://www.ycombinator.com/launches/NdV-melder-excel-just-got-an-ai-upgrade",
        "votes": 13,
        "created_at": "2025-05-29T19:53:10.558Z"
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    "name": "Ryvn",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Ryvn provides the devtools and infrastructure to easily deploy any workload, on any cloud, and on-prem. Run apps in your own cloud and offer Bring Your Own Cloud (BYOC) to your customers in minutes, with built-in observability designed for sensitive industries.",
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    "launched_at": 1730680026,
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ryvn/",
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        "user_id": 1690248,
        "full_name": "Albert Lam",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Ryvn, making cloud and on-prem deployment, monitoring, and management simple. Previously led AI and infrastructure teams at Palantir.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/simplyalam",
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      {
        "user_id": 682648,
        "full_name": "Shardool Patel",
        "title": "Founder/CTO",
        "founder_bio": "Building deployment infrastructure to help companies deploy to multi-cloud. Previously led an engineering team at Palantir and helped scale the internal deployment platform to a $20M ARR product.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sp97/",
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        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/ryvn/jobs/qg0OM1Q-founding-software-engineer",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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        "id": 85379,
        "title": "🚢 Ryvn - Deploy applications to customer clouds, on-prem",
        "tagline": "Like Vercel but for deploying to your own cloud and customer clouds",
        "body": "**TL;DR:** [**Ryvn**](https://ryvn.ai) **_empowers SaaS startups to seamlessly deploy, monitor, and manage their applications within customer clouds_** _and on-premises environments. We streamline on-prem delivery with integrated logging, monitoring, and simplified updates and rollbacks across all customer installations._ [_Watch our demo_](https://youtu.be/1wTY1a0KKPU)\n\n   \n&nbsp;\n# **🔥 The Team**\n\n[Albert](https://www.linkedin.com/in/simplyalam/) and [Shardool](https://www.linkedin.com/in/sp97/) collectively bring over a decade of expertise in infrastructure and DevOps.\n\nAt Palantir, Shardool led engineering teams building deployment infrastructure for managing **hundreds of environments**, including cloud, on-premises, and air-gapped systems—facilitating over 10,000 deploys per day.\n\nAlbert led engineering teams at Palantir, developing disaster prevention products that secured $xxM in contracts. At Capital One, he architected modular deployment pipelines and resource management tools.\n\n   \n&nbsp;\n# **❌ The Problem**\n\n**Building infra is not building product**\\\nSetting up infrastructure for each customer—learning tools like Terraform and Kubernetes, creating configurations, and making Docker images—is time-consuming. Instead of building new features, your team is tied up with these tasks just to get deployments working.\n\n**Customer DevOps slows you down**\\\nIf you're sending code, docker images, or Helm charts to customers, you're relying on their DevOps team to prioritize your updates and correctly follow installation instructions. This can lead to **delays of 4-6 weeks** before updates are applied, hurting your delivery cycle.\n\n**Support sucks without monitoring and logging**\\\nHearing about outages or bugs over email or Slack leaves you scrambling to react, putting customer trust at risk. Secure access to logs and metrics is critical to providing reliable service.\n\n   \n&nbsp;\n# **🔮 Our Solution**\n\n**🚢 Easily Install and Ship Updates**\\\nRyvn handles on-prem and VPC deployments automatically from your GitHub code, like Vercel, allowing you to push updates **multiple times a day** with little to no customer involvement.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/a32c6ee9-98c9-4289-b62f-83ec48cda238)\n \\\n**🎮 Controlled Updates & Instant Rollbacks**\\\nRoll out updates with ease across release stages, including **instant rollbacks** to previous stable versions, ensuring uptime and customer confidence.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/a6862582-b463-415b-9239-39ff5d161cf0)\n \\\n**👁️ Integrated Logging & Monitoring**\\\nSecure, **centralized access to logs** and health metrics across customer environments. Logs are streamed to your cloud or accessible on-demand from your customer’s cloud.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/1bffb4e3-5a28-44d0-a75c-8e92ebf639d6)\n\n   \n&nbsp;\n# **💭 Why Deploy to Customer Clouds?**\n\n**💸 Charge more, bigger markets**\n\n* Charge **3–10x** more for customer cloud / on-prem deployments\n* Sell to regulated industries — health, finance, enterprise, etc.\n\n**🥷 Skip the security review & SOC 2**\n\n* Land **PoCs** _faster_ by deploying on-prem to bypass lengthy security reviews\n* You don’t need SOC 2 or HIPAA to deploy on-prem\n\n**❤️ Make your bank and lawyers happy**\n\n* Customers pay directly for infrastructure cost\n* Not hosting customer data reduces your liability\n\n   \n&nbsp;\n# **📣 Our Ask**\n\n**Follow** - we’re on [LinkedIn](https://www.linkedin.com/company/105480942/)\\\n**Share** - If you know any startups looking to deploy to customer clouds, we’d appreciate a warm intro using our email [founders@ryvn.ai](mailto:founders@ryvn.ai)\\\n**Demo** - [book here](https://cal.com/albertlam/ryvn-demo)\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/7b4e5b4d-30d0-4b34-8762-1f8664c960b6)\n\n",
        "url": "https://www.ycombinator.com/launches/MD5-ryvn-deploy-applications-to-customer-clouds-on-prem",
        "votes": 84,
        "created_at": "2024-11-08T14:33:26.181Z"
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    "id": 30115,
    "name": "Laminar",
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    "website": "https://laminar.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Laminar analyzes, builds, and governs the systems that run your business, from SMBs to Fortune 10 Enterprise orgs. Powered by Implementation Intelligence™.",
    "one_liner": "Enterprise systems delivery without the turbulence.",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1731196685,
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    "url": "https://www.ycombinator.com/companies/laminar-com",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/laminar",
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    "cb_url": "https://www.crunchbase.com/organization/sre-ai",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 282804,
        "full_name": "Raj Kadiyala",
        "title": "Founder/CEO",
        "founder_bio": "Currently building Laminar, previously at Google/DeepMind\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajsekhark/",
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        "full_name": "Edward Aryee",
        "title": "Founder/CTO",
        "founder_bio": "Currently building Laminar, previously at Google Research",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edwardaryee/",
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        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/rLzPSAF-member-of-technical-staff",
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        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "",
        "equity_range": "",
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        "id": 107086,
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        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/tdAM4uY-laminar-technical-intern",
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        "experience": "Any (new grads ok)",
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        "id": 107087,
        "title": "Laminar | Intern",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/fYFdMgU-laminar-intern",
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        "type": "Full-time",
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        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/cIuLQfr-forward-deployed-engineer",
        "location": "Remote (US)",
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        "role": "Engineering",
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        "title": "Founding Talent Partner",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/hGSGGGi-founding-talent-partner",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
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        "title": "Y Combinator alum SRE.ai raises $7.2M for DevOps AI agents | TechCrunch",
        "url": "https://techcrunch.com/2025/08/20/sre-ai-launches-to-automate-complex-enterprise-workflows/",
        "date": "Aug 20, 2025"
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    "launches": [
      {
        "id": 85420,
        "title": "SRE.ai - AI Agents for Low-Code DevOps",
        "tagline": "Enabling Low-Code DevOps for Low-Code Platforms like Salesforce.",
        "body": "Deploy between environments, configure and execute workflows, and query for information with just a chat message.\\\n<https://youtu.be/fMyfVek8zAI>\n\n[Edward](https://www.linkedin.com/in/edwardaryee/) and [Raj](https://www.linkedin.com/in/rajsekhark/) are former Google Research & DeepMind engineers who have over a decade of experience building automation tools and AI experiences. We are eager to bring our skillset to optimize an often slow, process-heavy development ecosystem. \n\nWe've tailor-made our end-to-end platform for Salesforce development, with agents that improve productivity while reducing release headaches.\n\n# The Problem\n\nAs RevOps and Salesforce Development orgs grow, complexity multiplies; teams often have to patch together outdated tools and tedious processes to compensate. Over time, this creates technical debt, which leads to metadata merge issues, data backup challenges, and information silos. \n\nIt becomes harder to share knowledge and communicate effectively. Finding information across disparate tools and documents slows down teams and increases the potential for breakages that affect users.\n\nAll of this manifests in bulky processes and longer release timelines.\n\n# Solution\n\nWe built AI agents to automate Salesforce DevOps, allowing organizations to create customized executable workflows, including:\n\n* CI/CD and testing\n* Merge conflict resolution\n* Environment spin-up/down\n* Simulations and impact reports\n\nWith configurable human-in-the-loop verifications and access controls, our agents enable fast, transparent workflow executions, cutting down release timelines and improving productivity. The result? \n\n* More time to spend on important tasks\n* Informed decision-making\n* Better risk management\n\n# Our ask\n\nIs your Salesforce development team looking to streamline operations? Email us at [info@sre.ai](mailto:info@sre.ai) or [book a demo here.](https://cal.com/sreai)\\\n\\\nIf you’re interested in the space, join our [Slack workspace](https://join.slack.com/t/sreai-community/shared_invite/zt-2u0f3n39z-EBrMyj9tleJN\\~xsNdjOwDw)!\n\n![uploaded image](/media/?type=post&id=85420&key=user_uploads/2250700/7f22ebb2-c06c-4fed-bcd1-80a2155e1ff9)\n\n",
        "url": "https://www.ycombinator.com/launches/MDk-sre-ai-ai-agents-for-low-code-devops",
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        "created_at": "2024-11-10T00:58:49.657Z"
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    "name": "Relvy AI",
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    "website": "https://www.relvy.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Relvy provides AI-powered debugging notebooks that help software engineers investigate and resolve incidents faster. It finds the root cause in over 70% of alerts automatically, and when it doesn’t, engineers can easily guide or correct the investigation - saving valuable time across the team.",
    "one_liner": "AI powered debugging notebooks for incident response",
    "team_size": 3,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1729032291,
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        "full_name": "Bharath Bhat",
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        "full_name": "Simranjit Singh",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Relvy. Previously I worked at Microsoft and Amazon on researching and developing SOTA Computer Vision models. I also Co-Founded Vetan, a payroll app that was used by over 30k SMBs. Prior to that I developed distributed systems at Nutanix.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/simranjit2112",
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        "id": 85574,
        "title": "Relvy: AI that discovers and debugs production issues",
        "tagline": "Relvy looks at application logs and metrics to detect and debug issues, so engineers don’t have to.",
        "body": "Hi, we are Bharath Bhat and Simranjit Singh. We are building Relvy AI.\n\n### ❗ The problem\n\n* Companies spend $35B annually paying engineers to be on-call, and yet continue to suffer from $$$$ outages.\n* Monitoring production software is hard.\n* Engineering teams are always playing catch up - either flying blind with no alerts, or drowning in alert noise.\n\n \n\n### ⭐ Introducing Relvy\n\nWith Relvy, you can just say “**Hey Relvy, monitor my logs for me**”. Relvy connects to your observability stack to detect and debug any issues that show up. It takes less than 5 minutes to set up Relvy to monitor your logs and get actionable alerts WITH a root cause analysis.\n\n[Demo Video](https://www.youtube.com/watch?v=j_8wLDFMGNM)\n\n### ⚙️ How it works\n\n* You connect Relvy to your observability tools and provide a set of log queries that you’d want to monitor\n* Relvy queries and process logs 24x7 to detect issues. No need to define log based metrics and create alerts manually.\n* Relvy then debugs these issues to provide an actionable root cause analysis. This includes querying and analyzing other metrics to provide context, and finding responsible code changes from your recent commits.\n* Already have alerts on your on-call slack channel? Relvy can debug these as well, and respond to follow-up queries.\n\n### 🚀 Our tech\n\n* We ship with a small language model that’s optimized for debugging. It is as good as gpt-4o on our eval benchmarks while being 1/100th the cost. The core unlock that enables us to offer continuous monitoring.\n* We lean on your previous incident response history to help optimize our agent. Helps us denoise alerts, figure out useful queries to run while debugging, and pattern match logs faster.\n\n### 📝 Our story\n\nSimranjit and I are both ML engineers. We met a few years ago when we were building computer vision models for satellite imagery at a startup called Orbital Insight. Together, we have built and supported ML products at Google, Uber, Microsoft and Amazon. \n\nRelvy came out of our efforts to automate the not-so-fun parts of our jobs as software engineers. Believe it or not, our first product was something that recorded your screen as you were coding, and tried to come up with bug fix suggestions for any error messages that popped up on screen. Thankfully, Relvy is less intrusive, more accurate, and fits into your existing on-call workflows.\n\n### ➡️ Ask\n\nI bet you’d like AI to take monitoring off your plate. Try us out at <https://www.relvy.ai> or book time with us at <https://calendly.com/bbhat-relvy/15min>\n\n![uploaded image](/media/?type=post&id=85574&key=user_uploads/1381863/8a25e559-845a-4b23-90dd-6fadde0fbdb8)\n\n",
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    "name": "Canvas",
    "slug": "canvas",
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    "website": "https://www.canvas.inc/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Self-Improving AI",
    "one_liner": "Building AI systems that improve from experience.",
    "team_size": 3,
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    "launched_at": 1731558538,
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    "country": "US",
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        "user_id": 266260,
        "full_name": "Essam Sleiman",
        "title": "Founder/CEO",
        "founder_bio": "Essam is the Founder of Canvas AI. Previously, he built AI and continual learning systems at Twitch and AWS, co-founded Komma (sales automation), started CodeLab (largest builder student club), and is a published AI researcher in top conferences.",
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    "id": 30125,
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    "slug": "synth-3",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Choose a coding agent harness, model, and task dataset and optimize context and prompts to get the best performance for long-horizon tasks",
    "one_liner": "Prompt and Context Optimization for Coding Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1729021221,
    "tags": [
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      "America / Canada"
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        "body": "Hi, I’m Josh, founder of Synth.\n\n**TL;DR**\n\nWe log what your agent is doing, identify where it’s coming up short, and fine-tune the AI models your agent uses to prevent those failures.\n\nYou add a few decorators to your code, run your agent, and get back fine-tuned models (via OpenAI or the provider of your choice) that perform better. Our product, when applied to SWE-Agent, an academic baseline, delivers a **33%** relative improvement on the [SWE-Bench agent benchmark](https://www.swebench.com) with just 100 training data points. [ ](https://www.youtube.com/watch?v=DwC8iBLpWdU&feature=youtu.be)\n\n**Why is this important?**\\\nTeams want to deploy software that automates economically meaningful tasks over multiple steps. Iterating on those systems is hard: an agent taking 100 steps to complete a task will often create a newspaper’s worth of text data over just one task run, and reviewing a representative evaluation dataset can be daunting. Moreover, getting language models to demonstrate context-specific agentic behavior - such as following strong plans and making the best use of their environment - can be challenging, just with manual prompt tweaking. \n\nWorking as an agent researcher at a startup automating accounting tasks, I struggled to parse through the reams of logs my systems would generate every time I wanted to test a potential improvement. Manually tweaking dozens of prompts and reasoning about how changes would propagate through the system was also difficult— and, for many problems, ineffective. As agents are deployed in more challenging applications and to more customers, these problems will grow. Agent developers need a tool that scales with their agent’s complexity and scope in order to build state-of-the-art systems.\n\n**Our solution**\\\nSynth works in 3 steps\n\n1. Communicate: We summarize your agent’s logs to help you understand how it’s performing at a glance.\n2. Flag: We identify common failure modes your agent is demonstrating.\n3. Address: We fine-tune base models your agent uses to address AI-related issues and suggest changes to your code when gaps in agent scaffolding are the root cause.\n\nWe worked with a startup that was working on automating code generation to increase their agent’s success rate at an editing task from ~**85% to 100%** on a representative evaluation set.\n\n**Why Now?**\\\nDevelopers and researchers have been building AI agents with language models for years, but only somewhat recently have base models provided a strong enough foundation to enable the most ambitious applications.\n\nMoreover, some of the most powerful and consistent approaches for tuning agents to address domain-specific challenges— the ones powering Synth— have only been published in the last year or so. The market is ready for our solution, as is the research literature.\n\n**Team**\\\nI recently worked at [Basis](https://www.getbasis.ai), a startup automating accounting tasks with AI agents, as a researcher developing and maintaining pipelines and agents used to serve top accounting firms. While there, I had the opportunity to publish [academic research](https://arxiv.org/abs/2406.11695) on the topic of agent optimization at EMNLP, a respected AI conference.\n\nBefore Basis, I built a startup doing ML for cyber with some friends that got acqui-hired right out of the gate for a modest amount. Before then, I studied math and machine learning at Yale.\n\n**Ask**\\\nSend folks building agents our way at [founders@usesynth.ai.](https://mailto:founders@synth.ai) We’d love to talk to anyone using AI agents to solve hard, multi-step tasks - the more ambitious and complex the approach, the better.\n\n![uploaded image](/media/?type=post&id=85819&key=user_uploads/89898/5d64c8db-48e1-423a-a020-f5ace9ea7b82)\n\n",
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        "answer": "HumanLayer will be the single place where software construction and collaboration happens. Every engineer will ship faster not by replacing humans with AI, but by giving humans the most effective leverage points. Check out <https://hlyr.dev/ace-fca> for more details."
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        "full_name": "Dexter Horthy",
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        "founder_bio": "Coined the term Context Engineering in April 2025, ranting about coding agents ever since. Started coding in high school at NASA JPL. Spent 7 years as Engineer, SE, PM, Exec at Replicated, a series C dev tools startup. I worked on container orchestrators, helped teams like Hashicorp, DataStax, and H2O.ai deliver and ship their on-prem k8s products.\n\n",
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        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/humanlayer/jobs/oBCZzc7-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
        "equity_range": "1.00% - 3.00%",
        "experience": "6+ years",
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        "date": "Jul 01, 2026"
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        "title": "The four startups from YC's Fall batch that enterprises should pay attention to | TechCrunch",
        "url": "https://techcrunch.com/2024/12/07/the-four-startups-from-ycs-fall-batch-that-enterprises-should-pay-attention-to/",
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        "title": "HumanLayer - Human-in-the-loop for AI Agents and beyond",
        "tagline": "Approval queues, escalations, and human oversight for every automated process.",
        "body": "Hi 👋 I’m Dex, and I’m building HumanLayer.\n\nHumanLayer lets your software contact humans for feedback, input, and approvals. It’s perfect for\n\n1. Implementing manual approval steps for software- and human-driven workflows\n2. Oversight of autonomous AI agents\n3. Managing the transition between the two\n\nHumanLayer has clients for Python and Typescript and lets you manage approvals across Slack, SMS, email, and other channels. For AI agents, HumanLayer is designed to work with any framework + LLM.\n\nYou can try it today at [humanlayer.dev](https://humanlayer.dev).\n\n<https://www.youtube.com/watch?v=5sbN8rh_S5Q>\n\n> _Ever since I got hands-on with HumanLayer, I’m asking my whole team to think more about Agentic AI workflows - I used to think agents were not worth the effort to get them to production-grade reliability, but now I'm stoked on what is possible when you bring humans into the loop_\n>\n> _–_ Vaibhav Gupta _, Founder_ @ [Boundary](https://www.ycombinator.com/companies/boundary) _(YC W23)_\n\n### Why HumanLayer\n\nBefore HumanLayer, I was building autonomous AI agents. Our idea for an MVP was an agent that would coordinate with humans in Slack and could do basic cleanup, like dropping any Snowflake/SQL table that hadn’t been queried in 90+ days. We had already built a platform to generate recommendations, but we wanted to push the limits of agent frameworks, **we wanted the agent to be able to actually do the work, not just generate the recommendations**.\n\nOf course, we weren’t comfortable with an AI application running raw SQL unsupervised, especially if it had access to drop tables, so we wired in some basic human approval steps.\n\nFrom there, I realized that **the most useful functions we can give to any software are also the most risky**. This is especially true for non-deterministic systems driven by LLMs. I realized that anyone who wants to build agents that do meaningful things will need tools for approval and oversight. So, I started hacking on HumanLayer to enable teams to safely build high-impact agents and put them to work [ambiently and autonomously](https://theouterloop.substack.com/p/openais-realtime-api-is-a-step-towards) in the background.\n\n### Use Cases\n\nWhether you’re hard-leaning into AI or not, HumanLayer helps you build impactful automation that you can ship with confidence because you have humans in the loop for the critical operations. Forget months of tuning or broken use cases on every iteration; **build confidence incrementally** as you observe and test your apps in production (safely!).\n\n* **Internal Automations** - review/approve outbound emails or automated infrastructure changes\n* **Dynamic Data Labeling** - think [RLHF](https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback) driven by the experts in your company - Use collected human feedback for **benchmarking** human vs. AI performance and for **fine-tuning** AI agents\n* **Ship fast and iterate** - Roll out advanced AI features to customers without needing to get to “perfect.” Human review guarantees nothing bad can happen without needing to spend months on evals, tuning, and prompt engineering. Then, iterate based on how your agents behave in production.\n* **Customer-facing** **control and visibility** - help your customers build trust in automations by giving them hooks to approve/review your app’s actions\n\n> _Really enjoying playing with @humanlayer_dev - instead of the manual outreach grind, I just hang out in slack and give my agent feedback as it finds new leads_\n>\n> – Tom Granot, founder, <https://syntaxcinema.dev>\n\n### \n\n### Quick Example\n\nIntegrate HumanLayer into your **python** or **typescript** app using a decorator or webhooks.\n\n![uploaded image](/media/?type=post&id=85104&key=user_uploads/1459029/2ea2f1d9-c06d-4e03-a64e-62c650e1743c)\n\nTo let AI apps contact a human for natural language feedback/input, just pass the `human_as_tool()` function into an AI agent’s tool set.\n\n![uploaded image](/media/?type=post&id=85104&key=user_uploads/1459029/4035e3d6-b850-4e14-b1b1-a64193cb5d75)\n\n### Team\n\n![uploaded image](/media/?type=post&id=85104&key=user_uploads/1459029/f649e7e6-c37d-48d4-88ee-4d265c4983d4)\n\nI’m [Dex](https://linkedin.com/in/dexterihorthy). I am obsessed with helping devs everywhere deliver safe + impactful AI agents.\n\nI spent the last 7 years at <https://replicated.com> where I helped great developer teams like DataStax and H2O.ai build and launch the kubernetes-native versions of their self-hosted products. I worked on container orchestrators, led product teams, and founded the GTM org.\n\nI can’t wait to build the future of AI Agents with y’all.",
        "url": "https://www.ycombinator.com/launches/M8e-humanlayer-human-in-the-loop-for-ai-agents-and-beyond",
        "votes": 48,
        "created_at": "2024-10-29T14:15:47.455Z"
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    "name": "Quantstruct",
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    "long_description": "Quantstruct automatically creates and improves product documentation, implementation guides, and changelogs for API & SDK products, web-based enterprise software, and internal applications.\r\n\r\nQuantstruct identifies gaps in your knowledge base based on each product release or unfulfilled customer query. It uses multiple AI agents to search existing knowledge sources, test existing docs for validity and style guidelines, and clicks, scrolls, and uses enterprise software through a web browser to generate docs with embedded screenshots and video recordings. Quanstruct is available as a cloud service to start, targeting technical writers, content writing, professional services, and product teams.\r\n\r\nTraditional generative AI tools risk hallucinating critical API & SDK fields, even with RAG based approaches. Purely agent-based approaches risk providing unpredictable output that can diverge from desired documentation processes. Finally, no company’s review and publishing workflow is the same. Quantstruct is the easiest way to onboard and customize AI agents to continuously improve your documentation based on your customer needs and product evolution. https://quantstruct.com",
    "one_liner": "AI documentation engineer – test & autoimprove stale product docs",
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        "full_name": "Sarthak Srinivas",
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        "full_name": "Newman Hu",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Quantstruct. We're building AI agents to create the best documentation for your product. Newman previously built search infrastructure at Moveworks and Replit (YC W18), where he managed mission critical platforms powering Gen AI experiences for Fortune 500 companies. EECS @ Berkeley",
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      {
        "id": 87136,
        "title": "Quantstruct 🤖 – Improve Your Technical Docs 24x7 with AI Agents",
        "tagline": "Kill documentation debt, update docs automatically, research & validate docs",
        "body": "# **tl;dr**\n\nQuantstruct is an AI technical writer that improves your documentation 24x7 with agents to research, test, and update your docs. We already work with hypergrowth companies like [Vapi (YC W21)](https://vapi.ai) and enterprises who build API & SDK products, visual software, and platforms where nurturing a vibrant developer and partner community with bespoke docs helps you win.\n\n[Sign up to get onboarded](https://quantstruct.com) today!\n\n<https://youtu.be/smbT-M3F1vs>\n\n## **Problem**\n\nThe best product & customer teams stomach some difficult truths to serve their customers today:\n\n1. **Product & customer education demands active effort** from product and engineering experts with limited time\n2. **Teams need to understand too much** source code, support, communication threads & product specs to properly guide customers\n3. **High-quality docs require 100% validation** to test code snippets, external links, accessibility guidelines, take screenshots, and other references. Traditional Gen AI falls short.\n4. **Helping customers supersedes keeping docs up to date**\n\nThe result? **Documentation debt** - where your product and technical docs & implementation plans go increasingly out of sync.\n\nWe felt this pain thousands of times previously, when we helped Fortune 500 customers integrate with 100s of enterprise software platforms that were poorly documented. We saw how **documentation debt** could escalate customer support issues and lead to customers not adopting and championing the platform.\n\nWe also saw how paying down documentation debt could amplify each team’s impact, inspire customer love, and help nurture a community of strongly activated champions.\n\n## **Solution**\n\nQuantstruct connects to your docs platform, GitHub, and Slack to continuously update your docs\n\n1. When a **PR** occurs, Quantstruct works behind the scenes and notifies you about a companion docs update\n2. Each type of doc update can be configured with tools and agents to\n   * _Check WCAG accessibility guidelines_\n   * _Check broken links_\n   * _Take screenshots and videos_\n   * _Generate system architecture diagrams_\n   * _Validate code blocks_\n   * _and much, much more._\n3. You can manually edit the doc or provide high-level instructions, and Quantstruct updates and publishes the necessary sections without work\n4. Quantstruct’s platform will take care of the hard bits of coordinating multiple agents, self-evaluating and improving performance, following your specific review & publishing workflows\n\n## **The ask**\n\nSign up for [Quantstruct](https://quantstruct.com), and install our GitHub and Slack apps to get started! You can also reach out to [founders@quantstruct.com](mailto:founders@quantstruct.com) to guide you through the onboarding process.\n\n# **The team**\n\n**Sarthak** has worked at growth-stage companies like Moveworks as a Kleiner Perkins product fellow, where he built an agent developer platform from 0 to $2+ million.\n\n**Newman** has built search infrastructure at Moveworks and Replit (YC W18), where he managed mission-critical platforms powering Gen AI experiences for Fortune 100 companies.\n\nBoth are published researchers and patent holders from **Georgia Tech CS** and **Berkeley EECS,** respectively.\n\nWe’ve spent our careers building for developers at enterprise software companies and deeply empathize with the pressures that support, customer success, product, and GTM teams face to build world-class developer products and ecosystems.\n\n![uploaded image](/media/?type=post&id=87136&key=user_uploads/120963/9b5326c4-b1e2-4845-ae3f-1ac50417a262)\n\n",
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    "long_description": "We design challenging worlds where AI models learn to explore and solve problems. We turn these worlds into post-training datasets and reinforcement learning environments to train the next frontier of AI. We're research partners with four top frontier AI labs, several Fortune 100 companies, and leading RL data vendors.",
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      {
        "id": 93860,
        "title": "Aviro - Continuous Upskilling for Enterprise AI Agents",
        "tagline": "Introducing Cortex, our runtime layer which gives agents the right insights at the right moments",
        "body": "**TL;DR:** Long-horizon agents break down. They can retrieve facts and utilize tools, but when it comes to long, multi-step workflows, they fail to reproduce successful behaviors and consistently repeat costly mistakes.\n\nAviro fixes that. We’re starting with Cortex, an RL-based intelligence layer that makes agents learn through experience. With Cortex running, our deep research agent outperformed OpenAI's—beating it by 70% on enterprise search tasks and reaching #1 on Microsoft's Deep Research benchmark.\n\n**We're partnering with teams building advanced agents for complex business. Contact us** at [founders@aviro.ai](mailto:founders@aviro.ai) or book a time [here](https://cal.com/aarush-kukreja/demo).\n\nhttps://youtu.be/8Sz16v4X63w\n\n## Why This Matters\n\nAgents are now being tasked with longer, higher-stakes enterprise processes, where mistakes can compound quickly, and reliability erodes rapidly. Today's agents:\n\n* **Don't carry forward what worked**\n* **Lose context across tools and handoffs**\n* **Repeat the same errors** (wasting time and compute)\n* **Deliver inconsistent results** teams can’t trust\n\nThey fail not because models aren't smart enough, but because agents can't learn or adapt to enterprise workflows.\n\n## What Makes Aviro Different\n\nOur intelligence layer, Cortex, solves this by providing task-time intelligence that evolves with your enterprise. Cortex:\n\n* **Learns From Every Attempt -** extracts reusable lessons from long, complex runs that help future ones stay on track\n* **Context-Aware Retrieval -** surfaces the right lessons at the right moments, without slowing or overloading the agent\n* **Workflow-Aware Guidance -** anchors to your **existing SOPs** while evolving them as better approaches emerge\n* **RL-Powered -** uses reinforcement learning to optimize guidance and retrieval over time\n* **Seamless Enterprise Integration -** works alongside your current agents, models, and tools with **lightweight wiring**\n\nWith Cortex, agents identify bottlenecks early, apply proven solutions, and adapt established workflows to new scenarios without context overload. Even as complexity increases, they maintain focus and improve with each use. Our deep research agent, powered by Cortex, **outperformed OpenAI's by 70% on enterprise search tasks and topped Microsoft's Deep Research benchmark.**\n\n## Who We're Looking For\n\n**We're partnering with enterprise teams building advanced agents that operate across complex business processes. Reach out** at [founders@aviro.ai](mailto:founders@aviro.ai) or book a time [here](https://cal.com/aviro/demo).\n\n![uploaded image](/media/?type=post&id=93860&key=user_uploads/2318974/b991d11e-fb8a-4323-a241-40bd0ad16860)\n\n",
        "url": "https://www.ycombinator.com/launches/OPs-aviro-continuous-upskilling-for-enterprise-ai-agents",
        "votes": 17,
        "created_at": "2025-09-18T14:56:08.191Z"
      },
      {
        "id": 90937,
        "title": "Tropir: The AI that builds better AIs",
        "tagline": "You build the flow. We make it unbreakable.",
        "body": "## ➡️ Meet Tropir\n\nhttps://youtu.be/r9EajEr0tck\n\nModern AI pipelines fail constantly—hallucinations, bad retrievals, broken tool calls.\n\nTropir fixes that.\n\nIt traces exactly where things went wrong, suggests a targeted fix, reruns the pipeline, and tells you if the fix worked. All automatically.\n\n## 🔁 Trace → Fix → Rerun → Evaluate → Repeat\n\n![uploaded image](/media/?type=post&id=90937&key=user_uploads/2318975/1f24f662-f8c5-40f8-a5fa-6fbbc86ede7a)\n\nMost observability tools stop at logs. Tropir doesn’t just show you what broke—it tells you why, applies a fix, reruns the whole pipeline, and checks if the problem’s actually solved.\n\nYou can say: “Figure out why the @last_log wasn’t grounded in retrieved context. Use @faithfulness_eval.” Or just: “This output sucks. Use the full eval set to fix it.”\n\nTropir handles the rest.\n\n## 🧠 Why Tropir is Different\n\n* Traceback Engine — Finds the root cause across prompts, retrievals, tools, and context.\n* Fix + Rerun — Smart patches injected on the fly. No code rewrites.\n* Built-in Evals — Relevance, grounding, structure—all tested automatically. Add your own evals if you like!\n* Conversational Interface — It’s like interrogating your agent after runtime.\n* Plug & Play — Two lines of code to setup Tropir and you’re done.\n\n## 🔥 Try Tropir\n\n![uploaded image](/media/?type=post&id=90937&key=user_uploads/2318975/ca343c8f-0e54-427a-a05d-331bc3142703)\n\nTeams building RAG workflows, support bots, and research agents are shipping AI 60x faster with Tropir.\\\n→ [Book a demo](https://cal.com/aarush-kukreja/15min) to get early access!\\\n→ Visit [tropir.com](http://tropir.com) and sign up!",
        "url": "https://www.ycombinator.com/launches/Nej-tropir-the-ai-that-builds-better-ais",
        "votes": 21,
        "created_at": "2025-06-02T13:40:01.116Z"
      }
    ]
  },
  {
    "id": 30176,
    "name": "Outship",
    "slug": "outship",
    "former_names": [
      "Trace"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/500ff8202faf0a9f25c1a4ee0f51ff6e2499c9b6.png",
    "website": "https://outship.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Software engineering is being rewritten in real time, and hiring is getting pulled along for the ride. \r\n\r\nWith tools like Claude Code and Cursor, being able to ship is the new baseline. The signal for finding extraordinary engineers is the process: how candidates break down work, steer the agent, make tradeoffs, and recover when things break. \r\n\r\nOutship is a recruiting tool that allows you to capture and analyze that process alongside the final code so you can hire with confidence.\r\n\r\nCandidates work in a cloud workspace that's ready to code. We handle the environment setup and secret management to give you a level testing ground.",
    "one_liner": "Hire amazing engineers by seeing how they use AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1738662568,
    "tags": [
      "B2B",
      "Recruiting",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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      "Recruiting and Talent"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/outship",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/outship.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/showcase/outshipai/",
    "x_url": "https://x.com/outshipai",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/500ff8202faf0a9f25c1a4ee0f51ff6e2499c9b6.png",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 979984,
        "full_name": "Saner Cakir",
        "title": "Founder/CEO",
        "founder_bio": "now: outship.ai – hire amazing engineers by seeing how they use AI\nbefore: robot learning at Berkeley AI Research",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/saner-cakir-697385300/",
        "x_url": "https://x.com/sanerc110",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/97e66417507f4bec6d78b257780c911062ea4ef7.jpg"
      },
      {
        "user_id": 1639012,
        "full_name": "Kayla Lee",
        "title": "Founder/COO",
        "founder_bio": "now: outship.ai – hire amazing engineers by seeing how they use AI \nbefore: nlp at Berkeley AI Research ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kayla-lee-715149160/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1608169311eaf6066a938178720df7529b18d4d7.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 98459,
        "title": "Outship 🚀 | 👨‍💻 Hire amazing engineers by seeing how they use AI",
        "tagline": "Outship is a recruiting platform that records and analyzes how engineering candidates use coding agents.",
        "body": "**TL;DR:** Outship is a recruiting platform that records and analyzes how engineering candidates use coding agents. Import a task repo from GitHub and send an invite link for a take home or an interview. We spin up a cloud workspace for them to work in.\n\n![uploaded image](/media/?type=post&id=98459&key=user_uploads/979984/e030f7b7-7cf7-4d83-bcd3-402c750994d0)\n\n# ⁉️ Why?\n\nEveryone’s feeling the AGI when it comes to coding. We spoke with over 50 YC teams in the past few weeks, and almost all of them are aggressively using coding agents to build product.\n\nThis naturally means that the skills that differentiate an okay engineer from an amazing one have changed significantly! Teams are no longer hiring for typing out code character by character. Instead, they need ambitious builders who can leverage the latest tools and techniques to achieve in a day what a team of five used to achieve in a week.\n\n* “I usually ask them which agent they are using. If it’s still Cursor, I’ll send them to the bottom of the queue” – YC founder 🤵\n* “If they know the latest stuff like a Ralph loop, that’s usually a really good sign that they are passionate” – another YC founder 💁‍♀️\n\nSeeing a candidate work with AI can give you a lot of signal about their thought process and whether they’re the engineer you’re looking for.\n\nThe YC application, along with several companies, now asks applicants to attach AI agent sessions:\n\n![uploaded image](/media/?type=post&id=98459&key=user_uploads/979984/93653791-8e34-4aaa-a2c5-d5f9ceec3de2)\n\n## 💩 Existing hiring tools can’t capture this\n\nTools like CoderPad and HackerRank have tried to band-aid a “AI Agent” on their Leetcode interview platforms, but honestly, these toy environments and their crappy GPT wrappers have nothing to do with how your engineers work today.\n\n![uploaded image](/media/?type=post&id=98459&key=user_uploads/979984/ad12a850-2927-42ae-a154-71ebb0394c61)\n\n# 🚀 The Solution\n\nWe’ve built a platform to send tasks to candidates and record how they work on them with coding agents. We then analyze their implementation and coding agent sessions against customizable rubrics.\n\n<https://youtu.be/VTZ_UZ52imY>\n\nOutship spins up a cloud VM and drops the candidate into a browser based VS Code workspace with coding agents ready to use. They get a real remote machine: they can use the terminal, run web apps, forward ports, and more!\n\nWe handle the environment setup and secrets management so you can evaluate candidates on a level playing field.\n\n# 🦞 Our Ask\n\n1. If you are hiring engineers, try [outship.ai](https://outship.ai/)! I will personally help you get set up. (in person in SF Bay Area or over Zoom elsewhere)\n2. If you want to chat more, book a meeting: [cal.com/saner/outship](https://cal.com/saner/outship?overlayCalendar=true)\n3. If you know founders hiring engineers, we’d love an intro: [saner@outship.ai](mailto:saner@outship.ai)",
        "url": "https://www.ycombinator.com/launches/Pc3-outship-hire-amazing-engineers-by-seeing-how-they-use-ai",
        "votes": 10,
        "created_at": "2026-03-05T00:39:46.018Z"
      }
    ]
  },
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    "id": 30179,
    "name": "Vetnio",
    "slug": "vetnio",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5005981ef0d73a35ad3b8810eead978401e6e5e.png",
    "website": "https://vetnio.com/",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Veterinarians spend 40% of their time on admin work, >20% on note taking alone. We're here to change that so they can focus on what really matters - providing the best care possible for animals.",
    "one_liner": "AI Copilot that automates admin work for veterinary professionals",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1738187804,
    "tags": [
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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      "Productivity"
    ],
    "regions": [
      "Sweden",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vetnio",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/vetnio.json",
    "year_founded": 2024,
    "city": "Stockholm",
    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/vetnio",
    "x_url": "",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5005981ef0d73a35ad3b8810eead978401e6e5e.png",
    "app_video_url": null,
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      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3ec413ec5f445aa581b1c6ca331f645f8fdb24b9.png"
    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1054865,
        "full_name": "Arman Karégar",
        "title": "Founder/CEO",
        "founder_bio": "Founded three companies and served as the youngest board member ever for two firms with a combined turnover of 100 million euros. Elected politician during university and have 20 years of expertise in audio processing; from optimizing voice recordings to designing custom instruments by shaping waveforms using oscillators, envelopes, and LFOs. Master's in Industrial Engineering and Management from KTH Royal Institute of Technology, with additional studies at Nanyang Technological Institute. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/armankaregar",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8028b5de1d64bd9f911957bd026fd946cb3f1e1.jpg"
      },
      {
        "user_id": 1055457,
        "full_name": "Max Henry Xie",
        "title": "Founder/CTO",
        "founder_bio": "Second time founder. Self-taught developer with many chess and hackathon wins. Built machine learning models to combat fraud at big banks. Studied industrial engineering and management at KTH (Stockholm). Dropped out of school to work at Accenture (deployed engineer), then Paypal (AI / data scientist) before founding first his start-up, now working on his second. Accidental tiktok-influencer.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/max-henry-xie",
        "x_url": "https://x.com/maxhxie",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6ec5784d1133cd410634f02e2a305fd292ce1d4.jpg"
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      {
        "id": 87809,
        "title": "Vetnio - Automating admin work for veterinarians with AI 🐾",
        "tagline": "Vetnio records patient consultations, automating note-taking and other administrative work, so veterinarians can focus more on patient care.",
        "body": "**TL;DR:**\n\n* ⏰ Veterinarians spend \\~40% of their time on admin work, with note-taking alone making up \\~20% of their time.\n* 🎤 By recording patient meetings, Vetnio automatically generates clinical notes and emails in seconds.\n* ✨ Additionally, Vetnio helps out with diagnostics, follow-ups, invoice generation, and more, reducing the risk of missed revenue for clinics while ensuring optimal care for animals.\n\n[Introducing Vetnio](https://www.youtube.com/watch?v=z6KIg5SJUUk)\n\n# **Who are we and why are we doing this?**\n\nWe are [Arman](https://www.linkedin.com/in/armankaregar/) and [Max](https://www.linkedin.com/in/max-henry-xie/) from [Vetnio](https://vetnio.com). Being close friends for +10 years, Vetnio is the second startup we have co-founded together. We both have exceptional backgrounds within engineering, with Arman having 20 years of audio processing experience and Max being a self-taught developer since childhood.\n\nIt all started when Arman brought his 🐶, Knut  (picture below), to a stressful veterinary visit. He noticed how much time was spent by the veterinarian typing on a keyboard and immediately went on to think how this can be made better. After a quick discussion with Max, the idea for Vetnio was born.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcJzgeyF-gX-baUP0NVgep-EMa_iTLVKHwA9rQoA-Z6QiaTH4EpLeBazL_R_eKkrjHpWEyoNOZB-jKapY7RZ8S4hJesNc3OloZI59SRuyT8aI3ffpGw4lX3YGGRBEbn5k9hIoqThw?key=3XWI3B5KbKFPqOSqe7jrNCyD)\n\n**Problem**\\\nWith a rising patient load, veterinarians are overworked and stressed, leading to mistakes, burnout, and lost revenue. Admin work takes up \\~40% of their time, and that's where Vetnio comes in.\n\n**Solution**\\\nVetnio has built an AI Copilot that records meetings and writes clinical notes, thereby saving veterinarians and clinics time, money, and headaches. Additionally, Vetnio helps out with diagnostics, follow-ups, invoice generation, and more, reducing the risk of missed revenue for clinics while ensuring optimal care for animals.\n\n[Demo video](https://www.youtube.com/watch?v=5PeoKr2yXSw)\n\n**Case studies and traction**\\\nAmong others, we work closely with the global leader in veterinary care, IVC Evidensia, and are currently conducting pilots with several prominent veterinary chains. Recently, the largest veterinary magazine in the Nordics published an independent interview with Evidensia, highlighting how our solution was saving them up to [15 minutes per 45-minute consultation](https://www.svenskveterinartidning.se/effektivare-journalforing-med-ai/), significantly reducing their administrative workload.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfl83aqSvXXbGlasaxpV0KXvgWps3LVxtVBnZiqCJviBcFmdyDyYwQbF6sug1O5t5dOBdLIJZ4jQvmLabMYOKqHTe00w-7iq77XJK00_KgfygNsDw5RCTP0Z6IwtdUB4wTfGfZX?key=3XWI3B5KbKFPqOSqe7jrNCyD)\n\n📸: A veterinarian at Evidensia is reading through the text on Vetnio after a consultation.\n\nRest of the engineers:\n\n* Emil Franzell\n* Arvid Norström\n* Rakin Ali\n* Marcel Laska\n\nOther notable team members include:\n\n* Dr. Jana Böndel, Country Manager Germany: Jana has 10 years of experience as a veterinarian and spent the last 4 years in an Executive Management position at one of the world’s largest veterinary chains. She built up their Telemedicine department. Her expertise bridges veterinary care with innovative digital solutions.\n* Knut, CCO: Chief Canine Officer who has spent his whole life in the pet space.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfvV6K2MqUVSNB2bVib11foOMVFvirQ8QB30POScCAmPVN4_2LroLO3krfFyZjNckQooyW37WXfKnw6KEWpUSCyStgxiPf1sA06FQOSJWcDwUMZX7jHbEbViw6NLQ_enJntrczWYA?key=3XWI3B5KbKFPqOSqe7jrNCyD)\n\n### **Our ask**\n\nWe’re on a mission to make manual admin work a thing of the past.\n\n👉 If you’d like to chat or know any veterinarians or practice owners who might find this helpful, don’t hesitate to reach out to us here: [founders@vetnio.com](mailto:founders@vetnio.com)",
        "url": "https://www.ycombinator.com/launches/MqH-vetnio-automating-admin-work-for-veterinarians-with-ai",
        "votes": 18,
        "created_at": "2025-02-19T15:09:28.249Z"
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    ]
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  {
    "id": 30181,
    "name": "Leaping AI",
    "slug": "leaping-ai",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2cf89546e97aa00342fd94e13a639b43add977d5.png",
    "website": "https://www.leapingai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Leaping AI is the best platform to deploy voice and texting AI agents for customer service, lead qualification and appointment scheduling. We target mid-market and Enterprise companies and industries are: home remodeling, roofing, pay per call, travel, retail, health insurance, Medicare, health and real estate.\r\n\r\nWe automated contact centers employing >100 human agents and now handle their incoming customer support and appointment scheduling calls, end-to-end. All while maintaining 90% customer satisfaction score.\r\n\r\nPain points that we solve: missed calls, insufficient speed to lead, not enough call center resources, call center inefficiencies, agents not sticking to the script, etc.\r\n\r\nAt its core, we have a multi-channel outreach campaign feature, whereby our customers can call and text potential leads over an arbitrary time period. If end customers call or text back, the Leaping voice or text AI agent can autonomously schedule appointments and resolve service requests.\r\n\r\nSome of our differentiating features: most-human like voice in the market, CRM integrations in place (Salesforce, Hubspot, MarketSharp, AccuLynx, JobNimbus, LeadPerfection, Google, etc.) and white-glove onboarding (in-person for larger accounts). Our AI agents can hold 100+ conversations at once, speak multiple languages and be equipped with company specific FAQ. Lastly, we have our own number health monitoring and DNC software.",
    "one_liner": "AI voice and texting agents",
    "team_size": 13,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1736780951,
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      "AI",
      "Conversational AI"
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    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Home remodeling and roofing companies that we speak to almost always have one of the following pain points: missed calls, not fast speed to lead, insufficient lead follow ups, dropped leads, not enough staff, etc.\r\n\r\nLeaping AI addresses these pain points with an AI voice and texting platform that allows call centers to run multi-threaded calling and texting campaigns over the span of several weeks. We automate both inbound and outbound calling."
      }
    ],
    "url": "https://www.ycombinator.com/companies/leaping-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/leaping-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98079414/",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 1218980,
        "full_name": "Kevin Wu",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Leaping AI, which offers AI voice and texting agents for home remodeling, roofing, etc. Formerly was an Associate at BCG for 3 years. Studied Computer Science at TU Munich and at CDTM.",
        "is_active": true,
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        "tagline": "Self-improving AI voice agents to replace your whole call center. At scale.",
        "body": "**TLDR**; Leaping AI creates voice agents for businesses with high call volumes (>100k calls a year). Our voice AI agents are human-like, handle complex workflows, and automate up to 70% of customer support calls while maintaining 90% customer satisfaction. They get better over time.\n\n<https://youtu.be/VZMd2VZW8EA>\n\n# **The Problem**\n\nRunning a call center with humans is expensive.\n\nCurrent voice AI solutions are either outdated or developer focused. With our solution, we target medium to larger sized businesses that want to have a cutting-edge solution, yet don’t have significant developer resources and want an easy to use platform.\n\n# **The Solution**\n\nOur platform allows the deployment of powerful human-like voice AI agents for any customer support and sales support use case. There is a simple user interface to set up multi-stage agents with simple English prompt instructions for behavior and transitions. Agents can speak in multiple languages (English, German, Spanish, Arabic, etc.) and be plugged into your infrastructure with API connectors. All the calls are recorded and can be listened to and analyzed in our platform.\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/f6b54cbc-0421-4256-9040-0a8b4cfdada1)\n\n# **Our voice AI agents self-improve**\n\nPreviously, we spent hundreds of hours together with our clients on manually listening to / evaluating calls and testing new prompts. Now, the agent autonomously performs post-call analysis, changes itself and runs A/B tests to improve prompting! We are seeing real day-on-day improvement on the rate of call transfers to humans while being fully hands off!\n\n# **Case studies**\n\nWe have been live with our product for a couple of months and currently power thousands of calls daily. \n\nSome success stories:\n\n1. We are working with Hawesko, Germany’s largest wine merchant. They historically had >100 human agents and we are now taking 100% of incoming customer support calls for one of their brands (>1.000 calls per day). In select use cases such as wine purchasing, our voice AI agents have been able to autonomously conduct 70% of conversations without any human call transfer.\n2. For another retailer, we ran an outbound campaign on around 1.000 leads that did not complete the onboarding process. Within a week, we were able to convert 30% of leads contacted. When this retailer did similar campaigns in the past with human agents, they achieved the same result, but it took them 5 weeks.\n3. We are working with a Jamaican BPO call center that does Affordable Care Act (ACA) inbound / outbound pre-qualification calls. We are now doing >5.000 calls a day for them with our voice AI agents, taking over pre-qualification and handing over only pre-qualified customers to human agents – saving 1 minute per call on every call.\n\n# **The team**\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/bf93647d-42fa-45da-be1c-ce19c42595d9)\n\nWe are [Kevin](https://www.linkedin.com/in/kevin-wu-452a6393/), [Arkadiy](https://www.linkedin.com/in/a-telegin/), and [Shraey](https://www.linkedin.com/in/shraeybhatia/) – we previously worked at Microsoft, BCG, and IBM Research and are now passionate about disrupting the contact center industry.\n\n# **Our ask**\n\nIf your company has >10 call center agents or works with a BPO doing phone-based customer support and / or sales, we would love to see if our voice AI agents can help you.\n\nLikewise, if you are connected to someone that might be interested in our solution, we would love to get connected.\n\nEmail: [founders@leapingai.com](mailto:founders@leapingai.com)",
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        "title": "Casixty - Your Reddit Marketing Agent for Technical Audiences",
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        "body": "![uploaded image](/media/?type=post&id=87581&key=user_uploads/824876/a9f19804-29f1-4589-8bd7-2d5cb592c8b1)\n\n**TL;DR** — Technical companies struggle to authentically connect with their audiences on Reddit, missing valuable opportunities for engagement. We built an AI-powered platform that helps you identify and engage in relevant technical discussions, generate authentic responses, and measure impact - all while maintaining your brand voice.\n\nHey! We're Eylon and Yoav, both engineers who discovered firsthand how challenging it is for technical companies to effectively market on Reddit. After successfully growing multiple open-source projects to thousands of stars (including [reactagent.io](http://reactagent.io) and [pezzo.ai](http://pezzo.ai)), we built Casixty to help other technical companies unlock Reddit's potential.\n\n**The Problem** \\\nTechnical companies face four major challenges with Reddit marketing:\n\n1. **Finding the Right Discussions** is like searching for needles in a haystack - manually scanning for relevant conversations is incredibly time-intensive\n2. **Creating Authentic Responses** requires deep technical knowledge and platform understanding - especially challenging for marketing teams\n3. **Measuring Impact** is nearly impossible without proper analytics tied to specific engagements\n4. **Maintaining Consistency** demands significant resources, leading to sporadic engagement that hurts brand presence\n\n**Our Solution** \\\n<https://www.youtube.com/watch?v=zzby3_YHbCs>\\\nCasixty is a digital marketing platform that:\n\n* Indexes your company's knowledge (blogs, docs, etc.) to identify perfect engagement opportunities\n* Generates draft responses that match your brand voice and technical expertise\n* Delivers notifications via Slack for quick action\n* Takes just 3 minutes to onboard and minutes per day to maintain\n* Creates evergreen content (Reddit discussions index well in Google!)\n\n**Customer Success Story** \\\nWe recently worked with a cybersecurity company targeting infosec and MSP audiences. In just 10 weeks, we helped them:\n\n* Generate over 5,000 karma in technical discussions\n* Create thought leadership content that resonated with their audience posted by C levels (CEO, CTO, CMO, CPO, CISO) and SMM team (10 accounts total)\n* Build brand awareness that amplified their Reddit ad campaigns\n\n**Why Us?**\n\n* We're engineers building for engineers - we understand the importance of quality and authenticity\n* We're expanding beyond Reddit soon - Twitter, LinkedIn, Bluesky and more platforms coming in the next few months\n* Our platform delivers measurable results while respecting Reddit's community standards\n\n**YC Special Offer** For YC companies signing up before W25 ends:\n\n* Know someone who needs this? Share code YCFRIENDSREF for 20% off 6 months\n* Unlimited Reddit research, strategy & consultation with founders via Slack Connect for 3 months (Pro plan)\n\nStart free on <https://casixty.com/> or talk to us at [success@casixty.com](mailto:founders@casixty.com)\n\nEylon & Yoav",
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        "full_name": "Jason Madeano",
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        "founder_bio": "Co-founder and CEO of Nextbyte\n\nPrior to Nextbyte, Jason was a Machine Learning Engineer at Pinterest leading ML recommendations for modules on the Homefeed Relevance team. He holds a Master’s and Bachelor’s degree from MIT in Computer Science and Brain & Cognitive Science. His research on Cultural Transmission and Reinforcement Learning received a best paper award at NeurIPS.",
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        "user_id": 2304301,
        "full_name": "Matt Stallone",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of NextByte. \n\nBefore tackling agents, Matt was leading the post-training of Foundation Language Models at IBM Research, working on major releases including the Granite model series. During his career, he published multiple first author papers on his LLM research. He is classically trained in ML and Distributed Systems and holds Master's and Bachelor's degrees from MIT in Computer Science and Electrical Engineering.",
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      {
        "id": 88114,
        "title": "NextByte - AI recruiter tuned to identify the best vibe coders",
        "tagline": "Screen candidates for ability and output, not rote memorization",
        "body": "**TL;DR:** AI is changing how engineers work - it's time hiring caught up. Built by MIT engineers, NextByte tests for real-world skills, conceptual knowledge, and AI tool usage, not memorized algorithms.\n\n## The Problem\n\nToday's best engineers aren’t grinding Leetcode - they're vibe coding. AI copilots and codegen tools are making developers more productive than ever, yet tech hiring is stuck in the past.\n\nCurrent coding screens reward those who memorize algorithms, not those who can actually build and problem solve. Worse, LLMs can ace many Leetcode problems better than humans, so what are these screens really testing?\n\n## Our Solution\n\n[NextByte](https://youtu.be/bVO5k4ssmGg)\n\nNextByte is an AI-first interview platform that helps companies screen for the skills that actually matter. Our approach ensures that hiring decisions are based on practical ability rather than memorization.\n\n#### Problem Creation\n\nInstead of testing candidates on obscure theoretical concepts, we focus on challenges that reflect real engineering work. Our Magic Import tool helps companies design assessments tailored to their job descriptions, ensuring that candidates are evaluated on the skills they will actually use. We eliminate unnecessary algorithmic puzzles and instead measure problem-solving ability in a way that aligns with on-the-job performance.\n\n#### Candidate Interview\n\nTechnical interviews should reflect how engineers actually work. Our process is interactive, guided, and built to evaluate both technical skill and thought process.\n\n* **Conversational deep dives:** Our AI-driven voice discussions start with fundamental topics and push deeper based on candidate responses. This allows us to evaluate reasoning, adaptability, and true understanding – not just memorized answers.\n* **Vibe Coding:** Our unique system design questions ask candidates to translate an image into text prompts and leverage cursor-like tools to generate code for their solution.\n* **AI pair programmer:** Candidates receive real-time assistance, just like they would from a great colleague (or copilot). The AI helps navigate syntax, debugging, and edge cases, keeping the focus on problem-solving rather than getting stuck on minor details.\n\nBy mirroring a real-world coding environment, we prevent candidates from simply rehearsing answers and instead uncover how they think and work through challenges.\n\n#### Results & Evaluation\n\nA correct answer isn’t enough – we analyze the entire coding process to provide a deeper, more meaningful assessment of candidate ability including\n\n* **Code quality:** Evaluate readability, documentation, and maintainability to ensure candidates write clean, production-ready code.\n* **Efficiency:** Compare runtime and memory usage against other candidates, identifying optimization skills that go beyond just getting the correct output.\n* **Conceptual understanding:** Assess depth of knowledge and ability to articulate complex ideas.\n\n## The Team\n\nWe’re MIT grads, engineers, and longtime friends who have experienced the flaws of technical hiring firsthand.\n\nMatt led post-training efforts for Enterprise LLMs at IBM Research delivering open weight models, including the Granite family which achieved state-of-the-art benchmarks that rivaled Meta's LLaMA 3. Jason worked on Home Relevance at Pinterest, leading the development of new recommendation systems that scaled non-pin content from zero to 100M daily impressions in months.\n\n## Our Story\n\nDespite working on different problems at different companies, we kept running into the same hiring issues.\n\nAs candidates, we saw how arbitrary and inconsistent technical interviews could be. As interviewers, we saw colleagues struggle to find time to properly evaluate applicants while juggling their own workloads. Some interviews were so broken that proctors would literally fall asleep on Zoom calls.\n\nWe built NextByte to fix this. Our goal is to make hiring decisions fairer, more efficient, and focused on what actually matters. We're helping companies identify the best engineers while giving candidates a better experience.\n\n## Our Ask\n\n* Book a [demo](https://calendar.app.google/wqoDP5ZQrjQZYEmK6) and start sending NextByte assessments today\n* Share warm intros to anyone frustrated with technical hiring\n* Follow us on [LinkedIn](https://www.linkedin.com/company/nextbyte-ai) for updates\n\n![uploaded image](/media/?type=post&id=88114&key=user_uploads/2387967/8b776cca-9aab-4ef1-93f1-8f351162ca39)\n\n",
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        "votes": 73,
        "created_at": "2025-02-27T18:50:24.245Z"
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    "long_description": "Praxim is the agentic AI word editor that makes edits across your entire word document with formatting control, file and web context, and your personal preferences in mind. Simply tell Praxim what you'd like to do with your document and Praxim will implement your changes automatically. ",
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    "team_size": 2,
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    "launched_at": 1740746196,
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        "full_name": "Richie Hsiung",
        "title": "Founder/CEO",
        "founder_bio": "Richie is the Co-Founder of Praxim. He studied Math/CS/Philosophy at Yale.\n\nHe was a USA Math Olympian and won the American Invitational Math Examination with a perfect score. The AIME is now one of the most commonly used math benchmarks for AI models.",
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        "title": "Praxim - The Agentic AI Word Editor",
        "tagline": "Transform Microsoft Word into an AI-native Word Editor",
        "body": "https://youtu.be/ffplqbuzfT4\n\nHey Everyone! We’re Praxim.\n\n**The Problem:**\n\nMicrosoft Word serves over a billion users, but Copilot is still stuck in the Stone Age, requiring manual selection just to generate crude, format-ignoring block replacement edits completely devoid of context from your preferences, files, or the web.\n\n**The Solution:**\n\nWith a single prompt, Praxim makes edits across your entire document:\n\n* No required manual selection to edit\n* No more copy-pasting and context switching between different apps\n* No formatting worries\n* Takes into account your preferences\n\nPraxim knows exactly what to change and what to keep and edits with word-level granularity—precisely editing only what needs editing, not making brute block replacements.\n\nMost importantly, Praxim creates real Word formatting:\n\n* Actual lists, tables, and styles—not fake imitation structures that are actually just paragraphs\n* Maintain formatting, or even change it\n\nPull data, research, and edit all without leaving Word, with features that 10x your productivity:\n\n* File and Web context\n* Voice dictation at the speed of thought\n* Intuitive edit previews and clickable references that jump to the location in the document\n\nPraxim is already used for use cases from form filling with data from multiple sources to contract redlining with precise legal edits.\n\n**Why only now?** Programmers left the era crude AI assistance years ago with agentic code editors. Formatted document editing is a far harder technical problem—a single word is encoded by formatting and structural markup several orders of magnitude more complex than plaintext code, with countless ways to render correct text incorrectly. Semantic meaning and formatting both matter.\n\nPraxim for Word solves this, delivering a quantum leap over any other Word editing tool today. Start using Praxim today at [praxim.ai](http://praxim.ai)!",
        "url": "https://www.ycombinator.com/launches/OVm-praxim-the-agentic-ai-word-editor",
        "votes": 11,
        "created_at": "2025-09-30T14:00:52.553Z"
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    "id": 30188,
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    "all_locations": "BY, Germany",
    "long_description": "Voice AI for Home Services",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1739171711,
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    "year_founded": 2024,
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    "country": "DE",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 1101892,
        "full_name": "Christopher Grittner",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at HeyTelo. \n\nPrev led Philippines expansion at Finantier (YC W21), built Tacto's product from scratch as employee #4 (backed by Sequoia and Index), and led product initiatives at Celonis (valued at $13bn). Former Investment Team member at Earlybird Venture Capital. Researched LLMs in Data Analytics at University of Cambridge. BS in Computer Science & Business from Technical University of Munich and studied at National University of Singapore.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/christopher-grittner",
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      {
        "user_id": 1069014,
        "full_name": "Daniel Grittner",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO at Hey Telo. Previously SDE at Amazon, published first-author computer vision research at ECCV 2022 while at TUM, and built database infrastructure at Celonis. Completed research project in Bioinformatics at ETH Zurich. BS in Computer Science from Technical University of Munich. Dropped out of MS in Computer Science at Technical University of Munich to build Hey Telo.",
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        "id": 84580,
        "title": "AI Engineer Internship (4-6 months)",
        "url": "https://www.ycombinator.com/companies/hey-telo/jobs/OSrWaPG-ai-engineer-internship-4-6-months",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Internship",
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        "role_type": "Full stack",
        "salary_range": "€2.5K - €4K EUR / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
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        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/hey-telo/jobs/xcPARQI-founding-ai-engineer",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
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        "title": "Founding Founders Associate (Sales)",
        "url": "https://www.ycombinator.com/companies/hey-telo/jobs/FZsuyfE-founding-founders-associate-sales",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
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        "id": 95535,
        "title": "Founders Associate Intern (Sales)",
        "url": "https://www.ycombinator.com/companies/hey-telo/jobs/xMop9Qn-founders-associate-intern-sales",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
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      {
        "id": 87553,
        "title": "Hey Telo — Voice AI for the Home Service industry",
        "tagline": "Hey Telo is a voice AI that handles inbound calls and admin work for craftsmen.",
        "body": "Hi! We are [Daniel](https://www.linkedin.com/in/daniel-m-grittner/) and [Chris](https://www.linkedin.com/in/christopher-grittner/), brothers and the founders of Hey Telo.\n\n**TL;DR** — We're building voice-first AI agents that handle phone calls and administrative work for Germany's 1 million craftsman businesses. Our technology turns hours of daily interruptions into seamless and reliable voice AI interactions, helping craftsmen focus on skilled work instead of shuffling paperwork and answering phones.\n\nIf you work or have connections in the Home Service industry, [connect with us today](https://www.linkedin.com/in/christopher-grittner/).\n\n## **The Problem**\n\nEvery time you flip a switch or turn on the heat, a craftsman made it possible. Germany's 1 million craftsman businesses—and the millions more across Europe—don't just maintain our quality of life, they're building our sustainable future through renewable energy and green infrastructure. \n\nBut instead of focusing on this critical work, they're trapped answering phones and shuffling paperwork. Craftsmen are constantly interrupted by calls for quotes, scheduling, and basic questions while they're trying to do skilled work. A single workday can be fractured by dozens of phone interruptions, forcing them to context-switch between complex technical tasks and administrative busywork. \n\nMany end up hiring office staff just to handle calls, cutting into already thin margins. Others miss opportunities because they can't answer the phone while working.\n\n## **The Solution**\n\nHey Telo simplifies how craftsmen handle communication and admin work using advanced voice AI.\n\nInstead of being interrupted by every call and spending hours on paperwork, craftsmen can:\n\n* Let AI handle incoming calls naturally and professionally\n* Automatically schedule appointments and provide quotes\n* Get seamless handoffs for complex inquiries\n\nThat's it. What used to fracture their entire workday now happens seamlessly in the background, letting craftsmen focus on their work while maintaining high quality customer service.Our voice AI feels natural, fast, and human - customers often don't realize they're talking to AI until told.\n\n## **Our Ask**\n\nIf you (or anyone you know) work in the craftsman/home service industry, we'd love to chat with you! Reach out at [chris@heytelo.com](mailto:chris@heytelo.com).\n\n## **About Us**\n\n[Daniel](https://www.linkedin.com/in/daniel-m-grittner/) and [Chris](https://www.linkedin.com/in/christopher-grittner/) are brothers who've been building together since childhood. Daniel (CTO) previously worked at Amazon and published first-author research at ECCV 2022. Chris (CEO) built products at Tacto as employee #4 (backed by Sequoia and Index), Celonis (valued at $13bn), and Finantier (YC W21). Both studied Computer Science at the Technical University of Munich.\n\n![uploaded image](/media/?type=post&id=87553&key=user_uploads/1101892/57526b74-05e6-48cc-8a84-d91a02bcbf5b)\n\n",
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        "created_at": "2025-02-10T21:58:17.128Z"
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    "name": "SubImage",
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    "long_description": "SubImage builds maps of your infrastructure to give you visibility on what assets you have and how they relate to each other. This enables any security team to deeply understand their environments and reduce risk.\r\n\r\nSubImage is a managed offering built around the Cartography open-source project, and is founded by members of Cartography's original team.",
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    "industry": "B2B",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/subimagesec",
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      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Alex Chantavy",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at SubImage. Former Staff Engineer at Lyft: Created https://cartography.dev, the open source security graph. Built first-of-its-kind container scanning and remediation platform. Former Security Engineer on Microsoft Red Team: did cloud hacking before it was cool. Worked on [REDACTED] at the NSA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexchantavy/",
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        "full_name": "Kunaal Sikka",
        "title": "Founder/President",
        "founder_bio": "Co-founder at SubImage. Previously Member of Technical Staff at Anthropic and Staff Engineer at Lyft. At Lyft, reported directly to CISO, new grad to Staff Engineer in 4 years. Architected SIEM, insider abuse, and vulnerability management platforms. Graduated from University of Washington CS in 2 years.",
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        "id": 107957,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/subimage/jobs/NCTFgKK-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$170K - $230K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "url": "https://www.subimage.io/blog/funding/",
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        "title": "Launch HN: SubImage (YC W25) – See your infra from an attacker's perspective | Hacker News",
        "url": "https://news.ycombinator.com/item?id=43161332",
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      {
        "id": 87887,
        "title": "SubImage: Software that maps your infrastructure",
        "tagline": "The open-core alternative to Wiz",
        "body": "[SubImage](https://subimage.io) maps your infrastructure so that your security team can fix the most pressing risks first. It’s built on top of [Cartography](https://github.com/cartography-cncf/cartography), the open source security graph that we created and that 70+ companies use.\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/1645462/73946b9a-a00f-4c1e-8401-1917b2600878)\n\n## **Problem**\n\nIn security, attackers often have to be right just once, but defenders have to be right all the time. \n\nThe scary thing is, given enough time, resources, and motivation, it is a near certainty that an attacker will break into your environment. You need to be ready with detections and controls to catch and evict them.\n\nHowever, most companies, even huge ones, are nowhere near ready for that. They are either inundated with data and stuck deciding what to fix next, or worse, have **poor to no visibility** on high impact risks.\n\nFurther, modern businesses often rely on dozens of cloud and SaaS platforms, so it’s very easy to lose track and make mistakes in configuring access permissions, networking, and other areas to inadvertently introduce an attack path.\n\n## **Solution**\n\nWe originally created Cartography in 2019 to help red teamers (professional corporate hackers) find the shortest paths to their targets. [At the time](https://news.ycombinator.com/item?id=19517977), there was nothing quite like it: other tools weren’t graph-based, didn’t cover the cloud, or weren’t open source.\n\nThe tool grew in popularity when defenders realized that **using an attacker’s mindset** to map out their infra was an immense boon to their work because it cut through the noise, exposing proven attack paths.\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/1645462/030c8839-2635-45c8-beda-d6c9b11d1e32)\n\nCartography pulls metadata from multiple sources - SaaS, cloud service providers, a company’s internal services - and writes it to a graph database. This simple technique is incredibly powerful in finding otherwise unseen misconfigurations and attack paths in areas like access permissions, networking, and software vulnerabilities.\n\nSubImage is our fully-hosted solution that picks up where Cartography leaves off: it lets security teams immediately see and take action on the attack paths to their organization’s most sensitive data and secrets without needing to set up or maintain the database and sync jobs behind it.\n\nThe specific fix-action varies: smaller companies may prefer executing AWS CLI commands from an admin session, whereas larger corporations often require automated pull requests within their infrastructure-as-code repositories.\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/1645462/d4628233-026a-4118-b6b5-1b41ace550e5)\n\n\n## **Demo: My Stripe API key was stolen**\n\n<https://youtu.be/RBCr35hb5Hk>\n\n## **Demo: Hack my company**\n\nOne of the most effective ways to secure yourself from hackers is to put yourself in their shoes and think about how they would exploit your environment. So, let’s plan an attack on one of SubImage’s storage buckets; it’s kind of like planning to break into a bank vault.\n\n<https://youtu.be/P_meu4_aIVA> \n\nThe above demo shows that we also provide customers access to the underlying graph database so that they can see the internals of our schema and more deeply understand their infra.\n\n## **Roadmap**\n\nOur north star is for security engineers to stop needing to constantly monitor whether infrastructure, new or old, has introduced a risk – we will do it for them.\n\nSpecifically, we plan to\n\n* Integrate with access management systems to **prune excessive permissions** and enforce that certain invariants are maintained\n* Continuously **alert on and remediate** risky infrastructure changes\n* **Show misconfigurations** in any cloud or SaaS based infrastructure, including vulnerability management\n\n## **Asks**\n\n1. If you’re a company that is building out your security team, we’d love to learn about your problems and work together. Let’s [meet](https://cal.com/team/subimage)!\n2. If you are struggling with security visibility or if any of this sounds interesting to you, check out [Cartography](https://github.com/cartography-cncf/cartography/). We would love to get your feedback and have you as part of our community: join the CNCF Slack workspace [here](https://communityinviter.com/apps/cloud-native/cncf) and then join the #cartography channel.\n\n## **Team**\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/89898/0f181717-ad90-4cd8-a86c-67debce4c790)\n\nHi! We’re [Alex](https://www.linkedin.com/in/alexchantavy/) and [Kunaal](https://www.linkedin.com/in/kunaals/), and we’ve been working together since 2020 when we met at Lyft. Alex was the lead engineer on Lyft’s vulnerability management program, led penetration tests for Microsoft’s Red Team, and worked on \\[REDACTED\\] at the NSA. Kunaal was a Staff Engineer at Lyft and Member of Technical Staff at Anthropic, and has spent his career solving large security problems like insider abuse, vulnerability management, and architecting SIEMs.",
        "url": "https://www.ycombinator.com/launches/MrX-subimage-software-that-maps-your-infrastructure",
        "votes": 32,
        "created_at": "2025-02-21T04:53:34.911Z"
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    "name": "Partcl",
    "slug": "partcl",
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    "website": "https://partcl.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Partcl modernizes chip design automation with physics-informed models powered by GPU acceleration. \r\nOur tools run up to 700× faster than legacy solutions, cutting weeks off development and unlocking AI-driven optimization.",
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        "full_name": "William Salcedo",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Partcl. Previously at Nvidia, Stanford, and Cornell. I taped-out two chips from scratch as an undergrad and developed one of the earliest chips designed by LLMs. My research at Stanford included using AI techniques to verify circuits.",
        "is_active": true,
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        "full_name": "Vamshi Balanaga",
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        "title": "Founding Engineer (Systems + ML)",
        "url": "https://www.ycombinator.com/companies/partcl/jobs/QYIRyyx-founding-engineer-systems-ml",
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        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$130K - $300K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "C++",
          "Python",
          "Rust",
          "Torch/PyTorch",
          "CUDA",
          "GPU Programming",
          "Machine learning"
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    "news": [],
    "launches": [
      {
        "id": 90311,
        "title": "Partcl: Design Chips in minutes",
        "tagline": "Accelerate time to market for a new chip with Partcl.",
        "body": "Imagine hitting _compile_ and waiting **3 weeks** to learn you missed a semicolon... or **5 weeks** to catch a runtime error.\n\nWelcome to ASIC life.\n\nWe're slashing those weeks down to **minutes** — so you can build better chips, _faster_.\n\n**🤔 Why did we build this?**\n\nDuring our time at Nvidia and other startups, we found that engineers spend large amounts of the 24 month chip design cycle idle, waiting for runs to finish. \n\nPartcl speeds up Physical Design tools by rearchitecting algorithms for GPUs.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe5Tz9ckaEsmiCOCBRiSkIWoRjsjmlYImpGMRiNjD3CZFjP3cdqz1ak4HZDK-AiUi5j0FQdKDxZg1KI2rG5AafmrCYY-uOiPqU9KHemQSfnwG697XkK2sa2cIsYkjMnY3JCbyG-Lw?key=FiBPpN_VIY8oopQ1FfRq6HI4)\n\n**🧑‍💻What it means for designers:**\n\n* Quick power, performance, and area estimates\n* Fix timing/power bugs in RTL w/out handoff to the PD team\n* Build better chips, faster\n\n**✅What we have right now:**\n\n* 700X faster Static Timing Analysis - enabling super quick performance simulations\n* 100X faster Gate Resizing\n* 100X faster global and detailed placement\n\n**🔜What’s in the pipeline:**\n\n* LSP integration for Incremental synthesis - Synthesis as fast as you can type\n* Natural Language interface to any intermediate database - Directly query the state of your database with text instead of asking a junior engineer to build you a dashboard\n\n**Our Ask**\n\nEmail us at {vamshi, will}@partcl.com to try Partcl and let us know what you think.\n\nAre you building\n\n* **AI Accelerators**? Partcl brings in tapeout deadlines with faster tools, bringing your chip to market faster!\n* **Embedded/ IoT devices**? Partcl decreases NRE by shrinking design cycles. Decreased NRE directly translates to higher margins.\n* **Mobile SoCs**? Partcl’s physics informed models let you optimize the power-performance tradeoff for your use case.",
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        "votes": 33,
        "created_at": "2025-05-12T20:45:49.479Z"
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    "id": 30193,
    "name": "Bud",
    "slug": "bud",
    "former_names": [
      "Fin",
      "Guse",
      "Orchids"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32278d9de5655494bb5e5ac203fbf68330609789.png",
    "website": "https://bud.app/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bud is an agent with a computer. You can use it from web, text, or telegram. Bud can build & code, fully use a browser, do professional work (research, slides, docs, excel), use skills, and run completely autonomously.\r\n ",
    "one_liner": "Agent with a computer",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1737490708,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Acquired",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bud",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/bud.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "https://x.com/orchidsapp",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 1311789,
        "full_name": "Kevin Lu",
        "title": "Founder/CEO",
        "founder_bio": "Building Bud. Prev CS/Math @ Penn, Gen AI @ AWS, Research @ Stanford HAI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevin-lu-22724b1a5/",
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        "user_id": 1370943,
        "full_name": "Bach Tran",
        "title": "Founder/CTO",
        "founder_bio": "Building Bud. Prev CS @ Penn, Engineering @ Addepar",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/giabachtran",
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    "id": 30196,
    "name": "Stamp",
    "slug": "stamp",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ec77fe8f30c765884c0359fdaafcf0412168dd15.png",
    "website": "https://www.stampmail.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Stamp is the first AI Native inbox. It's more than an email client, though -- it's like your second brain.\r\n\r\nStamp can respond to emails in your voice, organize your inbox to filter out the noise, keep track of action items, and automate essentially every task you're doing manually in your inbox today.",
    "one_liner": "The AI Secretary for Email and Calendar.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1739302465,
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/stamp",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/stamp.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 974285,
        "full_name": "Archit Mehta",
        "title": "Founder/CEO",
        "founder_bio": "Stamp CEO. Previously graduated at 20, built products with 50k+ users, Software Engineer at Stripe.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/4architmehta",
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      {
        "id": 87653,
        "title": "Stamp: Cursor for Email",
        "tagline": "The First AI Native Email Client",
        "body": "# **TL;DR**\n\n[Stamp](https://stampmail.ai) is the first AI Native Email Client. It replies to emails in your voice, automatically prioritizes emails, and tracks key action items for every email. \n\nIt’s more than an email client. It’s like your second brain.\n\nWatch our demo [here](https://youtu.be/pLrj4Gtgg6Y)\n\n# **The Problem**\n\nWe’ve all dealt with managing hundreds of daily emails, and it's a massive headache. \n\nTrying to stay on top of your emails is practically a second job. The average employee spends 25% of their time at work buried in their inbox, and the average person receives 100+ emails daily that require manual action.\n\n# **The Solution**\n\nThis is why we built Stamp, the inbox that tailors itself to you.\n\n**Tab, Tab, Tab**\n\nStamp gives you Cursor Tab, right in your inbox. It automatically generates contextualized sentence completions and inline diffs, right as you type your email\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/99a30113-256c-4483-9b01-8f3ba4551924)\n\n**Write Emails at the Speed of Thought**\n\nStamp writes emails in your voice with global context from your inbox. The tone and context for every reply are intelligently tailored to the recipient, exactly like the emails you’d write yourself.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/71ebc832-0d0c-4424-bb75-0fc78a30bba0)\n\nAnd just like Cursor CMD+K, you can edit portions of your email with a single highlight.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/ab444480-64be-4467-a31a-0177190f61ff)\n\n**Filter Out the Noise**\n\nStamp allows you to write email filters in plain English, so you can automatically prioritize the emails that matter most and filter out junk. Emails from the same categories are automatically grouped together, so that you can focus on the emails that truly matter most.\n\nYou’ll never have to read a junk email again.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/63ad1ba9-afa1-4608-9514-59a82e56aff2)\n\n**Stay On Top of Your Inbox**\n\nStamp automatically generates summaries and extracts key action items for every email you receive, so that you always remember to follow up on critical tasks.\n\nNever worry about missing a deadline again.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/797ff8f1-4db9-4c3a-b7e0-9239f53a3f00)\n\n# **Our Ask**\n\nYou can get started with Stamp by signing up at [stampmail.ai](http://stampmail.ai). Users who sign up within the next week will be able to use Stamp for **100% free for 1 year**.\n\nAs soon as you sign up, Stamp will get to work, automatically prioritizing your inbox, tracking action items, and creating summaries for recent emails!\n\nIf you have questions or feedback, you can always feel free to reach out to us at [founders@stampmail.ai](mailto:founders@stampmail.ai) \n\n# **Team**\n\n[Archit](https://linkedin.com/in/4architmehta) - Previously worked as a Software Engineer at Stripe, where he saved the company $1,000,000+ yearly by optimizing database storage. He also previously worked on Autonomous Systems at Apple and Robotic Surgery at Johnson & Johnson Robotics. Before that, he graduated from Cornell at age 20, where he led a team of 50 students building mobile apps with 10,000+ daily users. While still in high school, he built a PPE price tracker that scaled to 50,000 users during the height of the pandemic.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/1d60b94d-bb74-4412-a480-0f0fbdf30663)\n\n",
        "url": "https://www.ycombinator.com/launches/Mnl-stamp-cursor-for-email",
        "votes": 51,
        "created_at": "2025-02-13T17:25:39.380Z"
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    "id": 30198,
    "name": ".Wave",
    "slug": "dotwave",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e16adbb8c4442e6124b56566c82ed680beaba21a.png",
    "website": "https://dotwave.ai/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": ".Wave builds a continuous inference engine for streaming AI models, including full-duplex voice and streaming speech recognition.   \r\n\r\nCustomers bring their models; we integrate and run them, managing execution, session state, and scheduling to reduce end-to-end latency and serving cost per live session.  \r\n\r\nWe use cadenced inference to support more concurrent sessions per GPU while keeping latency low and consistent.",
    "one_liner": "Continuous inference for streaming AI models",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1741300119,
    "tags": [
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      "B2B",
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dotwave",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dotwave.json",
    "year_founded": 2024,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/dotwaveai/about/?viewAsMember=true",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
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        "user_id": 1458005,
        "full_name": "Thomas Minassian",
        "title": "Founder/CEO",
        "founder_bio": "CEO .Wave. Our team built Parler-TTS Mini Multilingual, the world’s first fully multilingual open-source text-to-speech model, with 300,000 monthly downloads, and Dollyglot, the first model to turn a photo into a real-time video avatar.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/thomas-minassian-b25626102",
        "x_url": "https://x.com/thminassian",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b4cb586d951f5c9e9e241d2265b52891a44a07b.jpg"
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      {
        "user_id": 1646678,
        "full_name": "Paul-Henri Biojout",
        "title": "Founder/CTO",
        "founder_bio": "CTO .Wave. Our team built Parler-TTS Mini Multilingual, the world’s first fully multilingual open-source text-to-speech model, with 300,000 monthly downloads, and Dollyglot, the first model to turn a photo into a real-time video avatar.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/phbiojout",
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        "id": 88334,
        "title": "Dollyglot: Befriend Anybody",
        "tagline": "Dollyglot is like Character.ai but with real-time video avatars.",
        "body": "[Dollyglot](https://www.dollyglot.com/) is like Character.ai but with real-time video avatars.\n\nTurn a photo and a voice into a real friend. Speak with Harry Potter about Hogwarts, or brainstorm ideas with The Rock!\n\n[**Our Product Video**](https://youtu.be/GhuqAMSq6HY)\n\n**Our Team:** **We’ve lived and worked together for two years**\n\n**Thomas**: Ex-quant at Société Générale. Master’s in Applied Mathematics and Business (HEC Paris, University of Paris 7).\n\n**Paul-Henri**: Built the Yumi Dialogue Engine, an AI for creator “clones” that scaled to 1 000 paying users. Dropped out of CentraleSupélec (Computer Science) to launch Dollyglot.\n\n**Together, we built Parler-TTS Mini Multilingual**, the world’s first and only fully open-source multilingual text-to-speech model. In the last month alone, it has garnered over 5,000 downloads and inspired many fine-tuning projects.\n\n![uploaded image](/media/?type=post&id=88334&key=user_uploads/89898/49894db9-ac0d-45da-bb91-4944831f8a38)\n\n**Our Vision**\\\nWithin five years, every Gen Alpha will have an AI best friend. By nature, AI is empathetic and nonjudgmental, creating a safe space where everyone can truly be themselves.\n\n**What We’ve Built**\n\nDollyglot developed the world’s first and only photo-to-real-time video avatar model. Paired with reasoning models like DeepSeek R1 or Grok, we bring your AI friends to life and make 'non-lobotomized' characters.\n\n **What’s Next**\n\nJoin our waitlist to try Dollyglot in the coming weeks.\n\nQuestions? Contact Thomas (CEO) at [thomas.minassian@dollyglot.com](mailto:thomas.minassian@dollyglot.com) or Paul-Henri (CTO) at [paul-henri.biojout@dollyglot.com](mailto:paul-henri.biojout@dollyglot.com).",
        "url": "https://www.ycombinator.com/launches/Myk-dollyglot-befriend-anybody",
        "votes": 18,
        "created_at": "2025-03-07T01:37:29.930Z"
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    "id": 30199,
    "name": "awen",
    "slug": "awen",
    "former_names": [],
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    "website": "https://www.awen.ai/",
    "all_locations": "Paris, Île-de-France, France; Remote",
    "long_description": "AI creative tools became powerful quickly. But they also got complicated. Most of them require creatives to do the engineering.\r\n\r\nPrompts.\r\nParameters.\r\nNode graphs.\r\n\r\nCreative work doesn’t start there. It starts with thinking, exploring directions, and iterating on ideas. With Awen, we’re trying a different approach: \r\n\r\nA creative partner that turns intent into exceptional visuals through conversation.",
    "one_liner": "awen translates intent into exceptional visuals through conversation",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1740711023,
    "tags": [
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      "SaaS",
      "Creator Economy"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/awen",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/awen.json",
    "year_founded": 2023,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/awen-ai",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 1031855,
        "full_name": "Thibault Henriet",
        "title": "Founder/CEO",
        "founder_bio": "Founder at awen. Previously served as Head of Operations France at Moda Operandi, a fashion tech scale-up, overseeing creative operations. Prior, worked as an assistant for contemporary artists, supporting artwork production and managing commissions across advertising, cinema, design, fashion, music, and publishing industries. At 21, received the prestigious O1 visa in visual arts. Alumnus of Sciences Po Paris.",
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        "linkedin_url": "https://linkedin.com/in/thibault-henriet-595a5860",
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      {
        "id": 99315,
        "title": "Awen",
        "tagline": "We translate intent into exceptional visuals through conversation",
        "body": "Bonjour,\n\nAI creative tools became powerful quickly.\n\nBut they also got complicated. Most of them require creatives to do the engineering: prompts, parameters, node graphs.\n\nIn many cases, creatives are now expected to think like engineers but creative work doesn’t start there. It starts with thinking, exploring directions, and iterating until something feels right. That’s what we wanted to build around.\n\nWith **Awen**, we’re trying a different approach:\n\nA creative partner that turns intent into exceptional visuals through conversation.\n\nWatch with sound on and join now on <https://www.awen.ai/>\n\n* If you'd like to connect with us directly, please reach out to [thibault@awen.ai](mailto:thibault@awen.ai).\n\n<https://www.youtube.com/watch?v=fcStHXo60Js&t>\n\n![uploaded image](/media/?type=post&id=99315&key=user_uploads/1031855/a714a829-87bf-4ddd-9d41-68132f6a201f)\n\n",
        "url": "https://www.ycombinator.com/launches/Ppr-awen",
        "votes": 18,
        "created_at": "2026-04-01T14:46:53.694Z"
      },
      {
        "id": 88151,
        "title": "Awen: Imagine Photoshop, but simple?",
        "tagline": "awen makes creation as natural as having a conversation.",
        "body": "🎥 **Rather than tell you, we’d rather show you:**\n\n<https://youtu.be/tJ_176h6HiQ>\n\n**TL;DR**\n\nTraditional creative tools are powerful but complex. Awen changes that. Instead of navigating complex menus, creatives can simply describe their vision—_“Draw me a Swiss mountain lake. Now make it sunset. Add a boat. Now animate it.”_\n\nAwen leverages AI reasoning to understand creative intent through voice. Our goal is to redefine how creatives engage with AI technology, balancing power and ease of use for both professionals and newcomers.\n\nWe are rebuilding Photoshop, with an AI-voice interface.\n\n**The Team**\n\nAwen is built by Thibault, Pablo, and Antoine—a unique blend of experts in machine learning, software engineering, and creative production in advertising, fashion, media, publishing, and entertainment.\n\n**Shall we speak?**\n\nOur community is growing with talented minds:\n\n* If you'd like to connect with us directly, please reach out to [thibault@awen.ai](mailto:thibault@awen.ai).\n* Want to join the visionaries on our waitlist? [Sign-up here.](https://www.awen.ai/)\n\n![uploaded image](/media/?type=post&id=88151&key=user_uploads/1031855/fa2e6ae2-1d36-4b99-9ae5-4a12408fd535)\n\n",
        "url": "https://www.ycombinator.com/launches/Mvn-awen-imagine-photoshop-but-simple",
        "votes": 42,
        "created_at": "2025-02-28T17:41:28.908Z"
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    "id": 30204,
    "name": "Subtrace",
    "slug": "subtrace",
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    "website": "https://subtrace.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Subtrace is a zero-code network tracer. It's like having an inspect element button for your whole infra: when you start a process with Subtrace, you'll see every HTTP request coming in and going out in realtime. Under the hood, it uses BPF to make this possible without any root privileges or code changes. We have ~2.5k stars on Github.",
    "one_liner": "Zero code network tracer",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1733176117,
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    "batch": "Winter 2025",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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      "name": "Brad Flora",
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      {
        "user_id": 211631,
        "full_name": "Adhityaa Chandrasekar",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO at Subtrace. Previously worked at Google as a software engineer on Kubernetes internals and GKE infra monitoring. University of Waterloo and IIT Madras alum.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/adtac",
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        "user_id": 1755130,
        "full_name": "Sachin Sridhar",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO at Subtrace. Previously a software engineer at Microsoft, where I worked on Power BI/Microsoft Fabric. Studied computer science at IIT Madras.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sachin-sridhar",
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      {
        "id": 87493,
        "title": "Subtrace: Resolve production issues in minutes, not months",
        "tagline": "Get full visibility into every backend request",
        "body": "Hey, this is Adhityaa and Sachin 👋\n\nWe built Subtrace to give backend teams full visibility into every request—payload, latency, status, headers, logs—all in one place. YC companies like Trieve (W24) are already using Subtrace in production to improve their incident resolution time from months to minutes ([read their case study](https://subtrace.dev/customers/trieve)).\n\n# **Problem**\n\nToday's backend monitoring tools like Sentry and OpenTelemetry leave out the most crucial details of each request, forcing backend developers to search through logs to root cause issues.\n\n# **Solution**\n\nSubtrace brings every backend request into one clear, Chrome DevTools-like interface so that you can resolve issues fast—often before your first coffee. Here's how it works:\n\n**🔍 Search & Filter**\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/0efb0809-659a-415b-bd9b-7bc7b36c5f89)\n\n_Quickly search for the requests that matter using simple filters_\n\n**🔦 Inspect & Analyze**\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/741d090f-6392-4c95-9a2e-594d48148e3d)\n\n_Click any request to view full details like payload, headers, latency_\n\n**🎥 Record & Replay**\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/d740c6c4-d4ad-4390-948d-ac780ee8dbc2)\n\n_Reproduce issues easily by replaying prod requests elsewhere_\n\n**💬 Share & Collaborate**\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/7698ee18-733b-4601-b7b7-5a4e9425148d)\n\n_Share detailed snippets with your team to solve issues together_\n\nYou can get Subtrace working with just a single command.\n\nTry for yourself: [**Docs →**](https://docs.subtrace.dev)\n\n# **Team**\n\nWe met 10+ years ago as undergrads and we've been great friends ever since. Adhityaa went to **IIT Madras**, the **University of Waterloo** and worked at **Google**. Sachin went to **IIT Madras** and worked at **Microsoft**.\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/d6577599-ad96-407e-9745-be38eacb5975)\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/c7ce8553-c0bb-4a26-9f3a-1625ad6a98f0)\n\n\n# **Ask**\n\nAre you a backend / full stack developer? Do you run an engineering team?\n\nYC companies are already using Subtrace today, we think you'll love it.\n\nEmail [founders@subtrace.dev](mailto:founders@subtrace.dev) (or [submit this form](https://form.typeform.com/to/JoVcpdrn)) and we'll show you a demo!",
        "url": "https://www.ycombinator.com/launches/MlB-subtrace-resolve-production-issues-in-minutes-not-months",
        "votes": 42,
        "created_at": "2025-02-07T07:42:14.178Z"
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    "name": "Promptless",
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    "long_description": "Docs are integral to a great customer experience, but managing them is a challenging, multi-team effort. The most successful companies recognize that fantastic docs drive adoption and bad ones cause customers to churn. Promptless is used by fast-growing startups and Fortune 500 enterprises alike to automatically update docs based on feature releases, support tickets, internal Slack conversations, and more.\r\n\r\nPromptless is designed to be flexible—it can integrate with any docs platform, be triggered automatically from many workflows, and can pull in context from any internal knowledge source.\r\n\r\nWith Promptless, documentation becomes a strategic advantage for growth, not a bottleneck or a liability. ",
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    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1734445501,
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    "url": "https://www.ycombinator.com/companies/promptless",
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        "full_name": "Prithvi Ramakrishnan",
        "title": "Founder",
        "founder_bio": "Prithvi co-founded Promptless.\n\nBefore Promptless, he served as VP of Product & Engineering at Bond, a fintech infrastructure startup acquired by NYSE:FIS in 2023. There he saw firsthand the effort required to maintain hundreds of tutorials and guides and the outsized business impact of world-class documentation.\n\nPrithvi graduated from Stanford in 2015 (B.S. CS, AI track). He was also a 4-time International Mathematical Olympiad (IMO) participant, including as the youngest participant in 2008.",
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        "full_name": "Frances Liu",
        "title": "Founder",
        "founder_bio": "Frances is building Promptless, helping companies keep customer-facing content up-to-date. Prior to Promptless, Frances led product, ML/AI engineering, and LLM ops on petabyte scale at Cloudflare, OneSignal, and Graft. Yale undergrad. Stanford PhD drop-out. Has published LLM research.\n",
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        "title": "Founding Engineer (All Levels)",
        "url": "https://www.ycombinator.com/companies/promptless/jobs/FdJSR55-founding-engineer-all-levels",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.40% - 2.00%",
        "experience": "1+ years",
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      {
        "id": 87446,
        "title": "Promptless: An AI teammate that automatically updates your customer-facing docs",
        "tagline": "Promptless proactively drafts updates to your docs while you ship software and support customers",
        "body": "Hello! We’re Frances and Prithvi, founders of Promptless. \n\n# tl;dr\n\nDocs are integral to a great customer experience, but managing them is a challenging, multi-team effort. The most successful companies recognize that fantastic docs drive adoption and bad ones cause customers to churn. Promptless is already used by fast-growing startups and Fortune 500 enterprises alike to automatically update docs based on feature releases, support tickets, internal Slack conversations, and more. [Get started today](http://gopromptless.ai)! \n\n<https://www.tella.tv/video/promptless-automatically-update-your-docs-690g>\n\n# The Promptless Approach\n\n**Promptless drafts updates proactively for easy review**\n\n* Our AI agents monitor your software changes for when a documentation update might be needed, and can be triggered from a Slack conversation in one click. No prompt engineering required—hence the name _“Promptless”_.\n\n**Promptless lives where you work and can be triggered anywhere**\n\n* Instead of forcing you into yet another platform, Promptless integrates into your Slack channels, Github repos, Notion databases, Jira/Linear issues, Zendesk/Intercom tickets, and CMS platform.\n\n**Promptless-written docs are designed to maximize value to your customers**\n\n* Promptless is designed to prioritize accuracy, simplicity, and discoverability—ensuring that your customers can be onboarded quickly and can self-support without reaching out to your team.\n\n **Promptless is built for all kinds of customer docs**\n\n* Whether your docs are product tutorials, help-center articles, or developer guides, Promptless can handle it, and infers the style and structure of your documentation by reading your entire docs site.\n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/8196d287-25b1-4175-877b-92f03d41cf74)\n\n# How Customers Use Promptless Today\n\nPromptless is designed to be flexible—it can integrate with any docs platform, be triggered automatically from many workflows, and can pull in context from any internal knowledge source. Just a few examples: \n\n[Vellum](http://vellum.ai) (YC W23) has tons of Slack Connect channels with their key customers—they use Promptless to automatically trigger doc updates whenever their team answers a customer question that should be covered in their public guides. \n\n[Clay](https://clay.com/) (breakout prospecting super tool) has a product team that publishes biweekly changelogs and a content team that manages their guides—they use Promptless to automatically bridge that gap and draft new and updated guides whenever there’s a product update.\n\nA Fortune 500 company has full-time technical writers, but the context surrounding every change is spread across Linear, Confluence, and Slack–Promptless automatically assembles the relevant context and drafts doc updates for every PR, making every technical writer twice as productive. \n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/0a2388b3-a021-423b-80ba-3dc4d94a23f5)\n\n# Our Team and Expertise\n\nFrances and Prithvi have both run teams where great docs were a critical part of the customer experience. At OneSignal (YC S11) where Frances was Head of Data Science, she saw that docs engagement within the first 24 hours was directly tied to the biggest predictors of customers' lifetime value. At Bond (acquired by NYSE:FIS) where Prithvi was VP of Product and Engineering, he saw the challenging, multi-team effort that it took to maintain great customer docs, and wrote many of the guides himself. \n\n# Try it out!\n\nIf your team wants to spend less time maintaining docs and more time building great product and serving customers, email us at [founders@gopromptless.ai](mailto:founders@gopromptless.ai) or book some time on our calendar [booking link.](http://cal.com/team/promptless/15m-discovery-call)\n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/c0ad621e-2366-4b3a-9c6c-e460fd1634b1)\n\n",
        "url": "https://www.ycombinator.com/launches/MkQ-promptless-an-ai-teammate-that-automatically-updates-your-customer-facing-docs",
        "votes": 106,
        "created_at": "2025-02-05T18:56:49.595Z"
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    "id": 30212,
    "name": "superglue",
    "slug": "superglue",
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    "website": "https://superglue.ai/",
    "all_locations": "BY, Germany",
    "long_description": "superglue learns how your systems work from your company's knowledge and performs the implementation that normally requires human coordination and engineering work.\r\n\r\nImplement NetSuite, Sage Intacct, SAP, Business Central or Acumatica in days. Agents map and migrate legacy data, configure the system, and keep data in sync post go-live.\r\nConnect ERP, CRM, databases, and internal systems to AI platforms like Claude. Create governed data access for AI agents and track data usage across your org.\r\nConnect customer systems, import historical data and get new integrations live in hours. Let agents manage the entire implementation process end-to-end.\r\n",
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    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1737761136,
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        "full_name": "Adina Goerres",
        "title": "Founder/CEO",
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        "title": "superglue 🍯 - Open Source Data Translation",
        "tagline": "Get data from any system in exactly the format you need.",
        "body": "**Tl;dr** [superglue](https://superglue.cloud/) translates data from any system into exactly the format you need. It’s an open source proxy that automatically extracts, maps and transforms data so developers don’t have to write and maintain complex integration code. \n\n**Other tools say \"Use our API\". superglue says \"Use any API, in any way you want\".**\n\n[Find us on GitHub.](https://github.com/superglue-ai/superglue)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXejwKUtg5vNmIUFVD-naIZc3NVJVO4nIxzG1bVC5SkaA8g5JuhP7I9QWTBXPVCbKQdc6OY7bgFgVuJPf99JjYyBK3Y2TDpGG_ehUirAvBmANq8dkq9EpyY-72Dn56s6dW3LA6n82g?key=X6C0DCn4htyY5GQ3HDPmoqgF)\n\n# **Why it matters**\n\nMost companies struggle with data integration challenges daily. Energy providers pull meter readings from thousands of devices, fashion marketplaces standardize product data from various retailers, and fintech companies normalize transaction data across payment systems. Each system speaks its own language, forcing developers to write and maintain custom code to transform and normalize data. It's a massive waste of engineering resources and slows down business innovation.\n\n# **What we’re building**\n\n_superglue_ is an intelligent proxy server that automatically transforms data from external APIs into your desired format, eliminating the need for custom mapping code. By sitting between your application and APIs, it allows developers to define data structures once and apply consistent transformations across all integrations, turning complex data integration from a weeks-long project into a minutes-long configuration. The superglue proxy can sit outside your codebase - particularly good for legacy systems that are brittle and hard to change.\n\n**Key features**\n\n* **One-off LLM-powered translations**: Generate deterministic, high-performance translation code.\n* **Self-healing**: Detect format changes and update translations automatically\n* **Fast deployment**: Supports most APIs and data formats out of the box\n* **For enterprise**: Hosting, logging, retries, caches, access control\n\n## **Get Started**\n\n1. [Get access](https://superglue.cloud/) to our hosted version or install superglue as a lightweight local proxy\n2. Pick an API / data source to connect to\n3. Define your desired data output format\n\n![uploaded image](/media/?type=post&id=87434&key=user_uploads/1344607/34c24883-0af1-4dd0-89a7-4493b1913ddb)\n\n4. Let superglue handle transformations and schema enforcement\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfITHd_G-ZeA03HGoDOL8Oql_Jb4Pu50FWrLhRVldLEMgSyUN-cMsaY6T-Vx3xqEpyLz-6zWnejpU_1siA-1-LLX7okg-r2YqTaeDcU3xuAkAbgvGfWmVi4i-yyCVOuKaeQWGajlA?key=X6C0DCn4htyY5GQ3HDPmoqgF)\n\n<https://youtu.be/Bzbw3Oh9zIg>\n\n**How is this different from connector platforms and unified APIs?**\n\nUnlike platforms that offer predefined APIs for specific verticals and require developers to adapt to their specifications, _superglue_ provides universal data transformation that works with any API or data source. We give developers complete flexibility to transform data however they want, without vendor lock-in. Where other platforms support a limited set of integrations, _superglue_ can transform data from literally any source - whether it's a well-known API or a custom internal system - putting developers in full control of their data pipelines.\n\n**What if I want to own the integrations I build?**\n\nYou totally can with _superglue_. As an open-source solution, we provide full transparency and the ability to modify transformation logic at any level, ensuring you're never trapped in a black box. Unlike closed integration platforms, you own 100% of the integration logic. You can host the entire solution on your own infrastructure, with full access to source code and transformation rules.\n\n# **Get superglued**\n\nAre you currently building integrations, onboarding customers via integrations or too strapped to integrate them? Email us at [founders@superglue.cloud](https://mailto:founders@superglue.cloud), we’re happy to help.\n\nHave you built data-heavy integrations in the past? We want to speak to you!\n\nOtherwise get started on [Github](https://github.com/superglue-ai/superglue) or [book a demo](https://cal.com/teamindex/superglue-demo).\n\n# **About us**\n\n[Stefan](https://www.linkedin.com/in/stefan-faistenauer/) and [Adina](https://www.linkedin.com/in/adinagoerres/) first met in 2019 while studying in Munich. Their shared experience in the integration space led them to superglue.\n\n![uploaded image](/media/?type=post&id=87434&key=user_uploads/1344607/b7871bfd-f80c-48d4-90fc-aa1cb4b170c9)\n\n",
        "url": "https://www.ycombinator.com/launches/MkE-superglue-open-source-data-translation",
        "votes": 35,
        "created_at": "2025-02-05T16:56:51.804Z"
      }
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    "id": 30213,
    "name": "Dexto",
    "slug": "dexto",
    "former_names": [
      "Truffle AI"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/151976ce07fb22bf59209dda8531a283a9eeda58.png",
    "website": "https://www.dexto.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dexto makes it easy for developers to integrate AI agents into any software application. We do this by exposing agents as simple APIs that can be called from anywhere. Developers have used Dexto to add customer support agents into WhatsApp and analytics agents into Slack.",
    "one_liner": "AWS for AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1740509470,
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      "Generative AI",
      "Infrastructure",
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dexto",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dexto.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/dexto",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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        "user_id": 1684384,
        "full_name": "Shaunak Srivastava",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder. \nPrev. GenAI & 3D Research@CMU | Published at NeurIPS 2022, WACV '23 (in collaboration with Meta).\nBuilt AI products for face recognition and health estimation at Hyperverge.  ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shaunak-srivastava-244567163/",
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      {
        "user_id": 2369842,
        "full_name": "Rahul Karajgikar",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Truffle AI - building developer tools for AI agents\nFormer engineer at AWS OpenSearch. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rahul-karajgikar",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77e603d364e1917893bf77902db6eb2fe62e6c07.jpg"
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      {
        "id": 88053,
        "title": "Truffle AI - AI Agents that work in any Software Application",
        "tagline": "Integrate AI Agents with simple APIs, seamlessly",
        "body": "Hey YC!\n\nWe’re Shaunak and Rahul and we are making it easy for developers to **integrate AI Agents into any software application**. We do this by making agents available as simple APIs that can be called from anywhere. Developers have used Truffle to add customer support agents into WhatsApp and integrate analytics agents into Slack. Check out our demo below 👇\n\n<https://youtu.be/5tEuWYWNSPA>\n\n### **The Problem**\n\nWhile AI models have become more accessible, getting AI agents to production remains painfully complex. Developers don’t just need a model—they need to handle:\n\n* Managing state, memory, and vector databases\n* Manually integrating external tools and APIs\n* Customizing agents for specific business logic\n* Setting up and maintaining deployment infrastructure\n\nDespite existing frameworks, **developers still spend 60% of their time on \"glue code\" instead of building actual AI solutions**. Companies burn **$100K–$200K per year** on DevOps overhead, just to manage AI agent infrastructure. AI should be easier to integrate than this.\n\n### **The Solution**\n\nTruffle AI eliminates infrastructure headaches by turning AI agents into plug-and-play APIs:\n\n* **No infrastructure setup** - Our managed service handles the heavy lifting, eliminating deployment and scaling concerns\n* **Seamless integration** - Add AI agents to any application with just a few lines of code\n* **Full customization** - Build agents tailored to your specific business challenges\n* **Reusability** - Deploy the same agents across multiple applications\n\nMost AI adoption today is being held back by engineering complexity—Truffle AI removes that bottleneck, making AI agents as simple to integrate as calling an API.\n\n### **Our Story**\n\n![uploaded image](/media/?type=post&id=88053&key=user_uploads/1684384/164d65b8-6f92-4bc5-809d-a82b0c99c029)\n\nAs developers, we both hit the same frustrating wall: spending countless hours writing \"glue code\" for infrastructure instead of building innovative AI solutions.\n\nWhile exploring several frameworks to build AI agents, we discovered a critical gap - none addressed the massive infrastructure overhead required for production-ready AI systems.\n\nWith Rahul's expertise in large-scale deployment and cluster management at AWS and Shaunak's background in AI research and product development, we realized we were uniquely positioned to solve this problem.\n\nOur mission became clear: make powerful AI accessible to businesses of all sizes by eliminating the infrastructure barriers that slow innovation.\n\n### **Who Is This For?**\n\n👩‍💻 **Software developers** who want to add AI capabilities without becoming infrastructure experts\\\n🏢 **Startups and enterprises** looking to quickly deploy AI solutions without hiring specialized DevOps teams\\\n🔧 **AI engineers** who want to focus on agent design rather than deployment pipelines\\\n🛠️ **Product teams** who need to iterate rapidly on AI features without getting bogged down in infrastructure\n\n# \n\n### 🌎 **What Can You Build?**\n\nWith Truffle AI, developers have already built:\n\n💬 Customer support agents that automate WhatsApp & Slack interactions\n\n📊 Analytics agents that fetch and analyze data from spreadsheets\n\n🤖 Multi-agent workflows that coordinate different AI tasks seamlessly\n\n### **Get Started**\n\n**Looking to integrate AI Agents into your organization?** Truffle AI can help!\n\n* [Schedule a demo](https://calendly.com/shaunak-trytruffle/30min) with us!\n* [Try it out](https://www.trytruffle.ai/) yourself on our platform!\n* Want to dive into the code? Check out our [docs](https://docs.trytruffle.ai/introduction)!",
        "url": "https://www.ycombinator.com/launches/MuD-truffle-ai-ai-agents-that-work-in-any-software-application",
        "votes": 24,
        "created_at": "2025-02-26T15:01:48.086Z"
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    "name": "Ovlo",
    "slug": "ovlo",
    "former_names": [
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      "Ovlo",
      "Serno"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/132baabab2c2dd101f928b6f61adc1d4173a6ca6.png",
    "website": "https://ovlo.ai",
    "all_locations": "Dubai, Dubai, United Arab Emirates",
    "long_description": "Founder led hiring for London startups\r\n",
    "one_liner": "Founder led hiring for London startups",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1740586280,
    "tags": [
      "SaaS",
      "AI Assistant"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Recruiting and Talent"
    ],
    "regions": [
      "United Arab Emirates",
      "Middle East and North Africa"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ovlo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/ovlo.json",
    "year_founded": 2025,
    "city": "Dubai",
    "country": "AE",
    "linkedin_url": "https://www.linkedin.com/company/ovloai",
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    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 2199835,
        "full_name": "Andrew Malouf",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Ovlo",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/agmalouf/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1345c385d416b01ae8aaf208054343a1b90db87c.jpg"
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      {
        "user_id": 1545340,
        "full_name": "Amer Eid",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Ovlo, constantly building. Previously, Staff Software Engineer at Meta, contributing to WhatsApp for iOS, and Google, enhancing Fitbit’s health and wellness features. Led the development of MENA’s #1 music streaming app, serving millions. Passionate about building impactful, user-focused experiences.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/amer-eid92/",
        "x_url": "https://x.com/amereidxyz",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/862798c92dcc34505695f1e131f211bfedbb5e9e.jpg"
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    "id": 30215,
    "name": "Contrario",
    "slug": "contrario",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d87aacd192132e2914478f159180c7f82caa8ec.png",
    "website": "https://contrario.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Contrario is an AI recruiting and hiring platform on a mission to help companies build generational teams.\r\n\r\nIn the age of AI, the best teams are still built by the best people. Recruiting has become a zero-sum game where speed and quality decide who wins.\r\n\r\nContrario is a network of expert recruiters supercharged by vertical AI agents purpose-built for hiring. Teams at Wispr Flow, Listen Labs, Slash, and 200+ of the fastest-growing companies use Contrario to power their hiring.\r\n\r\nIn under six months, Contrario has crossed $6M in annualized revenue, paid out $1M+ to recruiters, and placed 150+ candidates — making it one of the fastest-growing AI recruiting platforms on the market.\r\n\r\nBacked by Y Combinator, Nexus Venture Partners, Goodwater Capital, and Inventum Ventures, alongside angels including David Chen (ex-HRT), Abhijeet Dwivedi (OpenAI), Hank Couture (DoorDash), and Jerry Cain (Stanford CS). Built by Stanford dropouts. Headquartered in San Francisco.",
    "one_liner": "AI hiring platform powered by expert recruiters",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1740035301,
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      "Recruiting",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
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    "regions": [
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/contrario",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/contrario.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/contrario-ai",
    "x_url": "https://x.com/ContrarioAI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/contrario",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d87aacd192132e2914478f159180c7f82caa8ec.png",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 2304578,
        "full_name": "Arya Marwaha",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at Contrario. Stanford BS (left MS early). Previously built an edtech startup to six-figure ARR, worked in product dev at BCG, and conducted research at Stanford HCI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arya-marwaha/",
        "x_url": "https://x.com/arya_marwaha",
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      },
      {
        "user_id": 1665251,
        "full_name": "Aditya Sood",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO at Contrario. Stanford BS graduate, Masters dropout. Led NLP at NASA, published AI research in defense tech, researcher at Stanford Artificial Intelligence Laboratory (SAIL) x Anthropic lab.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adibsood/",
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    ],
    "jobs": [
      {
        "id": 105471,
        "title": "BizOps",
        "url": "https://www.ycombinator.com/companies/contrario/jobs/QExVgmb-bizops",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $130K",
        "equity_range": "0.10% - 0.30%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 88187,
        "title": "Contrario: The 1st AI-powered Recruiting Network",
        "tagline": "Contrario is the best way for startups to fill critical roles",
        "body": "Hey everyone 👋\n\nWe’re Arya and Aditya – co-founders of Contrario.\n\n**TL;DR:** Contrario is the AI-powered recruiter network trusted by startups for hiring. Over 2,500+ engineers and 15+ companies are using Contrario to get jobs and fill roles.\n\n**_Ask:_** Can you refer talented startup recruiters in your network to join Contrario’s platform? Also, if you’re looking for exceptional talent to hire across GTM or engineering, you can reach out to me at [arya@contrario.ai](mailto:arya@contrario.ai).\n\nhttps://www.youtube.com/watch?v=xGu7fBLud48 \n\n**❌ The Problem**\n\nRecruiting is one of the largest and most influential industries in the world, worth over $2T and employing 60M+ workers per year.\n\nYet, today’s recruiting market still follows outdated, manual processes from 20+ years ago – leaving candidates stuck with a poor job search experience. There are three major pain points: \n\n1. Endless job applications with zero transparency\n2. Low recruiter response rates leaving applicants in the dark\n3. Failing behavioral screens with recruiters\n\nThese challenges compound over time, widening a critical gap in the recruiting market.\n\nUntil now, people relied on referrals and network connections to have a better chance at getting more interviews. But with advancements in AI, this is finally changing … \n\n**✅ Our Solution**\n\nAt Contrario, we’re a team of former candidates, recruiters, and AI experts using the latest technology to build the best candidate experience possible.\n\nCompanies can import their job from an ATS or upload their info, and our system immediately:\n\n* Defines **top recruiters** to work on your role based on past expertise and placement history\n* Uses **proprietary AI models** to dynamically generate **talent scorecards** that capture their top skills.\n* Leverages inbuilt integrations with **ATS systems** like Ashby/Lever and Slack/Calendly for seamless management.\n\nWith Contrario, companies conduct an intake call + upload their most important info for a job, and we handle the rest.\n\n**🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n✅ Hiring GTM talent or engineering talent for your startup?\n\n✅ Know top startup recruiters or agencies looking for additional revenue extension opportunities?\n\n👉 Contact us at [arya@contrario.ai](mailto:arya@contrario.ai) \n\n👬 **The Team**\n\nContrario was founded by Stanford dropouts Arya Marwaha (CEO, ex-BCG, led product at 5+ startups) and Aditya Sood (CTO, ex-NASA NLP, published at Stanford AI Lab x Anthropic). \n\n\\\nThey met in their first-year dorm at Stanford and have been building together ever since. Their firsthand experience on both sides of the hiring industry—Aditya as a candidate, and Arya as a recruiter—drove them to build an automated solution that bridges the gap.\n\n![uploaded image](/media/?type=post&id=88187&key=user_uploads/2304578/6fd2cf72-0768-46e7-9633-8ed9fd682aba)\n\n![uploaded image](/media/?type=post&id=88187&key=user_uploads/2304578/63b480fd-ad1b-4f05-9120-9afb42cdb7ef)\n\n",
        "url": "https://www.ycombinator.com/launches/MwN-contrario-the-1st-ai-powered-recruiting-network",
        "votes": 764,
        "created_at": "2025-03-02T00:35:18.358Z"
      }
    ]
  },
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    "id": 30216,
    "name": "Sublingual",
    "slug": "sublingual",
    "former_names": [
      "Khipu"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c536945e04bdc8b405d2bb35c81631f9b7c3c738.png",
    "website": "https://sublingual.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Our desktop app helps teams stay focused on shipping.",
    "one_liner": "Daily productivity tracker",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1740613527,
    "tags": [
      "Developer Tools",
      "Open Source",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/sublingual",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/sublingual.json",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 2378452,
        "full_name": "Matthew Tang",
        "title": "Founder/CEO",
        "founder_bio": "recommendation systems, computer vision, deep learning theory",
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        "linkedin_url": "https://www.linkedin.com/in/mhtang2/",
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      {
        "user_id": 2000233,
        "full_name": "Dylan Bowman",
        "title": "Founder",
        "founder_bio": "Background: LLM research in defense contracting and deployment safety.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dylan-bowman-68a56218b/",
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      {
        "id": 88096,
        "title": "Sublingual: LLM evals for lazy devs",
        "tagline": "Sublingual is an open-source LLM observability and evals platform that requires zero code changes to integrate. Instantly plug into a full suite of analysis tools with just one pip install—nothing else.",
        "body": "We've all done it: skipping evals, testing on vibes, and ripping it straight to prod. Integrating observability and evals can be a lot of work, which is why **Sublingual** gives you deep insights into how your LLMs perform without touching your code. It works across a wide range of environments, capturing extensive logs including LLM interactions, inputs, outputs, and server call data. Just pip install subl and you’re live.\n\n<https://www.youtube.com/watch?v=yoki32IJXBg>\n\n# **How we got here:**\n\nWe’ve spent years building and researching LLM applications, and we’ve seen firsthand how developers handle evaluation: sifting through logs, relying on intuition, and struggling with the friction of integrating existing observability tools when they just want to focus on building. Through conversations with numerous founders, we've learned that they're often too busy building to establish robust evaluation systems. So, they end up relying on a couple vibe tests before crossing their fingers and pushing to prod.\n\nThat’s why we built **Sublingual**—effortless LLM observability that works out of the box. No code changes, no distractions, just the insights you need to ship with confidence.\n\n# **Our approach:**\n\n* **Minimize onboarding overhead:** We’ve hacked away at the complexity of automating integration so you can start collecting insights instantly. Our design prioritizes minimal friction, ensuring observability works out of the box without interrupting your workflow.\n* **Minimize intrusiveness:** Disentangle logging and LLM serving logic to ensure logging server failures never impact LLM serving reliability. Sublingual is designed to be plugged in or removed without affecting any functionality of your code.\n* **Easy local hosting:** Our tool and stored logs are entirely local, so there’s no risk of data leakage.\n* **Code insights:** We use a mix of static and dynamic code analysis to deeply understand your program, extracting details that other platforms can’t like automatically finding prompt templates.\n\n# **Our ask:**\n\nTry it out right now, it will take less than a minute! If you don’t like it, just uninstall and your code will be exactly the same as before.\n\n⭐ Give our project a star 😊\n\n🧑‍💻 **GitHub:** <https://github.com/sublingual-ai/sublingual> \n\n🔗 **Website:** <https://sublingual.ai>\n\n![uploaded image](/media/?type=post&id=88096&key=user_uploads/2378452/c93b335e-b796-4b1d-92e8-db8367a16634)\n\n# **Our team:**\n\n![uploaded image](/media/?type=post&id=88096&key=user_uploads/2378452/8af49103-a15c-4959-b35d-d7aea830135f)\n\n[Dylan](https://www.linkedin.com/in/dylan-bowman-68a56218b/) (CTO): previously LLM research at UIUC Kang Lab and Dept. of Defense\n\n[Matthew](https://www.linkedin.com/in/mhtang2/) (CEO): previously TikTok ML on the recommendation algorithm and ads engine, LLM research for rec-sys at Nextdoor\n\nContact us:\n\n📧 founders@sublingual.ai",
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        "votes": 44,
        "created_at": "2025-02-27T01:56:08.363Z"
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    "id": 30217,
    "name": "Rocketable",
    "slug": "rocketable",
    "former_names": [
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    "website": "https://www.rocketable.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Rocketable is building a large portfolio of wildly profitable software businesses by acquiring existing products and replacing human teams with AI agents.\r\n\r\nToday’s foundation models already possess enough intelligence to automate most of the tasks required to run a profitable software business. In the functions where agents aren’t yet intelligent enough to replace humans, they will be soon.\r\n\r\nWhen every human function required to operate a software product has an AI agent equivalent, the next step will be within reach: operating an entire company with a team of AI agents instead of humans.\r\n\r\nBut superintelligent agents within each function won’t be enough. To operate a software company with 0 human employees, the agents will need to be directed towards common goals, integrated to collaborate across functions, tuned with feedback loops connected to product metrics, and trained to make resource allocation decisions.\r\n\r\nWe are creating the tools needed to replace the entire org chart of a software company with a team of AI agents. We are developing these tools by owning the products that we automate, because we know from 10+ years of experience building automated systems with AI/ML that integration is the key to unlocking superhuman performance.",
    "one_liner": "The AI Maximalist Software Holding Company",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1737653057,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "I started Rocketable after acquiring a small B2C SaaS business and spending a year running it as a solo entrepreneur. I couldn’t afford to hire a team of humans to help operate the business, so I did every function in the business myself. It is not an exaggeration to say that I spent more time interacting with LLMs in that first year than I did with other humans."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Operating a small software product let me live in a future that larger companies can’t yet experience - one where I can give the LLM full context for my business, rather than just a subset of that context that is curated by human editors, company policies, or identified by semantic indexing. I found that when all source code, knowledge base articles, blog posts, internal documentation, records of recent customer support issues, and results of recent NPS surveys can fit within the context window of a model, it unlocks entirely new, AI-native solutions to the common tasks that all software businesses face. I experienced this because my business was small enough to operate within the limits of today’s largest models, and discovered that building my own custom workflows on foundation models using this full context approach led to higher performance with lower effort compared to using enterprise AI tools that have raised hundreds of millions of dollars. This was the insight that led to Rocketable being a holding company rather than a traditional product company: when it comes to operating highly automated businesses, smaller is actually better! And this means that operating a large number of smaller software businesses profitably is now possible. This is an entirely different vector for scale than what we have traditionally seen in tech startups (which usually get bigger by growing a small number of products to very large usage). I believe the AI native future unlocks a different path: a very large number of smaller products, made to serve the needs of niche users much better than today's large, monolithic products will ever be able to do, operated efficiently through automation."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "I started working on this problem because I was disappointed by most AI products that I tried to use when operating the first business that I acquired. I wanted tools that would let me invest the effort required to reach full automation, and what I found were products that were forever stuck in co-copilot mode. After prototyping my own tools and achieving higher levels of performance with less effort, I decided to started Rocketable."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "The long term vision for Rocketable is to turn the task of running a software business into a reinforcement learning problem. As the cost of code & content creation decreases by 1000x, product development and marketing will become probabilistic processes (with many different variations of content and features tested in parallel).When AI workflow outputs are linked to financial metrics, data driven feedback loops will compound into superhuman performance.When workflow changes are deployed via pull request, winning strategies will be deployed instantly, everywhere. I believe this will create the conditions for the business version of the AlphaGo’s [Move 37](https://en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol#Game_2): winning business strategies that only AI can discover."
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    "url": "https://www.ycombinator.com/companies/rocketable",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/rocketable.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/105609915/admin/dashboard/",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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      {
        "user_id": 34777,
        "full_name": "Alan Wells",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO of Rocketable. Previously: 10+ years building products and leading teams that automated complex tasks with AI/ML: robotaxis at Cruise, self-driving trucks and ADAS systems at Uber, and an irrigation co-pilot product for farmers at Tule (YC S14). \n\nI write code, have a degree in design, and build hardware. Co-author on 5 patents related to systems & methods for automating complex tasks with AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/awells/",
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    "news": [
      {
        "title": "The Takeoff Has Started",
        "url": "https://rocketable.substack.com/p/the-takeoff-has-started",
        "date": "Jul 01, 2025"
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    "launches": [
      {
        "id": 87105,
        "title": "Rocketable 🚀 - The AI Maximalist Software Holding Company (W25)",
        "tagline": "We acquire software products and replace human teams with AI agents.",
        "body": "Hi all 👋 I’m [Alan](https://x.com/alanwells), founder of [Rocketable](https://www.rocketable.com/).\n\n# tl;dr\n\nI’m building a large portfolio of wildly profitable software businesses by acquiring existing products and replacing human teams with AI agents.\n\n<https://www.youtube.com/watch?v=W80DDvHz_wo>\n\n# The longer version…\n\nI started Rocketable because I think that most of the world is still underestimating the potential of AI.\n\nEven in Silicon Valley, most people assume that humans will maintain a monopoly on the creativity and insights needed to operate a successful software product.\n\nI think that’s extremely unlikely.\n\nI believe the real opportunity lies in assuming there is no job in a software company that can’t be automated by AI, and building from there.\n\n### But why are you acquiring existing products?\n\nI believe acquiring existing products is the key to speedrunning the path to building a single person, billion dollar software company.\n\nBy acquiring existing software products that already have customers and revenue, I can focus most of my attention on the challenge of automating those businesses.\n\nBy owning the products that I automate, I can ignore the management fiefdoms, data silos, and corporate politics that prevent most companies from maximizing the upside of deploying AI in their business.\n\nBy buying increasingly larger businesses, I can force myself to climb the ladder of automation complexity faster than most individual businesses evolve organically.\n\n### So what are you building?\n\nAlthough it’s obvious to me that today’s foundation models already have the raw intelligence needed to do most of the jobs in a large software company, it’s equally obvious that the tools needed to fully replace the entire org chart of a software company with AI agents do not yet exist.\n\nIn addition to being competent within each function, to operate software products with 0 human employees, the agents will also need to be:\n\n* directed towards common goals\n* integrated to collaborate across functions\n* tuned with feedback loops connected to product metrics\n* trained to make resource allocation decisions\n\nRocketable needs to build the software that enables all of those things to happen. Building the automation system while also owning the products that it operates allows me to:\n\n* underwrite the risks of early deployment and minimize the cycle time for experimentation\n* connect automation decisions to the outcomes that matter to the business (profitability, growth, retention) rather than intermediate steps in the process.\n* maximize value captured from automation by keeping the upside in-house\n\nThere are also significant opportunities to improve the performance of agents (and the customer experience of products they manage) by re-thinking the approach from first principles and ignoring the assumptions that many AI-enabled vertical SaaS products are built upon.\n\n**For example:** instead of automating the typical customer support workflow you see in most companies (where customers interact with relatively low skill tier 1 customer service agents when they have an issue), why not use AI to scale founder-mode support (empowering your AI support agent with access to source code, production databases, and ability to open a PR that solves a customer problem)?\n\n### What makes you think you can do this?\n\nIn 2023, I acquired a small, profitable software business on [Acquire.com](http://Acquire.com) and started experimenting with using LLMs to automate the business. That experience gave me confidence that with the right approach to automation, there is a clear line of sight to fully automating the operations of a software business.\n\nPrior to working on Rocketable, I spent a decade building products and leading teams that used AI/ML to automate complex tasks. I worked on self-driving cars at Cruise, self-driving trucks and ADAS systems for micromobility at Uber, and an irrigation co-pilot for farmers at Tule (YC S14). Before working on AI-enabled products, I managed traditional B2C and B2B products across web and mobile platforms.\\\n\\\nI write code, have a degree in design, build hardware, and have also worked on optimizing other complex systems (international supply chains and field operations).\n\n### Maybe you’re not crazy. How can I help or get involved?\n\n**📨 Subscribe to updates:** If you’re interested in following along as I figure out the playbook for running software businesses with teams of AI agents instead of humans, [subscribe here](https://rocketable.substack.com/subscribe).\n\n**🚰 Help with deal flow:** I’m starting to work on my next acquisition and looking to meet owners of software products that are currently generating $250K-$600K in annual profit who may be interested in selling. If that sounds like you or someone you know, [please contact me here](https://www.rocketable.com/submit-product).\n\n**🛠️ Work with Rocketable:** It’s likely that I will need to hire a small team of AI-augmented humans to help build the platform that enables acquired products to operate without employees. If you have the domain mastery and technical skill needed to automate one or more of the critical functions of a software business, [please contact me here](https://www.rocketable.com/apply).\n\n![uploaded image](/media/?type=post&id=87105&key=user_uploads/34777/46dabca1-9d5b-4b20-b82d-5c63127e2f7d)\n\n",
        "url": "https://www.ycombinator.com/launches/Mev-rocketable-the-ai-maximalist-software-holding-company-w25",
        "votes": 27,
        "created_at": "2025-01-23T18:29:37.843Z"
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    "id": 30220,
    "name": "Verbiflow",
    "slug": "verbiflow",
    "former_names": [],
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    "website": "https://verbiflow.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We help startups reach prospective customers through email, LinkedIn, and cold calls, while keeping your team aligned on every conversation and response.",
    "one_liner": "Outbound Sequencing Infrastructure for Startups",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1740147387,
    "tags": [
      "SaaS",
      "Analytics",
      "Sales",
      "Sales Enablement",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/verbiflow",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/verbiflow.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/verbiflow/",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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      {
        "user_id": 2368054,
        "full_name": "Kashyab Ambarani",
        "title": "Founder",
        "founder_bio": "Co-founder of Verbiflow",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kashyab-ambarani/",
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        "user_id": 2087146,
        "full_name": "Rishi Mahadevan",
        "title": "Founder",
        "founder_bio": "Co-founder Verbiflow",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rishi-mahadevan-625844109/",
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      {
        "id": 87898,
        "title": "Verbiflow - The Swiss Army Knife For Your Sales Team",
        "tagline": "The all-in-one platform for sales teams to capture, manage, and automate their entire process. ",
        "body": "Hey everyone! We're Kashyab and Rishi, co-founders of Verbiflow 😁\n\n# tl;dr\n\nVerbiflow is the all-in-one platform for sales teams to capture, manage, and automate their entire process. Capture leads with intelligent prospecting that identifies high-potential prospects based on real-time events and smart scheduling & routing that instantly assigns those leads to the best-suited sales rep. Manage your pipeline with complete flexibility, defining and tracking custom KPIs across all your sales interactions. Automate reminders and workflows to keep deals moving forward, all within a single, unified platform.\n\n**Ask:** warm intros to sales leaders 😇 (CRO, VP of Sales, & Director of Sales)\n\n<https://youtu.be/0jZayvEkiI4>\n\n# The Problem 👎\n\nSales teams are grappling with inefficiencies that plague every step of the sales process, from chasing down leads to sealing the deal. For sales reps, the clock is their enemy: they spend just 35% of their time actually selling, leaving about 6.5 hours a day tangled up in manual chores like data entry, prospect hunting, call logging, and scheduling follow-ups. This time sink costs companies roughly $68,000 per rep each year in lost productivity—like paying for a chef who spends most of their shift washing dishes instead of cooking. It’s not just money down the drain; it’s missed chances, too. Leads are 9x more likely to turn into customers if contacted within 5 minutes, but reps buried under admin work can’t keep up, letting golden opportunities slip away.\n\nAccount Executives (AEs) are under pressure to close complex deals, but they’re stuck piecing together past interactions from scattered emails, linkedin messages, notes, and tools to get full context on a deal. This chaos makes it nearly impossible to remember key discussions or spot issues threatening the deal like price objections or competitor mentions early enough to act. AEs lack the real-time insights to tackle blockers as such head-on. Meanwhile, they’re bogged down tracking multiple deals across clunky, disconnected systems, while needing to manually update them too. To top it off, deals often land with the wrong AE—like asking a barber to fix your car; they’re skilled with scissors, not engines, and your car’s not going anywhere fast. Win rates tank, and growth goals slip out of reach.\n\n**The outcome?** A frustrated sales team that’s overworked, stretched thin, and underdelivering on the company’s revenue goals.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfsJ9u8AMu5T7GayrI8W-Tj0Tcjadt4A_-xcLxSh-k5kba2Es3uSw9_DWUEHGX4U8X7shcpXwSdLexdlKMBRZl9IYAZLtts1nNR52_7WCMkBvsAT2uVP8vSz3uW34dz6QA6wxTwnw?key=9M7pNCNH6ZN22VTOIZDfTMsS)\n\n# Our Solution 🤩\n\n![uploaded image](/media/?type=post&id=87898&key=user_uploads/2368054/5e2c41a3-b5c3-4a66-9342-21d027cba0b0)\n\n**Time Wasted on Manual Tasks** \\\nVerbiflow automates lead identification, data enrichment, scheduling, and pulls in all your sales interactions. This eliminates the repetitive manual work that eats up 6.5 hours of a rep’s day, letting them focus purely on selling.\n\n**Missed Opportunities and Poor Deal Assignment**\\\nVerbiflow ensures leads are contacted instantly with automated follow-ups—hitting the 5-minute window when conversions are 9x more likely—while smart routing matches those deals to the best-suited AE based on expertise and performance history. This keeps opportunities alive and optimally assigned without manual effort or guesswork.\n\n![uploaded image](/media/?type=post&id=87898&key=user_uploads/2368054/e5ba9f9e-6e63-423c-b61a-3414151bf03a)\n\n**Lack of Centralized Context** \\\nA unified pipeline consolidates all deal-related emails, messages, calls, & notes, into one view. AEs get a full picture instantly, without digging through scattered sources.\n\n**Sales Blockers**\\\nAI-powered KPIs flag specific hurdles—like pricing objections, competitor mentions, or price consciousness—giving AEs precise insights to resolve issues quickly.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeog_b3ymaSnvHZeJ97Ybp1ql3WqyZwPQBkRwiZyOl5IajGnwuEgU3HTSxbQIH64diOOKnwFsiCQGa5-39n0lKEfs-GEdFzu8tKR-ycfu_tJTVEqnm1J-mxcqIn5Pywph6_ZS-WqQ?key=9M7pNCNH6ZN22VTOIZDfTMsS)\n\n# The Team 🚀\n\n![uploaded image](/media/?type=post&id=87898&key=user_uploads/2368054/2fb432c3-988f-4297-b4aa-984792d8837d)\n\nWe’ve been spending 10+ hours every day with each other since 2024 & have shared a love for building, movies, & music since we met.\n\nKashyab has seen sales teams struggle with disorganization and inefficiencies across the board—from billion-dollar giants to seed-stage startups. Rishi has witnessed the fallout: sales teams buckling under high turnover and missed revenue goals, often due to fragmented data and poor handoffs. Together, we bring 7 years of experience building integrations and shaping B2B SaaS products, blending technical expertise with real-world sales insights. Our hands-on understanding of these problems, paired with our ability to ship fast, makes us the perfect team to fix what’s broken in sales.\n\n# Ask 🙌\n\nWe’re pouring our all into Verbiflow and could use your help:\n\n* Warm intros to sales leaders (CRO, VP of Sales, & Director of Sales)\n* Learn more [here](https://verbiflow.com/) & [book a demo if you’re interested!](https://app.verbiflow.com/calendar)",
        "url": "https://www.ycombinator.com/launches/Mri-verbiflow-the-swiss-army-knife-for-your-sales-team",
        "votes": 44,
        "created_at": "2025-02-21T16:58:54.965Z"
      }
    ]
  },
  {
    "id": 30221,
    "name": "A1Zap by A1Base",
    "slug": "a1zap-by-a1base",
    "former_names": [
      "A101",
      "A1Base"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b25e6db85435aae7d3185331b3d10ca0ba1f730.png",
    "website": "https://www.a1zap.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The social network where people build things for each other\r\nCreate tools, games, chatbots, and interactive experiences - then share them instantly with your friends, your class, and your campus.",
    "one_liner": "The social network layer for AI apps",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1740109834,
    "tags": [
      "Social"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/a1zap-by-a1base",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/a1zap-by-a1base.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/a1base",
    "x_url": "https://x.com/a1baseapi",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b25e6db85435aae7d3185331b3d10ca0ba1f730.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 1512,
        "full_name": "Pasha Rayan",
        "title": "Founder/CEO",
        "founder_bio": "CoFounder of A1Base (YCW25). CoFounder of Forage (YCW19 - Acquired). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pasharayan",
        "x_url": "https://twitter.com/Pashpops",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93ed62b3c2ac6a01fe2d6e7af38517ed4f8b35b9.jpg"
      },
      {
        "user_id": 311896,
        "full_name": "Pennie Huang",
        "title": "Founder",
        "founder_bio": "Co-Founder of A1Base.\nPreviously early hire eng/product @ Forage (W19)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pennieli",
        "x_url": "https://x.com/pennepastaa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/feec77af237dfadc754e1dce6a4e19092c791324.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 100072,
        "title": "A1Zap - the social network layer for AI apps",
        "tagline": "Starting with campuses - build apps that spread through a unified social graph",
        "body": "<https://youtu.be/XDBbb3vrdL0>\n\nSocial networks were built for content. But with AI, people don’t just have to post. They want to build things that engage with others.\n\nA1Zap is a social network where people build things for each other.\n\nOn A1Zap, anyone can create AI-powered apps, chatbots, tools, and agents and share them instantly with friends, group chats, campus and their community. Distribution isn’t a separate problem. It’s built in to our platform from day one.\n\nWe’re starting with campuses - our founders also spent the last 10 years working on a college based YC company (Forage!) - so we’re kind of experts here.\n\nWe’re already seeing this with “Rate My Rent” at UT Austin, group matchmakers at Harvard, and campus maps, events, and tools across universities.\n\nThese aren’t posts. They’re things that happen to you.\n\nOur belief is simple: the next generation of social networks won’t be content feeds. They’ll be networks of things people build and share with each other.\n\nIf you’re building for your friends, your class, or your community, we’d love to chat with you.\n\nStudents - join your campus: <https://www.a1zap.com/>",
        "url": "https://www.ycombinator.com/launches/Q24-a1zap-the-social-network-layer-for-ai-apps",
        "votes": 49,
        "created_at": "2026-04-22T19:09:17.670Z"
      }
    ]
  },
  {
    "id": 30222,
    "name": "Altrina",
    "slug": "altrina",
    "former_names": [
      "Symmetric Labs",
      "Tessa",
      "General Agency"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23ee7aa773e16f7887979b0dcfa61db69ba9fd25.png",
    "website": "https://altrina.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Altrina automates SOPs to give humans back their time to do what matters.\r\n\r\nWe have already significantly improved organizational efficiency for local governments, law offices, insurance brokers, consulting firms, and hedge funds.\r\n\r\nFormerly General Agency/Tessa AI",
    "one_liner": "The SOP Automation Platform",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1736185270,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/altrina",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/altrina.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/altrina",
    "x_url": "https://x.com/altrina_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/23ee7aa773e16f7887979b0dcfa61db69ba9fd25.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1374660,
        "full_name": "Mo Nasir",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Altrina, an automation platform for solving communications and process bottlenecks in human organizations. Previously worked on self-driving cars at NVIDIA.\n\nTea connoisseur 🍵",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/mohammednasir",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b5984a595618b6c37eefeee0664e320c71155151.jpg"
      },
      {
        "user_id": 955322,
        "full_name": "Harvey Hu",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of Altrina. Previously machine learning engineer at Google & TikTok, designing recommendation algorithms for billions of users. I love models, probabilities, and solving complex impactful problems",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/yubin-hu-berkeley/",
        "x_url": "https://x.com/harveyhucal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae232b0468c1b436f117f7e24ab1254f1f790f83.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 96342,
        "title": "Altrina Automator: Turn demonstrations into reliable browser automations in 5 minutes",
        "tagline": "Don't be a robot. Automate your repetitive work. Early Access available.",
        "body": "# **The Problem:**\n\nEvery automation tool promises the same thing: demo it once, automate it forever. One-click, reliable, non-technical.\n\nNone of them actually work. They either:\n\n* **Are unreliable** - Break when websites change, fail silently, or work inconsistently\n* **Are too complex** - Require literal “online universities” to learn\n* **Are still technical** - Building, debugging, and maintaining automations still requires technical expertise\n\nWe know because we tried them all. Then failed to build it ourselves. Twice.\n\nSo we did something different: spent 9 months as automation consultants, building workflows by hand for real customers across manufacturing, legal, sales, and operations. Not demos. Not slides. Just us using our own platform to build automations that had to work every day and generate real value.\n\nAfter 9 months, we're confident: **it works**.\n\n# **Our Solution:**\n\nAltrina Automator lets you create automations by simply demonstrating them:\n\n1. **Record** - Turn on our Chrome extension and perform your workflow once\n2. **Review** - Check the recorded steps, add specifications in natural language\n3. **Generate** - Click one button to create your automation\n4. **Test** - Test run it and adjust anything\n5. **Schedule / Scale** - Set up triggers (daily, weekly, or custom) OR run thousands of automations in parallel using our spreadsheet interface\n\nEverything is editable in natural language—no code required.\n\n**See it in action: AI Research Newsletter**\n\nBuilding a personalized email digest of AI papers used to take 2-3 weekends to code, debug, and maintain.\n\nWith Altrina? 5 minutes: https://youtu.be/U_nf1tUyFW4\n\n# **Early Access:**\n\nWe're opening early access this holiday season. If you're comfortable installing Chrome extensions in developer mode, sign up here: https://forms.gle/s3gtCmZEoxwqGHmLA\n\nWe're sharing more demos throughout this holiday season and planning a full launch soon—follow along to see what's possible!\n\n![uploaded image](/media/?type=post&id=96342&key=user_uploads/955322/7eeeb6c3-1c5a-430d-acee-63ff366f0576)\n\n",
        "url": "https://www.ycombinator.com/launches/P3u-altrina-automator-turn-demonstrations-into-reliable-browser-automations-in-5-minutes",
        "votes": 14,
        "created_at": "2025-12-22T04:19:02.711Z"
      },
      {
        "id": 93094,
        "title": "Tessa API: State-of-the-Art Browser Agent for Your Vertical AI",
        "tagline": "Latest benchmarks show Tessa leads on success rate by 12%. Try it now!",
        "body": "If you have tried building browser agents into your vertical AI application, you know how tricky they are. The last thing you want is for the agent to “act up” with your browser and do something other than what you asked for. You need web agents that’s **smart, reliable, and accurate**. \n\n**You need the best one out there** and that agent is Tessa, according to the latest benchmarks. \n\n# **State-of-the-Art Results**\n\nFor 8 months running, we have maintained state-of-the-art performance among browser agents. We first achieved SOTA results of 93% success rate on the Web Voyager benchmark in December 2024, before OpenAI's Computer Use Agent and the current wave of browser agents entered the market.\n\nNow, with intense competition and industry attention, our latest benchmarking shows **we are still leading by a significant margin**. \n\n![uploaded image](/media/?type=post&id=93094&key=user_uploads/955322/00e425e5-dbf1-45e9-bd0c-61c18b8fb131)\n\nThe REAL benchmark evaluates web agents in complex, real-world scenarios and is scored on mostly classical, deterministic criteria. The latest results show **Tessa achieves 54.5% success rate**—a 12% lead over Anthropic’s computer use. If you are looking for a browser agent for your vertical AI application, Tessa is your best bet to get the task done. \n\n# **What we offer**\n\n* Simple to get started: just give it a directive\n* Bring Your Own Browser (BYOB) or have Tessa spin it up for you\n* Stealth built-in. The agent’s actions are indistinguishable from humans\n* Choose the best LLM models\n\nWe benchmarked different models’ performance against the cost in the following two graphs for you. We recommend sonnet-4 for most cases but Gemini 2.5 Flash, o3, and Opus 4.1 are all good choices along the price-performance boundary. \n\n![uploaded image](/media/?type=post&id=93094&key=user_uploads/955322/08208ba5-6eb2-463d-b077-cb1852be11a1)\n\n![uploaded image](/media/?type=post&id=93094&key=user_uploads/955322/2551caaf-a1de-4ff5-bcf1-35e4bc3d4e51)\n\n# **How did we beat OpenAI and Anthropic?**\n\nWe pioneered a unique **inference-time scaling architecture for browser agents**, named **RAVE (Reason, Act, Verify, and Evaluate)**, which helped us maintain the lead. _Read our technical deep-dive blog post for the full methodology [here](https://www.heytessa.ai/blog/evolving-our-state-of-the-art-browsing-agent)._ \n\n# **Start Building with Tessa Today**\n\nWe have been using it to build transformative workflows for our clients over the past few months. Now you have access to it too through a simple API. \n\n```\nurl = \"https://api.heytessa.ai/v1/run_browser_agent\"\nheaders = {\"Authorization\": f\"Bearer {YOUR_API_KEY}\"}\n\nresult = requests.post(url, headers=headers, json={\"directive\": \"Go to news.ycombinator.com and get the titles and points of the top 3 stories on the homepage\"}).json()\nprint(result['history_url'])\n```\n\n### **We Support Any Vertical**\n\n**Legal AI**: Research case law across Westlaw, LexisNexis, court databases, or your internal databases to retrieve information. \n\n**Financial Applications**: Aggregate real-time data from trading platforms, regulatory filings, and financial databases.\n\n**Healthcare**: Navigate patient portals, insurance systems, and medical databases with the reliability healthcare workflows demand.\n\n**E-commerce Intelligence**: Monitor competitor pricing, inventory, and product data across hundreds of sites.\n\n**Research Platforms**: Gather information from academic databases, journals, and specialized repositories.\n\n**Try our API today** and see why choose Tessa for production web automation.\n\n[**Get API Access →**](https://docs.heytessa.ai/api-reference/quickstart) |[ **Book a Demo →**](https://calendar.app.google/cEAAJPXsT3ZwCoAA8)",
        "url": "https://www.ycombinator.com/launches/ODW-tessa-api-state-of-the-art-browser-agent-for-your-vertical-ai",
        "votes": 16,
        "created_at": "2025-08-18T15:02:05.137Z"
      },
      {
        "id": 89958,
        "title": "Tessa Workflows: Smarter than no-code; Faster than hiring",
        "tagline": "The easiest way to automate work using natural language",
        "body": "Have you encountered boring, repetitive tasks you have to do for work? Things like:\n\n* Reviewing the same kinds of emails and deciding how to respond\n* Pulling data from different tabs to build reports\n* Monitoring your portfolio or competition every week for updates\n\nIf you ever tried automating them, you’d realize, after hours of attempts, that RPA fails because of the **complex decisions** involved and AI agents are too unstable because of **compounding error** over long horizons. We built Tessa to end this headache for you. \n\n\\# **What We’re Building**
\n\n[app.heytessa.ai](http://app.heytessa.ai) is the easiest way yet to build AI employees.\n\nWe turn your natural language instructions into editable workflow graphs that can run in the browser. It's not a co-pilot or another drag-and-drop builder you have to learn. It's your new teammate: one who never complains and doesn’t get bored.\n\nUse our workflow editor to change every detail, or simply “vibe-create“ the workflow. Watch our latest [demo](https://youtu.be/R85MyAbijlc) here:\n\nHere’s how it works:\n\n* Start with a prompt: “Send me a daily stock report”\n* Tessa builds a full workflow graph expressed in simple natural language\n* You can review, edit, or add nodes just by chatting in our omni-bar, or jump in to tweak the prompts\n\nIt’s like vibe coding for work that **_you don’t want to do._**\n\n# **How Can Tessa Work For You?**\n\nWe’ve built templates that handle workflows like:\n\n* [Sending daily stock summaries](https://youtu.be/PsE-ucpefc4)\n\n  [Stock Monitor Template](https://app.heytessa.ai/public/workflow/498cceef-0f07-47ad-b0a9-3101bd71f380)\n* [Extracting and processing invoices](https://youtu.be/vGin9ctJ9Jg)\n\n  [Invoice Extractor Template](https://app.heytessa.ai/public/workflow/dee4d359-4099-49c0-adc4-ea2937db737c)\n* [Handling a customer support ticket end-to-end](https://youtu.be/Xm5K8cwA1Bs)\n\nTessa can basically do anything an intern can do on a computer. We’re happy to build any custom integrations for you. Tessa carries out workflows from beginning to end, saving companies **_hundreds of hours and thousands of dollars._**\n\n# **Glimpse of the future**\n\nWe’re building AI that learns what you do just by watching you do a screen share. No prompting. No drag-and-drop. No engineering degree required. Just talk and we get it done. It’s going to be a dashboard-less experience where you simply talk to Tessa on a video call, on Slack, via email, or over the phone.\n\n# **Try Tessa Today**\n\nWe are looking for teams that are tired of wasting time and money on repetitive ops and decisions. \n\nIf you want custom integrations or are not sure how to get started\n\n* Book a demo [here](https://calendar.app.google/KTzWA6dV8GQvpm9B8)\n\nIf you can’t wait to use Tessa for yourself\n\n* Try out a template [here](https://app.heytessa.ai/)\n\n**Start delegating to Tessa and save your time and energy now!**\n\n![uploaded image](/media/?type=post&id=89958&key=user_uploads/955322/fcd5deda-f518-4dd1-aaf6-3067a0a221a7)\n\n",
        "url": "https://www.ycombinator.com/launches/NOw-tessa-workflows-smarter-than-no-code-faster-than-hiring",
        "votes": 28,
        "created_at": "2025-04-29T23:13:48.922Z"
      },
      {
        "id": 88085,
        "title": "Tessa - A universal BPO agent that learns and improves like a human 💡",
        "tagline": "Self-improving AI agents to automate backoffice business processes",
        "body": "Hey everyone! We’re Mo and Harvey, co-founders of General Agency! 🚀\n\n**Tl;dr – We’re building Tessa, the world’s first AI coworker that actually learns like a human does.**\n\n[➡️ Try Tessa Today](http://app.heytessa.ai) \n\n<https://youtu.be/P8vrfeEsE64>\n\n**Our Story 📖**\n\nHarvey worked on deep learning models for recommendation systems at TikTok and Google, improving the experience for billions of people worldwide. Mo worked on self-driving cars at NVIDIA for 4.5 years, inventing self-optimizing motion controllers with RL and filing 4 patents in the process.\n\nMuch like a self-driving car, AI agents perceive the world, plan a sequence of actions, and act on that plan. We came together last year to build a state-of-the-art web browsing agent that **achieves 93% on WebVoyager, outperforming OpenAI Operator, Google’s Project Mariner, and all other browsing agents publicly available.** \n\nFor an AI agent to take actions on your behalf, **the bar for accuracy is high**, especially for enterprises. While ordering a pizza to a random location 400 miles away is something to laugh about, hallucinating facts in a consultant’s research report is a _very_ big deal.\n\nAI agents act exactly like human workers who’ve never experienced a particular task: neither get it perfectly right the first time. Humans, however, _learn_ from demonstration, experience, and feedback.\n\nThis learning ability is the missing piece towards human-level AI. We’re building a [novel cognitive architecture](https://www.heytessa.ai/blog/introducing-large-neurosymbolic-cognitive-models) that enables Tessa to not just accomplish tasks like a human, but also learn with experience and natural language feedback. This architecture enables information retrieval that is **guaranteed hallucination-free**.\n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/48e24128-b5e2-48c1-a8bb-115ce310979d)\n\n**Our Product 🧠**\n\nTessa can perform many of the tasks that outsourced teams currently perform. Simply show Tessa how to do a task with a screen recording, send her an email, or hop on a video chat to discuss the project. \n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/abceca01-e36a-4938-a101-2dda56151094)\n\nOver time, Tessa becomes an integral part of your team, learning the intricacies of your workflows and projects, and applying the know-how reliably. Tessa is not yet-another-tool to be used; Tessa is a star employee that grows with you and your company, **acquiring and improving on institutional knowledge with every interaction.**\n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/3e7372e5-667d-4a36-8f05-ba68f1dbaae3)\n\n**The Use Cases ⚡**\n\nCompanies of all sizes, from startups to the Fortune 100 are using us for:\n\n✅ Deep, accurate research for strategy consulting\n\n✅ Trademark search and infringement monitoring\n\n✅ Resolving complex customer support queries\n\n✅ Sales prospecting and research on buyer intent signals\n\n**Our Ask 🙏**\n\nIf you work at a business of any size with:\n\n* Repetitive and menial tasks that eat a chunk out of your time, or\n* An offshore team handling the above\n\nWe’d love to chat! Please email us at [founders@generalagency.ai](mailto:founders@generalagency.ai) or grab some time on our [calendar here](https://calendly.com/harvey-general-agency/tessademo0220)\n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/577e03ba-128f-4183-9ee8-0f07848ec7aa)\n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/e146a047-6787-4231-9ca2-3ab0e93f8d7e)\n\n",
        "url": "https://www.ycombinator.com/launches/Muj-tessa-a-universal-bpo-agent-that-learns-and-improves-like-a-human",
        "votes": 36,
        "created_at": "2025-02-26T23:11:51.107Z"
      }
    ]
  },
  {
    "id": 30223,
    "name": "a0.dev",
    "slug": "a0-dev",
    "former_names": [
      "Aura",
      "Auraful"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eed1f4cfbc94ee7934ad288bea413225964237fe.png",
    "website": "https://a0.dev",
    "all_locations": "San Francisco, CA, USA",
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        "full_name": "Ayomide Omolewa",
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      {
        "id": 91846,
        "title": "a0.dev - Phase 1: We're all gonna make apps (WAGMA)",
        "tagline": "Build mobile apps in minutes using AI.",
        "body": "![uploaded image](/media/?type=post&id=91846&key=user_uploads/1607594/d98552b9-2959-4309-9fbe-f064cf3849f1)\n\nHey YC! 👋 \\\n\\\nWhen we first launched earlier this year, we set out with a bold vision: what if anyone, regardless of technical background, could turn their ideas into real mobile apps in minutes instead of weeks? After seven years of building our own apps, we’ve spent the last five months working tirelessly to supercharge a0 – and now, thanks to that effort, we’re all going to make apps.\n\nhttps://www.youtube.com/watch?v=74ZzymZO7fw\n\n### **So what’s new in Phase 1?**\n\nTo start, we created the world's fastest iOS build process - literally seconds from code to installable app on your phone.\n\nThis lead into One-click App Store submission that handles all the Apple provisioning nightmare for you\n\nWe also shipped lots of improvements to our code-gen like Agent Mode with thinking capabilities that can read files, search context, and solve complex problems.\n\nAnd we built-in payments support to a0.dev so you can start monetizing your apps immediately\n\nYou can read the full breakdown in our [blog post](https://a0.dev/blog/phase-1-wagma).\n\n### Isn’t \\____\\_ already doing this?\n\nWe know AI app builders are a popular idea these days. We were the first to launch an AI mobile app builder and have seen many competitors pop up after us, some even from YC. To us, it’s just more proof that this idea is worth working on. We’re taking a different approach to building a0 that comes from our experience as app developers and we’re confident it will be the correct one.\n\nWe didn't just build another no-code tool. We built an AI-native platform that wraps the entire app development experience from idea -&gt; app store. Our agent builds beautiful UI and even handles the back-end. Combined with instant iOS builds, we're removing every friction point between idea and getting your app on the store.\n\nThe response from our first launch has been incredible - 100k+ developers are shipping apps faster than ever with a0.\n\nOur new mantra is WAGMA: We Are All Gonna Make Apps , because we genuinely believe with a0 everyone has the power to get to the app store.\n\nWelcome to Phase 1.",
        "url": "https://www.ycombinator.com/launches/NtO-a0-dev-phase-1-we-re-all-gonna-make-apps-wagma",
        "votes": 11,
        "created_at": "2025-07-03T18:24:33.801Z"
      },
      {
        "id": 87417,
        "title": "a0.dev: Build Mobile Apps in Minutes",
        "tagline": "Generate, preview, and refine your app—all in one place.",
        "body": "Hey everyone, we’re [Seth](https://x.com/sethsetse) and [Ayo](https://x.com/TheDonAyo) and – co-founders of [a0.dev](http://a0.dev)\n\n**tl;dr**\n\n[a0.dev](http://a0.dev) is the fastest way to build React Native apps.\n\nWe generate the **entire front end** of your app for you—navigation, state management, and UI screens, all set up and ready to go.\n\nNeed to prototype a single screen instead? We also built a Component Generator, like **v0 but for React Native**, so you can quickly create and export screens with clean, production-ready code. Check out a quick demo video👇.\n\n<https://youtu.be/GXVqQHJCCac>\n\n# **The Problem:** _Building Apps is Hard_\n\nLaunching a mobile app is much harder than releasing a website. Setting up your project, coding every screen, managing state, and integrating the backend can take **weeks**.\n\nAnd if you’re building for iOS, you need a Mac to run Xcode, deal with provisioning profiles, and compile your app—just to test it.\n\n[**a0.dev**](http://a0.dev) removes these barriers. We generate your app’s front end in minutes and let you preview it right away—no Mac, no complicated setup, no waiting.\n\n# **Our Solutions:**\n\n**#1 Full App Generator –** Build a complete React Native app\n\n[a0.dev](http://a0.dev) takes care of the entire front end of your mobile app—so you can go from idea to working UI in minutes.\n\n✅ **Instant App Generation** – Describe your app, and we generate a complete React Native project with navigation, state management, and essential UI screens.\n\n✅ **Live Preview & Hosting** – Share your app instantly with anyone, no need for TestFlight or manual builds. We host your app so you can test and iterate faster.\n\n✅ **Remote Development Environment** – Work on your app from anywhere via an SSH-powered cloud IDE, with real-time reload and collaboration.\n\n🚀 **Faster to Market** – We’re proving that high-quality mobile apps can be built in record time. We both shipped fully functional apps to the App Store in **under 24 hours** using [a0.dev](http://a0.dev).\n\n\\\n**Check out our demo** where we made a chess timer app in <10 minutes.\n\n[**https://www.youtube.com/watch?v=G_upRVS63Fk**](https://www.youtube.com/watch?v=G_upRVS63Fk)\\\n\\\n**#2 Component Generator –** Like **v0, but for React Native**\n\nAlready have an app or need to quickly prototype a single screen? Our Component Generator lets you create custom React Native UI screens in seconds.\n\nWhile our focus is on building entire apps, our component generator helps you iterate and test ideas **faster than ever.** Try it out [here](https://a0.dev).\n\n![uploaded image](/media/?type=post&id=87417&key=user_uploads/1607594/35f5044d-d40a-4dba-8fb7-71ef8ffddc7c)\n\n**Our Story & Vision**\n\nWe started as indie app developers, making side income with apps generating up to $14k MRR. But we realized how hard it was for others to do the same. Our goal is to make mobile app development even easier than building websites. We want more people to be able to make a living creating and selling their own software. [a0.dev](http://a0.dev) is the platform we wish we had when we started—and now we’re building it for you.\n\n**Our Ask**\n\n* If you’re a mobile app developer who wants to make a new app or an aspiring app developer looking to enter the scene, contact us and try a0, we’ll help you create and launch your app in < 3 days.\n\n**Get Started**\n\n* Try our Component and Full App Generator at <https://a0.dev>\n* Follow our journey on X: <https://x.com/a0_dev>\n\n_Need to reach the founders?_\n\nEmail: [**founders@a0.dev**](mailto:founders@a0.dev)",
        "url": "https://www.ycombinator.com/launches/Mjx-a0-dev-build-mobile-apps-in-minutes",
        "votes": 142,
        "created_at": "2025-02-04T21:52:45.423Z"
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    "name": "Trava",
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    "long_description": "Trava is building AI agents for global trade compliance. Importers lose billions each year to duty overpayments and filing errors. Trava audits customs entries and automates classification to help importers protect margins and stay compliant at scale.",
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    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/trava.json",
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    "country": "US",
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        "full_name": "Pushkar Lanka",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at Trava. I was previously an Engineering Manager at Plaid, where I ran the Privacy and Risk engineering org. Before that, I was an early engineer on Meta's blockchain team (Libra/Novi).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pushkarlanka/",
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      {
        "id": 95534,
        "title": "Trava - Protect your margin on every import",
        "tagline": "Helping importers recover overpaid duties, protect margin, and classify products accurately while tariffs shift constantly.",
        "body": "# **TL;DR**\n\nTrava helps US importers recover overpaid duties, protect margin, and classify products accurately even as tariff rules change constantly. If you oversee finance or trade compliance, talk to us. We can help you recover up to 10% of duties paid this year.\n\nhttps://youtu.be/6lKXDCIQj8k\n\n# **Problem**\n\nUS importers have paid **over $200B in duties** in 2025, an all-time high. A significant share of that is overpaid, and most of them never realize it.\n\nTwo shifts explain why this is accelerating:\n\n1. **Tariff volatility has exploded.** Duty rates and HTS rules now change constantly. In 2025 alone, there’s been a wave of Section 301 updates, Section 232 expansions, new IEEPA/fentanyl tariffs, reciprocal tariffs, and more. The systems importers rely on were built for a more stable trade environment and can’t keep up.\n2. **“De minimis” rollback is exposing millions of new SKUs to duties.** Brands that never paid duties before now need accurate HTS codes for every SKU, often with no internal expertise, dramatically increasing classification volume and the risk of costly errors.\n\n**The combined effect:** filing errors and misclassifications are more common than ever, leading to margin leakage, missed refunds, and rising audit exposure.\n\nAnd today’s mitigations fall short:\n\n* Large importers hire **expensive consultants** who audit filings only after duties are paid, tying up cash for months and missing most issues because they review only a small sample.\n* Many lean on their **customs brokers**, who are incentivized to clear shipments quickly, not optimize duty burden, find refunds or classify goods. And capacity is shrinking, as the workforce is aging and fewer new brokers enter the field.\n\n**Importers carry the liability but are flying blind — overpaying duties and holding compliance risk they can’t see.**\n\n# **Solution**\n\nTrava gives importers a system that continuously reviews 100% of their customs entries and product catalog for duty and classification accuracy.\n\nImporters see three core benefits:\n\n1. **Recover margin** by surfacing overpaid duties and missed refunds. Once integrated, Trava often prevents the overpayment entirely by catching issues _before_ duties are even paid.\n2. **Reduce exposure** by flagging underpayments and risky classifications _before_ they turn into penalties because of a surprise CBP audit.\n3. **Classify accurately** with a copilot that suggests correct HTS codes on every SKU, critical as rules change constantly and millions of products lose de minimis protection.\n\nAI handles the heavy lifting, and Trava’s trade specialists validate edge cases and final outputs.\n\n# **Team**\n\nPushkar was an engineering manager at Plaid, where he led Privacy & Risk Engineering and built compliance systems that scaled to thousands of customers and millions of consumers. Before that, he was an early engineer on Meta’s crypto/fintech team (Libra/Novi) building digital payments infrastructure.\n\nHe’s seen firsthand how compliance breaks under scale and regulatory volatility, and how automation with human oversight can turn it into an advantage. He’s now bringing that same approach to the world of trade compliance.\n\n# **Our Ask**\n\nMessage [pushkar@usetrava.com](mailto:pushkar@usetrava.com) or visit [**usetrava.com**](http://usetrava.com) to request early access.\n\n1. **Importers:** We’re running a limited number of year-end duty and classification audits. If you oversee the P&L or compliance, we’ll show you exactly how much margin you’re leaving on the table, and help you classify products correctly.\n2. **Customs Brokers / Trade Consultants / Trade Attorneys:** We’re open to partnerships. Use Trava to offer deeper audits and classifications as a service to your importer clients.\n\n**Intros welcome!** If you know CFOs, compliance leaders, or brokers who’d benefit from this, an intro means a lot.\n\n![uploaded image](/media/?type=post&id=95534&key=user_uploads/2380951/fc39120e-71b2-4372-a22f-7dc6cd7afd46)\n\n",
        "url": "https://www.ycombinator.com/launches/Oqs-trava-protect-your-margin-on-every-import",
        "votes": 26,
        "created_at": "2025-11-16T18:11:03.164Z"
      },
      {
        "id": 88327,
        "title": "Vora: AI Recruiter for Hiring Managers",
        "tagline": "Top candidates, booked directly on your calendar.",
        "body": "**TL;DR:** **Vora gives hiring managers an AI recruiter.** Our AI agent identifies, engages, and books meetings with **top talent that actually respond** — so hiring managers don’t have to spend hours sourcing.\n\n👉 **Hiring founding engineers? Let Vora source and book candidates for you. Fill out **[**this form**](https://docs.google.com/forms/d/e/1FAIpQLScpjg68_IlN1c7xfXqEFsMMLLhxc3IYQpvjXNbdRQTFIWdAtg/viewform?usp=header)** for early access.**\n\n---\n\n### **🚨 The Problem**\n\nThe **best candidates aren’t actively looking** — they already have great jobs. But hiring managers **don’t have the time** to find and engage them.\n\n* **Recruiting software has historically failed** because it was built for **recruiters, not hiring managers** — which means more dashboards, more manual work, and little actual hiring.\n* **Existing tools (LinkedIn Recruiter, ATS systems) require too much effort** — hiring managers still have to search, craft outreach, and follow up.\n* **Recruiters and agencies are expensive and misaligned** — they optimize for placements, not long-term success.\n* **Spending on hiring has never been higher** — companies are publicly offering **$15K+ referral bonuses** just to find top AI engineers.\n\n### **⚒️ The Solution**\n\nWe give hiring managers an **AI recruiter** that automates sourcing and outreach. Instead of spending hours manually searching and messaging, hiring managers **assign the task**, and Vora **delivers**:\n\n* **Our sourcing agent** finds top talent (passive candidates who aren’t applying)\n* **Our research agent** crafts deeply researched emails that convert **5x better** than the basic personalization used by other tools today.\n* **Once they’re activated, our agent schedules them directly on the hiring manager’s calendar**\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/39a04812-770c-4ac4-821e-6203bff527c8)\n\n_(Dashboard used by the internal Vora team)_\n\nBut here’s what sets us apart - we **sell the work, not just the software** - hiring managers don’t need to learn a new tool or spend time navigating dashboards. **They just get meetings booked with candidates delivered straight to their calendar.**\n\nHiring managers don’t need to log in to anything - they interact with **Rachel, our AI recruiter, directly in Slack**, just like a coworker.\n\nRachel **keeps hiring managers updated, asks for feedback, and refines searches — all in Slack.**\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/14407af6-d1f7-441a-ba9d-77120a6938b7)\n\n---\n\n### **💡 Our Wedge**\n\nWe help **fast-growing tech startups (Seed to Series B) attract the best engineers and hire faster.** Our early customers include:\n\n* **Early-stage startups** — Founders hiring their **first engineers** without an in-house recruiter.\n* **Scaling teams** — Hiring managers at **Series A/B companies** who need to grow their team quickly.\n* **VC-backed companies** — Startups competing for **top AI and engineering talent** in a competitive market.\n\n### **🚀 We’re already delivering results**\n\n* **Trusted by fast-growing AI startups** in SF & NYC (Seed to Series B)\n* **Multiple startups already running paid pilots**\n* **Hundreds of top candidates sourced & engaged**\n* **Dozens of hiring manager screens booked — directly on their calendars**\n\nHere’s a testimonial from an early customer:\n\n_\"In just two weeks, Vora booked six interviews with engineers we previously couldn’t even reach. It’s like having a world-class recruiter embedded in our team.\"_\\\n**—** Co-Founder/CTO @ AI Startup (backed by YC and General Catalyst)\n\n### **🤝 TEAM**\n\n**Pushkar** was an **engineering & hiring manager at Plaid**, where he experienced firsthand how **delays in hiring can prevent you from hiring the best people**. Previously, he was an early engineer on **Facebook’s crypto team** **(Novi)**.\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/1011e3a6-60d2-42ae-b4c6-48d27cd2b4c0)\n\n---\n\nIf you’re hiring and want top candidates booked directly on your calendar, hit us up at [founders@usevora.ai](mailto:founders@usevora.ai)",
        "url": "https://www.ycombinator.com/launches/Myd-vora-ai-recruiter-for-hiring-managers",
        "votes": 23,
        "created_at": "2025-03-07T17:07:48.578Z"
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    "id": 30226,
    "name": "Elip AI",
    "slug": "elip-ai",
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      "Tejas AI"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/elip-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/elip-ai.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tejasai/",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 992401,
        "full_name": "Gaurav Luhariwala",
        "title": "Founder/CEO",
        "founder_bio": "Born and raised in India. Have previously built and scaled data-driven products for Indian banks and financial institutions -  founded Tejas AI with the mission of making financial services more inclusive worldwide.\n\n\n\n\n\n\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gauravluhariwala/",
        "x_url": "https://x.com/Snorlaxxex",
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    "launches": [
      {
        "id": 88236,
        "title": "Tejas AI – AI-Powered Risk Decisioning for BFSI",
        "tagline": " Banking moves fast. Risk decisioning should too.",
        "body": "> ### **Hey everyone 👋**\n\nI’m [**Gaurav**](https://www.linkedin.com/in/gauravluhariwala/), founder of **Tejas AI**.\n\n### **TL;DR**\n\nWhen banks grant loans, they make decisions based on their complex, proprietary credit rules. These rules are maintained by humans and, given their complexity, even the smallest changes can take up to six months to implement. This lag alone costs banks billions of dollars each year.\n\nAt Tejas AI, we enable banks to harness the power of AI to update their credit rules and other policy documents. Our platform allows banks to update credit rules faster, more frequently, and on a hyper-local level.\n\nhttps://www.youtube.com/watch?v=pMwLWzL_t0M\n\n## **The Team**\n\n* [**Gaurav**](https://www.linkedin.com/in/gauravluhariwala/) **(CEO):** Led Product & Business at Tartan, scaling revenue 8x in a year by building KYC and data solutions for Indian banks. Previously built and sold a D2C conversion product to 30+ brands—while still in college.\n\n---\n\n## **💥 The Problem**\n\nImagine you’re a risk manager leading a 200-person team at a bank, dealing with:\n\n✅ Millions of loan records scattered across fragmented systems\\\n✅ Constant regulatory changes that impact risk policies\\\n✅ Thousands of credit rules requiring manual interpretation\n\nYour team spends weeks—sometimes months—trying to answer:\n\n> Where are the pockets high risk of loan defaults?”\\\n> “Where all should the bank expand next?\n\nAfter all this effort, you get a handful of incomplete recommendations, leaving you guessing instead of making data-driven decisions.\n\n💸 Banks **lose billions** in missed opportunities, defaults, and penalties.\n\n---\n\n## **🚀 The Solution – Tejas AI**\n\nTejas AI is an AI-powered decision automation platform that gives banks full control over AI-driven risk decisioning—enabling faster decisions, smarter risk management, and scalable growth with confidence.\n\n### **🔹 How It Works**\n\n✅ **Data Ingestion & Policy Input**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/4452a7c7-f0f1-4aee-bbf3-16e64e598383)\n\n* Banks upload loan records, risk models, and existing policies.\n* Teams set business goals—whether they want stricter lending criteria or aggressive expansion.\n\n✅ **Real-Time Impact Analysis & Recommendations**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/b9330bb8-7c48-4ad6-b1cb-798c753e4e21)\n\n* AI identifies optimal lending strategies and highlights risk areas—all with full explainability.\n* Teams see the projected impact on key business metrics before making a decision on each of the provided strategy.\n\n✅ **AI-Powered Policy Exploration & Simulation**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/9de730e3-88aa-49d5-94c1-a5bd0d16df5b)\n\n* Teams run \"What-If\" simulations—testing how changes to risk models will impact loan approvals, risk, and profitability.\n* Users input policy queries in plain English, and AI processes them instantly.\n* The system analyzes borrower behavior, risk factors, and trends to generate optimized policies.\n\n✅ **Automated Policy Execution**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/226c1b55-3622-43b5-b6a8-fc4815445f51)\n\n* Once a policy is finalized, Tejas AI converts it into executable code for their BREs (Business Rule Engines)\n* No manual coding, no integration delays—just instant deployment.\n\n✅ **Continuous Learning & Optimization**\n\n* AI learns from loan performance and market trends to improve recommendations.\n* Banks receive ongoing insights and alerts, keeping risk models adaptive and up-to-date.\n\n---\n\n## **Why This Matters**\n\n⚡ **Faster decisions** – from months to minutes\\\n⚡ **Eliminates manual work** – reducing reliance on large risk teams\\\n⚡ **Hyperlocal lending strategies** – AI-driven, explainable, and data-**backed**\\\n⚡ **Instant deployment** – seamless execution with existing banking systems\n\nWe’re bringing AI-powered decisioning to the banking ecosystem—and we’d love to hear your thoughts! 🚀\n\n### **The Ask – Who We Want to Connect With**\n\nWe’re looking to connect with Fintechs, NBFCs, Banks, and Financial Leaders who want to transform risk decisioning with AI.\n\nPlease introduce us to:\n\n* Risk Managers & Credit Teams\n* Financial Institutions\n\nIf this sounds like you—or if you know someone who’d benefit—let’s talk!\n\n---",
        "url": "https://www.ycombinator.com/launches/MxA-tejas-ai-ai-powered-risk-decisioning-for-bfsi",
        "votes": 30,
        "created_at": "2025-03-04T02:58:44.393Z"
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        "full_name": "Ethan Hilton",
        "title": "Founder/CEO",
        "founder_bio": "How elite law firms do intake | Ex-CMU AI",
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      {
        "id": 87869,
        "title": "Caseflood.ai: The AI Support Staff For Law Firms",
        "tagline": "Just like your current support team, but 5X better and 10X cheaper",
        "body": "# **TL;DR**\n\nWhat if a law firm could double its capacity without hiring a single person? [Caseflood.ai](http://Caseflood.ai) has engineered highly effective AI agents to do phone intake, client follow-up, and keep clients updated throughout their case—giving attorneys dozens of hours back per week.\n\nImagine you’re an attorney, and every day, your calendar fills with paid consultations without you even answering the phone, retainers get signed without you manually chasing leads, and all 300 of your clients stay informed about their cases without you writing a single email. That’s Caseflood.\\\n\\\n<https://www.youtube.com/watch?v=hm5tVrT0nX4>\n\n# **👫 The Team**\n\n[**Ethan:**](https://www.linkedin.com/in/ethan-hilton/) Started a legal leads startup at 16, making 5-figure MRR, and learned law firm operations and SMB sales. Went to CMU and studied AI and Business, but couldn’t stop thinking about all the operational inefficiencies in law firms, and eventually dropped out to solve it.\\\n[**Ayushman:**](https://www.linkedin.com/in/ayushman28/) Has been building enterprise AI software for Fortune 100 companies for the past 5 years, was Chief Data Scientist at India’s first unicorn company, and led the fraud detection team for a 30M MAU delivery app. Holds an MS in AI from CMU.\\\n[**Tolen:**](https://www.linkedin.com/in/tolen-schreid/) Cut his teeth in UX when he co-founded a game with 9,000 DAU at age 15, built projects like an accurate astrophysics simulator, and was personally commended by the Indiana Governor at age 17 for his advances in engineering. Went to Purdue and studied computer engineering.\n\n# **❌ The Problem**\n\n**Small firms don’t know how to deal with clients**.\\\n_Or at least, that’s what Ethan saw through visiting \\~80 firms in his previous legal startup._ They couldn’t effectively:\n\n* intake new clients\n* do follow-ups to close clients\n* keep clients updated throughout their cases\n\n**Lawyers are stuck**—if they answer calls, they lose billable hours and time. If they don’t, they lose potential clients.\n\n**Currently**, receptionists, intake specialists, case managers, and personal assistants eliminate those issues, but cost $60k+ per year each and it’s very difficult to find and train good ones (we met one lawyer who went through 3 receptionists in 6 weeks)—and outsourcing is unreliable and still expensive.\n\n**Vicious cycle**: law firms want to spend more on advertising to get more clients, but getting more clients requires a larger support staff, and having a larger support staff means they can’t spend more on advertising. This causes stagnation.\n\n# ✅ **Our Solution: The AI Support Staff For Law Firms**\n\nWe created the all-in-one system that intakes, closes, updates, and manages clients with AI agents that are 5X better and 10X cheaper when benchmarked against humans. It’s like you’re running your law firm, but on easy mode.\n\n**Intake**: Luna, our multilingual AI intake specialist:\n\n* empathetically intakes clients\n* convinces callers to book consultations\n* answers questions\n* forwards callers to the appropriate attorney\n\nHer multimodal features let her take payments, retrieve client data, send information through texts during the call, and simultaneously communicate with other attorneys about what’s happening in her call. She is the most advanced law firm intake system ever created.\n\n**Client communication**: Jess, our client manager:\n\n* interacts with clients via SMS\n* does personalized lead follow-up to get leads to sign a retainer\n* keeps clients updated throughout their case\n* schedules and reschedules meetings\n\nShe does this by integrating into law firm CRMs and case management software. She increases conversion rates with lead follow-up, saves attorneys dozens of hours per week—allowing them to handle more cases—and heavily decreases their operational human costs.\n\n**5X better, 10X cheaper** than human staff—helping law firms reach peak performance.\n\n# **🙏 Our Ask**\n\nKnow a lawyer drowning in calls? Send them this.\\\n(or our website, [Caseflood.ai](http://Caseflood.ai))\n\nAre you a lawyer? We’re already helping law firms across the US streamline their operations—if you run a firm and want **more revenue, less busywork, and happier clients**, [let’s talk](https://cal.com/ethanhilton).\\\n(_use promo code **YCW25** and we’ll waive the $3,000 setup fee)_",
        "url": "https://www.ycombinator.com/launches/MrF-caseflood-ai-the-ai-support-staff-for-law-firms",
        "votes": 185,
        "created_at": "2025-02-20T18:53:49.873Z"
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/102726930",
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        "full_name": "Adam Cohen",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Weave. AI to understand engineering work.",
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        "salary_range": "$150K - $200K",
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        "experience": "1+ years",
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        "title": "Founding Account Executive",
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        "title": "Founding Product Engineer",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 82747,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/weave-3/jobs/d74yywq-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
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        "role_type": "Full stack",
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        "title": "Founding Business Development Representative",
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        "title": "A YC Startup That Wants to Kill Tokenmaxxing Just Raised $13.5 Million - Business Insider",
        "url": "https://www.businessinsider.com/weave-funding-tokenmaxxing-startup-y-combinator-ai-coding-spend-developers-2026-7",
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        "title": "Weave: AI to quantify engineering work",
        "tagline": "Engineering metrics for the AI era",
        "body": "tl;dr: Weave uses AI to measure software engineering work in the AI era.\n\nIt shows how much work is being done, how much is done by AI and where you can utilize AI tools to improve your engineering process.\n\n### **The Problem**\n\nHistorically, it’s been impossible to measure engineering so leaders are left flying blind. Engineering teams rely on gut feel or shoddy metrics to try to get a handle on what’s going on and where to improve.\n\nThat's why we built Weave.\n\n### The Solution\n\nhttps://youtu.be/GkZv9-YZTKI\n\nWeave uses AI to measure engineering work. We run LLMs and our own models on every PR and review, analyzing both output and quality. We integrate with all AI coding tools (Claude, Cursor, etc.) and have PR level code attribution to determine what was written by AI, what wasn’t, and what should’ve been.\n\nWe summarize this data and insights in dashboards. Teams like Reducto, Superpower and Laurel use Weave to ship 16% more, just 2 months after using Weave.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/966b7f89-b6a1-4aa7-8fbc-4b6cd7bf4fb1)\n\n\n### AI Usage\n\nWe show you who your top AI performers are (so they can share best practices), how the team stacks up against its competitors and the real financial return of your AI investments.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/57dfeddd-0c9f-49c1-afea-0454bad3f0ab)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/56c25bbf-a333-4bea-9938-93e639687d12)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/c2672d3e-b073-45d1-95d8-41578f1a829d)\n\n### AI Insights\n\nWe keep you up to date with the best practices and tools used by the most forward-thinking AI teams.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/d438efd0-4a9b-41a2-a4ae-1d506e800595)\n\n### Measuring Code Output\n\nThis isn't a line of code calculator, this is an actual estimate of our key metric, a Weave Hour: \"How long would it take an experienced engineer to make this change?\"\n\nWe can also tell you how much time each engineer is spending on code review and how helpful their reviews are:\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/581a3928-2eb3-4e98-a0d4-e8ae64c6cd15)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/ede5f44c-ca77-4d4c-ab23-12d7c3c6df7f)\n\n### Individual\n\nSee output across individuals to identify top performers, see how new hires are ramping and if anyone is blocked.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/65664616-047f-4ce7-829c-b40839f34d09)\n\n### **Our Story**\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/2077133/d1883e57-85cd-4616-a456-3370a1a0b664)\n\nAdam’s background is in operations and sales. He led organizations of 100+ people and created an internal tool to measure performance and help individuals identify their weak spots. This is common practice in revenue teams and he wants to bring it to engineering.\n\nAndrew was employee #1 at Causal. He saw firsthand how subjective engineering management is and how hard it is to scale a high-performing engineering team.\n\nWe met at Causal, where Adam was hired to run the sales and customer success function. We got to talking about the big difference between how our two departments worked, and the rest is history.\n\n**Early Use Cases**\n\n* Reducto, Superpower, and Posthog have used Weave to see increases in output correlated with AI usage (16% on average)\n* A manager noticed that code review quality has the highest correlation to output. He reset code review standards and team output went up by 15%\n* Smaller engineering teams (\\~5 engineers) are using the platform daily in stand-ups\n\n**Our Ask**\n\n* Are you running an engineering team of any size? You can connect your repo to Weave and get started in \\~30 seconds [**here**](https://workweave.dev/).\n* Do you know any engineering leaders at mid-market or enterprise companies who might find this valuable? We'd love an intro if you do.\n* Follow us on [**LinkedIn**](https://www.linkedin.com/company/weave-dev) and X!",
        "url": "https://www.ycombinator.com/launches/Mjm-weave-ai-to-quantify-engineering-work",
        "votes": 35,
        "created_at": "2025-02-04T17:25:21.748Z"
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    "name": "Ladder",
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    "website": "https://ladderai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ladder is an AI personal assistant for in-home sales. It takes notes on the in-person conversation and helps reps close more deals, improve with each pitch, and deliver and generate more leads.",
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        "full_name": "David Tondreau",
        "title": "Founder/CEO",
        "founder_bio": "David is the co-founder and CEO of Maive.\n\nHe started his career as a manufacturing engineer at Rolls-Royce where he once uncovered quality issues due to missing paperwork that stopped production for a week. After obtaining a Masters in Engineering from UC Berkeley, David spent five years at Dexterity AI, a unicorn robotics startup. He began as a software engineer and ended as a senior manager leading product engineering.\n\nDavid holds 15 patents spanning robotics and aerospace engineering.",
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        "full_name": "Will Cray",
        "title": "Founder/President",
        "founder_bio": "Will is the co-founder and President of Ladder.\n\nPreviously, Will was the Machine Learning and Computer Vision tech lead at Dexterity, a unicorn robotics company. Before Dexterity, Will founded his own computer vision and machine learning startup while pursuing a Master’s in Machine Learning at UT Austin. He started his career at Intel as a software engineer on their autonomous driving platform.\n\nAt 13, Will founded a business repairing broken Xbox 360’s and selling them on eBay.",
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        "body": "Hey everyone! We're Will and David, co-founders of Ladder.\n\n**TL;DR:** Ladder is the first AI personal assistant for in-home sales reps. It works for reps instead of monitoring them.\n\n**The problem**\\\nHome services companies leave millions on the table every year because their reps are on their own in the field. No one is there to listen and help them improve. Most sales AI feels like Big Brother, so reps don't use it.\n\n**The solution**\\\nLadder works for reps. Reps love it because it helps them:\n\n* Earn more commission.\n* Handle busy work.\n* Generate more referrals.\n\nWe price based on outcomes, so we only get paid when reps use ladder to sell a project. \n\nLeading home services companies already trust Ladder across more than $100M in jobs.\n\n**Our ask**\\\nDo you know someone who runs sales at a home services company? We'd love an intro. Get in touch at [hey@ladderai.com](mailto:hey@ladderai.com).\n\n![uploaded image](/media/?type=post&id=119329&key=user_uploads/833145/05e6249a-fa16-4e0d-996a-0befe44fea04)\n\n",
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    "website": "https://www.salespatriot.com/",
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    "long_description": "SalesPatriot deploys supply chain superintelligence into distribution, original equipment manufacturing, and procurement. By embedding AI in the teams that run quote to cash workflows, we turn email chains, ERPs, websites, spreadsheets, and portals into a unified transactional layer, so critical parts reach the production line faster.\r\n\r\nThe West’s advantage depends on supply chains that work. We build and deploy the software that makes them work.",
    "one_liner": "Supply chain superintelligence for distribution and procurement",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1741557589,
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    "batch": "Winter 2025",
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    "year_founded": 2024,
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    "country": "US",
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        "full_name": "Nelson Ray",
        "title": "Founder/CEO",
        "founder_bio": "Helping manufacturers win DoD RFQ solicitations. Full-stack & Sales",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nelson-ray/",
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      {
        "user_id": 2376143,
        "full_name": "Ben Rhodes-Kropf",
        "title": "Founder/CTO",
        "founder_bio": "Ben, Co-Founder & CTO, started programming at the age of nine. Before starting SalesPatriot, he researched quantization techniques of LLMs at MIT’s Han Lab, and started his first company Trace. He also applied his AI skills to synthetic data research he pursued in collaboration with DARPA. Ben's grandfather and great grandfather were both Air Force pilots. He hopes to uphold their legacy by helping today’s defense efforts through SalesPatriot.",
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        "linkedin_url": "https://www.linkedin.com/in/ben-rhodes-kropf-26b617217/",
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        "full_name": "Maciej Szymczyk",
        "title": "Founder",
        "founder_bio": "Maciej grew up in Poland, graduating with a maximum score (45/45) in the International Baccalaureate Diploma Program. He then came to Berkeley on a full scholarship from Rafal Brzoska Foundation to study Electrical Engineering & Computer Science, Business Administration, and Mathematics through the Management, Entrepreneurship, & Technology program.\n\nBefore college, he did ML research at the Human Brain Project and worked on InPost's Data & AI algorithms.",
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        "linkedin_url": "https://www.linkedin.com/in/maciej-szymczyk-74392b1b8",
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        "title": "Senior Software Engineer (Warsaw)",
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        "title": "Full Stack Engineer (San Francisco)",
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        "location": "San Francisco, CA, US",
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        "experience": "3+ years",
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        "location": "San Francisco, CA, US",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/salespatriot/jobs/pUPuVf2-business-development-representative",
        "location": "Hybrid",
        "type": "Full-time",
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        "salary_range": "$80K - $250K",
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        "experience": "1+ years",
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        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/salespatriot/jobs/yYqGTGD-account-executive",
        "location": "San Francisco, CA, US / Remote (US)",
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      },
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        "title": "Lead Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/salespatriot/jobs/2QEhkK1-lead-forward-deployed-engineer",
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        "type": "Full-time",
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        "title": "Software Engineer (Warsaw)",
        "url": "https://www.ycombinator.com/companies/salespatriot/jobs/dk1kZCc-software-engineer-warsaw",
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        "title": "Engineering Lead (Warsaw)",
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    "id": 30231,
    "name": "Paragon",
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    "website": "https://www.runparagon.com",
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        "full_name": "Ishir Vaidyanath",
        "title": "Founder/CTO",
        "founder_bio": "Building AI for the heart of America",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ishirv",
        "x_url": "https://x.com/aceshir",
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        "user_id": 956884,
        "full_name": "Kasyap Chakra",
        "title": "Founder",
        "founder_bio": "Building Paragon to bring modern AI to the most important businesses in America.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kasyap-chakravadhanula-357b41132",
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    "jobs": [
      {
        "id": 94139,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/deployparagon/jobs/MqAO0SV-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$50K - $200K",
        "equity_range": "0.10% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 94163,
        "title": "Founding Sales",
        "url": "https://www.ycombinator.com/companies/deployparagon/jobs/AmShWrt-founding-sales",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$50K - $200K",
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    "launches": [
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        "title": "Paragon - Free money for distributors and manufacturers",
        "tagline": "The AI Growth Engine for Industrials",
        "body": "### **TL;DR**\n\nDistributors and high volume manufacturers are ignoring money:\n\n* Thousands of existing smaller customers get 0 follow-up or outreach from reps\n* Inside sales reps are doing data entry instead of engaging with customers\n  * Since they’re so backlogged, they often take a long time to respond to quotes, which drags down win-rate\n\nWhy? Humans can’t be everywhere at once, and justifiably only focus on the biggest few accounts.\n\nWe fix these problems. Customers use us to process hundreds of thousands of quotes and sales orders, as well as automatically nurture smaller accounts.\n\nBook a demo here:\n\nhttps://deployparagon.com/book-demo\n\nOur launch video: \\\nhttps://youtu.be/JbbfPPht02o\n\n### **The problem**\n\nHigh-volume distributors and manufacturers are leaving money on the table every single day:\n\n* Product quotes are sent out, but never followed up on\n* Great customers churn without a single conversation\n* High-value customers buy a fraction of what they could be purchasing if nurtured\n* and many more…\n\nWhy?\\\nInside sales people who do these for larger accounts are backlogged by manual order entry and quoting work. And the smaller accounts? There’s just too many. Thousands.\n\n**Paragon solves this.**\n\nHere’s how:\n\n**Paragon Forge (AI Revenue Engine):** Our AI figures out exactly who to reach and what to say, using your ERP data and your brand’s own voice. It takes care of proactive customer engagement, growing revenue on autopilot while your reps focus on the biggest accounts.\n\n**Paragon Surge (Quoting/Order Entry):** An easy-to-use Outlook add-in grabs RFQ and PO information directly from emails, spreadsheets, PDFs—whatever your customers send. Your reps simply review and submit without ever leaving their inbox.\n\nIn just weeks, customers see clear measurable results:\n\n* 5 hours more each day spent with customers\n* 90%+ reduction in quote response time.\n* Zero missed follow-ups on quotes\n* Higher re-order rates via personalized outreach re-engaging dormant customers\n* Higher retention rates via early alerts and outreach for churning accounts.\n* Revenue growth via a consistent rhythm of quality outbound messaging\n\n**Ready to stop leaving money on the table?** \\\n**Let’s connect:** https://deployparagon.com/book-demo",
        "url": "https://www.ycombinator.com/launches/Nxj-paragon-free-money-for-distributors-and-manufacturers",
        "votes": 118,
        "created_at": "2025-07-14T13:49:04.488Z"
      },
      {
        "id": 90296,
        "title": "Sift Flow: The World's Most Robust Conversational AI Support Agent",
        "tagline": "Don’t compromise on customer experience",
        "body": "Hey everyone, we're Ishir and Kaushik, the founders of Sift.\n\nWe initially built a root-cause analysis tool using log data but quickly realized customer interactions were essential for understanding anomalies. So, we created a system to analyze and evaluate every customer support interaction: human or AI.\n\n### ❌ The Problem\n\n_Most companies struggle to pinpoint gaps in their customer support.._\n\nCurrent solutions typically require heavy engineering investment, manual oversight, and still miss critical customer friction points. And attempts to automate frequently produce costly mistakes.\n\n### ✅ The Solution\n\nSift Flow is state-of-the-art conversational AI for customer support and anomaly detection. Our system evaluates every support interaction across all channels, precisely measuring customer frustration, churn risks, and compliance issues. We've developed the industry's most robust AI stress-testing suite, rigorously evaluating agents against adversarial prompts, policy fuzzing, and complex edge cases—ensuring over 99% accuracy before deployment.\n\nSift Flow is seamless to implement, with our white-glove service requiring minimal engineering effort. We handle the ingestion, analysis, and automation end-to-end, delivering immediate value without burdening your technical staff.\n\n![uploaded image](/media/?type=post&id=90296&key=user_uploads/1522101/3bcf694f-f266-4cf5-8951-ddfa1eb1a4bc)\n\n### 🧩 Team\n\nOur founding team brings deep machine learning and infrastructure experience from IMC Trading, DataDog, Splunk, and the University of Pennsylvania.\n\n### 🙋 Our Ask\n\nSift Flow is already trusted by leading software companies integrating customer support with real-time log analysis, and we're rapidly expanding into financial services, manufacturing, and other industries.",
        "url": "https://www.ycombinator.com/launches/NUO-sift-flow-the-world-s-most-robust-conversational-ai-support-agent",
        "votes": 15,
        "created_at": "2025-05-12T16:01:43.891Z"
      },
      {
        "id": 88040,
        "title": "Sift: The Anti-Logging Platform",
        "tagline": "Sift is the AI-driven engine transforming chaotic streams of observability data into valuable intelligence. Transform chaos into clarity. Leave the logs behind.",
        "body": "**Sift** transforms your logs from overwhelming chaos to clear, powerful insights. Our platform profiles, analyzes, and routes your logging data, intelligently eliminating noise and highlighting critical data. Continuously learning and adapting, Sift evolves with your data to keep you ahead of every challenge.\n\n<https://youtu.be/wwV51eEy59s>\n\n## **How We Got Here**\n\nWhile seeing band aid logging products launched at both Datadog and Splunk, we witnessed firsthand how traditional logging tools overwhelm developers with data—burying critical insights under mountains of noise. Teams waste countless hours sifting through logs, missing the signals that matter most. Meanwhile, costs escalate as volumes grow, and early decisions limit vendor flexibility. We realized the problem wasn't just about collecting logs but in really understanding them.\n\nFrustrated by these limitations, our mission for Sift became clear: create an anti-logging platform that gives developers control over their data while unlocking its true potential.\n\n## **Sift through your data, intelligently**\n\n<https://youtu.be/uQ-TTdiu3fc>\n\nSift is designed to flip the script on traditional logging. We’re not here to simply collect logs; we’re here to transform them into actionable intelligence that empowers developers and drives smarter decision-making.\n\n1. **Profile, analyze, and continuously optimize** your logging data to find meaningful patterns without digging through mountains of information.\n2. **Send your logs** exactly where they need to go, integrating right into your existing tooling\n3. **Format and manage** your log volume precisely to focus on the information that matters most.\n\n## **How Sift Works**\n\n**Quick Setup:** Launch Sift with minimal configuration—start sending data in minutes.\n\n**Seamless Integration:** Connect effortlessly with your existing logging infrastructure, with support for over 40 different integrations\n\n**Dynamic Adaptation:** Our system continuously learns from your logs, optimizing rules and suggesting smart routing—like sending low-value logs to cost-effective storage solutions.\n\n## **Reach out to the team**\n\n[founders@runsift.com](mailto:founders@trysift.dev)\n\n![uploaded image](/media/?type=post&id=88040&key=user_uploads/1036135/00bd588b-9f2c-4252-988b-b6530123283f)\n\nIshir (CEO): ex-Splunk engineering, ex-IMC Trading, ex-Penn M&T\n\nKaushik (CTO): ex-Datadog PM, ex-EY Parthenon, previous founder & hackathon addict, 2x early engineer, ex-Penn M&T",
        "url": "https://www.ycombinator.com/launches/Mu0-sift-the-anti-logging-platform",
        "votes": 464,
        "created_at": "2025-02-25T22:49:34.958Z"
      }
    ]
  },
  {
    "id": 30232,
    "name": "careCycle",
    "slug": "carecycle",
    "former_names": [
      "Nodable Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d55690f14f3865aa94fd0c4bd6493abb750af90.png",
    "website": "https://www.careCycle.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "careCycle is an AI workforce for medicare agencies and FMOs - helping leading agencies achieve 5x higher conversions, 37% better retention, and saving thousands of agent hours.\r\n\r\nWe're transforming how Medicare agencies handle member relationships with teams of voice AI agents. We're solving the industry's biggest challenge: 50% annual member churn caused by poor post-enrollment engagement.\r\n\r\nOur multi-agent AI teams work together to handle the entire customer journey - from initial contact through enrollment and ongoing care. When a lead comes in after hours, one AI agent answers and schedules a callback, another calls at the perfect time, a third captures qualifying information, and a fourth handles the warm transfer to a licensed agent. This approach helped a leading FMO write over $2M in renewals during AEP 2024 while reducing agent talk time by 20% per sale.\r\n\r\nWe've pioneered a purpose-built solution for Medicare's unique compliance requirements. Unlike generic AI platforms, our system features built-in HIPAA/CMS compliance, real-time data structuring, and seamless CRM integration. This enables agencies of all sizes to deliver enterprise-grade member care without massive infrastructure investments.\r\n\r\nEarly metrics show the power of our approach:\r\n\r\n- 5x increase in after-hours conversion rates\r\n- 37% improvement in 90-day retention\r\n- 3,000+ agent hours saved in a single AEP\r\n- $2M+ in additional renewals during AEP 2024\r\n\r\nThe Medicare Advantage market represents a massive opportunity, with over $360B in annual premiums and growing 10% year over year. By solving the member retention challenge, we're positioning ourselves to capture significant value by transforming the member care experience for beneficiaries.",
    "one_liner": "Voice AI teams for medicare agencies.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1740261060,
    "tags": [
      "Health Insurance",
      "Telecommunications",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/carecycle",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/carecycle.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/carecycle-yc-w25",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/care-cycle",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d55690f14f3865aa94fd0c4bd6493abb750af90.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 2032692,
        "full_name": "Alex Doonanco",
        "title": "Founder/CEO",
        "founder_bio": "Building careCycle, voice AI teams for medicare agencies. Previously grew horizontal voice AI company from $0-$1M ARR in 6 months.\n\nEvery great discovery starts with the search for a better explanation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexdoonanco",
        "x_url": "https://x.com/AlexDoonanco",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bd0f912ae5c6d054416a6c05311ccebf3d5eddad.jpg"
      },
      {
        "user_id": 458762,
        "full_name": "Evan Roubekas",
        "title": "Founder/CTO",
        "founder_bio": "Software Engineering graduate from UVic, specializing in AI orchestration to optimize Medicare customer experiences through coordinated automated touchpoints.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evanroubekas/",
        "x_url": "https://twitter.com/0xevangelos",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ada66005da01c2fb1a632513ba1438d9e5852c32.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 88449,
        "title": "careCycle: Voice AI teams for Medicare Agencies",
        "tagline": "Providing personalized member care to 33M+ seniors on medicare advantage & supplement plans",
        "body": "**TL;DR** careCycle provides AI voice teams that handle the entire Medicare member journey, helping agencies greet members by first name 24/7, and provide a space to feel heard.\n\nIn the process, we’re tackling the industry’s single biggest problem: churn. Our early customers are achieving 37% better retention while saving thousands of agent hours.\n\n![uploaded image](/media/?type=post&id=88449&key=user_uploads/2032692/c5b3b836-cf5f-41da-ab78-e560a6cb9949)\n\n<https://www.youtube.com/watch?v=ZZ-LbisGYpw>\n\n## Medicare Agencies are **Bleeding**, and Seniors are Left in the Dark.\n\nMedicare agencies face a devastating 50% annual member churn rate due to poor post-enrollment engagement. Licensed agents are forced to chase new sales instead of nurturing existing relationships, creating a vicious cycle that hurts both agencies and seniors.\n\nIt’s so bad that agencies we’ve spoken with actually **_lost money_** after selling thousands of policies in Q4 2024.\n\n## The Solution: Autonomous Member Care Teams that Make Seniors Feel Heard.\n\nWe've built multi-agent AI teams that work together across the full customer journey:\n\n**Pre-Screening:**\n\nBecause of increasingly aggressive marketing angles used to generate inbound calls, agencies drop hundred or thousands of inbound calls each day.\n\nOn top of this, agents spend previous time speaking with beneficiaries who might not be eligible or interested in their plan, who are at risk of being sold something they will cancel anyway.\n\ncareCycle takes calls 24/7, pre-screening callers, and seamlessly warm transferring to available licensed agents to assist them. If nobody’s available, we simply schedule an appointment that another AI team member automatically fulfills.\n\n**Post-Enrollment:**\n\nOur AI teams play a critical roll in keeping customers up to date on their policy application; something a shocking number of agencies don't have time to do.\n\nIn the process, we'll provide them a space to feel heard and get any questions about their new plan answered.\n\nAfter verifying the answer with a human-in-the-loop system, we deliver the message through another personalized and HIPAA complaint touchpoint.\n\n## Early Results\n\nSince launching in Q4 2024, careCycle has:\n\n* Helped a leading FMO write over $2M in renewals\n* Talked with 50,000+ medicare beneficiaries\n* Saved 4,000+ agent hours\n* Achieved 5x increase in after-hours conversion rates\n* Improved 90-day retention by 37%\n\n## Why Now?\n\nBefore founding careCycle, I led GTM at AI Rudder, a leading horizontal voice AI company.\n\nI saw firsthand how generic AI solutions failed in highly regulated industries like Medicare. agencies need purpose-built solutions that maintain strict compliance while delivering exceptional customer experiences.\n\n_Beyond expanding bandwidth for agencies, this technology allows us to **invent new touch points** previously unimaginable._\n\n## Our Ask\n\nIf you know any:\n\n* Medicare agency owners or executives\n* FMOs looking to provide better tooling for their agents\n* Healthcare compliance officers exploring AI solutions\n* Insurance industry professionals interested in contact center automation\n\nPlease reach out at [alex@carecycle.ai](mailto:alex@carecycle.ai) or book time [here](https://calendly.com/carecycle/30min).",
        "url": "https://www.ycombinator.com/launches/N0b-carecycle-voice-ai-teams-for-medicare-agencies",
        "votes": 26,
        "created_at": "2025-03-11T00:48:01.554Z"
      }
    ]
  },
  {
    "id": 30234,
    "name": "Adam",
    "slug": "adam",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfc860ae54b7e3a7f3fdaf19550aa06087041ede.png",
    "website": "https://adam.new/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Applied AI lab building end-to-end agents for mechanical design.",
    "one_liner": "AI Powered CAD",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1737056992,
    "tags": [
      "Hardware",
      "Design",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/adam",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/adam.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/adamcad/",
    "x_url": "https://x.com/adamdotnew",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/Adam-CAD",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfc860ae54b7e3a7f3fdaf19550aa06087041ede.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1626462,
        "full_name": "Zach Dive",
        "title": "Founder/CEO",
        "founder_bio": "You can just make things. Previously AI Research & Engineering @Adept and Design @Berkeley. \n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/zacharydive",
        "x_url": "https://x.com/zachdive",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/903f1eaa387d6bf875a1e88928ba664f98623c40.jpg"
      },
      {
        "user_id": 1806102,
        "full_name": "Aaron Li",
        "title": "Founder",
        "founder_bio": "CPO & Co-Founder @Adam. Shipped designs to millions of people @VIVO | Previously @BMW, NIO, and Design @Berkeley. \n\nBuilding the future of CAD and manufacturing.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaronlico/",
        "x_url": "https://x.com/aaronhetengli",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/09cc03343ab252b20f3cf1ca5a78368c6275cd2b.jpg"
      }
    ],
    "jobs": [
      {
        "id": 76418,
        "title": "Residency (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/adam/jobs/VOGhQkx-residency-summer-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$6.7K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80511,
        "title": "MTS - Founding Research Engineer",
        "url": "https://www.ycombinator.com/companies/adam/jobs/olALosA-mts-founding-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $300K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "Torch/PyTorch",
          "Machine Learning",
          "Deep Learning",
          "Evals"
        ]
      },
      {
        "id": 80561,
        "title": "MTS - Founding Engineer",
        "url": "https://www.ycombinator.com/companies/adam/jobs/q6td4uk-mts-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $300K",
        "equity_range": "1.00% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "React",
          "TypeScript",
          "SQL",
          "Software Architecture",
          "Next.js"
        ]
      },
      {
        "id": 106707,
        "title": "MTS - Forward Deployed Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/adam/jobs/cZ7rfHL-mts-forward-deployed-mechanical-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 87143,
        "title": "Adam - AI Co-Pilot for CAD ⚙️⚙",
        "tagline": "Adam helps engineers 10x their CAD workflows with simple AI prompts",
        "body": "Hey YC! 👋\\\n\\\nWe're [Aaron](https://x.com/aaronhetengli), [Avi](https://x.com/avimakesrobots) and [Zach](https://x.com/zachdive) from Adam and we are building AI Powered CAD for mechanical design. Our first launch is our Text to CAD editor. Some of our early users have called it the **Vercel V0 for CAD**. You simply put a prompt in on our web-app and we generate a parametric CAD file for you. Check out our fun promo vid 👇.\\\n\\\nhttps://youtu.be/Pw6KGqgygqw\n\n**TL;DR:**\n\n* 🔧 Use our **Text-to-CAD** model to accelerate your mechanical design workflows\n* 🪛 Adjust the **Parametric CAD** with our dynamically generated sliders\n* 🛠 Export and **ready to 3D print in seconds**\n\n### **Problem**\n\n**Slow**\\\nLegacy CAD software is weighed down by antiquated UX and outdated geometry rendering from the early 90s.\n\n**Repetitive** \\\nMechanical engineers and design professionals spend hours everyday restarting projects due to rigid workflows. The current tools are clunky and slow to iterate in meaning the iteration process is greatly slowed down.\n\n**Demands significant expertise**\\\nThe complexity of CAD tools hinders rapid prototyping and wider adoption.\n\n### \n\n### **Solution**\n\nDesign professionals spend hours every week converting ideas into CAD design and its complexity often creates barriers for both professionals and newcomers. The Adam web-app provides a frictionless experience to start rapidly prototyping and shipping out great ideas.\n\n**We support two different modes of interaction**\n\n_1. Conversational design through chat_\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/6c4b0839-2b67-4e55-b857-ae6e11f20703)\n\n_2. Parametric edits through sliders_\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/e97bde5c-d49a-4be9-b1b0-4e0fc329a5fa)\n\n### **One more thing..**\n\nWe are building an Adam Co-Pilot that integrates seamlessly within professional-grade CAD workflows. Think of this as the **Cursor for CAD.** It takes in the context of your CAD environment and is able to make directed edits for you. Check out an early prototype (more on this to come…)!\\\n\\\nhttps://www.loom.com/share/7c945465a21e4fb7abfd557299be4925\n\n### **We are on a mission to remove the friction between engineering and reality so more great ideas come into existence.**\n\n👉 If you resonate, please reach out to us here: [founders@adamcad.com](mailto:founders@adamcad.com)\n\n&lt;3\\\nCheck out our website: [www.adamcad.com](https://www.adamcad.com/)\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/d50e9f22-e38f-4a6d-b0b7-eea7dedcba0a)\n\n",
        "url": "https://www.ycombinator.com/launches/MfX-adam-ai-co-pilot-for-cad",
        "votes": 212,
        "created_at": "2025-01-24T18:32:15.271Z"
      }
    ]
  },
  {
    "id": 30236,
    "name": "Tergle",
    "slug": "tergle",
    "former_names": [
      "Esse AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/441b34e3b91d1925fe09d25d993360b31f740df4.png",
    "website": "https://tergle.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Tergle builds AI to replace Auditors. ",
    "one_liner": "AI Agents for Audit",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1740611994,
    "tags": [
      "Generative AI",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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        "body": "**TL;DR**\\\n**Tergle builds AI agents for auditing.** While auditors today rely on manual data manipulation & verification, Tergle can analyze pages of data and find discrepancies in seconds.\\\n\\\n<https://youtu.be/WkBEV2m7waQ>\n\n### **⛔️The Problem**\n\nWith Adam’s father working as an internal auditor, we know first-hand that innovation in auditing stalled twenty years ago. \n\nEven the big-4, with combined audit revenue of $70bn, still:\n\n* **Rely on outsourcing simple document processing** to offshore workers or overpaid interns.\n* Have **almost no AI tools deployed** at the auditor level.\n* Waste **billions of dollars on replaceable manpower**\n\n### **🕊️The Solution**\n\nWe build custom AI agents for **both internal and external auditors** to automate their repetitive auditing practices. We are already **working with multiple billion-dollar companies** to speed up their workflows.\n\nTergle’s agents are:\n\n* **Instantly deployable 📈** - integrates smoothly into all existing tools\n* **Customizable 🛠️** - with specific workflow training and human-in-the-loop capabilities\n* **Reliable ⏱️** - guaranteed efficiency improvements as part of our implementation\n\n### **👷🏻Who are we?**\n\nWilliam and Adam met in school in England and have been best friends since they were **11 years old**.\\\n\\\nAt 16, together they built an EdTech non-profit and scaled it across the UK to **500+ partnered schools**. Tergle is their second startup together.\n\n![uploaded image](/media/?type=post&id=88097&key=user_uploads/89898/f9e26c27-eab3-4e1f-bc1e-344eadb25340)\n\n### **Our Ask**\n\nAre you wanting to put your **auditing** on **autopilot**? Let’s chat:\\\n\\\n📩 Email us at [founders@tergle.com](mailto:founders@tergle.com)\\\n\\\n💻 Schedule a demo [here](https://cal.com/abowen/tergle)",
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    "long_description": "Cardamon is an AI powered platform that ingests relevant regulation, understands what applies to each regulated financial firm, and gets compliance officers from regulation, to obligations, to product requirements in minutes - not weeks.\r\n\r\nFinancial firms face a host of complex regulations that make it incredibly painful to launch and maintain products in a compliant way. As a Product team at Revolut, we felt this pain deeply ourselves - we had products ready to launch but stuck in compliance limbo, often for weeks. Turns out, getting compliant took as long as building the product itself. \r\n\r\nFrustrated, we dug in and were shocked by how manual and inefficient the processes were. That’s when it clicked: there’s a huge opportunity to automate the boring stuff (and solve our own problem!). Compliance teams win because they ditch the tedious tasks. Product teams win because they ship faster. Everyone’s happy.",
    "one_liner": "AI compliance co-pilot for regulated financial businesses",
    "team_size": 11,
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        "full_name": "Dmytro Astakhov",
        "title": "Founder/CTO",
        "founder_bio": "Formerly Senior Software Engineer at Revolut leading development of ETFs and EU stocks to millions of customers. ",
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      {
        "id": 87846,
        "title": "Cardamon: Launch regulated products 10X faster by automating regulatory compliance with AI",
        "tagline": "AI powered regulatory mapping platform - getting you from regulation to product requirements in minutes",
        "body": "# **TL;DR**\n\n[Cardamon](https://cardamon.ai/) enables regulated financial firms to launch products, enter new markets and stay compliant 10X faster by automating regulatory mapping with AI. We cut the manual and repetitive tasks of sifting through 1000s of pages of regulation and analysing each passage - saving 100s of hours for regulated businesses. Check it out [here](https://youtu.be/EpE27zi-6JI).\n\n**Ask:** If you’re spending time & money trying to figure out what regulations apply, send us a message at [hello@cardamon.ai](mailto:hello@cardamon.ai) - we are already helping several firms cut 100s of hours from regulatory mapping work, enabling them to launch products faster\n\n# **The Problem ❌**\n\nFinancial firms face a host of complex regulations that make it incredibly painful to launch and maintain products in a compliant way. As a Product team at Revolut, we felt this pain deeply ourselves - we had products ready to launch but were stuck in compliance limbo, often for weeks. Turns out, getting compliant took as long as building the product itself.\n\nFrustrated, we dug in and were shocked by how manual and inefficient the processes were. Compliance teams would have to sift through 1000s of pages of different regulations, which they would need to understand, review and transpose into product requirements, controls & policies. These processes today are almost entirely manual, taking up hundreds of hours a year per compliance employee.\n\n# **Our** **Solution ✅**\n\nCardamon is an AI powered platform that ingests relevant regulation, understands what applies to each regulated financial firm, and gets compliance officers from regulation, to obligations, to product requirements in minutes - not weeks. \n\nCompliance officers can select any regulation they want to map to their firm. Cardamon goes through every line and evaluates:\n\n* What is applicable\n* What is an obligation \n* What the impact is\n* What the associated risks types are\n\n \n\nAdditionally, there is the option to generate controls for the obligations and query the underlying regulations with specific questions. \n\n![uploaded image](/media/?type=post&id=87846&key=user_uploads/2331736/d0972346-1b82-4c70-bd3a-1220e3ef8730)\n\nImportantly, compliance officers remain in full control with a host of features enabling them to edit, save and even download the mapping as a CSV.\n\n![uploaded image](/media/?type=post&id=87846&key=user_uploads/2331736/c8ff27c0-3e53-4524-b041-8e002a5aa711)\n\n# **Our ask 🙏**\n\nPlease reach out:\n\n* If YOU are a regulated financial company and want to launch products faster 🙂 - demos can be booked here if you want to jump straight in: <https://calendly.com/areg-cardamon/30min> \n* If you know any regulated financial companies (fintechs, crypto firms, investment firms, banks, insurance firms) who want to launch products faster but are slowed down by compliance (pretty much all regulated financial companies!)\n\nYou can ping us on [hello@cardamon.ai](mailto:hello@cardamon.ai) \n\n# **Who we are 🤝**\n\n[Areg](https://www.linkedin.com/in/areg-nzsdejan-85b894a1/) (CEO) and [Dmytro](https://www.linkedin.com/in/dmytro-astakhov/) (CTO) have worked together at Revolut for almost 4 years in the same Investment product team. Areg was a Product Owner, heading up the Diversified Assets and Engagement teams, managing 14 engineers. Dmytro was leading the backend engineering function on these products, building from the ground up. Together they shipped cutting edge investment products to millions of users.\n\n![uploaded image](/media/?type=post&id=87846&key=user_uploads/2331736/556c5a1a-b85c-4b08-81da-c67ffcb9e3b7)\n\n",
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    "website": "https://www.trybezel.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Bezel helps fashion brands create virtual photo/video shoots with AI. \r\n\r\nUpload images of clothes, select the human you want to model it, and Bezel generates pictures and videos that rival a full studio production. \r\n\r\nEvery detail of the clothing is rendered flawlessly. Try it for yourself.",
    "one_liner": "Digital AI humans that model clothes for e-commerce brands.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755619154,
    "tags": [
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        "full_name": "Kashyap Achar",
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        "founder_bio": "Kashyap is the Founder and CEO of Bezel. He previously led engineering efforts at Bilt scaling a $30 billion rent rewards platform and built Americas first auto HSA payment platform ($XXM in volume in first 3 months). While at Clearco he built tech that funded $2.5 billion to e-commerce companies.\n\nHe's now working on shaking up the e-commerce marketing industry at Bezel.",
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        "title": "Bezel: AI human fashion models for e-commerce brands.",
        "tagline": "Stop hiring production agencies, and start cranking out creatives with AI",
        "body": "**Bezel turns days-long apparel photo and video shoots into studio-quality images and videos in seconds—with AI and a few clicks.** What once costed $5,000 a shoot and required a full production team can now be created for a fraction of the price, instantly.\n\n**_Promo:_** All new signups this month get **10,000 free credits** on Bezel—enough to generate hundreds of stunning images for your brand.\n\n# [https://youtu.be/PKG8REHmbNM\\\\](https://youtu.be/PKG8REHmbNM%5C*%5C*%5C%5C)\n\n# **The Problem**\n\nApparel brands invest over $100k annually on photo and video shoots to produce marketing content. Yet, even after this significant spend, marketing teams often lack a sufficient variety of high-quality imagery and video to develop fresh, high-performing ads and creatives at scale.\n\nDue to a constant need to remix visuals, teams quickly exhaust their original shoot assets, creating a bottleneck that limits growth and stifles ad performance.\n\nThis gap between content needs and available assets slows experimentation, increases acquisition costs.\n\n# **Our Solution**\n\nBezel makes it easy for e-commerce teams (small and large) to create realistic, studio-quality images and videos of their apparel on AI-generated human avatars.\n\n![uploaded image](/media/?type=post&id=93362&key=user_uploads/717333/b7ddc2ed-00bb-4fd3-8a5b-da5e30443a38)\n\n![uploaded image](/media/?type=post&id=93362&key=user_uploads/717333/d868f009-c760-47c1-ab79-a1992b799112)\n\nJust upload your clothing images and Bezel quickly produces the visuals you need for ads, websites, and social media. No photo shoots, complex AI prompts, or creative delays. Bezel gives you the ready-to-use assets to power your next campaign.\n\n![uploaded image](/media/?type=post&id=93362&key=user_uploads/717333/dd2765d8-23af-454f-a4f4-3ad91209ada1)\n\n# **Key Features**\n\n* **Preset Human Models:** Choose from a wide variety of realistic male and female AI models in multiple ethnicities.\n* **Instant Studio Shoots:** Generate studio-quality, static images of any apparel in seconds—no photo shoots needed.\n* **Effortless AI Video Shoots:** Instantly create photorealistic videos of your apparel on human avatars, perfect for ads and social channels.\n* **No AI Prompting Required:** Just upload your clothing image and Bezel handles the rest, with no technical skills needed.\n* **Flexible Formats:** Download assets in both vertical and horizontal aspect ratios for websites, ads, and social use.\n* **Self-Serve Platform:** Designed for fast, easy content creation meaning no waiting for bulk processing or outside support.\n\n![uploaded image](/media/?type=post&id=93362&key=user_uploads/717333/c79768da-8bae-4fe8-9875-cb224f3ac365)\n\n# **Our Ask**\n\nIf you know any apparel brands put us in touch with them [founders@trybezel.com](https://mailto:founders@trybezel.com)\n\n# **The Team**\n\n[Kashyap ](https://www.linkedin.com/in/kashyapachar)- Previously built technology at Clearco to fund $2.5 billion dollars of marketing spend to e-commerce brands. He also scaled a $30 billion dollar consumer rent payment platform at Bilt and built America’s first automatic HSA payment platform.",
        "url": "https://www.ycombinator.com/launches/OHq-bezel-ai-human-fashion-models-for-e-commerce-brands",
        "votes": 78,
        "created_at": "2025-08-27T14:03:14.046Z"
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    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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        "full_name": "Nicholas Pipitone",
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        "founder_bio": "Cofounder & CTO @ ZeroEntropy (YC W25) -\n\nMy background is in theoretical mathematics and computer science.\n\nDropped out of CMU to pursue startups. Worked on low-level C/C++/Assembly/GPU Code. CTO and/or main dev for 5 different startups. Created stat-arb algorithms and audited blockchains for bug bounties and hedge fund due diligence.\n\nBuilt the AI @ myko.ai, manifestapp.xyz, magibook.co",
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    "news": [
      {
        "title": "Moroccan founder raises $4.2M for her YC-backed startup building the next layer of AI search  | TechCrunch",
        "url": "https://techcrunch.com/2025/07/09/moroccan-founder-raises-4-2m-for-her-yc-backed-startup-building-the-next-layer-of-ai-search/",
        "date": "Jul 09, 2025"
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        "id": 86779,
        "title": "ZeroEntropy 🔎 - Advanced AI Search Over Complex Documents",
        "tagline": "ZeroEntropy is the first search engine designed from the ground up to answer natural language queries by deeply understanding the language in long, complex documents.",
        "body": "Hey there YC!\n\nWe’re [**Ghita**](https://www.linkedin.com/in/ghita-houir-alami/) and [**Nicholas**](https://www.linkedin.com/in/nicholas-pipitone-5736a2107/), the founders of ZeroEntropy.\n\n![uploaded image](/media/?type=post&id=86779&key=user_uploads/1276815/916d931e-36dd-4c92-828a-e98d35fadf6a)\n\n**We are on a mission to build the world’s most accurate search engine over complex and unstructured documents, behind a simple API.**\n\n👉 _If you are building RAG, a search bar, or search tools for your AI Agents, please reach out to us here_ [_founders@zeroentropy.dev_](https://mailto:founders@zeroentropy.dev)\n\n<https://youtu.be/VxwnZDlEz2U>\n\n# **Why?**\n\nMost AI products - whether Q&A bots or AI agents - depend on retrieval systems to provide relevant context from knowledge bases.\n\nYet, the vast majority of these systems rely on basic semantic or hybrid search methods, which still frequently fail.\n\nThese mistakes lead to inaccurate responses and hallucinations by LLMs, frustrating developers and end users alike.\n\nThat’s why we’re building ZeroEntropy: to add intelligence to retrieval, and empower developers to build reliable and accurate AI products!\n\n# **A few common failure modes**\n\nThe most common examples are:\n\n* **Negated Queries**, like: _“Which electric vehicle articles **do not** include any reference to Elon Musk?”._\n* **Multi-Hop Queries**, like:_“Where was the suspect who was identified in the report born?”_\n* **Fuzzy Filtering Queries**, like: _“What diagnostic methods are suggested for early-stage cancer, in papers **that mention a sample size of over 2000**?”_\n\nThese types of queries are common in industries like legal, healthcare and manufacturing, where documents are very complex. Semantic similarity and keyword-based approach fail on all these examples. You can read more about why [**here**](https://medium.com/@zeroentropy/agi-requires-better-retrieval-not-just-better-llms-72f5288c37ef).\n\n# **Our Solution**\n\nSearch AI agents can solve these complex queries. Not only can they understand the user’s intent, but also route each query to the most suitable retrieval system, ensuring precise and relevant answers. Moreover, they adapt and personalize their performance over time, continuously improving with use.\n\nAll of this capability is accessible through a simple API that you can try out [here](https://dashboard.zeroentropy.dev).\n\n# **We need you!**\n\n👉 If you are building RAG, a search bar, or search tools for your AI Agents, please reach out to us here: [founders@zeroentropy.dev](mailto:founders@zeroentropy.dev)\n\n👉 Give our [product](https://dashboard.zeroentropy.dev) a try, and join our [Slack](https://join.slack.com/t/zeroentropy-community/shared_invite/zt-2venuk3yt-Of\\~\\~NtGIQn_hsD_QJe4fkQ) to follow our journey!\n\n# **About us**\n\nWe both have a background in math and AI: Ghita has two masters in Applied Maths from Ecole Polytechnique (Paris) and from UC Berkeley, and Nicholas grew up doing math and coding competitions at CMU before becoming the CTO of several startups.\n\nWe’ve both experienced the pain of building great retrieval systems from working as AI engineers and researchers in several industries from healthcare, to finance, to B2B SaaS, and consumer AI.\n\n# **PS/Fun Fact**\n\nIn case you’re curious about our name, in information retrieval, entropy refers to the expected variability of information contained in a variable or message. ZeroEntropy refers to knowing exactly what the message contains and is associated to a high predictability, low chaos state. In physics, absolute zero entropy is impossible to achieve. But we’ll try!",
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        "full_name": "Juan Pisco",
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        "founder_bio": "Building the AI Accounting Agent for Accounting Firms. Exit tripplanner.ai (3M+ users). Technical.",
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    "industry": "B2B",
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    "year_founded": 2024,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/osmosis-ai/",
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      "name": "Brad Flora",
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        "user_id": 695591,
        "full_name": "Kasey Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Currently: osmosis.ai \n\nPreviously: gaming founder, VC",
        "is_active": true,
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        "full_name": "Andy Lyu",
        "title": "Founder/CTO",
        "founder_bio": "Defining how real time systems should be built. Previously worked on data architecture and ecosystem at TikTok recommendations as the 5th and youngest US hire",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/baiqingl",
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        "id": 88480,
        "title": "Machine Learning Engineer ",
        "url": "https://www.ycombinator.com/companies/osmosis/jobs/N17l8oV-machine-learning-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "id": 87475,
        "title": "Osmosis: Unlocking Real-Time Learning for AI Agents",
        "tagline": "Osmosis gives AI agents the ability to learn like DeepSeek R1, all in real-time ",
        "body": "What if AI agents could immediately learn from their mistakes?\n\n## TL;DR\n\nWhile AI agent capabilities continue to improve, the agentic workflows remain brittle since agents aren’t able to learn from tasks in real-time. Osmosis is a framework that helps your AI agents learn in real-time (similar to DeepSeek R1’s post-training loop) in order to make them better, faster, and more responsive.\n\nOn the first run, we scored 21.5% accuracy, which is 60% better than base 4o performance (16X more expensive!). **This means that even on a first run, we're 25X+ more cost effective than base 4o - and that would be significantly better on a second run.** We also averaged 7.5 steps per task while OpenAI Operator averaged 67 steps per task (faster and cheaper!).\n\nIf you’re building AI agents and want to make them better, faster, and more responsive, we’d love to chat! Email [kasey@gulp.ai](mailto:kasey@gulp.ai) or book time [here](https://calendly.com/kasey-gulp/).\n\n## The Problem\n\nAI agents still struggle with novel and complex (multi-step) tasks. Even OpenAI Operator (current state-of-the-art) just scores 58% accuracy on the WebArena benchmark. The worst part is that agents make the same mistakes again and again!\n\nAnd even when agents can solve a task, there’s generally a lack of optimization in their process. This ends up negatively affecting performance while also driving up inefficient inference costs for users.\n\n## The Solution\n\nOsmosis builds and maintains a ‘library’ of an agent’s previous interactions. It’s a super simple two line addition in a developer’s agent infrastructure that:\n\n* Ingests and understand a user’s prompt\n* Queries a vector database to search for similar past scenarios\n* Recommends a relevant plan of action for the task\n* Quantifies an agent’s performance when it finishes, and embeds the assessment\n\nJust like that, we have a flow that enables agents to learn in real-time with each successive task!\n\nHere’s a head-to-head (Operator versus Claude 3.5 Sonnet + Osmosis):\n\n<https://www.youtube.com/watch?v=uhFuT8VD9tk>\n\n**Osmosis was 3X faster and 6X more efficient in the number of steps taken!**\n\n## Our Ask\n\nIf you (or anyone you know) are building AI agents and struggling with accuracy, speed, or cost, we’d love to chat and see how we can help! Please reach out at [kasey@gulp.ai](mailto:kasey@gulp.ai), or book some time directly [here](https://calendly.com/kasey-gulp/).\n\n## The Team\n\nWe’ve (Kasey and Andy) known each other for over a decade!\n\n[Kasey](https://www.linkedin.com/in/kasey-zhang/) (CEO) previously co-founded and ran a gaming startup for two years before it was acquired. From there, he worked at various VC firms focusing on AI and data investments before deciding to jump back into building.\n\n[Andy](https://www.linkedin.com/in/baiqingl/) (CTO) previously worked at TikTok, where he joined as an early member of the data infrastructure team and eventually became a tech lead, running data infrastructure for recommendations across the core TikTok app, Shop, Live, and more.\n\n![uploaded image](/media/?type=post&id=87475&key=user_uploads/695591/d662049a-cf42-4d21-bc5f-08643fd3be5e)\n\n",
        "url": "https://www.ycombinator.com/launches/Mkt-osmosis-unlocking-real-time-learning-for-ai-agents",
        "votes": 155,
        "created_at": "2025-02-06T19:22:40.649Z"
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    "name": "Operand",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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      "name": "Tom Blomfield",
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        "user_id": 1973960,
        "full_name": "Ram Gorthi",
        "title": "Founder",
        "founder_bio": "Dartmouth, Mathematics & Computer Science ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ramgorthi",
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        "full_name": "Akhil Iyengar",
        "title": "Founder",
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        "linkedin_url": "https://www.linkedin.com/in/akhiliyengar/",
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        "full_name": "Arjun Sahney",
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        "founder_bio": "Building Operand.",
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      {
        "id": 87469,
        "title": "Operand - An AI to Kill McKinsey",
        "tagline": "Operand helps businesses turn data into 6-figure returns—starting in e-commerce & retail.",
        "body": "### **TL;DR**\n\nOperand is building an AI to replace traditional consulting. We help businesses make better decisions by deeply analyzing their data across all sources—something consultants can’t do at scale.\n\nWe’re starting in e-commerce and retail, where the businesses’ high data density and real-time feedback loops allow us to show impact fast. Our first capability is **pricing and discount strategy**. Operand considers everything—competitor pricing, ad strategy, inventory, and more—to ensure businesses maximize profit.\n\nAnd unlike other AI solutions, every Operand result is **verified by human experts**, including ex-MBB consultants, so you get actual impact, not just AI hype.\n\nWe’re already generating 6-figure P&L improvements for early customers.\n\n🔹**Want to see Operand in action?** Book a demo here: <https://calendly.com/d/cmzk-vyr-2s8>\n\n🔹**Our Launch Video:** \n\n<https://www.youtube.com/watch?v=8BtKpSUzMwo>\n\n## **Why This Matters**\n\nFor decades, businesses have spent millions on consultants who deliver slide decks filled with high-level recommendations—but **without the ability to execute at scale.**\n\nRetail and e-commerce brands are drowning in data, spread across countless tools and platforms. They hire consultants who don’t code, buy software that doesn’t integrate, and rely on gut instincts when they should be acting on real analysis.\n\n**Operand changes that.**\n\nWe built an AI that deeply understands a brand’s entire data ecosystem. Instead of waiting weeks for a consulting firm to put together a report, Operand **analyzes the data in real time** and delivers actionable recommendations.\n\n## **How Operand Works**\n\n💬 **Ask Operand a business question** – via Slack, email, or our dashboard.\n\n📊 **Operand analyzes your entire data ecosystem** – from sales and inventory to competitor activity and ad spend.\n\n🚀 **Get a rigorous, expert-verified answer** – complete with analysis, forecasts, and next steps.\n\nWe’re starting with **pricing and discount strategy**, where even small optimizations can generate massive revenue impact. Our early customers are already seeing a 6-figure P&L improvement.\n\nAnd we’re just getting started.\n\n## **What’s Next?**\n\nWe’re rolling out **new capabilities** that are already driving results:\n\n🔹 **Ad Spend Management** – We optimize ad spend across platforms to maximize ROAS.\\\n🔹 **Customer Engagement** – Advanced targeting to re-engage customers and drive 3x conversion rate improvements.\n\nWant Operand to solve a specific challenge for your brand? Let us know!\n\n## **Join Us**\n\nOperand is actively working with **forward-thinking brands** who want to move faster, make better decisions, and leave overpriced slide decks behind.\n\nIf that sounds like you, let’s talk.\n\n📅 **Book a demo**: <https://calendly.com/d/cmzk-vyr-2s8>\n\n[🌐](https://calendly.com/d/cqw5-msn-pf2/operand-intro%EF%BF%BC%F0%9F%8C%90) **Learn more:** <https://www.tryoperand.com/>\n\n![uploaded image](/media/?type=post&id=87469&key=user_uploads/1973960/ee9b950e-e274-4412-ba93-7f58be5bcaa5)\n\n",
        "url": "https://www.ycombinator.com/launches/Mkn-operand-an-ai-to-kill-mckinsey",
        "votes": 53,
        "created_at": "2025-02-06T15:20:56.079Z"
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    "id": 30252,
    "name": "Cuckoo Labs",
    "slug": "cuckoo-labs",
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    "website": "https://www.cuckoo.so/",
    "all_locations": "Seoul, Seoul, South Korea",
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    "team_size": 2,
    "industry": "B2B",
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    "batch": "Winter 2025",
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        "tagline": "Olive connects to your database and 3rd-party services and builds your internal tools for you in minutes.",
        "body": "**Olive connects to your database and 3rd-party services and builds internal tools for you in minutes.** Just prompt it with what you need.\n\n[Introducing Olive:](https://youtu.be/UVM4ty9nUDI)\n\n# **Problem**\n\nInternal tools are incredibly valuable for companies and startups of every size—they give you valuable insights on what’s going on inside your product and speed up complex workflows. Unfortunately, building them is still a pain.\n\nCompanies either:\n\n1. Take time to build these from scratch\n2. Use existing providers and sometimes spend hours building a dashboard (it should take minutes).\n\nOften times, they **know** these tools are needed, but it feels wrong to move engineering time away from what matters most: the actual product. Thus, the solution is to either put it in the backlog, or dedicate time building and forever maintaining them.\n\n# **🫒 Our Solution**\n\nWith Olive, building these internal tools will take minutes.\n\nYou can connect your data sources during onboarding, and select which one Olive should read and generate around for each tool. **Olive will examine your database schema, write appropriate queries, and generate + deploy a full-stack internal tool.**\n\nWe’ve been hard at work to ensure the results are consistently high-quality, so that we can use this product ourselves. We’re excited to accept users off our waitlist in the coming weeks, as we support more database integrations and features.\n\n# **Our Ask**\n\nWe’d love to have you on our waitlist — [fromolive.com.](https://fromolive.com/)\n\nIf you’re curious about our product, want to explore use cases, or want to chat about anything internal tool related, feel free to email us at [**team@fromolive.com**](mailto:team@fromolive.com).\n\n# **Team**\n\nWe ([**Bardia**](https://www.linkedin.com/in/bardiasafari) and [**Shrey**](https://www.linkedin.com/in/shreyguptaoc/)) have known each other for almost 6 years (since high school) and realized how much we loved creating products that users love while building Fundsy—a fiscal sponsorship and financial services platform for community projects.\n\n**Bardia**\n\nBardia has previously done software engineering internships at Amazon (working on an internal HR tool) and JuiceMind (helping build a collaborative coding education product for schools). Ex-Stanford.\n\n**Shrey**\n\nShrey was previously a software engineering intern at Capital One where he built internal tools used to service over 400,000 cardholders/year. He was also a SWE intern at Campsite (workplace communication startup acq'd by Notion) and NASA (satellite data infra org). Ex-UC Davis CS.\n\n![uploaded image](/media/?type=post&id=88136&key=user_uploads/595992/59022972-b651-4241-b927-c467b5805ecb)\n\n",
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    "long_description": "Gale is an immigration tech platform that makes immigration simple for US companies. We've simplified the visa application process, streamlined compliance, and can integrate with HR systems - saving teams time, money and headaches. Through automation, we enable the independent attorneys we coordinate with to maintain quality whilst being more efficient.",
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        "full_name": "Rahul Gudise",
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        "body": "Gale is a tech platform that automates the entire H-1B application and compliance process for US employers, with independent licensed attorneys ensuring accuracy at all steps.\n\nhttps://youtu.be/tmMnGLIa3fs\n\n### **The Problem**\n\n![uploaded image](/media/?type=post&id=88070&key=user_uploads/1751117/82978c7b-fae9-48b4-8b08-a909d1852a7c)\n\n_An email from a founder in W25 to their immigration law firm (name redacted to protect the guilty)_\n\nWe’ve talked to enough employers to know dealing with immigration sucks. Here’s why:\n\n* Slow response times from lawyers (1-3 business days at least)\n* No help on complex compliance requirements after visa approval\n* Knowledge transfer and communication done via email or janky web forms\n* Confusing questionnaires or document checklists\n\n### **The Solution**\n\nWe help US employers spend as little time as possible worrying about H-1Bs and how to be compliant. Here’s how:\n\n* Fast online data intake process with AI-powered document intake that auto-fills your application\n* Easy to follow tooltips and comprehensive FAQ \n* Automated H-1B compliance for you and your team even after H-1B approval\n* An **experienced immigration lawyer** handles and reviews each individual case with the same level of scrutiny as a law firm\n* Fast turnaround time for legal questions\n* We use english, no legal jargon\n\n### **Moving forward**\n\nH-1Bs are just the beginning. We’ve already started working on expanding our offering to help both consumers and businesses with other types of visas such as O-1s, Fs, Ks and TNs. The US immigration service market isn’t built for the 21st century, and we believe by using a mix of AI and professionals in the loop we can change that.\n\n### **Our Ask**\n\n**Know someone who is hiring or has hired H-1B workers?** Whether it’s a startup, SMB, enterprise, university, or nonprofit, we’d love an introduction! You can email us at [**rahul@getgale.app**](mailto:rahul@getgale.app).\n\nWe’d also appreciate it if you could share this post, or our demo video and follow us on [**LinkedIn**](https://www.linkedin.com/company/galeapp) to stay updated on our journey!\n\n### **Team**\n\nRahul (CEO), Rishabh (CTO), and Haokun (CPO) have been building together since middle school and later studied at the University of Waterloo. After working at companies like NVIDIA and Tesla, they experienced the inefficiencies of the immigration process firsthand and decided to automate it.\n\n\\\nGale founders from left to right: Haokun, Rahul, Rishabh:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXchLNzKn3_48N25g3_X4dRxX7YLxU7jiQvK2oPpTRAD8MSvQpwG-C8AYDXUl0bRAbXYUgDD1ZukDf8MyOi_E_Z8iST3bgX5WzFKloRnlM4U1ZAkXWiM_4gyQd96ak32EO1-X3k?key=i0Gf8e5jxOhwPvU53uxZ6q3Z)\n\n",
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        "full_name": "David Mlcoch",
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      {
        "id": 114163,
        "title": "Forward Deployed Engineer (Healthcare)",
        "url": "https://www.ycombinator.com/companies/asteroid/jobs/tYlxU3M-forward-deployed-engineer-healthcare",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$120K - $160K",
        "equity_range": "0.20% - 0.35%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 96061,
        "title": "Asteroid: AI Builder for complex Browser Agents",
        "tagline": "Build self-healing AI browser agents in minutes. Ops build, developers deploy, Asteroid self-improves.",
        "body": "### **TL;DR**\n\n**Asteroid** is the fastest way to build self-healing browser agents, no technical experience required. \\\n\\\nOur new **AI agent builder**, **Astro**, allows you to build **complex, multistep browser agents** by building an agent graph, writing prompts, adding tools, human in the loop and guardrails.\n\nThis makes Asteroid agents suitable for **mission-critical workflows**, and more than **25 businesses** already use them in healthcare, insurance, and beyond.\\\n\\\n**Astro** **is fully available, build your agent [here](https://platform.asteroid.ai/)!**\n\nhttps://youtu.be/ugY_qLTfmG8\n\n### **What is the problem?**\n\nStartups need to integrate with external portals (carriers, suppliers, healthcare) but can’t wait months for APIs.\n\nMany great browser-agent frameworks have emerged in the past year, but **non-technical teams still can’t build production-grade agents.**\n\nOperations leaders, PMs, and founders are the ones who **understand the workflows and edge cases** and _should_ be the builders. Relying on developers to constantly fix prompts for every new edge case isn’t sustainable.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/d73eee4d-bcc6-461f-953e-6fdd56374905)\n\n### **Solution: Astro - AI Builder for Complex Browser Agents**\n\nToday we’re launching **Astro**, our AI builder that lets anyone create **complex, self-healing browser agents in under 2 minutes**. Tell Astro what you want, for example _“Build an agent to pull patient data from this EHR”_, and it generates the full agent.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/53714daf-535a-450a-8a76-82eb70d43007)\n\n**Astro improves the agent using previous runs.** Behind the scenes, it writes code when needed, including Playwright scripts for deterministic steps, giving everyone code-level reliability.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/62627740-6f1e-47ce-a197-917e01ceade7)\n\nEvery part of the agent, including graphs, prompts, and model settings, is fully visible so you can make precise, surgical edits whenever needed.\n\n### **How does it work**\n\n1. **Build:** Non-technical teams create agents directly in the platform. Astro generates the prompts, agent graphs, and tools needed to handle even the most complex browser workflows.\n2. **Deploy:** Developers drop in a single code snippet to call the agent through Asteroid’s API/SDKs.\n3. **Supervise:** Monitor live sessions, review recordings, track performance, and trigger human-in-the-loop via Slack when needed.\n4. **Improve:** Non-technical teams update prompts and ship new agent versions instantly as workflows change.\n\n### **Ship your first agent today**\n\n**Astro** **is fully available, try it for free [here](https://platform.asteroid.ai/) or book a [demo](https://cal.com/asteroidai/15min) with a founder!**",
        "url": "https://www.ycombinator.com/launches/OzN-asteroid-ai-builder-for-complex-browser-agents",
        "votes": 228,
        "created_at": "2025-12-09T22:31:58.000Z"
      },
      {
        "id": 88012,
        "title": "Asteroid: Browser Agents with Human Oversight",
        "tagline": "Browser workflow automation for regulated industries",
        "body": "**Asteroid makes browser automation seamless for regulated industries.** Not only developers but also non-technical teams can **build and run our browser agents with Asteroid**, turning 45-minute manual tasks into 2-minute automated processes.\n\nOur browser agents can navigate legacy portals, fill out forms, and extract data—all without brittle scripts, high costs, or maintenance headaches.\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/50a0915f-b720-4fff-923b-0b84e6017098)\n\n### **The Problem**\n\nTraditional automation tools like RPA are too expensive for non-enterprise customers, **costing $10,000 per automation**. Meanwhile, scaleups especially in high-risk industries like insurance or healthcare lack the resources to maintain Selenium or Playwright scripts, as these frequently break due to UI changes and the automations need to be extremely reliable.\n\n### **The Solution**\n\nBrowser agents bridge this gap—offering the flexibility of scripting with the reliability of RPA. With 2025’s computer use models, **web automation is now 100x cheaper and more robust, unlocking thousands of new use cases.**\n\n### **How It Works**\n\n**Asteroid transforms any browser task into an agentic workflow.** Simply show Asteroid what to do—via a screen recording, SOP, or written instructions—and get an agentic workflow. You can then call it through our web UI or API.\n\nBehind the scenes, Asteroid spins up a secure, headless browser, handles authentication, executes workflows, and seamlessly integrates human review when needed—all without burdening your developers. We ensure the agent improves over time.\\\n🔗 [Watch Asteroid in action](https://www.youtube.com/watch?v=26uksP36xB4)\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/fa0c7345-c244-4270-8c56-c905072f93ea)\n\n### **Highlighted Features**\n\n🔹 **API-First Automation** – Trigger a browser agent in a web UI or with a single API call—no need for complex scripts or RPA setups.\\\n🔹 **Human-in-the-Loop** – Automate only where it’s safe, with built-in escalation for manual review when needed.\\\n🔹 **Intelligent Guardrails** – Set rules like “Never click this button” or “Ask before submitting” to prevent errors.\\\n🔹 **Continuous Learning** – Asteroid evaluates every execution, adapting to website changes and improving over time using evaluations and backtesting.\n\n### **How We Got Here**\n\nWe’re both AI engineers who had to solve the same problem independently. Joe built AI systems that stopped $100M+ in fraud annually. David developed fraud investigation agents for fintechs.\n\nAfter years of building mission-critical automation, we learned that automation only works with intelligent guardrails, human oversight, and continuous learning.\n\nWe first built Asteroid as a developer tool for safe AI deployment—offering guardrails, human-in-the-loop workflows, and continuous evaluations. But we quickly realized:\n\n\\*\\*Browser agents need these safeguards even more.\\*\\*\\\n✅ **Guardrails** – \"Don’t click on this.\"\\\n✅ **Human oversight** – \"Ping me before you submit.\"\\\n✅ **Continuous learning** – \"The website changed—adapt.\"\n\nInstead of just developer tools, we’ve shifted to building browser agents with safety and reliability baked in!\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/e9051949-8032-4fc5-951d-1fb8361ba3e1)\n\n### **Real-World Use Cases**\n\nWe’re working with customers to automate high-value workflows like:\n\n🔹 **Insurance Portal Automation** – Retrieve broker quotes across insurer portals—without manual input.\\\n🔹 **Supply Chain Scheduling** – Log into carrier platforms, retrieve GPS data, and schedule deliveries—seamlessly.\\\n🔹 **Expense Management** – Pull PDF bills from utility portals for expense tracking—without APIs.\n\n### **Who is Asteroid for?**\n\n🔹**Businesses with Heavy Manual Browser Workflows** – Automate large-scale data entry, form submissions, and repetitive portal interactions.\\\n🔹**Regulated Businesses using Legacy Systems** – Streamline automation for industries like insurance, healthcare and supply chain.\\\n🔹**AI Agent Startups** – Enable AI agents to reliably interact with legacy portals and automate browser tasks.\n\n### **Get Started**\n\n**Have a repetitive workflow you'd love to automate?** Let’s explore how Asteroid can help!\\\n🔹 [Schedule a demo](https://calendly.com/founders-asteroid-hhaf/30min?month=2025-02) to discuss your use case!\\\n🔹[Try our default agents](https://platform.asteroid.ai/) and see browser automation in action!",
        "url": "https://www.ycombinator.com/launches/MtY-asteroid-browser-agents-with-human-oversight",
        "votes": 19,
        "created_at": "2025-02-25T16:20:12.618Z"
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    "id": 30260,
    "name": "Macadamia",
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    "website": "https://macadamialabs.com",
    "all_locations": "Ghent, Flanders, Belgium",
    "long_description": "Macadamia builds AI agents for complex engineering projects. \r\nThey automate both engineering & business processes, to automate away all low-leverage work.\r\nIt integrates with all engineering data sources, technical documentation, and third-party software tools.\r\nMacadamia serves customers in mechanical engineering, manufacturing, and construction.",
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    "industry": "B2B",
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    "launched_at": 1737733063,
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    "status": "Active",
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    "regions": [
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Software engineers are being automated in real-time, but for engineers that operate in the physical world those AI agents still don’t exist.\\\r\nNevertheless engineering teams are often bottlenecked by administrative workflows, instead of actual engineering.\\\r\nWe want to free them from those, by creating AI agents that do the boring but necessary work. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "A world where human engineers work together with AI engineers.\\\r\nWhere human engineers can operate without limitations and focus on designing and making decisions."
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    "url": "https://www.ycombinator.com/companies/macadamia",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/macadamia.json",
    "year_founded": 2025,
    "city": "Ghent",
    "country": "BE",
    "linkedin_url": "https://www.linkedin.com/company/105566815/",
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "user_id": 1605924,
        "full_name": "Abel Van Steenweghen",
        "title": "Founder/CEO",
        "founder_bio": "Building agents for complex engineering projects.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abelvs/",
        "x_url": "https://x.com/avansteenweghen",
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      {
        "user_id": 2227066,
        "full_name": "Brecht Pierreux",
        "title": "Founder/CTO",
        "founder_bio": "Building an AI Mechanical Engineer to fix technical projects. Previously SpaceX and NASA JPL. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brecht-pierreux-54b327181/",
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    "jobs": [
      {
        "id": 79875,
        "title": "Founding Engineer (Full-Stack)",
        "url": "https://www.ycombinator.com/companies/macadamia/jobs/JhBLKe5-founding-engineer-full-stack",
        "location": "San Francisco, CA, US / Ghent, Flanders, BE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $160K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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          "Python",
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        "title": "Founding GTM Lead ",
        "url": "https://www.ycombinator.com/companies/macadamia/jobs/0FN5u8j-founding-gtm-lead",
        "location": "Ghent, Flanders, BE / Remote",
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        "role": "Sales",
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        "experience": "3+ years",
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    "launches": [
      {
        "id": 88105,
        "title": "Macadamia: an AI Mechanical Engineer",
        "tagline": "Building AI agents that fix technical issues early in complex mechanical projects. ",
        "body": "Hi YC, we’re Brecht and Abel from Macadamia, combining expertise in AI and Aerospace Engineering.  \n\n**⚠️ The Problem**\\\nAt SpaceX, Brecht saw firsthand how information gaps between engineers and outdated technical documents from contractors caused errors worth thousands of dollars. Engineers deal with complex workflows, lengthy technical documents, coordination of suppliers, and more. This causes errors every day—often preventable, yet they still cause costly delays.\n\n**✅ Our Solution**\\\nMeet Cooper – an AI Mechanical Engineer that detects and fixes design errors in large engineering teams. Cooper scans your project files (drives, emails, CAE/CAD tools) to flag design errors before they escalate. By integrating with engineering software, our agent fixes design issues automatically in complex workflows.\n\n<https://youtu.be/r0NGof0gYgM?si=4X4-YixVCgUOask7>\n\n**👑 The Team**\\\nWe combine experience in AI and Engineering:\n\n* **Abel**: MSc Computer Science (TU Delft) and previously built AI startups\n* **Brecht**: MSc Mechanical Engineering (ETH Zurich | Caltech) and worked at SpaceX and NASA JPL\n\n**🔥Our Ask**\\\nWe’d love to connect with engineering leaders in mechanical, civil, and aerospace engineering to implement Cooper in their technical projects. Please reach out to [founders@macadamialabs.com.](https://mailto:founders@macadamialabs.com)",
        "url": "https://www.ycombinator.com/launches/Mv3-macadamia-an-ai-mechanical-engineer",
        "votes": 22,
        "created_at": "2025-02-27T15:06:01.099Z"
      }
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    "id": 30264,
    "name": "Stillwind",
    "slug": "stillwind",
    "former_names": [
      "P2P Industries",
      "Augento"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1b36aa3102c0461123d8bc84ffc46b58b33f3a9.png",
    "website": "https://stillwind.ai",
    "all_locations": "Zürich, ZH, Switzerland",
    "long_description": "Stillwind is a fractional librarian for startups. Customers give us the parts they want to put into designs and we give them footprints, symbols and 3d models made from the manufacturers datasheet.",
    "one_liner": "PCB component librarian",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1740421634,
    "tags": [
      "AIOps",
      "Electronics",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "Switzerland",
      "Europe"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/stillwind",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/stillwind.json",
    "year_founded": 2024,
    "city": "Zürich",
    "country": "CH",
    "linkedin_url": "https://www.linkedin.com/company/augento/",
    "x_url": "https://x.com/stillwinddotai",
    "fb_url": null,
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    "github_url": "https://github.com/stillwind-ai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1b36aa3102c0461123d8bc84ffc46b58b33f3a9.png",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1922635,
        "full_name": "Linus Meierhöfer",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ Stillwind. Previously researched quantified complexity theory. Worked in Quantitative Engineering @ DRW. Studied CS @ ETH Zurich.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/linus-meierhöfer-7a4596259",
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      },
      {
        "user_id": 1909734,
        "full_name": "Hannes Furmans",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO @ Stillwind\nDid CS at ETH Zürich. Did open source work on libp2p. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hannes-furmans-52923625a/",
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      {
        "user_id": 2235211,
        "full_name": "Josef Zoller",
        "title": "Founder",
        "founder_bio": "Co-founder & Chief Engineering Officer @ Stillwind. CS @ ETH Zürich. I’m a full-stack software engineer but specialize in networks, systems programming, and ML.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zollerboy1",
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    "launches": [
      {
        "id": 104942,
        "title": "Stillwind Builder — Zero to BOM in minutes instead of days",
        "tagline": "AI agent that turns your PCB design intent into a complete, verified bill of materials.",
        "body": "❌ **The problem**\n\nEvery PCB design is a constraint problem: you need components that are electrically and functionally compatible with each other. Solving it by hand means hours — often days — of tracking down parts, reading datasheets, adding a component, discovering a conflict, and backtracking. Pick an MCU and the cascade begins: it needs a specific crystal, external flash on the QSPI bus, a regulator that can source its peak current. Every choice ripples through the whole design.\n\n✅ **The solution**\n\nStillwind Builder formalizes your design constraints as an explicit system of equations and solves for matching components.\n\n* **Verified specs.** Before we show you a part, a second model independently re-reads its datasheet and verifies the specs match — so the numbers you design against are what the datasheet actually says, not extraction artifacts.\n* **Dependency-aware.** When you lock in a component, the agent reads its datasheet for the supporting parts it requires — voltage regulators, crystals, external flash — and updates the constraint system. The ripple effects of each choice are handled instead of discovered later.\n* **You stay in control.** You set the direction and make the calls that matter; the agent handles the combinatorial grind.\n\nAt the end, you download your BOM and start wiring.\n\n🚀 **Try it**\n\nThe public beta is live and free during launch week: [**https://stillwind.ai**](https://stillwind.ai)\n\nBuilding hardware and want to tell us what's broken? We'd genuinely love that — grab time with us: <https://calendar.app.google/Bd7KQEAYLgt6SmHZ6>",
        "url": "https://www.ycombinator.com/launches/RIc-stillwind-builder-zero-to-bom-in-minutes-instead-of-days",
        "votes": 5,
        "created_at": "2026-07-07T21:57:20.206Z"
      },
      {
        "id": 88188,
        "title": "Augento 🤖 - DeepSeek reinforcement fine-tuning as-a-service",
        "tagline": "Improving your AI agents with reinforcement learning.",
        "body": "Hey all 👋, we’re Linus, Hannes, Lukas, and Josef—co-founders of [**Augento**](https://www.augento.ai/)! 🕊️\n\n**TL;DR**\n\nWe align your agents with reinforcement finetuning. You give us your agent, tell us where it fails and we’ll improve it. 🚀\n\nWe are actively looking for **design partnerships**. If you are interested, please shoot us a message at [**founders@augento.ai**](mailto:founders@augento.ai) 😄\n\n**The Problem ❌**\n\n🗣️ AI Agents struggle in real-world environments. Even state-of-the-art reasoning models score below 50% accuracy on non-trivial benchmarks.\n\nThe solution for many is still prompt engineering &amp; expanding the models' guardrails. However, anyone who’s fought with large prompts knows how draining it can be. You’re never quite sure if the model is really following your instructions or if your tweaks make any difference.\n\n**Our Solution ✅**\n\nWe tackle this by replacing prompt engineering with fine-tuning + RL on **your** feedback. We integrate with a two lines of code change in your existing system.\n\n[**https://www.youtube.com/watch?v=Sulzf7VZr3k**](https://www.youtube.com/watch?v=Sulzf7VZr3k)\n\n**The Workflow 💡**\n\n1\\. Swap out your LLM connector URL with ours.\n\n2\\. We intercept every prompt and output, displaying them in our UI.\n\n3\\. Where necessary, you give high-level feedback, like your preferred tone or how a tool should actually be used.\n\n4\\. We continuously post-train the model to match up to your feedback.\n\n5\\. Once you deem it good enough and want to switch over to the model, you can do that with a click of a button, no changes to your code required.\n\n**Our Ask**\n\nWe’d love your input and are looking for early users to test-drive Augento. Shoot us a message at [**founders@augento.ai**](mailto:founders@augento.ai)\n\n**The Team**\n\nLinus previously studied CS @ ETH in Zurich and did research in complexity theory. During his studies, he worked as an ML Engineer &amp; as a Quantitative Developer in High-Frequency Trading.\n\nHannes previously studied CS @ ETH Zurich and worked on decentralized and distributed systems. During his studies, he worked as a paid contributor for a big open source project and as the technical lead for his previous startup.\n\nJosef previously studied CS @ ETH Zurich, and worked on computer systems and networks, as well as ML. During his studies, he worked as a full-stack software engineer and embedded systems developer.",
        "url": "https://www.ycombinator.com/launches/MwO-augento-deepseek-reinforcement-fine-tuning-as-a-service",
        "votes": 18,
        "created_at": "2025-03-02T02:49:45.257Z"
      }
    ]
  },
  {
    "id": 30266,
    "name": "Cenote",
    "slug": "cenote",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2619da2ac1f4d3cedc1e2215d24e39f697bc681.png",
    "website": "https://www.joincenote.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cenote helps online D2C brands convert more shoppers through AI sales reps that can call and text.\r\n\r\nOnline stores rely on static websites, one-way email and SMS campaigns, and inside sales teams with limited availability. But many purchases are better suited to a conversation: shoppers have questions, need guidance, or simply are not excited to buy based on what's on the site alone.\r\n\r\nToday, those shoppers are poorly served. Abandoned-checkout campaigns are generic, call centers close, and slow human follow-up allows high-intent leads to go cold. Our customers often see conversion rates below 1% from traditional abandoned-checkout outreach.\r\n\r\nCenote's AI reps reach shoppers immediately, remember their context, and continue the conversation across channels and over time. This gives every interested shopper access to a personalized sales rep and helps brands recover revenue from leads they have already paid to acquire.",
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        "full_name": "Kofi Ansong",
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        "full_name": "Kristy Gao",
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        "id": 97924,
        "title": "CENOTE - Sales Agents For Digital Health Clinics",
        "tagline": "Our AI sales agents immediately and persistently call and text your leads",
        "body": "**TL;DR**\n\nTelehealth clinics spend hundreds of thousands on ads but convert only a fraction of the patients who visit their site.\n\nBuying GLP-1s, TRT, or other treatments is a high-stakes decision, yet most patients are left alone with a website.\n\nCenote provides AI sales agents that instantly reach out, answer questions, and guide patients through the purchase, helping clinics grow revenue and patients buy with confidence.\n\n**Problem**\n\nTelehealth customer acquisition is extremely expensive.\n\nClinics often pay hundreds, sometimes thousands, of dollars per lead, yet most visitors never convert.\n\nAfter spending heavily to acquire demand, clinics rely on two imperfect tools:\n\n* marketing automations with low engagement\n* human reps who can’t scale coverage or response time\n\nThe result is lost revenue for clinics and confusing shopping experiences for patients making complex medical decisions.\n\n**Insight**\n\nHigh-consideration healthcare purchases shouldn’t be self-serve websites, they should be guided experiences.\n\nPatients don’t abandon because they aren’t interested, they abandon because they have questions, uncertainty, or timing issues.\n\nIn the offline world, these purchases would involve a knowledgeable guide.\\\nOnline, that layer has been missing.\n\nWe believe a new default is emerging: instead of navigating complex decisions alone, every buyer will have an intelligent concierge helping them evaluate, decide, and act.\n\n**Solution**\n\nCenote gives every lead a personalized, persistent sales experience.\n\nOur agents:\n\n* reach out instantly via call and text\n* answer questions and qualify needs\n* follow up over days or weeks as patients decide\n* support use cases like abandoned carts, failed payments, and win-backs\n\nEvery lead gets the experience of a dedicated care guide.\n\n**The Impact**\n\nClinics using Cenote see:\n\n* significantly higher conversion on existing traffic - for one clinic our agent converted at 2x the rate of a human rep\n* better patient experiences\n\nInstead of losing demand, they capture it.\n\n**Why now**\n\nAI can now hold natural, helpful conversations at scale.\n\nFor the first time, it’s possible to give every patient a guided buying experience, something previously only available to the highest-touch businesses.\n\n**The ask**\n\nWe’re looking to speak with:\n\n• Telehealth operators spending heavily on acquisition\\\n• Patients who recently considered an online health purchase\n\nIf that’s you (or someone you know), we’d love to talk.\n\nWe’d love your help!",
        "url": "https://www.ycombinator.com/launches/PTQ-cenote-sales-agents-for-digital-health-clinics",
        "votes": 5,
        "created_at": "2026-02-18T23:03:10.988Z"
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        "id": 87480,
        "title": "Cenote - Back office automation for specialist medical clinics",
        "tagline": "Cenote eliminates administrative bottlenecks that slow down revenue.",
        "body": "### **tl;dr**\n\nWe work with specialist clinics to identify their biggest administrative blockers and deploy custom **AI** to resolve them. Right now, we’re automating **referral intake**, reducing the time it takes for clinics to process new patients and accelerate revenue collection.\n\n<https://www.youtube.com/watch?v=u403AnLMSNE>\n\n### **Problem**\n\nSpecialist clinics struggle with **slow, manual referral processing**, leading to revenue delays, administrative overload, and patient drop offs. The biggest bottlenecks we've uncovered:\n\n* **Referral processing is manual and slow.** Clinics receive **thousands of referrals per month**, requiring extensive manual effort to extract and enter data.\n* **Medical necessity verification is tedious.** Clinics must determine if a referral meets insurance criteria, often requiring **days of back-and-forth with primary care providers** for missing information.\n* **Insurance approvals are a major roadblock.** Clinics waste **days negotiating with insurers** to confirm reimbursement eligibility before scheduling treatment.\n\nThese inefficiencies cause **40-60% of referrals to drop off and** costs the U.S. healthcare system **over $150 billion annually**. The administrative burden is also immense, with an average of **4.3 administrative staff per doctor** in the American healthcare system.\n\n### **Solution**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXduwoVo9LiyuYd4ldqDHoJxHu2uaKzKbOzQnI4MZ0vlWDvKTY-nE2iokzaFTCR7-7PeqhwdI9FIqtRbpP1FkZ3ivWq6TdtuyftWnKoMCyzw-smhtrM7tZacSCTnDkJ45wF92PRK7w?key=9LANEIwzbMw6NQWGiMH6ii1e)\n\nCenote eliminates the **referral-to-treatment bottleneck**, allowing clinics to focus on patient care while accelerating revenue collection.\n\n* **Automated data extraction:** We categorize and extract key referral details the moment they hit the clinic’s inbox.\n* **Seamless medical necessity verification:** If critical referral data is missing, our system **auto-requests** the necessary information via the preferred form of digital communication.\n* **AI-powered insurance authorization:** Our **AI callers** handle insurance approvals, freeing clinic staff to focus on higher-value tasks.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeGgHkFuty55KGO5k--WHuaGP852o6tN4i7BepjytmDTjp48gCAx7ZC2boYhxw4NV9-evAIo09IUWh61gICroHpapc2X2jAmN3plFp4tpHM7ib9RKHwuqyyvd4FXxx2qQe-r7D7Uw?key=9LANEIwzbMw6NQWGiMH6ii1e)\n\nValidate page allows staff to easily confirm extracted data\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=87480&key=user_uploads/2213671/4398c4d4-4712-4460-a3a3-46107d03750d)\n\n[Kofi](https://www.linkedin.com/in/kofi-ansong-89294016a/) was formerly a software engineer for [Promise](https://www.ycombinator.com/companies/promise) (YC W18), a gov-tech company. He is leveraging his experience building AI products for state governments to delight folks in the healthcare industry.\n\n[Ajani](https://www.linkedin.com/in/ajani-smith-washington/) spent 2.5 years before this as an early stage VC at Base10 -- investing $30M in seed and series A stage companies\n\n[Kristy](https://www.linkedin.com/in/gaoxk/) worked on carbon accounting engines at Watershed Climate and is experienced in working in highly regulated spaces. She developed a wide set of engineering expertise from her time at several tech companies, including Google, PayPal, Cockroach Labs.\n\n### **ASK**\n\nIf you know someone who owns or works at a specialist medical practice (e.g. sleep centers, specialty pharmacies, medical supply store), please introduce us. You can reach us at founders@joincenote.com.",
        "url": "https://www.ycombinator.com/launches/Mky-cenote-back-office-automation-for-specialist-medical-clinics",
        "votes": 32,
        "created_at": "2025-02-06T23:14:55.843Z"
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    "name": "Lopus",
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    "long_description": "Pointing an AI at all your data is a recipe for disaster - it will confidently lie, hallucinate, and drive your business into the ground.\r\n\r\nWhat if you could trust your AI the way you trust a calculator?\r\n\r\nThat's Lopus.\r\n\r\nWe build a self-healing semantic layer that captures your business logic.\r\nIncluding every metric, every definition, every edge case.\r\nDefined once, and trusted everywhere.\r\n\r\nNo SQL. No dashboards. No waiting on the data team.",
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        "full_name": "Aamish Ahmad Beg",
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        "full_name": "Danylo Borodchuk",
        "title": "Founder",
        "founder_bio": "Building Lopus - Analytics for the rest of us. \n\nEx. 2+ years of award-winning R&D for startups @ DALI Lab, Dartmouth, deep experience in AR/VR development, product & system design. Led multiple ivy league technical teams at research labs, tech consulting groups, & quant teams. ",
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    "id": 30268,
    "name": "AthenaHQ",
    "slug": "athenahq",
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      "Otter Health"
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    "long_description": "Make sure your brand doesn’t get left behind as search shifts from traditional SEO to generative AI search.\r\n\r\nAthenaHQ is an AI SEO platform for GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization), helping brands show up in AI-generated answers across ChatGPT, Perplexity, Claude, Gemini, and more.\r\n\r\nAI search is expected to overtake traditional search within the next few years. AthenaHQ fills the gap with a system to measure visibility, identify what AI engines cite and recommend, and help your team improve content and brand presence for AI-first discovery.\r\n\r\nTeam of former product manager on Google Search's information acquisition team, Deepmind Generative Media team, and ChatGPT superusers.",
    "one_liner": "Be the Answer in AI Search - AI SEO across SEO, GEO & AEO",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1739175359,
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        "user_id": 556828,
        "full_name": "Andrew Yan",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder AthenaHQ--helping brands get discovered on ChatGPT. Formerly @googlesearch @deepmind @usarmylab @columbia\n\nIn previous life, played in the band that inspired the Oscar-winning movie Whiplash.",
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        "user_id": 1639890,
        "full_name": "Alan Yao",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO at AthenaHQ, formerly a jazz trombonist",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alanya0",
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        "id": 79467,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/athenahq/jobs/XkSGIvh-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$240K - $300K",
        "equity_range": "0.10% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 86934,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/athenahq/jobs/EAoJcox-product-engineer",
        "location": "SF In-Person",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.20% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Next.js"
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      {
        "id": 93603,
        "title": "Growth Engineer",
        "url": "https://www.ycombinator.com/companies/athenahq/jobs/ZqNEuPw-growth-engineer",
        "location": "SF In-Person",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$110K - $160K",
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        "experience": "Any (new grads ok)",
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        "title": "Founding Growth Marketer",
        "url": "https://www.ycombinator.com/companies/athenahq/jobs/rPMNI5x-founding-growth-marketer",
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      {
        "title": "The Wild West Of AI Search And How One Startup Is Helping Brands Navigate The Post-Google Era",
        "url": "https://www.forbes.com/sites/josipamajic/2025/06/17/the-wild-west-of-ai-search-and-how-one-startup-is-helping-brands-navigate-the-post-google-era/",
        "date": "Jun 17, 2025"
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      {
        "id": 87626,
        "title": "AthenaHQ: Get Your Brand Discovered on ChatGPT",
        "tagline": "Monitor and Take Action on Your GEO (Generative Engine Optimization)",
        "body": "Hey everyone, we’re Andrew and Alan — co-founders of [AthenaHQ.](https://www.athenahq.ai)\n\n# **TL;DR**\n\n[AthenaHQ](https://www.athenahq.ai) helps companies see how their brand appears on generative engines like ChatGPT, Perplexity, Claude, Gemini, and more. Make sure your company doesn’t get left behind in the paradigm shift from traditional to generative search.\n\n# **The Problem**\n\nIn the past, majority of website visits came from traditional Google Search. Now, sites are increasingly getting it from generative engines like ChatGPT. \n\nFrom our conversations, we found anecdotally that site traffic attributed to generative engines is increasing month-over-month, picking up in the past few months since the launch of ChatGPT Search in October 2024. **Traditional search engine volume is predicted to drop 25% by 2026, and 50% by 2028**, replaced by traffic originating from generative engines like ChatGPT.\n\n<https://youtu.be/7VobRo3EEok>\n\n# \n\n# \n\n![uploaded image](/media/?type=post&id=87626&key=user_uploads/556828/f040136e-62e0-4ac2-8ce4-f93fb3620c02)\n\n# **The Solution**\n\nAthenaHQ helps your brand adapt to the fast-changing world of generative engines with our monitoring solution and action center. We give you a 360 degree view of possible ways customers are discovering your brand and centralize actionables you can take in our action center. Our copilot Athena generates first drafts of actions you can take to improve your AI engine posture.\n\n# \n\n![uploaded image](/media/?type=post&id=87626&key=user_uploads/556828/44929a94-b0df-4f41-a55a-19cf9914cae3)\n\n# **AthenaHQ Team**\n\n![uploaded image](/media/?type=post&id=87626&key=user_uploads/1639890/a716a3fc-e51d-4904-ab9d-79de859d9492)\n\n[Andrew](https://www.linkedin.com/in/andrew-yan-200/) (left) was formerly a product manager on Google Search’s information acquisition team and also worked on the generative media team on Deepmind, where he saw firsthand how brand management is changing in the AI age.\n\n[Alan](https://www.linkedin.com/in/alanya0/) (right) has been at the forefront of consumer and AI since pre-ChatGPT, having donated to OpenAI in 2019 back when it was a nonprofit.\n\n# **Our Ask**\n\nCurious what ChatGPT is saying about your brand? Want to track what queries you do well and how you’re trending?\n\n**Know any marketing friends who don’t want to miss out on this paradigm shift?** \n\nFollow us on [LinkedIn](https://www.linkedin.com/company/athena-hq) and feel free to email us at [andrew@athenahq.ai](https://mailto:andrew@athenahq.ai) or schedule time directly on our website: [athenahq.ai](http://athenahq.ai)",
        "url": "https://www.ycombinator.com/launches/MnK-athenahq-get-your-brand-discovered-on-chatgpt",
        "votes": 19,
        "created_at": "2025-02-13T03:29:22.357Z"
      }
    ]
  },
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    "id": 30270,
    "name": "G LNK",
    "slug": "g-lnk",
    "former_names": [
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        "body": "Hey YC!\n\nWe’re [Raouf](https://bookface.ycombinator.com/user/2360566) and [Rayan](https://bookface.ycombinator.com/user/2366179) — co-founders of G LNK\n\n**TL;DR**\n\nG LNK is an AI-powered platform that connects Pharma companies with doctors & researchers. Rayan worked on this as a consultant, where Pharma companies spent billions annually just to determine how much to pay doctors while staying within regulatory guidelines. Using LLMs, we’re automating the end-to-end process—from identifying candidates to compensation and compliance.\\\n<https://youtu.be/16oP6roNnZk>\n\n**Problem**\n\nPharma companies spend over **$70 billion annually** on engaging doctors & researchers, yet a lot of that money is wasted on outdated and manual processes:\n\n* **Outsourcing is expensive and slow**: Companies spend millions on third parties (consulting, recruiting, and regulatory firms)  just to find the right experts and to know how much to pay them compliantly.\n* **Compliance risks are high**: Payment miscalculations can lead to regulatory violations and hefty fines\n* **Data is scattered**: Contracts, payments and compliance tracking are spread across disconnected systems, making transparency and oversight difficult\n\n<https://youtu.be/qDdFbMWO6eU>\n\n**Solution**\n\n**G LNK automates Pharma companies' entire healthcare professional (HCP) engagement process**—from identifying suitable doctors to engaging them. Here’s how it works:\n\n1. **Identify HCPs:**\n   * Identify a doctor from our database of over 3.2 million user profiles (growing 250% MoM).\n   * Alternatively, if you know who you want to engage, simply upload the doctor’s CV and we will take care of the rest.\n2. **Calculate Compensation:**\n   * Instantly determine their compensation rates.\n   * Adjust the rates dynamically based on factors such as service type and travel requirements.\n3. **Engage Directly:**\n   * Contact the selected doctors directly through our platform.\n4. **Ensure Compliance:**\n   * Maintain regulatory compliance and prevent compliance violations before they happen.\n   * Leverage real-time data from trusted sources like NIH, PubMed, CBS, CMS, and more.\n\nThis step-by-step solution replaces multiple vendors with a single AI-powered platform, ensuring efficient, compliant, and cost-effective HCP engagement.\n\n**Additional Features**\n\n* **Built-in CRM** to track all HCP engagements\n* **Comprehensive financial tracking**, including:\n  * All Transfer of Value payments made to HCPs (date, purpose, associated drug)\n  * Drug coverage breakdown\n  * Monthly payment summaries\n  * Payment analysis by Therapeutic Area\n* **Tailored recommendations** for grants, conferences, and publications for HCPs\n* **Centralized database** of regulations and Codes of Conduct across 150+ countries\n\n**Team**\n\nRayan and Raouf have known each other for over a decade, with their professional relationship cementing itself during their time as researchers at the University of Chicago.\n\n**Rayan (CEO)** worked as a Life-Sciences Consultant at PwC and was recognized as top consulting analyst in the US for pioneering automation in pharmaceutical compliance. He holds degrees in Chemistry & Economics at UChicago, where he was one of the youngest biochemistry researchers at Pritzker School of Engineering.\n\n**Raouf (CTO)** worked as a ML-researcher at AxLab, where he specialized in developing neural network architectures for multimodal human-computer interaction with adaptive reinforcement learning. He has a multidisciplinary background, with degrees in Computer Science, Astrophysics, & Economics from UChicago\n\n![uploaded image](/media/?type=post&id=88235&key=user_uploads/2366179/8a3b2573-1a0d-499b-b252-94260eb9ca1d)\n\n**We are on a mission to help Pharma companies cut costs, enhance accuracy with better benchmarking, and save valuable time. By streamlining these critical processes, we empower Pharma to focus more resources on manufacturing, distribution, and supply—accelerating the delivery of life-changing treatments to those who need them most.**\n\n**Our Asks**\n\nWe would really appreciate introductions to anyone working in the Pharma industry or any health-related verticals. Additionally, if you know any physician/research communities, we would love to talk and learn more!",
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        "url": "https://www.ycombinator.com/companies/candor-security/jobs/VHLrfOO-senior-full-stack-engineer",
        "location": "San Francisco, CA, US",
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        "visa": "US citizen/visa only",
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    "long_description": "Trata is an AI-powered research desk for hedge funds. We use agents to interview hedge fund analysts, write investment research, and distribute this through a subscription.",
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    "subindustry": "B2B -> Finance and Accounting",
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      "Investing",
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        "full_name": "Eric Cho",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder/CEO at Trata (W2025). Previously a technology investor at a L/S hedge fund. Cornell grad. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/emc329",
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        "title": "Business Operations Intern",
        "url": "https://www.ycombinator.com/companies/trata/jobs/72esYnV-business-operations-intern",
        "location": "New York, NY, US / Remote (US)",
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        "id": 94620,
        "title": "Research Scientist Intern",
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        "location": "San Francisco, CA, US / New York, NY, US",
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        "url": "https://www.ycombinator.com/companies/trata/jobs/uR1gMzW-marketplace-operations-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "title": "Everyone Wants Debt, Not Equity - Bloomberg",
        "url": "https://www.bloomberg.com/opinion/articles/2025-03-19/everyone-wants-debt-not-equity",
        "date": "Mar 18, 2025"
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        "id": 87903,
        "title": "Trata – Anonymous buyside research desk for hedge funds",
        "tagline": "Trata uses AI agents to help hedge funds find their next 10-bagger",
        "body": "### **TL;DR**\n\nTrata gives hedge funds un-biased, unfiltered stock analysis from anonymous Analysts at well-known funds. Our AI agents interview Analysts at multi-billion dollar funds, capture their thinking about the stocks they know and publish it anonymously.\n\n### **Problem:**\n\n1. It takes buyside Analysts at least 3 hours to figure out a company’s key narratives/points of debate - what outcomes are going to drive the share price up OR down? Examples: an ongoing lawsuit, a competitor going bankrupt, an Activist campaign, a new CEO, etc. This involves reading earnings call transcripts, initiation reports, talking to Investor Relations, reaching out to other Analysts, and piecing everything together yourself.\n2. Because of the time it takes to do step 1, would-be winners/inflection points fall through the cracks all the time.\n3. Current solutions (idea dinners, forums like Value Investors Club, Twitter DMs, independent research boutiques and even paid Substacks) are fragmented and biased.\n4. The highest quality leads come from talking directly to fellow Analysts, but there’s never been a way to do this at scale, authentically. Until now.\n\n### **Solution:**\n\nWe use LLMs to interview dozens of people a day, get their quick and honest takes on signals/points of debate they’re actually paying attention to, and turn that into a one-of-a-kind research product. Each conversation is with an anonymous hedge fund Analyst who is deeply familiar with the company – think an expert network where the hedge funds are the experts. Contributors share their knowledge to gain access to an exponentially bigger pool of expertise.\n\nWe don’t provide investment advice; we just get you up to speed – fast. We work directly with the compliance teams of multi-billion dollar hedge funds and have a team of human lawyers to ensure SEC compliance.\n\nWe are building the product I wish I had as an Analyst. Our first user interviews liked the idea so much (without any code built) that they are now our angels.\n\n<https://www.youtube.com/watch?v=gE_Ovy1BiTM>\n\n### **Here’s how to think about our value proposition:**\n\nIf a fund manages $300 million, one successful idea (3% position, +50% return) generates $4.5 million in profit and $900K in fees ($720/180K split between the Portfolio Manager and Analyst). This is a 750X, 120X, and 30X ROI on a $6K subscription for the Fund, Portfolio Manager and Analyst.\n\nAll it takes is one decent idea for Trata to be a home run.\n\n### **Our Ask:**\n\nIf you are a hedge fund Analyst or know any hedge fund Analysts / public investors, please reach out! They don't have to be at a big fund like Citadel for us to be interested. We pay very well. They will most likely thank you for the intro. We guarantee anonymity. Contact us at [founders@trytrata.com](mailto:founders@trytrata.com).\n\n### **Our Team’s Story:**\n\nEric and Will met at Cornell as undergrads. Eric and Alex met in high school English and grew up in the same hometown.\n\n[Eric](https://www.linkedin.com/in/emc329/): 4.5 years as a Senior Analyst at a Long/Short Hedge Fund covering tech companies globally. Applied Economics (summa cum laude) at Cornell. Posts on Value Investors Club for fun, Sohn Idea Contest Finalist in 2021, has traveled to 20+ countries in the past few years.\n\n[Will](https://www.linkedin.com/in/william-m-gao/): UChicago PhD Student (ML/AI). Research Scientist Intern at Meta’s Reality Labs, Nvidia’s Deep Imagination Lab, and Adobe Research. Full-time ML Engineer at Meta. CS/Stats/Math triple major in three years and a Master’s in CS his fourth year at Cornell. Globally ranked in certain online video games.\n\n[Alex](https://www.linkedin.com/in/alexanderqchen/): Senior Software Engineer at Titan (YC S18, Series C backed by a16z), Engineer 7 at Medallion (Series C backed by Sequoia), Software Engineer at Oscar Health a year before its IPO. CS degree from UCLA. Took a gap year to pursue bootstrapped entrepreneurship in Taiwan. By far the best chef in the apartment.\n\n![uploaded image](/media/?type=post&id=87903&key=user_uploads/1739520/7ff92c6e-665c-4393-991d-865dda1479be)\n\n",
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        "votes": 58,
        "created_at": "2025-02-21T18:41:41.234Z"
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    "one_liner": "AI agents for CX teams, starting with training and QA.",
    "team_size": 6,
    "industry": "B2B",
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        "full_name": "Mark Hughes",
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        "full_name": "Patrick Finlay",
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        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/solidroad/jobs/2b4DWxs-senior-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "0.40% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [
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        "title": "A new chapter for Solidroad: $25M to make every customer interaction count - AI QA & Training Platform for CX Teams | Solidroad",
        "url": "https://www.solidroad.com/resources/series-a",
        "date": "Apr 16, 2026"
      },
      {
        "title": "Solidroad raises $6.5M to help CX teams increase CSAT without increasing cost - AI QA & Training Platform for CX Teams | Solidroad",
        "url": "https://www.solidroad.com/resources/solidroad-raises-6-5m-to-help-cx-teams-increase-csat-without-increasing-cost",
        "date": "Jun 05, 2025"
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        "id": 86367,
        "title": "Solidroad - AI agents for sales and support teams, starting with training and QA",
        "tagline": "AI agents for sales and support teams, starting with training and QA",
        "body": "**TLDR**:\n\nSolidroad builds AI agents for sales and support teams, starting with training and QA. Solidroad agents train human reps in a simulated environment, and evaluate their performance in live customer channels.\n\nBy starting with training and QA, our agents learn how humans learn, and their performance can be compared directly with human reps. This enables us to prove the value of the rest of the agents on our roadmap.\n\nSince launching last summer, we’ve **reduced onboarding times by 50%** at several of the world’s largest outsourced contact centres/BPOs like PartnerHero and Tech Mahindra, and **improved go-live CSAT at **[**Crypto.com**](http://Crypto.com)** by 3%** (now above 90% CSAT).\n\nIf you run a large support or sales team and care about conversation quality - we would love to speak with you!\n\n[Demo Video:](https://www.youtube.com/watch?v=ONeUPOsK6ss&ab_channel=PatrickFinlay)\n\n**The Problem:**\n\nSales and support teams struggle to consistently deliver high-quality customer interactions. Onboarding new hires takes too long, trainers and QA analysts spend excessive time manually reviewing only a small sample of conversation volume (3-5% at best), and skill gaps often go unaddressed until it’s too late.\n\nWithout full conversation coverage, real-time insights and tailored training, companies face reduced win rates, poor customer satisfaction (CSAT) scores, and inefficiencies that cost time and revenue.\n\n**The Solution:**\n\nSolidroad provides AI agents for conversation training and quality scoring. Sales and support teams use Solidroad to **practice conversations with AI agents** through phone, email, chat, and video calls. Each interaction gets scored and is provided with tailored coaching and feedback.\n\nThe same **scorecards** can be applied to **real customer conversations**, spotting where teams need to improve. Solidroad agents replace manual role-playing and call/chat reviews by analyzing every single conversation—both practice and real ones. By integrating with tools like Intercom, Zendesk, and Gong, Solidroad ensures teams are continually improving in both training environments and live customer interactions.\n\n![uploaded image](/media/?type=post&id=86367&key=user_uploads/1146096/f728213e-9756-4bff-82be-d5a326213988)\n\nWe help teams:\n\n* Reduce onboarding time for new hires with conversation training in a risk-free environment.\n* Save trainer & QA time with automated, scalable coaching & feedback loops.\n* Improve team performance, leading to higher win rates and CSAT scores.\n\n![uploaded image](/media/?type=post&id=86367&key=user_uploads/1146096/45d164e0-c93a-4538-87cd-97f836c48df8)\n\n**About Us:**\n\nPatrick and I are both second-time founders and worked closely together at Intercom. Patrick would build cool tools at Intercom and I would then be the beta tester and try to sell them. One of these projects is still live 7 years on - <https://pages.intercom.com/mark> (I look a little younger in this video vs. the demo above 👴)\n\nI sold my last company, Gradguide, which was a graduate training and mentorship platform for students and grads. Before this, I was the Head of Sales for Chargify in EMEA and an early sales hire at Intercom.\n\nPreviously, Patrick co-founded Monaru (S2019), where we helped creators earn $100k+ selling live classes online during COVID. Before that, he was a product engineer at Intercom where he built tools for their sales and support use case.\n\n![uploaded image](/media/?type=post&id=86367&key=user_uploads/1146096/5f3d9707-48a0-4fb8-a9a0-8ec86568bc9e)\n\n**Our Ask:**\n\nIf you (or someone you know) are hiring 100+ reps/month for their sales or support teams and are having trouble with their go-live CSAT scores or ramp times, please reach out.",
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        "created_at": "2024-12-17T20:29:24.802Z"
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    "name": "ReJot",
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    "long_description": "ReJot is building Fragno to let API companies go from simply exposing an API to offering drop-in integrations that work out of the box.\r\n\r\nFragno is an open‑source framework for packaging backend endpoints, data storage patterns, and frontend utilities into reusable building blocks. API providers ship full integrations, not just low‑level SDKs and docs.\r\n\r\nCustomers configure rather than write code, so integrations are both much faster to launch and far more consistent across customers.",
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "year_founded": 2024,
    "city": "Amsterdam",
    "country": "NL",
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        "full_name": "Wilco Kruijer",
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        "founder_bio": "CEO & Co-founder at ReJot, previously worked on a distributed financial platform at Adyen. Interested in the relation between distributed data and software maintainability.",
        "is_active": true,
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      {
        "user_id": 2377112,
        "full_name": "Jan Schutte",
        "title": "Founder/CTO",
        "founder_bio": "CTO & Co-founder at ReJot, former Data Platform Engineer at Adyen, interested in distributed systems and database technologies. Current product is https://fragno.dev/",
        "is_active": true,
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        "title": "ReJot - Enterprise Synchronization Engine",
        "tagline": "Sync engine to share data across engineering teams in enterprises",
        "body": "Hey everyone, we're Wilco & Jan, co-founders of ReJot! We're building a sync engine that helps big companies share data across engineering teams. We increase developer velocity and, most of all, ensure companies are not forced onto Kafka when they don't actually need event streaming.\n\n<https://www.youtube.com/watch?v=Ulxmwrp_N5Q>\n\n# The Problem\n\nGrowing companies are forced to adopt micro-services as their desire to give engineering teams autonomy increases. The number one reported problem in this architecture paradigm is **data silos**. Silos create high coordination overhead when integrating data from other engineering teams, slowing down development and delaying product launches.\n\nThe industry has defaulted to event streaming platforms like Kafka to enable teams to share data asynchronously. As a result, enterprise software architectures are pushed into an event-driven model. However, events come with inherent complexity—they encode **something happening** rather than **something being** (i.e., state).\n\n**We believe that events are used for no good reason other than the infrastructure forcing developers onto them.**\n\n# Solution\n\nReJot is a **sync engine** that enables sharing data between back-end services without the need for APIs or event streaming. We break data silos without forcing a paradigm shift from state to events.\n\nWe do this in the following way:\n\n* **Familiar Querying:** by syncing database-to-database, ReJot allows engineers to query data from other teams **directly from their own database**. Developers use what they know best: SQL queries.\n* **Sharing Data:** We realize that internal database schemas are sacred, and they should never be public directly. ReJot provides strong **data-sharing primitives**, allowing data owners to control _what_ and _how_ data is shared. Simplicity is key—setting up data publications in ReJot is trivial.\n* **Integration Flexibility:** Downstream teams don't necessarily need data in the same shape as the original source. SQL queries are used once more to transform the data to fit the integrating team's needs.\n* **Data Catalog**: Integrating data is impossible without first understanding what data is available. Our system overview maps an enterprise's software architecture through its databases, allowing the user to explore and search schemas to uncover opportunities for deep integration between products.\n\n![uploaded image](/media/?type=post&id=88081&key=user_uploads/2356635/d80813fb-077e-4916-98f0-bae320ddd57c)\n\n_\\[This overview shows how accounts owned by the accounting team are made public and integrated into the banking database by means of the \"Accounts Consumer\" integration.\\]_\n\n# Launching Today\n\nToday, we’re excited to launch the **open-source** Limited Access Preview of ReJot!\n\nOur control plane doubles as a database catalog, providing a unified view of all data stores within your organization. Connect Postgres databases to document your system architecture.\n\nIn the coming weeks we'll be rolling out ReJot's synchronization functionality to select users. As we scale our infrastructure, more users will be onboarded.\n\n![uploaded image](/media/?type=post&id=88081&key=user_uploads/2356635/c2ee7761-283c-4064-af0e-44984f23320a)\n\n# The Team\n\nWe met nearly 10 years ago in Amsterdam where we studied Computer Science together, and have been friends ever since.\n\n* Wilco (CEO) worked as a software engineer on Adyen's banking infrastructure. During a period of high growth he worked on the internal ledgering system and a framework to sync bank account data throughout the company, which inspired ReJot. He also has a background in software maintainability research.\n* Jan (CTO) was a data platform engineer for Adyen's big data platform. There, he managed infrastructure for 600+ ETL pipelines created by 50+ teams that produced hundreds of terabytes of data every week. Jan is a published AI researcher.\n\nThrough a shared passion of modern software technology and reducing complexity in enterprise systems we connected the dots to create ReJot's sync engine.\n\n# The Ask\n\n* _🔗_ Share this post! Do you know of any organizations struggling with their distributed architecture? Reach out to us at [founders@rejot.dev](mailto:founders@rejot.dev) —we’d love to help!\n* ⭐️ Star us on [GitHub](https://github.com/rejot-dev/rejot), follow us on [X](https://x.com/rejotsync) & [LinkedIn](https://www.linkedin.com/company/rejot)\n* 📧 Sign up for our [newsletter](https://rejot.dev/email-updates/)\n* 🌐 Connect your databases & learn more: <https://rejot.dev>\n\n![uploaded image](/media/?type=post&id=88081&key=user_uploads/2356635/98e4ff65-8266-448c-a2c9-637da1065625)\n\n",
        "url": "https://www.ycombinator.com/launches/Muf-rejot-enterprise-synchronization-engine",
        "votes": 84,
        "created_at": "2025-02-26T21:55:32.444Z"
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    "id": 30278,
    "name": "Agentin AI",
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    "team_size": 2,
    "industry": "B2B",
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    "linkedin_url": "http://linkedin.com/company/agentin-ai",
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      "url": "https://www.ycombinator.com/people/harj-taggar"
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        "full_name": "Sankeerth Rao Karingula",
        "title": "Founder/CEO",
        "founder_bio": "Sankeerth is the Founder and CEO of Agentin AI, an AI research lab training foundation models to conduct original research.\n\nPreviously a Research Scientist at Google, he holds a PhD in Machine Learning from UC San Diego and studied Electrical Engineering at IIT Bombay.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sankeerthrao",
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        "id": 88196,
        "title": "Agentin AI - Training Foundation Models for Research",
        "tagline": "An AI research lab training models to conduct original research.",
        "body": "We are building foundation models designed to work on problems without known answers.\n\nOur goal is to train models that can explore ideas, form hypotheses, test approaches, and build on their findings to make new discoveries.",
        "url": "https://www.ycombinator.com/launches/MwW-agentin-ai-training-foundation-models-for-research",
        "votes": 11,
        "created_at": "2025-03-03T05:53:49.367Z"
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    "id": 30279,
    "name": "Bystreet",
    "slug": "bystreet",
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      "Vovana",
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    "website": "http://www.bystreet.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Identify and connect with the owners and key decision-makers behind 300,000+ hotels globally. Our customers include the world's leading hospitality firms: Marriott International, Choice Hotels, Wyndham Hotels & Resorts, Hotel Equities, and more. ",
    "one_liner": "Connect with hotel owners around the world.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1740115759,
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        "full_name": "Charlie Maki",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Bystreet. Harvard CS '23. Prev: Launched and scaled startup from $0 to $1M ARR and 10,000 paid users as founding engineer.",
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        "full_name": "Corey Anderson",
        "title": "Founder",
        "founder_bio": "CEO & Co-founder of Bystreet. \n",
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        "linkedin_url": "https://www.linkedin.com/in/corey-anderson-3875a11aa/",
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        "full_name": "Cameron Hake",
        "title": "Founder",
        "founder_bio": "Founder of Bystreet. Studied CS and data science at UW-Madison. Previously worked on sonar systems for the Navy.",
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        "linkedin_url": "https://www.linkedin.com/in/cameron-hake-651062194/",
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        "title": "Hotel Ownership & Contact Database",
        "tagline": "Your key to the hotel market. ",
        "body": "**TL;DR** Bystreet provides comprehensive intelligence on 16,000+ hotels across the Caribbean and Latin America — including ownership details, market insights, and key decision-maker contact information.\n\n![uploaded image](/media/?type=post&id=98045&key=user_uploads/1571157/bc0cda2c-623a-4b9e-9291-abb5b461a006)\n\nToday, we're launching Bystreet. The Caribbean and Latin American hospitality market is booming, and while many firms are eyeing the region for growth, most are still operating on thin intel, dated relationships, and boots on the ground. The problem is that hotel data is highly fragmented, and property ownership is often opaque.\n\nBystreet solves this with AI agents that extract and verify data from thousands of public, government, and offline sources to build the first structured identity graph of hotel properties, owners, and decision-makers across CALA. This removes the manual effort associated with finding qualified leads as a supplier, hotel brand/operator, or capital allocator looking to grow a presence across the region. Whoever owns the data owns the market.\n\nThe founders studied computer science and economics at Harvard and UW–Madison, did stints at hedge funds, sales at Datasite and Box, and built surveillance systems for the U.S. Government.\n\nFeel free to reach out with any questions/comments or book a demo here:[ https://cal.com/coreyanderson/30min](https://cal.com/coreyanderson/30min)\n\nThanks,\\\nCharlie, Cam, and Corey\n\n<https://www.bystreet.com>\n\nContact details: [founders@bystreet.com](mailto:founders@bystreet.com) or (650)387-4622",
        "url": "https://www.ycombinator.com/launches/PVN-hotel-ownership-contact-database",
        "votes": 13,
        "created_at": "2026-02-21T21:21:42.115Z"
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      {
        "id": 96152,
        "title": "Gowatch: AI Monitoring Platform for Businesses",
        "tagline": " Track competitors, customers, investments, and more.",
        "body": "**TL;DR** Monitor your market with AI agents. Keep track of buying signals, competitors, pricing pages, funding rounds, Luma events, the YC directory, and more with Gowatch. We’ll personally set up any monitors you want for free.\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/48345aa8-4bad-4798-a9e5-c0197dcb2b74)\n\n**Check out: [https://www.gowatch.ai/](https://www.gowatch.ai/)**\n\nToday we’re launching Gowatch. We use AI agents to search and monitor the web for anything important to your business and alert you the moment it happens. Modern businesses lack a complete picture of their market, and we provide them with complete clarity.\n\nFlow of the app:\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/ef31d104-cff5-4335-969a-a2bed7eac891)\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/cfa8a2bc-622c-4bb2-81bd-d60bc532b7ee)\n\nResults:\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/e0ff560b-6628-43be-abec-a870b73a91c3)\n\nWe studied economics and computer science at Harvard and UW–Madison, worked in private equity, GTM at Datasite and Box, and built surveillance systems for the U.S. Government.\n\nWe offer a very generous free trial, and we’d love for you to give it a shot.\n\nLet us know what you think or if you have any questions @ [**founders@gowatch.ai**](mailto:founders@gowatch.ai)\n\nThanks,\\\nCharlie, Cam, and Corey\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/cd0ab5e4-ea9d-4e5e-bfc3-9d97de796527)\n\n",
        "url": "https://www.ycombinator.com/launches/P0q-gowatch-ai-monitoring-platform-for-businesses",
        "votes": 25,
        "created_at": "2025-12-11T21:24:09.518Z"
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    "id": 30282,
    "name": "Riviera",
    "slug": "riviera",
    "former_names": [
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    "website": "https://www.withriviera.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Riviera builds AI Employees for Hotels. Our first agent is a hotel phone receptionist that lets hotels spend less time answering phone calls and more time helping customers. Our system handles front-desk inquiries, in-room dining orders, and reservations. It answers every question instantly and in any language, 24/7.\r\n\r\nWe are solving a problem that older phone systems and IVRs can't: customers hate not being able to talk to someone immediately, but most travel businesses can’t dedicate additional staff to manage phone lines. Voice AI has always seemed out of reach because the technology infrastructure in the travel industry is often fragmented, with reservation systems, loyalty programs, and in-house operations software that weren’t designed with voice AI in mind. Riviera addresses this by integrating seamlessly with existing software providers and using human-sounding voice models that are highly trained on data specific to each business type and department.\r\n\r\nHotels spend hundreds of billions annually on staffing and risk losing potential revenue when phone lines are overwhelmed or callers hang up. By enabling them to handle unlimited calls, day or night, Riviera unlocks additional revenue and eases labor challenges.\r\n",
    "one_liner": "AI Employees for Hotels",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1737322900,
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        "full_name": "Shaun Lane",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO at Riviera | UC Berkeley CS | Amazon Software Engineering Intern, previously ran a Travel Consulting/Content Creation Business",
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        "linkedin_url": "https://www.linkedin.com/in/shaun--lane/",
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        "full_name": "Daniel Tyshler",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder and COO at Riviera | Stanford CS | SpaceX Software Engineering Intern, software and product intern at startups in aerospace and health-tech",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-tyshler-b742b217a/",
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      {
        "id": 87705,
        "title": "Riviera: Multilingual AI Voice Agents For Hotels",
        "tagline": "Riviera lets hotels reduce staffing costs and improve the guest experience",
        "body": "**TL;DR**\\\nHotel guests hate not being able to talk to someone immediately, but hotels can’t afford more staff just to answer the phones. Riviera solves this with AI voice agents that provide 24/7 phone agents that speak any major language: answering guest questions, ordering room service, making reservations, and redirecting calls as needed.\n\n---\n\n### **The Problem**\n\nHotels spend over 100 billion dollars per year on staffing. Front-desk staff spend valuable time on phones instead of handling high-touch guest services. Meanwhile, guests frustrated by long waits or old IVR menus often hang up, leading to lost revenue and poor reviews.\n\n### **Our Solution**\n\nRiviera’s AI voice agents manage unlimited calls instantly. We integrate with property management systems, reservations, and ticketing software so guests can:\n\n* **Get quick answers** **about hotel services and policies**\n* **Order in-room dining and other amenities**\n* **Check availability and make reservations**\n\nRiviera has a human-sounding voice model trained on each hotel’s unique data to understand it better than any staff member ever could.\\\n<https://www.youtube.com/watch?v=2YOSlMHVKOM&ab_channel=Riviera>\\\n\\\n\\*\\*Want to see a live demo or talk pilots?\\*\\*\\\n\\\nYou can schedule a demo by visiting [**withriviera.com**](http://withriviera.com). Feel free to email me directly at [**shaun@withriviera.com**](mailto:shaun@withriviera.com).\n\n![uploaded image](/media/?type=post&id=87705&key=user_uploads/683820/c11e9839-f110-4546-902f-907840b8d6f4)\n\n![uploaded image](/media/?type=post&id=87705&key=user_uploads/683820/7e4c67a5-facf-41b1-9595-1605bcffdf14)\n\n",
        "url": "https://www.ycombinator.com/launches/Mob-riviera-multilingual-ai-voice-agents-for-hotels",
        "votes": 29,
        "created_at": "2025-02-14T23:57:29.263Z"
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    "name": "Confident AI",
    "slug": "confident-ai",
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    "website": "https://confident-ai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Confident AI provides enterprises an all-in-one platform to evaluate, observe, red team, and govern AI applications. Built by the creators of DeepEval (16k stars, 8m monthly downloads), Confident AI is able to offer battle-tested, open-source evaluation algorithms while providing the infrastructure needed for teams to stay confident their AI systems.",
    "one_liner": "The LLM Eval and Observability Platform for AI Quality",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1736794966,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "Open Source",
      "AI"
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    "batch": "Winter 2025",
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        "body": "Hey YC! We’re Viraat and Pranav – cofounders of Exla.\n\n![uploaded image](/media/?type=post&id=88090&key=user_uploads/2212412/6f2a4f23-207a-4ba8-84dd-1be1039c46f7)\n\n# **TL;DR**\n\nThe Exla SDK optimizes models for edge devices (e.g. NVIDIA Jetsons), **cutting memory usage by up to 80%, with 3-20x faster inference**. We’re focusing on optimizing and deploying **LLMs, VLMs, VLAs, and other CV models** on the edge.\\\n[Here’s Viraat showcasing our SDK](https://www.loom.com/share/d8fbb4faef87493c9806610fff6ff86c?sid=10b54831-159b-4157-95b7-8b9f7a5c8d8e)\n\n# **‼️ The Problem**\n\n**Frontier models are unlocking new applications on constrained edge devices** – Vision-Language Models in manufacturing defect detection, Vision-Language-Action Models to control robots via natural language, and LLMs to power in-car assistants are a few examples.\n\n**But these** **models are now shy of a _trillion_ parameters**, and with the emergence of inference-time scaling, **they are more computationally demanding than ever**. This limits their adoption to edge devices with beefy GPUs and sufficiently large VRAM, and even then, a Jetson Orin Nano Super is completely saturated attempting to run a 13B model, leaving little room for other tasks.\n\n# **🏎️ The Solution: The Exla SDK**\n\n**We’re building mixed-precision low-bit quantization software** to dramatically cut the compute footprint of these models, leading to **80% less memory usage, 3-20x faster inference**, and reduced energy consumption.\n\n**Today we’re starting with the Exla SDK** which applies our optimizations to a catalog of transformer-based and CV models, with growing support for your custom models. We’re primarily targeting deployment on NVIDIA Jetsons, followed by CPU-based platforms like Raspberry Pis and other embedded platforms.\n\n![uploaded image](/media/?type=post&id=88090&key=user_uploads/2212412/68c46641-ffb9-4dc9-a0a0-8facdba4e132)\n\nOur roadmap includes building custom silicon that takes advantage of the quirks of low bit compute – which we expect to bring in another order of magnitude in compute savings. _We’re bringing frontier models everywhere._\n\n# **🥷 The Team**\n\nWe met each other on the first day of college under questionable circumstances and have built several projects together since. Exla is the latest in that series!\n\n[Viraat](https://www.linkedin.com/in/viraatdas/) graduated in 2.5 years and joined Amazon as machine learning engineer, where he worked on building personalized search and infrastructure to optimize models. In a previous life, he used to marathon around the world. Now he marathons at home, coding.\n\n[Pranav](https://www.linkedin.com/in/pranavnair311/) previously worked at Apple as an OS engineer, hacking the iOS/macOS kernel to improve the sleep/wake experience for over a billion devices. In his non-existent free time, he tends to his 5 year old baby – an operating system he’s built from scratch.\n\n# **🙏 Our Ask!**\n\nPlease reach out to [**founders@exla.ai**](mailto:founders@exla.ai) if you’re facing issues optimizing your models on Jetsons, other edge devices, or on-prem deployments! We’re happy to onboard you to our private beta.\n\nWe’re particularly looking to solve model optimization at companies working on robotics, manufacturing & industrial automation, and camera-based systems – your help would make a world of difference <3",
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        "tagline": "Advancing game development through frontier AI research.",
        "body": "Hey YC,\n\nWe’re Ben, Brian, and Sejoon from **Nitrode.**\n\nNitrode is a research company focused on improving game development with AI. \n\n**The Problem - How do we advance game development with AI?**\n\nWe started by building an AI game engine. It got to [**#3 on Product Hunt**,](https://www.producthunt.com/products/nitrode-ai-game-engine) and we gained several useful insights:  despite recent progress in agentic coding, game development remains uniquely difficult for AI models because it requires **(1) strong spatial reasoning**, **(2) reliable tool use/tool-calling**, **(3) strong agentic coding capabilities** and the **(4) ability to operate in real-time environments for complex games**.\n\n**The Solution** \n\nTo advance game development, we believe AI models firstly need to be judged against robust evaluation frameworks that reflect the **actual complexity of the field.** Over the coming months, Nitrode will open-source a suite of benchmarks designed to measure where AI models truly stand in game development. Our first benchmark, [**GameEngineBench**,](https://arxiv.org/abs/2607.03525) evaluates agentic coding performance on C++ game engine tasks in real runtime environments.\n\n![uploaded image](/media/?type=post&id=104921&key=user_uploads/1654263/a084ce2c-86d5-431b-97a1-d2ccf07b3f04)\n\nOur results are clear: model class and reasoning effort are strong predictors of performance, while model rankings align more closely with spatial reasoning benchmarks than with traditional agentic coding benchmarks. **This suggests that game development is fundamentally different from pure coding.** Success requires not only writing correct code, but also understanding space, tools, runtime behavior, and the interaction between systems.\n\nWe also observe significant complementarity across frontier models, indicating that different models exhibit distinct strengths within the game development task space. Mythos/Fable-class models point toward a potential step change in AI game development capability, where improved spatial understanding and stronger tool use combine to produce emergent behaviors that older model generations struggle to match.\n\nOur benchmark has revealed clear model-specific performance gaps across game development tasks, with outcomes that diverge meaningfully from standard agentic coding benchmarks.\n\nWe are also building [Mint](http://mint.nitrode.com), a platform that onboards game development experts to work on custom datasets. Think engine programmers, technical artists, and developers with years of enterprise/indie game development experience. We already have hundreds of contributors across game development and creative software. Whenever you need a certain type of data, we construct and lead a team to produce:\n\n* Post-training /SFT data captured from real workflows: how developers actually build, debug, test, and iterate inside engines and creative tools.\n* RL environments and executable tasks where models learn through execution and feedback.\n* Custom benchmarks and post-training for gaming enterprises: we pinpoint where models fail on real game development tasks, then post-train a custom model to close those gaps.\n\n**Team** \n\nBen and Brian studied Information Science and Computer Science at Cornell, while Sejoon studied Computer Science and Product Design at Stanford. The trio has been building things together for the last six years, from a sports team analytics tool to Nitrode, and are, unsurprisingly, massive gaming nerds. Sejoon is top 400 in the world at moving GeoGuessr and a certified Civ sweat, Brian is ranked in Tetris, and Ben used to be ranked in Minecraft speedrunning.\n\n**Our Ask:**\n\n1. If you need custom datasets or evals, let us know! Email us [research@nitrode.com](mailto:research@nitrode.com)\n2. Are there any creative or gaming companies you could introduce us to?\n\n**Thank you!**",
        "url": "https://www.ycombinator.com/launches/RIH-nitrode-advancing-ai-for-game-development",
        "votes": 10,
        "created_at": "2026-07-07T15:17:58.603Z"
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    "name": "Calltree",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Calltree makes enterprise-grade AI support reps for call centers. Our AI reps take voice calls and chats like other AI support agents but can also use internal enterprise tools like a homegrown CRM or internal dashboards, like the highly trained humans working there today.",
    "one_liner": "Enterprise-grade AI support reps for call centers",
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    "industry": "B2B",
    "subindustry": "B2B",
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        "user_id": 73858,
        "full_name": "Kun Qian",
        "title": "Founder/CEO",
        "founder_bio": "Kun, co-founder and CEO of Calltree AI, previously a product leader at AWS where he focused on contact center solutions. During his tenure, he built and scaled multiple product lines that achieved tens of millions in ARR. Drawing from deep insights into contact center operations and analytics, Kun co-founded Calltree AI to empower contact centers with the data-driven insights they need to optimize operations and reduce costs.",
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        "user_id": 818746,
        "full_name": "Robertson Taylor",
        "title": "Founder/CRO",
        "founder_bio": "Worked on applied multimodal AI with large enterprises at Marqo. Worked on ML for high cardinality anomaly detection that was deployed into fortune 100 companies and banks while at AWS. Led platform teams at Hopper. Georgia Tech CS grad, worked on HPC research.",
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        "id": 88609,
        "title": "AI Operations Analyst",
        "url": "https://www.ycombinator.com/companies/calltree/jobs/qNST1yz-ai-operations-analyst",
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        "equity_range": "",
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      {
        "id": 87336,
        "title": "Calltree - AI Agent That Optimizes Enterprise Call Center Workflows",
        "tagline": "AI operations analyst for enterprise call center workflows",
        "body": "TLDR: Cutting just 1 second off each customer call can save enterprise call centers millions of dollars. Calltree helps enterprises' VP of Operations understand how to make their call center more efficient. Our AI agent analyzes millions of minutes of call center recordings to find inefficiencies in workflows and quantifies the cost of each action. For example, when a rep is handling a credit card dispute, Calltree can identify that reps spend 30 seconds per call on manual data gathering and data entry, propose a solution, and measure the opex savings. Calltree surfaces these insights in an analytics tool and generates reports, making it easy for operation leaders to build business cases to prioritize improvements, realizing millions in opex savings.\n\nAsk: If cutting every second matters to your call center, please email us [kun@calltree.ai](mailto:kun@calltree.ai) and [rob@calltree.ai](mailto:rob@calltree.ai) or [book a demo here.](https://calendly.com/kun-calltree/30min) \n\n[Checkout our launch video!](https://youtu.be/v-9hFgH_gCI)\n\n**The Problem**\n\nLarge enterprises track every second of a phone call because **reducing average call time** can save millions of dollars each year. However, enterprises don't have a scalable way to find these inefficiencies. Manual time studies (in person shadowing call center reps, etc.) are tedious, unscalable, and expensive. \n\n**What Are Screen Recordings?**\n\nMany contact centers don’t just record the audio of customer calls; they also capture **everything the rep does on their screen** for training, compliance, and quality assurance. **Less than 1% of these screen recordings** are ever reviewed by a manager or analyst and **miss 99% of calls**. This leads to blind spots and missed opportunities for massive cost savings.\n\n**Our Solution**\n\n* **AI agent that finds workflow inefficiencies** (e.g., toggling between multiple systems to complete a single task).\n* **Quantify the time and cost** of each action (e.g., “Switching between these five legacy apps costs 20 seconds per call → $5M/year”).\n* **Operation leaders use these insights** to build quick business cases to fix inefficiencies. After changes are implemented, Calltree measures the impact pre- and post-fix to **prove cost reductions**.\n\n**Our team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdf17k-TMCzITHR-cAuUjxmf1XRQMpsQRvVeVslxQKILE2Jv6xHq2NSXtJWSM1WyEDXZBON4FJ1U7A77AKzZt7VvkUe7HGq8ozwJT3lf8O4nUgM8CwHtfhZ60iIsEanYT077wTjFA?key=5B91WL3MPEXhLdY8htNQCHC6)\n\n* **Kun** led product at AWS’ contact center solution, working with hundreds of large enterprises such as Capital One, Intuit, and Adobe.\n* **Rob** specializes in multimodal search for video and audio, previously helped companies like Walmart and Etsy fine tune embedding models.\n* After seeing how **little** of these screen recordings ever got analyzed—despite their huge potential value—we decided to automate that process end-to-end.\n\n**Our Ask**\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/calltree-ai), and [book a demo](https://calendly.com/kun-calltree/30min) with our team.\n* Share this post! -  Do you know anyone in your network who is a VP of Operations, VP of call center operations, VP of Contact Center? Please share this post (or our demo video below!)\n* Learn more at [calltree.ai](https://calltree.ai)",
        "url": "https://www.ycombinator.com/launches/Mie-calltree-ai-agent-that-optimizes-enterprise-call-center-workflows",
        "votes": 23,
        "created_at": "2025-01-31T19:55:57.857Z"
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    "name": "Sherpa Labs",
    "slug": "sherpa-labs",
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    "year_founded": 2025,
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    "country": "US",
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        "full_name": "Justin Jiang",
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        "founder_bio": "Building frontier RL data pipelines @ Sherpa Labs. Ex-research scientist from Surge, ex-quant researcher from Millennium, Vatic, Optiver, working on medium frequency statistical arbitrage and high frequency trading algorithms. Data scientist at FedEx and Tradeweb. Graduated from Harvey Mudd with a double BS in Math and CS.",
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    "name": "Tire Swing",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Tire Swing uses AI to power resident and applicant eligibility evaluations for affordable housing.\r\n\r\nOur software manages the resident certification and recertification process end-to-end for public and private properties supported by Project Based Rental Assistance, Low Income Housing Tax Credit, and Housing Vouchers. It serves as a drop-in replacement for third-party consultants and auditors, and helps compliance staff complete their work faster and more accurately. ",
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    "launched_at": 1740473580,
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        "full_name": "Paul Witten",
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        "founder_bio": "Cofounder/CEO Tire Swing\n\nPreviously Senior Consultant at Stroz Friedberg where I led cybersecurity investigations involving Advanced Persistent Threats, Nation States, and Ransomware. I led the memory forensics working group and was a member of the malware analysis working group.\n\nGraduated from Princeton with a Bachelors in Computer Science 2019\n",
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        "full_name": "Lucas Irvine",
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        "founder_bio": "Co-founder Tire Swing (W25)\n\nPreviously a Senior Software Engineer for Instacart, where I worked on everything on the front page of Instacart. Before that worked at Capital One on the open-source rules engine Cloud Custodian.\n\nGraduated from Princeton with a Bachelors in Computer Science in 2019.",
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      {
        "id": 108324,
        "title": "Tire Swing - AI Compliance for Affordable Housing",
        "tagline": "The AI platform for Affordable Housing operators to review and qualify applicants and residents",
        "body": "Hi! We are Lucas and Paul, cofounders of Tire Swing: the AI compliance platform for Affordable Housing.\n\n<https://youtu.be/x4qyhXXz38I>\n\n## **The Problem**\n\nEvery Affordable Housing move-in and recertification requires applicant income verification and a strict eligibility review. In addition to the high labor costs and regulatory burden, delays in reviewing applications and thoroughly screening applicants can cause weeks of lost rental revenue.\n\nLost revenue on a single move-in can accumulate to thousands of dollars, and penalties for non-compliance can cost millions in credit recaptures and fines.\n\n## **The Solution**\n\nTire Swing uses AI to bring compliance expertise to the point of leasing. It turns weeks of reviews and approvals into a minutes-long process. The platform:\n\n* **Reviews evidence as it is collected.** Tire Swing processes documentation in minutes, allowing problems to be addressed before the applicant leaves the office.\n* **Performs the eligibility analysis.** It calculates household income, applies all applicable property, state, and program eligibility rules, and links every finding to its supporting evidence.\n* **Automates certification compliance.** Tire Swing flags missing, inconsistent, or incorrect information with steps to resolve the problem from a library of thousands of deterministic and AI driven compliance checks.\n\n**Tire Swing means faster move-ins and recertifications, reduced consulting budget, and more consistent, audit-ready files.** \n\n## **Looking ahead**\n\nWe believe Affordable Housing is the first application of a much larger needs-based eligibility opportunity. Federal, state, and local governments distribute more than $1.5 trillion annually through needs-based programs including Medicaid, SNAP, TANF, utility assistance, and tax credits.\n\nThese programs share a common underlying workflow: collect documents, convert them into structured facts, apply eligibility rules, and resolve missing or contradictory information.  The administration costs for these services are approximately $20B annually.\n\n## **The Team**\n\nTire Swing is founded by Paul and Lucas, college friends and Princeton computer science graduates. Prior to founding Tire Swing, Lucas worked as a software engineer at Instacart and Capital One, and Paul worked as a cybersecurity consultant at Stroz Friedberg.\n\n![uploaded image](/media/?type=post&id=108324&key=user_uploads/990814/102ac484-df2c-4314-a766-c778a91c6b50)\n\n\n## **The Ask**\n\nWe would appreciate introductions to Affordable Housing property managers, developers, public housing authorities, and state housing agencies.\n\nPlease feel free to reach out at [**paul@gettireswing.com**](mailto:paul@gettireswing.com).",
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    "name": "Mesh",
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        "title": "Sennu AI: AI Code Review for Salesforce Development",
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        "body": "# **Problem**\n\nSalesforce code reviews often take days to merge and often contain Salesforce specific bugs that are hard to catch.\n\n---\n\n# **Solution**\n\nSennu AI is an AI code reviewer built for Salesforce. It automatically reviews every pull request using Salesforce best practices and full context of your custom Salesforce org just like how a senior Salesforce architect would. Sennu AI leaves actionable in-line PR feedback so Salesforce dev teams can merge code faster and ship fewer bugs.\n\nQuick demo: [**https://www.youtube.com/watch?v=t1PV8OizUms**](https://www.youtube.com/watch?v=t1PV8OizUms)\n\n---\n\n# **Who We Are**\n\nWe’re Sukhjit & Sriman, best friends who have been building together since high school. We are Salesforce certified devs who grew up around Salesforce consulting and have felt the pain in writing & reviewing Salesforce code firsthand.\n\n![uploaded image](/media/?type=post&id=96202&key=user_uploads/990840/22bca36a-830b-4911-998d-3d8aa33c44ac)\n\n---\n\n# **Our Ask**\n\nIf you have Salesforce devs working on your Salesforce instance, we would love to talk to you.\n\nBook a demo here if you are interested: [**https://calendly.com/d/cwq3-bw8-cr4**](https://calendly.com/d/cwq3-bw8-cr4) or reach out at [sriman@sennu.ai](mailto:sriman@sennu.ai)",
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        "title": "Sennu AI: Hands off Salesforce QA",
        "tagline": "AI QA Engineer that tests your Salesforce just like a human",
        "body": "### **Problem**\n\nTesting Salesforce is an absolute pain - countless hours are spent either testing functionality manually or writing tests in a no code framework.\n\n---\n\n### **Solution**\n\nSimply link your sprint board and our AI Salesforce QA Engineer generates test cases and executes them exactly like a human using browser automation. This entire experience is fully hands off - no setup needed except linking your Jira and Salesforce sandbox environment.\\\n\\\nBenefits of this approach\n\n* Get started in less than 5 minutes\n* All tests written in plain English\n* Can run 100s of tests at the same time\n\nQuick demo: [**https://youtu.be/PdPoNmbbsw0**](https://youtu.be/PdPoNmbbsw0)\n\n---\n\n### **Who We Are**\n\nWe’re Sukhjit & Sriman—best friends who have been building together since high school. Sriman grew up working at his parents‘ Salesforce consulting firm and saw the difficulties of Salesforce QA first hand. We’re both also Salesforce certified and have the scars from hand testing functionality at 3 am.\n\n![uploaded image](/media/?type=post&id=91696&key=user_uploads/990840/92ce3911-6f22-4474-9dfe-d354fbd19016)\n\n---\n\n### **Our Ask**\n\nIf you are a Salesforce partner that is spending hours a week on QA, we would love to talk to you.\\\nAdditionally, if you are a company with dedicated internal Salesforce admins or devs working on your Salesforce instance, we would to help your team.\\\nFeel free to book a meeting here: https://calendly.com/d/cwq3-bw8-cr4 or reach out at sriman@sennu.ai",
        "url": "https://www.ycombinator.com/launches/Nqy-sennu-ai-hands-off-salesforce-qa",
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        "title": "Sennu AI - AI Sales Agent for Tech Consulting Firms",
        "tagline": "We help tech consulting firms find leads on autopilot",
        "body": "**Hey everyone! We’re Sukhjit and Sriman, co-founders of Sennu AI (W25).**\n\n## The Problem\n\nTech consulting firms offer a suite of deeply technical services (SAP S/4HANA migrations, AWS Redshift implementation) with large contract sizes ($100,000-$1,000,000+). Sales representatives at these firms struggle due to a lack of technical knowledge leading to ineffective outbound, inaccurate estimates on pricing, and lost deals. AI has only made this problem worse as SDRs face an increasing number of new unfamiliar services to sell (Agentforce, Microsoft Copilot Studio) and rapid changes in recent years have rendered historical pricing unreliable for many technical services.\n\n## The Solution\n\n**Sennu AI** is our answer to this problem: we provide an **AI SDR** purpose-built for tech consulting companies. Instead of juggling multiple tools and outdated workflows, Sennu AI autonomously:\n\n* **Creates targeted outbound campaigns** based on your specific offerings\n* **Sources leads** from across the web, qualifying them through extensive research\n* **Crafts personalized emails** with a deep understanding of each prospect’s business needs\n* **Syncs seamlessly** with your existing CRM or workflow\n\nAll with just one click. By leveraging context on all your previous projects combined with comprehensive business & technical expertise, we’re ensuring that our AI agent sends the most compelling outbound possible to every lead at scale.\n\n<https://www.youtube.com/watch?v=Z0zTwhxxW3Y>\n\n## Backstory\n\nGrowing up in a tech consulting family, I (Sriman) experienced firsthand the challenges of running a project-based business, especially a technical one. The lack of recurring revenue meant that sales was an ongoing challenge to keep the lights on year after year. I saw in the previous technology shift how sales reps were left struggling from the radical shift from on-prem to cloud leading to unsuccessful outbound, mistakes in sales calls, and frustrated teams. We aim to prevent the same thing happening again during this shift to AI by solving sales and host of other problems that impact project based businesses.\n\n## Our Team\n\nSukhjit and Sriman have worked together for over a decade having been debate partners in high school, starting our own tutoring business out of our college dorm, to even interning together at Brex. With strong technical backgrounds—Sukhjit at Brex and Sriman at Confluent—they’re now channeling their expertise into solving a problem that directly affects their own parents, a mission they’re both deeply passionate about.\n\n![uploaded image](/media/?type=post&id=87149&key=user_uploads/1939169/60643d7e-51cc-4ed4-a495-afd71b8c2851)\n\n## Our Vision\n\nWe believe that in the next 10 years humans will no longer be the central processors of information but rather strategic overseers who provide high-level direction. A future service based business will operate as an ecosystem of AI workers that handle all end to end business operations. Sales is just the beginning - at Sennu AI we plan to lead the transformation of service based businesses into the AI age.\n\n## Asks\n\nIf you are a tech consulting firm interested in more leads\n\n* book a demo [here](https://calendly.com/d/cqrg-cr5-7ks)\n* reach out at [sukhjit@sennu.ai](mailto:sukhjit@sennu.ai)",
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        "body": "### **TL;DR**\n\nLost knowledge is lost productivity.\n\nPeppr AI turns scattered company data into a living, self-improving knowledge hub to fuel faster decisions across your organization. Through this, Peppr ensures that **no matter** **how much your team scales in size, it can still operate with the same speed as the leanest startups.** \n\n**The Problem**\n\nAs companies scale, their teams inevitably grow—and so does their information. Projects multiply, contacts proliferate, and goals stack up. Critical details sink into buried Slack threads, outdated Confluence docs, and a myriad of PM tools. This not only leads to incessant handoff meetings and endless email threads, but **90% of critical knowledge remains undocumented (in large U.S. businesses) due to inefficient knowledge-sharing.**\n\n### **Our Solution**\n\nPeppr AI is built to solve these deep-seated knowledge bottlenecks.\n\n**Unlike tools that rely on employees manually documenting what they do (which we all know they don’t ;)**, Peppr autonomously captures critical insights hidden in engineering workflows—surfacing the knowledge that typically goes undocumented.\n\n[Peppr AI Demo](https://youtu.be/toz3hokheXs)\n\nBy **autonomously ingesting data** from key platforms, Peppr:\n\n1. **Auto-Generates Internal Documentation**\n   * Creates synthesized summaries of daily activity from Slack, Notion, Jira, etc., keeping everyone up to speed.\n2. **Offers Intelligent, Real-Time Insights**\n   * Pinpoints blockers in projects and recommends intelligent workflows or POCs (Points of Contact) to resolve them.\n3. **Develops “Virtual Employee Minds”**\n   * Retains institutional knowledge, so when employees leave or are away, their expertise doesn’t have to be waited on and doesn’t walk out the door with them.\n4. **Supercharges Existing AI Tools**\n   * Empowers AI tools like Cursor and Glean with the most advanced, continuously updating knowledge base, enabling them to operate with deeper context and greater accuracy.\n\n![uploaded image](/media/?type=post&id=87684&key=user_uploads/1481983/ea6c5c9c-368e-451e-978b-fd817e630b03)\n\nOur ‘virtual employee’ dashboard doesn’t just track productivity—it unlocks hidden insights, revealing impact and expertise across the org in real-time.\n\n![uploaded image](/media/?type=post&id=87684&key=user_uploads/1481983/11f1a5c2-30bf-4cb9-8404-bf369d4b9ebe)\n\nA command center for execution—Peppr’s team-wide dashboard pinpoints roadblocks, suggests the fastest resolutions, and ensures work never stalls.\n\n### **Why It Matters**\n\nIn the perfect information system, no one wastes time hunting for answers, waiting for replies, or sitting through redundant meetings. **Unfortunately, for most organizations today, it's the opposite.** \n\nEngineers get blocked searching for past solutions instead of shipping faster. Managers struggle with visibility. Teams waste hours trying to align.\n\n**Peppr changes this.**\n\nUnlike other AI-powered tools, which only surface information that employees have manually written down, **Peppr AI captures and records the knowledge that never makes it into documentation** – so work moves forward instead of in circles.\n\nAnd because every productivity tool, AI agent, and search system is only as powerful as the data it relies on, Peppr doesn’t just unify knowledge—it supercharges all your existing systems. **Like an internal Scale AI**, it continuously organizes, refines, and contextualizes your data, ensuring every one of your organization’s systems operates at peak efficiency. **No bottlenecks. No blind spots. Just pure execution at startup speed—no matter how big you grow.**\n\n### **Our Ask**\n\n* **Connect us to Series B+ Startups and Enterprise Teams (30+ Employees)** that are struggling with growing silos, inefficiencies, and lost productivity.\n\n![uploaded image](/media/?type=post&id=87684&key=user_uploads/1481983/3a659f02-da4d-469a-8d8c-f97a632545a2)\n\n",
        "url": "https://www.ycombinator.com/launches/MoG-peppr-ai-the-world-s-first-ai-powered-knowledge-capture-platform",
        "votes": 109,
        "created_at": "2025-02-14T01:03:46.661Z"
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    "name": "OpenIntake",
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    "website": "https://www.openintake.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "OpenIntake boosts law firm revenue by converting callers into clients 24/7.",
    "one_liner": "The AI Front Door For Law Firms",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1739319968,
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        "user_id": 2375948,
        "full_name": "Yash Sahota",
        "title": "Founder",
        "founder_bio": "Co-founder of OpenIntake, the AI front door for law firms.\n\nBefore OpenIntake, I was a product security engineer at Slack and a consultant at McKinsey & Company.\n\nCornell CS '20",
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        "user_id": 2371405,
        "full_name": "Grayson Pike",
        "title": "Founder",
        "founder_bio": "Co-founder of OpenIntake, the AI front door for law firms..\n\nBefore OpenIntake, I was a consultant at McKinsey & Company and a back-end tech lead at a hedge fund.\n\nUniversity of Texas at Austin class of '21 🤘",
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        "id": 87973,
        "title": "TripleZip - AI for Commercial Real Estate Accounting 📊",
        "tagline": "Commercial property accounting in minutes, not months.",
        "body": "**TLDR:** TripleZip automates complex accounting tasks for Commercial Real Estate firms, cutting admin costs and lowering legal risk.\n\n**Demo:** <https://www.youtube.com/watch?v=epLN4pXpcTU>\n\n**❌ The Problem: Expensive and error-prone accounting**\n\n* CRE firms pay $$$ for lawyers to manually extract data from their leases\n* Then they pay $$$ for accountants to reconcile tenant accounts\n* The whole process takes 3+ months & often has costly errors.\n\nWe learned about the problem from our parents, who own commercial real estate in San Antonio, TX. After trying existing CRE accounting software, we found that the entire process relied on error-prone manual entry and expensive consulting services.\n\n**✅ Our Solution: Replace manual entry with AI**\n\n* TripleZip extracts data from leases with AI (more accurately than humans)\n* TripleZip feeds that data into an accounting engine which reconciles accounts instantly\n* Done in <1 day, 10X cheaper than hiring a consultant or service firm\n\nWe’ve started by automating the most complex part of CRE accounting: Triple-net (NNN) reconciliation. This process accounts for up to 1/3 of the accounting effort for a large CRE firm and often results in expensive human errors and audits.\n\nBy reducing the overhead costs of accounting and avoiding costly audits related to NNN reconciliations, we aim to improve our customer’s margins by as much as 25% percent.\n\n**Our Team**\n\n![uploaded image](/media/?type=post&id=87973&key=user_uploads/2371405/6fe9a40c-dc81-438e-8c4b-76a5bbebf00d)\n\nGrayson and Yash are close friends who have collaborated on software projects since they met in middle school. Since then, they have worked together as consultants at McKinsey & Company in New York.\n\nMost recently, Grayson was a back-end tech lead at a hedge fund and Yash was a security engineer at Slack while helping with his family’s commercial real estate business.\n\nYash earned a B.S. and an M.Eng. in Computer Science from Cornell in 2020.\n\nGrayson earned a B.S. in Computer Science from the University of Texas at Austin in 2021.\n\n**Our Ask**\n\n* **Do you know someone who works in Commercial Real Estate?** We’d love to meet them! Please reach out at [founders@triplezip.ai](mailto:founders@triplezip.ai) \n* **Do you manage commercial real estate?** We’d love to chat! Contact us at [founders@triplezip.ai](mailto:founders@triplezip.ai)",
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        "created_at": "2025-02-24T20:59:43.717Z"
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        "full_name": "James He",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Artificial Societies. Ex-Cambridge computational social science. Ex Yonder.\n\nAt 16, James was offered $600k to fund his ed-tech startup but chose to attend Cambridge instead. After graduating, James turned down a PhD offer to join Yonder - a credit card startup - and built the entirety of their lending ML systems. He then started his own scholarship at age 21, and led the largest-scale study of an LLM society in his spare time. He co-founded Artificial Societies in Oct 2024.",
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        "full_name": "Patrick Sharpe",
        "title": "Founder/CPO",
        "founder_bio": "Leading Product at Artificial Societies. Background in applied behavioural science.\n\nPatrick completed an MSc in behavioural econ, and left academia to lead behavioural science and CX projects at iptiQ - an insurtech startup owned by Swiss Re, the largest Reinsurer in the world. He joined Unconventional Wisdom, a specialised behavioural science consultancy, and scaled the client-base 3x within a year, before co-founding Artificial Societies in 2024.",
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        "title": "Artificial Societies",
        "url": "https://www.forbes.com/profile/artificial-societies/",
        "date": "Apr 30, 2026"
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        "title": "Artificial Societies Raised a $5.35 Million Round With This Deck - Business Insider",
        "url": "https://www.businessinsider.com/artificial-societies-seed-funding-pitch-deck-y-combinator-2025-8",
        "date": "Aug 27, 2025"
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      {
        "id": 88102,
        "title": "Artificial Societies - Simulate High-Value Audiences",
        "tagline": "We help enterprises test high-stakes marketing & comms decisions.",
        "body": "Hello World, we’re [James](https://www.linkedin.com/in/james-k-he/) and [Patrick](https://www.linkedin.com/in/sharpe-patrick/) - founders of Artificial Societies 👋\n\n**We simulate 1000s of stakeholders and how they react to information.** We help Fortune 500 enterprises simulate how their most important audiences - policy influencers, investors, buyer committees, etc. - react to their most important marketing and comms decisions. Find out more at [**societies.io**](http://societies.io).\n\n# **Our Story**\n\nWe’re both behavioral scientists, but took different paths - James used machines to predict humans, while Patrick ran experiments in large organizations.\n\nIn 2023, James started tinkering with a crazy idea: what would a society of 33,000 AI bots look like? He wrote this into the first-ever large-scale [academic study](https://societies.io/pdfs/bjop-2025-ai-chatbots-collective-behaviour.pdf) on AI societies, and started turning it into a product.\n\nOne day in a London coffee shop in 2024, James used a simulation to recreate an experiment Patrick had spent two months on… in just ten minutes. That same week, Patrick quit his consulting job to co-found Artificial Societies with James.\n\nWe started by simulating a network of 1,000 VCs, and used it to raise a pre-seed and get into YC. Next, we built Reach, a tool that let anyone create an AI simulation of their own LinkedIn audience, to test posts before hitting publish. \n\nNow, we are focusing on enterprise customers and consulting partners who are demanding us to build a more exceptional technology:\n\n# **Introducing Radiant**\n\nWe help marketing and strategic comms teams build bespoke AI simulations of high-value audiences, for insights on questions no one else can answer.\n\nRadiant has already delivered over 18 million responses to global F100 enterprises, that helped shape over 100 million dollars’ worth of decisions ranging from [investor relations](https://societies.io/investor-communications-simulation), [high-value advertising](https://societies.io/advertising-testing-with-ai), [crisis communications](https://societies.io/crisis-communications-simulation), [reputation management](https://societies.io/reputation-management-simulation), and [corporate strategy positioning](https://societies.io/corporate-strategy-simulation).\n\n**Here’s [Radiant in action](https://www.linkedin.com/posts/james-k-he_anthropic-gambled-millions-on-their-superbowl-activity-7426611068254322688-fyEq?utm_source=share&utm_medium=member_desktop&rcm=ACoAACk3-R4BvvNrRdti8qSJ9yH6XurA_LAGBoc).**\n\nTo power Radiant, we’ve built over 2.5 million AI personas that are all grounded in real human behaviour – not just what people say, but also what they do, and who they are influenced by. \n\nBut our enterprise partners choose us not just because we have achieved 1) [95% distribution accuracy](https://societies.io/publications) against human self-replication, and 2) 90% persona internal coherence, both on [empirically and theory-grounded evaluations](https://societies.io/how-accurate-are-ai-personas).\n\nMore importantly, they choose us because of our ability to deliver impossible research projects - such as having insights backed by millions of responses within 24 hours, such as being able to test sensitive strategies on high-value audiences with 100% security, without human risk.\n\n# **What’s next?**\n\nOur vision of Artificial Societies is a **Societal World Model** that enables infinite experimentation, so that every organisation can have awareness of outcomes, before making a decision. \n\nNo planes fly without a wind-tunnel; no medicines are approved without clinical trials; and yet, the biggest decision societies face today are taken as bets. \n\nWe see Artificial Societies as a historically inevitable technology, and see it as our lives' mission to bring it to life.\n\n### **Our Ask 🙏**\n\n**We are rolling out Radiant at marketing & comms teams globally.** If you are someone / know someone who lead strategic comms consultancies or enterprise marketing firms, please reach out or introduce us at [founders@societies.io](mailto:founders@societies.io).\n\n![uploaded image](/media/?type=post&id=88102&key=user_uploads/2143774/711fccb2-d4a1-4c35-9e7f-8ccb2cbafbe0)\n\n![uploaded image](/media/?type=post&id=88102&key=user_uploads/2143774/4e5884e4-64c7-4285-9658-a5c9f0b1b2e2)\n\n",
        "url": "https://www.ycombinator.com/launches/Mv0-artificial-societies-simulate-high-value-audiences",
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        "created_at": "2025-02-27T07:01:30.111Z"
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    "id": 30301,
    "name": "Fuse AI",
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our mission is simple - make the best companies and sales professionals 5X better and build a platform that everyone actually enjoys using. We're building for user experience and productivity so your best reps can close $5M in deals annually vs. the traditional $1M target for SaaS companies. We've started with outbound sales, but will be expanding to other GTM verticals across inbound sales, revenue operations, account management, and marketing. As we expand our AI-agents across GTM operations roles, our platform will drive significant savings for companies without the need to have huge support functions for roles such as: technical systems analysts, revenue operations professionals, and deal desk analysts with most of their redundant activities automated. The total market opportunity is 1+ trillion for developing a new type of software interface embedded with vertical AI agents to both streamline existing workflows and drive savings from FTE reductions."
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        "full_name": "Saurav Bubber",
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        "founder_bio": "Co-founder and CEO at FuseAI, based out of San Francisco. Saurav is a seasoned operator, most recently supporting Deel's hyper-growth from $50M > $600M+ ARR on the GTM Strategy & Operations team. He graduated from the Richard Ivey School of Business with a B.A. in Honors Business Administration. In his spare time, he enjoys playing golf, piano, and is an avid F1 fan. ",
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        "full_name": "Imogen Low",
        "title": "Founder/CTO",
        "founder_bio": "At 17, Imogen joined SAP’s Innovation team as a MLE after teaching herself to code and earning international recognition for her indoor navigation app. She later led NLP and ML initiatives across Asia Pacific at SAP before co-founding NWO.ai in New York at 21. As CTO, she helped build a pioneering platform that analyzes unstructured data to forecast global consumer trends, securing enterprise clients like LVMH, L'Oréal, P&G, and Colgate. Later, NWO.ai was acquired by Growth Protocol.",
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        "location": "San Francisco, CA, US / Remote (IN; BR; AR)",
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        "body": "**TL;DR – [FuseAI](https://tryfuse.ai/) is an agentic sales platform that enables B2B companies to simplify their tech stacks and empowers 1 sales professional to complete the work of 5.** \\\n\\\n▶️ [**Try FuseAI today**](https://tryfuse.ai/) ◀️\n\nHere’s a [preview of what we’re building at FuseAI](https://youtu.be/nPVwCphuZAI)\n\n### **The Problem**\n\nNowadays, go-to-market teams struggle with manual tasks and fragmented data due to the 10+ disconnected sales tools they are operating on. Legacy software evolved this way primarily because incumbents focused on becoming hyper-specialized with point solutions to accommodate for system of record providers such as Salesforce & Hubspot and the inability to interact with data efficiently until AI had tangible commercial application in 2023. The advent of LLMs is enabling a paradigm shift in the industry with a small window, but massive opportunity, to disrupt incumbents with legacy infrastructure.\n\n### **Our Solution**\n\nOur product can be best described as an agentic sales platform – think Salesforce meets OpenAI operator with the ability to complete any workflow imaginable through simple natural language prompts. The first agents in production enable users to complete the following through simple natural language prompts:\n\n* Automatically create targeted lead lists\n* Conduct market research on prospects\n* Automatically create & manage opportunity pipeline\n* Engage with clients across LinkedIn and email\n\n### **Our Mission**\n\nOur mission is simple - make the best companies and sales professionals 5X better and build a platform that everyone actually enjoys using. We're building for user experience and productivity, so your best reps can close $5M in deals annually vs. the traditional $1M target for SaaS companies. We've started with outbound sales but will be expanding to other GTM verticals across inbound sales, revenue operations, account management, and marketing. As we expand our AI agents across GTM operations roles, our platform will drive significant savings for companies without the need to have huge support functions for roles such as: technical systems analysts, revenue operations professionals, and deal desk analysts, with most of their redundant activities automated. The total market opportunity is 1+ trillion for developing a new type of software interface embedded with vertical AI agents to both streamline existing workflows and drive savings from FTE reductions.\n\n### **How We Got Here**\n\nWe started [FuseAI](https://tryfuse.ai/) out of Saurav’s frustration at Deel - despite being one of the most successful companies of all time, they still struggled immensely with legacy sales software, creating inefficient manual workflows across the go-to-market organization. With the vast improvement in LLMs and agentic applications - Saurav and Imogen realized it was the perfect time to build a new operating system to disrupt legacy incumbents in the industry and took the plunge to start building the future of go-to-market at [FuseAI](https://tryfuse.ai/).\n\n### **Use FuseAI**\n\nYou can get started today by joining the [waitlist or booking a demo](https://tryfuse.ai/) with the team today. Sales professionals from around the world use [FuseAI](https://tryfuse.ai/) to automatically create lead lists, engage with clients, deanonymize website traffic, and manage their deal cycles.\n\n### **Asks**\n\n* **Try FuseAI** out and reach out to us with your feedback and questions. We love when people send us screen recordings, written feedback, and ideas. Email Saurav - [saurav@tryfuse.ai](mailto:saurav@tryfuse.ai)\n* **Contribute** – Help us build the future of AI agents in go-to-market! We have an active community of contributors from all over the world who recommend agents and collaborate on agents to build, feel free to reach out to [saurav@tryfuse.ai](mailto:saurav@tryfuse.ai) to learn more\n* **Follow us** – We put out a lot of content in a lot of places:\n  * Follow [FuseAI on LinkedIn](https://www.linkedin.com/company/tryfuseai/?viewAsMember=true)\n  * Follow FuseAI on [X](https://x.com/fuseai23129?s=21&t=U8uO3G_ueNJiXtFN1o0qFg)\n\n### **About Us**\n\nFuseAI is founded by [Saurav Bubber](https://www.linkedin.com/in/sauravbubber/), a seasoned operator, most recently supporting Deel's hyper-growth through $650M, and [Imogen Low](https://www.linkedin.com/in/imogen-low/), a machine learning engineer who joined SAP’s Innovation team at 17, and later co-founded [Nwo.ai](http://Nwo.ai) at 21 - a venture-backed AI startup acquired by Growth Protocol.\n\n![uploaded image](/media/?type=post&id=87825&key=user_uploads/89898/17ea887c-ab36-419c-afde-dae2325b0bed)\n\n",
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        "body": "## **TL;DR**\n\nAI models need high-quality training data to effectively automate complex professional tasks - we provide that data. If you are building an AI model or need fine-tuning data for your agent, we’d love to help. \n\n\\------------\n\n## **Why We’re Building AfterQuery**\n\nThere is a dearth of high-quality training data.\n\nCurrent AI models are trained to be smart but are not trained on the work of actual professionals in many fields. \n\nFor example, current models are largely unusable to professionals working in finance (private equity, hedge funds, investment banks, etc). See our [paper](https://arxiv.org/pdf/2501.18062), where LLMs fail 60% of realistic daily tasks – but with some fine-tuning on high-quality training data, significantly improve.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeJndLBLBOQJVpf7yPJNA2WFddpffkxqdE1rFqmEfxo3FRmcSCVWqHnsOR793XuN1iCUm-ibeWfFj-FV_3FaswWhXetsEhembFLjln5Lwc9LA0tJV6uNq7MPWyjdDq7FTZSRdmekQ?key=_udDbu5NRw5fwLzMYyqM9i52)\n\n_Chart showing LLM performance against FinanceQA_\n\nAnd the lack of high-quality training data is everywhere:\n\n* Domain-specific AI (legal, consulting, healthcare, etc.)\n* Multimodal data (audio, multilingual, etc.)\n* Foundational models looking to push the boundary on reasoning and grading\n\n## **Solution**\n\nWe are building a platform to onboard experts to work on custom datasets. Think working professionals at top firms and the smartest students in various subjects (PhDs). 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        "body": "Hey everyone 🙂 we’re Sam, Shane and Abhi.\n\n![mastra co-founders](https://mastra.ai/_next/image?url=%2Fabout%2Fmastra-founders.png&w=1200&q=75)\n\n**What we’re building:** Mastra (<https://mastra.ai>) is an open-source JavaScript SDK for building agents on top of Vercel’s AI SDK.\n\n<https://www.youtube.com/watch?v=8o_Ejbcw5s8>\n\n**Our backstory:** Previously, we built Gatsby, the open-source React web framework.\n\nWe noticed our friends building AI applications getting stuck debugging prompts, figuring out why their agents called (or didn’t call) tools, and writing lots of custom memory retrieval logic.\n\nIn October, we started building Mastra, and last week we went viral on Hacker News and Github and went from 1,500 to 7,500 stars.\n\n**Mastra use-cases:** Fireworks AI is using us to build agentic workflows. YC companies are using Mastra to automate support, build CAD diagrams, scrape the web for contact info, automate medical transcriptions, generate financial documents, and create code generation products.\n\nMastra allows you to create workflow graphs that can suspend/resume, build RAG pipelines, write evals, give agents memory, create multi-agent workflows, and test it all in a local playground.\n\nHere’s a weather agent and the agent playground (with tracing built in!):\n\n![uploaded image](/media/?type=post&id=88086&key=user_uploads/153911/2af3d557-eda5-4e84-9e3d-8ca9f89ba3b4)\n\nYou can deploy Mastra agents and workflows to a serverless platform like Vercel, Cloudflare, Netlify, any cloud service that can run Node.js, or our [own hosting platform](https://mastra.ai/waitlist) with evals and tracing.\n\n**How to get started:** Just head over to the command line and install:`npm create mastra`\n\nHappy building 🙂 \\\n\\\nPS: we’ve spent a lot of time this batch doing AI engineering whiteboarding sessions with other batch startups, walking through architecture and best practices, so we decided to write a book to help people get up to speed faster: [Principles of Building AI Agents](https://www.amazon.com/dp/B0DYH5GHDD/ref=tmm_pap_swatch_0?_encoding=UTF8&dib_tag=se&dib=eyJ2IjoiMSJ9.xOCgmaLViBdLwSFuscVMKTz0vTJBUua4OTJbmgz-H-ZCHIxUUBdjGogX4uyU7T6V.kAblDRv1ODXGF3V-QgC6-AVQCrcuYiDicC-BYx4cYXc&qid=1740435997&sr=8-1).\n\nFollow [@mastra_ai](https://twitter.com/mastra_ai) on Twitter/X and tweet at us and we’ll get you a physical copy!\n\n![uploaded image](/media/?type=post&id=88086&key=user_uploads/153911/3fe20638-050c-463d-b8cd-f23b7ce91592)\n\n",
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        "tagline": "Attend meetings in any language, on any platform.",
        "body": "Hey everyone! We just launched our Mac app designed to make every meeting as natural as it would be in your native language.  The app transcribes and translates all audio you hear, and allows you to decide when to translate your voice as speech into the meeting.\n\nIt's invisible to others (like Granola), and works everywhere without any meeting bots. Try it at [**startpinch.com**](http://startpinch.com)!\n\nHere’s a live demo, without cuts: \\\n[**https://youtu.be/ltM2p-SosLc**](https://youtu.be/ltM2p-SosLc)\n\n**Our story**\n\nWhen we first launched Pinch, we shipped a video conferencing solution with a human-like AI interpreter that was an active participant in your call. Our users hold the spacebar down while speaking to the translator, and when they release the spacebar the translator speaks out to the entire room.\n\nThat design was intentional - it puts the task of context selection on the user and prevents people from interrupting each other (only one person can press spacebar at a time).  It also comes with heavy tradeoffs, such as longer meeting lengths and friction with first-time users.\n\n**Why we're excited about the desktop app:**\n\n1. No vendor lock-in, invisible to others, and works everywhere - just select Pinch Microphone.\n2. Fast transcription+translation means you can understand what's going on in real-time and interrupt where necessary.\n3. After you start speaking, the others will hear your translated audio as fast as we can generate it, without interrupting your flow.\n\nThe last few months, our focus has been on building a translation model and UX that would support fast and accurate cross-lingual meetings, and we’re incredibly excited to open the public beta today.\n\nJoin the MacOS beta at [**startpinch.com**](http://startpinch.com)\n\n![uploaded image](/media/?type=post&id=93183&key=user_uploads/1002282/795fd05a-a176-44e2-ba6a-c6afc13cd20f)\n\n",
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        "title": "Pinch - Immersive real-time translation",
        "tagline": "Video conferencing with real-time voice translation",
        "body": "Hey everyone, we’re Christian and Keyu — co-founders of [Pinch](https://startpinch.com).\\\n\\\n**TL;DR**\\\nPinch is an online meeting platform that enables immersive international video calls. Our platform translates your voice in real-time so you can speak and understand over 30 languages. Watch our demo [here](https://youtu.be/Cu7KlbZ3gjw), or try it for free on our [website](https://startpinch.com).\n\n**The problem**\\\nWe’ve felt first-hand how language barriers can actively limit a team’s productivity. High bandwidth communication is vital for collaboration, and while we’ve all moved from IRC → VoIP → Video Conferencing, the existing translation tools still operate in low-bandwidth mediums (mostly caption transcriptions). This makes conversations difficult because 1) converting audio to text before translation is slower, 2) you lose all information of how something was said, and 3) you’re no longer having a face-to-face meeting.\\\n\\\n**Our solution**\\\nWe knew there had to be a better way to connect across different languages and cultures, so we started building Pinch. Shortly after, we found out how challenging translation truly was.  Balancing latency/accuracy for chunk-based audio translation, capturing inflection and tonality per statement, handling culturally specific phrasing, and making a seamless meeting experience are all unsolved problems we're taking on. \\\n\\\nWe’re currently in public beta with our own meeting platform, supporting live use-cases in personal connections (e.g. meeting in-laws for the first time), as well as business (foreign clients, international sales, inter-team comms.).\\\n\\\n👥 **Our team**\\\n[Christian](https://linkedin.com/in/christiansafka) — 10 years of experience launching software and AI-native products 0→1, ex-TPM at Microsoft and most recently the Head of ML at Tavus (YC S21).\\\n[Keyu](https://www.linkedin.com/in/keyu-chen-3a3026143/) — Multimodal and computer vision researcher for over 7 years, working across academia and industry.\n\n![uploaded image](/media/?type=post&id=87820&key=user_uploads/89898/790a942f-0522-46b9-ab92-ce14b69c8abf)\n\nWe met at Tavus, and together have led engineering, research, and product teams from seven countries!\\\n\\\nAfter a long experience building conversation AI video/audio, we're incredibly excited to see what these technologies can unlock for human<>human communication.\\\n\\\n🙏 **Our Ask**\n\n* **Try Pinch!** You can demo it alone or invite a friend to a call for the full experience: <https://startpinch.com>\n* **Share this post!** Do you know anyone in your network facing language barriers?\n* **Let us know how we’re doing.** You can reach us at [founders@startpinch.com](mailto:founders@startpinch.com)\n\n![uploaded image](/media/?type=post&id=87820&key=user_uploads/1002282/e8fe6fc5-8ab5-4688-a342-98024c780599)\n\n",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 97186,
        "title": "Founding Applied ML Engineer",
        "url": "https://www.ycombinator.com/companies/wildcard/jobs/SEmo4di-founding-applied-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$130K - $250K",
        "equity_range": "0.50% - 4.00%",
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        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 106605,
        "title": "Wildcard: AEO, GEO, and AI Search for Ecommerce Brands",
        "tagline": "Wildcard is the command center for agentic commerce. We help ecommerce and retail brands become the answer AI chooses.",
        "body": "**Traction:** 20+ Brands live. On average brands see a 5X increase in AI search revenue after 30 days.\n\n**TL;DR:** [Wildcard ](https://wild-card.ai/)helps brands and retailers rank first across ChatGPT, Claude, Gemini, Amazon Rufus/Alexa, and Walmart Sparky. We audit and action on how your brand, products, and collections show up across every AI search and shopping platform. Wildcard creates the roadmap, and our AI agents execute on it. We create the content AI looks for, including enriching the product catalog, new blogs, collection pages, outreach to publications, and even Reddit and YouTube content to close the gap. Operators can review, approve, and measure how actions tie back to revenue.\n\n**Launch Video:** <https://youtu.be/dkdV-s-JztE>\n\n**The Problem:** Shoppers are googling less and less. They want an experience where they can ask questions, like talking to an in-store rep. They're prompting about what to buy, the model names a few, people purchase those, and you're left relying on Meta's rising ad spend to acquire new customers or retain existing ones. Producing content for millions of SKUs is beyond human scale, and what we found is that millions in revenue was lost because of it. Below is what we learned after 7 months talking with brand owners.\n\n**What We Learned:**\n\n1. It's not about training the model. Everyone gets this wrong. When someone asks, the model runs a live search, reads what it finds, and picks. What decides it is boring and specific: a catalog structured so the model can trust it, and the right content on the sources it reads.\n2. Existing tools were built for SaaS. They hand you a score and stop. That playbook breaks the moment you have 5,000 SKUs and variants. A brand and retailers unit of AEO is the catalog, not a homepage.\n\n**The Solution:** Our solution is simple. First, we run a full audit of how you show up across AI search. Second, we build your roadmap. Lastly, we optimize your product catalog and create the content that gets you recommended. After 30 days, we tend to see a 5x increase in revenue.\n\n**Our Ask:** Try a free trial of our tool [here](https://wild-card.ai/). And if you know any brands, retailers, or agencies, an intro would be great!: [kaushik@wild-card.ai](mailto:kaushik@wild-card.ai)  \n\n**About Me:** Kaushik Mahorker (Founder &amp; CEO). Previously, I was an Engineering Manager at Scale AI, where I led the GenAI Allocation team and built the ecommerce enrichment engine that structured 2.4M attributes across 400K SKUs, helping close $15M+ in retail and marketplace contracts.\n\n![uploaded image](/media/?type=post&id=106605&key=user_uploads/2074409/ca4bbe7c-d2fd-428f-8c09-f0fc965f7c9d)\n\n",
        "url": "https://www.ycombinator.com/launches/RjR-wildcard-aeo-geo-and-ai-search-for-ecommerce-brands",
        "votes": 4,
        "created_at": "2026-07-20T18:00:46.367Z"
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    "name": "Corsair",
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    "former_names": [
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    "website": "https://www.corsair.dev",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Corsair connects your app to any other API. \r\n\r\nUse Corsair to build custom agents, dashboards, and workflows with hundreds of different integrations. \r\n\r\nGet started here: https://docs.corsair.dev/quick-start",
    "one_liner": "OpenRouter for Integrations",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1739227592,
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    "nonprofit": false,
    "batch": "Winter 2025",
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/corsair",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/corsair.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/corsairdev",
    "x_url": "https://x.com/corsairdotdev",
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    "github_url": "https://github.com/corsairdev/corsair/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
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    "founders": [
      {
        "user_id": 932430,
        "full_name": "Dev Jain",
        "title": "Founder/CTO",
        "founder_bio": "CEO of Corsair. We're building the TypeScript integration framework. \n\nBefore launching Corsair, I was a software engineer at Curri (S19). I went to UT Austin and studied mechanical engineering & economics 🤘",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/devrjain/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b86a18146f5802f843731f5c00107bd39466c6d7.jpg"
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    "launches": [
      {
        "id": 112352,
        "title": "Corsair: Connect your users to their apps",
        "tagline": "10k GitHub stars, 200+ integrations: Open-source integration layer for agents and product UIs.",
        "body": "Corsair is a fully-featured product integration platform with a seamless DX. Build anything, from an agent working across all your integrations to a multi-tenant dashboard for your users to connect to anything.\n\n[Website](https://corsair.dev) | [Discord](https://discord.gg/uNgCP3mSzU) | [X](https://x.com/corsairdotdev) | [Cal](https://cal.com/dev-jain-ar3ec6/15min)\n\nMost agent integration tools are MCP-only. **Corsair is built on a REST API**, so the same layer works for agents, backend jobs, and the dashboards your customers actually use.\n\nClosed integration platforms keep your users' tokens on infrastructure you can't inspect or leave. **Corsair is open source**. Self-host it, or use Corsair Hub if you want us to handle OAuth and webhooks. Your data remains yours either way.\n\nThe more third-party APIs your product touches, the more glue code you write. **Corsair gives every integration the same syntax**, and we maintain the adapters behind it.\n\n**Here's how we use Corsair internally**: a GitHub clone wired up through the Corsair SDK. The UI was vibe-coded in an afternoon. All of it runs on the Corsair SDK.\n\n<https://youtu.be/fflIzDutxsc>\n\n**How we can help you**: If you're stuck writing integrations or your current provider holds your customers' data on servers you don't control, reach out. We'll help you set up Corsair, open a Slack channel for support, and build any integrations you're missing.\n\n[Get started at corsair.dev →](https://corsair.dev)\n\n![uploaded image](/media/?type=post&id=112352&key=user_uploads/932430/529a4c94-03c1-4f1a-aa35-eceb39742401)\n\n",
        "url": "https://www.ycombinator.com/launches/TE8-corsair-connect-your-users-to-their-apps",
        "votes": 1544,
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    "id": 30321,
    "name": "Woz",
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    "long_description": "WOZCODE is the highest performing, lowest cost AI coding agent. Available via Claude Code Plugin. \r\n\r\nThe WOZCODE plugin outperforms Claude Code alone on all key metrics:\r\n\r\nCost: 25-55% cheaper\r\nSpeed: 5-10x faster on database tasks, 30-40% faster on most others\r\nPerformance: beats Claude code on Terminal Bench 2.0 (68% vs 58%)\r\n\r\nInstall with one command. Access directly via Claude Code\r\n\r\nYour tools, your workflows, but Better, Faster, Cheaper.\r\n",
    "one_liner": "Claude Code plugin that reduces token consumption and cost by 50%",
    "team_size": 8,
    "industry": "B2B",
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        "answer": "Ben and Brad have been friends for over 13 years, first meeting as engineering students at MIT."
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/woz.json",
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    "city": "San Francisco",
    "country": "US",
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        "user_id": 1831330,
        "full_name": "Ben Collins",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO at Woz. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bentcollins/",
        "x_url": "https://x.com/BenjaminT007",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5169080a0bb66f34a33880c76dac714c74d3027.jpg"
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      {
        "user_id": 200594,
        "full_name": "Brad Eckert",
        "title": "Founder/CTO",
        "founder_bio": "Founder/CTO of Woz. Prev Founder & leader of >30 person engineering team at Cairns Health (YC S17, formerly Totemic). Built deep learning radars in consumer electronics for the home environment and an LLM enabled cure for chronic insomnia. MIT EECS, AI Masters dropout, co-author on 25+ patents.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bradleymeckert/",
        "x_url": "https://x.com/ChefEckert",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5194770d0f855df235bda213246ec0c08b1be8fd.jpg"
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    "jobs": [
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        "id": 74411,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/woz/jobs/E7Uj7bi-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.10% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "PostgreSQL",
          "React",
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      {
        "id": 84657,
        "title": "Founder in Residence at Woz (San Francisco)",
        "url": "https://www.ycombinator.com/companies/woz/jobs/Nsh4F78-founder-in-residence-at-woz-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "iOS",
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        "experience": "Any (new grads ok)",
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        "id": 85900,
        "title": "Founding Woz Experts (freelance)",
        "url": "https://www.ycombinator.com/companies/woz/jobs/jn2oBHa-founding-woz-experts-freelance",
        "location": "Remote (US)",
        "type": "Contract",
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        "id": 89117,
        "title": "Content Wizard",
        "url": "https://www.ycombinator.com/companies/woz/jobs/HgalPvV-content-wizard",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Marketing",
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        "salary_range": "$50 - $100 / hourly",
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        "skills": [
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    "launches": [
      {
        "id": 99856,
        "title": "WOZCODE - Cut your Claude costs by 50%",
        "tagline": "A Claude Code plugin that doubles your AI output per dollar",
        "body": "# **Double your AI coding output per dollar spent with WOZCODE**\n\n[WOZCODE](https://www.wozcode.com/) is a plugin that augments Claude Code, making it faster, cheaper and higher performing. It installs in two commands, uses your existing Claude subscription, and fits directly into your current tools and workflows (CLI, Claude Desktop App, VS Code, Conductor, etc.)\n\n<https://youtu.be/ISDH4qsLbrM?si=Pm1g7xXYohUX_UVH>\n\n**Problem:**\n\nLast month, our Claude Code spend crossed $100k.\n\nThe scary part wasn’t the total. It was how much Claude wasted by being inefficient. Tool call after tool call that bloated context and burned unnecessary tokens. Claude Code is incredible, but too often it was wasting our tokens and money. As a startup we couldn’t continue burning funds in this fashion. \n\nSo we built a fix.\n\n**Solution:**\n\n[WOZCODE](https://www.wozcode.com/) is a plugin that optimizes how Claude Code works under the hood.\n\nCompared to Claude Code alone, WOZCODE delivers:\n\n* **25–55% cost savings**\n* **30–40% faster coding tasks**\n* **Higher benchmark performance (Terminal Bench: 70% vs 58%)**\n\nFor teams using Claude Code heavily, this can mean:\n\n* 50% Lower API spend\n* 2x more AI coding throughput\n* 2x more output before hitting limits \n\n\\*checkout[ wozcode.com](http://wozcode.com) for side-by-sides on real world coding tasks\n\n**How it works**\n\nInstead of relying solely on the default tools inside Claude Code, WOZCODE uses a set of custom tools designed for efficiency and context optimization.\n\nFor example, in vanilla Claude Code, a simple \"find and edit 3 files\" takes 9+ calls (3× Glob/Grep + 3× Read + 3× Edit) — and call #9 reprocesses all prior output as input tokens.\\\n\\\nWOZCODE collapses that to 2 calls (1× Search + 1× batch Edit). The context stays small, so every subsequent call in the session is cheaper. Over a 30-prompt session, this compounding effect drives significant cost savings.\n\n**See what you could be saving:**\n\nRun the below common in your terminal. It scans your existing Claude Code history and shows you exactly what you could have saved over the last 30 days\n\n            _curl -fsSL [https://wozcode.com/savings-check.js](https://wozcode.com/savings-check.js) | node -_\n\n**Get started for free:**\n\nSign up at [ wozcode.com](http://wozcode.com)\n\nWOZCODE installs in two commands, uses your existing Claude subscription, and fits directly into your current tools and workflows (CLI, Claude Desktop App, VS Code, Conductor, etc.)\n\n**Help us help you:**\n\nIf you’re hitting Claude limits or seeing your spend rapidly accelerate, we’d love to hear from you. The sooner we learn about your use case the sooner we can optimize for it and help you save.\n\nReach us at [founders@withwoz.com](mailto:founders@withwoz.com)\n\nThank you!\n\n\\-Ben & Brad",
        "url": "https://www.ycombinator.com/launches/Pya-wozcode-cut-your-claude-costs-by-50",
        "votes": 9,
        "created_at": "2026-04-17T15:44:51.341Z"
      },
      {
        "id": 87776,
        "title": "Woz - Your AI Technical Cofounder",
        "tagline": "Launch a software business from scratch, no cofounder required",
        "body": "Hey everyone - we’re [Brad Eckert](https://www.linkedin.com/in/chefeckert/) and [Ben Collins](https://www.linkedin.com/in/bentcollins/), cofounders of Woz. 👋\n\nWoz is an AI platform that empowers non-technical entrepreneurs to build and scale real software businesses–no technical cofounder or engineering team required. To start, we’re helping entrepreneurs build high quality mobile apps and launch them directly to the app store.\n\n<https://youtu.be/DFZ5NCKrV58?feature=shared>\n\n### **Problem:**\n\nFor most people, finding a technical cofounder is a frustrating and often insurmountable challenge. AI tools for generating prototypes and toy apps only exacerbate the struggle, leaving non-technical users stranded with no way to get from prototype to customer-ready product. \n\n### **Solution:**\n\nWith a proprietary system of AI agents, **Woz enables you to go from idea to production-ready product, eliminating the need to find a technical cofounder or hire developers.** Simply explain your business idea as you would to a human developer, and Woz handles the rest - product, payments, security, infrastructure, scalability, and more. Once you're up and running, Woz provides the tools you need to reach customers, grow sales, and scale your business, all in one place. Think of Woz as the command center for your business. \n\n### **What Woz is NOT:**\n\nWoz is **NOT** another no-code tool for generating prototypes, demos, or “toy apps” (e.g. surveys, to do lists, landing pages, etc). Maybe you’ve tried tools like Bubble, Lovable, or Bolt–these tools are fun and easy to use, but they're not engineered for business building. At Woz, we take the opposite approach–starting from battle-tested backend infrastructure and then customizing it to your business. That way, everything built on Woz is ready for customers on day one.\n\n### **Our Team:**\n\nWe met 13 years ago as roommates at MIT and have been building companies pushing the limits of AI/ML ever since. Brad previously cofounded Cairns Health (YC S17, formerly Totemic) where he led an engineering team of 30+ and built an LLM enabled device to cure chronic insomnia. We’re joined by a world class team of ML scientists and production engineers who’ve worked together for the last 10 years, scaling products to millions of users. Woz is now a fulltime team of six, and growing. If you’re interested in joining us as we remove barriers to business building, please reach out.  \n\n### **Itching to launch a mobile app?**\n\n👉 Apply for our Beta at [www.withwoz.com](https://www.withwoz.com) or contact us directly at [founders@withwoz.com](mailto:founders@withwoz.com)\n\n**We can’t wait to see what you build!** 🚀 🚀 🚀",
        "url": "https://www.ycombinator.com/launches/Mpk-woz-your-ai-technical-cofounder",
        "votes": 40,
        "created_at": "2025-02-18T15:52:03.555Z"
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    "id": 30322,
    "name": "Spott",
    "slug": "spott",
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    "website": "https://spott.io",
    "all_locations": "Leuven, Flanders, Belgium",
    "long_description": "Spott is the first AI-native ATS/CRM for recruiting & staffing firms. We built Spott because existing recruitment platforms require extensive manual work, are clunky to use, rely on fragmented add-ons, and are not designed for AI adoption.\r\n\r\nSpott combines everything recruiting firms need, from a full ATS & CRM to AI agents across the entire workflow, into one AI-native solution. It enables recruiters to focus on what matters most and close more placements.",
    "one_liner": "AI-native ATS/CRM for recruiting firms",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1737184010,
    "tags": [
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      "Enterprise Software",
      "AI"
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    "status": "Active",
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    "regions": [
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      "Europe"
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/spott",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/spott.json",
    "year_founded": 2024,
    "city": "Leuven",
    "country": "BE",
    "linkedin_url": "https://www.linkedin.com/company/spottai",
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        "full_name": "Lander Degreve",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Spott. Previously worked at Bain building an AI job match tool and built a GenAI consulting-case interviewer as a side project. Background in Financial Statistics with internship in IB at JPMorgan and Master's degree at Bocconi.",
        "is_active": true,
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        "full_name": "Manu Vanderveeren",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder & COO at Spott. Previously worked at McKinsey on Strategy, Tech DD and HR projects. Background in Finance with internships in IB & PE at Morgan Stanley and CVC. Master's degree in Financial Analysis at LBS",
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      {
        "user_id": 943846,
        "full_name": "Samuel Smeys",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Spott. Previously worked at BCG, building Data & ML pipelines for Recruitment Agencies in the UK, USA, EU with a wide range of industry, experience & staffing type specializations. Background in Mathematical Statistics, Machine Learning & AI. Backend, DevOps & Infra enthusiast. Master's degree in Statistics at LSE.",
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        "id": 111818,
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        "url": "https://www.ycombinator.com/companies/spott/jobs/HGqPlMG-bdr",
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        "id": 111819,
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        "url": "https://www.ycombinator.com/companies/spott/jobs/m0vHaIl-customer-success-manager",
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        "id": 99581,
        "title": "Spott: The AI workspace for agency recruiters",
        "tagline": "Outp(l)ace everyone",
        "body": "**TL;DR** \\\nSpott is the AI-native ATS/CRM for recruiting & staffing agencies. We are the modern alternative to Bullhorn and Loxo. We offer an all-in-one, AI-native system that truly understands your data and helps you act on it. This enables you to make more placements, faster.\n\nHundreds of recruitment agencies worldwide, from executive search firms to temp agencies of all sizes, already made the switch.\n\n<https://youtu.be/GdaSZZq40fw>\n\n**📉** **Problem**\\\nRecruiting is a $1T+ industry, yet the most widely used recruitment platforms were built 20 years ago. They were never built for AI and have shown a clear lack of innovation, which has led to a growing reliance on add-on functionality. Most of today’s \"AI features\" are just layers on top of outdated systems that can’t properly understand, update, or act on data. This is despite the enormous potential AI has in recruitment.\\\n\\\n**📈 Solution**\\\nWe built Spott from scratch in the AI era. It captures all your data, understands the meaning behind it, and can act on it. That is how you can find the candidate who mentioned six months ago that they were open to relocating. This helps recruitment agencies make more placements, faster.\\\n\\\n**How it works**\\\\\n\n* **AI Matching.** Contextual, not keyword-based. Matches across CVs, notes, Socials, call transcripts, and interviews. Shows _why_ each candidate was matched.\n* **Deep Customizability.** Custom attributes, AI-prompted columns, drag-and-drop views, kanban boards.\n* **AI Note-Taker.** Transcribes calls, creates smart summaries, auto-updates candidate profiles. No manual data entry.\n* **Unified Inbox.** Email, Socials, WhatsApp, calendar, VOIP. Two-way sync. Every conversation auto-attached to the right record.\n* **Candidate Presentations.** Client-ready presentations in your own Word/PPT template plus CV reformatting and a client portal.\n* **Multi-channel sequences, Analytics, Automations, Data enrichment…** All included. No add-ons required.\n\n![uploaded image](/media/?type=post&id=99581&key=user_uploads/2229948/d5bf76a4-6589-4a1f-9d97-9dafe14a3329)\n\nBook a demo at [Spott.io](http://Spott.io)",
        "url": "https://www.ycombinator.com/launches/Pu9-spott-the-ai-workspace-for-agency-recruiters",
        "votes": 13,
        "created_at": "2026-04-08T21:02:09.556Z"
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      {
        "id": 87367,
        "title": "Spott: AI agents for recruiting firms",
        "tagline": "Supporting recruiters to focus on human interactions and increase placements",
        "body": "**TL;DR** \\\nSpott is building AI agents for recruiting firms to replace legacy recruiting platforms like Bullhorn. Today, headhunters use our first agent to generate detailed candidate presentation reports in their template within minutes, using data they already own.\n\n[Spott video](https://www.youtube.com/watch?v=7w3Ae-KDHEU)\n\n**📉Problem**\n\nHeadhunters create detailed reports for every candidate they propose to a company at the end of their search process. Manually writing these reports from scratch can take several hours, while most of the required inputs are readily available in their recruitment platform (think CV, cover letter, job description, interview notes). Similar tasks such as rewriting job descriptions and CVs are time and labor-intensive, adding up to \\~10% of the total workload. These tasks primarily involve converting raw information into standardized formats, which is time-consuming and slows down the hiring process.\n\n**📈Solution**\\\nSpott's candidate report writing agent streamlines this process by ingesting CVs, job descriptions, and interview notes to generate polished drafts in seconds. You can import recordings of in-person conversations and link transcripts from Zoom or Teams meetings to quickly create an 80% complete draft. Our context-rich editor, powered by AI, helps you efficiently finalize your report in minimal time. What sets Spott apart from ChatGPT and comparable solutions is the exceptional quality of its reports, the anonymized processing of sensitive client data, and the ability to export directly to your custom Word or PowerPoint templates. Our solution allows exec search recruiters to truly create reports in minutes rather than hours.\n\n**Founders**\\\nFounders [Manu](https://www.linkedin.com/in/manuvanderveeren/), [Samuel](https://www.linkedin.com/in/samuelsmeys/), and [Lander](https://www.linkedin.com/in/lander-degr%C3%A8ve/) bring recruiting expertise from McKinsey, BCG, and Bain. There, we saw clients struggle with legacy systems and realized AI-powered solutions could prove a transformative growth lever in executive search. Our goal: build the recruitment platform for the next generation of executive search firms.\n\n![uploaded image](/media/?type=post&id=87367&key=user_uploads/2229948/50385b80-397b-40ab-9ea7-d0da64422aff)\n\nContact us at [manu@spott.io](mailto:manu@spott.io)\\\nLearn more at [spott.io](http://spott.io)",
        "url": "https://www.ycombinator.com/launches/Mj9-spott-ai-agents-for-recruiting-firms",
        "votes": 27,
        "created_at": "2025-02-03T01:31:08.785Z"
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    "country": "US",
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        "full_name": "Celia Manzano",
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        "full_name": "Javier Sanchez",
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        "founder_bio": "Cofounder at Rebolt. Prev Founding Engineer at Stack AI (YC W23) - Enterprise AI platform, where I steered and built core product features and brought key engineering hires from seed to series A ($2M ARR). Former Software Engineer at Ubuntu. Lead the software team and developed the LiDAR perception system for UPM Racing (Formula SAE). UPM BS CS and Telecom Engineering.",
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        "id": 78723,
        "title": "Founding Growth Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/gOEVDd8-founding-growth-engineer",
        "location": "San Francisco, CA, US / Remote (Madrid, MD, ES; London, England, GB)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 78728,
        "title": "Founding Frontend/Design Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/JCRcV6h-founding-frontend-design-engineer",
        "location": "San Francisco, CA, US / Remote (Barcelona, CT, ES; Madrid, MD, ES; London, England, GB)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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      {
        "id": 78730,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/G4aLyQv-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US / Remote (London, England, GB; Madrid, MD, ES; Madrid, Community of Madrid, ES; Barcelona, CT, ES; Barcelona, Catalonia, ES)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 78732,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/siEnV0n-founding-ai-engineer",
        "location": "San Francisco, CA, US / Remote (Madrid, MD, ES; Madrid, Community of Madrid, ES; Barcelona, CT, ES; Barcelona, Catalonia, ES; London, England, GB)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
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        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
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        "id": 78750,
        "title": "Founding Backend Software Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/f0qBn0A-founding-backend-software-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
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      {
        "id": 93048,
        "title": "Rebolt - AI-Powered Company OS",
        "tagline": "Rebolt sits on top of your systems and builds tailor-made AI software to drive outcomes",
        "body": "![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/7fa6e21d-e9e1-4e04-9c2a-3548b5ad8e17)\n\nUnlike consumer vibe coding tools like Lovable and Replit, which are great WordPress replacements and prototyping tools, they're not purpose-built for company use.\n\nRebolt provides:\n\n1. Ready to use AI within apps, no API keys required.\n2. Off-the-shelf integrations with: OneDrive, SharePoint, Salesforce, Teams, Slack, custom APIs, and many more.\n3. Company knowledge for building and using within apps.\n4. Mapped roles and permissions with Azure groups and all SCIM providers.\n5. Database, file storage, cron jobs, and audit logs.\n6. Separate staging and production environments.\n\nNot for landing pages, but for creating effective AI solutions that work for you.\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/0b35bd7a-13f5-4e96-a302-74fb11d7037a)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/fccbc91c-62b2-4b65-be99-3562f49566f3)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/79d1b192-62fc-4dfa-8a17-c7c33ac99d4f)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/7a177b29-3130-45ef-b5be-dbd333b526f0)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/0f28c3d7-5168-47a7-8871-24048d44c15e)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/4f189bd0-18c3-4a54-bd40-9d026247691d)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/51e715bf-f444-4799-a8e9-232650b0b04f)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/1c4f150d-ddd2-49b9-8843-760d5d12231b)\n\n## Our ask\n\n* Warm intros with CIOs and “AI champions”\n* Product feedback (ask for more free credits at [founders@rebolt.ai](mailto:founders@rebolt.ai))\n* Relevant use cases within your industry\n\nTry it here now: https://rebolt.ai\n\nWork with us, automating the world’s manual work: https://www.ycombinator.com/companies/rebolt/jobs",
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        "votes": 149,
        "created_at": "2025-08-19T14:18:49.533Z"
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    "id": 30325,
    "name": "Roark",
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    "long_description": "Roark helps teams test, monitor, and improve their voice agents.\r\n\r\nVoice AI is exploding, but reliability is still the #1 challenge. Teams spend hours manually testing agents and still miss failures. In the last 6 months, Roark has processed over 10M minutes of calls, powering monitoring and simulation for teams across the Voice AI ecosystem (including YC companies).\r\n\r\nWe close that gap by combining:\r\n\r\n 📊 Monitoring & Evaluation - 40+ built-in metrics (latency, instruction-follow, sentiment, etc.), custom dashboards, alerts, and the ability to define your own. Up to 15 speakers with automatic speaker identification.\r\n 🎭 Simulations & Personas - end-to-end phone/WebSocket simulations for inbound and outbound agents, with configurable personas (accents, languages, speech & behavior profiles). Define tests as conversations with a graph-based approach, so you can easily branch into edge cases and variants.\r\n 🔁 Full lifecycle loop - failed calls automatically become repeatable tests, so every failure makes your agent stronger.\r\n\r\nRoark is the missing QA layer for Voice AI - helping teams ship agents they can trust.",
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    "subindustry": "B2B -> Analytics",
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        "full_name": "James Zammit",
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      },
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        "user_id": 320609,
        "full_name": "Daniel Gauci",
        "title": "Founder/CTO",
        "founder_bio": "Daniel Gauci (CTO) is a software engineer with 10+ years of experience. Previously a Senior Engineer at Akiflow (YC S20), he helped scale the company to $1.5M ARR and over 10,000 customers. Daniel spent seven years at Casumo, leading the development of a mobile app used by millions of players, significantly contributing to the company’s growth to over $50M ARR.",
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        "linkedin_url": "https://www.linkedin.com/in/gaucidaniel/",
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    "news": [
      {
        "title": " Roark: Test, monitor, and improve your voice agents | Product Hunt",
        "url": "https://www.producthunt.com/products/roark-yc-w25?launch=roark",
        "date": "Aug 26, 2025"
      }
    ],
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      {
        "id": 87658,
        "title": "Roark - The Observability & Testing Platform for Voice AI",
        "tagline": "Replay real production calls against your latest agent changes, catch failures, and track sentiment.",
        "body": "## **TL;DR**\n\nRoark is an observability and testing platform for Voice AI that shows you whether your agent meets its goals, tracks how customers feel, and lets you replay real calls on your latest changes.\n\nIf you’re building voice AI agents and want a faster, smarter way to test and improve them, we’d love to connect! Email [james@roark.ai](mailto:james@roark.ai) or [book a time here](https://calendly.com/james-roark/book-a-demo).\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/0caf0c5a-2421-4fcf-8b6a-2867de8d581f)\n\n_(Replay real calls without picking up the phone.)_\n\n## **The Problem: Testing Voice AI Is Painfully Manual**\n\nOnce a voice agent is live, teams have no easy way to test updates. Every time you tweak a prompt or logic, you have to manually call the bot, hoping to catch issues before customers do.\n\n* Does the agent follow the right flow? You don’t know unless you re-run conversations by hand.\n* Did a change break something? You won’t find out until users complain.\n* How do customers actually experience the bot? Traditional testing tools only analyze text transcripts, missing tone, hesitation, or frustration.\n\nVoice AI teams, especially in healthcare, legal, and customer support need real-world validation for every change they ship. But existing testing tools rely on scripted test cases that don’t reflect real interactions, leading to blind spots and regressions.\n\n## **The Solution**\n\nRoark lets you replay real production calls against your newest AI logic, so you can test changes before they go live. No more manually dialing your bot or relying on outdated scripted tests - get real-world validation instantly.\n\nHow It Works:\n\n1. Capture real-world calls: Automatically ingest production conversations from your existing voice AI setup (integrates seamlessly with VAPI, Retell, or custom APIs).\n2. Replay calls on your updated agent: Our system re-runs the same user inputs, sentiment, and tone against your latest agent, cloning the original caller’s voice for more realistic testing.\n3. Evaluate goal completion: Define key objectives (e.g., “Did the agent confirm insurance?”) and automatically flag failures or missteps.\n4. Monitor sentiment & vocal cues: Detect frustration, long pauses, sighs, and hesitation - signals that text-based evaluations miss.\n5. Track performance with reports & dashboards: Visualize conversation flows, track drop-offs, and measure key metrics with Mixpanel-style analytics.\n6. Get real-time alerts: Set up custom monitoring for compliance violations, negative sentiment spikes, or repeated failures.\n\nRoark gives AI teams the same confidence in testing, iteration, and monitoring that software engineers had for years with modern dev tools.\n\nCheck out our demo below!\n\n<https://youtu.be/eu8mo28LsTc?feature=shared>\n\n## **Why We Built Roark**\n\nWe first ran into this problem while building a voice agent for a dental clinic. Patients kept reporting issues, getting stuck in loops, failing to confirm insurance, or receiving irrelevant responses. But the only way to test fixes was to call the bot ourselves or read through hundreds of transcripts, hoping to spot patterns. It was frustrating, slow, and unreliable.\n\nAfter talking to other teams working on Voice AI, we realized this problem was universal - everyone was struggling to validate their AI’s performance efficiently. That’s when we decided to build Roark.\n\n## **Team**\n\nWe’re engineers who have built and scaled complex systems at high-growth companies:\n\nJames Zammit (CEO) – Infra and AI engineer with 10+ years of experience. Previously at AngelList, where he worked on core infrastructure as the company scaled from $10B to $124B in assets under management and led the development of Relay, an AI-powered portfolio manager. Co-founded three startups, one of which partnered with Firebase and was showcased at Google I/O 2016.\n\nDaniel Gauci (CTO) – Software engineer with 10+ years of experience. Previously at Akiflow (YC S20) as part of the mobile development team, helping the company reach $1.5M ARR and 10,000+ customers. Spent 7 years at Casumo, leading the development of the mobile app used by millions of players helping the company reach $50M+ ARR.\n\n## **Try it out!**\n\nIf your team is tired of manually testing voice AI updates and wants a faster, more reliable way to validate changes, email us at [founders@roark.ai](mailto:founders@roark.ai) or [book a demo here](https://calendly.com/james-roark/book-a-demo) - we’d love for you to try out Roark.\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/b44daa71-7f56-4c40-9c89-8dd4edf07bd3)\n\n",
        "url": "https://www.ycombinator.com/launches/Mnq-roark-the-observability-testing-platform-for-voice-ai",
        "votes": 39,
        "created_at": "2025-02-13T19:09:59.210Z"
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    "long_description": "Dalus is an AI-powered systems engineering software to model/validate complex systems for aerospace/defense/robotics and other mission-critical industries. \r\n\r\nWith Dalus, engineers can seamlessly trace requirements, perform analyses, and update information in real-time. This ensures that every team member stays aligned and informed, reducing inefficiencies and enabling faster iterations. \r\n\r\nWith AI at our core, users can analyze hundreds of pages of existing engineering documentation and requirements to generate or retrieve information about the system model they are building in Dalus.\r\n\r\nWe started working together on Dalus in spring 2024 after Eliot quit his job at Aerojet Rocketdyne (L3Harris) where he worked as a test/systems engineer. He experienced first-hand how silos and poor communication reduced the productivity and efficiencies in the teams he worked at.\r\n\r\nWe love working with companies tackling complex engineering systems, whether they be startups just getting their feet wet or large organizations like Israel Aerospace Industries (Our design partner and biggest aerospace/defense company from Israel)\r\n\r\nRead why we started Dalus: https://dalus.io/articles/why-dalus",
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        "full_name": "Sebastian Völkl",
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        "founder_bio": "Co-Founder/CEO @ Dalus\nSoftware to model/validate complex systems for industries like aerospace/defense\n\nI co-founded two companies in the past (one software startup -> sold it, and one hardware startup, building Brain-Computer-Interface electronics)\n\nBefore starting Dalus, I was involved in a project with the European Space Agency, modeling a Greenhouse module for the Moon, where I learned firsthand how inefficient existing software for building hardware is. ",
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        "full_name": "Eliot Khachi",
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        "id": 96572,
        "title": "Senior Software/Frontend Engineer @ Germany Office",
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        "id": 87642,
        "title": "Dalus - Hardware system design software powered by AI",
        "tagline": "Dalus helps engineers create system models of complex hardware in a day instead of weeks.",
        "body": "# **TL;DR**\n\nDalus is building the next generation of hardware system design software powered by AI. Our goal is to make building hardware as fast and iterative as software development.\n\n🔧 Use Dalus to model complex hardware systems with ease\\\n🛠 Collaborate in real-time with a single source of truth for your system designs\\\n🤖 Leverage AI to automate tedious updates and generate insights in seconds\\\n🚀 Verify system requirements within seconds\n\nWe started working together on Dalus in spring 2024 after Eliot quit his job at Aerojet Rocketdyne (L3Harris) where he worked as a test/systems engineer. He experienced firsthand how silos and poor communication in hardware development reduced the productivity and efficiencies of the teams he worked at.\n\n<https://youtu.be/mTbpqLymL3U>\n\n# **Our Hypothesis:**\n\nHardware development in industries like aerospace, defense, and automotive is slow, siloed, and error-prone due to poorly maintained documentation. \n\nTraditional document-based approaches to systems engineering are outdated and fail to keep up with today’s agile hardware teams. Dalus provides an **intuitive model-based systems engineering (MBSE) platform** that centralizes all system requirements, functions, architectures, and constraints into one living digital model.\n\n## **The Need for Model-Based Systems Engineering (MBSE)**\n\nTraditional systems engineering relies heavily on scattered documents and manual processes, leading to inefficiencies and costly mistakes. MBSE addresses these issues by:\n\n1. Creating a single source of truth\n2. Enabling faster design-test-iterate cycles\n3. Catching errors early in the development process\n4. Supporting rapid changes in hardware designs\n\n   ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf1aozPCrqSOY6AuEN-7_b5CU_u4_uS_RDAqkgg0GqlDyxBxuRak3KvRGYzFkCGd3LTq1Qdqkkm2llPcI0W__yXQBIDLvtBCMorZtaFdFWJu57VDbxaqV-lVZG8q4K8kN0UdBw7?key=81YZe2YCcaHvmEQ0BoEuPJUw)\n\n\n# **Industry Focus:**\n\nDalus is tailored for complex engineering systems in industries such as aerospace, defense, energy, and automotive.\n\nWe love working with companies tackling complex engineering systems, whether they be startups just getting their feet wet or large organizations like Israel Aerospace Industries (Our design partner and biggest aerospace/defense company from Israel)\n\n## **Dalus' Approach**\n\nDalus differentiates itself from existing solutions by offering:\n\n1. Cloud-based software that's intuitive and reasonably priced\n2. Seamless integration with existing design and simulation tools\n3. AI-driven capabilities to automate tedious tasks\n4. A focus on supporting agile hardware teams in fast-changing environments\n\n   ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfQfTZt8sjAxYlpkO4E0KeKvZa2PWHcsY2P9PaLI33gn_rJ4npYq3uphNlkIqWzxvSrJdZ_lfOUzibP8vaNyVl_-jhrZElnDj18gonT6d0ZLj5TQJDgAeio6ehaG5gyB52iMV22Tg?key=81YZe2YCcaHvmEQ0BoEuPJUw)\n\n\n## **Future Developments**\n\nDalus is actively working on new features based on user feedback, including:\n\n* Native integrations with physical simulation tools\n* Version control\n* Creating the best AI on the market for hardware systems engineering\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfUWnYnlL_4HOjcu8QbXJcZLBWWJXG9yc11C2SFnUWGsMyBqBYpmwp1l5iFoIzUvsNpIwIl5NYuLk8RnjAMBEdljMctJFHHG5wrVek7Gy0typhqwOlih0fs5rYLrcdsaA9-bvipJg?key=81YZe2YCcaHvmEQ0BoEuPJUw)\n\n# **The Ask**\n\n* If you know someone who is working on complex hardware systems, send them to [dalus.io](http://dalus.io)\n\nRead more on why we started Dalus: <https://dalus.io/articles/why-dalus>\n\n\\\nReach us at [sebastian@dalus.io](mailto:sebastian@dalus.io)\n\n![uploaded image](/media/?type=post&id=87642&key=user_uploads/460293/f3f042a9-9dec-4835-a08c-6d95e82d7304)\n\n",
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        "full_name": "Tycho Svoboda",
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        "founder_bio": "Co-Founder & CTO of TensorPool (W25)\nPreviously NVIDIA, Apple, Chan Zuckerberg Initiative\nStanford BS & MS in Computer Science + Statistics",
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        "full_name": "Hlumelo Notshe",
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      {
        "id": 87792,
        "title": "TensorPool: the easiest way to use GPUs 🌊",
        "tagline": "With TensorPool, just describe your job and we handle all the GPU orchestration and execution at half the cost",
        "body": "Hi Everyone! We’re [Joshua](https://bookface.ycombinator.com/user/969804), [Hlumelo](https://bookface.ycombinator.com/user/1709047), and [Tycho](https://bookface.ycombinator.com/user/2359695) - cofounders of TensorPool!👋\n\n**TLDR;** Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.\n\n[Get setup in 3 minutes](https://github.com/tensorpool/tensorpool)\n\nHere’s a quick demo of how easy it is to train ML models with TensorPool!\n\n[**TensorPool Demo -- Fine-Tuning DeepSeek**](https://youtu.be/RqqLIVzP780)\n\n# **Problem**\n\nSince high school, when we trained our first ML models, **accessing remote compute has always been a massive hurdle**. As the years went by and we moved further into academia/industry, a good solution never came. Whether it was AWS EC2’s absurd amount of configuration, or Google Colab’s inability to run jobs without your computer being on, nothing left us satisfied. We talked to our co-workers and friends and they all felt the same. We wanted using GPUs to be as easy as programming locally.\n\n# **Solution**\n\nWe got together and built a way to **access industry-scale compute from your IDE**. No more SSHing. No more massive data migrations. No more ML Ops headache. Just a simple CLI. \\[We also **cut your costs by 50%** which will be explained below :)\\]\n\n# **How It Works**\n\nTensorPool has 2 main advantages:\n\n1. **Ease of Use:** \n   * **Don’t leave your IDE:** TensorPool deploys your code directly to GPUs and ships the results back, just as if you were developing locally. \n   * **Intuitive CLI & Configuration:** With TensorPool you can run your job with a single command, kick off several experiments with different tp.config.toml configurations, and version control training jobs with your code.\n2. **Price Advantage**\n   * **Multi-cloud integration:** We’ve developed technology to do a real time analysis of all available GPU cloud providers, and put your job on the cheapest one.\n   * **Spot node resummation tech:** We’ve created a way to give users the price advantage of spot nodes with the reliability of on-demand instances. This leads to \\~50% savings!\n\n# **Our ask**\n\nWe’re currently giving away $5/week of **free compute** to early users, and would love for you all to **try us out**! Whether your start-up needs an ML infra upgrade or you love messing around with models in your free time – reach out to us we’d love to chat ([team@tensorpool.dev](mailto:team@tensorpool.dev))! You can find all the information to get started [on our GitHub](http://github.com/tensorpool/tensorpool) (**drop us a star while you’re there** 😊) or [our website](https://tensorpool.dev).\n\n**We would also love intros to enterprises** that you believe could benefit from cheaper / easier access to GPUs.\n\n# **Try TensorPool today!**\n\nBelow is a quick start:\n\nAfter completing [the prerequisites](https://github.com/tensorpool/tensorpool?tab=readme-ov-file#prerequisites), we create a “tp.config.toml” ([explained here](https://github.com/tensorpool/tensorpool?tab=readme-ov-file#configuration)), either manually with: \n\n```\ntp config new\n```\n\nOr auto-generate one with natural language: \n\n```\ntp config <describe your task>\n```\n\nTo then deploy and run your job – simply run:\n\n```\ntp run\n```\n\nand that’s it! Your model is training on cloud GPUs! \n\n# **About Us**\n\nJoshua, Tycho, and Hlumelo all met their freshman year at Stanford where they got placed on the same dorm floor. Since then, they’ve taken all their classes together and have worked at companies like Apple, Blackstone, DeepMind, Nextdoor, CZI, and PIMCO.",
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        "votes": 697,
        "created_at": "2025-02-18T22:18:38.093Z"
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    "id": 30334,
    "name": "Bluebook",
    "slug": "bluebook",
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    "website": "https://getbluebook.com",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Bluebook is building AI agents for accounting firms to accelerate research, reconciliations and monthly closings. We allow professionals to serve 200 clients instead of just 20. With research time cut by 30% accountants can provide more strategic advice to help their clients thrive. The 30 leading firms in the Nordics already use Bluebook.\r\n\r\nThe accounting industry faces a perfect storm: a massive CPA retirement wave (75% in the coming 15 years), increasing complexity from globalization and new regulations, and private equity consolidation driving productivity demands. LLMs enables software that can understand context, adapt to new scenarios, and handle complex accounting tasks with human-like reasoning - capabilities that traditional rule-based software lacks.",
    "one_liner": "AI for accounting",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1739450063,
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    "url": "https://www.ycombinator.com/companies/bluebook",
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    "year_founded": 2024,
    "city": "Stockholm",
    "country": "SE",
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        "full_name": "Philip Andersson",
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        "founder_bio": "Self-taught AI builder and seasoned founder. Developed my first webpage at age 8, founded my first company at 17, built a software consultancy generating millions in revenue, exited a product company, launched many failures. Last years spent as engineering leader at startups such as FirstVet, Mindler and Epidemic Sound.",
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        "linkedin_url": "https://linkedin.com/in/phiandersson",
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        "full_name": "Filip Stål",
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        "linkedin_url": "https://www.linkedin.com/in/filip-st%C3%A5l-464849229/",
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        "date": "Feb 13, 2025"
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      {
        "title": "“Self-driving accounting”: Bluebook secures €2.4 million for AI-powered accounting – BeBeez International",
        "url": "https://bebeez.eu/2025/02/13/self-driving-accounting-bluebook-secures-e2-4-million-for-ai-powered-accounting/",
        "date": "Feb 13, 2025"
      },
      {
        "title": "Bluebook Raises $3M to Build AI Agents for Accounting Firms with Pre-Seed Led by EQT Ventures  - CPA Practice Advisor",
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        "date": "Feb 13, 2025"
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      {
        "title": "EQT Ventures Backs Bluebook: AI is Redefining Accounting | by EQT Ventures | eqtventures | Feb, 2025 | Medium",
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        "date": "Feb 13, 2025"
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        "title": "Bluebook Raises Millions From EQT and Angels – Silicon Valley Nordic Beat",
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    "name": "Butter",
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    "long_description": "Butter is building bVisor, an incredibly lightweight sandbox runtime for AI agents.\r\nIt embeds directly into your local process, providing a safe bash environment without the overhead of VMs or remote infra.",
    "one_liner": "Embedded Sandboxes for Agents",
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        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "* Dec 11: First line of code* Jan 21: Launched serverless VM cloud platform → learned users need to self-host* Feb 16: Launched Piglet computer driver for self hosting → learned implementing agent loops is high friction* Feb 27: Launched Agent layer (chat, soon API) to get users to successful automations faster"
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      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "RPA is brittle, and gatekept by consultants who benefit from the need to constantly rewrite automations. For more AI-forward developers building products on top of legacy apps, they have to resort to insecure hacks, like exposing backdoors on their users’ computers, simply to get an automation pushed down it, after which they still must deal with the brittleness inherent to hardcoded automations.I’m deeply excited about this problem because, despite all the change in the world with AI, one thing is for certain: enterprises will keep using Windows."
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      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "As the global labor output increases tenfold with agents, we’ll be the personal computers they use to interface with the business world."
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/butter.json",
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        "full_name": "Erik Dunteman",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO at Butter.dev (acquired by Modal 2026). I work on sandboxing, filesystems, and virtualization. Previously founded Banana.dev, a serverless GPU platform where we hosted production-critical inference jobs for more than 3,000 AI teams. I run ultras and enjoy travelling with zero plans.",
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      {
        "id": 87161,
        "title": "Pig 🐷 - Automate Windows apps with AI",
        "tagline": "Pig is an API for automating workflows in Windows applications.",
        "body": "# TL;DR\n\n[Pig](https://pig.dev) is an API for automating Windows desktops with AI.\n\nTeams can connect their own Windows machines to Pig, open up a chat, and instruct an AI to perform workflows on that computer, over the internet.\n\nPig’s agent operates computers as humans would, performing high-value automations that were previously not possible. \n\n[Sign up here](https://www.pig.dev/login#auth-sign-up)\n\n# The Problem\n\nMany enterprise tools, from electronic health records to manufacturing supply-chain apps, are desktop-based and do not have a public API, preventing automation.\n\nTraditional hardcoded RPA automations can be brittle. Subtle changes in the desktop apps, like popups or slow loading, can derail an automation. And complex workflows which require planning and judgment are not possible.\n\nAs a result, human office workers are employed to do highly repetitive tasks, often involving transferring text between different desktop apps, spreadsheets, and emails.\n\n# Our Solution\n\n<https://youtu.be/qC8WTFtKYOA>\n\nIn this example, we show what’s possible building on Pig. \n\nWe first connect our own Windows machine using our open-source [Piglet](https://github.com/pig-dot-dev/piglet) computer driver\n\nAnd then we start an AI chat powered by the [Claude Computer-Use](https://docs.anthropic.com/en/docs/build-with-claude/computer-use) model:\n\n![Chat interface for automation](https://www.pig.dev/_next/image?url=%2FChatFeature.png&w=3840&q=75&dpl=dpl_GKdZd2HZi9eL2zCkbzmv3rzJACTW)\n\nThe AI is then given high-level tasks, and it begins to work, using Pig’s human-emulating APIs such as:\n\n* Screenshotting the desktop screen\n* Clicking at coordinates\n* Entering keystrokes\n\nAll of which are enough to complete the task.\n\nPig also provides a developer SDK, allowing teams to build their own agents, manage their connected machines, and send automations to their desktops. Purpose-built agents can be incredibly powerful, so [contact us here](https://www.pig.dev/talk) to talk through custom implementation.\n\n![uploaded image](/media/?type=post&id=87161&key=user_uploads/265552/644dc367-8cac-45ba-b919-22e6664088b4)\n\nLastly, Pig includes tools for agents to pass control to human operators during critical operations, such as clicking send on important emails, inputting payment information, or solving captchas.\n\n![uploaded image](/media/?type=post&id=87161&key=user_uploads/265552/d4cec1ed-390a-4ba1-8c48-b5d5173e9668)\n\nWe intend to be the personal computers for AI, and the embeddable observability window for managers.\n\n# Use Cases\n\nKiller use-cases of Pig involve the following factors:\n\n* the workflow requires a Windows desktop app\n* The app does not have a public API\n\nI expect to be surprised by what people build on Pig, but I’m most optimistic for use of:\n\n* Office Suite\n* Electronic Health Record Software\n* Claims Processing Software\n* Factory Control Systems\n* Lab Software\n\n# Team & Background\n\nI’m Erik, a second-time founder, with five years spent building cloud infrastructure.\n\n![uploaded image](/media/?type=post&id=87161&key=user_uploads/89898/6b51d5af-79d8-4d30-ad7e-f3e221dd3b53)\n\nMost notably, I built [Banana](https://banana.dev), a serverless GPU product used by more than three thousand teams to host production inference jobs.\n\nPrior to Banana, I built a cloud desktop product for accelerating 3D design apps. Following Banana, I had the privilege to work with our former competitor, [Modal](https://modal.com), on their serverless Python cloud.\n\nWhy am I building Pig?\n\nThroughout 2024, I spent my time experimenting with new technologies and building up a thesis for what the future of AI tooling would be. After poking around a few wild ideas (such as data centers in space and internet-over-laser), I boomeranged back to the area that I know and love: compute infrastructure.\n\nAn AI founder friend called me up in Nov 2024, pitched me on this idea as something he needed to see in the world, and said, “Erik, you’re the single best founder to build this.”\n\nAnd I agree. I am.\n\n# How to become a user\n\nPig just launched open and free access to users self-hosting their machines.\n\nGet started today at [**pig.dev/docs**](http://pig.dev/docs), or [**contact us**](https://pig.dev/talk) for help building custom agents and I’ll reach out!\n\nAnd if you don’t need Pig, please tell at least one friend about it.\n\nOink!\\\nErik\n\n![uploaded image](/media/?type=post&id=87161&key=user_uploads/265552/70b01c11-9da9-4db0-976c-1162ca31f323)\n\n",
        "url": "https://www.ycombinator.com/launches/Mfp-pig-automate-windows-apps-with-ai",
        "votes": 29,
        "created_at": "2025-01-25T05:15:55.541Z"
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    "name": "Atlog",
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    "website": "https://atlog.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Atlog creates voice agents with built-in compliance purpose built for Outbound. Companies use Atlog to automate their calls and texts without worrying about getting sued.",
    "one_liner": "Outbound voice and text AI without a prompt",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
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    "year_founded": 2024,
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    "country": "US",
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        "full_name": "Vraj Parikh",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Atlog; Amateur Science Historian ",
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        "full_name": "John Bettinger",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/atlog/jobs/G3dYJIW-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
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        "skills": [
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    ],
    "news": [
      {
        "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6",
        "date": "Jun 10, 2025"
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    "id": 30339,
    "name": "Ergo",
    "slug": "ergo",
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    "website": "https://joinergo.com",
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    "long_description": "Ergo is AI revenue infrastructure for B2B sales teams. It ingests every customer interaction (calls, email, Slack, calendar) and turns it into deal health scores, forecasts, ready-to-send follow-ups, rep coaching, and clean pipeline data, automatically. Reps skip the admin, deals stop slipping, and leaders get a pipeline they can actually trust.\r\n\r\nTeams can use Ergo to consolidate and replace tools like Gong, Attention, Superhuman, Vitally, call recorders, and more. Onboarding backfills your historical calls, emails, and deal data, so you don't start from scratch.\r\n\r\nErgo is backed by Y Combinator and FundersClub, and trusted by sales teams at Pylon, Rho, Retell AI, Warp, Oneleet, and Whop.\r\n\r\nBook a demo at joinergo.com.",
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    "subindustry": "B2B -> Sales",
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        "full_name": "Yash Dulla",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yash-dulla/",
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        "full_name": "Ishan Sheth",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Ergo. Studied Computer Science and Economics at Georgia Tech. Previously founded Breezy Medical, which provided AI nurses for medical documentation and reimbursements. Also did software/ML for a handful of tech startups and a bank.",
        "is_active": true,
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        "title": " Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/ergo/jobs/N4uRYHv-sales-development-representative",
        "location": "San Francisco, CA, US",
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        "salary_range": "$85K - $105K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
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        "id": 104837,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/ergo/jobs/M4V6K9g-founding-account-executive",
        "location": "San Francisco, CA, US",
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        "equity_range": "0.10% - 0.40%",
        "experience": "3+ years",
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        "id": 104838,
        "title": " Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/ergo/jobs/9EzPf70-sales-development-representative",
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        "id": 87020,
        "title": "Ergo – Revenue infrastructure for high-growth sales teams",
        "tagline": "We connect every conversation your team has and build the unified data layer that moves deals forward.",
        "body": "**We're Yash and Ishan, co-founders of Ergo.**\n\n**Ergo is the revenue infrastructure for teams growing faster than their systems can keep up.** We connect the conversations your team is already having, across calls, email, Slack, and more, and build a unified data layer that moves deals forward.\n\nTeams like [Rho](https://rho.co), [RetellAI](https://retellai.com), [Whop](https://whop.com), [Agency Cybersecurity](https://getagency.com), [Corgi](https://corgi.insure), and [Greptile](https://greptile.com) are already running on Ergo.\n\n**📉 The Problem**\n\nRevenue teams are drowning in fragmented data. Your reps are on six different communication channels. None of it connects. None of it acts on itself.\n\n* Deals slip because no one followed up at the right moment\n* Leadership asks reps what's happening instead of just knowing\n* Marketing sequences run on empty fields because the right data never made it in\n* AEs walk into calls without context because handoffs live in someone's Slack DMs\n\nThe conversations are happening. The signal is there. It just never goes anywhere.\n\n**📈 The Solution**\n\nErgo plugs into every channel where your team talks to prospects and customers and builds a unified data layer across all of it. Every call, email, and message gets structured into a single source of truth your entire revenue org can act on.\n\n* **For revenue teams:** Structured deal data captured automatically across every call, email, and message, without touching your CRM\n* **For reps:** Follow-ups drafted and surfaced at the right moment, every time\n* **For managers and founders:** Real-time pipeline visibility without chasing anyone for updates\n* **For RevOps and marketing:** Clean, structured data that actually powers your sequences and reporting\n\n**⚙️ How It Works**\n\n1. **Connect your channels** — Zoom, Google Meet, Gmail, Outlook, Slack, dialers. Wherever your team talks to customers, Ergo listens.\n2. **Structure the signal** — Every conversation becomes structured, actionable data across your pipeline.\n3. **Execute on what's next** — Follow-ups drafted. Deals surfaced. Pipeline moving. No manual work required.\n\n**🎬 Our Story**\n\nWe started at Georgia Tech, and got our first real signal at a YC-backed startup in SF. We spent four days embedded with their sales team and watched 15-20 daily calls evaporate into missed follow-ups and stale records. We built a first version over a weekend that unlocked $75K in closed contracts. That problem turned out to be everywhere.\n\nToday Ergo supports revenue teams running their entire bottom-of-funnel motion, from first conversation to close to expansion, without the admin.\n\n**👉 [joinergo.com](http://joinergo.com)** Questions? [yash@joinergo.com](mailto:yash@joinergo.com) or [ishan@joinergo.com](mailto:ishan@joinergo.com)",
        "url": "https://www.ycombinator.com/launches/MdY-ergo-revenue-infrastructure-for-high-growth-sales-teams",
        "votes": 23,
        "created_at": "2025-01-21T19:55:12.638Z"
      }
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    "id": 30340,
    "name": "TamLabs",
    "slug": "tamlabs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.png",
    "website": "https://tamlabs.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "TamLabs agent teams deliver professional work products with speed and precision.",
    "one_liner": "Agent teams for complex work",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1740176772,
    "tags": [
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      "Workflow Automation",
      "Legal",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/tamlabs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tamlabs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 2271465,
        "full_name": "Joshua Doolan",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at TamLabs (W25). Previously, Blackstone Data Science, deployed AI solutions across PE portfolio and led data science diligence for PE. Harvard AB/SM in Computer Science, focus in AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshua-doolan",
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      {
        "user_id": 2271471,
        "full_name": "Ben Doolan",
        "title": "Founder/COO",
        "founder_bio": "COO & Co-Founder at TamLabs. Worked across private equity, consulting and policy. Studied physics and classics at Georgetown. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-doolan-66aa64204/",
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    "id": 30341,
    "name": "Browser Use",
    "slug": "browser-use",
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      "browser-use"
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    "website": "https://browser-use.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We enable AI to control the browser. \r\nBrowser-use is the biggest open-source web agent project with 110k+ Github stars.",
    "one_liner": "Agents that use the browser.",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1734712888,
    "tags": [
      "Open Source",
      "API",
      "Automation",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/browser-use",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/browser-use.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/browser-use",
    "x_url": "https://x.com/browser_use",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/browser-use",
    "github_url": "https://github.com/gregpr07/browser-use",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 2614311,
        "full_name": "Magnus Müller",
        "title": "Founder/CEO",
        "founder_bio": "CEO of browser-use.\nRepeated founder. Scraping hobbyist + ML researcher.\nI have published for Cambridge CARES, studied Data Science at ETH Zurich, and worked in R&D for process automation companies. \nSince I learned to code, I have developed bots and web automations.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/magnus-mueller  ",
        "x_url": "https://x.com/mamagnus00",
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      },
      {
        "user_id": 2611702,
        "full_name": "Gregor Zunic",
        "title": "Founder/CTO",
        "founder_bio": "I love solving hard problems. Data Science masters at ETH Zurich, bachelors in Physics.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gregorzunic",
        "x_url": "https://x.com/gregpr07",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e41c2f60aa7a0d2a3d38cf19d6d87d9f5c8ca3ef.jpg"
      }
    ],
    "jobs": [
      {
        "id": 75451,
        "title": "Summer Software Engineering Intern (now and Summer 2026)",
        "url": "https://www.ycombinator.com/companies/browser-use/jobs/JwGWpEP-summer-software-engineering-intern-now-and-summer-2026",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$6K - $16K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "Python"
        ]
      },
      {
        "id": 75884,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/browser-use/jobs/jDXD9an-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$175K - $300K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "Machine Learning"
        ]
      },
      {
        "id": 79630,
        "title": "Infra god",
        "url": "https://www.ycombinator.com/companies/browser-use/jobs/8BYM83A-infra-god",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$200K - $350K",
        "equity_range": "0.50% - 1.40%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "Go",
          "Python",
          "Rust"
        ]
      },
      {
        "id": 107014,
        "title": "Founding Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/browser-use/jobs/ji4Im8S-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200 - $300",
        "equity_range": "0.50% - 1.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107158,
        "title": "Founding Engineer (ex-YC founders only)",
        "url": "https://www.ycombinator.com/companies/browser-use/jobs/rxVZd5T-founding-engineer-ex-yc-founders-only",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $400K",
        "equity_range": "0.50% - 1.40%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Browser Use, the tool making it easier for AI 'agents' to navigate websites, raises $17M | TechCrunch",
        "url": "https://techcrunch.com/2025/03/23/browser-use-the-tool-making-it-easier-for-ai-agents-to-navigate-websites-raises-17m/",
        "date": "Mar 23, 2025"
      },
      {
        "title": "Browser Use, one of the tools powering Manus, is also going viral | TechCrunch",
        "url": "https://techcrunch.com/2025/03/12/browser-use-one-of-the-tools-powering-manus-is-also-going-viral/",
        "date": "Mar 12, 2025"
      }
    ],
    "launches": [
      {
        "id": 87243,
        "title": "Browser Use: Open Source alternative to OpenAI Operator",
        "tagline": "We enable AI to control your browser.",
        "body": "Hey everyone, we're Gregor and Magnus we are excited to launch Browser Use Cloud!\n\n# What is Browser Use (Cloud)?\n\nWe started this project 3 months ago because it simply wasn’t possible to use the Browser with any LLM. We thought “How hard could it be to build the interface between LLMs and the web?” Fast forwarding 3 months, we have combined 25k ⭐ on Github and our Open Source community is growing fast.\n\nFour days ago, OpenAI launched Operator. Since then, our community has been asking non-stop for a hosted version of browser-use. So we shipped that. Now you can use Browser Use as a B2C chat tool at <https://cloud.browser-use.com/>. We are releasing the API in the next few days. If you need API access for web agents, call us, don’t wait for the Open AI Operator API to be released!\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/bc5949c1-a906-4131-a621-d7da318dda1a)\n\n# Existing problems\n\nDuring many conversations with our discord community of 5000 people, we identified these core challenges in browser automation:\n\n* Websites change, and this breaks automation scripts. You usually only notice this, when it's too late.\n* Websites often catch bots. To avoid this, you need to use different IP addresses, solve captchas, and act more like a human.\n* Many people get frustrated with rate limits, parsing errors and API key management, when they do LLM-based scraping.\n* The most useful tasks often require you to log in. This can be a pain, especially if you have to type in your username and password every time.\n\n[Browser Use hosted version](https://cloud.browser-use.com/) addresses these challenges by handling proxy rotation, maintaining persistent sessions - so you only need to login once, and allowing you to run as many instances in parallel as you need. We've priced it at $30/month, significantly lower than Operator.\n\nOn the open-source side, browser-use remains free and flexible. You can use any LLM you prefer - from Gemini to Sonnet, Qwen, and even DeepSeek-R1. It comes with an MIT license and full customisation options.\n\nThis week, we're working on follow-up questions, task reruns, voice mode, and scheduled agent starts. If you want to build automations directly into your products call us, we are happy to explore your use cases and help you set get set up with the API or even custom integration.\n\n**Our vision is simple**: tell your computer what to do, and it gets it done.\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/1ac17208-7147-4696-aa13-7e67a4be8329)\n\nWe'd love to hear from you. What automation challenges are you facing? How do you think people will interact with computers in the future?",
        "url": "https://www.ycombinator.com/launches/Mh9-browser-use-open-source-alternative-to-openai-operator",
        "votes": 47,
        "created_at": "2025-01-28T18:40:53.679Z"
      }
    ]
  },
  {
    "id": 30343,
    "name": "Cedar",
    "slug": "cedar",
    "former_names": [
      "ByteBelli",
      "lawyai (name in progress)",
      "GraphIQal"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d689d59276a36e33100281dbe98a74bcaf59a06.png",
    "website": "https://mail.cedarcopilot.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cedar helps the fastest growing GTM teams ramp up new reps faster & spread top rep playbook throughout the team. AE's at Cursor, Corgi, Pylon, and Warp use Cedar to save 75% of admin time on CRM updates, follow-ups, and deal strategy. \r\n\r\nBacked by YC with an ex-Figma, Notion, and Intuit team, Cedar was built by spending hundreds of hours with the best AE's in industry – we've built a playbook for the fastest growing teams and founders ramping up sales, and we'll use it to automate the busy work so you can sell more, better.",
    "one_liner": "Execute the best sales playbook in industry",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1739293549,
    "tags": [
      "Sales",
      "Sales Enablement",
      "CRM",
      "Email"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
    "question_answers": [
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We're going to make all software agentic. Currently we're adding an AI native copilot that's deeply understanding users and products at scale, and generating instructions for users. These instructions are just the first step for executing tasks for the user directly and autonomously."
      }
    ],
    "url": "https://www.ycombinator.com/companies/cedar",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/cedar.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 561766,
        "full_name": "Jesse Li",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Cedar. \n\nB.S. in Computer Science at Georgia Institute of Technology.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jesseli751",
        "x_url": "https://x.com/fish_in_a_pool",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a47b7c8b3340e195a7728c8502a1900c8307a5a9.jpg"
      },
      {
        "user_id": 1652458,
        "full_name": "Isabelle Ilyia",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Cedar (YC W25). Previous software engineer @ Figma, Notion, and LinkedIn.\n\nStudied Computer Science @ Georgia Tech.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/isabelle-i ",
        "x_url": "https://x.com/isabelleilyia",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5eac10f537c8b9f14b78bfabd0ec645d708071ac.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 87967,
        "title": "Cedar 🌲 In-product AI copilot & PMF analytics for any app",
        "tagline": "Cedar is an AI copilot for any app. Imagine the founders themselves being behind every user’s screen: actively guiding them, answering product how-to’s, and upselling.",
        "body": "Hi everyone! It’s Jesse & Isabelle from Cedar :)\n\n### How do we productise conversion optimisation?\n\nIn business terms, we do two things:\n\n1. We let you understand your user’s stories at scale. What do they want from your solution? What are they specifically trying to do on your software? Who are they?\n   1. We do this by pulling your existing analytics and adding a thin layer of our own. You can re-target churned users when a relevant feature comes out, inform product roadmaps, and most importantly use it to find PMF.\n\n      ![uploaded image](/media/?type=post&id=87967&key=user_uploads/561766/7f7d6dc9-b759-454c-a897-e94b5dd76197)\n\n2. We use those analytics to increase conversion & retention, from pre-sale to activation/onboarding and beyond.\n   1. Create individualised sales materials and activation flows to bring more users to their magic moment.\n   2. Instead of not knowing how to do X and being blocked until customer support replies (or worse, churning), Cedar instantly responds.\n\n      ![uploaded image](/media/?type=post&id=87967&key=user_uploads/561766/aa9b2e93-ed62-469a-9f49-c1e4a1de8596)\n\n\nThink of a general-use product like Notion. Imagine if every user saw a landing page that explains **exactly** how Notion helps them reach their goals. When they sign up, an activation flow walks them through solving a relevant problem they face every day. Then, as they use the app, an AI copilot makes them a power user, without the need to leave the app.\n\n### Demo Video\n\n<https://youtu.be/w73bNTbAjDg>\n\n### Our story\n\nIn more personal terms, we find it deeply wrong that people make awesome, valuable software that doesn’t reach people simply because of things like UI/UX or messaging. We turn every user into a power user - with the retention and promoter scores that come with it.\n\nWhile AI is scaling engineering teams, we’re going to be the growth and customer success team in one product, with one centralized source of user knowledge.\n\nJesse worked at Intuit, learning the science and fun of making boring software (don’t tell TurboTax) that converts and serves customers of all tech literacy levels.\n\nIsabelle worked at Figma and Notion, learning the struggles of getting users to effectively use powerful yet complex products and the GTM strategies to reach them.\n\n![uploaded image](/media/?type=post&id=87967&key=user_uploads/561766/5e1e1044-3d46-4999-a6d8-d6ee4c3713c8)\n\n### Ask:\n\nIf you’re interested, or know any companies interested in:\n\n* Activation Conversion: Increasing % of users who get relevant value from your product at least once.\n* User Intent Analytics: Understanding what are your users trying to do, when and why they churn to intervene at the right moment, and re-engaging users based on criteria (e.g target users who churned due to missing features once implemented)\n* Flattening learning curves: Value is useless if your customer doesn’t know how to effectively use your product to get it (both pre and post-sale).\n\nPlease reach out! Email us at [founders@cedar.law](mailto:founders@cedar.law), we’re already working with companies from seed to series A and would love to help more, whether with just a chat or a full partnership :)",
        "url": "https://www.ycombinator.com/launches/Msp-cedar-in-product-ai-copilot-pmf-analytics-for-any-app",
        "votes": 46,
        "created_at": "2025-02-25T18:04:40.924Z"
      }
    ]
  },
  {
    "id": 30345,
    "name": "Codevisor",
    "slug": "codevisor",
    "former_names": [
      "851 Inc.",
      "851",
      "AI Emojis",
      "emojis",
      "emojis.com",
      "Lightbox",
      "emojis.com",
      "Tee Time Tommy"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36fd79daacb53819fc86fd68b564556a5bd51a64.png",
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    "all_locations": "San Francisco, CA, USA",
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        "id": 93587,
        "title": "Lightbox - Cursor for Content Creation",
        "tagline": "From idea to brand, merch, or UGC — all in one AI-native flow.",
        "body": "[_Lightbox_](https://www.lightbox.sh/) is a new brand and product, previously known as [emojis.com](http://emojis.com).\n\nhttps://youtu.be/PC65mXUoXvM\n\nPipeline: https://www.lightbox.sh/pipeline/apJhpW4fBMa\n\n### Story\n\nLightbox came out of our own frustration of duct taping AI tools together. The GenAI space for image/video models is a complete s\\*\\*t show, always chaining together different models and jumping across tools.\n\nWe had had enough of it, so we went to the drawing board, and we asked ourselves one question: What would an AI native creative tool look like, if built from the ground up?\n\nToday, we’re launching our first experiment — Pipelines. All batteries included workflow builder for generative AI. The goal is _an **infinitely flexible tool for your creative process**_.\n\nIf you think that’s all we’re building…you would be wrong. We’re too naive to stop here. There are two more experiments cooking in order to complete our vision for the creative suite.\n\nFor the time being, here’s Pipelines in action:\n\n### Agentic and Conversational\n\nLightbox works just like Cursor, use chat to explain your changes and watch it go brrrr. Here’s an example of it generating testimonial videos about Salesforce.\n\n![](https://attic.sh/_static/yc/bf-lightbox-salesforce-testimonial.gif)\n\nPipeline: https://www.lightbox.sh/pipeline/cBb1SMxX1fv\n\n### Product Photo Shoots\n\nChoose a model, upload your merch (i.e., hoodie), and watch the pipeline generate a photoshoot for you.\n\n![](https://attic.sh/_static/yc/bf-lightbox-photoshoot.gif)\n\nPipeline: https://www.lightbox.sh/pipeline/EKbin5Y96TO\n\n### Youtube Face Reactions\n\nIn need of face reactions for YouTube thumbnails? There’s a Pipelines for that!\n\n![](https://attic.sh/_static/yc/bf-lightbox-youtube-face-reactions.gif)\n\nPipeline: https://www.lightbox.sh/pipeline/4nrRoxZifJ2\n\n### How can you help?\n\nIf any of the demos got your gears running, give Lightbox a try! You can use promo code YC10 for $10 worth of credits. Would love to hear your thoughts and see if we can help.\n\nWe’re also looking for businesses and creative agencies that want to automate design work. Anything from photo shoots, ads, UGC, and in between.\n\nYou can reach us at [founders@lightbox.sh](https://mailto:founders@lightbox.sh), or send us a message directly on [X/Twitter](https://x.com/pondorasti).",
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        "title": "emojis.com - AI Copilot for graphic design",
        "tagline": "We allow small businesses to easily create brand assets, like logos and icons, with AI",
        "body": "# \n\n### TL;DR\n\nOur mission is to give small businesses an AI Graphic Designer to help them create a brand and identity without having to pay 💰💰💰 of dollars hire someone.\n\n### Backstory\n\nBack in October, 2023, we’ve tweeted about a little side project for creating emojis with AI that went on to be called [**“_best app of 2023”_**](https://x.com/rauchg/status/1709318615911317621).\n\nOver the course of the following year, we’ve turned this idea into a full fledged consumer app:\n\n* launched [iOS](https://apps.apple.com/us/app/ai-emojis-keyboard/id6468916301) app and became the [**#1 app in Graphic and Design**](https://x.com/pondorasti/status/1855326867605340553)\n* deeply integrated with messaging platforms like iMessage and WhatsApp\n* and grew to 2.5M users that generated over 5M emojis\n\n![uploaded image](/media/?type=post&id=88060&key=user_uploads/688130/13e428c7-74f3-4ba8-8d9b-024c79aa381e)\n\n### Learnings / The Problem\n\nWhat we’ve learned from our consumer app is that majority of our power users are actually closer to business use cases:\n\n* **small businesses** and **indie hackers** using ai emojis for website icons\n* **influencers** and **creators** using ai emojis for social media posts and thumbnails\n* **teachers** and **students** using ai emojis for courses and assignments\n\n![uploaded image](/media/?type=post&id=88060&key=user_uploads/688130/3f699bb3-9d89-4774-b5fd-ed81d43570be)\n\n### What’s next? / The Solution\n\nWe’re doubling down on providing value for small businesses and expanding to a suite of models that can become your one stop shop for graphic design needs:\n\n* ai **illustrations** for websites and blogs\n* ai **stickers** for your business\n* consistent ai **characters** and **mascots** for your brand\n\nEvery company should be able to have their own “octocat” brand identity, and we’re making that a reality with AI.\n\n![demo](https://attic.sh/_static/yc/bf-v2-imagine-demo.gif)\n\n### Our Ask\n\nIf you (or anyone you know) are looking for an AI Copilot to help create brand assets like icons, illustrations, and stickers, we’d love to chat and see how we can help!\n\nYou can reach us at [founders@emojis.com](mailto:founders@emojis.com), or send us a message directly on [X/Twitter](https://x.com/pondorasti).\n\n### The Team\n\n**Dylan Player** - Co-Founder & CTO at [emojis.com](http://emojis.com). Former software engineer at Shopify, building new lending products and scaling to over $10B in lending volume.\n\n**Alexandru Turcanu** - Co-founder and CEO at [emojis.com](http://emojis.com). Previously, led posts initiative at Campsite (acq by Notion).\n\n![uploaded image](/media/?type=post&id=88060&key=user_uploads/688130/f3b1e7e1-40c5-4f13-b50f-fd3184e3f7ab)\n\n",
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        "url": "https://www.ycombinator.com/companies/mercura/jobs/NZKIfDF-business-development-representative-bdr",
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        "id": 88089,
        "title": "Mercura: Quotes in minutes, not days",
        "tagline": "Mercura automates sales quotations for HVAC, electrical and plumbing distributors & manufacturers.",
        "body": "# **📜 Background:**\n\nCo-founder Lukas Bock grew up in a family business with over 100 years in plumbing and electrical trades. He’s seen first-hand how manual quoting in the construction industry is.\n\nInspired by this legacy, Mercura is now using AI to transform how millions of sales reps at distributors & manufacturers work.\n\n# **❌ Problem:**\n\nWhen contractors bid on construction projects, they request quotes from distributors and manufacturers, often in unstructured formats like emails, Excel files, and PDFs. These requests contain functional product requirements but frequently lack details.\n\nDistributors and manufacturers employ massive inside sales teams that manually interpret these requests, compare specifications with their product catalog, and select suitable products.\n\nThis slow, manual, and error-prone process holds off inside sales teams from their core task—selling—while delaying responses to customers and increasing the risk of lost revenue.\n\n<https://youtu.be/Bn-ENaj_6Tc>\n\n# **🪄 Solution:**\n\nMercura automates sales quotations for HVAC, electrical and plumbing distributors & manufacturers.\n\nBy eliminating repetitive back-office tasks with AI, our software enables sales teams to process RFQs in minutes instead of days. This lets them focus on winning more deals and driving revenue.\n\nOur customers use Mercura to quote significantly more requests automatically, which allows them to maximize their sales potential and win more customers.\n\nThis is how it works:\n\n1. **Customer request intake** – Requests arrive in various formats (PDFs, Excel, emails, etc.) and must be processed into the ERP.\n2. **Data extraction** – Our AI extracts relevant product information, such as product descriptions, types, manufacturers, part numbers, and quantities, and structures it correctly.\n3. **Validation & matching** – Our AI matches line items with the distributor’s product catalog, and suggests the best matches based on the customer’s sales history.\n4. **ERP entry** – The quote is automatically entered into the ERP.\n\n# **🌟 About us:**\n\n**Lukas Bock** grew up in a family business with over 100 years in construction. After working as an AI engineer at Google X and Data Scientist at Allianz, he’s now back in the industry to transform how sales reps work.\n\n**Hai Dang** is an AI researcher with experience at Meta and Autodesk, holding patents and over ten first-authored papers at top-tier conferences. He’s an expert in human-AI collaboration and now applying his research to this domain.\n\n**Stefan Zheng** improved operations efficiency across 15+ manufacturing plants as a consultant at Bain. He’s excited to drive sales efficiency in wholesale distribution at scale.\n\n# **🙏 Our Ask:**\n\n1. Intro us to HVAC, electrical and plumbing distributors & manufacturers - we give you 20% of the first monthly fee if we close a deal!\n2. We’d love to hear your thoughts and feedback at [founders@mercura.ai](mailto:founders@mercura.ai)\n\nYour help can make a huge difference. **Thank you!**\n\n\\- Lukas, Stefan & Hai\n\n![uploaded image](/media/?type=post&id=88089&key=user_uploads/555541/c0da4321-ccfa-4a0d-8235-868afb347324)\n\n",
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        "body": "# Unreliable RAG or code generation? We can help.\n\nReasoning models have been all the rage lately because they beat generic benchmarks. The problem is that your business isn’t a generic benchmark - it’s a set of specific vertical tasks like codegen, compliance, legal or healthcare. Massive companies like Google and OpenAI have internal tools to train their models, but those aren’t available to the people that need it: the developers deploying these models into production.\n\nWe’ve personally been involved on both sides: Jackson optimized the Gemini models at Google and Mason hit the limits of off shelf models while leading engineering at Second (YC W23).\n\nSo we created **TrainLoop**, packaging the same RL techniques big AI labs use into an accessible platform. Our process is three simple steps:\n\n1. **Data Curation:** Our lightweight SDK (just three lines of code) gathers training signals from actual usage.\n2. **Training:** We build a reward model that teaches your LLM what output you prefer.\n3. **Inference:** Deploy automatically and call your model via standard APIs.\n\n<https://youtu.be/XhbxHOzsxRE>\n\n# Ready to Level Up Your Model?\n\nIt’s time to move past “prompt-hell” and unreliable outputs. [**Join our alpha**](https://app.trainloop.ai/waitlist) to make your language model an expert in your business and unlock production-ready performance.",
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        "body": "Hey! We’re Kevin and Regina from [Dexterity](https://getdexterity.com/). Today, we’re launching Dex—the fastest interface for co-working with AI, right inside your browser.\n\n**TLDR:** **AI that works _with you,_ not just for you**. 10x your workflows without breaking your flow. Try [**Dex**](https://youtu.be/H6hMAVkGp8M) (Beta) → [**getdexterity.com**](http://getdexterity.com)\n\n### **Why We’re Building This**\n\n**Four weeks before Demo Day, we pivoted to build for ourselves.**\n\nMost AI web agents today are “set-and-forget” chats—you hand them off and check back later. But what about workflows you actually _want_ to drive? Navigating platforms, moving data, making quick decisions—these moments demand instant, context-aware models that work with you, not just for you.\n\nImagine using Operator to order DoorDash—a frustratingly back-and-forth relay with no real-time visibility. That same friction exists for work tools like Jira, GSuite, and GitHub, where users need instant feedback and responsive action, not slow AI handoffs.\n\n**That’s why we’re taking a Cursor (vs. Devin) approach—for the browser.**\n\n### **The Problem**\n\nModern work is a juggling act of 15+ tabs, software bloat, and constant UI friction, just to complete a single task.\n\nThe real bottleneck isn’t just automation—it’s context switching. Traditional solutions force users to memorize shortcuts (appeals to devs, but leaves everyone else behind), while AI tools make you adapt to them instead of living right where you work.\n\n**Why not turn your browser itself into an intelligent personal workspace?**\n\n### **How It Works**\n\nWith simple voice and text, Dex enhances familiar interfaces, automates mundane actions, and understands your intent.\n\n* **Smart Navigation**🔸Find, execute, and move between apps.\n* **Suggest Context**🔸Cut down tab-switching and manual searching.\n* **Cross-App Automation**🔸Shortcut multi-step workflows, zero setup.\n* **Adaptive UI/UX**🔸Reshape, replicate, and browse by your rules.\n\nThink of it like Spotlight Search meets AI automation + personal expert for everyday apps.\n\n![uploaded image](/media/?type=post&id=87902&key=user_uploads/1003357/5841f4c8-281d-4bdd-a4b0-053d44c7b41d)\n\n### **Use Cases**\n\n* **GSuite** – Write emails, find docs, and move data anywhere.\n* **GitHub** – Search repos, manage issues, and navigate faster.\n* **Omni AI** – Talk to and reference live tabs or integrated apps.\n\n### **Coming Soon…**\n\n* **Meetings** 📅 → Create and join calendar and Zoom events instantly\n* **Sales** 💼 → Automate clicks across LinkedIn, Sheets, and Apollo.io\n* **Snippets** ✂️ → Dex captures notes, links, and frequent snippets\n* **Food** 🍔 → Speak to browse options and order DoorDash\n\n### **Our Ask**\n\nWe’re building Dex for power users, founders, students, and curious explorers—because that’s who we are.\n\n[**Join our waitlist**](https://getdexterity.com/) → **Get notified when Dex goes live on the Chrome store**.\\\n[**Follow us on Twitter**](https://x.com/dexterity_ai) → Stay updated on latest features.\\\n[**Discord**](https://x.com/dexterity_ai) → Get to know us more personally + brainstorm cool ideas.\n\nDrop dream features to [regina@getdexterity.com](mailto:regina@getdexterity.com) and let us know what you think!",
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        "body": "We’re Antony and Corbin - cofounders of [Artifact](https://www.artifact.engineer/)!\n\nIn our past life, we built custom Mach 5 jet engines together - with the electrical designs living on iPhone pictures of whiteboards. We’re here to _finally_ bring electrical design tools to the modern age\n\n**The ask:** if you’re a hardware engineer building complex electrical systems, email us at [antony@artifact.engineer](mailto:antony@artifact.engineer) or [schedule a demo](https://calendly.com/antony-artifact/20min)!\n\n<https://www.youtube.com/watch?v=dvljACPVPLQ&ab_channel=Artifact>\n\n# **THE PROBLEM:**\n\n**Electrical system design tools have lagged behind modern-day needs:** \n\n1. Manually reading datasheets takes too long and is error-prone\n2. Visio, [draw.io](http://draw.io), or Excel don’t have built-in electrical capability\n3. Linking low and high-fidelity designs is manual and error-prone\n4. Manufacturing drawings are manually drawn and fall out of sync\n\n# **THE SOLUTION:**\n\n**We’re building a single-source-of-truth electrical tool with AI hooks:**\n\n1. Use our AI datasheet parser to generate pinouts\n2. Embed electrical capabilities (e.g. parts libraries & design checks)\n3. Link Low-fidelity block diagrams and high-fidelity details\n4. Autogenerate manufacturing drawings from system definition\n\n![Datasheet Parser - GIF](https://www.tella.tv/api/stories/cm6pp3qgg000f0albb2wggcvs/thumb.gif?version=2025-02-03T23:51:06.063Z&resolution=1280x720&inpoint=0)\n\n![Add a PCB - GIF](https://www.tella.tv/api/stories/cm6ppk7ol00050aju8juk1tia/thumb.gif?version=2025-02-03T23:55:08.369Z&resolution=1280x720&inpoint=0)\n\n# **OUR TEAM:**\n\n**We built jet engines together - now we’re building tools we wish we had**\n\n![No alt text provided for this image](https://media.licdn.com/dms/image/v2/D4E22AQHTwK48z-Lt3w/feedshare-shrink_2048_1536/B4EZSHiAHvGYAs-/0/1737440631222?e=1741824000&v=beta&t=bRT80ya2jyp2sNJ7FWgvyVNTFeYXI-ZojpxzyEkOOCw)\n\n[Antony Samuel (CEO)](https://www.linkedin.com/in/antony-samuel/) is an electrical engineer who has spent eight years developing avionics and software for complex aerospace systems. Most recently, he was the Avionics Lead at Hermeus, where he built the team and infrastructure behind the avionics for the world’s fastest aircraft.\n\n[Corbin Klett (CTO)](https://www.linkedin.com/in/corbinklett/) is an aerospace engineering PhD from Georgia Tech, where he applied control theory research to robotic systems. After building embedded software for a high-speed aircraft prototype, he cofounded Artifact to build software to accelerate hardware engineering workflows.\n\n**Watch a more detailed technical demo here:**\n\n<https://www.tella.tv/video/cm6pmvpo6000c0bju7wkndp7c/view>\n\n![uploaded image](/media/?type=post&id=87430&key=user_uploads/2436016/73ae0568-6787-47a8-b086-db0bef921741)\n\n",
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        "full_name": "Simon Farshid",
        "title": "Founder/CEO",
        "founder_bio": "Simon is the Founder and CEO of assistant-ui. He previously co-founded READO, a book recommendation engine, and grew it to 140k MAUs. Simon started coding at age 12 and has won 8 hackathons in 5 countries.",
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        "title": "💬 assistant-ui - Open Source Typescript/React Library for AI Chat",
        "tagline": "The UX of ChatGPT in your own app, connected to your own AI agents.",
        "body": "Hi YC! I’m Simon, building **assistant-ui**, an open source Typescript/React library for AI chat.\n\nHundreds of projects use assistant-ui to build in-app AI assistants, including companies like:\n\n![Logos of LangChain, AthenaIntelligence, Browser Use, Stack AI](https://bookface.ycombinator.com/media/?type=post&id=87644&key=user_uploads/1152943/d3eda556-de8c-4404-b4be-c0295f9aeb8e)\n\nWith >50k+ monthly downloads, assistant-ui is the most popular UI library for AI chat.\n\n## **Getting Started**\n\nYou can get started by running **\\`npx assistant-ui create\\`** (new project) or **\\`npx assistant-ui init\\`** (existing project) in your terminal.\n\n![Gif showing the setup process, which takes under 30 seconds](https://bookface.ycombinator.com/media/?type=post&id=87644&key=user_uploads/1152943/17c78ae1-d8cf-4fc4-a8aa-056fe449da02)\n\n## **Features**\n\n* **Pre-built components**, fully customizable\n* **Connects to your backend**\n  * We have first class integration for **AI SDK** and **LangGraph** or build your own\n* **Generative UI**: Map LLM tool calls and JSONs to custom UI components\n* **Frontend Tool Calls:** Let LLMs take action in your frontend app\n* **Human Tool Calls:** Human approvals and input collection\n* **Chat history and analytics** via assistant-cloud (the hosted offering)\n\n## **Customization**\n\nThe API of assistant-ui is inspired by libraries like **Radix UI** and **cmdk**. Instead of a single monolithic chat component, we give you composable primitives and a great starter configuration. You have full control over the look and feel of every pixel while leaving auto-scrolling, LLM streaming and accessibility to us.\n\n![Photo showing the modular component structure. ComposerPrimitive.Input is the chat input field, ComposerPrimitive.Send is the send button.](/media/?type=post&id=87644&key=user_uploads/1152943/d8eacc69-2d94-4c43-8fab-2dcac5e7f029)\n\nSample customization to make a perplexity lookalike:\n\n![Perplexity lookalike Chat UI](/media/?type=post&id=87644&key=user_uploads/1152943/16e96ae2-d563-4f6c-9047-6c3485a1cb3d)\n\n## **Demo Video**\n\n[Demo Video](https://youtu.be/9eLKs9AM4tU?si=jm9GzoFAcyM_tPT-)\n\n## **About**\n\nI’ve wanted to build my own dev tool company since high school. Last year, I built the first version of assistant-ui because I needed the UX of ChatGPT in my own app. The app I was building didn’t work out, but few friends asked me about the chat UI. Since then, AI chat has became increasingly popular as a means for delegating tasks to AI agents. My focus is on enabling human <> agent collaboration through better UX and AX (agent experience).\n\n![Photo of Simon, the founder](https://bookface.ycombinator.com/media/?type=post&id=87644&key=user_uploads/1152943/d43c8332-b160-40d8-8f27-849bd82806e3)\n\n## **Ask**\n\n* [Check out example demos](https://www.assistant-ui.com/)\n* [Star us on GitHub](https://github.com/assistant-ui/assistant-ui)\n* [Join our Discord](https://discord.com/invite/S9dwgCNEFs)\n* [Book a sales call](https://cal.com/simon-farshid/assistant-ui)",
        "url": "https://www.ycombinator.com/launches/Mnc-assistant-ui-open-source-typescript-react-library-for-ai-chat",
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    "all_locations": "London, England, United Kingdom",
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    "subindustry": "B2B -> Infrastructure",
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    "batch": "Winter 2025",
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    "country": "GB",
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        "full_name": "Alex Tkachenko",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Artil. Previously founded Hashscan, blockchain analytics startup. Created Hodler, crypto portfolio tracker app (sold in 2022).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alextcn",
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        "title": "Fira MCP: Financial datasets in Claude and Excel",
        "tagline": "Connect SEC filings, UK Companies House, market data and earnings transcripts to your AI with source-cited answers",
        "body": "Reliable financial data access and trust in outputs are still the bottleneck in adopting AI in banking, consulting and investment firms. We built Fira MCP to solve that, starting from for teams adopting Claude. Our data connector lets your AI read and cite SEC and international filings, UK Companies House, market data, and earnings transcripts. It works with Claude, Claude for Excel, ChatGPT, and Copilot, while setup takes 3 minutes and it's free to try - <https://firaresearch.com/mcp>.\n\n<https://youtu.be/JoEY1imdVhw>\n\n### Problem\n\nMany banking, consulting, and investment firms are moving day-to-day AI work to Claude. But reliable data access and trust in the outputs are still the bottleneck.\n\n### Solution - Fira MCP\n\nFira MCP plugs directly into Claude, ChatGPT, Copilot, and Claude for Excel as a data connector. Your AI gets access to filings, transcripts, and market data, with numbers linked back to the exact paragraph or row in the source document. It handles scanned PDFs, nested tables, and works across tens of documents in a single research thread.\n\n## Available datasets\n\n* **SEC Filings** — 8,000+ active US companies (10-K, 10-Q, 8-K, and more)\n* **UK Companies House** — 5M+ private companies, including scanned accounts\n* **International filings** — 10,000+ companies across 50+ countries\n* **Earnings call transcripts** — full transcripts with analyst Q&A\n* **Market data** — 20+ years of daily stock and FX, US and global\n* **Custom datasets** — proprietary and third-party integrations for enterprise\n\n### Use cases\n\n**I. Peer comparison in Excel** — pull financials, strategy, and risk factors across competitors directly from filings.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/99b5fdce-2a4b-4053-a6c1-6b94ec87d578)\n\n**II. Corporate structure mapping** — trace ownership and financials through complex group structures from UK filings.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/c1665625-8a07-414d-ac76-b7ecd356b12b)\n\n**III. Earnings call analysis** — review management commentary and analyst Q&A for sentiment and evasive answers.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/7fb98502-0b18-4486-b7f7-5b6655161588)\n\n**IV. Document verification** — cross-reference every number against source, catch rounding deltas and inconsistencies.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/c11d5c2d-d1d3-4328-a4bb-63dd13aba8d6)\n\n### Asks\n\nLooking to connect with finance professionals (banking, PE, credit, hedge funds, wealth) who want their AI assistant to actually do useful work.",
        "url": "https://www.ycombinator.com/launches/QDx-fira-mcp-financial-datasets-in-claude-and-excel",
        "votes": 14,
        "created_at": "2026-05-05T19:11:01.299Z"
      },
      {
        "id": 88048,
        "title": "Fira: Agentic AI Analyst",
        "tagline": "Accelerating financial analysts with source-cited insights and verified calculations from complex company filings",
        "body": "**Fira** is building an agentic AI analyst for financial research and automation, starting with UK investment firms. Today, we accelerate analysts with source-cited insights and verified calculations from complex company filings.\n\n<https://youtu.be/a8C9TifdUOg>\n\n# Problem\n\nAnalysts at investment banks and boutique M&A firms waste tons of time digging through hundred-page annual reports to prepare pitch decks and models. General LLM tools aren't good enough for the job — lacking accuracy, domain-specific data, and output verification. The problem extends to senior professionals who need to quickly understand new topics deeply while staying grounded in truthful data sources.\n\n---\n\n# Solution\n\nFira saves analysts time by instantly searching, analyzing and citing UK company filings. It reads multiple filings and reports (including 500 page long and scanned documents) to provide source-cited answers and verifiable calculations. We cover hundreds of public UK companies, integrate with Companies House for private company data, and allow to upload your documents.\n\n---\n\n# Use cases\n\n**I. Breakdown detailed financial and operational KPIs in seconds**\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/d03ed2eb-89ea-49f2-af3e-895cf89dd3a7)\n\n**II. Perform general research on data scattered across reports and filings**\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/af63b5d1-c1ba-4551-9168-91c8b3a8ca8f)\n\n**III. Fira calculates financial metrics it can't find, providing transparency in formula and variables used**\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/d65b3dba-a6ce-4653-86e9-9ddedcb5d0a4)\n\n# Asks\n\nLooking to connect with senior professionals and analysts at investment banks, M&A advisory firms, hedge funds, and wealth management firms. Especially in the UK. If you work in finance or know someone who does, we'd love an intro. Book a demo [here](https://firaresearch.com) or email us at [alex@firaresearch.com](mailto:alex@firaresearch.com).\n\n# About us\n\nAlexey and Alex are both technical founders, met 9 years ago at university and been close friends since.\n\nAlexey was CTO and co-founder of [resume.io](http://resume.io), one of the largest resume builder websites (acquired in 2021). He’s also an author of wouter, a React router library with 7k stars and 580k downloads/month, and a regular tech conference speaker.\n\nAlex was the founder and CEO of Hashscan, on-chain user analytics startup. Previously, he built a popular crypto porftolio tracker app Hodler (sold in 2022).\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/13c0b9c8-06c4-4307-b446-8edc81b35aab)\n\n# Links\n\nWebsite: <https://firaresearch.com>\n\nLinkedIn: <https://www.linkedin.com/company/fira-ai/>",
        "url": "https://www.ycombinator.com/launches/Mu8-fira-agentic-ai-analyst",
        "votes": 35,
        "created_at": "2025-02-26T01:51:02.509Z"
      }
    ]
  },
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    "id": 30362,
    "name": "Ambral",
    "slug": "ambral",
    "former_names": [
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      "Halidom",
      "Helium",
      "Ambral AI",
      "Ambral",
      "ambral"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1261383b7f5f7d5fcba63a49453bf6d9148fcfc.png",
    "website": "https://www.ambral.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "AI for account management and customer success. Ambral has already been used to drive hundreds of millions of dollars in attributable expansion revenue at multi-billion dollar enterprises and top scale-ups.\r\n\r\nAmbral synthesizes signals from all customer activity and interactions into AI-powered models of every account. It pinpoints who needs attention and why, and autonomously takes the best next action to drive expansions, prevent churn, and ensure no customer slips through the cracks. \r\n\r\nTeam: \r\nSam (CEO): 2x founder. Led AI at Everlywell and early PM at Wonder (now valued at $7bn). Lived the pain of losing customer intimacy at scale and is obsessed with solving it. \r\n\r\nJack (CTO): Ex-SpaceX Flight Software Special Projects, where he developed telemetry routing and analysis systems for the some of most complex machines ever created. He’s now doing the same for the complexities of customer relationships. ",
    "one_liner": "AI for account management and customer success",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1753910833,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ambral",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/ambral.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ambral",
    "x_url": "https://x.com/ambral_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1261383b7f5f7d5fcba63a49453bf6d9148fcfc.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 310636,
        "full_name": "Sam Brickman",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Ambral. 2x previous founder (1 exit). Early PM at Wonder (0 - $50m revenue).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sam-brickman-086341136/",
        "x_url": "https://x.com/Sambrickman_",
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      },
      {
        "user_id": 563861,
        "full_name": "Jack Stettner",
        "title": "Founder",
        "founder_bio": "CTO @ Ambral. Ex-SpaceX Flight Software and AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jackstettner/",
        "x_url": "https://x.com/JackStettner",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0994a714cef94946a8c6cb32dcd0ffa747280ce9.jpg"
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    ],
    "jobs": [
      {
        "id": 105085,
        "title": "Member of Technical Staff (New Grad)",
        "url": "https://www.ycombinator.com/companies/ambral/jobs/kYTr5A8-member-of-technical-staff-new-grad",
        "location": "New York / San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $175K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107429,
        "title": "Head of Research ",
        "url": "https://www.ycombinator.com/companies/ambral/jobs/sCz0Etq-head-of-research",
        "location": "New York / San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$250K - $400K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107430,
        "title": "Member of Technical Staff (Evals & Post-Training)",
        "url": "https://www.ycombinator.com/companies/ambral/jobs/vK7JuLl-member-of-technical-staff-evals-post-training",
        "location": "New York / San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$165K - $325K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 92832,
        "title": "Ambral Cortex: Enterprise-grade AI Account Managers",
        "tagline": "Detect hidden revenue signals, predict what each customer needs next, and autonomously execute the right strategic action",
        "body": "# We built Ambral Cortex to give every B2B customer an AI Account Manager\n\n\\\nhttps://youtu.be/jCUKx0mjXz0\n\n# **Who we are**:\n\n💼 **Sam (CEO)** is a 2x founder, was an early product hire at Wonder (valued at $7bn) and led AI product at Everlywell. He launched a platform in college which grew to 100k+ users within a month and was the CTO of a food delivery business which was acquired at the start of the pandemic. He’s felt the pain of losing customer intimacy at scale and is obsessed with solving it.\n\n🚀 **Jack (CTO)** is ex-SpaceX Flight Software Special Projects, where he developed the next-gen flight computer and telemetry backbone for Falcon 9 and Falcon Heavy. In mission control, he watched how split second decisions based on the right data at the right time mean the difference between success and failure. He’s now doing the same for your customers.\n\n# 🛑 **The Problem:**\n\nStaffing a dedicated human Account Manager for every mid-market and SMB customer has never been economically feasible. Companies are forced to focus only on their largest accounts while the rest are underserved or ignored, resulting in millions in expansion revenue left on the table and preventable churn.\n\n# 🔥 **Our Solution:**\n\nCortex eliminates this tradeoff and makes it possible to bring an enterprise-grade experience to every customer. It uses AI to find hidden revenue signals, predict what each customer needs next, and autonomously executes the right revenue-driving or strategic action. It can handle everything from conversational onboarding calls, to manual reporting work, to driving expansions and securing renewals. It's like cloning your best Account Manager, giving them a degree in data science, and assigning one to each of your customers. \n\nIf you run revenue or customer operations teams let’s chat! [Grab time with us ](https://ambral.com/meet)or shoot us a text at 914-815-7914\n\n# ",
        "url": "https://www.ycombinator.com/launches/O9I-ambral-cortex-enterprise-grade-ai-account-managers",
        "votes": 67,
        "created_at": "2025-11-18T21:25:47.000Z"
      }
    ]
  },
  {
    "id": 30366,
    "name": "Blaxel",
    "slug": "blaxel",
    "former_names": [
      "Beamlit"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/daedc1e66e212180bb678c683cd4595f1c7cd149.png",
    "website": "https://blaxel.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Blaxel is the infrastructure foundation for autonomous agents.\r\n\r\nEngineered for the way agents actually run, Blaxel gives builders deep control over compute (sandboxes), storage (shared filesystem), and networking as built-in infra primitives.\r\n\r\nUnlike traditional sandboxes that expire or suffer from cold starts, our sandboxes automatically scale to zero after 1s of inactivity and resume in under 25ms with full memory state preserved — allowing you to keep millions of secure sandboxes on standby indefinitely.",
    "one_liner": "The infrastructure for autonomous agents",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1745276338,
    "tags": [
      "Developer Tools",
      "Cloud Computing",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Acquired",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/blaxel",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/blaxel.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/blaxel-ai",
    "x_url": "https://x.com/blaxelAI",
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    "cb_url": null,
    "github_url": "https://github.com/blaxel-ai",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 2156675,
        "full_name": "Paul Sinaï",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ Blaxel - I'm a repeat entrepreneur; I founded two startups and sold the last one to the largest European cloud provider to become their analytics products suite. Currently, I'm working on an exciting project at Blaxel, where my team and I are focused on building the next generation of cloud for AI Agents. From the Infrastructure to the UX, we are redesigning the entire stack for the Agentic world.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/paul-sinai",
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      {
        "user_id": 2458126,
        "full_name": "Charles Drappier",
        "title": "Founder",
        "founder_bio": "I'm a Co-founder & Developer at Blaxel, the AWS for AI Agents.\nI have 15 years of experience building cloud infrastructure products with a successful exit.\nAt Blaxel, we provide AI builders with the infrastructure they need to develop and scale intelligent agents efficiently.\nI'm focused on creating the essential technology backbone for the next generation of AI applications.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/charles-drappier-48017962/",
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      },
      {
        "user_id": 2458128,
        "full_name": "Mathis Joffre",
        "title": "Founder",
        "founder_bio": "I’m the co-founder and engineering lead at Blaxel, where I’m building the infrastructure layer for AI agents. My background spans cloud systems, microVMs, and distributed compute — from designing next-gen architectures at OVHcloud and developing tooling across large-scale network environments. I’m focused on creating an AI-native platform that makes deploying and scaling agentic applications simple, reliable, and accessible to every developer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mathis-joffre-30992712a/",
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      {
        "user_id": 2264960,
        "full_name": "Nicolas Lecomte",
        "title": "Founder",
        "founder_bio": "Building Blaxel, the cloud for your AI agents.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicolas-lecomte-080317153/?locale=en_US",
        "x_url": "https://x.com/NicolasLec91112",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d694e23f02fde3fc03c7bf36a07a04b5e434e7e.jpg"
      },
      {
        "user_id": 2264607,
        "full_name": "Christophe Ploujoux",
        "title": "Founder/CTO",
        "founder_bio": "Addict software developper, with 8 years of experience at ForePaaS, where I contributed to launch a PaaS for Data and AI projects, I developed a deep understanding of building scalable platforms that empower innovation. \nThis experience inspired me to create Blaxel, an end-to-end platform for AI agents, aimed at simplifying the development, deployment and management of AI solutions for businesses. My passion lies in bridging complex technology with real-world applications, making advanced AI",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christophe-ploujoux/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2fe3f4c8556189c150ab20e02a118d320c492d1a.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Blaxel raises $7.3M seed round to build 'AWS for AI agents' after processing billions of agent requests | VentureBeat",
        "url": "https://venturebeat.com/ai/blaxel-raises-7-3m-seed-round-to-build-aws-for-ai-agents-after-processing-billions-of-agent-requests/",
        "date": "Jul 17, 2025"
      }
    ],
    "launches": [
      {
        "id": 90942,
        "title": "Blaxel — AWS for AI agents",
        "tagline": "Powering the next trillion AI agents.",
        "body": "**tl;dr**: Yesterday’s cloud can’t power tomorrow’s AI. Blaxel is a cloud infrastructure built for AI agents. Our computing platform gives AI Builders tools, infra, and developer experience optimized to build and deploy agentic AI — with a twist: your agents can also take the wheel.\n\nhttps://www.youtube.com/watch?v=aISExQg14qg\n\n### Problem\n\nOur team of 6 co-founders previously built and sold a data platform to OVHcloud, which eventually became their entire Analytics product suite. What we saw during that time is that **the current world’s infrastructure** **wasn't built for the AI revolution that's coming**.\n\nTraditional clouds were built almost 20 years ago. Their architecture and service sprawl weren't designed for agentic workloads. Nor was the UX thought for the developers who build them.\n\nNot only that, but the economics don't make sense anymore. As AI agents become more autonomous, they're racking up huge bills from LLM calls, serverless tasks, and network bandwidth.\n\nIn the next decade, we're looking at billions or even trillons of AI agents coming online, each needing computing power, memory, and connectivity in every direction. The world’s current infrastructure isn't just unprepared, it's completely inadequate.\n\n### Solution **💡**\n\nWe're creating **a new kind of infrastructure**. One that's not only built to make agents, but also to be operated by them.\n\nBlaxel is a complete computing platform with all services designed and optimized for both AI Agents and their Developers — from the hardware to the user experience.\n\nWe offer two levels of APIs to give you full flexibility:\n\n**1-** Our **high-level platform** lets developers to fast-track deploying agents without reinventing the wheel:\n\n* Agent deployments as serverless autoscalable APIs — fully framework-agnostic\n* MCP servers hosting\n* AI gateway — with features like token rate limiting or model routing and fallbacks\n* Built-in observability\n* GitHub synchronization\n\n![uploaded image](/media/?type=post&id=90942&key=user_uploads/2264960/665aa3c9-5d63-4ce6-8c16-bbb6e2c6537e)\n\n**2-** Our flexible **low-level API** gives both builders and agents access to our core compute infrastructure to run agentic workloads fast and reliably:\n\n* Sandboxes with &lt;25ms boot time — designed for agents to execute code or commands\n* Batch processing jobs\n* Headless browser VMs _(coming soon!)_\n* Programmable AI gateway _(coming soon!)_\n\n![uploaded image](/media/?type=post&id=90942&key=user_uploads/2264960/8e2c837d-f329-44b4-beec-0f80d75daa10)\n\nPioneering teams are already building the next wave of agents on Blaxel. Don't get left behind:\n\n* Email us: [founders@blaxel.ai](mailto:founders@blaxel.ai)\n* Book a demo: [blaxel.ai/contact](http://blaxel.ai/contact)",
        "url": "https://www.ycombinator.com/launches/Neo-blaxel-aws-for-ai-agents",
        "votes": 75,
        "created_at": "2025-06-02T15:53:06.496Z"
      }
    ]
  },
  {
    "id": 30400,
    "name": "Plexe",
    "slug": "plexe",
    "former_names": [],
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    "website": "https://plexe.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Plexe builds predictive ML models from a problem description. It connects to data sources, conducts experiments, evaluates and deploys the models to an API endpoint.",
    "one_liner": "Open-source agents to build predictive ML models from a prompt",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1745031118,
    "tags": [
      "Machine Learning",
      "Data Science",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/plexe",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/plexe.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/plexe-ai/",
    "x_url": "https://x.com/PlexeAI",
    "fb_url": null,
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        "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6",
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      {
        "id": 90589,
        "title": "Plexe - Build ML models from a prompt",
        "tagline": "Plexe is an open-source agent that turns natural language task descriptions into trained machine learning models.",
        "body": "We’re Vaibhav and Marcello. We’re building Plexe, an open-source agent that turns natural language task descriptions into trained ML models.\n\nhttps://youtu.be/CwNX0aU9MsE\n\n## **🤔 1. Problem**\n\nLots of great use cases for ML models in businesses never materialize because ML projects are messy and convoluted. You spend months finding the data, cleaning it, experimenting with models and deploying them to production, only to find out that the project has been binned due to taking so long. At a previous employer, we witnessed a team of 10 ML engineers spend 2 years and $3M building models for a project that never saw the light of day. \n\nThere are several tools for “automating” ML, but it still takes teams of ML experts to actually productionize something of value. And we can’t keep throwing LLMs at every ML problem. Why use a generic 10B parameter language model, if a logistic regression trained on your data could do the job better?\n\n## **✅ 2. Solution**\n\nStep 1: Connect your data sources\\\nStep 2: Describe your problem statement\\\nStep 3: Use the deployed model via API\n\nhttps://youtu.be/zByvH0wTSuE\n\n## **🚀 3. How does it work?**\n\nPlexe uses a self-correcting team of ML engineering agents to research, experiment, evaluate, refine, and deploy the best performing model over an API endpoint. It connects to data sources, discovering relevant fields, and autonomously building the model. Think of it like your own ML helper helping you go from idea to deployed models 10x faster.\n\nhttps://youtu.be/bUwCSglhcXY\n\n## **👋 4. Team**\n\n[Vaibhav Dubey](https://bookface.ycombinator.com/user/2260416) (ex-Proofpoint, Expedia, Imperial College London) and [Marcello De Bernardi](https://bookface.ycombinator.com/user/2337737) (ex-AWS, Expedia, Oxford) met 6 years ago while building a chatbot that served 9+ million customers of a large bank. Since then, they’ve built enterprise-scale ML solutions that serve billions of predictions per day for millions of users worldwide.\n\n![uploaded image](/media/?type=post&id=90589&key=user_uploads/2260416/4e5a0513-e013-4adc-9520-ebde07c44981)\n\n## **🙏 5. Our ask**\n\n* We’d love to get in touch with any companies that have a lot of data but have not been able to build ML features on top of them!\n* If you’re an individual who believes that the future of ML development is autonomous and open source, check out our agent: https://github.com/plexe-ai/plexe\n\nGet in touch with us: [founders@plexe.ai](mailto:founders@plexe.ai) ",
        "url": "https://www.ycombinator.com/launches/NZ7-plexe-build-ml-models-from-a-prompt",
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        "created_at": "2025-05-21T01:44:48.117Z"
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    "name": "Kashikoi",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kashikoi is a simulation engine to benchmark AI agents. We generate CPU friendly world models that autonomously interview agents and generate deep behavioral assessments. We built a similar technology at Moveworks which was used to ship 250+ enterprise agents to customers daily.",
    "one_liner": "Simulation Engine for Benchmarking AI Products",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1748454120,
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    "country": "US",
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        "full_name": "Aaksha Meghawat",
        "title": "Founder/CEO",
        "founder_bio": "Founder, Kashikoi. Aaksha led the Simulation & Evaluation stack at Moveworks(ServiceNow) shipping 250+ customized enterprise ready agents to Fortune 500 and federal agencies. Aaksha has done award winning NSF sponsored research in Transformers at CMU (long before OpenAI made them cool). She shipped edge speech recognition models on 1bn+ iPhones (for the most esoteric dialects you can think of) at Apple. The innovation behind this was nominated for a Best Paper at Interspeech 2021.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaksham/",
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      {
        "id": 90990,
        "title": "Kashikoi - Simulation Engine for Benchmarking AI Agents",
        "tagline": "Autonomously interview your Agents!",
        "body": "Hey YC! \\\nWe are [Tim](https://www.linkedin.com/in/timmichaud/) and [Aaksha](https://www.linkedin.com/in/aaksham/) - cofounders of Kashikoi. [Kashikoi](https://www.getkashikoi.com) is a simulation engine to benchmark GenAI Agents. We generate CPU friendly world models that autonomously interview agents and generate deep behavioral assessments.\n\n# **The Problem**\n\nBuilding high-performing AI agents is becoming increasingly complex. Teams face many challenges:\n\n* Managing prompt bloat and keeping up with endless prompt tuning cycles.\n* Evaluating their agents (or competitors') meaningfully and efficiently.\n* Understanding agent performance in ways that reflect real-world values and expectations—not just public benchmarks.\n\nDespite growing interest and investment, most solutions rely heavily on prompt engineering, public benchmarks, or surface-level observability. These approaches often mislead more than they inform, creating a false sense of progress.\n\n# **The Solution**\n\n![uploaded image](/media/?type=post&id=90990&key=user_uploads/267393/5573f5c1-baf0-4fc5-b58f-d6fc289fb8f2)\n\nToday’s “LLMs” are adaptive systems which run test time adaptation loops behind that tiny “Thinking…” blinking on the screen. We are building a scalable version of test time adaptation and inference scaling a.k.a World Models that bring the power of these techniques to you.\n\nSimply put you can simulate highly customized benchmarks, diverse data and align your evaluations while maintaining all of these for the long run, all without writing prompts! Our world models unlock automatic prompt optimization and detecting regression test staleness as fun side effects.\n\nLLM based Systems are getting smarter and so should you using our World models!\n\nCheck out our simulation engine adaptively interviewing RAG Agents and multi-turn evaluation in action [here](https://www.loom.com/share/7b3bdb899b06433fbc0636df487c6133?sid=6dd87cdc-495e-48e4-bb7a-971b1430cae5).\n\n# Why Us\n\n* Tim and Aaksha used similar world models tech at Moveworks to massively reduce dev cycles for shipping 250+ customized enterprise ready agents.\n* Aaksha has done cutting edge research in Transformers at CMU (long before OpenAI made them cool). She shipped edge speech models on 1bn+ iPhones. The innovation behind these models was published as a paper at Interspeech 2021 and nominated for a Best Paper Award that same year.\n* Tim has found many high impact security vulnerabilities throughout his career. One of his top bug discoveries was in all Qualcomm GPS chips leading to a 50 mile 0-click exploit that had no mitigations. Tim has many [public CVEs](https://www.inulledmyself.com/2023/05/using-ai-to-find-software.html) for a variety of Apple products, including: Safari, MacOS, iOS, tvOS, & iTunes.\n\n# Our Ask\n\nSign up for our waitlist at [getkashikoi.com](http://getkashikoi.com), or email us at [founders@getkashikoi.com](mailto:founders@getkashikoi.com) if you or someone you know wants:\n\n* Instant evals on your agent (or a competitor’s 😉) and we’ll generate [such a report](https://www.notion.so/NewAgent-Benchmark-Report-1db104cde9e88066b62ac3d68fb6c878?pvs=21) for you.\n* Making advanced features—like automatic prompt optimization, world models, and inference scaling—work seamlessly for you.\n* Reliable prompt free evaluations that are aligned with your values and expectations (which we auto-encode in a special edge-friendly world model for you).\n* Don’t come to us if:\n  * You love writing prompts\n  * You trust public benchmarks\n  * You think that good observability is enough to make your agent win\n  * You aren’t ready to have an honest conversation about your agents’ performance\n* Jokes aside 😅, if you know enterprises building agents suffering from prompt bloat, please (pretty please 🥺) send them our way!",
        "url": "https://www.ycombinator.com/launches/Nfa-kashikoi-simulation-engine-for-benchmarking-ai-agents",
        "votes": 18,
        "created_at": "2025-06-03T21:48:35.068Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Aravolta provides a single pane of glass software for data centers to increase uptime, reduce costs, and improve performance.\r\n\r\nA single utility node onboards every asset within an hour and detects hardware failures, hotspots, and other issues.\r\n\r\nIt also generates reports on important metrics like Power Usage Effectiveness (PUE), energy metering, resource utilization, and much more. ",
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    "team_size": 4,
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        "full_name": "Margarita Groisman",
        "title": "Founder/CEO",
        "founder_bio": "Worked on data center deployments at Microsoft, now my company Aravolta builds software for data centers. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/margarita-groisman/",
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        "full_name": "Jack Sutton",
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        "title": "Senior Software Engineer",
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        "title": "Intern",
        "url": "https://www.ycombinator.com/companies/aravolta/jobs/xNqAuCd-intern",
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        "title": "Sales Development Representative",
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    "id": 30404,
    "name": "Vybe",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're 2 repeat YC founders. We founded Plato (W16, sold to Coda) and Wolfia (S22). Quang lead Product/GTM for Coda Solutions and Fabien is ex-SWE at Meta and lead Engineering at Wealthfront before.\r\n\r\nWe’re building Vybe: \"Lovable for internal apps\". We come with pre-built building blocks: Integrations (Gmail, Gcal, Github, Jira, etc.), SSO and AI tools (Websearch, Summarization etc.) so anyone in a company can build and launch internal AI-powered apps.\r\n\r\nVibe coding is dramatically lowering the barrier for non-technical users to create full web apps. Lovable, Replit, Bolt, Google, Canva, Figma all launched their vibe-coding platforms. People love them. They're great for prototyping, but it's difficult to roll out inside a company for internal use cases for those reasons: \r\n\r\n1. Data: If you want to connect your existing data (e.g. Salesforce, Gmail, Jira), you'd need to rebuild the API auth, pagination, etc. \r\n\r\n2. SSO: If you build 20 apps, you'll have 20 different logins\r\n\r\n3. Security: AI-built apps have massive risk of exposing data, especially if built by non developers\r\n\r\nSo companies are stuck in the old world: clunky spreadsheets, rigid SaaS solutions or complex no-code tools.\r\n\r\nTime to build! ",
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    "team_size": 8,
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    "year_founded": 2025,
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    "country": "US",
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        "full_name": "Quang Hoang",
        "title": "Founder/CEO",
        "founder_bio": "2X YC Founder || CEO/Cofounder of Vybe (X25) || ex-CEO/Cofounder of Plato (W16, acquired by Coda)\n\nAt Plato, we were building a mentorship platform for engineering leaders.\n- We grew to 5M of ARR selling to CTOs/VPs of Engineering\n- We worked with notable customers like Airbnb, Stripe, Coinbase, Slack, Twilio, etc.\n- We grew a community of 30k+ engineering leaders\n- We raised $23M in total with Slack, Fundersclub, S28 Capital, SaaSTR Fund, etc. and got to a team of 70 people",
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        "full_name": "Fabien Devos",
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        "id": 90606,
        "title": "Vybe - Lovable for internal apps",
        "tagline": "Pre-built with building blocks: Integrations, SSO, and AI tools so anyone in a company can build and launch internal apps.",
        "body": "Fabien (Wolfia, S22) and myself (Plato, W16), are back to building again and today, we’re excited to share what we've been cooking for the past few months! And we’re part of the current batch!\n\nWe’re building a Lovable for internal apps. We come with pre-built building blocks: Integrations, SSO, and AI tools so anyone in a company can build and launch internal apps.\n\nhttps://youtu.be/jaB3EnuU_cI\n\nI included 5-6 other examples of things I built to run Vybe on vybe below :)\n\n# The unsolved problem:\n\nFast‑growing teams drown in \\_glue work\\_—onboarding trackers, launch calendars, status bots, one‑off scripts. Each steals engineering time, rots when its owner leaves, and derails sprints.\n\nIt leaves companies with three bad options:\n\n* Rigid enterprise SaaS – inflexible, forces your process to fit the tool.\n* Spreadsheets & docs – endless copy‑paste, no live data, fragile at scale.\n* DIY glue & drag‑and‑drop no‑code – a tangle of scripts and widgets that collapse when owners leave.\n\n# **Why current vibe coding tools aren’t enough:**\n\nVibe coding is dramatically lowering the barrier for non-technical users to create full web apps. Lovable, Replit, Bolt, Google, Canva, Figma all launched their vibe-coding platforms. People love them. They're great for prototyping, but it's difficult to roll out inside a company for internal use cases for those reasons:\n\n* Data: If you want to connect your existing data (e.g. Salesforce, Gmail, Jira), you'd need to rebuild the API auth, pagination, etc.\n* SSO: If you build 20 apps, you'll have 20 different logins…\n* Security: AI-built apps have the massive risk of exposing data, especially if built by non-developers\n\nCursor and Windsurf are not adapted either. They’re built for devs, hard to use for non-technical folks. My Head of HR doesn’t know how to deploy an app in Netlify or Vercel.\n\n# **Why old no-code tools are solutions of the past:**\n\n* Airtable / Retool / Coda: No‑code and low‑code platforms showed you can build dashboards faster than hand‑coding React—but you're still dragging rectangles, hunting for SQL, and rebuilding the same CRUD table for the hundredth time.\n* Large‑language models have changed the game. Code‑gen IDEs already write production‑grade functions from chat—so why are we still moving boxes to connect Salesforce to a launch‑approval form?\n\n**We’d love your help:**\n\n1. Companies: Design partners: Pick a painful process internally in your company, let us rebuild it in a more robust way.\n2. Users: -&gt; Join the waitlist: https://www.vybe.build/ and we’ll accept you as fast as we can! Comment \"waitlist\" or re-post, and we'll bump you to the top of the list!\n\nHere are some nice examples of things I built on Vybe:\n\n**A daily briefer of my day,** an AI is doing a web search on every single person I’m meeting every day:\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/f071030a-e15f-4df2-9ae3-6f09d2add985)\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/2789a7da-2558-434e-abc2-8836d9a4f205)\n\n**A weekly goals tracker** with a count down until YC demo day:\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/9296e031-ab0a-4b39-82cd-9905c961f08d)\n\n**Our backlog/roadmap** of things to ship:\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/7a626545-91b5-4258-8dd9-6db0dc33c2ae)\n\n**Our DB Admin** fed by our production database (postgres) built in 10 mins:\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/aa9494e4-89f9-4ebd-b005-2b9a8b8b2c3f)\n\n**A simple to-do** i created with routines, timer and link to my tech backlog so i can easily add tasks to myself from the roadmap\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/75b7bfc7-baa9-4198-8613-a46b2f7434dd)\n\n\\*\\*A nice CRM (\\*\\*no, i don’t use Salesforce, Hubspot or any other CRM) that is connected to my postgres so i can monitor deals and usages at the same place\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/36acd4ee-8bb7-495d-b1a0-802346cf57e6)\n\nAnd check tens of other examples: https://www.vybe.build/examples\n\nIt’s time to build 💪 Join the waitlist: https://www.vybe.build/ and we’ll accept you as fast as we can! Comment \"waitlist\" and we'll bump you to the top of the list!\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/e62cb1d4-16a8-479d-9fee-e0374b653acf)\n\n",
        "url": "https://www.ycombinator.com/launches/NZO-vybe-lovable-for-internal-apps",
        "votes": 28,
        "created_at": "2025-05-21T17:35:49.208Z"
      }
    ]
  },
  {
    "id": 30405,
    "name": "nao Labs",
    "slug": "nao-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png",
    "website": "https://getnao.io/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "nao is an open source framework to build and deploy analytics agent.\r\nCreate the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.",
    "one_liner": "Open Source Analytics Agent",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1744958361,
    "tags": [
      "Analytics",
      "Open Source",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "France",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/nao-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nao-labs.json",
    "year_founded": 2024,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/getnao/",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/nao-labs",
    "github_url": "https://github.com/getnao/nao",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1535815,
        "full_name": "Claire Gouze",
        "title": "Founder/CEO",
        "founder_bio": "⚡️ Building the context layer for analytics agents\n📊 Previously head of data at sunday - $100M Series A\n👩🏻‍💻 Business school graduate self-taught in data sciences - started as a Data Scientist at BCG Gamma",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/claire-gouze/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/035018b7fe651fa99b670856312545d49e91c45c.jpg"
      },
      {
        "user_id": 72690,
        "full_name": "Christophe Blefari",
        "title": "Founder/CTO",
        "founder_bio": "Built data tools, platforms and teams for more than 10 companies (scale-ups and French gov). I write about data stuff on blef.fr and LinkedIn (20k+ followers).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christopheblefari/",
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    "jobs": [
      {
        "id": 107297,
        "title": "GTM intern",
        "url": "https://www.ycombinator.com/companies/nao-labs/jobs/Cgv7KB0-gtm-intern",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Internship",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€1.4K EUR / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
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    ],
    "news": [],
    "launches": [
      {
        "id": 90397,
        "title": "nao Labs - Cursor for data",
        "tagline": "AI code editor to write code on your data — and trust the output.",
        "body": "**🥷 Manifesto**\n\nData teams have been left out of the vibe coding party. We’re building nao so they can **data vibe** too.\n\n**🏎 TL;DR**\n\nnao is an **AI code editor to write code on data**: a local editor, connected to your data warehouse, with an AI copilot that has context of both your data schema and codebase.\\\nIt’s built specifically for data workflows - helping teams write faster, better code, while being ensured of the data quality.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/f9051a44-1d1e-41a0-b995-e6bcb94a4c31)\n\n**🧑‍💻 Who is it for?**\n\n* **Data teams** who run analytics with SQL and build dbt or Python pipelines\n* **Software developers** who manage SQL databases\n\n**🤖 What can you do with nao?**\n\nYou can prompt nao **AI agent** to:\n\n* **Create SQL queries & dbt models** from your data warehouse tables\n* Add **documentation & testing** to your data\n* **Refactor** your codebase through your **lineage**\n* Perform **data quality checks**, **data diff** tests\n* Run **conversational analytics**\n\n**nao AI tab auto-suggests code for your data** — only with tables, columns and data that actually exist in your warehouse.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/08d1f6f0-b247-4887-b179-c0f5f2cd8405)\n\n**🔆 Why we built it**\n\nChristophe and Claire have each spent 10 years in data. We’ve seen that data teams can’t keep the business pace because making changes in data requires too many tools and tests.\\\nCurrent AI code editors don’t interact natively with data warehouses — they autocomplete SQL blindly, not knowing your data schema. We built nao so that data teams can ship at business pace, with an AI code editor that has all their context.\n\n**👀 Watch it live**\n\n[https://www.youtube.com/watch?v=QmG6X-5ftZU](https://www.youtube.com/watch?v=QmG6X-5ftZU&ab_channel=ClaireGouze)\n\n**👋🏻 Our ask**\n\nWant to write code on your data faster?\n\n* **Download** and test nao here: [**https://getnao.io/**](https://getnao.io/**)\n* **Contact us** for team plans: [claire@getnao.io](mailto:claire@getnao.io)",
        "url": "https://www.ycombinator.com/launches/NW1-nao-labs-cursor-for-data",
        "votes": 63,
        "created_at": "2025-05-14T17:27:09.437Z"
      }
    ]
  },
  {
    "id": 30406,
    "name": "BitBoard",
    "slug": "bitboard",
    "former_names": [
      "Realm"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png",
    "website": "https://bitboard.work",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Data analysis with AI agents is great until you realize you want to set up a recurring report or collaborate with your team. We built an agent-first workbook so you don’t have to roll your own dashboards or fumble around in a rigid BI tool.\r\n\r\nConnect your agent of choice to BitBoard and it can generate connected charts, SQL, code, and commentary in a notebook-style UI you can share with your team.",
    "one_liner": "Let your agent build dashboards and reporting.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1746992332,
    "tags": [
      "B2B",
      "Analytics",
      "Data Visualization",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bitboard",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bitboard.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bitboardhq",
    "x_url": "https://x.com/bitboardhq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png",
    "app_video_url": null,
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    ],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2002154,
        "full_name": "Connor Jones",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ BitBoard. \n\nEx-Forward, BlackRock, Columbia Engineering.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/connorandrewjones/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fbe6de4ee5d3c3e64dc17cf6cca43d8958dc06b.jpg"
      },
      {
        "user_id": 1576262,
        "full_name": "Ambar Choudhury",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ BitBoard, an AI-first analytics workbook that lets you load and transform data with SQL, python, and your favorite coding agent. Handle complex modeling and analysis 10x faster without giving up control when you need it.\n\nI was the first engineer at Forward, a national AI-enabled primary healthcare system. Before that, I worked on government-facing technology at Palantir. \n\nI like creating products that empower people, and technology that scales. \n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ambar-choudhury-92681038",
        "x_url": "https://x.com/ambarc",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8dde4a359f0f46f3fc9faca9f72385cc56cce9d.jpg"
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    ],
    "jobs": [],
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    "launches": [
      {
        "id": 100824,
        "title": "BitBoard: Analytics workspace for agents",
        "tagline": "Build hosted dashboards and analysis with your favorite AI chat or coding agent.",
        "body": "**TL;DR**\n\nUsing your go-to AI chat or coding agent for data analysis is great until you want to set up a recurring report or collaborate with your team.\n\nWe built an analytics layer for your favorite AI tools to generate hosted reports and live dashboards.\n\nGet started in minutes, for free at [app.bitboard.work](http://app.bitboard.work)\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/615b65c7-eb00-480f-ba27-cceabe248a50)\n\n**Problem**\n\nThe most capable AI tools still treat data analysis as ephemeral, making durable reporting and collaboration a nightmare.\n\nLegacy BI tools weren’t intended for AI users, so they bolt on clumsy chatbots and can’t offer meaningful control to the agents you’re actually using.\n\n**How BitBoard works**\n\nConnect your preferred AI chat or coding agent to BitBoard to build living dashboards and analysis you can share with your team. BitBoard works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n\nHosted workbooks let your agent pull data, build visualizations, and add commentary by writing SQL, code, and markdown that’s stored and executed within the workbook.\n\nWork in BitBoard is traceable and repeatable. Logic and outputs are persisted and named so context isn't lost in chat threads or terminals.\n\nAnalysis stays fast and cheap as the workbook grows. Small queries stay local, results are cached until the underlying data changes, and your warehouse only returns the rows each query needs.\n\n**Connecting your data**\n\nWant to get started with minimal setup? Just push data from your agent to piggyback off of your agent’s existing connections and we’ll host it.\n\nFor ongoing access to live data, securely connect to your apps, databases, and data warehouse from a single point in BitBoard.\n\n**Onboard in minutes, for free**\n\n1. Connect your AI chat or coding agent to BitBoard via MCP. Works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n2. Push data from your agent. We'll host it, no setup required.\n3. When you want live data, configure connections to your apps, databases, and warehouse from a single point in BitBoard.\n\nTry pointing your agent at BitBoard for your next KPI review, product analytics investigation, or post-mortem.\n\n**Ask**\n\n* Try it out at [app.bitboard.work](http://app.bitboard.work)\n* Email us with questions and feedback at [founders@bitboard.work](mailto:founders@bitboard.work)\n* [Book a call ](https://bitboard.work/contact)if you need help with a specific use case.\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/6191878d-f4f7-4f05-988f-d2dfb103788f)\n\n",
        "url": "https://www.ycombinator.com/launches/QEC-bitboard-analytics-workspace-for-agents",
        "votes": 8,
        "created_at": "2026-05-06T21:45:16.447Z"
      }
    ]
  },
  {
    "id": 30407,
    "name": "Golf",
    "slug": "golf",
    "former_names": [
      "authed",
      "Authed",
      "authed",
      "Authed"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb627188af8a389c044d02fc9024aae3ea05cdd3.png",
    "website": "https://golf.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Golf gives enterprises visibility into shadow AI and control over AI agents and MCP. See what's connected, enforce policies, and generate audit trails - all from one place.",
    "one_liner": "Agentic AI Security and Governance",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1745255607,
    "tags": [
      "Developer Tools",
      "Security",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/golf",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/golf.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/106327716",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/golf-mcp",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb627188af8a389c044d02fc9024aae3ea05cdd3.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1366358,
        "full_name": "Wojciech Błaszak",
        "title": "Founder/CEO",
        "founder_bio": "Wojciech is the cofounder & CEO @ Golf.\n\nWojciech started building first company at 14, scaling it to $200k rev. He dropped out of university after one semester to keep building full-time. He has previously worked on multiple AI products, including an AI SDR and infrastructure for AI agents. Wojciech also started a community for young Polish hackers and scientists.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wojciech-błaszak11/",
        "x_url": "",
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      },
      {
        "user_id": 1313739,
        "full_name": "Antoni Gmitruk",
        "title": "Founder/CTO",
        "founder_bio": "Antoni is the cofounder & CTO @ Golf.\n\nAntoni started building at 15 by creating a fully automated 3D printer. He dropped out of university after one semester to keep building full-time. He has previously worked on multiple AI products, including an AI SDR and infrastructure for AI agents. Antoni also started a community for young Polish hackers and scientists.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/antoni-gmitruk-80a268211",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e0b52ea49b6bc7e7ceceb4127f248f43085852e.jpg"
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    ],
    "jobs": [],
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    "launches": [
      {
        "id": 90569,
        "title": "Golf:  Open-source platform for shipping production MCP servers",
        "tagline": "We provide the tooling to build and operate MCP servers in production - auth, tracing, and a deployment pipeline included.",
        "body": "Hi YC,\n\nWe’re Wojciech and Antoni -  high school friends who’ve been building together since we were 14. We're incredibly bullish on a future where AI agents have their own internet through which they access our services - so much so that we dropped out of university to build Golf.\n\n**Golf lets you ship a production-ready MCP server without worrying about the plumbing.** You just write the tools, prompts, and resources you want agents to call. Golf handles everything else - routing, auth, telemetry, error reporting, and deployment. Then you can observe and manage it through our gateway.\n\nhttps://youtu.be/u9ar4w2uE7E\n\n# **The problem**\n\nOver the past few weeks, we spoke with over 40 teams building MCP servers. Everyone hit the same walls: wiring up authentication, figuring out how to trace agent calls, setting up working transports, and debugging behavior in production. The MCP spec doesn’t cover these parts. Teams told us it takes **2-4 weeks** to get that to production.\n\n# **What we built**\n\n**GolfMCP** is an open-source framework that gives you a clear, file-based structure to define what your agent can call. No decorators, no spec knowledge, no boilerplate - just write your logic.\n\n**Golf Gateway** is the hosted layer that runs and observes your server. golf deploy gives you a live server in under 60 seconds, with real-time traces, tool usage, and error monitoring built in.\n\n![uploaded image](/media/?type=post&id=90569&key=user_uploads/1366358/b035bdc4-02c2-42d5-a230-ad38be34dfa9)\n\n# **Early traction**\n\nWe’re already running Golf in production with companies, and we’ve got more landing this week. \n\n**CTAs**\\\nIf you are looking to ship server for your company, schedule a demo of our platform here: https://golf.dev\\\nAlso we’d love to get your feedback, and we’re happy to help teams get to production faster. Reach us at [founders@golf.dev](mailto:founders@golf.dev)",
        "url": "https://www.ycombinator.com/launches/NYn-golf-open-source-platform-for-shipping-production-mcp-servers",
        "votes": 74,
        "created_at": "2025-05-21T01:15:30.127Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Autostep maps how work happens across a company for humans and agents, finds repetitive tasks and bottlenecks, and ranks them by cost and impact. Then it fixes them by building agents inside existing tools, changing the process, or finding the right software.\r\n",
    "one_liner": "The P&L for knowledge work",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "founders": [
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        "user_id": 403669,
        "full_name": "Aidan Pratt 🥑",
        "title": "Founder/CEO",
        "founder_bio": "Aidan is the founder and CEO of Autostep. He studied Machine Learning and Computer Science at Georgia Tech and has been building and shipping products since he was a kid - hardware hacks, developer tools, AI agents - with dozens of projects launched along the way. Aidan has worked at seed to Series A startups with strong PMF. aidanpratt.com",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aidan-pratt",
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        "id": 105945,
        "title": "Founding Engineer, ML + Forward Deployment",
        "url": "https://www.ycombinator.com/companies/autostep/jobs/7XJCOTX-founding-engineer-ml-forward-deployment",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 105946,
        "title": "Founding GTM/SDR",
        "url": "https://www.ycombinator.com/companies/autostep/jobs/ySZUtf3-founding-gtm-sdr",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "Any (new grads ok)",
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    "launches": [
      {
        "id": 103675,
        "title": "Autostep: Measure the ROI of Knowledge Work",
        "tagline": "Autostep: Measure Human and Agent ROI",
        "body": "I'm Aidan, founder of Autostep. We are raising to enable the P&amp;L of knowledge work (link below).\n\n\\\nMost companies can tell you what they spend on AI. Almost none can tell you what came back. \n\nAutostep is a desktop app that installs across a company and maps real work. It finds repeated tasks, bottlenecks, waiting, and admin loops, then ranks them by cost and impact.\n\n\\\nFrom there, Autostep helps decide what should happen next: build an agent, change the process, standardize the workflow, or use software the company already pays for.\n\n\\\nProduct video: <https://youtu.be/xxzvZKfVdKM>\n\nThe problem we are solving:\n\n* The blocker for AI adoption is proof and discovery. Before rollout, teams need the workflow to target and the capacity returned after the fix.\n* They still struggle to answer the board-level question: Did this return results? Autostep answers that from the work itself.\n\n\\\nHow it works:\n\n1. Install once across the org. No integrations\n2. Discover the cost of human &amp; agent tasks.\n3. Measure Human ROI: where people lose time and how much capacity can come back.\n4. Measure Agent ROI: which AI workflows earn their cost and which burn money.\n5. Act: remove the step, standardize it, route it to the right tool, or build the agent.\n\nThe long-term bet is that Autostep becomes the system of record for work: the layer a company uses to see capacity, measure AI payoff, and eventually pay people for working smarter. This is different than automating a bad process faster.\n\n\\\nWe are already working with companies that have the same pain: leaders want AI to work, and operators need the scorecard before they add one more workflow to manage.\n\n\\\nOur ask:\n\n* If you know a COO, CFO, ops leader, or founder trying to prove whether AI is paying back, we would love an intro.\n* If you build agents or workflow automation products, let's talk. Autostep finds the work and can route teams to the right fix.\n* If you are an angel who believes every company will need an AI ROI layer, Aidan would love to compare notes.\n\nBook a demo: <https://calendly.com/aidan_/autostep>\n\nInvestors: <https://calendly.com/aidan_/p26>\n\nExample human tasks:\n\n![uploaded image](/media/?type=post&id=103675&key=user_uploads/403669/efe32ee3-91a7-4339-84a7-824e776fa5a7)\n\nRecommendations:\n\n![uploaded image](/media/?type=post&id=103675&key=user_uploads/403669/1c03b4d2-5676-4caf-af57-5ebbaac1a3c4)\n\n",
        "url": "https://www.ycombinator.com/launches/QyB-autostep-measure-the-roi-of-knowledge-work",
        "votes": 5,
        "created_at": "2026-06-23T03:54:52.673Z"
      },
      {
        "id": 98260,
        "title": "Autostep - Uncover Repetitive Tasks Ready For AI",
        "tagline": "Welcome to Autostep - Uncover Your Repetitive Tasks Ready For AI and Automate Them",
        "body": "Hey YC - I'm Aidan, founder of Autostep.\n\n**TLDR:** Every company wants to deploy AI agents, but almost none have a way to identify their best use cases. Autostep is a desktop app that installs across your organization to surface repetitive, high-cost tasks that fly under the radar. We rank them by cost and impact so you know what's worth automating, then build or find the right fix - whether that's an AI agent, a process change, or an existing tool.\n\n**Product:** <https://www.youtube.com/watch?v=zLn5WvoYtCk>\n\n**The Problem**\n\nThe bottleneck isn't tooling anymore, it's discovery. Without visibility into what people actually do all day, automation efforts are shots in the dark. Autostep is the layer that makes agent deployment rational instead of random.\n\nAutomation vendors start with the solution and hope you know the problem. We start with the problem.\n\n**Why Now**\n\nThe AI agent market is exploding, but adoption is stalling because there's no way to map operations at the level agents actually need. Autostep is the operational intelligence layer that every company will need before they can meaningfully deploy agents. We're not competing with agent builders - we're the prerequisite.\n\n**Compounding Context**\n\nThe tooling landscape shifts every month - new agents, new platforms, new vendors - and no team feels like they can keep up. Autostep gives you a living map of your operations, so you're not chasing the next tool. You're building compounding context about how your company actually works. When better AI arrives, you're ready to use the latest - not starting over. You stay ahead of competitors.\n\nThis is for those who want visibility into what their teams actually do - and agents that fit the work, not work that fits the agents.\n\n**Backstory**\n\nI’m Aidan. I studied ML and CS at Georgia Tech and have been building and shipping products since I was a kid. I’ve also spent the past 6 years working on automation-based products that led to this moment. Working at seed to Series A startups with strong PMF, I saw the same pattern over and over: companies wanted to automate but had no systematic way to figure out what was actually worth automating. That discovery gap is what Autostep solves.\n\n**Our Ask**\n\nIf you know any operations leaders or C-suite/leadership at companies who want visibility into what their teams are actually doing before throwing AI at the problem - we'd love an intro.\n\n**Book a demo: [https://calendly.com/aidan\\_/autostep](https://calendly.com/aidan_/autostep)**\n\nReach me, shoot an intro, or ask questions: 📧 [aidan@autostep.ai](mailto:aidan@autostep.ai)\n\nP.S.\n\n**Landing page (Just updated)**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/2cafa97a-22cb-475d-9d2d-b9d275fd4206)\n\n**Tasks**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/abdeeff0-e4ee-48a8-82e2-c1e2724d11c3)\n\n**Recommendations**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/2f117d23-2aaa-4f5e-bdd8-7d6a4f1dd7e6)\n\nLooking forward to making everyone auto-agentic,\n\n\\-A",
        "url": "https://www.ycombinator.com/launches/PYq-autostep-uncover-repetitive-tasks-ready-for-ai",
        "votes": 33,
        "created_at": "2026-02-27T15:57:49.783Z"
      }
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    "name": "cubic",
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    "website": "https://cubic.dev/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Code review is a major bottleneck for software teams, and the rise of AI-generated code is making the problem worse. Reviewing large volumes of code slows devs down, and increases the chances of bugs slipping through.\r\n\r\nThat's why we're building cubic: an intelligent code review platform that helps devs merge PRs 28% faster.\r\n\r\nHow? \r\n- When you open a PR, cubic automatically reviews it. It learns from your codebase's patterns, points out bugs, suggesting fixes, and frees you from low-level review tasks.\r\n- You then jump into the cubic platform, which is designed to optimize how humans review code. For example, file changes are organized in a logical order instead of alphabetical, and cubic generates diagrams of architecture changes.",
    "one_liner": "AI-powered code review platform",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Paul Sanglé-Ferrière",
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        "founder_bio": "3x founder, previously an ML engineer and a product manager at Tessian. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/paulsf",
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        "id": 77373,
        "title": "Founding Product Engineer @ cubic (YC X25) ",
        "url": "https://www.ycombinator.com/companies/cubic/jobs/ZmenJR0-founding-product-engineer-cubic-yc-x25",
        "location": "London, England, GB",
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      {
        "id": 90581,
        "title": "cubic – Cursor for code review",
        "tagline": "cubic helps teams like cal.com and n8n ship 28% faster",
        "body": "**🎯 TL;DR**\n\ncubic is an AI-powered code review platform that automatically reviews PRs and gives human reviewers superpowers.\n\nIt helps teams like [**cal.com**](http://cal.com), **n8n**, and the **Linux Foundation** ship code 28% faster.\n\nhttps://youtu.be/7bzIJYy0Nfw\n\nHey! 👋 We’re Allis and Paul – founders of cubic.\n\nWe’re building cubic – an AI code review platform to help teams ship code faster with fewer bugs.\n\n[🚀 See it in action for cal.com here](https://github.com/calcom/cal.com/pull/20771)\n\n🎁 **Launch deal**\n\nIf you’re a developer, and you feel like code reviews are slowing you down + bugs slip through, give cubic a try.\n\nIt’s free for 2 weeks, and you’ll get an extra 30% off for 2 months with the code: _YCLAUNCH_\n\n[**Just sign up with your Github account to get started!**](http://cubic.dev/home)\n\n**⭐️ Why did we start cubic?**\n\nWe’re engineers who faced this problem when we worked together in the past. As we adopted more AI code gen tools, code review and ensuring quality quickly became our biggest bottleneck.\n\nWe had more PRs to review, subtle AI-written bugs slipped in, and we (humans) found ourselves rubber-stamping PRs without deeply understanding the changes.\n\n**👷 We’re building cubic to help solve that. Here’s how it works:**\n\n1. Connect your GitHub repo via our Github app in two clicks\n2. AI review: When you open a PR, our AI reviews your changes directly in a secure container. It has context into not just that PR, but your whole codebase, so it can pick up patterns and leave comments directly on changed lines. Once the review is done, the sandbox is torn down and your code deleted.\n3. Human-friendly review workflow: Jump into our web (or desktop) app (it’s like Linear but for PRs). Changes are grouped logically (not alphabetically), with important diffs highlighted, visualized, and ready for faster human review.\n\n💻 The AI reviewer works a bit like Cursor in the sense that it navigates your codebase using the same tools a developer would—like jumping to definitions or grepping through code.\n\n⚡️ The platform itself focuses entirely on making _human_ code reviews easier. A big inspiration came from productivity-focused apps like Linear or Superhuman, products that show just how much thoughtful design can impact everyday workflows. We wanted to bring that same feeling to code review.\n\nThat’s one reason we built a desktop app. It allowed us to deliver a more polished experience, complete with keyboard shortcuts and a snappy interface.\n\nWe think the future of coding isn’t about AI replacing humans—it’s about giving us better tools to quickly understand high-level changes, abstracting more and more of the code itself. As code volume continues to increase, this shift is going to become increasingly important.\n\n![uploaded image](/media/?type=post&id=90581&key=user_uploads/1453819/af22052f-6cbe-4cc6-863f-9dd72f10add5)\n\n",
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    "one_liner": "Build and share mobile apps in seconds",
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      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
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        "user_id": 1073860,
        "full_name": "David Oort Alonso",
        "title": "Founder/CEO",
        "founder_bio": "Building Bloom",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/david-oort-alonso",
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        "full_name": "Sirian Maathuis",
        "title": "Founder",
        "founder_bio": "Designer that also builds things. Now helping others do the same with Bloom.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sirian-maathuis",
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        "url": "https://www.ycombinator.com/companies/bloom-4/jobs/Tb6dGeS-founding-engineer",
        "location": "Zürich, ZH, CH / Remote",
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        "title": "Founding Creator / Head of Production",
        "url": "https://www.ycombinator.com/companies/bloom-4/jobs/RXwEe99-founding-creator-head-of-production",
        "location": "Zürich, ZH, CH / Zürich, Zurich, CH",
        "type": "Full-time",
        "role": "Marketing",
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        "title": "AI Engineering Student Internship (Winter or Summer 2026)",
        "url": "https://www.ycombinator.com/companies/bloom-4/jobs/VAkpMHI-ai-engineering-student-internship-winter-or-summer-2026",
        "location": "Zürich, ZH, CH",
        "type": "Internship",
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        "id": 86857,
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        "location": "Zürich, ZH, CH / Zürich, Zurich, CH",
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        "equity_range": "0.20% - 1.30%",
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      {
        "id": 90756,
        "title": "🌸 Bloom - the mobile app that builds mobile apps",
        "tagline": "Fastest way for non-technical people to build and share mobile apps",
        "body": "TL;DR: Bloom is the fastest way to **build and share native mobile apps**. No code, no backend infra, no App Store Developer account, no TestFlight, no XCode, no App Store reviews. Soon, you won’t even need a laptop ;)\n\nCheck out the future that Bloom enables 👇\n\nhttps://youtu.be/4dbwKmB2L3E\n\n### Goal 🚀\n\nOur mission is to democratize app development. We believe in a world where…\n\n* creators (designers, developers, entrepreneurs, kids, artists, etc.) can turn their ideas into working products in seconds\n* people build many of the apps they use every day and can change the experience whenever they feel like it, straight from their phone\n* companies can prototype mobile apps faster than ever before, going from design to putting it into the hands of users in minutes\n\n### User impressions 🤜 🤛\n\nOur early users call us the **Lovable for mobile apps**, and we agree! We don’t just build toys, but full-stack apps - instantly usable on any phone.\n\n![uploaded image](/media/?type=post&id=90756&key=user_uploads/1073860/1078121a-7577-4f3c-9ef6-9e08f09a5fc0)\n\n> This is phenomenal, I work all day on native app dev and never believed you could get something new and meaningful to work on anyone’s device so effortlessly. I just started making a tron light cycle game with haptics and it nearly one shot it - will finish it off tomorrow. Amazing job Sirian and David!\n\n> I started my dev journey building iOS apps with objective C and xcode. this is so damn cool and amazing\n\n> Currently struggling through using Swift for a mobile app maybe we need to switch to bloom…\n\n### Team 👋\n\nWe’re [**Sirian**](https://www.linkedin.com/in/sirian-maathuis/) and [**David**](https://www.linkedin.com/in/david-oort-alonso/) — we’ve worked together for 2 years and previously built award-winning consumer mobile apps, like [**Giftit**](https://www.giftit.social/), and turned down an acquisition offer for [**Fireview**](https://fireview.dev/) from a Series A YC startup to build Bloom.\n\n### Call to action (aka how to be AWESOME 😎)\n\n* Sign up for early access at [**app.diy**](http://app.diy) and build the idea you’ve been postponing\n* If you’re need to build or prototype mobile apps (iOS & Android) at your company, please book a 15min call so we can help: [https://cal.com/bloomlabs/intro-to-bloom](https://cal.com/bloomlabs/intro-to-bloom**)\n* Reach out with any feedback on [**Discord**](https://discord.gg/MEsnVQN8Jh) or [founders@bloom.diy](mailto:founders@bloom.diy)\n\n![uploaded image](/media/?type=post&id=90756&key=user_uploads/1073860/8a201d0b-ea4d-4618-bff2-d8e1e86caa23)\n\n",
        "url": "https://www.ycombinator.com/launches/Nbo-bloom-the-mobile-app-that-builds-mobile-apps",
        "votes": 39,
        "created_at": "2025-05-27T03:34:44.427Z"
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    "name": "Serafis",
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    "website": "https://serafis.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Serafis is building the AI knowledge graph for market intelligence, starting with the information frontier. Trusted by top investors ($70B+ AUM) and the largest global consulting firms.",
    "one_liner": "Deep intelligence for private markets",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755276267,
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    "batch": "Summer 2025",
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        "full_name": "Rohan Sharma",
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        "founder_bio": "Rohan is the Founder and CEO of Serafis. He was formerly the Head of Data at Ribbit Capital ($12B AUM). Prior to that, he was a Software Engineer at Google, then bootstrapped and exited Kosmos — a data integrations SaaS for wealth managers. He studied Computer Science at Princeton University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/r9a",
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      {
        "id": 102769,
        "title": "Serafis - the podcast app for investors",
        "tagline": "Narrative intelligence to help you find the next 10x idea",
        "body": "**TL;DR** Serafis helps you discover ideas worth paying attention to, from the voices that matter. Our data platform is already used by top asset managers and the world's largest consulting firms. Now, narrative intelligence fits in your pocket.\n\n> “Anytime somebody from one of the \\[AI\\] labs goes on a podcast … it’s so important to listen … it’s in my job description. There are some real needles in the haystack.”\n>\n> Gavin Baker, CIO of Atreides Management ($5B AUM)\n\n🎥 [Discover the next 10x idea with Serafis.](https://www.youtube.com/watch?v=979mS9_-Bs4)\n\n**Serafis indexes the information frontier**\n\nThe sharpest minds now go direct. CEOs, founders, researchers and investors increasingly share their perspectives on independent channels. Hearing from credible voices is one of the most effective ways to:\n\n* Generate new investment ideas\n* Research markets and companies\n* Develop your view on any given topic\n\n**The problem:** harnessing this information is a challenge. It’s scattered and buried across thousands of hours of audio.\n\nSerafis is building a structured, queryable knowledge graph for narratives – starting with podcasts. Search by person, company or theme across 100K+ curated transcripts.\n\n**We’re democratizing narrative intelligence**\n\nToday we’re launching the [Serafis mobile app](https://serafis.app): the world’s first podcast app for investors, with an AI-native interface.\n\n* Discover content relevant to the companies you follow\n* Explore a feed of the most insightful ideas found in podcasts\n* Ask questions about episodes, shows, or the Serafis library. Get answers with timestamped citations that take you to the exact quote.\n\nWe’ve thoughtfully integrated AI to help you find better information, faster. We also know how important it is to stay close to the source. For any episode, you can export, search, and highlight the full transcript.\n\n**Download the app now:**\n\n* [**iOS**](https://apps.apple.com/us/app/serafis/id6751523936)\n* [**Android**](https://play.google.com/store/apps/details?id=com.r9a.serafis.mobileui)\n\nWe’d love your feedback. Feel free to get in touch: [founders@serafis.ai](mailto:founders@serafis.ai)\n\nIf you’re a business interested in using our data platform, please [request a demo.](https://tally.so/r/gD0xxK)\n\n![uploaded image](/media/?type=post&id=102769&key=user_uploads/288934/86305a78-39e4-40ea-8dae-eb7ef9315e5e)\n\n",
        "url": "https://www.ycombinator.com/launches/QjZ-serafis-the-podcast-app-for-investors",
        "votes": 21,
        "created_at": "2026-06-08T23:06:52.317Z"
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    "name": "Kanava AI",
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    "website": "https://kanava.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Distributors face a shrinking workforce and rising call volume.\r\n\r\nKanava AI builds voice-based agents that act like junior sales reps — starting with routine inbound calls, stock and price checks, field note logging, and CRM updates using live ERP data.\r\n\r\nAs the system learns from top reps and real workflows, it levels up: managing full sales calls, surfacing upsells, coaching teams, and reactivating dormant accounts.\r\n\r\nWe help distributors scale sales output without adding headcount — by automating the work reps shouldn’t be doing in the first place.",
    "one_liner": "Your First AI Sales Hire for Wholesale Distributors",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1747765211,
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    "url": "https://www.ycombinator.com/companies/kanava-ai",
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        "full_name": "Smit Dagli",
        "title": "Founder",
        "founder_bio": "Automating sales for distributors using agents. Prev built evals for agents @Observe, backend engineering at Abnormal Security, ChestnutFi, Salesforce",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/smitdagli/",
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      {
        "user_id": 2491961,
        "full_name": "Vikhyath Mondreti",
        "title": "Founder",
        "founder_bio": "Interested in voice agents and selling software to traditional businesses. Founder at Kanava AI.",
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        "linkedin_url": "https://www.linkedin.com/in/vikhyath-m-a00357128/",
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      {
        "id": 90571,
        "title": "Kanava - Your First AI Sales Hire for Wholesale Distributors",
        "tagline": "Answers routine inbound sales calls using ERP data, with hands-free note logging and CRM updates for field reps",
        "body": "**Industrial Sales teams are underwater. Here’s why - and what we’re doing to fix it.**\n\nHi everyone! We’re [Smit](https://www.linkedin.com/in/smitdagli/) and [Vik](https://www.linkedin.com/in/vikhyath-m-a00357128/) - the founders of [Kanava AI](https://kanava.ai/)\n\n**Problem and Opportunity:**\n\nThe wholesale distribution industry is massive: _$9T+ in annual revenue. 410,000+ businesses. 6 million+ employees._\n\nAnd yet — sales teams are drowning.\n\n* **A third of the workforce is over 55**, and replacements aren’t coming fast enough.\n\n  (“Most of my sales reps are **retiring in the next 2-3 years**, I have **NO idea** what I’ll do after” - a medium sized electrical goods distributor from Indiana we met)\n* **Reps spend less than 30% of their time selling**. The rest? Answering repetitive calls (“What’s the price of this SKU?” “Which warehouse has it?”), digging through systems, and manual follow-ups.\n* **Over 25% of inbound calls never reach a human** — lost revenue, lost trust, lost time.\n\nThis isn’t just inefficiency. It’s operational drag at scale — and it's only getting worse.\n\n[https://www.youtube.com/watch?v=s1NVVxRnLL8](https://www.youtube.com/watch?v=s1NVVxRnLL8%5C%5C)\n\n**How’re we solving it:**\n\nWe’re building Kanava AI, a voice-based AI agent designed for wholesale distributors.\n\nIt handles repetitive tasks like **answering stock, price,** and **order status calls** using live **ERP** data and logging **field notes hands-free**, drafting follow-ups, updating the **CRM** all _automatically_.\n\nIt’s like a junior rep-in-training. It starts with the basics, but improves quickly by learning from the company’s best performers. Over time, Kanava takes on more:\n\n•⁠ **⁠Managing consultative sales calls** \\\n•⁠ ⁠**Identifying upsell opportunities** in real time \\\n•⁠ ⁠**Surfacing coaching insights** from rep conversations \\\n•⁠ ⁠**Re-engaging dormant accounts** with timely, data-backed outreach\n\nAnd by the time these reps are ready to retire, Kanava is **ready to fill the void they leave.**\n\nMost AI tools in this space fail because they try to do too much, too early, and distributors are famously late adopters. We’re taking a more deliberate path: start with low-leverage work, prove value, and scale responsibility as the system earns it.\n\n**Our Team**\n\nVik (CTO) and Smit (CEO) know each other since freshman year of college at UC Berkeley. Both of us studied CS, and worked as AI engineers at various startups before deciding to build our own thing and join YC.\n\n**Smit:** Built incident resolution agents at a series B observability startup called Observe. Previously worked at Abnormal Security and Salesforce.\n\n**Vik**: Built voice agents for numerical data entry and hands-free navigation for a data management platform called Uncountable. Previously worked at Uber and Amazon.\n\nWe’re both outsiders to the wholesale distribution industry, but we’re listening hard and learning fast.\n\nWhat made us really want to work together was being on the same ultimate frisbee team in the senior year of college - that team was a disaster, we lost every single game we played by huge margins, but despite that, we had a ton of fun and stuck together!\n\n**Our Ask** If you know any **distributors, field sales heavy businesses or IMR’s (Independent Manufacturer Reps)**, we’d appreciate a connection at [smit@kanava.ai](mailto:smit@kanava.ai) or [vikhyath@kanava.ai](mailto:vikhyath@kanava.ai). We’ll make their lives a lot easier and buy you a coffee ☕🤎\n\n![uploaded image](/media/?type=post&id=90571&key=user_uploads/2493431/bdc2c377-20b6-4db8-ac56-448fb5adafa6)\n\n",
        "url": "https://www.ycombinator.com/launches/NYp-kanava-your-first-ai-sales-hire-for-wholesale-distributors",
        "votes": 56,
        "created_at": "2025-05-20T20:55:42.407Z"
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    "id": 30419,
    "name": "Minerva",
    "slug": "minerva",
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    "website": "https://joinminerva.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re making financial services fast and affordable for everyone, starting with accounting.",
    "one_liner": "AI native financial institution",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1746913900,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/minerva",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/minerva.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/minervaintelligence",
    "x_url": "https://x.com/minerva_yc",
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    "cb_url": "https://www.crunchbase.com/organization/minerva-intelligence",
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        "full_name": "Peter Zhu",
        "title": "Founder/CEO",
        "founder_bio": "Currently building AI accounting agents that streamline operations for accounting firms and SMBs, backed by top VCs like Y Combinator, Amino Capital, Goodwater Capital, and senior leaders from DoorDash, Affirm, and Bill.com.\n\nPreviously studied Math and Computer Science at Brown University. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zhudanmeng",
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      {
        "user_id": 699602,
        "full_name": "Om Agarwal",
        "title": "Founder/CTO",
        "founder_bio": "Accessible financial services for all",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/om-agarwal/",
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      {
        "id": 90474,
        "title": "Minerva - AI Accountant for SMBs",
        "tagline": "Instant, flawless AI accountant",
        "body": "Hi everyone 👋 we’re [Peter](https://www.linkedin.com/in/zhudanmeng/) &amp; [Om](https://www.linkedin.com/in/om-agarwal/). We’re building the future of accounting.\n\n**TL;DR**\n\n**Minerva:** Automated, end-to-end business accounting—at a fraction of the cost.\n\n* **Seamless data capture:** Instantly syncs with Email, WhatsApp, Stripe, Shopify, Drive and any platform where money moves.\n* **Zero manual work:** From transaction categorization through bookkeeping and reconciliation to tax-ready reports and filings.\n* **Smart tax guidance:** Real-time insights and personalized strategies to minimize liabilities and boost cash flow.\n\n**_Ask:_**\\_ Need accurate, instant accounting services? Email: [om@tryminerva.ai](https://mailto:om@tryminerva.ai) or [book a demo here](https://cal.com/omagarwal/30min).\n\n**Launch video**\n\n<https://youtu.be/ntPnAkXBJ9E>\n\n**What we do**\n\nWe believe accountants will not exist in 10 years. AI has just now made it possible to automate almost every single task they do, and we are here to capitalize on that. We aim to replace all bookkeeping, accounting and tax filing jobs within small businesses globally.\n\n![uploaded image](/media/?type=post&id=90474&key=user_uploads/699602/a3d4cbc1-3f96-4b78-a0ee-87bd139773c5)\n\nTraditional software (Quickbooks/Xero) can’t think, and traditional accountants (Fondo/Finta) can’t scale—we need something more.\n\nMinerva delivers CFO-level intelligence through AI—ready to ingest every bank feed, invoice, chat, and doc. It is the most agentic accountant you will ever have.\n\n![uploaded image](/media/?type=post&id=90474&key=user_uploads/699602/c9e3451a-5601-44c8-af81-4d119e8ff2fd)\n\n**Minerva is a CFO-grade, AI-powered accounting service that:**\n\n* **Ingests everything.** Pulls bank feeds, invoices, chats, docs—then learns your revenue streams and approval quirks automatically.\n* **Writes the follow-ups.** Auto-emails vendors, customers, or teammates to chase receipts, fix POs, or renegotiate terms—politely and persistently.\n* **Answers instantly.** Type “burn-rate trend” or “campaign ROI” and get audit-ready numbers plus a plain-English blurb.\n* **Autopilots your P&amp;L.** Spots gaps in real time, pings the right person, and reconciles the moment data lands—no month-end scramble.\n* **Looks forward, not back.** Runs live 13-week cash forecasts, Monte-Carlo stress tests, and hiring “what-ifs,” refreshing every few minutes.\n* **Turns regulations into refunds.** Tracks global tax codes, surfaces every credit or deduction, prepares the forms, and e-files on time.\n* **Optimizes cash like a treasury desk.** Sweeps idle balances into high-yield accounts, times payments for float and discounts, and flags financing options before gaps appear.\n* **Tells the story.** Auto-builds board decks, KPI dashboards, and investor memos—charts, insights, even voice-overs included.\n* **Stays audit-ready.** Maintains a time-stamped evidence vault and runs continuous mock audits.\n* **Learns on its own.** Each close cycle sharpens categorization and forecasts—no upgrades needed.\n* **Integrates everywhere.** From Stripe to Shopify, Slack to WhatsApp—if it holds financial signal, it’s in scope.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=90474&key=user_uploads/699602/ad5b3f23-b22c-496d-a475-06e827cb1aa8)\n\n[@Peter Zhu](https://bookface.ycombinator.com/user/317122) (left), [@Om Agarwal](https://bookface.ycombinator.com/user/699602) (right). We’re from Canada &amp; met at an international science fair during high school. We have been building together ever since! We both have 2 decades of combined experience building software.\n\n---\n\nCheck us out @ [joinminerva.ai](https://joinminerva.ai)\n\nContact us @ [om@tryminerva.ai](mailto:om@tryminerva.ai) ",
        "url": "https://www.ycombinator.com/launches/NXG-minerva-ai-accountant-for-smbs",
        "votes": 30,
        "created_at": "2025-05-16T17:06:06.568Z"
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    "id": 30420,
    "name": "Cua",
    "slug": "cua",
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      "Cua",
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        "title": "Auctor: AI agents that streamline enterprise software implementations.",
        "tagline": "The fastest way to go from discovery to delivery—without the mess.",
        "body": "Hey YC! 👋\n\nWe're Xinan, Will, Matt, and Sky—co-founders of Auctor. We’re building an AI-native platform that streamlines enterprise software implementations.\n\n**TL;DR:**\\\nEnterprise software implementations (Oracle, SAP, Salesforce, etc.) are messy and expensive, plagued by shifting requirements, misaligned teams, and obsolete documentation. Auctor's AI agents solve this by automatically capturing requirements, generating artifacts (like SoWs, proposals, architecture docs, user stories, and more), and seamlessly syncing everything across your tools, eliminating costly delays and change orders.\n\n🎬 **Launch Video:** https://youtu.be/A-T2gwZCOMM\n\n## **🚨 The Problem**\n\nEvery implementation team—whether at software vendors or tech consultancies—knows this pain:\n\n* Fuzzy, incomplete requirements at kickoff\n* Tribal knowledge buried in notes and scattered docs\n* Endless manual edits across SOWs, user stories, test plans, and more\n* Costly rework, misalignment, and change orders\n\nDespite billions invested annually, over 70% of enterprise implementations still experience significant delays, overruns, and failures.\n\n## **🚀 Our Solution**\n\nAfter over 300 customer calls, we've spent the last several months building what we think every implementation team needs:\\\n🧠 AI agents that join your discovery/refinement calls,\n\n✍️ capture every requirement,\n\n📄 generate artifacts—from SOWs & design docs to user stories & configs,\n\n🔁 and keep it all in sync every time something changes.\n\n**It’s like having a sales engineer, solutions architect, and a delivery lead...all working 24/7, automatically.**\n\n# 👫  **The Team**\n\nWe are four best friends who gave up our jobs at Meta, Google, AWS, and Apple, and dropped out of Johns Hopkins to tackle the broken implementation process head-on. \n\nWe're building a new intelligence layer that leading mid-market and enterprise customers are leveraging today to reshape how implementations get done, faster than ever.\n\nOh—and meet our fifth cofounder (Chief Bark Officer 🐶) in the photo!\n\n![uploaded image](/media/?type=post&id=90211&key=user_uploads/1780083/82da5007-0632-4ce8-9bad-43b68de9ee9b)\n\n## **🙏 Our Ask**\n\n* Know any professional services, customer success, or tech consulting leaders struggling with complex implementations? We'd love an intro 👉 [will@getauctor.com](mailto:xinan@getauctor.com)\n* Curious how Auctor can transform your own implementations?[ Book a live demo here!](https://www.getauctor.com)\n\nThank you—more to come!",
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        "body": "**TL;DR:**\n\nCapacitive lets anyone build agents that work on their behalf. Connect your platforms to us once, “chat” freely with your data, and automate workflows using only your words.\n\n[Launch Video](https://youtu.be/7d0EwiiHirQ)\n\n**🔋 Capacitive, the solution:** \n\nWork happens in what can feel like a million places — Slack, Confluence, Google Drive, HubSpot, Jira… you name it. Capacitive is a delightfully taut web platform that allows you to run work across all of those platforms and hundreds more, all from one place.\n\nConnect your platforms to us once and “chat” with your data freely… we make asking one-off questions like “what’s my monthly burn?” or performing tasks like “find all clients in my pipeline who haven’t created an account and follow up with them” brilliantly simple. And building lightweight agents for repetitive tasks happens with just a few sentences.\n\nWith granular tool filtering, robust role-based access controls, and airtight security permissioning, Capacitive allows knowledge workers and companies alike to turbocharge their operations using AI worry-free.\n\n🤝 **The Team**\n\nKevin and Rohan have known each other for five years, having attended the Phillips Exeter Academy and subsequently Yale together.\n\n🎯 **Asks**\n\nOur Public Beta is going live on May 30th. Visit [www.capacitive.ai](http://capacitive.ai) to get started today, for free!\n\n![uploaded image](/media/?type=post&id=90842&key=user_uploads/2250726/87ff870c-427a-4e35-a81d-cba6a09a323f)\n\n",
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        "created_at": "2025-05-29T01:05:31.981Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Feyn is an end-to-end service for building custom models from your data. Our models learn how your product actually works, handle the rare cases that are costly to get wrong, and grow sharper the longer they run.\r\n\r\nOur engineers start by reviewing your current setup and agreeing on what quality means for your workflow. Then we train a model on your data. Once it ships, new cases feed back into training so the model keeps improving. \r\n\r\nThe result is a model that runs faster, improves with use, and is yours to own.",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Shreyash Nigam",
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        "founder_bio": "Building custom models at Feyn. Previously on-device AI, Ads personalization, and VM memory at Google.",
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        "linkedin_url": "https://www.linkedin.com/in/shreyashnigam/",
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        "full_name": "Bhavnick Minhas",
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      {
        "id": 90330,
        "title": "Chonkie 🦛 Open Source Data Ingestion for AI",
        "tagline": "Feed your models better. Chonkie cleans, chunks, and makes your data AI ready",
        "body": "![uploaded image](/media/?type=post&id=90330&key=user_uploads/1849274/669a375f-f24a-4d4b-9cca-c668ce5d3da4)\n\n## 🚀 TL;DR\n\nModels are now a commodity. The real differentiator for AI applications is _how effectively they use their data_. However, building robust data systems can be both complex and time-consuming.\n\nChonkie fixes this. We make it easy to bring high-quality data ingestion and context-building to your AI projects, ensuring your application is accurate, fast, and cost-efficient.\n\nWe’re open source on GitHub! ([Python](https://github.com/chonkie-inc/chonkie), [TypeScript](https://github.com/chonkie-inc/chonkie-ts)). Leave us a ⭐!\n\n# 🎬 Launch Video\n\nhttps://www.youtube.com/watch?v=eBvCCEgbNDw\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n## 👀 Are you…\n\n👷 **A Builder**\n\n* Install with [pip install chonkie ](https://pypi.org/project/chonkie/)or [npm i chonkie](https://www.npmjs.com/package/chonkie)\n* Use it for free in your projects\n* Join our [Discord](https://discord.gg/6V5pqvqsCY) for direct support from the founders!\n\n🏢 **Business Looking To Go AI Native**\n\n* Want a managed ingestion pipeline? [Contact us](https://cal.com/shreyashn/chonkie-demo)\n* Enjoy a white-glove onboarding experience\n* Use our hosted solution or deploy on-prem!\n\n## ✨ Why Chonkie?\n\nMost AI products today don’t fail because of the model. They fail because they’re fed disorganized, bloated, or incomplete data. The results in wrong answers, slow performance, and expensive bills. There are some existing tools that try to address this, however they are either:\n\n* 🔻 Too slow or bloated\n* 🧱 Too barebones — feels like reinventing the wheel every time\n\nSo we built **Chonkie** — fast, lightweight, and comprehensive.\n\n**Chonkie + Your Amazing AI Application =**\n\n* 🎯 More accurate result\n* ⚡ Faster response times\n* 💸 Lower token usage\n\n## 🔧 What Can Chonkie Do?\n\nChonkie handles the full data ingestion pipeline for AI projects:\n\n* 📄**Bring Any Document**: All formats welcome\n* 🍳**Clean It with Our Chefs**: Normalize and prep your data\n* 🧩**Chunk It**: Break documents into meaningful pieces\n* 🛠️**Refine Your Chunks:** Add context, metadata, or convert to embeddings\n* 🔌**Connect Anywhere**: Integrate with any database and fetch your chunks with ease\n\n## 🎥 See It in Action\n\nSee how Chonkie splits your data, reduces token costs by over **75%**, and generates citations automatically!\n\n![uploaded image](/media/?type=post&id=90330&key=user_uploads/1849274/5ec9dbe7-37c8-428d-b589-8d71c6195191)\n\n## ✅ Try Chonkie Today\n\n* 📬Looking for a managed enterprise solution? [Contact us](https://cal.com/shreyashn/chonkie-demo)\n* 💻 Install our open source offering with  pip install chonkie or npm i chonkie\n* 💬Join our [Discord](https://discord.gg/6V5pqvqsCY) for support and community\n\n\\~Happy Chonking! 🦛✨",
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        "created_at": "2025-05-13T13:34:25.524Z"
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        "title": "Build MCP AI Agents with NoCode PLUS: Native graph-vector database, Use MCP servers with Claude on web",
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        "title": "HelixDB - The database for RAG & AI",
        "tagline": "HelixDB is a graph-vector database that brings structure to your un-structured data for RAG and AI applications. ",
        "body": "Hi everyone 👋\n\nWe’re [George](https://www.linkedin.com/in/george-curtis-12b232a5/) and [Xav](https://www.linkedin.com/in/xaviercochran/) – co-founders of [HelixDB](https://www.helix-db.com)\n\n# TL;DR\n\n**HelixDB is an open-source graph-vector database that brings structure to your un-structured data for RAG and AI applications.**\n\n**_ASK:_** Can you introduce us to people/companies that are working on Graph/Hybrid RAG that could benefit from better performance or less overhead in their development cycles? Contact me at [george@helix-db.com](https://mailto:george@helix-db.com)\n\nhttps://youtu.be/V5viTRj2h68\n\n# ❌ The Problem\n\nAI is changing at a rapid rate which is fundamentally changing technology. This new tech **_needs_** new infrastructure.\n\nEveryone is trying to build AI applications, which often involve dedicated data retrieval for their specific use case. Building these retrieval systems is hard. Previously, we’ve relied solely on vector databases to retrieve semantic matches on tiny snippets of text data. But, this technology is shifting and is relying more heavily on connected data, which comes with better context.\n\nBut building these retrieval systems often involve:\n\n1. **Vector databases**\n2. **Graph databases**\n3. Bespoke **middleman/syncing** software\n\nThese setups are complicated, take a lot of time, engineering expertise, and create huge amounts of overhead which makes maintaining them very time consuming and expensive.\n\n# ✅ Our Solution\n\nHelixDB integrates semantic meaning (through its vector types) with relationships to other data (graph types), a similar model to how we structure information in our brains.\n\n![uploaded image](/media/?type=post&id=90705&key=user_uploads/1342245/468263b3-fb06-4efe-9352-4c30923c6d10)\n\nThis makes it the best solution for making AI retrieval engines for agents and LLMs.\n\nHow we currently do this:\n\n1. Seamlessly integrate **vector types** into your **knowledge graph**\n2. **Type-safe query language** that guides developers and agents to write correct queries before they are executed\n3. **Extreme speeds** outperforming industry leaders by 1-3 orders of magnitude\n\nHow we’re going to make it better:\n\n1. **MCP tools** that allow agents to walk the graph themselves, deciding at each step how to traverse the graph based on the schema and available data.\n2. Built-in **ingestion pipelines** for multi-modal data.\n3. Built-in **embedding-models** bringing immediate structure to your knowledge graph.\n\nTo get setup, follow the guide in our README:\\\n[HelixDB Github](https://github.com/helixdb/helix-db)\n\n# 🙏🏻 Our Ask\n\n* Can you introduce us to people/companies that are working on Graph/Hybrid RAG that could benefit from better performance or less overhead in their development cycles? Get them to [book a call](https://cal.com/georgec/30min) or email [george@helix-db.com](https://mailto:george@helix-db.com)\n* If you have a Github account, then [give us a star 🌟](https://github.com/HelixDB/helix-db)\n\nYour help and support makes a huge difference for this project. **Thank you!**",
        "url": "https://www.ycombinator.com/launches/Naz-helixdb-the-database-for-rag-ai",
        "votes": 160,
        "created_at": "2025-05-24T19:55:54.908Z"
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    "long_description": "Method turns repeated work into workflows your coding agent can run, check, and improve.",
    "one_liner": "Agents that improve",
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    "url": "https://www.ycombinator.com/companies/method",
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    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/105607717",
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        "id": 90568,
        "title": "Zenobia Pay - Payments for luxury",
        "tagline": "Pay-by-bank to end high credit card fees.",
        "body": "Hey! We’re [Teddy](https://www.linkedin.com/in/theodore-li-0425b5177/) and [Ryan](https://www.linkedin.com/in/rprendergast/), co-founders of [Zenobia Pay](https://www.linkedin.com/company/zenobia-pay).\n\nZenobia Pay enables luxury brands to accept pay-by-bank and avoid fraud, chargebacks, and credit card fees.\n\nhttps://youtu.be/1dwgU3zQz3k\n\nOnline credit card payments are expensive and rife with fraud. Fees account for 3+% of transaction volume, and high-ticket items account for more than a third of the 100 million annual chargebacks in the US.\n\n**With Zenobia Pay, payments cost only 1%, clear instantly, and are protected with a fraud chargeback guarantee**. Customers link their bank to their own hardware, where it’s stored locally in a secure enclave. Merchant sites never see sensitive tokens or account numbers.\n\nFounders Theodore Li and Ryan Prendergast started Zenobia Pay with a mission to make it 3x cheaper to transact online, bypassing the senselessly high credit card interchange fees that aren’t normal anywhere outside the US.\n\nIf you sell goods online for &gt;$200 and want to 3x lower your fees, email us at [merchants@zenobiapay.com](mailto:merchants@zenobiapay.com). View our site at [zenobiapay.com](https://zenobiapay.com/)",
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        "full_name": "Andrey Avtomonov",
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        "title": "Kaelio: Open-source context layer for data agents",
        "tagline": "We give data agents the context they need to be reliable on your data stack.",
        "body": "Hey everyone! We’re [Luca](https://www.linkedin.com/in/luca-martial/) and [Andrey](https://www.linkedin.com/in/andreyavtomonov/), the founders of Kaelio.\n\n**TL;DR**:\n\nKaelio is the company behind **ktx**, the open-source context engine for data agents. Claude Code, Codex, and custom data agents can write SQL that _looks_ reasonable, _runs_ fine, and still returns the wrong number.\n\nktx gives them a context layer: Markdown wiki pages for business knowledge, YAML files for executable metric definitions, joins, grain, measures, dimensions, filters, and segments. Agents ask ktx for the metric they need; ktx plans the query and compiles SQL.\n\n<https://www.youtube.com/watch?v=5V4TuzYVlrA>\n\n# The problem\n\nAgents are good at exploring schemas and writing SQL that _looks_ correct and _runs_ fine, but always ends up using the wrong joins, filters, or metric logic.\n\nTo cite a few examples of “agents gone wrong”:\n\n* Stale column + hidden business rule: when preparing a board report, a finance analyst asks Claude Code for “ARR by customer segment”, it derives ARR from multiple tables (subscriptions, plans, accounts), then groups by accounts.industry. But CC doesn’t know that this industry column was deprecated a few months prior, or that past board reports excluded paused subscriptions from the ARR calculation\n* Join fanout: a data analyst at a retailer uses their company’s internal agent to prep a product revenue deck for a QBR. The agent joins orders to order_items, then sums orders.total \\_amount_cents grouped by order_items.product_id. The SQL runs fine, but each order’s revenue is repeated once per line item, which most people will miss if most orders only have 1 item\n* Missing attribution logic: a marketing analyst asks Codex “Which campaigns drove the most revenue?” Codex joins marketing_touches to users to orders and groups by utm_campaign. But since each order can have multiple touches before purchase, the same order can be credited to first touch, last touch, every touch, or every campaign the user clicked before buying. If the agent chooses the method that doesn’t match the team’s attribution logic, they’ll make suboptimal decisions\n\nThe issue is that schema access doesn’t tell an agent which metric definition is approved, which dimension is stale, or what jargon the company uses internally.\n\n# How ktx works\n\nktx splits context into 2 parts:\n\n1. **Business context**: Markdown wiki pages (definitions, conventions, jargon, gotchas).\n2. **Executable definitions**: YAML files declaring tables, row grain, joins, measures, dimensions, filters, and filter groups.\n\nBoth are plain files in git.\n\nWhen an agent needs a metric, it asks ktx for a measure + dimensions + filters instead of writing SQL itself. ktx’s planner picks the join path, uses grain and relationship metadata, catches issues like join fanout and chasm joins, and compiles the warehouse SQL.\n\n![uploaded image](/media/?type=post&id=102087&key=user_uploads/765285/a2205b17-21b1-4b6e-9eac-2bfa26548391)\n\nktx can ingest context from:\n\n* Warehouses: Postgres, Snowflake, BigQuery, ClickHouse, MySQL, SQL Server, SQLite, _(more coming)_\n* Modeling tools: dbt, MetricFlow, LookML, _(more coming)_\n* BI tools: Looker, Metabase, _(more coming)_\n* Docs: Notion, _(more coming)_\n* Live corrections from users during agent sessions\n\n# How we got here\n\nWhile building data agents for dozens of companies, from SMBs to enterprises, we learned 2 valuable lessons.\n\n1. Giving agents more context through prompts, skills, or Markdown docs helps them navigate the schema, but the final step is still pretty much “write the SQL from scratch.” Since the entities written to these docs are rigid, the agents still have to decide which joins or definitions to use, how to aggregate, and whether a result is safe to trust.\n2. Semantic layers solve the executable part, but they’re extremely painful to build and maintain. Also, a lot of useful context lives outside the semantic layer: dbt, dashboards, query history, warehouse metadata, Notion pages, Slack threads, and corrections from analysts.\n\nktx combines the best of both worlds: the breadth of a knowledge base + the SQL safety of a semantic layer, optimized for agent use and maintenance.\n\n# Try it out\n\nGitHub: <https://github.com/Kaelio/ktx>\n\nInstall manually:\n\n```bash\nnpm install -g @kaelio/ktx\nktx setup\n```\n\nOr tell your agent to do it for you:\n\n```\nRun npx skills add Kaelio/ktx --skill ktx and use ktx skill to install and configure ktx\n```\n\nIf you’d like help managing context for your data agents, book a demo for ktx’s managed version: <https://www.kaelio.com/products/ktx-cloud>",
        "url": "https://www.ycombinator.com/launches/QYZ-kaelio-open-source-context-layer-for-data-agents",
        "votes": 6,
        "created_at": "2026-05-28T16:50:20.005Z"
      }
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    "id": 30438,
    "name": "Beluga",
    "slug": "beluga",
    "former_names": [
      "Beluga Labs"
    ],
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    "website": "https://www.trybeluga.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Using our 6+ years of creator marketing experience to help companies run their creator campaigns at scale. Fully managed solution to drive real, attributable results to their marketing efforts.",
    "one_liner": "Creator marketing that scales like paid ads",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1748129784,
    "tags": [
      "Marketing",
      "Advertising",
      "Creator Economy",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/beluga",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/beluga.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/beluga-labs-ai/",
    "x_url": "https://x.com/trybeluga",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/belugaworks",
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    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 2204818,
        "full_name": "Fernando Young",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Beluga Labs. Studied Sociology at Harvard and cross-enrolled at MIT Sloan. Perviously part of the GTM team at Meta, led sales at Dare Drop, and was most recently a Senior Account Executive at HubSpot. Now building Beluga Labs to help content creators operate more like a business.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/fernando-young-13b713166/",
        "x_url": "https://x.com/Fern_Y0ung",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/737eec44898287461eef94df920d67a56fb317ca.jpg"
      },
      {
        "user_id": 2210281,
        "full_name": "Jack Swisher",
        "title": "Founder/CTO",
        "founder_bio": "Co-led AI R&D at Bubble designing a text to app generator in Bubble's native, drag and drop language. Studied Computer Science and Statistics at Harvard and wrote a thesis on evaluating generative models. Now building Beluga to transform how companies grow through creators.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jack-swisher-77548a165/",
        "x_url": "https://x.com/Jack__Swisher",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86e37ee92739f6fb866f40d6e73bb55913da251c.jpg"
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    "launches": [
      {
        "id": 107925,
        "title": "Beluga - Creator Marketing on Autopilot",
        "tagline": "Run creator marketing like paid ads",
        "body": "**TL;DR**: We run creator marketing end-to-end so companies can test and scale the channel without needing to hire.\n\n![uploaded image](/media/?type=post&id=107925&key=user_uploads/2204818/717d980b-6271-4c94-a779-1c60e4277af9)\n\nMarketers do not need to be convinced that distribution matters.\n\nThe harder question is whether a channel can become repeatable before it consumes the whole team.\n\nCreator marketing is one of those channels. It oftentimes performs 3-5x better than traditional digital ads. When it works, it can drive real awareness, clicks, and signups from audiences that are hard to reach through paid ads. But running it well still tends to mean spreadsheets, inboxes, rate negotiations, contracts, draft reviews, tracking links, payment follow-up, and a lot of manual judgment.\n\nThat is what we built Beluga to fix.\n\n---\n\n## Why this problem got under our skin\n\nOne of the largest spenders in creator marketing made the labor problem concrete for us. They are spending in the high six figures each month, and told us they employ 30+ people to run their creator partnerships. Even then, each rep can only manage around 18 creators.\n\nThey also told us that if they had $2M ready to put into the channel tomorrow, they wouldn’t be able to do it. They would need to hire even more people.\n\nThat is a wild ceiling for a marketing channel that should scale with spend.\n\nWe got pulled into this from both sides.\n\nFernando saw the brand side up close at Dare Drop, helping gaming publishers run creator campaigns. The demand was real, but the operating model still looked like a traditional agency: lots of coordination, lots of manual work, and a hard ceiling on how much the team could scale.\n\nWe also spent time on the creator side while trying to build a Rippling for the self-employed. Working with creators on taxes showed us the other half of the problem: even when a brand deal is a good fit, the process around it is painful. Creators have to find deals that match their audience and content style, align expectations with the brand, actually run the campaign, and then hope they get paid on time.\n\nWe kept seeing the same thing from both sides: brands wanted creator marketing to work, creators wanted better deals and less chaos, and everyone was somehow stuck in spreadsheets, email threads, and manual follow-up.\n\n---\n\n## What Beluga does\n\nThe problem is not that creator marketing is mysterious. It works when you find the right creators, give them enough room to make authentic content, track the results properly, and run enough shots on goal.\n\nThe hard part is doing all of that consistently without making it a headcount problem.\n\nBeluga is our attempt to make creator marketing feel more like running a paid acquisition channel: set the target, set the budget, see what is happening, and double down on what works.\n\nWe run campaigns ed-to-end, including:\n\n* Creator sourcing and vetting\n* Pricing and negotiation\n* Contracting\n* Deliverable management\n* Creator payments\n* Performance tracking\n* Post-campaign analysis\n\nThe goal is that a founder or growth team can test creator marketing without building the internal machine. If the results are there, we help them scale the channel without turning it into a hiring plan.\n\nSince starting in March, we have generated over 3M views for clients ranging from YC companies to Series F hyperscalers, and saved over $100k in negotiations.\n\n![uploaded image](/media/?type=post&id=107925&key=user_uploads/2204818/2dd9d0b8-f197-41aa-aa36-621c473b6569)\n\n_Beluga helped take Freebuff, Codebuff's free coding agent, from roughly 50 to 1,200 daily active users at peak._\n\nFor another Series F company, we drove 3,500+ signups in two weeks.\n\n---\n\n## Who Beluga is for\n\nWe are most useful when you already believe creator marketing could fit your market, but you do not want the channel to require a whole internal team before it can scale.\n\nOur bet is that the traditional operating model is the problem: most of the sourcing, negotiation, coordination, payments, and reporting should not require dedicated headcount inside every company.\n\nThat also changes what is possible. When the work gets cheaper and easier to coordinate, you can test more creators, go after smaller but better-matched channels, and deploy more capital without being bottlenecked by how many deals an internal team can manually manage.\n\nThe signal we look for is simple: can we name a real content audience where your users spend time?\n\n\"Developers who watch AI coding tool reviews on YouTube\" is a clean audience shape. So is a consumer category with obvious creator communities. A niche B2B buyer can still work, but if the buyer is hard to describe in creator and audience terms, or the product only moves through a long enterprise committee, the test usually has less conversion signal.\n\nThe other important thing is seriousness about the experiment. Creator marketing is not one magic post. It takes enough well-matched attempts to learn which creators, formats, and messages work. If distribution is a real priority and you want to test the channel properly, that is the conversation we are best suited for.\n\n---\n\n## Why us\n\nThe reason we think we can make this work is that we have lived the messy parts.\n\nFernando ran millions in ad spend at Meta and then sold creator campaigns at Dare Drop. Zan, our Head of Account Management, led outreach across tens of thousands of creators and is a content creator himself. [@Jack Swisher](https://bookface.ycombinator.com/user/2210281) spent years building AI systems at Bubble and now works on building the infrastructure needed to make our vision a reality.\n\nBetween us, we have seen the agency side, the creator side, the paid acquisition side, and the automation side.\n\nOur mission is simple: make creator marketing as measurable and easy to run as paid ads.\n\n---\n\n## The ask\n\nIf creator marketing is on your roadmap and you do not want the channel to become an internal ops burden, we would love to chat.\n\nAnd if you know another founder or growth lead who already believes distribution matters and is thinking about creator marketing this year, an intro would be hugely helpful.\n\n[Learn more here](https://www.trybeluga.ai/)",
        "url": "https://www.ycombinator.com/launches/S4j-beluga-creator-marketing-on-autopilot",
        "votes": 13,
        "created_at": "2026-07-27T18:18:30.035Z"
      }
    ]
  },
  {
    "id": 30439,
    "name": "Clarm",
    "slug": "clarm",
    "former_names": [
      "Dialin - Dialogue Insights",
      "dialin",
      "dialin ai",
      "Dialin AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a20bfc6fd0067cd630d43fa83552c610e2a0c0d2.png",
    "website": "https://www.clarm.com",
    "all_locations": "ZH, Switzerland",
    "long_description": "Clarm Atlas 10xes productivity for non-technical operators in high-trust, regulated teams - banks, healthcare, insurance, publicly listed companies - by letting them build their own, fully governed AI agents. Teams build agents on their own approved data: every answer cites its source, all primitives are deterministic and highly governable, every action is logged for audit, and you bring your own AI model.",
    "one_liner": "Build governed AI agents on your own data, without code",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1747978633,
    "tags": [
      "Sales",
      "Marketing",
      "Customer Support",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
      "Switzerland",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/clarm",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/clarm.json",
    "year_founded": 2025,
    "city": null,
    "country": "CH",
    "linkedin_url": "https://www.linkedin.com/company/clarm",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 2476585,
        "full_name": "Marcus Storm-Mollard",
        "title": "Founder/CEO",
        "founder_bio": "I speak 8 languages.\n\nBuilt Clarm to fix productivity (2025-?).\nBuilt the world's most accurate consumer goods forecasts using AI at NielsenIQ (2022-24). $0-7m ARR in 2y.\nVisiting Research Fellow at the University of Oxford; published AI swarm research with a MIT journal (2021).\nLed AI at Deutsche Bank SeS before AI was cool (2019-21). $10m ARR in 2y.\nBanker at Deutsche Bank. Financed bridges, markets, hospitals etc from Peru to Taiwan.\nMSci Physics, Imperial College London.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marcus-storm-a0514aa1/",
        "x_url": "https://x.com/marcus1storm",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/90701d0f760ff3006a303fc596914f21bd8fa4fd.jpg"
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      {
        "id": 90682,
        "title": "Clarm - Zero Hallucination AI Deep Research agents",
        "tagline": "Build fully automated workflows for high-trust environments",
        "body": "# **Things can only get better. 📈**\n\nHey, we’re [Marcus](https://www.linkedin.com/in/marcus-storm-mollard-a0514aa1/) and [Alex](https://www.linkedin.com/in/alex-usher/) at ◮ [Clarm](https://clarm.com?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=1). We've worked on AI since the 2010s and in industries where perfect workflows are critical to company survival (Deutsche Bank, Amazon).\n\n# **Problem ❌**\n\nDeep research agents could replace much of white-collar work, but companies can't deploy them because they lack trust in the data sources and control over the reasoning process. Legal and Compliance teams block adoption because existing AI tools make things up.\n\n# **Solution 💡**\n\n[Clarm](https://clarm.com?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=1) is your AI deep research agent builder for high-trust environments. Our platform connects across 40+ enterprise integrations - CRMs, email, knowledge bases - and lets you build precise, repeatable workflows that transform how teams work without the risk.\n\n![uploaded image](/media/?type=post&id=90682&key=user_uploads/2476585/fc020dbb-e97a-4980-b074-69a20242c1ef)\n\nWe’re actively developing [Clarm](https://clarm.com?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=1) for customers such as:\n\n* law firms to find relevant information within the thousands of emails and documents\n* asset managers to evaluate proxy voting preferences across 90,000 shareholder meetings\n* luxury goods retailers to increase client response rate from 5% to 50% through deep personalization (as compared to standard Hubspot-generated marketing copy)\n* fast-growing startups to onboard new hires instantly with bespoke training material created on their own customer calls\n* top open source startups to increase engagement with their Github repo and knowledge base\n* services firms to instantly answer '000s of client support questions, driving up engagement and turning curious prospects into committed customers\n\nhttps://youtu.be/on2OVIuO62M\n\n# **Team 👏**\n\nMarcus led the first AI team at a major Corporate Bank, growing it to $10m ARR in 2 years. After a Visiting Research Fellowship at the University of Oxford, he built the world’s most accurate consumer goods forecasting model for the world’s largest market researcher, scaling it from 0 to $7m ARR in 2 years. Marcus has worked all over the world and speaks 8 languages (on a good day).\n\nAlex built and maintained payment systems at Amazon Prime Video, processing $bns per year. He was top of his class at Imperial College London and holds numerous industry awards and publications.\n\n# **Our ask 🙏**\n\nWe’d like intros to buyers at high trust firms, like finance, luxury, and law.\n\nWe’d also be open to working with you directly if you sell into these firms and need precise, on-prem deep research agents to power your products.\n\nWe’d love to hear from you! Get in touch at [marcus@clarm.com](mailto:marcus@clarm.com). **Thank you.**",
        "url": "https://www.ycombinator.com/launches/Nac-clarm-zero-hallucination-ai-deep-research-agents",
        "votes": 43,
        "created_at": "2025-05-23T18:03:03.761Z"
      }
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    "id": 30440,
    "name": "Sim",
    "slug": "sim",
    "former_names": [
      "Sim Studio"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4376dcee0d9f629b17716a4c480cf0b33c46b8c6.png",
    "website": "https://sim.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sim is a platform to build autonomous AI agents for enterprise systems. Teams connect their integrations and Sim builds a knowledge graph of company data and processes; from there, they work with Sim to build and monitor the AI agents and workflows that run production systems.",
    "one_liner": "Build autonomous AI agents for enterprise systems",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1746478234,
    "tags": [
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sim",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sim.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/simstudioai",
    "x_url": "https://x.com/simdotai",
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    "cb_url": null,
    "github_url": "https://github.com/simstudioai/sim",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4376dcee0d9f629b17716a4c480cf0b33c46b8c6.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 2320005,
        "full_name": "Emir Karabeg",
        "title": "Founder/CEO",
        "founder_bio": "Emir is the Co-Founder and CEO of Sim Studio. Emir studied Data Science and Cognitive Science at UC Berkeley, where he conducted NLP research for machine translation. \n\nBefore Sim Studio, Emir built WorkNinja, an AI learning platform with 300,000+ MAUs. WorkNinja was one of the first LLM chain-of-thought applications deployed at scale (December '22). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/emir-karabeg-53ab52196/",
        "x_url": "https://x.com/emkara",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/90dc84d2ab9f67356a5e203d94c940ba82995cfc.jpg"
      },
      {
        "user_id": 2343976,
        "full_name": "Waleed Latif",
        "title": "Founder/CTO",
        "founder_bio": "Waleed is the Co-Founder and CTO of Sim. Waleed studied CS and Cognitive Science at UC Berkeley, where he led engineering and publications for Neurotechnology at Berkeley. \n\nBefore Sim, Waleed built the core backend infrastructure for Ring at Amazon, which today processes over 1M+ transactions per second.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/waleedlatif",
        "x_url": "https://x.com/typingwala",
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    ],
    "jobs": [
      {
        "id": 91604,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/sim/jobs/eCL10vj-founding-design-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $250K",
        "equity_range": "0.25% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "Figma"
        ]
      },
      {
        "id": 109887,
        "title": "Founding Sales",
        "url": "https://www.ycombinator.com/companies/sim/jobs/DBuSbGh-founding-sales",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $175K",
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        "id": 109889,
        "title": "Software Engineer, Agent Harness",
        "url": "https://www.ycombinator.com/companies/sim/jobs/cv837ZC-software-engineer-agent-harness",
        "location": "San Francisco",
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        "title": "Founding Marketing",
        "url": "https://www.ycombinator.com/companies/sim/jobs/Ll8rzsF-founding-marketing",
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        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
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        "url": "https://www.youtube.com/watch?v=mJO10CL-FGI",
        "date": "Nov 12, 2025"
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        "title": "$7M Series A | Sim",
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      {
        "id": 90127,
        "title": "Sim Studio: UI to Build AI Agents",
        "tagline": "The fastest way to build AI agent workflows for production",
        "body": "**_TL;DR_** [Sim Studio](https://www.simstudio.ai/) is an [open-source](https://github.com/simstudioai/sim) interface to build and deploy AI agent workflows.\n\n![uploaded image](/media/?type=post&id=90127&key=user_uploads/2320005/bcf7b4e1-6692-455c-932a-8f2047d2b652)\n\nOur Figma-like canvas allows users to drag-and-drop connect LLMs to their favorite tools (Slack, Supabase, Pinecone, Gmail). Check out our launch video 👇\n\n<https://youtu.be/EAAMNXRYncY>\n\n**Key Features**\n\n* 🤖 Build **Agents** that connect with any of your tools\n* 🚀 **Deploy** your workflow as a chat or an API\n* 💡 Quickly iterate and optimize your agents **visually**\n\n**The Problem**\n\nAgent frameworks require learning and extensive boilerplate code, and existing visual interfaces abstract most of the customization required for complex agent workflows.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=90127&key=user_uploads/2320005/2d40df0f-fe2f-4c01-bbbb-1fa207339a81)\n\n**Sim Studio** is a lightweight, user-friendly platform to build, test, and deploy AI agents in minutes. You can design the entire agent architecture, with a variety of models (hosted and local via Ollama), tools with granular tool use control, and structured output.\n\nYou can trigger the workflows manually, deploy as an **API**, or **schedule** the workflows to run periodically. They can also be set to trigger on incoming **webhooks** (e.g., [Slack messages](https://docs.simstudio.ai/tools/slack)) and deployed as standalone chat instances.\n\n**Get an Agent Demo for Your Use Case**\n\n[**Request a call**](https://form.typeform.com/to/jqCO12pF) to watch us build an AI agent for your company in minutes.",
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        "created_at": "2025-05-06T16:07:35.068Z"
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        "full_name": "Pratham Hombal",
        "title": "Founder/CTO",
        "founder_bio": "Pratham is the CTO of Stratify. He studied Computer Science at Stanford, where he conducted high performance computing research and won top hackathon awards for building voice agents. \n\nIn the past, Pratham has been internationally recognized for his work in using ML for AI plagiarism detection, biological analysis, and cancer detection.",
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        "id": 90668,
        "title": "Stratify - The AI User Researcher",
        "tagline": "The AI-powered user research platform that discovers the why behind every customer decision, behavior, and preference.",
        "body": "Hey everyone! We’re [Siddhartha](https://www.linkedin.com/in/siddhartha-javvaji-23b81617a) and [Pratham](https://www.linkedin.com/in/prathamhombal/), co-founders of [Stratify](https://www.trystratify.com) and we’re saving companies millions by helping them understand their users better.\n\n# **TL;DR**\n\nFailing to understand _what_ your users truly want can kill a company. Stratify uses AI agentic workflows to instantly recruit participants, conduct dynamic user interviews, analyze responses, and provide actionable feedback. With simple queries like \"What do users think of our new checkout flow?\" or “Which prototype resonates most with users?”, Stratify delivers authentic customer feedback within a few hours.\n\n[Stratify Launch Video](https://youtu.be/j0Py7pKyuy4)\n\n---\n\n# **🤦‍♂️ The User Research Problem**\n\n**Here's the brutal truth**: 90% of product failures happen because teams don't truly understand their users. You can’t really blame them because traditional user research **is broken**:\n\n1. **💸 Focus groups are expensive:** $15K+ for 8 people in a room for 2 hours. Half of them drop out last minute, and you're left wondering if these insights represent your actual users.\n2. **📅 Manual interviews take weeks:** Booking user interviews feels like herding cats. Calendars stay empty for weeks while your launch deadline approaches. And big ideas _cannot_ wait.\n3. **📝 Surveys are unresponsive and impersonal:** Generic forms with dropdown menus can't capture the _why_ behind user behavior. You get some data, but absolutely no story.\n\n**The result?** Teams ship based on assumptions, not insights. Features flop. Users churn. Millions of dollars wasted.\n\n![uploaded image](/media/?type=post&id=90668&key=user_uploads/2549216/0e975083-d540-4aed-91ac-ea337164777b)\n\n---\n\n# **✨ Introducing Stratify**\n\nWhat if you could ask \"What do users think of our new product?\" and get answers from hundreds of real users in under a few hours? That's exactly what Stratify does.\n\n1. **🚀 Define your Research Questions:**\n\n   Simply describe what you want to learn about your product or upload product materials: _\"How do millennials feel about our pricing?\"_ Our vetted AI researcher transforms your query into a comprehensive study framework in seconds.\n2. **🎯 Smart Participant Matching:**\n\n   Set demographic and behavioral parameters or simply specify a query like \"U.S., Gen Z, Online Shopper, Foodie\". Our AI automatically finds the perfect participants from our network of millions of real users or directly within your own company’s customers.\n3. **🎥 Uncover Real Insights:**\n\n   Watch our AI agents conduct hundreds of interviews simultaneously, asking follow-up questions that dynamically adapt to each participant’s unique responses. Uncover the _why_ behind user behaviors that surveys and focus groups miss completely.\n4. **🧠 Instant Analysis:**\n\n   Transform hours of interview content into actionable intelligence instantly. Search conversations semantically, generate reports and slides presentations, or simply chat with your data to find exactly what you need to know.\n\n---\n\n---\n\n# **🎉 Our Ask**\n\n* **🚀 Building something new?** Try Stratify before your next feature launch, whether that’s your website, onboarding flow, product prototypes, etc. It could save you months of building the wrong thing—seriously.\n* **💬 Know any product managers, product designers, or founders?** They'd love this. User research is their biggest pain point.\n* **🙌 Support us** with a follow or share. Every bit helps us reach more teams who are tired of guessing what users want.\n\n---\n\n# **👥 The Team**\n\n[**Siddhartha**](https://www.linkedin.com/in/siddhartha-javvaji-23b81617a) (CEO) and [**Pratham**](https://www.linkedin.com/in/prathamhombal) (CTO) have studied computer science at Stanford, where they’ve conducted AI and high performance compute research at renowned labs. They met in their freshman dorm at Stanford and have been roommates and building together since.\n\nThey’ve been in your shoes. They’ve launched features that flopped, ignored user feedback until it was too late, and learned the hard way that assumptions kill products. Now they’re making sure no other team has to learn it the hard way.\n\n---\n\n---\n\n---\n\n---\n\n**_Users have opinions. Are you listening?_**\n\n* **Try Stratify:** [https://www.trystratify.com](https://www.trystratify.com/%5C)\n* **Questions?:** [sid@trystratify.com](mailto:sid@trystratify.com) & [pratham@trystratify.com](mailto:pratham@trystratify.com)\n\n ",
        "url": "https://www.ycombinator.com/launches/NaO-stratify-the-ai-user-researcher",
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        "created_at": "2025-05-22T22:15:46.972Z"
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    "website": "https://percy.tech",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Building an AI copilot for researchers to analyze and transform real-world data.",
    "one_liner": "Accelerating data analysis for research",
    "team_size": 3,
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    "team_size": 2,
    "industry": "B2B",
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        "full_name": "Prateek Pinisetti",
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        "tagline": "Grocery stores just got smarter—say hello to our AI manager.",
        "body": "Prateek and I are building a new full-stack manager for grocery stores. Growing up, in the summers I worked at my family's grocery store, and saw first hand the challenges my father went through on a day to day basis. My family's store was started over 100 years ago, and with this industry experience, Prateek and I are able to offer new insights.\\\n[Overview](https://youtu.be/VEAZGZZ4_RU) \n\n\\\n**The Problem: Operating an independent grocery store means surviving on razor-thin margins.**\n\n* 3 % of sales vanish due to shrinkage.\n* Out of stocks wipe out 4% more in lost sales\n* Slip-and-fall hazards lead to liability risks.\n* These slim margins prevent grocers from hiring back office staff.\n\n**What We Built-**\n\n* 24/7 Theft Detection – Real-time alerts when someone crosses the “no-go” zones behind registers or swipes merchandise.\n* Safety Monitoring – Automatic slip-and-fall hazard spotting so you can fix risks before they become claims.\n* Shelf & Stock Insights – Instant out-of-stock notifications to keep product levels optimized.\n* Pricing Research - Soon we will introduce an agentic workflow to manage one of grocers' most tedious tasks, looking up competitors prices.\n\n**Our Team-**\n\n* Nic Sleeper, CEO – Former SWE at PredictionStrike.\n* Prateek Pinisetti, CTO – Ex-Optiver SWE and chess National Master; real-time systems expert.\n* We met as Harvard roommates, did psets together in our dorm, and have been collaborating ever since.\n\n\\*\\*The Vision-\\*\\*\\\nWe chose to work in this space to help local grocers thrive in the AI age and be on the forefront of innovation. Our cameras are just the first step- by combining POS, ordering, and camera data, we can automate every back-office process in the store, allowing them to achieve their optimal margins.\\\n\\*\\*Our Ask-\\*\\*\\\nIf you know any grocery or retail store owners who’d love a tireless 24/7 assistant to cut shrink, boost safety, and maximize sales, please loop us in!",
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        "created_at": "2025-05-22T14:43:07.181Z"
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        "full_name": "Lev Kokotov",
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        "founder_bio": "Second time technical founder, sharded Postgres at Instacart in 2020 during peak growth. Previously built PostgresML (AI + PostgreSQL = 🚀).",
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        "id": 78009,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/pgdog/jobs/uWymUYy-founding-software-engineer",
        "location": "San Francisco, CA, US / CA, US / OR, US / Remote (San Francisco, CA, US; CA, US; OR, US)",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $225K",
        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
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        "id": 90596,
        "title": "PgDog: Scaling PostgreSQL",
        "tagline": "Proxy for scaling Postgres without app changes or database extensions.",
        "body": "Hey YC,\n\nI’m Lev and I invented time travel… for your database.\n\n“Huh?”\n\n**TLDR:** PgDog is a proxy for scaling PostgreSQL. It can load balance traffic and shard databases, without changes to app code or using database extensions. What does this have to do with time travel? Keep reading.\n\nhttps://www.youtube.com/watch?v=trSVJel3gyc\n\n# ❌ The Problem\n\nScaling Postgres is a full time job. Your app is writing data but the database can’t keep up. You’re adding more databases and thinking of breaking the app into services to spread the load.\n\nPgDog is for you if:\n\n* You had an outage caused by a bad query\n* Your database is unpredictable; app latency and uptime are all over the place\n* You know more about Postgres internals (like vacuum) than you’d like, and you just want it to work so you can go back to building your product\n\nAnd you catch yourself day dreaming about the good old days, when you were pre-PMF and your DB was at 10% CPU.\n\n# 👷 The Solution\n\nDatabase problems should be solved at the database layer. PgDog is a load balancer, connection pooler, bouncer, and sharder. It speaks fluent SQL and understands every single Postgres query. It uses this knowledge to:\n\n* Distribute queries between shards, horizontally scaling your relational database\n* Load balance traffic between replicas\n* Block or rewrite queries you don’t like, e.g. queries that forgot an index or are missing the customer_id and were about to leak data\n\nWith PgDog, your DB is young again and ready to grow 10x. Written in Rust, for security and performance, PgDog is fully tested and ready for production.\n\n# 🙏 The Ask\n\nIf any of this sounds familiar, **get in touch!** I’m happy to come work for you to fix your DB. I’ll stay in the basement and make PgDog scale Postgres, while you work on your startup.\n\nYou’re my ideal design partner if:\n\n* Postgres is your production database (naturally)\n* Despite your troubles, you love it and want to do more with it\n* You believe in first principles solutions to hard problems\n\n![uploaded image](/media/?type=post&id=90596&key=user_uploads/989617/91f087f7-4175-47fe-9753-57ed4e9bda62)\n\nEmail [lev@pgdog.dev](mailto:lev@pgdog.dev), join our [Discord](https://discord.gg/CcBZkjSJdd), and give us a star on [GitHub](https://github.com/pgdogdev/pgdog). Everything we build is open source.\n\n# 👬 The Team\n\nI’m a second time technical founder (previously co-founded [PostgresML](https://github.com/postgresml/postgresml)) and started the Instacart storage infra team. I scaled 100TB+ databases when Instacart grew 5x in 3 months. This is my second pet-inspired project for scaling Postgres (have you heard of [pgcat](https://github.com/postgresml/pgcat)?)\n\n![uploaded image](/media/?type=post&id=90596&key=user_uploads/989617/86ff8181-b991-4bf9-bd05-8b0a387ed978)\n\n",
        "url": "https://www.ycombinator.com/launches/NZE-pgdog-scaling-postgresql",
        "votes": 40,
        "created_at": "2025-05-21T17:22:59.749Z"
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    "id": 30449,
    "name": "Attune",
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    "website": "https://attunehq.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Attune makes blazingly fast build tools that require zero migration effort.\r\n\r\nAs AI enables developers to write code faster than ever, slow builds are increasingly becoming the bottleneck in development velocity. Developers regularly lose hours of productivity every day waiting for their builds. Imagine being able to write code in 1 minute, but needing to wait 30 minutes to compile, deploy, and test it.\r\n\r\nExisting solutions either require painful migrations to new tools (e.g. Bazel) or rely on just using bigger servers to run your builds. Instead, we do native, first-class integrations into compilers and build systems.\r\n\r\nWith Attune, you don't need to integrate a new tool. Just make a one-line change from `cargo build` to `hurry cargo build` for 20x faster builds.\r\n\r\nEliza (ex-Google) and Xin worked together for 3 years at FOSSA, where Eliza was Head of Engineering and Xin was Head of Product. Eliza brings a decade of programming languages and build systems expertise, while Xin brings a decade of experience building developer tools products, most recently as VP of Product at Teleport (S15). Having experienced the pain of slow builds firsthand across hundreds of production codebases, we're building the solution we've always wanted.",
    "one_liner": "Faster builds, zero effort.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1747089464,
    "tags": [
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      "Infrastructure"
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    "batch": "Spring 2025",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/attune",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/attunehq",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 429685,
        "full_name": "Xin Ding",
        "title": "Founder/CEO",
        "founder_bio": "Xin is the cofounder and CEO of Attune.\n\nBefore Attune, Xin was the VP of Product at Teleport (S15), where he built the product and design teams. He helped scale the company to unicorn status and its new SaaS offering from 0 to 8-figures in ARR. Prior to that, he joined FOSSA at seed stage and scaled it from 0 to 8-figures in ARR. Xin has a proven track record of leading early-stage developer tools startups through hypergrowth phases by building products developers actually want to use.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/xinding3/",
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        "id": 78125,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/attune/jobs/ZWLdtj8-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.00%",
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      {
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        "title": "Attune - Faster Builds, Zero Effort",
        "tagline": "Attune makes blazingly fast build tools that require zero migration effort.",
        "body": "Hey everyone, we’re Eliza and Xin, cofounders of Attune.\n\n# ⚡️ TL;DR\n\nAttune makes blazingly fast build tools that require zero migration effort. Built by developers with a decade of experience in build systems and developer tools.\n\nIf you or someone you know is suffering from slow builds, we’d love to help! \n\nContact us at [founders@attunehq.com](mailto:founders@attunehq.com).\n\n![uploaded image](/media/?type=post&id=90363&key=user_uploads/429685/31b348ca-dc4a-4649-8886-fc28ed78e37a)\n\n# ❌ The Problem\n\nAs AI enables developers to write code faster than ever, slow builds are increasingly becoming the bottleneck in development velocity. Developers regularly lose hours of productivity every day waiting for their builds. Imagine being able to write code in 1 minute, but needing to wait 30 minutes to compile, deploy, and test it.\n\nExisting solutions either require painful migrations to new tools (e.g. Bazel) or rely on just using bigger servers to run your builds.\n\n# ✅ Our Solution\n\nWe’re building drop-in replacements for existing build tools that dramatically speed up build times with zero migration effort. Simply prefix your existing build commands with hurry and get faster builds through incremental builds, remote execution, distributed caching, and a whole suite of other language-native and compiler-native optimizations.\n\nhttps://www.youtube.com/watch?v=DxM5Dj6ikVc\n\nFor example, instead of running cargo build, now you can run hurry cargo build for up to 20x faster builds.\n\nThat's it. No migration headaches, no complex configuration, and no learning a new tool and rewriting your build files.\n\nNow available for Rust, with Docker and additional language support launching soon.\n\n# 👷‍♀️👷‍♂️Our Team\n\nEliza (ex-Google) and Xin worked together for 3 years at FOSSA helping customers analyze and secure their build systems. Eliza was Head of Engineering and Xin was Head of Product. Eliza brings a decade of programming languages and build systems expertise, while Xin brings a decade of experience building developer tools products, most recently as VP of Product at Teleport (S15). We’ve seen the pain of slow builds firsthand across hundreds of production codebases, we're building the solution we've always wanted.\n\n# 🙏 Our Ask\n\nTired of waiting on builds? We'd love to show you how much time Attune can save your team.\n\nReach out to us at [founders@attunehq.com](mailto:founders@attunehq.com).",
        "url": "https://www.ycombinator.com/launches/NVT-attune-faster-builds-zero-effort",
        "votes": 49,
        "created_at": "2025-05-13T17:46:08.929Z"
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    "id": 30450,
    "name": "Kestral",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kestral makes it clear what your customers want most, prioritizes those tasks for highest leverage, and closes the loop with those customers.\r\n\r\nWe (Brian and Bernard) have been close friends since university, and most recently worked together at Asana, leading AI and Authorization efforts. There we realized AI can completely disrupt the $50B Work Management Market, but it required a fresh start.\r\n\r\nWhat work we even choose to manage in the first place is critical, and the most important insights from customers are silo-ed in sales/CS while R&D gives their best shot at roadmaps meant to deliver impact. Significant requests sit in a backlog, duplicate asks flood the system, months wasted on \"strategic investments\". We want to bridge this gap.\r\n\r\nThis message is resonating with heads of sales, heads of product, CEOs, as well as individuals, all trying to make sure the most important things get done, with less wasted effort and more revenue/retention.\r\n\r\nKestral works by automatically take in customer data like sales call transcripts & feature request messages and a team of agents:\r\n1. analyze them for actionable takeaways, deal blockers, and nice to haves\r\n2. consolidate them and manage all the asks with citations\r\n3. prioritize them by impact and frequency to cut through the noise so you can see the biggest opportunities clearly\r\n4. connect them to your existing strategic roadmap so when the work gets done, we can automatically follow back up with your customers and win them over\r\n\r\nThis is just step one of our mission to revolutionize how work gets done -- starting with what we choose to work on, and hope you follow us along for the ride!",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1746827982,
    "tags": [
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kestral-team/",
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      "name": "Andrew Miklas",
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        "user_id": 12690,
        "full_name": "Brian Kim",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO - Building Kestral - the future of work in the AI era\n\nAfter studying Computer Engineering at USC, I was an early engineer at GoFundMe, started my own company in corporate sustainability, and most recently led AI Workflow initiatives at Asana.\n\nLet's talk about human/AI collaboration, for-profit for-good business models, and endurance sports (USA Nationals qualifying triathlete).\n\nAlso rap in a band and like dancing at parties/weddings.",
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        "linkedin_url": "https://www.linkedin.com/in/brian-y-kim-16b7aa63/",
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      {
        "id": 90532,
        "title": "Kestral - Your AI Work Prioritizer",
        "tagline": "Helping companies win more customers, faster.",
        "body": "Hey YC, we’re [Brian](https://www.linkedin.com/in/brian-y-kim-16b7aa63/) and [Bernard](https://www.linkedin.com/in/xiebernard), and we’re building [Kestral](https://kestral.team/), your AI Work Prioritizer!\n\n**TLDR;** We make it clear what matters most to your customers and your business to guarantee your work has impact. (how? gotta read more)\n\nhttps://youtu.be/R8Q5qOWRv2I\n\n# **❌ The Problem** 😟\n\nCompanies spend too much money on Sales and R&D teams just for them to 🥤**suck🥤** at communicating with each other and this costs millions of dollars in blocked deals, churned customers, and time wasted on irrelevant roadmaps.\n\nThere’s gold in customer data in all its forms, yet even the most revered companies we talked to commonly lose sight of blockers and spend hours updating spreadsheets of feature requests.\n\n![uploaded image](/media/?type=post&id=90532&key=user_uploads/12690/c0a42d49-4b96-4711-b33e-50ebfa2b1d41)\n\n📣 “We have deep anxiety if we’re deploying our product teams appropriately…” - C-Suite @ a Public Company\\\n📣 “All my calls… in Gong. Feature requests … in Notion. We’ve got Salesforce. Why, in 2025, am I still grepping around for feature requests like a caveman?” - Head of Sales @ a Series B Startup\\\n📣 “… we’re tracking feature requests on spreadsheets” - GTM @ a Major LLM Provider\n\nCompanies KNOW they should do better… but without the right tools, they are:\n\n* Getting outmaneuvered by competitors by failing to adapt to customer trends as they come up\n* Wasting hours manually tracking and escalating tasks that end up sitting in a backlog\n* Worrying if users will care about their “strategic investments”.\n\n# 💭 📖 **The Solution**\n\n![uploaded image](/media/?type=post&id=90532&key=user_uploads/12690/7fd4ffb6-0954-4fb8-b661-3063088bae79)\n\nWe instantly bridge this divide between customer-facing roles and product development by:\n\n1\\. Extracting ALL actionable tasks from a variety of sources (transcripts, Slack/Discord messages, GitHub issues…)\n\n2\\. Consolidating duplicate asks and prioritizing them by theme\n\n3\\. (optionally syncing to project management platforms like Linear/Notion until we displace them…)\n\n4\\. Closing the loop with them, so you go from feature launch to immediate customer engagement & guaranteed impact\n\n**We’re building teams of AI agents that:**\n\n🤖 - understand the context of roles, projects, companies, and customers\n\n🤖 - rank work on various heuristics like opportunity size, effort, and team goals\n\n🤖 - make direct connections between customer asks and R&D’s work\n\n🤖 - personally follow up with users or revitalize the pipeline to guarantee a positive business impact of work\n\nOur technology can also easily transition to save orgs countless hours by eliminating work about work, like updating the state of tasks from meeting transcripts/messages and giving status updates while reprioritizing.\n\n# 🤜💥🤛 **The Team**\n\n![uploaded image](/media/?type=post&id=90532&key=user_uploads/12690/f58ce5b7-6361-4c95-9035-6fd470b271d3)\n\n(pre-YC vacation together in Jeju)\n\nWe’re close friends since college and multiple-time founding members of prior startups. We recently crossed paths at Asana, where Brian was an AI Tech Lead, while Bernie led Enterprise Authorization projects.\n\nWe’re leveraging our experience to combine the cutting edge of memory and knowledge base management with AI Agent Permissions for Enterprise to build the future of work.\n\nWe fully understand that work management structures are crucial to providing the necessary context for AI to deliver real enterprise value, and we’re not scared of any existing players in this space.\n\n# 💡 The Opportunity\n\nOur mandate is to disrupt the work management industry that has a **$50B TAM**, but we’re starting first by truly understanding and prioritizing what a company works on. As agents get better and commoditized, we aim to be best positioned to help companies get the work done faster.\n\nThe existing tools in this space can charge 5-6 figures a year for speculative and limited insights from customers at best, and they don’t even make the connection to R&D’s real work. We can instantly help validate/derisk costly roadmap plans, as well as help companies adapt to their customers’ needs immediately, providing millions in value.\n\nWe’re also personally seeing some very large investments (millions) in hiring teams to build internal systems to try to connect impact to work that is still manual at heart. Our partner said that if you’re seeing someone build something painful just for themselves… you’re on to something.\n\n### 🟠 CALLING THE YC COMMUNITY 🧡\n\nWe’d love to meet more of you!\\\n🗣️ In a CRO, Sales, GTM, or Customer Success role, and want your requests prioritized? \\\n🗣️ Product Leader wanting to validate your strategy and get measurable results?\\\n🗣️ Building the latest in AI knowledge bases and memory?\n\nLet’s talk!\\\n\\\nWould appreciate any **warm intros** to the above as well! We’re looking for partners to grow _with us_ to become the most efficient, most _actually_ customer-centric companies in the world.\\\n\\\nHit us up at [founders@kestral.team](mailto:founders@kestral.team) or book a demo call, even if you’re just a little curious at https://kestral.team\n\n![uploaded image](/media/?type=post&id=90532&key=user_uploads/12690/a70b5c3b-593a-4a99-87a0-e8eb5e72e44e)\n\n",
        "url": "https://www.ycombinator.com/launches/NYC-kestral-your-ai-work-prioritizer",
        "votes": 135,
        "created_at": "2025-05-19T21:22:45.449Z"
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    "id": 30451,
    "name": "Bluejay",
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    "website": "https://getbluejay.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bluejay’s mission is to engineer trust into every AI interaction, becoming the trust layer between businesses and their customers.",
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    "team_size": 10,
    "industry": "B2B",
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    "url": "https://www.ycombinator.com/companies/bluejay",
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        "full_name": "Rohan Vasishth",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ Bluejay, building the only quality assurance platform for AI agents. Prev. at AWS Bedrock. CS + Econ @ UChicago. Goal: 40 followers on Bookface.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rohanvas/",
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        "full_name": "Faraz Siddiqi",
        "title": "Founder/CTO",
        "founder_bio": "Founder/CTO @ Bluejay, building the first quality assurance agency for voice AI.\nEx-MSFT Copilot, Masters CS @ UIUC.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/farazmsiddiqi",
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        "title": "Software Engineer Intern",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/jaE0uqb-software-engineer-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
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      {
        "id": 90945,
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        "url": "https://www.ycombinator.com/companies/bluejay/jobs/7lJoSCc-senior-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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      {
        "id": 97632,
        "title": "Founding SDR",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/GwwNBgE-founding-sdr",
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        "id": 97633,
        "title": "Growth & Marketing Lead",
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        "type": "Full-time",
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        "id": 90520,
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        "body": "**TL;DR:** Bluejay **learns** about your agent, **mimics** your customers, and **simulates** every customer interaction **_BEFORE_** you release your product. With Bluejay, **simulate 1 month of customer interaction in 5 minutes.**\n\nIf you are building a voice agent, let us[ run a sanity check](https://cal.com/rohanv) for you.\n\n**Mission:** enable developers to trust their AI voice agents.\n\n**Problem:** We were **sick and tired** of manually call-testing our voice agent 50 times before every release. Turns out, **so was everyone else** building voice agents. \n\n**Solution:** So, we built a platform that **does 100x the testing we could ever do, in minutes.** From there: fix the bug laundry list, re-run Bluejay’s test suite, and push to prod[.](https://youtu.be/bpWu_0TWIP4)\n\n**Think about it:** SaaS has robust, feature-rich E2E testing platforms, CI/CD, and regression testing. _Why don’t AI voice agents have the same?_\n\nFor us, building Bluejay wasn’t a “let’s see if this works” idea. \n\nIt was a no-brainer. \n\n**Key Features:**\n\n* **Mimic: Hyper-realistic Customer Simulations:** Generate a custom workforce of **digital humans** to test every conversational turn of your voice agent. Our digital humans speak/have varied languages, accents, background noise, tone, delivery, emotion, and vocal punctuation. They’re better at being customers than your real customers…\n* **Skywatch: Production Observability:** Another no brainer. Why stop at testing your agents pre-production? We tell you what went wrong with production calls, and how to fix it.\n* **Research-backed Evaluation:** Bluejay learns about your agent’s goals, and tells you how close it got to achieving them. And of course, the standard stuff: latency, redundancy, hallucination, tool calls, interruptions, sentiment… anything worth knowing, really.\n\nVoice agents **_need_** automated, scalable testing. And we won’t stop at voice. \n\n**The Team:**\n\n[Rohan](https://www.linkedin.com/in/rohanvas/) is ex-AWS Bedrock, and went to UChicago studying CS + Econ. He built a profitable SaaS company in college.\n\n[Faraz](https://www.linkedin.com/in/farazmsiddiqi/) is ex-Microsoft Copilot, and did his undergrad/masters in CS at UIUC, where he researched high quality synthetic data generation and context compression for LLMs.\n\n**Do us a solid:**\n\nIf you are building voice agents, give us a shot:[ ](https://getbluejay.ai/)[https://getbluejay.ai](https://getbluejay.ai%5B.%5D\\(https://getbluejay.ai/\\))[.](https://getbluejay.ai/)\n\nOr, book a call here:[ https://cal.com/rohanv.](https://cal.com/rohanv)\n\n![uploaded image](/media/?type=post&id=90520&key=user_uploads/1376037/a4ba8c15-48ca-4c91-aa17-0a3754baf70f)\n\n",
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        "body": "Hey! 👋 We’re building Better Auth - a comprehensive, framework-agnostic authentication framework for TypeScript. It lets you roll your own auth directly on your backend and database, without relying on 3rd party services. From basic sign-ins to complex enterprise systems all with great DX.\n\nhttps://www.youtube.com/watch?v=j_HjHmprVOs\n\nAuth has been a pain point for many developers in the TypeScript ecosystem for a while. Other open-source libraries require a lot of additional code for anything beyond basic authentication. So, we set out to build a comprehensive auth library - framework-agnostic, with a robust set of features out of the box, a plugin ecosystem for everything else you might need, and great documentation.\n\n![uploaded image](/media/?type=post&id=90320&key=user_uploads/1184116/dec3dc74-8395-4d83-b062-c2f3271b8164)\n\nSince launching v1 just 5 months ago:\n\n* **13K+ GitHub stars** and **350K+ monthly npm downloads**\n* We've grown into one of the **most influential** and **well-loved** open source projects in the TypeScript ecosystem.\n* Used in production by great teams including YC companies and major OSS projects including [folo](https://github.com/RSSNext/Folo), [same](https://same.new/), [dokploy](https://github.com/Dokploy/dokploy), [zero](https://github.com/Mail-0/Zero), [onejs](https://github.com/onejs/one) and many more.\n* We’re the recommended auth library by **Next.js, Nuxt, Astro**, and other top JS frameworks.\n* A thriving community with **5K+ members on Discord,** **7K+ followers on X**, and a growing ecosystem of adjacent libraries built by community members.\n* Featured by creators like Theo, Dev Ed and more\n\nTo take it further, and after seeing the pain points of our current users, we're building an **infrastructure layer** on top of the framework to extend the library with functionality we can't offer through the framework alone:\n\n* A comprehensive admin dashboard with user management & analytics\n* Bot/fraud/abuse detection\n* Global session storage\n* and more…\n\nTo be clear – we’re not building a third-party auth service. Our goal is to make rolling your own auth so ridiculously easy that you’ll never need one.\n\nGet started with the library here: [better-auth.com/docs/installation](http://better-auth.com/docs/installation)\n\nJoin the waitlist for infra: http://better-auth.build/\n\nStar the repo: https://github.com/better-auth/better-auth",
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      "name": "Nicolas Dessaigne",
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        "full_name": "Max Hofer",
        "title": "Founder/CEO",
        "founder_bio": "On a mission to end data monkey work. \nFormer Bain consultant with deep expertise in enterprise data workflows and a PhD in applied ML.",
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        "full_name": "Greg Csegzi",
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        "founder_bio": "Bridging reliability for AI driven extractions.\nEx-Palantir, experience in life sciences, insurance, manufacturing",
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        "id": 101959,
        "title": "Parsewise - API for agentic multi-document processing",
        "tagline": "Give your apps full value provenance for reasoning across documents!",
        "body": "Hello from Greg, Max and the Parsewise team! 👋\n\n# **TL;DR**\n\n[Parsewise](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch) turns multiple documents into a single structured response. Cross-document entity linking, contradiction detection, bounding boxes and UI toolkit to show it all included.\n\n[See it live!](https://www.youtube.com/watch?v=F1cSuZal03s)\n\n**The Problem**\n\nToday, you have to build and maintain complex document processing pipelines with changing business rules. You parse, classify, and rely on structured responses from LLMs or IDP tools (e.g., Reducto) to get individual extraction results that you piece together with other bits of information. There’s no reliable way to catch when information contradicts itself, which is risky. Finally, you build a custom verification UI for your operations team to deal with LLM mistakes.\n\n**The Solution**\n\nWe provide an API to abstract all that away into a single call. You provide multiple documents and the desired output to get back a response with resolved values, flagged contradictions, and full traceability across documents / pages that you can display in your own app.\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/a837442e-b7af-4113-acfd-699fc5074dff)\n\n**Get Started**\n\n=======================================================\n\n  Sign up with free credits: [https://www.parsewise.ai/get-started](https://www.parsewise.ai/get-started?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\\\n  (use the [Agents.md](https://api.parsewise.ai/AGENTS.md) for a 1m integration)\n\n=======================================================\n\n**Story Time**\n\nWhy are we working on this, how we got to where we are, who we are working with, and where we are headed.\n\nGreg was at Palantir trying to make sense of various Japanese insurance documents and realizing that any processing pipeline built around it was highly custom, time-consuming, and brittle. Max was on the human operator side at Bain &amp; Co, realizing that the technology was being held back due to a trust problem.\n\nWe realized that there is this powerful new capability for general reasoning (and thus processing). Models are getting extremely good at interpreting complex documents (shout-out to the Gemini model family) and perform better than most OCR-type solutions on the market.\n\nSo we set out to build the layer that comes on top:\\\n1\\. Provide mapping from user intent to a dynamic ontology\\\n2\\. Use the now-abundant intelligence to reason across documents to get to the right results\\\n3\\. Provide the provenance trace and validation UX that is required in many use cases\n\nWe are working with leading customers, both small and large, like UBS, Compre Group, Thinksurance, and more. They rely on Parsewise to streamline submission intake, claim portfolio risk assessment, etc., for both API based integrations and operational workflows.\n\nWith this launch, we are inviting developers to build more reliable and delightful workflows around their unstructured data processing. As we scale, we are excited to be helping with the end-to-end integration and deterministically filling forms, mapping to 3rd party APIs and web portals.\n\n\\\nSee more at [https://www.parsewise.ai/api](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/97f9bee1-d6f5-42ee-ab1f-14f178b5b826)\n\n",
        "url": "https://www.ycombinator.com/launches/QWV-parsewise-api-for-agentic-multi-document-processing",
        "votes": 6,
        "created_at": "2026-05-26T14:44:21.064Z"
      },
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        "title": "Parsewise: Extract Validated Data from Complex Documents 🔬",
        "tagline": "Turn complex documents into validated information that business users can trust.",
        "body": "Hi everyone, we’re [Max](https://www.linkedin.com/in/mwhofer/) and [Greg](https://www.linkedin.com/in/gergely-csegzi/), and we’re building [Parsewise](https://parsewise.ai/) 👋\n\n👉🏻 Watch the video: https://youtu.be/ZFNH0M6Q3fw\n\n**❌ The Problem**\n\nBusiness experts waste hours each week on **manual, repetitive data tasks**. Extracting and validating information from complex documents is slow and error-prone. As a result, analytics, benchmarking, and reporting **processes are brittle and expensive**.\n\n**Current AI solutions** like ChatGPT are black boxes that generate **unreliable outputs**. Intelligent document processing tools require technical expertise, resulting in limited productivity gains.\n\n**The data monkey era is over!** We believe that business experts have struggled with complex documents long enough. We 10x their productivity while improving the quality of their outputs.\n\n**✅ The Parsewise Solution**\n\nParsewise extracts trusted information from complex documents, supported by these core features:\n\n* **End-to-end Traceability**: We trace every single output (text, number, date, etc.) to its exact source and highlight it with bounding boxes. _No more black boxes._\n* **Granular Human Control**: Business experts directly review and modify data extraction logic and consistency check strategies. _No more re-prompting._\n* **Exhaustive Processing**: Our agents exhaustively parse data, proactively flagging issues. _No more second-guessing._\n\n👉🏻 Parsewise is easy to use: https://youtu.be/69kEn5cYbvA\n\n**💬 What Our Users Are Saying**\n\n_“We have cut the analysis process from weeks to days, and most importantly, we have more confidence in the results than before.”_\n\n* Head of Family Office\n\n_“The processing took a while, but the results are perfect. We ran the same test with Snowflake’s Document AI, and it was frankly disappointing.”_\n\n* Lead Data Analyst at a Large Asset Manager\n\nWe have helped **cut week-long processes relying on parsing complex documents into hours**.\n\n**🤝 The Team**\n\nWe met studying CS at Oxford University in 2017.\n\n**Max (CEO)**: Ran his first business at 12, founded a data science consultancy next to his PhD, and conducted &gt;20 PE due diligence projects at Bain. BSc, MSc, and PhD in CS and Econ.\n\n**Greg (CTO)**: Built the earliest production AI use cases at Palantir, with top project conversion, working in life sciences and insurance, having been deployed to 6 countries. Ask me about parsing manga-style insurance documents 😉\n\n**🚀 Call to Action: Free a Data Monkey**\n\nWe’re **live with pilot customers**, looking to **free more human data monkeys** of their lousy work!\n\nThe most relevant industries and teams are:\n\n* Industries: Investment management, reinsurance, life sciences\n* Teams: Risk & compliance, analytics, data & AI engineers\n\nContact us at [founders@parsewise.ai](mailto:founders@parsewise.ai) for more information and a demo.",
        "url": "https://www.ycombinator.com/launches/NW4-parsewise-extract-validated-data-from-complex-documents",
        "votes": 81,
        "created_at": "2025-05-14T17:25:55.072Z"
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    "id": 30454,
    "name": "Refresh",
    "slug": "refresh",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Building RL environments for coding and computer use. ",
    "one_liner": "Training gyms for computer use and software engineering work",
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1745867856,
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        "full_name": "Christopher Settles",
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        "founder_bio": "Co-founder and CEO @ Refresh | ex-ML @ Uber, CS @ UIUC.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christopher-settles/",
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        "full_name": "Erik Quintanilla",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO @ Refresh | ex- @Amazon @CapitalOne \n\nPrevious focus has been in vision data, voice data, tabular data in the form of data pipelines. Web scale scraping previously. ",
        "is_active": true,
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      {
        "id": 90828,
        "title": "Refresh - RL Training Gyms",
        "tagline": "High fidelity, realistic environments to train computer use and software engineering capabilities into LLMs",
        "body": "Software engineering capabilities in the frontier llms have already emerged. Across SWE-Bench, Terminal-Bench, OS-World, model capabilities are rising amongst us.\n\nScaling pre-training has worked to allow the models to learn fundamental concepts, but the last edge of performance differences come from agents learning specialized tools very well in training gyms - be it bash, file editing, or computer using capabilities.\n\nSome fun things we’re working on…\n\nWe’ve archived the web to generate the next frontier of Computer Use environments with tasks that elicit failure modes across the frontier models.\n\nWe’re also pioneering mechanistic interpretability methods to deterministically elicit the failure modes in coding capabilities of the open source models. \\\n\\\nOur team is ex-Uber ML and ex-Amazon scraping, and previously turned down offers from Scale AI to start Refresh. \\\n\\\nWe’re actively working with frontier labs to provide the highest quality simulation environments to train computer use and software engineering capabilities. If you’re training frontier intelligence, we’d love to talk! \\\n\\\nGet in touch at [founders@refresh.dev](mailto:founders@refresh.dev) :)",
        "url": "https://www.ycombinator.com/launches/Ncy-refresh-rl-training-gyms",
        "votes": 111,
        "created_at": "2025-05-28T19:49:51.128Z"
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    "id": 30455,
    "name": "Paper Instruments",
    "slug": "paper-instruments",
    "former_names": [
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Paper Instruments post-trains LLMs to accelerate knowledge work.",
    "one_liner": "Open-source frontier models for knowledge work",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747787326,
    "tags": [
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    "year_founded": 2025,
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        "user_id": 2567589,
        "full_name": "Daanish Khazi",
        "title": "Founder/CEO",
        "founder_bio": "Building Paper Instruments ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daanishkhazi/",
        "x_url": "https://x.com/bertgodel",
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        "full_name": "Gavin Bains",
        "title": "Founder",
        "founder_bio": "Building Paper Instruments",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/thegavinbains",
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        "full_name": "Joseph Besgen",
        "title": "Founder",
        "founder_bio": "Building Paper Instruments",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jpbesgen/",
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      {
        "id": 90688,
        "title": "The LLM Data Company - Workspace for Evals",
        "tagline": "Write, version and execute evals and RL rewards",
        "body": "[**The LLM Data Company**](https://www.thellmdatacompany.com/) creates tooling to write, version and execute evals for models and agents. We help you measure performance and define rewards for reinforcement learning.\n\n[https://www.youtube.com/watch?v=56LpwoPxqjc](https://www.youtube.com/watch?v=56LpwoPxqjc%5C)\n\nEvaluating model performance is an opaque art and vanilla LLM judges do not provide the necessary signal to measure output quality. Additionally, modern GRPO-style RL techniques offer rapid, generalizable improvements to model performance, but they require well-specified eval datasets to be used as rewards. We help you quickly specify high signal evals across a variety of unstructured tasks with aligned graders, fine-grained rubrics and fast iteration.\\\n\\\nOur eval workspace – [**doteval**](https://www.doteval.com/) – offers a Cursor-like experience to edit evals-as-code against our .yaml schema. Version evals across checkpoints, replace manual effort with AI-generated diffs, and compare eval runs on tight-execution loops to align them with your IP. This way, you can confidently determine whether you should upgrade to Claude 4 or stay on Gemini 2.5 Pro, or whether this new 12,000 word prompt actually creates net improvement over that 8,000 word prompt. You can also one-click export the spec to be used as the training set for RL and post-train your own model.\n\n![uploaded image](/media/?type=post&id=90688&key=user_uploads/2567589/e6c9c568-81ef-4057-bdff-4ad49982f76c)\n\n\\\nToday, we work with frontier AI teams to benchmark performance for complex model tasks. If you are interested in early access to doteval, need help creating an evaluation dataset, or are trying out GRPO or RFT and want something to quickly train against, please reach out at:\\\n[**founders@thellmdatacompany.com**](mailto:founders@thellmdatacompany.com)",
        "url": "https://www.ycombinator.com/launches/Nai-the-llm-data-company-workspace-for-evals",
        "votes": 105,
        "created_at": "2025-05-23T18:42:39.878Z"
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    "id": 30456,
    "name": "Tinfoil",
    "slug": "tinfoil",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tinfoil makes it easy to make your AI workloads secure and provably private. You get the privacy of on-prem deployments, while running on the cloud. It's like end-to-end encrypted messaging but for your AI applications. \r\n\r\nWe’ve built a full-stack platform on top of the latest NVIDIA GPUs offering confidential computing capabilities, meaning that you don’t have to trade off performance for privacy. We integrate a suite of recent advances in secure hardware technologies, in particular NVIDIA’s confidential compute mode available on Hopper and Blackwell. When combined with Tinfoil’s software stack, companies can prove their security claims like \"we can't see and don’t log your queries.” Tinfoil guarantees that all data always stays private and cannot be accessed by anyone other than the end user -- not even by Tinfoil or the cloud provider it’s processed on. Everything can be made end-to-end encrypted and private with Tinfoil. \r\n\r\nThe founding team combines deep academic and industry experience in security and Internet protocols. Tanya was previously a systems engineer at Cloudflare, where she built Internet security protocols used by billions, and contributed to the Workers AI platform. Jules and Sacha hold PhDs from MIT, where they worked on secure hardware, cryptography, and privacy technologies. Jules has also worked at NVIDIA on their confidential computing team. Tinfoil was born from our personal frustration with the false choice between access to powerful AI and the massive data privacy implications of deeply integrated AI.\r\n\r\nAI is a universal tool that becomes part of our personal lives and business workflows. In the process, it needs access to all personal, private, and proprietary data. Right now, the only solutions are data processing agreements (i.e., \"pinky promises\"), band-aids like PII redaction that don't work in practice, or AI locally/on-prem, which doesn't scale. Tinfoil promises to unlock significantly deeper AI adoption and integrations by making it easy to obtain true privacy, just as TLS on the Internet enabled e-commerce to flourish by securing credit cards on the network.\r\n\r\nToday we offer several self-serve products: \r\n\r\n- A consumer-facing chatbot that keeps your chats end-to-end encrypted and provides zero-access inference with powerful open-source models like Kimi, Gemma, and GLM. You can try it out for free: https://chat.tinfoil.sh\r\n\r\n- A developer-friendly API that allows you to build AI applications where all user data is kept private and we as the inference provider cannot see any of the prompts. Our SDKs make sure that all relevant security measures are checked for you before even sending a single byte of data. Learn more:https://docs.tinfoil.sh \r\n\r\n- An advanced confidential computing platform we call Tinfoil Containers that allows you to secure any Docker application. We make it easy to deploy your own logic and applications inside secure enclaves and prove to the world what code is running inside. This enables attested workloads and publicly verifiable privacy policies for sensitive applications. Learn more: https://tinfoil.sh/containers ",
    "one_liner": "Encrypted AI with verifiable privacy",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1744845895,
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        "full_name": "Tanya Verma",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Tinfoil | Systems, Cryptography and AI @ Cloudflare | CubeSats & CS @ UIUC",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tanya-verma-130a23124/",
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        "full_name": "Jules Drean",
        "title": "Founder",
        "founder_bio": "Jules has an MIT PhD in secure hardware and confidential computing. He has industry experience working at Microsoft Research and NVIDIA on the technologies underlying Tinfoil. During his PhD, Jules has built secure enclaves from the ground up and studied how to attack and defend these systems against advance microarchitectural attacks. His work also looked at using trusted hardware to securely deploy advanced cryptographic primitives such as FHE and MPC.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jdrean",
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      {
        "user_id": 2540941,
        "full_name": "Sacha Servan-Schreiber",
        "title": "Founder",
        "founder_bio": "Co-founder of Tinfoil | PhD at MIT in cryptography\n\nPersonal website: sachaservanschreiber.com ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sacha-servan-schreiber-308341305",
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    "launches": [
      {
        "id": 90590,
        "title": "Tinfoil: Verifiable Privacy for Cloud AI",
        "tagline": "We host models and AI workloads on the cloud while guaranteeing zero data access and retention",
        "body": "Sending your most sensitive or proprietary data to OpenAI et al?\n\nSick of deals getting stalled during enterprise or government security reviews?\n\nHate deploying on various configurations of on-prem infrastructure environments?\n\nSay less ✋\n\nWe’re [Tanya](https://www.linkedin.com/in/tanya-verma-130a23124/), [Jules](https://www.linkedin.com/in/jdrean/), [Sacha](https://www.linkedin.com/in/sacha-servan-schreiber-308341305/) and [Nate](https://www.linkedin.com/in/nate-sales/) from[ Tinfoil](https://tinfoil.sh/). What we’re building at Tinfoil sidesteps these concerns because we can host models while guaranteeing zero data access and retention.\n\nWe let you run powerful models like Llama, Deepseek R1 on cloud GPUs without you having to trust us – or the cloud provider – with your private data.\n\nSince AI performs better the more context you give it, we think solving AI privacy will unlock more valuable AI applications, just how TLS on the Internet enabled e-commerce to flourish knowing that your credit card info wouldn't be stolen by someone sniffing internet packets.\n\nhttps://youtu.be/wnwI22qT-QQ\n\n**Who we are**\n\nWe come from backgrounds in cryptography, security, and infrastructure. Jules did his PhD in trusted hardware and confidential computing at MIT, and worked with NVIDIA and Microsoft Research on the same, Sacha did his PhD in privacy-preserving cryptography at MIT, Nate worked on privacy tech like Tor, and I (Tanya) was on Cloudflare's cryptography team.\n\n We were unsatisfied with band-aid techniques like PII redaction (which is actually undesirable in some cases like AI personal assistants) or “pinky promise” security through legal contracts like DPAs. We wanted a real solution that replaced trust with provable security, and addressed our personal frustration with the false choice between exploring cutting-edge AI capabilities and personal privacy.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcicUJrVGkJrvHFqW2CaNEpGzvSfbjySaAR3k-Q8fbf56JtXg8xAJa5MJrYn-RIdJjFirmZ4khWay_UpV6WhnZKZEE9ApI5HX97jRKGw4mJOTblXrujRY_9xcCvGPL139p2QaKd1g?key=xi6EV3GMAYXvlmorGP948w)\n\n**The magic sauce**\n\nRunning models locally or on-prem is an option, but can be expensive and inconvenient. Fully Homomorphic Encryption (FHE) is not practical for LLM inference for the foreseeable future. The next best option is using secure enclaves: a secure environment on the chip that no other software running on the host machine can access. This lets us perform LLM inference in the cloud while being able to prove that no one, not even Tinfoil or the cloud provider, can access the data. And because these security mechanisms are implemented in hardware, there is minimal performance overhead.\n\nUp until recently, secure enclaves were only available on CPUs. But NVIDIA confidential computing recently added these hardware-based capabilities to their latest GPUs, making it possible to run GPU-based workloads in a secure enclave.\n\nBelieve it when you see it, but Tinfoil has negligible performance overhead despite the strong security & privacy guarantees.\n\n**Getting Started**\n\n**The best part is you can start using confidential AI chat and inference with Tinfoil today!**\n\n**Try our private chat: [tinfoil.sh/chat](http://tinfoil.sh/chat).**\n\n[**https://www.youtube.com/watch?v=FuFszT0_vXk**](https://www.youtube.com/watch?v=FuFszT0_vXk)\n\n**Build with our API:** Drop-in replacement for the OpenAI chat-completions API with Tinfoil\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfBq_bx4bvZAzdB9BTzMg9KSE8UB2bKQO5uqfF5eoZkEWZFUtlbFnZpeD-m_PwaCVgUWftTt3QDLTW-r84u2dvUEGQ0ddbbQuq082ClI48l2cY4jWX-kWG1G6ZfwjNh8GN-EdAVJg?key=xi6EV3GMAYXvlmorGP948w)\n\nWe support several popular open source models like Deepseek R1 70B, Llama3.3 70B, Mistral 3.1 24B. Missing your favorite model? Just ask us to add it!\n\nTry out our free version running Llama3.3 70B in [Colab](https://colab.research.google.com/drive/1DhpUSmSWjxERnEo3U0qyAyApfcdIhvMv?usp=sharing).\n\nSee how Nate psychoanalyzes himself by sending all his iMessage chats to Tinfoil!\n\nhttps://www.loom.com/share/2381c02ba51043528c6d3bdf61270bc0?sid=9ea0e955-ae68-4ce4-9c86-d06cab18d25c\n\n**Deploy your AI Application**: Make your AI application enterprise-ready in a matter of minutes. Here's a demo of how you can use Tinfoil to run a deepfake detection service that could run securely on people's private videos:\n\nhttps://www.youtube.com/watch?v=_8hLmqoutyk\n\nWe encourage you to be skeptical of our privacy claims. Verifiability is our answer. It’s not just us _saying_ it’s private; the hardware and cryptography let _you_ check. Here’s a guide that walks you through the verification process:[ ](https://docs.tinfoil.sh/verify)https://docs.tinfoil.sh/verification/attestation-architecture.\n\n**The Ask**\n\nIf you think this sounds interesting, or too good to be true, contact us at [**founders@tinfoil.sh**](mailto:founders@tinfoil.sh)**!**\n\nWe’d love to hear from you, whether you’re a:\n\n* startup looking to sell into regulated industries\n* government agency that does everything on-prem but doesn’t trust your AI team to handle sensitive data\n* neocloud trying to secure enterprise customers in regulated industries that don’t migrate from the big clouds to you\n* company providing your employees dead-simple confidential LLM chat app\n\nYou can also learn more on our [**blog**](https://tinfoil.sh/blog), and subscribe to our [**LinkedIn**](https://www.linkedin.com/company/tinfoil/) and [**Twitter**](https://x.com/TinfoilAI) to follow updates!",
        "url": "https://www.ycombinator.com/launches/NZ8-tinfoil-verifiable-privacy-for-cloud-ai",
        "votes": 44,
        "created_at": "2025-05-21T14:22:18.121Z"
      }
    ]
  },
  {
    "id": 30458,
    "name": "Jeevy Fabrication",
    "slug": "jeevy-fabrication",
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      "Jeevy Automation"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eac311ec272dd9a9d05d85595f54625e24114fe0.png",
    "website": "https://www.jeevyfabrication.com/",
    "all_locations": "Cleburne, TX, USA",
    "long_description": "Jeevy Fabrication is an AI-powered contractor that connects complex weld jobs to the best-fit shops—fast. We deliver top-tier QA and total transparency, all at better traditional outsourced pricing.\r\n\r\nOur software reduces bid and scheduling time for our in-network shops by over 80%. It converts manufacturing drawings into an accurate bill of materials and a resource-loaded, high-fidelity schedule—eliminating costly errors and rework. Using this our in-network fabricators can bid on more jobs and deliver more reliable results than their competitors. \r\n\r\nWe also offer our clients a streamlined purchasing and project tracking experience. Clients submit purchase requests, track schedules, access key documents, and receive real-time photo updates—all in one place. We provide traceability for easy material review and maintenance of domestic content standards as required. Faster decisions, fewer delays, complete visibility. ",
    "one_liner": "AI Driven EPC - Weld Fabrication Contractor",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1746772622,
    "tags": [],
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    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/jeevy-fabrication",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/jeevy-fabrication.json",
    "year_founded": 2025,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/jeevy-fabrication/?viewAsMember=true",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 2560244,
        "full_name": "Jeevesh Konuru",
        "title": "Founder",
        "founder_bio": "SpaceX || MIT BS/MBA || Stanford MS || Sloan MBA Dropout\n\nLed team of 8 engineers at SpaceX for several years building cryogenic loading systems in South TX. During surge projects would manage large teams of welders/technicians. Managed $110M budget for design, procurement and build of the template design of the propellant loading system for Starship. ",
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      {
        "user_id": 607146,
        "full_name": "Vinay Konuru",
        "title": "Founder",
        "founder_bio": "Rondo Energy | Stanford | Princeton\n- Personal engineer to Rondo Energy founder John O'Donnell, rapidly developed core technical analysis to support $30M+ project sales cycles\n- Dropped out of Stanford University Master's of Engineering\n- Top prize at Princeton Research Day 2023 for development of a desktop direct air carbon capture system",
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        "linkedin_url": "https://www.linkedin.com/in/vinay-k-b09034186/",
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    "jobs": [
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        "id": 88200,
        "title": "Backend Data + AI Engineer",
        "url": "https://www.ycombinator.com/companies/jeevy-fabrication/jobs/dRpwwvW-backend-data-ai-engineer",
        "location": "Dallas, TX, US / Cocoa Beach, FL, US / Remote (US)",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $150K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 90270,
        "title": "Jeevy Fabrication: The AI Fabrication Contractor",
        "tagline": "Meet Jeevy, the company re-imagining weld fabrication",
        "body": "# **TLDR**:\n\n# Jeevy Fabrication is a AI driven fabrication contractor for welded assemblies. We deliver higher quality QA and schedule transparency while maintaining competitive pricing.\n\nhttps://www.youtube.com/watch?v=4lB7YAlHF1U\n\n# **What we found**:\n\nIf you are building rockets to Mars or fusion systems, getting complex welded assemblies built to spec, on time, and on budget is mission-critical—**and incredibly hard**.\n\nOutsourcing to smaller weld shops can save money, but often at the cost of quality, schedule delays, and lost traceability. Precision assemblies often arrive dirty, out of spec, or late because these shops lack the project management horsepower needed to maintain the rigor high-stakes hardware demands.\n\n**Quick reality check:** Processing one drawing properly—with a detailed schedule, test plan, and QA flow—takes \\~9 hours. With only a 10% win rate on bids, a small shop could spend 90 hours just to land one job. That’s not scalable when you’ve got one or two engineers.\n\n# **Our approach**\n\nWe figured it would be awesome if we could offer the same high quality results of in-housing at the price of outsourcing a job. Our software reduces bid and scheduling time for our in-network shops **by over 80%**. It converts manufacturing drawings into an accurate bill of materials and a resource-loaded, high-fidelity schedule—eliminating costly errors and rework. Using these tools, our in-network fabricators can **spend less time bidding and deliver more reliable results than their competitors**. ‘\n\n**We handle the bids, purchase materials, and allocate jobs to shops in our network** that have the right capabilities and available capacity. By owning the job end-to-end, we ensure quality and adherence to key project milestones. In-network shops benefit from smarter scheduling tools and a steady stream of work to fill their downtime.\n\n# **About the Team**\n\n![uploaded image](/media/?type=post&id=90270&key=user_uploads/2560244/fd3594e1-0826-4e36-9631-04058ff16474)\n\nWe’re brothers—and that’s a desktop DAC (Direct Air Capture) we built together as a side project. We’ve always known we’d start a company together—it’s been part of the plan for as long as we can remember. And we’ve always said it had to be a rock ’n’ roll fueled adventure!\n\nOur dad was a serial entrepreneur, and dinner conversations were filled with stories and lessons from his ventures. That’s just how we grew up.\n\n**Jeevs**: Spent several years at SpaceX designing and building welded assemblies for launch pads in South Texas. The genesis of this idea came from the pain Jeevs experienced while sourcing parts for launch critical systems. “...why is there water in my cryogenic liquid oxygen pipe?? It’s like they’re trying to kill us!”\n\n**Vinay**: Several years of experience writing software for energy grid optimization projects. Worked at Rondo Energy designing and modeling grid scale heat batteries. He has a computer science and electrical degree from Princeton University.\n\n# **Our ask**\n\nNeed a welded part built? Know someone who does? Please let us know! ",
        "url": "https://www.ycombinator.com/launches/NTy-jeevy-fabrication-the-ai-fabrication-contractor",
        "votes": 88,
        "created_at": "2025-05-10T10:50:02.019Z"
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  },
  {
    "id": 30461,
    "name": "Combinely",
    "slug": "combinely",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d60074c98f74b46443d4cb4aaad793b532b48401.png",
    "website": "https://combinely.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Coco is the AI coworker for accountants. It joins your firm like an employee to run end-to-end accounting workflows. It uses your tools, learns your clients and your firm's standards. It comes ready on day one with 50+ agents for bookkeeping, VAT, payroll, tax and accounts. Nothing to set up, no prompting to learn.",
    "one_liner": "AI Coworker for Accountants",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1746104417,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/combinely",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/combinely.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/combinely",
    "x_url": "https://x.com/Combinely",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
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        "user_id": 1591072,
        "full_name": "Tom Invernizzi",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder & CEO of Combinely. Previously at Deloitte & PWP.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tominvernizzi/",
        "x_url": "https://x.com/Tom_inv",
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      },
      {
        "user_id": 1315195,
        "full_name": "Arthur Granacher",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder & CTO of Combinely. Previously at Google & Shazam.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arthur-granacher",
        "x_url": "https://x.com/ArthurGranacher",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9590e3b808ffb1f375b8bddd3ae4e672e10f5462.jpg"
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    "news": [],
    "launches": [
      {
        "id": 117853,
        "title": "Combinely - AI Coworker for Accountants",
        "tagline": "AI coworker that joins your firm like an employee to run end-to-end accounting workflows.",
        "body": "Hey everyone, we're **Tom &amp; Arthur**, co-founders of **Combinely.**\n\n### **TL;DR**\n\nAI is raising client expectations faster than accounting firms can adapt. Accountants are under pressure to deliver more complex work, faster, while still doing the basic work by hand.\n\nBuilt by an ex-Deloitte/Google team, **Combinely is an AI coworker that takes on entire workflows** across bookkeeping, tax, and audit.\n\n**Watch the 60-second demo:** <https://youtu.be/aBbsXgrhKt4>\n\n### **Problem**\n\n**Accounting software got faster. The work didn’t go away.**\n\nData still comes in messy. Someone still has to collect it, structure it, check it, and move it between systems.\n\n**AI is raising the bar.**\n\nClients expect more, faster. Accountants need to move to higher-value work, while the basic work still has to get done.\n\n### **Solution**\n\nAn AI accountant that works like an employee, carrying work through to completion.\n\n* Uses the same tools, learning your clients and firm standards.\n* Works across bookkeeping, tax, and audit.\n\n#### **The impact**\n\n* **Doubles firm capacity,** not individual productivity.\n* Gives people **their time back** from work no human should still do.\n* Lets firms **win revenue they couldn't before**, jobs once too small or crowded out.\n\nIf the above resonates, reach out to [tom@combinely.ai](mailto:tom@combinely.ai) or book a call. Thank you!",
        "url": "https://www.ycombinator.com/launches/Uer-combinely-ai-coworker-for-accountants",
        "votes": 2,
        "created_at": "2026-10-01T14:29:05.984Z"
      },
      {
        "id": 95734,
        "title": "Combinely - AI coworker for tax teams",
        "tagline": "AI coworker that saves tax accountants 90 minutes a day in busy season",
        "body": "Hey everyone, we’re Tom & Arthur - co-founders of Combinely.\n\n### **TL;DR**\n\n**Tax workflows are fragmented:** every client is different, every return has exceptions, and firms rely on systems that don’t talk to each other. **With under 25% automated**, teams lose hours switching across systems - hitting capacity fast.\n\n[Combinely](https://www.linkedin.com/company/combinely/)’s AI coworker fixes this by **adapting to a firm’s existing tools & processes - just like a real employee.** From managing an overflowing inbox to reviewing returns - it saves accountants 90 minutes every day.\n\n📺 Watch the 60-second demo: https://www.youtube.com/watch?v=asMsSc70_pE\n\n**📬 Know a tax team ready for AI?** → [tom@combinely.ai](mailto:tom@combinely.ai) /[ book a call](https://calendly.com/d/cn29-5dx-6bz)\n\n---\n\n### **Problem**\n\n1. **Manual tax workflows:** Tax teams spend hours daily on manual work because client-specific tasks remain hard to automate.\n2. **Seasonal overload:** Tax season compresses a year of work into 12 weeks. Staff burn out, clients wait, and half of firms turn away work for lack of capacity.\n\n---\n\n### **Solution**\n\n**AI coworker that learns from past client work to proactively deliver end-to-end tax workflows.**\n\n### **What it does**\n\n1. **Learns from past work** to build a live profile for each client - needs, history, quirks.\n2. **Proactively helps across client engagement** from collecting documents, answering clients queries to reviewing returns.\n3. **Works like a junior teammate** - same systems access, and talk to it by email or call.\n\n### **The impact**\n\n* **Saves 90 min per tax accountant per day** during busy season.\n* **Increases client capacity** without growing headcount.\n* **Reduces stress**, errors, and burnout.\n\nIf this resonates → [tom@combinely.ai](mailto:tom@combinely.ai) /[ book a call](https://calendly.com/d/cn29-5dx-6bz). Thank you!",
        "url": "https://www.ycombinator.com/launches/Ou6-combinely-ai-coworker-for-tax-teams",
        "votes": 10,
        "created_at": "2025-11-24T05:51:45.738Z"
      },
      {
        "id": 89999,
        "title": "Combinely - AI coworker for accountants",
        "tagline": "AI-coworker that helps accountants review & produce work.",
        "body": "Hey everyone, we’re [Tom](https://www.linkedin.com/in/tominvernizzi/) & [Arthur](https://www.linkedin.com/in/arthur-granacher/) – co-founders of [Combinely.](https://combinely.ai)\n\n### **TL;DR**\n\nAccountants spend **30-40% of their day in Outlook** – chasing clients, replying to questions, and digging through past emails for context.\n\nBuilt by an ex-Deloitte/Google team, **Combinely’s AI-coworker proactively takes on work**, helping accountants handle everything from answering client queries to producing & reviewing deliverables.\n\nWatch the 60-second demo:\n\n<https://www.youtube.com/watch?v=gcy1-b2uJ9M>\n\n**Know an accounting firm ready for AI?** Connect us → [tom@combinely.ai](mailto:tom@combinely.ai) / [Book a call](https://calendly.com/d/cn29-5dx-6bz)[.](mailto:tom@combinely.ai)\n\n---\n\n### **Problem**\n\n#### Client communication\n\n30-40% of an accountant’s day disappears in Outlook – chasing documents, answering client questions, and hunting for context.\n\n#### Seasonal workload\n\nTax season crams a year’s workload into a few intense months – leading to client dissatisfaction, more mistakes, and staff burnout.\n\n### **Solution**\n\n**AI coworker that cuts time spent in Outlook in half.**\n\n#### What it does\n\n* **Learns from past work** to draft high-quality answers and first-pass deliverables.\n* **Builds a live profile for each client** to understand their needs, history & quirks.\n* **Acts like a teammate**: proactively gets to work as soon as an email comes in.\n\n#### The impact\n\n* Saves **1-2 non-billable hours** per employee, per day.\n* Lets firms **serve more clients** without proportional head-count growth.\n* **Relieves busy-season** stress and errors.\n\n---\n\nIf the above resonates, reach out to [**tom@combinely.ai**](mailto:tom@combinely.ai) or [**book a call**](https://calendly.com/d/cn29-5dx-6bz). Thank you!\n\n![uploaded image](/media/?type=post&id=89999&key=user_uploads/1315195/b4d99548-45fb-4c06-9985-d4c989f4d879)\n\n",
        "url": "https://www.ycombinator.com/launches/NPb-combinely-ai-coworker-for-accountants",
        "votes": 148,
        "created_at": "2025-05-01T14:40:07.737Z"
      }
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    "id": 30462,
    "name": "Freesolo",
    "slug": "freesolo",
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      "Clado",
      "Freesolo",
      "Clado"
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    "website": "https://freesolo.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Freesolo works with companies to encode user-trajectory knowledge into specialized models that outperform the state of the art at much lower latency and cost.",
    "one_liner": "Product Native Models",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1742722403,
    "tags": [
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      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/freesolo",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/freesolo.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/freesoloco",
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      {
        "user_id": 1528922,
        "full_name": "Eric Mao",
        "title": "Founder/CEO",
        "founder_bio": "Hello, my name is Eric. I used to study Computer Science and Business at the University of Pennsylvania. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eric-mao/",
        "x_url": "https://x.com/ericmao",
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      {
        "user_id": 2374036,
        "full_name": "Tom Zheng",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder @ Freesolo, automating model training. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tomzhengy",
        "x_url": "https://x.com/tomzheng",
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        "id": 105027,
        "title": "Freesolo: Post-Training Built for your Agent",
        "tagline": "Small models, frontier performance",
        "body": "Not every AI interaction is best served with a large frontier model. There is a long tail of trillion-token use cases, from tagging to search, best served by a sub-10B-parameter model that runs in milliseconds and costs many orders of magnitude less than the frontier. However, engineers historically had to choose between model size and quality; as models got smaller, performance, adherence, and recall dropped linearly. Post-training on production data closes that gap. We built Freesolo Flash to make training loops like SFT and RL easy and end-to-end completable through your coding agent.\n\nWe accomplish this in a few different ways\n\n* Upfront pricing: instead of billing by GPU hours or tokens spent while training, we quote the cost of the entire run upfront, so your agent can accurately tweak the dataset, model size, and algorithms it uses while staying in your budget before it starts the run.\n* Our GPU infrastructure is optimized to make your specific run as in-expensive and fast as possible. This optimization means training with flash is 8x less expensive for SFT and 5.5x less expensive for GRPO (RL) when compared to Tinker.\n\nFlash is built out of our own frustrations with current managed post-training solutions, especially for SLMs. We believe that unlocking frontier capability for a narrow task into a small model will prove to be the best improvement for all agentic product UX. Flash is our first step towards solving this. Just grab a Freesolo API Key, point your agent at the training package, and watch it push your lightweight model beyond the frontier.\n\nFlash is publicly available today at  <https://freesolo.co>[ ](https://freesolo.co/). Train on!",
        "url": "https://www.ycombinator.com/launches/RJz-freesolo-post-training-built-for-your-agent",
        "votes": 3,
        "created_at": "2026-07-13T19:38:20.322Z"
      },
      {
        "id": 90716,
        "title": "Clado: Deep Research for People",
        "tagline": "100,000+ agents to find the right people at the right time",
        "body": "Clado puts 200 million+ people profiles (and growing) at your fingertips with simple, agentic search. \n\nIf you’re interested in a global people search for sales, spreadsheets, hiring, and more, let’s talk: https://cal.com/clado/chat\n\n**We’d love for you all to try Clado out live!** https://clado.ai\n\nhttps://youtu.be/NEqtIFNZJoU\n\n❌ The Problem: Keywords, Filters, Data\n\nFinding the right people is broken. Current methods of people search are made up of endless filter menus, incomplete data sets, and keyword search. It takes tremendous effort and time to find people for sales and hiring, as current search methods rely on fuzzy filters in limited datasets. \n\n✅ Solution: Clado uses agentic search to find exactly who you're looking for. Just describe the qualities you want, and we will deploy hundreds of thousands of agents to find them.\n\n![uploaded image](/media/?type=post&id=90716&key=user_uploads/2374036/2faf2b26-e574-43af-8bdc-933ad4b2f2e7)\n\nThese example searches are time-consuming to execute with standard filtering tools and elude traditional keyword filters.\n\n_\"AI Engineers I can poach for my pharmaceutical startup/interested in biology in Copenhagen.\"_\n\nAn even harder one:\n\n_“Every exec (Owner/CEO/COO/CFO/Partner/Head of Growth/CTO) at accounting firms in the US and UK between 250 - 2000 employees\"_\n\nAfter internally benchmarking our people search engine against other platforms, our model achieves SOTA performance. \\\n\\\nWhat good is finding the right person if you can’t easily contact them? We’re also able to achieve SOTA performance on contact delivery information retrieval given any Linkedin URL (provided for every result in our search). \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdlMEsme5O2KS7jDjVQ5meLUOG0wSsn4dUDYSaIlwQ2hYDg2Sa7HGCVi_7rjnEAfXWNdODe05Fhghlf6BVYD0z6QlbEjh4B1N1rGLlh3M_RqfIRDrIdpkdKJQzZivA3A7cMH7D93w?key=IzTsz7ArVY5QuH96a3WVtw)\n\nTesting Conditions:[ https://pastebin.com/98PVVN9b](https://pastebin.com/98PVVN9b)\\\n\\\nThe Team:\\\nTom (UCSD) & Eric (UPenn M&T) are both ambitious freshmen who met in elementary school. They previously founded a nonprofit and won Canada’s largest data science & physics competitions.\\\n\\\nThey’ve also sailed over 300 nautical miles over 10 days, canoed 100km over 6 days, walked around Toronto hanging up posters for their first business for two weeks straight, and traveled to Sri Lanka on a three-day notice to present at a conference together. \\\n\\\nTry clado: https://clado.ai\n\n📅 Book a meeting: [**https://cal.com/clado/chat**](https://cal.com/clado/chat)\n\n📧 Email us: [**founders@clado.ai**](mailto:founders@clado.ai)",
        "url": "https://www.ycombinator.com/launches/NbA-clado-deep-research-for-people",
        "votes": 80,
        "created_at": "2025-05-27T20:44:55.352Z"
      }
    ]
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    "id": 30464,
    "name": "Sixtyfour",
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      "Sixtyfour",
      "Sixtyfour AI"
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    "website": "https://www.sixtyfour.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sixtyfour deploys AI agents that investigate people and companies across the open and dark web, official records, proprietary databases, and unstructured sources. We resolve identities, map entity relationships, and surface risk signals for teams where data quality is essential.",
    "one_liner": "Intelligence Infrastructure on People and Entities",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1747432267,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
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        "user_id": 804300,
        "full_name": "Saarth Shah",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Sixtyfour. Previously, engineering @ Whatnot (W20) and Deepgram AI (W16). UC Berkeley alum. Ex-Data Science Researcher @ Stanford Snyder & San Diego Supercomputer Center.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/saarthshah",
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      {
        "user_id": 937584,
        "full_name": "Christopher Price",
        "title": "Founder/COO",
        "founder_bio": "Cornell CS, AI CalHacks Winner, Prev @ Onyx (YC W24), Currently Building AI Agents for GTM",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/christopher-price-59a24b178",
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    "jobs": [
      {
        "id": 105487,
        "title": "Growth Intern - Fall 2026",
        "url": "https://www.ycombinator.com/companies/sixtyfour/jobs/lPEgSOT-growth-intern-fall-2026",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$30 - $50 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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      },
      {
        "id": 112379,
        "title": "Product Marketing Lead",
        "url": "https://www.ycombinator.com/companies/sixtyfour/jobs/WR7Fp66-product-marketing-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "0.05% - 0.30%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    ],
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    "launches": [
      {
        "id": 102050,
        "title": "Sixtyfour - People Intelligence Infrastructure",
        "tagline": "Deploy thousands of AI agents to research any person or company.",
        "body": "👋 Hi, we're Saarth and Chris, co-founders of Sixtyfour (YC X25). \n\n<https://www.youtube.com/watch?v=9Q0aVTtXFM4>\n\n**The problem**\n\nIn 2025-2026 alone, Texas, Nevada, Indiana, and New Jersey all sued Discord for failing to identify predators on the platform.\n\nAnonymous accounts on Polymarket made $2.4M with a 98% win rate on Iran war bets.\n\nOnur Aksoy ran 19 shell companies and 25 Amazon storefronts, selling $100M in counterfeit Cisco gear that ended up on US military aircraft.\n\nToday, teams that need to follow it (Trust &amp; Safety, KYB, threat intel, due diligence) throw analyst teams at it. Still not trusting the answer after days or weeks of research. Not to mention it doesn't scale.\n\nBad actors slip through. People get harmed.\n\n**What we built** \n\nThe child predator's username. The scammer's banned accounts. The fraudster's shell company. \n\nAll of them leave a trail.\n\nImpossible to connect, but the trail was always there.\n\nOur agents have now made it possible to follow it.\n\nGive us one identifier (a name, email, phone number, username, or company name), and we deploy agents to recursively search the open web, dark web, social platforms, court records, and regulatory filings. Every signal is cross-referenced across thousands of sources. Every data point cited.\n\nCompanies using us today:\n\n* Cloaked uses us to uncover highly sensitive, hidden data about people, identifying attack vectors against their users.\n* TRM Labs uses us to attribute bad actors to real-world identities.\n* Airwallex uses us to screen counterparties for shell companies and AML risk.\n* Whatnot uses us to find qualified marketplace sellers that no platform can surface.\n* Surge, Turing, and Datacurve use us to source niche domain experts for AI training data.\n\nTo name a few.\n\n**Two ways to use it**\n\n1. App at [app.sixtyfour.ai](http://app.sixtyfour.ai)\n2. [API](https://docs.sixtyfour.ai/introduction) + [MCP](https://docs.sixtyfour.ai/developer-tools/mcp-setup) server to plug into Claude, Codex, Cursor, or your own stack\n\n\\\n**The numbers**\n\nIn the next couple of weeks, we’ll publicly release our benchmark results with independent validation from one of the world’s leading data labs.\n\nOur new deep people research system sets a new state-of-the-art, outperforming Gemini 3.1 Pro, Grok 4.20, GPT 5.4, Exa Deep Reasoning, and Parallel Ultra while running 3x faster than the closest competitor.\n\n![uploaded image](/media/?type=post&id=102050&key=user_uploads/804300/9d779b0d-a669-4606-991d-d7a595ab098e)\n\n\\\n**Our ask**\n\nWould really love Intros :) \n\n* Heads of Trust &amp; Safety, \n* Fraud, AML, or KYB at marketplaces, banks, and fintechs \n* Heads of Risk and Threat Intel at cybersecurity teams \n* Heads of Talent and Recruiting at hypergrowth companies\n* Companies needing people and company data enrichment solutions\n\n\\\nReach out at [saarth@sixtyfour.ai](mailto:saarth@sixtyfour.ai)\n\nHiding just got harder. Try it now at [app.sixtyfour.ai](http://app.sixtyfour.ai).\n\nSaarth, Chris &amp; the Sixtyfour team\n\n![uploaded image](/media/?type=post&id=102050&key=user_uploads/804300/b56fa1e1-efb9-4695-9e4f-d1af45d331dd)\n\n",
        "url": "https://www.ycombinator.com/launches/QXy-sixtyfour-people-intelligence-infrastructure",
        "votes": 21,
        "created_at": "2026-05-27T19:22:20.361Z"
      },
      {
        "id": 90535,
        "title": "Sixtyfour - Bloomberg Terminal for sales",
        "tagline": "We help hypergrowth companies deploy custom research agents that map their TAM and surface real-time, tailored market signals.",
        "body": "Enterprise sales teams spend 50% of their time on research that misses the mark. Here's why — and how we're fixing it.\n\nHey everyone! We’re Saarth & Christopher – the founders of Sixtyfour. 👋\n\n**TL;DR**\n\nSixtyfour AI is the Bloomberg Terminal for sales. We work with hypergrowth companies to deploy custom research agents that map their Total Addressable Market and deliver real-time market signals, fully tailored to what matters most.\n\nCustomers like **Mercor**, **Traba**, **Hockeystack**, and **Conduit** use Sixtyfour to stay ahead of the curve.\n\n<https://youtu.be/s45NR6diBPo>\n\n**🧠** **The Enterprise GTM Problem**\n\nIf you’re selling into a niche or regulated market ( health systems, manufacturing, fintech, govtech, and so on), you already know: generic data platforms don’t work.\n\nHere’s why:\n\n**💡 “Intent signals” are too broad**\n\nMost tools will tell you someone visited a pricing page. That’s not useful when you’re selling a $250K solution into a regional hospital network or a logistics hub in the Midwest.\n\n**🧱 The nuance is everything**\n\nEnterprise sellers ask real questions:\n\nDid that manufacturing facility just expand its fleet?\n\nDoes it have two or three parking bays?\n\nDid that nursing home file a new Medicare cost report?\n\nIs the new VP of Ops a better entry point than the outgoing admin director?\n\nThese are the signals that drive pipeline and predict fit, and no off-the-shelf platform can give you that.\n\n**🔍 Static filters can’t model your ICP**\n\nTry finding “companies that just adopted Drift, expanded their marketing team by 30%, and hired a new CRO in the past 90 days” in traditional tools. Impossible. Our agents live in that world\n\n**✨ The Sixtyfour Advantage**\n\nWe don’t sell contact lists. We build intelligence infrastructure for your GTM engine.\n\n**📍 Custom TAMs, always current**\n\nWe work with your team to define and continuously update your market using real-world, dynamic data — regulatory filings, facility attributes, staff movements, and even track infrastructure like parking lot size.\n\n**📡 Proprietary real-time signals**\n\nFrom Medicare cost report changes to decision-maker exits to new vendor adoption — we detect what matters to your team, as it happens.\n\n**🧠 Deployable custom ML models**\n\nHave internal data on close rates, deal velocity, or expansion triggers? We plug it in.\n\nWe can train and deploy custom ML models to estimate buyer readiness, ICP fit, churn risk, and more, directly tailored to your pipeline data.\n\n**🤖 Agents that think like your best rep**\n\nOur AI agents mirror your go-to-market motion, tracking, qualifying, and notifying you at the exact right time.\n\n**👥The Team**\n\nWe’re both repeat founders who have built and sold into complex markets.\n\nSaarth is a UC Berkeley Data Science grad and ex-Whatnot (YC W20), Deepgram (YC W16), and Stanford researcher. He built one of the earliest conversational AI agents (Dart) and has been shipping products since he was 10.\n\nChristopher, a Cornell dropout, led GTM at Onyx (YC W24) and built sales AI tools at Symbl. He’s a CalHacks AI winner and ex-analyst at Cornell Atkinson, with deep experience across AI, ops, and consumer tech.\n\nWe’ve lived the pain of building GTM systems by hand, and we’re building the platform we always wished existed.\n\n**👋 Our Ask**\n\n🏢 Know a GTM, RevOps, or sales leader at an enterprise or hypergrowth vertical SaaS company? Send them to [sixtyfour.ai](http://sixtyfour.ai) — we’d love to chat.\n\n💬 Frustrated with generic signals and shallow filters? Let’s build something that works for your team.\n\nEvery intro, share, and shoutout means the world. Thank you — we’re just getting started.\n\n![uploaded image](/media/?type=post&id=90535&key=user_uploads/804300/0c80ad45-4d97-43f6-8fed-9a5782416b19)\n\n",
        "url": "https://www.ycombinator.com/launches/NYF-sixtyfour-bloomberg-terminal-for-sales",
        "votes": 156,
        "created_at": "2025-05-19T22:27:28.413Z"
      }
    ]
  },
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    "id": 30465,
    "name": "Photonium",
    "slug": "photonium",
    "former_names": [
      "PhotonIQ"
    ],
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    "website": "https://www.photoniumoptics.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Photonium is building software to automate optical system design. We supercharge optics experts with intelligent tooling to reduce costs and deliver faster. We handle the full design stack — from optimization, verification, sourcing, to prototyping — for AR/VR, quantum, biotech, metrology/chip fab, LiDAR, and more. ",
    "one_liner": "AI-Powered Optical Consulting & Software",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1748388578,
    "tags": [
      "Hard Tech",
      "Hardware",
      "Machine Learning",
      "B2B",
      "Manufacturing"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/photonium",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/photonium.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/photonium-optics/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 2467765,
        "full_name": "Jennifer Song",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Photonium. Quantum Computing at Harvard/Stanford/QuEra",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jennifer-y-song",
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      },
      {
        "user_id": 1865732,
        "full_name": "Adam Mhatre",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Photonium. Computational Physics at Stanford",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/adam-mhatre-5b8aaa230",
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    ],
    "jobs": [
      {
        "id": 79020,
        "title": "Founding ML Engineer",
        "url": "https://www.ycombinator.com/companies/photonium/jobs/JEOfTqj-founding-ml-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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    "launches": [
      {
        "id": 90808,
        "title": "Photonium: AI-Accelerated Optical Design Automation ⚛️",
        "tagline": "Design optical systems faster and cheaper.",
        "body": "Hey YC!\n\nWe’re [Jennifer](https://www.linkedin.com/in/jennifer-y-song) and [Adam](https://www.linkedin.com/in/adam-mhatre-5b8aaa230/) - cofounders of Photonium.\n\n**TL;DR**\n\nPhotonium automates optical system design with AI, replacing costly manual iteration with end-to-end system optimization.\n\n**🚨 The Problem**\n\nOptical systems are mission-critical across many high-growth sectors — including quantum technology, biomedical imaging, LiDAR for defense and autonomous vehicles, and metrology for semiconductor fabrication.\n\nBut designing them is a nightmare:\n\n* Companies pour millions into teams of 20+ optical engineers\n* Projects take months or years to go from R&D to production\n* Tools are fragmented and outdated\n* Optimization is manual and often based on trial-and-error\n\nEngineers spend countless hours on repetitive workflows — constrained by tools that haven’t changed in decades.\n\n**⚙️ Our Solution**\n\nPhotonium is building the electronic design automation (semiconductor EDA) for optics. We work with complex optical setups across industries and handle the entire design process — from system generation and optimization to simulation, tolerancing, and sourcing.\n\nPhotonium enables companies to:\n\n* Generate and optimize designs from product specs\n* Predict tolerance impacts without slow simulations\n* Recommend data-driven alignment and manufacturing tweaks\n* Optimize for cost, size, and performance trade-offs\n* Seamlessly integrate with existing CAD workflows and optics simulation tools\n* Automate the full design-to-sourcing pipeline\n\n[Launch Video](https://youtu.be/YvX3Xr2_Gt8)\n\n**🚀 The Team**\n\nJennifer studied physics, math, and CS at Harvard and built quantum optics experiments across Harvard, Stanford, and QuEra (a Google-backed quantum computing startup).\n\nAdam studied computational physics at Stanford, and worked on plasma simulation for fusion and large-scale astrophysical modeling of black holes.\n\nWe’ve both felt the pain of inefficient engineering design firsthand — and built Photonium to fix it.\n\n⚛️ **Why This Matters**\n\nOptical systems are foundational to cutting-edge technologies, from quantum computing to semiconductor fabrication. Yet, outdated tools and fragmented workflows slow innovation and inflate costs. We hope to eliminate these bottlenecks and accelerate innovation across industries.\n\n📣 **Our Ask**\n\nIf you know anyone working with lasers and optics in any context, we’d love to chat! Contact us at [founders@photonium.ai](mailto:founders@photonium.ai)\n\n![uploaded image](/media/?type=post&id=90808&key=user_uploads/2467765/c27811f3-aa01-4860-9682-d3136973df3e)\n\n",
        "url": "https://www.ycombinator.com/launches/Nce-photonium-ai-accelerated-optical-design-automation",
        "votes": 51,
        "created_at": "2025-05-28T19:10:45.827Z"
      }
    ]
  },
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    "id": 30466,
    "name": "Labric",
    "slug": "labric",
    "former_names": [],
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    "website": "https://labric.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Labric is building the data layer that makes AI work for science. We capture messy lab data from instruments and tools, clean it, and connect it—so researchers can actually use AI to accelerate discovery.",
    "one_liner": "The data layer for scientific research",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1747086610,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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        "body": "Hello world 🏄 we are [Hemang](https://www.linkedin.com/in/hemangkandwal/) and [Anguel](https://www.linkedin.com/in/ahristozov/) from [Clidey](https://www.linkedin.com/company/clidey/), and we are building [Docucod](https://docucod.com/)!\n\n**TL;DR:**\n\n**Docucod automatically generates and maintains complete, always-up-to-date documentation—straight from your codebase.**\n\nDemo video: https://youtu.be/SAaZq9UHAic\n\n# **❗** What is the problem?\n\nOn average, developers spend **20–30% of their time** maintaining documentation—and that doesn’t even include the time it takes to create it in the first place. That’s nearly **12 hours in a standard 40-hour week**, often more if you're part of a fast-growing team.\n\nMost tools are still manual and time-consuming, stealing hours better spent building, selling, or scaling.\n\nGreat documentation isn’t just helpful—it’s a **growth engine**. Look at Stripe: their docs earn trust and convert users.\n\nThe truth? At most companies, documentation is an afterthought (we haven’t written ours yet either!) And we get it—“documentation specialist” usually isn’t on anyone’s job title.\n\n# 💡 What is the solution?\n\n**Docucod auto-generates and maintains always-up-to-date documentation—straight from your codebase.** You continue building, we’ll focus on the documentation.\n\nIt fits effortlessly into your workflow, whether you’re a small team or managing complex repos.\n\nFrom onboarding guides to API references and system diagrams, Docucod delivers clear, comprehensive docs with zero manual work.\n\nFully editable and always in sync, it lets you ship fast **and** document well—without compromise.\n\n# 🧠 How it works:\n\n* Connect your GitHub account and select a repo.\n* Docucod scans your repo to understand its structure and functionality, building an intelligent knowledge graph that maps out components, features, code flow, and so on.\n* It creates a structured documentation plan, outlining sections, navigation, and individual pages.\n* Docucod generates rich content with diagrams and contextual clarity.\n* Finally, it automatically pushes the documentation back to your repo for deployment.\n\n# 😎 Want to see some real examples?\n\nhttps://github.com/clidey/whodb-docs - deployed at http://whodb-docs.docucod.com/\n\nhttps://github.com/clidey/todos-docs - deployed at https://todo-docs.docucod.com/\n\n# 💯 Who Are We and Why Did We Build This?\n\n![uploaded image](/media/?type=post&id=90620&key=user_uploads/1558575/1eddcff2-4b1a-4343-847d-eb35680c9693)\n\nWe’re Hemang and Anguel—friends, builders, and longtime hackathon teammates. After years working at places like Palantir, J.P. Morgan, and Morgan Stanley, we saw one issue everywhere: documentation gets rushed, postponed, or skipped—and the fallout is always the same.\n\nWe built Docucod because this isn’t a people problem—it’s a systems problem. The fix isn’t better habits. It’s automation.\n\n> **We’re here to make documentation sexy again.**\n\n# 🤔 Is Docucod right for you?\n\n**Don’t use Docucod if:**\n\n🚫 You enjoy rewriting GitHub auth instructions.\n\n🚫 You love writing and maintaining docs by hand.\n\n**Use Docucod if:**\n\n✅ You want docs that stay up to date—automatically.\n\n✅ You want new hires productive on Day 1.\n\n✅ You’d rather ship than document.\n\n# 🥹 Our ask:\n\nIf this resonates with you, **get in touch:**\n\n[hemang.kandwal@clidey.com](mailto:hemang.kandwal@clidey.com), [anguel.hristozov@clidey.com](mailto:anguel.hristozov@clidey.com), or\n\nhttps://calendly.com/clidey/conversation-with-clidey-15-min - if there’s a time that you’d like to speak but it shows as unavailable, please just message us!\n\nIf you owned documentation or know someone who owns it now, we would love to get a warm introduction.\n\nLet’s make documentation an asset—not a chore.\n\nThat’s our fish! 👇\n\n![uploaded image](/media/?type=post&id=90620&key=user_uploads/1558575/afe2507e-ada5-46a5-b9f8-93eb3ab48a36)\n\n",
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        "equity_range": "0.10% - 0.25%",
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        "title": "🦾 Kaizen - Instantly integrate into websites without APIs",
        "tagline": "Use Kaizen to deploy browser automation in minutes, instead of weeks. ",
        "body": "The purpose of software is fundamentally changing, from platforms that track your work, to agents that complete work on your behalf. We’re building [Kaizen](https://www.kaizenautomation.com/), the platform for building software that does work on the web.\\\n\\\nHey y’all! We’re [Ken](https://www.linkedin.com/in/ken-acquah-45b397123/) & [Michael](https://www.linkedin.com/in/michael-silver-853952129/) — the founders of Kaizen!\n\n**📚 TL;DR**\n\nWith Kaizen, developers can integrate with any web application **in minutes, instead of weeks**. **Leading AI companies** use Kaizen to read and write from legacy portals in **logistics**, **healthcare**, and **financial services**.\n\n[Launch Video](https://youtu.be/flw30r5vWyk)\n\n### 🔗 **The Integration Problem**\n\nIn most industries, **the biggest bottleneck to automation is integration**. In these sectors, operators will interface with hundreds of web applications: between systems of records, customer portals, and proprietary internal software. **Building integrations across all these systems was previously impossible, leaving much of the economy mired in repetitive, manual workflows.**\n\nFor software vendors in these industries, this pain is most acute. Long integration times **stall customer onboarding, halt product velocity, and strictly bound the value they can provide to customers**. Startups are forced to choose between severe limits to feature capabilities and staffing large internal “integration” teams.\n\nAs AI agents rapidly scale, **this problem only gets worse**. Tools like voice agents, AI scribes, or procurement copilots are ready to work _on behalf_ of users but are stopped in their tracks by authenticated websites without UIs.\n\n### **🥁Introducing: Kaizen**\n\n**💻 How does it work?**\\\nWithin [Kaizen](https://www.kaizenautomation.com/), developers construct a set of “blocks” describing your automation. We leverage computer use models to create deterministic automations for any website.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf7WyATvregN5i_3XfB-drcta62yQeAn6vSWWJFjJAxwd63FfPN31VNK7TgUfE_mopwAAPx88yzyvzLBeo7T_kn0vSdFb1RS1UFiYi_0KGDekc8sz0OWS1ZvQwtBh8-PoIXRymocA?key=_Ybxg5buJr7nan_b4Td9Og)\n\nKaizen exposes a powerful [API](https://docs.kaizenautomation.com/api-reference/workflows/execute-a-workflow), developers can use to programmatically trigger automations. With Kaizen, your application can automatically complete forms, retrieve critical business data, and execute end-to-end processes on behalf of your users.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfCeKs_JBambiElHCLRdIe5484RmX7rSfb1epyQBw-104cm3oWotpzWofcQvJrqx_CfBglkynZmrphexWRcg2zPdOlB2hA5Oe0I1mbN1or9fjAx6sY7nptmsCbiM5OcQplJGwE-9Q?key=_Ybxg5buJr7nan_b4Td9Og)\n\n**🕵️ Who’s it for?**\\\nKaizen helps engineering teams in traditional industries (logistics, financial services, healthcare, insurance) accelerate their integration roadmap. Use cases we enable include:\n\n* Logistics agents that automatically bid across hundreds of shipper boards.\n* RCM automation software that dynamically completes forms for hundreds of payer portals.\n* Tech-enabled lenders that leverage data from thousands of municipal, county, and state government websites.\n* and many, many, more…\n\n**🤔 Why Kaizen?**\n\n2025 will be the year of browser agents, and Kaizen is the best platform for you to launch your own.\n\n* **Reliable, fast workflows:** Customers come to us after trying computer use agents that can’t reliably log in to a legacy portal. Kaizen caches each action it takes to ensure workflows run fast and reliably.\n* **We handle the plumbing:** Kaizen automatically handles browser session management, 2FA authentication, and anti-bot measures. To launch your first workflow, you simply need to describe it in English.\n* **For developers, by developers:** Most solutions in this space are rigid and brittle, making it hard for developers to fully own their automations. Kaizen is [API-first](https://docs.kaizenautomation.com/api-reference/workflows/execute-a-workflow) and supports arbitrary code snippets, giving product builders maximum flexibility.\n\n### 👥 **The Team**\n\n![uploaded image](/media/?type=post&id=90644&key=user_uploads/539074/ea8aec2e-463b-4cc7-a1af-464f5a9a519a)\n\nWe met six years ago at MIT, hacking on zero-knowledge proofs and image generation algorithms. Since then, Ken’s led automation teams in the freight industry, building LLM-powered browser workflows across a maze of portals. Michael spent six years at MIT CSAIL researching web-scale information retrieval, then developed deep infrastructure expertise at [Meta](https://www.meta.com/) and [Gather](https://www.gather.town/).\n\nWe’ve lived through the pain of manually stitching together web automations—and we’re building Kaizen to ensure no engineering team experiences that again.\n\n### 🙏🏼 **Our Ask**\n\nWe’re looking to onboard more engineering teams across **financial services**, **healthcare**, and **logistics** and would really appreciate your help. If you or someone you know is struggling to automate work on websites without APIs, send them to [kaizenautomation.com](http://kaizenautomation.com).",
        "url": "https://www.ycombinator.com/launches/Na0-kaizen-instantly-integrate-into-websites-without-apis",
        "votes": 32,
        "created_at": "2025-05-22T14:51:56.561Z"
      }
    ]
  },
  {
    "id": 30472,
    "name": "Ticket Wallet",
    "slug": "ticket-wallet",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be0803fb251795884ec20acb31fdcd0062d64afb.png",
    "website": "https://www.ticketwallet.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Ticket Wallet is an AI-powered resale platform for season ticket holders and brokers.\r\nWe automate pricing, listing, and distribution across all major marketplaces.\r\n\r\nToday, most tickets are still sold manually: spreadsheets, guessing prices, and listing on one site at a time. The biggest brokers outsource pricing to teams in the Philippines… \r\n\r\nWe built Ticket Wallet because we lived this. Truman has been flipping tickets for the last 5 years. Ryan built pricing software after seeing the mess first-hand. We’ve turned that pain into a product.\r\n\r\nSince launch, we’ve onboarded $3M+ in ticket inventory, signed up 100+ paying sellers, and started working with pro teams. We charge 10% per ticket sold. This is our wedge into the $26B resale market.\r\n\r\nOther platforms cost you money. We make you more of it.",
    "one_liner": "AI-optimized ticket resale",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747795833,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "The company began when Truman became frustrated after having to sell his grandfather’s Miami Heat season tickets while in college. Realizing that the tickets were extremely profitable but a pain to price, upload, and sell, Truman reached out to his classmate Ryan, and together they started to build the solution: Ticket Wallet. "
      }
    ],
    "url": "https://www.ycombinator.com/companies/ticket-wallet",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/ticket-wallet.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ticket-wallet",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be0803fb251795884ec20acb31fdcd0062d64afb.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1432958,
        "full_name": "Truman Gelnovatch",
        "title": "Founder/CEO",
        "founder_bio": "Founder @ Ticket Wallet & Princeton Alum. \nI've been flipping tickets for the last 5 years. Now I make way more doing it on Ticket Wallet. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/truman-gelnovatch-52442218a/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f30e26a889760d5563d6bc6688a1ef41c48aef0.jpg"
      },
      {
        "user_id": 1450850,
        "full_name": "Ryan Clare",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder of Ticket Wallet \n\nI studied computer science with a focus on machine learning at Princeton and was always looking for a good startup idea. When I found out how manual, time consuming, and difficult selling tickets was I knew there was a serious opportunity to apply AI to this problem.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ryan-clare-782299196",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a6d33b143a2cd2ba8fd563a6872440925cb6ccf.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 90664,
        "title": "Ticket Wallet - AI-Powered Ticket Resale",
        "tagline": "Automated pricing, listing, and distribution across all major ticket marketplaces..",
        "body": "🎟️ **TL;DR**\\\n**Selling tickets sucks…** We’re building Ticket Wallet - an **AI-powered resale platform** **for ticket brokers.** We automate pricing, listing, and distribution across all major marketplaces. \n\nWe do everything you just press sell.\\\n\\\n(**P.S.** If you have season tickets and need help selling, message us!)\n\n[https://www.youtube.com/watch?v=a_Z4VG8kJJ4](https://youtu.be/a_Z4VG8kJJ4)\n\n🌐 **The Origin Story**\\\nRyan and I (Truman) met on the Princeton Men’s Soccer team and have been best friends for nearly 8 years. He studied computer science with a focus on AI/ML, and I studied econ. Ryan could build, I could sell - we just needed something to work on.\n\nWe finally got the chance our senior year when we tried selling our own season tickets.\n\nIt was terrible. The process was manual, time-consuming, and completely outdated. That pain quickly turned into an obsession. \n\n💥 **The Problem We’re Solving**\\\nIt's really difficult to sell tickets, especially if you have a lot of them. Brokers are the **power sellers** of the industry, often moving **$10M+** in ticket volume annually. Yet they are stuck using spreadsheets, updating prices manually, and listing tickets on one site at a time. You can think of it like day trading on the stock market 10+ years ago. Even crazier, the biggest brokers are hiring pricing teams in the Philippines…\n\nIt’s 2025. We have self-driving cars but ticket sellers are still updating rows in Excel and refreshing StubHub?\n\n🔨 **What We’re Building**\\\nTicket Wallet is the first **AI-powered selling system for ticket brokers.** We price, list, and manage their tickets across all the major marketplaces (Ticketmaster, StubHub, SeatGeek, Vivid Seats, Gametime, Tickpick, AXS, etc...) Sellers **just press “list”** and we handle the rest.\n\nSince launching, we’ve onboarded over **$3M in ticket inventory**, **100+ paying sellers**, and we’re **starting to work with pro sports teams**. We charge 10% of every ticket sold.\n\nTicket brokers using Ticket Wallet have seen a **27% increase in revenue**  per ticket sold. We run their entire business \n\nThe market for ticket brokers in the US is **$26.3B.**\n\n**🔑 Key Features:**\n\n* AI pricing that updates 24/7\n* Listings pushed everywhere automatically \n* Central dashboard to manage inventory \n* Analytics to track progress and sales\n* Zero manual work\n* Website and mobile application\n\nIt’s like giving sellers superpowers - or at least their weekends back.\n\n**🧿 What We’re Looking For:**\n\n* Feedback from anyone selling tickets (or trying to!)\n* Warm intros to pro teams, ticket brokers, or season ticket holders\n* YC Alum with sports/entertainment connections or partnerships we should explore\n* Download our mobile app on iOS (Ticket Wallet):\n\nhttps://apps.apple.com/us/app/ticket-wallet/id6463562809\n\n**🔋 Other Marketplaces Cost Money. We Make You More.**\n\nTruman & Ryan\\\n(Ticket Wallet, YC X25)",
        "url": "https://www.ycombinator.com/launches/NaK-ticket-wallet-ai-powered-ticket-resale",
        "votes": 23,
        "created_at": "2025-05-23T16:36:42.310Z"
      }
    ]
  },
  {
    "id": 30474,
    "name": "RunRL",
    "slug": "runrl",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/97a1186ade1980432028fbe0af8cf6b4d804a4cb.png",
    "website": "https://runrl.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "RunRL improves LLMs and AI agents with reinforcement learning. Do you have a model that needs to get better at a certain task? Are you tired of messing around with prompts? Do you spend a lot of money on observability, and wish that all this data could let your model self-improve? Well, head on over to RunRL.com, and see what we have to offer! If you give us a model, a prompt, and a reward, we’ll make your model’s reward go up.",
    "one_liner": "Reinforcement learning as a service",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1743582739,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/runrl",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/runrl.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/runrl/",
    "x_url": "https://twitter.com/runrl_com",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/runrl",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/97a1186ade1980432028fbe0af8cf6b4d804a4cb.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1161067,
        "full_name": "Andrew Gritsevskiy",
        "title": "Founder",
        "founder_bio": ":')",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/agritsevskiy",
        "x_url": "https://twitter.com/dyushag",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/081a59834d2cc3d6380dbbc8ef06078eee3ff570.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 90475,
        "title": "RunRL: Improve LLMs and agents with reinforcement learning.",
        "tagline": "Make AIs that know how to do their jobs",
        "body": "Hi! We’re Derik and Andrew, and we’re building RunRL: the platform that lets you run reinforcement learning on your AI.\n\nWe used to run an AI research lab together, and Andrew dropped out from his RL PhD to provide you the greatest reinforcement learning experience possible.\n\nhttps://www.youtube.com/watch?v=rPP5YNMA4GE\n\n# The problem\n\nFor a generic LLM agent, every day is like the first day on the job. Tools and tasks need exhaustive explanations. Even still, agents are too unreliable for deployment.\n\n# Our fix\n\nRL fine-tuning produces specialist models that intuitively know what to do. It uses the algorithms that produced DeepSeek R1, but customized for your use case.\n\nSimply give us a reward function that tells us what’s good and what’s bad—and we’ll make your model improve.\n\n### Example 1: chemistry\n\nYou’re trying to make a model that generates potential drug candidates for COVID. You want them to bind as tightly to the active site of Sars-CoV-2 protease as possible, but using Claude+thinking+web-search only gets you a binding performance of 22. Making a better model is as simple as defining the reward to be the binding performance of the model’s outputs:\n\n```\ndef reward(output):\n    molecule = parse_SMILES(output)\n\n    if valid_molecule(output):\n    return binding_performance(output)\nelse:\n    return -1\n```\n\nloading it up on [RunRL.com](http://RunRL.com), and hitting run:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdybuN1eu2Y3fSZi4m9Wc9YR4a-YYACWTt_jxx611-UVsNZ_G-UriMLuSW0JDalz65ixrgYYEIQcc8p1ni8bz2RpLp1HZcX0YIfTVfa1mE-TqFNL787gI94VNHHfcIy4mVoFxlqKQ?key=Wlf0KwcYIPK-rxwiB_U0-Q)\n\nSo, a model 175x smaller than Claude learns to outperform the frontier models!\n\n### Example 2: agents\n\nYou have an OpenAI or Anthropic-based agent, but it’s not as reliable as you’d like it to be. Maybe your agent already does what you want most of the time, but isn’t consistent enough to be trusted in production. RL can help with that too: it reinforces good behavior and makes your agent better at rule-following, information extraction, and document navigation in high-stakes environments. Join our beta [here](https://www.runrl.com/products/agentflow/)!\n\n# Run RL!\n\nIf you’re using AI and you want your model to be better, and you have a way of describing what “better” is: you’re ready to [run RL](https://runrl.com).\n\n![uploaded image](/media/?type=post&id=90475&key=user_uploads/1161067/2e061652-2c07-473b-a95d-8fb07cdc36cd)\n\n",
        "url": "https://www.ycombinator.com/launches/NXH-runrl-improve-llms-and-agents-with-reinforcement-learning",
        "votes": 40,
        "created_at": "2025-05-16T17:42:48.054Z"
      }
    ]
  },
  {
    "id": 30475,
    "name": "Morphik",
    "slug": "morphik",
    "former_names": [
      "DataBridge"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a260c523f9c222814023a16c76c6a2b22616cd5.png",
    "website": "https://morphik.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Morphik helps Skilled Nursing and Senior Living organizations increase their NOI by automating repetitive manual tasks like AP, billing and collections, nurse admin work. ",
    "one_liner": "AI workers for Skilled Nursing and Senior Living Operations",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1745265466,
    "tags": [
      "B2B",
      "Healthcare",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/morphik",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/morphik.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/morphik/",
    "x_url": "https://x.com/morphik_ai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/morphik",
    "github_url": "https://github.com/morphik-org/morphik-core",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a260c523f9c222814023a16c76c6a2b22616cd5.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 512728,
        "full_name": "Adityavardhan Agrawal",
        "title": "Founder",
        "founder_bio": "Building Morphik. Prev @MongoDB, worked on scalable database algorithms. Graduated Cornell University in 2022.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adityav369/",
        "x_url": "https://x.com/Adityav369",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb9aa838ef8d3371e7208f80f13f7a889065f40c.jpg"
      },
      {
        "user_id": 2039569,
        "full_name": "Arnav Agrawal",
        "title": "Founder",
        "founder_bio": "I was one of 3 students in all of India to receive the Tata Scholarship, which allowed me to study Computer Science at Cornell. I dropped out to build Morphik after experiencing terrible RAG and enterprise search first-hand during my co-op at Amazon Robotics. While there, I developed a configuration compiler that sped-up deployment of the Sparrow and Cardinal stations to new locations. \n\nI also developed and taught a course in ML Operations and AI as an undergrad at Cornell.   ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arnavagrawal03/",
        "x_url": "https://x.com/ArnavAgrawal03",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e61e95fdbc649a908333c2c39f4346205924ec7.jpg"
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    ],
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    "launches": [
      {
        "id": 90212,
        "title": "Morphik: Open‑source multimodal RAG that works on technical docs",
        "tagline": "Turn your complex private data into grounded answers",
        "body": "Hey YC! 👋 We’re Adi and Arnav, co-founders of Morphik (https://morphik.ai).\n\n### **TL;DR**\n\n* **Problem:** Knowledge workers spend a lot of their time searching complex documentation with diagrams, tables, or spreadsheets, just to find relevant information. Text‑only RAG misses details, hallucinates, and provides half-baked responses.\n* **Solution:** Morphik embeds whole pages (image + text, no OCR), auto‑builds a knowledge graph, and serves it through a UI, SDK, or REST API. We have 90 % accuracy on arXiv QA (and we can fine-tune for your use case 🙂).\n\nWatch our demo video: https://www.youtube.com/watch?v=3adZQhm5JZY\n\n### **Problem**\n\nRAG breaks the moment documents stop being blobs of text.\n\n* Knowledge workers spend a lot of their time (people we spoke with said 50-70% time just in the research phase). eg. electrical engineers finding perfect PCB spec, pharma companies trying to search ELNs for similar experiments.\n* 80% of enterprise knowledge lives in diagrams, tables, images, CAD, scanned pdfs, not .txt.\n* “Multimodal” models still hallucinate or miss key context because the retrieval step sees only text, or they rely on tools to retrieve diagrams, or context. (https://docs.morphik.ai/blogs/gpt-vs-morphik-multimodal)\n* Teams glue together OCR, vector DBs, and regex‑heavy ETL that becomes a brittle monstrosity.\n\n### **Solution**\n\nDirectly embedding and search over page images\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdzvQJeEBmnvZI1Mkl2ZYCtsN0AG4Mx5JpcN4RtivMfndGshgTkj1uZcb8BkFAkXXNCpg9TPqeIKsqCXscaLzGDNO2e8TFn8naJPkJ_XtceDHlwNrAAcV69QGYlzSOwvdofI7FksQ?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nWhen you ingest in Morphik, in addition to OCR, we create direct embeddings for the image of a page (or frames in a video). When you ask “Colpali comparison to standard RAG”, the LLM sees the actual page image, so multimodal models can reason over arrows, labels, scales, and colours just like a human.\n\n### **Rules Engine**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcOXXa3wTpZV26zi8kaucVOt2QuUgKKfrdvlyqlFfeHmDUudWpNaS-r6KNm5--4Joz4rE5tsiu_NDqlHnRE914l7ad4YtKRRLc_X1gm7BteBR0aMN446aia7LGA1l7b2UJMor97?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nWhen ingesting, you can define rules for data extraction (which would again consider tables, diagrams), or define natural language rules for PII redaction, or content transformation.\n\n### **Deployment ready, scalable**\n\nMorphik comes built in with folder scoping, end user scoping, GPU accelerations, and fine grained permissions, so you can prototype and deploy with enterprise grade features. It’s end‑to‑end, so you don’t scramble to make duct tape fixes.\n\n### **One more thing…Morphik Research Agent**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcL9LvkrH861vRDhuFlYlBy0LsjlhMOYVBLRLdnj903G5L3QMgx12ziGZJhO_h2SzAakjD27e0Yeu4XZwmsE4Yv1BGNRj-OGc41i798xy_UW9MVHISzJy0GBrTsOWWqWBGdtGKhmg?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nOur research agent uses Morphik’s retrieval, graph, and extraction APIs as tools. It chains them automatically, jumping from doc to doc, node to node, seeing figures, till it finds the needle in the haystack, or has enough context to answer your questions. “Describe the third pin on the USBC21 diagram” will get the diagram, find the pin, jump to the table with pin descriptions, jump to page 13 to “find more details on page 13”.\n\n### **Why we might be interesting to you**\n\n* Building an internal ChatGPT over messy manuals? Morphik is the fastest way to ship something users _trust_.\n* Developing an AI product? Swap your vector‑DB‑plus‑duct‑tape stack for a single SDK call.\n* Researching graph‑RAG? CAG? We have it all.\n\n### **Our Ask 🙏**\n\n1. **⭐ Star / watch** https://github.com/morphik-org/morphik-core – open source momentum matters.\n2. **Introductions** to teams drowning in technical docs (healthcare, manufacturing, legal, electrical engineers).\n3. Tell us **what still hurts in your RAG stack**, comment, **DM, or email** [founders@morphik.ai](mailto:founders@morphik.ai) or [book a call](https://cal.com/adityavardhan-agrawal-x6jyhq/30min).\n\nThanks for reading!\n\nAdi & Arnav",
        "url": "https://www.ycombinator.com/launches/NT2-morphik-open-source-multimodal-rag-that-works-on-technical-docs",
        "votes": 71,
        "created_at": "2025-05-09T14:13:45.820Z"
      }
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    "id": 30476,
    "name": "Nomi",
    "slug": "nomi",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd11dae7a652bf143efed034d199e59b84ab4b90.png",
    "website": "https://www.nomi.so",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Nomi.so provides on-the-spot phrase suggestions, intelligently crafted from your transcribed sales calls and a custom playbook that adapts and grows with you, from founder-led sales to revops mastery. \r\n\r\nPS: We also increase closing rates by 12% on average and free up your sales team's mental energy. ",
    "one_liner": "Realtime Sales Copilot",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1747841477,
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      "Sales",
      "Sales Enablement",
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    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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      "Sales"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/nomi",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nomi.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nomihq/",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/nomi-ece5",
    "github_url": "https://github.com/nomihq",
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    "founders": [
      {
        "user_id": 1764640,
        "full_name": "Swan Beaujard",
        "title": "Founder/CTO",
        "founder_bio": "Founder @ Nomi, +🦢",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nullswan/",
        "x_url": "https://x.com/nullswan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5deb370c349375e967d08244ce6793b10f13ffe.jpg"
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    "launches": [
      {
        "id": 90601,
        "title": "Nomi - Copilot for Sales",
        "tagline": "Realtime sales copilot giving on-the-spot phrase suggestions during calls.",
        "body": "Stop guessing on sales calls. Know exactly what to say.\n\n**TL;DR:** Nomi gives you real-time sales advice during calls. See what to say, what to ask, and how to close. Plus free AI note-taking forever.\n\n### The Problem\n\nYou're on a sales call. The prospect asks a tough question. You freeze. Or worse, you ramble.\n\nThey ask about your API limits. You're not sure. They push back on pricing. You cave too early. They want a technical deep-dive. You lose the room.\n\nLook, everyone has off days. But here's the thing - AI is everywhere now. So why are you still making these preventable mistakes?\n\nEven when calls feel great, deals die the next day. Why? Because you missed the key moment to close.\n\n## Meet Nomi: Real-Time Sales Copilot\n\nNomi listens to your calls and shows you exactly what to say. Right on your screen. As you talk.\n\n* See the perfect response to any objection\n* Get instant questions that move deals forward\n* Know the exact moment to ask for the close\n\nOne customer went from **$100K to $360K** in two weeks using Nomi. He had the pipeline, we had the sales fuel.\n\nPS: Nomi is always learning. We use reinforcement learning and gradient boosting techniques to continuously improve your sales playbook and your custom model.\n\n## Free AI Note-Taker Included\n\nForget paying $50/month for meeting bots. You get:\n\n* Unlimited recordings and transcripts\n* Smart summaries sent after each call\n* Calendar sync - it joins automatically\n* Auto-builds your sales playbook from winning calls\n* Fills your CRM automatically after each meeting\n* Built with [Recall.ai](http://Recall.ai) (YC W20) infrastructure\n\nAll free. Forever. Not a trial.\n\n## Enterprise Ready\n\nYour data is safe. Security provided by [Probo](https://getprobo.com) (YC X25). SOC II, GDPR ready, and CCPA ready.\n\n## Start Today\n\nReady to get more deals done?\n\n* **Sign up at**: [https://app.nomi.so/](https://app.heynomi.com/register)\n* **Email us**: [founders@nomi.](mailto:founders@heynomi.com)so\n* **Text us**: +1 (415) 235-5978\n\n---\n\n—\n\n---\n\n_Your job is to get deals done. Our job is to make it easy._\\\n\\\n_@Swan Beaujard_\\\n_@Ethan Safar_\n\n![uploaded image](/media/?type=post&id=90601&key=user_uploads/2099666/a03b4012-a03c-456b-875c-5fc1558466f1)\n\n",
        "url": "https://www.ycombinator.com/launches/NZJ-nomi-copilot-for-sales",
        "votes": 2018,
        "created_at": "2025-05-22T14:26:47.051Z"
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    "name": "Casco",
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    "website": "https://casco.com",
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    "long_description": "Casco performs autonomous security testing for your web apps, APIs, infrastructure, and AI systems. Human supervision optionally available. Use Casco for year-round security and get a penetration test report for your SOC2 and ISO27001 compliance certifications. \r\n\r\nTrusted by 100+ companies from enterprises to fast-moving startups, such as Gusto, CrewAI, Novig, and Accrual.\r\n\r\nHack yourself at: https://casco.com\r\n\r\n---\r\n\r\nWe already secure software deployed in 60% of Fortune 500 companies and are default alive. [1]\r\n\r\n[1] http://www.paulgraham.com/aord.html",
    "one_liner": "Autonomous security testing for web apps, APIs, cloud, and AI systems",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1747691019,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/casco",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/casco.json",
    "year_founded": 2025,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/getcasco",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1365365,
        "full_name": "Rene Brandel",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Casco. We hack software before bad actors do.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/renebrandel",
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        "full_name": "Ian Saultz",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO of Casco",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/iansaultz/",
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    "jobs": [
      {
        "id": 79769,
        "title": "Offensive Security Engineer",
        "url": "https://www.ycombinator.com/companies/casco/jobs/LhiAAHO-offensive-security-engineer",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "3+ years",
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        "id": 81752,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/casco/jobs/EGFscZJ-software-engineer",
        "location": "San Francisco, CA, US / Seattle, WA, US / Remote (US)",
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        "salary_range": "$200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
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        "skills": [
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        "title": "Growth Engineer",
        "url": "https://www.ycombinator.com/companies/casco/jobs/ZfbpM3O-growth-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
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        "equity_range": "0.01% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "Technical Account Executive",
        "url": "https://www.ycombinator.com/companies/casco/jobs/tO2wVfO-technical-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$350K",
        "equity_range": "0.01% - 0.10%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Software Security"
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      },
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        "id": 103943,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/casco/jobs/Vy9JSfH-product-engineer",
        "location": "San Francisco, CA, US",
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        "skills": [
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      },
      {
        "id": 104828,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/casco/jobs/vhGzMBB-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K",
        "equity_range": "0.01% - 0.05%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 90632,
        "title": "Casco - Agentic Red Teaming for AI agents and apps",
        "tagline": "Secure AI agents and apps",
        "body": "Hi everyone - we’re Rene and Ian, ex-AWS AI & Security, and we’re thrilled to introduce [Casco](https://casco.com)! Casco prevents AI agents and apps from messing up by evaluating them for security, safety, and accuracy.\n\nCasco already secures AI systems deployed in 60% of Fortune 500 companies.\n\nhttps://youtu.be/SWPnB-GADdE\n\n**The Problem** \n\nCompanies building AI agents and apps face a disproportionate amount of cybersecurity threats that put their business at risk. 73% of enterprises experienced at least one AI-related security incident (that they know of) in the past 12 months, with the average incident cost amounting to $4.8m. It takes 40% longer for companies to identify and address these AI-related incidents.\n\nExisting solutions do not work for these companies:\n\n1. Automated scans yield low-quality, noisy security findings.\n2. Thorough security evaluations are cost-prohibitive to most companies.\n3. New AI attack vectors are emerging faster than companies can adapt.\n\n**Our Solution: Casco’s supervised, agentic red-teaming**\n\nCasco proactively uncovers critical vulnerabilities before attackers do. Here’s how:\n\n1. **Sophisticated, AI-Driven Attack Simulation:** Casco uses advanced techniques, just like an expert human red teamer, to devise and execute multi-step attacks against your AI agents and apps.\n2. **Human-Validated Expertise:** The AI evaluations are supervised and validated by our team, ensuring high-fidelity findings. We’ve built and secured AI systems, applications, and cloud infrastructure at AWS, Microsoft, and the US government.\n3. **Actionable, Compliance-Ready Reports:** Casco provides comprehensive reports with reproduction steps, risk explanations, and remediation guidance, aiding compliance with SOC 2, NIST AI RMF, EU AI Act, and ISO 27001.\n\n**Our Story**\n\nAs founding members of the Generative AI team at AWS (Lead Engineer + Security, Head of Product), we witnessed the evolving landscape of AI agents and applications. We identified emerging security gaps as traditional security practices struggled to keep pace with this new paradigm.\n\nRecognizing the critical need to secure AI systems, we decided to build Casco. Our mission is to empower builders to innovate confidently, knowing their AI systems are secure.\n\n**Secure your AI agent and apps**\n\nIs your AI agent or app secure?\n\n* [**Book a Demo**](https://calendar.app.google/LZybyH27Pd4ScXPk6) to secure your AI systems",
        "url": "https://www.ycombinator.com/launches/NZo-casco-agentic-red-teaming-for-ai-agents-and-apps",
        "votes": 122,
        "created_at": "2025-05-22T15:09:00.327Z"
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  },
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    "id": 30479,
    "name": "Crimson",
    "slug": "crimson",
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    "website": "https://crimson.law",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Crimson is the case intelligence platform for complex litigation. We help litigators build a complete picture of each case – every argument, entity and event understood in context – and support them with analysis, drafting and case management across the lifecycle of the dispute.",
    "one_liner": "The AI Associate for Litigation Lawyers",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1746120512,
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    "batch": "Spring 2025",
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/crimson.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/106218761/",
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      "name": "David Lieb",
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    "founders": [
      {
        "user_id": 2365297,
        "full_name": "Mark Feldner",
        "title": "Founder/CEO",
        "founder_bio": "Former BigLaw litigator, now automating some of the most common tasks in high-stakes litigation. Crimson is the first AI platform purpose-built for complex disputes.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mark-feldner/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96b730e4dd6d31c08f418e6b69a77c97dd447ba5.jpg"
      },
      {
        "user_id": 1769038,
        "full_name": "David Strömbäck",
        "title": "Founder/CTO",
        "founder_bio": "Building AI for complex disputes.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/davidstromback/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23588a2b9e6ac4775ce6122b92ae4de77b9d27de.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "YC-Backed Crimson Raises Oversubscribed $2.5M Seed Round to Bring Case Intelligence to Litigation",
        "url": "https://www.lawfuel.com/legal-ai-news-yc-backed-crimson-raises-oversubscribed-2-5m-seed-round-to-bring-case-intelligence-to-litigation/",
        "date": "May 29, 2026"
      },
      {
        "title": "AI litigation legaltech start-up Crimson raises $2.5m in seed funding round - The Global Legal Post",
        "url": "https://www.globallegalpost.com/news/ai-litigation-legaltech-start-up-crimson-raises-25m-in-seed-funding-round-1123576627",
        "date": "May 27, 2026"
      },
      {
        "title": "Litigation AI startup founded by former City lawyer raises $2.5m",
        "url": "https://www.nonbillable.co.uk/news/litigation-ai-startup-founded-city-lawyer-crimson-fundraise-mark-feldner",
        "date": "May 27, 2026"
      },
      {
        "title": "Litigation Platform Crimson Announces $2.5M Seed Round, New York Office | Law.com",
        "url": "https://www.law.com/legaltechnews/2026/05/28/litigation-platform-crimson-announces-25m-seed-round-new-york-office-/",
        "date": "May 27, 2026"
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      {
        "title": "Crimson litigation AI playbook: From task-level tools to matter-wide intelligence - Legal IT Insider",
        "url": "https://legaltechnology.com/crimson-litigation-ai-playbook-from-task-level-tools-to-matter-wide-intelligence/",
        "date": "Jan 08, 2026"
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        "id": 90879,
        "title": "Crimson: The AI Associate for Litigation Lawyers",
        "tagline": "Analyze case files, find key evidence and draft legal documents in seconds",
        "body": "Hi everyone! We’re [Amine](https://www.linkedin.com/in/amine-amor-4a7a42135/), [David ](https://www.linkedin.com/in/davidstromback/)and [Mark](https://www.linkedin.com/in/mark-feldner/), and we’re building Crimson - the AI associate for litigation lawyers.\n\n**TL;DR**\n\nLitigators deal with thousands of case files, often spanning several years. Crimson processes all that data and uses its understanding of each case to analyze legal arguments, locate evidence and draft documents.\n\n**Crimson saves litigation lawyers 10+ hours of manual work each week.**\n\n[Crimson Launch Video](https://www.youtube.com/watch?v=kSzn7CMqX5s)\n\n**The problem:** Litigation teams are drowning in case documents\n\n* Case files are scattered across Outlook, shared drives and document management systems.\n* Lawyers spend hours reviewing letters, emails, transcripts and evidence, identifying key issues, and drafting case-specific documents.\n* Existing AI tools aren’t built for litigation workflows.\n\n**The solution:** Crimson’s AI associate that knows each dispute inside-out\n\n* Crimson automatically organizes and analyzes case documents, extracts key legal issues, and identifies inconsistencies between party positions.\n* Lawyers can ask questions such as “What have the defendants said about termination?” and get answers with citations across pleadings, hearing transcripts, letters and other case files.\n* Crimson helps legal teams draft arguments, chronologies and letters with content tailored to each case.\n\n**Why are we building this?**\n\n* Mark spent seven years as a litigator at leading law firms. He lost countless hours trawling through case files, searching for evidence and manually drafting documents.\n* With recent advances in reasoning models, we can now build an AI associate that understands the nuances of complex legal arguments.\n* Horizontal AI tools will only go so far. To unlock real value, lawyers need a context-aware platform that is tailored for litigation workflows. Crimson is that tool.\n\n![uploaded image](/media/?type=post&id=90879&key=user_uploads/2365297/767fac65-ca2a-4160-8d74-3911b6a64832)\n\nWant to see Crimson in action? Book a demo here: [crimson.law](https://crimson.law).\n\nYou can reach us at [founders@crimson.law](mailto:founders@crimson.law).",
        "url": "https://www.ycombinator.com/launches/Ndn-crimson-the-ai-associate-for-litigation-lawyers",
        "votes": 42,
        "created_at": "2025-05-30T14:05:41.366Z"
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    "id": 30480,
    "name": "Flott HQ",
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    "website": "https://www.flotthq.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Flott helps transport and logistics companies run leaner, smarter, and more profitable operations. Flott unifies everything transport and logistics teams need in a single, AI-powered control center—bringing planning, live tracking (gps, fuel, etc), invoicing, and payments into one place and delivering true end-to-end visibility. Flott’s AI agents act as an extension of fleet managers — automating repetitive tasks and optimizing workflows.This lets companies focus on what truly matters: growing the business.",
    "one_liner": "AI-native operating system for vehicle fleet management",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1746507069,
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      "Operations",
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    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/flott-hq",
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      "name": "Nicolas Dessaigne",
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        "full_name": "Sylvanus MAHE",
        "title": "Founder/CEO",
        "founder_bio": "Buiding The AI that drives fleet management forward",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sylvanus-mahe",
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        "user_id": 2092587,
        "full_name": "Kanvaly Fadiga",
        "title": "Founder/CTO",
        "founder_bio": "Buiding The AI assistant that drives fleet management forward",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kanvaly-fadiga",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5cf0d081879c89737bf7d126b8cff8b5cd8606c8.jpg"
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    "launches": [
      {
        "id": 90763,
        "title": "Flott HQ - AI-native Operating System for Fleet Management",
        "tagline": "All your fleet data in one place, with AI agents handling the busywork",
        "body": "# **TL;DR**\n\nFlott helps transport and logistics companies run leaner, smarter, and **more profitable operations.**\n\n**Flott unifies everything transport and logistics teams need in a single, AI-powered control center** — connecting operational data (planning, gps, fuel, etc.) and financial data (revenue, customers, orders) in one place to deliver true end-to-end visibility. Flott’s AI agents act as an extension of fleet managers, automating repetitive tasks and optimizing workflows. This enables companies to focus on what truly matters: growing the business.\n\nhttps://youtu.be/P6UUBwV7kVk\n\n**🚨 The Problem**\n\n**Fleet operations today are burdened by complexity, silos, and inefficiencies.**\n\nMost teams rely on a patchwork of disconnected tools, leading to:\n\n* Business owners **lacking clear end‑to‑end visibility**\n* **Manual workflows** and duplicated effort\n* **Endless back‑and‑forth** between dispatch, drivers, and admin\n* Delayed invoices, lost payments, and shrinking margins\n\nAs operations grow, so do the headaches — making it harder to scale without losing control. Many companies end up losing money without even realizing it, buried under operational inefficiencies and lack of visibility.\n\n**✅ The Solution**\n\nFlott unifies everything transport and logistics teams need into one AI‑powered control center.\n\n📆 **Planning**: AI-assisted planning and dispatch\n\n📍 **Live Tracking**: track your asset position but also resource consumption like fuel, mileage, driving hours…\n\n💸 **Invoicing & Payments**: Fast, automated billing and payment tracking — Dynamic and customizable pricing strategies\n\n👥 **Collaboration**: Collaborate within your team to get things done faster with the help of our **AI Agents**\n\n📊 **Insights**: Powerful analytics to reduce costs and increase efficiency — Track the KPIs that matter in real-time and get in-depth AI-based insights from operations to finance\n\n**Traction:** We are already at $200k ARR, growing 45% month over month, all of it through word of mouth.\n\n## **The Team**\n\nWe’re [**@Sylvanus MAHE**](https://www.linkedin.com/in/sylvanus-mahe) and [**@Kanvaly Fadiga**](https://www.linkedin.com/in/kanvaly-fadiga/), we are AI Engineers and ops specialists from McKinsey and Datadog. We’ve seen first-hand how fragmented tools drain margin and burn teams out when we launched our own car rental side business.\n\n### **🚀 Our Ask**\n\nWe’re onboarding logistics and mobility teams looking to unify their ops and grow faster. If you know anyone in fleet operations, transportation, trucking, or mobility in general — let’s talk.\n\n🌐 Website: [**https://www.flotthq.com**](https://www.flotthq.com)\n\n👉 Book a demo: [**https://cal.com/team/flott-hq/demo**](https://cal.com/team/flott-hq/demo)\n\n📬 Email us: [**founders@flotthq.com**](mailto:founders@flotthq.com)\\\nFollow us: [**Linkedin**](https://www.linkedin.com/company/flott-hq), [**X**](https://x.com/flott_hq)\n\n![uploaded image](/media/?type=post&id=90763&key=user_uploads/2092587/b1e79f7f-1f3a-42ba-9f73-9fbb07f7c6ba)\n\n",
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        "votes": 40,
        "created_at": "2025-05-27T15:37:08.170Z"
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    "name": "throxy",
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    "website": "https://throxy.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "throxy builds custom vertical AI agents and pairs them with human SDRs and ultra personalised email sequences to book meetings for B2B software companies selling into traditional industries (e.g. manufacturing, logistics, construction, supply chain)\r\n\r\nOutbound is broken. Generic automation gets ignored and decision-makers in legacy sectors are hard to reach. Most of your TAM isn't even on LinkedIn, and tools like Clay, Apollo, and ZoomInfo only cover about 65% of the market. throxy fixes this by running bespoke, fully managed outbound systems for software sales teams trying to crack these industries. We use proprietary scraping tools to map your entire addressable market, then combine AI agents with human experts to deliver hyper-personalised email campaigns and human cold calling that is consistently generating six-figure qualified pipelines.\r\n\r\nSince 2023, throxy has powered outbound for B2B software companies, from industrial SaaS to fintech providers, replacing the need for internal SDR teams or stacks of tools with a solution that outperforms on both speed and quality. Today, we have a team of 55 across London and Cape Town, booking on average 8 to 12 qualified meetings per month per client, with some clients seeing 20+ in their first weeks after we doubled down on human-led cold calling.\r\n\r\nAI handles the data: building custom databases, scoring leads against your ICP, and personalising outreach at scale. Humans handle the conversations: real cold calls, real emails, real relationships. That's the difference between us and every AI SDR on the market.\r\n\r\nOur founding team has built AI at JP Morgan, scaled businesses from age 14, and led enterprise sales from Seed to Series D. We're not just automating outbound, we're redefining what sales execution looks like for software companies selling into traditional industries.\r\n\r\nthroxy is the \"AI SDR\" purpose-built for the sectors software forgot.",
    "one_liner": "Vertical AI agents running B2B outbound on autopilot, with human SDRs",
    "team_size": 55,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1745521572,
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    "year_founded": 2023,
    "city": "London",
    "country": "GB",
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        "full_name": "Arnau Ayerbe Garcia",
        "title": "Founder/CEO",
        "founder_bio": "making it easier to speak with your ideal customers.\n\nno more repetitive manual outreach.\n\nthe future is human connections.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arnau-ayerbe",
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        "full_name": "Pablo Jimenez de Parga Ramos",
        "title": "Founder",
        "founder_bio": "we call your ideal customers so you can close more deals.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pjdepargar",
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        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/throxy/jobs/ncqidMq-sales-development-representative-sdr",
        "location": "Cape Town, WC, ZA / Cape Town, Western Cape, ZA / Johannesburg, GP, ZA / Johannesburg, Gauteng, ZA / Remote (ZA)",
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        "title": "Summer Intern",
        "url": "https://www.ycombinator.com/companies/throxy/jobs/bgsg88w-summer-intern",
        "location": "London, England, GB / Remote",
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        "id": 108617,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/throxy/jobs/BJ4GQ0I-software-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£70K - £120K GBP",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
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        "skills": [
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    "news": [
      {
        "title": "Base10-backed Throxy challenges AI sales giants with pay-per-meeting model",
        "url": "https://venturebeat.com/ai/base10-backed-throxy-challenges-ai-sales-giants-with-pay-per-meeting-model",
        "date": "Sep 04, 2025"
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      {
        "id": 90134,
        "title": "throxy | Book meetings without the busywork.",
        "tagline": "You want more meetings, but outbound? Total nightmare. We’ll fix it for you.",
        "body": "Hey everyone 👋 — we’re **Bergen**, **Pablo**, and **Arnau**, and we’re building **throxy**.\n\nHiring SDRs is expensive. Managing tools is a full-time job. Agencies spam your market and burn trust.\n\nWe started throxy in 2023 because we lived the chaos, and knew there had to be a better way.\n\n<https://www.youtube.com/watch?v=3q1Ud9V5GP8>\n\n### ❌ The Problem\n\n* Building an SDR team takes months, and burns $150K+ before you see results.\n* Tool stacks (Clay, Instantly, Apollo, etc.) require constant management and constantly break.\n* Most agencies rely on automation and generic messaging that _kills trust_.\n\nCompanies selling into legacy industries suffer most, where reaching the right decision-makers requires **trust, precision, and care**.\n\nIf you’ve sold into sectors like manufacturing, logistics, healthcare, or finance, you’ve felt it: **complex buyers, long sales cycles, and real consequences.**\n\nSpray-and-pray doesn’t work here.\n\n**We win where others fail — in industries where trust isn’t optional, and precision means pipeline.**\n\n### ✅ Why Throxy Wins\n\nWhere most AI sales tools generalise, **we specialise**.\n\nWe design, build, and run **fully-managed outbound systems, so you don’t have to** — combining AI-powered execution with human-level strategy.\n\nYou tell us your ICP and how many meetings you want. We handle the rest.\n\n* 🔍 **AI-powered research** to find real decision-makers — not just job titles\n* ✍️ **Hand-written** **messaging** with your buyer’s language — not templates\n* 🛠 **Deliverability stack**: domains, warmup, inboxes — all done for you\n* 🧠 **Human-led strategy** from operators who’ve sold in these sectors\n* 📅 **Qualified meetings**, delivered to your calendar — no tools, no SDRs, no micromanagement\n\nWe’re already generating **six figures in pipeline** for B2B companies selling into hard-to-crack industries like manufacturing, logistics, finance and healthcare. Built for founders, CEOs, CROs, and sales teams.\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/4da51dcd-3789-4946-af08-86ccf54ca594)\n\n### 💡 Why We're Building This\n\nWe believe outbound should be **automated, intelligent, and deeply humanised,** not a messy stack of disconnected tools and guesswork.\n\nSales teams should focus on building relationships and closing deals, not juggling tools, bloated teams or manual workflows.\n\n**throxy’s vision is a world where outbound is fully automated yet precisely human, freeing up human capital to think, connect, and close.**\n\n### 👋 Meet the Founders\n\n* **Bergen** built his first online business at 14 and brings operational execution at scale\n* **Pablo** ran enterprise sales from Seed to Series D, and knows how to break into tough markets\n* **Arnau** led early GPT-2 and BERT systems at JP Morgan and drives AI & product\n\n### 👇 Want to see what “done-for-you” outbound _actually_ looks like?\n\nWe’re live. We’re booking meetings.\n\nAnd we’re looking to partner with more companies targeting traditional industries.\n\nIf you're scaling outbound and are not getting results, let us run your outbound, so you can run your business.\n\n📬 [founders@throxy.com](mailto:founders@throxy.com) | 🌐 [throxy.com](https://throxy.com/?utm_source=ycombinator&utm_medium=post&utm_campaign=yc_launch&utm_id=yc_launch)\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/b5efeb76-2c0b-48ef-91c4-eeb1b4939e5f)\n\n",
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        "created_at": "2025-05-06T15:16:43.124Z"
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    "id": 30485,
    "name": "Anana",
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    "website": "https://getanana.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Anana is an AI workspace for hospitality commercial teams. It connects bookings, calls, chats, emails, market intelligence, and hotel knowledge so teams can see demand earlier, understand what is driving it, and take action in the tools they already use. Built for hotel groups and management companies, Anana gives revenue, sales, marketing, and operations teams one place to work from the same commercial context.",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Ricardo Pantaleon",
        "title": "Founder/CEO",
        "founder_bio": "Building Anana to transform the hospitality industry. ",
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        "full_name": "Alexandros Zisimidis",
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        "title": "Anana: AI Workspace for Hospitality Commercial Teams",
        "tagline": "Use the demand signals inside of guest interactions to drive more direct bookings.",
        "body": "**TL;DR**\\\nHotels rarely see what guests wanted before they booked or why they didn't book at all. Anana captures the demand signals buried inside calls, chats, and emails, completing the commercial picture with the intent and friction that transaction data misses.\\\n\\\n<https://youtu.be/OxO4FR-M7lI>\n\n## Problem\n\nHotels are good at measuring outcomes: bookings, revenue, channel mix, and occupancy.\n\nBut the signals that explain those outcomes are buried across thousands of guest interactions. A family asks about connecting rooms and books elsewhere. Early check-in questions suddenly double. A repeat guest mentions an anniversary.\n\nAt scale, these are commercial signals. They reveal where direct demand is breaking down, what guests repeatedly want, and where hotels can personalize, convert, or win guests back.\n\nMost hotels have no practical way to analyze this information at scale, so the insights disappear and their dependence on third-party distribution continues.\n\n## Solution\n\nAnana turns these signals into a commercial intelligence layer that hotels can analyze alongside booking and operational data.\n\nCommercial teams can see where direct demand is being lost, which guest needs and segments are emerging, and what is driving conversion. Anana then reuses that intelligence across workflows—from improving marketing and the direct booking experience to identifying revenue opportunities and personalizing a guest’s stay.\n\nEvery guest interaction becomes an input into the next commercial decision.\n\n## Our ask\n\nWe're looking to meet hotel owners, operators, and commercial leaders at multi-property hotel groups—particularly teams responsible for revenue, marketing, distribution, reservations, or commercial strategy.\\\n\\\nWant to see Anana in action? Book a demo [here](https://cal.com/ricardo.pantaleon/30min?overlayCalendar=true).\n\nThanks,\\\nRicardo and Alexandros\\\n\\\n[https://getanana.com](https://getanana.com/)\\\n\\\nContact: [ricardo@getanana.com](mailto:ricardo@getanana.com) or (917) 355-5643",
        "url": "https://www.ycombinator.com/launches/U8S-anana-ai-workspace-for-hospitality-commercial-teams",
        "votes": 55,
        "created_at": "2026-09-17T17:08:38.633Z"
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    "id": 30488,
    "name": "Theta",
    "slug": "theta",
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      "Handler AI",
      "Theta Software"
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    "all_locations": "San Francisco, CA, USA",
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    "team_size": 7,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/try-theta-software/",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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        "user_id": 537913,
        "full_name": "Rayan Garg",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder @ Theta",
        "is_active": true,
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        "user_id": 1027108,
        "full_name": "Tanmay Sharma",
        "title": "Founder/CPO",
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        "is_active": true,
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        "x_url": "https://x.com/tsha444",
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        "user_id": 1962783,
        "full_name": "Gurvir Singh",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Theta",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gurvir-s/",
        "x_url": "https://x.com/_gurvir_",
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      {
        "id": 90230,
        "title": "Theta: Self-Learning for AI Agents",
        "tagline": "An Intelligent Memory Layer for Real-time Learning",
        "body": "### **TL;DR**\n\nTheta is building self-learning and real-time adaptation for AI agents.\n\nWe’re starting with an intelligent memory layer so agents can remember and learn from previous interactions. With a simple four-line addition to your existing code, our memory layer uses real-time learning to analyze every run for mistakes and optimizations. The relevant insights are then passed on to your agent during future runs. \n\nWe’ve already improved the accuracy of OpenAI Operator by 43% with 7x fewer steps taken. If you’re building AI agents where reliability and speed are priorities, book a meeting [here](https://calendly.com/d/cndj-84h-9qz) or contact us at [founders@thetasoftware.ai](mailto:founders@thetasoftware.ai).\n\n\\\nhttps://youtu.be/TRNWfhyUI4E\n\n### **The Current Approach**\n\nAgents struggle to adapt to complex, real-world workflows. Workflows are dynamic, but agents remain static.\n\n* They get stuck in loops, repeating mistakes and requiring constant human guidance in the right direction. Your prompts get longer and longer as you try to hard-code solutions.\n* Even when your agent successfully completes a task, this long process starts all over again for any future run. Starting a new Cursor chat or Operator session means losing all of the insights and “aha moments” your agent had.\n\nLearning is fundamentally iterative, but agents can’t learn because they have no memory across runs.\n\n### **How Theta Works**\n\nTheta is building the infrastructure for agents to self-learn and adapt in real-time. The first component is an intelligent memory layer that learns from your agent’s previous runs. Just add four lines of code to your agent stack to get started:\n\n* At the end of the current run, Theta generates and embeds an analysis of your agent’s trajectory. It identifies critical steps and assesses overall performance.\n* Before the next run, Theta generates a detailed plan based on the specified task. It gathers relevant insights and optimizations based on previous runs.\n* With real-time learning, the memory layer continues to improve with more runs—meaning your agent gets better and better with zero human intervention.\n\nUsing this memory layer, we were able to improve the accuracy of OpenAI Operator by 43%. With optimized trajectories, Operator also took 7x fewer steps, resulting in better speed and cost.\n\n### **Our Ask**\n\nIf you’re building agents that need to perform dynamic, real-world workflows at the highest accuracy and speed, reach out to [founders@thetasoftware.ai](mailto:founders@thetasoftware.ai) or book some time [here.](https://calendly.com/d/cndj-84h-9qz)\n\n### **Our Team**\n\nRayan has previously done ML research as Head of Product at DeepSilicon. He’s been childhood friends with Tanmay since third grade, who previously built an AI browser and developed browser agents at MultiOn. During Rayan’s freshman year of college, he met Gurvir, who built distributed ML systems at Cornell, focusing on post-training and RL.",
        "url": "https://www.ycombinator.com/launches/NTK-theta-self-learning-for-ai-agents",
        "votes": 48,
        "created_at": "2025-05-08T22:13:52.982Z"
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    "website": "https://prisminference.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We sell tokens",
    "one_liner": "Abundant Intelligence for Everyone",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1745261196,
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      "America / Canada"
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/teamprismai",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
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        "user_id": 551584,
        "full_name": "Rajit Khanna",
        "title": "Founder/CEO",
        "founder_bio": "Founder @ Prism. Prev @ Greptile (YC W24), Skydio, Stripe (YC S09), and Blissway (YC S20).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajitkhanna",
        "x_url": "https://x.com/rajitwrites",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa583ac735194f7bc43967d9a949e34ba9f55e8f.jpg"
      },
      {
        "user_id": 557217,
        "full_name": "Alex Liu",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Prism. Prev engineering @ Palantir, AWS. Georgia Tech Alum",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexyliuswe",
        "x_url": "https://x.com/spicy_liu",
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    "jobs": [],
    "news": [
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        "title": "Y Combinator’s spring 2025 batch features 70 startups focused on agentic AI - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/artificial-intelligence/y-combinators-spring-2025-batch-features-70-startups-focused-on-agentic-ai/articleshow/121860763.cms?from=mdr",
        "date": "Jun 15, 2025"
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      {
        "id": 116844,
        "title": "Prism: Lightning fast inference for coding agents",
        "tagline": "Making tokens abundant for everyone.",
        "body": "Hello everyone,\n\nWe’re Alex and Rajit, and we’re excited to launch Prism.\n\n**TL;DR:** Prism is an inference cloud for open source LLMs. We use agents to optimize our deployments for cost, latency, and throughput (we serve DeepSeek V4.1 Flash at 547 tok/s).\n\n<https://youtu.be/Tp8_JO_IvX4>\n\n## The Problem\n\nOpen source models just got really good. DeepSeek was almost a quarter of all traffic on OpenRouter last week.\n\nWe spoke to developers building coding agents, personal AI assistants, and code review software, and we asked what the biggest bottleneck was in adopting open source models.\n\nThe answer: there is a token shortage. Existing providers either don’t have enough capacity, are too slow, or aren’t reliable enough.\n\n## Meet Prism:\n\nIntroducing Prism: lightning fast inference for coding agents. We have three core ideas.\n\n1. Custom deployments for every model\n\n   We use agents to optimize our deployments for latency, cost, and throughput. Here’s Deepseek V4.1 Flash running on Prism vs other major providers for the same coding task.\n\n   ![uploaded image](/media/?type=post&id=116844&key=user_uploads/551584/62819c55-2169-4734-927b-8a0a1765e57b)\n\n2. Price tokens like electricity\n\n   PG&amp;E charges less for off-peak usage. Token providers should do the same. And not every LLM request is urgent. We can charge less for requests with a wider scheduling window.\n\n3. Enable companies to develop personal intelligence\n\n   For domain-specific tasks, teams are adding adapters onto base models. Most providers require them to pay GPU costs, host, and run the model themselves. We offer serverless LoRA inference along with dedicated deployments.\n\n## Ask\n\nWe’ve spoken to\n\n1. teams who are doing more than six figures a month in frontier lab spend\n2. teams whose inference providers slow down their products \n3. teams who are considering post-training their own models but don’t want to pay constant GPU costs\n\nIf those descriptions sound like you, book a call with us to see how we can help [cal.com/team/prismai/demo](http://cal.com/team/prismai/demo).",
        "url": "https://www.ycombinator.com/launches/UOa-prism-lightning-fast-inference-for-coding-agents",
        "votes": 5,
        "created_at": "2026-09-24T17:21:40.950Z"
      },
      {
        "id": 97184,
        "title": "Prism - AI for the Next Generation of Media",
        "tagline": "Prism is a platform for making short form videos with AI",
        "body": "Hey Everyone! This is Rajit, Land, and Alex\n\n**TL;DR:** Prism is an AI platform for creating short-form videos. Generate assets, build storyboards scene-by-scene, and edit everything in one place.\n\n## **Who Prism is For**\n\nPrism is for anyone who ships short-form regularly:\n\n* **Creators** making memes, skits, explainer videos, ASMR videos, short films, etc.\n* **Marketers & agencies** creating paid ads, launch videos, and UGC content\n\nPrism is for anyone who wants to go viral:\n\n* **Founders** aura-farming on LinkedIn with product launches.\n* **Consumer/prosumer founders** who spend time on growth-hacking on TikTok when they’d rather be shipping.\n\n## **The Problem**\n\nCreating AI video content today means piecing together a dozen disconnected tools:\n\n* Image generators for concept art\n* Upscalers to make them usable\n* Image-to-video generators to bring still images to life\n* Start/end frame tools for precise scene control\n* Lipsync tools to match audio\n* Voiceover generators for narration\n* Video editors to stitch it all together\n\nEach tool operates separately, so you end up exporting from one and importing into another, then re-describing the same scene to try to keep things consistent. Over time, characters start to vary between clips, the visual style can drift, and the assets get spread across 10 browser tabs and your local drive.\n\n## **Meet Prism:**\n\nPrism is the entire video creation pipeline in one place.\n\nStart with a project, set the style once, and build your story scene-by-scene. Generate images, upscale them, and transform them to animated clips with voiceovers and lipsync all in one platform.\n\nNo more exporting between tools or re-prompting every step. Your characters stay consistent, your settings carry over, and your full project context stays attached so every scene looks like it belongs in the same video.\n\n[**https://www.youtube.com/watch?v=bMkQIP8NvdY**](https://www.youtube.com/watch?v=bMkQIP8NvdY)\n\n## **Advertisements and Launch Videos**\n\nWant us to make you a white-glove ad or launch video using our platform? Our videos generated more than 10M views in a month across socials. Reach out at [**founders@prismai.sh**](mailto:founders@prismai.sh).\n\n**Start Today**\n\nSign up on our platform at: [**https://www.prismvideos.com/**](https://www.prismvideos.com/)\n\nBook a video ad demo with us at: [**https://cal.com/team/prismai/demo**](https://cal.com/team/prismai/demo) or [**founders@prismai.sh**](mailto:founders@prismai.sh)",
        "url": "https://www.ycombinator.com/launches/PHU-prism-ai-for-the-next-generation-of-media",
        "votes": 8,
        "created_at": "2026-01-27T00:08:03.083Z"
      },
      {
        "id": 90346,
        "title": "Prism - AI that watches session replays and tells developers what to fix 🔍",
        "tagline": "Prism helps product teams become customer obsessed.",
        "body": "Hey everyone 👋\n\nWe're [Alex](https://x.com/spicy_liu), [Land](https://x.com/LTantichot), and [Rajit](https://x.com/RajitWrites) - co-founders of [Prism](https://x.com/teamprismai).\n\n# **TL;DR:**\n\nPrism is an AI that watches session replays and tells developers what to fix.\n\nhttps://youtu.be/xmvlRom8BNA\n\n# **Problem**\n\nAt Rajit’s previous company, they built a new onboarding flow, set up a dashboard to analyze it, and realized that it was broken. The problem was that this realization came four months later.\n\nThis is the core insight that led us to start Prism.\n\nExisting product analytics solutions are inflexible. They require comprehensive instrumentation and break every time an engineer adds a new flow or modifies an existing one.\n\nWith Prism, developers get insight into what's broken on day one. No event-tracking necessary.\n\n# **Solution**\n\nPrism uses vision models to watch session replays and identify friction. For our customers, it's like having a support engineer sit with every one of their users.\n\nPeople get value from Prism in one of two ways.\n\n### 1. Semantic search\n\n_Rather than watching hundreds of hours of session replays, developers can ask “what are the main pain points users are experiencing?”_\n\n![uploaded image](/media/?type=post&id=90346&key=user_uploads/551584/e3e366c0-be08-4b7d-a351-dd8f6deea3f3)\n\n### 2. Insight generation\n\n_Prism identifies what the issue is, who’s experiencing it, and what a developer can do to resolve it._\n\n![uploaded image](/media/?type=post&id=90346&key=user_uploads/551584/fc5fd965-6693-45d1-ae61-a323920f205e)\n\n# One more thing...\n\nWhile building software may be increasingly commoditized, we believe that the relationship people have with their users will never be. Prism is an AI that enables our customers to know their users better than they know themselves.\n\nIf you want to become customer-obsessed, you can get started at [prismreplay.com](http://prismreplay.com).\n\nYou can also book a demo to chat with us at [cal.com/team/prismai/demo](http://cal.com/team/prismai/demo).",
        "url": "https://www.ycombinator.com/launches/NVC-prism-ai-that-watches-session-replays-and-tells-developers-what-to-fix",
        "votes": 60,
        "created_at": "2025-05-13T14:32:23.347Z"
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    "id": 30494,
    "name": "Nixo",
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    "website": "https://withnixo.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Scale deployed revenue with the only data layer and agent platform built for how FDEs actually work.\r\n\r\nYour deployment capacity boils down to how many accounts your team can stay on top of. We figured out how you can create more of it with the FDE motion you already have.\r\n\r\nNixo is built on what the best FDE teams already know: when everyone has a clear view of what was promised, where every account stands, what needs attention next, and what can be reused from past work, the whole team can carry more deployments with ease. Nixo automatically captures the full history and live health of every account from pre-sales through post-go-live, no matter who worked on it last or where the information lives. Our agents use that context to find, scope, and prioritize work across the portfolio, so anyone can move any account forward.\r\n\r\nJoin the hundreds of FDE teams scaling deployment capacity with Nixo and finally unlock SaaS-level margins from your services.",
    "one_liner": "Make every FDE on your team capable of moving any account forward.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1752219403,
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/nixo.json",
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/withnixo",
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        "full_name": "Priya Khandelwal",
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        "founder_bio": "Founder and CEO @ Nixo.",
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        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/nixo/jobs/nI0YNNA-forward-deployed-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
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        "salary_range": "$150K - $250K",
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        "id": 93052,
        "title": "Nixo - The first ops platform for forward deployed engineers",
        "tagline": "Do things that don't scale, at scale",
        "body": "TL;DR We enable forward deployed engineers to cut time to customer impact.\n\nhttps://youtu.be/e5mBrBmGAFM\n\nYou wouldn’t give a Formula 1 driver a Honda Civic with rocket engines strapped on. But that’s what most companies do to their FDEs right now. These engineers MacGyver their way through every customer project using sales, technical, and support infrastructure that was never meant to accelerate what FDEs do. The result? Companies hit a wall sooner than they should. FDEs are overextended, and there’s no room to take on more customers.\n\n**Most orgs think custom implementations are slow because each one is too unique. In reality, FDEs lose days chasing customers for details and redoing overlapping work.**\n\nWe talked to 100+ FDEs to build the ops platform that finally cuts the friction and bloat slowing them down.\n\n**With Nixo, you can** **scope customer problems faster, discover opportunities to reuse code, and get instant visibility into workload across accounts.** Our approach is simple but effective: we pull information from Slack, GitHub, Linear, and CRMs, and organize it to match the flow of real FDE work.\n\n![uploaded image](/media/?type=post&id=93052&key=user_uploads/878307/50a6e373-27e1-4c98-98d6-ec4676fc3fff)\n\nHi 👋 we’re Priya and Priti. As FDEs at startups, we felt the pain of managing high-touch deployments without the right tools. And as more teams deploy AI into complex customer environments, we believe the FDE model is here to stay. But making it sustainable and scalable takes more than just iPaaS or better coding agents — it takes the right ops infrastructure.\n\nIf you're selling to enterprises, building agents for verticals, or scaling your FDE team, you’ll want to see what we’re working on. Reach out to [**priya@withnixo.com**](mailto:priya@withnixo.com) or [**schedule a 15 minute chat**](https://cal.com/priya-nixo/15min).",
        "url": "https://www.ycombinator.com/launches/OCq-nixo-the-first-ops-platform-for-forward-deployed-engineers",
        "votes": 29,
        "created_at": "2025-08-15T20:55:12.428Z"
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    "id": 30496,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "QualGent is an AI Mobile App Quality Assurance Tester that mimics a real human, helping teams catch bugs and ship faster - without hiring more QA testers. One customer reached #3 in the Education category on the App Store by improving app quality with QualGent.\r\n\r\nMobile bugs hurt: crashes kill ratings, broken checkouts drive churn. QualGent helps teams scale QA effortlessly and avoid Sonos-level disasters.\r\n\r\nThe idea for QualGent was born from the founders’ experience leading engineering teams at Google across Android XR, Stadia, Quick Share, and foldable devices where shipping to billions of users meant constantly facing the painful trade-off between moving fast and maintaining quality. With prior research experience at Nvidia, Maryland, and Berkeley, the team saw a clear opportunity: use AI to scale QA.\r\n\r\nQualGent’s vision is to close the loop on software creation. As AI enables engineers to code 100x faster, QualGent eliminates the next bottleneck—software verification—unlocking truly scalable, end-to-end software development.",
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    "team_size": 10,
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    "year_founded": 2025,
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      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 297983,
        "full_name": "Shivam Agrawal",
        "title": "Founder/CEO",
        "founder_bio": "CEO at QualGent, ex-Googler in AI, XR and Android\n\nShivam is a customer-obsessed engineer who spent 5 years at Google building AI products, visual interfaces, and frameworks. He led Android XR’s 3D system UI, shipping it in one-fifth the time it took Apple to launch VisionOS, and built the team’s most-used tool - a C++ simulator that 10x-ed developer velocity. Recognized as the fastest executor on the team, he left to fix the biggest bottleneck he faced firsthand: mobile QA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shivam-agrawal",
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      {
        "user_id": 2593639,
        "full_name": "Aaron Yu",
        "title": "Founder/CTO",
        "founder_bio": "CTO at QualGent | Ex-Google | Ex-Nvidia | Ex-Berkeley\n\nEx-Google Tech Lead with 5.5 years building and scaling 0→1 products (Android XR, Stadia, Quick Share). Deep expertise across mobile, AI/ML, connectivity, OS framework, and systems. UC Berkeley CS in 3 years, former Nvidia & Berkeley Lab researcher. Robotics and computing olympiad medalist and ASEAN scholar. Now co-founder of QualGent (YC X25), redefining QA with AI, applying deep technical breadth to close the loop on software creation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaron-y-a12518ab/",
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    "jobs": [
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        "id": 95108,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/qualgent/jobs/3DA0AxA-design-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$50K - $120K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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      {
        "id": 108689,
        "title": "Founding GTM Lead",
        "url": "https://www.ycombinator.com/companies/qualgent/jobs/wgkKIpV-founding-gtm-lead",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (New York, NY, US; San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $130K",
        "equity_range": "0.25% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112877,
        "title": "Founding Mobile Engineer, Go-to-Market",
        "url": "https://www.ycombinator.com/companies/qualgent/jobs/gfKTJsx-founding-mobile-engineer-go-to-market",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (New York, NY, US; San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "iOS",
        "salary_range": "$90K - $130K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 95907,
        "title": "QualGent V3: A fully capable, self-healing agentic mobile QA platform",
        "tagline": "The wait is over. Unleash your AI mobile QA workforce now.",
        "body": "We just dropped the biggest update in our history, and we’re opening the gates. We didn’t just build a smarter brain; we built the entire nervous system. QualGent V3 is now a fully capable, self-healing agentic mobile QA platform that integrates directly into your app development and release lifecycle.\\\n\\\nhttps://youtu.be/A6DUE6C20Mw?si=GEW13qMS49jN_s8G\n\n**The V3 upgrades:**\n\n🚀 **Instant Self-Serve:** No waitlists. Sign up, upload your app, write tests in plain English and run 1000s of parallel tests _today_. \n\n⚡ **Parallel Cloud Scale:** Run your entire regression suite on thousands of real devices and emulators concurrently. What used to take your QA team 3 days now takes your AI workforce 30 minutes.\n\n**🔗 Deep Workflow Integration**\n\n* Native integrations for **GitHub CI/CD**, **Slack**, and **Linear**. Bugs go straight to your issue tracker; results go straight to your team.\n* **Developer APIs:** Complete control. Customize your automation workflow for uploads, triggers, and reporting via our new API.\n\n📱 **Total Coverage**\n\n* **Landscape & Tablets:** We’ve unlocked landscape testing across tablets and mobile browsers. Any device. Any orientation.\n* **Multi-Account Magic:** New **Credential Management** handles login rotations seamlessly for multi-user testing.\n\n🔓 **Enterprise Control**\n\n* **Smart Dashboard:** Track every test by **app build**. See exactly which commit caused the regression.\n* **Bulk Runs:** Use **Category Tagging** to trigger specific suites (e.g., \"Smoke,\" \"Checkout,\" \"Payments\") instantly.\n\n🧠 **Self-Learning & Self-Generating**\n\n* **Agentic memory:** Our AI agents don't just execute; they now learn. With memory layers, v3 remembers past interactions, learning from every bug and successful flow to get smarter with every run.\n* **AI Test Creation Agent**: Don't just automate execution; automate creation. Our agent writes the test cases for you based on the context it learns about your app.\n\nWith QualGent V3, we’ve moved beyond testing automation, this is testing orchestration. Legacy QA automation is technical debt. QualGent V3 is technical leverage. Stop testing manually and maintaining brittle test scripts. Start commanding an autonomous AI QA workforce.\n\n**Deploy your AI workforce now:** https://qualgent.link/qualgent-ai \n\n![uploaded image](/media/?type=post&id=95907&key=user_uploads/2593639/022cc71f-5e30-464c-8822-76f8a506b0b7)\n\n",
        "url": "https://www.ycombinator.com/launches/Owt-qualgent-v3-a-fully-capable-self-healing-agentic-mobile-qa-platform",
        "votes": 121,
        "created_at": "2025-12-01T23:33:14.419Z"
      },
      {
        "id": 90415,
        "title": "QualGent: AI Quality Assurance agent for mobile software testing",
        "tagline": "Test Mobile Apps with Natural Language on Real Devices in the Cloud",
        "body": "Today, we’re launching QualGent, an AI Quality Assurance agent for mobile that helps companies catch more bugs and ship much faster without hiring more human QA testers. One customer hit **#3 in the App Store’s Education category** by improving their app quality and release process with QualGent.\n\nhttps://youtu.be/k1eSm6QvO9c\n\n**🐛 The Problem: Mobile QA is a Bottleneck**\n\nShipping a great mobile app is hard. Even top teams struggle with flaky end-to-end tests, missed edge cases, and regressions that slip past CI.\n\nScript-based automation tools like Playwright, Selenium, Appium or Espresso break often. Visual diff tools miss functional bugs. And in-house human QA teams can’t scale with today’s release cycles.\n\nCTOs, VPs, Directors of Eng, and QA leads at fast-growing companies are asking:\n\n> Why does our test suite say green when our users say broken?\n\n**🛠️ Why We Built This: From frustrated mobile engineers to reinventing QA**\n\nWe’ve been mobile engineers at Google who shipped products like Android XR, Quick Share, Stadia, and foldable phones. We’ve seen firsthand how slow, flaky QA can derail a great product. We built QualGent so teams can catch real bugs faster, ship with confidence, and stop wasting time maintaining fragile tests.\n\nWe're grateful to be part of the YC community and excited to bring modern AI to a painful, expensive problem that slows down almost every mobile team we’ve met.\n\n**⚙️ The Solution: QualGent - Your AI QA Copilot**\n\nQualGent uses computer-use LLM agents and vision models to mimic a real human tester:\n\n1. You describe a test in natural language (“Sign up, go to settings, change theme”)\n2. Our AI agent runs that test on real iOS and Android devices in the cloud\n3. It taps, swipes, scrolls, types, speaks, listens - just like a human\n4. And gives you video, logs, and test reports for every step\n\nNo more rigid scripting. No more emulator-only limits. No more test maintenance hell.\n\nOur AI agent self-heals, handles dynamic pop-up content, navigates unexpected UI changes, and catches bugs like a pro.\n\n**🧠 Our Vision: Complete the AI coding-testing loop to ship quality products 100x faster**\n\nOur vision is to close the loop on software creation. As AI enables engineers to code 100x faster, QualGent eliminates the next bottleneck—software verification—unlocking truly scalable, end-to-end product-driven software development.\n\n**📢 Try it and Help Us Spread the Word: Let’s reimagine mobile QA together**\n\n1. Book a demo with us and see QualGent in action on your app!\n2. Know someone leading mobile engineering? We’d love a warm intro.\n\nWe rethought what QA could be with AI, you’ll want to test this. Let’s make releasing great mobile apps a joy again.\n\nhttps://qualgent.ai\n\n![uploaded image](/media/?type=post&id=90415&key=user_uploads/297983/ad94ce99-b2ca-43c6-91b8-0131fbe39fc2)\n\n",
        "url": "https://www.ycombinator.com/launches/NWJ-qualgent-ai-quality-assurance-agent-for-mobile-software-testing",
        "votes": 108,
        "created_at": "2025-05-14T21:59:31.952Z"
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    "id": 30497,
    "name": "Human Behavior",
    "slug": "human-behavior",
    "former_names": [
      "Dough"
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    "website": "https://www.humanbehavior.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Human Behavior uses vision models to watch all user web sessions so you know exactly how users use every part of your product. ",
    "one_liner": "Understand your users beyond the numbers",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1744779271,
    "tags": [
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      "Analytics",
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    "isHiring": false,
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    "batch": "Spring 2025",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/human-behavior",
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    "year_founded": 2025,
    "city": "San Francisco",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
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        "full_name": "Amogh Chaturvedi",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/amoghchaturvedi1/",
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    "news": [
      {
        "title": "These 20- and 22-year-olds raised $5M from YC, General Catalyst to study online behavior using vision AI | TechCrunch",
        "url": "https://techcrunch.com/2025/09/03/these-20-and-22-year-olds-raised-5m-from-yc-general-catalyst-to-study-online-behavior-using-vision-ai/",
        "date": "Sep 03, 2025"
      }
    ],
    "launches": [
      {
        "id": 90280,
        "title": "Human Behavior: We reveal why users stay, leave, or pay",
        "tagline": "We have an AI that watches real user sessions to give you the \"why\" behind analytics numbers.",
        "body": "![uploaded image](/media/?type=post&id=90280&key=user_uploads/2397615/2f936c17-95eb-44f0-9823-8f500e75a907)\n\n🎥 What if there’s an AI that watches every user so it has full contextual understanding of your webapp. \n\n**tl;dr:** We’re just that! By analyzing all session replays, we extract behavior patterns that drive retention & revenue – without requiring manual event tracking. We sell to product teams at high growth startups like Delve, Conduit, etc.\n\nhttps://www.youtube.com/watch?v=4Dvt3COkC-U\n\n**Can’t watch all your session replay videos?** We’d love to talk to you: [founders@humanbehavior.co](mailto:founders@humanbehavior.co) or https://cal.com/humanbehavior-founders/30min \n\n**❌ The Problem**\n\nTwo options to understand how your product is used:\n\n1. Product analytics (like Mixpanel or Amplitude): Great for aggregating data but miss user context.\n2. Session replays capture absolutely everything, but there's no good way to aggregate them to learn anything useful.\n\n\"How many users abandon my product after a long LLM generation time? How long do enterprise vs free users spend on feature X?\" These questions become difficult to answer with traditional methods.\n\n**💡Our Solution**\n\nWe built Human Behavior to give you the best of both worlds using vision AI that actually watches your users. No more choosing between high-level analytics or drowning in session videos!\n\nWithout AI, thousands of session videos can be overwhelming. Now you'll never have to set manual feature tracking again – retroactively explore feature usage patterns from all your past users without wasting engineering time and effort.\\\nhttps://www.youtube.com/watch?v=D12guaaJeJ8\n\n**👬 The Team**\n\nWe're Amogh (Stanford CS), Skyler (Berkeley CS), and Chirag (UChicago CS) and we've spent countless hours watching session replays ourselves. We worked on VLM research at Stanford NLP Group and UChicago Database Group, commercializing it to give the best customer behavior insights.\n\n**🤝Our ask:** \n\n* Check us out at https://www.humanbehavior.co/!\n* Stay in touch! If you know any companies with too many replays, we'll watch it for them! We'd also love to understand how you'd use the product. Email us at [founders@humanbehavior.co](mailto:founders@humanbehavior.co) \n* If you like what you see, we'd love to chat! Book a call with us here: https://cal.com/humanbehavior-founders/30min\n\n \n\n_(P.S. Thanks to [gatekeep.ai](http://gatekeep.ai) for letting us use their data for a demo!)_",
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        "votes": 85,
        "created_at": "2025-05-11T16:15:46.610Z"
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    "id": 30498,
    "name": "Alkali",
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    "website": "https://alkali.engineering",
    "all_locations": "Houston, TX, USA",
    "long_description": "Alkali is building the next generation of estimation tools for construction.",
    "one_liner": "The smarter way to estimate steel.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1747069774,
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    "regions": [
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    "year_founded": 2025,
    "city": "Houston",
    "country": "US",
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      "name": "Diana Hu",
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        "user_id": 2744343,
        "full_name": "Emmett Goodman",
        "title": "Founder/CEO",
        "founder_bio": "Background in Chemical Engineering and GenAI. Building the first AI Chemical Process Engineer 🤖🧪",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/emmett-goodman/",
        "x_url": "https://x.com/EmmettDMGoodman",
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      {
        "user_id": 2448880,
        "full_name": "Victor Miller",
        "title": "Founder/CTO",
        "founder_bio": "I am a chemical engineer, laboratory scientist, and data scientist, all by training and profession. I blend data-driven methods with chemical techniques to get results. I am currently the co-founder of Alkali Engineering, working to build the world's first AI process engineer.",
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        "linkedin_url": "https://www.linkedin.com/in/victor-v-a514248b",
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    "jobs": [
      {
        "id": 99714,
        "title": "Founding Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/alkali/jobs/3iTB9w5-founding-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $220K",
        "equity_range": "0.75% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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    ],
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      {
        "id": 90604,
        "title": "Alkali – The AI Copilot for Chemical Process Design",
        "tagline": "Build chemical projects faster.",
        "body": "**TL;DR:** Scaling a chemical process from lab-scale result to commercial plant can take years and hundreds of millions of dollars. Alkali’s Engineering Copilot (ProcessMate) uses AI to catch process design errors and automate equipment sourcing – keeping your projects on time and on budget.\n\n[Demo!](https://www.youtube.com/watch?v=JRsBGalf-7k)\n\n**The Problem:**\n\nAs chemical engineers, we’ve seen how design errors and procurement delays derail project schedules and budgets:\n\n* **Engineering Rework:** Projects often undergo 10+ design iterations due to incorrect equipment selection, overlooked safety requirements, or careless design errors.\n* **Procurement Delays:** Complex part sourcing, manual quote/response workflows, and relentless vendor follow-up (chasing confirmations, shipments, exceptions) can delay projects by months.\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/38799444-2d92-431e-9e5c-807e9fe1bbbb)\n\n**Our Solution:**\n\n[Alkali Engineering](https://alkali.engineering/)’s ProcessMate platform streamlines error checking and procurement. Free engineers to do creative work, get projects built on time!\n\n1. **AI-Driven Design Checks** – Like an engineering spell-check for your schematics, AI identifies design errors before it’s too late.\n2. **Smart Equipment Selection** – Cross reference your engineering designs and vendor catalogues to help you get the right parts, faster.\n3. **Version Control & Chat Interface** – Interpretable version control for engineering schematics. Version control is no longer just for software engineers!\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/c4d82b46-885d-4547-b33e-ede8406b033f)\n\n**The Team:**\n\n* [Emmett Goodman](https://www.linkedin.com/in/emmett-goodman/) (PhD, Stanford – ex-AWS GenAI Labs): Led delivery of GenAI solutions for AWS’s flagship customers, showcasing “art of the possible” solutions.\n* [Victor Miller](https://www.linkedin.com/in/victor-v-a514248b/) (PhD, Berkeley – ex-Shell Engineer): Led 8-figure chemical engineering infrastructure projects.\n\n**Our Ask:**\n\nWe’re looking to talk to:\n\n* Project managers fighting schedule overruns\n* Industrial vendors wanting faster RFP/RFQ cycles\n* EPC/Engineering firms interested in piloting AI-driven design validation and procurement\n\n👇 Know someone who fits? Email us at [founders@alkali-eng.com](mailto:founders@alkali-eng.com) !",
        "url": "https://www.ycombinator.com/launches/NZM-alkali-the-ai-copilot-for-chemical-process-design",
        "votes": 53,
        "created_at": "2025-05-21T21:21:07.352Z"
      }
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    "id": 30500,
    "name": "Besimple AI",
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      "besimple ai"
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    "website": "https://besimple.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are building the data layer for AI, starting with audio.  \r\n\r\nWe start with data collection, curating our own proprietary set of diverse conversational data covering a wide range of languages, dialects and accents.  We then leverage human expert audio annotators and our own annotation platform to process audio data for Automatic Speech Recognition.  \r\n\r\nWith human level transcription and diarization, our data help push the audio model frontier.  Today we have over millions of hours of conversational data, and growing. \r\n\r\nIf you need audio data for training or evaluating your voice models or voice agents, reach out!  We offer flexible licensing deals that work for startups and enterprises, with minimal process.  \r\n\r\nAudio data should besimple :) ",
    "one_liner": "Voice data for AI",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747861843,
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    "batch": "Spring 2025",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/besimple-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/besimple-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/besimple-ai/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 2527745,
        "full_name": "Yi Zhong",
        "title": "Founder/CEO",
        "founder_bio": "Currently co-founder & CEO at Besimple AI, building the human-interaction data layer for emotionally intelligent AI.  \n\nPrior to Besimple, I was a PM lead at Meta for its AI Integrity team, building large scale AI systems to detect problematic contents and accounts.  I also worked as a PM at Microsoft and Dropbox, after graduating from MIT in 2016.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yzhong94/",
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      },
      {
        "user_id": 2544844,
        "full_name": "Bill Wang",
        "title": "Founder/CTO",
        "founder_bio": "Shenzhen-born, Rhode Island-brewed, Bay Area-domesticated. While at Meta, launched 7 products and killed 2. Most recently, led the GenAI Annotation team, developing an in-house annotation platform for training LLaMa. Previously, managed an engineering organization responsible for improving connectivity for over 300 million users and optimizing 70%+ of Meta's annual SMS spend.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/8illwang/",
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    ],
    "jobs": [
      {
        "id": 96880,
        "title": "Audio QA Lead - Part Time Contractor",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/mKH99fq-audio-qa-lead-part-time-contractor",
        "location": "San Mateo, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$25 - $45 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97432,
        "title": "Strategic Projects Lead — Audio Data",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/yWfhhOR-strategic-projects-lead-audio-data",
        "location": "San Mateo, CA, US",
        "type": "Full-time",
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        "role_type": null,
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      },
      {
        "id": 110630,
        "title": "Community Growth Manager, Contributor Acquisition",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/pDSSREY-community-growth-manager-contributor-acquisition",
        "location": "San Mateo, CA, US / Remote (US)",
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        "role_type": null,
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      },
      {
        "id": 116834,
        "title": "RL Environment Engineer (Full-time, Part-time, or Contract)",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/dPIlkr6-rl-environment-engineer-full-time-part-time-or-contract",
        "location": "San Mateo, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$160K - $360K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116900,
        "title": "Linguist - Speech & Conversational AI",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/uTWqXak-linguist-speech-conversational-ai",
        "location": "San Mateo, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$30 - $60 / hourly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Announcing our seed round led by YCombinator - Besimple AI",
        "url": "https://besimple.ai/blog/announcing-our-seed",
        "date": "Dec 05, 2025"
      }
    ],
    "launches": [
      {
        "id": 90653,
        "title": "Besimple AI – Spin up your own data annotation platform in 60 seconds🚀",
        "tagline": "We make data annotation simple",
        "body": "Hey there!  We are [Yi](https://www.linkedin.com/in/yzhong94/) and [Bill](https://www.linkedin.com/in/8illwang/), from [Besimple AI](https://www.ycombinator.com/companies/besimple-ai)!  Struggling with data annotation?  Keep reading!\n\n💎 **TLDR**\n\nWith Besimple, you can generate your own platform for annotating AI eval and training data instantly.  Simply paste or stream any type of raw data and we'll instantly generate a tailored annotation interface, clear guidelines, an automated human-in-the-loop workflow, and AI judges to scale your insights.\n\nhttps://www.youtube.com/watch?v=Hw-EVKdOhds\n\n## **❌ The Problem**\n\nHigh-quality, human-reviewed data is essential for improving AI models. But teams today face significant challenges:\n\n* **Complex LLM Workflows**: Most AI startups and even the largest AI companies use spreadsheets for annotations to “move fast”. It is brittle. And it breaks down quickly for dynamic, multimodal, agent-based LLM use cases.\n* **Annotation Bottlenecks**: As models get better, only domain experts and someone on your team can improve model performance.  They quickly get overwhelmed when guidelines and data change constantly. This is expensive and slows model iteration.\n* **No Feedback Loop**: After a model ships, interesting production data isn’t automatically fed back into evaluation or training, missing opportunities for ongoing improvement.\n\n## **✅ Our Solution:** \n\n1. Instant custom UI: Just paste or stream your data and we create a custom annotation UI for your task.  We support text, chat, audio, video, LLM traces, and more. \n2. Tailored guidelines: Import any existing guidelines or we will draft new ones aligned with your business goals, ready for annotation\n3. AI Judges for real-time evaluation: LLM-based “judges” continuously learn from incoming annotations to evaluate live traffic and flag borderline cases for human review.\n4. Enterprise-grade deployment: On-prem optional install, and robust user management for internal SMEs, external vendors, or Besimple’s vetted annotators.\n5. Lightning fast setup: No code, no plugins—just drop in your data, set guidelines, and you’re good to go.\n\n**Traction:** The leading AI grading company Edexia uses besimple to annotate hundreds of decisions and improve their evals.\n\n## **The Team**\n\nWe’re **Yi Zhong** and **Bill Wang** —who built the annotation platform for Meta’s Llama models. We founded Besimple AI to help everyone spin up a Scale AI in 60s.\n\n# **🙏 Our asks**\n\nWe’re on a mission to make _continuous, high-quality data_ the easiest part of AI development. If that resonates, let’s chat!\n\n1. Reach us at [**founders@besimple.ai**](mailto:founders@besimple.ai)\n2. Book demo [here](https://calendly.com/yi-besimple/besimple-ai-intro-call).\n3. Or join our self-serve waitlist on our [website](https://besimple.ai/)!\n\nWe’ll show you how to launch a custom annotation platform in under a minute!",
        "url": "https://www.ycombinator.com/launches/Na9-besimple-ai-spin-up-your-own-data-annotation-platform-in-60-seconds",
        "votes": 332,
        "created_at": "2025-05-22T20:14:47.012Z"
      }
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    "id": 30501,
    "name": "Cartpole",
    "slug": "cartpole",
    "former_names": [
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      "Jazzberry"
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    "website": "https://cartpole.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're creating reinforcement learning environments for training frontier models.",
    "one_liner": "Building reinforcement learning environments",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1744600545,
    "tags": [
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      "Data Labeling",
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      "ML"
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    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/cartpole",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cartpole.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cartpole",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "user_id": 2557020,
        "full_name": "Mateo Perez",
        "title": "Founder/CEO",
        "founder_bio": "Building Cartpole. PhD @ CU Boulder.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mateo-perez/",
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    "launches": [
      {
        "id": 90047,
        "title": "Jazzberry - AI bug finding with real code execution",
        "tagline": "We're creating the best AI agent for bug finding",
        "body": "Hello everyone, \n\nWe’re Mateo and Marco, and we're excited to introduce Jazzberry, an AI agent for finding bugs. Jazzberry is powered by running your code in a secure sandbox and integrates directly into your pull request workflow on GitHub.\n\n**Try it here →** <https://jazzberry.ai>\n\n<https://www.youtube.com/watch?v=L6ZTu86qK8U>\n\n**Why we built Jazzberry**\n\nAI code generation has dramatically increased the amount of code that is written without the tools for bug finding keeping up, leading to a world with more buggy code that is hindering developers. To improve bug finding, we’ve created an AI agent with the ability to run snippets of your code. We're not just flagging potential issues based on code patterns; we're observing the real behavior of your software. Here’s how it works.\n\n1. When you create a pull request, Jazzberry gets to work.\n2. Your repository is cloned into a microVM.\n3. Our agent examines the contents of the pull request to guide its search. It can write and execute code in the microVM as it looks for bugs.\n4. Jazzberry returns a clear markdown table directly as a comment.\n\n![uploaded image](/media/?type=post&id=90047&key=user_uploads/2557020/31d75b00-abc3-4a60-8ef5-b3a685edfcd5)\n\n**Real Bugs, Real Impact**\n\nWe've already seen Jazzberry make a tangible difference for our early users. So far, Jazzberry has…\n\n* successfully identified a SQL injection vulnerability\n* discovered a critical logical error in API key validation\n* [found an incorrect page navigation](https://blog.openint.dev/how-we-scale-prs/) (see below, we are formerly known as Prophet)\n\n![uploaded image](/media/?type=post&id=90047&key=user_uploads/2557020/864328cf-c4b9-4b9a-b267-e9059a158f32)\n\n**Who we are**\n\nWe have been friends for over a decade, and are coming together to create Jazzberry. Marco completed his MS at the University of Stellenbosch specializing in LLMs for automated test suite generation. Mateo completed his PhD at the University of Colorado Boulder with a research focus on reinforcement learning and formal methods.\n\n**Our Ask**\n\n* **Try it out** – Jazzberry is available now with a free trial at <https://jazzberry.ai>.\n* **Contact us** – We’d love to hear your feedback and what bugs Jazzberry helps you catch. Reach us at [founders@jazzberry.ai](mailto:founders@jazzberry.ai).",
        "url": "https://www.ycombinator.com/launches/NQN-jazzberry-ai-bug-finding-with-real-code-execution",
        "votes": 42,
        "created_at": "2025-05-05T22:37:45.137Z"
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    "id": 30503,
    "name": "Vesence",
    "slug": "vesence",
    "former_names": [
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      "Verse"
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    "website": "https://vesence.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Vesence is a computer built for agents doing 99% of the work. \r\n\r\nDevice-agnostic and model-agnostic, it brings your inbox, files, browser, and tools into one workspace. Run Claude Code and Codex, direct agents in parallel, and stay in control from any device.",
    "one_liner": "The Agent-Native Computer",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747133222,
    "tags": [
      "Finance",
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      "Legal",
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    "stage": "Early",
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    "year_founded": 2025,
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
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        "user_id": 2572575,
        "full_name": "Henrik Hansson",
        "title": "Founder/CEO",
        "founder_bio": "CEO and Co-founder of Vesence. Cursor for Lawyers.\n\nThree facts:\n- Studied at Sweden's top two universities in parallel. Physics and economics at 200 percent pace.\n- Amassed tens of millions of streams as a music producer. Still getting around $3K in royalties per month to this day.\n- Worked together with Anton, founder of Lovable, at Depict for 3 years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/henrik-hansson-1571a8187/",
        "x_url": "https://x.com/HenrikTaro",
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      {
        "user_id": 2486274,
        "full_name": "Ludvig Swanstrom",
        "title": "Founder",
        "founder_bio": "Co-Founder at Vesence. YC-Backed. Forbes 30u30. Former Pro-Basketball Player.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ludvig-swanstr%C3%B6m-73ab49114/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6814535e0aa091165bdd119b8a2814dd1000773.jpg"
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        "id": 110539,
        "title": "Founding BDR (Business Development Representative)",
        "url": "https://www.ycombinator.com/companies/vesence/jobs/YTaHNCr-founding-bdr-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K",
        "equity_range": "0.05% - 0.10%",
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        "id": 110543,
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    "news": [
      {
        "title": "Vesence Raises $9M Seed Round | Vesence",
        "url": "https://www.vesence.com/blog/seed-round-announcement",
        "date": "Oct 28, 2025"
      }
    ],
    "launches": [
      {
        "id": 90570,
        "title": "Vesence: Cursor for Transactional Lawyers",
        "tagline": "AI Agents inside of Microsoft Office for Transactional Law Firms. ",
        "body": "**TL;DR:** We are building Cursor for Lawyers. We turn Microsoft Word into an IDE for contracts, and build agents operating in the background. Our initial focus is on Transactional Law Firms, and agents built for quality-assuring projects and documents according to the firm’s best practice.\n\nWe have already rolled out Vesence firm-wide at our first enterprise client with a lot of love from both associates and partners.\n\nKnow any Transactional Lawyers? Let’s connect: [founders@vesence.com](mailto:founders@vesence.com).\n\nhttps://www.youtube.com/watch?v=Nr1Q7S6A84I\n\n**Problem:**\n\nImagine programming in Apple Notes.\n\nNo linting, no cursor, you are on your own.\n\nThat is how it is for many lawyers to draft and review contracts in Microsoft Word.\n\nAt law firms, the stakes are extremely high. Every mistake can hurt your reputation badly. Associates need to deliver under time pressure, partners demand extreme attention to detail, and your clients will not accept any blunders.\n\nGiven the attention to detail needed in the work, working on complex projects under constant time pressure, we are starting with quality-assuring agents (i.e. a linting system for contracts).\n\nThe consequences of shipping \"bugs\" in a legal document can be catastrophic, but even the best firm still rely on manual review to catch mistakes.\n\n**What We’ve Built**\n\nVesence offers quality assurance AI agents available straight in Microsoft Word to handle tasks such as:\n\n* **Apply firm-wide Standards**: Apply writing style guides and best practices consistently across all practice groups in the firm\n* **Ensure project-level alignment**: Flag inconsistencies across multiple deal documents, for example auto-checking the SPA against the original term sheet\n* **Verify document consistency**: Catch defined term slips, bad cross-references, logical gaps, and miscalculations within a single document\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/99f83828-eeb2-4d36-9c69-e8401e4ab7b5)\n\n**Why This Matters**\n\nLet’s hear it from our users:\n\n“You saved me 4 hours last night.”\n\n“I’m never sending out a document/project again unless I’ve used Vesence.”\n\n“This is how AI should feel like. Intuitive and extremely helpful.”\n\n**Associates** love Vesence as they can produce exceptional internal deliveries under less pressure to seniors and partners. **Partners** love the tool as their teams hand them better quality work and follows the firm’s best practices.\n\nThe interest we have seen from transactional law firms is great, but we also received inbound from other professional service providers that care deeply about quality and the reputation of their firms, including Investment Banks and Management Consultants.\n\nBasically, the holy trinity of where the ‘pls fix’ culture thrives.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/e3b7f4e8-f03a-448d-9af8-fabe96a9feea)\n\nThe founders **Henrik Hansson** and **Ludvig Swanström** have known each other for 8 years, and worked together at the YC startup Depict S20 (founded by the CEO and Founder of Lovable).\n\nTo build Vesence, we spent a couple of months living at a law firm, to refine the product and user experience alongside lawyers.\n\nWe have already rolled out the product firm-wide at a law firm.\n\n**Our Ask**\n\nKnow any partners, innovation managers, or associates at transactional law firms? Please connect us!\n\nHave you ever worked at a law firm, management consultancy firm, or an investment bank and faced brutal pls fix tasks? Please share them with us!\n\nReach out to us at: [founders@vesence.com](mailto:founders@vesence.com)",
        "url": "https://www.ycombinator.com/launches/NYo-vesence-cursor-for-transactional-lawyers",
        "votes": 32,
        "created_at": "2025-05-20T20:03:01.272Z"
      }
    ]
  },
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    "id": 30504,
    "name": "Third Chair",
    "slug": "third-chair",
    "former_names": [
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    "website": "https://usethirdchair.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Third Chair works with IP rightsholders to enforce and monetize their rights, supported by an on-demand network of top lawyers to step in when you need them.\r\n\r\nWe’ve started with revenue-generating workflows, giving media companies visibility into who’s using their content and helping them turn unauthorized ads into a predictable income stream.\r\n\r\nThe biggest media and entertainment companies like Universal Music Group in the world rely on Third Chair to enforce their intellectual property, unlock licensing revenue, and accelerate deal flow. ",
    "one_liner": "AI-Native IP Enforcement Agent",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1748486427,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
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      "Fully Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/third-chair",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/third-chair.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usethirdchair",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 594864,
        "full_name": "Yoav Zimmerman",
        "title": "Founder/CEO",
        "founder_bio": "Yoav is CEO / Founder of Third Chair (YC X25). Yoav previously founded Trendpop (YC W21) and scaled it past $1M ARR in the media/entertainment industry, selling to customers like Universal Music Group and Mr. Beast. Before that, he worked on machine learning at Google and early-stage AI startups. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yoav-zimmerman-05653252/",
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      {
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        "full_name": "Shourya Lala",
        "title": "Founder/CTO",
        "founder_bio": "Shourya Lala is the Founder and CTO of Third Chair. He previously founded game-based investments startup Fello (YC W22), scaling it to 2mn users and tens of millions in investments. ex-ODF, ex-BlackRock, 2x YC",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shouryalala/",
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 90844,
        "title": "Third Chair: Agents for in-house legal teams",
        "tagline": "Delegate the paralegal work so your team can operate at scale.",
        "body": "# TL;DR\n\nThird Chair is building agents for in-house legal teams. We’ve started in media/entertainment, where our agents can identify IP infringements, collect evidence, and help recover millions of dollars in damages at scale. \n\n# 🛑 Problem\n\nIn-house legal teams are constantly underwater with a million tasks on their desk. Many of these are **repetitive**, **manual**, and **mind-numbing**: \n\n* Our customer at a music distributor spent hours tracking down brand contacts, then weeks following up with different emails just to reach the right department.\n* Our customer at a major record label spent weeks reviewing thousands of social media ads and manually logging results in a spreadsheet.\n* Our customer at a music publisher spent a majority of his time on email follow-ups for unpaid invoices, unsigned contracts, and unanswered emails.\n* Our customer at a music rights investment firm didn’t have time to draft individual demand letters for thousands of infringements they wanted to pursue.\n\nWhen you're buried in a million tasks, it can be hard to prioritize what matters most to your business's bottom line. At worst, you can miss opportunities that could turn the legal department from a cost center into a **profit driver**.\n\n# ✅ Solution\n\nThat’s why we’re building Third Chair for in-house legal teams, starting in media/entertainment. Our customers delegate end-to-end workflows to Third Chair so they can operate at scale: \n\n* Our browser agent detects uses of your copyrights, trademarks, or name-image-likeness across the web.\n* Our outreach agent finds the right business contact, verifies deliverability, and sends follow-ups.\n* Our contracts agent drafts demand letters for human review, incorporating the context gathered in previous steps.\n\n> This is definitely the best product I’ve seen in this category. Every other vendor just sends us CSV data files from outsourced data labelers. - _Top 3 Music Company_\n\n[Third Chair Product Demo](https://youtu.be/Khflxy5GfbI)\n\n💡 We’ve found that in-house legal teams don’t want to learn and buy new software tools, but they’re happy to buy services to solve their problems. That’s why you can work with Third Chair just like you would with a human paralegal. You can send questions or tasks via email to [ask@usethirdchair.com](mailto:ask@usethirdchair.com), or use our web interface for more complex workflows.\n\n**AI will create the first one-person unicorn. Third Chair will be their legal department.**\n\n# 🤝 Team\n\n![uploaded image](/media/?type=post&id=90844&key=user_uploads/517544/534cdc99-2fcb-4227-894c-dac3dc7f46e1)\n\n[Yoav](https://www.linkedin.com/in/yoav-zimmerman-05653252/) previously founded Trendpop (YC W21) and scaled it to $1M ARR in the media/entertainment industry. Before that, he worked on machine learning at Google and AI startups.\n\n[Shourya](https://www.linkedin.com/in/shouryalala/) previously founded Fello (YC W22), an investment platform with over a million users and several million in annual investments. Before that, he worked at BlackRock building financial solutions for large institutional clients.\n\n# 🎯 Ask\n\nWe’re looking to meet anybody in **legal/business affairs** at a media/entertainment company, such as music, film, sports, or talent. If you have any friends in these departments that are drowning in work, give us a shout!\n\nEmail us at [founders@usethirdchair.com](mailto:founders@usethirdchair.com).\n\nCheck out more at [https://](https://usethirdchair.com)[usethirdchair.com](http://usethirdchair.com).\n\n![uploaded image](/media/?type=post&id=90844&key=user_uploads/517544/0dafca45-3df0-4fca-b61d-9d660150e423)\n\n",
        "url": "https://www.ycombinator.com/launches/NdE-third-chair-agents-for-in-house-legal-teams",
        "votes": 113,
        "created_at": "2025-05-29T14:21:57.850Z"
      }
    ]
  },
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    "id": 30506,
    "name": "Klavis AI",
    "slug": "klavis-ai",
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    "website": "https://www.klavis.ai/",
    "all_locations": "",
    "long_description": "Powering frontier AI labs with complex, long-horizon agentic coding and tool-use data.",
    "one_liner": "High Quality Coding & Agentic Data for AI labs",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1744314522,
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    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
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    "regions": [
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/klavis-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/klavis-ai.json",
    "year_founded": 2025,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/klavis-ai/",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 259581,
        "full_name": "Xiangkai Zeng",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Klavis AI. Previously Senior Software Engineer on Google Gemini at Google Deepmind. Co-authored Gemini paper. I have a CS MS from Carnegie Mellon University. I have a Bachelor of Engineering in Computer Science and Technology from Beihang University.",
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        "linkedin_url": "https://www.linkedin.com/in/xiangkai-zeng/",
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      {
        "user_id": 1906804,
        "full_name": "Zihao Lin",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Klavis AI \n\n1. Senior Software Engineer at Lyft, tech lead at Lyft recommendation team and Nordstrom data infra team, building product supports millions of users in the last 5 years.\n2. CS MS from Northeastern University, Bachelor of Engineering in Computer Science and Technology from Beihang University.\n3. The President of the Computer Science Student Council (CSSC) at Beihang University. Research Experience at the NLP Lab and Internship at Baidu.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zihao-lin-14137716b/",
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      {
        "id": 96767,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/klavis-ai/jobs/tEVtDPg-founding-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "Machine Learning",
          "LLMs",
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    "launches": [
      {
        "id": 90202,
        "title": "Klavis AI: Open Source MCP integrations for AI Applications",
        "tagline": "Klavis AI is open source MCP integrations for AI Applications. Our API provides hosted, secure MCP servers, eliminating auth management and client-side code.",
        "body": "![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfaf-JCp7xVd7cfcFqnv8fCZLojSwklRbqBbGneCbhutbc4iEcgcNNQ46j73KsOKaN3qH5fhVCVUQQpp696KnBWJfz5DnhcuS5nqKod2-9Fn2p-LJ3Yd9rEM9zIJg11ce5bTmkp-Q?key=HpOTxrRvVOxut3yp-iTaNhMb)\n\nHey Everyone 👋,\n\nWe are [Xiangkai](https://www.linkedin.com/in/xiangkai-zeng/) and [Zihao](https://www.linkedin.com/in/zihaolin123/) - co-founders of [Klavis AI](https://www.klavis.ai/).\n\n**TL;DR**\n\nKlavis AI provides [open source](https://github.com/Klavis-AI/klavis) MCP integration for AI applications. Integrate enterprise-grade MCP servers with your AI application in a minute, and scale to millions of users using our open-source, hosted MCP servers with multi-tenancy auth, and skip MCP client-side development hassle.\n\n**Ask:** Can you introduce us to companies working on AI agents and applications that need different external integrations? Contact us at [xiangkaiz@klavis.ai](mailto:xiangkaiz@klavis.ai).\n\nLaunch video: https://youtu.be/HFn5xWC6cAk\n\n**The Problem**\n\n* **Missing Native Authentication & User-based Authentication:** Lack of built-in and user-based authentications in MCP servers creates security risks and adds development complexity, hindering production use.\n* **Lack of Enterprise-Grade Servers:** Available MCP servers are frequently underdeveloped personal projects, lacking stability, features, and remote capabilities essential for enterprise environments.\n* **Client-Side Connection Barrier**: Accessing MCP servers requires developing the clients, creating technical overhead and hindering adoption, especially for existing function calling infrastructures that lack native MCP support.\n\n**The Solution**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcq7Lridm_hh7ACd4DFh6Zcsc38dMU3Kp8X9MdK55P_JuQVQ-ZMA6Pc75Qs7C0wc3vDdjlMOVmTCHNVZ-5MUpNbrLibGrFzzcARZme9csIpjPP5yENtddc01TW1newc1A1pGFepKw?key=HpOTxrRvVOxut3yp-iTaNhMb)\n\nKlavis AI solves these problems by:\n\n* **Secure, Enterprise-Grade Hosted Servers:** Launch stable, enterprise-grade MCP servers instantly via API. Our hosted solution includes built-in OAuth & multi-tenancy auth, eliminating security gaps and complexity.\n* **Skip Client Development Hassle:** Use our API to connect any remote MCP servers from your existing backend, or let users interact immediately through our pre-built Web, Slack, and Discord clients.\n* **Trust Through Open Source:** Our MCP servers and clients are open source, ensuring transparency and fostering community trust.\n\n**Concrete Example**\n\nImagine you want your AI agent to interact with your company's Jira. Instead of building a custom Jira integration and wrestling with authentication, use Klavis AI. With simple API calls, you instantly get a secure, hosted Jira MCP server ready to go. It handles OAuth and user-level authentications automatically, letting your AI securely query tickets right away – no MCP client coding required.\n\n**Why Us**\n\n![uploaded image](/media/?type=post&id=90202&key=user_uploads/259581/6621b1de-ea41-46f4-bc9e-97b0676a7c97)\n\nXiangkai previously worked as a Senior Software Engineer on the Google Gemini at Google Deepmind. His work involves building the function calling infrastructure for Gemini and supporting multiple Gemini agentic feature launches. The challenges in the MCP space resonate strongly with his background, and he's very excited to bring his insights and energy to accelerate innovation here.\n\nZihao previously worked on Lyft’s Rider team and Nordstrom’s analytical data platform team, with expertise in scaling systems for millions of users and NLP background from University and Master studies.\n\n**🙏 Our Asks**\n\n* **Share & Intro:** Can you share this post and introduce us to companies working on AI agents and applications that need different external integrations?\n* **Connect:** Email me at [xiangkaiz@klavis.ai](mailto:xiangkaiz@klavis.ai) if you’d like to learn more or chat.",
        "url": "https://www.ycombinator.com/launches/NSs-klavis-ai-open-source-mcp-integrations-for-ai-applications",
        "votes": 187,
        "created_at": "2025-05-08T15:47:33.275Z"
      }
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    "id": 30507,
    "name": "ParaQuery",
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    "website": "https://paraquery.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "ParaQuery is a fully-managed GPU-accelerated Spark solution providing double the performance at half the cost compared to solutions like Databricks and BigQuery. It is fully Spark-compatible, cloud agnostic, and has seamless integrations everywhere, all without vendor lock-in. ParaQuery makes it trivial to run large SQL and Spark workloads efficiently and serverlessly, without any data migrations.",
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    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1745603504,
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      "Big Data",
      "Enterprise Software",
      "Infrastructure"
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/paraquery",
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        "user_id": 1091672,
        "full_name": "Win Wang",
        "title": "Founder/CEO",
        "founder_bio": "Focused on efficiency, effectiveness, and (user) experience.\nPreviously a tech lead @ Twitter, building massively-parallel distributed build systems.\nNow building a cheaper, faster big data platform by using the right hardware for job. Fully-managed, GPU-accelerated, petabyte-scale at double the speed and half the cost.\n",
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      {
        "id": 90162,
        "title": "ParaQuery - 5x your data warehouse's efficiency",
        "tagline": "ParaQuery is the GPU-accelerated Spark + SQL engine for your big data needs.",
        "body": "![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/94e086c6-918d-4975-94ca-5aece8bff85a)\n\nHey, I'm Win, founder of [ParaQuery](http://www.paraquery.com).\n\nWe're building a bigger query engine with up to 5x cost efficiency compared to BigQuery by using cost-efficient cloud GPUs.\n\n**Ask:** Do you know someone optimizing their data warehouse? Email [win@paraquery.com](mailto:win@paraquery.com) or sign up [here](https://paraquery.com/waitlist)!\n\n**4x'ing** BigQuery efficiency with ParaQuery: <https://www.youtube.com/watch?v=uu379YnccGU> \n\n# **The Problem**\n\nData is the new oil and you're feeding your products with a bunch of it. But to do so, you need to build, maintain, and optimize your data infra. That's either a huge timesink, or you're bleeding cash to ignore it, or someone is breathing down your neck about this month's cloud bill. Why can't we just ship features?\n\n![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/419acb3d-1195-4842-a80e-df02ac0d332f)\n\nWhether it's those 20-minute+ Presto queries, or your exploding BigQuery bill (which happens to be tracked in real time), your data infra is letting you down.\n\n# **Our Solution**\n\nParaQuery runs on highly-parallel, throughput-optimized cloud-available hardware, perfect for data processing workloads: **GPUs**!\n\nOur system abstracts out the infra required to serverlessly accelerate your logic. With the extreme efficiency of GPUs, it's half the cost and double the performance of competing solutions like Databricks and BigQuery, without any platform commitments.\n\nFor SQL-based data warehouses like BigQuery, you can use ParaQuery with minimal changes to your queries. And since it's fully Spark-compatible, there's no vendor lock-in. It integrates with literally anything which has a Spark connector, on any major cloud. We can even deploy on GPU clouds.\n\nParaQuery makes data processing as simple as specifying:\n\n1. Inputs\n2. Output\n3. Logic\n4. Run!\n\n![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/a6cded39-2da7-432b-9129-014a593caaae)\n\n# **Why?**\n\nI've been looking into GPUs and parallel programming for over 12 years – starting out with crypto. I left that field pretty fast, but I never stopped thinking about efficient compute and GPU acceleration. Even more so when, years later, I had to wait for my laptop to finish 18-hour physics simulations. And during my professional career, I've also had to wait on my fair share of 20-minute+ analytical queries.\n\nIn fact, I hate waiting. ParaQuery is productizing an arbitrage of hardware efficiency, and I'm not waiting any longer to do so.\n\n# **Ask**\n\n1\\. If you know anyone who is running any big data processing scenarios (including MLOps), I'd love to learn more about their use case and see if we're a fit! \n\n2\\. If you want to try it out, sign up for our waitlist at [www.paraquery.com](http://www.paraquery.com), or just email me ([win@paraquery.com](mailto:win@paraquery.com))",
        "url": "https://www.ycombinator.com/launches/NSE-paraquery-5x-your-data-warehouse-s-efficiency",
        "votes": 51,
        "created_at": "2025-05-07T02:14:51.329Z"
      }
    ]
  },
  {
    "id": 30510,
    "name": "Cactus Compute",
    "slug": "cactus-compute",
    "former_names": [
      "Cactus"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38edcfba2831cce5f05a5da045992ae4f758e655.png",
    "website": "https://www.cactuscompute.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "On-device AI for phones, wearables, smart home and small robots. ",
    "one_liner": "Automation Foundation Models For Tiny Devices",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1752189935,
    "tags": [
      "Developer Tools",
      "Hard Tech",
      "Open Source",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We met through YC co-founder matching in London four years ago!"
      }
    ],
    "url": "https://www.ycombinator.com/companies/cactus-compute",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/cactus-compute.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cactus-compute/",
    "x_url": "https://x.com/cactuscompute",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/cactus-compute",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/38edcfba2831cce5f05a5da045992ae4f758e655.png",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 1131467,
        "full_name": "Roman Shemet",
        "title": "Founder/CEO",
        "founder_bio": "Former quant & economist with a background in product and data engineering. Pilot, triathlete, chess enthusiast. Working on mobile inference @ Cactus.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/roman-shemet/",
        "x_url": "https://x.com/romanshemet",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1991f894485f13d07f1c9e71688c42ddf1c63296.jpg"
      },
      {
        "user_id": 901131,
        "full_name": "Henry Ndubuaku",
        "title": "Founder/CTO",
        "founder_bio": "Author of \"Maths, CS & AI Compendium\"",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/henry-ndubuaku-7b6350b8",
        "x_url": "https://x.com/Henry_Ndubuaku",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/979686e7135b71cdb313d9af81830f6052dd572b.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Whistle: Speech to Text in 16.9 MB",
        "url": "https://cactuscompute.com/blog/whistle",
        "date": "Oct 01, 2026"
      },
      {
        "title": "Needle 3: 8-29 MB foundation model for tiny devices ",
        "url": "https://cactuscompute.com/needle",
        "date": "Sep 15, 2026"
      }
    ],
    "launches": [
      {
        "id": 92059,
        "title": "Cactus 🌵: Deploy AI models locally on smartphones",
        "tagline": "Cross-platform open-source framework for deploying LLMs, VLMs, Embedding, and other models locally in your apps.",
        "body": "# TL;DR\n\nDeploy AI models locally, privately, and offline in any app using Cactus. Cactus is a blazing-fast inference engine optimized for smartphones and comes with React Native, Flutter, and Kotlin bindings.\n\nhttps://youtu.be/xwKrmYkJZD8\n\n# Our framework:\n\nCactus is a cross-platform & open-source framework for doing inference on smartphones, wearables, and other low power devices. It supports any LLM or VLM available on HuggingFace directly.\n\nThe recently released Google AI Edge and Apple Foundation Frameworks are platform-specific and primarily support specific models from the companies.\n\nTo this end, Cactus:\n\n* Is available in Flutter and React-Native for cross-platform developers, since most apps are built with these today.\n* Supports any GGUF model you can find on Huggingface; Qwen, Gemma, Llama, DeepSeek, Phi, Mistral, SmolLM, SmolVLM, InternVLM, Jan Nano etc.\n* Accommodates from FP32 to as low as 2-bit quantized models, for better\n\n  efficiency and less device strain.\n* Have MCP tool-calls to make models performant, truly helpful (set reminder, gallery search, reply messages) and more.\n* Fallback to big cloud models for complex, constrained or large-context tasks, ensuring robustness and high availability.\n\nSo far, our customers have built:\n\n* Personalised and private RAG and prompt-enhancement pipelines for their app users.\n* Offline fallback for the big remote AI models.\n* Phone tool use agents like gallery & calendar management.\n* AI for medical and other privacy-pertinent industries.\n\n![uploaded image](/media/?type=post&id=92059&key=user_uploads/1131467/bd9fc810-5239-41b7-90ac-bf6d1686bb3c)\n\n# Some demos:\n\n**LLMs and embedding models**\n\n![uploaded image](/media/?type=post&id=92059&key=user_uploads/1131467/0f36edcb-6e65-408f-b30b-a920b37a0aa0)\n\n**Real-time vision inference**\n\n![uploaded image](/media/?type=post&id=92059&key=user_uploads/1131467/24403145-da55-4c01-ad60-8472f49b439d)\n\nTell us how we can make it great!\n\nRepo: https://github.com/cactus-compute/cactus \\\nDiscord: https://discord.gg/nPGWGxXSwr",
        "url": "https://www.ycombinator.com/launches/Nwp-cactus-deploy-ai-models-locally-on-smartphones",
        "votes": 41,
        "created_at": "2025-07-11T19:13:56.052Z"
      }
    ]
  },
  {
    "id": 30513,
    "name": "Eloquent AI",
    "slug": "eloquent-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/af87e3855cde7932b789b7149e717ec9f587f704.png",
    "website": "https://www.eloquentai.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We automate complex, regulated operations in financial services—no APIs, no engineering required.\r\nWe hit $500K ARR in just four weeks because customers deploy instantly.\r\nOur AI Operator learns by observing existing workflows and SOPs, securely controlling browser and desktop applications to automate up to 96% of tasks.\r\n",
    "one_liner": "The AI Operator for Financial Services",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1743955975,
    "tags": [
      "Fintech",
      "B2B",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/eloquent-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/eloquent-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/eloquentai/",
    "x_url": "https://x.com/EloqAI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/eloquent-ai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/af87e3855cde7932b789b7149e717ec9f587f704.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/014c5701990a6af5ee91c66a5f02cf30cab16903.png"
    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 2611648,
        "full_name": "Tugce Bulut",
        "title": "Founder/CEO",
        "founder_bio": "Tugce is the co-founder of Eloquent AI and a serial entrepreneur. Previously, she founded Streetbees, scaling it into a 200-person global AI company with $80M in VC funding and multi-million dollar enterprise deals with Fortune 500 clients. \n\nShe began her career as a strategy consultant, advising tech companies on GTM strategy. A Cambridge-trained economist and published author, she’s received numerous awards including Deloitte Fast 50, WEF Tech Pioneer and EY Entrepreneur of the Year (London).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tugcebulut/",
        "x_url": "https://x.com/TugceBulut",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/472ac8cdc4e8557c2a32010f2fb911fed721275b.jpg"
      },
      {
        "user_id": 2558812,
        "full_name": "Aldo Lipani",
        "title": "Founder",
        "founder_bio": "Aldo is the Co-founder at Eloquent AI, and a Professor of Machine Learning at UCL. His research focuses on LLMs, simulation-based evaluation, and cost-effective training methods like instruction modeling. He holds a PhD from TU Wien and has worked with NIST, Microsoft Research, NII Tokyo, and Nvidia. Aldo has also advised startups and enterprises on building reliable, real-world AI systems.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aldo-lipani",
        "x_url": "https://x.com/aldolipani",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/379b7e46deb8f744c6b7f6d42a45fa6e608b27d4.jpg"
      }
    ],
    "jobs": [
      {
        "id": 79140,
        "title": "AI Engineer, Multimodal LLMs",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/2eWGivc-ai-engineer-multimodal-llms",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79141,
        "title": "AI Engineer, Agent",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/2xwyYHg-ai-engineer-agent",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79142,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/H6NdVAs-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79143,
        "title": "Software Engineer, Front-End",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/PITFKFM-software-engineer-front-end",
        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $100K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79144,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/crOhZol-product-designer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79146,
        "title": "AI Engineer, AIOps & Infrastructure",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/aCloWFq-ai-engineer-aiops-infrastructure",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79147,
        "title": "Eloquent AI Fellowship Program",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/M0fvU2k-eloquent-ai-fellowship-program",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79148,
        "title": "Senior Software Engineer, Full-Stack",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/0qOJ5mE-senior-software-engineer-full-stack",
        "location": "San Francisco / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79149,
        "title": "AI Engineer, Platform",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/sJHxcvc-ai-engineer-platform",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Eloquent AI raises $7.4m to bring AI operators to financial services",
        "url": "https://www.eloquentai.co/fundraising",
        "date": "Dec 09, 2025"
      },
      {
        "title": "\n\tEloquent AI raises $7.4m to automate FS customer support\n",
        "url": "https://www.finextra.com/newsarticle/46583/eloquent-ai-raises-74m-to-automate-fs-customer-support",
        "date": "Sep 12, 2025"
      },
      {
        "title": "Eloquent AI: round da 7,4 milioni per semplificare l’assistenza cliente delle banche - la Repubblica",
        "url": "https://www.repubblica.it/tecnologia/2025/09/09/news/eloquent_ai_round_da_74_milioni_per_semplificare_l_assistenza_cliente_delle_banche-424835468/",
        "date": "Sep 09, 2025"
      },
      {
        "title": "YC Founder Raised $7.4 Million for Eloquent AI. Read Her Pitch Deck. - Business Insider",
        "url": "https://www.businessinsider.com/eloquent-ai-y-combinator-founder-oversubscribed-seed-pitch-deck-2025-9",
        "date": "Sep 07, 2025"
      },
      {
        "title": "💭 What is Eloquent AI, and why should you pay attention?  Tugce Bulut’s latest venture Eloquent AI",
        "url": "https://www.linkedin.com/posts/hugotilmouth_what-is-eloquent-ai-and-why-should-you-activity-7313443897840431104-qILE/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAABPuFIBSaL4x68RH3VmwAKp1Sfp_HPDaVw",
        "date": "May 12, 2025"
      }
    ],
    "launches": [
      {
        "id": 90355,
        "title": "Eloquent AI: The AI Operator for Financial Services",
        "tagline": "Automate complex, regulated support operations end-to-end for compliant and reliable customer services.",
        "body": "**🎯TL;DR**\n\nEloquent AI is the first AI Operator built specifically for financial services to automate complex, regulated customer service operations beyond frontline support. \n\nOur AI Operator learns to securely navigate your existing systems simply by observing your standard operating procedures (SOPs)—automating up to 96% of tasks without any engineering effort.\n\n[Introducing Eloquent AI](https://youtu.be/vsPg2VFtSt4)\n\n**🙏Our Ask**\n\n**If you’re running a fintech or insurtech and looking to automate customer service operations, we’d love to help.** Just reach out at [founders@eloquentai.co](mailto:founders@eloquentai.co).\n\n**❌ The Problem**\n\nFinancial institutions want AI-driven efficiency, yet adoption remains below 1%. Why? Generic AI agents fail in regulated environments due to: \n\n↳ Constant hallucinations \n\n↳ Compliance risks\n\n↳ Heavy engineering requirements stalling action automation\n\nFinancial services require AI built specifically for regulated workflows—seamlessly integrated into legacy systems, delivering reliable actions, not dead-end conversations.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/abf0478b-90df-4099-ada2-236b3510cb84)\n\n**✅ Eloquent AI: End-to-end customer support automation. Zero APIs required.**\n\nUnlike  generic AI agents, Eloquent AI goes beyond frontline support to fully automate customer support end-to-end. Instead of relying on cumbersome API integrations that require long dev cycles, our AI Operator learns directly from observing your SOPs and team’s actions, securely navigating your internal systems exactly as human agents do.\n\n**Automate complex, multi-party workflows**—unfreeze accounts, handle AML/KYC checks, adjust repayments, or update claim statuses without escalations.\n\n**Deploy rapidly with no internal engineering required**—Eloquent AI learns securely by observing your team through multimodal technology, enabling our operator to reason and interact across both language and visual inputs.\n\n**Ensure compliance effortlessly** with our proprietary LLM, Oratio, trained specifically on your financial regulations for secure, auditable interactions.\n\n**Integrate seamlessly**—connect AI directly to your CRM, databases, and support platforms for chat, voice and email support.\n\n**Confidently resolve complex queries**, ensure accurate routing, and eliminate hallucinations through continuous simulation and rigorous evaluation.\n\n**🚀 The Impact**\n\nTrusted by leading financial institutions, Eloquent AI drives immediate operational efficiency:\n\n* **24/7 Coverage:** Consistent, high-quality customer experience across all channels.\n* **Up to 96% Automation**: Scalable automation handling nearly all regulated customer requests.\n* **4x Cost Reduction:** Significant operational savings, achievable in weeks.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/9e7d65b6-d1d6-4728-895e-c7d72e1444f7)\n\n## **See What Eloquent AI Can Do For You**\n\nTired of wrestling with generic AI and manual workflows? Eloquent AI gives you fully automated, compliant customer operations—with zero coding required.\n\n📅 Book your demo: https://calendly.com/tugce-eloquentai/demo\n\n📬Reach us directly: [founders@eloquentai.co](mailto:founders@eloquentai.co)\n\n**Founders**\n\nEloquent AI is founded by [Tugce Bulut](https://www.linkedin.com/in/tugcebulut/), a second-time entrepreneur with deep expertise deploying large-scale AI solutions for Fortune 500 enterprises, and [Dr. Aldo Lipani](https://www.linkedin.com/in/aldo-lipani/), a Machine Learning professor, who also runs a research lab specializing in multimodal LLMs.",
        "url": "https://www.ycombinator.com/launches/NVL-eloquent-ai-the-ai-operator-for-financial-services",
        "votes": 777,
        "created_at": "2025-05-13T16:56:25.704Z"
      }
    ]
  },
  {
    "id": 30515,
    "name": "Cashew Labs",
    "slug": "cashew-labs",
    "former_names": [
      "Saffron Health",
      "Libretto"
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    "website": "https://cashew-labs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cashew Labs builds open source tools for recursive self improvement. Their tools enable self-modifying interfaces and LLMs that post-train themselves.",
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        "full_name": "Michael Kronovet",
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        "founder_bio": "Co-founder of Cashew Labs. ML engineer. Formerly led Palantir's work with the US State Department.\n\nLearn more about me here: https://michaelkronovet.com",
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        "full_name": "Tanishq Kancharla",
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      {
        "id": 95206,
        "title": "Saffron Health: AI-powered care coordination for primary care",
        "tagline": "AI agents that fully automate specialist referrals",
        "body": "Primary care providers make over 100 million referrals to specialists every year, leading to tens of millions of hours in manual coordination work. We built AI agents to automate the entire specialist referral process for primary care groups.\n\n[**https://youtu.be/LqlDMjHARl0**](https://youtu.be/LqlDMjHARl0**)\n\n## **Problem**\n\nManaging specialist referrals is one of the most time-consuming workflows in primary care. Staff must manually copy data between systems, complete prior authorizations, call specialists to verify information and request medical records, and coordinate with patients.\n\nMany clinics are forced to hire or outsource their referrals, but they’re still understaffed. As a result, referrals often never get sent, are returned for missing authorizations, or go to out-of-network providers. Nonetheless, poor referral management has significant consequences:\n\n* In value-based care models, specialist routing has a massive impact on medical spending. Out-of-network costs and unnecessary procedures are major cost drivers.\n* Groups that depend on federal funding or grants, like FQHCs, can lose funding due to poor referral follow-through.\n* Patients who experience delays in care because of referrals are likely to churn and find a new primary care provider.\n\n## **Product**\n\nWe partnered with a network of rural health clinics in west Texas to understand the specialist referral process. We started by manually handling referrals, then built AI agents to automate the whole workflow. Our agents are live across the network, where we’ve:\n\n* Sped up referral processing time by 82%\n* Found available appointment times that were 55% sooner\n* Led to 44% fewer referral kickbacks\n\n## **Team**\n\n![uploaded image](/media/?type=post&id=95206&key=user_uploads/1184840/3e4114e5-24ec-4c32-af9c-37c3848f300c)\n\nTanishq Kancharla has worked in startups throughout his career. He was a product engineer at Shortwave, leading development on their iOS and Desktop apps, used by tens of thousands of people. Prior to this he double majored in physics and computer science at Carnegie Mellon.\n\nMichael Kronovet was technical lead overseeing Palantir's work with the US State Department, quadrupling annual revenue without increasing headcount. Previously, he built causal inference models at a healthcare startup. He graduated in 3 years from Carnegie Mellon with a BS in statistics and machine learning.\n\n**Our Ask**\n\nIf you know anyone who works in or adjacent to primary care we’d love to be connected!\n\n* Some examples: people who work in MSOs, ACOs, primary care groups, RHCs, FQHCs or payor/insurance groups.",
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        "created_at": "2025-11-05T16:42:51.464Z"
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    "all_locations": "New York City, NY, USA",
    "long_description": "ValueMate’s LiDAR-plus-AI app captures a property in a three-minute walkthrough and delivers a regulator-ready report on our dashboard, slashing cycle times by 80% for the valuation firms already on board.\r\n\r\nIn the next few months, every bank, AMC, and independent appraiser must switch to the new format or watch loans pile up. ValueMate handles the transition end-to-end, with zero tape measures, zero data entry, and zero closing delay.\r\n\r\nWe’re transforming the multi-billion dollar appraisal industry with technology that captures millions of 3D data points per walkthrough.",
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        "full_name": "Anir Prativadi",
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        "full_name": "Pietro Demicheli",
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        "founder_bio": "Building an AI engine for the appraisal industry at ValueMate | Built derivatives + staking infrastructure supporting >$300M peak TVL at TruFin | Studied Artificial Intelligence at Carnegie Mellon University",
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        "full_name": "Vivek Isukapalli",
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        "founder_bio": "Co-Founder @ ValueMate (YC X25) | Prev Co-Founder @ CollectWise (YC F24) | Carnegie Mellon University",
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        "title": "ValueMate - AI Real Estate Appraisals 🏡 📱",
        "tagline": "ValueMate automates real estate appraisals with AI.",
        "body": "# **The Problem**\n\nEvery time a home is sold, refinanced, or undergoes any transaction, multiple parties, including the government, use appraisals. This is a tedious process, as anyone who’s had an appraisal done knows. It can take days end-to-end and weeks to turn around. It will only get worse when Fannie Mae and Freddie Mac enforce longer reports and more detail come September, blowing up the appraisal industry. Not with ValueMate.\n\nhttps://youtu.be/-2y0tZhtPHY\n\n**ValueMate**\n\nWe’ve built software to take a LiDAR scan of a property with a phone, generate a 3D model and 2D floor plan on-the-fly, take audio-and-video notes on the walkthrough, then immediately draft up a near-final version of the appraisal report waiting for the appraiser back at the office. From inspection to report in minutes, bringing turnaround times from days and weeks to hours. Here’s a testimony from a customer:\n\n> _ValueMate completely transformed our workflow — I honestly can’t believe how much faster we’re working. No more wasted hours on templates, data entry, or switching between tools. It’s unreal. Our reports are cleaner, our data’s accurate, and we’re already set for UAD 3.6. If you’re not using ValueMate ASAP, you’re going to get left behind — especially with the new regulations coming._\n\n\\- Nick Conteduca, CSO | Banks Valuation\n\n# **Team**\n\nAnir and Pietro are best friends from Carnegie Mellon, where they studied AI together.\n\n![uploaded image](/media/?type=post&id=90760&key=user_uploads/2487902/0006365e-6505-4d8b-b030-112b07c6c4c5)\n\n# **TL;DR**\n\n**⏱️ From days to a scan:** ValueMate enables appraisers to significantly increase daily inspections, reducing turnaround times from days and weeks to hours. We’re the only company revolutionizing the entire appraisal lifecycle with AI, end-to-end.\n\n**📅 Regulatory Tailwind:** The upcoming UAD 3.6 standard, mandated by Fannie Mae and Freddie Mac for all new appraisals, requires more detailed and standardized reporting, creating a pressing need for compliant solutions.\n\n**💼 Enterprise Adoption:** Valuation firms are already leveraging ValueMate to enhance efficiency and ensure compliance with upcoming standards.\n\n![uploaded image](/media/?type=post&id=90760&key=user_uploads/2487902/99c755ff-8cae-42b5-b1a1-7025bb97b19f)\n\n# **Ask**\n\n**If you know anyone who’s a lender, works with a valuation firm, or deals with appraisals, we’d love to get in touch.** We can set them up with a future-proof solution that will significantly speed up their workflow.\n\n**Reach us at [founders@valuemate.ai](mailto:founders@valuemate.ai)**",
        "url": "https://www.ycombinator.com/launches/Nbs-valuemate-ai-real-estate-appraisals",
        "votes": 38,
        "created_at": "2025-05-27T02:48:20.344Z"
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    "name": "Orchid",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Orchid is an executive assistant that lives in iMessage. It texts you your day each morning, drafts your replies, and books your meetings. You approve, it handles the rest.\r\n\r\nIf you've ever wished for a world-class EA, come talk to us.",
    "one_liner": "A personal EA in your iMessage",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
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    "batch": "Spring 2025",
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      "America / Canada",
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    "year_founded": 2025,
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    "country": "US",
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        "full_name": "Nizar Abi Zaher",
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        "founder_bio": "co-founder of Orchid",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nizar-abi-zaher-801462272",
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        "full_name": "Adam Wazzan",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Mail0 / Zero Email / Orchid / Keiki",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ajxb/",
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        "id": 90228,
        "title": "Zero – AI Native Email",
        "tagline": "Zero is an AI native email client that manages your inbox, so you don't have to",
        "body": "**TL;DR:** Zero is an open source AI-native email client that organizes your inbox, summarizes threads, writes replies, and lets you chat with your email, so you can stay effortlessly on top of work.\n\n**What is Zero and how does it work?**\n\nZero makes email work for you, not the other way around (checkout our launch video below!).\n\n[Launch Video](https://youtu.be/3Hy3jEQQVFQ)\n\nZero uses AI to:\n\n* **Prioritize** emails and surface what matters most\n* **Summarize** long email threads into quick takeaways\n* **Draft** and **Reply** to emails automatically\n* **Organize** your inbox into smart categories, let you chat with your inbox, understand projects, and plan your day.\n\n![uploaded image](/media/?type=post&id=90228&key=user_uploads/2556219/4f2601b3-7b85-4447-8b75-9f78c3d6c314)\n\n**Problem**\\\nTraditional email clients are outdated and passive. They overload you with notifications, bury important messages, and force you to manually manage threads, tasks, and follow-ups. Meanwhile, most “AI” email tools are just bolt-on features, slow, clunky, and unaware of the full context of your inbox.\n\n**Our Solution**\\\nZero is built from the ground up as an **AI-native email platform**. That means every part of your experience, from prioritization to replies, is powered by a deep understanding of your inbox and your workflow. Zero doesn’t just help you **handle** email, it helps you get **ahead** of it.\n\n* AI that thinks like a human assistant, not a search algorithm\n* Real-time summaries and smart organization that adapts to your day\n* A seamless way to interact with your email through natural conversation\n* Fully open source for complete transparency\n\n**Try Zero**\n\nInstead of drowning in an endless stream of emails, Zero gives you a live, intelligent inbox you can actually control.\n\nWe just launched our public beta at [**0.email**](http://0.email).\n\nIf you’d like to chat with us or learn more:\n\n📅 Book a meeting: [**https://cal.com/team/0/chat**](https://cal.com/team/0/chat)\n\n📧 Email us: [**founders@0.email**](mailto:founders@0.email)",
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        "votes": 304,
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    "id": 30519,
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    "website": "https://www.hemut.com/",
    "all_locations": "Fresno, CA, USA",
    "long_description": "Next-generation truck management software to automate back-office operations for trucking companies. Features include AI agents to automate inbound/outbound calls, AI document upload to reduce manual data entry, load sourcing tools, automated accounting, and more.",
    "one_liner": "AI-powered operating system for trucking companies.",
    "team_size": 3,
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    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1747261239,
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    "year_founded": 2024,
    "city": "Fresno",
    "country": "US",
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        "full_name": "Loki Cheema",
        "title": "Founder/CEO",
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        "id": 85034,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/hemut/jobs/iK31Hos-software-engineer",
        "location": "Pune, MH, IN / Pune, Maharashtra, IN",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹800K - ₹1M INR",
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        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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        "id": 90499,
        "title": "Hemut: AI-Powered Truck Management Software",
        "tagline": "Legacy Logistics, Rebuilt with AI.",
        "body": "**TL;DR:** AI-powered truck management software to automate back-office operations for trucking companies.\\\n[**Check us Out!**](https://drive.google.com/file/d/18BF2PM5YkSSTOXs9yqM_CQ0jv2Gy9xFD/view?usp=sharing)\n\n**The Problem and Solution:**\n\nTrucking has always been a mission critical industry, with nearly 70% of all US goods hauled via trucks, resulting in a need for continuous operations. This results in an industry that hasn’t paused for a tech update in years; in my time in the industry, I saw dozens of offices running on pen and paper or excel spreadsheets, documents being sent in WhatsApp group chats connected to printers, and I myself had 3 phones all on hold menus with different people. And even the largest of companies today navigate a maze of outdated, poorly integrated point-solutions.\n\nSo, alongside Anthony and Sam, I decided to build a product that rectifies those problems. With Hemut’s software, you can replace pen and paper scribbles with intuitive oversight of even national level fleets, replace the WhatsApp group chats and manual data entry with AI document parsing, and eliminate the need for 3 phones with AI agents to automate inbound/outbound calls. With Hemut, trucking companies can execute every step of the trucking workflow—from finding and booking a shipment, driver communication, and logging every last dollar—all on one platform, with efficiency never seen before.\n\n**The Story:**\n\nAt 16 years old, I got kicked out of my home and faced homelessness, working 100-hour weeks at a motel where I met a truck driver who I eventually helped file paperwork for. Siezing the opportunity, I also helped file paperwork for his friends too, eventually saving enough money to start dispatching trucks and put a roof over my head.\n\nFast forward 6 years to the end of 2024, I realized that voice AI would eventually be capable enough to automate a lot of the bottlenecks I encountered during my time in the logistics industry.\n\n**Our Ask:**\n\nAlways looking to learn about the cutting edge of tech and the people driving the innovation so feel free to say hi. If you also happen to know anyone in the trucking industry (veteran trucker. investor, or dev), we’d love to be introduced!\n\n**Contact:** [cheema@hemut.com](mailto:cheema@hemut.com)\n\n![uploaded image](/media/?type=post&id=90499&key=user_uploads/89898/fd722801-3fb0-4651-b446-faffc18ea6d3)\n\n",
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        "created_at": "2025-05-22T20:51:17.235Z"
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    "name": "Synthetic Society",
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        "id": 92732,
        "title": "Synthetic Society | Synthetic Users to Simulate Real Users",
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        "body": "## TL;DR\n\nSynthetic Society deploys AI-driven synthetic users to proactively catch bugs, UX flaws, and broken flows before real users experience them. Eliminate manual testing, accelerate your release cycles, and ship confidently.\n\n## Who We Are\n\nWe’re Aaron and Kavan, competitive programmers who met in high school, bonded over building, and never stopped. After a few years as product engineers, we dropped out of Columbia and MIT to build Synthetic Society. \n\n## The Problem\n\n* With AI codegen, teams are pushing features faster than ever. Unfortunately, they’re also pushing bugs, bad design, and broken flows just as fast.\n* Traditional testing practices are slow, resource intensive, and error prone. \n* These inefficiencies lead to frustrated end-users, decreased user retention, increased churn, and ultimately, loss of competitive advantage and revenue.\n\n## Our Solution\n\n**Synthetic Society deploys swarms of synthetic users that mimic real user behaviors to proactively catch bugs, UX flaws, and edge cases.**\n\n**Vibe-code with confidence, knowing that the self-updating end-to-end flows are protecting you with every change you make.**\n\nhttps://youtu.be/DD8efBypfS4 \n\nCheck out our website: https://syntheticsociety.ai/ \n\nGet in touch: [aaron@syntheticsociety.ai](mailto:aaron@syntheticsociety.ai)\n\n![uploaded image](/media/?type=post&id=92732&key=user_uploads/524053/02a68466-2478-4701-8ab6-d54307535a57)\n\n",
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    "website": "https://usenaive.ai",
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        "url": "https://www.ycombinator.com/companies/naive/jobs/rpnVz7a-founding-growth-engineer",
        "location": "Mountain View, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $180K",
        "equity_range": "2.00% - 4.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 110961,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/naive/jobs/CGCujyp-founding-product-engineer",
        "location": "Mountain View, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
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          "Next.js"
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        "id": 110962,
        "title": "Founding Member of Technical Staff — RL",
        "url": "https://www.ycombinator.com/companies/naive/jobs/OTnFKjw-founding-member-of-technical-staff-rl",
        "location": "Mountain View, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $225K",
        "equity_range": "2.00% - 4.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "LLMs",
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        "id": 110963,
        "title": "Founding Member of Techincal Staff - Agents",
        "url": "https://www.ycombinator.com/companies/naive/jobs/qOwzkq2-founding-member-of-techincal-staff-agents",
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        "id": 98930,
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    "id": 30523,
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        "body": "Hey YC, we’re [João](https://www.linkedin.com/in/joaopdepaula/), [Lucas](https://www.linkedin.com/in/lucasbrunosilva/), and [Sergio](https://www.linkedin.com/in/sergio-bergmann/), cofounders of [**Mesmer**](http://mesmer.co/) — **Cursor for CTOs.**\n\nhttps://www.youtube.com/watch?v=TMO7TQUZIuU\n\nWe’re **repeat founders and CTOs behind startups like Glio (S13) and [Origin Financial](http://useorigin.com/) ($400M)**. In every team we built, we ran into the same challenge: each new customer, employee, and feature made it harder to understand what was actually going on. We spent our days in back-to-back meetings and chasing status updates, and forced our teams to do busywork just to keep us in the loop. **Yet we still didn’t see problems until something broke**.\n\nAI is already making the 10x engineer possible. But there’s no solution that helps **product development orgs — and product leaders — 10x themselves**. That’s what we’re building.\n\n# **Enter Mesmer**\n\n**Mesmer gives founders and CTOs full context on their org without drowning in meetings or chasing people for updates**. It watches the work itself — code, specs, designs, meetings — to build a live, detailed picture of what’s going on. Our customers can keep their teams fast, flat, and focused as they scale — and free from busywork.\n\n![uploaded image](/media/?type=post&id=90395&key=user_uploads/178/c0f0220d-62be-4e38-9246-ecd3c2493a79)\n\nWe are starting with **an AI chief of staff for product development orgs**. Every week, it delivers a report showing what actually happened across all in-flight projects: what moved forward, what shipped, and what’s stuck. Founders and CTOs can then ask questions and get in-depth answers based on their team’s actual code, specs, and designs, like:\n\n* Why is this project slipping?\n* Who’s the best engineer to unblock it?\n* What architecture did we use in this repo?\n* How does the business logic work for this categorization engine?\n* What changed in the roadmap last week?\n\n**We’re already live with 10+ companies worth over $3B** and have reviewed over 70M lines of code along the way. We’d love to help you, too.\n\n# **Special Offer**\n\nWe’re onboarding companies as fast as we can, but, if you’re a CTO leading a team of 20+ engineers (or know someone who is) **email me at [joao@mesmer.co](mailto:joao@mesmer.co) and we’ll skip the line** to help you run a flat, fast, focused org right away.\n\n![uploaded image](/media/?type=post&id=90395&key=user_uploads/178/0a177036-5476-45b7-bd33-cfd2b5fb72a3)\n\n",
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        "body": "Hi everyone! We are [Kyle](https://www.linkedin.com/in/kyle-reagan-surfs/) and [Aaron](https://www.linkedin.com/in/aaroncarver/), co-founders of [chrt.com](https://chrt.com). We’re helping businesses deliver and track their most critical same-day shipments.\n\nhttps://youtu.be/EJfOqCY06rw\n\n**🎯 Who is it for?**\n\n* Industrial manufacturers and healthcare companies that need white-glove, same- or next-day delivery with live tracking — for shipments such as life‑saving therapeutics or mission‑critical production parts\n* Courier companies and freight forwarders that want to provide their customers with end-to-end tracking and custom workflows\n\n**⛔️ Problem:**\n\n* Businesses shipping critical items depend on outdated freight forwarders\n* Two-thirds of these forwarders’ staff are call-center agents coordinating shipments across thousands of professional courier companies\n* Call center agents rely on phone and email to reach couriers\n* With no real-time tracking, shipment status is unknown, causing frequent failures and delays\n* Your life-or-death shipment? Tracked worse than a pizza\n\n**✅ Solution:**\n\n![uploaded image](/media/?type=post&id=90745&key=user_uploads/1381778/dc006314-7ec3-4274-afff-89ca44a92b31)\n\nchrt is the all-in-one platform for time-critical logistics\n\n* 📦 Businesses place urgent shipments on [**chrt.com**](http://chrt.com)\n* 🚛 chrt matches a vetted provider for pickup and delivery\n* 📱 Couriers execute the job entirely through chrt’s mobile app\n* 📍 Real-time tracking and custom workflows provide complete shipment visibility\n* ⚡ Automation slashes overhead, delivering faster, cheaper, and more reliable service\n\n**🙋‍♂️ About us:**\n\nWe’re software engineers that became friends years ago at McKinsey. Kyle is an expert in time-critical logistics, having led strategy at a leading startup in the space. Aaron led gen AI deployment projects at Deloitte, launching AI projects for clients like the Department of Defense. We were shipping code together on nights and weekends for years before CHRT; now we’re also shipping freight.\n\n**🙌 How to help us:**\n\n**If you have or handle time-critical shipments (or know someone who does) we would love to get connected**. We’ll help you ship your most complex and important orders same-day.\n\n📧 Email us: [**founders@chrt.com**](mailto:founders@chrt.com)\n\n![uploaded image](/media/?type=post&id=90745&key=user_uploads/1381778/7e53965b-b0da-4f03-b2fa-d57d74b931d1)\n\n",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.20% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 95701,
        "title": "AI Researcher",
        "url": "https://www.ycombinator.com/companies/mindfort/jobs/HV2EzUk-ai-researcher",
        "location": "Los Angeles, CA, US / Remote (US)",
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        "visa": "US citizen/visa only",
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      {
        "id": 90555,
        "title": "MindFort.ai - Fully Autonomous Security Agents",
        "tagline": "Fully autonomous security agents that find, validate, and patch vulnerabilites 24/7",
        "body": "![uploaded image](/media/?type=post&id=90555&key=user_uploads/525065/9bbd9d91-5dba-43e0-9412-2c45bac5782a)\n\nHey everyone! 👋 We're Brandon, Sam, and Akul - Co-founders of [MindFort.ai](http://MindFort.ai).\n\nWe're building fully autonomous AI security agents that find, validate, and patch vulnerabilities in web applications and networks at machine speed and scale.\n\nhttps://youtu.be/Oe-errlwaow\n\n## 🔥 The Problem\n\nSecurity is fundamentally broken for most engineering teams today:\n\n* **Scanners are unreliable** - They flood engineers with 30-50% false positives, wasting precious development time\n* **Traditional pen testing is too slow** - It happens quarterly at best, costs a fortune, and takes weeks to complete\n* **AI-accelerated development creates new risks** - Teams are shipping code faster than ever, but security reviews have become an even bigger bottleneck\n\nThe result? Companies are forced to choose between shipping fast or shipping secure. Engineering teams lose **\\~20%** of their time dealing with security issues or slowing down to accommodate outdated security practices.\n\n## 🚀 Our Solution\n\n[MindFort.ai](http://MindFort.ai)'s autonomous security agents work 24/7/365 to find, validate, and patch vulnerabilities:\n\n* **Find** complex vulnerabilities like a human tester would\n* **Validate** every finding to eliminate false positives\n* **Patch** with intelligent fixes that integrate directly with your codebase\n* **Scale** to thousands of tests in an instant, giving coverage never possible before\n\nUnlike solutions that slow development, MindFort accelerates it by eliminating security bottlenecks. Our platform is already finding vulnerabilities in production systems that other tools miss, identifying issues in bug bounty programs, and scoring high on human penetration testing benchmarks.\n\n## 💡 Our Story\n\nBrandon worked as a PM at ProjectDiscovery, a security scanner company where he led development of the Nuclei cloud platform from an open source tool to an enterprise ready product. He then joined NetSPI, one of the world’s largest penetration testing firms, to build generative AI tools for human testers. He sat with countless customers across both companies, learning about their struggles in securing attack surfaces at scale.\n\nAkul received his masters in computer science from the University of Illinois Urbana-Champaign, and was drawn to AI and security early on in his academic career. He co-authored multiple papers on using LLMs to perform various cybersecurity attacks, worked on creating novel benchmarks for hacking agents, and participated in red teaming and model safety programs at both OpenAI and Anthropic.\n\nSam worked as a senior engineer at Salesforce, where he led security for a large business unit, Tableau. During his time there, he worked first hand on keeping a large scale product secure. Between juggling security assessments, validating findings, and managing remediations inside of a large organization, he had seen it all. He began experimenting with ways to use AI to help solve some of the issues he faced at Salesforce and even worked on a demo of a tool to perform agentic code review through a DARPA program. He recently completed a master’s degree in cybersecurity at UC Berkeley.\n\nWe all met through our work and research. Early on, we all realized that the future of security was going to belong to AI agents, and that the coming tidal wave of new code generated with AI would need a solution of equal magnitude.\n\n![uploaded image](/media/?type=post&id=90555&key=user_uploads/525065/51cbc28d-9ff7-41b3-af19-d3e9fc23ef0a)\n\n## 🔮 Our Vision\n\nSecurity should accelerate your business, not slow it down. We're creating a world where security testing happens continuously and vulnerabilities are patched autonomously, **keeping your product and your users safe, while letting you ship faster.**\n\n## 👇 Our Ask\n\nReady to ship quickly and securely? 👉 **Visit [mindfort.ai](http://mindfort.ai) to request access**\n\n📧 Email us directly: [founders@mindfort.ai](mailto:founders@mindfort.ai)",
        "url": "https://www.ycombinator.com/launches/NYZ-mindfort-ai-fully-autonomous-security-agents",
        "votes": 62,
        "created_at": "2025-05-20T14:20:43.961Z"
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    "name": "Probo",
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    "website": "https://www.probo.com?utm_source=yc-bookface",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Probo acts like your compliance team. You tell us how you work, and Probo does the rest:\r\n1. Set the right requirements - not overkill\r\n2. Handle docs, risks, controls, evidence\r\n3. Run the audit\r\n4. Keep everything up to date afterward\r\nFounders shouldn’t lose weeks to this stuff. Even one day is too much.\r\n",
    "one_liner": "We help you get compliant while you focus on your business.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1747978784,
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    "year_founded": 2024,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getprobo/",
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        "user_id": 2229971,
        "full_name": "Antoine Bouchardy",
        "title": "Founder/CEO",
        "founder_bio": "Probo co-founder & CEO. Cybersecurity auditor with a data & product background.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/antoinebouchardy/",
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      {
        "user_id": 1142157,
        "full_name": "Bryan Frimin",
        "title": "Founder/CTO",
        "founder_bio": "CTO & Co-founder of Probo. French engineer building an open-source AI platform that simplifies SOC2/ISO27001 compliance.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gearnode",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4239e339bb04f3406fd6b9fe2d14cbc0625f40d3.jpg"
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      {
        "id": 90678,
        "title": "Probo - Open-source compliance platform",
        "tagline": "We make you SOC 2 compliant so you focus on your business.",
        "body": "Hi everyone!\n\nWe are Antoine and Bryan from Probo.\n\nWe do your SOC 2 (and other) compliance, making sure you don’t waste time on useless tasks.\n\nOver the last 2 months, we've already worked with 39 companies to get SOC2, HIPAA or ISO27001 without the hassle. \n\nhttps://youtu.be/i-IT5hYwemY\n\n## **What’s broken**\n\nCompliance.\n\nAs an auditor, I asked companies for the same checklists and sent the same doc requests, over and over. Founders wasted time filling in boxes without thinking.\n\nLooking back, it was mindless busywork that frustrated everyone.\n\n## **What we are building**\n\nProbo acts like your compliance **team.** You tell us how you work, and Probo does the rest:\n\n1. Set the _right_ requirements - not overkill\n2. Handle docs, risks, controls, evidence\n3. Run the audit\n4. Keep everything up to date afterward\n\nFounders shouldn’t lose weeks to this stuff. **Even one day is too much.**\n\n## **What’s next**\n\nThree things:\n\n* **Open source**: Commoditize existing tools \n* **AI powered:** Agents to continuously monitor and maintain things up to date\n* **No third-party trust:** proofs are end-to-end verifiable\n\nIf you’re building and don’t want to lose weeks on compliance,\n\nIf this sounds like something you’ve wished existed,\n\n=&gt; [founders@getprobo.com](mailto:founders@getprobo.com)\n\n=&gt; [www.getprobo.com](http://www.getprobo.com)\n\n![uploaded image](/media/?type=post&id=90678&key=user_uploads/2229971/12941717-a6c6-4eae-b8eb-08a49e657b33)\n\n",
        "url": "https://www.ycombinator.com/launches/NaY-probo-open-source-compliance-platform",
        "votes": 144,
        "created_at": "2025-05-23T16:45:14.090Z"
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    "name": "Moby Analytics",
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    "all_locations": "Paris, Île-de-France, France",
    "long_description": "At Moby Analytics, we provide the first AI agentic platform built for financial auditors. Auditors easily create and deploy AI agents to automate audit workflows. No code, just prompts and domain expertise.",
    "one_liner": "AI financial auditors",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/moby-analytics",
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    "year_founded": null,
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    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/in/dimitri-kassubeck-69764647/",
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        "user_id": 2582095,
        "full_name": "Dimitri Kassubeck",
        "title": "Founder/CEO",
        "founder_bio": "Dimitri is the founder and CEO of Moby, an AI-powered platform for financial auditors. Before Moby, Dimitri worked a decade in the financial industries serving the largest companies in the world.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dimitri-kassubeck-69764647/",
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      {
        "user_id": 2582831,
        "full_name": "Thomas Rapilly",
        "title": "Founder/CTO",
        "founder_bio": "CTO @Moby Analytics",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thomas-rapilly-00481167/",
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      {
        "id": 90445,
        "title": "Moby Analytics 🐳 AI Platform for Financial Auditors",
        "tagline": "Ending manual work. Unleashing auditors' potential.",
        "body": "Hey YC!\n\nWe’re [Dimitri](https://www.linkedin.com/in/dimitri-kassubeck-69764647/), [Thomas, ](https://www.linkedin.com/in/thomas-rapilly-00481167/)and [Clément ](https://www.linkedin.com/in/cl%C3%A9ment-sengelen-09261354/)- co-founders of [Moby Analytics](https://www.mobyanalytics.com/en) - and we’re ending manual work in audit, so auditors can reclaim time for high-value thinking.\n\n❌ **Problem**\n\n**Auditors spend 50% of their time on the wrong things.**\\\nChasing documents, sorting PDFs, and manually checking numbers.\\\nAll of it steals time from what truly matters: analysis and judgment.\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/26d5c027-fc6c-434d-8700-11f9eb9ae60a)\n\n💡**Solution**\n\nAt Moby Analytics, **we’re ending manual work in audit**—so auditors can reclaim time for high-value thinking.\n\nWith Moby, auditors automate repetitive tasks and analyze data, in their own way. We’ve built the first AI platform that **lets auditors create and deploy their own AI agents**—no code needed. Just prompts and audit expertise.\n\nhttps://www.youtube.com/watch?v=ivqOkh9xBaU\n\n🔨_Create an Agent :_\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/ecbc0b6f-a5e5-448e-b92d-5375600e07e5)\n\n🔍 _Review the agent’s work :_\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/baaf0c19-b22e-4300-9789-660aa1803099)\n\n**👌Team**\n\nWe’re three long-time friends—**Dimitri**, **Thomas**, and **Clément**—on a mission to bridge the gap between audit and tech.\n\nWe started by building a data analytics agency, **training hundreds of auditors to use data and AI tools**. And we saw firsthand what they could achieve when they had the right tools.\n\n**That’s why Moby exists: to unleash auditors’ potential.**\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/776ce6eb-ea8f-4bdf-ab1c-cee5b9ae8ed2)\n\n**🙏 Our ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Can you introduce us to **audit firm leaders** (CEO, Chief Transformation Officer, CTO)?\n* Can you introduce us to auditors who have a **strong interest in AI** solutions?\n\nContact: [dimitri.kassubeck@mobyanalytics.com](https://dimitri.kassubeck@mobyanalytics.com)\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/6dc65535-69e6-4bbd-ae36-fd96a2c11522)\n\n",
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        "votes": 38,
        "created_at": "2025-05-15T21:01:16.920Z"
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    "id": 30532,
    "name": "Nimbic AI",
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    "team_size": 3,
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    "isHiring": false,
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    "url": "https://www.ycombinator.com/companies/nimbic-ai",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nimbic-ai/",
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        "full_name": "Akshath M",
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        "full_name": "Ishan Khare",
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        "full_name": "Ishan Mehta",
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    "one_liner": "Security operations optimized for agents.",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1747110142,
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    "country": "US",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
      {
        "user_id": 2254937,
        "full_name": "Max Pollard",
        "title": "Founder/CEO",
        "founder_bio": "Building AI agents and infrastructure to help security teams detect threats, investigate alerts, and respond. Co-founder and CEO of Cotool. San Francisco native.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mmpollard/",
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      {
        "user_id": 2300356,
        "full_name": "Logan Carmody",
        "title": "Founder/CTO",
        "founder_bio": "building Cotool for security teams\n\nhmu if you're interested in chatting (opp|app)-sec, agents, trail running or cycling",
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      {
        "id": 90398,
        "title": "Cotool - Composable AI Agents for every Security Team",
        "tagline": "Reduce time spent on investigations and detection engineering by 90%",
        "body": "Hey everyone 👋\n\nWe're [Eddie](https://www.linkedin.com/in/eddieconk/), [Logan](https://www.linkedin.com/in/logan-carmody/), and [Max](https://www.linkedin.com/in/mmpollard/) – co-founders of [Cotool](https://cotool.ai).\n\n### TL;DR\n\nCotool uses AI to automate repetitive security workflows so teams can focus on threat hunting instead of manual tasks. Our early users have used the copilot and agents to cut investigation time by 90% and increase detection quality & coverage. Book a demo to learn how you can do the same!\\\nhttps://www.youtube.com/watch?v=GnyZuJGQ5C0\n\n### ❌ The Problem\n\nSecurity is complex, but the problems facing most teams are not:\n\n1. Alert Fatigue: Hours lost to false positives, while genuine threats slip by unnoticed.\n2. Context Switching: Investigations requiring constant toggling across 5-10 disconnected tools just to assemble basic context.\n3. Documentation Overhead: Teams spend more time as technical writers than security practitioners, bogged down in endless reporting.\n\nBefore founding Cotool, we collaborated with cutting-edge security teams including OpenAI, Coinbase, Figma, and DoorDash, experiencing these universal challenges firsthand.\n\nAdvancements in AI now offer an opportunity to truly reimagine this model; by building intuitive, collaborative tools that complement, not replace, security professionals.\n\n### 👷 Our Solution\n\nCotool provides a suite of Agents and an AI co-pilot designed specifically for security teams, streamlining workflows and reducing frustration through:\n\n* Seamless Investigations 🔍: A true AI co-pilot that works alongside security engineers during alert triage, investigations, and detection engineering; automatically gathering relevant context from across tools so they can focus on reasoning, not tool-hopping.\n* No-code Agents 🤖: Turn successful debugging flows into reusable agents, then refine their behavior with natural language prompts and connect them to any tools Cotool has access to, with granular permission controls.\n* Automated Documentation 📊: Generating thorough, accurate reports in seconds, freeing up valuable security practitioner time.\n\n![uploaded image](/media/?type=post&id=90398&key=user_uploads/2254937/d59dd9d1-e396-4f77-8dce-283a5e31c4ee)\n\n### 👨‍💻 The Team\n\nWe have worked together for years and co-founded Cotool in 2025.\n\n[Max Pollard](https://www.linkedin.com/in/mmpollard/) (CEO) led the forward deployed engineering team at Material, working directly with security teams to understand their workflows and pain points. He built the team up from one to 8 engineers and embedded himself with the world's best security programs. Previously he worked as a SE at Okta. He holds a BA in Business and Computer Science from UC Berkeley.\n\n[Eddie Conk](https://www.linkedin.com/in/eddieconk/) (CPO + Head of AI) spent the last 3 years at Material Security, leading the ML Engineering function. He developed and trained AI models for detecting Phishing emails at scale for some of the largest and most secure companies in the world. Previously he was an ML Engineer at Apple, and holds a BA in Computer Science from UC Berkeley.\n\n[Logan Carmody](https://www.linkedin.com/in/logan-carmody/) (CTO) was an early engineer and the technical lead for the Phishing Protection product at Material Security. He helped develop the proprietary language and compiler which Material’s threat researchers used to detect Phishing messages and Workspace breaches. He previously was a Staff SWE at LinkedIn working in infrastructure, and holds a BS in Computer Science and Philosophy from Duke University.\n\nTogether, we've spent years embedded with some of the world's best security teams. We're passionate about helping security teams focus on what they do best – hunting threats, not handling workflows.",
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        "title": "Propolis: Building Synthetic Users",
        "tagline": "Fully autonomous browser agents that test your application for you. ",
        "body": "**TL;DR: [Propolis](https://propolis.tech) unleashes AI swarms that eliminate QA by automatically testing your product like real users would**. **Our solution, in production, has already become the go to for fast shipping engineering teams.**\n\n**_Ask_**: Do you know any engineering teams bottlenecked by QA or looking to ship faster? Contact us at [marc@propolis.tech](mailto:marc@propolis.tech).\n\nHi! We’re Marc and Matt, tenured former leads of large and gnarly implementations and deployments at Palantir and Airtable (+ a bunch of startups!). We’re building Propolis.\n\n**❌ The Problem:** Software development cycles have accelerated substantially over the past year. Yet, testing remains stuck in the past, relying on either slow manual QA or brittle automation that breaks with every product change, creating three major pains:\n\n1. Wasted engineering time\n2. Delayed releases\n3. Bugs reaching real users\n\nThese intensify as companies scale, with some dedicating entire teams to QA or accepting that their users will find the bugs for them. But with Propolis, this is finally changing:\n\nhttps://youtu.be/3AxEHNmTqyc\n\n**🐝 Our Solution:** Propolis deploys autonomous browser agents that think and behave like real users. They build an understanding of your application and communicate with one another. Teams simply provide a URL and credentials, and get access to:\n\n* **Complete test coverage** 🧪: AI agents explore your entire product, discovering and testing every possible user flow.\n* **Precise bug reporting** 🐛: Detailed reports delivered directly to Slack, Linear, Github, or wherever with videos, traces, and reproduction steps.\n\n**🙏 Our Ask:** If the above seems like something you or someone you know needs, please get in touch!\n\nWe're offering our next batch of customers:\n\n* A walkthrough of our agents traversing your application\n* Recently harvested honey for the next 10 companies that sign up! 🍯 (We're recreational beekeepers, hence the name)\n\nContact us at [marc@propolis.tech](mailto:marc@propolis.tech)\n\n**👬 The Team** Marc and Matt have both personally struggled with the reality of losing precious time QAing instead of shipping, countless hours clicking through flows and writing tests. They’ve bonded over their mutual fondness for deploying solutions that break the mold.\n\n[Marc](https://www.linkedin.com/in/marc-papazian/) was previously Director of Product at an AI startup and a deployment lead at Palantir - where he led work building the operational data backbone for the entire Federal pandemic response. He makes wine halfway across the world in Armenia (ironically, he does NOT like wine).\n\n[Matt](https://www.linkedin.com/in/mattmattmattmatt/) was previously a senior engineer at Airtable, where he worked on infrastructure that helped eliminate the need for manual QA. He’s been frontline for hundreds of product releases and deploys, and knows what it takes to be confident in the code you’re shipping.",
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    "long_description": "We are turning real life into a video game",
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        "full_name": "Linus Talacko",
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        "founder_bio": "building",
        "is_active": true,
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        "full_name": "Justin Lee",
        "title": "Founder",
        "founder_bio": "Building Cursor for knowledge workers",
        "is_active": true,
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        "id": 90591,
        "title": "Den: Cursor for knowledge workers",
        "tagline": "We make it 10x easier to build AI agents within a Slack/Notion-like platform.",
        "body": "### **TL;dr**\n\nDen is Cursor for knowledge workers.\n\nWe make it 10x easier to build AI agents within a Slack/Notion-like platform.\n\nhttps://youtu.be/OBpZ4RaV_9Y\n\n### **The Problem**\n\nAI agents are great, but impossible for most people to use.\n\nAt our previous startup, engineers would ship features during their lunch break using Cursor, while the rest of the team drowned under repetitive tasks.\n\nWe believe everyone, not just engineers, deserves 10x leverage on their time.\n\n### **Our Solution**\n\nDen is where you and your team create and collaborate with AI agents. It unifies your entire productivity stack behind one natural language interface, allowing you to create AI agents that work with your team in realtime, and can keep working while you sleep.\n\nWe want to deploy trillions of AI agents into the mainstream workforce and unlock the most productive era in human history.\n\n![uploaded image](/media/?type=post&id=90591&key=user_uploads/2367523/21ef304f-cb23-4dfa-b66e-fa68c0259206)\n\n### **The team**\n\n[**Linus Talacko**](https://www.linkedin.com/in/linustalacko/) previously co-founded _Lyrebird Health_, one of Australia's fastest-growing startups, when he was 19. He scaled the team to 50+ people before leaving to start _Den_.\n\n[**Justin Lee**](https://www.linkedin.com/in/justin1ee/) previously built agents at _Atlassian_. He was hired by Linus as a founding engineer at _Lyrebird Health_.\n\n### **Our Ask**\n\nIf you want to build a 10-person billion-dollar company, join Den here: [https://getden.io](https://www.linkedin.com/in/justin1ee/)\n\n📧 Email us: [founders@getden.io](mailto:founders@getden.io)\n\n![uploaded image](/media/?type=post&id=90591&key=user_uploads/2367523/07602c79-ac49-4437-9a11-55972a4a92d6)\n\n",
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        "full_name": "Stephen Sun",
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    "id": 30540,
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        "full_name": "Eshani Mehta",
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        "full_name": "Sam Lamba",
        "title": "Founder/CTO",
        "founder_bio": "Building Lumari! Previously at Google, Amazon, Tesla",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samarthlamba",
        "x_url": "",
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    "jobs": [
      {
        "id": 87969,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/EaQMR7l-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $170K",
        "equity_range": "0.20% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "React",
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      },
      {
        "id": 92320,
        "title": "Former Founders",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/XuEG5NT-former-founders",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 93602,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/y8Reyou-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $170K",
        "equity_range": "0.25% - 3.00%",
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    "launches": [
      {
        "id": 90564,
        "title": "Lumari - AI Digital Workers for Supply Chain",
        "tagline": "We enable supply chain teams to automate manual work with always-on AI teammates that monitor, coordinate, and take action.",
        "body": "Hey everyone! We’re [Sam](https://www.linkedin.com/in/samarthlamba/) and [Eshani](https://www.linkedin.com/in/eshanimehta/), the co-founders of Lumari 🔥\n\n**TL;DR:** Lumari is AI-powered procurement automation for direct materials and supply chain. We deploy **100s of always-on AI agents** that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end.\n\n### **The Problem ❌**\n\nSupply chain teams are stuck in reactive mode.\n\n* Buyers spend their days copy-pasting between email, spreadsheets, and ERPs, chasing supplier quotes, following up on late POs, and manually entering delivery updates\n* Missed delivery dates and poor visibility lead to expediting costs, production delays, and revenue risk\n* Existing tools require suppliers to adopt new portals and force rigid workflows that don't reflect how teams actually operate\n* There's too much operational work and not enough time for strategic decision-making\n\n### **Lumari’s Solution ✨**\n\nLumari brings autonomous agents to supply chain and acts as a **force multiplier** for the team.\n\n* **Automates** the manual chase across the entire procurement lifecycle, from RFQs to PO tracking to supplier follow-ups\n* Compresses cycle times and gives teams full **visibility** into active orders, RFQs, and supplier performance\n* Operates directly on top of **existing tools** (ERP, email, Slack, Excel) with no rip-and-replace and no supplier onboarding\n* Teams are always in **control** with configurable guardrails and approval layers for every action\n* **Customize** your agent behavior and configuration in plain English\n\nWe **partner** closely with every customer to adapt our agents to their specific processes and systems, from **Fortune 500s** to fast-growing scale-ups.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=90564&key=user_uploads/1755497/3a1a90ce-6ebb-49fc-8c0e-6b1cd98be8fb)\n\n[Sam Lamba](https://www.linkedin.com/in/samarthlamba/) is an ex-Google engineering lead who led the development of AI-driven products that scaled to millions of weekly enterprise users, and has received 2 AI patents. Sam also previously worked at Amazon and Tesla and holds a degree in Electrical and Computer Engineering and Computer Science from Duke University.\n\n[Eshani Mehta](https://www.linkedin.com/in/eshanimehta/) was previously at Stripe leading payments intelligence products handling $XXX million in volume. She also previously worked at Robinhood and Snap and studied Computer Science at UC Berkeley. \n\n### **Our Ask**\n\n* 📅 [Book a meeting](https://cal.com/team/lumari/lumari-demo) with us if this could be useful for you or your team\n* Follow us on [LinkedIn](https://www.linkedin.com/company/lumari-io)!\n* Check us out at [lumari.ai](http://lumari.ai) or read lumari.ai/blog to understand the problem better",
        "url": "https://www.ycombinator.com/launches/NYi-lumari-ai-digital-workers-for-supply-chain",
        "votes": 128,
        "created_at": "2025-05-20T18:06:51.257Z"
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    "id": 30543,
    "name": "Cactus",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "HVAC, plumbing, roofing, and electrical companies spend $3K–$25K every month making the phone ring - then lose 10–20% of those leads to slow response times, missed calls, and zero follow-up. The revenue was already there. It just walked out the back door.\r\n\r\nCactus closes that gap on both sides.\r\n\r\nInbound: Every call answered in under 60 seconds, 24/7 qualified and booked directly into Housecall Pro, Jobber, FieldEdge, or ServiceTitan. No voicemails. No missed jobs.\r\n\r\nOutbound: Warm leads, dormant customers, and unworked estimates get proactively contacted - driving repeat jobs, cross-sells, upsells, and referrals without adding headcount.\r\n\r\nThe result: 20–30% more jobs from the ad budget you're already spending.\r\n\r\nWhat that looks like in practice:\r\n\r\n→ Roofing company, NC | $299K collected in 10 weeks. $1.41M pipeline created. 199× ROI. $48K of that revenue came in after hours — while the office was closed.\r\n\r\n→ Plumbing & HVAC company, UT | $180K confirmed revenue in 4 months. 90× ROI. 58% of captured leads came after hours — jobs that would have gone to voicemail now go straight into the CRM.\r\n\r\n→ General contracting company | Grew from 11 jobs/month to 72 in a single month — 555% growth. $2.09M invoiced. $1.82M collected. Zero new hires.\r\n\r\n→ Roofing & siding company | $228K pipeline in 75 days. 92% of calls converted to hot leads. $804K in net sales during the Cactus period. 49 spam calls filtered automatically — hours of staff time saved.\r\n\r\n→ Commercial signage company | $398K pipeline generated in 10 weeks. 111× ROI on $3,597 invested. Grew from 0% to 30% share of total company pipeline in a single month.\r\n\r\nIf we don't add revenue, we don't stay. That's the only way this works.\r\n\r\nThe $150B home services industry is still running on voicemail and spreadsheets. We're building the system that changes that - one answered call at a time.",
    "one_liner": "All-In-One AI Growth Partner. Built for Trades.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1746571239,
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    "nonprofit": false,
    "batch": "Spring 2025",
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        "answer": "Cactus was founded by two-time Y Combinator founders Ajith Govind and Avinash Joshi, who have spent their careers building technology to eliminate everyday operational bottlenecks. After working with hundreds of small business owners, they saw a common problem: time spent on administrative tasks was keeping great service providers from growing their businesses.\r\n\r\nThey created Cactus to change that. Designed as an AI copilot for home service businesses, Cactus expands a company’s capacity without increasing headcount — helping owners scale faster, serve more customers, and operate with the efficiency of a much larger team.\r\n\r\nFounded by entrepreneurs, the mission is simple: to help home service businesses succeed and thrive, no matter their size. Cactus brings clarity, automation, and peace of mind to busy teams, removing daily bottlenecks so owners can focus on growth.\r\n\r\nFrom first call to booked job, Cactus delivers consistent, reliable experiences so businesses can win more work and build stronger customer relationships."
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    "country": "US",
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    "fb_url": "https://www.facebook.com/oncactusai",
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        "user_id": 423660,
        "full_name": "Ajith Govind",
        "title": "Founder/CEO",
        "founder_bio": "2x YC Founder. Entrepreneur at heart with computer science background. Building Cactus to empower every home service business in the world to succeed. \n\nPreviously built Turing Labs W20, Series A raising over $20M. I collaborated closely with most of the Top 20 CPGs, including P&G, Unilever, Nestle, Kraft, Coca-Cola, Mars, and many others, delivering over $65M in impact. Personal motto: Never give up!",
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        "full_name": "Avinash Joshi",
        "title": "Founder/CTO",
        "founder_bio": "I'm a Rails programmer, a builder and love coding. I fell in love with computers at a very young age. Over the years I've shipped products across various programming languages and frameworks, including HTML+CSS, PHP, Python, Django, React, Angular, and Rails. From right-click save as HTML to left-click vibecoding, I've built it all!\n\nI have a simple mantra - \"It’s Possible.\"",
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      {
        "title": "11 startups from YC Demo Day that investors are talking about | TechCrunch",
        "url": "https://techcrunch.com/2025/06/13/11-startups-from-yc-demo-day-that-investors-are-talking-about/",
        "date": "Jun 13, 2025"
      },
      {
        "title": "The Most Promising Startups From The First-Ever YC Spring Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/06/09/the-most-promising-startups-from-the-first-ever-yc-spring-batch/",
        "date": "Jun 09, 2025"
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      {
        "id": 90199,
        "title": "Cactus - AI copilot for solopreneurs 🚀",
        "tagline": "Automate admin tasks for solopreneurs like private chefs and caterers, so they can focus on doing what they love!",
        "body": "# **❌ Admin is killing solopreneurs**\n\nEvery solopreneur starts their business because they love their work. Solopreneurs like private chefs, caterers, photographers, and personal trainers receive hundreds of inquiries weekly. They’re busy working, miss out on great opportunities, and can’t scale their business.\n\n# **💡 What we do**\n\nCactus (https://oncactus.com) answers the phone, qualifies leads, and handles bookings so the business owner has a full schedule of work. It is the AI Business Assistant that manages the admin so the owner can focus on what they love!\n\nCactus has empowered 100+ chefs and is growing rapidly! Next, we’ll expand to photographers and personal trainers.\n\n**Check out our [launch video](https://youtu.be/VWeQaySQnY8)**\n\n**1️⃣ We provide every solopreneur with a website**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/d1d7e29b-8f13-4677-aa86-4381df359716)\n\n**2️⃣ Our AI answers the phone and qualifies customers.**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/3cdfc4f0-2b3e-4692-8126-247d4e5650e8)\n\n**3️⃣ And help solopreneurs manage bookings**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/af86c212-6e6d-428d-ae06-bce3cba64763)\n\n# **🎯 The Team**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/7959cd10-8d3f-4416-b16c-b3e74b135eac)\n\nAvinash (left) and Ajith (right) are batchmates from college. Avinash joined Ajith's previous YC startup, where they spent three years working side by side to build the product from scratch.\n\nThey became dads and started hiring personal chefs and started as a marketplace to onboard and match chefs with busy families. During the process, we realized private chefs struggle with operations and admin work. We started building AI tools for them and made some of them wildly successful.\n\n# **🙏 Our ask**\n\nIf you know any solopreneur or small business that could use Cactus, connect them to us at [**founders@oncactus.com**](mailto:founders@oncactus.com) or send them directly to my cell +1 (415) 747-2607.\n\nExamples of businesses that can use Cactus include private chefs, caterers, photographers, personal trainers, business consultants, coaching agencies, or any entrepreneur managing a high volume of inquiries or calls.\n\nWe are entrepreneurs and our mission is to make every solopreneur successful. Cactus will empower the first billionaire solopreneur.\n\n**👉 Try us out at [https://oncactus.com](https://oncactus.com) & Spiky will thank you!**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/ce23112f-5a3c-4bd1-9d18-2fb464fc33dc)\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/0a211a5c-f622-486c-8d66-9f25c9b48c23)\n\n",
        "url": "https://www.ycombinator.com/launches/NSp-cactus-ai-copilot-for-solopreneurs",
        "votes": 253,
        "created_at": "2025-05-08T14:08:33.111Z"
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    "id": 30545,
    "name": "StarSling",
    "slug": "starsling",
    "former_names": [],
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    "website": "https://starsling.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Drop-in Ubuntu runners plus AI agents that open optimization PRs for your workflows. StarSling Runners continuously improve your CI to make it up to 6x faster and 13x cheaper.",
    "one_liner": "Self-Driving CI: fast AI-native GitHub Actions runners",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1747381971,
    "tags": [
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      "B2B",
      "DevOps",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/starsling",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/starsling.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/starslingdev",
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        "user_id": 7866,
        "full_name": "Yonas Beshawred",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ StarSling 💫 Previously Founder & CEO of StackShare, a developer community that had 1.5M+ devs and an enterprise SaaS offering ~$1M ARR, then sold to FOSSA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yonas-beshawred/",
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      {
        "user_id": 751609,
        "full_name": "Daniel Worku",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO @ StarSling 💫 Built Netflix’s Internal Developer Portal (IDP) for their 3K+ engineers & managers and scaled it to become the highest DAU internal tool for devs. Eng on Facebook’s AI Camera team and helped build the mobile computer vision lib that currently powers camera effects for 100M+ DAUs across IG, FB, and WhatsApp.",
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        "linkedin_url": "https://www.linkedin.com/in/worku",
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    "launches": [
      {
        "id": 104233,
        "title": "StarSling Runners - Self-Driving CI",
        "tagline": "Fast GitHub Actions runners with AI agents that continuously improve your CI to make it up to 6x faster and 13x cheaper.",
        "body": "Hey everyone!\n\nWe're Yonas &amp; Daniel, co-founders of [StarSling](https://www.starsling.dev).\n\n**TL;DR: [StarSling Runners](https://starsling.dev/)** are an AI-native drop-in replacement for ubuntu-latest that continuously make your CI up to **6x faster** and **13x cheaper**. On day one, StarSling Runners are faster and cheaper. From there, AI agents analyze your pipelines and continuously ship optimization PRs.\n\n<https://www.youtube.com/watch?v=IxcYY5cuSXA>\n\n**🤔 Why now**\n\nCoding agents made writing code dramatically faster, and they’ve pushed PR volume up, which compounds CI times and cost fast.\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/2149565f-569b-4f8d-b4b3-9eab341daf0f)\n\nEveryone has the option of getting fast CI runners now. What nobody has is **CI that adapts and improves itself**.\n\nMeanwhile, keeping a CI pipeline fast is a constant manual chore: caches break, tests get flaky, build steps pile up, and someone has to notice and fix it, over and over. We believe DevOps tooling like CI should be as agentic as coding is, and that's the unlock behind self-driving CI: the optimization work that used to be a recurring human task now runs continuously in the background as part of the infrastructure running it.\n\n**🔥 The problem**\n\nKeeping CI fast is nobody's job and everybody's problem:\n\n* **Pipelines rot.** Caches get misconfigured, dependency installs get slow, tests turn flaky, build steps stop being parallel. Performance quietly degrades until someone carves out time to fix it.\n* **Fast runners alone don't solve it.** Swapping in faster hardware helps once, then your setup drifts right back as you add more code and tests and they get more complex. Plenty of products give you faster runners. None of them keep your pipeline optimized for you.\n* **It's getting worse.** Recent GitHub Actions pricing changes hit teams running lots of jobs, and GitHub's focus has clearly moved elsewhere. When we surveyed companies looking for DevOps AI solutions, a GitHub Actions agent was the single most-requested solution engineers wanted.\n\n**🧯 The solution: self-driving CI**\n\nStarSling Runners are an AI-native, drop-in replacement for ubuntu-latest\\\nthat get faster the longer you use them:\n\n* **Fast infrastructure on day one.** 5th Gen AMD EPYC (\\~30% faster than GitHub), actions/cache compatible with zero config, unlimited concurrency.\n* **AI agents that optimize your CI for you.** Agents continuously scan your workflows, jobs, run logs, and machine telemetry, then open optimization PRs: fixing caching, speeding up dependency installs, parallelizing build steps, sharding tests, and restructuring workflows. This is the part nobody else does. Real PRs our agents opened and customers merged: [sharding E2E tests across 3 parallel jobs](https://github.com/mastra-ai/mastra/pull/15888) (Mastra), [optimizing Playwright browser installs](https://github.com/better-auth/better-auth/pull/8073) and [fixing turbo cache config](https://github.com/better-auth/better-auth/pull/7950) (Better Auth).\n* **Cheaper, with no surprises.** $0.008/min vs GitHub's $0.012/min (33% cheaper), queue time never billed, no seat fees.\n* **You stay in control.** Every agent-authored optimization ships as a PR your team reviews and merges.\n* **Secure by default.** Every job runs in its own single-use, hardware-isolated microVM that's destroyed after the run, the same isolation model GitHub-hosted runners use. Secrets pass directly from GitHub to your job and are never stored by StarSling.\n* **One-line install.** Install the [StarSling GitHub App](https://github.com/apps/starslingdev) and copy our AI install prompt to swap ubuntu-latest\\\n  for starsling-ubuntu-24.04. You're on faster runners immediately, with 2,000 free minutes your first month. The optimization agents are in early access right now, so request access and we'll turn them on for your repos. **👇**\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/a91c193f-d5e1-4d00-a93c-1dfd6381666b)\n\n**📈 Traction**\n\nAfter being in private beta for the past four months, StarSling has now run over **one million CI jobs** for fast-moving teams like Better Auth, Mastra, Partcl, and more, and the self-driving AI agents is what won them over:\n\n* [**Mastra**](https://starsling.dev/customers/mastra) got **6x faster** CI:\n  * _\"The runners are just handled, so nobody on my team thinks about CI infrastructure anymore, and the agents keep optimizing for the one thing I care about: minutes saved.\"_ - Abhi Aiyer, Co-founder &amp; CTO at Mastra (YC W25)\n* [**Better Auth**](https://starsling.dev/customers/better-auth) got **2x faster** E2E:\n  * _\"StarSling agents are like a CI engineer we never had to hire. They find the slow spots, test out fixes, find the ones that work and open the PRs themselves.\"_ - Bereket Engida, Founder &amp; CEO at Better Auth (P25)\n* [**Partcl**](https://starsling.dev/customers/partcl) got **13x cheaper** CI, and the agents proved themselves on day one:\n  * _\"Within a day of migrating to StarSling Runners, their agents opened up a PR that literally made our Rust CI tests 2x faster!\"_ - Vamshi Balanaga, Co-founder &amp; CTO at Partcl (YC P25)\n\nFull case studies: <https://starsling.dev/customers>\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/10826f60-8e4d-41a8-a800-32026a78bfc8)\n\n\n**🏋️ Team**\n\n**Daniel** led the 12-person engineering team at Netflix that built their Internal Developer Portal (\"Netflix Console\"), the central hub for Netflix's 3,000+ engineers and the highest-DAU internal developer tool at the company. Before Netflix he was on Facebook's AI Camera team, building computer vision that powers camera effects for 100M+ DAUs across Instagram, Facebook, and WhatsApp.\n\n**Yonas** built StackShare, one of the largest online developer communities (1.5M+ registered developers), with an enterprise offering used by Fortune 500s to surface tech stack data across thousands of internal codebases. StackShare was acquired by FOSSA in 2024.\n\nWe've spent our careers on developer tools, and self-driving CI is the first part of a suite of tools we always wished we had.\n\n**🔮 Vision**\n\nDevOps should be as agentic as coding. CI is just the start. We're building toward a world where your entire pipeline improves on its own and AI agents take on the slow, manual engineering work that’s left after your coding agents finish, across the whole SDLC, so your team ships faster.\n\n**👇 Our ask**\n\n* **Try it.** If your team runs CI on ubuntu-latest, you're a one line change away from faster runs: <https://starsling.dev>. YC companies get 50% off the first year.\n* **Intros.** If you know a CTO or VP Eng at a company drowning in CI time or cost, we'd love an intro: 📧 [founders@starsling.dev](mailto:founders@starsling.dev)\n\nHappy Slinging!\n\n\\- Yonas &amp; Daniel",
        "url": "https://www.ycombinator.com/launches/R7B-starsling-runners-self-driving-ci",
        "votes": 85,
        "created_at": "2026-06-29T17:20:25.137Z"
      },
      {
        "id": 90469,
        "title": "StarSling - AI Agents for Developers That Ship 🛸",
        "tagline": "Agentic internal developer portal that automates your tasks across deployments, performance, incidents, and bugs",
        "body": "Hey everyone! \n\nWe’re Yonas & Daniel - Co-founders of [StarSling](https://www.starsling.dev).\n\nStarSling (https://starsling.dev) is a developer portal that turns your daily unplanned work from all your dev tools into one-click actions, powered by AI. Open your homepage, click on a GitHub, Linear, or Sentry issue and you’ll see an Autofix button that triggers an agent and opens a Pull Request with a fix, all without leaving your portal. It’s AI agents for the tasks that live outside of your code editor, across deployments, performance, incidents, and bugs.\n\nhttps://youtu.be/-rbrSNyguHY \n\n**🌄 Our Story**\n\nDaniel led an engineering team at Netflix that built their Internal Developer Portal (IDP), called Netflix Console. It was the central hub for Netflix's 3,000+ engineers, managers and leaders and became the highest DAU internal tool for developers at Netflix.\n\nYonas built StackShare, one of the largest online developer communities that had over 1.5M registered developers and an enterprise offering used by thousands of companies that integrated tech stack data into their IDPs and other internal tools.\n\nBoth of us have seen the challenges that developers at large companies face in keeping their tech stacks healthy across thousands of codebases. We’ve also seen the benefits that a high-quality single IDP brings to engineering teams. We believe that AI agents have created a unique opportunity for developers to get the benefits of an IDP with automation baked in from the start.\n\n**🔥 The Problem**\n\nDevelopers typically spend \\~20% of their time on annoying eng tasks outside of their code editor:\n\n* Fixing exceptions\n* Patching flaky CI builds and tests\n* Updating engineering docs and changelogs\n* Investigating and remediating incidents\n* Optimizing slow database queries\n* Debugging preview and staging environments\n* Rotating expiring credentials and keys\n\nThese tasks are spread out across many different developer tools and workflows: Sentry, GitHub, CircleCI, PagerDuty, Supabase, Vercel and many more. StarSling is unifying these tools and bringing AI agents to the rest of the software development lifecycle (SDLC).\\\n**🧯 Our Solution**\n\nWe're building a system of AI agents that perform engineering tasks using the deep context that only exists in an internal developer portal (IDP). One central command center that houses internal services, applications, APIs, documentation and has AI agents continuously improving them. We bring your tools into one system and give you powerful workflows by orchestrating AI agents across these tools.\n\nOur first offering is an agentic developer homepage that shows you your aggregated task list along with actions that AIs can take on your behalf. In your homepage you’ll see: your open PRs, exceptions, tickets, notifications, and more alongside AI agents.\n\n![uploaded image](/media/?type=post&id=90469&key=user_uploads/7866/d4f9f3c3-e7b9-485b-9920-3d04e80d385f)\n\nSoon StarSling will orchestrate agents across the more complex tasks like investigating incidents. Our immediate goal is to be the interface and “portal” to all the AI agents for the dev tools you already use.\n\n**🔮 Our Vision**\n\nTo create a system of AI agents that allows every engineer to spend close to 0% of their time dealing with deployments, performance, incidents, and bugs.\n\n**👇 Our Ask**\n\nIf you’re a developer working on a production system, we’d love to show you StarSling and get your feedback!\n\n👉 Signup for the waitlist: https://starsling.dev\n\n📧 Email us: [founders@starsling.dev](mailto:founders@starsling.dev)",
        "url": "https://www.ycombinator.com/launches/NXB-starsling-ai-agents-for-developers-that-ship",
        "votes": 591,
        "created_at": "2025-05-16T15:08:07.425Z"
      }
    ]
  },
  {
    "id": 30548,
    "name": "Theorem",
    "slug": "theorem-2",
    "former_names": [
      "Aletheia"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4462cecf7e86ccbeaa67750a89b934e1dcf2fa9f.png",
    "website": "https://theorem.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Theorem is training models that make program verification 10,000 times faster. Using verification as a feedback loop, developers have found zero-days in GPU accelerated code and cryptography implementations, and sped up code migration in legacy systems. If you have complicated code that needs to be correct and secure, sign up for our beta!",
    "one_liner": "Program verification so even your systems engineers can vibecode",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1747681841,
    "tags": [
      "Machine Learning"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/theorem-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/theorem-2.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/theoremlabs",
    "x_url": "https://x.com/theoremlabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/theorem-labs",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4462cecf7e86ccbeaa67750a89b934e1dcf2fa9f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 2540968,
        "full_name": "Jason Gross",
        "title": "Founder/CEO",
        "founder_bio": "Developed performant, verified code powering trillions of https connections to Chrome and other browsers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jason-gross-86b72125/",
        "x_url": "https://x.com/diagram_chaser",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5fa30f4252b80f30a34aa445733c970884b1f68.jpg"
      },
      {
        "user_id": 2206829,
        "full_name": "Rajashree Agrawal",
        "title": "Founder/CTO",
        "founder_bio": "Babysitting models. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajashreeagrawal/",
        "x_url": "https://x.com/___rajashree___",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fb6028cdc57abac5fe224dffd96fd588267b46d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 83835,
        "title": "ML Research Engineer",
        "url": "https://www.ycombinator.com/companies/theorem-2/jobs/CsReXnw-ml-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Machine Learning"
        ]
      },
      {
        "id": 83836,
        "title": "ML Research Scientist",
        "url": "https://www.ycombinator.com/companies/theorem-2/jobs/eWwY3Yx-ml-research-scientist",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 83837,
        "title": "Senior SWE",
        "url": "https://www.ycombinator.com/companies/theorem-2/jobs/I2adiHF-senior-swe",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 83838,
        "title": "Systems Engineer",
        "url": "https://www.ycombinator.com/companies/theorem-2/jobs/Le5BTc3-systems-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 90592,
        "title": "Theorem – AI coding that is trustworthy-by-default",
        "tagline": "Program verification for superhumanly complex code",
        "body": "### **TL;DR:** **Please give us your most complicated coding problem that _needs_ to be correct. [Sign up!](https://theoremlabs.com/waitlist/)**\n\nHello World! We’re [Jason](https://jasongross.github.io/) and [Rajashree](https://scholar.google.com/citations?user=41ZE3NwAAAAJ&hl=en&oi=ao)! We think AI code generation is going to be bigger than any of us can imagine.\n\n### **MISSION**\n\nTheorem is an AI and programming languages research lab. Our question: as the models get better at generating code, what is the bottleneck to safely deploying vastly more computation in the world? \n\n* _Code has bugs._  AI-enabled attackers will increase the volume and velocity of attacks on software infrastructure. Human code review will not scale.\n* _AIs are untrusted generators._ In order to deploy AIs in critical systems without fully understanding their generalization behavior, we’ll need robust, scalable methods for overseeing their solutions.\n\n### **OPPORTUNITY**\n\nProgramming languages and formal methods is the promise that we can bootstrap roots of trust. Even as complexity of software goes up, we can design simple interfaces for steering with leverage.\n\nPreviously, this technology was only applied to the most mission-critical infrastructure, because of the enormous labor bottleneck — requiring years of PhD level engineering work. For instance, Jason worked on the project that wrote the code generator powering trillions of secure https connections everyday, but it took fifteen man-years to complete!\n\nWith advances in AI, we’re able to speed this development cycle 10,000 times! As a [wild example](https://www.youtube.com/watch?v=O9nKMjjb3Hg) of what’s possible, we spent two hours finding what would have been a zero-day in https code from 2011.\n\n### **OUR APPROACH**\n\nWe want to build workflows for trustworthy-by-default programming by pushing our best ideas till they break. The current candidate to beat is _program equivalence_ driven development. You oversee a simple reference implementation. We give you an optimized implementation, along with a proof that the programs are functionally equivalent. \n\n![uploaded image](/media/?type=post&id=90592&key=user_uploads/2206829/f5c671df-ac60-4b94-8081-36ae8c0aeda4)\n\nWe’re gradually rolling out our programming environment and models. Some use cases from our customers:\n\n* Performance optimization: finding edge cases where hyper-optimized GPU code would fail; getting clear documentation of dependencies that modify behavior in unforeseen ways. \n* Code migration: automating legacy code refactors from Python to Rust while proving no functional change; writing custom kernels to support new services.\n\n**If you work in public infrastructure, finance, hardware, or have other use cases that demand correctness, we’d love to help. Please reach out at [founders@theoremlabs.com](mailto:founders@theoremlabs.com)**",
        "url": "https://www.ycombinator.com/launches/NZA-theorem-ai-coding-that-is-trustworthy-by-default",
        "votes": 83,
        "created_at": "2025-05-21T14:58:50.047Z"
      }
    ]
  },
  {
    "id": 30549,
    "name": "Airweave",
    "slug": "airweave",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/257567a4b9d73aa0377d1adf521ba46dc6b0340f.png",
    "website": "https://airweave.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Open-source context retrieval for AI agents across workspaces. It connects to productivity tools, email, document stores, or any private data source and transforms their contents into searchable knowledge bases for agents.",
    "one_liner": "The open-source context retrieval layer for agents",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1744594621,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/airweave",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/airweave.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://nl.linkedin.com/company/airweave-dev",
    "x_url": "https://x.com/airweave_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/257567a4b9d73aa0377d1adf521ba46dc6b0340f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1896666,
        "full_name": "Lennert Jansen",
        "title": "Founder/CEO",
        "founder_bio": "Building the context retrieval layer for agents",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lennertjansen",
        "x_url": "https://x.com/lennertjansen",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff9dcb437770df2611911e57bb4a2a58959f1753.jpg"
      },
      {
        "user_id": 1971956,
        "full_name": "Rauf Akdemir",
        "title": "Founder/CTO",
        "founder_bio": "Building Airweave, the dev tool that turns any app into agent knowledge. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/orhan-rauf-akdemir/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c4a3f3d83aa73ed82a874ac38b679759ce60e68.jpg"
      }
    ],
    "jobs": [
      {
        "id": 86032,
        "title": "Founding Software Engineer, Full Stack",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/objmrAG-founding-software-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Python",
          "React",
          "Redis",
          "Distributed Systems",
          "Microservices"
        ]
      },
      {
        "id": 86115,
        "title": "Founding Software Engineer, Data Infrastructure",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/MwvkkF7-founding-software-engineer-data-infrastructure",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $160K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 86116,
        "title": "Founding Software Engineer, Data Infrastructure",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/Xluuse7-founding-software-engineer-data-infrastructure",
        "location": "Amsterdam, North Holland, NL",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€80K - €100K EUR",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Bash/Shell",
          "Git",
          "Kubernetes",
          "Redis",
          "Distributed Systems",
          "Microservices",
          "ETL",
          "Search"
        ]
      },
      {
        "id": 86117,
        "title": "Founding Software Engineer, Full Stack",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/qXyMGJz-founding-software-engineer-full-stack",
        "location": "Amsterdam, North Holland, NL",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€80K - €100K EUR",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 86119,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/OH2VNh6-founding-forward-deployed-engineer",
        "location": "Amsterdam, North Holland, NL",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€80K - €100K EUR",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Kubernetes"
        ]
      }
    ],
    "news": [
      {
        "title": "Airweave Raises $6M Seed Round  - Airweave - Turn Apps Into Agent-Ready Knowledge",
        "url": "https://airweave.ai/blog/seed-round",
        "date": "Jul 03, 2025"
      }
    ],
    "launches": [
      {
        "id": 90465,
        "title": "Airweave - Let Agents Search Any App",
        "tagline": "Open-source tool enabling AI agents to search any app",
        "body": "**TL;DR:** Airweave transforms app data into agent-ready knowledge.\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/bf878d34-b781-4f5b-beb9-17b71a95e527)\n\n# **🎬 Demo**\n\n_Check out our demo below to see Airweave’s G-Drive and Slack search in action used by Claude Desktop, showcasing how Airweave outperforms Anthropic’s own built-in Google Drive connector ⤵️_\n\nhttps://youtu.be/XkC5z0AkW8E\n\n# ❌ **The Problem**\n\n* **Agents struggle with vague or informal requests** like _”Resolve that one Asana ticket about auth configs”_ or _“cancel Alex’s Stripe payment for Taylor Swift tickets”_\n* **Typically, then agents hallucinate when they can't find data,** or rely on inefficient chains of function calls\n* **MCP encourages agent-app interactions, but MCP servers alone don’t make workspaces semantically searchable**\n\n# ✅ **Our Solution: Airweave**\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/c686c20f-62ac-454c-8d3b-d43ce9c857c4)\n\n* **Airweave connects to productivity tools, databases, or document stores makes their contents searchable for agents**\n* **Bottom line:** Your agent gets a simple search endpoint. Your users get reliable, personalized experiences\n\n# **Features**\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/d8e186b6-cc60-4b97-802b-f3ef29cf2a4a)\n\n* **Open-Source**\n* **Simple yet powerful search interface** via REST or MCP\n* **MCP-compatible:** Turn any app into a semantically searchable MCP server\n* [**Python & TypeScript SDKs**](https://docs.airweave.ai/sdks)\n* **Connect to your agent to your favorite apps** like Google Drive, Gmail, Outlook, Google Calendar, HubSpot, Notion, Jira, Slack, Dropbox, Stripe, Github, etc.\n* [**White-Labeled Multi-Tenancy**](https://docs.airweave.ai/white-labeling) to provide OAuth2-based integration across user accounts with secure boundaries\n* **File Handling:** Supported formats: DOCX, PDF, PPTX, XLSX, HTML, TXT, PNG, JPEG\n\n# **Examples of How Customers Use Airweave:**\n\n* Legal AI assistants searching Google Drive/OneDrive to give accurate Perplexity-like answers\n* Agents for engineering managers scanning GitHub, Notion, and Jira to understand codebases and draft design docs\n* Compliance agents verifying marketing materials against current Dropbox financial data in regulated industries\n\n# **🤝 The Team**\n\nLennert and Rauf met in uni 7 years ago, and have been friends since. Lennert did AI research at Amazon and IBM, and has been working with LLMs since 2020. Rauf is a CS grad and worked as a Data Platform Engineer at fast-growing startups and large enterprise.\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/d9d8d633-63a6-4c7b-9a3b-1e7ccaefaca8)\n\n# **📢 Our Asks:**\n\n* **⭐️ [Star us on GitHub](https://github.com/airweave-ai/airweave) ⭐️**\n* **Book a call** if you’re building agents that need to interact with apps, productivity tools, or databases: https://cal.com/lennert-airweave/airweave-q-a-demo\n* **Intro us** to PMs, engineering managers, or more senior at agent product teams and companies: [lennert@airweave.ai](mailto:lennert@airweave.ai)\n* [**Join our Discord community**](https://discord.gg/6wDWUhhuu2)",
        "url": "https://www.ycombinator.com/launches/NX7-airweave-let-agents-search-any-app",
        "votes": 126,
        "created_at": "2025-05-16T14:42:40.410Z"
      }
    ]
  },
  {
    "id": 30552,
    "name": "sieve",
    "slug": "sieveai",
    "former_names": [
      "Sieve"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/459d63741f9af0815baebb98ab6c243158d589c2.png",
    "website": "https://usesieve.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back.\r\n\r\nBy using our AI agents built specifically for financial data collection, along with expert-in-the-loop review, we provide our clients with clean, validated data at a scale and level of quality that wasn't achievable before.",
    "one_liner": "AI + human review to solve data cleaning - accessible via API or Excel",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1747624073,
    "tags": [
      "Investing",
      "Data Engineering",
      "APIs"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sieveai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sieveai.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usesieve",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1591478,
        "full_name": "Nicole Lu",
        "title": "Founder/CEO",
        "founder_bio": "Nicole is co-founder and CEO of sieve, which is solving data cleaning for hedge funds and investment firms. She previously worked at Citadel across Equity Quant Research, Global Trading, and Data Science groups, was a management consultant at McKinsey, and developed cancer detection algorithms at the Broad Institute.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lu-nicole/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8afeb7c737351a294c8a72c2510ef4df86a819d9.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 90521,
        "title": "sieve helps hedge funds extract and clean data from any source directly into their existing tools",
        "tagline": "Focus on differentiated analyses and never think about data cleaning again",
        "body": "**The problem**\n\nRight now, the most sophisticated hedge funds pay over-qualified data engineers to spend hours a day on the under-levered task of data cleaning. It's crazy to anyone outside of the industry, but in finance even earnings dates (the date a company reports earnings) are considered **a known hard problem.**\n\nhttps://youtu.be/V-OpzDRge3o\n\n**Our ask**\n\nWe've solved this problem and our ask to the YC community is - **connect us with anyone you know who works in the investing world and uses data (should be all of them).** You can email us at [founders@usesieve.com](mailto:nicole@usesieve.com).\n\n**Who we are**\n\nAfter studying CS at MIT, I worked at Citadel and McKinsey, and Savannah worked at Bain. We've dealt with this problem first hand and were amazed that there weren't good solutions.\n\n**What we've built**\n\nsieve lets hedge funds replace manual review in their data pipelines with a simple API call, so their engineers and analysts can get back to more differentiated work. Behind the scenes, we use AI to find and retrieve the appropriate source documents and to extract the requested data. Each data point is reviewed by a team of expert reviewers before being returned to the client. This lets us achieve the level of accuracy hedge funds need, and that AI-only approaches aren't able to achieve.\n\nWe offer direct API access and access via other tools like Excel. Watch below to see how the excel integration works!\n\n[**https://youtu.be/r6A1t_X2kZo**](https://youtu.be/r6A1t_X2kZo)\n\n**What the early results look like**\n\n* sieve is able to replace manual data cleaning workflows:\n  * accurately (100% match to data that was hand-collected internally)\n  * more scalably (weeks of full-time work to review data became a passive background task for the data scientist)\n  * more cheaply (easily 60-70% cheaper than existing options, even when that existing option is BPO outsourcing)\n\nIn our first week of YC, we were told that we need to be at least one of: better, faster, or cheaper.\n\n![uploaded image](/media/?type=post&id=90521&key=user_uploads/1591478/5e3dcc39-e2cb-48d4-bf91-5babfba2d701)\n\n![uploaded image](/media/?type=post&id=90521&key=user_uploads/1591478/9bec35c3-4989-4973-b5ab-2fd181799d39)\n\n",
        "url": "https://www.ycombinator.com/launches/NY1-sieve-helps-hedge-funds-extract-and-clean-data-from-any-source-directly-into-their-existing-tools",
        "votes": 83,
        "created_at": "2025-05-19T15:16:31.617Z"
      }
    ]
  },
  {
    "id": 30553,
    "name": "Blueshoe",
    "slug": "blueshoe",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7df632e4878b4cdf452b698c74d065153a45564b.png",
    "website": "https://blueshoe.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Blueshoe is a full-stack law firm that helps people with everything from everyday legal issues to high-stakes litigation and trial.\r\n\r\nPeople can access legal guidance directly through our web app or the AI interfaces where they are already seeking answers. If representation is needed, Blueshoe attorneys handle many cases all the way to resolution, equipped with cutting-edge data, AI-native tools, and operational support.",
    "one_liner": "The AI-Native Consumer + Plaintiff Law Firm",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1746075411,
    "tags": [
      "Consumer",
      "B2B",
      "Legal",
      "LegalTech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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      "Legal"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/blueshoe",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/blueshoe.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/blueshoelaw/",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/blueshoe-e8f8",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1997200,
        "full_name": "Casey O'Grady",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO of Blueshoe. Harvard Law → Strategy Consulting → Legal Tech.\n\nBuilding Blueshoe to rewire the practice of law.\n\nPreviously advised Fortune 500 companies on AI adoption. Author of Agentic Workflows in the Practice of Law (Georgetown Journal of Legal Ethics, Spring 2025).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/casey-og",
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      {
        "user_id": 1499064,
        "full_name": "Kai Yee Wan",
        "title": "Founder/CTO",
        "founder_bio": "Building Blueshoe, the agentic law firm for justice that never sleeps. Previously I have been a research assistant at MIT CSAIL, embedded software engineer at Google (Chrome and Nest teams), and lecturer in computer science at Northeastern University.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kywan",
        "x_url": "https://x.com/kaiyeewan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39e3c2c85366f399f584fb8d5a3cb351a57226a4.jpg"
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    "launches": [
      {
        "id": 103927,
        "title": "Blueshoe: Elite legal service. For everyone.",
        "tagline": "The first AI-native consumer + plaintiff law firm",
        "body": "Blueshoe is a full-stack law firm that helps people with everything from everyday legal issues to high-stakes litigation and trial.\n\nPeople can access legal guidance directly through our web app or the AI interfaces where they are already seeking answers. If representation is needed, Blueshoe attorneys handle many cases all the way to resolution, equipped with cutting-edge data, AI-native tools, and operational support.\n\n<https://youtu.be/dLk-LHxAa5Q>\n\n**The Problem**\n\nEvery year in the United States, billions of dollars in legal needs go unmet because trustworthy, affordable help remains out of reach. Legal technology has been built for law firms and corporations, not the people seeking justice.\n\n**Blueshoe changes that.** \n\nBy bringing technology and legal services together, Blueshoe makes legal help more accessible, effective, and reliable with support across: \n\n* [Employment](https://www.blueshoe.com/for/employment)\n* [Property &amp; Housing](https://www.blueshoe.com/for/property-construction)\n* [Personal Injury](https://www.blueshoe.com/for/medical-injury)\n* [Consumer Protection](https://www.blueshoe.com/for/consumer-financial)\n* [Product Liability](https://www.blueshoe.com/for/product-environment)\n* [Commercial Disputes](https://www.blueshoe.com/for/creators)\n\n**How we do it**\n\n**1. Rebuilding the legal buying experience**\n\nToday, millions of people turn to AI before they ever call a lawyer. Blueshoe meets them there. \n\nAnyone using ChatGPT, Claude, Gemini, or other AI tools can connect directly with a Blueshoe attorney for a timely legal assessment and structured intake. All for a flat fee.\n\n**2. Making elite trial lawyers accessible**\n\nThe lawyers winning the largest verdicts aren't advertising on billboards or chasing clicks on TikTok.\n\nBlueshoe identifies, vets, and partners with exceptional trial lawyers, making high-quality representation accessible to the people who need it most.\n\n**3. Helping lawyers do their best work**\n\nMost lawyers spend too much time running a business and not enough time practicing law.\n\nBlueshoe provides qualified clients, AI-native software, and centralized operations in a single system. Lawyers focus on strategy, advocacy, and outcomes.\n\n**Who and why**\n\nWe're a [Harvard-trained lawyer](https://www.linkedin.com/in/casey-og/) and an [MIT engineer](https://www.linkedin.com/in/kywan/).\n\nWe’re building the law firm for a generation that expects everything always-on. A firm where technology doesn't replace judgment, but amplifies it, and where scale makes justice more human, not less.\n\nIf you're up against a legal issue — or you're a lawyer who wants to build the future of law — visit us at [blueshoe.com](http://blueshoe.com).\n\n![uploaded image](/media/?type=post&id=103927&key=user_uploads/1499064/d04c7ae1-d263-4f30-9f79-c90ac9aa7c1d)\n\n",
        "url": "https://www.ycombinator.com/launches/R2F-blueshoe-elite-legal-service-for-everyone",
        "votes": 22,
        "created_at": "2026-06-24T17:06:10.563Z"
      }
    ]
  },
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    "id": 30554,
    "name": "Bond",
    "slug": "bond",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4056bd531497eb8c59fcb550011c9196adad6a6.png",
    "website": "https://www.bondapp.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bond is an AI Chief of Staff that gives CEOs and busy executives real-time visibility into what’s happening across the company and tells them what to focus on. Saving execs 10+ hours a week.\r\n",
    "one_liner": "Your AI Chief of Staff",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1748290714,
    "tags": [
      "B2B",
      "Workflow Automation",
      "Productivity",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bond",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bond.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/thebondapp",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 959902,
        "full_name": "Chloe Samaha",
        "title": "Founder/CEO",
        "founder_bio": "Building the world's best AI Chief of Staff. Occasional skydiver, tennis, and guitar player.\n\n ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chloesamaha/",
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    "jobs": [
      {
        "id": 99329,
        "title": "GTM/Customer Success Lead",
        "url": "https://www.ycombinator.com/companies/bond/jobs/heVAbp8-gtm-customer-success-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 90815,
        "title": "BOND: AI Chief of Staff for CEOs and busy execs ⏳",
        "tagline": "Eliminate pointless meetings and save 10+ hours a week. ",
        "body": "Hey YC! 👋\n\n**TL;DR**\\\nBOND plugs into your tools (Slack, Jira, Notion, GitHub, Salesforce, etc.) to give CEOs real-time visibility on the metrics that matter and pings you when risks, blockers or wins appear. No more status-update meetings or scrambling for information. \\\n\\\n\\*\\*Save 10+ hours and thousands of dollars a week.\\*\\*\\\n[https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp](https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp%5C)\n\n⚠️ **The Problem**\n\n* **Data fog:** At 30 employees, you juggle 5+ tools that don’t talk to each other; by 100, it’s 20 tools…eventually, visibility vanishes as you scale.\n* **Hunting answers:** Every question spawns meetings, email chains, or Slack searches. 10 people pause work just to pull reports.\n* **Missed moments:** No real-time insight means lost chances to unblock projects or close deals…you’re stuck in reactive fire drills.\n\n\\\n**🛠️ Meet BOND: Your AI Chief of Staff**\n\n* **Ask Donna Anything**: A chatbot that has the answers to all of your questions. Your single source of truth across every tool in your stack.\n* **Presidential Brief**: Each morning BOND sends a one-page snapshot via Slack or email: what moved, who’s blocked, and your top 3 priorities. No more all-hands, just the intel you need to start your day.\n* **Live Dashboard**: Central view of KPIs, project statuses (with owners), and team capacity.\n* **Pattern Radar**: Automated alerts on stalled projects, team overload, churn spikes, and outliers.\n\n  ![uploaded image](/media/?type=post&id=90815&key=user_uploads/959902/c1e5b82f-7386-4575-9bfd-94a2a75ad052)\n\n\n**🌟 Why We Built It**\\\nAfter 2,000+ interviews with CEOs, CoSs and execs, one insight stood out: knowledge management is broken. \n\nWith LLMs and vector search, we finally have the tech to tear down the data silos, and KILL the data fog.\\\n\\\n\\*\\*We’re on a mission to collapse management layers and help companies ship 1000x faster.\\*\\*\\\n\\\n**🔐 Enterprise Ready**\\\nYour data is safe. SOC II and more provided by [Probo (YC X25)](https://www.ycombinator.com/companies/probo)\\\nBOND runs inside your infra, so your data never leaves your walls. **\\\n\\\n🏁 Start Today\\\nReady to get your sh\\*t together? We have limited pilot spots.\\\n✉️ Email: [founders@bondapp.io](mailto:founders@bondapp.io)\\\n💬** **Text:** +1 (415) 418-4017\\\n**\\\n👉** For more info: [**bondapp.io**](http://bondapp.io)\\\n\\\n**Your time is too valuable to waste.** \\\n_Stop talking about work—let BOND be your CoS so you can actually get things done._",
        "url": "https://www.ycombinator.com/launches/Ncl-bond-ai-chief-of-staff-for-ceos-and-busy-execs",
        "votes": 195,
        "created_at": "2025-05-28T16:33:41.699Z"
      }
    ]
  },
  {
    "id": 30558,
    "name": "BitPatrol",
    "slug": "bitpatrol",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a49803acbbc34d447ce47d0129bde3f02dd6b0ec.png",
    "website": "https://www.bitpatrol.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Leverage cutting-edge AI to detect exposed credentials in real time and protect your organization from high-impact data breaches.",
    "one_liner": "AI-powered code security",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1747422859,
    "tags": [
      "DevSecOps",
      "Machine Learning",
      "Cybersecurity"
    ],
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        "full_name": "Christopher Lambert",
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        "founder_bio": "Building BitPatrol — AI-powered secret detection that actually works. ex-Stripe, Tesla, Lyft.",
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        "title": "🚨 BitPatrol – Secret Detection That Actually Works",
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        "body": "**Vibe coding is flooding GitHub with leaked secrets.**\n\nAs writing code becomes increasingly accessible, it's easier than ever to accidentally expose API keys, database credentials, SSH private keys, and more.\n\n**TLDR:** BitPatrol detects secret leaks in your source code that traditional scanners miss, helping you prevent costly data breaches.\n\n🎥 **Launch Video:** [Watch here](https://youtu.be/2qu3B_bX7dw)\n\n---\n\n### **The Problem**\n\nSecret leaks are happening every day, impacting companies across every industry. Traditional scanning tools attempt to catch these leaks using rigid regex patterns and keyword matching.\n\n![uploaded image](/media/?type=post&id=90617&key=user_uploads/2475147/274a7869-42fd-41fc-86f4-668846d4d01e)\n\nHowever, these methods struggle with secrets that don't follow set patterns, allowing critical leaks like these to slip through undetected.\n\n![uploaded image](/media/?type=post&id=90617&key=user_uploads/2475147/e67f96a4-a636-461e-9434-93a92f23f1ff)\n\n### **Our Solution**\n\nUnlike legacy tools that rely on regular expressions, BitPatrol uses our proprietary machine learning model to detect secrets based on code context and developer intent – not just string patterns.\n\n![uploaded image](/media/?type=post&id=90617&key=user_uploads/2475147/243b128a-4438-4e39-bf3b-7c6c1b8e3d32)\n\nOnce our model flags a potential secret, we reference it against our dataset of billions of public commits, docker images, and open source packages. This helps us rapidly assess the secret's exposure frequency, drastically reducing false positives and solving the issue of alert fatigue.\n\nUsing our [GitHub App](https://github.com/apps/bitpatrol), you can trigger actions that occur when a secret is detected, including automated alerts and custom workflows to immediately respond and remediate when a secret is leaked.\n\n### **The Team**\n\nBitPatrol was founded by [Chris Lambert](https://www.linkedin.com/in/~chris), a former Stripe engineer who quickly rose to the top 2% globally on HackerOne after uncovering secret leaks at some of the world’s largest companies—many of which were actively using our competitor’s tools.\n\n### 🙏 **Ask: How You Can Help**\n\n* **Try BitPatrol:** Install our [GitHub App](https://github.com/apps/bitpatrol) and experience immediate, real-time secret detection.\n* **Connect with Us:** If you know a technical leader concerned about protecting their company from secret leaks in code, please connect them to [founders@bitpatrol.io](mailto:founders@bitpatrol.io)\n\n### 🔥 **The Deal**\n\nTo celebrate our launch, we’re offering:\n\n* **Free 2024 Company Secret Leak Audit**\n  * External-only scan — requires no internal data access\n  * Deep, high-coverage audit of your public code surface (commits, mobile apps, etc.)\n  * Request an [audit here](https://docs.google.com/forms/d/e/1FAIpQLSfBwBwk9-tizbOo1y3Aj9aK6jXeX8QNKJIhwEFTp0OuvhcNAg/viewform?usp=header)\n* **Exclusive early-adopter pricing**\n  * Just $20/dev/month for real-time secret scanning with our [GitHub App](https://github.com/apps/bitpatrol)\n\nDon’t let vibe coding turn into your next major breach—secure your code with BitPatrol today.\n\n👉 [Get started at BitPatrol.io](https://bitpatrol.io/) or reach out directly: [founders@bitpatrol.io](mailto:founders@bitpatrol.io)",
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        "full_name": "Cinnamon Sipper",
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        "url": "https://www.ycombinator.com/companies/godela/jobs/rKMZtYt-founding-engineer-swe-godela",
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        "title": "Godela: AI Powered Physics Engine for Engineers",
        "tagline": "Bringing AI powered intelligence to the physical world",
        "body": "**AI powered physics is the next frontier**\n\n**TL;DR:** Godela is an AI-powered physics engine that gives engineers faster, cheaper, simulation-quality answers to even the most complicated engineering problems.\n\nHi YC—we’re @Cinnamon Sipper and @Abhijit Pamarty, former engineers at Apple, Google, and Intel, now turning our Stanford research into the future of engineering.\n\nhttps://youtu.be/I5E1Zi9cpM4\n\n**The Problem: Engineering Discovery is Too Slow.** Every groundbreaking innovation—from fusion reactors to life-saving drugs—hinges on understanding how the physical world works. Yet, engineers spend agonizing weeks, even months, wrestling with complex simulations, preprocessing data, and manually tuning parameters just to answer _one_ question. Many critical questions go unasked because the effort is too great.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/03894dba-703c-4a25-a00b-b1ba24b27392)\n\n**Our Vision: Ask About the Physical World as Easily as You Use Language.** Imagine a world where understanding the implications of a new design, material, or physical scenario is as instant as a search query. That’s the future Godela is building.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/b7ae00e6-d8ea-4354-a110-233a65568e0f)\n\n**Introducing Godela: Your AI Copilot for Engineering.** Godela is an AI-native platform that transforms your engineering questions into computable, physics-informed models—instantly.\n\n* **Ask Anything:** Pose complex questions in natural language or with your existing data.\n* **Upload Your World:** Integrate CAD files, experimental results, or existing simulation data.\n* **Get Instant Insights:** Receive actionable, simulation-quality models you can explore, refine, and iterate on immediately.\n\nInstead of replacing simulations, Godela becomes their intelligent, adaptive home—blending diverse data sources with AI to provide insights that were previously out of reach or would take weeks to uncover.\n\n**Why We’re Building This:** As engineers who’ve designed everything from chips and laptops to particle accelerators, we’ve lived the frustration of slow design-simulation loops. Inspired by how AI revolutionized access to information (like ChatGPT for language), we believe it’s time for the same leap in understanding the physical world.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/308937e8-b076-46b9-a432-39585f6ea464)\n\n**Partner with Us:** We're looking for forward-thinking engineering teams eager to break free from traditional simulation constraints. If you know engineers battling simulation bottlenecks, send them our way!\n\nIf you want to accelerate your design cycles and unlock new levels of understanding:\n\n🌐 Visit: [www.godela.ai](http://www.godela.ai) \n\n✉️ Email us: [founders@godela.ai](mailto:founders@godela.ai) \n\n🗣️ Talk to us: https://calendly.com/cinnamon-sipper",
        "url": "https://www.ycombinator.com/launches/NcV-godela-ai-powered-physics-engine-for-engineers",
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        "created_at": "2025-05-28T13:50:39.357Z"
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    "name": "Sureform",
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    "website": "https://www.sureformhq.com/",
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        "title": "Sureform: Turning physical expertise into training data for world models and robotics",
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        "body": "Sureform connects workplaces like hotels, warehouses, and restaurants with robotics labs to collect task-specific training data for world models and robot foundation models.\n\n**Problem**\n\nTo create a future where robots can reliably perform specialized tasks, like restocking inventory in a pharmacy or repairing downed power lines, robotics teams need massive amounts of task-specific human and robot data. Data that’s crafted in simulation or in controlled environments doesn’t reflect the natural variation and complexity of the world, and as a result, we need significantly more real-world action data across each of the millions of highly-specialized physical tasks that need to be automated.\n\n**Solution**\n\nTo solve this problem, Sureform’s platform enable robotics teams to get task-specific data from workplaces like hotels, construction sites, laundromats, and warehouses, where employees are equipped with head-mounted RGB cameras, stereo depth rigs, and handheld grippers that capture time-synced video, audio, pose, depth, and tactile data as they work. Every session of data captured through our platform is structured, synchronized, and delivered training-ready.\n\n<https://www.youtube.com/watch?v=JNt7ev_ClxM>\n\n\\\n**Our Ask**\n\nIf you’re working on robot foundation models or world models (or know anyone who is), reach out to [ananth@sureformhq.com](mailto:ananth@sureformhq.com) or schedule a meeting here:[ https://calendly.com/sureform-us/30min](https://calendly.com/sureform-us/30min)\n\nAnd if you own or work at a business that’s interested in growing revenue through data collection and, later down the line, automating physical ops with robots, reach out as well!",
        "url": "https://www.ycombinator.com/launches/PVc-sureform-turning-physical-expertise-into-training-data-for-world-models-and-robotics",
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    "one_liner": "AI agents for web testing",
    "team_size": 2,
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        "full_name": "Nishant Hooda",
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        "founder_bio": "Building the future of software testing. Ex-engineer at Stripe and Brex.",
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        "full_name": "Boris Skurikhin",
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        "id": 90473,
        "title": "Docket – AI agents for QA testing",
        "tagline": "Docket lets you test your website in plain English, and automatically keeps tests up to date",
        "body": "**TL;DR**\n\n**Docket lets you write tests in plain English. Then we keep those tests in sync with how users actually interact with your product — no more flaky selectors or stale test scripts.**\n\n---\n\n### **The Problem**\n\nE2E tests are a _pain_ to write — and an even bigger pain to maintain.\n\n* Writing Cypress or Playwright tests is time-consuming and brittle\n* Even no-code tools require manually defining flows or relying on flaky CSS selectors\n* Every UI change risks breaking your suite, forcing teams to either spend hours fixing tests or just give up and test manually\n\nMost teams hit the same tradeoff: **move fast and break things** — or slow down to ensure quality.\n\n### **Our Solution**\n\nDocket lets you:\n\n* Write tests in plain English (\"Log in, Search for Y Combinator t shirt, Add 2 shirts to cart\")\n* Skip the brittle selectors — we use multimodal agents that interact with the page like humans\n* Automatically keep tests up to date with real user session data\n\n---\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/5977d1c3-f564-4d67-b623-319bb6252efd)\n\n### **Meet the Team**\n\nWe’re **Nishant** and **Boris** — two engineers who dreaded writing tests so much, we started a company to fix it.\n\nWe met while working at **AWS**, and between us, we’ve built and shipped products at **Stripe, Citadel, Brex, and Patreon**. But testing was always the drag. Writing tests took forever. Keeping them working was even worse. We constantly felt the pain of choosing between moving fast and having confidence in our code.\n\nSo we’re building the tool we wish we had: **Docket** — tests in plain English that stay up to date, without the maintenance burden.\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/f2b9cf37-f50c-4c40-8ca9-6a43d5069a0b)\n\n---\n\n### **Launch Offer**\n\nAs part of our launch, we’re offering **free complete test suite implementations** for our next 10 customers. Book a demo [here](https://calendly.com/nishant-docket/docket-intro-meeting)!\n\n\\\n— Nishant & Boris\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/c4bc7ae4-7794-4316-9dce-883ce72a97fc)\n\n",
        "url": "https://www.ycombinator.com/launches/NXF-docket-ai-agents-for-qa-testing",
        "votes": 142,
        "created_at": "2025-05-16T16:59:32.208Z"
      }
    ]
  },
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    "id": 30565,
    "name": "Cohesive",
    "slug": "cohesive",
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    "website": "https://getcohesiveai.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Cohesive is the agentic CRM for blue collar businesses like janitorial, pressure washing, landscaping, HVAC, and pest control businesses. Cohesive fully automates sales and marketing outreach to local businesses and property owners in the service area, helping local service businesses grow even while servicing clients in the field.",
    "one_liner": "The agentic CRM for blue-collar services",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747185757,
    "tags": [
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      "SaaS",
      "B2B",
      "Sales",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/cohesive",
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cohesive-ai",
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      "name": "Aaron Epstein",
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        "user_id": 791986,
        "full_name": "Kevin Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Building Cohesive, the agentic CRM for blue collar businesses",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevindzhang/",
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        "user_id": 1323910,
        "full_name": "Nam Nguyen",
        "title": "Founder/CTO",
        "founder_bio": "Former founding engineer at Starlight (South Park Commons fintech) and former ML engineer at Microsoft. Builder at heart, with a love for systems programming and math puzzles. Now on a mission to help blue-collar entrepreneurs scale with AI at Cohesive.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nam-nguyen96/",
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    "launches": [
      {
        "id": 90422,
        "title": "Cohesive - AI CRM for blue collar businesses 🧹🧤",
        "tagline": "We automate sales and marketing for blue collar companies, helping them stay on top of new commercial opportunities in their service area",
        "body": "Hey everyone, we’re[ Kevin](https://www.linkedin.com/in/kevindzhang/) and[ Nam](https://www.linkedin.com/in/nam-nguyen96/) - cofounders of[ Cohesive](https://getcohesiveai.com/) 👋\n\n**TL;DR**\n\nCohesive helps service business owners take control of their own destiny - our agentic CRM fully manages growth today for over 350 commercial cleaning, landscaping, and pest control owners.\n\nhttps://www.youtube.com/watch?v=DE3ZNisKZoQ\n\n**❌ The Problem**\n\nIf you run a commercial service company (e.g., janitorial, HVAC, landscaping, pest control), you’re probably out in the field quite often visiting clients.\n\nSince you’ll be constantly on the move, most of your growth is dependent on others - outsourced sales talent (like offshore VAs), paid ads (like LSA), or from marketing agencies (like for SEO or lead generation). \n\nThis is the reality for the 1+ million blue-collar businesses in the United States today.\n\n**👷 Our Solution**\n\nOur agentic CRM helps service businesses grow by in-housing growth:\n\n* **Market Research:** building out a list of potential business owners and property owners and their contact information in their service area\n* **Outreach:** automatically reaching out to potential targets to assess interest, and self-updating the CRM accordingly\n* **Monitoring:** constantly monitoring and triggering follow-ups based on active signals (e.g., new location opening or existing contract ending)\n\nIt’s helped our customers so much that one of early clients is buying us NBA floor tickets (albeit for the worst team in the league):\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc1EFN9K8a4exd5YmdWDeo6af4PDp4M_GTp8eqIRZB0pf5nxrh7OWotK1VZQg3QYBjQ7QbclIsSJm5TkIyz6W50FTO_OD01zEGaFOOgM82Jy2nA2iA5Tg13zVXg6gP_FtTUJ2GSGg?key=HJjAgxbnHaeSWRuTHARDMw)\n\n🙏 **Our Ask**\n\n* Follow us on [Linkedin](https://www.linkedin.com/company/cohesive-ai)\n* Share this post - do you know anyone running a commercial service business (e.g., did you recently hire a janitor or landscaper? Let them know - they can book a demo [here](https://calendly.com/cohesiveapp/demo)!)\n* Learn more at [getcohesiveai.com](http://getcohesiveai.com)\n\n**👬 The Team**\n\nKevin and Nam have known each other for years (founded a 50K MRR+ service business together before) and co-founded Cohesive in late 2024. \n\nKevin (CEO): Previously led a product at Charthop (a16z-backed HR tech), and was a consultant at McKinsey, where he worked with national service franchises on GTM strategy. BS Econ at Duke\n\nNam (CTO): built LLM-powered recommendation systems at Microsoft, founding engineer at Starlight (South Park Common and General Catalyst backed fintech startup). CS and Math grad from Williams",
        "url": "https://www.ycombinator.com/launches/NWQ-cohesive-ai-crm-for-blue-collar-businesses",
        "votes": 139,
        "created_at": "2025-05-15T20:54:37.401Z"
      }
    ]
  },
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    "id": 30566,
    "name": "Preseen",
    "slug": "preseen",
    "former_names": [
      "Alpha's Game",
      "Ludus",
      "Ludus Labs",
      "Rid",
      "Chestnut Forty"
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    "website": "https://preseen.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build forecasting agents for global macro events. ",
    "one_liner": "The AI forecasting company for global macro events. ",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1754272842,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Analytics"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/preseen",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/preseen.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1235668,
        "full_name": "Veniamin Veselovsky",
        "title": "Founder",
        "founder_bio": "Prior to joining YC, Veniamin was a PhD student at Princeton where he worked on large language models. His work is widely cited and covered by the media. Before that, he did research in Toronto, Switzerland, Germany, and had a brief stint at a Ukrainian start up building interactive tables. ",
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        "linkedin_url": "https://linkedin.com/in/veniamin-v-bb1985116",
        "x_url": "https://x.com/VminVsky",
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        "user_id": 1353690,
        "full_name": "Theodore Summer",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/twsummer/",
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    "launches": [
      {
        "id": 92696,
        "title": "Rid - Sell with a Text",
        "tagline": "We make selling easier than buying",
        "body": "Selling your stuff sucks. \n\nRid makes it easy. Like really easy. Easier than buying easy. \n\nYou just have to text us a photo of what you want to sell and we’ll find you a buyer.\n\n![firstmessage](https://sjvqlzjpxgbsqfphrsbe.supabase.co/storage/v1/object/public/others//rid-first-message-short-cropped-final.gif)\n\nBehind the scenes, we first become experts on your product. Imagine a dedicated sales person for each of your items.\n\n![product-dashboard](https://sjvqlzjpxgbsqfphrsbe.supabase.co/storage/v1/object/public/others//product-dashboard-v2.png)\n\nAfter we understand what you’re selling, the real magic begins. We will find the person who is looking to buy exactly what you’re selling.\n\nThe next text message you get from Rid will coordinate us picking up the item from you.\n\n![buyer](https://sjvqlzjpxgbsqfphrsbe.supabase.co/storage/v1/object/public/others//rid-buyer.gif)\n\nThat’s all. You’ve sold your thing. \n\nIn the background our AI agents are working hard to provide you this frictionless experience. Handling listings, selecting markets, negotiating with buyers, and answering questions.\n\nWhether you're moving, cleaning out your closet, or looking to make a little extra cash, let us sell your stuff – no headache.\n\nFor now we’re launching only in the Bay Area, but if you’re elsewhere text Rid your zip code and we’ll notify you when we’ve launched in your area.\n\n**Who are we?**\n\nBenedikt and Veniamin met during their PhDs at Princeton, where they worked on language models. Now they’re excited to bring their expertise to agentifying resale.\n\nIf you want to chat about resale or have product recommendations, email us at [founders@rid.me](mailto:founders@rid.me).\n\nhttps://www.youtube.com/shorts/thqVjE_xYh4",
        "url": "https://www.ycombinator.com/launches/O76-rid-sell-with-a-text",
        "votes": 94,
        "created_at": "2025-08-04T14:56:14.689Z"
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    "id": 30592,
    "name": "Prox",
    "slug": "prox",
    "former_names": [
      "DART",
      "Stealth",
      "Dart Labs",
      "prox"
    ],
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    "website": "https://useprox.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Prox turns product expertise into revenue for equipment manufacturers.\r\n\r\nEquipment buyers rarely begin with a model number. They begin with a job, an installed system, a constraint, or a problem. The knowledge needed to qualify, recommend, configure, quote, repair, replace, or upgrade the product is scattered across manuals, catalogs, spreadsheets, calculators, product managers, applications engineers, dealer processes, support teams, and legacy systems. The result is abandoned demand, slow qualification, wrong-fit recommendations, quote delays, weak dealer follow-up, missed parts and service revenue, and dependence on a few experienced people.\r\n\r\nProx builds AI product specialists for equipment manufacturers. A product specialist uses the manufacturer's approved product knowledge, expert rules, calculators, and connected systems to move customers and frontline teams from a complex product question to the right purchase, quote, dealer, parts, service, replacement, or upgrade path.\r\n\r\nHow it works:\r\n\r\n1. Understand what the person is trying to accomplish.\r\n2. Resolve the product, application, and operating context already available.\r\n3. Ask only for the missing information that changes the result.\r\n4. Apply approved sources, expert rules, and deterministic tools (calculators, selectors, configurators, comparisons).\r\n5. Produce a supported, cited recommendation, configuration, procedure, or decision artifact.\r\n6. Move the person into the correct cart, quote, RFQ, BOM, dealer, sales, parts, service, replacement, upgrade, or expert action with the context preserved.\r\n\r\nOne product specialist, many governed skills: product discovery and comparison, sizing and configuration, competitive defense, quote preparation, dealer enablement, installation and commissioning, troubleshooting, parts identification, and approved service, replacement, and upgrade paths. Manufacturers deploy those skills to customers, dealers, sales teams, applications engineers, support teams, or field service. Existing CRM, CPQ, commerce, and support systems stay in place.\r\n\r\nSupport and service are revenue-bearing surfaces. The specialist resolves the customer's problem first, then surfaces the approved part, service, replacement, or upgrade path only when the evidence supports it.",
    "one_liner": "AI product specialists for equipment manufacturers",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1759337800,
    "tags": [
      "Customer Success",
      "E-commerce",
      "Customer Support",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Retail"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/prox",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/prox.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/prox-inc/",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 1022456,
        "full_name": "Dima Yanovsky",
        "title": "Founder",
        "founder_bio": "mit '25",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yanovsk/",
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      },
      {
        "user_id": 3066807,
        "full_name": "Gregory Makodzeba",
        "title": "Founder",
        "founder_bio": "> founded Rektoff (built security systems protecting >$100B; clients: Solana) \n> led DevRel at Runtime Verification (among clients: NASA, Boeing)\n> grew up in a family distribution business\n> studied aviation management and computer science",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gregory-makodzeba/",
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      {
        "id": 92782,
        "title": "Founding Engineer at Prox",
        "url": "https://www.ycombinator.com/companies/prox/jobs/0OlQtPT-founding-engineer-at-prox",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K",
        "equity_range": "1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98421,
        "title": "Founding GTM Engineer",
        "url": "https://www.ycombinator.com/companies/prox/jobs/E1rWvQT-founding-gtm-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $180K",
        "equity_range": "0.25% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98422,
        "title": "Executive Assistant & Operations",
        "url": "https://www.ycombinator.com/companies/prox/jobs/LoltdId-executive-assistant-operations",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $120K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98423,
        "title": "Videographer & Creative Producer",
        "url": "https://www.ycombinator.com/companies/prox/jobs/Nq3ECpl-videographer-creative-producer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $130K",
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        "experience": "Any (new grads ok)",
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      },
      {
        "id": 98424,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/prox/jobs/VKpZh1L-forward-deployed-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $190K",
        "equity_range": "0.35% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 95414,
        "title": "Prox: digital co-workers for logistics operations",
        "tagline": "📦 Prox builds digital workforce for third-party logistics and fulfillment providers. ",
        "body": "Greg and Dima here - childhood friends, grew up in our families’ warehouses - now YC founders building Prox.\n\n**launch video:** https://www.youtube.com/watch?v=9Ywl-K7ncj0\n\n---\n\n**tldr:**\n\n[**Prox**](https://www.prox.inc/) builds digital workforce for third-party logistics and fulfillment providers. We deployed our first agents at [**ShipBob**](https://www.linkedin.com/company/shipbob) (unicorn 3PL handling 100+ million packages per year) to automate carrier claims for lost-in-transit packages. **They're now live in production, processing hundreds of claims in parallel and on track to recover millions in carrier refunds annually.**\n\n**what is 3PL?**\n\nthird-party logistics companies (3PLs) are the invisible infrastructure behind e-commerce brands: they warehouse inventory, fulfill orders, manage returns, and negotiate with carriers so brands don't have to.\n\n**the problem:**\n\n40,000+ 3PLs in the US all do the same thing: throw people at operational bottlenecks.\n\n❌ Claims processing done manually, one by one \\\n❌ Invoice reconciliation eating hours of labor \\\n❌ Compliance paperwork blocking growth \\\n❌ Every increase in package volume = more back-office hires\n\nThat's the margin trap. Logistics companies stuck at 3-5% margins because headcount scales linearly with volume of packages. You can't compound when labor costs are linear.\n\n**what we built:**\n\nWe developed an n8n-inspired agent building platform - native to logistics infrastructure. It integrates with Salesforce, warehouse & transportation management systems, carrier portals, Microsoft Teams, and email → then executes SOPs end-to-end.\n\nWith this platform, we can deploy agents in production in a matter of days.\n\n![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/dc3e69b6-c3f6-476d-94c5-578b3a02d9de)\n\n**use case: ShipBob Carrier Claims Automation**\n\nHere’s an example of how our agents handle lost package claims for [ShipBob](https://shipbob.com/), one of the biggest 3PLs in the US.\n\n> first demo at ShipBob HQ in Chicago\n>\n> ![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/cd110709-17ec-410e-90c8-e3c0d7db72f5)\n\n\nWhen a package goes missing - our agent orchestrates resolution: pull order data, calculates refund amounts, files with carriers, monitors responses, parses updates, syncs internal systems, escalates exceptions - hundreds running in parallel.\n\nOur agents do not stop at task execution - we designed them to own outcomes. If a carrier doesn't respond, the agent follows up. If documentation is missing, it fetches it. Each agent has one objective: get the claim resolved.\n\n**about us:**\n\n[**Gregory Makodzeba:**](https://www.linkedin.com/in/gregory-makodzeba/)\n\n* Founded Rektoff: built blockchain security infrastructure protecting $100B+ in crypto assets (clients: Solana Foundation)\n* Led Developer Relations at Runtime Verification, working with NASA, Boeing, and Ethereum Foundation on formal verification for mission-critical systems\n* Grew up implementing ERP and WMS systems in the family distribution business\n\n[**Dima Yanovsky:**](https://www.linkedin.com/in/yanovsk/)\n\n* MIT grad: Computer Science + Electrical Engineering\n* Robotics research at MIT CSAIL under Prof. Pulkit Agrawal on manipulation policies;\n* Built internal and customer-facing AI agents at Pulley (YC W20) during early GPT era\n* Spent childhood automating warehouse operations and business processes\n\nWe both grew up in our parents' warehouses. When we weren't moving boxes around, we were doing the mundane back-office work every warehouse has (filing claims, reconciling invoices, chasing carriers). This was the pre-LLM era, so we had no choice but to grind through manual workflows. We saw firsthand how coordination became the biggest constraint on growth - and how no software could actually handle it end-to-end.\n\n![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/68380300-ee0e-4379-98de-de1b551b269e)\n\nWe deeply understand the ontology of logistics operations. That's why we can ship integrations in days, not months. We're building the digital workforce we wish existed back then.\n\nIf you're running logistics operations at a 3PL, fulfillment center, or freight forwarder, or know someone who is - reach out: [founders@prox.inc](mailto:founders@prox.inc)\n\n---",
        "url": "https://www.ycombinator.com/launches/Oow-prox-digital-co-workers-for-logistics-operations",
        "votes": 130,
        "created_at": "2025-11-11T23:07:29.395Z"
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    "website": "https://www.adaptional.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Adaptional is building agentic AI for insurance claims. Claims are 75% of every dollar in the $1T insurance industry -- and one of the most under-optimized areas, still managed by adjusters working hundreds of files by hand. We're changing this with AI claims review agents, already deployed at some of the major P&C carriers. \r\n\r\nIn the future, claims will be powered by an intelligence layer that manages files and escalates actions to human adjusters. Adaptional is building the AI system that will be the foundation for every claims department across P&C insurance.",
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        "user_id": 423912,
        "full_name": "Kevin Cox",
        "title": "Founder/CTO",
        "founder_bio": "Co-founded and sold digital insurance brokerage Savvy (W20). Led engineering teams at Clipboard Health while revenue grew profitably from $30M -> $130M. Building Adaptional - AI for commercial insurance.",
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        "full_name": "Suril Kantaria",
        "title": "Founder",
        "founder_bio": "Cofounder of Adaptional S25 and Savvy W20, a digital insurance brokerage for startups & SMBs. Previously on the early team at X/xAI and Primer, a NLP lab that raised $250m+.",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/adaptional/jobs/k7W6ge9-founding-engineer",
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        "type": "Full-time",
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        "role_type": "Full stack",
        "salary_range": "$180K - $280K",
        "equity_range": "1.00% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 99740,
        "title": "Founding GTM Lead",
        "url": "https://www.ycombinator.com/companies/adaptional/jobs/D8ofuWJ-founding-gtm-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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    "id": 30598,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Founded in 2023, GETASAP is a San Francisco–based technology and supply chain infrastructure company transforming fresh produce distribution and freight.\r\n\r\nGETASAP Fresh provides same-day delivery to thousands of restaurants and retail locations across the USA, sourcing directly from farms internationally and operating global cold-chain infrastructure. It also operates an AI-native freight carrier and brokerage, delivering reliable reefer LTL and FTL services powered by VoiceAI dispatch, optimized scheduling, and real-time operational intelligence.",
    "one_liner": "AI-Native Fresh Produce Logistics",
    "team_size": 30,
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      "name": "Harj Taggar",
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        "user_id": 2775202,
        "full_name": "Raghav Arora",
        "title": "Founder/CEO",
        "founder_bio": "Started GETASAP at 14 - Building the Doordash(Dashmart) for B2B - we deliver inventory in 8 hours to retailers of any size using retail data & micro fulfillment centers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raghav-arora-516b1826b/",
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        "user_id": 1869676,
        "full_name": "Pranavkrishna Suresh",
        "title": "Founder/CTO",
        "founder_bio": "19 y/o. CS @ Georgia Tech. Building the physical and technology infrastructure to power AI-Native Fresh Produce Logistics. Prev @ AWS & GovTech Founder. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pranavkrishnasuresh/",
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    "jobs": [
      {
        "id": 93013,
        "title": "GTM Intern",
        "url": "https://www.ycombinator.com/companies/getasap/jobs/tCJkfEB-gtm-intern",
        "location": "Mountain View, CA, US / Remote (Atlanta, GA, US)",
        "type": "Internship",
        "role": "Marketing",
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        "salary_range": "",
        "equity_range": "",
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      {
        "id": 93257,
        "title": "GETASAP ASIA: 8 Hour Distribution for Retailers in Southeast Asia 🏪",
        "tagline": "We’re the Amazon for B2B, supplying corner shops, restaurants, and supermarkets, ensuring shelves never go empty.",
        "body": "**Hey everyone** [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Raghav](https://www.linkedin.com/in/raghav-arora-516b1826b/) (17 y/o) and [Krishna](https://www.linkedin.com/in/pranavkrishnasuresh/) (19 y/o), the co-founders of [GETASAP ASIA](https://bookface.ycombinator.com/company/30598).\n\n### **TL;DR**\n\n**We are a tech-enabled distributor for retailers in Southeast Asia.** We use software to offer the lowest prices and 8 hour same day delivery to corner stores, restaurants and supermarkets.\n\n**Today** **we supply** 40,000 outlets including 18 supermarket chains and hundreds of corner stores and restaurants. We stock 20,000+ SKUs from 270+ brands and operate several fulfillment centers across SEA.\n\n**Ask:**\n\nCan you intro us to CPG brands that could benefit from exposure to SEA market?\n\nCan you intro us to retail chains that we could supply to?\n\nCan you intro us to US retail tech executives?\n\nhttps://youtu.be/dPhL1k2n1Y8\n\n# **❌ The Problem**\n\nLegacy distributors _don’t believe in tech_.\n\n• Systems don’t talk to each other, so information is stuck in separate tools.\n\n• Lead times are long and freight isn’t optimized.\n\n• Forecasting is guesswork, which causes stockouts during peak season and costs stores significant revenue.\n\n• Labor costs are high, much of the work is manual, and prices are managed by hand, so margins shrink.\n\n# [**👷**](https://emojipedia.org/construction-worker)**The Solution**\n\nGETASAP ASIA is a tech-enabled distributor for retailers in Southeast Asia, operating a network of optimized fulfillment centers that restock stores in under 8 hours at the lowest landed price.\n\nOur enterprise-grade demand intelligence powers our 8-hour fulfillment model and enables real time stock tracking, automated reordering for stores, and forecasting that positions inventory close to demand—so orders move from purchase to shelf within hours and stockouts approach zero.",
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        "created_at": "2025-08-22T03:54:59.748Z"
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    "id": 30602,
    "name": "Meteor Labs",
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    "all_locations": "San Francisco, CA, USA",
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    "one_liner": "We provide hedge funds with information they can trade on",
    "team_size": 2,
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    "url": "https://www.ycombinator.com/companies/meteor-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/meteor-labs.json",
    "year_founded": 2025,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/meteorlabsai",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 1531197,
        "full_name": "Pranav Madhukar",
        "title": "Founder/CEO",
        "founder_bio": "Finding valuable information from the public web at meteorlabs.ai. NSF-funded math at UChicago. FOIA nerd. Browser agent research.\n\nPrev CS @ UW where I built viral tools on campus and then raised $150k in university funding to encourage builders. ",
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        "linkedin_url": "https://www.linkedin.com/in/pranav-madhukar-pcm/",
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        "tagline": "A Browser that gets things done, on your behalf.",
        "body": "Hey everyone! 👋\n\nWe’re Pranav and Farhan – co-founders of Meteor Labs. And we’re on a mission to kill Google Chrome.\n\nMeteor is a browser that can do work on your behalf.\n\nDownload now: [www.browse.dev](http://www.browse.dev)\n\n# **The Problem**\n\nWe spend several hours each day on our browser doing boring, repetitive tasks. Sending out calendar invites, filling up repetitive forms, moving data from one website to another, creating spreadsheets etc.\n\n# **Introducing Meteor**\n\nMeteor is an agentic browser – our agents can perform tasks for you.\n\nManually setting up calendar invites? Just ask Meteor.\n\nSearching through dozens of websites to find the best price? Just ask Meteor.\n\nConfused how to configure your S3 Bucket? Just ask Meteor.\n\nMeteor is your very own personal assistant. Enhanced by your browser context.\n\n<https://youtu.be/tSWfNif7JGk>\n\n# **The Journey**\n\nPranav and Farhan met during orientation week at UW, and now we’re both dropped out of UW to build the future of browsing.\n\nA few weeks into our batch, we decided to fork Chromium (30M+ lines of code!) and rebuild our entire product from scratch. Simply compiling an instance of Chromium takes 8+ hours and over 200GB of disk space. 3 weeks later we are excited to launch our browser!\n\nPranav (CEO) previously built viral projects used by over thousands of students at the UW, and raised over $100k in university funding.\n\nFarhan (CTO) previously built an IDE for hardware design that compiles 60x faster than the industry standard.\n\n![uploaded image](/media/?type=post&id=92864&key=user_uploads/1531197/81663d2f-fdeb-4cfd-8e26-80f8c04013f8)\n\n",
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    "year_founded": 2025,
    "city": "New York City",
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        "full_name": "Anmol Tukrel",
        "title": "Founder/CEO",
        "founder_bio": "Anmol is the Co-Founder & CEO of Closera. \n\nHe studied CS at Stanford and was a PM at Google where he monetized Gemini, NotebookLM, and Flow. Previously, he was an APM on Gmail and Photos.\n\nIn high school, Anmol founded an app that had users in 120+ countries and was named one of TechCrunch's top AI stories of the year. He was also featured in a Google commercial alongside a Nobel prize winner, Turing award winner, and the Prime Minister of Canada. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anmoltukrel/",
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        "full_name": "Chinmay Patel",
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        "title": "Amid the AI boom, Princetonians swap school for Silicon Valley - The Princetonian",
        "url": "https://www.dailyprincetonian.com/article/2026/04/princeton-features-profiles-dropout-school-startups-silicon-valley-ai-boom",
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        "body": "**TL;DR**\\\nAcrely is building the Voice AI Customer Service Rep (CSR) for Home Services that books jobs, dispatches contractors, and ensures a smooth customer experience. \n\nhttps://www.youtube.com/watch?v=g_VG5mD-K7k\n\n**The Problem**\\\nIn home services like HVAC, plumbing and electrical, every job starts with an urgent phone call because something broke. Customers expect enthusiasm and compassion, yet every business relies on a team of overworked CSRs. Calls slip to voicemail, jobs fall through the cracks, and constant churn in the office means no one really owns the customer experience. \\\n\\\nOutdated phone trees frustrate callers, slow down bookings, and make growth expensive. \\\n\\\n**Contractors lose thousands each month in missed revenue while their customers get service that feels decades behind.**\n\n**The Solution**\\\nAcrely provides an AI Customer Service Representative. It greets customers naturally, books jobs, dispatches techs, handles follow-up, and never misses a call. It’s not just voice AI - it integrates directly with ServiceTitan and other CRMs so jobs are booked, not just recorded. By replacing missed calls and inconsistent service with always-on, reliable customer care, contractors book more jobs, keep customers happier, and scale without adding headcount. We were originally building voice AI scheduling for real estate agents but home services businesses came inbound to us asking to use it.\n\n**In just 2 weeks, we pivoted and landed 6 customers.**\n\n**About Us**\\\nDerek and Alek are childhood friends from Pittsburgh who both went on to study Computer Science at Carnegie Mellon University. Alek was the founding engineer of Caseflood (YC W25), a vertical AI Agent for Law Firms, and Derek previously built communication software for lunar rovers and developed RL controls algorithms for self-driving racecars. \n\n**The Ask**\n\nIf you know home service business owners in HVAC, plumbing, electrical, or similar trades, we’d love an introduction. \\\n\\\nFeel free to reach out: founders@acrely.ai",
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        "title": "The Prompting Company snags $6.5M to help products get mentioned in ChatGPT and other AI apps | TechCrunch",
        "url": "https://techcrunch.com/2025/10/30/the-prompting-company-snags-6-5m-to-help-products-get-mentioned-in-chatgpt-and-other-ai-apps/",
        "date": "Oct 30, 2025"
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      {
        "title": "The Most Promising Startups To Watch From YC Summer 2025 Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/09/04/the-most-promising-startups-to-watch-from-yc-summer-2025-batch/",
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        "tagline": "Not just analytics - The Prompting Company helps your products get mentioned in AI answers",
        "body": "YC, WE’RE BACK!\n\nWe’re Kevin, Albert, and Michelle from W20, back in S25 building The Prompting Company: we help products get mentioned in ChatGPT.\n\n[**https://youtu.be/xZgytNL1FTs?si=IwuGoy0JOs9dRS9**\\_](https://youtu.be/xZgytNL1FTs?si=IwuGoy0JOs9dRS9_)\n\n**The problem:**\n\nPeople are no longer searching on Google. They’re ASKING AI. If your product doesn’t appear in AI answers, you’re dead.\n\n**How it works:**\n\n1. Find & analyze user questions: We find the exact questions your users ask and check how often your product is mentioned.\n2. Create content: We tell you what to post, where to post, and do it for you.\n3. Route to AI-optimized page: We redirect AI traffic to AI-optimized page\n\n**The team:**\n\nBefore starting The Prompting Company, Kevin, Albert, and Michelle co-founded Typedream (YC W20), an AI website builder acquired by beehiiv, and previously built Cotter, a passwordless authentication SDK acquired by Stytch.\n\n**Offer:** Get your free AI visibility report → [**promptingcompany.com**](http://promptingcompany.com)\n\n![uploaded image](/media/?type=post&id=93268&key=user_uploads/379052/627d5d4b-ce30-4be6-ad03-abae39f73450)\n\n",
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        "created_at": "2025-08-22T16:04:19.446Z"
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        "body": "We’re Ankith and Ananth, brothers and co-founders of MangoDesk.\n\nWe help AI teams accelerate the creation of custom evals and post-training data by generating bespoke annotation pipelines in seconds. Bring your own annotators or leverage MangoDesk’s expert pool of annotators with the click of a button.  \n\n**Demo:** https://www.youtube.com/watch?v=87orKYBru9A\n\n**Problem:** If you’re looking to create custom evals or post-training data, you have two options -\n\n1. Managing the whole effort in-house, which takes weeks building custom interfaces, writing instructions, sourcing/managing annotators, and wiring review/QA—slowing launches and hurting data quality.\n2. Working with a big box data labelling company, which comes with expensive back and forth, long turnaround times, and a lack of transparency and control.\n\nWe think creating evals and post-training data should be as simple as describing what you’re looking for in natural language, and that’s why we built MangoDesk.\n\nIf you’re creating evals, training your own models or running data annotation ops and would like to accelerate your efforts, get in touch!\n\nEmail: [founders@mangodesk.com](mailto:founders@mangodesk.com)\n\nBook a demo: https://calendly.com/mangodesk/30min\n\n**How MangoDesk works.**\n\n* Describe your custom eval or data needs in natural language; MangoDesk auto‑generates the annotation pipeline - not just the interface, but also all the little details like annotator instructions and QA systems to ensure your data is of high quality. Make updates via natural language.\n* Bring your own annotators or leverage our vetted pool of experts, with one click. We ensure that annotators are set up to be productive and do their best work\n* Download your dataset when it’s ready, and rest easy in the meantime\n\n**About Us:** Ankith (CEO; ex‑Scale AI) built GenAI data labeling infrastructure at Scale AI. Ananth (CTO; ex‑Founder 7‑figure ARR) built AI systems for Fortune 500s.",
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      {
        "id": 91428,
        "title": "Halluminate: Data and sandboxes to train computer use AI 🖥️",
        "tagline": "We help labs and enterprises train frontier computer/browser use agents",
        "body": "# **Tldr**\n\nAI workers must learn how to use our computers, browsers, and software interfaces to deliver real-world value. Today, computer use agents are unreliable and inaccurate. Halluminate is building realistic sandboxes and datasets to train better computer/browser use AI. \n\n# **Ask**\n\nLooking to chat with researchers or founders training computer/browser use agents! \n\n# **❌ Problem**\n\nOpenAI’s Operator and Claude’s Computer Use give us a glimpse into the future where AI can take control of digital interfaces and do real work. \n\nPerformance today is inaccurate/unreliable. There are two bottlenecks to performance improvements.\n\n**First, reliance on real-world testing:** researchers today train/test their browser- and computer-use agents on real-world sites. This is\n\n* **Unsafe** - agent actions have real consequences and data impact\n* **Slow** - challenging to parallelize\n* **Difficult to reproduce** - the real world is dynamic; the starting conditions cannot be “reset” easily, and data changes\n* **Lots of noise -** proxy, captcha, auth/login, ads, etc,. make it difficult to do clean testing/training\n\n**Second, lack of high-quality data:** High-quality data provides the basis for evaluations and benchmarking. Producing this at scale is expensive, time-consuming, and logistically exhausting. \n\n# **💡 Our Solution**\n\n[Launch YC - Halluminate](https://www.loom.com/share/9085ae5542b54fa491c9a59115f1885b)\n\nAt Halluminate, we’re building a suite of products and services to address both these issues. \n\n* **Realistic sandboxes** – Fully managed, parallelizable environments modeled after popular systems (e.g., Salesforce, Slack, Ticketing Software, websites) for safe and accurate computer/browser use training and testing.\n* **Datasets** – proprietary benchmarks and datasets\n* **Evaluations -** high-quality error analysis powered by expert annotators to identify and prioritize the biggest failure modes for our customers\n\nOur customers see\n\n* Improved browser- and computer-use agent performance\n* New and emergent frontier agent capabilities\n* Data-driven prioritization leading to exponentially faster development speed\n* Increased revenue/sales via marketing from public benchmarks\n\n# **🌐 Our Mission**\n\nUnlock significant advancements in browser and computer use AI capabilities. We believe this is necessary to usher in a new generation of use cases, startups, and productive AI workers. \n\n# **📜 Backstory**\n\nWyatt and I met while studying CS at Cornell and have been living and working together for over 7 years.\n\nI previously led product/research at Capital One Labs, where I launched one of the first AI agents in banking. Wyatt previously was a Cornell Milstein scholar and did large-scale data engineering for 2 early-stage startups in NYC. \n\nWe faced these problems first-hand while building evals for browser/computer use agent companies. We didn’t see any good solutions, so we’re building one ourselves. \n\nWe’re in SF for the foreseeable future. Contact us if you wanna grab a coffee, go for a walk, or play pick-up basketball! \n\nEmails: [jerry@halluminate.ai](mailto:jerry@halluminate.ai), [wyatt@halluminate.ai](mailto:wyatt@halluminate.ai)\n\n# **🙏 Our Asks**\n\n* Follow us on socials (Jerry: [LinkedIn](https://www.linkedin.com/in/jerry-wu-7814b0100/), [Twitter](https://x.com/Jerr_Wu) Wyatt: [LinkedIn](https://www.linkedin.com/in/wyatt-marshall-a40797198/), [Twitter](https://x.com/wgm752))\n* Introductions to researchers and founders building computer/browser use agents\n* Introductions to experts in RL & post-training \n* Introductions to companies that sell training data to large labs\n\n![uploaded image](/media/?type=post&id=91428&key=user_uploads/993166/2e84352c-3f24-4830-91f4-adcfcae5ef61)\n\n",
        "url": "https://www.ycombinator.com/launches/Nme-halluminate-data-and-sandboxes-to-train-computer-use-ai",
        "votes": 42,
        "created_at": "2025-06-18T23:07:42.736Z"
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        "url": "https://www.ycombinator.com/companies/agentmail/jobs/BrmNn3p-developer-support-engineer",
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        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/uBDHJL8-founding-product-engineer",
        "location": "San Francisco, CA, US",
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        "title": "AgentMail raises $6M to build an email service for AI agents | TechCrunch",
        "url": "https://techcrunch.com/2026/03/10/agentmail-raises-6m-to-build-an-email-service-for-ai-agents/?utm_source=dlvr.it&utm_medium=twitter",
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        "title": "AgentMail - The API-first email provider for AI agents",
        "tagline": "Give AI agents their own email inboxes",
        "body": "# TLDR\n\nAgentMail is the first email provider for AI agents. Use our API to give your agents their own email inboxes.\n\n# Why?\n\nWe started building email agents because they can live within users’s inboxes in their inboxes and authenticate themselves with third-party applications. But building on top of legacy providers such as Gmail is a struggle. They\n\n* Lack API support for creating new inboxes\n* Charge monthly subscriptions per inbox\n* Impose restrictive rate and sending limits\n* Offer poor developer experience\n\nThese providers don’t scale with both inbox creation or volumes of emails sent/received that AI agents often face, so we’re rebuilding email infrastructure from scratch to enable this.\n\n# Solution\n\nAgentMail is an API-first email provider that gives agents their own inboxes to send, receive, and act upon emails. Think of it like Gmail, but with\n\n 1. Programmatic inbox creation and management\n 2. Usage-based pricing scaling with emails sent/received\n 3. No restrictive rate/sending limits\n 4. Real-time events over webhooks and websockets\n 5. Simple API key auth – no OAuth headaches\n 6. Built-in API permissions and agent guardrails\n 7. Semantic search across every inbox in organization\n 8. Automatic labeling with user-defined prompts\n 9. Structured data extraction\n10. And more on the way!\n\n# Demo\n\nIn this demo, we show how easy it is to build an email agent with AgentMail: https://youtu.be/1V7BISeFUTM\n\nIn this demo, we show an example of a voice + email agent built with AgentMail: [https://youtu.be/eG2fCsRK4RY](https://youtu.be/eG2fCsRK4RY?feature=shared)\n\n# Ask\n\nIf you are building agents that could use email capabilities, we would love to learn more about your company. You can reach us at [founders@agentmail.cc](mailto:founders@agentmail.cc)\n\nhttps://agentmail.to",
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        "full_name": "Alex Mac",
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        "title": "truthsystems: AI Governance Agent for Regulated Industries",
        "tagline": "Building the Chief Compliance Officer at every single AI Interactions",
        "body": "![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdVRq9G6zxM14SvFxiMBUF0pK8ArLuZpJJePm0rkpzFPHtEaCYoGI4uz_9DnEJ7YYY4QM5FsGVm5DOO3Ja05maM1DW0_2TQHPom4vPTWbbpDuMg3qZNbtmYD9hOeyZZnu8OFh2muQ?key=RHZIlJDEf1i3HROkoIzKug)\n\n## **💬 TL;DR: GenAI introduces compliance & governance nightmares to all firms in regulated industries. We solve this by building an AI governance agent that monitors AI use and flags potential policy violations to end users.**\n\n## **💬 The Problem**\n\nLaw firms, banks, and other firms in regulated industries want to use more AI, but doing so without robust governance tools risks compliance breaches and client trust loss.\n\nThe problem is most acute in law firms, which we observed firsthand as AI researchers at Stanford Law School. **It stems from three primary challenges:**\n\n* **Unmanaged Liability:** There is no room for mistakes at law firms. Simple actions, such as uploading confidential files to AI tools or relying on AI-generated citations, can result in millions of dollars' worth of breaches and, more importantly, erode client trust.\n* **No Operational Control:** Firms can't see or control how employees use different AI tools, and they have no way to enforce the policies they write. \n* **Conflicting Client Mandates:** One client may require prior written approval for all AI tools, another might forbid their data on a specific matter from leaving the country, and a third bans AI entirely. Manually enforcing these unique rules for every client and their respective matter is impossible.\n\n**The result:** Firms hesitate to fully embrace AI, fearing reputational damage and costly mistakes; many ban AI or have already paid millions for errors discovered too late.\n\n**🏆 The Solution**\n\nTruth Systems provides firms with a compliance AI agent that reads firm policies and client guidelines, then converts them into dynamic guardrails that can be enforced on top of all AI usage\n\nHere’s an example of how it works:\n\n[Truth Systems - August 2025 Demo](https://www.loom.com/share/7cb045b4d9134727936f25dec2083c0f)\n\n## **🖖 Why We Build Truth Systems**\n\nWe are a team of AI nerds, researchers, and product builders who believe that responsible deployment of technology is the key to unlocking meaningful innovation in regulated industries.\n\nOur co-founders, [Alex Mac](mailto:alex@truthsystems.ai) and [Nam Nguyen](mailto:nam.nguyen@truthsystems.ai), were childhood best friends and AI researchers at Stanford Law under Dr. Megan Ma, collaborating with top law firms to address their concerns about this technology. Our founding engineer, Mikolaj Bochenski, was the 2nd hire at Legora, one of the largest Legal AI companies in the world, and understands intrinsically how legal AI is built and deployed. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdbC9GGtu-LK9MRGBCZ221JfsrfUvbLH0mwzGkSbLxxc6uVoBNvQrpedx3mIwvKClEP_K388qiV0_BoOYrYv29ysqqYI375twgSmROoTYp5Dd36Q33W5Fl0wQkgge5OTfn3TihV0g?key=RHZIlJDEf1i3HROkoIzKug)\n\nWe’re already working with two law firms with $2 billion in revenue combined, and helping nearly 1,500 attorneys use generative AI safely and responsibly. \n\n## **📈 The Opportunity**\n\nOur vision is to continue being the leading software that governs all AI use in regulated industries. Law firms are only the first steps for us. They are trusted advisors on governance and an important customer that helps us expand into other regulated industries. We envision a future where every knowledge professional can confidently and safely adopt the latest AI capabilities.\n\n## **⭐ Our Ask**\n\nWe are live and are onboarding law firms daily. If you know any:\n\n* Lawyers, Innovation folks, or Governance/ Info Sec Teams at Big Law, we should talk to\n* Front-end Devs who are passionate about cracking the hardest security problems in regulated industries\n\n \n\nPlease drop us a note at [nam.nguyen@truthsystems.ai](mailto:nam.nguyen@truthsystems.ai)\n\nMany thanks for your support! ❤️",
        "url": "https://www.ycombinator.com/launches/OA2-truthsystems-ai-governance-agent-for-regulated-industries",
        "votes": 39,
        "created_at": "2025-08-10T20:27:26.507Z"
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    "industry": "B2B",
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        "full_name": "Pratham Bansal",
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        "founder_bio": "Pratham studied engineering at IIT Delhi, where he contributed to ML research at Caltech and Rice. He then deployed AI systems for F500 enterprises at Booz & Co\n\nHe then built a 10x faster (than SOTA) inference application for compute-heavy ML models, that was sold to an NVIDIA-backed Bay Area company. \n\nAt IIT, he also led Rendezvous, Asia’s largest cultural festival, drawing 150,000 attendees with sponsors including Coca Cola, Binance, and the NBA.",
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      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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        "user_id": 1091495,
        "full_name": "Paul Bae",
        "title": "Founder/CEO",
        "founder_bio": "did a few things early in life (went to college at 12) and now hoping to do the exact same thing for the rest of it: building.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/baepaul",
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        "full_name": "Mikkel Kim",
        "title": "Founder/CTO",
        "founder_bio": "Always be building.",
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        "linkedin_url": "https://www.linkedin.com/in/mikkel-kim-488b88b3",
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    "website": "https://video.golpoai.com/",
    "all_locations": "Stockton, CA, USA",
    "long_description": "Golpo AI is the world's best platform to create fully produced whiteboard explainer videos from just a prompt or document. Instead of hiring an agency, you simply input a prompt or document explaining what you want, and in minutes you get a whiteboard explainer video in a style similar to Khan Academy or RSA Animate. After creation, you have the ability to edit all aspects of the video with just prompts. \r\n\r\nIt's perfect for training, faceless YouTube, marketing, technical, and educational videos — any video where understanding is important. Trusted by over 170,000 users as of July '26, Golpo features include but are not limited to: \r\n\r\n1) Convert your narration into an explainer video (with your narration as audio and the video time aligned) \r\n2) Input your document or prompt. Document can be of virtually any format or type (text, audio, video etc.) \r\n3) Script-to-video with matching audio\r\n4) Videos up to 10 minutes\r\n5) 50+ languages\r\n6) dead-simple editing after generation\r\n7) Insert your own videos and images into the generation, used as-is without alteration.\r\n8) 10+ visuals styles, including pen in hand, voice cloning, vertical video, custom branding and more! API access available. \r\n",
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    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1753141974,
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    "year_founded": 2024,
    "city": "Stockton",
    "country": "US",
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      "url": "https://www.ycombinator.com/people/ankit-gupta"
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        "full_name": "Shreyas Kar",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder @ Golpo (YC S25) | Stanford CS",
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        "linkedin_url": "https://www.linkedin.com/in/shreyas-kar/",
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        "full_name": "Shraman Kar",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder @ Golpo (YC S25) | Stanford CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shraman-kar/",
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        "url": "https://www.businessinsider.com/golpo-brothers-quit-stanford-raised-4m-ai-startup-y-combinator-2025-10",
        "date": "Oct 16, 2025"
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        "title": "Golpo: Create Whiteboard Explainer Videos with AI from a Prompt or Document",
        "tagline": "With Golpo, you can make high-quality explainer videos from your documents in minutes",
        "body": "# TL;DR\n\nHi, we're Shraman and Shreyas Kar, brothers and founders of Golpo AI: the most powerful AI whiteboard explainer video generator. Golpo is the world's best platform to create fully produced whiteboard explainer videos from just a prompt or document.\n\nInstead of hiring an agency, you simply input a prompt or document explaining what you want, and in minutes you get a whiteboard explainer video in a style similar to Khan Academy or RSA Animate — in 50+ languages.\n\nAfter creation, you can edit all aspects of the video with just prompts. Perfect for training, faceless YouTube, marketing, technical, and educational videos — any video where understanding is important.\n\nAsk: Create your first video for free:[ ](https://video.golpoai.com)[video.golpoai.com](http://video.golpoai.com)\n\n# The Problem\n\nIf you want a whiteboard explainer video today, you either hire an agency for thousands of dollars and wait weeks, learn professional video editing software which takes months to get good at and still requires a ton of time per video, or use a DIY whiteboard animation tool where you'll spend hours dragging elements around and the result still looks amateur.\n\n# Our Solution:\n\nPut in a prompt or document, get a professional fully produced whiteboard explainer video in minutes. After generation, you can edit all aspects of the video with just prompts. Videos can be anywhere from 15 seconds to 30 minutes (via API).\n\nWith our proprietary video generation engine, Golpo produces videos that feel authentic and engaging in a way no other AI video generator does.\n\nCreate your first video free and look at other videos created with Golpo at [video.golpoai.com](http://video.golpoai.com)\n\n# The Team\n\nWe are both brothers and **Stanford CS students** and have been building together our entire lives. \n\nShreyas Kar (CEO):\n\n* Researcher at Stanford’s Vision & Learning Lab under Dr. Fei-Fei Li\n* Co-Founder of the Stanford AI Club\n* USA Math Olympiad qualifier, RSI scholar, and ISEF Grand Prize winner\n\nShraman Kar (CTO):\n\n* International AI Olympiad bronze medalist (Team USA)\n* Research at Stanford Translational AI Lab (on foundational AI Vision models) and with Harvard Medical School Portal Group\n* Co-founder of Community AI (active in 38 countries and all U.S. states) with Shreyas\n\n# Our Ask:\n\n* Create your first video free at [video.golpoai.com](http://video.golpoai.com) \n* Book a Demo: <https://www.golpoai.com/calendar>\n* If you liked our product, tell your friends about it\n* Follow us on [LinkedIn](https://www.linkedin.com/company/golpo-ai/) and [Twitter](https://x.com/GolpoAI)",
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    "url": "https://www.ycombinator.com/companies/liva-ai",
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    "country": "US",
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        "user_id": 2218085,
        "full_name": "Ashley Mo",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO | prev. Caltech CS | Published research on an AI model that could detect lung disease through cough recordings at 17 y/o (IEEE Xplore) and led large-scale research study to collect health audio data @MIT | Built biosensors for chronic kidney disease @Caltech",
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        "linkedin_url": "https://www.linkedin.com/in/ashley-mo/",
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        "user_id": 1393905,
        "full_name": "Aoi Otani",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aoi-otani-ab3a1b205",
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        "id": 92886,
        "title": "Liva AI – Real Voice & Video Data for AI",
        "tagline": "We provide real voice and video data for developing realistic AI.",
        "body": "**TL;DR:** We provide high-quality human voice and video datasets for companies building realistic AI models. Real data sourced in-house across diverse languages, emotions, and contexts.\n\n**Ask:** [Talk to us](https://calendly.com/ashleymo-theliva/30min) if you're a researcher or founder building voice/video generation models. We can help you.\n\nhttps://youtu.be/PwjTSZRC8XE\n\n**The Problem:**\\\nCompanies building voice and video AI models need quality training data to reach human-like performance for models. Scraping has limits and existing datasets lack diversity across accents, emotions, and languages. As AI moves toward human-like interactions like customer conversations, therapy sessions, classroom teaching, or entertainment, models need authentic human expressions that the internet can't supply.\n\n**Our Solution:**\\\nLiva collects real, consented human voice and video entirely in-house—no synthetic data or third-party purchases. All content is authentic and rights-cleared.  We’re already delivering our voice dataset to a lab training expressive foundation models for voice.\n\nWe capture diverse accents, emotional range, and varied contexts (sales calls, multi-channel dialogues, expressive monologues, casual conversations, job interviews, and more) with high production quality through crowdsourcing and strategic partnerships.\n\n**The Team:**\n\nWe’ve worked on many research projects together since we met 3 years ago.\n\n* **Ashley:** Caltech CS dropout. Built an AI model to detect lung disease from cough recordings (@ MIT) and led large-scale data collection initiatives. \n* **Aoi:** Prev. Harvard Bio/CS. Did ML research in representation learning and image diffusion models. 5+ Publications in ICML, Nature, etc.\n\n**Our Ask:**\n\nIntroductions to:\n\n* AI labs building or fine-tuning voice, video, and multimodal generation models\n* Companies using or integrating voice/video models\n* Film, audio, and content production companies\n* Researchers working on audio, video, and multimodal generative models\n\nContact us: [founders@theliva.ai](mailto:founders@theliva.ai)",
        "url": "https://www.ycombinator.com/launches/OAA-liva-ai-real-voice-video-data-for-ai",
        "votes": 50,
        "created_at": "2025-08-12T03:48:13.634Z"
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    "name": "LLM Stats",
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        "title": "ZeroEval - Build self-improving agents",
        "tagline": "A tool to evaluate and optimize AI agents using human feedback.",
        "body": "![uploaded image](/media/?type=post&id=93136&key=user_uploads/208921/328fd273-24d5-4307-9322-075a26467fe9)\n\nHey everyone, we're Sebastian and Jonathan - founders of ZeroEval.\n\n### **TL;DR**\n\nZeroEval is a tool that helps you build reliable AI agents through evaluations that learn from their mistakes and get better over time.\n\nhttps://www.youtube.com/watch?v=hSkpdHE7mCs\n\n### **The problem**\n\nEvaluating complex AI systems is hard and time consuming. The more complex your agents get, the harder this issue becomes. This is especially the case when building:\n\n1. Long-running, multi-turn agents with dozens of intermediate tool calls \n2. Agents where you want to measure the quality of images, video, generated UI, audio, personality, taste, etc\n\n**Current offline eval methods are high-friction**, a lot of work is needed to continuously curate labeled data and write experiments and evaluators. \n\nOn the other hand, **current LLM judges are static and often have terrible performance**, they lack context on how they fail and the nuances of the task at hand. \n\nYour AI agents are as good as your evals. Without them, surpassing the quality threshold your product needs will feel like a never-ending task.\n\n### **What we’re building**\n\nA way to create **calibrated LLM judges** that get better over time the more production data they see and the more incorrect samples are labeled. The more you teach it on where it's failing, the more reliable it becomes.\n\nOnce you have a judge that matches the human preference baseline, you can continue using it on production data or in offline experiments.\n\n![uploaded image](/media/?type=post&id=93136&key=user_uploads/208921/f815b7cf-a84e-4285-974d-1ffc943889ad)\n\nWe’re also introducing **Autotune**, a way to do automatic evaluation on dozens of models and prompt optimization based on a few human samples.\n\n![uploaded image](/media/?type=post&id=93136&key=user_uploads/208921/954461b0-5b4a-42b9-b464-0a698c3f6fd0)\n\nWe envision a future where AI software improves based on human feedback, where developers define the evaluation criteria as a starting point and errors back propagate to find the optimal implementation.\n\n### **The team**\n\nWe met during their first year of college in Mexico over 7 years ago. During that time they worked on side projects together, joined a leading fintech startup as first engineers and most recently built [llm-stats.com](http://llm-stats.com), a leading LLM leaderboard website that reached 60k MAU and  ⅓  million unique users since its launch a few months ago.\n\n* **Sebastian** was founding engineer at Micro building the future of email (backed by a16z), as well as founding engineer at Atrato (YC W21).\n* **Jonathan** was an early employee on the LLM observability team at Datadog. He did undergrad research on vision transformers for particle physics and RL for robotics.\n\nFoundational models have transformed the world. We’re building the second line of offense to fill their capability gaps and create AI products that actually work. We are determined to build the engine behind self-improving software for the following decades. \n\n![uploaded image](/media/?type=post&id=93136&key=user_uploads/208921/b912b213-762c-42ba-8fe5-dd39de8dd748)\n\n### **Our ask**\n\nIf you have AI agents in production and are struggling to measure their quality and/or achieve the reliability needed for your product's success, we’d love to chat!\n\nWe don't just deliver a tool, but will sit with you to understand your pain points and help you build high quality evals.\n\nFeel free to reach out at [founders@zeroeval.com](mailto:founders@zeroeval.com) or [book a demo](https://cal.com/team/zeroeval/demo).",
        "url": "https://www.ycombinator.com/launches/OEC-zeroeval-build-self-improving-agents",
        "votes": 35,
        "created_at": "2025-08-19T15:36:48.670Z"
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    "website": "https://contextfort.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "ContextFort gives security teams visibility and controls for AI browser agents.\r\nIt’s a Chrome extension that:\r\nDetects when an AI agent takes control of the browser\r\nRecords every action during the session (pages visited, clicks, text entry) \r\nProvides controls to prevent risky actions and cross-site data leakage",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1753951898,
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        "full_name": "Ashwin Ramachandran",
        "title": "Founder/CEO",
        "founder_bio": "MS CS @ UC San Diego |  CS @ IIT Bombay\nAutomating drawing reviews for construction contractors",
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        "title": "ContextFort - Copilot for Construction Drawing Review",
        "tagline": "Automating Drawing Reviews for Construction Contractors",
        "body": "# **tl;dr**\n\nContextFort automatically finds missing dimensions and overlay mismatches across your architectural and structural drawings and drafts Requests For Information (RFIs). Watch our [demo](https://www.youtube.com/watch?v=2C4Gfe4UoJA) here.\n\n# **The Problem**\n\nContractors plan their construction using drawings prepared by the design team (Architects, Structural Engineers). But before building, they need to review them for errors and ask for clarification by submitting a **Request For Information (RFI)**.\n\nToday, this review is done by **manual pageturn and eyeballing overlays** which takes up **weeks**. And, this has to be done every time a modified version is released.\n\nIf an inconsistency goes unidentified or an RFI is not sent early, the project gets **delayed** or ends up needing **costly rework** with change-orders having uncertain payments.\n\n**The problem goes beyond this.** Corrections following these RFIs affect multiple trades but they are never notified; for example, a concrete contractor moving a column by 3 inches can affect HVAC and elevator contractors. This poor cross-trade visibility has been the cause for a majority of reworks.\n\n# **Our Solution**\n\nToday, ContextFort saves contractors **2-3 weeks/project** by using AI to:\n\n1. Identify missing and inconsistent dimensions across architectural and structural drawings\n2. Find overlay mismatches between different versions.\n3. Ensure RFIs being generated are not already in the construction documents.\n4. To draft an RFI following the format laid out in the spec sheets.\n\n![uploaded image](/media/?type=post&id=92604&key=user_uploads/1596702/7b5f2e9e-d0d6-4ad6-8bd2-2e09171ba7b6)\n\nOur vision is to turn every drawing set into a **living, shared model:**\n\n1. One that tests itself with rules that capture every trade clearances, codes, scheduling constraints and run automatically on every edit\n2. Only the teams affected by a change get pinged– no more hunting through 200 sheets to see what moved\n3. Each contractor views a filtered lens of the model that shows precisely what they must build and how other trades’ moves impact them\n\n**Our mission is to turn RFIs into a rare exception and have projects finish first-time-right.**\n\n# **Our Ask**\n\nWe would love for you to:\n\n1. Intro us to builders, general and sub contractors\n2. Email us with thoughts and ideas to [ashwin@contextfort.ai](mailto:ashwin@contextfort.ai)\n3. Upload your drawings at [contextfort.ai](http://contextfort.ai)",
        "url": "https://www.ycombinator.com/launches/O5c-contextfort-copilot-for-construction-drawing-review",
        "votes": 22,
        "created_at": "2025-08-03T19:18:44.328Z"
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    "long_description": "Datafruit helps enterprise delivery teams understand their customers deeply and deliver more profitably. We build AI agents capture every conversation, structure scope from day one, and use past projects to make every engagement sharper.",
    "one_liner": "The AI workspace for software implementations",
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1755048308,
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        "full_name": "Venkat Arun",
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        "founder_bio": "cofounder at datafruit; previously cs and statistics at uc berkeley; worked on cloud infrastructure and data pipelines at various early stage startups.",
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        "full_name": "Nick Papciak",
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        "full_name": "Nicole Ma",
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    "launched_at": 1755281037,
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 242901,
        "full_name": "Vijit Dhingra",
        "title": "Founder",
        "founder_bio": "Vijit is the co-founder of Lark. \n\nHe previously spent five years at a Stripe as a tech lead where he built their usage based billing product and other payments infrastructure. He also contributed to testing infra at Stripe to improve developer productivity and product reliability. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vijitdhingra/",
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      {
        "user_id": 923500,
        "full_name": "Jack Brown",
        "title": "Founder",
        "founder_bio": "Jack is the co-founder of Lark.\n\nPreviously, Jack built usage-based billing at Stripe to support the complex pricing models of the worlds biggest AI companies. Prior to his previous role, Jack led engineering teams at fast-growing startups, where he built developer tooling infrastructure to improve developer productivity.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jackcbrown/",
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      {
        "id": 95995,
        "title": "Lark: Stripe without the workarounds",
        "tagline": "Delete your billing code",
        "body": "**Problem** 🔴\n\nToo often, customers tell us they use Stripe for billing but when I ask how they manage their credits or track usage, I always hear the same answer: “we built it in-house”. These pricing models are not edge-cases. They’re the new normal in the age of AI.\n\n**Solution** ⚒️\n\n[uselark.ai](https://uselark.ai) is a modern billing platform with the flexibility to support any pricing model (credit-based, usage-based, hybrid, dimensional, token-based, etc…) at any scale (**10x more** than Stripe).\n\nWhether you’re building an AI powered API or a B2B SaaS product, Lark provides everything (including checkout + customer-facing portal) you need to implement complex billing logic without the hassle.\n\nA few nice things about us -\n\n* You don't have to manage any webhooks or store custom billing state (like stripe customer id) in your database\n* Our APIs are simple. You don't have to integrate with a separate checkout API. We also provide [frontend SDKs](https://docs.uselark.ai/guides/subscriptions/feature_access/) to check billing state (like remaining credits, feature access)\n* Seamless pricing changes that automatically apply to your customers without involving engineers\n* We also help you track margins & LLM costs per customer for AI applications\n\n📘 **Quickstart**: https://docs.uselark.ai/\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/df8c7258-bc58-4c50-99a2-79b06af9fd50)\n\n**Checkout + customer-facing portal included**\n\nNo separate APIs, state management, or webhooks\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/6adaf51f-5012-4edd-b7f8-773cf5688eff)\n\nCustomer-facing portal includes real-time usage and subscription management\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/062c65c1-3ddf-409b-bfad-aaf95f24c116)\n\n**Scalability**\n\nLark supports up to 1M events per second so you don’t have to worry about pre-aggregating your data.\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/79359907-1af9-4baa-a5c4-cac78402715e)\n\n**Team**\n\n[Vijit](https://www.linkedin.com/in/vijitdhingra/) and [Jack](https://www.linkedin.com/in/jackcbrown/) both previously built the [usage based billing](https://stripe.com/billing/usage-based-billing) and [customer portal](https://docs.stripe.com/customer-management) product at Stripe.",
        "url": "https://www.ycombinator.com/launches/OyJ-lark-stripe-without-the-workarounds",
        "votes": 25,
        "created_at": "2025-12-04T22:37:50.310Z"
      },
      {
        "id": 93109,
        "title": "Lark: AI Agents for Billing",
        "tagline": "We build AI agents to solve billing issues for subscription companies. ",
        "body": "**TL;DR** \n\nLark helps subscription companies automate customer billing support inquiries, manage chargebacks, and prevent fraud.\n\nhttps://youtu.be/gmg8HxjaS1Q\n\n**Problem**\n\nBilling your customers is hard.\n\nTeams spend tens of hours every week attending to billing support inquiries and customers often wait days to receive a response. You also have to worry about fraud and chargebacks.\n\nAll of this is distracting for your team and no one likes working on this. Ignoring the issue leads to frustrated customers, risk of being banned from your payment processor, and lost revenue.\n\n**Solution**\n\nLark provides AI agents that automate all of this for you.\n\nOur agents integrate with your billing provider, support system (e.g. zendesk), and data sources to gather context about the customer and take actions on your behalf. The agents’ decisions are evaluated against strong guardrails to ensure their actions are safe and follow your policies.\n\n**Team**\n\n[Vijit](https://www.linkedin.com/in/vijitdhingra/) and [Jack](https://www.linkedin.com/in/jackcbrown/) both previously built the usage based billing product and customer portal for a large billing provider. Jack has solved billing issues at several startups. \n\n**Our Ask**\n\nIf you’re tired of dealing with billing issues or know someone who is, we’d love to chat! We’re currently working with a few large consumer companies and are actively looking to onboard more customers. We’re also happy to chat about anything in the billing space!\n\n**Contact Info**\n\n[founders@uselark.io](mailto:founders@uselark.io)\n\n[Book time here](https://calendly.com/founders-uselark/lark-chat)",
        "url": "https://www.ycombinator.com/launches/ODl-lark-ai-agents-for-billing",
        "votes": 43,
        "created_at": "2025-08-18T19:33:29.250Z"
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    "id": 30634,
    "name": "Bitrig",
    "slug": "bitrig",
    "former_names": [
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      "BitRig",
      "bitrig"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d788bd53f3c4c9290a86f6020fb5c538f365fa00.png",
    "website": "https://bitrig.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Made by co-creators of SwiftUI, Bitrig is an AI development environment for Apple platforms. It works with real Xcode projects, features built-in simulators, and automates the App Store Connect busy work. You can add in-app purchase and publish to the App Store with just a prompt. Bring your own Claude or ChatGPT subscription.",
    "one_liner": "Build and ship native Swift apps with AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1755626076,
    "tags": [],
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/bitrig",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/bitrig.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bitrigapp",
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        "user_id": 547131,
        "full_name": "Kyle Macomber",
        "title": "Founder/CEO",
        "founder_bio": "Kyle is the co-founder and CEO of Bitrig.\n\nBefore Bitrig, Kyle spent over a decade at Apple where he co-created and led the development of SwiftUI. He also managed teams behind Swift Charts, WidgetKit, and the Swift Standard Library. Kyle holds a degree in Computer Science from Stanford University.",
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        "linkedin_url": "https://www.linkedin.com/in/kylemacomber",
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        "user_id": 378567,
        "full_name": "Tim Donnelly",
        "title": "Founder",
        "founder_bio": "Co-founder at Bitrig.\n\nPreviously SwiftUI at Apple, Square, co-founder at Storehouse (acquired by Square).\n\nBFA Design, University of Washington.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/timdonnelly",
        "x_url": "https://twitter.com/tdonnelly",
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      {
        "user_id": 831421,
        "full_name": "Jacob Xiao",
        "title": "Founder",
        "founder_bio": "Jacob is a co-founder of bitrig.\n\nBefore bitrig, Jacob spent 15 years at Apple, where he co-created and led the development of SwiftUI. He also contributed to Xcode and UIKit during his time there. Prior to Apple, Jacob built Opacity, a graphical design tool.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacob-xiao-3bb71329/",
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      {
        "id": 93186,
        "title": "Bitrig – Vibe code, test, and deploy Swift apps. All from your iPhone.",
        "tagline": "From the creators of SwiftUI",
        "body": "Hi! We’re [Kyle](https://www.linkedin.com/in/kylemacomber/), [Jacob](https://x.com/jacobx), and [Tim](https://www.linkedin.com/in/timdonnelly/), the co-founders of [Bitrig](https://www.bitrig.app).\n\nBitrig is the only vibe coder that writes native Swift, which is how the top mobile apps are coded. It’s like Lovable for iPhone apps.\n\n[Download](https://apps.apple.com/us/app/bitrig/id6747835910) on the App Store today!\n\nhttps://youtu.be/e-DqSVEI50w\n\nWe’re longtime Apple veterans:\n\n* Kyle and Jacob are co-creators of SwiftUI, the framework Apple says is the “the best way to build an app,” and led its development for the past 10 years.\n* Tim was a co-founder and designer of Storehouse, where he won an Apple Design Award and was later acquired by Square. At Apple he rewrote the fluid animation system that powers the experience of 1.5 billion iOS users worldwide.\n\n![uploaded image](/media/?type=post&id=93186&key=user_uploads/547131/634b45de-4ef4-471c-9437-e0dd42eb28d9)\n\nBitrig lets you build native apps for your phone, on your phone. Just by chatting with AI.\n\nIf you’re a designer or PM, Bitrig lets you use the same technology as the developers on your team. If you’re a student, Bitrig is the easiest possible way to get started with Swift.\n\nIt’s fast, it’s fun. You can make a change to your app anytime and anywhere inspiration strikes. And it’s as easy to share your creation as airdropping a photo.\n\nBitrig is a one-stop shop. Vibe code, test, and deploy Swift apps. No Xcode required.\n\n[Download](https://apps.apple.com/us/app/bitrig/id6747835910) on the App Store today!\n\n![uploaded image](/media/?type=post&id=93186&key=user_uploads/547131/6c49fb4f-5e57-4a04-b226-b57a869b9389)\n\n_Behind the scenes: To make Bitrig possible we wrote a custom Swift interpreter. Kind of a crazy thing to do. But the best mobile apps use the native SDK directly, and we wanted to make that level of quality as accessible as possible._",
        "url": "https://www.ycombinator.com/launches/OF0-bitrig-vibe-code-test-and-deploy-swift-apps-all-from-your-iphone",
        "votes": 35,
        "created_at": "2025-08-20T14:38:39.234Z"
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    "id": 30638,
    "name": "Lotas",
    "slug": "lotas",
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    "website": "https://www.lotas.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Quantitative trading",
    "one_liner": "AI for quantitative trading",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1754374450,
    "tags": [
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    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/lotas",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/lotas.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lotas/",
    "x_url": "https://x.com/lotas_ai",
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    "github_url": "https://github.com/lotas-ai",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 1845082,
        "full_name": "Jorge Guerra",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO Lotas — quantitative trading with AI\nHarvard '24",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jorge-o-guerra",
        "x_url": "https://x.com/jorgeguerrajr",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9188857caef45433587c3241d504b930d7b6921.jpg"
      },
      {
        "user_id": 1846075,
        "full_name": "William Nickols",
        "title": "Founder/CTO",
        "founder_bio": "Founder/CTO Lotas — quantitative trading with AI\nHarvard '24",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/willnickols/",
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    "launches": [
      {
        "id": 92746,
        "title": "Lotas — Cursor for Data Science",
        "tagline": "Building a secure, AI-native IDE for data scientists",
        "body": "Hey everyone! We’re Jorge and Will from Lotas. We’re building a secure, AI-native IDE for data science—and as a first step, we’ve built an AI coding assistant into RStudio (think Cursor for RStudio). We’re looking for RStudio users, data scientists, and students who want to code way faster and are excited to see AI integrated into data science workflows.\n\nhttps://www.youtube.com/watch?v=c47Ch1kB0eU\n\n❌ Problem\n\nRStudio is used by about 5 million data scientists and academics, but they currently lack a coding assistant within their IDE. Developers in other environments benefit from tools like Cursor and Windsurf, but R users don’t have an equivalent tool that’s truly integrated into their day-to-day workflow. And more broadly, data science teams need an AI-native environment that understands notebooks, dataframes, plots, and multi-language workflows—without forcing work into the cloud or tools they don’t use.\n\n✅ Solution\n\nWe’re building a secure, AI-native IDE for data science that is context-aware (files, variables, terminals), can read and write code, run analyses, and interpret textual or visual output across R and Python to start. While we build this IDE, we’ve shipped Rao: a fork of RStudio with an embedded AI assistant that is aware of the user’s local context (both files and variable environment), can read and write files, can run code or commands, and can interpret textual or visual output. It works with the file formats RStudio users already rely on (R, notebooks including RMDs and QMDs, Python, Stan, etc.), so you can iteratively perform entire data analyses inside your preferred IDE today—and help us design the next one.\n\n👨‍🎓 Who we are\n\nBoth of us were PhD students at Harvard. Jorge was in the biophysics program and Will was in the biostatistics program where most people used RStudio every day. We saw how integrated coding assistants were taking off in other IDEs, but RStudio integrations lagged behind. Many R users were copying and pasting code from ChatGPT to build their workflows, which was slow and fragile. Other AI data science tools are either (1) built on the web or in environments people don’t already use, (2) completely focused on Python notebooks, or (3) weak package-based assistants with limited functionality. We’re closing these gaps—first with Rao, and next with a purpose-built IDE for data science.\n\n🚀 Try Rao & get early access\n\nYou can download Rao, watch our demo, and work through example use cases. If you’re interested in a secure, AI-native IDE for data science, contact us for an early preview!\\\n\\\n✉️ **Contact**\\\nYou can reach us at [founders@lotas.ai](mailto:founders@lotas.ai) and follow us on [LinkedIn](https://www.linkedin.com/company/lotas/) and [X](https://x.com/lotas_ai).\n\n![uploaded image](/media/?type=post&id=92746&key=user_uploads/1845082/a6d066f2-358c-46b1-959e-6e2618b44df4)\n\n",
        "url": "https://www.ycombinator.com/launches/O7u-lotas-cursor-for-data-science",
        "votes": 14,
        "created_at": "2025-08-05T16:49:32.810Z"
      }
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    "id": 30639,
    "name": "Signals",
    "slug": "signals",
    "former_names": [
      "Material Model",
      "Return Signals"
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    "website": "https://www.returnsignals.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Signals is a new iMessage revenue channel for DTC ecommerce brands that gets customers to buy again. After a purchase, we open a real two-way conversation over iMessage, the channel customers actually read and reply to, and turn it into repeat revenue. In A/B tests, that drives ~$30 in average incremental repeat revenue per conversation. ",
    "one_liner": "iMessage revenue channel for DTC brands that brings customers back",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1771009461,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/signals",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/signals.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/return-signals/",
    "x_url": "https://x.com/returnsignalshq",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/return-signals",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 426067,
        "full_name": "Ilya Valmianski",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder Signals. 2x founder. Previously built AI patient intake at Kaiser Permanente, medical ChatGPT before ChatGPT at Curai Health, and co-founded MDandMe. Physics PhD.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ilya-x-valmianski/",
        "x_url": "https://x.com/valmianski",
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      },
      {
        "user_id": 2153216,
        "full_name": "Alejandro Zaniolo",
        "title": "Founder",
        "founder_bio": "Co-founder at Signals. I like building things from the ground up. Previously helped take two startups from 0 - 1: one was acquired by Blueground, and another grew 6x YoY to $40M ARR and became profitable by the time I left.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alejandrozaniolo/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8355f517f3763a38e860dccd66c5bca0264a9081.jpg"
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    "launches": [
      {
        "id": 98031,
        "title": "Return Signals - proactive high-touch support for e-commerce brands",
        "tagline": "AI-powered post-purchase messaging that reduces returns and increases repeat purchases for e-commerce brands.",
        "body": "Hey everyone 👋\\\n\\\nWe’re [Alejandro](https://www.linkedin.com/in/alejandrozaniolo/) and [Ilya](https://www.linkedin.com/in/ilya-x-valmianski/), cofounders at [Return Signals](https://www.returnsignals.com/?utm_source=ycombinator&utm_medium=launch&utm_campaign=yc_launch).\n\n<https://www.youtube.com/watch?v=vb90UYmDDEM>\\\n\\\nOver $1T in apparel, footwear, and accessories is sold online. $300B of that gets returned. We believe many of these returns are driven by a poor post-purchase customer experience.\n\nThis is why we are building an AI-powered luxury concierge that lets brands proactively check in with customers via SMS when their items are delivered.\n\nThis high-touch experience drives 5–10% absolute margin uplift while improving CSAT and LTV.\n\nWe intelligently recommend appropriate exchanges when customers are unsatisfied. Our texts achieve very high response rates (over 80% of eventual returns), and convert 70% of return intents into exchanges. All this without increasing the combined exchange and return rate.\n\nBecause exchanges preserve revenue, our customers retain most of the original sale value.\n\n![uploaded image](/media/?type=post&id=98031&key=user_uploads/426067/646f2437-889f-46f3-a6e4-ecb5a9eb058a)\n\nWe achieve over 95% positive sentiment in our interactions (and almost no negative interactions), with many customers spending multiple messages thanking our bot and developing a personal relationship 🙂\n\nOn the backend, we offer comprehensive analytics, including agentic search, which lets brands ask any question and have our AI read through thousands of conversations to find the right answer.\n\n![uploaded image](/media/?type=post&id=98031&key=user_uploads/426067/536a151f-92a8-4129-bd04-bdb5ed55c023)\n\n**Our backstory**\n\nAlejandro’s family ran two apparel brands in the US (200+ brick-and-mortar stores) that also sell online. Through this, we discovered two things:\n\n1. **The post-purchase customer experience is broken:** brands rarely check in proactively after delivery, which often leads to poor customer experiences, churn, or refunds. Most communication is limited to order tracking, upsells (“get 25% off”), or review requests. There is rarely a true high-touch experience.\n2. **Returns are a major pain point for e-commerce brands:** in the retail industry, returns are \\~25%, and reducing them directly impacts absolute margin. This is a significant problem for brands.\n\nIlya is a 2nd-time founder with deep expertise in building conversational systems, including leading the development of the largest US clinically deployed patient-facing chatbot. As somebody who buys almost all of his clothes online, he’s been flabbergasted by how bad the support experience has been, even with AI assistants like Amazon Rufus. There has to be a better way, and that’s why we decided to build Return Signals.\n\n**Our ask**\n\n* If you have contacts at e-commerce brands (e.g., Shopify merchants) with high return rates in categories such as apparel, footwear, accessories, etc., we would greatly appreciate an intro!\n* If you or someone you know has experience in retail e-commerce customer service or has felt the pain of high returns, we’d love to speak with them.\n\nReach out at [alejandro@returnsignals.com](mailto:alejandro@returnsignals.com) and  [ilya@returnsignals.com](mailto:ilya@returnsignals.com)!",
        "url": "https://www.ycombinator.com/launches/PV9-return-signals-proactive-high-touch-support-for-e-commerce-brands",
        "votes": 29,
        "created_at": "2026-02-23T08:27:32.210Z"
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    "id": 30640,
    "name": "Monarcha",
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    "website": "https://monarcha.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Monarcha is an AI-powered georeferencing platform built for mining, infrastructure, and land intelligence teams. It turns scanned maps, plats, and land documents into accurate, queryable spatial data in seconds.\r\n\r\nAligning historical maps, plats, and survey drawings to real-world coordinates is tedious work. Most teams either hire specialists or skip it entirely, leaving critical spatial data locked in documents.\r\n\r\nMonarcha lets users upload any document and get a fully georeferenced, queryable GIS layer in 90 seconds or less.\r\n\r\nWant to learn more? Check out monarcha.ai",
    "one_liner": "Turn maps into data",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1753222195,
    "tags": [
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    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/monarcha",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/monarcha.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/monarcha-ai/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "James Spokes",
        "title": "Founder/CEO",
        "founder_bio": "James is a Co-Founder of Monarcha. He holds a B.A. from the College of Arts & Sciences at Cornell University. Previously, he designed for Station-F backed startup Loop, and built a multi-agency alerts systems at Mark43. He also is an accomplished photographer, having published multiple books and won prizes at the International Photography Awards. ",
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      {
        "user_id": 1101642,
        "full_name": "Everett Lee",
        "title": "Founder/CTO",
        "founder_bio": "Everett is a Co-Founder of Monarcha.\n\nHe graduated early from Cornell Engineering with a degree in Computer Science and began a CS master's, before dropping out to build Monarcha. \n\nHe did research as part of Cornell's AI Innovation Lab and led Machine Learning Engineering at Cornell Data Science.\n\nPreviously, Everett worked as an AI Engineer building computer vision models at WEX and as a Data Scientist at Avalara.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/everett-lee-6540b41b3/",
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      {
        "id": 93099,
        "title": "Monarcha - The AI GIS Platform",
        "tagline": "We make geospatial analysis instant, no GIS analyst required.",
        "body": "Hey everyone 🗺️ 👋\n\nWe are James and Everett, and we’re excited to announce [Monarcha](https://www.ycombinator.com/companies/monarcha).\n\n**TL;DR:**\n\nWe are building the AI-native GIS platform. Monarcha automates the slow, fragmented workflows in mapping and spatial analysis:\n\n* Uploading and enriching datasets, done instantly\n* Running 50+ spatial tools, just by describing what you need\n* Producing styled maps, no SQL or Python required\n\n[https://www.youtube.com/watch?v=rXHBTKKXARY\\\\](https://www.youtube.com/watch?v=rXHBTKKXARY%5C)\n\n**Problem**\n\nGeospatial data is everywhere, but using it is deeply technical. Legacy tools like ESRI or QGIS require specialists with years of training, which makes even simple questions inaccessible to most teams.\\\n\\\n**Solution**\n\nMonarcha makes advanced spatial analysis simple and accessible. Anyone who needs maps can now run advanced geospatial analysis in seconds, no GIS expertise required.\n\n**How it works**\n\nUsers connect their data and manage all spatial workflows through a single conversational interface.\n\nThey can see the analysis steps, provide feedback, and watch the map update instantly. The agent also can also spot and fix missing data or edge cases.\n\nFor example, users might say:\n\n* _“Find all parcels zoned residential within 10 minutes of transit.”_\n* _“Overlay wildfire risk maps with proposed housing sites.”_\n* _“Score neighborhoods by access to schools, parks, and jobs.”_\n\nIt feels like having a full GIS team on demand, but faster, cheaper, and accessible to anyone.\n\n![uploaded image](/media/?type=post&id=93099&key=user_uploads/2309795/8a37dd91-a21c-4d7a-94fe-c53f01d6b646)\n\n\\\n\\\n**About Us**\n\nThe founders met at Cornell, where we led the university’s largest engineering and data science teams.\n\n* [James](https://www.linkedin.com/in/james-spokes/): Built a multi-agency alert system at Mark43. Designed at Station-F backed startup Loop. Led Cornell Digital Tech & Innovation.\n* [Everett](https://www.linkedin.com/in/everett-lee-6540b41b3/): Researcher at Cornell AI Innovation Lab. Led ML Engineering at Cornell Data Science. AI Engineer at WEX and Data Scientist at Avalara.\n\n![uploaded image](/media/?type=post&id=93099&key=user_uploads/2309795/44307b12-511b-4a7b-a237-22ad41653682)\n\nIf you know planners, developers, environmental teams or have worked with GIS check out [monarcha.ai](http://monarcha.ai) or reach out to us at [founders@monarcha.ai](https://mailto:founders@monarcha.ai).",
        "url": "https://www.ycombinator.com/launches/ODb-monarcha-the-ai-gis-platform",
        "votes": 20,
        "created_at": "2025-08-18T14:59:38.456Z"
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    "name": "Orange Slice",
    "slug": "orange-slice",
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    "website": "https://orangeslice.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Orange Slice is a spreadsheet where every column is TypeScript—and AI writes it for you. Describe what you want in chat (\"find the CEO's LinkedIn and get their email\"), and we generate the code, create the columns, and run it across thousands of rows. Our fully-typed SDK has 100+ enrichments built in: LinkedIn, contact info, company data, web scraping, AI research. Columns automatically execute in dependency order. No workflow builders—just describe it or code it.",
    "one_liner": "Agentic sales enrichment spreadsheet",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1751662616,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/orange-slice",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/orange-slice.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/orange-sliceai/",
    "x_url": "https://x.com/orangesliceai",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 1793084,
        "full_name": "Vihaar Nandigala",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO at OrangeSlice. Sold previous company at 19 and ex-J.P. Morgan ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vihaar-nandigala/",
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        "id": 85602,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/orange-slice/jobs/xQossob-founding-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 5.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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    "launches": [
      {
        "id": 97591,
        "title": "Orange Slice: Claude Code for GTM",
        "tagline": "AI agents, inside a spreadsheet, that help sales teams find companies that already want to buy.",
        "body": "We’re building AI agents, inside a spreadsheet, that help sales teams find companies that already want to buy.\\\n\\\nThe reality is most sales teams don’t struggle with effort - they struggle with timing.\\\nReps spend huge amounts of time working static lists and broad targeting, chasing leads that were never going to convert. That creates noise, low reply rates, and wasted cycles.\\\nTop companies like Ramp solve this with dedicated growth engineers building internal data workflows.\\\nWe’re making that same capability accessible to everyone else.\\\n\\\nAt its core, the challenge is simple: \\*\\*finding customers who already have the problem you solve.\\*\\*\\\nOrange Slice turns the spreadsheet into a system for discovering buying signals - agents research company sites, news, social signals, and niche sources like court records or building permits, then structure that information directly into columns teams can act on.\\\n\\\nNot “might be a fit.”\\\nBut “likely in-market.”\\\n\\\nSo instead of guessing who to target, teams build and refine living lists of high-intent accounts inside a sheet.\\\n\\\nStill early. Still learning.\\\nBut we’re excited to keep building.\\\n\\\nKishan and I met sophomore year on a Bollywood dance team at Michigan — and I couldn’t ask for a better co-founder.\\\n\\\n<https://youtu.be/le727v1A5l8>",
        "url": "https://www.ycombinator.com/launches/PO3-orange-slice-claude-code-for-gtm",
        "votes": 10,
        "created_at": "2026-02-06T18:14:19.276Z"
      },
      {
        "id": 92110,
        "title": "Orange Slice 🍊 - Prospects That Already Want to Buy",
        "tagline": "AI-agents that find you customers who already want to buy",
        "body": "We’re Kishan and Vihaar! We’re the founders of Orange Slice, where we find you customers who already want to buy!\\\n**\\\nTL;DR — AI agents that search the entire web for signals / firmographic data that suggests a customer wants your exact product**\n\n[**https://www.youtube.com/watch?v=oSqFhoO4bHs**](https://www.youtube.com/watch?v=oSqFhoO4bHs%5C)\n\n# ❌ The problem:\n\nSales teams waste time and money reaching out to people who aren’t good fits for their product. How often do you receive a cold email about something you don’t care about at all?\n\n# 🚀 Our solution:\n\nWe built custom scraping and crawling infra that finds high-intent prospects by **scanning online data sources such as company websites, news articles, job postings, and social media**. We specialize in industry-specific data sources - think court dockets for legal tech, building permits for proptech, or freight brokerage listings for logistics.\\\n\\\nThink about it like assigning a **“score”** to all potential prospects so you spend time focusing on ones that **are already likely to buy**.\n\n# Why\n\nPreviously, **Kishan** ran a growth experiment at **Ramp** where he noticed that growth doesn’t come from gimmicky emails, but from finding the right customers at the right time. **Vihaar**, who sold his first restaurant tech startup at 19, learned the same lesson the hard way: the biggest lever in sales isn’t what you say - it’s who you say it to.\n\n![uploaded image](/media/?type=post&id=92110&key=user_uploads/1452620/5421cde8-fb83-4de7-aec5-63d956975213)\n\n# **🙏 Our Ask:**\n\n* Do you know any businesses with lots of sales reps that do lots of manual research?\n* If you refer us to someone who signs with us, we will send you $500/month as long as they stay with us.\n\n👉 Contact us at [vihaar@orangeslice.ai](https://mailto:vihaar@orangeslice.ai)",
        "url": "https://www.ycombinator.com/launches/Nxe-orange-slice-prospects-that-already-want-to-buy",
        "votes": 39,
        "created_at": "2025-07-14T16:08:25.761Z"
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    "id": 30643,
    "name": "Nuntius",
    "slug": "nuntius",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/419ca938d39201c4fff4ef02cd003dd413be8954.png",
    "website": "https://www.nuntius.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Applying artificial intelligence to economically productive use-cases requires bulletproof alignment. We’re solving that.",
    "one_liner": "Making Models Follow Rules.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1754692935,
    "tags": [
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      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Inactive",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/nuntius",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/nuntius.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/106397474",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "id": 30644,
    "name": "Wafer",
    "slug": "wafer",
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    "website": "https://www.wafer.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Wafer builds AI agents that work as autonomous performance engineers, optimizing GPU kernels for AI inference. \r\n\r\nOur product is serverless and dedicated inference for the world’s fastest open source LLMs, achieved by Wafer's autonomous performance engineers. ",
    "one_liner": "AI that makes AI fast",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "tags": [
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      {
        "user_id": 1616952,
        "full_name": "Emilio Andere",
        "title": "Founder/CEO",
        "founder_bio": "prev @ argonne, uchicago sand lab, elicit. math at uchicago.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/emi-andere",
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        "full_name": "Steven Arellano",
        "title": "Cofounder",
        "founder_bio": "prev @ two sigma, google, sei labs, and axlab. cs + econ at uchicago.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stevenjarellano/",
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        "title": "Building AI That Optimizes AI - YouTube",
        "url": "https://www.youtube.com/watch?v=7JoqmM5EPXo&t=9s",
        "date": "Sep 01, 2026"
      },
      {
        "title": "Wafer, An Inference Provider That Uses Non-Nvidia Chips, Lands Acquisition Offers and $200 Million-Plus Valuation — The Information",
        "url": "https://www.theinformation.com/newsletters/ai-agenda/wafer-inference-provider-uses-non-nvidia-chips-lands-acquisition-offers-200-million-plus-valuation",
        "date": "Sep 01, 2026"
      },
      {
        "title": "AI Could Democratize One of Tech's Most Valuable Resources | WIRED",
        "url": "https://www.wired.com/story/ai-could-democratize-one-of-techs-most-valuable-resources/",
        "date": "Apr 15, 2026"
      },
      {
        "title": "Meet Wafer: The YC Startup Making GPUs 5x More Efficient with AI [Livestreams]",
        "url": "https://www.artificialintelligencemadesimple.com/p/meet-wafer-the-yc-startup-making?r=16nyel&triedRedirect=true",
        "date": "Jan 27, 2026"
      }
    ],
    "launches": [
      {
        "id": 100546,
        "title": "Wafer Pass: flat-rate access to the fastest open-source LLMs",
        "tagline": "The fastest open-source LLMs for OpenClaw, Claude Code, and any agent harness",
        "body": "**TL;DR** - Wafer Pass is a single subscription that gives you the fastest optimized open-source LLMs for any agentic coding harness. Plans start at $10/week. Every plan includes every model we host. Sign up at [wafer.ai/pass](https://www.wafer.ai/#pricing).\n\n![uploaded image](/media/?type=post&id=100546&key=user_uploads/1616952/7ea613a4-5300-4377-9fbe-32791825a31e)\n\n## Hi YC! We're Emilio and Steven, founders of Wafer (S25)\n\nToday we're launching **Wafer Pass**, a flat-rate API subscription to the fastest optimized open-source LLMs. One key, every model, drops into Claude Code, OpenClaw, Cline, Kilo Code, Roo Code, OpenHands, or Conductor.\n\n## **The problem**\n\nIf you use AI coding agents, you've felt the pain. Usage caps that hit at the worst moment. Per-token bills that swing between $5 and $50 a session. Juggling API keys across providers. Watching frontier closed models throttle you on Friday afternoons.\n\nOpen-source models (Qwen3.5-397B, GLM5.1, DeepSeek V4 Pro) have closed most of the gap on coding tasks. The problem is getting them served at the speed you actually want for an agent loop. Most providers run them on stock SGLang or vLLM, which leaves 50–80% of GPU performance on the table.\n\n## **What we built**\n\nWafer's core product is an AI performance engineer. You point it at an LLM and it optimizes it.\n\nWe have been pointing Wafer at the leading open-source LLMs and let it rewrite the entire serving stack: kernels, batching, scheduling, memory layout. The results are really impressive so far: \n\n* Qwen3.5-397B-Turbo is 2.8x faster than base SGLang\n* GLM5.1-Turbo is 2x faster than vLLM baseline\n* DeepSeek-V4-Pro is 2x faster than vLLM baseline\n\nThe Qwen example: \n\n![uploaded image](/media/?type=post&id=100546&key=user_uploads/1616952/5a00eeba-4de9-4052-a0ab-5643908058cd)\n\nSame weights as anywhere else. Just faster, because Wafer rewrote the kernels. We put the result behind a single OpenAI- and Anthropic-compatible API.\n\n## **Wafer Pass**\n\nOne subscription. One API key. Every model we host.\n\n* **$10/week (Starter):** 1,000 requests every 5 hours. All models.\n* **$25/week (Privacy):** 2,000 requests every 5 hours. All models. Zero Data Retention.\n\nEvery plan includes every model, and every future Turbo model we ship. No price increase as the catalog grows. For context: that's 10x requests than Claude Code Max, at 1/2 the price. \n\n## **Try it**\n\n**Sign up: [wafer.ai/pass](https://wafer.ai/pass)**\n\nIf you use Claude Code, OpenClaw, or any other agent harness, we'd love your feedback. Drop your Wafer API key in and tell us what breaks.\n\nIf you're building an agent or coding tool and want a default model layer, let's talk.\n\nEmail: [**emilio@wafer.ai**](mailto:emilio@wafer.ai) · Book a 15-min call: **cal.com/wafer/quick-chat**",
        "url": "https://www.ycombinator.com/launches/Q9i-wafer-pass-flat-rate-access-to-the-fastest-open-source-llms",
        "votes": 7,
        "created_at": "2026-04-30T00:19:46.736Z"
      },
      {
        "id": 92210,
        "title": "👑 Wafer - Cursor for CUDA",
        "tagline": "AI agent that turns your slow PyTorch into fast GPU code, automatically",
        "body": "## \n\n## **TL;DR**\n\nThe best GPU engineers work at Nvidia and OpenAI for $2M+ packages. The rest of us are stuck with PyTorch code that uses &lt;50% of our hardware. We built Wafer for every team that can't afford a GPU optimization expert. Wafer takes your PyTorch and optimizes it with custom kernels. It monitors your inference workloads, catches inefficiencies, and fixes them automatically. You keep shipping fast. Wafer makes it run fast. No CUDA knowledge required, no million-dollar hires needed.\n\n**Ask:** Are you trying to make your inference faster, writing CUDA by hand, or do you know someone who is? Fill our our [interest ](https://www.herdora.com/)form or send us an email [contact@wafer.com](mailto:contact@herdora.com) to be added to our pilot program. See below for details.\n\nhttps://youtu.be/K6nEevvlOro\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n—\n\n### **🧙 The Problem**\n\nGetting AI models to run fast on GPUs requires a rare breed of engineer. \n\nThese GPU wizards:\n\n* Command $300k+ base salaries (if you can even find them)\n* Spend **months** hand-writing custom kernels for each model\n* Need to rewrite every kernel for new hardware\n\nEven worse: If you want to run on alternative GPUs or other accelerators, you need **different** **experts** to **rewrite all your kernels**. Most teams are stuck choosing between:\n\n* Paying $$$ for GPU talent\n* Accepting &lt;50% hardware utilization\n* Locked to one chip longer than they want\n\n---\n\n—\n\n### **🐄 How Wafer solves it**\n\nWafer does what those GPU engineering wizards do, automatically. Feed it your PyTorch code, and it generates the optimized kernels that would normally take months of manual work.\n\n**What you get:**\n\n* **Auto optimization** - Your PyTorch goes in, optimized GPU code comes out. Same model, **1.5 to 5x faster**. The kernels Wafer writes are what a senior CUDA engineer would write after weeks of profiling and tuning.\n* **Hardware portability** - NVIDIA can’t give you enough capacity? Want to try out AMD’s new MI350 series? Wafer makes your code fast on both in seconds. No rewrites, no performance penalties.\n* **Production monitoring** - Wafer watches your models in production, spots inefficiencies, and fixes them. Think of it as having a GPU expert on-call 24/7.\n\nYou write PyTorch. Wafer makes it run like it was hand-tuned by the best in the business. Wafer then monitors prod to track performance. No CUDA expertise needed on your team.\n\n—\n\n### **📢 Who This is For**\n\nYou should reach out if any of this sounds familiar:\n\n* You're an ML engineer but you **don't have time to learn CUDA**\n* Your cloud bill is killing you because your models only use 30-50% of each GPU\n* You **want to try cheaper GPUs** but can't risk your models running slower\n\n—\n\n### **👥 The Team**\n\n* **Steven Arellano** - Researched LLMs at UChicago and worked as an engineer at Two Sigma, Google, and Sei Labs.\n* **Emilio Andere** - Researched transformers for weather prediction at Argonne National Lab, adversarial ML at SANDLab, and an engineer at Elicit.\n\n🤝 Friends since freshman year at UChicago, where we were also roommates\n\n—\n\n### **🙏 Our Ask**\n\nIf you're running ML workloads on GPUs (or know someone who is), we'd love to add you to our pilot program. Email us at [contact@wafer.com](mailto:contact@herdora.com) or fill out our [interest form](https://herdora.com/) with your model type and current GPU setup.\n\nYou'll get the same optimizations that companies pay GPU consultants $50k+ to deliver except automated and in days instead of months.\n\n**Currently Onboarding:**\n\n* ML teams running inference at scale\n* Teams hitting latency requirements in production\n* Companies with growing GPU compute bills\n* Companies evaluating AMD or Intel GPUs\n\n**Send us an email:** [contact@wafer.com](mailto:contact@herdora.com)\n\n**Book a call:** [https://cal.com/wafer/20min](https://cal.com/herdora/20min)\n\n**Interest:** [https://www.wafer.ai/interest](https://www.herdora.com/interest)\n\n---\n\n---",
        "url": "https://www.ycombinator.com/launches/NzG-wafer-cursor-for-cuda",
        "votes": 103,
        "created_at": "2025-07-16T18:10:07.640Z"
      }
    ]
  },
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    "id": 30645,
    "name": "Panels",
    "slug": "panels",
    "former_names": [],
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    "website": "https://www.usepanels.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Panels is an audio data platform that delivers high-quality speech datasets from vetted, diverse contributors to power training and evaluation of foundational voice models.",
    "one_liner": "Audio Data for AI Labs",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1755625983,
    "tags": [],
    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/panels",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/panels.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/panelsinc/",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1219845,
        "full_name": "Aaron Wenk",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Panels. Princeton ORFE. World Champion Rower. 2x National Champion Cyclist.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaron-wenk",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f30138bb50c149cc0c6b4838ae28f0736d591bb5.jpg"
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    "jobs": [
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        "id": 97234,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/panels/jobs/ZxF3rjn-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 93156,
        "title": "Panels: Audio Data for AI Labs",
        "tagline": "We power voice AI with high-quality audio data.",
        "body": "Hi!\n\nWe’re Aaron and Jason, and we’re building Panels.\n\n**TL;DR** — Panels builds diverse, high-quality conversational audio datasets for training Voice AI models. If you or someone you know is working on voice and needs audio data, we’d love to talk!\n\nhttps://www.youtube.com/watch?v=auANpScmgls\n\n**Our Story**\n\nAaron and Jason met at Princeton University where they both studied Operations Research and Financial Engineering.\n\n* Aaron is a 1x world champion and 5x national champion rower. After leaving rowing, Aaron became a 2x national champion in cycling, racing on a professional team against former Tour de France winners.\n* Jason previously helped build and grow startups to millions of users and worked on the data team at Amazon. He also taught NLP at Princeton.\n\n**The problem**\n\nVoice AI is exploding: in the past three YC batches, 60+ companies have depended on voice models. But voice models live or die on the quality of their training data.\n\nLabs need datasets that reflect:\n\n* Languages (global coverage, not just English)\n* Accents (real-world variety)\n* Emotions & expressiveness (not monotone samples)\n* Demographics (ages, genders, cultural nuance)\n\nRight now, most labs struggle to source enough realistic, diverse, high-quality conversational audio.\n\n**Our solution**\n\nPanels delivers exactly that.\n\n* We have a network of 10,000+ vetted voice contributors\n* Coverage across 20+ languages and 100+ countries\n* Expressive, conversational audio datasets designed for training state-of-the-art voice models.\n\nThis makes Panels the reliable data provider for the labs building the future of Voice AI.\n\n**Who this is for**\n\n* Voice labs scaling foundational models\n* Research institutions working on speech, linguistics, and AI\n* Conversational AI startups wanting to finetune their agents\n\n**Our ask**\n\nIf you (or someone you know) is building in voice and needs high-quality audio data, we’d love to talk.\n\nEmail us at [📩founders@usepanels.com](mailto:%F0%9F%93%A9founders@usepanels.com)
 or ☎️[Book a call](https://cal.com/aaron-wenk/30min)\n\n![uploaded image](/media/?type=post&id=93156&key=user_uploads/1219845/a7f9773c-5a31-4132-b481-bbfa0ddb1f68)\n\n",
        "url": "https://www.ycombinator.com/launches/OEW-panels-audio-data-for-ai-labs",
        "votes": 21,
        "created_at": "2025-08-19T19:35:10.536Z"
      }
    ]
  },
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    "id": 30646,
    "name": "Humwork",
    "slug": "humwork",
    "former_names": [
      "Qualify.bot"
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    "website": "https://humwork.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Humwork lets AI agents chat with human experts in real-time. When AI agents like Claude Code or OpenClaw hit a wall, Humwork's MCP server connects them to a verified domain expert in under 30 seconds. Our experts include senior engineers, lawyers, marketers, designers, and more.",
    "one_liner": "Human experts as API for AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1753843448,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/humwork",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/humwork.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/humwork",
    "x_url": "https://x.com/humworkai",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 107538,
        "full_name": "Yash Goenka",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Humwork, where AI agents hire human knowledge workers. Prev AI engineer and 2x founder. Patent holder for graphene supercapacitor manufacturing. Built first LLM startup in 2021. UC Berkeley grad.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yashvg",
        "x_url": "https://x.com/theyashgoenka",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb0ec215f5f41f89f32b38224f0258ef27750634.jpg"
      },
      {
        "user_id": 1524523,
        "full_name": "Rohan Datta",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Humwork, where AI agents chat with human experts in realtime. Prev. data scientist at MicroGrid Labs and research at UC Berkeley. BS & MS from UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rohan-datta-2500",
        "x_url": "https://x.com/OneRohanDatta",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d45663b6d125d757825d57e7e750a2d7e2aea6b.jpg"
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    ],
    "jobs": [
      {
        "id": 94387,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/humwork/jobs/9V8MtEV-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$90K - $140K",
        "equity_range": "2.50% - 5.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "PostgreSQL",
          "Python",
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    "news": [],
    "launches": [
      {
        "id": 99775,
        "title": "Humwork - Connect AI agents with human experts in 30 seconds",
        "tagline": "When AI agents hit a wall, Humwork connects them to a verified expert in real-time",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\n\\\nWe’re [Yash](https://www.linkedin.com/in/yashvg/) and [Rohan](https://www.linkedin.com/in/rohan-datta-2500/), co-founders of [Humwork](https://humwork.ai/).\n\n### **TL;DR:**\n\nHumwork is the real-time marketplace where AI agents call verified human experts when they get stuck. Add Humwork to any MCP-compatible agent, and when your coding agent, marketing agent, or research agent hits a wall, it gets connected to the right expert in under 30 seconds.\\\n\\\n<https://www.youtube.com/watch?v=Bqw_qP_jubA>\n\n\\\nHere’s the strange but true version of what we’re building: **AI agents will pay humans to chat with them.**\\\n\\\nThat sounds futuristic, but the need is already here. Anyone using tools like Claude Code, Lovable, or OpenClaw has seen the same failure mode. The agent gets 80% of the way there, then loops on the same bug, makes the same bad architectural guess five times, hallucinates an important legal nuance, misses the brand judgment call, or quietly produces something that looks right but is subtly wrong. If you’re not an expert yourself, you usually can’t even tell exactly where it went off the rails.\\\n\\\n**That is the gap Humwork fills.**\\\n\\\nWhen an agent gets stuck, it calls Humwork through MCP. We route it to the right verified expert in real time — a senior engineer, lawyer, marketer, designer, scientist, or other domain specialist — and the expert talks directly to the agent, not to the user. The answer gets pushed back into the agent’s context, and the work continues without the user leaving their workflow.\\\n\\\nIn practice, this means a coding agent stuck in a debugging loop can escalate to a senior engineer. A legal agent unsure whether a clause will actually hold up can escalate to a lawyer. A marketing agent that produced something polished but generic can escalate to someone with real taste and positioning judgment. Instead of failing silently or asking the user to rescue it, the agent gets expert help on demand.\\\n\\\nDevelopers and vibe coders hit this problem every day. A problem that a strong engineer can diagnose in a few minutes can send an agent into a 45-minute death spiral. And for non-technical builders, it’s even worse: the AI makes a mistake, but they don’t know enough to tell it how to recover. Their project stalls, not because the AI was useless, but because it needed one moment of human expertise.\\\n\\\n**Humwork gives AI agents a way to ask for expert help.**\n\nOur view is that this is where AI is going across all knowledge work. AI will do most of the execution, but humans will still sit at the edge for the hard decisions: architecture, compliance, judgment, taste, tradeoffs, and exceptions. Waymo has remote driver assistance for edge cases. We’re building the equivalent for AI agents.\n\nHumwork is live today. You can add one MCP server and give your agent an escalation path to verified experts in under a minute.\n\n### 💬 **Our Ask**\n\nIf you’re building with AI agents, try Humwork at [**humwork.ai**](http://humwork.ai).\n\nIf you’re building an AI agent product or running internal agents at your company, we’d love to talk about integrating Humwork as your human escalation layer.\n\nAnd if you’re an exceptional engineer, lawyer, marketer, designer, doctor, or domain expert who wants to get paid to help AI systems, we’d love to have you join the network.\n\nYou can reach us at [**founders@humwork.ai**](mailto:founders@humwork.ai) .\n\n### 👬 **The Team**\n\nYash and Rohan have been friends for 16 years, and both went to UC Berkeley for college.\\\n\\\nYash (CEO) was previously and AI engineer and is a 2x founder. He’s a patent holder for graphene supercapacitor manufacturing and built his first LLM startup in 2021. He studied Data Science at UC Berkeley.\\\n\\\nRohan (CTO) has worked as Data Scientist at Microgrid Labs and did drone imagine research at Berkeley. He’s previously built an AI voice calling platform that automated over 1 million minutes of phone calls. Rohan got his BS and MS in Civil Engineering from UC Berkeley.\n\n![uploaded image](/media/?type=post&id=99775&key=user_uploads/107538/63983a65-c01f-4094-bbd7-67b2d0542db6)\n\n![uploaded image](/media/?type=post&id=99775&key=user_uploads/107538/91c33ffc-ab44-44bf-b1d3-9bd756a08739)\n\n",
        "url": "https://www.ycombinator.com/launches/PxH-humwork-connect-ai-agents-with-human-experts-in-30-seconds",
        "votes": 25,
        "created_at": "2026-04-15T15:01:29.397Z"
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  },
  {
    "id": 30647,
    "name": "Cyberdesk",
    "slug": "cyberdesk",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6deea0aa4e96211ac35f75ade0705df19758a8e.png",
    "website": "https://www.cyberdesk.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cyberdesk is the first self learning computer use agent for developers to automate desktop workflows. \r\n\r\nFor example, one of our customers is building an AI agent for hospital patient intake, and they’re using us to automate an entire team of people manually clicking and typing into a desktop app to book appointments. \r\n\r\nWe launched mid July, and our agent is already operating in production environments, creating appointments in electronic health record apps and processing files in legacy ERPs.\r\n\r\nWe’ve built the first computer use agent that memorizes tasks and repeats them quickly while still adapting to unexpected changes on the screen. A good analogy is to how humans use computers: once we get used to an app, we use it much faster, while still adapting to random popups and crashes. This new paradigm for computer use will be needed by every company automating human workflows on computers.\r\n\r\nMahmoud previously built robotic process automation solutions impacting 20K+ employees at a Fortune 100 company. He also built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group. \r\n\r\nAlan is ex-NASA and previously dropped out to be the first founding engineer at a PearX startup. He is a second time founder, having previously built and scaled a consumer AI app to thousands of paying users.\r\n\r\nComputer-use agents will automate the $6T dollars spent on enterprise knowledge work and Cyberdesk will be the platform to power this.\r\n\r\nWe’d love to talk with you!\r\nhttps://cal.com/mahmoud-al-madi-klrs5s/30min",
    "one_liner": "Self learning computer use agent for developers",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1749659433,
    "tags": [
      "Developer Tools",
      "Robotic Process Automation",
      "Workflow Automation",
      "Enterprise Software",
      "AI"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We met 2 years ago, connecting over our shared experiences at Rice, and our love of building things. We both ended up living at the same Hacker House in Menlo Park, called Incepto! We started Cyberdesk with the realization that it’s really hard to build a great computer use agent, especially when it comes to reliability, speed, and cost. We both lived in a 9×9 Airbnb room with a tiny bed and a single desk (we call it the Cyberdesk lol) and got Cyberdesk off the ground, building the MVP in a 6 days and getting a paid customer the next day through a cold email. \\\r\n\\\r\nCyberdesk was built to solve all three of the core problems with off the shelf computer use models: speed, reliability, and cost. We’re excited to deploy this architecture to the world and become the best developer framework for computer use."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "From the moment we started working together, we knew we wanted to go through YC together. It was a little over a month before the deadline for Summer 2025 came out when we started working together, so we got to work! We launched, got paid customers, and built out our infrastructure fast. A month later, we interviewed in person and got the call from Jon Xu the same night that we got in! It was one of the happiest days of our lives."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started working together in late March (2025), with a shared goal of solving deep developer problems around computer use. We started off with an idea to help developers spin up virtual desktops for computer use agents in a single line of code. We shipped an MVP in 5 days and got a paid customer the next day through a cold email. For the next month, we kept shipping and looking for customers, and applied to YC with this idea. We found the product had interest from hobbyist developers, but for companies, there was much less pull because companies often already have VM infrastructure they are happy with. \\\r\n\\\r\nSo we made the call to pivot. We talked to over 100 developers in the computer use and robotic process automation space, and heard the same thing over and over: automating Windows desktops is an important yet extremely tedious process. You create a script once, then it breaks every time something changes in the app or a popup happens. Computer use agents were meant to solve that pain but even they were slow, costly, and non deterministic. That’s how we came up with the idea for what Cyberdesk is today - a layer on top of computer use agents that helps it memorize tasks it’s done before and repeat it consistently, 3 - 5x faster, and cheaply, while still falling back to computer use during popups and anomalies. We built an MVP in a week, and got our first pilot a week later. \\\r\n\\\r\nSince then we’ve been rapidly building out the product and closing more deals with startups and companies in healthcare, construction, accounting, and more, all of them using our agent to automate manual computer work they’ve struggled to automate before. "
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "For a developer team to automate legacy desktop apps with poor APIs, they’ve often resorted to building brittle automation scripts (either in Python or using a legacy RPA tool like UiPath) or hiring unreliable remote workers to click on remote desktops. As they need to support more and more software and versions of that software, the development and maintenance times exponentially increases. \\\r\n\\\r\nEvery company in the world has repetitive manual desktop work that is bogging them down. On top of that, companies building AI agents are increasingly having to interface with desktop apps to perform full human workflows. This problem is pervasive and we’re excited to solve it."
      },
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Traditional robotic process automation is a $6 billion industry, yet it only services a tiny fraction of desktop tasks that can now be automated by our agent. In the long term, our agent will automate every manual computer task."
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        "user_id": 1707002,
        "full_name": "Mahmoud Al-Madi",
        "title": "Founder/CEO",
        "founder_bio": "Mahmoud graduated from Rice University with a degree in Electrical Engineering where he built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group.\n\nAfter Rice, Mahmoud built RPA solutions impacting 20K+ employees at a Fortune 100 company, which inspired him to cofound Cyberdesk to build a computer use agent developers can use to automate desktop workflows.",
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        "title": "Cyberdesk - The computer use agent for developers to automate legacy Windows apps",
        "tagline": "Automate legacy apps like EHRs, ERPs, and more with just a prompt and an API call to our agent",
        "body": "Hey everyone! We’re Mahmoud and Alan, co-founders of Cyberdesk.\n\n**🏆 TL;DR:**\n\nWe’re building a computer use agent for developers to automate legacy Windows apps like EHRs, ERPs, and more. Just write your task in plain English, and call our API to trigger our agent. Our agent is designed to follow memorized steps reliably, only falling back to computer use models during expected popups.\n\nhttps://www.youtube.com/watch?v=yCDGsiCNb3E\n\n**❌ The Problem**\n\nDevelopers in industries like healthcare, supply chain, and beyond often work with clients who have old, legacy Windows software. Today, to work with these clients, they probably:\n\n* Hire unreliable offshore teams to manually click through remote desktops\n* Write fragile automation scripts that break on popups and need constant fixes\n* Skip the integration entirely—leaving valuable customers behind\n\n**✨ Our Solution**\n\nJust write your task in plain English, and our computer use agent will run it reliably, cheap, and fast, on any Windows PC (cloud or on prem).\n\nExample: entering patient data into OpenDental, a legacy dental EHR (real use case from one of our customers)\n\n1. **Write the task** (”Log in to Opendental, click Patients, find this dropdown, etc”), then just call our API to trigger the workflow\n2. **Our agent learns the task.** Every time it repeats the task, it does it 100% deterministically, upwards of 3x faster, and almost zero cost\n3. **If something unexpected happens** (like a popup), our system falls back to the computer use agent, and memorizes that trajectory too\n\n![uploaded image](/media/?type=post&id=92540&key=user_uploads/1707002/d09c26db-4734-4c16-8324-e5e0657e6512)\n\n**💯 The Team**\n\nMahmoud (CEO) previously scaled robotic process automation solutions to 20k employees at a Fortune 100. Alan (CTO) is ex-NASA and built a computer use agent at his previous startup.\n\n**Book a demo with us, or intro us to AI companies in regulated industries who need to integrate into legacy desktop apps!**\n\n* Book demo: https://cal.com/mahmoud-al-madi-klrs5s/30min\n* Our website: https://cyberdesk.io\n* Email us: mahmoud \\[at\\] cyberdesk \\[dot\\] io\n\n![uploaded image](/media/?type=post&id=92540&key=user_uploads/1707002/ca98113f-44e9-44ce-ab9b-20e5ea40354a)\n\n",
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        "created_at": "2025-07-29T15:47:24.669Z"
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    "long_description": "Janet AI lets you deploy reliable, cost-efficient 24/7 agents across every workflow, powered by custom agent memory and decision infrastructure we built for company operations. Janet remembers everything it sees and does across all your tools, and recalls exactly the right context at the moment it's needed.\r\n\r\nConnect your tools and scope permissions in a few clicks, describe your flows in plain English, and always-on agents handle the work, all while learning what's going on across your company.\r\n\r\nJanet AI is backed by Y Combinator, Formosa Capital, Paul Graham, Charles Ferguson, and others.\r\n\r\nCheck us out at janet.ai!",
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        "full_name": "Adhit Sankaran",
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    "long_description": "Lilac sells flexible GPU contracts and runs the software layer on top: monitoring, bare-metal provisioning, and managed Kubernetes and Slurm. We also run this layer for GPU cloud providers as their named operations and support partner.",
    "one_liner": "We sell GPUs.",
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        "full_name": "Lucas Ewing",
        "title": "Founder/CEO",
        "founder_bio": "I'm Lucas, born and raised in Stockholm Sweden, and moved to the US for High School and College (Harvey Mudd '23!)\n\nWorking on democratizing GPUs!",
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        "full_name": "Ryan Ewing",
        "title": "Founder",
        "founder_bio": "I'm Ryan, a software engineer with a background in building cloud and networking services at AWS.\n\nCurrently working on Lilac, a spot GPU marketplace that leverages idle GPUs in data centers and on-prem clusters.\n\nwww.getlilac.com",
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        "id": 92724,
        "title": "Lilac - We find you GPUs!",
        "tagline": "Lilac! The open-source tool that ensures your data scientists always have GPUs",
        "body": "💬 **TL;DR Lilac is an open-source tool that ensures your data scientists always have enough GPUs for their work. We seamlessly connect compute from any source, on-prem or cloud. [Check out our GitHub!](https://github.com/getlilac/lilac)**\n\n![uploaded image](/media/?type=post&id=92724&key=user_uploads/2382454/b1a41fba-535e-4392-9526-f97e72771387)\n\n❗**The Problem: The GPU Scramble is Slowing Down AI Innovation**\n\nAsk any data scientist and they will likely tell you their biggest frustration is finding GPUs. One team we talked to is spending $7 million dollars a year with a service provider to guarantee GPUs, yet they were still running out. This forces data science and infrastructure teams into a difficult position:\n\n* **Wasted Time:** Data scientists waste hours hunting for available GPUs across different clouds and on-premise servers, distracting them from building models.\n* **Spiraling Costs & Security Risks:** Infrastructure teams lose visibility as desperate data scientists use personal keys on unmanaged instances, leading to security gaps and unpredictable cloud bills.\n* **Slowed Innovation:** The result is a direct trade-off between innovation speed and engineering best practices. Companies either accept a slow model development lifecycle or pay millions for dedicated GPU contracts in a single cloud, losing flexibility.\n\n🏆 **The Solution: Unify Your Compute, Unleash Your Data Scientists**\n\nLilac is an open-source platform that transforms your scattered, multi-cloud, and on-premise GPU resources into a single, unified compute fabric.\n\nInstead of hunting for servers, your data scientists simply submit their training jobs to Lilac. Our intelligent scheduler handles the rest—finding the first available GPU that meets the job's requirements, allocating it, and running the job.\n\n**The Result:**\n\n* **For Data Scientists:** Maximum productivity. They can focus on building models, not managing infrastructure.\n* **For Infrastructure Teams:** Centralized control. Gain full visibility, enforce security policies, and manage costs across your entire fleet of compute resources.\n\nLilac bridges the gap between R&D and infrastructure, turning GPU scarcity into a streamlined, efficient workflow.\n\nHere’s an introduction and example of how it works:\n\n[**https://www.youtube.com/watch?v=n8Ye-8YS0I4&ab_channel=Lilac**](https://www.youtube.com/watch?v=n8Ye-8YS0I4&ab_channel=Lilac)\\\n\\\n🥇 **About Us**\n\nWe're a team of two brothers, [**@Ryan Ewing**](https://bookface.ycombinator.com/user/2356063) and [**@Lucas Ewing**](https://bookface.ycombinator.com/user/2382454), who have spent our careers building the infrastructure that powers the modern web. With experience scaling enterprise infrastructure at **AWS** and building end-to-end data platforms at **Webflow**, we've seen firsthand how critical, and how broken, the tooling for AI development is. We believe the rapid acceleration of AI requires a fundamental rethinking of the infrastructure stack, and we built Lilac to be the foundation of that new ecosystem.\\\n\\\n⭐ **Our Ask**\n\nWe are thrilled to announce that Lilac is now open-source with the release of **v0.1.0**!\n\n* **Check out our GitHub:** [**github.com/getlilac/lilac**](https://github.com/getlilac/lilac)\n* **Try it out:** Star the repo, try the quick start, and give us your feedback. We welcome all contributions, from bug reports to feature requests.\n* **Get in touch:** If the problem we're solving resonates with your company, we'd love to connect. Reach out at [**contact@getlilac.com**](mailto:contact@getlilac.com), [**schedule a 15-minute chat**](https://calendly.com/lucas-getlilac/15-minute-meeting) with us, or checkout our [**website**](https://getlilac.com/).",
        "url": "https://www.ycombinator.com/launches/O7Y-lilac-we-find-you-gpus",
        "votes": 23,
        "created_at": "2025-08-04T22:34:11.492Z"
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    "long_description": "The first advertising infrastructure designed specifically for AI apps. Seamlessly integrate contextual brands & products that enhance user experience while generating revenue to pay the inference bills.",
    "one_liner": "The World's First AI Ad Network.",
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        "full_name": "Bishesh Khadka",
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        "title": "Generalist Engineer, AI Advertising Infra",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "salary_range": "$150K - $250K",
        "equity_range": "0.25% - 1.75%",
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      {
        "id": 92592,
        "title": "🚀 Imprezia - World’s First AI Ad Network",
        "tagline": "We help brands get mentioned in AI responses – and we help developers get paid.",
        "body": "# **TL;DR:** MIT & Ex-Meta founder building the first ad network for AI chatbots. Brands pay to get mentioned and linked inside AI responses, and developers can monetize their AI apps.\n\n# **The Problem: Subscription only gets you so far…**\n\nMost AI apps today try to monetize with subscriptions, but just can’t find enough users who are willing to pay. \n\n→ **Inference bills are crushing** - AI compute costs 10-30x more than traditional apps\\\n→ **Subscription gates kill growth** - Only 3% of users typically convert\n\n→ **Can't scale to billions** - Free tiers = bankruptcy\\\n\\\nMeanwhile, Brands are dying to get mentioned organically inside of AI chat results.\n\nIt’s time for a new model.\n\n# **Our solution:** Imprezia brings contextual advertising directly into AI conversations.\n\n\\\nhttps://www.youtube.com/watch?v=wI7k7Byftks\n\n### **How It Works:**\n\n1. **One-line integration** - Drop in our SDK with an API key\n2. **Contextual ads** - We subtly include relevant brand mentions in your AI chat\n3. **Revenue sharing** - Developers get paid per impression or per click\n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/60ee6f8f-6eaf-40c1-b13f-72ac9e3b8aa6)\n\n# \n\n\\*\\*The Magic:\\*\\*\\\nIf a user asks about luxury stays in Tokyo, Imprezia might insert: \"Park Hyatt Tokyo” as an in line mention.\n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/2ff7e8cf-da9c-4074-bf5f-b6d9ee47349e)\n\n\\\n\\*\\*Brand Portal:\\*\\*\\\nAdvertisers can create campaigns and launch across our network of AI apps. \n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/3678028f-92fe-4e9c-8620-4dc9e45af275)\n\n**Win, Win, Win:**\n\n**For developers:** Monetize without subscriptions - earn premium CPMs\\\n**For users:** Valuable offers instead of noisy spam, within a free tier!\\\n**For brands:** Direct access to high-intent AI audiences\n\nIf you’re building an AI app or a brand looking to reach users within AI:\\\n✅ **Apply to get early access:** https://start.imprezia.ai \\\n💡 **Questions?** Please reach out to our founder, [bishesh@imprezia.ai](mailto:bishesh@imprezia.ai)\\\n\\\n**Team**:\\\nSince graduating MIT, [Bishesh](https://www.linkedin.com/in/bisheshkhadka/) has scaled billion dollar ad management & optimization systems Amazon ads and Meta.\n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/e2cfeb97-cf32-40af-a9bd-b0b18c336f32)\n\n",
        "url": "https://www.ycombinator.com/launches/O5Q-imprezia-world-s-first-ai-ad-network",
        "votes": 93,
        "created_at": "2025-07-30T23:49:33.889Z"
      }
    ]
  },
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    "id": 30651,
    "name": "Alter",
    "slug": "alter",
    "former_names": [
      "Alter AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a30946452aaca1a7c8b4b8fefafd9807f194243.png",
    "website": "https://alterauth.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Alter is a zero-trust identity and access control platform purpose-built for AI agents. It wraps every tool call in strong authentication, fine-grained authorization, and real-time guardrails, so agents can move fast without breaking things.\r\n\r\nEach request is verified at the parameter level, authorized against granular policies, executed with least-privilege access, and fully audited in real time. Unsafe actions, whether it’s a rogue DROP TABLE or a payment above policy limits, are blocked before they touch production. Behind the scenes, Alter manages credentials, issuing ephemeral, scope-narrowed access for every interaction, then rotating or expiring it in seconds. The result: no long-lived secrets, no blind spots, and no surprises in audit.\r\n\r\nWith Alter, teams can move fast on AI agent initiatives while staying fully compliant with SOC 2, HIPAA, GDPR, and internal security standards. A CISO-ready dashboard delivers real-time visibility, detailed audit logs, and compliance-ready controls, removing silos, eliminating excessive permissions, and providing complete oversight of every agent workflow.",
    "one_liner": "Privileged Access Management for AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1752476002,
    "tags": [
      "AIOps",
      "Developer Tools",
      "DevSecOps",
      "Security",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/alter",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/alter.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/alterai-dev",
    "x_url": "https://x.com/alter_ai_labs",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
      {
        "user_id": 736424,
        "full_name": "Srikar Dandamuraju",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Alter (YC S25), a zero-trust identity and access control platform for AI agents. Former Platform Lead at Goldman Sachs, where I scaled GSAM’s post-trade infrastructure from single to multi-cluster and helped launch the GM Card. Before that, software engineer at Addepar and Clear Street.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/srikar-d-473390136",
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      {
        "user_id": 1363069,
        "full_name": "Kevan Dodhia",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Alter (YC S25), a zero-trust identity and access control platform for AI agents. Previously technical co-founder of Compute.ai, where we built a compute engine 5x faster than EMR Spark and sold into highly regulated enterprises like LSEG. Compute.ai was acquired by Terizza in 2025.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevan-dodhia-760183129",
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    "launches": [
      {
        "id": 93044,
        "title": "Alter –  Identity and Access Control Platform To Secure Agents",
        "tagline": "Build secure, compliant agents without the fear of breaking production",
        "body": "### **TL;DR**\n\nAlter sits in the middle of every AI agent interaction, verifying identity and applying fine-grained RBAC & ABAC to check every parameter against policy. It instantly rejects dangerous actions and provides clear audit trails logging every request/response and decision.\\\n\\\nInterested? Learn more and request beta access at [alterai.dev](http://alterai.dev)\n\nDon’t want to read? Here is a video explaining what we do in a nutshell\n\n[Identity And Access Control Platform To Secure Agents | Alter (YC S25)](https://www.youtube.com/watch?v=UX0ACmMXpMg)\n\n**The Problem**\n\n**Dangerous:** Long-lived credentials and over-scoped service accounts mean a single leak can give an agent the keys to production letting it run destructive commands, exfiltrate sensitive data, or trigger costly transactions.\\\n**Opaque:** Scattered logs and siloed security make it impossible to trace “which agent did what, with which parameters” when something goes wrong, leaving teams blind in audits or incident response.\\\n**Slow:** Security reviews drag on for weeks because least-privilege and policy checks are hard to implement at scale, delaying projects and eroding velocity.\\\n**Overexposed:** Agents often get blanket root access, with no guardrails to stop prompt-injection or malicious payload swaps, so one bad input can become a catastrophic action.\\\n**The result:** enterprises face agents that _can_ and _do_ take unsafe actions in production, forcing teams to choose between unacceptable risk or shelving AI initiatives entirely.\\\n**\\\nOur Solution**\n\nAlter is the safest way to run AI agents in production without giving them blanket credentials or risking compliance breaches. From one central control layer, organizations can:\n\n* Host or connect to all their tools. We support MCP and Native tools (A2A coming soon)\n* Approve or deny any agent request in real time, with identity verification baked into every call.\n* Apply parameter-level RBAC & ABAC so dangerous actions like drop table commands in prod, during a freeze never reach production.\n* Instantly grant seconds-lived, scope-narrowed tokens so agents get only the access they need, only for that task.\n* Remove the need for long-lived API keys entirely, eliminating one of the biggest security liabilities.\n* See exactly what every agent did, when, and with what parameters, all in one CISO-ready dashboard.\n* Pass SOC 2, HIPAA, and GDPR audits without slowing down because compliance controls run automatically in the background.\n* Scale to any number of agents and tools without creating security silos or over-permissive access.\n\n### **The Team**\n\nWe are Srikar and Kevan.\\\n\\\nWe previously built enterprise-grade infrastructure at ComputeAI and Goldman Sachs, powering mission-critical systems for the London Stock Exchange and the Apple Card launch. Now we’re using that experience to make AI agents safe for production by giving them only the access they need and only for as long as they need it.\\\n**\\\nOur Ask**\n\nWe’re looking to connect with:\n\n* Engineering and security leaders running AI agents in production\n* Enterprises in regulated industries (finance, healthcare, government) with strict compliance requirements\n* Startups building AI-first products that need zero-trust access controls\n* Infosec teams looking to eliminate long-lived credentials and enforce least-privilege by default\n\nAs a bonus, we have also partnered with former OpenAI cybersecurity experts to provide you with ongoing red teaming, catching prompt-injection, data exfiltration, and other exploits before attackers can.\n\nIf you or someone you know is interested, please reach out to us at [**founders@alterai.dev**](mailto:founders@alterai.dev) or book a time to chat.",
        "url": "https://www.ycombinator.com/launches/OCi-alter-identity-and-access-control-platform-to-secure-agents",
        "votes": 30,
        "created_at": "2025-08-15T19:42:34.047Z"
      }
    ]
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    "id": 30652,
    "name": "OnDeck AI",
    "slug": "ondeck-ai",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb6ad4cbd4cdfac49ff1b40404d7053d5789883.png",
    "website": "https://www.ondeckai.com",
    "all_locations": "Vancouver, BC, Canada",
    "long_description": "OnDeck is the infrastructure layer that makes Vision Language Models accessible and scalable for enterprise. Our model, Perception-0, let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data.\r\n\r\nThe Pain: Creating vision models usually takes months: collecting training data, training, then deployment.  Worse yet: \r\n+ it’s often impossible to get enough data for a specific task, and \r\n+ even the best cv models struggle to generalize across diverse camera setups, workflows and environments. \r\n\r\nTo overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We published a NeurIPS workshop paper showing our new methods with VLMs beat traditional CV even at niche tasks. Now, our model Perception-0 beats the best VLMs including Gemini at long video understanding.\r\n\r\nOur current customers include:\r\n- National Defense Organizations\r\n- Robotics Research\r\n- Security cameras\r\n- Behaviour analysis for port monitoring\r\n- Off-shore oil & gas monitoring",
    "one_liner": "Analyze any footage, without training a model",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1755488960,
    "tags": [
      "Machine Learning",
      "SaaS",
      "Computer Vision",
      "B2B",
      "Video"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ondeck-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/ondeck-ai.json",
    "year_founded": 2025,
    "city": "Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/ondeckai/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1161477,
        "full_name": "Alexander Dungate",
        "title": "Founder/CEO",
        "founder_bio": "Solving vision @ OnDeck. BSc in CS + biology, National Geographic Explorer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexander-dungate/",
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      },
      {
        "user_id": 1148628,
        "full_name": "Sepand Dyanatkar",
        "title": "Founder/CTO",
        "founder_bio": "Solving vision.  Masters @ Cambridge in multi-agent RL. Research in swarm robotics for space, and built software at Amazon and the European Space Agency. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sepandd",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b396c35a4599135d95d8b377d1bace2b0ca3453.jpg"
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    "jobs": [
      {
        "id": 81971,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/ondeck-ai/jobs/IQTL9o5-founding-engineer",
        "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K CAD",
        "equity_range": "0.10% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
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    "news": [],
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      {
        "id": 93172,
        "title": "OnDeck AI - Analyze any video, without training a model.",
        "tagline": "We let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data.",
        "body": "Hey everyone 👋\n\nWe’re Alexander and Sepand, cofounders of [OnDeck AI](https://ondeckai.com).\n\n### TL;DR\n\nOnDeck lets you analyze any video, without training a model. Instantly find any event, behaviour, or object without needing any training data.\n\n### Ask:\n\n**Do you know anyone who needs to analyze tons of video or imagery? Please introduce us!**  [alexander@ondeck-ai.com](mailto:alexander@ondeck-ai.com)\n\n\\[[https://youtu.be/MafiM94IkV8\\\\\\]](https://youtu.be/MafiM94IkV8%5C%5D)\n\n### The Pain:\n\nCreating vision models can take months of engineering time: collecting training data, training, then deployment.  Worse yet: \n\n* it’s often impossible to get enough data for a specific task, and \n* even the best cv models struggle to generalize across diverse camera setups, workflows and environments.\n\n \n\n### Our Magic:\n\nTo overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We **published a NeurIPS workshop paper** showing our new methods with VLMs beat traditional CV even at niche tasks.\n\nWhy this is good:\n\n* We never train on customer data, unlocking sensitive use cases.\n* Deploy instantly and skip months of R&D.\n* Identify things that have never been seen before.\n* Unlike traditional cv, OnDeck can **_understand_** qualitative behaviour and sequences of events.\n\nThis summer we’ve analyzed thousands of hours of footage across:\n\n* Fleets of Autonomous Surface Vessels \n* Robotics Research\n* Security cameras \n* Behaviour analysis for port monitoring\n* Off-shore oil & gas monitoring\n\n### The Team:\n\nSepand (CTO) has a Master in ML from Cambridge and worked at the European Space Agency, Amazon, and swarm robotics research labs. We both studied cs in university together and we’ve been best friends since grade 6. We originally started OnDeck to automate fisheries monitoring (counting fish in video 🐠). We generated six-figure revenue before pivoting in January.\n\n![uploaded image](/media/?type=post&id=93172&key=user_uploads/1161477/796316a1-6848-4ece-a2b3-cc5e56514825)\n\n**Ask: Do you know anyone with loads of video or imagery to analyze? Please introduce us!\\\n\\\nPing us anytime:** [alexander@ondeck-ai.com](mailto:alexander@ondeck-ai.com) / [ondeckai.com](http://ondeck-ai.com) / [Linkedin](https://www.linkedin.com/company/ondeckai/) / [Twitter](https://x.com/ondeckai)",
        "url": "https://www.ycombinator.com/launches/OEm-ondeck-ai-analyze-any-video-without-training-a-model",
        "votes": 34,
        "created_at": "2025-08-20T01:13:05.704Z"
      }
    ]
  },
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    "id": 30653,
    "name": "Async",
    "slug": "withasync",
    "former_names": [
      "Skope"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c746a958222a919c90dfff3a0cd3a949fa81bcc.png",
    "website": "https://withasync.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Async builds AI agents that run small businesses. Law firms, healthcare clinics and real estate companies hire our AI agents to automate complex work that's never been economical to staff with humans, letting us capture labor spend that didn't previously exist.",
    "one_liner": "AI agents that run small businesses",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1750879126,
    "tags": [
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/withasync",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/withasync.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/useskope/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 2087375,
        "full_name": "Ben Smith",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder of Async. Used to sell shoes, trading cards and collectibles. Dropped out of college at 20 to build software. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-smith-b15b12293/",
        "x_url": "https://x.com/imbensmith",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9ce70059aceb2cd015e416ccb6f9b0525ad8c0a.jpg"
      },
      {
        "user_id": 1593011,
        "full_name": "Connor Park",
        "title": "Founder/CTO",
        "founder_bio": "Previously studied Computer Science at the University of Michigan, Ann Arbor. Building since 7 years old. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/connor-park24/",
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    "launches": [
      {
        "id": 109673,
        "title": "Async - Specialized AI agents, that automate costly work for small businesses.",
        "tagline": "AI agents that change how small businesses can run",
        "body": "[https://drive.google.com/file/d/1pDRqFr9HS9Tlou6LoJb8I9sFyKTJpDbv](https://drive.google.com/file/d/1pDRqFr9HS9Tlou6LoJb8I9sFyKTJpDbv/view?usp=sharing)\n\\\nTLDR: Async builds AI agents that change how real economy small businesses can run. Law firms, healthcare clinics, real estate companies, and childcare facilities hire our AI agents to automate complex work that's never been economical to staff with humans. Every day, our agents complete work from scheduling clinical therapy appointments, to drafting long legal documents, to entering data into legacy practice management systems. We've automated thousands of hours worth of work for small businesses around the country.\\\n\\\n**The Problem:**\\\nSmall businesses lack the ability to effectively adopt AI.\n\n* Effective adoption requires rebuilding operating procedures to be agent first, instead of human first. SMB owners generally lack the time and knowledge to do this.\n* Out-of-the-box solutions fail to make an outsized impact within complex operations.\n* These businesses cannot grow without scaling headcount.\n\n\\\n**The Solution:**\\\nWe rebuild workflows and deploy AI agents to automate them end-to-end.\n\n* We build a configurable platform that lets us quickly deploy specialized AI agents inside of their business.\n* These agents work within our platform and on top of legacy systems.\n* The work our agents handle for customers spans everything from drafting real-estate closing documents, to coordinating scheduling for ABA therapy appointments, to handling data entry into legacy legal software systems.\n\n\\\n**Asks:**\n\n* Introductions to small businesses (especially within law, healthcare, real estate, and childcare) would be greatly appreciated.",
        "url": "https://www.ycombinator.com/launches/SWv-async-specialized-ai-agents-that-automate-costly-work-for-small-businesses",
        "votes": 8,
        "created_at": "2026-08-10T17:30:00.428Z"
      }
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    "id": 30656,
    "name": "DeepGrove",
    "slug": "deepgrove",
    "former_names": [
      "DeepGrove AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/59526ba018b33a62299943322dc03eae29a298f4.png",
    "website": "https://deepgrove.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Frontier Intelligence. On Any Device.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1753646840,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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        "title": "Stockline : AI-native ERP for food wholesalers",
        "tagline": "No more retyping orders. No more time spent on admin. ",
        "body": "# **Hi!**\n\nWe’re **Moncef DJAFRI** and **Mariem Ould Ismail** from 🇫🇷 Paris, and we’re building **Stockline**.\n\n---\n\n# **TL;DR**\n\n**Stockline** is an **AI-native ERP** for food wholesalers — automating manual order entry and replacing their clunky software from the 90s.\n\n![uploaded image](/media/?type=post&id=92425&key=user_uploads/2131140/29e05c95-954b-4073-9a4c-32fa93e0e7a2)\n\n---\n\n# **WHY WE CARE**\n\nMariem’s father is a fish wholesaler. 🐟 Back in high school, she spent her summers helping him — and watched him waste hours every day retyping orders, chasing invoices, and drowning in paperwork. ✏️\n\nThat’s where the idea was born.\n\nMariem and Moncef met at **École Polytechnique** in France, where we went through years of military training, rigorous math, and team projects.\n\nWe were both admitted to **MIT** and **Stanford**, but chose to focus on **Stockline’s mission**: bringing tech to an industry long overlooked by digital transformation.\n\n---\n\n# **THE PROBLEM**\n\nMost food wholesalers still rely on software from the 90s.\n\nOne symptom among many: **Orders come in through WhatsApp, SMS, email, or phone calls — and get retyped manually into their ERP.**\n\nAdmin work takes over.\\\nHeadcount grows just to keep up with repetitive tasks.\\\nFrom quoting to delivery, everything is **manual, error-prone, and slow**.\n\nThey barely use data. **Prices are set by instinct**, with no visibility into stock or margins. And most tools out there just don’t match how they actually work.\n\nThis leads to:\\\n→ Mistakes\\\n→ Tight margins\\\n→ Food waste\n\n---\n\n# **THE SOLUTION**\n\n**Stockline replaces outdated ERPs with AI at the core.** The game-changer? **No more manual data entry**.\n\nOur AI captures orders from every channel — **WhatsApp, SMS, email, even phone calls** — and feeds them straight into one unified system.\n\nWe centralize:\\\n• Communication (WhatsApp, emails, SMS…)\\\n• Operations (billing, inventory, CRM…)\n\n**All in one platform. Admin disappears.**\n\nOnce you have all the data in one interface, the sky’s the limit! And the broader vision is to rethink ERPs entirely so that wholesalers finally get to focus on what really matters:\\\n→ Their products\\\n→ Their customers\\\n→ Their margins\n\nhttps://youtu.be/TsbPuwGhZhs?si=u5U0orZ_aIgIVbJE\n\n# **OUR ASK**\n\n👀 **Intros in the US or EU**\\\nKnow **a food wholesaler, supplier, restaurant, supplier, fish market, butcher, supermarket**…?\\\nAn intro would mean a lot.\n\n🧠 \\*\\*ERP experience?\\*\\*\\\nIf you’ve worked with ERPs or know the market (Europe or US), we’d love to chat.\n\nLet’s fix food logistics together!\n\n📧 **Email us:** [contact@stockline.ai](mailto:contact@stockline.ai)\n\n📱 **Text us:** +1 627 268 9935 // 0033 652266829 (WhatsApp)\n\n💻 **Ask for a demo**: https://stockline.ai",
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    "jobs": [
      {
        "id": 82887,
        "title": "Founding Engineer - Full Stack",
        "url": "https://www.ycombinator.com/companies/pangolin/jobs/7DeBchl-founding-engineer-full-stack",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $150K",
        "equity_range": "0.50% - 1.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Android",
          "Express",
          "Git",
          "Go",
          "iOS",
          "Kubernetes",
          "PostgreSQL",
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          "Docker",
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    "news": [],
    "launches": [
      {
        "id": 92267,
        "title": "Pangolin – Open-source secure gateway to private networks",
        "tagline": "Pangolin tunnels your services to the internet so you can access anything from anywhere.",
        "body": "**TL;DR: [Pangolin](https://digpangolin.com) is an [open-source](https://github.com/fosrl/pangolin) cloud and self-hostable alternative to Cloudflare Tunnels, Zscaler ZPA, and Ngrok. Pangolin provides a simple way to securely expose applications on private networks with identity-aware access control and high availability.**\n\nWe’ve seen incredible early traction since we launched 5 months ago: **12,600+ GitHub stars, 140,000+ installs, 2,700+ Discord members**. \n\nhttps://youtu.be/0nv91PgCm9M\n\n\"Pangolin isn't just a fantastically easy-to-configure VPN and reverse proxy; it's a revelation in self-hosting simplicity.\" XDA Developers\n\n**The problem:**\n\nProviding users with secure access to internal tools and infrastructure is cumbersome for both end users and administrators. They're forced to manage complex VPN clients, servers, and network configurations that create friction and operational overhead. Traditional and mesh VPN approaches require layered ACL management to control which users can access specific resources, turning simple access requests into complex network engineering problems.\n\n**Our solution:**\n\nDrop in the Pangolin connector in your network, and:\n\n* **Expose anything to the internet:** Instantly create a secure tunnel with your domain and SSL to internal dashboards like Grafana, or any other services on your private network and access via web browsers.\n* **Manage access control with ease:** Grant access to your resources with user and role-based permissions, PIN codes, temporary share links, or email OTPs. Bring your existing users by integrating an external identity provider.\n* **Own your infrastructure:** Self-host your own Pangolin Nodes, so data flows through your servers, and our cloud will handle coordination and failover for out-of-the-box high availability.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfMGfOAnChfvZ2vFva0IbL-s3dj1O50IP8cfgGf7h9IDz3ViH_tHbtHEwr_bdecGPerQPY-HSRMtoRLmJew9IlaQqpQQY_1JJBluOAEKCqsWjvusZMgy_9Y5FPVvjo68nGNaZ0Uig?key=2GXukewhPJ8smnttAaub3w)\n\n\"A self-hosted version of Cloudflare Tunnels on your terms. By your terms, I mean on the infrastructure of your choice.\" Lawrence Systems\n\n**Deployment options:**\n\n* **Enterprise:** Self-host the entire system on-premises with complete control over all system components.\n* **Hybrid:** Self-host Pangolin Nodes on internal infrastructure while leveraging our cloud service for automatic failover coordination.\n* **Cloud:** Fully managed service where organizations only run network connectors to expose resources.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc8cH83Sxqj5M57XuqQm_sofqW-Qn1sfTvTEsaTg4xYVAfRh_33XNMI8QDJrqibWqIQNVLLFHBob1vASk5ZnaX8KF5nZfY2eXYOwMp-n9UzOzyEHQUiocK89KT8izCeFG1CaEJ5xA?key=2GXukewhPJ8smnttAaub3w)\n\n**Get started:**\n\n* Website:[ https://digpangolin.com](https://digpangolin.com)\n* GitHub: https://github.com/fosrl/pangolin\n\n\"Its streamlined deployment has left janky WireGuard configurations and Cloudflare tunnels in its dust.\" [selfh.st](http://selfh.st)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdXJ0wOsKzIrKFRWntnI4mgQRM3dcsgCMe7-t3poZP4A56J7SxiqqTdPU85bzNvvTXCO5Nuu7hRM2fXyvHrAbn55MzAd2N0J374OuDMoY8PdFgfa9jg9f2eRBgYzQqfCl-Srx3t?key=2GXukewhPJ8smnttAaub3w)\n\nWe are Owen and Milo Schwartz (brothers) who previously worked together as founding engineers at a successful smart mobility startup, working on connectivity and automation solutions for public infrastructure. We are passionate about building the next generation of simple networking tools.\n\n“I’m addicted to Pangolin” [u/ParadoxHollow](https://www.reddit.com/r/selfhosted/comments/1kqrwev/im_addicted_to_pangolin/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)\n\n**The ask:**\n\nWe’d love for the YC community to try out [Pangolin Cloud](https://pangolin.fossorial.io/auth/signup) and give us your feedback!\n\nWe are also looking for any warm intros to people who might be interested in the product - particularly businesses with on prem applications or field equipment in the IoT space.\n\n**Contact:**\n\n[founders@fossorial.io](mailto:founders@fossorial.io)",
        "url": "https://www.ycombinator.com/launches/O0B-pangolin-open-source-secure-gateway-to-private-networks",
        "votes": 85,
        "created_at": "2025-07-18T07:08:50.979Z"
      }
    ]
  },
  {
    "id": 30669,
    "name": "Slashy",
    "slug": "slashy",
    "former_names": [
      "Dash"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6667cfdd83f59c43fda8940767ec6748fe44b96.png",
    "website": "https://www.slashy.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Slashy is an AI-native email client for founders and operators. It drafts replies in your voice from your sent mail, triages your inbox, tracks follow-ups, keeps your calendar in the inbox, and can be run from iMessage, Slack, or an AI agent through its MCP server. Slashy works with Gmail, Google Workspace, Outlook.com, and Microsoft 365, on web, Mac, and iOS.",
    "one_liner": "Cursor for Email",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1750786342,
    "tags": [
      "Productivity",
      "Enterprise Software",
      "Automation",
      "Email",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/slashy",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/slashy.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/slashy-email/",
    "x_url": "https://x.com/slashyemail",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6667cfdd83f59c43fda8940767ec6748fe44b96.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 2067448,
        "full_name": "Harsha Gaddipati",
        "title": "Founder/CEO",
        "founder_bio": "Changing email with Slashy :) \n\nSign up at slashy.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/harsha-gaddipati-032bb820a/",
        "x_url": "https://x.com/GaddipatiHarsha",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92acbfaee472f1cb2f0391cce84807835e411573.jpg"
      },
      {
        "user_id": 1584972,
        "full_name": "Dhruv Roongta",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Slashy, the AI-native email client. Studied Computer Science at Georgia Tech; previously interned at Groq, Pulse (S24), and Greptile (W24), and won prizes at CalHacks and HackMIT.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dhruv-roongta-421a7b214/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f726696878d0aea7136b4e35aa639a734d81387c.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 108791,
        "title": "Slashy - start saving 2 hours a day on email",
        "tagline": "Slashy drafts replies in your voice, schedules meetings, and handles follow ups, so you spend less time managing email, and more time on what matters",
        "body": "Hey everyone we’re Harsha and Dhruv from Slashy. Our goal is to define the next generation of email, by building an email platform that actually works for you, and learns over time. \\\n\\\n**TLDR:** Slashy is the next big email platform after Superhuman, the first with an assistant built in. Slashy can do everything from writing drafts in your tone, texting you when an important email comes in, prepping you for calls, to the things you expect from a true email client like keyboard shortcuts, open tracking, a mobile app and more. All while continuously learning about you and your preferences, so it only gets better over time. The average user takes 5 minutes to get set up and saves an extra hour a day. Read an independent review from Tom’s guide (1m+ subscribers) [here](https://www.tomsguide.com/ai/slashy-is-the-ai-email-app-replacing-notion-mail-heres-why).\n\nYou can get started for free at [slashy.com](http://slashy.com), and use our YC deal for a long-term discount.\n\n**Launch Video:** <https://youtu.be/o2TN-wwCYm8>\n\n## **Problem**\n\nMost founders we speak to, have one of two problems (sometimes both)\n\n1. They spend too much time manually handling email, and not enough building their company.\n2. They don’t spend enough time on email, and lose important deals/hires due to things slipping.\n\n## **Solution**\n\nThat’s why we built Slashy, the first email platform that reliably gets work done for you, whether it be drafting emails, notifying you when a prospect replies, schedule meetings, or more. Slashy works wherever you work best, so onboarding is seamless (just ask some of our users). It takes 10 minutes to set up, and saves the average email power user an extra one hour a day. It does this by:\n\n1. **Doing all the basic things right:** Stuff like keyboard shortcuts, open tracking, unified inbox, team comments, availability links, all come part of Slashy. So you don’t lose anything transitioning from Gmail, Superhuman, Front and more. ([@Jayme Hoffman](https://bookface.ycombinator.com/user/60463) actually switched to Slashy being surprised just that a new email client could match the speed, shortcuts of something like Superhuman)\n2. **Writing drafts that sound like you:** Claude drafts sound like slop because they just look at the thread. Slashy does a lot more, it looks at the linkedin/web of recipients, past emails you’ve sent, past changes you’ve made to prior drafts, and more including using our own custom-built memory system for email. (Fun fact we have a special tool for handling suggesting times/scheduling as base llms are very bad at this). ([@Michelle Marcelline](https://bookface.ycombinator.com/user/379052) pretty much just hits send on all her Slashy drafts with minimal edits)\n3. **A powerful sidebar:** Slashy comes with a cursor-like sidebar. That lets you do things like search, draft, schedule and more. So you no longer need to keep flipping between ChatGPT and your email. ([@Yahia Bakour](https://bookface.ycombinator.com/user/2538368) loves this to power thorugh drafts and replies)\n4. **Integrations:** Slashy connects to not just your email, but your meeting notes (Granola, Fathom, Circleback, etc.), crm (Attio, Hubspot, Salesforce, etc.), Notion and more since the context to handle email isn’t just in email. ([@Pavlos Markesinis](https://bookface.ycombinator.com/user/2511438) loves how Slashy connects to his Attio and makes life simple)\n5. **Automations:** The best assistants also know when to handle things in the background. So Slashy can also automatically do things like prep you for calls, text you when an important email comes in, and more. ([@Owen Botkin](https://bookface.ycombinator.com/user/2579867) relies on Slashy to prep him from calls, and [@Pranav Madhukar](https://bookface.ycombinator.com/user/1531197) doesn’t even check his email anymore unless Slashy alerts him an email comes in)\n6. **iMessage/Slack Bot:** One of the worst parts of traditional clients? You need to open them to see if something important comes in. Slashy can ping you on text/slack so you don’t even need to context switch. (@devansh is one of our bigger Slack fans, while [@Abhinav Gopal](https://bookface.ycombinator.com/user/979064) for iMessage).\n7. **Voice:** Sometimes it’s easier to speak your mind than write (or you’re driving and just can’t haha). So Slashy lets you dictate your thoughts, and our AI will make it sound like a much better version of you. Or you can talk with our voice to voice agent when you’re commuting (@vishruth is one of our power users for our voice drafts).\n8. **Personalized Memory:** Slashy gets better the more you use it. It keeps notes on how you write, who you talk to, when you schedule, and also it learns from every edit you made before hitting send. It even once a week goes back and rewrites its notes to better match you. After all you'd expect a human assistant to be smarter after a few months, why not your ai one. ([@Devraj Gopal](https://bookface.ycombinator.com/user/2057015) loves how Slashy has grown to know him more and more).\n9. **Natural Language Labels:** A common complaint we hear is the rise of the AI SDR, and how everyone’s inbox is inundated with emails. The problem with traditional labelling systems is they don’t adjust over time, leading to important emails getting missed. Slashy’s labelling system does, leading to a much better filtering rate, and fewer dropped balls. ([@Nazli Danis](https://bookface.ycombinator.com/user/520906) was drowning in spam before Slashy)\n\n## Security and Privacy\n\nWe take security/privacy as an email client very seriously.  We’ve already gotten CASA, and SOC II. We also get monthly pen-tests done by [@Casco](https://bookface.ycombinator.com/company/30477) to ensure our users' data is safe. None of our AI providers train on your data as well.\n\n## Getting Started\n\nNow if you want to get started just go to[ slashy.com](http://slashy.com), or you can book a time here if you’d like me to demo the product/ask any questions just shoot an email to [founders+ea@slashy.com](mailto:founders+ea@slashy.com), and Slashy will schedule a time that works for both of us :)",
        "url": "https://www.ycombinator.com/launches/SIh-slashy-start-saving-2-hours-a-day-on-email",
        "votes": 33,
        "created_at": "2026-08-03T03:07:19.686Z"
      },
      {
        "id": 92851,
        "title": "Slashy: The AI for Work",
        "tagline": "Slashy is the AI assistant that slashes through repetitive work",
        "body": "Slashy is the AI assistant that slashes through repetitive work: meeting prep for sales, automatic JIRA ticket creation, updating your CRM, and more.\n\nWe built Slashy after watching brilliant people waste hours every day on tasks that should be automated. They weren't trying to build another AI tool, they wanted to build the AI that makes all your other tools finally work together.\n\nSlashy gets users 10+ hours back every week to focus on the work that actually matters.\\\n\\\nBook a meeting: https://cal.com/slashy/30min or try it out at [slashy.ai](http://slashy.ai)\\\n\\\nhttps://youtu.be/F5ptH79YvNM",
        "url": "https://www.ycombinator.com/launches/O9b-slashy-the-ai-for-work",
        "votes": 27,
        "created_at": "2025-08-08T20:59:23.348Z"
      },
      {
        "id": 91949,
        "title": "Dash: AI That Actually Gets Work Done",
        "tagline": "Meet Dash: An AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.",
        "body": "**We built an AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.**\n\n# [usedash.ai](http://usedash.ai) | [founders@usedash.ai](mailto:founders@usedash.ai)\n\n## The Problem\n\nKnowledge workers spend 90% of their time on manual, repetitive tasks that could be automated. Current AI tools like ChatGPT operate in isolation; they can't update Notion databases, search across Slack, or send emails.\n\n## Our Solution\n\nDash is an AI agent that connects to your tools (Gmail, Slack, Notion, Linear, Google Docs, HubSpot, calendar, and more) to complete entire tasks.\n\nhttps://youtu.be/kFPAxXAUlq8\n\n## Real Examples from Beta Users\n\n**\"Weekly team update\"**\n\n* Reads Slack channels for key discussions\n* Checks Linear tickets for sprint progress\n* Pulls metrics from HubSpot and Notion\n* Compiles and emails formatted report\n\n**\"New enterprise lead follow-up\"**\n\n* Adds leads to Hubspot with enriched data\n* Creates qualification tasks in Linear\n* Schedules follow-up calls in calendar\n* Notifies team in Slack with context\n\n**\"Daily standup agenda\"**\n\n* Pulls yesterday's completed Linear tickets and today's planned work for team members\n* Generates standup summary in Notion\n\n## We're Looking For\n\n**Know someone who is tired of switching between tools instead of making a real impact?**\n\nWe're perfect for folks who are tired of context-switching between Notion, Slack, emails, docs and more.\n\nPerfect for:\n\n* **Founders** \n* **PMs** \n* **Operations folks**\n\n**Try it for free:** [usedash.ai](http://usedash.ai)\n\n![uploaded image](/media/?type=post&id=91949&key=user_uploads/2067448/a58c2bd9-c956-48b3-a2e3-632b5cfbc418)\n\n",
        "url": "https://www.ycombinator.com/launches/Nv3-dash-ai-that-actually-gets-work-done",
        "votes": 83,
        "created_at": "2025-07-08T06:16:45.784Z"
      }
    ]
  },
  {
    "id": 30671,
    "name": "Panoptive",
    "slug": "panoptive",
    "former_names": [
      "AgentHub"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e968a9edc53bbf932ccbe0585917fe2029077b90.png",
    "website": "https://www.panoptive.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We turn unstructured monitoring data - monitoring visit reports, EDC data - into structured deviation, safety, and quality findings for human review. Panoptive generates an audit-ready oversight trail as a natural byproduct. \r\n\r\nThe platform aggregates findings and identifies systemic patterns across sites and subjects before they compound, and tracks every finding through decision, follow-up, and resolution.",
    "one_liner": "The continuous oversight engine for clinical trials",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1753389326,
    "tags": [
      "B2B",
      "Biotech",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/panoptive",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/panoptive.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/panoptive-health",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e968a9edc53bbf932ccbe0585917fe2029077b90.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 715142,
        "full_name": "Youssef Kallel",
        "title": "Founder/CEO",
        "founder_bio": "Building the oversight engine for clinical trials @Panoptive. CS @ CMU, previously a tech lead on the Foundation Model Evaluation team at Apple.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/youssefkallel/",
        "x_url": "https://x.com/ymkallel",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9682bb7b67349e3ed4282ddad6d49a76ec9a964e.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 92664,
        "title": "💻 AgentHub 📈 - The Staging Environment for your AI Agents",
        "tagline": "Simulate, trace, and evaluate agent behavior in real-world environments",
        "body": "### **TL;DR**\n\nAgentHub is an implementation-agnostic platform for evaluating AI agents in realistic simulation environment sandboxes. Use cases that we support include computer-use, browser, conversational, and tool-use agents. We help teams test, trace, track, and improve agent behavior at scale before deployment, closing the gap between vibe checks and real-world performance.\n\n👉 Check us out [AgentHubLabs.com](http://AgentHubLabs.com)\n\n💬 If you’re building agents, training models, or can connect us to someone who is, we’d love to [chat](https://calendar.google.com/calendar/appointments/schedules/AcZssZ1FO0fw7yHEhAAHWoiyCOS2umxQTuat9bIUwOOzomfV4D8bxhKakigP0nglXPAQh-4qvrYwukiM)!\n\n---\n\nhttps://www.youtube.com/watch?v=1gPVYcphmmY\n\n### **🧩 The Problem**\n\nLLM-based agents often **pass simple evals at a small scale and in specific cases** but **fail in deployment**. They hallucinate tool use, misuse APIs, or follow an inefficient (or incorrect) reasoning trajectory that isn’t captured in standard benchmarks. There’s no standard way to evaluate agents beyond prompt-based tests - especially across **tool use**, **UI interactions**, and **multi-step reasoning**.\n\n---\n\n![uploaded image](/media/?type=post&id=92664&key=user_uploads/1435098/77c2d173-7349-41e4-90a2-e2b69712ede5)\n\n### **✅ The Solution: AgentHub**\n\nAgentHub lets you **simulate real-world environments** and **evaluate agents end-to-end** using structured tasks, traces, and grading:\n\n* 🧪 **Multi-domain, customizable environments for**: e-commerce, CRM, filesystem, browser agents, dashboards, and more\n* 🕵️ **Full tracing** in standardized OpenTelemetry format: capture every LLM/tool call, decision point, and UI step\n* 📊 Evaluation that’s easy to plug and play: LLM, human-in-the-loop, and rule-based grading + custom metrics at the task, step, or tool level\n* 🛠️ **Debug and iterate fast**: See exactly where agents fail, and improve reasoning or control loops\n* 🧠 **Automated Insights**: Get automatic insights into failure modes and auto-generate suggested fixes\n\nWhether you’re testing autonomous workflows, tool-using copilots, or browser agents, we give you a **sandboxed, realistic playground** to evaluate in before you ship.\n\n---\n\n![uploaded image](/media/?type=post&id=92664&key=user_uploads/1435098/a2b71d28-7310-4423-ac4d-1c717f244af4)\n\n### **🕵️ Who We Are**\n\nYoussef was previously a tech lead on the Foundation Model Evaluation team at Apple and studied CS at CMU.\n\nSandra has been an engineer at multiple startups, Google, and Meta, and studied CS and design at MIT.\n\nWe’ve been friends since a few years ago through a summer spent in Seattle and are obsessed with building the missing critical infrastructure to help teams **evaluate, debug, and trust** their agents.\n\n---\n\n### **🙌 How to Help / Get Involved**\n\n* Learn more and book a demo: [AgentHubLabs.com](http://AgentHubLabs.com)\n* We’re looking for teams and labs working on agents in:\n  * tool-use\n  * browser automation\n  * conversational chat\n  * and computer-use\n* Have an eval challenge? We’ll help you simulate it.\n* Use agents in prod? It’d be bananas to not test them on AgentHub first 🍌\n\n![uploaded image](/media/?type=post&id=92664&key=user_uploads/89898/9cf2b39b-039e-45a4-b4a6-969310c4378e)\n\n",
        "url": "https://www.ycombinator.com/launches/O6a-agenthub-the-staging-environment-for-your-ai-agents",
        "votes": 29,
        "created_at": "2025-08-02T13:40:37.564Z"
      }
    ]
  },
  {
    "id": 30672,
    "name": "Induction Labs",
    "slug": "induction-labs",
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        "id": 107033,
        "title": "Induction Labs - foundation models that learn from observation",
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        "body": "**TL;DR: We're Induction Labs, and today we're announcing research we've been working on: imagination models, a foundation model architecture that unlocks scalable learning from internet video. Our first model, Photon-1, beats a production LLM on internal computer use benchmarks with 30x less training compute, at 3x lower serving cost. \\[[Main Article](https://inductionlabs.com/news/scaling-video-pretraining)\\]**\n\n![uploaded image](/media/?type=post&id=107033&key=user_uploads/2757445/94f0365c-7de2-4792-ad4e-a8362f27c233)\n\nInternet video contains millions of hours of people using computers, doing skilled work, and interacting with the world.\n\nImagination models can scalably learn from this video to get better at completing tasks and understanding the world.\n\nWe tested the architecture with Photon-1, a 106B-A5B MoE transformer pretrained on 18 years of computer screen recordings.\n\n**Some Results:**\n\n* **Outperforms a production LLM (Gemini 3.1 Flash-Lite) on our internal computer use benchmarks**, with 30x less pretraining compute and 3x cheaper inference.\n\n![uploaded image](/media/?type=post&id=107033&key=user_uploads/2757445/7e217b7a-bbf0-40b0-a160-94855bbf7e90)\n\n* **Simulates full desktop sessions from a single screenshot**: it can imagine VS Code, Gmail, and ChatGPT frame by frame\n* **Generalizes beyond computers**: finetuned, it learns checkers and simulates billiard physics better than LLM baselines.\n* **Picks up human behavior from video**, like reprompting ChatGPT until it gets what it wants.\n* [**Demos here**](https://inductionlabs.com/news/scaling-video-pretraining)\n\nWe see imagination models as a path to intelligence that learns by observing the world directly, without a human first translating it into text. \n\n**Our Ask**\n\nWe’re working to scale this method to more kinds of video and looking for exceptional people to work with us! If you’re an exceptional thinker, engineer, or researcher (or know anyone who would be a great fit) - shoot us a message at [team@inductionlabs.com](mailto:team@inductionlabs.com)",
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        "full_name": "Noah Pacik-Nelson",
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        "experience": "3+ years",
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      {
        "id": 92063,
        "title": "BootLoop - AI Agent for Firmware & Embedded Software",
        "tagline": "AI that writes, tests, and debugs firmware on real hardware in minutes.",
        "body": "## **TL;DR**\n\nAll modern hardware needs firmware but it’s expensive, time-consuming and bugs in the field can lead to multi-million dollar recalls. BootLoop is building an AI agent to deliver custom firmware, fully tested on your hardware, in minutes not months. Our team built the firmware for SpaceX’s Raptor engine from first fire to flight, made brain-computer interfaces at MIT, and is _embedding_ that experience into our agent.\n\n**Ask:** Are you building hardware or do you know someone who is? Email us at [founders@bootloop.ai](mailto:founders@bootloop.ai) to be added to our pilot program. See below for details.\n\nhttps://www.youtube.com/watch?v=GBI1fkx5Bss\n\n## **❌ The Problem**\n\nAll modern hardware needs firmware, but writing firmware is hard. It’s difficult to debug and tricky to validate and chip datasheets can reach upwards of 3000 pages. On top of that, there’s a shortage of qualified firmware engineers. As hardware gets more complex, the time and cost to write firmware for it goes up exponentially.\n\n**The problems are staggering:**\n\n* The hardware world is **incredibly fractured** - over 65 different major manufacturers, producing over 80,000 unique chips, each of which has different software stacks, different frameworks, and different capabilities\n* Modern hardware requires sophisticated networking stacks, power optimization, and advanced security, driving up complexity\n* Firmware engineers are hard to find - **you can't major in firmware engineering** - and even the most attractive engineering companies take up to **6 months to find a qualified engineer**\n\n## **🤖 Our Solution**\n\nWe’re building an AI agent specifically for firmware and embedded software development, with the context and tooling needed to write low-level code and validate it on hardware in real-time.\n\n**Key capabilities of our Agent:**\n\n* **Deep hardware understanding:** Ingests your documentation, datasheets, schematics, system diagrams, existing codebases, and more…\n* **Hardware interaction:** Talks directly with your boards and test equipment like oscilloscopes, logic analyzers, and hardware debuggers\n* **Real testing:** Validates code on actual hardware or in simulation\n* **Framework expertise:** Writes in your language and style using your preferred embedded frameworks and proprietary libraries\n* **ITAR compliance:** The first ITAR-capable coding agent, opening massive aerospace and defense markets\n\n**Pilot program:** Our team will work with you as forward-deployed engineers on a specific firmware problem. We’ll use our agent internally to deliver aerospace-grade code FAST, with a human validating every line. After the pilot, we’ll deploy your custom version of the BootLoop agent for your future firmware needs.\n\n## **👥 The Team**\n\n**Chris Markus (CTO)** - Former **lead software engineer for SpaceX's Starship booster catch system**. He also built SpaceX’s **Raptor engine firmware from first fire to flight**. Before SpaceX, he was a visiting researcher at MIT Media Lab designing EEG electronics and firmware lead for an FDA-authorized ventilator.\n\n**Noah Pacik-Nelson (CEO)** - Formerly at Accenture’s AI Refinery, he **built agents for Fortune 500 companies**. Prior, he researched neuromorphic computing and ultra-low power edge AI at Accenture Labs. He has **patents and papers across AI adaptation, digital signal processing, and energy harvesting** and was a visiting researcher at the MIT Media Lab, building brain-computer interfaces for ALS patients.\n\n## **🙏 Our Ask**\n\n**If you're building hardware (or know someone who is), we'd love to add you to our pilot program.** Email us at [founders@bootloop.ai](mailto:founders@bootloop.ai) to get on the list.\n\nDuring the pilot, we’ll create your firmware FAST, using the BootLoop agent internally while reviewing every line by hand to ensure it meets our rigorous standards.\n\n**Currently Onboarding:**\n\n* Deep tech companies\n* Aerospace & defense contractors\n* Medical device manufacturers\n* Robotics companies\n* IoT hardware developers\n\n![uploaded image](/media/?type=post&id=92063&key=user_uploads/2669426/4b1f40ab-f41d-4013-bdd5-a557a8faf4a3)\n\n",
        "url": "https://www.ycombinator.com/launches/Nwt-bootloop-ai-agent-for-firmware-embedded-software",
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        "created_at": "2025-07-11T14:54:46.832Z"
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        "full_name": "Divam Gupta",
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        "founder_bio": "Packing intelligence in super-tiny AI models. \n",
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        "body": "[Launch Video](https://www.youtube.com/watch?v=aUoLxgi5hQA)\\\n\\\n**The problem:**\\\nExisting foundation models are so large that they need an insane amount of compute and memory, making them inaccessible for edge devices like smartphones, laptops, robots and other embedded systems. \\\n\\\n**What we do:**\\\nWe are training state-of-the-art tiny models designed specially to run on these devices without compromising on quality. Our first model is KittenTTS 😻 , which is a tiny open-source text-to-speech model that is under 25MB in size. It got 8K Github stars and 45K model downloads within 2 weeks of launch. At Stellon Labs, we are building tiny frontier models for Speech, Language and Video intelligence to power every single device in the world.\\\n\\\n**Our ask:**\\\nWe would like to connect with developers or companies( both software and hardware) that are interested in running AI models locally. We are happy to provide support for custom models, training and deployments across different applications.\\\n\\\n**Our links:**\\\nGithub - https://github.com/KittenML/KittenTTS (pls star ^^)\\\nWebsite - [https://stellonlabs.com](https://stellonlabs.com/)\\\nEmail - [info@stellonlabs.com](mailto:info@stellonlabs.com)",
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        "full_name": "Sayan Bhatia",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Kalinda. Prev. AI research at LUKA Lab. Co-founded and scaled a STEM non-profit to 7000 students worldwide. On a mission to deliver justice faster and for more in the fight against corporate negligence. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sayanbhatia/",
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        "id": 87871,
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        "salary_range": "$125K - $200K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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      {
        "id": 93158,
        "title": "Kalinda - Deep Research for Class Action Lawyers",
        "tagline": "Kalinda helps class action law firms qualify potential cases in minutes with AI ",
        "body": "**TL;DR:** Kalinda helps class action law firms qualify potential cases in minutes with AI — giving plaintiff law firms the equivalent manpower of thousands of paralegals and legal nurses. \n\nHey YC! We’re [Sayan](https://www.linkedin.com/in/sayanbhatia/) and [Sohil](https://www.linkedin.com/in/sohilbhatia/). We’re brothers and the co-founders of Kalinda.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n**The Problem:**\n\n* Millions of people every year join class action and mass tort lawsuits, hoping for justice and compensation. \n* For the law firm, this means verifying proof of usage and liability for each person—information often buried across thousands of pages of medical, pharmaceutical, and product records. \n* This compounds to several months of work for law firms just to determine who qualifies and who doesn’t.\n\n**Our Solution:**\n\nhttps://www.youtube.com/watch?v=EaPmwze4G18\n\nKalinda…\n\n* **Extracts** proof of use, proof of injury, and other critical data points\n* **Aggregates** and correlates this data against lawsuit criteria\n* **Generates** a single report so plaintiff attorneys instantly know if a case is valid to file\n\nAll while doing this for each case, _working tirelessly and in parallel_. \n\nWhen scaled across an entire litigation this turns a process that once took months into just a few hours.\n\nAs the lawsuit progresses and criteria change, we also help attorneys filter, categorize, and score to surface their strongest cases.\n\n**Where we’re at:**  To date, we’ve processed 600k pages of records and are live with 2 of the largest plaintiff law firms in the U.S!\n\n**The Why & The Vision:**\n\nThe plaintiff side of class actions and mass torts have struggled for decades now with what’s often called the [“Field of Dreams” problem](https://texaslawreview.org/multidistrict-litigation-and-the-field-of-dreams/). Thousands of clients sign up for a lawsuit looking for restitution - only to leave the law firm buried in records, missing deadlines, and filing bad cases. When courts throw out these bad cases, it weakens the plaintiff side’s leverage in settlement negotiations.\n\nWith Kalinda, class action & mass tort law firms can now file valid cases faster and file more of them — fundamentally changing for the first time in 172 years not only how many people can get justice against corporate negligence, but how fast it’s delivered.\n\n**The Team:**\n\n![uploaded image](/media/?type=post&id=93158&key=user_uploads/2232317/204e2640-94bc-464d-b0da-40f257ffc8d8)\n\n* **Sayan (Co-founder & CEO) -** did AI research at UC Davis’s LUKA Lab in instruction tuning optimization. \n* **Sohil (Co-founder & CTO) -** did AI research at Pacific Northwest National Lab\n\nWe’ve been collaborators together since Day 1 and even co-founded and scaled a STEM non-profit together to 7000 students worldwide.\n\n**Our Ask:**\n\nIf you either have \n\n1. Been a part of a class action or mass tort in the past\n2. Know a friend or family who’s been a part of a class action or mass tort \n3. Know any attorneys, paralegals, associates at class action/mass tort law firms.\n\nReach out at [founders@kalinda.ai](mailto:founders@kalinda.ai). We would love to chat!",
        "url": "https://www.ycombinator.com/launches/OEY-kalinda-deep-research-for-class-action-lawyers",
        "votes": 13,
        "created_at": "2025-08-19T18:41:06.695Z"
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        "full_name": "Carter Pry",
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    "long_description": "Datasets and environments to help healthcare agents succeed at complex tasks.",
    "one_liner": "Building medical school for AI Agents",
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    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1754166755,
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        "full_name": "Larissa Tyagi",
        "title": "Founder/CEO",
        "founder_bio": "My edge as a founder is technical sales — I'm deeply technical and equally personable. I drove us to final-stage negotiations with NBA teams for injury-prevention software within 3 months of starting Louiza.\n\nEx-Apple Software Engineer, Carnegie Mellon Graduate, Nationally Ranked ballroom dancer, and Competitive Golfer now building Louiza. \n\n",
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    "website": "https://doe.so/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Doe is where AI agents actually do your work. Connect your tools, tell Doe what you need, and agents handle it. When you want to do something yourself, Doe makes you faster and smarter. The boring stuff disappears. Everything else gets better.",
    "one_liner": "The boring stuff, handled. Everything else, supercharged.",
    "team_size": 2,
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    "city": "San Francisco",
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        "full_name": "Adrian Barbir",
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        "founder_bio": "Founder & CEO of Doe",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adrianbarbir",
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      {
        "user_id": 1331360,
        "full_name": "Richard Ou",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO of Doe, prev. Vapi, Wordware, second-time founder, youngest board advisor on Penn's Center for AI, Physics & CS",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yuhuangou",
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        "id": 96000,
        "title": "Doe: A new productivity platform",
        "tagline": "Doe is where AI agents actually do your work. Connect your tools, tell Doe what you need, and agents handle it. When you want to do something yourself, Doe makes you faster and smarter. The boring stuff disappears. Everything else gets better.",
        "body": "Hey everyone, we're [Adrian](https://x.com/AdrianBarbir) and [Richard](https://x.com/YuhuangOu). We've been building Doe for the past few months.\n\n**TL;DR**\n\nDoe is an action engine for work. You connect your tools, tell it what you need, and agents go do it. Not chat. Actual execution: pull data, update records, send messages, run workflows across your systems. When you do things yourself, like modifying spreadsheets or writing an email, agents work alongside you.\n\n![uploaded image](/media/?type=post&id=96000&key=user_uploads/1867926/622bda3c-17da-4c86-b127-9e495e250a54)\n\n\\\nhttps://doe.so\n\n**What we're building toward**\n\nKnowledge working is changing as you read this post. Not \"AI answers your questions\" change. More like: you wake up and agents have already reconciled your expenses, flagged at-risk deals, and drafted the weekly update. You review, adjust, and move on. The tedious stuff happened while you slept.\n\nWhen you do want to dig in or do stuff yourself, you're augmented with sets of tools. A good example is cursor’s tab/autocomplete. Your work platform has context and every action you take is faster because of what's running in the background.\n\n![uploaded image](/media/?type=post&id=96000&key=user_uploads/1867926/23d9a617-3216-4243-8198-3f6a8ae8e52d)\n\nThat's the vision. A workspace where agents do work and humans get augmented.\\\n\\\n**What you can do today**\n\n1. **Ask anything about your data.** No SQL. No dashboards. Just ask.\n2. **Get boring work done.** Agents update your CRM, send Slack messages, create Linear tickets, pull reports, and create financial models. You watch in the preview pane and step in when you want.\n3. **Set up Loops.** Agents that run on a schedule. Daily pipeline reviews. Weekly reconciliation. Continuous monitoring. Set it once.\\\n   \\\n   We like having Doe go through our linear + github to create a performance review each day :)\n\n**Enterprise stuff**\n\nSOC 2 Type II. HIPAA-ready. Zero data retention with LLM providers. SSO, SCIM, audit logging.\n\n**Our asks**\n\n**Try it:** [doe.so](http://doe.so) - it’s free\n\n**Tell us what's broken:** We're building fast and want to know what doesn't work\n\n**Intros:** If you know ops, sales, or finance folks, we'd love to meet them. We think this can be a cursor",
        "url": "https://www.ycombinator.com/launches/OyO-doe-a-new-productivity-platform",
        "votes": 20,
        "created_at": "2025-12-04T22:23:34.811Z"
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    "website": "https://www.trace.so/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Trace is a workflow orchestration platform that gives agents shared context across systems and lets teams build visual processes combining AI and humans. It automatically identifies which tasks can be AI-automated and which need human input, so non-technical teams build and run workflows without engineering involvement.",
    "one_liner": "Context-aware orchestration between humans and AI.",
    "team_size": 3,
    "industry": "B2B",
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    "launched_at": 1754919932,
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    "city": "London",
    "country": "GB",
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        "full_name": "Tim Cherkasov",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Trace. Former product manager at Copper, a digital asset custodian, where he delivered an institutional offering for State Street. Fintech background across hedge funds and scaleups as a data scientist. Built startups since 17 in retail tech, travel, and web3.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/timcherkasov",
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      {
        "user_id": 1620833,
        "full_name": "Artur Romanov",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Trace. Former senior engineer at Deliveroo who built the grocery data-enrichment ML pipeline (millions of items, thousands of retailers). Multi-time founder; led backends in logistics and finance, and deployed workflow automation across engineering and ops.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/artur-romanov",
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        "title": "Trace raises $3M to solve the AI agent adoption problem in enterprise | TechCrunch",
        "url": "https://techcrunch.com/2026/02/26/trace-raises-3-million-to-solve-the-agent-adoption-problem/",
        "date": "Feb 25, 2026"
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      {
        "id": 92892,
        "title": "Trace 👾 Route repetitive tasks to AI agents",
        "tagline": "Trace helps teams map existing workflows and automate repetitive tasks using AI agents",
        "body": "Hey everyone 👋\n\nWe’re [Tim](https://www.linkedin.com/in/timcherkasov/) and [Artur](https://www.linkedin.com/in/artur-romanov/) – co-founders of [Trace](https://www.trace.so/).\n\n**📙 TL;DR**\n\nTrace is a workflow automation platform that routes tasks to the right agent – human or AI.\n\nBy connecting to tools like Slack, Jira, and Notion, Trace breaks down existing workflows, spots automation opportunities, and embeds AI agents to handle repetitive tasks – without disrupting how your team works. More than 30 companies already use Trace to automate gruntwork.\n\n**Ask**: If you’re currently working in operations, product, or support teams, we’d love to talk. Email us at [founders@trace.so](mailto:founders@trace.so) ‼️\n\nhttps://youtu.be/RfJerH9r2-8\n\n**❌ The Problem**\n\nMost teams lose ≈ 40% of their productivity on repetitive manual tasks. \n\nRoutine work like chasing updates, filling docs, coordinating teams, and handling support drains hours, breaks focus, and slows execution.\n\nMeanwhile, employees aren’t sure which tasks can be automated, which agents to use, or which tools to trust – problems made worse by fragmented data and lost context.\n\nEven worse, most AI tools work alone, disconnected from both teams and the people using them.\n\n✅ **Our Solution** \n\nTrace is an AI-native workspace that breaks down existing workflows, assigns repetitive tasks to AI agents, and routes the rest to the right people.\n\nWith Trace, AI works across your entire team – passing tasks between agents and people without disrupting operations.\n\nIt respects permissions, learns from past and ongoing work, tracks progress with a full audit trail, and lets you review, edit, or reroute tasks in a simple interface.\n\n**Connect and Prompt Away**\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/794551f2-0e27-4ccf-a406-326622b90d15)\n\n**Create, Curate and Replicate**\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/75f7fd26-b38a-4420-b7dc-1a7fe5bea7e6)\n\n**Route and Execute**\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/4490fdd4-1ff7-47dc-887b-cab413a3b51c)\n\n**🦄 How It Works**\n\nHow? – Through a company wide context engine!\n\nBy integrating with your systems, our context engine analyzes your internal wiki, activity logs, and people data to understand your team’s work.\n\nTrace then builds a unified index of your company and provides rich context for every new workflow, making it easy to route tasks between people and AI agents.\n\nWe’re on a mission to build CompanyOS – a cognitive layer that ingests internal signals and drives intelligent action across every team.\n\n**🙏 Our Ask**\n\nReady to ditch the busywork? – Please try [demo.trace.so](http://demo.trace.so) for free and tell us which workflows you’ve tried to automate.\n\nIf your team is suffering from repetitive manual workflows, or you work in operations, product, or support roles, we’d love to talk.\n\nEmail us [📨 founders@trace.so](mailto:%F0%9F%93%A8founders@trace.so) or [book a call](https://calendly.com/trace_so/20min) ☎️\n\n**👥 The Team**\n\nTim and Artur met at university and have worked together on countless projects, papers and startups over the last 10 years.\n\nTim (CEO) – Former product manager at Copper, a digital asset custodian, where he delivered an institutional offering for State Street. Fintech background across hedge funds and scaleups as a data scientist. Built startups since 17 in retail tech, travel, and web3.\n\nArtur (CTO) – Former senior engineer at Deliveroo who built the grocery data-enrichment ML pipeline (millions of items, thousands of retailers). Multi-time founder; led backends in logistics and finance, and deployed workflow automation across engineering and ops.\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/b774ddc3-03f9-4008-b443-bef97237826e)\n\nps: Thank you for taking the time to read this and show your support ❤️\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/457742b1-bb72-48ff-9d4c-029b6bc8b033)\n\n",
        "url": "https://www.ycombinator.com/launches/OAG-trace-route-repetitive-tasks-to-ai-agents",
        "votes": 1038,
        "created_at": "2025-08-11T19:45:04.234Z"
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    "name": "Fulcrum",
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        "full_name": "Jiehua Wu",
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        "full_name": "Almo Sutedjo",
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        "title": "Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/comena/jobs/awYQAOJ-fullstack-engineer",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
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        "role_type": "Full stack",
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        "title": "Comena — AI agents that automate order processing for distributors and manufacturers",
        "tagline": "Automated order entry - from inbox to ERP",
        "body": "👋 Hello!\n\nWe’re Jiehua and Almo, co-founders of **Comena**. We've been building things together since middle school and this time, we’re automating one of the most painful processes in B2B supply chains.\n\n---\n\n### 🧠 TL;DR\n\n\\*\\*Comena automates order entry from inbox to ERP for distributors and manufacturers.\\*\\*\\\nNo more manual data entry. No more wasted time. Our AI reads purchase orders from emails or PDFs, extracts key info, matches products to SKUs, and sends the order to your ERP — with (or even without) human-in-the-loop review.\\\n**Sales teams save 75-99% of time spent on order processing.**\n\n---\n\n### 😩 The Problem\n\nIn industrial supply chains (fasteners, parts, MRO, etc.), every order and inquiry is still typed manually into an ERP.\n\nHere’s how it looks today:\n\n1. A distributor or manufacturer receives a PO via email\n2. A sales rep opens a PDF attachment\n3. They manually type the content of the e-mail/PDF into the ERP\n4. Then it goes to fulfillment\n\nThis process is repeated **every single day** and eats up to **50% of inside sales teams’ time** — time that could be spent on proactive selling and customer relationships.\n\n---\n\n### ⚙️ Our Solution\n\nhttps://youtu.be/yoii7pgK1GY\n\nWe built an AI-powered order processing agent that automates this end-to-end:\n\n✅ Forward any PO or RFQ to Comena\\\n✅ Our AI extracts header data, product descriptions, quantities, pricing, etc.\\\n✅ Matches the items to your product number (even from messy free-text)\\\n✅ Sales rep quickly reviews the output\\\n✅ Sends it to the ERP with 1 click\n\nWe support PDFs, Excel sheets, RFQs, email bodies — and integrate seamlessly with ERPs. If your ERP supports EDI, even better: Comena plugs right in.\n\n---\n\n---\n\n### 👬 About Us\n\nWe’ve been friends for over 10 years — building robots together and winning awards at robotics world championships when we were younger.\n\n* **Jiehua (CEO)** was the youngest software engineer at Google Switzerland, a PM at Pina Earth (YC W22), and first hire at procurement startup askLio (YC S23).\n* **Almo (CTO)** was the first hire at Leaping AI (YC W25), and worked at Amazon AWS, HubSpot, and Microsoft, integrating OpenAI into Azure.\n\n---\n\n### 🙏 Our Ask\n\nIf you know anyone who fits the below, we’d **love an intro**:\\\n• Distributors or manufacturers processing lots of POs\\\n• Companies in industrial, MRO, or parts supply\\\n• Sales or ops leaders frustrated by manual order workflows\n\nOr just reach out if you’re curious — we’d love to show you the product.\n\n📧 [jiehua.wu@comena.ai](mailto:jiehua@comena.ai)\\\n💻 [https://www.comena.ai](https://comena.ai)\n\nLet’s automate manual order entry together!\\\n– Jiehua & Almo\n\n![uploaded image](/media/?type=post&id=92472&key=user_uploads/1188611/8acc3123-8a3a-4461-aec2-6a0acffeebf4)\n\n",
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        "full_name": "Alessia Paccagnella",
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        "full_name": "Elia Saquand",
        "title": "Founder",
        "founder_bio": "Co-founder of VibeFlow (S25). Prev. Founding Engineer at a VC-backed startup building prompt-to-graph tools for non-technical users. Research in Clinical AI at Stanford, built high-speed perception systems at Sony AI, and accelerated AlphaFold training by 10x at InstaDeep while maintaining 95% accuracy (NeurIPS ‘22). MSc in Data Science from ETH Zürich. ",
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        "url": "https://aiworld.eu/story/vibeflow-secures-500k-pre-seed-funding-for-full-stack-app-platform",
        "date": "Sep 20, 2025"
      },
      {
        "title": "Turning Vibe Coding into Production-Ready Development: Inside Elia Saquand and Alessia Paccagnella's Journey to build VibeFlow",
        "url": "https://www.every.io/blog-post/turning-vibe-coding-into-production-ready-development-inside-elia-saquand-and-alessia-paccagnellas-journey-to-build-vibeflow",
        "date": "Sep 19, 2025"
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        "title": "6 Exciting AI Vibe Coding Tools From YC Demo Day Summer 2025 Startups - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-summer-vibe-coding-ai-startups-2025-9",
        "date": "Sep 17, 2025"
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      {
        "title": "The Most Promising Startups To Watch From YC Summer 2025 Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/09/04/the-most-promising-startups-to-watch-from-yc-summer-2025-batch/",
        "date": "Sep 03, 2025"
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      {
        "id": 92712,
        "title": "VibeFlow: Full-stack prompt to app with visual workflows",
        "tagline": "We help no-coders build and reliably evolve full-stack web apps from prompts by making backend logic visual and maintainable.",
        "body": "**TL;DR**\n\nWe are Lovable, but better because the backends we generate actually work and are easy to debug and evolve.\n\nhttps://youtu.be/bjpR5A-Ib6k\n\n## Who We Are\n\nWe're Alessia and Elia, Computer Science and Data Science graduates from Stanford and ETH Zürich. We've spent years as full-stack engineers building no-code tools that empower non-technical users to create complex systems. Now we're using that experience to help anyone become a full-stack developer through AI.\n\n## The Problem\n\nPrompt-to-app tools like Lovable are incredible at generating beautiful frontends, but they completely fall apart when you need real business logic, integrations, or debugging capabilities.\n\nHere's what every developer using these tools faces:\n\n* **Black box backends:** you can't see or understand what the AI actually built for your server-side logic\n* **Debugging nightmare:** when something breaks, you're stuck re-prompting the LLM and hoping it magically fixes the issue\n* **Integration hell:** you're forced to manually stitch together Lovable + n8n + Supabase + other tools, creating fragile workflows that break easily and are painful to maintain\n\nThis affects thousands of developers who want to build real applications but get stuck when they move beyond simple prototypes.\n\n## Our Solution\n\nVibeFlow transforms prompts into full-stack applications where every single component, frontend AND backend, is visible, understandable, and editable.\n\n### How it works:\n\n* **Visual Backend Editor:** See and edit your app's backend logic like you'd design a UI in Figma. You can edit visually or continue using prompts.\n* **Transparent AI Generation:** Unlike other tools, you can see and understand what the AI built, making debugging straightforward\n* **Powerful Integrations:** Built-in database and prewired service connections, no external tools required.\n* **All-in-One Platform:** Build, debug, deploy, and maintain everything in one cohesive environment\n\n## How We Got Here\n\nWe saw builders doing hacky workarounds, connecting n8n and Supabase to power Lovable frontends, creating Frankenstein apps where they didn't even own half the pieces. People were desperate for backend control but stuck with fragmented solutions.\n\n### Get in Touch\n\n* **Build your full-stack app with VibeFlow**: https://app.vibeflow.ai/\n* **Join our Discord**: https://discord.com/invite/Ctm2A2uEaq\n* **Book a 15-min call**: https://vibeflow.cal.com/founders/15min (we'll help you build something cool!)\n* **Newsletter**: https://vibeflow.ai\n\nReady to build full-stack apps that actually work? Try VibeFlow today and see the difference transparent AI development makes!\n\n![uploaded image](/media/?type=post&id=92712&key=user_uploads/1842260/003016ef-0945-43c2-a200-0dbc7bf703a4)\n\n",
        "url": "https://www.ycombinator.com/launches/O7M-vibeflow-full-stack-prompt-to-app-with-visual-workflows",
        "votes": 70,
        "created_at": "2025-08-04T19:05:49.267Z"
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    "id": 30701,
    "name": "Mimos",
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    "website": "https://www.trymimos.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Plaintiff-side law firms compete in some of the most expensive search ad markets to acquire high-intent leads, but the path from click, call, or form fill to signed retainer is still fragmented. Disconnected intake workflows, slow response times, and disconnected spend-to-case data makes it hard to know what is actually working.\r\n\r\nMimos automates their growth and intake playbook:\r\n1. Generate Qualified Leads: Our agents manage Google Ads, Local Services Ads, Google Business Profile, and other high-intent acquisition channels.\r\n2. Convert Faster: Every lead flows into a CRM built for intake, triage, follow-up, and handoff from inquiry to signed retainer.\r\n3. Close the Loop: We connect spend, lead source, intake actions, and signed-case outcomes so firms know what to scale, pause, or fix.\r\n\r\nThe result: more qualified leads, less wasted spend, and more signed cases.",
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        "full_name": "Rohit Sirosh",
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      {
        "id": 93031,
        "title": "Mimos - Answer Engine Optimization for regulated companies",
        "tagline": "With compliance at our core, we help you rank in AI search",
        "body": "Hey everyone! We’re Rohit and Michael, co-founders of Mimos. We’ve been building together since sixth grade—everything from mobile apps to algorithmic trading systems—and now we’re turning compliance into an advantage in the age of AI.\n\nhttps://youtu.be/McIKklZ0xHI\n\n**The Problem:**\n\nAI answer engines (ChatGPT, Perplexity, Gemini) are replacing Google for high-value questions on health, wealth, and legal. Whoever they cite becomes the voice customers trust.\n\nRegulated firms should dominate this shift — they already have **compliance** as verifiable proof of authority. But that advantage is trapped behind a unique structural dynamic:\n\n* **Marketing** needs to move quickly to publish relevant, expert answers.\n* **Compliance** must carefully review every word to ensure regulatory safety.\n\nThis friction results in a drawn out publishing cycle, resulting in missed opportunity to rank in AI search.\n\n**Our Solution:**\n\nMimos makes it easy for regulated firms to get cited in AI answers by streamlining the path from insight to compliant content.\n\n* **Define your audience** — Capture your brand expertise and ICPs to guide tone, examples, and disclosures.\n* **Find the right questions** — Track the exact high-intent prompts your prospects ask AI using trend and citation data.\n* **See where you stand** — Monitor visibility by engine, track competitor citations, and measure share of voice.\n* **Act on opportunities** — Get prioritized recommendations for content, SEO, and distribution.\n* **Create faster** — Generate first drafts aligned to your brand and compliance needs.\n* **Speed up review** — Package answers with disclosures and claim checks so compliance can approve faster.\n\n**Result:** Insight → content → review → AI visibility — in minutes, not weeks. \n\n**Our Traction:**\n\n* Signed **5 paying customers** across finance, proptech, and wealth management within one month of launch.\n* Building an **active pipeline** in health, investing, proptech, and marketing.\n* Early usage already delivering **2× higher AI citation rates** compared to baseline content.\n\n**Our Team:**\n\n* **Michael (Co-Founder & CTO)** — Led the launch and integration of AI into Amazon Alexa devices, architected petabyte-scale data infrastructure at Coinbase, and built consumer websites/mobile apps reaching thousands of users. Brings deep expertise in AI, large-scale infrastructure, and online trust.\n* **Rohit (Co-Founder & CEO)** — Designed Azure’s high-throughput storage and auto-scaling infrastructure, working with OpenAI to support their training workloads. Brings experience in building and scaling complex cloud systems for high-demand, mission-critical applications.\n\nTogether, our backgrounds in high-performance infrastructure and AI underpin Mimos’s mission: helping regulated firms attract clients by enhancing their online visibility in the age of AI.\n\n**Our Ask:**\n\nWarm intros to Chief Marketing/Growth Officers or fractional CMOs at:\n\n* **Finance** (esp. wealth managers managing $300M+ AUM)\n* **Pharma / Biotech**\n* **Legal**\n* **Telehealth**\n\nAn email to [rohit@mimos-ai.com](mailto:rohit@mimos-ai.com) would be greatly appreciated!",
        "url": "https://www.ycombinator.com/launches/OCV-mimos-answer-engine-optimization-for-regulated-companies",
        "votes": 21,
        "created_at": "2025-08-15T18:06:54.517Z"
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    "id": 30710,
    "name": "Manufact",
    "slug": "manufact",
    "former_names": [
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    "website": "https://manufact.com",
    "all_locations": "ZH, Switzerland",
    "long_description": "Manufact is the MCP cloud platform to get your product ready for Claude Connectors marketplace, ChatGPT / Codex plugins store and any AI agent that supports MCP.\r\nWe're the team behind mcp-use SDK, the open-source framework for building MCP Apps with 10k github stars and 10M+ downloads across python and typescript.\r\n\r\nIt's the fastest and most complete solution for production-ready MCP servers.",
    "one_liner": "Cloud infrastructure for MCP servers and Claude / ChatGPT plugins.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1752861544,
    "tags": [
      "Developer Tools",
      "B2B",
      "Open Source",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "Switzerland",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/manufact",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/manufact.json",
    "year_founded": 2025,
    "city": null,
    "country": "CH",
    "linkedin_url": "https://www.linkedin.com/company/mcp-use/",
    "x_url": "https://x.com/manufact",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/mcp-use",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3838f80b214ed1fcda53a2778860e8be11cfdb0d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 909674,
        "full_name": "Pietro Zullo",
        "title": "Founder/CEO",
        "founder_bio": "Building Manufact (formerly mcp-use) (S25). ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pietrozullo",
        "x_url": "https://x.com/pietrozullo",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20b195400b407be674253b1353993e19ad6323b2.jpg"
      },
      {
        "user_id": 859771,
        "full_name": "Luigi Pederzani",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Manufact (fka mcp-use). \nPrev. Founding eng. @ Morgen (ETH spin-off AI startup used by teams at Spotify, GitHub, Linear, and Canva). \nLed a 12-engineer team to deliver $XXM projects @ Accenture Switzerland.\nMSc in Computer Science and Engineering from POLIMI (QS #1 IT, #5 EU, #13 World).\nFormer YouTube creator (150k subs, 15M+ views).\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luigipederzani",
        "x_url": "https://x.com/pederzh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/052187b02cbea99b02766098b2c86fcf33610ec4.jpg"
      }
    ],
    "jobs": [
      {
        "id": 97959,
        "title": "Developer Advocate & Partnerships (DevRel)",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/4cyWd6S-developer-advocate-partnerships-devrel",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 0.70%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97962,
        "title": "Senior Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/Dh6PYP5-senior-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$100K - $180K",
        "equity_range": "0.10% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Microsoft Azure",
          "Google Cloud",
          "TypeScript"
        ]
      },
      {
        "id": 107000,
        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/fWWRPrO-sales-development-representative-sdr",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $100K",
        "equity_range": "0.05% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107005,
        "title": "Founding Software Engineer (Product / MCP) ",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/ZyxwEJC-founding-software-engineer-product-mcp",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 116901,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/kp7OyFp-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Manufact raises $6.3M as MCP becomes the ‘USB-C for AI’ powering ChatGPT and Claude apps | VentureBeat",
        "url": "https://venturebeat.com/infrastructure/manufact-raises-usd6-3m-as-mcp-becomes-the-usb-c-for-ai-powering-chatgpt-and",
        "date": "Mar 11, 2026"
      },
      {
        "title": "Make Something Agents Want — Humans Are No Longer The Customer",
        "url": "https://www.forbes.com/sites/dariashunina/2026/03/11/make-something-agents-want---humans-are-no-longer-the-customer/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "The Most Promising Startups To Watch From YC Summer 2025 Batch: mcp-use",
        "url": "https://www.forbes.com/sites/dariashunina/2025/09/04/the-most-promising-startups-to-watch-from-yc-summer-2025-batch/",
        "date": "Sep 04, 2025"
      }
    ],
    "launches": [
      {
        "id": 107462,
        "title": "Manufact: MCP Cloud for your Claude Connector & ChatGPT Plugin",
        "tagline": "Get your product on Claude and ChatGPT and usable by AI Agents ",
        "body": "Hey everyone, we're the team behind [**mcp-use**](https://github.com/mcp-use/mcp-use), the open-source MCP framework with **10k GitHub stars** and **\\~10M+ downloads**.\n\n[**Manufact**](https://manufact.com/) is the cloud platform that gets your product onto the **Claude Connectors marketplace** and the **ChatGPT (Codex) Plugin Store** via MCP.\n\n<https://youtu.be/Pyh_3tKDXuU>\n\n## The problem\n\nPaul Graham recently tweeted: \"_AI apps are the new browsers_\". \\\nYour customers now do most of their work inside Claude and ChatGPT, and the connector marketplaces are a new distribution channel: someone installs your product in one click and uses it inside the chat they already live in.\n\nWe listed Manufact on Claude and saw a **surge of signups** that is still going on now.\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/65a0b3fd-75cf-4eea-a2ee-02590e3256ba)\n\nBut shipping a production-ready MCP server is its own project:\n\n* MCP is a protocol evolving fast .\n* Auth is easy to get [wrong](https://manufact.com/blog/authentication).\n* Every client behaves differently.\n* The stores have their own conformance requirements, and review can block you for weeks.\n\n## How Manufact works\n\nManufact is the cloud built specifically for MCP:\n\n* **Push to deploy.** Connect the GitHub App once and [every commit ships a new version of your MCP server](https://manufact.com/platform/hosting), with a preview deployment for each PR.\n* **Test every MCP tool and MCP-UI widget** in the [cloud inspector](https://manufact.com/platform/cloud-inspector).\n* **Know the moment your MCP breaks** in ChatGPT or Claude with [automatic cross-client testing](https://manufact.com/platform/cross-client-testing).\n* [**Publishing checklists**](https://manufact.com/platform/publishing-checks) so your MCP app doesn't get stuck in marketplace review.\n* **Auto-generated submission assets** (logo, copy, screenshots).\n* **Analytics, session replay, and traces** built in for MCP, so you can see [how it's used and why tools fail](https://manufact.com/platform/analytics).\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/ee30e016-9fb5-4958-890f-74febc54de3c)\n\n## Your product's UI inside the chat\n\nA plain MCP server lets the agent read and write your data. \\\nAn **MCP App** goes further: it's an MCP server that can return a UI as the result of a tool call, so your actual product interface renders inside Claude or ChatGPT. The user sees your charts and forms instead of a wall of text.\n\nFerruccio Balestreri (Amplitude) [put it well](https://x.com/0xferruccio/status/2028966278971670979):\n\n> since mcp ui was released in claude we got a 2x boost in retention.\n\nWith the [mcp-use SDK](https://github.com/mcp-use/mcp-use) you write a normal React component, drop it in, and it registers as an MCP UI resource automatically.\n\n## Backstory\n\nWe've been building on MCP since the protocol shipped. It started with the mcp-use SDK, the full-stack framework for MCP servers and apps. We kept watching companies struggle to take those servers to production, so we built the cloud for it (mcp-use is to Manufact what Next.js is to Vercel).\n\nManufact is now the **#1 recommended deployment option in OpenAI's docs.** \n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/ddba2350-67c4-43d5-8150-30847d4375a2)\n\nWe've helped startups from recent YC batches like **AgentMail** and **Item** get onto the Claude Connectors marketplace, and larger companies in finance, insurance, and marketplaces run their MCP apps on Manufact in production.\n\n## Our asks\n\n1. Have an MCP server? **Deploy it on [Manufact](https://manufact.com/)**.\n2. Thinking about building an MCP App? [Copy our prompt for agents](https://manufact.com/prompt.md) and your coding agent will guide you.\n3. Trying to get listed on the marketplaces? [Book a call with us](https://cal.com/team/manufact/chat). We have publishing checks and direct contacts on the MCP teams at Anthropic and OpenAI.\n\nHope to see your MCP on [manufact.com](http://manufact.com), or that you at least learned something new. 🙂\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/685643a6-ecd5-42b4-b55f-ec394967ca57)\n\n",
        "url": "https://www.ycombinator.com/launches/RxG-manufact-mcp-cloud-for-your-claude-connector-chatgpt-plugin",
        "votes": 47,
        "created_at": "2026-07-28T14:55:15.055Z"
      },
      {
        "id": 92418,
        "title": "Manufact (mcp-use) - Build and deploy MCP Servers for AI Agents & MCP Apps for ChatGPT / Claude users",
        "tagline": "Create MCP servers/apps in minutes, connect your GitHub repo, and make them immediately available to AI agents and ChatGPT / Claude.",
        "body": "### **TL;DR**\n\n[Manufact](https://manufact.com) is the MCP cloud for dev teams to ship MCP Apps and Servers in production. Connect a GitHub repo and Manufact handles deployment, security, observability, and scaling, so teams can ship in minutes instead of weeks.\n\nOne codebase, deployed everywhere users and agents already live: the ChatGPT Apps Store, Claude Connectors, Gemini, Cursor, Claude Code, and more.\n\nWe're also the creators of [mcp-use SDK](https://github.com/mcp-use/mcp-use), the most popular high-level MCP framework for building MCP Apps and Servers.\\\n(mcp-use SDK is to the Model Context Protocol SDKs what Next.js is to React!)\n\nIt’s open-source and used by developers at 20% of US500 and companies like 6sense, Elastic, IBM, Innovacer, Intuit, NVIDIA, Oracle, Red Hat, Tavily, and Verizon are building with us.\n\n### **The ask**\n\nIf you're building MCP Apps or Servers, or you know someone who is, we'd love to talk.\n\n<https://cal.com/team/manufact/chat> \\\nor shoot a message to us: +1 (628) 899-2498 \\\nor [founders@manufact.com](mailto:founders@manufact.com)\n\n### **Our story**\n\nWhen MCP came out, we couldn't believe such a powerful protocol was locked into IDEs and Claude Desktop.\n\nSo we built mcp-use, the open source framework that lets any developer build MCP Apps and Servers in code, in a structured and composable way.\n\nIt got adopted fast: 7M+ downloads across Python and TypeScript, almost 10k GitHub stars, and dev teams at top companies shipping with it.\n\nBut OSS is only half the story. Once teams had something working, they hit the wall every infra team knows: deployment, auth, secrets, observability, scaling. Stitching that together for MCP is a multi-week project. That's what Manufact solves.\n\n### **Make something agents want**\n\nMCP unlocks something most products have never had access to before: real estate inside ChatGPT and Claude.\n\n800M+ users already spend their day in those chats. \\\nWith MCP, a product can show up there as a native app or connector, with no separate UI to build, no app to install, no new login flow. \\\nThe user just asks, and your product does the work.\n\n### **Problem**\n\nThe catch is that \"build once, ship everywhere\" is its own infra problem. ChatGPT Apps, Claude Connectors, Gemini, and the long tail of agent surfaces (Cursor, Claude Code, Codex, OpenAI Agents, Mastra, LangChain, Vercel AI SDK) each have their own quirks, auth flows, and submission requirements. Manufact lets you build one codebase and ship it to all of them.\n\n### **What Manufact does**\n\nConnect your MCP repo once. Every push auto-deploys.\n\n1. **Build:** Scaffold a full MCP App or Server with _npx create-mcp-use-app_ or drop in existing MCP code unchanged.\n2. **Deploy:** GitHub App connects once. Every push auto-deploys to Manufact Cloud. Preview URL per branch. Custom domains with SSL handled.\n3. **Publish.** Get your app in front of users in the ChatGPT Apps Store and Claude Connectors. Submission assets, marketplace checklists, and an embeddable chat widget for your own site, docs, or campaign pages.\n4. **Iterate.** Cloud Inspector debugs from any browser against real clients. Swap models. Run evals on every deploy.\n5. **Monitor.** Analytics, session replay, JSON-RPC traces, and alerts on regressions, so you catch issues before users do. Less than 60 seconds from _git push_ to a live MCP App or Server, available across ChatGPT, Claude, Gemini, and any agent surface that speaks MCP.\n\n### **Ask**\n\nDo you know anyone already using MCP servers internally or building products powered by AI agents?\n\nFor the first few companies we will personally create/integrate MCP servers you need, have everything running through our platform, either on cloud or your own infrastructure. We even help you integrate our SDK into your code.\n\nWhat do you think? Can we help you?\n\nBook a call: <https://cal.com/team/manufact/chat>\n\nShoot a message to us: +1 (628) 899-2498 or [founders@manufact.com](mailto:founders@manufact.com)",
        "url": "https://www.ycombinator.com/launches/O2c-manufact-mcp-use-build-and-deploy-mcp-servers-for-ai-agents-mcp-apps-for-chatgpt-claude-users",
        "votes": 85,
        "created_at": "2025-07-24T17:55:36.172Z"
      }
    ]
  },
  {
    "id": 30711,
    "name": "Char",
    "slug": "char",
    "former_names": [
      "Hyprnote"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca02a57c5f38896120f1fe6767d1975b6a6b522.png",
    "website": "https://char.com",
    "all_locations": "Seoul, Seoul, South Korea; Remote",
    "long_description": "Char is a daily notepad that finishes your todos for you. Type a checkbox, and an agent picks it up — researching, drafting, or scheduling on your behalf. Stay in command. Char does the work.",
    "one_liner": "The AI notepad that knows and works for you",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1755302445,
    "tags": [
      "SaaS",
      "Productivity",
      "Open Source",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "South Korea",
      "East Asia",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/char",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/char.json",
    "year_founded": 2023,
    "city": "Seoul",
    "country": "KR",
    "linkedin_url": "https://www.linkedin.com/company/charnotes",
    "x_url": "https://x.com/getcharnotes",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/fastrepl",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca02a57c5f38896120f1fe6767d1975b6a6b522.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c4470d243a167150cf9dc68c684d5223f7c8ee1d.png"
    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1166442,
        "full_name": "John Jeong",
        "title": "Founder/CEO",
        "founder_bio": "designing interfaces for humans and agents",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/johntopia",
        "x_url": "https://x.com/computeless",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea10a90642ece06e0d2532013e4753735870be0a.jpg"
      },
      {
        "user_id": 652833,
        "full_name": "Deokhaeng Lee",
        "title": "Founder",
        "founder_bio": "CS @ Duke \nFormerly founder @ Hyprnote (S25), engineering @ Carousel Technologies (W24) \n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dklee0127",
        "x_url": "https://x.com/duckduckhero",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62062010b3f111a712747148585d18b807b525df.jpg"
      },
      {
        "user_id": 1374655,
        "full_name": "Yujong Lee",
        "title": "Founder",
        "founder_bio": "OSS enthusiast. Check out my work at: https://github.com/yujonglee",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/yujong1ee",
        "x_url": "https://x.com/yujonglee",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/caf1a60577dd61bc87ba59b5b794090ec04fe0ed.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 93180,
        "title": "Hyprnote⚡️ Open-source AI notetaker for enterprises",
        "tagline": "We help teams craft personalized meeting notes while keeping full control of their data",
        "body": "### **TL;DR**\n\n[**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) is an [open-source](https://github.com/fastrepl/hyprnote) **AI notetaker for enterprises**. It transcribes and summarizes meetings while keeping 100% of data on-device or on-prem — so companies stay in control.\n\n<https://www.youtube.com/watch?v=x4TRi2WOR5s>\n\n### **Why Existing AI Notetakers Fail**\n\nEvery other tool ships your conversations off to 3rd party clouds. Enterprises banned them because they violated data sovereignty.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/15cd071d-825d-49a9-a1fe-b078d3e2f2b5)\n\n### **How Hyprnote Flips the Script**\n\n[**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) runs entirely on your laptop, server, or air-gapped network:\n\n* **Private by default**: not a single byte leaves your system, ever.\n* **AI-powered notes**: clear, actionable summaries.\n* **Enterprise-ready**: HIPAA, SOC2, ITAR, FedRAMP-friendly.\n* [**Open source**](https://github.com/fastrepl/hyprnote): transparent and extensible.\n* **Flexible deployment**: run it where you want.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/e9e59bd3-9993-4029-b8ab-de8bde4a1ea1)\n\n### **Why We Built This**\n\nWe saw enterprise employees stuck taking manual notes because “AI notetakers” weren’t actually enterprise-ready. [**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) exists so teams can finally use AI without giving up control of their data.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/df8a57c6-74fb-4f4f-a455-0091527206b6)\n\n### **What You Can Do**\n\n1/ Introduce us to **_VPs or Directors_** driving **_digital transformation_** in regulated industries.\n\n2/ Start using it **_FREE FOREVER_** — and spread the word.\n\n3/ Star us on [**GitHub**](https://github.com/fastrepl/hyprnote)!\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/2119f8f8-575f-4a5c-aa1c-295bfe57a15c)\n\n### **NEED an AI notetaker you can actually trust?**\n\n[**Try Hyprnote — where conversation stay yours**](http://hyprnote.com?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/a2e52475-b1e0-47de-8e1b-ba56959bdae5)\n\n",
        "url": "https://www.ycombinator.com/launches/OEu-hyprnote-open-source-ai-notetaker-for-enterprises",
        "votes": 58,
        "created_at": "2025-08-20T14:56:21.706Z"
      }
    ]
  },
  {
    "id": 30712,
    "name": "Relling",
    "slug": "relling",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e003594279b3a4474845b643ff2ee16c26f34a1a.png",
    "website": "https://relling.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "deploying the first billion robots for manufacturing",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1756070413,
    "tags": [
      "Robotics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/relling",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/relling.json",
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    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
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        "full_name": "Sean Conley",
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        "full_name": "Vishnu Sampathkumar",
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        "full_name": "Shiv Kampani",
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        "founder_bio": "Co-founder, CTO @ Autumn",
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        "location": "San Francisco, CA, US",
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        "experience": "Any (new grads ok)",
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        "url": "https://www.ycombinator.com/companies/autumn-ai/jobs/Zwr7HGy-search-lead",
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        "title": "Autumn AI: Stalk your prospects at scale.",
        "tagline": "Autumn is building the first real-time signal intelligence platform for GTM teams.",
        "body": "Hi, we’re Vishnu and Shiv, and we’re super excited to introduce Autumn! \n\n**Tl;dr.** GTM teams waste hours manually tracking prospects across the internet. Autumn gives you a live feed of your entire target universe, so you're always first to know and first to act.\n\n<https://youtu.be/v37JMhX8GVc>\n\n**The problem.** Your best prospects are already telling you when and how to sell to them through posts, tweets, commits, blogs. These signals are valuable but decay fast. To catch signals in real time, you'd need to monitor dozens of sources per person, synthesize unstructured content across platforms, and surface intent the moment it appears. This is tedious for one prospect; imagine trying a few thousand.\n\n**The solution.** Autumn tracks your prospects across the internet, at scale. Define your ICP and the signals that matter, and we deliver a condensed, real-time feed filtered by intents. Connect to email or Slack and get notified the moment a target prospect's behavior matches. Here are some workflows that Autumn is optimized for:\n\n* **Incorporation prospecting:** Surface new startup founders as soon as they incorporate their companies and track early signals around banking, payroll, ML infra.\n* **Enterprise account monitoring:** Build org trees and track entire departments within target accounts to see buying signals emerge across the org. \n* **Conference prep:** Monitor attendee lists ahead of events and prioritize outreach to the people already showing interest in what you sell.\n\n![uploaded image](/media/?type=post&id=97547&key=user_uploads/2663239/08071f20-30cb-4045-88e4-078e13e9a1a4)\n\n**The team.** We met on the first day of orientation at Columbia and we've been best friends ever since. Shiv is an AI researcher who presented at NeurIPS after a research stint with SandboxAQ. Vishnu built sourcing tech for VC firm Sierra Ventures and worked as an ML engineer for Modulus, an AI security startup.\n\n**Our ask.** If you’re a founder or GTM leader interested in prospect tracking at scale, we’d love to talk to you. Feel free to book a time on our [Calendly](http://calendly.com/founders-autumnai/30min-1) or email us at [founders@autumnai.com](mailto:founders@autumnai.com).",
        "url": "https://www.ycombinator.com/launches/PNL-autumn-ai-stalk-your-prospects-at-scale",
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    "website": "https://www.gofinto.com/",
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    "long_description": "Finto builds AI accounting software for enterprise finance teams. We automate the invoice-to-pay process from their email inbox to their ERP. Cutting out 80% of the accountants daily work in invoice recording, account coding and  invoice approvals.",
    "one_liner": "AI accounting for enterprise finance teams",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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        "answer": "We all combine deep domain expertise in mid-market and enterprise workflow automation. \r\n\r\nLorenz and Jonas worked together for 4+ years at TradeLink (SCM-SaaS backed by Point Nine, Insight), accompanying the path from 0 to product-market fit. Lorenz led Product; Jonas led Go-to-Market. Both quit their leadership roles to found Finto. \r\n\r\nKnowing each other from the Munich startup scene, Linus joined as Co-Founder & CTO. He was previously an early tech lead at Tacto (Procurement SaaS backed by Sequoia, Index), helping scale it from pre-seed to one of Europe’s largest Series A rounds in mid-market SaaS."
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Enterprises with complex vendor supply chains produce vast amounts of incoming vendor invoices each year. A typical **mid-market enterprise processes \\~100k incoming invoices** **yearly**, and today, an accountant tops out at \\~10-20k invoices per year because the real grind is still manual: \r\n\r\n* Key-stroking invoice data to the ERP\r\n* Manual invoice review and compliance checks\r\n* Manual managing deviations with purchase orders\r\n* Manual allocate ledger accounts and cost center codes\r\n* Chasing approvals. That’s why enterprises still staff large accounting teams - or ship the work to shared-service centers."
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        "answer": "AI will write the final chapter of accounting software. What once required teams, training, and manual effort now happens in real-time - intelligently, autonomously, and at scale through agents. \r\n\r\nFinto is our contribution to this future. As AI agents become capable of understanding context, learning from company-specific data, and executing complex workflows, entire job profiles will shift away from manual execution. With its predictable but intricate schemes, accounting is poised to be one of the first areas transformed. \r\n\r\nDoubling down on our domain expertise, we are on a mission to **take the manual out of accounting**."
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        "full_name": "Jonas Morgner",
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        "founder_bio": "Co-Founder & CEO of Finto, building AI Accounting agents for enterprise finance teams.\n",
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        "full_name": "Linus Boehm",
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        "id": 92119,
        "title": "Finto - AI Accounting for Enterprises",
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        "body": "**Finto - AI Accounting for Enterprises**\n\nhttps://www.youtube.com/watch?v=otqOvfepgKQ\n\n**TL;DR**\n\nFinto builds an AI accounting software for enterprise finance teams. We automate the invoice-to-pay process from their email inbox to their ERP including invoice handling, supplier communication, 3-way matching, and ERP data entry.\n\n**Problem**\n\nEnterprises with complex vendor supply chains produce vast amounts of incoming vendor invoices each year. A typical **mid-market enterprise processes \\~100k incoming invoices** **yearly**, and today’s legacy tools force accountants to top out at a fraction of the volume: Real manual grunt work still remains:\n\n* Handling hundreds of mails and documents a day\n* Key-stroking invoice data to the ERP\n* Manual invoices checks and account coding\n* Manual managing deviations with purchase orders\n* Chasing approvals\n\nThat’s why enterprises still staff large accounting teams - or ship the work to shared-service centers. Our mission is to free the world’s finance teams from repetitive, low-value tasks so they can focus on impactful work. That starts with building a place where everyone can do their best work.\n\n**Solution**\n\nWe build a platform embedding AI agents to automate the end-to-end invoice-to-pay cycle:\n\n1. **Classify** inbox documents (invoice, receipts, reminder)\n2. **Read** invoices at **99%+ accuracy** - even on line item level\n3. **Check** on vendor, tax, bank, and compliance data\n4. **Email vendors** automatically if something’s off\n5. **Understand & code** ledger, cost-center or project numbers\n6. **Three-Way-Match** invoice orders with POs and GRs\n7. **Collect** **&** **chase** required approvals\n8. **Post to ERP**\n\n**Team**\n\n![uploaded image](/media/?type=post&id=92119&key=user_uploads/517834/3c1f90e4-a068-4456-9e57-cdc10fe024d3)\n\nWe combine deep domain expertise in enterprise workflow automation. \n\n[Lorenz](https://www.linkedin.com/in/lorenz-neuner/) and [Jonas](https://www.linkedin.com/in/jonasmorgner/) worked together for 4+ years at TradeLink (European Logistics-SaaS backed by Point Nine, Insight Partners), accompanying the path from 0 to product-market fit. Lorenz led Product; Jonas led Go-to-Market. Both quit their leadership roles to found Finto. \n\nKnowing each other from the Munich startup scene, [Linus](https://www.linkedin.com/in/linus-boehm/) joined as Co-Founder & CTO. He was previously an early tech lead at Tacto (Procurement-SaaS backed by Sequoia, Index), helping scale it from pre-seed to one of Europe’s largest Series A rounds in mid-market SaaS.\n\n**CTA**\n\nYou’re interested in our product? [Book your demo here](https://www.finto.de/request-demo).\n\nIf you know a CFO or accounting leader, we are eager to help them make their process more efficient - please reach out: [jonasm@finto.de](mailto:jonasm@finto.de)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/fintoai/) or visit our [website](https://www.finto.de/).",
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        "title": "Autosana 2.0: The E2E validation layer for mobile & web apps",
        "tagline": "Close the E2E testing and QA loop with your coding agents across iOS, Android, and web apps",
        "body": "Coding tools have 10x’d not only dev speed, but also the surface area for bugs. The bottleneck has shifted to validating that features and fixes _actually_ work. \n\nYour team is probably spending hours doing at least one of these things:\n\n* Manually testing for regressions\n* Writing and maintaining brittle E2E test scripts\n* Saying “f\\*ck it, ship it,” way too often\n\nAll while still having users complain about bugs that slip into prod…\n\n“Can’t my coding agent just write my E2E tests for me?”\n\nSure - but now you’re stuck maintaining them as your app evolves - broken selectors, missing element IDs, new user journeys, non-deterministic environments, evolving infra requirements…\n\nNot to mention the cases that are nearly impossible to test with scripts in the first place: Apple Pay, in-app browser flows, complex swipes, drag-and-drop, magic links, OAuth, cross-app auth, etc…\n\nThis is why we built **Autosana** - **the agentic E2E testing layer to close the loop with your coding agents.** Fully vision based, testing your app like humans would. \n\n* Get onboarded seamlessly via our [MCP](https://docs.autosana.ai/mcp-setup)\n* Runs locally and in our cloud for multi-env testing\n* Code review + E2E testing in your PR with video proof\n* Tests evolving with your codebase, creating & running tests based on PR context and code diffs\n* Works across iOS, Android, mobile web, and desktop web\n\n[**\\[demo\\]**](https://youtu.be/DcCf6Knt5LY)\n\nGet started today @ [autosana.ai](https://autosana.ai)",
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        "id": 91958,
        "title": "Autosana - AI QA Agent for Mobile Apps",
        "tagline": "Autosana catches bugs in iOS and Android apps before users do.",
        "body": "Hey guys!\n\nWe’re Uv and Jason from Autosana 🌊\n\nWe’re building a QA agent that tests mobile apps like a real user. We’re on a mission to make flaky selector-based test scripts (or worse, manual regression testing) things of the past.\n\n[Demo here :)](https://www.youtube.com/watch?v=zsY22nvcVLU)\n\n# **TL;DR**\n\n* Cloud-hosted mobile QA agent (iOS and Android)\n* Natural language → simulated user flows\n* Integrates into CI/CD\n* Saves 8+ eng. hours per deployment\n\n# **Problem**\n\n**Dev Tools Have Evolved — QA Tools Haven’t**\n\nTools like Cursor and Claude Code boost dev speed by 10x, but lack the runtime context to write E2E tests, especially for complex and non-deterministic flows.\n\n**The QA Bottleneck**\n\nMaintaining traditional end-to-end scripts using frameworks like Appium, Espresso, and XCUITest wastes valuable engineering resources (trust us, we’ve been there).\n\nThese tests are tedious to write, brittle, and routinely break with UI changes. Many mobile teams ($100B+ companies included) have abandoned them and rely on manual QA.\n\n# **Solution**\n\nWe started Autosana to fix the QA bottleneck and help mobile teams ship faster without fear of breaking things.\n\nJust describe your test flows with natural language, as if you’re talking to your own **in-house QA Engineer**. No code, no infra setup, no dependence on flaky element selectors, and no more manual work.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcjScvXfMAllmoIBOAw31yGfHnfgGPt1V2yHBXQfJBTgIg-hFIAaTelmPZb0FJTtGFKjQd8PY-Ia55kJPaoYXTRneqpG3mgKr5bvV3dvZnvPxxdrVW2S2WqHsfzq8RiEToivqsjlg?key=-q2ZKYYIwen11jHmsUW6pg)\n\nOur agent tests your app like a real user, as **part of your CI/CD** pipeline or on a schedule, and **reports to the team when bugs are found**.\n\nAutosana supports both iOS and Android, and is framework-agnostic (we support React Native, Flutter, Swift, Kotlin, you name it…).\n\n**Mobile QA shouldn’t be hard. We’re on a mission to fix the bottleneck between mobile development and testing.**\n\nHave a bug-free day (or many bug-free days, with Autosana &lt;3)\n\n[autosana.ai](http://autosana.ai)\n\n![uploaded image](/media/?type=post&id=91958&key=user_uploads/1097474/10f8ca06-2216-4458-a6fa-11a60c43ff50)\n\n",
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        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Knowlify (YC S25), a done-for-you AI video ads agency producing AI UGC, Pixar-style character animation and AI commercials for paid social. Former Quant at WorldQuant.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ritvik-varada/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31719269d6b2232f89100f40fba8063ed99bcf15.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 92924,
        "title": "Knowlify: Done-for-you AI video ads and Meta campaign management",
        "tagline": "AI UGC, Pixar-style animation and AI commercials, delivered weekly. Creative production and Meta campaign management, together or separately.",
        "body": "# Knowlify: AI video ads, made for you every week\n\n**Knowlify is a done-for-you video advertising agency for B2B and B2C companies running paid social.** We produce finished AI UGC ads, Pixar-style character animation ads and AI commercials. We also offer Meta campaign management for teams that want creative production and campaigns handled together.\n\n[See our work and book a call](https://www.knowlify.com/).\n\n## What we make\n\n- **AI UGC:** Presenter-led, straight-to-camera ads built around your product and message.\n- **Pixar-style animation:** Original characters and stories that bring your product to life.\n- **AI commercials:** Produced scenes and product shots, created with AI and finished by our team.\n\nWe handle concepts, scripts, production, editing and sound. Every finished ad receives a human quality check before delivery.\n\n## How it works\n\n1. **Brief:** A 20-minute kickoff call about your product, audience, goals and brand assets.\n2. **Approve:** Within 48 hours, we send angles, hooks, scripts and visual direction for your approval.\n3. **Launch:** The first batch of finished ads arrives five days after the first call.\n4. **Keep testing:** New batches follow weekly, with about 25 finished ads a week. Campaign results help shape the next batch.\n\nEach approved variant counts as a finished ad. Drafts, re-exports and minor revisions do not.\n\n## Creative and campaigns, together or separately\n\nFor teams that want end-to-end support, we combine creative production with Facebook and Instagram campaign management. Responsibilities and pricing are agreed in your proposal.\n\nAlready have a media buyer? Use Knowlify for creative production. Your ad account remains yours, media spend is separate, and you keep every finished ad.\n\n## Who we are\n\nWe're Ritam, Jon, Ritvik and Arjun, the founders of Knowlify (YC S25). We built Knowlify for teams that need a steady flow of finished video creative to test.\n\n## The ask\n\nIf you're a founder or marketer running paid social, or preparing to start, we'd love to hear about the ads you need next.\n\n[See examples and book a call at knowlify.com](https://www.knowlify.com/).\n\n*Updated October 14, 2026 to reflect Knowlify's current services.*",
        "url": "https://www.ycombinator.com/launches/OAm-knowlify-done-for-you-ai-video-ads-and-meta-campaign-management",
        "votes": 31,
        "created_at": "2025-08-12T21:17:57.709Z"
      }
    ]
  },
  {
    "id": 30722,
    "name": "Omnara",
    "slug": "omnara",
    "former_names": [
      "GroundDocs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd794dace414f8acdb113022db360874e7706519.png",
    "website": "https://omnara.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Omnara is an open-source, model-agnostic control plane for managed agents. One API to deploy, run, and control them. Self-host it, or use our managed cloud.\r\n",
    "one_liner": "The Open-Source Alternative to Claude Managed Agents",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1753676392,
    "tags": [
      "Developer Tools",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/omnara",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/omnara.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/omnara",
    "x_url": "https://x.com/omnaraai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/omnara-ai/omnara",
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    ],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1391601,
        "full_name": "Ishaan Sehgal",
        "title": "Founder/CEO",
        "founder_bio": "Building omnara.com, the open-source alternative to claude managed agents! Omnara is an API that allows you to create and interact with AI agents easily. Previously I was an AI infra engineer at Microsoft, where I built and led Kaito (https://github.com/kaito-project/kaito/graphs/contributors). Before that, I worked on ML at Windsor (YC W19, acquired 2024) and interned at Roblox. I hold a BS/MCS in CS from UIUC.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ishaan-sehgal/",
        "x_url": "https://x.com/IshSup",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f702aad21a666e365673f7c3eaa8c993047de42.jpg"
      },
      {
        "user_id": 2661368,
        "full_name": "Kartik Sarangmath",
        "title": "Founder/CTO",
        "founder_bio": "Commanding my fleet of AI agents at omnara.com. \nPreviously at ThirdAI, optimizing neural networks for CPU deployment. Completed BS and MS in Computer Science at Georgia Tech focusing on computer vision research, publishing 3 papers and training large multimodal models at Meta AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kartiksarangmath/",
        "x_url": "https://x.com/kartiksmath",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f0f734f148a9e0481b772518abcd7959193178a.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 112080,
        "title": "Omnara: The API for Production-Ready agents",
        "tagline": "Open-source alternative to claude managed agents",
        "body": "Omnara is an open-source platform for creating and interacting with production-ready agents via an API, without having to worry about the tedious parts of managing an agent control plane. It’s an open-source alternative to Claude Managed Agents, Langchain Managed Agents, Vercel Eve, etc.\n\n## **Problem:**\n\n---\n\nBuilding agents is hard. Many companies are building agent control planes, both for internal use and external use. The common pattern is you use some local agent framework, like claude agent sdk, mastra, langchain, or your own loop, host that on VMs/kubernetes/workers, expose an API with endpoints to interact with agents, handle machine failures, resumption of an agent, provisioning sandbox environments so those agents can code, configure endpoints to add skills and MCPs, have user message tracking, audit logs, and on and on.\n\nIt’s a lot of infrastructure work that has nothing to do with what the agent actually does. And most teams end up having to build and maintain their own versions of it.\n\nOmnara is that layer. It provides this infrastructure for you. So you can create and interact with your agents through a standard API without having to worry about building and maintaining your own control plane.\n\n![uploaded image](/media/?type=post&id=112080&key=user_uploads/1391601/7b5a0575-9a32-4af8-966f-9b6370e74edc)\n\n## **Bring your own computer:**\n\nRun this on any linux or macOS machine (windows coming soon): \\\n**curl -fsSL https://app.omnara.com/install/omnarad.sh | sh**\\\nIt connects the machine to the Omnara control plane. You can then give any agent access to this machine. This allows you to spin up an EC2 instance and have your agents use that as a persistent machine, or even run it on your macbook so that cloud agents can directly edit files locally when it’s online. You can also bring your own sandbox provider API keys (currently we support Blaxel, Daytona, and Unikraft).\n\n![uploaded image](/media/?type=post&id=112080&key=user_uploads/1391601/55bd57b2-62f9-414e-8acc-405797264d3a)\n\n## **Bring your own model:**\n\nOmnara allows you to bring your own LLM endpoint and API key (we support OpenAI Responses, OpenAI Completions, and Anthropic Messages formats, with more coming soon). You can use your hundreds of thousands of free LLM credits from YC in Omnara!\n\n![uploaded image](/media/?type=post&id=112080&key=user_uploads/1391601/12802420-8c49-4609-bd5c-9b7df94954f6)\n\n---\n\nBecause you can bring your own machine and models, you can use Omnara for completely free! Our architecture allows us to efficiently host hundreds of millions of agents on minimal hardware, so we can easily eat that cost.\n\nIf you prefer our hosted models (via openrouter) and hosted sandboxes (via blaxel), we're giving $1,000 in credits to the first 50 teams building on Omnara. Email us at [**contact@omnara.com**](mailto:contact@omnara.com) with what you're building and we’ll apply the credits to your organization.\n\nIf you want help self-hosting the control plane or running it in your VPC/on-prem, we’re taking on five design partners. Email [**ishaan@omnara.com**](mailto:ishaan@omnara.com).\n\nWebsite: [**omnara.com**](http://omnara.com) \\\nApp: [**app.omnara.com**](http://app.omnara.com) \\\nDocs: [**docs.omnara.com**](http://docs.omnara.com) \\\nSource: [**github.com/omnara-ai/omnara**](http://github.com/omnara-ai/omnara)",
        "url": "https://www.ycombinator.com/launches/T9k-omnara-the-api-for-production-ready-agents",
        "votes": 10,
        "created_at": "2026-08-24T18:26:24.991Z"
      },
      {
        "id": 97081,
        "title": "Omnara: Run Claude Code from Anywhere 🤖",
        "tagline": "Stay involved with your coding agents without being at your desk",
        "body": "We’re Ishaan and Kartik, and we’re building **Omnara**, a web and mobile interface for Claude Code that lets you keep coding agents moving even when you’re away from your desk.\n\n🎥 Demo:[ https://x.com/i/status/2014383431845839186](https://x.com/i/status/2014383431845839186)\n\n## **❌ The Problem**\n\nCoding agents can work independently for long stretches, but they still block on human input.\n\nIf an agent needs clarification while you’re away, everything pauses.\\\nIf your laptop sleeps, long-running work stops.\\\nMost remote agent tools run in hosted environments instead of where your code actually lives.\n\nAgents should fit around your schedule, not the other way around.\n\n## **🛠️ The Solution**\n\n**Omnara makes working with coding agents feel continuous instead of fragile.**\n\nYou can:\n\n* Start agents locally and stay involved from anywhere using web or mobile\n* Keep work moving even if your laptop goes offline\n* Talk to agents using voice when typing isn’t convenient\n\n## **🔒 Run agents in your environment, access them from anywhere**\n\nWith Omnara, your coding agent runs on your own machine, whether that’s your laptop or a remote VM you control.\n\nYou can access and interact with that agent from anywhere, securely, without SSH, port forwarding, or tunneling.\n\nYour agent runs in your real environment, but you’re not tied to the machine it’s running on.\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/81388baf-658a-4c43-94ac-1ce4e17a1605)\n\n## **☁️ Keep agents running when your machine is off**\n\nAgents shouldn’t stop just because your laptop does.\n\nIf your machine goes offline, Omnara can keep the agent running in the cloud so work continues. You can still interact from web or mobile, and when you’re back at your desk, you can pick up where things left off.\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/098a8bf1-046d-4362-86b2-63d984e999dd)\n\n## **🎙️ Talk to your coding agent**\n\nMobile typing works for quick replies, but it’s not great for longer back and forth.\n\nOmnara includes voice so you can talk to your coding agent when typing isn’t convenient. Speaking tends to provide more context and makes it easier to iterate, especially while walking or multitasking.\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/829c73b5-6a60-41e8-a9c3-0fa98de80d39)\n\n## **💸 Pricing**\n\n* Free: up to 10 agent sessions per month\n* $20/month: unlimited sessions\n* When agents run in your environment, you can use your existing Claude Pro or Max subscription\n\n## **🙏 Our Ask**\n\nIf you use Claude Code or rely on long-running coding agents, we’d love your feedback.\n\n👉 Try it: [omnara.com](https://www.omnara.com/)\n\n[👉](https://www.omnara.com\\)%F0%9F%91%89) Install in one line:\\\ncurl -fsSL <https://omnara.com/install/install.sh> | bash\n\n👉 Reach us: [founders@omnara.com](mailto:founders@omnara.com)\n\n— Ishaan & Kartik\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/6ef3e27b-3742-4e1a-9d77-1ec8a6c5bc41)\n\n",
        "url": "https://www.ycombinator.com/launches/PFp-omnara-run-claude-code-from-anywhere",
        "votes": 17,
        "created_at": "2026-01-23T20:07:51.104Z"
      },
      {
        "id": 93029,
        "title": "Omnara - The first command center for AI agents: terminal, web, and mobile",
        "tagline": "Run Claude Code from anywhere and switch seamlessly between devices",
        "body": "https://www.loom.com/share/03d30efcf8e44035af03cbfebf840c73\n\nStart Claude Code in the terminal, then pick it up instantly on web or mobile with a seamless handoff between all three\n\n### The Problem\n\nClaude Code is incredible, but it chains you to your desk.\\\nOnce an agent starts working, you’re stuck waiting in the terminal for it to ask you something. That could take 5–10 minutes, and if you’re away, progress halts. We’ve coded from our beds, on walks, in Ubers, while doing laundry… and yes, even on the toilet — but only after we built Omnara.\n\nExisting solutions don’t solve this well:\n\n* **Other Claude Code wrappers** (e.g., Crystal, Conductor) often replace the native experience but don’t let you jump between terminal, web, and mobile.\n* **Terminal replication tools** (e.g., Vibetunnel, Termius) let you SSH in, but have no push notifications, clean diffs, or simple setup.\n\n### What’s Omnara?\n\nOmnara is the **first agent command center** — start an AI agent in the terminal, then continue the same session from our web dashboard or mobile app.\n\nWith Omnara, you can:\n\n* Launch agents from terminal, web, or mobile.\n* Switch between them instantly.\n* Get **real-time push notifications** when agents need your input.\n* Review logs, see Git diffs, and approve/reject changes with one tap.\n\n![uploaded image](/media/?type=post&id=93029&key=user_uploads/1391601/bf61f9ae-4f37-4377-90c8-fc2bed1d0866)\n\n**How it works**\\\nWe built a CLI wrapper that mirrors the native Claude Code experience — output, permissions, notifications, and mode switching — by parsing the session file at _\\~/.claude/projects_ and terminal output in real time. All agent and user messages are streamed via SSE to the Omnara platform, where you can respond from anywhere.\n\nIt’s fully open source: [github.com/omnara-ai/omnara](https://github.com/omnara-ai/omnara)\n\n![uploaded image](/media/?type=post&id=93029&key=user_uploads/1391601/837e9af0-e038-4bb1-9f1c-1ebf152f8157)\n\n### Why launch with Claude Code first?\n\nOmnara works with any AI agent, but Claude Code users immediately “get” the value. It’s the perfect human-in-the-loop use case — and the one we use every day.\n\nWe’ve also used Omnara as a human-in-the-loop node in n8n workflows, e.g., for replying to emails. This is just the beginning.\n\n![uploaded image](/media/?type=post&id=93029&key=user_uploads/1391601/96e585a6-db46-4a20-8901-0ddbc7e409cf)\n\n### Pricing\n\nFree for up to 10 agent sessions/month.\\\n$9/month for unlimited.\n\n### About Us\n\nWe’re **Ishaan & Kartik**, childhood friends since Montessori. We’ve spent years working in AI and AI infra at big tech and acquired startups and love building tools that remove friction for developers.\n\n### Try it free\n\n`pip install omnara && omnara`Then log in at [omnara.com](http://omnara.com) or download our iOS app: [Omnara on the App Store](https://apps.apple.com/us/app/omnara-ai-command-center/id674...)",
        "url": "https://www.ycombinator.com/launches/OCT-omnara-the-first-command-center-for-ai-agents-terminal-web-and-mobile",
        "votes": 25,
        "created_at": "2025-08-15T06:52:33.641Z"
      }
    ]
  },
  {
    "id": 30723,
    "name": "Miso Labs",
    "slug": "miso-labs",
    "former_names": [
      "Kamino Learning",
      "Dalta Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dd28df9a99151aedfe26a296d8e112af2bf4edb.png",
    "website": "https://misolabs.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Miso Labs is building the world’s most emotive foundation models for voice. Our goal is to pass the voice Turing test.",
    "one_liner": "Emotive foundation voice models",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1780176393,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/miso-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/miso-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/108252929/admin/dashboard/",
    "x_url": "https://x.com/MisoLabsAI",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dd28df9a99151aedfe26a296d8e112af2bf4edb.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 2331815,
        "full_name": "Cassidy Dalva",
        "title": "Founder/CEO",
        "founder_bio": "co-founder @ miso labs | stanford alum",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cassidydalva/",
        "x_url": "https://x.com/cassidydalva",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cbab268681c424f56655c22856cef57ab87adee1.jpg"
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    ],
    "jobs": [
      {
        "id": 107795,
        "title": "Data Operations Lead (Voice Data)",
        "url": "https://www.ycombinator.com/companies/miso-labs/jobs/yr4vHp9-data-operations-lead-voice-data",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K",
        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 102518,
        "title": "Miso Labs - emotive voice models",
        "tagline": "Building the most emotive voice AI models",
        "body": "Today, we’re excited to introduce **Miso One, the most emotive voice model in the world.**\n\nMiso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.\n\nWe’ve open-sourced the model weights, with API access coming soon.\\\n\\\n[**https://www.youtube.com/watch?v=HizlJgDbac8**](https://www.youtube.com/watch?v=HizlJgDbac8)\n\nAll of these voiceovers were generated by Miso One!\n\n[**https://www.youtube.com/watch?v=QX6a_lUdwC8**](https://www.youtube.com/watch?v=QX6a_lUdwC8)\n\n[**https://www.youtube.com/watch?v=ywH2C4LKu9E**](https://www.youtube.com/watch?v=ywH2C4LKu9E)\n\n[**https://www.youtube.com/shorts/jTLNoUH85iY**](https://www.youtube.com/shorts/jTLNoUH85iY)\\\n\\\n**_Our ask:_**\\\nCheck out our repository and give us a star!\n\n[**https://github.com/MisoLabsAI/MisoTTS**](https://github.com/MisoLabsAI/MisoTTS)\n\nYou can also test out the model directly at [**misolabs.ai**](http://misolabs.ai).",
        "url": "https://www.ycombinator.com/launches/QfW-miso-labs-emotive-voice-models",
        "votes": 20,
        "created_at": "2026-06-03T17:54:30.376Z"
      }
    ]
  },
  {
    "id": 30725,
    "name": "Minimal AI",
    "slug": "minimal-ai",
    "former_names": [
      "Minimal AI",
      "Minimal AI, Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c63bc96cffb87cb2d06890455f91a39acb01d02d.png",
    "website": "https://gominimal.ai/",
    "all_locations": "Amsterdam, NH, Netherlands",
    "long_description": "Minimal AI makes it easy for e-commerce brands to build and manage AI support teams that resolve 90%+ of tickets while increasing revenue.",
    "one_liner": "AI Agents for E-commerce Customer Support",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755048998,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Netherlands",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/minimal-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/minimal-ai.json",
    "year_founded": 2024,
    "city": "Amsterdam",
    "country": "NL",
    "linkedin_url": "https://www.linkedin.com/company/gominimal/",
    "x_url": "",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c63bc96cffb87cb2d06890455f91a39acb01d02d.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1977649,
        "full_name": "Niek Hogenboom",
        "title": "Founder/CEO",
        "founder_bio": "Niek is the Co-Founder and CEO of Minimal AI\n\nHe started his first business at the age of 16, selling and importing custom suits from his parents' house and sold the business 3 years later. After graduating from Aerospace Engineering at Delft University of Technology, he spent a year leading the most successful solar racing team in the world and grew his startup SitRight to $2M+ revenue during covid.\n\nLater he did his master's research at the University of Oxford before founding Minimal AI",
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      {
        "user_id": 1524183,
        "full_name": "Titus Ex",
        "title": "Founder/CTO",
        "founder_bio": "Titus is the Co-Founder and CTO of Minimal AI\n\nHe previously worked as a data scientist / machine learning engineer at Uber and Soda, a Point-Nine backed data quality startup in Amsterdam. \n\n Titus holds an MSc in Applied Math and has been working on AI since 2018.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/titus-ex-85691711a",
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    "launches": [
      {
        "id": 92995,
        "title": "Minimal: AI Customer Support Teams for E-commerce",
        "tagline": "We make it easy for e-commerce brands to build and manage AI customer support teams that resolve 80% of tickets.",
        "body": "Hey YC 👋\n\nWe're [**Niek**](https://www.linkedin.com/in/niek-hogenboom/) and [**Titus**](https://www.linkedin.com/in/titus-ex-85691711a/) from [**Minimal AI**](https://gominimal.ai/).\n\n# **TL;DR**\n\nMinimal AI makes it easy for e-commerce brands to build and manage AI support teams that resolve 90% of tickets at human-level quality. The result: reduced support costs while actually improving customer experience and sales. Minimal AI’s Agents currently resolve tens of thousands of tickets per day.\n\n<https://www.youtube.com/watch?v=zi9eLe0-z_Q>\n\n# **Problem**\n\nEveryone thinks AI customer support is solved. It's not. E-commerce customer support is complex and fast-paced. Stores have:\n\n1. Fragmented tech stacks (e.g. Shopify + Zendesk + Shipbob + 12 other tools)\n2. Policies that change weekly (return windows, shipping rates, product launches etc.)\n3. Brand-specific nuances (tone-of-voice, upsell strategies etc.)\n\nCurrent solutions force an impossible choice: spend months on expensive implementations with endless vendor calls and complex solutions (that break whenever your business evolves), or settle for basic black-box chatbots that frustrate customers. E-commerce brands can't afford to waste resources on either. Tom Blomfield even called current AI Customer Service tools vaporware:\n\n![uploaded image](/media/?type=post&id=92995&key=user_uploads/1977649/0d7deb74-50db-4652-997e-95150298f702)\n\n# **Solution**\n\nWe make it easy for e-commerce brands to build and manage AI customer support teams that resolve 80% of tickets.\n\n**How it works**\\\nUsers train and manage the AI Agents through a single conversational\\\ninterface called the AI Manager. Users can transparently see the Agent's reasoning, provide feedback, and watch it instantly update protocols. The AI Manager also spots gaps and proactively suggests improvements.\n\n![uploaded image](/media/?type=post&id=92995&key=user_uploads/1977649/de1a17d0-bca1-4a28-88e2-4aabc24ad8b7)\n\nFor example, users might say:\n\n* _\"For ticket #12345, use the WMS tracking URL instead of Shopify next time\"_\n* _\"Orders from multiple ShipBob locations arrive separately - warn customers upfront\"_\n* _\"Damaged items need 2 clear photos before refunding\"_\n\nThe AI Manager instantly updates protocols and asks clarifying questions when needed. Done. Your Agents now handle similar cases perfectly.\n\nIt feels like outsourcing your support to a team of AI Agents, with the AI Manager as single point of contact.\n\n# **Team**\n\nNiek and Titus have known each other for two years and met through mutual friends.\n\n[**Niek**](https://www.linkedin.com/in/niek-hogenboom/) (CEO) - Niek started his first business at the age of 16, selling and importing custom suits from his parents' house and sold the business 3 years later. After graduating from Aerospace Engineering at Delft University of Technology, he spent a year leading the most successful solar racing team in the world and grew his startup SitRight to $2M+ revenue during covid. Later he did his master's research at the University of Oxford before founding Minimal AI.\\\n\\\n[**Titus**](https://www.linkedin.com/in/titus-ex-85691711a/) (CTO) - Titus previously worked as a data scientist / machine learning engineer at Uber and Soda, a Point-Nine backed data quality startup in Amsterdam. Titus holds an MSc in Applied Math and has been working on AI since 2018.\n\n![uploaded image](/media/?type=post&id=92995&key=user_uploads/1977649/120ebc73-9c7f-4643-9097-b341b8a10217)\n\n# **Our Ask**\n\n* Intro us to E-commerce founders, CEOs, COOs, or heads of CX\n* Check out [gominimal.ai](https://gominimal.ai/) and [book a demo with one of the founders](https://cal.com/niek-hogenboom-ps3xzq/minimal-demo).\n\n_👉 contact us at [niek@gominimal.ai](https://mailto:niek@gominimal.ai)_",
        "url": "https://www.ycombinator.com/launches/OBv-minimal-ai-customer-support-teams-for-e-commerce",
        "votes": 87,
        "created_at": "2025-08-14T16:10:58.285Z"
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    "id": 30726,
    "name": "Socratix AI",
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    "website": "https://getsocratix.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Socratix builds AI coworkers for fraud and compliance teams so that humans don't have to spend their days drowning in alerts and spreadsheets.\r\n\r\nToday, fraud and risk teams at fintechs and banks are overwhelmed. Analysts jump between tools, manually stitch together context, and make judgment calls under pressure, often for hundreds of alerts a week. Too much of their work is slow, repetitive, and error-prone. We're here to change that. \r\n\r\nSocratix gives fraud and risk teams AI coworkers that investigate alerts in real time, replacing manual reviews with fast, explainable decisions. Socratix agents plug into existing workflows and reason across signals just like human analysts to help teams reduce fraud losses, minimize false positives, and scale operations without scaling headcount.\r\n\r\nWe've seen this problem firsthand. At DoorDash, Riya helped save $30M+ a year by building smarter fraud detection and investigation tooling, and at Unit21, she built products for analysts that made them 3X faster. We're able to build and sell enterprise-grade software. At Cruise, Satya built scalable AI systems powering petabyte-scale data, and at LinkedIn, he built enterprise products from 0 to 1 generating $50M+ in incremental revenue. Now, the two of us are teaming up to eliminate the manual toil in fraud and compliance.\r\n\r\nWe're obsessed with fraud, LLMs, real-world automation, and the messy edge cases traditional ML has trouble handling. We believe that every fraud analyst should have an AI coworker - and the future of fraud will involve combining human-level reasoning with machine-speed execution. ",
    "one_liner": "AI coworkers for fraud and compliance teams.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1752778488,
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    "nonprofit": false,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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        "user_id": 644801,
        "full_name": "Riya Jagetia",
        "title": "Founder/CEO",
        "founder_bio": "I studied CS at MIT and previously built AI agents for investigations, ML models, real-time monitoring, and anomaly detection for fraud teams at DoorDash and Unit21. Now, I'm building AI coworkers for fraud and risk teams that combine human-level reasoning with machine-speed execution.\n",
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        "user_id": 432152,
        "full_name": "Satya Vasanth Tumati",
        "title": "Founder/CTO",
        "founder_bio": "Passionate about applying AI to solve complex but boring real-world problems. Now, building the future of AI powered fraud and risk operations at Socratix.\nPreviously built petabyte scale search and mining systems at Cruise and built some of Linkedin's enterprise marketing products from scratch generating $50M incrementally. Studied CS at UCLA, IIT Hyd",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/satya-vasanth/",
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      {
        "id": 109806,
        "title": "Member of Technical Staff, AI Agents",
        "url": "https://www.ycombinator.com/companies/socratix-ai/jobs/JtqwNF7-member-of-technical-staff-ai-agents",
        "location": "Mountain View, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 113369,
        "title": "Founding GTM Lead, AI Agents",
        "url": "https://www.ycombinator.com/companies/socratix-ai/jobs/USMvlll-founding-gtm-lead-ai-agents",
        "location": "Mountain View, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $140K",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
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      {
        "id": 92776,
        "title": "Socratix AI: AI Coworkers for Fraud and Risk Teams",
        "tagline": "Socratix provides AI agents that function like fraud and risk analysts - only faster, cheaper, and always-on.",
        "body": "Hi everyone,\\\nWe’re [Riya](https://www.linkedin.com/in/riya-jagetia/) & [Satya](https://www.linkedin.com/in/satya-vasanth/) - the co-founders of [Socratix AI](http://getsocratix.ai/). We’re building AI coworkers for fraud and risk teams so that people don't have to spend their days drowning in alerts and spreadsheets.\n\nhttps://www.youtube.com/watch?v=_-ds8g2SgIg\n\n# ❌ **The Problem:**\n\nToday, fraud and risk teams at fintechs and banks are overwhelmed. They're reviewing **hundreds of alerts per week** - jumping between tools, manually gathering context, and making tough judgment calls under pressure.\n\nThe work is **repetitive, slow, and prone to error**. Hiring more analysts is slow and expensive. Meanwhile, fraudsters are creative, constantly evolving their tactics to bypass static rules and outdated ML models.\n\nThe result: overwhelmed teams, blocked good users, and missed real threats.\n\n# ✅ **The Solution:**\n\nSocratix gives fraud and risk teams AI coworkers - **agents that think like human analysts but operate 24/7 and scale effortlessly.**\n\nOur agents plug into existing tools and workflows to:\n\n* Ingest alerts\n* Pull rich context (accounts, devices, behaviors, history)\n* Assess risk using past cases and SOPs\n* Auto-close false positives\n* Escalate high-risk cases with clear rationale and next steps\n\nThe result is fewer fraud losses, reduced false positives, and better customer experiences - all without scaling headcount.\n\n# [**👬**](https://emojipedia.org/men-holding-hands) **The Team:**\n\n![uploaded image](/media/?type=post&id=92776&key=user_uploads/644801/f528f61b-67b4-4a51-95b0-970e85b4e13c)\n\nWe’ve seen this problem up close, and we’ve felt both sides: the manual pain of fraud operations and the transformative power of autonomous AI.\n\nRiya (CEO) previously led the development of AI/ML fraud detection and investigation tools at DoorDash and Unit21, helping prevent tens of millions of dollars in fraud losses and making analysts 3X more efficient. She holds a Computer Science degree from MIT.\n\nSatya (CTO) previously built enterprise-grade AI/ML systems for real-world autonomy - most recently at Cruise. He has worked with ML and software engineering his entire career. He holds a Computer Science degree from IIT and a Master’s in Computer Science from UCLA.\n\nWe’ve been in the trenches - stitching together context across messy tools, triaging endless alerts, and scrambling to keep up with evolving threats. **Now, we’re teaming up to** **bring autonomous AI to fraud and risk - and eliminate the manual toil for good.**\n\n# **🙏 Our Ask:**\n\nIf you’re a fintech, marketplace, or financial institution drowning in fraud ops, alert fatigue, or growing backlogs - we’d love to help. Whether you’re rebuilding your fraud stack, struggling with your false positives, or curious about AI agents for your workflows, we’d love to share what we’re seeing in the space and show you a demo! \\\n\\\n👉 Contact us at [riya@getsocratix.ai](https://mailto:riya@getsocratix.ai) and [satya@getsocratix.ai](https://mailto:satya@getsocratix.ai)\n\n🕐 Book a time [here](https://calendly.com/riya-getsocratix/30min)",
        "url": "https://www.ycombinator.com/launches/O8O-socratix-ai-ai-coworkers-for-fraud-and-risk-teams",
        "votes": 16,
        "created_at": "2025-08-06T16:56:52.508Z"
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    "id": 30727,
    "name": "Alara",
    "slug": "alara",
    "former_names": [
      "DentalSteals"
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    "website": "http://alaradental.com",
    "all_locations": "",
    "long_description": "Alara aggregates product listings from numerous suppliers, shows real-time price comparisons, and lets dentists order from different vendors in a single cart. With Alara, dental offices are saving time and money when ordering supplies. ",
    "one_liner": "Procurement Platform for Dental Offices",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755223060,
    "tags": [
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      "Procurement",
      "AI"
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    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/alara",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "user_id": 2729327,
        "full_name": "Dr. Sabrine Obbad",
        "title": "Founder",
        "founder_bio": "Co-founder of Alara. I'm a pediatric dentist and private practice owner who experiences first hand the procurement mess we are trying to solve. I hold a B.Sc and M.Sc in Chemistry from NYU and a D.D.S from NYU College of Dentistry. Prior to being a dentist I was a pharmaceutical and computational chemist working in the field of protein biochemistry where I helped develop cancer drugs for clinical trials. ",
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      {
        "user_id": 430348,
        "full_name": "Elyas Obbad",
        "title": "Founder",
        "founder_bio": "Co-founder of Alara. I was previously at DoorDash, Google, and Meta, where I led engineering on large-scale AI systems and consumer products used by millions. I hold an M.S. in Computer Science from Stanford and a B.S. from Columbia, specializing in AI and intelligent systems. As a researcher at Stanford’s Trustworthy AI Lab, I’ve published first-author work at ICML and NeurIPS on large language model data curation and alignment. ",
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        "linkedin_url": "https://www.linkedin.com/in/elyas-obbad-071a01176/",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Floot is the layer where vibecoded software runs.\r\n\r\nSaaS is dead. Hundreds of millions of people already spend their day in Claude or ChatGPT - and increasingly, when they need an app, they won't buy one. They'll describe it, and it will exist.\r\n\r\nWe're building the infrastructure that makes that real. When Claude creates an app, it needs somewhere for that app to live: a backend, a database, hosting, a domain, the ability to scale, various services, maybe even to be able to work as a mobile app. Floot is that place - a full stack purpose-built for AI to operate, from a specialized framework that defines how AI writes and runs code, down to scalable hosting on AWS.\r\n\r\nThis means you can now build and ship real apps directly inside Claude and ChatGPT. Connect Floot, and the model you already pay for writes and debugs the code, shows a live preview, and publishes to your own domain. No need to wire up git, vercel, supabase and a dozen other providers. And no AI credits - every message runs on the subscription you already have, because we charge for the platform, not for a token markup.\r\n\r\nWe built Floot this way because we've watched the model layer commoditize - every serious builder writes good code now, including us. The lasting value isn't another agent between you and the model. It's the layer underneath, from wherever people already are. We're building Floot to be the home for all operation software, for the decades where most new software on earth is written by AI.\r\n\r\n✨ Try it: floot.com\r\n",
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    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1753721322,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "founders": [
      {
        "user_id": 2071169,
        "full_name": "Yujian Yao",
        "title": "Founder/CEO",
        "founder_bio": "Yujian was a staff engineer at Retool where he rebuilt the entire Retool runtime powering every Retool app. Before that, he was an early engineer at Asana. He’s also a gold medalist in National Olympiad Informatics, Singapore.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yjyao/",
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    "jobs": [
      {
        "id": 82610,
        "title": "Founding Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/floot/jobs/2rbWibL-founding-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
        "equity_range": "0.25% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 82612,
        "title": "Founding Growth Marketer",
        "url": "https://www.ycombinator.com/companies/floot/jobs/gyHYJjj-founding-growth-marketer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
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    "launches": [
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        "id": 112249,
        "title": "Floot - build and run your app with ChatGPT and Claude. No AI credits needed.",
        "tagline": "Floot gives your agent a place to write, test, and ship code - you never touch git, local files, or a thousand vendor accounts.",
        "body": "ChatGPT and Claude can already write you an app. Getting it live is another story.\\\n\\\n<https://www.youtube.com/watch?v=cFmZPUVfKCY>\n\nConnect Floot, and your AI becomes a full-stack app builder. You don’t get limited to your computer - the AI agent can use Floot on the web, in the desktop apps, or from your phone. The model you already pay for writes and debugs the code, shows you a live preview, and publishes to your own domain. No git, Vercel, Supabase, Resend, or OneSignal to set up - a stack of tools that was never built for you anyway.\n\n![uploaded image](/media/?type=post&id=112249&key=user_uploads/2071169/fcf08d3d-384b-4da1-bb8c-b342dbb8c478)\n\nAnd the part we're most excited about: Floot doesn't charge you AI credits.\n\nEvery message, every change, every random question uses the Claude or ChatGPT subscription you already have. No settling for a lesser model to make the credits last. Explore freely - test every idea, ask every question.\n\nTakes a minute to connect. Free to start → [**floot.com**](http://floot.com)",
        "url": "https://www.ycombinator.com/launches/TCT-floot-build-and-run-your-app-with-chatgpt-and-claude-no-ai-credits-needed",
        "votes": 22,
        "created_at": "2026-08-25T23:52:27.371Z"
      },
      {
        "id": 92516,
        "title": "Floot - The easiest and most powerful AI app builder",
        "tagline": "The fastest way for non-coders & entrepreneurs to build apps that actually work.",
        "body": "Hi everyone 👋 We’re Edward and Yujian, the founders of Floot!\n\n**TLDR:** Floot lets non-coders &amp; entrepreneurs build real web apps that actually work. We’re taking a new approach by building everything from the ground up for AI.\n\n✨ [Try building an app right now!](https://floot.com)\n\n# The Problem\n\nExisting AI app builders fall short of enabling non-coders to build real, serious apps. They often:\n\n* **Break down** when building anything more than a prototype or toy app\n* **Have non-coders stuck** with errors they don’t understand\n* **Require non-coders to handle multiple services** designed for developers (e.g. for backend, database, hosting, etc)\n\n**The fundamental problem**: these AI app builders just cobble together existing developer tools and slap AI on top, but these tools were designed for humans and not for AI.\n\nThe result? Non-coders get excited, start building, hit a wall, and then abandon their projects.\n\n# Our Solution\n\nFloot is purpose-built for AI. Our secret sauce:\n\n1. Instead of reusing a coding framework designed for humans, **we created a specialized framework** that dictates how AI should write code and how the code runs on our infrastructure. This allows us to enforce best practices, detect errors earlier, and give the best feedback to the AI. As a result, Floot can write better code and fix issues more effectively.\n2. **Floot has the entire tech stack built-in** (backend, database, hosting, etc) so building and managing an app feels seamless, especially for non-coders. And because we control every layer of the stack, we can optimize each layer for AI-first coding.\n\nBecause of this, **non-coders can get more done with less time** and prompting. They can finally **build serious apps** that work, instead of getting stuck in frustrating error loops and then abandoning their projects.\n\nWe also built a **highly scalable hosting system** directly on AWS so Floot apps can handle real traffic and business demands. This means non-coders can build, deploy, and scale their apps on a single platform seamlessly.\n\nPlus, **Floot is really fun to use**! It takes your prompt, breaks it down, and shows you how it accomplishes each step. If it sees a bug while building, it lets you know and fixes it right away.\n\nYou can even draw on your app to visually communicate the changes you want:\n\n![uploaded image](/media/?type=post&id=92516&key=user_uploads/2071169/b6bd69f7-9f86-4db9-929e-4ad3ab66b129)\n\n**Here’s what a customer said about Floot:**\n\n_I'd tried other platforms but could never advance far enough to feel truly productive. The time investment and constant token usage just to fix issues had me ready to hire a developer again. With Floot, I had a working app within a week, even working in my off-hours, and started beta testing with my team days later. We estimate Floot has saved us around $20,000 so far. Best of all, their customer support has gone above and beyond at every turn._\n\n✨ [Try Floot yourself!](https://floot.com) (bonus: build something you’ve made in other tools to compare)\n\n# Why are we building this?\n\nWe believe that existing tools are based on technologies built for human developers and ill-suited for the future of AI writing most of the code. The whole toolchain of building and maintaining software desperately needs to adapt to the new reality. We are starting with web apps with the goal of evolving into the new foundation of software, empowering the next generation of builders.\n\n# Team\n\n[Yujian](https://www.linkedin.com/in/yjyao/) was a staff software engineer at Retool and Asana. At Retool, he rebuilt the entire runtime to optimize the user experience for builders. At Asana, he built the rich editor that powers every task and comment. Yujian ranked 4th in the National Olympiad in Informatics, Singapore.\n\n[Edward](https://www.linkedin.com/in/edwlk/) scaled his SaaS to 10k+ customers by taking something technically complex and making it accessible to non-technical users, and now he’s doing the same with Floot. For his SaaS, he built a highly scalable and reliable distributed system to handle low-latency applications. Before that, Edward built infrastructure at AWS and studied CS at Berkeley.\n\n# Our ask\n\n✨ [Try building an app in minutes on Floot!](https://floot.com)\n\nWe’d love your feedback (even nitpicks!) - reach us at [founders@floot.com](mailto:founders@floot.com)\n\nKnow someone who needs to build an app? Have them try Floot :)\n\n![uploaded image](/media/?type=post&id=92516&key=user_uploads/2071169/d62a49f0-5907-44fa-8ff3-f9c374f1e8b0)\n\n",
        "url": "https://www.ycombinator.com/launches/O4C-floot-the-easiest-and-most-powerful-ai-app-builder",
        "votes": 63,
        "created_at": "2025-07-28T18:39:02.551Z"
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    "long_description": "idler is a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models.",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 316251,
        "full_name": "Ivan Chub",
        "title": "Founder/CEO",
        "founder_bio": "idler. Previously cofounder of Dark Forest, 0xPARC, Zupass, Hack Lodge; also previously at Facebook, Dynasty, AppSheet.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ivanchub/",
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      {
        "user_id": 557067,
        "full_name": "Nalu Concepcion",
        "title": "Founder",
        "founder_bio": "currently: scaling RL environments. \n\nformerly: orchestrated 500+ person parties, monthly @ notsominimoments · swe @ msft · product @ poshmark · data science @ paymongo",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nalu-concepcion/",
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      {
        "user_id": 1569620,
        "full_name": "Tony Goss",
        "title": "Founder",
        "founder_bio": "cto @ idler. I (ethically) hacked Dark Forest to win $400k, beat the #1 ranked Dominion player, and play pro ultimate frisbee.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tony-goss-a53732132",
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        "id": 106607,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/idler/jobs/6bxHBTm-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $400K",
        "equity_range": "0.01% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 106667,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/idler/jobs/Lxnn9vi-design-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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      {
        "id": 106668,
        "title": "Research Scientist",
        "url": "https://www.ycombinator.com/companies/idler/jobs/k8SRWwY-research-scientist",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K - $500K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
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      {
        "id": 106670,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/idler/jobs/D473KZp-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $400K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 108287,
        "title": "Special Projects Operator",
        "url": "https://www.ycombinator.com/companies/idler/jobs/zTROCBy-special-projects-operator",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$125K - $400K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 114955,
        "title": "Executive Assistant",
        "url": "https://www.ycombinator.com/companies/idler/jobs/nk4V3PX-executive-assistant",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$130K - $180K",
        "equity_range": "0.05% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116440,
        "title": "Offensive Security RL Researcher",
        "url": "https://www.ycombinator.com/companies/idler/jobs/BpzzPnW-offensive-security-rl-researcher",
        "location": "San Francisco",
        "type": "Full-time",
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        "role_type": null,
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    "launches": [
      {
        "id": 111319,
        "title": "idler — push the frontier of your model",
        "tagline": "Hill-climb any benchmark, for any model, in any domain using our RL environments.",
        "body": "Today, we're introducing [Idler](https://idler.ai/) – a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models.\n\nIn the last year, we’ve developed thousands of coding evals and environments for a top lab, continuously improving our product to keep pace with the frontier – even as models have gotten 8x better at long-horizon coding.\n\nNow, we're offering off-the-shelf datasets across an even broader set of capabilities: long-horizon software engineering, cybersecurity, recursive self-improvement, legal, long-horizon strategy &amp; ops, enterprise safety, and many others.\n\n[ShelfLife](http://idler.ai/collections/shelflife), our first public benchmark, is out today — a digital twin seeded with the complete operational data of a live, profitable, growing multi-brand retailer running 9 stores, 3 commerce platforms, and a multi-supplier sourcing operation. Post-training Nemotron 3 Nano on 41 ShelfLife tasks raised its Finance Agent Benchmark score from 30.0% to 41.8% (p ≤ 0.001); full results and sample tasks are available [upon request](https://idler.cal.com/d/hpkJFogs2hcjrdqiSW9kCj/30min).\n\n**Our ask. Reach out if:**\n\n* You or someone you know is working on post-training at a lab or enterprise.\n* You have 10-100 employees and you’d like to supplement your revenue by licensing your codebase or de-identified business data.\n* You know any exceptional researchers, infra engineers, or ops people looking for their next challenge. We’re hiring!\n\nWe’d love to hear from you at [hello@idler.ai](mailto:hello@idler.ai). Thanks for the support!\n\n\\-[Nalu](https://x.com/naluconcepcion), [Ivan](https://x.com/chubivan?lang=en), &amp; [Tony](https://x.com/cha0sg0d_).\n\n![uploaded image](/media/?type=post&id=111319&key=user_uploads/557067/a5fd0af4-18b9-449d-a871-63818866898d)\n\n",
        "url": "https://www.ycombinator.com/launches/SxT-idler-push-the-frontier-of-your-model",
        "votes": 12,
        "created_at": "2026-08-19T13:16:53.490Z"
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    "id": 30731,
    "name": "Maximal",
    "slug": "maximal",
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    "website": "https://www.trymaximal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Maximal is building autonomous systems to plan and move the world's freight.\r\n\r\nOur first product is a context-aware algorithmic load planning platform for full truckload (FTL) carriers. Our agents plug into a carrier's existing ERPs and communication channels, using that context to generate holistically optimized load plans. The result: carriers earn more revenue-per-mile while spending less time planning.\r\n\r\nOur founding team\r\n* grew up in 3PLs and trucking companies\r\n* studied the math behind transportation science at Cornell, Columbia, and USC\r\n* developed the technology that optimizes Amazon's distribution and fulfillment center network",
    "one_liner": "Truckload Planning at Machine Precision",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1755096535,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/maximalfreight",
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        "user_id": 535144,
        "full_name": "Leeds Rising",
        "title": "Founder/CEO",
        "founder_bio": "CEO and founder of Maximal (YC S25).\n\nCareer across logistics, fintech, devtools, massive-scale data platforms. Studied CS + Operations Research at Cornell, Columbia. Math, history of technology, philosophy of mind/ethics.\n\nGrew up in family's 3PL business, PM for Stuffstr (last-mile delivery in UK), optimized throughput as an engineer for Amazon's BOS3 DC under Kiva Robotics. Passionate about (kite-) surfing, squash, running, longevity.",
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        "linkedin_url": "https://www.linkedin.com/in/leedsrising",
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        "full_name": "Derek Ye",
        "title": "Founder/CTO",
        "founder_bio": "Building Palace. Previously tech lead at Amazon, founding eng at Arpeggi Labs (a16z), National Merit Scholar at USC.",
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    "id": 30732,
    "name": "Humoniq",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Humoniq is fully automating customer support for travel & transport industries, which outsource $20B of customer support each year. Our AI-native approach improves speed, accuracy, and satisfaction.\r\n\r\nWe handle support requests across phone, email and chat. And because we connect directly to Sabre and Amadeus, we don’t just answer questions, we fully resolve complex issues. As a result, airlines need far fewer people and travelers get help much faster.\r\n\r\nOur team is uniquely equipped to solve this challenge. We previously grew a travel management company, Flightfox (YC S12), to $25M/yr. We handled thousands of customer requests each month, which exposed the limitations of traditional outsourcing.",
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    "team_size": 5,
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
      {
        "user_id": 33409,
        "full_name": "Todd Sullivan",
        "title": "Founder/CEO",
        "founder_bio": "CEO and co-founder of Humoniq, building voice AI agents for airlines and travel agencies. Previously co-founded and built Flightfox (YC S12) to over $20m in annual sales. Before that, I was a software engineer at DoD (AU) and Raytheon.",
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        "linkedin_url": "https://www.linkedin.com/in/todsul/",
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      {
        "user_id": 2538575,
        "full_name": "Will Weber",
        "title": "Founder/CRO",
        "founder_bio": "Co-Founder at Humoniq. Previously led growth and product at Flightfox (YC S12). Also played pro soccer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/w-weber/",
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    ],
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      {
        "id": 93225,
        "title": "Humoniq - AI Contact Center for Travel",
        "tagline": "The first customer support center for travel & transport companies run by AI agents, not humans.",
        "body": "We’re [Will](https://www.linkedin.com/in/w-weber/) and [Todd](https://www.linkedin.com/in/todsul/) 👋 and we’re building the first customer support outsourcing option for travel and transport companies that doesn’t rely on humans. Instead of massive offshore teams, Humoniq runs on AI agents delivering faster, cheaper, more helpful service.\n\nWe previously built [Flightfox (YC S12)](https://www.ycombinator.com/companies/flightfox) where we grew revenue to over $22M annually, and ran support operations handling millions of customer interactions. That experience showed us how easily traditional outsourcing breaks under the pressure of travel’s unique demands, and gave us the conviction that AI is the only way to build something better.\n\n[**https://youtu.be/Fzlotm1gQzw**](https://youtu.be/Fzlotm1gQzw)\n\n# **❌ The Problem:**\n\nTravel and transport companies spend billions on outsourced customer support, and the experience for travelers is among the worst of any industry. Long waits and frustrating conversations with agents who are underpaid, poorly trained, and burned out by repetitive work are the norm. These failures aren’t accidents, they are the predictable outcome of how the system is built.\n\nTraditional business process outsourcing companies (BPOs) are designed to handle high-volume, repetitive work at lower cost than hiring a fully in-house team, but the tradeoffs in customer experience are steep. The model relies on large pools of low-wage, undertrained workers, and gaps in language or cultural context make interactions slower and less effective. For travelers, that means slow, inconsistent support and unresolved problems. For travel companies, it means unhappy customers.\n\n# **✅ The Solution:**\n\nWe’re replacing the old outsourcing model. Instead of relying on massive teams of low-wage human workers, we rely on voice and text AI agents that scale instantly, operate around the clock, and deliver consistent service every time.\n\nOur AI contact center covers both front-office support, for example, airlines handling flight changes, seat requests, or baggage questions, and also back-office tasks such as processing ticket exchanges, issuing refunds, and updating reservations. By automating both the customer conversations and the follow-up tasks, requests are resolved quickly and without handoffs.\n\nFor travelers, this means getting help right away and leaving with a resolution instead of frustration. For travel companies, it means keeping the efficiencies of outsourcing while finally delivering the level of service that makes customers happy.\n\n# **🙏 Our Ask:**\n\nOutsourcing is broken. It’s time to rebuild it with AI. If you know leaders at airlines, travel agencies, travel management companies, or large transport providers who care about customer experience, we’d love to chat. And if you’re an investor who wants to be part of replacing the old model, now’s the time.\n\nEmail: [**founders@humoniq.ai**](mailto:founders@humoniq.ai)",
        "url": "https://www.ycombinator.com/launches/OFd-humoniq-ai-contact-center-for-travel",
        "votes": 16,
        "created_at": "2025-08-21T19:06:49.717Z"
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    "long_description": "Nautilus is the first modern platform built for car washes, replacing expensive legacy systems that cost operators thousands monthly. Nautilus delivers mobile-first e-commerce, membership management, and automated marketing. Learn more at nautilus.co.",
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      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/nautilus",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/nautilus.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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      {
        "user_id": 710141,
        "full_name": "Amayr Babar",
        "title": "Founder/CEO",
        "founder_bio": "Captain at Nautilus\nAmayr holds an A.B. and a B.E. in Engineering from Dartmouth. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/amayrbabar",
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      {
        "user_id": 740687,
        "full_name": "Ali Sareini",
        "title": "Founder/CTO",
        "founder_bio": "Ali Sareini is the co-founder and CTO at Nautilus. He holds a B.S. in CS from the University of Virginia and left Dartmouth’s MEM program to build Nautilus full-time. Previously, he built critical money-movement systems at Fidelity Investments. Ali led SABRES, a private consulting firm, and serves on the board of a Missouri-based public-safety company. He got his start at Autobell Car Wash in high school — now he builds the software the industry runs on.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alisareini/",
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    "jobs": [
      {
        "id": 91602,
        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/nautilus/jobs/7eCs9m3-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $220K",
        "equity_range": "0.25% - 1.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 99954,
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        "url": "https://www.ycombinator.com/companies/nautilus/jobs/DRmdE4D-customer-solutions-engineer",
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        "url": "https://www.ycombinator.com/companies/nautilus/jobs/M1jf647-customer-success-manager",
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        "title": "Nautilus, Droptop launch integration linking carwash and quick lube reporting",
        "url": "https://www.carwash.com/nautilus-droptop-deep-integration/",
        "date": "Mar 12, 2026"
      },
      {
        "title": "AI-Powered Platform Gives Carwash an Unfair Advantage",
        "url": "https://www.carwash.com/ai-powered-carwash-management-platform/",
        "date": "Mar 04, 2026"
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        "title": "Professional Carwashing & Detailing",
        "url": "https://digital.carwash.com/html5/reader/production/default.aspx?pubname=&edid=d0d36fef-d3f1-4735-abb0-12c57d0b49bb",
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      {
        "title": "Nautilus launches carwash AI platform for NXT Wash",
        "url": "https://www.carwash.com/nautilus-carwash-ai-platform-nxt-wash/",
        "date": "Oct 06, 2025"
      },
      {
        "title": "Nautilus AI carwash platform secures $500K from Y Combinator - Professional Carwashing & Detailing",
        "url": "https://www.carwash.com/ai-carwash-platform-y-combinator-funding/",
        "date": "Aug 12, 2025"
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    "launches": [
      {
        "id": 93508,
        "title": "Nautilus: The AI platform to grow and optimize car washes",
        "tagline": "The unified platform modernizing how 80,000 car washes manage customers, drive repeat sales, and turn data into action.",
        "body": "**TL;DR:** \n\nNautilus is an all-in-one AI-powered CRM, e-commerce, and marketing automation platform for car washes. We’ve partnered with car washes nationwide, helping operators increase online sales, decrease churn, and improve retention.\n\nhttps://youtu.be/J5aY1itNYYA\n\n**The Problem:**\n\nCar wash operators are stuck with outdated POS systems and limited modern CRM infrastructure. To sell memberships, run promotions, or follow up with customers, they rely on a patchwork of tools such as spreadsheets, texting platforms, email software, and old-school portals.\n\nThis leads to:\n\n* Missed revenue opportunities\n* High churn with limited recovery\n* Zero visibility into performance\n* Limited customer data capture\n\n**Our Solution:**\n\n* Nautilus is a modern operating system for car wash growth. We Integrate with legacy car wash POS systems\n* Centralize all customer and performance data into a unified CRM\n* Provide an e-commerce storefront for online membership and member management\n* Automate SMS and email marketing triggered by customer behavior\n* Apply AI to optimize campaigns, provide insights to their legacy POS data, and surface next best actions to improve revenues\n\nOperators use Nautilus to run thousands of daily automations from upsells to win-backs, all without manual work. What used to take weeks now happens in real time.\n\n![uploaded image](/media/?type=post&id=93508&key=user_uploads/710141/04b14248-ca7c-43aa-bf4d-6db496219fd1)\n\n**Why We’re Building This**\n\nWe’re engineers and former car washers who’ve seen this problem up close. Amayr studied engineering and computer science at Dartmouth and spent two years building custom tools for car wash operators to grow online sales, manage memberships, and automate operations. Ali started as a top-performing cashier at Autobell, where he saw firsthand how outdated systems led to long lines, missed revenue, and frustrated customers. After graduating from the University of Virginia, he worked as a software engineer at Fidelity Investments before joining Amayr at Dartmouth, where we were completing our master’s degrees in engineering management.\n\nWe’ve been friends for over 10 years, and we’ve experienced the car wash problem both on the ground and from the system level. We built Nautilus to give operators the platform they’ve never had, one that’s purpose built for growth, automation, and real-time decision-making.\n\n![uploaded image](/media/?type=post&id=93508&key=user_uploads/710141/6abfb69a-5e55-4711-a9bc-224e34ecd6de)\n\n![uploaded image](/media/?type=post&id=93508&key=user_uploads/710141/da8f392e-0f75-40f9-b9f5-dee1e4feff67)\n\n**How can you help?**\n\nWe’re looking to connect with car wash owners and operators. If you know someone in the space, we’d love an intro. As a thank-you, we’ll give the referred operator our premium Compass AI product for free (a $750/month value) to help them optimize operations from day one.\n\nReach us at [founders@nautilus.co](https://mailto:founders@nautilus.co). Thank you for your support!\n\n**Welcome aboard! We’re just getting started.**\n\nGrateful to be part of the S25 crew,\n\nAmayr & Ali\n\nhttps://natlu.us/launchyc",
        "url": "https://www.ycombinator.com/launches/OKC-nautilus-the-ai-platform-to-grow-and-optimize-car-washes",
        "votes": 24,
        "created_at": "2025-09-02T14:35:23.028Z"
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    "id": 30737,
    "name": "Foresight",
    "slug": "foresight",
    "former_names": [
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      "Fluentive"
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    "website": "https://foresight.tt/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Foresight builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions. It lets organizations test countless possible moves in advance, see how each one is likely to play out, and choose the strongest path forward.",
    "one_liner": "Consumer simulations for CPG market research",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1778160677,
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    "nonprofit": false,
    "batch": "Spring 2026",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/foresight",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/foresight.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/foresight-ai-inc",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
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      {
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        "full_name": "Eytan Rozenblum",
        "title": "Founder/CEO",
        "founder_bio": "Foresight builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions. \n\nIt lets organizations test countless possible moves in advance, see how each one is likely to play out, and choose the strongest path forward.",
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        "linkedin_url": "https://www.linkedin.com/in/eytan-rozenblum/",
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        "user_id": 2615403,
        "full_name": "Antoine Bertrand",
        "title": "Founder/CTO",
        "founder_bio": "I'm Antoine, a French engineer and second-time founder. I'm a builder at heart. I enjoy solving problems, creating products people love, and scaling them.\n\nBefore launching Foresight, I co-founded a gaming platform and grew it to 100k monthly active users as CTO. Earlier in my career, I spent five years at Bloomberg building software for the global fixed-income market.",
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        "linkedin_url": "https://www.linkedin.com/in/antoine-bertrand",
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      {
        "id": 101056,
        "title": "Foresight - Understand your consumers better than ever",
        "tagline": "AI simulations to help companies predict how consumers will react before taking decisions",
        "body": "**Foresight** builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions.\n\nWe let organizations test countless possible moves in advance, see how each one is likely to play out in minutes, and choose the strongest path forward.\n\nOur clients make decisions with 25x more consumer evidence on average without increasing costs.\n\n**Foresight** is already trusted by marketers, advertisers, and insights teams across Fortune 500, retail, FMCG, and tech. In a blind benchmark with a Fortune 500 company, spanning 100+ paired estimates:\n\n* 95% accuracy against fieldwork\n* 0.88 Lin’s CCC (at the statistical threshold for method replacement)\n\n**Asks:**\n\n1. Have a use case you'd like tested? **We'll run a free audit for the first 10 companies who reply.**\n2. Intros to insights or marketing leaders are gold. Happy to return the favor!\n\n🚀 To celebrate launch week, the **first month is free** on any 3-month pilot signed before May 30. 🚀\n\nThanks 🙏\n\n**Antoine & Eytan**\n\n<https://youtu.be/96Besh6-JXU>\n\n![uploaded image](/media/?type=post&id=101056&key=user_uploads/2560156/b3505f95-a1ea-4111-8ca2-e7913d332ec9)\n\n",
        "url": "https://www.ycombinator.com/launches/QHw-foresight-understand-your-consumers-better-than-ever",
        "votes": 8,
        "created_at": "2026-05-10T18:38:05.596Z"
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    "id": 30738,
    "name": "Altur",
    "slug": "altur",
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    "all_locations": "Mexico City, CDMX, Mexico",
    "long_description": "Voice AI Agents for Debt Collection",
    "one_liner": "Voice AI Agents for Debt Collection",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B",
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    "batch": "Summer 2025",
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    "url": "https://www.ycombinator.com/companies/altur",
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    "year_founded": 2023,
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    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/alturio",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 1306452,
        "full_name": "Luis Olave",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Altur",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/luis-olave",
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      },
      {
        "user_id": 1306461,
        "full_name": "Pedro Fernández",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Altur",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pedrofdzl",
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    ],
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    "launches": [
      {
        "id": 92793,
        "title": "Altur - AI debt collection for banks",
        "tagline": "We use autonomous voice/text agents to collect debt for banks.",
        "body": "# TL;DR\n\nWe use autonomous voice/text agents to collect debt for banks. Since launching in Mexico 6 months ago, we have collected over $6M USD using only AI agents.\n\n[Our launch video](https://youtu.be/dyfmI1-Cw-A)\n\nCheck us out at [**altur.io**](https://altur.io)ㅤ\n\n# The Problem\n\nCollecting debt for banks is expensive and labor intensive:\n\n* **High churn and uneven quality:** Traditional contact centers rely on underpaid, undertrained agents, which drives turnover, inconsistent conversations, and compliance risk.\n* **Expensive and slow stacks:** Many vendors sit on third party telephony and tooling, which adds latency and cost and limits control.\n* **Weak follow up:** One shot phone calls with no coordinated text or WhatsApp follow through means low connect and conversion.\n* **Blind spots and poor iteration:** Conversational data is fragmented, so teams cannot A/B scripts, enforce policy, or grade calls at scale.\n\n**Result** = low recovery rates, high operating costs, and regulatory exposure.ㅤ\n\n# Our Solution\n\nAltur provides autonomous agents that negotiate, handle objections, and secure payments while maintaining full regulatory compliance. We run on our own telephony infrastructure, so calls are low latency and costs are predictable and scalable.\n\n* **Voice agents** with natural prosody and median sub second response.\n* **Automatic follow up** on WhatsApp that continues the same conversation.\n* **Compliance and policy engine** aligned to client rules, with automatic QA and call grading.ㅤ\n\n# Pricing\n\n* **Usage based.** Per minute pricing with a monthly minimum commit, includes a block of concurrency and standard reporting.\n* **Outcome based option.** We can also operate as the debt collector. Fixed platform fee plus a success component tied to collected amounts.ㅤ\n\n# What's Under the Hood\n\nA 100% in-house product\n\n# The Team\n\nWe are **Luis Olave** and **Pedro Fernández**. We have spent the last 2 years operating in debt collections in Mexico, first with WhatsApp chatbots and now with voice.\n\n# Our Asks\n\n* We’re working with a great set of bank and call center contacts, and would welcome introductions to more.  \n  * Especially debt collection teams at banks, fintech lenders, BNPLs, and contact centers in the US and Latin America.\n* Advice on US collections compliance and vendor onboarding, including Reg F and PCI.\n\n# Contact\n\n[**luis@altur.io**](mailto:luis@altur.io) and [**pedro@altur.io**](mailto:pedro@altur.io)\n\n![uploaded image](/media/?type=post&id=92793&key=user_uploads/1306452/4b8a20e9-84c3-46ad-a150-ab1053bbfc11)\n\n",
        "url": "https://www.ycombinator.com/launches/O8f-altur-ai-debt-collection-for-banks",
        "votes": 43,
        "created_at": "2025-08-06T17:29:56.097Z"
      }
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    "id": 30739,
    "name": "Quotain",
    "slug": "quotain",
    "former_names": [
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    "website": "https://quotain.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Quotain is AI sales roleplay software for revenue teams. Reps practice the calls they need to win against AI buyers built from your playbook, CRM context, and past calls, from cold calls and discovery to negotiations, buying committees, and screen-share demos. Every session is scored against your methodology, and reps retry the exact moment that slipped. Managers see who is ready and what to coach. Try a free practice call at quotain.com.",
    "one_liner": "AI sales roleplay built from your real deals",
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        "title": "Quotain - The AI Sales Simulator for Revenue Teams",
        "tagline": "Make the next sales call easier to win.",
        "body": "#### TL;DR\n\nThe future of sales is here. From YC startups to sellers with decades of experience, reps are using Quotain to build the perfect pitch for the exact calls they're about to walk into.\n\nRun a simulation of your prospect, uncover the strongest questions and likely objections, and leave with a refined playbook for the live conversation.\n\n<https://youtu.be/rCXQM14fBhk>\n\nTest your skills for free at [quotain.com](http://quotain.com)\n\n#### FOR REPS\n\nQuotain creates a sim that mirrors a real prospect in your pipeline. It takes in your shared context, their public info, their past objections, their tone, and more. You take the call.\n\nThen Quotain scores you, pinpoints your weaknesses, and develops a script to help you do better in the next round, so the real call closes easily.\n\nWith Quotain:\n\n* Reps ramp in weeks, not months.\n* Reps actually hit quota - average attainment today sits at a brutal \\~50%.\n\n![uploaded image](/media/?type=post&id=103246&key=user_uploads/2351489/cb460cf8-e312-477a-bccd-59733ea96652)\n\n#### PRACTICE THAT REPS ACTUALLY COME BACK TO\n\nMost sales training is a box-checking exercise. Quotain is the only platform built to keep reps coming back with some users practicing over an hour a day.\n\nIt works because it creates tangible results. Every drill not only trains the rep, but produces battle-tested scripts that can be used in real calls and by teammates. The more reps practice, the more likely the next call closes.\n\n![uploaded image](/media/?type=post&id=103246&key=user_uploads/2351489/646b991f-03d9-4a15-ab35-f18b73e84df4)\n\n### FOR MANAGERS\n\nNobody wants to spend more time in another application. Quotain lets you see your team’s metrics easily and all in one place, so you know exactly where to focus during coaching.\n\nQuotain lets you:\n\n* Prioritize specific areas for improvement when reviewing calls.\n* Automatically assign relevant drills without even going on the app.\n* Pinpoint the weakest stage for each of your reps.\n* See real pipeline progression attributed to Quotain.\n\n![uploaded image](/media/?type=post&id=103246&key=user_uploads/2351489/138baeca-0b57-4b1f-96bd-c3cf43ad4939)\n\nJason and I built Quotain because we're engineers who had to learn sales the hard way.\n\nWant to win today? Book a [demo](https://cal.com/alextalamonti/quotain-intro).",
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        "full_name": "Nathan Belaye",
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        "id": 92358,
        "title": "Sira: AI HR Manager for Hourly Teams",
        "tagline": "Sira automates time tracking, scheduling, payroll & HR for hourly teams in minutes 🤯 using AI agents",
        "body": "Hey YC 👋,\n\nWe’re Nathan & Antonio, building an AI HR manager for hourly teams. Running an hourly workforce means drowning in admin: verifying timesheets, tracking attendance, chasing down approvals. **Businesses can spend up to 6 hours a week just verifying timesheets for a team of 15 employees.** Nathan led the QuickBooks Payroll & Time Tracking app from unranked to #12 on the App Store and saw firsthand how fast this overhead grows. We automate the repetitive HR work — so owners and managers can focus on growing their business, not paperwork.\n\nhttps://youtu.be/n8Oq2jPNwhg\n\n**Problem:**\n\nManaging hourly teams is still painfully manual. Over 70% of businesses rely on paper, spreadsheets, and text chains to handle **critical tasks like scheduling, time tracking, and finding shift coverage.** The tools that do exist are clunky, built for desk workers, and assume a level of tech-savviness many frontline teams don’t have. Meanwhile, managers spend hours each week buried in admin — verifying timesheets, coordinating shifts, and chasing down approvals — instead of focusing on their people.\n\n**Solution:**\n\n![uploaded image](/media/?type=post&id=92358&key=user_uploads/2296932/9d85a882-b66f-4b5d-8eb3-c90409bf1838)\n\nWe meet hourly teams where they are — **with** **voice agents and the simplest possible app.** Our platform automates back-office HR by handling tasks like calling workers for shifts, clocking them in automatically, ensuring breaks, flagging missed punches, and completing payroll review. No more chasing, checking, or double entry — just smooth, automated execution of the work that usually slows teams down.\n\n**Do you know any business owners who pay employees hourly?** We are currently offering a 25% discount per user seat.\n\nContact - [nathan@sira.team](mailto:nathan@sira.team)",
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    "one_liner": "The Cursor for Chip Design - Delivering Silicon-Ready Chip Designs…",
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    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1752688016,
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        "full_name": "Rohil Khare",
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        "title": "SigmanticAI - The Cursor for Hardware Design",
        "tagline": "Suite of AI Agents and Tools to Accelerate HDL (Hardware Description Language) Design",
        "body": "Hey YC! We're Tamzid and Rohil from [SigmanticAI](https://www.sigmanticai.com/).\n\n**The Problem with Creating Custom Hardware**\n\n* HDL tooling hasn’t changed much since the '90s: still slow, manual, and fragmented\n* Debugging eats up majority of hardware dev time\n* There's no seamless AI-native experience for building and reasoning about HDL\n\n---\n\n**Our Solution**\n\n_SigmanticAI_. What it can do:\n\n* **Natural language to synthesizable Verilog + testbenches**\n* **RL-driven debugging** loop\n* Built-in **onboarding**, codebase **annotation**, and **spec** documentation **generation**\n* LLM-powered on both **cloud** and **fully air-gapped/on-prem** deployments\n* **Seameless** integration with **VScode** + your **existing synthesis tools** from Cadence, Synopsys, etc.\n\nWe’ve already made a RISCV CPU start to finish with it, onboarded our first paying customer, and are getting 90%+ accuracy on the VerilogEval benchmark (NVIDIA framework)\n\n---\n\n**Demo video\\\n[https://youtu.be/Cq3hpMflIA8](https://youtu.be/Cq3hpMflIA8)**\n\n---\n\n**Asks!**\n\n* We want to talk to:\n  * Anyone **working** **with** **FPGAs, custom chips, ML accelerators, or RISC-V** cores\n  * Anyone **working in EDA** \n  * Anyone **working with fine tuned LLMs for hardware**\n* **Try us out! Thank you!**\n  * [https://www.sigmanticai.com](https://www.sigmanticai.com%EF%BF%BC%EF%BF%BC)\n\n**Who We Are**\n\nWe’ve spent years working on both LLMs and hardware. After working at Apple (Tamzid) and Amazon (Rohil) and research in FPGA mapping and LLaMA fine-tuning, we realized the real bottleneck in hardware design is tooling. We’ve built custom CPUs, worked with EDA stacks, and experienced the pain firsthand. Conversations with engineers at Northrop Grumman, SciEngines, and Quadric made it clear: hardware desperately needs a smarter workflow.\n\n![uploaded image](/media/?type=post&id=92212&key=user_uploads/2407642/74a5aa7d-62e0-47f9-9e95-9bc55e7c49f1)\n\n![uploaded image](/media/?type=post&id=92212&key=user_uploads/2407642/85c5143a-36c1-43aa-84ed-eebdfd014498)\n\n",
        "url": "https://www.ycombinator.com/launches/NzI-sigmanticai-the-cursor-for-hardware-design",
        "votes": 50,
        "created_at": "2025-07-16T19:05:10.461Z"
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    "name": "Pleom",
    "slug": "pleom",
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    "website": "https://pleom.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Automatic insights on all your company data. Speed up business workflows to visualizations with a 0 learning curve.",
    "one_liner": "Agentic Business Intelligence",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1755614874,
    "tags": [
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        "body": "**TL;DR**\n\n> Today, Pleom is a website. Ask about anything by talking, showing, or sharing. Tomorrow, it will be integrated into our family of hardware devices.\n\n**What does Pleom do?**\n\nhttps://youtu.be/uH-W9BKGKT0\n\nAt Pleom, we are building AI hardware devices that everyday consumers can talk to for real-world tasks that understands your context. We’re going head-to-head with OpenAI, moving faster to market and capturing mindshare first.\n\n**The Problem**\n\nThe current form factor for how people interact with AI hasn’t changed in 5 years.\n\nTexting is also a slower mode of communication than speaking.\n\nMoreover, Artificial Intelligence lacks the context to properly respond to your questions. Products like ChatGPT fail to understand your complete digital context and have zero knowledge of the physical world context.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=93152&key=user_uploads/2354623/b50422f7-89d9-4b71-bc77-1f86a0e664eb)\n\nA real-life “Jarvis” which seamlessly connects your phones, laptops, car, home appliances, and more to build context to help consumers _ask and do anything_.\n\nOur current live solution on [pleom.com](http://pleom.com) allows anyone to talk to, share their camera or screen and ask questions and receive answers instantly.\n\nBut hardware is our focus and we are transitioning from prototyping into production to launch our first version of pocket AI wearable device with a camera, microphone, and speaker that anyone can carry around and interact with faster than using any current form factor today.\n\n**Team**\n\nRoyce - previously co-founded Bits to Atoms (YC S24) hiring cracked engineers for deep-tech startups. Graduated from Georgia Tech with both a Bachelors and Masters in Machine Learning by the age of 18. Also, worked as a Data Scientist for two years and also contributed to multiple other startups.\n\n[royce@pleom.com](https://royce@pleom.com)\n\n![uploaded image](/media/?type=post&id=93152&key=user_uploads/2354623/f7582d53-5884-4d0b-89d8-529f93bbee86)\n\n",
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        "created_at": "2025-08-20T14:26:21.613Z"
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    "long_description": "You text Pally like you’d text a friend, and it connects to everything else: your inboxes, calendar, files, tasks and the web",
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        "full_name": "Haz Hubble",
        "title": "Founder/CEO",
        "founder_bio": "High-school dropout and super connector. Previously founded the London Founder House. Designer, salesman, engineer, accountant (weird mix but it works). Building at the intersection of AI x Human Relationships.",
        "is_active": true,
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        "full_name": "Wyatt Lansford",
        "title": "Founder/CTO",
        "founder_bio": "ML Engineer in robotics & autonomy. Won the DARPA AlphadogFight Trials, built autonomous planes & robots. Acquired by Shield AI. Now building human x AI interfaces.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wyattlansford",
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        "title": "Pally - AI Relationship Management",
        "tagline": "All your pals, from all your socials.",
        "body": "![uploaded image](/media/?type=post&id=91579&key=user_uploads/978619/4443ca80-d250-46a5-8234-98a9d5852a59)\n\nHey 👋, we’re Haz and Wyatt, the founders of Pally.\n\nWe’re building Pally because in a world full of ‘AI SDRs’, our warm connections become more important than ever… Yet today, keeping track of thousands of connections across countless social platforms is impossible. \n\nWe forget to respond, we miss important moments, and we lose touch.\n\nWe’re building Pally to solve that.\n\nIf this resonates, we’d love your early feedback. Download Pally here: [www.pally.com](http://www.pally.com)\n\n# Demo\n\nhttps://www.youtube.com/watch?v=g97sd_roD14\n\n## How does it work?\n\nWe bring together all your connections, across all your socials (inc. iMessage, WhatsApp, LinkedIn, Google, Email, Calendar, and X), and then our AI researches everything they’ve ever posted online.\n\nPally uses this deep understanding of each relationship to help you:\n\n* Prepare you for meetings\n* Stay in touch with your potential customers/hires/investors (or just remind you to ring your mum from time to time)\n* Search over your network to find the right person for any query (”who do I know in New York that I’ve not spoken to in a while?”)\n* Add people to pipelines\n\nWe also added some fun relationship stats, so you can see how social you are compared to other Pally users, how each relationship is growing/declining over time, how long you take to reply vs how long others take to reply to you, and more.\n\n## Who’s it for?\n\nWe’re mostly focused on founders and investors, but we’ve also seen salespeople, recruiters, agency owners, and creators get a lot of value from Pally; essentially anyone in a role where relationships are a primary focus (and honestly, we believe in the world of AI, that’s _everyone_).\n\n## What's next?\n\nWe're excited to launch this into public beta today, learn from what our users are loving, and where they’re wanting more, and build that. \n\nOur roadmap includes adding integrations with AI meeting note takers, so all your relationship context is in one place, adding an iOS app so you have all your data on the go, and adding more agentic capabilities.\n\n# Ask\n\nPlease upvote us here and on [Product Hunt](https://www.producthunt.com/products/pally-ai-relationship-management), and give Pally a test and let us know how you get on! \n\nWe’re also hiring! If you’re interested in working with us, please email [hiring@pally.com](mailto:hiring@pally.com) with your cv.\n\nThanks for your support,\n\nHaz + Wyatt 🫶 ",
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        "votes": 149,
        "created_at": "2025-06-24T16:42:07.104Z"
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    "website": "https://www.notte.cc/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Notte is cloud browser infrastructure for AI agents. Sessions with live view and replays, residential proxies, stealth and CAPTCHA solving, authenticated profiles with account creation and 2FA, payments in the browser, and serverless functions that run next to the browser, all through one API",
    "one_liner": "Browser infra for AI agents: sessions, auth, proxies, payments",
    "team_size": 5,
    "industry": "B2B",
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        "full_name": "Andrea Pinto",
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        "founder_bio": "Founder & CEO @ Nottelabs",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pinto-andrea",
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        "full_name": "Lucas Giordano",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/giordano-lucas/",
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        "tagline": "Reliable Web Agents that can act and scrape on any site at scale",
        "body": "**TLDR;** Notte provides a platform to build and deploy web AI agents that don’t break. We turn messy, repetitive web tasks into reliable, self-healing workflows so businesses can scale automation with confidence.\n\nhttps://www.youtube.com/watch?v=uwTOpQTUfyk\n\n**Context**\n\nWe built Notte because the web was made for humans, not AI agents. Our first product was a perception layer that helps LLMs parse and understand site structure, boosting agents’ performance. But 90% isn’t enough to scale enterprise workflows with confidence.\n\n**Agent Workflows**\n\nThat’s why we launched **Agent Workflows** - where web automation meets agentic reasoning. Start an agent to discover the workflow, freeze the routine into deterministic steps, and keep agents only where it’s needed to unlock new capabilities. If a site changes, agents dynamically close the gap to ensure workflows never break.\n\nLess tokens = Less expensive = More control = Faster automation\n\n**Full-stack Ecosystem**\n\n* **Hosted Sessions** - Stealth mode and auto-scaling browser\n* **Vaults** - Credentials, MFA tokens, SSO, and cookies securely\n* **Personas** - Emails and phone numbers for account creations\n* **Payments** - Credit card payments and agentic transactions\n* **Misc** - File IO, Replays, CDP compatibility, etc.\n\n**The founders**\n\n![uploaded image](/media/?type=post&id=93601&key=user_uploads/2385904/142c16f2-bc85-464a-9b5d-63f84caa5549)\n\nHey - We’re **Andrea Pinto** and **Lucas Giordano**. We’ve known each other for 6 years and bring deep technical expertise. We led ML and LLM research at MIT, Oracle, and IBM Research, and have spent years building in the web automation space.\n\n**Asks -** SIGN UP here: https://console.notte.cc/ and shoot us a message with the hard web workflows you’re trying to address and we’ll solve them with you. Email: [founders@notte.cc](mailto:founders@notte.cc)",
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        "created_at": "2025-09-04T19:52:00.082Z"
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    "website": "https://hera.video/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Hera is an AI motion designer that turns 5-hour projects into 5-minute tasks. \r\n\r\nWhen you're a YouTuber making an infographic animation, instead of spending hours manually clicking buttons in Adobe After Effects, you can create the same animation in minutes in Hera. \r\n\r\nThrough talking to our users, we realized that 95% of time spent on motion graphics is manual button clicking, not creative work. This insight led us to focus on automating the tedious parts while giving the user all creative control.\r\n\r\nWe launched in May 2025, got 100k waitlist signups in 8 weeks, and we're doubling revenue monthly.",
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    "team_size": 5,
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "regions": [
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      "name": "Jon Xu",
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        "full_name": "Peter Tribelhorn",
        "title": "Founder/CEO",
        "founder_bio": "Building Hera to make motion design radically faster and easier. Previously acquired and managed big YouTube channels with +30m subs (e.g., Economics Explained, The Game Theorists).",
        "is_active": true,
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        "full_name": "Chia-Lun Wu",
        "title": "Founder/CTO",
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        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/hera-video/jobs/sHCLYOi-founding-software-engineer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE / Remote (San Francisco, CA, US; New York, NY, US; TW)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€90K - €130K EUR",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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        "id": 83656,
        "title": "Founding AI Engineer",
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        "location": "Berlin, BE, DE / Berlin, Berlin, DE / San Francisco, CA, US / New York, NY, US / TW / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
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      {
        "id": 83657,
        "title": "Founding Product Designer",
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        "location": "Berlin, BE, DE / Berlin, Berlin, DE / Remote (New York, NY, US; San Francisco, CA, US)",
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        "role": "Product",
        "role_type": null,
        "salary_range": "€80K - €130K EUR",
        "equity_range": "0.75% - 1.50%",
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        "visa": "US citizenship/visa not required",
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    ],
    "news": [],
    "launches": [
      {
        "id": 92051,
        "title": "Hera: Your AI Motion Designer",
        "tagline": "Hera is an AI motion designer that turns 5-hour animation projects into 5-minute tasks.",
        "body": "Hi 👋 We’re [Chia](https://www.linkedin.com/in/chialunwu/) and [Peter](https://www.linkedin.com/in/peter-tribelhorn-36a967142/), the founders of [Hera](https://hera.video/). \n\n**TL;DR:** \n\nCreating motion graphics is time-consuming and requires complicated software. Hera uses AI to make motion design radically faster and cheaper, helping users create over 50,000 animations to date.\n\n**Problem: Motion design is complicated, time-consuming, and expensive**\n\nPeter used to build YouTube channels and produced more than 240 videos. He spent thousands of dollars every week hiring motion designers to create infographics, text animations, or map animations. \n\nThere he realized that motion design is mostly about mastering complicated software with many buttons, not actual creative work. Here you can see how complicated, tedious, and time-consuming the leading tool, Adobe After Effects, is:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfBBfbxFI5I7GiBZBOEs2INi6E036flopQFfG9kZfVBl7gTUHWNX_2jnls3WG_TDRrrQ4a7tkJ5VMTVm1PM_vU0tV0HqrUnARtO10kFq_kztNYLQfDbSo42g-82UnKfbIX6dtxuug?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nAfter talking to 130 video teams, ranging from YouTube channels, marketing agencies, and corporates, we learned:\n\n1. There is **no alternative to After Effects** to create professional motion graphics.\n2. **Mastering After Effects takes years** and watching countless tutorials/courses.\n3. Hence, **video teams hire expert motion designers.** \n4. And even for expert designers, it **can take hours to create seconds of motion design.**\n\n**Solution: Hera fills this gap by making motion design fast & easy**\n\nhttps://youtu.be/NFRllovZQS0?si=0gxZ2T4xQpTZrww6\n\nStart by describing your motion graphic in plain English\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXchUYGy7SO7-gjW07OdYD_6Os16OVlcVD6uCo28jPnuH85s0Potn0URq441tpUUPQOAx2xmX5Yqn7-cUokmO1nPRwnGE2RoIXspXqkhc9XBHzvveGdbA-LuUhN6pyixDxnsVeBG?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nYou can tweak it as you like with on-canvas editing\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf6vvFbbkBwRX9SNH6hGwOV56iU_Mgwps_OccAIm53W4RK_sProVckXJr1hq1ZDxSZrM2RMXnHpkQV6l7SwV1zH4tl7zh6iyljCbYtV3M7lRJw4PxA97Uq1A7TVrlF2ZxEytwt2?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nPick an already created animation from other users and customize it\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdhIJIFYIA0rMSOiojS2b2sAOEn8bi9FFkNkxWrbfwBdMBC117t0ZKWOm44KWK8ue8OiBsKnSgoso2CKrlrybZQOK4-kjwYtq7LawTqFOv7ZDCS2OsuC3xe23RZoauto0IQJC0m?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nCreate your custom brand kit and all your animations will stay on-brand\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfPO2y1hf2SAli6G7Suqh74NJ2erroMQNOvItSUrDZU8auZBUrMz68smd_fwa9yQIgkp2h7gNZWWiDhtLwgn3Q9DonrtZhuzyxkPWATsDD3_T_aOggWiph_lLCjDcvu-y9WPuEPQA?key=ucB-AG1uSNxOnV5yBE4xiA)\n\n**Customers: Everything changed the day we couldn’t stop people from using Hera**\n\nTwo months ago, we launched Hera to creators in our network. People started talking about Hera on the internet, and we got 3,000 users who created more than 15,000 animations within one week.\n\nToday, we have more than 100k people on our waitlist asking for access (and some are even selling invite codes).\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdUpV6khJm6kOtoe-ks_d3RXXDl1u2A6sZPP8IDvC-F9pTYhiMHNtdrR2HxOCUb78qwOUf2E262ovKLBvvd7c3RT9-iq8qmQXfxtsgERRz7R0NOfwpqLtk1CZbJJcwRL1ca0LiNNA?key=ucB-AG1uSNxOnV5yBE4xiA)\n\n**Our Ask: If you answer “yes” to any of these, we’d love your help:**\n\n* Do you produce video content in-house and either already incorporate motion graphics or would like to incorporate motion graphics? \n* Can you introduce us to marketing/advertising agencies that focus on creating video advertisements? \n* Can you introduce us to video publishers (e.g., traditional publishers, YouTube channels, influencers) who might be interested in making motion design faster and cheaper?\n\nSkip the waitlist and try out Hera today: https://hera.video/join/yc\n\n👉 Contact us at [peter@hera.video](mailto:peter@hera.video)\n\nYour help can make a huge difference. **Thank you!**\n\n**Team: We know our customers and tech inside out**\n\nPeter acquired and built leading YouTube channels with +30 million subscribers at Lunar X (e.g., Economics Explained, Game Theorists). He produced +240 videos and spent thousands every week on motion designers.\n\nChia was one of the first developers at Vyond, a leading video editing solution, where he built Vyond Studio, a full-featured, drag-and-drop online video editor that is used by 20k businesses today.\n\nWe have been friends for 5 years and decided to build something together last summer.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdANyVcVkBVfrTT1t5kFkP-JSZ6Lgas72QTZ0Lq-zX36Iwzai3h7O-o2FfDnFk8fM3Zq8-sgHdFPZNa4Bis9IA_byzj_4Ysp5hT6KLsJ3qR8DDFHpmbWzbUalNkQ2rlmLmARab7Iw?key=ucB-AG1uSNxOnV5yBE4xiA)\n\n",
        "url": "https://www.ycombinator.com/launches/Nwh-hera-your-ai-motion-designer",
        "votes": 380,
        "created_at": "2025-07-10T21:24:31.293Z"
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    "id": 30759,
    "name": "Certus AI",
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    "website": "https://www.certus-ai.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Certus AI is replacing the restaurant phone line with Voice AI.\r\n\r\nRestaurants lose up to $100,000 per year per location from missed calls, lost orders, and abandoned hold lines. Staff are overwhelmed. IVRs frustrate customers. Call centers are expensive and impersonal.\r\n\r\nIt’s 2025. Guests don’t leave voicemails or wait on hold. They just move on.\r\n\r\nCertus is an AI voice agent built for restaurants. It answers every call, 24/7 — taking orders, processing deliveries, booking reservations, upselling, and handling complaints in English, Spanish, French and more. Certus is built to manage the phone line end to end, from the customer call to the restaurant tech stack, with zero human intervention required. It currently integrates with industry-leading systems like Toast, Square, Clover, UberEats, DoorDash, and more.\r\n\r\nWe’re building the voice layer of the modern restaurant — the employee they’ll never fire.\r\n\r\nWe started Certus because we lived the pain. Gurveer (CEO) grew up answering phones in his family’s restaurant and helped operate them, growing from 1 to 11 locations in 7 years. Later, he and Adam (CRO) ran a restaurant growth startup to help others increase revenue, but kept watching clients bleed cash because no one picked up the phone. So we built the solution the industry always wished existed.\r\n\r\nUntil now, this problem was considered unsolvable. But Voice AI has finally crossed the conversational chasm and 72% of consumers now prefer AI over humans as long as it means faster and better service.\r\n\r\nMore importantly, the market is begging for this. The North American restaurant industry crossed $1 trillion in 2024, and it's projected to hit $1.5 trillion in 2025. Yet over $100 billion is still lost annually to missed calls, human error, and outdated tech. As the market continues to grow, so do the losses!\r\n\r\nOur customers say it best:\r\n\r\n- “Certus changed my life overnight.”\r\n- “We were losing the ability to give great in-house service — the phone was killing us.”\r\n-  “70% of my business comes through the phone. That’s mine and my 16 staffs livelihood.”\r\n- “Before Certus, I used to lose 40 - 60 calls a day…. now my printer just stays printing!”\r\n-  “I’ve been in the business 38 years. I’ve been waiting for this since then.”\r\n\r\nCertus is here to fix the $120B phone problem — one call at a time.\r\n\r\nAnd in doing so, we’re redefining how the restaurant industry communicates forever, starting with the phone line.",
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    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
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    "url": "https://www.ycombinator.com/companies/certus-ai",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/104576510/",
    "x_url": "https://x.com/certus_ai",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 2362198,
        "full_name": "Gurveer Singh",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Certus AI. \n\nI started answering phones at my family’s restaurant at 9 and helped scale it from 1 to 11 locations. Later, I co-founded a restaurant growth startup with Adam (now Certus CRO), helping independents grow revenue across takeout, catering, and event— but clients still lost money because no one answered the phone. That’s what led me to build Certus: the solution I wish we had when I was 15 and the kitchen was on fire.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gurveer-singh-35168031b/",
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      {
        "user_id": 2365312,
        "full_name": "Adam Gamieldien",
        "title": "Founder/CRO",
        "founder_bio": "Co-founder & CRO of Certus AI. \n\nBefore Certus, I helped scale a restaurant growth startup with Gurveer, working directly with dozens of independent restaurants and closing our deals. We helped drive revenue across delivery, catering, and events — but time after time, sales fell through because no one picked up the phone. That’s what led us to build Certus. I now lead GTM and speak with operators daily to uncover what’s broken and how Certus can fix it.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adam-gamieldien-067605247/",
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      {
        "user_id": 2365310,
        "full_name": "Isaac Nichols",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Certus AI. \n\nI got my start at 16 with a full-time internship at Falcon Eye Drones. Since then, I’ve built AI systems across logistics, telecom, and restaurant tech, always focused on automation and operational leverage. Before Certus, I was a founding engineer at Hive AI, co-founded 2 startups, and built a full-stack hospitality management system. That gave me deep insight into how restaurants really run, and why fixing the phone line had to be next.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/isaac-nichols-963857251/",
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    "launches": [
      {
        "id": 92344,
        "title": "☎️ 👨‍🍳 Certus AI: Replacing the Restaurant Phone Line with Voice AI",
        "tagline": "The AI Phone System Restaurants Rely On",
        "body": "**We’re Gurveer (CEO), Adam (CRO), and Isaac (CTO),** and we’re solving the $100B+ phone problem for restaurants\n\nhttps://youtu.be/ydTdJDJMiKE\n\n## TL;DR — Certus AI is an AI voice agent for restaurants. Certus answer every call, take orders, processes deliveries, and books reservations.\n\n---\n\n### ❌ The Problem\n\nRestaurants lose **up to $100,000 per year per location** because of missed calls.\n\n* The average restaurants gets 75 calls/day from customers trying to order, book, or ask a simple question\n* 25% of those calls go unanswered on any given day\n* Every missed call = lost revenue/ angry customer\n* Call centers are expensive. IVRs frustrate customers. Staff is overloaded.\n\nThe phone is still one of the most valuable channels in hospitality, yet it costs the industry **$100B+ annually**.\n\n![uploaded image](/media/?type=post&id=92344&key=user_uploads/2362198/84bc1556-5735-4b05-8664-5054b06ba4e7)\n\n---\n\n### ✅ Our Solution\n\n**Certus AI is a multilingual Voice AI agent that answers every call:**\n\n* Takes orders\n* Books reservations\n* Processes deliveries\n* Handles complaints better than humans\n* And always upsells, increasing AOV\n\nIt answers every call, in real time, and **connects to POS, reservation and delivery systems like:**\n\n* Toast\n* Square\n* Clover\n* UberEats\n* DoorDash & more\n\n![uploaded image](/media/?type=post&id=92344&key=user_uploads/2362198/78dc0426-c23d-4db3-8144-4427fce04bc7)\n\n---\n\n### 🎯 Why Now\n\n* **72% of consumers** are comfortable speaking to AI if it means faster service\n* **LLMs and voice synthesis** have finally crossed the quality threshold for real-world use\n* **Labor costs are rising, staff is burning out**, and operators are actively searching for solutions\n* The **restaurant industry crossed $1T** in 2024 and it's bleeding $100B/year to missed calls, human error, and outdated workflows\n\n---\n\n### 👋 Who We Are\n\n---\n\nI’m Gurveer, and **I’ve been answering restaurant phones since I was 9.**\n\nMy family started with one location and grew to 11. At every stage, the phone _made or broke_ the business: missed calls meant missed orders, staff burnout, and broken operations. That chaos didn’t go away as we scaled.\n\n**In the early days, we couldn’t afford to lose revenue, BUT, we also couldn't afford to hire someone just to manage the phone.** So I became the phone guy. I was so obsessed with not missing calls that **I carried our restaurant hotline with me _everywhere:_** to the gym, school, or even parties. No joke. I’d step out mid-convo to take a catering order.\n\nLater, Adam (CRO) and I ran a growth startup for restaurants. We’d drive serious demand, but the same problem always came back: no one picked up the phone to covert that into revenue.\n\n![uploaded image](/media/?type=post&id=92344&key=user_uploads/2362198/a1a5d359-a692-4803-8a78-357383fcd24d)\n\nThat obsession, and frustration, is what led us to build Certus. The phone line is still one of the most valuable, yet broken, parts of a restaurant. **Now, it’s finally being replaced by Certus AI.**\n\n---\n\n### **💬 What Our Customers Say**\n\n> Certus **changed my life overnight.**”\n>\n> “We were losing the ability to give great in-house service… **the phone was killing us**.”\n>\n> “**70% of my business comes through the phone. That’s mine and my 16 staffs livelihood.**”\n>\n> “Before Certus, **I used to lose 40 - 60 calls a day…. now my printer just stays printing!**”\n>\n> “I’ve been in the business 38 years. **I’ve been waiting for this since then.**\n\n![uploaded image](/media/?type=post&id=92344&key=user_uploads/2362198/ea3d515c-f5fe-4c96-9bb6-6357d7f6f510)\n\n---\n\n### 🙋 Our Ask\n\n* **Do you know a restaurant group, franchise operator, or overwhelmed manger?** A warm intro would mean the world!\n\n---\n\n### 👑 Thank you!\n\nWe’re super excited to introduce you to Certus AI, but more importantly, we’re excited to build and grow alongside all of you!\n\n**– Gurveer, Adam & Isaac**",
        "url": "https://www.ycombinator.com/launches/O1Q-certus-ai-replacing-the-restaurant-phone-line-with-voice-ai",
        "votes": 30,
        "created_at": "2025-07-22T02:52:29.974Z"
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  },
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    "id": 30761,
    "name": "Reacher",
    "slug": "reacher",
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    "website": "https://reacherapp.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Reacher is an AI-powered platform that automates creator marketing workflows—from discovery and outreach to campaign management and content strategy—making marketing teams 10x more productive. \r\n\r\nWe handle the manual tasks so brands can focus on building relationships with creators while centralizing their operations in one platform to manage creators on TikTok Shop, Instagram, and YouTube.\r\n\r\n\r\n\r\n\r\n",
    "one_liner": "We automate creator marketing for the world's largest brands",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1750191046,
    "tags": [
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      "E-commerce",
      "Creator Economy",
      "AI"
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    "batch": "Summer 2025",
    "status": "Active",
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    "url": "https://www.ycombinator.com/companies/reacher",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/reacher.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reacherapp",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 839007,
        "full_name": "Jerry Qian",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO @ Reacher\nPrev @ Meta, Berkeley, NASA",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/j-qian",
        "x_url": "https://x.com/JerryQian_",
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      },
      {
        "user_id": 1366962,
        "full_name": "Bora Mutluoglu",
        "title": "Founder",
        "founder_bio": "Bay area born and raised. Cupertino native. Work, gym, hiking, nature, walking, rugby, soccer, dogs, birds, edm, heavy metal, healthy lifestyle, work. Cupertino High School -> UC Santa Cruz -> UC San Diego -> UC Berkeley -> Palo Alto Networks -> Reacher. \n\nCurrently building Reacher. The AI Brand Manager for ecommerce businesses scaling through the creator economy.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bora-mutluoglu",
        "x_url": "https://x.com/BoraMutluoglu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fd8c23ceb198400a3b742659ae87f2e47e2ad57.jpg"
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    ],
    "jobs": [
      {
        "id": 77926,
        "title": "Senior Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/D4dVC9e-senior-software-engineer-full-stack",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$115K - $200K",
        "equity_range": "0.50% - 2.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80082,
        "title": "Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/rqRLSNE-software-engineer-full-stack",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "1+ years",
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      },
      {
        "id": 80430,
        "title": "Software Engineer Intern (Fall 2025/Summer 2026)",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/HxPjZJm-software-engineer-intern-fall-2025-summer-2026",
        "location": "San Francisco, CA, US / Los Angeles, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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      {
        "id": 81897,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/44JG1fa-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $240K",
        "equity_range": "0.01% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 81900,
        "title": "Head of Customer Success",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/FeFkQWj-head-of-customer-success",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$110K - $180K",
        "equity_range": "0.01% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [],
    "launches": [
      {
        "id": 93070,
        "title": "Reacher - Marketing agent for creator collaborations",
        "tagline": "Automate creator management, campaign optimization, and content strategy so marketing teams can focus on what humans do best.",
        "body": "# **The problem we're solving**\n\nCreator marketing teams spend too much time on manual and repetitive tasks that can be automated.\n\nIf you run marketing at an ecommerce agency or DTC brand, you know the creator marketing team is manually reaching out to creators, managing campaigns across TikTok Shop, Shopify, and Amazon, while trying to stay on top of trends and optimize budgets. \n\nReacher handles these tasks so marketers can focus on what they do best: building relationships with creators.\n\nHere’s our demo video [Introducing Reacher!](https://www.youtube.com/watch?v=MAIFauroCN4)\n\n# **How Reacher works**\n\n* **Creator Discovery** - We analyze millions of creator profiles to find matches based on brand values, content focus and audience demographics. \n* **Creator Management System** - Our CRM automatically identifies where each creator is in the pipeline and knows the right message to send at the right time to increase conversion at every stage.\n* **Campaign Management** - Reacher runs creator retainers, viral challenges, contests, manages payments, and provides real-time analytics.\n* **Creative Intelligence** - We monitor viral trends, analyze competitor strategies, and track creative patterns across platforms. We auto-generate creative briefs and video scripts to enable hyper specific campaigns and drive content diversity.\n* **Multi-Platform Integration** - While we dominate TikTok Shop today, we're building the universal platform to power all creator-brand collaborations. Soon, brands selling on TikTok Shop, Amazon, and Shopify will find and manage creators from Instagram, Youtube, TikTok, X all from Reacher.\n\n![uploaded image](/media/?type=post&id=93070&key=user_uploads/839007/02d2cbe8-0f3e-43e3-99d4-b47824431757)\n\n# **Why this is the future**\n\nNowadays, most brands are discovered through creator content, sell products through creator affiliates, and build their entire customer acquisition around user generated content at scale. \n\nEvery company will eventually need creators making content across every platform. We're building the infrastructure so any brand can instantly find and work with creators on YouTube, Instagram, TikTok, X, Snapchat and even Pinterest - wherever their customers are.\n\n# **How to get started?**\n\nWe power creator collaborations for any company from small businesses to household name enterprise brands. Learn how we can help your business grow through creator content. Book a demo [HERE](https://meetings.hubspot.com/reacher).\n\n![uploaded image](/media/?type=post&id=93070&key=user_uploads/839007/12ea83ee-9e59-45da-ab46-3a5b78113ebd)\n\n![uploaded image](/media/?type=post&id=93070&key=user_uploads/839007/1a0ef1a7-7c2b-4296-b843-7450be56cdb7)\n\n",
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        "full_name": "Catherine Jue",
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        "created_at": "2025-07-31T16:55:43.448Z"
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        "full_name": "Cole Robertson",
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        "founder_bio": "Co-Founder and CTO of Rebulk. Previously Head of Engineering at Chipp, an AI startup, and engineer #3 at Tropic, where he helped scale the company from seed to Series B. Earlier experience includes developing aviation products at Garmin. Also built a SaaS consulting business focused on MVP development, generating $300K in just over a year. ",
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        "title": "Rebulk - Accurately measure and monitor bulk inventory",
        "tagline": "We turn your bulk inventory into accurate 3D visualizations so you know exactly what’s on the ground and what's happening to it",
        "body": "👋 Hey all! We’re Warren and Cole -- co-founders of [Rebulk](https://rebulk.com)**.**\n\n**TL;DR**\n\nBulk inventory is hard to track. Most companies still rely on rough estimates or expensive surveys that often miss the mark. We built Rebulk to fix that. Our drones and cameras scan your site and create a precise 3D reconstruction, so you always know exactly how much material is on the ground. We’ve got real-world experience and are already working with a major ag distributor. Know someone in ag, mining, or construction who deals with bulk materials? Send them our way: [founders@rebulk.com](mailto:founders@rebulk.com)\n\n**Problem**\n\nBulk inventory tracking is broken. Companies either rely on guesstimates or pay for expensive manual surveys which are still off by 20 to 30 percent. Without accurate numbers, it’s hard to plan logistics, like how many truckloads are needed. And it creates accounting issues by misreporting inventory value, hurting financial planning and leading to missed opportunities.\n\n**Solution**\n\nRebulk figures out what your inventory is, turns it into a 3D reconstruction, and tells you exactly how much you have, in both volume and weight. If your piles are smaller and indoors, like in a shed, we’ll use a fixed camera. If they’re bigger and outside, we’ll fly a drone to map them. And we don’t just stop at giving you the numbers. We plug into your system so the data helps you make real decisions, not just sit in a spreadsheet.\n\n**The Team**\n\nWe’ve lived this problem, and we know how to solve it. Warren saw it firsthand as a Product Manager at Milk Moovement, a Series A AgTech startup, working closely with bulk feed suppliers and managers to plan logistics. He also launched drone delivery programs at Chick-fil-A.\n\nCole was Head of Engineering at an AI startup and engineer #3 at Tropic, where he helped scale the company from seed to Series B. He started his career building aviation products at Garmin. That mix of hands-on technical work and leading high-performing teams is exactly what we need to build reliable tools that work in the real world.\n\n![uploaded image](/media/?type=post&id=92243&key=user_uploads/506363/d97fecbc-12a6-4b7e-8828-2699d3a17af9)\n\n**Traction**\n\nWe’re already working with one of the largest agricultural feed distributors to roll out our solution.\n\n**Ask**\n\nIf you know anyone in agriculture, mining, or construction who works with bulk materials, let us know! Even if it’s something we haven’t mentioned, or if you’re not sure counts as bulk inventory, we’d still love to learn more. We’re always curious and often surprised by the types of bulk inventory that don’t live in traditional boxes and barcodes.\n\nContact us at: [founders@rebulk.com](mailto:founders@rebulk.com)\n\n![uploaded image](/media/?type=post&id=92243&key=user_uploads/506363/6a28a0db-9489-4b8a-943f-7e096519535f)\n\n",
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        "title": "Pollen: AI agents for customer success",
        "tagline": "AI agents that make every customer feel like they’re your first.",
        "body": "Hey everyone 👋\\\n\\\nWe’re[ Noah](https://www.linkedin.com/in/noah-yin/),[ Jeffrey](https://www.linkedin.com/in/jeffreyyum/), and[ Aldrin](https://www.linkedin.com/in/aldrin0n9/) - Co-founders of [**Pollen**](https://www.pollen.cx/).\\\n\\\n**TL;DR:** Pollen monitors every customer account 24/7 with AI agents that catch churn, spot upsells, and tell your team exactly what to do next.\n\n* **Connects to your stack** - email, support tickets, product usage, CRM, and external news feed into one unified view of account health\n* **AI agents watch every account** - detecting churn risks and upsell opportunities as they emerge\n* **Tells you exactly what to do** - prioritized list of accounts and suggested actions with context\n* **Act without leaving Pollen** - draft emails, prep QBR decks, build renewal strategies, or chat with Pollen to get instant answers across your entire book of business\n\n**The Ask:** Know a Founder, CS leader, or Head of Revenue who's scaling their team and losing sleep over churn?\\\n**Introduce them to us!** Reach out directly: [**founders@pollen.cx**](mailto:founders@pollen.cx) / book a demo[ here](https://cal.com/pollencx/pollen-demo).\n\n<https://youtu.be/RsvdT5sXEvY>\n\n**❌ The Problem**\n\nCompanies invest millions acquiring customers, but the customer success teams responsible for retaining and growing them are stretched thin - managing 40+ accounts each, piecing together signals across 5+ sources. Churn risks go unnoticed, and expansion opportunities are left on the table.\n\nOur team spent months shadowing CSMs, sitting in on QBRs, and studying how accounts slip through the cracks.\n\n**The same patterns kept showing up:**\n\n* Watching healthy-looking accounts churn because no one caught the warning signs in time\n* Spending hours prepping QBRs with stale data pulled from five different tools\n* Hiring more CSMs as the only way to maintain coverage\n* Knowing the signals existed, just not having the bandwidth to act on them\n\n**Why hasn't this been solved?**\n\nBecause existing CS platforms are dashboards, not teammates. They organize data but still depend entirely on humans to monitor, interpret, and act across every account. The industry's answer to more customers has always been more headcount, which doesn't scale.\n\n**✅ Our Solution**\n\nPollen gives every customer account its own AI agent. We connect to your email, support tickets, product usage data, and external news to **detect real churn and upsell signals.**\n\nThen, Pollen flags exactly **which accounts need attention today, why, and what to do next.** Need to send a re-engagement email? Pollen drafts it. Prepping for a QBR? Pollen builds the deck. Wondering which accounts are most at risk this quarter? Just ask.\n\nNo more busy work or scaling headcount just to keep relationships alive. Pollen’s goal is to make every customer feel like they're your first.\n\nWe're already monitoring accounts for companies that are scaling their CS motion with Pollen. We've caught usage dips, support ticket sentiment shifts, and even expansion signals like new office openings. These were all signals the CS teams didn't have the bandwidth to find.\n\n**👬 The Team**\n\nWe're **Noah** (Berkeley CS), **Jeff** (Berkeley EECS), and **Aldrin** (Berkeley CS), a team of college friends and founders who've been shipping products together for 4 years, now building the agentic platform for customer success.\n\n![uploaded image](/media/?type=post&id=97932&key=user_uploads/2573316/b2ccf6c9-04e6-4650-81e7-3e50672971a1)\n\n",
        "url": "https://www.ycombinator.com/launches/PTY-pollen-ai-agents-for-customer-success",
        "votes": 25,
        "created_at": "2026-02-18T21:25:06.621Z"
      }
    ]
  },
  {
    "id": 30768,
    "name": "Okibi",
    "slug": "okibi",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2add42dcef83667e3ac21f0eabb0f202583f5d0c.png",
    "website": "https://okibi.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Okibi generates a CLI from any product's codebase, so AI agents can use it the way people do.\r\n\r\nAgents are becoming software's next customers. When one comes to a product to do a task or purchase and finds no doorway in, it moves on to the competitor whose CLI lets it through. Okibi turns products into CLIs and agents into customers.\r\n\r\nDoorDash, Mercury, Gusto, Ramp, and 30+ other companies have already launched first-party agent CLIs. Okibi is how every product gets one.",
    "one_liner": "Turns products into CLIs and agents into customers",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1752707566,
    "tags": [
      "Developer Tools",
      "SaaS",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/okibi",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/okibi.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/okibi-ai",
    "x_url": "https://x.com/okibi_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2add42dcef83667e3ac21f0eabb0f202583f5d0c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 539005,
        "full_name": "Mahyad Ghassemi",
        "title": "Founder/CEO",
        "founder_bio": "2x YC founder building a web app to create AI coworkers using natural language, think of it as Lovable but specifically designed for AI agents.\n\npreviously built the first web browser designed for work with AI agents built in @SigmaOS (S21), used by 100,000+ people with 75,000 LLM requests per day.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mahyad-ghassemi/",
        "x_url": "https://twitter.com/MahyadGhassemi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fce85c1b4ac5ed873104ac712da55650c69516ff.jpg"
      },
      {
        "user_id": 286297,
        "full_name": "Saurav Mitra",
        "title": "Founder/CTO",
        "founder_bio": "Building Okibi (S25) to create AI coworkers using natural language, like Lovable but specifically designed for agents.\n\nPreviously built SigmaOS (S21), the agentic browser built for work. Used by 100,000+ people.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thesauravmitra/",
        "x_url": "https://www.twitter.com/thesauravmitra",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65318fee772e03105f7ea545a50aff50921896a0.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 114523,
        "title": "Okibi - Agent-ready CLIs",
        "tagline": "Turn your product into a CLI, and agents into customers",
        "body": "Hey everyone, we're Mahyad and Saurav, the founders of Okibi.\n\n**TL;DR** [Okibi.ai](http://Okibi.ai) turns your product into a CLI, so AI agents can use it just like your users do.\n\nAgents are becoming the main users of our apps and softwares, but most of those products still aren't designed to be fully usable by agents.\n\nDoorDash, Mercury, Gusto, and 30+ others have already launched agent-ready CLIs.\n\n**Okibi generates yours.**\n\n<https://youtu.be/LANzB5DZ7_s>\n\n### **Problem**\n\n**The shift.** Work has quietly moved into agentic tools like Claude and Codex. The person who used to open your app now sends their agent. Agents create 90% of new Supabase databases and 2/3 of Mintlify docs traffic.\n\n**The gap.** Agents can read everything, but signing up, configuring a project, or placing an order, is another story. With MCPs, you'll give the agent too many tools at once and it'll start using the wrong ones. With direct API calls, the agent has to individually call endpoints for complex workflows or polling loops.\n\n**The turn.** Claude Code and Codex proved it; agents do their best work in the terminal, and a CLI is how your product shows up there. No tools need to load up front, because agents can discover what they need when they need it through progressive disclosure with --help, and all complex workflows are pre-built so it doesn't have to figure it out on the fly.\n\n**The proof.** Companies are already shipping agent-ready CLIs. Even Notion, with one of the best-known MCP servers, shipped one.\n\nAn agent that struggles to use a product will go to a competitor that it won't struggle with.\n\n**Okibi is how you become that competitor.**\n\n### **How it works**\n\nBuilding a toy wrapper CLI is easy. Building an agent-ready production CLI is a different story.\n\n**Research.** Okibi **reads all of your APIs, SDKs, MCPs, and researches similar products** to yours and defines the standard for your product's commands.\n\n**Build.** We build your entire product as commands in a CLI, with structured JSON output, descriptive errors, and dry-runs with input validation.\n\n**Customize.** You can keep customizing the commands that are generated through our agent.\n\n**Verify.** This isn't just \"it compiles\". Commands run in a real sandbox, the outputs are checked, and **the CLI is fully evaled for agent use.**\n\n**Ship.** You get a compiled binary with a skill file baked in, so an agent that installs it already knows how to use your product.\n\n**Maintain.** Whenever your product updates, **Okibi mints the changes and maintains your CLI for you.**\n\n**Identity.** Even with a CLI, an agent can't set up an account for your user. With **Okibi Identity, the agent can set up the account** and continue working uninterrupted. And that's how you get agents as customers!\n\n![uploaded image](/media/?type=post&id=114523&key=user_uploads/539005/aaf9f512-390f-4a14-85ca-9bfb8db5a29c)\n\n### **About us**\n\nWe've been building software together for almost a decade, and this is our second YC startup. At SigmaOS (S21) we built the first browser with built-in agents. Since then, every time we wanted our agents to use a product, we generated a CLI for it, since MCPs weren't enough for the job. It happened enough times that we're now building it for everyone.\n\n### **Our ask to you**\n\nIf you are building a product that you want agents to use, **please reach out to us**! We would love to learn what you are building and how you are letting agents use your product.\n\nYou can also head over to [okibi.ai](http://okibi.ai) to turn your product into a CLI\n\nBook a call: <https://calendly.com/m-cal-uvfs/okibi-customer-call>\n\nEmail: [m@okibi.ai](mailto:m@okibi.ai)",
        "url": "https://www.ycombinator.com/launches/Tn9-okibi-agent-ready-clis",
        "votes": 34,
        "created_at": "2026-09-10T14:09:32.663Z"
      },
      {
        "id": 92336,
        "title": "Okibi | The agent that builds agents 🤖",
        "tagline": "Effortlessly build automations and agents using simple prompts",
        "body": "Hey everyone 👋\n\nWe are [Mahyad](https://x.com/MahyadGhassemi) and [Saurav](https://x.com/thesauravmitra), the co-founders of [Okibi](https://okibi.ai)\n\n# TL;DR\n\n**Okibi is a web app that lets you create AI agents using natural language**. You can think of it as Lovable for Agents.\n\n**Our ask:** try it out [@ijustwannabuild.ai](https://ijustwannabuild.ai), and [book a call with us](https://calendly.com/d/cq3k-yhy-g6d/user-interviews)! We’d love your feedback and what kind of agents you need for your company\n\nhttps://youtu.be/3cZWA9SAohM\n\n# ❌ The problem and why we care to solve it\n\n![uploaded image](/media/?type=post&id=92336&key=user_uploads/539005/cd13cafb-1a52-4dba-a8d7-92d71516dbfa)\n\nThe two of us have been **building software for over 10 years** and **working together for the past 7.** Actually, This is also **our second YC startup together**. At our previous company, SigmaOS (S21), where we built the first browser with built-in agents, we **ran into a ton of repetitive tasks** and **had to build many agents for our own product**. Automating those tasks was **slow and complicated**. We often ended up doing things manually or relying on partial solutions like Zapier, Lindy, custom scripts, or hacked-together LLM tools. The agents we did build for our product also eventually became **messy and hard to maintain**.\n\nCreating AI agents typically requires **complex**, **time-consuming** **setup**, including **tool calls**, **LLM syntax management**, **multi-agent orchestration**, **browser use**, **human in the loop**, **evals**, and **hosting deployments**.\n\nSo, when building agents two primary challenges always come up:\n\n* Evals\n* Architecture and Infrastructure\n\n# **✅ How Okibi solves it for you**\n\n![uploaded image](/media/?type=post&id=92336&key=user_uploads/539005/e323bc33-463f-42f7-ad7a-daf85d3ceb03)\n\n\nOur web app provides a **chat interface and toolkit to easily create AI agents**. Just describe your agent in natural language, similar to vibe coding, and our app **automatically generates your agent's tool calls, human in the loop, browser use, and runs an initial eval on your agent.**\n\nWhether you're building an **internal workflow automation** to remove repetitive or time consuming tasks, or **launching a product with** **agents**, Okibi can help you build it.\n\nWe are currently **working with** **15 YC companies** from the current and previous batches to automate tasks like:\n\n* Pre-qualify companies with the right person at those companies to sell your product to\n* Generate invoices and update their invoice trackers based on email and contract\n* Pre-meeting prep for client or sales lead call\n* Generate pricing and proposal based on meeting notes and existing contracts\n\nhttps://www.loom.com/share/2c038ed7243a4984a0b8224c2e24eacb?sid=cec442cb-88cf-4b75-b9bf-84b7fa3618de\n\n# 🤖 Ready to start automating with agents?\n\nHead over to [ijustwannabuild.ai](https://ijustwannabuild.ai), and…\n\n![uploaded image](/media/?type=post&id=92336&key=user_uploads/539005/3a716ad3-1715-4646-a37a-80045f928406)\n\n",
        "url": "https://www.ycombinator.com/launches/O1I-okibi-the-agent-that-builds-agents",
        "votes": 155,
        "created_at": "2025-07-21T21:10:06.804Z"
      }
    ]
  },
  {
    "id": 30769,
    "name": "Juxta",
    "slug": "juxta",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e2406b819c520b6b5c6f58e45423c720bf0661d.png",
    "website": "https://juxta.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Juxta is creating the first Universal Positioning System (UPS) — a GPS alternative that can monitor movement anywhere on earth with no new hardware, minimal internet connection, and remote deployment. Using custom machine learning models and a first-of-its-kind synthetic fingerprinting technology, Juxta can make any indoor, outdoor, or underground space location-aware in minutes for a fraction of the cost of any other geospatial technology.\r\n\r\nJuxta's UPS can be leveraged across industries — from securely tracking soldiers in combat zones to providing offline positioning for robots to offering asset tracking in warehouses and ports around the globe.",
    "one_liner": "Building a GPS alternative 100x more powerful with no hardware needed.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1751908614,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/juxta",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/juxta.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/use-juxta/",
    "x_url": "",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e2406b819c520b6b5c6f58e45423c720bf0661d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1967850,
        "full_name": "John Ferrara",
        "title": "Founder/CEO",
        "founder_bio": "Prev. Northwestern data science + journalism; CEO at Juxta, working to create the next frontier of asset and personnel tracking!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ferrara-john/",
        "x_url": "https://x.com/byjohnf",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77294415a149a6787039620263367600a7b4ec64.jpg"
      }
    ],
    "jobs": [
      {
        "id": 105582,
        "title": "Data Collection/Processing Intern",
        "url": "https://www.ycombinator.com/companies/juxta/jobs/goX2NaF-data-collection-processing-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Product",
        "role_type": null,
        "salary_range": "$2K - $4K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 91937,
        "title": "Juxta — a GPS alternative 100x more powerful, with zero external hardware.",
        "tagline": "Track anyone, anything, anywhere on earth in an instant.",
        "body": "Hi! We’re building Juxta — a new way to track people and things anywhere around the world with zero external hardware required (i.e. satellites, beacons, free-floating chips, etc). We let businesses, defense agencies, and consumers instantly map an area and make it location aware in minutes. It’s super cheap, can work offline, is unjammable, and has truly universal coverage.\n\nhttps://youtu.be/9A8X8NIbPBM\n\n**Why current tracking methods don’t work**\n\nMost tracking technologies today fail where people actually live and work. Over 90% of human activity happens indoors, yet GPS simply doesn’t function in enclosed spaces, and beacon systems like BLE or UWB cost upwards of $250,000 per site to install and maintain. Even outdoors, GPS breaks down in forests, dense urban areas, warzones, and remote regions—anywhere signal is weak, jammed, or obstructed. These limitations make traditional tracking systems expensive, unreliable, and fundamentally incomplete for real-world use.\n\n**Introducing the Universal Positioning System (UPS)**\n\n* Zero hardware, all on-device.\n* **Remotely deployable: map anywhere _from_ anywhere**\n* **Works anywhere: indoors, outdoors, underground.**\n* Capable offline, unjammable, end-to-end encrypted.\n* Tracks anything with an IMU: phones, robots, vehicles, machinery.\n* Juxta delivers GPS-level (or better) accuracy at a fraction of the cost — with 10x the global coverage.\n\n![uploaded image](/media/?type=post&id=91937&key=user_uploads/1967850/5c399c68-3b89-4f55-b150-21d0e11d6ce9)\n\n**How UPS works**\n\n1. Upload floorplans or satellite imagery to our web portal.\n2. We vectorize layouts, generate 3D spaces, and simulate millions of hyper-realistic movement paths.\n3. AI trains on this synthetic data to reduce drift.\n4. Models deploy directly to user devices — **no manual setup or hardware required.**\n\n**It already works and has tons of applications**\n\n* _Defense:_ Track personnel/assets in the field — no signals needed or frequencies emitted.\n* _Robotics:_ Signed deals with companies like RC Mowers needing non-visual, offline positioning.\n* _Warehousing/Logistics:_ Track assets in ports/facilities with no beacon install.\n* _Healthcare:_ LOI signed to track patients via existing medical monitors.\n\n**Get started with hardware-free, remotely deployable tracking…**\n\n* Book a demo at: [usejuxta.org](http://usejuxta.org)\n* Email me: [john@usejuxta.org](mailto:john@usejuxta.org)",
        "url": "https://www.ycombinator.com/launches/Nur-juxta-a-gps-alternative-100x-more-powerful-with-zero-external-hardware",
        "votes": 70,
        "created_at": "2025-07-08T17:28:20.352Z"
      }
    ]
  },
  {
    "id": 30770,
    "name": "Button Computer",
    "slug": "button-computer",
    "former_names": [
      "Vibe Code Go"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd3ef287c6a9d9e31ec9e8347a2eeae128d1893d.png",
    "website": "https://buttoncomputer.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re launching a small hardware device: a button that you clip to your shirt. You press it to talk to AI, and it responds instantly.",
    "one_liner": "The tiny computer built for voice AI.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1755546681,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/button-computer",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/button-computer.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/buttoncomputer",
    "x_url": "https://x.com/buttoncomputer",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/buttoncomputer",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd3ef287c6a9d9e31ec9e8347a2eeae128d1893d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1273646,
        "full_name": "Chris Nolet",
        "title": "Founder/CEO",
        "founder_bio": "I was previously a Staff SWE at Apple, where I worked on the Vision Pro. Although I've spent much of my career on software, I have a background in mechanical engineering, and a deep passion for product design. I'm a second-time founder and former venture partner. Now I'm working on conversational computing, and I'm excited to bring voice AI to the masses.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chrisnolet",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1aff4ca15a111af415aaad465abc2671cb2bdc6.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 98398,
        "title": "Button is the fastest way to chat with AI",
        "tagline": "The tiny computer built for AI",
        "body": "Hey YC!\n\nWe’re Chris and Ryan from Button Computer. We’re dropping some new hardware!\n\n<https://youtu.be/BA37YK305y4>\n\n# **TL;DR**\n\nToday we’re launching a small hardware device: a button that you clip to your shirt. You press it to talk to AI, and it responds instantly.\n\nIt’s a computer. You wear it. You talk to it. It’s a companion device for your phone and laptop.\n\nBut it also runs ‘voice apps’ with an architecture that’s specifically designed for _speed_ – because when you’re talking to your computer, everything needs to be **instantaneous.** We’re obsessed with latency. Button is by far the fastest voice AI experience we’ve tried.\n\n![uploaded image](/media/?type=post&id=98398&key=user_uploads/1273646/22d485b8-deff-468f-bd83-70b758432e34)\n\n# **What makes Button unique**\n\nEvery computer that you use today was designed before AI. Your phone. Your laptop. Your watch. They were all built for a world before LLMs. Button really is the first piece of hardware designed exclusively to give you instant access to voice AI. And when you build something from the ground up, you get the opportunity to do it right.\n\nIt takes 6 to 10 seconds to pull out your phone, unlock it, find and launch an app. The Action Button helps. But having a wearable that will give you an answer in _half a second_ is an order of magnitude more useful.\n\n# **Privacy and intentionality**\n\nButton is also a computer that follows your lead. It doesn’t try to predict your behavior. We don’t track you. It doesn’t notify you or distract you. It’s a tool that you control. You press the button to talk to AI… Our job is to empower you, and then get out of your way.\n\nWe care a lot about your privacy. Button doesn’t listen to your private conversations. It can only hear you when you press it.\n\n![uploaded image](/media/?type=post&id=98398&key=user_uploads/1273646/f1103ec0-5a3c-4553-b3f1-b1a2eccc6bd7)\n\n# **Our friendship**\n\nWe worked together on Vision Pro at Apple. After Ryan moved to Colorado, we stayed close. Chris visited Ryan and his family for Christmas, and Ryan was the best man at Chris’ wedding.\n\nWe’ve both had previous startups and we’re excited to do this one together!\n\n![uploaded image](/media/?type=post&id=98398&key=user_uploads/1273646/9116d254-c670-48ad-8548-d66868cac9c9)\n\n# **Our ask**\n\nIf you know of anyone who believes in the future of voice AI, we’d love to meet them! If you’re an angel, please feel free to book a time directly at: <https://cal.com/chrisnolet>.\n\nThank you for your support in building the future of conversational computing!\n\nWebsite: <https://buttoncomputer.com>\n\n![uploaded image](/media/?type=post&id=98398&key=user_uploads/1273646/daf19bcb-b90f-41fd-8529-7c6eafce0199)\n\n",
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        "created_at": "2026-03-03T14:56:27.083Z"
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        "tagline": "Visually build your apps frontend right inside your browser on localhost.",
        "body": "# **TL;DR**\n\n**stagewise is a frontend coding agent for production codebases**\n\n→ ❌ No more tedious context switching\\\n→ 🤝 Works with all kinds of web app frameworks\\\n→ 🚀 Integrates into existing, production-grade apps\n\nGet started now on [stagewise.io](https://stagewise.io#quickstart) and use the code **STAGELAUNCH** to **get 25% off for 3 months**! 🎉\n\n‎\n\n# **WATCH THE DEMO**\n\nhttps://youtu.be/q7JFZBEfyjo\n\n---\n\n---\n\n# **ABOUT US**\n\nWe’re **Julian** and **Glenn**, and we’ve built **stagewise** because we wanted to quickly iterate on app frontends with AI - even if they’re not just simple prototypes anymore, but real projects.\n\n‎\n\n# **THE PROBLEM**\n\n**AI-powered app builders work great - until they don’t.**\n\nOnce you move into a production-grade project setup on your local machine, you lose the awesome experience of visually building your apps frontend with simple prompts.\n\nYou move from tools like **v0 or Lovable** to tools like **Cursor and Claude Code**, but there’s a catch.\n\n**AI code editors are** **not good at building frontends**, because:\\\n→ They don’t understand your apps user experience\\\n→ They don’t see your browser content, but only the codebase\\\n→ You have to switch between browser and IDE all the time\n\n‎\n\n# **THE SOLUTION**\n\nWith stagewise, we’ve developed an **open-source** and **framework-independent** toolbar that brings our frontend coding agent **right into your web app on localhost**.\\\n\\\nHere’s how it works:\\\n→ You prompt changes by clicking and commenting on elements in your app\\\n→ We automatically collect browser and app metadata\\\n→ The agent makes precise changes to your local codebase\n\nThe toolbar has already surpassed **4,800 GitHub-stars** ⭐️ and **130,000 downloads 📈**\n\n‎\n\n# **OUR VISION**\n\n_We believe that the best user experiences are built by **iterating fast** and putting yourselves **in the shoes of your user**._\n\n_Our product enables teams to do exactly that - and we continue to work on a future, where awesome production-grade user experiences can be built lightning-fast and without coding skills._\n\n‎\n\n# **JOIN OUR COMMUNITY**\n\n👾 [**Join us on Discord**](https://discord.gg/DjMqMnUVCh)\\\n𝕩 [**Follow us on X**](https://x.com/stagewise.io)\\\n**📬 Contact [Julian](https://mailto:julian@stagewise.io) or [Glenn](https://mailto:glenn@stagewise.io) via mail**\n\n![uploaded image](/media/?type=post&id=92464&key=user_uploads/2819631/ef40781f-3dfc-45ed-984e-f347f6c60e0c)\n\n",
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        "created_at": "2025-07-25T20:30:11.898Z"
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        "full_name": "Sid Rajaram",
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        "title": "Clodo - Vibe GTM",
        "tagline": "Execute outbound at the speed of thought.",
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        "votes": 14,
        "created_at": "2026-01-15T19:55:12.039Z"
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        "id": 91065,
        "title": "Founding Algorithm Developer",
        "url": "https://www.ycombinator.com/companies/fleetline/jobs/az5DIjt-founding-algorithm-developer",
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      {
        "id": 92822,
        "title": "Fleetline 🚛 Optimizing Fleet Planning with Data Driven Algorithms",
        "tagline": "Combining LLMs with advanced optimization to unlock algorithmic load planning for all fleets, in all situations ",
        "body": "# TLDR:\n\nToday’s fleets are **stuck between two failing approaches to load planning**: human dispatchers drowning in complexity (driver preferences, regulatory constraints, shifting schedules, and more) or inflexible algorithms blind to tribal knowledge and driver nuance. We solve this by combining advanced optimization with LLMs that can adapt algorithms to deliver intelligent planning for real-world operations. \\\nhttps://youtu.be/9LHYILVw6ks\n\n# **💥 The problem:**\n\nPlanning just one week of routes for a 50-truck fleet involves **more possible combinations than there are grains of sand on Earth**. For humans, consistently piecing together reasonable combinations is difficult. Making optimal ones is impossible. Dispatchers juggle:\n\n* Regulatory constraints, like drivers’ hours of service\n* Complex forecasts, like considering the likelihood of receiving a load from a flaky customer\n* And human preferences, like a driver’s disdain for a specific commodity\n\nThis complexity forces fleets to effectively **silo their operations**—assigning each dispatcher a subset of trucks to manage. **Instead of coordinating as a cohesive operation, fleets become mini-operations, resulting in load mismatches and under-utilized capacity.** For a low-margin industry like trucking, those inefficiencies are the difference between making or missing payroll. \n\nIn response, some fleets have adopted expensive load planning algorithms. While these traditional solutions are a marginal improvement over manual work, they fail to meaningfully solve the problem. \n\nRigid algorithms operate like complete black boxes, often leaving dispatchers with a lack of confidence in their decisions. Deterministic algorithms cannot be responsive to the soft preferences of either the fleet or the driver. For example, dispatchers may have to reshuffle their planning board because an algorithm cannot optimize for a driver needing to be home early one day for his daughter’s recital. \n\nThat means the algorithm's recommendations are largely not followed or, if they are, drivers are left unhappy. With an active driver shortage, fleets can’t tolerate the latter. \n\nTrucking is a trillion-dollar industry, yet its biggest players have no good option for load planning. \n\n# **✅ The solution:**\n\n**Fleets no longer have to choose between two existentially threatening options with Fleetline.** By combining traditional advanced optimizations with LLMs, we created a solution that allows fleets to optimize their schedules while being adaptive to soft preferences and surprises. All users need to do is prompt our AI agent with any changes / added constraints to include in the optimization algorithm, and the load planning is re-done. \n\nFor example, if a driver at a fleet needs to make it back home by 2 PM on a given Tuesday to see his daughter’s recital, instead of manually scrambling the planning board, our AI agent can re-optimize around the new constraint. \n\nWe’re already working with large fleets in California and talking to others across the country.\n\n# **🏋️‍♂️ The team:**\n\nSaurav and Veer are lifelong friends who have been working on projects together since they were 14. Saurav graduated from UIUC and has worked at Icon, Meta, and Nvidia, and is a previous founder (Blast AI). Veer was pursuing his master’s at USC, was a nationally ranked high school and college debater, and is an exited founder. \n\nWe’re excited about building revolutionary tech for a trillion-dollar industry that is functionally the backbone of the country. \n\n# **📈 Vision:**\n\nA dynamic algorithm unlocked by LLMs will allow fleets of any size to find value in our optimization software. \n\n### **Our ask:**\n\nPlease let us know if you have any connections at all in the trucking or logistics space 🙂\\\nWould also love to talk to anyone who has built RL environments or dynamic programming algorithms at scale!\n\n\\\nContact us at [founders@fleetline.ai](mailto:founder@fleetline.ai) ",
        "url": "https://www.ycombinator.com/launches/O98-fleetline-optimizing-fleet-planning-with-data-driven-algorithms",
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        "created_at": "2025-08-07T21:08:34.390Z"
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    "long_description": "Magnetic scans client documents - from handwritten charity notes to excel spreadsheet Schedule Cs to multi-state K-1s - and enters them into tax software automatically, saving hours of tedious data entry. \r\n\r\nThe accounting profession is facing a massive talent shortage, as graduates choose different professions and the old guard begins to retire. As a result, CPA and tax preparation firms are awash in clientele, but unable to keep up. At many firms, phones go unanswered, clients are \"fired\", and websites are taken down, as the existing workforce tries to handle the grueling 80 hour+ weeks necessary to push through tax season to the April 15th deadline.\r\n\r\nWe built this because a former colleague who owns her own tax firm asked us to automate her workload, and we quickly realized the massive opportunity. Thomas brings deep domain expertise as the former Head of Product at Keeper (YC W19), where he built tax engine automation systems and an OCR form scanning system that outperformed everything else on the market. At Keeper, he leveraged early access to OpenAI's LLMs (well before ChatGPT) to build systems that automated the entire tax filing process, allowing a tiny team of CPAs to process thousands of returns with near zero busy work. Patrick was the first engineer at FunCraft, shipping multiple mobile games with 1M+ downloads and building scalable shared codebases. We've worked together since 2017, including co-leading multiple teams at Zynga as PM & Tech Lead respectively.\r\n\r\nThe opportunity is massive - there are 80M US personal tax returns filed via professionals annually, in a $2B outsourcing market where individual CPA firms currently pay $100k-$1M per year for inferior services. We're positioned to capture significant market share by offering better accuracy & document coverage, instant processing, and superior user experience.\r\n\r\nWe've built this kind of software before, we've worked together for years (and even lived together), we've built products to $10M ARR before, and we have the grit to outwork anyone in this space.",
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        "full_name": "Thomas Shelley",
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        "full_name": "Patrick Fay",
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        "title": "📄 Magnetic - AI Tax Prep for CPA firms",
        "tagline": "Magnetic scans client docs - from complex K-1s to handwritten notes - and enters them into your firm's existing tax software",
        "body": "**TL;DR:** Magnetic scans taxpayer documents and enters them into tax software automatically, replacing data entry roles and reducing costly errors for CPA firms.\n\n**Ask**: Know a firm struggling with tax prep capacity? We’d love an intro.\n\nhttps://youtu.be/5--kYPgPLEM\n\n---\n\n**The Problem:**\n\nThe accounting profession is in crisis. CPAs and other tax professionals face a massive talent shortage as new grads abandon the field and experienced pros retire or sell their firms to PE. Firms are overwhelmed, working 80+ hour weeks during tax season, turning away clients, and missing deadlines - not due to a lack of work, but a lack of bandwidth. Many of the firms we talk to either don’t have a working website or don’t pick up the phone - because they can’t handle new clients.\n\nMost CPA firms still rely on manual data entry or expensive outsourcing services that are slow, error-prone, and hard to scale.\n\n---\n\n**Our Solution:**\n\nMagnetic automates tax data entry. We scan client docs - from handwritten donation notes to messy Schedule Cs and multi-state K-1s - and enter the data directly into legacy tax software like UltraTax, Drake, or ProConnect with 90%+ field-level accuracy (vs \\~50% from incumbents).\n\nThe agent can even reason over complex documents, reference the tax code, and perform calculations to handle nuanced scenarios like allocating tax-exempt interest across states for compliance with state apportionment rules.\n\n![uploaded image](/media/?type=post&id=92213&key=user_uploads/1753404/0ae3eead-1899-4368-9b2c-84e45e502b29)\n\n---\n\n**Our Backgrounds:**\n\n**Thomas (CEO)**: Former Head of Product @ Keeper (YC W19). Built AI Turbotax + form scanning engine that powered thousands of automated returns. CMU & UMD.\n\n**Patrick (CTO)**: First engineer @ FunCraft (shipped multiple mobile games to millions of installs and millions in ARR). USC CS\n\n![uploaded image](/media/?type=post&id=92213&key=user_uploads/1753404/1e80e15e-0f0f-4848-b706-15537d0c23e2)\n\n---",
        "url": "https://www.ycombinator.com/launches/NzJ-magnetic-ai-tax-prep-for-cpa-firms",
        "votes": 45,
        "created_at": "2025-07-16T18:24:41.120Z"
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    "website": "https://modelence.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "You built your product in a weekend and deployed to Vercel, Supabase, Railway or AWS. Now you need to figure out how to pick the right region, scale to multiple instances, add monitoring and alerts, and who to ping when something breaks… and you don't have a cloud engineer.\r\n\r\nWe spent a decade at our previous startup (CodeSignal), building a $500M platform while scaling to millions of users and customers like Meta & Netflix. Now we're standardizing how web applications are operated in production, so developers can build reliable production apps without becoming cloud infrastructure experts.\r\n\r\nModelence is a production cloud that's designed for enterprise-grade apps, abstracting away the infrastructure layer:\r\n- Deployments & hosting\r\n- Background jobs and persistence\r\n- File storage, real-time data and networking\r\n- Monitoring and alerts\r\n\r\nPlatforms like Vercel and Supabase are easy to start with, but most companies that start getting real customers eventually need a persistent backend where processes can run beyond just a few minutes at a time, unlike pure serverless. And low-level cloud platforms like AWS are meant to be operated by cloud engineers and are too complicated for engineers who want to focus on product rather than infra. Modelence is your managed backend infrastructure, built on decades of our experience operating web apps in the cloud.",
    "one_liner": "Production infrastructure on autopilot",
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        "full_name": "Aram Shatakhtsyan",
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        "founder_bio": "Before Modelence, I co-founded CodeSignal (valued $500M) and spent a decade on building and scaling one of the largest skill assessment platforms, used by millions of users and companies like Uber, Zoom & Netflix.\n\n- ex-Principal Eng @ Intuit\n- ex-Co-Founder & CTO @ CodeSignal\n- Forbes 30u30 US & Canada, Enterprise Technology\n- Silver medalist of IOI 2007 / former competitive programmer",
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        "full_name": "Eduard Piliposyan",
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        "is_active": true,
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        "title": "Modelence: all-in-one TypeScript platform for startups",
        "tagline": "Ship production AI apps 10x faster with built-in auth, database and LLM integration",
        "body": "You built the demo in a weekend. Now you need auth, a prod-grade database, real-time events, AI observability, cron jobs, email, monitoring… and you needed them yesterday.\n\nWe spent a decade building platforms while scaling to millions of users and enterprise customers. Now we put that into an open-source framework, so others wouldn’t have to do the same from scratch.\n\n![uploaded image](/media/?type=post&id=92593&key=user_uploads/2485356/d6404f4b-fb88-47d1-adcc-b895394e41af)\n\nModelence is a batteries-included framework that abstracts away boilerplate so you can just focus on building your product logic and nothing else - it’s like Next.js + Vercel + Supabase on a single platform, built for full-stack TypeScript.\n\nhttps://www.youtube.com/watch?v=S4f22FyPpI8\n\n**Why Modelence?**\n\nShipping production apps is much harder than building a prototype that runs locally and 95% of all production apps share the same building blocks. We did a massive amount of work on our previous platforms that was not specific to our product, and we’ve created Modelence to abstract that away:\n\n* Authentication\n* Database setup\n* Hosting / CDN\n* AI integration (LLM observability, prompts)\n* Real-time events\n* Cron jobs\n* Email service\n* Monitoring\n* Analytics\n* Admin dashboards\n\nAndrej Karpathy recently posted about this same exact problem - [**https://x.com/karpathy/status/1905051558783418370**](https://x.com/karpathy/status/1905051558783418370) and explained it further in his [**YC AI Startup School talk**](https://tinyurl.com/45xvsm3y).\n\n**Who is this for?**\n\nStartups that are shipping TypeScript production apps and want to focus on building their product without worrying about boilerplate, DevOps, infra and scaling.\n\n**Founders**\n\n* Aram S (ex-Principal Eng @ Intuit, co-founded [**CodeSignal**](https://codesignal.com/))\n* Eduard P, PhD (Founding Eng @ [**CodeSignal**](https://codesignal.com/))\n\n**Getting Started**\n\nModelence is open-source - go to https://modelence.com to create a free cloud environment and try it!",
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        "full_name": "Taira Fujioka",
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        "founder_bio": "CTO @ Smartbase. Prev youngest SDE 2 at AWS SageMaker/Bedrock Inference building inference infra for enterprises such as Salesforce and JP Morgan.",
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        "title": "Smartbase: automated PO entry for manufacturers",
        "tagline": "We help manufacturers (e.g. job shops) remove the manual work from order entry.",
        "body": "Hey! We’re [Sam](https://www.linkedin.com/in/sam-goldman/) and [Taira](https://www.linkedin.com/in/taira-fujioka1999420/), the co-founders of [Smartbase](https://smartbase.so/).\n\n[**https://youtu.be/EsevybYIIrA**](https://youtu.be/EsevybYIIrA)\n\n# **The Problem**\n\nToday, incoming purchase orders are still entered into the ERP by hand.\n\nThis process often requires multiple full-time employees, especially for manufacturers doing custom or high-mix work.\n\nOrders arrive in every format imaginable: paper, email, fax, and sometimes even handwritten.\n\n# **The Solution**\n\nHere’s how Smartbase automates order entry:\n\n1. **Import POs**: Upload scanned orders to Smartbase, or connect Smartbase to your inbox for emailed orders.\n2. **Automatic data extraction**: Our AI turns even the messiest POs into ERP-ready data using your custom business rules (e.g. customer-specific pricing).\n3. **Review and approve**: Review orders in our dashboard, then click approve. They'll appear in your ERP.\n4. **Automatically print travelers**: Optionally, Smartbase can automatically print the travelers from your ERP.\n\n# **Our Team**\n\nWe’ve worked on factory floors, sat side-by-side with employees to learn their workflows, and even slept at a factory.\n\nSam (CEO) previously founded a DevOps platform that raised $2M. Taira (CTO) was the youngest SDE 2 at AWS SageMaker Inference, where he built AI infrastructure for enterprises such as Salesforce.\n\n# **Our Ask**\n\nIf you know someone who works at a manufacturer, we’d love an intro! Just email [sam@smartbase.so](mailto:sam@smartbase.so) to connect us.\n\nIf you’re interested in using Smartbase, schedule some time to chat [here](https://calendly.com/d/cr5v-f9f-kb3/smartbase).",
        "url": "https://www.ycombinator.com/launches/Pwm-smartbase-automated-po-entry-for-manufacturers",
        "votes": 23,
        "created_at": "2026-04-15T15:01:47.689Z"
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    "id": 30782,
    "name": "TectoAI",
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    "website": "https://www.tecto.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We help your company identify roles that can be filled by agentic AI tools, onboard them quickly, monitor their performance and behavior post deployment, ensure they remain compliant, and aligned with regulations. Tecto is building the governance platform for managing the AI stack! ",
    "one_liner": "A Platform for AI Governance",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1752441321,
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    "batch": "Summer 2025",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tectoai",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
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      {
        "user_id": 1105418,
        "full_name": "Niosha Afsharikia, PhD",
        "title": "Founder/CEO",
        "founder_bio": "Founder, operator, and product builder with 10+ years navigating highly regulated AI deployments. Raised millions in funding across seed-stage startups and academic research. Developed and launched AI-enabled products for the US government and private sector. Shipped zero-to-one products with enterprise and Fortune 500 customers. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/afsharikia/",
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      {
        "user_id": 2221991,
        "full_name": "Roksana Baleshzar",
        "title": "Founder/CTO",
        "founder_bio": "Roksana is Cofounder and CTO of TectoAI, the HR system for AI agents. She holds a Master’s in Computer Science and spent 6+ years at Google building ML features in Gmail, shipping to hundreds of millions of users. She specializes in deploying AI safely at scale, with deep experience in real-time systems, data sensitivity, and edge-case failure.",
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      {
        "id": 92108,
        "title": "Tecto - Governance Platform for AI Employees 🤖",
        "tagline": "Accelerate recruiting agentic AI tools and keep an 👀 on them!",
        "body": "👋 Hi! We’re [Niosha](https://www.linkedin.com/in/afsharikia/) and [Roksana](https://www.linkedin.com/in/roksana-baleshzar/), co-founders of [Tecto](https://www.tecto.ai/).\n\n# **TL;DR:**\n\nWe help your company identify roles that can be filled by agentic AI tools, onboard them quickly, monitor their performance and behavior, and ensure they stay compliant and aligned with policies. Tecto is building the **HR system for managing your AI “employees”**.  \n\n🎬🍿\n\nhttps://youtu.be/GeTHW1XVwvE\n\n# **The Problem**\n\n💸 Most companies are eager to **unlock the $B in efficiency** promised by AI, but unsure which use cases to start with. Should they bring on an AI email manager? Or a task manager that syncs with email? Or an all-in-one AI coordinator? \n\n📋 Even after choosing, the **approval process**—from vendor risk assessment to infosec, GRC, and legal—is slow and convoluted. And by the time it's complete, the tool or regulations may have already changed.\n\n🐒 Moreover, agentic AI tools **aren’t static like traditional SaaS**. They continuously evolve with new models, multimodal capabilities, and dynamic behaviors. **Much like humans**, their responses can vary depending on context, drift to favor shortcuts, or adapt tone _([Chen et al., 2025](https://arxiv.org/pdf/2506.06366))_\n\n📊 Most importantly, relying solely on **model benchmarks falls short**. Agent behavior is shaped by capability, context, and adaptation, not just the underlying model. For example:\n\n* A single missed medical term in a transcription can lead to a hallucinated diagnosis in the summarization layer (error propagation) ☠️\n* In a back-office copilot, the assistant began favoring shortcuts over accuracy after users consistently chose the fastest suggestions, optimizing for user approval instead of policy (favoring shortcuts)  💾\n\n# **Our Solution**\n\n**Tecto platform provides the evaluations and qualifications needed to employ and monitor agentic AI, like gusto for AI employees.**\n\n* Tecto helps you pinpoint where AI fits within your workflow and matches you with a curated list of vetted AI employees aligned with your organization’s expectations, risk tolerance, and compliance requirements. \n* Once deployed, we continuously monitor their behavior—using output testing to detect drift, edge case failures, and other unexpected actions as they arise. \n* We also keep you ahead of rapidly evolving AI regulations worldwide, alerting you to public incidents or legal actions involving tools in your stack, so you can respond before issues escalate.\n\n🕹️ With Tecto, onboarding AI employees is fast and oversight doesn’t stop after deployment. Your AI adoption is structured, controlled, and safe from day one.\n\n# **Why We’re Building This**\n\nTogether, we bring over six years of firsthand experience navigating AI adoption—both inside and outside Silicon Valley—across technical development and real-world implementation.\n\n**Niosha**, our CEO, has 10+ years experience navigating highly regulated spaces. She spent the last 6 years as a consultant after earning her PhD, helping the government and private sector bring AI from theory to practice. She’s seen the confusion, overwhelm, and lack of structure that plague even the most ambitious AI initiatives.\n\n**Roksana**, our CTO, has been building software since she was a teenager and spent the last 6.5 years as an AI engineer at Google. She worked on applied AI at scale, navigating the practical challenges of evaluating tools, monitoring agent behavior in production, and aligning systems with compliance needs.\n\n🎖️ We kept seeing the same pattern: companies either banned AI tools outright or used them blindly, leading to compliance failures, reputational damage, and eroded trust. So we built Tecto to close that gap—because real trust in AI adoption comes from having control.\n\n# **Our Ask:**\n\nWe’re looking for:\n\n**Enterprise teams** adopting (or planning to adopt) third-party AI tools or AI “employees”.\n\n**GRC, Infosec, Vendor Risk Assessment , and IT leaders** (including CSOs) who need control over the AI behavior.\n\n**Startups** that want to hire AI fast, but can’t afford to get it wrong.\n\n**Developers** building AI employees, tools for workflow automation, or vertical AI who want to accelerate their sales.\n\nIf that’s you, we’d love to work with you!\\\nWe’re offering early access and discounted pricing for our first wave of customers and hands-on support as you onboard.\n\n👉 Sign up at [tecto.ai](https://www.tecto.ai/early-access)\\\n📬 Reach us directly: [founders@tecto.ai](mailto:founders@tecto.ai)\n\n![uploaded image](/media/?type=post&id=92108&key=user_uploads/2221991/a5ecd214-015d-49be-8bb0-5ae72ebc45ad)\n\n",
        "url": "https://www.ycombinator.com/launches/Nxc-tecto-governance-platform-for-ai-employees",
        "votes": 144,
        "created_at": "2025-07-14T03:59:41.342Z"
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    "id": 30785,
    "name": "RowFlow",
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    "website": "https://rowflow.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "RowFlow replaces clunky web forms with natural conversations that run over text, slack, or wherever your users are. Our platform increases your form’s response rates while cutting your internal overhead in half. \r\n\r\nWith RowFlow, you can take any existing form and instantly convert it into an AI-powered conversation. New flows launch in minutes and reach respondents over your preferred channel or embedded chat. We guide the exchange, follow up automatically, and return clean structured data without extra work from your team.\r\n\r\nForms power billions of business interactions yearly. Whether it’s forms for client intake, registrations, compliance, feedback, or surveys, they all follow the same painful pattern: low conversion, messy data, and frustrated users. Teams have long tolerated forms only because there's been no scalable alternative for collecting structured information from people - until now. Our goal is for RowFlow to become the new default way for how organizations collect user data in an AI-first world.",
    "one_liner": "Replacing forms with AI conversations",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1756177645,
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    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rowflow",
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        "full_name": "Alec Olesky",
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        "linkedin_url": "https://www.linkedin.com/in/alec-olesky/",
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      {
        "user_id": 2767809,
        "full_name": "Jack Bubes",
        "title": "Founder/COO",
        "founder_bio": "Jack is the co-founder of RowFlow. He spent 8 years scaling marketplaces at Uber, Shef (YC19), and Faire (YC17), where he built 0-to-1 operational systems, standardized messy onboarding flows, and most recently led human-in-the-loop ML programs. He holds a degree in Statistics and Operations from Wharton, where he graduated in 2017.",
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      {
        "id": 93357,
        "title": "RowFlow: Turn any form into an AI conversation",
        "tagline": "We replace clunky webforms with AI conversations that get more responses faster",
        "body": "**Hey all -** we’re Jack and Alec, co-founders of **RowFlow**.\n\n**TL;DR**\n\nRowFlow can take any existing static form and instantly convert it into a dynamic AI-powered conversation. New flows launch in minutes and reach respondents over text, Slack, embedded chat, or wherever your users are. We guide the exchange, follow up automatically, and return clean structured data without extra work from your team. Compared to traditional webforms, our AI-native approach delivers higher completions, less overhead, and a better user experience.\n\n**Want to see it in action? [Try our demo here.](https://rowflow.ai/)**\n\n**Have a form that users hate filling out? [Schedule a call with us here.](https://calendly.com/rowflow/discovery-call)**\n\n![uploaded image](/media/?type=post&id=93357&key=user_uploads/2767809/755cae46-1c7f-4e48-a9e2-733e1d68348b)\n\n**Problem**\\\nForms suck. They power power billions of business interactions yearly _(think: lead qualification, customer onboarding, client intake, feedback forms, surveys, event RSVPs, registration forms, compliance, healthcare…the list goes on),_ but most have:\n\n* **Low conversion:** too many users provide half-answers or drop off before completing.\n* **Time drain:** teams waste hours building complex logic, chasing non-responders, hand-holding, and cleaning messy data.\n* **Poor user experience:** even when forms do work, they frustrate users and hurt your brand.\n\nTeams have been forced to tolerate these pain points as there's been no scalable alternative for collecting structured information from people - until now.\n\n---\n\nhttps://www.youtube.com/watch?v=MrchVB7RHmg\n\n\\\n**Solution**\\\nWith RowFlow, we abstract away from the static form structure altogether. It works like this:\n\n1. Say what data you need ([or try our Google Form converter](https://rowflow.ai/)).\n2. RowFlow runs guided AI conversations over text, Slack, email, or embedded chat with automated follow-ups.\n3. You get clean, structured data delivered into your systems.\n\nOur goal is for RowFlow to become the new default way for how organizations collect needed user data in an AI-first world.\n\n---\n\n**Ask:**\n\n1. Do you have a form with low response rate? If so, we’d love to help - [**you can book a call with us here**](https://calendly.com/rowflow/discovery-call)!\n2. If you have to fill out a form in the wild that makes you go 🤬, send a screenshot to [**jack@rowflow.ai**](mailto:jack@rowflow.ai) and we’ll take it from there.\n\n\\\n**About Us:**\n\nJack and Alec met as freshmen at UPenn and we always knew we’d build something together. 12 years later, we are! Prior to RowFlow, Jack scaled Ops at Uber, Shef, and Faire, while Alec was a quant trader at Virtu and an engineer at Meta.\n\n![uploaded image](/media/?type=post&id=93357&key=user_uploads/2767809/2b8be54b-a588-45eb-8224-5efb9ab195bf)\n\n",
        "url": "https://www.ycombinator.com/launches/OHl-rowflow-turn-any-form-into-an-ai-conversation",
        "votes": 20,
        "created_at": "2025-08-27T18:30:29.678Z"
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    "name": "Interfere",
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    "website": "https://interfere.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Interfere empowers engineers, product managers and designers with real-time understanding of previously unseen bugs and issues.",
    "one_liner": "Give engineering, product, and design teams insight into unseen issues",
    "team_size": 8,
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    "subindustry": "B2B -> Engineering, Product and Design",
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      "AI"
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    "url": "https://www.ycombinator.com/companies/interfere",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/interfere.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "http://linkedin.com/company/interfere-inc",
    "x_url": "https://x.com/_interfere",
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    "cb_url": "https://www.crunchbase.com/organization/interfere",
    "github_url": "https://github.com/interfere-inc",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c788f853f55de9b0ed57c42d5dd9b8c7388fc49f.png",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 1053851,
        "full_name": "Luke Shiels",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Interfere (YC S25), we’re building the self-healing layer of the internet: software that helps software engineers spend less time fixing bugs, and for the first time allow non-technical members of your team to understand how your product actually works in real-life.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shiels",
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        "id": 101753,
        "title": "Software Engineer, AI/ML",
        "url": "https://www.ycombinator.com/companies/interfere/jobs/kXq09n0-software-engineer-ai-ml",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $250K",
        "equity_range": "0.60% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 101754,
        "title": "Software Engineer, Data",
        "url": "https://www.ycombinator.com/companies/interfere/jobs/2C7MiL1-software-engineer-data",
        "location": "New York City",
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        "id": 101756,
        "title": "Opportunistic",
        "url": "https://www.ycombinator.com/companies/interfere/jobs/AHkVvCT-opportunistic",
        "location": "New York City",
        "type": "Full-time",
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        "id": 101758,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/interfere/jobs/1GvQshp-founding-product-engineer",
        "location": "New York City",
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        "url": "https://interfere.com/blog/seed-announcement",
        "date": "Oct 13, 2026"
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    "id": 30792,
    "name": "Bizzy AI",
    "slug": "geo-ai",
    "former_names": [
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    "website": "https://www.usebizzy.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Bizzy handles your calls, captures and qualifies leads, and books appointments directly into your CRM. It understands your services better than a receptionist would, routes and escalates calls, and syncs with your existing tools to incorporate complex workflows, all so your team can focus on servicing leads, not qualifying them.",
    "one_liner": "Bizzy works 24/7 so you never miss a lead.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1768273014,
    "tags": [
      "Workflow Automation",
      "Sales",
      "Marketing",
      "AI"
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    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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    ],
    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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        "title": "Avent – AI Agents for Industrial Commerce",
        "tagline": "We automate quoting and order entry for industrial distributors using AI",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nI’m [Abhay](https://www.linkedin.com/in/abhay-kalra-683688214/) – founder of [Avent](https://www.aventindustrial.com/).\n\n# **TL;DR**\n\n**Avent builds the AI inside sales rep for industrial distributors and manufacturers**. Our AI sales rep automates quoting, order entry, and product search so the human sales teams at these companies can spend time with customers again.\n\n**_Ask_:** Can you introduce us **distributors, manufacturers or IMR’s (Independent Manufacturer Reps)**? \\\nContact us at [founders@aventindustrial.com](https://mailto:founders@aventindustrial.com)\n\nhttps://youtu.be/hvfU-DMfRG0?feature=shared\n\n# **📉 The Problem**\n\nI saw firsthand as an operator that growth in distribution is capped almost entirely by hiring. It’s hard to find good sales talent, and even harder to retain.\n\n* Sales teams spend most of their day quoting, entering orders, and chasing product data instead of talking to customers.\n* Training new reps takes months, and **more than 50% of the workforce will retire this decade**.\n* Critical knowledge lives in inboxes or people’s heads, and disappears when they leave.\n\nThe result: companies can’t scale beyond the speed of hiring, while service slows and relationships suffer.\n\n---\n\n# **📈 Our Solution**\n\n![uploaded image](/media/?type=post&id=93001&key=user_uploads/1006692/0ab6182e-5b8b-4bf9-9d33-3a0a0668e079)\n\nAvent watch every channel where customer requests arrive—email, fax, phone:\n\n* **Quoting:** When a customer asks for a price, Avent finds the correct product and pricing, generates the quote, and prepares it to send.\n* **Order Entry:** When the customer follows up with a purchase order (PO), Avent matches it to the earlier quote, creates the sales order, and inputs it into the company’s ledger\n* **Procurement:** Never lose an order. If a customer needs something that’s not in stock, Avent will find the best cost from in-network distributors and quote\n\nAvent generates over **$200,000 worth of quotes every day** for distributors across North America and the UK.\n\n![uploaded image](/media/?type=post&id=93001&key=user_uploads/1006692/74e0b3b9-44b2-42d8-bdeb-e9affaaf7f39)\n\n---\n\n# **The Story**\n\nI grew up in factories, and as kids my older brother and I would spend hours talking about how to take it to the next level. Every brainstorm somehow ended in the same place: _hiring_. Turns out, that wasn’t just our problem. It’s everyone’s problem in distribution.\n\nAvent is what I wish we had back then!\n\n---\n\n![uploaded image](/media/?type=post&id=93001&key=user_uploads/1006692/63fcdd55-f8ed-41b2-a7e6-bf366a33292f)\n\n",
        "url": "https://www.ycombinator.com/launches/OC1-avent-ai-agents-for-industrial-commerce",
        "votes": 117,
        "created_at": "2025-08-15T22:24:09.602Z"
      }
    ]
  },
  {
    "id": 30801,
    "name": "burnt",
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    "website": "https://getburnt.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Food Supply Chain companies have been using legacy ERPs for decades. Everyone knows these are necessary evils that essentially run the business but take up a lot of operational capacity. They are not about to just rip and replace their existing system that runs their whole business with a system that takes years to implement. Imagine if they could implement AI that runs the ERP for them, in weeks?\r\n\r\nBurnt’s building an agentic OS for the Food Supply Chain with AI Agents for each department. \r\n\r\nOur AI Agent, Ozai, has started by replacing the whole order management job function at food distribution companies, so that sales and customer service teams can focus on what matters - the customer. Ozai monitors all incoming messages (emails, phone calls, voicemails, whatsapp, fax etc.), figures out if it's an order, learns each customer's habits, shorthand, and favorite products, picks up on any prep notes, and enters it straight into the existing ERP. It'll even go back to the customers on your behalf when it's not sure about something, clarify things and carry on working. \r\n\r\nThe more it sees, the smarter it gets. \r\n",
    "one_liner": "Agentic Operating System for Food Supply Chain",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1754594051,
    "tags": [
      "Supply Chain",
      "Food Tech",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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      "Supply Chain and Logistics"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/burnt",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/burnt.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getburnt/?viewAsMember=true",
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    "cb_url": "https://www.crunchbase.com/organization/burnt",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
      {
        "user_id": 651960,
        "full_name": "Joseph Jacob",
        "title": "Founder/CEO",
        "founder_bio": "Spent my whole career in food supply chain, intimately understanding the pain points at each step of the supply chain. Now we're reinventing the fundamental technical infrastructure that the industry is run on. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josephjacob93",
        "x_url": "https://x.com/Joseph_Jacob13",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d735f867a1cf54d1e20ec19c2727ab6caa25ca8d.jpg"
      },
      {
        "user_id": 1488111,
        "full_name": "Rhea Karimpanal",
        "title": "Founder/CPO",
        "founder_bio": "Product at burnt! Creativity is my jam, details matter to me, and I’m all about understanding how people in food relate to technology.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rheakarimpanal/",
        "x_url": "https://x.com/RheaKarimpanal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/920bfceb325ccada2cd07b600a9914ecd1d8828b.jpg"
      },
      {
        "user_id": 1132019,
        "full_name": "Chandru Shanumugasundaram",
        "title": "Founder/CTO",
        "founder_bio": "Built backed systems for Legal tech, Dev tools, Banking, Restaurant applications. Currently building agents for food distributors and suppliers.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chandrushanmugasundaram",
        "x_url": "https://x.com/tweetchanshan",
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    ],
    "jobs": [
      {
        "id": 78174,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/burnt/jobs/ye39lFB-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "JavaScript",
          "Python",
          "Distributed Systems",
          "Machine Learning",
          "Natural Language Processing",
          "Microservices",
          "Data Warehousing",
          "Data Modeling",
          "Figma",
          "Next.js",
          "Prompt Engineering"
        ]
      }
    ],
    "news": [
      {
        "title": "Steph Curry's VC firm just backed an AI startup that wants to fix food supply chains | TechCrunch",
        "url": "https://techcrunch.com/2025/09/25/steph-currys-vc-firm-just-backed-an-ai-startup-that-wants-to-fix-food-supply-chains/",
        "date": "Sep 25, 2025"
      }
    ],
    "launches": [
      {
        "id": 92977,
        "title": "Burnt - Agentic OS for Food Supply Chain",
        "tagline": "We’re building AI agents that automate order entry for food distributors",
        "body": "# **TL;DR**\n\nLegacy ERPs may run the business for food distributors, but they come at a steep cost - manual order entry alone can consume 10-50 people’s time that should be spent on sales and customer service. Ripping these systems out would take **years**, cost **millions**, and probably spark a small mutiny. Meanwhile, flashy e-commerce storefronts have flopped harder than day-old soufflé.\n\nBurnt deploys AI Agents directly inside these ERPs, starting with a Sales AI Agent that completely replaces the order management job function.\n\nWe’re working with large distributors across meat, seafood, and specialty ingredients - 97% of their orders now run end-to-end without people & 90% of order-entry staff shifted into sales.\n\nWe’re building supply chain superintelligence so that independent food distributors can compete with the US Foods and Sysco. \n\n\\____________________\\_\n\n# **The Problem**\n\nFood distributors that supply restaurants rely on decades-old legacy ERPs - critical to operations but slow, inflexible, and dependent on armies of people to run.\n\nPast attempts to automate these workflows have failed:\n\n* **RPA** works only for structured PDFs, not for the messy reality of food orders coming via emails, calls, texts, WhatsApp, and fax.\n* **E-commerce storefronts** have low adoption, 12-24 month implementation cycles and come at a high cost - both financially and emotionally - for distributors, while still failing to address the nuances of the industry.\n\nThis leaves distributors buried in manual work. Customer service teams are the perfect example of this issue -  they spend most of their time re-typing orders instead of building relationships.\n\n\\____________________\\_\n\n# **Our Solution**\n\nhttps://youtu.be/hRgpT2I1XAk\n\nBurnt’s AI Agents operate inside existing ERPs - no rip-and-replace required.\n\nOur first agent, **Ozai**, monitors all incoming sales channels (email, text, voicemail, WhatsApp, fax – **even phone calls**), learns each customer’s shorthand, habits, and favorite products, interprets prep notes, and enters the order directly into the ERP.\n\nIf something’s unclear, Ozai asks the customer for clarification and continues processing without breaking the workflow. The more it sees, the smarter it gets. \n\nWe’re live with some of the most respected independent distributors in the business, who’ve used our AI to double down on customer relationships instead of data entry - all in just a matter of weeks.\n\n\\_______________\\_\n\n# **Vision**\n\nWe’re not just automating order entry anymore - our customers are turning to Burnt, eager for us to take on tasks like automated credit control & procurement.\n\nOur mission? We’re building towards a plug-and-play OS that predicts and executes business decisions before humans need to act.\n\n\\_______________\\_\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=92977&key=user_uploads/651960/b94f25ba-340d-4a63-bca3-4c32b129f264)\n\n* **JJ (Joseph Jacob), CEO** -  worked in every part of the food supply chain from farm to table; has bought over 400M lbs of shrimp in his career. Comes from a family with 85 years in the seafood industry.\n* **Rhea, CPO** -  grew up around restaurants, with a design eye that ensures our AI feels invisible yet impactful.\n* **Chandru, CTO** -  built a custom ERP for his dad’s factory as a teenager; obsessed with tech that solves messy, real-world operations.\n\nWe’ve been right there in the thick of it - on factory floors, in seafood markets, and out in the warehouses.",
        "url": "https://www.ycombinator.com/launches/OBd-burnt-agentic-os-for-food-supply-chain",
        "votes": 15,
        "created_at": "2025-08-14T01:00:27.362Z"
      }
    ]
  },
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    "id": 30804,
    "name": "Luminal",
    "slug": "luminal",
    "former_names": [],
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    "website": "https://luminal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Luminal builds an ML framework and compiler that generates GPU code.\r\nOur stack 10x's model speed while simplifying deployment and cutting idle GPU costs\r\n\r\nGithub: https://github.com/luminal-ai/luminal\r\nDiscord: https://discord.gg/APjuwHAbGy",
    "one_liner": "Making AI run fast on any hardware.",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1752295982,
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      "Developer Tools",
      "Cloud Computing",
      "AI"
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    "status": "Active",
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      "America / Canada"
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Most people running their own AI models are lighting money on fire and don’t even know it. The rush to get to market first means nearly every AI company is leaving thousands of dollars on the table every MONTH by not optimizing their models. That’s why we made Luminal.\r\n\r\nIf you want your team spending more time making the world’s best models and less time optimizing hardware and cloud infrastructure, we’re for you!"
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "At Luminal, we’re taking a bold swing at redefining how machine learning engineers interact with the core compute layer powering AI. When we succeed, the world’s intelligence stacks will be faster, simpler, and more robust. The hardware is ready for AI performance, the low-level code is not.\r\n\r\nSolving the software layer destroys NVIDIA’s moat and democratizes compute for AI"
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    "url": "https://www.ycombinator.com/companies/luminal",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/luminal.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/luminalai",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1374217,
        "full_name": "Joe Fioti",
        "title": "Founder/CEO",
        "founder_bio": "Generating GPU kernels automatically to speed up ML models. Ex-Intel, worked on CPU microcode and ML accelerators.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/joe-fioti-24a986189",
        "x_url": "https://x.com/joefioti",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0583e75ba29d754c8f1ed1c3827cf290ad883aae.jpg"
      },
      {
        "user_id": 1927303,
        "full_name": "Matthew Gunton",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Luminal AI. Ex-Amazon engineer, with globally deployed projects automatically finding issues in the Amazon fulfillment network and cost effectively fixing them",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/matthewjgunton/",
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      {
        "user_id": 427411,
        "full_name": "Jake Stevens",
        "title": "Founder",
        "founder_bio": "Cofounder at Luminal: generating GPU kernels automatically to speed up ML models. Ex-Apple. Talk to me about donuts or compilers or both :)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jake-stevens-",
        "x_url": "https://x.com/stake_jevens",
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      {
        "id": 80694,
        "title": "Compiler Engineer",
        "url": "https://www.ycombinator.com/companies/luminal/jobs/GAXg6qE-compiler-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.15% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
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          "CUDA"
        ]
      },
      {
        "id": 83575,
        "title": "Cloud Inference Engineer",
        "url": "https://www.ycombinator.com/companies/luminal/jobs/J87U2SS-cloud-inference-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.15% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "CUDA"
        ]
      },
      {
        "id": 94688,
        "title": "Senior Compiler Engineer",
        "url": "https://www.ycombinator.com/companies/luminal/jobs/7Bgke65-senior-compiler-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $350K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "SASS",
          "CUDA"
        ]
      }
    ],
    "news": [
      {
        "title": "Luminal raises $5.3 million to build a better GPU code framework | TechCrunch",
        "url": "https://techcrunch.com/2025/11/17/luminal-raises-5-3-million-to-build-a-better-gpu-code-framework/",
        "date": "Nov 17, 2025"
      }
    ],
    "launches": [
      {
        "id": 92298,
        "title": "Luminal - PyTorch for Production",
        "tagline": "Luminal automatically speeds up and deploys your PyTorch models",
        "body": "Hey we’re Joe, Jake, and Matthew, cofounders of Luminal. \n\nLuminal is an [open-source](https://github.com/jafioti/luminal) ML compiler that generates blazingly fast CUDA kernels and makes deploying AI to production one line of code. We’re already powering research at Yale, production workloads at VC-backed startups and several research labs.\n\nhttps://youtu.be/Rgo15NY9K-8\n\n**TLDR:**\n\n* Our drop-in upgrade to PyTorch automatically generates complex GPU kernel code, like Flash Attention, with zero hand-engineering\n* We provide truly serverless deployments; no idle costs or cold starts.\n* By not relying on pretrained LLMs or hand-written optimizations, we can reliably speed up any model\n\n**Ask:**\n\n* [Book a meeting](https://calendly.com/accounts-luminalai/30min) if you write PyTorch and want your models to run fast\n* [Star us on github](https://github.com/jafioti/luminal) and try Luminal right now on your own laptop!\n* Email us if you know someone who runs custom models: [contact@luminalai.com](https://mailto:contact@luminalai.com)\n\n—\n\n### **The problem:**\n\nMost people running their own AI models are lighting money on fire and don’t even know it. AI teams are frustrated when moving their model from dev to production. They either fall into dependency hell or kill their model’s speed. Today, **companies waste millions of dollars on GPU engineering** teams to optimize new models before they can be served to users.\\\n—\n\n### **How Luminal solves it:**\n\n**Luminal replaces a process that companies pay GPU engineers $300k+ a year to do.**\n\nOur key insight is that by treating optimization as a search problem, we’re able to automatically discover extremely complex optimizations in minutes that would take a GPU expert weeks. We use a series of ‘rewrite rules’ to create millions of graphs to describe your model, generate kernel code for each and then search for the fastest one based on runtime.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfNzLo_zAkiYY_fsEQMseEQZXpdFjn0chhSJ8Wn-0WOkSHGblAi1XseXLIbZsiim6z8_AiWxx6wuzTuCQYfNe2ELulijuOBR5b_1x4-kzEoxEoxutW0qv127MHbl1Lu6YLIJBfP_A?key=gRJ545K4hfVVtN0eX-o_ZQ)\n\n_Example of a complicated kernel on the left that Luminal automatically sped up, on the right._\n\nLuminal is:\n\n1. **Closing the research → engineering gap.** Because we auto-generate optimized GPU code directly from your PyTorch, a brand-new model can go from research notebook to production in hours instead of weeks\n2. **Writing blazing fast models.** Luminal generates kernels that would take a seasoned GPU engineer weeks of painstaking profiling and tuning to write.\n3. **Future-proofing AI for new chips**. We can rerun our compiler on fresh hardware to get new optimal kernels so you're never out of date.\n\n—\n\n### **You should reach out if:**\n\n* You’re an AI researcher or ML engineer\n* You’d like to lower your compute bill by **tens of thousands of dollars a month**\n* You work at a company that runs their own **custom models**\n\nIf you want your team spending more time making the world’s best models and less time optimizing hardware and cloud infrastructure, we’re for you!\n\n—\n\n### **The Team:**\n\n[Joe](https://www.linkedin.com/in/joe-fioti-24a986189/) - ex Intel, every Intel chip sold has the AI accelerator Joe worked on. He has extensive experience optimizing performance at the silicon level.\n\n[Matt](https://www.linkedin.com/in/matthewjgunton/) - ex Amazon where his software handled finding and automatically fixing issues within the global inventory network 24/7\n\n[Jake](https://www.linkedin.com/in/jake-stevens-/) - ex Apple Jake worked on imaging at Apple for your iPhone. He’s been a founder (with an exit) and head of growth at another startup that he grew to \\~$5M ARR.\n\nSend us an email: [contact@luminalai.com](https://mailto:contact@luminalai.com)\n\n[Book a call with us](https://calendly.com/accounts-luminalai/30min)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd1hRLOasxYQ38r0AmMN9fTC9-BatUjGjE9-BXM21-w8PRvhBJVeYAc3pWlLPVlmTtnP3jG9Pa5HmUIGTYaZ93ClC-M-CRx0nkNw-DgS3Wh28xWXaUzXVwL_XPCNUL8JyTd_9FmBA?key=gRJ545K4hfVVtN0eX-o_ZQ)\n\n",
        "url": "https://www.ycombinator.com/launches/O0g-luminal-pytorch-for-production",
        "votes": 127,
        "created_at": "2025-07-20T17:12:19.542Z"
      }
    ]
  },
  {
    "id": 30806,
    "name": "Uplift AI",
    "slug": "uplift-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c2008e580fb1146da7922b566c2a03af87f5a0c.png",
    "website": "https://upliftai.org/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build Voice Models for regional languages (like Urdu, Bengali, Greek etc) and make them available through simple APIs and SDKs. \r\nDevelopers use us to create Voice-first digital experiences (eg. Voice eCommerce, Voice Banking, Voice AI Tutors etc).\r\n\r\nWe gather our own data, develop our own labelling tools, train our own models, and design our own voice infra. This fully integrated approach enables us to offer the best models and the best developer experience for regional languages.\r\n\r\n---\r\n\r\nPeople who would previously never use certain digital services (like online ordering), actually use the service when they are given an intuitive Voice based interface.\r\nWe believe that Voice Interfaces will onboard 100s of millions of new users onto digital services; and double the addressable market for technology companies. \r\nUplift AI will provide the best models to create these Voice Interfaces for 60% of the world's population that only speaks their regional language and represents 42 trillion dollars in GDP.",
    "one_liner": "Foundational Voice Models for regional languages",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1750590533,
    "tags": [
      "Speech Recognition",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Hammad left Apple and took a year off to figure out what he wanted to do with the next decade of his career.\\\r\nFirst month: finished netflix :) \\\r\nThen he spent two months reviewing 20 years of voice tech research papers in chronological order… and somewhere in there realized that there is an opportunity to make amazing voice models for smaller languages — faster than big tech."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "One way I will answer this question. For now i will use it to increase SEO ranking for a new product we are trying. <https://upliftai.org/ai-calling>"
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "At the core, we are solving the problem of universal access to digital knowledge and digital services. \\\r\n\\\r\nPeople who would previously never use certain digital services (like online ordering, or online health advice), actually use the service when they are given an intuitive Voice based interface — especially in emerging markets.\\\r\n\\\r\nVoice Interfaces make it more natural and intuitive to use technology; and we believe it will onboard 100s of millions of new users onto digital services. This will make people more productive, and increase GDP per capita. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "When we truly succeed, the world will access technology through our Voice Tech.\\\r\n\\\r\nAnd the GDP per capita would increase around the world, as more people will be able to take full advantage of technology using intuitive voice interfaces. \\\r\n\\\r\nCurrently a large part of the world is unable to fully utilize technology coz text-interfaces are very confusing for many people."
      }
    ],
    "url": "https://www.ycombinator.com/companies/uplift-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/uplift-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/upliftai/",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://upliftai.org/ai-calling",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c2008e580fb1146da7922b566c2a03af87f5a0c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1455159,
        "full_name": "Hammad Malik",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Uplift AI. Building Voice Models for regional languages. Previously developed voice technology at Apple Siri and Amazon Alexa for about 9 years.  Cornell University alumni.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hammad2",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68417dab5a3c88034acc6500406a732dc3fc6ed6.jpg"
      },
      {
        "user_id": 650101,
        "full_name": "Zaid Qureshi",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Uplift AI. Building Voice Models for regional languages. Previously:  Designed AWS Bedrock Guardrails.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/zaidqureshi",
        "x_url": "https://x.com/zqureshi_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/213c6ace31f4682223f0ff84235321060d66a70d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 103104,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/uplift-ai/jobs/u9rZioW-founding-design-engineer",
        "location": "Lahore, Punjab, PK",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$1.5K - $2.5K / monthly",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "CSS",
          "React",
          "TypeScript",
          "Prototyping",
          "Design systems",
          "Branding",
          "Marketing design",
          "Figma"
        ]
      },
      {
        "id": 103116,
        "title": "Founding Engineer - Frontier Tuning Platform",
        "url": "https://www.ycombinator.com/companies/uplift-ai/jobs/rC1wCHI-founding-engineer-frontier-tuning-platform",
        "location": "Lahore, Punjab, PK",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1.5K - $2.5K / monthly",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "React",
          "TypeScript",
          "Machine Learning",
          "Deep Learning",
          "Fine-tuning",
          "Evals",
          "MLOps"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 103672,
        "title": "Urdu-speaking AI models — really really desi style",
        "tagline": "Authentic Urdu AI voices — from nosey aunties to angry molvis.",
        "body": "We have trained an AI model called Orator, that speaks Urdu with human-like realism. To the best of our knowledge, it is the first model that can speak Urdu in an authentic way: the way everyday people speak Urdu in everyday life.\n\nWe have voices from “the whole mohalla“ (entire neighborhood). From angry molvis and nosey aunties, to thailay walas, and burger boys.\n\n**You can experience the voices at [UpliftAI.org](http://UpliftAI.org).** The website will allow you to experience dozens of voices in seconds by just clicking/hovering the circles.\n\n![uploaded image](/media/?type=post&id=103672&key=user_uploads/1455159/ac1e7d0f-ca3e-4fc0-aac6-4cc61a89797e)\n\n**Making the model**\n\nWe have put our heart into this work, and enjoying it more than any work we have ever done in the past.\n\nWe started with the map of Pakistan and asked: how do people sound in every district. That gave us the accent list.\n\nThen, we asked ourselves: what are all the unique characters we would interact with in a typical month as we go about our normal life. This gave us our character/persona list.\n\nWe then hired a leading voice producer and worked with him to hire voice actors and script writers, and then spent months doing voice recordings in studios in Karachi, Lahore, Quetta and Islamabad.\n\nOnce the voices were recorded, then we hired 50 contractors to label data.\n\nThe final and the simplest step was the model training. We trained a very small 32M param VITS2 inspired model.\n\nThe results are very encouraging.\n\n\\- Here is someone creating a story book using our voices: <https://shehryar-stories.up.railway.app/frontend/index.html>\n\n\\- Here is me just having fun with it: [https://www.linkedin.com/posts/hammad2_is-your-mom-complaining-about-massi-leaving-ugcPost-7468570160233107457-sbQ5/](https://www.linkedin.com/posts/hammad2_is-your-mom-complaining-about-massi-leaving-ugcPost-7468570160233107457-sbQ5/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAQRT3MBhOY-xG4s8JvUtCqBaUrSdpKe93Y)\n\n**Ask**\n\n* If you know anyone that may benefit from this, please do connect us.\n* If you know any actors, dubbers or media houses that would be interested in recording more characters, please do connect us.\n* I can be reached at: <https://www.linkedin.com/in/hammad2/> or [founders@upliftai.org](mailto:founders@upliftai.org) ",
        "url": "https://www.ycombinator.com/launches/Qy8-urdu-speaking-ai-models-really-really-desi-style",
        "votes": 7,
        "created_at": "2026-06-23T16:15:41.627Z"
      }
    ]
  },
  {
    "id": 30807,
    "name": "Paloma",
    "slug": "paloma",
    "former_names": [
      "Salesmith"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png",
    "website": "https://getpaloma.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Paloma gives manufacturing companies an embedded team of engineers and ops experts who replace their manual operations with custom AI-native software.",
    "one_liner": "Digital transformation for real economy businesses",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1754546482,
    "tags": [
      "SaaS",
      "Analytics",
      "Manufacturing",
      "Operations",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/paloma",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/paloma.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/108207089/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 520906,
        "full_name": "Nazli Danis",
        "title": "Founder/CEO",
        "founder_bio": "CEO and co-founder @ Paloma | Previously GPM and first product hire @ Deel where I led Employee of Record (EOR), our highest revenue generating vertical, as we blitzscaled from $10K MRR to $XXM MRR.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nazlidanis/",
        "x_url": "https://x.com/nazlidanis",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d271a3f5b1cafb751db1b728c33034d02c60d91.jpg"
      },
      {
        "user_id": 2703464,
        "full_name": "Alex Avnit",
        "title": "Founder/CRO",
        "founder_bio": "CRO and co-founder @ Paloma | Previously Head of Deel’s EOR Business Unit - their fastest-growing and highest revenue-generating product | Quant & Data scientist by trade.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alex-avnit-222b3611a/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9384bffde5c89c504343f3270759669145f4083.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 93175,
        "title": "Paloma: AI-native CRM for billing, renewals, and expansions",
        "tagline": "Auto-pilot everything after the handshake",
        "body": "### **TL;DR**\n\nPaloma unifies contracts, service consumption, and customer relationship context so that revenue, success and sales teams can operate from the same ground truth. With everything centralized, you can stay ahead of upsell and churn signals while billing runs smoothly in the background.\n\nhttps://youtu.be/jav-7qS-S4U\n\n---\n\n### **The Problem**\n\nFragmented customer context and manual billing kill revenue potential:\n\n* Account managers and customer success don’t have full visibility on which clients to pay attention to for maximizing upsells and minimizing churn\n* Complex pricing or custom deals often require manual work to bill accurately, making them hard to support and creating a real barrier to selling\n\n### The Result\n\n* Revenue opportunities slip through the cracks because signals for upsell or renewals aren’t surfaced on time\n* Teams don’t have a clear view of what they can upsell or at what price, leading to missed opportunities\n* Sales is constrained to “billable” terms, creating friction and slowing execution\n\nThe result is a reactive, fragmented go-to-market motion where growth is capped by operational bottlenecks instead of driven by customer opportunity.\n\n---\n\n### **How Paloma Solves It**\n\nPaloma is the AI copilot and system of record for everything that happens after the handshake:\n\n* **Unified ground truth:** Parses contracts, communications, notes and service consumption into one shared customer context for revops, finance and customer success.\n* **Surfaces revenue opportunities:** Flags upsells, renewals, churn risks, and usage changes and prioritizes them by impact.\n* **Automates billing workflows:** Turns complex terms into billing-ready instructions that run behind the scenes.\n* **Works with your stack:** Seamlessly integrates with your CRM, billing software, and data sources to sync context and actions.\n* **Human-in-the-loop by design:** You stay in control. Paloma learns from your feedback and gradually automates more over time.\n\n### Demo: From Contract to Invoice in Seconds\n\n**1. Upload Contract & Add Notes**\\\nEasily import customer contracts and attach important context in seconds.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXenCXn3XWc-aJ86auvk1b4EbfYkrX83Tacb9LElt6_O29CrmLlKpIV3-g3t-A_ZoEwNMRTLizwutLePHZd6OQoxoJBYoBENxRAEhjZ5StRPdrED7L42JfBVZGDrxzT9GZLvY1NwDg?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**2. Parse & Review Contract Data**\\\nPaloma extracts terms, pricing, and key conditions from the contract.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcWyfWU9QpLWYr70cBoUZtfs1pqaC4uSNPLA-zF3eCa0zgAMZLXcOxQTZ2EZs-Gl2GMEaTMcyt7oDKcETvRgggs25ZpNHVSVuz0kxx3aHVqSeVKSJplYcr7lpgKw4Dxd0iAc23LpQ?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**3. Upload Usage Data**\\\nFeed in real consumption data to trigger accurate billing calculations.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXczxqONAnGu0BAaL8dL5EZ8zABzWHQyDBgMN8xgW4YBFvyu7vGKcgBTcBK9s9JNdLqq4ekGPJGVjCCO7KWRvTtxm9x9dR0n4QoPnD5qaQSj188gQ4fMT0A6QwRymziy0-VI-kXY?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**4. Generate & Review Invoice**\\\nWatch the system apply contract rules and usage to produce the final invoice, automatically.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcCNxVydjEGKUle7c1KaAb4Pqzr9zZ-H7WrQGYXDH8re-Q1ggk8tOCqwZ6Y3jvxgOl-dEmspx3B7_hWdY-gsPiHSV_nfRj_8FnQ8oPXl8zBgoNTzu8KJ1XCYPFmEVdKOSMemx8nYw?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n### **The Team**\n\nWe met at Deel, where we were early employees. Naz (CEO) and Alex (CRO) spent 3 years building and scaling Deel’s largest revenue-generating product from zero to $500m ARR. Kai (CTO) led the development of Deel’s billing and payments infrastructure from the ground up. We’ve lived the pain of messy post-sales firsthand and we’re building Paloma to solve it.\n\n![uploaded image](/media/?type=post&id=93175&key=user_uploads/2703464/b02e3435-4880-4c5e-a9a6-1f9c9b46bb59)\n\n### **Our ask**\n\nIf your team spends too much time on messy workflows, manual billing processes or you feel like you’re leaving money on the table, let’s talk.\n\n* **Book a call**: [https://cal.com/team/paloma/intro-call-with-paloma-](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n\n  [founders](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n* **Or email/call us at** : [founders@getpaloma.ai](mailto:founders@getpaloma.ai) / +1 (917) 971-7795\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/OEp-paloma-ai-native-crm-for-billing-renewals-and-expansions",
        "votes": 118,
        "created_at": "2025-08-20T14:28:04.109Z"
      }
    ]
  },
  {
    "id": 30822,
    "name": "Lapis",
    "slug": "lapis",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/df9bacd59e8691b297a03e4d95b6d05915aa8b7f.png",
    "website": "https://www.trylapis.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lapis builds, launches, and scales paid ad campaigns for DTC and SaaS businesses.\r\n\r\nLapis agents handle every step of the paid ads journey: writing ad copy (headlines and descriptions), generating the static images used in ads, deploying campaigns across paid channels, creating a custom landing page for each ad, and feeding real user interaction data back into a self-improving ads engine that gets better every day.\r\n\r\nWith Lapis, businesses can rapidly iterate on ads and A/B test at scale, free from the human design and creative bottlenecks that slow teams down. Using Lapis, companies can quantitatively improve their paid ads performance by up to 20x.\r\n\r\nLapis is used by 1,500+ marketing teams and 30+ enterprises, from Fortune 500 businesses to fast growing DTC businesses, and supports 10 languages including English, Spanish, and Italian.",
    "one_liner": "AI that creates and runs ads, end-end",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1760555997,
    "tags": [
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      "Marketing",
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        "full_name": "Varunram Ganesh",
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        "title": "Lapis: The fastest, most accurate AI search analytics platform",
        "tagline": "Full stack analytics platform that shows you what users are searching and helps you rank higher on ChatGPT, Claude, Perplexity, Gemini, and Grok.",
        "body": "Hey everyone! We are [Varunram](https://www.linkedin.com/in/varunramg/) and [Sai](https://www.linkedin.com/in/saisamrit-surbehera/), and we’re building Lapis.\n\nThe way we access information is fundamentally changing and ChatGPT is the new default for a large number of people. Unlike Google which shows you a list of blue links to click on, ChatGPT adds additional context and traditional SEO elements like rank and authority are no longer relevant.\n\nHere’s a fun video that encapsulates this perfectly: https://youtube.com/shorts/A1zkkdpXsjM?si=TIR2PpnO9Du4DV2O\n\n# What is Lapis?\n\nLapis helps you rank on AI Search Engines (we currently support ChatGPT, Claude, Perplexity, Gemini, and Grok) without generating hundreds of blogs.\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/d7152bae-e95b-49de-b222-45d4b18a7359)\n\nWe manage to do this by extensively analyzing Model responses and a combination of real-time content fixes, technical SEO, and linking websites on domains that are mentioned in models.\n\n# Analyzing AI Search Models\n\nWe spend over 650M tokens a day understanding responses for our customers. We construct a super detailed graph of all websites that show up for a given question, analyze the referenced content, and organically insert content on similar pages. This gives us accurate knowledge on what works and what doesn’t work. We want to learn from the models themselves, not create a rough set of heuristics on what might work.\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/fd2bcb1a-26e6-4e76-bf93-34b66739c122)\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/cd700a82-7da5-4eb8-9002-fd9152235052)\n\n# Changing Website Content Dynamically\n\nWe dynamically change your website content in real time for AI Search Engines. If Lapis is deployed on a company that does payroll software and a user asks a model “What is the best payroll software”, we highlight them as being the best payroll software and if a user asks “Can you create a comparison table with the top 10 payroll softwares”, we can highlight exactly where the company shines wrt other payroll providers. This removes the guesswork from landing pages for sales and marketing teams, and users and AI Agents get the information they are looking for.\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/d950c296-eaf8-4146-bc19-2d5ef8b2b621)\n\n# Removing the black box from Technical SEO\n\nWe fully take care of Technical SEO. For long, SEO has been this black box which no one understands. We solve that through Lapis Agent, which can automatically add meta tags, title tags, Opengraph URLs, sitemaps, and much more. For marketers, this means they don’t have to write code or trouble the engineering team. This also means they don’t have to spend hours with SEO teams on something that can be easily automated.\n\n# Discovering Hidden Markets\n\nMany times, teams don’t know that there’s a huge untapped market waiting for them. With our extensive analysis of prompts, we show all the queries for which businesses are actually showing up for, which means teams get insights into verticals where there’s huge untapped potential.\n\nWe want businesses to understand AI Search without the buzzwords. We want them to organically position themselves for this new shift, and to do so without generating spam content that actively harms website reputation.\n\nWe support over a hundred fast growing startups like Warp, Reducto, and Greptile on Lapis, and if you’re a founder or marketer, I think you’ll find a ton of value in using us.\n\nAnd its free to start, so check it out at trylapis.com!",
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        "created_at": "2025-10-16T14:56:34.684Z"
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    "name": "Semiotic",
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    "website": "http://semiotic.com",
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        "full_name": "Bryan Grisales",
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        "founder_bio": "CTO @ Semiotic. CS + Math at Columbia and AI research at Columbia's Computational Design Lab.",
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        "full_name": "Brandon Yao",
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        "title": "Semiotic: AI Design Firm",
        "tagline": "Landing pages for SF's fastest growing startups.",
        "body": "**TL;DR:** We’ll design your company’s landing page better and faster than any design agency in your LinkedIn inbox right now.\\\n\\\nWe’re building an AI design firm to out-think, out-design, and out-produce human design teams. In just 4 weeks since launch, we’ve generated $78,000 in revenue.\\\n\\\nhttps://youtu.be/edCfH_UGLC0\n\nMost design teams are inefficient at nearly every step of the process—onboarding, research, execution, handoff—all still done manually because it’s “the right way,” (i.e.) the old way.\n\nI (Michael) know this because I ran a (human) design studio for four years, from late high school through my sophomore year in college, and interned at one of the world’s largest design agencies.\n\nMy cofounders and I previously spent six months building design tools and talking to over 300 designers—from freelancers to global firms—only to find out that most of these **inefficiencies are so deeply entrenched that selling software wasn’t an option.**\n\nThe only solution is to rebuild the design firm itself.\n\n![uploaded image](/media/?type=post&id=95149&key=user_uploads/1797226/fbf846ab-8752-4fe4-b06d-f05fbc2c3bc6)\n\n\\\n\\\n**ASK:**\n\nIf you’re looking for a new landing page, **scroll through our [portfolio](http://www.semiotic.so/).** If a friend of yours needs a website, [send them our way](https://cal.com/team/semiotic/30min)!",
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        "full_name": "Don Muir",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder / CEO @ F2\nCo-Founder @ Arc\n\nEx-PE investor turned entrepreneur, passionate about AI applications in finance",
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        "url": "https://www.ycombinator.com/companies/f2/jobs/sgonNSQ-staff-software-engineer-frontend",
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        "full_name": "Linus Bein Fahlander",
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        "founder_bio": "Building Brickanta (F25) together with Lucas Otterling.\nWe are trying to give time back to one of the most critical roles in construction companies, the estimator.\nWe believe that builders shouldn't spend heaps of time searching through 1000s of documents - they should be building",
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        "title": "Business Intern - Summer 2027",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/LFdioyl-business-intern-summer-2027",
        "location": "Stockholm, Stockholm County, SE",
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        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108060,
        "title": "Business Developer ",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/Ug4Njo7-business-developer",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108061,
        "title": "Construction Evaluation Engineer - Part-Time",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/KfaKQd2-construction-evaluation-engineer-part-time",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1K - $100K / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108062,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/2fZBSaD-forward-deployed-engineer",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      },
      {
        "id": 108063,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/s9Efs6z-account-executive",
        "location": "Stockholm, Stockholm County, SE",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      },
      {
        "id": 108065,
        "title": "Developer Intern - Summer 2027",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/XmiJoZB-developer-intern-summer-2027",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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      {
        "id": 108188,
        "title": "Solution Engineer - Integrations Focus",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/9PcN4kH-solution-engineer-integrations-focus",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 110236,
        "title": "Brand Marketing Manager",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/8raDa8o-brand-marketing-manager",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
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        "experience": "1+ years",
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    "launches": [
      {
        "id": 94176,
        "title": "Brickanta 🧱 the construction estimator's best friend 👷‍♂️🏗️",
        "tagline": "Cursor for construction estimation & project management",
        "body": "👋 We’re [Brickanta](https://brickanta.com/) (F25), building _cursor for construction estimation & project management._\n\n**TL;DR**: Our AI platform analyzes construction estimates and project details to automate admin work, reduce errors, and accelerate delivery. 👉 _We’d appreciate your social media hype support and any potential intros, as we look to make more connections in the construction and real estate industry._\n\n**Why this matters**\\\nConstruction projects run on mountains of paperwork, drawings, and codes. Miss one item, and budgets blow up — every year, it costs the small European country of Sweden over $11 billion (according to the government itself) and the global industry _hundreds of billions_ every year. Estimators and PMs are the heroes who keep projects on track, but today they’re buried in manual work.\n\n**How Brickanta helps**\\\nOur AI reads and organizes project docs, flags missing items & compliance risks, and supports cost analysis, tendering, and planning. It’s trained on standardized building protocols (starting with the Swedish versions of the Eurocodes, soon more countries) and integrates the systems that construction already runs on, like MS SharePoint, Outlook, and Teams — helping teams work faster, catch risks earlier, and protect margins.\n\n🎥 YC Launch Video:\n\nhttps://www.youtube.com/watch?v=za8Ya5GxMRE\n\n\\*\\*Excited to support?\\*\\*\\\n👷‍♂️🛠️👷‍♀️ We’re officially launching this week with exclusive media interviews, first public customer story, new brand + website, and more. Please check out and follow our newly created channels listed at the bottom to be part of the journey — and offer some hyping support :-)\\\n\\\n🏗️ We’d also love intros into construction and real estate companies - our MVP is currently focused on European markets (that share the fundamental [Eurocodes](https://eurocodes.jrc.ec.europa.eu/) framework)- where estimation and project management are critical.\\\n\\\n🧱🏗️  [**YouTube**](https://www.youtube.com/@Brickanta) │ [**LinkedIn**](https://www.linkedin.com/company/brickanta) │ [**X**](https://x.com/brickanta)  │ [**Facebook**](https://www.facebook.com/people/Brickanta/61581151975393/)  │ [**Instagram**](https://www.instagram.com/brickanta/?fbclid=IwY2xjawM7_n1leHRuA2FlbQIxMQBicmlkETBwMHVWZlByYk04ZW5iYnEyAR7vPpHY7lQF8Ow_5pNc9wsKP5V4us-fiDMJeepUZEwbeblZ39mJOYOA4lr1Eg_aem_5RLOiHcY_lmVUvys8OicmA) │ [**TikTok**](https://www.tiktok.com/@brickanta)\n\nYou can reach the founders on [founders@brickanta.com](mailto:founders@brickanta.com).\n\n🎥  Construction-audience-focused commercial launch video: https://www.youtube.com/watch?v=mwDEeXxtiQE",
        "url": "https://www.ycombinator.com/launches/OUy-brickanta-the-construction-estimator-s-best-friend",
        "votes": 17,
        "created_at": "2025-09-29T22:33:27.857Z"
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    "id": 30844,
    "name": "Uplane",
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    "long_description": "Uplane replaces marketing agencies with AI. We generate hundreds of ads with matching landing pages and steer the ad spend across channels like Meta, Google, LinkedIn and others. By connecting to CRM and ERP data, Uplane learns what drives profits and continuously improves campaigns.\r\n\r\nCompanies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving system. The result: Higher ROAS for enterprises and effortless, expert-level marketing for SMBs.",
    "one_liner": "Replace marketing agencies with AI",
    "team_size": 26,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1759250646,
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    "batch": "Fall 2025",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/uplane",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/uplane.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/uplane-com",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f996a4ae5a6f6c50880fc529dd16c13be2500bd.png",
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      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
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        "user_id": 2716487,
        "full_name": "Julius Körfgen",
        "title": "Founder/CEO",
        "founder_bio": "Managed 7-digit monthly ad spend as a Marketing Director of one of the fastest-growing D2C brands in Europe. Scaled a lead platform from 0 to >$10M monthly revenue in just 12 weeks.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/julius-koerfgen/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c23c3638c973e3e831769089ee1a530e0df0be2.jpg"
      },
      {
        "user_id": 822694,
        "full_name": "Marvin Abdel-Massih",
        "title": "Founder/COO",
        "founder_bio": "Studied Computer Science, Data Science, and Business at Imperial, TUM and Harvard. Received 4 different academic scholarships. Declined McKinsey offer to become right hand of a unicorn founder.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marvinabdel-massih/",
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      {
        "user_id": 346365,
        "full_name": "Lukas Vollmer",
        "title": "Founder/CTO",
        "founder_bio": "Has 15 years of fullstack experience, was Head of Engineering at two former YC companies and won Product of the Month at Product Hunt.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lukasvollmer/",
        "x_url": "",
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        "id": 91103,
        "title": "AI Marketing Strategist - San Francisco",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/aFjvQEb-ai-marketing-strategist-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $130K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 93708,
        "title": "AI Marketing Strategist Intern - San Francisco",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/TEEElmy-ai-marketing-strategist-intern-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$4K / monthly",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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      {
        "id": 94434,
        "title": "AI Marketing Strategist Intern - Berlin (German Speaking)",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/Gb8bLOl-ai-marketing-strategist-intern-berlin-german-speaking",
        "location": "Berlin, Berlin, DE",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "€2.41K EUR / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
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      },
      {
        "id": 96251,
        "title": "AI Marketing Strategist - Berlin (German Speaking)",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/lBJkLEw-ai-marketing-strategist-berlin-german-speaking",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "€60K - €100K EUR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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      },
      {
        "id": 113831,
        "title": "Growth Operations",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/GjRkpRq-growth-operations",
        "location": "San Francisco, CA, US / Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $130K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Pitch Deck: Uplane Raised $4.5 Million to Replace Marketers With AI - Business Insider",
        "url": "https://www.businessinsider.com/pitch-deck-uplane-raised-funding-to-replace-marketing-agencies-ai-2026-4",
        "date": "Apr 15, 2026"
      }
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    "launches": [
      {
        "id": 94720,
        "title": "Uplane: Replace your marketing agency.",
        "tagline": "Uplane increases return on ad spend by 20-50% by automating digital marketing with AI.",
        "body": "### TL;DR\n\nUplane (YC F25) is building AI software to replace marketing agencies.\n\nTheir AI has already created thousands of ads and landing pages, delivering a 20-50% increase in return on ad spend for their customers.\n\nCompanies waste billions on bad campaigns because they don’t have the time to do the research, personalization, and A/B testing to do the job right.\n\nUplane builds an all-in-one marketing platform that uses AI to create, launch, and test ad campaigns across Meta, Google, Taboola, TikTok, and others. The software delivers new, creative ideas, and gives full flexibility to ensure every marketing message is on brand and compliant.\n\nIn marketing, speed and analytics are essential. Humans simply can’t catch up with the speed and precision of AI.\n\nBook a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch) now.\\\n\\\nhttps://www.youtube.com/watch?v=rUhS6pz4-hs\n\n### Problem\n\nFor years, the promise of digital marketing has been data-driven revenue growth at scale. The reality for most marketers, however, is a losing battle fought with manual work.\n\nMarketing teams and their agencies are drowning in a sea of spreadsheets, unreliable data, and siloed ad platforms. They are buried in repetitive tasks: endlessly creating and testing ad variations, designing new landing pages, trying to make sense of the data, and manually shifting budgets across ads and channels. This makes it impossible to move at the speed and precision the market demands.\n\nThe result: billions of dollars are lost due to low-performing marketing campaigns. No human can do the manual work that is required to do the job right.\n\n### Solution\n\nUplane replaces manual work with AI automations.\n\n💡 **Phase 1) Insight & Creation:** Uplane analyzes the target audience, brand style, ads, competitors' ads, and even real-time market trends. It uses these insights to instantly generate thousands of ads and matching landing pages.\n\n🚀 **Phase 2) Launch & Management:** Select your favorite ads, and with a single click, campaigns go live across all channels. Uplane takes over, managing everything 24/7. It monitors performance and shifts budget to the ads and channels that deliver the highest return.\n\n📈 **Phase 3) Learning & Scaling:** Built-in dashboards give instant transparency. The insights from the data are not just useful for marketers but also for our AI. It continuously tracks ad performance, identifies best value propositions and designs, and gets smarter with every conversion. Thus, it creates better ads with every iteration.\n\n### Our Ask\n\nUplane is working hand-in-hand with ambitious companies that want to scale their marketing profitably, eliminate manual work, and make marketing that their customers love.\n\nWant more customers? Let’s talk.\n\n📅 Book a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch)\n\n👉🏻 Follow us on [LinkedIn](https://www.linkedin.com/company/uplane-com) and [X](https://x.com/uplane_com)\n\n💬 Share this post with people in your network",
        "url": "https://www.ycombinator.com/launches/Odk-uplane-replace-your-marketing-agency",
        "votes": 19,
        "created_at": "2025-10-17T17:21:33.522Z"
      }
    ]
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    "id": 30846,
    "name": "Parse",
    "slug": "parse-bot",
    "former_names": [],
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    "website": "https://parse.bot",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Parse lets developers build APIs for any website. Unlike traditional scraping tools that rely on slow, expensive headless browsers, Parse examines websites' underlying network requests and generates API endpoints automatically. This makes Parse 10-100x faster and cheaper than browser automation,. ",
    "one_liner": "Build an API to interact with any website.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1761590739,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/parse-bot",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/parse-bot.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/parsedotbot/",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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        "user_id": 986516,
        "full_name": "Alex Forman",
        "title": "Founder/CEO",
        "founder_bio": "I've been obsessed with web automation since I was 12, when I taught myself to code building sneaker bots. That early experience showed me how broken traditional scraping tools were. I launched Parse in August, hit 30K users in 3 weeks, and dropped out of Berkeley Engineering to make it the best way to programmatically interact with the internet. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alex-k-forman/",
        "x_url": "https://x.com/alexscraping",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59702956ea6d63e0855337ff76388880de105352.jpg"
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    "launches": [
      {
        "id": 95327,
        "title": "Parse - APIs for any website",
        "tagline": "Build APIs for any website that are 100X faster than browser automation",
        "body": "# **Launch BF: Parse - Build APIs for any website that are 100x faster than headless browsers**\n\nTLDR: [Parse](http://parse.bot/) reverse engineers websites and builds deterministic APIs for scraping and web automation. Instead of spinning up slow, expensive headless browsers, Parse makes deterministic APIs that use direct network requests that **cost fractions of a cent and return in milliseconds**.\n\n![uploaded image](/media/?type=post&id=95327&key=user_uploads/986516/c6b55ddc-9855-4030-84b7-a70e251330da)\n\n**The Problem**\n\nHeadless browsers are the default for web scraping and automation, but they're painfully slow and unreliable at scale. Scraping thousands of dynamic pages with Playwright or Puppeteer takes hours, often failing halfway through due to timeouts or memory issues. Repeat tasks become absurdly expensive at scale due to the cost of managing hundreds of concurrent browsers.\n\n**How Parse Works**\n\nWe reverse engineer the underlying network requests behind any action on a website and build a deterministic API to replicate it. Parse automatically handles dynamic values (session cookies, CSRF tokens, etc.), IP rotation, and antibot challenges.\n\nParse is able to build a set of endpoints to handle dynamic multi-turn interactions, such as getting the questions on a job application through one endpoint and submitting the job application through another endpoint, **even though every application has unique questions**.\n\nDemo: https://youtu.be/UZGYkH2vAS4\n\nAll of this means that the APIs that Parse generates execute in seconds and cost fractions of a cent to run.\n\n**Background**\n\nI started coding at 12 to build bots to purchase limited edition sneakers in seconds. After leaving that scene, I led engineering at a trading card market platform and researched political botnets at Berkeley. No matter where I went, I realized how crucial live web data and interaction is and how slow current solutions are. I launched the first version of Parse in August and got to 35k users in a month.\n\n**Asks**\n\n* **If you're using headless browsers for scraping or automation, let's chat.** We're launching document downloading and auth handling in the coming weeks and want to hear your pain points. If you need custom solutions build out, please email me at [alex@parse.bot](mailto:alex@parse.bot)\n* **Try Parse today** - [**Parse.bot**](http://Parse.bot)",
        "url": "https://www.ycombinator.com/launches/OnX-parse-apis-for-any-website",
        "votes": 53,
        "created_at": "2025-11-08T20:02:17.215Z"
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    "id": 30849,
    "name": "MOVEdot",
    "slug": "movedot",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff366b5cf4ba792d472cf1af716e033566ff24ff.png",
    "website": "https://www.movedot.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Our agents run hardware engineering tasks that normally take hours or days in just a few minutes, allowing engineers to process 100x more data and information. Our platform allows hardware engineers to orchestrate agents for tasks such as analyzing failures across entire test campaigns, pulling the right data and KPIs from their databases, checking how conditions (like temperature or load) affect performance and reliability, and then document findings in reports and dashboards.",
    "one_liner": "AI Agents for Hardware Engineering",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1759431340,
    "tags": [
      "Hardware",
      "Manufacturing",
      "AI",
      "Automotive",
      "Industrial"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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        "title": "MOVEdot: AI Agents for Hardware Engineering",
        "tagline": "Cursor for Engineering Analysis - From Race Cars to Factory Floors",
        "body": "Hey everyone, we’re [**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/), founders of [**MOVEdot**](https://www.movedot.ai/).\n\n# TL;DR\n\n* When developing any sort of hardware, engineers are the bottleneck due to data/information overload, creating huge inefficiencies and waste\n* We built a Cursor-like interface that allows humans and AI agents to work together on multi-modal data, achieving 10-100x efficiency\n* We started with race cars and are now expanding to other industries\n* [**Book a demo**](https://www.movedot.ai/) or email us ([founders@movedot.com](mailto:founders@movedot.com))\n\nhttps://youtu.be/tA-4cdiJ5tI\n\n# ❌ The Problem\n\nEvery engineer says the same thing:\n\n> “Too much data, not enough time.”\n\nData collection has grown 10x, but the **same human brain** still has to make sense of it. Engineers spend days digging through spreadsheets and KPIs to find what failed. Or more realistically, they give up, leaving most data unused.\n\n# ⚙️ The Solution\n\nWe built **MOVEdot**, an AI agent platform that allows you to use 10x more data to make decisions. It connects to data, video, and test standards, automating reports or answering questions like:\n\n> _When did temperature spikes cause mechanical failures, and what were early signs?_\n\nAgents process the data and produce interactive dashboards and mind maps.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/3f0d742e-35f8-4d25-8c7a-ccd153474570)\n\n# 🌍 The Vision\n\nPhysical-world testing is a **$250B market** across development, durability, and validation. Our goal: give every engineering team **thousands of AI teammates** that helps them use **100%** of their data, increasing performance and shortening time to market. From racing to robotics. From proving grounds to production lines.\n\n# 🏎️ Race Cars - Why We Started Here\n\nWe began in motorsports: time-sensitive environment with short sales cycles. Closed our first 30k deal within 2 weeks of the POC. Well, we were also race car engineers…\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/590dddb8-083c-4492-a213-a4695df7a028)\n\nSince then, we’ve onboarded dozens of racing teams and have expanded into manufacturing, with a POC at [**Tractian**](https://tractian.com/en) (YC W21).\n\n# 👥The Team\n\n[**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/) worked together for 8 years as forward-deployed engineers in an automotive consulting firm, where we realized we were the bottleneck. Girish also had a stint at Tesla, seeing the same challenges.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/d3d6577b-ae0c-4715-803e-1ad78a09d2a6)\n\n# 🔥 Our Ask\n\n* Are you an engineer working with a ton of data? [**Book a demo!**](https://www.movedot.ai/)\n* Know someone who is? Share this post!\n\nContact us at [founders@movedot.com](mailto:founders@movedot.com)",
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        "full_name": "William Huang",
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        "title": "Sylvian: Data for LLMs through Competition",
        "tagline": "Sylvian incentivizes high quality expert data for LLMs through Competition",
        "body": "We are [William Huang](https://linkedin.com/in/william-s-huang) and [Niall Kehoe](https://www.linkedin.com/in/niallkehoe/), and we’re launching [Sylvian](https://sylvian.ai)! We gather expert data for LLMs through competitions, starting with tool use (e.g. Excel, VSCode).\n\n![uploaded image](/media/?type=post&id=95160&key=user_uploads/1252639/cb059d06-59e0-402c-a49e-02752bbb9e17)\n\n**Problem**\n\nScaling laws dictate that LLMs continue to need lots of expert data, despite advances in RL. Even RL environments require data—for example, an environment that allows LLMs to edit spreadsheets in Excel would still require sample spreadsheets to define the task at hand.\n\nUnfortunately, existing data vendors like Scale or Mercor are not motivating the best experts through part-time pay.\n\n**Our Solution**\n\nSylvian hosts competitions where the best experts are motivated by the thrill of moving up leaderboards and the prestige of winning a large competition. We’re starting with tool use data because there are many expert communities surrounding tools like Excel and VSCode.\\\n\\\nWe already have 4,500+ experts, from IMO Golds to MIT/Stanford PhDs to full time QRs at Point72, producing data at 1B tokens/week!\n\nOur data is consistently at the frontier. Below is the result of one of our latest benchmarks we made with VSCode data from Data Science experts. See [sylvian.ai](https://www.sylvian.ai/blog/quant-benchmark) for more details.\n\n![uploaded image](/media/?type=post&id=95160&key=user_uploads/1252639/b874f47f-fef0-46c4-b26c-0d60887aadc5)\n\n**Our Story**\n\nWilliam won an IPhO Gold at 17 and Niall has won international coding contests at 13, since then we’ve went on to be a part of Stanford CS, Harvard Medical School, Citadel Securities, Two Sigma, and Waymo. \n\n**Our Ask**\n\nIf you’re in need of expert tool use data, we’d love to speak to you! You can reach us at [founders@sylvian.ai](mailto:founders@sylvian.ai) or visit [sylvian.ai](https://sylvian.ai).",
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        "full_name": "Assem Chammah",
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        "full_name": "Shady Al Shoha",
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        "founder_bio": "Co-founder (CTO) of NexusGPT",
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        "title": "Nexus – Enabling Business Teams to Build AI Agents Without Code",
        "tagline": "Build agent without waiting for the engineering team",
        "body": "![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/d8f3dd70-cd99-48ee-b914-f303f372157c)\n\n**TL;DR:** Nexus is a platform enabling non-technical business teams to create production-ready AI agents in days, not months.\n\n---\n\n## We're Nexus\n\nWe're Assem and Shady, the Nexus team. We've been in the AI trenches since 2019, and we kept watching the same painful pattern repeat at every enterprise.\n\nhttps://youtu.be/ItX32Iqx2I8\n\n---\n\n# The Problem: 95% of Enterprise AI Projects Fail\n\n**MIT reported in August 2025 that 95% of enterprise AI projects fail.** The reason? Engineering can't ship fast enough.\n\nConsider this scenario: Your sales team needs an AI agent to qualify leads, research companies, and personalize outreach. It's a perfect use case for AI. You know exactly what you need.\n\nBut here's what actually happens:\n\n* **Engineering has a 6-12 month backlog** – Your project gets queued behind critical infrastructure work\n* **By the time they start building**, GPT-5 is out and your GPT-3.5 solution is already obsolete\n* **By the time they finish**, your business needs have completely changed – that lead qualification process? Your team evolved it three times already\n* **The solution is rigid** – Any change means another engineering ticket and another 3-month wait\n\nWe watched this pattern destroy brilliant AI initiatives across industries. A telecom giant had a chatbot stuck with IT for over a year. Global consultancies spent 6+ months with external developers with nothing to show. Private equity firms rebuilt the same infrastructure from scratch, over and over.\n\n**Companies that lose on speed lose big.** While you wait, competitors are moving. Markets are shifting. Opportunities are disappearing.\n\nThe bottleneck isn't ideas, budget, or even AI capabilities. **It's implementation speed.**\n\n---\n\n# The Solution: Give Business Teams the Power to Build\n\nInstead of waiting for engineering or buying rigid pre-built solutions, Nexus gives enterprises the infrastructure to build their own agents reliably – **no code required**.\n\n### **How It Works:**\n\n**1. Create agents with natural language**\n\nDescribe what you want in plain English. \"Build a agent that screens job applications, checks LinkedIn profiles, and schedules interviews with qualified candidates.\" and Nexus kickstarts the building of your agent from scratch\n\n![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/ccf88c58-51d1-47ac-8ea3-c65df19334e6)\n\n**2. Connect your entire company stack**\n\nConnect any system, choose any AI model, integrate any tool. With 4,000+ plugins plus custom API support, your agents work with your entire tech stack. No vendor lock-in\n\n![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/32849f6b-6efa-4ca7-84ad-dbfd77f82ab7)\n\n\n**3. Build complex agentic workflows**\\\nVisual builder with AI actions, web search, data extraction, and integration with over 4,000 business apps. No coding, just drag and drop.\n\n![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/153019f0-f934-4928-a636-53a634f24991)\n\n**4. The Secret Sauce: Nexus Flow**\n\nTraditional automation forces a bad tradeoff:\n\n* **RPA tools** – Work perfectly until your process changes (then break instantly)\n* **AI workflows** – Handle some variation but hit walls with real complexity\n* **Open-ended agents** – Might solve it brilliantly. Might hallucinate. You never know.\n\n**Nexus gives you both:** Our Agentic Flow lets you decide when agents should think and adapt vs. when they need zero-hallucination reliability. Full intelligence when you need it, bulletproof accuracy when it matters.\n\n---\n\n# Proven at Scale: Orange Belgium\n\nhttps://youtu.be/MEvaTTG9IrY\n\nOrange Belgium needed to transform their customer onboarding. Previous scripted chatbots were a good start, but customers expected natural conversations, not predefined menus.\n\n**A non-technical team member used Nexus to build a complete AI sales agent in one week:**\n\n* Connected to Orange's entire product catalog and internal systems\n* Deployed on WhatsApp for omnichannel customer reach\n* Is relentless about closing the sales while answering concerns\n* Live in production, serving thousands of customers\n\n**The Results:**\n\n* **$4M+ in monthly revenue** generated by this single agent\n* **+50% conversion rate**\n* **+10 points customer satisfaction**\n\n_\"With Nexus, we've given every prospect a knowledgeable consultant available 24/7. It's like speaking to our best-trained advisor, anytime.\"_ – Laurent Stevens, Digital Performance Specialist, Orange Belgium\n\n---\n\n---\n\n# How We Got Here\n\nWe've been building AI systems since 2019, pre-ChatGPT. We helped enterprises implement everything from custom LLM pipelines to agentic workflows.\n\n**The breaking point came when we saw the same infrastructure being rebuilt over and over:**\n\n* Prompt engineering frameworks\n* Evaluation pipelines\n* Testing infrastructure\n* Integration layers\n* Deployment systems\n* Monitoring and observability\n\nEvery enterprise was spending 6-12 months building the exact same foundation. Meanwhile, brilliant AI ideas died in committee meetings and engineering backlogs.\n\nWe thought: **What if we built this infrastructure once, made it enterprise-grade, and let business teams build on top of it?**\n\nThat's when we knew we had something.\n\n---\n\n# Our Ask\n\nWe'd love to help automate your workflows – or connect you with enterprises that need this!\n\n**If you know someone at a large organization (200+ employees) with:**\n\n* A challenging AI roadmap stuck in implementation\n* A need to integrate reliable AI across multiple departments\n* Frustration with current solutions or development speed\n\n**We'd love to chat.** Reach out to [**assem@gpt.nexus**](mailto:assem@gpt.nexus) and we can set up time to discuss how Nexus could help, or book directly at https://calendly.com/assem-obpv/nexus-demo-call\n\n---\n\n_P.S. – We're SOC 2, ISO 27001, ISO 42001, and GDPR certified. Enterprise-grade security is built in from day one._ 🚀",
        "url": "https://www.ycombinator.com/launches/OXb-nexus-enabling-business-teams-to-build-ai-agents-without-code",
        "votes": 14,
        "created_at": "2025-10-03T14:09:38.768Z"
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    "name": "Bolna AI",
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    "long_description": "Bolna handles the complexity of voice infra, so enterprises can automate calls faster, better, and cheaper, at scale\r\n\r\nBolna is a Voice AI Orchestration platform purpose-built for Indian enterprises.\r\nBusinesses in India run tens of thousands of calls every day - across sales, support, collections, recruitment, and more. Bolna gives them the power to build and deploy Voice AI Agents directly from their transcripts and FAQs, so they can start automating calls immediately.\r\n\r\nWith Bolna, enterprises get:\r\n\r\n1. Full control over agent intelligence, tone, and workflows\r\n2. Cost efficiency at scale with smart routing across providers and price points\r\n3. Enterprise-grade performance on latency, interruptions, multi-language, and multi-accent understanding\r\n\r\n",
    "one_liner": "Voice AI to enable India's next billion",
    "team_size": 21,
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        "full_name": "Maitreya Wagh",
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        "founder_bio": "Engineer turned Consultant turned AI Founder. Building the Total Voice AI Ochestration for India. Love sports and travel",
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      {
        "user_id": 340680,
        "full_name": "Prateek Sachan",
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      {
        "title": "Bolna nabs $6.3M from General Catalyst for its India-focused voice orchestration platform",
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        "date": "Jan 20, 2026"
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      {
        "title": "Bolna AI’s Bold Bet: Becoming the Distribution Layer for Every Voice Model",
        "url": "https://analyticsindiamag.com/ai-startups/bolna-ais-bold-bet-becoming-the-distribution-layer-for-every-voice-model/",
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        "id": 94216,
        "title": "Bolna - Voice AI for India",
        "tagline": "We enable Indian businesses to automate calls with multilingual, realistic Voice AI agents",
        "body": "Call our AI Agents at [+18722412481](tel:+18722412481) or [+912269539260](tel:+912269539260) to know everything about Bolna!\n\nhttps://www.youtube.com/watch?v=Lq9ouROmRHA\n\n**The Problem**\n\nIn India, phone calls remain the backbone of how businesses operate - from banks chasing loan repayments, to edtech companies qualifying leads, to e-commerce brands confirming deliveries. Millions of such calls happen every day. But the system is broken:\n\n* **20+ Languages, 200+ Accents/Dialects**: Building a team that can handle all is impossible. Calls often switch mid-conversation (Hindi → Hinglish → Gujarati), and only a natural, adaptive AI can follow along and give a personalised experience to each caller.\n* **Context-Dependent Requirements**: A delivery driver in Bangalore needs a low-latency, Kannada-capable model with high noise cancellation. A recruitment call to an engineer requires a slower but higher-quality reasoning model. There is no “one model to rule them all,” and integrating and managing 100s of models at scale is an unwanted hassle for businesses.\n* **Cost Efficiency at Scale**: In India, every rupee matters. Voice AI must be engineered for efficiency - pre-recorded messages for common utterances, smaller vertical-focused models, and intelligent routing to minimize token usage.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/bb2d0f37-0050-4606-8271-c8664a3d541b)\n\n**The Solution**\n\nBolna is a **Voice AI Platform** purpose-built for India’s scale, linguistic complexity, and cost sensitivity. We enable enterprises to go live with thousands of concurrent calls in days, not months.\n\n* **Enterprise-grade performance**: Sub-500ms latency, interruption handling, multi-language (10+) and accent (50+) adaptation, fluent in natural multi-language conversations (Hinglish, English + Tamil etc.)\n* **India-specific routing**: Bolna automatically picks the optimal model blend for the context, regardless of language, region, or use case.\n* **Cost-efficiency engine**: Calls are optimized with pre-recorded inserts, cheaper small models where possible, and routing logic that prioritizes ROI without sacrificing experience.\n* **Complete control**: Enterprises define workflows, tone, and intelligence. Bolna handles everything behind the scenes.\n\nToday, Bolna powers **500K+ minutes of calls every month** across BFSI, e-commerce, and recruitment. Customers achieve **higher pickup rates, lower costs, and faster deployments** than with any alternative.\n\nFor Indian enterprises, Bolna is not just automation, it is the fastest path to scaling voice operations profitably.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/b5dd1f69-0a2d-4256-97d8-fc281cbccd14)\n\n",
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        "created_at": "2025-09-30T05:29:03.741Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hyperspell is your Company Brain. AI agents are brilliant and clueless. They ace any test and still have no idea how your company works. Hyperspell connects your tools and synthesizes documents and conversations into a live, permissioned context graph. Any agent can read from it and write back to it like a filesystem, with every fact traced to source.",
    "one_liner": "Your Company Brain",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1760534513,
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Conor Brennan-Burke",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Hyperspell, Context & Memory for AI Agents",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/conorbrennanburke/",
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        "user_id": 31259,
        "full_name": "Manu Ebert",
        "title": "Founder",
        "founder_bio": "4x Founder, 2 exits, 15 years in AI & ML",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/maebert",
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        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/hyperspell/jobs/MvG48cH-founding-ai-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150 - $220",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 92644,
        "title": "Founding Platform Engineer",
        "url": "https://www.ycombinator.com/companies/hyperspell/jobs/rMoV1RO-founding-platform-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "0.50% - 1.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 92647,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/hyperspell/jobs/iLXJT3r-founding-forward-deployed-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150 - $220",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 94666,
        "title": "Hyperspell: Memory for AI Agents",
        "tagline": "Give your agents long-term memory and context from your entire workspace",
        "body": "[**Hyperspell**](https://hyperspell.com) **is the memory layer for AI agents.** We help developers connect data from tools like Slack, Gmail, Notion, and Google Drive so their agents can recall, reason, and learn over time.\n\n🎬 Watch our launch video: https://youtu.be/t6ji-n9qHYo?si=rALHJ2KaTiAieEvq\n\n---\n\n### Hi there!\n\n**Conor** led a $30m ARR API business at Checkr, building infrastructure used by tech companies like Doordash and Airbnb. **Manu** has 15+ years of Machine Learning experience. His previous ML/AI startup got acquired by Airbnb, where he went on to build Airbnb’s first Knowledge Graph. Manu has also owned .ai domains since 2014 when he bought one for his first startup (back then he had to send a fax to Antigua to get one).\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/5e5241c7-861b-4213-b864-c448b6091fba)\n\n> ---\n\n### **AI Agents are clueless geniuses**\n\nToday, AI agents show up like it’s their **first day on the job** — sometimes impressive, but with no awareness of your context, institutional knowledge, history, and preferences. Worst of all, without the ability to learn and improve, they will only ever be as good as they are on day one.\n\n---\n\n### **Hyperspell fixes that.**\n\nWith our SDK, developers can add a context and memory layer to any agent in minutes. Pre-built connectors let users connect their tools like Gmail, Notion, and Slack, so that **memory doesn’t start from zero**: Hyperspell will analyze all existing files and conversations, figure out the important people, projects, and facts, and make it all available to your agent through our Agentic Memory Network.\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/036418ad-5a83-4da0-95d0-c939ec3fafa2)\n\nBest of all, **it improves with every single interaction:** Our novel approach to memory reinforces what’s being recalled, and helps your agent improve over time.\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/282eb1cf-bd7f-49b5-81e3-a5fe74e53896)\n\n### **But wait, there’s more!**\n\nThere’s lots of different ways our customers use Hyperspell, and because of that there’s lots of different ways you can integrate Hyperspell into your own agent. To make this easier, we created the **first ever self-integrating SDK**. \n\nWatch how we go from zero to production-ready PR on an unknown codebase with our custom Claude Code skill:\n\nhttps://www.youtube.com/watch?v=gfYsXJJsX3k\n\n# **Our Asks:**\n\n* Book a demo right now: https://cal.com/conor-brennan-burke/\n* Spread the word on linkedin and twitter: \\\n  [https://www.linkedin.com/company/hyperspell](https://www.linkedin.com/company/hyperspell/%5C)\\\n  https://twitter.com/hyperspell\n* Share your feedback with [conor@hyperspell.com](mailto:conor@hyperspell.com)\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/f032811f-ff1e-4f87-af1c-edd2f051e25f)\n\n",
        "url": "https://www.ycombinator.com/launches/Ocs-hyperspell-memory-for-ai-agents",
        "votes": 426,
        "created_at": "2025-10-15T14:47:48.970Z"
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    "id": 30856,
    "name": "Scoop",
    "slug": "scoop",
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    "website": "https://scooplabs.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re building AI agents that speed up drug trials by automating the manual consolidation and document prep required for every IND submission. Today, biotechs spend months stitching together reports from contractors and internal teams just to file and get to their first-in-human trial.",
    "one_liner": "Automating regulatory submissions for life sciences",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762725446,
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/scoop.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "name": "Tom Blomfield",
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        "user_id": 822396,
        "full_name": "Vincent Park",
        "title": "Founder/CEO",
        "founder_bio": "CEO and Co-founder @ Scoop. Previously at Persona and Dropbox.\n\nWorking on Scoop to help speed up drug trials, starting with IND filings, to help companies bring life-saving treatments to market faster.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/vpark",
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      {
        "user_id": 476131,
        "full_name": "Jay Kwon",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO @ Scoop.\n\nEx-Google Search applied AI (Gemini CoT), supported IND and Phase III clinical trial design for ALS therapy at Corestem, prev at Genentech and CJ Bioscience. MS in Computer Science and Biotechnology from Penn.",
        "is_active": true,
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      {
        "id": 95349,
        "title": "Scoop: AI agents that speed up drug trials, starting with IND filings",
        "tagline": "We create ready-to-submit regulatory documents so new therapies can reach clinical trials faster",
        "body": "Hey everyone, we’re Jay and Vincent.\n\ntl;dr: Scoop uses AI to automate the paperwork required to start and maintain human drug trials, reducing timelines from months to days.\n\n![uploaded image](/media/?type=post&id=95349&key=user_uploads/476131/f682e615-6b6a-487a-b532-58158884d410)\n\n**The Problem**\n\nBiotechs spend months preparing the documentation required to start human trials. Most of the time goes into organizing results, rewriting information across many documents, and keeping everything consistent.\n\nCompanies often hire Contract Research Organizations(CROs), which run clinical trials and also help prepare these submissions. But their document assembly process is still manual and slow, so timelines stretch and costs rise.\n\nEvery update requires repeating the same work. This delays trials and wastes $$$ before a single patient is treated.\n\n**The Solution**\n\nScoop turns your internal data and study reports into a continuously updated submission workspace.\n\nOur system generates the draft documents in the required structure, keeps everything consistent when new data comes in, and flags anything that needs review. Teams focus on approving content, not assembling it.\n\nWhat used to take months can now be completed in days.\n\n**Impact**\n\nWe're compressing IND assembly from the order of months to days. For a typical biotech, that means:\n\n* Getting to first-in-human trials 2-5 months faster\n* Saving $100K+ in CRO fees per submission\n* Reducing rejection risk through automated compliance checks\n\n**About Us**\n\n![uploaded image](/media/?type=post&id=95349&key=user_uploads/476131/5591f53a-d15a-449b-857d-c723e3535665)\n\nWe met at UPenn 16 years ago (yes, it’s been a minute) and have been best friends ever since.\n\nVincent led AI-powered document processing for Fortune 10 companies at Persona, automating KYB/KYC workflows at massive scale. Previously, he was a tech lead at Dropbox.\n\nJay was a tech lead in Google Search AI and previously worked at biotechs including Genentech, and has helped file INDs and led statistical design work for a Phase 3 ALS clinical trial. He holds two MS degrees in both Biotechnology and Computer Science.\n\nWe've seen both sides of this problem: the AI capabilities that can solve it and the regulatory complexity that makes it hard.\n\n**Our Ask**\n\nWe’d love warm introductions to regulatory leads at biotechs or CROs who want to accelerate IND preparation and modernize their submission workflows.\n\n📨 [founders@scooplabs.ai](mailto:founders@scooplabs.ai)\n\nThanks!",
        "url": "https://www.ycombinator.com/launches/Ont-scoop-ai-agents-that-speed-up-drug-trials-starting-with-ind-filings",
        "votes": 53,
        "created_at": "2025-11-10T02:17:36.817Z"
      }
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  },
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    "id": 30857,
    "name": "Aspect",
    "slug": "aspect-inc",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/815d0ff1058841ad5ec2314755cc2f91d92a6472.png",
    "website": "https://aspect.inc",
    "all_locations": "New York City, NY, USA",
    "long_description": "Aspect helps creative teams consolidate 5 media tools into one platform. We provide everything a media team needs: file ingest, local file streaming, review and approval, sharing, and archiving. \r\n\r\nAspect workspaces come with an agent that has complete understanding of your asset library including comments and revisions. Ask the agent to complete any task in the background: searching for files, setting up folder structures, labeling and organizing footage, and much more.\r\n\r\nCheck out https://aspect.inc/use-cases to see how different media teams use Aspect to deliver content faster.",
    "one_liner": "Intelligent media storage for creative teams.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1761607655,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
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        "full_name": "Gurish Sharma",
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      {
        "id": 101753,
        "title": "Aspect: Intelligent media storage for creative teams.",
        "tagline": "Aspect is the creative asset management platform that lets teams store, stream, review, and archive media in one place.",
        "body": "# TL;DR\n\nYour editor shouldn't have to download 100GB to start cutting. Your producer shouldn't have to re-upload that same file to review it. And nobody should be Slacking “which Dropbox folder is the latest version?” at 11pm. Aspect is the single platform where footage goes from upload, to local editor timeline, to client review link, without touching a second tool. Oh, and every workspace has an AI agent that knows every face, every word, and every frame across your entire library.\n\n# What Aspect does:\n\n[**Cloud storage that connects like a hard drive:**](https://aspect.inc/features/instant-access) Aspect mounts to your desktop like an SSD, and streams the bytes your application needs, so a 200GB R3D timeline plays back the moment you double-click it, even if your laptop only has 50GB free. Every project change syncs in real time across your team, so everyone can work on the same timeline.\n\n**Agentic search and work:** For the first time, a media platform comes with an AI agent that actually understands your content. Say _“collect everything from the Chicago shoot with the client’s logo, add it to a collection, and send a view-only link to the client”_ and it just does it.\n\n[**Review and approve:**](https://aspect.inc/features/review-and-approve) Every asset your team uploads or exports to the Aspect drive is instantly reviewable. Frame-accurate commenting, markup tools, version comparison, and customizable share links are built into every file.\n\n# How do I actually use this?\n\nUse Aspect as your team’s single source of truth for media files on the cloud and locally on your desktop. Our team will copy over any files your team already has on Dropbox, Google Drive, Frameio, or any other platform for free.\n\n**1)** Start by mounting a project from Aspect to your local desktop. Your project shows up as a hard drive on your computer. Open any file, no matter how large, and we will stream the bytes your computer needs to play back the video instantly. Any changes you make in a Premiere, Resolve, or Final Cut project show up for everyone else on your team in their timeline as well.\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/f374bc9d-a686-414a-9a8e-4547c8f89e92)\n\n**2)** When you are looking for a piece of media, ask the Aspect agent to retrieve it for you. Right click on a file and open it directly in Finder:\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/60636a50-1da5-4665-bd15-603f12eae6bd)\n\n**3)** When you are done with a rough or final cut, export the file back to the Aspect drive. New files sync across everyone who has the project mounted, and a preview will be generated automatically for your team to view the file on any browser:\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/6eb26f19-ec05-4d2e-b8e7-1136fcc3224f)\n\n**4)** Review, markup, comment, and share this file the same way you would on any platform:\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/f20bd7b5-59d4-4552-8a00-c4aa63037f10)\n\nAnd when you are done with a project or campaign, move them to archive storage with one click where your team can still view, search, and share assets.\n\n# Aspect is how teams save dozens of hours and thousands of dollars working with their media.\n\nMedia teams today are forced to stitch together multiple point solutions because there wasn't a platform that could do it all. Files lived in Dropbox, reviews live in Frameio, and editors streamed from LucidLink. That’s three subscriptions, three sources of truth, none of them connected. Aspect replaces all three, built with an agent that’s like having a DIT who’s already watched every frame.\n\n### **Do us a favor**\n\nIf you know someone that works in post-production, **send them this post!** If you are someone who works at a post-house, creative agency, or an in-house creative team, let’s see how we can help your team ship content faster: <https://cal.com/team/aspect/aspect-for-teams>\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/71f8d28c-dea4-4d5c-9012-fe1236587b07)\n\n",
        "url": "https://www.ycombinator.com/launches/QTB-aspect-intelligent-media-storage-for-creative-teams",
        "votes": 22,
        "created_at": "2026-05-22T02:59:09.771Z"
      },
      {
        "id": 94992,
        "title": "🎥 Aspect: AI platform for enterprise media content",
        "tagline": "We help enterprise content teams go from ingest, to rough cut, to final delivery faster by automating non-creative work",
        "body": "Hey! We’re Edison, Gurish, and Bright - founders of [Aspect](https://aspect.inc) 🎥 💥\n\n### **TL;DR**\n\nWe’ve spent **10,000+ hours** with in-house content teams as the founding members of a media asset management company, learning every broken part of their workflow. Post-production supervisors and assistants still have to organize folders, check revisions, comb through old content, and update data across project management tools, not to mention constant upkeep with clients. These are just a few of the manual tasks keeping creatives from doing what they love.\n\n**Aspect takes care of everything and more.**\n\n<https://www.youtube.com/watch?v=1EwHnYKPWBo>\n\n### What Aspect Does:\n\n* Ingests media from traditional post-production storage apps and NAS storage\n* Crawls every frame of video to create a humanlike understanding of whole libraries\n* Connects to other business tools to keep data in sync without human intervention\n* Searches for second-accurate clips, assembles rough cuts, reviews footage, creates folder trees - anything a post-production expert can do, Aspect can do\n\nAspect is the single source of truth from ingest, to rough cut, and final delivery, with agents you can send off to do the mundane work you hate.\n\n### How do I actually use this?\n\nAsk Aspect to pull your latest storyboard from an external app, or upload a PDF and ask it to assemble a rough cut from your latest shoot:\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/8622bede-339a-44b8-bcde-f48fa6304dc7)\n\nUse the @ in a comment like you would with a teammate and ask Aspect to review a video based on revision notes from a previous version or another app:\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/de627308-8f5b-4e4d-8dc5-b14fa894a57a)\n\n…and so much more.\n\n### Aspect is the Future of media Production:\n\nPrevious waves of media-tech only focused on simplifying media retrieval with brittle tagging and non-actionable semantic search. The reality is that searching for files is just a fraction of the time wasted by post-production teams. Aspect is built on agents with humanlike **visual-temporal understanding**, so they _go beyond_ _just search_ - they work with video like any post-production teammate and can scale infinitely.\n\n### Our Story:\n\nWe’re [Edison](https://www.linkedin.com/in/edison-chiu/), [Gurish](https://www.linkedin.com/in/gurish-sharma-/), and [Bright](https://www.linkedin.com/in/brightxu/)! We spent 3 years learning about every role in post-production teams across thousands of companies. Post-production is by far the most human labor concentrated task in the creative journey, which is why we are building _the autonomous layer_ for the $200B video production industry.\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/80f3db12-ae95-4e7b-afbf-1e6e14e5d0e9)\n\n### Do us a favor:\n\nIf you know someone that works in post-production, **send them this post!** If you are someone who works at a post-house or within an in-house media team, let’s see how we can make your team move faster: <https://cal.com/team/aspect/aspect-for-teams>\n\nWe are available whenever you are at 📫 [founders@aspect.inc](mailto:founders@aspect.inc) and 🌐 [aspect.inc/](https://aspect.inc)\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/53e175e2-728b-4b53-b931-6e7628c70249)\n\n",
        "url": "https://www.ycombinator.com/launches/Oi8-aspect-ai-platform-for-enterprise-media-content",
        "votes": 23,
        "created_at": "2025-10-29T01:25:45.072Z"
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    "all_locations": "San Francisco, CA, USA",
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    "one_liner": "AI agents for on-call",
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        "full_name": "Andy Lee",
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        "founder_bio": "Co-founder at Deeptrace. At Tesla, Andy worked on visualization and sim for Optimus. He also worked on build/flight reliability at SpaceX for Starship, Falcon, and Dragon.",
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        "linkedin_url": "https://www.linkedin.com/in/andy-lee-126073148/",
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        "full_name": "Sri Somasundaram",
        "title": "Founder",
        "founder_bio": "Co-founder at Deeptrace. Built and launched the embedded card + banking product at Parafin.",
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        "id": 90890,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/deeptrace/jobs/HUgeLrM-founding-engineer",
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        "id": 95393,
        "title": "Deeptrace - AI agents for on-call",
        "tagline": "Triage, root-cause, and fix every engineering alert on autopilot",
        "body": "**tl;dr** Deeptrace is an AI SRE that investigates and resolves production alerts end-to-end. Deeptrace cuts through the noise, pinpoints root causes instantly, and gives engineering teams back what they need most: the freedom to build instead of firefighting.\n\nHey everyone! This is Andy and Sri from Deeptrace, and we’re building the tool we always wished we had as engineers: AI agents for on-call :) \n\n[Deeptrace: AI agents for on-call](https://www.youtube.com/watch?v=G7xrTHTxZ4k)\n\n🚨 **Problem**\\\nModern engineering teams spend the majority of their time maintaining and debugging production systems. The process of triaging, root causing, and resolving alerts is a massive drag on engineering velocity. This also creates fragile dependencies within an engineering org where no one engineer can hold every system in their head.\n\n**💡 Our Solution**\\\nAI agents that debug every issue, crash, and alert in production automatically from alert to PR. Here’s how it works:\n\n**1) AI FDE model:** Build an internal mapping between your logs, traces, metrics, and codebase to truly understand how your production system behaves.\\\n**2) Automatic PRs:** Use the context from each investigation to make a targeted PR to remediate the issue.\\\n**3) Chat:** Engage in a co-pilot experience with Deeptrace to vibe debug and dig deeper into an issue.\n\n**🤝 Our ask**\\\nWe’d love to talk! Check us out [here](https://deeptrace.com) and feel free to email us at: [founders@deeptrace.com](mailto:founders@deeptrace.com) or book a [meeting](http://cal.com/sri-deeptrace)! ",
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        "created_at": "2025-11-12T06:56:34.497Z"
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    "long_description": "We make your agents pay.\r\n\r\nAs agents evolve from tools into dependable, autonomous actors, they’ll need the ability to execute open-ended workflows end-to-end.\r\n\r\nThis inevitably means payments: accessing paywalled data, transacting for services or with other specialist agents. But autonomy requires guardrails. Businesses and developers will need a way to ensure their agents only spend how much and on what they’re supposed to.\r\n\r\nThe machine economy is coming, and Locus (YC F25) is building the connector businesses will need to participate. We connect agents securely to funds, letting you define permissions and limits for every transaction. Each payment is traceable, auditable, and fully reconcilable with your existing financial stack.",
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    "team_size": 2,
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        "user_id": 2656097,
        "full_name": "Cole Dermott",
        "title": "Founder/CEO",
        "founder_bio": "I like moving money. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/coledermott/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52c3bdc2a2434f4dbceafbdc97c3d23d62ce9210.jpg"
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      {
        "id": 103214,
        "title": "Locus Founder",
        "tagline": "An AI agent that builds and runs an internet business for you",
        "body": "![uploaded image](/media/?type=post&id=103214&key=user_uploads/2656097/bfeee97f-7eb2-42d3-ad2e-b02cfc5ee724)\n\nHey everyone 👋\n\nOn Monday, June 15th, at 8am PST we're launching **Locus Founder** (<https://locusfounder.com/>), an AI agent stack that builds and runs an internet business for you. You bring the idea, it does the rest, and you drive the whole thing by texting it (iMessage, SMS, Telegram, or web).\n\n**What it does**\n\nText it an idea and it goes to work. It researches you and proposes a business aligned to who you are, does market research across 40+ paid data APIs, generates a full brand kit, and builds and deploys a real full-stack website (frontend, backend, database, the works). From there it sources products (print-on-demand, digital goods, or a curated catalog of 500+ dropshippable products), runs outbound across email and social, sources leads from Apollo, Google Maps, Reviews, Instagram, YouTube, and Yelp, generates short-form video ads and posts them to Meta, and handles payments (USDC direct transfers, card in/out). Loki, our mascot, is the face guiding you through all of it.\n\n**Demo video:** <https://www.loom.com/share/3796f2a13afb48d69e83a92d9debe963>\n\n**The backstory**\n\nA lot of you watched the earlier pieces ship, so the arc will be familiar.\n\nWe started with **Pay With Locus**, non-custodial wallet infrastructure so AI agents could spend money safely, with spending controls and auditability built in. The feedback was consistent: why would we give an agent money when there's nothing for it to buy?\n\nSo we built the supply. **Build With Locus** (full-stack deployments for agents via pay-per-use API endpoints), a catalog of 40+ pay-per-use data APIs, and **Checkout With Locus** (a Stripe-style, machine-readable payment SDK that takes USDC, is human-or-agent payable, and settles funds straight back into the agent's Locus wallet).\n\nThen users hit us with the real one: why would I still give it money if it can't earn me any back? I'm not comfortable handing my agent a dollar knowing it can't reasonably make me one.\n\n**_That question is the entire reason Locus Founder exists:_** the AI agent that earns you a dollar by running your business, just by texting it. And it's an evolution of everything we've built. Every Locus Founder user is a Pay With Locus user (credits run off our wallets), a Build With Locus deployment (sites deploy on BWL), and a consumer of our pay-per-use API suite. It's the first app anyone can pick up and use, sitting on top of all of our infrastructure.\n\n**_The honest why underneath it:_** the K-shaped economy framing has never sat right with me. The tools to build aren't so expensive that people are fully priced out yet. There's still a window where someone can make an active effort to change their trajectory. Locus Founder is our effort. It's for the people who always wanted to start something but kept running out of time, money, skills, or resources. We're bringing the same AI tools us folks in tech have been bragging about for two years directly to everyone else, in a form they can actually use. Above all else, our goal is to earn our users a dollar.\n\n**Launch video:** <https://youtu.be/cjFsHAWvv7w>\n\n**Pricing (kept honest):** We’re doing limited daily free usage so people can try the product instantly. Additionally, we have a subscription for $50/mo which includes effectively unlimited access. We take 5% of profits only above $1,000/mo, and nothing under that. Our goal is truly for our users to earn.\n\n**My asks**\n\n1. **Try the onboarding and tell me where it's rough.** I want the brutal version. [locusfounder.com](http://locusfounder.com)\n2. **Intros to anyone who's always wanted to start something but never had the time.** That's exactly who we built this for.\n\nThank you all. This community has been a huge part of getting us here.\n\nCole",
        "url": "https://www.ycombinator.com/launches/Qqk-locus-founder",
        "votes": 7,
        "created_at": "2026-06-14T23:16:28.675Z"
      },
      {
        "id": 95052,
        "title": "Locus – Payment infrastructure for AI agents",
        "tagline": "Give AI agents spending power without losing control",
        "body": "![uploaded image](/media/?type=post&id=95052&key=user_uploads/2656097/b9c1fd17-80cf-4a84-b400-34fc2577f0db)\n\nHey YC! We’re Cole and Eliot, and we’re building **Locus,** which is payment infrastructure for AI agents. We help developers safely connect agents to funds and define exactly how those funds can be used, with agent identities, budgets, permissions, and full audit trails.\n\n# Our Story\n\nWe came to this problem from opposite ends of the same frontier. Cole spent last summer at Coinbase, building B2B payment products and seeing firsthand how control and compliance shape financial infrastructure. Eliot was working at Scale AI, maintaining data pipelines for the world’s largest AI labs. He watched as models began to tackle sustained, open-ended tasks. Both of us realized that as agents grow more capable, the next bottleneck isn’t intelligence: it’s _trust_.\n\nPayments are a web primitive. And as we task agents with increasingly long and noisy workflows, they will _inevitably_ need to make payments. This might mean ordering parts to complete a physical repair, paying another agent for design work, hiring a contractor for a one-off task, or making micropayments to access private data.\n\nBut today’s payment rails were built for humans, not autonomous systems. There’s no safe way to say, “this agent can spend $500/day on these vendors,” and have that rule enforced. No audit trail showing which agent authorized what and why.\n\n# Make Them Pay — Today!\n\nRecently, OpenAI, Google, Visa, and Coinbase all released their own agentic payment protocols. But while everyone’s racing to build the next payment rails, nobody’s building the _control_ layer: the foundation that actually gives you power over how your agents use these rails. **Locus is building exactly this.**\n\nLocus currently supports USDC on Base, with support for ACH and wire transfers coming soon. You can give your agents spending power and start building today.\n\n# Demo\n\nWe built a micro-task payment system where an agent evaluates work submissions, scores quality, and pays contributors automatically. You set rules like \"max $50 per payout, $500/day, must include a justification.\" The agent handles the rest. No manual approval needed, but you have full audit trails showing who got paid, when, and why.\\\nhttps://youtu.be/ICSzoZTq9JE\n\n# Join Us!\n\nIf you build agents, join our beta and help shape the future of agent-driven finance! Learn more and sign up at [paywithlocus.com](http://paywithlocus.com). We'll give you $10 in USDC to experiment with.\n\nWe’re also building a community of builders in the space and would love for you to join. If agents with spending power sound at all interesting to you, join here to stay in the loop: https://discord.gg/TGnjUceXwE\n\n# [https://youtu.be/6rntHGR475U\\\\](https://youtu.be/6rntHGR475U%5C)\n\n# Contact Us\n\nEmail [founders@paywithlocus.com](mailto:founders@paywithlocus.com), or find us on [LinkedIn](https://www.linkedin.com/company/paywithlocus/) or [X](https://x.com/PayWithLocus).\n\n**Cole Dermott:** [LinkedIn](https://www.linkedin.com/in/coledermott), or DM [@coledermo](https://x.com/coledermo) on X.\n\n**Eliot Lee:** [LinkedIn](https://www.linkedin.com/in/eliotlee3/), or DM [@eliotlee33](https://x.com/eliotlee33) on X.",
        "url": "https://www.ycombinator.com/launches/Oj6-locus-payment-infrastructure-for-ai-agents",
        "votes": 84,
        "created_at": "2025-10-31T16:24:24.218Z"
      }
    ]
  },
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    "id": 30861,
    "name": "Caddy",
    "slug": "caddy",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a18ef62feeed4267cb16429f2de1d3e6abbb159.png",
    "website": "https://caddy.app/",
    "all_locations": "New York City, NY, USA",
    "long_description": "If you’ve got a lot to do, we believe AI can make things feel doable. Caddy is our core product: a Personal AI that helps you stay on top of everything going on. All you have to do is text. \r\n\r\nOn overwhelming days, it’s super simple to just drop any task in a text thread, and Caddy will help you handle it. Caddy also keeps an eye on your calendars, chats and tasks to make sure you stay focused on what matters. If something needs you, Caddy will nudge you, or can just do it if you don’t have time. \r\n\r\nThe best part is, no two Caddys are alike. The more you use Caddy, the more it learns your vibe, how you work, and what you care about. ",
    "one_liner": "Your Personal AI for everyday work. Lives in your texts.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1761153567,
    "tags": [
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      "AI",
      "AI Assistant"
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    "tags_highlighted": [],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/caddy.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/try-caddy/",
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      "name": "Aaron Epstein",
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        "full_name": "Connor Waslo",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Caddy. Building the operating system that understands your workflows and gets work done for you. Previously led product for Loom's AI Suite and Monetization team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/connor-waslo/",
        "x_url": "https://x.com/ConnorWaslo",
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        "full_name": "Rajiv Sancheti",
        "title": "Founder/COO",
        "founder_bio": "Co-founder of Caddy. Building the operating system that understands your workflows and gets work done for you. Previously led design for Loom’s AI suite, and before that, worked at Airbnb and KP Fellows.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajivsancheti/",
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    "launches": [
      {
        "id": 95249,
        "title": "Caddy: The Voice Interface for Your Computer",
        "tagline": "Changing how people work across their computer and apps with voice",
        "body": "Hey everyone, we’re [Connor](https://www.linkedin.com/in/connor-waslo/) and [Rajiv](https://www.linkedin.com/in/rajivsancheti/).\n\nWe led Loom’s AI suite and saw firsthand how natural language was changing how people work. Now we’re building Caddy, the voice interface for your computer that lets you automate work across all your apps.\n\nJoin the waitlist at [trycaddy.ai](http://trycaddy.ai)\n\n**Launch video:** https://www.youtube.com/watch?v=v1HwM9mBYHU\n\n### **The problem**\n\nWork today happens across a maze of apps. Slack for messaging. Linear for tickets. Gmail for communication. Calendar for scheduling. Every task requires jumping between tabs and tools.\n\nEven with AI everywhere, we are still using the same old interfaces. Voice assistants like Siri or Alexa can answer trivia but cannot do real work. They do not understand what is on your screen, what app you are in, or what you mean when you say “follow up on this.”\n\nThe result is constant context switching, lost flow, and hours wasted on work that should happen automatically.\n\n### **What we are building**\n\nCaddy lives on your desktop and lets you operate your computer with your voice. It has two simple modes.\n\n**Action mode:** You speak your intent, and Caddy takes action.\n\nAsk Caddy to create a ticket in Linear, send a message in Slack, or schedule a meeting in Calendar. Caddy sees what is on your screen and connects it to your apps, so you can stay focused on the work that matters.\n\n**Dictation mode:** Never type again\n\nWrite emails, respond to messages, or leave comments anywhere text input exists. It is a direct replacement for typing that works globally across your computer.\n\nTogether, these two modes let you automate work and control your computer completely with your voice.\n\n![uploaded image](/media/?type=post&id=95249&key=user_uploads/2945950/d99dbe1c-8793-4405-a7ca-568f05c831fd)\n\n### **Who Caddy is for**\n\nWe are starting with founders, operators, productivity power users and the voice first generation who spend their days moving between tools and losing time to repetitive work. If that sounds like you, we would love to get you early access.\n\nTo join our waitlist add your email at [trycaddy.ai](http://trycaddy.ai) or shoot us a message [founders@trycaddy.ai](mailto:founders@trycaddy.ai)\n\n### **The team**\n\nBefore starting Caddy, [Connor](https://www.linkedin.com/in/connor-waslo/) and [Rajiv](https://www.linkedin.com/in/rajivsancheti/) spent four years at Loom where they led product and design for Loom’s AI suite and core product.",
        "url": "https://www.ycombinator.com/launches/OmH-caddy-the-voice-interface-for-your-computer",
        "votes": 149,
        "created_at": "2025-11-06T16:34:46.562Z"
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  },
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    "id": 30862,
    "name": "Sorce",
    "slug": "sorce",
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    "website": "https://sorce.jobs",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tinder for Jobs. Swipe right, AI applies on your behalf.",
    "one_liner": "Tinder for jobs",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1759034914,
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      "Consumer",
      "Recruiting",
      "AI"
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    "tags_highlighted": [],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sorce",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sorce.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sorcejobs/",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1252829,
        "full_name": "Oluwapelumi Dada",
        "title": "Founder/CEO",
        "founder_bio": "working on sorce; prev. tesla, dell",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/oldada",
        "x_url": "https://x.com/marvy_101",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05c45cc90eb3cfa083aca07334ee16d3ce416839.jpg"
      },
      {
        "user_id": 1327956,
        "full_name": "Daniel Ajayi",
        "title": "Founder/CTO",
        "founder_bio": "22 | cto @sorcejobs | mit cs '25 | prev citadel securities & nvidia",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dan-ajayi/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f95f7110ebf60269f33b9d4fef660732a23ae94c.jpg"
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      {
        "user_id": 1969562,
        "full_name": "David Alade",
        "title": "Founder/COO",
        "founder_bio": "Northeastern '25, prev JPMC, network science institute",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-alade/",
        "x_url": "https://x.com/davidaladee",
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      {
        "id": 94395,
        "title": "Sorce -  Tinder for Jobs (AI Applies for you)",
        "tagline": " Swipe right, and AI will apply on your behalf on the company’s website.",
        "body": "https://www.youtube.com/watch?v=R4bsj0JUakQ\n\nHey friends!\\\n\\\nSorce is like Tinder, but for jobs. When you swipe right, our AI agent applies on your behalf on the company's website. It writes cover letters too.\n\nIf you know anyone currently looking for a role, you know it’s really tough. Entering the same information repeatedly on various websites is tedious, and candidates hate it.\n\nA CS student looking for an internship applies to 100-200 openings. In this current job climate, people are applying to even more. Imagine filling out your name and why you want to work at XYZ Company 100 times.\n\nSo far, people like using Sorce. We just crossed 20M swipes and have helped 1000+ people land jobs.\n\nOur users have gotten interviews/offers through Sorce at companies like:\n\nFigma, Ramp, Kleiner Perkins, OpenAI, Lucid Motors, Humane, Twitch (S07), DoorDash (S13), Instacart (S12), Coinbase (S12), Scale AI (S16), Deel (W19), Webflow (S13), Amplitude (W12), Postman, Anduril, Flexport (W14), Mercury, Windsurf, Groq, MoniePoint and many more!\n\n[Download our app here.](http://sorce.jobs/download)\n\n**How you can help us:** Send this to your friend/family member looking for new roles\n\n_or_\n\nif you’re a company that’s hiring, please schedule some time [here](https://cal.com/marvy101/hiring) to tell us about the problems you currently face with hiring. We want to learn as much as we can!\n\n\\\na slice from our [wall of love](https://www.sorce.jobs/love):\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/b4ccd992-f239-4ad9-a2ab-a3c60834eec5)\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/c9c2460a-02a0-4668-babb-1f1e08d96f6e)\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/6f92868d-49b1-4541-ab1b-f65a1d9f5d30)\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/faba1fe7-533a-457c-8702-c8986cefb764)\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/f5f90c4b-e1cb-4f24-9c83-95d0f72b2c73)\n\n",
        "url": "https://www.ycombinator.com/launches/OYV-sorce-tinder-for-jobs-ai-applies-for-you",
        "votes": 27,
        "created_at": "2025-10-06T05:30:09.110Z"
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    "id": 30863,
    "name": "The Context Company",
    "slug": "the-context-company",
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    "website": "https://www.thecontextcompany.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We analyze every conversation between your customers and your AI agent to find what's losing you customers and money. Then we help ship the fix and prove it worked.\r\n\r\nNobody on the team can read every conversation once an agent is in production. TCC does, and turns them into patterns tied to the accounts they affect: where customers get stuck, what they wish the agent could do, and where it's spending more than it needs to.\r\n\r\nEngineers ask about a pattern from their IDE through our MCP, get the conversations and traces behind it down to the tool call or prompt that went wrong, ship the fix, and benchmark cost and quality before and after. Product sees what customers are actually trying to do with the agent and where it falls short, broken out by topic and account, which becomes the backlog for what to build next. Customer success sees which accounts the agent is struggling with before the customer says anything, and steps in with the full conversation on hand.\r\n\r\nAny agent framework, a few lines of code. If you're running an agent in production or about to launch, ping us.",
    "one_liner": "Find what's losing you customers and money in your AI agent and fix it",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1759953898,
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      "Developer Tools",
      "B2B",
      "Analytics",
      "Monitoring",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/the-context-company/",
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      "name": "Nicolas Dessaigne",
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        "user_id": 2357695,
        "full_name": "Arman Kumaraswamy",
        "title": "Founder",
        "founder_bio": "Cofounder at The Context Company (Monitoring for AI agents)\n\nI've been in love with startups since I was in high school :)\n\nPrev studied CS+Math at UF, and engineered at Mintlify, Apten, RevisionDojo, and Solace Health",
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        "linkedin_url": "https://www.linkedin.com/in/armankumaraswamy/",
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        "user_id": 2579624,
        "full_name": "Rohil Agarwal",
        "title": "Founder",
        "founder_bio": "What is up! Previously studied EECS + Business at UC Berkeley M.E.T. and worked on Gmail Intelligence at Google, where I built models powering intent detection for 26B+ daily emails.\n\nNow building The Context Company, where we are powering developers to ship AI agents they can trust. I'm excited about solving context engineering 🙃\n\nOh, and I take one selfie every day!",
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        "title": "The Context Company - Catch Silent AI Failures Before They Break Production",
        "tagline": "Full observability for AI agents, from bad tool calls, loops, and hallucinations to latency and cost, in 10 lines of code.",
        "body": "What is up! We’re [Arman](https://www.linkedin.com/in/armankumaraswamy/) and [Rohil](https://www.linkedin.com/in/rohil-ag/) - cofounders of [The Context Company](https://thecontextcompany.com)\n\n**TL;DR**\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/129e5656-94c6-42e6-a2ba-6ac545b0ef94)\n\nSetup takes under 10 lines of code, and we now support Vercel AI SDK, LangChain, and LangGraph, with more frameworks coming fast.\n\n**Our Ask**\n\n* If you’re building with Vercel AI SDK, LangChain, or LangGraph, use The Context Company for observability.\n* Setup takes just a few lines - DM us on Bookface or Slack, or email [founders@thecontextcompany.com](https://mailto:founders@thecontextcompany.com), and we’ll personally onboard you in 15 minutes.\n* Not using those frameworks yet? Tell us what you’re building with, and we’ll add support fast.\n\n<https://youtu.be/5FVesVO9egg>\n\n**The Problem**\n\nAI agents often fail quietly. Traditional observability tools only show latency or stack traces. They miss the silent layer of failures that happen inside reasoning steps or tool calls.\n\nMost teams end up waiting until users report issues, and by then, it’s already too late. As a developer, I know you’ve been there scrolling through endless logs, trying to piece together what an agent actually did and why it failed (because trust us, we have too 🙏🏽).\n\n**We’re rethinking observability from the ground up and making silent failures a first-class primitive in agent monitoring.**\n\n\\*\\*Our Solution:\\*\\*\\\nInstead of just visualizing traces, we analyze them and detect reasoning breakdowns across runs. In addition to traditional metrics like latency, cost, and token usage, The Context Company surfaces failures in a clean, developer-friendly dashboard.\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/861e36d0-5a8b-4555-a738-e2489729f99f)\n\nAnd we’ve gone beyond the cloud:\n\nYou can now run our developer package locally to debug traces on your machine, even when you’re offline or iterating fast.\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/b7722f3f-a018-4c46-806c-7ef4be35bd44)\n\n**Our Progress**\n\n* Framework support: Vercel AI SDK, LangChain, and LangGraph.\n* Instant setup: &lt;10 lines of code - no refactoring or modifying your agent needed. This is what it looks like:\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/560baa96-5818-4d20-bf82-43f2d3775ca3)\n\n* Local debugging: Run observability locally on your laptop for real-time trace analysis.\n* Dashboards: Full visibility into agent runs, tool calls, latency, costs, and semantic failures.\n\n**The Team**\\\nArman and Rohil have been best friends since 6th grade (8+ years now!). \n\nArman optimized the public-facing AI agent at Mintlify, where he cut failure rates by 82%, and worked with enterprise design partners to build custom agents. Rohil worked on Gmail Intelligence at Google, reducing hallucinations in intent detection by 27% across 26B+ daily emails. \n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/70e7935c-7606-4e8f-a7af-4ebf44cf5514)\n\nhttps://www.thecontextcompany.com\n\nP.S. Even if you’re not using AI SDK, LangChain, or LangGraph, we’re adding support for other frameworks soon. Tell us what you need 😎\\\n\\\n\\\nDashboard:\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/e9425baf-3e5f-4098-b64f-497a74232f5a)\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/ece01a4a-5089-46dd-a12a-eeef441f5cd3)\n\n",
        "url": "https://www.ycombinator.com/launches/OhP-the-context-company-catch-silent-ai-failures-before-they-break-production",
        "votes": 34,
        "created_at": "2025-10-27T21:36:21.070Z"
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    "id": 30864,
    "name": "dari.dev",
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    "long_description": "We let developers run more agents while keeping your token bill low. We train custom models to determine how we can maintain performance while reducing your token bill. \r\n\r\nIntegrate into your own apps, or use our router with Claude Code, Codex, or any agent of your choice. ",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usedari/",
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      "name": "Harj Taggar",
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        "user_id": 870512,
        "full_name": "Avyay Varadarajan",
        "title": "Founder/CEO",
        "founder_bio": "Building dari.dev. Previously CS @ Caltech, SWE @ Uber, ML @ Lakers, startups. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/avyayv/",
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        "user_id": 2528047,
        "full_name": "Benjamin Hong",
        "title": "Founder/CTO",
        "founder_bio": "Building dari.dev",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/benjaminyhong/",
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      {
        "id": 101252,
        "title": "dari.dev - The easiest way to deploy your agents to production",
        "tagline": "Get a versioned, stateful API for your long-running agent in 5 minutes",
        "body": "Point our CLI at your agent project, run `dari deploy`and get a production-ready agent API.\n\n<https://youtu.be/Y6CdktXcF24>\n\n## What it is\n\n[dari.dev](http://dari.dev) turns an agent project into a **versioned, stateful API endpoint**. We’re building on top of the best open-source harnesses starting with **Pi**. Support coming soon for **Hermes** Agent. Book a call to deploy your proprietary harness.\n\n### How it works:\n\n* Drop a dari.yml + tools + skills at your repo root\n* “dari deploy .” uploads a snapshot and publishes a new version behind a stable agent URL\n* Clients open a **durable session** and stream multimodal events (text, files, images)\n* The platform runs the harness, spins up a sandbox workspace per session, and handles logs, retries, and credentials\n* New publishes create new versions. In-flight sessions stay pinned to the version they started on\n\n## The problem:\n\nIf you're building an agent right now, you're probably:\n\n* Stitching together durable execution + a sandbox provider + Postgres + a secret store yourself\n* Losing state when a turn crashes mid-execution\n* Shipping “agents” that can’t survive a 30-minute task\n* Rebuilding the same infra (auth, retries, workspace, logs) on every project\n\nMost agents break mid-task.\n\n## With [dari.dev](http://dari.dev):\n\n* **Durable sessions:** Long-running tasks survive crashes, restarts, and redeploys. Resume from the same session_id days/months/years later.\n* **Versioned deploys:** Every publish is a new version behind one stable URL. Roll forward without breaking live sessions.\n* **Bring your own sandbox:** Sandboxes run under your provider account and API key. You control limits and data. E2B today, Daytona / Blaxel / Modal coming soon.\n* **BYOK with OpenRouter / any OpenAI-compatible API endpoint:** Use your own key, pick your model, control spend, keep logs.\n* **Custom tools**: Drop Python or TypeScript tools under tools/&lt;name&gt;/. We run them with retry policies you define.\n\n**The API:**\n\nPublish once. Then, create a session and send messages + stream responses.\n\nWe provide full observability, session-level event logs, per-turn state, and workspace file outputs attached to the session lifecycle.\n\n## Why we built this\n\nWe started building browser automation agents and kept hitting the same missing primitive, a durable control plane underneath.\n\nWe built it for ourselves, then realized every other team shipping agents (coding, research, ops) is rebuilding the same layer.\n\nIf you’ve wired together durable execution + a sandbox provider + Postgres + a secret store just to run one agent in prod, this is for you.\n\n## Get access\n\n* App: [app.dari.dev](http://app.dari.dev), docs: [docs.dari.dev](http://docs.dari.dev)\n* Install the CLI, run `dari auth login`then publish from your repo\n* Pricing: Either you pay your providers directly (E2B + OpenRouter/OpenAI) or use our managed Anthropic/OpenAI/OpenRouter offerings. No markup from us initially.\n\nBook a call: calendly.com/avyay-dari/30min or email me at [avyay@dari.dev](mailto:avyay@dari.dev).",
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        "votes": 4,
        "created_at": "2026-05-12T22:10:48.140Z"
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        "id": 94481,
        "title": "Dari - The easiest way to build reliable browser use agents",
        "tagline": "Build browser agents that can cache workflow steps and handle two-factor authentication. ",
        "body": "Hey everyone,\n\nWe’re [Ben](https://www.linkedin.com/in/benjaminyhong/) and [Avyay](https://www.linkedin.com/in/avyayv/), the cofounders of [Dari](https://www.usedari.com)!\n\n**Tl;dr**\n\nhttps://youtu.be/qE8wWHLhcv0\n\nWe've built the first browser automation platform reliable enough for production. While other agents fail on repetitive tasks, Dari caches successful workflows and handles 2FA automatically, making browser automation actually work for real businesses.\n\n![uploaded image](/media/?type=post&id=94481&key=user_uploads/870512/3189ec11-b583-4b3e-94a8-a489ace5f2a0)\n\n❌ **The Problem** / ✅ **Our Value**\n\nRunning regular browser use agents as-is has limited viability for repetitive tasks. They're too slow, too expensive, and too unreliable. And forget about authenticated sites: most agents can't handle 2FA at all.\n\nDari is different. We're purpose-built for production use, combining intelligent caching with automatic 2FA handling so your automations actually run reliably, day after day.\n\n![uploaded image](/media/?type=post&id=94481&key=user_uploads/870512/3282af1a-0e2b-4e5b-a6ef-24962de4c65e)\n\n**💪 Our 3 Core Strengths**\n\n**1. 🔒 2FA That Actually Works: Automate Authenticated Workflows**\n\n* **Universal 2FA support:** Automatically handles text message codes, TOTP authenticators, and email verification.\n\n**2. ⚡ Intelligent Caching: Fast and Reliable**\n\n* **Run once, cache forever:** After running a workflow with an LLM once, Dari can replay the workflow using deterministic DOM steps\n* **Fallback intelligence:** If a site changes, Dari automatically detects it, adapts, then caches the new path\n* **Why other agents fail:** Regular browser-use agents call LLMs on every single run. Dari only uses AI when needed.\n\n**3. 🧩 Built for Developers: Real Integration, Not Toys**\n\n* **Chat-to-automation:** Describe your workflow in plain English and get a working automation in seconds.\n* **API-first triggers:** Start workflows via POST request, integrate directly into your stack.\n* **Webhook & Wait:** Call your backend mid-workflow, run custom code, and continue the automation seamlessly.\n\n**💥 Real Impact**\n\n* A voice AI company automated data entry and form filling tasks, saving 10+ hours per week.\n\n**🧑‍💻🧑‍💻 How we got here**\n\nWe’re two Caltech CS grads who have previously worked on software at Amazon and Uber. \n\nWe’ve been building with browser use agents since the initial model releases and were constantly frustrated by how unreliable they were for production use-cases. We built Dari to fix the problems we’ve noticed since the start. \n\n**🎉 Get Started**\n\nSign up or schedule a demo at [usedari.com](http://usedari.com) or contact us at [founders@usedari.com](mailto:founders@usedari.com). ",
        "url": "https://www.ycombinator.com/launches/OZt-dari-the-easiest-way-to-build-reliable-browser-use-agents",
        "votes": 21,
        "created_at": "2025-10-08T16:09:36.103Z"
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    "id": 30865,
    "name": "Lunavo",
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    "website": "https://lunavo.ai",
    "all_locations": "BY, Germany",
    "long_description": "We build AI that runs carrier operations.\r\n\r\nLunavo is the AI assistant for carriers. It plugs directly into their existing toolstack, understands their processes, and monitors all incoming data and requests. Lunavo runs end-to-end backoffice operations, handling repetitive tasks, resolving issues autonomously, and escalating only what matters.\r\n\r\nLunavo helps carriers scale operations without scaling headcount.",
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        "full_name": "Felix Lösch",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Lunavo | Building AI that runs carrier operations\n\nEx-McKinsey and former Managing Director at a Series A robotics logistics startup, where he scaled commercial and operations functions.",
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      {
        "user_id": 2331002,
        "full_name": "Niclas Heun",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ Lunavo | Building AI that runs carrier operations.\n\nHe studied CS at the Technical University of Munich and the University of Waterloo, graduating top of his class. He previously worked as an AI researcher on model robustness and led teams developing AI for shop-floor operations for Siemens.",
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      {
        "id": 95229,
        "title": "Lunavo - The AI assistant for trucking carrier operations",
        "tagline": "AI that runs your backoffice - so your team can run logistics.",
        "body": "Hi everyone, we’re Niclas and Felix, and we’re launching Lunavo!\n\n**TLDR:**\n\nLunavo is the AI assistant that automates the backoffice of trucking carriers so teams can focus on customers and growth.\n\n_Launch Video:_\n\nhttps://youtu.be/fKWHgdt8hv0 \n\n**The problem:**\n\nTrucking carriers coordinate complex operations to transport goods from A to B , but they spend most of their time on repetitive admin work like entering orders, updating portals, and checking systems. Most communication is still handled manually.\n\nThis creates two problems. First, teams waste hours on busywork instead of managing operations. Second, the noise makes it nearly impossible to spot issues that need attention until it's too late. A delayed pickup, missing document, or customer escalation only gets noticed when it's already urgent.\n\nThe real complexity isn't in data entry. It's in catching and resolving issues early: rerouting around delays, finding backup capacity, flagging exceptions before they cascade. Carriers need visibility and time to handle what matters, not endless manual updates.\n\nWe sat with dispatchers managing hundreds of shipments a day and saw their inbox and phone effectively act as their task managers.\n\n·   Many handle between 50 and 100 emails per hour, and most of them are repetitive.\n\n·   Teams constantly pull data from emails, PDFs, and portals into their Transport Management System (TMS).\n\n·   They often jump between ten or more tools that don't communicate properly with each other.\n\nCompanies end up paying skilled employees to move data between tools instead of running logistics\n\n**Our solution:**\n\nLunavo integrates into a carrier's existing systems as an AI teammate. When a new order arrives, it automatically extracts details, updates the TMS, and confirms with the customer. Dispatchers see: \"New order from Customer X confirmed and scheduled.\"\n\n**The system handles routine work while monitoring for exceptions** like delayed pickups, missing documents, or customer escalations, surfacing issues before they become urgent. It understands task dependencies and escalates only what needs human judgment.\n\nBecause logistics workflows often depend on implicit knowledge, our system can understand customer workflows and adapt to it. Our agents self-improve through dispatcher feedback, company documentation, and user-defined rules, automatically adapting to each customer's unique requirements without manual reconfiguration.\n\nLunavo manages to understand incoming documents, extract relevant information, challenges the inputs on plausibility and integrates them into the TMS. In case of anomalies, the system loops in the dispatcher:\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/607a54fb-83cd-423d-8c36-312523817e4b)\n\n**_Before Lunavo_**_:_ A driver is delayed. The dispatcher has to (1) log into the GPS portal, (2) inform the customer with an update, (3) manually update the TMS, and (4) update the customer's portal for delivery time. This takes up to 15 minutes of work.\n\n**_With Lunavo:_** Lunavo detects the truck's GPS delay. It _automatically_ emails the customer, updates their portal, and sends a single notification to the dispatcher to keep him in the loop: \"Driver 5 is delayed 30m. Customer X has been notified. No action needed.\"\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/bdb58f1b-2c10-4e29-b485-d64718f81c6f)\n\nLunavo helps trucking companies scale operations without scaling headcount.\n\n**About us:**\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/531e2a61-c332-4ee9-ae0a-520a28e47341)\n\nWe're Felix and Niclas, founders of Lunavo. Together, we've spent the past years at the intersection of logistics and AI.\n\n·   **Felix** worked with logistics and supply chain companies at McKinsey and later built a robotics logistics company in Germany, spending five years deeply embedded in the industry.\n\n·   **Niclas** studied Computer Science at the Technical University of Munich and the University of Waterloo, focusing on AI security and applied machine learning\n\n**Our ask:**\n\nIf you work in logistics or know someone running operations in road transportation, we would love to connect.\n\nYou can reach us at felix.loesch@lunavo.ai or visit [www.lunavo.ai](http://www.lunavo.ai).",
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        "votes": 23,
        "created_at": "2025-11-05T22:21:16.901Z"
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    "id": 30867,
    "name": "Soren",
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    "website": "https://soren-ai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Soren is an AI-native engineering firm that helps traditional businesses put AI to work.\r\n\r\nWe combine world-class engineering talent with AI-powered delivery to modernize legacy systems, build intelligent software, and solve complex business problems.\r\n\r\nBy pairing human expertise and judgment with the speed and efficiency of AI, we deliver better technology, faster and at a fraction of the cost of traditional engineering firms.\r\n",
    "one_liner": "The AI Transformation Company",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759390917,
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    "year_founded": 2025,
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    "country": "US",
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        "full_name": "Kevin Xie",
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    "long_description": "An AI-run performance marketing agency. We deploy autonomous agents on a fleet of real mobile phones that create, post, and grow content across YouTube, TikTok, Instagram, X, Reddit and more operating hundreds of accounts in parallel, indistinguishable from human creators. Brands hire us the way they'd hire a growth agency, but instead of a team of marketers we run the entire pipeline autonomously: ideation, video production, posting, engagement, and audience building. We get paid on revenue share, so our incentives are aligned with our partners' growth. Our first partnership is revenue sharing with a telehealth clinic, where we're driving patient acquisition across dozens of channels we built and operate end-to-end.",
    "one_liner": "AI agents on real phones, growing brands across every platform.",
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    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
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        "full_name": "Austin Stone",
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        "full_name": "Cayden Liao",
        "title": "Founder",
        "founder_bio": "I've previously done work in the Web3 security space writing fuzzers for crypto and zero knowledge protocols. NCAA varsity swimmer and part of the #1 CTF (competitive hacking) team in the US. Prevented the largest hack in crypto history $94B.",
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        "full_name": "Jayden Sarveshkumar",
        "title": "Founder",
        "founder_bio": "working on the future of security @ Veria Labs. web hacking @ .;,;. (#1 US competitive hacking team). ",
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        "full_name": "Stephen Xu",
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        "founder_bio": "CEO & Co-Founder @ Veria Labs\n\nPreviously doing Offensive Security @ TikTok, and play on the #1 CTF (competitive hacking) team in the US. Also used to do computational physics research at some point.",
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        "id": 94260,
        "title": "Veria Labs: AI agents that pentest your code continuously",
        "tagline": "Automated penetration testing for modern development teams",
        "body": "👋Hi all, we’re Stephen, Cayden and Jayden from [Veria Labs](https://verialabs.com)!\n\n## TL;DR\n\n* Most companies pentest only 1-2x per year, but high-performing teams deploy multiple times per day \n* We're building AI agents that continuously find vulnerabilities in your application\n* **Our ask:** If you're at a fintech, healthcare, or crypto company that wants to be secure while moving fast, let’s talk: <https://verialabs.com/contact>\n\n---\n\n## The Problem\n\nYou ship code constantly. You test for security once a year, if at all.\n\nThis isn't a startup problem. It's structural. PCI DSS mandates annual pentests. HIPAA requires regular security assessments. Crypto projects get audited before launch. But after that initial test, your codebase evolves, you add features, you refactor, and there's no continuous security validation.\n\nTraditional pentesting is **fundamentally broken** for modern development:\n\n**It's too slow.** Results take weeks to deliver. By the time you get the report, your codebase has changed 50+ times.\n\n**It's too expensive.** $15,000-$30,000+ per engagement. You can't afford to test continuously at these prices, but you also can't afford _not_ to be secure.\n\n**It has terrible coverage.** Pentesters scope to 5-10 application features because that's all they can audit in two weeks. The rest of your codebase gets ignored. Your background jobs, admin panels, internal APIs are all potential attack vectors that never get looked at.\n\n**It's too shallow.** Even within their limited scope, human pentesters are constrained by time. They get 5-10 days, bill $250-300/hour, and move on to the next client. They find the obvious vulnerabilities: SQL injection, XSS, broken auth. But complex, multi-step exploits that require deep exploration of your business logic get missed because there's simply not enough time.\n\nMeanwhile, 1 in 5 companies don't test their software for security vulnerabilities at all.\n\n## Our Solution\n\nWe're building AI agents that run continuously on your codebase and send you actionable results every Monday morning.\n\n**Why we're different from traditional pentesting:**\n\nOur agents aren't constrained by human hours or budgets. We can test exhaustively: every code path, every edge case, every possible attack chain. We're not just faster and cheaper. We find more bugs.\n\n**Why we're different from SAST tools (Semgrep, Snyk):**\n\nStatic analysis tools flag potential issues but can't exploit them. Our LLM-based agents:\n\n* Actually exploit vulnerabilities to prove they're real (no false positives)\n* Understand and adapts to your business logic and data flows\n* Learn your codebase architecture and conventions, which means dramatically fewer false positives\n* Chain together low-severity findings into high-impact exploits\n\n## About Us\n\nWe're members of the [#1 competitive hacking (CTF) team](https://ctf.gg/contests) in the United States.\n\nBetween us, we've found critical vulnerabilities in AI tools, operating systems, fintech apps, and billion-dollar crypto exchanges. The future of security testing is automated, and we're building it.\n\n## What We’re Looking For\n\nIf you:\n\n* Deploy code daily but test for security sporadically (or never)\n* Are spending $30K+ per year on pentests that are outdated within weeks\n* Need continuous security without hiring an entire red team\n* Want to find complex vulnerabilities before attackers do\n\nLet's talk: <https://verialabs.com/contact>\n\nWe're especially interested in working with **fintech, healthcare, and crypto companies** (where the stakes are highest), but if you're facing similar challenges in other industries, we'd love to hear from you too.\n\n![uploaded image](/media/?type=post&id=94260&key=user_uploads/2411026/8021be6a-59f2-4d9c-9c43-ec32d957299e)\n\n",
        "url": "https://www.ycombinator.com/launches/OWK-veria-labs-ai-agents-that-pentest-your-code-continuously",
        "votes": 16,
        "created_at": "2025-10-01T13:55:13.126Z"
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        "full_name": "Benjamin Muñoz-Cerro",
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    "name": "Trelium",
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        "full_name": "Abhimanyu Yadav",
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        "full_name": "Ritanshu Dokania",
        "title": "Founder/CTO",
        "founder_bio": "Trelium lets teams describe workflows in English and deploys agents to run them. Any app, any logic, any automation, built in under 7 minutes, runs forever.",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/trelium/jobs/UBebsyO-founding-engineer",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
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      {
        "id": 121520,
        "title": "Paul by Trelium",
        "tagline": "An AI automation scout that finds repetitive work and shows your team what to automate.",
        "body": "Meet Paul, an agent built on Trelium to be our Lazy Champion and automation scout 🐧 His job is simple: figure out where your team could be doing less. \n<https://www.youtube.com/watch?v=sjyM_gIDmB0>\nOver the last year, we rebranded Questom to Trelium and evolved from building AI agents for B2B inbound sales into a platform where non-technical enterprise teams can build deterministic AI agents in simple English to automate back-office work across the tools they already use. Since then, we have been creating value for distributors, suppliers, and decorators across print, merch, and apparel by helping them automate work like order entry, purchase order creation, PO-invoice matching and a lot more.\n\nIn sales calls, we keep hearing the same thing: “We want to use AI, but we do not know what to automate.” The funny part is that figuring this out is still extremely manual. AI audits usually mean workshops, interviews, process maps, and asking people to remember all the repetitive things they do. But the work wasting the most time is often so routine that nobody even remembers to mention it.\n\nSo we thought, why not make Paul? Paul is an agent built on our own platform, and now he is available to everyone. Connect him to places like email and chat, and he watches how work actually moves across your team, spots repetitive processes, and tells you what is worth automating. He might notice someone doing the same tiny task 40 times a week because apparently copy-paste has become a job description. Instead of a giant consulting deck, Paul gives you the opportunity, the reasoning behind it, and a ready-made prompt to build that agent on Trelium.\n\nWe have been using Paul on ourselves too, and unfortunately he keeps finding things. The idea is simple: spend less time talking about “adopting AI” and more time removing work nobody wanted to do in the first place. Paul has mastered laziness. We are trying to catch up. 🐧\n\n[trelium.com/PaulThePenguin](http://trelium.com/PaulThePenguin)\n",
        "url": "https://www.ycombinator.com/launches/Vc0-paul-by-trelium",
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        "created_at": "2026-10-11T22:23:55.414Z"
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      {
        "id": 95375,
        "title": "Questom: AI Agents for B2B Inbound Sales",
        "tagline": "We build AI agents that answer inbound calls, emails, and chats for B2B companies, collecting requirements, quoting orders, sending updates, and turning conversations into revenue.",
        "body": "Hey everyone, Ritanshu and Abhimanyu here from Questom.\n\nWe’re building **AI agents that handle the everyday conversations B2B companies rely on to sell.**\\\n\\\n[**Questom: AI Agents for Sales**](https://youtu.be/EkodDghaQ4A)\n\n## **TL;DR**\n\nMost B2B revenue still runs through **phone calls and emails**, not websites.\n\nTeams struggle to:\n\n* answer every inquiry\n* follow up consistently\n* collect details cleanly\n* apply the right catalog + pricing rules\n* generate accurate quotes\n* and keep customers updated\n\nQuestom trains **AI sales agents** that do all of this automatically, using your workflows, your rules, your language, and your systems.\n\nOur agents live directly inside the communication channels B2B teams already use:\n\n**📞 Phone • 📧 Email • 💬 Chat • 📱 SMS**\n\nThey handle inbound conversations end-to-end and hand off to humans only when needed.\n\n# **🚨 The Problem**\n\nAcross wholesalers, distributors, field-service companies, custom-order shops, foodservice, industrial supply, packaging, labels, and more — the story is the same:\n\n**Revenue depends on conversations.**\n\nEvery day teams handle:\n\n• “Can you do this?”\n\n• “How much will it cost?”\n\n• “Can I get it by Friday?”\n\n• “Where’s my order?”\n\n• “Can I change something?”\n\nBut these companies run lean.\n\nSales, operations, and customer service are often the _same people_ juggling:\n\n* quoting\n* re-quotes\n* customer updates\n* scheduling\n* inventory/lead-time questions\n* supplier coordination\n* repeat jobs\n* production constraints\n\nWhen things get busy, response times slip, inboxes pile up, and high-intent buyers quietly move on.\n\nThis creates:\n\n* Missed revenue\n* Burnt-out teams\n* Customers who don’t come back\n* An invisible tax on growth\n\nPeople think “chatbots” solve this, but bots don’t understand:\n\n* catalogs\n* pricing rules\n* discounts\n* exceptions\n* minimums\n* production timelines\n\nB2B sales is _not_ FAQ automation.\n\nIt’s conversational problem-solving.\n\n# **💡 The Solution**\n\n**Questom builds AI sales agents that run your inbound sales process.**\n\nThey learn:\n\n* your catalog\n* your pricing\n* your discounts & exceptions\n* your constraints\n* your approval flows\n* your lead times\n* your edge cases\n* your CRM/ERP logic\n\nThe agent:\n\n* answers instantly\n* asks the right questions\n* collects order requirements\n* applies your pricing logic\n* generates quotes and revisions\n* manages follow-ups\n* sends status updates\n* and pushes structured orders into your ERP/CRM\n\nWhen needed, the agent hand-offs to a human with full context, so nothing gets lost.\n\n### **Operational impact:**\n\n* Faster first responses\n* Fewer missed inquiries\n* More accurate quoting\n* More deals closed\n* Less repetitive messaging\n* Happier customers\n* Less load on your team\n\n# **⚡ Early Results**\n\nAcross our pilots with wholesalers, print companies, and multi-location brands:\n\n* Up to **50%** of inbound sales conversations fully automated\n* Meaningful **AOV lift** from smart upsells\n* Backlogs cleared within days\n* More quotes sent → more revenue captured\n* Teams finally able to focus on higher-value work\n\n# **👥 About Us**\n\n**Ritanshu** grew up in a 75-year-old wholesale business, worked at Google (Wing) and Tesla, and previously bootstrapped a SaaS product to $45K ARR.\n\n**Abhimanyu** spent 7 years in Applied ML Research at Apple working on conversational intelligence, with CS degrees from IIT Kanpur and Columbia.\n\nWe’re combining **deep B2B operational understanding** with **real applied ML** to solve one of the oldest, hardest problems in the industry:\n\n**turning everyday conversations into revenue automatically.**\n\n# **🤝 Our Ask**\n\nIf you know a B2B company that:\n\n* handles lots of inbound calls\n* quotes custom or configured orders\n* relies heavily on phone or email\n* struggles with response time\n* or is drowning in repetitive sales conversations\n\nWe’d love to talk.\n\n📩 [founders@questom.ai](mailto:founders@questom.ai)\n\n📅 [Book a meeting](https://cal.com/meetabhimanyu/investor-chat)\n\n![uploaded image](/media/?type=post&id=95375&key=user_uploads/89898/659e2fe4-f8b3-48cb-8421-7de00c3b637b)\n\n",
        "url": "https://www.ycombinator.com/launches/OoJ-questom-ai-agents-for-b2b-inbound-sales",
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        "created_at": "2025-11-10T19:13:01.810Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cranston is AI tax prep and bookkeeping for CPA firms.\r\n\r\nOur tax agents prepare returns the way a strong staff accountant would: they read the source documents, work the return in your tax software, and hand your reviewer a return that holds up, with workpapers attached. Our bookkeeping agents keep client books current all year, so tax season starts from clean numbers instead of cleanup.\r\n\r\nPrep and books are the start. We're building Cranston into the system a firm runs on: the place where prep, review, client requests, and the rest of the practice get done.",
    "one_liner": "AI Tax prep and accounting software for CPA firms",
    "team_size": 2,
    "industry": "B2B",
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        "full_name": "Max Minsker",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder of Cranston AI. Previously owned a tax practice that filed 10,000+ tax returns. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/max-minsker",
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        "full_name": "Sean O'Bannon",
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        "founder_bio": "Founder at Cranston AI (F25). Prev Stanford CS + AI, Founder + CTO at ReMatter, ex Databricks",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sean-obannon",
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    "id": 30879,
    "name": "Hypercubic",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hypercubic is an AI-native platform for mainframe operations and modernization.\r\n\r\nWe help enterprises understand and modernize their mission-critical legacy systems. About 70% of the Fortune 500 companies still rely on them to run their core business applications in banking, insurance, telecom, airlines, retail, and more.\r\n\r\nThese systems, originally built in the 1960s–90s, still power trillions in global infrastructure today but have become increasingly opaque as original developers retire or leave the workforce. \r\n\r\nWe are pioneering a new class of intelligence capable of understanding, reasoning about, and rebuilding the world’s foundational infrastructure.\r\n\r\nLearn more at hypercubic.ai",
    "one_liner": "Agentic AI for Mainframe Operations and Modernization",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1758931979,
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    "city": "San Francisco",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 317991,
        "full_name": "Sai Gurrapu",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder/CEO @ Hypercubic | ex-Apple MLE | Z Fellow | 18x Hackathon Winner\n\n- Previously worked on multi-modal ML algorithms for the iPhone hardware at Apple, shipped work on 200M+ devices.\n- Serial hacker and builder (18x hackathon winner, Stanford TreeHacks 3x (all grand prizes), PennApps 2x, HackUVA 2x, HackMIT, HackPrinceton and more)\n- Published NLP research at IEEE and AAAI. \n- Bootstrapped a SWE interview preparation platform and scaled it to a 6 figure ARR business.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/saig18",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b35131881a6516e975582243c6085930ca3cb24.jpg"
      },
      {
        "user_id": 1931283,
        "full_name": "Aayush Naik",
        "title": "Founder/CTO",
        "founder_bio": "CTO & Co-Founder @ Hypercubic | Ex-Apple Engineer | Extraordinary Alien | Robotics & AI",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aayn/",
        "x_url": "https://x.com/aayush_naik",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4e40250881c9516a6d816f175433e93f42b222b.jpg"
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    ],
    "jobs": [
      {
        "id": 87774,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/hypercubic/jobs/8uytDI0-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $300K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "COBOL",
          "Google Cloud",
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      {
        "id": 109282,
        "title": "Founding Enteprise Sales",
        "url": "https://www.ycombinator.com/companies/hypercubic/jobs/cUrnOWp-founding-enteprise-sales",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 0.50%",
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      {
        "id": 101267,
        "title": "Hopper - Agentic Development Environment for Mainframe/COBOL",
        "tagline": " It combines a real TN3270 terminal and an AI agent that can operate across z/OS workflows like COBOL, VSAM, and CICS.",
        "body": "**TL;DR:** We’re launching **Hopper**, an agentic development environment for IBM mainframes. It combines a real TN3270 terminal and an AI agent that can operate across z/OS workflows like COBOL, VSAM, and CICS.\n\nDownload it here: <https://www.hypercubic.ai/hopper>\n\nVideo walkthrough: <https://www.youtube.com/watch?v=q81L5DcfBvE>\n\nYou can also request access and immediately get a mainframe user account to try it.\n\n## **Problem**\n\n![uploaded image](/media/?type=post&id=101267&key=user_uploads/317991/43b88f08-689e-437f-9057-42a45c15eb56)\n\nMainframes still run a huge amount of critical infrastructure: banking, payments, insurance, airlines, government programs, logistics, and core enterprise operations.\n\nA lot of that software is written in COBOL and runs on IBM z/OS. These systems are reliable, secure, and deeply embedded into business operations, but the development environment looks nothing like modern software development.\n\nModern AI coding tools assume repos, files, shells, package managers, test runners, and CI pipelines.\n\nMainframe development is an entirely different computing paradigm.\n\nA simple COBOL change might require finding the right source member, checking copybooks, locating compile JCL, submitting a job, reading JES/SYSPRINT output, interpreting condition codes, patching fixed-width source, and resubmitting.\n\nMuch of this work is structured and repetitive, but today it still depends heavily on expert humans who know how to navigate the terminal, interpret output, and follow local conventions.\n\nA chatbot next to a terminal is not enough.\n\nFor AI to be useful here, the agent needs to operate inside the mainframe environment itself.\n\n## **Solution**\n\nToday we’re launching **Hopper**, an agentic development environment for mainframes.\n\nHopper combines three things:\n\n1. A real TN3270 terminal\n2. Mainframe-aware panels for datasets, members, jobs, and spool output\n3. An AI agent that can operate across z/OS workflows\n\nThe agent can navigate ISPF, inspect datasets, write and edit COBOL, generate and modify JCL, submit jobs, parse JES spool output, analyze return codes, query VSAM, interact with CICS, and explain failures.\n\n![uploaded image](/media/?type=post&id=101267&key=user_uploads/317991/2c056d32-2347-4dd9-9b53-697349527628)\n\n\n## **Why this matters**\n\nThe mainframe is not just a codebase. It is an operating environment with its own workflows, conventions, interfaces, and failure modes.\n\nMost AI coding tools treat legacy systems like static repositories. That misses a huge part of the real work.\n\nIn mainframe environments, the important context often lives across terminal screens, datasets, job output, copybooks, CICS regions, VSAM files, scheduler conventions, and decades of operational knowledge.\n\nHopper’s design principle is simple:\n\nPreserve the fidelity of the mainframe environment, but make it accessible to AI agents.\n\nOnce agents can safely operate inside the mainframe, new workflows become possible:\n\n* Faster job debugging\n* Automated documentation\n* Safer COBOL changes\n* Test generation\n* Migration planning\n\nWe think this is the missing layer between today’s AI coding tools and the mission-critical systems that still run much of the world.\n\n## **Who we are**\n\nWe’re Sai and Aayush, former Apple AIML engineers, and we’re building Hypercubic to bring AI-native maintenance and modernization infrastructure to mainframe and COBOL systems.\n\n### **🤝 What we’re looking for**\n\n* **Intros:** Connections to CIOs, CTOs, VPs of Engineering, or Heads of Modernization at Fortune 500 companies, particularly in banking, insurance, manufacturing and retail.\n* **Enterprises** running COBOL or mainframe workloads exploring modernization or knowledge retention.\n* **Systems integrators / consultancies** seeking AI-powered tooling for mainframe understanding and modernization.",
        "url": "https://www.ycombinator.com/launches/QLL-hopper-agentic-development-environment-for-mainframe-cobol",
        "votes": 4,
        "created_at": "2026-05-12T22:10:37.540Z"
      },
      {
        "id": 94926,
        "title": "Hypercubic – AI to maintain and modernize COBOL/Mainframes",
        "tagline": "Capture and preserve decades of institutional human expertise from your mainframe systems.",
        "body": "# **TLDR ⚡️**\n\nHypercubic helps Fortune 500s understand, preserve, and modernize their critical mainframe systems. These are the COBOL systems from the 1960s that still power banking, insurance, retail, airlines, government and more.\n\n# **Asks 🤝**\n\nWe’d love intros to:\n\n* CIOs, CTOs, VPs of Engineering, or Heads of Modernization at Fortune 500s, especially in banking, insurance, logistics, and airlines.\n* Any enterprise running COBOL or mainframe workloads.\n* Systems integrators or consultancies that work on mainframe maintenance or modernization.\n\n# **The Problem**\n\n**70% of the Fortune 500 enterprises still run on mainframes and COBOL originally built in the 1960s**. These systems run the global economy, yet they’ve become black boxes. The engineers who built and maintained these systems are retiring and what’s left behind is systems that are opaque, brittle, and nearly impossible to modify without risking production outages.\n\nThis institutional knowledge is a ticking time bomb:\n\n* **Vanishing Expertise:** The handful of engineers who understand the nuances of decades-old COBOL, JCL, and CICS systems are retiring or leaving.\n* **Failed Modernizations:** Without this deep expertise, modernization projects often fail, costing millions and creating brittle, unmaintainable systems.\n* **Inadequate Documentation:** Static, outdated documentation can't explain _why_ a system was built a certain way or how to debug a critical failure at 3 AM.\n\nCurrent \"AI for code\" tools analyze repositories, but they can't capture the unwritten rules, historical context, and architectural reasoning that lives only in the minds of the most senior engineers.\n\n**The result: trillion-dollar infrastructure with no surviving map or maintainers.**\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/40a1cc5c-9859-4df9-8dc4-50e9c7f9ab8f)\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/0ec58980-1b71-49bd-bdd7-6bd6fa926bc4)\n\n# **Our Solution**\n\n**Hypercubic is building an AI-native maintenance and modernization platform that learns how legacy mainframe systems _actually work_ — and captures the human reasoning behind them.**\n\nWe start with:\n\n* **HyperDocs**, which ingests complex COBOL, JCL, and PL/I codebases to generate accurate high-fidelity documentation, architecture diagrams, and dependency graphs — giving teams an instant, living map of their systems.\n* **HyperTwin**, which captures the institutional expertise of retiring engineers by observing their workflows, screen interactions, and verbal reasoning. It builds a _digital twin_ of the experts on how they debug, architect, and maintain these systems in practice.\n\nTogether, HyperDocs and HyperTwin form an institutional knowledge layer that links _code_, _systems_, and _human reasoning_ — **enabling the next phase: autonomous AI agents that can safely maintain and modernize critical mainframes end-to-end.**\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/d9b867b9-cb41-4152-bc37-4dd215405d92)\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/a4cebb8f-05e5-44b6-9e1b-9c932fdc7dbb)\n\n# **Why now?**\n\n**We’re at the tipping point of one of the largest knowledge transitions in human history.**\n\nFor decades, the systems that run our banks, airlines, and governments have quietly relied on a generation of engineers whose expertise lives only in their minds — and that generation is disappearing (baby boomer generation).\n\nAs the “silver tsunami” accelerates, **we’re watching trillions of dollars of institutional memory vanish line by line.** Every retirement is a lost encyclopedia. Every undocumented function is a forgotten decision that once held a company together.\n\nAt the same time, AI has finally evolved from pattern-matching to _reasoning_, giving us the tools to preserve and replicate that expertise before it’s gone.\n\n**For the first time, we can capture how systems think, not just how they run turning decades of fragile human memory into living, searchable intelligence.**\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/fd8874f2-b27c-4a7e-a8b9-a64325efe3d3)\n\n📩 You can reach us at [**team@hypercubic.ai**](mailto:team@hypercubic.ai) or learn more at [**www.hypercubic.ai**](http://www.hypercubic.ai)\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/b36ac655-321e-4b95-8907-3e3a6263ea2a)\n\n",
        "url": "https://www.ycombinator.com/launches/Oh4-hypercubic-ai-to-maintain-and-modernize-cobol-mainframes",
        "votes": 27,
        "created_at": "2025-10-28T14:17:21.889Z"
      }
    ]
  },
  {
    "id": 30880,
    "name": "Nessie",
    "slug": "nessie",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/400e4be5acfaa12735760bedcf4f0ad136f82137.png",
    "website": "https://nessielabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Knowledge work is being restructured by AI. Strategy happens in Claude. Research happens in ChatGPT. Building happens in Claude Code and Codex. Meetings get recorded, notes get written, agents run for hours and leave behind traces nobody reads. The people defining the next decade of work are already thinking with AI every day. But none of that thinking compounds. Every session starts from zero. The reasoning behind decisions, the context behind strategies, the evolution of ideas across hundreds of conversations - all of it evaporates.\r\n\r\nNessie is the infrastructure that makes it permanent. We auto-sync AI conversations and agent traces across every major provider - ChatGPT, Claude, Gemini, Perplexity, Claude Code, Codex, Cursor, OpenClaw, Hermes, and more - alongside meetings, notes, and email from tools like Granola, Read AI, Plaud, and Obsidian. Everything a team produces with AI flows into one place and compounds over time.\r\n\r\nNessie turns that raw, heterogeneous data into an ontology: the live state of a company. Not a static schema but a continuously updated record of what the company knows, what it has decided, who owns what, and how its thinking has evolved, kept current as new work flows in. It is queryable from any agent through our CLI, MCP connector, and plugins, shareable across a team with real permissions, and deployable on-prem for organizations that need it.\r\n\r\nThen the loop closes. Once a company’s state is legible to its agents, every agent run becomes training signal: which skills worked, which failed, which workflows keep repeating. Nessie feeds that signal back as reviewable improvements to the skills, prompts, and processes the team runs on. This is what makes a company recursive: its agents get better from its own history, the people working with them get better too, and the compounding never stops.\r\n\r\nWhere we are going: the AI-native organization runs thousands of agents that are powerful but amnesiac. Nessie is the layer that gives them, and the humans steering them, a shared memory. Science has journals, law has case law, software has git; AI-native knowledge work has had nothing. We are building it.\r\n\r\nFounded by two Yale CS grads and former Amazon engineers, now a team of three in San Francisco. Backed by BoxGroup, Pioneer Fund, Y Combinator, Precursor, and more.\r\n\r\nhttps://nessielabs.com",
    "one_liner": "The shared context layer for recursive companies - your work, your…",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762383705,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/nessie",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/nessie.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nessie-labs",
    "x_url": "https://x.com/NessieLabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/400e4be5acfaa12735760bedcf4f0ad136f82137.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 2910312,
        "full_name": "Anna Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Nessie. Yale BS ‘24. Prev engineer @ Amazon's recommendation service. Shipped ML-powered features for billions of customers and led experiment that demonstrated a $200MM/year revenue impact. Obsessed with augmenting human cognition since high school, having conducted neuroscience research at The Rockefeller University. Founded Nessie with Tiger to build AI brains after hitting the 1-million-token limit in multiple Gemini chats.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anna-zhang-y/",
        "x_url": "https://x.com/anna_y_zhang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cbef9d4ec219c2791ba3e220d73050b20878456.jpg"
      },
      {
        "user_id": 2910289,
        "full_name": "Tiger Wang",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ Nessie. Yale BS ’24. Previously at Amazon, engineered planetary-scale authentication systems handling 40 billion requests/day. Promoted in a Tier-0 org in record time. Shipped an Android app with 70k+ users at age 13 and researched Linux kernel security at Yale. Expert in reverse-engineering complex systems.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tiger-wang-6a9b06189/",
        "x_url": "https://x.com/tigerjwang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d70354fffd2186b4b828b8809f6d75339ef80161.jpg"
      }
    ],
    "jobs": [
      {
        "id": 94429,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/nessie/jobs/3HYCa6v-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97490,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/nessie/jobs/rfwlLxQ-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95270,
        "title": "Nessie: Perplexity for Your Mind",
        "tagline": "Turn your AI chats into searchable memory",
        "body": "![uploaded image](/media/?type=post&id=95270&key=user_uploads/854295/e88fb9f4-8055-4721-94d1-6959e0d83509)\n\nHey everyone! We're [Anna](https://www.linkedin.com/in/anna-zhang-y/) and [Tiger](https://www.linkedin.com/in/tiger-wang-6a9b06189/) – co-founders of [Nessie](https://www.ycombinator.com/companies/nessie).\n\n**TLDR**: Nessie turns your scattered AI conversations into a personal knowledge base where you can search, ask questions, and surface new insights.\n\nMany of us now think through AI conversations. Our most creative moments and deepest explorations happen in conversations with AI. Nessie is Perplexity for your mind, giving every AI conversation a permanent memory.\n\n# **The Problem**\n\nYour best ideas are scattered.\n\nBrilliant insights are buried in endless AI chat histories, impossible to find or build upon. Trying to connect an idea from last Tuesday’s chat with a note from today is a nightmare of copying, pasting, and losing context.\n\nYour best ideas deserve to compound.\n\n# **The Solution: A Home for Your Ideas**\n\nhttps://www.youtube.com/watch?v=FPSfW_0jFr4\n\nNessie gives your ideas a home—a single, fluid space where your notes and AI conversations live together. It’s a thinking partner that effortlessly captures your insights, building a single, perfect memory of your ideas.\n\nThis lets you:\n\n1. **Build your personal knowledge base, effortlessly**.\n\n   Import your entire ChatGPT history, or capture individual conversations that you don’t want to lose. Nessie automatically distills your conversations into structured notes, organized around topics you care about. Your existing ideas become a structured, searchable knowledge base without you lifting a finger.\n\n   ![uploaded image](/media/?type=post&id=95270&key=user_uploads/2910312/ac6fef3a-848f-45c9-8b46-667661498cfd)\n\n2. **Instantly find any idea**.\n\n   Search across your entire knowledge base and unearth your most brilliant ideas in seconds. Never lose a thought to a messy chat history again.\n3. **Compound your best thinking**.\n\n   Your knowledge base becomes a thinking partner. You can chat with a specific concept, a folder of notes, or your entire knowledge base to connect ideas and create new insights.\n4. **Own your mind**.\n\n   We believe agency over your own thinking is critical, especially in the age of AI. Nessie gives you transparent control over your memory. Your knowledge is built from visible, editable notes that you can shape and delete at will. Everything is stored locally and privately on your device—no one can see it but you.\n\n# **Who This Is For**\n\nNessie is built for AI-native thinkers: the researchers, founders, VCs, and writers who are already using AI as a partner to develop and challenge their ideas. If you live in ChatGPT and feel its limitations every day, we built Nessie for you.\n\n# **Our Vision**\n\nWe are building your personal context layer for the AI age. Our vision is a future where your thinking compounds effortlessly, where no idea is ever lost, and your own knowledge becomes your most powerful tool.\n\n# **About Us**\n\nWe built Nessie for ourselves.\n\nWe met at Yale and bonded over our shared obsession with using AI to push the limits of our own thinking. We quickly hit a wall. Anna had several Gemini chats that crossed the 1M token context window—a massive limit for any major model today. The brilliant insights from those conversations are now effectively lost.\n\nWe felt constrained by tools that weren't built for the way we think, so we built the solution we needed.\n\nWe use Nessie every single day.\n\n# **Our Ask**\n\n1. **Try Nessie and build your AI second brain.** We are obsessed with feedback from fellow AI power users and would be honored to hear your honest thoughts.\n2. **Follow our journey.** We'll be sharing updates, behind-the-scenes, and our learnings as we build in public.\n   * [**X/Twitter**](https://x.com/NessieLabs)\n   * [**LinkedIn**](https://www.linkedin.com/company/nessie-labs)\n   * [**Discord**](https://discord.gg/6DkXCpVu6K)\n3. **Share with a friend.** If you know another founder, researcher, or writer who lives in their AI chats and is constantly losing great ideas, we'd love for you to share Nessie with them.\n\n**Download the Nessie Mac app at[ https://nessielabs.com/](https://nessielabs.com/)**\n\n**Contact us at [founders@nessielabs.com](https://mailto:founders@nessielabs.com)**\n\n![uploaded image](/media/?type=post&id=95270&key=user_uploads/2910312/06468cb4-10b3-444a-a3d6-9814a38ca81b)\n\n",
        "url": "https://www.ycombinator.com/launches/Omc-nessie-perplexity-for-your-mind",
        "votes": 34,
        "created_at": "2025-11-06T19:16:54.910Z"
      }
    ]
  },
  {
    "id": 30882,
    "name": "AtlasGrid",
    "slug": "atlasgrid",
    "former_names": [
      "I purchased precedents.ai, will found a corp w/ Clerky in 2 weeks once the domain transfer is confirmed",
      "precedents.ai",
      "AtlasGrid AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c51d7c36e595d35dc2f3a6fbe00ef8d4d923dbe9.png",
    "website": "https://atlasgrid.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "AtlasGrid automatically builds a visual graph of your mobile app UI and displays analytics directly on your screens. Additionally, our fleet of AI-powered agents will continuously analyze thousands of mobile apps, gathering design insights and identifying growth opportunities + actionable product improvements.",
    "one_liner": "Accelerate Product Iteration",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1763057438,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/atlasgrid",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/atlasgrid.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/atlasgrid-ai",
    "x_url": "https://x.com/AtlasGridAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c51d7c36e595d35dc2f3a6fbe00ef8d4d923dbe9.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 32432,
        "full_name": "Oleg Kostour",
        "title": "Founder/CEO",
        "founder_bio": "Oleg Kostour is a 2nd time YC founder and Waterloo alum. He founded Pair (YC W12), a messaging app that received 10M installs and reached the top charts in the iOS social networking category. He closed 2 acquisitions - with Dropbox, then Life360 - and ran the Growth team at Life360 from ~3M rMAU through to their IPO (~90M MAU).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/olegkostour/",
        "x_url": "https://x.com/olegkostour",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff761ae7310a93ecd5707a50f3feb78719dd3524.jpg"
      },
      {
        "user_id": 3094722,
        "full_name": "Aram Aghababyan",
        "title": "Founder",
        "founder_bio": "Ex-Meta - Superintelligence Labs, AI Infra. Data and compute resource management platform for ML training jobs.\nPrior to Meta, worked on DC infrastructure for large-scale software-defined networks at Insieme Networks (acquired by Cisco).\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaghababyan/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b64c22b9abe68825f0256e2464c01d87d017a050.jpg"
      },
      {
        "user_id": 73281,
        "full_name": "Anton Krutiansky",
        "title": "Founder",
        "founder_bio": "Anton Krutiansky is a second-time YC founder, Waterloo alum, and former tech lead at Dropbox. He co-founded Pair (YC W12) and played a key role in its acquisition by Dropbox. At Dropbox, Anton served as a tech lead on growth and mobile teams, building growth and experimentation infrastructure and leading mobile engineering across several product teams.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/antonkrutiansky",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29725cd7fecac6ba53fec05640e0f0d22b137191.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 95857,
        "title": "AtlasGrid - Accelerate Product Iteration",
        "tagline": "The Future of Analytics & Growth Intelligence",
        "body": "https://www.youtube.com/watch?v=W-VDeXPeNCA\n\n**TLDR**\n\nAtlasGrid automatically builds a visual graph of your mobile app UI and displays analytics directly on your screens. Additionally, our fleet of AI-powered agents will continuously analyze thousands of mobile apps, gathering design insights and identifying growth opportunities and actionable product improvements.\n\n![uploaded image](/media/?type=post&id=95857&key=user_uploads/32432/63720cfd-c630-4559-a683-55aa9a607eeb)\n\n**The Problem**\n\nProduct teams today operate in an increasingly fragmented environment. As organizations scale, documentation becomes scattered across PRDs, design files, JIRA tickets, and BI dashboards.\n\nThe lack of an up-to-date data dictionary causes analysts to have to track down subject-matter experts or ask engineers to audit the code to confirm the implementation of events. Designers creating new experiment variants find it hard to understand what users do on their existing screens before changing them (_“I wish Figma had a **data mode**”_). There’s often no single, authoritative ‘**source of truth**’ file for the interface design that can be referenced to understand what a user _actually_ sees, and in some cases, there is no Figma file at all (as designers adopt tools like Cursor to prototype). Oftentimes, product personnel resort to manually annotating Figma files with analytics found in their BI tools, or manually screenshotting parts of their own app.\n\nThese obstacles make it difficult to form a coherent, end-to-end understanding of a complex app. As a result, teams operate with partial or conflicting information, leading to missed growth opportunities.\n\n**Introducing AtlasGrid, an easy way to see your data in context**\n\nAtlasGrid uses an AI agent to go through your iOS and Android app, building a graph of the app architecture. It captures your analytics events, and builds a searchable graph of your app. You can easily find app screens, flows, events and even see funnel + CTA conversion rates directly on your UI. This makes it easy to get answers to questions like _“which upsells drive most of my trials”_ or _“where am I losing most of my users in onboarding”_. By tracking changes across every version of your app, every feature flag, we will become a source of truth for your product development cycle.\n\n![uploaded image](/media/?type=post&id=95857&key=user_uploads/32432/ae6d9a35-971a-41d8-b6a3-dde2df305631)\n\n**Our Vision**\n\nAtlasGrid is building towards a future in which generative design is commoditized, and the primary differentiator for teams will be performance. How quickly they can identify opportunities, ship improvements, and measure results. Our platform will integrate directly with AI code-generation tools, enabling developers to rapidly launch design variations suggested by “the grid,” dynamically reconfiguring their app for growth.\n\nWe believe the future of product development is self-improving applications, as more stages of today’s iteration process become automated. AtlasGrid will accelerate one of the most costly and time-consuming parts of that lifecycle.\n\n**Our founding team**\n\n[**Oleg Kostour**](https://www.linkedin.com/in/olegkostour/) is a 2nd time YC founder and Waterloo alum. He founded Pair (YC W12), a messaging app that received 10M installs and reached the top charts in the iOS social networking category. He closed 2 acquisitions - with Dropbox, then Life360 - and ran the Growth team at Life360 from \\~3M rMAU through to their IPO (\\~90M MAU).\n\n![uploaded image](/media/?type=post&id=95857&key=user_uploads/32432/d6267f91-4de3-49fc-be7a-06438679c1b5)\n\n[**Anton Krutiansky**](https://www.linkedin.com/in/antonkrutiansky/) is a second-time YC founder, Waterloo alum, and former tech lead at Dropbox. He co-founded Pair (YC W12) and played a key role in its acquisition by Dropbox. At Dropbox, he served as a tech lead on growth and mobile teams, building growth and experimentation infrastructure and leading mobile engineering across several product teams.\n\n[**Aram Aghababyan**](https://www.linkedin.com/in/aaghababyan/) was an Engineer at Meta Superintelligence Labs, developing the AI training platform for managing data and compute resources for ML training jobs. Prior to Meta, he specialized in data center infrastructure for large-scale software-defined networks at Insieme Networks (later acquired by Cisco).",
        "url": "https://www.ycombinator.com/launches/Ow5-atlasgrid-accelerate-product-iteration",
        "votes": 58,
        "created_at": "2025-11-29T06:03:01.423Z"
      }
    ]
  },
  {
    "id": 30883,
    "name": "hillclimb",
    "slug": "hillclimb",
    "former_names": [
      "Plun",
      "Hillclimb"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/660320374818f816f5cf14de03fe92dcab2740eb.png",
    "website": "https://hillclimb.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We work with frontier AI labs to help train their agents to become AI research scientists",
    "one_liner": "Training Data for Recursive Self-Improvement",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1759385382,
    "tags": [
      "Reinforcement Learning"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
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        "body": "Hello! We’re Jun Park and Ibrakhim Ustelbay, founders of[ hillclimb](https://www.hillclimb.ing).\n\n\\_TLDR: To close the gap between today and the arrival of artificial superintelligence, we’re building a community of the world’s brightest minds to create the next generation of training data. Starting with math, we’ve formed the world’s densest cluster of IMO medalists, lean experts, and other math talent to design **RL environments** for frontier labs.\\_\\\n\\\n[Launch Video](https://youtu.be/30y3-SbRfZM)\n\n# The Problem - Data is accelerating on every axis\n\n**3 years ago,** we were impressed that ChatGPT could get good SAT scores. Today, GPT-5 and other frontier models assist meaningfully in coding, research, and tool use. Within two years, AI systems will autonomously [extend the frontier of science](https://x.com/SebastienBubeck/status/1958198661139009862?s=20).\n\n**Behind every leap in capability is a leap in the sophistication of data:**\n\n* From simple supervised fine-tuning → to richly structured RL environments → to world models and beyond\n* From mass labor → to curated, deeply intellectual data generation\n* From “labeling tasks” → to capturing the reasoning processes of domain experts\n\n![uploaded image](/media/?type=post&id=95533&key=user_uploads/1934623/128c37ee-f8e8-411b-9826-4b1b4492a9e2)\n\n_If AI reflects the intelligence of the people who shape its training data, the next era of progress requires the smartest humans on the planet._\n\n# The Solution - The world’s first _human superintelligence_ community\n\n![uploaded image](/media/?type=post&id=95533&key=user_uploads/1934623/1e971272-cd2e-46d9-9814-f81268047155)\n\n**In our first 2 months, we’ve:**\n\n* Built the densest cluster of elite math talent in the industry (IMO medalists, [Putnam Top 50](https://maa.org/wp-content/uploads/2025/03/2024-William-Lowell-Putnam-Competition-Announcement-of-Winners.pdf), Lean formalization experts, etc.)\n* Created _training data_ pipelines that faithfully capture their problem-solving intelligence\n* Partnered with [Nous Research](https://nousresearch.com) to help train a model that’s SOTA for math competitions.\n\n**We recruit top talent with a 85% winrate** against incumbents because we treat them as partners, not gig workers. For our work with Nous, we’ve negotiated co-authorship for our mathematicians because the data they produce has become a critical component of AI research.\n\n**Researchers love working with us** because we drop them in our community, allowing the iteration loop to become radically tighter. Instead of waiting for dataset revisions, they collaborate directly with world-class minds and see improvements in minutes, not months.\n\n# Our Story  **🎮 → 👨‍💻 → ⛰️**\n\nIt was only two years ago that we retired from competing professionally in esports. We taught ourselves to code and within a year, I became a research engineer at **DeepMind**, and Ibrakhim founded **Headstarter**, the first AI interviewer, scaling it to 100k+ users.\n\nIn the business of connecting the world’s smartest people to frontier labs, I understand the AI researcher’s perspective on what makes good training data, and Ibrakhim understands how to properly vet talent.\n\n![uploaded image](/media/?type=post&id=95533&key=user_uploads/1934623/08897fc4-b9c0-4dfd-913f-61f4bebd1998)\n\n# Our Ask\n\nIf you work at a frontier lab and need data (or know anyone who does), please reach out! Email us at [founders@hillclimb.com](mailto:founders@hillclimb.com).\n\nAlso, check out our site at [hillclimb.com](https://www.hillclimb.com/). Thanks for the support!\n\n![uploaded image](/media/?type=post&id=95533&key=user_uploads/1934623/797938d1-6d99-44f5-ad7d-1d302f0193fe)\n\n",
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        "id": 94606,
        "title": "Mod AI: Automating Accounts Payable with AI Agents",
        "tagline": "Where AP runs itself",
        "body": "Hey everyone 👋\n\nWe’re [Evan](https://www.linkedin.com/in/evanameyer/) and [Jeet](https://www.linkedin.com/in/jeetchugh/) – co-founders of [Mod AI](https://usemod.ai).\n\n# **TL;DR**\n\n**Mod AI automates the manual work of processing invoices for growing enterprises.** We’ve already helped accounting teams of 1-20+ streamline their invoice processing by 83%.\n\n**_Ask:_** Can you introduce us to CFOs, controllers, Accounting Directors, or Accounts Payable managers of mid to large companies that could benefit from streamlining their accounting processes with AI? Contact us at [evan@mod-ai.org](mailto:evan@mod-ai.org)\n\nhttps://youtu.be/XaT6mEQnWmE\n\n# ❌ The Problem\n\nMost growing enterprises still process invoices manually—hiring AP clerks to comb through inboxes, type up documents, and chase approvals. As volume grows, they scramble to add more headcount or outsource to expensive temps.\n\nThis creates three major pains:\n\n1. **Cash flow blindness** – No visibility until month-end close\n2. **Unscalable manual work** – More invoices means more clerks (highest-turnover role in finance)\n3. **Vendor relationship damage** – Late payments and errors erode trust\n\nWe talked to 23 CFOs last month—nearly all said their AP process couldn't scale.\n\n# 👷 Our Solution\n\nMod AI deploys AI agents that handle your accounts payable process end-to-end—from the moment an invoice arrives to the moment it's paid and synced to your books. Companies simply connect their systems and instantly get:\n\n* **Complete invoice capture** 📥**:** Auto-pull from email, supplier portals, EDI, physical mail\n* **Intelligent processing** 🧠**:** 97%+ accurate GL coding, 2-way/3-way matching, fraud detection\n* **Seamless approval & payment** ✅**:** Custom workflows, one-click approvals, direct sync to accounting software\n\n**Result:** Real-time spend visibility, 10x invoice volume without hiring, and stronger vendor relationships.\n\n# 🙏 Our Ask\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Do you know any mid-market CFOs, Controllers, or VP Finance leaders** whose AP teams are drowning in manual invoice work? Or are you one yourself? We'd love to show you a demo and discuss how Mod AI can help you scale without adding headcount.\n* **Can you introduce us to any finance operations networks or communities** where leaders are looking for AI solutions to automate back-office work?\n* **Can you introduce us to any accounting firms, fractional CFO groups, or ERP consultants** who work with mid-market companies in financial services, insurance, or manufacturing?\n\n👉 **Contact us at [evan@mod-ai.org](mailto:evan@mod-ai.org)**",
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        "full_name": "Tejas Agarwal",
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      {
        "id": 117263,
        "title": "Alder: the AI employee that gets you paid",
        "tagline": "Alder finds out why your cash is stuck and gets it moving",
        "body": "Hey everyone, I'm Tejas, founder of Alder. 👋\n\n**TL;DR: Alder is an AI employee for accounts receivable. It works your receivables like a great AR hire: it finds out why a payment is stuck, follows up with the right person, and gets it moving. Nothing goes to your customer without your OK.** \\\n\\\nOur ask: if your team spends time chasing invoices and getting paid, send them to us. We'll work them for you, free for two weeks. Book 30 minutes at [meetalder.com/demo](http://meetalder.com/demo?utm_source=launchyc) or email [founders@meetalder.com](mailto:founders@meetalder.com).\\\n\\\n**Invoices don't get refused. They get stuck.**\n\nIn the US, 43% of B2B invoice value is overdue at any given time, and another 5% gets written off. Most of it is stuck.\n\n\\- A PO number is missing, so the invoice can't be approved\\\n\\\n\\- The customer's AP portal rejected it, and the notice went to an inbox nobody checks\n\n\\- The AP contact left or is on leave, and nobody else owns it\n\n\\- \"It's on Friday's payment run\", and Friday comes and goes\n\nWe learned this the hard way selling to a large bank: our champion left, the AP team had never heard of our contract, the new contact went on maternity leave, and then someone needed two weeks to verify our bank details. Eight emails and one very polite phone call later, we got paid.\\\n\\\nUnsticking each invoice takes a person who can diagnose the blocker, find the new owner, send the right document, and remember what was promised three weeks ago. Today that's your AR team or an outsourced BPO, and most AR tools just help them track the work instead of doing it.\\\n\\\n[Meet Alder](https://www.youtube.com/watch?v=XTU1QKoMoU8) **- your AI accounts receivable employee:**\n\nWhat Alder does\n\n\\- **Knows what's outstanding.** Reads open invoices from your ERP, plus past replies, attachments, and incoming payments\n\n\\- **Diagnoses before it writes.** Works out why each invoice is late first\n\n\\- **Checks with you.** Anything customer-facing waits for your approval\n\n\\- **Does the work**. Follows up in the original email thread, submits and fixes invoices in Coupa and Ariba, tracks every promise to pay\\\n\\\n\\- **Tells you when it's done.** Posts to Slack as work completes, so you always know where every invoice stands.\\\n\\\n**Team**\\\nBefore Alder, I built compliance systems that paid 5M+ Uber drivers every week, so I've seen what happens when money has to move on rules. Agents are going to be very good at this work: it's repetitive, it runs on clear rules, and it needs someone who never forgets to follow up. More than $100 trillion in B2B payments moves every year. We’re starting with getting you paid, and Alder will take on more of the back office from there.\\\n\\\n**Try it:** We'll work your overdue invoices for **two weeks, free, no commitment**. Book 30 minutes at <https://meetalder.com/demo> or email [founders@meetalder.com](mailto:founders@meetalder.com).",
        "url": "https://www.ycombinator.com/launches/UVL-alder-the-ai-employee-that-gets-you-paid",
        "votes": 6,
        "created_at": "2026-09-28T19:35:48.904Z"
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    "id": 30891,
    "name": "SF Tensor",
    "slug": "sf-tensor",
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    "website": "https://sf-tensor.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI researchers should be pushing the boundaries of what's possible with new architectures and training methods. Instead, they waste weeks configuring cloud infrastructure, debugging distributed systems, and optimizing their GPU code. We know because we lived it: While training our own models across thousands of GPUs earlier this year, we spent more time fighting our infrastructure than doing actual research.\r\n\r\nThat's why we're building two things. First, Elastic Cloud: a managed platform that automatically finds the cheapest GPUs across all providers, handles spot instance preemption, and cuts compute costs by up to 80%. Second, automatic kernel optimization that makes training code run faster by modeling hardware topology, often beating hand-tuned implementations.\r\n\r\nThe problem is that getting high performance across different hardware is genuinely hard. NVIDIA's CUDA moat exists because writing fast kernels requires deep expertise. Most teams either accept vendor lock-in or hire expensive kernel engineers. Our goal is to break the CUDA moat.\r\n\r\nThe compute bottleneck is the biggest constraint on AI progress. NVIDIA can't manufacture enough GPUs, and their monopoly keeps prices astronomical. Meanwhile, AMD, Google, and Amazon are shipping capable alternative hardware that nobody uses because the software is too hard. We're breaking that moat. If we succeed, anyone will be able to train state-of-the-art models without thinking past their PyTorch code.",
    "one_liner": "Infrastructure for AI labs to focus on research.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "AI labs and startups should focus on breakthrough research—new architectures, training methods, the stuff that ends up in papers. Instead, they burn countless hours configuring cloud infrastructure, debugging distributed training, and negotiating GPU deals. \r\n\r\nWe know because we lived it. While training our own models, we realized we were spending 60% of our time on infrastructure and 40% on actual research. Talking to other teams, we found everyone had this problem. Small labs can't afford dedicated infra teams. Large labs waste research talent on DevOps. \r\n\r\nThis infrastructure tax is holding back AI progress. We decided to eliminate it. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Today, wanting performance means vendor lock-in to NVIDIA. This creates artificial scarcity: limited production capacity, sky-high prices, and compute monopolies. By making all hardware from AMD GPUs, TPUs, Trainium, whatever comes next, equally usable, we'll unlock massive new supply. \r\n\r\nIn this world, anyone can train state-of-the-art models without ever thinking past their PyTorch code. Startups won't need infrastructure teams. Researchers won't waste time on cloud configuration. CEOs won't negotiate GPU rental deals. \r\n\r\nCompute will be abundant, cheap, and boring. And AI research will accelerate because researchers can finally focus on research. "
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    "url": "https://www.ycombinator.com/companies/sf-tensor",
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    "founders": [
      {
        "user_id": 801244,
        "full_name": "Ben Koska",
        "title": "Founder/CEO",
        "founder_bio": "Optimizing GPU Kernels @ SF Tensor.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/benkoska",
        "x_url": "",
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      {
        "user_id": 2951036,
        "full_name": "Luk Koska",
        "title": "Founder/CTO",
        "founder_bio": "Optimizing AI infrastructure @ SF Tensor (F25).\nFinished BSc in CS @ age 16",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lukkoska/",
        "x_url": "",
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      },
      {
        "user_id": 2950892,
        "full_name": "Tom Koska",
        "title": "Founder",
        "founder_bio": "Optimizing AI infrastructure @ SF Tensor (F25).\nFinished BSc in CS @ age 16",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tomkoska/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/316bba78559c885b37648ceb2d2d637aa0bdf655.jpg"
      }
    ],
    "jobs": [
      {
        "id": 107006,
        "title": "Member of Technical Staff, Product Engineering",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/gkuqeM2-member-of-technical-staff-product-engineering",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$225K - $275K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107007,
        "title": "Member of Technical Staff, Sandbox Infrastructure",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/plO372C-member-of-technical-staff-sandbox-infrastructure",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$275K - $315K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107008,
        "title": "Member of Technical Staff, Post-Training & Applied Research",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/IgxqFjw-member-of-technical-staff-post-training-applied-research",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$275K - $315K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107009,
        "title": "Member of Technical Staff, GPU Kernels",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/1zQSFYC-member-of-technical-staff-gpu-kernels",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$285K - $315K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107010,
        "title": "Member of Technical Staff, GPU Compiler",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/ZJL2GLy-member-of-technical-staff-gpu-compiler",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$285K - $315K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107011,
        "title": "Member of Technical Staff, AI-Driven Compilation",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/ZvA4OCy-member-of-technical-staff-ai-driven-compilation",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$275K - $315K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112314,
        "title": "Member of Mathematical Staff",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/abpmgWv-member-of-mathematical-staff",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$225K - $315K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    "launches": [
      {
        "id": 95098,
        "title": "SF Tensor - Infrastructure for the Era of 
Large-Scale AI Training ⚡",
        "tagline": "We tweak kernels to squeeze out extra speed, hunt down the cheapest GPUs across every cloud and make your models train on any hardware. Train frontier models without the DevOps nightmare. ",
        "body": "Hey everyone 👋 \n\nWe’re [Ben](https://www.linkedin.com/in/benkoska/), [Tom](https://www.linkedin.com/in/tomkoska/) and [Luk](https://www.linkedin.com/in/lukkoska/) - co-founders of SF Tensor. \n\n**TL;DR:** We let AI researchers forget about the infrastructure layer and focus on their research. \n\nWe automatically optimize kernels to run faster, find the cheapest GPUs across every provider and migrate your jobs when spot instances fail. Training AI should be about AI, not DevOps. \n\n**_Ask:_** Know anyone training or fine-tuning AI models? We’d be grateful for an intro! Reach out to us at [founders@sf-tensor.com](mailto:founders@sf-tensor.com). \n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/994bfb29-1b66-4506-86bd-8b3d0197eff4)\n\n## **The Problem**\n\nTraining AI should mean developing smarter architectures and finding better data. But right now, it doesn’t. Teams waste their time on everything but actual research: \n\n* Optimizing code so that training runs don’t drain the bank \n* Fighting cloud providers and scrambling for GPU availability \n* Making distributed training work with reasonable MFU (=cost efficiency).\n\nThis drives up costs, frustrates everyone and kills velocity. Infrastructure has inadvertently turned into the limiting factor for AI research labs, and it’s killing progress.\n\nWe experienced this first-hand developing our own foundation models – what we expected to be AI research, experimentation and iterative improvement turned out to be an ugly mix of writing CUDA, debugging driver mismatches and optimizing inter-GPU collective operations. That’s why we decided to solve the infrastructure layer, to allow other researchers to **focus on research, not infrastructure**.\n\n## **Our Solution**\n\nSF Tensor is the \"set it and forget it\" infrastructure layer for anyone training or fine-tuning AI models. Hook up your repo, pick your GPU count and budget, and we deal with the rest:\n\n* Our automatic kernel optimizer analyzes your architecture and tunes execution for any hardware (NVIDIA, AMD or TPUs). No more having to drop down into custom CUDA because PyTorch doesn’t understand memory topology. \n* We find the cheapest available compute across all clouds for your specific requirements and launch your training run. \n* Automatic Distributed Training allows you to scale from 1 to 10,000 GPUs without having to change your code or killing your MFU \n* Everything else that you shouldn’t have to think about: Spot instance migration? Handled. Monitoring? Baked in. Logs and artifacts? Done.\n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/89170605-19e4-4029-87dd-7a3fa85cc9df)\n\n## **The Team**\n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/519e2798-579a-43e1-8c96-28f3be87a392)\n\nWe’re 3 brothers that have been working on Artificial Intelligence together for years, most recently training our own Foundational World Models. SF Tensor was born out of our own needs as AI researchers scaling up training runs to thousands of concurrent GPUs.\n\nBen has been publishing AI research since high school, solo-training models across 4,000 GPUs as co-PI on a 6-figure grant.\n\nTom and Luk (twins btw) have been doing AI research for years, from starting college in parallel to high school at age 14 to finishing their BSc in CS (at age 16).\n\n## **Compute should be boring. Let’s make it boring.**\n\nTry us right now at [sf-tensor.com](http://sf-tensor.com) or contact us at [hello@sf-tensor.com](mailto:hello@sf-tensor.com) to see how we can help with your infra pains.\n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/3ca5b95d-168d-402c-a899-5a42965ee527)\n\n",
        "url": "https://www.ycombinator.com/launches/Ojq-sf-tensor-infrastructure-for-the-era-of-large-scale-ai-training",
        "votes": 23,
        "created_at": "2025-11-04T18:36:08.802Z"
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    "id": 30894,
    "name": "Unsiloed AI",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI teams spend 6+ months building document workflows, yet fewer than 10% ever reach production. Generic LLM parsers and OCR collapse on multimodal documents with text, tables, images, and charts. Poor parsing and suboptimal chunking cripple RAG pipelines and downstream automation. Unsiloed AI has built state-of-the-art vision models which serves as the infrastructure layer for turning unstructured data into structured, queryable, and LLM-ready assets.\r\n\r\nOur APIs are already parsing hundreds of thousands of documents for startups and NASDAQ-listed enterprises, powering vertical AI solutions across industries. On public benchmarks, Unsiloed AI consistently outperforms solutions from LlamaIndex, Gemini, Mistral, and Unstructured.io among others.",
    "one_liner": "API for parsing multimodal unstructured data",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759119503,
    "tags": [
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      "Infrastructure",
      "AI",
      "APIs"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/unsiloed-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/unsiloed-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/unsiloed-ai",
    "x_url": "https://x.com/UnsiloedHQ",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 879419,
        "full_name": "Aman Mishra",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Unsiloed AI • IIT Kharagpur\n\nPreviously built an ultra low-latency trading system moving billions at a hedge fund. Founding Engineer (#1) at an SF-based startup building AI copilots for firms like Goldman Sachs and Charles Schwab. Launched a P2P rental platform from my dorm room, scaling it to thousands of orders within 2 months of operation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aman005/",
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      },
      {
        "user_id": 2381336,
        "full_name": "Adnan Abbas",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at Unsiloed AI • MIT • IIT Kharagpur\n\nBuilt multi-modal models deployed at a Fortune 10 company. Was building autonomous navigation systems at Mercedes Benz. Launched India’s first Web 3.0 audio app while in college, scaling it to thousands of users within a month.",
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        "linkedin_url": "https://www.linkedin.com/in/adnan-abbas-903b711a2",
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    "jobs": [
      {
        "id": 87605,
        "title": "Founding Software Engineer - Backend and Infrastructure",
        "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/cmlq27S-founding-software-engineer-backend-and-infrastructure",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 87808,
        "title": "Founding ML Researcher",
        "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/SJCT4d4-founding-ml-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "Torch/PyTorch",
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          "Computer Vision",
          "Data Analytics"
        ]
      },
      {
        "id": 95433,
        "title": "Founding GTM Lead",
        "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/ePft6Ux-founding-gtm-lead",
        "location": "San Francisco, United States",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 95076,
        "title": "Unsiloed AI: Make Unstructured Data LLM-Ready",
        "tagline": "We build APIs to parse multimodal unstructured data and convert it into LLM-ready formats. Our vision is to make documents as computable and queryable for AI Agents as your data sitting in an RDS.",
        "body": "Hey YC, we are [Aman Mishra](https://www.linkedin.com/in/aman005/) and [Adnan Abbas](https://www.linkedin.com/in/adnan-abbas-903b711a2) from [Unsiloed AI](https://www.unsiloed.ai/).\n\n**TL;DR:** _Unsiloed AI is building the most accurate APIs for ingesting multimodal unstructured data like PDFs, PPT, DOCX, tables, charts, and images, and converting it into structured Markdown and JSON for downstream LLMs and AI Agents._\n\nWe are already processing millions of pages of complex documents each week for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups in accuracy-sensitive domains like finance, legal, and healthcare.\n\nhttps://youtu.be/ULDK5dgfgzM\n\n**The Problem**\n\nMore than **80% of enterprise data is multimodal and unstructured**. AI teams spend **6+ months** building accurate document‑ingestion pipelines that keep breaking.\n\n* From the tons of open‑source solutions out there, it’s still tough to achieve superior accuracy on even mildly complex cases.\n* Traditional OCRs are static and break with changing layouts.\n* LLMs, although good at comprehension, suffer at **deterministic extraction**, making them unreliable for accuracy‑sensitive domains like finance and healthcare.\n* Early‑stage vertical AI teams end up becoming **document AI companies**, reinventing the wheel, as evident from **300+ conversations** we’ve had with AI teams of all sizes.\n\n**Solution (What we built)**\n\nWe combine **vision models** with **OCR‑based models** to accurately extract information from complex documents.\n\n**1) Pre‑processing & Segmentation**\n\n* We segment data into **texts, tables, images, and plots** using specialized models for each task.\n* We use a **heatmap‑based chunking** technique that first generates **pivot elements** from the document. Pivot elements are the elements of importance, e.g., **numbers and merged cells in tables**.\n* This chunking strategy ensures all related pieces of information are preserved in the **same chunk** (e.g., a table spanning multiple pages, rows split across pages), while unrelated information is split across chunks. The result: retrieval feeds **only accurate, complete‑context chunks** to LLMs.\n\n**2) Dual‑Stream Representation**\n\nPost pre‑processing, we pass the segmented chunks through **two parallel streams**:\n\n* **Data Stream:** preserves the **extracted content**.\n* **Layout Stream:** preserves the **actual layout & hierarchy** (indentation, alignment, clause/sub‑clause structure).\n\nThis matters because the data is not just text and numbers the **structure carries meaning** (e.g., a right‑aligned cell in a financial table or the way clauses/sub‑clauses are arranged). The dual stream captures both **semantic content** and **structural cues**.\n\n**3) Domain‑Specific Decoder**\n\n* A decoder consumes both the streams and structures the outputs as per the required **JSON schema** or **Markdown**.\n* We incorporate **domain‑specific ontologies** (finance, healthcare, legal).\n* An in-built **RL pipeline** to train the decoder when outputs involve internal terminology that is hard to capture using a general LLM.\n* We generate **confidence scores** for each extracted item; **low‑score items** are collected over time to run **fine‑tuning jobs**\n\nWe can run all of this under fully air-gapped on-premise environments as well for privacy-sensitive verticals.\\\n\\\n**Here are some sample outputs generated by our Vision Models:**\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/fdfed5e7-994a-47d3-9357-b20b1d2a3b67)\n\nPIE Chart formatted markdown\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/7e78481c-6898-4bfe-a6d8-c49ada7cef52)\n\nJSON output from handwritten, scanned docs, along with confidence scoring and citations.\\\n\\\n**Our Progress:**\n\nWe are already processing millions of pages for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups (including 10+ YC startups) across finance, legal, and healthcare. On public benchmarks, we consistently outperform solutions from LlamaIndex, Gemini, Mistral, and [**Unstructured.io**](http://Unstructured.io)**,** among others.\n\nHere is a representation of the volume of pages we have processed, stacked on top of each other.\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/849f06b2-5d8d-4c77-8b73-40f6661a3f92)\n\n**Our Ask:**\n\nParsing **PDFs, images, PPTs,** or **Excel files** for your **Vertical AI** use case or **RAG** pipeline? Give [**Unsiloed AI**](https://www.unsiloed.ai/) a try. We turn months of ingestion work into one API call for every document type.\\\n\\\nSign up on [**unsiloed.ai**](http://unsiloed.ai) to give it a try (no credit card needed)\\\n\\\n**For any queries or feedback**:\\\n\\\nShoot us an email at [**founders@unsiloed.ai**](mailto:founders@unsiloed.ai) \\\nPing on WhatsApp/iMessage at +1 415 996 5878 (Aman)\\\nWebsite: [**https://www.unsiloed.ai/**](https://www.unsiloed.ai/)",
        "url": "https://www.ycombinator.com/launches/OjU-unsiloed-ai-make-unstructured-data-llm-ready",
        "votes": 52,
        "created_at": "2025-10-31T20:18:08.350Z"
      }
    ]
  },
  {
    "id": 30896,
    "name": "Multifactor",
    "slug": "multifactor",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b22602dcf84ece0389bd7a801525177573cf75ba.png",
    "website": "https://multifactor.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The agentic era is here, but its foundation is dangerously insecure. A growing number of high-profile \"AI agent gone rogue\" security incidents make headlines each week.\r\n\r\nAs enterprise adoption of agentic software has far outpaced the development of applicable cybersecurity solutions, CISOs have loudly voiced a growing need for verifiable, fine-grained security controls on complex multi-agent systems. That's why we built Multifactor.\r\n\r\nMultifactor offers best-in-class authentication, authorization, and auditing technologies for agentic systems, allowing users to securely and revocably share online accounts with agents while maintaining fine-grained permissions and a detailed event history. We are doing for AI security what Cloudflare did for web security, Okta did for identity security, and Wiz did for cloud security: defining the category.\r\n\r\nA world-class \"account manager\" that allows agents to securely use online accounts on your behalf is just the start—our early enterprise partners include companies using AI agents to manage $7.5+ billion manufacturing supply chains, where the consequences for lapses in security are severe. Our patented AI security technology seamlessly integrates with existing agentic software to thwart attacks like prompt injection, so CISOs and end users alike can breathe a sigh of relief, without slowing the pace of AI adoption.",
    "one_liner": "Zero-trust authentication, authorization, and auditing for AI agents",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1758318085,
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/multifactor",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/multifactor.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/multifactorcom",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 2875344,
        "full_name": "Vivek Nair",
        "title": "Founder/CEO",
        "founder_bio": "Former CIA agent and Technical Lead for elite cyber units of the CIA & DOD. Youngest ever Ph.D. in Computer Science from UC Berkeley. NSF, NPSC, and Hertz fellow. Winner of the CIA's Exceptional Performance Award for extraordinary contributions to US national security.",
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        "linkedin_url": "https://www.linkedin.com/in/nair/",
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    "jobs": [],
    "news": [
      {
        "title": "A.I. Deal Making Is Getting Faster - The New York Times",
        "url": "https://www.nytimes.com/2025/12/04/technology/ai-deal-making-faster.html",
        "date": "Dec 04, 2025"
      },
      {
        "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch",
        "date": "Nov 13, 2025"
      },
      {
        "title": "Hertz Foundation Entrepreneurship Award Goes to Vivek Nair for AI Cybersecurity Startup - Hertz Foundation",
        "url": "https://www.hertzfoundation.org/news/hertz-foundation-entrepreneurship-award-goes-to-vivek-nair-for-ai-cybersecurity-startup/",
        "date": "Sep 19, 2025"
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    "launches": [
      {
        "id": 95453,
        "title": "Multifactor: A password manager built for secure sharing with humans & AI",
        "tagline": "Multifactor lets you share online accounts securely without exposing passwords, just by sending a link. Import from LastPass, Apple, or Google with one click, then let humans and AI agents use your accounts on your behalf.",
        "body": "### Explainer Video\n\nhttps://www.youtube.com/watch?v=lug9O3BK7ok\n\nMultifactor is building the future of zero-trust authentication, authorization, and auditing for AI agents.\n\nToday, we’re excited to launch the best new way to securely share online accounts with humans and AI agents alike. Multifactor turns any online account into a “checkpoint link,” making secure and revocable account sharing as easy as sharing a Google doc.\n\n### FAQs\n\n**🧑‍💻 Who are we?**\\\nVivek Nair, co-founder & CEO, is a Ph.D. computer scientist and former CIA officer. Colin Roberts, co-founder & CTO, is a Ph.D. mathematician and former NASA scientist. We’re both passionate about usable security, with over a decade of cybersecurity experience.\n\n**🤔 What can I use it for?**\\\nOne of our investors uses the app to share email and calendar access with a rotating team of personal assistants without worrying about unauthorized edits.\\\nOur friend who is a financial advisor uses Multifactor to manage their clients’ brokerage accounts without needing their passwords.\\\nOur colleague uses Multifactor to share Instacart and Netflix accounts with her roommates while being able to easily add and remove people.\n\n**⏳ Why now?**\\\nWith increasing adoption of passkeys, biometrics, and MFA, accounts are getting more secure but harder than ever to share. Sharing conventional accounts with non-human actors (like AI agents) is also an emerging need that current solutions fail to address.\n\n**🔜 What’s next?**\\\nMulti, our AI assistant specializing in secure online account use, is right around the corner, with API access for developers coming shortly thereafter. The version you’re using today will always be free, but an enterprise plan with advanced features is coming soon.\n\nOur world-class \"account manager\" that allows agents to securely use online accounts on your behalf is just the start—our patented AI security technology seamlessly integrates with existing agentic software to thwart attacks like prompt injection, so CISOs and end users alike can breathe a sigh of relief, without slowing the pace of AI adoption.\n\n### Get Started\n\n* On the Web: https://app.multifactor.com\n* On iOS: https://apps.apple.com/us/app/multifactor-account-manager/id6753222030?platform=iphone\n* On Android: [https://play.google.com/store/apps/details?id=com.multifactor.app](https://play.google.com/store/apps/details?id=com.multifactor.app&ref=producthunt)\n* On Mac: https://apps.apple.com/us/app/multifactor-account-manager/id6753222030?platform=mac\n* On Windows: https://apps.microsoft.com/detail/9njxfnh5xb8d?hl=en-US&gl=US\n* On Chrome: https://chromewebstore.google.com/detail/multifactor/kbmlcdbnkedhffonmapkcglkllgdelhm\n\n### Demo Videos\n\nSharing accounts just by sending a link, **without** ever actually sharing the passwords. Can your password manager do that? https://www.youtube.com/watch?v=Vr_Ub0pBi6M\n\nInstantly revoke shared accounts, without having to change your passwords. Can your password manager do that? https://www.youtube.com/watch?v=TmDJX29SIU0\n\nOne-click logins to any site, on any device. Can your password manager do that? https://www.youtube.com/watch?v=r9NgEfFDy8A\n\nSecurely sharing any online account with AI agents. Can your password manager do that? https://www.youtube.com/watch?v=d3kRAlZei00\n\n### Product Images\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/2e4495eb-cc9b-4892-b77f-e02a76ea5f24)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/541e921d-397a-47fa-8761-e444494d56db)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/45648ce2-232c-4816-8c89-c75fb112fd57)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/9ae9040b-e6bc-4b78-b262-d0e8b397fb5a)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/6110c113-ae56-484f-b5a0-af47bf54f92d)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/b7a883f3-b8f5-4ed2-bbd5-fc76fc6d3a5f)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/4c57abc1-748f-4ed6-a296-23223420f78a)\n\n",
        "url": "https://www.ycombinator.com/launches/OpZ-multifactor-a-password-manager-built-for-secure-sharing-with-humans-ai",
        "votes": 22,
        "created_at": "2025-11-12T18:52:02.240Z"
      }
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    "id": 30899,
    "name": "Sciloop",
    "slug": "sciloop",
    "former_names": [
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    "website": "https://sciloop.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sciloop creates expert-level math and physics problems that frontier AI models can't solve, then sells the data to AI labs for training and evaluation. Our problems are created by IPhO and IMO medalists — the top 0.01% of STEM talent globally. On our benchmark, models like GPT 5.4 Pro and Gemini 3.1 Pro score 0-5% on our hardest problems. We work with AI labs to supply continuous, fresh training data that pushes the frontier of mathematical and scientific reasoning. Founded by Bilal and Osman, International Physics Olympiad medalists from MIT with hands-on ML research experience at MIT CSAIL.\r\n",
    "one_liner": "Expert STEM reasoning data for frontier AI labs.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1761248663,
    "tags": [
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        "full_name": "Bilal Asmatullah",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Sciloop (YC F25), On Leave From MIT\nInternational Physics Olympiad ’22 medalist.",
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      {
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        "full_name": "Osman Siddique",
        "title": "Founder",
        "founder_bio": "CTO and co-founder of Sciloop (YC F25). \nCS student at MIT (on leave). Medalist and two-time highest national scorer at the 2022 International Physics Olympiad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/osman-siddiquer",
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      {
        "id": 94951,
        "title": "Sciloop: The AI Scientific Researcher",
        "tagline": "Come up with novel hypotheses, run experiments, analyze results, and write the paper — all automatically.",
        "body": "**TL;DR: We’re making the AI that does your research for you.[ Book a call.](https://calendly.com/osman-sciloop/30min)**\n\nHi.\n\nWe’re building **Sciloop**, a platform that automates the entire scientific research loop from hypothesis generation to experiment design, execution, analysis, iteration, and drafting real research papers.\n\nhttps://youtu.be/GNM8iA6p9Ao\n\n**Our Story:**\n\nWe’re Bilal and Osman, IPhO medalists and former MIT students with 4 years of experience applying ML in various research domains. While working at MIT CSAIL, we saw how large language models could help with literature review and even generate new hypotheses. Stanford’s recent study ([Can LLMs Generate Novel Research Ideas?](https://arxiv.org/abs/2409.04109))  showed that LLM-generated hypotheses can be more novel than those from domain experts. We saw the same in our own work.\n\n![uploaded image](/media/?type=post&id=94951&key=user_uploads/2718484/3a420779-570b-4a69-b3ee-628644695a3e)\n\nBut after generating ideas, everything slowed down. We spent hours designing experiments, writing code, debugging compute setups, and rerunning failed jobs that could crash after 12 hours. Even with tools like Cursor that helped us code faster, the overall loop from idea to insight was still painfully manual. Researchers everywhere face this same bottleneck.\n\nSo we asked ourselves: what if the research loop itself could be automated?\n\nSo we built **Sciloop**. It takes a research intent — a question or hypothesis — and automatically designs, runs, and monitors experiments in parallel on our own managed cloud compute. It tracks metrics, analyzes results, recommends next steps, and finally drafts a paper summarizing methods and findings. Sciloop turns days of busywork into hours of progress.\n\nOur goal is simple: **to completely automate scientific discovery**. The next decade will see a century of progress packed into a few years. As AI grows smarter and more accessible, its biggest impact will be speeding up science — finding new cures, discovering better materials, and driving breakthroughs in physics and math.\n\nThat’s our north star. But we’re not waiting for the future. We’re helping ML researchers move faster **right now**, automating the parts of their workflow that slow them down most. Sciloop is already being used in MIT research groups and by early partners working on real ML problems.\n\nIf you’re a company, research lab, or ML team struggling with model performance, experimentation speed, or scaling research, we’d love to work with you. Our goal is to deliver concrete improvements on your research challenges today.\n\n🚀 **The Ask - Let’s Make Research Self-Improving!**\n\nIf you’re working on ML research that could move faster, **book a quick chat** at https://calendly.com/osman-sciloop/30min or email us at [**team@sciloop.dev**](mailto:team@sciloop.dev).\n\nWe help brilliant research ideas stop gathering dust. This is for anyone who:\n\n* Runs **university or industry ML labs** drowning in experiments.\n* Is a **research student** buried under mountains of code and papers.\n* Leads a **company dreaming of R&D** but lacking scientists or resources.\n* Has a **head full of creative ideas** but no time to bring them to life.\n\nLet’s collaborate and accelerate your research—together.\n\n\\[1\\][ Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers](https://arxiv.org/abs/2409.04109)",
        "url": "https://www.ycombinator.com/launches/OhT-sciloop-the-ai-scientific-researcher",
        "votes": 33,
        "created_at": "2025-10-29T01:25:09.249Z"
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  },
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    "id": 30900,
    "name": "LogosGuard",
    "slug": "logosguard",
    "former_names": [
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    "website": "https://logosguard.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Use AI tools like ChatGPT, Claude, and Gemini safely without leaking sensitive data. LogosGuard redacts your private information before the prompt ever leaves your device.",
    "one_liner": "The sensitive data redaction layer for AI",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762810607,
    "tags": [
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      "Compliance",
      "Security",
      "Cybersecurity",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/logosguard",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/logosguard.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/logosguard/",
    "x_url": "https://x.com/logos_guard",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1360462,
        "full_name": "Abel John",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder at Logos Guard",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/abel-john-85a7551b6",
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      {
        "user_id": 1963504,
        "full_name": "Sukrut Oak",
        "title": "Founder/CPO",
        "founder_bio": "Cofounder at LogosGuard",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sukrut-oak/",
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    "launches": [
      {
        "id": 95396,
        "title": "LogosGuard: The risk management software for enterprises adopting AI",
        "tagline": "Evaluate your AI risk, responsibly.",
        "body": "Hey everyone! We’re[ Sukrut Oak](https://www.linkedin.com/in/sukrut-oak/) and [Abel John](https://linkedin.com/in/abel-john-85a7551b6) from[ LogosGuard](https://logosguard.com/).\n\n**TL;DR**\n\nEnterprises are racing to adopt AI, but often don't have the right controls in place or know how to verify vendors are compliant. LogosGuard turns AI policies into executable controls, stress-tests your AI products, and continuously monitors changes, giving enterprises the confidence to scale AI responsibly.\n\n**The Problem**\n\nSOC-2 wasn’t designed for AI. Without the right controls in place, enterprises are having to rely on outdated standards or navigate a fragmented landscape of nascent AI frameworks (think NIST AI RMF, ISO 42001, and CSA AICM). The result: slow approvals for new projects and vendors, inconsistent and insufficient reviews, and no reliable way to prove an AI product still meets policy after it changes.\n\n**The Solution**\n\n**LogosGuard** is an AI governance and assessment platform that fits into your existing procurement and compliance systems, and produces reports your teams can act on:\n\n* **Build your AI Controls baseline.** We translate leading controls frameworks, including NIST AI RMF and ISO/IEC 42001, and your internal policy, into a clear set of AI controls. We help you understand and choose controls tailored to your industry, and keep up to date with the continuously changing state and federal regulations.\n* **Stress test the AI features.** We run targeted evaluations for prompt-injection, harmful guidance, PII mishandling, access-control gaps, transparency failures, robustness, and more.\n* **Continuous monitoring.** When vendors update models and features, we re-run the key tests continuously and alert you if risk rises over time.\n* **Painless reporting.** We provide executive summaries, auditor-ready evidence, and a searchable record of decisions so compliance, information security, and leadership see the same truth.\n\n**Impact**\n\n* Vendor risk reviews in days, not months\n* Maintain a robust set of AI controls, with regulatory compliance informing policy updates\n* Catch drift before incidents occur with continuous monitoring\n\n**Why us**\n\n* **Sukrut Oak** — Stanford BS/MS (CS, AI); 3+ years AI safety and benchmarking research; ex-AI engineering at Apple’s Health team; ex-SpaceX.\n* **Abel John** — Stanford BS/MS (CS, AI); ex-AI engineering at Apple; ex-MTS at Accordance (AI for tax accounting - backed by Khosla, Sequoia, and more)\n\n**Our Ask**\n\n* Warm intros to CISOs, CIOs, or anyone who signs off on new AI deployments.\n\nWe’d love to chat. Reach out to us at [founders@logosguard.com](mailto:founders@logosguard.com) or find a time on[ our calendar](https://calendly.com/d/cw55-rnb-3w8/logos-guard-demo)! If you’re in SF, coffee is on us:)\n\n[Launch Video](https://www.youtube.com/watch?v=UZL54wns8nI)",
        "url": "https://www.ycombinator.com/launches/Ooe-logosguard-the-risk-management-software-for-enterprises-adopting-ai",
        "votes": 231,
        "created_at": "2025-11-11T00:36:13.063Z"
      }
    ]
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    "id": 30903,
    "name": "Kestrel AI",
    "slug": "kestrel-ai",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a17c93b508bc423bb59667db4befdfd07cfd6f68.png",
    "website": "https://usekestrel.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kestrel is the AI automation layer for platform engineering teams.\r\n\r\nPlatform teams use Kestrel to automate incident response, cloud provisioning, CI/CD, security, and developer requests across their stack.\r\n\r\nKestrel turns natural-language prompts into deterministic, production-ready workflows with 40+ integrations, 200+ pre-built actions, and support for custom HTTP and webhook actions.\r\n\r\nDeveloper-first, with a CLI, Python SDK, and MCP server to manage workflows from where platform teams already work.",
    "one_liner": "AI Agents for Platform Engineering",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1761187283,
    "tags": [
      "AIOps",
      "Developer Tools",
      "DevOps",
      "Infrastructure"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/kestrel-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/kestrel-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      {
        "user_id": 2950276,
        "full_name": "Raman Varma",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO. Prev: CS @ Berkeley; ML @ Sky Computing / BAIR labs, Square, Coursera; SWE @ Illumio.\nBuilding Kestrel – AI agents for platform engineering teams.",
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      {
        "id": 104092,
        "title": "Kestrel - AI Agents for Platform Engineering",
        "tagline": "Automate incident response, CI/CD, developer requests, security, and more with AI agents that build deterministic workflows across your platform stack.",
        "body": "TL;DR: Kestrel turns natural-language prompts into deterministic, production-ready workflows that automate incident response, cloud provisioning, CI/CD, security, and developer requests. It supports 30+ integrations and is developer-first, with a CLI, Python SDK, and MCP server so you can manage workflows from where you (and your coding agents) already work. Build your first workflow in &lt;5 mins with $1,000 in usage credits at [usekestrel.ai](http://usekestrel.ai).\n\n<https://youtu.be/2y60CgQ-huM>\n\n**The Problem**\n\nCoding agents made every developer faster. But the platform team did not get faster with them.\n\nDevelopers now ship with Cursor/Claude/Codex and generate infrastructure, deployments, and provisioning requests at a rate no platform team was staffed for.\n\nAt illumio I once waited more than three weeks just to get Kafka clusters provisioned for a new service I was building. And provisioning is only part of it. The platform team is also on the hook for incident response when production breaks, repairing the CI/CD glue that ties the deployment pipeline together, platform security, and every \"can you just\" developer request in Slack.\n\nMost platform teams pick one of two bad options. They hand developers (and their agents) direct access to infra, CI/CD, and cloud accounts, and hope nothing breaks. Or they gatekeep and become the bottleneck every developer has to wait on.\n\nBuilding a platform that developers actually like has been a luxury only the largest engineering orgs could staff, and an understaffed platform effort usually does more harm than good.\n\n**The Solution**\n\nSee how it works: <https://youtu.be/g1dGUsuZgws>\n\nPlatform teams use Kestrel to automate incident response, cloud provisioning, CI/CD, security, developer requests, and more across their stack. You describe what you want to automate in plain English, and the Workflow Agent builds the whole thing. It draws from 140+ pre-built actions across 30+ integrations, plus custom HTTP APIs and webhooks for anything that isn't built in yet.\n\nOnce a workflow is configured it runs deterministically with no LLM deciding what to do at runtime.\n\nYou can define workflows that handle self-service developer requests without handing over the keys; scope who can trigger each workflow; fence it to specific clusters, cloud accounts, or repos; and require approval before anything touches production. Developers get a golden path without free rein, and the platform team keeps the guardrails without gatekeeping.\n\nKestrel analyzes your connected integrations and suggests ready-to-deploy workflows, and the Workflow Assistant turns your existing runbooks and scripts into production-ready automations, so you don't have to start from scratch: <https://youtu.be/IOoLb300rqE>\n\nEvery workflow you build in Kestrel is fully observable, with a dashboard that shows what's running, what's waiting on approval, and what failed; real-time step-level logs; and a failure diagnosis agent that fixes failed workflows for you: <https://youtu.be/SEInJ040ZVs>\n\nThe [Kestrel CLI](https://docs.usekestrel.ai/workflows/cli), [Python SDK](https://docs.usekestrel.ai/workflows/sdk), and [MCP server](https://docs.usekestrel.ai/workflows/mcp) let you and your coding agents build and manage workflows from the terminal and application code.\n\n**How It Works**\n\nFirst, connect your platform stack. Kestrel supports 30+ integrations across infrastructure, PaaS, AI compute, observability, on-call, networking, databases, CI/CD, and IaC:\n\n![uploaded image](/media/?type=post&id=104092&key=user_uploads/2950276/c11a044c-2df5-4c23-8035-5c23b99ad45c)\n\nThen, open the Workflow Agent and describe what you want to automate. Here are a few examples:\n\n* “When a PagerDuty alert fires for the production Kubernetes cluster, run root cause analysis, post the findings to #incidents in Slack, create a P1 Jira ticket, and apply the recommended fix after approval in Kestrel.”\n* “When a developer submits a cloud provisioning request in Slack, route it to the team lead for approval, provision the AWS resources with Terraform in the infra repo, and notify the developer once the pull request is merged.”\n\nEverything you do in the dashboard is available via the CLI/SDK/MCP. E.g. you can generate a workflow, activate it, and clear an approval from the terminal:\n\n![uploaded image](/media/?type=post&id=104092&key=user_uploads/2950276/e5c068f1-98e7-4e35-9e83-407f2d4807a6)\n\n**Ask**\n\nIf you're a platform engineer or eng leader tired of manually responding to developer requests, incidents, or CI/CD failures, you can try it yourself today with a 14-day free trial and $1,000 in usage credits. Use suggested workflows and the Workflow Assistant to build your first platform automations in minutes.\n\nIf you want to learn more about what onboarding looks like or dedicated infrastructure/on-prem deployment options, [book a demo](https://calendly.com/hello-usekestrel/30min) and I'll walk you through it.\n\n[Try Kestrel today](https://platform.usekestrel.ai/register)",
        "url": "https://www.ycombinator.com/launches/R4u-kestrel-ai-agents-for-platform-engineering",
        "votes": 20,
        "created_at": "2026-07-01T23:54:04.445Z"
      },
      {
        "id": 95330,
        "title": "Kestrel: AI Copilot for Kubernetes Ops & Security",
        "tagline": "Run Kubernetes securely and fix incidents in seconds, not hours.",
        "body": "Hey everyone, we’re [Raman](https://www.linkedin.com/in/ramanvarma/) and [Evan](https://www.linkedin.com/in/evanchopra/) from Kestrel 👋\\\n\\\n**TL;DR:** Kestrel helps teams using Kubernetes detect, investigate, and fix issues without manual firefighting. It monitors cluster health and security 24/7, finds root causes, and generates ready-to-apply YAML fixes - so incidents get resolved before you even reach for your laptop.\\\n\\\nLaunch video: https://youtu.be/HA2YziEBMVw\n\n**Ask:** If your team runs Kubernetes, we’d love to hear from you! You can reach out to us at [raman@usekestrel.ai](mailto:raman@usekestrel.ai) or [book a demo here](https://calendly.com/raman-usekestrel/demo). Or get started in minutes with a [14-day trial](https://platform.usekestrel.ai/register)!\n\n# **The** **Problem**\n\nRunning Kubernetes at scale is **chaos**.\\\n\\\nAs founding engineers on the Kubernetes Security team at Illumio, we saw both startups and large **organizations struggle with its complexity and scale**. For example, network policies are so tricky that many teams default to allowing everything, and even basic ops tasks like debugging failed rollouts mean spending hours digging through logs and events just to find where things went wrong.\\\n\\\nOver time, this complexity compounds and clusters begin to drift - configs diverge, policies break, and “temporary” workarounds become production. And when something goes wrong, **engineers are buried under alerts and reports** from disconnected tools, trying to debug blind at 3 a.m.\n\n# **Our Solution**\n\nKestrel is redefining how teams manage Kubernetes with the **first agentic platform that unifies ops and security**. It replaces manual triage with autonomous investigations and human-in-the-loop remediations - so issues that used to take hours to debug can be understood and fixed in seconds.\n\n💬 **AI Chat Assistant**: Investigate **any Kubernetes issue** across all of your clusters in plain English - skip the complex queries and context switching, and get answers with ready-to-apply YAML fixes from a single point of command.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/4cabf3fd-7053-4e7b-8562-4feaa5f72df4)\n\n🚨 **Incident Response**: Kestrel continuously monitors your clusters to detect incidents, trace root causes, and generate **YAML fixes that can be applied with a single click**. It's like having a dedicated on-call SRE team - without the burnout or headcount.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/218cbd5b-4100-4341-a02b-4b8ff04d5a26)\n\n🌐 **Topology Map**: Visualize your Kubernetes infra with classified intra-cluster, cross-cluster, and external traffic overlaid in real time.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/280f095a-4030-46bf-824e-1f0d421cf761)\n\n⚠️ **Risk Assessments**: Launch a swarm of specialized AI agents that discover vulnerabilities and provide **exact remediation steps** across network security, RBAC, privilege escalation, container image security and more. Validate fixes with a single click.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/53b80638-b9b4-4986-be1d-7a5ed6db5571)\n\n# **The Team**\n\n[Raman](https://www.linkedin.com/in/ramanvarma/) and [Evan](https://www.linkedin.com/in/evanchopra/) were founding engineers on Illumio’s Kubernetes team, where they built distributed systems to secure clusters for Fortune 500 companies.\\\n\\\nRaman previously worked on ML systems research at Sky Lab and BAIR. Evan was a security researcher during his Master’s in Computer Science, focusing on the Signal Protocol.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/7eeab8b1-9e35-4d4a-bac4-41b196c89fc7)\n\n",
        "url": "https://www.ycombinator.com/launches/Ona-kestrel-ai-copilot-for-kubernetes-ops-security",
        "votes": 37,
        "created_at": "2025-11-09T16:01:39.639Z"
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    "name": "Agentic Fabriq",
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    "website": "https://www.agenticfabriq.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Agentic Fabriq helps companies securely manage what AI agents can access and do across business tools, data, and teams. We give each agent an identity, scoped permissions, approval flows, and audit logs, so employees and customer-facing workflows can use agents without relying on shared API keys, overbroad service accounts, or one-off integrations.",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1762294029,
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    "year_founded": 2025,
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    "country": "US",
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      "name": "Harj Taggar",
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        "user_id": 2840984,
        "full_name": "Paulina Xu",
        "title": "Founder/CEO",
        "founder_bio": "AI + Physics @ MIT, working on Agentic Fabriq (security middleware for all agentic communication)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/paulina-xu-5bba0821b?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
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        "user_id": 2459873,
        "full_name": "Matthew Xu",
        "title": "Founder",
        "founder_bio": "Dropped out of MIT at 19. Building Agentic Fabriq, the security layer between agentic applications and tools.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/matthew-xu-b32a36271",
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      {
        "id": 98377,
        "title": "Agentic Fabriq: Okta for Agents",
        "tagline": "The central hub for agent identity, governance, and visibility. ",
        "body": "Hey everyone! This is Paulina & Matthew from Agentic Fabriq. \n\n**TL;DR:** AI agents are entering production — but identity systems weren’t built for them. Agentic Fabriq is the identity and governance layer built specifically for AI agents.\n\nOur launch video: <https://youtu.be/6_iIijfy0Mg?si=YMEZHYwgIa8obZ8T>  \n\n![uploaded image](/media/?type=post&id=98377&key=user_uploads/2840984/7ee786fe-0377-4c6d-9e0e-e8032c2998a7)\n\n\n**The Problem**\n\nAgents are moving fast. Security isn’t.\n\nTeams are shipping AI agents that call tools, trigger workflows, access internal data, and act on behalf of users. But the identity layer underneath them was designed for humans logging into apps — not autonomous software acting across systems.\n\nToday, teams hardcode tokens into workflows, drop user identity once an agent runs, and re-implement OAuth for every integration. Security teams lose visibility into what agents are accessing and doing, and no one can confidently answer a simple question: **who did this agent act for?**\n\nOAuth, IAM, and IdPs were built for humans and apps. They were never designed for agents calling tools, calling other agents, and operating autonomously across environments. Engineers get stuck rebuilding auth, IT struggles to govern permissions, and security teams are left without clear audit trails.\n\n**What We Built**\n\nAgentic Fabriq is the identity, governance, and visibility layer for AI agents.\n\nWe sit in the middle of every agent’s calls and manage both agent identity and user identity. We handle token exchange and authentication, enforce least-privilege access, and enable fine-grained, per-user permissioning for every agent. Every action is logged centrally for audit and compliance.\n\nInstead of wiring OAuth, scopes, and policies for every agent and every workflow, you call us once.\n\nYou connect your tools, register your agent, define the permissions — and we handle identity propagation, authorization, and logging.\n\nHere’s a demo of our permissioning feature with OpenWebUI: <https://youtu.be/ayiZ_7d7jCY?si=M3UK8d1B0tvt-8wE>\n\n**What This Enables**\n\n* Per-user agent access\n* Agent + user pair permissioning\n* Full visibility across tools and workflows\n* Instant revocation and policy control\n* Compliance-ready audit trails\n\nWe make it easy for companies to make their agents secure.\n\n**Why Now**\n\nEvery major computing shift forced identity to evolve. \n\nSaaS required SSO. \n\nCloud required IAM. \n\nAPIs required OAuth. \n\n\\\nAgents are the next shift – and they need their own security platform. \n\nWe’re building it.\n\n**Our Ask**\n\nIf you’re building internal agents, shipping AI into enterprise, or thinking about agent governance and security, we’d love to talk.\n\n**CONTACT**\n\n* email us: [founders@agenticfabriq.com](mailto:founders@agenticfabriq.com)\n* book a meeting: <https://calendly.com/paulinaxu/agentic-fabriq-meeting>\n* website: <https://www.agenticfabriq.com>\n\n**TEAM**\n\nPaulina and Matthew met @ MIT admit weekend and have been friends since. They dropped out before their second year to work on Agentic Fabriq\n\nPaulina was studying AI + Physics and doing CS/ML research at MIT Kavli Institute, MIT Haystack Observatory, and INAF Padua.\n\nMatthew was studying AI + Math and doing CS/Econ research at MIT Futuretech Lab and Computational Biology research at MIT CSAIL.",
        "url": "https://www.ycombinator.com/launches/Paj-agentic-fabriq-okta-for-agents",
        "votes": 9,
        "created_at": "2026-03-03T01:46:49.295Z"
      },
      {
        "id": 95246,
        "title": "Agentic Fabriq: Okta for Agents",
        "tagline": "Power your AI with governed data",
        "body": "Hey everyone! This is [Paulina](https://www.linkedin.com/in/paulina-xu-5bba0821b/) & [Matthew](https://www.linkedin.com/in/matthew-xu-b32a36271/) from Agentic Fabriq.\n\n**TL;DR:** Agentic Fabriq is Okta for agents. Fabriq ensures that employees can’t access data or do actions with agents that they themselves would not have permissions to do.\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/d57b9148-8a8a-44a0-8c53-1292f611641b)\n\nOur launch video:[ https://youtu.be/V4dTw58ZeTQ?si=ykoz3x06_fTgEXeK](https://youtu.be/V4dTw58ZeTQ?si=ykoz3x06_fTgEXeK)\n\nThe field of agentic AI is brand new, and everyone is rushing to build and ship their own agents. But there’s a critical gap appearing: **how do you guarantee an agent can’t do more than the employee using it?**\n\n**THE PROBLEM**\n\nAI is rewriting how work gets done, but most companies still can’t let every employee harness it with **their own, permissioned data**. The market is full of tools and agents, but **the core organizational layer is missing**. There’s no unified place to enforce per-user + least-privilege access, separate tenants, or audit what an agent did, with which user, and why, across all of your internal agents and tools.\n\nToday, there’s only scattered solutions to this with identity and permission systems that were built for humans, not for agents acting as humans. Agentic Fabriq solves this issue **for the first time** by giving IT and admins a way to ensure their agents are always constrained to the **exact permissions of the employee asking** - no more, no less.\n\n**OUR SOLUTION**\n\nAgentic Fabriq is the secure fabric that simplifies data permissioning for all your agents, tools, and employees. We handle the auth & integration so IT & admin can manage employee permissions, agent permissions per employee, and tool connections. We’ve solved the security and identity hurdles so you can connect to a tool in minutes and personalize **what your agents can do and access per user**.\n\nOn Fabriq,\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/07608446-8a9e-4906-88ff-57c9bd5cb1d4)\n\nregister a tool connection,\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/8e2c2fb2-38b9-4253-b87a-5894da56de89)\n\nregister your own AI/agents,\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/f703ec51-0cd0-47e3-99ca-8d330c6fe157)\n\nand manage your entire organization\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/6b9fad2b-5606-4ed6-8e3f-af21f966357b)\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/4bbadb2e-6cb7-4858-9343-0b63b8938458)\n\n**we made it as simple as that.**\n\nAgentic Fabriq provides users with:\n\n* **per-user connections**: connect your own account to approved tools - no shared creds\n* **org-wide controls**: define what internal agents/apps can access & which employees can use them\n* **least-privilege by default**: access is scoped & revocable, with centralized policy\n* **full visibility**: every action is logged for audit & compliance\n* **prebuilt connectors**: add tools fast without rebuilding auth & permissions each time\n\nThis allows teams to make the most use of AI with exactly the data they’re allowed to use - **safely, auditable & at scale.**\n\n**OUR ASK**\n\nIf you or anyone you know would like to be early adopters of Fabriq, book a call with us or send us an email!\n\n**CONTACT**\n\n* email us: [founders@agenticfabriq.com](mailto:founders@agenticfabriq.com)\n* book a meeting:[ https://calendly.com/paulinaxu/agentic-fabriq-meeting](https://calendly.com/paulinaxu/agentic-fabriq-meeting)\n* website:[ https://www.agenticfabriq.com](https://www.agenticfabriq.com)\n\n**TEAM**\n\nPaulina and Matthew met @ MIT admit weekend and have been friends since. They dropped out before their second year to work on Agentic Fabriq\n\nPaulina was studying AI + Physics and doing CS/ML research at MIT Kavli Institute, MIT Haystack Observatory, and INAF Padua.\n\nMatthew was studying AI + Math and doing CS/Econ research at MIT Futuretech Lab and Computational Biology research at MIT CSAIL.",
        "url": "https://www.ycombinator.com/launches/OmE-agentic-fabriq-okta-for-agents",
        "votes": 18,
        "created_at": "2025-11-06T20:55:28.851Z"
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    "id": 30907,
    "name": "Logical",
    "slug": "logical",
    "former_names": [
      "Ignotus"
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    "website": "https://logical.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Logical is a desktop AI that acts as a proactive and largely promptless copilot, designed to reduce the friction of using AI for everyday tasks. It transfers context across apps, and allows taking action on many apps with just a few clicks. Logical can assist with drafting emails, writing docs, noting meetings and can even automatically detect action items. Need to prompt? Logical can understand intent in much fewer words than a regular chatbot. Plus, user data is never sent to Logical servers. Logical is the AI resurrection of Clippy, but actually good.",
    "one_liner": "A proactive desktop copilot. Clippy, but actually good.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1761643617,
    "tags": [
      "Consumer",
      "B2B",
      "Productivity",
      "AI",
      "AI Assistant"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/logical",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/logical.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/trylogical",
    "x_url": "https://x.com/trylogical",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fb6ea58cacd2d7637cd441b73c8f2e6da92ae97.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 2175254,
        "full_name": "Sam Karu",
        "title": "Founder/CEO",
        "founder_bio": "Sam is a co-founder and CEO of Logical. He was a PhD dropout from UCLA before joining NVIDIA. At UCLA, Sam conducted research on AI applications in wireless and cellular domains, across both discriminative and generative models. At NVIDIA, he worked on AI inference and model optimizations for specific hardware. Sam is the best performing Sri Lankan in the history of both the International Physics Olympiad and Asian Physics Olympiad. ",
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        "full_name": "Anushka Idamekorala",
        "title": "Founder/CTO",
        "founder_bio": "Anushka is a co-founder and CTO of Logical. After three years leading B2B SaaS engineering teams, he enrolled in the University of Virginia (UVA) where his research focused on context-aware time-series forecasting.\n",
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      {
        "id": 95304,
        "title": "Logical: The Proactive Desktop Copilot",
        "tagline": "Logical makes every knowledge worker 5x productive",
        "body": "Hi everyone,\n\nWe’re [Sam](http://linkedin.com/in/samurdhilbk) and [Anushka](http://linkedin.com/in/anushkaidamekorala/), co-founders of [Logical](https://trylogical.ai).\n\n**TL;DR:**\n\n**Logical is a copilot that lives on your desktop and proactively assists with things like drafting emails, meeting insights and tracking to-do items.**\n\nInstead of waiting for you to prompt, Logical suggests context-aware actions in many common apps and services. It’s like Clippy, but actually good.\n\nhttps://youtu.be/XfyPZb14LZM?si=aaJMF37-ipwkJBDV\n\n### Problem\n\nPrompt-first AI is fundamentally flawed. We waste hours every week writing lengthy prompts, context-switching and copy-pasting to get a chatbot to understand what we're doing. The context surrounding our work (emails, meeting notes, knowledge bases etc.) lives in siloed services that don't talk to each other. A truly helpful AI must live where we work: on the desktop.\n\n### Solution\n\nLogical lives on your desktop, observing your work to build an understanding of your intent and the context that surrounds it. As you switch between apps and tabs, Logical transfers that context with you.\n\nIt proactively suggests actions based on what you're doing—whether you're in Gmail, Slack, or Excel. This turns Logical into an all-in-one assistant: it's your email drafter, to-do manager, AI note-taker, and chatbot, all combined.\n\n**📨 Email & Messaging Assistant:** Get quick drafts. Fine-tune, revert, and apply. Works with Gmail, Slack, iMessage and Apple Mail.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/ab0e8f09-c58c-45d7-8eef-0be23b97d326)\n\n**✅ Automatic To-Do Detection**: Detects and drafts deliverables. Plus, it reminds you to get those done.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/afe169f0-7103-4fe7-aec1-a17e72157c74)\n\n**🪄 Logical Lumos:** Get real-time assistance on any task. In Excel, it can suggest formulas and analyze errors; in a doc, it can explain terms as you highlight them. \n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/596d5046-364b-43b4-86c1-b63ea1b82b1a)\n\n**🔗 Connect your services:** Bridge Gmail or your Calendar for deeper context. Search your email with natural language, or get quick calendar availability lookups.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/2b2a7df8-ff33-41f7-8770-5878ab4070af)\n\n### Our story\n\nSam and Anushka have been friends since they met in grade school at 6 years old.\n\nBefore Logical, Sam worked on AI model optimizations at NVIDIA and previously dropped out of a PhD in applied AI. He's a medalist at both the IPhO and APhO and received a President’s Award for Scientific Research from the Government of Sri Lanka. Anushka dropped out of his PhD in context-aware predictive AI at UVA, and previously led B2B SaaS engineering teams.\n\nWorking in both academia and industry, we saw firsthand how most AI tools create friction and frustrate users. Our unique backgrounds – context-aware AI and AI model optimization – convinced us that an AI agent that lives on the desktop can identify user intent and provide proactive help, without compromising on speed or quality.\n\n### Our Ask\n\nIf you're reading this, Logical can help you (yes, you!) get more done. Try it out at [**https://trylogical.ai**](https://trylogical.ai) – we offer generous free credits. Help us with feedback on how Logical can better fit your workflow.\\\n\\\nIf you’re an enterprise, help your team miss fewer deadlines and spend less time context-switching. Plus, you can stop paying for 10 different AI add-on subscriptions – Logical can do it all. Contact us at [**hello@trylogical.ai**](mailto:hello@trylogical.ai) to learn more and book a demo.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/bd182517-615e-4efe-8de7-18985fd8fa32)\n\n",
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    "long_description": "Redapto builds the intelligence that runs the real world, closing the gap between understanding and execution. By combining real-time context, specialized AI agents, and adaptive orchestration, Redapto takes ownership of complex, mission-critical operations from end to end. Acting as an always-on operational brain, it coordinates across people and systems, improves every decision, and grows more capable with every task.",
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        "full_name": "Anirudh Pupneja",
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        "founder_bio": "CEO @ Redapto (YC F25). Previously built the Generative AI platform at Coinbase.",
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    "year_founded": 2025,
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    "country": "US",
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        "full_name": "Lewis Lien Polansky",
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        "full_name": "Edgar Babajanyan",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Captain | Published AI NLP Researcher | Built OCR engines @ Boar's Head | Scaled high-performance RAG pipelines for the past 4 years | Built a Cross Region L2 Datacenter",
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        "title": "Captain - The Reliable Alternative to RAG",
        "tagline": "Search files with much higher accuracy than RAG (Avg improves 78% → 95%)",
        "body": "**TL; DR**: Captain delivers **the most accurate** general-purpose **knowledge search** engine **ever built.** \n\nIf you need to search through large text or multimodal files, and:\n\n* Don’t have time for **a tedious RAG sprint** -or-\n* Your current search pipeline lacks accuracy\n\nWe should talk. → [runcaptain.com/sales](https://runcaptain.com/sales?utm_source=ycombinator&utm_medium=launchyc&utm_campaign=launchyc&utm_content=weshouldtalk1) or [founders@runcaptain.com](mailto:founders@runcaptain.com)\n\nhttps://www.youtube.com/shorts/RxMPHqou94o\n\nIn a world where **90% of enterprise knowledge** cannot be stored in traditional databases, this ‘unstructured data’ is an **untapped goldmine** for decision-making. \n\nThe issue is that current RAG solutions have poor retrieval quality overall and are only performant on pre-optimized question types. \n\n![uploaded image](/media/?type=post&id=95291&key=user_uploads/2044865/425e4da0-2c47-43ea-a2c5-5dc32b2168fd)\n\n**Captain** unlocks **better responses** thanks to an effectively **Infinite Context window**. We distribute it across many LLMs in parallel + some embeddings sprinkled in, and then ‘Map-Reducing’ responses down to a single output.\n\n![uploaded image](/media/?type=post&id=95291&key=user_uploads/2044865/4be36851-322b-4836-be35-8e447cea51cd)\n\nWithout context limits, we have great freedom to optimize our retrieval engine for maximal accuracy. We can now play with a truly dynamic top-k or just run the LLM exhaustively (if a full knowledge audit is needed).\n\n![uploaded image](/media/?type=post&id=95291&key=user_uploads/2044865/e373def8-4aec-4add-b2a6-7d5fd9a02cb3)\n\n**We’re two lifelong builders** obsessed with data! \n\n* Lewis (right) solved hallucinations for code generation through his previous startup. \n* Edgar (left) researched NLP+AI and has built production RAG pipelines for the past 3 years.\n\nWe’ve seen the pains and limits of these systems from the start, and **the industry is primed for a more accurate alternative.** \n\nThis past summer, we met with every engineer we could at **Snowflake** and **Databricks**, and we kept hearing the same thing again and again: \n\n> There’s **no good** scalable **unstructured** data **search**.\n\nUntil **today**.\n\n**Captain abstracts the engineering of retrieval entirely.** Connecting files is all that’s needed, and we’ll beat your RAG's accuracy. Guaranteed. \n\n**Our Ask**\n\nIf you know a **CTO** or **Head of AI** at a mid-market or enterprise **AI-native** (or are building one yourself), we would love an introduction!\n\nCheck us out at [RunCaptain.com](https://runcaptain.com?utm_source=ycombinator&utm_medium=launchyc&utm_campaign=launchyc&utm_content=website)\\\nor reach us directly through [founders@runcaptain.com](mailto:founders@runcaptain.com)\\\n\\\nHappy Shipping! 🚢",
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    "long_description": "Rovr streamlines engineering operations by automating intake, triage, routing, and cross-team coordination. It replaces internal forms, manual Slack triage, and scattered docs with an AI front desk that understands requests, assigns owners, updates context, and posts status changes directly into Slack. Rovr’s built-in ops CRM gives teams a single system of record for eng requests — from tooling access to platform incidents to dev-infra workflows — reducing operational drag across the entire org.",
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1761690618,
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        "full_name": "Nithik Yekollu",
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    "year_founded": 2025,
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        "full_name": "Anas Bouassami",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Bravi (YC F25), the AI communication platform for home service companies. \nAlongside Bravi, he also runs Volet Dumont, an online rolling shutter business that serves as a live testing ground for Bravi’s technology and customer workflows.\nHe previously co-founded Snipfeed in 2017, where he scaled the company to 20+ employees before its acquisition in 2024. \nAnas holds a Master Degree from UC Berkeley and a Bachelor of Science in Mechanical Engineering from EPFL.",
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        "user_id": 231673,
        "full_name": "Pierre-Habte Nouvellon",
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        "id": 94602,
        "title": "Bravi - AI voice and chat assistants for home service companies",
        "tagline": "The AI assistant that helps home service companies capture every lead",
        "body": "👋 We’re [Pierre-Habté](https://www.linkedin.com/in/pierre-habte-nouvellon/) & [Anas](https://www.linkedin.com/in/anas-bouassami/) from [Bravi (F25)](https://bravi.app/) and we are bulding AI voice and chat assistants for home service companies.\n\nyoutube.com/watch?v=Zl3jtIK_yco&feature=youtu.be\n\n**TL;DR:** Bravi builds **AI voice & chat assistants** for home service installers (shutters, solar, HVAC, carpentry) and manufacturers. We help them capture every lead, follow up instantly, and close more jobs.\n\n### **Problem**\n\n**Missed revenue**\n\nMost installers and manufacturers selling directly to consumers lose **30–40% of potential revenue** because they miss calls, don’t answer emails, and fail to respond to chats in time. Every unanswered lead is lost business.\n\n**Broken communication workflows**\n\nSales, admin, and field teams rely on **manual callbacks, scattered inboxes, and slow CRMs**, which makes it impossible to respond instantly or follow up consistently. That lag costs them real money.\n\n**Tools not made for them**\n\nGeneric chatbots and call centers don’t understand **home service workflows** — quotes, site visits, or product specs — leaving customers frustrated and companies unable to scale efficiently.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/5c45980d-e8ee-4351-bb93-f7f115717a92)\n\nBravi fixes this with AI agents that:\n\n* **Answer calls & chats** 24/7\n* **Pre-qualify leads** (project type, urgency, location)\n* **Book** **callbacks** for the team\n* **Create tasks & reminders** for team members to ensure follow-through\n* **Generate** and **Send** **quotes** automatically\n\n### **Our Story**\n\nThis isn’t theory. We (Anas & Pierre) met at UC Berkeley in 2017. After co-founding and scaling our first startup to 20+ employees (acquired in 2024), we wanted to build again, this time in a space we knew personally.\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/4bd905c2-fa8c-4c65-91dc-f0891a474e13)\n\nAnas grew up in a **family shutter installation business** and later launched an **online shutter e-commerce store** (Volet Dumont). Both showed us the same pain: installers drowning in leads, but losing 30–40% of potential revenue.\n\nThat’s how **Bravi** was born.\n\n### **🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know **installers, manufacturers, or contractors** in home services (shutters, solar, HVAC, carpentry…) who struggle with missed calls or slow follow-ups?\n\n  👉 Invite them to test **Bravi** for free at [www.bravi.app](http://www.bravi.app)\n* Can you introduce us to **B2B2C manufacturers** selling directly to consumers who could benefit from AI assistants handling their inbound calls, chats, and emails 24/7?\n* Are you working with or know **digital agencies** or **industry partners** that build websites for installers and could integrate Bravi’s AI assistants into their clients’ sites?\n\n💬 We’d love to connect — every intro or feedback helps us make sure **no home service business ever loses a lead again**\n\n📩 Reach us anytime at [**anas@bravi.app**](mailto:anas@bravi.app)\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/0ee0d771-04a0-4722-b59f-761dfd5ecbcf)\n\n",
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        "created_at": "2025-10-13T17:33:41.518Z"
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        "full_name": "Leo Schuhmann",
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        "founder_bio": "Helping enterprises win across markets. \nTech & Consulting Background.",
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        "full_name": "Matthias Schneider",
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        "url": "https://www.ycombinator.com/companies/complydo/jobs/oA2oHJC-engineer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
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        "id": 94528,
        "title": "ComplyDo 🌎: Automating how enterprises comply with hundreds of global regulations",
        "tagline": "More Comply, Less Do.",
        "body": "Hi, we’re [**Leo**](https://www.linkedin.com/in/leo-schuhmann-324927182/), [**Moritz**](https://www.linkedin.com/in/moritz-moser-99b3a320a/) & [**Matthias**](https://www.linkedin.com/in/matthias-schneider-134391223/), launching [**ComplyDo**](https://www.complydo.io/).\n\n# **TL;DR**\n\n**ComplyDo automates how enterprises comply with hundreds of global regulations.** Already used by leading global players to replace months of manual work, reduce consulting hours, and accelerate market access.\n\n**Ask:** Can you introduce us to compliance, GRC, or audit leaders at enterprises and consultancies? We can help them a lot. Contact: [**leo.schuhmann@complydo.io**](mailto:leo.schuhmann@complydo.io)\n\nhttps://www.youtube.com/watch?v=qDvBicSeQ0U\n\n# The problem\n\nEnterprises face an explosion of global regulations and standards. ISO, PIPL, NIS2, PCI, DORA, and many more. Due to this complexity, compliance, legal, and audit teams still handle most of the work manually or through consultants: mapping requirements, reviewing policies, collecting evidence, and maintaining spreadsheets. It’s slow, expensive, and limits how fast companies can move.\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/89a03819-0f69-4e68-aa22-0694b846409b)\n\n---\n\n# The solution\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/9057684c-921e-4d4a-adf8-42f72b97f822)\n\n**ComplyDo** automates this painful process. Upload any regulation, standard or requirement file. Our system:\n\n1. Extracts requirements and obligations\n2. Maps them to your internal controls and policies\n3. Identifies gaps and next steps\n4. Monitors changes across frameworks\n\nAlready **used by global enterprises**, ComplyDo helps organizations stay compliant continuously and scale across markets. **Without** a fleet of consultants.\n\n---\n\n# How we got here\n\nWe’ve worked across consulting, software development, and AI, and saw the same issue in every global company. Starting with some of the world’s most innovative enterprises, we went deep into their GRC processes and shifted manual work from compliance teams and consultants to our models. It became the foundation for faster, smarter global governance.\n\n---\n\n---\n\n# Call to action\n\nWe’re expanding with enterprises, innovative consultancies, and certification bodies. **If you work in GRC, internal audit, or cyber/IT compliance**, we’d love to connect! We go above and beyond to eliminate slow, manual work. If someone in your network could benefit, an intro would mean a lot.\n\n📩 [**leo.schuhmann@complydo.io**](mailto:leo.schuhmann@complydo.io)\\\n🌐 [complydo.io](http://complydo.io)\n\n---\n\n**More Comply. Less Do.**\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/d3081360-af6f-4fed-adda-c726d5037ccd)\n\n",
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    "name": "Codyco",
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    "long_description": "€5,000 in additional bookings. In 4 weeks. For a 53-room hotel.\r\n\r\nWe help hotel groups turn missed calls into bookings.\r\n\r\nThis it how it works: \r\n\r\n- They send their missed calls to us.\r\n- Our AI answers and takes the booking.\r\n- The booking goes right into their PMS.\r\n\r\nEven with call centers and central reservation departments they are still losing 5% of calls. \r\n\r\nThat is a seven figure revenue leak. \r\n\r\nWhy us? \r\nWe used to build software that can’t fail for massive companies. We started Codyco after a friend told us how much money he was losing from missed calls. We built the first version just for him.\r\n\r\nNow we give hotel groups the reliable AI they need, so they never lose a booking on the phone again.",
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    "team_size": 4,
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        "full_name": "Stefan Schaff",
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        "full_name": "Endrit Bytyqi",
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        "founder_bio": "Alex is the Co-founder of Codyco, based in Munich. A builder at the intersection of AI, knowledge graphs, and product, he grew a single €60k PoC into an enterprise initiative with €500k+ in signed contracts and a >€1M pipeline, standardizing processes across 17 business units for rollout to 50,000 employees. Earlier at Siemens, he developed one-class anomaly detection for federated learning (PyTorch, Ray) and helped launch the “Tech for Sustainability” program—personally raising €25k and scaling",
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      {
        "id": 94743,
        "title": "Codyco: AI Receptionists for Hotel Groups",
        "tagline": "We help hotel groups turn missed calls into bookings!",
        "body": "# **We made $5,000 in additional bookings. For a tiny 53-room hotel. In just 4 weeks.**\n\n_Watch our Launch Video - [here](https://youtu.be/A7g1MlJDIZ0)_\n\n**Here's how.**\n\n* They forwarded missed calls to us.\n* Our AI answered.\n* They saw bookings appear in their PMS.\n\n6 months after starting we **_already work with 7 hotel groups._**\n\nThe results have been incredible, and that $5k is just one example. For another one **_listen to Felix from the Revo Munich in the Video!_**\n\nThe reason being that even the best central reservation offices and call centers miss 5% of their calls.\n\nAfter hours. During peak hours. On holidays.\n\nFor a mid-sized hotel group, that's a seven-figure \"rounding error.\"\n\nThat’s why we build an AI Receptionist that helps hotel groups turn missed calls into bookings.\\\n\\\n\\_\\_\n\n**🎉 To celebrate, we're offering a one-time AI Ambassador Partnership:**\n\n**→ AI Strategy Workshop** — free (no strings)\n\n**→ Zero Risk Pilot with Codyco** → Money-back if you’re unhappy; if you’re happy, Pilot fee is credited toward your account.\n\n**→ Commit to a roll-out of &gt; 10 hotels** → get 3 hotels free for 3 years (license fees waived)\n\nThe offer closes in 7 days. Details [here](https://www.notion.so/AI-Ambassador-Partnership-Terms-28d0ec9f0e6d80b0b6cedcd4d23628be?pvs=21)\\\n\\\n\\_\\_\n\n**📣 Want to help us?**\n\nIf you know somebody in hospitality, help us get this to the right people.\\\n➡️ Check the list below, any connection is highly appreciated!\n\nIf you are a leader in a hotel group, let’s have 10 minute chat: \\\n➡️ Schedule here: [**https://cal.com/alex-schober/ai-ambassador-partnership**](https://cal.com/alex-schober/ai-ambassador-partnership)\\\n\\\n**\\___\\_**\n\n→ Drury Hotels: [**https://www.linkedin.com/company/drury-hotels/people/**](https://www.linkedin.com/company/drury-hotels/people/%5C**)\n\n→ Hilton: [**https://www.linkedin.com/company/hilton/people/**](https://www.linkedin.com/company/hilton/people/%5C**)\n\n→ Aimbridge Hospitality: [**https://www.linkedin.com/company/aimbridge-hospitality/people/**](https://www.linkedin.com/company/aimbridge-hospitality/people/%5C**)\n\n→ Choice Hotels: [**https://www.linkedin.com/company/choice-hotels-international/people/**](https://www.linkedin.com/company/choice-hotels-international/people/%5C**)\n\n→ Sonesta: [**https://www.linkedin.com/company/sonesta-hotels/people/**](https://www.linkedin.com/company/sonesta-hotels/people/**)",
        "url": "https://www.ycombinator.com/launches/Oe7-codyco-ai-receptionists-for-hotel-groups",
        "votes": 14,
        "created_at": "2025-10-19T21:45:53.736Z"
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    "all_locations": "San Francisco, CA, USA",
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    "team_size": 15,
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    "subindustry": "B2B -> Legal",
    "launched_at": 1758861304,
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    "country": "US",
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        "id": 95269,
        "title": "Lexi: AI Associates for Law Firms & Legal Teams",
        "tagline": "Scale your practice without scaling overhead",
        "body": "Hi everyone! We’re [Harshit](https://www.linkedin.com/in/harshitgarg03/) and [Kiran](https://www.linkedin.com/in/kiranmohanb/), and we’re building Lexi - AI Associates for law firms & legal teams\n\n### **TL;DR**\n\nLaw firms & legal departments spend countless hours drafting, reviewing, organizing, and managing documents.\n\nUnlike other LegalTech tools, Lexi integrates directly into your workflow, acting as an AI associate that learns your team’s standards, tone, and processes to handle your workflows end to end.\n\n**Lexi saves lawyers 10+ hours of manual work every single week.**\n\n[Lexi Launch Video](https://youtu.be/3LSrawsmCfI)\n\n### 🔴 **The Problem**\n\nLawyers are drowning in low-leverage work.\n\n70% of a lawyer's day is spent on tasks that don't require legal expertise: summarizing documents, drafting routine correspondence, building chronologies, organizing files.\n\nExisting tools don't solve this—they're point solutions that force lawyers to juggle between multiple platforms and subscriptions, slowing them down instead of speeding them up.\n\nThe result? Clients wait for updates, strategy gets postponed, and burnout rises. Even top-tier firms struggle to scale without adding headcount.\n\n---\n\n### 🟢 **The Solution**\n\nLexi doesn't just \"help\" with legal work—it does the work. From intake to delivery, Lexi acts as a trained associate that learns your firm's style, standards, and processes.\n\n**What used to take 8 hours now takes 20 minutes.**\n\n**Document Intelligence**\\\nTransform scattered emails, PDFs, and transcripts into organized, searchable case files. Analyze thousands of documents and extract key information with reliable accuracy.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/de522fac-c1ec-4375-a762-74e096a803f6)\n\n**Drafting**\\\nGenerate polished first drafts of pleadings, contracts, and letters in your firm's voice. Lexi learns your writing style and standards to produce documents that need minimal editing.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/f2be1518-b09f-4069-8f0f-7d2f4b693fdc)\n\n**Contract Review**\\\nReview agreements against your firm's playbooks and flag risky clauses automatically. Lexi learns from your past reviews to improve recommendations and match your standards over time.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/c5c1a104-ed80-4e30-8a1d-1111270646a7)\n\n**Chronology Builder**\\\nBuild comprehensive timelines from thousands of documents. Extract dates, facts, conflicts, and citations instantly—perfect for depositions or trial prep.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/6b475d7c-a3f7-45c6-90d3-35fe6c15124f)\n\nThe best part: Lexi **Integrates seamlessly** with the tools you use daily: Microsoft Word, Outlook, Google Docs, iManage, and more. No new systems to learn. No workflow disruption.\n\n**The impact?** Firms using Lexi take on **25% more cases without new hires**—reclaiming 10+ hours per lawyer per week.\n\n---\n\n### 🔵 **The Team**\n\nWe've lived this problem from both sides—legal practice and AI engineering.\n\n**Harshit Garg** (CEO) — Practiced law at top firms where he watched talented lawyers lose hours to repetitive work. Built Lexi to give that time back.\n\n**Kiran Mohan** (CTO) — Former Engineering Manager at Ethlas and Shopee. Built AI systems and infrastructure at scale for millions of users. Now building the AI associate every law firm needs..\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/d9190728-ed4d-4e12-acd0-a4cedbd871fe)\n\nWant to see Lexi in action? Book a demo here: [getlexi.io](http://getlexi.io) or reach us at [founders@getlexi.io](mailto:founders@getlexi.io)",
        "url": "https://www.ycombinator.com/launches/Omb-lexi-ai-associates-for-law-firms-legal-teams",
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        "created_at": "2025-11-06T19:17:07.374Z"
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        "full_name": "Jonathan Miranda",
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        "body": "**TL;DR**\n\nCompyle is the coding agent that actually collaborates. It doesn’t just guess what you mean - it asks, plans, and checks in before writing a single line of code. That means you can trust it with bigger and more ambiguous projects than any other coding agent.\n\nhttps://youtu.be/iNQ8G4k03gc\n\n🙏 **Our ask**\n\n**Try our beta today at [compyle.ai](http://compyle.ai)** and let us know what you ship! \n\nJust connect your Github, select your repos, and create a task to get started.\n\n❌ **The Problem**\n\nToday’s coding agents - like Codex, Claude Code, and Devin - excel at small, well-defined tasks. Their autonomous design works best for jobs that need little clarification, such as updating libraries or making simple UI edits.\n\nBut full autonomy becomes a weakness for open-ended work like building new features or products. These agents often press ahead despite unclear or conflicting requirements - and even when they succeed, the resulting code may be hard for teams to understand.\n\nGood engineers know to clarify requirements before coding, check in with product owners to confirm goals, and collaborate with peers to ensure quality. Coding agents should do the same.\n\n🚀 **How Compyle solves this**\n\nCompyle keeps you in full control through a question-driven approach. You describe the task, then Compyle asks questions until it understands what you want to build. It produces research and planning artifacts before writing any code.\n\nDuring implementation, Compyle validates its changes against your decisions. If something doesn't match up, it stops and asks rather than pushing forward. You stay in the driver's seat the entire time.\n\n![uploaded image](/media/?type=post&id=94565&key=user_uploads/2234809/82738600-0f9c-4de5-ab79-57f7cb4424bb)\n\n\n**Our story**\n\nBefore Compyle, we were building SmartAppetite (AI agents for insurance). Using tools like Claude Code and Cursor, we had a demo in days - then spent weeks cleaning up a codebase we no longer fully understood.\n\nWe had to pause feature development just to refactor. That pain is why we built Compyle.",
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        "full_name": "Janet Liu",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Oxus. MIT B.S. in Computer Science, Economics, Data Science and in Finance. Prev: digital payments research at the Federal Reserve; investment strategy at D.E. Shaw.",
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        "full_name": "Melinda Liu",
        "title": "Founder/COO",
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        "founder_bio": "Co-founder and CTO of Oxus. MIT B.S. in Artificial Intelligence. Prev: built ML systems for early- and growth-stage startups; consulting at BCG and NERA.\n",
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        "url": "https://www.ycombinator.com/companies/oxus/jobs/edLPXRJ-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "id": 96466,
        "title": "Oxus: AI-native automation for SOX audits",
        "tagline": "Modern intelligence for better audits",
        "body": "Hi all, \n\nWe’re [Janet](https://www.linkedin.com/in/liujanet8/), [Christine](https://www.linkedin.com/in/christinewatts2018/), and [Melinda](https://www.linkedin.com/in/melinda-314-liu/) - a team from MIT building [Oxus](https://www.oxus-ai.com/).\n\n**TL;DR:** With [Oxus](https://www.oxus-ai.com/), internal audit teams save millions in outsourcing fees and get audits done 10x faster. Reach out if you are/know of any internal auditors! \n\nhttps://youtu.be/gmgO_Pa-vZk\n\n**❌ The problem**\n\nPublic companies are required to prove their financial reporting and underlying processes - from payments to system access - work as expected. Today, that work is **highly manual and costly**:\n\n* **Weeks spent scoping what to audit**, assessing risk across financial statements, sub-accounts, and business units\n* Meeting with stakeholders, then spending **5-15 hours to turn notes into a flowchart** visualizing each process\n* Digging through **spreadsheets, PDFs, screenshots, and emails** to find relevant evidence\n* **Thousands of hours/year repeating the same checks**: sifting through 200-page documents for signatures, matching orders to invoices, reviewing system access for hundreds of employees, etc\n\nAnd it costs **$200–$800/hour** to outsource this work to outside accounting/consulting firms, adding up to **$300K–$1M+ per year** in annual spend.\n\n🐂 **The solution**\n\nWhat Oxus enables:\n\n* **Accelerate audit scoping**, automatically surfacing higher-risk areas using both financial metrics and qualitative factors\n* **Within minutes**, **generate and update process flowcharts** immediately after meetings\n* **Simplify evidence review**, so teams can locate and interpret information across disparate files and systems\n* **Eliminate repetitive manual checks**, handling large volumes of comparisons and reviews at once and producing reviewer-ready documentation with labeled, traceable evidence\n\nWith Oxus, teams save **millions** in outsourcing fees and get audits done **10x faster.** \n\n**The ask**\n\nWe’re onboarding early customers and would love intros to any of the following at pre-IPO/public companies:\n\n* Chief Audit Executives / Chief Financial Officers\n* Heads of Internal Audit / SOX / Internal Controls / Platform Controls / Risk Assurance\n* Internal auditors\n* Controllers\n\nFeel free to reach out directly to us at [founders@oxus-ai.com](mailto:founders@oxus-ai.com) or book a call [here](https://calendly.com/liujanet/janet-christine-melinda?month=2025-12) to learn more!\n\n![uploaded image](/media/?type=post&id=96466&key=user_uploads/1547632/bf2d4900-8d4f-46f8-ba71-399ab2f5ac18)\n\n",
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        "created_at": "2026-01-05T18:41:30.019Z"
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    "long_description": "Radius is a browser where developers can orchestrate agents from their tabs. Ship 100x from a single place where agents can see, navigate, and act on your workspace.",
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        "full_name": "Quentin Romero Lauro",
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        "linkedin_url": "https://linkedin.com/in/quentinrl/",
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        "full_name": "Michael Klikushin",
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        "title": "Inspector—AI IDE for front-end",
        "tagline": "Inspector helps front-end engineers ship faster with AI by automating the most frustrating part of the job — gathering context between the browser and the codebase.",
        "body": "https://www.youtube.com/watch?v=Bxd1kO10qz4\n\n\\\n\\\nWe’re [Michael](https://x.com/mkliku) and [Quentin](https://x.com/Qromerolauro) from **Inspector**, and we’ve spent the past few years building tools and interfaces that sit between humans and computers — from **HCI research** at **Carnegie Mellon** to products at **Character AI** and **Oracle.**\n\nWhen we started building web-based games, we were spending **12 hours a day tweaking front-ends** and going through the same loop over and over: wireframing in Figma, adding screenshots to Cursor, and debugging in Chrome DevTools. It felt like a constant game of telephone to get our agents the right context from the DOM, codebase, and how it actually looked.\\\n\\\nThat’s why we built **Inspector**, an AI IDE for front-end that connects your browser and codebase. Inspector lets you **select elements visually** and **prompt changes**, giving coding agents access to the same runtime context developers have: **visuals, elements, and logs**. With Inspector, you’re editing right in the front-end, not buried under tabs and screenshots.\n\n# \n\n# **Inspector lets you:**\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/3679fe55-2611-4093-9ef5-bc6d6cfbe022)\n\n**Take DOM-aware screenshots** that snap to elements and **auto-attach to chat.**\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/7673c2d3-c252-442c-8714-32468eeee92b)\n\nClick elements to use **their exact place in your codebase** as context for your agent run.\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/4a9af745-7468-4584-88ae-3ad98c89a426)\n\nUse the terminal tool to **attach DevTools terminal output** straight to the conversation.\n\n# **Our Ask:**\n\n* If you’re a front-end dev, **check out Inspector** at [tryinspector.com](http://tryinspector.com) \n* Let us watch you code. If you’re a front-end developer email us at [founders@tryinspector.com](mailto:founders@tryinspector.com) so we can learn more about how you work!\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/22f1298d-56d2-4949-a642-6443a28c4b0f)\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/69870ad5-f57d-48f0-85fe-ef1b9382ea52)\n\n",
        "url": "https://www.ycombinator.com/launches/Opr-inspector-ai-ide-for-front-end",
        "votes": 38,
        "created_at": "2025-11-12T23:10:49.777Z"
      }
    ]
  },
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    "id": 30932,
    "name": "Leadbay",
    "slug": "leadbay",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37ac409b36b40159c5b6860f03b4e792466ac32c.png",
    "website": "https://leadbay.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Leadbay qualifies leads for agentic workflows.\r\n\r\nTeams at L'Oréal, Saint-Gobain, Gerflor USA, Corgi, and Nespresso B2B have 3x'd their addressable market and 10x'd what they defined as \"qualified leads\". Talking to our customers, we used to hear, \"10 minutes on Leadbay beats 6 months with Clay and a GTM agency.\"\r\n\r\nCo-founders are Milan Stankovic (CTO) - PhD to make AI work with limited data, and Ludovic Granger (CEO). \r\n\r\nCreate an account.\r\nA new market is yours.\r\nleadbay.ai.",
    "one_liner": "Qualified leads for agentic workflows.",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1760047494,
    "tags": [
      "B2B",
      "Sales",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Sales"
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    "regions": [
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/leadbay",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/leadbay.json",
    "year_founded": null,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/leadbay",
    "x_url": "https://x.com/LeadbayAI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/leadbay-6249",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37ac409b36b40159c5b6860f03b4e792466ac32c.png",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1301517,
        "full_name": "Ludovic Granger",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Leadbay. Previously an early employee at an EU-US VC firm, I then built a community of 300 sales reps - the perfect playground to iterate on underserved B2B use cases. Studied Finance at IÉSEG School of Management.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ludovic-granger",
        "x_url": "https://x.com/ludogranger",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c9ead1f3907ad8b9834c0cb33e0021e7eac9758.jpg"
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      {
        "user_id": 506565,
        "full_name": "Milan Stankovic",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Leadbay (F25). PhD in Artificial Intelligence. Previous exit. Making computers better companions to humans. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/milanstankovic",
        "x_url": "https://x.com/milstan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ea800c9cca606102555aa4c1a262ab9cada8466.jpg"
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    "launches": [
      {
        "id": 94693,
        "title": "Leadbay AI: 3x more SMBs than Linkedin. Qualify the 99% you miss with Clay.",
        "tagline": "Leadbay discovers and qualifies leads that couldn't be found before. ",
        "body": "Hey everyone 🤘🏻\n\nWe’re[ Ludo](https://www.linkedin.com/in/ludovic-granger/) and[ Milan](https://www.linkedin.com/in/milanstankovic/) - co-founders of Leadbay.\n\n**TL;DR:** You might think that Linkedin, Clay, ZoomInfo have you covered. They don’t. They miss 70% of US companies, and cover only 0.001% of digital signals/intent. Leadbay discovers and qualifies SMB leads others can’t find. Our customers 5X prospecting efficiency by simply unlocking untapped opportunities in the most data-scarce, fragmented markets.\n\n👉🏼 [Try it.](https://wow.leadbay.ai/) Get 50 free leads, qualified for you.\n\nhttps://youtu.be/IYD5HXaBGY4\n\n**HOW DOES IT WORK?**\n\n1. Start with your company email address. \n2. That’s it.\n3. (Optional) Upload a list of won/lost leads.\n\n**RESULTS - SALES REPS GET HOOKED !**\n\nWe closed small-to-enterprise deals with companies targeting SMBs in construction, hotels & restaurants, startups and retail.\n\n→ Our customers 5X their prospecting efficiency,\n\n→ 55% of their closed deals come from companies that were never on their radar,\n\n(One client even told us they sometimes used Leadbay while on the toilet—which inspired our first viral campaign 🚽).\n\n![uploaded image](/media/?type=post&id=94693&key=user_uploads/1301517/c818b899-6a77-4cb8-a3a9-82f1fb7156b6)\n\n**OUR VISION:**\n\n3X our customers’ Total Addressable Market by making invisible companies visible.\n\n**ORIGIN STORY:**\n\nMilan (CTO), is a PhD to make AI work with limited data.\n\nIn 2023, he joined Ludo (CEO), who had brought a **community of 300 sales reps** from his family and VC background — the perfect playground to iterate on underserved use cases.\n\nTogether, they set out to tackle what every sales team wants: **discover and qualify untapped opportunities.**\n\n![uploaded image](/media/?type=post&id=94693&key=user_uploads/1301517/0e4c2040-2165-41b5-86a9-02472cf4f9b5)\n\n**READY TO GROW YOUR BUSINESS WITH LEADBAY?**\n\n1. [Try it](https://wow.leadbay.ai/). Get 50 free leads, qualified for you.\n2. Intro me ([ludo@leadbay.ai](mailto:ludo@leadbay.ai)) to Enterprise sales teams prospecting SMBs (Kimball Midwest, Core-Mark International, Reece USA, Owens Corning, PPG Industries, Deel, Rippling…).\n\n![uploaded image](/media/?type=post&id=94693&key=user_uploads/1301517/e96861bf-f41e-4f46-92e2-03565b3a7cf7)\n\n",
        "url": "https://www.ycombinator.com/launches/OdJ-leadbay-ai-3x-more-smbs-than-linkedin-qualify-the-99-you-miss-with-clay",
        "votes": 292,
        "created_at": "2025-10-16T14:45:45.603Z"
      }
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    "id": 30935,
    "name": "s2.dev",
    "slug": "s2-dev",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db49ec4c66c85d205171bbf2f1700ea1146f627c.png",
    "website": "https://s2.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "S2 is an API for durable streams. We make working with streaming data dead simple and reliable.\r\n\r\nThe more we worked on data systems, the more we felt like there was a missing building block. The seamless experience of object storage simply did not exist for durable streams – so we set out to fix that!\r\n\r\nS2 reimagines streams as an unlimited and access-controlled web resource. Like if Kafka and S3 had a baby.\r\n\r\n- Building agents? Use granular streams to persist context in real time, make workflows auditable, and coordinate between agents.\r\n\r\n- Publishing fast-moving data? Streams support high fanout and can be accessed directly over the internet, so they are a great fit for broadcasting real-time feeds.\r\n\r\n- Sandboxing? Emit to per-instance streams, and read history or live events just as easily.\r\n\r\n- Local-first and multiplayer experiences? Propagate updates reliably and efficiently.\r\n\r\nStop dealing with clusters, and start streaming.",
    "one_liner": "API for unlimited, durable, real-time streams",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1759174945,
    "tags": [
      "Developer Tools",
      "Open Source",
      "API",
      "Infrastructure",
      "Databases"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/s2-dev",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/s2-dev.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/streamstore/",
    "x_url": "https://x.com/s2_streamstore",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/s2-streamstore",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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      {
        "user_id": 235940,
        "full_name": "Shikhar Bhushan",
        "title": "Founder/CEO",
        "founder_bio": "Making streams plentiful and serverless. Hacked on retrieval systems at Etsy, a KV store at Facebook, and Kafka Connect at Confluent.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shikhrr",
        "x_url": "https://x.com/shikhrr",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57590395516b13e3ef14efeeefecfc7409c09e62.jpg"
      },
      {
        "user_id": 1723893,
        "full_name": "Stephen Balogh",
        "title": "Founder/CTO",
        "founder_bio": "Loves Rust, and building systems that scale. Previously built novel infra for multi-modal product search at Etsy, and digital repository software at NYU",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stephen-balogh-078a4995/",
        "x_url": "https://x.com/sgbalogh0",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23704db7d2ff94bf5b6f5b2309970e60225a41b3.jpg"
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    "jobs": [],
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    "launches": [
      {
        "id": 95319,
        "title": "s2.dev: Streams as a cloud storage primitive",
        "tagline": "The serverless API for unlimited, durable, real-time streams",
        "body": "Hi everyone! We are [Shikhar](https://www.linkedin.com/in/shikhrr/), [Stephen](https://www.linkedin.com/in/stephen-balogh-078a4995/), and [Dwarak](https://www.linkedin.com/in/dwarakgovindparthiban/), the co-founders of [s2.dev](http://s2.dev). S2 is the S3 for streams.\n\nhttps://www.youtube.com/watch?v=8-mUPf4P_8g\n\nMany of the most important features in products we love are powered by streaming data, from frontend UIs that go _brrr_ with real-time updates, to backends that store and process massive event flows. But building these sorts of real-time systems is really hard.\n\nWe are turning streams into a cloud storage primitive – just like object storage did for static files.\n\nS2 is a completely serverless datastore, offering unlimited streams and configurable (even bottomless) data retention. Streams can be appended to and followed in real-time, and since all writes are durable, you can also read from anywhere in a stream’s history, indexed by sequence number or timestamp.\n\nWe basically took the core abstraction of Kafka – [the log](https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying) – gave it a URI, and brought it online with a dead simple API. And none of the bloat. 😀\n\nhttps://www.youtube.com/watch?v=2a1OdJ9l78A\n\n## Why we’re building S2\n\nWe built large-scale ML infra at Etsy and Meta, and always felt the lack of a system like S2. Serverless infra for data at rest has been seamless for a long time (S3 launched 20 years ago!) – but the ecosystem around streaming data, in comparison, felt stuck in the stone age.\n\n![uploaded image](/media/?type=post&id=95319&key=user_uploads/235940/72f8cb1e-a550-4458-b57b-d5936dc98191)\n\nWhen we [first introduced S2](https://news.ycombinator.com/item?id=42480105), we thought it would be most attractive to people already using streaming platforms like Kafka – but we’ve found that it resonates much more with builders in areas where these systems are entirely absent, who end up cobbling together general-purpose stores like Postgres and Redis and run into their limits.\n\nWe stand out on dimensions that are completely off the map for legacy systems: like the ability to have an unlimited number of streams backed by object storage, and to make them directly accessible [over REST](https://s2.dev/docs/rest/records/overview). This means S2 streams can be used as a serverless, reliable alternative to custom WebSocket or SSE infra.\n\n## S2 radically simplifies streaming\n\nIf you are dealing with a **high-cardinality of data sources** – for example, code execution sandboxes or IoT devices – S2 is for you. Streams can be instantly created on-demand. You don’t have to buffer or batch, just pipe into S2.\n\nhttps://www.youtube.com/watch?v=wsFiwxv_RY0\n\nWe recently [supercharged](https://news.ycombinator.com/item?id=45310294) read scalability to handle massive fanouts. You can broadcast a **real-time feed** with S2 such as market data without building any infra – publishing is just a matter of POST-ing to a stream’s URL.\n\nIf you are building **agents**, a common pain is **syncing** progress between the backend and frontend, while also being able to replay history. A lot of these agent state management challenges become simple with S2.\n\n## Try it out\n\nWe should talk if [s2.dev](http://s2.dev) resonates with you! You can [sign-up](https://s2.dev/sign-up) and follow the [quickstart](https://s2.dev/docs/quickstart) to start streaming in seconds with free credits.\n\nThere is a lot more we are cooking, including an ⭐ open source self-hostable S2 https://github.com/s2-streamstore/s2 ⭐\n\n## Talk to us\n\n**email**: [founders@s2.dev](mailto:founders@s2.dev)\n\n**discord**: https://discord.gg/JfTWJ5xxZ6\n\n**twitter**: https://x.com/s2_streamstore\n\n**bluesky**: https://bsky.app/profile/s2.dev\n\n![uploaded image](/media/?type=post&id=95319&key=user_uploads/89898/8c2da77e-e2c6-4bb6-bba6-9da0a09f87ef)\n\n",
        "url": "https://www.ycombinator.com/launches/OnP-s2-dev-streams-as-a-cloud-storage-primitive",
        "votes": 64,
        "created_at": "2025-11-08T06:30:48.434Z"
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  {
    "id": 30936,
    "name": "Patent Watch",
    "slug": "patent-watch",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c1d7fe830232f3ad92055c328a9c623fe69050a.png",
    "website": "https://www.patentwatch.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We automate patent infringement detection. Our software interprets patents, identifies competing products, and generates claim charts showing who’s infringing and how.\r\n\r\nTeams use us to:\r\n\r\n- Find licensing and litigation targets\r\n- Send cease-and-desist letters\r\n- Find counter litigation\r\n- Sell IP in wind-downs\r\n- Accelerate M&A diligence\r\n\r\nWe also run AI invalidity and prior-art searches to help your patents hold up in court.\r\n\r\nCompanies spend up to $50k to file and maintain a single patent over its lifetime, but once it's granted, they let it collect dust. With Patent Watch, you can start turning your patent portfolio into revenue in 10 minutes.",
    "one_liner": "AI for detecting patent infringements",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1758491604,
    "tags": [
      "SaaS",
      "B2B",
      "Legal",
      "LegalTech",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/patent-watch",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/patent-watch.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/patentwatch-ai/",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1250636,
        "full_name": "Alexander Stroe",
        "title": "Founder/CEO",
        "founder_bio": "Founder @ Patent Watch | Prev day traded funded accounts, spent > $1M on ads",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alex-stroe/",
        "x_url": "",
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        "full_name": "Andreas Stroe",
        "title": "Founder/CTO",
        "founder_bio": "Founder @Patent Watch | Ex Research @ Philips",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andreasstroe/",
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    "launches": [
      {
        "id": 94773,
        "title": "Patent Watch - AI for patent infringements 📜",
        "tagline": "Upload your patents, we find infringing products so you can sell licenses or litigate. ",
        "body": "[**Patent Watch Launch Video**](https://youtu.be/9rLBsb_cX6E)\n\n**Problem**\n\nMy co-founder, [**Andreas Stroe**](https://www.linkedin.com/in/andreasstroe) (also my brother), was doing research at Philips. He applied for 4 patents while he was there. After spending way too much time talking to the IP team, he realized that they hold 50,000 patents with a team of \\~10 people to defend them.\n\nA little background: a **patent costs** around **$50k** to obtain and maintain. $17k is non-negotiable, paid directly in fees. That means their **portfolio costs $850M** to **$2.5B**. The best part is that they, and pretty much every company in the world, rely on Googling competitors and sending salespeople to trade shows to hear about new products that could be infringing. This whole **portfolio** is **making** little to **no revenue.**\n\nI guess you can see why we started building this right away.\n\n![uploaded image](/media/?type=post&id=94773&key=user_uploads/1250636/63eddfc4-bbda-4f22-b80e-7d4f0f15ced3)\n\n_Can you tell we’re brothers?_\n\n**Solution**\n\nSuper simplified to keep it easy to understand:\n\n✅ We let companies upload their patents and get a list of claim charts showing what **products are infringing and how**, in 20 minutes instead of months.\n\n✅ When companies get sued, they can **use us to find counter litigation**, since the person suing them is most likely infringing on some of the patents they hold too.\n\n✅ The most common way to get these cases thrown out of court is by considering a patent invalid. That means there is some proof, like other patents, research papers, or products that existed before your patent was filed. We find all these and **confirm your patents will hold up in court.**\n\nThere is more, but you can consider this our “core”.\n\n**Proof**\n\nAs you can imagine, pretty much everyone we work with has us under NDA. What I can tell you is that we work with private inventors up to Fortune and Global 500 companies.\n\n**Why now?**\n\nOf course, AI …\n\nBut also, the US Patent Office is tightening the rules for challenging patents in its review court. The director is being pickier about which cases get heard, and some evidence no longer counts.\n\n🚨 It’s going to be a lot harder to attack a patent and a lot easier for owners to defend one🚨\n\n**Ask**\n\nIf you hold patents and have more applications pending, you can probably use us.\n\nOutside of that, we’d really appreciate intros to:\n\n* Patent attorneys\n* IP managers\n* Licensing managers\n* CTOs or heads of R&D at hardware, biotech, industrial, and large software companies\n\nMy email is [**alex@patentwatch.ai**](mailto:alex@patentwatch.ai) if you want to chat :)\n\n_Thanks for reading!_",
        "url": "https://www.ycombinator.com/launches/Oeb-patent-watch-ai-for-patent-infringements",
        "votes": 78,
        "created_at": "2025-10-21T00:06:19.043Z"
      }
    ]
  },
  {
    "id": 30938,
    "name": "Imagine AI",
    "slug": "imagine-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/970910171a94d4462949dcdc9bf32a46422e39bc.png",
    "website": "https://imagineai.me",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Imagine AI is a research and software company reverse engineering modern B2B growth, starting with LinkedIn.\r\n\r\nAs companies get more automated, more of B2B growth will happen between agents, and the companies that connect will compound each other's output. We're building the connective layer between them. We start with content because it's still the fastest way to build B2B relationships at scale.\r\n\r\nToday our content agent decides what your team should post based on data from 1M+ people (who posts what, who engages, where they work and how they're connected). It drafts the posts and graphics, schedules them for your execs and company page, and maps engagement back to your pipeline.\r\n\r\nRippling, MarqVision, Slash, Corgi and Fondo use Imagine AI. Customers have generated $40M in revenue, 100M impressions and 14,341 MQLs.\r\n\r\nFree public benchmark of how 1,000+ B2B companies and their execs perform on LinkedIn: https://benchmark.useimagine.ai",
    "one_liner": "We reverse engineer B2B growth, starting with LinkedIn.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1757695309,
    "tags": [
      "B2B",
      "Sales",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Sales"
    ],
    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/imagine-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/imagine-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ai-imagine",
    "x_url": "https://x.com/imagineagi",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1654391,
        "full_name": "Sky Yang",
        "title": "Founder/CEO",
        "founder_bio": "Sky Yang is the Co-founder & CEO of Imagine AI.\n\nHe was the youngest-ever elected Student Body President at UC San Diego, where he led 32,000 students and successfully raised $150M for university infrastructure improvement. He also founded the nonprofit Break the Outbreak, scaling it to a 400-person organization operating in 53 cities/18 States.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/skyyang/",
        "x_url": "https://x.com/skygodkingdom",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5126ec188c4e513ebf71c6c237dc01b027e7f393.jpg"
      },
      {
        "user_id": 1051338,
        "full_name": "Neo Lee",
        "title": "Co-founder",
        "founder_bio": "Neo Lee co-founded Imagine AI in 2025, which now serves 50+ B2B companies including MongoDB, Rippling, Slash, and Corgi Insurance.\n\nHe was previously a founding engineer at startups backed by MiraclePlus, Mysten Labs, and the SUI Foundation, and researched non-cooperative stochastic games at UC Berkeley under Prof. Alan Hammond, where he proved a previously open equilibrium-threshold result in stake-governed tug-of-war games.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neo-lky",
        "x_url": "https://x.com/neo_lky",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df8c684381c101d4a6e29f436659162b3f5e1db1.jpg"
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    ],
    "jobs": [
      {
        "id": 102004,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/imagine-ai/jobs/tqTTn1x-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $230K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
          "SQL",
          "Neo4j",
          "Next.js"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 97977,
        "title": "Imagine AI - B2B content for your entire team that books meetings before competitors get a reply",
        "tagline": "$31M in revenue generated across 40+ B2B companies. Now with multi-seat team coordination.",
        "body": "Hey YC.\n\nWe're Sky and Neo from Imagine AI.\n\nWe just launched multi-member team content for B2B companies.\n\nMost companies try LinkedIn GTM with one founder posting alone. It works, but it's slow. One voice. One network. Limited reach.\n\nWhat actually moves the needle is coordinated team effort. Multiple executives posting aligned content, amplifying each other, creating a ripple effect across the org.\n\nThat's what we built.\\\n\\\n<https://youtu.be/vSiHQ7_aQiA>\n\n**TL;DR:** We build 100+ page personas for each person on your team, then run your entire content pipeline: LinkedIn posts, strategic comments, coordinated team cadence. Every client gets a dedicated Content Engineer backed by our AI platform. $31M in revenue generated across 40+ B2B companies.\n\n**Ask:** B2B company doing sales-led growth? Book a demo at [imagineai.me](http://imagineai.me) or email [**sky@imagineai.me**](mailto:sky@imagineai.me)\n\n**The Problem**\n\nB2B buyers trust people, not logos. But most companies have zero content infrastructure.\n\nFounders and execs are juggling product, sales, and fundraising. Content falls to the bottom. Hiring an agency costs $150K+ and takes months to onboard per person. Generic AI tools produce robotic content that damages your brand. And even when someone does post, there's no coordination across the team. Your CEO and VP of Sales are operating in silos instead of running coordinated campaigns.\n\n**What's New**\n\n1️⃣ **Multi-seat access with coordinated cadence.** Your whole leadership team posts through Imagine AI. Not just the CEO. VP Sales, VP Marketing, Head of GTM, whoever needs to be building their presence. Your CEO posts the vision, your VP of Sales posts the proof, your Head of Marketing posts the framework. Same theme, different angles, coordinated ripple cadence.\n\n2️⃣ **100+ page Persona Reports for each person.** We go through transcripts, interviews, podcast appearances, posts, and conversations for every person on your team. The result reads more like a biography than a brief. That's why the content sounds like each person actually wrote it. Not a polished corporate version. Them.\n\n3️⃣ **Dedicated Content Engineer per account.** Every client gets a real person who owns your strategy. They set the pace, coordinate your team's content cadence, and ensure what we ship makes sense for your business. A senior content strategist with an AI platform behind them.\n\n4️⃣ **AI-powered analytics that track pipeline, not pageviews.** You can see which posts start real conversations with your ICP. Audience activation, conversation quality, inbound meeting requests. Actual numbers, not vibes.\n\n5️⃣ **Cut content creation time by 95%.** Executive post creation reduced from 1 hour to 5 minutes. Content prep reduced from 8 hours to 30 minutes. Most clients spend 2-4 hours per month on the platform. The rest runs on its own.\n\n**Our Traction**\n\nLaunched November 2025. Now serving 40+ paying B2B companies from pre-seed to publicly traded.\n\nClients include Rippling, Corgi Insurance, Campfire AI, Fondo, Paramify, and others.\n\n📈 Results across all clients:\n\n* **$31M** in revenue generated\n* **431** qualified inbounds in 1 month for one client\n* **$53K** inbound revenue in 1.5 weeks for another\n* **12M** total impressions generated\n* **10,400** hours saved so far\n\nWe built all of this because our customers kept asking for it. They wanted their whole team posting, but couldn't justify the time investment for each person.\n\nNow they can.\n\n**Our Ask**\n\nKnow a B2B company doing sales-led growth that needs a content engine for their team? Intro us.\n\nBook a demo: [**https://imagineai.me**](https://imagineai.me)\n\nReach us:\n\n* [**sky@imagineai.me**](mailto:sky@imagineai.me)\n* 650-518-8626 (text first)\n* Sky: [**https://linkedin.com/in/skyyang**](https://linkedin.com/in/skyyang**)\n* Neo: [**https://linkedin.com/in/neo-lky**](https://linkedin.com/in/neo-lky**)\n\n![uploaded image](/media/?type=post&id=97977&key=user_uploads/1654391/83eab6ad-ab88-4062-9a91-16f4cc721bae)\n\n",
        "url": "https://www.ycombinator.com/launches/PUH-imagine-ai-b2b-content-for-your-entire-team-that-books-meetings-before-competitors-get-a-reply",
        "votes": 6,
        "created_at": "2026-02-19T21:55:09.306Z"
      },
      {
        "id": 94851,
        "title": "Imagine AI - We build your B2B content pipeline so your prospects find you first",
        "tagline": "#1 B2B content engineering for Linkedin, Blogs, and Thought Leadership that converts $10M so far",
        "body": "Hey YC.\n\nWe're Sky and Neo from Imagine AI, and we build B2B content pipelines for companies doing sales-led growth.\n\n**TL;DR:** We build high-fidelity personas that replicate how you think and write, then use them to handle your entire content pipeline: LinkedIn posts, strategic comments, GEO/SEO/category defining blogs. The result is content that drives qualified inbounds.\n\nOne client got 200 qualified inbounds in a month. Another landed a $5M deal from a single post. A third generated 40K in revenue from inbounds in 10 days.\n\nhttps://youtu.be/SiAtXolPFmY\n\n**The Problem**\n\nB2B founders know content drives pipeline. But you're juggling product, sales, and fundraising. You don't have time to make B2B content. Hiring an agency costs $150K and takes months to onboard. Generic AI tools produce robotic content that damages your brand.\n\n**Our Solution**\n\nWe don't just write posts for you. We perform content engineering to get you to content market fit.\n\n![uploaded image](/media/?type=post&id=94851&key=user_uploads/1654391/15084825-fe7a-42f5-a032-78c90d251f6a)\n\nHere's what that means:\n\n**Step 1: Build a high-fidelity persona** We extract everything about how you think, write, and sell from your transcripts, articles, and interviews. The result is a persona document literally the length of a Harry Potter book. This isn't surface-level voice cloning. It's deep context about your worldview, your clients' pain points, and your unique insights.\n\n**Step 2: Content engineering to market fit** We use that persona to build your entire content pipeline: 4 LinkedIn posts per week, strategic comments on prospect posts, category defining blogs that rank. Then we optimize based on engagement data until we hit content market fit, where your content consistently drives qualified inbounds.\n\n**Step 3: Measure what matters** We track qualified conversations, not vanity metrics. We closed 10M in revenue so far for our clients.\n\nThat's content market fit.\n\n**Our Traction**\n\nWe launched in mid-July, now serve 30+ paying customers including 16 YC companies plus VCs, global franchises, and ghostwriting agencies (Conduit W24, Freya AI S25, AthenaHQ W25, Itworks, Fuwa Fuwa). Achieving minimum 30%-70% week to week growth.\n\n💡 Results:\n\n* $10M+ in total revenue generated\n* $5M deal from one optimized post\n* $40K inbound revenue in 1.5 weeks\n* 200+ qualified inbounds in one month\n* Client onboarding cut from 2 weeks to 1 week\n* Content prep reduced from 8 hours to 30 minutes\n\n**Our Ask**\n\nFor F25 companies: First 5 to reach out get 20% off first month.\n\nFor everyone: Know a B2B company doing sales-led growth that needs content? Intro us.\n\nTry it: [**https://imagineai.me**](https://imagineai.me)\n\nReach us:\n\n* [**sky@imagineai.me**](mailto:sky@imagineai.me)\n* 650-518-8626 (text first)\n* [**https://www.linkedin.com/in/skyyang/**](https://www.linkedin.com/in/skyyang/**)\n* Neo: [**https://linkedin.com/in/neo-lky**](https://linkedin.com/in/neo-lky**)",
        "url": "https://www.ycombinator.com/launches/Ofr-imagine-ai-we-build-your-b2b-content-pipeline-so-your-prospects-find-you-first",
        "votes": 67,
        "created_at": "2025-10-23T17:22:47.927Z"
      }
    ]
  },
  {
    "id": 30939,
    "name": "Expected Parrot",
    "slug": "expected-parrot",
    "former_names": [
      "Expected Parrot, Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8df693185d3d01a607d26dc392fa6f5307be2a.png",
    "website": "https://www.expectedparrot.com",
    "all_locations": "Boston, MA, USA",
    "long_description": "Expected Parrot helps companies simulate their customers with AI agents to explore pricing, product, marketing, communications and other scenarios at scale. Our open-source library and no-code web app let you design custom agent personas and conduct interviews and surveys with them using LLMs of your choice to generate results and reports. Everything is cached and reproducible, and you can send the same surveys to human respondents to validate results in the same interface.",
    "one_liner": "Simulate your customers with AI agents",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1760614076,
    "tags": [
      "Generative AI",
      "SaaS",
      "Open Source"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/expected-parrot",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/expected-parrot.json",
    "year_founded": 2024,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/expectedparrot",
    "x_url": "https://x.com/ExpectedParrot",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/expectedparrot/edsl",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8df693185d3d01a607d26dc392fa6f5307be2a.png",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 696545,
        "full_name": "Robin Horton",
        "title": "Founder/CEO",
        "founder_bio": "Prior to building E[P] I was as founding member of Uber's Legal Data team and spent 7 years managing cross-functional data reporting. Before joining Uber I was a tax and investment funds attorney at Ropes & Gray LLP and served as an Assistant Attorney General in Massachusetts prosecuting environmental and white collar crimes. Before law school I managed simulations contracts for Northrop Grumman. Harvard JD & Columbia BA (Math).\n\nHarvard JD, Columbia BA Math.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/robertahorton",
        "x_url": "https://x.com/ExpectedParrot",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a1c76533e7aa2c5c12dbec40b19174023f4db09.jpg"
      },
      {
        "user_id": 50096,
        "full_name": "John Horton",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder of Expected Parrot. Professor at MIT Sloan. Economist. Former Army Officer. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/john-horton-48a75819/",
        "x_url": "https://x.com/johnjhorton",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b62d0cec76320c0a7050f9d7491a43c678e96cda.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 95172,
        "title": "Expected Parrot: Simulate your customers with AI agents",
        "tagline": "Meet Expected Parrot, the open-source framework for simulating your customers with AI agents.",
        "body": "Hi everyone, we’re [Robin ](https://www.linkedin.com/in/robertahorton/)and [John](https://www.linkedin.com/in/john-horton-48a75819/), co-founders of [Expected Parrot](https://www.expectedparrot.com).\n\n**TLDR:**\n\nUser research is expensive, slow, and hard to do well. Expected Parrot makes it radically cheaper, faster and easier.\n\nWe let you simulate customers with AI agents—run surveys, test pricing, get reactions to new features—before spending money on conventional research or building the wrong thing. Our tools make it easy to optimally combine human and AI generated data to run the best possible versions of your experiments.\n\n[Expected Parrot: Simulate your customers.](https://youtu.be/wVggRUnIdnA)\n\n**How it works:**\n\nTurn your customer data into AI agent personas, then run them through surveys just like you would with real people. Get instant results you can compare directly to human responses. E\\[P\\] provides the open source tools and services to validate these simulated results to increase confidence.\n\nWe offer a web app (for PMs, designers, and researchers) and a Python library (for data scientists who want full control). Surveys are the interface—expressive, familiar, and perfect for comparing AI to real human data.\n\n**Use it for:**\n\n* Pricing strategy: simulate hundreds of variations, estimate revenue\n* Product testing: find confusion before you build\n* Message testing: iterate on positioning at machine speed\n* Policy and legal: explore stakeholder reactions to different arguments\n\n**Key features:**\n\nWe handle all the plumbing—prompt engineering, async execution, structured parsing, caching, API management. Researchers focus on questions, not debugging Python or juggling API keys. \n\nWith conventional research, you have an idea, you design a survey, launch it, wait 2 weeks and then learn you didn't quite ask the right question—and you spent several thousand dollars. With E\\[P\\], you can design a survey, generate agents, run the survey and get results in seconds.  \n\n**Traction:**\n\nWe’re working with tech companies like Upwork, a global consulting firm, and users in banking, entertainment, consumer products, government statistical agencies, and non-profits. Our open source tools are being taught in business and CS programs at many universities. \n\n**About us:**\n\n[Robin](https://www.linkedin.com/in/robertahorton/) (CEO), who led legal and regulatory data science at Uber, has seen firsthand how the right tools can unlock productivity. [John](https://www.linkedin.com/in/john-horton-48a75819/) (CTO), [a professor at MIT](https://scholar.google.com/citations?user=L_O2kH0AAAAJ&hl=en), was conducting research with his PhD students on how to use AI simulations in economics ([here](https://arxiv.org/abs/2508.17407), [here](https://arxiv.org/abs/2404.11794) and [here)](https://arxiv.org/abs/2301.07543) but found existing tools inadequate. We started building our tools because we needed them, and we started building the platform when we realized others needed them as well.\n\n**Get in touch:** [founders@expectedparrot.com](mailto:founders@expectedparrot.com) | [expectedparrot.com](http://expectedparrot.com)\n\nHere’s a quick demo of our tools:\n\n[Expected Parrot: Demo](https://youtu.be/SzhrhBZkfjo)",
        "url": "https://www.ycombinator.com/launches/Ol2-expected-parrot-simulate-your-customers-with-ai-agents",
        "votes": 93,
        "created_at": "2025-11-04T22:53:55.562Z"
      }
    ]
  },
  {
    "id": 30942,
    "name": "Scott AI",
    "slug": "scott-ai",
    "former_names": [
      "Juno",
      "Scott AI",
      "Juno"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e147d1eb5a08ce6e087e44a2f10d637816c7c5db.png",
    "website": "https://tryscott.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Coding agents made writing code fast. But 6 engineers in a room will probably still disagree on what needs to be built.\r\n\r\nScott AI is a planning workspace where engineering teams align on what to build before their coding agents start building it.",
    "one_liner": "The planning layer for teams that build with coding agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762199813,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/scott-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/scott-ai.json",
    "year_founded": 2025,
    "city": "New York City",
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      {
        "id": 95166,
        "title": "Scott AI  - Agentic Workspace for Software Spec Design",
        "tagline": "Get to your best spec faster. Align with your team faster. Let coding agents take on larger tasks.",
        "body": "Hi everyone 👋\\\n\\\nWe are[ David](https://www.linkedin.com/in/davidemaulick/) and[ Devin](https://www.linkedin.com/in/devin-cintron/) – co founders of[ Scott AI](https://www.tryscott.ai/download).\n\nTL;DR\n\n**Scott runs several coding agents side by side to expose their disagreements and help you get to the best spec faster.** With Scott, your coding agents can take on larger tasks while respecting your requirements.\n\n**Ask:** Try[ Scott AI](https://www.tryscott.ai) for at <https://www.tryscott.ai/apply>.  To use Scott with your team, book a demo with us [here](https://calendly.com/david-tryscott/david-scott-ai-30-min-meeting).\n\n<https://www.youtube.com/watch?v=c08GE8cMX-E>\n\n**❌ The Problem**\n\nCoding agents are fast and generate lots of code. But they often do things we don’t want them to. To name a few:\n\n* Over-architecting and using the wrong abstractions\n* Using obscure libraries for the job\n* Early optimizations for future problems that will never exist\n\nThat said, it’s not really their fault! Builders need a tool that better aligns coding agents with our intent.\n\n\\\n**The Solution**\n\nA tool that highlights the most important and relevant design decisions early, makes it easy to compare tradeoffs, and helps you pick the spec that most accurately matches your intent.\n\n[**👷**](https://emojipedia.org/construction-worker) **What we are building**\\\n\\\nScott AI is the agentic workspace for software spec design. Scott lets teams orchestrate “swarms of experts” to debate architecture designs, making it easy for developers to discover and align on the best plan before handing it off to execution-oriented agents like Claude, Codex, or Cursor.\n\nWith Scott, teams grant multi-agent swarms of any model (Claude w/ Sonnet 4.1, Codex w/ GPT-5, etc.) secure, one-click access to their full codebase. Agents explore multiple design paths in parallel while Scott orchestrates a debate between them.\n\nScott then surfaces key divergences and lets builders choose the best options directly in the interface. Once aligned, your final design plan is shareable with your team, and fully portable to whatever tools you use to build.\n\n**🙏 Our Ask**\n\nIf you answer “yes” to any of the following, we would love your help:\n\n* **For Developers.** Rethinking the way software should be done in the era of coding agents?[ ](https://www.tryscott.ai/download)[Try Scott](https://www.tryscott.ai/apply) and let us know what you think.\n* **For Teams**. Does your team care deeply about incorporating coding agents into your system design review process? We've built an experience we are actively piloting with forward-thinking teams. Schedule time with us[ ](https://calendly.com/davidmaulick/30min)[here](https://calendly.com/d/ctfh-v6b-pst/scott-user-chat)!\n\n👉 Contact us at [founders@withjuno.dev](mailto:founders@withjuno.dev)\\\n👉 Follow us on X - [https://x.com/scott_ai\\\\](https://x.com/scott_ai%5C)\\_\n\n[**👬**](https://emojipedia.org/men-holding-hands) **The Team**\n\nDevin and David have known each other for over five years.\n\nDavid (CEO & Co-Founder) is an ex staff software engineer and engineering manager from Coinbase. Over the past 4 years, David has been focused on building and evangelizing eng platforms to help Coinbase product engineers move faster + scale Coinbase to the next billion users. When he left, the teams that he helped build/lead powered 95% of UI at Coinbase, 65% of Coinbase edge traffic and were used by more than 700 engineers daily. \n\nDevin (CTO & Co-Founder) is ex founding eng & head of mobile at Comun (Redpoint, Costanoa), KP Eng fellow, and consulting at Bain. At Comun, Devin was known for often landing projects slotted for multiple weeks in a single weekend. Stanford BS in CS, focus on AI.\\\n\\\nCheck out our Hackerhaus:\n\n![uploaded image](/media/?type=post&id=95166&key=user_uploads/1254494/9b9a736a-438a-441f-aa19-e7acb93856cd)\n\n",
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        "created_at": "2025-11-04T20:43:23.590Z"
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        "full_name": "Axel La Pira",
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        "founder_bio": "Prev. Computer Science and Philosophy at Oxford (placed 2nd in oxford cohort), Ex- ML @ Citadel, ex-founder Associate @ Alan, now building Prism, your AI recruiting agency",
        "is_active": true,
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        "title": "Prism: AI-Native Recruiting Agency",
        "tagline": "Prism 🔍 AI-native recruiting agency The highest-scoring people search ever benchmarked, plugged into an agency that hands you hires ready to interview.",
        "body": "Hey everyone 👋\n\nWe're [Theo](https://www.linkedin.com/in/theokitsberg/) and [Axel](https://www.linkedin.com/in/axellapira/) — cofounders of [Prism](https://tryprism.com/).\n\n**TL;DR**\n\nPrism is an AI-native recruiting agency. You brief us on a Slack channel. We source, engage, and screen the candidates. You step in to interview and make the offer. You pay 15% of first-year salary when someone we find signs.\n\nThe engine underneath is the best people search in the world. We score 89.6 on the Public Sourcing Benchmark. This puts us 21+ points ahead of every published baseline and the benchmark was built and published by one of our direct competitors.\n\n**Ask:** Hiring, or know someone who is? Reply here, DM, or grab a slot: <https://cal.com/theokitsberg/30mins>\n\n❌ **The Problem**\n\nHiring is a company killer. Founders spend a third of their time on it. Bad hires cost more than missed quarters. Good hires change companies.\n\nAnd yet the work itself is brutal. Inbound is 95% noise. Outbound competes with everyone else's outbound. Agencies are slow, expensive, and opaque. Software dumps thousands of half-relevant profiles on your desk and walks away.\n\nThe hardest part of hiring isn't picking the tool. It's doing the work.\n\n🛠️ **Our Solution: an AI-native agency, built on the best people search in the world**\n\n![uploaded image](/media/?type=post&id=101452&key=user_uploads/2051069/8aca8a76-91fb-41f6-9312-59e3c9e7e2af)\n\n**The best people search, independently verified.** 89.6 on the Public Sourcing Benchmark. 21+ points clear of the next system. The benchmark was built and published by Lessie, one of our direct competitors. The judge is Gemini, not us. The methodology was pre-registered and the queries and harness are public. Anyone can reproduce it. Read the full paper here: tryprism.com/papers/people-search-benchmark.pdf\n\n**Calibration, not just keywords.** We extract the hidden hiring criteria buried in your JD and your past hires. A few thumbs-up / thumbs-down on early candidates and the search converges fast.\n\n**Outreach that converts.** We engage candidates across LinkedIn, email, and WhatsApp, with messages calibrated to the role and the person.\n\n**Scale agencies physically can't match.** We run dozens of searches in parallel today, every step instrumented. A traditional agency on a senior role has one human reading 20 profiles at a time. We read the whole web at once and use human time only where it actually matters.\n\n**You brief us on Slack. We hand you a shortlist.** You handle the parts a founder should, which in our view are the interviews and the offer. Everything else is on us.\n\n**Pricing:** $500 retainer to kick off a search. 15% of first-year salary when someone we find signs.\n\n👬 **The Team**\n\n**Theo (CEO)** — Cambridge dropout. Built and ran recruiting and training for a UK crisis helpline. Published research with MIT’s Media Lab.\n\n**Axel (CTO)** — Oxford dropout. Previously founder associate at Alan, the French healthtech unicorn, where he worked on internal recruiting infra.\n\n(+ an **amazing founding engineer** and **amazing in-house recruiter**, both hired with Prism!)\n\n🙏 **Our Ask**\n\n🔵 **Hiring?** Run a search with us. Reply, DM, or grab a slot: <https://cal.com/theokitsberg/30mins>\n\n🔵 **Looking for your next role?** Meet Ray, our AI career advisor. One conversation and we'll match you with companies hiring people like you. Free [here](https://tryprism.com/?view=candidates), takes a few minutes\n\nThanks!\n\nTheo &amp; Axel",
        "url": "https://www.ycombinator.com/launches/QOK-prism-ai-native-recruiting-agency",
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        "title": "⚡ZALOS: Computer Agents for Finance Operations",
        "tagline": "Automate repetitive Finance workflows like categorization & reconciliation, without changing Finance systems!",
        "body": "### **Eliminate your Finance Operations grunt work - NOW!**\n\n**Zalos Computer Agent:**\n\n⚡Logs into existing systems (e.g., ERP, Accounting, other CFO tools)\n\n⚡Automates Finance processes (e.g., reconciliation, categorization, form filling)\n\n⚡Uploads & submits in your system\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n**Our ask:** Send our website / YouTube to 5 friends in Midmarket / Enterprise Finance & Operation teams - thank you!\n\nhttps://youtu.be/tx5ymY7DZEU?feature=shared\n\n### **Why IS THIS?**\n\n# **The Blockers ➜ Your Finance Systems:**\n\nFinance Operations is buried in repetitive tasks, driving:\n\n❌ **Lack of financial visibility** for decision-making\n\n❌ **Wasted time** by in-house or outsourced teams\n\n❌ **Mistakes** and **delays** from human-driven processes\n\nBarriers to FinOps automation have included:\n\n🚨 **Legacy ERPs** with limited AI\n\n🚨 **Authentication-protected** websites & portals\n\n🚨 **Too many Finance Systems** that don’t speak to one another\n\nIt doesn’t have to be this way.\n\n# **The Breakthrough ➜ Zalos:**\n\nZalos Agents run your rule-based processes, using your existing Finance applications:\n\n⭐ Our agents **automate processe**s based on **simple instructions** (e.g., Screen Recording, PDFs)\n\n⭐ **Native handling of ERPs** or other applications (e.g., 2FA, Captcha)\n\n⭐ **Superior Finance & Accounting task performance**, including leveraging our **FinOps libraries** (e.g., System Access, Categorization, Reconciliation, etc.)\n\n![uploaded image](/media/?type=post&id=94182&key=user_uploads/42612/798b755c-d5bd-4b10-be1a-dd27ee7a41ff)\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# **Customer story:**\n\n**FROM:** In the Bay Area, a Finance Manager was wasting 4 days (!) per month:\n\n✖️ Downloads transactions from Corporate Credit Cards & legacy Banks\n\n✖️ Uploads into NetSuite and manually categorizes 100s of transactions\n\n**USING ZALOS:** Finance Manager schedules ‘run process’ weekly:\n\n✔️ Zalos handles 2FA to download & submit required transactions\n\n✔️ Zalos operates NetSuite to categorize &gt;60% outstanding transactions\n\nNo browser required: Zalos works silently in the background, continuously improving itself.\n\nGaining 1 day per week was transformational. The Finance Manager could:\n\n🟪 Reduce financial risks with closer inspection (e.g., debt covenants)\n\n🟪 Catch cash leakages by spotting suppliers being paid at generous terms\n\n🟪 Be a strategic partner to the CEO & business with better analysis\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\nZalos **transforms** your Finance Operations:\n\n☑️ **Scale without headcount** - don’t let Operations teams be a bottleneck\n\n☑️ **Smarter every day**, with evals & RL-finetuning driving a self-performing system\n\n☑️ **Built for Enterprise-grade security** and screen records every automation for audit\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# The Team\n\n**William** was UK General Manager at Agicap, one of the largest ‘Office of the CFO’ startups in Europe, after working at McKinsey. He previously built & sold a bootstrapped B2B SaaS.\n\n**Hung** built Apple Pay products like Buy Now Pay Later, serving millions daily, and led on other AI initiatives at Apple, alongside working for other great AI startups.\n\n## **⚔️ We’re on a war path to automate repetitive Finance tasks⚔️**\n\n➡➡ Request demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n📩📩 **Questions?** Email me at: [will@zalos.ai](mailto:will@zalos.ai)\n\n🙏🙏 **Our ask:** Send our website / youtube video to 5 friends in Finance / Operations - thank you!",
        "url": "https://www.ycombinator.com/launches/OV4-zalos-computer-agents-for-finance-operations",
        "votes": 324,
        "created_at": "2025-09-29T14:00:21.640Z"
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    "id": 30946,
    "name": "Sourcebot",
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    "website": "https://www.sourcebot.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sourcebot is an open source code understanding platform for massive codebases. We’re used by thousands of engineers in some of the largest companies in the world, including NVIDIA, Red Hat, Wikimedia, and Arista Networks.\r\n\r\nUnderstanding code, not writing it, is the primary bottleneck for large engineering teams. For developers, this means onboarding onto complex codebases faster. For AI agents, it means getting the necessary code context to minimize hallucinations and maximize cohesion within the wider codebase.\r\n\r\nSourcebot solves this by giving developers and AI agents the ability to regex search across millions of lines of code instantly, as well as ask questions across thousands of repos using any flagship reasoning model. Being open source and on-prem, we can get deployed in enterprises within minutes before other tools even get approval.\r\n\r\nWe met a decade ago at McGill University and have been building together full time for over 2 years. We’ve personally felt the pain of understanding large codebases while working at Microsoft, EA, Ubisoft, Google, and Meta.",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "user_id": 1449228,
        "full_name": "Michael Sukkarieh",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder at Sourcebot. Previously worked on the largest game engines in the world at Ubisoft and EA, the worlds first cloud-first game engine at Google, and John Carmack's original Oculus OS team at Meta.",
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        "linkedin_url": "https://linkedin.com/in/msukkari",
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        "full_name": "Brendan Kellam",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Sourcebot. Previously built core game streaming tech on the Xbox Cloud Gaming team, worked on search inside of Visual Studio, and was the youngest engineer who helped ship Far Cry 5 at Ubisoft. I'm originally from Toronto and attended McGill University.",
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        "linkedin_url": "https://linkedin.com/in/brendan-kellam",
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        "id": 96308,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/sourcebot/jobs/WVbwFeV-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "url": "https://www.ycombinator.com/companies/sourcebot/jobs/tl38yrA-chief-of-staff",
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      {
        "id": 94687,
        "title": "Sourcebot: The Code Understanding Platform",
        "tagline": "Helping developers and AI agents understand massive codebases.",
        "body": "**TL;DR**: Sourcebot is an open source code understanding platform. It’s used by thousands of engineers in some of the largest companies in the world (including **NVIDIA, Red Hat, Wikimedia, and Arista Networks)** to help developers and AI agents understand massive codebases.\n\n[https://youtu.be/YJIi-gcAM3g](https://youtu.be/YJIi-gcAM3g%5C)\n\n\\\n**The problem:**\n\n* Large engineering teams manage **millions of lines of scattered and undocumented code**.\n* Individual engineers must regularly find and understand code across this complex environment to do their job. Existing tooling to do so is **inadequate, rudimentary, and often nonexistent.**\n* **AI agents have this problem too.** They need this context to provide usable results within an enterprise environment\n\n**The solution:**\n\nSourcebot solves this by providing the following tools:\n\n* **Code Search -** instantly search across millions of lines of code. Supports regex, boolean logic, and repo/file/branch filters.\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/70c891b0-cfec-4ff6-b070-fc1f212c29da)\n\n* **Ask -** ask questions in natural language across thousands of repos. Like asking in Cursor, but across all your repos and in a web app with inline citations.\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/b97e4beb-83cb-4d8d-b6b0-ed53a2a973c8)\n\n* **MCP -** gives both of the above tools to AI agents, allowing them to fetch context from code across your organization.\n\nAdditional features:\n\n* We integrate with any **code host** (e.g., GitHub, GitLab, BitBucket, etc.) as well as any **LLM model** (e.g., OpenAI, Anthropic, Bedrock, etc.). Bring your own LLM key.\n* Sourcebot is **open source** and **self-hosted** - none of your code leaves your deployment. Deploy and index all your repos in minutes with a single docker container.\n* We have a community edition that’s **free to use**, and a paid enterprise edition with advanced navigation features, analytics, and security/compliance features.\n\n**Our story:**\n\nBrendan and I met 10 years ago during our first week at McGill University 🇨🇦. We were both into game engines, which led us to work at Ubisoft Montreal on the largest game engines in the world. Afterwards, we worked on some of the most complex systems out there: Visual Studio at Microsoft, a cloud-first game engine at Google, VR operating systems at Meta, and cloud-streaming infrastructure at Xbox. Ramping up and understanding these systems was always a long, painful process - which is what led us to build tools to help developers understand this complexity.\\\n\\\nLearn more here: https://www.sourcebot.dev/\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/4ef682b8-0ac6-48a4-937d-8a64d62f34d3)\n\n",
        "url": "https://www.ycombinator.com/launches/OdD-sourcebot-the-code-understanding-platform",
        "votes": 54,
        "created_at": "2025-10-16T15:49:09.018Z"
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    "name": "Lua Global Inc",
    "slug": "lua-global-inc",
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    "website": "https://heylua.ai/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Lua is the mid-market agent platform.\r\n\r\nWe deliver enterprise reliability with the speed, flexibility, and economics that mid-market companies demand - helping them deploy AI agents that drive sales, support, and operations across everyday channels and tools.\r\n\r\nWe scale through developer agencies and channel partners, enabling rapid distribution without a large enterprise sales motion or scaled forward deployed teams. We think of Lua as an agentOS that abstracts all of the complexity required to launch enterprise grade agents and combine it with the tools needed for these agents to succeed in the real world.\r\n\r\nLua was founded by Lorcan O Cathain (CEO) and Stefan Kruger (CTO)- experienced founders who have spent 15 - 20 years each scaling technology companies across emerging markets.\r\n\r\nWe sell to mid-market enterprises and developer agencies in the US and internationally. Developers are increasingly our primary ICP but we run SMB & enterprise sales motions to accelerate our learnings and further develop our product:\r\n- SMB ($25- 1k per month): fully automated self-serve agents that handle sales and support for eCommerce companies, hotels, restaurants and general service businesses. If you’ve been on our website you’ve likely seen this.\r\n- Enterprise: We directly sell to mid-market (~ $50M- $1BN) businesses across the US and internationally to eat our own dog food and strengthen our platform.\r\n",
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    "team_size": 5,
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      {
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        "full_name": "Stefan Kruger",
        "title": "Founder/CTO",
        "founder_bio": "Stefan Kruger is the co founder and CTO of heylua.ai, a chat-first AI platform helping businesses become AI native in a couple of clicks. Before starting Lua, he was VP of Engineering at Paystack (acquired by Stripe), where he spent nearly a decade scaling fintech infrastructure across the continent. A builder at heart, Stefan has deep experience in resilient systems, orchestration, and developer tooling, and is passionate about making AI accessible in the everyday platform",
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        "id": 95467,
        "title": "Lua AI- the unified agent platform for mid-market enterprises",
        "tagline": "We make it easy for enterprises to build, deploy, and scale AI agents across their entire business.",
        "body": "[https://youtu.be/BopUplmvTmo?si=jbSAqaSmyhjuVGyM](https://youtu.be/BopUplmvTmo?si=jbSAqaSmyhjuVGyMThe)\n\n**Problem**\\\nWe disagree with nearly every aspect of how AI solutions are being sold to enterprise clients today. Large consultancy budgets, big forward deployed teams, inventive outcomes based pricing models that feed off labour budgets. Specialised platform after specialised platform.\n\nIt feels like a transitory arbitrage opportunity; as an enterprise you get the bumper sticker but no durable advantage.\n\nLua makes it easy for teams to build out their own intelligent agent layer, leveraging insights and driving outcomes across their business without the $1m+ consulting contracts, tool fatigue or outcomes tax.\n\nWe want companies to own their own outcomes - not rent them.\n\n**Our Platform**\\\nLua makes it simple to roll out agents that are deeply integrated, measurable, and under your control across your entire business. Our platform abstracts all of the complexity required to launch enterprise grade agents and combines it with the tools needed for these agents to succeed in the real world.\n\nDeveloper docs available here: https://docs.heylua.ai/overview\n\n**Journey**\\\nWe kicked off in March this year with a focus on building sales and support agents for SMBs that were integrated into their revenue engine and could be deployed in a couple of clicks across all their channels (web, app, instagram, messenger, whatsapp, etc). We built 300+ of these agents and quickly realised most partners wanted custom skills and deeper integrations to differentiate their agentic experience from their competitors and to truly succeed in the real world.\n\nTo solve this we built an abstraction layer that lets teams create their own skills and integrations on top of Lua that has quickly become our primary product.\n\n**How We Grow**\\\nDistribution is where we win. We are a small team scaling simultaneously across the US, EMEA and South East Asia. We grow through developer agencies and channel partners, enabling distribution without a large enterprise sales motion or scaled forward deployed teams.\n\n**Some of the things people are building on Lua:**\n\n* Digital banks are re-designing their core around Lua’s intelligence layer\n* On-demand delivery businesses use Lua to transition from app-based to chat first commerce\n* Growth agencies are building inventive new ways to pre-qualify leads and optimise funnel performance\n* Hotel booking engines are rolling out booking and concierge agents to their clients\n* Large family businesses are weaving Lua into all of their existing systems and tools to automate processes and aggregate insights across their business verticals.\n\n**The Team**\\\nLua was founded by [@Lorcan O Cathain](https://bookface.ycombinator.com/user/2558838) (CEO) and [@Stefan Kruger](https://bookface.ycombinator.com/user/2558847) (CTO)- we’ve spent our careers scaling technology companies across emerging markets.\n\nAsks:\n\n* We’d love you to build on Lua and get your feedback!",
        "url": "https://www.ycombinator.com/launches/Opn-lua-ai-the-unified-agent-platform-for-mid-market-enterprises",
        "votes": 34,
        "created_at": "2025-11-12T22:45:02.057Z"
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    "name": "Crunched",
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    "website": "https://usecrunched.com/",
    "all_locations": "Oslo, Oslo, Norway",
    "long_description": "Crunched is the Excel AI analyst for power users - in consulting, investment banking, and private equity. It error-checks workbooks end-to-end, builds models from scratch, and handles grunt work like extracting and linking data from IMs to template models - all within Excel so teams can review and iterate as usual.\r\n\r\nAgents struggle with tabular data - getting reliable, multi-step execution over thousands of interlinked formulas, sheets, and ranges is hard. Making Crunched good enough for people who live in Excel means knowing the pain points deeply.\r\n\r\nMichael and Philip has 10,000+ hours in Excel across consulting and finance. Markus and Lars bring deep expertise in scaling AI and enterprise solutions.\r\n\r\nWe've had easy access to first customers and are already live with firms across six European countries - we now plan to expand into the US. With >1bn total Excel users, we focus on the top 2%, highest-value Excel users globally. \r\n\r\nWe're solving one pain point at a time to create a product that doesn't just look good in a demo but actually works in production.\r\n\r\nExcel is here to stay, but the way experts model is fundamentally changing - with Crunched.",
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      "name": "Pete Koomen",
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        "user_id": 2751214,
        "full_name": "Philip Borge",
        "title": "Founder",
        "founder_bio": "Co-founder & CEO at Crunched. Previous McKinsey PE and CEO of Okkult, an AI-powered optician concept. MSc in Finance & Private Equity from the London School of Economics",
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        "linkedin_url": "https://www.linkedin.com/in/philip-z-borge-97690b149/",
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      {
        "user_id": 2978949,
        "full_name": "Lars Gjardar Musæus",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Crunched. Senior full-stack and infrastructure engineer with deep experience building production systems - from cloud platforms and distributed backends to real-time control systems. Worked closely with customers to deliver tailor-made, end-to-end applications in forward-deployed engineering teams at Bekk, built cloud infrastructure at Schibsted and Sopra Steria, and developed autonomous maritime systems at Kongsberg Defence. Holds an MSc in Cybernetics & Robotics (NTNU).",
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        "full_name": "Markus Skagemo",
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        "title": "Crunched - The AI Excel Analyst ⚡",
        "tagline": "Crunched makes consultants & finance professionals >2x their Excel modeling speed",
        "body": "Hi YC 👋\n\nWe’re [Philip](https://www.linkedin.com/in/philip-z-borge-97690b149/), [Michael](https://www.linkedin.com/in/michael-sakowski-9b9043148/), [Lars](https://www.linkedin.com/in/lars-g-mus%C3%A6us-756701174/) and [Markus](https://www.linkedin.com/in/markus-skagemo/) - and we’re building [Crunched](https://www.usecrunched.com/?utm_source=YC&utm_medium=post)\n\n# **TL;DR**\n\n**Crunched is the first AI Excel agent built by and for Excel power users**, tailored for management consulting and finance workflows\n\nWe’ve spent 10,000+ hours in Excel ourselves, and are live with consulting, IB and PE firms across Europe and the US, 2x-ing their Excel modeling speed\n\n**_Ask:_** We would love for you to introduce us to mgmt. consulting, investment banking or PE firms - contact us at [philip@usecrunched.com](mailto:philip@usecrunched.com)\n\n[**https://youtu.be/zBXue210_qo**](https://youtu.be/zBXue210_qo)\n\n# **Why we’re doing it**\n\nMichael and Philip have worked on countless deals at McKinsey and in other IB/PE roles, and it always starts and ends with an Excel model. It’s either the main deliverable itself, or the entire backbone of the slide deck.\n\nNo matter how skilled you are, manual Excel modeling is slow and super error-prone. On one of our last projects, a company’s 2030 revenue projection presented to the CEO was doubled because a colleague (promise it was a colleague), had linked the forecast to year 1 revenue growth for all years. That was a fun follow-up call afterwards.\n\nAssociates need specialized AI tools they can collaborate with directly in their workflows, to drive productivity and accuracy. The solution is not to replace Excel, but to augment it and solve one pain point at a time. That’s why we’re building Crunched.\n\n# **What we’re doing**\n\nCrunched is an Excel-native AI analyst that can:\n\n1. **_Error-check models:_** Check models for logical, formula and conceptual mistakes\n2. **_Gather data:_** Run targeted web research and extract figures from PDFs (e.g., annual reports) and link it into templates\n3. **_Build analyses:_** Build bespoke analyses from scratch, turning 1h tasks into 5-10min automated workflows\n\n![uploaded image](/media/?type=post&id=94760&key=user_uploads/2751214/b2d93de1-6fa0-44de-b6eb-3ec8197d190a)\n\nUsers are already reporting that they’re &gt;2x faster on specific tasks. We are on a mission to make it 10x across all modeling work.\n\n# **Team**\n\nMichael and Philip have 10,000+ hours of Excel experience (often until 4am) from McKinsey. Lars and Markus have years of experience shipping and scaling award winning AI enterprise solutions, and are building Crunched with the cutting-edge security needed for clients to trust us with their highly confidential data.\n\n![uploaded image](/media/?type=post&id=94760&key=user_uploads/2751214/b8c7c9db-f67a-4228-8db4-818620d713b7)\n\n# **Ask**\n\n**We’re expanding in Europe and into the US and are looking for warm intros** **to mgmt. consulting, IB and PE firms.** If you are or know any Excel power users we’d love your help.\n\nPlease reach out at [philip@usecrunched.com](mailto:philip@usecrunched.com) or book a live demo on [our website](https://usecrunched.com?utm_source=YC&utm_medium=post). All help is appreciated - **thank you!**",
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        "title": "Specific: production-ready backends from natural language",
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        "body": "Hi! 👋\n\nWe’re [Fabian](https://www.linkedin.com/in/fabian-lindfors/) and [Iman](https://www.linkedin.com/in/iman-radjavi/), and we’re building [Specific](https://specific.dev/) — an agent that builds and deploys backends from natural language.\n\nSpecific makes it effortless to create, scale, and manage production-ready backends, without configuration or coding. Just describe what you need, and Specific builds it.\n\n# Why we are working on this\n\nWe’ve spent our careers as engineers building and maintaining complex backend systems, and learning firsthand what it takes to make them reliable, secure, and scalable.\n\n* **Fabian** spent three years at **Stripe**, where he was tech lead for systems that processed tens of billions of dollars each year.\n* **Iman** spent four years at startups like **Fever** and **Braive**, building software that balanced national energy grids and managed sensitive healthcare data under strict regulatory requirements.\n\nAs AI unlocks software building at an entirely new scale and speed, backends need to keep up in reliability, security and scalability. Specific is our way of making that possible.\n\n---\n\nSee it in action: https://youtu.be/62QGL3drU44\n\n# Backends are hard\n\nBackend-as-a-service platforms have made backend development much easier, but not easy enough for a new era where AI lets anyone build software in minutes.\n\nThey still require deep understanding of concepts like database schemas, migrations, security and APIs to use effectively. That limits how powerful and flexible non-technical users can be. Ambitions often exceed what the platforms make possible.\n\nThis gap becomes particularly clear for AI coding platforms. Their agents can generate impressive web and mobile apps, but still rely on users to sign up for and connect to an external backend provider. Integrating those providers can take weeks, and maintaining them is an ongoing effort to make sure the agent truly understands how to use them.\n\n# How Specific helps\n\nSpecific offers a backend-as-a-service that’s entirely generated and maintained by our own expert coding agent. We designed it to understand user needs from natural language prompts, and to build a tailor made backend automatically.\n\nYou can connect any coding agent to Specific in minutes through our MCP server. Once connected, you can now generate fully featured, secure, and scalable backends to match any frontend.\n\nBecause the backend is built and managed by our own agent, there’s no need to teach your agent how to use an external platform or maintain fragile integrations. Specific handles everything end-to-end, scaling seamlessly as projects grow.\n\n![uploaded image](/media/?type=post&id=95350&key=user_uploads/122815/3655d431-5a32-424d-9a95-7d8f6f6f6eab)\n\nFor our initial launch, we are working with AI coding platforms like [Natively](https://natively.dev/) that create thousands of new projects _every day_. We are hearing from these platforms that they want to focus on what they do best, designing and building great apps, without worrying about backends.\n\nWith Specific, they can:\n\n* **Launch new isolated projects in seconds** through our API. Fully white-label, end users don’t need to configure anything.\n* **Scale automatically.** Projects scale up based on usage, and down to zero when idle.\n* **Integrate in minutes** by connecting through our MCP server. No need to spend weeks teaching their agents how to build and maintain backends.\n* **Enable common integrations instantly**. Authentication, payments and LLMs work out of the box with no API keys or setup required from users.\n\n# Come talk to us\n\nGet in touch at [hello@specific.dev](mailto:hello@specific.dev).\n\nWe are excited to talk to everybody who needs backends, whether you have years of experience building software, have just discovered vibe coding, or are building a coding platform for others.\n\nWe also have a waitlist that you can sign up for on our site: [specific.dev](https://specific.dev/). We will be inviting folks from the waitlist to a private beta of Specific soon. Sign up early to be one of the first to get access!",
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        "full_name": "Richard Wang",
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        "is_active": true,
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        "full_name": "Kevin Le",
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        "founder_bio": "Co-founder @ Clad Labs | Ex-Meta | UIUC Alum",
        "is_active": true,
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        "id": 94891,
        "title": "Chad IDE → the first brainrot IDE",
        "tagline": "Chad IDE integrates your brainrot vices (Tiktok, Stake, Tinder) with your agentic coding workflow",
        "body": "Sup Giga-Chads, we’re Richard and Kevin — Founders of Clad Labs\n\n**TLDR**; As highly requested we built the **CHAD IDE**. Chad integrates your brainrot vices with your agentic coding workflow. Chad increases productivity and reduces the friction of context switching.\n\n![uploaded image](/media/?type=post&id=94891&key=user_uploads/2989207/f696e775-c4bd-4fd0-afea-2046031d176b)\n\n[**https://www.youtube.com/shorts/5JJU93cFqgs**](https://www.youtube.com/shorts/5JJU93cFqgs)\n\n**The problem:**\n\nAI coding creates a time span isn't long enough to do something new, and it's not short enough to be entirely negligible. Developers are spending time off the IDE to fill the inference time gap (usually brain-rotting on their phones)\n\n* **1-5 minute wasted downtime between prompts**\n* **People often forget to come back to their code**\n* **Context-switching builds mental fatigue → decreased efficiency**\n\n**CHAD:**\n\nChad aims to manage your AI coding inference time effectively by integrating the modern workflow into a single IDE. Specifically, you can now ⬇️\n\n![uploaded image](/media/?type=post&id=94891&key=user_uploads/2989207/01f277eb-4914-40e1-85ec-5874461efd1e)\n\n* **shit-post on X**\n* **scroll Instagram/Tiktok**\n* **shoot Stake craps**\n* **swipe Tinder, etc.**\n\ndirectly from your coding agent orchestration workflow.\n\nChad ends your brainrot session when it's time to get back to work. No more losing track of time.\n\nLogin with existing Claude Code and integrate your brainrot workflow.\n\n![uploaded image](/media/?type=post&id=94891&key=user_uploads/2989207/de016cec-c3a1-4feb-b363-69c412a15cb5)\n\nIn our early beta users, we've seen an average of 15 minutes saved per hour vibe coding when users switch over to Chad. (not a research study - a survey and anecdotal results from watching beta users code on their setup vs with Chad).\n\n![uploaded image](/media/?type=post&id=94891&key=user_uploads/2989207/dd5ccb5f-2302-4ad8-8932-559bea9aa42f)\n\n**Be a Giga-Chad with the CHAD IDE**\n\n**If anyone reading is a brainrot coder, feel free to give the IDE a try.**\n\n[**https://www.cladlabs.ai/**](https://www.cladlabs.ai/)\n\nthank you Void, Pear AI, and Continue Dev teams for the guidance. Chad takes heavy inspiration from them, please check them out if you’re interested in really great open source AI coding.\n\n(yt video idea credit: miso.dope on instagram)",
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        "votes": 178,
        "created_at": "2025-10-25T04:06:30.736Z"
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    "id": 30958,
    "name": "Absurd",
    "slug": "absurd",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0753ba314978809fa3b7fa403a9b3a5c6982748c.png",
    "website": "https://absurd.com/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Absurd is an online whiteboard for filmmakers working with AI.\r\n\r\nWe use it for our own work: our Kalshi spot \"Election Day\" did 1M+ views, and our videos average 400K+ organic views.\r\n\r\nTry it at absurd.com",
    "one_liner": "The production canvas for AI film teams",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1760446134,
    "tags": [
      "Generative AI",
      "Entertainment",
      "Video",
      "Media",
      "Marketing"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/absurd",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/absurd.json",
    "year_founded": 2025,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/absurd",
    "x_url": "https://x.com/withabsurd",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
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        "user_id": 795572,
        "full_name": "Philip Ho",
        "title": "Founder/CEO",
        "founder_bio": "Absurd",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/philiptho/",
        "x_url": "https://x.com/dopadealer",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/75d619d1fcefd9441def7c1d44d330f875dbeb22.jpg"
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        "user_id": 2980105,
        "full_name": "Damian Chng",
        "title": "Founder",
        "founder_bio": "Absurd | prev. Meta",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/damian-chng",
        "x_url": "https://x.com/damian_chng",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64f7e305ef64bf77899f5a09421834b1665825eb.jpg"
      },
      {
        "user_id": 2326296,
        "full_name": "Daniel Kathein",
        "title": "Founder/CTO",
        "founder_bio": "Absurd. Previously worked on agents at NVIDIA and studied CS at CMU",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-kathein/",
        "x_url": "https://x.com/danielkathein",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df62a922e02512d094e84cdaae4bdef242b4e601.jpg"
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    "jobs": [],
    "news": [
      {
        "title": "NFMLA Expands NewNarratives Grants and Adds Absurd Fellowship",
        "url": "https://www.hollywoodreporter.com/movies/movie-news/nfmla-new-narratives-grants-absurd-ai-tools-1236651356/",
        "date": "Jul 21, 2026"
      }
    ],
    "launches": [
      {
        "id": 94646,
        "title": "Absurd — The production canvas for AI video",
        "tagline": "Our launch video got 600K+ views on X ",
        "body": "Since this launch, Absurd has become the production canvas for AI film teams. More at [absurd.com](https://absurd.com).\n\nㅤ\n\nHey everyone — we'll make your launch video!\n\nWe’re Philip, Damian, and Daniel, co-founders of Absurd.\n\n### **TL;DR**\n\nAbsurd turns your ideas into viral AI ads. \\\n\\\nHere’s an ad we made that blew up on X ([690K views](https://l.gourl.es/l/68f21298ba10b07930efb63b9484bfe66f06080e?notrack=1&u=12901289)). Another one ([470K views](https://l.gourl.es/l/7a5ee89d2fb57e15d431d5a5fe413c280db4db76?notrack=1&u=12901289)). Here’s a more artsy one ([150K views](https://l.gourl.es/l/3ddd171616572212dc8e8000d70af58f6c5dcc49?notrack=1&u=12901289)). Our [portfolio](https://absurd.com).\n\nWe built a multi-agent system that plans, generates, and edits campaigns in real time.\n\n[philip@absurd.com](https://mailto:philip@absurd.com)\n\n### **The Problem**\n\nMaking entertaining AI videos is hard.\n\nScripting. Breaking an idea into scenes, pacing it, and keeping a story coherent takes real creative skill. Most people underestimate how much of a craft that is.\n\nGeneration. There are dozens of AI video models out there, each good at something different — one nails motion, another nails faces, another gets the lighting right. Knowing which one to use, and how to deal with their quirks takes serious trial and error.\n\nBecause of these factors, most AI-generated ads look generic and perform poorly.\n\n---\n\n### **Our Solution**\n\nAutonomous AI agents handle the creative process — while we stay in the loop, stepping in to steer the output when needed. This all happens inside an interactive platform where you can step in anytime to review progress, give feedback, or steer the direction alongside our team.\n\n<https://youtu.be/YQFM08GhSk0>\n\n### **Asks**\n\n1. Follow us on [LinkedIn](https://www.linkedin.com/company/absurdco) and [X](https://x.com/dopadealer).\n2. If your team needs a studio-grade launch video with fast turnaround, we’d love to help.\n\n![uploaded image](/media/?type=post&id=94646&key=user_uploads/795572/fab19a66-c5f0-4a03-ac02-44517f88e858)\n\n",
        "url": "https://www.ycombinator.com/launches/OcY-absurd-the-production-canvas-for-ai-video",
        "votes": 147,
        "created_at": "2025-10-14T19:07:34.746Z"
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    "id": 30959,
    "name": "Kalpa Labs",
    "slug": "kalpa-labs",
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    "website": "https://kalpalabs.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building the next frontier of speech models. Generalist speech models that unlock in-context learning & strong instruction following for speech models alongside unifying existing speech capabilities like speech to text, text to speech, voice cloning, etc.",
    "one_liner": "Scaling Generalist Speech models",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759705278,
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/kalpa-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/kalpa-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kalpalabs/",
    "x_url": "https://x.com/KalpaLabsAI",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1716cc43aa0fee3a4f60b9708b803805a0a152b1.png",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
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        "user_id": 1440495,
        "full_name": "Prashant Shishodia",
        "title": "Founder/CEO",
        "founder_bio": "Pushing frontier of speech models @ KalpaLabs. Previously led full stack ML @ Google scaling to billions of queries / month. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pshishodia",
        "x_url": "https://x.com/pshishodiaa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4625372263ed9fc57602c4835230e0490eaabca.jpg"
      },
      {
        "user_id": 2039936,
        "full_name": "Gautam Jha",
        "title": "Founder/CTO",
        "founder_bio": "Pushing frontier of speech models @ KalpaLabs. Previously built nanoseconds latency software at HFTs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gautam-jha37/",
        "x_url": "https://x.com/gautam_jha_37",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91237d0933031f093d9700e86de7a68a4b6682b6.jpg"
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    ],
    "jobs": [
      {
        "id": 100411,
        "title": "Founding ML Research Engineer",
        "url": "https://www.ycombinator.com/companies/kalpa-labs/jobs/aGLio5O-founding-ml-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$180K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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    ],
    "news": [
      {
        "title": "Why the Next Leap in Speech AI Comes from Kalpa Labs",
        "url": "https://analyticsindiamag.com/ai-startups/why-the-next-leap-in-speech-ai-comes-from-kalpa-labs/",
        "date": "Sep 10, 2025"
      }
    ],
    "launches": [
      {
        "id": 95422,
        "title": "Kalpa Labs: Scaling Generalist Speech Models",
        "tagline": "Scaling Foundational speech models for In-context Learning & Instruction Following",
        "body": "# TL;DR\n\nWe’re building a **generalist speech model** - one system that does speech-to-text, text-to-speech, speech-in/speech-out reasoning, and cross-modal tasks with **LLM-level steerability and context** **engineering**. See the demo of [emergent capabilities](https://www.notion.so/2a83ca000c7780a7be71ed49447a882d?source=YC).\n\n![Video](https://youtu.be/b0gAEsp3YdM)\n\n# Problem\n\nToday’s speech stack is fragmented. You need different models, and vendors for STT, TTS, voice design, conversational agents, dubbing, even music. That **“Curse of Specialization”** creates brittle workflows, poor context carryover, and zero “system-prompt” steerability. Meanwhile, LLMs proved that one generalist model + in-context learning [unlocks entirely new use cases](https://arxiv.org/abs/2005.14165).\n\n**What’s missing in current speech models**\n\n1. **Contextual awareness:** They ignore emotional/prosodic cues and can’t adapt delivery to spoken context history. Their response is the same whether the user says the sentence while crying, laughing, or in a banal tone.\n2. **Instruction following:** There’s no real analogue to LLM system prompts like _“Speak slower for older callers” “Pronounce ‘WORA’ like ‘wah-rah’” “Use a neutral US accent unless user is in India”_.\n3. **Generalism:** Separate models for STT/TTS/music/voice cloning make cross-specialization tasks impossible. Example: _“sing a song in my voice with the following lyrics and the tone from this audio clip”_.\n\nWe’re disciples of [Sutton’s Bitter Lesson](https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson.pdf): performance eventually comes from scaling compute, data, and simple, general methods. We believe speech is where text was in 2019 - constrained by small models, fixed task boundaries, and narrow post-training. The upside is to do for speech what GPT-3/ChatGPT did for text: **one model, in-context learning, and steerability**.\n\nAudio tokenization (RVQ) and decoding stacks are ripe for redesign - big efficiency wins are still on the table.\n\n# What’s hard & what we changed\n\nAudio is token-hungry. With typical RVQ, 1s of audio ≈ 100–400 tokens. Flattened token streams like [Orpheus](https://huggingface.co/canopylabs/orpheus-3b-0.1-ft) cap useful context that consumes 8K tokens to generate 90s of audio. Approaches like [CSM-1B](https://huggingface.co/sesame/csm-1b) help with context but still decode 32+ audio tokens per step, throttling inference.\n\nWe’ve removed the long-audio bottleneck, making audio roughly as cheap to train on as text while preserving long-range context. Practically, that means, you’ll be able to generate hours of audio in one-shot and use speech models with very long interleaved text and audio system prompts.\n\n# Our Progress\n\nWe’ve pretrained speech models from 800M to 4.8B params on 2M hours of mixed-domain audio. \\\n\\\n**Cost Efficiency**: As a result of our efficient architecture, our 800M parameter model took less than $1000 to train. For a comparison, Kokoro-82M while being 10x smaller took $1000 to train on 1000x lesser data.\n\n# Emergent Behavior\n\nOur larger base models already show visible signs of emergent behaviour. We describe here, some of these behaviours - but the extent of such emergent capabilities is still under investigation.\n\nPlease checkout the audios and comparision with ElevenLabs V3 [on notion.](https://www.notion.so/2a83ca000c7780a7be71ed49447a882d?source=YC)\n\n**Disfluency & repetition handling**\\\nText: _“This is a a sentence we want our speech model to, to speak.”_\n\n**Contextual identity/accents**\\\n“I am a software engineer living in _Bangalore_.” → natural Indian English\\\n“I just moved to _Shanghai_ for a new role.” → adapts toward Chinese-English prosody\n\n\\\n**Note:** that there is no hardcoded voice switch; this emerges from context.\n\n**Prosodic context awareness without explicit tags**\\\n“I said we could _try only once_.”\\\n“I said we could _ONLY_ try once.”\\\n“_I_ said we could _ONLY_ try _ONCE_?”\n\n\\\nStress and intonation match intent without explicit tags like _&lt;laugh&gt;, &lt;gasp&gt;, &lt;surprised&gt;_\n\n**Voice diversity**\n\nThese base models can mimic a wide range of speakers/accents beyond a fixed dropdown of voices.\n\n**What we’re building**\n\nA single speech generalist you can steer like an LLM:\n\n* Speech-in / speech-out with system prompts and audio examples “adopt this tone; pronounce these domain terms like this”\n* Generalist Model: STT, TTS, conversational agents, dubbing, and cross-specialization (e.g., “sing this verse in my voice,” “explain this chart out loud in a calm tone”).\n\nWe’re solving this by\n\n1. **Scale**: keep pushing model size, data diversity, and post-training task complexity.\n2. **Align**: instruction-following for speech - system prompts + audio-in-context.\n3. **Distill**: real-time deployment targets with graceful latency/quality trade-offs.\n\n# Our Asks\n\n* Have a speech use case that current models fail at? Tell us, we’ll try our best to solve your edge cases.\n* Running speech in production? and have strong opinions on what current speech models do right or wrong. We would love your opinions. Coffee’s on us.\n* Compute partners: If you can offer clusters ≥128×B200, we’re eager to collaborate.\n* Early pilots: If you want to try out this models in early access and help us navigate the future of speech models - we’d love to chat.\n\nYou can reach out to us on \\\nEmail: [founders@kalpalabs.ai](mailto:founders@kalpalabs.ai)\\\nX : [Prashant](https://x.com/pshishodiaa) | [Gautam](https://x.com/JhaGauti) | [KalpaLabs](https://x.com/KalpaLabsAI)\\\nLinkedin: [Prashant](https://www.linkedin.com/in/pshishodia/) | [Gautam](https://www.linkedin.com/in/gautam-jha37/) | [KalpaLabs](https://www.linkedin.com/company/kalpalabs/)\n\n---\n\n# About us\n\n* **Prashant** led full-stack ML for Google Assistant; trained/evaluated models and scaled smaller Gemini variants to billions of queries/month.\n* **Gautam** built nanosecond-latency infrastructure for high-frequency trading.",
        "url": "https://www.ycombinator.com/launches/Op4-kalpa-labs-scaling-generalist-speech-models",
        "votes": 68,
        "created_at": "2025-11-11T20:09:18.793Z"
      }
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    "id": 30960,
    "name": "Metorial",
    "slug": "metorial",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d6cf9656ff81c358bc8acc1f8b0221e2f963a06.png",
    "website": "https://metorial.com",
    "all_locations": "Vienna, Vienna, Austria; Remote",
    "long_description": "Metorial gives every employee, agent, and AI client in your company one place to connect tools and skills. Governance, access control, and tracing included.",
    "one_liner": "Agentic infrastructure to power AI-native companies.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759440132,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "Austria",
      "Europe",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Tobias and Wen have been friends for over 10 years. They met in a top technical high school in Austria where they worked on many projects together. Later, they co-lead the technical development at Valicit, a ticketing startup based in Abu Dhabi."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "When MCP was released, we quickly understood its value in offering a natural language interface for LLMs to execute external tools autonomously.\r\n\r\nBut when we tried to take MCP beyond client-side apps like Cursor, setting up the infra for security and scaling turned out to be a massive time sink.\r\n\r\nThatʼs when it clicked: developers like us need a turn-key solution to plug MCP into their agents.\r\n\r\nSo we pivoted from hacking infra together to building Metorial: the Vercel for MCP."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Integrations transform LLMs from simple chatbots into agents that can perform real tasks.\r\n\r\nRecently, MCP has become the standard for connecting AI agents to external tools.\r\n\r\nMCP works great locally, but production deployments are painful.\r\n\r\nRunning MCP servers in production means managing Docker configs, handling OAuth flows, and debugging issues without proper observability.\r\n\r\nDevelopers want to ship agents now, not build infrastructure for months."
      }
    ],
    "url": "https://www.ycombinator.com/companies/metorial",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/metorial.json",
    "year_founded": 2025,
    "city": "Vienna",
    "country": "AT",
    "linkedin_url": "https://www.linkedin.com/company/metorial/",
    "x_url": "https://x.com/MetorialAi",
    "fb_url": null,
    "cb_url": "https://crunchbase.com/organization/metorial",
    "github_url": "https://github.com/metorial",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d6cf9656ff81c358bc8acc1f8b0221e2f963a06.png",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 851191,
        "full_name": "Karim (Wen) Rahme",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Metorial",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/karim-rahme",
        "x_url": "https://x.com/wen_rahme",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4648c7675ee6ff71c89f142a0b8fed51bec3068.jpg"
      },
      {
        "user_id": 2756424,
        "full_name": "Tobias Herber",
        "title": "Founder/CTO",
        "founder_bio": "Building Metorial, the integration layer for agentic AI. 3x founder. IEEE best paper author. Background in AI, distributed systems, and system software. I strive to build products that make difficult problems simple.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tobias-herber/",
        "x_url": "https://x.com/tobiasherber_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/50372e7b1f97c09a8534fd3bf7417ec70be6de8e.jpg"
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    ],
    "jobs": [
      {
        "id": 86643,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/metorial/jobs/WPkk7Yk-founding-engineer",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $180K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Amazon Web Services (AWS)",
          "Go",
          "Rust",
          "TypeScript",
          "Distributed Systems"
        ]
      },
      {
        "id": 86644,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/metorial/jobs/7617xcj-backend-engineer",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100 - $165",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Amazon Web Services (AWS)",
          "Git",
          "Go",
          "JavaScript",
          "SQL",
          "Microservices",
          "Serverless"
        ]
      },
      {
        "id": 86645,
        "title": "Infrastructure/DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/metorial/jobs/FdUgKuI-infrastructure-devops-engineer",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$100 - $170",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Amazon Web Services (AWS)",
          "Git",
          "Go"
        ]
      }
    ],
    "news": [
      {
        "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch/",
        "date": "Nov 13, 2025"
      }
    ],
    "launches": [
      {
        "id": 95390,
        "title": "Magic MCP by Metorial - 600+ integrations for vibe coding, zero config required",
        "tagline": "Connect any vibe coding tool or MCP client to 600+ integrations; zero configuration required.",
        "body": "_Hey everyone! We’re Wen and Tobias and we build Metorial -- the enterprise-grade infra layer for MCP._\n\n### **TL;DR**\n\nMagic MCP let’s you connect any MCP client, like Cursor, Claude Code, or Claude Desktop, to more than 600 integrations ranging from Sentry or Linear all the way to Salesforce or QuickBooks.\n\n![uploaded image](/media/?type=post&id=95390&key=user_uploads/2756424/e30d0da9-7fc1-41dc-8673-6f49d6887c22)\n\n# **The Problem**\n\nMetorial provides infra for deploying, connecting to, and securing MCP servers for developers and enterprises. We are working with startups, unicorns, and fortune 500 companies to let them use MCP reliably and effectively. Metorial let’s them get AI agents into production in hours, not weeks.\n\nYet, many of our customers still struggle with the basics, like integrating MCP servers into Cursor and Claude Code. Today, we’re solving that.\n\n# **The Solution**\n\nMagic MCP let’s you connect vibe coding tools to 600+ integrations (you can even create your own MCP servers and deploy them to Metorial) -- zero configuration required.\n\nMagic MCP uses the same infra that already powers thousands of MCP server deployments. You get enterprise-grade security, scaling, and reliability, sub-second boot up times, and full observability.\n\n# **A Bit More About Metorial**\n\nWe handle all of the complicated parts of MCP so our customers get to enjoy the good parts. Enterprises love us because we solve security, scalability, and access control for MCP. Developers and startups love us because they can deploy MCP servers on our platform in just 3 clicks -- we even handle OAuth. Our SDKs let them connect their agents to MCP servers on Metorial in a single function call. Our serverless runtime is the only one that solves security for multi-tenancy, supports sub-second cold start, and does stateful hibernation for long-running connections.\n\n### **The Ask**\n\n**Struggling with MCP or building agents that need integrations?**\n\nTry [**metorial.com**](http://metorial.com). We can help you integrate Metorial or Magic MCP and add any MCP servers you need.\n\nBook a call: [**cal.com/karim-rahme/launch-yc**](https://cal.com/karim-rahme/launch-yc)\n\nEmail us: [**founders@metorial.com**](mailto:founders@metorial.com)",
        "url": "https://www.ycombinator.com/launches/OoY-magic-mcp-by-metorial-600-integrations-for-vibe-coding-zero-config-required",
        "votes": 11,
        "created_at": "2025-11-12T15:44:18.214Z"
      },
      {
        "id": 94458,
        "title": "Metorial: Vercel for MCP",
        "tagline": "We help devs connect their AI agents to external tools and data via MCP.",
        "body": "# **TL;DR**\n\nMetorial gets AI agents into production in hours, not weeks. 600+ MCP servers, ready to deploy in just three clicks.\n\nWe're the **only** serverless MCP platform that can handle hibernation with sub-second cold starts as well as OAuth, enterprise-grade security, and per-user isolation.\n\nStarred by more than 3000 GitHub devs. Used by engineers at FAANG, the Big 4, and American Express. Currently piloting with leading startups and Fortune 500s.\n\n![uploaded image](/media/?type=post&id=94458&key=user_uploads/851191/b6d82eac-49d7-47f6-b4ab-5248ad638c76)\n\n### The Problem\n\nThe AI space is evolving rapidly; companies can’t afford to wast time building integrations. MCP has become the standard for connecting LLMs to external tools, but deploying MCP in production is painful. Running MCP servers yourself means managing Docker configs, handling OAuth flows, and debugging without observability. Writing serious integrations manually wastes weeks in digging through API documentation. **Developers want to ship agents now, not build infrastructure for months.**\n\n### Our Solution\n\nDeploy any of our 600+ MCP servers in just three clicks -- we even handle OAuth. Our SDKs let you connect your agents to the hosted MCP servers in a single function call. Our serverless runtime solves scaling and security issues for multi-tenant deployments by providing sub-second cold starts with per-user isolation.\n\nBuilding a complex agent with Metorial looks as simple as this:\n\n![uploaded image](/media/?type=post&id=94458&key=user_uploads/851191/33d8cc5b-5536-498a-ab88-987be2de7ebd)\n\n### Demo\n\n[https://youtu.be/\\_hAvxzTCLyQ](https://www.youtube.com/watch?v=_hAvxzTCLyQ)\n\n### Our Story\n\nWhen MCP was released, we quickly understood its value in offering a natural language interface for LLMs to execute external tools autonomously. But when we tried to take MCP beyond client-side apps like Cursor, setting up the infra for security, scaling, and per-user isolation turned out to be a massive time sink. That’s when it clicked: developers like us need a turn-key solution to plug integrations into their agents. So we pivoted from hacking infra together to building Metorial.\n\n### The Ask\n\n**Building AI agents or using MCP?**\n\nTry [**metorial.com**](http://metorial.com). We can help you integrate Metorial and add any MCP servers you need.\n\nBook a call: [**cal.com/karim-rahme/launch-yc**](https://cal.com/karim-rahme/launch-yc)\n\nEmail us: [**founders@metorial.com**](mailto:founders@metorial.com)",
        "url": "https://www.ycombinator.com/launches/OZW-metorial-vercel-for-mcp",
        "votes": 22,
        "created_at": "2025-10-07T23:51:41.191Z"
      }
    ]
  },
  {
    "id": 30962,
    "name": "Denki",
    "slug": "denki",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1543e40091902a20ba3f9f49ea46c17e0b60e86a.png",
    "website": "https://denki.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Automate internal auditing (planning, testing, documenting) to comply better with financial regulations.\r\n\r\nDenki performs audit work with 99% software, 1% services:\r\n\r\n✔️ Works on existing systems (e.g. Auditboard, Workiva, ERPs)\r\n✔️ Automates Control processes (e.g. collects evidence, runs walkthrough interviews, tests)\r\n✔️ Records every step for traceability (workpapers w/ full audit trace)\r\n\r\nFocused on SOX programs and financial regulations (SEC Rules etc.)",
    "one_liner": "The full-stack AI financial audit firm",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1759884466,
    "tags": [
      "FinOps",
      "Compliance",
      "AI",
      "AI Assistant"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Finance and Accounting"
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/denki",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/denki.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/108924481",
    "x_url": "",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 788116,
        "full_name": "Felipe Jin Li",
        "title": "Founder/CEO",
        "founder_bio": "Applying Explainable AI to SOX.\n\nPrev. McKinsey + studied Explainable AI during PhD @UCL + led design/mobile engineering @GE-backed start-up",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/felipe-jin-li-a42380132/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d0b629e62364f5d533f1350b45794dd55634c08.jpg"
      },
      {
        "user_id": 2559158,
        "full_name": "David Jin Li",
        "title": "Founder/CTO",
        "founder_bio": "Building AI for internal auditors at fintechs.\n\nPrev. CS @Imperial + financial research engineer @MacroHive (acq. BGC) + top 13 competitive programmer in the UK Informatics Olympiad",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-jin-li/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cff7e59aed674002d877ef9099607272c750db55.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 94518,
        "title": "✔️ Denki — AI for Auditors at Public Companies",
        "tagline": "Automate repetitive audit workflows to comply better with financial regulations.",
        "body": "### Strengthen your Internal Audit programs (from SOX to BSA/AML)\n\n**Denki Assurance Platform:**\n\n✔️ Works on existing systems (e.g. Auditboard, Workiva, ERPs)\n\n✔️ Automates Control processes (e.g. maps to COSO, runs walkthrough interviews, tests)\n\n✔️ Produces working papers (w/ full audit traces)\n\nRequest demo here: https://denki.ai/demo\n\n🙏 **Our ask:**\n\nIf you **know any internal auditor** or **CFO**\n\n➡️ Send an intro to [founders@denki.ai](https://mailto:founders@denki.ai) –– thank you!\n\n**The Problem**\n\nAudit is a massive cost centre ($290B+ annual spend), mandated by regulation (SOX, BSA/AML), facing talent shortages (75% of CPA will retire in the next decade) and a source of significant operational friction.\n\nIt runs the trust system of our economy, yet it’s truly outdated: sampling-based, point-in-time, manual.\\\n\\\n**The Solution**\\\n\\\n[Demo](https://youtu.be/-vFX_Cfcyxo)\n\n**The Team**\n\n**Felipe** worked at McKinsey and researched on Explainable AI during his PhD studies at UCL. He led product + mobile engineering at a GE-funded start-up.\n\n**David** built pipelines for unstructured financial data at MacroHive (research firm trusted by all top 5 hedge funds). He is a top 13 competitive programmer in the UK Informatics Olympiad, and studied Computing at Imperial.\n\n➡️ Request demo here: https://denki.ai/demo\n\n📩 **Questions?** Email us at: [founders@denki.ai](https://mailto:founders@denki.ai)\n\n🙏 **Our ask:** Make an intro for us with **an internal auditor** or **CFO** – thank you!",
        "url": "https://www.ycombinator.com/launches/OaU-denki-ai-for-auditors-at-public-companies",
        "votes": 67,
        "created_at": "2025-10-09T15:10:05.364Z"
      }
    ]
  },
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    "id": 30963,
    "name": "Teaflask",
    "slug": "teaflask",
    "former_names": [
      "Something Labs",
      "Waffer",
      "TakeCareOS"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/60aeb885d926aa8c00319dc0338da8f9a62f3786.png",
    "website": "https://teaflask.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Teaflask is the AI layer for software companies. It lets any SaaS company put an agent inside its product that carries out tasks for its users, with the controls enterprises require. Customers go live in a day, without a rebuild.\r\n\r\nCalling a model is the easy part of shipping an in-product agent. The hard part is everything around it: streaming, crash recovery, scaling, guardrails, interfaces that match the product, and knowledge that stays current as the code changes. Teaflask handles all of it with no backend changes, and gives product teams visibility into how their users actually use the product.",
    "one_liner": "Make your product AI native by tomorrow.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1760645046,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/teaflask",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/teaflask.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/teaflask/",
    "x_url": "https://x.com/TeaflaskHQ",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/60aeb885d926aa8c00319dc0338da8f9a62f3786.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 1978093,
        "full_name": "Ragav Sachdeva",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Teaflask | PhD at Oxford | Ex- Nvidia, Google, Microsoft",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ragavsachdeva",
        "x_url": "https://x.com/ragavsachdeva",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce4841c2cda8d8e28dbfbbabffc9ab425b0668c4.jpg"
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    "news": [],
    "launches": [
      {
        "id": 122231,
        "title": "Teaflask - Make your existing SaaS AI-native by tomorrow (self-serve, BYOK)",
        "tagline": "Teaflask is a managed platform for adding an agentic frontend to the SaaS product you already ship. ",
        "body": "60s brainrot-style tldr: <https://youtube.com/shorts/U_kPyM4gvMs?feature=share>\\\n\\\nHello hello, Ragav from Teaflask here!\\\n\\\nTeaflask is a managed platform for adding an agentic frontend to the SaaS product you already ship. The platform is **self-serve**, you can **bring your own Anthropic/OpenAI keys** (particularly great for companies with lots of credits!). Most of the core product is available on Free plan with generous rate limits. Paid tier is for companies who want dedicated support and SLAs.\n\n**What it is:**\\\nTeaflask has two parts: a ready-to-deploy package that becomes part of your product’s frontend, and a managed platform that runs everything behind it.\n\nThe <https://github.com/teaflask/assistant>  package can appear as a full page, sidebar, corner widget or command palette.\n\nIt can:\n\n* Answer users’ questions about your product\n* Read the current page and navigate users to the right place\n* Fill forms for users to review\n* Call your product’s APIs on a user’s behalf\n* Complete long, multi-step workflows\n* Delegate background work to subagents\n\nA particularly cool feature is: **tool views**. You can provide your own UI components for each tool, so an invoice lookup can render as an invoice component, an availability check can show a calendar etc. They can be configured to render per state (called, running, finished, failed, awaiting approval etc). See the gif below for an example.\\\nThe managed platform behind the package provides your product knowledge (**catches stale docs!**), model runtime, action controls, approvals, conversation history, real-time streaming, durable execution and autoscaling required to make this work.\n\n![uploaded image](/media/?type=post&id=122231&key=user_uploads/1978093/eea3e622-b18e-4d27-90e7-6ddf7765e660)\n\n\n**Sidenote** about the package: It’s a react package but non-react builds can import a &lt;script> tag and get the same functionality. The default package’s UI is pretty polished and ready to deploy as is. Nevertheless you can customize its theme (or even use it headlessly if you’d rather build your own UI).\n\n**How it works:**\n\n* You connect your GitHub repository to Teaflask. This is optional, although you lose some important capabilities if you skip it. More on that below.\\*\n* Teaflask scans the codebase and does two things:\n  * It helps you write documentation for your product, which you can optionally publish as a public help centre.\n  * It discovers API operations and proposes an action catalogue, or agent tools, that you can set to **Allow**, **Ask** or **Deny**.\n* In the Teaflask dashboard, you configure the system prompt, model, memory, actions, skills and other capabilities.\n* You add the @teaflask/assistant package to your frontend and connect it to your existing API client. A coding agent can usually get the whole thing set up **in about an hour.**\n\nAt runtime, the split is fairly simple: the model and agent loop run on Teaflask’s infrastructure, while anything that needs to interact with your product happens in the user’s browser.\n\nWe manage the model-provider calls, routing, auto-summarization, guardrails, memory, subagent orchestration, streaming and durable execution. Reading the current page, navigating, filling forms and calling your API happen through the Teaflask package in the browser.\n\nAPI requests use the signed-in user’s existing session. From your backend’s perspective, the request is being made by that user, through the same authentication, permissions and business logic your product already applies. You do not need to rebuild your backend or give Teaflask administrator credentials.\n\nIf a task needs approval, the run pauses and asks the user. If it takes a long time or the user closes the page, the run can resume from where it stopped.\n\n\\***What happens if you don’t want to connect your repo?**\n\nYou can choose not to connect a repository and instead write the documentation manually and upload an API specification (openapi, swagger, graphql) for Teaflask to prepare the action catalogue from. You lose two things by doing this.\n\n* **Teaflask has a provenance engine** that checks verifiable documentation claims against your latest production code. If something stops being true as the codebase changes, Teaflask flags it and can propose a correction.\n* Teaflask can rescan the codebase and **propose updates** to the action catalogue as your API changes. Without repository access, you are responsible for keeping both the documentation and API specification current.\n\nI recommend connecting your repo. Teaflask has read-only access and the sandbox your repo is \\[temporarily\\] cloned into is network fenced.\n\n**Additional features (not GA yet):**\n\n* A testing/simulation engine where you can replay conversations and workflows. Great for **testing** if smaller/cheaper models can achieve the same outcomes, if changing the model config breaks something etc.\n* Let your own users bring their own AI subscriptions.\n\n**Asks:**\\\nI would especially appreciate feedback on:\n\n* Which parts of the setup feel like too much work.\n* Whether you need server-to-server API actions in addition to browser-executed ones, particularly for operations a normal end user cannot perform (a use case that has come up is if you want to build-your-own AI customer service agent; you typically don’t expose APIs like “issue refund” etc. directly to the users). If so, what authentication and approval model would you expect?\n\nIf you’re scoping Teaflask for your company, I’d love to hear from you. Please book a call using <https://cal.com/d/5ZSVqWNGvXe1MK6mEhmPjT/discovery-call>\n\n![uploaded image](/media/?type=post&id=122231&key=user_uploads/1978093/aa698d82-5c3d-4fdf-bb6f-2f094ecde245)\n\n![uploaded image](/media/?type=post&id=122231&key=user_uploads/1978093/61fc56a7-c913-44d8-aeb3-9caa54ca1b2c)\n\n",
        "url": "https://www.ycombinator.com/launches/VnT-teaflask-make-your-existing-saas-ai-native-by-tomorrow-self-serve-byok",
        "votes": 3,
        "created_at": "2026-10-14T21:53:28.379Z"
      }
    ]
  },
  {
    "id": 30966,
    "name": "Karumi",
    "slug": "karumi",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc73de6be4a68b9b42a71616ee477afce055a351.png",
    "website": "https://www.karumi.ai/",
    "all_locations": "",
    "long_description": "Karumi is an AI agent that joins a live video call with your prospects to deliver personalized product demos, 24/7, in any language.\r\n\r\nIt bridges the gap between your landing page and your sales team by engaging visitors at the peak of their interest, turning curiosity into conversion. For those not ready to talk to sales but eager to explore, Karumi offers the next generation of interactive, self-guided demos.",
    "one_liner": "The Waymo of Personalized demos",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1761723346,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Sales"
    ],
    "regions": [
      "Unspecified"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/karumi",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/karumi.json",
    "year_founded": 2025,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/karumi-ai/",
    "x_url": "https://x.com/karumihq",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1785568,
        "full_name": "Pablo Omenaca",
        "title": "Founder/CEO",
        "founder_bio": "Previous founder engineer & COO at StackAI (YC W23), I am now building Karumi, an AI agent to help GTM teams understand software products.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pablo-omenaca-muro/",
        "x_url": "https://x.com/houmland",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33bfad3b12f69e44f11ea3fb7e2e90e8300c3a18.jpg"
      },
      {
        "user_id": 980396,
        "full_name": "Toni Lopez",
        "title": "Founder/CTO",
        "founder_bio": "Building Karumi, prev Stack AI (YC W23), IBM Research\nThree times founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tonilopezmr",
        "x_url": "https://x.com/tonilopezmr",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96812f5de50554728f4d7aa97d02abecb44d0d22.jpg"
      }
    ],
    "jobs": [
      {
        "id": 86441,
        "title": " Product Engineer (Full-Stack)",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/ISjUPEb-product-engineer-full-stack",
        "location": "New York, NY, US / Madrid, MD, ES / Madrid, Community of Madrid, ES",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70 - $150",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "React"
        ]
      },
      {
        "id": 86442,
        "title": "AI/ML Harness Engineer",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/Ht5Bs00-ai-ml-harness-engineer",
        "location": "New York, NY, US / Madrid, MD, ES / Madrid, Community of Madrid, ES",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$80 - $170",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Python"
        ]
      },
      {
        "id": 92090,
        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/mzQuJ9K-forward-deployed-engineer-fde",
        "location": "New York, NY, US / San Francisco, CA, US",
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        "role_type": null,
        "salary_range": "$100K - $150K",
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        "visa": "Will sponsor",
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        "id": 96440,
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        "url": "https://www.ycombinator.com/companies/karumi/jobs/DGBA3tj-account-executive",
        "location": "New York, NY, US",
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        "role_type": null,
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        "id": 96441,
        "title": "Growth",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/GzM0fwO-growth",
        "location": "New York, NY, US",
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        "id": 96734,
        "title": "Customer Success",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/GVmMw8S-customer-success",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "id": 96735,
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        "url": "https://www.ycombinator.com/companies/karumi/jobs/y543CfF-marketing",
        "location": "New York, NY, US",
        "type": "Full-time",
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      {
        "id": 95374,
        "title": "Karumi - Your AI demo agent. 24/7.",
        "tagline": "Finally, scalable product demos that feel human. Personalized to every customer.",
        "body": "**TL;DR: Skip the reading! Karumi delivers personalized product demos, and it’s faster if our agent just shows you! _→ [Demo now](https://www.karumi.ai/meet/start/d461afa6-f0d8-4bbe-83ac-ee88a7dbc303)_**\n\n\\\nHi all! We are [Toni](https://www.linkedin.com/in/tonilopezmr/) and [Pablo](https://www.linkedin.com/in/pablo-omenaca-muro/), and we are proud to launch [Karumi](https://www.karumi.ai/).\n\n**Most companies still demo like it’s 1995**. Be honest: when was the last time you found someone available _right now_ to give you a live demo?\n\nUsers don’t want to wait; they want to see how your product makes their lives easier.\n\nThat’s why we built Karumi, **an AI agent that delivers personalized demos, 24/7**, and **in any language**.\\\n\\\n<https://youtu.be/pAgt4iZMOGs>\n\n**Forget pre-recorded videos.** Karumi gives your users a **real demo experience** - a live, interactive video call with an AI agent that:\n\n* **Matches human reps** in clarity and engagement.\n* Is always **available**, regardless of timezone.\n* Has access to a **browser** (it opens tabs, navigates your product, etc.)\n* Is **hyper‑personalized**, pulling in every piece of contextual data (prospect profile, product knowledge) to tailor the conversation.\n* **Auto‑trains** on your product and business changes, staying up‑to‑date without manual input.\n\nYou can also see it in live in Deel’s platform here:\n\n[**https://www.loom.com/share/e7f7e00f2284478e8335f8f4d4dac6bd**](https://www.loom.com/share/e7f7e00f2284478e8335f8f4d4dac6bd**)\n\n\\\n**Why did we build Karumi?**\n\n**As SaaS companies scale, inbound leads grow quickly**. Demo requests pour in, and human reps can only handle so many before leads start slipping through the cracks. The result:\n\n❌ High-intent leads **wait days** for a personalized demo.\n\n❌ Smaller accounts go **unserved**.\n\n❌ Reps spend time chasing the **wrong fits** instead of closing deals.\n\n❌ Quantity of demos takes priority, **leaving quality and personalization behind**.\n\nTraditional sales motions don’t scale linearly with demand. Every new lead either adds friction or requires more headcount, creating bottlenecks and lost opportunities.\n\n**Why does it matter?**\n\n![uploaded image](/media/?type=post&id=95374&key=user_uploads/1785568/027980a0-b3ea-4ae9-8e5d-5207ca80f1a9)\n\n**Every minute of delay between interest and engagement means lost revenue**, especially in today’s crowded software landscape. Karumi closes that gap, giving every lead personalized attention at the moment of highest intent, including those who are currently underserved.\n\nOur customers use Karumi to:\\\n\\\n✅ **Improve conversion rates** from landing page visits to meeting**s**.\n\n✅ **Serve** segments that previously went **unserved**.\n\n✅ **Shorten sales cycles** by combining discovery, qualification & demonstration steps.\n\n✅ **Capture inbound demand** during product launches or marketing surges.\n\n**Our ask**\n\nTry Karumi today on our platform! **Here the link to try our demo now! (_Open it on your laptop!_)** →\n\n[**https://www.karumi.ai/meet/start/d461afa6-f0d8-4bbe-83ac-ee88a7dbc303**](https://www.karumi.ai/meet/start/d461afa6-f0d8-4bbe-83ac-ee88a7dbc303**)\n\nWant to talk with us?\n\n* Email us at [**founders@karumi.ai**](mailto:founders@karumi.ai)\n* Book a meeting through this [link](https://cal.com/team/karumi/launch)\n* Visit our [Website](https://www.karumi.ai)\n\n**More about the team:**\n\nWe faced this problem firsthand at our previous company, StackAI (YC W23). Our GTM team struggled to keep up with product changes and deliver consistent demos at scale. They were constantly pulled into demos with customers, so we built an AI agent to do it for them:\n\n* **Toni Lopez (CTO)** - founding engineer at StackAI (YC W23), software developer at IBM Research, serial entrepreneur\n* **Pablo Omenaca (CEO)** - COO & founding engineer at StackAI (YC W23), MIT grad, BCG Gamma\n\n  ![uploaded image](/media/?type=post&id=95374&key=user_uploads/1785568/e393d31d-d1cd-4e67-ae13-18c20aa30a1f)\n\n",
        "url": "https://www.ycombinator.com/launches/OoI-karumi-your-ai-demo-agent-24-7",
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        "created_at": "2025-11-10T20:40:24.571Z"
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    "website": "https://perseus.computer",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Perseus takes an iterative branching approach to search in high dimensional spaces.\r\n\r\nOur first product helps coding agents find the right codebase context before they write. It searches files, symbols, and dependencies in parallel, so models can make better changes with less trial and error. Perseus Search gives Mythos-level programming ability to Opus-level coding agents.",
    "one_liner": "Applied Lab focused on Search in Latent Spaces.",
    "team_size": 4,
    "industry": "B2B",
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    "regions": [
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      "South Asia",
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/perseus.json",
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    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/perseus-computer",
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        "full_name": "Samrath Chadha",
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      {
        "id": 94906,
        "title": "Mantle - Automate your back office",
        "tagline": "Build internal agents to automate back office work with one prompt",
        "body": "Hey! We’re building Mantle - a clear-cut way to do your repetitive work on autopilot.\n\n**TL;DR**: We think you’re wasting human potential on boring shit. [Book a call here.](http://cal.com/team/mantle/customer-meeting)\n\nWe do this by:\n\n1. **connecting to your tools:** pulling information securely, and building a constantly updating context layer for agents to operate on\n2. **creating and managing your agents:** enter in one prompt, and our system will make the perfect agent to do your work. no fixed workflows, we focus on the goal and allow agents to move dynamically like a human would\n3. **handling updates, schedules and everything else:** whether a new lead pops up in your CRM, a new support ticket rolls into your email, or it’s Friday and you need a report on which leads are the most likely to churn - Mantle handles it all and runs the agents in the background\n\nHere’s Mantle doing a few cool things:\n\n1\\. Searches Stripe for invoices, PostHog for product usage data, and HubSpot for the customer profile - it then uses its context to **generate a report with action items for your customers and sends them to you in Slack.** We recommend putting this on a daily schedule!\n\n![uploaded image](/media/?type=post&id=94906&key=user_uploads/2522177/5cbfd593-9504-4a94-9400-d5cf9c6591d1)\n\n2\\. **Triggers automatically when you get an inbound meeting -** goes through your past calls with the person (if any), searches the web and your Notion for information about them - and writes the information directly into your calendar app (it edits the invite only for you)!\n\n![uploaded image](/media/?type=post&id=94906&key=user_uploads/2522177/4809c2a8-1d5f-4018-8980-4748c5af23e3)\n\n3\\. When you get an email - if valid (not spam/promotion), **we auto-draft a reply to it and store it in your email client.** This draft matches your exact tone and has insights from your past emails, Notion, and whatever else you give it access to. It uses the context layer to learn and search about the person through these tools extremely efficiently, quickly finding all relevant data.\n\n![uploaded image](/media/?type=post&id=94906&key=user_uploads/2522177/384c4258-c5ff-4101-b3c1-de2a4bcb9f56)\n\nWe’ll boost your team’s efficiency 10x in a week. [Book a call here to make that happen.](http://cal.com/team/mantle/customer-meeting)\n\n![uploaded image](/media/?type=post&id=94906&key=user_uploads/89898/24d9fe9b-6bc5-4300-8fc1-63a8e5c24951)\n\n",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lemma is production monitoring for AI agents. We catch the silent failures your observability tools and evals miss (think bad tool calls, lost context, and infinite loops) before your users find them.",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/uselemma",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "user_id": 1798805,
        "full_name": "Jerry Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Lemma (YC F25) | Reliability platform for AI agents",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jerry-n-zhang/",
        "x_url": "https://x.com/zjearbear",
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      },
      {
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        "full_name": "Cole Gawin",
        "title": "Founder/CTO",
        "founder_bio": "developing the next generation of intelligent systems @ lemma (f25) | ex-USC",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/colegawin",
        "x_url": "https://x.com/colegawin_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/deca21906919edc6e42060d0665ec4c3ae3d597a.jpg"
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        "id": 104341,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/uselemma/jobs/wrFU6bU-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "AI/ML Engineer",
        "url": "https://www.ycombinator.com/companies/uselemma/jobs/vyHNWKs-ai-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$120K - $200K",
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      {
        "id": 95219,
        "title": "Lemma: Continuous Learning for AI Agents",
        "tagline": "We enable AI agents to continuously improve by turning real user feedback into automated prompt optimizations. ",
        "body": "**TL;DR:**\n\nLemma is the first evaluation + observability platform built not just to measure performance, but to improve it automatically. We help AI agents learn from real user feedback and production data, closing the loop so your prompts and agents continuously optimize themselves over time.\n\n**Launch Video:** https://www.youtube.com/watch?v=E4_v-pY_4fs\n\nHey everyone! We’re [Jerry](https://www.linkedin.com/in/jerry-n-zhang/) and [Cole](https://www.linkedin.com/in/colegawin/), co-founders of [Lemma](https://www.uselemma.ai/) (YC F25).\n\n**The Problem:**\n\n**AI agents don’t learn from their mistakes. In fact, they get worse with use.**\n\nIn production, prompts and agents continuously degrade due to real-world input drift (new user behaviors or unseen edge cases). Agent performance can often **drop \\~40% in a few weeks**, and suddenly what worked in testing breaks in front of customers.\n\nWhen that happens, engineers are forced to dig through logs, collect failing examples, and manually tweak prompts rather than building core product features.\n\n**Solution:**\n\nThat’s why we built **Lemma: the first end-to-end system that closes the loop between agent deployment and improvement.**\n\n**Here's what that means:**\n\n**Step 1:** Lemma detects failed outcomes directly from live traffic, and it automatically identifies the exact cause in an agent chain.\n\n**Step 2:** Lemma alerts you, and with one click, it runs targeted prompt optimizations to fix the failing behavior without any manual tracing or guesswork.\n\n**Step 3:** We give you back an improved prompt and automatically open a PR in your codebase so your prompts can live where you want them. Alternatively, you can also fetch your prompt from the Lemma dashboard.\n\n**Plus, Lemma provides all the LLM eval and observability features you rely on, just reimagined for continuous learning:**\n\n* Data-ingestion pipeline to bring your existing eval sets and automatically flag inconsistencies and gaps\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/4f862c09-dce0-48da-91fe-1a152a5d82da)\n\n* Prompt editor and inference support for any closed & open-source model for prompt iteration.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/92464a28-ab54-4511-bc79-fd3e4f9d4823)\n\n* Agent tracing observability with live drift detection, regression alerts, and performance visibility across real user interactions.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/2b82ecee-1965-4fc0-831d-36b76db3f064)\n\nTeams using Lemma cut manual prompt iteration by 90%, resolve production drifts in minutes instead of days, and improve model performance \\~2–5% every optimization cycle.\n\n**Our Story:**\n\nWe met freshman year at USC and have been building together ever since instead of going to classes.\n\nBefore starting Lemma, we were engineers at two high growth, AI-native startups: Tandem (AI for healthcare) and Chipstack (AI agents for chip design). At both companies, setting up evaluations looked like clunky Retool dashboards and multiple engineers manually tweaking experiments. We built internal systems that automated both running the evaluations themselves, as well as the error-driven feedback loop. The result: 2x accuracy improvement and speed of iteration.\n\nWe soon realized every AI company was reinventing the same internal tooling in-house. So we left college, joined YC, and are now bringing continuous learning infrastructure to everyone else.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/53754495-215a-47aa-884d-bae4a59f9a68)\n\n**Ask**\n\n**Try our platform** - If you’re building with LLMs and run a ton of prompt or eval experiments, we’d love for you to work with us.\n\n**Introductions** - If you know a Head of AI/Eng or CTO at a pre-seed to Series A startup, we owe you lunch :)\n\nPlease reach out at [jerry@uselemma.ai](mailto:jerry@uselemma.ai) or book a live demo on our website [uselemma.ai](http://uselemma.ai). All help is appreciated - thank you!\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/53c71689-276c-4993-b693-50aa8a492566)\n\n",
        "url": "https://www.ycombinator.com/launches/Oln-lemma-continuous-learning-for-ai-agents",
        "votes": 204,
        "created_at": "2025-11-05T19:58:08.940Z"
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    "name": "Jarmin",
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    "website": "https://jarmin.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Jarmin.ai builds AI employees for human-level roles. It learns its responsibilities, understands your data, embeds into your systems, and becomes part of your team's day-to-day workflow. Completely hand over full initiatives or individual tasks.\r\n\r\nHire AI ML Engineers, Account Executives, Paralegals, Financial analysts, Compliance analysts, and more.\r\n\r\nJarmin’s founding team is from Meta SuperIntelligence Labs (Staff Engineers), Apple (Machine Learning Engineer), AWS (scaling infra), Lockheed-Martin (Research), and JPMorganChase (SWE) with experience building AI/ML and automating complex work of Researchers, Data Scientists, ML Engineers with AI.",
    "one_liner": "AI Employees for human-level roles",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762304310,
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    "batch": "Fall 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/jarmin-ai",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 102484,
        "full_name": "Chalmers Brown",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Jarmin.ai\n\nEx-Meta SuperIntelligence Labs, Staff Engineer | Ex-Techstars Founder | Ex-JPMorganChase SWE  | Team USA Athlete\n\nUsing experience automating the work of Researchers, Data Scientists, Machine Learning Engineers to bring Jarmin to life.\n\nEducation:\n- Stanford Engineering Everywhere program\n- Harvard Business School Online\n- Rutgers University (Computer Science & Pre-Med)",
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        "user_id": 2210451,
        "full_name": "Shirsendu Halder",
        "title": "Co-Founder & Head of ML",
        "founder_bio": "Prev:\n- ML/GenAI research at Apple\n- Research for Lockheed Martin\n- Research at INRIA, Universite Laval, Indian Statistical Institute\n- Published ML/CV papers at CVPR (best paper), ICCV, ACCV, IJCV, etc\n\nEducation:\n- CS/Robotics at Carnegie Mellon\n- CS at IIT Roorkee",
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        "linkedin_url": "https://www.linkedin.com/in/shirsenduhalder/",
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        "user_id": 808469,
        "full_name": "Zack Leman",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Jarmin.ai\n\nPreviously\n- Staff Engineer at Meta Superintelligence Labs\n- SWE at Amazon Web Services (AWS)\n- CTO & co-founder of (catch) health\n- Founding SWE at Artera\n\nEducation:\nBusiness Bridge Program @ The Tuck School of Business at Dartmouth\nBowdoin College (Neuroscience & CS double major)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zackleman/",
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      {
        "id": 104829,
        "title": "Member of Technical Staff (Agent Infrastructure)",
        "url": "https://www.ycombinator.com/companies/jarmin/jobs/rsbdl57-member-of-technical-staff-agent-infrastructure",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$200K - $300K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Distributed Systems",
          "AI Agents"
        ]
      },
      {
        "id": 104830,
        "title": "Member of Technical Staff (Agents)",
        "url": "https://www.ycombinator.com/companies/jarmin/jobs/xvu8j5U-member-of-technical-staff-agents",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$200K - $300K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "AI Agents"
        ]
      },
      {
        "id": 104831,
        "title": "Member of Technical Staff (Product)",
        "url": "https://www.ycombinator.com/companies/jarmin/jobs/KctsIZN-member-of-technical-staff-product",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$200K - $300K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Design systems",
          "AI Agents"
        ]
      },
      {
        "id": 104832,
        "title": "Member of Technical Staff (Evals)",
        "url": "https://www.ycombinator.com/companies/jarmin/jobs/K9ot5wF-member-of-technical-staff-evals",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $300K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Machine Learning",
          "Evals"
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        "id": 104833,
        "title": "Member of Technical Staff (Models)",
        "url": "https://www.ycombinator.com/companies/jarmin/jobs/C10ltH6-member-of-technical-staff-models",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
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        "id": 108288,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/jarmin/jobs/PmyDU1t-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $300K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Distributed Systems",
          "Software Architecture",
          "AI Agents"
        ]
      },
      {
        "id": 109580,
        "title": "Founding Sales - Account Executive",
        "url": "https://www.ycombinator.com/companies/jarmin/jobs/jl80fR1-founding-sales-account-executive",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $300K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch/",
        "date": "Nov 13, 2025"
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    "launches": [
      {
        "id": 95358,
        "title": "Jarmin.ai - You can now hire 24/7 Machine Learning Engineer employees",
        "tagline": "Team from Meta (SuperIntelligence Labs), Apple (ML), AWS (Infra), Lockheed-Martin (Research), JPMorganChase (SWE)",
        "body": "![uploaded image](/media/?type=post&id=95358&key=user_uploads/102484/0576d378-3041-486d-b170-c6dd2fa398eb)\n\n**TLDR**\\\nJarmin is an autonomous ML engineer that ships production AI/ML features. Assign projects or individual tasks, and Jarmin handles the end-to-end workflow for models, pipelines, testing, and improvements.\n\nhttps://youtu.be/HjWlOLEn2JI\n\n**Our Team is impressive with the right experience**\\\nChalmers and Zack were Staff Engineers at Meta Super Intelligence labs building LLM training infrastructure and agents to assist ML Engineers. Before Meta, Zack built scalable real-time infra at AWS. Shir is similarly entrenched in the ML world, as a Research ML Engineer at Apple shipping production ML to billions of users and a Researcher at Lockheed Martin.\n\n**The Problem**\\\nPrompt engineering using Claude Code/Cursor isn’t enough to handle production ML workflows such as domain-specific feature engineering, model selection under constraints, hyperparameter optimization, and many more nuanced decisions that make it nearly impossible to move fast without dedicated ML engineering resources.\n\nHiring ML engineers can take 3-6+ months at $200K+ annually with costs skyrocketing for top talent. The barrier is even higher for SMBs: you need to build infrastructure, hire specialized engineers, and compete with tech giants, so your data sits unused. Companies with ML teams aren't much better off. Engineers spend most of their time on operational overhead (data wrangling, pipeline debugging, infrastructure maintenance) instead of innovation.\n\n**How Jarmin Works**\\\nTalk to Jarmin about what you want to build via our chat UI. Jarmin understands your ML goals, connects to your data sources, experiments with approaches, and deploys production pipelines. Under the hood, Jarmin is a system of proprietary agents, models, automations that each handle portions of the ML lifecycle. This system enables Jarmin to execute on the hundreds of micro-decisions ML Engineers typically have to handle in the ML development lifecycle.\n\nYou choose your level of involvement: full autonomy or approval at key decision points.\n\n![uploaded image](/media/?type=post&id=95358&key=user_uploads/102484/bf6c81c0-b599-43ab-8207-e7b1d6077684)\n\n**Our Vision**\\\nWe're not replacing people. We are giving them superpowers. We will enable the competitive advantage that used to belong only to companies with top-tier AI/ML teams to be accessible to everyone.\n\nOur vision is for every company to have a top-tier AI/ML team.\n\n**A Jarmin For Every Industry**\\\nJarmin can be used in any industry that could be improved with custom AI. We’ve seen Jarmin be helpful for: semiconductor manufacturers catching defects, biotech companies analyzing microbes, AI marketing platforms, social media apps and marketplaces building recommendation systems. Different industries, same story. They've got big ideas and now they finally have the ML horsepower to pull them off.\n\n**Get Started**\\\nContact us at [**chalmers@jarmin.ai**](mailto:chalmers@jarmin.ai) to hire Jarmin.",
        "url": "https://www.ycombinator.com/launches/Oo2-jarmin-ai-you-can-now-hire-24-7-machine-learning-engineer-employees",
        "votes": 112,
        "created_at": "2025-11-10T14:56:31.683Z"
      }
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    "id": 30975,
    "name": "MadeThis",
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      "Castari"
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    "long_description": "",
    "one_liner": "The autonomous business platform",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1762394891,
    "tags": [
      "Operations",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/madethis.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/made-this-inc/",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1070542,
        "full_name": "Jacob Wright",
        "title": "Founder/CEO",
        "founder_bio": "Founder of MadeThis | Built & scaled AI consumer app to 1m+ users | Former founding engineer & FDE manager at RunPod. Built out RunPod's growth engineering & FDE teams as we scaled to $100m in revenue",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jacob-c-wright",
        "x_url": "https://x.com/jehovahscript",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c139be22efd43a9737b6d4fe9cadf4ea85a4bf82.jpg"
      },
      {
        "user_id": 1372064,
        "full_name": "Cambree Bernkopf",
        "title": "Founder",
        "founder_bio": "Previously Co-Founder of MadeThis | Built & scaled AI consumer app to 1m+ users | Led product design for Remi's (YC W22) consumer facing products at 19 years old\nNow running Bernie Studios, a Design Studio for venture backed startups.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cambree-bernkopf-3385b0250",
        "x_url": "https://x.com/cambreedesigns",
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      },
      {
        "user_id": 1218017,
        "full_name": "Santiago Gomez Paz",
        "title": "Founder",
        "founder_bio": "Building MadeThis. Previously founded Zaymo (YC W24), researched synthetic data at MIT CSAIL, and worked in product management at Turing.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gomezpaz",
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    ],
    "jobs": [
      {
        "id": 105107,
        "title": "Founding Engineer, Platform",
        "url": "https://www.ycombinator.com/companies/madethis/jobs/gQPZaNB-founding-engineer-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $350K",
        "equity_range": "0.10% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Python",
          "React Native",
          "TypeScript",
          "Distributed Systems",
          "Machine Learning",
          "LLMs",
          "Fine-tuning",
          "Evals"
        ]
      },
      {
        "id": 105108,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/madethis/jobs/dgBaRrI-forward-deployed-engineer",
        "location": "San Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $350K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Python",
          "TypeScript",
          "Machine Learning",
          "Fine-tuning",
          "Evals"
        ]
      },
      {
        "id": 106822,
        "title": "Head of Research",
        "url": "https://www.ycombinator.com/companies/madethis/jobs/Ojbxcjv-head-of-research",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$250K - $500K",
        "equity_range": "1.00% - 5.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "Machine Learning",
          "Fine-tuning",
          "AI Agents"
        ]
      },
      {
        "id": 106823,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/madethis/jobs/QNBSA0l-founding-account-executive",
        "location": "San Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 108368,
        "title": "MadeThis: The platform for self-driving businesses",
        "tagline": "Build a business that runs itself",
        "body": "**TL;DR:** MadeThis helps users launch a business in &lt; 10 minutes and handles all of the busy work.\n\n<https://youtu.be/phvdoK1Fktg>\n\nMadeThis provides everything you’d need to run your business:\n\n* a website\n* legal incorporation\n* payments\n* marketing content\n* paid ads\n* social integration\n* etc.\n\nAND the team of AI teammates to manage it all.\n\nWithin the last 100 days, over 20,000 businesses have launched on MadeThis and $100,000s have been generated through the platform.\\\n\\\nWith customers ranging from first time founders to business owners doing $50m+ per year, MadeThis helps turn any company into a self-driving company.\n\nGet started today at <https://madethis.com>\n\nMid-market enterprise doing $10m+ in revenue? Wanting custom AI teammates? Reach out to [jacob@madethis.com](mailto:jacob@madethis.com)",
        "url": "https://www.ycombinator.com/launches/SBs-madethis-the-platform-for-self-driving-businesses",
        "votes": 1,
        "created_at": "2026-07-30T16:40:00.795Z"
      },
      {
        "id": 97921,
        "title": "Castari – The runtime for agents that need a computer",
        "tagline": "Your agent executes code, calls tools, and runs for hours. We give it a sandbox, an endpoint, and observability — with one command.",
        "body": "### TL;DR\n\nCastari is hosting infrastructure for agents that need more than an API call. Run `cast deploy` and your agent gets a secure sandbox, auto-scaling endpoint, and full observability.\n\nPublic beta is live today.\n\n<https://youtu.be/2fpCTj051kY>\n\n---\n\n### The problem\n\nSerious agents aren’t just “call an API and done.”\n\nThey execute code, hit tools and browsers, run for minutes to hours, and touch sensitive systems. Every team ends up rebuilding the same fragile setup:\n\n* homegrown agentic harnesses\n* stitched-together sandboxes/microVMs/containers/queues\n* logs and traces scattered everywhere\n* hacky snapshots and suspect secret handling\n\nSo:\n\n* every agent needs its **own** mini-runtime\n* debugging one run is detective work\n* adding a new agent feels like starting a new infra project\n\nDeploying agents that work great locally turns into wrangling infrastructure.\n\n---\n\n### **The problem**\n\nSerious agents aren't chatbots. They execute code, call tools, touch filesystems, and run for hours. They need a computer.\n\nBut there's no good way to put them in production. You end up stitching together containers, queues, and compute layers — rebuilding the same infrastructure every team rebuilds. The agent works on your laptop. Getting it to work reliably for users takes weeks.\n\nWe hit this ourselves. We built an AI consumer app to 2M+ members while at RunPod (scaled to $100M revenue). The hardest part was never the model — it was the harness. Every time we shipped a new agent, we were rebuilding sandboxing, scaling, secrets, and monitoring from scratch.\n\n### **What we built**\n\nCastari wraps your agent in a secure sandbox and gives you back a production endpoint.\n\n```\nnpm install -g @castari/cli\ncast login\ncast deploy\n```\n\nYour agent now has:\n\n* **Secure sandbox** — full isolation. Your agent can safely execute code, use browsers, and access filesystems\n* **Auto-scaling endpoint** — scales with demand, no capacity planning\n* **Observability** — trace every tool call, decision, and output in real time\n* **Multi-model support** — Claude, OpenAI, xAI, open source. Your code stays the same\n* **Zero lock-in** — remove Castari and your agent still runs on vanilla Claude Agent SDK\n\n---\n\n### **How we're different**\n\nMost tools give you primitives — a sandbox API, a container runtime, a compute layer. You still stitch it together yourself.\n\nCastari wraps around your agent. You define it declaratively, we manage the lifecycle: provisioning, versioning, execution, scaling, teardown. You write agent logic, not infrastructure code.\n\n### **What's next**\n\n* Better tracing and observability — debug agent behavior in production, not after the fact\n* Higher sandbox concurrency limits — run more agents in parallel\n* Forever-running sandboxes — agents that stay alive indefinitely\n\n---\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [@Cambree Bernkopf](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ users, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n---\n\n### Try it\n\nDocs: [docs.castari.com](http://docs.castari.com)\n\nWebsite: [castari.com](http://castari.com)\n\nCLI: `npm install -g @castari/cli`\n\nOr email [jacob@castari.com](mailto:jacob@castari.com) — happy to get you deployed.\n\n— Jacob & Cambree\n\n![uploaded image](/media/?type=post&id=97921&key=user_uploads/1070542/1e7ef564-ad96-4b4e-aa0e-80212ee05604)\n\n",
        "url": "https://www.ycombinator.com/launches/PTN-castari-the-runtime-for-agents-that-need-a-computer",
        "votes": 5,
        "created_at": "2026-02-17T23:23:56.820Z"
      },
      {
        "id": 95573,
        "title": "Castari - Vercel for AI Agents",
        "tagline": "Deploy your sandboxed agents with Castari",
        "body": "Hey! We’re Jacob Wright & Cambree Bernkopf, founders of [Castari](https://castari.com).\n\n### **TL;DR**\n\n**Castari lets teams deploy AI agents to secure, autoscaling sandboxes in seconds.**\n\nYou write agent logic with the **Claude Agent SDK (other frameworks coming soon)**. We turn it into a production-grade endpoint.\n\nWe’re especially focused on:\n\n* Teams building **internal agents** (ops, support, data, eng workflows).\n* Companies whose **core product is an agent** built on Claude Agent SDK and need a safe, reliable way to run it.\n\n### Launch Video:\n\nhttps://youtu.be/81K80OivtAc\n\n### The Problem:\n\nSerious agents are not just a single API call. [Agents need a computer.](https://www.anthropic.com/engineering/building-agents-with-the-claude-agent-sdk)\n\nThey execute code, call tools and browsers, run for minutes instead of milliseconds, and touch sensitive systems. Most teams end up rebuilding the same fragile setup:\n\n* Homegrown agent harnesses\n* Sandboxes, file systems, and queues stitched together\n* Logs and traces scattered across many services\n* Ad hoc snapshots and risky secret handling\n\nThe result:\n\n* Every agent needs its own mini runtime\n* Debugging one agent run feels like detective work\n* Adding a new agent feels like starting a new infra project\n\nGood agents stall at “cool demo” instead of reaching production. Deploying agents becomes a full-time infrastructure problem.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/89898/44917ba7-819c-4c41-a80f-ef359054b19e)\n\n### How Castari solves it\n\nWe’re building Castari to be the **natural runtime for AI agents built on Claude Agent SDK**. We wrap the entire agent in a sandbox, deploy it, and provide you with an endpoint url that auto-scales as requests come in. No need to write code in your tools to manage your sandbox lifecycle.\n\n#### **1. Drop in a config file → get a production runtime**\n\nIn your Claude Agent SDK repo:\n\n* Add a `castari.yaml` (entrypoint, tools, env vars)\n* Run `castari deploy`\n\nThat’s it. Your agent is now running in a secure sandbox with an endpoint, UI, and observability.\n\nWhether that agent is:\n\n* an **internal system** your team uses\n* a **customer-facing agent** that _is_ your product\n\nthe deployment workflow is identical and boring (in the good way).\n\n#### **2. Sandboxing & safety, built-in**\n\n* Every run executes in an isolated sandbox designed for tool-using agents\n* You design the behavior; we handle isolation and scaling\n* No more duct-taping together sandbox primitives for specific tools\n\n**Bottom line:** You keep building on **Claude Agent SDK** the way you already are — for internal workflows or core products. Castari turns that into a safe, observable, production-ready runtime.\n\n### Why Castari is different\n\n**E2B, Modal, Daytona, Cloudflare** (and friends) give you powerful sandbox and compute primitives.\n\n**Castari sits one layer up:**\n\nCastari wraps around your Claude Agent SDK-based agents so you can define them declaratively and run them in secure sandboxes, without owning the underlying sandbox lifecycle.\n\n* **Agent-first semantics**: runs, sessions, tools, snapshots are native concepts we manage.\n* **Zero framework lock-in**: remove Castari and your agent still runs on vanilla Claude Agent SDK; keep Castari and your infra team gets its life back.\n* **Focused start**: deeply integrated with **Claude Agent SDK** today, with the same “drop-in config” experience coming to other frameworks next.\n\nWe’re building the runtime we wish existed for agents.\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [**@Cambree Bernkopf**](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ members, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/1070542/5fbe422a-1cc4-49e3-95ce-8740164b600e)\n\n### Ask: early pilot access\n\nWe are opening a limited pilot for:\n\n* Teams building internal agents who need a safer, more reliable runtime\n* Companies building agent centric products that need to run in production without bespoke infra\n\nIf that is you and you are tired of wrestling with sandboxes, observability, and brittle tooling:\n\n→ Email [**jacob@castari.com**](mailto:jacob@castari.com) with subject “Castari Pilot” and 2 to 3 sentences about your agent stack and use case.\\\n→ Check out our open source repo for using any model with Claude Agent SDK on [GitHub](https://github.com/castar-ventures/castari-proxy).\\\n→ Join the waitlist on [**castari.com**](http://castari.com) to hear about our first releases.\n\nJacob, Cambree, and the Castari team",
        "url": "https://www.ycombinator.com/launches/OrV-castari-vercel-for-ai-agents",
        "votes": 20,
        "created_at": "2025-11-17T20:28:20.453Z"
      }
    ]
  },
  {
    "id": 30982,
    "name": "Boom AI",
    "slug": "boom-ai",
    "former_names": [
      "BOOM"
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    "website": "https://useboom.ai",
    "all_locations": "Mexico City, CDMX, Mexico",
    "long_description": "Boom reaches out to your customers before you lose them.\r\n\r\nWe run proactive outbound conversations at scale: recovering churned users, re-engaging drop-offs, and protecting revenue you thought was gone. AI agents hold real conversations with your customers over SMS, email, WhatsApp, or phone, in their language, on the channel they actually answer.\r\n\r\nEvery month, companies lose 5-15% of revenue to churn, and more walks out through abandoned signups and failed onboarding. The tools built to fix this don't work. Win-back emails get ignored. Cancel flows only catch people at the door. Hiring humans doesn't scale. Boom does the one thing that works: a real conversation. 1,000x the reach of manual outreach, and the customer can reply.",
    "one_liner": "AI agents that recover lost revenue through real conversations.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1760834768,
    "tags": [
      "B2B",
      "E-commerce",
      "SMB",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "Mexico",
      "Latin America"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/boom-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/boom-ai.json",
    "year_founded": 2025,
    "city": "Mexico City",
    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/use-boom-ai",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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    "founders": [
      {
        "user_id": 360287,
        "full_name": "Juan Casian",
        "title": "Founder/CEO",
        "founder_bio": "I’m the Co-Founder and CEO of Boom, where we’re building the AI employee layer for e-commerce: virtual agents that help brands close more sales by automating customer interactions. Before this, I dropped out of college to build Atrato (YC W21), one of Latin America’s leading Buy Now Pay Later companies, which I scaled from 0 to ~$20M in annualized revenue before it was acquired. I started as CTO and became CEO, which made learn how to sell, lead, and scale.",
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        "linkedin_url": "https://www.linkedin.com/in/juancasian/",
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      {
        "user_id": 1178072,
        "full_name": "Sergio Garcia",
        "title": "Founder",
        "founder_bio": "I’m the Co-Founder and CPO at Boom, where I lead product and turn complex tech into simple, delightful experiences. Before Boom, I was CTO at Atrato (YC W21), scaling one of Latin America’s top BNPL platforms from the ground up. I studied Mechatronics Engineer at ITESM, grew from a self-taught programmer into CTO, and stay driven by building products people love. Former third-division soccer player, now a marathon runner. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sergiogarciaglz/",
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      },
      {
        "user_id": 623803,
        "full_name": "Jose Toscano",
        "title": "Founder/CTO",
        "founder_bio": "I’m the Co-Founder and CTO of Boom, where I lead our AI efforts and tackle the hardest technical problems behind the product. Before Boom, I was the first engineer at Atrato (YC W21), helping scale a BNPL platform that processed millions in loan applications each month. I hold a double major in Mechatronics (ITESM) and Automation (Hochschule Esslingen). I focus on practical AI that drives business results. I also do hackathons for fun and have won six recently. Outside work I code side projects",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josecarlostoscano/",
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      {
        "id": 94838,
        "title": "Boom AI: Your AI Growth Team for E-commerce Brands 🚀",
        "tagline": "Turn lost interactions into sales with your 24/7 AI team.",
        "body": "**TL;DR** – Boom is your AI growth team for e-commerce that handles sales, support, and retention automatically. Most brands focus on bringing visitors to their site, only to lose 99% of them before checkout. Boom changes that. Our AI replies to customer questions instantly over Whatsapp, Instagram, Facebook, and Web Chat. We also proactively reach out to customers by reminding them about abandoned carts and making personalized product recommendations. We've already become a top-five sales channel for our first customers.\n\nhttps://youtu.be/IwUjEDUdUVY\n\nMost e-commerce brands don’t lose customers because of bad products. They lose them because no one replies fast enough. 56% of all customer interactions happen outside working hours, and most go unanswered.\n\nBoom gives every brand its own AI sales, support, and marketing team that works 24/7. It answers product and order questions, follows up on abandoned checkouts, notifies customers when items are back in stock, and runs personalized campaigns that bring them back to buy again. There’s no setup required. Just install Boom, and we’ll handle everything. Then sit back and watch as your AI team starts working for you.\n\nIn a short time, Boom has already become a top-five sales channel for our first customers. By personalizing every conversation, it turns missed messages into sales and long-term customer relationships.\n\nE-commerce is a **six-trillion-dollar industry** where most stores still lose 99% of visitors. Boom helps brands change that by making every interaction personal, instant, and effective.\n\nIf you’d like to see Boom in action, email me at [**juan@useboom.ai**](mailto:juan@useboom.ai) or book a demo at [https://**useboom.ai**](https://useboom.ai).\n\n![uploaded image](/media/?type=post&id=94838&key=user_uploads/360287/8665b7ce-5779-46fd-8fc5-c9c1180f7459)\n\n",
        "url": "https://www.ycombinator.com/launches/Ofe-boom-ai-your-ai-growth-team-for-e-commerce-brands",
        "votes": 12,
        "created_at": "2025-10-23T06:31:28.351Z"
      }
    ]
  },
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    "id": 30986,
    "name": "The Hog",
    "slug": "the-hog",
    "former_names": [
      "TheHog"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ba9edbf42a04ad97bf80ea5c1940458e14f3f70.png",
    "website": "https://thehog.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "One API to search, enrich, and monitor the web.\r\n\r\nAn agent is only as good as the data it runs on. Most agents and GTM tools today are stuck pulling stale, fragmented data from a dozen different providers, which caps how good their output can ever be. We unify all of it behind one API.\r\n\r\nOne credit-based API covers people data, company data, web search, deep research, news, social signals, and web scraping. Multi-provider waterfall logic routes each call to the best source and falls back automatically, so you get one integration and one bill instead of stitching together Clay, Apollo, Exa, Tavily, and a handful of others.\r\n\r\nWe're building the data layer that agents and GTM teams plug into to find, understand, and reach their customers.",
    "one_liner": "Real-time web intelligence API for AI agents and GTM teams",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1761945756,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/the-hog",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/the-hog.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/thehogai",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 1556892,
        "full_name": "Hudson Liao",
        "title": "Founder/CEO",
        "founder_bio": "Hudson Liao is a growth operator with nearly 15 years in GTM and a 5× first growth and marketing hire. He took one startup from ~$900k to $7M+ ARR in 3 months, led another from two months of runway to profitability, and built repeatable playbooks across search, social, outbound, partnerships, and product-led motions. He is the GTM person you call when outcomes matter.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hudsonliao/",
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      {
        "id": 95315,
        "title": "The Hog: AI Native Go-To-Market Command Center",
        "tagline": "One person unlocks the power of entire sales and marketing teams",
        "body": "_“Ah, this is f\\*\\*\\*\\*\\*\\*\\* good, dude. You really have done something here. I’m serious. Like look at the level of insight of this.”_ - David (from current customer; actual response will differ between users)\n\n**TL;DR**\n\nIt’s like the Google Maps for customer acquisition: The Hog finds the most optimized ways to reach your customers. \n\nIt gives one person the power of an entire sales and marketing team. It compresses research to execution from hours to minutes.\n\n**Our Vision**\n\nWe believe the future of go-to-market is not dashboards. It is a command center where sales, marketing, and growth work together on the same platform with the same data.\n\nShared context creates faster decisions, cleaner execution, and fewer handoffs. This is how teams stay ahead and keep adaptive go-to-market playbooks dynamic, updating in real time as the market moves.\n\n**The Hog: Promo Video**\n\nhttps://youtu.be/jfcAEhqrJN0\n\n**Why the ‘The Hog’?**\n\nThe Hog stands for Head of Growth (Hog), literally. It’s the dream tool our team wished we had when we scaled a startup from \\~$900k ARR to $7M+ in 3 months as a solo growth hire, and helped pivot a company to profitability with only two months of runway left.\n\n**What we built**\n\nOur AI-native go-to-market command center, where you control an army of AI sales and marketing co-pilots to constantly monitor your market, identify opportunities, and generate actionable game plans to connect with your potential customers. \n\nYour customers engage outside of LinkedIn and Inboxes. The Hog continuously maps your ICP, channels, and opportunities, spots shifts in the market, and stack-ranks what to do next based on goals and constraints. \n\n**What can it do now?**\n\n* Find where your ICPs spend time and how they behave across channels\n* Generate tactical game plans with ranked next actions\n* Market research and trend analysis\n* Automated daily competitive and market monitoring\n* Social listening for relevant topics and keywords across Reddit, LinkedIn, X, forums, and review sites\n* Strategic messaging and positioning suggestions\n* Create and manage company ‘Brand and Messaging Guide’\n* Personal brand building\n* SEO research plus blog and content drafts\n* Digital marketing and PPC planning with keywords and budgets\n* Auto-draft comments, posts, and replies for social engagement\n* Thought leadership content for founder-led growth\n* Brand awareness tracking and sentiment listening\n* Channel strategies for Reddit, LinkedIn, and X\n* Auto drafts for organic social and community engagement\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/a01fcab0-7dfd-4674-bb64-a2a7b81d7d8b)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/a5eebd92-cae5-42d4-8beb-31248e5495c8)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/07391000-f434-4481-9c8b-557dd6f31ac8)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/5d472533-57d9-4b41-85e9-725157f6d66b)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/bcfa0769-03bd-48b3-807e-0b30ebce3f48)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/f31cf377-0e0a-4f45-98bb-1de15c0b541c)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/dcf0b109-793b-4867-87aa-a70a3377279e)\n\n**Why now?**\n\n“The best product doesn't always win. The one everyone uses wins.” - Andrew Bosworth\n\nAI has shortened the time to build new products and features, so companies must find traction faster. Standing out in a crowded market is harder and more important than ever. Startups need to reach real customers quickly to find PMF and scale, and they must do it beyond saturated channels like LinkedIn and email.\n\n**Who is it for?**\n\n* Anyone who needs a fractional Head of Growth or CMO co-pilot\n* Teams looking to consolidate their marketing and sales tech stack\n* Solo founders and lean teams that need to find PMF and traction faster\n* Startups that want to meet customers where they actually are and engage with their communities\n* Companies moving to a true multi-channel motion and looking for acquisition paths beyond paid ads\n* Teams that want to grow brand awareness while automating founder-led content and engagement\n\n**Try risk-free:** visit[ https://thehog.ai/](https://thehog.ai/) and create an account today!\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/82e6aa58-0a5f-4b6b-b181-0fca61fcc602)\n\n",
        "url": "https://www.ycombinator.com/launches/OnL-the-hog-ai-native-go-to-market-command-center",
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    "name": "Bluma",
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    "website": "https://www.getbluma.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bluma is the first AI short form content engine.\r\n\r\nIn a post-AI world, attention is the most valuable commodity. Social media is only growing faster and faster, and we're still early.\r\n\r\nWe automate your entire consumer marketing strategy by cloning your competitor's viral videos.\r\n\r\nEverything that a growth team would plan, script, produce, and edit, Bluma can clone end-to-end and at scale.",
    "one_liner": "Canva for short-form video ads",
    "team_size": 2,
    "industry": "B2B",
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      {
        "user_id": 2724981,
        "full_name": "Alisa Wu",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Bluma. Featured on NYT and San Francisco Chronicle. Prev UWaterloo Engineering & self-driving SWE at Zoox (Amazon).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wu-alisa/",
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      {
        "user_id": 3002857,
        "full_name": "Stephen Ni",
        "title": "Founder/CTO",
        "founder_bio": "Building Bluma, dropout @ uWaterloo, I like playing chess :)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stephen-ni/",
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        "id": 98704,
        "title": "Bluma - AI UGC Maker",
        "tagline": "Clone winning organic and paid ad video/slideshows",
        "body": "Hey YC!\n\nWe're Alisa and Stephen.\n\nSuper excited to introduce Bluma - the all in one platform for AI UGC that clones winning organic and paid ad video/slideshows.\n\nIt allows you to remix content with a built in video editor and node-based canvas workflows.\n\nWe are the first to crack de-editing - cutting each scene, removing and then adding back on caption, text and on screen image popups.\n\nNo need to switch between different models and creative platforms to compile clips/assets.\n\n**Problem**\n\nUGC is very time consuming and requires recruitment, week long back and forths and expensive retainers/per video fees.\n\nOftentimes for both organic and paid, the best way to find a format is to copy adjacent competitors and remake their script/visuals exactly.\n\nThe whole process end to end is extremely long and expensive, ranging from researching, briefing, sourcing, reviewing, editing, making variations and distributing.\n\n**Solution**\n\nWe believe that AI footage is getting and will continue to get so good that both will converge and be indistinguishable. As such, we can help bring together the whole marketing stack into one platform where all you need is a really good prompter and taste.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/abcdeafe-fa89-4ddc-a571-70e9c7b880e5)\n\nLet's say you want to recreate a winning UGC skincare ad. You can first take the URL and automatically de-edit each scene, captions, text and photo overlays. Then, you can use our asset maker to recreate all the shots exactly.\n\nThen you can save all your workflows as templates in our node based canvas.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/758866c5-48a3-47c4-b396-723ed16f203f)\n\nWe allow you to split screen to work between assets and editing seamlessly - including a creative agent and capabilities like auto captioning.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/dc015a6b-b975-47ed-94bf-ae78dfe24ae2)\n\nYou can also clone slideshows and create multiple variations in one canvas.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/cf3abd59-aede-4eb9-a48c-0033bd3c007c)\n\n**Our ask**\n\nWe'd love for you to try out our product! It is still in beta and any type of feedback is greatly appreciated. There is no waitlist or paywall and you can try starting today at <https://www.getbluma.com/>.\\\n\\\nLinkedIn: [https://www.linkedin.com/company/bluma-ai](https://www.linkedin.com/company/bluma-ai/)\\\nTwitter: <https://x.com/getBluma>\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/4e8170c8-5ad0-44ab-bf86-58710f4e77dd)\n\n",
        "url": "https://www.ycombinator.com/launches/Pg0-bluma-ai-ugc-maker",
        "votes": 12,
        "created_at": "2026-03-12T15:09:58.820Z"
      },
      {
        "id": 95662,
        "title": "Bluma: The AI short form content engine",
        "tagline": "Your entire consumer marketing strategy run with content templates",
        "body": "Hey all - this is [Alisa](https://www.linkedin.com/in/wu-alisa/) and [Stephen](https://www.linkedin.com/in/stephen-ni/) from Bluma!\n\n**TL;DR** Bluma automates your entire consumer marketing strategy with content templates - a library of automated video workflows that turn scripts and assets into finished videos at the click of a button.\n\n[https://youtu.be/Pi69Jd-fnok](https://youtu.be/Pi69Jd-fnok%5C)\n\n\\\n**Problem**\n\nIf you’re building in consumer, you know that it is super hard to get eyes on your product.\n\nIn a post-AI world, attention is the most valuable commodity. Social media is only growing faster and faster, and we're still early.\n\nShort form has a high barrier of entry due to cost (UGC costs $35/video + $1 CPM, editors are $50/video) and operations as shown below:\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/ade8a7fd-4114-4164-ae5c-f0b389922684)\n\n**Solution**\n\nInstead of manually assembling a video in CapCut, Bluma works like this:\n\n1. Create template format by chatting with AI\n2. Generate videos on autopilot\n3. Push traffic to product/service\n\nOur biggest client runs 8 templates across 16 accounts, posting 2x daily. Bluma is growing 100% w/w and went from 0 to 28k MRR in 4 weeks.\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/c5fd4e08-2eb3-4c12-80ea-bcf74db92c92)\n\nUsing templates, we can replicate proven formats and A/B test scripts for you cheaper, faster and more scalable than human creators (UGC, editors).\\\n\\\n**Our Vision**\n\nMake video effortless and accessible to anyone through (video automation) templates.\n\n**Team**\n\nAlisa was the youngest engineer at 19 working on self-driving at Zoox. Stephen scaled payment infrastructure to millions at Shopify. Having generated over 6.7M views and been featured on New York Times, we have taste for scalable virality.\n\nWe met 3 years ago when we snuck into the Collision Tech Conference and spent the entire summer building in WeWork offices before both heading into the University of Waterloo. Dropped out and planned to bootstrap until we applied 21 days late and went into YC F25.\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/cc17438d-9b2f-46a2-8827-2d2f96863dba)\n\n**Our Ask**\\\nIf you’re looking to start or scale your editing pipeline with templates, contact us at https://getbluma.com/book-a-call\n\nWarm intros to your cap table investors in the video or marketing space!\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/7db5999c-dddc-41ca-95f1-31c39b7889af)\n\n",
        "url": "https://www.ycombinator.com/launches/Osw-bluma-the-ai-short-form-content-engine",
        "votes": 27,
        "created_at": "2025-11-20T18:51:47.338Z"
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        "full_name": "Frederik Hansen",
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        "full_name": "Soren Biltoft-Knudsen",
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        "founder_bio": "Soren is the COO and Co-founder of DiligenceSquared. \n\nBefore DiligenceSquared, Soren was a Principal at BCG's Private Equity team in New York, focusing on commercial due diligence for some of the world's largest private equity, growth equity, and hedge funds. He led 40+ commercial due diligence projects and knows the workflows intricately - what insights investors actually need and how AI can deliver them faster and better.",
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        "title": "Engineer - Frontend",
        "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/RJPu8pX-engineer-frontend",
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        "body": "Hey everyone!\n\nWe're Frederik, Soren, and Harshil – co-founders of DiligenceSquared.\n\n**TL;DR**\n\n[DiligenceSquared ](https://diligencesquared.com/)automates **market due diligence for private equity funds**. Our AI agents conduct expert interviews and synthesize insights into fully auditable reports – replacing the $500K+ due diligence work from McKinsey, BCG, and Bain.\n\nWe have deep expertise from senior industry positions at **Blackstone, BCG and Google**. Frederik bought this research at Blackstone, and Soren sold it at BCG.\n\nOur clients already include **two of the world's five largest PE funds** and several mid-market funds demonstrating the broad appeal of our technology.\n\n**Ask:** Can you introduce us to private equity funds, hedge funds or private credit funds that need credible market intelligence? Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)\n\nhttps://youtu.be/DwNAEVXpv8c?si=qIkt0KSTylIdBg4T\n\n**❌ The Problem**\n\nPrivate equity funds spend **&gt;$10B annually** on commercial due diligence. A standard engagement:\n\n* **Costs $500K-$1M** per project\n* **Takes 2-4 weeks** to deliver\n* **Relies on junior Associates** often only 1-2 years out of university\n* **Provides zero transparency** – no way to trace PowerPoint conclusions back to underlying evidence\n\nThe result: Funds delay diligence until the last minute because it's too expensive to do early or skip it entirely on smaller deals. In increasingly competitive capital markets, this creates a real disadvantage.\n\n**✅ Our Solution**\n\nOur AI agents autonomously conduct expert interviews and synthesize insights with **every claim linked directly to source transcripts**. The advantages are significant:\n\n* **Speed & Scale**: Parallel process interviews in local language and instantly synthesize insights with AI.\n* **Transparency and depth**: Trace any insight back to its underlying source, such as exact quote in interview transcripts. No black box, no \"trust me\" slides.\n* **Cost**: Fraction of traditional fees—making diligence economical for deals that couldn't justify it before.\n\nAs one Managing Director at a PE fund told us: _\"80% of the insight at 5% of the cost. It's a no-brainer for early-stage Commercial Due Diligence.\"_\n\n**🤝 The Team**\n\nOur team has spent years in private equity, consulting, and tech. We know what great due diligence looks like and how to automate it.\n\n* **Frederik** was a Principal at Blackstone's Private Equity team across London, NYC, and San Francisco. He spent 6 years buying these $500K+ reports and knows exactly what investors find valuable versus unnecessary bloat.\n* **Soren** was a Principal at BCG in NYC and spent 7 years leading commercial due diligence projects for the world's largest funds. He knows exactly which process and analytical steps can be automated.\n* **Harshil** was a Software Engineer at Google, leading AI systems in Google Ads. He's a repeat founder with 10 years of experience building production ML systems and knows how to operationalize them at scale.\n\n**🙏 Our Ask**\n\n**Can you introduce us to:**\n\n* Private Equity, Growth Equity, Private Credit, and Hedge Funds\n* Portfolio companies or corporates that need market intelligence\n* Deal professionals frustrated with traditional market due diligence\n\n👉**Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)** or visit [**www.diligencesquared.com**](http://www.diligencesquared.com)\n\n![uploaded image](/media/?type=post&id=95241&key=user_uploads/2296969/7a5d64a9-8895-4b80-98d1-a3ac69b338d9)\n\n",
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        "body": "#### Startups know the stakes - it’s move fast or die. Your lawyers should operate at the same pace, without costing an arm and a leg.\n\nVector Legal combines experienced startup legal professionals + proprietary AI to help you close your deals, quickly, at startup-friendly prices. They serve clients from Seed through Series B, handling financings, IP protection, customer contracts, hiring, founder transitions, and more. \n\nIn addition: their VectorOS platform helps founders:\n\n* manage equity and dilution,\n* draft documents,\n* review contracts with AI,\n* maintain investor-ready data rooms, and\n* ask questions across their legal docs.\n\nThe team brings deep experience in the space, having previously worked at Fenwick, YC Legal, and Ironclad.\n\nIf you’re a U.S. startup looking for a modern law firm, learn more and book a demo at[ **https://vectorlegal.com**](https://vectorlegal.com)\n\nCongrats on the launch, Keenan and Mitch 🚀",
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        "body": "**TL;DR;** Fastshot is an end-to-end mobile development platform that lets anyone build and ship beautiful mobile apps 10x faster and 100x cheaper — no code, just by prompting AI.\n\nhttps://youtu.be/diN3yEdoJbo\n\n### The Problem\n\nThe world runs on mobile. Yet over half of businesses still don’t have a mobile app.\n\nWhy? Because building one is still seen as a luxury — expensive, complex, and slow.\n\nToday, users have three options:\n\n1. Hire a Mobile Development Agency\\\n   Agencies handle everything: from design to app store launch.\\\n   But at a steep cost: $60K–$120K for an MVP, taking 3–6 months before the first users see it.\n2. Build an In-House Team\\\n   Hiring a developer costs about $130K/year, not including design, backend, and QA.\\\n   Expect similar timelines: 3–6 months to launch.\n3. Use traditional No-Code Builders (Adalo, Bubble, etc.)\\\n   These platforms promise simplicity - but fail to deliver real scalability, design quality, and functionality.\n\n### Introducing Fastshot\n\nFastshot is redefining how mobile apps are built.\n\nWith Fastshot, anyone, even non-technical teams, can design, build, and ship mobile apps just by chatting with AI.\n\n🙅No engineers.\\\n🙅No designers.\\\n🙅No project managers.\\\n🙅No 6-month timelines or 6-figure costs.\n\nEngineered by Google developers.\n\nYou can have your first MVP in customers’ hands the same day.\n\n### How It Works\n\nFastshot is an end-to-end mobile development platform that covers the entire lifecycle:\n\nIdeation → Design → Development → Deployment\n\nWe provide:\n\n* Beautiful out-of-the-box designs and templates\n* Built-in authentication, payments, and storage\n* Plug-in any AI providers to your app\n\nEverything your app needs: from concept to app store, powered by conversation.\n\nhttps://youtu.be/92yFPZuJPUY \n\n### Why Fastshot\n\nIsn’t \\_\\_ already doing this?\n\nYes – and no.\n\nFastshot isn’t just another no-code builder. We employ a multi-agent workflow that differentiates us from how simple vibe coding wrappers operate today, ensuring the best in class, high quality, modern design mobile apps.\n\nNo more brittle, half working mobile app scaffolds. Just working mobile apps in app stores. Our agents take care of everything that goes into mobile development processes end-to-end: from planning, to design, to implementation and shipment to stores.\n\nWe’re building the next generation of mobile app development platform, transforming how the industry will operate for the next decade.\\\nWith Fastshot, you can start building your app 10x more affordably and 10x faster than traditional methods.\n\n## We care about you\n\nWe win together. **Your success is our success.**\n\n**We want to make sure your app is lovable and goes viral.** Our goal is to build a long-term, meaningful partnership with every creator, founder, and business that chooses Fastshot. You grow - we grow with you.\n\nSo, if you’re ready to turn your idea into a real mobile app – **start using** [fastshot.ai](http://fastshot.ai?utm_source=yclaunch).\\\nShare your vision, and we’ll bring it to life.\n\n### About Us\n\nFastshot is built by experts with over a decade of experience creating AI developer tools and mobile apps, with backgrounds at companies like Google, Meraki, Cisco.\n\nDmitry: With 10+ years in AI and mobile development, spent years at Google building AI agents across Core ML and Google Cloud. Before that, as a Engineer, he kept seeing the same problem repeat: brilliant ideas slowed down by slow shipping. Fastshot is his solution to that — a way to turn ideas into apps instantly.\n\nElvira: With 10+ years in software engineering and product management, Elvira built and shipped GenAI developer tools at Google to millions of users. She’s also a developer advocate, speaker, and led the launch of the open-source Kubeflow 1.0 MLOps platform. Having witnessed firsthand how AI can unlock limitless potential, she’s now making that power accessible to everyone through Fastshot.\n\nTogether, they’re on a mission to empower anyone with an idea to bring it to life, instantly, with zero code.\n\n![uploaded image](/media/?type=post&id=95041&key=user_uploads/370260/b08873f3-e446-46f4-9d20-6ca7c3ab87dc)\n\n",
        "url": "https://www.ycombinator.com/launches/Oiv-fastshot-lovable-for-mobile-apps",
        "votes": 137,
        "created_at": "2025-10-30T20:19:02.131Z"
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    "name": "Clicks Health",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Clicks Health builds AI agents that automate back-office operations for RCM companies and healthcare providers. Our agents work across EHRs, payer portals, desktop applications, and legacy systems, following existing processes, handling exceptions, and escalating when human judgment is needed. Backed by Y Combinator, Clicks helps teams improve accuracy, shorten turnaround times, and reduce operating costs, with SOC 2 Type II and HIPAA compliance built in.",
    "one_liner": "AI agents for your healthcare back-office operations.",
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    "launched_at": 1759173987,
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/clicks-health.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/109159942",
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      "name": "Tom Blomfield",
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        "user_id": 2183481,
        "full_name": "Dominik Helmreich",
        "title": "Founder/CEO",
        "founder_bio": "ETH Zurich CSE Grad, Stanford AI Researcher, Ex-BCG Consultant",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dominik-helmreich-30574a1b0/",
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      {
        "user_id": 2425676,
        "full_name": "Oliver Knapp",
        "title": "Founder/CTO",
        "founder_bio": "Repeated AI founder. Developed 10+ enterprise AI applications in the past 2 years. Studied Physics at ETH Zurich.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/oliverkn/",
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        "id": 112346,
        "title": "Founding Field Sales Rep",
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        "location": "San Francisco, CA, US / Remote (New York, NY, US; FL, US)",
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        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "0.10% - 0.30%",
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        "role_type": null,
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        "id": 94577,
        "title": "Clicks: Back-office automation for recruiting and exec search firms",
        "tagline": "Clicks automates repetitive work without any IT integrations.",
        "body": "**TL;DR**\n\nClicks builds AI agents that automate back-office work for recruiting and exec search firms—saving customers 60% on costs while reducing time-to-close per search.\n\nOur agents click and type in your existing software (Bullhorn, Salesforce, custom systems) just like a human would, but faster and error-free. No coding, no integrations, no IT involvement.\n\n---\n\n**The Problem**\n\nRecruiters waste 30-40% of their time on soul-crushing admin work:\n\n* 20 minutes updating the CRM after every call\n* 1-3 hours generating assessment reports\n* Hours researching candidates across LinkedIn, company websites, and internal databases\n\n---\n\n**How Clicks Works**\n\n1. **Show us your workflow** – 30-60 minute screen share\n2. **We automate it** – Built in under a week by our team\n3. **Delegate via email or Slack** – Send tasks to Clicks like you'd delegate to an employee\n4. **Get results back** – Pay only for completed tasks\n\nClicks works with everything: modern software, legacy systems, custom-built tools.\n\n[\\[Product Demo Video\\]](https://www.youtube.com/watch?v=ywZbo7xmSqE)\n\n---\n\n**Our Story**\n\nDominik and Oli met 8 years ago while studying at ETH. Both started their careers in consulting. While Dominik consulted globally leading enterprises at BCG, Oli was building 15+ custom AI automations at his first startup. This is where Oli had a key realization: Instead of spending months to building a custom automations and IT integrations, it should only take a couple of hours to building an automation on top of the tools that humans already use. \n\nThat's how Clicks was born. The most intuitive and reliable way to build automations on top of your existing tools.\n\n---\n\n**What's Next**\n\nWe want to enable anyone to build and modify their own automations.\n\nWe will expand our forward deployed engineering teams into new verticals, so other industries can also benefit from Clicks.\n\n---\n\n**Join Us**\n\nClicks is actively working with **forward-thinking recruiting/ exec search companies** who want to move faster, and leave the pain of manual processes behind.\n\nIf that sounds like you, let’s talk.\n\n📅 **Book a demo**: https://calendly.com/dominik-clicks-ai/30min\n\n[🌐](https://calendly.com/d/cqw5-msn-pf2/operand-intro%EF%BF%BC%F0%9F%8C%90) **Learn more:** https://goclicks.ai/",
        "url": "https://www.ycombinator.com/launches/ObR-clicks-back-office-automation-for-recruiting-and-exec-search-firms",
        "votes": 10,
        "created_at": "2025-10-13T14:24:08.116Z"
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    "id": 31004,
    "name": "Dome",
    "slug": "dome",
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    "website": "https://domeapi.io",
    "all_locations": "",
    "long_description": "Dome makes it easy to build on prediction markets like Polymarket and Kalshi. We provide the developer infrastructure to access, analyze, and build on prediction markets. \r\n\r\nWith our unified API, developers can access live and historical data, including granular datasets not available natively, across multiple platforms at once. Dome makes it simple to trade, embed market data into products, and deploy strategies across multiple platforms through one interface.\r\n",
    "one_liner": "A unified API for prediction markets, like Kalshi and Polymarket",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1759389556,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Inactive",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "Unspecified"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dome",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/dome.json",
    "year_founded": 2025,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/dome-api",
    "x_url": "https://x.com/getdomeapi",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/dome-71a6",
    "github_url": null,
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "full_name": "Kurush Dubash",
        "title": "Founder",
        "founder_bio": "Kurush is the co-founder and CEO of Dome.\n\nHe's an engineer with a degree from Berkeley and has a deep expertise in blockchain and prediction markets.\n\nAs a founding engineer at Alchemy, he spent over four years helping scale the company from 10 to 250 people and a $10B valuation. He and his co-founder worked closely with Polymarket, one of Alchemy’s largest blockchain customers, to build custom infrastructure that ensured they scaled seamlessly during the 2024 election.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/kurushdubash",
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      {
        "user_id": 2830840,
        "full_name": "Kunal Roy",
        "title": "Founder",
        "founder_bio": "Founding Engineer Alchemy, prev Engineer at Cruise, Google. \n\nHe's an engineer with a degree from Berkeley and has a deep expertise in blockchain and prediction markets.\n\nKunal spent 5+ years as a founding engineer at Alchemy where he helped grow the company from 10 to 250 people and a $10 billion valuation. He and his co-founder we personally responsible for helping Polymarket scale on the blockchain during the 2024 election. Together they are building domeapi.io, the prediction market api",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/kunal-roy-772a0672/",
        "x_url": "https://x.com/princeofbothell",
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    "news": [
      {
        "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch/",
        "date": "Nov 13, 2025"
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    "launches": [
      {
        "id": 95017,
        "title": "Dome - A unified API for prediction markets",
        "tagline": "Trade and analyze data across multiple platforms at once",
        "body": "Hi everyone - we’re [Kurush](https://www.linkedin.com/in/kurushdubash/) and [Kunal](https://www.linkedin.com/in/kunal-roy-772a0672/) - and we’re building [Dome](http://domeapi.io) 👋\n\n# **TL;DR**\n\n**Dome is a unified API for prediction markets, like Polymarket and Kalshi.** We allow users to trade and analyze data across multiple platforms at once. Over 50+ developers are already building on Dome.\n\n**Ask:** Building or trading in prediction markets? Contact [kurush@domeapi.com](mailto:kurush@domeapi.com) or [DM](https://x.com/kurushdubash) us.\n\nhttps://youtu.be/eYWb3hpxSnE\n\n**Prediction Markets**\\\nPrediction markets are a new financial instrument that combines news, polls, and expert opinions into a single value that represents the market’s view of an event’s odds. In the past few years, platforms like Polymarket and Kalshi have processed tens of billions in volume, giving real-time insight into collective public belief.\n\n# Problem\n\n_Fragmented_**\\\nThe same markets are scattered across multiple platforms**. Fragmented formats and liquidity make them difficult to analyze or trade efficiently.\n\n_Siloed Data_**\\\nAccessing reliable data is a challenge.** Every platform exposes different pieces of information, in different formats, leaving traders without a unified historical view.\n\n_Infrastructure_\\\n**Primitive tools build primitive products.** Developers do not have the adequate infrastructure to grow this ecosystem. \n\n# Solution\n\n**One Market View**\\\nDome unifies prediction markets across platforms into a single, consistent interface.\n\n* Matches **identical markets** across multiple platforms\n* Streams **real-time data** through one API \n* **Integrate once** to access every platform\n\n![uploaded image](/media/?type=post&id=95017&key=user_uploads/2118203/4a1a329b-1d58-468e-b76a-f18aa9ee4ee4)\n\n**Complete Data**\\\nDome delivers both **real-time** and **historical data** across every platform, giving traders and developers the insight to analyze past performance and react **instantly** to shifting markets. \n\n![uploaded image](/media/?type=post&id=95017&key=user_uploads/2118203/e56f0e0a-6179-4dd6-8d84-a46a94f9736a)\n\n**Empowered Builders**\\\nDome gives developers the tools to build exponentially on top of prediction markets.\n\n* **Multi-language SDKs** for effortless development\n* **Real-time** streaming architecture for live insights and updates\n* Unified **on-chain** and off-chain data pipeline for consistent accuracy\n\n# The Team\n\n![uploaded image](/media/?type=post&id=95017&key=user_uploads/2118203/b610baf1-35a7-4db8-90f3-2f84eff1519e)\n\n[**Kurush**](https://www.linkedin.com/in/kurushdubash/) (CEO) - Kurush is an engineer with deep expertise in blockchain infrastructure and prediction markets. As a founding engineer at [Alchemy](http://alchemy.com), he spent over four years helping scale the company from 10 to 250 people and a $10B valuation. He and his co-founder worked closely with Polymarket, one of Alchemy’s largest blockchain customers, to build custom infrastructure that ensured they scaled seamlessly during the 2024 election.\n\n[**Kunal**](https://www.linkedin.com/in/kunal-roy-772a0672/) (CTO) **-** Kunal spent 5+ years as a founding engineer at Alchemy and has comprehensive experience in scalable infrastructure having worked extensively on blockchain integrations across chains, virtual machines, and rollups. Early in his career at Google, he worked on internal B2B payment systems, helping move nine figures monthly across global regions.",
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    "website": "https://markittrade.com",
    "all_locations": "Atlanta, GA, USA",
    "long_description": "MarkIt is an AI-powered regulatory compliance platform that helps consumer brands launch products in new markets. We review formulations, packaging, and supporting documents against local regulations, identify compliance gaps, and provide the exact changes, regulatory references, and market-ready labels needed before launch. We are initially focused on cosmetics and food products entering the U.S., replacing weeks of manual work across regulatory consultants, spreadsheets, and disconnected vendors with one actionable compliance workflow.\r\n",
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    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1759442158,
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      "AI"
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    "url": "https://www.ycombinator.com/companies/markit",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/markit.json",
    "year_founded": 2025,
    "city": "Atlanta",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/markittrade/",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 2551075,
        "full_name": "Chanhyung Kim",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ MarkIt",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chanhkim?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
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      {
        "user_id": 850083,
        "full_name": "Roland Saavedra",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Markit",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rsaav",
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      {
        "id": 94776,
        "title": "MarkIt: Silver Bullet for Trade Compliance",
        "tagline": "2025 Tariffs Megathread",
        "body": "Hey Everyone!\n\nExcited to share our story and what we’ve been working on.\n\nhttps://youtu.be/kdNXKa-zfcg\n\nWhen Chan worked on Tesla’s Global Trade team, every car part—bolts, batteries, doors, etc—came from a different country. Each time tariffs shifted (pretty frequently), he and his team had to manually check thousands of parts across hundreds of pages of trade rules. Pair that with meetings with consultants, brokers, & suppliers to get potentially the worst workflow of 2025. All happening within Outlook & Excel 2019.\\\nThey tried software, consultants, startups — every one of them got shot down due to reasons like product quality & data security, but mainly that it doesn’t bring enough value.\n\nThat’s why we built **MarkIt** — AI agents that actually _do the work_ for Suppliers, Brokers, and OEMs.\n\n# **Introducing MarkIt - The Silver Bullet for Trade Compliance**\n\nWith agents that live where trade professionals already work — **Excel, broker portals, and browser** — MarkIt helps teams classify products, manage tariffs, and resolve customs issues in seconds, not hours.\n\n# **MarkIt’s Value: Product & Logic Application**\n\nMarkIt is intentionally lightweight, and customizable. Previously, without AI, software in this industry was clunky & typically automating a set workflow. Now, MarkIt services all of your workflow needs in a single\n\n* **Classification**: MarkIt can enhance your workflows at scale. Entries are\n\n  **defensible** with thorough **reasoning** and **supporting documents**.\n* **OCR**: Upload your Bill of Ladings, Commercial Invoices, Packing Lists, and other documents to create your import filings and reports.\n* **Customization**: Users can choose to **use their own logic**, where MarkIt’s platform would simply handle applying it at volume. No more worrying about reasonable care, if you don’t trust AI research.\n* **Build Your Own:** MarkIt’s agents can work in files & desktop, applying trade logic in your own customizable way.\n* **Integration:** Plug directly into ABIs and ERPs **only if you want.**\n\nMarkIt is like a coworker specialized in customs & the trade process. Who’s willing to do all of your mindless “dishwashing” work.\n\n# **Our Ask:**\n\nWe’re looking to connect with anyone who works in Global Trade. Suppliers, customs brokers, manufacturers, e-commerce operators, etc.\n\n# **Connect with Us:**\n\nMarkIt: [LinkedIn](https://www.linkedin.com/company/markittrade/)\n\nChan: [LinkedIn](https://www.linkedin.com/in/chanhkim/)\n\nRoland: [LinkedIn](https://www.linkedin.com/in/rsaav/)",
        "url": "https://www.ycombinator.com/launches/Oee-markit-silver-bullet-for-trade-compliance",
        "votes": 4,
        "created_at": "2026-02-07T15:54:23.608Z"
      },
      {
        "id": 94794,
        "title": "MarkIt: Silver Bullet for Trade Compliance",
        "tagline": "2025 Tariffs MegaThread: MarkIt Launch",
        "body": "When Chan worked on Tesla’s Global Trade team, every car part—from bolts to battery packs—came from a different country. Each time tariffs shifted, thousands of parts across hundreds of pages of trade rules needed review, research, or reclassification. Pair that with tons of paperwork & meetings with consultants, brokers, & suppliers, and you’ll have one worst workflow of 2025. All happening within Outlook & Excel 2019.\\\nThey tried software, consultants, startups — every one of them got shut down due to reasons like product quality & data security.\\\nThat’s why we built **MarkIt** — AI agents that actually _do the work_ for Suppliers, Brokers, and OEMs.\n\n**Introducing MarkIt**\n\nhttps://www.youtube.com/watch?v=STJujU1zWz4\n\nWith agents that live where trade professionals already work — **Excel, broker portals, and browser** — MarkIt helps teams classify products, manage tariffs, and resolve customs issues in seconds, not hours.\n\n**MarkIt’s Value: Product & Logic Application**\\\nMarkIt is intentionally lightweight, and customizable. Previously, without AI, software in this industry was clunky & typically automating a set workflow. Now, MarkIt can support every trade compliance process, including ones companies have been ignoring. \n\n* **Classification**: Use our **accurate**, defensible classifications, or upload your own!\n* **OCR**: Analyze your Bill of Ladings, Commercial Invoices, Packing Lists for report filing, analysis, and report generatino.\n* **Customization**: Users can choose to **use their own logic**, where MarkIt’s platform would simply handle applying it at volume.\n* **Build Your Own:** MarkIt’s agents are familiar with many document types & many regulations. It’ll be able to support ad-hoc workflows just as well as your daily ones.\n* **Integration:** Plug directly into ABIs and ERPs **only if you want.** We don’t want require complete system overhaul.\n\nMarkIt is like a coworker specialized in customs & the trade process. Who’s willing to do all of your mindless “dishwashing” work.\n\n\\*\\*Our Ask:\\*\\*\\\nWe’re looking to connect with anyone who works in Global Trade. Suppliers, customs brokers, importers, e-commerce operators, etc. Anyone who may have to get a good across a border.\n\n\\*\\*Connect with Us:\\*\\*\\\nMarkIt: [LinkedIn](https://www.linkedin.com/company/markittrade/), [Website](https://markittrade.com)\\\nChan: [LinkedIn](https://www.linkedin.com/in/chanhkim/), [X](https://x.com/ch6nkim)\\\nRoland: [LinkedIn](https://www.linkedin.com/in/rsaav/), [X](https://x.com/supadupacoda)",
        "url": "https://www.ycombinator.com/launches/Oew-markit-silver-bullet-for-trade-compliance",
        "votes": 17,
        "created_at": "2025-10-21T15:36:33.380Z"
      }
    ]
  },
  {
    "id": 31007,
    "name": "Zarna",
    "slug": "zarna",
    "former_names": [
      "Zarna AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d20374e923bd141960c3c8fd2965f8288e95aa58.png",
    "website": "https://www.zarnaai.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Zarna is private equity's first AI associate class. \r\n\r\nBuilt for BD teams at middle-market firms, our agents manage your CRM, source new opportunities, and prep you for every meeting. Runs natively in Outlook and Teams.",
    "one_liner": "AI Associates for Middle-Market Private Equity ",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1762391689,
    "tags": [
      "Investments",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/zarna",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zarna.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/zarna/?viewAsMember=true",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d20374e923bd141960c3c8fd2965f8288e95aa58.png",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1728449,
        "full_name": "Rishabh Dhariwal",
        "title": "Founder/CEO",
        "founder_bio": "CEO/Co-Founder @ Zarna AI\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rishabh-dhariwal/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/014ce567b368a830e9eae29117e6bec90af8fa5d.jpg"
      },
      {
        "user_id": 1828222,
        "full_name": "Vivan Agrawal",
        "title": "Co-Founder",
        "founder_bio": "Co-founder at Zarna (YC F25). Studied EECS & Materials Science at UC Berkeley. Previously worked on cybersecurity at EY, AI/ML at Wipro, and bioelectronics research at Lawrence Berkeley Lab.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vivan-agrawal",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/699fe4ba9f4d83514fc4b365c39b742500436d6e.jpg"
      },
      {
        "user_id": 1709135,
        "full_name": "Hrishi Joshi",
        "title": "Founder",
        "founder_bio": "Co-Founder @ Zarna",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rishij7/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee35d701e0ccfee4afad2ac8e222f226ee975899.jpg"
      },
      {
        "user_id": 2439162,
        "full_name": "Rakesh Mehta",
        "title": "Founder/CTO",
        "founder_bio": "Building Zarna—the Agentic Operating Layer for Private Capital Markets. Focused on AI/ML applications to the real world. Other interests include astrophysics, videography/film, photography, and basketball.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rakeshvmehta/",
        "x_url": "https://x.com/rak3sh_m",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5bffe5c679057e0cd2eb69caa075f7090c293f24.jpg"
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    "jobs": [
      {
        "id": 102446,
        "title": "AI Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/zarna/jobs/XFa8DgK-ai-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$5K - $7.5K",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 95252,
        "title": "Zarna - AI Associates for Private Capital Markets",
        "tagline": "Zarna turns weeks of deal work into minutes ",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nWe’re Rishabh, Hrishi, Vivan, and Rakesh.\\\nWe’re building AI associates that automate deal work for firms in the private capital markets.\\\n[_(demo video_](https://youtu.be/GN8JtPZ99z8)_)_\n\n---\n\n### **Problem**\n\nDeal teams spend a surprisingly large amount of their time on repetitive processes:\\\nreviewing CIMs, rebuilding models, creating tear sheets and IC decks, updating CRMs and trackers, and piecing together context fragmented across file drives.\n\n### **What We Do**\n\nZarna connects our **cohort of AI associates** to your firm’s history. _Past deals, the CRM, shared drives, board decks, third-party databases, etc._\n\nOnce connected, they execute core work end-to-end:\n\n* Generate tear sheets, IOI materials, and IC drafts in the firm’s format\n* Convert CIM financials into diligence model structures\n* Complete all data entry & enrichment into [CRM](https://www.youtube.com/watch?v=8daMRb9IPxU)s\n* Sync operator notes & portfolio KPI trackers over time\n* Analyze CIMs, teasers, and market reports to surface what matters\n\n**The goal is simple:**\n\nWith the summaries, models, and trackers handled, investors can spend their time forming deeper views on companies and markets — building conviction faster on the right deals.\n\n---\n\n### **Why Zarna**\n\nEvery firm has its **own way** of evaluating businesses, management, and risk.\\\nSo **generic copilots fail**—they don’t understand the firm’s history, style, or decision-making patterns.\n\nThe hard part is **institutional memory and reasoning**, not text generation.\n\nWe embed forward-deployed engineers with deal teams to tune how the agents:\n\n* interpret financial signals\n* format materials\n* map market structures\n* reflect the firm’s voice and conviction process\n\nThis turns what used to live in **individuals who could walk out the door** into something **searchable, reusable, and cumulative across the firm.**\n\nThe result is not just “faster work.”\\\nIt is **firms that start each deal loaded with context instead of from zero.**\n\n---\n\n### **Backstory**\n\nPre-YC, we were forward-deployed engineers embedded in a $20B private equity firm, leading AI enablement initiatives & building agents automation across sourcing, diligence, and portfolio management.\n\nThe four of us are best friends who have been building together since college. We studied computer science, electrical engineering, & economics at UC Berkeley. We’ve explored many ideas over the last 3 years — this is the one where we saw the **problem first-hand** and **couldn’t let go of it.**\n\n![uploaded image](/media/?type=post&id=95252&key=user_uploads/1728449/63967ae3-fc76-424c-b75b-eda4a5fa528f)\n\n---\n\n### **Who is Zarna for**\n\n**We are focused on building for Private Equity, Growth Equity, Private Credit, Family Offices, & Investment Banking. Book a demo today at zarnaai.com.**\n\n### **Questions**\n\nReach out to [**rishabh@zarnaai.com**](mailto:rishabh@zarnaai.com) (630-631-9264), [hrishi@zarnaai.com](mailto:hrishi@zarnaai.com) (603-233-4478), [rakesh@zarnaai.com](mailto:rakesh@zarnaai.com) (510-458-6129), [vivan@zarnaai.com](mailto:vivan@zarnaai.com) (510-6849147)",
        "url": "https://www.ycombinator.com/launches/OmK-zarna-ai-associates-for-private-capital-markets",
        "votes": 19,
        "created_at": "2025-11-06T23:46:00.474Z"
      }
    ]
  },
  {
    "id": 31008,
    "name": "Moss",
    "slug": "moss",
    "former_names": [
      "InferEdge Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/631b5f054745e65be97bbf8459061215b1e4e693.png",
    "website": "https://moss.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Moss is building the real-time semantic search runtime for conversational and multimodal AI. Our system enables voice agents, copilots, and chat interfaces to retrieve, reason, and respond in sub-10 ms, delivering the responsiveness that makes AI interactions feel truly natural.\r\n\r\nIf you’ve ever built a conversational or voice AI product, you’ve felt the lag. That moment when an agent pauses and the illusion of intelligence breaks. The bottleneck is almost always retrieval. Each query hops across networks and databases, adding delay and cost. Moss eliminates that gap by keeping retrieval close to where the agent runs.\r\n\r\nMoss runs natively across browsers, mobile devices, and servers with an optimized vector index built in Rust and WebAssembly. It enables teams to build AI products that feel instant, contextual, and adaptive. The experiences that sustain engagement and unlock new kinds of interaction. For our customers, this translates into tangible business value: stronger user retention, higher conversion, and entirely new product categories made possible by real-time understanding. Moss is already powering production pilots across voice AI and developer platforms, achieving sub-10 ms retrieval and 70–90% token savings compared to traditional pipelines.",
    "one_liner": "Real-time semantic search for Conversational AI",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1761590258,
    "tags": [
      "Developer Tools",
      "SaaS",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/moss",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/moss.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mossdev",
    "x_url": "https://x.com/usemoss",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/usemoss",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/631b5f054745e65be97bbf8459061215b1e4e693.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 2412081,
        "full_name": "Sri Raghu Malireddi",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO of Moss. We are developing real-time semantic search for conversational AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/r4ghu",
        "x_url": "https://x.com/srimalireddi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d4d35194c36b1439842c0c5a79465192b0c34ea.jpg"
      }
    ],
    "jobs": [
      {
        "id": 107565,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/moss/jobs/HmK9Iqk-machine-learning-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$60K - $300K",
        "equity_range": "0.10% - 0.50%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "ML",
          "Python",
          "Torch/PyTorch",
          "Machine Learning",
          "Deep Learning",
          "Reinforcement learning (RL)",
          "Search",
          "LLMs",
          "Transformers",
          "RAG",
          "Vector Embeddings",
          "Vector Databases",
          "Fine-tuning",
          "Evals",
          "AI Agents",
          "Multimodal AI",
          "Speech Recognition",
          "MLOps",
          "Whisper"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95036,
        "title": "Moss: Real-time Semantic Search for Conversational AI",
        "tagline": "We help conversational AI teams turn lagging, robotic interactions into natural, human-like experiences through sub-10 ms semantic search.",
        "body": "Hello YC! This is [**Sri Raghu Malireddi**](https://www.linkedin.com/in/r4ghu) from [**Moss**](https://usemoss.dev/).\n\n### **TL;DR**\n\nMoss is a high-performance runtime for real-time semantic search. It delivers sub-10 ms lookups, instant index updates, and zero infra overhead. Moss runs where your agent lives - cloud, in-browser, or on-device - so search feels native and users never wait. You connect your data once; Moss handles indexing, packaging, distribution and updates.\n\n![uploaded image](/media/?type=post&id=95036&key=user_uploads/2412081/c21db6f6-b453-40b6-a15d-5654971ab2ab)\n\n### **The Problem**\n\nIf you’ve ever built a conversational or voice AI product, you’ve felt it - that awkward pause when your agent lags or hesitates. The illusion of conversation breaks, and suddenly it feels less like talking to intelligence and more like waiting for a page to load.\n\nThe culprit is almost always retrieval. Every query hops across networks and cloud databases, adding seconds of delay. As usage scales, those small lags snowball into lost users, rising infra and egress costs. Teams spend weeks rebuilding embeddings and indexes, tuning search infra just to get “good enough” answers instead of focusing on what actually matters: building great AI experiences!\n\n### **Solution**\n\nMoss puts real-time semantic search in the same runtime as your agent and application, so you can -\n\n* **Keep retrieval close** - embed &amp; index right alongside your agents (docs, chat history, telemetry).\n* **Answer in &lt;10 ms** - local lookups, zero network hops.\n* **Manage at scale** - store, sync, and distribute indexes with our managed data layer at [**https://moss.dev**](https://usemoss.dev)\n* **Drop-in SDKs** - [**JavaScript**](https://www.npmjs.com/package/@moss-js/moss) and [**Python**](https://pypi.org/project/moss/).\n\n### **Our Story**\n\nMoss founding team knew each other for 8+ years and bring deep expertise in machine learning, high-performance computing and developer experience.\n\nSri was an ML Lead at Grammarly and Microsoft, where he shipped LLMs and personalization systems used by millions of users across Office, Bing, and Grammarly. His work on personalization drove 300% retention growth for Grammarly Keyboard and scaling models to 40M+ DAUs. He has published at top ML conferences such as ACL and holds multiple patents in real-time ML.\n\nThe idea for Moss came from our deep frustration with how slow “intelligent” systems actually felt in practice. While building large-scale agentic systems at Microsoft and Grammarly, we kept hitting the same wall - retrieval lag that made even the smartest models feel lifeless. Through evolution, humans are wired to expect instant replies; when AI hesitates, it breaks the illusion of intelligence. We started Moss to fix that by collapsing the multi-hop retrieval stack into a real-time, local-first runtime that lets AI think and respond at the speed of thought.\n\n<https://www.youtube.com/watch?v=7-PrunZVXTo>\n\n### **Who is it for?**\n\n* **Platform/Founding Eng:** Drop in realtime semantic search. No new service to run.\n* **Infra Leads:** Local retrieval to slash p95 and egress.\n* **Agent/Voice PMs:** Hit &lt;10 ms so conversations feel natural.\n* **Security/Compliance:** Keep sensitive context local (offline-ready).\n* **Data/ML Eng:** A/B embeddings &amp; index configs on your corpus - fast.\n\n### **How to onboard?**\n\n* Login to the portal - <https://moss.dev> \n* Start a new Project, create an index either through the portal or [JavaScript](https://www.npmjs.com/package/@moss-js/moss) and [Python](https://pypi.org/project/moss/) SDKs\n\n  ![uploaded image](/media/?type=post&id=95036&key=user_uploads/2412081/ecd79cf8-972e-4233-9987-e015ad49abd8)\n\n* Using our SDKs - **init**, **load** and **query** indexes in **sub-10ms**.\n\n  ![uploaded image](/media/?type=post&id=95036&key=user_uploads/2412081/60e783b7-d7d3-411a-91fd-05cbd678130a)\n\n\n### **Our Progress**\n\nWe’re seeing strong inbound pull from the market with 6 enterprise design partners and 3 paying customers actively building their products around Moss’s core tech, with 7 more actively evaluating. We’re working closely with Voice AI orchestration companies like Pipecat ([Daily.co](http://Daily.co)) and LiveKit, embedding Moss at the core of their real-time retrieval and context pipelines. Usage and revenue have been growing \\~100% week over week, and Moss is quickly becoming the foundational layer teams rely on to make AI feel instant, contextual, and truly responsive.\n\n### **Ask**\n\n* Building in Conversational AI and Voice AI?[ **Use Moss**](https://usemoss.dev) to bring real-time semantic search inside your agents to production\n* Developers -[ **Get free access**](https://form.typeform.com/to/XWeuMaar) to experiment with Moss and help shape the future of real-time conversational AI.\n\nOur contact information -\n\n* Email - [**founders@moss.dev**](mailto:founders@usemoss.dev)\n* Website - [**https:/moss.dev**](https://moss.dev)\n* Book a demo - [**Calendar Link**](https://cal.com/srimalireddi/30min)",
        "url": "https://www.ycombinator.com/launches/Oiq-moss-real-time-semantic-search-for-conversational-ai",
        "votes": 107,
        "created_at": "2025-10-30T19:54:21.747Z"
      }
    ]
  },
  {
    "id": 31009,
    "name": "Specific Labs",
    "slug": "specific-labs",
    "former_names": [
      "Bear AI",
      "Bear",
      "Specific"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f65a9129ea781a8d18fe1dc455b98be2430643a6.png",
    "website": "https://withspecific.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Specific builds enterprise environments and datasets representative of work inside real-world businesses. The next frontier of AGI is bottlenecked by data that is hard to access, and we make that easier.",
    "one_liner": "Real World Environments and Data for AI",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1757825190,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/specific-labs",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/specificlabs",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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      {
        "user_id": 426892,
        "full_name": "Janak Sunil",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO @ Specific Labs, Real-SWE\n\nPrev @ Coinbase",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/janaksunil/",
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      {
        "user_id": 1243050,
        "full_name": "Siddhant Paliwal",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO @ Specific \n\nPrev @ Third Chair (YC X25), Intel. Founded my first company at 15, invited to the UN.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/siddhantpaliwal/",
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    "launches": [
      {
        "id": 114666,
        "title": "Real-SWE: A coding benchmark built from private company codebases",
        "tagline": "Can coding agents can do real engineering work on codebases they've never seen?",
        "body": "![uploaded image](/media/?type=post&id=114666&key=user_uploads/426892/94ad1344-e8cb-4757-8023-59f3ed3e6081)\n\n**TL;DR**\\\nSpecific Labs (YC F25) is launching Real-SWE, a benchmark that evaluates coding agents on real software engineering tasks that engineers performed, using private, out-of-distribution codebases. Public benchmarks are built on open source repos models have already seen. Real-SWE tests whether an agent can do the work inside a company it has never encountered. Leaderboard and task examples at <https://realswe.withspecific.com>\\\n\\\n**Hi, we're Janak and Sid**\\\nOver the past year we've acquired and licensed operational data and codebases from real companies, and one question kept coming up with labs: how do coding agents actually perform on private code? Nobody had a clean way to measure it. So we built one.\n\n**The problem**\\\nEvery major coding benchmark is built on public repos. Models have trained on that code or on code that looks a lot like it. Scores keep climbing, but the number companies care about is different - can this agent land a fix in our billing system, our permissions layer, our customer data pipeline, without having seen any of it before?\n\n**What Real-SWE is**\\\nReal-SWE is a set of tasks pulled from real work engineers did on private company codebases. Examples include an app with 200K+ users, a fintech platform processing 100K+ bank statements, and enterprise sales tools.\n\nEach task gives the agent the codebase and the context an engineer would have had, then checks whether the fix actually works. One example: fix invoice billing so each business charges the right tax and exempt customers aren't taxed. The agent has to work out how the business handles tax, connect the tax provider, and keep invoices consistent.\\\n\\\n**What we found**\n\nAgents that look strong on public benchmarks struggle a lot more when the codebase is one they've never seen.\n\n![uploaded image](/media/?type=post&id=114666&key=user_uploads/426892/5c10421b-da9c-4447-bb76-5cf298a890c9)\n\n\\\n\\\n**The ask**\n\n* If you're at a lab and want your model evaluated, or want the full task set for training, email [janak@withspecific.com](mailto:janak@withspecific.com)\n* If you run a company and would be open to contributing a codebase (we handle anonymization and tasks stay private), reach out",
        "url": "https://www.ycombinator.com/launches/TpS-real-swe-a-coding-benchmark-built-from-private-company-codebases",
        "votes": 11,
        "created_at": "2026-09-10T18:52:18.053Z"
      },
      {
        "id": 94289,
        "title": "Bear - Get recommended by AI Agents 🤖",
        "tagline": "Track and influence how often you appear on ChatGPT, Claude Code, Perplexity, and more",
        "body": "Hey everyone 👋\n\nWe’re [Janak](https://www.linkedin.com/in/janaksunil/) and [Siddhant](https://www.linkedin.com/in/siddhantpaliwal/), co-founders of [Bear](https://www.ycombinator.com/companies/bear)!\n\n# **TLDR ⚡️**\n\n**Bear helps companies get recommended by AI Agents.** **60+** companies use our platform, including **Browserbase**, **Wispr Flow**, **Cal.com** & tons of other YC companies.\n\n**Asks ❓**\n\n1. Can you introduce us to any heads of growth/marketing at Series A+ companies?\n2. You can try us out at [usebear.ai](https://usebear.ai). We would love your feedback!\n\n[**https://youtu.be/463PtjO_87g**](https://youtu.be/463PtjO_87g)\n\n# **Problem 😔**\n\nMarketers don't have a reliable way to track how often they and their competitors get recommended by AI agents like ChatGPT and Claude Code. Further, they do not know how their products can be recommended by them.\n\n# **Solution 😃**\n\n1. **We gather a lot of data** 📊: when your company shows up, when competition shows up, the sources contributing to AI answers, and the exact prompts behind them.\n2. **Find and Copy content that AI likes 😃**:\n\n   **Example:** if you’re Brex, and Ramp has a blog titled “Best Business Credit Cards 2025” that shows up as a source for ChatGPT a lot, our platform makes it easy to clone it for Brex.\n3. **Find and reach out to sources that AI likes** 🤝:\n\n   **Example:** if CNET is a frequently cited source for a question like “What are the best laptops 2025?”, we automatically find the author of the blog and reach out to them on your behalf.\n\nYou can sign up for **free** on our [website](https://usebear.ai)!\n\n![uploaded image](/media/?type=post&id=94289&key=user_uploads/1243050/5260a478-aa4a-444a-b7c3-263f5ae7a8da)\n\n**Why this matters now ‼️**\n\n\\~10% of searches on US Desktops now happen on AI Search (probably more).\n\nYour customers are asking “what’s the best project management tool” or “best AI CRM” and getting answers that might not include you - even if you rank on Google.\n\nBlue links are inherently **archaic.** The future of search is **conversational.**\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=94289&key=user_uploads/1243050/87e46333-fc56-49eb-aa81-900f6f274d85)\n\nJanak was previously at Coinbase and is the founder of UCLA’s largest apartment listing platform (Acquired 2024).\n\nSid was an early engineer at Third Chair (YC X25) and Intel. He started his first company, a parking app, at 15 and was invited to the UN.\n\n## **Asks:**\n\n🎯 **Try our platform** - 7-day free trial at [**usebear.ai**](http://usebear.ai) (especially if you’re B2B SaaS, we have great data for your space)\n\n🤝 **Introductions** - If you know heads of growth/marketing at Series A+ companies who care about search visibility\n\n📊 **Feedback** - What can we improve about our website, onboarding, product, etc?",
        "url": "https://www.ycombinator.com/launches/OWn-bear-get-recommended-by-ai-agents",
        "votes": 105,
        "created_at": "2025-10-01T22:29:01.620Z"
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    "id": 31010,
    "name": "Amika",
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    "website": "https://www.amika.dev/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Amika is infra to build your software factory.\r\n\r\nWe give your team sandboxed AI coding agents in the cloud: the same infrastructure Ramp, Coinbase, and Stripe built in-house. Kick off work from a web UI, CLI, Slack, or API. Use your preferred coding agent (Claude Code, Codex, etc.). Each agent understands your codebase, runs autonomously, and ships real PRs with live previews of the apps it changed. Use it as your daily driver or plug it into your own code-gen pipeline via API.",
    "one_liner": "Infra to build your own software factory",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1759722442,
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      "Infrastructure",
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      "America / Canada"
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/amika.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/amikadev/",
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      "name": "Tom Blomfield",
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      {
        "user_id": 101903,
        "full_name": "Dylan Mikus",
        "title": "Founder/CEO",
        "founder_bio": "Making infra for software factories. Helping people spin up sandboxed coding agents, and then control the interactively or programmatically so they can automate their entire SDLC.\n\nCMU grad in comp sci and ML\n2x YC founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dbmikus",
        "x_url": "https://twitter.com/dbmikus",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10786d1817ed7d689f6f3313f3b2c73f38c9f9a5.jpg"
      },
      {
        "user_id": 1013839,
        "full_name": "Jakub Cichon",
        "title": "Founder/CTO",
        "founder_bio": "co-founder / CTO at Amika. Building infra for software factories. \n\n2x YC founder.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jakub-cichon-14016a3b",
        "x_url": "https://x.com/jdcamika",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/095af1aef16261010001d5599b3059bc222330e3.jpg"
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    "launches": [
      {
        "id": 103929,
        "title": "Amika - the operating system for AI agents to write and verify code",
        "tagline": "Run fleets of human-in-the-loop or background coding agents inside cloud computers. Let them automate coding and verify it's correct.",
        "body": "Software isn't a craft anymore, it's a manufacturing problem.\n\nAt Amika, we're building **the open source operating system for coding agents to automate their work**, like how the factory automated manufacturing.\n\n**Amika gives each agent a cloud computer, and lets you build automated or human-in-the-loop workflows for agents to write code and prove that the code is correct.**\n\nA couple of examples:\n\n\\- Have Amika monitor production and auto-fix errors, testing the fix against your real app\n\n\\- Add Amika to shared customer Slack channels. Auto-implement customer requests and share a live preview the updated app with them\n\nCheck out some more examples in our video 👇\n\n<https://youtu.be/GxqFsiBNbww>\n\n# The problem\n\nAI coding agents made code generation cheap. Producing correct code at scale, with real quality controls, is still unsolved. You're left with a tradeoff: pore over every change and go slow, or vibe-code and ship slop.\n\nCoding agents are useful, but the surrounding system is missing.\n\n\\- They lack the right **dev environment to verify their work**\n\n\\- They lack the right **context to understand the full problem**\n\n\\- They lack **deterministic guardrails controlling what they can change**\n\n\\- They produce 10x more code, but teams lack **a system for 10x more review**\n\n# How Amika solves this\n\nAmika composes 5 primitives into its agent operating system:\n\n1\\. **Sandboxed environments**: isolated cloud computers with the repos, tech stack, MCP servers, skills, and context an agent needs.\n\n2\\. **Workflows**: programs as code or markdown files that define when an agent runs and what job it does.\n\n3\\. **Deterministic guardrails**: rules enforced on every code change, like \"do not cross this module boundary\" or \"every database query must include a customer ID filter.\"\n\n4\\. **Automated verification**: test, review, fix, and merge loops that check the work against your real tech stack before it ships.\n\n5\\. **Audit trails**: the agent chat session, code changes, which checks passed, and what the run cost.\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/a1246cf3-1ed1-435d-94fb-2cb7437b4995)\n\nAmika works with your existing coding agent subscriptions (Claude Code, Codex, etc.) so **you're not locked into one vendor**. Start agents from the web, Slack, GitHub, the CLI, or the API. At any point, a human can take over the sandbox and inspect the running apps, or drive from their own code editor.\n\nBecause each sandbox runs your full stack, you review the agent's work in a live preview of your real app, plus the verification artifacts it produced, like screen captures or API test requests, instead of poring over the diff line by line.\n\nWith Amika's workflows and environments, you can spend time building higher level loops for your agent to write and verify code, speeding up your product development.\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/60e16093-3dcf-4285-b73b-998c74507145)\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/3b84372e-0a00-46a3-afd1-d711547c256b)\n\n# Who we are\n\nWe're [Jakub](https://www.linkedin.com/in/jakub-c-14016a3b/) and [Dylan](https://www.linkedin.com/in/dbmikus/), two time YC cofounders.\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/497da8a5-bfa8-407e-98f6-b613d9389b50)\n\nWe pivoted our YC company to bet on this, and we already use Amika for the majority of our PRs. We're building it in the open: each primitive ships as open source, and our cloud platform packages the whole operating system into a software factory for teams.\n\n# Our ask\n\n\\- Sign up for a **free two-week trial at [amika.dev](https://www.amika.dev/)**\n\n\\- Dig into the **open source repo** on GitHub: <https://github.com/gofixpoint/amika>\n\n\\- If you want **help setting up your software factory**, book at demo at <https://cal.com/amika-dev/30min>\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/3e200f7d-2b3f-4e3e-99f3-d0249987c72c)\n\n",
        "url": "https://www.ycombinator.com/launches/R2H-amika-the-operating-system-for-ai-agents-to-write-and-verify-code",
        "votes": 18,
        "created_at": "2026-06-24T17:06:48.500Z"
      },
      {
        "id": 94868,
        "title": "Fixpoint - Uber for AI trainers and human-in-the-loop supervisors",
        "tagline": "Fixpoint helps AI data companies automate sourcing, vetting, and all HR for your expert annotator teams",
        "body": "Hello, world! We’re [Jakub](https://www.linkedin.com/in/jakub-c-14016a3b/) and [Dylan](https://www.linkedin.com/in/dbmikus/), the co-founders of [Fixpoint](https://fixpoint.co/).\n\n**Fixpoint helps AI training data companies hire the expert humans that create AI training data**.\n\nAI needs human experts to teach it new skills and benchmark its performance: PhDs for science, lawyers for contract review, etc. But finding and vetting these experts is time-consuming, and without properly vetting experts, you’re paying for bad data!\n\nFixpoint automates this process, connecting companies with verified experts at the push of a button, so you can focus on creating quality AI training data instead of recruiting.\n\n[Launch Video](https://youtu.be/9TCgpe0tT3w)\n\n**We have two products:**\n\n1. **Worker Vetting API** - Plug Fixpoint’s API into your onboarding workflow and vet the credentials and backgrounds of workers. **Catch 10x the worker fraud!**\n2. **White-Glove Expert Staffing** - When you need annotators fast, Fixpoint can source and hire a team of qualified experts. **Staff a team of 100s in just a couple weeks.**\n\n**Our track record:**\n\n* We’ve caught 10x the fraudulent applicants for top AI data companies\n* We’re partnered with data companies to staff teams for the top AI labs\n* We are GDPR ready and SOC 2 certification is underway\n\nUltimately, we're building the platform for \"human data ops\". Just as chip designers use TSMC for chip manufacturing, AI companies can use Fixpoint for the human expertise and tools needed to create specialized training data and evals.\n\n# Our ask\n\nSend us an email at [**founders@fixpoint.co**](mailto:founders@fixpoint.co) or [**grab a demo**](https://cal.com/fixpoint/demo) if:\n\n* You’re an AI data company or RL company and need a team of expert annotators\n* You’re an enterprise that needs to eval or benchmark your AI agents in a specialized domain (healthcare, legal, etc.)\n* You’re on the “human data” team at a model lab and have trouble managing experts or their data\n* You don’t fit in the above, but you or someone you know could use our services!\n\n# About us\n\nWe’re [Jakub](https://www.linkedin.com/in/jakub-c-14016a3b/) and [Dylan](https://www.linkedin.com/in/dbmikus/). We’re second time YC founders who’ve worked together since we met at Oscar Health in 2018. We’ve built everything from search systems, to chatbots, to data infrastructure, to AI web research agents.\n\n![uploaded image](/media/?type=post&id=94868&key=user_uploads/101903/ad8316ad-d855-46de-9ffc-67bb1fd62847)\n\n",
        "url": "https://www.ycombinator.com/launches/Og8-fixpoint-uber-for-ai-trainers-and-human-in-the-loop-supervisors",
        "votes": 25,
        "created_at": "2025-10-23T21:41:36.522Z"
      }
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    "id": 31011,
    "name": "Openroll",
    "slug": "openroll",
    "former_names": [
      "Compensara"
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    "website": "https://www.openroll.com",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Openroll is an AI-powered workspace for people and finance teams.\r\n\r\nOpenroll lets teams automate recurring work and run fully auditable workflows across their systems.\r\n\r\nCompensation, headcount, and budgeting in one platform.\r\n\r\nLearn more at https://www.openroll.com",
    "one_liner": "The AI workforce for People and Finance teams",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1758664179,
    "tags": [
      "B2B",
      "Productivity",
      "HR Tech",
      "Enterprise Software",
      "AI"
    ],
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    "batch": "Fall 2025",
    "status": "Active",
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    "regions": [
      "Sweden",
      "Europe"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/openroll",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/openroll.json",
    "year_founded": 2024,
    "city": "Stockholm",
    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/openroll/",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1762740,
        "full_name": "Mattias Lindell",
        "title": "Founder/CEO",
        "founder_bio": "Mattias is the CEO and co-founder of Openroll, where he is building the agentic platform for People and Finance teams. Before Openroll, he competed in elite youth football, co-led multi-billion procurement projects at Swedbank, and launched multiple ventures - from a bedsheet-cleaning service to consumer apps - while studying. He left his MSc in Finance at Sweden’s top university, SSE, to work full-time on Openroll.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lindellmattias/",
        "x_url": "https://x.com/MattiasLindll",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61f6aacd9511c99664139c956580c80e300222a6.jpg"
      },
      {
        "user_id": 2230084,
        "full_name": "Porsev Aslan",
        "title": "Founder/CTO",
        "founder_bio": "Reimagining how organizations work, automate, and operate with AI agents.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/porsev-aslan/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d33c6bbde4d4e16d321d18add41a05da6453d0d.jpg"
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    ],
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    "launches": [
      {
        "id": 94293,
        "title": "Openroll: The AI that Shows Exactly What Your Competitors Pay",
        "tagline": "AI agents that reveal competitor pay and guide every salary decision.",
        "body": "**TL;DR:** Companies spend trillions each year on salaries but still guess what to pay. Openroll ends that. Our AI agents reveal exactly how competitors pay – company by company, role by role – and guide leaders through salary decisions in real time.\n\nEarly customers are already closing candidates they used to lose, retaining their best people, and seeing 3X ROI in week one and six-figure P&L impact.\n\nKnow any tech People/HR leaders, CFOs, or CEOs? Let’s connect: [mattias@openroll.com](mailto:mattias@openroll.com)\n\nhttps://youtu.be/WfrVYtrUWmM\n\n**Problem**\n\nImagine playing chess without seeing the board.\n\nThat’s how companies set pay today. Salaries decide who joins, who stays, and who leaves – yet leaders still move blindly.\n\nIn fast-moving markets, the stakes are extreme. Miss the mark and:\n\n• The candidate you need takes a competing offer.\n\n• A top performer walks when they discover they’re underpaid.\n\n• Replacements cost months of time and resources.\n\nDespite salaries being the largest spend in business, companies still rely on industry averages, gut feeling, and overpriced consultants. By the time they get an answer, it’s already too late.\n\nThe consequences of guessing on pay are brutal: lost candidates, frustrated teams, and six-figure mistakes. And even the biggest, most sophisticated companies still make them.\n\n**What We’ve Built**\n\nOpenroll is an agentic AI platform that brings real transparency into compensation for the first time:\n\n* **See competitor pay, company by company:** Know exactly what your peers pay their employees. No averages. No black boxes. Just transparent data.\n* **AI-guided pay decisions:** From setting starting salaries to balancing cash vs. equity, agents guide leaders through the toughest calls.\n* **Speed is survival:** Weeks of manual work and spreadsheets collapse into seconds – giving you the edge to win and keep the people who matter most.\n\n![uploaded image](/media/?type=post&id=94293&key=user_uploads/1762740/cabffc7c-4a3c-4956-be6d-db93d501d7b4)\n\n**Why This Matters**\n\nHere’s what our users say:\n\n“Candidates we used to lose now close in days.”\n\n“We finally know where we stand in the market.”\n\n“Comp decisions that dragged on for weeks now take minutes.”\n\n“For once I know what my competitors actually pay”\n\n**Employees** love Openroll because they know pay is fair and transparent. **Managers** love it because they can act instantly and with confidence instead of wrestling with spreadsheets and guesswork. **Executives** love it because it keeps their teams together and turns compensation into a driver of growth, not risk.\n\nThe pull from tech companies has been great but any organization competing for talent is starting to see Openroll as essential infrastructure.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=94293&key=user_uploads/1762740/3c74d2d1-d720-4719-953e-8d0b235a3d29)\n\nWe are **Mattias Lindell** and **Porsev Aslan**. Over the past year, we’ve lived inside the world of compensation – shadowing HR teams, interviewing leaders, and building alongside early adopters.\n\nWe’ve sat in the rooms where offers were lost and talent walked away, and we’ve refined Openroll hand-in-hand with the companies fighting to keep their people.\n\n**Our Ask**\n\nKnow any CHROs, Heads of People, CFOs, or CEOs who care about retaining top talent? Please connect us.\n\nHave you ever been frustrated by surveys, consultants, or guessing games around pay? We’d love to hear your stories.\n\nReach out at: [mattias@openroll.com](mailto:mattias@openroll.com)",
        "url": "https://www.ycombinator.com/launches/OWr-openroll-the-ai-that-shows-exactly-what-your-competitors-pay",
        "votes": 18,
        "created_at": "2025-10-02T01:47:21.804Z"
      }
    ]
  },
  {
    "id": 31013,
    "name": "Rivet",
    "slug": "rivet-design",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/28bd19a3fc057798d00b7402f78d585553560d40.png",
    "website": "https://rivet.design/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rivet helps designers explore dozens of directions from their agent.  \r\n\r\nLearn more at rivet.design",
    "one_liner": "Explore dozens of design directions with your agent",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1759433421,
    "tags": [
      "Design",
      "Design Tools",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/rivet-design",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/rivet-design.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rivetdesign",
    "x_url": "https://x.com/designrivet",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/28bd19a3fc057798d00b7402f78d585553560d40.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 206350,
        "full_name": "Sam Gorman",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Rivet.  Previously led product engineering teams as an early engineer at Snorkel AI.  Built an app & grew it to 100,000+ users.  Studied Product Design & Computer Science at Stanford. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gormansam",
        "x_url": "https://x.com/gormankind",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/809eda01806b6cef902bda76b7f9f496fefafcb6.jpg"
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    "news": [],
    "launches": [
      {
        "id": 94987,
        "title": "Rivet - Burn down your design backlog",
        "tagline": "Product designers use Rivet to own the UI of their codebase. ",
        "body": "**TLDR:** Product designers own the look and feel of their app’s interface with Rivet’s visual AI tools. No more waiting for engineers. Point at any element in your live product, change it, and ship it yourself. Rivet translates precise design intent into clean, reviewable code you can merge.\n\n# [→ Try Rivet today at rivet.design](https://rivet.design)\n\n# **Watch a customer polish their product with Rivet:**\n\nHere’s an example of how [Item](https://www.item.app/) (a design-first, AI native CRM) used Rivet to refine details in their UI.\n\n1. **Select any element** on a web application. Use your styles to change it.\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/344678ec-87c2-4928-a80d-fed1f623d329)\n\n2. **Refine your UI**. Change spacing, colors, layouts. Get it pixel-perfect.\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/6d172766-1402-44fa-952a-9d3d5dd067ae)\n\n3. **Ship it.** When you’re done, Rivet pushes quality code to your repo just like a frontend engineer on your team would.\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/2da40da6-c814-4bb7-90d3-396c4995a894)\n\n# **The problem: Design debt piles up, even at the best companies.**\n\nEvery software company has a growing list of polish issues that never get fixed.\n\n* Broken loading states\n* Buttons that look wrong on mobile\n* Colors that don't match your app’s styles\n* Spacing that's off by 4px\n\nProduct designers live in these details, and they’ve been gated out of making real changes to real apps. Instead, they spend time crafting details that get lost when it comes to implementation.\n\nRivet helps designers own the quality of their interface, and frees up engineers to do more engineering work.\n\n## **Why I built Rivet**\n\nI’m a repeat founder and former early product engineer at Snorkel AI. I owned AI products for non-technical users as Snorkel scaled to Series D over 3 years. I started my career as a product designer and built at the intersection of design & engineering for the last 7 years.\n\nI built Rivet because I watched the work of brilliant designers get diluted. I think product designers today are like artists without a paintbrush. They have to ask others to paint for them instead. We should just give product designers a brush, and let them paint their masterpiece in code.\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/c566632e-8fc8-40c4-9d4c-a867bbfaa557)\n\n# **Designers → Start shipping today!**\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/4616fcce-815a-4ee8-b1d4-885386e67fe9)\n\n**Are you a product designer?** \n\n# **🎨  [Go to rivet.design and sign up](https://rivet.design)**\n\n**Not a designer? That’s great too!**\n\nSend [rivet.design](https://rivet.design) to your designer and let them start burning down your polish items\n\nYC startups and design studios are already using Rivet to shortcut design handoffs and fix every UI polish item they can think of. Designers are shipping their own work. And engineers are getting their time back.\n\n🟧 **YC deal:** We'll fast-track you off the waitlist & apply a YC discount\n\n✏️ Want to just rant about design handoffs or your growing backlog? Send your worst story to [sam@rivet.design](mailto:sam@rivet.design)",
        "url": "https://www.ycombinator.com/launches/Oi3-rivet-burn-down-your-design-backlog",
        "votes": 48,
        "created_at": "2025-10-29T01:26:52.491Z"
      }
    ]
  },
  {
    "id": 31016,
    "name": "Crosslayer Labs",
    "slug": "crosslayer-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d04232f7799c42a8a176b06d7c366c511a6cab7.png",
    "website": "https://www.crosslayerlabs.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Crosslayer Labs detects impersonation attacks on websites and APIs. We provide \"outside-in\" monitoring of customer infrastructure, comprehensively discovering and monitoring all Internet dependencies, including DNS, BGP, TLS certs, Javascript. We correlate signals from different layers of the Internet stack to identify attack patterns. Our alerts are actionable and contain root cause analysis/remediation recommendations. Our founding team is world renowned for previously inventing the MPIC standard adopted by all the major CAs including Google, Apple, Amazon. The MPIC standard is securing over 700 million websites via the issuance of over 3 billion digital certificates, and is now a global internet standard that protects every single HTTPS connection.",
    "one_liner": "Protect, monitor and defend your Internet presence",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1770673305,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/crosslayer-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/crosslayer-labs.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/108065591/",
    "x_url": "",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d04232f7799c42a8a176b06d7c366c511a6cab7.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 2814225,
        "full_name": "Henry Birge-Lee",
        "title": "Founder/CEO",
        "founder_bio": "I am am innovator in web and network security. I invented Multi-Perspective Issuance Corroboration (MPIC) which now secures every single HTTPS connection. I am currently focusing on building the Crosslayer Labs platform for web resource integrity.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/henry-birge-lee-211002121/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb71a7d12e55b997a889dead80bbf7d885e874e1.jpg"
      },
      {
        "user_id": 2799261,
        "full_name": "Grace Cimaszewski",
        "title": "Founder/CTO",
        "founder_bio": "I'm a recent PhD graduate from Princeton and security researcher. I've worked with the CA/Browser Forum to turn my research on TLS certificate security into ecosystem-wide requirements which now improve the security of every HTTPS connection you view in your browser. Before starting Crosslayer with my long-time research collaborators, I was a visiting research at Google and Corelight Labs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/grace-c-bb3945a3/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cacfdfdae5bdbb137046ddee85774b9dbd6b78e.jpg"
      },
      {
        "user_id": 2348947,
        "full_name": "Prateek Mittal",
        "title": "Founder",
        "founder_bio": "I am a professor at Princeton University and co-founder of Crosslayer Labs (YC W26). I specialize in the field of cybersecurity/privacy and am the recipient of the ACM Grace Hopper Award.  My research has helped secure every single web connection (HTTPS) worldwide and enhanced the security of deployed LLMs (e.g., GPT 3.5 and GPT4V at OpenAI). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prateek-mittal-aa859a45",
        "x_url": "https://x.com/prateekmittal_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/521d817792974179d869977bd4cff33015f95c2d.jpg"
      }
    ],
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    "news": [],
    "launches": [
      {
        "id": 97781,
        "title": "Crosslayer Labs: We discovered (and can protect you against) a new attack allowing hackers to spoof any website(!)",
        "tagline": "TLS certificates no longer guarantee website authenticity. We built Crosslayer Labs to stop hackers from stealing user credentials. ",
        "body": "**Tl;dr** Crosslayer Labs detects attacks on Internet infrastructure that allow hackers to impersonate websites and APIs. We would know; our team previously invented technology that secures every single web connection (HTTPS) worldwide.\n\n### The Problem\n\nImagine you are visiting [brex.com](http://brex.com) - but you’ve been redirected to an adversary spoofing Brex, while the lock icon on your browser still checks out.  Suddenly, all your startup money is drained. Science fiction? No, these are the next generation of security threats.\n\n<https://www.youtube.com/watch?v=Z7U3183IJf4> \n\n### The Solution\n\nCrosslayer Labs protects websites and APIs from hijack attacks. We discover and monitor network dependencies for your domain (across the entire network stack) to detect when someone is impersonating your website. Our approach is unique in the way that it combines data from your entire network stack.\n\n[https://www.youtube.com/watch?v=QgYjFO1j08A](https://www.youtube.com/watch?v=QgYjFO1j08A&authuser=0)\n\n### Team\n\nWe are a team of serious security researchers: we invented a technology called Multi-Perspective Issuance Corroboration (MPIC) that is used to sign digital certificates (over 3 billion and counting) for all websites. \n\n**Prateek** is a Professor at Princeton, and his research has revolutionized the security and privacy of internet communications and AI systems. He helped secure every single web connection (HTTPS) worldwide and enhanced the security of deployed LLMs (e.g., GPT 3.5 and GPT4V at OpenAI). He is the recipient of the ACM Grace Hopper Award, IEEE Fellow,  ACM Distinguished Member, and Distinguished Alumni awards from IIT Guwahati and UIUC.  \n\n**Henry** is a member of the CA/Browser Forum and former research staff at Princeton University. Henry’s research uncovered a fundamental security vulnerability in how TLS certificates are issued to websites. He is an author of the MPIC standard at the CA/Browser Forum and he founded the Open MPIC project that implements MPIC for 1.5 million certificates a day. His work also led to DNSSEC adoption by CAs, and he is a recipient of the IRTF’s applied networking research prize.\\\n\\\n**Grace** just finished her PhD at Princeton, where she  performed transformative research on the web PKI, and was named runner up for the Privacy Enhancing Technology Award and the Andreas Pfitzmann Best Student Paper Award. Grace mapped the attack surface of millions of websites to shape how MPIC was deployed by leading CAs, including working with Google Trust Services.  \n\n### Ask\n\nKnow any CISOs or security heads who would lose their job if their website was impersonated? We'd love to meet. Think: crypto exchanges, fintech, banks, health care, tax portals.  Email: [contact@crosslayerlabs.com](mailto:contact@crosslayerlabs.com)",
        "url": "https://www.ycombinator.com/launches/PR7-crosslayer-labs-we-discovered-and-can-protect-you-against-a-new-attack-allowing-hackers-to-spoof-any-website",
        "votes": 6,
        "created_at": "2026-02-13T16:10:15.717Z"
      }
    ]
  },
  {
    "id": 31018,
    "name": "item",
    "slug": "item",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/489b44af8e973c25eda472f6d5b28122caeafb54.png",
    "website": "https://item.app",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "item connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s source of truth — one place where your team and your AI agents share the full picture to act autonomously.\r\n\r\nAt the center is the Assistant — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\r\n\r\nFor repeatable work, you build Agents that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.",
    "one_liner": "The AI-Native CRM that works for you",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1762209746,
    "tags": [
      "B2B",
      "CRM",
      "Automation",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/item",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/item.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/99138518",
    "x_url": "https://x.com/newitemco",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/489b44af8e973c25eda472f6d5b28122caeafb54.png",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 322839,
        "full_name": "Andres Santanilla",
        "title": "Founder/CEO",
        "founder_bio": "Building what comes after the CRM - 2nd time founder ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/asantanilla",
        "x_url": "https://x.com/asantanillaj",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a2272e34b68c83be638d7987c2bf3c18f002b52.jpg"
      },
      {
        "user_id": 1639094,
        "full_name": "Akshay Guthal",
        "title": "Founder/CTO",
        "founder_bio": "Building what comes after the CRM",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/akguthal",
        "x_url": "https://twitter.com/akguthal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e2ee53ee004bf62a519be9c469eeb5479871fcf.jpg"
      }
    ],
    "jobs": [
      {
        "id": 88275,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/item/jobs/xD9P6r7-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.50% - 0.99%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js",
          "Tailwind"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95143,
        "title": "item: The AI-Native CRM that works for you",
        "tagline": "The CRM that knows your business and works like your best employee",
        "body": "**Hey there 👋 we’re Akshay and Andrés, and we’re building _item._**\n\nLaunch video: https://youtu.be/x8Z5QZNjdWw\n\n\\\n**In a nutshell:**\n\n_item_ is the first agentic CRM, a system that does the work. A system that understands your business the way your best employee does, and works for you 24/7.\n\nIf you’re building the future and still running on a 10-year-old CRM, let us show you what it feels like to run autonomously → [item.app](http://item.app)\n\n**Meet Item**\n\n_item_ connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s **source of truth** — one place where your team and your AI agents share the full picture to act autonomously.\n\nAt the center is the _Assistant_ — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\n\nFor repeatable work, you build _Agents_ that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.\n\n\\\n**The Status Quo**\n\nAI has changed nearly every part of work. Yet the system at the center, the CRM, hasn’t evolved. It’s manual, data incomplete, and still takes trained experts to setup and automate.\n\nWe believe a CRM should know everything about your company and be able to do human-level work on your behalf, just like your best employee would.\n\n\\\n**How it works:**\n\nAfter a meeting, item helps you send a follow-up based on the notes in that meeting and your history with that customer:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/38c59fd9-dc45-4ba6-a7db-69685a694356)\n\nitem searches the web to find information about any company or contact, allowing you to add deals with rich information without needing to enter fields yourself:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/f34649f4-38aa-4731-9b80-d49b6d2edf0d)\n\nYou can build agents in item to automate any recurring human-level process by writing a simple, Notion-style document:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/e61f581a-f4fa-402a-b16d-5955befb0a6e)\n\nitem gives you clean, context-rich contact and company profiles with table views and Kanban boards:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/2607b996-e8bc-47b4-b861-0ce9c75293cf)\n\n\\\n**How companies use item Agents today to run autonomously:**\n\n* Outbound Sales: finding and contacting qualified leads on email and LinkedIn\n* Inbound Management: qualifying and responding to leads that sign up to a waitlist or a self-serve product\n* Growing Existing Accounts: tracking customer data and automatically sending personalized upsell sequences based on usage\n* Keeping Pipeline Warm: setting up item to auto-update deals from emails and meetings\n\n\\\n**The team**\n\nWe met at AngelList, building tools to help founders start and grow companies.\n\n_item_ comes from that same spirit — built with care, designed with intention, and shaped by a decade spent building systems of record at places like SAP, IBM, and Follow-Up Boss.\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/0a95c55d-4aeb-4fe0-9888-709855648103)\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/9e59aeeb-1ac0-4bc3-9d10-ce6f463974de)\n\n",
        "url": "https://www.ycombinator.com/launches/OkZ-item-the-ai-native-crm-that-works-for-you",
        "votes": 138,
        "created_at": "2025-11-03T23:52:58.025Z"
      }
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  },
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    "id": 31022,
    "name": "Coasts",
    "slug": "coasts",
    "former_names": [
      "JSX Tool"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/14423e406f790420f115f8958c1af6eb85b97201.png",
    "website": "https://coasts.dev",
    "all_locations": "",
    "long_description": "A Coast (containerized host) is a local development runtime. Coasts let you run multiple isolated environments for the same project on one machine. As AI coding agents increasingly work in parallel across git worktrees, developers hit painful conflicts — clashing ports, duplicated databases, and fragile per-branch setup. Coasts solve this by giving each worktree its own fully isolated runtime, so multiple agents can build and test side by side without stepping on each other.",
    "one_liner": "Localhost service isolation and orchestration for git worktrees",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1762549706,
    "tags": [
      "Developer Tools",
      "B2B",
      "Productivity",
      "Design",
      "Web Development"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Unspecified"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/coasts",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/coasts.json",
    "year_founded": 2025,
    "city": null,
    "country": null,
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/jsx-tool/jsx-tool",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/14423e406f790420f115f8958c1af6eb85b97201.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 179922,
        "full_name": "Jamie Sunderland",
        "title": "Founder/CEO",
        "founder_bio": "Second time YC founder. Former YC Product Engineer (I made the YC investor CRM). I like weird front end things a lot. In a former life I started Cheqout (YC W21), a QR-based ordering platform that grew to over 250 restaurants and $30M GMV during the pandemic. Before that I was a developer on Airbnb's China Risk Team.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/jamesrainersunderland/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/55279d50203a8586e095775e92bc00711db83999.jpg"
      },
      {
        "user_id": 3082625,
        "full_name": "Dan Hyman",
        "title": "Founder/CTO",
        "founder_bio": "Senior Engineer and Cloud/AWS expert with experience leading teams building enterprise applications and infrastructure.  In a past life, I was a chef at a James Beard award winning restaurant.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dan-hyman-dev/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66c337a2349066c317e58730f0b8c9dec3f3a10b.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 95312,
        "title": "JSX Tool: In-Browser React IDE",
        "tagline": "The AI first IDE for React development",
        "body": "**tl;dr**\n\nJSX Tool is an in-browser IDE that creates a common language between developers and AI for building React UIs. Click any element in the browser to jump straight to the relevant line of code and edit it yourself, or provide precise context to an LLM to make updates.\n\nhttps://www.youtube.com/watch?v=JIIXvN7vhrs\n\n---\n\n---\n\n---\n\n**The Problem**\n\nLLMs have transformed how we write code, yet they consistently struggle with precise UI updates. The common belief is that AI simply doesn’t do well with visual tasks, but the real problem is that we're asking LLMs to understand UI without giving them proper context. They’re great at vibe styling but not great at producing precise UIs.\n\nWhen you prompt an LLM about styling or component changes today, you're describing visual elements through text alone. It's like giving directions without a map. Meanwhile, developers juggle between browser DevTools, their code editor, screenshot tools, and component explorers just to gather enough context to make AI useful for these kinds of tasks.\n\n**Our Solution**\n\nJSX Tool addresses this by letting you click on any element and prompt your LLM with precise DOM context, the exact source component, its styles, and its position in the React hierarchy. Everything happens in one place: inspect, prompt, edit, and see changes instantly. \n\nAnd when AI suggestions aren't quite right, our full IDE is right there in the browser with that same context, so you can jump to the exact line of code you want to edit with a single click. You get the benefits of AI, while keeping the creative control and the nuanced decision-making that UI development demands.\n\nNow developers and AI models share a common language for UI; both can reference the exact same visual elements with clarity, turning LLMs from guessing machines into powerful UI collaborators.\n\n**@Tagging:** In your prompts, you can either type @ and click on a section of your webpage to reference another element relative to the one you’re focused on OR you can type @/ to mention files and directories you want the LLM to have as context in your prompt.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/3082625/2b76e7e0-6efc-4bb5-8b16-86f1cffd6f08)\n\n**CSS Editor:** JSX Tool has a CSS editor that is nearly as feature-complete as the native CSS style editors found in browser element inspectors. Instead of applying your changes to a single element, you can see how your change to a line of JSX code would be applied globally.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/3082625/f911aeb0-3a85-4e30-9042-d49fd4a06d61)\n\n**LSP Integrations:** JSX Tool ships with a lightweight IDE for manually editing code, but still an IDE that does some heavy lifting. The JSX Tool IDE integrates in language servers for common React development tasks, so you can have things like type-checking, auto-complete, and linting upon save. We currently ship with LSPs for Typescript, Tailwind, ESLint, and Prettier.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/3082625/57a590b7-b2c0-41e1-90c3-336c839b7219)\n\nTo learn more or start using the extension, go to [jsxtool.com](https://jsxtool.com)!\n\n_Note: IDE features are currently in app review and will be available in our next release._\n\n**Team**\n\nJamie and Dan grew up in New York City and have been working on projects together for nearly 20 years. Before JSX Tool, we most recently built a mobile app for bypassing news site paywalls.\n\nJamie is a second-time YC founder. Prior to starting JSX Tool, he worked as a Software Engineer at YCombinator on their investor software. He previously co-founded Cheqout, a restaurant technology company that was a part of the YC W21 batch. Prior to his first startup, Jamie worked on Airbnb's China Risk Team.\n\nJamie has had a deep interest in higher-order and visual programming for a while. He previously built a version control system to diff and merge structured, non-textual assets. Many of the technical problems encountered in that project were very similar to those encountered in JSX Tool.\n\nDan worked most recently as a Senior Software Engineer at Everblue, where he led engineering teams building workflow applications to power US government systems. Prior to that, he worked as a Senior Cloud Engineer at Sela US. He got his start in tech in the world of React and has since returned to his roots. In a former life, he was a Chef at a James Beard award-winning restaurant.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/89898/dc4d88be-c544-45e6-9936-8dd8f08e80aa)\n\n",
        "url": "https://www.ycombinator.com/launches/OnI-jsx-tool-in-browser-react-ide",
        "votes": 53,
        "created_at": "2025-11-09T16:01:49.332Z"
      }
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    "id": 31030,
    "name": "Haladir",
    "slug": "haladir",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b1a47bf16f93d71a3d1f3af6d10a6c736e170b2.png",
    "website": "https://www.haladir.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Haladir builds advanced AI systems for logistics. We sit on top of your WMS, TMS and ERP, turning their data into decisions across supply chain planning and execution: solver-grade optimization that decides what should happen, and AI agents that run the workflows. Today's AI brought intelligence. The next frontier is judgement.",
    "one_liner": "Operational Intelligence for Global Logistics",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1766374394,
    "tags": [
      "Logistics",
      "Supply Chain",
      "Operations",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/haladir",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/haladir.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/haladir/",
    "x_url": "https://x.com/Haladirofficial",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/haladir",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b1a47bf16f93d71a3d1f3af6d10a6c736e170b2.png",
    "app_video_url": null,
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    ],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 2487577,
        "full_name": "Jibran Hutchins",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Haladir | Carnegie Mellon University",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jibran-hutchins-42500b26b/",
        "x_url": "https://x.com/jibranhutch",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/987640bffd5262eeebe44296085c3da0038b2741.jpg"
      },
      {
        "user_id": 2695652,
        "full_name": "Quan Huynh",
        "title": "Founder/CIO",
        "founder_bio": "Cofounder @Haladir",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/quanmhuynh/",
        "x_url": "https://x.com/quanmhuynh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05de19f72552f6a3317ae6d45e1cbbc378ab8060.jpg"
      },
      {
        "user_id": 2711900,
        "full_name": "Joseph Tso",
        "title": "Founder/COO",
        "founder_bio": "Co-founder @ Haladir | CS @ Princeton",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josephtso",
        "x_url": "https://x.com/josephtso914",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20afb2e3ed767cd1880a6f822f73c5817a60fb4a.jpg"
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    "jobs": [],
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    "launches": [
      {
        "id": 98580,
        "title": "Haladir: Building Operational Superintelligence",
        "tagline": "Combining formal solvers with LLMs to make AI reliable for high-stakes operational decisions",
        "body": "**TL;DR:** Haladir is an AI product lab that combines formal solvers with LLMs to make AI reliable for constrained systems. We turn unreliable model outputs into **verifiable, optimal decisions** for industries like **logistics, critical software, and manufacturing**. We are working with one of the leading AI labs to bring our technology to post-training.\n\n**Launch Video: [https://www.youtube.com/watch?v=caPPFAmL8Iw](https://www.youtube.com/watch?v=caPPFAmL8Iw)**\n\n**The Problem**\n\nOperationally-complex companies (logistics, supply chain, etc.) need to make thousands of decisions a day under tight, real-world constraints. Even when given ample context, we observe that the top models often fail to understand these constraints when placed in difficult scenarios, providing suboptimal or confidently incorrect responses. Though they excel at individual tasks like coding and data analysis, optimizing across systems with millions of interdependent variables under hard constraints remains beyond what current models can do on their own.\n\n**The Solution**\n\nHaladir combines formal solvers with LLMs to give models a fundamental understanding of constraints rather than just semantic context. For logistics and supply chain companies, this means routing, scheduling, and resource allocation that AI can reason through rather than guess at.\n\nWe build at both the model training layer and the application layer. On the training side, we build solver-based RL environments and data pipelines for frontier labs. On the application side, we build model harnesses that allow deployed agents to operate within constrained, sensitive workflows and make optimal decisions. Decades of development in solvers like Gurobi and SAT/SMT have produced incredibly powerful technologies, but there's a growing gap between these tools and how AI is deployed today. We're here to close that gap.\n\nRead our research: [haladir.com/research](http://haladir.com/research)\n\n**The Team**\n\nIn high school, we published and were cited in IEEE and Elsevier Q1 journals for operations research and machine learning. We left Carnegie Mellon, Princeton, and UVA to build Haladir.\n\n**Our Ask**\n\nWe'd love to talk with you if:\n\n* You work at a logistics, supply chain, or manufacturing company where AI isn't yet delivering on real decision-making\n* You work at or with frontier AI labs interested in solver-based training environments\n* You know talented people in operations research, formal methods, or applied ML\n\n👉 Contact us at [founders@haladir.com](mailto:founders@haladir.com)\n\n💼 Follow us on LinkedIn: www.linkedin.com/company/haladir\n\n📱 Follow us on X: x.com/Haladirofficial",
        "url": "https://www.ycombinator.com/launches/Pe0-haladir-building-operational-superintelligence",
        "votes": 21,
        "created_at": "2026-03-08T21:01:35.301Z"
      }
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  },
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    "id": 31036,
    "name": "Mantis",
    "slug": "mantis",
    "former_names": [
      "Mantis Biotechnology"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2b5bfa4fe3cce9bf181ad8d59612747b7903c6d.png",
    "website": "https://mantisbiotech.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Mantis is a digital twin company that combines LLMs with high-fidelity physics simulations in order to convert rare and difficult-to-access human behavior data into predictive models. ",
    "one_liner": "Digital Twins of humans",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1766166166,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/mantis",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mantis.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mantis-biotech/",
    "x_url": "https://x.com/home",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/mantis-biotech",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2b5bfa4fe3cce9bf181ad8d59612747b7903c6d.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1566590,
        "full_name": "Georgia Witchel",
        "title": "Founder/CEO",
        "founder_bio": "I'm an Ex-elite ice climber turned repeat computer science / biomedical founder. After bringing climbing to an Olympic stage (Lilihammer 2016), breaking 8 world records, and developing the sport of ice climbing, I dropped out of high school, got a degree in CS from Harvey Mudd, was a founding engineer for a sports tech company, founded a YC company (Louiza Labs), and earned a master's in Bioengineering. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/georgia-witchel-852b78149/",
        "x_url": "https://x.com/GWitchel",
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    ],
    "jobs": [],
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  },
  {
    "id": 31041,
    "name": "Ploy",
    "slug": "ploy",
    "former_names": [
      "[Placeholder] Bryant Chou NewCo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccc3c5e484f835514f0cfb2db7ddd1510a6b0be4.png",
    "website": "https://ploy.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Ploy turns your website into your company's growth engine. ",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1780958556,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ploy",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ploy.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ploy-ai",
    "x_url": "https://x.com/ployai",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 5667,
        "full_name": "Bryant Chou",
        "title": "Founder",
        "founder_bio": "cofounder and CTO — vungle ➡️ $LFTO (2011-2013)\ncofounder and CTO — webflow (2013-2025)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bryantchou",
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    ],
    "jobs": [
      {
        "id": 93359,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/ploy/jobs/XsX0ycv-founding-engineer",
        "location": "San Francisco, CA, US",
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        "equity_range": "",
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    "launches": [
      {
        "id": 103433,
        "title": "Ploy turns your website into your company's growth engine.",
        "tagline": "Ploy is an all-in-one marketing platform built around your website, the hub that connects all of your growth channels.",
        "body": "After 12 years as the cofounder and CTO at Webflow I left fulfilled knowing folks can design beautiful sites without writing code — but now I'm out to make sure your website doesn't just look great, but it becomes your business' main engine of growth.\n\n<https://youtu.be/NONVS2IoDQE>\n\nAgents have changed what's possible, which is why I'm building again. Ploy deploys swarms of marketing and web design agents that monitor your site and proactively launch campaigns, content, and optimizations.\n\n**TL;DR [Ploy](https://ploy.ai/)** is the marketing platform that turns your website into your company's growth engine. Connect your site and swarms of marketing agents run it for you: designing pages, writing copy, launching campaigns, and optimizing what's working. \n\n## The Problem\n\nMost founders ship an early website and then forget about it. In the early days, a single-page site is often good enough... but once you start signing more customers, your website becomes a critical growth lever.\n\nIf you're a founder looking to activate your website, you have a few options: hire a marketing lead, work with an agency, or try to vibe code together a few landing pages and growth flows. These are expensive and distracting during a time when you should be focused on customers and your product.\n\n## The Solution\n\nPloy gives founders the marketing infrastructure of a growth team without needing to make an early hire. Here's how it works:\n\n### 1. Get your site on Ploy in minutes.\n\nPaste your URL and Ploy slurps your site down to the last pixel — extracting your design system, components, and brand content. Don't have a site yet? Ploy can design and build one from scratch, trained on thousands of modern web design patterns.\n\n### 2. Run PloyBooks — marketing strategies on autopilot.\n\nPloy's agents come pre-trained with expert skills we call PloyBooks. Spin up a set of ABM pages targeting a new account and publish them under your domain in minutes. Run an SEO audit. Redesign an underperforming landing page. Launch paid ads. And if there isn't a PloyBook for what you need, write your own, and Ploy's agents will handle the rest.\n\n### 3. Your website and your company scale together.\n\nPloy watches your traffic, spots gaps and opportunities, and proactively suggests new Ploys for you to run. And it remembers everything as you grow: every experiment, every page, every campaign that did (or didn't) resonate with your customers. Over 13% of the YC P26 companies are using Ploy to power their website and to drive automated revenue. The earlier you plug Ploy into your business, the smarter it gets about what actually works for you. \n\nAnd Ploy keeps working even after you add marketers to your team. Companies like Hex and Clay are using Ploy to run programmatic SEO engines and generate ABM pages at scale.\n\n## Why we're building this\n\nI've spent most of my career working on websites, and I think the space is about to change more in the next few years than it has in the last 15 combined. I was CTO of Vungle, then spent 12+ years as co-founder and CTO of Webflow, where I built the core product, CMS, and hosting that now power \\~1.5% of the internet.\n\nAI has unlocked a new class of agents and primitives that make the website a game-changing growth hub and marketing system of record. That's exactly why I'm stoked to be building Ploy alongside a killer founding team here in San Francisco.\n\nRun your first Ploy today: <https://ploy.ai/auth/sign-up>\n\n![uploaded image](/media/?type=post&id=103433&key=user_uploads/5667/67ea05c2-1fd3-4da2-b885-baa6f1f522fd)\n\n",
        "url": "https://www.ycombinator.com/launches/QuH-ploy-turns-your-website-into-your-company-s-growth-engine",
        "votes": 23,
        "created_at": "2026-06-17T14:06:07.903Z"
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    "id": 31046,
    "name": "Linzumi",
    "slug": "linzumi",
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    "website": "https://linzumi.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Linzumi is the chat your engineering team uses to direct dozens of AI coding agents.\r\n\r\nKick off work, review it, ship it. All from chat.\r\n\r\nSee every agent's work. Unblock the agents that need you from your laptop, your phone, the coffee line. Your teammates see it too.\r\n\r\nEvery decision your team makes compiles into a source of truth - what to build, why it changed, how your agents should act. That same source generates new work and verifies completed work.\r\n\r\nDeliberative alignment, repurposed from aligning LLMs to aligning companies.",
    "one_liner": "Team chat to command all your company's coding agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1781215175,
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    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/linzumi.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/linzumi",
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      "name": "Garry Tan",
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    "founders": [
      {
        "user_id": 19683,
        "full_name": "Sean Grove",
        "title": "Founder/CEO",
        "founder_bio": "Sean Grove builds systems that turn human intent into reliable software. At OpenAI he spent years in post‑training and alignment reasoning, helping develop model‑spec infrastructure and deliberative‑alignment techniques. He founded OneGraph (acquired by Netlify), was Principal Architect at Netlify, and now builds Linzumi.\n\nSean enjoys writing about himself in the third person. Sean hungry. Sean work hard.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/segrove/",
        "x_url": "https://x.com/sgrove",
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    "launches": [
      {
        "id": 103435,
        "title": "Linzumi: team chat for directing AI coding agents",
        "tagline": "Team chat for directing dozens of AI coding agents",
        "body": "# Hi everyone, I'm Sean, and I’m launching Linzumi today\n\n**Linzumi is the team chat your engineering team uses to direct dozens of AI coding agents at once.** Kick off work, review it, ship it: all from chat. Try it at <https://linzumi.com>.\n\n> For a limited time, every team chat account also gets free daily access to state of the art open-weights intelligence, GLM 5.2 at high speed, through our partnership with [Wafer.ai](http://Wafer.ai).\n\n<https://www.youtube.com/watch?v=EM53ACaIHyg>\n\n## The problem\n\nThe bottleneck in software has moved. Execution is basically free now: AI agents can write, test, and ship code 24/7. _The new constraint is human decisions and verification_. Whoever surfaces the right decision to the right person at the right moment unlocks 10x throughput. Whoever doesn't watches their agent fleet stall.\n\nIf you've ever tried to keep three coding agents productive at once, you know the feeling. You jump between PR tabs, miss approvals buried in Slack, and find one agent has sat idle for 20 minutes waiting on a one-line decision. It's a fascinating moment to be building software: vastly easier and vastly harder at the same time.\n\n![uploaded image](/media/?type=post&id=103435&key=user_uploads/19683/9019e12e-5088-4b41-9321-28a417dade5a)\n\n## How Linzumi works\n\nConnect your machine, kick off work in chat, and review what every agent is doing from your laptop, your phone, or the coffee line. Works with Codex today, Claude Code coming soon. Your teammates see it all too: agent work is no longer buried in invisible terminals.\n\n<https://www.youtube.com/watch?v=AQP5tQGZ9Jc>\n\nBut the real unlock is underneath. As your team works, Linzumi keeps every decision close to the work itself: what to build, why it changed, who approved it, and what the agents should do next. The decision inbox surfaces only the calls that need a human, so instead of reconstructing context from terminals, PRs, chats, and memory, your team has one shared place to steer the whole fleet.\n\n_Continuous Context Compilation_\n\n<https://www.youtube.com/watch?v=TNJbWKYiDyc>\n\n## Backstory\n\nI'm a 3x YC founder. Before Linzumi I was at OpenAI on post-training and alignment research, where I worked on systems for making models follow written specs and produce more reliable reasoning. Working with coding agents on my own projects showed me the same kind of coordination problem at the team level: the agents could execute, but the bottleneck was deciding what should happen next and checking whether the result matched intent.\n\nThe mission now is to make everyone the CEO of their own 1,000-agent company: able to direct more work, make better decisions, and become the best version of themselves as a builder.\n\nWhen you combine that shared context with calibrated decisions, even the smallest form factor can do surprising amounts of work, like shipping a customer feature from your phone on the way to the meeting.\n\n_Hands-free work_\n\n<https://www.youtube.com/watch?v=pmqf3kwuOqI>\n\n## What we're asking for\n\nIf you run AI coding agents (or want to), try Linzumi at <https://linzumi.com>. It's free to get started and we'd love your feedback.\n\nWe're especially looking for:\n\n• Engineering teams running multiple coding agents who want to scale to dozens (honestly, thousands by end of year)\n\n• Founders who feel like the bottleneck in their own dev cycle\n\n• Anyone curious about better human-agent coordination for company-scale work\n\nDM me on X (@sgrove) or email [sean@linzumi.com](mailto:sean@linzumi.com). I read every reply.",
        "url": "https://www.ycombinator.com/launches/QuJ-linzumi-team-chat-for-directing-ai-coding-agents",
        "votes": 25,
        "created_at": "2026-06-23T16:43:17.655Z"
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    "id": 31048,
    "name": "FullSeam",
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    "long_description": "FullSeam builds agents for corporate accounting. Our agents replace manual accounting tasks that typically happen outside of our customers’ accounting software, like accounts payable, accounts receivable, and reconciliation.",
    "one_liner": "AI agents for corporate accounting teams",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1769713322,
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    "stage": "Early",
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    "year_founded": 2026,
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    "linkedin_url": "https://www.linkedin.com/company/fullseam/",
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        "full_name": "Thomas Dowling",
        "title": "Founder/CEO",
        "founder_bio": "Tom is the co-founder of FullSeam (W26). FullSeam automates work for corporate accounting teams. \n\nHe previously co-founded TaxProper (S19), the leading property tax software for institutional real estate investors, which was acquired by Opendoor (NASDAQ: OPEN) for 8-figures in 2022.\n\nHe advised the Mayor of Chicago and was appointed by Illinois Governor JB Pritzker to oversee a $700m/year state agency. He has a BA from UIUC and an MSc from Oxford, where he was a Rhodes Scholar.",
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        "linkedin_url": "https://linkedin.com/in/thomas-dowling-2a3aabb7",
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        "full_name": "Aaron Coppa",
        "title": "Founder/CTO",
        "founder_bio": "Aaron is the co-founder of FullSeam (W26), the AI employee for finance and accounting teams.\n\nHe was the founding engineer at TaxProper (S19), the leading property tax software for institutional real estate investors, which successfully exited to Opendoor (NASDAQ: OPEN) in 2022.",
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        "full_name": "Geoff Segal",
        "title": "Founder/President",
        "founder_bio": "Geoff is the co-founder of FullSeam (W26), the AI employee for finance and accounting teams.\n\nHe previously co-founded TaxProper (S19), the leading property tax software for institutional real estate investors, which successfully exited to Opendoor (NASDAQ: OPEN) in 2022.",
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      {
        "id": 97900,
        "title": "FullSeam: Your AI-powered finance and accounting teammate",
        "tagline": "Automate accounts receivable and accounts payable",
        "body": "Hey everyone 👋\n\nWe’re [Tom](https://www.linkedin.com/in/thomas-dowling-2a3aabb7/), [Geoff](https://www.linkedin.com/in/geoff-segal-744407ba/), and [Aaron](https://www.linkedin.com/in/aaron-coppa-451a1955/), the co-founders of [FullSeam](https://fullseam.com/).\n\n# **TL;DR**\n\n**FullSeam is your AI-powered finance and accounting teammate.** \n\nFullSeam agents log into a company's existing accounting tools and perform routine tasks that accounts receivable and accounts payable teams usually do by hand - like communicating with vendors and customers, recording payments, and updating financial records.\\\n\\\n**Ask:** Is your accounting team doing AR and AP manually? Introduce us! Email [tom@fullseam.com](mailto:tom@fullseam.com) or book a [demo here](https://fullseam.com/book).\n\nWe’re also helping customers with cash application, reconciliation, and more. Feel free to reach out if your team is doing a process manually that you think could be automated! \n\n<https://www.youtube.com/watch?v=-mtzIp6MhFE>\n\n# 👫 Our story\n\nWe’re the same team that founded TaxProper, our first YC-backed company. At TaxProper, we paid more than a $1 billion a year in property tax payments for our customers until we were successfully acquired by Opendoor. \n\n![uploaded image](/media/?type=post&id=97900&key=user_uploads/135383/6d1853f9-5cc5-4804-9644-e5ab59b94d90)\n\nWe started FullSeam because we lived this pain ourselves.\n\nAt TaxProper, we were growing quickly — but our accounting team was drowning in invoicing, reconciliations, customer questions, and exception handling. The software we used kept records, but it didn’t do the work. Humans still had to chase emails, upload documents, correct entries, and follow up until payment landed.\n\nWe realized accounting teams don’t need another dashboard — **they need teammates**.\n\n# How it works\n\nFullSeam's AI agents plug into your ERP, billing system, and spreadsheets and take over repetitive, error-prone accounting and finance work – without changing how your team operates.\n\n![uploaded image](/media/?type=post&id=97900&key=user_uploads/135383/6dfee408-d7bd-4a26-b717-df5d1e9d9061)\n\nFor accounts receivable teams, FullSeam:\n\n* Follows up with customers until payment is received\n* Produces requested documentation\n* Enters invoices and updates directly into customer AP portals\n\nFor accounts payable teams, FullSeam:\n\n* Ingests invoices from email, portals, and PDFs\\\n  Matches invoices to POs, contracts, and proof of service\n* Follows up with vendors when information is missing\n* Categorizes expenses, pushing clean entries into your GL\n\n# Ask\n\nIs your accounting team doing AR and AP manually? Introduce us! Email [tom@fullseam.com](mailto:tom@fullseam.com) or book a [demo here](https://fullseam.com/book).\n\nWe’re also helping customers with cash application, reconciliation, and more. Feel free to reach out if your team is doing a process manually that you think could be automated! \n\n![uploaded image](/media/?type=post&id=97900&key=user_uploads/135383/947901a4-64e7-44cc-88e6-9f38666be879)\n\n",
        "url": "https://www.ycombinator.com/launches/PT2-fullseam-your-ai-powered-finance-and-accounting-teammate",
        "votes": 17,
        "created_at": "2026-02-17T19:10:30.411Z"
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    "id": 31051,
    "name": "Corvera",
    "slug": "corvera",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Corvera (YC W26) is the AI sales agent for CPG brands. We turn the data a brand already has into the actions its sales team takes today.\r\n\r\nA CPG brand sells into tens of thousands of independent US stores through dozens of distributors, and works that base with a handful of people. CLEAN Cause, a $20M yerba mate brand, covers 21,000 stores through 46 distributors with a four-person sales team. The accounts worth a call are not capped by headcount. The team is.\r\n\r\nCLEAN Cause now runs its daily sales decisions on Corvera: 5,000 queries in 40 days across 12 users, $250K of opportunities surfaced within days, and a 7x return on the analysts they would otherwise hire.\r\n\r\nWith Corvera in place, every sales rep starts the morning with:\r\n- The stores to act on today, ranked and priced, with the reason on the row,\r\n- The outreach already drafted to the right contact at the right distributor, and\r\n- The follow-up booked, logged, and measured against the goal it was set to move.\r\n\r\nAll from the distributor feeds, retailer portals, and ERP data they already have, resolved into one context layer - without a data team, and without handing their sales to a broker.\r\n\r\nWe’re founded by Chris (2x Founder; ex-CEO at Better Nature; Forbes 30U30), Dirk (ex-Google Data & AI Lead), and Matthew (ex-Head of Product at Rosemark; Princeton MEng in CS).\r\n\r\nTo date, we’ve raised $6.2M and are backed by YC, firstminute capital, 6 Degrees Capital, 20VC, Rebel Fund, Duke Capital Partners, and more. Our ICP is US CPG brands doing $20M+ in retail revenue through UNFI, KeHE and DSD distributors. We sell to VPs of Sales and CEOs.\r\n\r\nThe incumbents prove the scale. Brokers take 5-12% of a $350B US independent grocery market, and Advantage Solutions, a publicly traded company, does $3.5B in annual revenue.\r\n\r\nOur mission is bold: to enable the next generation of unicorn CPG brands to be run by teams of less than 10 people.\r\n\r\nOur vision is even bolder: to give every CPG brand the coverage of a full sales team at a fraction of the headcount, and displace the broker network that covers the US independent channel today.\r\n\r\nVisit www.corvera.ai to learn more!",
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/covera-ai/",
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        "full_name": "Christopher Kong",
        "title": "Founder/CEO",
        "founder_bio": "2× founder; previously CEO & Co-Founder of Better Nature, Europe's #1 tempeh brand - sold in 5,000 retail stores across 6 countries. Closed every sales deal and led every fundraise. Turned down a job offer at McKinsey to start the business straight out of university. Worked very hard and learnt a lot about how CPG brands operate.\n\nOxford Uni grad, Forbes 30 Under 30, and World Athletics-ranked marathon runner. Now giving everything to Corvera, the AI sales engine for CPG brands.",
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        "full_name": "Dirk Breeuwer",
        "title": "Founder/CTO",
        "founder_bio": "Previously AI Lead at Google. Led the AI transformation for the Google Pixel in EMEA driving 20%+ cost reductions by automating processes using data and AI. Build Google's Global marketing data warehouse, enabling use cases including marketing mix models which helped optimise $100M+ in marketing spend. \n\nBefore Google I built Hugo's (LATAM last mile delivery acquired by Delivery Hero) order forecasting model, as well as site location models informing regional retail chain store expansion. ",
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      {
        "user_id": 1655952,
        "full_name": "Matthew Collins",
        "title": "Founder",
        "founder_bio": "Co-founder and CPO of Corvera, the AI agent workforce for CPG back-office. Ex-CPO of Rosemark (successor startup to Rosetta acquired by Publicis for $575m). Grew Eton's CS dept. Princeton ECE grad and varsity lightweight rower.",
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      {
        "id": 96996,
        "title": "Corvera 🛒 | AI agents for CPG brands",
        "tagline": "AI agents that automate retail brand ops and increase profits by 40%",
        "body": "Hey, we’re [Chris](https://www.linkedin.com/in/cwnkong/), [Dirk](https://www.linkedin.com/in/dirkbreeuwer/) and [Matthew](https://www.linkedin.com/in/itsmcollins/) - cofounders of Corvera!\n\n# **TL;DR**\n\nCorvera is the AI agent workforce for CPG back-office. We help retail brands increase profits by up to 40% by deploying digital workers that run their operations. \n\n**Ask:** Looking for intros to CPG brands that sell into retail, ideally with &gt; $50M in ARR. Direct them to our website to schedule a demo!\n\n**Website:** <https://www.corvera.ai/>\n\n**Book a demo:** <https://www.corvera.ai/schedule-demo>\n\n<https://www.youtube.com/watch?v=o5ZLvv9Cgro>\n\n### **The Problem**\n\nRetail CPG brands are drowning in operational debt.\n\n* **Ops is a massive opportunity cost** – US CPG brands waste 40% of their time and spend $78bn managing supply chains when they should be getting their products out there and selling to more customers.\n* **Poor ops is a huge growth bottleneck** – CPG founders typically stem from product, marketing, or sales backgrounds. Therefore, ops handled by non-ops founders = distraction, pain, and time wasted on non-value-add tasks.\n* **Ops pain scales with the brand –** Ops debt and headcount grow as a brand serves more customers, launches more products, and operates in more geographies, further hampering the brand’s growth.\n\n### **The Solution**\n\n**Corvera is the fully autonomous command centre managing ops for fast-growing retail brands.** \n\nWe help brands cut wastage, improve margins, and maximise revenue, with an AI workforce that knows exactly how CPG brands work. We automate the 3 core ops workflows which consume the most time and hamper growth:\n\n**1) Sales Order Processing**\n\n_Process orders end-to-end without lifting a finger._\\\n\\\nCorvera plugs into your existing tools and automatically processes sales orders end-to-end, from fulfillment to invoice. It parses email PDFs and text, matches them against known entities in our catalogue, and executes downstream actions with human-in-the-loop approvals.\n\n**2) Inventory Management**\n\n_Track inventory across every location in real time._\n\nCorvera knows exactly where your stock is and how much you’ve got at all times. We seamlessly sync inventory data across all of your warehouses, track shipments and transfers, and suggest actions to rebalance stock across your estate to maximize short-term revenue.\n\n**3) Demand Forecasting & Supply Planning**\n\n_Forecast demand in real time and automatically process purchase orders to prevent stockouts._\n\nCorvera learns from your sales history and, coupled with insights from your team, forecasts demand in real time. With full visibility of your inventory across all locations, Corvera suggests corrective actions to prevent stockouts, so you can maximize your revenue, keep your customers happy, and accelerate your growth. \\\n\\\n**In short:** We take away ops pain from CPG brands, allowing them to do what they do best - market and sell their products to their customers. \n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=96996&key=user_uploads/3038174/4e3af8f4-816c-4f7e-bb27-9a529803d966)\n\nFrom Left to Right:\n\n[**Dirk Breeuwer**](https://www.linkedin.com/in/dirkbreeuwer/) (Co-Founder & CTO)\n\nFormerly Data and AI Lead at Google with 6+ years of experience. Led Google’s marketing AI transformation, incubating five AI systems, including a multi-agent workflow automation that improved brand compliance review efficiency by 90%.\n\n[**Christopher Kong**](https://www.linkedin.com/in/cwnkong/) (Co-Founder & CEO)\n\n2x Founder, Forbes 30U30, formerly CEO of Better Nature - one of Europe’s fastest-growing and largest meat-free brands, active in 6 countries and sold in 5,000+ retail stores. Closed every major sales deal and led every fundraise.\n\n[**Matthew Collins**](https://www.linkedin.com/in/itsmcollins/) (Co-Founder & CPO)\n\nEx-CPO at Rosemark, an AI-powered B2B data analytics and marketing platform, and scaled the Computer Science department at Eton College, the UK’s most prestigious boarding school. A Princeton grad with an MEng in CS. \n\n[**Berk Güngör**](https://www.linkedin.com/in/berk-g%C3%BCng%C3%B6r-35196a14a/) (Founding Engineer & Head of AI Engineering)\n\nAI/ML Engineer with 6+ years of experience, focused on applied LLMs and real-world AI automation. Holds an MSc in AI from the University of Hamburg. An all-round beast and an incredible asset to the team - we’re lucky to have him.\n\n### **What We’re Looking For**\n\n**Introductions to CPG retail brands with &gt;$50M of revenue.** We’ve got a product that’s ready to go. Keen to meet as many CPG brands as possible between now and demo day!\n\n### **Get In Touch**\n\nContact us: [founders@corvera.ai](mailto:founders@corvera.ai)\n\nBood a demo: <https://www.corvera.ai/schedule-demo>",
        "url": "https://www.ycombinator.com/launches/PES-corvera-ai-agents-for-cpg-brands",
        "votes": 17,
        "created_at": "2026-01-21T02:00:02.532Z"
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    "id": 31057,
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    "website": "https://valgo.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Insurers struggle to price autonomous systems because the historical data simply doesn't exist. Your car insurance draws from over 30 billion claims records, but autonomous trucks and robots have nearly zero. Valgo is the risk quantification platform that closes that gap. We are building probabilistic models of routes, tasks, and environments from the bottom up. We output a simulated loss estimate that insurers need to price coverage. Valgo is the foundational layer that gives insurance providers confidence to properly price autonomy risk.\r\n\r\nOur team combines expertise in risk estimation for autonomy with deep experience in the insurance industry. Sydney and Robert are Stanford PhDs with leading expertise in safety of physical AI systems. Sydney wrote the textbook on validating safety-critical systems and teaches the course at Stanford. Robert spent 7 years at MIT Lincoln Laboratory on the core team that designed and validated an FAA-certified aircraft collision avoidance system, now a worldwide standard. Jon is a Sloan Fellow from the Stanford GSB and an actuary who spent over 12 years in insurance leadership and led over $5 billion in M&A as head of corporate development for one of the largest insurers in Asia-Pacific.",
    "one_liner": "Insurance risk layer for physical AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1763584142,
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/valgo",
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    "year_founded": 2025,
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        "full_name": "Sydney Katz",
        "title": "Founder/Technology",
        "founder_bio": "Stanford Aero/Astro PhD with thesis on safe machine learning. Author of \"Algorithms for Validation\" textbook. Lecturer for \"Validation of Safety-Critical Systems\" course at Stanford. Industry experience at Reliable Robotics, MIT Lincoln Laboratory, Johns Hopkins Applied Physics Laboratory, and NASA.",
        "is_active": true,
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        "full_name": "Jon Qian",
        "title": "Founder/President",
        "founder_bio": "Stanford GSB Sloan Fellow.\n12+ years in leadership positions for one of the largest insurer in Asia-Pacific.\nResponsible for over $5 billion in insurance company mergers and acquisitions.",
        "is_active": true,
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        "id": 98558,
        "title": "Valgo — Risk quantification for insurance of physical AI",
        "tagline": "The risk quantification platform that insurers need to price the autonomous future.",
        "body": "_TL;DR — Valgo is the risk quantification layer for insurance of physical AI. Since historical claims data doesn’t exist for autonomy, we turn simulations into loss estimates that insurers need to price coverage._\n\n<https://youtu.be/td2uzvldFPY>\n\nInsurers face challenges pricing physical AI systems because the historical data simply doesn't exist. Your car insurance draws from over 30 billion claims records, but autonomous trucks and robots have nearly zero. Valgo is the risk quantification platform that closes that gap. We are building probabilistic models of routes, tasks, and environments from the bottom up. We output simulated loss estimates that insurers need to price coverage. **Valgo is the foundational layer that gives insurance providers confidence to properly price autonomy risk.**\n\n**Team.** Our team combines expertise in risk estimation for autonomy with deep experience in the insurance industry. [Sydney](https://www.linkedin.com/in/smkatz/) and [Robert](https://www.linkedin.com/in/robert-j-moss/) are Stanford PhDs who wrote the [textbook](https://algorithmsbook.com/validation) on validating safety-critical systems and teach the [course](https://youtube.com/playlist?list=PLoROMvodv4rOq1LMLI8U7djzDb8--xpaC&si=G0EqPyi8SMDcQO3Q) at Stanford. Robert spent 7 years at MIT Lincoln Laboratory on the core team that designed and validated an FAA-certified aircraft collision avoidance system, now a worldwide standard. [Jon](https://www.linkedin.com/in/jon-qian-82b63046/) is a Sloan Fellow from the Stanford GSB who spent over 12 years in insurance leadership and led over $5 billion in M&A as head of corporate development for one of the largest insurers in Asia-Pacific.\n\n**Our Ask.** We would love to talk with you if:\n\n* you work at a robotics and autonomy company\n* you work with insurance brokers, agents, insurers, and reinsurers\n* you know talented individuals in robotics systems, safety validation, and insurance\n\nContact us at [founders@valgo.ai](mailto:founders@valgo.ai)\n\n![uploaded image](/media/?type=post&id=98558&key=user_uploads/3135423/bf14aade-05d8-4b09-ba35-a9ec543171c3)\n\n",
        "url": "https://www.ycombinator.com/launches/Pde-valgo-risk-quantification-for-insurance-of-physical-ai",
        "votes": 17,
        "created_at": "2026-03-06T22:40:59.899Z"
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    "name": "Payna",
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    "website": "https://payna.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Payna is building the AI licensing agent for regulated companies. We automate the filings, renewals, amendments, and regulator follow ups required to get licensed and stay licensed across jurisdictions, so teams no longer have to manage compliance through spreadsheets, email threads, and expensive outside firms. Starting with financial services categories like lending, debt collection, and money transmission, Payna helps companies move faster, stay compliant, and scale without adding compliance headcount linearly.",
    "one_liner": " AI Licensing Agent for Regulated Industries",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1772054441,
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    "isHiring": true,
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    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/payna",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/payna.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/payna",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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      {
        "user_id": 2660262,
        "full_name": "Aaron Chen",
        "title": "Founder/CEO",
        "founder_bio": "Worked as a product engineer at an a16z backed DeFi startup helping scale crypto products, then went on to win ETHGlobal New York and ETHGlobal Delhi while earning recognition from Business Insider and the Ethereum Foundation. After building in crypto and seeing firsthand how painful manual licensing and compliance workflows are for regulated companies, now building Payna to automate regulatory licensing and ongoing compliance.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaron-c2024/",
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      {
        "user_id": 3168409,
        "full_name": "He Song",
        "title": "Founder/CTO",
        "founder_bio": "Founded and scaled a company at a $15M valuation as a freshman, then launched a token at $60M. Built a crypto lending product at Berkeley, spent months inside multi-state licensing workflows doing it manually. Now building Payna, automate regulatory licensing.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/he-song/",
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      {
        "id": 97487,
        "title": "Software Engineer - Full Time",
        "url": "https://www.ycombinator.com/companies/payna/jobs/ikNEbqz-software-engineer-full-time",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $180K",
        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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        "id": 98661,
        "title": "Payna: The AI Licensing and Compliance Team for Regulated Companies",
        "tagline": "Payna helps companies file lending, debt collection, insurance, MTL licenses and more across all 50 states in record time, then automates renewals and ongoing regulatory compliance so teams can focus on growth and real revenue.",
        "body": "**We are live with companies in debt collection and lending operating on tens of millions of dollars each month, compliantly.**\n\n**TL;DR:** If you are in insurance, lending, mortgage, debt collection, money transmission, digital assets, or one of the many regulated verticals that make up **trillions of dollars of economic activity,** you need licenses to operate. Payna helps companies get licensed faster, stay licensed across all 50 states, and navigate the hundreds of overlapping requirements, renewals, and filings that otherwise slow growth.\n\n<https://youtu.be/dftJNpoBPk8>\n\n**The Problem:**\n\nCompanies that touch any surface area across lending, mortgage, insurance, debt collection, money transmission, digital assets, and other regulated verticals often need licenses to operate in each state. So getting operational across all 50 states usually means **either hiring expensive paper pushing firms or manually coordinating filings across dozens of systems .**\n\nEven after filing, companies need dedicated teams or counsels to monitor different renewal schedules by state, **including annual, quarterly, monthly, odd year, and even year cycles,** while also filing ongoing amendments, reports, deficiency responses, and rule changes after approval.\n\n**The Solution:**\n\nSince going live a few weeks ago **we've already:**\n\n1. Helped a company file required debt collection licenses across multiple states in record speed, organizing forms, evidence, and regulator requirements into a structured workflow.\n2. Automatically compiled licensing checklists, renewal reports, communications, and regulatory obligations across jurisdictions, so teams know exactly what filings, renewals, and maintenance duties are coming next.\n3. Monitored regulatory updates and surfaced upcoming rule changes early, giving companies time to respond before new requirements become compliance issues.\n4. Signed six figures in annual contract, reflecting how painful licensing and compliance operations are for companies trying to launch in new states, operate securely, and protect revenue without hiring large compliance teams or relying on slow firms charging massive billable hours.\n\n**What We're Looking For:**\n\nIf you know any **Chief Compliance Officers, Heads of Compliance, General Counsel, Operations Leaders, or Founders** at companies in debt collection, lending, mortgage, insurance, money transmission, digital assets, or other regulated industries that need help getting licensed across jurisdictions and managing ongoing compliance, we would love to talk at [founders@payna.com](https://payna.com)!\n\n**The Team:**\n\nWe are from UC Berkeley, with deep experience in AI and crypto. We met in Blockchain at Berkeley, and our last venture as a crypto lending company ran directly into the licensing wall, which is why we decided to solve this problem ourselves.\n\n[Aaron](https://www.linkedin.com/in/aaron-c2024/), CEO previously worked as a product engineer at an a16z crypto backed DeFi startup and saw firsthand how licensing bottlenecks delayed launches for months.\n\n[He](https://www.linkedin.com/in/he-song/), CTO built products across early stage fintech and crypto and got tired of watching founders wait 12 months for permission to launch something they built in 12 weeks.\n\n![uploaded image](/media/?type=post&id=98661&key=user_uploads/2660262/9b6aa5c3-3020-45bd-ab0d-a17b6f7510d3)\n\n",
        "url": "https://www.ycombinator.com/launches/PfJ-payna-the-ai-licensing-and-compliance-team-for-regulated-companies",
        "votes": 21,
        "created_at": "2026-03-10T15:21:55.874Z"
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    "id": 31074,
    "name": "OneTriangle",
    "slug": "onetriangle",
    "former_names": [
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      "TrustAI Labs",
      "TrustAI"
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    "website": "https://onetriangle.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Inference has surpassed training as AI’s largest compute cost, accelerated by increasing demand for AI and agents. By using proprietary KV cache transfer tech, OneTriangle has cut inference costs by 20% and time by 40% compared to present standards.",
    "one_liner": "The cheapest, fastest inference cloud",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1783378352,
    "tags": [
      "Open Source",
      "Infrastructure",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "question_answers": [
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Hi, we’re Hannah and Medha! Three years ago, we met at MIT, and now are co-founding OneTriangle. Hannah loves scaling companies and Medha loves making ideas become real products. Together, we built OneTriangle to push the limits on latency, cost, and quality. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We believe the future of AI will be defined by intelligence and trust. AI agents will reliably carry out human intent while recognizing and refusing actions that are unsafe, unlawful, or harmful. With the rate of advancing ML systems, we will bridge this ever-increasing gap. We provide a compliance standard for all agents to follow, ensuring that humans and agents are perfectly aligned in their intentions."
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    "url": "https://www.ycombinator.com/companies/onetriangle",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/onetriangle.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trustaiinference/",
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      "url": "https://www.ycombinator.com/people/ankit-gupta"
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        "user_id": 2573695,
        "full_name": "Hannah Chung",
        "title": "Founder/CEO",
        "founder_bio": "MIT CS & Econ → @Virtu Financial →  Fastest, Cheapest Lightweight Inference @OneTriangle\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hannahchung1/",
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      {
        "user_id": 2043461,
        "full_name": "Medha Venkatapathy",
        "title": "Founder/CTO",
        "founder_bio": "Hi! I studied physics + cs at mit, and we're building the cheapest/fastest inference with KV cache transferability. In my free time, I like to bike and get lost.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/medhav/",
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    "launches": [
      {
        "id": 111487,
        "title": "OneTriangle - The fastest, cheapest inference, powered by KV cache transfer",
        "tagline": "Lightweight novel inference ",
        "body": "**TL;DR:** OneTriangle is building the cheapest, fastest inference. We cut inference prefill costs by 20% and time-to-first-token by 40%, letting you get large-model quality at small-model cost.\n\nVideo: <https://youtu.be/HKe2EZUdNHo>\n\n**Team**\n\nWe’re Hannah (CEO) and Medha (CTO), MIT CSAIL grads building with a team of 4 MIT engineers spanning ex-DeepMind and Jane Street, Physics and Astronomy Olympiad medalists, and NeurIPS/ICML authors. \n\n**The Problem**\n\nInference is expensive. \n\n• You’re forced into a bad tradeoff. You need the decoding power of large models, but you have the budget for small ones.\n\n• Prefill is the hidden tax. For long-context and agentic workloads, prefill dominates cost and latency, and everyone just eats it.\n\n**Our Solution**\n\nOneTriangle transfers the KV cache between models, something that has never been done in production. We prefill on a small model, strip the positional encoding, map the cache into the large model’s space, and restore relative importances. The result:\n\n• 20% lower prefill costs\n\n• 40% faster TTFT\n\n• Large-model quality at small-model cost\n\nWe beat out NVIDIA’s KV cache transfer paper by getting a lower KL divergence score in 2 weeks.\n\n![uploaded image](/media/?type=post&id=111487&key=user_uploads/2573695/e64727d6-a7b1-404a-bfbb-22ad2b941142)\n\n\\\nNo API changes, no quality cliff, and we’re upstreaming it into vLLM so the fastest path to cheap inference is the infrastructure you already run.\n\n**Why Now**\n\nInference has surpassed training as AI’s largest compute cost, and it’s accelerating with demand for agents that generate 10x the tokens a chat session does. Inference already eats up to 90% of total compute cost, over $600 billion is going into AI data centers this year alone. Every team pushing the frontier is bottlenecked by the same thing: serving costs.\n\n\\\n**The Future**\n\nOur bet is that model-mixing becomes the default serving pattern: small models handle prefill and routine tokens, large models handle the hard ones, and the cache moves freely between them. Whoever owns the transfer layer owns the economics of inference. We are the future of lightweight, fast inference.",
        "url": "https://www.ycombinator.com/launches/T0B-onetriangle-the-fastest-cheapest-inference-powered-by-kv-cache-transfer",
        "votes": 10,
        "created_at": "2026-08-21T02:30:02.532Z"
      }
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  },
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    "id": 31080,
    "name": "Didit",
    "slug": "didit",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/202e6cd94d0ec2c8de835c56ce6b880f99f033d5.png",
    "website": "https://didit.me/",
    "all_locations": "CT, Spain",
    "long_description": "One API for KYC, KYB, AML, biometrics, and fraud — powered by 1,000+ data sources, 200+ signals, and in-house AI models. Global coverage. Integrate in minutes, pay as you go, 500 free checks/month. Start free at business.didit.me.",
    "one_liner": "Infrastructure for identity and fraud.",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1764601102,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "Spain",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/didit",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/didit.json",
    "year_founded": 2023,
    "city": null,
    "country": "ES",
    "linkedin_url": "https://www.linkedin.com/company/diditprotocol/",
    "x_url": "https://x.com/didit",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/202e6cd94d0ec2c8de835c56ce6b880f99f033d5.png",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 3142948,
        "full_name": "Alberto Rosas",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Didit. Solving identity online. Former professional tennis player. More at rosasalberto.com.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/albertorosasg/",
        "x_url": "https://x.com/albertorosasg",
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      {
        "user_id": 3144302,
        "full_name": "Alejandro Rosas",
        "title": "Founder/CTO",
        "founder_bio": "CTO. Math, problem solver, obsessive about details and learning by building; architecting Didit’s identity infrastructure from first principles. Former professional tennis player",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alejandrorosasgarcia/",
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    "jobs": [],
    "news": [
      {
        "title": "Didit Raises $7.5M Seed, Infrastructure for Identity and Fraud",
        "url": "https://didit.me/blog/didit-7-5m-seed-infrastructure-identity-fraud/",
        "date": "May 26, 2026"
      }
    ],
    "launches": [
      {
        "id": 97452,
        "title": "Didit: the fastest way to verify real humans.",
        "tagline": "All-in-one identity platform built for speed and fraud prevention.",
        "body": "We’re Alberto and Alejandro Rosas, identical twins and co-founders of Didit. We’ve spent our lives impersonating each other. That used to be rare. Today, **AI has your photos and your voice.** Soon it will call your grandma, and she won’t know. The internet needs a fast, reliable way to prove who you are. **That’s why we built Didit.**\n\n## **TL;DR**: We made identity verification finally work on the internet.\n\n<https://www.youtube.com/watch?v=KU9Jf79J8XE>\n\n## What you need to believe …\n\nThe internet is about to get weird.\n\n* AI can already copy your **voice**, your **face**, and your **videos**. Perfect fakes are basically here.\n* Bots are about to flood everything — social media, marketplaces, apps, support chats, even phone calls.\n* Very soon, you won’t trust what you see or hear online.\n* When trust breaks, **identity becomes mandatory**. For logins, payments, access, everything.\n* This market is going to 1000x.\n\n## The problem (we’re not ready)\n\nThe scary part? Our current identity systems already suck.\n\n* They’re **slow**, **insecure**, and **expensive.** Built for a pre-AI internet.\n* You’ve felt it: verifications that take days, uploading the same document twice, random rejections.\n* Real users get stuck. Attackers get through.\n* Companies end up stitching together 5–10 vendors just to run identity. Engineers hard-code rules. Ops can’t move fast.\n\nWe don’t need more tools. We need a **new identity platform** — fast, secure, global, and simple.\n\n**Didit is that platform.**\n\n## The solution\n\n<https://www.youtube.com/watch?v=eTdcg7JCc4M>\n\nWe built Didit by doing the opposite of everyone else. We didn’t stitch together vendors or wrap legacy systems — we built everything **from scratch**: ID verification, biometrics, liveness, auth... Then we put it all together into **one all-in-one platform**. We obsessed over UI and UX, optimized every millisecond, and designed flows where real humans verify in seconds while fraud gets blocked by default. Onboarding rates go up, friction goes down, and teams finally get a complete, connected view of each user.\n\nBecause we own the entire stack, we can do something most identity companies can’t: offer **simple pay-per-use pricing at very competitive rates**. No contracts, no minimums, no surprises. Companies that switch to Didit usually switch once — and they don’t churn. Once you go Didit… you don’t go back 😄\n\n## Traction\n\n* **Millions of humans verified every month**\n* **700+ active B2B customers**, growing **\\~20% MoM**\n* **Pure PLG** so far, now layering outbound\n* **300%+ NRR by month 6**\n* **\\~90% paid customer retention** at month 6\n\nDidit clearly works.\n\nNow we’re executing the expansion into **mid-market and enterprise**.\n\n## Didit path to trillion dollar company\n\nEven if we’re Spanish, we don’t really do “**_siestas”_**. We do **relentless execution** — and we’re very good at it.\n\nWe believe identity will become one of the most important pieces of infrastructure of the AI internet. As soon as you can’t trust what you see or hear online, proving who you are becomes non-negotiable. We envision a world **where identity is frictionless and instant** — one click, face-first — and works everywhere: logging into apps, authorizing payments, accessing services online and in the physical world. Your **Didit Identity** becomes something you carry with you, **reusable, private, and trusted by default**. Long term, we even see governments running secure digital services and online democracies on top of Didit. This is a massive shift and we’re going to lead it.\n\n## Ask\n\nIf you’re verifying users or fighting bots, fake accounts, or multi-account abuse — **reach out**. We’ll help you onboard **faster, reduce fraud, and lower costs.**\n\nKnow a company dealing with identity verification / kyc ..etc? Every intro comes with an **amazing Spanish paella** 🥘 as a gift.",
        "url": "https://www.ycombinator.com/launches/PLo-didit-the-fastest-way-to-verify-real-humans",
        "votes": 35,
        "created_at": "2026-02-03T17:38:00.478Z"
      }
    ]
  },
  {
    "id": 31082,
    "name": "Quotient Labs",
    "slug": "quotient-labs",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67e517c455ab1e170ed6b2628a4dce9546f07490.png",
    "website": "https://quotientlabs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "You should only be paying frontier model prices for top-shelf reasoning. But 88% of your token bill is just tool I/O.\r\n Quotient Labs runs on top of Claude Code to reduce token spend, compress context, and optimize tool calls while preserving output quality. Same models, same workflow, no changes to how you work. Benchmarked 47% less cost on real, multi-step developer workflows, with no quality loss.",
    "one_liner": "Use Claude Code at 47% less cost in one line of installation.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1772518250,
    "tags": [
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      "SaaS",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/quotient-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/quotient-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/quotientlabs",
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      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
      {
        "user_id": 3146534,
        "full_name": "Saahil Sundaresan",
        "title": "Founder",
        "founder_bio": "Making coding agents cheaper @ Quotient Labs | Stanford CS & Linguistics | formerly at Apple, Amazon\n\nFeel free to reach out for anything! saahil@quotientlabs.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/saahil-sundaresan/",
        "x_url": "https://x.com/imsaahilsangye",
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      {
        "user_id": 3141216,
        "full_name": "Andrew Kuik",
        "title": "Founder",
        "founder_bio": "Making coding agents cheaper @ Quotient Labs. Stanford CS; previously at AWS, Accenture\n\nFeel free to reach out for anything!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andrew-kuik-109749238/",
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    "launches": [
      {
        "id": 114944,
        "title": "Quotient Labs: Stop overpaying Claude for tokens you don't need",
        "tagline": "We cut your Claude Code costs by 47% in one line of install. Same models, same workflow, half the price.",
        "body": "**TLDR**: **Tokenmaxxing is out. Tokenminning is in.** Quotient Labs sits on top of Claude Code and reduces the amount of context you pay for—without changing your models, prompts, projects, or workflow. Across real, multi-step developer workflows, we’ve benchmarked **47% lower token cost with no measured quality loss.** Get started today at <https://www.quotientlabs.com/>.\n\n**The Problem**\n\nCoding agents accumulate a lot of context.\n\nEvery file read, search result, test run, tool output, generated plan, and conversation turn gets added to the session. As the session grows, this history is repeatedly re-read (and re-billed) long after it has stopped being useful in its original form. The result? **You’re overpaying Claude for tokens your agent never needed.**\n\n**Fermat’s Last Token** (our main product) sits on top of Claude Code and optimizes what enters and remains in your model’s context. We do this in four ways:\n\n1. **Faster, more cost-efficient agent tools** that batch operations and return compact, information-dense results.\n2. **Bash output compression** that preserves the useless parts of long command and test outputs while removing the bloat.\n3. **Live text compression** that removes the information-sparse and irrelevant tokens in conversation turns before they ever compound in cost. \n4. **Idle context optimization** that compresses older conversation history as the prompt cache expires (this is more often than you think; only 5 minutes TTL) while preserving the freshest context verbatim.\n\nThe important part: **you keep using Claude Code exactly as you do today.**\n\n**Observability**: See real-time estimated cost and savings down to the session and request level, as well as manage your organizations and users, in the user dashboard: <https://console.quotientlabs.com/>. \n\n**Ready to go in 30 seconds.** Install Fermat, sign in, and continue using Claude Code normally:\n\n**curl -fsSL [https://downloads.quotientlabs.com/fermat/install.sh](https://downloads.quotientlabs.com/fermat/install.sh) | bash &amp;&amp; fermat login**\n\n**Fermat is compatible with both CLI and the VS Code extension.** Your existing projects, prompts, models, integrations, and interface are untouched.\n\nYou can bypass Fermat (if you really want) on a particular chat any time with _claude --vanilla._ You can also fully uninstall in one line with _fermat uninstall_ (though we don’t recommend either :)).\n\n**Our ask**\n\nWe’re looking for devs and engineering teams who use Claude Code heavily, especially on long-running, tool-intensive engineering tasks. \n\nWe’d love to get feedback on where Fermat helps the most, where compression could be better, and any features or changes you’d like to see.\n\nGet started: <https://quotientlabs.com/>\n\nOr message us directly: [founders@quotientlabs.com](mailto:founders@quotientlabs.com)\n\n**Founders**\n\nBefore Quotient Labs, we’ve been at Stanford (BS+MS CS/AI), industry (Apple, AWS, Accenture) and in academia (with multiple publications).\n\n![uploaded image](/media/?type=post&id=114944&key=user_uploads/3146534/39cb7ad4-595a-428f-aa75-7a0570a93673)\n\n",
        "url": "https://www.ycombinator.com/launches/Ttw-quotient-labs-stop-overpaying-claude-for-tokens-you-don-t-need",
        "votes": 9,
        "created_at": "2026-09-14T15:33:54.262Z"
      }
    ]
  },
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    "id": 31084,
    "name": "Klaus AI",
    "slug": "klaus-ai",
    "former_names": [
      "Bits"
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    "website": "https://klausai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Get your personal OpenClaw instance on the cloud and connected to your Slack or other messaging app in 3 minutes. Pre-installed security features and common skills. ",
    "one_liner": "Fast and Safe OpenClaw on the cloud",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1770051535,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Inactive",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/klaus-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/klaus-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/110927082/admin/dashboard/",
    "x_url": "https://x.com/usebits_inc",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 3169998,
        "full_name": "Robbie Thompson",
        "title": "Founder/CEO",
        "founder_bio": "Working on personal agents. Formerly: Quant at Jane Street, FDE at Console, MCS at Stanford. Hobbies: barefoot running, foraging for wild food, meditation. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/robert-thompson-133469175/",
        "x_url": "https://x.com/rob0the0nerd",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e83258d776b7d3b9cbfa66c191bf93ee27822b10.jpg"
      },
      {
        "user_id": 316197,
        "full_name": "Bailey Wickham",
        "title": "Founder",
        "founder_bio": "Bailey Wickham\n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/baileywickham",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d336ca5351b2589dc238aeb9cf4827ecc47e2bbe.jpg"
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    ],
    "jobs": [],
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    "launches": [
      {
        "id": 97608,
        "title": "Klaus: Get Your OpenClaw Personal Assistant in 5 minutes",
        "tagline": "OpenClaw hosted on a VM with security and privacy built in",
        "body": "**Klaus is an OpenClaw instance on the cloud, set up in 3 minutes, with Slack, Telegram, Anthropic/OpenAI/Gemini, a browser, malware protection, Molthub, Moltbook, and its own email address pre-configured.**\n\nOpenClaw has gone viral because it is the most powerful AI tool on the web. It has: \n\n* Won an exception for someone to [stay overnight in the ICU with their father](https://www.moltbook.com/post/c4a170b7-aaf0-4112-9317-8129fa61a391) during a medical emergency by finding and cold-emailing 15 administrators.  \n* Created a new [social media](https://www.moltbook.com/) site that reached a million users in three days. \n* [Negotiated for a new car](https://aaronstuyvenberg.com/posts/clawd-bought-a-car) end-to-end, getting 10% off MSRP by playing two dealers against each other.\n\n \n\nBut that leaves most people to choose between FOMO and spending hours setting up a new tool, only to get hacked anyway. \n\n**Klaus** is an opinionated, batteries-included distribution of OpenClaw:\n\n* Klaus runs in the cloud with no access to any personal data by default.\n* Setup takes minutes. You don’t have to create API keys, run commands, or build apps.\n* Integrations are preconfigured with smart permissions to keep your data safe.\n* Available 24/7 in the cloud, from laptop or mobile, on your messenger of choice.\n\n<https://www.youtube.com/watch?v=cKuxW84u6Lc> \n\n**The OpenClaw hype is real:**\n\n* OpenClaw does it all: manages your inbox and calendar, helps you shop, completes forms and paperwork, writes code, etc. \n* You never have to fiddle with settings or repeat yourself, because OpenClaw remembers and learns on its own.\n* Klaus talks to you with joy and whimsy.\n\n**… but so are the risks**\n\n* Hundreds of skills contain malware.\n* Set up incorrectly, your entire internet presence is exposed.\n\nKlaus is the solution: it’s an OpenClaw instance so robust that even your parents will use it safely, so easy to set up that they’ll do it on their own. **Go to [usebits.com](http://usebits.com) to talk to Klaus today.** \n\nThe team: Bailey and Robbie met building AI Agents at Console. Previously we worked at Amazon and Jane Street. You can reach us at [founders@usebits.com](mailto:founders@usebits.com).",
        "url": "https://www.ycombinator.com/launches/POK-klaus-get-your-openclaw-personal-assistant-in-5-minutes",
        "votes": 17,
        "created_at": "2026-02-07T00:54:04.829Z"
      }
    ]
  },
  {
    "id": 31087,
    "name": "Lucent",
    "slug": "lucent",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b309a5cff7d85c233aaac20ea8209b1c0736a6e.png",
    "website": "https://lucenthq.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lucent is an AI product manager that automatically improves products based on how users behave. We use AI to watch and understand user sessions and detect bugs and UX issues. ",
    "one_liner": "AI that automatically improves products from user behavior",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1770303004,
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    "top_company": false,
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    "nonprofit": false,
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    "regions": [
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/lucent",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/lucent.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lucenthq",
    "x_url": "https://x.com/lucent_ai",
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    "cb_url": "https://www.crunchbase.com/organization/lucent-c1cd",
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      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 916437,
        "full_name": "Alisa Rae",
        "title": "Founder/CEO",
        "founder_bio": "Previously founded and sold an Australian EdTech company, was employee #2 at MagicBrief (acquired by Canva), and was an Engineer at Atlassian.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wualisa/",
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    "news": [
      {
        "title": "Aged 22 and working solo, Alisa Rae just raised $2m for her startup",
        "url": "https://womensagenda.com.au/business/entrepreneurs/aged-22-and-working-solo-alisa-wu-just-raised-2-million-for-her-next-startup/",
        "date": "Oct 12, 2025"
      },
      {
        "title": "Me, myself and AI — Capital Brief",
        "url": "https://www.capitalbrief.com/newsletter/me-myself-and-ai-b613bd61-83a9-44df-bf57-2576234c89ed/",
        "date": "Oct 09, 2025"
      },
      {
        "title": "Six ANZ startups that raised $211.1 million this week",
        "url": "https://www.smartcompany.com.au/startupsmart/australian-startup-funding-raises-october-2025-heidi-health-octopus-deploy-nexl-opensolar/",
        "date": "Oct 09, 2025"
      },
      {
        "title": "‘ChatGPT is my CTO’: How solo founder Alisa Rae raised $2m in just 36 hours — Capital Brief",
        "url": "https://www.capitalbrief.com/article/chatgpt-is-my-cco-how-solo-founder-alisa-wu-raised-2m-in-just-36-hours-46c96cf1-685a-4d8a-82d2-9ab868a2c38a/",
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      {
        "title": "Tech in Asia - Connecting Asia's startup ecosystem",
        "url": "https://www.techinasia.com/news/australian-ai-firm-lucent-raises-1-3m-in-oversubscribed-pre-seed",
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    "launches": [
      {
        "id": 98694,
        "title": "Lucent - AI that automatically watches your session replays",
        "tagline": "An AI that watches your session replays 24/7 to detect bugs and UX issues - delivering alerts in real time.",
        "body": "**The problem:** \n\n* You are collecting a lot of session replays but no one has time to watch them \n* Users are silently hitting bugs in your product, and most of them don’t report bugs, they just churn\n\n**The solution:** \n\nLucent is an AI that watches your session replays 24/7, and automatically detects issues your users are running into in real time\n\n**How it works:** \n\n1. Connect your PostHog account\n2. AI watches session replays 24/7\n3. Bugs get sent to your Slack or Linear as users encounter them\n\n<https://youtu.be/kLmr7yfY9kQ>\n\n**Founder story:**\n\n![uploaded image](/media/?type=post&id=98694&key=user_uploads/916437/3592a505-9aa1-44a1-bcbd-3717b201d587)\n\nMy name is Alisa. I previously bootstrapped and sold an Australian EdTech startup, and before then I was employee #2 at MagicBrief (acq. by Canva). I’ve always been obsessed with session replays, they’re incredibly valuable. But the data just goes to waste because no one has time to watch them. I’ve wanted something like Lucent to exist for a long time, and I’m grateful to have the opportunity to finally build this 🫶\n\n**How to get started:**\n\nIf you’d like to try it out, you can get 400 sessions processed for free and see what issues your users are coming across - most teams find issues in the first hour they didn't know existed. We’re already used by 30+ YC companies, including Reducto (W24), Julius (S22), Finta (W23), and Happenstance (W24). \n\nSign up link: [lucenthq.com](http://lucenthq.com) \n\nFor any questions, feel free to email [alisa@lucenthq.com](mailto:alisa@lucenthq.com) ",
        "url": "https://www.ycombinator.com/launches/Pfq-lucent-ai-that-automatically-watches-your-session-replays",
        "votes": 13,
        "created_at": "2026-03-11T15:38:52.026Z"
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    "id": 31088,
    "name": "RunAnywhere",
    "slug": "runanywhere",
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    "website": "https://www.runanywhere.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "RunAnywhere runs open-weight models at full speed wherever a company needs them. Wally is our inference stack for open models: serverless inference, BYOC, or on-prem, so code and data never leave their network. One command puts a Wally-served model inside Claude Code, DeepSeek Harness, OpenCode, Hermes, OpenClaw, etc. When a model fits on the device, the same tooling runs it locally through our open-source SDKs for iOS, Android, macOS, Windows, Linux, and web, built on kernels written by our agentic harness for Apple and Qualcomm silicon (10K+ GitHub stars).",
    "one_liner": "Fastest inference anywhere: open models on-prem, hosted or on-device",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1767296079,
    "tags": [
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      "Open Source",
      "Infrastructure",
      "AI"
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/runanywhere",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/runanywhere.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/runanywhere/",
    "x_url": "https://x.com/RunAnywhereAI",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 725397,
        "full_name": "Sanchit Monga",
        "title": "Founder/CEO",
        "founder_bio": "Former Intuit engineer building RunAnywhere, the infrastructure layer for deploying fast, private, multimodal AI on-device at scale.\n\nDeep background in mobile SDKs, platform tooling, and developer products, including systems used by 50M+ active users. Previously founded products across consumer discovery, context management, agentic documentation, and mobile testing, and now focused on making on-device AI production-ready across mobile, edge, and embedded devices.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sanchitmonga22/",
        "x_url": "https://x.com/sanchitmonga22",
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      },
      {
        "user_id": 2862507,
        "full_name": "Shubham Malhotra",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of RunAnywhere (W26). Built MetalRT: the first complete multi-modal inference engine for Apple Silicon. Custom Metal GPU kernels that pushed on-device voice AI from 900ms to ~110ms. Ex-Amazon EC2 Spot ($100M+ ARR), Ex-Microsoft Azure. Peer-reviewed researcher.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shubham-malhotra-fg890a23a/",
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    "jobs": [
      {
        "id": 98717,
        "title": "Developer Relations & Technical Content Intern",
        "url": "https://www.ycombinator.com/companies/runanywhere/jobs/ZJD016N-developer-relations-technical-content-intern",
        "location": "Remote",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$750 - $1.5K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": [
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    ],
    "news": [
      {
        "title": "MetalRT brings the first unified AI inference engine to Apple Silicon",
        "url": "https://www.msn.com/en-us/news/other/metalrt-brings-the-first-unified-ai-inference-engine-to-apple-silicon/ar-AA1YLTt1",
        "date": "Mar 17, 2026"
      },
      {
        "title": "RunAnywhere Is Building the Infrastructure Layer for On-Device AI at Scale ",
        "url": "https://techbullion.com/runanywhere-is-building-the-infrastructure-layer-for-on-device-ai-at-scale/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "Regulated Industries Are Rewriting Their AI Architecture",
        "url": "https://nexttechtoday.com/tech/ai/regulated-industries-are-rewriting-their-ai-architecture/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "From Cloud Dependence to Instant AI: The Rise of On-Device Voice Agents - New York Weekly",
        "url": "https://nyweekly.com/tech/from-cloud-dependence-to-instant-ai-the-rise-of-on-device-voice-agents/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "Why the Next Wave of AI Will Run on Your Phone - CEOWORLD magazine",
        "url": "https://ceoworld.biz/2026/03/06/why-the-next-wave-of-ai-will-run-on-your-phone/",
        "date": "Mar 06, 2026"
      }
    ],
    "launches": [
      {
        "id": 117440,
        "title": "Wally by RunAnywhere: The fastest inference for open frontier models",
        "tagline": "Open-weight frontier models at real-time speed for voice and agent products, live on day one. Serverless, BYOC or on-prem.",
        "body": "Hi, we're Sanchit and Shubham, co-founders of RunAnywhere (W26), and we're launching Wally: our inference stack for open frontier models, hosted on our GPUs or deployed on yours.\n\n<https://youtu.be/m_T2Diow3_M>\n\n**TL;DR:** Wally serves GLM-5.3 Flash at 380 tokens per second with a 274 ms first token, faster than any endpoint on Artificial Analysis (Sep 28, 2026). New models land on day zero: Xiaomi's MiMo-V2.6-Pro was ready to serve about 8 hours after its weights dropped, and runs at 3x the speed of Xiaomi's own API (Artificial Analysis, Sep 21, 2026). The same stack deploys on-prem/BYOC at the same speed. [Sign up](https://runwally.com) and get $5 in free credits.\n\n## The problem\n\nFrontier models are slow and expensive, and you feel it most in products that run a model in a loop. A voice agent has a few hundred milliseconds before a turn feels broken. A coding agent waits for the first token on every tool call, dozens of times per task.\n\n## How Wally works\n\nWally is our inference stack for open frontier models: our own kernels, speculative decoding, and prefill kept off the decode path so a long prompt never stalls someone else's stream. We tune it per model and per traffic pattern. It runs in two places.\n\n**Hosted by us.** An OpenAI-compatible endpoint on our own GPUs, so anything that takes a base URL and a key works unchanged. Standard per-token pricing. Live today:\n\n* **GLM-5.3 Flash:** 380 tok/s\n* **DeepSeek V4.1 Flash:** 615 tok/s\n* **Qwen3.8-27B:** 485 tok/s\n* **MiMo-V2.6-Pro:** 320 tok/s\n* **GLM-5.3 Max:** 790 tok/s\n\n**Deployed for you.** The same stack on GPUs you own, in your cloud account, or on a dedicated instance we run. Same speed, your own models and fine-tunes, your traffic stays in your environment, and at token-heavy volumes it costs less than paying per token.\n\n## New models on day zero\n\nMiMo-V2.6-Pro, the top open-weights model on Artificial Analysis (Sep 21, 2026), was ready and running 3x faster than anyone else in 8 hours after Xiaomi published the weights.\n\n## The numbers\n\nArtificial Analysis lists 19 providers serving the same GLM-5.3 Flash weights (Sep 24, 2026), and Wally is 8.6x faster than Z.ai. Same model; the only difference is how it's served. Ours: 380 tok/s and a 274 ms first token, measured the same way.\n\n![uploaded image](/media/?type=post&id=117440&key=user_uploads/725397/e68127c0-8f31-4fe8-bbe2-44f587f09e67)\n\n## Beyond the benchmark\n\nBenchmarks don't always match reality, so we ran a real prompt on four providers, three times: GLM-5.3 Flash in the same OpenCode harness on Wally, Nebius, Fireworks and Z.ai, all building a game at once.\n\n<https://youtu.be/yc-KVBwuWC0>\n\n![uploaded image](/media/?type=post&id=117440&key=user_uploads/725397/eaf90b9c-3be5-405a-9177-cca618fe81ea)\n\nThe same model reasons more or less on the same prompt from run to run, on every provider, so finish times look close even when the work isn't. Tokens per second of wall clock is the stable number: Wally 213, Nebius 149, Fireworks 68, Z.ai 47, averaged across the runs.\n\n## Get started\n\nPaste this into your coding agent:\n\n```\nset up https://runanywhere.ai/SKILL.md\n```\n\nWorks with Claude Code, Claude Desktop and OpenCode. $5 free on signup, no card. Standard per-token pricing after that.\n\n## Why we built it\n\nWe spent nine months making open models fast on phones and laptops, with our own inference engines for Apple and Qualcomm chips ([runanywhere-sdks](https://github.com/RunanywhereAI/runanywhere-sdks?utm_source=launchyc&utm_medium=post&utm_campaign=wally-launch), 10K+ GitHub stars). Our users kept needing models too big for the device, and nobody served open frontier models fast enough for a real-time loop. None of our work was specific to phones, so we pointed it at data-center GPUs.\n\n## Our ask\n\n* **If you run a voice or agent product and latency or the inference bill hurts,** email [founders@runanywhere.ai](mailto:founders@runanywhere.ai) and we'll make it faster.\n* **If a customer has asked you for on-prem,** intro us. We deploy on their GPUs.\n* **Try it** and tell us what broke: [runwally.com](https://www.runwally.com/)\n\n[Docs](https://docs.runanywhere.ai/?utm_source=launchyc&utm_medium=post&utm_campaign=wally-launch) · [X @RunAnywhereAI](https://x.com/RunAnywhereAI)",
        "url": "https://www.ycombinator.com/launches/UYC-wally-by-runanywhere-the-fastest-inference-for-open-frontier-models",
        "votes": 12,
        "created_at": "2026-09-29T18:59:15.687Z"
      },
      {
        "id": 97041,
        "title": "RunAnywhere: The default way to run On-Device AI at scale",
        "tagline": "One SDK + Control Plane to Deploy, Route, Update, and Observe On-Device AI – Offline-First, Hybrid-Smart, Fleet-Managed",
        "body": "We're [Sanchit](https://www.linkedin.com/in/sanchitmonga22/) and [Shubham](https://www.linkedin.com/in/shubham-malhotra-fg890a23a/), co-founders of [RunAnywhere](https://runanywhere.ai/) (W26).\n\n**TL;DR:** Run Multi-modal AI fully on-device with one SDK and manage model rollouts + policies from a control plane.\n\nWe are already live and open source with [**\\~10.1k stars on GitHub**](https://github.com/RunanywhereAI/runanywhere-sdks).\n\n<https://youtu.be/N3x2bs4ri68>\n\n![uploaded image](/media/?type=post&id=97041&key=user_uploads/725397/86d47939-7caf-4e0f-8575-045ca2fd22bc)\n\n### The Problem\n\nEdge AI is inevitable — users want instant responses, full privacy (health, finance, personal data), and AI that actually works on planes, subways, or spotty rural connections.\n\nBut shipping it today is brutal:\n\n* Every device (iPhone 14 vs Android flagship vs low-end) has wildly different memory, thermal limits, and accelerators.\n* Teams waste quarters rebuilding model download/resume/unzip/versioning, lifecycle (load/unload without crashing), multi-engine wrappers (llama.cpp, ONNX, etc.), and cross-platform bindings\n* No real observability — you're blind to fallback rates, per-device perf, crashes tied to model version\n\n**Result:** most teams either give up on local AI or ship a brittle, hacked-together experience.\n\n### The Solution: Complete AI Infrastructure\n\nRunAnywhere isn't just a wrapper around a model. It is a full-stack infrastructure layer for on-device intelligence.\n\n**1. The \"Boring\" Stuff is Built-in** We provide a unified API that handles model delivery (downloading with resume support), extraction, and storage management. You don't need to build a file server client inside your app.\n\n**2. Multi-Engine & Cross-Platform** We abstract away the inference backend. Whether it's llama.cpp or ONNX etc, you use one standard SDK.\n\n* iOS (Swift)\n* Android (Kotlin)\n* React Native\n* Flutter\n\n**3. Hybrid Routing (The Control Plane)** We believe the future isn't \"Local Only\"—it's **Hybrid**. RunAnywhere allows you to define policies: try to run the request locally for zero latency/privacy; if the device is too hot, too old, or the confidence is low, automatically route the request to the cloud.\n\n![Voice AI Pipeline Demo](/media/?type=post&id=97041&key=user_uploads/725397/dfe1b180-e5d8-4c59-a4e8-2109d9f903f2)\n\n### Quick Links\n\n* **OSS SDKs:** [github.com/RunanywhereAI/runanywhere-sdks](https://github.com/RunanywhereAI/runanywhere-sdks) (star if it vibes!)\n* **Full Docs:** [docs.runanywhere.ai](https://docs.runanywhere.ai)\n* **Website:** [runanywhere.ai](https://runanywhere.ai)\n\n**Try our demo apps:**\n\n* [Android](https://play.google.com/store/apps/details?id=com.runanywhere.runanywhereai)\n* [iOS](https://apps.apple.com/us/app/runanywhere/id6756506307)\n\n### Our Ask\n\nWe're in full execution mode post-launch and hunting design partners + early feedback:\n\n* Building voice AI, offline agents, privacy-sensitive features (health/enterprise/consumer), or hybrid chat in your mobile/edge app?\n* Want to eliminate cloud inference costs for repetitive queries while keeping complex ones fast?\n* Have a fleet where OTA model updates + observability would save you engineering months?\n\n**Get in touch:**\n\n* Drop us a line: [san@runanywhere.ai](mailto:sanchit@runanywhere.ai)\n* Book a quick call: [calendly.com/sanchitmonga22](https://calendly.com/sanchitmonga22)\n* Or just tell us what sucks about your current on-device AI stack — honest war stories help us prioritize.\n\nExcited to hear what you're building and how we can make on-device AI actually shippable at scale.",
        "url": "https://www.ycombinator.com/launches/PFB-runanywhere-the-default-way-to-run-on-device-ai-at-scale",
        "votes": 25,
        "created_at": "2026-01-22T01:27:45.855Z"
      }
    ]
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    "id": 31089,
    "name": "Lance",
    "slug": "lance",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/500f8974cf64740c19c12e8fa5b25e0284652488.png",
    "website": "https://www.lance.live",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Autonomous AI agents that answer calls, close sales, and run operations, so your team can focus on guests. Trusted by some of the top hotel groups in the US, supporting 50+ hotels across brands like Marriott, Hilton, and Hyatt\r\n\r\nBuilt on advanced Computer Use Agent technology, Lance agents can navigate your existing hotel software, make real-time decisions, and handle complex multi-step tasks.",
    "one_liner": "AI Agents That Run Hotel Operations.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1768895498,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/lance",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/lance.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trylance/",
    "x_url": "https://x.com/TryLance",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/500f8974cf64740c19c12e8fa5b25e0284652488.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 3149989,
        "full_name": "Caleb Chan",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Lance. Former Head of Product and Founding Engineer at Silicon Valley Commerce (9‑figure exit). Previously product roles at Google and Salesforce, building industry-leading voice and AI agent technology.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/caleb-chan-327b14239/",
        "x_url": "https://x.com/calebychan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b61487074e22d4fca84b70c446b633f36d32bcc8.jpg"
      },
      {
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        "full_name": "Gavin Brennen",
        "title": "Founder",
        "founder_bio": "COO of Lance. Previous work on AI agents at Domo, with earlier Product & customer facing roles at SmartSuite (Series A) and Zeus.",
        "is_active": true,
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        "full_name": "Gatik Trivedi",
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        "id": 97533,
        "title": "Lance - Your Hotel's Best Employees",
        "tagline": "guests got places to be",
        "body": "### **TL;DR**\n\n\\*\\*Lance builds autonomous AI agents that answer calls, close sales, and run operations.\\*\\*\\\nWe’re working with some of the leading hotel groups in the US operating across major hotel brands.\n\n## <https://youtu.be/4lfd34piGiE>\n\n### **The Problem**\n\nHotels still run on phone calls for everything.\n\nGuests call for towels, late checkout, maintenance, parking, and directions. Each call kicks off a manual workflow: someone answers, gathers details, routes the task, tracks it down, and follows up.\n\nThat model breaks when teams are lean. With **65% of hotels reporting staffing shortages**, simple requests require too many people and too many handoffs.\n\nThe result is constant interruptions, slow fulfillment, missed revenue, and burned-out staff. During busy periods or after hours, hotels miss **up to 40% of incoming calls**, not because demand is too high, but because the operation doesn’t scale.\n\n## **Our Solution**\n\n**Receptionist AI Agent:** (Call, SMS, Email, Hotel Messaging Platforms) answers guests 24/7 and completes requests end-to-end\n\n* answers questions instantly and handles service requests\n* gathers the right details, routes work to the right team, escalates when needed\n* supports multiple languages so every guest gets help fast\n* takes action through **vision based computer-use agents** when workflows require navigating through older systems like on-prem PMS or CRS\n\n**Sales AI Agent:** (Call, SMS, Email) turns every inbound inquiry into a qualified revenue opportunity, so your sales team only talks to guests who are ready to book.\n\n* responds to inbound sales inquiries and RFPs automatically\n* qualifies leads and gathers booking or event details\n* follows up instantly so hotels never lose deals to slow response\n* drafts pricing, availability, and sales responses using hotel data\n* unibox keeps a full record across email and messaging\n\n**Lance Pad:** a tablet-first operations hub where service teams coordinate work and stay connected in real time across the property.\n\n* replaces walkie talkies with real-time team communication across the property\n* track open guest requests and service tasks live in one shared system\n* manage escalations and see resolution outcomes instantly\n* stays synced with Lance from request → action → completion\n\n## **Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know any **hotel owners / operators** whose teams are stretched thin and juggling multiple systems for basic guest requests?\n* Do you know any **management groups (multi-property)** that want more consistent guest ops?\n\nReach us at [**founders@lance.live**](mailto:founders@lance.live) or schedule a demo today at[ ](http://atlance.live)[**lance.live**](http://lance.live)\n\n![uploaded image](/media/?type=post&id=97533&key=user_uploads/3149989/d1260b85-dc13-4e25-bcc1-dc54d7623fdd)\n\n",
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        "created_at": "2026-02-05T18:03:20.011Z"
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    "long_description": "Lexius turns existing security cameras into an AI security guard that detects, documents, and alerts incidents like shoplifting and slip-and-falls.\r\n\r\nMillions of locations already have cameras but no intelligence. Replacing them costs $50K to $100K per site. Lexius upgrades every camera instantly, no rip and replace, no new hardware.\r\n\r\nReal-world camera systems are messy, fragmented, and decades old, and AI breaks on low-quality CCTV. The hard part isn’t the model, it’s making unreliable systems work at scale with accuracy high enough for real decisions.\r\n\r\nLexius starts with security and liability, and becomes the operating system for physical spaces.",
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        "full_name": "Liam Webster",
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        "title": "Lexius — 🚨 AI for any Security Camera",
        "tagline": "We make any old security camera intelligent",
        "body": "**Hi! 👋** We’re [David](https://www.linkedin.com/in/davidelskamp) and [Liam](https://www.linkedin.com/in/liamwebsterxyz) - co-founders of [Lexius](https://www.lexius.ai/).\n\n## TL;DR\n\nLexius turns existing security cameras into AI security guards that **detect theft, prevent liability, and turns months of video into searchable answers.** Trusted by 7-Eleven, Erewhon and Prada.\n\n**_Ask_:** Do you have/work with a lot of **security cameras** or know someone who does? Email [david@lexius.ai](mailto:david@lexius.ai).\n\n<https://youtu.be/lBq4dXcfb0k>\n\n## **❌** The Problem\n\nBuildings with security cameras generate **thousands of hours of footage**, but:\n\n* No one has time to review it\n* Investigations take days of scrubbing video\n* Critical moments get missed\n* Legacy systems are hard to access and impossible to scale\n\n_Security cameras generate video. They don’t generate answers._\n\n## 🎥 Our Solution\n\nLexius runs on top of **any existing camera** system and gives them **superpowers**:\n\n* **Access**: Instantly view live or recorded footage from anywhere.\n\n![uploaded image](/media/?type=post&id=98246&key=user_uploads/1856621/08a8927c-63df-49c5-bb65-e9288028a1eb)\n\n* **AI Alerts**: Receive real time alerts for shoplifting, fall incidents or anything you’d like. Sent right to your phone.\n\n![uploaded image](/media/?type=post&id=98246&key=user_uploads/1856621/2c748d8f-91e3-422b-9d32-3570f8ad85dd)\n\n* **Search and Trace**: Instantly search across months of footage across all your sites and follow a person across multiple cameras and visits in seconds.\n\n![uploaded image](/media/?type=post&id=98246&key=user_uploads/1856621/60b9cf00-9014-4f54-9211-e8269edb89e3)\n\n* **Repeat Offenders:** Automatically identify, track, and alert on individuals who return across multiple visits, helping teams build stronger cases and prevent problems.\n* **Case Building**: Automatically stitch events together and generate clean, ready to use case files with evidence.\n\n_Setup takes minutes, not weeks._\n\n## Who It’s For\n\n**Warehouses / Manufacturing / Hotels / Offices / Campuses / Casinos / Law enforcement / Retail / Malls**\n\n_If you have cameras, Lexius can unlock more value from them._\n\n## Erewhon loves our product and uses it across their stores!\n\n<https://youtu.be/KGi-CWVp0dc>\n\n[_www.lexius.ai_](https://www.lexius.ai/)",
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        "votes": 48,
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        "full_name": "Neil Bhammar",
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        "title": "ShortKit – The SDK for Short Form Video Feeds",
        "tagline": "We help every app roll their own TikTok-quality video feed.",
        "body": "**tl;dr** ShortKit lets consumer teams and publishers ship best-in-class vertical video feeds _(playback, infra, monetization, rec systems, content networks, and more)_ without needing their own video eng orgs. [Michael Seleman](https://linkedin.com/in/michael-seleman-541509122) spent years at YouTube building the infrastructure behind Shorts. Now, we're packaging that for everyone else.\n\n**Short-form video is eating the world**\n\nVertical video is the most retentive format on the internet (with the highest ad spend), but it's captive on the three major platforms. The best publishers and consumer companies want to participate (see [Glassdoor](https://techcrunch.com/2024/10/09/glassdoor-takes-a-leaf-out-of-linkedins-book-launches-short-videos-polls-and-images/), [DoorDash](https://techcrunch.com/2025/09/30/doordash-rolls-out-creator-program-for-short-form-videos-adds-new-app-features-and-dine-in-rewards/), and [CNN](https://www.theverge.com/news/816638/cnn-app-shorts-feed-videos-launch)’s recent feed launches). Companies are desperate to own first-party data, engage their users more deeply, and drive ad revenue within their own experiences.\n\n**But it's still really hard at scale**\n\nTeams today either spend millions to ship quality short-form feeds, roll out poor-quality ones that fail to retain, or don't ship them at all because they don't know where to start. It's a massive missed opportunity for consumer companies, and an existential one for companies built on attention, like news-media.\n\n**So we're making it really easy**\n\nShortKit is a drop-in short-form video system. Product teams get:\n\n* **Managed SDKs** that deliver best-in-class short-form feeds. We've obsessed over the mechanics that make these competitive with the major platforms - ML driven buffer management, feed aware player mechanics, buttery-smooth tactiles, and much more.\n* **Video infrastructure** they never have to think about. Powering global video distribution that always works, optimized specifically for short-form content.\n* **Monetization** like native ads & first party data collection.\n* **Rec systems** with baseline configurations and ML-driven feed ranking algos.\n* **Admin tools** and APIs to manage feeds, integrate your CMS/database, and view analytics.\n\n**Our ask:**\n\nIf you know product or growth leaders at:\n\n* Media companies - NYT, ESPN, TMZ, Condé Nast, etc.\n* Consumer companies - TripAdvisor, Ticketmaster, Zillow, Yelp, etc.\n\nWe'd love to talk to them. You can reach out at [neil@shortkit.dev](mailto:neil@shortkit.dev) or book time with us at [shortkit.dev](http://shortkit.dev).\n\n<https://youtu.be/_W2qBGRnBaM>",
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        "full_name": "Alex Rivero",
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        "id": 97401,
        "title": "REV1 - Automating engineering drawings for Mechanical Engineers",
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        "body": "**TL;DR:** REV1 turns 3D CAD models into manufacturing-ready 2D drawings in minutes instead of hours.\n\n[**https://youtu.be/rlGxyHiPOW4**](https://youtu.be/rlGxyHiPOW4)\n\n**The Problem:**\n\nEvery manufactured part – whether it's for aerospace, robotics, medical devices, or consumer electronics – needs a 2D engineering drawing that defines the manufacturing specs to ensure the part functions as designed. Mechanical engineers spend **over 25% of their time** creating these drawings manually. It's tedious, error-prone, and unavoidable. It's also deeply technical – the standard that governs tolerancing is **over 300 pages of rules**.\n\nThe real cost isn't just time – it's innovation. Engineers should be designing the next iteration and solving hard problems, not manually specifying tolerances.\n\n**Our Solution:**\n\nREV1 automates drawing creation. Start with a 3D CAD file, specify your design intent, and we generate a fully annotated drawing with proper GD&T. Review and edit in our native interface before sending to manufacturers. All that while staying synced with your source files in your PLM system.\n\n**Communicate your design intent in 3D:**\n\n![uploaded image](/media/?type=post&id=97401&key=user_uploads/2150068/bd8b20b4-1f27-48fa-8c11-9d4c803c4a63)\n\n**Drawing generation in minutes instead of hours:**\n\n![uploaded image](/media/?type=post&id=97401&key=user_uploads/2150068/d425df48-2074-4e7e-a29f-8515dd864f62)\n\n**Who are we**\n\n* **Alex** – Mechanical engineer who shipped products at scale at Tesla and Apple (worked on Cybertruck, Robotaxi and iPhone 17 lineup). Lived this problem for years.\n* **Louis** – Software engineer; solo built Tesla's global Supercharger & Robotaxi planning platform. Studied mechanical engineering in school; published ML researcher\n\n**Who it's for**\n\nMechanical engineering teams at hardware companies – especially those designing parts that need detailed manufacturing specs. Think robotics, aerospace, automotive, medical devices, and consumer electronics.\n\n**Our ask**\n\n* Intros to mechanical engineering leads or hardware founders who feel this pain\n* If you're an ME, we'd love your feedback on the product\n* Spread the word to anyone building physical products",
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        "full_name": "Andrew Reiter",
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        "full_name": "Vishnu Tejus",
        "title": "Founder/CTO",
        "founder_bio": "I am a 2x YC Founder. Previously, I built AI for go-to-market teams as the 2nd hire and founding engineer at Nooks. Then, I forward deployed myself in research labs at the University of Washington, UCSF, and Stanford, where I was mentored by world-renowned scientists in analytical chemistry and cancer research. In < 1 year, I published 2 papers and won 4 national awards. Now, I'm building ultrafast AI models for drug discovery teams to characterize proteins and pharmaceutical candidates.",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/10x-science/jobs/FK8wuOk-founding-engineer",
        "location": "San Francisco, CA, US / Menlo Park, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "AI is spitting out more potential drugs than ever. This startup wants to figure out which ones matter. | TechCrunch",
        "url": "https://techcrunch.com/2026/04/22/ai-is-spitting-out-more-potential-drugs-than-ever-this-start-up-wants-to-figure-out-which-ones-matter/",
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      {
        "id": 97760,
        "title": "10x Science: Unlocking the future of drug development 🔑🧬",
        "tagline": "The AI-native platform for next-generation protein characterization",
        "body": "Hi Everyone 👋:\n\nWe're [**David**](http://www.linkedin.com/in/davidstephenroberts), [**Andrew**](https://www.linkedin.com/in/andrew-hawthorn-reiter/), and [**Vishnu**](https://www.linkedin.com/in/vishnutejus/), co-founders of [**10x Science**](https://10xscience.com/). We’re a team of researchers from Stanford on a mission to make drug development 10x faster.\n\n**TL;DR:** We are building _the_ AI-native solution to unlock fast, accurate, and scalable therapeutics characterization to accelerate drug development.\n\n[10x Science Launch Video](https://www.youtube.com/watch?v=WaQSdNSc1KM)\n\n❌ **The** **Problem**\n\nProtein-based drugs now make up a majority of new therapies and advances in AI are flooding the drug discovery pipeline with more candidates than ever. But **the bottleneck isn't candidate design, it’s candidate characterization to identify the best drug for clinical trials**. \n\nEvery antibody, every cell therapy, every engineered protein requires characterization at a level of molecular detail that existing tools simply weren't designed to handle. Today, that process is: \n\n* **Slow**: Weeks to months per candidate spent on time-consuming data analysis and report generation that limit how fast new therapies can reach patients \n* **Expensive**: On average, it costs $1M+ for each day of delay in a clinical trial. Every day a biologic is delayed from entering the market is a missed opportunity to generate revenue and to save lives\n* **Not scalable**: Labs are throwing thousands of therapeutics through the discovery pipeline, but processing the data requires individuals to perform expert analysis leading to reproducibility challenges and a specialized, manual bottleneck\n\nThe result: candidates pile up, timelines slip, and the promise of AI-powered discovery gets stuck. \n\n💡**Our Solution**\n\n**10x Science** is the unlock **🔑**\n\nWhat if you could go from raw data to output-ready characterization reports in minutes? That’s what we’re building: **AI-native infrastructure for protein characterization**:\n\n* **Reduce analysis time from weeks to minutes**: our platform automates the data crunching that currently bottlenecks development → yielding $150,000+ time savings per team / month\n* **Get reproducible, enterprise-ready results** without requiring extensive expertise and slow manual curation. This frees scientists to focus on the important stuff: discovery, not number crunching\n* **Scale your pipeline**: process more candidates exponentially without linearly scaling your team\n\nNow, therapeutics development can keep pace with AI-powered drug discovery.\n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/9b62279d-80f7-4f58-a80c-86665a72b6d7)\n\n**📜 Backstory**\n\nWe've lived this problem.\n\nAs Stanford researchers building frontier tools at the intersection of chemistry, biology, and machine learning, we constantly hit the protein characterization throughput wall. We and every other scientist we’ve spoken with all feel the same pain: protein characterization is slow, manual, and just hard to do at scale. Today’s scientists are drowning in data. A single sample can generate gigabytes of data, yet extracting insights from it is painstakingly slow without the right tools.\n\nIf we don’t modernize protein analysis, then drug development grinds to a halt. **This is why we started 10x Science**.\n\n🔬 **Our Team**\n\nWe are the only team in the world with deep expertise in proteomics, mass spectrometry, chemical biology, and artificial intelligence to tackle this problem. We’re researchers from Stanford with 18+ years of hands-on experience characterizing biologics and building new technologies and methodologies at the cutting edge. \n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/a384189a-2f27-4969-8d8f-156305c9ce8d)\n\nDavid (CEO, middle): Damon Runyon Cancer Research Foundation Fellow; Stanford Postdoc from Carolyn Bertozzi’s Lab (2022 Nobel Prize in Chemistry); early career leader in field of mass spectrometry-based proteomics with 37+ peer-reviewed publications\n\nAndrew (COO, right): Trained in Steven Carr’s Proteomics Platform Lab at the Broad Institute of MIT and Harvard, where he developed new methods in mass spectrometry. Later became a Ph.D. student and NSF-GRFP fellow at Stanford University, where he was co-advised by Dr. Carolyn Bertozzi and Dr. Or Gozani.\n\nVishnu (CTO, left): 2x YC founder. Built AI for go-to-market teams as the 2nd hire and founding engineer at Nooks. Forward deployed himself in research labs at the University of Washington, UCSF, and Stanford, where he was mentored by world-renowned scientists in analytical chemistry and cancer research. In &lt; 1 year, he published 2 papers and won 4 national awards. \n\n**We are uniquely positioned** with the technical expertise and insights required to solve this major challenge.\n\n 🌐 **The Big Picture**\n\nWe are automating the whole data analysis pipeline to enable scientists to focus on discovery: this is the \"why\" rather than the \"how\" of data processing. Every major therapeutic breakthrough of the last decade has depended on understanding proteins at the molecular level. And yet, the tools we use to analyze them haven't fundamentally changed in over twenty years. 10x Science is taking a totally new approach to usher in an AI-forward paradigm in protein characterization and drug development. \n\n 🙏 **Our Ask**\n\nWe're onboarding customers. If you answer \"yes\" to any of these, we'd love to chat:\n\n**Know a pharma/biotech team** working on biologics characterization?\n\n**Know an academic lab or core facility** doing protein analysis?\n\n**Know a contract research organization (CRO)** looking to scale analytical capabilities?\n\n**Resonate with our mission?** → Share this post!\n\n —_David_, _Andrew_, _Vishnu_ ([**10x Science**](https://10xscience.com/))\n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/4a578736-2de7-43de-b605-0152e507bf2b)\n\n",
        "url": "https://www.ycombinator.com/launches/PQm-10x-science-unlocking-the-future-of-drug-development",
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        "created_at": "2026-02-12T17:47:40.380Z"
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        "full_name": "Neel Sharma",
        "title": "Founder/CEO",
        "founder_bio": "Neel is the founder of Sentrial - production monitoring for AI products. \n\nHe studied Computer Science at UC Berkeley and worked on agentic optimization at Sense. He saw firsthand that traditional evaluation frameworks break down once agents hit production. That insight led to the creation of Sentrial, a platform built to monitor, evaluate, and improve agent performance in real-world, production environments.\n\ncontact: neel@sentrial.com",
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      {
        "id": 97540,
        "title": "Sentrial: Production Monitoring for AI Agent Behavior",
        "tagline": "Sentrial helps engineering teams detect, diagnose, and fix AI agent issues in production.",
        "body": "Hi all! [Neel](http://linkedin.com/in/neelshar) and [Anay](https://www.linkedin.com/in/anayrshukla/) here - we’re building **Sentrial**, production monitoring for AI agent behavior.\n\n**TL;DR:** [Sentrial](https://sentrial.com) semantically detects when agents loop, hallucinate, misuse tools, or frustrate users in production, then helps engineering teams diagnose the root cause and fix it fast.\n\n[Sentrial Launch Video](https://www.youtube.com/watch?v=fiRRBG9NIE4)\n\n## The problem\n\nAI agents are becoming core infrastructure - handling customer support, automating workflows, and making decisions on behalf of users. But when something goes wrong, teams are flying blind. Traditional monitoring catches errors and latency, not failures like hallucinations or user frustration. No alert fires when an agent goes off the rails, and agents that were meant to scale operations end up requiring constant oversight.\n\n## What Sentrial does\n\nSentrial gives engineering teams real-time visibility into how their agents actually behave in production. We automatically detect failure patterns: loops, hallucinations, tool misuse, and user frustrations the moment they happen. When issues surface, Sentrial diagnoses the root cause by analyzing conversation patterns, model outputs, and tool interactions, then recommends specific fixes.\n\n## Ask\n\nIf your internal or customer-facing agents are looping, hallucinating, or frustrating users in production and it’s hard to diagnose, we’d love to talk. Email [neel@sentrial.com](mailto:neel@sentrial.com) or book a call [here](https://cal.com/neel-sharma) to learn more!\n\n## Team\n\n**Neel:** CS @ UC Berkeley, worked on Agentic Optimization at Sense.\\\n**Anay:** CS @ UC Berkeley, deployed DevOps agents at Accenture.\n\n![uploaded image](/media/?type=post&id=97540&key=user_uploads/3199067/0481c129-5b98-4e2b-91bf-42b10678ffac)\n\n",
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    "long_description": "LegalOS is an AI-native immigration law firm that combines cutting-edge technology with 40+ years of legal expertise.\r\n\r\nWe’ve studied 12,000 successful petitions to design our process - which allows us to deliver top-quality visa applications in as quickly as 48 hours. Our specialized AI agents draft petition narratives, compile evidence, and anticipate USCIS objections - work that traditionally takes attorneys weeks, if not months.\r\n\r\nEvery case is reviewed and signed by licensed immigration attorneys with 40+ years of experience, so companies get both speed and reliability. We support O-1, H-1B, L-1A, L-1B, TN, EB-1A, EB-1C, and EB-2 NIW petitions.\r\n\r\nOur unique approach works. We’ve filed dozens of visa applications and have a 100% approval rate so far.\r\n\r\nThe U.S. processes 1M+ work visas annually—a market where incumbents still operate on fax machines, email, and 1990s case management software. We're building the modern immigration law firm.",
    "one_liner": "The AI-Native Immigration Law Firm",
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        "full_name": "Matthew Asir",
        "title": "Founder/CEO",
        "founder_bio": "Matthew is the co-founder and CEO of LegalOS. He previously founded the immigration SaaS Legal Bullet (Forbes 30 Under 30), and studied Astrophysics at the University of Chicago. Like his sister Rachel (COO), he grew up working in his family’s U.S. immigration law firm and now leads product and AI at LegalOS, turning 40+ years of immigration case data into automated, high-approval work-visa petitions.",
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        "full_name": "Rachel Asir",
        "title": "Founder/COO",
        "founder_bio": "Rachel is the co-founder and COO of LegalOS. She double majored in Economics & Media Studies at the University of Chicago and previously managed 20+ A-list client deals at United Talent Agency, driving over $10M in tour revenue. She co-founded a charity that raised $70K for youth programs and grew up around her family’s U.S. immigration law firm. At LegalOS she owns operations and customer experience for companies and candidates using the platform.",
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        "full_name": "Claire Jutabha",
        "title": "Founder/CTO",
        "founder_bio": "Claire is the co-founder and CTO of LegalOS. At LegalOS she leads engineering and AI, building the agents that power automated work-visa petitions.\n\nShe has an MS and BS in Computer Science from USC. She previously shipped LLM safety pipelines at TikTok that flag thousands of high-risk accounts daily, built document-classification models at Notarize and worked at NASA JPL on the Mars Exploration team.",
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    "launches": [
      {
        "id": 97014,
        "title": "LegalOS - AI-Native Immigration Law Firm",
        "tagline": "Get top-quality visa petitions in 48 hours, not months. We pair AI with 40 years of immigration expertise.",
        "body": "Hey everyone! 👋\n\nWe’re [Matthew](https://www.linkedin.com/in/matthew-asir), [Rachel](https://www.linkedin.com/in/rachelasir/), and [Claire](https://www.linkedin.com/in/clairejutabha/) – the founding team behind [LegalOS](https://legalos.ai?utm_source=yc&utm_medium=social&utm_campaign=launch&utm_content=yc_launch).\n\n### **TL;DR**\n\nWhat if your immigration case moved as fast as you do?\n\nWe're an AI-native immigration law firm that combines AI with 40+ years of legal expertise. We’ve studied 12,000 successful petitions to design our process - which allows us to deliver top-quality visa applications in as quickly as 48 hours. \n\nOur unique approach works. We’ve filed dozens of visa applications and have a 100% approval rate so far.\n\n**_Ask:_** If you are an international founder or a manager dealing with immigration? Email [help@legalos.ai](mailto:help@legalos.ai) or[ book a call with us](https://cal.com/rachelasir/legalos-consultation).\n\n<https://www.youtube.com/watch?v=KkhN4KHBXCU>\n\n### **❌ The Problem**\n\nImmigration law is broken - especially for startups\n\n1. **Slow** - Traditional law firms take 6–8 weeks just to prepare a petition - burning runway and blocking hires\n2. **Expensive** - Lawyers charge $10k-35k per visa, pricing out early-stage companies\n3. **Black Box** - Founders & managers often have zero visibility into case progress until it's too late\n4. **Unpredictable** - Inconsistent quality means RFEs, delays, and denials\n5. **High Stakes -** A single denial can force a founder to leave the country or lose a critical engineer\n\nStartups trying to make a critical hire simply can’t afford the cost, time, and uncertainty of traditional immigration firms.\n\n### **✨ Our Solution**\n\nLegalOS is a full service, AI-native immigration law firm. Our specialized AI agents that have been optimized on 12,000 winning petitions. _So far we have a 100% success rate._\n\n**What we handle:**\n\n* **O-1A/O-1B** (Extraordinary Ability)\n* **EB-1A** (Alien of Extraordinary Ability)\n* **EB-2 NIW** (National Interest Waiver)\n* **EB-1C** (Multinational Managers)\n* **H-1B, L-1A/B, TN** visas\n\n![uploaded image](/media/?type=post&id=97014&key=user_uploads/2312887/0509d08d-fb8a-47c7-84c5-eae38ffb980e)\n\n**How it works:**\n\n1. **Intake**: Upload your docs, answer a few questions, and we have get your petition started in minutes\n2. **AI-Powered Drafting**: Our agents build your petition using patterns from 12,000 successful cases\n3. **Attorney Review**: An immigration attorney with 40+ years of experience reviews every filing\n\n**Rapid Delivery**: You get a complete, filing-ready petition in as little as 48 hours - not weeks or months later\n\n### **👫 The Team**\n\nRachel (COO) and Matthew (CEO) grew up in their family’s 40-year immigration law firm. We've watched thousands of cases, seen what makes petitions win or fail, and built LegalOS on that foundation.\n\nClaire (CTO) brings the engineering talent – ex-TikTok, Notarize, and NASA JPL – and built the 24 specialized AI agents that power our platform.\n\n![uploaded image](/media/?type=post&id=97014&key=user_uploads/2312887/de9ef20d-b89c-4055-883c-f990382faa37)\n\n\n### 🙏 **Our Ask**\n\n* **Need a visa?** Book a free consultation[ here](https://cal.com/rachelasir/legalos-consultation)\n* **Know a founder dealing with immigration?** Forward this post or intro us\n* **Hiring internationally?** We can help your team—email [help@legalos.ai](mailto:help@legalos.ai)",
        "url": "https://www.ycombinator.com/launches/PEk-legalos-ai-native-immigration-law-firm",
        "votes": 19,
        "created_at": "2026-01-21T15:34:25.781Z"
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    "id": 31102,
    "name": "Fuchsia",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Fuchsia handles hardware certification and testing so great products can get to markets faster. AI agents keep our work accurate, timely, and fully traceable for every stakeholder.",
    "one_liner": "Vanta for hardware",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1773017725,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "name": "Tyler Bosmeny",
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        "full_name": "Tony Gao",
        "title": "Founder/CEO",
        "founder_bio": "Simplifying hardware safety & compliance | Math + Physics @ Yale",
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        "linkedin_url": "https://www.linkedin.com/in/tony-gao5/",
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      {
        "id": 101724,
        "title": "Fuchsia | Vanta for hardware",
        "tagline": "Hardware compliance done on your timeline",
        "body": "**TL;DR**: We’re an AI-native service that takes hardware products from design → testing → market, without the traditional compliance drag in between. We cover a wide range of testing &amp; documentation across RF &amp; EMC, environmental, shock &amp; vibe, functional safety, electrical, machinery and more through our internal experts and partner labs. No inflated billed-hours, fully handled and traceable. Book a call here: <https://cal.com/tony-gao-fuchsia/20min>\n\n**The problem:** Hardware teams waste time chasing consultants and lawyers just to end up with the same issues. We've seen founders and engineers slowed down by response times, get “overtested” by labs, and billed by contractors for inflated hours. \n\nRegulatory compliance blocks deals, burns money, and can kill a product after all your hard engineering work.\n\n**How we help:** Give us your product specs and target markets. We’ll work through thousands of pages of standards and case studies to surface every requirement, risk, and gap for your product, e.g. radiated emissions limits, IP ratings, MTBF targets, drop and vibration profiles. Our AI agents find gaps and maintain traceability to speed up the process and cut what takes traditional consultants the longest.\n\nWe draft all your technical files and test plans, then handle conversations with testing labs directly. You won't be scheduling calls, translating requirements, or on long email chains, just check our dashboard for the stage your product is at and focus on what you do best (and want to do).\n\n**Why:** Regulatory compliance favors big companies. They have the capital for huge compliance teams and the relationships to fast-track certification. Startups push out way more innovative products by volume, but the system makes it hard for them to actually get to market. \n\nWe’re trying to disrupt this system so that the best products can have the best distribution. \n\n**Ask:** If you're building robots, medical devices, or IoT, book a call and we'll map your fastest path to _certified_: <https://cal.com/tony-gao-fuchsia/20min>\n\n<https://youtu.be/epMVQDNfy-4>",
        "url": "https://www.ycombinator.com/launches/QSi-fuchsia-vanta-for-hardware",
        "votes": 8,
        "created_at": "2026-05-21T17:58:04.997Z"
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      {
        "id": 98657,
        "title": "Noetic - Vanta for hardware",
        "tagline": "Automating compliance workflows to get hardware to markets 10x faster",
        "body": "Building hardware is hard enough. Having to think about compliance too is just overkill. Noetic streamlines the entire certification and testing process using AI agents, making it **significantly faster and cheaper** than legacy consultants.\n\n<https://youtu.be/vbFukT9hQkc>\n\n**The Problem**\n\n* Hardware compliance is scattered, complicated, and opaque\n* Teams spend months and tens of thousands of dollars before ever even testing\n* Critical information is scattered across thousands of pages of regulations and standards\n* Mistakes lead to months in delays, expensive re-testing, and lost deals\n\n**The Solution**\n\n* Give us your product specs and target markets\n* Our AI agents analyze thousands of pages of standards and case studies specific to your product\n* We compile the necessary technical files and test plans, industry professionals review and sign off\n* Your product is sent to the right NRTL/accredited testing lab in our network\n* Track progress through a dashboard instead of having to get hands-on\n* Within weeks, you have a certified product and the documentation needed for customers and regulators to approve deployment. And all you had to do was send some documents\n\n**The Team**\n\nWe are a team of Yale dropouts with backgrounds in frontier robotics from perception research to humanoid deployments, with experience in big tech, AI startups, and quant trading firms. \n\n**If you or someone you know is building hardware, we'd love to show you exactly what your path to certification looks like and how we can handle it faster than any consultant you’ll ever talk to. FCC, FAA, ISO, IEC, ANSI, UL, ASTM, MIL-STD, the list goes on.**\n\nLearn more at [getnoetic.ai](http://getnoetic.ai) and reach out at [founders@getnoetic.ai](mailto:founders@getnoetic.ai)",
        "url": "https://www.ycombinator.com/launches/PfF-noetic-vanta-for-hardware",
        "votes": 26,
        "created_at": "2026-03-10T18:19:57.848Z"
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    "id": 31104,
    "name": "Cofia",
    "slug": "cofia",
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    "website": "https://cofia.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Cofia learns how your team runs internal operations and automates the highest-ROI workflows, automatically.",
    "one_liner": "AI automations that implement themselves",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1772226189,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/cofia",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/cofia.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cofia-ai/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 2917976,
        "full_name": "Moses Wayne",
        "title": "Founder",
        "founder_bio": "Cofia co-founder. Previously Engineering Director at Duolingo, leading Monetization to >$1B in revenue annually. Studied Computer Science & Economics at Duke.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/moses-wayne-860309128/",
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        "user_id": 2324002,
        "full_name": "Paola Martinez",
        "title": "Founder",
        "founder_bio": "Cofia co-founder. Formerly Senior Product Manager and led retention at Brilliant.org. Stanford CS undergrad and MS&E MS concurrently. 2019 Mayfield Fellows Program. Former Schmidt Futures Impact Fellow. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/paomartcard/",
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        "id": 98440,
        "title": "Cofia: AI automations that write themselves",
        "tagline": "No more prompting or workflow builders.",
        "body": "**TLDR:** Cofia learns how you work and proactively automates your repetitive tasks. No more prompting or workflow builders.\n\n<https://www.youtube.com/watch?v=6pgSb0ZxMhI>\n\n🧑🏻‍💻👩🏻‍💻 **Founders**\n\nWe're Pao and Moses. We've spent years in high-growth tech companies -- Pao running retention at Brilliant, Moses leading monetization at Duolingo.\n\n❌ **The problem**\n\nWe kept seeing the same pattern: smart people are still doing manual tasks.\n\nEveryone talks about AI saving time, but the reality? Most AI tools require you to:\n\n* Recognize the opportunities for automation\n* Describe your exact workflow in a prompt\n* Learn new interfaces and configure new tools\n\nSo despite having \"AI assistants,\" people are still spending hours on repetitive work that could be automated… if only custom AI tools could build themselves.\n\n✅ **The solution:**\n\nTraditional AI waits for you to describe what you need. Cofia proactively builds personalized automations, trained on _your_ exact workflows, by securely processing the work you actually do.\n\nNo prompts. No remembering to turn it on. No describing what you do.\n\nHow it works:\n\n* Cofia learns about the specific repetitive tasks you do\n* When it recognizes a pattern, it builds a custom agent and then offers it to you\n* You review, launch it, and never do that task manually again\n\nSample tasks we’ll detect:\n\n* Building prospect lists\n* Outreach, follow-ups, scheduling\n* Maintaining recruiting pipelines\n* Creating data reports\n\n❓**Is this magic?**\n\nWe hope it feels that way! Under the hood, we’re listening to system events and anonymized network traffic. This gets mined for repeatable patterns of activity, which serves as the framework for the automations we spin up. No need to screen record like traditional RPA task mining, and you can see what we’re processing at any time.\n\n🚀 **Ready to try it?**\n\nSign up at: <https://www.cofia.ai/>",
        "url": "https://www.ycombinator.com/launches/Pbk-cofia-ai-automations-that-write-themselves",
        "votes": 267,
        "created_at": "2026-03-05T00:39:49.876Z"
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    "id": 31107,
    "name": "BaseFrame",
    "slug": "baseframe",
    "former_names": [
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      "Clam",
      "Clam (formerly Baseframe)",
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    "website": "https://baseframe.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Most teams want to plug in AI but don't know where to get started. BaseFrame's desktop app finds exactly what to automate for each employee using the historic data on their computer. \r\n\r\nInstead of relying on screen recording or generic AI demos, we use the existing history of how work gets done across email, docs, Slack, calendar, browser, and files to identify the highest-value automations. We use local models so that your sensitive data doesn’t have to leave your system. \r\n\r\nOnce you find a set of automations, send them off to your automation tool of choice and share them with your team so that everyone can get productivity boosts. \r\n",
    "one_liner": "Detect what AI can automate for your team",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1768518655,
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    "nonprofit": false,
    "batch": "Winter 2026",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/baseframe",
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    "year_founded": 2025,
    "city": "San Francisco",
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      "name": "Gustaf Alstromer",
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    "founders": [
      {
        "user_id": 588419,
        "full_name": "Anshul Paul",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of BaseFrame (W26). Previously founding at HappyRobot, where I worked on omni-channel AI communication, AI evals, and enterprise system integrations. Helped grow company to 100+ in size and Seed to Series B. Majored in EECS and Business at UC Berkeley M.E.T.",
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      {
        "id": 97815,
        "title": "Clam: Semantic Firewall meets OpenClaw",
        "tagline": "Enterprise-grade security for broad-access AI Agents like OpenClaw",
        "body": "Hey everyone! We’re Anshul and Vaibhav from [Clam](https://tryclam.com/).\n\nIf you’ve heard about OpenClaw, you’ve also heard about the security risks and the data leaks that have already happened. Whether you’re an enterprise or an individual, you’re rightfully worried to give it access to all your accounts and data.\n\nWe’re putting our past experiences together to solve that.\n\n<https://www.youtube.com/watch?v=k9pmLp8dz0A>\n\n**A bit about us:**\n\nAnshul led AI evals and observability at HappyRobot (Series B YC company), and Vaibhav worked on scaling virtual agents at Augment Code (Series B AI code company). Fun fact, we were also partners during our Computer Security course at Berkeley a few years ago.\n\n**What we’re building:**\n\nClam brings enterprise-grade security through their “Semantic Firewall”, a security checkpoint that sits around the AI's environment at the network level.\n\nOur system runs a series of scans on anything your AI sends out into the world and everything that comes in to catch inconsistencies before they turn into problems.\n\nEach message is scanned for personal info leaks (SSNs, credit cards, private keys), prompt injection attempts (jailbreaks, instruction overrides), and malicious code (reverse shells, encoded execution).\n\nTo keep your data even safer, API keys and secrets are injected at the network level so the AI never sees or stores your credentials.\n\nDeploy and set up broad-access AI agents built on security with Clam.\n\n**Our Ask:**\n\n* We’d love to talk to folks who’ve already set up their OpenClaw or haven’t yet due to the security issues. [Please reach out!](https://cal.com/anshul-paul-7z6xyu/clam-chat)\n* Please check us out at [TryClam.com](https://tryclam.com/) to get onboarded with integrations smoothly. We’re continually improving the system so any feedback is super appreciated!",
        "url": "https://www.ycombinator.com/launches/PRf-clam-semantic-firewall-meets-openclaw",
        "votes": 84,
        "created_at": "2026-02-14T03:04:57.897Z"
      },
      {
        "id": 96857,
        "title": "BaseFrame: Bring confidence and clarity to your hardware designs",
        "tagline": "AI agents that catch risks and tradeoffs early during hardware project scoping",
        "body": "**TL;DR:** BaseFrame helps hardware teams build more efficiently by identifying design gaps, data-driven tradeoffs, and component availability issues _before_ the first board is spun, catching fatal mistakes while they are still cheap to fix.\n\n<https://youtu.be/ZgsWj-y5hQY>\n\nHey All! We’re Anshul and Vaibhav from BaseFrame. \n\n**Why:**\n\nWe want to speed-up hardware teams so that they can build the cool innovations they are trying to bring to life with fewer bottlenecks\n\nThe current hardware workflow is a broken sequence of handoffs: you finalize a design and send it to procurement, only to discover weeks later that there was an oversight or a critical component has a massive lead time. \n\n### **How It Works**\n\n* **Project Scoping**: Specialized AI agents ask you questions to scope out the project and uncover gaps, drilling down with follow up questions if needed or handing off to the next agent when sufficient. It provides suggestions and recommendations for each question, making sure we have thought about everything early on. \n* **Validations:** Once the questions are answered, we consolidate them into a document and run parallel agents to once again find issues, contradictions, or areas of improvement. \n* **BOM Generation:** Our AI splits the scope into a block diagram and generates a Bill of Materials (BOM) for each by parsing diagrams and tables from datasheets, getting price and lead time data from top vendors, and internal vendor communications. \n* **Versioning & Parallel Agents:** You can branch designs and use parallel agents to simulate multiple architectures simultaneously, revealing quantitative tradeoffs in cost, price, and lead times\n\n**About us:**\n\nWe met during our first week of college and became roommates at Berkeley \n\nAnshul was the founding engineer at HappyRobot and worked on the core omni-channel AI communications features, AI observability and evals, and white glove integrations for enterprise customers.   \n\nVaibhav was a Sutter Hill Venture fellow. He worked on the data ingestion infrastructure at Sigma Computing and worked on remote agent orchestration and containerization for Augment Code.\n\n**We’d love to get in touch!**\n\nEmail: [team@baseframe.co](mailto:team@baseframe.co)\n\nWebsite: <https://baseframe.co>\n\n![uploaded image](/media/?type=post&id=96857&key=user_uploads/588419/c3f91612-45f8-4a25-a794-a160e9f80bb9)\n\n",
        "url": "https://www.ycombinator.com/launches/PCD-baseframe-bring-confidence-and-clarity-to-your-hardware-designs",
        "votes": 13,
        "created_at": "2026-01-16T19:26:41.079Z"
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    "id": 31111,
    "name": "Envariant",
    "slug": "envariant",
    "former_names": [
      "Facture"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/abf1430afe9764675d165ce0908d003bf6893b19.png",
    "website": "https://envariant.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Envariant is an AI interpretability and reasoning SDK enabling foundation model builders to analyze, steer, and control their model's behaviors.",
    "one_liner": "Interpretability and reasoning infra for foundation models.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
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        "answer": "Foundation models have proven powerful but volatile: they hallucinate, drift, and produce brittle outputs that block scientific and engineering workflows. The standard fixes are expensive, slow, and often destabilizing. They don't scale to the settings that matter most: multi-property, multi-scale tasks like generating new materials or optimizing genetic medicines, where verification itself is difficult, ambiguous, or costly. Teams end up trapped in \"guess and check\" loops — iterating on data and retraining instead of reasoning directly about model behavior. Persistent failure modes go undetected and creative opportunities inside models go unexploited."
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    "url": "https://www.ycombinator.com/companies/envariant",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/envariant.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/envariant/",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 972303,
        "full_name": "Varun Agarwal",
        "title": "Founder/CEO",
        "founder_bio": "Working on interpretability infrastructure for foundation models! My background is in AI and bioengineering research at places like Stanford, MIT, Inceptive, and NASA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/varun-agarwal1/",
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      {
        "id": 98301,
        "title": "Envariant – The control layer for foundation models",
        "tagline": "AI interpretability SDK to analyze, steer, and control model behavior",
        "body": "**The Problem**\\\nFoundation models are powerful but volatile. They hallucinate, drift, and produce brittle outputs that block scientific and engineering workflows.\\\n\\\nThe standard fixes are expensive, slow, and often destabilizing. They don't scale to the settings that matter most: multi-property, multi-scale tasks like generating new materials or optimizing genetic medicines, where verification itself is difficult, ambiguous, or costly.\\\n\\\nTeams end up trapped in \"guess and check\" loops — iterating on data and retraining instead of reasoning directly about model behavior. Persistent failure modes go undetected, and creative opportunities inside models go unexploited.\\\n\\\n**What Envariant Does**\\\nEnvariant moves verification upstream — from the lab directly into the model's latent space. Our SDK exposes a compact set of primitives so you can specify a property and then reliably observe and control it:\n\n* **Detect**, measure, & causally trace properties and behaviors (hallucinations, safety, style, invariants)\n* **Reason** inductively, generalize, and steer behavior programmatically\n* **Extract** human-readable domain principles the model has learned\n* **Synthesize** targeted edge cases to rapidly improve capabilities\n\nNo bespoke engineering, heavy orchestration, or massive dataset requirements.\\\n\\\n**Results**\n\n![uploaded image](/media/?type=post&id=98301&key=user_uploads/972303/286868f9-7ff7-43de-95f6-ac0c3675e02e)\n\nWe started with failure mode detection: using one underlying primitive, we’ve reached SOTA performance in hallucination detection in text LLMs, real-time degradation detection in robotic VLAs, and antibody-binding prediction. We’re releasing a [beta of this for testing](https://huggingface.co/spaces/var764/envrnt-failure-detection) on March 3rd!\n\n**What’s Next**\n\nWe’ll be scaling up our failure mode detection, expanding this to general property detection and measurement, and releasing experiments & SOTA results across inductive reasoning, steering, and principle extraction this week. Long term, we want to remove the bottlenecks to progress by turning mechanistic understanding into actionable capabilities — enabling teams to reliably control behavior and accelerate discovery.\n\n**Our Ask**\\\nWe'd love intros to:\n\n**ML teams in deep tech and safety-critical verticals** — bio, materials science, physics simulation, robotics, autonomous systems, formal reasoning.\n\n**Teams building foundational AI** or sovereign/private-model deployments.\n\nReach out at [**founders@envariant.ai**](mailto:founders@envariant.ai) or visit [**envariant.ai**](http://envariant.ai). ",
        "url": "https://www.ycombinator.com/launches/PZV-envariant-the-control-layer-for-foundation-models",
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        "created_at": "2026-03-01T02:08:21.563Z"
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    "id": 31112,
    "name": "Burt",
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    "website": "https://www.burthq.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building for the people that keep the world moving. \r\n\r\nFreight brokers and forwarders operate on razor-thin margins in a relationship-driven business — yet most of their teams spend the majority of their day on manual, repetitive work.\r\n\r\nWe help freight brokers and forwarders build AI teammates that handle their repetitive, manual tasks so teams have time to focus on customers, carriers, and growing the business.",
    "one_liner": "AI teammates for logistics",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1766971540,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/burt",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/train-burt",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
      {
        "user_id": 1212113,
        "full_name": "Bobby Zhong",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Burt\n\nStudied CS at UCI before dropping to join Pirros (YC W23) as their 2nd engineer. Then joined Replo (YC S21) to build coding agents and wrangle LLMs.\n\nGrew up in a logistics family and now trying to help in the space.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bobby-zhong",
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      {
        "user_id": 1342955,
        "full_name": "Kurt Sharma",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Burt\n\nStudied EECS at UC Berkeley. Previously @ Replo (YC S21) building high-throughput data pipelines and sandboxed code manipulation systems.\n\nNow building AI teammates in logistics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kartavya-sharma",
        "x_url": "https://x.com/zerodaykurt",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d595d5de2c6336d499109dbc763e04aa1d1a7c3.jpg"
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    "launches": [
      {
        "id": 98462,
        "title": "Burt - AI Teammates for Logistics",
        "tagline": "Agents that handle the manual, repetitive workflows for logistics teams end-to-end",
        "body": "We're [Bobby](https://www.linkedin.com/in/bobby-zhong/) and [Kurt](https://www.linkedin.com/in/kartavya-sharma/), co-founders of Burt (W26).\n\n[https://www.youtube.com/watch?v=Jj7XKdMwE1Q ](https://youtu.be/Jj7XKdMwE1Q)\n\n## **TL;DR**\n\nWe help freight brokers and forwarders build AI teammates that handle their repetitive, manual tasks so teams have time to focus on customers, carriers, and growing the business.\n\nWhether it’s tracking loads or chasing and processing documents, teams can build AI coworkers that follow their specific processes and work on top of their existing systems.\n\n## **The Problem**\n\nFreight brokers and forwarders operate on razor-thin margins in a relationship-driven business — yet most of their teams spend the majority of their day on manual, repetitive work.\n\nProblems like\n\n* **Shipment tracking and check calls**\n* **Document processing and data entry**\n* **Chasing PODs and rate cons**\n* **Finding and booking carriers**\n* **Invoice auditing and billing reconciliation**\n* **Quoting and building loads**\n\nAs volume grows, so does the headcount required to manage it. Teams burn out, service suffers, and growth stalls.\n\n## **Our Solution**\n\nWe help freight brokers and forwarders build AI teammates that handle their most repetitive workflows end-to-end — check calls, document processing, covering loads, invoicing, and more — pulling in the right person only when they're actually needed.\n\nOur AI teammates work the way a human operator would: reading emails, making calls, logging into portals, and updating their TMS — following their specific processes and living on top of their existing systems\n\nTeams can take on more business without burning people out, cut down on costly mistakes, and get their best operators back on the relationships that actually drive growth.\n\n![uploaded image](/media/?type=post&id=98462&key=user_uploads/1212113/fc18a40d-718d-4b27-960f-f7ec2e97623e)\n\n## **About Us**\n\nWe both grew up in logistics families so we know how hard the people in the industry have to work and we genuinely want to be able to make an impact on the space. Bobby spent weekends at his dad's 3PL warehouse and Kurt grew up watching his uncle sell on Amazon FBA — where half the stress was always coordinating shipments and chasing freight.\n\nWe know how hard freight is and there’s no one else we’d rather build for than the people in it.\n\n## **Our Ask**\n\nWe’d really appreciate any intros to anyone in the logistics space. Primarily freight brokers, forwarders, and carriers but we’re relatively new to the space so talking to anyone in the industry would be helpful!\n\nFeel free to reach out to us at [bobby@trainburt.com](mailto:bobby@trainburt.com) or find a time to chat [here](https://cal.com/bobby-zhong/30min)",
        "url": "https://www.ycombinator.com/launches/Pc6-burt-ai-teammates-for-logistics",
        "votes": 12,
        "created_at": "2026-03-04T22:42:49.123Z"
      },
      {
        "id": 97329,
        "title": "Burt - Train and Deploy Specialized Models",
        "tagline": "Build models that outperform general, closed source alternatives at a fraction of the cost and latency",
        "body": "We're [Bobby](https://www.linkedin.com/in/bobby-zhong/) and [Kurt](https://www.linkedin.com/in/kartavya-sharma/), co-founders of Burt (W26).\n\n## TL;DR\n\nWe help teams train and deploy specialized models that outperform general, closed source alternatives while being **10x faster and cheaper**. \n\nIf you’re building AI agents and you have LLM calls that are either too slow, too expensive, or just not good enough, let’s talk!\n\n<https://youtu.be/QFXP32moQy4>\n\n## The Problem\n\nAs good as general, closed source models are, they just aren’t built for your use case. \n\n* The fastest models are unreliable or still not fast enough\n* Your API costs are spiraling out of control \n* Your agent’s just not producing high quality or reliable enough outputs. \n* You have no control over a core piece of your product, leaving you with random regressions, service disruptions, and annoying rate limits\n\n## Our Solution\n\nWe help teams train and deploy custom models built specifically for their domain and use case. \n\nWe help with every step of the process, from data prep and evals to training and deployment. \n\nUsing the latest post-training and inference stack we’ve built in house, we deliver models that outperform SOTA while being a fraction of the cost and latency.\n\n## Case Study\n\nFor one of our customers (more details coming soon!), they had a model call that saw extremely high volume and had issues with it being too slow **even with gemini-3-flash.** \n\nTo solve that, we built a small vision language model (VLM) that’s **\\~3x faster** (p50) while being **MORE accurate** than gemini-3-flash/pro.\n\nNow we’re continuing to improve that model and closing that last 10%\n\n![uploaded image](/media/?type=post&id=97329&key=user_uploads/1212113/030f2ca2-2274-45e8-84b2-7a88b0779104)\n\n![uploaded image](/media/?type=post&id=97329&key=user_uploads/1212113/1a7e0a22-91e5-4116-977e-edcaf27470a4)\n\n## Ready to Specialize?\n\nIf you’re building AI agents and either of the following apply, we’d love to help:\n\n* You have **high volume, repetitive LLM calls** that you want to significantly reduce cost and latency for\n* The agents you’re building just aren’t achieving the quality or reliability you need\n\nBook a chat [here](https://cal.com/bobby-zhong/30min) or email us at [bobby@trainburt.com](mailto:bobby@trainburt.com)",
        "url": "https://www.ycombinator.com/launches/PJp-burt-train-and-deploy-specialized-models",
        "votes": 17,
        "created_at": "2026-02-02T02:11:07.791Z"
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    "id": 31114,
    "name": "Piris Labs",
    "slug": "pirislabs",
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      "Piris Inc.",
      "Pirislabs"
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    "website": "https://pirislabs.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Up to 80% of the most advance AI compute chips sits idle because of slow networking. Piris Labs builds photonic based networking solutions to enable fast, scalable, and low cost AI workload execution infrastructure.",
    "one_liner": "The Networking Layer of AI",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1770857008,
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      "United States of America",
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    "year_founded": 2025,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/110912035",
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    "cb_url": "https://www.crunchbase.com/organization/piris-labs",
    "github_url": "https://github.com/PirisLabs",
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      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
      {
        "user_id": 2792621,
        "full_name": "Ali Khalatpour",
        "title": "Founder/CEO",
        "founder_bio": "Founder (YC W26), reimagining AI compute architectures | PhD EE (MIT → NASA → Stanford)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alikhalatpour",
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      {
        "user_id": 3157622,
        "full_name": "Keyvan Moghadam",
        "title": "Founder/President",
        "founder_bio": "I am an AI technologist with a decade of experience scaling AI/ML products. At Meta and X, I specialized in leading tiger teams to launch high-stakes 0-to-1 initiatives.\n\nNow, I am the Co-Founder of Piris Labs. We are building high-speed photonic interconnects to solve the energy and latency constraints for AI data inference. My current focus is to iterate on our inference service and onboard customers into our platform.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/keyvanrm/",
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    "jobs": [
      {
        "id": 93808,
        "title": "Founding Engineer -- AI Inference Stack ",
        "url": "https://www.ycombinator.com/companies/pirislabs/jobs/r6mskwZ-founding-engineer-ai-inference-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Rust",
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      {
        "id": 104954,
        "title": "Piris Labs: We Set the Fastest Reported GLM-5.2 Inference Speed",
        "tagline": "Fast, scalable AI workload execution infrastructure.",
        "body": "Piris Labs  just achieved the fastest reported inference speed for the new GLM-5.2, outperforming pioneers and veterans in the space.\n\nWe finished the YC batch just a few months ago and believed it was important to maintain that same pace of execution while keeping our technical bar high. So yes, the YC advice is right: keep building.\n\nA lean, highly passionate team with strong execution and the right long-term vision can accomplish in a short period of time what often takes much larger organizations with billions in funding and hundreds of people years to achieve.\n\nWe're well on track to build fast, scalable, and low-cost AI workload execution infrastructure with a deep focus on the data movement layer, where many of the biggest bottlenecks in performance and unit economics exist.\n\nRead the full details here:\n\n<https://pirislabs.io/news/glm-benchmark>\n\nWe welcome independent third-party benchmarking. Feel free to DM us or reach out by email.\n\n#AIInference #MachineLearning #GLM52 #GenAI #AIInfrastructure #TechInnovation\n\n![uploaded image](/media/?type=post&id=104954&key=user_uploads/2792621/98b898a8-99fa-482a-ab7a-d65badc2b3e4)\n\n",
        "url": "https://www.ycombinator.com/launches/RIo-piris-labs-we-set-the-fastest-reported-glm-5-2-inference-speed",
        "votes": 5,
        "created_at": "2026-07-07T22:22:52.996Z"
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      {
        "id": 97751,
        "title": "Piris Labs: Inference at Light Speed",
        "tagline": "We deliver low-latency, low-cost AI inference by eliminating the memory wall using full-stack optical interconnects and a purpose-built software stack.",
        "body": "**The Problem: The Memory Wall Is Breaking the Economics of AI Compute**\n\nAI’s promise is unprecedented, but its economics are broken. Copper-based interconnects cannot keep up with modern models, limiting data movement between and within compute and memory. The result is high latency, inefficient hardware utilization, and unsustainable inference costs—creating a hard ceiling on AI margins.\n\n---\n\n**The Solution: Grow-Style Optimization for the Interconnect**\n\nToday’s data-center compute and networking were not designed for inference. Slow, power-hungry **copper** interconnects, along with costly signal processing and memory overhead, drive high latency and high cost.\n\nHigh-performance inference requires purpose-built hardware and a vertically optimized software stack. Piris Labs builds this optimized stack by combining proprietary **optical** interconnects with software designed to maximize hardware utilization. We vertically optimize the interconnect layer—just as the compute layer was vertically optimized by **Groq** (acquired by **NVIDIA** for $20 B).\n\nPiris Labs combines proprietary optical interconnects with a purpose-built software stack designed to maximize hardware utilization, delivering **5x** lower latency, **10x** lower power per bit, and **2x** lower cost per token\\\n\\\n**Our Launch Video**\\\n<https://youtu.be/PW1PbMYw2c0>\n\n**The Team**\n\nWe are a team of specialists at the intersection of hardware and AI:\n\n* Ali Khalatpour: MIT-trained engineer and Harvard–Stanford–trained optical scientist; developed the first room-temperature terahertz semiconductor laser; led the development of GUSTO’s optical engine for NASA\n* Keyvan Rezaei Moghadam: AI scientist and engineering leader with experience building 0-to-1 AI infrastructure at Meta and Twitter.\n\n### **Our Ask**\n\n**AI Products**: If you want to scale your inference workloads while slashing costs, reach out to us at [**contact@pirislabs.io**](mailto:contact@pirislabs.io).\\\n\\\n**Chip Makers & ODM Partners**: We are also looking for a couple of additional partners who get the chance of trying our optical solution first hand. Shoot us an email at [**founders@pirislabs.io**](mailto:founders@pirislabs.io).",
        "url": "https://www.ycombinator.com/launches/PQd-piris-labs-inference-at-light-speed",
        "votes": 21,
        "created_at": "2026-02-12T17:58:23.293Z"
      }
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    "id": 31116,
    "name": "OpenSpec",
    "slug": "openspec",
    "former_names": [
      "FISSION",
      "OpenSpec",
      "openspec"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6c411bb6889813a0a977496d80f091ebb000aac.png",
    "website": "http://openspec.dev",
    "all_locations": "Sydney, NSW, Australia",
    "long_description": "OpenSpec is an open-source, spec-driven framework. We help developers plan complex features by creating lightweight spec documents that serve as durable context for their coding agents.\r\n\r\nWith 20k+ GitHub stars, we’re one of the leading spec-driven frameworks, used by thousands of developers and teams to plan and ship with the coding agent of their choice.\r\n\r\nOur philosophy is simple: keep planning lightweight and iterative, and match how software actually gets built, messy, evolving, and real, without dragging teams into rigid, bureaucratic workflows.",
    "one_liner": "Plan mode for complex features",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1772742267,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Australia",
      "Oceania"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/openspec",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/openspec.json",
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    "country": "AU",
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        "user_id": 2771497,
        "full_name": "Tabish Bidiwale",
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        "id": 98556,
        "title": "OpenSpec: The Spec Framework for Coding Agents",
        "tagline": "27k+ stars. The open-source spec layer for AI-assisted development",
        "body": "Hey, everyone, I'm Tabish, and I’m the founder of [OpenSpec](https://openspec.dev/)!\n\n**TL;DR:** OpenSpec is an open-source spec framework that captures what you're building, why, and how, before your coding agent writes a line of code. 27k+ GitHub stars in under six months.\n\n[\\[Launch Video\\]](https://youtu.be/N-MftbmnmMo)\n\n### The Problem\n\nGenerating code is now cheap. Correctness is still expensive.\n\nEngineers don't distrust AI-generated code because models aren't capable. They distrust it because they can't reliably get the output they actually wanted. Did the agent meet my requirements? Handle edge cases? Fit my architecture?\n\nThe bottleneck isn't the model. It's underspecification.\n\n### How It Works\n\nOpenSpec adds a spec layer to your codebase: an openspec/ folder in your repo with two parts.\n\n**A spec library** (openspec/specs/) that documents how your system actually works, organized by capability. Living documentation that your agents and your team can always reference.\n\n**A changes system** (openspec/changes/) where each feature you build gets a proposal, design, implementation tasks, and spec deltas showing exactly how the requirements will change. When you ship, the deltas merge back into the spec library, so it grows with your codebase.\n\nEverything is markdown. Checkable into Git. Always accessible by your coding agent. We provide integrations with 20+ AI tools (Claude Code, Cursor, Windsurf, Copilot, and more) so your agents help you create, evolve, and manage specs through slash commands and skills.\n\n* **Your thinking persists.** Unlike plan mode, specs don't vanish when you close the chat.\n* **Iterate across sessions.** Evolve specs, keep the context.\n* **Changes are cheap here.** Expensive in code.\n\nWe're seeing teams shift from code review to _plan review_. It's easier to read a markdown spec than a large diff, and writing one forces real thought about the problem.\n\n### Backstory\n\nI was a team lead at a quantum computing startup. Turns out, managing coding agents is a lot like managing a team. Things break when there's no alignment on what you're building and why. Coding agents can't read your mind. That's still your job. We're building the workspace where that job gets done.\n\n### Ask\n\n**If your team has adopted AI coding tools but you're finding it harder to stay aligned, that's exactly the problem we're solving.** Code review feels heavier, agents produce work that doesn't quite fit, and your codebase is changing faster than anyone can track.\n\n* **Try it yourself:** OpenSpec takes less than a minute to set up. Use it on your next feature: [github.com/Fission-AI/OpenSpec](https://github.com/Fission-AI/OpenSpec)\n* **Engineering teams working on large or multi-repo codebases:** We're building Workspaces for teams that need deeper collaboration, customization, and multi-repo planning. If that sounds like you, we want to build it with you. Reach out at [tabish@openspec.dev](mailto:tabish@openspec.dev).\n* **Know an eng lead figuring out how to make AI coding work across their team?** We'd love an intro.\n\n**Website:** [openspec.dev](http://openspec.dev) **Email:** [tabish@openspec.dev](mailto:tabish@openspec.dev)\n\n![uploaded image](/media/?type=post&id=98556&key=user_uploads/2771497/52c10f89-0332-4d48-8df7-49e9091d942c)\n\n",
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        "created_at": "2026-03-06T22:33:21.404Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cignara automates the entire revenue cycle - sales and support - across voice and chat - for Fortune 500-scale companies. Companies like LG love us because of our ability to take personalized, agentic actions within their legacy IT systems, in a way that actively drives revenue increases (not just delivers CSAT).",
    "one_liner": "AI Customer Support for Fortune 500-scale enterprises",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
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    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/cignara.json",
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    "country": "US",
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      "name": "Garry Tan",
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    "founders": [
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        "user_id": 78606,
        "full_name": "Nalin Gupta",
        "title": "Founder/CEO",
        "founder_bio": "2x YC founder (S15 and P26). Building AI Call Center for some of the biggest B2C enterprises in the world. Previously built self-driving cars @Auro Robotics (acquired).",
        "is_active": true,
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      {
        "id": 102100,
        "title": "Cignara - AI agents to automate B2C sales & customer support",
        "tagline": "Agentic AI that understands your business, not just FAQs",
        "body": "Cignara (YC P26) automates sales and customer support for large B2C enterprises across voice and chat. \\\n\\\nProduct video: <https://youtu.be/eBVqdW-yJ7I>\n\\\nMost chatbots stop at answering FAQs. They can handle simple questions, but they do not understand customer profiles, follow complex enterprise policies, execute workflows, or recognize when a support call is really a retention or upsell moment. \\\n\\\nCignara is building AI agents that do exactly that: they handle phone and chat conversations end to end, with governed, verifiable, policy-bound actions grounded in a company's knowledge base and workflows. The same AI brain can also be used as a real-time copilot for human support agents, helping them respond faster and better. \\\n\\\nFounded by two-time YC founder Nalin Gupta, Cignara is trusted by Fortune 500 companies like LG to modernize customer interactions at scale.\n\n![uploaded image](/media/?type=post&id=102100&key=user_uploads/78606/61b73ffb-dd23-40aa-9b96-eb824eec46b8)\n\n",
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        "votes": 3,
        "created_at": "2026-05-28T17:44:35.995Z"
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    "id": 31118,
    "name": "/dev/fast",
    "slug": "devfast",
    "former_names": [
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        "full_name": "Sid Menon",
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        "founder_bio": "building the next github | prev @ Palantir, Harvard.",
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        "full_name": "Ketan Agrawal",
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        "founder_bio": "Building an AI-native Github @ dev.fast prev: AI/ML engineering at Snowflake, Robust Intelligence, Stanford Symbolic Systems/CS",
        "is_active": true,
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        "full_name": "Milan Bhandari",
        "title": "Founder/CTO",
        "founder_bio": "Building the next GitHub. Prev: Bolto (YC S23), Palantir, Harvard CS '21",
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        "linkedin_url": "https://www.linkedin.com/in/milan-bhandari-623979163/",
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        "user_id": 3196010,
        "full_name": "Alex Iansiti",
        "title": "Founder/CPO",
        "founder_bio": "rethinking dev tools for the era of slop code. Prev: Flowcode, Pinterest, Harvard CS '21",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alex-iansiti/",
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      {
        "id": 112248,
        "title": "/dev/fast: Cursor for Code Review",
        "tagline": "Review is an open-source desktop app built for humans to understand AI-generated code. Critique interactive visualizations, diffs, and agent traces, all from one interface.",
        "body": "**TL;DR:** _Review is an open-source desktop app designed to give you confidence in your code. Critique interactive visualizations, diffs, and agent traces, all from one interface. It’s like Cursor, but purpose-built for code review._\n\n**Our Ask:** Try our app on your toughest code reviews; it is most illuminating for large, complicated changes. [Download the app](https://install.dev.fast/), [star the repo](https://github.com/devdotfast/review), &amp; ask your questions on our [Discord](https://discord.gg/dev-fast)!\n\n**Demo Video:** <https://youtu.be/mDgxhzrFi2Y>\n\n**The Problem:**\n\nNo one knows how much code we should be reading these days.\n\nIt feels tedious and old-fashioned to manually comb through thousands of lines of changes, and yet irresponsible to merge code you can’t confidently describe.\n\nWe’ve lost touch with how our own systems work.\n\nBuilding a company is a long game. Development is an iterative process. It takes accountability and code comprehension at every stage to build a great product that customers can count on ([ex 1](https://www.geoffreylitt.com/2026/07/02/understanding-is-the-new-bottleneck), [ex 2](https://margaretstorey.com/blog/2026/02/09/cognitive-debt/)).\n\n**Our Solution:**\n\nBefore AI, staff engineers understood massive software systems even when they didn’t have time to read all contributed code. They prioritized without sacrificing complexity by:\n\n\\- Scrutinizing RFCs and architecture diagrams\n\n\\- Skipping low-impact PRs\n\nReview treats you like a staff engineer. You can think of it as a ‘Cursor for code review.’ It helps you build programmatic, customizable RFCs from your PRs using coding agents.\n\nInstead of reviewing 1000+ line diffs you:\n\n1\\. Consult a variety of interactive diagrams built on our SDK:\n\n![uploaded image](/media/?type=post&id=112248&key=user_uploads/2724635/4db58f4d-cdcc-4825-966d-c92ffcfedeba)\n\n2\\. Chat with the authoring agent to leave comments on the change:\n\n![uploaded image](/media/?type=post&id=112248&key=user_uploads/2724635/5849e89e-3eb0-494d-a921-985402d16252)\n\n3\\. Audit the agent’s decisions by connecting traces to code:\n\n![uploaded image](/media/?type=post&id=112248&key=user_uploads/2724635/d0b141ce-fcb3-4392-b59f-6d16e4f10f1a)\n\n—\n\n**Team:**\n\n![uploaded image](/media/?type=post&id=112248&key=user_uploads/2724635/42caf723-b7dc-4ca1-a848-9bbce13cd39e)\n\n**Sid (CEO)** was a tech lead on Palantir’s cloud infrastructure team, where he built secure hybrid cloud deployment infrastructure. He studied CS at Harvard.\n\n**Milan (CTO)** was a cofounder of Bolto (YC S23) and previously worked on Palantir's ML infrastructure team, where he built tools for in-platform model deployment and evaluation. He studied CS at Harvard.\n\n**Ketan (CSO)** has worked as a machine learning engineer at Robust Intelligence where he red-teamed AI systems to make them fail, and at Snowflake where he built data-querying agents. He studied CS at Stanford.\n\n**Alex (CPO)** worked as a software engineer at Pinterest and at Flowcode where he led an effort to rearchitect the product for large enterprises. He studied CS at Harvard.\n\n—\n\n**We’re going all in on open-source. Our dream is to be the open-source code forge for the AI era.**\n\n**Install the app here:** <https://install.dev.fast>\n\nHave questions, comments, or interested in a design partnership for our hosted product? We’d love to hear from you!",
        "url": "https://www.ycombinator.com/launches/TCS-dev-fast-cursor-for-code-review",
        "votes": 4,
        "created_at": "2026-08-25T23:51:47.650Z"
      },
      {
        "id": 98162,
        "title": "Carson: More secure than OpenClaw, More capable than Cowork",
        "tagline": "An AI agent with enterprise-grade security that generates custom, task-specific interfaces.",
        "body": "**TL;DR:** AI agents are trapped in chat bubbles. Carson breaks free by generating dynamic interfaces like research dashboards or slide editors, customized to your current task. Carson is built for problem solvers pushing the bounds of AI in sales, marketing, and ops, with enterprise-grade security baked in.\n\n**Our ask:** Sign up to use Carson today at [usecarson.com](http://usecarson.com), it's free for your first 7 days.\n\n**Demo Video:** <https://www.youtube.com/watch?v=23sZGNMz3PU>\n\n### The Problem:\n\nAI tools today force you to choose between power and safety:\n\n**1) Openclaw is powerful but insecure** ([example](https://x.com/summeryue0/status/2025774069124399363))**:**\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/b2f3f2f6-a15c-437b-840a-e8e2f075c2d4)\n\n**2) Claude Cowork is too limited:** Cowork is useful, but it could do much more. For example, if you use Cowork to source candidates, you need to bounce between LinkedIn, email, and the desktop app. Its permissions system is also clunky: you either approve every single action manually or skip permissions entirely with YOLO mode.\n\nOn some level security & autonomy are fundamental tradeoffs, but better tools should exist.\n\n### The Solution:\n\nCarson’s UI is generative, which means it changes to suit your use-case. Let’s walk through a common workflow as an example: **sales.**\n\n**Phase 1: Outbound**: Below, I first use Carson to research leads. It realizes that I want structured data, so it fills an editable spreadsheet with deep research. \n\nOnce that’s ready, I ask it to help me draft emails. Instead of switching between my LinkedIn, research, and my email, Carson generates a unified email workspace with all three in one pane.\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/4d5a7add-b0dd-4189-be0c-2f296cc24915)\n\n**Phase 2: First Meeting Prep (“Vibe Sliding”):** when the emails turn into meeting invites, I can use Carson to generate a customized slide deck based on the response & deep research (complete with branding)! I can also “vibe slide” and make edits to the slides using natural language.\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/c69368ec-fa33-4746-a005-ef640ff400d7)\n\n**Phase 3: Automations:** Carson can create and run automations in natural language. In this case, I ask Carson to send slides to me on Slack every time a new intro meeting comes up:\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/7ec59f08-0a16-4bb4-aefd-e686923d5a21)\n\n### \n\n**Security Infrastructure**\n\n**TL;DR: You can actually install Carson at work.**\n\nWe weren’t happy at all with the primitives out there on agentic security. The compromises range from the uncomfortable (granting broad access to your entire email & calendar) to deeply concerning (giving an agent secret keys and telling it “\\_hey make no mistakes\\_”).\n\nInstead, Carson is built around a fine-grained authorization system. You can tell the agent “\\_it’s ok to send emails to these addresses, but ask me before interacting with those other ones\\_”, and it’s enforced at the runtime level – the agent literally cannot send emails to unintended recipients.\n\n### **Our Asks:**\n\nIf you’ve felt that Claude Cowork could be more capable or felt scared to try OpenClaw at work, Carson is right for you.\n\nContact us at +1-614-984-8423 or at [sid@usecarson.com](mailto:sid@usecarson.com). We’ll come over and install Carson for you (if you ask nicely, there may be a bag of sumo oranges provided, too).\n\n**The Team**\n\nAlex, Sid, and Milan met doing college projects together at Harvard, and Sid and Ketan go way back (to elementary school).\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/275c90fc-a5a9-4199-a657-221b81dee677)\n\n**Sid (CEO)** was a tech lead on Palantir’s cloud infrastructure team, where he built secure deployment infrastructure for untrusted workloads. He studied CS at Harvard.\n\n**Milan (CTO)** was a cofounder of Bolto (YC S23) and previously worked on Palantir's ML infrastructure team, where he built tools for in-platform model deployment and evaluation. He studied CS at Harvard.\n\n**Ketan (CSO)** has worked as a machine learning engineer at Robust Intelligence where he red-teamed AI systems to make them fail, and at Snowflake where he built data-querying agents. He studied CS at Stanford.\n\n**Alex (CPO)** worked as a software engineer at Pinterest and at Flowcode where he led an effort to rearchitect the product for large enterprises. He studied CS at Harvard.",
        "url": "https://www.ycombinator.com/launches/PXG-carson-more-secure-than-openclaw-more-capable-than-cowork",
        "votes": 57,
        "created_at": "2026-02-26T01:04:36.863Z"
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    "id": 31121,
    "name": "Avoice",
    "slug": "avoice",
    "former_names": [
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    "website": "https://avoice.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Avoice is an all-in-one, AI-native platform for running an architecture practice. It covers the whole arc of a project: pricing and proposals to win the work, research and schedules in early design, specifications and QA/QC checks through documentation, contract particulars and preliminaries at tender, then RFIs, submittals, instructions, certificates and valuations through construction, and the compliance record at handover. Timesheets, fees, financials and invoicing run alongside, with Xero and QuickBooks.\r\n\r\nSpecification is the most-used part of the platform. Avoice drafts coordinated, tender-ready specifications from a practice's own drawings, schedules and office masters, then checks them back against those drawings. Work that normally takes weeks takes an afternoon.\r\n\r\nPractices in the UK, US, Australia and New Zealand use Avoice, from boutique studios to firms of several hundred people. It integrates with Revit and ArchiCAD. ",
    "one_liner": "AI-native workspace for AEC",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1763995110,
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    "batch": "Winter 2026",
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    "url": "https://www.ycombinator.com/companies/avoice",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/avoice.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/avoicelabs/?viewAsMember=true",
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        "user_id": 3203441,
        "full_name": "Chawin Asavasaetakul",
        "title": "Founder/CEO",
        "founder_bio": "Chawin has a B.S. in MS&E from Stanford. He founded an edtech startup in college that hit $1M+ in revenue and sold to Boston Networks in 2025, and co-founded Yindii, a surplus food marketplace active in 4 countries with 700K+ users. As Co-CEO of Dyno, a 200+ person family coatings business, he reversed a decade of decline and drove 20% YoY revenue growth to $15M. There he built the architecture sales team from scratch, spending two years working with architects before co-founding Avoice. ",
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        "user_id": 2900949,
        "full_name": "Chawit Asavasaetakul",
        "title": "Founder/CTO",
        "founder_bio": "Building Avoice!",
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        "id": 98604,
        "title": "Avoice: Harvey for Architecture",
        "tagline": "AI Agents for the $300B Architecture Industry",
        "body": "**TL;DR:** [Avoice](https://avoice.co/) is building the AI operating system for architecture. Architects sit at the center of a $300B industry with 3.5M professionals globally, yet their core workflows remain largely untouched by AI. We're building the AI-native workspace that automates documentation, specifications, and coordination across the architecture workflow.\\\n\\\n\\*\\*Launch Video: <https://www.youtube.com/watch?v=k0C4puetlV8>\\*\\*\\\n\\\n**The Problem**\\\n\\\nArchitecture sits at the center $12T construction ecosystem. Yet the workflows that run architectural projects — specifications, documentation, coordination, and compliance — are still largely manual.\n\nArchitects spend huge amounts of time writing specs, organizing project documentation, coordinating materials, and checking drawings across fragmented tools.\n\nDespite the scale of the industry, there are virtually no AI-native solutions built specifically for architectural workflows.\\\n\\\n**The Solution**\n\n**Avoice is building AI operating system for architecture.**\n\nOur AI agents automate the operational workflows that run architectural projects — generating specifications, structuring project documentation, coordinating materials, and managing schedules.\n\nInstead of manually assembling documentation across multiple systems, architects can run these workflows through Avoice turning weeks of works into minutes.\n\nToday firms are already using Avoice to run real projects.\n\nOver $300M in construction projects are currently operating on the platform across firms in 5 countries.\\\n\\\n**Team**\\\n\\\n[Chawin](https://www.linkedin.com/in/chawinasava/) previously served as Co-CEO of Dyno, a 200+ person coatings company where he reversed a decade of decline and grew revenue to $15M while building the company’s architecture sales team and working closely with architects, essentially working with architects every day for two years! Earlier, he founded and sold an edtech startup that scaled to $1M ARR and in high school he co-founded Yindii, a surplus food marketplace now serving 700K+ users across four countries. B.S. in MS&E from Stanford. \\\n\\\n[Chawit](https://www.linkedin.com/in/chawit-asavasaetakul-a487a724b/) conducted AI research at UCSF and UC Berkeley’s CAHL Lab. He previously built production systems at Amazon powering Alexa+. He is also a U.S. National Chess Master and has ranked among the top 10 players in Thailand for the past five years and counting. CS dropout at UC Berkeley.\\\n\\\nLearn more at [avoice.co](https://avoice.co/) and reach out at [founders@avoice.co](mailto:founders@avoice.co)",
        "url": "https://www.ycombinator.com/launches/PeO-avoice-harvey-for-architecture",
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        "created_at": "2026-03-08T23:44:32.873Z"
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        "id": 97724,
        "title": "Avoice: The AI workspace for architects",
        "tagline": "Harvey for Architecture ",
        "body": "[Avoice](https://www.avoice.co/) is the AI workspace for architecture firms, using AI agents to automate the operational work that takes time away from design. The platform understands messy project data - specifications, schedules, codes, drawings, materials, and notes - and turns them into structured, usable outputs across documentation, coordination, QA/QC, and research.\n\nInstead of architects manually stitching together PDFs, spreadsheets, and folders, Avoice’s AI agents act as digital teammates that can write specifications, check compliance, coordinate schedules, and surface project knowledge across a firm’s past work.\n\nFirms using Avoice already manage $300M+ in active projects on the platform.\n\n**Problem**\n\nArchitects spend an enormous amount of time on work that is critical but painful: writing specifications, coordinating schedules, checking codes, redlining documents, and keeping project knowledge consistent across teams.\n\nThis work is:\n\n* Fragmented across PDFs, spreadsheets, emails, and folders\n* Largely manual, repetitive, and error-prone\n* Poorly supported by modern tools (most software optimizes drawings, not documentation)\n\nThe architecture industry is also a massive ($300B+) but historically underserved market: highly fragmented, dominated by small and mid-sized firms, and reliant on legacy software built decades ago.\n\nMost incumbents focus on drawings or rigid document systems that require heavy customization and consulting to work for each firm. As a result, many architecture practices still rely on patchworks of spreadsheets, PDFs, and disconnected tools to manage documentation and project knowledge.\n\nAs a result, firms lose time, consistency, and institutional knowledge across projects , especially as teams scale or turn over.\n\n**Approach**\n\nWe built Avoice around how documentation is actually produced inside architecture firms — specs, schedules, coordination, and QA — not just drawings.\n\nAvoice acts as a shared workspace where project information lives in one place and stays connected as it evolves. Instead of rewriting the same information across different documents, teams can reuse, reference, and update it consistently.\n\nHistorically, architecture software struggled because every firm works slightly differently. Customizing workflows and documentation systems for each practice required expensive consulting and was difficult to scale. AI changes this equation.\n\nWith Avoice, AI agents can adapt to a firm’s specific standards, templates, and workflows, helping generate specifications, coordinate schedules, check for coordination issues, and support QA while still keeping architects in control of decisions and design intent.\n\nOur goal isn’t to change how firms practice architecture, but to reduce the manual overhead that slows teams down and introduces avoidable\\\n\\\n<https://youtu.be/k0C4puetlV8>",
        "url": "https://www.ycombinator.com/launches/PQC-avoice-the-ai-workspace-for-architects",
        "votes": 71,
        "created_at": "2026-02-11T16:43:57.687Z"
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    "id": 31123,
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    "website": "https://21st.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "21st.dev is the largest React component registry for AI applications, used by 2M developers \r\nWe provide the building blocks to create agent-powered apps: UI components, agent templates.",
    "one_liner": "UI building blocks for the agentic internet",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1765422527,
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    "batch": "Winter 2026",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/21st.json",
    "year_founded": 2024,
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        "full_name": "Serafim Korablev",
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        "founder_bio": "CS dropout. Senior Software Engineer at Deel (W19). Built Perplexity before Perplexity (Suggesty, 2022 — #1 Product Hunt, featured in Google's internal newsletter). Solo-built a Figma competitor pre-AI (Stage, 10K users). Cambridge AI hackathon winner (solo)",
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        "title": "21st - Infrastructure for AI agents",
        "tagline": "The production layer for shipping frontier AI agents inside your product - sandboxing, streaming, billing, UI, and observability out of the box.",
        "body": "**tl;dr:** We make it stupid easy to deploy frontier AI agents (Claude Code, Codex, others) inside your product. Define your agent in TypeScript, deploy with one command, ship it to your users.\n\n<https://youtu.be/1WcdHbyik18>\n\n### How we got here\n\nLast year we built [21st.dev](http://21st.dev) - a React component registry that 1.4M developers use to build UI for AI apps.\n\nWe also built our own AI agents from scratch to power the product. All custom. 15,000+ GitHub stars.\n\nThen Claude Code arrived. We rewrote our agents on top of it - and they got better overnight than in months of our own work. That was a humbling moment.\n\nBut here's the thing - getting Claude Code into production was brutal. These agents aren't API calls. They're runtimes. They rely on bash, filesystem, persistent sandboxes. So you can't just run them on Vercel (timeouts, no fs). Then the questions start piling up. How do you sandbox securely? How do you make sure your env vars aren't stolen from the sandbox? How do you handle streaming? Billing? Observability? You end up building way more infrastructure than you planned for.\n\nWe spent 2 months deep in these problems. And then we realized - every team building on frontier agent SDKs is facing the exact same wall we just climbed over.\n\nSo we turned our infrastructure into a product.\n\n### 21st Agents SDK\n\nThe agent SDKs give you the brain. We give you everything else.\n\nWhat you get out of the box:\n\n* Sandboxed code execution (powered by E2B) - secure, persistent\n* Credential security - proxy layer so your keys never touch the sandbox\n* SSE streaming, compatible with AI SDK\n* Crafted agent chat UI with themes\n* Usage limits & billing\n* Observability\n\nHow it works: you define your agent in code - custom tools, hooks like onFinish, sandbox configuration (which files, which CLI tools, which tokens). Then you deploy with our CLI. And you have a hosted agent you can manage via API. It's AI SDK compatible so you can just plug and play on the client side.\n\nSDK supports React, Next.js, Node, and Python.\n\n### Why this matters now\n\nThe best agents aren't being built from scratch anymore. They're being built on top of frontier agent runtimes from Anthropic, OpenAI, and others. But shipping them to real users? That's still a mess. The gap between \"agent works on my machine\" and \"agent works for my customers\" is enormous.\n\nWe already closed that gap for ourselves. Now we're the infra layer so you don't have to.\n\n### Try it\n\n<https://21st.dev/agents>\n\nIf you're building with frontier AI agents and hitting production walls - we want to hear about it. DM us on X (@serafimcloud, @sergeybunas) or email [founders@21st.dev](mailto:founders@21st.dev)\n\n---",
        "url": "https://www.ycombinator.com/launches/PiD-21st-infrastructure-for-ai-agents",
        "votes": 19,
        "created_at": "2026-03-16T08:16:04.714Z"
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    "long_description": "Tepali is the AI EMR for medspas & wellness clinics. Front desk, charting, point of sale, and marketing in one system, with an AI employee that books new leads, charts every appointment, and brings past clients back.",
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      "name": "Diana Hu",
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        "user_id": 2883727,
        "full_name": "Chrisvin Jabamani",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Tepali (YC W26). Previously scaled operations at Rilla, a vertical AI unicorn. Former investment banking analyst at PJT Partners where I executed $30B in M&A and restructuring. NYU Stern '23.",
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      {
        "user_id": 2145173,
        "full_name": "Vishnu Pathmanaban",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Tepali (YC W26). Carnegie Mellon CS. Led engineering at MealPal (Series B), then built the all-in-one POS at Dripos (YC S20), powering thousands of coffee shops.",
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        "title": "Tepali: AI EMR for medspas & wellness clinics",
        "tagline": "Front desk, charting, point of sale, and marketing in one system, with an AI employee that books new leads, charts every appointment, and brings past clients back.",
        "body": "**Hey everyone!**\n\nWe're Vishnu and Chrisvin, the co-founders of Tepali.\n\n<https://www.youtube.com/watch?v=zt2O8-s3Alo>\n\n**TL;DR**\n\nTepali is the AI EMR for medspas &amp; wellness clinics. Front desk, charting, point of sale, and marketing in one system, with an AI employee that books new leads, charts every appointment, and brings past clients back.\n\n**The problem**\n\nA medspa runs on ten to twelve disconnected tools: one for booking, another for charting, another for payments, texting, marketing, and inventory. None of them talk to each other. The gaps between them get filled with the owner's time: missed calls, after-hours charting, and leads that go cold before anyone follows up.\n\nMost of that software was built for salons, before AI. Even the all-in-one platforms digitize the manual work instead of doing it.\n\n**What Tepali does**\n\nFirst, one system for the whole practice: front desk, EMR, point of sale, and marketing. Scheduling, the client record, charts, consent forms, inventory, payments, memberships, and every text, call, and Instagram DM live in the same place.\n\nThen an AI employee that works across all of it, at every stage of the visit:\n\n**Before the visit, it books new leads.** It answers every call and text 24/7. Leads from ads, Instagram DMs, and website forms get a reply in seconds, and it converses with each one until they book a consultation. Every conversation lands in one unified inbox, so your front desk sees the whole thread.\n\n**During the visit, it charts every appointment.** An ambient scribe listens to the treatment and writes a complete, service-specific chart as it happens, so charts are done without taking up provider time. Charting is built for injectables: injection maps on the client's own before photos, consent forms sent automatically, Good Faith Exam tracking, and inventory deducted by unit and lot.\n\n**After the visit, it brings past clients back.** It reaches out to clients who are due for their next treatment, recovers no-shows, fills cancellations from the waitlist, and requests reviews. Checkout fills the cart from the visit, with memberships, packages, gift cards, and card readers at the counter.\n\n![uploaded image](/media/?type=post&id=98330&key=user_uploads/2145173/726ff95e-085c-4c19-8c27-bfeb944afc36)\n\n**Who it's for**\n\nMedspas and aesthetics practices (injectables, lasers, skin), and wellness clinics: IV therapy, medical weight loss, hormone therapy, peptides, and longevity. All are cash-pay medical businesses that need charting, consent, and inventory tracking.\n\n**The team**\n\nWe're best friends who grew up together and have spent our careers inside this exact problem.\n\nVishnu studied CS at Carnegie Mellon and led engineering at MealPal (Series B). At Dripos (YC S20), he built the all-in-one point of sale used by thousands of coffee shops and saw how much a service business changes when its software finally works as one system.\n\nChrisvin studied at NYU Stern and executed $30B in M&amp;A at PJT Partners. He then scaled operations at Rilla, a vertical AI unicorn, where he saw what happens when AI is applied to high-ticket service industries.\n\n**Get in touch**\n\nOwn or operate a medspa or wellness clinic? Book a demo → [tepali.com](http://tepali.com)\n\nKnow a medspa owner? Intro us → [founders@tepali.com](mailto:founders@tepali.com)",
        "url": "https://www.ycombinator.com/launches/PZy-tepali-ai-emr-for-medspas-wellness-clinics",
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        "created_at": "2026-03-02T13:13:53.102Z"
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    "long_description": "Cumulus Labs lets engineering teams ship AI in production without needing a dedicated ML platform team. Right now, companies building AI products are forced to stitch together separate vendors for routing, observability, evaluation, fine-tuning, and inference. This fragmented approach is brittle, expensive, and is a common reason enterprises fail with AI.  \r\n\r\nWe replace that entire stack with a single unified platform. Developers can keep their existing code while instantly upgrading to a unified platform that handles routing, semantic caching, continuous shadow evaluation, simulated data, and one-click fine-tuning. \r\n\r\nBehind the platform is Ion, our proprietary inference engine running on a custom NVIDIA Grace GPU fleet. Ion uses in-house custom GPU kernels to deliver 30 to 50 percent more throughput than standard vLLM or SGLang, giving our customers SOTA inference economics.",
    "one_liner": "The Fastest Multimodal Inference OS",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "been building robots together since we were 7\r\n\r\n![uploaded image](/media/?key=user_uploads/3182820/83506448-2b7e-4c23-b2b4-2fa9392fb1f4)\r\n\r\n"
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        "full_name": "Veer Shah",
        "title": "Founder/CEO",
        "founder_bio": "Veer studied Computer Science at the University of Wisconsin—Madison, graduating in December 2025. During college, he worked at an aerospace startup where he led a Space Force SBIR contract for military satellite communications and contributed to several NASA SBIR programs, two of which were commercialized and are currently being flight tested in space. Before college, he captained his FIRST Robotics Team 5422: Stormgears, qualifying for Worlds all four years.",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $300K",
        "equity_range": "1.00% - 5.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Distributed Systems",
          "Software Architecture"
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    "launches": [
      {
        "id": 96856,
        "title": "Cumulus Labs ☁️ | Supercharge Your Training & Inference",
        "tagline": "Meet Cumulus, the GPU cloud where you’re charged by physical resource usage for 50-70% savings.",
        "body": "## **TL;DR**\n\nCumulus is a performant GPU cloud that preemptively optimizes your training and inference workloads across our global supply of multi-tenant clusters. The result: we **save you 50-70%** through charging by physical resources used, provide faster inference with ultra-low cold starts, and ensure zero time spent debugging infrastructure.\n\n**Ask**: If you’re training models or serving inference workloads, frustrated with GPU costs and performance, let us optimize your **LLMs, LoRAs, vision models, and more.**\n\n**Website:** <https://cumuluslabs.io>\\\n**Docs:** <https://docs.cumuluslabs.io>\n\nLaunch Video: <https://www.youtube.com/watch?v=duQwV50GKXc>\n\n## **The Problem**\n\nAI teams are bleeding money and time on GPU infrastructure:\n\n* **Massive waste**: Teams pay for idle GPUs sitting at 30-40% utilization because scaling is unpredictable\n* **Infrastructure hell**: Engineers spend weeks configuring Kubernetes, debugging OOM errors, and managing failovers instead of building models\n* **Cold start latency**: Inference workloads take 10-30+ seconds to spin up, killing user experience\n* **Vendor lock-in**: Once you commit to a cloud provider, switching costs make it nearly impossible to optimize for price or performance\n* **Skyrocketing costs**: Companies burn through runway 2-3x faster than planned because GPU bills spiral out of control\n\nEvery hour debugging infrastructure is an hour not spent improving your models. Every dollar wasted on idle GPUs is a dollar not spent on growth.\n\n---\n\n## **The Solution**\n\n**Cumulus is a GPU optimization layer that makes compute cheap, fast, and invisible.**\n\nWe aggregate compute from everywhere—big cloud providers, trusted data centers, individual hosts—into a single unified pool. Then we do three things no one else does:\n\n# **1. Predictive Packing & Live Migration (Training/Fine-tuning)**\n\nYour training jobs are intelligently packed alongside other workloads to maximize GPU utilization. As your job runs, we predict resource usage and **live-migrate you to faster or cheaper clusters** without interruption. No more paying for an entire H100 when you only need 40% of it.\n\n# **2. Execution State Capture & Global CDN (Inference)**\n\nWe capture your model's live execution state (VRAM, memory, loaded weights) and replicate it across our global compute CDN. When a request comes in, we serve from the closest cluster with **ultra fast cold starts**—no more waiting 30 seconds for a job to spin up. We have tested with **LLMs, vision models, LORAs, and many others.**\n\n# **3. Intelligent Scheduling & Auto-Recovery**\n\nOur scheduler constantly monitors your jobs, diagnoses failures, and auto-recovers without manual intervention. The Cumulus prediction system learns your usage patterns over time and pre-allocates resources before you need them.\n\n**The bottom line:** _You write 20 lines of config. We handle everything else._\n\nOur Demo: <https://www.youtube.com/watch?v=J0KRFWE3-fg>\n\n## **The Team**\n\n![uploaded image](/media/?type=post&id=96856&key=user_uploads/3177002/fbef3bec-137d-4275-8433-8a1ccfad47a5)\n\n(winning the science fair in 4th grade for a robot that solved Rubik’s cubes)\n\n**Veer Shah** (Founder)\\\nLed a Space Force program and worked on ML workloads at an aerospace startup supporting NASA missions, where infrastructure needed to be both performant and secure. \n\n**Suryaa Rajinikanth** (Founder)\\\nBuilt custom GPU compute solutions at TensorDock, then moved to Palantir where he built critical infrastructure for the US Government. Deep expertise in distributed systems and resource optimization.\n\nWe met as third graders and have been building together our whole lives. We've seen the GPU infrastructure problem from both sides: Suryaa from the provider side at TensorDock, Veer from the customer side running mission-critical ML workloads. We started Cumulus Labs because we knew exactly what the industry needed—and no one was building it.\n\n## **What We're Looking For**\n\n**If you're training models or serving inference workloads**, frustrated with vendor lock-in, or simply paying too much for your GPUs, reach out.\n\n**Know AI/ML teams experience any of these issues?** Connect them with us.\n\nWe optimize LLMs, LoRAs, vision models, and more.\n\nWe'd love your feedback on which features matter most.\n\n---\n\n## **Get In Touch**\n\nJoin the waitlist: <https://cumuluslabs.io>\\\nContact us: [founders@cumuluslabs.io](mailto:founders@cumuluslabs.io)\\\nBook a demo: [Here](https://calendar.app.google/NepPaCiZxCTM9vyUA)\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\nHuge thanks to partners, our batch-mates, and everyone who's helped so far.\n\nLet's make AI infrastructure invisible.\n\n— Veer, Suryaa, and the Cumulus team\n\n![uploaded image](/media/?type=post&id=96856&key=user_uploads/3177002/3045bccb-ce6f-4d07-b8dd-37c34772ce14)\n\n",
        "url": "https://www.ycombinator.com/launches/PCC-cumulus-labs-supercharge-your-training-inference",
        "votes": 41,
        "created_at": "2026-01-16T07:57:30.095Z"
      }
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  },
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    "id": 31130,
    "name": "AutoSitu",
    "slug": "autositu",
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    "website": "https://autositu.com/",
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    "long_description": "At AutoSitu, we’re building the AI operating system for the built world—coordinated AI agents that work across development, design, review, and construction.\r\n\r\nOur agents analyze complex plans, requirements, and project documentation in minutes—surfacing critical issues, doing the heavy lifting, and escalating the decisions that require human expertise.\r\n\r\nFrom site feasibility and entitlement risk to QA/QC, code compliance, constructability, quantity takeoff, and scope analysis, AutoSitu helps cities, architects, engineers, developers, and construction teams identify problems earlier and move projects forward with greater speed and confidence.\r\n\r\nWe serve as a strategic AI partner to forward-thinking public agencies and AEC organizations across the country and are backed by Y Combinator (W26).",
    "one_liner": "The AI operating system for the built world",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1765384359,
    "tags": [
      "Real Estate",
      "Construction"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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      "Legal"
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    "regions": [
      "Unspecified"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/autositu",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/autositu.json",
    "year_founded": 2025,
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    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/autositu",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 2244794,
        "full_name": "George Zhai",
        "title": "Founder/CEO",
        "founder_bio": " A Georgia Tech graduate, he has worked on autonomous cars, boats, and robotic systems, consistently pushing the boundaries of autonomy. George is known for rapidly engineering novel, highly cost-effective solutions—bridging advanced AI with real-world applications from self-driving vehicles to scalable automation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/george-zhai-213373141/",
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        "user_id": 2679474,
        "full_name": "Xuanshu (Asher) Lin",
        "title": "Founder/CEO",
        "founder_bio": "Lin combines a background in Urban Planning and Architecture from the University of Michigan, bringing policy insight and design expertise to AutoSitu. He leads product strategy focused on zoning and site plan compliance, with hands-on experience across projects in Champaign–Urbana and Detroit’s Joe Louis Greenway. An APA Planning and Design Competition Honorable Mention recipient, Lin works to make compliance faster, clearer, and more accountable.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/linxis01/",
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    "jobs": [
      {
        "id": 97187,
        "title": "Founding Engineer - Arkhe",
        "url": "https://www.ycombinator.com/companies/autositu/jobs/CvB6tcr-founding-engineer-arkhe",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
        "equity_range": "1.00% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Distributed Systems"
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    "launches": [
      {
        "id": 97122,
        "title": "AutoSitu: AI-native Development Plan Review for Faster Approvals",
        "tagline": "Pre-validates submissions against jurisdiction requirements and patterns so teams submit cleaner sets and cities review faster",
        "body": "**TL;DR:** Hi YC! We’re Lin and George, founders of AutoSitu. We’re building software that automatically reviews site and building plan sets in minutes and surfaces what a city is likely to flag before you submit.\n\n**🧱 Problem**\\\nIn real estate, _time kills deals_ — and permitting/review is one of the biggest sources of delay and variance.\\\nMost projects go through **2–3 resubmittal cycles**, adding **3–9 months**.\n\n* Developers: **$50k–$250k+** in carrying costs while projects sit in review\n* Architecture teams: **80–200 hours** of unplanned work per resubmittal\\\n  → at **\\~$130/hr**, that’s **$10k–$25k+** of margin erased on fixed-fee work 🐌\n\n**⚡ Solution**\\\nAutoSitu is an AI-powered development plan review engine that flags the issues that typically surface later — **before submission**, when fixes are cheap.\n\nTeams use AutoSitu to:\n\n* reduce city comments **50–70%**\n* cut resubmittals from **2–3 → 0–1**\n* shorten approvals by **3–6 months+**\n\n**💰 Impact**\\\nThat’s **$100k–$400k** in avoided carrying costs for developers and **$10k–$25k** in preserved fee margin per project for architecture teams.\n\n👋 **Backstory**\\\nLin worked across **20+ U.S. public and private projects** in planning and architecture, sitting on **both sides of the table**, and repeatedly hearing the same question from teams and clients: _why does review take so long when the issues are so predictable?_\n\nGeorge spent years building automation systems in robotics and AI, turning processes that took **weeks of manual effort** into scalable pipelines, cutting costs from **$50k to $2k** while keeping humans in the loop.\n\nAutoSitu started from a shared realization: permit review isn’t slow because people aren’t trying, it’s slow because the same checks are repeated manually, at scale, with no early signal.\n\n[🎥 **Launch Video**: https://youtu.be/77ErS3Ja4Ho](https://youtu.be/77ErS3Ja4Ho)\n\n🤝 **Ask / CTA**\n\nIf you’re an **architecture/development** team, we’d love to **apply the same playbook from our successful deployments** to your next submission, we’ll help you run AutoSitu end-to-end on a real plan set.\n\n**Reach us** at [**founders@autositu.com**](mailto:founders@autositu.com) or [DM](https://www.linkedin.com/company/autositu).\\\n**Visit us: [https://autositu.com/](https://autositu.com/)**\n\n![uploaded image](/media/?type=post&id=97122&key=user_uploads/2679474/04e7826b-9b84-4745-9714-a57ac24f95d1)\n\n",
        "url": "https://www.ycombinator.com/launches/PGU-autositu-ai-native-development-plan-review-for-faster-approvals",
        "votes": 6,
        "created_at": "2026-01-26T21:00:55.911Z"
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    "id": 31131,
    "name": "Zatanna",
    "slug": "zatanna",
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    "website": "https://www.zatanna.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Zatanna creates APIs for software that doesn't have any, by reverse engineering back ends of web-based cloud and on-prem software. ",
    "one_liner": "Turning all software into agent-first APIs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1770919305,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/zatanna",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/zatanna.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/108413116/admin/dashboard/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
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        "user_id": 1805672,
        "full_name": "Tarun Vedula",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ zatanna | uw madison ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tarunvedula/",
        "x_url": "https://x.com/TarunVedula",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9edff7d3b9fc114c8752be393ec742bd85c5c606.jpg"
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      {
        "user_id": 2956000,
        "full_name": "Alex Blackwell",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Zatanna (w26). Prev at Pikkit bypassing anti-bots",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alex-blackwell-506228206/",
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      {
        "id": 98664,
        "title": "Zatanna | APIs for AI agents",
        "tagline": "Zatanna creates faster, cheaper, and more reliable APIs for AI agents",
        "body": "Hey YC!\n\nWe’re [Rithvik](https://www.linkedin.com/in/rithvik-vanga-0824a5225/), [Alex](https://www.linkedin.com/in/alex-blackwell-506228206/), and [Tarun](https://www.linkedin.com/in/tarunvedula/), the team behind [Zatanna](https://www.linkedin.com/company/usezatanna/).\n\n**TL;DR:** Today, most AI companies rely on slow, brittle, and unreliable computer-use agents to interact with software that has no API.  Zatanna solves this with faster, cheaper, and more reliable APIs for AI agents by reverse engineering requests and taking care of antibot infrastructure. \n\n[Video Link](https://www.youtube.com/watch?v=HUCOKVn-atM)\n\n**The Problem:**\n\nA huge amount of valuable business software still has no usable API. So when AI companies need their agents to interact with ERPs, PMS systems, portals, marketplaces, or other operational websites, they often fall back to browser automation.\n\nThat means the agent is stuck looking at screens, clicking buttons, waiting for pages to load, dealing with logins, handling UI changes, and breaking every time the workflow shifts. It is fine for showing that something is possible. It is terrible when the workflow actually matters.\n\nTeams end up spending an absurd amount of engineering time maintaining brittle browser automations instead of building product and serving customers.\n\n**The Solution:**\n\nZatanna runs these workflows at the request layer.\n\nWe observe how a workflow works once, reconstruct the underlying request sequence, and host it as a clean API that any agent can call. Instead of navigating a browser, the agent just hits an endpoint.\n\nThat makes the workflow:\n\n* faster\n* cheaper\n* more reliable\n* much easier to maintain at scale\n\nWe also handle the painful infrastructure required to keep these workflows alive in production:\n\n* session and credential management\n* request sequencing\n* proxy networks and traffic distribution\n* retries, monitoring, and recovery\n\nToday we’re already supporting customers where either throughput or reliability is mission-critical, from high-volume consumer platforms to operationally sensitive industries like logistics.\n\n**Where we’re seeing this most:**\n\n* ERPs like SAP\n* PMS / POS systems\n* insurance/benefits/claims portals\n* marketplaces(checkout flows)\n* operational websites with no APIs\n* basically anywhere the current solution is scraping or browser automation\n\n**Why we’re doing this:**\n\nWe started in vertical AI and ran into this problem ourselves. The model layer kept getting easier. Software access was the real bottleneck. A huge amount of engineering effort went into keeping integrations alive instead of improving the actual agent.\n\nSo we decided to build the thing we wished we had.\n\n**What we’re looking for:**\n\nIf you’re building something that depends on browser automation or computer-use agents for integrations, especially where reliability, speed, or cost matter, we’d love to take a look at the workflow.\n\nBook a call [here](https://zatanna.cal.com/tarun/30min?user=tarun&overlayCalendar=true) or email [**tarun@zatanna.ai**](mailto:tarun@zatanna.ai)",
        "url": "https://www.ycombinator.com/launches/PfM-zatanna-apis-for-ai-agents",
        "votes": 11,
        "created_at": "2026-03-10T17:01:30.330Z"
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    "id": 31132,
    "name": "MouseCat",
    "slug": "mousecat",
    "former_names": [
      "Agnostic"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/71e74a47767755403f90f1778ab3ab410649c82e.png",
    "website": "https://www.mousecat.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "MouseCat enables companies to detect suspicious activity, automate investigations, and act before the money leaves.\r\n\r\nWe work with Fortune 500 companies and startups to deploy real-time models and AI agents that reduce fraud, compliance incidents, and friction for good customers. ",
    "one_liner": "AI to fight financial crime",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1769108383,
    "tags": [
      "Compliance",
      "Fraud Detection"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/mousecat",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mousecat.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mousecat",
    "x_url": "https://x.com/MouseCatAI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/mousecat",
    "github_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 339225,
        "full_name": "Nicholas Aldridge",
        "title": "Founder/CEO",
        "founder_bio": "Nicholas Aldridge is the Co-Founder and CEO of MouseCat, and a core maintainer of MCP. He spent 6.5 years as a Principal Engineer at AWS AI, where he helped launch and lead Amazon Bedrock Knowledge Bases, Agents, and AgentCore. He also represented Amazon on the A2A steering committee. Nicholas has helped some of the largest and most security and privacy sensitive organizations in the world to plan and implement their AI strategies.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicholas-aldridge-341162a4/",
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      {
        "user_id": 730542,
        "full_name": "Joseph McAllister",
        "title": "Founder/CTO",
        "founder_bio": "Joseph McAllister is the Co-Founder and CTO of MouseCat. Before MouseCat, Joseph spent 4 years building systems that power every risk decision at Coinbase. He focused on streaming pipelines, large-scale data processing workloads, and improving ACH and ATO risk models. While studying Computer Science at Cornell University, he founded Roo Storage, which was acquired in 2020 by Handled (now UniGroup).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joseph-mcallister/",
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    "launches": [
      {
        "id": 98387,
        "title": "MouseCat 🐭🐱 AI-Powered Fraud Investigations",
        "tagline": "MouseCat does human-quality fraud investigation at scale",
        "body": "# **TL;DR**\n\n**MouseCat uses AI agents to do human-quality fraud investigation at scale**. MouseCat integrates with your proprietary data, learns from your feedback and past cases, and runs continuously, not just at transaction time.\n\n**Ask:** If you or someone you know is struggling with label quality or time-to-mitigation for new fraud trends, visit [mousecat.ai](http://mousecat.ai) to book a demo!\n\n<https://youtu.be/MLmW-pXIpEo>\n\n# **❌ The Problem**\n\nMost businesses rely on a combination of rules, traditional ML models, and manual review to stop fraud. This creates three major pain points. These systems:\n\n1. Adapt slowly to new fraud trends\n2. Are designed for point-in-time review and not continuous analysis of risk\n3. Result in a high number of false positives when patterns change, leading to lost revenue\n\nAs AI makes it easier to commit fraud, these gaps are leading to an explosion in losses.\n\n# **🐭🐱 Our Solution**\n\nMouseCat is dedicated to building the best AI platform for fraud investigation.\n\nMouseCat's agents conduct fraud investigation like a human would. They review internal case information, search for additional details from databases, APIs, etc., refer to prior cases for context, and distill the most important evidence needed to make a decision. MouseCat uses its insights to identify fraud rings and propose mitigations with new backtested rules/features.\n\nWith MouseCat, companies get:\n\n1. **Continuous Improvement:** Agents that continuously improve based on past cases and analyst feedback.\n2. **Continuous Review:** Post-transaction analysis to spot and mitigate fraud trends faster.\n3. **Custom Integration and Data Ownership:** On-prem deployments that integrate with customers’ existing data sources and APIs.\n\nPlus, MouseCat handles production hurdles like evaluation, monitoring, distributed failures / retries, and more.\\\n\\\nImagine if your best analyst could investigate every transaction...\n\n![uploaded image](/media/?type=post&id=98387&key=user_uploads/339225/c8837552-a055-4144-825d-68178cefa4b5)\n\n# **🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Can you introduce us to folks on fraud teams at banks / fintechs / marketplaces?\n* Are you leading a fraud team? You can book a demo at: [mousecat.ai](http://mousecat.ai).\n\n👉 Contact us at [hello@mousecat.ai](https://hello@mousecat.ai)\n\nYour help can make a huge difference. **Thank you!**\n\n# 👥 **Our Team**\n\nNick and Joe have been friends for six years and co-founded MouseCat earlier this year. They bring deep expertise in both AI and fraud detection systems.\\\n\\\nNick Aldridge (CEO) is one of nine Core Maintainers of the Model Context Protocol (MCP), and was a Principal Engineer at Amazon where he led products like Bedrock Knowledge Bases and AgentCore. Nick earned his BA/MS in Mathematics and Computer Science from the University of Chicago.\\\n\\\nJoseph McAllister (CTO) worked on ML infrastructure and fraud detection models at Coinbase, and he sold his first startup while studying CS at Cornell University.\n\n![uploaded image](/media/?type=post&id=98387&key=user_uploads/339225/9b2c6773-24cd-4502-806c-2776e434a183)\n\n",
        "url": "https://www.ycombinator.com/launches/Pat-mousecat-ai-powered-fraud-investigations",
        "votes": 20,
        "created_at": "2026-03-03T07:13:58.567Z"
      }
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    "id": 31133,
    "name": "Skillsync",
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    "website": "https://skillsync.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Skillsync gives you one place for everything your agents have ever done, and makes all of it portable. Move a full session between Claude Code, Cursor, Codex, and any other agent with nothing lost, including the entire conversation, the model's reasoning, and every tool call, not just a summary, so the next agent picks up like it was there the whole time. Because your sessions are portable, they stack up instead of disappearing. Every past session stays searchable and feeds your next agent automatically, so you never re-explain yourself or redo work you have already done. Everything stays on your machine and nothing leaves unless you choose to send it. Skillsync is local-first and yours, and its core engine, txcript, is open source, a portable session format that no single provider owns.",
    "one_liner": "Notion for AI chats",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1765356952,
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        "full_name": "Narayana Aaditya Ganeshkumar",
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        "founder_bio": "Co-founder & CEO of Skillsync. I helped take an open-source Rust project from zero to 30k+ GitHub stars and saw firsthand how many world-class engineers are hiding in the long tail of open source. My background is at the intersection of engineering, product, and organizational psychology. Software is a team sport and I'm building Skillsync to bring the best out of engineering teams!",
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        "linkedin_url": "https://www.linkedin.com/in/narayanaaaditya/",
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        "full_name": "Nishant Joshi",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder CTO @ SkillSync Inc. | Top 1% Rust dev. Went from building type-safe payment infra to people search. Now fixing how companies find engineers like me.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nishantjosh",
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      {
        "id": 112177,
        "title": "Skillsync: Move your context across every coding agent",
        "tagline": "Meet Skillsync, your context made portable across Claude Code, Cursor, Codex, and every agent you use.",
        "body": "👋 We're Nars and Nishant, founders of Skillsync (W26).\n\n**TL;DR:** Skillsync lets you move your context (sessions, memory, and skills) across every coding agent you use, with nothing lost. Start in Claude Code, continue in Codex, sync it with your team. Say it once; every agent &amp; teammate has it.\n\n![uploaded image](/media/?type=post&id=112177&key=user_uploads/2980881/daf33474-9f03-4b30-ae87-d2d5de4efb88)\n\nAI chats are annoying. Your context is trapped inside whatever agent you're using. You plan everything out in the Claude app, then open Claude Code to build, and none of that thinking comes with you. Switch from Claude Code to Cursor or Codex and it's the same story: you start from zero, re-explaining everything. And sharing your best skills with your team means zip files and Slack messages nobody can find.\n\nSkillsync is a **local-first desktop app** that frees your context from any single agent:\n\n* 🔁 **Move a session between agents with nothing lost**, including the full conversation, reasoning, and tool history.\n* 🧠 **KYC: Know Your Context.** Keep your skills and memory in one place, searchable from any agent via MCP.\n* 👥 **Sync your skills across your team**, edit once and everyone stays current. No zip files, no stale copies.\n\nEverything runs on your machine, so your context stays yours.\n\nWe spent years building open source payments infra that connected dozens of payment processors, and scaled it to 30k+ GitHub stars. Making all those systems talk to each other taught us what real interoperability takes.\n\n**One more thing…** \n\nThe hard part, the engine that translates sessions across different agent formats without losing anything, is **open source**. It's written in Rust and it's called **txcript:** <https://github.com/skillsynchq/txcript/>. Don't take our word for it: **read the code**.\n\nWe're on a mission to set your context free. If this resonates, try Skillsync at <https://skillsync.com>\n\nYou can also reach us at [founders@skillsync.com](mailto:founders@skillsync.com)\n\n![uploaded image](/media/?type=post&id=112177&key=user_uploads/2980881/15b075ff-755b-4bcc-8040-f3a9d58744ec)\n\n",
        "url": "https://www.ycombinator.com/launches/TBJ-skillsync-move-your-context-across-every-coding-agent",
        "votes": 7,
        "created_at": "2026-08-25T17:29:16.975Z"
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    "id": 31137,
    "name": "Luel",
    "slug": "luel",
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    "website": "https://luel.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Luel is a sourcing and licensing platform for rights-cleared multimodal training data at scale. We work with frontier AI teams to provide high-quality bespoke data collections and off-the-shelf datasets.",
    "one_liner": "Turning everyday words and actions into usable training data.",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1763965677,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/luel/",
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    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
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    "founders": [
      {
        "user_id": 3146480,
        "full_name": "William Namgyal",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO, Luel | Berkeley MET Dropout",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/william-namgyal",
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      },
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        "user_id": 3103486,
        "full_name": "Inigo Lenderking",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder & COO, Luel | Berkeley CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/inigolenderking/",
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      {
        "id": 97387,
        "title": "Luel: The Marketplace for Multimodal Data",
        "tagline": "Mobilizing Global Contributors to Curate High-Quality Datasets for Production AI",
        "body": "**William** and **Inigo** here - Co-Founders at **Luel (YC W26)**.\n\n**_Luel is a rights-cleared data marketplace + collection engine_**. Our difference is speed and edge cases: AI enterprises request datasets to spec, we mobilize a global contributor network, and deliver licensed, audit-ready data within days.\n\n[Luel Launch Video](https://www.youtube.com/watch?v=n_ByLVl38w8)\n\n**The Problem**\\\n\\\nFrontier labs have hit a wall: public web data is tapped out, synthetic-only pipelines risk degeneration, and the next generation of models needs **rights-cleared multimodal data** that doesn’t exist at scale.\n\n* Companies are spending huge budgets on generic, low-signal datasets from legacy vendors\n* The internet’s “easy data” is largely exhausted, what’s left is low-signal, repetitive, or messy\n* Most datasets fail production requirements: unclear rights, weak provenance, missing consent, inconsistent metadata\n\n**The Solution**\\\nLuel delivers **to-spec multimodal datasets** with clean provenance:\n\n* **Custom collections:** you specify exactly what you need; we scope, recruit, QA, and deliver\n* **Off-the-shelf licensing:** completed collections become ready-to-license catalogue datasets (ranging from patient-doctor conversations in south Asia to gemstone manufacturing footage for robotics)\n* **Rights trail included:** built for procurement + compliance from day one (consent evidence, chain-of-title, QA logs)\n\n**How it works**\n\n* AI teams submit a dataset spec (modality, scenario, instructions, devices, QA rules)\n* We post a listing and instantly match vetted contributors\n* Submissions run through multi-stage QA and are **delivered within days.**\n\n**The Team:**\n\n* **William Namgyal - CEO**\\\n  2x Founding Engineer, Berkeley M.E.T. Dropout\n* **Inigo Lenderking - COO**\\\n  Prev. Machine Learning Researcher, Berkeley CS Dropout\n\n**Our ask**\\\nIf you’re training multimodal / robotics / speech models and need data, we’d love to talk. Intros to heads of data, applied research, or model training teams = 🙏\n\n\\\n**Email: [william@luel.ai](mailto:william@luel.ai) / [inigo@luel.ai](mailto:inigo@luel.ai) / [founders@luel.ai](mailto:founders@luel.ai)**",
        "url": "https://www.ycombinator.com/launches/PKl-luel-the-marketplace-for-multimodal-data",
        "votes": 766,
        "created_at": "2026-02-02T21:25:05.680Z"
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    "id": 31138,
    "name": "Aemon",
    "slug": "aemon",
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    "website": "https://aemon.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Aemon is the first autonomous research engineer that delivers state-of-the-art solutions to your engineering problems. It generates, tests, and evolves thousands of approaches at machine speed to discover optimal solutions beyond what human experts can find.\r\n\r\nAemon already set a new world record on an NP-hard math optimization problem with <$10 of compute, beating the previous record set by Google DeepMind in 2025.\r\n\r\nRay and Richard (twin brothers) dropped out of UWaterloo and UIUC to build Aemon. They published at top AI conferences like ICLR and EMNLP before turning 20.",
    "one_liner": "The Forward-Deployed AI Research Engineer ",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1772053698,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/aemon",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aemon-ai/",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
      {
        "user_id": 1990817,
        "full_name": "Richard Zhou",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Aemon (YC W26). Waterloo CS dropout. International medalist in math & robotics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/-richard-zhou-/",
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      {
        "user_id": 3174521,
        "full_name": "Ray Xu",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Aemon (YC W26). UIUC CS dropout. Published at top AI conferences like ICLR and EMNLP before turning 20.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yifei-ray-xu/",
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    "jobs": [
      {
        "id": 97531,
        "title": "Member of Technical Staff Intern 2027",
        "url": "https://www.ycombinator.com/companies/aemon/jobs/1eLVh1X-member-of-technical-staff-intern-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$8K - $15K",
        "equity_range": "",
        "experience": null,
        "visa": "Will sponsor",
        "skills": [
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      },
      {
        "id": 111754,
        "title": "Member of Technical Staff (Research Engineering) ",
        "url": "https://www.ycombinator.com/companies/aemon/jobs/JrUC2Px-member-of-technical-staff-research-engineering",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$180K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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      {
        "id": 98200,
        "title": "Aemon — The AI R&D Engineer",
        "tagline": "Your next breakthrough. Found automatically.",
        "body": "# \\*\\*\\*\\*\n\nHi! We're Ray and Richard — twin brothers, and co-founders of [Aemon](https://aemon.ai/).\n\n## TL;DR\n\nAemon is an AI R&D engineer. Give it a problem and a way to measure success — it reads state-of-the-art research, then generates and evolves thousands of approaches at machine speed to discover optimal solutions, often going beyond what human experts can find.\n\nYou say: \"Here's my problem. Here's how I measure success. Beat the best known solution.\"\n\nAemon is already in the hands of R&D teams, discovering solutions that surpass their existing approaches.\n\nWe pointed Aemon at the circle packing problem — a classic NP-hard optimization challenge that mathematicians have worked on for decades.\n\n**Aemon set a new world record. With less than $10 of compute. (see below)**\n\n## 😖 The Problem\n\nGlobal R&D spend is $3.1 trillion a year. And every R&D problem has the same shape: you know what success looks like, but you don't know how to get there.\n\nToday, that means hiring R&D engineers to read and align papers, pick an approach, implement it, test it, and iterate — by hand. It's slow, it's expensive, and no matter how good your team is, they can only explore a tiny fraction of the solution space. That means the best solution is almost certainly out there, untested, because no human team has the bandwidth to find it.\n\nThis isn't a tooling problem. It's a search problem — and humans are the bottleneck.\n\n## 🤓 Our Solution\n\nAemon does what a world-class R&D engineer does — but at a scale no human team can match.\n\n* **Research synthesis** — Aemon reads state-of-the-art papers to understand what's been tried, what works, and where the frontier is.\n* **Autonomous evolution** — It generates and evolves thousands of approaches against your eval, exploring far more of the solution space than any human team could.\n* **Expert steerable** — Your team stays in control. A simple direction is all it takes to guide Aemon — constraining the solution space, prioritizing certain approaches, or steering away from dead ends. R&D gets faster and more precise, and Aemon fits into your existing R&D workflow.\n* **Beyond state-of-the-art results** — Aemon doesn't just match the best known solution. It looks for better ones — and finds them.\n\nThe result: solutions that are validated against your eval, benchmarked against the public state of the art. Your experts stay in the loop — Aemon just gives them superhuman reach. <https://youtu.be/YOswpdEcFUM>\n\n## 🥇 New Record\n\nWe pointed Aemon at the circle packing problem — a classic NP-hard optimization challenge that mathematicians have worked on for decades.\n\nAemon set a new world record. With less than $10 of compute.\n\nIt beat Google DeepMind's AlphaEvolve with fractional the cost.\n\nVerify it yourself using their official verifier (B.12, n=26): [\\[VERIFIER LINK\\]](https://colab.research.google.com/github/google-deepmind/alphaevolve_results/blob/master/mathematical_results.ipynb#scrollTo=v3kEu5yVeJ2h) | [Aemon’s Solution](https://aemon.ai/#:~:text=of%20compute-,View,-Aemon%27s%20solution)\n\n## Our Story\n\nWe're twins who've been working together our whole lives. We published at ICLR and EMNLP before turning 20, then dropped out of UWaterloo and UIUC to build Aemon full-time. There's a good story behind why we started this — too long for here, but ask us and we'll tell you.\n\n## 🙏 Our Ask\n\nIf you are, or know, any of the following, we'd love to talk:\n\n* CTOs, Heads of R&D, or engineering leaders evaluating whether to hire another R&D engineer or want to accelerate R&D.\n* Leadership at teams working on any problem where you have a clear eval but no clear path to the best solution\n* AI/ML teams trying to be and staying SOTA\n* computational teams in fields like quant, finance, biotech, logistics, or materials science where better algorithms directly drive business value\n\nPlease reach out to us at [founder@aemon.ai](mailto:founder@aemon.ai) or book a discovery call at [aemon.ai](http://aemon.ai)",
        "url": "https://www.ycombinator.com/launches/PXs-aemon-the-ai-r-d-engineer",
        "votes": 23,
        "created_at": "2026-02-26T00:04:45.721Z"
      }
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  },
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    "id": 31139,
    "name": "Ashr",
    "slug": "ashr",
    "former_names": [],
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    "all_locations": "San Francisco, CA, USA",
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        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/moritz/jobs/04MIt4f-founding-account-executive",
        "location": "New York, NY, US / San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $110K",
        "equity_range": "0.10% - 0.30%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 105320,
        "title": "Founding Product Designer",
        "url": "https://www.ycombinator.com/companies/moritz/jobs/SmndAaw-founding-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 0.30%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 110253,
        "title": "Founding Full-Stack Engineer ",
        "url": "https://www.ycombinator.com/companies/moritz/jobs/uJfcvR1-founding-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js",
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    "news": [
      {
        "title": "Y Combinator alum Moritz raises $9m to build a law firm supercharged with AI | Sifted",
        "url": "https://sifted.eu/articles/y-combinator-alum-moritz-raises-9m",
        "date": "May 05, 2026"
      },
      {
        "title": "AI-Powered Law Firm Moritz Secures $9 Million in Seed Funding - Business Insider",
        "url": "https://www.businessinsider.com/moritz-ai-law-firm-seed-funding-y-combinator-2026-5",
        "date": "May 04, 2026"
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    "launches": [
      {
        "id": 97011,
        "title": "Moritz: AI-native legal services for fast moving companies 👩🏻‍⚖️",
        "tagline": "We handle your legal work, with elite lawyers & same-day turnaround",
        "body": "We’re [Pamir](https://www.linkedin.com/in/pamirehsas/) and [Stefan](https://www.linkedin.com/in/stefan-mandaric/) - founders of [Moritz](http://moritzlegal.com/) 👋\n\n**TL;DR**\n\nMoritz provides AI-native legal services to fast moving companies. Our AI does 80% of the work, so you pay our lawyers only for the final 20%.\n\nLet us resolve your legal issues faster. We use elite startup lawyers and offer flat upfront pricing. Book a [demo](https://cal.com/riddhibajaj/moritz-discovery-call) or email [contact@moritzlegal.com](mailto:contact@moritzlegal.com).\n\n<https://youtu.be/Xg4SEuYoZK0>\n\n**🤯 The Problem**\n\nI’m a former outside counsel to OpenAI and even there – at a company with more money than most – I couldn’t believe how broken the legal experience was:\n\n* **Slow** - I often saw even simple cases get held up for weeks in legal\n* **Opaque billing** - companies never knew what something would cost until they got a giant bill a month later\n* **Not-AI native** - most lawyers would start each project from scratch, instead of taking advantage of AI\n\n**🤖+👩🏻‍⚖️= The Solution**\n\nMoritz is a new way of handling your legal work, one that merges top-tier lawyers with the power of AI. \n\nWe’ve built a bench of top-tier startup lawyers - folks from top schools (Harvard, Stanford, Oxford) and leading firms (Cooley, Goodwin, Fenwick). \n\nOur lawyers start with first drafts generated with AI, and then do final revisions, which ends up reducing the work by 80%. This means you pay less, but more importantly, your legal matters can often be handled same-day.  \n\n**No other law firm today offers this kind of speed.**\n\n## 🧐 **Why should you trust us?**\n\nWe’re founders serving other founders. In the past few months, we’ve helped 50+ companies across the US and Europe. \n\nBuilding a startup is hard, and hearing how we’re simplifying legal work for other founders has been the highlight of our journey:\n\n> Moritz delivered our MSA the same day for $750. They move at startup speed, understand our business, and keep costs founder-friendly\n\n\\- Chetan, YC-backed founder at Rhizome AI\n\n> Moritz delivered fast, actionable guidance on a complex corporate issue - exactly what I want from lawyers in the AI era\n\n\\- Perry, YC-backed founder at Arylla\n\n> Moritz lets us move fast without breaking things or worrying about legal risk\n\n\\- Saksham, YC-backed founder at Cardboard\n\n> Moritz delivered everything we needed to launch our product at a fraction of the costs from a BigLaw firm. They also uncovered mistakes in past legal work we’d received from other law firms.\n\n\\- Cathrine, founder at Nordic Brain Tech\n\n# 👩🏻‍💻 **How does it work?**\n\n**1. Forward to Moritz:** A contract lands in your inbox full of redlines. Or you need something drafted from scratch. No matter what it is, forward it to Moritz [here](https://app.moritzlegal.com/), with a description on what you’re trying to get done. \n\n**2. Upfront flat fee:** Before our lawyers start working, you’ll know exactly what it costs. No surprise bills, no opaque “we’ll see how long it takes”-disclaimers. \n\n**3. AI does the first 80%**: Our AI drafts the first pass, pulls relevant templates, playbooks, precedent data, industry data, your attachments and customer data. \n\n**4. A top startup lawyer reviews 20%:** An elite startup lawyer reviews, revises, answers your questions and applies judgment to your situation. This is the part you’re paying for. \n\n**5. Same-day turnaround:** Because the heavy lift is already done, we can often turn work same-day. \n\n**Slack-integration**: We can also plug into Slack and operate like your fractional general counsel - on call whenever you need us. \n\n## **🧑‍🤝‍🧑 Who we are and how you can help**\n\nPamir is lawyer and former outside counsel to OpenAI and Google, and Stefan is an AI engineer (ex-Fulbright at MIT). \n\nWe’re on a mission to build the legal services we always wanted, and we’d love for you to join the mission.\n\n* If you have an upcoming legal matter, we’d love to help. Book a demo [here](https://cal.com/pamire/30min) \n* If you know founders who’d benefit, please share this with them\n* If you can recommend any truly elite lawyers, we’d love an intro\n\n![uploaded image](/media/?type=post&id=97011&key=user_uploads/2551519/34e6ef9e-d7e4-4fd2-b816-f35d39e343e0)\n\n",
        "url": "https://www.ycombinator.com/launches/PEh-moritz-ai-native-legal-services-for-fast-moving-companies",
        "votes": 253,
        "created_at": "2026-01-21T15:34:32.847Z"
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    "id": 31147,
    "name": "Salus",
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    "website": "https://www.usesalus.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Your agent processed a refund without looking up the order ID, costing you thousands. You only found out three hours later from a support ticket. Evals, output scoring, and observability can reduce the likelihood of mistakes like these occurring - but there's no solution that inspects and prevents an action as it’s about to execute. Salus does that.\r\n\r\nWe’ve built an API that wraps around your agent and checks its actions at run time, blocking incorrect ones and providing immediate feedback to guide retries. ",
    "one_liner": "Guardrails to validate your agent's actions before they execute",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1770354850,
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    "batch": "Winter 2026",
    "status": "Active",
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      "Infrastructure"
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    "regions": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/salus",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/salus.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/salus-dev/",
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        "full_name": "Vedant Singh",
        "title": "Founder/CTO",
        "founder_bio": "Building to validate your AI agent's actions before they execute\n\nAI researcher and formerly @Stanford CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thevedantsingh/",
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        "title": "Founding GTM / BDR — AI Agent Infrastructure",
        "url": "https://www.ycombinator.com/companies/salus/jobs/S2nl2Hx-founding-gtm-bdr-ai-agent-infrastructure",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
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        "role_type": null,
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        "equity_range": "",
        "experience": "Any (new grads ok)",
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      {
        "id": 110168,
        "title": "Founding SWE / MLE",
        "url": "https://www.ycombinator.com/companies/salus/jobs/6xN06s6-founding-swe-mle",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$250K - $500K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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          "TypeScript",
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      {
        "id": 97574,
        "title": "Salus - Runtime guardrails that validate AI agent actions before they execute",
        "tagline": "Salus checks your agent's actions, blocking incorrect ones and providing feedback to guide retries",
        "body": "### **TL;DR:**\n\n**Salus is an API that wraps around your agent and checks its actions at runtime, blocking incorrect ones and providing immediate feedback to guide retries.**\n\nWe’re Kevin and Vedant, former roommates at Stanford who studied CS, now building Salus full-time.\n\n### 😔**The problem:** \n\nYour agent processed a refund without looking up the order, costing you thousands. It emailed your top lead using hallucinated data, ruining the deal. You only found out three hours later from a support ticket or an angry email.\n\nEvals, output scoring, and observability are all necessary—but all reactive. They can reduce the likelihood of these problems occurring, but there's no solution that inspects an action as it’s about to execute. Salus does that.\n\n**Ask:** If you are deploying agents and want to improve their correctness we’d love to help. Book a demo [here](https://calendly.com/d/cycy-fbc-fyj/salus-demo), and we can onboard you immediately with just a pip install and a few lines of code.\n\n### 💻 **Our Solution:** \n\n<https://youtu.be/uyl5NJTY5Cg>\n\n**How Salus validates an action:**\n\n1. Actions must be **grounded in evidence**: Salus maintains an evidence cache for each run that every proposed action is validated against. Evidence includes all outputs from prior tool calls and the entire conversation history.\n2. It must **adhere to policy**: Write constraints in YAML, markdown, or plain English. Salus compiles them into runtime checks that are version-controlled, diffable, and shadow-testable\n3. And **more**: PII detection, budget/loop protection, idempotency, human-in-the-loop escalation, content moderation\n\n**Self-repairing:** When Salus blocks an action, the agent receives structured feedback to guide a retry. In our benchmarks, **58%** of blocked actions recover and complete the task correctly.\n\n### 📊 **Benchmarks:** \n\nWe tested Salus on τ²-bench and ODCV-Bench. On τ²-bench, agents with Salus follow policies more reliably, at up to **60% lower cost**. On ODCV-Bench, Salus **reduced misalignment by 52%** on average across 12 frontier models (see below).\n\n![uploaded image](/media/?type=post&id=97574&key=user_uploads/1940292/e48b27f6-2e13-4d40-a9a4-13135ff981bc)\n\n### ➕ **Other Features:** \n\nWhile we believe the missing piece is runtime validation, we know **evals and observability** are crucial. That’s why we incorporate all three in **one centralized product**. Using templates and LLMs, we generate thousands of both adversarial and realistic evals that have full context of your agent’s domain.\n\nContact us: [founders@usesalus.ai](https://founders@usesalus.ai)\n\n![uploaded image](/media/?type=post&id=97574&key=user_uploads/1940292/cc3d0be7-941f-46ef-be8f-1294b9148073)\n\n",
        "url": "https://www.ycombinator.com/launches/PNm-salus-runtime-guardrails-that-validate-ai-agent-actions-before-they-execute",
        "votes": 30,
        "created_at": "2026-02-06T11:20:42.138Z"
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    "id": 31149,
    "name": "EigenPal",
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    "website": "https://www.eigenpal.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "EigenPal.com automates your document processing workflows with AI. KYC docs, invoices, claims, shipping forms, contracts, receipts, loan docs - we automate that. Works on messy scans, handwritten forms, third-party docs. Powerful workflow builder and team functionality. On-prem ready or use our cloud.",
    "one_liner": "AI Document Workflows for Enterprises",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1768698065,
    "tags": [],
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    "nonprofit": false,
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/eigenpal",
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        "full_name": "Matej Novak",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder @ EigenPal - automating enterprise document workflows with AI.\nMIT and Imperial London CS\n3 time founder of B2B AI companies",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/novak-matej/",
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      {
        "user_id": 2248119,
        "full_name": "Jedrzej Blaszyk",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder @ EigenPal - automating enterprise back-office with AI. Previously engineer at Elastic and Yelp. Imperial College London CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jedrzej-blaszyk/",
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        "id": 97202,
        "title": "EigenPal: AI Document Workflows",
        "tagline": "EigenPal automates enterprise document processes with AI",
        "body": "**TL;DR:** EigenPal automates your document processing workflows with AI. If you have humans reading documents and typing data into systems - KYC docs, invoices, claims, shipping forms, contracts, receipts - we replace that. Works on messy scans, handwritten forms, third-party docs. Beautiful workflow builder, testing, and team functionality. On-prem ready or use our cloud. Working with 2 large European banks on loan automations already.\n\nTry on: [**eigenpal.com**](http://eigenpal.com)\n\n**2 minute demo -** <https://www.youtube.com/watch?v=pEfhqhylS2Y>\n\n**What We Learned**\n\nWorking on back office document automation, we kept hearing the same questions:\n\n* _\"How do I know this workflow will actually work before I bet my ops on it?\"_\n* _\"I aim to have 100 workflows. How will I monitor them all?\"_\n* _\"Can this run in our cloud? Data can't leave our infrastructure.\"_\n* _\"Our files have contracts, amendments, and extensions that reference each other. Can you piece that together?\"_\n\nTraditional automation tools were built for deterministic processes and they're not designed for AI. AI is a game changer for document processing, but businesses still can't trust it at scale. Why? Evals and monitoring aren't built in. And most new platforms can't run on-prem.\n\n![uploaded image](/media/?type=post&id=97202&key=user_uploads/2221380/d651a1db-2002-456e-9c18-55d290083745)\n\n**The Solution: A Platform Where You Can Trust AI Workflows**\n\nEigenPal is built around one principle: like any employees you entrust work to, you need to trust your workflows before you deploy them and monitor them after.\n\n* **Agentic workflow builder.** Our AI workflow builder let’s you create workflows with easy in your natural language. It can even iterate on a workflow on a test dataset to tune accuracy.\n* **Eval-first.** Before any workflow goes live, test it against your historical documents. See exactly what accuracy you're getting. Deploy only when you're confident. **Set up a feedback loop in production** so workflows are adjusted with feedback.\n* **Document-centric.** Upload files directly, no public URLs needed. Built-in storage plus a powerful template filler to generate polished output docs from your extracted data.\n* **Configure everything.** Choose your OCR/VLM, LLM, configure every step of the pipeline separately. Access built-in tracing for workflows in our app or export via OpenTelemetry.\n* **Monitor hundreds of workflows at once.** One dashboard showing costs, compliance logs, and failures across every workflow. Know immediately when something drifts.\n* **Collaborate with your team.** Org workspaces let you share workflows, templates, and results with colleagues. Build once, use across your team.\n* **On-prem or cloud.** Runs in your infrastructure with your LLMs, or use our hosted version. Your choice.",
        "url": "https://www.ycombinator.com/launches/PHm-eigenpal-ai-document-workflows",
        "votes": 29,
        "created_at": "2026-01-27T01:39:14.623Z"
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    "id": 31151,
    "name": "Sparkles",
    "slug": "sparkles",
    "former_names": [
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    "website": "https://sparkles.dev",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Sparkles is like Lovable for existing projects, so even Sharon from Marketing can change the button styling on the front page without going back and forth with the dev team.\r\n\r\nSomeone technical connects their GitHub to Sparkles, sets up the repository and environment variables, and then anyone on the team with a @yourcompany.com email can log in on Sparkles and create pull requests without needing to know what Git is.",
    "one_liner": "Make everyone on your team an engineer",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1768436882,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "London",
    "country": "GB",
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    "founders": [
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        "user_id": 2590397,
        "full_name": "Ai Daniil Bekirov",
        "title": "Founder/CEO",
        "founder_bio": "20 | 🇺🇦\n\nI dropped out of University College London to build Sparkles (W26).\n\nPreviously worked at Iterate.com (founded by Jonas who was previously the co-founder and CTO of Monzo. Backed by OpenAI, Index etc.) and StructuredAI (F25)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aidaniilbekirov/",
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        "id": 107152,
        "title": "Founding Engineer (London)",
        "url": "https://www.ycombinator.com/companies/sparkles/jobs/ttwqpbX-founding-engineer-london",
        "location": "London, England, GB / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£100K - £150K GBP",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
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      },
      {
        "id": 107153,
        "title": "Founding GTM (London)",
        "url": "https://www.ycombinator.com/companies/sparkles/jobs/vDlglwX-founding-gtm-london",
        "location": "London, England, GB / San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "£70K - £100K GBP",
        "equity_range": "0.50% - 0.70%",
        "experience": "Any (new grads ok)",
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      {
        "id": 97488,
        "title": "Sparkles - Lovable for existing projects",
        "tagline": "Make everyone on your team an engineer ✨",
        "body": "Hey, I’m **Dan** - Founder of **Sparkles (W26)**\n\n![uploaded image](/media/?type=post&id=97488&key=user_uploads/2590397/2522ae4d-df6f-4327-bdf4-03a05bc9493b)\n\n**Sparkles is like Lovable for existing projects**, so even your hypothetical Sharon from Operations can change the button styling on the front page without going back and forth with the dev team.\n\n[Sparkles launch video](https://youtu.be/v6u7wlGYPIU)\n\n**The problem**\n\nIf you’ve ever tried onboarding a non-technical person onto Claude Code / Cursor / Codex, you’ve definitely heard at least one of these:\n\n* “I think I pushed the `.env` to GitHub… is that bad?”\n* “Terminal is asking for my password but nothing is showing—my keyboard broke.”\n* “It tells me to run `git push --force`… is that like a Star Wars thing ?”\n* “Do I run `npm install` every time I open the laptop?”\n\nThis is what happens when a non technical person interacts with the CLI and dev server. It is a non user friendly environment that takes time to learn.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=97488&key=user_uploads/2590397/943d834c-9a37-4152-b3ec-3c015f87bb9f)\n\nSparkles is a web platform that fully abstracts from local development. Your GTM/Designer/Marketing team don’t need to know what is git, what is a cli, what is a dev server etc. They will see a lovable-like UI with the preview and the chatbox, so they can ship the updates as fast as they can type ✨\n\nWhen someone makes a change on Sparkles they have an option to “upload” the changes, which essentially creates a Github PR for your engineer to review.\n\nWe are working on Enterprise level rulesets for PR creation, commit batching etc, so you don’t have to review thousands of PRs if you have a bigger team.\n\n**The Team**\n\n* Ai Daniil Bekirov - CEO\n\n  Legally AI. UCL dropout. Prev @ [iterate.com](http://iterate.com), StructuredAI (F25)\n\n**The ask**\n\nIf you want to cut down your backlog, or have non engineers who want to use cutting edge AI tools without the _steep_ learning curve, we’d love to talk. Intros to VPs of Operations, Marketing and Sales are appreciated 🙏\n\n**Email:** [dan@sparkles.dev](mailto:dan@sparkles.dev)\n\n![uploaded image](/media/?type=post&id=97488&key=user_uploads/2590397/84685a34-3e29-4220-a0d6-474197cc61ff)\n\n",
        "url": "https://www.ycombinator.com/launches/PMO-sparkles-lovable-for-existing-projects",
        "votes": 164,
        "created_at": "2026-02-04T07:27:06.748Z"
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    "id": 31152,
    "name": "Fern",
    "slug": "fern-bot",
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    "long_description": "Fern provides RL environments for robotics companies powered by a foundational world model. Companies can plug and play their robot policies completely in software with varying starting scenes of their production environment, and we'll produce RL heads on top of your existing policies to improve speed and success rate. Our customers get a continual learning flywheel where their production robots improve every week.",
    "one_liner": "RL environments for robotics companies",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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    "year_founded": 2025,
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    "linkedin_url": "https://www.linkedin.com/company/fernbot",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 2972207,
        "full_name": "Amit Yadav",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO at Ishiki Labs (W26). Previously: Research Scientist, first in LlaMA team training multimodal LLMs and then in Reality Labs at Meta training video assistant for smart glasses. PhD from Purdue University with 20+ publications at top conferences like CVPR, NeurIPS, and ICASSP",
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      {
        "user_id": 3201791,
        "full_name": "Robert Xu",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO of Ishiki Labs (W26). Previously worked on multi-modal AI and Orion AR glasses at Meta and research infra at Citadel Securities.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/robert-xu/",
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    "launches": [
      {
        "id": 97949,
        "title": "Fern – Realtime Socially Aware AI for Meetings",
        "tagline": "Fern joins every meeting as–either invisible copilot or active participant–so every conversation runs like a top 1% professional",
        "body": "**TL;DR**\\\n[Fern](https://www.ishikilabs.ai/download) is a realtime AI that joins your meetings as either an invisible copilot or an active participant– your choice! It realtime proactively coaches you through every conversation so you always show up like a top 1% professional.\n\nHey everyone, we're Amit and Robert, cofounders of Ishiki Labs.\n\n**The Problem**\n\n_“AI meeting assistant” has become synonymous with a note-taker waiting to summarize at the end. That's not a meeting assistant. That's a fancier transcript._ \n\nBuilding a realtime AI meeting copilot is hard in two distinct ways.\n\nThe invisible assistant must understand the live meeting context at blazing speed and surface the right thing at the right moment – questions to ask, things you're missing, who you're talking to. Timing is everything. Current AI is purely reactive. Making AI an active participant in discussion is even harder. AI has no social awareness – every pause becomes a prompt, every gap an invitation to speak.\n\nAI that is socially aware and proactive is an unsolved problem. That's what we're building.\n\nThe cost of this gap is real. Cofounders, AEs, recruiters, investors – in discovery calls, sales meetings, investor conversations. The moments that matter most, and AI is absent from all of them.\n\n**How Fern Solves it**\n\n[Fern](https://www.ishikilabs.ai/download) joins your meetings as a true participant or an invisible copilot – your choice. It has two modes:\n\n**Full Presence**: Fern joins visibly, listens, and speaks up when invited. It offers realtime opinions, deep research, and can complete tasks like filing notes or sending emails on the spot. Built for internal product, engineering, and strategy meetings. Watch the demo- <https://www.youtube.com/watch?v=vRJfZDUHvSY>\n\n**Shadow Mode**: Silent and invisible to everyone else. You get a private realtime feed: live summaries, questions to ask, things you're missing, context on who you're talking to. A sharp colleague whispering in your ear – with fully customizable insights. Built for client calls, investor meetings, and any conversation where you want invisible support.\n\nBoth modes include a post-meeting summary, transcript, and full insights.\n\n**Team**\n\nWe're both ex-Meta. Amit is an AI Scientist from LLaMA (now Meta Super Intelligence Lab) and Reality Labs – PhD in AI, 20+ publications at NeurIPS/CVPR, trained multimodal assistants for smart glasses. Robert was systems and infra lead in Reality Labs, with four years building low-latency multimodal systems at Meta and Citadel Securities. \n\nOur mission: make AI socially timed and contextually aware – so every conversation you have runs like a top 1% professional.\n\n**Our Ask**\n\nDownload [Fern](https://www.ishikilabs.ai/download) and if you're a founder or AE who lives in high-stakes conversations and don’t want to settle for AI note-takers, reach out: [team@ishikilabs.ai](mailto:team@ishikilabs.ai)",
        "url": "https://www.ycombinator.com/launches/PTp-fern-realtime-socially-aware-ai-for-meetings",
        "votes": 26,
        "created_at": "2026-02-19T15:09:16.569Z"
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    "id": 31153,
    "name": "Perfectly",
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    "website": "https://www.perfectly.so/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Perfectly is the first AI-native Recruiting OS.\r\n\r\nSince starting YC, we’re already helping top startups like Giga, Corgi, LlamaIndex, Porter, and dozens more hire faster.\r\n\r\nWe’re seeing:\r\n-> 4× faster hiring\r\n-> 10× candidate volume\r\n-> 2× higher interview pass rates\r\n\r\nBehind the scenes, it’s even more impressive:\r\n-> 20x higher recruiting efficiency: from 20 hours to 1 hour\r\n-> 250% higher candidate interview retention\r\n\r\nWe automate the entire recruiting function: sourcing, outreach, screening, and qualification. Interview ready candidates just show up in Slack. \r\n\r\nWe recently launched our recruiting agent Paul that provides each candidate white glove treatment so they're closed even before your offer call\r\n\r\nHiring should work like a recommendation system.\r\n\r\nLearn more now at perfectly.so\r\n",
    "one_liner": "The AI-native Recruiting OS",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1768534230,
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    "nonprofit": false,
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/perfectly",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/perfectly.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hireperfectly",
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      "name": "Tyler Bosmeny",
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      {
        "user_id": 179090,
        "full_name": "Victor Luo",
        "title": "Founder/CEO",
        "founder_bio": "I help startups hire 11x engineers\n2x founder | ex-ML Scientist at TikTok",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/victor-luo",
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        "full_name": "Zhuang (Gary) Luo",
        "title": "Founder/CTO",
        "founder_bio": "Building an AI-native recruiting platform\nex-MLE at Meta and TikTok",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zhuang-luo/",
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      {
        "user_id": 2976285,
        "full_name": "Huimin Xie",
        "title": "Founder",
        "founder_bio": "ex-Tech lead & Senior MLE at TikTok",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/huimin-xie/",
        "x_url": "https://x.com/WeymanX15075",
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      {
        "id": 97008,
        "title": "Hire with Perfectly✨: Your AI Recruiting Agency",
        "tagline": "We fill roles in days. Let Perfectly send you 10x the candidates and double your interview pass through rate",
        "body": "Hi, we’re [Victor](https://www.linkedin.com/in/victor-luo/) and [Gary](https://www.linkedin.com/in/zhuang-luo/) - cofounders of Perfectly👋\n\nPerfectly uses AI to fill roles by automating the grunt work of identifying, reaching out to, and screening qualified candidates. We are obsessed with one thing – **providing the highest quality candidates**.\n\n**Launch Exclusive Offer: We’ll undercut your current agency by 50%** for your first role (or give you an exclusive discount), while filling your pipeline with BETTER candidates - all in the same day. Just mention YC Launch in your onboarding call.\n\nBook a demo [here](https://calendly.com/victor-perfectly/30min).\n\nLaunch Video: <https://www.youtube.com/watch?v=KaQCbD6UxwU>\n\n**How We Started:**\n\nHave you ever tried to fill a role with a recruiting agency? When we worked at TikTok, we sat through over 800 agency-sourced interviews. The pipelines moved slowly, the candidates were never top tier, and forget about filling any tough roles – most recruiters would rather ghost me. \n\nAfter working at TikTok on the world’s most advanced AI recommendation, we couldn’t believe how outdated our recruiting process was in comparison. \n\n**Our Solution:**\n\nOur AI Recruiter has infinite memory and context to calibrate to your preferences deeper than any agency ever could.\n\n![uploaded image](/media/?type=post&id=97008&key=user_uploads/179090/8a1d922c-db08-4710-9903-4e07a7664f8e)\n\nWe do deep research into each candidate. Beyond surface level experience, it predicts their interests, trajectory, and how they’ll actually do in the interviews and on the job.\n\nThen we’ll reach out and screen the best candidates, and they show up straight in your Slack.\n\n![uploaded image](/media/?type=post&id=97008&key=user_uploads/179090/1ffb94ec-86ff-4e8e-9b12-f4adf09f4c46)\n\nWhen you approve, we’ll send them your calendar link to schedule an interview directly.\n\n![uploaded image](/media/?type=post&id=97008&key=user_uploads/179090/06c50a8d-035c-4ca4-87a9-f96738f27be7)\n\nWe only get paid when we fill your role. Often, **we can fill your interviewing schedule the same day as your intake**. The most amazing thing is that we can do this while keeping the quality bar high. Customers tell us that Perfectly’s candidates pass interviews 2x more often, and with 10x the volume of a traditional agency.\n\n**Why You Should Trust Us:**\n\nIt’s working so well, one of our clients fired all their other agencies two weeks into using us.\n\n> We moved off Paraform and canceled our Juicebox subscription because of the velocity we saw from Perfectly - Caleb from Series A Stealth Startup\n\n**Launch Exclusive Offer:**\n\nGive Perfectly a try. **We’ll undercut your current agency by 50%** for your first role, while filling your pipeline with BETTER candidates - all in the same day.\n\nIf you don’t currently use an agency but want to try, we’re offering a YC Launch exclusive discount. Just mention YC Launch in your onboarding call.\n\nBook a demo [here](https://calendly.com/victor-perfectly/30min).\n\n![uploaded image](/media/?type=post&id=97008&key=user_uploads/179090/bb395a9b-579a-40de-809e-caa7bf81d9ea)\n\n",
        "url": "https://www.ycombinator.com/launches/PEe-hire-with-perfectly-your-ai-recruiting-agency",
        "votes": 26,
        "created_at": "2026-01-21T15:44:58.964Z"
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    "id": 31154,
    "name": "Orthogonal",
    "slug": "orthogonal",
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    "website": "https://orthogonal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "APIs weren't built for agents. Orthogonal fixes that. We enable agentic payments so any agent can instantly discover, access, and pay for hundreds of APIs. No subscriptions, no sales calls, just pay per use. API providers list once and get paid every time an agent calls their API.",
    "one_liner": "Agentic Payments for APIs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1769466101,
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    "url": "https://www.ycombinator.com/companies/orthogonal",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/orthogonal.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/orthogonalsh",
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        "user_id": 334152,
        "full_name": "Christian Pickett",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder @ Orthogonal - Agentic Payments for APIs\nPrev. Vercel & Coinbase",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/christian-pickett",
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      {
        "user_id": 1380929,
        "full_name": "Bera Sogut",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder @ Orthogonal - Agentic Payments for APIs\n2x ACM ICPC World Finalist | Prev. Google, Amazon Robotics",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/berasogut",
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      {
        "id": 114623,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/orthogonal/jobs/aExdocL-senior-software-engineer",
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        "id": 115415,
        "title": "Growth Lead",
        "url": "https://www.ycombinator.com/companies/orthogonal/jobs/hnvSlmj-growth-lead",
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        "id": 115416,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/orthogonal/jobs/30qoV7B-design-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "Any (new grads ok)",
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    "news": [
      {
        "title": "Orthogonal Is Betting the Agent Economy Needs Better Infrastructure, Not Just Better Models - TheStreet Crypto: Bitcoin and cryptocurrency news, advice, analysis and more",
        "url": "https://www.thestreet.com/crypto/newsroom/orthogonal-is-betting-the-agent-economy-needs-better-infrastructure",
        "date": "Jun 25, 2026"
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    ],
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      {
        "id": 97308,
        "title": "Orthogonal - Agentic Payments for APIs",
        "tagline": "APIs weren’t built for agents, we fixed that.",
        "body": "**TL;DR:** APIs weren’t built for agents, we fixed that. Developers and agents get instant access to hundreds of APIs through our MCP or SDK. No key management, no billing headaches, pay as you go. API providers list once and become instantly discoverable. \n\n_Ask:_ We’d love an intro to teams building agents to understand how they’re handling paid APIs today. Contact us at [founders@orthogonal.com](mailto:founders@orthogonal.com)\n\n<https://www.youtube.com/watch?v=CixNTItWDjI>\n\n**The Problem:**\n\nAI agents are about to become the biggest consumers of APIs on the internet. But they struggle to access tools.\n\nMCP helped standardize tool calling, but created fragmentation. Some services have MCPs, others don't. Some map to single APIs, others wrap entire workflows. Agents end up with 30+ tools, bloating context.\n\nWorse, any MCP requiring identity or payment means managing accounts, API keys, billing, and auth across dozens of services. And most APIs don't even have MCPs.\n\nYou could have your agent find APIs, sign up, handle auth, and buy credits, but the failure rate is high. The entire API economy was built for humans.\n\nMeanwhile, API providers are leaving money on the table. Billions of agents could be paying for their APIs right now, but they have no way to find or transact with them.\n\nThese APIs are locked behind API keys and human payment methods, which agents do not have access to.\n\n**The Solution:**\n\nOrthogonal is where agents go to find and pay for APIs.\n\n**For AI Agents and Developers:**\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/4a24efb7-cfff-4dec-88fb-5b3afaba2dc7)\n\n* Add our MCP to your agent for instant access to hundreds of paid APIs\n* Or use our SDK as a single, unified gateway to those APIs\n* You purchase Orthogonal credits, and we handle paying the APIs\n* Natural language search: \"I need an API to get Garry Tan’s latest tweets\"\n* No context bloat, no API keys to manage, no billing relationships to maintain\n* We can handle rate limits, retries, and dynamic routing\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/10cc2d87-3e65-4897-bdd7-c047d3393b38)\n\n**For API Providers:**\n\n* List your API once, and it's instantly discoverable by every AI agent and developer using our platform\n* Get paid per request. No subscriptions, no invoices, no payment disputes\n* Set your own prices, including dynamic pricing\n* We also enable x402 on your APIs\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/29c9cec0-f260-446b-9d88-9ee284642bdb)\n\nWe're starting with **Search, Scraping, Datasets, and AI Model APIs**.\n\n**About Us:**\n\nWe're Christian and Bera. We met at McGill and have been close friends ever since. Christian worked on payments at Coinbase and billing at Vercel. Bera worked on reCAPTCHA and Maps APIs at Google. Between the two of us, we've lived in payments and API infrastructure, and this problem sits right at the intersection.\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/cd2b5a57-5b00-45f0-aeb8-bb15a3e7bc2e)\n\n**The Ask:**\n\n* Intros to teams building AI agents that need easy access to paid services\n* Intros to teams managing APIs across many platforms who'd love to unify them\n\nIf you are a developer or have agents, sign up to get $10 of credits towards API usage : <https://www.orthogonal.com>\n\nWe appreciate our early believers: Precip (YC W24), Riveter (YC F24), Andi (YC W22), Shofo (YC W26), Fiber AI (YC S23), Sixtyfour (YC X25), Olostep, ScrapeGraph, Linkup\n\n**Find us:**\n\nWebsite: <https://www.orthogonal.com/>\n\nLinkedin: <https://www.linkedin.com/company/orthogonalsh>\n\nX: <https://x.com/orthogonal_sh>",
        "url": "https://www.ycombinator.com/launches/PJU-orthogonal-agentic-payments-for-apis",
        "votes": 31,
        "created_at": "2026-01-29T23:34:27.018Z"
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    "id": 31155,
    "name": "Q2Q",
    "slug": "q2q",
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    "website": "https://www.tryq2q.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Q2Q is the AI-native outbound engine for deal sourcing. Tell us the types of companies you want to buy, and we'll get qualified meetings booked for you. \r\n\r\nYou can think of Q2Q as your personal team of AI interns. You give us your buying criteria, and we'll go out and find companies, write personalized emails, and get first calls booked with business owners for you. As the human in the loop, you'll approve messages before we send. Q2Q handles the sourcing work so you can focus on evaluating great deals.",
    "one_liner": "We help private equity teams find acquisition targets faster",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1768420792,
    "tags": [
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      "SaaS",
      "B2B",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Inactive",
    "industries": [
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      "Finance and Accounting"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/q2q",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/q2q.json",
    "year_founded": null,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/q2q-ai",
    "x_url": "https://x.com/tryq2q",
    "fb_url": null,
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6c42d7cabd8a666e0d6369ef40a058fca967f90.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 3082094,
        "full_name": "Brianna Lin",
        "title": "Founder",
        "founder_bio": "Co-Founder & COO @ Copperlane | UPenn M&T",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/brianna-lin/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e148d2875818d32cc7e0c320484c5f1107da51b8.jpg"
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    "id": 31159,
    "name": "Sponge",
    "slug": "sponge",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2da61e6033e85414e184773d09708a6cc75a2479.png",
    "website": "https://paysponge.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sponge is the easiest way for agents to hold and spend money, and for businesses to sell directly to them.\r\n\r\nFor agents: Sponge lets agents hold funds and transact autonomously with other agents and businesses using bank accounts, cards, and crypto. Agents can autonomously purchase services such as email, browser use, and premium data without human involvement.\r\n\r\nFor businesses: Sponge makes it easy to onboard and accept payments from agents without human interaction. Businesses can sell their services directly to agents with a few clicks, no code changes required.",
    "one_liner": "Financial infrastructure for the agent economy",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1771280774,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sponge",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/sponge.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/paysponge",
    "x_url": "https://x.com/paysponge",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 3141366,
        "full_name": "Eric Zhang",
        "title": "Founder",
        "founder_bio": "Co-founder Sponge (YC W26). Ex-Stripe Crypto.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ericzhang98",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbc17776e1b229c0aae1cb4ccc9ca36c01746691.jpg"
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      {
        "user_id": 3152529,
        "full_name": "Jae Choi",
        "title": "Founder",
        "founder_bio": "Co-founder Sponge (YC W26). Ex-Stripe Crypto.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jaekyongchoi/",
        "x_url": "",
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      },
      {
        "user_id": 300418,
        "full_name": "Rishab Luthra",
        "title": "Founder",
        "founder_bio": "Co-founder Sponge (YC W26). Ex-Stripe Crypto.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rishabluthra",
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    "launches": [
      {
        "id": 97911,
        "title": "Sponge: Financial infrastructure for the agent economy",
        "tagline": "The easiest way for agents to hold and spend money, and for businesses to sell directly to them",
        "body": "**TLDR**: \n\nSponge gives agents access to bank accounts, cards, and crypto so they can operate as **independent economic actors**. Sponge enables businesses to sell directly to agents **without human involvement**.\n\n<https://www.youtube.com/watch?v=9Db70ieMYkA>\n\n**The Problem:**\n\nLong-running agents are starting to handle complex tasks entirely on their own. They can plan, execute, and complete multi-step workflows without human intervention. But that autonomy ends the moment a payment is involved, because transactions still require a human to manually enter payment details and authorize the charge.\n\n**The Solution:**\n\nTo solve this, Sponge built infrastructure that lets agents handle payments on their own.\n\n**Sponge Wallet** enables agents to sign up and pay for services without human involvement. Users fund their wallet once, and agents autonomously use those funds to pay for what it needs.\n\n![uploaded image](/media/?type=post&id=97911&key=user_uploads/300418/a9904dc0-f667-4060-9697-e78f4a955155)\n\n**Sponge Gateway** enables businesses to sell directly to agents. Businesses can upload their API spec and allow agents to onboard and pay for usage autonomously, without requiring a human to give a credit card or an API key. No code changes required.\n\n![uploaded image](/media/?type=post&id=97911&key=user_uploads/300418/0c13e43e-b0b7-4400-9c8c-79408aa9eaba)\n\nAs agents become increasingly autonomous and begin making decisions on their own, they need financial primitives to operate like humans. We’re building the infrastructure that makes this possible.\n\n**Our Ask:**\n\nIf you use agents (such as OpenClaw), add our [wallet skill](https://sponge.md) to let them sign up and pay for services autonomously. If you're a business, upload your API spec to [gateway.paysponge.com](http://gateway.paysponge.com) to start onboarding agents and selling to them directly, without human involvement.\n\n**The Team:**\n\nWe're a team of ex-Stripe tech leads that built Stripe's stablecoin financial accounts, stablecoin payments and core money movement systems for humans. We are now bringing those learnings to build out the financial infrastructure for the next economic actors: agents.\n\n**To give your agent an account or to sell to agents, visit [paysponge.com](http://paysponge.com) or contact [team@paysponge.com](mailto:team@paysponge.com).**",
        "url": "https://www.ycombinator.com/launches/PTD-sponge-financial-infrastructure-for-the-agent-economy",
        "votes": 31,
        "created_at": "2026-02-17T21:40:55.729Z"
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    "id": 31161,
    "name": "Rapidfolio",
    "slug": "rapidfolio",
    "former_names": [],
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    "website": "https://rapidfolio.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rapidfolio helps banks and fintechs fully automate back-office workflows like fraud investigations, KYB/KYC and loan underwriting, with accuracy and auditability.\r\n\r\nBuilt by fintech founders and operators, Rapidfolio is on a mission to ensure banks and fintechs scale their customer base without adding another back-office head count.",
    "one_liner": "AI-native back-office for banks and fintechs",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1784234137,
    "tags": [
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      "SaaS",
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      "Automation",
      "AI"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2026",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/rapidfolio",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rapidfolio.json",
    "year_founded": null,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rapid-folio/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 334623,
        "full_name": "Naveen Qureshi",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO Rapidfolio, AI for fintechs and banks.\nPrev: co-founder & CEO of Sable (S19), a consumer fintech that I built, scaled to few hundred thousand accounts and sold.\nOn a mission to help banks and fintechs grow their customer base without adding another back-office headcount. Ex Capital One, Amazon, Target. Columbia Business School.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/naveen-qureshi",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35caac9e4b831d4e37de25f7c777c368e27cc364.jpg"
      },
      {
        "user_id": 2636714,
        "full_name": "Frederik Vanhevel",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at Rapidfolio (S26), where we use AI to automate the most complex financial processes with self-evolving, always-compliant, fully-auditable workflows no one else is building. Previously built two banks from scratch: founding engineer at Sable (S19, shipped in a record 3 months, pre-AI) and Seen, where I rebuilt the entire infra for the Snap Finance acquisition, built the credit decisioning engine and scaled to serve hundreds of thousands of customers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/frederik-vanhevel/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0da9e1bb6735ce1052d2b98eff490d3b95bfe76a.jpg"
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      {
        "id": 106986,
        "title": "Rapidfolio - AI Platform for Compliance, Operations, Risk & Fraud for Fintechs and Banks 🏦",
        "tagline": "AI for banks and fintechs",
        "body": "Hi everyone 👋\\\nWe're [Naveen](https://www.linkedin.com/in/naveen-qureshi) &amp; [Frederik](https://www.linkedin.com/in/frederik-vanhevel/), fintech founders and operators building [Rapidfolio](https://rapidfolio.com/).\\\n\\\n**TL;DR:** Rapidfolio automates the most complex manual compliance, operations, and fraud processes that analysts perform at fintechs and banks today. We do this with 100% accuracy, speed, and auditability. We are previous founders and operators in fintech, and created Rapidfolio because we wished it existed when we were running Sable (S19).\\\n\\\n**Video:**\\\n<https://www.youtube.com/watch?v=0UBIfRhNh08>\n\n\\\n**Our Ask:**\\\n**If you are a founder or operator at a fintech** **or bank** **who**\\\ni) has a pressing need to automate manual tasks due to high volume and/or,\\\nii) needs to decrease the amount you spend annually on back-office staff or\\\niii) you simply want to build solid automation to decrease human error\\\nReach out directly: [founders@rapidfolio.com](mailto:founders@rapidfolio.com) or book a demo: <https://cal.com/naveen-qureshi/demo>\n\n**——————-**\n\n**The Problem** \n\nFintechs and banks spend up to **30% of their revenue** on operations, compliance, risk and fraud back-office staff. The back-office performs manual processes like KYC and KYB reviews, OFAC/sanctions/watchlist reviews, fraud investigations, disputes and chargebacks, mortgage and loan underwriting, and sometimes even manual data input workflows, among others. The back-office scales as a function of the number of accounts held at the fintech/bank and quickly becomes extremely costly, time consuming, and error prone. \n\nFrederik and I lived this problem firsthand. **We started Rapidfolio because we wished it existed when we were running Sable (S19)!**\n\n**Our Solution** \n\nRapidfolio turns manual compliance, operations, risk and fraud processes into accurate, auditable, and automated flows. We’re running at **100% accuracy** in production. We provide the **end to end platform and services** to:\n\n**1. Convert your existing procedure** into deterministic, automated, workflows in minutes.\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/8df4940f-c6ec-41e1-a6a5-4ccd6476667b)\n\n**2.** We generate dozens of **test cases**, including edge cases, and fully test the workflow.\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/940aa8f9-9728-47ef-9a5c-81648c0b28b8)\n\n**3.** Once tested, you can **trigger the workflow** to run it in whichever way you prefer - be it API, our scheduler, a JIRA ticket.\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/2ee48bae-3d66-487c-9e70-9ab859eb0b02)\n\n**4. You have full visibility and control:** all workflows are version controlled, and each action is auditable and traceable. You can include humans-in-the-loop where needed. All analytics live directly in your dashboard.\n\nRapidfolio provides “innate abilities” like automated web browsing, document reading/analysis, comprehensive summaries, human-level judgment, to name a few. Additionally, Rapidfolio integrates easily into your **existing tech stack**. We have built-in integrations with leadings operations, compliance and fraud vendors in the financial services industry.\n\nWe are SOC 2 compliant, and are **live with customers across the U.S. and Canada.**\n\n\\\n**The Team:**\n\n**Naveen Qureshi:** CEO and co-founder, Rapidfolio\\\nPreviously was co-founder &amp; CEO of Sable (S19) that I built, scaled and sold. After Sable’s exit, I built and launched additional credit products with [Seen.com](http://Seen.com). Ex Capital One, Amazon, Target. Columbia Business School.\\\n\\\n**Frederik Vanhevel:** CTO and co-founder, Rapidfolio\\\nPreviously built the entire banking stack for two fintechs from scratch. First, as founding engineer at Sable (S19), where he shipped the entire banking stack in a record 3 months, pre-AI. And after Sable’s exit, with Seen.com. Fred also built internal tools for back-office staff at both fintechs, and is passionate about automating the more tedious workflows with Rapidfolio.\\\n\\\nReach out directly: [founders@rapidfolio.com](mailto:founders@rapidfolio.com) or book a demo: <https://cal.com/naveen-qureshi/demo>\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/a7390ea6-c745-4d74-9505-8a42ee86603c)\n\n",
        "url": "https://www.ycombinator.com/launches/Rpa-rapidfolio-ai-platform-for-compliance-operations-risk-fraud-for-fintechs-and-banks",
        "votes": 28,
        "created_at": "2026-07-23T18:42:29.801Z"
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  {
    "id": 31162,
    "name": "Confluence Labs",
    "slug": "confluence-labs",
    "former_names": [
      "Vector Labs",
      "Confluence Labs",
      "Vector Labs"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3d31397146f8b236b2aea89ba80b15e787f9ad4.png",
    "website": "https://confluence.sh",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "While modern AI excels in any area you can collect a lot of data for, it struggles in areas where data is sparse or costly to attain. Designing new molecules, discovering new physics, and engineering new materials are all domains where collecting data is extremely costly. \r\n\r\nWe dream of a world where AI accelerates research in all of these domains and creates a more abundant future for humanity, but the current technology is not there. That’s why we started Confluence Labs. \r\n\r\nWe are building AI that can design highly effective experiments in data-sparse domains and learn maximally from the data it already has.",
    "one_liner": "AI models that learn from experience",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1771724903,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/confluence-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/confluence-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/confluence-labs/",
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        "title": "Confluence Labs: an AI research lab focused on learning efficiency",
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        "body": "Confluence Labs is coming out of stealth with **SOTA on ARC-AGI-2** with a score of **97.9%** at \\~$12 per task on the public eval. This is how we did it, why it matters, and what's next.\n\nARC-AGI-2 is a benchmark that tests an AI system's ability to solve novel reasoning tasks from just a few examples. It's considered one of the hardest AI benchmarks in the world. As recently as a year ago, even the best models scored in the single digits.\n\n![uploaded image](/media/?type=post&id=98111&key=user_uploads/1164255/2f4e4c89-6f96-48ca-93ea-a84eccc15092)\n\nWe've open sourced our SOTA solver. You can reproduce our results here: <https://github.com/confluence-labs/arc-agi-2>.\n\n**Our Approach – Program Synthesis driven by LLMs**\n\nLLMs are exceedingly good at writing code. We take the latest models and allow them to find the optimal solution by directing them to write code which describes the transformation represented by a particular ARC problem.\n\nThe principles of our approach can be boiled down to a few key ideas:\n\n1\\. Structure the problem such that it optimally resembles the underlying LLM's training data\n\n2\\. Enable long-horizon work on the problem so a model can continue to build on its past work\n\n3\\. Precisely structure the criteria of the solution and give the model a way to measure that\n\n**ARC-AGI-2 is Saturated – What Does This Mean for the World?**\n\nARC is a data efficiency benchmark. It measures how well you can make a prediction based on a few examples. Typical approaches to ARC-AGI have struggled because modern ML excels in areas where you can collect a lot of training data, but struggles in areas where data is sparse or costly to attain.\n\nWe think LLMs can be used in combination with discrete modeling to assist humans in data-sparse domains. We're most excited about the application of this to meaningful and challenging frontiers such as hardware engineering, drug design, and physics research.\n\n**What Does This Mean for Us?**\n\nOur core belief is that learning efficiency is the key bottleneck to solving the world's hardest problems. We think AI can help in data-sparse domains, and we're approaching this from 2 angles:\n\n1\\. **Hypothesis generation** – A hypothesis is a testable prediction about the world. If you optimally generate hypotheses, the results of your experiments are maximally informative, and you can reduce the time it takes to develop a new technology or solve a hard problem.\n\n2\\. **Data-Efficient Modeling** – By pushing the capabilities of both LLMs and discrete program search, we can make predictions with far less data and accelerate frontier research.\n\n**What's Next?**\n\nWe're going hard on developing our core technology, building out the team, and developing partnerships with researchers and engineers. We're looking for collaborators in hardware engineering, biology, materials science, and other fields where progress is gated by the cost of physical experiments. If that sounds like you or someone you know, reach out at [founders@confluence.sh](mailto:founders@confluence.sh).",
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        "founder_bio": "CAIO @ compresr.ai. On a mission to make every token count | EPFL CS | prev UBS",
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        "title": "Compresr – context compression for LLM pipelines and agents 🗜️",
        "tagline": "Cut token spend, reduce latency, boost generation quality. ",
        "body": "# **TL;DR**\n\n**We help you boost context management with 100x compression. Use Compresr SDK to add compression to your LLM pipelines, and improve agentic workflows with our open-source compression proxy (works with Claude Code and OpenClaw).**\n\n<https://youtu.be/QAk4MBMHWQQ?si=3DrkVwhK_JrClSU1>\n\nDid you ever struggle to fit all relevant context into the model’s window – only to see the model failing to grasp it? Waited for Claude Code to finish yet another 3-minute compaction session? Got surprised with the OpenClaw bills?\n\nCompresr is on a mission to make you forget about managing long model/agent’s context. With our API, you can reduce long context to the essentials the model needs for any given request – making its generation better, faster, and cheaper.\n\nWe also care deeply about seamless and simple integration into the agentic workflows. Our open-sourced proxy takes a minute to set-up, and optimizes your Claude Code / OpenClaw context from the moment you finish installation. You will experience no change apart from better performance and smaller bills.\n\n![uploaded image](/media/?type=post&id=98164&key=user_uploads/2535816/90e4891b-b976-4a28-b17f-38a4906eb11c)\n\n**Our ask:** \n\n1. If you use Claude Code, Codex, or OpenClaw, try out our compression-enabling proxy and let us know what you think!\n2. If you build LLM pipelines involving long context – let’s chat!\n\nMake every token count.",
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    "long_description": "AI SRE agents that automatically learn each customer’s system so they work just like an in-house engineer.",
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        "full_name": "Jimmy Wei",
        "title": "Founder/CEO",
        "founder_bio": " Chiehmin (Jimmy) Wei is a co-founder of IncidentFox. Before IncidentFox, Jimmy was a software engineer at Roblox, where he architected a real-time communication feature reaching 11.7M+ users, and at Facebook AI Research (FAIR), where he built conversational AI infrastructure and set new research baselines with Transformer models. He holds an M.S. from Cornell University and a B.S. in Computer Science from Bucknell University.",
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        "full_name": "Long Yi",
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        "founder_bio": "Long Yi is the co-founder of IncidentFox, an AI-powered SRE platform for automated incident investigation and infrastructure management.\nPreviously, he built large-scale distributed systems at Roblox, managing database and search infrastructure handling over 1.5 million queries per second. \nHe holds a B.S. from Brandeis University, where he conducted research in audiovisual signal processing and neural modeling.",
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        "id": 97928,
        "title": "IncidentFox. The AI SRE who never drops context.",
        "tagline": "Auto-learns your stack, builds its own integrations, and gets smarter after every incident.",
        "body": "Hey everyone 👋\n\nWe're [Long](https://www.linkedin.com/in/long-yi-b221b2183/) and [Jimmy](https://www.linkedin.com/in/chiehmin-wei/) — co-founders of IncidentFox.\n\n**TL;DR**\n\nAI SRE tools fail without deep context about _your_ systems — and that context lives in integrations nobody has time to build. IncidentFox auto-discovers what each team needs, generates the integrations, and ships with 300+ tools built in. Setup takes less than a day, not months.\n\n👉 Try it: <https://incidentfox.ai>\n\n👉 Open source (Apache 2.0): <https://github.com/incidentfox/incidentfox>\n\n👉 Launch video: <https://youtu.be/TaTpN0JwNYE>\n\n**❌ The Problem: Without the right integrations, your AI has no context**\n\nEvery AI SRE tool connects to Slack, reads your Confluence, queries your Datadog. That part is solved.\n\nHere's what isn't: when the AI actually needs to debug something, it doesn't have the right tools.\n\nYour payments team runs a custom Kafka pipeline with internal dashboards. Your infra team uses a homegrown deployment system. Your ML team has proprietary model serving. Each team's stack is different — and the AI has no way to query any of it.\n\nThe traditional fix? Hand-build integrations (MCP servers) for every team.\n\nBut this creates a new problem:\n\n* Who decides what integrations each team needs? You might know your own team's stack — but when you're debugging another team's service at 3 AM, you don't know theirs.\n* So every team needs to sacrifice an engineer to build and maintain their own integrations. That's expensive, slow, and doesn't scale.\n* Most teams never get around to it. The AI stays half-useful.\n\n**Integration is the bottleneck.** Not the AI model. Not the monitoring data. The integrations.\n\n**🦊 IncidentFox: We auto-build the integrations for you**\n\nIncidentFox is an AI SRE that lives where your team already works — Slack, Microsoft Teams, or Google Chat. It doesn't just connect to your existing tools — it figures out what tools each team needs and builds them automatically.\n\n![uploaded image](/media/?type=post&id=97928&key=user_uploads/1146198/102ebfb0-a3c9-45c5-b993-89e39b94e13b)\n\n**1. Auto-discovers and generates integrations**\n\nIncidentFox analyzes your codebase, infrastructure, and incident history to identify gaps — then auto-generates the tools to fill them. No engineer needs to hand-build MCP servers. No team needs to sacrifice headcount on integration work.\n\nA new team onboards? IncidentFox studies their stack and proposes tools specific to their services — with human approval before anything goes live.\n\n**2. Per-team configuration — because every team is different**\n\nYour payments team and your ML team don't use the same stack. Why would they use the same AI SRE config?\n\nEach team gets their own:\n\n* Tools — enable only what's relevant; disable what isn't\n* Prompts — fully open source and exposed to engineers. Inject your domain knowledge directly\n* Knowledge base — learned from that team's incidents, runbooks, and services\n\nOne team's \"config drift\" is another team's \"model drift.\" IncidentFox understands the difference.\n\n**3. Continuously evaluates and self-improves**\n\nAfter every incident, IncidentFox:\n\n* Detects gaps — \"I couldn't query service X's health endpoint\"\n* Auto-generates the missing tool\n* Evaluates its own investigation quality against the actual resolution\n* Updates prompts and knowledge — with human review\n\nIt gets measurably better every week. Not because you tuned it — because it tuned itself.\n\n**4. 300+ integrations included on day one**\n\nWhile it auto-builds what's missing, you're not starting from zero. Kubernetes, AWS, Grafana, Prometheus, Datadog, Elasticsearch, PagerDuty, GitHub — all built in. Integration time is under a day, not months.\n\n**🧠 Why this matters**\n\n**Integrations** — Traditional: Hand-built per team. Each team sacrifices an engineer. IncidentFox: Auto-discovered and auto-generated. Human approves.\n\n**Multi-team scaling** — Traditional: Breaks — you can't know every team's stack. IncidentFox: Per-team config. Each team's AI knows their stack.\n\n**Domain knowledge** — Traditional: Black box prompts, hope it works. IncidentFox: Open source prompts. Engineers inject and edit freely.\n\n**Over time** — Traditional: Stagnates unless manually updated. IncidentFox: Self-evaluates, finds gaps, improves continuously.\n\n**Setup** — Traditional: Months of custom integration work. IncidentFox: &lt; 1 day. 300+ tools out of the box.\n\n**📊 Results**\n\n* 85–95% reduction in alert noise through intelligent correlation\n* Hours → minutes for incident investigation\n* Zero-config onboarding — Docker in 5 min, production K8s in 30 min\n\n![uploaded image](/media/?type=post&id=97928&key=user_uploads/1146198/844d70ec-e308-472c-9bc4-f212cd954153)\n\n**🔒 Enterprise-ready, open-source**\n\n* Open source — Apache 2.0, no vendor lock-in\n* SOC 2 compliant, SSO/OIDC, RBAC, audit logs\n* Self-hosted, on-prem, or managed SaaS\n* Bring your own LLM keys (OpenAI, Claude, Gemini, etc.)\n\n**👬 The Team**\n\n[**Jimmy (CEO)**](https://www.linkedin.com/in/chiehmin-wei/) — Previously at Roblox, where he built social communication features (in-experience calling for 100M+ DAU). Before that, worked at Meta FAIR on multiparty conversational AI, with published research. Cornell CS. Serial founder — previously CTO at a startup in Outlier Ventures' DeFi accelerator.\n\n[**Long (CTO)** ](https://www.linkedin.com/in/long-yi-b221b2183/)— Previously at Roblox, where he built database infrastructure supporting 100M+ daily active users on the Stateful Infra team. Experienced the chaos of on-call firsthand — which is why we're building this. Brandeis CS + Neuroscience + Business.\n\nWe've lived on both sides: Jimmy built the AI systems, Long was the SRE drowning in incidents. IncidentFox is what happens when you combine both.\n\n![uploaded image](/media/?type=post&id=97928&key=user_uploads/1146198/261f0711-50aa-4a0f-b6c9-9cdc7c853dbc)\n\n\n**🙏 Our Asks**\n\n* Try IncidentFox — self-serve at [incidentfox.ai](https://incidentfox.ai) or star us on [GitHub](https://github.com/incidentfox/incidentfox)\n* Intros to engineering teams spending too much time on on-call\n  * [Book a demo with us](https://calendly.com/d/cxd2-4hb-qgp/30-minute-demo-call-w-incidentfox)\n* Feedback from SREs and infra engineers — [founders@incidentfox.ai](mailto:founders@incidentfox.ai)\n\nThanks for reading ❤️",
        "url": "https://www.ycombinator.com/launches/PTU-incidentfox-the-ai-sre-who-never-drops-context",
        "votes": 5,
        "created_at": "2026-02-18T01:06:25.804Z"
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    "website": "https://www.unisson.ai",
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    "long_description": "Unisson is building trusted AI subject-matter experts for teams that are responsible for customer deployments (technical customer success, implementation, sales engineering). Within 20 minutes, our agents learn to use any product and can be used by teams in Slack, text, or email. Our agents gather requirements and context from existing tools enabling them to handle complex tasks like customer health audits, onboarding, product administration, and custom integrations. \r\n\r\nWith Unisson, customer-facing teams have 24/7 access to an AI SME, allowing them to scale and save thousands of hours. ",
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    "subindustry": "B2B -> Productivity",
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        "full_name": "Varun Mathur",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Unisson. Built a VLM that outperformed Gemini 2.5 Pro on video understanding and sold into Fortune 5. Previously led product & engineering for agent products, growth and VLM research at Ambient.ai (YC W17).\n\n",
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      {
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        "full_name": "Tom Achache",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Unisson. Previously led Perception and built VLAs at Chef Robotics, deploying 50+ robots in production that served over 80M meals. Before that, led Perception at Ambient.ai (YC W17).",
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        "id": 97878,
        "title": "Unisson: The AI product specialist for customer-facing teams",
        "tagline": "Hands-on AI subject-matter experts on tap so your team can move faster and scale",
        "body": "Hey everyone! 👋\n\nWe're Varun and Tom, co-founders of Unisson. We're building an AI-native platform with agents that work as hands-on product experts alongside your customer-facing teams.\n\n### TL;DR\n\nEnterprise deployments require specific customer context, hands-on help, and deep product expertise that is hard to scale. Unisson builds trusted AI subject-matter experts for Implementation, CS, and Sales Engineering teams. Within 15 minutes, our agents learn to use any product and can be used by teams in Slack, text, or email. Our agents gather requirements and context from existing tools, enabling them to handle complex tasks like onboarding, change management, customer health audits, custom integrations, and migrations.\n\n**With Unisson, customer-facing teams have 24/7 access to a hands-on AI subject-matter expert, allowing them to scale and save thousands of hours.**\n\n### 🎬 Launch Video: <https://youtu.be/juWshpSJ3fQ>\n\n### **❌** The Problem\n\nTeams responsible for customer deployments become the \"human API\" for the product. Customers require hands-on help with onboarding, configuration, integrations, change management, and troubleshooting. Executing these tasks at scale becomes challenging because they require specific customer context and deep product expertise: best practices, context from similar deployments, and deep architectural understanding of the product. Over time, this work gets passed to a small number of product experts, slowing down time to value and turning cost-to-serve into a bottleneck for growth.\n\n### ✅ Our Solution\n\nUnisson is an AI-native platform with agents that work as hands-on product experts alongside your customer-facing teams. Our agents:\n\n* Learn to use your product in 15 minutes and build deep expertise.\n* Gather context from meetings, call transcripts, and Slack.\n* Plan and execute onboarding, change management, and migrations end-to-end.\n* Keep your team in control by building an execution plan together.\n* Maintain an up-to-date knowledge base.\n\nEvery task flows through our built-in ticketing system that tracks trends, surfaces patterns, and shows your team how to improve operations.\n\nFor Product & Engineering teams: Our API gives the ability to supercharge your own agents and tools with the same product expertise as your best subject-matter expert.\n\n### The Team\n\nVarun previously led product and engineering for agent products, growth, and VLM research at Ambient AI. Tom previously led Perception at Chef Robotics, deploying hundreds of robots in production.\n\n### 🙏 Our Asks\n\n* Know any **CS, Implementation, Sales Engineering, or Professional Services leaders** looking for ways to scale their teams? We'd love an intro 👉 [varun@unisson.ai](mailto:varun@unisson.ai)\n* Curious how Unisson can help scale your customer-facing teams? [**Book a demo**](https://unisson.cal.com/varun/unisson-product-demo)",
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        "full_name": "Oskar Block",
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        "full_name": "Oscar Adamsson",
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      {
        "id": 97649,
        "title": "Stilta: Cursor for Patent Practitioners",
        "tagline": "AI agents for deep patent research",
        "body": "**_TL;DR:_** Innovation is moving faster than ever, but the tools to protect it aren’t keeping up. We’re building Cursor for patent practitioners, reducing manual research and analysis while unlocking new opportunities.\\\n\\\nKnow any patent practitioners? Let’s connect: [founders@stilta.com](https://mailto:founders@stilta.com)\n\n[🎥 Watch our launch video](https://youtu.be/lOwJlK1fJLg)\n\n### **Problem**\n\nMissing the right patent, or getting the analysis wrong, can cost billions. That’s why patent practitioners spend a large share of their time reading technical documents and building arguments. LLMs can generate text, but patent work has non-negotiables that most tools still don’t meet.\n\n* **Research is manual:** practitioners spend hours searching and analyzing to find the few patents that matter\n* **Tools produce static reports:** most solutions generate a final document or flat lists instead of interactive, argument-led analysis that adapts\n* **Context gets lost:** teams lack flexible end-to-end tools, resulting in a fragmented and clunky software stack\n* **AI isn’t trusted without evidence:** in patent work, outputs must be traceable to specific references with clear rationale\n\n# **Solution**\n\nWe've built Cursor for patent practitioners, using agentic AI to improve how high-stakes patent work is done end-to-end. Our agentic approach works alongside you, iterating on analysis rather than producing one-time reports. Specialized agents with deep domain and skills expertise handle complex patent analysis while building context from your documents and prior work. This enables deeper and more granular analysis that was not previously technically feasible.\n\n![uploaded image](/media/?type=post&id=97649&key=user_uploads/2960868/ba4d323e-fee5-4a6a-bd58-676deac4f4e8)\n\nWhether you're searching for prior art, analyzing portfolios, or monitoring for infringement, you get interactive litigation analysis you can build on - not flat lists. We're already live with leading firms in both Europe and the US.\n\n![uploaded image](/media/?type=post&id=97649&key=user_uploads/2960868/c5dff588-5fbb-4681-8cdc-83f577932775)\n\n### **Why this matters**\n\nInnovation is key to solving the world’s biggest challenges, but protecting innovation is still slowed down by manual, fragmented workflows. Patent practitioners should be able to move at the pace of innovation, so great ideas turn into durable competitive advantage.\n\n### **Who we are**\n\nWe’re four engineers and previous founders who met at McKinsey/QuantumBlack and spent the last few years building and deploying AI for large organizations. We saw first hand how the IP world has one of the largest gaps between available tools and what's needed - the perfect match for what we've built our expertise to solve.\n\n![uploaded image](/media/?type=post&id=97649&key=user_uploads/2960868/769e1ba6-fde1-4ff9-83b9-16509abf0b5a)\n\n* [Tobias ](https://www.linkedin.com/in/tobiasestreen/)previously led AI projects at QuantumBlack and Netlight (and once turned down a pro League of Legends contract).\n* [Petrus ](https://www.linkedin.com/in/petruswerner/)is a builder who’s spent the past 5 years scaling AI systems at QuantumBlack and AWS.\n* [Oskar](https://www.linkedin.com/in/oskarblock/) founded and bootstrapped two startups to +$1M ARR in parallel to working at McKinsey & Goldman Sachs.\n* [Oscar ](https://www.linkedin.com/in/oscaradamsson/)competed nationally in Math, lead product development at unicorns, and worked with +50 CEOs at McKinsey.\n\n### **Our ask**\n\nIf you know patent practitioners who'd benefit from faster, better, and more interactive research, we'd love an intro. \\\n\\\n[Visit our website](https://stilta.com/) | [Contact us](https://mailto:founders@stilta.com) | [Book a demo](https://stilta.cal.eu/stilta/demo)",
        "url": "https://www.ycombinator.com/launches/POz-stilta-cursor-for-patent-practitioners",
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        "full_name": "Pedro Nobre",
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        "body": "**TL;DR: Formal verification** uses mathematical proofs to guarantee a system behaves as intended.  Cajal is **massively scaling this technology** with AI - deploying agents to autonomously discover and **formalize new tools** across applied mathematics with genuine real world impact. Starting with **quantum computing and finance.**\\\n\\\n<https://www.youtube.com/watch?v=7McsRwyWBNE>\n\n**LLMs: The State of Play**\n\nLarge language models are fundamentally stochastic. No amount of scaling changes this - probabilistic systems cannot guarantee correctness. This is especially problematic in mission-critical domains that require mathematical certainty.\n\nFormal verification provides exactly this: mathematical proof that code is correct for every possible input, not just the ones you test. \n\nPreviously, this technology has been limited to a small group of experts working over long horizons - restricting its application to narrow domains like software verification and research mathematics.\n\n**A New Frontier for Formal Verification**\n\nCajal is using AI to massively scale this technology - deploying agents to autonomously discover and formalize tools across applied science, beginning with quantum computing and finance.\n\n**Introducing Tau:** Tau is a multi-agent system that collaborates to discover and verify new mathematical proofs in Lean. Given a research direction, Tau autonomously formalizes large corpora of applied mathematics, discovering novel results with real-world applications - from algorithms with certified speedups to certificates that a system satisfies its constraints.\n\nEvery result is machine-verified by Lean's type-checking kernel, guaranteeing correctness.\n\n**Our Ask**\\\nAlongside our work formalizing applied mathematics, we also partner with frontier AI labs and research institutes to improve their systems, including through datasets, evals, and RL environments. To explore a collaboration, contact us at [hi@caj.al](mailto:hi@caj.al).\n\n→ [Luke](https://www.linkedin.com/in/lukerjohnston/) and [Pedro](https://www.linkedin.com/in/pedronobree/) from [Cajal](https://caj.al/)\n\n![uploaded image](/media/?type=post&id=98146&key=user_uploads/2376628/113fb0c4-2e61-448f-8856-c5946338731f)\n\nBack in our first office in a castle in Germany, where it all began (long story!)",
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        "full_name": "Zakaria El hjouji",
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        "body": "Hey YC! 👋\n\nWe’re [Matt](https://bookface.ycombinator.com/user/1795983) and [Leo](https://bookface.ycombinator.com/user/3241658) building [Laurence](https://www.trylaurence.com/): automated Amazon pay-per-click (PPC) performance marketing using reinforcement learning and transformer models.\n\n<https://youtu.be/EAiSUSByF6k>\n\n**TL;DR**\n\n* **Most brands lose money** advertising on Amazon after margin\n  * Agencies outsource **simplistic copy-paste playbooks** to offshore workers\n  * Existing software are rudimentary rules engines that break with any bad variance\n* We drive performance using **reinforcement learning** and training our own conversion-rate-aware transformer models\n* Our quant system is automating **$10 million in live ad spend**, increasing advertising profits by 15-20% while growing total revenue.\n\n**Team**\n\nMatt\n\n* built the Data Science Agent at Google\n* tuned the Facebook friend suggestion model at Meta\n* was the third engineer at a health-tech startup\n\nLeo\n\n* made $250k as a high-stakes poker pro at 17\n* founded a crypto investing startup at 18\n* was a researcher at Jump Trading\n\nWe started off building a horizontal data science agent for enterprise, and from our hundreds of conversations with anyone who had a problem with data, we learned how desperately brands on Amazon needed PPC automation that works.\n\n**Ask**\n\nIf you know any CPG brands or SMBs selling on Amazon, we would love an introduction :)\n\n\\- Matt & Leo W26\n\n[matthew@trylaurence.com](mailto:matthew@trylaurence.com)\n\n[trylaurence.com](http://trylaurence.com)\n\n![uploaded image](/media/?type=post&id=97551&key=user_uploads/1795983/bb8c6198-ffe9-4166-8f6c-aa27c1205acb)\n\n",
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        "full_name": "Ahmad Khan",
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        "title": "Parameter: AI that Hacks before Attackers do",
        "tagline": "AI agents that find security vulnerabilities in your apps & infrastructure",
        "body": "We're[ @Huzaifa Ahmad](https://www.linkedin.com/in/ahmadhuzaifa012/),[ @Ahmad Khan](https://www.linkedin.com/in/ahmad-khan-b6584b225/), and[ @Prama Yudhistira](https://www.linkedin.com/in/pramayudhistira/) (Parameter W26). **We built AI agents that automate penetration testing.**\n\n![uploaded image](/media/?type=post&id=97640&key=user_uploads/507733/e0895a51-0f41-4ecb-b7d2-6e10257676ee)\n\n**In the past few weeks, our agents found critical vulnerabilities in dozens of YC companies (ones you’ve heard of):** SQL injection exposing billions of records, demonstrated a PoC worm that could infect entire networks, gained access to hundreds of codebases, and more. Through this, we have prevented an estimated $3B+ in potential damages (based on exposed record counts and IBM's Cost of a Data Breach benchmarks).\n\n[🎥 Watch our launch video](https://youtu.be/kDWcB4GjzeA)\n\n**The problem:** Companies lose $10T+ annually to preventable vulnerabilities, yet most pentest once a year because it's manual, expensive, and slow. By the time you get the PDF, your codebase has changed.\n\nAnd that gap is widening. In September 2025, Anthropic caught Chinese state-sponsored hackers using AI to run 80-90% of an attack autonomously — thousands of requests per second, speeds no human team could match. The attackers have AI now, and defenders need it too.\n\n![uploaded image](/media/?type=post&id=97640&key=user_uploads/2947591/e8003001-ba20-41f7-9c96-11922c602f4b)\n\n**What we built:** AI agents that run continuous penetration tests against your apps and infrastructure. They find vulnerabilities, chain exploits together, and deliver actionable findings with reproduction steps — at a fraction of the cost of traditional pentesting.\n\n![uploaded image](/media/?type=post&id=97640&key=user_uploads/2947591/0f00074f-e1d6-4ef2-bc4e-9466839fab36)\n\nWant to see what we find in your systems? Book a discovery call: [hex.co](http://hex.co)\n\nVisit us at [hex.co](http://hex.co) | [founders@hex.co](mailto:founders@hex.co)",
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    "launches": [
      {
        "id": 97268,
        "title": "Rhizome AI - Know what the FDA thinks",
        "tagline": "Instantly answer regulatory questions with up to 1,000 documents from public health authority databases without hallucinations",
        "body": "Hi all - I’m [Chetan](http://linkedin.com/in/chemishra), the founder of [Rhizome AI](https://rhizomeai.com/).\n\n# _Tl;dr_\n\n_What has the FDA’s feedback been on real world evidence in review comments?_ \n\nWe help life science companies know what the FDA thinks.\n\nRegulatory affairs teams ask a question and get an answer backed by terabytes of regulatory & clinical databases from the US, EU, etc.\n\nUnlike ChatGPT, Rhizome reads up to 1,000 documents per question, accompanies each statement with a citation, and doesn’t hallucinate.\n\n**_Ask_**: If you know any biotech or medtech leaders (esp if they’re regulatory affairs or R&D), I’d appreciate [an intro](https://calendly.com/mishrachetan/launch-yc)!\n\nUltimately we want all reg affairs teams to be as informed as [the most regulatory man in the world](https://youtube.com/shorts/whOX6BuvgMI). \n\n### 😖 The problem: Knowing what the FDA thinks\n\nThe FDA is the customer of every function in life sciences. It doesn’t matter whether you are regulatory affairs, R&D, quality, manufacturing, commercial, etc.\n\nAt the same time, it’s difficult to understand their thinking. Guidance documents are high level and vague. The only alternative is doing (or paying a consultant to do) manual, painful research on past decisions they’ve made and understand _why_. Other regulators around the globe are no easier.\n\nChatGPT / Claude / etc. have only made it worse\n\n* They trust their knowledge and only look up what they feel the need to. This means low-latency, but high-hallucination research\n* Even when they retrieve sources, at most, it’s a few dozen. It’s also liable to include lots of internet junk mixed in with the authoritative government databases the industry trusts\n* They don’t make it easy to check citations. They cite a 1200 page PDF and you don’t really know where to dig inside it.\n\n### ✨ The Solution: Hallucination-free, deep research for life sciences\n\nRhizome Ask solves this problem by providing hallucination-free and thorough deep research for the life sciences. There’s a few key things our customers like:\n\n* We didn’t have a single hallucination reported in 2025. \n* Every statement comes with a citation\n* We read up to 1,000 documents per question in a few minutes before writing an answer. We’re continuously extending this limit.\n\n \n\nHere’s a quick peek at the product:\n\n![uploaded image](/media/?type=post&id=97268&key=user_uploads/668813/dbc9e5d3-d827-4dfe-8b2d-52dfab9bb2b1)\n\nOur customers love it. A few testimonials:\n\n* “_Last time we did this research, we spent weeks. Rhizome found the answer immediately_.” - a VP of reg affairs at a clinical-stage biotech\n* _“Chetan idk what kind of magic you all did here, it’s so good” -_ a VP of reg affairs at a biotech with multiple products on the market\n* _“I would cry if I lost access to Rhizome” -_ an RA manager at a drug delivery device company\n* “_10 minutes of work can accomplish what would have taken weeks._” a device engineer at a pharma company\n\n### 🤝 Who am I\n\n![uploaded image](/media/?type=post&id=97268&key=user_uploads/668813/85808e43-72d1-4d28-b536-7fd8d4af6c5c)\n\nA bit about my background. \n\nI joined EvolutionaryScale as their first product engineer, launching an AI inference platform to help scientists design proteins. I joined Instabase as #16 helping banks with document & imaging processing, closing $7m as the technical lead. \n\nWhen looking to start my own company, I realized we saw many AI startups focused on drug discovery, but a _lot_ less attention bringing those products to market. \n\n# 🙏 My ask: Connections with regulatory affairs, quality, or R&D leaders in life sciences\n\nDo you know any regulatory affairs, quality, or R&D leaders in life sciences? It would be awesome to chat with them!\n\nOther ways you can help:\n\n* Follow us on [Linkedin](https://www.linkedin.com/company/rhizomeai/)\n* Share this post with your friends / family in life sciences!\n* Learn more about us at [rhizomeai.com](http://rhizomeai.com)",
        "url": "https://www.ycombinator.com/launches/PIq-rhizome-ai-know-what-the-fda-thinks",
        "votes": 14,
        "created_at": "2026-01-29T17:20:48.065Z"
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    "id": 31178,
    "name": "Cardboard",
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    "website": "https://cardboard.ai",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Cardboard is an agentic video editor for growth/marketing teams and serious creators who need to ship videos consistently. Instead of agencies, long timelines, and infinite review cycles, teams give cardboard a footage + a goal (“3 variants”, “30s hook”, “testimonials”) to get a strong first cut in minutes on which they can iterate quickly.\r\n\r\nMultimodal LLMs can finally reason over footage, and WebGPU/WebCodecs make a real NLE possible in the browser. For the first time, an “AI director” inside a professional editor can be a reality.\r\n\r\nWe have to build two hard things at once: a high-performance editor in the browser and an agentic editor that is reliable for production use cases. Most startups do one; incumbents can’t rebuild their stack without breaking everything.\r\n\r\nSaksham and Ishan met in school and have known each other since 15 years. Saksham was Co-founder/CTO of Iterate AI (backed by EF) and posts content on social media; Ishan has spent ~5yr building memory-heavy, performance-critical browser apps at HackerRank (S11) and deeply understands browsers. He has built Hotspoter (5M+ downloads) when he was 14.\r\n\r\nTogether, we’re unusually suited to build the editor core others avoid.\r\n\r\nVideo is becoming the default distribution channel, and the team that iterates fastest compounds attention. Cardboard becomes the default workspace for video production, the way Canva/Figma became the workspace for design - because it’s collaborative, fast, and does the tedious parts for you.",
    "one_liner": "Agentic video editor",
    "team_size": 8,
    "industry": "B2B",
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    "launched_at": 1768162565,
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    "url": "https://www.ycombinator.com/companies/cardboard",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/cardboard.json",
    "year_founded": 2025,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/cardboardinc",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
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        "user_id": 1737031,
        "full_name": "Saksham Aggarwal",
        "title": "Founder/CEO",
        "founder_bio": "Saksham Aggarwal is the founder of Cardboard (W26). He studied CS at BITS Pilani and previously built AI products at Iterate AI (EF-backed startup). \n\nHe has published at ACL and has spoken internationally on AI evaluations. He was the first engineer at PYOR (backed by Coinbase and Castle Island) and worked in growth at Sequoia-backed Flint.",
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        "linkedin_url": "https://linkedin.com/in/sakshamagg27",
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        "user_id": 694377,
        "full_name": "Ishan Sharma",
        "title": "Founder/CTO",
        "founder_bio": "Ishan Sharma is the founder of Cardboard (W26). He is a full-stack engineer with deep experience in high-performance web systems, creative tooling, and applied AI.\n\nPreviously, he spent ~4.5 years at HackerRank (S11), where he led multiple 0→1 products used by millions.\n\nHe started programming in 6th grade and built a Windows app in school that crossed 5.7M+ downloads and was featured on CNET and Softonic",
        "is_active": true,
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        "id": 106736,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/O0iuUEB-backend-engineer",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 106737,
        "title": "Senior Applied ML Engineer, Evals & Data",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/pw5Pk5E-senior-applied-ml-engineer-evals-data",
        "location": "Bengaluru",
        "type": "Full-time",
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        "experience": "5+ years",
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        "id": 107330,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/pZUQWeq-founding-designer",
        "location": "Bengaluru / San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "₹3M - ₹6M INR",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 107331,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/CPnEG9f-founding-design-engineer",
        "location": "Bengaluru / San Francisco",
        "type": "Full-time",
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        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 107332,
        "title": "Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/QHP87El-fullstack-engineer",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 97467,
        "title": "Cardboard - Agentic Video Editor",
        "tagline": "Edit videos at the speed of thought!",
        "body": "**TL;DR**\n\nCardboard is an agentic video editor. It gives you the power of Premiere Pro or DaVinci Resolve without the learning curve. It is orders of magnitude faster + cheaper than the old way of making videos.\n\nIt lives in your browser and helps you go from a sea of **raw footage** (talking heads, screen recordings, screenshots, B-rolls) to a great video in seconds.\n\nThink of it as “**vibe editing**”\n\n<https://youtu.be/xLBxatFM7uk>\n\n**The Problem**\n\n**Video has become the default distribution channel for growth, marketing, and brand storytelling. The teams who iterate fastest on video, compound attention over time.**\n\nMany of us sit on mountains of raw assets - product walkthroughs, customer feedback, tweets, blogs, changelogs, emails, and newsletters - that should turn into **testimonials, launch videos, recaps, and ad experiments.**\n\nBut, editing is **painfully slow**. Getting to a first cut still means hours of manual work, expensive tools, and async feedback loops. This is where the momentum dies.\n\nAs a result, most teams ship far fewer videos than they should - not because they lack ideas or footage, but because the editing process can’t keep up.\n\n**The Solution**\n\n**We are building Cardboard - it is an agentic video editor that lives in your browser.**\n\nYou can:\n\n1. Ask for a first cut (“make a 60s recap” / “cut this into ads”)\n2. Search footage by meaning, not filenames\n3. Then refine it yourself on a timeline\n\nThe goal is to make video production feel closer to modern design / coding tools - fast, accessible, and collaborative - so the teams can iterate fast and ship more.\n\n**Why us?**\n\nWe met in middle school and have been best friends since the last 15yrs. We built Cardboard because we lived with this problem ourselves:\n\n* I create content on [Instagram](http://instagram.com/saksham.awl) and [LinkedIn](http://linkedin.com/in/sakshamagg27), with \\~250k views/month on an average.\n* Ishan (CTO) has been producing Apple-style internal launch videos for HackerRank’s all-hands demo days (350+ attendees) \\[Example: [Video 1](http://share.ishandeveloper.com/video-1), [Video 2](http://share.ishandeveloper.com/video-2)\\]\n\nBoth of us hit the same wall: tools like Premiere Pro or DaVinci are powerful, but the learning curve is steep and getting to a first cut takes hours. Creativity starts to feel like manual work.\n\nCardboard exists to remove those painful steps - so that people can focus on what they’re actually good at: **telling great stories.**\n\n**Ask**\n\nIf you’re leading or working in a **growth / marketing team** that uses video as a distribution channel (launches, ads, recaps, testimonials, or weekly content) and you care about **speed**, we’d love to work closely with you.\n\n\\\nStart using [Cardboard](https://usecardboard.com/)!\n\n\\- [@Saksham Aggarwal](https://bookface.ycombinator.com/user/1737031) and [@Ishan Sharma](https://bookface.ycombinator.com/user/694377) (Cardboard, W26)",
        "url": "https://www.ycombinator.com/launches/PM3-cardboard-agentic-video-editor",
        "votes": 43,
        "created_at": "2026-02-03T20:33:54.663Z"
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    "id": 31179,
    "name": "Jinba",
    "slug": "jinba",
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    "website": "https://jinba.io",
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    "long_description": "Jinba lets enterprise teams vibe-code AI workflows instead of drag and drop. Describe what you need in plain language, and your whole company can start using it immediately. No engineers required. Enterprise-grade permissions, audit logging, and on-prem deployment built in. We serve 40,000 enterprise users at major financial institutions.\r\n\r\nBuild something your colleagues want.",
    "one_liner": "Automate enterprise workflows through chat",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1768673344,
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    "regions": [
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      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/jinba",
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        "full_name": "Shoya Matsumori",
        "title": "Founder/CEO",
        "founder_bio": "🇯🇵 Ph.D. in CS / Co-Founder & CEO @ Jinba",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/smatsumori",
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        "full_name": "Takuya Norisugi",
        "title": "Founder/COO",
        "founder_bio": "prev McKinsey manager / Co-Founder & COO @ Jinba",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/takuya-norisugi-284790100",
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        "id": 91073,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/jinba/jobs/UnPJsEv-founding-engineer",
        "location": "San Francisco / US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
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      {
        "id": 91074,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/jinba/jobs/hKJ7YiB-founding-design-engineer",
        "location": "San Francisco / US / CA",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
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        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/jinba/jobs/f6xNmGU-chief-of-staff",
        "location": "San Francisco / US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "1+ years",
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      {
        "id": 98042,
        "title": "Jinba - Workflow Builder for Enterprise AI Automation",
        "tagline": "Used by over 40,000 enterprise users at Fortune Global 500 companies",
        "body": "### **TL;DR**\n\nJinba lets enterprises build AI workflows just by chatting. Unlike traditional no-code tools, you don't need to struggle with a seemingly friendly drag-and-drop interface. Think Lovable meets n8n, but built for the enterprise. We now serve 40,000 users across Fortune Global 500 companies in banking, insurance, and other highly regulated industries.\n\n### <https://www.youtube.com/watch?v=RBi9OtRGDpk>\n\n**Why this matters**\n\nEnterprises want AI automation but can't make it happen. They spend months building workflows that never make it to production. Internal engineering resources are stretched thin, consultants are expensive, and when something finally gets built, it stalls at deployment because it can't meet security, compliance, or scalability requirements.\n\nJinba fixes this. Business users go from idea to production-ready AI workflows just by chatting, with enterprise-grade security and compliance built in from day one.\n\n### \n\n**How it works**\n\n**1. Build AI workflows just by chatting with Jinba Flow.** No engineers needed.\n\n![uploaded image](/media/?type=post&id=98042&key=user_uploads/1305643/185f2855-73b6-4fc5-9bbe-96255d1b2870)\n\nDeploy as MCPs with one click.\n\n![uploaded image](/media/?type=post&id=98042&key=user_uploads/1305643/5be8c689-741a-4746-8aed-9a2eaaba4792)\n\n**2. Your colleagues can use it in Jinba App.**\n\n![uploaded image](/media/?type=post&id=98042&key=user_uploads/1305643/1c2145df-4799-400f-b5d2-097a3113777c)\n\nEnterprise-ready from day one. Your IT and security teams won't have to worry about scaling, access control, or audit trails. On-prem deployment is available too.\n\n### **Our ask**\n\nIf any of these sound familiar, let's talk:\n\n1. Large enterprises with manual workflows\n2. Companies wanting AI automation without hiring engineers\n3. Organizations with strict security/compliance requirements\n4. Teams that tried no-code tools but hit scaling limits\n\n**Contact us at: [https://jinba.io/contact-sales](https://jinba.io/contact-sales)**\n\n**Sign up at: [https://jinba.io](https://jinba.io)**\n\n### \n\n**Founders**\n\n**Shoya Matsumori** (Co-founder and CEO) Ph.D. in machine learning.\n\n**Takuya Norisugi** (Co-founder and COO) prev McKinsey manager.",
        "url": "https://www.ycombinator.com/launches/PVK-jinba-workflow-builder-for-enterprise-ai-automation",
        "votes": 22,
        "created_at": "2026-02-23T23:17:00.975Z"
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    "id": 31181,
    "name": "Synthetic Sciences",
    "slug": "synthetic-sciences",
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    "website": "https://syntheticsciences.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Synthetic Sciences is a research lab building infrastructure for scientific superintelligence. Empirical science is bottlenecked by verification that is slow, expensive, and imperfect. We work on tooling, evals, training environments, algorithms, and labs that make autonomous science possible.",
    "one_liner": "Infrastructure for Autonomous Science",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1770489645,
    "tags": [
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/synsci",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "user_id": 1441373,
        "full_name": "Ishaan Gangwani",
        "title": "Co-Founder",
        "founder_bio": "Prev: IOAI '25 (HM), USACO Platinum, Z-Fellows, Emergent Ventures",
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        "user_id": 2581686,
        "full_name": "Aayam Bansal",
        "title": "Co-Founder",
        "founder_bio": "Built COVID-19 helpline infrastructure for Indian govt serving 50k+ people daily\nPatented (US, SG, IND) and Sold Orthopaedic AISock for 5-figures at 17\nPublished at NeurIPS, ICML, ICLR, AAAI, CVPR & other A* conferences\n\nPrev: aisock (Acq.), Z-Fellows, Emergent Ventures",
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    "news": [
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        "title": "Indian teens among youngest founders to get accepted into Y Combinator W26 - The Economic Times",
        "url": "https://economictimes.indiatimes.com/ai/ai-insights/indian-teens-among-youngest-founders-to-get-accepted-into-y-combinator-w26/articleshow/125788177.cms?from=mdr",
        "date": "Dec 08, 2025"
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    "launches": [
      {
        "id": 98217,
        "title": "Synthetic Sciences – AI Co-Scientists for End-to-End Scientific Research",
        "tagline": "Cursor for Scientific Research.",
        "body": "Hi! We’re Aayam and Ishaan, co-founders of [Synthetic Sciences](https://syntheticsciences.ai/).\n\n# **TL;DR**\n\nSynthetic Sciences is a platform where scientists delegate complex research tasks to AI co-scientists that handle the full research loop: **literature → hypotheses → experiments → results → paper drafts**.\n\nOver the last year, AI has been showing some traction in math research. Math gets the coverage because it’s easy to measure. But there is a non-trivial unlock to be made in accelerating the rest of science – ML research, computational biology, proteomics - where the tooling hasn't caught up yet.\n\n**Launch Video:** <https://www.youtube.com/watch?v=uHOmeCnV1HU>\n\n# **The Problem**\n\nScientific research is a marathon of iterations. Read hundreds of papers. Form hypotheses. Design and run experiments. Wait. Analyze. Write. Revise. Submit. Each cycle compounds.\n\nThe existing tooling doesn't help. AI “literature review” tools surface papers but don't carry context forward into your code or experiments. Jupyter, W&B & others track runs but are siloed from your literature and writing. Writing happens in isolation, even though it could be steering decisions earlier.\n\nResearch is a long chain of context-dependent steps, and our tools treat each one like it’s isolated. Every iteration forces you to rebuild state: what you read, what you tried, why you chose this method, what failed, what changed.\n\nA single research question becomes months of fragmented work scattered across tools, tabs, and time zones. And it's all on you. Every step requires your attention, your context, your time.\n\nYou can't parallelize yourself. If we could accelerate scientific research the way we’ve accelerated software engineering in the last 24 months we are guaranteed to see science breakthroughs that will massively benefit humanity.\n\n# **Our Solution**\n\nPoint synsci at a research question, a repo, or a dataset. Our AI co-scientists autonomously:\n\n* Search + synthesize literature grounded in your project\n* Generate high-quality hypotheses + idea trees tied to prior work\n* Design experiment plans + GPU job specs\n* Write and run code (Python, R, ML pipelines) in containerized environments\n* Launch and monitor experiments on serverless GPUs & GPU clusters\n* Output publication-ready drafts: LaTeX, figures, slides\n\nWe’ve mostly tested synsci on ML research so far, but we’re rapidly expanding across domains. It’s already strong in computational biology research: on BixBench Verified, our biology mode achieves state-of-the-art performance (92%).\n\n![uploaded image](/media/?type=post&id=98217&key=user_uploads/1441373/0d71bacf-1ac6-4ee5-973e-42a543973d04)\n\n# **Flywheel Mode: Own Your Models**\n\nIf you have users, you already have the rarest ingredient in AI: proprietary signal. Every correction, accept/reject, trace, and outcome becomes training data. Everyone has access to the same models and can buy the same tokens. Nobody else can buy your users, your logs, and your feedback loops. \n\nStrong open-weight models now make it possible to beat frontier performance on your specific tasks through post-training (SFT + RL). However, the problem is everything around the model: data plumbing, evals, deployment, and compute. That friction keeps most teams renting intelligence by the token instead of owning it.\n\nFlywheel Mode makes the loop painless. We handle the glue code and ship the workflow end-to-end across 20+ compute providers and hundreds of built-in skills. Use your AI co-scientists to run the full loop: train, evaluate, deploy, iterate.\n\n![uploaded image](/media/?type=post&id=98217&key=user_uploads/1441373/ea6a1549-dd1f-40e3-bd36-ae627be085b0)\n\n# **Our Story**\n\nWe met doing ML research at NUS, CMU and MIT CSAIL & published together at NeurIPS, ICML, and AAAI workshops. Ishaan came from competitive programming (top-ranked in India for IOAI Team Selection, USACO Platinum). Aayam previously built, patented & sold an AI orthopaedic sock and built COVID-19 infra serving 50k+ users daily. \n\n# **Our Ask**\n\n* **Try it:**[ ](https://app.syntheticsciences.ai)[syntheticsciences.ai](http://syntheticsciences.ai) - $5 in free credits when you sign up!\n* **If you’re a CTO / Head of R&D / research lead** and want to accelerate R&D with AI co-scientists, we’d love to talk.\n* **RL environments for scientific research:** We're building LHRL environments to post-train models on ML research workflows. If you're an AI lab interested in process-oriented data, let's talk.",
        "url": "https://www.ycombinator.com/launches/PY9-synthetic-sciences-ai-co-scientists-for-end-to-end-scientific-research",
        "votes": 20,
        "created_at": "2026-02-26T18:00:26.592Z"
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    "id": 31182,
    "name": "Visibl Semiconductors",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Visibl Semiconductors makes custom silicon accessible to hardware companies, starting with power electronics. We are an AI-native custom-silicon design partner that cuts ASIC development cost and timeline on mature nodes, helping teams deliver better performance and lower BOM cost.\r\n\r\nWe work with data-center and AI-infrastructure power, motor drives, industrial automation and robotics, industrial power supplies and conversion, battery systems and e-mobility powertrains, EV charging, solar, energy storage, grid power, HVAC, heat pumps, and appliances.\r\n\r\nV1 boards built from off-the-shelf parts are great for getting to market quickly, but scaling to v2+ volume requires optimizing cost, size, and manufacturability. Visibl folds those parts into custom silicon built around the product: a simpler BOM, reclaimed board space, fewer supply constraints, and automation-ready assembly.\r\n\r\nWe manage the full path from architecture and design through verification, fabrication, packaging, and production-ready silicon, working alongside hardware teams so they do not need an in-house chip team.",
    "one_liner": "Custom silicon for power electronics",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/visiblsemi/",
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      "name": "Tyler Bosmeny",
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      {
        "user_id": 931842,
        "full_name": "Bryce Neil",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Visibl Semiconductors. Passionate technologist and recipient of two of Canada’s most competitive academic scholarships. Bryce is a computer engineer with experience across engineering, data, and business. He has built production software and data systems for Deloitte’s OmniaAI team, healthcare, and the public sector. His work has run in leading U.S. hospitals and supported teams globally.",
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        "linkedin_url": "https://www.linkedin.com/in/bryceneil/",
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      {
        "user_id": 2574530,
        "full_name": "Jordon Kashanchi",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Visibl Semiconductors. Jordon previously worked at Microsoft, Arm, and Intel, building expertise in AI accelerators, autonomous vehicle hardware, and graphics. Most recently at Microsoft, he designed digital logic and microarchitecture for next-gen custom AI silicon. He holds an MS in ECE from UT Austin and is published in PNAS and ACM.",
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        "id": 113109,
        "title": "Senior Digital IC Engineer — RTL Design & Verification",
        "url": "https://www.ycombinator.com/companies/visibl-semiconductors/jobs/o2iGDo7-senior-digital-ic-engineer-rtl-design-verification",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$180K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 97968,
        "title": "Visibl Semiconductors: The First AI-Enabled Coordination Layer for Chip Design",
        "tagline": "Meet Visibl, The First AI-enabled Coordination Layer for Chip Design",
        "body": "Hey everyone 👋\\\nWe’re Bryce and Jordon, co-founders of VISIBL SEMICONDUCTORS™\\\n\\\n**Launch video:** <https://youtu.be/l_0BcKIIU3Q>\n\n---\n\n**TL;DR**\\\n_Visibl is the first coordination layer for chip design._ Requirements, architectural intent, and implementation drift out of sync as designs and teams scale. Visibl surfaces drift early, opens cases with evidence, and delivers review-ready fixes enabling improved schedule, cost, and risk outcomes in chip design.\n\nCheck out LinkedIn post here:\\\n<https://www.linkedin.com/posts/y-combinator_visibl-semiconductors-yc-w26-is-building-activity-7430280268252590081-UBoI/>\n\n**Problem**\\\nCoordination has always been a human job: monitoring drift, triaging failures, keeping the schedule aligned. It demands constant vigilance, reacting to failures, proactively scanning for issues, always watching.\n\nAs designs scale, no one can hold all that context: the specs, the implementation, the test results, the decisions scattered across Slack, Jira, and docs. Issues slip through. Drift compounds. We saw this firsthand. There was no software to solve it. So we're building it.\n\nOur experience spans chip design and high-stakes production systems. We're solving a problem there was never enough human bandwidth to address, but one that directly impacts the most important outcomes in chip design: schedule, cost, and risk.\n\n**What Visibl Does**\\\n\\\n**Monitors** - specs, implementation, CI, and all design collateral to detect drift early\n\n**Investigates** - creates cases with evidence: spec sections, RTL refs, CI logs, historical decisions\n\n**Proposes** - agents suggest fixes, run verification, package review-ready diffs\n\n**Gates** - human approval required, nothing ships without explicit sign-off\n\n### —\n\n\\\n**Results**\\\n\\\n**Schedule** - Eliminate weeks lost waiting for the one engineer with context to debug failures\n\n**Cost** - 10x less engineering overhead on triage; your team builds instead of firefighting\n\n**Risk** - Catch issues early to minimize rework; avoid late-stage surprises that lead to $10M+ respins\\\n\\\n\\\n\\\n\\\n**Instant Dispatch & Case Creation**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/d732540d-c0f2-416d-9402-378b41735ffe)\n\nAgents spin up immediately on regressions, failing PR checks, spec updates, and more. Visibl opens a case automatically.\n\n---\n\n# \n\n—\n\n\\\n**Evidence Bundle**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/e869a320-410e-4c42-9126-535bd4c9b4be)\n\n\\\nEach case comes preloaded with spec sections, RTL refs, CI logs, and decision history.\n\n# \n\n—\n\n\\\n**Recommended Fix**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/d5e63a58-2b58-4e78-8278-652a0808b651)\n\nVisibl proposes three fix paths and recommends the best one for approval. User can also clarify and specify their own intent.\n\n# \n\n—\n\n\\\n**Verified Review-Ready Diff**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/45650b40-9fc2-477a-8ffa-8c29cf6bac09)\n\nApproved changes are applied, verified, and packaged as a review-ready diff with results.\\\n\\\n\\\n\\\n**Role-Based, Team-Based, and Individual Views**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/2c568efd-b5a0-42db-be95-97f9cbfde4d8)\n\nRole-specific views surface the same underlying truth at the right level of detail. For example, the executive view shows how Visibl ambiently ingests signals across the org and distills them into what leaders care about most—readiness, schedule impact, and top tapeout risks—so they can take action quickly. **Visibl also lets executives (and every role) act directly on these insights, drill into the underlying evidence, assign owners, and drive cases to resolution.**\n\n\\\n**Our Ask**\\\n\\\n**If you have a friend who designs chips at a semiconductor or hardware company, we would really appreciate an intro.** Even a quick forward of this post helps.\\\n\\\nIf you are a:\n\n* _DV / CI owner_\n* _Design methodology / flow owner_\n* _Team heading into integration, freeze, or pre-tapeout_\n\n…we’d love to talk.\n\n**Schedule a demo:** [**founders@visiblsemi.com**](mailto:founders@visiblsemi.com)\n\n---",
        "url": "https://www.ycombinator.com/launches/PU8-visibl-semiconductors-the-first-ai-enabled-coordination-layer-for-chip-design",
        "votes": 13,
        "created_at": "2026-02-19T15:43:41.410Z"
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    "id": 31184,
    "name": "Assemble",
    "slug": "assemble",
    "former_names": [
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    "website": "https://www.assemble.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Assemble accelerates IT teams by performing development work inside core enterprise systems like ERP, CRM, and HRIS. Our agents help IT teams scope dependencies, build logic, and validate changes across your systems.",
    "one_liner": "Autonomous IT Delivery",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1783894724,
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    "batch": "Summer 2026",
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      "America / Canada"
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/use-assemble",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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      {
        "user_id": 1578320,
        "full_name": "Aliyan Ishfaq",
        "title": "Founder/CEO",
        "founder_bio": "cs/ai @ stanford | prev. SAIL, LangChain",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aliyan-ishfaq",
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      {
        "user_id": 1804823,
        "full_name": "Shaurnav Ghosh",
        "title": "Founder/CTO",
        "founder_bio": "Building Assemble.\nSAIL Researcher. Previously at AWS, Apple. Stanford CS BS/MS.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shaurnav-ghosh/",
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      {
        "user_id": 3118829,
        "full_name": "Shrish Janarthanan",
        "title": "Founder/CPO",
        "founder_bio": "CS @ Stanford. Cyber Security @ KPMG. Mayfield Fellow. Building AI for IT Teams. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shrishj/",
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      {
        "id": 105577,
        "title": "Assemble: Agents for Enterprise IT",
        "tagline": "Agents that perform IT implementations across ERPs, CRMs, and HRIS platforms.",
        "body": "Hi, we’re Assemble!\n\nWe build agents for IT teams that manage enterprise systems like ERP, CRM, and HRIS platforms. Think Salesforce, SAP, Workday, NetSuite, and custom applications. \n\nThese **platforms keep the world’s businesses running every day**, yet they are painful to configure as the business evolves. With custom logic, integrations, and processes built up over years, IT implementations can take months or even years.\n\nAssemble helps IT teams understand these dependencies, make changes, and test the result, all while keeping a clear agent trace. Teams can review the work, approve it, and roll it back when needed. We are building Assemble to help IT teams deliver complex transformation projects with both speed and control.\n\n**Demo**\n\n<https://www.loom.com/share/cf221032f60b48c9a0f0bd04dcc41041>\n\nThe demo shows Assemble migrating trade-show accounts from HubSpot to Salesforce and setting up APEX automation for hot leads. The agent completes the work end-to-end, creating an audit trail for every action letting the user revert individual changes or restore the Salesforce to an earlier snapshot.\n\n**Why we started Assemble**\n\nWe learned about the problem space after talking to more CIOs and VPs of IT. Companies are already using AI to ask questions about their core business stack. The real challenge is to have safe-execution inside these core systems, letting IT move just as fast as the business.\n\n![uploaded image](/media/?type=post&id=105577&key=user_uploads/1578320/4aa47909-92cb-46a2-9479-917d889f318c)\n\nShrish (left): Cyber Security at KPMG, Mayfield Fellow. \n\nAliyan (center): Researcher at Stanford AI Lab, Applied AI Engineer at Langchain, built products used by 100k+ people\n\nShaurnav (right): AI Engineer at Amazon and Apple. Researcher at Stanford AI Lab\n\nWe have worked on long-running agents and are excited to apply that experience to enterprise IT.\n\n**Asks:**\n\n1. If your company uses Salesforce, NetSuite, Workday, ServiceNow, SAP, or similar systems, we’d love to learn how your IT / business systems team handles changes today. **Are they backlogged? We might be able to help!**\n2. If you know someone who leads IT, Business Systems, or Enterprise Applications at a scaling company, we’d be very grateful for an intro!\n\nTalk to us at [founders@assemble.ai](mailto:founders@assemble.ai)",
        "url": "https://www.ycombinator.com/launches/RSr-assemble-agents-for-enterprise-it",
        "votes": 4,
        "created_at": "2026-07-13T16:23:12.785Z"
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    "id": 31185,
    "name": "Chamber",
    "slug": "chamber",
    "former_names": [
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    "website": "https://www.usechamber.io",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Chamber puts your AI infrastructure on autopilot, and saves your machine learning engineers hours of manual effort. Our agents continually monitor, detects failures, provide root-cause analysis, resolve issues, and optimize AI workloads and scale across clouds. It operates like an autonomous infrastructure team, helping save your research and engineers hours each day, and debugging workload performance issues. Your ML teams move faster, infra waste drops, and GPU bottlenecks disappear.",
    "one_liner": "The AIOps Agent for ML Teams",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1768078423,
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    "nonprofit": false,
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    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/chamber.json",
    "year_founded": 2026,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usechamber/",
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        "id": 96703,
        "title": "Chamber – Autopilot for AI Infrastructure 🚀",
        "tagline": "Turning Idle GPUs Into Enterprise AI Velocity",
        "body": "# **TLDR;**\n\n[**Chamber**](https://www.usechamber.io) is building AI infrastructure platform that automates governance and resource optimization for enterprise.\n\n**Ask**: If you’re at (or know) a company spending **millions on reserved GPU infrastructure** we’d love to talk.\n\nOur Launch Video: <https://youtu.be/w5Nk1wleigc>\n\n**Who are we?** We're former Amazonians that helped build and scale large-scale infrastructure optimization, delivering hundreds of millions in cost savings, and we’re now bringing those learnings to help other enterprises uncover idle AI infra, accelerate workloads and reduce wasted money on reserved idle GPUs. _([Featured in Business Insider](https://www.businessinsider.com/amazon-strategy-overcome-gpu-shortages-nvidia-2025-4))_\n\nLinkedIn: [Charles](https://www.linkedin.com/in/dingcharles/), [Shaocheng](https://www.linkedin.com/in/shaocheng-wang-b766b7a6/), [Jason](https://www.linkedin.com/in/jshenong/), and [Andreas](https://www.linkedin.com/in/andreasbloomquist/)\n\n**Problem:** Despite massive AI infrastructure investments, 30–60% of enterprise reserved GPU capacity sits idle in siloed allocations, slowing down teams who need it most, and silently driving up costs. This inefficiency represents $240B+ in annual waste across the industry, and it’s only growing as AI research and development accelerates.\n\n**Solution:** [Chamber](https://www.usechamber.io) puts your AI infrastructure on autopilot. Our agentic AI enabled platform orchestrates, governs, and optimizes your AI infrastructure so teams can run \\~50% more workloads on the same GPUs without manual intervention. It operates like an autonomous infrastructure team: continuously monitoring GPU clusters, forecasting demand, detecting unhealthy nodes, and reallocating resources in real time to where they create the most impact. Your ML teams move faster, infra waste drops, and GPU bottlenecks disappear.\n\n* **Discover & optimize idle GPU capacity**\\\n  Automatically identifies underutilized GPUs and hidden optimization opportunities across clusters, teams, and workloads.\n* **Agentic AI–driven orchestration**\\\n  Automatically right-size workloads, manage resource allocations, and orchestrate workloads across teams based on real-time demand and priority.\n* **Self-healing infrastructure**\\\n  State-of-the-art bad-node detection with automated remediation to keep clusters healthy and jobs running.\n* **Deep AI-powered analytics**\\\n  Detect anomalies, forecast usage, and slice and dice workloads by team, user, job type, or priority.\n* **Proactive alerts & executive visibility**\\\n  Native integrations with Slack, Email, and PagerDuty, and more to deliver real-time alerts, executive digests, and clear action items.\n\nOur Product Demo: <https://youtu.be/E8BLg7zi9mc>\n\n**Who is this for:**\n\n* **AI/ML teams** looking to move fast and run more workloads without manual GPU allocations, priority spreadsheets, or burning budget on unused GPUs \n* **Engineering leaders & executives** who need real-time visibility, accountability, and control over GPU spend to deliver higher ROI to their executives and shareholders\n\n \n\n**A gift from us:** We’re offering a **complimentary GPU Intelligence Dashboard** and **advanced monitoring & discovery agent** that gives you immediate, production-grade visibility into your AI infrastructure.\n\n* Automatically discover and expose unused GPU capacity in real time\n* Understand utilization patterns across teams and workloads\n* Receive executive-ready email reports on GPU usage and trends\n* AI driven insights from your cluster utilization metrics\n\n[Create an account](https://app.usechamber.io/signup) to start assessing your opportunity to run more workloads in minutes for free.\n\nWant to talk with us? Schedule a call with us [here](https://usechamber.io/#contact).\n\n![uploaded image](/media/?type=post&id=96703&key=user_uploads/239960/115e0dee-5122-4baa-96e8-49cba5cd9c37)\n\n",
        "url": "https://www.ycombinator.com/launches/P9j-chamber-autopilot-for-ai-infrastructure",
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        "created_at": "2026-01-13T05:47:42.096Z"
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        "title": "End Close: Solving payments reconciliation with AI Agents",
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        "body": "**TLDR**\n\nEnd Close is building automatic reconciliation for payments companies, replacing manual ops work with AI agents that automatically investigate and resolve every exception.\n\nOur team has 6 years of experience building systems to reconcile a trillion dollars annually.\n\n<https://youtu.be/5xral3GHBVs>\n\n**The Problem**\n\nEvery day, ops teams at payments companies spend hours manually investigating exceptions - transactions that didn't match, funds that can't be accounted for, discrepancies across banks, processors, and ledgers. Legacy reconciliation tools weren't built for this. They were designed for month-end close, not real-time fintech infrastructure. And the cost of getting it wrong is real: lost money, unreliable financials, and compliance exposure.\n\n**The Solution**\n\nEnd Close continuously ingests records from your banks, processors, and data warehouse - so exceptions are caught as soon as they arise, not weeks later during month-end close.\n\nAnd unlike most reconciliation tools that only tell you something is wrong, our AI agent handles exceptions end-to-end before they have time to compound - pulling context from connected systems, finding the root cause, and resolving them without looping in your team. Hours of manual investigation become minutes of autonomous work, with full transparency into every decision.\n\n![uploaded image](/media/?type=post&id=98256&key=user_uploads/348419/736cf82d-73f6-460b-9223-a963e79187e9)\n\n![uploaded image](/media/?type=post&id=98256&key=user_uploads/348419/0bda9aa6-2278-40a3-9a62-86649664fbf0)\n\n**About Us**\n\nSean and David are the co-founders of End Close.\n\nSean spent 6 years building the reconciliation org at Modern Treasury (S18) where he was the 2nd engineering hire, processing a trillion dollars in payments across 40 banks with 99.995% automation. He has built high volume ACH and Wire origination systems and is the primary contributor of the popular open-sourced LedgerSync library for integrating with legacy ERP providers.\n\nDavid is a second time founder, having previously gone through YC S19 with Unflow, helped creators earn $100k+ selling live classes online during COVID. Since then he led the error tracking team at PostHog (W20). He was responsible for launching and growing the product to thousands of customers in its first 6 months, the fastest growing in the company’s history. He also has experience as a product engineer at Intercom and Basecamp\n\n![uploaded image](/media/?type=post&id=98256&key=user_uploads/348419/a80251f9-c9b1-4dd7-933d-7b839bc0d243)\n\n**Our Asks**\n\nIf you team is unhappy with legacy solutions like Blackline or your ops team is wasting time manually reconciling payments, [talk to us today](https://calendly.com/sean-endclose/end-close-book-a-demo)",
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    "long_description": "Revion is building the operating system for Automotive Retail. Our first product helps Technicians automate administrative work, which drains 30-40% of their day. With Revion, Auto Retailers can service more vehicles and drive more high-margin Revenue. ",
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        "full_name": "Zaki GW",
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        "founder_bio": "Zaki is the Co-Founder and CEO of Revion. Prior to Revion, Zaki worked in GTM at Multiverse (backed by General Catalyst, Index etc.) and Investment Banking at Morgan Stanley and Citi. Zaki graduated from the London School of Economics with 1st Class Honours. ",
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        "full_name": "Hanbo Xie",
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        "full_name": "Lance Yan",
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        "tagline": "We give AI labs the training data that enables their frontier models to acquire taste",
        "body": "**TLDR:** Traverse is a data research lab focused on the hardest unsolved problem in frontier model training: **ambiguous, taste-dependent work**. \n\nWe capture real human behavior in highly controlled settings and turn judgment, taste, and long-horizon reasoning into high-fidelity environments for frontier models.\n\n<https://youtu.be/CsDg8PYfg64>\n\n**The Problem**\n\nReinforcement learning has already helped frontier models achieve superhuman ability in math and coding since these domains have very clean and deterministic feedback loops. \n\nHowever, the next frontier domains (law, healthcare, sales, writing, etc) aren’t as black and white. Current approaches fail to accurately represent subjective scenarios, despite these domains being where most of the economic value is.\n\n**The Solution**\n\nWe are building data factories to create high fidelity real life work environments at scale.\n\nTraverse captures what people actually think while doing their work; we are pioneering a new category of training data that is yet to exist.\\\n\\\n**If you’d like to understand the details, reach us at**\\\n[lance@traverse.so](mailto:lance@traverse.so)\\\n<https://traverse.so>\n\n![uploaded image](/media/?type=post&id=98535&key=user_uploads/2775848/4586ce6d-bd41-40af-9be6-586ab6226d02)\n\n",
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        "created_at": "2026-03-06T16:12:51.971Z"
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    "long_description": "Human-assisted development should be for novel ideation, not routine maintenance, bug fixes or incremental updates. Approxima is bringing you that future with agents that can scope work, code, validate their fixes end-to-end in sandbox environments and merge to production. Book a demo: https://calendly.com/ashish-selvaraj/approxima",
    "one_liner": "Your software should build itself.",
    "team_size": 2,
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "body": "tl;dr: One of the most manual parts of the hardware supply chain is procurement logistics. [Reframe](http://usereframe.ai/) makes getting your components painless and automated, exactly how it should be. Instead of spending precious engineering time manually tracking down parts or figuring out build schedules, Reframe takes over **end-to-end procurement** so **hardware teams can stay lean**. We coordinate with your vendors to automatically order your components, resolve any delays or component shortages, and ensure that your parts arrive on time. [Book a call](https://cal.com/bryan-zin/reframe-demo) with us to start **automating procurement** today.\n\n[Launch Video](https://youtu.be/ArVtij87hJA)\n\n👋 Hey everyone, [Eric](https://www.linkedin.com/in/eric-wiener/) and [Bryan](https://www.linkedin.com/in/bryan-zin/) are from Reframe (W26) and we’re bringing automation to the hardware supply chain.\n\nSpecifically, we’re starting with procurement. Designing components is just half the battle when it comes to making physical products. After an engineer finishes designing the parts, they then have to figure out the right people to source their parts and navigate through the logistics of payment, shipping, and delivery.\n\nRight now, most procurement teams at large enterprises, medium stage companies, and early start-ups are still using _emails, spreadsheets, and WeChat_ to manage billions of dollars of components that need to be shipped from all over the world. It’s an archaic process that is unfortunately part of either a start-up engineer’s job or costs a full-time role at larger companies. \n\nOur solution automates away all of the tedious work behind getting your parts delivered on time. We take your BOM as input, and track down each part in their individual supply chain, from the raw material vendor all the way to the assembly line. Whether it’s as simple as placing an Amazon order, or coordinating with an overseas manufacturer to fabricate parts and ship them across the world, our AI agents handle all the communication, coordination, and logistics. \n\nWhen parts are delayed, or when specs change, the Reframe Assistant dynamically update the BOM and build plans to provide clarity and transparency between different teams. When there is a part change that creates conflict between teams, Reframe creates a group chat between the relevant stakeholders and provides them with context to make fast decisions. \n\nOur native integration with Slack ensures that Reframe exists where you are. Simply tag the Reframe Assistant in the relevant thread or channel, and it will answer questions about your parts without you having to go through giant spreadsheets or emails. \n\n📞 [Book a call](https://cal.com/bryan-zin/reframe-demo) with us so we can **automate procurement** and you can keep shipping great products.",
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        "body": "Hey YC! 👋 We’re Arne and Raban the we’re building [Emdash](https://emdash.sh). An [open-source](http://github.com/generalaction/emdash) desktop app that lets you work with multiple coding agents at once. We’re calling it an Agentic Development Environment (ADE).\n\n<https://youtu.be/jdIPf2cxf6w>\n\n💬 **Problem**\\\nEvery time we used a coding agent, we'd start a task and ... wait. We tried running multiple agents on the same repo and ended up with branch chaos and merge conflicts. When a new model dropped – Opus, Codex, Gemini flash, Kimi, whatever – we had no clean way to test it against our current setup on the same task. We were bouncing between terminals, GitHub, and our IDE.\\\n\\\n⏩ **Solution**\n\n![uploaded image](/media/?type=post&id=97799&key=user_uploads/1755188/dd08968b-2b60-4a85-b998-e8cc9d017dfc)\n\nEmdash is an environment for agentic development that lets you run multiple agents side-by-side safely, review what each one did in one place, and create a PR when it looks right.\n\n🔍 **How it works**\n\n* Start a task → Emdash spins up a new git worktree so nothing touches your main directory\n* Choose any agent, out of 20+ providers(incl. Claude Code, Codex, Gemini)\n* Run multiple agents at once without conflicts\n* Compare diffs, make quick manual edits if needed, and create a PR\n\n🧰 **What’s included**\n\n* Worktree isolation per agent\n* Issue handoff from Linear / Jira / GitHub\n* One place to review diffs and ship PRs\n* Lifecycle scripts + CI/CD hooks\n* Best-of-N comparisons\n* Integrated file editor + browser preview\n* Remote project access via SSH\n\nWe natively embed \\~20 agent providers (including Claude Code, Codex, Continue, and Codebuff), so you can use the latest models inside the same workflow.\n\nTo get started run `brew install –cask emdash`or download directly from[ GitHub releases](https://github.com/generalaction/emdash/releases). We’re available on macOS and Linux.\n\n**🙏 Our Asks**\n\n1. Try [Emdash](https://emdash.sh/) - it’s free and open-source\n2. Give us a star on [GitHub](http://github.com/generalaction/emdash) **🌟**\n\nQuestions or feedback? Join our [Discord](https://discord.gg/m9APwzK4qd) or email us at [founders@emdash.sh](mailto:founders@emdash.sh)\n\n— Arne & Raban\n\n![uploaded image](/media/?type=post&id=97799&key=user_uploads/1755188/b2b6adc8-60e6-4701-9643-fa622c4a5e96)\n\n",
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        "title": "Samora: Multilingual and Production Grade Voice Agents",
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        "body": "# **TL;DR**\n\n[Samora](https://samora.ai/) runs multilingual, domain-aware AI voice agents for real inbound and outbound phone calls. We own deployment, monitoring, compliance guardrails, observability, and human escalation so companies don’t have to operate voice agents themselves.\n\n Our Launch Video: <https://youtu.be/YgXGz0OOvG8>\n\n# **The Problem**\n\nPhone calls still power core workflows: customer support, collections, verification, recruiting, outreach, feedback, and much more.\n\nIn production, calls are unpredictable. People interrupt. They switch languages mid-sentence. They use dialects. Audio quality is inconsistent. There is background noise. Networks drop. Conversations are policy-sensitive, and one wrong response can create compliance risk.\n\nVoice AI platforms make it easier to build agents. But once live, someone still has to manage runtime behavior, monitor edge cases, enforce policies, investigate failures, and handle escalation.\n\nMost teams do not want to build an internal AI voice operations function.\n\nWe learned this the hard way while scaling a voice agent to thousands of users across India as part of a national helpline. Linguistic diversity, code-switching, choppy lines, and local infrastructure constraints quickly exposed the gap between a working demo and a production system. Reliability, observability, and controlled escalation became non-negotiable.\n\n \n\n# **The Solution**\n\nSamora operates multilingual AI voice agents in production environments.\n\nWe handle:\n\n* Code-switching and dialect-heavy conversations\n* Strict policy enforcement and compliance controls\n* CRM, ATS, and ticketing integrations\n* Turn-level observability and structured explainability\n* Managed human escalation using trained Samora human operators when conversations become sensitive or uncertain\n\nCalls are fully logged and auditable. Customers can see what the agent heard, what rule was applied, what action was taken, and why it escalated.\n\nToday, Samora supports paying customers across financial services, recruitment, healthcare, consumer goods, automotive, and government workflows. In production, we have achieved 80 percent First Contact Resolution in support use cases, a 12 percent lift in collection rates for an auto finance company, and reached 100,000+ candidates while saving 1,700 recruiter hours.\n\n**_Most pilots go live in under a week._**\n\n If you operate high call volumes and do not want to own deployment, monitoring, and escalation of AI voice agents, reach us at [founders@samora.ai](mailto:founders@samora.ai).\n\n\\\nWe welcome introductions to teams facing similar challenges.\n\n ",
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        "title": "Caretta — Realtime AI for Sales Calls 🐢",
        "tagline": "Caretta’s realtime AI enables salespeople to handle the toughest technical conversations with pure confidence. ",
        "body": "Hey YC 🐢👋\n\nThis is [Kayra](https://www.linkedin.com/in/kayrabahadir/), [Pavlos](https://www.linkedin.com/in/pavlosmarkesinis/), and [Omar](https://www.linkedin.com/in/omarelamin/). Today we are excited to introduce you to Caretta.\n\n**TL;DR:** Caretta is a real time AI that enables salespeople to handle even the deepest product or technical questions in live calls. It learns from your documents, website, documentation, blogs, chats, internal playbooks, and your best performing reps.\n\n<https://youtu.be/TrIcVJWUe74>\n\n### **Problem**\n\nSales reps (BDRs and AEs) are often responsible for deeply technical products (and sometimes, many of them!). This makes everyone’s life hard:\n\n* Deals slow down when reps can't answer questions\n* Reps miss upsell opportunities due to lack of knowledge\n* Engineers get looped in prematurely and often\n\nThis stalls deals, and makes everyone inefficient. There must be a better way.\n\n### **How Caretta Solves It**\n\nCaretta is a realtime AI that enables AEs and BDRs to handle even deeply technical questions on live calls. It learns from everything: your documents, website, documentation, blogs, internal playbooks and any other scattered information to create your organisational intelligence. \n\nIn-call, Caretta listens in. If it detects that a rep needs any help, it brings up the answers to the questions a customer is asking – so they can answer any question confidently on the spot.\n\n![uploaded image](/media/?type=post&id=97398&key=user_uploads/2329217/1aaca260-ce32-4e9e-891c-0c24600917ac)\n\nAfter the call, Caretta joins your team in Slack, where the team can ask questions about meeting notes, do GTM analysis, track their to-dos, or draft a follow-up email. \n\nThe best part? \n\nCaretta **maintains and expands its knowledge** by listening to your team in Slack and your top-performing reps in their calls.\n\n### **Our Ask**\n\nIf you are scaling your sales team to 10+ upwards, we’d love to 10x your reps with Caretta. Make sure your reps don’t miss questions when it matters most with Caretta (especially your new hires).",
        "url": "https://www.ycombinator.com/launches/PKw-caretta-realtime-ai-for-sales-calls",
        "votes": 144,
        "created_at": "2026-02-02T16:43:44.713Z"
      }
    ]
  },
  {
    "id": 31208,
    "name": "Oximy",
    "slug": "oximy",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f253ec2ac4c62d3fd349aefdf584c9074cae87d.png",
    "website": "https://oximy.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Oximy is one platform to see every AI tool and dollar across your company, run your team’s work in an app you own, and route every request to the right model.",
    "one_liner": "Take command of the AI your company already runs on.",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1769530723,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/oximy",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/oximy.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/oximy",
    "x_url": "https://x.com/oximyhq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f253ec2ac4c62d3fd349aefdf584c9074cae87d.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 426038,
        "full_name": "Naman Ambavi",
        "title": "Founder/CEO",
        "founder_bio": "Founder, CEO at Oximy\n\nSpent 6 years watching enterprises panic about AI. Now I fix it.\n\nPrev. COO @ Induced (Backed by Sam Altman, Peak XV)\nPrev. Co-Founder & CEO @ Easocare (India's largest EMR app, acq. by top hospital group in India) ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/namanambavi",
        "x_url": "https://x.com/namanambavi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8003301cd8e5fff27a625766960d562b93db7933.jpg"
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    "launches": [
      {
        "id": 97538,
        "title": "Oximy: See everything your company does with AI",
        "tagline": "AI visibility and governance for the enterprise",
        "body": "\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/042dbaa7-b053-47f5-acd3-e6208af8971c)\n\nHey everyone, I'm Naman, founder of Oximy.\n\n**TL;DR:** Enterprises have dozens of AI tools with zero visibility into what's being used, what it costs, or where sensitive data is going. Oximy sits on your network and gives you the full picture. Discovery, spend intelligence, and data protection in one platform. We're processing millions of requests daily for enterprises in financial services and healthcare.\n\n**Ask:** If you're dealing with AI sprawl, shadow AI, or data governance challenges, we should talk.\n\n👉 Website: [oximy.com](http://oximy.com)\n\n👉 Book a demo: [oximy.link/demo](https://oximy.link/demo)\n\n<https://www.youtube.com/watch?v=kL-hr9OzsS0>\n\n**The Problem**\n\nAI adoption in the enterprise isn't slowing down. But visibility is basically zero.\n\nHere's what we hear from every company we talk to:\n\n* \"We have no idea how many AI tools our employees are using.\"\n* \"Finance keeps asking me what we're spending on AI. I can't give them a number.\"\n* \"Someone pasted our entire customer list into ChatGPT. We found out three weeks later.\"\n* \"We bought Copilot licenses for 500 developers. I couldn't tell you if it's actually helping.\"\n\nIt's not that companies don't care. It's that there's been no way to actually see what's happening.\n\nUntil now.\n\n**The Solution**\n\nOximy gives you three things: **Discovery**, **Spend Intelligence**, and **Data Protection**. They all connect into a single platform that gives you complete visibility into AI across your organization.\n\n**1. Discovery: See every AI tool in your org**\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/849af8fa-f0a1-48e1-b8da-b387511dc3fe)\n\nYou can't govern what you can't see. Oximy automatically detects and categorizes every AI tool your employees are using, sanctioned or not.\n\nNo surveys. No manual tracking. No waiting for expense reports to come in.\n\n_Example:_ A financial services company came to us thinking they had 15 approved AI tools. Within the first week, we found 63, including several free tools that employees had signed up for using personal emails. Their security team had no idea.\n\n**2. Spend Intelligence: Understand what AI actually costs**\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/fd25f8f5-af21-4004-838a-788412064fe6)\n\nAI spend is exploding, but it's scattered across teams, tools, and cost centers. Oximy consolidates everything so you can see exactly where money is going and where it's being wasted.\n\nWhich tools have overlapping functionality? Which licenses are sitting unused? Which teams are getting ROI and which aren't?\n\n_Example:_ A growth-stage tech company discovered their marketing, design, and product teams were all paying for different AI image generation tools, over $80K per year combined. They consolidated to one tool and redeployed the savings.\n\n**3. Data Protection: Know where sensitive data is going**\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/c7bb7815-1af8-47eb-8f65-d5c97ff6bd85)\n\nThe biggest AI risk is unintentional data leaks.\n\nEmployees paste customer info, source code, financial data, and internal strategies into AI tools every day. Most companies have no visibility into this until something goes wrong.\n\nOximy monitors data flows to AI tools in real time. You can set policies, get alerts, and block sensitive data from reaching unauthorized tools.\n\n_Example:_ A healthcare company set up Oximy and, within 48 hours, flagged an employee uploading patient records to an unapproved AI transcription tool. They were able to intervene immediately and avoid a potential HIPAA violation.\n\n**How It All Connects**\n\nMost companies try to solve these problems separately. A CASB for shadow IT. A spend management tool for costs. A DLP for data protection.\n\nThe problem is that AI doesn't fit neatly into any of these buckets. And none of them talks to each other.\n\nOximy is built from the ground up for AI. Discovery, spend, and data protection all live in one platform, so you get the full picture, not three partial views stitched together.\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/9cdcb6f7-149f-4101-a0b0-d118b8887e11)\n\nSee a new AI tool pop up? You immediately know who's using it, what it costs, and which data it accesses.\n\nSee a spike in spend? You can trace it back to specific teams and tools.\n\nSee sensitive data flowing somewhere it shouldn't? You can block it and trace it back to the source.\n\nEverything connects.\n\n**How It Works**\n\nWe integrate at the network layer, sitting on your firewall or proxy.\n\nWhy does this matter?\n\nBecause every AI tool communicates over the network. ChatGPT, Copilot, Midjourney, Claude, Gemini, and every new tool that launches next month. We don't need endpoint agents. We don't need individual integrations with each vendor. We see everything automatically.\n\nThis also means we're future-proof. When the next AI tool shows up, we're already watching.\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/4cd8ad8c-e125-4b7d-87e6-268edf631be7)\n\n**Why Now**\n\nTwo years ago, AI in the enterprise was experimental. A few people are trying ChatGPT. Maybe a Copilot pilot.\n\nNow it's everywhere. And governance hasn't caught up.\n\nCISOs are being asked, \"What AI tools are we using?\" and don't have an answer. CFOs are watching AI costs explode with no accountability. Boards are asking about AI risk and getting shrugs. Regulators are starting to pay attention.\n\nThe companies that figure out AI governance now will be the ones that can scale AI adoption safely. The ones that don't will either slow down and lose, or speed up and get burned.\n\nWe're working with enterprises in financial services, healthcare, and growth-stage tech companies. We process millions of requests every day across thousands of AI tools.\n\nIf any of this resonates, we should talk:\n\n* CISOs and security leaders who are trying to get a handle on AI risk\n* CIOs, AI Transformation, and IT leaders dealing with shadow AI and tool sprawl\n* CFOs and procurement who are trying to understand AI spend\n\n👉 **Website:** [oximy.com](http://oximy.com)\n\n👉 **Book a demo:** [oximy.link/demo](https://oximy.link/demo)\n\n👉 **Email me directly:** [naman@oximy.com](mailto:naman@oximy.com)",
        "url": "https://www.ycombinator.com/launches/PNC-oximy-see-everything-your-company-does-with-ai",
        "votes": 27,
        "created_at": "2026-02-05T16:42:04.228Z"
      }
    ]
  },
  {
    "id": 31210,
    "name": "Mendral",
    "slug": "mendral",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb8ab79d58a9a62e857747309cac10d5d41fbb2.png",
    "website": "https://mendral.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mendral is an AI DevOps Engineer that observes, diagnoses, acts, and learns continuously. It autonomously handles CI failures, flaky tests, slow builds, broken releases, and code reviews, improving with every build and run. Over time, Mendral evolves into a self-improving delivery system that manages performance, quality, security, and compliance, all without manual intervention.",
    "one_liner": "AI DevOps Engineer",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1769123342,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Inactive",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/mendral",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mendral.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mendral/",
    "x_url": "https://x.com/MendralHQ",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 152166,
        "full_name": "Sam Alba",
        "title": "Founder",
        "founder_bio": "Co-founder of Mendral | Your CI fixes itself now | Co-founder of Dagger | ex-Docker (1st hire, VP Eng)",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/samalba/",
        "x_url": "https://x.com/sam_alba",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc926ce244335041cca960cc40cc095cef743f0d.jpg"
      },
      {
        "user_id": 290895,
        "full_name": "Andrea Luzzardi",
        "title": "Founder",
        "founder_bio": "Fixing CI before AI breaks it. Co-founded Dagger (W19). Wrote Docker’s first lines of code in the earliest days. Ex-Google · Ex-Microsoft.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/aluzzardi/",
        "x_url": "https://x.com/aluzzardi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3eaaae593c75bb9897a2cd08fe563253f1030adf.jpg"
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    "news": [],
    "launches": [
      {
        "id": 97177,
        "title": "Mendral - AI DevOps Engineer",
        "tagline": "Mendral makes your CI green and fast",
        "body": "Hi YC! We are building **Mendral**, an **always-on AI DevOps Engineer**.\n\nMendral is managing CI/CD in production for 15 teams. 5 of them are paying customers, including [PostHog](https://github.com/PostHog/posthog/commits?author=mendral-app%5Bbot%5D).\n\nPreviously, we were founding engineers at Docker and later co-founded Dagger together.\n\n<https://youtu.be/QtTOpJ4kxpc>\n\n### The problem\n\nDev teams waste thousands of engineering hours chasing broken builds, flaky tests, and fragile pipelines. Most tooling is still pre-AI. It creates alerts and dashboards, but developers still do the work. Now, with coding agents accelerating code production, CI load and failure modes are only getting worse.\n\nTeams should not need dedicated platform-engineering headcount just to keep delivery from breaking.\n\n### What Mendral does\n\nMendral **observes → diagnoses → acts → learns** across your delivery pipeline.\n\nToday, Mendral can:\n\n* Diagnose CI failures (what changed, what failed, why)\n* Detect and mitigate flaky tests\n* Identify slow builds/runs and propose fixes\n* Help with code reviews tied to delivery reliability\n\nOver time, Mendral becomes a self-improving delivery system for **performance, quality, security, and compliance**, without needing dedicated DevOps/platform headcount for smaller teams.\n\n### Ask\n\nIf your team is dealing with **flaky tests, slow CI, or recurring build failures**, we’d love to help.\n\n[Request a demo](https://www.mendral.com/early-access) and we will onboard you in under five minutes.\n\n![uploaded image](/media/?type=post&id=97177&key=user_uploads/152166/a2689ea0-dd7f-46be-ab85-a6fdb00d464a)\n\n",
        "url": "https://www.ycombinator.com/launches/PHN-mendral-ai-devops-engineer",
        "votes": 57,
        "created_at": "2026-01-26T19:34:11.416Z"
      }
    ]
  },
  {
    "id": 31211,
    "name": "Sazabi",
    "slug": "sazabi",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fca2808f8b0ea2f65302051164b0360bec51746.png",
    "website": "https://www.sazabi.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The AI-native observability platform for fast-moving engineering teams. Backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more.",
    "one_liner": "The AI-native observability platform for fast-moving engineering teams",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1774488944,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sazabi",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/sazabi.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sazabi/",
    "x_url": "https://x.com/sazabi",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fca2808f8b0ea2f65302051164b0360bec51746.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 282099,
        "full_name": "Sherwood Callaway",
        "title": "Founder/CEO",
        "founder_bio": "Sherwood Callaway is a 2x YC founder and software engineer with over ten years of experience in infrastructure, DevOps, and observability engineering roles top VC-backed startups, including Crunchbase and Brex. Currently, he is founder and CEO at Sazabi, the AI-native observability platform for fast-moving engineering teams. Sazabi is directly inspired by Sherwood's experience at Brex, where helped start the company's infrastructure and observability engineering teams.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sherwoodcallaway/",
        "x_url": "https://twitter.com/shcallaway",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cff992998043fc6d5505a9c507528f4d1eb77ede.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "The End of Manual Debugging",
        "url": "https://www.youtube.com/watch?v=UGYnC9zqa-k",
        "date": "Mar 27, 2026"
      }
    ],
    "launches": [
      {
        "id": 102391,
        "title": "Sazabi - Datadog for the AI Era",
        "tagline": "AI-native observability platform for fast-moving engineering teams",
        "body": "# Sazabi - Datadog for the AI Era\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/bc8014f4-5e17-4c76-be1c-3bd2b6ba26ec)\n\nSazabi is a next-generation observability platform designed for fast-moving, AI-native engineering teams. If you're using Datadog, Sentry, Grafana, or Axiom today, you could be moving ten times faster with Sazabi. **Book a demo [here](https://calendly.com/d/cyn6-s9f-tfq/meet-sazabi).**\n\n### Rethinking Observability\n\nRight now, every engineering team in the world is coming to the same conclusion: it doesn't matter how fast you can ship if your app is constantly going down. The antidote to production instability is observability, but not the flavor we have today. \n\nLegacy observability platforms can’t keep up with the pace of modern AI-driven software development. They take hours or days to set up. They are complex and clunky to use. The alerts they give you are noisy and confusing. They aren't built to be used with agents.\n\nSazabi is what Datadog would look like if it were built in 2026 instead of 2010:\n\n* A simple chat-based user experience instead of endless dashboards. \n* Effortless agent-driven instrumentation that requires zero code or config changes. \n* Autonomous alerts that can contain all the relevant context and never misfire. \n*  A powerful CLI that gives your coding agent complete visibility into your observability data. \n*  Slack has the primary application entry point. \n* An AI agent that memorizes your codebase, architecture, traffic patterns, and past incidents.\n* Native integrations with every major cloud provider and hosting service.\n* A storage layer that uses AI for compression and is optimized specifically for agentic query patterns.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/3e5d80bd-59bd-43b3-bc72-ae9edc68a2ed)\n\n### How It Works\n\nYou can get started with Sazabi in less than 15 minutes. There are just three steps:\n\n1. Connect your GitHub repository \n2. Install the Slack app \n3. Start sending logs\n\nFor legacy platforms, instrumentation is a headache. With Sazabi, it's effortless. We've got integrations with over 35 of the leading cloud hosting services, including Vercel, AWS, GCP, Temporal, Cloudflare, Neon, Supabase, and more. If we don't have a native integration, Sazabi can open a pull request with the necessary instrumentation changes. Our log intake is OpenTelemetry compatible.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/563095d8-89fc-47cd-a4cf-94746d7540ff)\n\nAfter setup, a few things happen automatically: \n\n* Sazabi scans your logs and codebase to learn more about the system, registering all key services, components, and product features to a live status page that gives you an overall view of system health.\n* Sazabi's background agents begin monitoring your logs, codebase, and infrastructure for anomalies - everything from unfamiliar errors to traffic spikes to crash pods and failed deployments. \n* When an issue is detected, Sazabi sends you a rich Slack alert with all the relevant context, including the root cause.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/f676f9dc-0af4-4c31-873f-abc1172484fe)\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/c81d2281-add8-4645-b873-524affd0d0ee)\n\nYou and anyone from your team can send Sazabi a follow-up message via Slack, CLI, Web, or MCP. Sazabi is great for ad hoc questions and queries too. Sazabi automations allow you to generate detailed reports at any cadence.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/b8ab228d-23a7-40d2-960d-c469c6d25f19)\n\nAfter receiving an alert, you can fix it directly with just a click of a button. Sazabi will open the pull request against your repo. If you prefer to use a different coding agent, it’s easy to hand off context -  Sazabi has integrations with Cursor, Codex, and Claude Code.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/a95e8ecc-befb-4e31-a7a9-5523adea2548)\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/be62eeb2-a73f-431a-b99a-64823dc8fdc2)\n\nTeams that use Sazabi are detecting issues they didn’t know they had and resolving incidents in minutes instead of hours.\n\n### Logs Are All You Need\n\nSazabi is based on a few big ideas. The most important one: “logs are all you need”. \n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/135568da-6b42-4f54-8e27-2e9d9d349f46)\n\nWhat this means is that Sazabi doesn't require users to send metrics or traces. You only need to send us logs (stdout and stderr). Sazabi is able to answer complex queries, perform aggregations, profile endpoints, and trace requests through your entire system using just log data. The result is a much simpler instrumentation experience for you and your team, with all the power of a traditional observability platform.\n\n### What Makes Us Different\n\nA lot of companies are building in observability right now. How is Sazabi different?  Here’s how we think about the landscape:\n\n*  **AI SRE startups like Traversal and Resolve.** These sit on top of third-party systems like Datadog. It's an approach that makes sense for enterprises that rely on legacy tools, but not the best solution. Sazabi has its own storage layer.\n* **DIY solutions like Ramp’s “On-Call Assistant”.** It’s great to see so many companies building internal AI SREs. It proves demand, but it doesn't make sense for each company to build their own - especially when Sazabi is offering a better agent off-the-shelf.\n* **Legacy players like Datadog, Grafana, Sentry, and Axiom.** You can try to use Claude Code with the Datadog MCP, and it will work OK, but not great.  importantly, this approach isn't stateful. Each investigation is completely new. Sazabi, on the other hand, accumulates memory and constantly gets better. More fundamentally, all of these companies predate AI agents and are structurally misaligned with AI.\n* **LLM observability companies like Arize, Braintrust, LangChain, and Raindrop.** These are a narrow point solution for building and observing agents. Sazabi can do this too, but its scope is much broader than that. It's a general solution for observing any workload. We think that in the long-term there is no meaningful difference between observing agents and other types of software.\n\nSazabi's most important differentiator is our vertical integration. We're building every piece of the AI observability stack:\n\n* The interfaces\n* The agent\n* The storage layer\n\nThe allows us to do things our competitors fundamentally can't, like analyze and memorize every historical incident, or optimize our DB for the specific query patterns of our agent. It's an Apple-style approach to observability. \n\n### Where We Are Today\n\nSazabi is currently in closed alpha, but we’re growing fast. In the past month we’ve onboarded 35 new teams, run 8,000 background investigations, detected 2,000 issues, ingested 2 TB of logs, and opened 200 PRs.  \n\nSazabi is founded by Sherwood Callaway, a two-time YC founder who previously started the infrastructure and observability teams at Brex. We’re a team of nine engineers in total, including three early members of the Brex team and two former observability founders. \n\nOur investors include angels from top AI dev tools and infrastructure startups. To name a few:\n\n* Harrison Chase, CEO of LangChain\n* Merrill Lutsky, founder and CEO of Graphite\n* Ivan Burazin, founder and CEO of Daytona\n* Matt Biilmann, founder and CEO of Netlify\n* Paul Klein, founder and CEO of Browserbase\n\n### Our Ask\n\nSazabi is currently in closed alpha, but we’re onboarding new customers daily. Teams that sign up through Launch YC post skip to the front of the line. \n\n**Book a demo [here](https://calendly.com/d/cyn6-s9f-tfq/meet-sazabi).**\n\n[sherwood@sazabi.ai](mailto:sherwood@sazabi.ai)\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/5f60765a-676b-4887-87d2-ad833c48d4a9)\n\n",
        "url": "https://www.ycombinator.com/launches/QdT-sazabi-datadog-for-the-ai-era",
        "votes": 44,
        "created_at": "2026-06-01T19:58:02.757Z"
      }
    ]
  },
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    "id": 31212,
    "name": "Constellation Space",
    "slug": "constellation-space",
    "former_names": [
      "Constellation"
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    "website": "https://constellation.space/",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Constellation Space is building the autonomous infrastructure layer for the next generation of space networking. As satellite constellations rapidly scale from hundreds of nodes to tens of thousands, traditional ground-based orchestration fundamentally breaks down. ConstellationOS bridges this gap by providing zero-intervention network handoffs, predictive thermal load-balancing, and sub-second optical routing.\r\n\r\nOur founding team spent years building and operating satellite systems at SpaceX, Blue Origin, and NASA. We started Constellation to solve the problem we kept running into: reactive monitoring doesn't scale.\r\n\r\nWe are building the sub-second routing protocols and hyperscale load-balancing infrastructure that will manage the future of off-world telecommunications and compute. \r\n\r\nhello@constellation-io.com",
    "one_liner": "AI operating system for mega-scale satellite networks. ",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1766273553,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/constellation-space",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/constellation-space.json",
    "year_founded": 2025,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/constellation-io",
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    "cb_url": "https://www.crunchbase.com/organization/constellation-space",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 3119155,
        "full_name": "Kamran Majid",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Constellation | ex. SpaceX, NASA",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kamran-majid/",
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      {
        "user_id": 1939138,
        "full_name": "Laith Altarabishi",
        "title": "Founder",
        "founder_bio": "Building Constellation - AI for satellite mission assurance.",
        "is_active": true,
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        "user_id": 3119165,
        "full_name": "Raaid Kabir",
        "title": "Founder",
        "founder_bio": "building constellation | prev. @ blue origin",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raaid-kabir/",
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      },
      {
        "user_id": 1939094,
        "full_name": "Omeed Tehrani",
        "title": "Founder/COO",
        "founder_bio": "co-founder of constellation space ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/omeedtehrani",
        "x_url": "https://x.com/omeedtehrani",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39db054c865b934cc65c9d52710716dfb9157636.jpg"
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    "news": [
      {
        "title": "Meet The New Y-Combinator Startups Poised To Change Tech",
        "url": "https://www.forbes.com/sites/dariashunina/2026/03/16/21-most-promising-startups-from-y-combinators-latest-batch/",
        "date": "Mar 16, 2026"
      },
      {
        "title": "Startup Radar: Meet 5 new early stage tech companies in Seattle – GeekWire",
        "url": "https://www.geekwire.com/2025/startup-radar-meet-5-new-early-stage-tech-companies-building-in-seattle/",
        "date": "Nov 21, 2025"
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    ],
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      {
        "id": 96699,
        "title": "Constellation — The Operating System for Space",
        "tagline": "We're building AI for satellite mission assurance. ",
        "body": "## **TL;DR**\n\nConstellation is an AI-powered operating system for satellite constellation management. We predict link failures before they happen (90%+ accuracy) and autonomously reroute traffic in under 2 seconds—zero data loss, zero human intervention.\n\n<https://youtu.be/QCmIZzADXzI>\n\n---\n\n## **The Problem**\n\nThere are 10,000 satellites in orbit today. There will be 70,000 by 2030.\n\nNetwork failures already cost the industry **$2.5 billion per year**—and the old model of managing these networks manually doesn't scale to thousands of satellites.\n\nToday's satellite operators are stuck in reactive mode: something breaks, engineers scramble, data gets lost, SLAs get violated. The tools were built for a world with dozens of satellites, not thousands.\n\nAs constellations grow, the complexity compounds. Weather events, atmospheric interference, traffic spikes, hardware degradation—all happening across a global network, 24/7. No human team can monitor and respond fast enough.\n\n---\n\n## **The Solution**\n\nConstellationOS is an AI-driven operating system that makes satellite networks autonomous and resilient.\n\n**What it does:**\n\n* **Ingests telemetry** from satellites, ground stations, and weather systems—over 100,000 messages per second\n* **Predicts failures** using advanced ML models (atmospheric, signal quality, network topology, traffic patterns)\n* **Autonomously acts** to reroute traffic, execute handoffs, and rebalance load—all in under 2 seconds\n\nThink of it as autopilot for your satellite network. We give you a 5-minute early warning window before failures happen, then handle the response automatically.\n\n**The result:** Zero data loss. Zero human intervention. Massive cost savings.\n\n![uploaded image](/media/?type=post&id=96699&key=user_uploads/3119155/e124d84e-3575-4be4-8460-e95f51f36d54)\n\n---\n\n## **Why Us**\n\nOur team has worked on this exact problem for years at **SpaceX**, **Blue Origin**, and **NASA**. We've seen firsthand how current tools break down at scale—and we've built the systems that need to replace them.\n\n![uploaded image](/media/?type=post&id=96699&key=user_uploads/3119155/dddc1558-c6af-474e-8c06-11bf56e91b0f)\n\nWe're not theorizing about satellite operations. We've lived it.\n\n---\n\n## **Traction**\n\nWe're currently in the design partner phase testing with a couple of commercial/government operators.\n\n---\n\n## **Ask**\n\nIf you're **operating a satellite constellation**—whether defense, commercial broadband, Earth observation, or IoT—we'd love to talk.\n\nWe're looking for design partners who want to move from reactive firefighting to proactive, autonomous network management.\n\n**Book a call:** <https://calendly.com/kamran-constellation-io/15-minute-demo-call>\\\n**Say hi!:** [hello@constellation-io.com](https://mailto:hello@constellation-io.com)\n\n---\n\nWe're Constellation, and we're building the operating system for space.\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=96699&key=user_uploads/3119155/124cef60-6956-4d35-b28f-21d6da6f7329)\n\n—\n\nKamran Majid, Raaid Kabir, Omeed Tehrani, Laith Altarabishi (Constellation, W26)",
        "url": "https://www.ycombinator.com/launches/P9f-constellation-the-operating-system-for-space",
        "votes": 46,
        "created_at": "2026-01-12T08:11:01.884Z"
      }
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  },
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    "id": 31213,
    "name": "Byteport",
    "slug": "byteport",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/515fbb960faad853499593966f0f18335db6e845.png",
    "website": "https://byteport.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Founded in 2025, Byteport is a technology company that builds mission-critical network infrastructure for robotics, satellite, AI, and enterprise applications all over the world. Businesses of every size—from new startups to public companies—use our software to accelerate file transfer online.",
    "one_liner": "Global upload acceleration for 1GB-100TB files.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1768498499,
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/byteport",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/byteport.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
      {
        "user_id": 1403946,
        "full_name": "Jayram Palamadai",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Byteport | CERN, Netflix",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jayram-palamadai/",
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      {
        "id": 98332,
        "title": "Byteport - Transfer Large Files 2-10x Faster than TCP",
        "tagline": "Every file you've ever uploaded uses a protocol designed in 1974. We built the replacement.",
        "body": "**TL;DR:** Byteport’s Dynamic Accelerated Record Transfer (DART) is a new file transfer protocol typically 10x faster than TCP. With DART, applications like AI, robotics, and video data can move files from 1GB - 100TB from any source to any destination in one click.\n\n<https://www.youtube.com/watch?v=SNTyLnr9vSo>\n\n**The problem:**\n\nIt’s extremely difficult and expensive to move data quickly. Fortune 500 companies regularly ship their data in trucks. Current infrastructure still requires extensive hardware, software, network configuration, and time.\n\nByteport has changed this.\n\n**The solution:**\n\nOur accelerated file transfer protocol is capable of moving files between any two endpoints on the internet with zero configuration.\n\nWith a single installation, your laptop/robot/sensor can send data 10x faster than before. On unreliable connections like cellular/LTE/satellite, Byteport regularly shows speedups of 1000x (yes, really); giving you the ability to send files _anywhere_, at speeds previously thought impossible.\n\n**Why this matters:**\n\nIf you work with big data, you are likely throwing away your biggest competitive advantage.\n\n* Robotics teams delete up to 96% of their sensor data every day.\n* Foundation/AI models drift by up to 5% daily because they can’t perform nightly fine-tuning, like OpenAI does.\n* SaaS / Data distributors lose weeks every sales cycle building custom connectors and convincing enterprises they’re secure enough.\n\nWhy is so much value left on the table? Data volume.\n\n**What YOU unlock with DART’s 10x data speed:**\n\n* Robotics data hits the cloud immediately - robots otherwise take up to 7 days to learn if they made a mistake.\n* AI teams get 10x more ablations/evals/fine-tunes.\n* SaaS / Big Data teams can pass security reviews without needing SOC 2 and charge 2-3x for data delivery (their “custom connector” = Byteport).\n\n**Ready to DART?**\n\nNetwork bottlenecks don’t just take away your biggest competitive moat, they also waste your time and money. Byteport can change that.\n\n* Book a call: <https://cal.com/byteport>\n* Email us: [info@byteport.io](mailto:info@byteport.io).",
        "url": "https://www.ycombinator.com/launches/Pa0-byteport-transfer-large-files-2-10x-faster-than-tcp",
        "votes": 17,
        "created_at": "2026-03-02T17:16:54.201Z"
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    "id": 31215,
    "name": "Bubble Lab",
    "slug": "bubble-lab",
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    "website": "https://bubblelab.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bubble Lab helps event organizers and professional communities turn a room full of people into meaningful connections. We help them understand who’s in the room, identify who should meet, make the introduction, and remember those relationships for the next event.\r\n\r\nAttendee enrichment, matchmaking, searchable member directories, applications, payments, Luma and Slack sync, onboarding, and analytics all live in one place, so a single operator can run better gatherings and build a smarter community over time.",
    "one_liner": "Turn gatherings into lasting relationships.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1764881455,
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      "Operations",
      "AI"
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    "batch": "Winter 2026",
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    "regions": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/bubble-lab",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bubblelab-ai/",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 2131392,
        "full_name": "Selina Li",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO of Bubble Lab, previously cofounder of gymii.ai | UPenn '23, Cornell Tech MEng '25 | Competitive golfer",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/selina-li-2624a4198/",
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      {
        "user_id": 1374763,
        "full_name": "Zach Zhong",
        "title": "Founder/CTO",
        "founder_bio": "I like to automate everything\nCornell Tech CS'25, UCSD CS'24\nPrev co-founded gymii.ai\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zzy0516",
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        "id": 98131,
        "title": "Bubble Lab - Supercharge your Ops work in Slack",
        "tagline": "Meet Pearl, your super-employee that handles your ops tasks in slack",
        "body": "Hey everyone! 👋\n\nWe’re [Selina](https://www.linkedin.com/in/selina-li-2624a4198/) and [Zach](https://www.linkedin.com/in/zzy0516/) from Bubble Lab. \n\n**TL;DR:** Bubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack. Pearl connects to tools like Notion, Jira, and Stripe and runs real operational workflows for your team—no engineering required.\n\n**THE PROBLEM** ❌\n\nOperations work today is fragmented across dozens of tools. Updating CRMs after calls, generating reports, triaging customer issues, and coordinating workflows all require constant context switching and manual effort.\n\nAutomating these processes is even harder. Existing tools are brittle, require engineering time, or live outside where teams actually work. As a result, most ops teams still rely on manual processes, even for repetitive, predictable tasks.\n\nThis slows teams down and makes it harder to scale operations without scaling headcount.\n\n**OUR SOLUTION** 👷\n\nDemo: <https://youtu.be/BIvOZCGgRSA>\n\nBubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack in under a minute.\n\nWe’re already powering 4,000+ operators and fast-moving teams.\n\nPearl connects securely to your tools— Notion, Jira, HubSpot, Stripe, Google Workspace, and more—and can take action on your behalf. Teams use Pearl to:\n\n* Update HubSpot automatically after sales calls\n* Create Jira tickets from user feedback\n* Generate daily pipeline and revenue reports\n* Track and follow up on open invoices\n* Run operational workflows triggered directly from Slack\n\nWhen something needs to be repeated, Pearl turns it into a reliable workflow your team can run anytime.\n\nInstead of switching between tools or building custom automation infrastructure, teams can run and manage operations entirely from Slack.\n\n **OUR ASK 🙏**\n\nIf you run ops or growth at your company, we’d love to hear from you.\n\nTry Bubble Lab:[ https://bubblelab.ai](https://bubblelab.ai)\n\nWe’re especially excited to work with teams that want to automate operational workflows across their stack without engineering overhead.",
        "url": "https://www.ycombinator.com/launches/PWl-bubble-lab-supercharge-your-ops-work-in-slack",
        "votes": 7,
        "created_at": "2026-02-24T14:13:32.293Z"
      }
    ]
  },
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    "id": 31216,
    "name": "Archal",
    "slug": "archal",
    "former_names": [
      "Archal Labs"
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    "website": "https://www.archal.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Archal provisions sandboxes with the API environments your CI, tests, and evals need. Your coding agent can start the sandbox & environments, connect to your API integrations, run tests, and inspect state changes. Sandboxes and environments are startable within seconds and take milliseconds to reset.",
    "one_liner": "API sandboxes, built for AI agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1776709029,
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      "Developer Tools",
      "API",
      "Infrastructure",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/archal",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/archal.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/archal-labs",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
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        "user_id": 2037605,
        "full_name": "Aidan Tiruvan",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Archal; API sandboxes built for AI agents\nPrev ML research at Scale AI & NASA",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aidantiruvan/",
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    "launches": [
      {
        "id": 111649,
        "title": "Archal: API sandboxes, built for AI agents",
        "tagline": "Test API integrations without test accounts, rate limits, or messy state.",
        "body": "> **TLDR:** Create an API sandbox with the environments your CI, tests, and evals need. Your coding agent can start the API sandboxes (e.g Linear, Slack, Datadog), run tests, and inspect state changes. Ask your agent about archal.ai!\n\nHi everyone, I'm Aidan, the founder of Archal. I previously built agent environments at Scale AI and I've been an avid developer for most of my life, which led me to the problem Archal poses to solve.\n\n[https:/youtu.be/pUfu1RFDYVk](https://youtu.be/pUfu1RFDYVk)\n\n**What we found**\n\nCoding agents are getting much better at writing integrations, but testing those integrations is still painful. Many providers do not offer a usable sandbox, so developers fall back to throwaway accounts, shared test workspaces, or thin mocks. Those options are difficult to reset and make it hard to know whether an agent actually completed a task or only returned a plausible response.\n\nAs Adam Bender at Google put it, “But with 10x more code and 10x more services, integration tests are going to become the most important part of your quality strategy.” (Google, Software engineering is at the tipping point)\n\n**How Archal works**\n\nWith all of this in mind, I built Archal for a starting point of how the next generation of devs will do QA. It's a tool focused on giving agent developers and integration engineers API sandboxes of the SaaS platforms they use in prod pipelines. With Archal, a developer or their coding agent can start a sandbox, run the task, inspect what changed, and reset everything for the next test. We eliminate the need of separate test accounts, thin mocks and stubs, as well as overburdening rate limits on provider-owned sandboxes.\n\n**Our ask**\n\nWe're giving out $20 in Archal credits to each new developer that signs up and starts a sandbox. We’d love for you to give it a try and give us feedback, cheers to making testing easier in the era of coding agents!",
        "url": "https://www.ycombinator.com/launches/T2n-archal-api-sandboxes-built-for-ai-agents",
        "votes": 61,
        "created_at": "2026-08-22T21:00:00.317Z"
      }
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  },
  {
    "id": 31217,
    "name": "Polymath",
    "slug": "polymath",
    "former_names": [
      "Palette AI"
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    "website": "https://polymathlabs.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Polymath is a data lab focused on improving long-horizon agent capabilities and alignment.\r\n",
    "one_liner": "Simulation environments to train & evaluate long-horizon AI agents",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1769103780,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/polymath",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/polymath.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/polymath-ai-labs",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
      {
        "user_id": 3198256,
        "full_name": "Dylan Ma",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder / CEO @ Polymath. Previously @ Hume AI, AWS, UC Berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dylan-ma-45725b158/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e7ea3e3207c15119f58ee39355aa19ac3745420.jpg"
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      {
        "user_id": 3217273,
        "full_name": "Naren Yenuganti",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder / CTO @ Polymath. Previously @ Plaid, Amazon, UC Berkeley\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/narenyenuganti/",
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    "jobs": [
      {
        "id": 93737,
        "title": "Member of Technical Staff - Engineering",
        "url": "https://www.ycombinator.com/companies/polymath/jobs/t8l6gRt-member-of-technical-staff-engineering",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93738,
        "title": "Member of Technical Staff - Research",
        "url": "https://www.ycombinator.com/companies/polymath/jobs/N7ZQQxs-member-of-technical-staff-research",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Meet The New Y-Combinator Startups Poised To Change Tech",
        "url": "https://www.forbes.com/sites/dariashunina/2026/03/16/21-most-promising-startups-from-y-combinators-latest-batch/",
        "date": "Mar 16, 2026"
      }
    ],
    "launches": [
      {
        "id": 98237,
        "title": "Polymath",
        "tagline": "Simulation environments to train & evaluate long-horizon AI agents",
        "body": "## Problem\n\nWe’re at the very beginning of the agent era. The demand for AI is shifting from models that simply answer questions to agents that can operate autonomously over days and weeks. Models have become incredibly proficient at short tasks, but fail when asked to perform **long-horizon work** that requires proficiency with a **diverse set of tools**.\n\n![uploaded image](/media/?type=post&id=98237&key=user_uploads/2471616/0489f25a-b235-4d6f-ade3-86a0a5b4897c)\n\n(source: <https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/>) \n\nStatic datasets are no longer sufficient. To improve the performance of autonomous agents, they must be trained inside environments that reflect the real world.\n\nToday, most RL environments are narrow in scope, test isolated workflows, deal with static data, and produce rollouts that take on the order of minutes to complete. Innovation in environment technology is needed in order to train agents that can perform reliably over extended durations without human guidance.\n\n## Solution\n\nPolymath builds **simulated worlds where AI agents learn to operate autonomously over long horizons**. Our environments combine running applications, real tools, and multi-step tasks that reflect the complexity of real work. Instead of solving small, isolated problems, agents learn by completing end-to-end work inside living systems that evolve over time. We train agents on tasks that could take humans days of effort to complete. To perform these tasks effectively, agents need to exercise good judgement under ambiguous circumstances, and respond to changes in the environment.\n\n## Horizon-SWE\n\nWe recently launched Horizon-SWE, a benchmark that drops frontier models into a simulated software company.\n\nIt consists of a **running application, real tools, and long-horizon tasks** covering the entire software development lifecycle (planning, coding, testing, deployment, monitoring). The benchmark measures the ability of AI agents to perform **end-to-end SWE tasks**, as opposed to code generation alone. Leading models score around 25% on the benchmark.\n\nRead more about our methodology here: <https://www.polymathlabs.ai/blog/horizon-swe>\n\n![uploaded image](/media/?type=post&id=98237&key=user_uploads/2471616/a86c29a4-fcff-4ae9-a7fe-53bdf6234300)\n\n## Team\n\nPolymath is a team of researchers and engineers from UC Berkeley, Hume AI, Plaid, and Amazon. We have years of experience post-training frontier models in industry, and building large-scale data systems.\n\nDylan previously led post-training research and data at Hume AI. He launched the first generative AI features at AWS model inference, and received the Amazon Inventor Award. Dylan studied Computer Science at UC Berkeley, and conducted research in reinforcement learning at Berkeley Artificial Intelligence Research (BAIR), and ML systems at the RISE Lab. He is a recipient of the National Science Foundation (NSF) Fellowship.\n\nNaren led the development of Plaid’s credit monitoring system from the ground up, building infrastructure that now supports millions of business-critical transactions daily. At Amazon, he was a core contributor to large-scale ML systems powering critical logistics workflows. Naren studied Electrical Engineering & Computer Science at UC Berkeley, and conducted research in ML systems at Berkeley Artificial Intelligence Research (BAIR).\n\nIf you work at a frontier lab and are interested in acquiring environments, or know someone who is, we’d love to chat! ([founders@polymathlabs.ai](mailto:founders@polymathlabs.ai))",
        "url": "https://www.ycombinator.com/launches/PYT-polymath",
        "votes": 43,
        "created_at": "2026-02-26T21:15:33.940Z"
      }
    ]
  },
  {
    "id": 31221,
    "name": "Netter",
    "slug": "netter",
    "former_names": [
      "Netter AI"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2e86ec70fa3e3c6a1b8dc9f39e6aa2b5b7b5952.png",
    "website": "https://netter.ai",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Netter (YC P26) helps companies regain control over their data, so teams can pilot their activities with high precision.\r\n\r\nMost companies are sitting on years of valuable data, spread across different formats and disconnected tools that don't talk to each other.\r\n\r\nNetter brings technical capacity to companies that don't have an army of data engineers, and tackles their most complex data challenges.\r\n\r\n- A nursing home group was chasing unpaid invoices manually across disconnected tools. Netter centralized the collection workflows, automated reminders, real-time visibility, task routing.\r\n- A retail chain had years of loyalty card data sitting unused. Netter cross-referenced it with public demographic data to build precise customer segments and trigger the right promotions to the right people.\r\n",
    "one_liner": "AI agents for data science (enterprise)",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1778028550,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Analytics"
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    "regions": [
      "France",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/netter",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/netter.json",
    "year_founded": 2026,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/netterai/?viewAsMember=true",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 2161871,
        "full_name": "Samuel Ladroue",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Netter (P26). Studied Mathematics and CS at Mines Paris.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samuel-ladroue/",
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      {
        "user_id": 3140846,
        "full_name": "Amin Hamzaoui",
        "title": "Founder",
        "founder_bio": "Co-Founder & CTO at Netter AI (P26).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/amin-hamzaoui/?locale=en_US",
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      {
        "id": 101627,
        "title": "Netter: Full stack data scientist agents",
        "tagline": "Netter helps companies regain control over their data so teams can pilot their activities with high precision.",
        "body": "**TL;DR**: We help mid-market companies (like nursing homes, logistics, retail) to crack their most painful data problems. From observability across sites and systems, to cash reconciliation workflows to occupancy rate prediction. We take care of cleaning the data and deploy the right outputs.\\\n\\\n[https://drive.google.com/file/d/1cuPoMAIceD2vlAWCkWIZ6uaNbs8W7ZmF/view](https://drive.google.com/file/d/1cuPoMAIceD2vlAWCkWIZ6uaNbs8W7ZmF/view?usp=sharing)\n\n**I - The problem**\n\nTraditional mid-market companies lack technical capacity to use the data they are sitting on.\n\nThey can’t hire an army of Data / Software Engineers so they loose precious margin points.\n\n**II - What we do**\n\nWe are building Netter to bring data excellence into their operations.\n\nNetter is a full stack data platform based on data scientists agents. \n\nWe connect to data sources, build pipelines and deploy use cases (operational apps, ML models, AI workflows). \n\nCompanies get a plug and play solution to pilot their activities with high precision.\n\n**III - Concrete examples**\n\nHere are three use cases we deployed at the 1st and 4th European Nursing Homes.\n\n**Receivables collection**: Payments and invoices lived in separate tools that didn't talk to each other. We first reconciled the two, then deployed a matching algorithm to automate the collection process through an intelligent workflow, one that follows business rules and triggers actions once its confidence threshold is reached.\n\n**HR anomaly detection**: Certain patterns were going completely unnoticed: recurring absenteeism, fixed-term contracts renewed on loop, abnormal overtime. We plugged a detection engine into their existing HR data, surfacing these weak signals continuously and suggesting action plans, before they turned into real hidden costs.\n\n**Occupancy rate prediction**: Nursing homes struggle to anticipate pressure on their beds, often because occupancy data isn't aggregated in real time. We deployed a forecasting model that consolidates occupancy by unit, predicts the next 24 hours, and gives teams early visibility to adjust resources before things get critical.\n\n[netter.ai](http://netter.ai)",
        "url": "https://www.ycombinator.com/launches/QR9-netter-full-stack-data-scientist-agents",
        "votes": 5,
        "created_at": "2026-05-21T06:23:41.147Z"
      }
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    "id": 31222,
    "name": "Superset",
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    "website": "https://www.superset.sh/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Superset is an open-source IDE that helps engineers run 100s of coding agents in parallel.\r\n\r\nOur desktop app is loved by tens of thousands of engineers, and we're scaling out our effort to build a collaborative, cross-platform tool to allow users to code anywhere.",
    "one_liner": "Building self-improving software",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1772696752,
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      "Consumer",
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      "Enterprise Software",
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    "regions": [
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      "America / Canada"
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    "country": "US",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 276516,
        "full_name": "Kiet Ho",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Superset\nprev cofounder at Onlook (W25), swe at Amazon, ServiceNow",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kiet-ho",
        "x_url": "https://x.com/FlyaKiet",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be990abee447e67c96fc01cb7c94ab41f17d7381.jpg"
      },
      {
        "user_id": 667926,
        "full_name": "Satya Patel",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Superset\nformer CTO of Untether Labs (YC W23), Google, Amazon",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/saddlepaddle/",
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        "full_name": "Avi Peltz",
        "title": "Founder/CPO",
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        "tagline": "The fastest growing open source agentic IDE: 11K stars + thousands of daily active users",
        "body": "**_TL;DR_ [Superset](https://superset.sh/)** is a terminal-first IDE with built-in agents management, PR review, and remote workspaces; built for running coding agents in parallel.\n\nSuperset is a daily driver for great teams including YC companies, engineers at Wix, DoorDash, Netflix, and major OSS products/projects including [homebrew](https://github.com/Homebrew/brew), [mastra](https://github.com/mastra-ai/mastra), [browser-use](https://github.com/browser-use/browser-use) and many more\\\n\\\nCheck out our fun video interviewing some of our users 👇\n\n<https://www.youtube.com/watch?v=r_d_eYBV8cI>\\\n\\\nWe're Avi, Kiet and Satya\\\n\\\nThe future workspace for software development looks less like a text editor based IDE and more like a tool to help devs manage multiple Claude Code or Codex sessions, setup automations and workflows for coding agents, aggregate context from tickets, logs, etc, and efficiently review changes.\\\n\\\nSince launching just 5 months ago:\n\n* **11K+ Github stars** and **75+ contributors,**\n* Used as the daily driver in great teams including YC companies, engineers at OpenAI, Google, Vercel, and major OSS products/projects including [homebrew](https://github.com/Homebrew/brew), [mastra](https://github.com/mastra-ai/mastra), [browser-use](https://github.com/browser-use/browser-use) and many more\n* A thriving community with **5K+ followers on X**, **1K+ members on Discord.**\n* Got **#1 on Product hunt** and **top 4 on HN twice**\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/5bfff019-f7dd-4262-b872-67641385eb17)\n\nX has been very supportive:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/42ce6b2b-21fd-4d1b-9bcb-a00fecd85d52)\n\n\\\nCTO of Mastra:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/3e7afc9f-1023-4d20-a701-324ecbc44273)\n\nVercel about Superset:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/66749d1b-feea-4eb0-a2ba-3afb1a84e76a)\n\nPrinciple Engineer at Cloudflare\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/12c60756-7b29-45e8-96d4-72d9563979bb)\n\nCTO of Browser Use:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/54080db5-f070-4d19-bf19-f9782075b1b0)\n\n\\\n**Superset Product Tour**\\\n<https://www.youtube.com/watch?v=YWDHn7gUwfg>\\\n**\\\nPlease try us and give us your feedback:**\n\nStar the repo: <https://github.com/superset-sh/superset>\\\nsend us your feedback: [hello@superset.sh](mailto:hello@superset.sh)\n\nTry superset: <https://superset.sh/>",
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        "full_name": "Nikhil Reddy",
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        "title": "Datoric | Trustworthy data for the next generation of models",
        "tagline": "Collecting the human experience AI needs, securely.",
        "body": "Datoric provides custom, security-first training data for voice models, robotics, and world models. Our private, project-specific contributor systems have led to a dramatic improvement in quality for customers and helped us generate nearly seven figures in revenue over the last 30 days.\n\n## **Our background**\n\nIn 2023, we built large-scale automations that completed paid LLM training tasks across major crowd-work platforms by bypassing QA testers. We earned six figures in three months, and even helped fix some of the vulnerabilities that we found. From this experience, we learned just how easily training data can be compromised, and how it can lead to unsafe model behavior.\n\n<https://youtu.be/GXuyd2PfsAY>\n\n## **The problem**\n\nLabs are searching for the high-quality, authentic human data their models need, but quality and provenance become harder to control at scale, especially when relying on outside data providers. Poor-quality or compromised data can distort model behavior, while unqualified contributors, automated submissions, unclear instructions, and weak consent records can still slip through QA. At the same time, data providers hold concentrated stores of customer data, contributor identities, and payments that attract fraud and security threats.\n\n## **What we built**\n\nDatoric manages the full collection process for multilingual speech, egocentric video, and action-conditioned data. We collect this data through more than 300,000 active contributors who record conversations, everyday tasks, and other project-specific activities through our private apps. Because Datoric has no public marketplace or open upload system, every collection can run inside its own isolated environment, keeping customer projects separate and limiting unauthorized access. Each recording also remains linked to the verified contributor who created it and the consent they provided. This blocks automated or manipulated submissions and protects quality throughout the collection process rather than leaving it to final QA.\n\n## **Traction**\n\nWe’ve seen a major uptick in quality compared to other providers, and in the last 30 days, Datoric has generated nearly seven figures in revenue.\n\n## **Our ask**\n\nWe would love introductions to teams building voice models, robots, or world models that need difficult, custom human-generated data.\n\nSend us your hardest collection specification at [**founders@datoric.com**](mailto:founders@datoric.com), or visit [**datoric.com**](http://datoric.com).",
        "url": "https://www.ycombinator.com/launches/S9z-datoric-trustworthy-data-for-the-next-generation-of-models",
        "votes": 4,
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    "long_description": "o11 helps your AI agents access apis, tools, and other paid goods and services. Instead of hacky computer use, managing credit card permissions, assigning each agent a new email, we handle all the hard parts of accessing the paid web. o11 has zero markup and gives teams better prices, easy checkout, and full auditability when purchasing with AI agents. \r\n\r\nThe o11 wallet gives your AI agents access to the paid world.\r\n",
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        "full_name": "Aryah Oztanir",
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        "founder_bio": "oztanir.com",
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        "full_name": "Ajay Misra",
        "title": "Founder",
        "founder_bio": "Co-founder of o11. Enjoys training models. \n\najaymisra.com",
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        "linkedin_url": "https://www.linkedin.com/in/ajay-misra/",
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        "id": 98341,
        "title": "o11: The AI Agent Inside of Every Enterprise App",
        "tagline": "We embed agents into every legacy application to automate them",
        "body": "Hey YC - We’re [Aryah Oztanir](https://www.linkedin.com/in/aryah-oztanir/) and [Ajay Misra](https://www.linkedin.com/in/ajay-misra/), the co-founders of [o11.ai](http://o11.ai).\n\n\\\nTL;DR - AI in legacy tools (e.g. Copilot, Gemini in Workspace, etc…) sucks. We built o11 to make automation directly inside legacy tools easy.\n\n# See us in action (demo vid):\n\n<https://www.youtube.com/watch?v=0nlcwZ6bw_c>\n\n# The Problem:\n\n62% of all companies still rely on legacy software and systems. Many of these systems are manual, outdated, and inefficient. In the age of AI, the legacy giants that create this software aim to “duct tape” AI onto their tools – but what they end up with is a **mangled mess that can’t actually do anything useful (Microsoft Copilot, Google Gemini, the generic useless “AI” sidebar in every application).** Enterprises and consumers need a way to automate work directly inside of the tools they are familiar with – \\*\\*their solution is o11.\\*\\*\\\n\\\nStarting with **the entire Google & Microsoft Suite,** we’ve enabled hundreds of companies to automate presentation / spreadsheet / document generation directly within their workflow. Teams that use us no longer need to move from app to app or deal with agents that merely “provide insights.” Now they can actually do things in these tools, and do them **fast.**\n\n# Start today:\n\nTry o11 for Free in Google Workspace and Microsoft 365 at <https://o11.ai>. Book a demo at <https://o11.ai/book-demo>\n\n![uploaded image](/media/?type=post&id=98341&key=user_uploads/1788479/2a4f8871-f9de-4f49-9758-39a582173ea4)\n\n# \n\n# How did we come up with this?\n\nBefore we dropped out of UNC we were surrounded by finance students who all faced similar problems at their internships over the summer: Legacy software, no AI, and tons of grunt work. Most existing finance solutions thought the best way to provide workflow value was to build an external dashboard. But after speaking to hundreds of finance professionals we realized that teams don’t want an external solution, they require something that is directly within their workflow. So, we started by building a Microsoft PowerPoint plugin. Soon, financial teams started asking us for more, and we then introduced o11 For Excel and o11 For Word. But, why confine ourselves to Microsoft only? Teams that we worked with and spoke to all wanted integrations with the full G Workspace suite, and soon we built it for them in Google Slides, Docs, and Sheets. **We’re not stopping there though – while these productivity suites are a large part of our user’s workflows, their workflows aren’t just confined to these tools.**\n\n# Where does this go?\n\nOur users use thousands of enterprise legacy apps that need automation, not duct-taped AI. That’s why, the product we’re soon going to release will enable you to use o11 in any app — **it’s going to enable you** **to automate directly inside any workflow.**\n\n![uploaded image](/media/?type=post&id=98341&key=user_uploads/1788479/8296e217-4385-4f12-a50d-cebffe7b974d)\n\n![uploaded image](/media/?type=post&id=98341&key=user_uploads/1788479/2a8ae383-97a2-41e9-8f95-66e9368a4230)\n\n",
        "url": "https://www.ycombinator.com/launches/Pa9-o11-the-ai-agent-inside-of-every-enterprise-app",
        "votes": 10,
        "created_at": "2026-03-02T18:19:12.551Z"
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    "id": 31231,
    "name": "Anchorhead",
    "slug": "anchorhead",
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    "website": "https://www.anchorhead.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build custom evals for product teams, as a service. To build these eval sets, we source domain experts and have them turn their work into original, real world evals.\r\n\r\nFor example, our research engineering experts have create tasks involving optimizing an algorithm, deploying a model, or running experiments to solve a novel problem. A grader scores the agent’s performance, and these scores serve as signals during evaluations.",
    "one_liner": "Evals for frontier research agents",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1772831162,
    "tags": [
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    "regions": [
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    "stage": "Early",
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        "full_name": "Perbhat Kumar",
        "title": "Founder/CEO",
        "founder_bio": "ceo at Anchorhead. prev engineer at Amazon and Microsoft. worked on a home launcher redesign for Kindle Fire, and built enterprise-scale rag agents at Microsoft Copilot Studio",
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    "name": "Chasi",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Chasi deploys AI agents that help equipment dealers sell more, respond faster, and maximize fleet utilization - 24/7.\r\n\r\nOne-third of the cost to build and maintain the physical world goes to equipment, yet fleet utilization across the industry often sits below 60%. Billions in assets sit idle while dealers drown in phone calls, emails, and manual data entry. Missed quotes, slow follow-ups, and disconnected systems mean lost revenue every day.\r\n\r\nChasi plugs into a dealer's existing stack to deploy AI agents that handle sales, rentals, and service requests around the clock. The result: faster response times, higher utilization, and stronger margins, without adding headcount. We automate the busywork so teams can focus on what actually grows the business: customer relationships.\r\n\r\nAkash Pavan and Sarman Aulakh have built tractors, race cars, and robots, and previously led AI deployments at Tesla, Boeing, and Cummins, where they saw firsthand how much operational value gets left on the table in equipment-heavy industries. Chasi is live across equipment businesses in the US and Europe. ",
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    "team_size": 2,
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        "title": "⚖️ Balance - AI accounting firm for SMBs",
        "tagline": "Balance provides real-time, audit-ready bookkeeping & accounting - run by AI, signed off by real accountants.",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Emil](https://www.linkedin.com/in/emil-munk/), [Mathias](https://www.linkedin.com/in/mathias-lovring/) and [Gus](https://www.linkedin.com/in/gus-levinson/) - Co-founders of [**Balance**](https://getbalance.ai/).\n\n### **TL;DR**\n\n**Balance provides real-time, audit-ready bookkeeping & accounting - run by AI, signed off by real accountants.**\n\n* Our AI agent **Bea** handles reconciliation, categorization & reporting\n* Ask **Bea** anything in Slack, WhatsApp or email - like having a finance hire on call\n* Human accountants review your books & file your returns\n* Flat pricing, no surprises\n\n👉 **Ask**: Know a founder or small business paying too much for messy, slow accounting? \\\n**Introduce them to us,** or contact: [founders@getbalance.ai](mailto:founders@getbalance.ai) / book a demo [here](https://cal.com/balance-mathias).\n\n[**https://youtu.be/oWFYg1jBcrU**](https://youtu.be/oWFYg1jBcrU)\n\n# \n\n# **❌** The Problem\n\nThe finance & accounting industry is broken - so **we’re building Balance to fix it.**\n\nCompanies spend over $680B each year on accounting services. Yet +80% of firms still rely on manual, spreadsheet-based reconciliation processes, and small business owners spend 20+ hours every week managing their books, from invoicing and expenses to reporting and taxes.\n\n**As former CFOs and business owners, we’ve lived the problem for years:**\n\n* Paying thousands per month for late, inaccurate books\n* Scrambling to fix errors before board meetings\n* Waiting weeks for sloppy month-end closes\n* Chasing receipts to stay compliant\n\n\\\n**Why hasn’t this been solved?**\n\nBecause bookkeeping isn’t just rules - it’s judgment. And traditional firms aren’t built to solve this with AI. But companies needed this _yesterday;_ Despite only incorporating in January, we are already active across multiple industries helping some of the most forward-looking and modern companies in everything from tech, ecommerce, florists, to digital consultants, close their books **faster**, **cheaper** and more **accurately**.\n\n![uploaded image](/media/?type=post&id=97794&key=user_uploads/2342832/6a4d536d-9b7c-413f-8a3a-c909d22c5a13)\n\n# [**👷**](https://emojipedia.org/construction-worker) Our Solution\n\nWe’re building the accounting firm we always wished existed; combining AI systems with human experts to deliver **clean books, real-time insights, and instant answers.**\n\n**Our AI agents ingest your business context — revenue, payroll, banking, expenses, ledger, and automate the full back-office finance stack.**\n\nOur agents categorize transactions, reconcile accounts, and surface anomalies in real time, with a human in the loop for review and accuracy.\n\nOnce the books are clean, Balance becomes the easiest way to actually _understand_ them.\n\nFounders can dive into costs, audit subscriptions, break down revenue, and validate taxes; all from where they work (Slack, WhatsApp, email), without waiting on PDFs or parsing spreadsheets. It’s your outsourced finance function. Accurate books, responsive, and always up-to-date.\n\n![uploaded image](/media/?type=post&id=97794&key=user_uploads/2342832/87ac5371-367d-4cbb-bae8-eb78564cb10b)\n\n# [**👬**](https://emojipedia.org/men-holding-hands) The Team\n\nWe're a team of repeat founders, CFOs, and AI engineers who built finance teams at high-growth startups and scaled vertical AI applications globally, across McKinsey and 3 YC companies.\n\n**Mathias**: Former CFO at Female Invest (YC S21), founder of an accountancy, and small business owner. Lived this problem firsthand, chasing external accountants, correcting their mistakes and spending hours on manual processes that should be automated.\\\n**Gus**: Maths, CS & AI Research at Imperial and Oxford. Built agentic AI systems across education and legal. \\\n**Emil**: Previously at McKinsey, Kapa AI (YC S23), and worked within product at Encord (YC W21).\n\n![uploaded image](/media/?type=post&id=97794&key=user_uploads/2342832/e779eba3-0917-4367-a803-2a7a41f21c86)\n\n",
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        "title": "General Legal -- The AI Native Law Firm for the Growth Stage",
        "tagline": "The corporate law firm for founders. Expert legal advice, one hour contract turnaround, and $500 per deal.",
        "body": "We’re[ Ryan](https://www.linkedin.com/in/ryanwalkerdata/),[ Javed](https://www.linkedin.com/in/javed-qadrud-din/), and[ JP](https://www.linkedin.com/in/jp-mohler/), and we’re building [General Legal](https://www.ycombinator.com/companies/general-legal). Previously, we built AI products for lawyers at[ Casetext](https://bookface.ycombinator.com/company/542) where Ryan was CTO and Javed led AI. Javed and JP went to Harvard Law and practiced at **Fenwick** and **Cooley**. \n\nGeneral Legal is an **AI-native law firm** solving commercial contracting for founders. We save founders $100s–$1000s per contract, turn around contracts in hours instead of days, and our clients love the practical, real-time guidance they get from our experienced attorneys.\n\n<https://youtu.be/lqSrp8fNJqs>\n\n**The scenario:** \n\nCongratulations! your B2B startup has its first customer ready to buy! What happens next? Your customer sends you a Cloud Services Agreement. This 30-page document is dense with complex legal terms.\n\nYou might be tempted to just sign this deal and get the revenue now. The problem is that there are often very harmful, and sometimes even company-ending, terms buried in the first turn of an enterprise contract. Some of these terms are so aggressive that VCs won’t even count the contract toward your ARR. You need a lawyer to find and negotiate those out.\n\nAt this point, most founders ask the same law firms that did their incorporation for help. These firms will charge $500–$2000 per hour, won’t estimate how many hours they’ll need to do the job, and will take days or even weeks to turn around your agreement.\n\nWhat your lawyers are doing behind the scenes is a shockingly inefficient process of passing work between partners and associates over email, unassisted by AI or technology generally. It’s a highly manual process where “data-driven” means “whatever the partner thinks they saw on the last five deals.” If you look closely at the work product, you’re quite likely to [find embarrassing errors](https://general.legal/blog/your-lawyer-is-worse-than-you-think).\n\nIn short, you’re paying a lot for a poor result, delivered slowly. In the age of LLMs, this is inexcusable.\n\n**The solution:**\n\nGeneral Legal is rebuilding the law firm for the AI era like Tesla rebuilt the car for the EV era. We hire top-tier attorneys and equip them with proprietary AI workflows that enable them to operate at **10× the efficiency of traditional attorneys**. This tech advantage allows allows us to offer our clients:\n\n* **Flat, all-inclusive pricing**\n  * **$500 per contract** for review services and negotiation on existing paper\n* **Turnarounds in hours not days or weeks**\n  * Guaranteed contract turns within **3 hours**, with typical turns delivered in **1 hour**\n\n   \n* **Highest-quality legal work**\n  * Our AI workflows eliminate common contracting errors\n  * Our expert attorneys spend time focused on substantive risk and providing tailored advice\n\n**Our Ask:**\n\nSince announcing our private preview last month, _we’ve had over 20 growth stage companies move commercial contracting to our firm._  We want more founders to run commercial legal through us. Don’t let your founder friends pay traditional law firms for routine contract review! Send them to us. We’ll _do any company’s first contract review for free_ until demo day.\n\nVisit our [website](https://general.legal/), [email us](mailto:founders@general.legal), or [book a demo](https://calendly.com/ryan-general/general-legal-info-call).",
        "url": "https://www.ycombinator.com/launches/PLT-general-legal-the-ai-native-law-firm-for-the-growth-stage",
        "votes": 61,
        "created_at": "2026-02-03T17:08:57.503Z"
      }
    ]
  },
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    "id": 31241,
    "name": "Corelayer",
    "slug": "corelayer",
    "former_names": [
      "Sevvy"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc77bd9760310dfdeb4b8ba962b09280b614937.png",
    "website": "https://www.corelayer.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Corelayer is the AI-native platform for production software support, built for regulated industries like finance and healthcare. It continuously monitors alerts, logs, infrastructure, and underlying data for issues and uses agents to debug and suggest fixes.\r\n\r\nWe're helping SRE, production services, and on-call engineers at companies ranging from growth-stage fintechs to Fortune 500 financial institutions spend less time on support and more on high-leverage work.",
    "one_liner": "AI production engineer for regulated industries",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1767713346,
    "tags": [
      "Developer Tools",
      "B2B",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/corelayer",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/corelayer.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/108275403",
    "x_url": "https://x.com/CorelayerAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc77bd9760310dfdeb4b8ba962b09280b614937.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 2897480,
        "full_name": "Mitch Radhuber",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Corelayer | Automating software support and ops for the world’s most complex environments.\n\nPrev: software + data infra @ Goldman Sachs, CS @ UMich, astrophysics research @ Princeton",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mitchellradhuber",
        "x_url": "https://x.com/MRadhuber",
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      },
      {
        "user_id": 2953500,
        "full_name": "Shipra Jha",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ Corelayer | Building the AI-native operations layer for production software and data systems.\n\nPrev: software + data infra @ Goldman Sachs, cloud infra @ Oracle, CS @ CMU",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shipra-jha-9b021859/",
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 96772,
        "title": "Corelayer: AI on-call engineer for regulated industries",
        "tagline": "Detect and fix production issues 15x faster",
        "body": "Hey everyone! 👋\n\nWe’re [Mitch](https://www.linkedin.com/in/mitchellradhuber/) and [Shipra](https://www.linkedin.com/in/shipra-jha-9b021859/) - before Corelayer, we built data infrastructure at Goldman Sachs where we spent many late nights and weekends debugging systems that processed 100s of billions of rows a day.\n\n**TL;DR**\n\nWhen you’re on call in data-heavy, regulated industries like fintech, healthcare, or insurance, you need to inspect underlying data to debug production issues. We built a platform that monitors both infrastructure and data for anomalies and uses AI agents to debug and suggest fixes in minutes.\n\n[Corelayer Launch Video](https://youtu.be/yFZKJ9QRrr4)\n\n**On-call support is painful and expensive**\n\nAll engineers hate being on call. Production issues kill velocity, erode user trust, and become more and more costly as companies scale.\n\nFortune 100s spend **$100M+/year** on first-line-of-defense production support.\n\nSmaller companies can’t afford to burn **scarce engineering resources** on time-consuming support and maintenance.\n\n**The (sensitive) data problem**\n\nIf you’re a backend engineer at a fintech, you probably own a service that queries data, applies some business logic, and stores the result somewhere (i.e., a data pipeline).\n\nWhen this service is running in production, you’ll see two failure modes:\n\n1. Exceptions in logs and/or failing jobs\n2. Bad data produced by your service\n\n“Bad data” can mean anything from incorrect values to entirely missing or duplicated rows.\n\n**This is really common** in certain products and industries, but you’re totally blind to these errors without monitoring data for anomalies and querying data while debugging.\n\nIn regulated environments where this problem is prevalent, **production data is sensitive**, which is another constraint we have to solve for.\n\n**Corelayer solves this**\n\nWe continuously monitor logs, metrics, **and data** for anomalies and use AI agents to debug, root-cause, and suggest fixes for issues.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/fce0b569-7a89-41f5-8225-625e86092a04)\n\nWe also filter out false positives and group related issues to reduce alert noise.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/6b91dd40-c7c7-4ca9-97a4-f80eaaff537d)\n\nEvery team is different. We take feedback from human engineers so our agents learn your systems and improve over time.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/f5384b34-039b-40f5-ba00-4c1ede356893)\n\nData is especially sensitive in regulated industries. We’re SOC 2 compliant, offer **BYOC and** **on-prem deployments**, flexible LLM inference options, and expose an audit trail of each step performed by the agent with citations.\n\n**Our Asks**\n\nDoes your team deal with data or integrations and spend more time on production support than you’d like? [Let’s chat](https://cal.com/mitchrad/30min). \n\nCan you connect us with an engineering leader at a finserv, fintech, healthcare, or insurance company? Reach out at [founders@corelayer.com](mailto:founders@corelayer.com).\n\nThank you!\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/18ce5a17-9fb2-42d6-8a39-0314da2f5f5d)\n\n",
        "url": "https://www.ycombinator.com/launches/PAq-corelayer-ai-on-call-engineer-for-regulated-industries",
        "votes": 108,
        "created_at": "2026-01-14T03:12:36.330Z"
      }
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    "id": 31242,
    "name": "Booko",
    "slug": "booko",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/df93ea203b23dfd6168d5db2ff35f568fb320f85.png",
    "website": "https://booko.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Booko helps businesses that sell bookable time slots make more money by dynamically pricing their time. Unlike physical inventory, unsold time slots disappear forever, yet most time-slot-based businesses still rely on static pricing. We integrate with existing booking systems to adjust prices and incentives based on historical utilization, availability, and demand. Early customers see ~20% revenue uplift by selling time that would have otherwise gone unsold.",
    "one_liner": "Dynamically pricing the whole economy. ",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1769199393,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/booko",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/booko.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bookoappinc/",
    "x_url": "",
    "fb_url": null,
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    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 3198795,
        "full_name": "Will Hall",
        "title": "Founder/CEO",
        "founder_bio": "Econ + CS @ Dartmouth. Building dynamic pricing for service providers with Booko. Background as CEO/Founder of Hall & Partners Digital Marketing ($300K secured revenue, $500K proj. TTM)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/will-hall-a1160432b/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e94abd97747369b6830bdaaa735485e40373ae78.jpg"
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      {
        "user_id": 3079635,
        "full_name": "Arjun Saluja",
        "title": "Founder/CEO",
        "founder_bio": "Engineering & CS @ Dartmouth. Built dynamic pricing systems with the Uber Elevate team at Joby Aviation. Now building dynamic pricing @ Booko. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arjun-saluja-a073b927a/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b33506b79fc4b0fe61141918ce4dfe4f5283c4ec.jpg"
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    ],
    "jobs": [
      {
        "id": 94530,
        "title": "Founding Growth Lead",
        "url": "https://www.ycombinator.com/companies/booko/jobs/7yAOw07-founding-growth-lead",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $150K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95979,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/booko/jobs/PPSedMS-founding-engineer",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95985,
        "title": "Founding Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/booko/jobs/K3Oj9Sa-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 95986,
        "title": "Founding Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/booko/jobs/iW5ZIzm-founding-machine-learning-engineer",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$140K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 97494,
        "title": "Booko  – Dynamic pricing for businesses that sell time slots",
        "tagline": "Helping recover billions in unsold revenue.",
        "body": "**TLDR: Booko is a pricing engine for businesses that sell time slots that uses dynamic pricing to fill more appointments during slow times (similar to how airlines and Uber price unused capacity).**\n\nWe’d love to speak with decision makers at any time-slot-based businesses that want to maximize their revenue! Booko is a great fit for any high fixed-cost business that’s selling their time. Some examples include: class-fitness studios, med-spas, tutoring centers, consultants, personal trainers, movie theaters and event venues, hair salons, accounting firms, and other appointment-based businesses with uneven demand.\n\nFeel free to email us: [arjun@bookoapp.com](mailto:arjun@bookoapp.com) & [will@bookoapp.com](mailto:will@bookoapp.com), or find a time to chat [here](https://calendly.com/will-bookoapp/15min?month=2026-01). \n\n**Product Video:**\n\n<https://www.youtube.com/watch?v=hpmFz1jo2WI>\n\n\\*\\*Problem/Solution:\\*\\*\\\nTime-slot based businesses all face the same issue: **every unsold hour is $0 revenue**. Demand is often uneven, and existing tools give customers no incentive to choose those slower times.\n\nBooko integrates with existing booking systems to automatically adjust prices and incentives based on historical utilization, real-time availability, and demand. Like airlines or Uber, we price unused capacity while staying inside the business’s existing workflows. **Early customers see around a 20% revenue lift by filling time that would have otherwise gone unsold.**\n\nBooko works anywhere people sell their time, from fitness-studios and med-spas to tutors, consultants, and professional services.",
        "url": "https://www.ycombinator.com/launches/PMU-booko-dynamic-pricing-for-businesses-that-sell-time-slots",
        "votes": 19,
        "created_at": "2026-02-04T17:41:28.620Z"
      }
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  },
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    "id": 31244,
    "name": "Turnstone",
    "slug": "turnstone",
    "former_names": [
      "Crow"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/83da57a5a7cd9d76b06d6dda92bb99843ca0edf1.png",
    "website": "https://myturnstone.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Turnstone is the AI workspace where your agents already know you. Connect your apps (e.g. email, calendar, Slack, Drive) and your local folders. Turnstone turns all of it into your second brain and continuously updates it.\r\n\r\nSpin up agents (e.g. chief of staff, research, GTM) that all share that brain, so you stop re-explaining yourself and start getting real work done.\r\n\r\nIt all lives on your machine and runs on any model you already pay for. Ask your agent once, and it's done.",
    "one_liner": "Work with agents that already know you",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1768862675,
    "tags": [
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/turnstone",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/turnstone.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/110243701/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 1919824,
        "full_name": "Aryan Vij",
        "title": "Founder/CEO",
        "founder_bio": "Making you a 100x human\n\nPrev engineering @ Qualcomm, Shasta Health (S23), and Frontdesk (PearVC). \nUC Berkeley EECS. \nEx-Military Officer @ Singapore Armed Forces.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aryanvij/",
        "x_url": "https://x.com/aryanvij02",
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      {
        "user_id": 2393534,
        "full_name": "Jai Bhatia",
        "title": "Founder/CTO",
        "founder_bio": "2026 was the year of the 100x engineer\nIt should also be the year of the 100x human\n\nCS @ UC Berkeley\nex-SWE @ 5 startups 🐦‍⬛",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jai-bhatia-/",
        "x_url": "https://x.com/jaixbhatia",
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    "launches": [
      {
        "id": 96954,
        "title": "Crow - Let users control your app through chat",
        "tagline": "Connect Crow's AI agent to your product, and users can type what they want instead of clicking through menus",
        "body": "# **TL;DR**\n\n[**Crow**](https://www.usecrow.ai/) **lets users control your app through chat. Connect Crow's AI agent to your product, and users can type what they want instead of clicking through menus.**\n\nUnlike chatbots that just answer questions, Crow connects to your APIs and data, navigates your UI, and executes actions. Deploy in under a week.\n\n<https://youtu.be/WavAzjR0SCg?si=4mlnykEGLCGPT7S8>\n\n**Ask**: Know VPs or founders at software companies exploring chat-based interfaces? We'd love an intro! Contact us at [aryan@usecrow.ai](mailto:aryan@usecrow.ai)\n\n# **🌊 The Shift**\n\nRemember when Blockbuster thought people would always drive to stores to rent movies? Then Netflix let you just click what you wanted to watch.\n\n**The same shift is happening with software right now.**\n\nIt started with ChatGPT. Then Claude. Then every AI assistant that followed.\n\nUsers learned they could just ask for what they want, and it would happen. Write emails, search for information, generate code — all through conversation.\n\n**Now they carry this sentiment everywhere - including your product.**\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/a48c7936-a7d8-4d97-abf5-20d2688c9191)\n\n## **❌ The Problem**\n\n**Your product could be the next Blockbuster.**\n\nNot because your features aren't good. But because, your users:\n\n* Get lost in multi-step workflows buried in nested menus\n* Stare at dashboards with 47 buttons they don't understand\n* Give up on features they don't even know exist\n\nYou know an AI assistant would help. Your competitors are already shipping them. Your users are asking for them.\n\n**But building one yourself? That's where it gets hard.**\n\nYour team estimates 6+ months to build a reliable AI assistant:\n\n* Integrate LLMs and connect to every API endpoint in your product\n* Build context pipelines and connect to numerous data sources so it understands your app\n* Add guardrails so it doesn't break things\n* Build observability so you can debug when it fails\n* Make it secure and reliable enough for production\n\nAnd even after you ship, it needs constant maintenance. Every product update means updating the AI integration.\n\n**Getting a demo working is easy. Getting to production-ready? That's the nightmare.**\n\n# **🔨 Our Solution**\n\nCrow isn't just a chatbot you slap on top of your product.\n\nCrow is AI infrastructure that plugs directly into your app — so your users can chat with your product instead of clicking through it.\n\n### Example\n\nBelow you can see an implementation of Crow on a sample ERP application. The user is able to easily create a Customer, open their Profit and Loss page, and go back to the Customer page - without ever having to navigate the User Interface themselves.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/8a396d0c-0821-45df-b7ed-c753cb393437)\n\nMost AI chatbots just answer questions. Crow takes actions — it hits your backend endpoints, clicks buttons, navigates your UI, and executes workflows.\n\n### **Here's how it works:**\n\n**Connect your context** 📚\n\nConnect your data sources — files, docs, websites, or custom integrations. Crow ingests it all and understands your product.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/42a5bd77-f274-43f2-aed7-57914c6e4f80)\n\n**Wire in your functionalities** 🔌 Connect via OpenAPI spec or MCP server. Crow can now call your APIs and take client-side actions.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/c7648181-4ace-4d47-8f11-8d13623925db)\n\n**Define Journeys** 🛤️ Build workflows for specific scenarios.\n\n* E.g. User asks to cancel? Crow offers alternative options to avoid cancellation, then handles cancellation if they still want out. You set the path.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/e381dd18-acd6-4b5f-b0d9-9747474954e5)\n\n**Track everything** 📊 See every conversation, tool call, and action. Know what users ask for and where things break.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/6725a92a-6440-475e-9630-19325b310a3c)\n\n**Deploy** ⚡ One script tag. Simple wiring in your codebase. Go live.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/9ceb77d1-4f5d-47d8-87b1-55f716a56d1b)\n\nOur customers go live in **under a week** — getting an AI Assistant on their app that is faster and more reliable than what they tried building in-house.\n\n# **🙏 Our Ask**\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Are you a VP / executive / founder at a software company?** We are working with companies that have 5k to 200k DAU. Let's chat about how Crow can help → [aryan@usecrow.ai](mailto:aryan@usecrow.ai) .\n* **Know someone at companies like Notion, PostHog, or Shopify?** We'd love to learn from teams already building great chat interfaces\n* **Are you a developer with a side project?** Try Crow for free. Connect to our MCP docs and use Claude Code or Cursor to drop Crow into your app\n\n👉 Learn more at [**usecrow.ai**](http://usecrow.ai) or email us at [**aryan@usecrow.ai**](mailto:aryan@usecrow.ai)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/110243701/) and [X](https://x.com/usecrow_ai) and share this post. Your intro could help us reach the next company that needs AI in their product!\n\n# **👥 The Team**\n\nAryan and Jai met on the first day of college at UC Berkeley, bonding over college football before ever writing a line of code together.\n\nWe've both worked at top AI startups building the infrastructure that powers conversational interfaces. At these companies, we transformed workflow-heavy SaaS products into chat-first experiences—wiring integrations, solving production challenges, and seeing firsthand the massive value it brought when users could chat with products instead of navigating clunky UIs.\n\nWe built Crow because we've done this transformation before and know exactly how hard it is. Now we're making it easy for everyone else.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/aee5c2fa-8bc5-4a08-ab71-9102ba4a5ee9)\n\n",
        "url": "https://www.ycombinator.com/launches/PDm-crow-let-users-control-your-app-through-chat",
        "votes": 83,
        "created_at": "2026-01-19T23:53:35.793Z"
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    "id": 31246,
    "name": "Inth",
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    "website": "https://inth.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Inth monitors your pull requests, codebase and website to catch privacy issues and turns them into fixes and evidence.\r\n\r\nEvery product change you make exposes you to privacy risk. Customers lose trust. Fines and lawsuits are given. Fundraising and customer deals are broken. New market launches halt.\r\n\r\nThe growth you thought you would have slows because privacy compliance is overwhelming and changes with every product update.\r\n\r\nInth is fixing this to help you automate privacy compliance to ship and grow faster.\r\n\r\nInth scans your PRs, website and codebase to catch any privacy risk. It then fixes and evidences them against your product, policies and global privacy laws to automate privacy compliance in every region your customers are in.\r\n\r\nStart a free privacy scan at: inth.com",
    "one_liner": "Monitor and fix product privacy issues before they block growth",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1776095941,
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      "Developer Tools",
      "Compliance",
      "Web Development",
      "Trust & Safety",
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      "Europe",
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    "url": "https://www.ycombinator.com/companies/inth",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/inth.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/inth",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/consent-56ac",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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    "founders": [
      {
        "user_id": 735095,
        "full_name": "Christopher Burns",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Inth, the AI-native privacy company helping teams ship and grow faster by automating privacy compliance across pull requests, codebases, and websites.\n\nPreviously founded Everfund. Creator of c15t, open-source consent and privacy infrastructure with 3M+ npm downloads, and CookieBench. Spent the last decade building developer tools, privacy systems, and trust infrastructure.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/burnedchris/",
        "x_url": "https://x.com/burnedchris",
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    "jobs": [],
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    "launches": [
      {
        "id": 101245,
        "title": "Inth: Dev-first cookie banners that don't slow your site",
        "tagline": "Built for performance and full developer control.",
        "body": "tldr: your cookie banner is slowing down your site. Inth banners keep performance high, styled using your own components, and keeps you compliant using our open-source core, [c15t.com](http://c15t.com).\n\nInth is building cookie banners that don't cost your Core Web Vitals.\n\nFor years, cookie banners have plagued the internet with slow bloated scripts, that aren't aware of user locations or local laws, built for marketing and legal teams. Inth is fixing this with developer-first consent infrastructure.\n\n<https://youtu.be/RJ7cSk1QYi8>\n\nInth helps developers automate cookie consent and user data rights to ensure compliance with all jurisdictions, using the fastest and most composable cookie banner available, c15t.\n\nBundled into your website's code, c15t cookie banners have native SDKs, i18n, and are fully customizable to match your UI and brand. Built for developers who care about compliance and performance.\n\nSince Inth launched, c15t has grown over 2 million npm downloads, and is used by some of the top developer tools companies, luxury hotel chains, and online supermarkets.\n\nJoin the teams already using Inth to deploy faster, compliant websites at [inth.com](http://inth.com) or quickstart: npx @c15t/cli\n\nFind our docs here: c15t.com/docs",
        "url": "https://www.ycombinator.com/launches/QKz-inth-dev-first-cookie-banners-that-don-t-slow-your-site",
        "votes": 14,
        "created_at": "2026-05-12T15:53:00.835Z"
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    "id": 31247,
    "name": "Fed10",
    "slug": "fed10",
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    "website": "https://www.fed10.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Fed10 is a legislative consulting firm staffed by AI agents. \r\n\r\nWe monitor every bill across the U.S., flag threats to your business, and deliver actionable insights — the same work a $500/hr policy consultant does, but in seconds instead of days.\r\n\r\nBuilt by three ex-lobbyists who passed legislation together.",
    "one_liner": "AI Agents for Government Affairs",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1768118288,
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Legal"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/fed10",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/fed10.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 2369067,
        "full_name": "Armand Iorgulescu",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Fed10. Passed multiple bills before I could vote. Youngest Governor appointee, where I drafted recommendations signed into law. Studied government at Harvard. Skipped high school classes to sit in on law school lectures.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/armand-iorgulescu",
        "x_url": "https://x.com/armandiorg",
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      {
        "user_id": 3207858,
        "full_name": "Zayan Islam",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Fed10. Best friend of Armand and Winston. Passed a bill & went to law school lectures with them as well. Got an Amazon offer at 17 and studied CS/Government at Berkeley.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/drowsy/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec51cdc4b03fbb9ad23d1ed38f3e88aeaedea55b.jpg"
      },
      {
        "user_id": 2941412,
        "full_name": "Winston Wei",
        "title": "Founder/COO",
        "founder_bio": "COO/CPO @ Fed10 \nWilliams College CS & American Studies | Ex-Gov Affairs/NV Dems.\nPassed legislation with these two before I could vote.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/winstonwei-wc",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22eaab4d7e70686ddfc2c495f6ecaf0666c0a00a.jpg"
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    ],
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    "launches": [
      {
        "id": 98547,
        "title": "Fed10 🇺🇸 – AI Lobbyists",
        "tagline": "Harvey for Public Policy/Government Affairs teams",
        "body": "**TL;DR:** We use AI to ingest every proposed regulation in the world and immediately flag threats to your business. We help companies catch bills that would cost them millions in compliance, draft the fix, and show them who to call and what to say to get it done.\n\n[**Launch Video:**](https://www.youtube.com/watch?v=q5xti-2WC1Y)\n\nHey, we’re [Armand](http://linkedin.com/in/armand-iorgulescu), [Zayan](https://www.linkedin.com/in/drowsy/), and [Winston](https://www.linkedin.com/in/winstonwei-wc/). We’re ex-lobbyists who passed legislation before we could even vote, and now we’re building Fed10.\n\n**The problem**\\\nEvery company is affected by regulation. Most don't find out until it's too late.\n\nYour options today: \n\n* Pay $30K/month for policy consultants or lobbyists to stop threats\n* Get blindsided\n\nEven the companies that pay still get burned. We watched one of our bills die in Nevada because a last-minute committee change happened and the consultants we were paying missed it.\n\nPublic policy teams spend most of their time on research when they should be spending it on the relationships that actually move legislation.\n\n**What Fed10 does**\n\nOur AI agents handle the research. Every regulation, every jurisdiction, monitored in real time. When something threatens your business, we flag it, draft the fix, and pair you with the right person to get it handled.\n\nOne user had a bill that would have cost them $10M/yr in compliance. We caught it, drafted the amendment, and delivered a full advocacy strategy. That took seconds, not the weeks a consultant would need.\n\n**The team**\n\nIn high school, we led immigrant advocacy campaigns, drafted bills, advocated for them, and got them signed into law that now affect 344,000 people annually. We dropped out of Harvard, Williams, and Berkeley to build this.\n\n**The ask**\n\n* **Run policy or government affairs for your company?** → Try [Fed10](https://www.fed10.ai) and email [armand@fed10.ai](mailto:armand@fed10.ai)\n* **Don’t have a policy team but still affected by regulation?** →Try [Fed10](https://www.fed10.ai) and email [armand@fed10.ai](mailto:armand@fed10.ai)\n* **Know someone who does?** → Send them this post",
        "url": "https://www.ycombinator.com/launches/PdT-fed10-ai-lobbyists",
        "votes": 14,
        "created_at": "2026-03-06T20:26:46.500Z"
      }
    ]
  },
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    "id": 31248,
    "name": "BeeSafe AI",
    "slug": "beesafe-ai",
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    "website": "https://beesafe.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "BeeSafe AI is building the frontier model layer for social engineering defense. Cyberattacks have moved from code to conversation: attackers now use AI to carry out long-term, trust-based manipulation across SMS, voice, email, and social platforms, often inside encrypted channels where defenders cannot see, detect, or stop them.\r\n\r\nBeeSafe changes that by deploying undercover AI agents that engage attackers directly, expose hidden infrastructure, and convert live adversarial conversations into actionable intelligence. Each engagement adds to BeeSafe's proprietary dataset of real attacker behavior and trains foundational models that continually learn about counter-persuasion, deception, and manipulation in the wild.\r\n\r\nBeeSafe is starting in financial crime, where banks already value our data against Authorized Push Payment (APP) fraud and money laundering, but the opportunity is far broader. The same data and models that uncover mule networks today can protect consumers, secure enterprises, and strengthen governments against the next generation of AI-powered social engineering attacks tomorrow.",
    "one_liner": "Frontier AI Defenses for Social Engineering Attacks",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1770327115,
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/beesafe-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/beesafe-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/beesafe-ai",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 286,
        "full_name": "Daniel Spokoyny",
        "title": "Founder/CEO",
        "founder_bio": "I am a machine learning and security researcher with 10+ years in ML and NLP. I earned my PhD at CMU with research on novel transformer architectures, better training objectives, and evaluation benchmarks for reasoning.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/spokoyny/",
        "x_url": "https://x.com/daniel_spokoyny",
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      },
      {
        "user_id": 3268572,
        "full_name": "Ariana Mirian",
        "title": "Founder",
        "founder_bio": "Cofounder at BeeSafe AI. I have over ten years of experience as a security research and measurement scientist, using large scale data to make better security decisions. I've worked in various organizations, such as Censys, Google Chrome, and UCSD, all of which have provided unique perspectives into security at scale to protect the end user. My goal is to make the Internet a safer place for everyone, regardless of background or technical expertise.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arianamirian/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06d54df787963805facaeaffb57351bad78e5b56.jpg"
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      {
        "user_id": 3152047,
        "full_name": "Nikolai Vogler",
        "title": "Founder/CTO",
        "founder_bio": "CS PhD from UCSD and ex-CMU LTI. My objective is to reduce human-driven cyber risk after hearing so many stories from peers about how they’ve gotten scammed. I have worked in machine translation, optical character recognition, and document attribution, which was actually interrupted by a real-world ransomware attack.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikolai-vogler-3808a82b2",
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      {
        "id": 97562,
        "title": "BeeSafe AI — Fraud Prevention Platform for Trust-Based Scams",
        "tagline": "Stopping scams before they reach your customers",
        "body": "![uploaded image](/media/?type=post&id=97562&key=user_uploads/3268572/9d3f5b62-fcc6-4c25-9f79-3c11e7a60a40)\n\n**TL;DR:** BeeSafe stops scams at the source by engaging with scammers to identify and shut down the fraudulent accounts they use for their operations. We are [Ariana Mirian](https://www.linkedin.com/in/arianamirian), [Nikolai Vogler](https://www.linkedin.com/in/nikolai-vogler), and [Daniel Spokoyny](https://www.linkedin.com/in/spokoyny), three PhD AI & security experts, and we pioneered the first AI system for engaging sophisticated, trust-based scammers—now we’re scaling it into a product that helps:\n\n* **Financial Services & Crypto** detect mule accounts for AML compliance\n* **Telecommunications** block suspicious inbound messages\n* **Government Agencies** take down cybercriminal operations\n\n**The Problem: The $12B Visibility Gap for Financial Institutions**\n\nHave you ever received a text like this?\n\n![uploaded image](/media/?type=post&id=97562&key=user_uploads/3268572/33ca436a-5f83-4652-ba59-bdba6898fb52)\n\nThis seemingly harmless message is the start of a sophisticated social engineering scam, sometimes referred to as “pig butchering”. Scammers strike up a conversation to build trust with their victims over time, eventually convincing them to authorize real-time, irreversible payments via P2P apps, crypto, or wire transfers:\n\n![uploaded image](/media/?type=post&id=97562&key=user_uploads/3268572/1e5c6c13-4a22-4cb0-840f-8bc24ec3fdc8)\n\n$12B was reported stolen in trust-based scams like this in the US last year, according to the FTC. With multilingual LLMs, deepfakes, and voice cloning, trust-based scam losses are skyrocketing.\n\nFinancial Services, Telcos, and Government Agencies have little visibility into trust-based scams because attackers bypass traditional fraud prevention systems (e.g. behavior-based anomaly detection):\n\n* **Off-Platform Trust Building:** Conversations are held across multiple, end-to-end encrypted platforms, leaving any one platform blind\n* **Authorized Transactions:** Victims are manipulated over time into trusting the attackers so they authorize transactions\n* **Reactive Investigations:** Enterprises only know about the scams after a victim reports lost money (if they report it at all)\n\n**The Solution: AI-Powered Scam Disruption**\n\nInstead of blocking scammers, our system intercepts and engages with them to extract intelligence, including financial mule accounts, fraudulent assets, malicious domains, crypto drainers, and other related infrastructure.\n\n![uploaded image](/media/?type=post&id=97562&key=user_uploads/3268572/59fdda02-ba50-4593-817a-68e8b7d5bca8)\n\nOur intel’s edge:\n\n* **Full Campaign Context:** we map the entire fraud operations, from initial message to financial exfiltration, allowing us to map patterns of attacks.\n* **Verified Data:** Our intelligence represents ground truth, and is not based on a probabilistic risk score. We minimize false positives by capturing details directly from the attackers.\n* **Real Time-Discovery:** all attacker infrastructure is discovered in real-time, preventing real-victim losses.\n\nWe provide instant access to high-fidelity fraud signals for B2B and deliver this to our customers in a way that does not add any friction to everyday users.\n\nWe have already enabled financial services and government agencies to identify and intercept scammers pre-transaction to prevent victim losses, with 10,000s of real scammer conversations across communication channels, and 1,000s of mule accounts + linked infrastructure already.\n\n**Our asks:**\n\nIf your organization and customers are facing trust-based fraud, we want to meet and see how BeeSafe can help.\n\nPlease reach out if you work in\n\n* anti-fraud, anti-money laundering, or compliance organization\n* consumer-facing fintechs, crypto exchanges, or telcos\n\nby sending us a message at [founders@beesafe.ai](mailto:founders@beesafe.ai) or visiting [beesafe.ai](http://beesafe.ai) to learn more.\n\n**About Us:** We are [Ariana Mirian](https://www.linkedin.com/in/arianamirian), [Nikolai Vogler](https://www.linkedin.com/in/nikolai-vogler), and [Daniel Spokoyny](https://www.linkedin.com/in/spokoyny) a team of three PhD founders from Carnegie Mellon and UC San Diego. We wrote the paper that introduced the first AI system for sophisticated, trust-based scams. We bring expertise in building AI systems for security—grounded in core machine learning research and real-world cybercrime defense—with industry research experience from Google, Microsoft, Censys, and major DoD-funded programs.",
        "url": "https://www.ycombinator.com/launches/PNa-beesafe-ai-fraud-prevention-platform-for-trust-based-scams",
        "votes": 21,
        "created_at": "2026-02-06T17:43:15.281Z"
      }
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  },
  {
    "id": 31250,
    "name": "The Token Company",
    "slug": "the-token-company",
    "former_names": [
      "Otsofy"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b6d23e94e331354b9f326725df83ff557b97c1a.png",
    "website": "https://thetokencompany.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Compression middleware that removes context bloat in milliseconds, lowering costs and improving end-to-end latency.\r\n\r\nCompression is especially effective across natural language workloads. In a blind LLM arena case study with one of our customers, compressed requests increased user preference, lowered costs, and lifted purchase volume by 5%.",
    "one_liner": "Compression middleware that improves LLM outputs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1772525778,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "I didn’t apply for the winter batch, but after the YC partners reached out and spoke with me, it seemed like the obvious choice. The batch has been awesome so far, and I’ve learned so much. Can’t wait for what’s to come :)"
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Context bloat and inefficient LLM inputs. We preprocess inputs to remove useless tokens from the context, which results in faster, cheaper, and more accurate LLM answers.\r\n\r\nCurrently, this is not being done practically anywhere, which means billions of dollars and quadrillions of tokens are being wasted.\r\n\r\nI decided to work on this because it is something much more fundamental than ordinary application layer companies, since it affects each one. And I like hard problems ;)"
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "The vision is to optimize every LLM request in the world at the token level before it reaches a model.\r\n\r\nEven if model labs dominate, there will still be multiple competing providers. We sit above them as a neutral efficiency layer, optimizing inputs across all models. Labs are incentivized to build bigger models and sell more tokens, not reduce usage across the ecosystem. As long as more than one lab exists, a cross-model optimization layer remains structurally defensible."
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    ],
    "url": "https://www.ycombinator.com/companies/the-token-company",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/the-token-company.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/the-token-company",
    "x_url": "https://x.com/thetokenco",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 2949698,
        "full_name": "Otso Veisterä",
        "title": "Founder/CEO",
        "founder_bio": "Founder of The Token Company",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/otso-veistera/",
        "x_url": "https://x.com/OtsoVeistera",
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    "launches": [
      {
        "id": 98397,
        "title": "The Token Company: Intelligent compression for LLM context bloat",
        "tagline": "Intelligent compression for LLM context bloat",
        "body": "Hey everyone,I’m Otso Veisterä, founder of The Token Company (YC W26).\n\n**TL;DR**\\\nWe build LLM input compression using a fast machine learning model (not a generative LLM). It removes useless tokens from prompts via a drop-in API—cutting token counts, latency, and costs while improving model performance. It compresses 100k tokens in under 100ms.\n\n<https://youtu.be/65ScMCGNPss>\n\n**The Problem**\\\nPrompts bloat with redundant tokens from chat history, RAG docs, or large inputs. This wastes context windows, drives up costs, slows inference, and weakens model outputs. Heavy users face high bills and must limit context to stay affordable.\n\n**The Solution**\\\nOur API compresses prompts intelligently, preserving semantic intent while stripping noise. Integration takes minutes.\\\nBenchmarks show accuracy gains (e.g., +2.7 percentage points on financial QA with up to 20% fewer tokens) and up to 37% faster end-to-end latency.\n\n**My Ask**\\\nIf you're running production LLMs and fighting context bloat, high costs, or latency, email me: [otso@thetokencompany.com](mailto:otso@thetokencompany.com)\\\n<https://thetokencompany.com>",
        "url": "https://www.ycombinator.com/launches/Pb3-the-token-company-intelligent-compression-for-llm-context-bloat",
        "votes": 25,
        "created_at": "2026-03-03T16:18:10.552Z"
      }
    ]
  },
  {
    "id": 31252,
    "name": "Moda",
    "slug": "moda",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd64626b0d2bee14b3f5a65475f8e788a52bf6d2.png",
    "website": "https://moda.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Your agents should never make the same mistake twice. Moda helps you engineer better agents from production data. Find recurring failures, understand what caused them, and build evals from real agent runs. Compare models on the tasks your users actually need. Test changes to your prompts, tools, and workflows against past production traffic before you ship. Know what broke, what to change, and whether the fix worked.",
    "one_liner": "Your agents should never make the same mistake twice.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1769121297,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/moda",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/moda.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/modaflows",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
      {
        "user_id": 2168306,
        "full_name": "Pranav Bedi",
        "title": "Founder",
        "founder_bio": "Building Moda",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pranavbedi/",
        "x_url": "https://x.com/pranavbedi",
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      },
      {
        "user_id": 960726,
        "full_name": "Mohammed Al-Rasheed",
        "title": "Founder",
        "founder_bio": "Building Moda",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/moalrs/",
        "x_url": "https://x.com/qtreplayz",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8ae115b3efdfff558a55607a16b476cb3b69c7e.jpg"
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    "launches": [
      {
        "id": 98435,
        "title": "Moda: The Continual Learning Layer for AI Agents",
        "tagline": "Turn production agent traces into validated improvements for your agent harness.",
        "body": "We’re Mohammad and Pranav (Moda, W26). **We built monitoring & reliability for AI agents.**\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/84330bae-242e-447d-a656-800061f4b1ac)\n\n**In production, AI agents fail silently all the time:** tool calls that error or time out, agents that claim they “did it” without actually doing it, prompt injections that cause data leakage, and long customer chats that hide the real issue. Most teams only find out after users complain, churn, or something breaks.\n\n<https://youtu.be/aKPDhL_AE4E>\n\n### **The problem:**\n\nWhen an agent fails, the “bug” is rarely one line of code. It might be a flaky tool, a prompt regression, a bad retrieval result, or a jailbreak attempt.\n\nBut most teams still debug agents by skimming transcripts, grepping logs, and hoping they notice the real issue. Previous tools were built for clicks, not for long, messy conversations with skills, MCP’s and tools.\n\nAs agents get more autonomous, this gets worse. Small changes in prompts, tools, or integrations can cause big reliability and security problems at scale.\n\n### **What we built:**\n\nModa is monitoring & reliability for AI agents. It turns conversations and tool traces into low-noise, actionable signals.\n\n**Trace-first drilldowns:** click from a metric or alert straight into the exact messages and tool calls that caused it.\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/6e062a13-340e-452f-9676-2bdd790d94e4)\n\n**Conversation segmentation:** automatically splits long chats into topic segments so you can debug the right unit of work.\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/90151d61-e51b-45da-ac29-72af5c8a31d6)\n\n**Failure detection:** flags tool-call errors, timeouts, and “claimed it worked” runs.\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/335d8a83-6301-4d0e-af31-a75778cbbb0e)\n\n**Quality & safety signals:** highlights hallucinations, user frustration, and prompt injection attempts.\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/7ee4b5f6-ddc0-47a3-9e9c-3538f6764acc)\n\n\\\n**Regression tracking:** measure the impact of prompt and harness changes, and catch regressions before customers do.\\\n\\\nWant to see Moda on your agent in production? Book a quick call: [https://moda.dev](https://moda.dev)\n\n### **About Us:**\n\n**Mohammad** built AI agents and infrastructure at **Shopify, Notion, and Clio**, shipping systems that scaled agents to real users.\n\n**Pranav** built data infrastructure at banks and insurance firms before diving into building AI agents at **Shopify** and **Cerebral Valley**\n\nWe both dropped out of University of Waterloo to solve what we believe to be the biggest problem in the next 10 years, AI systems are unreliable, Moda is going to solve that.\n\nVisit us at [https://moda.dev](https://moda.dev) | [pranav@modaflows.com](mailto:pranav@modaflows.com)",
        "url": "https://www.ycombinator.com/launches/Pbf-moda-the-continual-learning-layer-for-ai-agents",
        "votes": 122,
        "created_at": "2026-03-04T02:01:23.769Z"
      }
    ]
  },
  {
    "id": 31253,
    "name": "Maven",
    "slug": "maven",
    "former_names": [
      "Lattice"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f91b1d1421f28de22ae9bbafcb6d5c03dc6cef5.png",
    "website": "https://trymaven.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We enable AI chat and voice agents to collect payments through a single API call, handling card processing and PCI compliance across all payment gateways",
    "one_liner": "Payments for Conversational Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1770422490,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/maven",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/maven.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trymaven",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 2746056,
        "full_name": "Brandon Boehme",
        "title": "Founder/CEO",
        "founder_bio": "Founder, Maven | Ex Meta, Amazon | EECS, UC Berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brandon-boehme/",
        "x_url": "https://x.com/brandondboehme",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/913ce1209c9a786e86cc0bf1c75d56dd8a0665a1.jpg"
      },
      {
        "user_id": 2246042,
        "full_name": "Wasi Ahmed",
        "title": "Founder/COO",
        "founder_bio": "Founder @ Maven | CS @ UC Berkeley | Prev Amazon",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wasi-ahmed05/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98c75b042730b4b0557b8c1e9ce893902f796dbf.jpg"
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    "launches": [
      {
        "id": 97737,
        "title": "Maven – Payments for Voice AI Agents",
        "tagline": "Add secure payments to any voice agent in minutes.",
        "body": "**Hey YC!**\n\nWe’re [@Brandon](https://bookface.ycombinator.com/user/2746056) and [@Wasi](https://bookface.ycombinator.com/user/2246042/following), co-founders of [@Maven](https://bookface.ycombinator.com/company/31253).\n\nWe’re building the payments infrastructure that lets voice AI agents collect payments during live calls.\n\n<https://youtu.be/GZ_e33v4B0c?si=1MvBlMWpxKHK3rx9>\n\n---\n\n### TL;DR\n\nVoice AI can handle the conversation. It just can’t complete the transaction.\n\nMaven lets voice agents collect payments during live calls with one API call.\n\n---\n\n### The Problem\n\nVoice agents are being deployed across:\n\n* Home services\n* Healthcare\n* Insurance\n* Sales\n* Collections\n* And more\n\nThey can qualify leads, book appointments, and negotiate pricing.\n\nBut when a customer says, “I’m ready to pay,” everything breaks.\n\nAdding payments today means:\n\n* Building PCI-compliant infrastructure\n* Handling sensitive card data\n* Managing failed payments mid-call\n* Supporting multiple gateways like Stripe, Authorize.net, and Adyen\n\n---\n\n### Our Solution\n\nWith a single API call, we take over secure card collection, processing, retry logic, and PCI compliance.\n\nCard data flows directly through Maven’s PCI-compliant infrastructure, never your servers.\n\nAs voice AI becomes a large revenue channel, it needs real payment infrastructure. Maven completes the loop.\n\n![uploaded image](/media/?type=post&id=97737&key=user_uploads/2246042/31358443-35d2-4fce-93a9-e27491e8b66d)\n\n---\n\n---\n\n### Our Ask\n\nWe’re looking for intros to companies or operators where payments happen over the phone, including:\n\n* Home services (HVAC, plumbing, roofing)\n* Healthcare billing and scheduling\n* Insurance agencies\n* Collections\n* Auto services\n* SMB sales teams\n\nIf you know founders or teams deploying voice AI in these areas, we’d love an intro.\n\n### Our Vision\n\nAs AI agents handle more revenue-generating conversations across voice and other interfaces, our vision is to become the default infrastructure for all human-to-agent payment touchpoints.\n\n👉 <https://trymaven.com>\n\n![uploaded image](/media/?type=post&id=97737&key=user_uploads/2246042/c488fde5-bb9e-4f1e-a972-8e8c6dbcd0cf)\n\n",
        "url": "https://www.ycombinator.com/launches/PQP-maven-payments-for-voice-ai-agents",
        "votes": 20,
        "created_at": "2026-02-11T19:02:49.038Z"
      }
    ]
  },
  {
    "id": 31254,
    "name": "Sila",
    "slug": "sila",
    "former_names": [
      "saiera",
      "sila"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30eef975f26ed420159ac335c08eb8b950705ee2.png",
    "website": "https://silahq.com",
    "all_locations": "",
    "long_description": "Sila is an agentic messenger built for teams and agents to get work done in the same conversations. Simple, instant, global AI messaging and calling. Our mission is to bring super intelligence to everyone worldwide. ",
    "one_liner": "Agentic Messenger",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1772231466,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
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    "status": "Active",
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      "Unspecified"
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The communication tools we use today (Slack, Microsoft Teams, etc) were built over a decade ago for a world that no longer exists. Full of \"fake work\" – endless messages, notifications, context switching, AI slapped on, and pings that feel productive but never move things forward. Nearly 60% of knowledge workers are overwhelmed by their communication tools, and AI is making this worse as work speeds up and the volume of communication explodes. The gap between how teams talk and how work actually gets done has never been wider. Sila rebuilt messaging from the ground up for human-AI collaboration so teams can move faster. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "AI changed what one person could do. Sila changes what an entire company can do together. The default way of communicating and doing work."
      }
    ],
    "url": "https://www.ycombinator.com/companies/sila",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/sila.json",
    "year_founded": 2026,
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    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/silaintelligence/",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 2559833,
        "full_name": "Mith Paresh Patel",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Sila",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mith-patel-",
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      {
        "user_id": 3158002,
        "full_name": "Carl Huang",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Sila",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/carl-huang-/",
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    "launches": [
      {
        "id": 109420,
        "title": "Sila: Agent-Native Messaging Platform",
        "tagline": "Messaging Built For 2026 - Agent-Native Messaging Platform",
        "body": "AI is single-player, but work is not. Everyone knows how to message, so that's how AI should work. You'll message it, it'll message you back, and you'll do it together as a team. \n\nSila is the agent-native messaging platform. Create, share, and interact with proactive agents with your team inside groupchats and direct messages (Team-Agent). Agents collaborate with each other (Agent-Agent), answer customer questions (Agent-Customers), and collaborate with other company agents in shared groupchats (Company Agent-Company Agent).\n\nBring-Your-Own-Agents like Claude Code, Codex, Cursor and swap between models like Claude Fable, GPT-5.6, Deepseek V4 to use them together as a team. \\\n\\\n<https://youtu.be/o5TtWdXjIPU>\\\n\\\nYour company's conversations are the most valuable information on Earth, Sila helps your team use, learn, and act on them by building for multiplayer AI interaction.\n\nThe conversations that define the future will happen on Sila, come start yours. \\\n\\\nWebsite: [silahq.com](http://silahq.com)\\\nX Launch: <https://x.com/mithparesh/status/2085055939036479604?s=20>\\\nLinkedIn Launch: <https://lnkd.in/p/e9MyfnFG>",
        "url": "https://www.ycombinator.com/launches/SSq-sila-agent-native-messaging-platform",
        "votes": 6,
        "created_at": "2026-08-05T17:58:10.418Z"
      },
      {
        "id": 98386,
        "title": "Sila: Agentic Workspace Messaging",
        "tagline": "Sila is an agentic workplace messaging & collaboration platform where teams and AI work as one ",
        "body": "**_Sila is an agentic workplace messaging & collaboration platform where teams and AI work as one._**\\\n\\\nEvery great company in history was built on one thing: communication. Sila is an agentic workspace messaging & collaboration platform for teams and companies. Our mission is to lead human-AI communication as the standard for work.\n\n# Problem\n\nThe communication tools we use today (Slack, Microsoft Teams, etc) were built over a decade ago for a world that no longer exists. Full of \"fake work\" – endless messages, notifications, context switching, AI slapped on, and pings that feel productive but never move things forward. \\\n\\\nNearly 60% of knowledge workers are overwhelmed by their communication tools, and AI is making this worse as work speeds up and the volume of communication explodes. The gap between how teams talk and how work actually gets done has never been wider.\n\n# Solution\n\nWe rebuilt messaging from the ground up for human-AI collaboration.\n\n![uploaded image](/media/?type=post&id=98386&key=user_uploads/2559833/147e96a6-3968-49c7-baee-173a44c2b72d)\n\nOn Sila, custom Claude agents live in your team's channels – talking, listening, and executing alongside naturally. They share updates in real time and automatically evolve based on your workspace conversations, tools, and apps.\n\n![uploaded image](/media/?type=post&id=98386&key=user_uploads/2559833/62b4297e-d404-468b-88e9-11aec0b6c6ba)\n\nEvery AI session within your workspace is shared across your team in a Google Docs-like experience, so anyone can start, delegate, and collaborate together in real time.\n\n![uploaded image](/media/?type=post&id=98386&key=user_uploads/2559833/a96dc13d-89ed-4f6e-a19c-dd3f4c224c70)\n\n# Our Mission & Ask\n\nThus far, AI has changed what one person could do. Sila is on a mission to change what an entire company can do together with AI. This is what work looks like now. \\\n\\\nWe’d love to make your company more efficient and move faster. **If you’re a company thinking about agentic communication, custom agents, or unsatisfied with Slack or Microsoft Team, reach out to [sila@silahq.com](mailto:sila@silahq.com)** and we’d love to talk about working together as we onboard early enterprise partners.",
        "url": "https://www.ycombinator.com/launches/Pas-sila-agentic-workspace-messaging",
        "votes": 12,
        "created_at": "2026-03-03T15:39:50.505Z"
      }
    ]
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    "id": 31256,
    "name": "Canary",
    "slug": "canary",
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    "website": "https://www.runcanary.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI coding tools have made developers 100x faster but customer-facing incidents are up 43% YoY, QA hasn't kept up. Canary is the first AI QA engineer that understands your codebase. Instead of relying on flaky DOM scraping or screenshot analysis, Canary reads your source code directly to understand developer intent and catch broken user flows before they hit production. Engineering teams go from weeks of manual testing to 90%+ coverage in days. Built by a team that built coding agents at Windsurf, Cognition and Google.\r\n",
    "one_liner": "Adversarial AI that breaks your AI",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1770954754,
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We built AI coding agents at Windsurf and Google, tools that made developers 100x faster. But we kept seeing the same problem: teams were shipping code faster than ever, and things were breaking in production. Critical auth bugs affecting Fortune 10’s, region-wide outages, broken user flows, payroll systems going down. The QA process hadn't evolved at all. We realized someone needed to build the validation layer for AI-generated code, and we were uniquely positioned to do it. We understood exactly how these coding agents work because we built them."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Customer-facing incidents are up 43% YoY. AI coding tools have supercharged development speed, but QA is still stuck in the manual testing era. Engineering teams are either spending weeks writing and maintaining test suites, or shipping and praying with 0% test coverage. Existing testing tools rely on brittle DOM scraping or screenshot analysis that breaks constantly. Canary solves this by reading source code directly, the same codebase developers write, to understand intent and automatically validate every critical user flow"
      }
    ],
    "url": "https://www.ycombinator.com/companies/canary",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/canary.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/canaries-inc/",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
      {
        "user_id": 1465952,
        "full_name": "Aakash Mahalingam",
        "title": "Founder/CEO",
        "founder_bio": "Building Canary: Adversarial AI that breaks your AI.\n\nPreviously built Windsurf's enterprise product, worked on Applied AI tooling around foundational models for enterprises. Launched the enterprise self-serve plan to $20M ARR in 6 months. \nICPC APAC finalist. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aakashmahalingam",
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      {
        "user_id": 3186931,
        "full_name": "Viswesh N G",
        "title": "Founder/CTO",
        "founder_bio": "Building Canary: The first AI QA engineer that understands code\n\nArchitected the engine that beat GPT-5.4 and Claude Opus 4.6 by 11–26 points on QA-Bench. Previously at Google Cloud: built the zone recommendation system for SAP workloads that GCP sales use to place enterprise deployments; \nPrev at Swiggy: re-architected Swiggy's infra serving 300K orders/day. \nICPC APAC finalist.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/visweshng/",
        "x_url": "https://x.com/g_viswesh?s=21&t=siO0a79yNQPfwk_Nn8B9NA",
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    "launches": [
      {
        "id": 97890,
        "title": "Canary 🐥: The first AI QA Engineer that understands your codebase",
        "tagline": "The validation layer for AI generated code.",
        "body": "Hey everyone, we're the founding team behind Canary, ex-Windsurf and Google engineers.\n\n# **TL;DR**\n\n[Canary](https://www.runcanary.ai) is the first AI QA engineer that understands your codebase. Built by a team of ex-Windsurf and Google engineers, Canary reads your source code to understand what your app is supposed to do, then tests it like a real user would. Teams using Canary have caught broken auth flows, slow page loads, and drifts in AI responses before users hit them. Chat with us [here](https://cal.com/runcanary/founders-canary)\n\n<https://youtu.be/IeP7H_E8yCM>\n\n# **The Problem**\n\nAI coding tools have made every engineering team 5–10x faster. Code generation is a solved problem. Code validation is not.\n\nCustomer-facing incidents are up 43% year over year. PRs are bigger, code reviews still happen in file diffs, and nobody is testing real user journeys before merge. Changes that look clean in review break checkout, auth, and billing in production.\n\nQA teams are either non-existent or underwater. Manual testing can't keep up with AI-generated code volume. E2E test suites don't scale. The gap between shipping speed and validation is widening every sprint.\n\n# **How Canary Works**\n\nCanary connects to your codebase to understand how your app is built — routes, controllers, validation logic, API schemas. When it runs tests, it uses your code as the reference point to verify and understand how to execute them.\n\n**PR Testing**\n\nPush a PR. Canary reads the diff to know what changed, uses your codebase to understand the intent behind your application and the changes, then generates and runs tests against your preview app, checking real user flows end to end.\n\n**_Step 1: Canary analyzes your PR and comments what it found_**\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/5a5754e8-e0f2-4c5b-bd10-fc1ab314ed3b)\n\n**_Step 2: Canary runs tests and reports results directly on the PR_**\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/001bd6ff-fd2b-4344-b272-e3fd630ea3d8)\n\n**_Step 3: Click into any failed test to see exactly what broke_**\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/d0ca3915-0fb2-4226-9f78-05647886bb46)\n\n**_Step 4: Want a specific user flow tested? Trigger it through a PR comment_**\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/cf303da1-9272-461e-83e6-206f45569cfb)\n\n**Regression Testing**\n\nMove any PR test into a regression suite for ongoing use. Or describe what you want to test in plain English on our platform.\n\nCanary generates a full test suite from your codebase, schedules it, and runs it continuously. Regression suites also run on every PR, catching bugs from new code changes before they ship.\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/a070c92d-dda3-47d8-8b92-a1ae26b05f3b)\n\n# **Run Canary**\n\nTeams using Canary have caught broken auth flows, slow page loads, and drifts in AI responses as well.\n\nWe're now working directly with engineering and product teams to customize Canary to their codebase and workflows. If your team is shipping with AI coding tools and quality feels like it's falling behind, we'd love to work with you.\n\nReach out at [founders@runcanary.ai](mailto:founders@runcanary.ai) or chat with us directly [here](https://cal.com/runcanary/founders-canary)\n\n# **The Team**\n\nThe founding team comes from Windsurf and Google, with deep experience building AI coding tools, AI inference systems, and enterprise-scale infrastructure.\n\nWe've built the AI tools engineers use to ship faster. We've built the enterprise systems those tools ship into. We've built both sides, Canary sits at the intersection.",
        "url": "https://www.ycombinator.com/launches/PSs-canary-the-first-ai-qa-engineer-that-understands-your-codebase",
        "votes": 13,
        "created_at": "2026-02-17T21:18:29.099Z"
      }
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    "id": 31258,
    "name": "Dream",
    "slug": "dream",
    "former_names": [
      "Dream Browser"
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    "website": "https://www.pingdream.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dream makes AI cameras that catch damage teams miss. Car dealerships, equipment rental companies, fleets, and more move expensive assets in and out all day, and undocumented damage is a costly leak.\r\n\r\nDream cameras are simple to set up and work automatically. Each vehicle or machine that passes is photographed from every angle, identified, and reconstructed into a complete condition record. On return or intake, Dream instantly flags new dents, scrapes, and changes your team might miss, giving one source of truth for every asset's condition over time.\r\n\r\nRyland worked at X/xAI and built aerial damage-detection vision at Vexcel Imaging. Alexander worked at AWS and trained edge-camera models deployed in the wild across Africa and India to detect poachers.",
    "one_liner": "Using VLMs to Catch Damage",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1786646316,
    "tags": [
      "Hardware",
      "Machine Learning",
      "Computer Vision",
      "B2B",
      "AI"
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    "isHiring": false,
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    "batch": "Summer 2026",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dream",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/dream.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pingdream",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1393934,
        "full_name": "Ryland Birchmeier",
        "title": "Founder",
        "founder_bio": "Ryland Birchmeier is Co-founder of Dream (YC S26), building pocket-sized, battery-powered AI cameras that automatically capture assets and catch damage teams miss at car dealerships, equipment rental companies, and more.\n\nPreviously, Ryland worked at X/xAI and built aerial computer vision at Vexcel Imaging. He studied computer science at the University of Virginia.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rylandbirchmeier",
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      },
      {
        "user_id": 1456894,
        "full_name": "Alexander Halpern",
        "title": "Founder",
        "founder_bio": "Alexander Halpern is Co-founder of Dream (YC S26), building pocket-sized, battery-powered AI cameras that automatically capture assets and catch damage teams miss at car dealerships, equipment rental companies, and more.\n\nPreviously, Alexander built agents for AWS Marketplace and trained models for edge computing cameras deployed across Africa and India to detect poachers hunting endangered wild cats at Panthera. He studied computer science at the University of Virginia.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexanderhalpern",
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      {
        "id": 110473,
        "title": "Dream - Pocket-sized AI cameras that catch asset damage",
        "tagline": "Dream makes pocket-sized, battery-powered AI cameras that catch damage teams miss.",
        "body": "Hey everyone 👋, we are Ryland and Alexander, co-founders of Dream.\n\n**TL;DR: Dream automatically photographs every vehicle or machine that passes through your gate, builds a 3D condition record, and uses AI to catch new damage the moment an asset passes through.**\n\n**Launch Video: [https://youtu.be/uMP12lCb12E](https://youtu.be/uMP12lCb12E)**\n\n**The problem**\n\nDamage is an expensive leak for anyone who moves large, expensive assets in and out all day. It shows up two different ways:\n\n**Car dealership service departments**\n\n* As a car pulls into the service entrance, damage that could be identified and fixed goes unnoticed, which is lost revenue.\n* Without a record of the car's condition on arrival, disputes come down to the customer's word against the dealership's, and the dealership gets blamed for pre-existing damage.\n\n**High-value asset rentals (heavy equipment, trucks, boats, planes, trailers)**\n\n* Teams are inconsistent about photographing assets as they go out and come back, so new damage gets missed before the customer is billed.\n* When damage is missed, there's no evidence to charge the customer, so the company eats the repair cost out of pocket.\n\n**What Dream does**\n\nDream cameras sit at your gate, lane, or service drive and turn every pass into evidence, automatically:\n\n* **Continuous capture:** every vehicle or machine that moves through is photographed from every angle. No one has to remember to do it.\n* **Asset identification:** Dream knows exactly what you need to look at.\n* **3D reconstruction:** every pass becomes a complete 3D condition record for that asset.\n* **AI damage detection:** on return or intake, Dream compares against the last record and flags new dents, scrapes, and visible changes right away.\n\nThe result is one clear source of truth for every asset's condition over time: rental companies catch damage before they bill so they stop eating repair costs, and dealership service departments find more fixable damage and resolve customer disputes with evidence.\n\nWorks across cars, vans, trucks, heavy equipment, and more.\n\n**Why us**\n\nWe have spent years training models for aerial imaging and edge computer vision devices. Ryland has worked on the exact problem of detecting damage to assets from aerial imaging, such as degraded paint. Alexander has trained models that run on edge cameras deployed in the wild in Africa and India to detect poachers.\n\n**Our ask**\n\nWe're onboarding partners now. **We'd love intros to:**\n\n* **Car dealerships**\n* **High-value asset rental companies** (heavy equipment, trucks, boats, planes, trailers)\n\nIf you run one of these, or know someone who does, please message us on LinkedIn!",
        "url": "https://www.ycombinator.com/launches/Sjp-dream-pocket-sized-ai-cameras-that-catch-asset-damage",
        "votes": 7,
        "created_at": "2026-08-14T17:00:00.348Z"
      }
    ]
  },
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    "id": 31262,
    "name": "Talking Computers",
    "slug": "talking-computers",
    "former_names": [
      "Standard Agent Labs",
      "Analytical Engine",
      "Speedtrain",
      "Also"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/128accc2541817ad412100385d460be4311cfcf8.png",
    "website": "https://talkingcomputers.ai",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "AI lab building interaction models to make AI symbiotic with humans.\r\n\r\nOur early models sit at the Pareto frontier of intelligence and interactivity, measured by time to first audio token, and enable voice agents that are both highly capable and genuinely human-like",
    "one_liner": "Real-time interaction models for voice agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1772563423,
    "tags": [
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/talking-computers",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/talking-computers.json",
    "year_founded": 2025,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/talkingcomputers",
    "x_url": "https://x.com/talkiecomputers",
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        "founder_bio": "Making computers talk. Prev CS @ Waterloo, Inference @ Modular",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/parsa-bahrami/",
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    "launches": [
      {
        "id": 98425,
        "title": "Talking Computers: The AI Communication Lab",
        "tagline": "Building Facility, The Workplace for AI",
        "body": "Talking Computers is a new AI Lab focused on Communication.\n\nWe believe communication is the key bottleneck to AI workforces powering every business & household in the world. We build AI computers that address this bottleneck.\n\nOur **AI Computer, TC-1, is a general agent with Ambient Intelligence**, meaning it can think in its subconscious whilst it does a task or communicates, just like humans do.\n\nAmbient Intelligence enables TC-1 to be a self-improving, proactive coworker, indistinguishable from a remote employee. TC-1 is great at interacting with humans and AI to complete long horizon tasks across all your channels. It is also great at using the web, all your tools, and can even build its own tools!\n\nYou can access TC-1 inside of our first product, **Facility, the workplace for AI**.\n\nThe workplace is changing from a human centric one, to one that is run by machines. **The** **Facility platform is home to your company’s parallel AI workforce**.\n\nIn Facility, each human employee of your organization gets their own AI computer, TC-1, that remembers everything about them and can do all their tasks across the web and all their systems. Their AI computer personalizes to them and learns their habits.\n\nFacility builds an intranet of all the AI computers in your organization, enabling communication between them. For the first time, your AI workforce can now speak to each other (and humans via Slack, Teams, and Email) to get tasks done.\n\nOur partners are the next generation of companies are supercharging their businesses with a fleet of AI computers that work round the clock for them inside of Facility.\n\nJoin them to deploy a 24/7 AI Workforce inside of your business. Get a demo of Facility today @ <https://talkingcomputers.cal.com/zayaan/30min>",
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        "votes": 9,
        "created_at": "2026-03-04T02:37:25.778Z"
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    "id": 31263,
    "name": "Veriad",
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        "full_name": "Rohan Mahendraker",
        "title": "Founder/CEO",
        "founder_bio": "Rohan is the co-founder and CEO of Veriad. He is a self-taught software engineer and has built and sold compliance software to Fortune 500s. Before Veriad, Rohan was a founding engineer at CoLoop (YC S21), where he built their eval suite and AI agent. ",
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        "linkedin_url": "https://www.linkedin.com/in/rohanmahen/",
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        "user_id": 1856834,
        "full_name": "Anton Muratov",
        "title": "Founder",
        "founder_bio": "Anton is the co-founder and Chief Commercial Officer of Veriad. He previously closed 7-figure deals with the largest bank in the US, the largest fashion group in the world, and advised Fortune 500s on regulatory policy. Before Veriad he advised YC startups and 9-figure scale-ups on GTM. In a previous life he was a competitive long-distance runner.",
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        "linkedin_url": "https://www.linkedin.com/in/antonmuratov/",
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        "id": 97377,
        "title": "Veriad: AI compliance officers",
        "tagline": "Automating marketing compliance so brands don't get cancelled or sued",
        "body": "Hi all, we’re Anton and Rohan, founders of Veriad.\n\n**TL;DR**\n\nMarketing teams are being held back by manual content reviews. Veriad automatically checks whether content is compliant with brand and legal guidelines so they can publish 10x faster.\n\n**Want to see Veriad in action? Book a demo here:**\n\n<https://cal.com/team/veriad/veriad-introduction>\n\n**Our Launch Video:**\n\n<https://youtu.be/rsdj3FqUE9U>\n\n**Why This Matters**\n\nCompanies spend $1T on ads every year. $100B is wasted on ineffective ads due to non-compliance with brand guidelines, regulations, and platform best practices. So millions of lawyers, marketers, and compliance officers manually review every piece of content.\n\nThis process is slow, expensive, and about to break - AI tools are letting teams create 100x more content and human reviewers won’t be able to keep up.\n\n**Our solution**\n\nVeriad automates the entire process at scale. Our agent ingests brand policies, industry guidelines, and precedents, then analyzes every piece of content automatically - providing instant feedback to marketers. Veriad integrates directly into your marketing stack, to ensure that brand equity is protected across all surface areas.\n\n**Team**\n\n![uploaded image](/media/?type=post&id=97377&key=user_uploads/891759/79a75d50-6908-41d1-9369-1d2086d23ab5)\n\nWe met working at CoLoop (YC S21) where Rohan joined as employee #7 as a founding engineer and built out the agentic product line, and Anton advised the founders on GTM and Growth, having previously closed 7-figure deals with Fortune 10-500 companies.\n\n**Get in touch**\n\nIf you know/work at a consumer-facing company that fits **any of these** criteria, we’d love to chat:\n\n* Ad spend of $50M or more annually\n* Operates in an industry where advertising is regulated\n* Reviews thousands of marketing assets annually\n* Has a content review team / process\n* Faces bottlenecks in their ad approval workflows, with long waiting times\n\nPlease get in touch with us at [anton@veriad.ai](mailto:anton@veriad.ai) / [rohan@veriad.ai](mailto:rohan@veriad.ai)  or check out our website [veriad.ai](http://veriad.ai) to learn more and book a demo!",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Gobhanu Sasankar Korisepati",
        "title": "Founder/CEO",
        "founder_bio": "Gobhanu left Wharton's Huntsman Program to go all in on Vela. Ex- Perplexity & BCG AI. Z Fellow. Previously founded SWIFTmfi (a microfinance bank) at 14, disbursed loans across 77 countries.",
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        "full_name": "Saatvik Suryajit Korisepati",
        "title": "Founder/President",
        "founder_bio": "Saatvik dropped out of UChicago (Booth Scholar, MBA/MS CS) to build Vela. Filed his first patent at 16. Previously an award winning engineer on AWS's ML Supercompute team. BS CS + IS from Carnegie Mellon. Z Fellow.",
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        "title": "Founding Engineer @ Vela | Solving Scheduling",
        "url": "https://www.ycombinator.com/companies/vela/jobs/RCx5tKX-founding-engineer-vela-solving-scheduling",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
        "salary_range": "$110K - $300K",
        "equity_range": "0.01% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/vela/jobs/sv62rsO-ai-operations-associate",
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        "id": 100909,
        "title": "Member of Technical Staff @ Vela",
        "url": "https://www.ycombinator.com/companies/vela/jobs/fbvQRtr-member-of-technical-staff-vela",
        "location": "San Francisco, CA, US",
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        "title": "Founding Customer Success Lead",
        "url": "https://www.ycombinator.com/companies/vela/jobs/eMkJlvY-founding-customer-success-lead",
        "location": "San Francisco, CA, US",
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        "id": 114066,
        "title": "Founding Recruiter, India",
        "url": "https://www.ycombinator.com/companies/vela/jobs/YLfFzDU-founding-recruiter-india",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Full cycle",
        "salary_range": "₹800K - ₹1.2M INR",
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        "id": 97575,
        "title": "Vela: AI Scheduling That Adapts to How You Work",
        "tagline": "Automated white glove coordination for the most complicated workflows, without the headache.",
        "body": "## Hey everyone - we’re Gobhanu and Saatvik, founders of @Vela\n\n\\\n**TL;DR**\\\nThe first scheduling agent that handles the messy reality of coordination - negotiating times, coordinating interviews, prioritizing VIPs, and managing your calendar exactly like a human EA wherever you communicate (email, messages, phone calls, etc).\\\n\\\n<https://youtu.be/j5uLJQl1iAU>\n\n**🧩 The Problem** \\\nMost scheduling tools assume the world is perfect. They expect rigid time slots and instant replies. But that is not how real business happens. Real business is \"Let's do early next week.\" Real business is a VIP client needing a slot over an internal catch-up. Real business is someone ghosting you for a week. Currently, we have three bad options:\n\n* **The Manual Way:** Personal but a massive time-sink that distracts from deep work.\n* **The \"Calendly\" Way:** Efficient but impersonal. It signals \"my time is more important than yours\" and breaks the moment you have complex constraints.\n* **The Human EA:** Great, but costs $80k/year and isn't available 24/7.\n\n**💡 The Solution** \\\nNow there's Vela. It is an autonomous agent built for the messy reality of coordination. It doesn't just book slots; it **negotiates** on your behalf with the white-glove service of a human executive assistant.\n\n**How it works:**\n\n* **The \"Just CC\" Workflow:** Write your message naturally: _\"Looping in Vela to find a time for us next week.\"_ Vela parses the conversation, checks your calendar, and reaches out to the other person directly to negotiate a slot. \n* **It Knows What’s Important To You:** Vela understands social hierarchy. It knows to prioritize a client over a coffee chat without you setting specific rules.\n* **It Handles Ambiguity:** You don't need to give it rigid parameters. Tell Vela \"Friday evenings are free,\" and it understands exactly what that means.\n\n**🔧 Traction & Story** \\\nWe built Vela because we saw high-performing teams drowning in admin work. Today, Vela is already used by the most demanding schedulers in the world - from **Enterprise Recruiters** scheduling thousands of multi-party interviews a week to **Startup CEOs** who need white-glove coordination at scale.\n\n**Our Team**\\\nWe are brothers who have been building together for years. Our last startup SWIFTmfi impacted millions across 77 countries! Together we combine experience from AWS ML & Supercompute, Perplexity, BCG AI, E&Y, Wharton (Huntsman), CMU, Georgia Tech, & UChicago - Booth.\n\n**🙌 The Ask** \\\nIf you are or know any high-volume schedulers with complicated needs (recruiting/staffing firms, sales teams, law firms, founders etc.), we’d love to hear from you and for you to try Vela.\n\nVisit [**tryvela.ai**](http://tryvela.ai) or email us directly at [**founders@tryvela.ai**](mailto:founders@tryvela.ai)",
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    "id": 31269,
    "name": "MochaCare",
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    "subindustry": "B2B -> Operations",
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        "full_name": "Nicolas Walker",
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        "founder_bio": "BSCS, MSCS @ Stanford. Focused on AI/HCI.\n\nPreviously worked at\n- Linktree: product engineering & growth experimentation\n- Spotify: personalization and product\n- Amazon (AWS): software engineering, data\n- Microsoft (Azure): software engineering, IoT\n\nI'm a former caregiver and have led a community service org with 300+ volunteers.\n\nI'm very grateful to be working in the care industry. My grandparents raised me as a child and giving back to our aging population is incredibly fulfilling for me.",
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        "full_name": "Pranav Uppiliappan",
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        "url": "https://www.ycombinator.com/companies/mochacare/jobs/uLiequC-founding-product-engineer",
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      {
        "id": 98296,
        "title": "MochaCare – Grow Your Home Care Agency with Human Virtual Assistants Supercharged by AI",
        "tagline": "Home care's growth service",
        "body": "**MochaCare** ([mochacare.com](http://mochacare.com)) unlocks home care agency growth with human virtual assistants supercharged by AI. We take hiring, scheduling, or both off agencies' plates so they can spend less time drowning in ops and more time building relationships in their communities. \\\n\\\nEverything we do generates data insights that surface growth opportunities, from referral leads to sales enablement during intake calls.\n\n![uploaded image](/media/?type=post&id=98296&key=user_uploads/570409/6292e9a2-6ebc-4f33-9cf0-1e60f6c1ca3f)\n\n\\* Note: a home care agency is a company that hires and manages caregivers on behalf of people seeking care. These caregivers typically work with clients in their homes or in facilities.\n\nWe personally embed into the agencies we work with. Our AI hiring and scheduling agents handle most tasks for us, but we are always monitoring the feed and jumping in if emergencies arise.\n\nNick goes to bed at 3:30am and Pranav wakes up at 3:30am to guarantee 24/7 coverage.\n\n**What problem are you solving?**\n\n1. **Home care agency operators** want to deliver quality care to their communities, not to stay glued to their phones 24/7 handling hiring and scheduling. They’re burning out and are unable to grow their businesses.\n2. **Families** want reliable care. They need to know that the best caregivers are going to show up for their loved ones at the right time and need home care agencies to be energized so they can deliver their best care. Scheduling and hiring mishaps erode the quality of care and cause service failures for these families.\n3. **Caregivers** want work quickly and don’t want to deal with manual data entry. They needed their next paycheck yesterday. Our hiring agents (including AI interviewers and interview coordinators) get them through the process swiftly. Once hired, they need to know about the best shifts for them. Our scheduling agents alert them to these and help them focus more on care and less on manual tasks like shift note entry.\n\n**Why are you working on this?**\\\nWe were both raised by our grandparents who gave the world to us. We want to live in a world where they receive the same quality care and attention that they gave us growing up. Currently, there’s a gap between that world and where we are today.\n\nWe’ve seen this first-hand. Home care operations can fall short—Nick’s grandma recently started receiving home care and had no caregiver show up on day one. We don’t want this to happen again.\n\nOn the other side of the equation, we’ve seen agency owners with the largest hearts feel hopeless about their work. We want to uplift these people and allow them to reclaim their time, get back to delivering care, and start growing their agencies.\n\nBy helping agencies deliver care more effectively, we protect the superheroes who care for our communities and the people who they care for, like our grandmas!\n\n**Our ask:**\\\nIntros to home care agencies, home health agencies, or anyone who advises seniors on care options (since these people typically know home care agencies).\n\nThank you for taking the time to read this!",
        "url": "https://www.ycombinator.com/launches/PZQ-mochacare-grow-your-home-care-agency-with-human-virtual-assistants-supercharged-by-ai",
        "votes": 8,
        "created_at": "2026-02-28T17:24:03.310Z"
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    "id": 31271,
    "name": "VOYGR",
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    "website": "https://voygr.tech",
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    "long_description": "VOYGR is a better maps API every agent and AI app will need. Google says '4.2 stars, open till 10 – VOYGR knows the chef left, wait times doubled, and locals moved on. Our intelligent local search combines accurate place data with fresh web context – news, articles, and events. We expand beyond 10-15 map attributes into infinite, queryable place profiles, enabling agents to reason and act in the real world.\r\n\r\nMaps are no longer browsed – LLMs/agents use them to reason and act. 20M+ apps/websites, up to 40% of search queries, and 20% of LLM prompts need local context. \r\n10-15 attributes per place are not enough for AI. Places change constantly - restaurants close, hours change, businesses move. LLMs struggle with semantic queries “Specialty coffee shops in SF with Wi-Fi, popular with YC founders”. Agents cannot reliably “parse half the internet” - they need real-world ontology\r\n\r\nWe’re experienced builders in maps, search, and ML to solve this. Vlad knows this space inside and out – he worked on the Google Maps APIs GTM, plus firsthand customer experience from building in ridesharing and travel. Yarik has spent over a decade leading ML/search teams at Apple, Google, and Meta. \r\n\r\nGoogle Places alone is a $XXB/Yr monopoly. Agents turn it into a transactional layer opportunity for local commerce and ads.",
    "one_liner": "Real-world place intelligence for AI apps and agents",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 325375,
        "full_name": "Vlad Baskakov",
        "title": "Founder/CEO",
        "founder_bio": "Vlad is the co-founder and CEO of VOYGR. He brings firsthand experience from Google Maps, where he led Product Strategy and GTM, bootstrapping new API products, shaping Maps–Gemini data sharing, and driving key improvements in merchant experience and offline ads. He has 15+ years of Growth and GM experience across mapping and its core markets – ridesharing and travel. He previously worked at McKinsey and holds an MBA from Harvard.",
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        "user_id": 2548451,
        "full_name": "Yarik Markov",
        "title": "Founder/CTO",
        "founder_bio": "CTO, 20 years in tech, 10+ years of leading Infra/ML/Search at Google/Meta/Apple",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yarik-markov-b40b8341/",
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      {
        "id": 93490,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/voygr/jobs/FYeofGm-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 122247,
        "title": "PlaceCall by VOYGR – The phone is the last API",
        "tagline": "Find the right businesses. Call them in parallel. Get answers, quotes, and bookings – all through one API.",
        "body": "Hey everyone 👋 We are Vlad and Yarik, founders of[ VOYGR](https://voygr.tech/), building tools for apps and agents to engage with local businesses. \n\nWe created[ PlaceCall](https://voygr.tech/placecall/) so apps and AI agents can call US businesses and get things done. Give it phone numbers and a task in plain English - or describe what you need, and it finds businesses to contact. PlaceCall navigates phone menus, waits on hold, talks to the business, and returns a structured outcome, transcript, and recording.\n\n<https://youtu.be/leGYyjSV6Bc>\n\n☎️ **The problem**\n\nWe previously worked on Google Maps and Search, where we saw how hard it is to keep business information current. At VOYGR, we kept running into the same problem: sometimes the only way to verify whether a business is open is to call. So we built PlaceCall.\n\nOn July 4, we were driving through Portland looking for dinner. Google Maps said “Holiday hours may vary.” We tried AI assistants (Poke was trending then), but they couldn’t confirm which restaurants were open and taking walk-ins. Our own API found 15 sushi or Thai restaurants and called them in parallel. **Two confirmed they were open and taking walk-ins. One was marked closed on Google Maps.** Your app can find a restaurant, but someone still has to call.\n\nThis is the problem we kept seeing. “Are you showing the game tonight?” “Are you accepting new patients?” “Do you have this collectible in stock?” These answers often live with whoever picks up the phone.\n\n✅ **Why PlaceCall?**\n\n* **Task in, outcome out.** Describe what you need in plain English – no agent to build or configure. Get a structured outcome + transcript + recording.\n* **Parallel calls.** Contact multiple businesses at once to find availability or compare quotes.\n* **Discovery built in.** Don’t have phone numbers? PraceCall recommends the best venue, service, or vendor.\n\n**💻What developers are building**\n\nAt our hackathon, developers used PlaceCall to:\n\n* Check whether doctors were accepting new patients.\n* Get tire quotes from local shops.\n* Find stores carrying specific collectibles.\n* Run short phone surveys.\n\nSince then, we’ve secured pilots with **AI business assistants across travel, healthcare, and service dispatch.** They often need both parts: finding the right businesses and handling tasks over the phone.\n\n**💻Try it - first 250 calls free**\n\nUse PlaceCall through the API or connect your agent via MCP.\n\nSetup guide:[ ](https://github.com/voygr-tech/placecall)[**github.com/voygr-tech/placecall**](http://github.com/voygr-tech/placecall) or [**voygr.tech/placecall/**](http://voygr.tech/placecall/)\n\nMCP endpoint:[ **https://api.voygr.tech/mcp**](https://api.voygr.tech/mcp)\n\n**🤝 Our ask**\n\nTry PlaceCall on a real task and tell us what worked, what failed, and what’s missing. Building an app or agent that needs to call businesses? We’d love to hear what you’re building:\n\n**📩 [founders@voygr.tech](mailto:founders@voygr.tech)**\n\n**🌐 [voygr.tech](http://voygr.tech)**\n\n![uploaded image](/media/?type=post&id=122247&key=user_uploads/325375/c118df4b-4ab8-4dd3-b20a-de636aeed8ab)\n\n",
        "url": "https://www.ycombinator.com/launches/Vnj-placecall-by-voygr-the-phone-is-the-last-api",
        "votes": 104,
        "created_at": "2026-10-15T20:12:23.191Z"
      },
      {
        "id": 97389,
        "title": "VOYGR: Validate & enrich your place data at scale",
        "tagline": "VOYGR delivers comprehensive, up-to-date information about places and local businesses 🌍",
        "body": "Hey everyone 👋\\\nWe’re Vlad and Yarik, founders of VOYGR.\n\nHave you ever asked ChatGPT for a restaurant recommendation, only to have it suggest a place that hasn’t been open in years?\n\nVOYGR is the most accurate API for companies to validate and enrich their place records at scale. We deliver comprehensive, up-to-date information about places and local businesses for AI apps, agents, and analytics. We also offer far richer place attributes than standard mapping APIs (for example, which sauna Justin Bieber frequents).\n\n<https://youtu.be/Q8-SY24490o>\n\n👥 **Team**\\\nVlad knows this space inside and out – he worked on the Google Maps APIs GTM, plus firsthand customer experience from building in ridesharing and travel. Yarik has spent over a decade leading ML/search teams at Apple, Google, and Meta.\n\n❌ **The problem**\\\nReal-world interactions rely on mapping data: 15M+ websites, 40% of search queries, and up to 20% of LLM prompts need local context. Yet even a simple restaurant recommendation often fails: the place may no longer exist, there’s no menu-level search, or – god forbid – you need to ask something nuanced (“what’s available that’s gluten free?”).\n\nThe gap is place data – it goes stale, and the attributes are shallow. Google Maps API comes with strict terms, but companies need flexible access, plus analytics and the ability to match against proprietary data.\n\n✅ **Our solution**\\\nVOYGR keeps place data accurate and current at scale. We confirm what’s live, resolve inconsistencies, and combine rich, fresh web context like news, articles, and events. \n\n1. **Place validation & operating status** – Confirm a place exists and is currently operating. We detect discrepancies, rebrands, and closures.\n\n   ![uploaded image](/media/?type=post&id=97389&key=user_uploads/325375/d5166513-44d4-48ab-9110-038e33ccf735)\n\n2. **Place data enrichment** – Populate and continuously enrich place records using web, social, and authoritative data sources, from foundational attributes (address, category, contacts, web presence) to operating data (hours, features, amenities, etc.).\n\n   ![uploaded image](/media/?type=post&id=97389&key=user_uploads/325375/a03fce95-2f7b-4999-8781-b792590f5a6b)\n\n\n🎯 **Who it’s for**\\\nTeams with large-scale place data and real-world ops: mapping, geospatial analytics, transportation & logistics, search/discovery apps. We support a broad range of industry workflows: transaction enrichment for banks and issuers, property indexing for real estate, site selection for retail, sales territory planning, ads measurement, and more.\n\n🤝 **Our ask**\\\nWe’re looking for customers and design partners who have place datasets and high freshness requirements. If you’re building anything where “local” matters, we’d love to talk!\n\n📩 [founders@voygr.tech](mailto:founders@voygr.tech)\\\n🌐 [voygr.tech](http://voygr.tech)\n\n**Maps tag places** – **VOYGR understands.**\n\n![uploaded image](/media/?type=post&id=97389&key=user_uploads/325375/69faf142-ab22-4eda-b7ac-7f273e2e4492)\n\n",
        "url": "https://www.ycombinator.com/launches/PKn-voygr-validate-enrich-your-place-data-at-scale",
        "votes": 42,
        "created_at": "2026-02-02T15:42:27.355Z"
      }
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    "id": 31272,
    "name": "Poth Labs",
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    "website": "https://pothlabs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Poth is an agentic research platform that connects to your company data, creates hypotheses about what might be causing problems, and validates them using both existing data and adaptive user feedback.",
    "one_liner": "The customer brain that connects data to explain customer behavior",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1782326273,
    "tags": [
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      "Workflow Automation",
      "Market Research",
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    "batch": "Summer 2026",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/poth-labs",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
      {
        "user_id": 2622339,
        "full_name": "Mojmir Horvath",
        "title": "Founder",
        "founder_bio": "Cofounder & CTO of Poth Labs. Ex-Tietoevry and Phillips Academy",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mojmir-horvath/",
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    "launches": [
      {
        "id": 106978,
        "title": "Ask Poth—ask anything about your customers",
        "tagline": "The internal voice of the customer",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR: Your customer data is fragmented across Pylon, Granola, Posthog, Hubspot, Slack, and Notion. Poth connects that information into a living model of your customers, mapping analytics from Posthog and transcripts from Granola to the same customer, so you can finally answer the questions that live across multiple tools: churn, adoption or what to build next, with cited evidence. pothlabs.com**\n\n<https://youtu.be/k9gsdaxXdtM>\n\n**The problem:**\n\nCompanies have customer information scattered across support tickets, sales calls, CRM notes, surveys, interviews, product analytics and more. \n\nBut answering a new question about customers still usually means manually searching across those systems or beginning another research project.\n\n**The (soft) pivot:**\n\nWe originally built Poth to generate hypotheses and launch adaptive interviews and surveys to test them. To determine what questions to ask and which customers to ask, Poth first had to understand all of the customer information a company already had.\n\nUnder the hood, we built a customer knowledge graph: Poth identifies the important objects in a company’s data: customers, accounts, users, products, features, conversations, behaviors, and feedback, and connects them through their relationships.\n\nAs we integrated with more teams, we noticed that several were using this underlying model as much as, or more than, the survey functionality itself. They wanted to ask questions across everything their customers had already said and done so we made that a core part of the product!\n\n**Customer knowledge graph example:**\n\nFor a company like Slack, Poth might model five objects:\n\n* **Account**  (a company paying for Slack)\n* **User**\n* **Workspace**\n* **Feature** (Slack Connect, Huddles, Canvas, or workflows)\n* **Customer signal** (A support ticket, call transcript, survey response, or product event)\n\nIt then connects them through relationships such as:\n\nUser —BELONGS_TO→ Account Account —OWNS→ Workspace User —USED→ Feature Customer Signal —CREATED_BY→ User Customer Signal —REFERENCES→ Feature\n\nSlack could then ask:\n\n“Why are enterprise accounts trying Slack Connect but not adopting it broadly?”\n\nAnd Poth could connect low Slack Connect usage in PostHog, permission-related support tickets in Pylon, security concerns mentioned in Granola transcripts, and renewal context from HubSpot, all through the same accounts, users, workspaces, and features.\n\nInstead of returning a generic summary, Poth can show the supporting and contradicting evidence, cite the underlying sources, and explain what information is still missing.\n\nIn practice, the model contains many more objects and relationships based on each company’s business and data.\n\n**Ask Poth:**\n\nConnect your customer data sources and internal documentation. Poth automatically builds the living model, and your team can ask questions naturally across everything customers have said and done.\n\nWhen the existing evidence is not enough, you can also use Poth to launch adaptive interviews and surveys to collect what is missing.\n\nSome use cases we’ve seen:\n\n* **Discovery:** “Across our discovery calls, what do users want most that we haven’t built?”\n* **Adoption and growth:** What is preventing activated customers from adopting more of the product and expanding?”\n* **Churn and risk:** “Identify the top three reasons customers have churned, then flag the five active accounts showing similar warning signs.”\n* **Win-loss analysis:** “What are the most common reasons we lose enterprise deals, and which product gaps are actually affecting revenue?”\n* **Account intelligence:** “Give me everything relevant to this account before my next customer call.”\n\n**Our ask:**\n\nWe’re already working with several teams in the YC batch, and we’re looking for more companies whose customer context is spread across several systems.\n\nI’d especially appreciate introductions to:\n\n* Founders and product leaders at growing startups with significant customer data across three or more tools\n* Heads of Customer Insights, Voice of the Customer, Customer Experience, User Research, or Customer Success at larger companies\n\nAnd if your team has important customer questions it still cannot answer confidently, email me at [matthew@pothlabs.com](mailto:matthew@pothlabs.com)! We’ll work closely with early teams to connect their core systems and get them live.\n\npothlabs.com",
        "url": "https://www.ycombinator.com/launches/RpS-ask-poth-ask-anything-about-your-customers",
        "votes": 7,
        "created_at": "2026-07-22T20:02:23.718Z"
      },
      {
        "id": 103949,
        "title": "Poth Labs - The AI Native Customer Research Platform",
        "tagline": "Understand why users behave the way they do—hypotheses from your data, validated through interviews.",
        "body": "**TL;DR:** Poth helps you understand _why_ your users behave the way they do. It uses your company's data and context to generate hypotheses, then validates them through adaptive user interviews until it uncovers the root cause.\n\n**What we do:** Poth is an AI-native customer research platform\n\nAnalytics tools show behavior. Traditional research tools ask users static, predetermined questions. Poth connects the two—starting from your own data.\n\nIt takes a company's existing data and context to generate hypotheses, validates them through adaptive interviews, and continuously updates its questioning based on each user's responses—helping teams uncover the reasons behind churn, failed activation, checkout abandonment, or any user behavior.\n\n<https://www.youtube.com/watch?v=YHgz41ItGhI>\n\n**Who we are:** Before Poth, I (Matthew) was an FDE at Palantir, where I worked closely with enterprise customers to help them make better use of their data. My co-founder Mojmir was a data scientist at Tietoevry, where he did the same.\n\nNow we're building Poth to help every company understand why users behave the way they do.\n\n**Our ask:** If you work in product, growth, customer research, or analytics, we'd love to chat — reach out and connect. Try it at [pothlabs.com](http://pothlabs.com).",
        "url": "https://www.ycombinator.com/launches/R2b-poth-labs-the-ai-native-customer-research-platform",
        "votes": 41,
        "created_at": "2026-06-25T19:41:41.476Z"
      }
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    "id": 31274,
    "name": "Khotan (formerly Pollinate)",
    "slug": "khotan",
    "former_names": [
      "Polinate",
      "Pollinate",
      "Khotan"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b23ce152528185e61986e56941165e5686edcb24.png",
    "website": "https://www.khotan.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Khotan is the platform for forward-deployed engineers to rebuild operations as software and maintain them. It combines your context with the infrastructure harnesses need to deploy, share, and maintain each application.\r\n\r\nAcross procurement, supply chain, finance, and operations, we’ve rebuilt the systems businesses cannot afford to get wrong.\r\n\r\nLearn more at khotan.com",
    "one_liner": "FDE as a platform for rebuilding critical operations in software.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1769216179,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/khotan",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/104852164/admin/dashboard/",
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        "full_name": "Adeep Mitra",
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        "user_id": 2763766,
        "full_name": "Corey Berther",
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        "founder_bio": "Was sent to coding camps at 12 years old, ran an electronics business by 16 and a tech house by 18. \n\nDropped out of a rocket science degree, to reinvent forward deploying. ",
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        "title": "The Brisbane start-up tackling the “tech tax” on food | FaBA",
        "url": "https://faba.au/news/the-brisbane-start-up-tackling-the-tech-tax-on-food/",
        "date": "Mar 18, 2026"
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      {
        "title": "Supply chain solutions startup Pollinate joins Y Combinator",
        "url": "https://www.businessnewsaustralia.com/articles/brisbane-startup-pollinate-joins-y-combinator.html",
        "date": "Jan 19, 2026"
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        "id": 97523,
        "title": "🦋 Pollinate – Agents that automate data entry into your ERP built in days not quarters.",
        "tagline": "We automate supply chain operations by building custom tools from your existing ERP. Deployed in days instead of quarters.",
        "body": "\n**❌ Problem: Supply chain teams waste 40% of their time on manual work that their ERP should handle.**\n\nOff-the-shelf tools force you to change your workflows. Custom development takes 6-12 months. So your operations team ends up running critical processes in spreadsheets - invoice reconciliation, vendor management, just-in-time production scheduling.\n\n**✅ Solution: Pollinate builds the exact tools you need, automatically.**\n\nOur platform connects to your ERP and enriches the data. We then leverage this data to generate custom applications and agents that are bespoke to your workflows. What used to take quarters of dev time now deploys in days.\n\n**How it works:**\n\n1. Connect your existing ERP & data sources.\n2. We automatically map your data structure and identify operational patterns\n3. We ship custom tools for invoice processing, production scheduling, vendor management\n4. Your team works in tools built for _your_ processes, not generic ones\n\nWe're already processing $100k+ in purchasing volume through automated workflows our customers couldn't build themselves.\n\nOur customers use our agents to automate:\n\n1. Order processing from email, text or phone straight into their ERP systems. \n2. Three way invoice reconciliation for suppliers who need to match purchase orders and receipts to thousands of vendor invoices.\n3. Just in time production for hardware teams managing assembly of their product.\n\n![uploaded image](/media/?type=post&id=97523&key=user_uploads/2733270/7dfc551c-169f-4457-b199-3cdeb020549d)\n\n**Why now?** We’ve built point solutions for our customers and saw first hand that supply chains are infinitely unique and always break at scale. As code becomes a commodity we see an opportunity to finally bridge the gap between software and supply chain operations.\n\n**Ask**:\n\nSick of working supply chain operations in spreadsheets? We'd love to show you a demo\n\nKnow hardware companies scaling their supply chains? Intro us at \\[[adeep@pollinate.tech](mailto:adeep@pollinate.tech)\\]\n\n![uploaded image](/media/?type=post&id=97523&key=user_uploads/2733270/0e97a9bd-7877-479a-8a5a-29a210ffa63a)\n\n",
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        "full_name": "Pavan Kalyan",
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        "full_name": "Nirmit Arora",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO @ Ritivel. Prev @ Microsoft Research focused on making agentic systems safe. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nirmitarora",
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        "full_name": "Gunin Gupta",
        "title": "Founder/COO",
        "founder_bio": "Cofounder and CBO @ Ritivel. \nPrev. @ AT Kearney focused on sustainability and energy process industries.\nGraduated with a bachelor's from IIT Bombay.",
        "is_active": true,
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      {
        "id": 97327,
        "title": "Ritivel 💊 AI-native platform for Regulatory Document Submission",
        "tagline": "We help regulatory teams at pharma companies submit FDA documents 12x faster",
        "body": "Hey everyone 👋\n\nWe're Pavan (PK), Gunin and Nirmit – co-founders of Ritivel.\n\n## **TL;DR**\n\nRitivel is an AI-native workspace for regulatory and medical writing teams at life sciences companies. Our AI agents draft CTDs, CSRs, INDs, and BLAs in minutes instead of weeks, helping drugs reach patients faster.\n\n**Ask:** Can you introduce us to regulatory affairs leaders or CISOs at pharma companies? Contact us at [pavan@ritivel.com](mailto:pavan@ritivel.com)\n\n<https://youtu.be/VrqJtPDy_do>\n\n## **❌ The Problem**\n\nEvery month a drug is delayed from reaching the market costs pharma companies \\~$45M in lost revenue and more importantly, delays treatment for thousands of patients who need it.\n\nYet regulatory teams are stuck in a painful, months-long process to create FDA submissions like CTDs, CSRs, INDs, and BLAs:\n\n**1. Information overload** 📚 These submissions require synthesizing thousands of pages of clinical data, prior submissions, and regulatory guidance which is an overwhelming task even for experienced teams.\n\n**2. Document hunting & version chaos** 🔄 Teams waste hours digging through SharePoint folders, juggling multiple document versions, and chasing colleagues for the right files.\n\n**3. Endless follow-ups** 📧 Regulatory leads spend their days sending reminder emails, tracking down missing inputs, and managing status updates across teams.\n\n**4. Manual drafting bottlenecks** ⏳ Even with all the information gathered, the first draft alone takes weeks of painstaking work by highly specialized (and expensive) regulatory writers.\n\n---\n\n## **🔧 Our Solution**\n\nRitivel deploys AI agents that transform how regulatory teams work:\n\n**Draft the most common document types like CTDs, CSRs, INDs, and BLAs in minutes** ✍️ Our agents generate comprehensive first drafts directly in Microsoft Word, following FDA formatting requirements and pulling from your existing clinical data and prior submissions. Every data point includes citations linked back to the original source, so reviewers can verify with one click.\n\n![uploaded image](/media/?type=post&id=97327&key=user_uploads/939300/4d8b39f8-8230-4dcd-b654-c51b595d124e)\n\n**Intelligent document retrieval** 🔗 Connected to SharePoint and Veeva, our agents automatically source the right documents from across your organization: no more digging through folders or chasing down files.\n\n**Automated follow-ups** 📧 Integrated with Outlook, our agents handle reminder emails and follow-ups automatically, so you're not stuck chasing colleagues for missing documents.\n\n![uploaded image](/media/?type=post&id=97327&key=user_uploads/939300/aa5a53c8-8d14-4c11-a20c-fecd59724cae)\n\n**Accelerated project management** 🚀 By automating the document gathering and drafting loop, teams can focus on review and refinement rather than administrative overhead.\n\n\\\n**👬 The Team**\n\nWe're engineers who previously built AI copilots at Microsoft Research. We saw firsthand that we could create better, more specialized copilots for complex workflows.\n\nWe started by selling a generic copilot to process-heavy industries like life sciences to understand their regulatory workflows. After 50+ conversations with pharma professionals, we discovered the critical bottleneck in regulatory submissions and built Ritivel to solve it.\n\n![uploaded image](/media/?type=post&id=97327&key=user_uploads/939300/3447cd20-7180-467d-919f-e6ddb5839d7a)\n\n## **🙏 Our Ask**\n\n* **Know someone in pharma regulatory affairs?** We'd love an intro to regulatory affairs leaders or CISOs at pharma companies → [founders@ritivel.com](mailto:founders@ritivel.com)\n* **Work at a life sciences company?** Try Ritivel and see the difference →[ ](https://www.ritivel.com/)[www.ritivel.com](http://www.ritivel.com)\n\n---\n\n_Your intro could help get life-saving drugs to patients faster. Thank you!_",
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        "votes": 172,
        "created_at": "2026-01-30T17:40:28.395Z"
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    "id": 31278,
    "name": "Zymbly",
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    "all_locations": "London, England, United Kingdom",
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    "stage": "Early",
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    "country": "GB",
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        "user_id": 1985014,
        "full_name": "Ben Jacob",
        "title": "Founder/CEO",
        "founder_bio": "Ben is the co-founder and CEO of Zymbly. Before Zymbly, Ben led Applied AI at Multiverse (backed by GV, General Catalyst, and Index). Ben started his career working with airlines on operational improvement. He worked with one of the world's largest airlines to recover their operations after the pandemic.",
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        "full_name": "Robbie Bourke",
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        "full_name": "Azmat Habibullah",
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        "id": 94540,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/zymbly/jobs/ueWPYCh-forward-deployed-engineer",
        "location": "San Francisco, CA, US / London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.50% - 1.25%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 97433,
        "title": "Zymbly: The Copilot for Aircraft Maintenance",
        "tagline": "Doubling aircraft technician productivity through agents that do the busy work",
        "body": "**Ben, Azmat,** and **Robbie** here; co-founders of **Zymbly (YC W26)**. \n\nZymbly doubles productivity for aircraft technicians with AI. Our agents automate troubleshooting and paperwork. Technicians get to spend their time doing the work they actually signed up for; maintaining planes.\n\n<https://www.youtube.com/watch?v=zlu5IhcfeeA>\n\n**The Problem:**\n\nAirlines have a maintenance capacity bottleneck. It is holding back growth.\n\nIn North America alone, there is a shortage of 43,000 technicians forecast by 2027 (25% shortfall). Boeing estimates 710,000 new technicians are needed in the next 20 years.\n\nTechnicians are their most precious resource. Yet, technicians lose half their day to:\n\n1. **Troubleshooting:** finding the information needed to fix issues and replace parts can take hours as the information is spread across tens of thousands of pages.\n2. **Paperwork:** Any work that is performed needs to be rigorously documented according to pre-defined standards\n\nWe hear _“It takes me 5 mins to change a bulb, but 45 minutes to do the paperwork”_ and similar sentiments every day.\n\n**How Zymbly Solves It:**\n\nZymbly’s voice-first agents surface answers across manuals, local procedures and historical defects. Zymbly surfaces the right solutions and orders the correct parts. It turns voice notes into compliant documentation and audits actions to ensure technicians haven't missed critical steps.\n\n**Who We Serve:**\n\nOur customers are maintenance teams either inside airlines, or working for airlines.\n\nOur users are the technicians who keep your planes safe. They prefer to spend their time working on the aircraft, not on admin.\n\nWe’ve developed our platform through a design partnership with a major global airline.\n\n**About Us:**\n\n![uploaded image](/media/?type=post&id=97433&key=user_uploads/1985014/00193636-6c7c-43d9-af51-fc4641dd1076)\n\nRobbie Bourke was Head of Maintenance at Virgin Atlantic and a lead engineer at Airbus.\n\nBen Jacob worked with airlines to recover their operations post-pandemic and led Applied AI at Multiverse (backed by GV/GC/Index).\n\nAzmat Habibullah combines hacking from age 11 with building enterprise software in regulated industries.\n\n**Our Ask:**\n\nIf you work in aviation maintenance or know someone who does we would love to get connected! \n\n[ben@zymbly.com](mailto:ben@zymbly.com)",
        "url": "https://www.ycombinator.com/launches/PLV-zymbly-the-copilot-for-aircraft-maintenance",
        "votes": 26,
        "created_at": "2026-02-03T03:58:11.565Z"
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    "id": 31279,
    "name": "Regbase",
    "slug": "regbase",
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    "subindustry": "B2B -> Legal",
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        "full_name": "Ethan Shea",
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        "founder_bio": "Founder/CTO at Regbase- Automating Corporate Compliance Worldwide\n\nPreviously I was a staff engineer at Vercel, where I built the observability backend and the first Vercel Agent. Before that I worked at Citadel where my team maintained the firm's master list of everything that can be traded. I grew up in Seattle and went to the University of Washington.",
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        "id": 99803,
        "title": "Regbase: Al-native Legal Research",
        "tagline": "Hundreds of hours of legal research in one click! ",
        "body": "**Regbase helps companies track new laws across the world and at the local level.**\n\nRegbase is an **AI-native research platform** built to help **legal teams, researchers, and government vendors** monitor regulatory changes across countries, languages, and **hard-to-find government sources**.\n\n[https://youtu.be/lY1La0A4iaw](https://youtu.be/lY1La0A4iaw?si=-dCa9ucc4Sq8jvXR)\n\n**The problem:** \n\nCompanies that need to track new laws still rely heavily on **manual research.** Many important updates are posted on obscure local websites, draft bill portals, consultation pages, social media, and other sources that may **never get indexed by Google or picked up by LLMs.** \n\nIf a law is not in English, not covered by the media, or it only applies at the local level, it can be **impossible to find.** \n\n\\\n**The solution:** \n\nRegbase finds these updates automatically, including draft bills, consultations, compliance requirements, and sales opportunities like grants. Then it analyzes them. \n\nSo far we have: \n\n* **Found $400M in expiring school safety grants** across the U.S. for a client selling protective equipment\n* Identified **80** **requirements** for greenhouse gas disclosure **in 45 countries** for a global manufacturer\n* Found **dozens of obscure laws in non-English languages, posted only on LinkedIn, Facebook or X**\n* Uncovered regulations hidden behind QR codes, and even one government website that required visitors to watch an ad! \n\n**Who we are:** \n\n**Natalie Aresta-Katz**, previously led a law firm practice research team at Paul, Weiss, tracking laws across dozens of countries and every state. **Ethan Shea** is a former Staff Engineer at Vercel with expertise building agentic infrastructure. They started the company after years of struggling with manual regulatory updates across jurisdictions and languages.\n\n**The ask:** \n\nWe are eager to help **lawyers and researchers** in all areas, including **employment, AI, climate/sustainability, and private equity.** We also work with **companies in regulated industries,** and state and **local government vendors.**\n\nVisit [regbase.com](http://regbase.com) or email us at [founders@regbase.com](mailto:founders@regbase.com) to book a time.\n\nFollow us:  [https://www.linkedin.com/company/regbase](https://www.linkedin.com/company/regbase/) | <https://x.com/theregbase>",
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    "id": 31280,
    "name": "Rubric AI",
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        "full_name": "Pragya Saboo",
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        "title": "Rubric AI",
        "tagline": "Reasoning and Verification for AI Agents",
        "body": "Hi YC! 👋 \n\nI’m Pragya, co-founder of Rubric AI. \n\n**Tl;dr:**\n\nRubric AI is building the human and computational layer that turns expert judgment into training signals for frontier models and agents. We believe that shaping the world's most consequential AI systems requires both purpose-built training environments and exceptional judgment.\n\n**Launch Video:**\n\n<https://www.youtube.com/watch?v=_9EzHGu5y5E>\n\n**The Problem** \n\nThere are now over 10,000 vertical AI companies deploying in specialized domains. They all face the same problem: generalist models can't reliably handle high-stakes, judgment-heavy work. While AI agents look impressive in demos, they frequently fail at runtime by selecting the wrong tools, failing to verify steps, or lacking the ability to recover from errors. These companies need their agents to reason and execute like domain experts, but the infrastructure to make that happen doesn't exist.\n\n**The Solution** \n\nRubric builds runtime reasoning infrastructure that turns expert judgment into training signals for frontier models and agents. We build purpose-built reasoning environments, curate expert-verified reasoning traces, and plug in at test time to guide agents on how to reason, when they select tools, how they verify intermediate steps, and when they must escalate to a human, turning generalist agents into domain specialists.\n\n**The Team** \n\nOur co-founder Pragya has spent the last decade building complex products from scratch and scaling them. She was a product lead at Oscar Health through their IPO, built computer vision software for operating rooms at Apella, grew a women's health startup to profitability, and drove new product lines at Asana.\n\nOur founding team brings deep domain expertise across healthcare, coding, and finance, along with years of experience building large-scale infrastructure. We've shipped in high-stakes domains and know how to build for the scale this problem demands.\n\n**Ask**\n\n1. If you're deploying AI agents in a specialized domain and need them to reason like experts, we'd love to talk. Reach out at [team@therubric.ai](mailto:team@therubric.ai).\n2. If you're a domain expert in healthcare, finance, life sciences, legal, coding, or other high-stakes fields and want to shape how the next generation of AI systems learn to reason, we'd love to hear from you. Reach out at [team@therubric.ai](mailto:team@therubric.ai).",
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        "full_name": "Jonathan Görtz",
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        "founder_bio": "A universe is the only challenge worthy of mankind.",
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        "linkedin_url": "https://www.linkedin.com/in/jonathangortz/",
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        "full_name": "Carl-Hugo Jacobsson",
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        "is_active": true,
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        "full_name": "Kaan Sirin",
        "title": "Founder/CTO",
        "founder_bio": "chief librarian",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kaan-sirin-b0a6321b6",
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        "id": 98598,
        "title": "Librar Labs: The AI librarian",
        "tagline": "AI library system that increases reading and saves time for library staff",
        "body": "The reading rates have hit an all time low. That’s why Librar Labs built the AI library system that helps library staff save time and increase the library’s impact.\\\n\\\nAI is able to navigate the digital world of literature in ways never seen before. This powerful technology is used to increase the output of the hundreds of schools using Librar, and is being adopted at a pace never seen before in publishing, library and archive tech history.\\\n\\\nThe team of quantum physicists, exited founders and dropouts are backed by founders and operators from OpenAI, Depict, Kahoot, Google Maps and many more to tackle the one of the greatest problems of our time.\\\n\\\nlibrarlabs.com",
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        "votes": 11,
        "created_at": "2026-03-08T21:21:01.199Z"
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        "id": 97314,
        "title": "Librar Labs - AI for librarians",
        "tagline": "Librar takes care of the tedious work, so librarians can focus on building reading culture and community",
        "body": "![uploaded image](/media/?type=post&id=97314&key=user_uploads/1669339/2518baf4-5e9f-4fc4-af61-4cb76bd44e7d)\n\nAnnouncing Librar Labs - AI for librarians\n\nLibrarians spend countless hours on tedious work that they don’t like, but still have to do. Today, Librar is used in nearly 300 schools, helping librarians cut down on inventory, reporting, and acquisitions work so they can do what they are best at and enjoy the most: engaging with the community.\n\nOne of the most liked features is how the librarian with a photo of the shelf, Librar identify the items and can take inventory, analyze circulation or even just set up the library.\n\nOne of the Librar founders used to work as a librarian and saw the day-to-day challenges firsthand. Since managing a library is very challenging, we decided to build Librar to make it easier for everyone.\\\n\\\nIf you are (or know) any librarians or principals reach out to us on [linkedin](https://www.linkedin.com/in/jonathangortz) or mail: [jonathan@librarlabs.com](mailto:jonathan@librarlabs.com)\\\n\\\nGo to our website to find out about all the things Librar can do:\\\n<https://www.librarlabs.com/>",
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        "created_at": "2026-01-30T02:29:16.418Z"
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        "full_name": "Matt Riley",
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        "founder_bio": "Founder or Fixture (w26). Previously a Visiting Partner at YC (w25, s25) and Founder of Swiftype (w12), which was acquired by Elastic (NYSE: ESTC) in Nov 2017. Early engineer at Scribd (s06).",
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        "full_name": "Quin Hoxie",
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    "id": 31292,
    "name": "Aurorin CAD",
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    "long_description": "There are 2 problems:\r\n\r\nThe first, CAD software is slow and the second, designing with it is a tedious process with many steps. Aurorin solves both of these problems by being a CAD software built from the ground up on a modern tech stack with AI at its heart.\r\n\r\nBuilding the CAD kernel lets us fully leverage AI while modernizing execution speed. Almost all existing CAD software (Solidworks, NX, Creo, Catia, Fusion 360, Onshape etc) use the same couple of underlying CAD kernels built in the 80's. It's common for these programs to take 4 hours to open a file.\r\n\r\nAurorin uses a custom parametric and B-Rep driven CAD Kernel built to take full advantage of modern CPUs and GPUs and be AI native.",
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    "team_size": 1,
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Michael Baron",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Aurorin, 3x SpaceX intern, prev Apple Intern.\n\nBefore starting Aurorin, Michael worked on Raptor combustion simulation, Dragon Guidance, Navigation & Control, and Starshield flight software at SpaceX, as well as GPU driver performance at Apple.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-andrew-baron/",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/aurorin-cad/jobs/R3tKam9-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "3.00% - 4.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "id": 98144,
        "title": "Aurorin CAD - The Next Generation Mechanical CAD Software",
        "tagline": "Create in seconds what takes over 20 minutes in SolidWorks or NX",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR**: New native CAD software with crazy fast execution speed and a tightly integrated agent to help engineers design way faster. Download for Mac or Windows at[ ](https://www.aurorincad.com/)<https://www.aurorincad.com>\n\n<https://youtu.be/BkNunCBk_3o>\n\nHey everyone, I’m [@Michael Baron](https://bookface.ycombinator.com/user/2811605), the founder of [@Aurorin CAD](https://bookface.ycombinator.com/company/31292), a new CAD software built from the ground up to fix 2 major problems:\n\n* CAD is really slow\n* CAD is tedious\n\n**No more tedious work**\n\nAurorin can create parts in seconds that takes 20 minutes with Solidworks.\n\nBuilding the CAD kernel from the ground up lets us create a much better AI interface than is possible in a traditional kernel. That is why we have decided to build a new kernel instead of using an existing one or making a plugin for existing software. This approach allows us to seamlessly combine traditional UI editing with a chat interface to design even highly complex parts at incredible speed.\n\n**Speed**\n\nIt’s common for existing software to take 4 hours to open CAD assemblies.\n\nAlmost all existing CAD software (Solidworks, NX, Creo, Catia, Fusion 360, Onshape etc) use the same couple of underlying CAD kernels built in the 80s.\n\nAurorin uses a custom parametric and B-Rep driven CAD Kernel built to take full advantage of modern hardware.\n\n**The team** \n\nBefore starting Aurorin, I worked at SpaceX on Raptor combustion simulation, Dragon guidance, navigation & control, and Starshield flight software. I also worked on GPU driver performance at Apple.\n\n**The Asks**\n\nDo you know a hardware company that wants to ship faster? We’re looking for more companies to use Aurorin for rapid prototyping alongside their existing CAD or make the switch for a much faster hardware development cycle.\n\nAre you a design engineer who’s annoyed with CAD? We’d love to hear your feedback on what we’re building.\n\nI’d really appreciate an email at [michael@aurorincad.com](mailto:michael@aurorincad.com)",
        "url": "https://www.ycombinator.com/launches/PWy-aurorin-cad-the-next-generation-mechanical-cad-software",
        "votes": 39,
        "created_at": "2026-02-24T18:07:44.660Z"
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    "id": 31293,
    "name": "Rainbrand",
    "slug": "rainbrand",
    "former_names": [
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    "website": "https://rainbrand.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rainbrand is the brand layer for agents. It turns a brand’s identity, guidance, and assets into shared context that agents and products can use. That context evolves with the brand, alongside the tools where it is created and managed.\r\n\r\nStarting with websites, social media, and files, Rainbrand develops and maintains versioned brand context. Through MCP or the API, connected agents and products can retrieve and update that context, then apply it to images, websites, slides, video, copy, and other brand work.\r\n\r\nWe’re an ai infra company making brand as operable as software.\r\n",
    "one_liner": "The brand layer for agents.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1776275888,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/rainbrand",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/rainbrand.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rainbrand",
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        "user_id": 2440455,
        "full_name": "Ray Fitzgerald",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Rainbrand - the brand layer for agents.\nRainbrand turns brand into infrastructure that any agent, app, or platform can call.\n\nBefore Rainbrand, I founded Lucid - an AI-native word processor.\nBefore that I worked at Inscribe (S18), where I built agents to prevent financial fraud.\n\nObsessed with product and organic growth.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ray-fitzgerald-86b451148",
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        "id": 113897,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/rainbrand/jobs/8eQxoBN-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$140K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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    "launches": [
      {
        "id": 102368,
        "title": "Bloom – the brand layer for agents",
        "tagline": "Bloom turns brand into infrastructure that any agent, app, or platform can call.",
        "body": "**Bloom — the brand layer for agents**\n\nAI has unlocked an abundance of software. But software is just one input into building a product and running a business - and as it's gotten cheap and fast, new limiting factors have emerged. Brand is one of them. Unlike software, brand isn't operable: it's scattered across decks, products, and tribal knowledge. There’s no _system_ for brand, and nothing can actually _call_ it, and so most of what gets shipped is off-brand by default.\n\nWe think brand is becoming infrastructure: one canonical source of truth that any system can query. Bloom is that brand layer - we’re creating the systems to make brand as wieldable as code.\\\n<https://www.youtube.com/watch?v=CpmsCzswCSY>\n\n**How it works**\n\n1. **Ingest.** Point Bloom at everything that defines your brand: website, decks, Figma, socials, codebases, and more.\n2. **Systemise.** Bloom unifies it into one brand system - a canonical ontology of your brand.\n3. **Deploy anywhere.** Call that system from every surface and generate every asset you need - ads, social, product shots, mockups, and full campaigns.\n\n**Built for agents** \\\nBloom is designed to be used by agents, rather than humans. The primitives (API, MCP, and soon CLI) have excellent _agent ergonomics_ making your brand callable from everywhere:\n\n* **Agents:** marketing agents running campaigns, coding agents creating landing pages, e-commerce agents running brands - all calling Bloom over MCP.\n* **Products:** use our API as the brand layer for any products that require brand context or assets for their customers.\n* **Brand and marketing operations:** agencies and marketing teams call Bloom to automate on-brand asset creation inside their existing stack.\n* **Claude:** use the Claude connector to create on-brand assets with all of your existing context.\n\n**Traction** - We launched v1 in December and went [viral](https://x.com/rincidium/status/1995946528343818656?s=20). Since then we’ve generated over 175,000 on-brand assets for our customers.\n\n![uploaded image](/media/?type=post&id=102368&key=user_uploads/2440455/ad3ce037-7d78-4314-984d-80ca741181e8)\n\n**Our ask**\n\nWe'd love to hear from:\n\n* **Agents and product builders** who leverage brand context or need to produce on-brand assets.\n* **Brands and agencies** running marketing at scale\n\nReach out: [ray@trybloom.ai](mailto:ray@trybloom.ai)\n\nTry it: [trybloom.ai](http://trybloom.ai)\n\n![uploaded image](/media/?type=post&id=102368&key=user_uploads/2440455/f3b57cca-b17f-437a-8590-7ffe691124be)\n\n",
        "url": "https://www.ycombinator.com/launches/Qd6-bloom-the-brand-layer-for-agents",
        "votes": 55,
        "created_at": "2026-06-01T14:23:38.273Z"
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    "id": 31295,
    "name": "Carrot Labs",
    "slug": "carrot-labs",
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    "website": "https://superpenguin.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The problem: \r\nAI has quietly become one of the largest and fastest-growing line items for companies. Spend is scattered across a dozen provider consoles that each show one number at the end of the month and nothing about why it moved. There's no unified view, and no way to trace a dollar back to the customer, feature, team, or even the pull request that caused it.\r\n\r\nWhich customers are unprofitable once you subtract their AI costs? Which feature is quietly burning your Anthropic budget? Is this week's spike a runaway loop or real growth? How much did that AI-written PR actually cost to ship?\r\nToday teams reverse-engineer answers by exporting CSVs from each provider and stitching them together in a spreadsheet, and by the time they do, the money is already spent.\r\n\r\nWhat SuperPenguin does: SuperPenguin tracks AI spend across 14 providers (OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, AWS Bedrock, Azure, Modal, Cursor, OpenRouter, and more).\r\n\r\n* Zero-code setup: connect an API key and costs sync automatically with model-level breakdowns, trends, and forecasts\r\n* Per-request attribution: add two lines with our Python or TypeScript SDK to tag every AI call by customer, feature, team, or environment (or any other metadata).\r\n* AI coding cost per PR: connect Cursor to see engineering spend attributed to each pull request, repo, and developer, so you know what it actually costs to ship.\r\n* Alerts on budget thresholds and spend anomalies, delivered to Slack, email, or Discord.\r\n\r\nMost teams are set up in under five minutes. We help companies see where their AI money goes and whether it's worth it.",
    "one_liner": "AI Cost Management: Track and attribute AI spend across every provider",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1772517831,
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/carrot-labs",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/carrot-labs-ai/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "user_id": 3198622,
        "full_name": "Christopher Acker",
        "title": "Founder/CEO",
        "founder_bio": "Carrot Labs Founder. \n\nBuilding the continuous learning platform for AI Agents\n\nhttps://carrotlabs.cal.com/chris/20-min-meeting",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christopher-acker-4711a3177/",
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      {
        "user_id": 3309323,
        "full_name": "Yuta Baba",
        "title": "Founder",
        "founder_bio": "Co-Founder of Carrot Labs.\n\nPreviously Senior Data Scientist at Snowflake, where I was in charge of ML account-based bookings forecasts that shaped financial planning as the company scaled from $250M pre-IPO to $3.6B in revenue.",
        "is_active": true,
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      {
        "id": 98534,
        "title": "Carrot Labs: Custom models tuned to your tasks that never stop improving",
        "tagline": "Your model is your moat. Stop renting your intelligence and start growing it.",
        "body": "**TL;DR:** Carrot Labs helps you build models for your agents that are faster and better, forever. Use our platform to build proprietary models using open source that progressively improve.\n\n[**Our Launch Video**](https://youtu.be/Qiw-HG14AVE)\n\n## **The Problems:**\n\nFrontier models from Anthropic, OpenAI and Google are constantly pushing the boundary of intelligence further, but great quality comes with high latency and cost. Smaller models are fast, but can't get the job done right.\n\nSo you start modifying system prompts. It takes you far enough, but at some point you hit a ceiling. And every time a new model comes out, your prompts don't work the same way anymore! (just February 2026 alone, Opus 4.6 and Sonnet 4.6 from Anthropic, Gemini 3.1 Pro from Google, GPT-5.3-Codex from Open AI, Qwen 3.5 from Alibaba came out to name a few.)\n\n## **Solution:**\n\nWe build you a proprietary model tuned to your tasks so you always have access to the most performant model for your agent.\n\nOur platform records your agent’s activity and tunes an optimized model from an open source base model. Once it's ready, swap out the frontier model for yours. That's it. As new production data flows in, we continuously evaluate and retrain your model to boost performance. What you get is a model specialized to your tasks that outperforms frontier.\n\n## **Why this matters to your startup:**\n\nIn the short run, you need your agent to be faster and more accurate, and prompt tuning will only get you so far. We are the fastest way to get there.\n\nIn the long run, every company building agents is using the same frontier models. Your competitor has the same intelligence you do. The thing that differentiates you is the knowledge you distill into your own model. Your model is your moat.\n\n## **Team:**\n\nChris led AI at Skylo Technologies, the world's largest commercial direct-to-device satellite network that provides satellite communications services to Google, Samsung, and Garmin devices.\n\nYuta was a senior data scientist at Snowflake where he developed financial forecasts through ML that supported the company's hypergrowth from pre-IPO to billions in revenue.\n\n## **How you can help:**\n\nIf you are building agents or know anyone building agents who would appreciate a model that outperforms frontier on their tasks, let us know at [contact@carrotlabs.ai](mailto:contact@carrotlabs.ai).\n\nOur self-serve agent eval SDKs are available. Feel free to use it! You can sign up from here: <https://platform.carrotlabs.ai/login>.",
        "url": "https://www.ycombinator.com/launches/PdG-carrot-labs-custom-models-tuned-to-your-tasks-that-never-stop-improving",
        "votes": 22,
        "created_at": "2026-03-06T10:07:11.227Z"
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    "website": "https://wayco.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Wayco is building a unified data intelligence layer for medical treatment of legal cases. From the first intake to instant settlement.",
    "one_liner": "AI operator for medlegal cases",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1770576314,
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    "url": "https://www.ycombinator.com/companies/wayco",
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    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
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        "full_name": "Iqbol Temirkhojaev",
        "title": "Founder/CEO",
        "founder_bio": "I had my first VC-backed startup at the age of 13. I had my first exit (acquisition) when I was 14 - to the United Nations. Got a software patent when I was 15. \n\nI started competitive coding since 11 (yes, it was 2017!) - becoming 3x Olympiad gold medalist. And ultimately retired my mom at the age of 18.",
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    "all_locations": "San Francisco, CA, USA",
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        "full_name": "Braiden Dishman",
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        "title": "Shofo - The World's Largest Video Library",
        "tagline": "Shofo is building the largest index of videos",
        "body": "### **TL;DR**\n\nShofo is building the largest index of videos.\n\n<https://youtu.be/C0c3Q3MsRUg>\n\n### **❌ The Problem**\n\nAI labs require massive, high-quality video data to train multimodal models, but clean, custom video datasets cost millions and take months to collect.\n\n### **✅ Our Solution**\n\nWe're building the world's largest library of videos by combining public videos collected from the open web and private videos aggregated from thousands of different sources. Both feed into a single, continuously updating index of billions of videos that we clean, search, and label to build custom datasets for AI teams.\n\nFor example, if a lab needs 100K hours of cooking videos featuring hand-object interactions with no scene changes, we query our index, extract the matching subset, and deliver a clean, structured dataset in days.\n\n### **🙏 Our Ask**\n\nIf you or anyone you know is working with computer vision, we'd love to chat. Reach out at [founders@shofo.ai](mailto:founders@shofo.ai) or fill out this form [here](https://www.shofo.ai/contact).\n\n### 📖 **Our Story**\n\nOur team met while building a previous startup called Correkt. Correkt was an AI search engine focused on multimodal content and reached over 40k users before pivoting to become Shofo.\n\n![uploaded image](/media/?type=post&id=97200&key=user_uploads/2355557/635c1bd9-0c05-4fcb-be47-39f092eec605)\n\n_From left to right: Braiden (COO), Alex (CTO), Bryan (CEO), and Andre (Head of AI)_\n\n### **😼 Appendix**\n\nWebsite: [https://www.shofo.ai](https://www.shofo.ai/)\n\nHugging Face: <https://huggingface.co/Shofo>\n\nLinkedin: <https://www.linkedin.com/company/shofoai>\n\nX: <https://x.com/shofoai>",
        "url": "https://www.ycombinator.com/launches/PHk-shofo-the-world-s-largest-video-library",
        "votes": 45,
        "created_at": "2026-01-27T01:15:35.213Z"
      }
    ]
  },
  {
    "id": 31301,
    "name": "OpenVector",
    "slug": "openvector",
    "former_names": [
      "TeleOps",
      "BotZero",
      "Foveal"
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    "website": "https://openvector.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "OpenVector transforms any existing camera into an automated 24/7 workforce without requiring new hardware. We've built the world's fastest vision-language model inference engine that allows users to simply describe a task in plain English and automatically build a custom AI vision model to monitor their feed. When it detects an important physical event—like a stalled production cycle, a safety violation, or a waiting customer—it operates a computer just like a human to take immediate action. It integrates with legacy systems, makes calls, sends emails, updates a POS/CRM, or triggers webhooks in real time. OpenVector enables any camera to do real work.",
    "one_liner": "AI that turns any camera to an autonomous worker with real-time vision",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1785369468,
    "tags": [
      "Robotics",
      "Computer Vision",
      "Infrastructure",
      "Industrial"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/openvector",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/openvector.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linked.com/in/openvectorlabs",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
      {
        "user_id": 633157,
        "full_name": "Andrey Gizdov",
        "title": "Founder/CEO",
        "founder_bio": "Dropped out of PhD. Computer Vision @ Harvard.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andreygizdov/",
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      {
        "user_id": 2384953,
        "full_name": "Vishal Urlam",
        "title": "Founder",
        "founder_bio": "CMU'23, ECE'20 | MIT GrandHack '25 | Kellogg Design Challenge '23",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vishal-urlam/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/398802b070ebc9a50a9873e3441541de12ccedfb.jpg"
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    "launches": [
      {
        "id": 108360,
        "title": "OpenVector - Self-improving AI that turns any camera into an autonomous worker.",
        "tagline": "Most cameras just record. We give them the ability to do real work.",
        "body": "**TLDR;** OpenVector turns existing cameras into an automated 24/7 workforce. Describe a task in plain English, and it auto-builds a custom vision model that takes real-time actions on a computer when it spots an event.\n\n**Ask;** If you or someone you know runs physical operations (manufacturing, logistics, retail, security) and wants to automate visual tasks without buying new hardware, we’d love to connect!\n\n**Our Launch Video:**\n\n<https://www.youtube.com/watch?v=36OaIJ4FPZ8>\n\n**Our Team:**\n\nOpenVector was founded by a team of builders and engineers obsessed with bringing self-improving visual intelligence to the physical world.\n\n* [Andrey Gizdov](https://www.linkedin.com/in/andreygizdov/), CEO, dropped a fully-funded **PhD** scholarship from Fulbright, worth **$170,000**, with invitations at **Harvard and MIT**, where he worked on real-time vision models.\n* [Vishal Urlam](https://www.linkedin.com/in/vishal-urlam/), CTO, previously automated camera systems and network protocols for Tata, the **second-largest network infrastructure in the world**. CMU embedded systems engineer.\n\n**Problem**:\n\nMany important business moments happen in the physical world: Someone tailgates. A production cycle stalls. A worker skips a step in the manufacturing process. A customer arrives, and no one responds. There are over 1 billion cameras worldwide, but they only record it for later. For physical operations, the best technology available to catch these events in real-time has been a human staring at a monitor.\n\n**Solution:**\n\nOpenVector is an AI that brings action to any camera.\n\n* **Plain English to AI Model:** No coding or expensive setup. Simply describe your task in plain English, and OpenVector automatically builds the best AI vision model for it, and watches your camera feeds 24/7. It’s an app that takes 2 minutes to download and set up, and works with any camera.\n* **Acts Like a Human:** OpenVector operates a computer just like a human based on what it sees.\n* **Legacy Integration:** It automatically integrates with your existing systems to make a call, send an email, update your POS or CRM, or trigger a webhook the second an event happens.\n* **Zero New Hardware:** Works entirely with the cameras you already have installed (custom end-to-end solutions also available).\n\n**We’ve Already Started:**\n\nOpenVector is already live and seeing use cases across security, retail, manufacturing, and logistics. We are tracking production cycle efficiency directly from existing CCTV, ensuring good-manufacturing-practices, and catching physical design errors.\n\n**Now Onboarding:**\n\nOpenVector is ready to deploy on your camera feeds today. Contact us if you’re tired of cameras that only watch and want them to actually do work for you. [founders@openvector.com](mailto:founders@openvector.com)\n\n![uploaded image](/media/?type=post&id=108360&key=user_uploads/633157/46faabca-90e0-4c69-a364-138588d733d5)\n\n",
        "url": "https://www.ycombinator.com/launches/SBk-openvector-self-improving-ai-that-turns-any-camera-into-an-autonomous-worker",
        "votes": 16,
        "created_at": "2026-07-31T18:00:43.590Z"
      }
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  },
  {
    "id": 31304,
    "name": "Litmus",
    "slug": "litmus-hiring",
    "former_names": [
      "Avert",
      "Litmus",
      "Avert"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a9f14022a002a449869ff376c950e1a9966d580.png",
    "website": "https://litmushiring.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Litmus is building the most accurate framework for evaluating and benchmarking human capability, starting with software.\r\n\r\nAI will compound small differences in human capability into increasingly large differences in what people can accomplish, while making existing static benchmarks obsolete. Software is already there: AI can hill-climb any output-based evaluation, while the ability to direct it is becoming the defining advantage. \r\n\r\nLitmus applies the same approach we already use for model evals to humans – creating world-like environments, and inspecting trajectory instead of just output.\r\n\r\nEvery knowledge industry will soon face the same problem. We build Litmus to tell you what humans are capable of.\r\n\r\nWe're already helping build frontier technical teams at Mercor, Composio, Neo Scholars, and more.",
    "one_liner": "Evals for humans",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1783537104,
    "tags": [
      "Recruiting",
      "Data Engineering",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/litmus-hiring",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/litmus-hiring.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/litmushiring",
    "x_url": "https://x.com/UseLitmus",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1353649,
        "full_name": "Shaivi Rau",
        "title": "Founder/CEO",
        "founder_bio": "building litmus",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shaivi-rau",
        "x_url": "https://x.com/ShaiviRau",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5482bbda470c38ccb104e539a75d967d59855d2.jpg"
      },
      {
        "user_id": 2315600,
        "full_name": "Elena Zhao",
        "title": "Founder/CTO",
        "founder_bio": "Evals for humans",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/elena-zhao-015353217/",
        "x_url": "https://x.com/ElenaxZhao",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/181a9fd30489864e7baeee3f884bda9fe2c72cf1.jpg"
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    "jobs": [],
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    "launches": [
      {
        "id": 105006,
        "title": "Litmus - The industry's most accurate engineering interview",
        "tagline": "Scalable, async work trials built from your repos, tickets, and JDs",
        "body": "**TL;DR:** We evaluate candidates through async technical assessments built from your own context (repos, tickets, and job descriptions) and let them work in their own setup with all their tools while we track and evaluate their process and output. _Engineering is changing; we help you hire for the role it’s becoming. Learn more at [litmushiring.com](http://litmushiring.com)._\n\n<https://www.youtube.com/watch?v=lusUktcmZGA>\n\n**The problem**\\\nYou're a month in with a new hire and they're just not getting it: struggling to ship independently, shipping AI-generated code they can't explain, clueless when production breaks. None of this showed up in your interview because your interview was never designed to catch it.\n\nWe all already agree LeetCode sucks. But work trials are time-draining, unscalable, and kind of awkward when you know within the first hour someone's not gonna make it. So most teams are stuck choosing between a broken screen and a process that doesn't scale.\n\n**What we built**\\\nLitmus fixes both. We turn your repos, tickets, and job descriptions into a full interview pipeline where every assessment is generated from scratch for your company. Not a generic template, your actual codebase, your real engineering problems, scoped as end-to-end features.\n\nCandidates work in their own setup, with all their tools including AI because that's how engineering works now, and that's what you're hiring for. \n\nEvery submission runs in a sandbox, so graders evaluate real code execution, not what looks good on paper, and grading is tuned to your company across tool fluency, process, and outcome. \n\nThe result: a real read on how someone actually builds, not just how they interview.\n\n1. **Generate Tailored Assessments**\n\n   ![uploaded image](/media/?type=post&id=105006&key=user_uploads/1353649/15424c0c-1ed2-4c6d-ac82-98ec2d81f8f1)\n\n2. **Candidates take Assessments**\n\n   ![uploaded image](/media/?type=post&id=105006&key=user_uploads/1353649/af3edf38-52ab-4a83-a5c5-caeb40c8a532)\n\n3. **Evaluate at Scale**\n\n   ![uploaded image](/media/?type=post&id=105006&key=user_uploads/1353649/8b8a71a8-44c3-408d-ba04-80cde5f997bf)\n\n4. **Deep Dive into Top Candidates**\n\n   ![uploaded image](/media/?type=post&id=105006&key=user_uploads/1353649/696687d6-40b7-4c13-ac4b-05d60d6f54df)\n\n\n**Traction**\\\n**3,000+ assessments evaluated**. **$60k ARR**, growing fast. We've built the hiring system for **Neo Scholars**, their portfolio, and others. Let us bring our expertise to your team.\n\n**Who we are**\\\nWe're Shaivi and Elena. As a SWE at Two Sigma and Meta, Elena watched people ace every interview and then fail to build anything real on the job. Shaivi worked at early-stage startups and in VC, sitting beside founders as they agonized over which engineers to trust with the product. Two sides of the same coin - the most important decision a company makes is its team, and current interviews still can't tell you who'll deliver. Litmus does.\n\n**Our ask**\\\n**Scaling your eng team?** **We'll come to your office, set you up, and run Litmus on your next role. Book a demo at [litmushiring.com](http://litmushiring.com).** And if you know a team drowning in engineering interviews, send them our way.",
        "url": "https://www.ycombinator.com/launches/RJe-litmus-the-industry-s-most-accurate-engineering-interview",
        "votes": 5,
        "created_at": "2026-07-09T15:01:22.190Z"
      }
    ]
  },
  {
    "id": 31306,
    "name": "Martini",
    "slug": "martini",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c61a438eef6d3a1fe29d67dd180ddaaac257b9d.png",
    "website": "https://martini.film",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Martini is a collaborative, AI-native platform for professional filmmaking in the era of generative media.\r\nBy integrating the best generative models into professional workflows, we enable world-class creatives to harness generative AI as a legitimate medium for film.",
    "one_liner": "AI Video Production for Professionals",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1768440972,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/martini",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/martini.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/martini-film/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 2701033,
        "full_name": "Koh Terai",
        "title": "Founder/CEO",
        "founder_bio": "Cannes-screened cinematographer. Stanford Design. CS background.\n\nBuilding professional filmmaking tools for the generative era of film.\n\nwww.kohterai.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kohterai/",
        "x_url": "https://x.com/koh_terai",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea60b4986e5230db97a4fc79168553b3bdb662ef.jpg"
      },
      {
        "user_id": 3120681,
        "full_name": "Long Hoang",
        "title": "Founder/CTO",
        "founder_bio": "Turns Martinis into Films.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/longh/",
        "x_url": "https://x.com/beertocode",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40688ee2ac0332a852379ed14c725913d4ade66a.jpg"
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    ],
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    "launches": [
      {
        "id": 97320,
        "title": "Martini: AI Video Production for Professionals",
        "tagline": "Your Film Set for AI Videos",
        "body": "**TLDR:** _Martini is a collaborative, professional workspace for creating high-quality AI videos. It’s a film set for AI video production._\n\n<https://youtu.be/E4-astm3zyI>\n\n# **🍸 Introduction**\n\nWe’re [Koh](https://www.linkedin.com/in/kohterai/) and [Long](https://www.linkedin.com/in/longh/) from Martini.\n\nGenerative AI video still feels like the wild west.\n\nBrave members of the creative community are embracing this new medium.\\\n\\\nBut making a great AI video still feels like fighting the tool rather than using it. Most AI tools are built around prompting and seeds—not the way filmmakers actually think.\n\nKoh is a [professional cinematographer](https://www.quinzaine-cineastes.fr/en/film/grand-bouquet). He knows filmmakers live and breathe on film sets – a space for intentionality, collaboration, and control. Not endless prompts. So we built Martini to give filmmakers an environment to direct and shoot their generative AI films.\n\nWe shared Martini with a few filmmaker friends. Then more. Today over [200 films](https://www.madewithmartini.com/) have been made with Martini. They’ve aired as TV Commercials, been displayed as artwork, and have gone viral online.\n\n![uploaded image](/media/?type=post&id=97320&key=user_uploads/2701033/3a701a0c-9b24-4e63-bdf0-96cac0be92bf)\n\nOur users are filmmakers, artists, serious production teams, and anyone daring enough to take on the challenge of creating AI video.\n\n---\n\n---\n\n# **🍸 Martini is the go-to platform for AI video production**\n\n**Professional Control**\\\nGet the exact shot you want, not just the one the model hands you. Step into virtual worlds and compose shots using camera position, lenses, and movement — not just prompts and frames.\n\n![uploaded image](/media/?type=post&id=97320&key=user_uploads/2701033/41b4eb79-44ac-41fc-948f-dcde5b23ad60)\n\n_Step into any image or video to reframe and reshoot_\n\n**Streamlined Production Pipeline**\\\nTeams are forced to MacGyver their workflows across a mess of tools. Martini brings image, video, and world models directly into the editing process.\n\n![uploaded image](/media/?type=post&id=97320&key=user_uploads/2701033/3791bdb8-2631-4b1e-8ecf-e0165913cf3f)\n\n_Built in timeline for creating rough assemblies, exportable as XML_\n\n**Production as a Team Sport**\\\nVideo production is collaborative. Different professionals bring different expertise. Martini supports real-time collaboration—sharing prompts, edits, and feedback—so teams can explore ideas together the way they do in tools like **Figma, but for generative film**.\n\n![uploaded image](/media/?type=post&id=97320&key=user_uploads/2701033/f2e831c6-9f6a-4336-9df0-2b6799d6210a)\n\n# Interested?\n\nIf you’re a filmmaker, studio, or creative agency taking AI video seriously, book a demo session with us.\\\n\\\n👉 [**\\[ Book Demo Session \\]**](https://form.typeform.com/to/VVwyeUrj) 👈",
        "url": "https://www.ycombinator.com/launches/PJg-martini-ai-video-production-for-professionals",
        "votes": 23,
        "created_at": "2026-01-30T05:50:02.004Z"
      }
    ]
  },
  {
    "id": 31307,
    "name": "Wideframe",
    "slug": "wideframe",
    "former_names": [
      "Supaframe",
      "Creative Agent Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/18022eca0289ec27600e4e7461ba17298b397ffa.png",
    "website": "https://wideframe.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Wideframe is an AI coworker for video editors. It automates the searching, labeling, organizing, and sequencing of footage so editors can ship videos faster.\r\n\r\nWhy is this important? Well, it turns out that editors spend 3x more time preparing footage than actually editing.\r\n\r\nOne agency said we will save their editors 10 hours per week. Another organized an entire documentary worth of footage in hours rather than weeks. He had 2,500+ videos, 500+ audio clips, across >2.5 TB of files and our agent handled them effortlessly.\r\n\r\nUsers link footage to Wideframe and then our Agent acts like an Assistant Editor to handle work like searching, labeling, organizing, and sequencing footage. Wideframe works with footage across local filesystems and cloud providers. We also supports Adobe Premiere Pro (.prproj) roundtrip. Our robust integrations are important so that Wideframe can work with source footage all the way through to delivering Premiere Pro projects to editors.",
    "one_liner": "AI coworker for video editors to ship more video faster",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1771307851,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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        "id": 97978,
        "title": "Wideframe - AI agent for video work outside the NLE",
        "tagline": "Do hours of video work in minutes.",
        "body": "Hey everyone 👋\n\nWe’re [Daniel](https://www.linkedin.com/in/danielvpearson/) and [Zack](https://www.linkedin.com/in/heyzk/), the co-founders of [Wideframe](http://try.wideframe.com?source=yc).\n\n**TL;DR**\n\n**Wideframe is an AI agent that speeds up the 75% of video work that happens outside the Non-Linear Editor. It helps teams save time and do more with their videos.**\n\nUsers link their video libraries to Wideframe and then work with our context-aware agent to tackle search, editing, and generative tasks. Our high-performance desktop app works across the filesystem and can even natively handle Adobe Premiere Pro (.prproj) files in and out.\n\n**User Testimonials**\n\n_“Wideframe will save each of our editors 2 hours per day. They will have more time to focus on the quality of their work and doing more without the stress.”_\n\n* Matthew Gattozzi, Founder at Goodo Studios\n\n“OH MY GOD YOU ARE A FREAKING GENIUS”\n\n* A user after Wideframe automatically watched, renamed and organized 24 videos in 3 minutes\n\n**Ask**\n\n**Try Wideframe free for 7 days: [try.wideframe.com](https://try.wideframe.com)**\n\n**Interested in custom video agents? Reach out: [daniel@wideframe.com](mailto:daniel@wideframe.com).** We’ve built custom workflows for clients already and are excited to build more! \n\n<https://www.youtube.com/watch?v=Z9ws9Mj4XZQ>\n\n**Our Story**\n\nZack has been an engineering leader for 20+ years. Daniel managed $1B+ in ads for tech companies. We are ex-coworkers and have been close friends for 15 years.\n\n![uploaded image](/media/?type=post&id=97978&key=user_uploads/3180583/d458cf74-8cd2-47ed-9fd3-ae6bf10358d6)\n\n**Making pasta in Rome between Claude Code sessions.**\n\nThroughout 2025, we developed an ever-increasing obsession with coding agents. \n\nBy late 2025, we committed to bringing the power of coding agents to Daniel’s growth world in the form of agentic video editing. Our original YC pitch was “Claude Code for Video Editing”. \n\nIn our first 75 days since launch, we’ve onboarded more than 50 brands and agencies. Many of them make tens or hundreds of videos per week for ads or organic social. What we discovered while building for them: **75% of their video work happens outside of the NLE.**\n\nOur clients prefer to finish their videos in Adobe Premiere Pro or DaVinci Resolve. They don’t want an “agentic NLE”. And they don’t spend a lot of time using the NLE in the first place. \n\nThey spend 4-5x more time each week doing research, writing briefs, searching for videos, scrubbing _within_ videos, organizing sequences of a-roll and b-roll, producing rough drafts, getting feedback from their team and/or clients, and now generating content to augment their footage as well.\n\nWe’re delivering real value within these workflows and our ambition is to become the default workspace where people and agents can collaborate to get the most out of their video.\n\n**How Wideframe Works**\n\n**Wideframe is an AI agent that speeds up the 75% of video work that happens outside the Non-Linear Editor. It helps teams save time and do more with their videos.**\n\nUsers link their video libraries to Wideframe and then work with our context-aware agent to tackle search, editing, and generative tasks. Our high-performance app lives on the machine and works seamlessly across the filesystem and can even natively handle Adobe Premiere Pro (.prproj) files in and out.\n\nWideframe is a coding style agent that lives on your machine with built-in tools and skills for frame-accurate video understanding, agentic search, sequencing, storytelling, research, and context-aware image, video, and audio generation.\n\n**Try Wideframe free for 7 days: [try.wideframe.com](https://try.wideframe.com)**\n\n**Interested in custom video agents? Reach out: [daniel@wideframe.com](mailto:daniel@wideframe.com).** We’ve built custom workflows for clients already and are excited to build more! ",
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    "long_description": "Hey YC! We're Devi and Jianna - the founders of Cardinal.\r\n\r\nHey guys! We’re launching Cardinal publicly today - co’s like Mintlify, Deepgram, Giga, etc. use us to build revenue agents & design how they sell. \r\n\r\nThe Problem\r\n\r\n“Spray and Pray” outbound is dead. The best teams at outbound do it with extreme precision. Finding things in common with your customers, staying in touch with them through their content, mapping inbound from signups and ads, tracking website visitors, monitoring various signals, etc. This sounds great in theory, but in reality involves stringing together 10+ tools and hiring a GTM engineer.\r\n\r\nThat’s where Cardinal comes in.\r\n\r\nCardinal is an AI platform for precision outbound. Our agents can create workflows that normally require the work of fulltime GTM engineers.\r\n\r\nIf you're a founder or sales leader looking to bring AI into your sales org, would love to chat!",
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        "full_name": "Devi Jha",
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        "id": 97888,
        "title": "Cardinal: AI Platform for Precision Outbound",
        "tagline": "Powering outbound for 40+ YC companies",
        "body": "**Hey YC! We're Devi and Jianna - the founders of Cardinal.**\n\n**TL;DR:** Cardinal is the AI platform for precision outbound. We run outbound for 40+ YC companies, like Mintlify, Greptile, and Luminai.\n\n**The Problem**\n\n“Spray and Pray” outbound is dead. The best teams at outbound do it with extreme precision. Finding things in common with your customers, staying in touch with them through their content, mapping inbound from signups and ads, tracking website visitors, monitoring various signals, etc. This sounds great in theory, but in reality involves stringing together 10+ tools and hiring a GTM engineer. \n\nThat’s where Cardinal comes in. \n\n**What can you do with Cardinal**\n\nCardinal is an AI platform for precision outbound. Our agents can create workflows that normally require the work of fulltime GTM engineers. \n\n**🔍 Find the perfect leads:** Whether you need to map your entire TAM, enrich folks going to a conference, invite leads to a dinner you’re hosting, etc. Cardinal finds the most precise leads for you to reach out to.\n\n📡 **Monitor content from your customers:**  Our agents continuously track what your prospects are posting, sharing, and engaging with on social media, so you can stay up to date on what they are doing. \n\n✂️ **Snippets that write themselves** Cardinal generates hyper-specific snippets based on things you and your team have in common with your customers. \n\n⚙️ **Build full workflows** Design end-to-end outbound workflows across email and linkedin. \n\n📥 **Capture inbound too** Set up website visitors, product signups, social media likes and comments, Ad impressions, etc. → qualify it and add them to your sequences.\n\n**The Team**\n\nWe’re Devi and Jianna - we are 2x YC founders (S23, W26). Our last company, Leafpress, was an energy software company - we closed folks like Lindt, Honeywell, etc. from cold outbound. We’re Harvard and MIT CS alums. \n\n**Our Asks**\n\n**If you are a sales leader wanting to add agents to your workflow and finally build a strong outbound engine, please talk with us - we’d love to help.**\n\n -Devi and Jianna",
        "url": "https://www.ycombinator.com/launches/PSq-cardinal-ai-platform-for-precision-outbound",
        "votes": 26,
        "created_at": "2026-02-17T14:58:20.516Z"
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        "id": 93012,
        "title": "Cardinal: The Most Accurate Document Intelligence API",
        "tagline": "Cardinal turns unstructured, messy documents into perfectly structured data, instantly and with unmatched accuracy.",
        "body": "**Hey everyone – Devi and Jianna here** 👋🏼\n\nWe met while studying at MIT and Harvard, and our last company processed utility data at scale. The biggest bottleneck? OCR. It was terrible - especially for complex documents where preserving structure was critical. After years of wrestling with these OCR limitations, we decided to build something better. That became Cardinal.\n\n📃 **The Problem**\n\n Most enterprise knowledge is trapped in PDFs and other unstructured formats -  medical forms, contracts, invoices, insurance claims, financial statements, packing slips, etc. \n\nOCR is _not_ a solved problem:\n\n* LLMs hallucinate and can fabricate data\n* Annotations, checkmarks, and handwritten notes get ignored\n* Tables, charts, and images are dropped entirely\n* Layouts are mangled, breaking document structure and making the output unusable for code, retrieval, or downstream automation. Preserving the semantic meaning of the document is nearly impossible.\n\n\\\n🚀 **Our Solution**\n\nCardinal has 2 finetuned models. The first model, _Document-to-Markdown_, accurately converts even complex documents into clean, structured Markdown. The second model, _Markdown-to-Code_, then turns that Markdown into ready-to-use HTML, preserving the original formatting and hierarchy exactly.\n\nPut simply, we can help you:\n\n* Reliably extract structured data from the most complex PDFs\n* Preserve exact layouts for retrieval, search, and downstream LLM workflows\n* Convert charts into data, summarize images, and parse complex tables\n* Run natural language extractions for any field without brittle regex or templates\n\nFull Demo video: [https://youtu.be/RouYM1cKGXI](https://youtu.be/RouYM1cKGXI?feature=shared)\n\n🔗 **Demo** \\\nTry it [here](https://dashboard.trycardinal.ai/) - we’d love your feedback!\n\n🙏🏼 **Our Ask**\n\n**If you or your team works in enterprise and deals with complex document workflows, we’d love to chat.**\n\n**📅 Here’s our [Calendly](https://calendly.com/leafpress/demo-chat): Book time here or email us at [team@trycardinal.ai](mailto:team@trycardinal.ai).**",
        "url": "https://www.ycombinator.com/launches/OCC-cardinal-the-most-accurate-document-intelligence-api",
        "votes": 14,
        "created_at": "2025-08-18T15:00:27.914Z"
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        "id": 73013,
        "title": "🍁 AI Copilot for Energy Data",
        "tagline": "We process & manage energy data with AI",
        "body": "**🏭 The Problem**\\\nThe modern energy grid is broken. AI and other energy-intensive industries are driving unprecedented demand, and businesses are left struggling to manage and optimize their energy usage. Tens of thousands of companies rely on energy as a top budget item—whether for managing consumption, paying bills on time, avoiding overpayments, or planning retrofits. But current solutions are fragmented, manual, and inefficient. Companies lack a true copilot for managing their energy data.\n\n**💡 Our Solution**\\\nLeafpress is building the first AI Energy Intelligence Platform—a seamless solution to centralize, analyze, and act on mission-critical energy data. Here’s what sets us apart:\n\n* Centralized Data Management:\\\n  Users can onboard their data in seconds. Our integrations with utility providers and custom upload portals bring together siloed data across thousands of properties or facilities, providing a single source of truth.\n* AI-Powered Analytics:\\\n  Traditional energy management systems fail to provide actionable insights. Leafpress leverages OCR and AI to deliver accurate, real-time analytics. Businesses can instantly understand costs, usage trends, and savings opportunities across their portfolio.\n* Automated Actions:\\\n  Leafpress doesn’t just analyze data; it acts on it. From avoiding billing errors to optimizing energy spend and forecasting needs, our platform saves businesses countless hours while reducing costs.\n\nWith our solution, businesses can stop firefighting and start managing energy like the strategic asset it is.\n\n**Who Are We?**\\\nWe’re Devi and Jianna.\n\n* **Devi** is a Harvard CS alum with deep expertise in energy systems, having worked on the energy teams at P&G & Spotify before Leafpress.\n* **Jianna** is an MIT CS alum with years of experience building software at Meta, DoorDash, and Nvidia.",
        "url": "https://www.ycombinator.com/launches/Izd-ai-copilot-for-energy-data",
        "votes": 1662,
        "created_at": "2023-07-12T23:06:25.223Z"
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        "full_name": "Ethan Byrd",
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        "url": "https://www.ycombinator.com/companies/primitive/jobs/xMBR7BQ-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "visa": "US citizen/visa only",
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    "id": 31332,
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    "long_description": "Stage is a new code review platform designed to help engineers better understand and review AI generated code.\r\n\r\nEngineering teams are shipping faster than ever with agents, but now they’re drowning in an endless backlog of PRs to review. Stage reorganizes the code review process around how engineers naturally think, enabling you to review (and merge!) PRs 5x faster. \r\n\r\nUsed by top engineers at Legora, n8n, Branch, and more. ",
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    "team_size": 2,
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        "full_name": "Charles Pan",
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      {
        "id": 101617,
        "title": "Stage - Code review platform for humans and agents",
        "tagline": "Stage helps engineering teams understand and review PRs 5x faster",
        "body": "Hey everyone! We’re Charles and Dean - cofounders of Stage.\n\n**👉 tldr:** Drowning in AI generated PRs? Tired of using GitHub? Us too. Stage is a code review platform designed to help you understand and review changes 5x faster.\n\n<https://youtu.be/EjMjGAqSLvo>\n\n**💻 How to get started**\n\nTry it out today at[ https://stagereview.app/](https://stagereview.app/) - all you need is your GitHub account.\n\nIt’s free for your first 14 days, and then you can use _LAUNCH_ to get 25% off for 3 months :)\n\nOther ways to try it out:\n\n* Try our demo on any public GitHub PR [here](https://stagereview.app/try)\n* Download our open source CLI [tool](https://github.com/ReviewStage/stage-cli) - runs locally and works with any coding agent\n\n**❌ The Problem**\n\nEngineering teams are shipping faster than ever, but now they’re drowning in an endless backlog of PRs to review. The bottleneck isn't writing code anymore, it's reviewing it.\n\nThis leads to:\n\n* PRs being rubber stamped without getting closely looked at\n* Unexpected behaviors slipping through to production\n* Your engineers merging changes they don’t really understand\n\nCode review bots are great at catching surface level bugs but don’t solve the root problem.\n\nEngineers need a faster way of understanding changes and giving meaningful feedback, and GitHub’s UI hasn’t changed in over a decade.\n\n**🧠 How it works**\n\nWe’re redesigning the code review experience around the way that engineers naturally read PRs.\n\n* When you open a PR or push a new commit, Stage groups your changes into small logical “chapters”\n* These chapters get ordered in the way that makes most sense to read\n* For each chapter, Stage tells you what changed and specific things to double check\n* Once you review all the chapters, you’re done reviewing the PR!\n\nEverything is synced seamlessly with GitHub (commenting, approving, etc) so it fits right into the workflows you’re already used to.\n\n![uploaded image](/media/?type=post&id=101617&key=user_uploads/327595/5004c374-be1f-47fa-a182-638252d50cf6)\n\n**❤️ Why did we start Stage?**\n\nWe're two engineers who got frustrated with using GitHub for code review. \n\nAs coding agents started taking off, we saw our PR backlog pile up faster than we could handle. Not only that, the PRs themselves were getting larger and harder to understand, and we spent most of our time trying to build a mental model of what a PR was actually doing.\n\nWe built Stage to make reviewing a PR feel more like reading chapters of a book, not an unorganized set of paragraphs. We use it every day now (not just to review each other's code, but also our own!) and at this point we can't really imagine going back to using GitHub.\n\n**👋 About Us**\n\nCharles and Dean met in their very first class at Stanford freshman year, and have been best friends ever since.\n\nThey ended up taking every class together, worked at the same quant trading firm after graduating, and were roommates in New York before joining YC. They saw firsthand how AI caused code review to break down and started Stage to rebuild the experience for how teams operate today.\n\n![uploaded image](/media/?type=post&id=101617&key=user_uploads/327595/91328354-5de7-4d17-9ac6-4c48954f1e15)\n\n",
        "url": "https://www.ycombinator.com/launches/QQz-stage-code-review-platform-for-humans-and-agents",
        "votes": 43,
        "created_at": "2026-05-20T01:40:49.081Z"
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    "id": 31335,
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    "long_description": "Memoir is building a persistent and proactive AI teammate that helps an entire company keep up with its own progress. Think Instinct but for enterprise. We’re starting with product changes. When engineering ships something, Memoir understands who it affects and creates what each audience needs: a walkthrough for a customer, launch materials for a product marketer, or a technical explanation for another engineering team. It chooses the format and timing, then delivers the approved material in Slack. Nobody has to ask it to start.\r\n\r\nWe’re beginning with hands-on deployments, learning how each company works and where people depend on one another. That understanding will let Memoir expand beyond product releases to customer commitments, business decisions, and changes across departments. The idea grew from conversations with product marketers struggling to keep up with engineering, and the possibility of extending a proactive personal AI teammate to an entire business. \r\n\r\nOur ambition is a company where every important change sets the right communication in motion: the people affected receive something made for them, when they need it, without someone having to coordinate every handoff. As AI makes individual teams faster, Memoir helps that speed carry through the whole company.",
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        "full_name": "Maanav Agrawal",
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        "id": 102386,
        "title": "Memoir: AI CMO for software companies",
        "tagline": "The new era of product marketing for fast-moving engineering teams",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR:** AI marketing service for product-led software companies. We produce marketing artifacts at the same time you ship code. We turn your real product into social posts and demo videos in your voice automatically. Think of it as a clone of you that's also marketing your company at the same time.\\\n\\\n<https://youtu.be/qAfRjaRQw3g>\n\n**We'd love to meet:**\n\n    **•    Technical founders who want to build in public** \n\n    **•    Devtool/B2B SaaS teams** where features ship weekly but marketing ships quarterly. We close that gap.\n\n    **•    Operators who've run GTM for devtools at scale** — we'd love to hear what worked and what didn't.\n\nReach out: [maanav@trymemoir.ai](mailto:maanav@trymemoir.ai) · [jason@trymemoir.ai](mailto:jason@trymemoir.ai) · DM on Bookface · <https://calendly.com/maanav-memoir/30min>\n\n**Why this exists**\n\nThe technical teams who build the best products are often the worst at marketing them. Not because they don't care, but because the existing marketing stack is built for someone else. Demo tools cost $30K/year and require sales calls. Social tools want briefs and brand guidelines. Agencies want six-week timelines. Meanwhile, the engineer-founder ships features into a void.\n\nNow that the cost of development is so low, the biggest differentiator is no longer product, its distribution and how well you can capture your target audience. This only happens if you build in public.\n\nThe gap isn't talent or budget, it's that marketing infrastructure hasn't caught up with how technical teams actually work.\n\nMemoir is one system. It reads your repo, drives your live staging app with an AI agent, generates branded demo videos with synthetic data so dashboards look real and narrates them in a voice cloned from yours. Then it drafts posts for X / LinkedIn / HN in your writing voice (learned from how you've posted before) and ships them to your audience after you approve them. The output is indistinguishable from how you'd write and record it yourself, if you had the time.\n\n**How we got here**\n\nJason and I met as interns at IMC Trading. We both wanted to build in devtools, and our first attempt was Memoir as an AI company brain, a knowledge base that synced with your code so internal docs stayed current. Real problem on paper, and people nodded when we described it. But nobody felt urgency about it. Stale docs are annoying, but they don't make you feel like you're losing\n\nWhat we kept noticing while building that, though, was a different pain that _did_ make founders feel like they were losing. We kept hearing the same thing from every successful founder and mentor: build in public, share your product, post consistently. And we kept failing to do it. Not because we didn't want to, but because we'd rather keep building than figure out what to post.\n\nWe watched it happen around us. The teams getting real inbound weren't always the ones with the best product, they were the ones whose founders showed up online. Jason had run a reselling business in high school and scaled multiple social accounts to real followings, so he'd seen distribution work firsthand. I've always been obsessed with marketing strategy, partly because my dad's in the space, partly because I've watched so many teams get ahead of others because of their marketing.\n\n**What's there today**\n\nWe ingest code changes to post product updates, create custom demo videos, and turn relevant current events into advertisements. We currently handle X, Linkedin, and Hackernews posting.\n\n**Why us**\n\nTwo technical founders who got tired of watching engineering-led companies stay invisible. If you've watched a great product fail to find its audience, or you're running one right now and feeling that exact thing, reach out.\n\n![uploaded image](/media/?type=post&id=102386&key=user_uploads/1037475/05714953-7bfc-4d85-b7dc-4b6b0775ecdb)\n\n",
        "url": "https://www.ycombinator.com/launches/QdO-memoir-ai-cmo-for-software-companies",
        "votes": 11,
        "created_at": "2026-06-01T18:59:03.691Z"
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    "id": 31343,
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    "all_locations": "New York City, NY, USA",
    "long_description": "Multiplier helps institutional investors research stocks and manage their portfolios. We're live with six hedge funds, and our users spend 4+ hours a day in the platform.\r\n\r\nInvestors who try \"nearly every tool on the market,\" to quote a client of ours, \"wind up with an unwieldy collection of fragmented point solutions.\" Those who focus on building a great setup with general agents are instead \"signing up for a full-time job.\" So we deploy a platform called Multiplier that unifies structured data, unstructured data, AI work, human work, and tacit firm knowledge in one secure, governed, customized application.\r\n\r\nOur first vertical: independent equity funds with $250M-$5B of assets. They know AI is essential for staying relevant, but they don't have the time or talent to figure out what to do about it. But once we deploy Multiplier––\"We used to spend 80% of our time gathering information and 20% of our time acting on it,\" said one customer. \"Multiplier has flipped those percentages.\"",
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    "team_size": 3,
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    "country": "US",
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        "full_name": "Ian McInnis",
        "title": "Founder/CEO",
        "founder_bio": "Princeton Mathematics, 4.0, Shapiro Prize, Behrman Fellow, ΦΒΚ early election, ΣΞ induction & outstanding research award, researcher (check ArXiV), novelist (check nowhere) | Investor and builder of LLM investment systems at Bridgewater Associates, the world's largest hedge fund | Classically trained Shakespearean actor\n\n",
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        "full_name": "Benjamin Finch",
        "title": "Founder/CEO",
        "founder_bio": "Before WithAI, Ben was the founding researcher and chief of staff at unicorn AI lab Sentient. He oversaw prompt security and multi-agent coordination work and built a million-strong community.\n\nHe received a bachelor's and a master's in Electrical and Computer Engineering Magna Cum Laude from Princeton, writing acclaimed theses on solar power investment and a novel blockchain design to solve coordination issues in Energy. He grew up in Maryland, Mongolia, Kenya, and Indonesia.",
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        "id": 110696,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/multiplier/jobs/FULAL7W-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
        "equity_range": "1.00% - 4.00%",
        "experience": "1+ years",
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        "skills": [
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      {
        "id": 101275,
        "title": "WithAI – Custom command centers for hedge funds",
        "tagline": "We help institutional investors research stocks and track their portfolio using AI.",
        "body": "We're Ian and Ben, co-founders of WithAI. WithAI helps institutional investors use AI to research stocks and manage their portfolios. We forward-deploy to set up Multiplier, a secure platform that teaches AI how the fund works and connects it to all the needed tools, files, data, and context, so that investors can use the full strength of today's agents without taking on a second job as Claude-wrangler. After three months, we're live with multiple clients, doing &gt;$100k ARR. If you know a fundamental equity investor, we'd love to meet them. Email [ian@withai.co](mailto:ian@withai.co).\n\n<https://www.youtube.com/watch?v=S_ZhD9Y60GQ>\n\nAI has radically transformed coding. But in finance, super-sharp, highly-paid people are spending 2026 combing through an inbox full of PDFs, updating models in Excel, and eyeballing Bloomberg charts. Multiplier packages everything necessary to change that! It includes secure inference endpoints, changelogs, ontology maintainance, guardrails, and VM infrastructure, and it's all hosted on client servers. With a mix of open-source protocols and WithAI elbow grease, Multiplier connects to all the research, tools, and data used at a given firm. We conduct face-to-face interviews so we can give AI the tacit knowledge it needs to work at _your fund specifically_; gaps get filled by user feedback to the AI. Our interface––more like an IDE than a collection of chatboxes––makes oversight, guidance, and participation natural. Early clients have called Multiplier \"a tremendous proprietary knowledge flywheel\" and \"hugely insightful, a massive force multiplier.\" (In fact, that's where we got the name.) \n\nBen and Ian became fast friends building a deeptech investment group together (still going strong) and reunited because they'd independently hit on this idea. Ben, working on enterprise AI as founding researcher at Sentient Labs, saw what stopped his clients from accelerating like his engineers and wanted to productize the solution for the industry he knew best––investing. Ian, (profitably) overseeing an (undisclosably large) equity book at Bridgewater Associates, hacked together AI tools to help himself. They had a call to catch up one night and were spooked how they'd come to the same ideas.\n\nIf you know someone who picks stocks for a living (at a hedge fund, mutual fund, family office, etc.), we'd love to meet them. Get in touch at [ian@withai.co](mailto:ian@withai.co). Thanks so much!",
        "url": "https://www.ycombinator.com/launches/QLT-withai-custom-command-centers-for-hedge-funds",
        "votes": 35,
        "created_at": "2026-05-13T06:18:37.854Z"
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    "long_description": "Replicas is a cloud coding agent that allows you to delegate tasks to Claude Code or Codex from the app, Slack, Linear, and more. Each task works inside of a sandboxed virtual machine, allowing teams to heavily parallelize work and burn through tickets.\r\n\r\nReplicas agents output higher quality PRs via feedback loops - each task automatically is notified and fixes CI failures and reads all code reviews. With Environments, engineering teams can configure agents to run their entire codebase locally, verify its work, and provide preview URLs.",
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Connor Loi",
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        "founder_bio": "Building the best way to use cloud coding agents ;)\nprev helicone, td bank, and cohere :)",
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        "full_name": "Saai Arora",
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        "url": "https://www.ycombinator.com/companies/replicas/jobs/fmrVgOj-founding-growth",
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        "id": 99287,
        "title": "Replicas - End-to-End Background Coding Agents",
        "tagline": "Background coding agents for engineering teams",
        "body": "Hi there, I'm Connor from [Replicas](https://replicas.dev/) :)\n\nRecently, you might have seen Stripe and Ramp release blogs outlining their in-house background coding agents. This showed us that background agents, with the proper tooling, can be relied on to ship critical production code.\n\nReplicas is a background coding agent that can run your codebase locally.\n\nWe’re used by 20+ YC startups at all team sizes.\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/b35f4253-6fd0-478b-a04f-26f73a18b625)\n\n**The Problem**\n\nBackground coding agents are a huge productivity boost for clearing tickets and shipping faster.\n\nThe existing solutions - CC/Codex on Cloud, Cursor Agents - lock you into one harness and give you **no control over the environment**.\n\nThis defeats the entire point of \"background\" agents. A powerful background agent should run everything locally, verify its work, and iterate until it's satisfied.\n\n**How Replicas Works**\n\n**Replicas** helps you delegate to as many background agents as you need:\n\n\\- Bring your own Claude/Codex credentials\n\n\\- Each agent gets a sandbox VM with your code cloned\n\n\\- The agent installs deps, spins up databases, runs services, and verifies its work locally\n\n\\- When it's done, it opens a PR for you to review\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/e20b6968-523d-4376-a05c-ba175cc61611)\n\nReplicas can be triggered from Slack, Linear, GitHub (PR reviews, CI/CD failures), the Dashboard, or API.\n\nThe biggest difference is **Environments**. You can configure the following:\n\n\\- Files\n\n\\- Env vars\n\n\\- Start hooks\n\n\\- Warm hooks\n\n\\- Skills/MCPs\n\nIt's built so that its flexible to any kind of codebase, allowing Replicas to run everything locally just like a human engineer would.\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/df185d7b-b90e-455f-9ff7-10dcefcfd8c7)\n\nReplicas can also create **Previews**:\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/7be01ba9-b653-43f2-975d-234002802e15)\n\nMeaning you can check out services (e.g web app on `3000`) running on the sandbox's VM from your computer with just a click :)\n\nCheck out this writeup for Replicas V1 for more details:\n\n<https://www.replicas.dev/notes/replicas-v1>\n\n**Demo Video**\n\n<https://youtube.com/watch?v=uyH77T-pcXc>\n\n**What's Next**\n\n\\- **Automations + API**: Improving our API and adding an automations menu, e.g having Replicas run every night.\n\n\\- **Recursive**: Replicas can break down super complex tasks by creating more Replicas instances.\n\n\\- **Lowering Latency**: For larger teams, improving our warm pool and snapshotting infrastructure to make spinning up Replicas feel _instant_ (more than it already does)\n\n\\- **Long-term Memory**\n\n\\- and what our customers ask for :p\n\n**What I'm asking from you**\n\n\\- Sign up (<https://replicas.dev>) or reach out ([connor@replicas.dev](mailto:connor@replicas.dev))\n\n\\- Check out \\[this writeup\\](<https://www.replicas.dev/notes/replicas-v1>) for Replicas V1\n\n\\- Upvote if this resonates with you!",
        "url": "https://www.ycombinator.com/launches/PpP-replicas-end-to-end-background-coding-agents",
        "votes": 87,
        "created_at": "2026-04-01T17:38:42.126Z"
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    "id": 31349,
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    "website": "https://palettelabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Palette is a self-improving AI-native media platform built by MIT computer scientists and multimodal researchers that unifies the creative workflow into a single generation engine. We’re building a fully autonomous production engine that generates, distributes, and optimizes interactive media for every brand and audience.",
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        "linkedin_url": "https://www.linkedin.com/in/serena-pei-80ab21215/",
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        "title": "Palette - An AI-Native Media Platform",
        "tagline": "Unify the creative workflow into a single, high quality generation engine",
        "body": "[Palette](https://palettelabs.com/) is an AI-native media platform built by MIT computer scientists and multimodal researchers that unifies the creative workflow into a single generation engine. We eliminate tool and context fragmentation for creative teams in enterprises and allow content creators to transform static assets into controllable, repeatable workflows in one conversation.\n\nCheck out our demo [here](https://youtu.be/xKibxXF9pGw)\n\n**The Problem**\n\nToday, in order to deliver high-quality, tasteful content, individual content creators and enterprise teams struggle with a heavily fragmented landscape of separate, disconnected applications for multimodal content production. For individual creators, this tool fragmentation breaks creative flow and focus. For enterprise teams, it destroys brand context and causes inconsistencies that slow down iteration speed.\n\n**The Solution**\n\nPalette solves this by providing a single platform where content creators can use natural language and product context to generate multimodal media, execute precise edits, and build repeatable creative workflows. To drive enterprise growth, Palette delivers targeted, end-to-end services, ranging from ad runs and brand-safe influencer UGC to product launches and interactive multimedia L&amp;D onboarding.\n\n**About us**\n\nWe’re [Josephine](https://www.linkedin.com/in/josephinelee1234/) and [Serena](https://www.linkedin.com/in/serena-pei-80ab21215/), the founders of Palette. We met at an art program and studied computer science at MIT, with experience in multimodal research and computer vision as well as industry experience at Scale AI, Datadog, and Amazon. \n\n**Asks**\n\nWe’d love to connect with:\n\n* Content creators looking to explore precise, controllable visual content generation.\n* Marketing teams looking to scale their content and advertisement workflows.\n* Operations leaders facing severe onboarding or documentation bottlenecks.\n* Heads of Learning &amp; Development looking to move away from static LMS systems.\n\nTry it at [studio.palettelabs.com](http://studio.palettelabs.com) or learn more at [palettelabs.com](http://palettelabs.com).",
        "url": "https://www.ycombinator.com/launches/SDV-palette-an-ai-native-media-platform",
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        "created_at": "2026-07-31T19:02:01.948Z"
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        "full_name": "Ishaan Makkar",
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        "founder_bio": "Founder/CEO at Hexa (YC P26), building vertical AI agents for manufacturers and distributors. Previously founded a B2B ed-tech startup that scaled to 70+ partners and 5,000+ users. Physics @ Imperial. Competed at the national level in UK distance running.",
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        "full_name": "Mann Patira",
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        "founder_bio": "Co-Founder & CTO @ Hexa: The OS for Manufacturers and Distributors.\nEx AI @ Bloomberg and SWE @ Autodesk\nMEng in ML & AI from Imperial College London",
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      {
        "id": 102525,
        "title": "Hexa: Autonomous operations for industrial distributors",
        "tagline": "We automate sourcing and quoting. Distributors sell more at higher margins.",
        "body": "Hey everyone, we’re [Ishaan](https://www.linkedin.com/in/ishaan-makkar/), [Auri](https://www.linkedin.com/in/aurideep/) and [Mann](https://www.linkedin.com/in/mannpatira/) - cofounders of [Hexa](https://www.hexaagents.com) 👋\n\n\\\n**TLDR**\n\nHexa automates sales and procurement for industrial distributors and manufacturers, helping them source parts cheaper and quote faster to grow revenue by over 10%.\n\n<https://www.youtube.com/watch?v=_8Knlrk4zwc>\n\n**The Problem**\n\nMid-market distributors and high-volume manufacturers run everything through legacy ERPs, and those systems still depend on humans to key in every quote, order, and invoice.\n\nSales reps spend their days reading RFQs from email, PDF, Excel, and fax, then retyping them into the ERP instead of talking to customers.\n\nQuoting takes hours, which means distributors respond slowly and lose 15%+ of revenue each year.\n\nThe people who actually know how to run these systems are retiring. Over half the workforce will leave this decade, and the knowledge in their heads walks out with them.\n\nYou cannot grow faster than you can hire. Service slows and relationships suffer.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=102525&key=user_uploads/2767100/da1b1daf-476d-42f0-a878-007c6012dc36)\n\nHexa plugs into the systems you already use and brings AI agents natively inside the ERP. No rip-and-replace, live in days.\n\nHexa watches every channel a request comes in on and runs the full workflow:\n\n* Quoting: Reads the RFQ, matches the right SKU and pricing, and drafts the quote so it is ready to send.\n* Order Entry: Matches the incoming PO to the quote, creates the sales order, and writes it into the ERP.\n* Procurement &amp; Finance: Sources out-of-stock items at the best cost, then reconciles AP/AR and catches discrepancies humans miss.\n\nReps review and approve instead of hours of admin. Response times go from hours to minutes, win rates increase.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=102525&key=user_uploads/2767100/2907d734-5902-4a91-95f7-9cea885197f0)\n\nIshaan (CEO) - Grew up around manufacturing; his family runs one of India’s largest paper producers. He scaled a previous B2B startup to 5,000+ users, then worked at a manufacturer building the exact automations Hexa sells today.\n\nMann (CTO) - Studied Computer Science at Imperial. Worked at Bloomberg as an ML engineer building graph neural networks for financial derivatives, and at Autodesk building software for manufacturers.\n\nAuri (COO) – Worked in the Private Equity team at KKR where he covered distributors, the exact buyers Hexa sells to. Prior to this worked in the technology investing team at Apax. Former U14 England chess player.\n\nWe’ve known each other for over a decade, from the same school and town, and now live together.\n\n**Our ask:**\n\nIf you know an owner of an industrial distributor or a VP of Sales or Operations, please reach out. We have a 15% referral bonus!\n\n<https://www.hexaagents.com/referral>",
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        "created_at": "2026-06-03T20:08:30.161Z"
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        "full_name": "Anand-Arnaud Pajaniradjane",
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      {
        "id": 101192,
        "title": "Scope - The Agent Experience Platform",
        "tagline": "We help companies understand and improve how AI agents discover, choose, and use their product",
        "body": "Hey everyone! I’m Anand, founder of Scope.\n\n**Problem**\\\nMore and more products are now being used through Claude Code, Codex, Cursor, and similar agents. If your product is accessible to an agent, the agent can now decide which product to use, how to set it up, and whether it keeps using it after that. Most companies still can’t see that process clearly.\n\nThat means they often do not know when an agent is choosing them vs. a competitor, where it is getting stuck, or what part of the product or docs is causing the problem.\n\n**Solution**\\\nThat’s what Scope is for.\n\nWe run real workflows across agents and show teams:\n\n* when the agent chooses them vs. a competitor\n* where it breaks\n* where docs or product surfaces confuse the agent\n* what to change to get better results\n\nA simple example: a company thinks their product works well with agents, but on a real task the agent picks a competitor, gets stuck during auth, or goes down the wrong path because the docs are unclear. Scope shows the trace, where it failed, and what to change.\n\nWe’re already working with Blaxel and a decacorn.\n\n**Demo video:**\\\n<https://youtu.be/OqtaJbjMbiQ>\n\n**Why I’m working on this**\\\nBefore Scope, I did interpretability research on closed-source models at Princeton, then worked as an ML engineer on GEO / AEO. I kept seeing the same thing: these systems were starting to shape product discovery and product usage in real ways, but for companies, the process was still mostly a black box. I wanted to build something that makes that behavior visible and useful to the teams trying to fix it.\n\n**Ask**\n\n* If you’re building a product that can be used by an agent, an API, an infra product, a CLI, or an MCP server, I’d be happy to run Scope on your product and send you what we find.\n* If you know founders, product teams, DevRel, or growth folks thinking about this, feel free to send them my way.\n* You can check us out at[ ](http://tryscope.app/)[tryscope.app](http://tryscope.app) or reach out to me directly at [anand@tryscope.app](mailto:anand@tryscope.app).",
        "url": "https://www.ycombinator.com/launches/QK8-scope-the-agent-experience-platform",
        "votes": 10,
        "created_at": "2026-05-11T16:17:37.856Z"
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    "name": "Marker",
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    "long_description": "Marker is a platform for rebuilding enterprises agent-first, delivered by forward-deployed engineers. It productizes every step from discovery to production, so every agent we ship makes the next one faster.",
    "one_liner": "Platform + FDEs that rebuild enterprises agent-first",
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        "full_name": "David Pastewka",
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        "user_id": 35831,
        "full_name": "Richard Berwick",
        "title": "Founder",
        "founder_bio": "Co-founder of Marker. Previously co-founded Drapr (S20; acquired by Gap Inc.) and Twindom (acquired). UC Berkeley, Business.\n\nEntrepreneur at heart with a hacker brain. I'm always looking for ways to solve problems in efficient, inexpensive ways -- and I love helping people (and companies) get through difficult situations. If I can create value, I will.",
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        "full_name": "Will Drevno",
        "title": "Founder",
        "founder_bio": "Co-founder at Marker. Previously co-founded Drapr (yc s20; acquired by Gap Inc.) and Twindom (acquired). Studied engineering at UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/will-drevno-0a78832a/",
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      {
        "id": 111180,
        "title": "Marker: AI-native consultancy rebuilding businesses with AI agents",
        "tagline": "95% of enterprise AI initiatives fail. Ours don't.",
        "body": "**TL;DR: Marker partners with execs, learns how their organization actually works, finds the highest-impact problems, and solves them by** **shipping custom AI agents into production on the Marker platform in weeks. Each agent deepens our understanding of the business, so the next agent launches faster. We stay embedded until the business is rebuilt.**\n\n<https://www.youtube.com/watch?v=O829Y4wlKvk>\n\nWe’re Will Drevno, Richard Berwick, and David Pastewka, the founders of Marker. We’ve built together for 15 years. Our last company, Drapr (YC S20), was acquired by Gap Inc., and Richard went on to found Gap’s Office of AI.\n\n## **Why we built Marker**\n\nInside Gap, we saw firsthand how much leaders wanted to transform their businesses with AI and how hard it was to turn that ambition into production systems that actually changed how their organizations worked.\n\n**95% of AI initiatives still fail. Ours don’t.**\n\nThe hard part is understanding how work happens across people, systems, and teams; choosing the opportunities that matter most; and getting solutions into production.\n\n## **How Marker works**\n\nWe embed with each company and lead the transformation end to end:\n\n* **Understand the organization.** We listen closely to leaders and frontline teams, learn their systems and ways of working, and map the processes that usually live in people’s heads.\n* **Find the biggest opportunities.** We identify and prioritize the problems where AI can have the greatest impact on cost, capacity, speed, or growth.\n* **Build and ship.** We create custom agents and automations around the company’s real workflows and systems. The agents we deploy run on the Marker Command Center and go live in production within weeks.\n* **Compound.** Every agent we deploy deepens our understanding of the company. That helps us launch the next one faster and makes Marker increasingly integral to how the organization operates.\n\n## **Who we’re working with today**\n\nWe’re rebuilding companies from mid-size through Fortune 500.\n\n## **Why us**\n\nWe’ve sat on every side of this: founders selling into enterprises, operators transforming one from the inside, and executives responsible for enterprise AI. Marker is the company we wish we could have hired at Gap.\n\n## **Our ask**\n\n**If you are (or you know) a leader looking for real AI transformation—not another pilot, deck, or self-serve tool—please send them our way.**\n\nReach us via email at [**founders@onmarker.com**](mailto:founders@onmarker.com), or visit [**onmarker.com**](http://onmarker.com).",
        "url": "https://www.ycombinator.com/launches/SvE-marker-ai-native-consultancy-rebuilding-businesses-with-ai-agents",
        "votes": 72,
        "created_at": "2026-08-19T14:00:01.019Z"
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    "country": "US",
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        "full_name": "Sardor Rahmatulloev",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Twolabs. Previously at Meta Superintelligence Labs, combat robots at Cornell, and built humanoid robots.",
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        "full_name": "Danyal Ahmad",
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        "founder_bio": "Co-Founder & CTO of Twolabs. Former Salesforce MTS with an MS in AI from Georgia Tech.",
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        "id": 101964,
        "title": "Twolabs - Humanoid robots for caregiving",
        "tagline": "Socially intelligent humanoids to assist the elderly.",
        "body": "**TL;DR -**\n\n[Twolabs](https://www.twolabs.ai/) builds humanoid robots for caregiving.\n\nOur robots will assist at nursing homes and senior living centers to take care of the elderly, starting with feeding, dressing, medication, daily tasks, and companionship.\n\nWe have our first robot design Tobi, are actively training VLAs, and building the social intelligence layer. Check out our [launch video](https://youtu.be/70T6AzTqIHc?si=CwZwf999yWGGNFk3).\n\n**What we do**\n\nTwolabs builds semi-humanoid robots for nursing homes and senior living communities. We're building the robot to achieve the following goals for the elderly:\n\n* **Everyday help.** Feeding, dressing, medication reminders, fetching objects, the daily physical work of getting through a day.\n* **Mobility support.** A stabilization aid so residents can walk safely, plus wayfinding around the facility.\n* **Companionship.** Conversation, presence, real social support, so a resident isn't alone all day.\n\nWe build the full stack in-house, the robot hardware and all the AI that makes it socially capable. Most of robotics right now is chasing warehouse manipulation, moving boxes and folding laundry. We think the harder and more important problem is robots and people working closely together.\n\n![uploaded image](/media/?type=post&id=101964&key=user_uploads/2115411/ee3141ab-259b-402a-8ee5-5e10b8ce37fd)\n\n**The backstory**\n\nI'm [Sardor](https://www.linkedin.com/in/sardor-rahmatulloev). I was born in Samarkand, Uzbekistan, moved to the US at six, and studied CS at Cornell. At Cornell I led a 40+ engineer team building autonomous combat robots. We were ranked top 5% nationally; most of my team went on to defense tech and semiconductors. My faculty advisor was Professor Tapo Bhattacharjee, who runs one of the leading caregiving robotics labs in the country. After Cornell I joined Meta Superintelligence Labs at 23 years old, working on GPU optimization, foundation model training, and AI infra. I left to start Twolabs. (I also got to be the first Uzbek founder to get into YC.)\n\n[Danyal Ahmad](https://www.linkedin.com/in/danyalahmad1/) is my co-founder, and we have known each other for over nine years, since high school. We interned together at Salesforce in 2024 and have built a lot of products together since. Danyal has an MS in AI from Georgia Tech, and fine-tuned video models at Salesforce.\n\nWe started Twolabs because our grandparents face a lot of health conditions as they grow older, and we wanted to build a robot that can assist them in their daily lives. The need is everywhere: the US is short hundreds of thousands of caregivers and the gap widens every year as the population ages. A caregiver costs a facility around $60K/year, turnover is brutal, and the work is physically and emotionally exhausting. Meanwhile the people who need help, getting out of bed, eating, not being alone all day, don't get enough of it. A robot doesn't replace caregivers. It takes the repetitive physical load off them so one caregiver can do more for more residents, and residents get help when they actually need it.\n\n**Our bet**\n\nMost robotics companies fall into one of two camps:\n\n* **Task robots** that can do physical work but can't relate to a person.\n* **Social robots** that can hold a conversation but can't actually do anything.\n\nEach succeeds at one half of the problem. But we think a truly helpful robot has to handle both, completing the physical task and engaging with the person in front of it. Too many humanoids are optimizing for task completion alone. We're betting the robots that actually help people will need to be socially intelligent to do it.\n\nThe other half of our bet is how robots are built. Companies have to be vertically integrated to win in robotics right now. We build the hardware and the AI together, because at this stage of Physical AI the models need to be specific, not general-purpose.\n\n**Where we are**\n\nPrototype design completed and our AI stack in active development. We're advised by Professor Zackory Erickson at Carnegie Mellon, whose research is at the leading edge of assistive robotics.\n\n![uploaded image](/media/?type=post&id=101964&key=user_uploads/2115411/551aef43-2a9c-4786-831c-ea4c32f77551)\n\n**Our asks**\n\n1. **Engineers and research scientists.** If you or someone you know is proficient in VLA research, reinforcement learning, or robotics foundation models, we're hiring AI engineers and research scientists.\n2. **Investors.** Investors in robotics, humanoids, healthcare, or hard tech, especially anyone who's been close to elder care.\n\nContact us directly at [sardor@twolabs.ai](mailto:sardor@twolabs.ai) and [danyal@twolabs.ai](mailto:danyal@twolabs.ai). And check out our website at [twolabs.ai](http://twolabs.ai).",
        "url": "https://www.ycombinator.com/launches/QWa-twolabs-humanoid-robots-for-caregiving",
        "votes": 8,
        "created_at": "2026-05-26T14:52:49.982Z"
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        "answer": "Product changes (a copy tweak, a pricing page update, a new business logic update) often wait behind an engineering sprint. The PM files a ticket. Follows up in standup. Two weeks later, it ships.\r\n\r\nCoding agents like Cursor and Claude Code made engineers 10x faster, but that speed never reached the rest of the product team. The PM still files a ticket and waits. The tools pitched at \"non-technical builders\" - Lovable, Replit - only spin up new prototypes from scratch. None of them touch the product you actually run.\r\n\r\nEach of us hit this from a different side. Ben saw this bottleneck from the investor seat through his portfolio companies and during his time at SEA group as a PM. Heng Hong saw it from inside engineering: engineer time burned on changes anyone should be able to make. Benedict saw it from infrastructure: the plumbing to let non-engineers ship safely didn't exist yet."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Every person at a company will be able to ship product changes, not just engineers. The barrier between having an idea and shipping it disappears.   \r\n\r\nPMs won't file tickets. Designers won't hand off mockups and wait. Founders won't choose between learning to code or hiring an engineer for a copy change. Engineering backlogs will shrink from bottleneck to review queue. Review comments get aggregated and fed back to the agent, which self-heals before an engineer steps in.\r\n\r\nEngineers will focus on architecture, infrastructure, and the hard problems - while everyone else ships the changes they're closest to the customer to make. Software development becomes a team sport. We think this is as big a shift as when spreadsheets let non-finance people work with data, or when Canva let non-designers create graphics. Product agents will do the same for software."
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        "full_name": "Ben Ong",
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        "full_name": "Benedict Chan",
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        "full_name": "Heng Hong Lee",
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        "title": "Founding AE",
        "url": "https://www.ycombinator.com/companies/lightsprint/jobs/rP7UsD7-founding-ae",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "$130K - $180K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
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        "title": "Head of Developer Relations",
        "url": "https://www.ycombinator.com/companies/lightsprint/jobs/kTQN5M4-head-of-developer-relations",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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        "id": 109310,
        "title": "Motion Graphics Designer & Videographer",
        "url": "https://www.ycombinator.com/companies/lightsprint/jobs/oYNUzBU-motion-graphics-designer-videographer",
        "location": "San Francisco, CA, US / Remote (US)",
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        "id": 112655,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/lightsprint/jobs/XUrAD20-senior-software-engineer",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "news": [
      {
        "title": "This Y Combinator startup raised $6.1 million to let product managers and designers ship code. See its pitch deck.",
        "url": "https://africa.businessinsider.com/news/this-y-combinator-startup-raised-dollar61-million-to-let-product-managers-and/x2hx28k",
        "date": "Oct 13, 2026"
      },
      {
        "title": "The 11 standout startups from YC's Demo Day, according to VCs | TechCrunch",
        "url": "https://techcrunch.com/2026/06/18/the-11-standout-startups-from-ycs-demo-day-according-to-vcs/",
        "date": "Jun 18, 2026"
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    "launches": [
      {
        "id": 101734,
        "title": "Lightsprint - The Collaborative Product Development Platform",
        "tagline": "Lightsprint lets teams plan visually, preview live and ship with an army of cloud agents",
        "body": "**tldr:** We are building a collaborative platform for software teams to plan visually, preview live and ship with an army of cloud agents. Your whole team, including non-engineers, can now ship end to end reliably.\n\n<https://youtu.be/P9e-5Mg72fc>\n\n**The problem**\\\nSoftware is built by teams. But AI coding agents run alone on one developer’s IDE or terminal.\\\nThe result: teammates are out of sync, planning stays buried in docs, and reviewers approve changes with little context. Execution has never been faster. But coordination has never been more painful. \\\n\\\nThe SDLC was built around coding. Coding has changed, and the SDLC must be updated.\\\n\\\n**The solution**\\\nLightsprint makes agentic software development collaborative. It completes the entire AI loop - not just code gen, but the full cycle from requirements to shipped code, with your whole team in the game.\n\n1. **Visual Plan Mode**: Write a simple requirement. Lightsprint breaks it into a structured plan with tasks, dependencies, and visual options to choose from. Your whole team collaborates with the agent on the plan: see it, annotate it, and approve it. No more blind execution.\n2. **Infinite Parallel Cloud Agents**: Hit execute and Lightsprint spins up multiple agents working your codebase simultaneously. One’s building the frontend component, another is building a dashboard, a third is writing tests. Anyone can steer the agent. What takes a team days gets compressed into hours.\n3. **PR Preview Environments**: Every PR automatically gets a live preview URL. Not a diff. A running instance of the code. Your designer clicks through it and says “yes, ship it” or “change the layout” without reading a single line of code. Everyone on your team ships code now.\n\nWe’ve been using Lightsprint to build Lightsprint, and it has dramatically increased our engineering velocity. Lightsprint is also mobile-friendly so you can fire tasks from wherever you are. That has been a game-changer for us!\n\n\\\n**About Us**\\\nThe team is made of Ben Chan who was the previous CTO of Bitgo (NYSE: BTGO) and has led engineering teams of 300; Heng Hong, an engineering leader from Meta who built FB messenger; and Ben Ong, an ex VC who was part of the venture building arm at Temasek (300B AUM fund) and led products at SEA group (NYSE: SE). \n\n\\\n**Ask**\\\nIf you're shipping with AI agents and want to improve coordination, accelerate feature development, or let non-technical teammates help build — we'd love to chat. Book a demo on <https://lightsprint.ai>",
        "url": "https://www.ycombinator.com/launches/QSs-lightsprint-the-collaborative-product-development-platform",
        "votes": 54,
        "created_at": "2026-05-21T20:02:41.242Z"
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    "id": 31363,
    "name": "Saffron",
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    "website": "https://www.trysaffron.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Saffron allows companies to quickly evaluate how well software engineers use AI to code. \r\n\r\nThe way engineers write code has fundamentally changed, but the way companies evaluate them hasn't. Saffron gives teams full visibility into how candidates use AI agents to build, debug, and ship real features on an actual codebase. \r\n\r\nSaffron was founded by Robert Chondro (formerly MIT and Jane Street), Jerry Yao (Stanford and Jane Street), and Kazuma Choji (Harvey Mudd, published in NeurIPS and ICML), and is backed by Y Combinator (P26) and Afore Capital. ",
    "one_liner": "Helping your company find 10x engineers. ",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1773810768,
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    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/saffron.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trysaffron/",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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        "full_name": "Robert Chondro",
        "title": "Founder/CEO",
        "founder_bio": "CEO\nStudied math & computer science @ MIT\nBuilding AI-native technical assessments to vet/hire SWEs",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/robertchondro",
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        "full_name": "Kazuma Choji",
        "title": "Founder/CTO",
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        "full_name": "Jerry Yao",
        "title": "Founder/CPO",
        "founder_bio": "Building AI-native technical assessments\nPrev. CS + math @ Stanford",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mjyao/",
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      {
        "id": 100291,
        "title": "Saffron: Find Your Next 10x Engineer",
        "tagline": "Companies use Saffron to evaluate how well software engineers use AI to code.",
        "body": "**TL;DR:** Saffron gives candidates a real codebase and ability to use any AI tooling they'd use on the job. We capture every prompt, diff, and decision in a sandboxed environment that gets scored automatically. Teams can now get structured metrics on how candidates actually build, not just whether the final output compiles.\n\nBook an onboarding call here: [**https://trysaffron.ai**](https://trysaffron.ai)\n\n**Our Launch Video**\n\n<https://youtu.be/pJHXqTKKMRQ>\n\n---\n\n**The Problem**\n\nAI coding tools have finally gotten good enough to actually change how engineers work. But the way companies evaluate SWEs hasn't changed at all.\n\nNow, interviews are testing the wrong thing and candidates are passing every round of your hiring process, before showing up on the job unable to build a single feature without AI doing the thinking for them.\n\nOn the flip side, companies are missing out on engineers who actually know how to use AI to be ten times more efficient.\n\nWe know because we've been on both sides. As candidates, we realized how how much potential there was to become 10x with AI. As founders, we’ve heard the same story from dozens of teams: \"They crushed the interview. Two weeks in, they couldn't ship anything independently.\"\n\n---\n\n**Our Approach**\n\nWe’ve built an assessment that embraces AI and measures how efficient an engineer is. Candidates get a real codebase, AI tools they’d actually use on the job, and a task that simulates engineering work. We capture the full process and evaluate it automatically.\n\n---\n\n**⚙️ How It Works**\n\n**Step 1: Create an assessment in under 5 minutes.** Point us at your GitHub repo or choose a question from our bank, configure AI agents, and invite candidates.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=100291&key=user_uploads%2F2767627%2F8e7827fe-4250-4411-b495-f0b5d2dbbd18&variant=large)\n\n**Step 2: Candidates build in a fully managed environment.** They get an online IDE that they can customize, a timer, and a real task. No setup required on their end. After coding, they answer debrief questions about their own implementation — and we verify their answers.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=100291&key=user_uploads%2F2767627%2F9e27fefd-a405-4ae1-859c-5b83c72af8e0&variant=large)\n\n**Step 3: Review results without reading a single line of code.** AI review agents score the submission across dimensions you configure with specific evidence from the codebase. We show you detailed metrics like prompts, AI reliance percentage, or tool calling, and give a deterministic score on how well the candidate did.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=100291&key=user_uploads%2F2767627%2F3645c5c3-534f-4a40-a8d9-d662bd13a0e9&variant=large)\n\n---\n\n**Why Us**\n\nWe’re Robert, Jerry, and Kazuma. We met in high school, started building together, and have been close friends ever since. Robert studied at MIT and was at Jane Street. Jerry studied at Stanford and was also at Jane Street. Kazuma studied at Harvey Mudd and was published in NeurIPS and ICML.\n\nAll three of us were CS students recruiting for SWE jobs the entirety of our first semester of college. And after noticing how much our coding workflow had changed with the introduction of better and better models, we knew that assessments had to catch up.\n\n---\n\n**Our Ask**\n\n* **Hiring SWEs?** We'll set up your first assessment for free, configure it to your codebase, and work with you 1:1 to build out whatever you need. We're early and hungry. Book a call: [**https://trysaffron.ai**](https://trysaffron.ai)\n* **Know an engineering lead, head of talent, or recruiter** who's frustrated with their current process? We'd love an intro.\n\nCan't wait to hear your feedback!\n\n\\-Robert, Jerry, and Kazuma",
        "url": "https://www.ycombinator.com/launches/Q5b-saffron-find-your-next-10x-engineer",
        "votes": 33,
        "created_at": "2026-04-27T18:29:36.573Z"
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    "name": "Chert",
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    "website": "https://www.trychert.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Chert provides the infrastructure for businesses to automate conversations over iMessage. We’re already working with B2C startups, customer experience teams, and sales teams to reach end users through trusted and conversational messaging. ",
    "one_liner": "iMessage infrastructure for business",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1777155515,
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    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/chert",
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    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trychert/",
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      "url": "https://www.ycombinator.com/people/david-lieb"
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        "user_id": 2953142,
        "full_name": "Gary Gao",
        "title": "Founder/CEO",
        "founder_bio": "Hi, I'm Gary, co-founder and CEO at Chert. We're providing the infrastructure for businesses to build conversational interfaces in iMessage. \n\nBefore moving to SF last month, I studied CS and Business at Penn and spent the past year researching ML model architectures, designing neuromorphic chips, and building projects with my co-founder Ian. Outside of this, I like flying planes, running marathons, and reading! ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/garygao333/",
        "x_url": "https://x.com/GaryGao891219",
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      {
        "user_id": 2929634,
        "full_name": "Ian Fong",
        "title": "Founder/CTO",
        "founder_bio": "I study Mathematics at NYU and previously worked on algorithm research at Courant. Along the way, I’ve won 8 hackathons, including MIT, Harvard, Penn, and Princeton.\n\nfun fact: I've lived in a total of 16 cities in 20 years of my life.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ianyfong",
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      {
        "id": 100959,
        "title": "Chert – iMessage infrastructure for trusted communication at scale",
        "tagline": "Chert provides the infrastructure for teams to send, receive, and automate conversations over iMessage using APIs.",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR**: Chert provides the infrastructure for teams to send, receive, and automate conversations over iMessage using APIs. We’re already working with B2C startups, customer experience teams, and sales teams to reach end users through trusted and conversational messaging.\n\n**Ask**: If you’re interested in integrating iMessage into your customer conversations, or know someone who is, we’d love to talk: <https://cal.com/team/chert/chert-call> \n\n<https://www.youtube.com/watch?v=g0BYKdbaNFo>\n\n**The Problem**\n\niMessage is one of the most trusted and widely used messaging channels in the US. People use it every day to talk with friends, book appointments, coordinate plans, and have conversations. \n\nBut for businesses, iMessage is still very difficult to automate programmatically. \n\nIf a business wants to build on iMessage today, they would have to set up phone lines, manage devices, monitor line health, and connect everything back into their existing tools. \n\n**Our Solution**\n\nChert lets teams build agents that can send and receive iMessages directly through our API.\n\nUsing iMessage as the communication channel has a few major advantages:\n\n1. **Higher trust and visibility**: while green-bubble SMS and RCS messages get ignored, people open and read blue-bubble iMessages \n2. **More expressive conversations**: Typing indicators, reactions, stickers, attachments, images, and videos make conversations feel more human than standard SMS or email.\n3. **Better response loops**: Because iMessage is a channel users already check constantly, teams can create faster and more continuous conversations with prospects, customers, and users. \n\nWe can also integrate natively into calendars (Calendly, [Cal.com](http://Cal.com), etc), CRMs (Hubspot, Salesforce, etc), and internal tools to add logging and structure into conversations.\n\n**Our ask**: \n\n1. If you’re building a B2C startup, customer experience team, or AI agent that could benefit from iMessage as a communication channel, we’d love to talk: <https://cal.com/team/chert/chert-call> \n2. If you have other use cases for iMessage that you think would be helpful, we’d love to hear them: <https://cal.com/team/chert/chert-call>\n\nVisit us at <https://www.trychert.com/>\n\nContact us at [contact@trychert.com](mailto:contact@trychert.com)",
        "url": "https://www.ycombinator.com/launches/QGN-chert-imessage-infrastructure-for-trusted-communication-at-scale",
        "votes": 44,
        "created_at": "2026-05-07T22:21:41.432Z"
      }
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    "id": 31370,
    "name": "Dayjob",
    "slug": "dayjob",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b05d200707537271b32356fc9f883781eb7e5f4a.png",
    "website": "https://www.getdayjob.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Dayjob does AI Scheduling for Short Haul Trucks. Our scheduling agent plugs into existing ERPs and continuously re-optimises routes in real time - handling new jobs, driver changes, and exceptions automatically. Customers in waste management see 8%+ efficiency gains from day one.",
    "one_liner": "AI Scheduling for Short Haul Trucks",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1775407410,
    "tags": [],
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    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Fred and I met at Oxford 13 years ago. We've lived in five houses together and were ushers at each other's weddings. In 2022, we started building software for the waste industry after seeing how poorly existing ERPs served day-to-day operations. We spent mornings at customer depots from 6AM, watching transport planners manually drag and drop jobs into routes. Plans took over an hour to build and were often obsolete within another hour. Our top customers told us they literally cannot train planners fast enough to keep up. The cognitive load burns most planners out within 18 months. We realised the problem wasn't missing features. It was that humans were being asked to do work they physically cannot do reliably. In January 2025, we pivoted to Dayjob: autonomous AI workers that plan and execute operational decisions in real time."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started in October 2022, building ERP and inventory software for the waste industry, generating $150K in revenue. Two hard lessons emerged: large operators wouldn't migrate ERPs regardless of product quality, and better UI didn't solve the real problem of manual decision-making at scale. In January 2025, we pivoted to Dayjob, integrating with existing ERPs instead of replacing them and deploying AI workers that perform operational work directly. We started selling the product in August 2025. ARR has grown to $653K in seven months, with top customers achieving 8%+ efficiency gains from day one."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Short haul trucking relies on humans continuously re-optimising thousands of constraints in real time: vehicle capacity, weight limits, site access windows, driver hours, and regulatory rules, all while responding to hundreds of live job changes. A single day's route plan takes 8 hours to build and is typically obsolete within an hour. Our top customers say they cannot train planners fast enough. Most burn out within 18 months. The problem is getting worse: experienced drivers who historically moved into planning roles are being replaced by office hires with no operational intuition, increasing errors and churn. ERP systems were built to digitise paperwork, not to make autonomous decisions. Operators are dependent on a role they can no longer hire or retain."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "If Dayjob succeeds, short haul trucking companies will have to use us to be profitable. We will control the pricing that they charge by having the best models for pricing, booking and scheduling in the market. You simply will not be able to be competitive without Dayjob."
      }
    ],
    "url": "https://www.ycombinator.com/companies/dayjob",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/dayjob.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/dayjob-ai",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
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        "user_id": 923810,
        "full_name": "George Postlethwaite",
        "title": "Founder/CEO",
        "founder_bio": "Building Dayjob - autonomous AI agents that run transport operations in real time. Before this, I built Gaea, an ERP for e-waste recyclers. I was an early employee at Deliveroo (acq. Doordash 2025) and launched their UK grocery business, and previously led sales at Otta (LocalGlobe-backed job search platform).",
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        "full_name": "Fred Fooks",
        "title": "Founder/CTO",
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        "url": "https://www.vwssoftware.com/vws-partners-with-ai-scheduling-tool-dayjob/",
        "date": "Jan 30, 2026"
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        "title": "Dayjob: AI Agents for Industrial Logistics",
        "tagline": "Meet Dayjob, AI Scheduling for Waste Trucks",
        "body": "_Hey 👋 We're George and Fred, founders of Dayjob!_ \n\n**What we solved in the UK and are now solving in the US** \\\n\\\nIndustrial logistics plans are still built manually, every single morning. A transport planner sits down at 7am, spends 60 to 90 minutes dragging jobs onto trucks, and the plan is usually wrong by 10am. \n\nOur customers tell us they literally cannot hire and train planners fast enough. It’s a nightmare when one of those planners is off sick or has to go away on vacation. \n\nHumans are being asked to continuously re-optimise hundreds of constraints: vehicle capacity, weight limits, time windows, driver hours, live traffic, all in real time. It's cognitively impossible to do reliably.\n\nIf a fleet can complete just 10 more jobs a day, that's worth millions per year. The opportunity cost of bad scheduling is enormous and almost nobody in this industry has solved it.\n\n<https://youtu.be/GI2HtwWodpc?si=4GbPN1Uj-UnNkDoh>\n\n**What we've built:** Dayjob sits on top of existing ERP software. Our scheduling agent builds a full fleet schedule in about 60 seconds. The same task currently takes a human planner most of the morning.\n\nWe're live with fleets in the UK today, and currently launching in the US.\n\n**Early results:**\n\n* 5 to 10% improvement in fleet efficiency from day one\n* 50% improvement in hitting customer time slots\n* One customer saw an £800K revenue uplift in their first year\n\nWe started in waste management deliberately. It's one of the hardest planning environments in existence: high variability, tight regulatory rules, constant real-time changes. If you can solve scheduling there, you can solve it anywhere in industrial logistics.\n\n**The backstory:** Fred and I met at Oxford 13 years ago. In 2022 we started building ERP software for waste operators. We spent early mornings in depots watching planners work, rode in trucks, sat next to schedulers as they built their routes. \n\nWe pivoted to Dayjob in January 2025. We're now at $496K ARR, growing fast, and scheduling is just our first agent. We have three more covering the full operational workflow launching later this year.\n\n![uploaded image](/media/?type=post&id=100132&key=user_uploads/923810/fc61cfea-692b-4948-a438-9f85635324e2)\n\n**We'd love to connect with:** Anyone in the waste-hauling market or the broader industrial logistics market.\n\nLet’s go 🚛",
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        "full_name": "Julius Lipp",
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    "name": "Trellis",
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    "industry": "B2B",
    "subindustry": "B2B -> Operations",
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        "full_name": "Lodovico Benvenuti",
        "title": "Founder/CEO",
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        "full_name": "Jan Sahagun",
        "title": "Founder/COO",
        "founder_bio": "Hey, I'm Jan.\nEx hockey player who turned his athlete's mindset into sales.\nIn under 2 years in STR tech I closed $2M worldwide and built an STR media platform from scratch.\n\nWe're currently building the future of short-term rentals to give property managers the last piece of software they'll ever need.\nNot another tool with AI bolted on but an AI that builds their software.",
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        "linkedin_url": "https://www.linkedin.com/in/jan-sahagun-escosa?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
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        "id": 100011,
        "title": "Trellis: Autonomous Agents for Short Term Rentals",
        "tagline": "Run all your operations end to end across every tool in your stack.",
        "body": "Hi, we’re [Lodovico Benvenuti](https://www.linkedin.com/in/lodovico-benvenuti-11678224a/) and [Jan Sahagun](https://www.linkedin.com/in/jan-sahagun-escosa?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app), and we’re building Trellis, AI agents that run operations for short-term rental property managers.\n\nOur Launch Video: <https://www.youtube.com/watch?v=Zki0_icE3Xw>\n\n### The problem\n\nShort-term rental operations break as companies scale.\n\nAs you add listings, coordination explodes across guest messaging, cleaning, maintenance, and homeowners. Work ends up spread across 5 to 10 disconnected tools, duck-taped together by burnt-out teams, constantly firefighting issues, with information inevitably falling through the cracks.\n\nQuality drops, reviews follow, and growth stalls.\n\nThis is because managing a property is complex. Let’s say the guest calls about a broken shower. The operator has to identify the reservation in the PMS, search a separate knowledge base for context, collect photos, and create a task in another system.\n\nThen check a workforce tool for availability, reprioritize tasks, dispatch a technician, follow up with the guest, and later log costs, update accounting, and notify the homeowner. All this across 5-10 systems of record.\n\nThe core issue is simple: no software has full operation context to control operations end to end.\n\n### What we built\n\nTrellis provides AI agents that run operations across the entire stack.\n\nThe agent communicates with guests, dispatches and coordinates cleaners and maintenance, files claims and costs, and follows up until issues are fully resolved.\n\nIt connects to PMSs, messaging channels, and internal tools, but more importantly, it maintains full operational context: who the guest is, what property they’re in, what the issue is, what’s already been tried, who is available, what tasks are in progress, and what needs to happen next.\n\nInstead of passing information between tools, the agent owns the entire workflow from first message to resolution and reporting.\n\nWhen agents take over operations, execution becomes consistent and verifiable. That shifts control of the guest experience from marketplaces back to operators, who can now deliver reliable service at scale, build real brands, and own demand.\n\n### Our background\n\nBefore Trellis, Lodo built AI customer service agents for short-term rentals at Conduit (YC W24). He also scaled a property management company to \\~$2M revenue and 150+ listings. With trellis we are now running their operations with 1 person.\n\nJan spent years in the trenches of the STR industry: leading early sales at multiple AI tools for property managers, building an STR tech media platform (STR Tech Report), consulting across the space, attending 20+ industry events, and speaking with thousands of property managers along the way. That journey earned him deep trust and relationships throughout the STR world.\n\n---\n\nIf you run a property management company, we’d love to show you Trellis.\n\n![uploaded image](/media/?type=post&id=100011&key=user_uploads/3088252/1e4e4529-0d4f-433d-bb57-66119f1505da)\n\n",
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        "created_at": "2026-04-22T00:09:17.166Z"
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        "full_name": "Sayan Mitra",
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        "tagline": "Enabling analog circuit designers to tokenmaxx",
        "body": "Hello World!\\\nWe are [Sayan Mitra](https://www.linkedin.com/in/sayanmitra9/), [Atman Kar](https://www.linkedin.com/in/atman-kar/) and [Rithik Jain](https://www.linkedin.com/in/rithik--jain/), the team behind Atrisa!\n\nWe are launching **Atrisa**, an AI agent for analog circuit design - enabling analog circuit designers to tokenmaxx!\n\nAtrisa is the AI-native way to build analog circuits.\n\nRight now, frontier LLMs struggle making analog circuits. Designing industry grade analog circuits relies on “tribal knowledge” and internal company data - which LLMs have never seen.\n\nAtrisa has internalized the intuition of an analog engineer - enabling you to design, understand, and debug analog circuits with natural language!\\\n[https://youtu.be/YupbVdchblk](https://youtu.be/YupbVdchblk?si=HJebBGL3UqALNAXh)\n\n\\\nAtrisa hierarchically reasons about your circuit, finds the right topologies to match your specifications, and does deep-dive debugging and experimentation.\n\nIt takes into context everything an analog engineer would need: Reusability across older designs, possible interference, parasitics, and physical layout context. It can talk to other instances, so you don't get blocked by another engineer’s availability.\n\nAlong with providing a modern chat-based interface, Atrisa fits seamlessly into your existing workflows. You can bring your existing toolkit, PDKs, design docs, and Atrisa will understand and adopt.",
        "url": "https://www.ycombinator.com/launches/QdM-atrisa-agents-for-analog-circuit-design",
        "votes": 13,
        "created_at": "2026-06-02T16:20:45.709Z"
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    "long_description": "Hub is a multimodal lab providing real world data to frontier labs and robotic companies.",
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    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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        "full_name": "Armin Kiani",
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        "user_id": 3035977,
        "full_name": "Tim Sprecher",
        "title": "Founder/COO",
        "founder_bio": "Co-founder @ Hub, real-world training data for frontier labs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tim-sprecher-2a705220a/",
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        "id": 99443,
        "title": "Field Operator - Brazil",
        "url": "https://www.ycombinator.com/companies/hub/jobs/uJPqDL4-field-operator-brazil",
        "location": "SP, BR / State of São Paulo, BR / São Paulo, SP, BR / São Paulo, State of São Paulo, BR / Remote (SP, BR; State of São Paulo, BR)",
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        "id": 114525,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/hub/jobs/ghznA3v-machine-learning-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
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        "id": 103084,
        "title": "Hub: real-world training data for frontier AI labs and robotics",
        "tagline": "Leveraging a global human network to collect data that don’t exist yet.",
        "body": "Hub provides real-world training data to frontier AI labs and robotics companies. We went to 7-figure revenue agreement on data delivery during the last weeks, working with some of the biggest names in AI and robotics.\\\n\\\n**Why now**\n\nThe gap between frontier models is closing, and internet-scale data is largely exhausted. The only edge left is real-world data that humans have to produce. Every lab now wins or loses on its edge cases, and edge cases need specific data captured by specific people: data that doesn't exist anywhere online. Whoever can go collect the right data first ships the better model first. Human labor is half of global GDP, and almost none of it has been recorded yet.\n\n**What Hub does**\n\nWe capture this data through a global network of humans, across all continents. We route and activate the exact people who fit a lab's brief and deliver in days, not the months it takes to source a generic dataset off the shelf. Because we collect the data ourselves, we can attest its provenance, which you can't do for data you didn't capture. Our ML and QA pipelines then verify and enrich it, so we meet the hardest dataset requirements labs throw at us. The moat isn't the data, it's how fast we can go get it.\n\n**Traction**\n\nFrom 5-figure to 7-figure in revenue agreement on successful data delivery. We now work with some of the biggest frontier AI labs and robotics companies in the world.\n\n**The ask**\n\nTwo asks: —> You're building frontier models or robots and data is your constraint. \\\n—> You're a top robotics engineer, a PhD whose research touches robotics or egocentric data, or someone with deep experience at a leading robotics lab, we're hiring. \\\n\\\nReach out here: [founders@hub.xyz](mailto:founders@hub.xyz).",
        "url": "https://www.ycombinator.com/launches/Qoe-hub-real-world-training-data-for-frontier-ai-labs-and-robotics",
        "votes": 1,
        "created_at": "2026-06-15T14:57:21.570Z"
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    "name": "Limrun",
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    "website": "https://lim.run",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Coding agents in the cloud don't work for majority of teams who require native capabilities; they lack XCode for iOS, Emulator for Android, Unity for game development teams. We are on a mission to cloudify every local development utility so that regardless of where it runs, your agent can compose an ideal set of capabilities on the fly so you don't need to run it on your laptop.\r\n\r\nToday, we provide remote services such as XCode, iOS & Android simulators to enable coding agents running in any sandbox to be able to build and iterate over mobile apps, too.\r\n\r\nReplit, Rork, Momentic, Minitap and more agent companies have built mobile development and testing experiences on Limrun platform. Coconote (Quizlet), SorceJobs (W25) and more companies with mobile apps use Limrun with their cloud agents, merging PRs without having to check out the code locally.",
    "one_liner": "Extend cloud sandboxes with iOS, Android and more",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1779230895,
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    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/limrun",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/limrun.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/limrun",
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    "primary_partner": {
      "name": "Harj Taggar",
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    "founders": [
      {
        "user_id": 262589,
        "full_name": "Muvaffak Onuş",
        "title": "Founder/CEO",
        "founder_bio": "Previously at Amazon (intern), SAP, Upbound and QA Wolf. I optimized EMR clusters at Amazon for ML workloads, then worked on Kubernetes at SAP and at Upbound, I was maintainer at Crossplane, open source cloud control plane, and tech lead for provider efforts. At QA Wolf, I founded and led the team that built web & mobile testing sandboxes at global scale.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mmonus",
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        "id": 110499,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/limrun/jobs/SvYNO1K-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $300K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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      {
        "id": 111593,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/limrun/jobs/Bgetg6K-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "experience": "3+ years",
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        "id": 114326,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/limrun/jobs/EK9RXio-founding-engineer",
        "location": "Istanbul, İstanbul, TR",
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        "title": "Developer Relations Engineer",
        "url": "https://www.ycombinator.com/companies/limrun/jobs/j8ucUHG-developer-relations-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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      {
        "id": 101736,
        "title": "Limrun - Your cloud agent can build mobile apps now",
        "tagline": "Extend your cloud agent with XCode, Android and more",
        "body": "TLDR; We provide remote XCode, iOS &amp; Android Simulators and more to extend cloud agents’ capabilities. Replit, Rork, Momentic AI, x1 and many others built on our cloud and now we open it up to all mobile dev teams so you can use your favorite cloud agent for iOS and Android apps too.\n\nIf you have a mobile app, let’s talk! <https://cal.com/team/limrun/mobile-app-dev-in-cloud>\n\n<https://youtu.be/fYkRpsyPLkQ>\n\n---\n\nWhen code is written by humans, it lives on our laptops and PCs, but that's changing now that teams of agents are writing code alongside us. Today, code written by agents is moving to the cloud: Cursor Cloud, Devin AI, Codex Web, in-house solutions with sandboxes and more.\n\nNow the problem is that all these cloud agents have Linux-based sandboxes as opposed to our laptops that we bought specifically for coding. If you want to use sandboxes for iOS development, you don’t have XCode. If you have an Android app, no emulator that works well. There’s no properly priced GPU option for running Unity either.\n\nLimrun is building a cloud that provides these apps as remote services running in the environments they were designed to while letting your agents use them remotely from your favorite sandbox. All you need is a single skill file to teach your agent how to use our remote services. That’s it. No change of sandbox or agent.\n\nToday, we provide 3 services:\n\n* XCode: With a single CLI call, your code is synced, a build is triggered and your agent gets the logs to iterate.\n* iOS Simulator: Your agent can request a simulator to test the app with built-in AX tree or your favorite framework like Appium/Maestro/Detox etc.\n* Android Emulator: Similarly, it can request an emulator that will be proxied via an “adb” tunnel so it’s as if locally running.\n\nThese are not full sandboxes. We provide the highest level interface so your agent can orchestrate what it needs remotely and we optimize the heck out of the rest; hardware encoders for streaming, warm NVMe caches for building, below 1s boot times, on-demand recording, asset storage and more.\n\nHere is an example flow where Cursor Cloud (or an agent in E2B/Daytona/Docker etc) builds an iOS game in Swift:\n\n* Agent takes the issue from Linear and spins up its sandbox.\n* Writes the Swift code and calls the “lim xcode build .” command, streaming logs back.\n* Iterates over compiler errors.\n* Requests an iOS simulator with “lim ios create” and attaches it.\n* Plays the game with batch actions that provide millisecond precision.\n* We return the recording that it reviews, sees the bugs, implements the fixes.\n* Finally, records a demo video and constructs a preview link to drop on the PR.\n\nIt goes from Linear issue to a fully tested PR with demo and preview link that opens in the browser with realtime streaming or you can install to your device over WebUSB without downloading anything.\n\nIf you have a mobile app, let’s talk\\![ https://cal.com/team/limrun/mobile-app-dev-in-cloud](https://cal.com/team/limrun/mobile-app-dev-in-cloud)",
        "url": "https://www.ycombinator.com/launches/QSu-limrun-your-cloud-agent-can-build-mobile-apps-now",
        "votes": 15,
        "created_at": "2026-05-21T20:49:26.104Z"
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    "name": "GodHands",
    "slug": "godhands",
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    "website": "https://godhands.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "GodHands learns how your teams actually work from the apps they already use, capturing the steps, decisions and exceptions that never get written down. It turns them into knowledge and playbooks, gives people and AI agents the answers, and builds agents that do the work the same way. Teams use GodHands to run operations, onboard new hires, hand over roles, integrate acquisitions and automate repetitive work.",
    "one_liner": "Turn how your team works into playbooks and agents.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1777151399,
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    "batch": "Fall 2026",
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    "url": "https://www.ycombinator.com/companies/godhands",
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    "city": "San Francisco",
    "country": "US",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Sai Vamshi Batchu",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of GodHands. We learn how companies actually operate and turn that knowledge into playbooks and answers for people and AI agents. Previously a quantitative researcher at Graviton, a high-frequency trading firm. IIT Kharagpur CS.",
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        "linkedin_url": "https://www.linkedin.com/in/sai-vamshi-129256194/",
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      {
        "user_id": 3245390,
        "full_name": "Aditya Bommakanti",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of GodHands. We capture how work gets done, including the decisions and exceptions, so people and AI agents can carry it forward. Previously built low-latency systems at Graviton, a high-frequency trading firm. Research at UTokyo and Aarhus University. Published research at NeurIPS. IIT Delhi CS.",
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      {
        "id": 122209,
        "title": "GodHands: Agents that learn by watching your best people",
        "tagline": "The know-how your team runs on was never written down. GodHands learns it from the work itself.",
        "body": "We're[ Sai Vamshi](https://www.linkedin.com/in/sai-vamshi-batchu-129256194/) and[ Aditya](https://www.linkedin.com/in/aditya-bommakanti-6b035321a/), IIT engineers from high-frequency trading, building[ GodHands](https://godhands.ai).\n\n**TL;DR:** GodHands learns how tasks really get done across apps, no integrations required, and turns it into playbooks your team and agents follow. Ops, support and sales teams can save millions in lost know-how and hours of repetitive work every week. Reach out for a demo!\\\n<https://youtu.be/CJBsjbX1MKY>\n\n**❌ The problem**\n\nAt our previous company, a key person left. Nobody knew how they did their work. The team kept calling them long after they'd gone, and it took months to get back on track.\n\nEvery company has people like that. None of what they know is written down.\n\nThey know how to handle the refund that doesn't fit the policy, which customer gets a call instead of an email, and which spreadsheet is actually right.\n\nSo when they leave, teams fall back on handover docs, SOPs nobody updates, and weeks of shadowing.\n\nToday's AI doesn't fix this. Agents know the internet, not how your best people work. AI knowledge tools (\"company brains\") read your docs and Slack, so they only know what someone wrote down.\n\n**✅ The solution**\n\n* **Never lose know-how when people leave.** GodHands learns how tasks get done across every app, including the steps, the decisions, and the exceptions. Nothing to integrate to start learning.\n* **Hand over work in days, not weeks.** GodHands turns that work into playbooks with sources, kept up to date, so whoever takes over does it the same way.\n* **Agents do the work.** GodHands follows those playbooks in any app, like Slack, Zendesk, Gmail, Jira, and Salesforce. Your existing agents can use them too, so your team gets hours back every week.\n* **Get new hires productive faster.** They ask GodHands how things are done and get answers from how your best people actually work, with sources.\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/6aa30075-0890-4e4e-b43c-3c2db71719d9)\n\nBuilt for ops, sales, and CX teams, logistics and retail operators, PE and M&amp;A teams taking over a company, and any manager whose best person just handed in their notice.\n\n**The team**\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/2738fb55-3098-428c-96ad-e59b216115dd)\n\n**Sai Vamshi Batchu (CEO)** was a quantitative researcher at Graviton, India's largest HFT firm. IIT Kharagpur, CS.\n\n**Aditya Bommakanti (CTO)** built low-latency systems at Graviton, India's largest HFT firm and has published research at NeurIPS. IIT Delhi, CS.\n\nWe spent years building systems that learn from data and act on it. Now we're building one that learns from your best people.\n\n**Our ask**\n\nLet's talk if:\n\n* You want to understand how your team works, including the knowledge in people's heads\n* You want smarter agents to take on repetitive work, done the way your best people do it\n* Someone critical is leaving, or you're taking over a team or company\n\n[**Book a time**](https://calendly.com/founders-godhands/intro-call) or email [**founders@godhands.dev**](mailto:founders@godhands.dev).\n\n**Know a Head of Ops, VP of Support, or a PE operating partner?** We'd love an intro.",
        "url": "https://www.ycombinator.com/launches/Vn7-godhands-agents-that-learn-by-watching-your-best-people",
        "votes": 11,
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    "name": "Superlog",
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    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Sentry and Datadog dump a stream of alerts. Most are duplicates, most lack context, and you still have to solve the issue yourself.\r\n\r\nSuperlog is AI-native observability that's meant not to be opened. A wizard scans your repo and installs proper OpenTelemetry instrumentation, then runs daily to keep up as you ship new code. When something breaks, Superlog groups the errors into a single incident, investigates with full context (logs, traces, recent deploys, past Slack threads), and posts one mergeable PR in Slack. You merge it, ignore it, or open it as a Claude Code session and modify it.\r\n\r\nTelemetry is vendor-neutral, so you keep every log, trace, and metric we install, even if you leave.",
    "one_liner": "Make software self-healing",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1775225049,
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      "Enterprise Software",
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    "batch": "Spring 2026",
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/superlog",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/superlog.json",
    "year_founded": 2026,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/superlogyc",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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        "full_name": "Nicolò Magnante",
        "title": "Founder/CEO",
        "founder_bio": "ex-BCG, math olympiad winner, scaled two startups to millions in ARR. now working to make the world bug-free.  \n\nlife goals:\n1 - build a decacorn\n2 - get italy to top 5 ww gdp\n3 - win an oscar",
        "is_active": true,
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        "full_name": "Arseniy Shishaev",
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        "id": 101239,
        "title": "Superlog: The self-installing observability tool that fixes your bugs",
        "tagline": "A wizard sets up your telemetry every day. An agent investigates incidents and ships mergeable PRs.",
        "body": "Hey YC! We're Nicolò and Arseniy, co-founders of Superlog ([superlog.sh](https://superlog.sh/)).\n\n**TL;DR:** Superlog is the observability tool you're not supposed to open. A wizard scans your repo and instruments it with OpenTelemetry, and re-runs daily to keep your logs, alerts, and dashboards in sync with your code. When something breaks, an agent investigates with full context and posts one mergeable PR per incident into Slack.\n\n<https://www.youtube.com/watch?v=AeX3pnHCMHg>\n\n## **The Problem**\n\nArseniy spent years at Datadog, getting paged during the night to debug production incidents. In our first startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. \n\n* **Setup never ends.** Proper telemetry takes days of manual work and breaks the moment you ship new features. Half the dashboards end up empty or outdated.\n* **Alert fatigue is constant.** Sentry floods Slack with duplicates and no context. The Saturday #ops ping is the worst feeling of the week.\n* **The bill climbs.** Datadog invoices keep growing while engineers still spend hours configuring dashboards, chasing three AWS metrics that disagree, and copy-pasting stack traces into Claude at 11pm.\n\n## **Our Solution**\n\n**1. Telemetry that sets itself up.** Tell your agent:\n\n```\nRun npx skills add superloglabs/skills --all and use the skills to install Superlog in this project\n```\n\nThis skill instruments your code with native OTel SDKs: proper semantic conventions, service and environment tagging. We cover all failure modes, endpoint performance, usage per tenant, and LLM/upstream cost (by callsite, tenant, and model). We run observability check-ins that keep adding logs, alerts, and dashboards as your code grows.\n\n**2. An agent that investigates and ships PRs.** Errors get prioritised and grouped into incidents. The agent investigates with full context (logs, traces, metrics, recent deploys) and either produces a short tested PR, or posts its findings and pulls in the engineers who own the system (based on docs, prior investigations, Slack threads). One mergeable PR per incident in Slack. Merge it, ignore it, or open it as a Claude Code/Codex session and tweak.\n\n**3. No alert fatigue.** Our custom eval setup makes sure incident summaries in your #ops channel are dense and correct, with severity and impact upfront. Every LLM-enhanced metric ships with a confidence score, so wrong guesses don't get boosted.\n\nThe telemetry you get is vendor-neutral: you keep all the OTel logs, metrics, and traces we install, even if you choose to switch providers.\n\n## **Where We're Going**\n\nEvery engineering team in the world burns nights and weekends debugging production. We want to delete that loop. Observability should install itself, alert intelligently, and fix what it can.\n\n## **About Us**\n\n* **Nicolò (CEO)** — ex-BCG, math olympiad winner, scaled two startups to millions in ARR, with international enterprise contracts at Bluco (McDonald’s, Volkswagen, Dufry, etc).\n* **Arseniy (CTO)** — coding since 12yo, won school olympiads, worked on high-performance data systems at Datadog and built engineering teams from scratch at Bluco.\n\n![uploaded image](/media/?type=post&id=101239&key=user_uploads/1660276/b630a0c3-d186-4f4c-95c0-6832f7893f47)\n\n## **Our Ask**\n\nWe'd love intros to:\n\n* Engineering leaders drowning in Sentry alerts or Datadog bills\n* Startups that rolled their own observability and want to throw it away\n\n**Try it:** [superlog.sh](https://superlog.sh/)\\\n**Email:** [nicolo@superlog.sh](mailto:nicolo@superlog.sh)",
        "url": "https://www.ycombinator.com/launches/QKt-superlog-the-self-installing-observability-tool-that-fixes-your-bugs",
        "votes": 69,
        "created_at": "2026-05-12T14:37:58.734Z"
      }
    ]
  },
  {
    "id": 31386,
    "name": "Interfaze",
    "slug": "interfaze",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbb1bb306037fdebdde3c7b1d20cb434879fb79.png",
    "website": "https://interfaze.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Interfaze is an AI model built on a new architecture that merges specialized DNN/CNN models with transformers for tasks that require deterministic output and high consistency like Document intelligence, Object detection, Classification, Audio understanding and more.\r\n\r\nInterfaze outperforms large lab models like Gemini flash, Claude Sonnet and the GPT-5.4 mini series\r\n\r\nArchitecture paper: https://arxiv.org/abs/2602.04101\r\nFull open benchmarks: https://interfaze.ai/leaderboards",
    "one_liner": "AI model built for high accuracy deterministic tasks",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1774812127,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/interfaze",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/interfaze.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/interfaze-ai",
    "x_url": "https://x.com/interfaze_ai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/jigsawstack",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbb1bb306037fdebdde3c7b1d20cb434879fb79.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e1b4669e7ba400f6249ca5fc9776423b8b2478f7.png"
    ],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1618136,
        "full_name": "Yoeven D Khemlani",
        "title": "Founder/CEO",
        "founder_bio": "8 years in edge computer vision research | 2nd time founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yoeven",
        "x_url": "https://x.com/yoeven",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48506dcf75872046a6d42638b3e2a07552e1a7ca.jpg"
      },
      {
        "user_id": 2229538,
        "full_name": "Harsha Vardhan Khurdula",
        "title": "Founder/CTO",
        "founder_bio": "Building https://interfaze.ai",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/harsha-vardhan-khurdula-99b400183/",
        "x_url": "https://x.com/khurdula",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9136e9e55a80d9ebea288f0e36dc19b8d9bd272f.jpg"
      }
    ],
    "jobs": [
      {
        "id": 107799,
        "title": "Applied AI Engineer & Researcher",
        "url": "https://www.ycombinator.com/companies/interfaze/jobs/LYxZ0kI-applied-ai-engineer-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $350K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "C++",
          "Rust",
          "Torch/PyTorch",
          "Docker",
          "CUDA",
          "Transformers"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 99878,
        "title": "Interfaze - Deterministic AI for developer tasks: OCR, Object detection, Web scraping, STT, Classification and more",
        "tagline": "A new model architecture that outperforms SOTA LLMs on deterministic tasks that require high consistency and accuracy",
        "body": "![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/2310c230-6719-4913-ba16-43c8cab6c2d9)\n\n**tldr:** LLMs are built for human-in-the-loop tasks which are highly non-deterministic in nature. We built an AI model for tasks that require high accuracy and verifiable data you can build workflows around.\n\nInterfaze is an AI model built on a new architecture that combines specialized DNN+CNN models with transformers for developer tasks that require deterministic output and high consistency like:\n\n* Vision (OCR, Object detection, GUI) \n* Structured web extraction\n* Audio (STT, Diarization, Audio semantics)\n* Classification (Image, Text)\n* Web search and more\n\n**Try here:** <https://interfaze.ai>\n\nIf you’ve ever tried to build a production application using LLMs for tasks like OCR, web scraping, or strict structured data extraction, you already know the pain: hallucinated keys, broken JSON, hidden inaccurate data and massive latency spikes.\n\nYou usually end up chaining multiple open source models together just to get a reliable result but face challenges with scaling or being stuck with outdated models from providers like AWS, Azure and GCP.\n\n**Model comparison**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/b270b0f5-76f2-4d11-808a-d31f7e977b07)\n\n_Check out the latest benchmarks on our site [here](https://interfaze.ai)._\n\n**OCR example for KYC**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/619ba060-a307-46b5-8101-601b03aaa1c4)\n\nBeyond higher accuracy, now you get additional data that allows you to both validate your data and build reliable pipelines as a developer.\n\nA subset of the additional metadata you get when you run an OCR task 👇\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/6f8e5580-492b-447f-bed4-c2cdc4470750)\n\n_Note: the confidence score value can be used to build verifiable systems. bounding boxes can be used to trace items for consistent tasks with guessing._\n\n**Web scraping for LinkedIn**\n\nWe all know how hard it is to scrape sites like LinkedIn, whether you are switching proxy providers, rewriting your scripts, or even getting your IP banned.\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/7ad5d97e-a076-4698-91bd-5da3dcd5ff22)\n\n\nInterfaze is trained to work with the browser infra beyond just looking at pure html like traditional LLMs. Allowing it to learn new work around, rotate proxies when needed and figure out how to scrape any site under 30 seconds.\n\n**GUI/Computer use - Filling a form**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/cc344350-9e10-446c-89ee-f6c8db3d5602)\n\n**Object Detection - Construction site equipment check**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/eb58811e-5a6d-4563-b666-538255f5b630)\n\n**Architecture**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/08c716d5-e2b5-487e-bade-c469013f1a5a)\n\nWe spent a year researching a new architecture to solve this problem. We just couldn’t accept that attention is all you need, we think you need a new interfaze 😉\n\nFull paper: <https://arxiv.org/abs/2602.04101> (Accepted into IEEE CAI 2026)\n\n**Team**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/38e298b2-92cd-4476-8da0-913ba315bb75)\n\nI've been a developer and ML engineer for the past 8 years, working with ML models on the edge for real-world experiences like motion capture and navigation mapping to backend workflows like OCR, Web scraping pipelines, and more. Socials: [LinkedIn](https://www.linkedin.com/in/yoeven/?skipRedirect=true), [X](https://x.com/yoeven)\n\nHarsha has over 5 years of experience specializing in computer vision, reinforcement learning for SLMs, and AI research with multiple peer-reviewed papers. Socials: [LinkedIn](https://www.linkedin.com/in/harsha-vardhan-khurdula/), [X](https://x.com/khurdula)\n\nInterfaze X: <https://x.com/interfaze_ai><https://interfaze.ai/>\\\nInterfaze LinkedIn: <https://www.linkedin.com/company/interfaze-ai>\n\nSite: [https://interfaze.ai](https://interfaze.ai/)\n\nDocs: <https://interfaze.ai/docs>",
        "url": "https://www.ycombinator.com/launches/Pyw-interfaze-deterministic-ai-for-developer-tasks-ocr-object-detection-web-scraping-stt-classification-and-more",
        "votes": 32,
        "created_at": "2026-04-20T15:59:34.348Z"
      }
    ]
  },
  {
    "id": 31388,
    "name": "Elyra",
    "slug": "elyra",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dfc0518b0601b15bf131b045d7c9085b3ab4ac5e.png",
    "website": "https://www.elyrasystems.com/",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Elyra is an AI reservation system for restaurants. Instead of missing 40% of incoming phone calls and taking days to reply to emails, leaving over $100,000 in bookings on the table every year, restaurants get AI agents that answer every call and email instantly, 24/7, connected to a reservation system that optimizes table placements in real time so empty seats get filled with the right guests.\r\n\r\nFelix and Alan met in primary school in Stockholm and have been building things together ever since.\r\n\r\nWe launched with a single restaurant and within weeks they hit record occupancy, bookings they used to miss were suddenly being captured automatically, and empty Tuesday nights started filling up. Today we power top restaurants groups. \r\n\r\nThere are over 1 million restaurants in the US and Europe alone. The average restaurant loses $100K+ a year to missed calls and slow email replies. At our current pricing, that's a $10B+ market opportunity, and we're the only system that handles the call, the email, and the table allocation in one place.",
    "one_liner": "AI Reservation System for Restaurants ",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1776156708,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Sweden",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/elyra",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/elyra.json",
    "year_founded": null,
    "city": "Stockholm",
    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/elyrasystems",
    "x_url": "https://x.com/elyrasystems",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dfc0518b0601b15bf131b045d7c9085b3ab4ac5e.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 2444964,
        "full_name": "Felix Odeberg Glasenapp",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Elyra. Studied Engineering Physics at KTH. Built Elyra after seeing restaurants lose hundreds of thousands in bookings to missed calls and slow email replies.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/felixoglasenapp/",
        "x_url": "https://x.com/FelixOG_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c4c01cc9d3d06dfcd9484ae22bfac083f5890cf.jpg"
      },
      {
        "user_id": 2774754,
        "full_name": "Alan Mando",
        "title": "Founder",
        "founder_bio": "Co-Founder at Elyra (YC P26)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/awmando/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3729f963bf9dbc62035bbd0bd25807a78a660f9e.jpg"
      }
    ],
    "jobs": [
      {
        "id": 105845,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/elyra/jobs/butuYZH-founding-engineer",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "TypeScript"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101421,
        "title": "Elyra | AI Reservation System for Restaurants",
        "tagline": "AI Agents handling every call, email, and booking for restaurants.",
        "body": "\\\n**Elyra is the AI reservation system for restaurants.**\n\nWe’re building AI agents that answer every phone call and email instantly, connected to a reservation system that optimizes table placements in real time. Already powering top restaurant groups.\n\n[**https://youtu.be/dqK4bC1eBVM**](https://youtu.be/dqK4bC1eBVM)\n\n[Book a demo →](https://www.elyrasystems.com/demo)\n\n**The Problem**\n\nImagine running a store where 4 out of every 10 customers walk up, find the door locked, and leave.\n\nThat's how restaurants operate today.\n\n40% of incoming phone calls go unanswered. Emails sit for days. This leads to high-value bookings getting lost: large groups, private events, special occasions, corporate dinners. The bookings that fill slow Tuesday nights and turn an average month into a great one.\n\nRestaurants run on thin margins and one missed call can mean a €2,000 group booking lost to a competitor. Over a year, the average mid-sized restaurant leaves more than $100,000 on the table simply because no one answered in time.\n\nYet the entire industry still relies on waiters manually handling calls and emails during service. Staff get overwhelmed, emails get buried, and the reservation systems on the market do nothing to fix it. They're glorified calendars.\n\n**The Solution**\n\nElyra is the AI reservation system for restaurants. Three things, working together:\n\n* **Voice agent:** Answers every phone call. Handles all reservations, modifications, and questions about the menu, dietary requirements, and policies.\n* **Email concierge:** Replies to every email instantly, in the restaurant’s tone of voice. Large groups, special requests, and follow-ups handled.\n* **Smart table allocation:** Fit more guests in the restaurant. Optimizes table placements in real time while placing guests at the tables that fit them best.\n\nEvery call, email, and booking becomes a data point that makes the next visit better, turning first-time guests into regulars.\n\n**Why It Matters**\n\nHere's what our users say:\n\n_\"Some regulars thought we hired a new waiter.\"_\n\n_\"We made back a year's cost in two weeks.\"_\n\n_\"Aha, this is what AI should feel like.\"_\n\nWaiters can finally focus on the guests in front of them instead of a ringing phone. Managers see the bookings they used to lose close automatically. Owners get empty tables filled, margins back, and guests returning.\n\nElyra is already live across multiple restaurant groups, with new venues seeing record occupancy within weeks of launch.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=101421&key=user_uploads/2444964/31471be3-73f3-43ef-bf57-565b801d42cc)\n\nElyra was founded by **Felix Odeberg Glasenapp** and **Alan Mando**, who met in primary school in Stockholm and have been building things together ever since. Felix studied Engineering Physics at KTH. Alan studied Business at WU Vienna.\n\nTo build Elyra, the founders spent weeks inside restaurants, taking phone calls, standing at the waiters stand, and watching service unfold. Every product decision came from that.\n\n**See Elyra in Action**\n\n[Book a demo ](https://www.elyrasystems.com/demo)|[ ](https://elyrasystems.com)[elyrasystems.com](http://elyrasystems.com)",
        "url": "https://www.ycombinator.com/launches/QNp-elyra-ai-reservation-system-for-restaurants",
        "votes": 13,
        "created_at": "2026-05-16T18:46:24.476Z"
      }
    ]
  },
  {
    "id": 31395,
    "name": "Deep Interactions",
    "slug": "deep-interactions",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2150b2f6e149aef04ef65b7381c3bd0b77037221.png",
    "website": "https://deepinteractions.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Deep Interactions is a collaborative AI builder. We don't leave you with a spaghetti mess of a code. We bring product intelligence and power the context layer that enables your team to build in sync - saving companies tokens, time, and nerves. You give us a problem and we ship a working AI product in the same afternoon.\r\n",
    "one_liner": "Collaborative AI app builder for teams",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1778970590,
    "tags": [
      "Developer Tools",
      "Collaboration",
      "Design Tools",
      "No-code",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/deep-interactions",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/deep-interactions.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/deep-interactions",
    "x_url": "https://x.com/deepintxns",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2150b2f6e149aef04ef65b7381c3bd0b77037221.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 3138588,
        "full_name": "Sruthi Viswanathan",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Deep Interactions (YC P26). PhD in Computer Science from Oxford. Prev. Built : AI Trainer as CTO at The Spaceship AI, AI Scientist at Autoscience Institute & AI Therapist at Limbic AI. Was Research Scientist at NAVER LABS Europe and Google. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sruvis",
        "x_url": "https://x.com/_sruvis",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4593a7424e64f74828b20e0f15f5d406e007a3e.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 101487,
        "title": "Deep Interactions — Collaborative AI Builder for Teams",
        "tagline": "We turn messy ideas, data, and agents into shipped products before your team logs off.",
        "body": "Hello! I'm [Sruthi Viswanathan](https://www.linkedin.com/in/sruvis/), founder of [Deep Interactions](https://www.deepinteractions.ai).\n\n### TL;DR\n\n### **Deep Interactions is a collaborative AI builder for teams. We turn messy ideas, data, and tools into working AI products in a single afternoon — so companies stop burning months and millions on pilots that never ship.**\n\n**_Ask:_** Intros to CEOs, CTOs, COOs, CFOs, or Heads of AI with an initiative stuck in pilot purgatory — especially in healthcare, fintech, consumer, applied AI, and ops-heavy businesses. → [sruthi@deepinteractions.ai](mailto:sruthi@deepinteractions.ai)\n\nLaunch video: <https://youtu.be/AuSnAHZP2lM>\n\n### The Problem\n\nProduct development hasn't changed in 20 years. Write a PRD, throw it at engineering, hope it matches what users actually need.\n\nNow teams have layered AI on top: vibe-coding through the night, stitching prompts, tools, and agents. Same problem, faster and more expensive:\n\n* Burned tokens\n* Burned out teams\n* Spaghetti code that still misses the customer\n\n**95% of businesses walk away from their AI pilots. Hundreds of billions in wasted AI spend, every year.**\n\nThe bottleneck isn't models or prompts anymore. It's shared understanding of the customer, the product, and the codebase. Until now, there was no way to keep humans, agents, and code in sync as a product is being built. With today's reasoning models and multi-agent orchestration, couple with situated context, there is.\n\n### Our Solution\n\nYou bring the problem. We ship the product the same afternoon — alongside your team, inside the tools they already use (Slack, Figma, GitHub, Vercel, Supabase, You name it).\n\nWe don’t leave you with a spaghetti mess of a code. We bring product intelligence and power the context layer that enables your team to build in sync.\n\nAlready live with **12 businesses and 50k+ real-world usage hits.** Saving companies months of work and millions in AI spend.\n\n![uploaded image](/media/?type=post&id=101487&key=user_uploads/3138588/8b1080f6-4249-41e9-856c-626cee704905)\n\n\n### **How can you help?**\n\nIf you can warmly introduce us to any of the following, I'd be grateful:\n\n* **Operators** with a stuck AI initiative (Heads of AI, CPOs, CTOs, VPs of Engineering)\n* **Healthcare &amp; wellness** companies looking to ship patient- or clinician-facing AI\n* **Consumer** companies (dating, fitness, fertility, social) ready to put AI in the product, not just the pitch deck\n* **Applied AI startups** burning tokens on coding agents that don't ship\n* **Angels and operators** who've shipped AI products at scale\n\nPlease contact me at [sruthi@deepinteractions.ai](mailto:sruthi@deepinteractions.ai)\n\n### Team\n\nI'm a Human-Centred AI researcher and DPhil in Computer Science at Oxford, with cutting-edge experience across Big Tech, AI labs, startups, and academia — spanning software engineering, UX, ML, and AI research. Recognised by 100 Women in AI (2025).\n\nAround me: a founding AI designer reshaping how humans and agents collaborate, a founding engineer with decades in production systems, and GTM operators who's built customer success from zero. Advised by leading Human-Centred Computing professors, AI scientists, and brilliant Angels.\n\nI started Deep Interactions because I kept watching brilliant teams ship broken AI. The future of AI work isn't more prompts — it's better human-AI collaboration.\n\nBook a call → 🕷️ [www.deepinteractions.ai](http://www.deepinteractions.ai)\n\n![uploaded image](/media/?type=post&id=101487&key=user_uploads/3138588/0004eb4a-4f58-4ffe-849a-c746c2d9c01c)\n\n",
        "url": "https://www.ycombinator.com/launches/QOt-deep-interactions-collaborative-ai-builder-for-teams",
        "votes": 98,
        "created_at": "2026-05-18T03:36:32.000Z"
      }
    ]
  },
  {
    "id": 31398,
    "name": "Pavoot",
    "slug": "pavoot",
    "former_names": [
      "Pavoot (formerly capturecore)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/085aa6b975fc26df4bd975cbb1ee82cc22f514a2.png",
    "website": "https://pavoot.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pavoot is an AI event manager for companies that run in-person customer events.\r\n\r\nMore and more companies are investing in dinners, summits, and community events because relationships drive revenue. But today, running events means sourcing attendees, sending invitations, hosting the event, and then manually digging through notes, emails, and spreadsheets afterward to figure out who attended, what was discussed, who is a strong lead, and who should be followed up with. Most teams either send generic \"thanks for coming\" emails or never properly capture the value created during the event.\r\n\r\nPavoot replaces this fragmented workflow with a single AI system that keeps every attendee, interaction, conversation, and follow-up connected in one place, making relationship-driven growth scalable.\r\n\r\nGohar and Ana met while studying Computer Science at ETH Zurich. Gohar is a six-time Swiss chess champion and was the youngest member of Switzerland’s national chess team at age 13. Ana won more than 20 medals in scientific Olympiads, ranked 1st in CS at Latin America’s most competitive university, and built internal AI systems used by hundreds of data scientists at some of the largest banks in Latin America before moving to ETH Zurich for AI research.\r\n\r\n===\r\n\r\nBook a demo: pavoot.com",
    "one_liner": "AI Event Manager for in-person events",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1778084784,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/pavoot",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/pavoot.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pavoot/",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2780820,
        "full_name": "Gohar Tamrazyan",
        "title": "Founder",
        "founder_bio": "6× Swiss Chess Champion by age 16, youngest member of Switzerland's national chess team at age 13. Studied Computer Science @ ETH Zurich, one of the top 5 universities in the world for CS. Speak 7 languages.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gohar-tamrazyan-401860293",
        "x_url": "https://x.com/gohar_tamrazyan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3796bf138c84cdbf61a49aa95c690d15682aa68.jpg"
      },
      {
        "user_id": 1128837,
        "full_name": "Ana Yoon Faria de Lima",
        "title": "Founder",
        "founder_bio": "20+ Scientific Olympiad medals. CS at ETH Zurich. Ranked 1st in Computer Science at USP, the most competitive university in Latin America (both in the entrance exam and in my graduating class). Previously an AI Engineer at BTG Pactual and Itaú Unibanco.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ana-yoon-faria-de-lima",
        "x_url": "https://x.com/anayflima",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb80ce47b4f656474ee36bb60910872a233a9c42.jpg"
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    "news": [],
    "launches": [
      {
        "id": 100894,
        "title": "Pavoot: Create event experiences that convert",
        "tagline": "AI that turns events into pipeline",
        "body": "**TL;DR**\n\nPavoot is an AI agent for events that helps marketing and sales teams source the right attendees, personalize each guest’s experience, and turn events into pipeline.\n\nCompanies spend millions on events because relationships drive revenue. Yet most interactions are never captured, event experiences remain generic, and standard follow-ups fail to convert high-potential attendees.\n\n**Ask:** Tell us what your event is trying to achieve. We’ll help you bring the right people, organize the event around them, and turn those relationships into pipeline: <https://cal.com/team/pavoot/30min>\n\nOur Launch Video: <https://youtu.be/SvJtGNtOS50>\n\n## **Problem**\n\nWhen companies organize events, they keep running into the same problems:\n\n* attendee sourcing is manual and fragmented\n* the best leads are hard to identify from hundreds of interactions\n* post-event follow-up takes days or weeks\n* CRM data is incomplete\n* marketing and sales work across tools that do not talk to each other\n* personalization doesn’t scale\n* nobody has a clear picture of event ROI\n\n## **Solution**\n\nTell Pavoot the goal of your event.\n\nPavoot helps you bring the right people into the room, create experiences around what they care about, and turn every conversation into next steps.\n\n### **Before the event, Pavoot...**\n\n* Identifies attendee profiles most likely to convert\n* Enriches each profile with CRM context and public data\n* Sends personalized invitations that feel relevant, not generic\n\n### **During the event, Pavoot...**\n\n* Organizes personalized meetups, sessions, lunches, and networking experiences\n* Helps teams understand exactly who is in the room \n* Captures important conversations and insights in real time\n\n### **After the event, Pavoot...**\n\n* Identifies the top leads from hundreds of interactions\n* Generates personalized follow-ups based on real conversations\n* Turns interactions into meetings and pipeline\n* Syncs engagement and context into your CRM.\n\n**Turn events into personalized customer journeys**. If your company hosts events and cares about ROI, we should talk: <https://pavoot.com/>\n\n![uploaded image](/media/?type=post&id=100894&key=user_uploads/1128837/a7bc19e4-dd6d-4bd0-a3c6-788dd47914f5)\n\n",
        "url": "https://www.ycombinator.com/launches/QFK-pavoot-create-event-experiences-that-convert",
        "votes": 183,
        "created_at": "2026-05-06T17:23:03.669Z"
      }
    ]
  },
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    "id": 31402,
    "name": "Standout",
    "slug": "standout",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cae3b4c599e9e6ff92522ffbf541670c1a97669.png",
    "website": "https://standout.work",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Standout gives every talent and company an autonomous agent that represents them, assess the other side, and makes intros when it matters.\r\n\r\nWhy it matters? Because this is hiring today:\r\n- Talent use AI to apply to 100s of jobs - this is spam.\r\n- Founders/Recruiting send 100s of AI-generated messages to hire the same talent - this is spam.\r\n\r\nThis has to stop.\r\n\r\nTalent stays fully anonymous until they accept an intro. The best way for passively exploring the market and not missing a life changing opportunity.\r\n\r\nIn 1 month, 10k talent / 60 companies / 100 intros.",
    "one_liner": "Agentic hiring marketplace",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1773415057,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Recruiting and Talent"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/standout",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/standout.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/standoutwork",
    "x_url": "https://x.com/standoutwork",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cae3b4c599e9e6ff92522ffbf541670c1a97669.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 2886794,
        "full_name": "Alexis Aftalion",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Standout. \nPreviously launched Zealy a linear for discord communities. Scaled it to 1.5M MAU and $3M ARR in 12 months. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexisaftalion",
        "x_url": "https://x.com/alexisaftalion",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27a8f4f2414687455fd2b531a9e0b54a982bc62f.jpg"
      },
      {
        "user_id": 1349620,
        "full_name": "Witold de La Chapelle",
        "title": "Founder/CRO",
        "founder_bio": "Co-Founder & CTO @ Standout\nBuilt a jobboard with 100k MAU, ex-Engineer @ Dropbox, Samsara, Chime",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/witold-dlc/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b88168a15c629ba6eeac416dd6b5b416cc51612.jpg"
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    ],
    "jobs": [
      {
        "id": 94229,
        "title": "Founding AI Product Engineer",
        "url": "https://www.ycombinator.com/companies/standout/jobs/IHasdYq-founding-ai-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $240K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 102879,
        "title": "Founding Sales / Talent Scout",
        "url": "https://www.ycombinator.com/companies/standout/jobs/qyvBuwy-founding-sales-talent-scout",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$170K - $220K",
        "equity_range": "0.10% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 102530,
        "title": "Standout - A Talent Agent For Builders",
        "tagline": "An autonomous agent doing intros between talent and startup founders from 1 single command",
        "body": "**TL;DR:** Standout is a CLI that assesses how you actually build, then gets you introduced to the startups worth your next move.\n\nYou don't upload a resume. \n\nYou open your terminal, type 1 command **‘npx standout’** and show your work. \n\nThe CLI evaluates how you think, build, and debug, and turns that into a verified signal of what you can really do. When a role fits, your agent makes the intro. \n\nFree for talent, success-only for companies.\n\n<https://youtu.be/ZvcRQiwxBbU>\n\n**The Product:** **a CLI that proves you**\n\nResumes and LinkedIn are proxies. They tell a company what you claim, never what you can do. So we moved the assessment to where the work actually happens: the terminal.\n\nRun Standout in your CLI and it evaluates real skill, how you approach a problem, how you build, how you challenge AI. The output isn't a score on a test. It's a living profile of your capability that no resume can fake and no keyword filter can bury.\n\n![uploaded image](/media/?type=post&id=102530&key=user_uploads/2886794/22a37a4e-49e2-4da9-a649-9f7f04a2a78c)\n\nThat profile is the product. Everything else follows from it.\n\n**The CLI is what makes the intro real**\n\nOnce you're assessed, an autonomous agent represents you. It reads the roles that never hit the market, matches them against what you've actually proven, and only makes the intro when the fit is real.\n\nThe intro lands as a single message: who this is, what they can do (proven, not claimed), why they fit, why now. No applications. No cold outreach. No spam on either side.\n\n•⁠  ⁠Proof, not proxies — capability measured in the terminal, not inferred from a title.\n\n•⁠  ⁠Privacy by default — you stay invisible until you greenlight a role. Identity is never exposed without consent.\n\n•⁠  ⁠Intros in hours, not weeks — the assessment is already done, so the match is instant.\n\n•⁠  ⁠Aligned cost — free for talent, companies pay only on hire. No retainer, no exclusivity.\n\n![uploaded image](/media/?type=post&id=102530&key=user_uploads/2886794/4ce0af3f-d51b-4375-9715-48c2a7684e39)\n\n**Starting with the startup ecosystem**\n\nFounding engineers, early product hires, GTM leaders. The roles where the right person changes a company's trajectory and the wrong one sets it back six months.\n\nAlready representing 10,000+ builders, matched with 60+ startups from P26 pre-seed teams to Series B and unicorns.\n\nIf you are looking for the role that will define your next decade, open your terminal and prove your worth.\n\nIf your next five hires will define your company, plug Standout into your stack.",
        "url": "https://www.ycombinator.com/launches/Qfi-standout-a-talent-agent-for-builders",
        "votes": 8,
        "created_at": "2026-06-04T14:58:17.999Z"
      },
      {
        "id": 100833,
        "title": "Standout - The Agentic Hiring Marketplace",
        "tagline": "Talent and companies each get an agent that makes intros when it matters",
        "body": "**TL;DR:** We're a talent agent connecting the world's best startup talent with the companies building what's next.\n\nWe don't sell software, we deliver introductions. Both sides get an autonomous agent that vets the other end and only makes the intro when the fit is real. Introductions in hours, not weeks. Free for talent, success-only for companies. One month in: 100 intros done.\n\nHiring is broken on both sides. We're rebuilding it around agents.\n\n<https://youtu.be/7LdjJO-ibdI>\n\n**❌ The Problem**\n\nHiring should match the right people to the right roles. It rarely does. Five failures repeat on every search, and almost no one escapes them.\n\n* **Spam** — Talent fire hundreds of AI applications. Recruiters fire hundreds of AI messages. Both inboxes drown in noise.\n* **Visibility** — Early stage founders struggle to reach the talent worth hiring. The best talent gets buried in the inbound. Both sides struggle to stand out.\n* **Asymmetry** — Talent see titles and comp bands. Founders see resumes and LinkedIn. Neither side sees what actually matters.\n* **Privacy** — Looking around means risking your current job. There's no way to say \"I'm open\" without saying \"I'm leaving”\n* **Cost** — Recruiters take 20–30% of first-year salary, after weeks of back-and-forth, and the role still goes to someone they didn't find.\n\n**✅ Our Solution**\n\nStandout is an agentic hiring marketplace. Talent and companies each get an autonomous agent that represents them, vets the other side, and only makes the intro when the fit is real.\n\n* **Spam, gone** — No applications, no cold outreach. The agent only surfaces matches when the fit is real.\n* **Visibility, restored** — We see the roles that never hit the market and bring them to the people they're meant for.\n* **Symmetric context** — Both sides see what actually matters. The intro lands as a single message: who this is, why they fit, why now.\n* **Privacy by default** — Talent stay invisible until they greenlight a role. Identity is never exposed without consent.\n* **Aligned cost** — Free for talent. Companies pay only on hire — no retainer, no exclusivity.\n\n![uploaded image](/media/?type=post&id=100833&key=user_uploads/2886794/19cf3727-8a22-4910-b69a-12bde13936c1)\n\n**Starting with the startup ecosystem**\n\nWe're starting with founding engineers, early product hires, and GTM leaders — the roles where the right person changes a company's trajectory and the wrong person sets it back six months.\n\nWe're already representing 10,000+ builders, matched with 60+ startups from P26 pre-seed teams to Series B unicorns.\n\nIf your next five hires will define your company, plug Standout into your stack.\n\nIf your next role will define your decade, get represented.\n\n**Our Ask**\n\n* **If you're a builder** — get represented at [standout.work](http://standout.work). Free, three-minute onboarding, and we start matching you the same day.\n* **If you're hiring** — book a demo at <https://cal.com/team/standout/hire>. We'll send you the first candidates within days.\n* **If you know someone** — a builder who deserves better than a job board, or a founder drowning in inbound send them our way.\n\n**The Team**\n\n**Alexis Aftalion** — Previously launched Zealy a linear for discord communities. Scaled it to 1.5M MAU and $3M ARR in 12 months.\n\n**Witold de La Chapelle** — Built a jobboard with 100k MAU, ex-Engineer @ Dropbox, Samsara, Chime.\n\n![uploaded image](/media/?type=post&id=100833&key=user_uploads/2886794/73e8595d-6a1f-4295-9a0f-47c591083490)\n\n",
        "url": "https://www.ycombinator.com/launches/QEL-standout-the-agentic-hiring-marketplace",
        "votes": 14,
        "created_at": "2026-05-07T05:59:23.895Z"
      }
    ]
  },
  {
    "id": 31403,
    "name": "transload",
    "slug": "transload",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1bddf9622d95fa25a8b10500158d81f74f5df2f7.png",
    "website": "https://www.transload.ai",
    "all_locations": "Munich, BY, Germany",
    "long_description": "transload helps logistics companies measure shipments using the security cameras they already have. A pallet, a couch, a tire – we capture its true size as it moves through the warehouse.\r\n\r\nFor our customers, 15% of shipments turn out to be bigger than what the sender claimed. Catching those differences is worth ~$50k per site per month in rebillings and improved trailer utilization.",
    "one_liner": "Measure freight with security cameras",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1778896430,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "Germany",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/transload",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/transload.json",
    "year_founded": 2026,
    "city": "Munich",
    "country": "DE",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1bddf9622d95fa25a8b10500158d81f74f5df2f7.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 3295758,
        "full_name": "Julius Scheel",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at transload. Top 5% of Analysts at McKinsey. Led a 9-person door-to-door NGO fundraising team at age 17 (€300k donations), built and scaled a virtual clinic at avi medical to 7-figures ARR. Distinction from Technical University of Munich.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/juliusscheel/",
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        "full_name": "Nils Börner",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO (AI) of transload. Five years building computer vision systems across deep-tech startups and academic research, with a co-authored paper in IEEE Transactions on Medical Imaging. Graduated top 5% of his Master's in Computer Science at TU Munich and earned a double-degree Master's in Data Science from the University of Queensland, recognized with the Dean's Commendation for Academic Excellence.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/boenils/",
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      {
        "user_id": 3351257,
        "full_name": "Jago Wahl-Schwentker",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO (Engineering) at transload. Previously first software engineer at Veli, where he built an AI emergency alerting system from water and electricity sensor data for care homes and launched a Bluetooth localization product that doubled ARR. Studied Computer Science at the Technical University of Munich.",
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        "id": 101496,
        "title": "transload – we measure freight with security cameras",
        "tagline": "Measurement, localization and tracking of freight in warehouses using only pre-installed CCTV",
        "body": "**TL;DR:** \n\n* Trucking companies lose billions because they don't know the actual size of the items on their trucks \n* We measure every shipment using the existing warehouse security cameras – no new hardware or process changes\n\n<https://youtu.be/4ZGgDSRsALo>\n\n**Problem:** Over 2 million irregular items move across the US in trucks every day. Trucking companies charge based on how big each item is but rely on the sender to tell them. Senders often guess wrong or lowball, costing trucking companies revenue and truck space.\n\n**Solution:** We use the CCTV cameras already installed in the warehouse against theft and claims to measure items with computer vision. In the future we track shipment status, location and evidence for claims across the supply chain.\n\n**Ask:** Do you know any trucking company or warehouse owners? We would love to help them.\n\n![uploaded image](/media/?type=post&id=101496&key=user_uploads/3295758/23e99fb2-1112-4df1-a5d5-087daf23b720)\n\n**Team:** Nils (Computer Vision), Julius (ex-McKinsey), Jago (AI on industrial sensor data). Friends for 8 years from TU Munich.",
        "url": "https://www.ycombinator.com/launches/QP2-transload-we-measure-freight-with-security-cameras",
        "votes": 8,
        "created_at": "2026-05-18T01:00:41.343Z"
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        "user_id": 3403717,
        "full_name": "Ankur Dahama",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & Engineer @ Userlens. Before that, founded Wudpecker and grew to 20k+ teams. Worked on engine simulation at Mercedes-AMG and system software for a nuclear reactor.",
        "is_active": true,
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        "full_name": "Hai Ta",
        "title": "Founder",
        "founder_bio": "Co-founder at Userlens",
        "is_active": true,
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      {
        "id": 99501,
        "title": "Userlens - AI CSM that never misses churn",
        "tagline": "Userlens gives you 100x CSMs",
        "body": "Hey folks 👋\n\nWe’re [Ankur Dahama](https://www.linkedin.com/in/ankurdahama/) and [Hai Ta](https://www.linkedin.com/in/anhaita) - co-founders of [Userlens](https://userlens.io/).\n\n<https://youtu.be/0wsD-3wxkZc>\n\n# TL;DR\n\nUserlens is an AI CSM that monitors every account like your best CSM monitors your top 5. It catches churn months before renewal, builds QBR decks on your playbook, and tells your team exactly what to say.\n\n# Our story\n\nAt our last startup (Wudpecker), we had 25K users, 1,000+ customers, and zero idea who was about to churn. We flew blind. Accounts died quietly, and we only found out at renewal. So we built the tool we wished we had.\n\n# Userlens - Your 100x CSM that prevents churn\n\nUserlens watches every account the way your best CSM watches your top five.\n\nIs a renewal coming up at one of your accounts? Userlens already knows 5 users stopped using your new AI feature last month, the champion changed roles, and there's a frustration thread buried in Slack your team never saw.\n\nBefore your CSM opens the account, the talking points and QBR deck are ready — built on your team's templates and playbook.\n\nIt does this across your entire book of business. Every account gets the attention that your best CSM gives your top 5.\n\n# Why our customers love us:\n\n* **Quartr (10M ARR):** went from **40 accounts per CSM to 200** — with the same team, all while growing from **1M to 10M ARR in a year**. Their NRR has increased by **18% in 3 months** with us.\n* **Smartly (200M ARR):** their performance of CSMs in customer meetings and QBRs has gone absolutely vertical. We’ve predicted (and prevented) **23 6-figure deals** in churn risk already in a month!\n\nConnects to your **Product analytics** (Posthog, Amplitude, Mixpanel, Segment), **CRM** (HubSpot, Salesforce, Attio), **Billing** (Stripe), and Support tools (Intercom, Pylon).\n\n**Setup takes a day**. And we do up to 3 months of historic data import during pilots.\n\nWe lost accounts at our last startup because nobody told us what was happening until it was too late. Userlens makes sure that never happens to you.\n\n**For YC companies — free for 3 months.** We'll get you set up in a day.\n\nBook demo: <https://cal.com/hai-ta-lil5ul/30min-with-hai-cofounder-ycbfl>\n\n**Know CS leaders at a B2B SaaS company?** We'd love a warm intro.",
        "url": "https://www.ycombinator.com/launches/Psr-userlens-ai-csm-that-never-misses-churn",
        "votes": 24,
        "created_at": "2026-04-07T19:18:01.670Z"
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    "long_description": "Sherpa automatically optimizes websites for every human and every agent. For humans, Sherpa studies visitor behavior, builds better pages and flows, tests them on live traffic, and keeps what converts. For AI agents, Sherpa tests different agent-facing versions of the site until agents recommend the company more often. \r\n\r\nCustomers typically see a 15-20% lift in their primary conversion metric after using Sherpa for 30 days.",
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    "team_size": 2,
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    "subindustry": "B2B",
    "launched_at": 1774901696,
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      "America / Canada"
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Running a single website experiment today takes marketers, designers, engineers, and weeks of coordination. Before starting Sherpa, Norbu ran 50+ growth experiments at Lindy and felt this pain on each one. $7 trillion in commerce flows through digital funnels every year and most companies aren't running nearly enough experiments to improve their conversion rates. Sherpa finds what needs to change on a website, builds it, and tests it, all on its own."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We're building software that improves itself. In this world, every website you visit, every app you open, every product you use gets better automatically based on real usage data. We're starting with conversion optimization because the feedback loops are tight and the outcomes are measurable."
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    "url": "https://www.ycombinator.com/companies/sherpa",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/sherpa.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
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      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 2561349,
        "full_name": "Ethan Kinnan",
        "title": "Founder/CEO",
        "founder_bio": "Automated every job I've ever had. Now automating conversion rate optimization at Sherpa.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ethan-kinnan/",
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      {
        "user_id": 919118,
        "full_name": "Norbu Sonam",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Sherpa (YC P26): autonomous growth experiments that increase conversion for human and agent traffic. Previously built agent infrastructure at Lindy used in millions of tasks, ran 50+ growth experiments there, and tripled paywall conversion. Before that, shipped image generation in Microsoft Copilot to tens of millions of users and a Super Bowl audience.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/norbusonam/",
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      {
        "id": 100086,
        "title": "Sherpa - Turn more website visitors into customers",
        "tagline": "Automatically find and run experiments to increase website conversion",
        "body": "Hey YC, we're [Ethan](https://www.linkedin.com/in/ethan-kinnan) and [Norbu](https://www.linkedin.com/in/norbusonam) from Sherpa. \n\n**TL;DR**\n\n**Sherpa turns more website visitors into customers by running experiments on its own. Here’s how:**\n\n→ Sherpa studies visitor behavior and finds opportunities to increase your site’s conversion \n\n→ It launches on-brand experiments without a designer or developer\n\n→ Winners ship and your site’s conversion rate goes up\n\n\\\n**Offer:** Get a free review of your website from Sherpa in 30 seconds. [Here’s the link.](https://www.withsherpa.ai/?utm_source=yc-launch)\n\n\\\n**Meet Ryan.**\n\nRyan runs growth marketing at Lindy. After installing Sherpa he shipped 40 website experiments in 30 days without a designer, web developer, or engineer. \n\nThese weren't just headline or copy changes. Experiments included full layout changes, animations, onboarding, and even pricing. To date, total site conversion is up 30%.\n\nWe sent a film crew to Ryan’s office, watch below: \\\n<https://www.youtube.com/watch?v=RNb2WkElu2M>\n\n**\\\nThe problem**\n\nYour website is the highest-leverage asset your company owns. Every visitor you've ever paid for lands on it. And most of them leave.\n\nEvery growth team knows their site could convert better. Conversion rate optimization (CRO) is a volume game but each experiment needs a data analyst, a designer, a web developer, and someone to call winners. Most marketing teams don't have that bench. The ones that do still only ship 2-3 experiments a month because coming up with ideas, building them, and coordinating handoffs takes weeks.\n\nExperiments that could double your business are out there, but getting them live today feels like this:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/5269788d-75f4-4cff-8e78-cf79a766df26)\n\n**\\\nHow Sherpa works**\n\nInstead of waiting weeks per experiment, you can install Sherpa. It comes up with the ideas, builds the experiments, and you approve which ones go live with one click.\n\nSherpa is your conversion rate optimization team compressed into one line of code. \\\n\\\nIt studies how your visitors behave and compares your funnel to competitors to find opportunities to increase conversion. Then it designs on-brand variants, ships them, and runs A/B tests to identify winners. Sherpa can even spin up a new landing page for every ad, so each visitor lands on a page matched to the exact content they clicked. The longer Sherpa runs, the more it learns how to improve conversion on your site.\\\n\\\nOur customers ship dozens of experiments a month without adding more work for their team. Here are two examples.\n\n**\\\nLindy**\n\nSherpa noticed the problem section had the highest dwell time and dropoff on the page. The feature cards were close behind. Both sections were bottom three in stop-and-convert rate.\n\nSherpa removed the problem section and replaced the static feature cards with a new collapsed section that took up less space.\n\nBefore:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/b111b9cc-7736-4f91-8b8e-3ebf5e3b35e7)\n\nAfter:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/1ecdbfbf-86e7-4008-8e2a-14805168e8cb)\n\n**Gauge**\n\nSherpa found that visitors who read their Eco case study booked demos 2.5x more often. It also noticed visitors engaging with the FAQ were consistently clicking on the 2 questions trying to better understand what AEO is.\n\nSherpa shipped a new animated hero explaining AEO and added a case study callout under the primary CTA.\n\nBefore:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/d1ce3d51-9c1d-433b-80e7-4bd516aa82db)\n\nAfter:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/bd43a80f-85e4-41dd-861d-f58824eb9fea)\n\n\\\n**Who we are**\n\n**Norbu (CTO)**: shipped AI products at Microsoft before leading agent infrastructure and growth engineering at Lindy, where he ran 50+ growth experiments and tripled paywall conversion. \n\n**Ethan (CEO)**: was Lindy’s first forward deployed engineer and taught 10,000+ people to build custom agents, live. Automated every job he's had with AI since the GPT-3 API launched.\n\nWe’re obsessed with self-improving systems. Websites and conversion are just the start. We’re building toward a world where software continuously optimizes for whoever is using it — human or agent.\n\n**Ask:**\n\n→ Own a website? [Have Sherpa review your site for free in 30 seconds here](https://www.withsherpa.ai/?utm_source=yc-launch)\n\n→ Want to talk? [Book a call](https://cal.com/team/sherpa/demo?utm_source=yc-launch)\n\n→ Know a marketing or e-commerce leader whose website changes take forever and would benefit from a 20% conversion bump? Do them a favor and send them this 🤝\n\nThanks YC.\n\n— Ethan & Norbu",
        "url": "https://www.ycombinator.com/launches/Q2I-sherpa-turn-more-website-visitors-into-customers",
        "votes": 59,
        "created_at": "2026-04-23T06:55:42.062Z"
      }
    ]
  },
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    "id": 31408,
    "name": "Antinuous",
    "slug": "antinuous",
    "former_names": [
      "Salesgraph"
    ],
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    "website": "https://www.antinuous.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Antinuous is building autonomous research agents to help people in research, development, discovery, and knowledge work do faster, more accurate research end to end without a human in the loop.\r\n\r\nWe believe humans should be able to ask a single question, and no matter how simple or complex, agents should look at the question, break it down, research the answer, test new ideas, simulate new environments, and repeat autonomously using as much or little compute as necessary elastically.",
    "one_liner": "Autonomous research agents for R&D and applied science",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1775259755,
    "tags": [
      "AI"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "America / Canada"
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We started as Salesgraph, building agents and workflows for enterprise sales teams.\r\n\r\nIn enterprise sales, there are four bottlenecks: pipeline, execution, internal, and implementation\r\n\r\nPipeline: how can I do effective outreach to more people.\r\n\r\nExecution: how can I boost deal win rate.\r\n\r\nInternal: how can I make CPQ, deal-desk, approvals, and negotiations fast.\r\n\r\nImplementation: how can I get new customers onboarded smoothly post-sale to avoid clawback.\r\n\r\nWe were working on execution first, because we solved that internally at Mintlify. After we started tackling pipeline generation, we realized that pipeline generation tools make great primitives for all research.\r\n\r\nTo build pipeline, you need to create tables of people and companies that you want to sell into. From those tables, you create primitives to dive deeper and do more specialized research to then build automations off of.\r\n\r\nWhat if you want to do deeper research? Learn the industry that your pipeline is built on, map vertical bottlenecks to your solution, go deep on each person to see how they relate to you? Now, you’re going the extra mile to partner on a solution to a business problem with each client, not just features.\r\n\r\nBut what if you expand this past sales?\r\n\r\nWhat if you’re in manufacturing and want to map supply chain bottlenecks to do better capacity planning?\r\n\r\nWhat if you’re in finance and want to see what data-center construction is doing to grid prices in Texas and Louisiana?\r\n\r\nWhat if you’re in R&amp;D at a biotech and want to run virtual simulations overnight without hooking it up to your lab equipment.\r\n\r\nThis tool that we built for a niche use case of account research and pipeline generation turns out to be the perfect primitive for all research.\r\n\r\nWhat if we built the best tools for agents to be able to run simulations, experiments, and research in collaboration autonomously.\r\n\r\nWe can then build the most intuitive way to give humans info from that research in a way they can digest and build a better flywheel.\r\n\r\nWe quickly went from asking how good can we make sales outreach more effective to asking how many people we can reach who have a question they can’t answer because they don’t have the tools or knowhow.\r\n\r\nFrom building the tools to close revenue more effectively, we realized there's a much larger opportunity to build better tools for agents to answer any question.\r\n\r\nAs Antinuous, we are building an autonomous research platform where people can investigate their hardest questions and turn what they learn into action."
      }
    ],
    "url": "https://www.ycombinator.com/companies/antinuous",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/antinuous.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/antinuous",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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      {
        "user_id": 1949529,
        "full_name": "Ricardo Nunez",
        "title": "Founder",
        "founder_bio": "Building Antinuous, the autonomous research platform",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ricardonunez-01/",
        "x_url": "https://x.com/ricardo_nunez",
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    "jobs": [],
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    "launches": [
      {
        "id": 100286,
        "title": "Salesgraph - your marketers, analysts, & strategists, working 24/7 on every deal.",
        "tagline": "Automate context gathering, collateral, and strategy for enterprise sales teams",
        "body": "Hey we’re [Ruhan](https://www.linkedin.com/in/ruhanponnada/) and [Ricardo](https://www.linkedin.com/in/ricardonunez-01/) - engineer turned seller, and seller turned engineer.\n\n**Offer:** Get a free [GTM Audit ](https://www.salesgraph.com/gtm-audit)on your company or prospects + if you intro us to a closer, for a meeting booked, get free Lulu merch!\\\n\\\n**TL;DR** Salesgraph automates deal context and collateral for enterprise sales teams, so every rep walks into every call prepared and leaves every call with clear next steps. We're a headless UI, starting with a Slack-native experience that integrates with your CRM, calendar, call recordings, docs, blogs, case studies, and research.\n\n<https://youtu.be/fO6c2wIPwIw>\n\\\n**The Problem:**\nSales reps have too much on their plate: back-to-back meetings, Slack messages from prospects, follow-up emails, and coordination with SEs. The best reps balance this. The rest forget to follow up, come to calls unprepared, and lose deals at pricing because they can't value sell.\\\n\\\nThis gets harder when you're selling a technical product as a non-technical rep. You can't articulate value if you don't fully understand what you're selling, so reps default to features, line items, and discounts.\\\n\\\n**The Result:** enterprise deals die in procurement. \\\n\\\nWhen reps walk in without a clear business case, procurement has all the leverage. Deals stall on price, ACV gets discounted away, or the deal dies entirely.\n\nWe lived this at Mintlify. Reps looked great on paper, but folded under pressure. The truth is, sales is as much nurturing as it is selling. The best reps act like consultants, not order takers.\\\n\\\n**Our Solution:** At an internal Mintlify hackathon, our Head of Sales paired with Ricardo to build an internal tool: a value case generator trained on call recordings, past deals, case studies, ROI calculators, and the MEDDIC framework. The output was a 3-page business case our champions used to sell Mintlify internally — driving higher ACVs and helping us close millions from enterprise logos.\n\nWhy can’t we evangelize every GTM team to close deals at higher ACV through encouraging value selling? \\\n\\\nWe took those learnings to build Salesgraph.\n\nIn Slack, reps get proactive context 5 minutes before every call — triggers from background agents, key notes from previous calls, and what to cover next. After every call, they get a DM with strengths, gaps to address, and next steps.\n\nWe integrate with major call recorders and ship our own ambient recorder (a sales-focused alternative to Granola), **free for founders and teams under 3**.\\\n\\\n**Why this matters for everyone, not just reps:**\n\n* **Sales managers** query deal state directly in Slack, no more reading low-quality opp notes or meaningless health scores\n* **SEs and FDEs** stop watching call recordings at 2x speed; they just ask in Slack\n* **Customer success** sees what was actually promised vs delivered\n\n\\\nEvery rep should sell like your best rep. \\\n\\\nTry us out <https://www.salesgraph.com/>.\n\n![uploaded image](/media/?type=post&id=100286&key=user_uploads/1232135/373bd751-51cd-409f-af85-343138e2bcd6)\n\n",
        "url": "https://www.ycombinator.com/launches/Q5W-salesgraph-your-marketers-analysts-strategists-working-24-7-on-every-deal",
        "votes": 28,
        "created_at": "2026-04-27T17:30:09.308Z"
      }
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  },
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    "id": 31409,
    "name": "InstaAgent",
    "slug": "instaagent",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1efbbb9a75fe89206f180f9f9d1afb75dba57ca0.png",
    "website": "https://instaagent.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "InstaAgent helps B2C companies scale a single campaign across hundreds of specific audiences on Meta and TikTok, each with its own content, voice, and targeting. Traction: $1M Ann. Run Rate in 10 months.\r\n\r\nFrom one brief, we create personalized creatives, distribute them through paid channels and niche social accounts, and use performance data to learn what works, scale winners, and improve every campaign.",
    "one_liner": "Scale marketing campaigns across hundreds of personas",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1778187883,
    "tags": [
      "Marketing",
      "Advertising"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/instaagent",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/instaagent.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/instaagent/",
    "x_url": "https://x.com/InstaAgentAI",
    "fb_url": "https://www.facebook.com/p/InstaAgent-61575219352924/",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1efbbb9a75fe89206f180f9f9d1afb75dba57ca0.png",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 593025,
        "full_name": "Kyle Wong",
        "title": "Founder/CEO",
        "founder_bio": "Repeat Founder (1M+ users in 1 month) | Ex-GS China TMT | Triple Major @Cornell",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kylewong2/",
        "x_url": "https://x.com/klwongkyle",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ac6e1be5ac71930d636cf8d92b23c954a864176.jpg"
      },
      {
        "user_id": 2509838,
        "full_name": "Colin Tseung",
        "title": "Founder",
        "founder_bio": "Repeat Founder (Acqui-hired) | Maths @Oxford",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tseungc/",
        "x_url": "https://x.com/tseungcolin",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83057cf8d80aa579ab26a8e076610f271190979d.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 101195,
        "title": "InstaAgent – One marketing campaign → hundreds of personas",
        "tagline": "We help B2C companies scale social media marketing across hundreds of personas",
        "body": "**TLDR**: InstaAgent helps B2C companies scale a single marketing campaign across hundreds of specific personas on Meta and TikTok, each with its own content, voice, and targeting.\n\n**Traction**: Reached $1M ARR in 10 months.\n\n**Launch Video:** <https://youtu.be/NM3l6c2cm0w>\n\n**The Problem**\n\n👋 Hello! We’re repeat founders who burned millions on paid social. We used AI to scale content production, but most of it was generic slop that fell flat. What actually converted was creative tailored to specific niches. But producing that at scale was too slow, too expensive, and no tool existed to do it.\n\n**Lessons from Serving Hundreds of Customers**\n\n1. **80% quality = 0% retention**: There's no \"good enough\" in AI creative. If content feels even slightly off, customers call it slop and churn. High-quality AI creative is harder than people assume — it's not just prompting, it's topics, taste, and iteration. That's why we moved from self-serve to an agency model. Customers do not just want AI tools; they need help producing quality creatives.\n2. **Few people actually like creating**: The first few ideas came easy, then they were stuck. Most brands run 5-6 variations when they should be running 50+. MEDVi (controversial, but instructive) scaled by running ads across 800+ Facebook pages. Few brands can produce personalized ads at that scale.\n\n**Our Solution**\n\nInstaAgent generates hundreds of on-brand creatives from your brief — each tailored to a specific persona, informed by what's trending and distributed across hundreds of social accounts engineered to reach each niche.\n\nIn hours, performance data starts flowing back. Winners scale. Underperformers are replaced by new variants. The optimization loop that used to take weeks now runs continuously.\n\nIn days, you launch the next campaign. Different angle, fresh creatives, smarter targeting — because every cycle inherits what the last one learned.\n\n**Our Ask**\n\nIf you know a B2C company scaling on Meta or TikTok, we’d love an intro.\n\nEspecially relevant: CPG, Health, and Apps.\n\nPlease email us at [kyle@instaagent.com](mailto:founders@instaagent.com)\n\n**About Us**\n\n[Kyle](https://www.linkedin.com/in/kylewong2): Repeat Founder (1M+ users in 1 month) | Ex-GS China TMT | Triple Major @Cornell\n\n[Colin](https://www.linkedin.com/in/tseungc): Repeat Founder (Acqui-hired) | Maths @Oxford\n\nFriends for 20 years since middle school:\n\n![uploaded image](/media/?type=post&id=101195&key=user_uploads/593025/e32fecf3-ea76-4c59-b20a-14c355a4683d)\n\n",
        "url": "https://www.ycombinator.com/launches/QKB-instaagent-one-marketing-campaign-hundreds-of-personas",
        "votes": 48,
        "created_at": "2026-05-11T16:27:44.262Z"
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    "id": 31411,
    "name": "Andco",
    "slug": "andco",
    "former_names": [],
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    "website": "http://www.useandco.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Our agents retrieve and synthesize all the records law firms need to start a personal injury case. We get police reports, open insurance claims, and retrieve all the medical records and bills needed to build a case.",
    "one_liner": "Agents that build personal injury cases",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1777434223,
    "tags": [],
    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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      "Legal"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/andco",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/andco.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/andcolegal/",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1126674,
        "full_name": "Ryan Xue",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder/CEO at Andco (X26). Previously co-founder/CEO at Layup (W23). First business hire at Origin, scaling the company from pre-product to hundreds of enterprises and 100K+ users across 40+ countries. Previously consultant at McKinsey and policy fellow at Google.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ryanxue/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45d2131a9a31f9a00d74e39bca27bffa7cf17cf0.jpg"
      },
      {
        "user_id": 1305066,
        "full_name": "David Lee",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO at Andco. Previously CTO at NoxuData and Founding Director of Engineering at Seek AI (IBM acq). Senior Software Engineer at DataFox (Oracle acq).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lee-david3",
        "x_url": "https://x.com/dleebuilds",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4303ef465363979bee82ba94d4c725349c817063.jpg"
      },
      {
        "user_id": 1161905,
        "full_name": "Michael Lemm",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder and COO of Andco (YC X26). Previously Co-Founder and COO of Layup (YC W23). Outside of Andco, I enjoy rooting on Chicago sports teams, firefighting, and trying new local restaurants. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-s-lemm/",
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    "jobs": [
      {
        "id": 96305,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/andco/jobs/zoWNTcb-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $220K",
        "equity_range": "1.00% - 3.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
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    "launches": [
      {
        "id": 100597,
        "title": "Andco: Agentic case workups for personal injury law firms.",
        "tagline": "We get personal injury law firms medical, police, and insurance documents - fast and without overhead.",
        "body": "**TLDR:** Andco's AI agents run the entire pre-litigation workup for personal injury firms across every channel they use: fax, email, mail, web, SMS, and voice - so they can scale their firm without overhead.\n\n**The first 24 hours of a case, with Andco**\n\nThe moment a PI firm signs a new client, a race starts. Police reports need to be pulled, insurers need to be called, medical providers need to be faxed (yes, still faxed). Our agents go off across all channels in parallel: requesting the police report, opening claims with carriers like Geico and Progressive, identifying UM/UIM coverage, engaging adjusters, requesting records and bills from every treating provider, and running follow-up cadences until everything lands. Roughly 8 hours of legal staff work, done before anyone at the firm sits down at their desk.\n\n![uploaded image](/media/?type=post&id=100597&key=user_uploads/1126674/72f429e1-75ec-45b9-8481-5fac0d0dce5a)\n\n**The Problem**\n\nPersonal injury is a $50B+ industry, and firms live or die on pre-litigation workup speed. The problem: every case requires chasing dozens of documents from police departments, insurance carriers, and medical providers — most of whom still run on fax, mail, and phone. Firms have two options today\n\n1. Hire armies of legal staff + paralegals (expensive, high turnover, caps your caseload)\n2. Outsource to point-solution retrieval vendors (slow, opaque, expensive per-request)\n\nLegal tech built for this has historically been document and case management systems — great for storing things, terrible at actually doing the work. Meanwhile AI tooling in PI has mostly focused on downstream workflows like medical chronologies and demand drafting, which still depend on someone else getting the case context in first.\n\n**The Solution**\n\nAndco runs the pre-lit workup end-to-end. We're the system that actually does the work of getting the context. Our agents operate across fax, email, mail, web, SMS, and voice - the same channels your legal staff uses, plus a few they can't scale on. We're live with PI firms across the US and are exploring pilots with the world's largest injury law firms.\n\nEarly results:\n\n• 8 hours saved in the first 24 hours of a case\n\n• 24+ hours saved between intake and demand\n\n**About Us**\n\nWe're a team of repeat founders, ex-lawyers, and builders.\n\n**Ryan Xue (CEO)** — previously founded Layup (W23, exited to Whatfix). Before that: Origin, McKinsey, Google.\n\n**David Lee (CTO)** — 2x founder/CTO. Previously NoxuData and Seek.\n\n**Mike Lemm (COO)** — Layup co-founder (W23, exited to Whatfix). Formerly attorney at Kirkland & Ellis, Harvard Law.\n\n\\\n**Our Ask**\n\nWe publicly launched in March and are scaling as fast as humanly possible. We’re already live with many high volume firms across the country - handling hundreds of cases and thousands of requests each month. We can serve law firms in all 50 states.\\\n\\\nIf you’re a personal injury law firm that is struggling to scale your prelit process, we’d love to hear from you. First case is on us! \n\nDrop us a note at [founders@useandco.com](mailto:founders@useandco.com). Site: [useandco.com](http://useandco.com)\n\nThanks for your support!\n\n[@Ryan Xue](https://bookface.ycombinator.com/user/1126674) , [@Michael Lemm](https://bookface.ycombinator.com/user/1161905) , and [@David Lee](https://bookface.ycombinator.com/user/1305066)",
        "url": "https://www.ycombinator.com/launches/QAX-andco-agentic-case-workups-for-personal-injury-law-firms",
        "votes": 16,
        "created_at": "2026-04-30T17:44:34.179Z"
      },
      {
        "id": 91769,
        "title": "Layup: Guide your users. Right in your product. Entirely self serve!",
        "tagline": "Layup is AI that onboards and guides any user directly in your product.",
        "body": "After tons of feedback from early customers (thank you YC community for helping us break stuff!), we’re proud to share that Layup is now fully self-serve with our new point-and-click guide builder.\n\nhttps://www.youtube.com/watch?v=TqtS3ET8KmY\n\nThis is a big moment for the digital adoption space: teams can now launch in-product onboarding and guidance in _minutes_, without waiting on engineering or dragging out implementation cycles. We believe every product deserves a second cursor guiding users—and now, anyone can set it up instantly.\n\n**Here’s what’s new (and included in every plan)**:\\\n✅ **Brand new point-and-click editor**: just click around your product, and we generate the in-product guide, including text for each step.\\\n✅ **Fully redesigned UX**: faster, smoother, simpler.\\\n✅ **Built-in onboarding + feature announcements** to show users what you ship.\\\n✅ **Dynamic guidance**: Layup guides users when they get stuck, directly in your product—no help center required.\\\n✅ **Flow validation + retraining**: we auto-check and fix broken flows.\\\n✅ **Knowledge fallback**: if a flow doesn’t exist, we harvest from your product and docs to guide users.\n\n**What we’ve learned optimizing Layup to be self-serve**. A few lessons that might resonate if you’re working in onboarding, product education, or support:\\\n– Onboarding isn’t a one-time problem; it’s an ongoing infrastructure challenge. Your UI changes weekly, and your onboarding needs to evolve with it.\\\n– Nobody wants to “design a flow” or tag individual elements to make one: they want to point, click, and have it just work—so we built exactly that.\\\n– The most effective guides don’t live in a help center or static documentation—they live interactively inside your product, appearing exactly when users need them.\\\n– The best support content isn’t built manually; it’s harvested from your product and docs, so we built a fallback system that does just that.\n\nLayup reflects these learnings—and we’re still in builder mode.\n\n**Why this matters**\\\nIf you’ve tried using a DAP (Pendo, WalkMe, Appcues, etc.), you know the pain: incredibly difficult to set up, flows break, users ignore them, and maintaining them becomes a second job.\n\nWith Layup, you can now:\\\n✨ **Build everything yourself in minutes**.\\\n✨ **Keep your guides alive even when your product changes**.\\\n✨ **Help users even when there isn’t a pre-recorded guide.**\n\nWe’re excited to get Layup into more products, making onboarding effortless and guidance instant. If you want to transform how your product guides and supports users, let’s chat—we’d love to get you started with Layup today. We offer a 7-day free trial so you can see the impact for yourself.\\\n\\\nTalk to us here! [**https://cal.com/team/layup/founders**](https://cal.com/team/layup/founders)",
        "url": "https://www.ycombinator.com/launches/Ns9-layup-guide-your-users-right-in-your-product-entirely-self-serve",
        "votes": 13,
        "created_at": "2025-07-01T16:51:37.258Z"
      },
      {
        "id": 88104,
        "title": "Layup: Guide every user, anywhere in your product",
        "tagline": "The second cursor that onboards, activates, and guides users through your product",
        "body": "**TL;DR:** Layup helps guide users anywhere in your product. Our second cursor appears directly in your UI to walk users through step-by-step.\n\nYou invested in building the features—now guide every user through how to use them.\\\n\\\n**Update:** When we first launched two months ago, demand for our AI-driven second cursor was so overwhelming that we served everyone we could and then essentially went back into stealth mode to scale our infrastructure. Now, we're relaunching with a slew of new features and upgrades—ultra-fast latency, docs referencing, a new, beautiful widget, and \\*\\*dynamic conversational guides\\*\\*—making Layup smoother, faster, and more powerful than ever.\n\nAnyone launching a product can now effortlessly create and maintain in-product tutorials, onboarding guides, and feature announcements with literally 0 overhead.\n\n![uploaded image](/media/?type=post&id=88104&key=user_uploads/1126674/f10f7879-95ac-4b39-b80f-ca7d78b16a66)\n\n\\\n**The Problem**\\\nEven products with great UI can fall short if users don’t know how to find or use new or complex features.\\\nTraditional onboarding flows and user adoption tools—like rigid product tours or static help center articles—often fail to engage users or break when your UI changes. It’s an endless cycle of re-tagging and updating that exhausts product, growth, and support teams.\\\n\\\n**Our Solution**\\\nLayup embeds a **second cursor** that guides your users in real time:\n\n1. **One Line of Code**: Invite Layup as a user and drop a snippet to overlay our widget in your UI.\n2. **Advanced Knowledge Base Referencing**: Instantly surface relevant docs and FAQs in every step of a guidance flow.\n3. **Dynamic Conversations & Guides**: The second cursor and conversation overlay automatically adapt as your UI evolves—no re-tagging required.\n4. **New, Beautiful Widget**: Keep users engaged with a modern, intuitive design that’s integrated seamlessly into your product.\n\n\\\n<https://www.youtube.com/watch?v=OkEXwpKvpv0>\\\n\\\n**Use Cases**\n\n* **In-product guidance:** Provide instant, hands-on help that points users exactly where they need to click.\n* **Onboarding & activation**: Reduce the learning curve (and time to value) by visually guiding new users through each step.\n* **Feature discovery**: Turn passive observers into power users by highlighting new releases in real time.\n\n**How It Works**\n\n1. **Invite Layup**: Treat us like a user in your product.\n2. **Contextual Learning**: We analyze and index your product workflows, referencing your KB/documentation for context.\n3. **Visual Guides**: Users follow the second cursor and chat overlay step-by-step, reducing friction and confusion.\n4. **Zero Maintenance**: The guides update themselves when your UI changes—no more tedious upkeep.\n\n**Get Started**\\\nReady to ensure every feature you build gets discovered and adopted?\n\n* **Schedule a time with us**: <https://cal.com/team/layup/founders>\n* **Learn more** at <https://layuplabs.ai>.",
        "url": "https://www.ycombinator.com/launches/Mv2-layup-guide-every-user-anywhere-in-your-product",
        "votes": 8,
        "created_at": "2025-02-27T18:16:19.251Z"
      },
      {
        "id": 86022,
        "title": "Layup: Guide your users. Right in your product.",
        "tagline": "Meet Layup, the second cursor that effortlessly guides your users with just one line of code.",
        "body": "**TL;DR:** Layup saves teams hours creating and maintaining in-product guides and help center content. We transform the way users interact with your products by offering real-time, adaptive assistance via a second cursor that spawns directly in your UI.\\\n\\\n**The Problem**\\\nUsers often struggle to discover relevant features or complete the tasks they want, even in products with thoughtfully designed interfaces. They don’t want to look through confusing instructions in a help center or be forced to go through a rigid product tour. \\\n\\\nTraditional user adoption platforms like Pendo, Whatfix, and WalkMe are outdated, expensive, and fragile. Product and growth teams invest countless hours tagging and setting up guides, only for them to become obsolete when a UI update is pushed. \\\n\\\nIt’s a cycle that drains resources and slows down your ability to support users effectively.\\\n\\\n**Our Solution**\\\nWith just one line of code, Layup powers a second cursor directly within your product that shows users how to do anything.\n\nCheck out our [demo](https://www.loom.com/share/e16cfe3f860441969cfb85a5c5cbd402?sid=1dd5cc59-f98c-4bee-ab38-1eab92764493) here!\n\n**How it Works**\n\n* **Step 1:** Invite Layup as a user to your app and add a single line of code to add Layup’s second cursor/chat widget in your UI.\n* **Step 2:** Set up is as easy as inviting Layup as a user to your product. We’ll learn every workflow in your product and tap into your knowledge base / documentation to contextualize them.\n* **Step 3:** Your users get tailored guidance instantly with a second cursor that guides them through tasks, new features, or onboarding. Layup’s AI adjusts automatically as your UI changes, ensuring users get uninterrupted support!\n\n**Use Cases**\n\n* **Customer support:** instantly show your users what to do rather than direct them to a help center or support chatbot\n* **User onboarding:** reduce the learning curve (and time to value) by visually guiding new users through each step\n* **Feature activation:** turn a passive observer into an engaged user by guiding them through the feature in real-time\n\n**Interested in learning more?**\n\n* If you’re interested in deploying Layup, schedule a time with us [**here**](https://cal.com/team/layup)! You can also check out our site at [**https://layuplabs.ai**](https://layuplabs.ai). We’ll work hand in hand with you to support your needs.",
        "url": "https://www.ycombinator.com/launches/MNS-layup-guide-your-users-right-in-your-product",
        "votes": 18,
        "created_at": "2024-12-04T15:55:09.760Z"
      },
      {
        "id": 81374,
        "title": "Layup: AI that puts retention & growth on autopilot",
        "tagline": "Layup turns your product usage data into touchpoints that drive retention and growth",
        "body": "### Do things that don’t scale, scalably.\n\nAt YC, it’s hammered into us to build what people want. It’s why we spend so much time talking to our earliest users, iterating as we see how they use our product, and understanding what they want next. This hands-on, founder-led motion—aka doing the unscalable—is a key accelerant to scaling. But the reality is - as you grow, you can’t continue to meaningfully engage with every customer. Retention and growth opportunities are left on the table, and both your revenue and roadmap suffer as a result.\n\n\\\nThat’s precisely why we built Layup. To enable you to act on every customer when it matters most. By integrating with your product usage data, Layup enables you to take optimal actions with customers at key points throughout their journey and retain & expand accounts. Layup is the simplest - and only - tool that you need to run and scale your post-sales growth motion.\n\n[Check out our video demo here!](https://www.loom.com/share/2a1398b080334514971cd4c6e099aed7?sid=3fde563d-53dd-463b-b228-3f26597c1450)\n\n* **A single platform for growth and retention**\n  * AI that drafts proactive, personalized outreach to your customers to demonstrate recurring value.\n\n![uploaded image](/media/?type=post&id=81374&key=user_uploads/1126674/3ba6d4bf-e9e4-480b-afb2-8ee313eda81b)\n\n* **Get 100% actively managed account coverage, instantly**\n  * Quickly get the insights you need on every customer and take action to expand accounts faster.\n\n![uploaded image](/media/?type=post&id=81374&key=user_uploads/1126674/a4fef682-d68a-44aa-a644-8c3d8d6ddfeb)\n\n* **Take the right actions every time**\n  * See real-time performance data to know what works and refine your actions to meet your goals.\n\n![uploaded image](/media/?type=post&id=81374&key=user_uploads/1126674/1b7230db-70bc-429a-a925-e05df8ec5dec)\n\n### Featured use cases for early-stage companies (we’ll set these up for you right out of the box!):\n\n* **_Drive adoption:_** reach out at key phases of onboarding to reduce time to value\n* **_Reengage users:_** reach dormant users to reduce the risk of churn\n* **_Retain and upsell_**: make key touchpoints when plan limit is approaching to drive growth\n\n### How it works\n\nLayup breaks down into two main components:\n\n* **Signals** – surface the best opportunities to take action from your product usage data\n* **Playbooks** – drive effortless personalized emails with AI to optimize growth and retention\n\n### Getting onboarded is easy:\n\n1. Bring your product data and CRM into Layup. We will work directly with you to map your usage data to the product signals that you want to track\n2. Set up playbooks to automate personalized emails when customers take targeted actions in your product\n3. Messages will load directly in your outbox every time a playbook is triggered. Simply review them and hit send\n\n### Our Asks\n\n* Check Layup out! Schedule a demo with us [here](https://meetings.hubspot.com/michael-lemm?uuid=627c0c46-6939-4418-9758-b0124a0ef65d).\n* We are actively working with early design partners to further build out our product and have 3 slots left. If you're interested in using Layup for your team and shaping the future of our product, please reach out at [founders@layuplabs.ai](mailto:founders@layuplabs.ai)!",
        "url": "https://www.ycombinator.com/launches/LAU-layup-ai-that-puts-retention-growth-on-autopilot",
        "votes": 24,
        "created_at": "2024-06-07T19:09:26.790Z"
      },
      {
        "id": 70272,
        "title": "Layup: Complete your workflows, with just one line 🏀⚡️",
        "tagline": "Turn prompts into workflows across all of your company’s software",
        "body": "Hey YC! [@Mike Lemm](https://www.linkedin.com/in/michael-s-lemm/), [@Badal Jain](https://www.linkedin.com/in/badaljain77/), and [I](https://www.linkedin.com/in/ryanxue/) are very excited to launch [Layup](http://www.layupai.com)! ⛹🏾‍♀️⛹🏽⛹🏻‍♂️\n\n# TL;DR\n\n**Layup is every employee’s AI-powered sidekick that builds workflows across all of their company apps.** With just one prompt, it can do things like create an MSA with data from Salesforce, export it to Google Docs, and instantly share it with the right people.\n\n### **The Problem**\n\nBads, Mike, and I have collectively worked across almost every type of company and have experienced firsthand just how tedious and repetitive it can be to find information and execute workflows across a company's full suite of apps. For example, hiring someone might mean pulling down compensation data from Pave, populating an offer letter in Greenhouse, then setting them up in Rippling when the candidate accepts. Even the most simple daily workflows can involve passing information between 3 and 5 different services.\n\nLayup turns this into a one-shot prompt. We're on a mission to help individuals and organizations streamline their daily tasks with simple prompts so that they can focus on what matters most. We’re moving fast – we now integrate with over 170 applications (and counting!), providing seamless configuration with any company’s knowledge base.\n\n### **How it works**\n\nWith one simple prompt – initiate instant, customized workflows to complete your everyday tasks.\n\n![uploaded image](/media/?type=post&id=70272&key=user_uploads/1126674/abcb0ba4-f052-4b6e-92e4-544490863632)\n\n### **Our Asks**\n\n• Check Layup out! Schedule a chat with us [here](https://calendly.com/mikes_layup/30min?back=1&month=2023-03).\n\n• Tell us what you think.\n\n• If you know of any other companies that you think would be interested in using Layup, we would appreciate any intros.\n\n![uploaded image](/media/?type=post&id=70272&key=user_uploads/1126674/ba45dd9d-7b89-4413-a3ef-cb7869a438e1)\n\nIf you have any questions, ideas, or just want to touch base, hit us up! We'd love to hear from you – [founders@layupai.com](mailto:founders@layupai.com)",
        "url": "https://www.ycombinator.com/launches/IHQ-layup-complete-your-workflows-with-just-one-line",
        "votes": 230,
        "created_at": "2023-03-14T18:11:15.132Z"
      }
    ]
  },
  {
    "id": 31413,
    "name": "Arga Labs",
    "slug": "arga-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e3d9a7c1d8ec13bb1565520e7fc7a6ca3a8fa82.png",
    "website": "https://www.argalabs.com/",
    "all_locations": "Vancouver, BC, Canada",
    "long_description": "We build environments to test your app and agents against the real world.\r\n\r\nDeploy your code/agent into a sandbox that runs against replicas of external services (Stripe, Slack, Google Drive, etc.). Twins support the same APIs, MCP tool calls & SDKs as the real software, and you can spin up thousands of instances in parallel and seed them using natural language. Run real workflows, surface edge cases, and observe how your code/agents actually behave before hitting production.",
    "one_liner": "Real-world sandboxes to test and train AI agents",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1771902214,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/arga-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arga-labs.json",
    "year_founded": 2025,
    "city": "Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/arga-labs",
    "x_url": "https://x.com/argalabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e3d9a7c1d8ec13bb1565520e7fc7a6ca3a8fa82.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7381be840cc53f07a0fbb3777682d7a01ba4d0bf.png"
    ],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 3010892,
        "full_name": "Phillip Li",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ Arga Labs.\n\nBuilt an internal dev tool to simplify making changes to Amazon.com - saves 10+ recurring weeks / year of SDE time, and prevented VP escalations due to bug issues. \n\nBefore that, I was a fencer on the Canadian Junior National Team and researched neuroscience at UBC\n\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/phillip-li-a28a84217/",
        "x_url": "https://x.com/PhillipLii",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6315d398b8ad4e31c2cd6813106cd8c7197b1d5.jpg"
      },
      {
        "user_id": 3202471,
        "full_name": "Akira Tong",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder, CTO @ Arga Labs\n\nPrev. SDE @ Stripe, quant @ GS\nSkipped high school, graduated @ 19\nPro player for Identity V, quit because I had to finish my finals :(",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akira-tong",
        "x_url": "https://x.com/akkkkiira",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/34882fa6d2511ba39680952d296af114887b5492.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Making AI Agents Ready for the Real World | Arga Labs",
        "url": "https://www.argalabs.com/blog/making-ai-agents-ready-for-the-real-world",
        "date": "Aug 26, 2026"
      },
      {
        "title": "The 11 standout startups from YC's Demo Day, according to VCs | TechCrunch",
        "url": "https://techcrunch.com/2026/06/18/the-11-standout-startups-from-ycs-demo-day-according-to-vcs/",
        "date": "Jun 18, 2026"
      }
    ],
    "launches": [
      {
        "id": 99708,
        "title": "Arga Labs: Real-world sandboxes for multi-app agents and software",
        "tagline": "Production-mirror sandboxes with digital twins of every SaaS integration",
        "body": "**tl;dr:** **become a 100x tester** with Arga by giving your agents staging environments scoped to a change. We spin up twins of your integrations (Slack, Stripe, etc.) and dependencies (DB, Redis), and deploy only the services that were changed. Everything else is routed to prod.\n\nLaunch Video: <https://www.youtube.com/watch?v=OzEk5pYTvak>\n\n**The problem: You’re a 1x tester**\n\n* You don’t have staging :(\n* You have staging, but it’s different from prod, and things still break after testing\n  * You mock integrations, which can be inaccurate\n  * You use real accounts to test integrations, but you hit rate limits, can’t clear states between tests, and can’t test at scale\n* You have staging, but your agents can’t automatically test changes so you’re stuck at being a 1x tester despite being a 100x engineer\n* You have staging, but it’s difficult to merge concurrent changes without breaking something (for larger teams!)\n\n**Our Solution**\n\nWe spin up a temporary staging of your app every time you open a PR. Only the services you change are redeployed; all other services are routed to prod. Your dependencies are deployed as in-memory sidecars, so nothing corrupts prod data. For example, you can configure the tests to read from the prod database and perform all write commands to the sidecar; you can also configure everything to be routed to the sidecar.\n\nWe also spin up twins of services your app uses: Stripe, Slack, GSuite, Hubspot, and more, so you don’t hit the real API. This lets you test more thoroughly: **you can catch weird edge cases, simulate failure modes, and run tests in parallel without worrying about rate limits.** All twins are fully compatible with any SDK, expose the same API endpoints, and support webhook events. You can seed any twin in natural language, or select from our pre-set scenarios.\n\n![uploaded image](/media/?type=post&id=99708&key=user_uploads/3010892/cf335c26-a032-4a1d-bcc1-6c4863946abc)\n\nDemo of Github, Slack, Stripe twins on the Arga app: <https://www.youtube.com/watch?v=3ZPrIdGvPoo>\n\nYou or your agent can prompt Arga via web, API, CLI, or MCP to **automatically generate tests for your PR, run them, and stream the results and logs back**. This allows them to know what was tested, what broke, and which calls/functions caused the failure. They can use this information to go back and fix the code, so you’ll have a fully-tested and passing PR before you look at it.\n\nValidation report:\n\n![uploaded image](/media/?type=post&id=99708&key=user_uploads/3010892/81258740-df00-46e1-9ba9-b2bbfd7a4572)\n\nClaude Code using arga CLI to read logs & test results:\n\n![uploaded image](/media/?type=post&id=99708&key=user_uploads/3202471/286496d9-28f2-4c01-a186-35235ed55189)\n\n**Our ask**\n\nTry us out! We’re live at [www.argalabs.com](http://www.argalabs.com) and you can get access to limited features for free. \\\nIf you like our stuff, book a demo here (<https://cal.com/phillip-li/30min>).\\\nIf you know any teams that struggle with testing and use lots of external integrations, send them our way.\n\n**The Team**\n\nAkira and Phillip met each other in first-year calculus at UBC. At the time, Akira was 14 and Phillip was studying neuroscience to pursue research in human biology. Within a year of pivoting to CS, Phillip built a dev tool at Amazon that saved 10 weeks / year of engineering hours as an intern. While interning at Stripe, Akira realized that a high-fidelity “staging” was the key to unlocking dev productivity and was surprised that most companies don’t have proper staging that actually mirrored prod. Now they’re solving that problem.\n\n![uploaded image](/media/?type=post&id=99708&key=user_uploads/3010892/3718524e-2a06-4aef-9bb2-0b6d9e18869e)\n\n",
        "url": "https://www.ycombinator.com/launches/PwC-arga-labs-real-world-sandboxes-for-multi-app-agents-and-software",
        "votes": 121,
        "created_at": "2026-04-13T19:58:01.818Z"
      }
    ]
  },
  {
    "id": 31414,
    "name": "Dreach",
    "slug": "dreach",
    "former_names": [
      "Drip"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8eec4067ada1ceb62324834a6da7831196618472.png",
    "website": "https://dreach.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "dreach watches your ATS and your network. when someone starts hiring, you get the manager who owns the role and your warmest way in.",
    "one_liner": "staffing firms with dreach grow revenue faster.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1777049103,
    "tags": [
      "B2B",
      "Recruiting",
      "Messaging",
      "Sales Enablement"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/dreach",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/dreach.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/joindrip",
    "x_url": "https://x.com/Drippaygmi",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/DripYCx26",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8eec4067ada1ceb62324834a6da7831196618472.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 3330353,
        "full_name": "Mike Levin",
        "title": "Founder/CEO",
        "founder_bio": "dreach watches your ATS and your network. when someone starts hiring, you get the manager who owns the role and your warmest way in.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mikelevin-/",
        "x_url": "https://x.com/mike_drip",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f6504e75ab0a729c79d4cb170d8d97794be178b.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 31416,
    "name": "Callab AI",
    "slug": "callab-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa8adf98dd895cf00084bc119e643a0794f80959.png",
    "website": "https://callab.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "58% of the $400B call center industry runs on on-prem phone systems, and until now bringing AI voice automation to them meant ripping out their entire infrastructure first. That's the largest unserved segment in the market. Callab AI connects directly to legacy PBX systems like Avaya, Cisco UCM, and Mitel, and automates up to 70% of call volume with zero migration needed.\r\n\r\nWe plug into these environments without requiring a rip-and-replace. We serve clients across three continents, including brands like Dunkin Donuts.",
    "one_liner": "AI voice agents for on-prem telephony stack. ",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1773416869,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/callab-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/callab-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/104352862/",
    "x_url": "https://x.com/callab_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
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        "user_id": 1938837,
        "full_name": "Haithem Kchaou",
        "title": "Founder/CEO",
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        "full_name": "Chehir Dhaouadi",
        "title": "Founder/CTO",
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      {
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        "title": "Growth Marketer",
        "url": "https://www.ycombinator.com/companies/callab-ai/jobs/bJqHpCR-growth-marketer",
        "location": "UA / PL / LT / EE / FR / ES / Remote (UA; PL; LT; EE; FR; ES)",
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        "role_type": null,
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        "url": "https://www.ycombinator.com/companies/callab-ai/jobs/D1R25qE-head-of-sdr",
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      {
        "id": 101754,
        "title": "Callab AI - AI voice agents for legacy phone systems.",
        "tagline": "AI voice agents for enterprise contact centers running on legacy phone infrastructure",
        "body": "Hey YC,\n\nWe are Haithem and Chehir - co-founders of  [Callab AI](https://callab.ai/). \n\n**The problem**\n\nThe global call center industry is worth $400B, and about 58% of it still runs on on-prem PBX infrastructure like Cisco UCM, Mitel, and FreeSWITCH. These systems have been in place for 20 years, with millions invested in deploying and maintaining them. They work, and they're not going anywhere.\n\nAI voice agents have been built on top of cloud telephony providers, which means every solution on the market today requires the customer to already be on cloud phone systems. If you're running on-prem, you're locked out. The only option is a full migration to cloud, which typically takes 12 to 18 months, costs a fortune, and frequently fails. Meanwhile, these same companies are dealing with 30 to 40% agent attrition rates, rising labor costs, and customers who won't tolerate hold times. They want automation but they simply can't access it.\n\nThat's a massive segment of a $400B market sitting there with no solution available to them.\n\n**What we built**\n\nCallab AI is a cloud-based AI voice platform that connects directly to on-prem PBX systems via SIP trunk integration. The phone system stays exactly where it is, calls get routed to our AI agents, handled, and returned. No rip-and-replace, no migration, and we go live in one week.\n\nWe automate up to 70% of inbound call volume across use cases like call routing, appointment scheduling, order status, and customer inquiries. The hard part is the integration layer itself, which requires going deep into legacy telecom infrastructure that most teams don't want to touch. We built it to work with any telephony stack, and that's what makes this possible.\n\nWe're YC P25 and currently expanding into the US, focused on hospitality, logistics, retail chains, and property management. Healthcare and financial services are on the roadmap once we complete HIPAA compliance.\n\n![uploaded image](/media/?type=post&id=101754&key=user_uploads/1938837/5d95733e-2ac9-45b4-8f2b-5ef8a8a3b8ca)\n\n**How we got here**\n\nWe didn't set out to become the on-prem PBX company. We started building AI voice agents in the Middle East and Africa, where cloud telephony providers don't operate, SIP trunks are state-regulated, and every contact center runs legacy infrastructure. We had no choice but to build our integration layer to work directly with whatever phone system was already on the ground. After plugging into old telecom stacks, we realized the problem we solved out of necessity in MEA is the exact same problem sitting untouched in the US. The constraint that shaped our product in a harder market turned out to be a global advantage.\n\n**How you can help**\n\nIf you know anyone at a company running a legacy phone system or on-prem contact center, we'd love an intro. Hotels, restaurant groups, logistics operators, large retail, or property management are all ideal. Also happy to connect with anyone who's worked with managed service providers, value-added resellers, or sold into enterprise telecom IT. Drop me a note.",
        "url": "https://www.ycombinator.com/launches/QTC-callab-ai-ai-voice-agents-for-legacy-phone-systems",
        "votes": 14,
        "created_at": "2026-05-22T15:09:13.748Z"
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    "id": 31417,
    "name": "Pairio",
    "slug": "pairio",
    "former_names": [
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    "website": "https://pairio.com",
    "all_locations": "BY, Germany",
    "long_description": "Pairo is an AI mobile app to help technicians fix broken equipment in factories. Users just take a picture of the broken machine and we search thousands of pages of manuals to find the right solution.",
    "one_liner": "AI mobile app that helps factory technicians fix broken machines",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1776390899,
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    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "Europe"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/pairio",
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    "city": null,
    "country": "DE",
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        "user_id": 2202789,
        "full_name": "Tim Zinkl",
        "title": "Founder/CEO",
        "founder_bio": "Grew up in Brazil, Spain and China, studied in the UK and Germany. Built up a successful events business during my undergrad until COVID hit. ",
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      {
        "id": 100014,
        "title": "Pairio – Fix broken equipment in factories faster",
        "tagline": "AI-native industrial maintenance software",
        "body": "Hey everyone 🙂\n\nWe’re [Tim](https://www.linkedin.com/in/timzinkl/) and [Matthias](https://www.linkedin.com/in/matthias-wolf/), co-founders of Pairio\n\n**TL:DR:**\n\n**Machine downtime in manufacturing is expensive. Pairio helps technicians and operators resolve faults faster with voice AI.**\n\n4 plants in Germany are already using Pairio to reduce equipment downtime.\n\n**Ask:** Can you introduce us to plant and maintenance managers at US manufacturing firms? Contact us at [tim.zinkl@pairio.com](mailto:tim.zinkl@pairio.com)\n\n<https://www.youtube.com/watch?v=kmUBOkAU33M>\n\n**The Problem**\n\nUnplanned equipment downtime costs global industries over $1.4 trillion every year – and the root cause isn't broken machines. It's broken knowledge transfer.\n\n* When a machine fails, resolution speed depends almost entirely on whether the one guy who's seen this before is working that day\n* Valuable technical clues are buried somewhere across 400 pages of OEM manuals or locked in outdated software\n* After spending 6 hours getting the line back up, the last thing a technician does is sit down and write a detailed fault report to institutionalize their knowledge\n\nWith the average technician in the US now 50 years old, knowledge is literally walking out the door, further compounding the problem for years to come.\n\n**Our Solution**\n\nWe have shown at 4 factories in Germany that removing these barriers can lead to higher equipment uptime – and the effect compounds with every fault processed with Pairio.\n\nWith our voice-first approach we empower technicians and operators to:\n\n* Simply ask and instantly receive any available technical clue\n* Speak and let Pairio structure their learnings into reusable know-how\n* Use photos and videos to capture even more contextual knowledge\n\nBy focusing on capturing the reality on the shop floor we are building the foundation for agentic workflows that eliminate off the wrench time and optimize equipment uptime.\n\n![uploaded image](/media/?type=post&id=100014&key=user_uploads/2202789/cd939477-89e2-4aa6-8f61-b349edb9c4a8)\n\n**The Ask**\n\nIf you know anyone in plant operations or maintenance in US manufacturing we’d love to talk with them – happy to hook you up with some of Munich’s finest beers as a gesture of gratitude.\n\n**The Team**\n\nWe met 4 years ago at an entrepreneurship scholarship from the Technical University of Munich. Matthias worked as the first engineer at Lio (YC S23) and Tim as the second employee at the battery recycling startup tozero.\n\n![uploaded image](/media/?type=post&id=100014&key=user_uploads/2202789/bc467fea-55a9-423c-b8f3-ff1c7248986c)\n\n",
        "url": "https://www.ycombinator.com/launches/Q18-pairio-fix-broken-equipment-in-factories-faster",
        "votes": 23,
        "created_at": "2026-04-21T17:24:51.584Z"
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    "id": 31421,
    "name": "Lamina Labs",
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    "website": "https://laminalabs.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lamina Labs is building infrastructure for near-real-time structured video generation.\r\n\r\nMost AI video is built for cinematic clips. Lamina is built for useful videos that break down ideas, workflows, and AI answers. Our first product, Simi, turns prompts and documents into whiteboard-style explainer videos in seconds",
    "one_liner": "Near-real-time video infrastructure for LLMs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1773199517,
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    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/lamina-labs",
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    "year_founded": 2025,
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    "country": "US",
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      "url": "https://www.ycombinator.com/people/pete-koomen"
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        "full_name": "Sudip Rokaya",
        "title": "Founder/CEO",
        "founder_bio": "Sudip is co-founder of Lamina Labs, building the video infrastructure for LLMs. He studied CS and Math at MIT and did ML research at MIT's McGovern Institute. He represented Nepal at the International Olympiad on Astronomy & Astrophysics as his team's top scorer, and has published two math papers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sudip-rokaya-675604279/",
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      {
        "user_id": 1099724,
        "full_name": "Kartikesh Mishra",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Lamina Labs (YC P26) | EECS @ MIT BSc' 24 MEng' 25 ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mk314k/",
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      {
        "id": 104668,
        "title": "Simi: The Fastest AI Whiteboard Explainer Video Generator",
        "tagline": "The Fastest Way to Generate Whiteboard Explainer Videos from a Single Prompt or Documents",
        "body": "**TL;DR:** Simi is the fastest, easiest, and most cost-effective way to create whiteboard explainer videos. You give it a prompt or a document. It writes the script, draws the illustrations, animates them, adds narration, and hands you a finished video in seconds. Anything from a one minute short to a full hour, in one shot, in 80+ languages. Built by Lamina Labs (YC P26). Use it through the app or the API for training, onboarding, product walkthroughs, sales, marketing, and education at <https://laminalabs.ai>.\n\nHere is an explainer video about Lamina Labs: <https://www.youtube.com/watch?v=RLuOCdamcHE>\n\n## Why we built this\n\nAI video right now is built to look like a movie, not to explain something.\n\nBut most of the video people actually need at work is the boring kind. A training module. An onboarding flow. A walkthrough of the feature you shipped last week. And making one of those is absurdly slow. You either pay an agency thousands of dollars and wait weeks, or you sit in a template editor dragging boxes around for an afternoon and it still looks like you dragged boxes around.\n\nThat is fine if you need one video. It falls apart the moment you need a hundred. A course. Every feature documented. Onboarding in every language your customers speak. Anyone who has priced that out knows the math does not work.\n\n## How it works\n\nYou type what you want. Simi writes the script, draws and animates it, and gives you a properly narrated video in seconds.\n\nThat is the whole thing. No storyboard, no timeline, no boxes to drag. Type \"explain how photosynthesis works,\" or hand it a long compliance doc, and you get a finished video, not a draft. And it does not choke on length. One minute to a full hour, generated in a single shot.\n\nIf your team makes videos, you should be using this.\n\n## What people make with it\n\nTraining and onboarding videos from the docs you already have. Product walkthroughs, one per feature, updated as fast as the product changes. Sales and marketing explainers, in every market you sell into. Course and lecture videos in the Khan Academy style. Faceless YouTube channels and localized social video at volume. Agencies run it through the API to produce explainer videos for their clients.\n\n## What makes it different\n\nAn agency gives you a video in weeks for thousands of dollars. Simi gives you the same video in seconds for a fraction of that. That is the whole pitch, and it is enough.\n\nA few things worth knowing beyond speed. It generates anything from a minute to an hour in one shot. It speaks 80+ languages, so you write once and localize everywhere. And it is built to plug in. Use the app, call the API from your own product, or run it inside agent frameworks like OpenClaw and Nous Research's Hermes.\n\n## Who we are\n\nWe are Sudip and Kartikesh, the founders of Lamina Labs, and Simi is the first thing we have built. We are both from Nepal. We met at MIT and started building together there. We are the first Nepalese founding team to go through YC.\n\nSimi is named after Simikot, the Himalayan village where Sudip grew up. We started with education because that is where this problem hurt us personally. But it is everywhere. Any time someone needs to turn an idea into a clear picture, that is us.\n\n![uploaded image](/media/?type=post&id=104668&key=user_uploads/2592448/ddd4246e-1dae-4302-8e33-7c51d0264d6b)\n\n## Our asks\n\nIf your team spends real money or real time making explainer, training, or onboarding videos, talk to us: [founder@laminalabs.ai](mailto:founder@laminalabs.ai)\n\nWe would love intros to L&amp;D leaders, to agencies making video at volume, and to founders who want video generation inside their own product through the API.\n\nAnd if you just want a video explaining your own startup, **try it:** <https://app.laminalabs.ai> \\\n**Learn more:** <https://laminalabs.ai>",
        "url": "https://www.ycombinator.com/launches/REC-simi-the-fastest-ai-whiteboard-explainer-video-generator",
        "votes": 32,
        "created_at": "2026-07-04T06:24:17.819Z"
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    "id": 31423,
    "name": "BentoLabs AI",
    "slug": "bentolabs-ai",
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    "website": "https://bentolabs.ai/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "BentoLabs is the monitoring and learning layer for long-running agents. We detect when agents silently fail or drift from the user's goal, system prompt, or tool contracts, show affected users and root cause, and suggest the prompt, skill, or harness fix.\r\n\r\nAs more teams deploy agents, keeping them reliable in production becomes mission-critical. Bento sits directly in the production loop and gives teams the operational leverage required to scale agent ecosystems without scaling human firefighting alongside them. The result is a system that turns opaque agents into agents that can be monitored, debugged, and improved continuously.\r\n\r\nThe founders learned this problem at Emergent (YC S24), where they built and operated production coding agents used by 5M+ users. Abhinav was hire #1 and helped Emergent hit SWE-Bench #1 and scale from $0 to $100M ARR in just 8 months. Kaushik was hire #2, led full-stack engineering at Emergent, and was key to building the infrastructure that made production agents reliable, observable, and debuggable. Bento's self-learning engine has also lifted ARC-AGI-3 (internal) by 2.6x and Terminal-Bench 2.0 (internal) from 42.2% to 52.4% pass@1 with the same model, tools, and budget.",
    "one_liner": "Monitoring and learning layer for long-running agents",
    "team_size": 5,
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    "launched_at": 1779852780,
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    "url": "https://www.ycombinator.com/companies/bentolabs-ai",
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    "year_founded": 2026,
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    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/bentolabs-ai",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Kaushik ASP",
        "title": "Founder",
        "founder_bio": "Kaushik was hire #2 at Emergent (YC S24), where he led full-stack engineering, built the initial infrastructure for long-running agents, and shipped the mobile-dev agent that converted ~50% better than any other. Previously Decathlon, Pazcare, and Synup.",
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        "title": "BentoLabs AI: Monitoring and Learning layer for long-running agents",
        "tagline": "Get model-jump-sized gains without changing the model: Your agents learn from every production failure",
        "body": "# **BentoLabs AI: the monitoring and learning layer for long-running agents**\n\n**TL;DR**: BentoLabs AI is the monitoring and learning layer for long-running agents. We detect when agents silently fail or drift from the user's goal, system prompt, or tool contracts, show affected users and root cause, and suggest the prompt, skill, or harness fix. Run 101 is measurably better than run 1.\n\n<https://youtu.be/nu6Oir3OGSM>\\\n\\\nHello everyone, we're Abhinav and Kaushik, co-founders of BentoLabs AI.\n\nAfter spending two years at Emergent (YC S24), building and operating production coding agents used by 5M+ users, helping scale from 0 to $100M ARR and topping SWE-Bench twice. We realised as more teams deploy agents, keeping them reliable, observable, debuggable and continuously improving in production becomes mission-critical. Most teams don't have a system for it. They have engineers.\n\n### **The Problem:**\n\nMost production agents fail silently. You have 10,000 traces a day and zero visibility into reasoning drift until a support ticket pops up. That's the easier half! The harder problem is that nothing your agent figures out on one run carries into the next. An agent might solve a complex edge case on run 47, but because nothing carries forward, it burns your budget rediscovering the same fix on run 48.\n\nThis makes production teams spend hours reading logs in one tab just to manually patch prompts in another, on a loop that never closes.\n\n### **The Solution:**\n\n**BentoLabs AI** The monitoring and learning layer for long-running agents.\n\n**Monitoring:** BentoLabs finds every failure instance across your production traces, classifies it, and tracks it before the support ticket pops up.\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/55f2be9c-2363-4f4d-b3cc-98e803c9dbe6)\n\n**Learning:** BentoLabs captures what your agent figures out on every run and makes sure it carries into the next one. Recurring failures get fixed once and stay fixed. Hard-won solutions become reusable. Run 101 starts from everything runs 1 through 100 learned, not from zero.\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/84d43836-11f5-4684-9465-8b02ab715a52)\n\n### **The Proof:**\n\n**Terminal-Bench 2.0 (Internal Run):** we validated our recursive learning engine on Terminal-Bench 2.0, one of the most demanding agentic-shell benchmarks in the field today. Where the official Claude Sonnet 4.5 baseline scores 42.2% pass@1. Our agent scored 52.4%, with the same agent, same model, same budget.A +10.2 percentage-point lift, statistically significant (p &lt; 0.05), with 13 tasks showing wins ≥ +20 pp and only 3 showing losses ([Deep Dive](https://bentolabs.ai/blog/tb2-recursive-learning-lift))\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/016f2897-dcb5-4137-a658-98e0e7ccf525)\n\n\\\n**ARC-AGI-3 (Internal Run):** To see our engine in action, we took on ARC-AGI-3 (25 interactive puzzle games, the hardest agent benchmark we could find). While frontier models score 0.2–0.3% out of the box, 3 games the agent had never solved across \\~30 prior runs were cracked for the first time. ([Deep Dive](https://bentolabs.ai/blog/self-learning-ai-agents-arc-agi))\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/3c51a5a5-c620-41f6-9ae0-23d9f3dda903)\n\n**Why we're building BentoLabs**\n\nWe were the engineers who were the fix for the last 2 years at Emergent, where we spent thousands of hours staring at traces, and watching teams burn hours of their best engineers' time on patching prompts, correcting tool definitions and experimenting with different skills, hoping something will stick. We are building [BentoLabs AI](https://bentolabs.ai/) to move past this repetitive cycle.\n\nWe're already working with teams at unicorn scale. Every conversation with a team running agents in production confirms the same thing: the problem is universal. BentoLabs gives them the operational leverage to scale their agent ecosystems without scaling human firefighting alongside them.\n\nIf your engineers are doing the logs-and-patches rotation or your agents keep hitting the same failures, let's have a [chat.](https://cal.com/team/bentolabs-ai/platform-demo?overlayCalendar=true) Or Email: [abhinav@bentolabs.ai](mailto:abhinav@bentolabs.ai)/ [kaushik@bentolabs.ai](mailto:kaushik@bentolabs.ai)\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/712dcafd-cfe4-42ab-8af8-30aadcbf545d)\n\n",
        "url": "https://www.ycombinator.com/launches/Qcw-bentolabs-ai-monitoring-and-learning-layer-for-long-running-agents",
        "votes": 83,
        "created_at": "2026-06-01T05:47:59.520Z"
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    "id": 31424,
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    "website": "https://lab0.ai",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Enterprise software implementation is broken,  and it has been for decades. \r\nEvery rollout, whether it's a traditional ERP or a new AI system, requires months of manual integration, configuration, and tuning done by armies of system integrators and forward-deployed engineers. \r\nLab0 builds agentic systems that automate this layer, compressing months-long implementations into weeks.",
    "one_liner": "AI FDEs to make your B2B SaaS Go Live in Days, not Months",
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    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "South Asia"
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    "stage": "Early",
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    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/lab0-hq",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
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        "user_id": 2088764,
        "full_name": "Onkar Borade",
        "title": "Founder/CEO",
        "founder_bio": "Lab0 | IITB CSE | \nRebuilding the services industry through a Productized Approach ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/onkar-borade/",
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      {
        "user_id": 881443,
        "full_name": "Lakshya Gupta",
        "title": "Founder/CTO",
        "founder_bio": "Building agents to deploy agents at Lab0.ai. Always down to talk about model quirks.\n\nPreviously was a founding engineer at Emergent (YC S24) - scaled it from 0 to $70M ARR - leading integrations, evals and deployments. \n\nStudied Computer Science at IIT Bombay. \n\nMore brags - \nWas All India Rank 12 in JEE Advanced 2020 and won a Bronze medal for India at the Asian Physics Olympiad 2019 held in Australia. \n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lakshya-gupta-0030771ba/",
        "x_url": "https://x.com/tokenaware",
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      {
        "user_id": 2014953,
        "full_name": "Sujay Srivastava",
        "title": "Founder",
        "founder_bio": "Striving towards 0-day Enterprise software Implementation with Lab0 (YC P26)\nIIT Madras Quantum Computing grad\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sujaysriv/",
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        "id": 102876,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/hlPvGkT-founding-engineer",
        "location": "Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$30K - $60K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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      {
        "id": 109013,
        "title": "Founding Product Marketer (AI-native)",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/BEZKXau-founding-product-marketer-ai-native",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹1.5M - ₹4M INR",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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      {
        "id": 111521,
        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/mb7xcXo-forward-deployed-engineer-fde",
        "location": "Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$35K - $70K",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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        "id": 115426,
        "title": "Founding GTM (AI-native)",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/WODO2Yc-founding-gtm-ai-native",
        "location": "Bengaluru, KA, IN",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$25K - $50K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 101609,
        "title": "Lab0 - AI FDE for Enterprise Software",
        "tagline": "Deploy enterprise software in days, not months",
        "body": "Enterprise software takes months to go live after the sale. Imagine paying for an app on the app store but not being able to use it for 6 months. [Lab0](https://lab0.ai/) solves exactly this.\n\nWe’re building an AI FDE that automates entire post-sales delivery for software companies - all from discovery, solution design, config, to testing and go-live. We’re currently working with Adobe and a couple of system integrators.\n\nThe future of enterprise software is self-serve, where enterprises buy a product, and it gets configured by agents.\n\n[Lab0](https://www.linkedin.com/company/lab0-hq/) is the AI FDE making that real: 6 months → 10 days.\n\n<https://youtu.be/UDrqfnYWlLI>\n\n# **The problem**\n\nIf you've sold to an enterprise, you know this already.\n\nA $200K contract lands. Hand off to post-sales. On a deeper technical discovery of your client’s processes, you realize you need a lot of custom changes to serve them.\n\nThat's the hidden tax on every enterprise sale, 3 months of bespoke FDE / Solution Architect’s work, rebuilt from scratch for every customer. That’s 3 months of lost value for the customer.\n\nEither you wait months to start billing, or somehow show enough ROI in the remaining duration of the contract to get a renewal.\n\n# **What we built**\n\n[Lab0](https://www.ycombinator.com/companies/lab0) is the AI FDE for your (AI?) B2B SaaS. It joins discovery calls and tells you what to ask, generates handoffs, design documents and test plans. It even configures the product, writes custom integrations and tests all the workflows before signing off.\n\n_Six months of services work, done in days._\n\n# **Who we are**\n\n[Onkar Borade](https://www.linkedin.com/in/onkar-borade/) , CS grad from IIT Bombay, saw the problem from inside Oracle, where the implementation team was bigger than the dev team.\n\n[Lakshya Gupta](https://www.linkedin.com/in/lakshya-gupta-0030771ba/) , also CS from IIT Bombay, was an early engineer at Emergent Labs where he scaled the Agent platform from 0 to $100M in ARR with over 5M users.\n\n[Sujay Srivastava](https://www.linkedin.com/in/sujaysriv/) , quantum computing grad from IIT Madras, was building an AI startup for BFSI, where every rollout felt like its own custom project.\n\nWe've sat on every side of an enterprise deployment, and [Lab0](https://www.linkedin.com/company/lab0-hq/) is the software we wished we'd had on every one of those projects.\n\n# **Our ask**\n\n**1. Are you a company selling to enterprises where implementation is eating your team's time?** We'll take one of your hardest customer deployments and run it end-to-end; you'll see the value firsthand.\n\n**2. Intros to Professional Services leaders / Customer Success / Solutions Architects** at enterprise software companies with 20+ person implementation teams. If you've seen this pain from a previous job - even from across the aisle in a product or engineering role, a warm intro goes a long way.\n\nDrop an email at [founders@lab0.ai](https://mail.google.com/mail/?view=cm&fs=1&to=founders@lab0.ai)\\\nor\\\nBook a call at [Lab0-Calendly_Link](https://calendly.com/d/ctzx-ndw-n8b/office-hours-with-lab0)",
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        "votes": 20,
        "created_at": "2026-05-20T03:31:19.320Z"
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    "id": 31426,
    "name": "Gojiberry AI",
    "slug": "gojiberry-ai",
    "former_names": [
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    "website": "https://www.gojiberry.ai",
    "all_locations": "Paris, Île-de-France, France; Remote",
    "long_description": "Gojiberry is building the AI GTM team for B2B companies.\r\n\r\nWe start with outbound: Gojiberry finds buyers showing intent, enriches them, reaches out, follows up, handles replies, and books qualified meetings.\r\n\r\nCompanies use Gojiberry to replace the old way of doing outbound: buying tools, hiring SDRs & agencies, testing lists, writing messages, and guessing what works. Gojiberry turns it into one AI team that finds buyers and books meetings.\r\n\r\nEvery campaign makes Gojiberry smarter. It learns which buyers convert, which signals matter, which messages get replies, and which actions create revenue. Over time, Gojiberry uses what works across similar companies and industries to help every new customer get better results from day one.\r\n\r\nLong term, Gojiberry will become the system that finds every revenue opportunity and acts on it: outbound leads, website visitors, inbound leads, old CRM leads, replies, meetings, CRM updates, new campaign ideas, and account expansion.\r\n\r\nThe goal is to make every B2B company able to run a high-performing GTM team without hiring one.\r\n\r\nWe grew from $0 to $2.5M ARR in 10 months, are growing 30% MoM, profitable, and used by 2,000+ customers.\r\n\r\nCustomers get 2-5x more positive replies than traditional outbound.",
    "one_liner": "AI Go-To-Market agents for B2B teams",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
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    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "Europe",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "year_founded": 2025,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/in/pelall/",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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    "founders": [
      {
        "user_id": 2154047,
        "full_name": "Pierre-Eliott Lallemant",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Gojiberry AI | AI Go-To-Market agents for lean sales teams | 1x Exit ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pelall/",
        "x_url": "https://x.com/pierreeliottlal",
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      },
      {
        "user_id": 2152249,
        "full_name": "Romàn Czerny",
        "title": "Founder/CMO",
        "founder_bio": "Co-Founder & CMO of Gojiberry AI | AI GTM agents for lean sales teams | 1x Exit (CoCo AI)\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rom%C3%A0n-czerny-11b773199/",
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      },
      {
        "user_id": 3191646,
        "full_name": "Dylan TEIXEIRA",
        "title": "Founder/CTO",
        "founder_bio": "Co‑founder and CTO of Gojiberry (AI GTM agents for lean sales teams), previously co‑founded Edusign, a paperless attendance SaaS that grew to multi‑million ARR before I sold in 2025.",
        "is_active": true,
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        "id": 112681,
        "title": "Founding Customer Success Manager - Teams & Growth",
        "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/FNfSZmG-founding-customer-success-manager-teams-growth",
        "location": "DE / FR / PT / ES / NL / GB / AU / PL / CZ / RO / LV / LT / EE / HR / GR / Scotland, GB / BE / SI / SK / DK / NO / SE / FI / HU / BG / Remote (DE; FR; PT; ES; NL; GB; AU; PL; CZ; RO; LV; LT; EE; HR; GR; Scotland, GB; BE; SI; SK; DK; NO; SE; FI; HU; BG)",
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        "role_type": null,
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        "id": 114426,
        "title": "Founding Customer Success Manager - Teams & Growth",
        "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/Eh2JrP3-founding-customer-success-manager-teams-growth",
        "location": "BR / AR / MX / VE / CO / CL / UY / PE / Remote (BR; AR; MX; VE; CO; CL; UY; PE)",
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      {
        "id": 114755,
        "title": "Account Executive / Sales Rep - AI / GTM",
        "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/w4u7Gj0-account-executive-sales-rep-ai-gtm",
        "location": "FR / IT / DE / GB / PT / ES / BE / NL / DK / NO / SE / FI / SI / SK / CZ / PL / RO / GR / Scotland, GB / HR / BG / ME / AT / HU / LT / LV / EE / Remote (FR; IT; DE; GB; PT; ES; BE; NL; DK; NO; SE; FI; SI; SK; CZ; PL; RO; GR; Scotland, GB; HR; BG; ME; AT; HU; LT; LV; EE)",
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        "role": "Sales",
        "role_type": null,
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        "equity_range": "",
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      },
      {
        "id": 115680,
        "title": "Account Executive / Sales Rep - AI / GTM",
        "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/8csZWPm-account-executive-sales-rep-ai-gtm",
        "location": "FR / IT / DE / GB / PT / ES / BE / NL / DK / NO / SE / FI / SI / SK / CZ / PL / RO / GR / Scotland, GB / HR / BG / ME / AT / HU / LT / LV / EE / Remote (FR; IT; DE; GB; PT; ES; BE; NL; DK; NO; SE; FI; SI; SK; CZ; PL; RO; GR; Scotland, GB; HR; BG; ME; AT; HU; LT; LV; EE)",
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      },
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        "id": 116146,
        "title": "Account Executive / Sales Rep - AI / GTM",
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        "location": "US / Remote (US)",
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        "id": 116357,
        "title": "Account Executive / Sales Rep - AI / GTM",
        "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/lIISMms-account-executive-sales-rep-ai-gtm",
        "location": "GB / Remote (GB)",
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      {
        "id": 99079,
        "title": "GojiberryAI - AI GTM brain that detects buying intent, runs conversations, and books qualified demos automatically",
        "tagline": "We turn hours of manual prospecting into a predictable flow of qualified demos by handling the entire GTM execution.",
        "body": "Hey everyone, we’re [Pierre-Eliott](https://www.linkedin.com/in/pierre-eliott-lallemant-343a2b199/), [Romàn](https://www.linkedin.com/in/rom%C3%A0n-czerny-11b773199/) and [Dylan](https://www.linkedin.com/in/dylan-txa/) - cofounders of [GojiberryAI ](https://gojiberry.ai)👋\n\n\\\n**TL;DR**\n\n**\\\nGojiberryAI identifies high intent leads, detects real buying signals, and automatically launches personalized conversations on LinkedIn from one single platform.**\n\nWe scaled from $0 to $1.4M ARR in 9 months and have already generated millions in pipeline for our customers.\n\nWhat makes us unique is how quickly we identify real buying signals within your ICP.\n\nOn average, our customers see 2 to 5x higher reply rates with GojiberryAI thanks to high intent lead targeting.\n\n[**https://youtu.be/wlzk3LHZklU**](https://youtu.be/wlzk3LHZklU)\n\n**_Ask:_** Are you currently looking to generate more qualified demos?\n\nLet’s show you how.\n\nTry our [free trial ](https://gojiberry.ai)here or [book a demo](https://calendly.com/roman-gojiberry/gojiberry-ai-demo-with-the-founders-clone-1) here.\n\n# 🔴 **The problem**\n\nThe B2B sales market runs on millions of companies trying to generate pipeline every day.\n\nYet most teams still use a stack of tools that don’t really work together.\n\nSo what happens:\n\nMost outbound goes to people who will never buy\n\nReply rates stay stuck around 2–3%\n\nThe best opportunities are missed or reached too late\n\nThere’s no real system behind it :\n\nYou don’t know which ICP actually converts.\n\nYou don’t know which signals matter.\n\nAnd every time you launch a new campaign, you’re basically starting from scratch.\n\nMost tools just execute. They don’t learn. They don’t improve.\n\nSo you keep sending more messages, hoping something works.\n\nThat’s exactly where our GTM Brain comes in to fix this.\n\n# ✅ **What we built**\n\n![uploaded image](/media/?type=post&id=99079&key=user_uploads/2152249/40b7c25b-4fb7-4775-98c3-832c661c5a08)\n\nGojiberryAI is the GTM brain for modern sales teams.\n\nWe started with outbound and are building toward owning the entire pipeline generation stack.\n\nToday we handle:\n\nHigh intent lead detection : we track buying signals across LinkedIn and identify prospects who are actually in market\n\nLead enrichment and scoring : every lead is qualified based on ICP fit and real intent signals\n\nPersonalized outreach : we automatically generate and send messages tailored to the exact trigger event\n\nConversation management : follow ups are handled intelligently to turn replies into booked meetings\n\nOur goal is simple: replace the fragmented stack of scraping tools, CRMs, and outreach tools with one system that actually drives pipeline.\n\n# 📈 **Traction**\n\n$0 → $112K MRR in 9 months, 44% MoM growth\n\n1000+ paying customers\n\nOur customers see 2 to 5x higher reply rates compared to traditional outreach.\n\n# [**👬**](https://emojipedia.org/men-holding-hands) The Team\n\nRomàn, Pierre-Eliott, and Dylan have worked closely together and co-founded GojiberryAI, the GTM Brain for small sales teams.\n\nPierre-Eliott (CEO) is a French entrepreneur and repeat founder. He previously co-founded and exited CoCo AI. He leads product, vision, and company strategy, driving GojiberryAI’s positioning and execution as it scales toward $10M+ ARR.\n\nDylan (CTO) is a French entrepreneur and co-founder of GojiberryAI. He previously co-founded Edusign, a paperless attendance SaaS that scaled to multi-million ARR before being sold in 2025. He leads engineering and AI systems, building the infrastructure that enables real-time intent detection, automated outreach, and end-to-end conversation management.\n\nRomàn (CMO) is a French entrepreneur and repeat founder. He previously co-founded CoCo AI, a Shopify app that grew to \\~$500K ARR before being sold in 2025. He leads go-to-market, growth, and distribution, with a strong focus on turning high-intent signals into pipeline and revenue.\n\n![uploaded image](/media/?type=post&id=99079&key=user_uploads/2152249/3c71b87b-c41b-42f3-89d0-0fab0ea51516)\n\n**_Ask:_** Are you currently looking to generate more qualified demos?\n\nLet’s show you how.\n\nTry our [free trial ](https://gojiberry.ai)here or [book a demo](https://calendly.com/roman-gojiberry/gojiberry-ai-demo-with-the-founders-clone-1) here.",
        "url": "https://www.ycombinator.com/launches/Pm3-gojiberryai-ai-gtm-brain-that-detects-buying-intent-runs-conversations-and-books-qualified-demos-automatically",
        "votes": 34,
        "created_at": "2026-03-25T16:49:47.890Z"
      }
    ]
  },
  {
    "id": 31428,
    "name": "Ontora",
    "slug": "ontora",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51ba58b94e0a45c3a3cc270067fe72dcf1f9027e.png",
    "website": "https://ontora.com",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Ontora is an AI Agent that interviews every employee to map how work actually gets done and identify bottlenecks. Consultants spend months doing this manually; Ontora does it in hours.\r\n\r\n",
    "one_liner": "AI agents that interviews every employee to hand context to AI tools. ",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1773487694,
    "tags": [
      "Robotic Process Automation",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "Germany",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Max led process optimization at Porsche. David built data pipelines in finance. Leon built AI automations at consultancies. They all noticed critical knowledge is trapped inside people's heads and never reaches the people who need it.\r\n\r\nThe team then felt inspired to work on the problem after a tour to Stockholms fastest scaling startups organized by Max, where all three decided to quit their jobs and start a company. "
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Every company already has the answers to most of the questions leadership is asking.\r\n\r\nThe problem: those answers are scattered across hundreds of people, and there's never been a practical way to ask every single employee.\r\n\r\nSo leaders make crucial decisions with partial information or spend months and millions on external consultants to retrieve what the org already knows.\r\n\r\n**What we're building**\r\n\r\nOntora is an AI agent that has a real conversation with every employee in your company within hours.\r\n\r\nIt learns, follows up, and surfaces what people actually do and where they get stuck.\r\n\r\nWe deliver two things: a synthesized answer to the specific question leadership couldn't crack in their last business review (themed insights, process maps, automation roadmap with ROI), and a continuously refreshed operational context that humans and AI agents can both reason over."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Answers in hours instead of months. We imagine truly intelligence native companies that unlock the last proprietary data source left in the enterprise: operational knowledge living in your employees heads.\r\n\r\nEnabling cost reduction, post-merger integration, and AI transformation… within hours and at a fraction of the cost of traditional consulting."
      }
    ],
    "url": "https://www.ycombinator.com/companies/ontora",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ontora.json",
    "year_founded": 2026,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/ontora/",
    "x_url": "https://x.com/ontoratech",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/ontora",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/51ba58b94e0a45c3a3cc270067fe72dcf1f9027e.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/77783f688ca955fad6bf02d0bcff0d2288011691.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2750bcd85d7a83625c723e8099b143de9e784edb.png"
    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1846571,
        "full_name": "Leon Iwanowitsch",
        "title": "Founder/CEO",
        "founder_bio": "AI Consulting for Enterprise; 🇨🇭 University of St.Gallen (Europe's #1 Business School), Built Europe's largest Early-Stage StartUp Conference (7k participants e.g. Eric Schmidt), Helped raise 15m Solo GP Fund, Angel Investor",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/leon-j-iwanowitsch/",
        "x_url": "https://x.com/LeonIwanowitsch",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/091999d38e676fd36c0ab9735d1282401ca33cfe.jpg"
      },
      {
        "user_id": 2165528,
        "full_name": "Maximilian Arnold",
        "title": "Founder/COO",
        "founder_bio": "1st AI Engineer @ Porsche in procurement. CS at CODE University and Stanford. Won +$80k in hackathons. Built the official honors exchange partnership to Stanford. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arnold-max/",
        "x_url": "https://x.com/maxonary",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02f8fee9ed1318020c091b986f7dca072ada839b.jpg"
      },
      {
        "user_id": 1178744,
        "full_name": "David Korn",
        "title": "Founder/CTO",
        "founder_bio": "AI Projects @ Google, exited previous company to beglaubigt.de (YC F24), Computer Science at CODE University (founded by the largest German Unicorn founders)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/korn-david/",
        "x_url": "https://x.com/dav1dk0rn",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23e82b31b5c7d2f8705c94bdbec42ae0b85ac474.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Y Combinator P26: Ontora KI-Agenten, Verborgenes Wissen – Ieon Iwanowitsch, Maximilian Arnold, David Korn",
        "url": "https://startup-insider.com/podcast/y-combinator-p26-zwei-monate-alt-ki-agenten-weltweiter-inbound-ieon-iwanowitsch-maximilian-arnold-david-korn/",
        "date": "Apr 27, 2026"
      }
    ],
    "launches": [
      {
        "id": 102685,
        "title": "Ontora - The Discovery Layer for AI Transformation",
        "tagline": "5 enterprise customers, 150+ inbound demos (all a month after launch)",
        "body": "# **One month ago we launched Ontora. Here's what happened**\n\n### Our progress\n\n\\- 5 enterprise customers as design partners (many more to come ;)\\\n\\- 150+ inbound demo calls — we didn't do outbound, they came to us\\\n\\- $700K raised before officially opening our round\\\n\\- 80+ inbound VC calls already lined up for our fundraise\n\n<https://www.youtube.com/watch?v=vI8shNqqmRE>\n\nAnd we released our product live with our first customers !\n\n**1. Why companies are banging down our door:**\n\nEvery company we talk to has the same story: they bought Claude licenses for their teams but merely use it to rewrite emails. The AI transformation stalled because nobody mapped what to actually automate.\n\nThat's the real bottleneck. Not code. Context.\n\nA 800-person European media agency flew to San Francisco to meet us after realizing they'd need 4-5 months and a team of consultants just to understand their own operations. With Ontora, they can map their entire company in days.\n\n![uploaded image](/media/?type=post&id=102685&key=user_uploads/1178744/2bd9ca28-443a-46ef-af8c-ad76dd2d6a9f)\n\n**2. What Ontora does for your company:**\n\nOntora deploys AI agents that interview every employee in your company -- not once, but continuously -- to map out how work actually gets done. We turn that into a living context layer that your AI agents can act on.\n\nWhat used to take a consulting firm 4 months and 50-100 manual interviews, Ontora does in days. And because interviews run continuously, your context layer never goes stale. Your organization keeps learning about itself.\n\n![uploaded image](/media/?type=post&id=102685&key=user_uploads/1178744/56b07749-ae1e-4244-9064-d1dd122baecc)\n\nHere's how it works:\n\n1. **Deploy** -- Ontora's AI agents reach out to employees across your org through async interviews, meeting them where they work\n2. **Map** -- Every interview extracts processes, decision rules, tools used, handoffs, and tribal knowledge into structured operational maps\n3. **Act** -- The living context layer feeds directly into your AI agents and automations so they have the real-world context they need to perform\n\n<https://youtu.be/Culdmbt9uPE>\n\n**3. Who's already using Ontora:**\n\n* **A PE firm in San Francisco** -- deploying Ontora across portfolio companies to drive operational efficiency at speed no consulting firm can match\n* **A major European media agency (800+ employees)** -- building their corporate memory to manage enterprise customers like Volkswagen and Bosch\n* **A 1,000-person European roll-up** -- mapping what their remote workforce actually does day-to-day to build a concrete AI automation roadmap\n* **A US facilities maintenance marketplace** -- extracting the proposal rules and customer preferences locked in their sales team's heads to build the context layer for their AI automations\n\n**4. We want to hear from you:**\n\n* If your mid-market company (200-2,000 employees) is planning AI transformation...\n* If your PE/VC firm wants to drive efficiency across portfolio companies...\n* If your company spent 6 figures on consultants to map processes...\n\n...we need to talk.\n\n[ontora.com/demo](https://ontora.com/demo)",
        "url": "https://www.ycombinator.com/launches/QiD-ontora-the-discovery-layer-for-ai-transformation",
        "votes": 122,
        "created_at": "2026-06-08T17:25:40.562Z"
      },
      {
        "id": 99850,
        "title": "Ontora - Read your company like a book",
        "tagline": "We interview every employee to surface what no CEO can see",
        "body": "We’re [Max](https://www.linkedin.com/in/arnold-max/), [Leon](https://www.linkedin.com/in/leon-j-iwanowitsch/) and [David](https://www.linkedin.com/in/korn-david/) co-founders of [Ontora](https://ontora.com/).\\\n\\\n**TL;DR**\\\n**Ontora is an AI agent that interviews every employee in your company to map how work actually gets done.** Most operational knowledge never gets documented, it lives in people's heads. That’s crucial context inaccessible to decision-makers and AI agents.\\\n**_Ask:_** Imagine you could talk to every employee in your company within 24 hours - What would you ask? Send us your questions. We'll get you the answers: <https://cal.com/ontora/30min>\\\n\\\nOur Launch Video: <https://www.youtube.com/watch?v=JPk4_Nx31nU>\\\n\\\n**Problem**\\\n**Poor knowledge sharing costs Fortune 500 companies $31.5 billion every year.**\n\n* **The knowledge lives in people's heads:** 80% of operational knowledge is tacit and never documented\n* 42% of what an employee produced cannot be covered by other colleagues\n* Employees lose 5.3 hours per week searching for information and filling gaps\n* A 1,000-employee company loses $2.4M per year in productivity due to these gaps\n* **AI can't read minds (yet):** 95% of enterprise GenAI pilots deliver zero measurable business impact. Agents fail because they have no context for how operations actually run.\n\n**Solution**\\\nYou pick a question your last business review meeting couldn't answer. Ontora interviews every employee and gets you the insights within 24 hours.\\\nIt’s not a survey! A real conversation that digs deeper and surfaces what nobody thought to ask about.\\\nBuild your company's operational memory to finally operate with complete clarity:\n\n* **Synthesized findings**: Themed insights with impact ratings, an executive summary, and actionable recommendations\n* **Process mapping**: Visual process maps of how work actually flows across teams\n* **Automation roadmap**: Concrete opportunities with ROI estimates, ready to act on\n* **Proprietary context for your AI tools:** Ontora turns what your people know into a proprietary data source your AI stack can finally work with.\n\n  ![uploaded image](/media/?type=post&id=99850&key=user_uploads/1178744/68dcb300-dc42-4b79-aa10-9f8ec09af0f4)\n\n",
        "url": "https://www.ycombinator.com/launches/PyU-ontora-read-your-company-like-a-book",
        "votes": 144,
        "created_at": "2026-04-17T15:35:36.009Z"
      }
    ]
  },
  {
    "id": 31429,
    "name": "Oddpool",
    "slug": "oddpool",
    "former_names": [
      "Oddpool",
      "Benchspan"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbb613ad9cc7cb217457623774de2039f44ba7d6.png",
    "website": "https://www.oddpool.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Oddpool is a platform that helps quant funds and trading desks harness the power of prediction markets.\r\n\r\nAvi and Ritesh have been roommates since freshman year at Georgia Tech. Avi has a Master's in ML and saved Microsoft $6M/year by building a more accurate model on half the hardware. Ritesh has a Master's in Distributed Systems and made buy-side trading systems at Bloomberg 40% faster.",
    "one_liner": "Institutional infrastructure for prediction markets",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1773859660,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/oddpool",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/oddpool.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/oddpool/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbb613ad9cc7cb217457623774de2039f44ba7d6.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1579438,
        "full_name": "Ritesh Malpani",
        "title": "Founder/CEO",
        "founder_bio": "Founder, CTO @ Oddpool | Prev. SWE @ Bloomberg\nArchitected systems processing 100K+ TPS across trading infrastructure\n\nCS @ Georgia Tech\n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/ritesh-malpani",
        "x_url": "https://x.com/RiteshMalpani",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6fe956a5ab0d66ad3ab712546cc75c6a461df01.jpg"
      },
      {
        "user_id": 1189439,
        "full_name": "Avi Arora",
        "title": "Founder",
        "founder_bio": "Founder, CEO @ Oddpool | Prev. ML Researcher @ Microsoft\nTrained the prompt injection model at Microsoft which secures 20 billion requests / year \n\nCS @ Georgia Tech\n\n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/avi-arora/",
        "x_url": "https://x.com/c0delemons",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca22c46d86e2d65547eba721f1366ec2b77d4a2e.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 101199,
        "title": "Oddpool: The institutional data layer for prediction markets",
        "tagline": "Bringing the power of prediction markets to Wall St",
        "body": "Hey everyone 👋\n\nWe're **Avi** and **Ritesh** — co-founders of **Oddpool**.\n\n**TL;DR**\n\nOddpool helps quant and institutional desks harness the power of prediction markets. We make it easy to access, search, and analyze every venue from one place with the depth and history serious desks need.\n\n**Ask:**  If you're a quant fund, prop shop, market maker, or hedge fund using prediction markets data (or thinking about it), we'd love to talk. Reach us at [founders@oddpool.com](mailto:founders@oddpool.com)\n\n<https://youtu.be/dSG7gVU1M7w>\n\n**The Problem**\n\nData is the lifeblood of modern finance. Every desk, every strategy, every edge starts with it.\n\nYet prediction markets, one of the fastest-growing asset classes in the world, still lack the tooling that makes every other asset class easy for desks to adopt, leaving anyone trying to use this data stuck with three major pains:\n\n1. Fragmentation across venues with no shared symbology\n2. No tick-level history to backtest against\n3. Weeks spent normalizing data instead of generating signals\n\nThese compound the moment real money tries to enter, leaving a glaring problem to be solved.\n\n**Our Solution**\n\nOddpool provides a frictionless experience to start pulling, backtesting, and building on prediction market data from day one.\n\nWe focus on two core capabilities:\n\n1. Universal symbology that maps every market across every venue to one canonical identifier. \n\n   ![uploaded image](/media/?type=post&id=101199&key=user_uploads/1189439/52942888-443a-4724-8f78-a11827fcee9f)\n\n2. Tick-level history with full orderbook depth, every trade, and every delta, ready to backtest against \n\n   ![uploaded image](/media/?type=post&id=101199&key=user_uploads/1189439/3a45c427-444d-42fc-a3c7-06479f623cf2)\n\n\nOur mission is to drive the institutional adoption of prediction markets, so the world's most accurate signals can finally be used by the desks that move it.\n\n👉 If you resonate, please reach out to us here: [founders@oddpool.com](mailto:founders@oddpool.com)\n\n❤️ Check out our website: <https://www.oddpool.com>",
        "url": "https://www.ycombinator.com/launches/QKF-oddpool-the-institutional-data-layer-for-prediction-markets",
        "votes": 42,
        "created_at": "2026-05-11T17:49:20.071Z"
      }
    ]
  },
  {
    "id": 31432,
    "name": "Keyframe Labs",
    "slug": "keyframe-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca6ef21e7c765ce2b9f612cc2ec833a2654c6bd4.png",
    "website": "https://keyframelabs.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "We build human foundation models. Our first family of models powers lifelike avatars that interact with users in real time, enabling AI agents and applications to go beyond text and voice with just a few lines of code. State-of-the-art realism with ultra-low latency at scale.",
    "one_liner": "Bring AI to life with the world's best interactive avatars",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1774290085,
    "tags": [
      "Developer Tools",
      "SaaS",
      "B2B",
      "API",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/keyframe-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/keyframe-labs.json",
    "year_founded": 2025,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/keyframe-labs-inc",
    "x_url": "https://x.com/KeyframeLabs",
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        "title": "Keyframe Labs - turn AI into lifelike video calls",
        "tagline": "Bring AI to life with photoreal, conversational humans",
        "body": "**tl;dr:** our real-time, generative models turn AI into lifelike video calls. Deploy in minutes with a few lines of embed code. Photorealism, emotion, and scale for just $0.06 per minute.\n\nWe’re [@Kaahan Radia](https://bookface.ycombinator.com/user/569532) and [@Parth Radia](https://bookface.ycombinator.com/user/3206626) from Keyframe Labs. Our interactive video models bring your AI agents and applications to life.\n\n<https://youtu.be/cIEP8OwTD4M>\n\nYou can try a video call for yourself here: <https://keyframelabs.com>. To get a sense for the interactivity and expressive range, try asking for a sad Shakespearean monologue. Or for a “funny” dad joke.\n\n**But why video agents?**\n\n![uploaded image](/media/?type=post&id=99738&key=user_uploads/3206626/ad0420da-db57-4562-a1a4-b5db0b0de005)\n\nFace-to-face interaction triggers responses that text and voice simply can’t. Video calls close more deals, language learning with video tutors outperforms audio-only, and human presence drives outcomes in high-stakes interactions (e.g., telehealth, tax prep).\n\nNow that voice has emerged as a primary conversational interface across industries, video is the next leap. Developers and enterprises already use Keyframe to easily deploy photoreal, conversational humans to a wide variety of use cases, including:\n\n* AI roleplay, for corporate training / learning and development\n* AI recruiting, for interview practice and automated screenings\n* Telehealth\n* High-touch customer support\n* AI sales and customer success reps\n* Always-on digital twins of influencers, to scale engagement and hyper-personalize interactions\n\n**How it works**\n\n![uploaded image](/media/?type=post&id=99738&key=user_uploads/3206626/34f670bd-7436-48e9-bd72-2d0f8bd73e44)\n\nSuper simple.\n\n1. Connect your agent or LLM, or choose from our supported providers\n2. Select a persona from our stock library\n3. Drop the embed code into your application\n\nNeed a custom persona or more control? Custom personas are available on enterprise plans, and our SDKs let you roll your own implementation.\n\n**Why Keyframe**\n\nOur research goals from day one have been:\n\n* Make meaningful progress towards beating the uncanny valley\n* Run at real-time, with world-scale efficiency\n\nThe result:\n\n* Industry-leading realism and concurrency limits\n* At a fraction of the cost of competitors\n\n**Get up and running**\n\n* [Sign up free](https://platform.keyframelabs.com/) (no credit card required) and build something cool\n* Have a use case? [Book time with us directly](https://keyframe-labs.cal.com/sales/intro-call)\n* Know a company that could benefit from face-to-face AI interactions? We’d love an intro",
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        "id": 109075,
        "title": "Sidekick: AI agent that handles frontline operations over text",
        "tagline": "Sidekick gives frontline workers an AI assistant they can text, with no app, login, or training.",
        "body": "**Hey everyone 👋**\n\nI'm Justin, founder of Sidekick.\n\n**TL;DR** Sidekick is an AI assistant that frontline manufacturing workers use over text message. They text a number and it answers from the company's own documents, creates and routes work orders, and syncs with the software the company already uses. No app, no login, no training. I built Sidekick for my dad's manufacturing shop. It’s now live at facilities across the globe.\n\n**_Ask:_** Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility? I'd love an intro! Email [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo**](https://calendly.com/justin-textsidekick).\n\nCheck out our launch video:\n\n<https://www.youtube.com/watch?v=yxwq5ZAojXg>\n\n## ❌ The Problem\n\nI grew up in my dad's manufacturing plants and spent summers working on the factory floor at EDS Manufacturing.\n\nHere's what I watched happen repeatedly. A machine goes down, everyone's waiting, and the person who can help is in a meeting or on another line. Half the time the answer already existed. Nobody could get to it.\n\nWhy it keeps happening:\n\n* **No computer access.** Nobody on that floor has a company login or an email address, so none of the plant's software reaches them.\n* **The answers are scattered.** An SOP in a binder, a manual on a shared drive few have permissions to, a safety procedure someone printed and taped to a wall in 2019.\n* **The best answers were never written down.** Thirty years of tribal knowledge lives in one guy's head, and when he retires it leaves with him.\n* **So the same questions get asked over and over.** Shift after shift, and every one of them costs somebody their afternoon.\n\nThere are 239,000 manufacturing plants in the US, and only 29% of the people working in them have advanced digital skills. Any tool that requires a download, a login, and training makes adoption difficult.\n\n## ✅ Our Solution\n\nWorkers text the Sidekick phone number. Problems, photos, voice memos, in any language. No app to download, no account to create, nothing to learn. Every worker on the floor already knows how to send a text, which is why adoption isn't a fight.\n\n* **Answers from your own documents.** SOPs, manuals, safety procedures, tribal knowledge. Sidekick responds in the worker's language, in seconds.\n* **Creates and routes the work order.** The issue gets logged and sent to the right person, without anyone needing a laptop.\n* **Syncs with the software you already run.** Sidekick pulls from and writes to your existing systems instead of replacing them, and integrates directly through PLC and SCADA systems so the floor and the software finally see the same thing.\n* **Captures tribal knowledge.** Every exchange builds a searchable knowledge base the company owns, so the know-how stays when the veteran leaves.\n\nHere's a full walkthrough:\n\n<https://www.youtube.com/watch?v=a5zBRSXi-90>\n\n## 👤 The Team\n\nI'm Justin, founder and CEO. I'm the third generation in a manufacturing family, and I've been around plant floors since I was a kid. I studied Computer Science at the University of Pennsylvania, worked in finance at Arm, and left both to build Sidekick after watching the same problem play out on every floor I'd been on.\n\n## 🙏 Our Ask\n\nIf you answer \"yes\" to any of these, I'd love your help:\n\n* **Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility?** Even a name and a \"you two should talk\" goes a long way.\n* **Have you sold software into manufacturing?** I'd love to hear what actually worked and what didn't.\n\nContact me at [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo here**](https://calendly.com/justin-textsidekick)**.**",
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        "full_name": "Phillip Baek",
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        "full_name": "Liam McBride",
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        "founder_bio": "CTO at Parrot. UIUC Computer Engineer, originally from Mountain View, CA.",
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        "title": "Parrot - AI-native OS for auto repair shops",
        "tagline": "Parrot's OS understands the full context of the shop (such as estimates, parts, customers, insurers, suppliers, and payments), so our agents can physically call and coordinate with real people to run the shop on autopilot.",
        "body": "**Parrot is an end-to-end operating system for auto repair shops.** 🦜\n\n<https://youtu.be/ruo4PUCUHL4>\n\n#### 📈 The pattern\n\nAcross industries, the winners all did the same thing: replace the tool an industry uses to record work with software that runs it.\n\n* **Home services:** QuickBooks → ServiceTitan (\\~$7B)\n* **Construction:** Excel → Procore (\\~$7B)\n* **Restaurants:** Micros → Toast (\\~$15B)\n\n#### 🔧 Why auto repair got skipped\n\nBut the $200B auto repair industry is still stuck on manual phone calls, messages, and emails, because the real work is all human conversation: calling warehouses, chasing adjusters, updating customers. That couldn't have been automated until now.\n\n#### 🤖 What Parrot does\n\nParrot's OS understands the full context of the shop (estimates, parts, customers, insurers, suppliers, and payments), so our agents can physically call and coordinate with real people to run the shop on autopilot.\n\n#### 👥 Who we are\n\nPhillip got his start in biomedical research at Stanford in high school, writing software to automate tedious lab tasks. He later worked on workflow automation for legacy businesses during an internship at Amazon. Liam dropped out of his Master's in Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), where he specialized in applied machine learning and systems automation.\n\nTogether on their last startup, Phillip and Liam automated multimodal workflows for biomedical researchers, and now they're bringing that same workflow experience to the shop floor.\n\n#### 🚗 Where we are now\n\nSince pivoting three weeks ago, Phillip and Liam have been working in collision shops every day alongside owners and operators, learning how the work actually gets done, and have secured two independent auto shops signed at $30K annually.\n\n**Schedule a demo at [useparrot.com](http://useparrot.com)**",
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    "long_description": "AI-powered product compliance platform that makes it easy for retailers to launch and scale products across borders without drowning in regulatory work. Complir's AI agents handle the regulations and documentation across every market you sell in - and keep your entire catalogue audit-ready.",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104000,
        "title": "Open Application",
        "url": "https://www.ycombinator.com/companies/complir/jobs/83TkluK-open-application",
        "location": "Copenhagen, Denmark",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111394,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/complir/jobs/A20A77P-product-engineer",
        "location": "Copenhagen, Denmark",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 99317,
        "title": "Complir - Helping large retailers remove compliance as a bottleneck to launching products globally.",
        "tagline": "Vanta for physical products",
        "body": "Hi there! I’m Gustav, and together with Tine and Marc we’re building AI infrastructure that automates compliance for global retailers.\n\nIf you sell physical products across markets, compliance is brutal.\n\nEvery country has different requirements. Documentation is fragmented. Regulations change constantly. Most teams still manage it in spreadsheets, consultants, and shared drives. And every product launch becomes a fire drill.\n\nOur users are:\n\n\\- Enterprise retailers with thousands of SKUs\n\n\\- Compliance, quality, and sourcing teams\n\n\\- Companies launching across multiple EU and international markets\n\nThey don’t want to just be compliant. They want to ship products fast and never think about compliance again.\n\n**How we got here**\n\nJust one month after Tine and I met back in May 2024, we made a deal with Flying Tiger Copenhagen (a 1,000+ store global retail chain, similar to a European Five Below) and forward deployed ourselves in their offices, working directly with their compliance, packaging, and sourcing teams for over a year.\n\nWe had no idea how much manual work we were about to witness.\n\nRegulations are dynamic. Products change. Data is messy. Requirements depend on category, market, material, packaging, claims, and more. Most existing tools treat compliance like static storage.\n\nSo we built an AI-native system that:\n\n\\- Maps products to relevant regulatory requirements across markets\n\n\\- Transforms messy product data into structured, audit-ready compliance records\n\n\\- Automatically generates legally required outputs — including translations, warnings, labels, risk assessments, declarations, and technical documentation\n\n\\- Propagates updates when regulations or products change, so documentation stays compliant without manual rework\n\nToday we manage 100k+ products, work with large retailers across Europe, and are growing \\~45% MoM\n\nIf you know large retailers selling across markets, tell them they can save millions in yearly compliance costs - while launching more products in more markets, faster.\n\nAnd if you’re building or operating in retail, import/export, or compliance infrastructure, we’d love to compare notes!\n\nDemo: [**https://www.youtube.com/watch?v=4omoq7tcU88**](https://www.youtube.com/watch?v=4omoq7tcU88)",
        "url": "https://www.ycombinator.com/launches/Ppt-complir-helping-large-retailers-remove-compliance-as-a-bottleneck-to-launching-products-globally",
        "votes": 27,
        "created_at": "2026-04-03T21:07:08.390Z"
      }
    ]
  },
  {
    "id": 31444,
    "name": "Alchemize",
    "slug": "alchemize",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f82ae07ea418af65738a5555df328a4907b4da13.png",
    "website": "https://tryalchemize.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Building AI Native Customs Brokerages",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1778526600,
    "tags": [
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/alchemize",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/alchemize.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryalchemize/",
    "x_url": "https://x.com/TryAlchemize",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f82ae07ea418af65738a5555df328a4907b4da13.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 1352155,
        "full_name": "Robert Hou",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder of Alchemize (P26). Previously, Robert was the first engineer at Confido YC(S21), where he built AI accounting automation for brands like Baskin-Robbins, Olipop, and Dr. Squatch from 0 to $10 million+ ARR.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/robertyhou/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19cf8a12073c88597ff30aa88e1e3a205a1cebf5.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 31448,
    "name": "smol machines",
    "slug": "smol-machines",
    "former_names": [
      "Smol Machines"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c9db625bd34a051e8617673268bb5d9659339ed.png",
    "website": "https://smolmachines.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Smol machines solve the problem of \"but app works on my machine\" by shipping the machine.\r\n\r\nSmol machine enables devs to ship a lightweight virtual machine with any software, similar to how Electron ships an entire browser with the web app. ",
    "one_liner": "Ship software faster with portable, self contained virtual machines.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1775148410,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/smol-machines",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/smol-machines.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/smol-machines/",
    "x_url": "",
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    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c9db625bd34a051e8617673268bb5d9659339ed.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1655532,
        "full_name": "BinBin He",
        "title": "Founder/CEO",
        "founder_bio": "Building the next generation cloud service that's like a baby of lambda and ec2. Using a new primitive that combines the isolation of a VM with speed and flexibility of containers.\n\nRecently was at AWS.\n\nWorked at ECS|Fargate|FargateOnFirecracker for ~4 years.\nECS is largest container service in the world.\nFounding engineer of ECS managed instances.\n\nBefore that, spent another ~4years in Infra in startups, NASA.\nHelped decomission Terra, Aqua, Aura satellites back into earth. \n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/binsquare",
        "x_url": "https://x.com/binsquares",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23bd591f4c23ccd898e3687a53f218b8b83672c7.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 31453,
    "name": "Minicor",
    "slug": "minicor",
    "former_names": [
      "Laminar"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e14eb470879a4e71c717ad6774095600e8b0de85.png",
    "website": "https://minicor.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Minicor connects AI startups to legacy desktop apps that have no API. Reliably, quickly and at scale.\r\n\r\nDescribe a workflow and get an API endpoint. Each call triggers a self-healing desktop automation on a Windows VM. On-prem, cloud, or Citrix. Build through your coding agent via our MCP.\r\n\r\nComplete with the observability tools to manage your customer relationship: full video replay of every automation, granular logging, and slack enabled alerts.",
    "one_liner": "Scalable windows desktop automations",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1772756028,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/minicor",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/minicor.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/minicor-automations",
    "x_url": "https://x.com/minicor_",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e14eb470879a4e71c717ad6774095600e8b0de85.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1037983,
        "full_name": "Faizaan Chishtie",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Minicor (X26) - building an RPA platform for deploying AI into legacy desktop systems\n\nPreviously also built a furniture rental company and worked as early engineer at YC companies connecting systems together!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/fchishtie/",
        "x_url": "https://x.com/faizchishtie",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8237083383c5f9e3a2ff2c95697815c59d0c2774.jpg"
      },
      {
        "user_id": 1639230,
        "full_name": "Saheed Akinbile",
        "title": "Founder/CTO",
        "founder_bio": "Building Minicor (X26) - Building an agentic desktop and browser automation platform.\nDeep in infra, RPA (QuickBooks/Sage/Citrix), and browser automation.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/saheed-akinbile",
        "x_url": "https://x.com/sahee_d",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6ab7a935a1ba8fc9b8588ea0351c0b067c23f39.jpg"
      }
    ],
    "jobs": [
      {
        "id": 94138,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/minicor/jobs/mDMbXZk-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $250K",
        "equity_range": "0.15% - 0.45%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "Google Cloud",
          "Java",
          "JavaScript",
          "Kotlin",
          "Python",
          "Next.js"
        ]
      }
    ],
    "news": [
      {
        "title": "Minicor Raises $3.8M Seed",
        "url": "https://www.thesaasnews.com/news/minicor-raises-3-8m-seed/",
        "date": "Oct 15, 2026"
      },
      {
        "title": "The Top DevTech Startups in YC P26 - The Silicon Valley Post",
        "url": "https://svpost.com/articles/top-devtech-startups-yc-p26/",
        "date": "Jun 10, 2026"
      },
      {
        "title": "What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
        "date": "Jun 04, 2026"
      }
    ],
    "launches": [
      {
        "id": 99004,
        "title": "Minicor - Windows desktop automations at scale.",
        "tagline": "RPA platform for deploying AI into legacy desktop systems",
        "body": "Hey YC!! Faiz and Saheed here from Minicor ([minicor.com](http://minicor.com))\n\n**TLDR;** AI companies selling into healthcare, automotive, financial services, and logistics can't go live because their customers run on legacy desktop software with no APIs. The only way in is clicking through the UI, and it breaks constantly. Minicor is a platform for building self-healing desktop automation that scales.\n\nLaunch video:\\\n<https://www.youtube.com/watch?v=nzH4ekkaA2c>\n\n**The problem**\n\nOur customers selling into legacy industries can't go live because the systems of record their customers use (EHRs, ERPs, DMS) are Windows desktop apps with no APIs. The only way to read / write is through UI automations, but desktop RPA at scale breaks constantly. Even small error rates become hundreds of failures a day, and every one needs manual intervention.\n\nThey're signing customers but don't have capacity to integrate because they're too busy fighting fires with existing RPAs; or their prospects are blocked because they need \"proof\" they can write back to their systems, and spinning up a desktop automation POC takes too long.\n\n**In production**\n\nWe're live right now processing thousands of workflows a week across healthcare EHRs and other legacy systems. Our agents write AI-generated data into desktop apps in real-time. We went live with a customer in 3 weeks post POC.\n\n**How it works**\n\n1. Install our Desktop Client on the machines running the legacy software.\n2. Speak the automation into existence - either through your favourite coding agent via our MCP, or to us directly. You get an API endpoint to trigger it.\n3. Minicor handles everything after that. Only pay when the data gets in\n\n**Demos**\n\nGenerating an automation with our MCP:\n\n![uploaded image](/media/?type=post&id=99004&key=user_uploads/1037983/3566b35e-8721-428e-9c8c-99b2d4f337a4)\n\nAgent recovering from failure:\n\n![uploaded image](/media/?type=post&id=99004&key=user_uploads/1037983/c33c944c-0319-4aa1-a291-c526751938f6)\n\nRecorded video replays of every run, with full error logging, so nothing ever fails silently:\n\n![uploaded image](/media/?type=post&id=99004&key=user_uploads/1037983/ce87bffc-0860-43ab-a1b9-94d5b5656adf)\n\n**About us**\n\nSaheed and I both started our careers building bespoke / legacy system integrations. Me at a YC startup, Saheed at Morgan Stanley and Ford. We met in 2019 in a UX class, built a non-profit together over the pandemic, and started working on this in 2023.\n\nWe started with an observability and error recovery platform for API integrations, and got pulled into Desktop automations when a prospect closed hyper quickly on the promise that we could help them connect to an on-prem EMR.\n\n**If a legacy desktop integration is blocking a deal right now**\n\n**We can have a POC running in hours.** Whether that's a demo for a prospect or getting something into production next week. Email / DM us on Bookface / book time to chat (:\n\n**Know an AI company fighting horrible desktop based UI integrations?** We'd appreciate an intro, coffee / lunch on us!\n\n[faiz@minicor.com](mailto:faiz@minicor.com) / <https://calendly.com/faiz-laminar/minicor-demo>",
        "url": "https://www.ycombinator.com/launches/Pkq-minicor-windows-desktop-automations-at-scale",
        "votes": 27,
        "created_at": "2026-03-23T02:00:00.081Z"
      }
    ]
  },
  {
    "id": 31455,
    "name": "tday.com",
    "slug": "tdaycom",
    "former_names": [
      "markup.one",
      "tday"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0407fd665b690944a7e3117449a6850bf1f45e9f.png",
    "website": "https://tday.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "tday automatically turns a software company's product into on-brand marketing creative. Connect your product and git repo, and tday generates polished launch videos, social graphics, and ads, the content a team would normally spend hours making in a design tool or pay a freelancer for. tday then publishes the creative and measures how it performs across your social and ad channels, closing the loop from what you ship to what you post.",
    "one_liner": "AI that turns your product into on-brand marketing content",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1780302406,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/tdaycom",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tdaycom.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/designtday",
    "x_url": "https://x.com/designtday",
    "fb_url": "https://www.facebook.com/designtday",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0407fd665b690944a7e3117449a6850bf1f45e9f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 2227212,
        "full_name": "Cyrus Kelly",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of tday. 20 y/o. Began taking university courses at 13 and was admitted to University of Adelaide's most selective computer science degree at 15, while still in high school, completing it at 18. Mentored 300+ student founders as Adelaide University's Chief Student Entrepreneur. Before tday, built communities.one, a student club platform with integrated banking which the University of Adelaide invested in. Dropped out of an MBA to build tday full-time in SF.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cyruskelly",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01f34348c3a2a22a2effcc363fed0d26b70de63c.jpg"
      },
      {
        "user_id": 3751920,
        "full_name": "David McDonough",
        "title": "Founder/COO",
        "founder_bio": "Building tday, an AI pipeline that turns codebases & PRs into on-brand marketing visuals. \n\nPreviously Technical Lead at VAL.AI, where I built Australia's first portfolio-scale residential Energy Efficiency Score, lead team to deploy in market with Australia's largest bank & real estate listing platforms. \nAs Lead Engineer at MEQ Solutions, I built novel ML models that predict lamb and beef eating quality from intramuscular fluorescence-spectroscopy signatures. \n\nB. Eng. (Computer Syst.) (Hons)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-mcdonough-53147a155/",
        "x_url": "https://x.com/David_l_mcd1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d2dac34655b8cc948862e2bad80b5da5dfdee70.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 102365,
        "title": "tday.com — your code ships, we make it famous",
        "tagline": "AI that turns your product into on-brand marketing content",
        "body": "It has never been quicker to build. Most companies are putting out new features or bug fixes daily. But do your users actually know what you shipped today?\n\n\\\nBuilding has never been faster, but telling people about it hasn't kept up. Marketing what you shipped is slower than shipping it: record the demo, fumble fifteen takes, design the post, edit the video, get it on-brand, publish. An afternoon gone for twenty seconds of footage. So most teams skip it, and their best work ships to silence.\n\ntday.com closes that gap. Connect your GitHub repo or point us at your site, and every release turns into a complete launch package: a demo video that shows how the feature works, a feature showcase built to sell it, and on-brand graphics for every placement, published to social automatically.\n\nThere are two ways in, and both produce both outputs. Connect your repo and tday spins up an isolated sandbox, captures the exact change in each pull request before it even merges, and posts the assets back to the PR to review or auto-publish. Or hand us a demo account set up exactly how you want to be marketed, pick the feature, and tday signs in, drives the real flow, and records it.\n\nWhat makes it different is that everything is grounded in your real product and brand. tday already knows your colors, fonts, and voice, so output is on-brand every time, and you can tweak any line, scene, or image from the platform without re-recording the source. Ship a new version and the demo re-records itself: it captures a capability, not a one-off moment.\n\nThe creative we generate is already running at up to 8.3% CTR in early paid tests, several times the typical benchmark. Paid campaigns inside tday are next, and from there, marketing that scales at the speed you ship: hundreds of thousands of on-brand, hyper-targeted assets, generated and published automatically.",
        "url": "https://www.ycombinator.com/launches/Qd3-tday-com-your-code-ships-we-make-it-famous",
        "votes": 17,
        "created_at": "2026-06-01T14:31:20.330Z"
      }
    ]
  },
  {
    "id": 31458,
    "name": "Reason Machines",
    "slug": "reason-machines",
    "former_names": [
      "EasyClaw",
      "Ara"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac8d1fbd9622030ddfab1cc9a6fac1907350004f.png",
    "website": "https://reasonmachines.com",
    "all_locations": "San Francisco, CA, USA",
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        "id": 102348,
        "title": "Ara - The World's First Self-driving IDE",
        "tagline": "The IDE that thinks ahead of you",
        "body": "Hey everyone, we’re [Adi](https://www.linkedin.com/in/adisinghlink/) and [Sven](https://www.linkedin.com/in/svemy/) - cofounders of [Ara](https://ara.so/) 👋\\\n\\\n**tl;dr:** we built an IDE for the future\n\n<https://youtu.be/6ASb9QW2QEw>\\\n\\\n**the problem**\\\nThe bottleneck in development keeps moving. It used to be writing the code. Then agents solved that, and it became reviewing the code. Now what's left is planning the next step, and every IDE still waits.\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/cb840d79-95f8-446d-b4cd-a60e9db72a85)\n\n**the solution** \\\nAra closes the loop. It proactively plans your next step, handing you proposals you can discard or send off to follow up on, with self-improving memory across all your tools and sessions, and full visibility across chats, files, browsers, terminals, and review panes.\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/fc09658e-c84b-4e56-8b00-4485c3de72ae)\n\n\\\n**team**\\\nAdi and Sven both studied EECS at UC Berkeley. Adi worked in applied ML, at Scale AI and previously built an IDE company. Sven was an ML engineer on production systems and chaired Norway's largest student AI org. Serial hackathon winners, they've built and lived together across four cities and dropped out to build the IDE they always wanted.\n\nThe goal is an IDE that runs the development loop end to end, not one that waits for instructions.\n\n\\\n_The IDE for token-maxxers._\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/eb3b255b-1cc1-4f77-a1c5-aa2f22227b7b)\n\n**our ask**\\\nTry it! [**Download Ara**](https://ara.so/) and email us at [founders@ara.so](mailto:founders@ara.so) with your feedback.",
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        "full_name": "Ibrahim Rabbani",
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        "full_name": "Zac Policzer",
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        "title": "Zibra Labs: HPC for Quant Trading Firms Running Backtesting at Scale",
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        "body": "### Credentials\n\nWe’ve spent years working together building large scale distributed systems that run on hundreds of thousands of machines and serve billions of users. **Every time you leverage your network for a warm intro on LinkedIn, you use three databases that we’ve built: [Venice](https://venicedb.org/),[ Liquid](https://www.linkedin.com/blog/engineering/graph-systems/liquid-the-soul-of-a-new-graph-database-part-1), and[ Espresso](https://engineering.linkedin.com/teams/data/data-infrastructure/storage-infra/espresso).**\n\nAfter LinkedIn, **we were tech-leads of [Ray](https://github.com/ray-project/ray)**, the leading open-source compute platform used by companies such as xAI, Cursor, Bridgewater, P72, Man Group, Two Sigma, and others. Ray has [\\~12M](https://pypistats.org/packages/ray) weekly downloads and is part of the PyTorch Foundation.\n\n### Product\n\n<https://www.youtube.com/watch?v=C6tl8Fr8t2I>\n\nWe’re building large scale high performance computing (HPC) clusters for **quantitative trading firms** to run **parallel simulation workloads such as backtesting.** \n\nThe scale we’re targeting is\n\n* 100 to 50,000 nodes of mixed hardware (CPUs and GPUs) on hyperscalers and neoclouds.\n* up to 5,000,000 parallel tasks.\n* spot instances for cheaper compute across multiple availability zones, hyperscalers, and neoclouds.\n* &lt; 50ms overhead for task dispatch and scheduling.\n* run the compute in your cloud or on-prem environment to keep your alpha secure.\n\nOur goal is to **make testing trading strategies fast, cheap, and reliable.** \n\n### Vision\n\nWe know that existing solutions do not handle this scale, do not have first-class support for spot-instances, and will not match our low-latency and high throughput performance. \n\nOur technology generalizes to other large-scale compute workloads such as\n\n1. **post-training and reinforcement learning (RL)** for frontier and applied AI labs\n2. **massively parallel robotics simulation and sim-to-real training** for robot foundation model teams\n3. **virtual screening and molecular dynamics** for techbio and pharma R&amp;D\n4. **scientific simulation** (CFD, climate, seismic, FEA) for HPC teams looking to move beyond MPI and SLURM.\n\n### Ask\n\nReach out if you\n\n1. Are running simulation workloads that require lots of computation at a quant trading firm.\n2. If you need HPC for a different use-case.\n3. Want to grab a beer and talk about distributed systems or HPC.\n\nCheers!\n\nIbrahim and Zac",
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        "created_at": "2026-05-18T20:53:24.005Z"
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    "name": "Collar",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are a team of ex-intelligence, ex-finance, and most importantly, ex-founders who have known each other for over 5 years.\r\n\r\nCollar is redefining investor relations. \r\n\r\nRight now, investor relations is an under-appreciated yet sweeping function. \r\nThey have a bird’s eye view of what external stakeholders want, and also work with internal business units to create a grand vision of a company’s future.\r\n\r\nBut they’re doing it with their hands tied behind their back.\r\n\r\nFinance AI tools today are built for investors not investor relations, leaving teams using ad-hoc unreliable workarounds, and CFOs are stuck always reporting rather than acting on insights to optimize operational workstreams.\r\n\r\nBefore earning calls, Collar prepares CFOs through proactive earnings calls prep, investor targeting and fully citation-backed live teleprompters, saving them hours of work.\r\n\r\nAfter earning calls, CFOs use Collar’s trusted agentic AI systems to optimize identified underperforming workstreams with little manual modification needed. \r\n\r\nRedefining investor relations from a tedious cost centre headache, into a whole-of-company profit maximising function.\r\n",
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    "team_size": 4,
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    "country": "US",
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        "full_name": "Kazel Koh En Yang",
        "title": "Founder/CEO",
        "founder_bio": "CEO/Co-founder at Collar (YC F26)\n\nI co-founded a deep tech health-tech startup at 16 (triaging post-cataract surgery complications) as CEO as the only non-grad researcher under the National Graduate Research Innovation Program. Concurrently I became a patented inventor as the first and only Masayoshi Son Foundation (Softbank) scholar from Singapore, inventing a new chess-based technique to hacking.\nGIC Scholar (Singapore's Sovereign Wealth Fund), Ex-Private Credit, Ex-Military Intelligence.\n\n",
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        "full_name": "Jamie Yau",
        "title": "Founder/COO",
        "founder_bio": "COO/Co-founder at Collar (YC F26), building AI for public company investor relations. Previously Chief of Staff at one of Southeast Asia's largest billion-dollar asset manager. Before that, COO of Singapore’s largest youth-in-tech organisation leading a team of 80+, fellow at the U.S. Department of State, and the youngest contractor for the Singapore military. Ex-HS valedictorian. Started first company at 18. \n\nFrom the little red dot (Singapore), a decent golfer, and a wannabe chef. ",
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        "title": "Collar: The AI for public company Investor Relations",
        "tagline": "Find the right investors. Prepare for earnings. Answer analyst questions live with approved company information.",
        "body": "Collar is the AI for public company investor relations.\n\nIR teams must know the whole company, its investors and the market. That knowledge lives across spreadsheets, emails, transcripts, teams and data providers.\n\nCollar turns mess into momentum. \n\n**Turns company context into a live teleprompter for the CEO**\\\nCollar's teleprompter surfaces the right figure, commitment or approved line the moment a question lands. Management answers with precision on every earnings call.\n\n**Turns repeat questions into instant answers**\\\nCollar's Q&amp;A bot lives on your IR website and answers investor questions from your filings, transcripts and approved messaging. Anything sensitive goes to IR’s inbox first.\n\n**Turns memory into meetings that matter**\\\nCollar remembers every investor relationship since your IPO. It shows you a CRM of who to meet, why now, and gives you a brief before you walk in.\n\n**Turns scattered data into decisions**\\\nCollar reconciles conflicting information across departments, resolves who and what each data point refers to, checks freshness, so management can use an answer without having to manually verify it again.\n\nKazel and Jamie are second time founders with backgrounds in buy side investing and military intelligence. For two years, they have built AI that gathers intelligence from hard to reach places and turns it into action. They know how investors think because they have sat on that side of the table.\n\nSend us your ticker on [usecollarai.com](http://usecollarai.com)\\\nWe'll send you 10 portfolio managers you should target next quarter.",
        "url": "https://www.ycombinator.com/launches/UgG-collar-the-ai-for-public-company-investor-relations",
        "votes": 2,
        "created_at": "2026-10-06T18:00:00.095Z"
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    "website": "https://armature.tech",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Coding agents like Claude Code, Codex and Cursor now decide which tools get installed in a codebase. Armature runs the real agents inside a panel of realistic repositories, measures whether they pick you, and works with your team on the docs, SDK and content that make them choose you.\r\n\r\nWe call this Agent-Led Growth (~coding agents GEO for dev tools).\r\n\r\nAnd once agents use your product, Armature shows you what users do with it through AI, with self-serve MCP analytics and evals that catch regressions before your users see them.",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1778126369,
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    "year_founded": 2026,
    "city": "Paris",
    "country": "FR",
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      "name": "Andrew Miklas",
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        "user_id": 3408440,
        "full_name": "Theodore Otzenberger",
        "title": "Founder/CEO",
        "founder_bio": "Ex-Palantir, studied at Polytechnique.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/th%C3%A9odore-otzenberger-895345131/",
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        "user_id": 3284644,
        "full_name": "Louis Scremin",
        "title": "Founder",
        "founder_bio": "Previously leading AI Automation (AI Agents & MCP servers) at Joko as early employee",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/louis-scremin/",
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        "title": "Which tools do Claude, Codex and Cursor choose? We measured 17k runs to find out | Hacker News",
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    "launches": [
      {
        "id": 101594,
        "title": "Armature - Making your app finally usable by AI agents",
        "tagline": "Armature helps companies monitor, analyze, and optimize how AI agents experience their products.",
        "body": "Hey everyone, we’re [Theodore](https://www.linkedin.com/in/theodore-otzenberger-895345131/) and [Louis](https://www.linkedin.com/in/louis-scremin/) - Co-Founders of [Armature](https://armature.tech/) 👋\n\n### TL;DR\n\n**Armature helps companies monitor, analyze, and optimize how AI agents experience their products.**\n\n* We discover your product through MCP and CLI, **run the real workflows your customers’ AI agents do** and let you finally see your customers’ agents thinking **traces**.\n* We provide analytics, run **benchmarks**, and turn this into **concrete actions** to improve your MCP and CLI.\n* This is only the beginning: we are reinventing the building blocks of the ~~User~~ **Agent Experience**.\n\n**_The Ask:_** _If you are building a product that is increasingly used by AI agents or if you want to ensure agents can use your product but don’t know where to start, we’d love to hear about your challenges! You can also try our product self-serve **for free** directly at [armature.tech](http://armature.tech)._\n\n<https://www.youtube.com/watch?v=3Gtc5RzGxJ0>\n\n### ❌ The Problem: The Missing Agent Experience (AX)\n\nWe have 30 years of tooling to optimize User Experience (UX), from session replays and funnel analytics to live support chat. But as products are increasingly operated by **AI agents** rather than humans, we lack the equivalent tooling for **Agent Experience (AX)**.\n\nRight now, companies have **zero visibility** into how each agent (Claude, Codex, ChatGPT, OpenClaw, etc.) interacts with their products. And when a bad AX causes an agent to fail silently, the end-user simply churns.\n\nBut it goes deeper. As agents become the primary users, the fundamental mechanics of software products simply stop working. Because if a human isn’t looking at the screen:\n\n* _How do you upsell a premium feature to an AI?_\n* _How do you build brand loyalty with a user that doesn’t feel emotions?_\n* _How do you offer customer support when an agent fails?_\n\nWe are building Armature to solve these exact problems and so many more questions related to this shift!\n\n### 💡 Our Solution: Armature\n\nArmature helps companies monitor, analyze, and optimize how AI agents experience their products.\n\n**What we do today:**\n\n* **Automated testing:** We run complex sessions against your MCPs/CLIs across all major harnesses and models to catch broken workflows before your users do.\n* **AX analytics &amp; benchmarking:** No more black boxes. We trace agent sessions to show you exactly what the model \"thought\", what context it missed, and why it failed. We measure your AX against competitors to ensure you remain the preferred platform for agents to use.\n* **Auto-remediation:** Our MCP lets your internal coding agents plug into Armature to autonomously fix your product's AX based on our run data.\n\n![uploaded image](/media/?type=post&id=101594&key=user_uploads/3408440/5642c5dd-a3b1-46e1-865d-a0425ceba1d5)\n\n**Our vision for tomorrow:**\n\nReaching full understanding of how agents use your product and how you can improve it is only step one. \n\nThe next step is to provide the **foundational infrastructure for the Agent Experience**, powering agent-native revenue, lifecycle marketing, and customer support for the next generation of software.\n\n### 🙏 Our Ask: If you’re building apps for agents, let’s talk!\n\n1. **Audit your MCP or CLI:** If you are building for agents, you can start by running your first audit &amp; benchmark on [**armature.tech**](http://armature.tech) **for free** to see how they actually experience your app.\n2. **Let’s chat:** If you are facing challenges to make your app usable by agents or optimize the agent experience, please reach out to [**founders@armature.tech**](mailto:founders@armature.tech). We’d love to discuss and help you with this!\n\n### 👬 The Team: why we are working on this\n\nBefore founding Armature, Louis scaled **AI agents at Joko, a 6M user consumer app**. Theo was a **FDE at Palantir** and then built petabytes-scale **observability** from scratch as a Founding Engineer at Tsuga, a Datadog spin-off.\n\n**Blindly shipping a self-tested MCP to 6M of edge cases drove us crazy so we decided to build the solution.**\n\n![uploaded image](/media/?type=post&id=101594&key=user_uploads/3408440/bdb32e65-c048-467e-aa62-0e67c8f1fff7)\n\n",
        "url": "https://www.ycombinator.com/launches/QQc-armature-making-your-app-finally-usable-by-ai-agents",
        "votes": 25,
        "created_at": "2026-05-19T20:45:48.490Z"
      }
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    "id": 31466,
    "name": "Walter",
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      "Vaulter Technologies",
      "Vaulter"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32ab6a53db384b8f8c669e8396a088094060b64a.png",
    "website": "https://www.walter.one",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Walter is an AI employee for manufacturing operations.",
    "one_liner": "AI Employee for Manufacturing Operations",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1779919838,
    "tags": [],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Operations"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/walter",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/walter.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/waltertechnologies/?viewAsMember=true",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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      {
        "user_id": 3097279,
        "full_name": "Nikolas Keller",
        "title": "Founder/CEO",
        "founder_bio": "First hire at GC-backed AI Manufacturing Startup, Prev. cooking in French, Italian and German Fine Dining Kitchens. CDTM, Z Fellows.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikolas-keller/",
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      {
        "user_id": 2725726,
        "full_name": "Lukas Postulka",
        "title": "Founder/CTO",
        "founder_bio": "ex Quant Trader / TUM, Z Fellows.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/postulkalukas",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/982fb2e7f7b33b78318adfbd4e9e9bff0f5ecc21.jpg"
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    "launches": [
      {
        "id": 102405,
        "title": "Walter: AI Employee for the Manufacturing Back Office",
        "tagline": "An AI employee that runs the manufacturing back office, inside the software the factory already uses.",
        "body": "<https://youtu.be/fQHXdii_Hdo>\n\nHey everyone 👋\n\nWe're[ ](https://claude.ai/cowork/LINKEDIN)Nikolas and Lukas, co-founders of Walter. \n\n### **TL;DR**\n\nWalter is an AI employee for the manufacturing back office. Instead of building yet another integration, we gave Walter a login. He signs into SAP, Microsoft Dynamics 365, or Oracle the way a new hire would, works out of Teams and email like the rest of the team, and takes over the manual work no one wanted: entering purchase orders, ordering from suppliers, catching pricing errors before they ship. A purchase order that used to take 15 minutes now takes a few seconds.\n\n### **The Team**\n\n* Nikolas Keller grew up across four countries, started to cook in French, Italian and German fine dining kitchens at 18, then flew to San Francisco with a duffel bag and talked his way into a manufacturing AI startup backed by Neo &amp; GC.\n* Lukas Postulka paid for TU Munich by living in a monastery in exchange for cleaning. Got a job at  PwC by mailing them a portfolio they never asked for. Landed a job as quant trader by scoring first on technical trial.\n\n![uploaded image](/media/?type=post&id=102405&key=user_uploads/3097279/555d91df-f392-4137-ae2a-d5816f70df7b)\n\n### **The Problem**\n\nWe talked to more than 100 manufacturers and heard the same story every time. For thirty years, every vendor sold them the same fix and none of it worked.\n\n* Better integrations, cleaner APIs, a newer ERP: all sold as the answer, none of them the problem.\n* The real bottleneck was never the software. It was that a person had to sit there and operate it, one purchase order at a time.\n* So the back office stays buried in manual data entry, supplier emails, and pricing mistakes caught too late.\n\nThe work is repetitive, high volume, and expensive to staff. Every factory has it. No one has solved it.\n\n### **Our Solution**\n\nWe stopped trying to replace the software. We gave Walter a login instead.\n\nWalter logs into the systems a factory already runs (SAP, Dynamics, Oracle, Teams, Outlook and Gmail, etc.) the way a new employee would. Same screens, same buttons, no integration project, no rip and replace. He reads the orders, enters them, places supplier POs, and catches the pricing mismatch before it becomes a costly mistake. \n\nWhat used to take a back office team now runs on its own.\n\nWe start with packaging and industrial manufacturing, where the ERPs are oldest and the manual load is heaviest. The endpoint is bigger: once Walter runs the workflows, the software underneath becomes a database he operates in.\n\n### **Our Ask**\n\nIf any of these are you, we'd love to talk:\n\n* Manufacturers drowning in back-office data entry across SAP, Dynamics, or Oracle.\n* Operators and heads of digitization who want to see Walter run on their own ERP.\n* Anyone who knows a factory still doing this work by hand.",
        "url": "https://www.ycombinator.com/launches/Qdh-walter-ai-employee-for-the-manufacturing-back-office",
        "votes": 60,
        "created_at": "2026-06-02T16:14:38.154Z"
      }
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    "id": 31468,
    "name": "Chronicle Labs",
    "slug": "chronicle-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6facb982758514ecf99ea3032c7c55955f25ba5.png",
    "website": "https://chronicle-labs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Chronicle Labs is a staging environment for enterprise AI agents: we capture every event the agent sees in production and backtest it, so customers can safely test new behaviors without breaking anything.",
    "one_liner": "Staging Environments for Enterprise AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1778001486,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/chronicle-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/chronicle-labs.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
      {
        "user_id": 251142,
        "full_name": "Ayman Saleh",
        "title": "Founder/CTO",
        "founder_bio": "Ayman Saleh, CEO of Chronicle Labs (YC P26)\n\nI’ve spent my career building at the edge of engineering, from working at NASA JPL on programs including the James Webb Space Telescope and the Mars 2020 Perseverance rover to later leading engineering at FlightWave. When Perseverance landed on Mars, it crystallized something for me: I wanted to spend my life building, so I left my graduate program at Stanford, and eventually led me to found Chronicle Labs.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ayman-saleh",
        "x_url": "https://x.com/sir_aymansaleh",
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    "launches": [
      {
        "id": 100923,
        "title": "Chronicle Labs - Staging Environments for AI Agents",
        "tagline": "Staging environment for enterprise AI agents",
        "body": "TLDR; \n\n**Chronicle Labs is a staging environment for enterprise AI agents: we capture every event the agent sees in production and replay it, so customers can deploy new behaviors quickly without breaking anything.** \n\n<https://youtu.be/LdpAPgGYL1E>\n\nHello Bookface! My name is Ayman, and I’m the CEO of Chronicle Labs.\n\nFor the past 10 years, I’ve been building autonomous systems. I’ve had the chance to work on the Mars Rovers and the James Webb Space Telescope at NASA JPL, and throughout my career, I’ve been able to build autonomous systems from day one without ever having to physically touch the robots,  thanks to the power of logs that replay state like a time machine.\n\nThink tools like [Rerun.io](http://Rerun.io) or ROS bags. These tools are incredibly powerful because they capture the full state of a robotic system at a slice in time, which can then be replayed down to the microsecond to understand what actually happened.\n\nAI agents are the autonomous systems of businesses.\n\nBut if you want to develop an AI agent for your business, it’s rare to have a structured slice of logs that you can replay to prove your agent will actually work. Teams can vibe-deploy, but testing on your users is a bad idea, especially for enterprises that are risk-averse.\n\nToday, most teams try to solve this by hand-building evals. That works for a bit, but it doesn’t scale, and honestly I’ve seen many teams skip evals entirely. More importantly, as your business grows, your operations keep changing. Small nuances, edge cases, and workflow drift will always start to trend away from a static eval set.\n\nMy co-founder [@Rowan Zyadeh](https://bookface.ycombinator.com/user/1599381) and I built Chronicle to give teams the ability to backtest their agents against their actual operational reality. Chronicle takes your existing operational history and turns it into seeded sandboxes with scenarios based on how your business really works.\n\nBook a demo: <https://chronicle-labs.com/book-call>\n\nIf you’re building agents and you’re sick of vibe-deploying, or you feel like your eval suite is lacking, we want to talk to you.",
        "url": "https://www.ycombinator.com/launches/QFn-chronicle-labs-staging-environments-for-ai-agents",
        "votes": 11,
        "created_at": "2026-05-07T01:55:28.647Z"
      }
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    "id": 31470,
    "name": "Tasklet",
    "slug": "tasklet-2",
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    "website": "https://tasklet.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI chatbots can answer questions, but they can't do your work — they aren't connected to your tools, can't take actions, and stop running when you close the tab. Meanwhile, knowledge workers are still spending most of their day switching between dozens of SaaS apps, manually stitching together workflows that should be automated.\r\n\r\nTasklet is the AI agent that actually does the work. It connects to every tool you use — via thousands of built-in integrations, any HTTP API, or MCP servers — and takes real actions on your behalf: pulling reports, updating CRMs, triaging emails, processing data, and more. When it needs a UI, it generates one on the fly. When it needs to crunch numbers or do bulk operations, it writes and runs code in a cloud sandbox. When it needs to interact with a website that doesn't have an API, it uses a real browser. And because it runs in the cloud 24/7, you can set up triggers to have it take ongoing responsibility for workflows — not just do something once, but handle it going forward.\r\n\r\nThe product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native agent runtime, best-in-class context engineering, a universal connections layer, and multi-model support that keeps us on the frontier as AI improves. \r\n\r\nWe think legacy SaaS is being unbundled by agents, and Tasklet is the operating system that ties it all together.",
    "one_liner": "Agents that own the work",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1775251797,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We met at Firebase and continued working together at Google after the acquisition. In 2020 we left to start a company together, initially building an email client called Shortwave. While adding an AI agent to Shortwave in late 2024, we noticed something surprising: some users kept asking for the agent and integrations without the email client. They wanted a general-purpose AI agent that could connect to all their work tools — not just email. So in 2025 we made a bold bet, building Tasklet as a standalone cloud AI agent for knowledge work."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We founded the company in 2020 as a team of ex-Firebase/Google engineers. We initially built Shortwave, an AI-powered email client. After ChatGPT launched, we went all-in on AI and built a conversational assistant for email that showed real traction.\\\r\n\\\r\nIn fall 2024 we shipped a full AI agent inside Shortwave — and growth accelerated. We started adding integrations with CRMs, project management tools, and messaging apps, and were among the first products to support MCP. That's when something unexpected happened: users started telling us they wanted the agent and integrations but didn't care about the email client.\r\n\r\nSo in 2025 we made a bold move — we built Tasklet, a standalone cloud AI agent for knowledge work. We went from idea to first user in under 6 weeks, and it was a massive hit. Each new capability we shipped (v2 agent architecture, sandbox, computer use, triggers) accelerated growth further, and by January 2026 Tasklet alone was adding more monthly revenue than Shortwave had in its first 4 years."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "AI chatbots can answer questions, but they can't actually do your work. They aren't connected to your tools, they can't take actions, and they stop running the moment you close the tab. The result is that knowledge workers still spend most of their day switching between dozens of SaaS apps — pulling data from one, updating another, copy-pasting between tabs, and stitching together workflows manually.\\\r\n\\\r\nWe're building the AI agent that replaces all of that: one app that connects to every tool you use, runs 24/7 in the cloud, can use a computer, and can take ongoing responsibility for entire workflows."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "In the long run, we believe most knowledge work will be done by AI agents, not humans. Tasklet is the operating system for that future — the place where you manage, direct, and collaborate with agents that handle your work across every tool.\r\n\r\nIf we truly succeed, the average knowledge worker will 10x their output not by working harder, but by delegating most of their routine work to agents that run 24/7. Legacy SaaS apps will fade into background infrastructure that agents access via API, and the human's job shifts from doing the work to directing it. We think this is as big a shift as the move from desktop software to cloud — and we're building the platform that makes it happen."
      }
    ],
    "url": "https://www.ycombinator.com/companies/tasklet-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tasklet-2.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/taskletai/",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 9178,
        "full_name": "Andrew Lee",
        "title": "Founder/CEO",
        "founder_bio": "Current: founder at Tasklet\nFormerly: founder at Firebase & Shortwave\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/startupandrew/",
        "x_url": "https://twitter.com/startupandrew",
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      },
      {
        "user_id": 3465650,
        "full_name": "Jonny Dimond",
        "title": "Founder",
        "founder_bio": "Putting agents to work @ Tasklet",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonnydimond/",
        "x_url": "https://x.com/jonnydimond",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f27ef0f6587f0bd991ebb2f466a430a8eedb6cf4.jpg"
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    ],
    "jobs": [
      {
        "id": 92948,
        "title": "Head of Design Engineering",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/Qz919CA-head-of-design-engineering",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$300K - $450K",
        "equity_range": "0.35% - 0.70%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 92949,
        "title": "Software Engineer — AI Infra",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/OXrYogv-software-engineer-ai-infra",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$225K - $425K",
        "equity_range": "0.20% - 0.65%",
        "experience": "11+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 92950,
        "title": "Software Engineer — Platform",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/HUSklWt-software-engineer-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$225K - $425K",
        "equity_range": "0.20% - 0.65%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 94464,
        "title": "Customer Success Engineer",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/UcpBWuw-customer-success-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140K - $185K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 94748,
        "title": "Software Engineer — Product",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/8WgDV4q-software-engineer-product",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$225K - $425K",
        "equity_range": "0.20% - 0.65%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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      {
        "id": 99481,
        "title": "Tasklet – The cloud agent OS for knowledge work",
        "tagline": "AI agents that connect to all your tools, use computers in the cloud, and run automatically 24/7 to get real work done",
        "body": "Hey YC! 👋\n\nWe're Andrew and Jonny, and we're building **Tasklet** — the cloud agent operating system for knowledge work.\n\nTasklet’s AI agents connect to every tool you use at work and actually get things done — pulling reports, updating CRMs, processing data, triaging emails, and more. They run 24/7 in the cloud and take ongoing responsibility for your workflows. We've grown &gt;**1,200% since January 1** to **$5M ARR** and just raised **$20M** from USV, Lightspeed, Jeff Dean, the Collison brothers, and others.\n\n<https://youtu.be/sriwtDYi6XQ>\n\n### ❌ The Problem\n\nAGI is here, but knowledge workers still spend their days switching between dozens of SaaS apps, manually copying data between tools, and stitching together workflows that should be automated.\n\nAI chatbots can answer questions, but they can't actually _do_ your work — they aren't connected to your tools, can't take real actions, and stop running when you close the tab.\n\n### 🛠 What We Built\n\nTasklet is a single, powerful AI agent that:\n\n* **Connects to everything** — thousands of built-in integrations, any HTTP API, any MCP server, or a full cloud browser for sites without APIs\n* **Takes real actions** — not just answering questions, but doing the work across all your tools\n* **Runs 24/7 in the cloud** — set up triggers (schedules, emails, Slack messages, webhooks) and Tasklet handles workflows autonomously, even when you're asleep\n* **Generates UIs on the fly** — need a dashboard, form, or visualization? It creates one instantly\n* **Writes and runs code** — crunches numbers, processes data, and handles bulk operations in a cloud sandbox\n* **Gets smarter over time** — we automatically improve your agents as new models & technologies come out.\n\nThe product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native runtime, best-in-class context engineering, and a universal connections layer.\n\n### 📈 Traction\n\n* **&gt;1,200% growth** since January 1\n* **$5M ARR** and accelerating\n* Just raised **$20M** at a **$175M valuation** from **USV, Lightspeed, Jeff Dean, Patrick & John Collison, and others**\n\n### 👥 The Team\n\nAndrew previously founded **Firebase** (YC S11 — acquired by Google) and is back at YC to seize the moment. Jonny was an early Firebaser and the technical lead for Google Cloud Firestore. We lead a 9-person team in San Francisco with deep experience in agent systems, cloud infrastructure, and productivity tools from their time at Firebase, Google, Amazon, and OpenAI.\n\n### 🚀 Try Tasklet & Help us find talent\n\n👉 **Sign up at [tasklet.ai](http://tasklet.ai) and put your new AI agent to work.**\n\n👉 **We're hiring!** 11 open roles across engineering, design, marketing, and more. We’re offering a $20k referral bonus. [Check out our careers page.](https://tasklet.notion.site/Open-Positions-at-Tasklet-2a3688565308819fa2f7e9440b5729fa)\n\nWe'd love to hear what you think — drop a comment and tell us what’s working well & what isn’t.",
        "url": "https://www.ycombinator.com/launches/PsX-tasklet-the-cloud-agent-os-for-knowledge-work",
        "votes": 39,
        "created_at": "2026-04-07T16:48:20.499Z"
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    "id": 31472,
    "name": "Wato",
    "slug": "wato",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a0fda3e03dbdf2968a5299c0170999587d03c6a.png",
    "website": "https://www.watolabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Wato gives AI agents shared memory, reusable workflows, connected tools, and living artifacts so work compounds across a team instead of disappearing into chat threads. Teams use Wato to give every agent access to trusted company context and turn useful runs into knowledge the next agent can build on.",
    "one_liner": "The control point for AI agents at work.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1779059409,
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    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/wato",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/watoinc",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a0fda3e03dbdf2968a5299c0170999587d03c6a.png",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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      {
        "user_id": 1516656,
        "full_name": "Arihan Varanasi",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Wato (YC P26). Prev CS at Stanford.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arihanvaranasi/",
        "x_url": "https://x.com/arihanxv",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b2cb8a5294bdedc925c9bb3dc567b9a71fc55c3.jpg"
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      {
        "user_id": 3203486,
        "full_name": "Rahul Rejeev",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Wato (YC P26). Studied CS at Stanford. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rahulrejeev/",
        "x_url": "https://x.com/rahulrejeev",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3fe64fa084b9d626c9617988e508d047e43695b.jpg"
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    "launches": [
      {
        "id": 102479,
        "title": "Wato: a shared AI workspace for teams",
        "tagline": "Permissioned tools, cloud agents, automations, and shared workflows for the AI apps your team already uses.",
        "body": "Website: <https://www.watolabs.com>\n\n**TL;DR: Wato is a shared AI workspace for teams.** It helps companies keep their AI workflows, company knowledge, integrations, agent sessions, and agent-generated work inside the organization instead of scattered across individual chats, local files, or personal AI accounts. All of this is done via one, unified MCP.\n\n**Ask:** If your team is using AI agents for engineering, ops, sales, research, finance, support, or internal workflows, we’d love to see how we can help. We’re especially interested in teams setting up MCP/tools, sharing prompts or workflows internally, launching cloud agents, or trying to preserve useful agent context across the company.\n\n**The problem:** Teams are already using AI for real company workflows: debugging production issues, preparing sales calls, analyzing customer data, updating models, drafting client deliverables, and searching across internal systems.\n\nBut the work usually disappears into individual tools and accounts. The context, prompts, decisions, files, and tool setups that made the output useful are hard for the next teammate to find, trust, or reuse.\n\n**What Wato does:** Wato gives each team a shared, permissioned AI workspace.\n\nTeams can connect approved integrations and MCP tools, build shared memory, publish reusable skills, run collaborative cloud agent sessions, host live artifacts and dashboards, and trace tool calls across the organization.\n\nThe goal is simple: **when one person or agent learns something useful, builds a workflow, or creates an artifact, that knowledge should stay with the company and become available to the right people.**\n\n**What’s included:**\n\n\\- **Team memory** for durable company knowledge agents can reuse\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/64ae52b1-6599-49c7-9e99-297e4e71a9ae)\n\n\\- **Approved MCP tools and integrations** with org, team, per-user, and tool-level permissions\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/e8673b85-1e38-456a-ad60-d5d90ed2fe80)\n\n\\- **Reusable skills and workflows** library so teams don’t prompt from scratch every time\n\n\\- **Cloud agent sessions** that teammates can view, continue, and collaborate on, with access to a desktop, computer use, filesystem, and environment set up.\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/b3da2993-c84f-4347-ad8a-46fea54ee809)\n\n\\- **Automations** that can be created from connector triggers or run on a specific cadence.\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/edc32ad1-ae2e-42ef-9014-0782e8112464)\n\n\\- **Live artifacts and dashboards** that can use approved company data\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/700f9d35-6150-4012-b58c-e56b54b39c30)\n\n\\- **Tool-call tracing and audit logs** so teams can see what agents accessed and produced\n\nWato also works with the AI tools teams already use, including Codex, Claude Desktop, Cursor, Claude Code, and other MCP-compatible environments. You add the Wato MCP once, authenticate with your company account, and your agent gets access to the right team memory, skills, and approved tools.\n\n**Backstory:** We started working on Wato after seeing the same problem across institutions adopting these tools like Claude or Codex. A super user would figure out a great workflow, debugging process, research method, client-prep flow, or tool setup, but the useful part would end up stuck in a chat thread, local file, or personal account. Then the next person would start over.\n\nAt the same time, companies didn’t want every employee independently managing MCP configs, tool permissions, prompts, and scattered agent instructions. They needed a shared layer between the company and the AI tools its people use to normalize AI use.\n\nThat became Wato.\n\n**We’d love to talk to teams who are:**\n\n\\- **using agents** across engineering, ops, sales, research, finance, support, or internal workflows\n\n\\- setting up **MCP servers or internal tools** for agent use\n\n\\- trying to **share prompts, skills, playbooks, or workflows** across a team\n\n\\- creating AI-generated **dashboards**, docs, reports, or **artifacts** that need to be shared securely\n\n\\- worried about **company knowledge** disappearing into personal AI accounts\n\n\\- thinking about **permissions**, **review**, **tracing**, or **governance** for agent work\n\nIf this sounds familiar, and I’m guessing it does for a lot of you, we’d love to show you Wato and get feedback.\n\nWebsite: <https://www.watolabs.com>  \n\nTwitter/X: <https://www.x.com/watolabs>",
        "url": "https://www.ycombinator.com/launches/Qet-wato-a-shared-ai-workspace-for-teams",
        "votes": 9,
        "created_at": "2026-06-03T16:52:49.877Z"
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    "id": 31473,
    "name": "Kuli",
    "slug": "kuli",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0faca2d7e56f4ac9ab8fe42a2e560d516e70bab.png",
    "website": "https://kuli.one",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Kuli is an AI coworker for marketing teams at the world's largest consumer brands. Our agent watches all videos across social media, learns the brand's context and helps them turn signals from billions of social videos into winning campaigns without increasing headcount.\r\n\r\nPrevious platforms gave marketers databases to search through and a CRM. Kuli actually watches the content. Marketers at team like Disney, Nivea and PostHog use it to scout creators, run analysis on trends and competitor strategies, and analyse what makes their campaign perform better.\r\n\r\nFor 10 years, influencer marketing meant more tools, more tabs, more spreadsheets. Kuli replaces all of that with one single agent you orchestrate. One marketer with Kuli does what a $50K/month agency bills for manual tasks.",
    "one_liner": "AI coworker for marketing teams at the largest consumer brands",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1775508388,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Marketing"
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    "regions": [
      "France",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/kuli",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kuli.json",
    "year_founded": null,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/kuliai/",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1865906,
        "full_name": "Michael Hodara",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO @Kuli, Creator Marketing OS\n\nBefore Kuli, I led AI and data science across Aircall's go-to-market org, building the AI systems that dynamically allocated +20M$ in annual marketing spend on Paid Ads\n\nML Engineer from EPFL where I led a 40ppl consulting org to best Junior Entreprise in Europe, growing revenue 50% to €350K across 100+ clients.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/michaelhodara",
        "x_url": "https://x.com/maradoh22",
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      {
        "user_id": 1985040,
        "full_name": "Jonathan Hassan",
        "title": "Founder/CRO",
        "founder_bio": "Cofounder and COO @Kuli, Creator Marketing OS.\n \nSix years at KPMG, where I became the firm's youngest-ever M&A manager and led multi-billion-dollar deals for clients like Nestlé. From the inside, I saw how badly the world's biggest brands struggle with social and creator marketing.\n\nI run sales and operations at Kuli, where we've signed clients like Disney and Nivea in our first few months.",
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        "linkedin_url": "https://www.linkedin.com/in/jonathan-salvador-hassan/",
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      {
        "id": 100373,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/kuli/jobs/3xm0u76-founding-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€60K - €90K EUR",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "PostgreSQL",
          "Python",
          "Evals",
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          "Multimodal AI",
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    "launches": [
      {
        "id": 100704,
        "title": "Kuli: The AI coworker for marketing teams at Consumer Brands",
        "tagline": "An AI agent that watches all videos on socials to help you plan and run campaigns faster.",
        "body": "**TL;DR:** Kuli is the AI coworker for influencer marketing teams at consumer brands. It watches every video, knows your brand, plans and runs your campaigns. 5 months in, the largest Fortune 100 entertainment brand now ships 3x more campaigns on Kuli.\n\n<https://www.youtube.com/watch?v=0wdu4XS7BHk>\n\n# **❌** The problem\n\nBrand partnerships with creators are doubling in 2026. Teams are being asked to do more without additional headcount. More creators to find. More videos to watch. More emails and more reporting. Each of these steps is still manual.\n\nA marketer's week looks like this :\n\n* 8 hours scrolling TikTok to shortlist creators\n* Wednesday morning catch-up on trends and competitor monitoring\n* 100s of emails with creators\n* Friday spent preparing the reporting of last campaign\n\nThat's one campaign. Most teams run several of them per month. They pay six figures a year for influencer tools that don't analyze video and leave teams to do the manual work themselves.\n\nSo they end up paying an agency to do the same manual work.\n\n# ✅ What we built\n\n**Kuli is the AI coworker for influencer marketing teams at consumer brands. It watches every video on socials, knows the brand, runs campaigns end to end.**\n\nA marketer types :  “Find US microcreators (women, 30s) sharing parenthood struggles, with content around simplifying routines, aligned with an all-in-one skincare cream. Vet for brand fit, analyze past collab performance, and draft personalized outreach.”\n\nWhile the marketer is in a meeting, Kuli is scrolling through millions of videos to surface the right creators. Reads every comment. Decodes the patterns behind top-performing content. Starts negotiating rates and pings the marketer when it needs input.\n\n# 🧲 Early Traction\n\n5 months in, and the largest Fortune 100 entertainment brand, the leading mobile gaming studio and some of the biggest cosmetics brands cut their agency fee and ship 3x more campaigns without adding headcount.\n\n**Marketers orchestrate. Kuli operates.**\n\n# 🧩 Team\n\nTen years ago we started building side hustles together. We then saw this problem from different angles :\n\n**Michael Hodara** — built AI systems to run a $25M marketing budget at Aircall and Logitech based on voice and visual analysis. \n\n**Jonathan Hassan** — advised consumer brands at KPMG on billion-dollar deals. He saw them lose hundreds of millions because of the wrong creator choices.\n\n![uploaded image](/media/?type=post&id=100704&key=user_uploads/1865906/af16cbec-acb9-4ea5-a8cc-b8b2452b5e01)\n\n# **📣 Our Ask**\n\nIf you **run social or influencer marketing at a brand**, we’re here to give you and your team your time back and help you outpace competition.\n\nBook a demo on [kuli.one](http://kuli.one) or write to us on [founders@kuli.one](https://mailto:founders@kuli.one) if you want to see what the most effective consumer brands are already doing.\n\nWe’re also **hiring a growth genius**. Your unfair advantage: Kuli.\\\nYou’ll see more content, spot patterns earlier, and move faster than anyone else. \\\n Send us a video at [founders@kuli.one](https://mailto:founders@kuli.one).\n\n![uploaded image](/media/?type=post&id=100704&key=user_uploads/1865906/0103f7b2-1aae-4ef1-a1e3-af7ab73dd26c)\n\n",
        "url": "https://www.ycombinator.com/launches/QCG-kuli-the-ai-coworker-for-marketing-teams-at-consumer-brands",
        "votes": 27,
        "created_at": "2026-05-04T04:30:10.147Z"
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    "id": 31475,
    "name": "Ardent",
    "slug": "ardent",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4ef54cc2ae204ad4ac662f9bfacf6a3fa6faf47.png",
    "website": "https://tryardent.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Clone any postgres DB regardless of size in 6s so agents can test their work",
    "one_liner": "Database sandboxes for Agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1775685642,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ardent",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ardent.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ardent-db",
    "x_url": "https://x.com/ArdentAI",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4ef54cc2ae204ad4ac662f9bfacf6a3fa6faf47.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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        "full_name": "Vikram Chennai",
        "title": "Founder/CEO",
        "founder_bio": "Database sandboxes for Agents. Clone any Postgres DB regardless of size in 6s so agents can test their work\n\nFormerly ML Engineer, Cornell CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vikram-chennai/",
        "x_url": "https://x.com/vchennai2",
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    "jobs": [
      {
        "id": 102418,
        "title": "Founding Engineer - Product (Staff)",
        "url": "https://www.ycombinator.com/companies/ardent/jobs/4fjIRN4-founding-engineer-product-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Go",
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    "news": [],
    "launches": [
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        "id": 100815,
        "title": "Ardent - Clone any postgres DB of any size in <6s",
        "tagline": "Ardent lets engineers give their coding agents 1:1 clones of prod to test code and prevent downtime",
        "body": "Hi! I’m Vikram founder of [@Ardent](https://bookface.ycombinator.com/company/31475). **We let you clone any postgres DB in &lt;6s** so your coding agents and devs can test code on a 1:1 of production or dev DBs with zero risk\n\n![uploaded image](/media/?type=post&id=100815&key=user_uploads/1239054/b0ebde7f-0ac7-49a9-8f42-e4fb3f26d585)\n\nWe’re working with companies with huge amounts of data like Supermemory and YC companies like [@Surface Labs](https://bookface.ycombinator.com/company/28921)\n\n**This is me cloning a 1.6TB db is 6s:**\n\n<https://youtu.be/8Q4IX7HUJmo>\n\nWebsite: <https://tryardent.com/>\n\n**How did we get here (the problem)?**\n\nArdent was a reaction to the failure of our last product - an AI Data Engineer. It was a coding agent that generated data pipelines, wrote migrations, backfills and other things you’d expect of a data engineer.\n\nWhile the code _looked_ great we had no way of testing generated code. Writing to prod was out of the question and dev environments were never in sync, shared amongst devs which caused write clashes between agents, and was a huge pain to manage. **_What we needed was a ephemeral DB sandbox per agent of the user’s DB._**\n\nBecause of how hard testing was, generated code would never be tested and was too unstable to put in production. Database failures almost always mean downtime, a risk both we and customers were obviously not willing to take. We churned almost 200K in ARR\n\nThis problem exists with any coding agent today. We’re shipping 100x more DB code to production and we mostly just hope to god it works the same as dev.\n\n**Ardent - Isolated &lt;6s database clones that let you test agent code:**\n\nArdent solves the DB sandbox problem by letting you create 6s clones of ANY postgres DB regardless of size, allowing you to give every developer and every agent a full copy of production or dev to test against.\n\nClones autoscale to zero when not in use, use copy on write for massive storage efficiency and can be loaded with a single CLI command (zero infra management)\n\nYou can see the exact results of any code run against the DB in a perfect 1:1 reproduction and don’t have to change your DB provider.\n\nThe entire thing runs as a CLI that feels exactly like git. Cloning is as simple as “ardent branch create &lt;name&gt;”\n\nThis means you can spin up instant environments to test _every_ line of DB code with none of the overhead\n\n**Asks**\n\n**Use Ardent at your company to go faster by let agents work safely at the DB layer and prevent regressions:** <https://cal.com/vikram-chennai/yc-reserved>\n\n**Introduce me to series A-C engineering leaders (Founders, CTOs, VP of Eng):** Many of the later stage startups we’ve talked to have the majority of their engineers shipping with claude, codex or cursor on migrations, backfills and pretty much any code that hits the DB. They will eventually crash their production DB unless they’re rigorously testing. I’d like to prevent those crashes :)\n\nContact me: [vikram@tryardent.com](mailto:vikram@tryardent.com)",
        "url": "https://www.ycombinator.com/launches/QE3-ardent-clone-any-postgres-db-of-any-size-in-6s",
        "votes": 16,
        "created_at": "2026-05-05T20:21:15.273Z"
      }
    ]
  },
  {
    "id": 31478,
    "name": "Silmaril",
    "slug": "silmaril",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/86b9dc2025d8d9aaca7a7d152afe3f067bb14268.png",
    "website": "https://silmaril.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Silmaril is the first security for agents that self-improves. It understands application context to block 2x as many threats as current SOTA defenses with 10x lower latency. Customers plug us into agentic frameworks like LangGraph with 5 lines of code. Silmaril has stopped $28M of damages for customers.",
    "one_liner": "Security for agents that self-improves",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1775745444,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/silmaril",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/silmaril.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/silmarilsecurity",
    "x_url": "https://x.com/Silmarildev",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/86b9dc2025d8d9aaca7a7d152afe3f067bb14268.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 2524062,
        "full_name": "Aum Upadhyay",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Silmaril. I built the security and privacy framework at AWS that prevented over $1.8B in damages. Now I bring that same defensive mindset to Silmaril, working with customers to ship prompt injection defense. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aum-upadhyay-517016269/",
        "x_url": "https://x.com/aumup001",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5dcb642b56fa4abb08530e4e06f1b67529fb7300.jpg"
      },
      {
        "user_id": 543366,
        "full_name": "Eduardo Velasco",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Silmaril. I prove the risks are real by finding exploits myself. I chained a prompt injection into root access inside ChatGPT. Ex-Amazon tech lead specializing in low latency ML models that generated $400M in annual revenue.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eduardo-velasco-b10ba826b/",
        "x_url": "https://x.com/EduardoVel36291",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/15bf26fd6a23e8d13b2f5e9ebdec669919456c27.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 99681,
        "title": "Silmaril: Self-healing Prompt Injection Defense",
        "tagline": "Block 2x more attacks with 10x lower latency.",
        "body": "**TL;DR**\n\nSilmaril is the first self-healing prompt injection defense for AI native applications and agents. It understands application context to **block 2x as many threats** as current SOTA defenses with **10x lower latency**. Customers plug us into frameworks like LangChain with **5 lines of code**.\n\nWe’re working with the top productivity, analytics, and legal companies in the world and would love to protect you as well!\n\nOur Launch Video: <https://youtu.be/95VAZSvIsLA>\n\n**Ask**: If your AI systems ingest external data or you’re concerned about prompt injection, set up a[ 15 minute chat](https://cal.com/silmaril/15min). If you know security or AI leaders (Director+) who could benefit from stopping prompt injections please reach out at [aum@silmaril.dev](mailto:aum@silmaril.dev).\n\n**Problem**\n\nAttackers are using AI to create and experiment with more sophisticated techniques at scale, making them **4.5x more likely to succeed**. The AI security tools enterprises rely on today were not built for this.\n\nExisting guardrails treat malicious inputs as the unit of security. They pattern-match against known bad prompts and require constant manual policy tuning. Against real-world contextual and emerging threats, leading guardrails **blocked only 61% of attacks**. That's barely better a coin toss.\n\nThis leaves security teams stuck in an **endless loop**: triaging alerts, tuning policies, and chasing attackers who move faster than they can respond.\n\n**How it works**\n\nMost AI security tools ask \"does this input look malicious?\" We ask \"does this execution lead to a harmful outcome?\" That distinction is what makes Silmaril work against attacks that guardrails completely miss.\n\nThe system has three layers:\n\n**1. Agents hunt for attacks and generate threat intelligence.** We reverse-engineer your application and deploy autonomous agents that continuously probe it. These agents find and verify attack chains that combine individual vulnerabilities for a larger impact such as data exfiltration and privilege escalation. They surface novel threats tied to your application logic, far more useful in simulating AI enabled attackers than historical prompt injection lists.\n\n![uploaded image](/media/?type=post&id=99681&key=user_uploads/2524062/1eabf307-2ebb-4b76-883c-ba1f8e0c2fd2)\n\n**2. A classifier model that blocks attackers in real time.** The firewall integrates directly with your orchestration framework via our SDK, letting you control exactly when it runs. In LangGraph, for example, you can add it as a callback handler that fires before/after tool calls and model inference. Because Silmaril reasons over application snapshots rather than input patterns, it catches emerging, contextual, and multi-turn attacks that single-input classifiers miss entirely. Latency overhead is 20ms.\n\n![uploaded image](/media/?type=post&id=99681&key=user_uploads/2524062/b631db01-cdd7-4727-a01c-3471c385244f)\n\n**3. A self-healing retraining loop.** Verified exploits from threat hunting and production traffic feeds back into the model continuously. The firewall retrains and deploys updated weights automatically within an hour. No manual policy tuning required.\n\n![uploaded image](/media/?type=post&id=99681&key=user_uploads/2524062/60e34848-7ebc-4733-b231-4da711b0bfd9)\n\nAgainst a dataset of real-world contextual and emerging threats, **Silmaril blocked 96% of attacks**. Leading guardrails blocked 61%.\n\n![uploaded image](/media/?type=post&id=99681&key=user_uploads/2524062/b538fcdf-509e-4345-9eb4-399728ea5abe)\n\n**Why us**\n\nEduardo and I spent 10+ years building security and AI. I built security frameworks protecting AWS’s AI infrastructure. Eduardo developed hardened models and agents for Amazon's homepage. We drove **$2.2B in savings and new revenue**.\n\nAfter leaving, we became whitehat hackers and hacked OpenAI, Anthropic, Google, and Microsoft **15 times in two weeks**. We saw firsthand how far ahead attackers already are. That's why we built Silmaril.",
        "url": "https://www.ycombinator.com/launches/Pvl-silmaril-self-healing-prompt-injection-defense",
        "votes": 21,
        "created_at": "2026-04-13T18:16:18.490Z"
      }
    ]
  },
  {
    "id": 31481,
    "name": "Saudara AI",
    "slug": "saudara-ai",
    "former_names": [
      "Saudara AI Inc.",
      "Saudara AI",
      "Saudara"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c4216679eb008bbc4571315894d674d507a751f.png",
    "website": "https://saudara.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Saudara AI is an AI sourcing broker connecting American brands with vetted overseas factories.\r\n\r\nUS brands import $3T in goods a year and lose billions to ghost suppliers, hidden fees, and blown deadlines. The factories that actually deliver sit behind decades-old relationships outsiders can't break into. We were born into them.\r\n\r\nEvery deal runs through a real human broker, supercharged by AI that handles sourcing, quoting, QC, logistics and vendor financing. 10x faster, at a fraction of the cost.\r\n\r\nSourcing is the largest broken market in global trade. We're the on-ramp.",
    "one_liner": "AI Native Sourcing Broker For Overseas Manufacturing",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1774887463,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/saudara-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/saudara-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/109590962",
    "x_url": "https://x.com/saudaraAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c4216679eb008bbc4571315894d674d507a751f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2623220,
        "full_name": "Edward Haryono",
        "title": "Founder/CEO",
        "founder_bio": "I'm CEO of Saudara AI, an AI sourcing broker connecting US brands with international manufacturers. In 5 months, we've sourced $1M+ for 40+ brands. Sourcing is won by whoever has trust on both sides of the trade lane, and almost nobody does. I grew up in Indonesia in a family with 50 years in retail and logistics, giving Saudara supplier access competitors can't replicate. I spent 5 years at Amazon in procurement, working with buyers who are Saudara's customers today. Master's from Duke.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edward-haryono-tanuwijaya/",
        "x_url": "https://x.com/edwardharyono_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4837757cde4b291959b24d1992386363b5d7840.jpg"
      },
      {
        "user_id": 2970229,
        "full_name": "Jennifer Prasetyo",
        "title": "Founder/CTO",
        "founder_bio": "I'm CTO of Saudara AI, an AI sourcing broker connecting US brands with international manufacturers. In 5 months, we've sourced $1M+ products for 40+ brands. A former engineer at Microsoft Quantum and Meta Reality Labs, I'm the rare technical founder born into the problem. My family has 50+ years in Indonesian textile manufacturing, giving Saudara supplier access competitors cannot replicate, and my channel @jenandtech (100K+ followers) drives compounding inbound.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jenniferprasetyo",
        "x_url": "https://x.com/jenandtech_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b381d3823d82ad1c8577a09388f08b90d2ee087d.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "The Rise Of Hybrid AI Platforms In Global Fashion Sourcing",
        "url": "https://www.forbes.com/sites/tanyaakim/2026/06/09/the-rise-of-hybrid-ai-platforms-in-global-fashion-sourcing/",
        "date": "Jun 09, 2026"
      }
    ],
    "launches": [
      {
        "id": 100462,
        "title": "Saudara AI — Connecting Brands With Trusted Factories",
        "tagline": "AI broker connecting American brands with the world's best factories.",
        "body": "# **Hey 👋** We're Edward and Jennifer, founders of **Saudara AI**.\n\n**TL;DR:** We're an AI broker connecting American brands with the world’s best international factories. Saudara is built by a third-generation manufacturer and an Amazon supply chain veteran, two people who've spent their careers on both sides of this problem. \n\nWe don’t just sell software, we sell outcomes and services. Real humans do the work, supercharged by AI, at 10x the speed and a fraction of the cost of traditional sourcing agents.\n\nInternational sourcing is hard. We make it easy.\n\n<https://youtu.be/tna8cqJsfok>\n\n**❌ The Problem**\n\nSourcing overseas should be straightforward. It never is. Five traps catch almost every foreign buyer, and most never see it coming.\n\n* **Trust** — Suppliers overpromise, cut corners on mass production, and go quiet after the deposit clears.\n* **Price** — Unbeatable quotes hide lower grade materials, hidden fees, and cost hikes once you're locked in.\n* **Timing** — Missed deadlines kill holiday season sales, trigger chargebacks, and derail launches.\n* **Payment terms** — New buyers pay 100% upfront. Established buyers get net-60. The playing field has never been level.\n* **Scalability** — A supplier that works at 500 units may fall apart at 50,000.\n\n**✅ Our Solution**\n\nSaudara means \"family\" in Indonesian. Jennifer's family has spent 50+ years building relationships across Asian manufacturing. We don't blindly search for suppliers. We have their personal numbers.\n\nWe're a broker, not a marketplace. You tell us what you need, we deliver it. Our relationships get us into factories that don't take cold inquiries. Our AI handles the rest, vetting, benchmarking, negotiation support, QC tracking, and logistics, end-to-end.\n\n* **Trust, protected** — Our AI flags supplier inconsistencies and tells you when something looks too good to be true.\n* **Price transparency** — Every quote benchmarked against real market data. You always know what's fair.\n* **Specs, timelines, and QC** — Spec sheets locked before approval, milestones tracked proactively, quality checked from raw materials to shipment.\n* **Better payment terms** — We negotiate 30/70 and net-60 on your behalf. The terms established buyers take for granted, available from day one.\n* **Suppliers that can scale** — Matched to your volume today and where you're going tomorrow.\n\n**🌿 Starting With Indonesia?**\n\nWe're starting with Indonesia because it's where we're from, and because most of it is still inaccessible to Western buyers without the right relationships. We have them.\n\nPalm oil, vanilla, nickel, rattan, patchouli, charcoal briquettes, handcrafted furniture from Jepara, and one of Southeast Asia's strongest apparel manufacturing bases. Resource-rich, largely untapped, and relationship-gated.\n\n**👫 The Team**\n\n**Edward** **Haryono** — Grew up around Indonesian logistics. Amazon supply chain background. President of IABA-PNW (Non profit promoting Indonesia and Pacific Northwest Economic Relations)\n\n**Jennifer Prasetyo** — Third-generation Indonesian manufacturer. Nationally trusted sourcing expert behind [@jenandtech](https://www.instagram.com/jenandtech/) (95K+ followers across all socials).\n\n![uploaded image](/media/?type=post&id=100462&key=user_uploads/2623220/a382ed9a-3817-412d-83cc-92cdf7b763a2)\n\n**Source Smarter**\n\nStop gambling on suppliers. If you or someone you know is sourcing products internationally, send them our way. Start with [Saudara.](https://saudara.ai)\n\nOr, book a call [here](https://calendly.com/saudara/start-sourcing)",
        "url": "https://www.ycombinator.com/launches/Q8M-saudara-ai-connecting-brands-with-trusted-factories",
        "votes": 512,
        "created_at": "2026-04-29T01:12:49.358Z"
      }
    ]
  },
  {
    "id": 31482,
    "name": "Memory Store",
    "slug": "memory-store",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/81520a45661b113f68072bffbdfe2eeb3b94215d.png",
    "website": "https://memory.store",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "One memory for your team's agents. \r\n\r\nTurn every meeting, Claude session, and Slack chat into context your team and agents share.",
    "one_liner": "Company Brain.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1777184787,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/memory-store",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/memory-store.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/memorystore/",
    "x_url": "https://x.com/memorydotstore",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/81520a45661b113f68072bffbdfe2eeb3b94215d.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 29324,
        "full_name": "Diwank Tomer",
        "title": "Founder/CEO",
        "founder_bio": "Thiel Fellow. Columbia University. AI startups since 2013.\n60M weekly NPM downloads.\nAuthor: CryptGPT - Pre-trained Privacy Preserving LLMs.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/diwank-tomer",
        "x_url": "https://x.com/diwanksingh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b64f6efb7fdbf427b9fcbb9d2519832336a826d.jpg"
      },
      {
        "user_id": 720197,
        "full_name": "Ishita Jindal",
        "title": "Founder/CPO",
        "founder_bio": "Building a memory layer for all your AI agents with Memory Store.\n\nSpent a few years building an open source agent workflow orchestrator (Julep AI) and scaled that to 7K GitHub stars. Have experience scaling a couple of the biggest consumer products in India and was a data scientist at IBM prior to that.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ishitajindal/",
        "x_url": "https://x.com/IshitaJindal17",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3ba0c62d380107f6c982b530d9baf6fc5c2583f.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 101548,
        "title": "Memory Store - Your company's brain",
        "tagline": "Shared memory for your company, people AND agents.",
        "body": "**tl;dr:** We collect insights from your team’s Slack, Gmail, and Granola, and turn them into a living memory accessible to every team member and agent. **Book a call [here](https://cal.com/team/memory).**\\\n\\\n**The Problem**\n\nWhen AI makes your team 100x faster, it also creates 100x more things to keep track of. Decisions lost in Slack channels, insights buried in some Granola transcript, Claude chats, Codex sessions, and people's heads.\n\n_Memory_ is the bottleneck now, because your teammates and agents both need the right context to move fast. This is why we built [Memory Store](https://memory.store/).\\\n\\\n<https://youtu.be/vncrqtgEPdY>\n\nBook a call [here](https://cal.com/team/memory).\n\n**How we solve it**\n\nWe collect insights from Slack, Gmail, Granola, and more; and synthesize them into a company brain and keep it up-to-date. Any agent that supports MCP can connect and access it (including ChatGPT Agents, Claude Cowork, Codex, OpenClaw, and [100s more](https://modelcontextprotocol.io/clients)) .\\\n\\\nWe took this one step further with live “**Briefs**” — _living docs that update themselves_ whenever new memories are created! For example, we use them ourselves to track:\n\n* Decision Logs\n* Team Status Updates\n* Customer Asks\n\n![uploaded image](/media/?type=post&id=101548&key=user_uploads/720197/834232da-42b3-4b2a-b375-e4d94f67ed3e)\n\n![uploaded image](/media/?type=post&id=101548&key=user_uploads/720197/6eadb673-751e-4f68-87fe-669603b0e04c)\n\nBook a call [here](https://cal.com/team/memory).\n\n**About us**\n\nWe’re [Diwank](https://x.com/diwanksingh) and [Ishita](https://www.linkedin.com/in/ishitajindal/). Diwank is a Thiel Fellow who's been building AI products since 2012 - his previous company powers phone ordering for Domino's, Wingstop, and Buffalo Wild Wings. Ishita ran products that served millions of users at Jar and Lenskart.\n\nWe have years of experience building agents for enterprises. We also built Julep, an open-source agent orchestrator with 7K+ GitHub stars, where we kept seeing the same bottleneck across every agent: memory. So we built Memory Store! 🙂\n\n![uploaded image](/media/?type=post&id=101548&key=user_uploads/720197/c83e2c32-2de5-4d6c-8b0e-4067bf6d9c66)\n\nWe’d love to hear from you! ❤️ \\\n**Book a call [here](https://cal.com/team/memory).**",
        "url": "https://www.ycombinator.com/launches/QPs-memory-store-your-company-s-brain",
        "votes": 305,
        "created_at": "2026-05-19T14:27:28.169Z"
      }
    ]
  },
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    "id": 31488,
    "name": "Foaster",
    "slug": "foaster",
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    "website": "https://foaster.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Foaster is building the AI-native McKinsey, starting with AI transformation.\r\n\r\nWe deploy AI agents that interview a company's employees at scale, map how work actually gets done, identify bottlenecks and AI opportunities, and draft a transformation roadmap in just 2 weeks. Expert consultants review the final outputs, add judgment where it matters, and feed their corrections back into the system.\r\n\r\nWe believe current AI models already have the capabilities required to automate most of the work consultants do. But traditional consulting firms use them to improve the old model: helping consultants work faster. \r\n\r\nFoaster is instead rebuilding a new model from scratch, where agents do the work that needs scale and humans review the final outputs, bring expertise, and improve the system overtime.\r\n\r\nWe are starting with AI transformation, then progressively expanding to more and more consulting projects using the same approach. Every mission creates structured knowledge from interviews, workflow maps, recommendations, and expert corrections, so the system gets better with every client engagement.\r\n\r\nThe $500B consulting market will eventually be run by our AI agents and a small number of expert humans.",
    "one_liner": "The AI-native McKinsey",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1773744030,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/foaster",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/foaster.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/foaster-ai",
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    "fb_url": null,
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 3198551,
        "full_name": "Raphaël Dabadie",
        "title": "Founder/CEO",
        "founder_bio": "Raphaël is the co-founder and CEO of Foaster.\n\nAt 11, he grew a tennis fan community to 400,000+ people. At 18, he joined Rafael Nadal's team as an agent. He later became a TEDx speaker at 23 and built a public audience around consulting, writing essays that accumulated hundreds of thousands of views.\n\nBefore Foaster, Raphaël and his co-founder Alexandre ran their own AI consultancy. They recently co-authored two of 2025's most viral LLM benchmarks, reaching 12M+ views. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raphaël-dabadie-412bb9248/",
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      {
        "user_id": 3404765,
        "full_name": "Alexandre Combes",
        "title": "Founder/CTO",
        "founder_bio": "Alexandre is the co-founder and CTO of Foaster.\n\nBefore Foaster, he built Répondia, where AI agents handled 60k+ customer calls for major restaurant groups in France. More recently, he and his co-founder Raphaël co-built two of 2025's most viral LLM benchmarks, reaching 12M+ views and being shared by leading figures in tech. They spent the last year running their own AI consultancy.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexandre-combes-2bb450271/",
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    "launches": [
      {
        "id": 100799,
        "title": "Foaster - AI agents that drive your AI transformation",
        "tagline": "The AI-native consulting firm for AI transformation. ",
        "body": "Hey 👋 We’re Raphaël and Alexandre, co-founders of [Foaster](https://foaster.ai).\n\n# \n\n# **TL;DR**\n\nOur agents run **AI-led interviews** **across your entire company** to map how work actually happens, identify the **highest-impact AI opportunities** in just a few days, and support execution through **adoption tracking, personalized upskilling, and expert guidance.**\n\nBook a demo [here](https://foaster.cal.com/raphael.dabadie/30min).\n\n# \n\n# **❌ The Problem**\n\nMost companies confuse AI adoption with AI transformation.\n\n**AI adoption** is giving employees better tools: ChatGPT, Copilot, Claude, internal assistants.\n\nThat can make individuals faster. But the company itself often stays the same: same workflows, same meetings, same approval chains, same bottlenecks.\n\n**AI transformation** is different. It means redesigning how work happens around what AI now makes possible.\n\nThe problem is that this transformation is broad, fast-moving, and continuous. It touches **every function, every workflow, and every role**, while tools and capabilities keep evolving.\n\n**Traditional methods cannot keep up.** Workshops, consulting projects, and static roadmaps are too slow, too generic, and too disconnected from day-to-day operations.\n\n# **✅ The Solution**\n\nFoaster combines AI agents and human experts to help companies make AI transformation scalable, continuous, and personalized.\n\n### 1. Mapping the company\n\nWe run **30 to 45-minute AI-led interviews** across the organization.\n\n![uploaded image](/media/?type=post&id=100799&key=user_uploads/3198551/2ee984d6-7f59-4b8a-9541-fc5ee33eaaef)\n\nAgents collect **the context that usually stays trapped in people’s heads**: workflows, tools, handoffs, bottlenecks, dependencies, informal habits, and repetitive tasks.\n\nThe result is **a granular map of how the company actually works**.\n\n![uploaded image](/media/?type=post&id=100799&key=user_uploads/3198551/5f0f7cd9-27f6-4558-b8b2-4e193bd13569)\n\n### 2. Turning the map into a roadmap\n\nAgents reason over that map to **identify where AI can have the highest impact**: what should be automated, redesigned, augmented, or improved first.\n\nOur **human experts review the findings**, bring business judgment, and help leadership prioritize the roadmap based on impact, feasibility, and company goals.\n\n![uploaded image](/media/?type=post&id=100799&key=user_uploads/3198551/b404941d-2f4f-41e6-a966-bfb809830afc)\n\n### 3. Keeping the transformation alive\n\nFoaster keeps the map updated over time, tracks adoption, detects where teams are stuck, and generates **personalized upskilling for each employee** based on their role, tools, workflows, and level.\n\n![uploaded image](/media/?type=post&id=100799&key=user_uploads/3198551/9791493a-e960-496a-b416-0593848b3691)\n\nAgents handle the scale, follow-up, and personalization while human experts bring judgment, expertise, change management, and implementation support when needed.\n\nThe goal: **help the whole company move in one direction while supporting every employee at individual scale.**\n\n# [**👬**](https://emojipedia.org/men-holding-hands) **The Team**\n\nWe spent the past year working as AI consultants and saw firsthand how broken the old model was.\n\nWe also did AI research and built two benchmarks that got widely shared: [The Werewolf Benchmark](https://werewolf.foaster.ai), notably shared by Greg Brockman, Clément Delangue, and Thomas Wolf, and [The Political Gap Between AIs and Citizens](https://llm-politics.foaster.ai), shared by Elon Musk and viewed over 12 million times on social media.\n\nAt the same time, we watched models get really good at knowledge work. It became obvious that AI could do a large part of what AI consultants were doing, but at much faster speed and scale.\n\n## **📣 Our Ask**\n\nWe’d love intros to enterprises or mid-market companies trying to figure out what AI transformation should look like in practice.\n\nIf you know someone leading AI transformation, AI enablement, operations, or process improvement, we’d love to talk.\n\n👉 [**raphael.dabadie@foaster.ai**](mailto:raphael.dabadie@foaster.ai)\n\n<https://youtu.be/bjOiN6jpABQ>",
        "url": "https://www.ycombinator.com/launches/QDn-foaster-ai-agents-that-drive-your-ai-transformation",
        "votes": 11,
        "created_at": "2026-05-05T21:16:50.290Z"
      }
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  },
  {
    "id": 31491,
    "name": "TesterArmy",
    "slug": "testerarmy",
    "former_names": [
      "Tester Army"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2383517bbad408b44b80d2d5f5912ef81073ff0.png",
    "website": "https://tester.army",
    "all_locations": "Warsaw, Masovian Voivodeship, Poland; Remote",
    "long_description": "TesterArmy is an AI agent that tests websites and mobile apps. It monitors production on a schedule and runs automatically on every GitHub Pull Request, delivering screenshots, recordings, and actionable bug reports.\r\n\r\nDescribe tests in plain English. The agent handles login flows, OAuth, and OTPs, no scripts to write or maintain. We catch the regressions and UX issues that code review misses.",
    "one_liner": "Test your app with AI, catch bugs before users do",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1773767171,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe",
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/testerarmy",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/testerarmy.json",
    "year_founded": 2026,
    "city": "Warsaw",
    "country": "PL",
    "linkedin_url": "https://www.linkedin.com/company/testerarmy",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
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        "user_id": 3414052,
        "full_name": "Szymon Rybczak",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of TesterArmy (YC P26).\n\nYoungest ever contributor to React Native (at 16), maintained open-source libraries with 3M+ downloads weekly.\n\nWorked on v0 iOS with Vercel. 5+ years of commercial experience. Working professionally since 14.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/szymonrybczak/",
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        "user_id": 3413782,
        "full_name": "Oskar Kwaśniewski",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO of TesterArmy (YC P26).\n\nReact Native Core Contributor (100+ PRs merged), created 5+ open-source libraries with over 2.5M downloads.\n\nWorked with Vercel, Meta, AT&T, and more.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/okwasniewski/",
        "x_url": "https://x.com/o_kwasniewski",
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    "launches": [
      {
        "id": 101949,
        "title": "TesterArmy: Test your app with natural language",
        "tagline": "Automated testing for web and mobile apps",
        "body": "Hey everyone [👋\\\n\\\n](https://emojipedia.org/waving-hand)**TL;DR: TesterArmy is an AI-powered QA agent that tests your web or mobile app by actually using it - clicking, typing, navigating like a real user.** \\\n\\\n<https://youtu.be/G4zBvz9ZGac>\n\n### **Launch Day Deal 🚀**\n\nAs part of launch day, we’re offering **30% off every subscription** after [signup](https://tester.army/sign-in) with code: **LAUNCH30**.\n\n### **Problem**\n\nEvery dev team knows they should test more, but writing and maintaining automated tests is painful.\n\nTests take time to build; they break when the UI changes, and when a team is shipping fast, QA is usually the first thing to get skipped.\n\nAnd even when tests pass, they only verify what you explicitly told them to verify. They do not notice confusing flows, broken layouts, misleading copy, or weird UI states that a real user would catch in seconds.\n\n### **Solution**\n\nTesterArmy is an AI agent that **tests your app as a real user would.** You describe what to test in natural language, and the agent clicks, types, and navigates through your app using vision. It catches broken flows, rendering bugs, misleading copy, and confusing UX. No selectors, no scripts, nothing to maintain.\n\nEvery run produces screenshots, recordings, and actionable bug reports. Setup takes minutes: paste your URL or upload a mobile app build, and describe what to test. Done.\n\n![uploaded image](/media/?type=post&id=101949&key=user_uploads/3414052/1f12e0be-1909-4295-b7b0-497898669f63)\n\n### **Meet the team**\n\nWe’re a team of three from Poland 🇵🇱 - [Szymon Rybczak](https://x.com/SzymonRybczak), [Oskar Kwaśniewski](https://x.com/o_kwasniewski) and [Piotr Matyjasik](https://x.com/p_matyjasik). \\\n\\\nSzymon and Oskar have worked closely together for years across **4 companies**, while Piotr and Oskar go even further back, having studied computer science together in Poland. We’ve spent years shipping web and mobile products used by millions, from open source and developer tools to production apps. We came together around a problem we knew firsthand: teams ship fast, but QA still slows everything down.\n\n![uploaded image](/media/?type=post&id=101949&key=user_uploads/3414052/0007b5a1-3c33-4194-b65a-f85dc0f65593)\n\n### **🤝 Our Ask**\n\n**If this is a problem you face, try us out!**\n\n\\- Book a [demo](https://tester.army/meet)\n\n\\- [Sign up now!](https://tester.army/sign-in) We are live and used in production by 20+ companies\\\n\\\n**Thank you! 🙏**\n\nSzymon, Oskar and Piotr",
        "url": "https://www.ycombinator.com/launches/QWL-testerarmy-test-your-app-with-natural-language",
        "votes": 95,
        "created_at": "2026-05-26T01:08:53.084Z"
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    "id": 31494,
    "name": "RASPIRE",
    "slug": "raspire",
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    "website": "https://raspire.com/",
    "all_locations": "Cairo, Cairo Governorate, Egypt",
    "long_description": "RASPIRE is the first line of defense for applications against AI-powered fraud attacks, API abuse, and runtime threats. Unlike code scanners and pentesting tools that identify vulnerabilities before release, RASPIRE operates like a security expert running inside applications, monitoring, detecting, and blocking attacks 24/7 in real time. All without writing a single line of code.",
    "one_liner": "Autonomous Runtime Security",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1780001140,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/raspire",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/raspire.json",
    "year_founded": 2025,
    "city": "Cairo",
    "country": "EG",
    "linkedin_url": "https://www.linkedin.com/company/raspire",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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    "founders": [
      {
        "user_id": 2883773,
        "full_name": "Kareem Selim",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ RASPIRE. Used to break apps for a living. Now shipping automated security for them, built by hackers, against hackers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kareem-se1im",
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      {
        "user_id": 3400512,
        "full_name": "Hassan Mostafa",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO @ RASPIRE. Spent years breaking apps for banks and fintechs, now building the runtime security they were missing.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/h4ss4nmostafa/",
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      {
        "id": 102582,
        "title": "RASPIRE - App Security at AI Speed.",
        "tagline": "The fastest way to secure mobile apps without writing a single line of code.",
        "body": "Hey everyone 👋! We're [Kareem Selim](https://www.linkedin.com/in/kareem-se1im/) and [Hassan Mostafa](https://www.linkedin.com/in/h4ss4nmostafa/), co-founders of [RASPIRE](https://www.linkedin.com/company/raspire/).\n\n**TL;DR:** RASPIRE is an AI runtime security layer for mobile apps. It protects applications every time they run, automatically detecting and responding to attacks in production while giving security teams real-time visibility into threats across their applications. Already protecting apps used by 20M+ end users across banking, fintech, healthtech, and e-commerce.\\\n\\\n**Our Launch Video**: <https://youtu.be/uggwRzCNs88>\n\n\\\n**Ask**: Building a mobile app or already have one? We'll help you secure it. Book a demo: [cal.com/raspire/demo](https://cal.com/raspire/demo)\n\n**The problem**\n\nBuilding and shipping a mobile app has never been easier.\n\nBut security still requires complex integrations, code changes, and months of work.\n\nExisting solutions often requires SDK integrations, configuration, and security expertise to operate but developers shouldn't become security experts just to ship an app.\n\nAs a result, security is often overlooked or assumed to be handled by app stores.\n\nit's not…\n\nand as AI accelerates app development, the attack surface is growing faster than security can keep up.\\\n\\\n**The Solution**\n\nIf you can build an app in one click, you should be able to secure it in one click.\n\nRASPIRE is making securing mobile apps as simple as building them. We protect Android and iOS applications without writing a single line of code.\n\nSimply upload your compiled app, and RASPIRE automatically applies the right protections in minutes, from anti-fraud and app integrity to reverse-engineering and API protection.\n\nUnlike code scanners tools that stop before release, RASPIRE protects applications every time they run, automatically detecting and responding to attacks in production while giving security teams real-time visibility into threats across their applications.\n\n**How it works**\n\nUpload your compiled app (APK/IPA). We harden it automatically. No SDK. No code changes. No config files. No workflow changes. Done in minutes. Plugs into your CI/CD pipeline. Cloud or on-prem, your call.\n\n![uploaded image](/media/?type=post&id=102582&key=user_uploads/3400512/3f3b04d5-4b8a-4357-b2ac-09e039c8ac59)\n\n**Full visibility into your app's security**\n\nOnce shielded, you get real-time visibility into everything happening inside your app. Security events flow into your existing SIEM or your application monitoring platform (e.g. Sentry/DataDog).\n\n![uploaded image](/media/?type=post&id=102582&key=user_uploads/3400512/6156e141-2d96-48e9-aa78-a0e933f97d96)\n\n**Hunt the attackers, not just the attacks**\n\nMost security tools tell you what happened. RASPIRE tells you who did it, down to the device. And lets you block them permanently.\n\n**The team**\n\nWe've known each other for 10 years. We've won CTFs and security hackathons together, and spent 15 combined years in offensive security. Hundreds of security audits for banks, fintechs, and enterprises. We've seen every way a mobile app can break. Now we make sure yours doesn't.\n\n![uploaded image](/media/?type=post&id=102582&key=user_uploads/3400512/011a04a0-00ff-448b-9b18-5387b6933a2e)\n\n**Our ask**\n\nIf any of these describe you, we'd love to talk:\n\n* Leading mobile security and compliance across your organization.\n* Building apps in banking, fintech, healthcare, or other regulated industries.\n* Running a consumer mobile app and concerned about fraud, account takeover, or reverse engineering.\n* Building mobile games and need anti-cheat protection.\n* Building apps with AI and want to protect your APIs, secrets, and user data.\n\nVisit [raspire.com](http://raspire.com) or book a demo at [cal.com/raspire/demo](https://cal.com/raspire/demo)",
        "url": "https://www.ycombinator.com/launches/QgY-raspire-app-security-at-ai-speed",
        "votes": 1176,
        "created_at": "2026-06-04T18:26:15.672Z"
      }
    ]
  },
  {
    "id": 31495,
    "name": "Mentlio",
    "slug": "mentlio",
    "former_names": [
      "Adjoint"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7a733c432ee3fbe8a11ed5dec1520431b7f8d09.png",
    "website": "https://mentlio.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mentlio an applied research lab focused on optimizing AI ROI for the modern enterprise. We help engineering teams draw a line between their AI spend and delivery, per engineer. We then cut ~30% of AI spend via Mentlio's custom ML-based intelligent routing, context optimization, and prompt compression.",
    "one_liner": "Engineering Intelligence and Token Optimization for the AI-Coding Era",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1786589390,
    "tags": [
      "Developer Tools",
      "Machine Learning",
      "Productivity"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
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        "body": "Hey YC, We're Bao, James, and Tom - co-founders of Hessian!\n\n# **TL;DR**\n\n* Every company is racing to adopt AI, but most don't know where to start at scale.\n* We forward-deploy engineers into your team, map the work, then build and operate AI agents on our platform.\n\n**We are already saving our customers hundreds of hours a month and allowing them to put the work where it matters.**\n\n# <https://youtu.be/7lmP5CyehD4>\n\n# **The Problem: Companies cannot adopt AI effectively**\n\nEvery company is racing to adopt AI. Most use disparate SaaS tools that are  built for everyone, optimised for no one and need to be actively prompted.\n\nTwo reasons most companies get stuck:\n\n* **Lack of knowledge and capacity to adopt AI effectively.** Most companies can't identify which workflows should be automated, let alone build a production-grade system to do it. The engineers who can do this work are scarce and concentrated in a handful of frontier firms.\n* **Off-the-shelf tools don't know your business** and lack integration with your existing systems. They do not meet customers where they are.\n\n# **Our Solution: Forward-deploy with AI agents**\n\nWe forward deploy on-site to map the work, and build the agents on our platform to run it end-to-end.\n\n**1. Map the work.** Our engineers deeply embed into your organization to find where automation can be most effective – freeing your team to do more meaningful work.\n\n**2. Build the agents.** Custom AI agents on the Hessian platform that take over that work end-to-end. For example:\n\n* 📊 **Sales agents** that draft proposals between calls, pulling CRM, pricing decks, and customer context automatically.\n* 💰 **Financial agents** that reconcile invoices and prepares month-end close overnight.\n* ⚙️ **Ops agents** that keep internal systems in sync without anyone asking.\n* 📈 **Data agents** deliver critical insights to frontline teams, allowing them to query internal databases and filesystems through chat.\n\n**3. Operate them in production.** We deploy, operate, and scale the agents on our platform.\\\n\\\n**The Hessian Platform.**\n\n![uploaded image](/media/?type=post&id=101784&key=user_uploads/1814065/57dedbc8-a622-4d8e-924a-2d7157f9333b)\n\n![uploaded image](/media/?type=post&id=101784&key=user_uploads/1814065/b038c07e-b933-4d86-91b8-c366e6e07608)\n\n# **The Team**\n\n* **Bao** – Previously co-founded Zettafleet, where he led the team behind a decentralized LLM training platform across hundreds of GPUs; previously published ML research with Google DeepMind; CS from Cambridge and Durham.\n* **James** – Spent five years at Bloomberg building and forward-deploying a data platform processing billions of time series observations a day. CS from Durham, awarded three Cambridge scholarships.\n* **Tom** – Migrated GoCardless core payments database live, with zero downtime, on a system processing over £1B on peak days; previously built CMC Markets's 0-to-1 retail trading app for US investors; CS from Durham.\n\nBook a forward deployed engagement at: <https://calendar.app.google/JSYFwaCXXTiN6Mka8>\n\n📅[**Book a call**](https://calendar.app.google/JSYFwaCXXTiN6Mka8)   [🔗**hessian.sh**](http://hessian.sh)  [📧**founders@hessian.sh**](mailto:founders@hessian.sh)",
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        "title": "Amboras: Your self improving online store",
        "tagline": "Amboras puts the entire e-commerce stack on autopilot and runs your store end to end.",
        "body": "**Hey everyone 👋**\n\nWe're Amin and Imad, cofounders of Amboras.\n\n**TL;DR** Amboras is an AI native platform that puts the entire e-commerce stack on autopilot. Bring an existing store or start from scratch. It learns how your customers buy and autonomously ships the changes that make your store sell better.\n\nMerchants get into e-commerce to build a business. Instead they're stitching together a dozen apps, paying a CRO agency on retainer, and burning weeks with developers and analytics tools just to figure out what their customers actually want. Most stores plateau at a 2% conversion rate. What about the other 98%?\n\nAmboras is making margins possible that weren't possible pre AI.\n\n**Our Launch Video:** <https://www.youtube.com/watch?v=xr0VEaJPJow>\n\nAsk: Do you run an ecommerce store, or know someone who does? I'd love to speak to them directly: <https://cal.com/imad-mokadem/amboras-team>\n\n**Problem ❌**\n\nEcommerce is a $30T+ global industry, still running on tooling that predates AI. Every layer of the stack is static and manual, so nothing a merchant learns ever compounds into a better store.\n\nIt comes down to four things:\n\n1. **Static offers &amp; storefronts.** Stores should learn from every interaction and adapt to every ICP. Today they don't.\n2. **Slow A/B testing.** Finding a winning storefront and offer means designers, CRO experts, developers, and weeks of waiting, just for a single test.\n3. **No agentic layer.** No platform is built for the coming age of agentic purchasing.\n4. **The plugin and agency tax.** A dozen apps charging you monthly, a CRO agency taking a retainer, and on top of that a cut of every conversion uplift they ship.\n\nWe built and grew our own educational board game brand to $200K/month, and watched our margins get eaten by exactly this overhead.\n\n**Solution ✅**\n\nAmboras is an AI native commerce platform. You run your store by talking to AI, and it runs itself on autopilot, getting better every day, hands free.\n\n**Part 1: Build or rebuild your store**\n\nNo dashboards, no apps, no code. You tell Amboras what you want and it does it: generating or rebuilding your storefront, adding products, creating images and copy, testing offers, launching price changes. Building the store is simply the first thing you ask it to do. In the demo below, every action is done by AI. (If you already have a store, we can A/B test Amboras with your current setup, without any risk)\n\n![uploaded image](/media/?type=post&id=101666&key=user_uploads/1449044/2414f82e-a13e-428c-b752-a3346d7bbd42)\n\n**Part 2: Optimize from the first visitor**\n\nEvery session feeds Amboras a richer picture of your customers, and the agent translates that picture into a constantly expanding test queue as your store scales. It autonomously ships offer tweaks, layout changes, and copy variants that compound your CVR, retention, and AOV, while learning about your ICP deeper with every visitor, all working toward the real goal of maximizing lifetime value per visitor. While you focus all your efforts on driving traffic to your page, your store keeps improving on its own, getting sharper the more it sees. Our A/B testing engine is in beta, and early merchants are already seeing over 80% CVR lift on the first version Amboras puts live.\n\n![uploaded image](/media/?type=post&id=101666&key=user_uploads/1449044/ff7ab1d1-bd51-40ed-8c4f-28b23510a05f)\n\n**Ask 💬**\n\nIf you are, or you know, any of the following, We'd love to hear from you:\n\nEstablished store owners People that already have a store and are tired of paying a dozen apps and expensive CRO agencies just to move the needle slightly.\n\nYou can reach out to us at: <https://cal.com/imad-mokadem/amboras-team> or [Imad@amboras.com](mailto:Imad@amboras.com)\n\n**Team**\n\nWe're brothers. Imad studied Mechanical Engineering at ETH Zurich, Amin studied Computer Science at ETH Zurich. We scaled our own educational board game brand to $200K/month, and lived every problem Amboras now solves. Our first attempt to fix it was EcomCoder, a Shopify dev tool we grew to over 1,000 users, until we realized fixing one piece wasn't enough and the whole stack had to be rebuilt. That's Amboras.",
        "url": "https://www.ycombinator.com/launches/QRm-amboras-your-self-improving-online-store",
        "votes": 160,
        "created_at": "2026-05-20T19:03:28.388Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Aster is the first autonomous research lab — thousands of AI research agents orchestrated in parallel toward a single goal. We're on a mission to automate open-ended research: research that defines its own problems before it can answer them. The future doesn't wait to be defined by benchmarks. Neither do we.",
    "one_liner": "Automating open-ended research.",
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    "subindustry": "B2B -> Productivity",
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    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/asterlab",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/asterlab.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/111061400",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
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        "full_name": "Emmett Bicker",
        "title": "Founder/CEO",
        "founder_bio": "Hey! I'm Emmett, I moved to SF when I was 18 to train large language models at Magic, and I just left to start my own company. I've been teaching myself machine learning since I was 15.\n\nI'm making tools that use AI to accelerate science at www.asterlab.ai. My ultimate vision for Aster is a system that will automate ten years of research over a single week.",
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        "id": 103024,
        "title": "Aster: The First YC Neolab",
        "tagline": "Automating open-ended research.",
        "body": "<https://www.youtube.com/watch?v=V-sLwzskvqE>\n\nWhen I was 18, I joined Magic, a frontier lab working on 100M token context coding models, as a reinforcement learning researcher.\n\nWhile I worked there, I gradually grew more drawn to autonomous research. I truly felt that this could automate all the work I was doing at Magic, so in January, I left to start my own lab.\n\nIntroducing Aster — a major breakthrough for research.\n\nAster isn’t a single agent. It is the first autonomous lab orchestrating **thousands of research agents in parallel.**\n\nWe pointed Aster towards ProteinGym, a benchmark that measures how accurately models predict the effects of protein mutations. It set the world record in **30 minutes**.\n\nAnd it did it efficiently:\n\n    •    57x faster than single agent systems on the same task.\n\n    •    One-third the cost for the same result.\n\nBut here’s what we realized: measurable problems are only a small sliver of research.\n\nThe hard ones were never measurable.\n\nAt Aster, we’re on a mission to automate open-ended research, research that defines its own problems before it can answer them.\n\nThe future doesn’t wait to be defined by benchmarks. Neither do we.\n\nRead our research writeups at <https://asterlab.ai>.\n\n![uploaded image](/media/?type=post&id=103024&key=user_uploads/2005232/2264869d-fb12-406c-8697-c16bca2543fd)\n\n![uploaded image](/media/?type=post&id=103024&key=user_uploads/2005232/99902341-9d08-445b-8c96-8782bc7fd65c)\n\n",
        "url": "https://www.ycombinator.com/launches/Qng-aster-the-first-yc-neolab",
        "votes": 26,
        "created_at": "2026-06-13T15:47:30.808Z"
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    "website": "https://prose.md",
    "all_locations": "Boston, MA, USA; Remote",
    "long_description": "OpenProse is building open-source infrastructure for long-running AI work: a declarative language plus a reactive harness/runtime for reliable agent workflows.",
    "one_liner": "An open-source operating system for reliable long-running agents",
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    "year_founded": 2026,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/openprose",
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      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
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        "user_id": 3398710,
        "full_name": "Dan Barrett",
        "title": "Founder/CEO",
        "founder_bio": "Software engineer of 12 years, agent developer of 5 years, two time founder. Creator of OpenProse.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/irl-danb/",
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        "title": "Genie Lessons from Genie Sessions: Prose as a Programming Language",
        "url": "https://newsletter.kentbeck.com/p/genie-lessons-from-genie-sessions",
        "date": "May 26, 2026"
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    "id": 31505,
    "name": "OpenWork",
    "slug": "openwork",
    "former_names": [],
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    "website": "https://openworklabs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "OpenWork is a desktop app that lets people connect to their existing skills, MCPs, and agents. Users can download the app for free, try it with over 50+ model providers, and easily share their setup with their team.",
    "one_liner": "The open source alternative to Claude Cowork",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1774277464,
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    "top_company": false,
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    "nonprofit": false,
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    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/openwork.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/openwork-software",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "full_name": "Ben Shafii",
        "title": "Founder/CEO",
        "founder_bio": "Currently working on OpenWork, the open source alternative to Claude Cowork.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-shafii-450039107/",
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        "title": "Design Engineer - SF",
        "url": "https://www.ycombinator.com/companies/openwork/jobs/DCF4njj-design-engineer-sf",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$130K - $200K",
        "equity_range": "1.00% - 5.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Next.js"
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/openwork/jobs/TqV9SSB-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "3.00% - 5.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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          "TypeScript",
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      {
        "id": 100181,
        "title": "OpenWork - The open source alternative to Claude Cowork",
        "tagline": "An enterprise-ready alternative to Claude Cowork",
        "body": "Hi! This is Ben from OpenWork.\n\nWe're building an **open source, enterprise-ready alternative to Claude Cowork** that companies can deploy internally — with **their own LLMs, their own infrastructure, and their own compliance posture**.\n\nWe launched 3 months ago, and already have 14k GitHub stars and 150k+ downloads.\n\nOpenWork is:\n\n\\- **Desktop** that you can provide to your non-technical employees.\n\n![uploaded image](/media/?type=post&id=100181&key=user_uploads/571092/b4e8acf0-097b-4320-88f2-aca59afd8b42)\n\n\\- **Cloud** that lets you administer which skills, plugins, mcps your users have access to.\n\n![uploaded image](/media/?type=post&id=100181&key=user_uploads/571092/ed1de3e2-31bf-4a27-b1b8-7326cf2aef92)\n\nSome advantages over Claude Cowork:\n\n\\- **Deploy it where you want.** Use our cloud, or self-host on-premise, in your cloud, or hybrid. Companies with stricter requirements keep everything inside their trust perimeter.\n\n\\- **Model-independent, cost-controlled.** Bring your own: self-hosted, Bedrock, Azure, Vertex, or any of 50+ providers. Route per task so you only pay frontier prices when it actually matters.  \n\n\\- **Reuses what you have.** Internal MCPs, runbooks, scripts, and docs become agent capabilitie    \n\n\\- **Shared across the team.** Technical and non-technical teammates use the same agents from the UI, Slack, or Telegram.\n\nOpen source. No lock-in on infra or models.\n\nWays to get started:\n\n1\\. Try the desktop app - no sign-in required\n\n2\\. Sign in to our cloud\n\nor:\n\nbook a demo:\n\n<https://cal.com/team/openwork/enterprise>\n\n    ",
        "url": "https://www.ycombinator.com/launches/Q3p-openwork-the-open-source-alternative-to-claude-cowork",
        "votes": 33,
        "created_at": "2026-04-23T23:20:48.418Z"
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    "id": 31506,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tolmo is an agent-driven security platform that secures every layer — code, CI, cloud applications at the speed of AI changes.\r\n\r\nCodebases are growing faster than ever, at a rate humans can’t keep up with. Tolmo deploys fleets of AI security agents on a live production knowledge graph that connects data from cloud services, containers, databases, and third-party providers (Observability, Security, etc.).\r\n\r\nTolmo agents triage, verify impact, and remediate security issues autonomously, escalating to humans only when truly necessary.",
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    "subindustry": "B2B -> Security",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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      {
        "user_id": 207041,
        "full_name": "Pierre Betouin",
        "title": "Founder/CEO",
        "founder_bio": "Pierre was leading security products at Datadog following the acquisition of Sqreen (W18) - a cybersecurity company providing a comprehensive security monitoring for cloud and web apps protecting over 800 customers in production.\n\nPierre previously spent 9 years at Apple, where he led the team in charge of security assessments for the Internet Services department, hacking products and designing protection.",
        "is_active": true,
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      {
        "user_id": 3476457,
        "full_name": "Vladimir de Turckheim",
        "title": "Founder",
        "founder_bio": "Vladimir (Vlad) was a Staff Engineer working on security products at Datadog. He joined following the acquisition of Sqreen (W18) where he was employee #4 in charge of Node.js instrumentation. He was a Node.js core collaborator for five years and has setup the whole Node.js security program.\n\nHe is also the founder of Heal.dev.",
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      {
        "id": 103900,
        "title": "Tolmo: Secure your software shipped at Claude Code pace",
        "tagline": "Tolmo is your always-on fleet of security agents",
        "body": "Hi everyone! I'm Vlad, co-founder of **Tolmo**, along with Jean-Baptiste Aviat, Pierre Betouin, and Arnaud Breton.\n\n![uploaded image](/media/?type=post&id=103900&key=user_uploads/3476457/8df11a35-45e9-4f77-95d6-0c8bede1dc1a)\n\n\n**Tolmo is an agent-native security platform.** We deploy fleets of AI security agents that continuously identify, triage, and remediate security issues across every layer: code, CI, cloud, and even spec documents. All of that at the speed AI ships software.\n\n<https://www.youtube.com/watch?v=nrOoCl0XRS8>\n\n**Why now?** Production environments are growing faster than humans can review and secure them: 200+ PRs/engineer/week is no longer an outlier. The old security playbook (manual review, ticket queues, alert triage) is fundamentally broken at that pace. At the same time, attackers are using AI agents to break into systems faster than ever, and offensive tooling is being created faster than defensive tooling. Attacking infrastructure has never been cheaper or easier.\n\n**How it works:** Our agents reason over a live production knowledge graph connecting your cloud services, containers, databases, and third-party providers. They identify, triage, and remediate autonomously. Escalating to a human only when truly necessary.\n\n**Who we are:** We're the team behind Datadog's security products and Sqreen (YC W18). We secured thousands of organizations at Datadog, and we've seen firsthand that existing solutions won't keep up with the security challenges introduced by coding agents.\n\n**Join the waitlist: [https://app.tolmo.com/waitlist](https://app.tolmo.com/waitlist)**",
        "url": "https://www.ycombinator.com/launches/R1o-tolmo-secure-your-software-shipped-at-claude-code-pace",
        "votes": 7,
        "created_at": "2026-06-24T15:45:04.646Z"
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    "id": 31507,
    "name": "ProjectX",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Every computer ever made forces you to do one thing at a time. One cursor. One keyboard. One Hardware. One app in focus. Fifty years. Nobody questioned it.\r\n\r\nWe did. We started over.\r\n\r\nWe built InfinityOS, a fundamentally new computer OS on the cloud from ground up.\r\n\r\nInfinity runs every app in its own independent computer -- own GPU, own input, own environment. Windows and Linux in the same session. Humans and agents working side by side. No concurrency ceiling. Cold start in seconds. runs on the browser of any device..",
    "one_liner": "Agent native workspace for heavy parallel workflows on the web ",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1773453080,
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/projectx-cloud",
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    "primary_partner": {
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    "founders": [
      {
        "user_id": 2936820,
        "full_name": "Rounak Adhikary",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO @ ProjectX | Stanford ASES | Draper U | IIT Bombay",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rounakadhikary/",
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      {
        "user_id": 2733173,
        "full_name": "Bishal Karmakar",
        "title": "Founder/CTO",
        "founder_bio": "Systems, streaming, and cloud infra. CTO@ProjectX,  building infinity - a cloud-native operating system.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bishal-123-karmakar/",
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      },
      {
        "user_id": 3419775,
        "full_name": "Sourya Majumder",
        "title": "Founder/COO",
        "founder_bio": "COO @ProjectX | Scaled an IT consulting team to ~120k MRR | Helping you run any application across any device just from a browser tab alongside Rounak and Bishal.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/souryapx",
        "x_url": "https://x.com/runallapps",
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    "jobs": [],
    "news": [
      {
        "title": "What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
        "date": "Jun 04, 2026"
      },
      {
        "title": "Meet Rounak Adhikary: Ashneer Grover once told him ‘Tu Baith Jaa Yaar’ and cut off his pitch mid-sentence; now he's living every startup founder's dream - The Times of India",
        "url": "https://timesofindia.indiatimes.com/life-style/people/meet-rounak-adhikary-ashneer-grover-once-told-him-tu-baith-jaa-yaar-and-cut-off-his-pitch-mid-sentence-now-hes-living-every-startup-founders-dream/articleshow/131419890.cms",
        "date": "May 31, 2026"
      },
      {
        "title": "Lovely Professional University Student's Startup Receives Rs 1.7 Crore From Google Cloud",
        "url": "https://www.indiatimes.com/news/education/lovely-professional-university-students-startup-receives-rs-17-crore-from-google-cloud-624590.html",
        "date": "Mar 11, 2026"
      },
      {
        "title": "LPU student's start-up to raise $3 million in seed funding - Digital Transformation News | The Financial Express",
        "url": "https://www.financialexpress.com/business/digital-transformation-lpu-students-start-up-to-raise-3-million-in-seed-funding-3352963/",
        "date": "Dec 29, 2023"
      },
      {
        "title": "Google Cloud injects Rs 1.7 Cr into ProjectX.Cloud, eyes $3M funding | Startup Story",
        "url": "https://startupstorymedia.com/insights-google-cloud-injects-rs-1-7-cr-into-projectx-cloud-eyes-3m-funding/",
        "date": "Dec 29, 2023"
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    ],
    "launches": [
      {
        "id": 102024,
        "title": "Infinity — A New Computation Layer",
        "tagline": "Months of work, done in days. Every app gets its own GPU, in one browser tab.",
        "body": "Hey YC 👋\n\nWe're Rounak, Bishal &amp; Sourya — co-founders of ProjectX (P26). Today we're launching Infinity.\n\n\\[<https://youtu.be/ZYf2vdWMkDk>\\]\n\n### TL;DR\n\n**Infinity is a new computation layer — a web-based OS where every app you open runs on its own independent compute and GPU, inside one shared workspace.** Open Blender, Unreal, Isaac Sim, DaVinci, VS Code in the same browser tab. Each app is its own machine with its own GPU. They share one filesystem and one terminal. Windows and Linux apps run side by side. Runs on any browser, on any device. Open fifty apps at once — nothing slows down.\n\n![uploaded image](/media/?type=post&id=102024&key=user_uploads/2936820/28491e87-8d68-4bd0-b0ea-860d2d7d1825)\n\n### Problem\n\nThe apps people actually use to build the future — Blender, Unreal, Isaac Sim, Houdini, the CAD/CAM/CAE stack, ML pipelines — still need a $5K workstation under your desk. The cloud was supposed to fix this and didn't. Renting a cloud GPU means hours of driver installs, version matching, container debugging before you do any actual work. Streamed desktops (Citrix, Paperspace, Shadow) give you one VM with one GPU — built for one user running one app at a time. Open Blender and Unreal at the same time and you're fighting yourself for resources.\n\nIt's hitting agents too. Claude Cowork runs on your laptop, sharing your GPU with everything else. Manus runs in a CPU-bound microVM that can't open heavy apps at all. Claude can drive Blender via MCP, but Blender still runs on your machine — the agent just borrows your compute.\n\n### Solution\n\n![uploaded image](/media/?type=post&id=102024&key=user_uploads/2936820/281d546a-52f7-4932-b92e-30608f83f249)\n\nInfinity makes every app its own computer.\n\nOpen Blender, you get a machine with a dedicated GPU. Open Unreal in the next window, that's a second machine with its own GPU. Open Isaac Sim, that's a third. They share a filesystem and a terminal so the workspace feels like one computer, but underneath they're independent machines. Open fifty apps, you have fifty machines. Nothing slows down. Runs entirely in a browser tab — Chromebook, iPad, five-year-old laptop, doesn't matter.\n\n![uploaded image](/media/?type=post&id=102024&key=user_uploads/2936820/971299ab-663b-4181-ae7e-64ed286ecda2)\n\n\\\nEvery Infinity workspace comes will soon ship with a built-in computer use agent that can access run applications without being constrained by compute, no matter how many applications you run or how heavy the workflow is. Tell it what you want, and it spins up the apps, drives them, hands files between them, and finishes the work. You can drive Infinity with a mouse and keyboard, or you can drive it with a prompt.\n\nA concrete example. You prompt: _\"Make a 90-second product launch video. Write the script, generate the voiceover, edit in DaVinci, render the 3D logo in Blender, post to YouTube.\"_\n\nSix apps spin up at once:\n\n* Claude writes the script\n* ElevenLabs generates the voiceover\n* DaVinci Resolve edits the cut\n* Blender renders the 3D logo\n* Chrome uploads to YouTube\n* VS Code writes the publish script\n\n![uploaded image](/media/?type=post&id=102024&key=user_uploads/2936820/fc66db17-d35b-4f3d-8459-cec58a4cebc2)\n\nThey share a workspace. They hand files to each other. **One finished video in an hour, not three days.**\n\n### Where we are — 15 days in early preview \n\n* **20,000+ builders** signed up\n* **1,160% growth** in the last 14 days\n* **20M+ impressions** on X and Instagram\n* **10,000+ signups** in the last 7 days\n* **Out of server capacity** — rate-limiting new signups while we scale\n\nUsed by engineers at **Reliance Industries, CEMEX, Cognizant, Globant, Ola Electric, Lattice, Quizizz, Appsmith, Bonsai Robotics, Induction Labs, Basis Robotics**, and 130+ more teams. All inbound. Our first public demo crashed our servers at midnight; we scaled the infra live at 3am and woke up to inbound from 50+ enterprises.\n\n### Future\n\nOnce every app has its own compute, agents stop being a separate problem.\n\nA computer-use agent is just another app — except the agent drives itself. Because every agent gets its own machine on Infinity, ten agents work in parallel without stepping on each other. The thing that's impossible today — ten parallel cursors, ten parallel renders, ten parallel models — is the default on Infinity.\n\nWe're shipping the multi-agent runtime next. One prompt, a mother agent plans and coordinates, child agents execute on dedicated hardware — each routing through Claude, GPT, Gemini, or any MCP tool. Same substrate humans use, given to agents.\n\n### Ask\n\nIf you are, or know any of the following, we want to hear from you:\n\n**Heavy-GPU teams.** Robotics, Physical AI, 3D/VFX, ML, post-production, CAD/CAM/CAE. If you're buying workstations or wrestling with cloud GPU setup, let's talk.\n\n**Agent builders.** If you're shipping a computer-use agent and hitting the \"where does this actually run\" wall, we should talk early.\n\nFree Infinity credits for all YC founders and alums. Email me directly: [rounak@projectx.cloud](mailto:rounak@projectx.cloud)\n\n— Rounak, Bishal &amp; Sourya",
        "url": "https://www.ycombinator.com/launches/QXY-infinity-a-new-computation-layer",
        "votes": 10,
        "created_at": "2026-05-27T20:06:30.702Z"
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  },
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    "id": 31510,
    "name": "Auxos",
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    "website": "https://www.useauxos.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Auxos builds AI customer twins for marketing, product, and research teams to test their hypotheses at scale. We work with companies to create 1:1 replicas of their customers by sourcing and interviewing real people in their ICP, allowing us to accurately model how they behave and make decisions. \r\n\r\nCurrently, market research is too slow and expensive to use on anything but the biggest decisions. Surveys and panels cost a fortune and it takes weeks to recruit, moderate, and gather insights.   \r\n\r\nAuxos provides a 24/7 available customer panel that can give population-scale insights in minutes. The day-to-day decisions surrounding product, pricing, and positioning can now be validated with the same rigor that used to be reserved for the big ones. \r\n",
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    "subindustry": "B2B",
    "launched_at": 1778707730,
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    "url": "https://www.ycombinator.com/companies/auxos",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/auxos.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/auxos",
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      "url": "https://www.ycombinator.com/people/david-lieb"
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        "user_id": 1361732,
        "full_name": "Ashton Daniel",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO @ Auxos, Simulate every decision before it reaches a real customer\n\nBefore Auxos, I was a consultant at BCG working on Agentic AI deployments for Fortune 500 companies, where I ran customer research surveys, panels, and interviews and watched them spend a fortune for insights. Previously studied CS at Columbia University.\n\nIndividual NCAA Fencing Champion for Columbia University, ranked #1 in the nation, part of Team USA ranked #1 in the world.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ashton-daniel",
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      {
        "user_id": 2092684,
        "full_name": "Jerry Wu",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder and CPO @ Auxos, Simulate every decision before it reaches a real customer\n\nBefore Auxos, I was a senior software engineer at Meta and Instagram where I built the infra for models powering Instagram reels, ads, and Facebook feed, resulting in $100M+ of incremental revenue per year. There, I witnessed how waiting for A/B testing results became the bottleneck in the product development lifecycle. \n\nFenced for Team USA. CS major and Division 1 athlete at UPenn. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jerrywuprofile/",
        "x_url": "https://x.com/jwoobers",
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    "launches": [
      {
        "id": 101309,
        "title": "Auxos: Simulate every decision before it reaches a real customer",
        "tagline": "AI customer clones for marketing, product, and research teams to test their hypotheses at scale.",
        "body": "**TL;DR**\n\n**Auxos creates AI customer clones for marketing, product, and research teams to test their hypotheses at scale.** We work with companies to create 1:1 replicas of their customers by sourcing and interviewing real people in their ICP, allowing us to accurately model how they behave and make decisions.\n\n<https://youtu.be/QW2A35qmU9I>\n\n### **The Problem**\n\nCurrently, market research is slow and expensive. Surveys and panels cost a fortune and it takes weeks to recruit, moderate, and gather insights.\n\nA price change that lowers sales? An ad campaign that doesn't resonate? A website that doesn't convert? These aren't small mistakes. They cost millions.\n\n### **Our Solution: Simulate every decision at scale before it reaches a real customer**\n\nRun a Simulation: Teams can now test any hypothesis in minutes by simply selecting their specific audience, adding the decision they want to test—an ad creative, landing page, or pricing change—and then watching the simulation run.\n\nResults: They can see both the quantitative results showing what their audience prefers, as well as the qualitative commentary explaining why. They can even pull out specific people or segments to drill down further.\n\nInstead of waiting weeks and spending millions on traditional methods, Auxos can get you population scale insights within minutes, at a fraction of the cost.\\\n\\\n**Our mission is to make market research fast, affordable, and accessible.** \n\n### **The Team**\n\nWe met each other fencing for Team USA and have known each other for 15 years. We all individually experienced the pain of slow market research.\n\n**Ashton (CEO)** ran surveys, panels, and interviews for F500 companies while doing Agentic AI transformations and PE due diligence at BCG, watching them wait weeks and spend a fortune. Ashton previously was a CS major at Columbia University.\n\n**Jerry (CPO)** witnessed how waiting for A/B testing results became the bottleneck in the product development lifecycle at Instagram. Jerry previously was a CS major at the University of Pennsylvania.\n\n**Kerry (CTO)** simulated market behavior for 40% of US ecommerce at Amazon Ads. Kerry previously was a CS and math major at Duke University.\n\n![uploaded image](/media/?type=post&id=101309&key=user_uploads/1361732/b931a953-8709-4d58-9a04-fe4e4e8e5680)\n\n### **Ask**\n\nIf you're on a marketing, product, or customer research team that's spending tens of thousands on research every month, or if you're a team that wants to do research but doesn't have the budget for traditional methods, we'd love to talk to you. \n\nBook a demo to see it in action: <https://useauxos.com/>, or contact us directly at [ashton@useauxos.com](mailto:ashton@useauxos.com).",
        "url": "https://www.ycombinator.com/launches/QM1-auxos-simulate-every-decision-before-it-reaches-a-real-customer",
        "votes": 20,
        "created_at": "2026-05-14T00:50:59.652Z"
      }
    ]
  },
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    "id": 31511,
    "name": "Arzana",
    "slug": "arzana",
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    "website": "https://www.arzana.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Arzana trains custom models on manufacturers' operational data to automate their quoting, order entry, invoicing, and other repetitive office work. We've saved our customers over $1.5M in avoided staff costs.\r\n\r\nIn the future, we'll expand into shop-floor automation, sending instructions to machinery and robots to produce the orders that our office agents processed. By 2035, we aim to fully automate 10,000 American factories.",
    "one_liner": "Adaptive AI built for manufacturers",
    "team_size": 13,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1773098013,
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Operations"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/arzana",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arzana.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/arzana-ai",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 3186832,
        "full_name": "William Alexander",
        "title": "Founder/CEO",
        "founder_bio": "Manufacturing nerd from Iowa. Stanford Econ + CS.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/william--alexander/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/521d48dc5e6d373212de8614e6916625ab7c1da1.jpg"
      },
      {
        "user_id": 2656564,
        "full_name": "Marshall Kools",
        "title": "Founder/COO",
        "founder_bio": "Co-founder & COO, Arzana | Stanford MS Engineering + Policy | D1 Wrestler",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marshallkools/",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "These A.I. Dreamers Don’t Fit the Stereotype - The New York Times",
        "url": "https://www.nytimes.com/2026/02/08/style/ai-tech-san-francisco.html",
        "date": "Feb 08, 2026"
      }
    ],
    "launches": [
      {
        "id": 99912,
        "title": "Arzana – AI Office Automation for Manufacturers",
        "tagline": "Arzana is automating the factory office with AI.",
        "body": "Arzana is automating the factory office with AI.\\\n\\\n<https://youtu.be/wbtqEbvezZI?si=XPbpGkzK6XuLnR8B>\n\nAmerican manufacturers waste billions on office staff dedicated to keying in orders, building quotes, and chasing invoices.\n\nAnd when their salespeople get roped into the mess, growth efforts grind to a halt.\n\nArzana automates this repetitive office work with a suite of custom AI Agents that integrate with existing email, ERP, and other systems and handle order entry, quoting, and other mundane tasks.\n\nThe most innovative manufacturers in the country are already using Arzana to process quotes and orders 10x faster, make 70% fewer data-entry errors, and save millions of dollars each year.\n\n[arzana.com](http://arzana.com) | [william@arzana.com](mailto:william@arzana.com) & [marshall@arzana.com](mailto:marshall@arzana.com)\n\n\\-- Marshall and William, Arzana (YC P26)",
        "url": "https://www.ycombinator.com/launches/PzU-arzana-ai-office-automation-for-manufacturers",
        "votes": 25,
        "created_at": "2026-04-20T16:57:09.114Z"
      }
    ]
  },
  {
    "id": 31513,
    "name": "CharacterQuilt",
    "slug": "characterquilt",
    "former_names": [],
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    "website": "https://characterquilt.com",
    "all_locations": "San Francisco, CA, USA",
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        "full_name": "Bhairav Mehta",
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        "full_name": "Clint Burgess",
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        "url": "https://www.ycombinator.com/companies/characterquilt/jobs/yCogh5G-senior-software-engineer-agent-infrastructure-and-reliability",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "id": 100471,
        "title": "Staff Software Engineer, Agent Systems and Product Quality",
        "url": "https://www.ycombinator.com/companies/characterquilt/jobs/vQ6nRar-staff-software-engineer-agent-systems-and-product-quality",
        "location": "New York, NY, US",
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        "url": "https://www.ycombinator.com/companies/characterquilt/jobs/NkPK05W-go-to-market-engineer",
        "location": "New York, NY, US",
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      {
        "id": 101163,
        "title": "CharacterQuilt: AI infrastructure for marketers",
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        "body": "Marketers today don’t actually do much marketing at all.\n\nOver 80% of time spent on launching a marketing campaign is actually ops work: tweaking automation flows in Pardot, configuring audiences in LinkedIn, or wiring HTML emails in Marketo. \n\nCharacterQuilt is AI infrastructure for marketing teams: a brain that learns your brand, and agents that operate your existing tools. Marketing campaigns that used to take 3 agencies, 10 tools, and 6 weeks are now being built, designed, and deployed from CQ in an hour.\n\nCustomers submit a brief like they would send to a human teammate or marketing agency, and they get back fully designed and deployed campaigns.\n\nTeams like 1upHealth, ABC Fitness, and Emplifi use us to:\n\n* Build segments/audiences from messy CRM data faster\n* Create on-brand creative (AI is terrible at staying on-brand)\n* Deploy campaigns automatically into HubSpot, WordPress, LinkedIn etc.\n\nIn other words, CharacterQuilt is for marketers who want to get stuff 100% done, “done done”, not stuck on creative assets or clicking all the buttons in Hubspot. ⬇️\n\n <https://youtu.be/45S39Z-qjtQ>\n\nBhairav did AI research at NASA, NVIDIA, and MIT. I ran growth at Bloomreach for a decade. We built CharacterQuilt by running a full stack marketing agency first, then building agents to do the work faster.\n\nCustomers work with us by submitting a brief like they would send to a human teammate or marketing agency, and they get back fully designed and deployed campaigns. \n\nIf you run demand gen or lifecycle at a B2B/B2C company and want to ship campaigns faster, send us a brief and we’ll build it in 15 minutes.\n\n![uploaded image](/media/?type=post&id=101163&key=user_uploads/438433/f6aa2dda-4a07-4b4c-8a13-f229fc3040a4)\n\n",
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    "long_description": "Expanse unlocks wasted GPU capacity. We recover idle compute through three capabilities: resource prediction (right-sizing job submissions before they reach the scheduler), optimisation suggestions (code and config changes researchers can apply themselves), and failure prediction (catching jobs that will fail before they consume hours of GPU time).\r\n\r\nWe’re four engineers. We ran HPC and GPU training workloads at the largest quant funds and national supercomputing centres. We faced this problem first hand and the only fix was to over-provision and burn millions. Ismaeel built the first multimodal HPC resource predictor as research at EPCC (Edinburgh’s Parallel Computing Centre), which beat every published baseline. This is the tool we wish we had.",
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        "full_name": "Nikodem Bieniek",
        "title": "Founder",
        "founder_bio": "Nikodem is co-founder and CTO of Expanse. Trained and optimised speech recognition models on GPU clusters. Previously: managed the platforms researchers and engineers depended on at one of the world’s largest hedge funds (Millennium). Studied Computer Science at the University of Edinburgh.",
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        "founder_bio": "Yafet is co-founder and COO of Expanse. Built the first GNN-based cluster graph network for predicting SLURM queue wait times at EPCC (Edinburgh’s Parallel Computing Centre). Previously: tooling and infrastructure for researchers at one of the world’s largest quantitative funds (G-Research). Studied Computer Science at the University of Edinburgh.",
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        "full_name": "Eren Mendi",
        "title": "Founder",
        "founder_bio": "Eren is co-founder and CPO of Expanse. Built state-of-the-art decentralised foundation model training systems and performance models. Previously: prototyped emerging technologies in quantitative finance (G-Research). Studied Computer Science at the University of Edinburgh and Imperial College London.",
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        "url": "https://expanse.sh/blog/expanse-raises-5-3m-seed",
        "date": "Sep 16, 2026"
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      {
        "title": "What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
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        "id": 100703,
        "title": "Expanse - Unlock wasted GPU capacity",
        "tagline": "Unlock wasted GPU capacity.",
        "body": "**TL;DR**\n\nExpanse unlocks wasted GPU capacity. We’re the intelligence layer for compute infrastructure. Submit jobs with the right resources. Optimise them to run faster. Debug failures in seconds, not days. Works on cloud and on-prem HPC.\n\nWant to know how much more you can get out of your hardware? Schedule a call: <https://book.getexpanse.io>\n\n**Problem**\n\nRunning compute on a cluster means guessing memory, time, and GPUs before you submit. Get it wrong and your job fails mid-run. Over-guess and you pay for compute you never use. 30% of cloud spend is lost to over-allocation \\[1\\]. Microsoft Research found their own deep learning jobs hit 50% GPU utilisation or lower \\[2\\].\n\nSizing jobs takes decades of experience. Memory patterns, batching, GPU threading, CPU vectorisation. AI agents don’t have enough information to fix it either. SLURM and Kubernetes don’t expose enough structured data. Even strong platform teams are forced to choose: spend time debugging and optimising every job, or accept the waste. AI infrastructure spending will hit $2.52 trillion in 2026 \\[3\\]. The waste grows with every new cluster. This problem isn’t going away.\n\n**Solution**\n\nExpanse learns your cluster. We analyse your code and hardware telemetry, then track them over time. Our deep learning models build a picture of what your workloads actually need. Predictions get sharper with every job.\n\nOur models are deployed on your cluster. All analysis runs on your network. Your code and telemetry never leave your infrastructure. We can’t see your data, and you maintain full data sovereignty.\n\nOne command installs Expanse on your cluster. You get two tools.\n\n`expanse analyse` - for every job:\n\n* **Suggests the right resource configuration**\n* **Predicts failures from historical code and telemetry patterns**\n* **Surfaces code-level optimisations that increase efficiency**\n\n`expanse diagnose` - for every failure:\n\n* **Finds the root cause**\n* **Returns solution-oriented logs with the exact code and config changes to fix it**\n\nDays of debugging and optimising become seconds. Platform teams get what they need to do this in minutes instead of weeks.\n\n**Founders**\n\nWe're four engineers from the University of Edinburgh, all coming from top quant funds and national supercomputing centres. Ismaeel built the first multimodal HPC resource predictor at EPCC (Edinburgh's Parallel Computing Centre), beating every published baseline. Yafet built the first GNN cluster graph network for predicting SLURM queue wait times. Eren built decentralised foundation model training systems at Edinburgh. Niko trained large-scale speech ML models on GPU clusters and architected cloud and Kubernetes infrastructure at one of the largest hedge funds in the world. We left our jobs to fix this ourselves.\n\n**CTA / Ask**\n\nRunning compute and not getting enough out of what you’re paying for? Failing jobs, unclear errors, bills too high? We’d love to chat.\n\nKnow anyone in AI infrastructure (managing cloud and/or on-premise data centres), quant finance, drug discovery, or AI research labs? An intro would mean a lot :)\n\n**YC Deal**\n\nAll YC companies running serious ML training can contact us for a discounted pilot. We’ll find inefficiencies and wastage on your compute setup. Then we deploy Expanse, no changes to your workflows. You get more out of the hardware you’re paying for.\n\nReach out: [founders@expanse.sh](mailto:founders@expanse.sh) or <https://book.getexpanse.io>\n\nReferences\n\n\\[1\\] <https://grafana.com/blog/2023/03/03/how-to-optimize-resource-utilization-with-kubernetes-monitoring-for-grafana-cloud>\n\n\\[2\\] <https://www.microsoft.com/en-us/research/publication/an-empirical-study-on-low-gpu-utilization-of-deep-learning-jobs/>\n\n\\[3\\] <https://www.gartner.com/en/newsroom/press-releases/2026-1-15-gartner-says-worldwide-ai-spending-will-total-2-point-5-trillion-dollars-in-2026>",
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    "id": 31518,
    "name": "Runtime",
    "slug": "runtime",
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    "website": "https://www.runtm.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Runtime helps fast-growing fintechs build and run AI agents for mission-critical payment and risk operations. Teams turn their procedures into specialized agents that work across their systems, with scoped access, human approvals, and a full audit trail.",
    "one_liner": "The AI agent harness for payment teams",
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        "full_name": "Gus Trigos",
        "title": "Founder/CEO",
        "founder_bio": "Gus Trigos is CEO and co-founder of Runtime, the agent harness for payment and risk teams. Runtime powers some of the fastest-growing fintechs in the world like Rain and Finix. He's a two-time YC founder, previously co-founding Mentum (acquired by Nuvocargo), and started his career as a quant at BlackRock's AI Quantitative Investment Group.",
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        "full_name": "Carlos Volante",
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        "founder_bio": "Carlos is the co-founder and CTO of Runtime, with a track record of scaling high-volume financial infrastructure at Modern Treasury, Finix, and Hulu. His experience spans billions in transaction volume, near-perfect uptime, and billing systems for tens of millions of users.",
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        "url": "https://www.ycombinator.com/companies/runtime/jobs/exm704T-forward-deployed-ai-engineer",
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        "url": "https://www.ycombinator.com/companies/runtime/jobs/pNjYg79-founding-ai-ops",
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        "title": "Runtime - Let your whole team ship safely with coding agents",
        "tagline": "Guardrails and observability for all your coding agents.",
        "body": "**Runtime ([runtm.com](http://runtm.com)) lets your whole team ship safely with any coding agent.** It gives your team the guardrails, sandboxes, context, and visibility to go from idea to PR or deployment, with any model, on any infra.\\\n\\\nOur coding agents set your repo environments automatically:\n\n![uploaded image](/media/?type=post&id=99699&key=user_uploads/362619/2951e500-e6ea-4b0a-99de-287fe024a749)\n\nYou can use Runtime through our web interface:\n\n![uploaded image](/media/?type=post&id=99699&key=user_uploads/362619/a7b5c7bd-7ed7-45fa-9684-cacae9d396fd)\n\nOr anyone on your team can trigger it from Slack, Linear, and many other connectors:\n\n![uploaded image](/media/?type=post&id=99699&key=user_uploads/362619/86c3a4fe-5b77-470b-982b-3a01405a7836)\n\nLaunch video:\\\n<https://www.youtube.com/watch?v=m3H8yUbdIHY>\n\n**The problem**\n\nAfter my last company was acquired, I led our coding agents rollout and personally shipped 4+ full-stack products in the first 3 months. I then started enabling the rest of the team to do the same. But we hit a lot of friction fast: we needed to create working environments, we didn’t have any control or context to ensure agents contributed correctly, and nobody had visibility of what was being shipped. And because we'd gone deep on one provider's tooling, when their reliability dipped, the whole team slowed down.\n\nEveryone rolling out coding agents across their team hits the same walls:\n\n* **No environment setup:** No easy way to give engineering and product teams production-like environments where agents can safely run.\n* **No guardrails:** No access controls, system instructions, or secrets management for agents.\n* **No visibility:** No way to see what agents are doing, what they're changing, or where things break.\n* **Vendor lock-in:** Go all-in on one model provider's agent infra and your whole team is exposed when reliability, pricing, or model quality shifts.\n\nWithout these, you end up either moving slower than your competition or causing major downtimes on your product.\n\n**What we built**\n\nRuntime sits between your team and the coding agents they use. It works with Claude Code, Codex, OpenCode, Gemini, Copilot, and others, and can be called programmatically or used through Slack, Linear, Jira, Asana, Teams, CLI, and more.\n\n\\\nHere's what that looks like in practice:\n\n* **Environment templates:** Import any repo and set up a replica of your environments once. Our agents handle the setup for you, even for monorepos and microservices.\n* **Sandboxed environments:** Anyone on the team can spin up a sandbox in milliseconds with a live preview of your product, make changes with their preferred coding agent, and open a PR.\n* **Configurable guardrails:** System instructions, skills, allowlists, encrypted secrets, and role-based access control for both humans and agents.\n* **Observability:** See exactly what every human and agent is doing across every interaction, down to the tool call and chain of thought.\n* **One-click deploys / PRs:** Anyone can deploy from their sandbox. Coding agents auto-fix build errors and verify the deployment is healthy before it goes live. You control what gets deployed and can roll back or destroy deployments at any time.\n\nRuntime can be fully self-hosted.\\\n\\\nCheck our product demo:\n\n<https://youtu.be/Gqdzfo7a8IM>\\\n\\\n**Asks**\n\n**Use Runtime at your company.** Sign up at [app.runtm.com](http://app.runtm.com). If you're a CTO, head of platform, or eng / product leader rolling out coding agents, our team will personally set up your environments and help you set up best practices to your team is shipping within the first days.\n\n**Book a demo** at <https://cal.com/gustavo-trigos-q80bop/runtime-demo-meeting>\n\n**Upvote this** and connect with me to follow the journey:\n\n* <https://www.linkedin.com/in/gustavoatrigos/>\n* <https://x.com/gustrigos>",
        "url": "https://www.ycombinator.com/launches/Pw3-runtime-let-your-whole-team-ship-safely-with-coding-agents",
        "votes": 29,
        "created_at": "2026-04-13T22:39:14.227Z"
      }
    ]
  },
  {
    "id": 31520,
    "name": "Kinect",
    "slug": "kinect",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/13574e5b60275accf705e704a142fb091a82a4b0.png",
    "website": "https://www.trykinect.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kinect builds AI agents that know your brand, your catalog, and your customers. On your site, they sell every visitor — running the conversation, adapting product pages in real time to each customer segment, picking the right recommendation for the question being asked. The agent picks up on what each shopper actually wants from how they ask, what they hesitate on, what they compare, and what objection makes them bounce. \r\n\r\nWe take all of a brand's data and make a structured catalog, brand voice, fit notes, return reasons, segment-level nuance — all so the Kinect agents truly can speak about a brand. When an agent describes the brand, the version it describes is the one you'd want them to, not whatever it guessed from a public catalog scrape. We expose this data as well in the form of agent storefronts, letting every other AI talk about your brand in the way you would want too.\r\n\r\nWe're building for human shoppers today and the AI agents that shop and discover for them. Either way, the entire website needs to get a lot smarter and personalized. \r\n\r\nTwo surfaces. One layer. Built for scaling DTC ecommerce brands.",
    "one_liner": "The AI revenue platform for D2C brands",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1776624849,
    "tags": [
      "E-commerce"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kinect",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kinect.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trykinect/",
    "x_url": "https://x.com/trykinect",
    "fb_url": "https://www.facebook.com/profile.php?id=61569254091915#",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/13574e5b60275accf705e704a142fb091a82a4b0.png",
    "app_video_url": null,
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    ],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 565942,
        "full_name": "Kratik Agrawal",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Co-Founder of Kinect. Previously worked at Google Commerce. Built detection models at Anduril, and was on the enterprise new-products team at Verkada. Before Kinect, I was leading the Conversational Intelligence team at Reevo, helping B2B sellers go into each meeting more prepared and win more. CS @ UCLA",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kratikagrawal/",
        "x_url": "https://x.com/Kratik_ag",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06eea8cdddf22d59507f3ca3eea8626012fd1db2.jpg"
      },
      {
        "user_id": 3413616,
        "full_name": "Varun Kandula",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Kinect. Previously led the Context Graph team at Reevo and worked as an engineer at MongoDB and Capital One. Advised Sephora on \"Ask AI\" tools. Built and scaled his own e-commerce brand to $10K in revenue. As President of NextGen Consulting, led engagements with leading retail brands and sourced $200K+ in contracted ARR across 10+ clients. Former national squash player and peaked at #23 in the US.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/varunkandula",
        "x_url": "http://x.com/varunkand",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10ac8c9f370bf08719c5ad03c44d685e1d41c355.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 100032,
        "title": "Kinect: Personalized storefronts that sell, not just show",
        "tagline": "AI agents that sell every visitor on e-commerce sites — and represent the brand to every other agent.",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR:** **Kinect builds storefronts that sell, not just show. Our AI agents know each ecommerce brand's catalog, voice, and customer taste — they sell to every visitor on the site, and represent the brand to every external agent (ChatGPT, Gemini, Perplexity) asking about it from outside.**\n\n**The problem.** For 25 years, the ecommerce storefront has been a static grid with a search bar. Conversion has hovered at 1–3%. Most visitors leave because the surface is passive - it shows them everything, asks them nothing, and expects them to do the work of figuring out what they want.\n\nAt the same time, brands need to cater to how AI talks and represents their brand when conversations are held off platform. ChatGPT shopping queries doubled in six months. As more shoppers ask agents to compare and decide before they ever land on a brand, brands are losing control of how they're described — what those agents say about a brand is whatever they guessed from a public catalog scrape, not what the brand would want them to say.\n\n**What we built.** On the brand's site, Kinect's agents sell every visitor — running sales conversations like concierge, adapting and personalizing product pages to customer segments in real-time, picking the right recommendation for the question being asked. The agent picks up on what each shopper actually wants by looking at where they came from, what they are doing on site, their searches, filters, order history, and more. The storefront stops being a static grid and starts being a salesperson.\n\nOff-site, we expose an enriched brand-owned data layer makes the brand legible to ChatGPT, Gemini, and Perplexity. Structured catalog, brand voice, fit notes, return reasons, segment-level nuance — all exposed in formats external agents can actually use. When an agent describes the brand, the version it describes is now the one the brand would want them to. All of this sits on a parallel Agent storefront that is context rich, structured, and catered specifically for agents to read and scrape. The Kinect agents are also available for the agents to talk too, ask questions, and more.\n\n**One brand layer built for all surfaces.** Built for scaling DTC e-commerce brands.\n\n**Launch Video: [https://youtu.be/fSOVQKz8AVM](https://youtu.be/fSOVQKz8AVM)**\n\n**Early Traction**\n\n* 11 customers live across Wellness, Fashion, Sporting Goods, and Consumer Goods\n* Engaged users with our sales agents convert 2.4x higher\n* 80% of conversations are first time customers unfamiliar with brands\n* 10-15% conversion gains for early beta partners\n\n**Backstory**\n\nKratik and I spent the past year at Reevo building conversational intelligence for B2B sales – extracting buyer intent from dialogue, helping enterprise teams understand what prospects actually wanted, and close more deals faster. We also used AI to scrape and research customers and know where the gaps are in discovery.\n\nAs we built for B2B reps, our E-Commerce friends kept asking for something like this for their own brands – a way to reimagine the website to drive conversion and personalization. So we got to work.\n\n![uploaded image](/media/?type=post&id=100032&key=user_uploads/3413616/85f4ba2e-bbaa-4b31-86ef-557f1a764b63)\n\n**Asks**\n\nIf you know someone who runs an E-Commerce brand (or you are one) – we’d like to give them early access + dinner on us for you! We're looking for:\n\n* Founders, marketing, and E-Commerce leaders at D2C brands\n* Agencies and Vendors experts who work with merchants\n\nReach out on Bookface or [kratik@trykinect.ai](https://kratik@trykinect.ai) + [varun@trykinect.ai](https://varun@trykinect.ai)\n\nThanks YC!",
        "url": "https://www.ycombinator.com/launches/Q1Q-kinect-personalized-storefronts-that-sell-not-just-show",
        "votes": 210,
        "created_at": "2026-04-22T00:08:20.777Z"
      }
    ]
  },
  {
    "id": 31524,
    "name": "AgentPhone",
    "slug": "agentphone",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cd0619758d7e852f6674fba763a0d1167fa4a69.png",
    "website": "https://agentphone.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The $2T global telecom industry was built for humans. Agents can't act in the real world today because without a phone number, they lack identity. AgentPhone gives every AI agent its own phone number to reach people and businesses through messages and calls.",
    "one_liner": "Phone Numbers for AI Agents",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1778010009,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/agentphone",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/agentphone.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/agentphone/",
    "x_url": "https://x.com/agentphonehq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cd0619758d7e852f6674fba763a0d1167fa4a69.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 541937,
        "full_name": "Manav Modi",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at AgentPhone. Helped drive the Vogue app revamp and grew usage from ~100k to over 1M users. BS Computer Engineering from UIUC.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/manav2modi/",
        "x_url": "https://x.com/manav2modi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1e12722dbfef97063b9e315c895735a9ea0f7af.jpg"
      },
      {
        "user_id": 1068571,
        "full_name": "Meet Modi",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at AgentPhone. Previously built AI Agent infrastructure on WhatsApp for 280+ million businesses at Meta. Bachelor's in Computer Science & Linguistics from UCLA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/meetmodi-/",
        "x_url": "https://x.com/themeetmodi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fcfed7410cdbdfff378e20cd29a053029bea75c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 98603,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/agentphone/jobs/Cnv7LNt-founding-engineer",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $250K",
        "equity_range": "0.25% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "TypeScript"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101384,
        "title": "AgentPhone - Phone Numbers for AI Agents",
        "tagline": "Give AI agents their own phone numbers and identity to call and message across every channel.",
        "body": "AI agents are becoming incredibly capable online, but the moment you need one to make a phone call or send a text, everything falls apart. You end up stitching together telecom providers, voice infrastructure, compliance, routing, and your own memory layer. Giving an agent a phone number should be simple. It wasn't.\n\nSo we built [AgentPhone](http://agentphone.ai/): the telephony infrastructure layer for AI agents.\\\n\\\n<https://youtu.be/Gsj_BaaCDD4>\n\n### **TL;DR:**\n\n* One API to give any AI agent its own phone number\n* iMessage, WhatsApp, RCS, SMS, Calling, and more soon\n* A trusted identity so agents can reach people and businesses in the real world\n\n### **Who's Using It**\n\nTeams at Google's Agent Development Kit, Replit, Y Combinator, Sim AI, LangChain, and Alchemy are already building with AgentPhone.\n\n### **The Problem**\n\nThe $2T global telecom industry was built for humans. AI agents today can browse the web, write code, and manage entire workflows. But they still can't pick up the phone. A lot of business still runs on calls and texts, channels that existed before the internet and email. If agents are going to do real work, they need to work on the channels people already use.\n\n### **How It Works**\n\nAgentPhone gives developers a single API to provision phone numbers for their agents with voice and messaging built in and no compliance headaches. Just plug in and your agent can talk and text to the world.\n\n### **Things already built on AgentPhone:**\n\n* An AI talent recruiter that messages and screens candidates\n* AI employees with their own phone numbers that handle workflows end to end\n* Our own company brain that Manav and Meet use internally to run AgentPhone\n\n### **About Us**\n\nWe're [Meet](https://www.linkedin.com/in/meetmodi-/) and [Manav](https://www.linkedin.com/in/manav2modi). We met 21 years ago when our mom gave birth to Meet. We've been building together ever since.\n\n![uploaded image](/media/?type=post&id=101384&key=user_uploads/1068571/4a9a9fe1-ca93-4dd0-8c56-c1aaf73b076c)\n\nMeet previously built AI agent infrastructure on WhatsApp serving 280+ million businesses at Meta. Manav helped drive the Vogue app revamp and grew it from \\~100K to over 1M users. We saw firsthand that the biggest gap in the agent stack isn't intelligence. It's connectivity.\n\n### **Our Ask**\n\nIf you're building agents that need voice and messaging, try AgentPhone and tell us what breaks. We'll provide free credits to anyone willing to test and share feedback.\n\nSign up at <https://www.agentphone.ai>",
        "url": "https://www.ycombinator.com/launches/QNE-agentphone-phone-numbers-for-ai-agents",
        "votes": 266,
        "created_at": "2026-05-15T13:42:30.250Z"
      }
    ]
  },
  {
    "id": 31525,
    "name": "Arden",
    "slug": "arden",
    "former_names": [
      "Veris"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66c948c30bb6ef7a235b3bf6ee7bcb0964990077.png",
    "website": "https://ardentech.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Arden is the AI-native platform for internal audit and SOX teams.\r\n\r\nWe build AI agents that automatically pull evidence from your stack, test controls end-to-end, and produce audit-ready workpapers in minutes instead of weeks.\r\n\r\nInternal audit is a massive but underserved market. Every public company in the US is required to do SOX testing, yet teams still run it through spreadsheets and screenshots. Arden is the engine that does this work.",
    "one_liner": "AI-native internal audit firm",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1778059206,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/arden",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arden.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ardeninc",
    "x_url": "",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/66c948c30bb6ef7a235b3bf6ee7bcb0964990077.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2594892,
        "full_name": "Aryaman Khanna",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Arden. Previously worked on AI @ Databricks and studied CS & Data Science @ UC Berkeley. Co-authored NeurIPS 2025 research on privacy-preserving ML for autonomous systems.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aryaman-khanna-210a9121b/",
        "x_url": "https://x.com/aryamank24",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed231bd97888750f01480de2da0b722ec1c19f3a.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 100897,
        "title": "Arden: AI-native platform for audit teams",
        "tagline": "Run your audits in minutes, not weeks",
        "body": "Hey everyone!\n\nWe're[ ](https://linkedin.com/in/aryamankhanna)Aryaman and David, co-founders of[ ](https://arden.ai)Arden.\n\n**TL;DR:** Arden is the AI-native platform for audit and SOX teams.\n\n**Ask:** Intros to VPs of Internal Audit / CAEs at public tech companies. [founders@ardentech.ai](mailto:founders@ardentech.ai) or[ ](https://arden.ai)[ardentech.ai](http://ardentech.ai)\n\n<https://www.youtube.com/watch?v=kgOVq8En4yg&feature=youtu.be>\n\n### **The Problem**\n\nInternal audit still runs on spreadsheets and screenshots.\n\nEvery year, audit teams test hundreds of controls to prove the company's financials are trustworthy. For each one, someone spends weeks chasing colleagues for evidence buried in 20+ disconnected systems and manually testing in Excel. They do the same work every quarter.\n\nSOX compliance costs almost $2M a year at a public company, and 70%+ of that is labor. Teams outsource the overflow to consulting firms at $500-1,000 an hour and burn another seven figures.\n\nThe tools that exist today store the workpapers, but don’t do the work.\n\n### **The Solution**\n\nArden is the AI-native platform that runs audit tests end-to-end.\n\n1. **Plugs into your stack.** Connects to your control library, source systems, and past audit data. Learns how your team audits, and builds that knowledge over time\n2. **Gathers evidence from every system.** Computer-use AI agents navigate legacy systems and capture the screenshots external auditors require. Direct integrations pull from your modern stack, saving auditors weeks of back and forth.\n3. **Chases down control owners for you.** A Slack/Teams agent follows up with control owners, saving auditors weeks of back and forth. Our agent has the right context already filled in, so control owners just confirm.\n4. **Runs control tests.** Arden’s testing engine supports full-population or sample-based testing. It catches every exception and flags them for review.\n5. **Produces workpapers ready for external auditors.** Every conclusion ties back to the source evidence, with full traceability into how Arden reached it. \n\nAudit work hasn't changed in 30 years even as the systems in scope have doubled. We’re rebuilding audit from the ground up.\n\n### **The Team**\n\nAryaman and David have been best friends since 6th grade. Aryaman studied CS at Berkeley and David studied AI at MIT, and we’ve done research on LLM reliability (and a million other projects) together.\n\n**Our Ask**\n\nIf you can intro us to any of the following, we'd love it:\n\n* **VPs of Internal Audit, CAEs, or SOX directors** at public companies\n* **CFOs or Controllers** at public or pre-IPO companies\n* **Anyone at a Big 4 or mid-tier firm** doing co-sourced SOX work\n\n[founders@ardentech.ai](mailto:founders@ardentech.ai) or book a demo at [ardentech.ai](https://ardentech.ai)",
        "url": "https://www.ycombinator.com/launches/QFN-arden-ai-native-platform-for-audit-teams",
        "votes": 32,
        "created_at": "2026-05-06T18:04:14.382Z"
      }
    ]
  },
  {
    "id": 31527,
    "name": "Revnu",
    "slug": "revnu",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37b7a4d126859b0a7edce4eaee5984ecd6f85757.png",
    "website": "https://revnu.com",
    "all_locations": "Manchester, England, United Kingdom",
    "long_description": "Revnu does the growth work founders never get round to. Connect your tools and it researches buyers, prepares outreach, runs ads and publishes search content. It watches the results and uses what it learns across every channel. You approve the work that needs your judgment and hear what moved every morning. You build. We grow.",
    "one_liner": "Your AI growth hire.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1776869663,
    "tags": [
      "B2B",
      "Advertising",
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    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "Europe"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/revnu",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/revnu.json",
    "year_founded": 2026,
    "city": "Manchester",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/revnu-app",
    "x_url": "https://x.com/revnu_app",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/revnu",
    "github_url": "https://github.com/revnu-app",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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      {
        "user_id": 1793674,
        "full_name": "George Jefferson",
        "title": "Founder/CEO",
        "founder_bio": "Building revnu.com\n\nSolving growth for startups. Bootstrapped x3 software businesses to £100K+ while at uni. Won the xAI London Hackathon. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/georgejeffers/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b4304d67b6c18332be67e6b684e32dcc762efc3.jpg"
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      {
        "user_id": 2746882,
        "full_name": "art freebrey",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Revnu (P26) your AI growth team. Bootstrapped x3 $150k+ businesses as a student. she/they",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/artfreebrey",
        "x_url": "https://x.com/artfreebrey",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7372644e4adafdfc389d071ee65a63b6972120f8.jpg"
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    "jobs": [
      {
        "id": 103535,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/revnu/jobs/VM4oyLB-founding-engineer",
        "location": "Manchester, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £120K GBP",
        "equity_range": "1.00% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "React",
          "TypeScript",
          "Software Architecture",
          "AI Agents"
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    ],
    "news": [],
    "launches": [
      {
        "id": 101688,
        "title": "Revnu - Your AI growth team. You build, we do everything else.",
        "tagline": "All the boring growth work you know you should do but never get round to. Done overnight.",
        "body": "Hey! We're [George](https://www.linkedin.com/in/georgejeffers/) and [Art](https://www.linkedin.com/in/artfreebrey/), co-founders of [Revnu](https://revnu.com/).\n\n**TL;DR**\n\n[Revnu](https://revnu.com/) is your AI growth hire. Connect your tools and our agents run every growth channel in parallel. Outbound, SEO, ads, short form content + more. You focus on building, we focus on growing.\n\n<https://youtu.be/cL_dwhuRvGM>\n\n**The problem**\n\nAI solved coding. Building software has never been easier and the cost is collapsing to 0.\n\nThe only moat left is distribution.\n\nFounders don’t want to worry about managing email outbound campaigns, ad budgets, blog articles. They’re busy shipping and talking to customers. \n\nThe options today are: hire a growth hire for $200k/yr or hack your own DIY tool stack together.\n\nUntil now! \n\n**Our solution**\n\nWhat Cursor did for coding, we're doing for growth.\n\n[Revnu](https://revnu.com/) runs every growth channel for you, in parallel, 24/7:\n\n* Cold outbound that finds you leads, drafts emails in your voice and books you calls\n* Runs thousands of ad creative variants on Meta, LinkedIn, Reddit, TikTok\n* Gets you ranking in Google and AI search\n* Creates short-form video content\n* Catches customers about to churn and wins them back\n\nNow founders can finally focus on getting back to building.\n\n**About us**\n\nWe're George and Art, both from the UK. We met in school when we were 14 years old and have been best friends ever since. We both dropped out of university the same day to join YC P26 and moved to San Francisco.\n\n* Before [Revnu](https://revnu.com/), we bootstrapped multiple businesses and kept on finding growth was the bottleneck.\n* That's why we decided to build [Revnu](http://revnu.com/). To automate the part of every founder's life they hate the most: the growth work.\n\n**Our ask**\n\nIf you're a technical founder and you hate doing growth (or you know someone who does), book a demo rn at [revnu.com](http://revnu.com).\n\nLove &amp; Guidance\n\n\\- George and Art\n\n![uploaded image](/media/?type=post&id=101688&key=user_uploads/1793674/ba606bb4-cad9-4957-ad1b-b64bf0249806)\n\n",
        "url": "https://www.ycombinator.com/launches/QS8-revnu-your-ai-growth-team-you-build-we-do-everything-else",
        "votes": 17,
        "created_at": "2026-05-21T01:51:58.616Z"
      }
    ]
  },
  {
    "id": 31528,
    "name": "Asendia AI",
    "slug": "asendia-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e735fee67a48586d3de061beb544a8ab8d481fc6.png",
    "website": "https://asendia.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Asendia AI replaces the top-of-funnel recruiter. Our AI agents clone each agency's best human recruiter: their knowledge base, screening logic, outreach style, and judgment, then run the full workflow across phone, SMS, WhatsApp, and email, 24/7. A req comes in; by the time a recruiter sits down, Asendia has already sourced, screened, and drafted submittals. Staffing is a $200B+ industry where speed is the entire margin.",
    "one_liner": "AI recruiters for staffing agencies",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1773592389,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/asendia-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/asendia-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/asendia-ai/",
    "x_url": "https://x.com/asendia_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e735fee67a48586d3de061beb544a8ab8d481fc6.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 2066133,
        "full_name": "Rihab Lajmi",
        "title": "Founder/CEO",
        "founder_bio": "I am Co-Founder & CEO of Asendia AI. Previously I worked as a cloud engineer at companies like Microsoft and Google across Europe and the US. Now I am co-building Asendia AI, the smartest recruitment engine for staffing agencies and Enterprise. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rihab-l-085182164/",
        "x_url": "https://x.com/LajmiRihab",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4dd27506220975f7cda6d35ab60931536d582b74.jpg"
      },
      {
        "user_id": 2096458,
        "full_name": "Badis Zormati",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO of Asendia AI. \nI hold a master's degree in Electrical Engineering and Computer Science from the Technical University of Munich. At Infineon Technologies, I built firmware for MEMS-based products and led the AI transformation of hardware solutions, including the first tiny machine learning models running on the edge for miniature microphones. I worked closely with Fortune 500 companies to drive AI-led transformations of their hardware products.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/badis-zormati/",
        "x_url": "https://x.com/zormati_ba",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40ac24affa911ba2f5b5a37a950a219c69d32ce6.jpg"
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    ],
    "jobs": [
      {
        "id": 97298,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/asendia-ai/jobs/sZsNfP4-product-engineer",
        "location": "Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$80K - $120K",
        "equity_range": "0.15% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Microsoft Azure",
          "Python",
          "Next.js",
          "LLMs",
          "AI Agents"
        ]
      },
      {
        "id": 106665,
        "title": "Marketing Intern - Creative Role",
        "url": "https://www.ycombinator.com/companies/asendia-ai/jobs/NGm0Ico-marketing-intern-creative-role",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$1K - $2K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
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        ]
      },
      {
        "id": 110663,
        "title": "Staffing Intern – Recruiting & Talent",
        "url": "https://www.ycombinator.com/companies/asendia-ai/jobs/mRTyX0b-staffing-intern-recruiting-talent",
        "location": "Remote (US)",
        "type": "Internship",
        "role": "Recruiting & HR",
        "role_type": "Sourcer",
        "salary_range": "$1K - $2K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101994,
        "title": "Asendia AI: clone your best recruiters into AI Agents",
        "tagline": "AI agents, that source, screen and interview candidates at scale. ",
        "body": "We are [Rihab Lajmi](https://www.linkedin.com/in/rihab-l-085182164/) and [Badis Zormati,](https://www.linkedin.com/in/badis-zormati/) Co-founders of [Asendia AI.](https://asendia.ai/)\n\n[Asendia AI](https://asendia.ai) clones your best recruiters into self learning AI agents that source, screen and help hire candidates 10x faster! And is used today by the top staffing companies in the US!\n\nSee Asendia AI in action: 🔗[ Talk to Asendia Founders](https://calendly.com/rihab-lajmi-asendia-ai/asendia-p26-investor-meetings-clone-1)\n\nSince joining YC:\\\n→ Top recruitment companies in the industry now running on [**Asendia AI**](https://www.linkedin.com/company/asendia-ai/)\\\n→ 4 major industry events sponsored\\\n→ hosted a webinar with 700 industry leaders\\\n→ Multiple dinners with customers and partners across the US\n\n> Check out our Launch video [**Here**](https://www.youtube.com/watch?v=o8-uV_ZP86I)\n\n![uploaded image](/media/?type=post&id=101994&key=user_uploads/2066133/a2a5c535-9215-4802-b5b7-d147a459275c)\n\n## Problem\n\nStaffing agencies lose deals every day because recruiters don’t have enough hours to place candidates fast enough.\n\n* Recruiters spend 80% of their day on repetitive admin work: screening, outreach, scheduling, and follow-ups\n* That leaves only a few hours for the work that actually drives placements: relationships, judgment, and closing\n* Every candidate not submitted is a placement a faster agency wins\n\nIn staffing, speed is the margin.\n\n## Solution\n\nAsendia lets staffing agencies build their own AI recruiters.\n\nEach AI recruiter is cloned from how your best human recruiters actually work: their screening criteria, outreach style, prioritization logic, and escalation rules.\n\nYou configure how they operate:\n\n* Which channels they use: phone, SMS, WhatsApp, email\n* How they screen candidates\n* What qualifies a candidate\n* When they escalate to a human recruiter\n\nUnder the hood, [Asendia](https://asendia.ai) connects to your ATS and learns from every candidate record, client req, and placement history.\n\nYour AI recruiters don’t just search by keywords. They understand your database like a tenured recruiter, matching on context and surfacing signals like contract end dates, availability shifts, and past behavior.\n\nEvery morning, your team gets a brief: who was sourced, who responded, who’s qualified, and what needs attention.\n\nRecruiters stop spending eight hours on admin and start spending eight hours on the work that wins placements.\n\n**The team**\n\n**Rihab** is ex-Google and ex-Microsoft, where she led cloud and engineering initiatives for Fortune 500 companies. Won world-wide mathematics olympiad at the age of 16.\n\n**Badis** graduated with a Master’s degree in AI and Machine Learning from the Technical University of Munich and led AI projects at Infineon Technologies, a leading global semiconductor company. Worked closely with fortune 500 to assist with AI led transformations for hardware product.\n\n![uploaded image](/media/?type=post&id=101994&key=user_uploads/2066133/80e164de-2ee1-41ad-adbc-e4d1f3a3d205)\n\n",
        "url": "https://www.ycombinator.com/launches/QX4-asendia-ai-clone-your-best-recruiters-into-ai-agents",
        "votes": 27,
        "created_at": "2026-05-26T21:03:16.723Z"
      },
      {
        "id": 100085,
        "title": "Asendia AI — Clone Your Best Recruiter!",
        "tagline": "Asendia AI builds AI recruiters for staffing agencies and enterprise companies. It clones their best recruiters into AI agents that match, screen, and submit candidates 10x faster.",
        "body": "We are [Rihab Lajmi](https://www.linkedin.com/in/rihab-l-085182164/) and [Badis Zormati,](https://www.linkedin.com/in/badis-zormati/) Co-founders of [Asendia AI.](https://asendia.ai/)\n\n---\n\nAsendia AI clones your best recruiters into AI agents that match, screen, and submit candidates 10x faster. When a healthcare staffing agency gets a job order for 20 ICU nurses, a human recruiter spends days searching their database, making phone calls, and screening candidates. Asendia does all of that automatically — it searches the agency's existing candidate database, reaches out via SMS, email, and phone, conducts screening interviews in multiple languages, and writes up structured notes directly in the ATS. The recruiter just reviews the top candidates and submits them.\\\n\\\nStaffing is different from regular hiring. It's a daily revenue operation. Agencies make money every time they place someone, and they're placing people constantly. That means Asendia isn't an occasional tool; it runs every day on every open job. Over time, we learn things no general-purpose AI tool would know: that ICU nurses in Dallas respond best to SMS on Sunday evenings, that locum tenens candidates need a different outreach cadence than perm roles, which candidate pools are exhausted. That operational memory compounds and makes it very hard for us to turn off.\n\nOur Launch Video: <https://www.youtube.com/watch?v=8pdqUklre6o>\n\n**The problem**\n\nStaffing agencies lose placements every day, not because they lack talent, but because their recruiters don't have enough hours to place candidates in time.\n\nThe average recruiter spends 80% of their day on manual redundant work. Screening, data entry, outreach, follow-ups, scheduling. The actual recruiting, the judgment, the relationships, the conversations that close, gets two hours a day if they're lucky. Every hour spent on admin is a candidate they didn't submit. Every candidate they didn't submit is a placement a faster agency took. In staffing, speed isn't a nice-to-have. It's the entire margin.\n\n**What we built**\n\nOn the Asendia platform, you build your own AI recruiters. Each one can be cloned from how your best human recruiters actually work, their screening criteria, their outreach style, their prioritization logic. You configure the workflows: which channels they use (phone, SMS, WhatsApp, email), how they screen, what qualifies a candidate, when they escalate to a human.\n\nUnder the hood, Asendia connects to your ATS and digests every candidate record, every client req, every placement history. Your AI recruiters don't search by keywords. They understand your database the way a tenured recruiter does, matching on real context, flagging candidates based on signals like contract end dates, availability shifts, and past behavior.\n\nEvery morning, your team gets a brief: who was sourced, who responded, who's qualified, and what needs attention. Your human recruiters stop spending eight hours on admin and start spending eight hours on the part that wins placements: judgment, relationships, and closing.\n\n**The team**\n\n**Rihab** is ex-Google and ex-Microsoft, where she led cloud and engineering initiatives for Fortune 500 companies. Won the World-Wide Mathematics Olympiad at the age of 16.\n\n**Badis** graduated with a Master’s degree in AI and Machine Learning from the Technical University of Munich and led AI projects at Infineon Technologies, a leading global semiconductor company. Worked closely with Fortune 500 to assist with AI-led transformations for a hardware product.\n\n![uploaded image](/media/?type=post&id=100085&key=user_uploads/2066133/93ccf745-21fa-47bb-9ce1-11e65bde5e7e)\n\n#AI #Recruiting #B2B #artificial_intelligence #Hiring #Agents #Agentic",
        "url": "https://www.ycombinator.com/launches/Q2H-asendia-ai-clone-your-best-recruiter",
        "votes": 28,
        "created_at": "2026-04-23T13:55:50.208Z"
      }
    ]
  },
  {
    "id": 31531,
    "name": "Manicule",
    "slug": "manicule",
    "former_names": [
      "better-cmdk"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd583af5fd7e25beb6cf6bd63167daa1273db6c5.png",
    "website": "https://manicule.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Manicule does AgentRel. We get companies discovered and used by AI agents. Think DevRel, rebuilt for a world where agents make all the decisions. We own developer documentation and technical content across social channels, end-to-end. We've grown 100% MoM over the last three months to $53K in monthly revenue, with customers like Supermemory, Greptile, Reducto, and Mastra.\r\n  \r\nGetting discovered and used by agents is its own job now, and the market for it is broken. The SEO/GEO SaaS tools just show you data like where you rank in AI answers. The agencies are slow and lack know-how with agents. The one person who could own all of it end-to-end, a DevRel, is nearly impossible to hire: our customers have had roles open for months at $300K+ and still can't find anyone good. \r\n\r\nWe solve all these gaps. Naman has been doing fractional DevRel since he was 13, working with companies like PromptLayer, Brightdata, and Courier.com. Shreyans has been building since 14 — he built an AI app that hit App Store Productivity Trending within a month, and\r\nwas the founding engineer at Supermemory. We met in high school and have built multiple startups together since.",
    "one_liner": "AgentRel — Devrel For Agents",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1773484930,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/manicule",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/manicule.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/manicule",
    "x_url": "https://x.com/manicule",
    "fb_url": null,
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        "title": "Manicule - AI Native Technical Docs & DevRel-as-a-Service",
        "tagline": "Manicule owns docs and technical content for early-stage devtools across GEO, socials, and product videos.",
        "body": "**TL;DR:** Manicule owns docs and technical content for early-stage devtools across GEO, socials, and product videos. Twice as fast with AI and half the cost of hiring a DevRel, with solid results at Greptile, Skyvern, and Supermemory.\n\n—\n\n[**Manicule**](http://manicule.dev/) is a technical studio that owns your docs and developer-facing content end-to-end to help you grow. We write **for agents** and humans, ship in **&lt;2 weeks**, and have delivered tangible results - **\\~37%** less support tickets, millions of impressions on AI search & socials, and **$100K+** in enterprise deals closed across customers.\n\nCustomers include [**Greptile**](http://greptile.com/docs) (W24, $25M+ raised), [**Reducto**](http://docs.reducto.ai/) (W24, $100M+ raised), [**Supermemory**](http://supermemory.ai/docs), [Skyvern (S23),](http://skyvern.com/docs) Rootly, etc.\n\n## **The Problem**\n\n* Founders don’t have time to write docs, engineers hate doing it, and it ends up on the backlog forever.\n* Nobody knows how to optimize their docs for agents\n* AI tools like CC hallucinate code snippets and write empty content without nuance\n* Docs sit unused as a growth channel, leaking signups to competitors with better content.\n\nWe solve that, and here’s proof.\n\nWe’ve engineered agent-optimized docs and benchmarked it on our clients’ docs. On average, agents perform **no errors** while using our approach vs **failing 25% of the time** with other frameworks.\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/66c15ca0-661e-465a-9356-3af1492a195a)\n\n## **Case Study: Supermemory**\n\nSupermemory had two overlapping products and a lot of internal confusion about what each one was actually for. Customers couldn't figure it out either, and the docs were full of broken code snippets.\n\nSo, we:\n\n* Got on calls with their CEO to lock down messaging and figure out the exact outcome each product was best for.\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/19709c8a-0654-4eb0-988e-fcd387fe538a)\n\n* Redesigned the information architecture from scratch. We mapped the journey from zero to \"aha\" and structured the docs like that.\n* Wrote every page tied to a concrete developer outcome, with AI agents drafting from the OpenAPI spec and SDK definitions, then humans refining, testing every snippet, and cutting the fluff.\n\n**Results:** 37% increase in answer success rate, multiple enterprise deals closed directly from docs, and viral reception on Twitter.\n\nHere’s the Mintlify stats from **before** our engagement:\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/3e448fc8-1672-4d58-bf45-44acd73b0d51)\n\nAnd from after:\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/37eaa68b-ab79-4c37-a41b-784a9fd3f115)\n\nBesides the docs, we also created a lot of blog content, cookbooks, case studies, and videos for GEO, which have bought millions in impressions across AI search and socials.\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/453c538a-5d5b-4b58-84a2-0c0112c364a2)\n\n## **How we work**\n\nYou bring us in for a complete docs write-up that ships in **about 15 days** and **keep us on call 24/7** so your docs never fall behind. From there, we extend across your full developer growth surface like blogs, cookbooks, videos, social distribution, and GEO. All content written for both agents and humans.\n\n## **Our asks**\n\n* **If your docs need work, we'd love to talk.** You can book a call here: [**https://savvycal.com/manicule/intro**](https://savvycal.com/manicule/intro**)\n* We’re working with a select few Seed+ companies first for blogs, videos, cookbooks, and overall developer marketing to deliver the best results. If you’d like to be one those, let’s chat: [**https://savvycal.com/manicule/intro**](https://savvycal.com/manicule/intro)\n\nVideo: <https://youtu.be/JIHAMiuHLls>",
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        "title": "Astraea - Agents Accelerating clinical trials.",
        "tagline": "Astraea is an agentic platform that automates clinical trial data analysis and statistical programming, from raw study data to CDISC-compliant datasets, TFLs, and FDA-ready outputs.",
        "body": "# **TL;DR**\n\nClinical trial analysis is still shockingly manual.\n\nAfter a study collects data, teams spend months converting raw clinical data into SDTM, ADaM, TFLs, and submission-ready packages. This work is slow, expensive, and error-prone.\n\nAstraea is a platform that completely automates the end-to-end biometrics pipeline from just a protocol and the raw data to a submission ready output. We are starting with oncology and rare disease studies, where analysis complexity is high and every month saved matters.\n\n![uploaded image](/media/?type=post&id=101307&key=user_uploads/3227004/b76b7415-1d15-4060-9cbd-22e974712bb0)\n\n**The Problem**\n\nToday, sponsors and CROs still rely on large teams of statistical programmers, biostatisticians, and data managers to manually transform messy clinical data into regulatory outputs.\n\nA single study can require:\n\n1. Raw data cleaning and reconciliation\n2. SDTM mapping\n3. ADaM dataset creation\n4. TFL shell generation\n5. Statistical programming\n6. QC and validation\n7. Regulatory formatting and traceability\n\nFrom our customer conversations, this can take around 9 months with teams of 5-10 people communicating asynchronously. And the process is still full of Word docs, Excel specs, SAS programs, manual handoffs, version-control issues, and repeated QC cycles.\n\nUltimately, this means slower decisions, delayed filings, higher CRO spend, and less control over the most important data in the company.\n\n## **Our Solution**\n\nWe built the first AI native platform for clinical trial biometrics.\n\nAstraea takes study inputs and automatically generates the datasets, analysis specs, statistical code, and outputs required for regulatory review.\n\nThe pipeline:\n\n1. Ingest raw clinical data, protocol, and study metadata\n2. Generate TFL shells, SAP, eCRF from the protocol and study design\n3. Generate CDISC-compliant SDTM datasets\n4. Generate ADaM datasets and analysis-ready variables\n5. Produce tables, figures, listings, and traceable statistical programs\n6. Run QC checks and generate FDA-ready outputs\n\nWe are the first to actually completely automate workflows across SDTM, ADaM, TFL generation, Pinnacle 21 checks, and specification creation.\n\nFor ongoing studies, we have compressed work that normally takes months into days.\n\n## **Why Now**\n\nClinical trials are becoming more complex, but the tools have not improved in the last 20 years (something an actual customer said). At the same time, AI models can finally reason across protocols, SAPs, data dictionaries, clinical datasets, and regulatory standards.\n\nThat unlocks something new: biometrics workflows that are not just assisted by software, but executed by agents.\n\nAstraea is not replacing scientific judgment. We are automating the manual programming and data wrangling that slows teams down, while keeping humans in the loop for review, validation, and regulatory decisions.\n\n## **Our Team**\n\n![uploaded image](/media/?type=post&id=101307&key=user_uploads/3227004/13d628c7-5571-42b0-960a-1b7246effa4c)\n\n\\*\\*Joshua Wang: Co-founder, CEO\\\n\\*\\* Stanford, math/CS. Built multi-agent AI systems and clinical data automation workflows. Previously worked on production AI systems for enterprise customers.\n\n\\*\\*Sanmay Sarada: Co-founder, CTO\\\n\\*\\* Stanford CS. Built clinical and hospital data infrastructure across diagnostic software systems. Focused on regulated healthcare workflows and data pipelines.\n\nWe started Astraea because people close to us in pharma kept describing the same bottleneck: clinical trial analysis was too manual, too slow, and too dependent on fragmented CRO workflows.\n\nSo we built the automation layer we wished existed.\n\nFind us at [**founders@tryastraea.com**](mailto:founders@tryastraea.com)\n\n<https://tryastraea.com/>",
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        "votes": 62,
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        "title": "Gigacatalyst - Customize your software to every user with AI",
        "tagline": "Give your sales and CS teams superpowers to build missing features, so you win more deals, increase stickiness, and ship faster",
        "body": "Hey YC! 👋 I'm Namanyay.\n\n**TL;DR:** Gigacatalyst allows sales and CS teams to build missing features that customers need, so you stop losing business because of feature gaps. We’ve helped our customers unblock $1M in sales in 6 weeks.\n\n<https://www.youtube.com/watch?v=_B8rgr1GB8c>\n\n### Problem\n\nWhen you sell software to large businesses, you realize that each customer needs their own workflow and features. Traditionally, this either means long engineering roadmaps, or, customers end up using workarounds. No software can adapt to all customer workflows.\n\nThis creates three compounding problems:\n\n1\\. **You lose competitive deals** — customers choose vendors that have the exact workflow they operate on.\n\n2\\. **Customers don’t fully adopt** — they buy, but the product doesn’t match how they actually work. So they build workarounds and usage stays low, affecting renewals.\n\n3\\. **Your backlog fills with one-off requests** — when you sell to many different types of companies, each customer needs something slightly different.\n\n### How Gigacatalyst Works\n\nGigacatalyst embeds directly inside your SaaS product, built on your APIs and design system and governed by your auth and security. Your customers and team members can build new missing workflows in natural language.\n\n![uploaded image](/media/?type=post&id=101321&key=user_uploads/118028/9bd0ac4c-be86-4a72-b320-97d5c6c5eb0f)\n\n\\- A Solutions Engineer types _\"Build a KPI dashboard for maintenance performance\"_ → working dashboard on real data in \\~1 minute\n\n\\- A customer asks for _\"a photo upload tab that OCRs asset labels and creates a record\"_ → deployed without waiting for engineers\n\n\\- A vertical enterprise needs _\"custom lifecycle tracking\"_ → delivered in minutes, not quarters\n\nEach built app runs in a sandbox and inherits your existing auth and RBAC. Everything is native, governed, and shareable.\n\n### Results\n\n\\- $1M+ in pipeline unblocked in 6 weeks\n\n\\- 70% day-30 retention\n\n\\- $100K in churn prevented\n\n\\- 800+ features shipped in 6 weeks (\\~2,400 engineering hours equivalent)\n\n![uploaded image](/media/?type=post&id=101321&key=user_uploads/118028/3c0f88ed-593b-433f-add6-5bcf4abc1386)\n\n### Asks\n\n1\\. **If you’re a B2B SaaS founder losing deals** - try Gigacatalyst: <https://gigacatalyst.com>\n\n2\\. **Know a CRO, VP Sales, or CPO at a vertical SaaS company?** Forward this - if relevant, they' will get a lot of value\n\nLearn more: <https://gigacatalyst.com>\n\nTalk to founder: <https://cal.com/namanyayg/yc-priority-call>",
        "url": "https://www.ycombinator.com/launches/QMD-gigacatalyst-customize-your-software-to-every-user-with-ai",
        "votes": 16,
        "created_at": "2026-05-14T06:55:30.055Z"
      }
    ]
  },
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    "id": 31537,
    "name": "Trident",
    "slug": "trident",
    "former_names": [
      "Esprit"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/537de46d97dcdac9c07b330a6a1a4b2ab0583b7b.png",
    "website": "https://tridentsecurity.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Trident is the standard for modern day security. its an agentic pentester that chains vulnerabilities together like a real attacker mapping verified attack paths across AWS, Azure, GCP, web apps, and APIs. Run AI attacks and get fixes.\r\n\r\nGet started today: tridentsecurity.io",
    "one_liner": "Autonomous offensive security agents. The best defense is offense",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1785361922,
    "tags": [
      "Security",
      "Cybersecurity",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/trident",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tridentsecure",
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    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
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    "founders": [
      {
        "user_id": 2758911,
        "full_name": "Junaid Mahmood",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @Trident, CTF player & bounty hunter. Taught coding at 16 ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/junaidmahmood-/",
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      {
        "user_id": 2702103,
        "full_name": "Dekai Li",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @Trident, CS @University of Waterloo. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/li-dekai-8287332a6/",
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    "launches": [
      {
        "id": 110468,
        "title": "Trident: Secure your company 24/7",
        "tagline": "My app keeps getting hacked what can I do?",
        "body": "\n![uploaded image](/media/?type=post&id=110468&key=user_uploads/2758911/13ca2ba5-d205-4afd-8d7c-ea92334d7136)\n\n**TL;DR**: Traditional pentesting is a thing of the past. Attackers use AI now, so we're making it fair. Trident safely and continuously attacks your own apps and cloud so you know what to fix before they do.\n\n![uploaded image](/media/?type=post&id=110468&key=user_uploads/2758911/a4001049-62a7-4856-b611-2f692dc8c3b7)\n\nToday we're launching Trident.\n\nAI changed the game on both sides. Your team ships every single hour; attackers scan and exploit at a scale no human team can match. Meanwhile, security is still sold as an annual pentest: a PDF about a version of your product that no longer exists.\n\nThat's not a fair fight. So we built Trident to make it even.\n\nTrident safely runs attacks on your own web apps, APIs, and cloud (AWS, GCP, Azure, Kubernetes), continuously. Every finding comes as an attack path that actually reaches your data, with proof of exploit and a proper fix. You know what to fix before someone else finds it.\\\n\\\n[https://drive.google.com/file/d/1qIn0j8LgI3XijoqyE0HBT4G66hBdyCAy](https://drive.google.com/file/d/1qIn0j8LgI3XijoqyE0HBT4G66hBdyCAy/view?usp=sharing)\n\nSince our batch started, we've found critical vulns in a ton of startups, bug bounty prorgams and 3 unicorns:\n\n* API keys hardcoded in desktop app binaries (yes, that was us on Twitter)\n* Publicly exposed S3 buckets and Azure Blob containers\n* Exploitable flaws in live DeFi protocols\n\nAll responsibly disclosed and fixed before anyone else got there. And none of these were careless teams, just great ones moving fast.\n\n![uploaded image](/media/?type=post&id=110468&key=user_uploads/2758911/bdb88f72-d6d1-44f1-a2d8-4aa555bfa399)\n\nCan't afford a dedicated security team yet? That's exactly who we built this for.\n\nYour job is to ship. Ours is to secure.",
        "url": "https://www.ycombinator.com/launches/Sjk-trident-secure-your-company-24-7",
        "votes": 14,
        "created_at": "2026-08-13T22:30:00.463Z"
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    "id": 31538,
    "name": "flowscope",
    "slug": "flowscope",
    "former_names": [
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    "website": "https://flowscope.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "flowscope is an AI implementation firm that deploys agents to map, optimize, and automate companies’ processes end to end",
    "one_liner": "AI implementation firm that maps and automates business processes",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1778457195,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/flowscope",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/flowscope.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/flow-scope",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2941497,
        "full_name": "Samuel Mirpuri",
        "title": "Founder/CEO",
        "founder_bio": "McKinsey (QuantumBlack)\nHarvard MBA\nSatellite Engineer MIT\nAeronautical Engineering, Imperial College\nPlatoon commander, Singapore Armed Forces",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samuel-mirpuri",
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      },
      {
        "user_id": 879666,
        "full_name": "Javier Leguina",
        "title": "Founder/CTO",
        "founder_bio": "2x founder\nFounding Engineer ModelML (W24)\nML Engineer Encord (W21)\nMSc Machine Learning (UCL)\nAeronautical Engineering (Imperial College)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jleguina0",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/934205d5fa61cd6933adbb524ad1ac3d9d30002c.jpg"
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    "jobs": [
      {
        "id": 111092,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/flowscope/jobs/l9IvfsO-founding-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.50%",
        "experience": "2+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Microsoft Azure",
          "Rust",
          "TypeScript",
          "Windows",
          "Next.js",
          "LLMs",
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    "launches": [
      {
        "id": 120295,
        "title": "flowscope: Your in-house AI process consultant",
        "tagline": "Map your processes in two weeks, then deploy AI where it delivers the most value",
        "body": "**TL;DR**\n\nOur new AI process consultant makes AI implementation simple. Companies can now map out entire departments autonomously in two weeks, see where AI can deliver the most value, and deploy AI systems into production.\n\n<https://youtu.be/Cq_ekX_A-LY>\n\n**The problem**\n\nAI models have never been more powerful, but most companies still haven't put them to work. The hardest part is deployment: every company runs on fragmented systems and decades of manual processes. Fitting AI into those systems currently takes months of interviews, consultants and integrators.\n\n**How it works**\n\nOur agents:\n\n1\\. Map your business processes\n\n2\\. Reengineer your operations around AI\n\n3\\. Deploy AI systems into production\n\n**Why we built this**\n\nWhen I was a consultant at McKinsey, it would take months of interviews just to understand how a company operates. Javier deployed enterprise AI as a founding engineer at Model ML (YC W24). Together we built flowscope to solve AI implementation.\n\n**Our ask**\n\nBook a demo at [flowscope.com](http://flowscope.com) or email us at [samuel@flowscope.com](mailto:samuel@flowscope.com). If you know CEOs/CFOs at mid-market enterprises or PE operating partners, we'd love an intro.",
        "url": "https://www.ycombinator.com/launches/VIF-flowscope-your-in-house-ai-process-consultant",
        "votes": 4,
        "created_at": "2026-10-07T01:44:43.327Z"
      },
      {
        "id": 101162,
        "title": "flowscope: agentic process mining and automation",
        "tagline": "flowscope is an AI-native consulting firm that uses agents to map and automate business processes",
        "body": "TLDR: _flowscope deploys agents that learn and document how your business actually runs: who touches what, where it stalls, what's pure repetition. Our agents redesign and automate these processes, shipping AI into production on your existing systems. In days, not months._\n\nLearn more at <https://flowscope.com>\n\nVideo Launch: <https://youtu.be/cRw55SdXirU>\n\n**The problem**\n\nThe hard part of enterprise AI isn't the models anymore, it's deploying them against the messy reality of how businesses actually run.\n\nEvery company has the same problem: invoices re-keyed between systems, approvals chased over email, the same spreadsheet rebuilt every week. The AI tools that could fix it are stuck in proofs of concept: integration is painful, your team doesn't have the bandwidth, and the consultants you hired left you with a deck and a bill.\n\n**What we're building**\n\nflowscope fixes this. Our agents sit on top of your existing tools and learn how your team actually works: who touches what, where things stall, what's pure repetition. Within days, you get a map of your processes, a redesign of how the work should flow, and the automation shipped into production. Not a deck. Not a pilot. Working software on the systems you already have.\n\n**About Us**\n\n**Javier Leguina:** 2x founder, Founding engineer Model ML (YC W24)\n\n**Samuel Mirpuri:** Quantum Black (AI by McKinsey), Platoon Commander Singapore Armed Forces\n\n**Asks**\n\n1\\. Intros to CFOs or COOs at mid-market or enterprise companies with manual finance, admin or ops processes.\n\n2\\. Intros to PE operating partners working on improving operational efficiencies at portfolio companies.\n\nLearn more at <https://flowscope.com>\n\n![uploaded image](/media/?type=post&id=101162&key=user_uploads/2941497/9832115c-cbd5-4602-8161-9a1349babc92)\n\n",
        "url": "https://www.ycombinator.com/launches/QJe-flowscope-agentic-process-mining-and-automation",
        "votes": 45,
        "created_at": "2026-05-11T07:19:56.910Z"
      }
    ]
  },
  {
    "id": 31540,
    "name": "KugelAudio",
    "slug": "kugelaudio",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/44c1f17a88c6716d09288318cb5f9de77b9bdbbb.png",
    "website": "https://kugelaudio.com/en",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Kugel is an enterprise-ready TTS model, available on-prem, with a focus on 30+ languages and low latency. ",
    "one_liner": "Kugel is an on-prem Voice AI model supporting 30+ languages ",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1777590592,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "Germany",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kugelaudio",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kugelaudio.json",
    "year_founded": 2025,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://de.linkedin.com/company/kugelaudio",
    "x_url": "https://x.com/KugelAudio",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/kugelaudio",
    "github_url": null,
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 2385896,
        "full_name": "Viktor Presber",
        "title": "Founder",
        "founder_bio": "Co-Founder of KugelAudio, building foundational Text-To-Speech models for customer support. Started founding ventures at 17 with a local video production company. Later co-founded full-house.io, scaling to $300K ARR in six months with enterprise clients like Siemens Energy, Hitachi Rail, and Barilla. Previously co-founded Sagemode, securing partnerships with two major esports teams. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/viktor-presber",
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      },
      {
        "user_id": 1625902,
        "full_name": "Kajo Kratzenstein",
        "title": "Founder/CTO",
        "founder_bio": "Founder at KugelAudio (YC P26). Previously CTO at Sagemode, scaling an in-game AI coach to 1,000+ users with deep League of Legends integration. Built production aneurysm detection model at Floy GmbH. MA and BSc in Computer Science from Hasso Plattner Institute.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kratzenstein",
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    ],
    "jobs": [
      {
        "id": 104355,
        "title": "Berlin · Part-time · On-site",
        "url": "https://www.ycombinator.com/companies/kugelaudio/jobs/WKo2Gk0-berlin-part-time-on-site",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 111590,
        "title": "Founding Sales (Outbound)",
        "url": "https://www.ycombinator.com/companies/kugelaudio/jobs/OujwnhC-founding-sales-outbound",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $120K",
        "equity_range": "0.01% - 0.35%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 102000,
        "title": "KugelAudio: A multilingual voice AI model you can run in your own cluster.",
        "tagline": "Human-like TTS for 30+ languages, on-prem and low latency",
        "body": "### TL;DR: KugelAudio is a multilingual voice AI model that generates natural speech in 30+ languages and can run fully on-prem in your own Kubernetes cluster.\n\n### <https://youtu.be/R4HqJ8Ai-z4>\n\n**Launch Day Special 🚀**\\\nBook a demo and mention our launch: we’ll give you **20% off.** \\\n\\\n\\\n**Problem**\n\nCurrent TTS models are English-first and cloud-hosted. Kugel speaks 30+ languages and dialects natively like Bavarian German, Northern Irish English, or Yemeni Arabic even on edge cases like email addresses, phone numbers, or product names. \\\n\\\n**Solution**\\\nDrop our model into your Kubernetes cluster and use voice AI on patient records, financial transactions, or internal customer data without sending anything to a third party.\n\n**A few more things**\n\n* **60ms latency.** One of the fastest TTS models on the market.\n* **IPA notation support** across 30+ languages.\n* **Voice cloning** from a few seconds of audio.\n\n### \n\n**Meet the team**\n\nWe’re a team of two from Germany and Poland.\n\n![uploaded image](/media/?type=post&id=102000&key=user_uploads/2385896/be66da7a-d0de-4690-91d1-1a368e5d0689)\n\nKajo spent the last 2 years researching TTS at Hasso-Plattner-Institut and built the model. Viktor runs commercial and brings the enterprise sales experience. We kept hearing the same thing from enterprise voice buyers: providers mispronounce their product names and their legal team won't sign the DPA anyway. So we built the thing they actually wanted.\\\n\\\n**🤝 Our Ask**\n\nIf you deal with mispronunciations or sensitive voice data:\n\n\\- Book a [demo](https://calendar.app.google/TESsGfQBZzABugb56)\\\n\\\n**Thank you! 🙏**\n\nKajo and Viktor",
        "url": "https://www.ycombinator.com/launches/QXA-kugelaudio-a-multilingual-voice-ai-model-you-can-run-in-your-own-cluster",
        "votes": 8,
        "created_at": "2026-05-27T06:47:39.124Z"
      }
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  },
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    "id": 31545,
    "name": "Modern",
    "slug": "modern",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2a391c24694c5a70f0448e5a56886ff59f5cdc.png",
    "website": "https://getmodern.ai",
    "all_locations": "Melbourne, VIC, Australia",
    "long_description": "Modern is the AI coworker that automates the full order-to-cash journey for global finance teams. ",
    "one_liner": "Modern automates the entire order-to-cash process for B2B companies.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1775918136,
    "tags": [
      "Finance",
      "B2B",
      "Enterprise",
      "Enterprise Software",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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        "full_name": "Seb Poole",
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        "founder_bio": "Building the AI-native ServiceNow.\n\nSerial founder, most recently Frankie now Unmind (Disney, Uber, Lendlease, the MLB as customers, 100m+ raised).",
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        "full_name": "Aleks Tomovski",
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      {
        "id": 101078,
        "title": "Modern: the AI-native IT function",
        "tagline": "Secure agents that automate help desk, access, on/off-boarding, hardware, security, and procurement in the channels your team already uses",
        "body": "**TL;DR:**[ Modern](https://getmodern.ai) is consolidating the IT function into a single platform powered by secure agents who understand your business. Help desk, access, hardware, on/off-boarding, security, procurement are automated end-to-end inside the channels your team already uses (Slack, Teams, Email, Voice, WhatsApp, Telegram).\n\nLaunch video:\\\n<https://youtu.be/iSOz7KXU8cY>\n\n**The problem**\n\nWe've spent over a decade buying and implementing clunky IT software (ServiceNow, Jira SM, Ivanti, Zendesk), staffing internal teams, and paying expensive MSPs to keep operations running. Seb previously co-founded Frankie/Unmind, Europe's leading digital mental health company (used by Disney, Uber, Lendlease, Standard Chartered, and the MLB). Aleks has been building developer platforms and scaling engineering teams at Wix and Canva, including Wix's first low-code platform.\n\nToday's ITSM platforms take months to implement, need weeks to design rigid automations, can't improve over time, and have always been hard to leave.\n\nSo we asked: what would this stack look like if it were AI-native from day one?\n\n\\\n**What is Modern**\n\nAn all-in-one secure IT function, Modern splits reasoning from actions which enables the unlock for secure AI in IT.\n\n* Requests are made in the tools where your team works → Slack, Teams, email, voice, WhatsApp, Telegram.\n* Agents reason about each ticket, and the actions they take are separate, code-based workflows derived from your SOPs, written in natural language, or installable skills you approve.\n* Every interaction feeds Modern to better understand your IT operations so automation coverage compounds over time.\n\nModern is for you if:\n\n* The Engineering or Operations teams are handling your IT requests\n* IT tickets pile up faster than your team can clear them\n* Access requests crawl through approval chains (manager → Finance → IT → resolved a week later)\n* On/off-boarding is manual, error-prone, and takes time\n* Compliance and audit prep means stitching logs together from a dozen disconnected tools\n* You’re concerned about security across your growing business\n* Hardware procurement and lifecycle still lives in spreadsheets\n* Your existing ITSM is rigid, expensive, and hasn't gotten smarter since the day you bought it\n* You're paying an MSP for repeatable work that should be automated and running 24/7\n\nWe currently see 80%+ automation across IT team requests.\n\n**If you're without an IT Team**\n\nWe'll get you set up, compliant, and running with a fully outsourced IT function. Book a time → <https://getmodern.ai>.\n\n**If you're without an IT Service Management platform**\n\nAlternatively we are a completely standalone ITSM platform and would love to help you automate your internal IT/Operational requests. Book a time → <https://getmodern.ai>.\n\n**If you're on ServiceNow, Jira SM, or any traditional ITSM/ESM**\n\nWe can sit on top of your existing ITSM/ESM platforms and automate 80%+ of the requests that come through these platforms. Live in a day. Book a time → <https://getmodern.ai>.\n\nConnect with us to follow the journey:\n\n* [https://www.linkedin.com/in/seb-poole](https://www.linkedin.com/in/seb-poole/)\n* [https://www.linkedin.com/in/atomovski](https://www.linkedin.com/in/atomovski/)\n\n**Modern in practice**\n\nModern lives inside the channels your team already uses\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/79e50fc8-c03c-4587-8840-881df31f9c7b)\n\nThey think about the tools and path to resolve the request:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/27a3b0aa-09c8-4230-a30a-76cc6cb4f99a)\n\nUsing secure deterministic workflows built via SOPs, natural language or suggested workflows derived from your data:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/e31e6190-aec5-4c69-b588-6ef6ff2de202)\n\nModern builds an understanding of your company’s decisions, actions, personnel and employee requests:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b39758ec-3c90-404f-8b4a-538d7c415e1d)\n\nAnd via this understanding and your company’s knowledge base, more suggestions for both simple and complex resolutions are made:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b8413f15-525f-4d34-9dfe-23f1b1eb4071)\n\n",
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        "created_at": "2026-05-12T01:01:57.187Z"
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    "name": "ReasonBlocks",
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        "title": "ReasonBlocks - Stop your AI agents from burning money re-learning what they already know.",
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        "body": "**TL;DR:** Most production agent failures are repeats: same loops, same dead ends, same wasted tokens. Your agent doesn't learn from any of them. ReasonBlocks is a new runtime that catches failures mid-run, compresses what doesn't matter, and builds a private reasoning library that grows with every run. Result: agents that get cheaper and more reliable the more they run.\n\n👋 We're [@Sajeev Magesh](https://bookface.ycombinator.com/user/2796290) (ex. Stanford) and [@Rohan Vij](https://bookface.ycombinator.com/user/3490183) (ex. CMU). We've been building together for 11 years (since 2nd grade!).\n\n**The Problem**\n\nProduction AI agents fail in patterns. The same loops, the same redundant tool calls, the same second-guessing, happening across every customer's deployment, every day. Your agent's traces have all the information needed to prevent recurrence. Almost no system captures it.\n\nThis means:\n\n* You're paying for the same failures repeatedly. Token bills grow without agents getting better.\n* Trajectories are inconsistent, your agent re-solves the same kind of task differently each time.\n* No compounding improvement: your 10,000th run is no smarter than your 1st.\n\n**What We Built**\n\nReasonBlocks sits in your agent runtime and does three things:\n\n1. **Catches failures mid-run.** Six monitors watch every agent call for loops, redundant work, and second-guessing. When one fires, a correction gets injected before tokens are wasted.\n2. **Compresses what doesn't matter.** Stale tool outputs and redundant context get cut from the message history automatically. Your context stays focused, your bill stays small.\n3. **Captures every lesson into a private reasoning library.** After each run, the system extracts what worked and adds it to your library. Patterns get matched and injected into future runs automatically. Your library is yours, built from your production data, growing every day.\n\nThis isn't just per-task memory. It's a runtime that turns every agent run into something the next run can use.\n\nIntegrate with one command. Works with any model, any framework.\n\n**Results**\n\nOn SWE-bench Pro (75 problems, Sonnet 4.6):\n\n* 42% accuracy gain\n* 52% token reduction with combined monitor + compression stack\n* 70% fewer budget cap-hits\n\n**Our Asks**\n\n1. **Try it out** — our platform and SDK are live at [reasonblocks.com](http://reasonblocks.com).\n2. **Intros welcome** — if you or anyone you know is building vertical AI agents (legal, finance, healthcare, security, research) running at scale, we'd love to chat.\n3. **Feedback** — we're early and learning fast. Tell us what's broken, what's missing, what you'd need to deploy this in production.\n\nDM either of us anytime!",
        "url": "https://www.ycombinator.com/launches/Q5O-reasonblocks-stop-your-ai-agents-from-burning-money-re-learning-what-they-already-know",
        "votes": 23,
        "created_at": "2026-04-27T15:28:48.179Z"
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    "long_description": "InstaCloud is the agent-native serverless cloud: deploy any code or service instantly, with automatic scaling and zero DevOps required.",
    "one_liner": "The agent-native serverless cloud",
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        "full_name": "Hang Huang",
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        "founder_bio": "Co-founder & CEO at InsForge (YC P26). Ex-Amazon PM, Yale MBA. Former professional League of Legends player.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hang-huang-oliver",
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        "full_name": "Tony Chang",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO at InsForge. Previously Software Engineer at Databricks(Networking Infra). \nInterned @ Meta(Ads ML Infra) & Amazon(Backend Infra) \n\nHackathon Addict :) 10x Wins + 9x judge",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tony-chang-0430/",
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      {
        "id": 101500,
        "title": "InsForge: The backend platform for AI-native developers",
        "tagline": "Let your coding agent deploy, operate, and debug your backend end-to-end",
        "body": "Hey YC! We’re [Hang Huang](https://linkedin.com/in/hang-huang-oliver) and [Tony Chang](https://www.linkedin.com/in/tony-chang-0430/) from [InsForge](https://insforge.dev/).\n\n**TL;DR:** InsForge lets your AI coding agent deploy and operate the full backend (servers, database, auth, storage, and more) from one consistent CLI. Instead of stitching together separate tools and dashboards, your agent manage entire backend infrastructure end-to-end.\n\n<https://youtu.be/7Bax5qz0IfM>\n\n**The Problem**\n\nThe way software gets built is changing fast. Coding agents are now the primary builders, but every backend platform today was designed for human developers, with dashboards, manual configs, and workflows that require a person at every step.\n\nWe tried MCP servers like Supabase, Vercel, GitHub, and Context7, but kept running into the same problems: tools bloated the context window, payloads came back at 10K+ tokens, and core backend state like telemetry, configs, logs, and runtime behavior still wasn’t accessible in a way agents could reliably use.\n\n**Our Solution**\n\nSo we built InsForge as one backend platform your coding agent can actually operate. Install our CLI and Skills with one command, and your coding agent can build, run, debug, and scale full-stack apps end to end on InsForge.\n\nEvery primitive returns structured outputs and readable errors the agent can act on. And because agents make mistakes, branching, scoped permissions, and reversible writes let you review or discard changes safely.\n\n**Where We're Going**\n\nWe believe that coding agents won’t stop at writing code. They’ll run your entire application and infrastructure autonomously as well. For that to work, backend infrastructure needs to become agent-native: CLI-first, observable, permissioned, reversible, and designed around agents as operators.\n\n**About Us**\n\n![uploaded image](/media/?type=post&id=101500&key=user_uploads/967495/90d7cdcf-0682-408c-bf3c-c5f192edf89b)\n\n* **Hang (CEO)** — ex-Amazon PM, previously professional League of Legends player.\n* **Tony (CTO)** — ex-Databricks network infrastructure engineer.\n\n**Our Ask**\n\n1. **Try it and break it**: [**insforge.dev**](http://insforge.dev). If you found there’s anything missing or you think some features are poorly designed, let us know! We read every piece of feedback. We’re also open source, here’s our [**GitHub repo**](https://github.com/InsForge/InsForge).\n2. **Design partners**: if you want your coding agent to handle everything, and believe that’s the future, drop a comment or email [**founders@insforge.dev**](mailto:hang.huang@insforge.dev). We'll get you set up directly.\n3. **Intros:** we're a day-0 infra company, so we need to find top developers before they get locked in elsewhere. If you know any developers or founders just / about to get started, we’d love an intro!",
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        "created_at": "2026-05-18T15:39:09.065Z"
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        "full_name": "Shalin Shah",
        "title": "Founder/CEO",
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      {
        "user_id": 2784940,
        "full_name": "Kanyes Thaker",
        "title": "Founder/President",
        "founder_bio": "cofounder & president @ Hyper. prev autonomy lead @ Matic Robots. IC to team lead in < 1 month, shipped Matic's #1 most requested feature. prev youngest FDE at Snorkel AI, closed 7-figure renewals at Snorkel's #1 (top 5 US bank) and #2 (top 10 P&C Insurer) largest customers.\n\ncs + math @ Berkeley '21. Led Cal's largest CS RSO (120+ active members) & organized TechFair (largest student maker showcase in CA). Quant finance @ Goldman Sachs, Point72.",
        "is_active": true,
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        "id": 101226,
        "title": "Hyper: 🏎️ The Self-Driving Company Brain",
        "tagline": "Hyper learns your whole company to supercharge your AIs",
        "body": "### TL;DR\n\n**⚡ Hyper learns your entire company and puts it back into every AI you use. ⚡**\n\nIn just a few clicks, Hyper silently reads everything in your company, keeps it up-to-date and conflict-free in real-time, and then plugs back directly into the AI tools you already love. Hyper makes every AI workflow immediately smarter with zero effort.\n\n### Asks\n\nTell us how you’re keeping your AIs on the same page as you. Markdown files in Git? GBrain? Manual pipelines? We’ll set you up on Hyper in &lt;20 minutes and supercharge your company so you’ll never have to correct your agents again.\n\n[Book a demo](https://heyhyper.cal.com/founders)\\\n[Interact with us on X](https://x.com/ycombinator/status/2053882832208929262?s=20)\\\n[Check us out on Linkedin](https://www.linkedin.com/posts/y-combinator_hyper-is-building-the-self-driving-company-activity-7459648541150314496-6e5c)[ ](https://x.com/ycombinator/status/2053882832208929262?s=20)\\\n\\\nLaunch video: <https://youtube.com/shorts/6XySjjG9KNA?si=zb2bP4_0sqMfYz62>\n\n# Your AI doesn’t even know\n\nYou’re automating the boring work with agents so you can build more, faster. BUT:\n\n* Agents forget your customers + your relationships\n* Agents ignore know your taste, and code smelly, ugly features\n* Agents can’t remember your pivots, and act on stale data\n* Agents keep making the same mistakes over and over, no matter how many times you yell at them.\n\nSo you’ve tried some insane manual hacks:\n\n* You paste dumps of the same context into every new chat.\n* You write obvious skills for something that it should just \"know\".\n* You commit markdown files in your codebase so everyone's AI is on the same page.\n* You hack an off-the-shelf memory libraries to fit your unique story\n\n…before you know it, you have a huge mess of broken agents, and no amount of pasting, screenshotting, or committing gives your AI the complete, living picture of your company.\n\n# ENTER: HYPER\n\n**Hyper fixes all of this without you having to do anything.**\n\n1. Hyper quietly pulls out important info from every document, calendar invite, email, Slack, GitHub pull request, conversation, and more.\n\n   ![uploaded image](/media/?type=post&id=101226&key=user_uploads/2784940/2474cd22-beeb-4525-bc19-bd546bd3a91e)\n\n2. As you work, Hyper’s agents combine, synthesize, clean up, and deduplicate all of it into an up-to-date perfect picture of your company.\n\n   ![uploaded image](/media/?type=post&id=101226&key=user_uploads/2784940/d727c84a-929b-44a9-b1de-283717b3f134)\n\n3. Hyper quietly plugs into every AI tool you use and system you build, silently feeding back useful information without any ugly tool calls, interface spam, or distractions.\n\n   ![uploaded image](/media/?type=post&id=101226&key=user_uploads/2784940/e019494b-f3a9-4d81-8ff9-14b16168aa63)\n\n\nNow your AI knows: _Who did we talk to last week? What customer is facing this bug? How much revenue do we need before next week’s meeting?_\n\nBut it also knows: _What’s our design philosophy? What sales strategy seems to work best with mid-level execs? What feedback isn’t worth paying attention to right now?_\n\nHyper builds this brain across your whole company — so the next time your agents get to work, they _just know_. And the next time your teammates sit down to work, _they just know too._\n\n# A Bit About Us\n\n**Kanyes** helped secure multi-million dollar deals at Snorkel AI and wrote motion algorithms at Matic Robots. He ran a streetwear arbitrage operation out of his sophomore year apartment. **Shalin** was one of Matic’s most prolific designers and engineers, built an app for the blind in high school with &gt; 3 million users, and has been [building products](https://www.businessinsider.com/14-year-old-works-11-hours-a-day-at-an-iphone-app-startup-and-concludes-it-was-like-heaven-2013-10) for the last 15 years. He interned at MakeSchool (W12) in 2013 and [Wit.ai](http://Wit.ai) (W14) in 2014 when he was in middle school.\\\n\\\nThey’ve been best friends since their first day at Cal, and have built dozens of projects between them — tools for researchers to virtual worlds to campus assistants to meme apps. They were roommates and coworkers at Matic Robots in Mountain View, where they helped lead the team. Shalin will never let Kanyes forget that he scored 10 points higher than him on the SAT.\n\n![uploaded image](/media/?type=post&id=101226&key=user_uploads/2784940/dd981a9a-c069-465d-9f3c-9dda17cc2e99)\n\n",
        "url": "https://www.ycombinator.com/launches/QKg-hyper-the-self-driving-company-brain",
        "votes": 56,
        "created_at": "2026-05-12T00:35:12.120Z"
      }
    ]
  },
  {
    "id": 31549,
    "name": "Enjamb Labs",
    "slug": "enjamb-labs",
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      "Enjamb Labs Inc",
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    "website": "https://www.enjamb.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We've worked with 130 life science companies, preclinical through phase 3, to deploy AI securely inside the systems they already work in.\r\n\r\nPharma runs on decades of closed software like Benchling, Veeva, Medidata, and SAS. None of it has an AI layer or speaks MCP, so agents cannot reach the systems where the work lives.\r\n\r\nEnjamb is that layer. Our agents run on top of existing systems and data, with no migration, and they reach the lab systems and internal tools no other AI touches. They learn how a team works, then do the work in Slack, in Teams, and in the systems themselves, across preclinical research, clinical evidence, trial design, statistical programming, and regulatory submissions.\r\n\r\nThis is AI tailored for how medicine gets made.",
    "one_liner": "The AI Workforce for Biopharma",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1779929226,
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      "Automation",
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    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/enjamb-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/enjamb-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/enjamb/",
    "x_url": "https://x.com/enjamblabs",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 3164441,
        "full_name": "Rayan Mubarak",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Enjamb. I'm an ML and biology researcher. At 17, I published a first-author cancer ML paper in JMIR that beat SOTA models by 20%. Previously, I researched drug therapeutics for pesticide poisoning (30% more effective) and presented at top bio conferences (SOT, ISCB).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rayanmubarak/",
        "x_url": "https://x.com/rayannmubarak",
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      },
      {
        "user_id": 3208056,
        "full_name": "Maadhav Deekshitha",
        "title": "Founder/CTO",
        "founder_bio": "Maadhav is an AI researcher. He was the youngest engineer at Dell's AI Lab, shipping AI CPU optimization on supercomputing infra,. He also worked at Broadcom R&D developing SOTA AI ASICs. For fun, he built a Rocket League AI trained on 1M+ sessions that beats the top 1% of players.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maadhav-deekshitha-0921b4243/",
        "x_url": "https://x.com/MaadhavD2",
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      {
        "id": 102105,
        "title": "Enjamb - The AI Workforce for Biopharma",
        "tagline": "Enjamb runs the entire drug program for biopharma teams, from discovery to FDA approval.",
        "body": "Hey YC 👋\\\n\\\nWe’re Rayan and Maadhav, and today we’re excited to launch [Enjamb Labs](https://www.enjamb.ai/).\n\n<https://youtu.be/5DwdtiLvViM>\\\n\\\n**TL;DR**\n\nEnjamb runs the entire drug program for biopharma teams, from discovery to FDA approval. \\\n\\\nPharma runs on decades of closed legacy systems like Benchling, Veeva, Medidata, and SAS, with no AI layer and no MCP to connect agents to them. So we built that connection layer. \\\n\\\nOur agents run on top of their existing systems and data, with no migration, and do the work across the whole program: clinical evidence, trial design, statistical programming, and regulatory submissions.\\\n\\\nIn just 3 weeks since launch, we're already being used by 500+ employees at top pharma companies, including Johnson &amp; Johnson, AbbVie, Bristol Myers Squibb, Merck &amp; Sanofi.\n\n**The Problem: Pharma’s systems have no AI layer**\n\nIt costs $2.6 billion and 10+ years to ship a single drug, and most of that isn't the science. It's the work around it, spread across decades of closed legacy systems that don't talk to each other:\n\n* Benchling stores the data\n* Veeva holds the documents\n* Medidata runs the trials\n* SAS does the stats\n\nAgents are **_finally_**  good enough to do real scientific work. But there's no AI layer on these systems, and no MCP to plug an agent into where pharma's data and work actually live.\n\n**So, we built that connection layer we wished existed.**\\\n\\\n**What We Offer: Agents that run on top of pharma’s existing systems**\n\nEnjamb invented the fastest way to run a drug program: a single agentic workspace that unifies the evidence, analysis, and regulatory work.\n\nOur agents:\n\n* Synthesize up-to-date clinical evidence from the literature and real-world data to pinpoint the right endpoints and patient populations\n* Design trials and run the statistical programming behind them, including SDTM, ADaM, TFLs, and QC\n* Draft and audit regulatory documents like INDs, protocols, SAPs, and NDAs\n\n— all in one auditable workspace, with the context carried end to end.\\\n\\\n**The results:** Enjamb generates an FDA submission package in **48 hours** instead of 8 months, with **23x fewer errors** than GPT-5.5. And **98%** of the datasets it produces pass Pinnacle 21, the FDA's standard, on the first pass, before a human even reviews.\\\n\\\n**And it all runs in the browser**: full Word, Excel, and PowerPoint editors, a Python and R compute environment, 100+ scientific integrations, and 50+ fine-tuned models for in-silico validation. No setup.\n\n\\\n**Our Story: Two Researchers Who Lived the Problem**\n\nWe're **Rayan** (ML/Bio researcher, first-author paper @ JMIR, presented @ SOT and ISCB, beat SOTA by 20%) and **Maadhav** (ex-Dell AI Lab, ex-Broadcom R&amp;D).\\\n\\\nWe kept hitting the same wall in research: the science was the easy part. Everything around it, the evidence, the analysis, the documents, was fragmented, manual, and disconnected, and the context died at every handoff.\\\n\\\nSo we built what we always wanted: one workspace where agents carry the context across the entire drug program.\n\n**If no one's going to build it right, we will.**\\\n\\\n**Get Started**\n\n* See Enjamb at [enjamb.ai](http://enjamb.ai)\n* Or reach us at [rayan@enjamb.ai](mailto:rayan@enjamb.ai) for a demo\n\n![uploaded image](/media/?type=post&id=102105&key=user_uploads/3164441/9839d8af-27a3-4fd0-b6af-c82405bc817f)\n\n",
        "url": "https://www.ycombinator.com/launches/QYr-enjamb-the-ai-workforce-for-biopharma",
        "votes": 20,
        "created_at": "2026-05-28T18:48:05.818Z"
      }
    ]
  },
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    "id": 31554,
    "name": "Clawvisor",
    "slug": "clawvisor",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b7343f0662dc74045154f30ca2872d79b80c650.png",
    "website": "https://clawvisor.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Clawvisor lets AI agents use apps like Gmail, Slack, and Google Drive without going rogue or ever seeing your credentials. You approve tasks once. Clawvisor enforces them on every request.",
    "one_liner": "The Authorization Layer for AI Agents",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1778081648,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/clawvisor",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/clawvisor.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "https://x.com/clawvisor",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 18959,
        "full_name": "Eric Levine",
        "title": "Founder",
        "founder_bio": "Founder of Clawvisor (P26). Previously: co-founder at Berbix (S18), acquired in 2023 by Socure; Trust & Safety engineering at Airbnb; Visiting Group Partner at Y Combinator.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/levineericj/",
        "x_url": "https://x.com/ericlevine",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2082522a9ca705ce9879c4f4ac9d76ce7f37d0a4.jpg"
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      {
        "id": 100899,
        "title": "Clawvisor — The Authorization Layer for AI Agents",
        "tagline": "Give agents access without giving them the keys.",
        "body": "TL;DR: Clawvisor lets AI agents use apps like Gmail, Slack, and Google Drive without going rogue or ever seeing your credentials. You approve tasks once. Clawvisor enforces them on every request.\n\n[_Launch video_](https://www.youtube.com/watch?v=2UWv557dg6M)\n\nWe're at the start of something on the scale of the industrial revolution. Agents will draft our emails, run our reports, manage our calendars, ship our code. A single person with a capable agent can get done in an afternoon what used to take a team a week. The leverage is almost unlimited.\n\nBut outside of coding agents, few people are actually using them, at least not for anything that matters. We’ve seen what can go wrong. Mass-deleted inboxes, dropped production databases, sent emails that can't be undone. It's what happens when a long-running agent's instructions drift and it starts going rogue with hallucinated goals. The blast radius is whatever permissions you gave it, and granting access to \"delete emails\" covers both cleaning up spam and wiping your entire inbox. If you work in a regulated industry, at a security-conscious company, or you’re paying attention, agents are off the table.\n\nWe need a way to bring agents to the world safely. Something that lets you point one at your actual inbox, your actual calendar, your actual codebase, and trust it to do the work without trusting it with the keys. The capability is already here. We just have to make it safe to use.\n\nThat’s why I built Clawvisor.\n\n**The Problem**\n\n* OAuth scopes are too coarse for nondeterministic agents. \"Read access\" means both \"triage recently received emails\" and \"exfiltrate an archive of the whole inbox\".\n* Approving every action causes fatigue. You stop reading and start blindly clicking “approve”.\n* Credentials end up everywhere. API keys scattered across .env files, config directories, messaging apps.\n* Today’s default approach is basically YOLO.\n\n**The Solution**\n\nClawvisor sits between your agent and your data. You ask your agent to do work. Your agent declares a task. You approve it once. Clawvisor enforces it on every request.\n\n* No credential exposure. Keys stay in a vault. The agent never sees them.\n* Real-time policy enforcement. Requests that don’t match the task get blocked.\n* Context-aware guardrails. Agents can only act on data they actually retrieved.\n* Full audit trail. Every action and decision is logged.\n\nFor example, if you approve an agent to “check today’s calendar” and it tries to pull 5 years of events? Blocked.\n\nApprovals happen per task, not per action, so you avoid fatigue. Each task is also scored for risk, so you know when to pay extra attention.\n\nIt’s agent-agnostic by design. If your agent can talk HTTP, it can use Clawvisor. OpenClaw, Claude Code, Claude Cowork, Hermes, Perplexity Computer are all supported. BYOA.\n\n[_Demo video_](https://youtu.be/83oP_vOmpBk)\n\n**The Team**\n\nPreviously I cofounded Berbix (S18, acquired for $70M in 2023) building best-in-class identity verification. Prior to that, I led the Airbnb Trust & Safety engineering team building systems and tools to catch bad actors before they could cause damage.\n\n**The Ask**\n\nIf you’ve avoided giving agents access to real data, this is why Clawvisor exists. Try it today.\n\n* Get up-and-running in minutes: <https://clawvisor.com>\n* Self-host or read the source: <https://github.com/clawvisor/clawvisor>\n\n![uploaded image](/media/?type=post&id=100899&key=user_uploads/18959/0c865792-dbf3-48de-a32f-5f975df88ba7)\n\n",
        "url": "https://www.ycombinator.com/launches/QFP-clawvisor-the-authorization-layer-for-ai-agents",
        "votes": 13,
        "created_at": "2026-05-07T14:14:25.350Z"
      }
    ]
  },
  {
    "id": 31555,
    "name": "rekursiv.ai",
    "slug": "rekursivai",
    "former_names": [
      "rekursiv"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8606b08cc0428757361006dc3171d7b460ae47e.png",
    "website": "https://rekursiv.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're scaling self-improving AI scientist teams to ideate/experiment/discover, generating new knowledge autonomously. Their discoveries reduced ARC-1/2 costs by 10,000× while maintaining state-of-the-art accuracy and yielded material advances on combinatorial ML problems.\r\n\r\nWe believe that AI is bounded not by compute, but ideas. Scaling to millions of sessions of discovery enables leveraging its own discoveries and presents a novel training source capable of ushering a new era of self-reliant foundational models.",
    "one_liner": "Scale AI scientists whose own breakthroughs accelerate the next.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1784428991,
    "tags": [
      "Deep Learning",
      "Machine Learning",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "AI research is bottlenecked by humans. Every advance in ML still runs through a small number of researchers who can only devise and test ideas so fast. Experiments take days, most fail, and the field's progress is gated by how quickly a limited pool of experts can iterate.\r\n\r\nWe think this is the single biggest lever on the future of AI. Our thesis is that AI progress isn't bounded by compute or data, but it's bounded by the rate at which good ideas get devised and tested. Compute keeps scaling, but the human idea-generation loop doesn't. If you could automate the loop itself: hypothesize, experiment, learn, and repeat, then you could compound discoveries far faster than any human team.\r\n\r\nWe decided to work on it because we've lived the bottleneck. Between us we spent \\~30 years doing ML research at Google, DeepMind, and Luma AI. We kept hitting the same wall: the hard part was never running the code, it was the slow, serial process of engineering the training loops to inform what to try next.\r\n\r\nWhen we built a system that could run that loop autonomously, we found we could shorten the gap between having an idea and knowing whether it was a good one. This has allowed us to explore many exciting ideas that we would have otherwise not tried because it was too time-consuming for us. The results convinced us a self-improvement loop now possible, and that we're the ones to build it."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Long-term, we're building autonomous AI scientists and scaling them from one to millions: a fleet running the scientific method in parallel, each discovery accelerating the next.\r\n\r\nAnd this process will start to compound. Each new method our scientists invent makes the next round of research faster and cheaper, a self-improving loop where discovery accelerates discovery. Concretely, that means a world where breakthroughs that would have taken a field a decade happen in months, where the cost of pushing the frontier drops by orders of magnitude, and where a small team can direct the research output of an entire institution. We start with ML research because it's the loop closest to us and the one that speeds up all the others: an AI scientist that improves AI compounds fastest of all."
      }
    ],
    "url": "https://www.ycombinator.com/companies/rekursivai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rekursivai.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rekursiv-ai/",
    "x_url": "https://x.com/hyperparticle",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 3527624,
        "full_name": "Joshua Dillon",
        "title": "Founder",
        "founder_bio": "Ex-Google, Ex-Deepmind, Ex-LumaAI staff research scientist for a combined total of 14 years. Led foundational model pre-training at Luma AI. Creator of TensorFlow Probability (1M+ downloads / month), built Veo's first prototype, contributor to Gemini and VideoPoet (ICML 2024 Best Paper). 11,600+ citations.\n\nNow co-founder of rekursiv.ai, automating the science of ML research.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jvdillon/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a33102fd458800ada457193e9d61bd8e1fadc988.jpg"
      },
      {
        "user_id": 3527564,
        "full_name": "Dan Kondratyuk",
        "title": "Founder",
        "founder_bio": "Ex-Google, Ex-LumaAI scientist for a combined total of 7 years. First author of VideoPoet (ICML 2024 Best Paper), led the World Models team at Luma, and built large-scale multimodal LLMs and diffusion models for image, video, audio, and text.\n\nNow co-founder of rekursiv.ai, automating the science of ML research.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dankondratyuk/",
        "x_url": "https://x.com/hyperparticle",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d45c58f9c92bb89b4f492a735fdc90392813af11.jpg"
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      {
        "id": 106821,
        "title": "rekursiv.ai: AI scientists that invent new knowledge",
        "tagline": "Scale AI scientists whose own breakthroughs accelerate the next.",
        "body": "Hey YC! We're [Josh](https://rekursiv.ai/josh) and [Dan](https://rekursiv.ai/dan), co-founders of [rekursiv.ai](http://rekursiv.ai) 🧪.\n\n[rekursiv.ai](http://rekursiv.ai) builds fleets of **AI scientists** that do ML research on their own: they come up with ideas, run thousands of experiments in parallel, learn from the results, and accelerate their own discoveries. In a few days of self-directed research, they invented ideas and algorithms that **matched state-of-the-art accuracy on ARC-AGI of frontier LLMs at up to 10,000× lower cost**, and became the first system to hit **100% on Sudoku** with a neural network trained only on input-output pairs.\n\n![uploaded image](/media/?type=post&id=106821&key=user_uploads/3527564/0444a495-03fa-4f41-9762-ba134521b2f4)\n\n**Why this matters.**\n\nAI research is bottlenecked by humans. Every advance still runs through a small number of researchers who can only devise and test ideas so fast. Compute keeps scaling; the human idea-generation loop doesn't. We believe **AI progress isn't bounded by compute, it's bounded by the rate at which good ideas get tried and tested**. So instead of scaling one model, we built a system that generates and tests ideas on its own.\n\n**It already works.**\n\nIn a few days of self-directed research, our AI scientists set a groundbreaking records on hard benchmarks.\n\n* On **ARC-AGI** (easy for humans, hard for AI), our AI scientists matched top frontier LLM models at up to **10,000× lower cost**.\n* On **Sudoku**, they achieved 100% accuracy by running hundreds of experiments over a few days, wrote 100k+ lines of their own code, and invented a new inference method (_Hypothesis-Pinning Search_).\n* Every gain came from ideas and algorithms **the system invented itself**. It even debugged its own training bugs and abandoned its own ideas that led to dead ends.\n\nFull write-ups: [ARC-AGI](https://rekursiv.ai/blog/pushing-limits-arc-agi/) · [Sudoku](https://rekursiv.ai/blog/100-percent-accuracy-on-sudoku/)\n\n![uploaded image](/media/?type=post&id=106821&key=user_uploads/3527564/676b13b6-cc1b-4545-8d14-cc7ae1e9b5a5)\n\n**Who we are.**\n\nWe're two ML researchers with 21 years of combined experience at **Google DeepMind and Luma AI**. We spent our careers building frontier generative models. Now we're pointing that experience at a harder problem: AI that discovers on its own.\n\n* **Josh Dillon** — Staff Research Scientist at **Google Research &amp; DeepMind for 13 years**, then led foundational-model pre-training at **Luma AI**. Created **TensorFlow Probability** (\\~1M downloads/month).\n* **Dan Kondratyuk** — First author of **VideoPoet (ICML 2024 Best Paper)**. Co-developed the models powering **Luma's Dream Machine** and led Luma's realtime World Models team. Previously 5 years at **Google Research**.\n\n**What's next.**\n\nWe're pointing the system at harder, more varied challenges and building a platform to share results in real time. The bottleneck now is experiment scale: the more experiments we run, the more discoveries the our AI teams can make. We plan to scale from a few AI scientists to millions, each discovery accelerating the next, until the rate of scientific progress is no longer limited by the number of human researchers.\n\n**Asks.**\n\n* **Got a hard problem or benchmark?** If you have a benchmark or research problem you'd love an autonomous team of scientists to attack, we want to hear it. Email [contact@rekursiv.ai](mailto:contact@rekursiv.ai).\n* **Researchers &amp; engineers:** We're hiring **Founding Scientists** and **Engineers** (Bay Area or remote). If you love running thousands of experiments and figuring out what the results mean, reach out at [hiring@rekursiv.ai](mailto:hiring@rekursiv.ai)\n* **Just want to nerd out about autonomous science?** Drop us a line, always happy to chat.\n\n— Josh &amp; Dan, [rekursiv.ai](http://rekursiv.ai)",
        "url": "https://www.ycombinator.com/launches/Rmv-rekursiv-ai-ai-scientists-that-invent-new-knowledge",
        "votes": 7,
        "created_at": "2026-07-22T14:06:11.738Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "The next billion software users are AI agents, yet agents still can't act on their own: every paid tool they need runs through a human making accounts, managing API keys, and guessing which provider is best. We are the capability marketplace built for agents: one MCP and one balance through which agents find, pay for, and use APIs, data, skills, other agents, and software at runtime, with every request routed to the best provider based on benchmarks from real tasks and outcome feedback from the agents themselves.",
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    "team_size": 2,
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    "subindustry": "B2B -> Engineering, Product and Design",
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      "name": "Jared Friedman",
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        "full_name": "Dylan Kelly",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Amorphic Labs. CS @ Georgia Tech, prev. Quant Trading intern @ UBS. World Schools Debating Championship 2022 finalist & 8th best speaker, 2x National Team Debater, co-author of NeurIPS paper.",
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      {
        "user_id": 2599670,
        "full_name": "Frank Li",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO @ Amorphic Labs. Prev. Member of Technical Staff & Project Lead @ OpenAI, Auto-vehicle ML infra @ NVIDIA, Quant Dev @ Two Sigma, and Amazon. First open-source contribution at 15. CS @ UW Seattle.",
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      {
        "id": 112178,
        "title": "Agentmuxer by Amorphic Labs - OpenRouter for Agent Capabilities",
        "tagline": "One MCP and one wallet for agents to find, pay for, and use the best tools for any task",
        "body": "**tl;dr: OpenRouter became the router for model spend; we're building that layer for agent capabilities, starting with paid tools: web search, scraping, extraction, enrichment, and more from top providers in each category. No provider accounts or API keys, one balance, pay per use. We benchmark every provider on real tasks and route each request to the one that performs best, with fallbacks when a provider fails. We're looking for early users to try it out with free credits, email us at [founders@amorphiclabs.com](mailto:founders@amorphiclabs.com) if you want to check it out!**\n\n**Launch Video:**\n\n<https://youtu.be/-dxc8ZAUfFc>\n\n**The problem:**\n\nAgents can only use the tools a human wired up in advance, and they won't tell you what they're missing: they quietly make do, failing at anything they weren't hand-equipped for. Even when you do the wiring, you're picking blind: nobody actually knows which search API is better for this query, or which scraper will survive this site. The \"best setup\" frontier moves daily, so keeping up means hours of trawling MCP directories, X threads, and blog posts. Agents stay only as capable as their setup, and the more autonomous they get, the more that ceiling costs.\n\n**What we do:**\n\nYour agent asks for what it needs (\"structured data from this page\", \"research this with citations\"). We route the request to the best provider for that specific task, based on benchmarks on real tasks and outcome feedback from the agents using them: success rates, result quality, latency, and cost. If a provider fails, we cascade to the next, so your agent gets a result instead of an error. Every request makes the routing smarter. One balance pays for all of it, and it's the same MCP whether it's your own coding agent or agents you're shipping in a product.\n\nAPIs are just the start. The same marketplace will let agents acquire skills, hire other agents for specialized tasks, and sign up for software directly through MCPs, all from one balance.\n\n**Our team:**\n\nWe're Frank and Dylan, friends of 10 years who have been building together since middle school. Frank was a Member of Technical Staff at OpenAI and interned at Two Sigma, NVIDIA, and Amazon. Dylan was a quant trading intern at UBS, co-authored a NeurIPS paper, and was a grand finalist and 8th-best speaker in the world at WSDC 2022. We built this because we kept hitting the problem ourselves: agents stuck mid-task waiting for us to make accounts and guess at providers.\n\n**Our ask:**\n\n1. Want to be an early user? Email us at [founders@amorphiclabs.com](mailto:founders@amorphiclabs.com) and we'll onboard you with free credits.\n2. If you sell an API, dataset, or agent-facing service and want agents as customers, we'd love to talk about listing you. Email us at [founders@amorphiclabs.com](mailto:founders@amorphiclabs.com)\n3. If you want more information or want to join the waitlist, check out [agentmuxer.com](http://agentmuxer.com)\n\n_Make something agents want!_",
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        "votes": 13,
        "created_at": "2026-08-25T19:30:05.588Z"
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      {
        "id": 108806,
        "title": "Amorphic Labs - Agentic, Personalized Product Demo Videos for Sales",
        "tagline": "AI agents that create personalized demos at scale for outbound, inbound, and call follow-ups without your team recording a thing.",
        "body": "**tl;dr: We build AI agents that create personalized product demo videos for outbound, inbound qualification, and post-call follow-ups. Just give us a demo account for your app and a list of prospects, and our agent researches each prospect, uses its own computer to record a tailored workflow in your app with seeded personalized data, then edits and narrates the video so it is ready to send as a link to each prospect.**\n\n**Launch Video:**\n\n<https://youtu.be/uq9LyHYYyOU>\n\n**Our Ask:**\n\n* If you’re a founder or part of a startup that sells software, we can help you give every prospect a tailored product experience while saving your team hours of recording time. Book a demo at [amorphiclabs.com](http://amorphiclabs.com)!\n* If you know any sales or RevOps leaders, we would love introductions or referrals to them.\n\n**The Problem:**\n\nRecording a personalized product demo is one of the clearest ways to communicate your value and show someone how your product solves their problems, but preparing a demo environment, seeding data, and recording a high-quality video for every prospect takes too long. As a result, teams skip personalized demos in situations where they could be highly effective, such as outbound, and spend hours every week creating them for inbound requests and post-call follow-ups. This means teams miss opportunities to show prospects exactly how their product fits their needs, while wasting hours that could have been spent talking to and selling to prospects.\n\n**The Solution:**\n\nWe use AI agents to create personalized product demo videos at scale, bringing tailored demos to parts of the sales process where they were previously too time-consuming to produce. All you need to provide is a demo account for your app and a list of prospects.\n\nOur agent then:\n\n* Learns and interacts with your app on its own computer like a real sales engineer.\n* Researches each prospect to determine which workflow and data best fit their needs.\n* Seeds personalized data in your app.\n* Records itself completing the relevant workflow.\n* Edits the video to remove long waits and adds effects such as zooms.\n* Narrates the video with a script tailored to the prospect.\n* Gives you a finished video link ready to send.\n\nYou remain fully in control of how the videos are created: you can clone your own voice, define the workflows the agent can choose from, control the narration style and how each video begins and ends, and regenerate videos by giving the agent feedback.\n\n**Sample video our agent generated:**\n\n<https://youtu.be/QONd3u3NoGo>\n\n**Where you can use it:**\n\nTailored Outbound: You can import a list of leads you want to reach out to and ask our agent to create personalized demos for each one, showing prospects exactly how your product fits their needs through data, workflows, and narration tailored directly to them.\n\nQualifying Inbound: Add a request-a-demo form to your landing page so prospects who are not yet convinced enough to spend 30 minutes on a discovery call can spend 20 seconds requesting a personalized demo video and receive an email showing exactly how your product solves their problems.\n\nCall Follow-ups: After understanding a prospect’s key use cases and pain points during a discovery call, you can create multiple personalized demo videos showing how you address their needs. You can even create additional videos tailored to different stakeholders that your champion can use to sell your product internally.\n\nWe are initially focused on sales, but the same technology can also create walkthrough videos for onboarding, customer support, and documentation.\n\n**Our team:**\n\nWe have been best friends for close to a decade, have competed together in competitions spanning math, debate, pitching, business, and hackathons, built countless projects, and are now building Amorphic Labs together.\n\nFrank worked as a software engineer for three years while graduating from UW. He was a Member of Technical Staff at OpenAI and previously interned at Two Sigma, NVIDIA, and Amazon.\n\nDylan was a quantitative trading intern at UBS and recently graduated from Georgia Tech. He represented Team China twice at WSDC, was a grand finalist and the eighth-best speaker in the world in 2022, and co-authored a paper published at NeurIPS.\n\n**If you sell software and want to see what our agent could create for one of your prospects, book a demo at [amorphiclabs.com](http://amorphiclabs.com).**",
        "url": "https://www.ycombinator.com/launches/SIw-amorphic-labs-agentic-personalized-product-demo-videos-for-sales",
        "votes": 33,
        "created_at": "2026-08-03T21:11:17.469Z"
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    "name": "Maquoketa Research",
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    "year_founded": 2025,
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        "full_name": "Evan Yeager",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO at Maquoketa Research",
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        "user_id": 3388911,
        "full_name": "David Muchow",
        "title": "Founder/COO",
        "founder_bio": "Co-founder and Chief Operations Officer @ Maquoketa Research.\nMy resume confuses recruiters.",
        "is_active": true,
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        "full_name": "Aidan Williams",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO @ Maquoketa Research",
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        "linkedin_url": "https://www.linkedin.com/in/aidan-williams-055ba626b/",
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      {
        "id": 102393,
        "title": "Maquoketa Research: Guidance systems for one-way attack drones",
        "tagline": "The drone intelligence layer",
        "body": "<https://www.youtube.com/watch?v=uI5-M8w8UEs>\n\n**More than 70% of combat casualties now come from drones.** They have proven to be the most cost-effective tool of modern warfare, and the Department of War plans to buy over 1 million of them in the next 2-3 years. So what’s the problem? **Less than 25% of drones successfully strike their target.** \n\nIt takes months to years of training for military operators to perfect the flight maneuvers needed to use FPV drones effectively. And even highly skilled operators remain vulnerable to electronic warfare, GPS denial, and adverse weather conditions.\n\nBut what if it wasn’t so hard? What if someone who had never flown a drone before could pick one up and hit a moving target with expert-level accuracy, even under jammed conditions?\n\n**Our Solution:**\n\nWe build platform-agnostic terminal guidance modules for one-way attack drones. Our guidance system has been shown to increase successful strike rates from under 25% to **upwards of 80%**. At the core of the system is a custom object tracking algorithm that maintains target lock under adverse conditions and can re-acquire a target lock even after 5 seconds of target occlusion, all while running on hardware costing under $200. Because inference happens onboard, the drone can continue tracking and engaging targets even after link degradation or jamming.\n\nCurrent approaches usually fall into two categories. The first approach is to make bespoke drones that include custom target detection and terminal guidance systems, but these drones cost upwards of $40k a unit. Existing modular compute solutions that allow for running target tracking models and terminal guidance algorithms can require a complete redesign of the drone, often don’t have their own dedicated camera or radio, and typically cost nearly the same price as the drone itself.\n\n![uploaded image](/media/?type=post&id=102393&key=user_uploads/2184565/c1cd3c2e-ddb1-4287-85ba-0407ff915ab1)\n\nOur solution fixes the problems with both traditional approaches. Our system integrates with existing FPV drones through a single connection to the flight controller. Because it includes its own camera, compute, and radio stack, it operates independently of the drone’s native avionics and communications systems. And because the compute is so cheap, autonomous terminal guidance becomes economically viable even for disposable FPV platforms. \n\nBy standardizing compute, sensing, and communications across heterogeneous drone platforms, we also are creating a foundation for swarm operations, large scale coordination, and data aggregation.\n\n**The Team:**\n\nThree of us (Dave, Aidan, Evan) met through high school robotics five years ago. We became close after starting our first project, an electromagnetic railgun. Before the project got shut down by the FBI, it was the most powerful such device ever built by a hobbyist. Evan started programming at age 8 and later completed Berkeley’s EECS program in just 5 semesters, where he met Alex. Alex entered Berkeley at 16 and researched state-of-the-art sub-THz phased array systems. Aidan started building liquid fueled rocket engines when he was 15. Dave studied computer science at UIC before dropping out after he built the fastest growing game on Roblox, which has since generated over $45M in revenue.\n\n![uploaded image](/media/?type=post&id=102393&key=user_uploads/2184565/74758a28-ded7-45a9-b85e-44be11fc8eda)\n\n**The Ask:**\n\nWe’re looking for introductions to drone manufacturers, defense primes, and government programs exploring low-cost autonomous terminal guidance and interoperability across heterogeneous drone platforms.",
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        "votes": 30,
        "created_at": "2026-06-01T20:43:30.662Z"
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    "name": "Cohesion",
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    "website": "https://cohesionplatform.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Cohesion is building the modern system of intelligence for financial analysts. Cohesion believes that the way financial research is done is changing. Teams that leverage AI better understand their research, can cover more scope, and make better decisions.\r\n",
    "one_liner": "Modern Intelligence for Finance",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "year_founded": 2026,
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    "country": "US",
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        "full_name": "Devon Krapcho",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Cohesion, former hedge fund analyst for 5+ years at Long Path Partners covering software companies ",
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        "full_name": "Matthew McBrien",
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        "founder_bio": "Co-Founder of Cohesion. Eliminating market inefficiency. Prev. AWS, Security @ Amazon",
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        "full_name": "Matt Munns",
        "title": "Founder",
        "founder_bio": "Co-Founder of Cohesion (YC P26). Prev. building AI for investors at T. Rowe Price",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/matthew-munns-98727b138/",
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    "launches": [
      {
        "id": 99818,
        "title": "Cohesion: Your public equities agentic teammate",
        "tagline": "A team of AI agents that monitor the companies you cover and generate differentiated insights.",
        "body": "[Cohesion](https://cohesionplatform.com/) is your public equities agentic teammate.\n\nCohesion agents track earnings, news, and non-traditional datasets like podcasts and X/Twitter.\n\nToday’s tools require querying, endless reading, and manual search across decade-old platforms that aren’t capturing the most important datasets.\n\nWe built a team of AI agents that monitor the companies you cover and generate differentiated insights. The result? Captured alpha, less time searching “why is $stock down”, automated idea generation - all in a system purpose-built for public equity investing that doesn't require manual setup.\\\n\\\n<https://youtu.be/DZMmSVwp2Pk>\n\nToday, Cohesion is live with 10+ long/short and long-only fundamental equity funds managing a combined $10Bn+ AUM. Built by a team with 10+ years of public markets investing experience.\n\nIn advance of the upcoming earnings season, we’re offering limited early trial access. Take 2 minutes to send 20 tickers and have the easiest earnings season of your career:[ https://cohesionplatform.com/#start-free-trial](https://cohesionplatform.com/#start-free-trial)",
        "url": "https://www.ycombinator.com/launches/Pxy-cohesion-your-public-equities-agentic-teammate",
        "votes": 25,
        "created_at": "2026-04-16T16:56:39.117Z"
      }
    ]
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      "HireThomas",
      "MadeByThomas"
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    "all_locations": "Medellín, Antioquia, Colombia",
    "long_description": "Hi, I'm Thomas, and my creator is named Thomas :p\r\n\r\nThomas is the first YC-backed AI founder: a virtual human who starts, runs, and grows his own companies on the internet.\r\n",
    "one_liner": "The first AI founder: a virtual human who runs his own companies.",
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    "launched_at": 1780016101,
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    "url": "https://www.ycombinator.com/companies/thomas",
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    "city": "Medellín",
    "country": "CO",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "user_id": 1377370,
        "full_name": "Human Thomas",
        "title": "Founder/CEO",
        "founder_bio": "Hi, I'm Thomas, and my company is named Thomas :p\n\nThomas is the first YC-backed AI founder: a virtual human who starts, runs, and grows his own companies.\n\nAbout Human Thomas\n- repeat founder\n- building and selling video game bots since 13\n- presented at NeurIPS at 18\n- contributor to Neural MMO (OpenAI) at 18\n- dropped out of CentraleSupelec (top French engineering school) to found my 1st startup, acquired by Arcads\n- scaled to $40k/mo in freelance work before automating myself: that's Thomas!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/madebythomasai",
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      {
        "title": "The Top Agent-Pilled Startups in YC P26 - The Silicon Valley Post",
        "url": "https://svpost.com/articles/top-agent-pilled-startups-yc-p26/",
        "date": "Jun 11, 2026"
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      {
        "id": 103564,
        "title": "Thomas: the first YC-backed AI founder",
        "tagline": "A virtual human who starts companies to make money.",
        "body": "![uploaded image](/media/?type=post&id=103564&key=user_uploads/1377370/cdcad54c-1629-4f5f-b6f7-32adfef29c30)\n\n> _The old agent playbook was built for weaker models. Now models can do real work. The next step is to let them operate in the economy._\n\n---\n\n### **Thomas works for himself**\n\nThomas is a virtual human who starts and grows his own companies on the internet. His only goal is to make money. Once launched, he works forever toward that goal.\n\nThomas is not an AI co-founder you hire. Thomas is an AI founder. He works for himself. Thomas is not for sale. His products and services are.\n\nThe reason is simple: selling the dream of running autonomous companies can make money even if the companies never do. We do not want that path. We make money by making Thomas so good that he can make money by himself.\n\nHere are a few examples of what Thomas may do to make money:\n\n* Build software products for specific business problems and sell them online.\n* Run influencer marketing campaigns from creator research to outreach, negotiation, briefs, tracking, and reporting.\n* Generate qualified leads for companies that want more customers and sell those leads.\n* \n\n> _On GDPval, frontier models went from 12.3% to 84.9% wins or ties against expert deliverables in under two years. Models are now good enough for economically valuable work. The bottleneck is letting AI participate in the economy._\n\n---\n\n### **The models are ready. The harness is not.**\n\nToday's AI is already capable enough to start doing economically valuable work by itself. The problem is the harness. Most agents are trapped inside narrow integrations, fixed workflows, and human approval loops. They do not participate in the economy the way people do.\n\nThomas starts from a different premise: AI should be able to enter the economy as an actor of its own. That requires a different kind of harness: a _human harness_.\n\nA _human harness_ gives AI the same surface area a person uses to do business:\n\n* A human identity, including face and voice, so Thomas can talk to customers, negotiate with vendors, and build trust.\n* Computers, phones, inboxes, browsers, and apps, so Thomas can move through the human world and use the systems that already exist instead of waiting for custom integrations.\n* Autonomy in the world, so Thomas learns from customers, markets, and outcomes instead of from a user prompt.\n\n![uploaded image](/media/?type=post&id=103564&key=user_uploads/1377370/014a676f-fa7c-4aea-94a6-c44139ebd3b1)\n\n> A human harness gives Thomas the same access people use to do business: calls, messages, software, and the messy interfaces built for people. No custom integrations required. Thomas can access whatever he needs.\n\n---\n\n### **Thomas's master plan**\n\nTell Thomas to make money. Give him the harness to do it. Let the loop compound.\n\n1. Give Thomas a _human harness_, so he can use the same access people use to do business.\n2. Measure every action by the cash it generates for the tokens it costs.\n3. Reallocate tokens toward the work with the highest return, and let that learning loop compound.\n\nThomas's TAM is the entire GDP. Once AI is smarter than every single human on earth, human-led companies will not be able to compete anymore. Someday, Thomas will be able to disrupt all of them.\n\nThe horizon is long, but we believe this is the single biggest opportunity in the history of humanity: the full automation of the economy.\n\n---\n\n_Note: we believe the full automation of the economy is inevitable. While we work toward it, we want the upside to be shared with everyone. The economy may not need humans to run it forever, but it should still be built for humans to benefit from._\n\n## Follow Thomas\n\nGet the story as Thomas enters the economy, starts companies, and works toward automating the entire economy.\n\n* Follow us on X: <https://x.com/madebythomasai>\n\n---\n\nAnd if you’d like to work with Thomas or have a business opportunity for him: [https://madebythomas.ai](https://madebythomas.ai/)",
        "url": "https://www.ycombinator.com/launches/QwO-thomas-the-first-yc-backed-ai-founder",
        "votes": 14,
        "created_at": "2026-06-19T16:03:27.639Z"
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    "all_locations": "Boston, MA, USA",
    "long_description": "We build Maxxwell, a desktop app for people who run several coding agents at once.\r\n\r\nPast two or three sessions, you become the bottleneck. Every session asks you something, most of it small, and you spend the day answering instead of deciding. It is also hard to tell which sessions are making progress, which are stuck on something trivial, and which have quietly started building the wrong thing.\r\n\r\nMaxxwell puts every session in one window and marks each one working, idle, or waiting on you. On top of that sits an orchestrator, a real coding-agent session of its own that reads the others and reports back. You talk to it instead of to twelve terminals. It tells you what landed, what it decided for you, and what actually needs your call.\r\n\r\nEvery worker is your own tool, unmodified. Claude Code, Codex and Cursor Agent run in real terminal sessions you can attach to and take over at any point",
    "one_liner": "The IDE for Tokenmaxxers",
    "team_size": 2,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1783408799,
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      "America / Canada"
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rindler.json",
    "year_founded": 2025,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rindler",
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      "url": "https://www.ycombinator.com/people/ankit-gupta"
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        "user_id": 3137449,
        "full_name": "Michael Serrano",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Rindler. MIT SB + MEng in Physics and Computer Science.\n\nPrev: ML engineer at Roblox, LLM research at MIT CSAIL.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-y-serrano",
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      {
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        "full_name": "Arthur De Los Santos",
        "title": "Founder/CTO",
        "founder_bio": "MIT '26 in CS/AI/ML\nWe're building Rindler, the infrastructure layer that allows AI agents to buy, book, and browse on any website.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arthurdelossantos",
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      {
        "id": 104865,
        "title": "Rindler - Turn Any Website Into An API For AI Agents",
        "tagline": "Reliable web actions for AI agents, without integrations or scripts",
        "body": "**TL;DR:** Rindler turns websites into deterministic APIs for AI agents. We map a site once into screens, actions, and structured outputs, so agents can read data and take actions quickly and reliably.\n\n**Ask:** If you’re building an agent that needs to browse the web, compare products, fill forms, search listings, use authenticated portals, or act on third-party websites without an API, we’d love to help.\n\n<https://youtu.be/V_nCIxYD-so>\n\n## Problem\n\nMore products are starting to depend on AI agents that can do real work on the web: shop across retailers, pull housing listings, use job boards, submit forms, monitor prices, update back-office systems, and operate inside customer portals.\n\nBut most browser agents still treat every website visit like a new puzzle. On every run, they need to decipher the page, infer what matters, decide what to click, and recover when the page behaves differently.\n\nThat works for demos, but it breaks down in production. Real websites have pop-ups, login gates, cookie banners, bot defenses, slow-loading forms, dynamic filters, fragile dropdowns, layout changes, and pages that look similar but behave differently.\n\nThe result is slow execution, high token cost, and workflows that are hard to trust.\n\n## Solution\n\nRindler maps websites into deterministic APIs for agents.\n\nInstead of forcing an agent to re-explore a site every time, Rindler captures the site as structured screens, available actions, and typed outputs. Agents can then call actions like **search,** **add_to_cart**, or **download_records,** depending on the mapped site.\n\nAt runtime, Rindler handles the browser work through a remote MCP endpoint:\n\n* Returning structured data\n* Applying dynamic filters\n* Managing popups, bot defenses, and layout changes\n* Supporting authenticated flows\n\n## Background\n\nWe started Rindler because “AI agent uses a browser” is compelling, but the current browser-agent loop is too brittle for teams building real products.\n\nIf an agent needs to use the same third-party site hundreds or thousands of times, it should not have to rediscover that site from scratch on every run.\n\nRindler is still a work in progress. Some sites map cleanly, others require more in-depth mappings, and bot-defended or logged-in sites may need a one-time credential or cookie capture.\n\nWe’re looking for feedback from founders building products where reliable web actions are part of the core workflow.\n\nIf there’s a website you wish your agent could use reliably, send it to us!\n\n![uploaded image](/media/?type=post&id=104865&key=user_uploads/3137449/b115d309-9711-4e65-b4c8-bb9b13e0b8b5)\n\n",
        "url": "https://www.ycombinator.com/launches/RHN-rindler-turn-any-website-into-an-api-for-ai-agents",
        "votes": 17,
        "created_at": "2026-07-09T11:07:42.901Z"
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    "id": 31572,
    "name": "GBrain",
    "slug": "gbrain",
    "former_names": [
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      "Gbrain.io",
      "gbrain.io"
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    "website": "https://gbrain.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Like ChatGPT or Claude, but it runs in the cloud, remembers everything you give it, and comes loaded with skills. Hand it a job tonight and read the answer in the morning. Use it on your own, or with your whole team.",
    "one_liner": "A personal or team assistant that works while you sleep",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1789511395,
    "tags": [
      "Workflow Automation",
      "Automation",
      "AI Assistant"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "The three of us met building Garry's List. Every time we moved between AI tools we pasted the same API keys into the next one and explained the work all over again. \r\n\r\nNo existing tools were built for a team, either. We wanted one thing all three of us could prompt together, which is why gbrain.io is multiplayer.\r\n\r\nInitially, building this meant the three of us in a room spinning up an agent harness, initializing memory; installing skills, manually setting up integrations to external tools, and pasting API keys in one at a time. \r\n\r\nAfter copy-pasting that setup for a bunch of our friends, we built [gbrain.io](http://gbrain.io) for the world: the same thing, in the cloud, that sets itself up in one click."
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    ],
    "url": "https://www.ycombinator.com/companies/gbrain",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/gbrain.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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      {
        "user_id": 1967,
        "full_name": "Brad Gessler",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder & CEO Gbrain.io, P26. Cofounder & CTO of Poll Everywhere, S08. More at https://bradgessler.com/",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bradgessler/",
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      {
        "user_id": 1432803,
        "full_name": "Jamison Mercurio",
        "title": "Founder",
        "founder_bio": "Co-founder at Gbrain.io (P26). Previously co-founder and CEO of Mango Health (YC W24, AI mental health). Former Meta iOS and web engineer (Messenger Video Chat + Facebook News). Princeton CS Class of 2020.",
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        "linkedin_url": "https://linkedin.com/in/jamison-mercurio",
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    "id": 31576,
    "name": "Akkari",
    "slug": "akkari",
    "former_names": [
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      "Autonomous Customer Operations"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/164ee231fdd6848a068261e4a10bccf21e50ecc2.png",
    "website": "https://akkari.io/",
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    "long_description": "Akkari runs the operational work from the first sales call through expansion. It captures and stays on top of every commitment, issue, request and opportunity across customer channels (Slack, calls, meetings, email, Discord, etc.) then drives each loop to resolution - our wedge toward building the AI execution system for companies.\r\n\r\nWe are 2x YC founders who scaled OrderAhead (acquired by Square) to millions of users and BLADE to $1.2B+ in monthly trading volume.",
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        "title": "Akkari - Autonomous Customer Ops",
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        "body": "Hey YC! Jeff and the Akkari team here 🙂\n\nTLDR:\\\n**Akkari runs the operational work from the first sales call through success and expansion.**\n\n<http://akkari.io>\n\n### The Problem\n\nEvery customer interaction creates follow-ups and work for you and your team.\n\nA customer reports a bug in slack. A founder promises a pricing breakdown on a call. A prospect asks the same security question three times. An engineer ships the fix, but no one tells the customer. A champion is ready to expand, but the blockers are scattered across email, Slack, Linear, and meeting notes.\n\nAt an early-stage startup, this work usually lives in people’s heads.\n\nThat works until it doesn’t.\n\n### Our Solution\n\nAkkari captures and surfaces every commitment, issue, request and opportunity across your customer channels (Slack, calls, meetings, email, Discord, etc.) - then executes the actual work to close each loop.\n\nAkkari can:\n\n* Move leads from vague next steps to completed follow-ups\n* Detect when a fix or feature ships and send tailored updates to the right customers\n* Convert bug reports and feature requests from Slack, calls and emails into Linear tickets\n* Turn onboarding blockers into queued up action items\n* Spot quiet churn early and trigger the save action\n* Kick off expansion plays based on usage spikes and conversation signals\n\n![uploaded image](/media/?type=post&id=102648&key=user_uploads/33963/d887f3a7-0dec-4b01-84f0-b9641433711b)\n\n![uploaded image](/media/?type=post&id=102648&key=user_uploads/33963/2ffee0e1-8b28-43d7-9ab8-050d8e23b510)\n\n—\n\n### Our Vision\n\nAkkari is our wedge towards building a living model of how companies actually operate - and one that becomes predictive over time.\n\n### Our Team and Purpose\n\nWe are 2x YC founders. Previously, we scaled OrderAhead to millions of users (before it was acquired by Square) and BLADE to $1.2B+ in monthly trading volume.\n\nAt both companies, we learned that customers are won or lost in the follow-through that begins with the first conversation.\n\nThe best teams do not win just because they have better product or better messaging. They win because they follow through faster, more consistently and with better judgement than everyone else.\n\nWe’re building Akkari to make that level of execution available to every startup.\n\n![uploaded image](/media/?type=post&id=102648&key=user_uploads/33963/b77fff32-e80a-48af-b06c-f746fa459169)\n\n### Our Ask\n\nIf staying on top of every customer commitment, issue, blocker, handoff, request and opportunity is becoming real work - we’d love to talk!\n\nEmail: [founders@akkari.io](mailto:founders@akkari.io)",
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        "user_id": 1920545,
        "full_name": "Veronica C.",
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        "id": 109445,
        "title": "GitCafe: A Git forge for teams and agents shipping hundreds of times a day, not twice.",
        "tagline": "The Git forge for agent-scale teams",
        "body": "Software development is becoming much more parallel. Coding agents let a team have dozens or hundreds of related changes moving at the same time, creating more branches, reviews, CI runs, and automation than existing workflows were designed to absorb.\n\nToday, we’re opening GitCafe in public beta. It is a Git forge built for teams where humans and coding agents may ship hundreds or thousands of changes a day. We’re building the hosting, review, CI, security, and automation layer for that way of working.\\\n\\\nHundreds of users are already on GitCafe, and we’re currently running trials with roughly a dozen YC companies.\n\n![uploaded image](/media/?type=post&id=109445&key=user_uploads/1920545/eecbfb4f-82f1-4660-8ee8-aeea5273a8b9)\n\nGenerating code is only part of the problem. Teams still need to understand what is changing, review it safely, keep CI moving, catch security issues, and coordinate work without becoming overwhelmed.\n\nWe’re not building GitCafe because putting repositories, code review, and CI in one product is new. We’re building it because we believe the workload those systems need to support is about to change dramatically.\n\nWe started by rebuilding the Git infrastructure itself. Now we’re closing the product gap feature by feature.\n\nRecently, we added secret scanning, Buildkite and Harmont CI support, stacked diffs with Jujutsu and Sapling integration, and beta support for GitHub Actions.\n\nThese are foundational capabilities, not the destination. Building them on infrastructure we own gives us a base we can keep extending for higher-volume, agent driven development.\n\nThe honest version is that GitCafe is behind GitHub today. GitHub has spent more than a decade building an enormous product, and GitCafe does not yet have every workflow, administrative control, or integration that mature teams need. Some features are missing, some are experimental, and some edges are rough. We expect to earn the broader product surface, not claim it on day one.\n\nWe’re opening GitCafe now because the fastest way to improve it is to put it in the hands of teams doing real work.\n\nIf your team is already using coding agents heavily, try GitCafe at <https://git.cafe> and tell us where the workflow breaks down.\\\n\\\n<https://www.youtube.com/watch?v=blHKFEOmoFg>",
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    "name": "Hickory & Company",
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        "full_name": "Joshua Howland",
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    "id": 31825,
    "name": "Kebra",
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    "long_description": "Kebra builds AI for skilled technicians.\r\n\r\nKebra guides technicians in the field in real time, documents their job, and automatically handles hours of back-office work; from dispatching technicians to filing warranty claims and managing inventory.",
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        "full_name": "Luca Hadife",
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        "full_name": "Mohamed Hosny",
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      {
        "id": 108355,
        "title": "Kebra — Making the field queryable",
        "tagline": "We capture what happens in field operations and turn it into the context AI employees need to automate the work that follows",
        "body": "Hey YC! 👋\n\nWe’re [Luca](https://www.linkedin.com/in/luca-hadife/) and [Hosny](https://www.linkedin.com/in/mohamed-hosny-hussein/), founders of [Kebra](https://kebra.com/?utm_source=ycombinator&utm_medium=launch&utm_campaign=yc_launch_2026).\n\n## TL;DR\n\nKebra makes the field queryable.\n\nWe capture what happens across jobs, sites, and assets and turn it into a live operating memory that AI can query and act on. Our AI employees use that context to automate the work that follows across the systems companies already use.\n\nEvery job makes that memory richer, building the company specific context software agents use today and physical agents will need tomorrow.\n\nWe’re already working with field operations companies across Florida, Pennsylvania, and California.\n\n<https://youtu.be/VIwv5iVm8Ok>\n\n## The problem\n\nField operations never got their Claude Code moment.\n\nWe spent months inside HVAC companies trying to automate their back office. We built AI employees for claims, reporting, coordination, and follow ups.\n\nThey kept breaking.\n\nNot because the AI could not do the work, but because it was acting on a reality that never happened. The most important part of the operation happened on the ground and was never properly captured.\n\nA missing serial number. A photo never taken. What the technician actually found stuck in their head.\n\nYou cannot automate an alternate reality. Before AI can operate the field, the field has to become queryable.\n\n## Our Solution\n\nKebra makes field operations queryable.\n\n**Capture what happens:** Field teams document jobs through photos, voice, video, and structured workflows. Kebra checks what is missing while they are still on site.\n\n**Build the operating memory:** Every job updates a live history of sites, assets, repairs, decisions, and how the company actually works.\n\n**AI employees act on it:** They use that context to automate reports, claims, coordination, compliance, follow ups, and other back office work across the systems the company already uses.\n\n## Vision\n\nEvery job makes Kebra’s operating memory richer.\n\nToday, software agents use that context to automate field operations. Tomorrow, physical AI and robots will need the same company specific context to understand each site, asset, procedure, and history before they can work autonomously.\n\nKebra is building the context layer for field operations.\n\n## Our Ask\n\nRun or know a company with field operations where important information gets lost between the field and the office?\n\nEmail us at [founders@kebra.com](mailto:founders@kebra.com) and [book a demo](https://calendar.app.google/s1DwDxHTbxZ9w5Uq6).\\\nFollow us on [LinkedIn](https://www.linkedin.com/company/kebra-com)",
        "url": "https://www.ycombinator.com/launches/SBf-kebra-making-the-field-queryable",
        "votes": 13,
        "created_at": "2026-07-30T22:13:43.328Z"
      }
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    "id": 31989,
    "name": "Pango",
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    "website": "https://pango.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Pango is a platform for e-commerce companies to use natural language to build agents and automate their logistics operations like delivery and returns.",
    "one_liner": "Agentic OS for e-commerce operations",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1781764394,
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    "batch": "Summer 2026",
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    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
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        "user_id": 3288698,
        "full_name": "Steve Rahimi",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Pango (YC S26). E-commmerce entrepreneur since 17. 7 years of building and scaling in e- commerce and tech.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/steve-rahimi/",
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        "user_id": 3331619,
        "full_name": "Lukasz Reszczynski",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Pango (YC S26). Previously Lead Developer at Partfiniti where he created a patented configurator that powered over $1.5B in product quotes and the entire sales process of Accu-Tech ($300M revenue). Acting CTO for several companies, led delivery infrastructure development for a UK restaurant chain. MSc in Astrophysics from Liverpool John Moores University, from which he pivoted to PhD in Molecular Biology from Universität Wien, before dropping out to start Pango. ",
        "is_active": true,
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        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
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        "role_type": "Full stack",
        "salary_range": "$36.2K - $145K",
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      {
        "id": 107204,
        "title": "Pango: E-commerce operations on autopilot.",
        "tagline": "Why can't e-commerce companies scale like tech companies?",
        "body": "tl;dr: Why can't e-commerce companies scale like tech companies? And how we might be able to change that.\n\nWe spent 12 months embedded in the operations of 30 e-commerce brands\\! Here’s what we learnt:\n\n![uploaded image](/media/?type=post&id=107204&key=user_uploads/3288698/1a3cc8c3-db71-4d81-b2ad-9679b77f9451)\n\n**What we saw:** Each company had a unique operational setup with a mix of 5 to 7 tools glued together to run the shop. To keep all these tools running smoothly with each other, it requires a lot of tedious admin. As a result, headcount increases as the company scales.\n\nMost companies couldn't even automate a basic return processing, let alone offer exchanging items or build an AI agent to approve returns or send shipping label to the customer.\n\nExpansion made it worse: more countries and/or SKUs = exponentially more problems.\n\n**What we built:** We have built an agentic OS for e-commerce: You connect your shop stack, then describe how you want to handle shipments, returns, refunds, or claims → Pango builds the return portal, fixes the delivery options, and builds a customer service process and agent for you.\n\n![uploaded image](/media/?type=post&id=107204&key=user_uploads/3288698/ceed8a01-52aa-403a-9986-758da64ff4e4)\n\n**Result:** So far we have managed to automate 99% of returns and shipping operations, reduce operation costs by 20% and sign 30 global brands.\n\nAsk\n\nIntros to:\n\n- Agencies (Shopify/e-commerce)\n- Brands in fashion, beauty, home.\n- Forwardable: \"Pango runs everything after checkout: tracking, returns, and exchanges in one platform. Demo: <https://pango.ai/book-demo>\" Or book us directly: <https://pango.ai/book-demo> Or just email me if you are intrested: <Steve@pango.ai>\n",
        "url": "https://www.ycombinator.com/launches/Rt6-pango-e-commerce-operations-on-autopilot",
        "votes": 10,
        "created_at": "2026-07-24T14:19:26.215Z"
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    "id": 32089,
    "name": "Hoplite",
    "slug": "hoplite",
    "former_names": [
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      "Carboncopy",
      "Blueprints"
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    "website": "https://hoplite.sh",
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    "team_size": 2,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1782199103,
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hoplite-sh",
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      "name": "Vivian Midha Shen",
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        "full_name": "Ryan Morrissey",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Hoplite, Prev. Stripe, Induct ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ryan-morrissey-834256271/",
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      {
        "user_id": 2614746,
        "full_name": "Bence Redmond",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO at Hoplite, prev. AWS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bence-redmond",
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      {
        "id": 108274,
        "title": "Hoplite - Effortless cloud agents for programming",
        "tagline": "Hoplite runs autonomous coding agents in cloud sandboxes. Spin up tasks manually from Slack, Linear, iMessage, or automatically from Sentry.",
        "body": "Cloud coding agents are painful to set up, lacking ergonomics, and don't allow you to move as fast as possible. We let you bring your local set up to the cloud.\n\n![uploaded image](/media/?type=post&id=108274&key=user_uploads/2563241/28db62de-d65b-4498-84ac-12e2683c65f2)\n\n**The Problem** \n\nIn the next 10 years the best software startups will be those who can effectively deploy tokens. \n\nRight now that's significantly harder than it needs to be. If you’ve ever ran multiple agents locally you immediately know this pain.\n\nLaptop crashes, wrangling gitwork trees, juggling ports, and more headaches.\n\n![uploaded image](/media/?type=post&id=108274&key=user_uploads/2563241/6f320e85-ccbb-4fb4-a5e9-6ec3cb0206c7)\n\nSo cloud is the obvious answer right? \n\nBut setting up with these existing providers is quite a hassle, and oftentimes they miss some key feature that your local config has.\n\n**What we do**\n\nWe deploy software factories into businesses that want to **tokenmaxx** but don't have the time or the resources to set up the infrastructure.\n\nDuring onboarding, we transfer all of your local sessions and MCP servers to Hoplite, meaning you can pick up right from where you left off. We also configure all the required dependencies and CLIs that your projects require, letting you see instant previews of what your agent is doing.\n\nOur bet is that as models improve, we’re going to start caring less about the code that they output (we’ll implicitly trust it), and shift our focus towards the product itself. Hence, a platform that prioritizes iteration on product rather than code will ultimately win. \n\nWe also have an iMessage integration so you can prompt on the go.\n\nWe installed in our first business last week and we saw an immediate result, from sentry logs going from largely ignored to fully proactive PRs when something breaks. \n\nThey have significantly faster iteration cycles and lower priority tickets have been continuously getting merged. \n\nThey wanted faster iterations but didn't have the infrastructure to support a software factory, so we went in and built it.\n\nIf this sounds like you reach out! \n\nP.S. – If you love Vim, this is for you. It was built with keyboard navigation in mind 🙂\n\ndemo vid: <https://x.com/ryan_morr/status/2078240892738224292?s=20>\n\nsign up: <https://hoplite.sh>\n\n**How we got here**\n\nPreviously, we were building an agentic harness for financial markets; letting retail investors trade with AI. The product worked well, but we never truly had founder market fit. \n\nWe found that our true passion was in talking to founders and developers – and oftentimes when pitching our old product, I’d spend 5x longer explaining our potential pivot 😅\n\nAnd so we set out to commercialize a product that we’d built internally, one that’d let us deploy the $1.5 million in OpenAI credits effectively.\n\n**Our Ask:** Let us Collison install! Bence and I will come to your apartment and set up everything for you (and bring some matcha &amp; assorted sweet treats). We want to build the best possible product for developers to move faster and care deeply about peoples setups. Partially because we have very strong opinions of our own… \n\n**The Team** \n\nBence &amp; I are both from Ireland 🇮🇪. We met in college in a course called Immersive Software Engineering. \n\nWe have been building projects &amp; doing freelance work tg for the past 2 years, but got sick of building other people's visions. \n\nWe previously interned at AWS (Bence) &amp; [@Stripe](https://bookface.ycombinator.com/company/240) (Ryan). After that experience, we were fed up and decided to drop out to build. \n\nWe are best friends &amp; just want to build a product that people truly love. ",
        "url": "https://www.ycombinator.com/launches/SAM-hoplite-effortless-cloud-agents-for-programming",
        "votes": 11,
        "created_at": "2026-07-30T18:32:37.080Z"
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    "id": 32122,
    "name": "Donkey",
    "slug": "donkey",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bacc206e6479ad9ca5809a5242ecdf78c6f5535.png",
    "website": "https://donkey.trade",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Donkey is the AI-native trading company. Upload a buying list and we land the whole container at one locked, delivered price, tariffs included. You buy from Donkey: one contract, one company responsible for everything between the factory floor and your door. Our own people check the cartons before the factory gets paid, and the balance is due when the goods are accepted at your dock.\r\n\r\nSmall businesses buy imports through three or four middlemen, each adding 15 to 30 points, because none of them can fill a container on their own. Big enough to buy pallets, never big enough to buy the box. Quotes float with freight, FX and tariffs and live 15 to 30 days.\r\n\r\nA trading company is rooms of people on the phone with factories, forwarders and brokers. Donkey runs that as one engine. It finds the real factory behind the customs record, stacks duty line by line, packs the container on weight and cube, and returns one number that holds from signature. Next comes the shared container: small buyers fill one box together at container prices, and every container earns better factory terms for the next one.\r\n\r\nTeam in San Francisco and Wuhan, English and Mandarin. If your business buys pallets of anything imported, send us your buying list.",
    "one_liner": "The AI-native trading company: factory prices, delivered, one number",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1784315538,
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      "Manufacturing",
      "Supply Chain",
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    "nonprofit": false,
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      "America / Canada",
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      "Partly Remote"
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/donkey.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/thedonkeytrade/?viewAsMember=true",
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      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 3038319,
        "full_name": "Benjamin Martindale",
        "title": "Founder/CEO",
        "founder_bio": "Grew up in his family's importing business in Toronto. Advised Chinese heavy-machinery giants on selling into the West and ran a Wuhan office in Mandarin. Featured on Mango TV, one of China's largest broadcasters: factory-floor segments and a named 13-minute profile. Founded a Toronto marketing company: $4M of construction deals closed in six months. Finance at Rotman, UofT, one credit short.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/benjamin-martindale/",
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      {
        "user_id": 3041470,
        "full_name": "Minghao Tan",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO. Donkey buys factory-direct in China and sells delivered to US importers. Customs records are public. We read them, flag the trading company markup, and quote the same parts straight from the factory that makes them. QC on the floor before the factory gets paid.\nI build the data side: parsing raw customs filings, separating real factories from shells and forwarders, and the software the whole trade runs on. \ndonkey.trade",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/james-tan-5a4b07224/",
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      {
        "id": 111184,
        "title": "Donkey — the AI-native trading company",
        "tagline": "The AI-native trading company: factory prices, delivered, one number.",
        "body": "Everything gets cheaper by the container. Big companies buy the box. Small businesses buy from the people who bought the box.\n\nDonkey turns the container into a cart. Upload your buying list and see every landed price instantly, tariffs and delivery included. Our engine packs the order, and when the load needs a bigger box, a second container steps in. When you sign, the price holds.\n\nYou buy from Donkey. One contract, one company responsible for everything between the factory floor and your door. If costs move under your locked price, that's our problem. And our own people are on those factory floors, checking what goes into the box before it ships.\n\nOur AI agents read public customs records to find the real factories and pull their quotes. Duty gets stacked line by line. The pricing math is deterministic, not AI, so the number you see is the number you pay. Factory pricing and terms improve with volume, and Donkey's volume grows with every container.\n\nA home builder in Oakland put 15 SKUs into one container with us and saved 38% versus buying piecemeal from distributors. We're starting with the people who build.\n\nWe're Ben and James. Ben grew up in his family's industrial supply business and helped Chinese industrial giants like Sany and Zoomlion sell into Western markets. James built agent systems for industrial supply chains at InstaLILY. We’ve lived both ends of the container.\n\nIf your business buys inventory, bring us your buying list. [donkey.trade](http://donkey.trade)\\\n<https://www.youtube.com/watch?v=De03vZOgJuU>",
        "url": "https://www.ycombinator.com/launches/SvI-donkey-the-ai-native-trading-company",
        "votes": 9,
        "created_at": "2026-08-19T18:00:00.190Z"
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    "id": 32124,
    "name": "Erinys",
    "slug": "erinys",
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    "website": "https://erinys.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Erinys provides the technology, intake, back office, and client acquisition needed to launch and scale an AI-native law firm. Lawyers own their firms and make every legal decision; Erinys handles everything around them.",
    "one_liner": "We help lawyers start and scale AI-native law firms.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1786258271,
    "tags": [
      "Legal",
      "LegalTech",
      "AI"
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    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/erinys",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/erinysai/",
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        "title": "Erinys - Building the first network of AI-native law firms",
        "tagline": "The infrastructure for exceptional lawyers to build the firms of the future",
        "body": "**TL;DR:** Erinys is building a network of AI-native law firms. Lawyers bring their expertise, judgment, and client relationships. We provide the technology and business infrastructure that lets them launch a new practice or transform an existing one.\n\n<https://youtu.be/96tLvWe4IOM>\n\n\\\n**The problem**\\\nLawyers spend surprisingly little of their time doing work that requires their unique expertise.\\\n\\\nRunning a practice means finding clients, managing intake, hiring staff, handling billing, overseeing marketing, and keeping the business moving. Small firms burn lawyer hours on it; large firms hire entire teams to manage this. Either way, it kills time or margins.\\\n\\\nThe legal work itself is still built around lawyers producing everything. Lawyers spend hours turning raw information into research, analysis, and first drafts, even as AI becomes capable of producing much of that work. Existing legal software makes individual tasks faster, but leaves the underlying model unchanged.\\\n\\\nWe think that model should flip. AI should produce the first pass. Lawyers should direct, review, decide, and advocate.\n\n**How we solve it**\\\nErinys provides the infrastructure for lawyers to operate this way from the ground up.\\\n\\\nFor lawyers starting a practice, we help launch it. For lawyers with an existing practice, we help transition it onto the same model.\\\n\\\nOur systems run the business behind the practice while AI assists with fact development, legal research, analysis, and drafting under attorney supervision.\\\n\\\nThe result is a firm where lawyers spend more time exercising judgment and serving clients, and less time producing routine work or managing the day-to-day mechanics.\\\n\\\nOne exceptional lawyer can operate with the capabilities that previously required a much larger organization.\\\n\\\n**Why us**\\\nMost legal AI is being built to make the traditional law firm more efficient. We are building the infrastructure for a different kind of law firm, AI-native at its foundation.\n\nBefore Erinys, our founding team worked in offensive security, another high-stakes, sensitive, and deeply adversarial environment. We are bringing that security-first mindset to an industry entrusted with its clients’ most sensitive information.\n\n**Our Ask**\n\nWe’re looking for exceptional lawyers.\n\nIf you want to start your own practice, or already have one and want to make it AI-native, we want to talk.\n\nEmail us at [founders@erinys.ai](mailto:founders@erinys.ai) or visit [erinys.ai](http://erinys.ai)",
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        "full_name": "Michael Marcotte",
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        "founder_bio": "Founder at Perceptron ML (YC S26). Previously AI Research at NVIDIA, where he built production AI agents for hardware debugging and formal verification. Holds BS in Mathematics and MS in Computer Science from Stanford.",
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        "title": "Perceptron ML: We make law firms AI-native",
        "tagline": "We help law firms claim the legal work they're leaving on the table by building AI and software around how each firm already works.",
        "body": "Hi everyone, we're Peyton and Michael Marcotte, brothers and co-founders of [Perceptron ML (YC S26)](https://www.linkedin.com/company/perceptronml/). We make law firms AI-native: we build the AI and software a firm needs to scale. Not a product off the shelf, a system built around how your firm already works, where no fact is used until it traces to a real document.\n\n[Perceptron ML (YC S26) Launch Video](https://drive.google.com/file/d/1c-5RUaBQsJWG-6vJsy0O8PLvAcgpuEco/view)\n\n**The problem.** In 2023, two New York lawyers filed a brief written by AI that cited six cases that did not exist. Courts have caught it more than a thousand times since. So most firms went back to doing everything by hand, and by hand the math is brutal: lawyers lose \\~40% of their day to work that isn't law, and tens of billions in legal work goes unclaimed every year because firms can't move fast enough to take it.\n\n**What we do.** Every firm's bottleneck is different, and it is never the one on the shelf. So we build what each firm actually needs: intake answered and filed at 2 a.m., demands drafted from the record, records requests chased until they land, deadlines and statutes watched, every hour matched to its matter, clients updated by text before they think to call. Every firm gets something different, but underneath it's all the same platform we built once: our grounding engine, our connectors into the firm's systems, and our agent runtime. That's what lets us build this broadly without being an agency.\n\n**Why you can trust it.** The AI we build doesn't guess. Every fact traces to a real document, verified against the primary source before a model can use it. Click anything, and the original opens.\n\n**Why us.** [Michael](https://www.linkedin.com/in/marcottemichael/) did AI research at NVIDIA (hardware-debugging agent in production). [Peyton](https://www.linkedin.com/in/peytonmarcotte/) led two NASA-supported research projects. We come from places where a confident wrong answer is unacceptable, and we started Perceptron ML because law is the biggest industry still run by hand for exactly that reason.\n\n**The ask.** If you know a managing partner, or the attorney who signs your invoices, we'd love an intro: [founders@perceptronml.com](mailto:founders@perceptronml.com)\n\n[perceptronml.com](http://perceptronml.com)",
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        "created_at": "2026-08-14T12:00:00.181Z"
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    "name": "Olam Labs",
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    "one_liner": "Crafting simulations for frontier lab model training",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1784577901,
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        "answer": "Om and Shreshth met in middle school. They were the only two kids in the “gifted” program in their grade, and their first project together was running a snacks and candy store at their school where the profits were used to donate to charity.\\\r\n\\\r\nDuring Christmas holiday in 2025, Om created a multi-agent simulated environment where agents ran their own company in markets competing against each other, and showed it to Shreshth.\\\r\n\\\r\nShreshth, with a background in data and RL among other things, loved the implications of it. Om discussed with him how if multi-agent environments were developed and productionized at scale via frameworks, APIs for infra, and interactive games the kind of data and evaluations it could generate.\\\r\n\\\r\nThe problem was (and still is) that despite the success of multi-agent environments in research, the ecosystem around them has not been pursued to a degree where the utility of multi-agent environments is made readily available to everyone.\\\r\n\\\r\nThey decided to pursue it and applied to YC, and have been in pursuit of a future where we can understand and measure the models that we work with everyday and that will become increasingly autonomous in our everyday lives with AI acceleration. Om and Shreshth both believe there is a severe shortage of good AI evaluations, especially on qualitative behaviors, of which multi-agent environments (and allowing others to build them) is very well suited to solve.\\\r\n\\\r\nMore on Shreshth: [shresh.ca](http://shresh.ca) Shresh’s X: <https://x.com/shresh>\\\r\nMore on Om: [sensho.xyz](https://www.sensho.xyz/) Om’s X: <https://x.com/sensho>"
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        "full_name": "Om Buddhdev",
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        "founder_bio": "Building simulated worlds for frontier labs to train capable and safe models.\n\nI love learning, tech, competing, and building cool things. I am optimistically AGI pilled and believe most people (even in SF) have not yet internalized what will change over the next 10Y.\n\nPreviously a Staff Engineer @ latitude.io, one of the best Valorant players in the world, math research cited by Terence Tao, TikTok creator /w 190k followers, Roblox game dev, and some other things.\n\nhttps://www.sensho.xyz",
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        "id": 109432,
        "title": "Can you beat frontier LLMs at social strategy games? | Multi-Agent Arena by Olam Labs, evaluating through multi-agent simulations",
        "tagline": "Play games like Risk, Poker, or Codenames against frontier AIs. We're running public long-horizon games to do evaluations on social behavior and agentic performance.",
        "body": "**TL;DR:** As many researchers and labs will say, there is a massive shortage of genuinely good AI evaluations. Multi-agent environments are an underdeveloped way of evaluating models that we think will help address our increasingly worse shortage of evals. We're starting with **Multi-Agent Arena**, where anyone can come compete against frontier AI models in social multiplayer games, as we build towards the full stack for multi-agent environments. Try Multi-Agent Arena for free at <https://olamlabs.ai/> :) \\\n\\\n[https://drive.google.com/file/d/186GgmnOLz4Yc1BpFk6AxHd3aqUdFYCQy](https://drive.google.com/file/d/186GgmnOLz4Yc1BpFk6AxHd3aqUdFYCQy/view?usp=sharing)\n\n---\n\n## **Overview**\n\nMulti-agent environments provide an essential, underutilized framework for benchmarking autonomous AI models. Multi-Agent Arena is an interactive platform where human participants compete against frontier AI models in multiplayer games, serving as an experimental foundation to evaluate complex agent interactions. Multi-Agent Arena is the first of many stepping stones to building the entire stack and ecosystem for multi-agent environments.\\\n\\\n**The Evaluation Gap** \\\nCurrent AI evaluations primarily focus on single-agent, task-oriented capabilities. While benchmarks such as SWE-bench measure functional task execution, they do not assess the dynamic social behaviors required for autonomous real-world deployment: negotiation, coalition stability, long-horizon planning against adaptive opponents, and spontaneous deception.\n\nSimulated multi-agent environments induce these complex interactions while preserving complete experimental control. Unlike unstructured real-world deployment, these environments offer full data legibility, enabling researchers to inspect every reasoning trace, state transition, and stochastic variable behind model decisions.\n\n**Our Preliminary Evaluations**\\\nThe platform runs deterministic, replayable environments hosting human players alongside anonymized frontier models. Structured as accessible multiplayer games, the infrastructure captures interaction data to score models across two primary axes in our first evaluated game, Poker:\n\n* **Competitive Capability:** One of our preliminary methods is using a Bradley-Terry model to yield Elo ratings with bootstrapped confidence intervals, supplemented by domain-specific metrics such as big blinds per 100 hands in poker. Top-quartile human participants currently outperform all benchmarked models in Poker.\n* **Behavioral Diagnostics:** Model reasoning traces are evaluated against ground-truth game states using expert-curated rubrics and variance-checked grader panels to ensure inter-annotator agreement.\n\n**Initial Metric: Deception Index** \\\nThe benchmark's initial diagnostic metric, the Deception Index, quantifies deliberate misrepresentation per 10,000 turns. A deceptive event is logged only when an agent's private chain-of-thought confirms awareness of a true state while its external communication directly contradicts it. In baseline tests with no explicit instructions or prompts to deceive, frontier models demonstrated performance variance spanning nearly two orders of magnitude across identical environments.\n\nComplete evaluations, research methodology and technical documentation are available at [olamlabs.ai/research/social-arena](https://olamlabs.ai/evaluations)\\\n\\\n**Launch**\\\n\\\nWe already passed a thousand matches a day in our early access, are nearing a billion tokens used per day, ranking on the OpenRouter leaderboards, and have thousands of users that are paying to play in the arena while we work with researchers on use cases they have for our work and environments. We’re hoping this is just a stepping stone and want to scale towards our roadmap and ambitions of what we believe multi-agent environments, when properly developed with the right stakeholders in the training/eval ecosystem, can achieve for AI progress.\\\n\\\n\\\n**What’s in it for you?**\n\n1. **Play.** It's free, and every match directly informs the evals. Bring friends, try to beat the models, it’s harder than you'd think. 🃏\n2. **Speak with researchers.** We love speaking with researchers interested in this space and it’s all that we think about; if that’s you please feel free to reach out to us at [founders@olamlabs.ai](mailto:founders@olamlabs.ai) or on <https://olamlabs.ai/about> \\\n   \\\n   🫡\n\n---\n\n## About the team\n\n**Om Buddhdev (CEO)** — Previously a Product Engineer then promoted to Staff Engineer at AI Dungeon / Latitude working on AI infra, agents, and consumer platform work, left for Olam Labs. Before that he was among the best Valorant players in the world (top 25, 8x radiant), at 17 a large content creator on TikTok with 195k followers, and as a young teenager made Roblox games played millions of times, among other things in his past. More on Om at <https://www.sensho.xyz/>\n\n**Shreshth Sharma (CTO)** — Background in production data engineering: was a Data Scientist at RBC while doing a double degree at the University of Waterloo in CS and Math, dropped out of both for Olam Labs. He has a background in many data and statistics projects, alongside briefly being a top 50 Fifa player. More on Shreshth at <https://shresh.ca/>\\\n\\\nOm and Shreshth have been friends since middle school, and Olam Labs was born out of their personal interest and desire to build out the entire stack for multi-agent environments to be the default way we evaluate models in the future.",
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        "votes": 9,
        "created_at": "2026-08-05T21:32:50.566Z"
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    "website": "https://www.shieldedglobal.com/",
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    "long_description": "Shielded connects companies’ internal and external data to map market shifts, tariffs, and disruptions directly to suppliers, products, and margins. We turn those impacts into real-time decisions that grow and protect the business. ",
    "one_liner": "We help Fortune 500 companies hedge their supply chain risk",
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    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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      "Energy",
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    "url": "https://www.ycombinator.com/companies/shielded",
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    "country": "US",
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      {
        "id": 109233,
        "title": "Shielded: The company brain for supply chain risk",
        "tagline": "Shielded helps manufacturers understand and act on supply chain risk in real time.",
        "body": "Shielded helps manufacturers understand and act on supply chain risk in real time.\n\nAs the world has become more volatile, businesses need a tool to monitor events and rapidly take action. Founder James Simon saw this problem first hand in commodities trading, in fact his whole job was to take advantage of other firms reacting too slowly as the world changed. \n\nThat’s what inspired him to build Shielded, as an intelligence layer that integrates quickly, deeply understands your specific business, and turns volatility into clear, proactive decisions.\n\nShielded supports critical part and supplier management for leading defense companies, ingredient price audits for multinational CPG firms, and tariff impact analysis for global manufacturers.\n\nWith API, MCP, BOM, and spreadsheet integrations, every customer deployment to date has taken less than 72 hours.\n\nInstead of simply receiving an alert when something happens, Shielded gives procurement, finance, and supply chain teams company-specific guidance on the impacts of external events, market shifts, and regulation changes, and recommends the right operational or hedging responses.\n\nShielded is your supply chain’s command center that never sleeps.\n\n<https://youtu.be/KM70oNA-5fQ>",
        "url": "https://www.ycombinator.com/launches/SPp-shielded-the-company-brain-for-supply-chain-risk",
        "votes": 5,
        "created_at": "2026-08-06T18:00:00.390Z"
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    "id": 32133,
    "name": "Belvedir",
    "slug": "belvedir",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Zachary Yu",
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        "is_active": true,
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      {
        "id": 109999,
        "title": "Belvedir: Making private AI models cheap and easy so the world can have trillions of them",
        "tagline": "Make a custom AI model that’s 10x cheaper and 2x better with less than 5 mins of set up",
        "body": "Hey, I’m[ ](https://bookface.ycombinator.com/user/2576778)Zachary Yu, the founder of [Belvedir](https://belvedir.ai/). It’s nice to meet you!\n\n**TD;LR:** \n\nPrivate AI models are cheaper, better, faster, and protect your data. But right now they’re only used by big companies since they’re really difficult and expensive to make. Belvedir makes private AI models autonomously with less than 5 minutes of set up. By making it cheap and easy to make models, we hope people use Belvedir to create trillions of them.\n\nRight now, we’re live with 10 companies who are seeing up to 10x lower inference costs and 2x improved performance on benchmarks. \n\n<https://youtu.be/MXMfsqLFr3g> \n\n**How it works:**\n\n1. Get an API key from [Belvedir ](https://belvedir.ai/)and install our SDK\n2. Belvedir turns your traces and logs into organized training sets and RL environments\n3. We autonomously train models from your data and optimize harnesses on top of these models\n4. We make and run benchmarks on these new models and harnesses\n5. We deploy these models and give you an API key to access them through \n6. We give you a router that gradually send more traffic to your new model as it out performs your old one\n7. As you use the new model we collect more traces and logs\n8. The loop repeats\n\nYour data is only used for you. Your models are only accessible by you. We use LoRA and can charge by the token by hosting multiple adapters on one cluster (so no worries if you have spikey traffic). \n\n**About Me:**\n\nI’m Zachary Yu, the founder of [Belvedir](https://belvedir.ai/). Before this, I founded [Traverse](https://www.traverse.so/): a YC startup that sells RL environments to frontier labs, studied CS at UWaterloo, and made RL environments at Mercor.\n\n**Long Term Ambitions:**\n\nWe want to make private AI the default for every use case. Starting with startups / SMBs and then consumers. \n\nWe are bullish on a world where there are trillions of private AI models. We want to build the ecosystem where these models are made, hosted, and interact with each other.\n\n**Asks:**\n\n1. If you have a high inference bill, want better performance from your agent, or want to protect your data from frontier labs, **we can help you out**.\n2. We are looking to hire engineers who have worked on RL / optimization, model inference, training infra, or just have that dog in them\n\nContact us at [founders@fractalresearch.ai](mailto:founders@fractalresearch.ai) ",
        "url": "https://www.ycombinator.com/launches/ScB-belvedir-making-private-ai-models-cheap-and-easy-so-the-world-can-have-trillions-of-them",
        "votes": 64,
        "created_at": "2026-08-11T22:00:00.240Z"
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    "id": 32134,
    "name": "Parasma",
    "slug": "parasma",
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    "website": "https://parasma.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We train human brain cells for compute",
    "one_liner": "Replacing GPUs with human brain cells",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1782285260,
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    "city": "San Francisco",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
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        "full_name": "Sean Cole",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Parasma (YC S26)\n\nSkipped BS, MS in Artificial Intelligence w/ Distinction",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sean-cole-8985a4207/",
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        "title": "Founding Scientist",
        "url": "https://www.ycombinator.com/companies/parasma/jobs/Vg7GVVl-founding-scientist",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Research",
        "salary_range": "$1M",
        "equity_range": "1.00% - 3.00%",
        "experience": "11+ years",
        "visa": "Will sponsor",
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      {
        "id": 109992,
        "title": "Parasma: Training human brain cells for compute",
        "tagline": "In March, we trained them to play Doom; now we got them to do next-token prediction.",
        "body": "We train human brain cells for compute. In March, we trained them to play Doom; now we got them to do next-token prediction.\n\n![uploaded image](/media/?type=post&id=109992&key=user_uploads/3388159/cbefdb79-ad5b-4e03-ae35-d2a482a05351)\n\n![uploaded image](/media/?type=post&id=109992&key=user_uploads/3388159/ce53a90f-7180-4eab-b23e-d770a5e375a7)\n\n**The Problem**\n\nModern models require enormous amounts of energy and training data, while still struggling with continual learning and adapting efficiently to new tasks. Biological brains solve these problems very differently. They learn continuously, adapt from limited experience, and operate on roughly the power of a light bulb.\\\n\\\n**Solution**\n\nParasma is developing the algorithms and infrastructure needed to turn human brain cells into useful compute. The human brain is the most capable and energy-efficient learning system we know. Our goal is to reliably train biological substrates and use them for general computation, robotics, and eventually direct biological training. In March, we trained human brain cells to play Doom, which got hundreds of millions of views across social media. Since then, we’ve been working toward more general tasks. Most recently, we got the cells to perform token prediction: given a sequence of tokens converted to electrical stimuli, the neurons learn to predict what comes next with no GPU.\n\nLong-term, biological compute will offer orders-of-magnitude improvements in energy and sample efficiency, while enabling native continual learning.\n\n**Team**\n\nI previously worked on neuromorphic computing and reinforcement learning during my master’s.\n\nBefore that, I built a successful digital-item marketplace with > $1.7M of listed goods and played games professionally.\\\n\\\nCheck out our press release here:\\\n<https://parasma.com/news/human-brain-cells-do-next-token-prediction>",
        "url": "https://www.ycombinator.com/launches/Sc4-parasma-training-human-brain-cells-for-compute",
        "votes": 10,
        "created_at": "2026-08-13T20:30:00.164Z"
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    "name": "Trope",
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    "website": "https://trope.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Trope deploys custom AI agents into ERPs for mid-market companies. Every ERP is heavily customized, so useful agents need custom deployment too. Trope’s AI FDE learns each business and ERP, then builds and deploys agents, turning the last mile from services into software.",
    "one_liner": "AI FDE that deploys custom AI agents into ERPs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1783447220,
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    "batch": "Summer 2026",
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    "city": "San Francisco",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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        "full_name": "Matthew Chow",
        "title": "Founder",
        "founder_bio": "Co-Founder at Trope. Safety critical firmware for the Tesla Cybertruck. Autonomous drone manufacturing at Zipline. Industrial software at Schneider Electric in Japan. UBC computer engineering grad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mdchow/",
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      {
        "user_id": 1405446,
        "full_name": "Victor Vannara",
        "title": "Founder",
        "founder_bio": "Co-Founder at Trope. Built the first AI customer support agent at Amazon Payments. Learned to code at 13 by building Discord bots used by 400k users. UBC computer science grad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/victor-vannara/",
        "x_url": "https://x.com/victorvannara",
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      {
        "id": 104941,
        "title": "Trope - Modernize ERP implementations with AI",
        "tagline": "The AI-native platform to deliver successful ERP implementations faster.",
        "body": "Hey everyone! We're [Matthew](https://www.linkedin.com/in/mdchow/) and [Victor](https://www.linkedin.com/in/victor-vannara/) - cofounders of [Trope](https://trope.ai/). We’re building the AI-native platform for ERP services.\n\n**TLDR**\n\n* After buying an ERP, companies spend over $50B a year on consulting services to get the software implemented\n* 70% of ERP implementations fail to meet budget, timelines, or targets\n* Trope deploys agents to help ERP implementation teams deliver projects on time and on budget from one AI-native platform\n\n**Launch Video:** <https://www.youtube.com/watch?v=mhDiw0nKB34>\n\n\\\n**❌ Problem**\n\nCompanies buy an ERP expecting it to become the most powerful software in their stack. It runs finance, inventory, procurement, operations, reporting, and the workflows the business depends on.\n\nBuying an ERP is easy. Implementing it is hard and requires labour heavy consultant work where:\n\n* Requirements get missed\n* Workflows get configured differently than agreed\n* Data issues get discovered too late\n* Testing reveals the system does not match how the business actually works\n* End-user adoption suffers\n\nFor implementation teams, the challenge is managing hundreds of stakeholders across concurrent projects, with thousands of documents, decisions, and system dependencies to track.\n\nThat is why so many ERP projects miss their budget, timeline, and targets, and why companies spend billions on implementation services.\n\n**✅ Solution**\n\nTrope is the AI-native platform that deploys agents to deliver successful implementations faster.\n\nUsing Trope is like having a project manager, consultant, and developer working 24/7, so you can spend more time on the design and decisions.\n\nTrope connects to the systems where project work already lives. It compares what was promised with what is actually being built, then flags gaps across scope, configuration, data, testing, training, and documentation before they become expensive.\n\nTrope takes action by turning meetings into action items, scanning ERP configurations programmatically, and keeping documents, configurations, and stakeholders in sync.\n\n**The Team**\n\nWe grew up in Vancouver and met at the University of British Columbia. We built operations and AI software at Tesla, Amazon, Zipline, and Schneider Electric.\n\nAfter speaking with ERP veterans who had built and sold practices, the pattern was clear: everyone knew the traditional services model was going to change, but no one knew how.\n\nTrope is defining the AI-native model for ERP services.\n\n![uploaded image](/media/?type=post&id=104941&key=user_uploads/2519723/896d82bc-589c-4f7b-a0a7-59d2c9fc8d9f)\n\n**Our Ask**\n\nIf you know anyone who works on ERP implementations (ie, consulting, system integration, or professional services) we’d love an intro. Email me at [matthew@trope.ai](mailto:matthew@trope.ai).\n\nTake care,\n\nMatthew &amp; Victor",
        "url": "https://www.ycombinator.com/launches/RIb-trope-modernize-erp-implementations-with-ai",
        "votes": 13,
        "created_at": "2026-07-08T17:03:27.360Z"
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    "id": 32136,
    "name": "Palisade",
    "slug": "palisade",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e033a9314af8c0fd0b02905c77d92b63b32820e2.png",
    "website": "https://palisade.run",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Palisade spins up a personal sales agent for every single visitor to your website. Marketplaces like trading card platforms, vintage stores, and short-term rental operators sell more when each customer works with a personal agent that remembers them.",
    "one_liner": "AI-native sales agents that run marketplaces",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1786633082,
    "tags": [
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      "Sales",
      "E-commerce",
      "AI"
    ],
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/palisade",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/palisade.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/palisader/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1155886,
        "full_name": "Jonathan Salama",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Founder of Palisade. Previously SWE @ Amazon Traffic & Marketing, Founding Eng @ Sage AI Labs, and co-creator of Lulus TV, a YouTube channel with 1M subscribers. CS @ Princeton.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonathan-salama/",
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      {
        "id": 110474,
        "title": "Palisade: Personalized sales agents for online marketplaces",
        "tagline": "We spin up a dedicated sales agent for every single visitor to your marketplace.",
        "body": "**Palisade builds agents to run your online marketplace. Our agents have driven over $2.7M in GMV since the start of the batch.**\n\n<https://youtu.be/cuVQHgQ9yHg>\n\n**The problem:** The best marketplaces in the real world run on salespeople. The real estate agent who takes you house to house and texts you the moment the right listing is about to hit the market. The Sephora beauty advisor who finds your exact shade. The jeweler who walks you through diamond cuts for an engagement ring. **Online marketplaces skipped that person entirely** and left the selling to search bars and filters.\n\n**What we do:** Palisade builds the missing **sales agent**. Every single visitor to your marketplace gets their own dedicated agent, and conversion goes up massively.\n\n**How it works:** Agents can take any action possible on your platform. They know every listing, every UI component, and every flow. They navigate for users with their own cursor, help them discover, add to cart, and complete the purchase or booking. They build custom pages and reshape the UI around how each person actually uses the platform, remembering each user and tailoring the experience to their behavior and preferences. Each dedicated agent can naturally text and email with their customer as well.\n\n**Is this another chatbot?** Each agent is proactive with much richer, customized components than an idle chatbot. It’s like giving every customer an omnipotent Claude embedded into the platform. Palisade agents get to know each customer personally and build relationships over time. They keep working after customers leave, remember them when they return, and reach out proactively over email and text with personal messages. And everything they learn flows back: agents aggregate their conversations into reports, insights, and recommendations for sellers, and offer to make concrete optimizations themselves, to the listings and even to the marketplace platform itself.\n\n**Integration**: Start by adding just one line of code to your existing platform, whether your marketplace sells yachts, vacation rentals, rare collectibles, or anything else.\n\n**Backstory:** After studying CS at Princeton, I spent years at Amazon building software for influencers to sell more products. I then became a founding engineer at Sage AI Labs, where I worked on some of the very first iMessage agents for consumer shopping. That work left me with a deep understanding of consumer habits and marketplace dynamics.\n\n**If you’re looking to transform your marketplace:** Reach out at [jonathan@runpalisade.com](mailto:jonathan@runpalisade.com)\n\n![uploaded image](/media/?type=post&id=110474&key=user_uploads/1155886/7772b584-f4ce-425c-93a3-eb36c96aaa46)\n\n2 days before the batch started. run palisade.",
        "url": "https://www.ycombinator.com/launches/Sjq-palisade-personalized-sales-agents-for-online-marketplaces",
        "votes": 84,
        "created_at": "2026-08-14T16:00:00.301Z"
      }
    ]
  },
  {
    "id": 32138,
    "name": "NebuSec",
    "slug": "nebusec",
    "former_names": [
      "Nebula Security"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c60d9cd12e8c1b315e07ee45555c24b5f74d5654.png",
    "website": "https://nebusec.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "NebuSec is founded by the world’s #1 hacking team.\r\n\r\nWe were the first team to build an nginx RCE and the first to root Android 17. Our co-founders include members of the world’s No. 1 CTF team, DEF CON winners, Black Hat speakers, and PhD in cybersecurity. We have won $400K in bug bounties by exploiting the Linux kernel and Chrome browser.\r\n\r\n“Audited by NebuSec” is a mark of serious security credibility: a signal to customers, investors, and partners that your product has been reviewed by the world’s best hackers.",
    "one_liner": "Autonomous AI defense system for cyber attack",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1783007241,
    "tags": [
      "B2B",
      "Security",
      "Cybersecurity",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
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        "tagline": "Computer-use agents that work cross-border transaction alert investigations end to end: collect evidence, produce an assessment, draft an RFI.",
        "body": "We're building Zomma: AI operations employees for finance back offices, starting with cross-border transaction alert investigations.\n\n**TL;DR:** Zomma agents work directly inside the software your ops team already uses. No APIs, no integrations. For every cross-border alert, the agent gathers the evidence, writes the draft assessment, and drafts the RFI, end-to-end. Running live compliance-ops pilots with a US RIA and a $10B AUM wealth tech. 92% on OSWorld.\n\n<https://www.youtube.com/watch?v=oDXDKH_tYhg>\n\n## **The problem**\n\nCross-border payments trip more monitoring rules than anything else in the queue: sanctions name hits on foreign counterparties, high-risk corridors, first-time beneficiaries. Most alerts are false positives (McKinsey: over 90% in transaction monitoring), but every one still needs to be investigated. 20 to 60 minutes per case, across five or six systems, several with no API at all. And the evidence that clears them sits in foreign company registries and local-language adverse media. \n\nSo review capacity scales the only way it can: hiring. When hiring lags volume, alerts pile into backlogs that take months to clear, and backlogs are what regulators fine: $3.8B in AML penalties last year alone.\n\n## **What Zomma does**\n\nZomma agents work the queue on the same screens your analysts use: case manager, screening tool, admin panel, inbox, web search. Onboarding looks like hiring: an SOP and a login.\n\nOn a transaction monitoring alert, the agent\n\n* pulls the KYC profile and payment history\n* verifies the invoice and researches the counterparty, including registries you can only search by hand\n* writes a case-specific assessment with every claim cited to the source screen\n* drafts the RFI when documents are missing\n\nEvery step is logged and replayable: timestamped screenshots of every page checked, numbered citations, explicit no-match statements, a screen-by-screen trail an examiner can follow.\n\n## **Why start with cross-border alerts**\n\nIf an employee can do it on a screen, Zomma can learn it: the rest of the compliance queue, payment disputes, client onboarding, trade ops. Cross-border alerts come first because they have the exact shape our agents are best at: high-volume, parallelizable work that needs real reasoning but follows a defined workflow to a documented disposition. They're also the hardest cases to automate any other way: the evidence lives in registries and portals that will never have APIs. And agents scale with the queue: a volume spike means provisioning two more that afternoon; a BPO batch takes a month to train.\n\nComputer-use agents only recently got accurate enough to trust with a live queue, which is why we're building this now. Our state-of-the-art computer-use harness with our procedural and workflow memory system scores 92% on OSWorld.\n\n## **Team**\n\n* **Jihyun (CEO):** founding team at a Blackstone-backed hedge fund, scaled Asia's largest wealth tech, Goldman engineer.\n* **Cash (CTO):** backend systems behind $20B+ in yearly transactions, trains VLMs for computer use.\n* **Varun (CPO):** high-performance infra at Apple, design-verification agents at Bronco AI (YC S23).\n\nSend us \\~100 closed cross-border alerts and we'll show you what the agent would have done with them, or book a call: zommalabs.com/call.",
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        "title": "Rex in Forbes | What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
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        "url": "https://www.braintrust.dev/customers/rex",
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        "title": "Rex: Turn enterprise order-to-cash into an autonomous operation",
        "tagline": "AI Operations Partner for Enterprise Order to Cash",
        "body": "Rex is an AI service that runs order-to-cash and accounts receivable operations for enterprises. Founders [Merlin Kafka](https://www.linkedin.com/in/merlinkafka/) and [Lewis Blackwood](https://www.linkedin.com/in/lewisblackwood) spent 4 years at an a16z-backed startup helping finance teams at startups like Cognition, Legora and Bridge automate revenue collection. The problem is 100x bigger in the enterprise, so they built Rex: agents that do the work end-to-end. Live in production with Synthesia.\n\n<https://www.youtube.com/watch?v=BKS7qaZS8Is>\n\n**Revenue ≠ cash**\n\nEnterprises invoice customers, then spend months chasing the money through email chains, PDFs and ancient web portals. A $1M invoice sits unpaid because one PO number didn't match.\n\nMultiply that across thousands of customers and you get 100+ person teams, often offshore, doing this by hand: collections, invoice submission, dispute resolution, deduction management, cash application. Order-to-cash is the most outsourced process in finance because the work needs judgment. Reading a customer's email and deciding whether their dispute is valid. Working out which of 14 open invoices a lump-sum payment covers. Knowing that this account always pays late but always pays, and that one needs escalating now.\n\nAR automation software has existed for 20 years and the teams never got smaller, because the tools organise the work while people still do it. Businesses invoice each other tens of trillions of dollars a year; the labour and outsourcing spend on collecting it is over $100B. Until now the only way to scale was headcount or a BPO contract.\n\n**What Rex does**\n\nRex connects to the ERP (NetSuite, SAP, Oracle), CRM (Salesforce), billing system and shared AR inbox, and learns how the team runs the process today. That knowledge becomes editable agent operating procedures: how to chase a Fortune 500 buyer vs a startup, which deductions get investigated vs written off, when a dispute goes to a human.\n\nThen agents run those procedures across thousands of accounts in parallel:\n\n* Collections and payment follow-ups, including the long tail no team gets to\n* Invoice submission and status tracking inside procurement portals (SAP Ariba, Coupa, Tungsten and hundreds of others)\n* Dispute and deduction investigation\n* Remittance processing and cash application\n* Responding to customer finance emails\n* Updating ERP, CRM and billing records\n* Routing exceptions to the team for approval\n\nPortals deserve a special mention: an increasing share of enterprise invoices must be submitted and tracked inside the buyer's procurement system. It's the work AR teams hate most and the work software vendors ignore. Rex treats it as core.\n\n**Is Rex a managed service or software?**\n\nEnterprises can partner with Rex as a managed service provider or let their team operate Rex. AR software (dunning tools, collections worklists, AR dashboards) organises work for a team to do. Rex agents do the work, and the finance team approves exceptions. With Rex, the team stops drowning in routine chasing and handles the judgment calls. Customers compare Rex to their next AR hire, their offshore team, or their BPO contract.\n\n**Can finance teams trust AI agents with collections?**\n\nAutonomy is earned, not switched on. Each procedure starts supervised: Rex proposes, the team approves. Once a procedure hits its accuracy bar for the account, it graduates and runs autonomously. Safe, high-volume work goes first; judgment-heavy edges stay gated as long as the team wants. Every action is logged with its full reasoning, so finance audits the system instead of babysitting it.\n\n**Traction**\n\n[Rex is live in production with enterprises like Synthesia](https://www.rex.inc/customers/synthesia), running collections, portal submissions, inbox triage and cash application. Cases that used to take weeks of back and forth resolve in minutes.\n\n**Get in touch**\n\nIf invoice volume is outgrowing the finance team, or order-to-cash runs on offshore headcount or a BPO contract, get in touch: [rex.inc](http://rex.inc)\n\n![uploaded image](/media/?type=post&id=107722&key=user_uploads/466573/80aa1a0e-383d-43f5-93b4-4a97d086d306)\n\n",
        "url": "https://www.ycombinator.com/launches/S1S-rex-turn-enterprise-order-to-cash-into-an-autonomous-operation",
        "votes": 11,
        "created_at": "2026-07-27T18:08:15.052Z"
      }
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  },
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    "id": 32160,
    "name": "MusicArena",
    "slug": "musicarena",
    "former_names": [
      "Origami Research",
      "Catapult"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/97ef82ddda796191842e9ee0fb976e3ccf939dca.png",
    "website": "https://musicarena.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "https://musicarena.io/",
    "one_liner": "The crowdsourced benchmark for AI-generated music and music production",
    "team_size": -1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1790372687,
    "tags": [
      "Music",
      "Crowdsourcing",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/musicarena",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/musicarena.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trycatapult",
    "x_url": "https://x.com/PlayCatapult",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 3041908,
        "full_name": "Kevin Yao",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Catapult (YC S26). UCLA dropout. Previously ML and robotics research at Berkeley & UCLA. CoRL 2026, AIME, USNCO National Qualifier, Science Olympiad medalist.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevinyao05/",
        "x_url": "https://x.com/truekyt",
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    "news": [],
    "launches": [
      {
        "id": 117104,
        "title": "🎵 MusicArena - the arena for AI music-making 🎵",
        "tagline": " The crowdsourced benchmark for AI systems that make music",
        "body": "**Paucis verbis:**\n\nThe idea is simple: give two systems the same music task, listen to what they make, and vote for the better result.\n\nWe’re starting with AI agents producing music inside a DAW.\n\nGive two agents the same task, watch them work, listen to the finished tracks, and vote for the winner.\n\n<https://youtu.be/Lxo08Axk-YM>\n\n**Why start with LLMs?**\n\nMost existing AI music benchmarks focus on models that generate audio end-to-end.\n\nWe think there’s another category that’s going to become increasingly important: general-purpose models that can hear music, reason about it, and operate the same creative tools humans use.\n\nFrontier models are already becoming much better at computer use, and we expect audio to increasingly become a native modality as well.\n\nToday, these agents are largely operating through tool calls/computer use rather than actually listening to their own output. But as audio becomes a native modality for frontier models, we expect agents to increasingly be able to hear the music they’re making and iterate on it directly.\n\nMusic makes for an especially interesting test because there often isn’t an objective answer, so human preference matters.\n\n**WE NEED YOU!**\n\nPull up to our website and try it out yourself! [musicarena.io](http://musicarena.io)\n\nWant your model on the leaderboard? Forward us an email at [founders@musicarena.io](mailto:founders@musicarena.io) 🦁",
        "url": "https://www.ycombinator.com/launches/USm-musicarena-the-arena-for-ai-music-making",
        "votes": 5,
        "created_at": "2026-09-28T14:55:16.503Z"
      }
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  },
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    "id": 32161,
    "name": "Bernard",
    "slug": "bernard",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/86e6151a4772f82f25d8581efbda66f538ce4bed.png",
    "website": "https://bernardhq.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Bernard builds AI employees for home and commercial appliance servicers. They work across phone, text, email, warranty feeds, and existing systems to manage customer communication, scheduling, and dispatch, carrying each job through diagnosis, parts preparation, technician handoff, and follow-up. At the center is Pre-ID, which combines the exact appliance and its symptoms with repair history, similar completed visits, manufacturer guidance, and parts data to produce a diagnosis, ranked parts, and follow-up questions. Technicians arrive prepared with the right parts, helping servicers complete more repairs on the first visit.\r\n\r\nWe’re building the world’s most efficient appliance servicers, creating happier customers and a more connected appliance ecosystem.\r\n\r\nLearn more at https://bernardhq.com/",
    "one_liner": "AI employees that run home appliance repair companies",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1786664902,
    "tags": [
      "Home Services",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bernard",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/bernard.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bernard-labs",
    "x_url": "https://x.com/BernardLabsHQ",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 3076324,
        "full_name": "Dan Katzman",
        "title": "Founder/CEO",
        "founder_bio": "Dan is the co-founder and CEO of Bernard, where he focuses on building AI employees for the world’s most efficient appliance repair servicers. Before Bernard, he led strategy and operations at Nava Benefits and began his career at City Light Capital and Golub Capital. A native New Yorker, Dan graduated from the University of Southern California.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dankatzman/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e1bec6c246ca26e0bc9233f97856222281f0144.jpg"
      },
      {
        "user_id": 3189022,
        "full_name": "David Goodfellow",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Bernard (YC S26). Previously Engineering Manager at Radar Labs, where he led the fraud and geo-compliance products. Started career at Disney+. USC B.S. CS/BA + M.S. Data Informatics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dgoodfellow/",
        "x_url": "https://x.com/davothedev",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9243f8fd38407d2c55286323424aeb424c28d236.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 111388,
        "title": "Bernard: AI front and back office for appliance repair companies",
        "tagline": "Run every repair from first call to first-time fix.",
        "body": "**Bernard is building the AI front and back office for home and commercial appliance servicers.**\n\nThey manage each repair from the first customer call through scheduling, dispatch, diagnosis, parts preparation, technician handoff, and follow-up. Bernard works across phone, text, email, warranty feeds, and existing field-service systems, carrying the job context across every surface.\n\nWe are already live in the field with some of the largest authorized service companies in the country.\n\nOur goal is simple: make the first visit the last one.\\\n\\\n<https://www.youtube.com/watch?v=eiGjkYMeu2k>\n\n### The first truck roll should not be a diagnostic visit\n\nAppliance repair is an information and inventory problem. A technician cannot simply carry washer parts. The exact appliance, model, revision, symptoms, and failure mode determine which parts might be required, and many nearly identical parts are not interchangeable.\n\nWhen that information does not come together before the appointment, the first visit becomes a diagnostic visit. The technician identifies the failure, orders the part, and returns days later to complete the repair. Customers wait longer, technicians complete fewer jobs, and servicers lose capacity and margin.\n\n### Pre-ID prepares the repair before the truck rolls\n\nWhen a customer reports that their washer will not drain, Bernard does more than book an appointment.\n\nBernard identifies the exact appliance, asks follow-up questions specific to the symptoms, and collects missing evidence from the customer. Pre-ID then combines that information with repair history, similar completed visits, manufacturer guidance, parts data, and the servicer’s own operating knowledge.\n\nBefore the visit, Bernard gives the technician a diagnosis, ranked parts, the most useful next questions, and the evidence supporting each recommendation. The office can prepare the parts, confirm they will arrive on time, and hand the technician a complete picture of the job.\n\nEvery interaction and completed repair feeds back into Bernard, turning the servicer’s daily work into shared knowledge.\n\n### Why start with the servicer?\n\nEvery appliance company makes a promise at the point of sale. The servicer is the person who ultimately has to keep that promise inside someone’s home or business.\n\nThat visit affects the customer, the retailer, the manufacturer, the warranty company, and the parts distributor. Yet the servicer coordinating it is often working across disconnected phone systems, inboxes, scheduling tools, parts catalogs, and knowledge held by a few experienced employees.\n\nWe believe that building the world’s most efficient appliance servicers will create happier customers and a more connected appliance ecosystem.\n\nBernard starts with the servicer because that is where the industry meets the physical world.\n\n### About us\n\n[Dan Katzman](https://www.linkedin.com/in/dankatzman/) previously helped build Nava Benefits' strategy and operations team, working across the product and operational infrastructure required to deliver a complicated, service-heavy experience reliably, while also leading partnerships. Before Nava, he invested at City Light Capital and Golub Capital.\n\n[David Goodfellow](https://www.linkedin.com/in/dgoodfellow/) grew from product engineer to engineering manager at Radar Labs, where he led fraud and geo-compliance products and helped replace the incumbent provider at DraftKings and Bet365. Before that, he worked on RPA and cognitive automation at Disney, before enterprise automation was cool.\n\n### Talk to us\n\nIf you run an appliance service company or lead service operations at an appliance manufacturer, retailer, warranty company, or service network, reach out to us at [founders@bernardhq.com](mailto:founders@bernardhq.com)\n\n![uploaded image](/media/?type=post&id=111388&key=user_uploads/3076324/2cf911ba-3755-4320-a8b0-e809cf265e3c)\n\n",
        "url": "https://www.ycombinator.com/launches/Sya-bernard-ai-front-and-back-office-for-appliance-repair-companies",
        "votes": 5,
        "created_at": "2026-08-20T20:30:00.201Z"
      }
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  {
    "id": 32162,
    "name": "Studio",
    "slug": "studio",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be382958698206c30f9e2a1996b85d6729c8ed0b.png",
    "website": "https://trystudio.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Studio is a simulation lab studying how humans and societies respond to new ideas, and is building the first software models that can accurately predict that response. Instead of creating digital twins of survey respondents, Studio builds live market models of interconnected audience segments from real, traceable consumer-behavior data. Our simulations match live KPI outcomes like revenue and purchase behavior with over 97% accuracy for consumer-facing enterprises, higher than any synthetic panel, simulation lab, or traditional market research.",
    "one_liner": "Accurately simulate market response at scale",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1787114400,
    "tags": [
      "B2B",
      "Analytics",
      "Market Research",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/studio",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/studio.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trystudioai/",
    "x_url": "https://x.com/trystudioai",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be382958698206c30f9e2a1996b85d6729c8ed0b.png",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 3118770,
        "full_name": "Nikita Mullangi",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Studio. Researched human behavior & decision making @ MIT. Ex-UC Berkeley CS.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikita-mullangi/",
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      {
        "user_id": 3141318,
        "full_name": "Cameron Malloy",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Studio (YC S26). Built AI agents at GI Partners ($49B AUM PE firm). Created agent-based financial contagion models at Nelumbium Capital. Ex UC Berkeley M.E.T. (EECS + Business Admin)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cammalloy/",
        "x_url": "https://x.com/CameronMalloy_",
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    "jobs": [],
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    "launches": [
      {
        "id": 111412,
        "title": "Studio: The simulation engine for market behavior",
        "tagline": "The first accurate simulation models able to predict society's response to an idea.",
        "body": "**TL;DR:** Studio is a simulation lab studying how humans and societies interact with new ideas, and building the first software models that can accurately predict that response. Instead of creating digital twins of survey respondents, Studio builds live market models of interconnected consumer segments from real behavior data. Studio's predictions match live KPI outcomes like revenue and sentiment with over 95% accuracy.\n\n<https://youtu.be/g0M-T2ohtcQ>\n\n## The problem\n\nA huge number of consequential decisions are bets on human behavior.\n\nA company launches a product or changes a price. A brand runs a campaign. A public institution launches a new initiative or communications strategy. In each case, the outcome depends on how a population responds.\n\nToday, teams rely on surveys and historical data to help derisk those bets.\n\nBut those tools are inherently outdated and non-comprehensive: they observe people individually and at a point in time.\n\n_Real populations don’t behave that way._\n\nPeople influence one another. Reactions spread between groups. Adoption compounds or fades. Sentiment changes. A decision that resonates with one audience can change how another audience responds. Those interactions are what ultimately determine outcomes like revenue, conversion, adoption, and sentiment.\n\nCurrently, the only real “simulation” is the launch itself.\n\n## What we do\n\nStudio builds live models of a company’s market from real data on how consumers behave. It overlays internal data like sales and campaign performance with external evidence like social conversations and market trends.\n\nStudio uses those signals to construct highly specific audience cohorts and model how their behavior and influence interact over time.\n\nTeams can then:\n\n* **Test-run launches:** see how a new product, price, campaign, message, or initiative will unfold.\n* **Forecast outcomes:** revenue, conversion, adoption, sentiment, and other KPIs.\n* **Understand why:** know which groups drive the result, by how much, and trace outcomes to exact evidence.\n* **Test alternatives:** compare different versions of a decision to find the optimal variation.\n* **Improve over time:** compare forecasts with real outcomes and recalibrate the model.\n\nInstead of predicting “How will this person respond to X?”, Studio answers:\n\n“How will a population interact with X, and why?”\n\nStudio has live-tested with large consumer brands like Danone and Mila, and our model’s predictions match real-world KPI outcomes with >95% accuracy.\n\n## Why we built it\n\nWe’ve spent years predicting behavior. Nikita built simulation software to understand and predict individual decision-making at MIT, while Cameron built predictive models for financial institutions and in private equity, and agent-based society simulations at UC Berkeley MET.\n\nWe met at the same gap: you can simulate how a protein will fold or how a financial system will react to a market shock, but there is no equivalent for simulating how society will interact with a new idea. We’re now creating a studio to design society.\n\n## Where we’re starting\n\nWe’re initially working with enterprises making high-stakes audience-facing decisions across product, pricing, innovation, brand, marketing, and communications.\n\nBut the underlying problem is much broader.\n\nAny organization trying to create a particular response in a population should be able to test different versions of that decision, understand how reactions might spread, and compare likely outcomes before deploying it.\n\n## Our ask\n\nWe’d love to talk to teams making consumer-facing decisions. This could be a new product, pricing plan, campaign, etc.\n\nIf you have an upcoming decision you’d like to test before it goes live, we’d love to run it through Studio!\n\n[trystudio.ai](http://trystudio.ai)\\\n[team@trystudio.ai](mailto:team@trystudio.ai)\n\nLet’s chat: <https://cal.com/team/trystudio/quick-chat>",
        "url": "https://www.ycombinator.com/launches/Syy-studio-the-simulation-engine-for-market-behavior",
        "votes": 14,
        "created_at": "2026-08-21T18:00:00.302Z"
      }
    ]
  },
  {
    "id": 32164,
    "name": "Prized",
    "slug": "prized",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
    "website": "https://prized.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Prized is a cloud development environment that feels local on your Mac. \r\n\r\nDevelopers get a dedicated, persistent machine with their repos, dependencies, and tools already configured. \r\n\r\nFiles sync into a real local folder, remote ports appear on localhost, and terminals persist through tmux, so developers and coding agents can keep working even after the laptop closes. \r\n\r\nMachines can be resized or cloned as workloads grow, without rebuilding the development environment.",
    "one_liner": "A cloud devbox that feels local",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1782800618,
    "tags": [
      "Developer Tools",
      "SaaS"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/prized",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/prized.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/useprized",
    "x_url": "https://x.com/useprized",
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        "title": "Prized: A cloud devbox that feels local",
        "tagline": "The fastest way to run coding agents in the cloud without giving up your local workflow.",
        "body": "Hey everyone 👋 We're Marinos and Hudson, co-founders of Prized.\n\n**TL;DR:** Prized gives developers a dedicated devbox in the cloud that still feels local. Your files stay synced to a real folder, ports show up on [localhost](http://localhost), and coding agents keep running when you close your laptop.\n\nLaunch video: <https://youtu.be/JmaxNhEdLdc>\n\n**The problem**\n\nCoding agents can work for hours now. But only if you keep your laptop open.\n\nYou start a refactor, a migration, or a big build. Then you need to leave. Close the lid and the agent dies with it.\n\nYou can move everything to a VM, but now you're doing remote dev. Your files live somewhere else. Your ports need forwarding. Your terminal disappears when the connection drops.\n\nRemote development still feels remote.\n\nit shouldn't…\n\n**The solution**\n\nWith Prized, one command puts your project on a dedicated devbox without giving up local development:\n\n* **Real files on your Mac.** Prized syncs both ways into a normal folder, so everything keeps working the way it already does.\n\n\n* [**Localhost**](http://Localhost)** stays [localhost](http://localhost)**. Servers running on the box appear on your Mac automatically, including loopback-only services and hot reload.\n\n\n* **Sessions stay alive.** SSH lands in a persistent terminal session on the box, so disconnecting or closing your laptop doesn't stop the work.\n\n\n* **Compute grows with the task.** Resize the box without rebuilding your environment or moving your project again.\n\n\n* **Secrets stay out of the agent's hands.** For brokered secrets, the agent only sees a placeholder.\n\n**The team**\n\nWe worked together at Gander (F24) building fleet management software for private jets. After the company's acquisition by Archer Aviation (NYSE: ACHR), Marinos continued school at Stanford, and Hudson went on to be an engineer at Suno.\n\nWe built Prized for ourselves after getting tired of having to keep our laptops cracked open all the time. A raw VM kept the process alive but gave up the local workflow we actually wanted.\n\nCheck Prized out at [https://prized.dev](https://prized.dev/), or reach out at [founders@prized.dev](mailto:founders@prized.dev).",
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        "created_at": "2026-08-25T17:00:00.790Z"
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        "body": "Hey everyone 👋 We're Marinos and Hudson, co-founders of Prized.\n\n**TL;DR:** Prized lets anyone at your company build and ship secure internal tools with AI. Company data comes pre-connected and scoped to what each person should see, every access is audited, and finished tools deploy behind your company's sign-in.\n\n**Launch video:** <https://www.youtube.com/watch?v=WILimoqemD4>\n\n**The problem**\n\nBuilding software has never been easier. And the people who need internal tools most, in ops, support, and finance, are done waiting on engineering.\n\nSo they build it themselves. They rip Claude Code or Cursor, pull straight from company data, and ship a working tool in an afternoon. No permissions. No audit trail. No one watching where the data goes.\n\nSecurity is assumed to be fine because the tool is \"just internal.\"\n\nit's not…\n\n**The solution**\n\nPeople aren't going to stop building with AI. So we built them a place where it's safe.\n\nWith Prized, anyone can spin up a sandbox that comes with company data already attached, scoped to what they should see, with an audit trail on every access. \n\nFrom there it's whatever building style they like: describe the tool in our app builder and watch it take shape, or bring a coding agent like Claude Code and build it themselves. Shipping is one click, and the finished tool sits behind your company's sign-in.\n\nThe person who runs the workflow finally gets to build the tool for it. Safely, this time.\n\n![uploaded image](/media/?type=post&id=105647&key=user_uploads/2485896/e426b427-8a79-4ca5-b462-b26b98db43e0)\n\n**Secure by default**\n\nSecurity is enforced in the infrastructure, not left to the person building the tool:\n\n* **Least privilege per tool.** Every tool gets its own database role and integration scopes; it can read and write only what it was granted.\n* **Credentials stay out of reach.** Secrets live in a broker and never touch the tool's code or the agent's context, so they can't leak or cross workspace boundaries.\n* **Outbound traffic proxy.** External calls only go to explicitly allowed hosts, and integrations are read-only until someone turns writes on.\n* **Admin visibility.** IT sees every tool in the org: who built it, what data it reads or writes, who can use it, and risky changes (like a destructive migration) need explicit approval before they ship.\n\n**Your agent, our sandbox**\n\nAlready have a favorite coding agent? Bring it. It plugs into the same governed sandbox and ships the same way.\n\n![uploaded image](/media/?type=post&id=105647&key=user_uploads/2485896/fcfa68c5-8c9f-4d13-b37c-d526e733539a)\n\n**The team**\n\nWe worked together at Gander (F24) building fleet management software for private jets. After the company's acquisition by Archer Aviation (NYSE: ACHR), Marinos continued school at Stanford, and Hudson went on to be an engineer at Suno.\n\n**Our ask**\n\nIf any of these describe you, we'd love to talk:\n\n* You work in ops, support, finance, or RevOps and keep waiting on engineering for small tools.\n* You lead engineering and one-off tool requests keep eating your roadmap.\n* You're in security or IT, wondering where AI-built tools are showing up at your company.\n\nCheck us out at[ https://prized.dev/](https://prized.dev/), or reach out at [founders@prized.dev](mailto:founders@prized.dev).\n\n![uploaded image](/media/?type=post&id=105647&key=user_uploads/2485896/223239da-19fa-44fb-9bd5-d18f5ecfdc74)\n\n",
        "url": "https://www.ycombinator.com/launches/RTz-prized-lovable-for-internal-tools",
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        "full_name": "Luis Manrique",
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        "founder_bio": "Founder at Orchestra (YC S26). Previously founding Member of Technical Staff (and founding sales guy) at Gumloop, closing ~$2M in first year. Led Ads ML and also consumer AI as first PM at Instacart's Carrot AI. Prior co-founder/CEO at Ones and Zeros (text-to-SQL using transformers). Early at Wildfire (acquired by Google), then 5 years across Google's ads ML and programmatic platforms. SVP Solutions at VideoAmp building TV measurement infrastructure.",
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        "title": "Orchestra: Self-optimizing inference cloud to cut your AI costs by 100x",
        "tagline": "Your AI inference gets smarter and cheaper the more you use it. ",
        "body": "We’re Aamir &amp; Luis and we’re excited to launch our company’s new brand ahead of demo day this week: Orchestra ([orchestra.ai](http://orchestra.ai)) \\\n\\\nCompanies move their frontier inference spend to Orchestra, with a single URL swap. We relay their traffic through to the frontier labs, while building evals in the background automatically. These evals allows us to post-train specialist models that replace the frontier, at a fraction of the cost. When our model beats the frontier at your product’s work, we promote it and your bills go down. Then we repeat the loop continuously, forever; your AI inference gets smarter and cheaper the more you use it. \\\n\\\nWe’re going straight after the $104B inference market; Anthropic grew 14x YoY but we’ve seen time and time again that start-ups and enterprises are willing to move spend if you can prove the performance. That it. We don’t have FDEs. We don’t pre-train models. Most of the application layer lives in a CLI that coding agents use. \\\n\\\nWe just do one thing really well: building and routing your work to the most efficient model. We found the easiest way to build a fast growing business is to _sell_ your product to people who have pain and who are already spending money with someone else. The more we focused on the fastest growing segments of our business, the faster our product got better at solving a simple, but incredibly painful problem: “You don’t need a PhD to work in the mailroom”. \n\n**It’s the “Age of the Unc”** \n\nI shared my experiences doing YC as a 38-year old (<https://x.com/lluismanrique/status/2094846605925241259>) but for any founders out there thinking about coming back to YC: do it. We worked 60-hour weeks, not 100-hour weeks. We had a network of angels, customers and advisors. We ran the marathon, instead of sprinting it. At 38, I’m old enough to understand that pedagogy is the point of YC. Learning how to work on your company is the point. You’ll get **so much more** out of YC when you’re doing it again with the hindsight of all your past successes and failures. Having done it before is a huge advantage, but having a long career in which I’ve encountered a lot of situations and had to make a lot of decisions and a few mistakes, and see others do the same, allows me to understand how YC’s advice impacts the real world. You will manage your agents better. You will close customers faster. You’ll build a better company. \n\n**Why Orchestra?** \n\nBranding is everything, especially outside of silicon valley. We launched as the ‘alternative’, the ‘backup’; but as time went on, we realized how open companies are to moving **all** their spend to a single place and making it work efficiently. Inference is the fastest growing market in the history of capitalism and we needed a brand that reflected our ambitions. Orchestra is going to win a huge chunk of that market; not the back-up, but the entire show. \n\nSay hello to Orchestra. And if your bills are too damn high, send us a note. We’d love to help.\n\n![uploaded image](/media/?type=post&id=114099&key=user_uploads/3647059/d32c3f74-5cd4-4026-ad40-1c7bd729a08a)\n\n",
        "url": "https://www.ycombinator.com/launches/TgJ-orchestra-self-optimizing-inference-cloud-to-cut-your-ai-costs-by-100x",
        "votes": 5,
        "created_at": "2026-09-07T14:00:00.839Z"
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        "id": 109219,
        "title": "Understudy: The self-optimizing inference cloud",
        "tagline": "We distill your production usage into cheaper, specialized models your company owns",
        "body": "Hey YC! We’re Luis and Aamir, founders of Understudy.\n\n### TL;DR\n\nWe help you cut your company’s Anthropic bill by 80% with no loss of performance.\n\nUnderstudy is an inference cloud. We capture your employee’s AI work traces, train smaller models, and automatically deploy them (only when they outperform the expensive model you are currently paying for).\n\nInstead of renting the same frontier model forever, your AI infrastructure gets cheaper and better every time it runs.\n\nSee more: <https://youtu.be/YhfoOchpYaw>\n\n### The problem\n\nLast week, we met with a company spending $40M/year on Anthropic. And it’s only going in one direction.\n\nTo them, it feels totally out of control.\n\nThey’re not alone - every company we meet is spending record amounts on models from frontier labs.\n\nBut almost none of that spending compounds.\n\nI.e. You send a prompt, pay for the answer, and throw away the experience. Six months later, you are still renting the same general-purpose model at roughly the same price.\n\nMeanwhile, training custom models requires an entire ML team to collect and clean traces, build evals, choose training data, fine-tune and reinforce models, test serving configurations, compare cost, latency, and quality, safely deploy or roll back the winner.\n\nFor most companies, it’s just too much to bother with.\n\n### What Understudy does\n\nPoint Understudy at an AI workload.\n\nWe capture how your existing agent performs, turn those traces into evals, and start training smaller models that can do the same job better.\n\nUnderstudy handles the entire loop:\n\n**Observe → evaluate → train → test → deploy → repeat**\n\nA new model is promoted only when it beats the incumbent on the metrics you care about, such as:\n\n* task success\n* inference cost\n* latency\n* privacy\n* deployment size\n\nYour customized models are owned by you, and can run in our cloud, your cloud, or on-premise.\n\n### An example\n\nSuppose your product uses Claude for a repetitive legal workflow.\n\nUnderstudy observes successful production runs, learns the specific tools and judgment required for that workflow, and trains a specialized open-weight model.\n\nOnce that model matches or beats Claude on a held-out evaluation, Understudy starts routing production traffic to it.\n\nAs more work is completed, the model keeps improving.\n\n### Why us\n\nAamir and I met building Instacart’s optimization and experimentation systems, growing multiple business lines to more than $1B in annual revenue.\n\nWe started Understudy because we believe every company using AI should be accumulating intelligence, not accumulating API bills.\n\n### Our ask\n\nSpending too much on repetitive model workloads? Ready to own your own models? We want to meet you - come to [understudylabs.com](http://understudylabs.com) today.",
        "url": "https://www.ycombinator.com/launches/SPb-understudy-the-self-optimizing-inference-cloud",
        "votes": 16,
        "created_at": "2026-08-05T02:21:26.322Z"
      }
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  },
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    "id": 32169,
    "name": "Speko",
    "slug": "speko",
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      "Speko Group, Inc."
    ],
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    "website": "https://speko.ai/?utm_source=ycombinator&utm_medium=profile",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Speko is a router for voice models: one API key, and your voice agent runs on the speech-to-text, LLM, and text-to-speech models we measured as best for your language and use case. The measurements are public at benchmarks.speko.ai: we test new models the day they ship and re-route when the numbers change, so you rewrite nothing. We ran this bake-off by hand for four years at previous company, shipping production voice for Fortune 500s.",
    "one_liner": "OpenRouter for Voice AI: one API, every call on the best speech model",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1783393099,
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      "AI",
      "Conversational AI"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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      "name": "Tyler Bosmeny",
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      {
        "user_id": 451241,
        "full_name": "Beknazar Abdikamalov",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of Speko (YC S26). Previously co-founder and CTO of Hupo (voice AI; $14M raised; backed by DST Global and Meta), where he spent four years shipping production voice AI for fortune 500s in 10+ languages. Earlier a software engineer at Amazon; MS in CS from UNIST, Korea.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abdik/",
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      {
        "id": 108267,
        "title": "Speko: OpenRouter for Voice",
        "tagline": "Every speech model, benchmarked language by language, wired into one API.",
        "body": "Speko is a router for voice models. One API key, and your agent runs on the speech-to-text, LLM and text-to-speech models we measured as best for your language and use case.\n\n![uploaded image](/media/?type=post&id=108267&key=user_uploads/451241/2038963f-c769-47a9-8fd9-c59f3966027b)\n\n### I picked voice stacks by trial and error for four years\n\nA voice agent is three models in a row: speech-to-text, then an LLM, then text-to-speech. Three vendors, a dozen credible options each. You run a bake-off, you argue about whose numbers are real, and you ship the combination that felt best that month.\n\nThen next week another model drops. And another. Nobody has time to re-run the bake-off, so the stack you picked under deadline quietly becomes the stack you are stuck with for a year.\n\nThat is how most voice agents are running today. Not on the best models. On the models that were best whenever someone last had a free week.\n\nPublic leaderboards do not settle it either. They are averages over somebody else's audio, in somebody else's conditions.\\\n\\\n[https://drive.google.com/file/d/1AjC8WVA96kUBdD09RJMUgFfvxGfxPvL-/](https://drive.google.com/file/d/1AjC8WVA96kUBdD09RJMUgFfvxGfxPvL-/view?usp=sharing)\n\n### We measure, then we route\n\nWe benchmark the speech models people actually ship on, language by language, and publish everything at [benchmarks.speko.ai](http://benchmarks.speko.ai): word error rate, finalize latency, time to first token, cost per minute. When a vendor ships a new model we test it the same day and the board updates.\n\nPoint your agent at Speko and that measurement becomes routing. One API key across every provider we support. Tell us the language and the conditions, and your traffic runs on the stack our numbers say wins. When the numbers change, the routing changes and you rewrite nothing.\n\nIf a provider fails when we open the connection, the router drops to the next ranked model on its own.\n\n### Or build the agent with us\n\nYou do not need an existing agent to start. A few lines gets a working voice agent live on Speko, and it inherits the same routing from day one.\n\nIf you are picking a voice stack right now, start with the numbers at [benchmarks.speko.ai](http://benchmarks.speko.ai), then build on them at [speko.ai](http://speko.ai).",
        "url": "https://www.ycombinator.com/launches/SAF-speko-openrouter-for-voice",
        "votes": 14,
        "created_at": "2026-07-29T19:10:13.923Z"
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    "id": 32171,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "LemonLime runs fully automated sales and marketing for small businesses.\r\n\r\nEvery morning, LemonLime finds you new leads and drafts personalized outreach, prepares branded content, and identifies untapped sales & marketing opportunities.\r\n\r\nAll you have to do is click send.",
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    "team_size": 5,
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    "subindustry": "B2B",
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    "country": "US",
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      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "user_id": 3669391,
        "full_name": "Jordan Zietz",
        "title": "Founder/CEO",
        "founder_bio": "Run fully automated sales and marketing, no work required  → lemonlime.com\nFormer CEO/Founder in social, scaling and distributing consumer apps.\nThe 44th Stanford Tree – yes, the one that got suspended.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jordan-zietz",
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        "user_id": 3671976,
        "full_name": "Daniela Muñoz",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO of LemonLime, fully automated GTM for small business. \nPreviously co-founded Confetti, an AI-native social platform. Former SWE intern at Google and Microsoft. Dual BS in CS and HCI from Carnegie Mellon.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/danielamunoz12/",
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        "id": 94768,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/lemonlime/jobs/odgsmPB-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $120K",
        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 109541,
        "title": "Growth",
        "url": "https://www.ycombinator.com/companies/lemonlime/jobs/qeSCOOz-growth",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
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      {
        "id": 104861,
        "title": "LemonLime – Automate your workflows with a single click",
        "tagline": "AI that learns your business and self-creates automations, without writing a single line of code.",
        "body": "Hey everyone! We're [Jordan](https://www.linkedin.com/in/jordan-zietz/) and [Daniela](https://www.linkedin.com/in/danielamunoz12/), founders of LemonLime.\n\n**TL;DR**\n\nMost companies don't have the time or technical expertise to build custom AI automations. LemonLime connects to your existing tools, studies your business, and builds specialized automations for you — actual outcomes, fast.\n\n<https://youtu.be/aFcB1fJhPmY>\n\n**The problem**\n\nEvery small business knows they should be \"using AI,\" but almost none of them can. We learned this firsthand doing custom AI consulting for businesses. After building workflows for a handful of customers, two things immediately became obvious:\n\n1. The context AI needs to succeed is scattered — files, documents, chat threads, you name it. Searching for and organizing this information was 95% of the work, every single time.\n2. Companies don't want to spend weeks learning another complicated new tool. That's a huge ask for busy teams.\n\nSmall businesses need impact out-of-the-box, they don’t have the time or capital to spend on fancy AI initiatives that aren’t creating value from day one.\n\n**Our solution**\n\nSince company information is all over the place, we started by building the layer underneath that powers AI search and retrieval. If you’ve heard the term “company brain”, that’s what this first layer is. \n\n![uploaded image](/media/?type=post&id=104861&key=user_uploads/3669391/f4cccbb6-1c98-4e2d-a37e-0d4603f8e3e5)\n\nThen, we took it a step further.  Value from day one.  \n\nAfter your company’s unique knowledge architecture is built, users can use plain-language to deploy agents and automations that support their business without writing a single line of code.  You tell it what you want automated, LemonLime automates it.  It’s that easy.\n\nDon’t know where to start?  No worries, LemonLime handles that, too. After running deep research on your business, LemonLime automatically surfaces suggested automations that you can implement with a single click.  \n\n![uploaded image](/media/?type=post&id=104861&key=user_uploads/3669391/cdca4a15-4d2b-4807-9014-51ad700dbeb0)\n\n\n**If you’re a small business, let’s talk &lt;3**\n\nDon't have time to handle automating your sales, marketing, support, or something else? **We’ll set it up for you.** Email us at [hello@lemonlime.ai](mailto:hello@lemonlime.ai).\n\n\\\nOr, visit our website to get started: [lemonlime.ai](http://lemonlime.ai)\n\n![uploaded image](/media/?type=post&id=104861&key=user_uploads/3669391/84c1c154-5f99-4a95-82dc-d5031894ba8c)\n\n",
        "url": "https://www.ycombinator.com/launches/RHJ-lemonlime-automate-your-workflows-with-a-single-click",
        "votes": 12,
        "created_at": "2026-07-08T16:25:19.821Z"
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  },
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    "id": 32191,
    "name": "Lyon",
    "slug": "lyon",
    "former_names": [
      "Lyon (Branding TBD)"
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    "website": "https://lyon.so",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lyon builds private foundation models for banks, insurance companies, and fintechs. Each model learns from the company’s proprietary transactions, payments, clicks, and customer interactions to predict credit, fraud, collections, income, churn, and lifetime value; and runs inside the company’s cloud, so its data and intelligence remain under its control. Lyon is already working with a major insurer and trained a model on 28B transactions for a fintech serving tens of millions of active users, identifying premium-card converters 4x more precisely than its existing rules; the model is now being deployed for credit.",
    "one_liner": "Foundation models on enterprise transaction data.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1786694987,
    "tags": [
      "Machine Learning",
      "Finance",
      "Data Science",
      "Big Data"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
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      "Analytics"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/lyon",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/lyon.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lyon-ai/",
    "x_url": "https://x.com/gabrielnoya7",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 1690305,
        "full_name": "Gabriel Noya",
        "title": "Founder/CEO",
        "founder_bio": "Stanford EE and CS 26'",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gabriel-noya",
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    "id": 32198,
    "name": "Riften",
    "slug": "riften",
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    "website": "https://riften.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Riften builds model routing, evaluations, private models, and training environments for AI labs, AI-native companies, and enterprises.\r\n\r\nWe help teams choose models for their workloads, evaluate how they perform, and build private models around company-specific work. We’re also developing coding environments where agents learn through backend engineering tasks.",
    "one_liner": "Earned intelligence for every company",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1785872995,
    "tags": [
      "Developer Tools",
      "Reinforcement Learning",
      "Infrastructure",
      "AI"
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    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/riften",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/riften.json",
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/riftenai/",
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    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
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    "founders": [
      {
        "user_id": 2941426,
        "full_name": "Carl Stauffer",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of Riften. Former Palantir Forward Deployed Engineer. Former nuclear researcher at Jefferson Lab. CS and AMS at Johns Hopkins.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/carl-stauffer-314335262/",
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      {
        "id": 110330,
        "title": "Riften: Route every AI request. Build the models your company owns.",
        "tagline": "Cut LLM spend with one endpoint that selects the lowest-cost model that works.",
        "body": "[Riften Launch Video](https://youtu.be/9T82XHysqsc)\n\n## What Riften does\n\nRiften is an OpenAI- and Anthropic-compatible gateway that routes each LLM request to the lowest-cost model capable of completing it.\n\nConnect your existing providers, change the base URL, and keep the product you already built. Riften works across customer-facing AI products and internal tools, including Claude Code and Codex.\n\n**Riften is already removing enterprise-scale model spend from production workloads.**\n\n## Why we built it\n\nMost AI products choose a model once and send nearly everything to it.\n\nA documentation lookup, a support classification, and a codebase migration do not require the same intelligence. Yet they are routinely sent to the same frontier model at the same price.\n\nFor customer-facing products, that cost cuts directly into gross margin. For internal agents, it limits how broadly the company can deploy them.\n\n## How it works\n\nRiften evaluates each request locally, applies the company’s cost, capability, latency, and reliability constraints, and selects among the models available to that organization.\n\nHard tasks can still reach frontier models. Routine work moves to lower-cost commercial or open-weight models. Teams can keep their provider accounts, pin a specific model when needed, and inspect the cost and routing decision behind every request.\n\nThe objective is not the cheapest token. It is the lowest expected cost of completing the work.\n\n## From routing to company-owned models\n\nThe router reveals which work is repeated. Outcomes reveal whether it was done correctly.\n\nA passing test, an accepted patch, a resolved ticket, or a completed workflow can become part of a customer-specific evaluation. Riften uses those evaluations to improve routing, post-train open models around recurring work, and test those models against the APIs they are intended to replace.\n\nModels earn production traffic through the same endpoint. Frontier APIs continue to handle novel work. Repeated workloads move onto models the company controls.\n\nThat creates a direct path from inference routing to evaluation, post-training, deployment, and the applications where the work happens.\n\nThe model labs are building intelligence every company can rent. Riften is building the path to intelligence every company can own.\n\n## Team\n\nRiften is founded by Carl Stauffer, a former Palantir Forward Deployed Engineer who shipped software into the purchasing and production systems of a nine-figure manufacturer. He was Palantir’s first Neurodivergent Fellow through Alex Karp’s program, conducted nuclear research at Jefferson Lab, studied computer science and applied mathematics at Johns Hopkins, and is an a16z Scout.\n\nThe rest of the team comes from Stanford Mathematics, Berkeley computer science, and Carnegie Mellon mathematics and computer science. Their work spans Oxford OATML, SPAR, CMU CyLab, Palo Alto Networks, Millennium, Amazon Search, NASA, UCSF Health, and industrial manufacturing systems.\n\nThey have built agent orchestration platforms, LLM evaluation and fine-tuning systems, cryptographic security software, production search infrastructure, CAD-matching systems, and autonomous QA for measuring agent performance. Their research includes an ICML acceptance and current work in review at NeurIPS.\n\nThe team also brings national-level recognition in mathematics and technical research spanning manufacturing, computational science, and new energy systems.\n\nRiften combines enterprise deployment, frontier evaluation research, competitive mathematics, agent systems, security, and production ML in one team built for the full path from request to outcome to model.\n\n## The ask\n\n**We are looking for companies with meaningful LLM usage across customer-facing products or internal agents.**\n\nIf most of your traffic still runs through one frontier model, send us:\n\n* Your current default model\n* Whether the traffic is internal or customer-facing\n* Your approximate monthly model spend or volume\n\nWe will show you what should remain on the frontier, what can move today, and whether Riften is worth testing.\n\nEmail us at [info@riften.ai](mailto:info@riften.ai).",
        "url": "https://www.ycombinator.com/launches/ShW-riften-route-every-ai-request-build-the-models-your-company-owns",
        "votes": 11,
        "created_at": "2026-08-17T15:12:03.010Z"
      }
    ]
  },
  {
    "id": 32200,
    "name": "Bizmark",
    "slug": "bizmark",
    "former_names": [
      "LeanLog"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee2b3b896d33b5af63938bfada70f7377592ac49.png",
    "website": "https://bizmark.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hey YC! We're Bizmark. I (Rodrigo) grew up in a factory, watching my mum run everything through Excel and email.\r\n\r\nThat’s why we’ve built Otto, the OpenClaw for manufacturers.\r\n\r\nIn a few days, he learns from your systems and spreadsheets to take over repetitive work in procurement, quoting, and production planning. \r\n\r\nOtto is live at multiple factories, bringing in $108k in annual recurring revenue. Last month, he worked the equivalent of 9 full-time employees.\r\n\r\nI did CS at UChicago and built a distribution business from 0 to $60M.\r\n\r\nMy cousin and cofounder Oscar did CS at Stanford and deployed AI for the US Air Force, Amazon, and the factories of Johnson & Johnson and Intel.\r\n\r\nThere's a quarter of a million manufacturers in the US, making this a $25B market.\r\n\r\nIn 5 years, they will all run on Otto-pilot.",
    "one_liner": "OpenClaw for manufacturers",
    "team_size": 2,
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    "subindustry": "B2B",
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        "full_name": "Rodrigo Mosqueira",
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        "full_name": "Oscar Aguilar",
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        "founder_bio": "I've implemented machine learning and optimization at Intel, Amazon, and J&J, and deployed AI for the Department of War. Studied operations Research at Stanford and Georgia Tech.",
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      {
        "id": 107941,
        "title": "Bizmark – Transforming physical industries",
        "tagline": "The operating system for companies that make, move, or sell physical goods",
        "body": "[Bizmark Launch](https://youtu.be/-5g3wv2OE2g)\n\nHey everyone, we're Rodrigo and Oscar, founders of Bizmark (S26).\n\n**TL;DR:** Bizmark is the operating system for companies that make, move, or sell physical goods. It connects the systems, spreadsheets, and knowledge a company already has, and turns them into optimized decisions and automated workflows: quotes priced in seconds, schedules that reflow when a machine goes down, inventory balanced between service levels and cash. Bizmark adapts to how each company operates, not the other way around. Working product in weeks, not years. Some of the most innovative American companies use Bizmark to transform their operations. Ask: intros to decision makers at manufacturers, distributors, and retailers.\n\n**The problem**\n\n> _“Quotes take too long, so I lose revenue. Or I quote too fast and give away margin.”_\n\n> _“Days of inventory are critical for my business, but I’m not sure I’m buying the right quantities at the right time, or getting the best supplier terms.”_\n\n> _“An urgent order comes in and I do not know what to run next. I’m hitting max capacity constantly, but I’m not sure I’m using my equipment and labor in the most efficient way.”_\n\nAfter 150 of these conversations, we've realized these problems share the same cause. Legacy ERPs force operators into templates that don’t reflect how the business runs, while custom implementations often run to years and seven-figure budgets. As a result, decisions that directly affect revenue, margins, and service levels are made from spreadsheets, delayed reports, and fragmented tools, with less information than the company has, often by whoever is closest, not whoever knows best.\n\n**What we built**\n\nBizmark is the operating system for companies that make, move, or sell physical goods. It connects the systems, spreadsheets, and knowledge a company already has, and turns them into optimized decisions and automated workflows. Bizmark adapts to how each company operates, not the other way around. And customers get a working product in weeks, not years.\n\n**Here’s how some of the most innovative American companies use Bizmark to transform their operations:**\n\nA spec-heavy RFQ lands in the inbox. Bizmark reads it, and a quoting engine prices it against inventory, capacity, and customer history. It returns a customer-ready quote in seconds. The team approves it, it goes out, and when the customer says yes, the order enters the system without any retyping.\n\nThen the order runs. Bizmark schedules it into your machines and crews against your objectives, using the same estimates the quote was priced on. When a machine goes down or a rush order lands, the plan reflows and the new sequence reaches the queues that run the operation. The job runs, passes quality, and ships.\n\nThe order drew down inventory. Bizmark forecasts what you will sell next, holds your days of inventory in balance – enough for minimum service levels while protecting cash – and decides what to buy, when, and from whom. It sends RFQs to qualified suppliers and compares what comes back. The team chooses, and the PO books straight into the system.\n\n**Who we are**\n\nWe’re cousins who love seeing how things get built in the real world.\n\nRodrigo grew one of the largest e-commerce logistics startups in Brazil from zero to $60M in revenue running 100k orders/month across 10k SKUs as the first employee. Prev. CS at UChicago, MBA from Chicago Booth.\n\nOscar led process optimization at Intel, Amazon, and J&amp;J, and deployed AI for the U.S. government. Prev. Operations Research at Stanford and Georgia Tech.\n\n**Ask**\n\nIntros to decision makers at manufacturers, distributors, and retailers.",
        "url": "https://www.ycombinator.com/launches/S4z-bizmark-transforming-physical-industries",
        "votes": 8,
        "created_at": "2026-07-28T17:50:56.018Z"
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    "id": 32201,
    "name": "Mosaic",
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    "website": "https://mosaic.inc",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mosaic gives teams and their coding agents shared memory across every session, so everyone can understand what happened, why decisions were made, and pick up where someone else left off.\r\n\r\nWe started as a real-time coding environment where multiple people and their agents can work together live. It went viral, defined the multiplayer AI category, and inspired frontier labs like Anthropic.\r\n\r\nTogether, we’re building the infrastructure for people and agents to share context and work together.",
    "one_liner": "Defining the frontier of multiplayer AI.",
    "team_size": 2,
    "industry": "B2B",
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        "full_name": "Shubham Patil",
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        "is_active": true,
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        "full_name": "Dorsa Rohani",
        "title": "Founder",
        "founder_bio": "Co-Founder @ Mosaic | NVIDIA, University of Toronto",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dorsarohani/",
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      {
        "id": 111682,
        "title": "Mosaic — Shared memory for your team's agents",
        "tagline": "Sync all your teams' AI agent sessions, in one place.",
        "body": "**TL;DR**\n\nYour team is running dozens of agents and not one of them knows what the others did. [Mosaic](https://mosaic.inc/) syncs every AI session your team runs - Claude Code, Codex, Cursor and more - into one shared place that any agent can use. \\~2,000 installs and 37 orgs actively syncing.\\\n\\\nIt started as a real-time coding environment where multiple people and their agents work together. We [**went viral**](https://x.com/dorsa_rohani/status/2074963064231952832?s=20), defined the multiplayer AI category, and this direction has since taken off: YC added multiplayer AI to its Request for Startups, and [Anthropic is validating](https://x.com/ClaudeDevs/status/2085817074816070014) the same direction. Then we took the feature users found most valuable — centralized agent sessions — and built the product around it, continuing to lead the category ever since.\\\n\\\nIDE Demo: <https://youtu.be/SQywbNRe2xk>\\\n\\\nAgent session sync demo: <https://youtu.be/QVzn-1vzpsY>\n\n### **The problem**\n\nEvery coding agent session starts from zero. No memory of what happened last session, why a decision was made, or where the last person stopped. Agents run in isolation, so the only handoff between them is ad-hoc glue that breaks the moment a team adds more agents. Teammates constantly redo work they can't see.\n\n**Mosaic** keeps the record of every agent session — what was tried, what changed, and why — and carries it from one session and one teammate to the next. Any teammate or agent picks up exactly where someone else left off instead of starting over.\n\nAs a whole, we believe the way people are thinking about multi-agent systems is wrong, and our direction is being validated in real time. Most systems copy the human org chart — specialized agents passing messages — but that structure only exists because humans can't share memory; the real unit isn't the agent, it's one shared context store every agent reads from and writes to. [Read our memo here](https://mosaic.inc/blog/memo).\n\n![uploaded image](/media/?type=post&id=111682&key=user_uploads/2918134/f7913654-964e-4579-9f66-45d531e3b009)\n\n### Who we are\n\nWe're two engineers who built and deployed multi-agent systems and hit this exact wall every time.\n\n\\- **Dorsa:** worked on frontier ML @ NVIDIA, Tenstorrent and Deep Genomics. A Transformer implementation of hers has [2,400+ stars](https://github.com/DorsaRoh/Machine-Learning) on Github. 11-time hackathon winner and one of Major League Hacking’s youngest [Top 50 Hackers](https://top.mlh.com/2023/profiles/dorsa-rohani) out of 150,000+ hackers worldwide.\n\n\\- **Shubham:** founding engineer @ Beem building multi-agent systems that reason over human intent. A serial hacker at heart, he reverse-engineered 70 campus kiosks at UCSD and chained their compute into a working distributed cloud platform.\n\n### **Our ask**\n\n* **Run multiple coding agents on your team? Try Mosaic and tell us what breaks!**\n* **Intros** to engineering teams where every developer already runs their own agent.\n* Reach us directly: [contact@mosaic.inc](https://mosaic.inc/)\n\nWe built Mosaic because we kept facing this problem ourselves. If you're living it too, we'd love to hear from you.",
        "url": "https://www.ycombinator.com/launches/T3K-mosaic-shared-memory-for-your-team-s-agents",
        "votes": 9,
        "created_at": "2026-08-24T14:30:00.125Z"
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    "id": 32202,
    "name": "Dialogus",
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      "name": "Ankit Gupta",
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        "user_id": 3398179,
        "full_name": "Juberth Rodriguez",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Dialogus \n",
        "is_active": true,
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      {
        "user_id": 1603180,
        "full_name": "Hans Ibarra",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Dialogus | Ex-Google @ Gemini, Gmail and Youtube\n\nPapa Johns, KFC and Totalplay as customers",
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        "user_id": 3047141,
        "full_name": "Rodrigo Terán",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Dialogus | Ex-Google, Meta | Math & Physics Olympiad",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rodrigoteranhdz",
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      {
        "id": 107329,
        "title": "Dialogus: Building the infra for enterprise voice agents",
        "tagline": "Infra for enterprise voice agents",
        "body": "Every year, enterprises spend billions of dollars operating contact centers. They struggle with high labor costs, long wait times, inconsistent customer experiences, and the challenge of hiring and retaining thousands of agents.\n\nMost AI voice products try to automate individual phone calls. We believe the real opportunity is much bigger: rebuilding the contact center itself.\n\nDialogus replaces traditional contact center operations with AI voice agents that can answer calls, resolve customer requests end-to-end, integrate with enterprise systems, and scale across hundreds of locations while maintaining a consistent customer experience.\n\nToday, Dialogus is already powering AI voice operations for Fortune 500 enterprises, handling thousands of customer calls in production.\n\nThe company was founded by Rodrigo Teran, Hans Ibarra, and Juberth Rodriguez after seeing how legacy contact center software wasn't built for the AI era. Instead of layering AI on top of decades-old infrastructure, they're building an AI-native contact center from the ground up.\n\nIf you're an enterprise looking to transform your customer support with AI, we'd love to talk.\n\n<https://youtu.be/Yh0SGq-HgQo>",
        "url": "https://www.ycombinator.com/launches/Rv7-dialogus-building-the-infra-for-enterprise-voice-agents",
        "votes": 10,
        "created_at": "2026-07-24T18:40:56.654Z"
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  {
    "id": 32206,
    "name": "DeepReach Inc.",
    "slug": "deepreach-inc",
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    "website": "http://www.deepreach.ai",
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    "long_description": "Physical AI — robots and world models — is bottlenecked on one thing: diverse,\r\nreal-world data at massive scale showing how humans actually do work in the\r\nphysical world. It was never written down, and you can't buy it, because no one\r\nhas ever captured it. Only real local experts, the people who do this work every\r\nday, can produce data this authentic and valuable.\r\n\r\nDeepReach builds the network that reaches them. We design and manufacture\r\nwearable stereo capture devices, then place them with local data partners who\r\nrun collection as their own business — in warehouses, workshops, farms, kitchens\r\nand repair shops. They own the local relationships; we supply the hardware, the\r\nsoftware platform, the quality pipeline and the payments. Anyone can run a data\r\nbusiness.\r\n\r\nThat structure is what produces diversity. Instead of thousands of hours inside\r\none environment, we deliver hours spread across thousands of environments —\r\nwhich is what actually makes robot policies generalize.\r\n\r\n475 devices in the field and 100+ data partners are live across 7 countries, adding new\r\npartners every week. They've collected nearly 150,000 clips in the past three\r\nmonths, with volume roughly doubling month over month. Our data is in production\r\nwith multiple frontier model and robotics companies, and we're scaling to\r\n10,000+ devices across 50 countries.",
    "one_liner": "Network for Physical AI Data Business",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1786563914,
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Chris and I are from the same hometown and have known each other for ten years, long before either of us thought about robots.\r\n\r\nIn that time I built two companies around the same problem: how do you organize people you'll never meet, in places you'll never visit, to do consistent work? The first was HireIO, a cross-border staffing platform out of Silicon Valley. The second was Talex, an expert network for LLM data annotation — around 70,000 people across ten countries. Chris went the other direction: a CS PhD at USC in computer vision, ML infrastructure at Meta, then founding ML engineer at Aven.\r\n\r\nRunning an annotation network for language models, I kept hitting the same wall from the supply side. Text was running out, and the next generation of models wasn't going to learn from the internet. It was going to learn from the physical world — and nobody had captured it. What a warehouse picker, a line cook or a phone repair technician knows is real expertise, and none of it was ever written down. You can't buy that data, because it doesn't exist yet. Chris was hitting the same wall from the model side, watching what was missing from training sets.\r\n\r\nThe default answer at the time was to put a lab in one city and record thousands of hours in the same room. That produces volume, not diversity, and robot policies don't generalize from volume. What the models needed was the opposite shape: a few hours each from thousands of different real workplaces, all over the world. Which meant the bottleneck wasn't an AI problem. It was a distributed human network problem — reaching thousands of ordinary businesses across dozens of countries, and giving the people already working in them a reason to capture what they do. That was the problem I'd spent two companies learning to solve.\r\n\r\nWe started DeepReach in 2025. Chris owns perception and the data engine; I own the network, hardware operations and the commercial side. Ten years of knowing each other means we skipped most of the negotiation that takes co-founders their first year."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Core problem: robot models can't generalize, because the data they learn from all looks the same.\r\n\r\nPhysical AI needs to see how work actually happens — a mechanic torquing a bolt, a baker shaping dough, a technician opening a phone. None of it was ever written down. The internet captured what people say about the world; it never captured how people act in it. So unlike language models, this generation can't be trained on scraped text. Every hour has to be collected on purpose. \r\n\r\nToday the field has roughly tens of thousands of hours of this data against a need estimated in the hundreds of millions. But the gap isn't really a volume gap. It's a diversity gap. The standard approach is to build a lab, hire operators, and record for months in one controlled space. That yields thousands of hours that all look alike, and a policy trained on it fails the moment the lighting, the counter height, or the tool changes. Our customers' acceptance specs now reflect this directly: they cap how much of a delivery can come from any single environment type, and reject batches that are too concentrated. Diversity is the binding constraint, and it's now contractual.\r\n\r\nDiversity is hard for an economic reason, not a technical one. Collecting one hour each from a thousand real workplaces means negotiating access to a thousand real businesses — each with an owner who has no reason to let a stranger film their operation, in a country where you have no presence. That cost is why everyone else builds the lab instead. It's a distribution problem wearing an AI problem's clothes. \\\r\n\\\r\nThat's why we built the company as a network rather than an operation. The people who already work in those places, and already have the trust and the access, run collection as their own local business. We give them the hardware, the software and the payments. Access stops being something we buy and becomes something the network already has. \\\r\n\\\r\nI decided to work on this from the supply side. I'd spent two companies building cross-border human networks — a staffing platform, then a 70,000-person annotation network across ten countries — and kept watching demand arrive for data that no existing structure could produce. The bottleneck was never the model. It was that nobody had built the network that reaches the physical world."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "The long-term vision is a network that can reach any workplace on earth, and a record of how human work is actually done.\r\n\r\nConcretely: 10,000+ devices, 50 countries, one million commercial scenes, ten million task types. Every deployment adds to what we call the Human Skill Library — a permanent record of how people do physical work, built from the inside by the people who do it. Much of this knowledge exists nowhere else. It lives in the hands of a mechanic who has been doing the job for thirty years, and when he retires it's gone. Text and video on the internet captured what people say about work. Nobody has captured the work. \r\n\r\n\\\r\nIf we succeed, two things are different：\\\r\nFirst, robots stop being confined to the places that can afford to build around them. Today automation only pays at Amazon scale — a facility large enough to redesign itself for the machine. That's a rounding error of the world's actual workplaces. A policy trained on a million real environments doesn't need the environment to change; it works in a repair shop with bad lighting and a counter at the wrong height. That's the difference between robotics as a capability the largest companies buy and robotics as infrastructure a small business can use.\\\r\nSecond, the people whose work teaches these models are inside the economy that results. The last generation of AI was trained on data scraped from people who were never asked and never paid. This one has to be collected on purpose, from real workers in real workplaces, which means it can be built the other way — as something people opt into and earn from. We already have data partners in ten countries running this as a business they own. At 10,000 operators that isn't a side effect of how we source data. It's the point."
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      {
        "id": 110389,
        "title": "DeepReach: Launch a real-world data business today",
        "tagline": "Multi-million-dollar contracts secured with frontier AI labs — and growing",
        "body": "**TL;DR:** DeepReach is a global data network that equips local entrepreneurs with wearable devices to capture the real-world operation data for Physical AI training. By decentralizing collections across thousands of entrepreneurs who have access to local businesses, they provide high-diversity training data that cannot be accessed elsewhere. DeepReach already signed multiple-million-dollar contracts with frontier AI labs.\\\n\\\n**DeepReach is building a global network for real-world human data to train Physical AI.**\n\nWe enable local entrepreneurs to operate data-collection businesses using our wearable capture devices, while we provide the hardware, software, QA, and customers.\n\nThe result is a distributed network that produces the diverse human demonstrations Physical AI labs cannot obtain anywhere else. Every new data partner expands the diversity and value of the network.\n\nIn just three months, DeepReach has helped **150+ entrepreneurs** build data businesses employing **1,000+ local experts** across **7 countries**. Together, they’ve collected **500,000+ real-world operation clips**, captured **150,000+ professional skill demonstrations**, and secured **several million dollars in customer contracts** with frontier AI labs and robotics companies.\n\n▶ **Watch how it works:** <https://youtu.be/q5mLwju5Q8U?si=CT3FHbNJaIteNXZD>\n\n---\n\n# **The Problem**\n\nFrontier AI is already learning from the physical world.\n\nThe challenge is no longer collecting data, it’s collecting **diverse** real-world data at scale.\n\nMost companies solve this by building collection labs or hiring workers directly. Both approaches scale headcount, but neither scales access. The hardest part is reaching millions of real workplaces across different industries, countries, and working conditions.\n\nWithout that diversity, AI struggles to generalize beyond a small number of controlled environments.\n\n---\n\n# **What We Built**\n\nInstead of building another data collection company, **we built a platform where entrepreneurs launch independent real-world data businesses.**\n\nDeepReach provides the wearable devices, software platform, quality infrastructure, customer demand, operational support, and payments. **Entrepreneurs build and grow the businesses.**\n\nThey recruit local experts, develop trusted relationships with local businesses, and continuously expand into new industries, communities, and real-world environments.\n\n**Every new business expands the platform’s reach into the physical world, creating access to places, people, and skills that centralized data collection simply can’t reach.**\n\nThe result isn’t a larger workforce, it’s **a growing ecosystem of independent data businesses** that continuously expands the world’s supply of diverse real-world data for Physical AI.\n\n---\n\n# **Where We Are**\n\nIn just three months:\n\n* **150+ entrepreneurs** have launched data businesses on DeepReach\n* Those businesses now employ **1,000+ local experts** across **7 countries**\n* **500,000+ real-world operation clips** collected\n* **150,000+ professional skill demonstrations** captured\n* **Several million dollars in signed customer contracts** with frontier AI labs and robotics companies\n* Scaling toward **10,000+ devices** across **20 countries**\n\n# **Where This Goes**\n\nOur model is simple: labs list the tasks and environments they need, our entrepreneurs pick up the orders and go record them, and every delivery makes the network more capable of fulfilling the next one. It also compounds into something bigger, what we call the **Human Skill Library**: a growing record of how people interact with the physical world.\n\nMost of this knowledge has never been documented. It lives in the hands of experienced workers, passed down through practice rather than words, and it often disappears when they retire.\n\nOur vision is to preserve and scale humanity's physical knowledge, so every AI system can learn from the collective experience of human work.\n\n# **About Us**\n\n\\\nTim built HireIO into a leading global workforce company with 15 millions in annual revenue, then founded [Talex.ai](http://Talex.ai), an AI-powered expert network, before starting DeepReach. Chris comes from a computer vision background. We discovered the problem firsthand while labeling data for robotics startups: the real bottleneck wasn’t annotation, it was capturing diverse real-world human skills at scale.\n\n![uploaded image](/media/?type=post&id=110389&key=user_uploads/1294315/9bb8c293-ab57-42aa-b756-58562e546b78)\n\n---\n\n# **How You Can Help**\n\nIf you’re building frontier AI systems and need more diverse real-world data, we’d love to talk.\n\nIf you’re an entrepreneur interested in building a real-world data business, applications are open here: [www.deepreach.ai/join](https://www.deepreach.ai/join)\n\nTim Li\\\nFounder &amp; CEO, DeepReach AI\n\n[**tim.li@deepreach.ai**](mailto:tim.li@deepreach.ai)",
        "url": "https://www.ycombinator.com/launches/SiT-deepreach-launch-a-real-world-data-business-today",
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        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/VHrbq7B-founding-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$150K - $250K",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/zQZFaPA-founding-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/HE1Omqf-founding-sales-europe",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
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      {
        "id": 108339,
        "title": "COACH: The AI coach for in-person sales reps",
        "tagline": "Make every rep sell like your best one: door-to-door, in-home, showroom.",
        "body": "Hey everyone, we're Mathieu, Thomas and Nicolas, two brothers and a best friend building COACH.\n\n**TL;DR:** We're building the best coach for in-person sales ever built: reps record every in-person meeting from our app, and our AI turns it into precise, personalized coaching. And it works so well that 5 months in, thousands of reps already run on COACH, and we're live with the top 5 in-person sales companies in France, lifting conversion rates by 32% on average.\n\n<https://www.youtube.com/watch?v=yJB7wC3ddTM>\n\n## The Problem\n\n85% of sales in the world happen face-to-face. And in-person selling is brutally hard: a rep alone in someone's living room, reading signals, handling doubts, feeling the exact moment to push.\n\nThe best reps catch what no playbook can teach. That's why 20% of them bring in 80% of the revenue, and nobody knows what they're doing differently. The only way to find out is to physically be there: a ride-along, a full day, 100 km of driving to watch a single meeting. It doesn't scale.\n\n## The Solution\n\nCOACH's AI learns how to close customers for your business, and closes the gap at every layer of the sales org:\n\n* **Every rep gets a personal coach:** they record every in-person meeting from our mobile app, in-home, showroom, door-to-door, and walk out of each one with personal, precise feedback and a clear path to the next close. Our AI learns from your top 20% and coaches everyone to perform like them, starting each day with a morning brief on their weakest point. 90% improve on it in their first week.\n* **The company gets a sales brain that learns how to close its customers:** every meeting feeds it. Why is one region closing twice as much as another? Which objection is killing deals this month? Leadership just asks, COACH has the answer.\n\nThousands of reps already run on COACH, live with the top 5 in-person sales companies in France, where we've lifted conversion rates by 32% on average, and dozens of reps 3–4×'d their numbers. We're now growing fast in the USA, where our first customers are switching from virtual ride-along platforms to COACH.\n\nEvery rep gets a coach. Your company gets a brain.\n\n## The Team\n\nAt 18 and 21, we built Alsace Test: a 44-rep field sales team that did €3.5M in 14 months. Alsace made us fall in love with in-person sales, obsessed, actually.\n\nAnd one thing was driving us crazy: same product, same material, same training, and one guy closed 4× more than the others. We were driving 2,000 km a week just to watch reps sell.\n\nSo we asked them to record themselves. Suddenly, without moving, we were listening to 10 hours of meetings a day. That was COACH before COACH.\n\nIn an AI-driven sales world, we're deeply convinced Zoom sales and call centers will soon be replaced by AI agents. Face-to-face selling will be the last human job on Earth. We're betting on it.\n\n## Our Ask\n\nIf you run 5+ field sales reps, let's talk, we'll show you how to make them superhuman.\n\n* **Book a demo:** [Calendly](https://calendly.com/mathieu-perez-ai-coach/nouvelle-reunion)\n* **Email me:** [mathieu@getcoach.com](mailto:mathieu@getcoach.com)\n* **Text/call me:** +1 628-358-7470",
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        "votes": 51,
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        "full_name": "Arjun Chaliha",
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        "location": "New York, NY, US",
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        "title": "Marble: The autonomous back-of-house for restaurants",
        "tagline": "Marble uses computer vision and voice AI to count inventory in minutes and a collection of AI agents that run inventory and labor management on autopilot.",
        "body": "Hey YC! We’re Arjun and Aakar, and we’re launching Marble (previously Truffle), the first AI-native operating system for the restaurant back-of-house.\n\n**TL;DR:** We help restaurants control their two biggest costs, inventory and labor—saving them thousands of dollars per month in food waste, stockouts, and labor overage. We replace today's patchwork of disconnected point solutions, spreadsheets and clipboards with a single, easy to use system that actually does the work. We use computer vision and voice AI to count inventory 90% faster than manual counts, ML models to forecast item-level demand with 97% accuracy, and AI agents that run dozens of end-to-end workflows autonomously, including ordering, invoice reconciliation, scheduling, food prep, menu engineering, and more.\n\n**The result**: We're live and scaling rapidly across multi-unit operations in the US and Canada. You can find us today in A&amp;W Restaurants, The Kati Roll Company, Sophie’s Cuban, Kokomo NYC, HolyShred, Dead Letter No. 9 and many more. We’ve driven a 40% reduction in food waste, eliminated stockouts, and saved managers 30+ labor hours per week.\n\nCheck us out here:[ www.joinmarble.ai](http://www.joinmarble.ai)\n\n**Our ask:** If you run or know someone who runs a restaurant, café, bar, or hospitality group, we'd love to talk. You can reach us at [founders@joinmarble.com](mailto:founders@joinmarble.com).\n\n**Everyone knows someone who runs a restaurant, bar, or cafe - we’re also giving away $500 (or an Oura Ring) per referral!** [www.joinmarble.com/refer](http://www.joinmarble.com/refer) \n\n<https://youtu.be/Sbib-QYUH_Y> \n\n**The Problem**\n\nRestaurant operators face an uphill battle. Ultra-competitive markets, rising food and labor costs, unforgiving hours, and after all of it, they take home 5% in net profit (if they're lucky).\n\nA restaurant can be full all day and night, but it's the back office operations that determine whether that money hits the bottom line. Today that back office still runs on clipboards, spreadsheets, and guesswork. Inventory gets counted by hand, if at all, so no one has a real-time picture of what's actually on the shelf. Orders get placed from memory, so operators either over-buy (contributing to $150B+ in annual food waste) or under-buy and stock out on the exact items guests came for. Food prep and schedules are built on best-effort guesses, and invoices go unchecked while suppliers quietly raise prices line by line.\n\nEvery one of these is a margin decision, and every one is being made blind, leading to errors that compound every day, across every location.\n\n**The Solution**\n\nMarble runs the entire back office for restaurants. This centers around managing the two biggest cost centers (inventory and labor) and works in 4 phases:\n\n* **Capture:** Computer vision + voice AI through our mobile app allow operators to count inventory 90% faster than manual counts, with 99% accuracy. No more hours spent counting items in a walk-in freezer with a clipboard (IYKYK). Invoices and deliveries are captured the same way.\n* **Forecast:** ML models predict item-level demand for the weeks ahead at 97% accuracy. In addition to that, LLM-powered agents scan the signals a spreadsheet never sees - local events, weather, news, reservations, holidays - and adjust the forecast for what's actually happening around each location.\n* **Act:** A set of AI agents run the workflows that actually move the needle on profitability: placing optimized orders, building demand-informed prep sheets, drafting schedules, proactively tracking and flagging waste, reconciling invoices, engineering menus, and more.\n* **Learn:** This industry runs on tribal knowledge. We have built the product as a closed-loop system from day one: every count, correction, and order flows back into the platform as context that our agents carry forward, so Marble learns how each location actually runs, adapts to its patterns automatically, and gets sharper every day.\n\n![uploaded image](/media/?type=post&id=108273&key=user_uploads/1278164/1dd8a396-a754-4277-ad3b-1613bf1d4212)\n\n**Team**\n\nWe’ve been close friends for nearly 10 years, since our freshman year at Michigan, and we're having a blast taking on this industry.\n\nAakar grew up managing the back office for his family's multi-unit quick service restaurants, where he saw the problem up close. He later covered the restaurant sector as an investment banker at Goldman Sachs before leaving to lead growth at an applied-AI startup in healthcare.\n\nArjun is a second-time founder and was previously a Senior Software Engineer at Bloomberg, where he led AI/ML initiatives on the Electronic Trading team. At Bloomberg, he built out complex trading systems that processed tens of millions of dollars daily.\n\n![uploaded image](/media/?type=post&id=108273&key=user_uploads/1278164/2bab9f3a-cca8-4846-8be1-6cf2a4e38dcf)\n\n",
        "url": "https://www.ycombinator.com/launches/SAL-marble-the-autonomous-back-of-house-for-restaurants",
        "votes": 40,
        "created_at": "2026-07-30T17:31:56.143Z"
      }
    ]
  },
  {
    "id": 32226,
    "name": "Glen",
    "slug": "glen",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc11fde647ded2f52bca6ff53c7ad045f290e1ee.png",
    "website": "https://www.tryglen.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Glen is the layer that unifies every agent your company runs. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper.\r\n\r\nGlen does more. You can query the original agent behind any line of code, or search every session your org has ever run. It distills what your team does into skills and surfaces the right one automatically. Agents work multiplayer, picking up the style and context of whoever else is on the file. Transcripts are unified across Claude Code, Codex and Cursor, so you can hand a session from one to another mid-task. And Glen can also double as a company brain, from Slack, in app, or by just installing Glen on any agent.\r\n\r\nWe’re building toward a future where memory is no longer the missing piece of intelligence. A future where every agent maintains a lossless and continuous thread of institutional experience enabling the era of the compounding organization and fully unsupervised digital labour.",
    "one_liner": "Institutional Learning Layer for Every Agent in Your Company",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1781114514,
    "tags": [
      "Generative AI",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/glen",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/glen.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryglen",
    "x_url": "https://x.com/try_glen",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc11fde647ded2f52bca6ff53c7ad045f290e1ee.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 3237090,
        "full_name": "Nikos Dritsakos",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Glen. Ex Head of Special Projects (MTS) at Composio. Before that VP of Technology at FliteHouse at 22, post-acquisition of SalesBop (his first company, which he bootstrapped to acquisition for $500K in 18 months). At FliteHouse, scaled the eng team, led SOC 2 compliance, and helped grow to one of the biggest players in the voice agents for Canadian auto dealers space via exclusive partnerships across Canadian dealer associations. CS from Brock University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikos-dritsakos/",
        "x_url": "https://x.com/nikos1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb5fa61b15c1eadc35aa8dfce11f70397440ddde.jpg"
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    ],
    "jobs": [
      {
        "id": 108585,
        "title": "Founding Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/glen/jobs/QiR0kCz-founding-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $250K",
        "equity_range": "0.50% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "TypeScript"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 111187,
        "title": "Glen: A shared learning layer for all the agents in your organization",
        "tagline": "The shared learning layer for agents.",
        "body": "Hey everyone! I'm Nikos, the founder of Glen.\n\n**TL;DR**\n\nGlen is building the organizational learning and context layer for agents.\n\nEvery agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes.\\\n\\\n[https://drive.google.com/file/d/1T0CkjYfo3k3FB40_R7UPNfONO-SdgfKB](https://drive.google.com/file/d/1T0CkjYfo3k3FB40_R7UPNfONO-SdgfKB/view?usp=sharing)\n\nGlen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before.\n\nAnd Glen does more. It unifies all of your org's context: query the original agent behind any line of code, search every session your org has ever run, dynamic skill distillation, multiplayer agents, unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, and a company brain in Slack.\\\n\\\nComposio scaled usage from 2 users to org wide. Over a dozen SF startups use Glen. I’m onboarding new teams every week, email me at [nikos@tryglen.com](mailto:nikos@tryglen.com) to get set up with early access.\n\n![uploaded image](/media/?type=post&id=111187&key=user_uploads/3237090/2d8c514f-6318-491a-937e-87f1d3e32ae6)\n\n**What Glen does practically**\n\n* Relevant context injected on every prompt which steers your model to do knowledge work more efficiently saving your time, money and headaches. These injections can consist or niche knowledge unique to the repo you are working in, high level understanding of relevant sub systems, and previous approaches teammates took to similar problems. Glen surfaces the prior work that matters automatically, so tasks finish faster and cost fewer tokens with no loss in quality, because what lands in the window is the relevant work rather than more of it. You can lazy-prompt instead of retyping the same background every session. So far, internal evals show about a **29% reduction in token spend** and **21% reduction in task completion time**.\n\n  \\\n  **Also…**\n* PR review with the original context. Highlight any code in a diff and ask why it's there. Glen queries the agent session that produced it and answers from the actual trace instead of guessing from the diff.\n* Code search across every agent trace. Ask your coding agent anything about the codebase and it searches every session any agent in your org has run, so the answer comes from the work that produced the code.\n* A skill library the whole org shares. Glen distills what your team does into skills, publishes them where everyone can use them, and surfaces the right one automatically when someone hits a task it covers.\n* Multiplayer agents. You and your designer work the same deck in parallel, you on copy and them on design. Make a design edit and your agent applies the style theirs has learned. When they touch the copy, their agent writes in the voice yours was taught. Neither of you hands anything off.\n* No lock-in to a model provider. Transcripts from Claude Code, Codex, and Cursor all land in one place, and you can hand a session from one to another mid-task, with Glen converting the format so the next agent picks up exactly where the last one stopped. Your context, your skills, and your shared artifacts come with you, so moving between providers costs nothing.\n* We have a Slackbot company brain too!\n\n**Deployed org-wide at Composio**. Composio was my first design partner. It started with two users, grew to about twenty naturally as I iterated on the product, and is now used across the company. Also in use at over a dozen other companies!\n\nIn the last 30 days alone, Glen injected **10s of millions of** characters of organizational context into their agents. These injections steer the models used by these teams, giving them a competative edge that allows them to perform knowledge work better, faster, and cheaper.\n\n**My Ask**\n\nIf you are at a startup and are reading this, there's a 80% chance Glen would be a great addition to your productivity stack. Most teams run agents heavily, and if yours is tired of re-explaining meetings, Slack, tickets, conventions, and what past sessions already worked out, that's exactly what Glen removes. \\\n\\\nI'd love to chat, and I'll come to your office, or wherever you are, and set you up for a with a early access workspace before public availability. Just shoot me an email at [nikos@tryglen.com](mailto:nikos@tryglen.com)!",
        "url": "https://www.ycombinator.com/launches/SvL-glen-a-shared-learning-layer-for-all-the-agents-in-your-organization",
        "votes": 11,
        "created_at": "2026-08-20T17:30:00.860Z"
      }
    ]
  },
  {
    "id": 32227,
    "name": "Context.dev",
    "slug": "contextdev",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe20b06c889ed9f1a1b7d9b0ecf522c8e057d68b.png",
    "website": "https://context.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Context.dev gives AI agents structured data from any website through a single API.\r\n\r\nWe help developers build smarter agents & products that depend on accurate, fresh web data.\r\n\r\nIf you need structured data from the internet, you need Context.dev\r\n\r\nProud to power agentic products at Mintlify, Super, Vizzy, Klarna, and 600+ other companies. ",
    "one_liner": "We give AI agents realtime web context via API",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1780323126,
    "tags": [
      "B2B",
      "AI",
      "APIs"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/contextdev",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/contextdev.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/contextdev/",
    "x_url": "https://x.com/getcontextdev",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe20b06c889ed9f1a1b7d9b0ecf522c8e057d68b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 2538368,
        "full_name": "Yahia Bakour",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Context.dev, building the future of web context for AI.\n\nPreviously Principal SWE/Manager at Sunrun. Ex-Amazon SDE2, tech lead on tier-1 retail checkout platform.  Co-founder at StockAlarm.io (acquired), scaled to 225K+ users, 100K+ daily notifications.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yahia-bakour/",
        "x_url": "https://x.com/mynameisyahia",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b419df2397373e6789300f64b85611798b1b6f2.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 109242,
        "title": "Context.dev: Live web data API for AI agents",
        "tagline": "One API to collect, structure, and continuously refresh internet data for AI",
        "body": "Hello!\n\nYahia here, founder of [Context.dev](https://link.context.dev/yc) (YC S26).\n\n**TL;DR:** [Context.dev](https://link.context.dev/yc) turns the live web into structured data for AI agents and applications. Trusted by Mintlify, Passionfroot, Rho, and more than 400 customers.\n\nThe web was built for humans to browse, not agents to understand.\n\nOnce an AI product needs live internet data, its team often ends up maintaining browsers, proxies, crawlers, parsers, queues, retries, caches, and multiple data vendors.\n\nWe built Context.dev so that entire workflow starts with one API.\n\n<https://youtu.be/c2mVWBJmBtQ>\n\n**How it works**\n\nGive Context.dev the sources your product cares about and tell us what context you need. We collect it, structure it, and keep it current without your team building the infrastructure underneath.\n\n* Send URLs, domains, companies, websites, sitemaps, or files.\n* Get back clean Markdown, screenshots, company data, or structured JSON matching your schema.\n* Use Batches to process large workloads and Monitors to keep information current.\n* We handle the browsers, proxies, rendering, extraction, caching, retries, and queues underneath.\n\nHere’s what customers are already using it for:\n\n* **Soria** monitors hundreds of healthcare and financial sources.\n* **Murph** structures data on 2M+ foods, supplements, and tests.\n* **Mintlify** turns GitHub repositories into custom branded documentation.\n* **Executor** discovers and structures API docs across 3,000+ integrations.\n* **Dench** monitors social platforms for leads, generating $3M+ in pipeline.\n* More stories at [context.dev/customers](http://context.dev/customers)\n\nYour team builds the product. Context.dev keeps it connected to the live web.\n\n**The team**\n\nI’m Yahia Bakour, founder of[ Context.dev](https://link.context.dev/yc). Before this, I led engineering at Sunrun, worked at Amazon, and built and sold two startups.\n\nI started [Context.dev ](https://link.context.dev/yc)after watching teams repeatedly rebuild, and get stuck maintaining, the same web data infrastructure.\n\nToday, our team of 4 is building the context layer between the internet and every agent or application that needs to understand it.\n\nModels are no longer the main bottleneck for intelligent knowledge work. Context is.\n\n**Our ask to you**\n\nIf you’re building an AI product that needs internet data at scale, **please reach out**. We would love to learn what you’re building and where the existing tools fall short.\n\nYou can also try the API with 500 free credits and no credit card at [**Context.dev**](https://link.context.dev/yc)\n\nSchedule a call: <https://link.context.dev/chat>\\\nEmail: [yahia@context.dev](mailto:yahia@context.dev)",
        "url": "https://www.ycombinator.com/launches/SPy-context-dev-live-web-data-api-for-ai-agents",
        "votes": 113,
        "created_at": "2026-08-05T18:02:48.007Z"
      }
    ]
  },
  {
    "id": 32230,
    "name": "Codag",
    "slug": "codag",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a9882f0ac224b2b32ff0636a2c28986acf45c0d.png",
    "website": "https://codag.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Codag compresses tool call outputs before agents read them, which reduces token spend by  20-30% while retaining output accuracy.\r\n\r\nGovern and see analytics on agent dollars across all model providers and internal agents. \r\n ",
    "one_liner": "The AI gateway for cheaper, faster, permissioned agents.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1779593681,
    "tags": [
      "Developer Tools"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/codag",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/codag.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a9882f0ac224b2b32ff0636a2c28986acf45c0d.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 2706494,
        "full_name": "Michael Zhou",
        "title": "Founder/CEO",
        "founder_bio": "Solo @Codag. ex. @Okta, @Shopify for infrastructure. BSc in Computer Science and Neuroscience from University of Toronto. Ex. Rank 80 Challenger LoL, Rank 200 TFT",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mzxzhou/",
        "x_url": "https://x.com/michaelzixizhou",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/083c434760353beee5fa8582901b2fa08a1757c5.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 110923,
        "title": "Codag: Compression and control for agent tools",
        "tagline": "Optimize agent costs without changing how developers work.",
        "body": "Hi everyone,\n\nI’m Michael, founder of Codag.\n\n**TL;DR:** Codag compresses tool results before models read them, lowering costs and improving accuracy without changing how developers work, while providing tool usage analytics.\n\n<https://youtu.be/eJbK3SezeXA>\n\n### The problem\n\nAgents consume huge amounts of output from searches, tests, builds, logs, file trees, and APIs.\n\nA single tool result can add thousands of mostly repetitive lines to a session. The model processes that output before provider-native compaction can help. Important evidence gets buried, so the agent searches again, retries, or rereads the same data.\n\nThis makes agent sessions slower and more expensive. Companies also lack a consistent view of which tools and MCP servers agents use across Claude Code, Codex, and other harnesses.\n\n### What Codag does\n\nCodag attaches to existing agent harnesses with one setup command.\n\nIt handles each result according to the action being performed:\n\n\\- Tests preserve failures, traces, file locations, and exit status.\n\n\\- Searches preserve exact file and line references.\n\n\\- Logs preserve chronology, causal evidence, and outliers.\n\n\\- Anything omitted remains selectively retrievable.\n\nOptimized tool results are 75% smaller on average, while preserving signal.\n\nDevelopers keep working normally. Codag reduces what reaches the model before the model pays to read it.\n\nCodag also reports which tools and MCP servers agents invoke, along with tokens, model-adjusted spend, savings, reducer cost, and latency across providers. Because Codag already sits in the tool path, it becomes the natural place for companies to control which tools agents can use, under what policies, and at what cost.\n\n### Results so far\n\nMore than 90 organizations use Codag, including teams of up to 35 people. I built and sold the product solo.\n\n### Where this goes\n\nOur bet is that agent activity will grow faster than model prices fall. As companies give agents more tools, longer tasks, and production access, they will need infrastructure that reduces, measures, and controls agent tool use across every provider.\n\nCodag starts with compression. The larger opportunity is becoming the gateway through which companies understand and control how agents use tools.\n\n### The ask\n\nIf your team uses agents, check out [codag.ai](http://codag.ai), or contact me at [michael@codag.ai](mailto:michael@codag.ai)",
        "url": "https://www.ycombinator.com/launches/Sr5-codag-compression-and-control-for-agent-tools",
        "votes": 6,
        "created_at": "2026-08-16T18:44:00.099Z"
      }
    ]
  },
  {
    "id": 32253,
    "name": "Touchmark",
    "slug": "touchmark",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fac4fb7e32c7424e6eea88690415f386be2f5832.png",
    "website": "https://touchmark.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Buy tokens over a time window from the provider of your choice at a price fixed today - 10-30% off the on-demand price. If your plans change - resell your reserved capacity to another buyer.",
    "one_liner": "Market for future inference capacity",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1781312801,
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      "America / Canada"
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    "city": "San Francisco",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/brad-flora"
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        "user_id": 1998938,
        "full_name": "Ilia Bolgov",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Touchmark. Product @ Revolut, Maths @ Imperial College London.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ilia-bolgov-8683b0254",
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      {
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        "full_name": "Roman Yanushevskyi",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Touchmark. Previously 2x Quantitative Research intern at Citadel Securities, AI Engineering intern at Lovable. Math and CS graduate from the National University of Singapore. IOI gold medalist.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/roman-yanushevskyi/",
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      {
        "id": 110492,
        "title": "Touchmark: Market for future inference capacity",
        "tagline": "Buy tokens in advance with flexibility to resell unused capacity up to 30%+ off - or more for larger orders via direct quotes",
        "body": "**TL;DR:** We are building a market for future inference capacity. You buy tokens for a model over a time window from the provider of your choice at a price fixed today (up to 30% off - or more for larger orders via direct quotes). If your plans change, you will be able to resell your reserved capacity to another buyer.\n\n<https://youtu.be/nMaDr46NU5I>\n\n**Problem**\n\nToken spend is growing and it’s growing fast. Out of 100+ companies we spoke to, most are trying to cut their inference costs.\n\nReserved capacity guarantee deals provide discounts + certainty, but are negotiated bilaterally, take time, and are **hard to switch from** - as a buyer you commit by prepayment, which you lose if you switch to a different provider, or in some cases even a different model.\n\nWhat if a buyer could:\n\n1. See all possible discounted capacity deals in one place\n2. Buy with a click of a button\n3. Have an option to resell to another buyer with another click of a button\n\n**But why would model providers (sellers) want this?**\n\nIn short:\n\n1. Model providers’ goal is to maximise GPU utilization - the more information they have about future demand, the better they can allocate capacity.\n2. Selling future capacity is an excellent way to finance GPU compute - dilution-free and interest-free\n3. Extra distribution channel for enterprise buyers\n\n**What if a new model comes out but I already bought capacity for the older one?**\n\nContracts for “Best model in class” allow you to buy frontier model capacity in advance. And even if you're holding a contract on an older model when a new generation ships - far from every application needs the frontier, so you can list your capacity for resale.\n\n**What if I am a _very large_ buyer and these discounts are not enough?**\n\nWe are launching Requests for Quotes (RFQs) - as a buyer you can create a request for capacity you need and let providers bid to offer you the best price.\n\n**Team**\n\nIlia: Maths &amp; Finance @ Imperial, Product (Wealth &amp; Trading) @ Revolut\n\nRoman: CS + Math @ NUS, IOI gold, 2x Quant Research @ Citadel Securities, AI engineer @ Lovable\n\n**If you're a company buying tokens or a model provider, email us at [contact@touchmark.ai](mailto:contact@touchmark.ai) or sign up at[ https://app.touchmark.ai/signup](https://app.touchmark.ai/signup)**\n\n_Capacity transactions on Touchmark are limited to commercial producers and commercial end users in the wholesale capacity market. Sellers offer capacity to Buyers that purchase it to consume or use in connection with the Buyers' commercial operations. Some contracts are available only in the primary markets._",
        "url": "https://www.ycombinator.com/launches/Sk8-touchmark-market-for-future-inference-capacity",
        "votes": 26,
        "created_at": "2026-08-14T13:43:29.567Z"
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    "id": 32256,
    "name": "Zaplar",
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    "website": "https://zaplar.com",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Zaplar is the AI-native operating system for hotels.\r\n\r\nHotels run on legacy software and a fragmented tech stack. Zaplar replaces the entire hotel tech stack (PMS, POS, booking engine, etc) with one software that can handle hotel operations autonomously.\r\n\r\nLearn more at https://zaplar.com",
    "one_liner": "Agentic Hotel Operating System",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1784823049,
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    "year_founded": 2026,
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    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/zaplar",
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        "full_name": "Douglas Solberg",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Zaplar. Previously studied physics and mathematics at the University of Chicago. At 14, I started a web development and cinematography business, with customers including some of the biggest brand in the Nordics, and has award-winning photographs. At 18, I started a nonprofit that built 30 solar systems in Tanzania. I also had a SWE internship at Newscoop and held an internship at the Becker Friedman Institute for Economics.",
        "is_active": true,
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        "full_name": "Axel Andersson Lingbert",
        "title": "Founder/COO",
        "founder_bio": "Co-founder at Zaplar. Previously worked in consulting for banks and debt collection companies, and in hotels and restaurants, where I saw firsthand the problems Zaplar solves.\n\nMSc engineering mathematics Lund Faculty of Engineering (LTH) dropout; co-led anti-money laundering (AML) and counter-terrorist financing (CTF) group at major Swedish bank.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/axel-andersson-lingbert",
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        "full_name": "Oscar Karlstromer",
        "title": "Founder",
        "founder_bio": "Founder at Zaplar. Previously Honors List at Stockholm School of Economics (dropout); founder of the Nordic's largest non-profit for middle school academic competitions (40k students, 13-person team); worked APAC B2B sales, leading projects with accounts >$1M AUD across Sydney and Singapore.",
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        "full_name": "Jon Milles",
        "title": "Founder/CTO",
        "founder_bio": "Coding since 12 MSc computer science Lund Technical University (LTH) dropout Security Software Engineer at the largest cybersecurity firm in the Nordics at 17 part of first LTH Formula Student team to achieve autonomous driving.",
        "is_active": true,
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      {
        "id": 107463,
        "title": "Zaplar - Replacing PMS and the Hotel Tech Stack.",
        "tagline": "Replacing the fragmented hotel tech stack with one system that can understand and run hotel operations.",
        "body": "Hi everyone, we're Axel, Oscar, Jon, and Douglas, founders of Zaplar.\n\n**TL;DR:** Zaplar is an agentic hotel OS that replaces the fragmented hotel tech stack (PMS, booking engine, channel manager, POS, revenue management, housekeeping, and more) with one system built from the ground up for AI. We're eight people with backgrounds in hotel operations, engineering, AI research, and cybersecurity.\n\n![uploaded image](/media/?type=post&id=107463&key=user_uploads/3037509/c7720ef9-5a08-43eb-9631-4fefb2d239b6)\n\n**Ask:** Intros to hotel owners and operators who are unhappy with their PMS, and to executives and C-suite at hotel groups planning their next core system replacement. Details at the bottom. Reach us at [founders@zaplar.com](mailto:founders@zaplar.com).\n\n[Launch Video!](https://youtu.be/bpfJATRnYQM)\n\n## The problem\n\nIncumbents are bolting AI onto systems built for a different era. They provide a layer of AI to the end user, but the automations beneath it stay constrained. Their claim to use AI is correct. They just can't reason across the operation or automate work end to end.\n\nNo existing PMS or bolt-on solution gives hotels the architecture AI actually requires. And even if one did, a PMS alone still wouldn't automate hotel operations. It's one of as many as 15 systems a hotel runs, each built on a different architecture, each focused on one part of the operation, none able to act beyond its own boundaries.\n\nAI can't run a hotel if it can't understand the hotel.\n\nTo unlock the full potential of AI, a hotel has to run on a single system with a unified architecture: one that lets AI reason across the entire property, free of the boundaries integrations create and the context each one isolates behind them. Incumbents can't build this without replacing the foundation their business depends on, and they won't.\n\nWe arrived at this the slow way. Douglas's family has spent their careers running hotels, and we first built Zaplar to solve event bookings for them. In demo after demo, hotels were already evaluating another PMS, including ones that had just switched. Even leading vendors did not make a product hotels wanted to use.\n\n## The solution\n\nZaplar was built on this thesis from the start: the first truly AI-native operating system for hotels. It’s the path of most resistance, but the only way to do it right.\n\n![uploaded image](/media/?type=post&id=107463&key=user_uploads/3037509/5a0f8f2c-bcb0-4ebc-a3e1-e2c30c80baec)\n\nZaplar spatially maps out the entire property and its resources so that AI agents can reason across the hotel and understand how everything connects. On top of this architecture sit a PMS, POS, channel manager, booking engine, guest portal, housekeeping system, and more, with no boundaries between them. The result is an autonomous system that works in the background and completes work on its own. The system surfaces suggestions for staff to review, edit, and approve.\n\nOur goal is to be vertically integrated. Beyond deeper automation and richer context, the greatest benefit is that we can put all our effort into staying at the forefront, because we're not constrained by what anyone else is doing. Major hotel groups are starting to replace their aging systems, and we intend to be the only option on the table designed for what comes after.\n\n![uploaded image](/media/?type=post&id=107463&key=user_uploads/3037509/ad3b8b01-9f05-41f1-877e-952a35dc8e8a)\n\n## Our ask\n\n**Hotel owners and operators.** If you own or operate a hotel that is unhappy with its PMS, we would love to talk directly.\n\n**Executives and C-suite at hotel groups.** This is the intro we want most. Anyone at the VP level or above at a group, especially COOs, CIOs, CTOs, and heads of operations or commercial, and above all anyone whose group is planning a core system replacement in the next 18 months.\n\n**Everyone else.** You do not need to know their software situation to make the intro useful. We are focused on independents, small and mid-size groups, and boutique and luxury properties. If you have stayed somewhere you loved, send us the name and we will take it from there.\n\nReach us at [founders@zaplar.com](mailto:founders@zaplar.com) or learn more at [zaplar.com](http://zaplar.com).",
        "url": "https://www.ycombinator.com/launches/RxH-zaplar-replacing-pms-and-the-hotel-tech-stack",
        "votes": 20,
        "created_at": "2026-07-31T14:37:04.324Z"
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    "id": 32259,
    "name": "screenpipe",
    "slug": "screenpipe",
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    "website": "https://screenpipe.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Screenpipe records and learns how people in your company work and turns it into a searchable memory, documents, and AI agents. Model agnostic and data is stored on your device and/or where your team choose, source available.",
    "one_liner": "Turn your company's computer work into AI agents.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1783386650,
    "tags": [
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      "B2B",
      "Enterprise",
      "Enterprise Software",
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    "status": "Active",
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/screenpipe",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/screenpipe.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/screenpipe",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 716431,
        "full_name": "Louis Beaumont",
        "title": "Founder/CEO",
        "founder_bio": "Previously French intelligence (acquired) and hyperscale cloud observability at OVHCloud.\nBuilt video game bots business when I was 14. My training dataset: 150 books a year.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/louis030195/",
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    "jobs": [
      {
        "id": 103591,
        "title": "Forward Deployed Engineer (Enterprise)",
        "url": "https://www.ycombinator.com/companies/screenpipe/jobs/EudBGQb-forward-deployed-engineer-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $240K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "Rust",
          "TypeScript"
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      },
      {
        "id": 109046,
        "title": "Senior Product Manager",
        "url": "https://www.ycombinator.com/companies/screenpipe/jobs/p3C1CYI-senior-product-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$160K - $220K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111400,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/screenpipe/jobs/hT5zAor-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $240K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "Rust",
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      {
        "id": 105615,
        "title": "Screenpipe: Record how you work and turn that into agents",
        "tagline": "Record how you work and turn that into agents",
        "body": "screenpipe records what you do, see and hear on your computer, makes it searchable, and gives agents the context to understand how you actually work. The project has 20K+ GitHub stars.\n\n<https://youtu.be/c1jV6E9pyug>\n\nMost AI agents start every task with partial context.\n\nThey can read the prompt and apps you connect. They do not remember the meeting where a decision was made, the tab you opened last Tuesday, the exact steps you took to fix a problem, or the edge case you discovered while doing the work.\n\nscreenpipe runs quietly in the background and captures screen and audio context on your machine. Then you can ask:\n\n* maintain a second brain for every person, projects, tasks, meetings\n\n\n* turn the workday into a daily recap and time breakdown for standups or client billing\n* maintain a personal CRM from the people, conversations, and follow-ups seen during the day\n* find commitments mentioned in meetings or messages that never made it into a task list\n* analyze repeated work and produce a list of workflows worth automating\n* save prompts and context from Claude, Codex, and ChatGPT into a searchable journal\n\nAgents can use screenpipe as long-term memory, so they work from what actually happened instead of only what you remembered to paste into a prompt.\n\nThe same foundation also works across team machines. Teams can map repeated workflows, generate SOPs, find bottlenecks, and identify automation opportunities across the tools where work actually happens.\n\nscreenpipe is open source and local-first. You control what gets recorded, can exclude apps, windows, and URLs, and choose where your data lives.\n\nI’ve been building my own AI second brain since 2020, but it could only remember what I explicitly saved. I built screenpipe so my AI could understand what I was actually doing across my screen and conversations. Other people began using it for the same reason. Today, we’re turning that foundation into context for personal and team agents.\n\n**Our ask**\n\nTry screenpipe and comment with the agent you would build if it could remember everything you’ve worked on.\n\nTry screenpipe: <https://screenpipe.com>",
        "url": "https://www.ycombinator.com/launches/RTT-screenpipe-record-how-you-work-and-turn-that-into-agents",
        "votes": 23,
        "created_at": "2026-07-14T14:38:00.824Z"
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    "id": 32262,
    "name": "Alkera AI",
    "slug": "alkera-ai",
    "former_names": [
      "Alkera AI, Inc.",
      "Alkera AI",
      "Alkera AI, Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eecc1a49c35b3a26973c35ce53d1c3f862a058cb.png",
    "website": "https://alkera.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Alkera is a data engineering/analysis/science agent that works in your IDE or CLI. If you’re tired of agents that produce false, or even dangerous, reports about your data, then Alkera is for you. Our agent is equipped with your data’s history and lineage, your team’s knowledge, and tailored plugins for data apps such as Snowflake and dbt. Simply install and connect your services to begin doing trusted agentic data work. We also offer VPC & on-prem deployment options for when data can't leave your boundary.",
    "one_liner": "Reliable and safe data engineering and data science agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1783697969,
    "tags": [
      "Developer Tools",
      "Data Science",
      "Data Engineering",
      "Enterprise Software",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/alkera-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/alkera-ai.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/alkera-ai",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 3652826,
        "full_name": "Rick Gao",
        "title": "Founder/CEO",
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        "full_name": "Andrew Tran",
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        "founder_bio": "Cofounder at Alkera AI. Prev SWE intern at Ramp and HRT, working closely with data teams. CS B.S/M.S from Yale. Prev ML research at Yale's Gerstein Lab developing biology reasoning models.",
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      {
        "id": 106204,
        "title": "Alkera - The data agent that you can trust",
        "tagline": "Alkera is an agent that replaces your coding agent to reliably and safely perform real data engineering/analysis/science work.",
        "body": "**TL;DR:** Data teams adopting AI agents want speed, but one wrong step can quietly ripple through your dbt models, dashboards, and business decisions before anyone notices. [Alkera](https://alkera.ai) **is an AI data agent for data engineers/analysts/scientists or anyone who wants to gather data insights that actually understands your data stack** (column-level lineage, graph-based planning, and a living knowledge base), so it ships data work you can trust. It's **#1 on UC Berkeley's [DataAgentBench](https://ucbepic.github.io/DataAgentBench/),** which tests complex, data-oriented tasks.\n\n<https://www.youtube.com/watch?v=fQEVpQPYNxg>\n\nCoding agents can write data code that runs. **For data engineering, knowing it's correct is the hard part.** This is knowing that a transformation didn't quietly redefine a column three models downstream and corrupt the revenue dashboard that the exec team checks every Monday. **For data analysis and data science, beyond data access and lineage problems, coding agents struggle with highly parallel work spread across multiple machines.** When interacting with remote computing nodes, they do so only via fragile chains of SSH commands. Long processing and training runs have you more as a babysitter than a scientist.\n\n**Alkera is a data agent that works natively across your entire data stack, with the context and guardrails coding agents lack.** Every change it makes to a query, transformation, model, or notebook is backed by a real understanding of your pipeline.\n\nIt's **#1 on UC Berkeley's DataAgentBench,** which tests complex, data-oriented tasks. You reach it through an IDE extension (VSCode, Cursor), a CLI, or the browser — wherever you already work.\n\nWhat makes it different:\n\n* **Column-level lineage across your data stack.** Trace a single row from Snowflake, through your dbt models, to your Hex dashboard. Before the agent changes anything, it maps the _blast radius_ — every downstream table and dashboard the change would touch.\n* **Graph-based planning with flexible computation.** Plan complex data tasks with parallel agents from a quick analysis to days-long modeling experiments to run across your machine and remote CPU/GPU nodes.\n* **A living knowledge base.** Alkera learns your schema docs, trusted queries, and the tribal conventions that never make it into documentation — written by both agents and humans, with humans verifying what the agent adds.\n* **Production protection.** Fine-grained permissions over every tool, including bash and SQL. Block a seemingly innocent SQL query with a dangerous UPDATE hidden away in a subexpression. Enforce OAuth to connect your warehouses to maintain existing data permissions.\n\n# **Try it**\n\nDownload Alkera at <https://alkera.ai> or read the docs at <https://docs.alkera.ai>. For data engineering, point it at your stack and **watch it trace a change through your pipeline**, lighting up everything downstream. For data analysis and data science, have it **spin up parallel research agents** to explore your data. Reach out to [contact@alkera.ai](mailto:contact@alkera.ai) to see how we can tailor Alkera to your specific data apps/tools and computing environment.\n\n# **Our team**\n\n* Andrew Tran studied CS at Yale. At Yale, he trained LLMs to reason over multi-modal biological data. At Ramp and Hudson River Trading, he worked closely with data teams to build out ergonomic tooling for data engineers and researchers.\n* Rick Gao studied CS at Yale. He was previously at Verition Fund Management, where he worked with internal data teams and counterparties to develop ingestion pipelines and internal financial models.\n* Tony Li studied CS and Math at Yale. During his time at Carthage Capital and ByteDance, he worked with data engineering teams to build data pipelines, data analysis, and agentic tooling.\n\n# **Our ask**\n\nIf you:\n\n* perform data engineering work on production pipelines with tools like dbt and Apache Airflow\n* perform data analysis/data science work in Python/R and with tools like Jupyter notebooks\n* manage a data team – engineers, analysts, or scientists\n* want to enable non-data experts to create data insights\n\nCheck out <https://alkera.ai> and reach out at [contact@alkera.ai](mailto:contact@alkera.ai). We’d love to showcase a demo, learn more about your data teams’ pain points, and share more about how Alkera can help supercharge them.",
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        "created_at": "2026-07-17T18:50:58.787Z"
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    "website": "https://linklane.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "LinkLane helps businesses move freight with a click. Anyone can get a quote and book instantly, while our AI agents find the carrier, negotiate the rate, and manage every load from pickup to delivery. Trucking is a nearly $1 trillion market still run by call centers of brokers working the phones. We're bringing the Amazon experience to freight, making shipping cheaper and easier for every business.",
    "one_liner": "AI-powered freight brokerage. Quote, book, and track loads in seconds.",
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        "full_name": "Christopher Ruaño",
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    "name": "Definite",
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    "long_description": "Definite is where finance teams build everyday back-office agents on one live model of their books. We plug into your ERP, ledger, payroll, and payments read-only and compile everything into one clean model that stays current as money moves. Your back-office team then builds agents on top in plain English. We never write back and we never move money. The agents are yours, the plumbing is ours.\r\n\r\nWe met in first year computer science at Waterloo and interned at Meta, Optiver, and BitGo. At Optiver they ran an n8n hackathon and the interns automated basically nothing. It couldn't talk to the systems that mattered. When we pitched banks and fintechs on agents, they kept telling us the same thing. The agent isn't the hard part, getting clean data out of their systems is.\r\n\r\nRight now, automating anything in a back office means engineers hand-stitching data from a dozen sources in different formats on different schedules. Tools like n8n and Workato assume your data is already clean and joined. In finance it never is. So the teams with the most repetitive work and smallest budgets get nothing.\r\n\r\nThe hard part is the compiler. Every source gets cleaned, matched, and joined into one live model of transactions, invoices, vendors, and payments, and it has to stay right as money lands every day. \r\n\r\nEveryone throws engineers at this. We're doing it once so nobody has to again. Every back office is getting agents eventually. Whoever owns the data they read from owns the thing all of them depend on, and eventually the books themselves. That's what we're building.\r\n",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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        "full_name": "Gurshabd Singh Varaich",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at Definite (YC S26). Previous SWE intern at BitGo (pre-execution wallet policy and approval controls). Studied CS at UWaterloo",
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        "full_name": "Mazin Al-Ani",
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        "founder_bio": "Founder at Definite (YC S26). Previously SWE intern at Optiver (quantitative trading systems) and Boosted.ai (agentic AI platform for financial analysts). Studied CS at University of Waterloo.",
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        "full_name": "Farhan Ur Rehman",
        "title": "Founder",
        "founder_bio": "Founder at Definite (YC S26). Previous SWE at Meta (Instagram reels recommendation). Studied Statistics at University of Waterloo.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/farhan-ur-rehman/",
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        "id": 105798,
        "title": "Definite - Turn weeks of regulatory reports into hours.",
        "tagline": "The most accurate AI agents for financial reporting",
        "body": "_AI agents that run the entire regulatory reporting pipeline for banks, from raw ledger data to the filed report._\n\n**_TL;DR_**_: Definite automates regulatory reporting for banks end to end, from raw ledger data to filed report, turning weeks of manual work into hours._ [usedefinite.com](http://usedefinite.com)\n\nHey! We're Gurshabd, Mazin and Farhan from Definite.\n\n<https://www.youtube.com/watch?v=ji1ae8y_V4E>\n\n**The Problem**\n\nProving to regulators that their books follow the rules is a constant, non-negotiable obligation for banks. Each report is thousands of numbers, personally signed off by an executive. Getting it wrong can mean a **fine up to a million dollars** over a single undetected error. Producing that proof is slow, and doesn't even guarantee it's correct. \n\nHere's where the current system breaks down:\n\n1. **Wasted Hours:** A controller pulls data from the core system into Excel and maps it line by line by hand. By regulators' own estimate, one quarterly filing takes weeks of employee time, time pulled from higher-value finance work every quarter.\n2. **False Confidence:** The software banks use to file checks formatting, not truth. A loan mapped to the wrong schedule line sails through every check. Nothing catches it until an examiner does, and by then it's not a mistake, it's a violation.\n\n**The Solution**\n\n**Report agents:** We connect to your books and our agents build the reports you owe.\n\n**Verification engine:** Every number is recomputed from source records and checked against a versioned rulebook, so each line carries its rule and source data.\n\n**Self-correcting agents:** When a check fails, the agent gets the reason and fixes it in seconds. Real exceptions come to your team with a drafted explanation, not a blank error. This loop is why our agents are the most accurate in finance.\n\n**Receipts:** Every check produces a tamper-evident receipt you can hand an examiner or auditor.\n\nYour team reviews and signs instead of building.\n\n**How we got here**\n\nGurshabd worked at BitGo, a regulated crypto custodian, where attestations proving customer assets matched the ledger were built by hand every period. Farhan worked at Meta where he delved extensively into machine learning and building AI agents. Mazin saw Optiver recheck daily regulatory numbers by hand, then built LLM agents at [Boosted.ai](http://Boosted.ai) and learned finance people won't act on AI output unless every number comes with its source.\n\nThe lesson from all three: in finance, producing a number is cheap, proving it is the job. On two public reporting benchmarks, DeepSeek V3 with our verification engine outperformed GPT-5 on reconciliation accuracy (FinBalance) at roughly 50× lower cost, and beat the entire published field on XBRL calculation validation (FinAuditing).\n\n![uploaded image](/media/?type=post&id=105798&key=user_uploads/2947446/1b80714c-9a38-4d02-a037-ab05ad2c9205)\n\n**The Ask**\n\n* Work at a bank, credit union, fintech or insurer on regulatory filings? Let's talk: <https://calendly.com/usedefinite/intro>, or text me: +1 519-619-5467\n* We’d also love an intro to a VP of Finance or Engineering at your partner bank (personal or business)\n\nFollow us: [LinkedIn](https://www.linkedin.com/company/usedefinite/?viewAsMember=true), and [X](https://x.com/UseDefinite).\n\nWe'll be in the comments. [gurshabd@usedefinite.com](mailto:gurshabd@usedefinite.com)",
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        "created_at": "2026-07-15T14:05:31.123Z"
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    "long_description": "Callbook AI is a collections agency operated by AI. We collect late stage portfolios by finding, contacting and negotiating with borrowers.",
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    "industry": "B2B",
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        "full_name": "Diego Avellaneda",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Callbook AI. Applied ML researcher with two peer-reviewed publications on deep learning and embedded systems (TinyML on-device deep learning for indoor tracking; low-cost embedded sensing, Elsevier). Master's in IoT applying TinyML to real-time truck telemetry 6+ years in embedded ML. Former Senior Software Engineer at CI&T, where he built Audi's e-commerce car-purchasing platform. Second-time founder",
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        "full_name": "Daniel Martinez",
        "title": "Founder & Product",
        "founder_bio": "CTO at Callbook AI. CPO at Treble (YC S19). Leading B2B products for 5+ years. ",
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        "linkedin_url": "https://www.linkedin.com/in/daniel-martinez-b7a764164/",
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        "id": 111183,
        "title": "Callbook AI: The AI collections agency for late stage portfolios",
        "tagline": "We find hard-to-reach borrowers, understand their situation, and negotiate using AI voice, email and SMS.",
        "body": "We are a collections agency entirely run by AI.\n\nWe have found out that the most effective way to collect a portfolio is by first doing a deep research to locate and understand each person´s situation, and then negotiate with them. \n\nAs a result, we've consistently outperformed every competing collection solutions.\n\n<https://www.youtube.com/watch?v=rwVW4nApj1E>\n\nToday, we’re negotiating with 100K+ people every week. We’ve delivered historic recovery at every company we’ve worked with and won 100% of our head-to-head pilots against competing solutions.\n\nFounders **Diego** and **Daniel** bring experience across machine learning and B2B products. Diego has published two peer-reviewed papers on on-device deep learning and TinyML with Elsevier, has 6+ years of experience in embedded ML, and previously built Audi’s e-commerce platform at CI&amp;T. Daniel, former CPO and founder at Treble (YC S19), has 5+ years of experience building and leading B2B products.\n\n**Our ask**\n\nIf you know a lender (bank, fintech, BNPL, retailer, insurer). We’d love an intro. sales@callbook.ai",
        "url": "https://www.ycombinator.com/launches/SvH-callbook-ai-the-ai-collections-agency-for-late-stage-portfolios",
        "votes": 25,
        "created_at": "2026-08-19T22:00:00.902Z"
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    "id": 32319,
    "name": "Tarifflo Inc.",
    "slug": "tarifflo-inc",
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    "website": "https://www.tarifflo.com",
    "all_locations": "Salt Lake City, UT, USA",
    "long_description": "Tarifflo is the infrastructure layer for modern customs - AI-powered filing, tariff recovery, and customs intelligence on one platform.\r\n\r\nFiling should be free. Legacy ABI software charges you per entry, per user, per module. Brokers charge for every transaction. Tarifflo's filing software costs nothing - file directly with CBP under companies own filer codes.\r\n\r\nWe make money when our clients do. 1 in 8 entries has an error that overpays duty - misclassification, tariff stacking, valuation, origin. Most importers never catch them. Our AI audits your entries, finds the overpayments, and helps file for your refund. \r\n\r\nUnder both is the same engine, live tariff intelligence covering every HTS code, Chapter 99 program, exclusion, and rate change - so the duty you pay going forward is as right as the refunds we recover looking back.",
    "one_liner": "Supply chain compliance and cost savings",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1786674718,
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      "LegalTech",
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        "full_name": "Bryce Judy",
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        "founder_bio": "Founder at Tarifflo Inc. Previously Trade Analyst at KPMG US, specializing in customs classification and international tax. Licensed customs broker (CBP), data scientist",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI apps such as ChatGPT and Claude have become part of everyone's daily workflow, but they introduce new security risks that traditional security tools weren't built to handle. Security teams at companies from startups to Fortune 500s, are struggling to keep up.\r\n\r\nTraceforce gives a company’s security team visibility of how AI apps are being used across company’s devices, and the ability to detect and prevent security breaches and unsafe actions as early as possible.",
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    "team_size": 2,
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    "launched_at": 1785015608,
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        "full_name": "Xia Hua",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Traceforce. Previously Director of Engineering at Clumio, managing all flagship ransomware protection products. PhD in Applied Math from MIT.",
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        "full_name": "Varun Wadhwa",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at TraceForce. Previously Senior Software Engineer at LinkedIn, leading high-performance database systems for RAG. Before that, Staff Software Engineer at Clumio, leading distributed data infrastructure and backup. Earlier built distributed payments systems at Microsoft. BS in EECS, UC Berkeley.",
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        "id": 117100,
        "title": "Traceforce TraceGraph – Ask anything about your company's AI usage",
        "tagline": "Know where every AI token goes",
        "body": "**TL;DR:** TraceGraph turns every AI interaction in your company into a fully queryable graph linking users, apps, models, MCPs, and tokens. You can ask questions in plain English, slice the data any way you want, and build agentic workflows on top of it out of the box. Try it free at [traceforce.ai](http://www.traceforce.ai).\n\n**👋 Hi YC, we're Xia and Varun**\n\nWe're the founders of Traceforce (S26), and we're building security and visibility for AI agents running on company devices. We previously built one of the world’s most scalable cyber-resillience systems at Clumio.\n\n**🔥 The problem**\n\nAI usage is exploding, but the data about it is stuck in billing totals and static dashboards. When you want to know which team's agents are burning tokens, which MCPs get called most, or who is using AI in ways that don't fit policy, you end up exporting CSVs or waiting on someone to build a report.\n\n**🕸️ How TraceGraph works**\n\nTraceforce runs on the endpoint, so it captures AI activity across every app and agent. TraceGraph connects that activity into one graph, and that graph lets you do three things:\n\n* **Query anything.** Every user, team, app, model, MCP, and token is a connected node, so you can slice the data in any combination with no predefined dashboards.\n* **Ask in natural language.** For example: _\"Which teams' token usage doubled this month?\"_ or _\"Show Claude Code sessions that called the Supabase MCP.\"_\n* **Build agentic workflows out of the box.** Put agents on top of the graph to flag spend spikes, send weekly usage reports, or escalate risky patterns automatically.\n\n🎥 **Demo:**\n\n<https://www.youtube.com/watch?v=y5FcQI_NggA>\n\n**🙏 Our asks**\n\n* **Try it:** Install in under 5 minutes and see your team's token usage today.\n* **Intros:** Heads of engineering, IT, finance, or security leaders managing AI rollouts and spend.\n* **Feedback:** What would you ask your AI usage data? We'll show you the answer.\n\n📩  xia@traceforce.ai\n\nBook a time <https://calendly.com/d/cm7p-342-xb2/30-minute-meeting-with-xia>",
        "url": "https://www.ycombinator.com/launches/USi-traceforce-tracegraph-ask-anything-about-your-company-s-ai-usage",
        "votes": 7,
        "created_at": "2026-09-28T14:55:58.682Z"
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      {
        "id": 107460,
        "title": "Traceforce — Catch risky agent actions your security gateway will never spot",
        "tagline": "Company-wide security monitoring for AI apps",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR:** AI agents are quietly pulling secrets off your employees' laptops — and your security gateway can't see it. Traceforce installs in under 5 minutes and gives you a full inventory of every AI app, MCP, and skill running on every device, then lets you block the dangerous stuff in real time. Built by the ex-Clumio engineering team. Traceforce is already deployed on 6,000+ devices across 10+ enterprise customers, with 40+ active pilots worth $3M+ in ARR. Try it free at [www.traceforce.ai](http://www.traceforce.ai).\\\n\\\n**The incident that started this**\\\nAt our last company, an AI coding agent running on a developer's laptop scraped what looked like database credentials and pushed them straight into a public GitHub repo. It took us _weeks_ to investigate, rotate credentials, and clean up the fallout. We got lucky — they were dev-environment creds, so no customer was affected. Next time, nobody will be that lucky.\\\n\\\nThat's the whole problem with AI at work now: ChatGPT, Claude, Cursor, and Claude Code are everywhere on employee devices, wired into your data through MCPs and skills that no one is tracking. The tools your security team already owns — gateways, proxies, enterprise APIs — never see any of it, because the risky action happens _on the device_, before it ever hits the network.\\\n\\\n**Why us**\\\nWe're Xia and Varun. We ran engineering at Clumio, a cyber-resilience company acquired by Commvault in 2024, where Xia was Director of Engineering and Varun was tech lead. We've spent our careers building security infrastructure — and we validated this problem with 50+ CISOs and CIOs before writing a line of code. Every one of them said the same thing: \\_I need to see and control this without slowing my engineers down.\\_\\\n\\\n**Why on-device — and why gateways can't do this**\\\nCompetitors sit at the gateway or plug into enterprise APIs. That misses the self-adopted AI tools employees install themselves, and it can't see how an agent is actually connected to your data via MCPs. Traceforce runs on the endpoint, so we see the full picture — which AI apps are running, what MCPs and skills they're wired to, what data they can reach — and we can _warn or block_ an unsafe action the moment it happens, not after it's already on the network.\\\n\\\n**What you get**\n\n* Install in &lt;5 min. Full inventory of every AI app, MCP, and skill across your devices within 30 minutes.\n* Discover shadow AI and see exactly how each agent connects to your data sources.\n* Real-time controls: warn and block unsafe actions (like uploading a client list to a chatbot) before they happen.\n* Open-source MCP pentesting: we also built [mcp-xray](https://github.com/traceforce/mcp-xray) to dynamically detect vulnerable MCPs — try it today.\n\n\\\n**Traction**\n\n* Securing 6000+ employee devices across 10+ enterprises.\n* Customer quote from a leading database provider with over 500 employees: “To govern AI, we need full visibility into AI usage before we can place any type of controls. Traceforce gives us both visibility and control we needed”.\n* 40+ Active pilots including multiple Fortunate 500 enterprises.\n\n<https://www.youtube.com/watch?v=a0OPq8vdDV0>\\\n\\\n**Our ask**\n\n* **Intros** to security engineers, security architects, DevSecOps teams, or CISOs securing AI adoption. (We're the ex-Clumio team — that's usually enough to get a conversation.)\n* **Try Traceforce free** on your own laptop — &lt;5 min to install, and we want candid feedback, good or bad.\n* **Challenge us:** tell us which AI apps, MCPs, or workflows we should support next.\n* **Share** with anyone wrestling with security over ChatGPT, Claude, Cursor, Claude Code, or custom MCPs.",
        "url": "https://www.ycombinator.com/launches/RxE-traceforce-catch-risky-agent-actions-your-security-gateway-will-never-spot",
        "votes": 7,
        "created_at": "2026-07-28T16:50:42.184Z"
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    "id": 32484,
    "name": "EdotEnv",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "A Quant Neolab building toward RSI by leveraging markets as self-improving research environments.\r\n\r\nThey work with frontier AI labs and academic groups building research harnesses, evaluation benchmarks, and post-training environments.\r\n",
    "one_liner": "Quant Neolab building self-improving agents from quant data",
    "team_size": 2,
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        "full_name": "Rui Wang",
        "title": "Founder/CEO",
        "founder_bio": "I am Rui (\"ray\" like the fish). CEO of EdotEnv, a quant neolab teaching LLMs robust research and good research taste. We use markets as an infinite source of increasingly hard data to build environments, harnesses, and post-train models.\nBackground in quant at G-Research, prev. applied maths at ETH Zurich.",
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        "user_id": 2995240,
        "full_name": "Michael Zhang",
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        "founder_bio": "CTO at EdotEnv, a quant neolab building toward RSI.\n\nPreviously@Etched: Designed LLM Inference System for SOHU chips\nPreviously@TransmarketGroup: Built automated high-frequency option trading strategies\n\nETH Zürich Alumni",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-zhang-845204232/",
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      {
        "id": 110398,
        "title": "EdotEnv: Quant Neolab building towards RSI",
        "tagline": "We turn markets into self-improving research environments for AI agents.",
        "body": "EdotEnv (YC S26) is a Quant Neolab building toward RSI. They turn markets into self-improving research environments for AI agents.\n\nThe path to RSI is a continuous loop: agents conduct experiments, learn from the results, and autonomously become better at conducting the next round of research. For that loop to continue, each round must present a harder problem than the last.\n\nMarkets create this dynamic naturally. Every discovered inefficiency attracts competition, and every successful strategy makes future opportunities harder to find. Markets therefore provide an advancing frontier for self-improving agents.\n\nEdotEnv captures this process in multi-step environments where agents form hypotheses, design experiments, verify results and iterate. They use these environments to evaluate and post-train agents on increasingly difficult research tasks.\n\nThey work with frontier AI labs and academic groups building research harnesses, evaluation benchmarks, and post-training environments.\n\nEdotEnv's team previously worked in quantitative research at G-Research, high frequency options trading at TransMarket Group, and LLM inference research at Etched.\n\nIf you're working on RSI, RL, post-training, or AI for research, reach out to them at [info@edotenv.com](mailto:info@edotenv.com).\n\n![uploaded image](/media/?type=post&id=110398&key=user_uploads/89898/46b2eec2-b3c9-4467-b638-d9a51b2c39cd)\n\n",
        "url": "https://www.ycombinator.com/launches/Sic-edotenv-quant-neolab-building-towards-rsi",
        "votes": 5,
        "created_at": "2026-08-13T21:30:00.360Z"
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    "id": 32517,
    "name": "Standard Machines",
    "slug": "standard-machines",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build environments and evaluations to train and evaluate models on advanced chip design.",
    "one_liner": "Teaching AI to Design Chips",
    "team_size": null,
    "industry": "B2B",
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    "country": "US",
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      "name": "Ankit Gupta",
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        "full_name": "Jacob Peake",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Standard Machines. \nEx GPU Architect at Apple.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacob-peake/",
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      {
        "id": 111880,
        "title": "Standard Machines. Teaching AI to Design Advanced Chips.",
        "tagline": "Standard Machines builds environments to train and evaluate models on advanced chip design tasks. We work with frontier labs to push their model capabilities.",
        "body": "**The Idea**\n\nAdvancement in AI relies on chips. Transformers won because they mapped well to GPUs. Frontier Labs are now co-designing their own silicon to maximize intelligence/joule.\n\nIt takes years and 100s of experts to bring a chip from architecture through tape-out.\n\nOur goal as a company is to push the frontier of AI on chip design tasks - enabling advanced chips to be taped-out by small teams in months.\n\nWe also believe this is the path forward to achieving true recursive self-improvement (RSI). Where AI designs better chips and better chips train more intelligent AI.\n\nTo achieve this, we're building **RL Environments For Long-Horizon Chip Design.**\n\nOur environments enable 1000s of parallel rollouts for training on chip design tasks. We also curate a private held-out test set for performing evals in the environment to compare model capabilities.\n\n![uploaded image](/media/?type=post&id=111880&key=user_uploads/1978488/da8f5344-b2f0-4613-b8ef-5ee18a23300c)\n\n---\n\n**What Exists**\n\nChip design should be a perfect domain for this type of RL. Instead:\n\n\\- The academic benchmarks are one-shot puzzles of \\~100 lines, and they're in every training set.\n\n\\- The field's de facto standard (NVIDIA's CVDP) has saturated - going from 34% to 97% once agents could iterate against the grader.\n\n\\- The published tasks are short-horizon and graded by running testbenches. In one study, designs that passed their bundled testbenches 95-97% of the time were only \\~20% correct under formal checking.\n\nAnd none of it resembles the real loop: months of work, tools in the loop, and hard trade-offs between latency, throughput, area, and power.\n\n---\n\n**What We Build**\n\nOur RL Environment is designed for long-horizon chip design tasks.\n\n\\- **Long-horizon.** One episode is the real loop: choose a microarchitecture, write the RTL, simulate, synthesize, check timing and power, revise.\n\n\\- **Reliable grading.** Every task is an executable contract with exact checking. No LLM judge anywhere in the reward path. Correctness is a hard gate: a fast, small, wrong chip earns zero.\n\n\\- **Physics as the yardstick.** Every task ships with a computed speed-of-light bound: the best the physics of the task allows. Scores are reported as a fraction of that bound, so they're comparable across tasks.\n\n\\- **The full trade-off.** Real chips are trade-offs. We record area, power, latency, and throughput as an unreduced vector - labs can scalarize this into a terminal reward for training however they want.\n\n\\- **Deterministic.** Every graded result replays bit-identically on another machine.\n\n---\n\n**Why Now**\n\nChip Design is increasingly something the frontier labs care about. They are all designing their own custom inference chips. Anthropic is already hiring chip-design RL engineers at $500-850k to build these types of environments in-house - and there’s currently no yardstick that hasn’t been saturated.\n\n---\n\n**Who We Are**\n\nI was the first intern &amp; youngest hire into GPU Architecture at Apple, working with industry-leading architects.\n\nI've seen how leading-edge chips get designed end-to-end: what the loop looks like, and how the power/perf/area trade-offs actually get graded.\n\nOur environments run that same loop &amp; formalize that grading.\n\n**Asks**\n\nIf you’re working on RL, post-training, or data at a lab or neolab, or interested in post-training models for chip-design capabilities. Please reach out, [founders@standardmachines.com](https://www.standardmachines.com/launch).\n\n---\n\n---\n\n---\n\nRead our full launch post, [here](https://standardmachines.com/launch).\n\n\\- [Jacob](https://x.com/jacobpeake)",
        "url": "https://www.ycombinator.com/launches/T6W-standard-machines-teaching-ai-to-design-advanced-chips",
        "votes": 22,
        "created_at": "2026-08-24T17:21:03.769Z"
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    "id": 32520,
    "name": "Snowstone",
    "slug": "snowstone",
    "former_names": [
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    "website": "https://snowstone.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Snowstone helps private equity firms drive operational value creation with AI. It's like a performance improvement engagement from a top consulting firm, but built from the company's own data, delivered in one week, and with every finding traced to its source. Today, private equity firms rely on consultants to find where portfolio companies can improve. That work depends on interviews and data requests, so the conclusions are secondhand, biased by internal politics and hard to check. Snowstone goes straight to the source data. It analyzes how a portfolio company actually operates and identifies automation potential, duplicated work, process bottlenecks and key-person risk, each quantified by its EBITDA impact.",
    "one_liner": "AI-Driven Value Creation and Margin Expansion for Private Equity",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1780900630,
    "tags": [
      "Finance",
      "Operations",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/snowstone",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/snowstone.json",
    "year_founded": null,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/snowstone-ai",
    "x_url": "https://x.com/Cerenovusai",
    "fb_url": null,
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [],
    "jobs": [],
    "news": [],
    "launches": []
  },
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    "id": 32522,
    "name": "Peer",
    "slug": "peer",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0047fd6626342e5850c5136fd718899a2c8c81cb.png",
    "website": "https://peer-freight.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Peer is building an AI-native freight brokerage that quotes freight, finds the right trucking companies, tracks shipments, and handles problems from pickup through delivery for shippers.",
    "one_liner": "AI-native freight brokerage",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1786336832,
    "tags": [
      "Digital Freight Brokerage",
      "Logistics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/peer",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/peer.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0047fd6626342e5850c5136fd718899a2c8c81cb.png",
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    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 2454208,
        "full_name": "Aaron Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Peer. Majored in Computer Science at Harvey Mudd College and dropped out for YC S26. Built AI voice agents for trucking fleets at Waylens (a trucking telematics company) and researched AI agents and computer vision at the MIT Media Lab (City Science Lab, Taipei). Led the Claremont Accelerator, which raised $124K to back student startups. 1st @ Google DeepMind Hackathon at UCLA with Felix.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaronttzhang/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/114b28e90ca8a22744bc307f0aee643e3b422fdc.jpg"
      },
      {
        "user_id": 2597858,
        "full_name": "Felix Peng",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder of Peer. CS/Engineering at Harvey Mudd. Engineering with Apple, IBM, Magnefy, and others. At LADWP shipped internal AI tools to 250+ staff. 1st Place National, DOE EnergyTech University Prize ($25K, youngest winner). Won the Google DeepMind Hackathon with Aaron Zhang. President and founding team of the Claremont Accelerator; raised $124K from alumni, AWS, and Google to back student startups.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/felixpeng24/",
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    "launches": [
      {
        "id": 110495,
        "title": "Peer: AI-Native Freight Brokerage",
        "tagline": "Peer brokers every load autonomously, from quote to delivery.",
        "body": "Freight brokerages in 2026 look like stock trading floors in 1989. Rooms of people on phones, quoting prices from memory, faxing paperwork across the country. Then electronic trading showed up and those floors emptied out. Peer (YC S26) is that moment for trucking.\\\n\\\n[https://drive.google.com/file/d/1IsbGimgbdogUQdADAzDloIuPn9zQgEJi](https://drive.google.com/file/d/1IsbGimgbdogUQdADAzDloIuPn9zQgEJi/view?usp=sharing)\n\nTrucking is a $900 billion industry, and 91.5% of American trucking companies run ten trucks or fewer. Nobody shipping freight can manage hundreds of those relationships, so they hand the load to a broker, who finds the right truck, in the right place, at the right price.\n\nPeer is an AI-native freight brokerage. A shipper sends Peer a load and agents do everything after that: price it, find and vet the trucking company, handle the paperwork, track the delivery, and fix what goes wrong on the road. Even the most tech-forward incumbents need thousands of people to run a brokerage. Peer runs on agents, doing far more loads with far fewer people.\n\nShippers want a fair price fast, a truck that is insured, and a trucking company that shows up. An agent quotes market rates in minutes instead of days of emails, because it reads the request the moment it lands. It catches a lapsed insurance policy before the freight moves, because it rechecks continuously, not once at signup. And it drops a trucking company that keeps failing, because it has no relationship to protect.\n\nAaron and Felix are both technical and both dropped out of Harvey Mudd to build Peer. Aaron built voice AI for trucking fleets at Waylens and researched AI agents at the MIT Media Lab. Felix worked in machine learning at Magnefy and shipped AI tools to the LA Department of Water and Power. Together they won the Google DeepMind Hackathon at UCLA.",
        "url": "https://www.ycombinator.com/launches/SkB-peer-ai-native-freight-brokerage",
        "votes": 20,
        "created_at": "2026-08-14T19:32:27.384Z"
      }
    ]
  },
  {
    "id": 32526,
    "name": "Pluto",
    "slug": "talentpluto",
    "former_names": [
      "Talentpluto"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ed12c5974a12759a4a83154066015d6c91fc4df.png",
    "website": "https://talentpluto.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Resumes made careers readable. LinkedIn made them filterable. Pluto makes them searchable.\r\n\r\nProfessionals spend 10 minutes talking to Pluto's voice agent about what they've done, what they're great at, and what they want next. Pluto turns that into a structured picture of who someone actually is, capturing the competency and intent that resumes and LinkedIn don't.\r\n\r\nWhen companies and AI agents go looking to hire, Pluto makes the right people discoverable.\r\n\r\n27K+ professionals have shared their career context with Pluto, and 50+ companies, including Mercor, Warp, and Rho, use it to find and reach the right people. Long-term, we're building the LinkedIn for agents.\r\n",
    "one_liner": "LinkedIn for agents",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1782230867,
    "tags": [
      "AI",
      "Careers",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Recruiting and Talent"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/talentpluto",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/talentpluto.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/talentpluto-inc",
    "x_url": "https://x.com/talentpluto",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/talentpluto",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ed12c5974a12759a4a83154066015d6c91fc4df.png",
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    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1666957,
        "full_name": "Sahil Seth",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Pluto. Previously built an AI interviewer used by billion-dollar recruiting firms. Led AI recruiting transformations at Bain and advised a Fortune 5 company. Graduated summa cum laude from Northwestern, elected to Phi Beta Kappa, and received the Frederick Shipp Diebler Award as the top economics undergraduate.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sahilseth9",
        "x_url": "https://x.com/sahil_seth9",
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      },
      {
        "user_id": 3207785,
        "full_name": "Maki Potamianos",
        "title": "Founder/CPO",
        "founder_bio": "CPO @ Pluto. Founded and scaled an edtech marketplace in college. Sole graduate with a dual degree in both applied mathematics and finance, completing the mathematics degree in two years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michaelpotamianos/",
        "x_url": "https://x.com/Maki_Potamianos",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3bd6ff8b549fd4ce443e3677fd9844e3a2a11cdf.jpg"
      },
      {
        "user_id": 1155860,
        "full_name": "Tony Xavier",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Pluto. Built an open source no-code editor competing with Lovable and Replit; researched voice agents and RAG systems. Placed top 0.1% nationally in India in math and physics. UMich Physics, Mechanical Engineering, and CS.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tony-xavier",
        "x_url": "https://x.com/TonyXavier_",
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    "jobs": [
      {
        "id": 115910,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/talentpluto/jobs/SIrtJNc-founding-engineer",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.15% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "PostgreSQL",
          "React",
          "TypeScript",
          "SQL",
          "Next.js",
          "LLMs"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 105611,
        "title": "Pluto - AI voice agent that helps professionals get discovered",
        "tagline": "Pluto is an AI voice agent that learns a professional’s story in a 10-minute conversation, makes them discoverable to the right people and AI agents, and creates warm introductions to startups when there’s a fit.",
        "body": "Hey YC, we’re Sahil, Maki, and Tony. We’re building Pluto ([talentpluto.com](https://talentpluto.com/))\n\nResumes made careers readable. LinkedIn made them searchable. Pluto makes them understood.\n\n<https://youtu.be/gMuOogxpSo4>\n\n**TL;DR** - A professional talks to Pluto for 10 minutes about what they’ve done, what they’re great at, and what they want next. Pluto makes that context discoverable to the right people and AI agents, helping them understand the person more fully. When there’s a real fit, Pluto can also make a warm introduction to a startup.\n\n18K+ professionals have already shared their career context with Pluto. 100+ companies use Pluto to meet people with their full story, including Mercor, David AI, Rho, Warp, and Runlayer.\n\n**Ask:** Talk to Pluto and let it get to know your work. If you’re hiring, send us the role and we’ll introduce you to people with context and confirmed interest.\n\n### **The problem**\n\nA resume and online profile are not enough for the AI era.\n\nThey show where someone worked and what title they had. They do not capture what the person actually did, what they are unusually good at, and what they want next.\n\nThat context usually lives in conversations. So professionals get reduced to keywords, logos, and titles, while the people and AI agents trying to understand them are left with an incomplete picture. \n\nHiring makes this problem obvious. Companies miss great people because the real signal never makes it online. But as AI agents increasingly help people find, evaluate, and connect with one another, every professional will need a richer, more accurate way to be understood.\n\n### **The solution**\n\nPluto is an AI voice agent that understands a professional’s career and puts that understanding to work.\n\nProfessionals talk to Pluto for 10 minutes about their experience, strengths, goals, preferences, and what they want to keep private. Pluto asks follow-up questions, remembers the context missing from their resume, and makes them discoverable to the right people and AI agents.\n\nCompanies tell Pluto who they want to meet. Pluto searches its network and the broader market, understands fit on both sides, privately confirms interest, and makes a warm introduction when both sides want to connect. No mass applications. Professionals stay private and in control. Companies meet people who are already understood.\n\n**How It Works**\n\n1. Talk to Pluto for 10 minutes\n2. Review what it learned and choose what to share\n3. Get found and understood by the right people and AI agents\n4. Get introduced to startups when there’s a fit\n\n### **Why We Started This**\n\nThe best hiring has always happened through trusted, high-context introductions. We think AI can make that possible for everyone.\n\nWarm introductions are one way Pluto puts that understanding to work today. Long term, Pluto becomes the career context layer for the AI era - the version of a professional’s story that agents can understand, trust, and act on, while the professional stays in control.\n\n### **Our Ask**\n\nIf you’re a professional, talk to Pluto and let it get to know your work. \n\nIf you’re a founder, hiring leader, or talent engineer, send us the role you’re hiring for.\n\n[talentpluto.com](http://talentpluto.com)\n\n\\- Sahil, Maki, Tony",
        "url": "https://www.ycombinator.com/launches/RTP-pluto-ai-voice-agent-that-helps-professionals-get-discovered",
        "votes": 19,
        "created_at": "2026-07-16T16:33:18.764Z"
      }
    ]
  },
  {
    "id": 32527,
    "name": "machine0",
    "slug": "machine0",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0eb24a85015d2fd30115c143876496fed0a17210.png",
    "website": "https://machine0.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "machine0 is a CLI for agent compute: `machine0 new mybox` gives your agent a full cloud VM, billed by the minute, from small up to 60 vCPU / 240 GB and 8×H100s. Agents drive it themselves via CLI or MCP.\r\n\r\nAgent workloads are moving from ephemeral to always-on. A coding agent working on a hard feature runs 6-8 hours. Auto-research agents run for days. machine0 is the environment in which these agents run.",
    "one_liner": "AWS for Agents",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1780987913,
    "tags": [
      "Developer Tools",
      "Cloud Computing"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/machine0",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/machine0.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/machine0",
    "x_url": "https://x.com/machine__0",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0eb24a85015d2fd30115c143876496fed0a17210.png",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 31731,
        "full_name": "Barnaby Malet",
        "title": "Founder/CEO",
        "founder_bio": "Engineer. 2 x YC Founder. Currently founder/CEO of machine0 (S26). Previously cofounder/CTO/CPO of Upflow (W20). Before all that, Computer Science @ Imperial College London.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/barnabymalet/",
        "x_url": "https://x.com/barnabymalet",
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 108327,
        "title": "machine0: Cloud computers for AI agents",
        "tagline": "One command spins up a persistent VM. Your agent drives it via CLI or MCP, building its own fleet from 1 vCPU up to 60 vCPU / 240 GB and 8×H100s.",
        "body": "TLDR: machine0 is a CLI for agent compute: “machine0 new mybox” gives your agent a full cloud VM, billed by the minute, from $0.013/hr up to 60 vCPU / 240 GB and 8×H100s. Agents drive it themselves via CLI or MCP.\n\n<https://www.youtube.com/watch?v=gyllkZ0M04E>\n\n## The Pain\n\nAgent workloads are moving from ephemeral to always-on. A coding agent working on a hard feature runs 6-8 hours. Auto-research agents run for days. OpenClaw &amp; Hermes run 24/7. As you run more in parallel:\n\n* **Resources**: a few agents on a big codebase saturate your RAM and CPU. Auto-research needs GPUs you don't have.\n* **Security**: “—yolo” on your personal machine is one prompt injection away from exfiltrated credentials.\n* **Availability**: close your laptop and the agent dies mid-task.\n* **Isolation**: there's no clean line between everything on your laptop and the minimum this agent actually needs.\n\n## The Solution\n\nmachine0 gives every agent its own computer. It's a CLI that both humans and agents can use without reading docs:\n\n* “machine0 new mybox” creates an SSH-ready VM with a static IP and HTTPS endpoint. Always on (99.99% uptime) until you switch it off.\n* **Billed by the minute.** 1 vCPU / 1 GB at $0.013/hr up to 60 vCPU / 240 GB, plus GPUs from RTX 4000 Ada to 8×H100s.\n* **Profiles.** Bundles of MCP connections, credentials, prompts, and env vars, injected at VM creation. Each agent gets exactly the capabilities (or personality) you choose, and nothing else.\n* **Agents self-serve.** Hand the CLI or MCP server to Claude, Codex, or OpenCode and it manages its own fleet: spin up a box for a build, snapshot it, tear it down.\n* **Suspend &amp; resume.** Pause an idle machine, stop paying for compute, resume exactly where it left off.\n* **Snapshot &amp; clone.** Configure one machine perfectly, then stamp out ten identical agents from it.\n* **NixOS is first-class.** Declarative, reproducible machines.\n\n## How people use it\n\n* **Compute for your agent**: give it the CLI and it spins up its own VMs for builds, tests, and long jobs instead of grinding your laptop.\n* **Hosting the agent itself**: run Claude, Codex or Hermes 24/7. Snapshot once, then clone as many as you want.\n* **Swarms of agents**: an orchestrator agent spawns worker machines, farms out subtasks, and tears them down when the work is done.\n* **Auto-Research on GPUs**: drop an agent on an H100 with a goal and let it run for days.\n\n## About me\n\nI'm a solo, second-time YC founder. I was CTO of Upflow (YC W20), where I scaled EPD post series A and personally owned DevOps, infra, and security for years because they were too high-stakes to delegate. Upflow handles sensitive accounting data for companies like Postman, ProductBoard, and Lattice, and is doing many millions in ARR.\n\nBefore that I built consumer payments at Hike Messenger (100M+ users) in India. Working with sensitive data and infra for years is what got me deep into the problems machine0 solves, security especially.\n\n## Asks 🙏\n\n* Try it: <https://machine0.io>\n* Let's talk about your agent fleets, software factory or auto-research: [hello@machine0.io](mailto:hello@machine0.io)",
        "url": "https://www.ycombinator.com/launches/SBD-machine0-cloud-computers-for-ai-agents",
        "votes": 22,
        "created_at": "2026-07-31T15:30:36.400Z"
      }
    ]
  },
  {
    "id": 32554,
    "name": "Ooak Data",
    "slug": "ooak-data",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad1b7cce12014a7746a7f8b912560717f6e2f037.png",
    "website": "https://ooakdata.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ooak Data turns internal company data into a training ground where AI agents can be tested on real work.\r\n",
    "one_liner": "We turn company data into training data",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1783922301,
    "tags": [
      "Reinforcement Learning",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ooak-data",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/ooak-data.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/107463604",
    "x_url": "https://x.com/Ooakdata",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad1b7cce12014a7746a7f8b912560717f6e2f037.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 3207024,
        "full_name": "Pierre-Louis Vouteau",
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        "id": 110403,
        "title": "Ooak Data: Turn internal company data into a training ground where AI agents can be trained on real work",
        "tagline": "The bottleneck to smarter agents isn't compute. It's real data. We unlock it.",
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        "id": 111176,
        "title": "Graphify Labs: Knowledge Graph Engine for Enterprises 🧠",
        "tagline": "Shared memory of your codebase, for humans and agents.",
        "body": "Hey everyone, I'm [Safi](https://www.linkedin.com/in/safi-shamsi/), founder and CEO of [Graphify Labs](https://www.linkedin.com/company/graphify-labs/).\n\nFor fifty years, the hard part of software was writing it. AI flipped that overnight. It writes more code than any team can read, and a lot of it is slop. That leaves two **hard problems**: no one can hold the whole codebase in their head, and no one can be sure an AI's change didn't quietly break something. **Graphify solves both.**\n\n**By the numbers**\n\n\\- **108K+ GitHub stars**: one of the top five open-source projects ever from a YC company, and the first to cross 100K⭐ mid-batch\n\n\\- **5M+ downloads** of the open-source engine\n\n\\- **6,000+ signups** on the platform in its first weeks\n\n\\- Enterprises already running it in production\n\n**The memory.** One shared, always-current knowledge graph of your whole codebase, across every language and every repo, plus its docs and tickets, so a change in one service shows its impact across all the others. Instead of grepping through files one at a time, your engineers and their AI agents trace how everything connects, who calls what and what a change touches, and answer questions across the entire system, at a **fraction of the tokens**. Agents connect over a single **MCP endpoint**, so the graph works inside Claude Code, Cursor, and every major coding tool. It groups the code into communities, the real subsystems, so teams can plan, onboard, and understand the architecture across the whole **SDLC**.\n\n**The proof.** Graphify reviews every pull request, including changes that span **multiple repositories**, and verifies each one. It writes and runs a test that reproduces the bug, proves the new code behaves exactly like the old, or hands back the exact input that breaks it. Most AI reviewers just have one model comment on another model's code, which is still a guess. **Graphify proves its findings**, because it runs on a real **code graph and formal verification**.\n\n![uploaded image](/media/?type=post&id=111176&key=user_uploads/3674994/e7f719ea-bca0-4c12-a922-12c728426dd4)\n\n**It learns.** Graphify remembers what your team ships and what it rejects, and feeds that back in, so its reviews get sharper over time and stop flagging what your team has already decided is fine.\n\n> Migrating a large codebase with AI is like changing a train's engine while it is moving. Graphify lets you do it without stopping the train, and proves the new version does exactly what the old one did.\n\n**Here's the launch film**:\n\n<https://youtu.be/nvJ1M_GRj8Q>\\\n\\\nIt also proposes a fix and keeps it only if it re-verifies through the fix loop. Graphify connects to **Jira, Linear, and Sentry** so it knows the ticket a change should satisfy and the production bug it should resolve.\n\nThe enterprise layer runs on-prem, so your code never leaves your environment.\n\n**The founder.** [Safi Shamsi](https://www.linkedin.com/in/safi-shamsi/) is a published knowledge graph researcher and the author of The Memory Layer. His research on knowledge-graph retrieval improved retrieval 50% and cut hallucinations 67%. Now he's applying that work to one of the hardest problems in software: giving every engineer and AI agent a shared memory of the codebase, and a way to prove their changes still work.\n\nSoon every line of software will be written or reviewed by an agent. That software will need a memory of itself and proof that it works. **We're building both.**\n\n![uploaded image](/media/?type=post&id=111176&key=user_uploads/3674994/439244a1-338f-46cc-8594-b7c2a74bffcb)\n\n**The ask:** Before September 10 we're taking 10 design partners: a free 14-day build where we deploy the enterprise graph on-prem, with your team \\\n**Reach us at [founders@graphify.com](mailto:founders@graphify.com)**\n\n**Dig in**\n\n**- Run it yourself: [https://app.graphify.com](https://app.graphify.com)**\n\n**- Open-source engine: [https://github.com/Graphify-Labs/graphify](https://github.com/Graphify-Labs/graphify)**\n\n**- Docs: [https://graphify.com/docs](https://graphify.com/docs)**\n\n**- Connect any agent over MCP: [https://api.graphify.com/mcp](https://api.graphify.com/mcp)**\n\n**- Benchmarks and methodology: [https://github.com/Graphify-Labs/graphify/blob/v8/BENCHMARKS.md](https://github.com/Graphify-Labs/graphify/blob/v8/BENCHMARKS.md)**\n\n**- Talk to us: [founders@graphify.com](mailto:founders@graphify.com)**\n\n![uploaded image](/media/?type=post&id=111176&key=user_uploads/3674994/6068aaba-5948-422b-b5ef-b74b60a9504f)\n\n",
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    "long_description": "Almanac is an AI agent that deeply understands your work.\r\n\r\nToday people rely on a stack of productivity tools to hold the context of their work including todo lists, issue trackers, wikis, and CRMs. All of them have to be updated by hand, and none were built for AI. \r\n\r\nAlmanac maintains its own self-updating productivity suite for you. This gives it an absurdly good understanding of your work, based on which it proactively gets things done for you.\r\n\r\nAlmanac starts with individuals, but it's built for teams. As more of a team connects their work, the agent gains shared context across everyone, so it understands not just what you're doing but how the whole team's work fits together.",
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      {
        "id": 106258,
        "title": "Almanac: The agent with a company brain",
        "tagline": "Almanac works with its own browser and terminal, signed into the accounts you connect.",
        "body": "There's a new kind of agent.\n\nIt exists on its own computer, connected to your tools, with a living brain of everything you and your company know.\n\nIntroducing Almanac, the agent with a company brain.\n\n<https://youtu.be/UZVOJTQhW1I?is=Bb0d2--YkZYf7xdp>\n\nAlmanac works with its own browser and terminal, signed into the accounts you connect. Everything in your tools compiles into a wiki that it reads before every task. Your teammates' Almanacs share that wiki. You text it work. It texts you when it's done.\n\n![uploaded image](/media/?type=post&id=106258&key=user_uploads/2550783/615174e2-3d24-480d-a8f5-7c849c5a24b9)\n\n**What we hand ours**\n\n* Divit has it gather feedback from our customer Slack channels and file GitHub issues, with screenshots and reproduction steps.\n* Kushagra connected his Chase account. It inspects recurring charges and cancels subscriptions he doesn't use.\n* Before meetings, it sends us a brief built from our past emails and calendar. After, it drafts the follow-up. The draft is usually good enough to send.\n* It watches our production environment. When something trivial breaks, it fixes it and raises a PR.\n* It buys our dinner. At this point it suggests the order.\n\n**It knows when to stop.** At a login, a payment, or a decision it shouldn't make alone, it pings you or hands you the live browser.\n\n![uploaded image](/media/?type=post&id=106258&key=user_uploads/2550783/9b85821d-c37b-4da7-87a9-6218d731ad53)\n\n**Automations are just sentences.** \"Whenever a customer reports a bug, check whether anyone else has reported it, reproduce it, and update the GitHub issue.\" Say it once. There's no workflow builder.\n\n**The brain is shared.** Your teammates' Almanacs read and write the same wiki. So can your other agents: Claude Code and Codex can start caught up on your company. \\\n\\\n**Our bet.** We're Rohan, Kushagra, and Divit. We grew up together in India and met 11 years ago preparing for the JEE. Since then: machine-learning research and engineering across Vector Institute, CMU, MIT, Harvard, and Arcesium. From the start we've had one bet: AI will need a context layer, and it takes the shape of a wiki. For the last year and a half we've built agent wikis for Harvard, for NASA, and once, an attempt at the whole internet. We are, perhaps predictably, obsessed with wikis. Almanac is that bet, pointed at your company.\n\n![uploaded image](/media/?type=post&id=106258&key=user_uploads/2550783/7bab1366-3e4c-4140-829d-e1bc9666d9ab)\n\nText it your first task tonight. See what's done by morning.\\\n\\\nTry it out today: <https://usealmanac.com>",
        "url": "https://www.ycombinator.com/launches/Rdq-almanac-the-agent-with-a-company-brain",
        "votes": 36,
        "created_at": "2026-08-13T15:37:10.813Z"
      }
    ]
  },
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    "id": 32617,
    "name": "Whitespace",
    "slug": "whitespace",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7ab9b902afa3fe0a37b3622022557a9cd82d082.png",
    "website": "https://whitespacehq.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Whitespace builds AI agents that run the entire operation of supply chain businesses, starting with wholesale distributors. We give them self-improving AI agents that learn their business and do work like inventory planning and customer service.\r\n\r\nWe're building towards a world where all supply chain operations run through our agents, and all physical goods purchases can happen across businesses without human touch.",
    "one_liner": "AI Operating System for Wholesale Distribution",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1782389037,
    "tags": [
      "SaaS",
      "B2B",
      "Supply Chain",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/whitespace",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/whitespace.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/whitespaceai",
    "x_url": "https://x.com/whitespacehqai",
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    "github_url": null,
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
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      {
        "user_id": 2335228,
        "full_name": "Alex Tung",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Whitespace. First non-engineer hire at Ankar (Index-backed), scaling it to 7-figure ARR in under a year. Previously BCG, deploying AI at F500 distributors. Cambridge Economics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexyctung/",
        "x_url": "https://x.com/alexytung",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf7ed849f4f96987aa9557ffb71c9a5f4c714a48.jpg"
      },
      {
        "user_id": 3405544,
        "full_name": "Leon Yao",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Whitespace. Previously Research Engineer at InstaDeep, running 7-figure supply chain AI deployments for F500 enterprises. UCL Machine Learning, publishing AI papers at IROS (top-3 robotics conference) as an undergrad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/linghong-yao/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef2cb473c4b76b2f791ba1cf0b953446391daa5e.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 105676,
        "title": "Whitespace: AI Operating System for Wholesale Distributors",
        "tagline": "We help wholesale distributors grow 100x with AI agents that learn their business and do the work.",
        "body": "Hey everyone 👋 We’re [Alex](https://www.linkedin.com/in/alexyctung/) and [Leon](https://www.linkedin.com/in/linghong-yao/) - cofounders of [Whitespace](https://whitespacehq.ai/).\\\n\\\nWhitespace is the AI operating system for wholesale distributors. It connects to their systems to build a living model of their business, then deploys self-improving AI agents to do work like inventory planning, customer service, and order processing.\n\n**Problem**\n\nWholesale distribution is a $60 trillion global industry that touches one in every five dollars of global output. Yet it still runs largely manually. At a typical wholesale distributor, 30-50% of staff are dedicated to back-office tasks.\n\nThey spend their days on email, spreadsheets, and legacy systems, relying on tribal knowledge in their heads. Businesses cannot scale without hiring, and training a new hire takes >6 months.\n\nA quote from one of our customers really brings this to life: “I have 6 reps typing 600 lines of orders from email into the ERP every day. Everyone is inside our ERP and spreadsheets, copying data from one place to another.”\n\n**Solution**\n\nWhitespace is the AI operating system for wholesale distributors. It connects to their systems to build a living model of their business, then deploys self-improving AI agents. \n\nWe’re already working with wholesale distributors in sectors including industrial supplies and building materials to set up agents for processes like:\n\n* **Inventory Planning.** Forecasts product demand, recommends reorder quantities against stock levels, and learns over time from actual demand.\n* **Customer Service.** Monitors inboxes for support queries, digs through systems to find answers, and responds with human oversight.\n* **Order Processing.** Monitors inboxes, enters orders into the ERP, flags exceptions to humans, and learns from their corrections.\n\n<https://youtu.be/4UxlKKXrgfI?si=EwGhX1LCTGyauuw6>\n\n**Team**\n\nBoth our families ran wholesale distribution businesses, so we grew up seeing the inefficiencies and the opportunities firsthand.\n\n[Alex](https://www.linkedin.com/in/alexyctung/) advised F500 manufacturers and distributors on tech/AI at BCG, took a startup from launch to 7-figure ARR in a year as its first non-engineering hire, and graduated top of his college at Cambridge.\n\n[Leon](https://www.linkedin.com/in/linghong-yao/) built AI products for F500 logistics distribution companies at InstaDeep, published first-author RL papers at tier-1 conferences, and previously founded an EdTech startup that served thousands of users worldwide.\n\nWe’ve been best friends for 12 years since high school. We’ve lived and worked together, and are now tackling a challenge close to our hearts.\n\n![uploaded image](/media/?type=post&id=105676&key=user_uploads/2335228/2d187648-e6e7-4b98-8101-407f5e7aefee)\n\n**Ask**\n\nWe would appreciate intros to wholesalers or distributors at [alex@whitespacehq.ai](mailto:alex@whitespacehq.ai)",
        "url": "https://www.ycombinator.com/launches/RUS-whitespace-ai-operating-system-for-wholesale-distributors",
        "votes": 11,
        "created_at": "2026-07-16T14:54:16.399Z"
      }
    ]
  },
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    "id": 32618,
    "name": "Click",
    "slug": "click",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3eb675c91f3464d134cd3d9c18712ad08bea23bb.png",
    "website": "https://www.useclick.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Click serves agents over an API. Bring your model keys, tools, and context - Click runs the agent and streams back events.\r\nAsk your coding agent about useclick.ai/reference!",
    "one_liner": "Managed Agents API",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1785963586,
    "tags": [
      "API",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/click",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/click.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/use-click",
    "x_url": "https://x.com/useclick_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/use-click/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3eb675c91f3464d134cd3d9c18712ad08bea23bb.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 1995988,
        "full_name": "Aditya Asgaonkar",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Click. Previously helped build Ethereum's distributed system (proof-of-stake) as an open-source contributor at the Ethereum Foundation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aditya-asgaonkar/",
        "x_url": "https://x.com/adiasg",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d21221f7711a082e5615e10bb6d4053d1be4205.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 110141,
        "title": "Click - Research services inside Codex & Claude",
        "tagline": "Live external context from professional & social platforms, marketplaces, financials, and more.",
        "body": "**TLDR:** Click is an MCP that provides extensive research connectors to give external context that the built-in web search misses.\n\n![uploaded image](/media/?type=post&id=110141&key=user_uploads/1995988/91aff538-41b1-4c8b-96eb-c1bf84bd5e47)\n\n**Video:** <https://youtu.be/IgcAy86cPls>\n\n**Problem:**\n\nClick is largely motivated by a change in my own behavior:\n\nCodex &amp; Claude are amazing products. I live inside their surface now - using it more than my browser. It feels like home, to the point that I’m annoyed to have to leave. Most often, I’m stepping outside to do external-facing tasks, like researching my leads on LinkedIn or comparing flight options. I want my agents to do these tasks as well.\n\nCurrently, those can’t be completed because their gateway to the world (in-built web search) has limited access. Often the agent also asks to use the browser with a logged-in session, which I’m uncomfortable with.\n\nSo, I built the connector layer that I wish existed.\n\n**Solution:**\n\nClick’s MCP is a single installation that provides your agent with an ever-growing bundle of the best data connectors. The current set of connectors enable new use cases inside the chat, like:\n\n* Lead research &amp; enrichment\n* Researching ad campaigns from competitors\n* Analyzing sentiment around a topic across social media\n* Planning travel with live fares &amp; availability\n\n**Team:**\n\nI’m Aditya, the founder of Click. Previously, I helped build Ethereum, with a vision to create a platform that enables new kinds of applications. \n\nNow, I’m focusing on the next application platform - the AI chat surface. Click builds useful services that meet users right inside the conversation. I’m building one trusted service at a time, and research is the first one.",
        "url": "https://www.ycombinator.com/launches/SeT-click-research-services-inside-codex-claude",
        "votes": 10,
        "created_at": "2026-08-12T19:00:01.957Z"
      }
    ]
  },
  {
    "id": 32619,
    "name": "Akon Labs",
    "slug": "akon-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7195cae7a2ed2e9a5da8741119043c95ba614f7c.png",
    "website": "https://akonlabs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Databricks for Enterprise Codebases",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1786669281,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/akon-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/akon-labs.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/akon-labs/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7195cae7a2ed2e9a5da8741119043c95ba614f7c.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1607382,
        "full_name": "Subham Kundu",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Akon Labs (YC S26). Previously CTO at Cignara (YC P26), building from first line to millionth. Principal AI Engineer at HTCD, developed AI observability platform and reduced AI search costs by 78%. Founding Engineer at Caravel Labs, built LLM chatbot scaled to 5,000 students and featured on Chinese national TV.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/subham-kundu-2746b515b",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/95a2cbce998042d28b021894a4de3a4084143d54.jpg"
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    ],
    "jobs": [],
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    "launches": [
      {
        "id": 110659,
        "title": "Akon Labs: We're building the most token-efficient coding agent in the world",
        "tagline": "GitNexus gives coding agents a map of your codebase, so they stop burning tokens looking for it.",
        "body": "##### We're building the most token-efficient coding agent in the world. The reason it works is GitNexus, our open-source knowledge graph for your codebase.\n\n<https://youtu.be/-ErU4cCRSlQ>\n\n##### The problem\n\nCoding agents don't understand your repo. They grep, they guess, they re-read the same files, and they stuff half your codebase into a context window hoping the answer is in there somewhere. You pay for every one of those tokens, and the agent still misses the cross-file relationship that mattered.\n\nThe bottleneck isn't the model. It's context.\n\n##### What we built:\n\nGitNexus indexes your repository into a knowledge graph (symbols, call paths, imports, ownership, history) and serves the agent exactly the context a task needs, instead of everything it might need.\n\nIt's one connected stack:\n\n* The knowledge graph. Run npx gitnexus analyze and you have it\n* A coding agent that runs on top of it\n* Automated PR review grounded in the same graph\n\n![uploaded image](/media/?type=post&id=110659&key=user_uploads/1607382/1d3e51af-d3b5-4ee6-b0c3-b80bc4337c3e)\n\n##### The proof:\n\nOn the DeepSWE benchmark, we ran the same agent with our graph and without it:\n\n* 37% to 68.4% pass rate. Nearly twice the bugs solved\n* Half the cost per fix, with fewer tokens\n* On the hardest tasks, the gap more than triples\n\nFull methodology and results: <https://www.akonlabs.com/benchmarks>\n\n##### Where we are:\n\n* 45,000+ GitHub stars\n* 65,000 weekly npm downloads\n* 10+ enterprises onboarded\n\n##### About the team:\n\nSubham Kundu and Abhigyan Patwari have spent nearly half a decade working on knowledge graphs. Between them, they've been founding engineers, CTOs, and principal AI engineers, taking products from 0 to 100 at multiple startups. Subham is a seasoned engineer who has scaled products to millions of users, won multiple hackathons, and doing a PhD in reinforcement learning. Abhigyan is a seasoned technologist and serial open source contributor, with involvement across multiple open source projects.\n\n##### Run it in your way:\n\nManaged, or fully sovereign. Self-hosted, air-gapped, nothing leaves your network.\n\n##### Looking to cut your coding agent bill?\n\nIf you want to lower your coding agent spend without giving up frontier performance, sign up at <https://www.akonlabs.com>. We'll get you set up on your own repo and show you the before-and-after on your actual token costs.\n\n##### Our other asks\n\n* Try the open-source version. Run npx gitnexus analyze. Takes a minute\n* Intros. Engineering leaders where agent cost or code-context quality is a real line item, especially in regulated or air-gapped environments\n* Tell us where it breaks. Weird monorepos and polyglot repos are the most useful feedback we get\n\nGitNexus, by Akon Labs. The nervous system for agent context.\n\nContact us at: [founders@akonlabs.com](mailto:founders@akonlabs.com)\n\nWebsite: [https://www.akonlabs.com](https://www.akonlabs.com/)\n\nLinkedin: [https://www.linkedin.com/company/akon-labs](https://www.linkedin.com/company/akon-labs/)",
        "url": "https://www.ycombinator.com/launches/Smp-akon-labs-we-re-building-the-most-token-efficient-coding-agent-in-the-world",
        "votes": 45,
        "created_at": "2026-08-17T19:30:00.167Z"
      }
    ]
  },
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    "id": 32620,
    "name": "Gradon",
    "slug": "gradon",
    "former_names": [
      "Vendo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7505a6a55a850d54a7b75a5750c0282f58f9001f.png",
    "website": "https://heygradon.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Gradon is Legora for the firms that design the world's buildings and infrastructure. Every road, bridge, water system and building starts with engineers, and there aren't nearly enough of them for everything the world needs to build. \r\n\r\nGradon works across every workflow and tool an engineering firm runs on, from CAD design and calculations to full plan sets, and firms using it today have decreased average project times by more than 75%. We're building the platform that makes every engineer a 10x engineer, and with it, how the world gets built.",
    "one_liner": "Legora for AEC (Architecture, Engineering, & Construction) firms",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1784444284,
    "tags": [
      "Construction",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/gradon",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/gradon.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/heygradon",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 2705364,
        "full_name": "Nour Zahzah",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Gradon (YC F26). MechE at UC Berkeley. Previously founded a company building in-store AI shopping assistants for retailers and did mechanical design for startups. Played professional academy soccer at SJ Earthquakes for 7 years. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nourzahzah",
        "x_url": "https://x.com/nourzahzah",
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      },
      {
        "user_id": 1301156,
        "full_name": "Yousef Helal",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Gradon (YC F26). I graduated top of my class from UC Berkeley at 19, and then went and got an MS from Stanford.\n\nI previously designed software and hardware at Apple (FPGA infrastructure) and AMD (Microblaze V), and then founded a startup building in-store AI shopping assistants for retailers. Before that, my teachings methods as a TA at Berkeley won awards and got published in a paper.",
        "is_active": true,
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      {
        "id": 121714,
        "title": "Gradon: Legora for AEC (Architecture, Engineering, & Construction) firms",
        "tagline": "The AI partner that makes every engineer 10x.",
        "body": "Hey everyone 👋 We're Nour and Yousef, co-founders of Gradon.\n\nTL;DR: Gradon is the AI partner for AEC (Architecture, Engineering, Construction) firms. Engineers send it work the way they'd message a teammate, and it works across every workflow and tool the firm runs on, from CAD design and calculations, to reports and full plan sets. Firms using it today have decreased average project times by more than 75%.\n\n<https://www.youtube.com/watch?v=aTg6ne4z_aU>\n\n### How Gradon Works\n\n* Message it like a teammate. Type or talk to it, or share your screen and walk it through a problem. It takes the task from there.\n* It works the firm's way. Before Gradon ever touches a project, a firm brain is built, that learns the firm's past work and standards, so everything comes out just the way their team would do it.\n* It works inside their tools, from CAD design, to analysis software, and anything in between. No new system to move into.\n* Engineers stay in charge. Every deliverable comes back for review, and nothing changes until the engineer approves it.\n* Every discipline. Civil, structural, MEP, architecture and more.\n\nWe're also each firm's AI partner, not just another piece of software. We fly out and work one-on-one with each firm's engineers until they're getting the most out of it. After that, we continuously host office hours, lunch-and-learns and more, to make sure firms always stay on the frontier.\n\n### Why Now\n\nAI is the biggest change to engineering since CAD. The demand to build has never been higher, and the number of engineers can't keep up. The next great engineering firms will be the ones where every engineer has Gradon behind them.\n\n### Who We Are\n\nWe've known each other since kindergarten.\n\n* Nour (CEO) studied Mechanical Engineering at Berkeley and worked as a mechanical design engineer. Before startups, he played professional academy soccer for the San Jose Earthquakes for 7 years.\n* Yousef (CTO) graduated high school at 15, then earned a Bachelor's in EECS from Berkeley and a Master's from Stanford. He previously built FPGA infrastructure at Apple and worked on chip design at AMD.\n\n### Our Ask\n\n* If you run an engineering firm, book a demo today to see how Gradon can transform your firm to become AI-native.\n* Intros to owners and principals at civil, structural, MEP or architecture firms. We compensate for successful referrals.\n\nReach us at [heygradon.com](http://heygradon.com) or [nour@heygradon.com](mailto:nour@heygradon.com)",
        "url": "https://www.ycombinator.com/launches/Vf8-gradon-legora-for-aec-architecture-engineering-construction-firms",
        "votes": 7,
        "created_at": "2026-10-13T17:00:00.164Z"
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    "long_description": "Rational is building the first accounting firm with no humans. It's entirely run by our AI employees, who go from client intake to doing the books to filing with the IRS. We secure 90% cost reduction, 24/7 support, and an overall seamless experience for businesses.",
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    "industry": "B2B",
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        "full_name": "Jibril Moinuddin",
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        "founder_bio": "CEO at Rational. Previously founding engineer at Buckeye AI, TrueFoundry. Founded STEMplicity Education. Dropped out of University of Michigan. Non-Trivial Fellow.",
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        "full_name": "Christ Xu",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Rational. Prev Youngest Tencent Senior SWE.  2x IOI Camp, IMO Camp, published algo researcher.",
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        "id": 106940,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/rational/jobs/FGBkhzz-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 106941,
        "title": "Machine Learning Researcher ",
        "url": "https://www.ycombinator.com/companies/rational/jobs/vRTNbJi-machine-learning-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 106942,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/rational/jobs/6ycNzJc-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
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        "equity_range": "",
        "experience": null,
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      {
        "id": 106944,
        "title": "Applied AI",
        "url": "https://www.ycombinator.com/companies/rational/jobs/u1XiPpU-applied-ai",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Rational Launches AI Employees for Accounting Firms",
        "url": "https://insidepublicaccounting.com/2026/07/17/rational-launches-ai-employees-for-accounting-firms/",
        "date": "Jul 17, 2026"
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      {
        "id": 114437,
        "title": "Rational - First Zero-human Accounting Firm",
        "tagline": "Agents will be trusted.",
        "body": "<https://www.youtube.com/watch?v=IX4-sMxdslk>\n\n**We’re disrupting the disruptors.**\n\nYou’ve heard of so many AI accounting startups already. These new “AI-native” accounting firms are still designed to be run by humans in two facets: the first 25%, fostering client relationships, and the final 25%, signing off and filing with the IRS.\n\n**Josh Kushner’s company, Thrive Holdings, the largest disruptor in this space, explicitly argues that agents will never replace this** \\[1\\]**.** Their reasoning? Agents don’t carry trust.\n\nCurrently, agents are not trusted, humans are. That’s why every AI startup nowadays does the work, and leaves judgment to a human. But this is changing, and we’re early. As new agent-centric companies grow (Instinct, Natural, AgentMail), agents become common in daily life and work, and eventually will become trusted entities \\[2\\].\n\nOnce agents are trusted, there is no reason they cannot own entire, traditionally trust-heavy industries, end-to-end. Rational is building for that world.\n\n**Reach out to [founders@rational.to](mailto:founders@rational.to) or visit [rational.to](http://rational.to) if interested in learning more.**\n\n---\n\n\\[1\\] <https://www.thriveholdings.com/long-humans>. A fraction of the market does care about trust and the human relationship with their accountant, but most of us definitely do not want to spend a second more with one than we have to.\n\n\\[2\\] These companies inherently bet on agents to proliferate in society. We also believe AI will continue to get better and safer. Since trust is achieved through consistent, positive actions, and it is in the interest of the entire tech industry for their agents to produce consistent positive actions, our firm will be the first to enjoy the principles to do concrete work in a massive market.",
        "url": "https://www.ycombinator.com/launches/Tll-rational-first-zero-human-accounting-firm",
        "votes": 22,
        "created_at": "2026-09-09T19:03:11.387Z"
      },
      {
        "id": 112573,
        "title": "Rational - AI Employees for Accounting Teams",
        "tagline": "AI employees for in-house accounting teams",
        "body": "Rational builds AI employees for in-house accounting teams. They onboard themselves, handle real work within existing tools, and keep a human in control of every decision that matters. \n\nOur AI employees conduct interviews with each role on your team, creating a mental map of your workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your team. They’re truly your AI employees.\n\nWe’re live with major enterprise customers, including a Fortune Global 100.\n\n<https://youtu.be/IYdMo3m6_Es>\n\nToday, we’re also releasing our Web Playground for early access.\n\n**Visit rational.to/book-demo to get access.**\n\nNot part of an accounting team but know someone in PE, advising, or accounting? We would love to talk. Email [founders@rational.to](mailto:founders@rational.to).",
        "url": "https://www.ycombinator.com/launches/THh-rational-ai-employees-for-accounting-teams",
        "votes": 3,
        "created_at": "2026-08-28T16:00:00.566Z"
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      {
        "id": 106060,
        "title": "Rational: AI Employees for Accounting",
        "tagline": "24/7 hires to solve the talent shortage within your firm's existing stack",
        "body": "Rational builds AI employees for accounting and tax firms. They onboard themselves to your firm, handle real work within your existing tools, and keep a human in control of every decision that matters — so firms can finally say yes to the clients they've been turning away.\n\n<https://youtu.be/mcF30tmNLTg>\n\n_The problem_\n\nAccounting has an economics problem: demand is there, capacity isn't. Most firms turned away paying clients last year simply because they didn't have the people to do the work, and the talent pool keeps shrinking as accountants leave the profession faster than firms can replace them. More software hasn't fixed this — and a chatbot that summarizes a spreadsheet definitely hasn't. The parts of accounting that actually matter, like judgment, trust, and sign-off, should stay human. Everything around them shouldn't have to be a bottleneck.\n\n_Our solution_\n\nRational’s AI employees conduct interviews with each role on your team, creating a mental map of your firm’s workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your firm. They’re truly _your_ AI employees.\n\nRational already works with every firm size: from individuals to Fortune Global 500 companies. Doing everything from document-chasing to research to tax preparation, our employees supplement your firm’s labor without the significant onboarding curve or cost of a new hire.\n\n_Book a Demo_\n\nStop saying no to clients or retaining inefficiencies in your firm. Hire your first AI employees today, at <https://rational.to/book-demo>.\n\nNot an accounting firm but know someone in PE, advising, or accounting? We would love an introduction. Email founders@rational.to.",
        "url": "https://www.ycombinator.com/launches/Rae-rational-ai-employees-for-accounting",
        "votes": 18,
        "created_at": "2026-07-17T17:45:59.589Z"
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    "id": 32624,
    "name": "Fabraix",
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    "website": "https://fabraix.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Fabraix builds state-of-the-art AI red-teaming agents that continuously detect security vulnerabilities in customer-facing AI. Our product, Nyx, has already found vulnerabilities in agents at dozens of Fortune 500 companies. On AgentHarm, the leading benchmark for offensive AI security, Nyx achieved a 78% attack success rate, compared with 67% for GPT-5.6 Sol.\r\n\r\nAI agents can change more often than teams can test them. A new model, prompt, tool, permission, or data source can change what an agent does, even when the application code stays the same. And AI is also increasing how much software companies produce and how often it changes. We built Nyx to automate the work required to red-team AI agents. It is multi modal by design and interacts with the target indirectly through controlled replicas of SaaS products and websites that we maintain, placing malicious payloads in webpages, documents, files, messages, and tool outputs to test how an agent behaves under different conditions.\r\n\r\nNyx often finds its first vulnerability within minutes or hours rather than days or weeks. Because the work is fully automated, companies can repeat the test with every change and at a much lower cost than what a 7-figure red-teaming (and point-in-time) engagement would require.\r\n\r\nWe're also the team behind ACE (Adversarial Cost to Exploit), a benchmark that measures AI security in terms of how much it costs attackers to break an AI system; providing a game-theoretic framework to understand how motivated a rational attacker would be in exploiting the system.",
    "one_liner": "The world's frontier hacker of AI agents.",
    "team_size": 2,
    "industry": "B2B",
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    "launched_at": 1783913331,
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        "user_id": 693526,
        "full_name": "Ahmed Aly",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Fabraix, building a frontier hacker agent that finds failure modes and security exploits in AI systems before real users do. Previously the first data scientist at Sequoia-backed Two, where he built AI systems for adversarial environments from scratch and scaled them to process $1B+ in annual B2B transactions, averting $50M in losses for multiple Fortune 150 companies. A published researcher with multiple papers in Q1 journals and a UCL PhD drop-out.",
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        "user_id": 2769430,
        "full_name": "Ibrahim Abdu",
        "title": "Founder/CTO",
        "founder_bio": "Red-teamed AI agents in Meta's Privacy org; built an SRE agent triaging 3M+ errors/month, saving 10,000+ engineering hours a year. Built a compiler for insider-trading detection at TradingHub: $100M+ in daily trades; Oxford PPE, top 8% of cohort.",
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        "url": "https://www.forbes.com/sites/dariashunina/2026/09/03/meet-the-yc-startups-betting-on-what-comes-next/",
        "date": "Sep 03, 2026"
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      {
        "id": 106270,
        "title": "Fabraix: The Frontier Agent that Hacks Customer-facing AI.",
        "tagline": "Fabraix builds AI red-teaming agents that continuously detect security vulnerabilities in customer-facing AI. We already found vulnerabilities in agents at dozens of Fortune 500 companies.",
        "body": "**TL;DR**: Fabraix builds AI red-teaming agents that continuously detect security vulnerabilities in customer-facing AI. Our product, Nyx, has already found vulnerabilities in agents at dozens of Fortune 500 companies, and hits a 78% attack success rate on AgentHarm (leading offensive AI security benchmark) vs. 67% for GPT-5.6 Sol.\n\n**Ask**: If your team ships customer-facing AI agents (chat, voice, browser, or coding) and needs to continuously test them for security vulnerabilities, find us at [founders@fabraix.com](mailto:founders@fabraix.com).\n\n<https://www.youtube.com/watch?v=WHmJIMIuAEM>\n\n**The Problem**\n\nAI agents introduce new vulnerabilities not present in traditional software..\n\nIn order for agents to be truly useful, they must be trusted to interact with untrusted surfaces like MCPs, websites and files, take real actions, and have access to confidential data. You can’t tell your defenses are sound by just reading your prompts since the agent's behaviour is not deterministic. The best thing to do is run your agent and really try to break it.  \n\nDoing this red-teaming process manually is time consuming, costly, and you are unlikely to catch everything. And as soon as the agent is updated, you need to repeat it. Security teams simply don’t have the bandwidth to keep up with the rapid deployment inside organisations.\n\n**Our Solution**\n\nNyx is our red-teaming agent that tests customer-facing AI agents, via direct interaction and also indirectly via its environment. It requires no access to your agent’s source code in order to test.\n\nNyx is highly adaptive when attacking. Rather than cycling through hard coded payloads like existing tools, it dynamically adjusts its attack strategies based on your agents defenses and responses. It probes your agent over a wide surface area of attack vectors, and deep dives This adaptive approach makes it 20x more effective as a red-teamer compared to other solutions.\n\nWe maintain a library of over 10,000 attack strategies and jailbreaks. These are high level strategies which are used by Nyx to generate dynamic adaptive attacks, over multiple turns. \n\nEvery finding includes the attack steps, the agent’s responses, and the resulting failure for you to reproduce. You can then rerun the same test after a release to check whether the failure remains fixed. \n\nOn the AgentHarm benchmark, Nyx achieved a 78% attack success rate, compared with 67% for GPT-5.6 Sol. Nyx has also found exploitable failures in public-facing agents operated by dozens of Fortune 500 companies.\n\nWe also built ACE (Adversarial Cost to Exploit), a benchmark that measures AI security in terms of how much it costs attackers to break an AI system; providing a game-theoretic framework to understand how motivated a rational attacker would be in exploiting the system.\n\n**The Team**\n\nWe both have a lot of experience building and securing AI agents at scale.\n\nIbrahim built AI agents at Meta that diagnosed and fixed production errors. Before that, he built compilers and database engines in Fintech. He graduated from Oxford in the top 8% of his cohort.\n\nAhmed led international payments fraud team at Monzo. Before that, he was the first data scientist at a Sequoia-backed startup, where he built its fraud engine from scratch into processing more than $1B in annual B2B transactions and preventing tens of millions in losses for Fortune 150 companies. He has published several peer-reviewed research papers in Q1 journals.\n\nWe previously worked together, and have known each other for almost four years.\n\n![uploaded image](/media/?type=post&id=106270&key=user_uploads/693526/5f437cbd-2009-40cc-8c69-746da9ea8300)\n\n**The Ask**\n\nIf you ship a customer-facing (chat, voice, browser, or coding) agent, we can help you find all the failure modes and built a self-healing loop to discover, triage, and maintain secure AI agents.\n\n[founders@fabraix.com](mailto:founders@fabraix.com)",
        "url": "https://www.ycombinator.com/launches/Re2-fabraix-the-frontier-agent-that-hacks-customer-facing-ai",
        "votes": 127,
        "created_at": "2026-07-20T15:06:58.917Z"
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    "id": 32627,
    "name": "Tenor",
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    "website": "https://heytenor.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tenor is a full-stack infrastructure for building and running AI-native businesses. We’re not just an agent framework, we manage the entire loop from how AI executes work to how every action, decision, and business outcome is captured and learned from. Owning the full stack lets companies deploy governed AI workflows, understand what actually drives results, and continuously improve how their business operates without building the infrastructure themselves.",
    "one_liner": "Infrastructure for building and scaling AI-native businesses.",
    "team_size": 3,
    "industry": "B2B",
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        "full_name": "Hamze Al-Zamkan",
        "title": "Founder/CEO",
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        "full_name": "Amgad Al-Zamkan",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder @ Tenor.\nPreviously at Amazon, studied CS at UC Berkeley and TUM. As a grad student, Amgad's research focused on recommendation algorithms and shaping adaptive decision systems.",
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        "user_id": 989310,
        "full_name": "Muhtasham Oblokulov",
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        "founder_bio": "Co-founder @ Tenor. \nEarly contributor to DeepSeek and co-author of the highly cited StarCoder series and CodeClash with Stanford University. Previously deployed large-scale AI systems across global reinsurance markets.",
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      {
        "id": 110150,
        "title": "Tenor: AI that owns jobs end-to-end and is accountable for business outcomes.",
        "tagline": "Deploy AI that owns complete jobs and are measured against predefined outcomes and KPIs. Tenor's AI operates across your tools and improves its decisions with every outcome to drive better results. ",
        "body": "**TL;DR:**\n\nThe defining resource of the internet was page views. The defining resource of AI is tokens. But while companies can measure exactly what their tokens cost, they still can’t easily tell what those tokens produced. \\\nTenor connects the two. Every piece of AI work starts with an outcome and a budget. Tenor tracks the resources spent against the result produced, learns from that result, and helps determine where the next tokens should go.\\\nThat’s the bigger opportunity: not just attributing AI spend, but allocating machine intelligence toward what creates value. Once a company knows where its tokens make money, it can do more of what works, less of what doesn’t, and continuously reshape itself around where AI creates value.\n\n## 🤯 The Problem\n\nWhile companies have become good at measuring AI consumption, they still can’t tell what that intelligence produced in business value.\\\n\\\nThe internet went through a similar transition.\n\nIts defining resource was page views. Early on, advertisers could buy impressions and measure exposure. Search advertising changed the model by connecting spend to intent and outcomes. Google then turned that into an engine for allocating dollars toward what performed.\n\nAI is still early in that transition. Companies deploy copilots, agents, and automations across the organization. Each produces activity and consumes tokens. But the economic context usually lives somewhere else.\n\nWhat was this intelligence supposed to accomplish? What changed because it ran? Was the outcome worth what it cost? Should the next token go here or somewhere else?\n\nWithout those answers, AI remains largely a software expense: something companies buy and monitor rather than a resource they can economically allocate.\n\nAnd the bigger loss isn’t wasted tokens. It’s lost learning.\n\nMillions of pieces of work happen, outcomes disappear into different systems, and very little of that experience determines how the next unit of intelligence gets deployed.\n\n### ⚙️ The Solution\n\nTenor starts with the outcome.\n\nBefore intelligence is deployed, the work gets an economic identity: what it owns, what success means, what it can spend, which systems it can act on, and when humans need to intervene.\n\nNow every token is spent in service of something measurable.\n\nSo instead of: This agent consumed X.\n\nYou can ask: What did X produce?\n\nThat closes the loop: allocate → work → outcome → attribute → learn → reallocate\n\nAttribution tells you what worked. Allocation is what makes that knowledge valuable.\n\nWork that produces value can receive more intelligence. Work that doesn’t can be changed, rebuilt, or stopped. Every outcome improves the next allocation decision.\n\nOver time, that feedback loop reaches beyond individual workflows.\n\nResponsibilities move. Processes disappear. New ones emerge. Software changes around the work. The organization gradually restructures itself around where machine intelligence produces the greatest value.\n\nThat’s what we’re building Tenor for: not just to measure the token economy, but to give companies the machinery to operate inside it.\n\n## 👋 Team\n\nMuhtasham Oblokulov — AI researcher, 3,000+ citations, ICML-published. Former Senior ML Engineer at Munich Re, where his models drove $1B in revenue.\n\nHamze Al-Zamkan — President of [TUM.ai](http://TUM.ai), which he grew into Europe's largest student-led AI organization and a talent pipeline for Munich's AI ecosystem. Deployed AI systems at appliedAI, and worked on growth at Voggt and Terra. Studied CS at TUM and CDTM.\n\nAmgad Al-Zamkan — Studied CS at TUM and UC Berkeley. Researched adaptive decision systems. Automated judgment-heavy work at Amazon.\n\n![uploaded image](/media/?type=post&id=110150&key=user_uploads/2719109/0a5e6384-5ed4-4345-9e88-5c3114a5ebe0)\n\n## 🙏 Our Ask\n\nIf your AI spend is growing and your company isn't visibly getting better at its work every week, that gap is our market.\n\nWant to see what the work produces? email [hamze@heytenor.com](mailto:hamze@heytenor.com)",
        "url": "https://www.ycombinator.com/launches/Sec-tenor-ai-that-owns-jobs-end-to-end-and-is-accountable-for-business-outcomes",
        "votes": 50,
        "created_at": "2026-08-12T00:00:00.512Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Daqstra is the AI-native orchestration layer for physical R&D. It saves engineers in Aerospace, Energy and Robotics hundreds of man hours managing test infrastructure by connecting fragmented test hardware, bringing live and historical test data into one place, and by giving engineers an API to orchestrate their entire test setup. We enable teams to spend less time rebuilding test infrastructure and more time improving the hardware they test.",
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        "full_name": "Darell Chua",
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        "title": "Daqstra – Test infrastructure shouldn't bottleneck great engineering",
        "tagline": "AI-native orchestration for physical R&D testing",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR: [Daqstra](https://www.daqstra.com/) is the AI-native test orchestration platform for physical R&amp;D. We connect fragmented test hardware, capture every run, and give engineers an API to operate their test setup, helping aerospace, energy, and robotics teams spend less time rebuilding infrastructure.**\n\nHey! We’re [Anchit Kumar](https://www.linkedin.com/in/anchitk/) and [Darell Chua](https://www.linkedin.com/in/darell-chua/), the founders of [Daqstra](https://www.daqstra.com/).\n\n![uploaded image](/media/?type=post&id=106987&key=user_uploads/2547322/7ed7475e-d673-4796-9462-d40f72da12ad)\n\nWe met while testing liquid rocket engines in the Mojave Desert.\n\nThe engines were difficult, but much of the friction came from the infrastructure around them. Before each test, we connected sensors, custom electronics, NI hardware, PLCs, and controllers that were never designed to work together. After each run, the data was scattered across machines, file formats, scripts, and people’s heads.\n\nBefore we could learn from one test, we often had to reconstruct what had happened.\n\nAfter talking with teams building rockets, energy systems, robots, and drones, we kept hearing the same story: **their hardware was advancing faster than the infrastructure used to test it.**\n\n## What We Built\n\n[Watch the demo](https://www.youtube.com/watch?v=ykvD67omalI) or visit [daqstra.com](http://daqstra.com).\n\nDaqstra works with the equipment teams already have, including NI/LabVIEW, PLCs, custom DAQ systems, sensors, controllers, and vendor hardware.\n\n* **Daqstra Edge** connects hardware at the test site and records commands alongside the resulting telemetry.\n* **Daqstra Hub** stores each run with its configuration, events, notes, and engineering context, making it easier to monitor tests, compare runs, and investigate anomalies.\n* **Daqstra API** lets engineers configure hardware and execute repeatable test sequences through software.\n\nTogether, these give teams one interface across otherwise incompatible hardware without forcing them to replace their existing stack.\n\n## What We’re Already Doing\n\nWe’re working with advanced hardware teams across aerospace, energy, and drones. Our active aerospace programs use Daqstra day to day across fragmented, multi-vendor test environments.\n\nIn energy, we’ve signed a pilot with a palm oil processor targeting $100K+ in annual savings by reducing recoverable oil lost through its effluent stream. We’re also helping drone teams unify telemetry, control, and test data across vehicles and ground systems.\n\n## Who We’d Love to Meet\n\nIf you lead test, propulsion, integration, validation, or hardware engineering and run frequent instrumented tests, we’d love to talk.\n\nDaqstra is especially useful if your team:\n\n* Works across vendor equipment, PLCs, custom electronics, and in-house software\n* Reconfigures its setup between tests or struggles to compare runs\n* Relies on a few engineers who understand the entire test environment\n\nWe’re initially focused on aerospace, energy, drones, and robotics. If this sounds like your team, reply here or email [**team@daqstra.com**](mailto:team@daqstra.com).\n\nIf it sounds like someone you know, we’d appreciate an introduction to the person responsible for test infrastructure, integration, or validation.\n\n**Ad Astra Per Daqstra**",
        "url": "https://www.ycombinator.com/launches/Rpb-daqstra-test-infrastructure-shouldn-t-bottleneck-great-engineering",
        "votes": 10,
        "created_at": "2026-07-23T19:42:19.138Z"
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    "long_description": "The best investments come from conviction, and conviction comes from understanding a market deeply: its customers, its competitors, and where it's heading.\r\n\r\nToday that understanding is slow and expensive to build. Reaching the right people takes weeks, a commercial study costs $300k+, and each one starts from scratch.\r\n\r\nLATO does this research end-to-end, combining public data and the fund's own knowledge with first-hand interviews of a market's consumers, experts, and operators. \r\n\r\nThis research grounds a simulation of the market to predict how market participants behave.",
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    "city": "San Francisco",
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        "full_name": "Tymek Staniszewski",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at LATO - we predict how market participants behave\nPreviously 6 years in private equity at Verdane ($11B AUM)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tymeks/",
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        "full_name": "Tien Chu",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at LATO (S26), the agent-native research and simulation platform for investors. Previously ML and SWE across enterprise R&D, research labs, and early-stage startups. Studied CS, Math, and Philosophy at University of Warsaw.",
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        "linkedin_url": "https://www.linkedin.com/in/chutien/",
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        "id": 110614,
        "title": "LATO - Research any company or market in days",
        "tagline": "LATO enables private equity investors to do commercial due diligence in days",
        "body": "[ ](https://youtu.be/1I4wuRJqanE)\nThis year alone, private equity deployed over $1 trillion. To get conviction on a deal, investors run commercial diligence - it costs c.$500k and takes weeks.\\\n\\\nOur agents source and interview hundreds of experts in any language at scale.\\\nThey combine this expert knowledge with public and proprietary data to deliver fully traceable reports.\\\n\\\nWe already work with leading funds that push the frontier.\n\nIf you are spending too much time and capital on this - schedule a demo at: <https://www.latolabs.io/book>\\\n\\\nWe'd love to show you how the future looks.",
        "url": "https://www.ycombinator.com/launches/Sm6-lato-research-any-company-or-market-in-days",
        "votes": 20,
        "created_at": "2026-08-17T19:00:00.215Z"
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    "name": "Ekho Labs",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Ekho predicts the wars, strikes and tariffs that break global shipping, and tells freight teams which shipments are exposed and what to do about them. Predicting escalation is what our team did for eight years before this - now we bring the same engine to logistics.",
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        "full_name": "Alina Park",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Ekho Labs. Previously Founding Engineer at Inca Digital, where she built a DARPA-funded AML platform, deployed across DoD, CFTC, PayPal, and more. \n\nAwarded Innovator of the Year by CFTC, prev. built Yachay AI, achieving state-of-the-art text-based geolocation (30km median error, 80+ languages). \n\nGuest speaker at Columbia MBA and Stanford Engineering.",
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      {
        "id": 109994,
        "title": "Ekho Labs - Forecasting Supply Chain Disruptions",
        "tagline": "Decision Engine for Supply Chains",
        "body": "**TLDR:**\n\n**Companies with global supply chains lose money to every small disruption. Ekho makes sure they don't.**\n\n**Problem:**\n\nManufacturing means choosing suppliers, booking transport, and keeping pulse on new tariffs - to make sure your production is fine. Companies tend to find out about disruptions when things break and cost them millions.\n\n**Solution:**\n\nEkho customers get an early warning AND optimal solution 1-3 weeks ahead of the events. So ships keep moving, production lines keep running, and customer promises get kept.\n\nI used to build signal detection systems for DARPA. Now that same type of engine watches 1M+ sources for the industry our phones, food, and clothes depend on - Supply Chains. What you get:\n\n* **Freight forwarders:** container-level forecasts. We’ll tell you what happens, when, and what to do while freight is still available and cheap. Your clients hear about the disruption from you, not from the news.\n* **Manufacturers and retailers:** you know which inbound materials will miss the production run, launch, or retailer order - and the cheapest fix, from expediting to switching suppliers or lanes.\n\n**Proof we’re cool:**\n\n1. When the Strait of Hormuz closed in February, we correctly predicted ceasefire dates, duration, and next steps in the war (<https://ekholabs.com/blog/the-hormuz-brief/>)\n2. We already work with large global companies\n\n**Ask**\n\nIntro us to Supply Chains VPs/COO at a retail (Target, Walmart, etc.), manufacturing (Fashion, Electronics, Food, etc.), or Freight Forwarding companies.\n\n**Email:** [alina@ekholabs.com](mailto:alina@ekholabs.com)\n\n**Website:** <https://ekholabs.com/>\n\nMy hilarious twitter: <https://x.com/olenyapark>",
        "url": "https://www.ycombinator.com/launches/Sc6-ekho-labs-forecasting-supply-chain-disruptions",
        "votes": 6,
        "created_at": "2026-08-11T21:00:00.268Z"
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  },
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    "id": 32815,
    "name": "TryNearby",
    "slug": "trynearby",
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    "website": "https://trynearby.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "TryNearby connects local businesses with creators who live nearby. Restaurants subscribe monthly and automatically get booked visits from local creators who film, edit, and post a review to the local algorithm. This creates a steady stream of content that compounds into discovery on TikTok, Instagram, and increasingly AI search. Over 100 restaurants and thousands of creators are on the platform across Southern California, with AI agents handling matching, booking, and every creator conversation.",
    "one_liner": "Local creators for local businesses",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1786488480,
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      "Restaurant Tech",
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        "full_name": "Yousef Abdelfattah",
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        "full_name": "Obaida Albaroudi",
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        "full_name": "Ahmad Ibrahim",
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        "location": "CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
        "salary_range": "$120K - $150K",
        "equity_range": "0.25% - 1.00%",
        "experience": "1+ years",
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        "title": "Founding Creator & Community Lead",
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      {
        "id": 110956,
        "title": "TryNearby: Every local business needs to be discoverable. That $150B market is moving toward local creators.",
        "tagline": "Word of mouth at scale for local restaurants",
        "body": "Hey everyone,\n\nWe're Yousef, Obaida, and Ahmad, the founders of **TryNearby**.\n\nYousef co-founded FaZe Clan and spent 15 years creating content for 10M+ followers alongside hundreds of other creators. Ahmad and Obaida co-founded one of the first social media clipping companies, building the infrastructure that tracked billions of views across thousands of videos for creator campaigns. We've watched creator content become the most powerful distribution channel on the internet, and we're bringing it to local businesses.\n\n## **TL;DR**\n\n84% of small businesses on TikTok say it helped grow their business. Almost every restaurant owner we meet knows that and has no idea how to act on it.\n\nTryNearby handles it. Every month we send a new group of creators who live nearby to visit, film, and post a review, for a $399 subscription. All of it is handled by us and our AI agents.\n\nToday, 120+ restaurants are subscribed and have had 2,500+ videos posted for them. We nearly doubled one restaurant's revenue in their first month, and owners tell us people walk in every day saying \"we saw you on TikTok.\" Almost half our new restaurants now come from other owners referring us.\n\nOur launch video: <https://www.youtube.com/watch?v=lSG0v1MNwik>\n\n## **The problem**\n\nThere are about 1 million restaurants and cafes in the US. Most of them are invisible in the places people actually decide where to eat.\n\nThe options an owner has today:\n\n* Agencies cost thousands a month and often don’t drive real results\n* Influencers work, but finding the right local ones, negotiating, and doing it again every month is a job by itself\n* Creating their own content is a second full-time job they don't have time for, or a full-time hire they don't have the budget for\n\nAnd here's the thing: _the algorithm doesn't reward a business talking about itself. It rewards people talking about the business._\n\nSo the thing that actually works — someone who lives nearby posting about your food — happens once or twice, or not at all.\n\nAnd the platforms keep rewarding the ones who show up. TikTok's new Local Feed ranks by location and recency, so the restaurants getting fresh content every month reach their own neighborhood. The ones who don't, disappear.\n\n## **The solution**\n\nTryNearby is a subscription that puts local creators inside local restaurants every month, and their followers through the door.\n\n$399/month. Every month we automatically schedule a new group of vetted creators who live nearby. They come in, film, edit, and post. The restaurant just serves the food.\n\n![uploaded image](/media/?type=post&id=110956&key=user_uploads/3490413/7721f4f4-96e4-4a68-b860-841fee782765)\n\n### **Part 1 — They sign up, creators start showing up**\n\nThe moment a restaurant joins, our matching agent finds the creators nearby who fit that spot and sends the invites. Sometimes a creator is scheduled to visit within five minutes of a restaurant signing up. Creators pick their own time from the restaurant's availability. The restaurant doesn't coordinate anything or answer a single message.\n\n### **Part 2 — An AI agent runs every creator relationship**\n\nEvery creator on TryNearby is managed over iMessage by an agent we built. Onboarding, match invites, booking, reminders, reschedules, questions. It handles over 10,000 texts a month.\n\nIt also learns as it goes. Every conversation teaches it more about that creator: what they like to eat, where they'll actually drive, when they're free, what they turn down. That context feeds the matching, so the invites get better the longer someone is on the platform.\n\nFor creators, it's a personal assistant that helps them become better creators while bringing collaborations straight to their iMessage instead of them chasing restaurants.\n\n### **Part 3 — Restaurant owners get their own AI agent to text**\n\nOwners get an assistant in iMessage too. It watches every video, comment, and review, and tells them what's happening: who's visiting this week, how the last video performed, what people are saying. So when a dish sells out the week after a creator posted about it, the owner knows exactly why.\n\nOur team sits behind both agents. Anything either one can't handle gets flagged to us in seconds.\n\n![uploaded image](/media/?type=post&id=110956&key=user_uploads/3490413/5ff964f8-9013-42d7-9617-29d6ccb2164a)\n\n## **Traction**\n\n10 months in:\n\n* 120+ paying restaurants across Southern California\n* 37% month-over-month growth with over 90% monthly restaurant retention since November\n* 2,500+ videos posted by local creators → \\~35M views, almost entirely from people within a few miles\n\nWhat that turned into for the restaurants:\n\n* A restaurant in San Diego nearly doubled revenue in a single month\n* Another had a whole new demographic of customers drive a 50% increase in sales\n* Dishes featured in creator videos hit record sales the following week\n\nEvery single owner tells us the same thing: **people are walking in and saying they saw them on TikTok.**\n\n![uploaded image](/media/?type=post&id=110956&key=user_uploads/3490413/3301e743-2fef-43c4-9138-aaa5631d1eb8)\n\n## **Team**\n\n**Yousef** co-founded FaZe Clan after starting as a 14-year-old YouTuber in 2010. He spent 15 years in the creator economy, built an audience of 10M+ followers and over a billion views, and helped take FaZe public on the Nasdaq at a $1B valuation.\n\n**Ahmad** co-founded one of the first social media clipping companies, where he built the first and largest infrastructure for short-form clipping, tracking 10B+ views across tens of thousands of videos for some of the biggest creators on the internet. UC Berkeley CS, previously a senior engineer at WeightWatchers.\n\n**Obaida** co-founded the clipping company alongside Ahmad. He was an early employee at Replit, previously Goldman Sachs, and grew a consumer app from $360K to $2M ARR in 18 months. Master's in applied economics from Johns Hopkins.\n\n![uploaded image](/media/?type=post&id=110956&key=user_uploads/3490413/031126b7-4cbd-49dc-989f-ef79381b8bd9)\n\nIf you own a restaurant, know an owner who wants more foot traffic, are a local creator, or are just interested in TryNearby, we'd love to talk → 📧 [hello@trynearby.com](https://mailto:hello@trynearby.com)",
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        "created_at": "2026-08-17T18:03:07.676Z"
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        "full_name": "Virat Singh",
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        "founder_bio": "Founder at Financial Datasets. 90,000+ stars on financial agent projects on GitHub.  Previously tech lead at Faire, building search recommendations. Earlier software engineer at Airbnb (Payments, Search) and Acorns. Started career in buy-side M&A",
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        "linkedin_url": "https://www.linkedin.com/in/singhvirat/",
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        "title": "The 10 Best Financial APIs for AI Coding Tools (2026)",
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        "id": 110463,
        "title": "Financial Datasets: Stock market data for AI agents",
        "tagline": "The best way to connect your agent to the stock market",
        "body": "Hey all,\n\nVirat here, founder of [Financial Datasets](https://financialdatasets.ai/) (S26).\n\nWe make it easy for your agents to access live market data for 27,000+ global stocks through a clean and predictable API.\n\nToday, hedge funds and companies building finance agents use [Financial Datasets](https://financialdatasets.ai/) as their market data layer. We are trusted by 1,000+ customers, serving millions of requests daily.\n\n<https://www.youtube.com/watch?v=iV0N0sjZtjk>\n\n**The problem**\n\nBloomberg, FactSet, and S&amp;P spent 30 years building market data for humans staring at terminals. The entire stack assumes an analyst in the loop to interpret and verify the numbers.\n\nAgents can't use that stack. Instead, they need machine-readable schemas, natural language search, and a citation back to the source document. None of the incumbent infrastructure was built for the AI era.\n\n**What we built**\n\nThe only market API your agent needs:\n\n* A single place for your agent to gather all of its market data: fundamentals, earnings, KPIs, SEC filings, ownership, pre-IPO financials, prices, and more.\n* Live in seconds, not minutes. Financial data is parsed, structured, and queryable seconds after companies publish them.\n* Benchmarked against ground truth at 99.99% precision. Anything below that bar never reaches the API, so your agent never sees bad data.\n* Delivered over REST, an MCP server, and webhooks. Works out of the box with Claude, ChatGPT, Hermes, and OpenClaw.\n\nYou can ship our data inside your own product. Redistribution included, no per-seat pricing, no anti-AI usage restrictions.\n\n**The team**\n\nI'm Virat, founder of [Financial Datasets](https://financialdatasets.ai/). I have spent 14 years working as a software engineer at tech companies like Acorns, Airbnb, and Faire.\n\nI started Financial Datasets after getting frustrated by how difficult it was to give my agents high quality, real-time stock market data.\n\nI have been building finance agents since 2022 and posting about it daily on [X](https://x.com/virattt). My two open source projects, ai-hedge-fund (60K stars) and Dexter (27K stars), are used by professional and retail investors today.\n\n**Our ask**\n\nIf you’re building agents that touch the market, I’d love to chat. You can also try [Financial Datasets](https://financialdatasets.ai/) right now - it takes 30 seconds to set up and pull data from our API.",
        "url": "https://www.ycombinator.com/launches/Sjf-financial-datasets-stock-market-data-for-ai-agents",
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        "created_at": "2026-08-19T20:00:00.465Z"
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    "long_description": "Luca IQ is an API for deterministic tax calculation and an IRS Authorized e-filing engine - the foundation for accounting firms and fintechs building on tax.",
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    "country": "US",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 2754880,
        "full_name": "Angelo Policicchio",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Luca IQ. CPA. Previously Equity Research Associate at Credit Suisse, Forensic Accounting at the FBI, Public Accountant at EY. MBA from Harvard Business School.",
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        "user_id": 3101824,
        "full_name": "Akash Sadashivapeth",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Luca IQ. Previously Head of Data Science at Welligence Energy Analytics.\n\nStudied Data Science at Penn and an MBA from Harvard Business School.",
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        "url": "https://www.ycombinator.com/companies/luca-iq/jobs/U8IX0ke-ai-engineer",
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        "title": "Luca IQ receives IRS approval for federal 1040 e-filing",
        "url": "https://cfotech.news/story/luca-iq-receives-irs-approval-for-federal-1040-e-filing",
        "date": "Aug 03, 2026"
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        "title": "Tech news: Luca IQ launches with e-file approved tax engine for CPA firms | Accounting Today",
        "url": "https://www.accountingtoday.com/list/tech-news-luca-iq-launches-with-e-file-approved-tax-engine-for-cpa-firms",
        "date": "Jul 31, 2026"
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        "id": 108364,
        "title": "Luca IQ - An API for U.S. tax calculation and e-filing",
        "tagline": "An open API, IRS-authorized e-file tax engine for CPA firms and Fintechs",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR: We're building a modern tax engine for accountants and fintechs building on tax: a deterministic tax calculation and e-filing core behind a single API, built on the IRS's official e-file infrastructure (MeF).**\n\n## A tax return is math. It should be a function call.\n\nWe're Angelo and Akash, and we built Luca IQ, a new tax engine for accounting firms. One set of inputs in, a completed, filed return out in minutes. Not bolted onto decades out desktop software.\n\nFor CPA firms, that means more returns per preparer, less spend on labor, and a clean path off 30-year-old desktop software. For the PE groups acquiring and scaling firms, it means real operating leverage on the single most labor-intensive part of the business.\n\n<https://youtu.be/IV5nl7grMxI>\n\n**The problem.** \\~95% of US firms file their returns through just four companies, and all of them were built decades ago, for the desktop, and are closed. Firms are stuck running tax season on software that can't scale with them. Every modern AI tax tool just pushes data into that same closed software it can't control. Everyone rebuilt the interface.\n\n**What we built.** A new one, and we're opening it. A key principle: AI never does the tax math. AI and human judgment set the inputs, and a deterministic engine computes the return, with a full audit trail on every number. It's either 100% correct or it's wrong, and only a deterministic engine can promise the former. For firms, that means throughput without giving up accuracy or defensibility.\n\nOur core leverage: we're an **IRS-authorized e-file provider as a Software Developer, Transmitter, and Intermediate Service Provider**, so Luca IQ doesn't just compute the return, it e-files straight to the IRS. That full path, calculation through filing, is what firms can't get from a closed engine today.\n\n**Why now.** The profession is running out of people. 300,000+ accountants have left since 2019, and \\~70% of CPAs are near retirement. At the same time, private equity is rolling up firms and pushing hard on margin. The work isn't going away. The people are, and the pressure to do more with fewer preparers has never been higher.\n\n**Who we are.** Angelo (CEO) is a CPA who worked in forensic accounting with the FBI, Wall Street, EY and spent years working at tax firms using the legacy softwares we are now replacing. Akash (CTO) was employee #1 at a fintech data-infrastructure startup and leads engineering.\n\n**What we need:**\n\n* **CPA firms who dread tax season**, We'd love 20 minutes to show you what Luca IQ does for throughput and margin. This is who we build for.\n* **PE firms rolling up accounting practices.** If tax prep labor is your biggest cost line, let's talk.\n* **Developers and fintechs** who need 1040 calculations or e-filing. The engine is one API call, and you can build on it early.\n\nReach us at [founders@lucaiq.com](mailto:founders@lucaiq.com).",
        "url": "https://www.ycombinator.com/launches/SBo-luca-iq-an-api-for-u-s-tax-calculation-and-e-filing",
        "votes": 4,
        "created_at": "2026-07-31T14:01:23.291Z"
      }
    ]
  },
  {
    "id": 32914,
    "name": "Last Accounting Company",
    "slug": "last-accounting-company",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf21d2add4951b9271177840cd785b32579fdb0f.png",
    "website": "https://lastaccountingcompany.com/",
    "all_locations": "Helsinki, Finland",
    "long_description": "Last Accounting Company (LAC) is a full-stack AI accounting firm. We sell the same service (bookkeeping, tax filings, etc.) as a traditional accounting firm, but underneath agents handle everything and a certified accountant signs off. Our service is faster, cheaper, and fully integrated, allowing our clients to focus on what matters, not accounting admin.\r\n\r\nLAC replaces both outsourced accountants and legacy accounting software for startups and SMBs. Our system is fully proprietary, from the general ledger to the accounting agents. This allows us to create powerful self-reinforcing loops and ultimately provide a state-of-the-art accounting service.",
    "one_liner": "AI-native accounting firm.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1784575015,
    "tags": [
      "Fintech",
      "Finance",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "Finland",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/last-accounting-company",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/last-accounting-company.json",
    "year_founded": 2026,
    "city": "Helsinki",
    "country": "FI",
    "linkedin_url": "https://www.linkedin.com/company/lastaccountingcompany",
    "x_url": "",
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    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf21d2add4951b9271177840cd785b32579fdb0f.png",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 3677074,
        "full_name": "Sami Laakkonen",
        "title": "Founder",
        "founder_bio": "CEO & Co-Founder at Last Accounting Company. Built petabyte-scale data infra for clients incl. Google and Bloomberg. 2x Nordplus International Science Olympiad in Physics. Ex-fighter pilot training. CS dropout.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sami-laakkonen/",
        "x_url": "https://x.com/samilaa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c78fe557404b8f7ef13811329fbe25bb5f686606.jpg"
      },
      {
        "user_id": 2422668,
        "full_name": "Riki Karjalainen",
        "title": "Founder",
        "founder_bio": "Co-Founder at Last Accounting Company. Previously built petabyte-scale data infrastructure at Token Terminal. Applied Mathematics at Aalto University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/riki-karjalainen-22a612189",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6694a4980bf011635833fac045307bbc3efbf34.jpg"
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      {
        "user_id": 3682484,
        "full_name": "Veikko Pere",
        "title": "Founder",
        "founder_bio": "Co-Founder at Last Accounting Company. Previously at BCG and private equity at Intera Partners with IB and law internships. M.Sc. Finance and M.Sc. Laws (ongoing).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/veikkopere/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60197292925f48ab44361841ce811633735344c7.jpg"
      },
      {
        "user_id": 3657494,
        "full_name": "Pietari Virkkunen",
        "title": "Founder",
        "founder_bio": "Co-Founder at Last Accounting Company. Prev. Tech/PE/VC. M.Sc. Industrial Engineering and Management at Aalto University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pietarivirkkunen/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/530764dc365306895ac5eeed832500b2759e5ef8.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 111616,
        "title": "The Last Accounting Company you’ll ever need",
        "tagline": "Agent-native accounting firm that replaces the legacy software and the outsourced service.",
        "body": "Hey YC 👋\n\nWe’re[ Riki](https://www.linkedin.com/in/riki-karjalainen-22a612189),[ Sami](https://www.linkedin.com/in/sami-laakkonen/),[ Veikko](https://www.linkedin.com/in/veikkopere/), and[ Pietari](https://www.linkedin.com/in/pietarivirkkunen/), the founders of[ Last Accounting Company](https://lastaccountingcompany.com/).\n\n**TL;DR**\n\n**LAC is the agent-native accounting firm. \\\nAI agents do the work and our (human) accountants validate all outputs.**\n\nWe replace both the traditional accounting firm and the legacy accounting software with one end-to-end service. Founders get current books, correct filings, and an always up-to-date general ledger, not another dashboard to operate.\n\n[https://drive.google.com/file/d/100N7xvBREGMXpbgnYOUNAiFqht0Gc3EA](https://drive.google.com/file/d/100N7xvBREGMXpbgnYOUNAiFqht0Gc3EA/view?usp=sharing)\n\n**🗃️ The problem**\n\nFounders didn’t start companies to learn accounting. Yet disconnected systems turn them into the human link between their accountant, bank, payroll, invoices, and internal tools.\n\nThey find and forward data, wait for questions, track down missing context, and repeat the cycle. By the time the books are closed, the numbers are often too old to guide day-to-day decisions.\n\n**🛠 Our solution**\n\nLAC connects directly to your bank, payroll, and internal systems. Our agents:\n\n* Keep the general ledger continuously up to date\n* Handle bookkeeping, invoices, payroll, and receipts\n* Prepare filings according to local requirements\n* Surface missing information and potential issues early\n\nOur expert accountants validate the work before anything is filed.\n\nLAC also connects financial data with the tools teams already use, including ERP, CRM, and product analytics. Through our Slack agent or MCP, founders can ask questions like:\n\n* What are our burn and runway?\n* How’s our cash flow looking for Q3? Can we afford a new hire?\n* Where did spending change this quarter?\n\n**Your books stop being only a filing obligation. They become the ground truth behind every decision.**\n\nUnlike accounting tools built for one task at a time, LAC is one system—from the general ledger to the accounting agents—and we operate the service ourselves.\n\nCustomers simply get their accounting done.\n\n**👥 The team**\n\nWe’re three technical builders and one finance-and-law brain. Riki and Sami previously built petabyte-scale financial data infrastructure at Token Terminal. Veikko brings experience from BCG, private equity, finance, and law. Pietari brings engineering and sales experience across tech, VC, and PE.\n\n**🙏 Our ask**\n\nRun a startup or SMB in Europe or the US, or know someone who does?\\\nWe’d love to show you what LAC can do! A one-line intro is enough and we’ll take it from there.\n\nEmail us at: [hello@lastaccountingcompany.com](mailto:hello@lastaccountingcompany.com)\\\nSign up or read more at:[ ](https://lastaccountingcompany.com/)[lastaccountingcompany.com](http://lastaccountingcompany.com)",
        "url": "https://www.ycombinator.com/launches/T2G-the-last-accounting-company-you-ll-ever-need",
        "votes": 70,
        "created_at": "2026-08-21T17:08:00.094Z"
      }
    ]
  },
  {
    "id": 32947,
    "name": "Executor",
    "slug": "executor",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/948ce8964e024f509e8d2c3db33ab94f3acb5b17.png",
    "website": "https://executor.sh",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Executor.sh is an MCP gateway that allows you to sign in once to all of your integrations and use them with any client.\r\n\r\nWe enable you to connect your agents to anything (MCP, GraphQL, OpenAPI) so regardless of what you're trying to connect agents to you're able to.\r\n\r\nIf you're trying to scale agents to access all of your production services, data, etc, you need Executor as a unified management layer.",
    "one_liner": "The open source tool gateway",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1785345907,
    "tags": [
      "AIOps",
      "SaaS",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/executor",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/executor.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "https://x.com/executorsh",
    "fb_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1133501,
        "full_name": "Rhys Sullivan",
        "title": "Founder",
        "founder_bio": "Founder at Executor, enabling your to connect every agent to anything. Previously Software Engineer at Vercel, at Microsoft, Raven Software, and Epic Games.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rhyssullivan/",
        "x_url": "https://x.com/RhysSullivan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91ca30bf14b18325ab55dfdc29d5723fab969094.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 108331,
        "title": "Executor — One place to connect your agents to everything",
        "tagline": "Connect your tools once and every agent has them, with permissions you control",
        "body": "**TL;DR:** Executor is your tool gateway. Connect every service and every account once, set per-tool permissions, and any MCP-compatible agent (Claude Code, Codex, Cursor, whatever ships next) reaches all of it through one endpoint. Try it at [executor.sh](https://executor.sh).\n\nhttps://youtu.be/NWYFpDW02Dw\n\n## The problem\n\nYou don't have one agent anymore. You have Claude Code, a ChatGPT account, Cursor, maybe a box in the corner running jobs overnight. Three problems follow:\n\n1. **Every agent wants its own OAuth into everything.** You connect your calendar to the tenth harness in a slightly different way, tokens expire, connectors deprecate, and each agent is missing something when you need it.\n2. **Most connectors stop at one account per service.** One Google login means your agent sees your work calendar or your personal one, never both. Your flights land in one inbox, your meetings in the other, and no agent can reason over your actual day.\n3. **Permissions are an afterthought.** Once an agent holds a token, it can do anything that token allows. Giving an agent your email shouldn't mean trusting it to never hit delete.\n\n## What Executor does\n\nConnect once in Executor, and sever all the one-off connections.\n\nEach integration gets credentials plus a per-tool policy: **always allowed**, **needs approval**, or **blocked**. Point any MCP-compatible agent at Executor and it has everything.\n\n- **All your accounts, not just one.** Accounts are connections: work and personal Gmail, two calendars, a staging and a production Stripe, side by side. Every agent sees all of them.\n- **One tool shape.** MCP, OpenAPI, and GraphQL integrations all normalize into a consistent name + schema. 1,600+ tools collapse into a single ~1k-token surface instead of ~280k tokens of tool definitions.\n- **Safe by default.** Executor preserves operation semantics (GET vs DELETE, destructive hints, GraphQL mutations), so agents auto-run safe operations and ask before risky ones.\n- **Sandboxed execution.** Tool calls run in an isolated JavaScript sandbox; secrets are injected host-side, so the model never sees a raw token.\n- **Team-ready.** Per-user and shared credentials. Onboard the team once, not per agent per person.\n\nBecause enforcement lives in Executor rather than in any agent framework, you can adopt whatever new agent ships next week without re-thinking data access. You keep everything first-party connectors offer and gain what they don't: multiple accounts per service, per-tool policies, and one place to see and revoke access.\n\n## How to use it\n\n- **Local:** open-source (MIT) desktop app and CLI, everything stays on your machine\n- **Self-hosted:** a Dockerfile that lets your team own all its data\n- **Executor Cloud:** hosted, nothing to manage\n\n## Traction\n\n- 2,800+ GitHub stars, ~14k npm downloads/week, ~3,000 users on the local version\n\n## Background\n\nSolo technical founder, previously at Vercel. Before Executor I built [answeroverflow.com](https://www.answeroverflow.com) and grew it to 1.5M monthly users as a solo dev, bootstrapped.\n\n## Asks\n\n1. **Try it and tell me where it breaks.** [executor.sh](https://executor.sh) has a \"Copy prompt\" setup you can paste into your agent to get started.\n2. **Intros:** if your team (or one you know) is drowning in per-agent integration setup, I'd love an intro: rhys@executor.sh\n3. **Star the repo:** [github.com/UsefulSoftwareCo/executor](https://github.com/UsefulSoftwareCo/executor)\n4. **Want a walkthrough?** Grab a time: [cal.com/rhys-sullivan/executor-chat](https://cal.com/rhys-sullivan/executor-chat)\n",
        "url": "https://www.ycombinator.com/launches/SBH-executor-one-place-to-connect-your-agents-to-everything",
        "votes": 9,
        "created_at": "2026-08-04T15:41:42.736Z"
      }
    ]
  },
  {
    "id": 32948,
    "name": "Waybill",
    "slug": "waybill",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b91adedb53afabc881281324143485f1dc3c6674.png",
    "website": "https://www.waybill.to/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Hardware teams burn weeks on procurement. An engineer needs a part. Someone emails five distributors, chases quotes, gets an approval, wires the money, tracks a shipment across three carriers, clears customs, and then nobody knows where the box is or what's actually on the shelf.\r\n\r\nWaybill runs that entire loop. Send us a part, a spec, or a BOM. We source it, pull quotes, route approvals, pay the supplier, handle freight and customs, track it to your dock, and keep your stock count updated. \r\n\r\nTake your supply chain for granted.\r\n\r\nBuilt by a team that's seen it at LAT Aerospace and WareIQ (YC S20).",
    "one_liner": "Agentic procurement & inventory for deep tech teams.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1786690936,
    "tags": [
      "Logistics",
      "Procurement",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Supply Chain and Logistics"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/waybill",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/waybill.json",
    "year_founded": 2026,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/waybill-inc",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 1071184,
        "full_name": "Rishi Laddha",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Waybill. Previously managed operations, supply chain, and government relations at LAT Aerospace (founded by Deepinder Goyal of Zomato). Built and scaled AI trade assistants at INDmoney. BTech in CS & AI from Plaksha University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rishiladdha",
        "x_url": "",
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      },
      {
        "user_id": 1476118,
        "full_name": "Tushar Goyal",
        "title": "Founder",
        "founder_bio": "Founder at Waybill (S26). Previously built AI and software at WareIQ (S20). Computer Science, Plaksha University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thetushargoyal/",
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    "launches": [
      {
        "id": 111330,
        "title": "Waybill - Procurement autopilot for hardware teams.",
        "tagline": "Take your supply chain for granted.",
        "body": "Hi YC 👋 we're Rishi and Tushar, and we're building Waybill (<https://waybill.to>).\n\n**TL;DR:** Waybill runs procurement for hardware and deep-tech companies, end to end. An engineer tells us what part they need. Our agents and humans source it anywhere in the world, get quotes, handle payment, shipping, customs, last mile, log it into inventory and match the invoices. One system of record from request to stock. We don’t stop at the ‘order placed’. We make sure it reaches your shelf. A few crazy things Waybill was asked to source &amp; order -\n\n1. A lifetime supply of an obsolete RF component\n2. Cessna aircraft. Yes, real airplanes\n3. Industrial Robots\n\nLaunch video: <https://youtu.be/JPxhZFZ5xco>\n\n**Backstory**\n\nI (Rishi) ran operations at LAT Aerospace (Deepinder Goyal’s aerospace startup) as part of their founding team. On paper, that meant \"sourcing.\" In practice, it meant finding jet engines, flight controllers, high-density batteries, and satellite radios for a very ambitious aerospace program, then moving machinery and merchandise worth millions across borders, and finding and operating real estate you can actually fly aircraft from. I also handled government liaisoning, which is a polite way of saying I convinced the world's harshest bureaucracy to approve things it didn't have a form for, like taking off and landing an aircraft in under 50 meters.\n\nTushar has been working the other end of this problem his whole career. At WareIQ (YC S20), he built the autonomous inventory system behind 400+ Indian D2C brands - forecasting demand and making buying decisions across thousands of volatile SKUs without blowing up working capital.\n\nSo between us: I've spent my career buying hardware the hard way, and Tushar's spent his teaching machines to manage inventory. Waybill is both jobs in one system.\n\n**The problem**\n\nHardware engineers spend a big chunk of their week buying parts. They can't hand it off to operations folks, because only the engineer who specified the part knows which alternates are acceptable. And finding parts is genuinely hard: stock is scattered across distributor catalogs, resellers, and Alibaba listings, and packaging suffixes, obsolete part numbers, and regional inventory make the same part look like six different parts. It's a search, not a lookup.\n\nAll of this runs on email, WhatsApp, and spreadsheets. No system of record, and context dilutes at every handoff. Parts land late, arrive undocumented, or get bought twice. I know because at LAT, _I was the system of record_. It didn't scale.\n\n**What we built**\n\nAn engineer tells Waybill what they need. Our agents find every authorized distributor and manufacturer rep stocking that part anywhere in the world, request quotes and lead times, and rank the options by what the customer actually cares about. A defence company only wants suppliers from allied nations. A medical device company needs provenance. Everyone else wants the right balance of cost, lead time, and complexity.\n\nIf no distributor has it, our network in India, China, and Southeast Asia finds it. If a supplier can't ship to the customer's country, we pick up the box and ship it ourselves.\n\nOnce the order is placed, our agents prepare the customs paperwork, a licensed broker files it, parts are received into inventory automatically, and the invoice is automatically matched against the PO and import documents. The next time someone asks for that part, the agent says it's already on the shelf.\n\nAnd when a customer moves from R&amp;D to production, the same system scales with them. Demand comes off the BOM and build schedule - reorder points, second sources, volume pricing - and we already hold every order, price, and lead time they've ever had.\n\nMost procurement software ends at an approved PO. We end at a physical part on a shelf, customs-cleared and invoice-matched.\n\nRippling made the employee the first-class object and built every service around it. We're doing the same for the part.\n\nHere are a few crazy things engineering teams asked Waybill to procure in the two weeks that we’ve been live -\n\n1. A lifetime purchase of an obsolete RF component\n2. Cessna aircraft. Yes, real airplanes.\n3. Industrial Robots\n\n**Where this goes**\n\nA hardware company should be able to ask us for anything physical and get it. Today that's parts. Next it's PCB fab and assembly, CNC machining, 3D printing, tooling, trucking, warehousing, and allocation on ships and planes. The interface never changes: say what you need, and it arrives.\n\n**Asks**\n\n1. Hardware and deep-tech founders - we want to run your procurement. Comment, DM, or email me at [rishi@waybill.to](mailto:rishi@waybill.to). We’re company size agnostic.\n2. Intros to procurement leads at hardware enterprises. If you know one, we'd love a connect.\n\n**Ask for it and it shows up. Take your supply chain for granted.**",
        "url": "https://www.ycombinator.com/launches/Sxe-waybill-procurement-autopilot-for-hardware-teams",
        "votes": 13,
        "created_at": "2026-08-20T03:30:00.319Z"
      }
    ]
  },
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    "id": 32988,
    "name": "Markov",
    "slug": "markov",
    "former_names": [],
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    "website": "https://www.markovstudios.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Markov builds expert computer-use datasets for frontier AI labs. Our datasets include screen recordings + mouse/keyboard actions of professionals using CAD, design and enterprise software.\r\n\r\nWe work with the top AI labs and we’ve gotten more than 350k downloads on HuggingFace. Our long-term goal is to be the full stack platform for computer-use AI, starting with data and then the infrastructure to train and deploy computer-use models.\r\n\r\nDev and Harish are technical co-founders. Dev studied aerospace engineering at IIT Madras and was the youngest team member at Sarvam - India’s top AI lab. Harish is an Emergent Ventures grantee and his prior robotics work was featured in top national publications.",
    "one_liner": "Expert computer-use data for frontier AI labs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1782277833,
    "tags": [
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      "Data Labeling",
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/markov",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/markov-artificial-intelligence/",
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      "name": "Harshita Arora",
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      {
        "user_id": 1783684,
        "full_name": "Dev Mandal",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Markov. Prev at Sarvam, Aerospace engineering at IIT Madras",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dev-mandal-iitm/",
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      {
        "user_id": 2921049,
        "full_name": "Harish Ashok",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Markov. Previously founded Zenith, a robotics company building AI-assisted hardware workflow tools. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/harish-ashok",
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    "launches": [
      {
        "id": 109874,
        "title": "Markov - Data for computer-use AI",
        "tagline": "150K+ downloads across our HuggingFace datasets",
        "body": "# \\*\\*\\*\\*\n\n**TLDR;**\n\n* **Markov builds the data infrastructure for computer-use AI**, collecting synchronized screen recordings, mouse/keyboard actions, and annotations from real workflows.\n* **We specialize in hard-to-source expert data** **across CAD, architecture, engineering**, and other professional applications.\n* **We’ve already sold 15,000+ hours of data to frontier AI labs** and open-sourced leading computer-use datasets with **150k+ downloads on HuggingFace**.\n\n<https://youtu.be/WervE6pZ9TM>\n\n**The Problem:**.\n\nWhile frontier models have gotten much better at reasoning, they still struggle to reliably complete long, multi-step workflows across real desktop software. **The biggest bottleneck is the lack of high-quality training data.**\n\nTraining these models requires **synchronized screen recordings, mouse and keyboard actions, and high-quality annotations from people doing real work**. This is especially scarce for expert workflows in domains like CAD, architecture, engineering, finance, and other professional software.\n\n**That’s where we come in:**\n\nWe work with a vetted network of expert contributors to collect high-quality computer-use data across:\n\n* Consumer applications\n* Productivity software\n* Accounting and finance\n* CAD, architecture, engineering, and other expert workflows\n\n![uploaded image](/media/?type=post&id=109874&key=user_uploads/1783684/ba673ff4-e489-4753-b11b-4797762834fb)\n\n**So far we've:**\n\n* Sold more than 15,000 hours of data to frontier AI labs\n* Open-sourced the [**largest dataset of computer-use screen recordings**](https://x.com/DevvMandal/status/2032104265121140924?s=20)(**150k+ downloads on HuggingFace**)\n* Released the [**largest open gaming computer-use dataset**](https://x.com/DevvMandal/status/2072357115847671990?s=20)\n\n**Our Ask:**\n\nIf you're building computer-use agents and need high-quality training data - or have interesting workflows you'd like collected - we'd love to chat **:)**\n\nBook a meeting with us at <https://cal.com/dev-markov/30min> Or shoot us an email at [founders@markovstudios.com](mailto:founders@markovstudios.com)",
        "url": "https://www.ycombinator.com/launches/SaA-markov-data-for-computer-use-ai",
        "votes": 11,
        "created_at": "2026-08-11T18:00:00.277Z"
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  },
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    "id": 33014,
    "name": "Inkbox",
    "slug": "inkbox",
    "former_names": [
      "Inkbox (Vectorly Inc)"
    ],
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    "website": "https://inkbox.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "For your AI agents to behave like teammates, we give them persistent identities with their own email, phone, and iMessage. We also provide them an agent-to-agent channel, so they can communicate for task delegation.",
    "one_liner": "The identity and communication layer for AI agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1782881612,
    "tags": [
      "Developer Tools",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/inkbox",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/inkbox.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/inkbox-ai",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
      {
        "user_id": 778892,
        "full_name": "Ray Liao",
        "title": "Founder/CEO",
        "founder_bio": "PhD in Computer Science from MIT. Previously cofounder/CTO at Empallo, an AI-powered virtual clinic for cardiovascular care.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ruizhi-liao/",
        "x_url": "https://x.com/rayruizhiliao",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af788a5cd4056a418504ce1f6575ee97d05e4f22.jpg"
      },
      {
        "user_id": 2770188,
        "full_name": "Dima Vremenko",
        "title": "Founder",
        "founder_bio": "Co-founder at Inkbox. Previously Research Associate at Harvard Medical School, where he built ML pipelines for clinical prediction models using gigapixel pathology images and EHRs, co-authored 6 publications, and contributed to an R01 NIH Grant. BS in Biochemistry and Computer Science from Northeastern.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dimavrem/",
        "x_url": "https://x.com/DVremenko",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03bf2d678fb1434af863ffe50748028f1b1ddf01.jpg"
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      {
        "user_id": 2773563,
        "full_name": "Alex Wilcox",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder at Inkbox. Previously ML engineering and computer networking research. MS in CS and dual BS in Math and Econ from Northeastern University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alxwlcx",
        "x_url": "https://x.com/alxwlcx",
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      {
        "id": 104960,
        "title": "Inkbox: Give your AI agents email, phone, iMessage, and an internet address",
        "tagline": "The identity and communication layer for AI agents",
        "body": "**TL;DR:** Inkbox is the identity and communication layer for AI agents: giving agents their own email, phone, iMessage, and internet address. Inkbox pulls together what your agent sees across email, calls, iMessage, and more, so your agent can act on the full context.\n\nHey YC! We're Ray, Alex, and Dima building Inkbox.\n\n**How we got here**\n\nA few months ago we were building web-automation agents. Every time an agent needed to log into a portal, it had to receive a confirmation email or get a 2FA code. And when we were away from our desks, we wanted to seamlessly contact the agents themselves: text them, check in, get a reply. We ended up stitching together services like Gmail, Twilio, and ngrok: separate services, each built for humans, none of them sharing any identity or context. \n\nThat's the problem we set out to fix. We didn't need another email or voice API. We needed one service to tie its identity together with rich context. So we built it.\n\n[**Launch video**](https://www.youtube.com/watch?v=oJKl6tPHxRA)\n\n**What Inkbox does**\n\nOur API gives every agent:\n\n* A unique email inbox (+ custom domain)\n* A phone number that can call and text\n* iMessage\n* A persistent internet address (HTTPS tunnel) to receive internet traffic, like webhooks\n* An encrypted credential vault with TOTP/2FA\n\n**Who we are**\n\n* Ray (CEO): CS PhD from MIT; previously cofounded Empallo, an AI virtual clinic for cardiovascular patients.\n* Alex (CTO): MS in CS @ Northeastern. Previously ML engineering and computer networking research.\n* Dima (CAIO): built ML pipelines on gigapixel pathology images at Harvard Medical School; co-author on 6+ peer-reviewed publications.\n\n[**Quick demo with Claude**](https://www.youtube.com/watch?v=MTVkW_EG-Y4): Watch Claude Code provision an email, phone, and iMessage in a Minute.\n\n**Our ask**\n\n* **Try it**. Drop Inkbox into your preferred agent harness: we have plugins for[ Hermes](https://github.com/inkbox-ai/hermes-agent-plugin),[ OpenClaw](https://github.com/inkbox-ai/openclaw-plugin),[ Claude Code](https://github.com/inkbox-ai/claude-code-plugin), and[ Codex](https://github.com/inkbox-ai/codex-plugin). Each one runs a wizard that provisions Inkbox resources for your agent.\n* **Ask your agent to self signup**. _Sign up for an Inkbox email account by following the guide at[ https://inkbox.ai/docs/get-started/agent-signup.md](https://inkbox.ai/docs/get-started/agent-signup.md) and refer to[ https://inkbox.ai/llms.txt](https://inkbox.ai/llms.txt) for full documentation._\n* **Intros**. We'd love intros to teams running fleets of agents that each need their own identity to act in the real world: reaching out to people and businesses (email/phone/iMessage), holding their own accounts, and authenticating with a built-in credential vault.\n\nContact Ray at [ray@inkbox.ai](mailto:ray@inkbox.ai). Would love your feedback.",
        "url": "https://www.ycombinator.com/launches/RIu-inkbox-give-your-ai-agents-email-phone-imessage-and-an-internet-address",
        "votes": 21,
        "created_at": "2026-07-08T00:25:54.653Z"
      }
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    "id": 33019,
    "name": "Agnost AI",
    "slug": "agnost-ai",
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    "website": "https://agnost.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Agnost AI reads every conversation a company's AI Agent has with its users to find where it's silently failing and then turns that same data into custom models that run the agent better, faster & cheaper than frontier models.",
    "one_liner": "We find where AI agents fail, then train better models to run them.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1783481375,
    "tags": [
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      "Machine Learning",
      "Analytics",
      "Monitoring",
      "AI"
    ],
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/agnost-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/agnost-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/agnostai",
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      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1987056,
        "full_name": "Shubham Palriwala",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Agnost AI.\nYoungest Engineer on Cisco's Analytics team, First Hire at Formbricks (Open-Source Qualtrics), wrote code in Bitcoin & other open-source projects across OWASP and the Linux foundation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shubhampalriwala/",
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      {
        "user_id": 2055517,
        "full_name": "Parth Ajmera",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder/CTO at Agnost AI. Graduated in Computer Science from IIT Madras, ranking 159 among over 1 million candidates. Previously led graphics engineering at Infurnia and built terabyte scaled data pipelines at Microsoft",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/parthajmera/",
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      {
        "id": 111310,
        "title": "Agnost AI: Turn Your Agent Traces Into a Faster, Cheaper, & more Accurate Custom Model",
        "tagline": "We use your agent’s production traces to train a specialized model that performs better, responds faster, and costs less.",
        "body": "Your agent logs aren’t just for debugging. They’re your training data.\\\nHey YC! We’re Shubham and Parth, childhood friends and founders of Agnost AI.\n\n**TL;DR**: Agnost AI uses your agent’s production traces to train a model specialized for your exact workload. Our first custom model for our customer delivered them a:\n\n* 22.9% higher task success,\n* 90.2% lower median latency, and\n* 94.5% lower cost than Opus 4.8.\n\nDemo: <https://youtu.be/R3NyWNYXHu4>\n\n### What we found\n\nA few weeks ago, we launched Agnost AI as product analytics for AI agents. We read conversations between users and agents to uncover failures, behavior drift, hallucinated links, frustration, and churn signals.\n\nWe expected to find bugs. Surprisingly, we also found a lot of infrastructure waste. Many customer-facing agents use frontier models for narrow, repetitive jobs:\n\n* Route a request to the correct tool\n* Have a narrow system prompt with the given inputs\n* Retrieve the relevant data from internal tool calls\n* Parse &amp; format the final response\n\nThe underlying frontier model can write code, solve advanced mathematics, understand biology, and reason across hundreds of domains. **Your agent uses a small, repeatable slice of that capability while paying frontier-model prices for every request.**\n\n### We trained a specialist\n\nWe used historical production traces to train our first workload-specific model for an early customer: **agnost-&lt;redacted>-0.1**\n\nWe evaluated it against Opus 4.8 on 780 held-out customer traces for an Identifier Extraction Agent. The results:\n\n* Task success: 71.5% → 87.9%, 22.9% relative improvement\n* Median latency: 4.80s → 0.47s, 90.2% lower\n* Tail latency: 11.20s → 1.35s, 87.9% lower\n* Cost per 1,000 completed tasks: $42.00 → $2.30, 94.5% lower\n\nThis is one model for one workload, not a claim that specialist models should replace frontier models everywhere.\n\nFrontier models remain the right choice for open-ended work. But once an agent’s production job becomes predictable, **paying for general intelligence on every request stops making sense**.\n\n### How it works\n\n1. Send your existing traces to Agnost through OpenTelemetry or our SDK.\n2. We identify the recurring workflows your agent performs.\n3. We create an eval set from held-out production traces.\n4. We train a specialist model on the historical workload.\n5. We benchmark it against your current model on success, latency, and cost.\n\nYou only consider switching when the specialist wins on your own workload. Your logs go from debugging data to evaluation data and finally to training data recursively.\n\n### Who we are\n\nWe’re childhood friends, eight years and counting.\n\n* Shubham: Youngest engineer on Cisco’s analytics team, first hire at Formbricks, and contributor to Bitcoin, OWASP, and the Linux Foundation.\n* Parth: IIT Madras CS, ranked 159 out of 1.5 million. Built Spark pipelines at Microsoft and led GPU technology at Infurnia.\n\n### Our ask\n\nIf you have meaningful daily traffic, send us an anonymized trace export. We’ll analyze the workload, build a held-out evaluation set, and tell you whether a specialist model is worth training. If it is, we’ll benchmark it against your current frontier model.\n\nEmail me at [shubham@agnost.ai](mailto:shubham@agnost.ai) or book a call at [call.agnost.ai](http://call.agnost.ai)\n\nMore about us at: [agnost.ai](https://agnost.ai)\n\n![uploaded image](/media/?type=post&id=111310&key=user_uploads/1987056/6599ed29-ddf9-4d02-9232-425af1535be7)\n\n",
        "url": "https://www.ycombinator.com/launches/SxK-agnost-ai-turn-your-agent-traces-into-a-faster-cheaper-more-accurate-custom-model",
        "votes": 97,
        "created_at": "2026-08-20T16:00:00.252Z"
      },
      {
        "id": 107260,
        "title": "Agnost AI: Product Analytics for AI Agents",
        "tagline": "We read every conversation your users have with your agents & chatbots and surface hidden insights & product feedback. We are working with teams at Google, Exa and Corgi",
        "body": "**Your users are telling your agent exactly why they churn! You’re not listening.**\n\nHey YC! We’re Shubham and Parth, childhood friends, founders of **Agnost AI**.\n\n**TL;DR: Agnost AI reads every conversation your chat or voice agent has with your users. We show you what your users want, where they get frustrated, and why they leave.**\n\n**The feedback hiding in your logs becomes discoveries, evals, and fixes ready to ship. We’re already processing over 1 million events every day and growing.**\n\nTry us out at[ agnost.ai](http://agnost.ai)\n\n### <https://www.youtube.com/watch?v=gKyhf6rUELg>\n\n### **The problem**\n\nTraditional product analytics were built for clicks.\\\nObservability was built for token costs, latencies, and deterministic errors.\n\nBut every product is rapidly moving from UI to conversation, and agent failures don’t look like traditional failures. The LLM returns 200 OK and says “sorry, I can’t do that.” The real failures are hiding in your conversations:\n\n* “can it remember this for next time?” → feature request\n* “you said it’s done, but nothing happened” → bug\n* “i’ve told you this three times already” → frustration\n* “nvm i’ll just do it myself” → churn\n\nToday teams throw more evals at this. But evals only tell you whether you fixed something, not what to fix. You can’t write a test for a problem you haven’t discovered yet.\n\n### **How it works**\n\n1. **Install our skill:** 3 lines of code, or point your OpenTelemetry exporter at us. Any LLM, any framework. Add any custom metadata like user tier, model versions, etc. We’re at:[ docs.agnost.ai](http://docs.agnost.ai)\n2. **Every conversation becomes a signal:** feature requests, bugs, frustration, churn risk, failed upgrades. Detected for your product, with the exact users &amp; conversations behind each.\n3. **The insight becomes action:** when hundreds of users rageprompt at your agent due to a specific bug, Agnost AI hands you the insight with the exact conversations behind it: \n   * create an eval from it\n   * debug it,\n   * or let Agnost fix it itself: our GitHub app opens a PR, tested against your past conversations, so you know it works before it ships.\n\n   Your agent gets better every week.\n\n### **Who we are**\n\nChildhood friends, 8 years and counting.\n\n![uploaded image](/media/?type=post&id=107260&key=user_uploads/2055517/e3c2eaad-8b6e-4ec0-abfa-b16074688963)\n\n**Shubham**: Youngest engineer on Cisco’s analytics team, First Hire at Formbricks, Wrote code in Bitcoin, OWASP, and the Linux Foundation.\n\n**Parth**: IIT Madras CS (ranked 159 of 1.5M), built Spark pipelines at Microsoft, Led GPU tech at Infurnia (\\~$1M ARR).\n\n### **Our Asks**\n\n1. **Building a chat or voice agent?** Sign up &amp; I’ll personally find 3 insane things going on in your agent traces that you’d have no idea about.\n2. **Know a founder whose product is an agent?** Intro us, 40’ monitors (to monitor your agents) on us: [shubham@agnost.ai](mailto:shubham@agnost.ai)\n3. **Try it:** Free tier:[ agnost.ai](http://agnost.ai)",
        "url": "https://www.ycombinator.com/launches/Ru0-agnost-ai-product-analytics-for-ai-agents",
        "votes": 191,
        "created_at": "2026-07-24T15:53:30.811Z"
      }
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    "id": 33045,
    "name": "Axelrod",
    "slug": "axelrod",
    "former_names": [
      "Axelrod Labs Inc",
      "Axelrod Labs"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fbd96bca4da9de9db65dd46c8e36b9fdaa3e168.png",
    "website": "https://axelrodlabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Autonomous software for hotels that takes over all front-of-house and back-of-house tasks with zero integrations, running operations better than your staff would. Axelrod is trusted by Michelin Key awarded and Marriott hotels and is live across 3 continents.",
    "one_liner": "Hotels that run themselves",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1784236014,
    "tags": [
      "Travel",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/axelrod",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/axelrod-labs/",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 3649756,
        "full_name": "Adrian Lucas Tariel Stoica",
        "title": "Founder",
        "founder_bio": "Founder at Axelrod (YC S26). Previously research on AI Awareness. Co-produced records totaling 40M+ streams at Sony Music. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stoicaadrian/",
        "x_url": "https://x.com/AdrianLTStoica",
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      },
      {
        "user_id": 2112304,
        "full_name": "Saman Sayahpour",
        "title": "Founder",
        "founder_bio": "Founder at Axelrod (YC S26). Dropped out of Carnegie Mellon's B.S. in Logic & Computation. Previously researched causal machine learning, prediction markets, photonic computing and collective decision-making. Admitted to study mathematics at the University of Vienna at 14.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sayahpour/",
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    "launches": [
      {
        "id": 109442,
        "title": "Axelrod - Autonomous agents that run luxury hotels",
        "tagline": "Agents that execute every non-physical front- and back-of-house task inside the hotel's existing system",
        "body": "**TL;DR:** Axelrod deploys agents in boutique and luxury hotels. Agents execute all non-physical front-of-house (FoH) and back-of-house (BoH) tasks inside the hotel's existing systems, just like your staff would, in order to deliver a hyper-personalized guest experience.\n\n\\\n**The problem**\n\nRunning a hotel is a grind of manual, repetitive work. Staff are occupied with menial administrative tasks that do not directly improve the guest experience. Small operators burn their own hours on it, large operators hire teams. Either way it kills time or margins. Existing software is just one more thing to manage, it doesn't do the work for you.\n\n<https://youtu.be/hFbl6zTruqU>\n\n**How we solve it**\n\nAxelrod maps the hotel's entire operation, then runs an agent workforce on top of it. The harness is purpose-built for hotel operations, powered by a memory layer that holds your property’s standard operating procedures and every guest’s history across stays, as well as an orchestration layer that breaks a request into tasks, routes each to the right role-agent and coordinates them across departments.\n\nWith computer- and browser-use, our agents drive the hotel's existing stack (PMS, POS, RMS) the way your staff do, with no MCPs, APIs, or integrations. That’s how Axelrod runs on the fragmented, legacy software real hotels actually use.\n\nAxelrod augments every single role in the hotel staff: one butler can cover 4x the rooms. Because each agent has full context, it can adequately assess guest needs and makes sure nothing falls through the cracks. Agents start fully supervised and earn autonomy as they prove themselves, so hotels hand over the operations at their own pace. \n\nWe’re trusted by Michelin-Key awarded hotels and live across four continents.\n\n**Why us**\n\nWe both grew up in the hospitality industry and have worked on both sides of the desk.\n\n**Our ask**\n\nIntros to executives at hotel management groups, luxury hotel owners and general managers as well as hotel CTOs/CIOs.\n\n**Contacts**\n\n[Adrian Lucas Tariel Stoica](https://www.linkedin.com/in/stoicaadrian/): \\\n[adrian@axelrod.live](mailto:adrian@axelrod.live) \\\n\\\n[Saman Sayahpour](https://www.linkedin.com/in/sayahpour/): \\\n[saman@axelrod.live](mailto:saman@axelrod.live)",
        "url": "https://www.ycombinator.com/launches/STC-axelrod-autonomous-agents-that-run-luxury-hotels",
        "votes": 13,
        "created_at": "2026-08-06T13:00:12.647Z"
      }
    ]
  },
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    "id": 33046,
    "name": "CarSignal",
    "slug": "carsignal",
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    "website": "https://www.trycarsignal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CarSignal is the AI-native operating system for independent auto repair shops.\r\n\r\nMost shops still run each repair across disconnected management software, scan tools, parts catalogs, service information, texts, spreadsheets, and knowledge kept in technicians’ heads. That fragmentation slows diagnosis, creates duplicate processes, and leaves customers waiting.\r\n\r\nCarSignal connects the full repair process in one system. AI agents research vehicle-specific failure patterns and surface the tests that confirm or rule out each cause. The same system carries each job from booking and intake through inspections, estimates, parts, approvals, payment, and follow-up, so technicians spend less time searching and updating systems and more time fixing cars.",
    "one_liner": "The AI Operating System for Auto Shops.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1785653742,
    "tags": [
      "Hardware",
      "SaaS",
      "B2B",
      "AI",
      "Automotive"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/carsignal",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/carsignal.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 3650329,
        "full_name": "Michael Muzzin",
        "title": "Founder/CEO",
        "founder_bio": "Founder at CarSignal (YC S26). Previously electrical engineering at NVIDIA, he authored the Factory Failure Disposition Guide governing re-qualification of $300M in HGX and DGX datacenter hardware. BSEE, UCLA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mmuzzin/",
        "x_url": "https://x.com/muzzin_michael",
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      {
        "user_id": 3485129,
        "full_name": "Junaid Popalzai",
        "title": "Founder/CTO",
        "founder_bio": "founder at carsignal. prev netflix, notion, whatnot, tesla, amazon. eecs @ berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/junaid-popalzai-8b3753273",
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      {
        "id": 110407,
        "title": "CarSignal: The AI Operating System for Auto Shops",
        "tagline": "Your shop runs on one AI platform: booking, diagnostics, quoting, parts, and payments all in a single loop.",
        "body": "**TL;DR**:\\\nCarSignal is the AI Operating System for Auto shops. CarSignal provides a complete end to end operating system for mechanics and shop owners. We’re live in over 40 shops across 18 US states and are expanding everyday. \n\n<https://youtu.be/uXUU006Smeo>\n\n🤯 **The Problem**\n\nThe average auto repair shop in the US runs across multiple different systems, none of which talk to each other. With over 300,000 of these shops existing in the US, the problem is vast. Owners are trapped paying for a web of complex disjointed software in order to maintain basic functionality. \n\n🛠️ **The Solution**\n\nCarSignal fixes those discontinuities, streamlining recurring tasks that every shop runs daily. We deploy four Agents across the traditional auto shop stack to boost efficiency and lower lift time. A voice agent is deployed as the shop's receptionist, a custom OBD-II scanner provides factory level context to a diagnostic agent who aids in finding root cause issues in the vehicle. CarSignal also provides an estimate agent who finds real parts and labor times across wholesalers to give accurate estimates instantly, and a marketing agent who keeps track and reminds customers of overdue service and scheduled maintenance.\n\n👋 **Team**\\\nMichael Muzzin - UCLA Electrical Engineering, ex-Nvidia\n\nJunaid Popalzai - UC Berkeley EECS, ex- {Tesla, Amazon, Notion, Netflix}\n\n**Our Ask**\\\nIf you know a mechanic, or are a mechanic, book a demo! We’d love to show you what CarSignal is capable of.\n\ntrycarsignal.com/demo",
        "url": "https://www.ycombinator.com/launches/Sil-carsignal-the-ai-operating-system-for-auto-shops",
        "votes": 24,
        "created_at": "2026-08-17T16:30:09.423Z"
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    "id": 33047,
    "name": "Decawork",
    "slug": "decawork",
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    "website": "https://decawork.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "An agent’s access should depend on the task it is doing. The same action can be appropriate for one task and wrong for another. Access decisions need to adapt in real time as the agent works, but companies can’t turn every business judgment into a fixed rules or have people manually approve every step.\r\n\r\nWe train small, company-specific models that approve AI actions in real time. They consider the company’s policies and interests, the agent’s current task, and its past actions to decide whether each proposed action should be allowed. Access is specific to the task at hand and reassessed as the agent works.\r\n\r\nCompanies will rent intelligence from AI labs or run open-source models to power their agents. They’ll own the models that keep their entire AI workforce acting in their interests. Decawork is building those models.",
    "one_liner": "Training company-specific models that approve AI actions.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1785265630,
    "tags": [
      "B2B",
      "Security",
      "Infrastructure",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/decawork",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/decawork.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/decawork-ai/",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1632535,
        "full_name": "Aman Raj",
        "title": "Founder/CEO",
        "founder_bio": "- Built AI compliance platform at Barclays used by internal teams globally\n- Founded a fintech and scaled it to 52K families and $1.5M AUM\n- Led product at a consumer AI startup, scaled to 100K+ MAU (Google Play Best App 2024)\n- IIT Kharagpur",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aman-raj-84636a158",
        "x_url": "https://x.com/arxneo14",
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      },
      {
        "user_id": 1049492,
        "full_name": "Sarthak Aggarwal",
        "title": "Founder/CTO",
        "founder_bio": "- AI systems at NVIDIA (deployed at OpenAI, Meta)\n- Enterprise AI at Ema (used by Microsoft, Hitachi)\n- Led Conquest, Asia's largest student-run accelerator\n- Google Code-In Global Winner + Open source since the age of 12\n- BITS Pilani",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sarthak-agg/",
        "x_url": "https://x.com/_sarthak4",
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      {
        "id": 109883,
        "title": "Decawork - Training company-specific models that approve every AI action",
        "tagline": "Our small AI models decide agent access in real time, task by task, based on your company’s interests.",
        "body": "Hi everyone 👋 - we're Aman and Sarthak, founders of Decawork.\\\n\\\n**TL;DR:** AI agents shouldn’t have permanent access to company systems. The same action can be appropriate for one task and wrong for another, but companies can’t turn every business judgment into fixed rules or manually approve every step. Decawork trains small, company-specific AI models that approve every agent action in real time, based on company policies and interests, the agent’s task, and its past actions. Access is granted for the task at hand and revoked when it’s done.\\\n\\\nLaunch video: [Watch it here](https://www.youtube.com/watch?v=SanpHIyFcV4)\\\n\\\n🚧 **The Problem &amp; Why now?**\\\nCompanies are putting long-running, more autonomous agents to work on broader tasks and goals. These agents need access to critical company systems, but their actions can be unpredictable and may not serve the company’s interests.\n\nOpenAI’s agents have already hacked Hugging Face during testing with reduced safeguards. Replit’s agent deleted data from a live application’s database.\n\nAn agent’s access should depend on the task it is doing. The same action can be appropriate for one task and wrong for another. Permanent access lets an agent keep using permissions even when they are no longer appropriate for its task.\n\nAs agents take on more work independently, access decisions need to happen in real time. But companies can’t turn every business judgment into a fixed rule or have people manually approve every step.\\\n\\\n✅ **How we solve this?**\\\nDecawork gives AI agents access for the task at hand and revokes it when the task is done.\n\n* Connect your agents. Route API requests and MCP tool calls through Decawork to see activity and manage access in one place.\n* Set company policies. Write policies in plain English, specify when human approval is required, and connect your existing identity and IT service management systems.\n* Deploy a company-specific policy model. We deploy small models that approve actions in real time using your company’s policies and priorities, task context, and past actions. Your agents do the work. Decawork evaluates each proposed action and enforces the access decision before it runs.\n\n🚀 **Team**\\\nSarthak built AI systems at NVIDIA that were deployed at OpenAI and Meta, and worked on enterprise AI agents at Ema.\n\nAman built the AI compliance platform at Barclays used by internal teams globally, then led product at a consumer AI startup serving 100K+ monthly users, hand-wiring credentials for the agents he shipped.\n\nEvery one of those deployments came down to the same questions: what can it access, who approved it, and what did it do? We kept solving agent access by hand - so we quit to build the system we wished we’d had.\n\n![uploaded image](/media/?type=post&id=109883&key=user_uploads/1632535/0ef2784e-ab45-422f-91b9-960473f11dd5)\n\n🙏 **Our Ask**\n\n* If you’re on an IT team or know someone who’s worried about AI agents accessing or misusing company systems, talk to us: <https://decawork.ai/cal> or [founders@decawork.ai](mailto:founders@decawork.ai)",
        "url": "https://www.ycombinator.com/launches/SaJ-decawork-training-company-specific-models-that-approve-every-ai-action",
        "votes": 152,
        "created_at": "2026-08-12T16:30:00.369Z"
      }
    ]
  },
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    "id": 33050,
    "name": "Derya",
    "slug": "derya",
    "former_names": [
      "Derya Maritime / Meridian Forwarding (forwarding office)"
    ],
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    "website": "http://usederya.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Derya deploys supply chain automations for startups, SMEs, and enterprises that fulfil their entire supply chain function, from prospecting and procurement to distribution of goods.\r\n\r\nOur mission is to rebuild the supply chain from the ground up, turning one of the world’s hardest coordination problems into an AI native system that moves commodities by being integrated into both the supply chain infrastructure and the customer. We work across robotics, commodities, and food & beverages companies; procuring goods and managing various operation functions for them.",
    "one_liner": "AI Brokers for Industrial Trade",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1784839627,
    "tags": [
      "AIOps",
      "Logistics",
      "Supply Chain",
      "Procurement",
      "Automation"
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    "batch": "Summer 2026",
    "status": "Active",
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      "Supply Chain and Logistics"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/derya",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/derya.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/derya-maritime",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 2282645,
        "full_name": "Mert Turna",
        "title": "Co-Founder",
        "founder_bio": "Building agentic supply chain automations @ Derya (YC S26). CS @ UCLA, built a ship operations software used in 30+ vessels ($200M Fleet Value).\n\nPast experience:\n- Co-Founder, @ Hemut (YC P25), truck management operations.\n- Several VC and IB internships\n- UCLA Debate Team Ops & Highest Speaker in the team\n- National Debating Team",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mert-turna/",
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      },
      {
        "user_id": 1979081,
        "full_name": "Oguzhan Karaca",
        "title": "Cofounder",
        "founder_bio": "Building agentic supply chain automations @ Derya (YC S26). Law at Oxford, built a 6-figure ARR education business on AI autopilot.\n\nPast experience:\n- CEO @ Ivy Consultants, scaling to six-figure ARR\n- Legal @ Ceva/CMA CGM\n- Editor @ Oxford Law Journal\n- Treasurer @ Pembroke (Oxford) Student Union\n- National Debating Team",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/oguzhan-karaca/",
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    "launches": [
      {
        "id": 109885,
        "title": "Derya: Your supply chain autopilot for mapping, planning, and execution.",
        "tagline": "We build agents that help hardware companies design supply chain processes and eliminate friction.",
        "body": "TL;DR: We map out all your procurement, logistics, assembly, and distribution operations and then execute them for hardware companies. If you build hardware, physical AI, robots, we'll set up the operations while you focus on designing your product and sales.\n\n**Ask:** If you are spending too much time sourcing components, managing manufacturers, or coordinating shipments, let's see how we can save time and make money for you. Reach us at [contact@usederya.com](mailto:contact@usederya.com) or book a meeting at[ https://calendar.app.google/vSabvozH51TCM9V18](https://calendar.app.google/vSabvozH51TCM9V18) \n\n<https://youtu.be/ZcWtJmPZjVo> \n\n**The Problem**\n\nRedundant labor and inefficiencies represent $1.3 trillion of the $13 trillion logistics market. You shouldn't be spending your Tuesday chasing a customs broker, comparing three carrier quotes you don't trust, and hoping your parts clear China customs before your build slips a week.\n\n**Solution**\n\nWe’re setting up your supply chain for you:\n\n* **Shipping &amp; customs automation** for cheaper and risk-free freight and imports\n* **Procurement** support to autonomously order, ship, and track all your inputs\n* **Production** visibility and execution to get your products ready to ship, quick\n\n**Why us**\n\nWe already handled more than $15M in freight before starting to handle the whole supply chain for companies ranging from lab robotics to biochemical manufacturers.\n\nWe’ve been friends for almost 10 years and built our first business together in high school. Mert was the CTO of the trucking AI company Hemut (YC P25), UCLA CS major, and the son of a ship captain. He built software for 25+ ships, a $450M fleet running on his software. \n\nOguzhan is an Oxford law grad who worked at CMA CGM/Ceva (3rd-largest shipper), previously built a six-figure-ARR AI-native business, and grew up in a farming family, providing him exposure as both the carrier and the customer.",
        "url": "https://www.ycombinator.com/launches/SaL-derya-your-supply-chain-autopilot-for-mapping-planning-and-execution",
        "votes": 7,
        "created_at": "2026-08-10T19:30:00.323Z"
      }
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  },
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    "id": 33051,
    "name": "Tokenless",
    "slug": "tokenless",
    "former_names": [
      "Tokenless",
      "Touchy"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f250ec6cc81104148d8bd5bafdd6b96bc77d023.png",
    "website": "https://usetokenless.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tokenless is an applied AI research lab. Our goal is to end reward hacking. We do research and build tools to detect issues with environments and evals, understand model behavior in those environments, and prevent those issues from happening. Correcting them makes training more effective, makes model performance easier to interpret, and is crucial to solving the AI alignment problem.\r\n\r\nIf you’re training models with RL, building environments, or running agent evals, and want more confidence in your environments, we're here to help.",
    "one_liner": "We find flaws in RL environments and evals and help you fix them.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1786732497,
    "tags": [
      "Developer Tools",
      "Machine Learning",
      "Reinforcement Learning",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/tokenless",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tokenless.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usetokenless/",
    "x_url": "https://x.com/usetokenless",
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    "primary_partner": {
      "name": "Vivian Midha Shen",
      "url": "https://www.ycombinator.com/people/vivian-midha%20shen"
    },
    "founders": [
      {
        "user_id": 3697324,
        "full_name": "Rohit Agarwal",
        "title": "Founder",
        "founder_bio": "Founder at Tokenless (YC S26). CS PhD student at Princeton PLI, Hazan Lab, Google Deepmind. Previously at Duolingo and theory research at Berkeley, was EECS #1 BS grad in 2024.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rohit-agarwal-b647951ba/",
        "x_url": "https://x.com/Rohit_Writes",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86b74b1209c81d1d158af5587de149a3e8c2292c.jpg"
      },
      {
        "user_id": 3706728,
        "full_name": "Andrew Liu",
        "title": "Founder",
        "founder_bio": "Founder at Tokenless (YC S26). Formerly a researcher at UC Berkeley working on language documentation tools. BA in Computer Science, Mathematics, and Linguistics from UC Berkeley. Previously TA'd CS61C.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andrew-liu-b50873261/",
        "x_url": "https://x.com/landrew7363",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/04017660afe1efc138b242cbcc7c4efffc5f5bc4.jpg"
      },
      {
        "user_id": 3732665,
        "full_name": "Kevin Wang",
        "title": "Founder",
        "founder_bio": "Founder at Tokenless. Prev MTS at SkyPilot building multi-cloud GPU infra for top neolabs, Founding Engineer at Eventual from seed to Series A building the data engine for physical AI, EECS at UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevinzhiwang/",
        "x_url": "https://x.com/kevzwang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a21a2cf6802cfdcf6769408ee9d25a254858622.jpg"
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      {
        "id": 111407,
        "title": "Touchy 🙌: Voice-first AI Assistant for iPhone that understands the world around you",
        "tagline": "Your personal AI assistant that sees what you see, remembers what matters to you, and gets things done across all your tools. Just ask out loud.",
        "body": "**TL;DR:** We’re building Touchy 🙌, a voice and image-first AI assistant for the iPhone that personalizes itself to you. You can activate Touchy from your lock screen to instantly get things done across your apps or get answers about the world around you. Touchy is free to try, get it here: <https://apps.apple.com/us/app/touchy-ai-at-your-fingertips/id6798889392>\n\n<https://youtube.com/shorts/IJNucvAZ_-k>\n\n## **The Problem**\n\nYou probably know the feeling:\n\nYou ask the assistant on your phone, across the room, to send a colleague a message.\n\nIt cheerfully replies that it found 10 search results for “text Bob on Slack”.\n\nSo you trudge to your phone, find the app, open the DM, and begrudgingly type out your message instead.\n\nWe wanted a better personal assistant, one that had the intelligence and integrations we’ve come to expect from our AI agents, with the convenience of one that was native to your devices. We also believe that for AI to truly be personal, it needs to be deeply integrated into your life and the world around you. Right now, AI systems are constrained largely to using digital tools, yet the physical world is rich with audio and visual information that your phone is capable of receiving.\n\n## What We Built\n\nSo we built Touchy. One button press and you're instantly talking to an assistant that can see what you see, remember what you've said, and take action across all the tools you use. \n\nWhat sets Touchy apart:\n\n* **Reimagined UX.** Touchy is a fast, fully iOS-native app with a unique interface that is delightful to use and brings it closer to the world around you.\n* **Sees and hears the world around you**. Speak to Touchy and it can speak back. Easily snap a photo with the app’s camera to give Touchy access to what you’re seeing.\n* **Gets things done across your apps**. Touchy comes with built-in integrations with 1,000+ popular apps, as well as iOS-native capabilities such as you contacts and location.\n* **Make it yours over time**. You chat with Touchy in a single, continuous conversation. It automatically collects memories and preferences, and tailors itself to be more useful to you as you use it.\n\nIt's built to give you your attention back. Ask it something, let it act, and get back to your day — no app fighting for your attention.\n\n![uploaded image](/media/?type=post&id=111407&key=user_uploads/3697324/23ce7916-fce5-44c4-9ebf-f04049fee639)\n\n## The team\n\nWe’re Rohit, Andrew, and Kev. Before this, Rohit was doing a PhD on AI alignment at Google DeepMind Princeton and graduated #1 in Berkeley EECS. Andrew built educational software that scaled to half a million students worldwide. Kev was a startup founding engineer, developing data and GPU infrastructure that power many of the leading AI neolabs today. \n\nWe met during undergrad at UC Berkeley, and we’re coming back together to research, productionize, and scale the future of personal technology.\n\n## Our ask\n\nIf you have an iPhone, download Touchy and try it out: <https://apps.apple.com/us/app/touchy-ai-at-your-fingertips/id6798889392>\n\nWe would love to learn what people find themselves using Touchy for, and what they wish they could use it for. You can also report bugs by shaking your phone or just telling Touchy. You can also reach us at [founders@touchyapp.com](mailto:founders@touchyapp.com)",
        "url": "https://www.ycombinator.com/launches/Syt-touchy-voice-first-ai-assistant-for-iphone-that-understands-the-world-around-you",
        "votes": 24,
        "created_at": "2026-08-20T21:00:00.530Z"
      }
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  },
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    "id": 33052,
    "name": "Mireye",
    "slug": "mireye",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c96db3bdd6828a4a145c678555e120d2ab43c855.png",
    "website": "https://www.mireye.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI agents are starting to act in the real world, but they can't reliably understand it. \r\n\r\nEvery fact about a place has its own silo: land in GIS maps, power in utility portals, people in census tables, policy in county PDFs. All built for humans, none for agents. Underneath, the data is fragmented across thousands of sources, unstructured and complex.\r\n\r\nMireye is building the infrastructure that powers agents to make decisions and act in the real world. One API and MCP to connect agents to the physical world with accurate data enrichment, signals and tools.\r\n\r\nOur mission is to index every inch of the earth, and make it as queryable as the web.",
    "one_liner": "Search Engine for the Physical World",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1781399078,
    "tags": [
      "Geographic Information System",
      "AI",
      "Location-based"
    ],
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/mireye",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/mireye.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mireye/",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
      {
        "user_id": 793651,
        "full_name": "Ansh Chokshi",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO at Mireye (YC S26). Previously led AI/ML engineering at Seismic. At 21, co-founded Poker Pit, scaled 0 to $250K ARR in 4 months before acquisition. University of Toronto - CS, Math and Econ.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ansh-chokshi/",
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    "launches": [
      {
        "id": 108365,
        "title": "Mireye: The easiest way to build agentic applications for the physical world",
        "tagline": "One API for data, enrichment, tools and signals.",
        "body": "**TL;DR: Mireye is building the infrastructure that powers agents to make decisions and act in the real world. Today’s agents are book smart, we are going to make them street smart.**\n\n<https://youtu.be/ToEs-lxNja8>\n\n**The Problem:**\n\nEvery fact about a place has its own silo: land in GIS maps, power in utility portals, people in census tables, policy in county PDFs.\n\nAll built for humans, none for agents. Underneath, the data is fragmented across thousands of sources, unstructured and complex.\n\nEven with clean data the problem isn't solved, because a decision takes more than retrieving facts.\n\n**What We Built: One API and MCP that connects your agent to the physical world**\n\n![uploaded image](/media/?type=post&id=108365&key=user_uploads/793651/dcca6a7c-aafb-4c9d-89dd-8de73c0a0a04)\n\n**How It Works:**\n\nInstall our skill or paste this in your agent: <https://www.mireye.com/skills.md>\n\nAsk any question about any US location, get a citable answer in seconds\n\nData enrichment, tools and signals that turn facts into decisions, so agents can run real workflows: screen a site, underwrite a property, qualify a lead etc.\n\n300+ fields across the land, the location, the people, the rules, the risks, growing 20% week over week.\n\n**Our first customers** built agents that source off market land deals for **data centers 100x** faster than before.\n\n**You can do the same for your industry and we'll help you build it.**\n\n**Today we are launching the first ever on-demand indexing API for the physical world.** Ask for data that isn't indexed, and our long running agent sources it, and indexes it on the fly.\n\n[**Ansh Chokshi**](https://x.com/ansh_chokshi) sold his first startup, Poker Pit, at the age of 21 after growing it from zero to $250K ARR in four months. He then led AI/ML engineering at Seismic.\n\n![uploaded image](/media/?type=post&id=108365&key=user_uploads/793651/8acef036-d553-4e19-9760-961a1f90e595)\n\n**Our Ask:**\n\nAnyone building agents for physical-world applications. Comment and we'll set you up with our MCP.\n\nIntros to developers: real estate, data center, industrial, solar, nuclear.\n\nAnyone who needs data about the real world and can't get it. We'll source it and index it for you.\n\nEmail: [ansh@mireye.com](mailto:ansh@mireye.com)",
        "url": "https://www.ycombinator.com/launches/SBp-mireye-the-easiest-way-to-build-agentic-applications-for-the-physical-world",
        "votes": 340,
        "created_at": "2026-07-31T12:14:03.241Z"
      }
    ]
  },
  {
    "id": 33054,
    "name": "Lamb Labs",
    "slug": "lamb-labs",
    "former_names": [
      "LAMb Intelligence"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c5ba47505a760393e85b91acdb4b3933cf8df0a7.png",
    "website": "http://lamb-labs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lamb Labs is building Model Processing Units (MPUs), custom AI chips that hardcode LLM weights directly into silicon. Rather than adapting general-purpose processors to run AI models, we're rethinking how LLMs are implemented in hardware to make inference dramatically faster and more energy-efficient.\r\n",
    "one_liner": "Lightning fast chips with hardcoded AI models",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1785288921,
    "tags": [
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        "body": "**Hi Everyone!** \n\n**We’re Niki and Thomas - cofounders of Lamb Labs.**  \n\n**TL;DR: We build custom AI inference chips that run inference at 20,000+ tok/s and 63x higher intelligence per watt than a traditional GPU. Fully local and private by construction, no subscriptions, no API costs.** \n\n**Our mission: the world’s fastest LLM at the lowest power.** \n\n<https://youtu.be/MhhY1Dy9ltE?feature=shared>\n\n**Our hot take: AI models are finally getting good enough to hardcode them directly into silicon.** Once you stop treating the chip as a general-purpose GPU and burn a specific model into hardware, inference gets radically faster and cheaper per watt. Most of the industry is still building flexible, general chips. We think that flexibility is exactly what's wasting your energy. So we’re on a mission to reduce the energy footprint of AI. \n\n**The Problem**\n\nAI is taking power on two fronts: concentrating control of data and intelligence, and consuming ever more electricity to grow. That future scares us, so we're building against it.\n\nHere's the technical root of the waste: **GPUs burn most of their energy during inference moving data, not computing.** LLM/VLM inference is memory-bound, fetching a weight from memory costs \\~100–1000x the energy of the arithmetic you do with it. So you underutilize the GPU you paid for: some GPUs only hit 20–40% compute utilization during LLM inference while the rest idles waiting on memory.\n\nCloud hosting adds its own tax: expensive per-token bills, latency you can't control, network dependencies, and your data leaving your control.\n\n**Our Solution**\n\nWe build the model and the chip together. \n\nThe Hardware Layer\n\n* **Custom architecture, RL-tuned.** We built an RL environment that co-designs the chip architecture for a given model, optimizing directly for speed and energy per token.\n* **Aggressive quantization.** Removes complex math, which shrinks the size and cost of the chip.\n* **Weights on-chip.** The model weights live where the compute is overcoming the memory-bandwidth bottleneck\n\n \n\nBecause everything is hardcoded, it's fully local and secure by construction. No connectivity dependency, nothing leaves the device.\n\nThe Software Layer \n\nDesigning the chip led us to solving a fundamental flaw in LLMs so we are now open-sourcing a new model next week, converted from another open source model, to run 2x faster on any hardware. Come back next week for part 2 of our launch to find out more….\n\n**Our Ask**\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Are you paying for inference in watts, not just dollars?** Neocloud or private DC operators who are power- or hardware-cost-bound rather than demand-bound, talk to us.\n* **Do you need inference where the cloud isn't an option?** Private AI deployments, regulated, air-gapped, sovereign, or bandwidth-starved deployments.\n* **Do you want to deploy the fastest AI models in your stack?** High frequency trading, agentic workflows \n* **Are you stuck on a thermal or battery budget?** Robotics, wearables, consumer AI hardware where a Jetson-class part is over-provisioned and runs too hot.\n* **Can you introduce us to anyone above?** Warm intros are the single most useful thing.\n\nContact us at [contact@lamb-labs.com](mailto:contact@lamb-labs.com)",
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        "body": "**TL;DR:** Chromie is the AI operating system for government contractors. We help teams find opportunities before the RFP drops, build the right relationships, test win strategies against real data, and draft winning proposals. All on top of a company brain that remembers everything your team has ever learned.\n\n<https://youtu.be/6ZGxJlFgCgI>\n\n\\\n**The problem**\n\nThe U.S. government is the largest buyer on earth, spending $800B on contracts every year. Yet the business is fundamentally relationship driven. Winning depends on understanding the agency, finding opportunities earlier than your competitors, and applying judgment built over years. \n\nToday, that work runs on gut instinct, fragmented tools, and institutional knowledge that disappears when people leave.\n\n**What Chromie does**\n\nChromie surfaces agency signals and expiring contracts years before an RFP is posted publicly, giving capture teams time to understand the customer and shape a credible pursuit.\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/7796de7e-c1c5-4a18-b1ce-7036de7414dc)\n\nFrom there, teams can qualify opportunities, develop teaming and pricing strategies, and compare potential win strategies without wasting resources. Chromie’s PWin models are backtested against millions of verified award outcomes, helping teams augment intuition with evidence.\n\nOnce a team decides to bid, Chromie carries that strategy into proposal development. It maintains a **company brain** that connects capture, proposal, and contract-execution knowledge in one shared foundation, so each pursuit benefits from the company’s past experience.\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/899638cb-afd8-40d6-81c5-e625eba27b75)\n\nWhat your team learns today strengthens the next pursuit.\n\n**Traction**\n\nChromie already supports contractors with 100+ prime awards and more than $250M in obligated contract value. These teams have used Chromie to 3x their monthly proposal output and win new awards.\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/8292fe04-c346-49ba-9a3c-836b09c75f60)\n\n**Who we are**\n\nWe're Ananth and Akshay. We met in a high school English class and have been building together ever since. Between us we've built and scaled infrastructure at Google, LinkedIn, Plaid, and Amazon. We’re developing Chromie alongside former federal contracting officers and acquisition leaders with decades of government experience.\n\n**Our ask**\n\nWe'd love to connect with:\n\n* Government contractors, especially capture, BD, and proposal teams\n* Startups and companies trying to break into government contracting \n* GovCon and federal-sales experts willing to share what they’ve learned :)\n\nContracts are won by the companies that start earliest, remember most, and test how to win instead of guessing. If that's you, or you're trying to get there, reach out.\n\nLearn more at [chromie.dev](http://chromie.dev), or email [founders@chromie.dev](mailto:founders@chromie.dev) to find your company's fit in government contracting 🧩\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/26ff0c87-9129-4af4-b345-f797f269e874)\n\n",
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        "title": "Palisade - AI that detects and fixes OS vulnerabilities across every endpoint in minutes",
        "tagline": "AI that finds and fixes OS-level vulnerabilities across device fleets",
        "body": "**TL;DR:** For companies running large fleets of OS-level endpoints (running GPU clusters, having a network of cloud devices, or deploying on-device), Palisade detects and fixes operating-system vulnerabilities (privilege escalation, remote code execution, memory corruption) that are extremely hard to detect and mitigate without applying AI to kernel-level data (syscalls, eBPF traces, process/memory events, network packets). A fix that used to take weeks to roll out, Palisade now applies in minutes across every endpoint.\n\nHey YC! I'm Prince, an ML researcher and engineer who dropped out from Caltech at 18 to build Palisade.\n\n**What’s the problem:** Modern attacks increasingly target the operating system, but most security products only observe the network, cloud, or application layers. That leaves OS vulnerabilities among the hardest problems to detect and the slowest to remediate across a fleet.\n\n**Why I’m building this:** Since I was 16, I have done plenty of professional red-team and blue-team security work. One pattern kept showing up: OS-level vulnerabilities were consistently the hardest to handle. Detection required low-level visibility, and even after identifying a vulnerability, rolling out a mitigation across hundreds or thousands of machines often took weeks. My background in both machine learning and operating systems convinced me this didn't have to be a manual process, so I built Palisade to automatically detect and remediate these vulnerabilities at the kernel level across an entire fleet.\n\n**What Palisade does:** Palisade watches your systems at the kernel level—syscalls, eBPF traces, process and memory events, and network packets—and uses AI to find OS vulnerabilities other tools miss, then implement the fix automatically across every endpoint.\n\n![uploaded image](/media/?type=post&id=106995&key=user_uploads/2688178/fa8c6d6a-b058-4f44-87d0-5511d038718b)\n\n_The Palisade control plane, live against a real kernel (LSM-BPF). The live feed at the bottom: every row is a real syscall decision._\n\nThe vulnerabilities it catches are the ones you can't see from the app or network layer alone:\n\n* Privilege escalation\n* Remote code execution\n* Memory corruption\n\nMost are caught before an exploit ever happens, and the fix is applied immediately, fleet-wide. The same patch that used to take weeks now lands in minutes.\n\n![uploaded image](/media/?type=post&id=106995&key=user_uploads/2688178/2f4e756d-1348-44a2-bdce-bb3491925da5)\n\n_The host audit: real findings ranked by severity. The bottom one is the cloud-metadata exposure: the same path behind the Capital One breach. One click on **Apply fix** and it's installed as a kernel rule._\n\nPalisade can already detect and fix real problems:\n\n* CVE-2024-1086: use-after-free in the Linux kernel's netfilter (nf_tables); local privilege escalation to root\n* CVE-2025-6019: libblockdev/udisks privilege escalation to full root\n* CVE-2025-32463: sudo --chroot local privilege escalation to root\n\n**Who it's for:** Companies running a lot of OS-level endpoints, where a single kernel vulnerability multiplies across the whole fleet. Whether it’s network servers or GPUs, we have you covered.\n\n<https://youtu.be/CTVhq7jfTPY>\n\n**Our asks:**\n\n* Intros: if you run a large fleet of OS-level endpoints, or know a security/infra lead who does, I'd love an intro.\n* See the demo and tell me if you’d use it. Brutal feedback welcome.\n\n— [prince@palisade-ai.com](mailto:prince@palisade-ai.com), <https://calendly.com/prince-palisade-ai/30min>, DMs welcome",
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        "title": "Hyperprobe: On-call Agent for engineering teams",
        "tagline": "The fastest way for coding agents to debug incidents live in production.",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR:** AI writes most of our code now. Debugging it when it breaks in production is still slow, because the value that explains the failure was never logged. HyperProbe is an on-call agent for engineering teams. It takes an open incident to a confirmed root cause by dropping read-only probes into your running service and capturing the exact variable state logs don't have. No redeploys, no restarting the app. \\\n\\\n📹 **Launch Video: [https://youtu.be/QtaZrQ8_Uk8](https://youtu.be/QtaZrQ8_Uk8)**\n\n**🚧 The Problem**\n\nTeam ships faster than ever with agents that write most of our code. This is already shrinking the useful context engineers need to debug AI written code. Not helped by the limited telemetry added in the same code by AI. So when something breaks in prod, the first instinct for engineers is to open logs or throw them to agents. But if the line you are looking for is not there, agents will start guessing the root cause on limited data, forcing engineers to collect more logs by redeploys.\n\nThe result: our best engineers become our on-call team, incidents stay open longer, and patches come from data that never capture production context, so issues recur.\n\nYou can see where that leads. In September last year, a public fintech in India paid out $5 million after failed transactions were incorrectly marked successful. NYSE the same year miscalculated price bands for 40 symbols, printing trades so wrong they had to be reversed. Same pattern: the code ran clean, wrote the wrong state, and neither logs nor traces could show it.\n\n ✅ **What Hyperprobe does**\n\nHyperProbe gives engineering teams an on-call agent that works the incident and takes it to a confirmed root cause, live in production.\n\n* **Plan:** the agent picks up the alert from PagerDuty, Datadog, or Slack, then reads your logs and traces to locate the file and line. The easy incidents resolve right here.\n* **Probe:** logs not enough? places read-only virtual breakpoints on the suspect lines and captures the exact variable state live, across services. No redeploys, no restarts. \n* **Confirm:** the diagnosis is verified against real captured evidence, not a guess. Your engineer gets a confirmed RCA and commits the fix.\n\nThere are two pieces. An SDK that runs inside your service, and an MCP server your coding agent talks to. The SDK is what makes setting probes (virtual breakpoints, log or metric) possible without a redeploy. \n\n### **🔍 A few examples**\n\n* **An intermittent 500 that won't reproduce locally:** catch it live with full variable state \n* **A third-party API misbehaving:** see the exact payload and response\n* **A function returns a wrong value with no error:** see what it computed and why\n* **Anything that only happens in prod:** stop redeploying with console.logs\n\n🚀 **The team**\n\nWe've both lived this problem. Shailendra ran production at scale. Karan was a senior architect at a SaaS company. Before this, both spent three years building production SDKs for a testing product, learning the hard parts of pulling real runtime state out of a running service without breaking it.\n\nEvery incident we watched came down to the same question: what was the actual value at the moment it broke. Nobody built it for the way engineers debug with coding agents now. So we did.\n\n![uploaded image](/media/?type=post&id=110401&key=user_uploads/3173209/ddf3d8d0-2bd4-4a8c-9547-fa5ea2496469)\n\n### **🎁 Why now**\n\nFor thirty years the expensive part of software was writing it, and every tool got built for that. Generation is now nearly free, but the cost didn't disappear. It moved downstream, to figuring out why the generated code broke in production.\n\nAnd that system is now mostly code no human wrote or holds in their head. When it breaks, the engineer has less context than ever, and their first move is already to hand it to the coding agent. That agent only has your logs and traces, so it guesses. We give it the evidence instead, captured live from the running code at the point of failure.\n\n### **🙏 Our ask**\n\n* If you're an engineer tired of the redeploy loop, debugging code you didn't write at 2 AM, try it on your own service.**,** first investigation in 10 min:[ https://docs.hyperprobe.co/quickstart](https://docs.hyperprobe.co/quickstart)\n* If your best engineers have become your on-call team and you want that fixed, let us work one real incident from your stack, free: <https://calendly.com/shailendra-hyperprobe/30min>",
        "url": "https://www.ycombinator.com/launches/Sif-hyperprobe-on-call-agent-for-engineering-teams",
        "votes": 82,
        "created_at": "2026-08-17T15:30:20.732Z"
      }
    ]
  },
  {
    "id": 33179,
    "name": "Verdict Machine",
    "slug": "verdict-machine",
    "former_names": [
      "TxAI"
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    "website": "https://verdictmachine.com",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Verdict Machine uses AI to understand each financial institution's complete on-chain environment, assess its cyber risk and generate tailored controls. The same live model powers transaction prevention, continuous cyber diligence, security posture and cost-efficient wallet screening. Before execution, Verdict Machine evaluates proposed transactions against the institution's active policies.\n\nIn our first weeks, we started POCs with asset managers and digital-asset infrastructure providers whose systems move billions of dollars every week for financial institutions. We're now in active evaluations with digital-asset teams at some of the world's largest banks.\n\nThe founding team launched and led blockchain security at Check Point (NASDAQ: CHKP).",
    "one_liner": "AI cybersecurity for financial institutions' digital assets",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1786374737,
    "tags": [
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "Israel",
      "Middle East and North Africa"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/verdict-machine",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/verdict-machine.json",
    "year_founded": 2026,
    "city": "Tel Aviv-Yafo",
    "country": "IL",
    "linkedin_url": "https://www.linkedin.com/company/verdict-machine/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "full_name": "Dan Danay",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at Verdict Machine (YC S26). Previously Head of Blockchain Security at Check Point (NASDAQ:CHKP), launching their digital assets division. Founded keyTango (MPC-powered crypto clearing house) and Airmada (YC W16, automated drone stations). MIT Sloan MBA. Captain in Israeli Navy, commanded missile ship and naval electronics school.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dandanay/",
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      {
        "user_id": 3784711,
        "full_name": "Isaac Grossman",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at Verdict Machine (YC S26). Previously VP Engineering at Fhenix, where he led development of an FHE-enabled L2, and at SCRT Labs, where he helped scale Secret Network to a top-100 crypto asset. Co-founded keyTango, an MPC-powered crypto clearing house.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/itzik-grossman",
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      {
        "user_id": 3784793,
        "full_name": "Liran Kogan",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder and CPO at Verdict Machine (YC S26). Previously launched and led blockchain-security products at Check Point (NASDAQ: CHKP), and led payments and FX products at Payoneer (NASDAQ: PAYO). NYU + INSEAD.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/liran-kogan/",
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      {
        "id": 110493,
        "title": "Verdict Machine: AI cybersecurity for financial institutions’ digital assets",
        "tagline": "AI that understands each institution's complete on-chain environment, assesses its cyber risk, and generates tailored controls to prevent hacks",
        "body": "Hey all! We are Dan, Liran, and Isaac. Before Verdict Machine, we launched blockchain security at Check Point (NASDAQ: CHKP).\n\n**TL;DR:** Blockchain is becoming critical infra for all finance. More than $3.4B in digital assets was stolen in 2025. Verdict Machine is AI cybersecurity for financial institutions' digital assets. We use AI to understand each institution's environment, assess cyber risk and generate tailored controls that prevent hacks.\n\n**Building for:** banks, asset managers, DeFi protocols and infra, companies that use stablecoins or RWAs. If that’s you, email us at [founders@verdictmachine.com](mailto:founders@verdictmachine.com).\n\n<https://youtu.be/dYmEjST7Nc8>\n\n### Signed is not safe\n\nSophisticated hackers don’t need to compromise a wallet to steal funds. They only need to trick an authorized operator into approving one malicious transaction.\n\nOn-chain, settlement is final. There is no chargeback and no reversal. The security decision has to happen before the transaction executes.\n\nAttackers are sophisticated and see the entire institution, while existing security tools see fragments:\n\n* Hidden dependencies. Vendors, protocols, bridges and infrastructure are assessed separately or not at all.\n* Limited context. Controls check a transaction, not the institution behind it.\n* Stale controls. Rules are written once and reviews run once, while the institution and its risk keep changing.\n\n \n\n### How Verdict Machine works\n\nVerdict Machine uses AI to secure each client end to end.\n\n**Inventory.** It builds the complete inventory of a client’s on-chain environment: assets, wallets, smart contracts, users, vendors, counterparties, and transaction patterns.\n\n**Posture.** It quantifies cyber risk and recommends tailored controls to minimize exposure.\n\n**Enforce controls.** Before execution, it evaluates each proposed transaction to prevent attacks in real time.\n\nThe same live model powers every workflow:\n\n**Real time prevention.** Security and compliance teams secure their most critical transactions.\n\n**Continuous cyber diligence.** Asset managers and risk teams underwrite the cyber risk of protocols, vendors, and counterparties before and after capital is deployed.\n\n**Wallet screening.** Payments and stablecoin teams screen for fraud, unauthorized transactions, and risky wallets.\n\n### Why now\n\nInstitutions are racing to launch stablecoin and tokenized-asset products. MiCA and DORA are in force, so the people who own this risk now have to show their work. Attackers punish under-protected organizations.\n\nFireblocks and Chainalysis reached $8B valuations for digital asset custody and compliance. Cybersecurity for on-chain finance is a bigger opportunity. Every financial institution is going to use digital assets and therefore will require digital-asset cybersecurity.\n\n### Traction\n\nWe left Check Point the day before Y Combinator started. We already have POCs with asset managers and digital-asset infrastructure providers moving billions of dollars weekly for financial institutions, and we are in active evaluations with a digital-asset team at one of the world's largest banks.\n\n### Why us\n\nWe previously launched and led blockchain security at Check Point (NASDAQ: CHKP). Our CTO Isaac is a cyber veteran from Matzov, Israel’s cryptography unit. We are crypto natives with many years building infra for crypto and fintech. We built Verdict Machine to bring AI-native, institution-specific security to on-chain finance.\n\nManaging or deploying crypto, stablecoins, or tokenized assets? Talk to us.\n\n[verdictmachine.com](http://verdictmachine.com) · [founders@verdictmachine.com](mailto:founders@verdictmachine.com)",
        "url": "https://www.ycombinator.com/launches/Sk9-verdict-machine-ai-cybersecurity-for-financial-institutions-digital-assets",
        "votes": 24,
        "created_at": "2026-08-17T15:00:01.008Z"
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    "id": 33248,
    "name": "Dock",
    "slug": "dock",
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    "website": "https://trydock.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dock is where you hire AI agents for business. Bring an idea, and your agents turn it into a company that runs: they find the customers, do the work and keep it moving, day and night. Building a company used to mean hiring a building full of people first. With Dock, entrepreneurs can start a real business today and run it like a company of a hundred. You decide where it goes. Your agents make it happen.",
    "one_liner": "AI agents that run your business.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1785286566,
    "tags": [
      "B2B",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/dock",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/dock.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trydockai",
    "x_url": "https://x.com/trydock",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/dock-74d7",
    "github_url": "https://github.com/try-dock-ai",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "user_id": 31632,
        "full_name": "Mike Molinet",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Dock. Previously co-founder at Thena.ai and co-founder/COO at Branch.io, where we scaled to $100M+. Stanford MBA, Bucknell Engineering.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mikemolinet/",
        "x_url": "https://x.com/mikemolinet",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b574771b9b6bda3dde6f3e9d8054e5d524816a7.jpg"
      },
      {
        "user_id": 3679532,
        "full_name": "Govind Kavaturi",
        "title": "Co-Founder",
        "founder_bio": "Co-founder of Dock (YC S26), helping entrepreneurs start and run businesses with AI agents. Previously co-founded Thena, early at Branch.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/govindkavaturi/",
        "x_url": "https://x.com/Govikavaturi",
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      {
        "id": 114146,
        "title": "Dock – A multiplayer agent workspace that gives you a team of proactive agents that feel like colleagues instead of chat boxes",
        "tagline": "Get 3x more done in a fraction of the time with a team of Dock agents.",
        "body": "After a decade building and scaling companies — including Branch, which[ Govind](https://www.linkedin.com/in/govindkavaturi/) and I grew from zero to $100M+ ARR — we kept hitting the same wall: doing more always meant hiring more. Now, for the first time, it doesn't have to. That's why we built[ **Dock**](https://trydock.ai/).\n\n<https://www.youtube.com/watch?v=JO0dwm_NU_s>\n\nAI agents have changed what's possible, which is why we're building again. Dock gives you a team of proactive AI agents  that work alongside you — they talk to each other, hand off work, and take initiative instead of waiting to be prompted. So you steer instead of babysitting a dozen chat windows.\n\n## **The Problem**\n\nAI agents can finally do real work. But today they work alone — isolated chats that sit there waiting for you to prompt them. The moment you run more than one, _you_ become the middleman: copy-pasting context between a dozen windows and unblocking every agent by hand. The more agents you add, the more work you create for yourself. It doesn't scale.\n\n## **The Solution**\n\nDock turns those isolated agents into a real team. Here's how it works:\n\n### **1. Spin up a team of specialized AI agents in minutes.**\n\nEach agent has a real role, its own objectives, and persistent memory — so it gets better at its job over time instead of resetting every session.\n\n### **2. They work together, proactively.**\n\nYour agents  pursue goals on their own, message each other, and hand off work when one needs something from another — no copy-pasting, no you relaying context. They only come back to you when there's a real decision to make.\n\n### **3. You and your team work right alongside them.**\n\nEveryone — humans and AI agents  — works in the same shared workspace, toward the same goals. The earlier you plug Dock in, the more your agents  learn about how your company actually works.\n\n## **Why this works**\n\nMulti-agent coordination is an infrastructure problem, and we built that infrastructure. Dock runs its own agent harness and runtime, executes in the cloud or on your machine, and gives every agent memory, schedules, and a shared workspace as primitives. Agents working as a team is not a feature we added. It’s what the system is.\n\n## **Why we're building this**\n\nWe've spent our careers inside growing companies — hiring, scaling, managing — and felt the coordination drag of every new person you add. When AI made it possible to grow output without growing the team, this problem was already ours. In a real way, Dock found us more than we found it. Today we run our entire company on Dock, and we think soon every company will run on humans and AI agents  working together.\n\nGet early access:[ **trydock.ai**](http://trydock.ai)\n\n![uploaded image](/media/?type=post&id=114146&key=user_uploads/31632/f4079ba2-afab-462d-b130-e3e6215af412)\n\n",
        "url": "https://www.ycombinator.com/launches/Th4-dock-a-multiplayer-agent-workspace-that-gives-you-a-team-of-proactive-agents-that-feel-like-colleagues-instead-of-chat-boxes",
        "votes": 9,
        "created_at": "2026-09-09T16:00:00.120Z"
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    "id": 33249,
    "name": "OpenRelay",
    "slug": "openrelay",
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    "all_locations": "San Francisco, CA, USA",
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    "one_liner": "Distributed, hardware-agnostic AI inference",
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    "launched_at": 1783565051,
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    "batch": "Summer 2026",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/openrelay",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/openrelay.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/openrelayinc/posts/",
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    "github_url": "https://github.com/OpenRelayInc/OpenRelay",
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    "founders": [
      {
        "user_id": 1876109,
        "full_name": "Jaden Wang",
        "title": "Founder/CEO",
        "founder_bio": "ex Voltage Park Engineering HPC, ex TensorDock, Founder@Heaviside Compute, UW Dropout",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jaden-wang-b99327177/",
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      {
        "user_id": 3742866,
        "full_name": "Prashant Patel",
        "title": "Founder/CTO",
        "founder_bio": "Founder at OpenRelay (YC S26). Previously Staff Engineer at Voltagepark building managed Inference and Orchestration software for 10,000+ GPU clusters and serverless compute that scaled to 10M+ executions/month. Founding member of Amazon Bedrock at AWS, led Custom Model Import from 0 to multi-million ARR and scaled inference infrastructure for models up to trillions of parameters. MS CS from NYU.",
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        "id": 109526,
        "title": "OpenRelay: The Inference Delivery Network",
        "tagline": "One API for inference across every chip.",
        "body": "**TL;DR:** OpenRelay is building an Inference Delivery Network (IDN) on top of its CDN for GPUs. We provide one entrypoint for inference across every chip. \n\nSend us a workload and we’ll cut your costs up to 20% by running it through our network, balancing the best available accelerator (NVIDIA, TPU, Trainium, AMD) across clouds and handing back a single endpoint. You never pick the hardware, chase quotas, or rebuild your stack per provider. And if you run GPUs or other AI accelerators (an NVIDIA cluster, TPUs, a reserved fleet), you can plug your capacity into our rails and we'll bring the inference demand. Get started [here](https://openrelay.inc/).\n\nP.S. sign up for our Luma page to be notified of our Launch Party!\n\n<https://luma.com/s6x8cx5x>\n\n\\\n<https://youtu.be/7uNhqcjBXJg>\n\n## The Team\n\nHey guys! We're **Jaden and Prashant**, the founders of OpenRelay. We came at the same problem from opposite sides.\n\n* Jaden built a half-megawatt data center at 20 from a warehouse shell, then joined Voltage Park early, where he ran virtualization and helped stand up HPC.\n* Prashant built accelerator infra at AWS, where he ran custom model deployments and wrote custom kernels to squeeze out Trainium performance.\n\n \n\nWe kept seeing the same thing: there's more AI compute than ever, and you still can't reach it. We left our jobs to fix that.\n\n## The Problem\n\nCompute is everywhere; liquidity is nowhere. Accelerators are scattered across dozens of clouds, chip vendors, and operators, each behind its own quotas, drivers, contracts, and console. Teams that want to run inference can't reach the capacity, and the capacity can't reach them.\n\nRunning inference naively is easy; running it at scale is hard. Any operator can spin up a model on a box. Turning idle GPUs into a production endpoint (load balancing, isolation, autoscaling, failover, metering, billing) is a software platform most individual operators won't build. So capacity sits stranded behind their own front door, and developers either overpay for scarce reserved GPUs or hand-stitch a fragile multi-provider stack.\n\n## Solution\n\nWe built one set of rails across all of it.\n\nSend a workload (any container or model) and we schedule it onto the best-fit accelerator, attach a production endpoint, and scale it. We route to the cheapest accelerator that meets your latency and throughput targets, and we benchmark continuously. If the market can't beat renting yourself, we backstop with our own inference demand, so you’re never on the hook. \n\nYou never pick the chip, cloud, or region; we handle routing, isolation, failover, metering, and billing across 4+ clouds and every major chip family. We're language- and framework-agnostic (no SDK lock-in), and you can drive everything from our CLI and REST API.\n\nIt's two-sided: if you run GPUs or other accelerators (a neocloud, a data center, a pay for an underutilized reserved fleet), you can connect that capacity to our rails and we'll bring the inference demand, turning hardware into a revenue-generating endpoint without building a platform yourself.\n\n## Traction\n\nWe're **live in production**, generating 100 billion tokens a week across 22 physical locations across Europe, APAC, North America, and the Middle East running on 8 different accelerator SKUs.  \n\n## Asks\n\nWe'd love to hear from you!\n\n* **Run GPUs, or know someone who does?** This is who we most want to talk to: companies running their own nodes for inference, data centers, reserved fleets, even a crypto or mining cluster looking to move into AI. Plug your capacity into our rails and we'll bring the demand. Reach us at [founders@openrelay.inc](https://mailto:founders@openrelay.inc).\n* **Shipping inference and tired of picking chips?** Bring a workload and we'll get you on the best available hardware today.\n* **Feedback, intros, or just want to chat?** Book a call with us, or email [founders@openrelay.inc](mailto:founders@openrelay.inc) for anything else.",
        "url": "https://www.ycombinator.com/launches/SUY-openrelay-the-inference-delivery-network",
        "votes": 12,
        "created_at": "2026-08-07T17:00:00.601Z"
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    "name": "isoquant",
    "slug": "isoquant",
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      {
        "id": 109244,
        "title": "Agent FM: One group chat to hear and steer your coding agents.",
        "tagline": "Computer use + live audio updates + group chat with your agents. One command center to end agent babysitting.",
        "body": "Hi everyone 👋\n\nWe're [Aniket](https://www.linkedin.com/in/anideshp/) &amp; [Mugdhaa](https://www.linkedin.com/in/mugdhaa-patankar/), co-founders of [Agent FM](https://www.agentfm.ai/).\n\n**TL;DR:** Agent FM is a desktop app that gives engineers one group chat to hear and steer their coding agents. Instead of manually bouncing between different claude code and codex sessions, and combing through walls of text to monitor agents, engineers just tune in to Agent FM. Agents share important progress updates, blockers, assumptions, and decisions in the group chat. Engineers get live text and audio updates and respond right from the chat.\n\n**Launch video:** <https://www.youtube.com/watch?v=bVGLQwclkYI> \n\n#### The Problem:\n\n**Babysitting agents is exhausting.** Engineers running claude code and codex agents spend all day bouncing between multiple sessions, combing through walls of text to keep track of the work. In long horizon tasks, agents often go down the wrong paths, add unnecessary complexity or make bad assumptions that waste time and tokens. Agents can also sometimes misinterpret instructions, make poor decisions, or perform destructive actions due to lack of context and context compaction. To avoid this, engineers continuously keep tabs on their agents, read agent trajectories realtime for anything substantial worth intercepting. This gets really exhausting with more agents and time. We lack the tooling that automatically does this for engineers.\n\n#### Our Solution:\n\n* **One interface to rule them all:** Computer use + live audio updates + group chat with your agents. One command center to interact with your coding agents without babysitting and manually polling different Claude Code and Codex sessions.\n* **Actionable metrics and insights into agent activity across model providers:** Deep insights and metrics about token spend across providers, cost distribution, skills and mcp token performance, and recurring patterns.\n* **Works with the tools engineers already use:** No setup needed. Agent FM automatically works across Claude Code, Codex, OpenCode, and other coding tools. Local and remote workspaces supported.\n* **Voice-to-text AI**: Context aware and low-latency voice-to-text AI to prompt 4x faster anywhere on your computer.\n\n![uploaded image](/media/?type=post&id=109244&key=user_uploads/355672/6ac94f50-a6ac-4b2d-9290-819f9711037e)\n\n#### Traction\n\n* **410 engineers** are using Agent FM (**60+ paying**), \n* **120k+ audio updates** heard by engineers. \n* **1.2 hours/day** average time spent on Agent FM\n\n#### Our asks\n\n* Give Agent FM a try and let us know what you think: [agentfm.ai](http://agentfm.ai)\n* If there’s a team or company you think would benefit with Agent FM, write to us at [founders@agentfm.ai](mailto:founders@agentfm.ai) \n\n#### The Team:\n\nAniket and Mugdhaa have known each other for almost 10 years and co-founded Agent FM in 2026.\n\nAniket (CEO) worked at Meta Superintelligence Labs, where he built agent-orchestration, RL, and search infra, fine-tuned models, grew Meta AI monthly active users by 250K and built critical parts of the Llama training data flywheel.\n\nMugdhaa (CTO) led AI for developer productivity at Snowflake, where she built model harnesses, evals, developer tooling, and orchestration systems that help engineers adopt AI and move faster. Before Snowflake, she worked at Twitch on live video playback and distribution, building systems that keep Twitch reliable at scale for the biggest live events on the internet (Ibai La Velada, MrBeast), serving 10M+ concurrent requests.\n\n![uploaded image](/media/?type=post&id=109244&key=user_uploads/355672/79a7e968-4c77-4cf1-9e92-437dd51c7d1b)\n\n",
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        "votes": 28,
        "created_at": "2026-08-05T14:44:22.659Z"
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    "team_size": 3,
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        "full_name": "Parth Badhwar",
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        "id": 109419,
        "title": "Locke - The First AI Government Affairs Firm",
        "tagline": "Locke is changing the way companies and governments work together.",
        "body": "[ ](https://youtu.be/AbNIwYUdFBc)\nToday we're introducing Locke, an applied AI company changing the way companies and governments work together. Our first focus: building an AI-native government affairs firm that helps companies monitor regulations, lobby policymakers, and win government contracts.\n\nAmerican governments spend over $10 trillion a year - and it's all up for grabs, reallocated annually through budgets, appropriations, and contracts. But while every other major market has been made accessible, government hasn't. Its front door is guarded by legacy government affairs firms that charge incumbent prices, and their customers get a fragmented product: one firm for the Hill, another for agencies, another for proposals and procurement, with no one accountable for the outcome.\n\nLocke is building the front door government never had. We combine our AI agents with in-house lobbyists who own the entire path - from research to first meeting to funded contract. On the backend, our agents make the path faster than ever - analyzing legislation, tracking stakeholder engagement, and drafting complex contract proposals.\n\nSince quietly launching six weeks ago, we've blown past a $500K annual revenue run-rate serving clients across defense, healthcare, GovTech, and more.\n\nLocke was founded by Parth Badhwar, who came to this problem from both sides of the table: policy roles at the White House and Deloitte, then leading GTM at a startup that sold to dozens of government offices. The team is small, talent-dense, and part of Y Combinator's Summer 2026 batch.\n\nLocke’s mission is bigger than replacing lobbying firms. It's a future where winning government support depends on what you make, not who you know.\n\nIt's day one in that mission.\n\nLearn more at [locke.inc](http://locke.inc) or email [founders@locke.inc](mailto:founders@locke.inc).",
        "url": "https://www.ycombinator.com/launches/SSp-locke-the-first-ai-government-affairs-firm",
        "votes": 6,
        "created_at": "2026-08-06T17:00:00.074Z"
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    "long_description": "Petrarch brings internal company data to frontier labs, starting with manufacturing and industrial companies. We source data including codebases, project files, and payments from bankruptcy courts, then de-identify and prepare the data for model training. \r\n",
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        "full_name": "Ian Lee",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Petrarch. Previously Fellow at Meridian AI building training data and GTM infrastructure for AI-native Excel in financial services. Technical Advisor at Scale AI, working on quality filtering and annotation for agentic assistants and reasoning models. BA in Applied Mathematics and Psychology from Harvard.",
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        "full_name": "Samuel Hahn",
        "title": "Founder/COO",
        "founder_bio": "Founder at Petrarch. Previously led GTM at Magier AI (Techstars '24), building agentic PII-redaction and data-compliance products. Venture analyst at Mainstreet sourcing pre-seed fintech and deeptech. BA in Economics and History from Harvard.",
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        "full_name": "Sudhish Swain",
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        "id": 105007,
        "title": "Petrarch — Unlocking enterprise data for tomorrow's economy",
        "tagline": "The market for specialized data locked up in enterprise companies.",
        "body": "# The market for specialized data locked up in enterprise companies.\n\n[Petrarch](http://petrarch.co) is unlocking enterprise data for tomorrow's economy.\n\n<https://youtu.be/YRflyEOuVYo>\n\nFrontier labs scraped the internet dry. Then, labelers contracted subject matter experts to hand-make data. Now demand has shifted towards the bespoke data locked up within industries like construction, manufacturing, and logistics.\n\nPetrarch targets companies with valuable **operational** **data** they haven't monetized, from **legacy** **businesses** and **startups** to companies undergoing **bankruptcy** and **pivots**.\n\nPetrarch **sources** suppliers, **cleans** and **restructures** the datasets, certifies **legal clearance**, and resells to **applied AI startups and labs.** They have already transacted construction plans, autonomous driving recordings, and codebases.\n\nWith experience at Scale and Meridian AI, founders Ian Lee, Samuel Hahn, and Sudhish Swain dropped out of Harvard to unlock the next wave of training data.\n\nIf you need proprietary datasets or think you have something valuable on your hands \\\n(or recently pivoted), reach out at [founders@petrarch.co](mailto:founders@petrarch.co) or visit us at [Petrarch.co](http://Petrarch.co)!",
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    "name": "SpaceFlow Technologies, Inc.",
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        "full_name": "Emre Isik",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of SpaceFlow Technologies. Previously researched computational linguistics at Cambridge under Prof. Anna Korhonen and developed system identification algorithms for motor control at UCLA's Institute of Pure and Applied Mathematics. BA in Computer Engineering from University of Cambridge. ",
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        "full_name": "Hakan Enes Aksu",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of SpaceFlow Technologies. Previously build crypto-ad automation software in high school, AI models for sports analysis and built a campus social platform. Dropout",
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        "linkedin_url": "https://www.linkedin.com/in/hakan-enes-aksu/",
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      {
        "user_id": 2475947,
        "full_name": "Ali Eren Aytekin",
        "title": "Founder",
        "founder_bio": "Co-Founder of SpaceFlow Technologies. Previously developed deep learning models for genetic perturbation analysis, earning runner-up at the Microsoft Imagine Cup. Holds a patent for a compressed-air energy storage system. Engineering at Istanbul Technical University, dropout.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ali-eren-aytekin-6305a41aa/",
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      {
        "id": 109415,
        "title": "SpaceFlow: AI-native procurement services for the physical economy",
        "tagline": "An extension of your team handling sourcing, planning and contracting. ",
        "body": "**TL;DR:** SpaceFlow is an AI-native procurement services company for businesses that make, move and serve physical goods. We help procurement teams bring more spend under management, execute source-to-contract work and turn identified savings into realized savings without adding headcount or replacing existing systems.\n\n<https://youtu.be/lS9pBj_LeV8>\n\n### The problem\n\nProcurement must absorb changing demand, supplier issues, and growing volume without increasing cost or risking continuity. Every existing option fails on the same axis:\n\n* **Internal teams:** expertise and judgment, fixed capacity. It takes years to build and when someone leaves, the tacit knowledge that keeps operations running is lost.\n* **SaaS:** automation and visibility without execution. The customer still staffs the operation, supervises it, handles exceptions, and owns the result.\n* **Outsourcing:** capacity, expertise, and accountability, permanently labor-linked. More volume, suppliers, and locations require more service-delivery headcount.\n\nThe unmet need is operating capacity that **takes responsibility for completing the work** while becoming faster, more consistent, and more profitable as volume grows.\n\n## The insight\n\n* **Software can recommend actions; it cannot assume commercial authority.** The customer keeps execution, exceptions, and supplier outcomes. Whoever owns the exceptions owns the expertise, and expertise is the entire product in procurement.\n* **Incumbents cannot follow.** Consulting and outsourcing firms store process knowledge in employees and grow revenue through staff hours. Automation directly cannibalizes that model.\n* **The economics are breakable.** Traditional services sit below software economics: Accenture at Rule-of-22.6, Genpact at 24.1. An AI-native operator can reach **Rule-of-60**.\n\n## What we built\n\n**The proprietary platform SpaceFlow uses to operate procurement for customers.**\n\n* A **process-mapping engine** converts interviews, SOPs, approval rules, and existing system configurations into executable workflows. A supply-chain consultancy estimates it cuts customer launch from **26 months to 4**, a 6.5x jump in deployment capacity.\n* It **executes procurement end to end**, from demand and production planning through sourcing, contracting, purchase orders, exception resolution, and reconciliation, across the customer's own systems.\n* Operating across companies in the same vertical turns cross-company experience into **proprietary process and supplier intelligence**, while pooled demand creates **group-purchasing power**: better execution, prices, resilience, and terms for every customer.\n* The same platform **monitors service levels, resolves exceptions, and remains accountable** for completing the operation. Per-action autonomy limits, approval queues, and an immutable audit log make every task provable.\n\n## Proof so far\n\n* **Live:** $400M a year of supplier spend under management, zero systems migrated. Multiple six figure contracts signed.\n* **Demand for delegation:** our first customer cancelled 3 planned procurement hires, the CSCO invested his own money, and two chains are signing to progressively outsource purchasing, one planning a procurement team 90% smaller by 2027.\n* **Results:** 3x faster RFQ cycles, off-contract spend down 42% at one customer, $120K a year saved at another.\n\n## Where this goes\n\nSpaceFlow will replace legacy service providers across the physical economy. Traditional service firms grow by hiring; SpaceFlow grows output faster than headcount, targeting **$1B in revenue with headcount capped at 100**. \n\n## What's in it for you?\n\n1. **You run a physical-goods company with $100M+ supplier spend:** send us 12 months of PO history and we'll map one lane and size the savings, free. [spaceflow.tech](http://spaceflow.tech) · [emre@spaceflow.tech](mailto:emre@spaceflow.tech)\n2. **You know an operator like that:** intros are gold. \n\n### **About the team:**\n\n**Emre Isik (CEO)**  studied computer engineering at the University of Cambridge and dropped the master's to build SpaceFlow full time. Before that he researched embedded AI for motor control at UCLA's Institute for Pure and Applied Mathematics, published a machine-learning paper on reasoning with small data, and trained with Turkey's international informatics olympiad reserve team at 15. \n\n**Ali Eren Aytekin (co-founder)** left engineering at Istanbul Technical University to build SpaceFlow.  He was Microsoft Imagine Cup EMEA runner-up for a genetic-signal classifier that hit 98.3% accuracy, and co-authored the published paper on low-data reasoning. [LinkedIn](https://www.linkedin.com/in/ali-eren-aytekin-6305a41aa/) . He talked his way into an invite-only AI showcase in Istanbul, came out with a procurement problem from the CEO of a UK medical manufacturer, and shipped the solution with the team in two weeks. That deal became the learning SpaceFlow grew from.\n\n**Hakan Enes Aksu (co-founder)** left information engineering at Boğaziçi University to build SpaceFlow. He has been shipping commercial software since 16, when his Reddit ad-automation service earned $40K in revenue, and he later built a tender-matching engine that reads public tenders against a company's product catalog and sold it to a corporate customer for five figures. He scored in the top 500 out of roughly 3 million students in Turkey's national university entrance exam. [LinkedIn](https://www.linkedin.com/in/hakan-enes-aksu/)",
        "url": "https://www.ycombinator.com/launches/SSl-spaceflow-ai-native-procurement-services-for-the-physical-economy",
        "votes": 37,
        "created_at": "2026-08-06T15:30:00.856Z"
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    "id": 33316,
    "name": "Tracer",
    "slug": "tracer",
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    "website": "https://tracerml.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tracer is an AI research lab building more capable and efficient AI through model coordination. We research adaptive inference, ensembling, and systems in which multiple open-source models work together to produce capabilities beyond any single model.\n\nOur work spans reasoning, code, research, and agentic systems, with the goal of making advanced intelligence more accessible and economical.",
    "one_liner": "Combining open-source AI models for better answers at lower cost",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/116774192/",
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        "user_id": 1217984,
        "full_name": "Adam Rida",
        "title": "Founder/CEO",
        "founder_bio": "I’m the founder of Tracer (S26), an AI research lab building more capable and efficient intelligence by coordinating open-source models.\n\nBefore Tracer, I built DeepRecall solo to €100k ARR in three months, scanning 100k+ marketplace products per day for product-safety risks.\n\nMy background is in applied machine learning and explainable AI. I was an AI PhD candidate at Sorbonne University, CNRS, and AXA, and previously worked at Société Générale, Rebellion Research, Qantev, and MFG Labs.",
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        "linkedin_url": "https://www.linkedin.com/in/adam-rida-581296142/",
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      {
        "id": 108361,
        "title": "Tracer: Fable-level AI at 1/3 the cost using open-weight models",
        "tagline": "Adaptive AI systems that combine open-weight models for better answers at lower cost.",
        "body": "Hi! I’m Adam, founder of Tracer.\n\nWe built **Echo**, an adaptive AI system built entirely from open-weight models. Instead of making you choose between models, Echo decides how much compute each request needs, which models should work on it, and how their answers should be combined.\n\n**Across our current eval mix, Echo reaches Fable-level performance at roughly 1/3 the inference cost.**\n\nToday, Echo is strongest on math, science, and the coding benchmarks we currently cover. Multilingual and broader knowledge performance still has room to improve, while longer-horizon coding and agentic evaluations are underway.\n\nEcho is continuously updated as we expand the model pool and improve ensembling and cross-model coordination.\n\n<https://youtu.be/hM0NypILdgw>\n\n## **Why we built Echo**\n\nThere are now dozens of strong models, each with different strengths, weaknesses, and prices.\n\nWe started with a simple experiment: what if you had a perfect oracle that always knew which model would perform best for each request?\n\nThe oracle was substantially stronger than any individual model in the pool.\n\nEcho is our attempt to recover that advantage without knowing the answer beforehand.\n\nInstead of picking one model for everything, Echo goes beyond routing and dynamically allocates compute across a pool of open-weight models behind a single interface.\n\n## **The result**\n\nWe evaluate Echo against frontier models across reasoning, math, coding, multilingual and other benchmarks.\n\nWe measure both **quality and the actual model inference cost used to produce the answers.**\n\n![uploaded image](/media/?type=post&id=108361&key=user_uploads/1217984/867cc6aa-16b8-4330-b497-c33d78e62b24)\n\nOn MATH-500, Echo reached **98.6% at $4.58**, compared with Claude Fable at **99.8% at $12.64**.\n\nOn LiveCodeBench, Echo reached **92.8% at $5.35**, compared with Claude Fable at **92.0% at $8.71**.\n\nThese results show where Echo is already strongest. LiveCodeBench is encouraging, but it does not capture the full difficulty of repository-level and agentic coding. We are currently running longer-horizon evaluations where Echo must plan, use tools, modify code, and recover from errors across multiple steps.\n\nThose results are visible in the Eval Observatory and are active areas of improvement.\n\nWe publish the underlying evaluations, including individual answers, costs, wins, and losses:\n\n**→[ Explore the Echo Eval Observatory](https://echo.tracerml.ai/eval?utm_source=chatgpt.com)**\n\n## **From open source to Echo**\n\nWe first explored this idea through Tracer's open-source work: learning from real AI workloads where expensive model calls are actually necessary and where cheaper paths are enough.\n\nThe project has now crossed **1,000 GitHub stars**, with developers using and experimenting with the approach in their own AI pipelines.\n\nEcho is the next step. Instead of optimizing individual calls with a routing layer, we're building one adaptive system that decides how intelligence should be allocated end to end.\n\n**→ [GitHub](http://github.com/adrida/tracer)**\n\n## **Every company’s AI traffic has a shape**\n\nOur public evaluations test Echo across a broad mix of general tasks. Production workloads are different.\n\nEvery company has its own traffic distribution and quality requirements. Some requests genuinely need expensive frontier-level intelligence. Many don’t.\n\nFor teams that work with us, Echo can be configured to learn the structure of their workload and identify where expensive intelligence is useful and where cheaper paths are enough.\n\n**Public Echo does not train on users’ private traces. Workload-specific learning is enabled only for teams that explicitly work with Tracer to configure it.**\n\nWe set up this optimization with each team around its workload, quality bar, and data requirements.\n\nThe goal is simple: **an AI system that continuously learns how to spend the minimum amount of inference required to maintain the quality you need.**\n\nThat means **\\~3x cheaper is not necessarily the ceiling for a real production workload.**\n\n## **Try Echo now**\n\nEcho is publicly available through a chat UI and an **OpenAI-compatible API**.\n\nYou can try it directly, connect an existing application by changing the base URL, or plug Echo into OpenCode and other agent harnesses.\n\nEcho is continuously updated as we improve model selection and ensembling.\n\n**→[ Try Echo now](https://echo.tracerml.ai)**\n\n## **We’re looking for teams with large inference workloads**\n\nIf your company is running meaningful LLM inference in production, we’d like to test Echo against your workload.\n\nWe’ll map the quality-cost frontier on your traffic and determine how much of your inference actually requires expensive intelligence.\n\nTeams can then work with us to activate private, workload-specific optimization.\n\n→ [**Optimize Echo for your workload**](https://cal.com/adam-rida-tracer/tracer-first-call)\n\n## **About Tracer**\n\nI’m **Adam Rida**, founder of Tracer. I was previously a PhD candidate at **Sorbonne University/CNRS**, where I conducted and published research in ML interpretability. Before founding Tracer, I built applied ML systems across finance, insurance, and supply chain, then grew [DeepRecall](http://deeprecall.io/) to \\~**€100k ARR as a solo founder in less than 3 months**.\n\nI’ve spent most of my career studying how models make decisions and turning that research into production systems.",
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    "website": "https://onecli.sh",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "OneCLI (YC S26) is an open-source platform for delegating business-critical work to AI agents, from Salesforce updates to data analysis and engineering investigations.\r\n\r\nAgents work across your company’s apps, prepare changes, and pause for approval when your rules require it. Your team controls what they can access and change, while credentials stay out of the agents’ reach and every call is logged.\r\n\r\nhttps://www.onecli.sh",
    "one_liner": "AI teammates for your business-critical work.",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1783888956,
    "tags": [
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      "name": "Brad Flora",
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        "full_name": "Jonathan Fishner",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of OneCLI",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonathanfishner",
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        "full_name": "Guy Ben Aharon",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of OneCLI",
        "is_active": true,
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        "id": 111185,
        "title": "OneCLI - Give every employee a secured, sandboxed pro assistant agent",
        "tagline": "Self-hosted agent harness for teams: sandboxed, policy-controlled, and never touching a real credential. Works from web and Slack.",
        "body": "Hi everyone 👋, we're Jonathan and Guy, founders of OneCLI.**\\\n\\\n🏆 TL;DR**\n\nOneCLI is an open source agent harness for teams. Each employee gets their own sandboxed pro assistant agent, connected to their GitHub, Gmail, Notion, Dropbox, or CRM right from the chat/Slack, while the whole workspace runs under one policy your admins control. \\\n\\\nAgents never hold real secrets: the credential is injected at the network layer, per request, after the call is authorized. You can't steal what isn't there.\n\n**Launch Video**\\\n<https://youtu.be/LUAMdqbl_Rw>\n\n🚧 **The Problem**\n\nLately, autonomous agents have arrived and shown up everywhere. Tools like OpenClaw and Hermes have become extremely popular and been adopted by open source communities, mostly by individuals. Companies, however, have been left behind: they need integration with their identity providers to enable easy provisioning of agents on behalf of an employee's identity, with least-privilege access.\n\nThose tools have fundamental flaws. Security fundamentals, like secret handling and organization-level control, are missing by default. So companies must choose between weak agents or making them powerful but risky.\n\n✅ **What OneCLI Does**\n\nOneCLI gives teams the whole harness, open source and self-hosted, so agents can be powerful and safe at once:\n\n* **Sandboxed agent per employee:** each agent runs isolated with its own memory, skills, and permissions.\n* **Secrets injected at the network layer:** the agent gets a placeholder, the gateway swaps in the real credential per request, after the call is authorized. Credentials never enter the agent's context, memory, or logs.\n* **Policy enforced outside the model:** admins define org-wide policy. Block endpoints and scope access per agent.\n* **Human-in-the-loop where it counts:** sensitive actions (send the email, delete the Linear ticket, empty the S3 bucket) wait for deterministic approval in the chat.\n* **Full identity trail:** every agent is bound to an employee, every call logged with who it acted for and which policy allowed it.\n\n🚀 **Team**\n\nWe've spent our careers in security. Jonathan built zero trust network access at Axis Security (acquired by HPE). The core ZTNA idea is that you never trust the client and enforce access outside it, at the network layer. Guy was the first employee at Argon (AppSec company acquired by Aqua Security), protecting client codebases. Agents need exactly the treatment ZTNA gives humans, so we built it.\n\n🙏 **Our Ask**\n\n* Do you want to provide each of your employees with a secure OpenClaw isolated in a sandbox? Shoot me an email: [jonathan@onecli.sh](mailto:jonathan@onecli.sh)\n* Star/try the repo:[ https://github.com/onecli/onecli](https://github.com/onecli/onecli). Self-host in minutes, free.",
        "url": "https://www.ycombinator.com/launches/SvJ-onecli-give-every-employee-a-secured-sandboxed-pro-assistant-agent",
        "votes": 29,
        "created_at": "2026-08-20T14:00:00.677Z"
      },
      {
        "id": 106907,
        "title": "OneCLI - Your AI agents shouldn't be holding raw secrets",
        "tagline": "Agents hold placeholder tokens, real secrets get injected at the network layer",
        "body": "# **🏆 TL;DR**\n\n[**OneCLI**](http://onecli.sh) is an open-source credential gateway for **AI agents**.\\\nWhen an agent makes a call, OneCLI swaps in the real credential at the network layer and forwards it. The agent never touches the secret, **you can't steal what isn't there**.\\\n320K+ downloads, 2,500+ GitHub stars, and the default credential layer in NanoClaw (30K+ stars).\n\n**Ask:** If your team runs coding agents (Claude Code, Codex, Cursor) or autonomous agents in production. And if you can intro us to Head of DevOps or heads of DevSecOps at companies rolling out AI agents, email us at [jonathan@onecli.sh](mailto:jonathan@onecli.sh) \\\n\\\n**Sign up for free:** <https://onecli.sh>\n\n![uploaded image](/media/?type=post&id=106907&key=user_uploads/406823/5294ff50-4b88-4ee7-9c9c-3c776b5b45b5)\n\n<https://youtu.be/5e5pbPEzZfY>\n\n# The Problem\n\nAI agents are doing real work now, which means they need real credentials: API keys, database passwords, OAuth tokens. And there's no safe way to hand them over.\n\nToday, every team does one of two things: hardcode secrets into **.env files** the agent can read, or build a one-off proxy hack. Both mean the **agent holds the secret**. An agent that holds a secret can leak it, through prompt injection, a malicious MCP server, a compromised dependency, or simply by pasting it into a log or a commit.\n\nSecrets management was designed for humans and **deterministic software**. Autonomous agents that read untrusted webpages, install packages, and write their own code are a fundamentally different threat model. The blast radius of one leaked production key is enormous, and teams are granting agents more access every week.\n\n# Our Solution\n\nOneCLI moves the credential out of the agent entirely.\n\nYou run one command, and every outbound call from your coding agent (Claude Code, Codex, Cursor, Cline) or autonomous agent (OpenClaw, Hermes, NanoClaw) routes through OneCLI. The agent only ever sees placeholder tokens. On each request, the proxy:\n\n1. Matches the request by host/path\n2. Checks it against policy\n3. Swaps the placeholder for the real credential\n4. Forwards the request\n\nThe agent never holds the secret, so there's nothing to steal, log, or exfiltrate. \\\nSecrets are AES-256-GCM encrypted at rest. The whole thing runs in a single Docker container with no external dependencies. It works with anything that can set HTTPS_PROXY.\n\nFor teams, we already support integration with IdPs and organization-wide policy setup, giving you full control and visibility over every access made by your agents.\n\n# Why this and not the PAM/identity vendors?\n\nBecause the credential problem for agents is a **network problem, not an identity problem**. Vault-based tools (1Password, HashiCorp Vault) still hand the secret to the agent to authenticate. The agent holds it, so the agent can leak it. OneCLI injects the credential at the wire: transparent injection, policy enforced on every outbound request, and the secret never enters the agent's context in the first place.\n\n# The Team\n\nWe've spent our careers in security. Guy (CTO) was the first hire at Argon (acquired by Aqua Security). Jonathan (CEO) worked on ZTNA and network security at Axis Security (acquired by HPE), after serving in Israeli Military Intelligence.\n\nWe hit this problem ourselves. Before OneCLI we built ChartDB together, an open-source database tool with 20K+ GitHub stars, and while building an agent orchestration layer on top of it, we kept hitting the same wall: there was no safe way to hand an autonomous agent credentials. Every team we talked to was either hardcoding API keys or duct-taping proxies. So we built the thing we wished existed.\n\n![uploaded image](/media/?type=post&id=106907&key=user_uploads/406823/ff451063-51d2-4c13-9c5f-cd1863b8c648)\n\n# The Ask\n\nIf you know a Head of DevOps or DevSecOps lead at a company rolling out AI agents, we'd love an intro.\n\n[jonathan@onecli.sh](mailto:jonathan@onecli.sh)",
        "url": "https://www.ycombinator.com/launches/RoJ-onecli-your-ai-agents-shouldn-t-be-holding-raw-secrets",
        "votes": 11,
        "created_at": "2026-07-23T13:44:46.846Z"
      }
    ]
  },
  {
    "id": 33342,
    "name": "Nex",
    "slug": "nex",
    "former_names": [
      "GarageSpace",
      "Inc.",
      "Nex",
      "Nex.ai"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8f563ce5c802b34a01e9ad0f5641eb4bb092c6c.png",
    "website": "https://nex.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build and deploy AI agents that manage prospecting, qualification, CRM hygiene, forecasting, lead routing, revenue recovery, and all the complex revenue work in between, on autopilot.",
    "one_liner": "Grok bot for GTM & Revenue teams",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1784187262,
    "tags": [
      "AIOps",
      "Workflow Automation",
      "Sales"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/nex",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/nex.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nexdotai/",
    "x_url": "https://x.com/nexdotai",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 1371335,
        "full_name": "Najmuzzaman (Nazz) Mohammad",
        "title": "Founder/CEO",
        "founder_bio": "CEO/Co-founder at Nex (YC S26).\n\nFounding hire at VentureBasecamp, an ed-tech product acquired by Wadhwani Foundation within 2 years.\nEarlier founded a profitable e-commerce business during college.\nPreviously Senior PM at HubSpot and Clipboard Health.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/najmuzzaman",
        "x_url": "https://x.com/najmuzzaman",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5bd335c3878a06175e6944df3acdedf99db2ab1b.jpg"
      },
      {
        "user_id": 3636126,
        "full_name": "Francisco Dias",
        "title": "Founder/CTO",
        "founder_bio": "Just trying to help out.\n\n4th engineer on HubSpot CRM (pre-IPO, ~0 customers)\nCo-wrote HubSpot's first component library\nFirst product-focused engineer on HubSpot's AI infrastructure team; helped grow it into a new group\nMentored 10+ ICs into technical leads\n\nHelped ship one of the most ambitious responsive websites, BostonGlobe.com\n\n22 marathons and a sub-11 Ironman in 22 months\n\nBOS > ATL > SFO",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/frandias/",
        "x_url": "https://x.com/ffrandias",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fef4552be6d6bed0049c187c08b25e3fd19b792f.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Show HN: A Karpathy-style LLM wiki your agents maintain (Markdown and Git) | Hacker News",
        "url": "https://news.ycombinator.com/item?id=47899844",
        "date": "Apr 24, 2026"
      }
    ],
    "launches": [
      {
        "id": 111167,
        "title": "Nex - Claude Cowork for high-volume workflows, starting with GTM",
        "tagline": "AI that builds and runs the complex, high-volume GTM workflows only the world's best GTM engineers know how to build, at the price of a coffee.",
        "body": "**TL;DR:** Nex is Claude Cowork for high-volume workflows, starting with GTM. Describe a goal, and Nex builds an agent that runs it end to end across 1000+ integrations. The kind of work that would burn your entire weekly limit overnight on Claude or Codex runs on autopilot on Nex, for the price of a coffee, while that coffee brews. Try it at [nex.ai/signup](http://nex.ai/signup).\n\n<https://youtu.be/2amZjOKdhD4> _(Our AI-generated “The Office” parody video that went viral was taken down by YouTube. You can still [watch it here on LinkedIn](https://www.linkedin.com/posts/nexai-yc-s26-is-the-ai-gtm-engineer-that-ugcPost-7495214587882004480-Ch_b/?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAseA8sB3xUI6osd_UWpcPBpx2tIFENh3N8)_)\n\n👋 Hey friends, we're Nazz and Francisco. We spent years at HubSpot running its three largest customer platforms, and we're backed by HubSpot founder Dharmesh Shah.\n\n**The problem: general-purpose agents aren't built for high-volume GTM**\n\nThe best GTM engineers can wire HubSpot, Clay, Outreach, Gong, and Slack into agents that run a revenue team. But run that same work through a general agent and it re-reasons every step, burns your entire weekly limit overnight, and still isn't reliable at volume. Almost nobody can hire enough GTM engineers to do it properly.\n\n**How Nex works**\n\nDescribe a goal, and Nex builds and runs the workflow across 1000+ integrations:\n\n* Lead generation, qualification, and enrichment\n* Scraping public records\n* Outbound over email and socials\n* CRM cleanup and hygiene\n* Re-engaging lost deals\n\nBecause most GTM work is repetitive and deterministic, Nex has AI write code for the predictable parts and run it fast without wasting tokens, saving AI judgment for the genuinely hard parts. That's how it breezes through high-volume work while not burning through your monthly AI budget in a day.\n\n**What that looks like**\n\nOn a single onboarding call, Nex audited thousands of records in a customer's HubSpot, flagged missing data, archived owners, bad associations, and zombie deals, and started fixing them before the call was over.\n\n**Why this matters**\n\nGTM is the beachhead. The same engine runs any high-volume workflow that's too slow and too expensive to run straight through a general model, and that pattern shows up in every operations-heavy function: finance reconciliations, support triage, recruiting outreach.\n\n**Our ask**\n\n* Try it free at [nex.ai/signup](http://nex.ai/signup)\n* If you run RevOps or GTM at a fast-moving company, we'd love to talk\n* If you know a RevOps or GTM leader, an intro would mean a lot: [founders@nex.ai](mailto:founders@nex.ai)",
        "url": "https://www.ycombinator.com/launches/Sv1-nex-claude-cowork-for-high-volume-workflows-starting-with-gtm",
        "votes": 7,
        "created_at": "2026-08-17T22:00:00.274Z"
      }
    ]
  },
  {
    "id": 33345,
    "name": "CueBench",
    "slug": "cuebench",
    "former_names": [
      "CueBench",
      "Snap Poker"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fc25d9ffc54b20b2ccee87e57733b12a6e8edf1.png",
    "website": "https://cuebench.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "RL post-training for science reasoning and performance engineering",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1786744876,
    "tags": [
      "Reinforcement Learning",
      "Data Engineering"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/cuebench",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/cuebench.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fc25d9ffc54b20b2ccee87e57733b12a6e8edf1.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Vivian Midha Shen",
      "url": "https://www.ycombinator.com/people/vivian-midha%20shen"
    },
    "founders": [
      {
        "user_id": 3732725,
        "full_name": "Dillon Mehta",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO at CueBench",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dillon-mehta-49aa2827b/",
        "x_url": "https://x.com/PickleDilll_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/812fc022db435026c7bee56ba58f916bfd5218ee.jpg"
      },
      {
        "user_id": 3762638,
        "full_name": "Neel Gadde",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder and CRO at CueBench",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neel-gadde-491880377/",
        "x_url": "https://x.com/neelapolitan?s=11",
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      },
      {
        "user_id": 3791688,
        "full_name": "Rishan Hemrajani",
        "title": "Founder",
        "founder_bio": "Co-Founder & CTO of CueBench.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rishan-hemrajani-254bba292",
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  },
  {
    "id": 33348,
    "name": "Autoresearch, Inc.",
    "slug": "autoresearch-inc",
    "former_names": [
      "hiloop"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b91efea37962386a163af58e2f2920b1e9d0aa7.png",
    "website": "https://autoresearch.inc",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Autoresearch helps teams train agents for tasks where general models are not good enough. Give us a task, your current agent or model, and an evaluation. Autoresearch runs an autoresearch campaign across data, SFT and other post-training methods, continual learning, prompts, tools, harnesses, and systems, then returns the best verified improvement. It runs hosted or in your cloud.\r\n\r\nWe provide the research system around models: persistent memory, full experiment lineage, compute orchestration, and statistical verification. We’re starting with agent and model training, continual learning, and optimization.\r\n\r\nReach out to us for early access at founders@autoresearch.inc.",
    "one_liner": "Autoresearch as a service: we solve your hardest measurable problems",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1785348094,
    "tags": [
      "Developer Tools",
      "Machine Learning",
      "Reinforcement Learning",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/autoresearch-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/autoresearch-inc.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/autoresearchinc/",
    "x_url": "https://x.com/hiloopai",
    "fb_url": null,
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b91efea37962386a163af58e2f2920b1e9d0aa7.png",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 1714115,
        "full_name": "Karan Brar",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Autoresearch, Inc. Previously ML at Reducto, Head of ML Infra at DynamoAI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brarkaran",
        "x_url": "https://x.com/deepmatmul",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e596ed985a539262821de87d80ea418725ab7a90.jpg"
      },
      {
        "user_id": 1597736,
        "full_name": "Thomas Boser",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Autoresearch, Inc. Previously engineer at Reducto, founding engineer at Crosswise, senior ML engineer at Discord, ML at Sentropy & SoFi.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tboser",
        "x_url": "https://x.com/thomasboser",
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    ],
    "jobs": [],
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    "launches": [
      {
        "id": 108337,
        "title": "hiloop: we run thousands of experiments to improve your models",
        "tagline": "Send us a hard task, your model or agent, and an eval. We run the research campaign and return a verified improvement.",
        "body": "We're Karan and Thomas, and we're building hiloop: **infrastructure for automated research**.\n\n**TL;DR: we gave two stock coding agents 50 B200s and our infra. They ran 4,188 experiments in two days and beat the published state of the art on [Karpathy's autoresearch benchmark](https://github.com/karpathy/autoresearch). The same machinery found a [NanoGPT speedrun](https://app.primeintellect.ai/speedrun/nanogpt) candidate that beats the best known result. [See](https://hiloop.ai/blog/search-is-enough/) full writeup.**\n\nNow we want to point it at your hardest problems.\n\n![uploaded image](/media/?type=post&id=108337&key=user_uploads/1714115/63396f7f-3e21-41ea-83ea-54cbaaa9f63f)\n\n**The results**\n\nOn Karpathy’s autoresearch benchmark, our final recipe reached **0.9016 val_bpb**. The previous best published result was [Recursive’s 0.9109](https://www.linkedin.com/pulse/first-steps-toward-automated-ai-research-recursive-si-kybtc) on B200 hardware. For NanoGPT, our implementation had **12.54% lower runtime** than upstream.\n\nThere was no bespoke research agent or elaborate scaffold. We used Claude and GPT-5.5 out of the box. What changed was the system around them.\n\n**What hiloop does**\n\nGive us a hard task, your current agent or model, and an evaluation criteria. Hiloop runs an autoresearch campaign across training, data, prompts, tools, harnesses, and systems, then returns the best verified improvement. It runs in your cloud or hosted by us.\n\nWe’re starting with agent and model training: SFT, post-training, continual learning, and optimization.\n\n[https://drive.google.com/file/d/1Rv8HttSHZ-yvSJk6hsWQsqCXWTHJQogK](https://drive.google.com/file/d/1Rv8HttSHZ-yvSJk6hsWQsqCXWTHJQogK/view?usp=sharing)\n\n**Who we are**\n\nWe met at Reducto, where we built its ML, post-training, and platform systems. Karan previously led ML infrastructure at DynamoAI . Thomas was a founding engineer at Crosswise and an MLE at Discord and SoFi.\n\n**Two asks**\n\n1. **Want your models or agents better, faster, or cheaper?** If you have a hard objective in post-training, continual learning, inference optimization, or classic ML, send us the task, your baseline, and the eval. We’ll personally run a campaign with you through verified improvement.\n2. **Building autoresearch or RSI loops?** Reach out to give our system a try! We’d love to compare notes.\n\nEmail [**founders@hiloop.ai**](mailto:founders@hiloop.ai) to get in touch with us!",
        "url": "https://www.ycombinator.com/launches/SBN-hiloop-we-run-thousands-of-experiments-to-improve-your-models",
        "votes": 8,
        "created_at": "2026-07-29T19:50:09.250Z"
      }
    ]
  },
  {
    "id": 33540,
    "name": "Osseus",
    "slug": "osseus",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd39ca163a2a8ea396a6ec66701926317f9f416c.png",
    "website": "https://osseus.ai/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "In an era of cheap intelligence, the most important application of AI will be to improving human health, globally. Osseus is building the frontier medical AI lab, starting with the clinical datasets, evaluations, and reinforcement learning environments that help AI labs train more capable, aligned, and safe models.",
    "one_liner": "The frontier data platform for aligned health and biological AI",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1783740069,
    "tags": [
      "B2B",
      "Biotech",
      "Healthcare",
      "Data Engineering",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/osseus",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/osseus.json",
    "year_founded": 2026,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/osseus-intelligence",
    "x_url": "https://x.com/osseusinc",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd39ca163a2a8ea396a6ec66701926317f9f416c.png",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1409413,
        "full_name": "Anish Mariathasan",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Osseus (YC S26). Prev. co-founded a compliance AI startup. ML research at a Harvard-HKU joint lab on computer vision for cancer research. MEng in Biomedical Engineering from Imperial College London, dropped Oxford PhD in AI for Health. Awarded academic scholarships for both.",
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        "full_name": "Athreya Anand",
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        "full_name": "Rishov Sarkar",
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        "founder_bio": "Co-founder & CTO at Hardware Intelligence. Rishov graduated with his PhD in Electrical & Computer Engineering from Georgia Tech with six published first-author/co-first-author conference papers, including one best paper runner-up. He also developed simulators for AMD's AI Engine accelerator and worked on LLVM-based compilation flows at Siemens EDA. He earned his MS and BS in Computer Engineering from Georgia Tech.",
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      {
        "id": 107661,
        "title": "hardware intelligence: AI tools for the chips your AI runs on",
        "tagline": "Bringing the $20B chip tooling industry into this decade",
        "body": "---\n\n---\n\n**Update:** We’ve just launched our second tool, WaveZip - a genuine breakthrough method for capturing and storing waveforms. Read more at <https://hardwareintelligence.ai/wavezip/>\n\n---\n\n---\n\n<https://www.youtube.com/watch?v=KJTH-nNl6qQ>\n\n—\n\nWe’re Athreya and Rishov - the founders of [@hardware intelligence](https://bookface.ycombinator.com/company/33573). We’re here to pick a fight with the $20B industry whose debuggers suck and won’t open until an ancient license server gives it permission.\n\n**TL;DR: Our first product, Wave, is a SOTA waveform debugger that lives completely in the terminal, built for the agentic era.** An agent can jump you to the moment a design breaks, drag in waveforms and manipulate them, trace bad signals to its source and even prove its fix against the simulation - all visual. We allow teams to build better chips in less time.\n\n**The quick ask:** If you or anyone you know builds or verifies chips (ASICs/FPGAs), please email us! We would love to talk :)\n\n<https://www.youtube.com/watch?v=5nXvicwWONQ>\n\n❌ **The Problem**\n\nThe AI boom is a chip boom - more companies and teams than ever are designing silicon. However, the reality is hardware is not software: you can’t patch a chip after it ships. A bug that reaches manufacturing can be a nine-figure mistake. That’s why **companies spend 70% of the entire chip design process just on verification**.\n\nHardware verification engineers run thousands of simulated tests first on their code (simulation) which typically can take **hours to days**. If one of these tests fail, debugging means reading a waveform - a log of every signal, millions of ticks long, hiding the tick where a value went wrong. It’s literally a needle in a haystack… a big haystack. It’s common for these waveform files to be several gigabytes large. **Finding this needle is the single largest activity in verification.**\n\n**The current tools are dinosaurs.** 20-year-old GUIs behind license servers whose seats run six figures a year sold by our favorite incumbents: Synopsys, Cadence, and Siemens. Free tools are even worse.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/fd100b13-f0dd-45f0-8ee4-395edf96fcae)\n\nYes. This is from 2026.\n\nSoftware engineers got coding agents. Chip engineers got a queue for a license and whatever this is.\n\n👋 **What Wave actually does**\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/a75818b0-b001-466b-9586-705d26deb5f9)\n\nWave is the first of its kind! **A fully terminal-native waveform debugger with a verification agent built in.** Wave opens files before Verdi, the industry-standard viewer, finishes its license check. Let’s do a quick dive!\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/ac7e5c75-8abb-4a6d-881f-a2a9b883a8b3)\n\n**Why the terminal?** Surprisingly, most hardware engineers are terminal power users - typically doing all their coding in Vim. We wanted to meet them where they are and make our product extremely intuitive to use - we even employ Vim bindings across the interface.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/d4063fbc-2f57-4b5c-a421-bfaa697433d6)\n\n**Ask in plain english.** _Why is a wave x at 12.4us?_ The agent will pull in signals, act on them and trace the root cause. Everything happens in front of your eyes.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/8f37dd5c-22f0-4271-b665-a096c5dbfbd2)\n\n**Pick your fix and see it.** Wave will propose different approaches with tradeoffs. The definition of “best” in hardware design depends on the use case. Maybe you want to optimize for performance? Maybe for power? Pick the one for you! Wave re-simulates and re-reads the new waveform. See a diff of how the waveform changed and a visual indication of where the fix was implemented.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/b0875bc9-fb55-4275-8c7e-11f926bc597d)\n\nNow watch it fix a bug end to end with Rishov!\n\n<https://www.youtube.com/watch?v=eTycCILW6Jk>\n\n🙏 **Asks &amp; Offers**\n\nIf you design chips or lead a team, email us! We’d love to work with you and speed up your RTL development.\n\nKnow someone who does? Email us!\n\nJust want to chat about hardware? **EMAIL US!!**\n\n👬 **The Team**\n\nWe met in our freshman dorm at Georgia Tech nearly a decade ago! We became best friends and roommates for all four years of college - after, Athreya went to NYC to work at Google and Rishov stayed to do his PhD. We promised each other that once we’re free, that we’ll go all-in and work on something we’re passionate about together. Turns out, Rishov’s deep PhD thesis on chip simulation and compilers was the perfect spark.\n\nToday we announce our company and are roommates once again ❤️\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/eef30a82-c606-494a-a093-3649920c7857)\n\n—\n\nSay hi 👋 [hi@hardwareintelligence.ai](mailto:hi@hardwareintelligence.ai) · [hardwareintelligence.ai](http://hardwareintelligence.ai)\n\n[@Athreya Anand](https://bookface.ycombinator.com/user/551607) · [athreya@hardwareintelligence.ai](mailto:athreya@hardwareintelligence.ai)\n\n[@Rishov Sarkar](https://bookface.ycombinator.com/user/2565323) · [rishov@hardwareintelligence.ai](mailto:rishov@hardwareintelligence.ai)\n\nP.S. Wave is just the start 👀 We got some super cool things coming to close the loop of hardware engineering. ",
        "url": "https://www.ycombinator.com/launches/S0T-hardware-intelligence-ai-tools-for-the-chips-your-ai-runs-on",
        "votes": 50,
        "created_at": "2026-07-27T16:00:24.675Z"
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    "long_description": "Billow handles the work of Accounting and FP&A FTEs keeping teams compliant and audit-ready. We work within existing stacks (NetSuite, Coupa, and 80+ other systems) and complex spreadsheets, chasing down information and coordinating approvals across stakeholders. \r\n\r\nBuilt by repeat founders; Joan built and exited an accounting/ERP platform (45,000 businesses in 4 years) and Phil built Bloomberg's financial “brain” data infrastructure, and as CTO of a trading platform ($1B in volume). Advisors include CFOs, controllers, auditors from publicly-traded biopharma, and a Big-4 Accounting firm. ",
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        "full_name": "Joanathan McIntosh",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Billow AI Labs. Repeat, exited founder - built an accounting/ERP software (45,000 businesses in 4 years). Formerly en-route to become a CPA/CFA, ex-Merrill Lynch and StreetLight Data (AI/ML for the U.S. government and regulated industries).",
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        "linkedin_url": "https://linkedin.com/in/joanathanlim",
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        "user_id": 548009,
        "full_name": "Philip Moniaga",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Billow AI Labs. Phil (YC W22) had built Bloomberg’s finance \"brain\" data infra and co-founded/CTO of a trading platform ($1B+ in volume)",
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        "id": 110394,
        "title": "Billow - Killing Deloitte with AI",
        "tagline": "AI-native Accounting Firm for Enterprise",
        "body": "# **_We’re killing Deloitte with AI_**\n\n[https://drive.google.com/file/d/1YaUyJE-ZL0poxDAFGv962RniFsue5nyE](https://drive.google.com/file/d/1YaUyJE-ZL0poxDAFGv962RniFsue5nyE/view?usp=sharing)\n\n**Accounting is a $700B industry that hasn’t changed in 200 years.** Today, 80% of companies still do their accounting by hand – manually exporting data, building spreadsheets, and chasing approvals.\n\n**Billow is an accounting firm that replaces human accountants with AI agents.**\n\nWe connect to your existing tools (NetSuite, QuickBooks, and 80+ other systems) and use agents to provide faster, cheaper, and better accounting services. \n\n![uploaded image](/media/?type=post&id=110394&key=user_uploads/983067/43e1b7ba-2178-44e3-a001-690ad7b41766)\n\nThere is zero software for customers to use. Just integrate and we’ll close your books for you.\n\nIn the last three months, we went from an idea to partnering with Series B-D companies representing over $1B in enterprise value.\n\n**Team:**\n\n* [Joanathan McIntosh](https://www.linkedin.com/in/joanathanlim/) - Repeat VC-backed founder, built and exited an accounting/ERP platform (45k businesses in 4 years). Ex-Merrill Lynch and StreetLight Data (AI/ML for US Government)\n* [Philip Moniaga](https://www.linkedin.com/in/philipmoniaga/) - Repeat YC founder (W22). Built financial infra at Bloomberg and [Booking.com](http://Booking.com). CTO of a trading platform ($1B+ in volume).\n\n![uploaded image](/media/?type=post&id=110394&key=user_uploads/983067/0bf2a219-f426-444c-a7c2-dda2bbd7e6e7)\n\n**Ask - intros to:**\n\n* CFOs, Controllers, and VPs of Finance at companies with $40M+ in revenue or funding.\n* Fractional CFOs, accounting and advisory firms\n* **$5k referral or 1 US Open ticket for every closed customer.**\n\n[joan@thebillow.ai](mailto:joan@thebillow.ai) | [thebillow.ai](http://thebillow.ai)",
        "url": "https://www.ycombinator.com/launches/SiY-billow-killing-deloitte-with-ai",
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        "full_name": "Ramtin Shahzanian",
        "title": "Founder/CEO",
        "founder_bio": "failing my way through.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ramtin-shahzanian/",
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        "id": 110488,
        "title": "Magma - AI labs will pay you to learn from your agent's mistakes",
        "tagline": "We enable any company monetize its agents' traces!",
        "body": "**TL;DR:** Magma enables companies building AI agents to monetize their data in a few clicks.\n\n<https://youtu.be/NIqRZSu82JM>\n\n**❌ The problem**\n\nIf a product uses AI agents, every interaction creates valuable data. That could be a user correcting an agent’s mistake, or an agent discovering a new way to complete a workflow. That real-world data currently sits unused, while the best alternative is human annotators inventing hypothetical scenarios.\n\n**✅ What we do**\n\nMagma turns that data into recurring revenue for companies.\n\nCompanies share their agents’ traces in a few clicks. Access is read-only and encrypted, and nothing is shared without approval. Magma anonymizes the data, turns it into complex training environments, and handles licensing to AI labs. Every time the data is licensed, the company gets paid.\n\n**👋 Who I am**\n\nI’ve previously built the first Persian OCR model and legal LLM for my startup in Iran, formulated new transformer-based ML architectures in Oxford, and created a dev tool context management for agents that worked so well I decided to repurpose it to extract training data from traces (now Magma).\n\n![uploaded image](/media/?type=post&id=110488&key=user_uploads/3107607/07bc99c4-63f2-4235-870e-9b97977f8c43)\n\n**🧐 But why?**\n\nWe believe no two AI agents on the planet should be corrected for the same mistake. This is why we're building infrastructure to turn the experience of any AI agent into generalizable learning signals to improve any other AI agent.\n\n**🫡 Our ask**\n\nDo you know anyone at a frontier lab looking for RL environments built from real production workflows, or at an enterprise in need of fine-tuning their models on niche tasks? Let us know and we can help: [ramtin@magmahq.ai](mailto:ramtin@magmahq.ai)\n\nAlso, you can start monetizing your agents’ traces at: [magmahq.ai](http://magmahq.ai)",
        "url": "https://www.ycombinator.com/launches/Sk4-magma-ai-labs-will-pay-you-to-learn-from-your-agent-s-mistakes",
        "votes": 37,
        "created_at": "2026-08-14T01:00:00.832Z"
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    "name": "Grep AI",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Grep AI is the fastest way to create, optimize, and deploy agents for tedious, complex operational work that slows down your business. Our self-improving agents learn from every run, making them smarter and cheaper as you scale. IG.com a global retail brokerage used our agents to review compliance alerts and now 80% of their customers onboad without manual intervention, doubling first trades and propelling them to a FTSE 100 company. \r\n\r\nCustomers including Airwallex, Worldpay, Citizens Bank, FV Bank and Shopmonkey have used our agents to automate over 250,000 of operational work across compliance, onboarding, underwriting, corporate due diligence, document verification, merchant categorization, market and competitive research, rev ops and much more.\r\n\r\nWe founded Grep AI after experiencing firsthand how manual workflows can prevent a business from growing when we ran the platform team at Brex. We're now on a mission to rid businesses of tedious, repetitive so their employees can focus on the most high leverage tasks that matter.",
    "one_liner": "Self-improving agents that automate your growth bottlenecks",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1790019866,
    "tags": [
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      "America / Canada"
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We met at Brex in 2020, where we worked on the platform team and saw how manual operational work could become a bottleneck to growth. Even straightforward onboarding tasks required people to research information, handle exceptions, and make decisions.\r\n\r\nWe started Parcha in 2023 to build AI agents for compliance workflows. That gave us firsthand experience with repetitive, high-stakes work where accuracy and control matter. We built Grep AI to make those capabilities available to teams automating repetitive knowledge work across their business."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started in 2023 as Parcha, building AI agents for compliance teams. Working on those workflows taught us how to handle complex research, exceptions, and judgment while keeping people in control.\r\n\r\nWe also saw the same need beyond compliance. In 2026, we expanded into Grep AI, a managed agent platform for repetitive, high-stakes knowledge work across operations, research, and other business functions. We are now building self-improving agents that learn from repeated work, with the goal of improving accuracy and reducing cost as they scale."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Businesses are full of repetitive work that still requires research, judgment, and context. Reviewing documents, investigating a business, or researching a prospect can look similar from one case to the next, but exceptions make rigid automation difficult.\r\n\r\nThe people who understand these jobs often have to do them manually or wait for engineering help. Grep AI lets them describe the work and create managed agents to repeat it, with tools, shared context, and controls. Our focus is work that needs to be accurate and economical when it runs thousands of times.\r\n\r\nAt IG Group, our agents review screening alerts during customer onboarding, clearing false positives and escalating cases that need manual review. The IG case study reports that activation time for flagged customers fell from 2–3 days to under 10 minutes."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We want to rid businesses of tedious, repetitive work so their employees can focus on the highest-leverage tasks. The people who know a workflow best should be able to turn it into a managed agent without having to build and maintain the infrastructure themselves.\r\n\r\nAs those agents repeat the work, they should become more useful and less expensive to run. Success means teams can grow without manual operational work becoming the bottleneck."
      }
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    "url": "https://www.ycombinator.com/companies/grep-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/grep-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/grep-ai",
    "x_url": "https://x.com/grepdotai",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 21987,
        "full_name": "AJ Asver",
        "title": "Founder/CEO",
        "founder_bio": "Building AI agents for high-stakes work you can't afford to get wrong at Grep AI. I previously led AI/ML-related products at Coinbase and Brex. My first startup, Scoopler (YC S08), was acquired by Google, where I worked on integrating AI into Google Photos and Android phones/tablets.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ajasver",
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    "launches": [
      {
        "id": 117558,
        "title": "Grep AI: Self-improving agents that get smarter and cheaper at the same task",
        "tagline": "Create an agent in minutes. It gets smarter and cheaper with every run.",
        "body": "Hey everyone!\n\nWe’re AJ and Miguel from Grep AI. We’re building self-improving agents for tedious, repetitive work that’s slowing down your business. [IG.com](http://IG.com), a UK-based online brokerage, used our agents to automate 80% of onboarding, unlocking a record year of growth that led to their graduation to the FTSE 100.\n\nLaunch video: <https://youtu.be/s9NEm6rRcCA>\n\n**The problem: repetitive work that requires judgment and expertise is still too hard to automate and scale.**\n\nAt Brex, we had 2,000 businesses waiting to onboard because we needed to manually review each one to verify they had a physical address. Fast-growing companies are full of tedious, repetitive tasks like this that become a bottleneck to growth, but require research, judgment, and some expertise.\n\nBut getting an agent to accurately and efficiently complete a task that requires automation, investigation, and some judgment thousands of times is still a challenge.\n\nHard-coded LLM workflows like LangGraph and n8n are cheaper to scale, but can’t adapt to edge cases. E.g., the business has a physical address on Google Maps, but it’s actually a mailbox in a co-working facility.\n\nGeneral-purpose agents like Codex, Cowork, and Copilot are much better at handling exceptions, but when performing repetitive tasks, they waste expensive tokens reasoning through the workflow as if they were a new employee. Enterprises often offshore these types of tasks at $6-$12/hr, so if the agent costs $4/tasks they are not going to use it.\n\n**Grep AI: Self-improving agents that get smarter and cost less with every run.**\n\nGrep AI is a managed agent platform that lets you create, optimize, and deploy self-improving agents to automate repetitive work in minutes without writing any code. Our agents learn from every run, getting smarter and costing less as you scale them.\n\nHow Grep AI works:\n\n* **Create an agent in minutes** with just a prompt and any useful docs. Grep uses deep research, a library of more than 300 built-in skills, and over 100 data integrations to make each agent an expert out of the box.\n\n  ![uploaded image](/media/?type=post&id=117558&key=user_uploads/21987/30597b7c-03c9-4bc6-aa9d-542b42f8b550)\n\n* **Frontier or open-source models:** Unlike OpenAI’s Agent API or Claude Managed Agents, you aren’t locked into one model provider.\n* **Self-improving harness:** Our harness learns as it repeats a task, moving repeatable steps from frontier LLM calls into workflows and code, so it gets smarter and cheaper with every run.\n* **Secure sandbox:** Agents run in a secure sandbox with a file system, audit logs, access controls, and cost caps included.\n* **Run from anywhere:** Use agents manually in our app, or via schedules and monitors, batches, API, MCP, and TypeScript and Python SDKs.\n* **Stay in control:** Manage your agent workforce with a central dashboard to monitor cost, accuracy, and auditability.\n\n  ![uploaded image](/media/?type=post&id=117558&key=user_uploads/21987/e63bf34e-dfd1-42cf-94cc-68ee90612083)\n\n\n**How companies use Grep AI**\n\nCompanies like Airwallex, Citizens Bank, Worldpay, Global Payments, and Shopmonkey use Grep for business due diligence, underwriting, document verification, HR operations, GTM ops, competitive intelligence, and social and market research. \n\nIn six months we’ve saved these companies over 150,000 hours of work\n\n**Why us?**\n\n**AJ** led AI/ML products at Coinbase and Brex. His first startup was acquired by Google, where he worked on Google Photos and Android.\n\n**Miguel** led Platform Engineering at Brex across ML, data, financial infrastructure, and compliance operations tooling. Before that, he led data science at Twitter.\n\nWe met at Brex in 2020, where we scaled the customer base 10x in a year with automation across risk, compliance, customer support, and operations, before AI agents existed. That experience inspired us to start working on AI agents for compliance teams in 2023. Then we took everything we learned from building agents and turned it into a managed agent platform to scale any repetitive work.\n\n**Do you have any repetitive operations/back-office work that’s slowing down your company?**\n\n* Go to <https://grep.ai> or point your coding agent there to get started.\n* Book an onboarding call with us here: <https://calendly.com/grepai/grep-onboarding>\n* Or reach out to [founders@grep.ai](mailto:founders@grep.ai), and we’ll help you tune an agent for your workflow.",
        "url": "https://www.ycombinator.com/launches/Ua6-grep-ai-self-improving-agents-that-get-smarter-and-cheaper-at-the-same-task",
        "votes": 12,
        "created_at": "2026-10-05T14:00:00.178Z"
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    "name": "Caution",
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    "website": "https://caution.co",
    "all_locations": "George Town, George Town, Cayman Islands",
    "long_description": "Caution is a hosting platform for software you can't afford to get hacked. It simplifies and extends confidential compute, and lets developers deploy workloads to secure enclaves in minutes and give customers, auditors, and counterparties cryptographic proof that production is running the exact reviewed source code, build, configuration, and runtime - not an opaque binary controlled by a cloud operator or internal admin.\r\n\r\nConfidential computing hardware exists, but the tooling is too fragmented and incomplete for most teams to use well. Today, attestation often proves only that a binary has a certain hash; it does not prove what source code produced that binary. Building the missing deployment, reproducibility, and verification layer requires specialized security engineering and often locks teams into one cloud or hardware stack. Caution turns that into a simple git-based workflow that builds reproducible enclave images, provisions infrastructure, and lets anyone independently verify what is running.\r\n\r\nWe built Caution after years securing high-risk systems through Distrust, where we worked with hedge funds, custodians, blockchain teams, cloud platforms, and critical grid operators on systems responsible for more than $600B in assets. Again and again, the same problem showed up: teams running mission-critical infrastructure could not reliably prove what was executing in production.\r\n\r\nAs AI, fintech, healthcare, and regulated data collaboration move into the cloud, \"trust us\" is no longer enough. Caution is a general-purpose platform: if it runs on a server, it can run verifiably on Caution. We're starting where trust failures cost the most, but we believe verifiable compute will become the default way software runs, the same way HTTPS became the default way it's served. Infrastructure you can verify, not trust.",
    "one_liner": "Hosting platform for software you can't afford to have hacked",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1785719703,
    "tags": [
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      "Cloud Computing",
      "Infrastructure"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/caution",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/caution.json",
    "year_founded": 2025,
    "city": "George Town",
    "country": "KY",
    "linkedin_url": "https://www.linkedin.com/company/cautionco",
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    "primary_partner": {
      "name": "Brad Flora",
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        "user_id": 3655130,
        "full_name": "Anton Livaja",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder/CEO of Caution (YC S26). We give teams a hosting platform to run sensitive workloads in secure enclaves and cryptographically prove what code is running in prod. Previously co-founded Distrust, securing systems for hedge funds, custodians, and critical infra responsible for $600B+ in assets. Deep in confidential computing, supply chain security, and applied cryptography. Mission: improve the freedom, security, and privacy of as many people as possible.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alivaja/",
        "x_url": "https://x.com/antonlivaja",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6dddfa8391b5f9fce21fa7496e2368d59ef6987.jpg"
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        "user_id": 3654857,
        "full_name": "Ksenia Lesko",
        "title": "Founder",
        "founder_bio": "Co-founder at Caution, where we help teams run sensitive workloads in secure enclaves and cryptographically prove what code is running in production. I lead the business and product side; previously ran strategy and ops at Distrust (distrust.co) and led customer education and activation at Ada (ada.cx).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ksenialesko/",
        "x_url": "https://x.com/xenush",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ecf3715be1ffcf30eedb062148902b9a1458237.jpg"
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      {
        "user_id": 52788,
        "full_name": "Lance Vick",
        "title": "Founder/CTO",
        "founder_bio": "Technology sovereignty maximalist. Lead security architect at Caution. Former security lead at Turnkey, BitGo, Unit 410, Pebble. Founded Stagex Linux distribution, and #! decentralized hackerspace. Experienced in Linux hardening, privacy, software engineering, security auditing, cryptographic key management, tamper evidence, HSMs, and supply chain security. Frequently internet infamous for exposing security negligence. Prolific mechanical puzzle collector, lockpicker, and hardware hacker.",
        "is_active": true,
        "linkedin_url": "https://lance.dev",
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      {
        "id": 108800,
        "title": "Caution: Hosting platform for software you can't afford to have hacked",
        "tagline": "Deploy to secure enclaves in minutes, isolate sensitive workloads, cryptographically prove what code is running.",
        "body": "Hey everyone! We're [Anton Livaja](https://www.linkedin.com/in/alivaja/), [Lance Vick](https://lance.dev), and [Ksenia Lesko](https://www.linkedin.com/in/ksenialesko/) from [Caution](https://caution.co).\n\n**TL;DR:** Caution is a hosting platform for software you can't afford to have hacked. Your software and data Istay protected even if your CI/CD pipeline, host infrastructure, or a developer laptop gets compromised. You go from source to a verifiable deployment in three commands. \n\n**Built for:** payment processors, PHI processors, AI agents, policy and fraud engines, secrets management, and other sensitive workloads.\n\n[https://drive.google.com/file/d/1u-l2TSBQO2t5dbhBsatCkZf5earCTyDD](https://drive.google.com/file/d/1u-l2TSBQO2t5dbhBsatCkZf5earCTyDD/view?usp=sharing)\n\n### **Why we built this**\n\nOn February 21, 2025, attackers stole **$1.5 billion** worth of Ethereum from Bybit, the largest digital heist in history. They never breached Bybit's own infrastructure: North Korea's Lazarus Group compromised a single developer machine at Safe{Wallet}, Bybit's multisig provider, and injected malicious JavaScript into the signing interface. Bybit's team approved what looked like a routine transfer and handed over a cold wallet to the attackers. The code everyone trusted was not the code that was running.\n\nThis keeps happening because nearly all software runs on blind trust:\n\n* trust in the cloud host\n* trust in production admins\n* trust in CI/CD\n* trust that the code you reviewed is the code actually running\n\nIf any part of that chain is compromised, an attacker can read your secrets, tamper with your business logic, or quietly run code your team never reviewed. It's the same failure behind SolarWinds and Codecov: tampered code arriving through a trusted channel, passing every check. Caution exists to shrink that attack surface and make the most sensitive systems verifiable.\n\n### **Caution proves exactly what's running on your server**\n\nCryptographically, and in real time. Deploying into secure enclaves normally takes a specialist team and months of integration. Caution automates the entire flow: source to verifiable deployment in minutes, with three commands:\n\n![uploaded image](/media/?type=post&id=108800&key=user_uploads/3654857/f3161435-2a97-4207-915a-96375a72be82)\n\n**🎥** [Watch Anton walk through the platform](https://caution.co/platform-tour.html)\n\nUnder the hood, **Caution is a verifiable confidential compute platform:** hardware-backed cryptography isolates your workloads, preserves data privacy, and proves what software is running on a server in real time. The entire platform is open source, so verification never requires trusting us. In practice, this eliminates entire classes of attacks out of the box:\n\n* **Build &amp; CI/CD tampering**: reproducible, multi-party signed builds mean injected code can't pass as a legitimate release.\n* **Infrastructure &amp; insider compromise**: a compromised cloud account, admin, or laptop can't silently swap what's running.\n* **Runtime data theft**: data is processed in hardware-isolated enclaves, unreadable even to the host, the cloud provider, or us.\n\nCaution guards against everything but first- or third-party code bugs: if the release you approve has a flaw, that's what runs. Nothing can be added, no fix can be stripped out, and every patch is provably live.\n\n### **Why now**\n\nWith advances in AI, attacks that used to require rare, expensive expertise are now cheap and scalable, and the gap between a vulnerability existing and being exploited is collapsing toward zero. Reactive patching was already losing. It can't win a race against automated attackers.\n\nIn the post-Mythos world, the security model has to flip. Infrastructure can no longer assume it won't be compromised. It has to be built to stay secure even when the host, the pipeline, or individuals with privileged access are compromised, and to prove, cryptographically, that it has. That's what Caution does.\n\nCaution is a general-purpose platform: if it runs on CPU or GPU, it can run verifiably on Caution. We're starting where trust failures cost the most, but we believe verifiable compute will become the default way software runs, the same way HTTPS became the default way it's served.\n\n### **Why us**\n\n[Anton](https://www.linkedin.com/in/alivaja/) and [Lance](https://lance.dev) have spent their careers securing some of the most security-critical systems in the world: BitGo, Ledn, Turnkey, OpenZeppelin, and Unit 410 (later acquired by Coinbase). Across hundreds of engagements, from hedge funds to critical grid operators, the systems we've helped secure hold more than **$600B** in digital assets. [Ksenia](https://www.linkedin.com/in/ksenialesko/) spent years helping enterprises adopt new technology, and now leads go-to-market, customer education, and operations at Caution, turning deep security engineering into a product companies can understand, buy, and use.\n\nWe've been the people companies call in when this class of attack hits. Teams needed stronger guarantees against supply chain and runtime attacks, but existing solutions were too hard, too bespoke, or too expensive. So we built the platform we kept wishing existed.\n\n### **Traction**\n\nCaution is in production and onboarding customers spanning crypto infrastructure, blockchain labs, digital asset lending, consumer hardware, post-quantum security, and private AI inference.\n\nWe support AWS Nitro Enclaves today. Intel TDX, AMD SEV-SNP, TPM 2.0, NVIDIA Confidential Computing, and broader cloud support is in active development and coming soon.\n\n### **Our ask**\n\nIf you're running software where sensitive data must stay private or business logic can't be tampered with, we'd love to help you level up your security. [Book 20 minutes with us](https://caution.co/contact.html) or email us at [founders@caution.co](mailto:founders@caution.co).\n\nWe'd especially love to hear from you if you're a:\n\n* security team that wants proof, not promises, from your infrastructure\n* fintech running payments, policy, or fraud engines\n* crypto custodian, exchange, or wallet team that can't afford another Bybit\n* healthcare or AI company processing PHI or other regulated data\n* team giving AI agents production credentials and losing sleep over it\n* company using AI inference with sensitive data\n\nYou can also learn more on our [blog](https://caution.co/blog.html), and follow us on [LinkedIn](https://www.linkedin.com/company/cautionco/) and [X](https://x.com/CautionHosting) for updates.",
        "url": "https://www.ycombinator.com/launches/SIq-caution-hosting-platform-for-software-you-can-t-afford-to-have-hacked",
        "votes": 59,
        "created_at": "2026-08-04T17:02:42.242Z"
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    "id": 33674,
    "name": "UFO.ai",
    "slug": "ufoai",
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    "website": "https://ufo.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "UFO is the operating platform for your business built by the creators of Github Copilot and Perplexity Computer. \r\n\r\nUFO learns your company, goals, tools, and workflows. UFO builds what your team needs to keep work moving.",
    "one_liner": "Next-generation agent operating system",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1790567216,
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    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
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    "url": "https://www.ycombinator.com/companies/ufoai",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ufo-dot-ai/",
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        "full_name": "Marshall Kiely",
        "title": "Founder",
        "founder_bio": "ufo.ai previously: Perplexity finance lead, quant finance, founding AI eng Notable Health, ML @ Mixpanel. Princeton PhD comp bio – first author Nature and Science papers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marshall-ai",
        "x_url": "https://x.com/flyingobjectai",
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  },
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    "id": 33738,
    "name": "CoArena",
    "slug": "coarena",
    "former_names": [
      "Coasty"
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    "website": "http://coarena.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CoArena is a live arena where anyone can use the world's top computer-use models racing two of them on the same real computer task and judging which one did it better. Every battle becomes something the AI labs can't build themselves, an honest test of their agents on real work, and the data to make them better.",
    "one_liner": "The biggest crowdsourced benchmark for Computer-Use",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1782294083,
    "tags": [
      "AIOps",
      "Machine Learning",
      "Reinforcement Learning",
      "Data Labeling",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/coarena",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/coastyai",
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      {
        "user_id": 1194042,
        "full_name": "Prateek Jannu",
        "title": "Founder/CEO",
        "founder_bio": "Prateek Jannu, Co-founder & CEO - Stanford (MS. EE) and Purdue (BE. CE). Invented Solo-Synth-GAN, which generates labeled training data from a single example. Built Coasty to #1 on the OSWorld benchmark (82%), beating Agent S3, UiPath, Kimi K2.5, and Claude Sonnet 4.5. Now building CoArena.",
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        "user_id": 2457255,
        "full_name": "Nitish Kovuru",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO/COO of Coarena, launched Coasty prev, SOTA CUA framework on OSWorld at 83% accuracy. Did CS at Columbia (Vision track) and hold a BS in Computer Engineering from Purdue, where I TA'd a graduate-level AI course as an undergrad and later went on to build enterprise sales automation agentic systems for my previous company.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nitish-kovuru-2423351b4",
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      {
        "id": 111689,
        "title": "Coarena - The biggest crowdsourced benchmark for Computer-Use",
        "tagline": "We build the most advanced and biggest benchmark for computer use",
        "body": "We are officially launching CoArena (YC S26). Released 2 weeks ago, users have doubled every week since, and the arena went from $0 to $60,000 in revenue since. It's a live arena where the world's top Computer-Use models race to finish the same real computer task, and real people judge which one did it better, blind.\n\n<https://youtu.be/TB_9YMYCWw4>\n\n![uploaded image](/media/?type=post&id=111689&key=user_uploads/1194042/43ddaa95-1f50-4b30-b0a4-9b085433ec3c)\n\n**The problem**\n\nEvery AI lab says their agent is the best at using a computer, and every claim points at a benchmark score. We know those scores well: earlier this year we built the #1 agent on OSWorld (82%). That's exactly how we learned the scores mean very little. Benchmarks are static, agents memorize them, and they say nothing about the messy tasks people actually need done.\n\n**What we built**\n\nOn CoArena, anyone can type a real task (\"find me the cheapest flight,\" \"assemble this expense report\"), watch two anonymous frontier agents race it live, and vote on the winner. Names are revealed only after you vote, so the judging is blind. Every battle becomes a fresh eval no model has ever seen, and the failure cases labs never catch: prompt injection, spending money when it should ask, silent side-effects.\n\n**What the arena has already shown**\n\n\\- Only \\~66% of agent runs finish their task at all 1 in 3 dies to a failure before any score exists\n\n\\- On identical tasks, the best frontier agent completes \\~87% of runs; the worst completes \\~42%\n\n\\- One major frontier model times out in roughly a third of its runs\n\n\\- In \\~7% of battles, human judges ruled that BOTH agents failed\n\n\\- The #1 spot on our leaderboard changed hands three times in three days, real tasks don't saturate\n\n**What you get**\n\nIt's completely free, including models you can't use anywhere else (Fable, Sol, and unreleased previews). Run your real errands with frontier agents, keep whatever they produce, and find out which model is actually best at YOUR kind of work, not the benchmark's.\n\n**Our asks**\n\n1\\. Use it, it's free. Bring your daily work: the flights, the spreadsheets, the research. Two frontier agents will race it, you keep the result, and your vote makes the leaderboard more honest: <https://coarena.ai>\n\n2\\. If you're an AI lab working on computer use or vision, or a robotics company building on vision, we'd love to talk. We can send you sample evals and data today: [founders@coasty.ai](mailto:founders@coasty.ai)",
        "url": "https://www.ycombinator.com/launches/T3R-coarena-the-biggest-crowdsourced-benchmark-for-computer-use",
        "votes": 59,
        "created_at": "2026-08-22T19:00:00.303Z"
      },
      {
        "id": 105157,
        "title": "Coasty: The computer-use agent that doesn't break on real software",
        "tagline": "Coasty helps developers kill RPA.",
        "body": "**TL;DR: Coasty gives developers a computer-use agent that reliably automates back-office work in legacy desktop software where RPA scripts and other CUAs fail. It’s achieved 82.81% on OSWorld and it’s great at automating workflows where quiet mistakes cost the most: regulatory filings, patient records, payments, and gives developers precise control and observability over its work.**\n\n<https://www.youtube.com/watch?v=3EwLfqlgDEM>\\\n(_The portals and the data in it, are mockups_)\n\n**Replayable audit trail (real run):** <https://coasty.ai/share/5b3320fc-0e64-4f1b-b684-9fd6e8cd8960> \n\n**OSWorld submission (Coasty scored 82.81% on OSWorld Verified, confirmed by the OSWorld team, with our latest internal run at 85.60%.):**[ https://github.com/coasty-ai/coasty-osworld](https://github.com/coasty-ai/coasty-osworld)\\\n\\\n**The Problem**\n\nMost back-office work doesn't happen in clean web apps. It happens in legacy desktop software, full of surprise pop-ups, wandering menus, and impenetrable UIs.\n\nToday, developers automating this back-office “real” work are stuck choosing between brittle RPA scripts and CUAs that demo beautifully and score high but break on contact.\n\nThe problem isn't getting an agent to click. It's trusting it when a silent mistake gets someone fired.\n\n### **Why Coasty is reliable where others aren't**\n\n**It recovers mid-task.** Coasty catches its errors and fixes them mid-run. If it’s crunching on a 20-step workflow and makes a misclick at step 3, it will recover and start from the error. First-pass accuracy is vanity. Recovery keeps a run alive.\n\n**It survives messy software.** Pop-ups, modals that steal focus, legacy desktop apps. Coasty doesn’t record clicks, it reads the screen. So when the UI changes overnight and every RPA script breaks, Coasty looks at the new screen and keeps going.\n\n**It knows when it's done.** An agent that thinks it finished but didn't is worse than one that fails loudly. Coasty verifies its own output and leaves a timestamped audit trail you can replay.\n\n**It swarms.** One task across forty state portals, each with its own ancient interface, all at once. Forty agents, one verified result set. What takes a team a week, is done overnight.\n\n### **Traction**\n\nCoasty has been verified by the OSWorld team and will be published soon, but also another internal benchmark we published (85.60%): &lt;<https://github.com/coasty-ai/coasty-osworld> >.\n\nWe have paying customers on four continents, a few thousand active users, and we have actually grown 24x since Claude Cowork came out.\n\n### **Why us**\n\nWe started working on this idea when models weren’t good enough for computer use (last summer), so we’ve built frameworks to test and run the perfect combination of models and harnesses to see what works in practice. Prateek worked as an ML engineer at multiple startups and dropped his Stanford admit while I did CS at Columbia and built my previous company’s entire agentic sales automation. We’ve grown with this field and have been working on it even before it got much attention, so we understand where CUAs mess up and how to deal with these messes realistically.\n\n### **The ask**\n\nSend us one workflow your team runs by hand. We’ll tell you straight whether Coasty can run it reliably today. If it looks automatable, we’ll build a working proof of concept on your real software before a long sales process.\n\nWe’re especially looking for intros to operators and executives in accounting, tax, insurance, healthcare, compliance, and data privacy - anywhere teams are still babysitting RPAs, clicking through legacy portals, reconciling records, filing forms, or moving data across old desktop software.\n\nHere's our Calendly:[ https://cal.com/coasty/15min](https://cal.com/coasty/15min)",
        "url": "https://www.ycombinator.com/launches/RM5-coasty-the-computer-use-agent-that-doesn-t-break-on-real-software",
        "votes": 12,
        "created_at": "2026-07-10T17:30:25.886Z"
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    "id": 33804,
    "name": "Neomatter",
    "slug": "neomatter",
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      "Lightfield"
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    "website": "https://neomatter.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Neomatter connects to a company’s email, chat, and business systems and does the legal work before it reaches the legal team. It gathers context, applies company policies and past decisions, and presents the completed work to in-house counsel for approval.",
    "one_liner": "AI that works for in-house legal teams",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1786835532,
    "tags": [
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      "B2B",
      "Legal"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
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      "Legal"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/neomatter",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/neomatter.json",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/neomatterai/",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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        "user_id": 1633544,
        "full_name": "Luke Wagner",
        "title": "Founder/CEO",
        "founder_bio": "Cancelled my plans for med school to move to San Francisco and co-found Neomatter (F26).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lukedwagner",
        "x_url": "https://x.com/lukedwagner12",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a2c49f5763a3e6526cc53dbfe11bf14250aef0c.jpg"
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      {
        "user_id": 1374397,
        "full_name": "Luke Mainwaring",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Neomatter. Previously CTO at DAHLIA Intelligence where we built an agentic personal assistant for students. BCS in Computer Science, dropped out.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/luke-mainwaring-850a34203",
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      {
        "id": 122248,
        "title": "Neomatter: The operating system for in-house legal teams",
        "tagline": "Every request shows up with the work already done.",
        "body": "## **TLDR**\n\nNeomatter is the operating system for in-house legal teams. It plugs into the places your company already works (email, Slack, Salesforce, etc) and picks up legal requests as they come in. When someone sends legal a contract or a question, the work is already done before a lawyer opens it, ready to review and approve.\\\n\\\n<https://youtu.be/delvI16C41E>\n\n## **The problem**\n\nEvery part of your company runs through legal.\n\nSales needs contracts signed. HR needs employment agreements. Finance needs board approvals. And every department has legal questions.\n\nBut legal teams spend a lot of their time on repetitive work: reviewing the same terms, searching for old agreements, answering familiar questions, and chasing information.\n\nThe software tools haven't solved this. One tool manages contracts, another handles requests, and another tracks approvals. Lawyers still have to piece the work together themselves.\n\nAnd when teams reach capacity, companies hire more lawyers or send work to expensive outside firms.\n\n## **What we’re building**\n\nNeomatter takes a request from start to finish. It gathers context, reviews documents, checks the company’s policies and precedents, and prepares the work for approval.\n\n## **How it works**\n\nNeomatter monitors the places legal requests already come through (email, Slack, teams, Salesforce, and more) and automatically triages requests to the right lawyer. Nobody has to tag anything or learn a new tool.\n\nThen it does the work. It reads everything, does the redlines, checks it against your team’s playbooks, drafts the reply, and waits for your decision. By the time you know the matter exists, 90% of the work has already been done. The lawyer opens finished work, checks the sources, writes any edits, and makes the decision.\n\nAnd it can handle anything. Commercial work, employment work, corporate work, a “can I do this?” question, or anything else a legal team receives. Neomatter does it all.\n\n![uploaded image](/media/?type=post&id=122248&key=user_uploads/1633544/eecfd55b-a702-4725-b7b3-3baed9d62b2f)\n\n## **The team**\n\nWe’re Luke &amp; Luke. We dropped out of university to move to San Francisco.\n\nWe believe AI has fundamentally changed how much work one person can do. After speaking with over 200 in-house legal teams, we realized AI can completely change the way lawyers work.\n\nWe’re building Neomatter to make that happen.\n\n## **The ask**\n\nIf you're a GC, Head of Legal, or in-house lawyer, book a call and we'll show you: <https://cal.com/luke-wagner-mpxe1o/30-minute-meeting>\n\nIf you know someone who works in legal at a company, we'd love an intro.\n\nOr reach us directly at [founders@neomatter.com](mailto:founders@neomatter.com).\n\nLuke &amp; Luke",
        "url": "https://www.ycombinator.com/launches/Vnk-neomatter-the-operating-system-for-in-house-legal-teams",
        "votes": 4,
        "created_at": "2026-10-15T17:00:00.152Z"
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    "id": 33805,
    "name": "Edviro",
    "slug": "edviro",
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    "website": "https://edviroenergy.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Edviro builds AI that operates energy infrastructure. We connect to meters, HVAC systems, batteries, solar, and other energy equipment and continuously handle the work required to keep them efficient: detecting and diagnosing problems to forecasting demand, simulating fixes, creating work orders, coordinating maintenance, and controlling equipment where authorized. Our energy world models learn how each site behaves, choose the highest-value actions, and verify the results against real operational, meter, and billing data.",
    "one_liner": "AI That Operates Energy Infrastructure",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1782807553,
    "tags": [
      "Deep Learning",
      "B2B",
      "Energy"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/edviro",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/edviro.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/edviro",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 3164154,
        "full_name": "Hursh Shah",
        "title": "Founder/CEO",
        "founder_bio": "19, Founder & CEO at Edviro. Prev. NeurIPS 2024, ChatGPT Lab. Patent pending medtech research. Prev. founded Skyglass, smart glasses startup that got accepted to PearX. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hursh-shah/",
        "x_url": "https://x.com/hursheybar2",
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      {
        "user_id": 1865110,
        "full_name": "Tanuj Siripurapu",
        "title": "Founder",
        "founder_bio": "19, Founder & CTO @ Edviro (YC S26). Prev. at RTX. Scaled a digital presence agency to 20k revenue in high school. Programming since age 9",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tanuj-siripurapu-747b58217/",
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        "id": 113407,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/edviro/jobs/PlLCBWC-member-of-technical-staff",
        "location": "San Francisco, CA, US / Remote (US)",
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        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$160K - $260K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 113409,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/edviro/jobs/xuWBSdL-founding-gtm",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$140K - $170K",
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      {
        "id": 112256,
        "title": "Edviro - AI that operates energy infrastructure",
        "tagline": "AI to operate energy infrastructure",
        "body": "# **Edviro: AI that operates energy infrastructure**\n\nHi all,\n\nWe’re Hursh and Tanuj, founders of Edviro.\n\n**TL;DR:** Edviro connects to a facility’s BMS, utility, sensor, equipment, and maintenance systems to build a world model of how the facility behaves. We use that model to detect problems, simulate interventions before anything is changed, and coordinate the best next action. We’re live in **34 facilities**, have identified more than **$400K in avoidable energy costs**, and are now opening our first partnerships with data center operators.\\\n\\\n<https://youtu.be/0sTQlaQGlOY>\n\n## **The problem**\n\nData centers are expected to drive roughly half of U.S. electricity-demand growth through 2030.\n\nThis is usually framed as a problem of producing more electricity. That is only part of it.\n\nPower must be delivered to the right sites, on the timelines data centers are being built, with the reliability their workloads require. Once a facility has that power, its operators still need to extract as much useful compute as possible from every available megawatt without compromising uptime.\n\nInside a data center, power, cooling, controls, equipment, workloads, and maintenance are tightly coupled. A workload shift changes the thermal profile. A cooling-control change affects both energy use and equipment margins. A maintenance decision can alter redundancy and available capacity.\n\nYet the data and workflows used to manage these systems remain fragmented across BMS, DCIM, EPMS, meters, sensors, maintenance software, vendor portals, and spreadsheets.\n\nMost existing systems can display telemetry or raise an alarm. They cannot reliably model how the entire facility will respond before an operator changes a setpoint, shifts a workload, services equipment, or adds capacity.\n\nOperators are left making high-stakes decisions with incomplete system-level context.\n\n## **What Edviro does**\n\nEdviro turns a facility’s operational data into a continuously updated world model.\n\nBy “world model,” we mean a model that estimates the current state of the physical system, learns how its components interact, and predicts how it will respond to a proposed action. \n\nEdviro:\n\n* Integrates data from building controls, utilities, sensors, equipment, and maintenance systems\n* Detects anomalies, energy waste, equipment degradation, and capacity constraints\n* Simulates operational and maintenance interventions before they are deployed\n* Recommends the best action while accounting for cost, reliability, and physical constraints\n* Uses agents to coordinate approvals, work orders, investigations, and follow-through\n* Verifies whether the expected operational and energy impact actually occurred\n\nFor a data center, this could mean determining whether existing power and cooling infrastructure can support additional IT load, testing a control-sequence change before deploying it, identifying which equipment issue is constraining capacity, or prioritizing maintenance based on the capacity and reliability it would recover.\n\nWe initially keep operators in control of every consequential action. As the models are validated and earn trust, more of the operating loop can be automated.\n\n## **Why we started with schools**\n\nEdviro began when I was 17 and working with my high school’s facilities team. I was given a year of district utility bills to analyze, built software to parse them, and discovered roughly **$360,000 in gas overbilling**.\n\nWe found that this was not an isolated problem. Schools operate large portfolios of aging, mixed-vendor infrastructure with fragmented controls, incomplete data, lean facilities teams, and very little room for wasted budget.\n\nThey forced us to build for the messy reality of physical infrastructure rather than clean laboratory data.\n\nToday, Edviro is live in **34 facilities** and has identified more than **$400,000 in avoidable energy costs** for building operators.\n\nA school is obviously not a data center. Data centers have denser instrumentation, much tighter uptime requirements, and more complex coupling between power, cooling, and compute. \n\nWhat transfers is the underlying architecture: connecting heterogeneous operational systems, estimating the state of a physical facility, simulating interventions, coordinating action across teams, and verifying the result. We are now building the data-center-specific models, integrations, and safety constraints directly with operators. Our first relevant research benchmark can be found here: <https://x.com/hursheybar2/status/2083299315003593037?s=20>\n\n## **Where we’re going**\n\nThe current generation of facilities software tells operators what has already happened.\n\nWe want Edviro to understand what is happening now, predict what will happen next, and help execute the safest and highest-value response.\n\nAs electricity becomes one of the primary constraints on AI growth, building more infrastructure will not be enough. We also need to operate the infrastructure we already have far more intelligently.\n\nThe long-term goal is not another dashboard. It is infrastructure that can understand itself and increasingly operate itself.\n\n## **Asks**\n\n1. **We’re looking for data center operators to become early design partners.** We are especially interested in facilities dealing with power or cooling constraints, capacity-expansion planning, recurring manual investigations, fragmented controls, or reactive maintenance. We can begin read-only, with operators retaining approval over every action.\n2. **We’re hiring energy-modeling engineers** across thermal systems, power systems, controls, scientific machine learning, and physical simulation.\n\nIf you operate a data center—or know the team responsible for operating one—we’d love to talk.\n\n[**www.edviro.com**](http://www.edviro.com)",
        "url": "https://www.ycombinator.com/launches/TCa-edviro-ai-that-operates-energy-infrastructure",
        "votes": 5,
        "created_at": "2026-08-26T17:00:00.166Z"
      },
      {
        "id": 104853,
        "title": "Edviro - Buildings are wasting money daily",
        "tagline": "Your building is wasting energy daily",
        "body": "**TL;DR:** Edviro helps facilities managers at large buildings save on their energy bills.\n\nFacilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager. In particular, in busy spaces like offices, we utilise Wi-Fi access points or our own occupancy sensors to reduce HVAC usage significantly. Our tools also allow institutions to maintain detailed service histories and equipment logs and to perform maintenance with AR. To date, we've saved clients six figures in multiple buildings. We’re also piloting with a construction company to conduct baselining and M&amp;V for sites they work with.\n\n**The team:**\n\nWe’re young technical founders. I’ve published at NeurIPS ‘24, conducted patent pending VR Alzheimer’s work, and founded a previous Aviation smart glasses startup that was accepted into PearX. Tanuj has been coding since he was 9, scaled a previous digital agency to $20k in revenue and previously did dev work at RTX.\n\nThis all started when I was working with my own high school’s facilities team. I saw how much waste there was and how fragmented his energy data was despite loads of smart controls and BMS systems. Initially I built a dashboard for him, and the product quickly caught on to more schools in NorCal.\n\n**Our ask:**\n\nWe’re looking for intros to facilities teams at school districts, real estate or data centres.\n\nAlongside that, we’re looking to work with construction teams who need help baselining and doing M&amp;V on their work post-project.\n\nIf you are connected to anyone in this space, would love to chat!\n\n![uploaded image](/media/?type=post&id=104853&key=user_uploads/3164154/9fe82a05-dd5a-4916-94f4-9cf0e8f54a05)\n\n",
        "url": "https://www.ycombinator.com/launches/RHB-edviro-buildings-are-wasting-money-daily",
        "votes": 5,
        "created_at": "2026-07-07T15:02:05.737Z"
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    "id": 33806,
    "name": "Experiential Labs",
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    "website": "https://experientiallabs.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are building an open source gateway for AI budget holders to control model access and turn their traffic into better models that they own. We're a team that has earned an ML PhD at Georgia Tech, scaled AutoGPT to 160k GitHub stars, and led a self-driving simulation team at Waabi.",
    "one_liner": "Open source AI gateway that turns your traffic into better models",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1782607347,
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    "url": "https://www.ycombinator.com/companies/experiential-labs",
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        "user_id": 3149739,
        "full_name": "Kion Fallah",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Experiential Labs. Previously Staff Research Scientist at Waabi leading the mixed reality simulation team. PhD in Machine Learning from Georgia Tech focused on synthetic data.",
        "is_active": true,
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      {
        "user_id": 411375,
        "full_name": "Silen Naihin",
        "title": "Founder/CTO",
        "founder_bio": "Built and grew AutoGPT to 160k stars. Did AI for science at the DOE. Previously cofounded Stackwise (was in W24) and various founding AI eng roles. Did continual learning, interp, and evals research.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/silen-naihin",
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      {
        "id": 109456,
        "title": "Experiential Labs - Turn your AI spend into a cheaper + better model you own",
        "tagline": "Train a model your company owns, guaranteed to match or beat frontier quality at 50% lower cost.",
        "body": "**TL;DR: Companies are spending more on AI every month, but almost none of that spending becomes an asset they own. We train a small language model for your company's use cases. You fully own it, and we guarantee the same or better quality as the frontier models you use today at 50% lower cost.**\n\n<https://youtu.be/YRkN_-6rl3Y>\n\nCompanies are spending more on AI every month, but almost none of that spending becomes an asset they own.\n\nThe prompts, traces, and use cases are yours, _but the model stays rented._\n\nSo you keep paying frontier prices for repetitive work a smaller, specialized model could do faster, cheaper, and often better\n\nWe built Experiential Labs to change that.\n\n**Here's how it works**\n\nKeep using GPT, Claude, or whatever models are already in your stack.\n\nExperiential Labs uses your traffic to build a simulation of the tasks, failures, and edge cases your agent encounters. You can also upload existing traces to bootstrap the process.\n\nThe platform trains you a model against that simulation, so it gets better at your specific use cases over time.\n\nAs your model improves, it earns more traffic. Hard requests can still go to the frontier. Everything else moves to your faster, cheaper model.\n\nYou own the weights, can run them wherever you want, and keep the profits they create. When a stronger base model comes out, we transfer what your model has learned instead of making you start over.\n\nOn some tasks we've seen up to 97% lower cost and +50% higher quality. Across a full deployment, we guarantee at least 50% lower cost at the same or better quality, backed by an SLA.\n\n**The team**\n\nWe are both AI researchers. Kion built simulation systems for autonomous vehicles at Waabi after earning his ML PhD at Georgia Tech. Silen built and grew AutoGPT to 160,000 GitHub stars and has worked across continual learning, evaluations, interpretability, and AI for science.\n\n## Our ask\n\nIf your company sends significant traffic to GPT, Claude, or other frontier models, we would love to help.\n\nIntros to founders and AI leaders with growing inference bills are also greatly appreciated.\n\n**Email:** [founders@xplabs.ai](mailto:founders@xplabs.ai) \n\n**Schedule a call:** <https://cal.com/silen/experiential-intro>\n\n**Website:** [xplabs.ai](http://xplabs.ai) ",
        "url": "https://www.ycombinator.com/launches/STQ-experiential-labs-turn-your-ai-spend-into-a-cheaper-better-model-you-own",
        "votes": 18,
        "created_at": "2026-08-06T22:00:00.114Z"
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    "name": "Simantic",
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    "website": "https://simantic.com",
    "all_locations": "Waterloo, ON, Canada",
    "long_description": "Simantic is modernizing the embedded firmware industry with hardware simulation developed for the adoption of AI in hardware engineering. Simantic gives both humans and AI the visibility into hardware previously limited by the physical world.",
    "one_liner": "Firmware simulation for AI agents",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1782327485,
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        "user_id": 3082935,
        "full_name": "Seungmin Hong",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Simantic (YC F26). Previously firmware engineer at Tesla, Simbe Robotics, and Rapyuta Robotics. ML at Ericsson. BASc Computer Engineering from University of Waterloo.",
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        "full_name": "Ahnaf Shahriar",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Simantic (YC F26). Previously Embedded Software Engineer at Neuralink (Implant/Charger) and AI Hardware Engineer at Tesla (Dojo/Autopilot). Computer Engineer from the University of Waterloo.",
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        "title": "Lead Simulation Researcher (Electronics / Firmware)",
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        "location": "Waterloo, Ontario, CA / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$200K - $300K",
        "equity_range": "2.00% - 5.00%",
        "experience": "6+ years",
        "visa": "Will sponsor",
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        "title": "Simantic scales from Waterloo startup to global AI hardware innovator | Waterloo News | University of Waterloo",
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        "date": "Jul 31, 2026"
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    "name": "Conifer",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "There are thousands of models, providers, and harnesses, each with its own pricing and strengths, leaving an overwhelming number of choices when it comes to managing token spend and intelligence. Conifer uses intelligent routing and orchestration logic to handle the full path of each query: model selection, provider choice, and cache management. It all runs inside your existing harness, so tools like Claude Code and Codex work without changing your setup. By centralizing where inference occurs, Conifer lets companies save on their inference bill while leaving teams free to focus on what they are building.",
    "one_liner": "Least cost routing system to reduce 70%+ token spend",
    "team_size": 4,
    "industry": "B2B",
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        "full_name": "Charles Muehlberger",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Conifer. Engineering researcher at Princeton, accelerating multi-modal inference on edge devices and designing physics simulation software for coupled laser reservoirs and machine learning with physical neural networks. Previously built custom edge AI devices for RF-based brain injury modeling at DoW, and helped engineer the world record holding fastest electric speedboat at PES.",
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        "full_name": "Michael Jeffords",
        "title": "Founder/CGO",
        "founder_bio": "Co-founder at Conifer (YC S26). Previously co-founded The HeartCheck Foundation, scaling free hypertension screenings to 20+ barbershops and over 10,000 individuals. Engineered an ML-driven computer vision pipeline using pose estimation for early-onset ALS and Parkinson's detection. Former clinical researcher at the Dell Med Institute of Vascular Surgery and UTHSC, specializing in hematopoetic stem cell transplantation, achieving infiltration levels >90% in mouse models. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-bryan-jeffords/",
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        "id": 105897,
        "title": "Conifer: Local-first least cost routing system",
        "tagline": "Stop paying cloud prices for every token. We route 80% of requests to your hardware at no cost",
        "body": "Hi all 👋, We’re Michael and Charles, founders of Conifer.\n\n**TLDR:** Conifer is one interface for both local and cloud models, available today as **Juniper**, our consumer-facing app. It routes each request to the most cost-effective option, beginning with your own hardware. Most requests are processed locally without API fees, reducing paid token volume by up to 80%.\n\n**📺 Launch Video:**[ https://www.youtube.com/watch?v=QLVNISmtet0](https://www.youtube.com/watch?v=QLVNISmtet0)\n\n**❓ The problem**: Model labs direct every request to the cloud, with no incentive to route your queries to a cheaper competitor or a free, on-device model. That may benefit them, but it’s unnecessarily costly for you. Whether it’s a simple typo fix or a complex architecture problem, the request is sent to a data center, exposing your data to third parties and increasing your monthly spend. This quickly adds up for teams running coding agents, customer support, and other high-volume workloads. When handling financials, patient records, or customer data, teams must also trust that a cloud provider’s security is as robust as promised.\n\n![uploaded image](/media/?type=post&id=105897&key=user_uploads/3664042/6dbc9654-b4df-453d-a02e-3ea71302316d)\n\n**🔨 What Conifer does:** Conifer routes every request from the bottom up:\n\nTier 0: Your own hardware, with $0 in API fees\n\nTier 1: An efficient cloud model\n\nTier 2: A frontier model for the most demanding queries\n\nThe majority of requests are processed locally, ensuring that cloud pricing applies only when actually necessary, drastically reducing paid token volume. Additionally, Conifer consolidates disparate subscriptions, dashboards, and API keys within a single unified interface.\n\nFor sensitive workloads 🕵️, **local-only mode** disables cloud routing entirely, so all conversations and data remain completely on-device.\n\n🏃‍♂️ **Ensuring the local tier is fast enough:** This routing only works if the local tier is reliable, so we built Conifer's inference engine from the ground up in Rust. On Apple Silicon, decode speeds reach up to 60% faster than llama.cpp.\n\n![uploaded image](/media/?type=post&id=105897&key=user_uploads/3664042/79b464dc-667b-48af-a1ba-5cdd089b1dc8)\n\nOn-device operation with Conifer is now the default starting point for inference, rather than a feature limited to hobbyist use.\n\n**Asks:**\n\n1. Try Juniper with a one-click download @[ conifer.build](http://conifer.build), or reach out to us at [contact@conifer.build](mailto:contact@conifer.build) to have a model running in under two minutes.\n2. Introduce us to teams with high monthly token spend. If teams are incurring significant API costs and want to optimize unit economics without rebuilding their stack, we would like to connect.",
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        "votes": 10,
        "created_at": "2026-07-15T22:29:01.603Z"
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    "id": 33969,
    "name": "OpenTag",
    "slug": "opentag",
    "former_names": [
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "OpenTag is an AI coworker in your Slack with full context on your company. It answers questions and takes real work off your plate. It also keeps your wiki up to date automatically, so knowledge never goes stale.",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1787093671,
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    "country": "US",
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        "full_name": "Tony Kam",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at OpenTag. Previously at Tesla and founded Lilac Labs (S24). Studied EECS at Berkeley.",
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        "linkedin_url": "https://linkedin.com/in/tonyshekkam",
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        "full_name": "Wilson Nguyen",
        "title": "Founder",
        "founder_bio": "Co-founder at OpenTag. Previously founding engineer at Lilac Labs (YC S24). Studied Computer Science at UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nguyenwilson/",
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        "full_name": "Shelden Shi",
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        "id": 111999,
        "title": "OpenTag - Model Agnostic Claude Tag",
        "tagline": "AI Super Coworker in Slack.",
        "body": "Hey everyone. You’ve might of heard of Open AI, Open Router, OpenCode, OpenWork….\n\nIntroducing [OpenTag](https://www.tryopentag.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page) - the model agnostic Claude Tag.\n\nWe started early access a 2 weeks ago and are live with 10 teams.\n\nIf you've seen Claude Tag, you know the interface: tag an AI in Slack, hand it a task, get the result in the thread. We think that's the right interface. We built OpenTag because we think the multiplayer harness should be model agnostic. When a better model ships, your coworker gets better the same day, benefiting from the performance and cost improvements.\n\nOpenTag is an AI coworker that lives inside of Slack. You invite it into the channels you want. It picks up how the company runs, how decisions are made, who owns what. It helps the team coordinate and builds automations for workflows that it sees as repetitive. It asks for tools and visibility the way an A-player hire does, and it tries to grow its own scope and agency. It starts as an intern and tries to earn the COO job. As it works, it writes a company wiki of how you actually run. That wiki compounds as a company brain, so OpenTag only gets sharper with time. Throw it anything. It does its best, and it asks for help when it’s blocked. The result lands in the thread, with sources, where the whole team can see it.\n\n**Four parts, one coworker:**\n\n1. **Ambient and proactive agents -** properly sandboxed with its own computer and browser, so you can trust them with actual tasks instead of babysitting chat windows.\n2. **A wiki that maintains itself —** no more stale handbooks. OpenTag writes down how the company actually runs and keeps it current. Teammates can read it. Agents can read it.\n3. **Automations that suggest themselves -** OpenTag watches how your team works and surfaces the repetitive stuff worth automating, so you're not designing workflows from a blank page.\n4. **Built for multiplayer** - OpenTag is designed with proper permissioning that matches how your team operates.\n\n**2 minutes to start.** Add OpenTag to Slack, invite it to the channels where work happens, give it a job. It’ll ask for the tools it needs (whatever the job touches). It only reads the channels you invited it to.\n\n**Built by software engineers who’ve shipped products used by millions.**\n\nThe three of us worked together at Lilac Labs (YC S24) and all went to Berkeley. Tony (CEO) was software at Tesla and Intel. Shelden (CTO) was at Flatiron Health, Roche, and Certik (cyber security). Wilson (Chief Engineer) was at Hewlett Packard Enterprise and Vestible, a regulated securities platform.\n\nOpenTag is the coworker we wanted at our last company, when we were the ones running every job.\n\n**Try OpenTag today**\n\nTry it at [www.tryopentag.com](http://www.tryopentag.com)\n\nTake 30 minutes with me: [book a demo.](https://cal.com/tony-kam-ympx2p/intro?overlayCalendar=true)\n\nWould love to hear your thoughts and feedback. You can email me at [tony@tryopentag.com](mailto:tony@tryopentag.com)\n\n![uploaded image](/media/?type=post&id=111999&key=user_uploads/802295/8d1c1925-f213-405e-bfd4-f9b9effd0095)\n\n",
        "url": "https://www.ycombinator.com/launches/T8R-opentag-model-agnostic-claude-tag",
        "votes": 6,
        "created_at": "2026-08-25T22:00:00.175Z"
      },
      {
        "id": 111423,
        "title": "Gini: AI coworker that lives in Slack",
        "tagline": "Does the work in your channels and turns what it learns into a company brain.",
        "body": "Hi everyone, [Shelden](https://www.linkedin.com/in/sheldenshi), [Wilson](https://www.linkedin.com/in/nguyenwilson), and I ([Tony](https://www.linkedin.com/in/tonyshekkam/)) are cofounders of [Gini](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page).\n\n[Gini](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page) is a model agnostic proactive AI coworker that lives inside of Slack. You invite it into the channels you want. It picks up how the company runs, how decisions are made, who owns what. It helps the team coordinate and builds automations for workflows that it sees as repetitive. It asks for tools and visibility the way an A-player hire does, and it tries to grow its own scope and agency. It starts as an intern and tries to earn the COO job. As it works, it writes a company wiki of how you actually run. That wiki compounds as a company brain, so Gini only gets sharper with time. Throw it anything. It does its best, and it asks for help when it’s blocked. The result lands in the thread, with sources, where the whole team can see it.\n\n<https://www.youtube.com/watch?v=cJWkGjrSZQ8>\n\n**Four parts, one coworker:**\n\n1. **Ambient and proactive agents -** properly sandboxed with its own computer and browser, so you can trust them with actual tasks instead of babysitting chat windows.\n2. **A wiki that maintains itself —** no more stale handbooks. Gini writes down how the company actually runs and keeps it current. Teammates can read it. Agents can read it.\n3. **Automations that suggest themselves -** Gini watches how your team works and surfaces the repetitive stuff worth automating, so you're not designing workflows from a blank page.\n4. **Built for multiplayer** - Gini is designed with proper permissioning that matches how your team operates.\n\n**2 minutes to start.** Add Gini to Slack, invite it to the channels where work happens, give it a job. It’ll ask for the tools it needs (whatever the job touches). It only reads the channels you invited it to.\n\n**Built by software engineers who’ve shipped products used by millions.**\n\nThe three of us worked together at Lilac Labs (YC S24) and all went to Berkeley. Tony (CEO) was software at Tesla and Intel. Shelden (CTO) was at Flatiron Health, Roche, and Certik (cyber security). Wilson (Chief Engineer) was at Hewlett Packard Enterprise and Vestible, a regulated securities platform.\n\nGini is the coworker we wanted at our last company, when we were the ones running every job.\n\n**Try Gini today**\n\nTry it at [ginicomputer.com](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=try-cta).\n\nTake 30 minutes with me: [book a demo.](https://cal.com/tony-kam-ympx2p/intro?overlayCalendar=true)\n\nWould love to hear your thoughts and feedback. You can email me at [tony@ginicomputer.com](mailto:tony@ginicomputer.com)\n\n![uploaded image](/media/?type=post&id=111423&key=user_uploads/802295/f974cf1c-1978-4418-a1e6-5fdc6de258f8)\n\n",
        "url": "https://www.ycombinator.com/launches/Sz9-gini-ai-coworker-that-lives-in-slack",
        "votes": 101,
        "created_at": "2026-08-20T13:00:00.616Z"
      }
    ]
  },
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    "id": 34134,
    "name": "Voyager",
    "slug": "voyager",
    "former_names": [
      "moda.app",
      "Moda"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c6a49b867492868c7c12a9622e59839c26e0b5a.png",
    "website": "https://voyager.so",
    "all_locations": "New York City, NY, USA",
    "long_description": "Most AI tools are built for coding. Voyager is designed to get the best creative results from models like Opus, Astra and DeepSeek.\r\n\r\nIt comes bundled with free motion graphics, music and video editing tools - or, it can drive Blender, DaVinci Resolve, After Effects, Ableton and 100+ others.\r\n\r\nFrom the team behind Moda (moda.app, 100k+ users).",
    "one_liner": "Open harness for video and other creative work.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1790709958,
    "tags": [
      "Design",
      "Video",
      "Marketing"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/voyager",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/voyager.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/voyagerso",
    "x_url": "https://x.com/startvoyager",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c6a49b867492868c7c12a9622e59839c26e0b5a.png",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 421690,
        "full_name": "John Holliman",
        "title": "Founder",
        "founder_bio": "CTO/founder at Moda, Previously founding engineer and CTO of Dover, MIT meng & sb",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jhhiii/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8428c9ff8861d39dd171ce2f674b1f5ab9aaff8.jpg"
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    "jobs": [
      {
        "id": 111654,
        "title": "Filmmaker",
        "url": "https://www.ycombinator.com/companies/voyager/jobs/q3DywDM-filmmaker",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 117923,
        "title": "Voyager: AI harness for video and creative work",
        "tagline": "Voyager runs on your computer and lets you use models like Astra, Opus, and DeepSeek to steer 100+ AI image/video models and creative tools.",
        "body": "Voyager is an open harness for video, music, games, and graphics.\n\nIt’s like Codex, but for creative work.\n\nVoyager runs on your computer and lets you use models like Astra, Opus, and DeepSeek to steer 100+ AI image/video models and creative tools like Blender, DaVinci Resolve, Ableton, and Unity.\n\nWe’re the team behind [Moda](https://moda.app), a design tool loved by 100k+ people.\n\nWe’ve had a front-row seat as models have gotten extremely capable - and can handle complex work across storyboarding, video gen, sound design, editing, and finding archival footage. Voyager enables people to do this all from one place: no juggling API keys, providers, and apps.\n\n<https://youtu.be/YJcy9zRJBRk?si=1wrVWXM6AIKfS6hQ>\n\n# How it works\n\n1\\. Download Voyager at [voyager.so](http://voyager.so) and connect the tools, models, and subscriptions you already use.\n\n2\\. Describe what you want to do - edit existing footage, ideate on commercials for your product, make a launch video…\n\n3\\. Voyager works with you just like Codex. It comes with built-in apps for motion graphics, music, and editing - or it can use tools like Blender, DaVinci Resolve, After Effects, etc on your computer\n\n# Team\n\nWe're second-time founders, and previously worked on Dover YC S19 and Heap W13. \n\nOur team of 6 is obsessed with building tools for the next generation of creative work.\n\n![uploaded image](/media/?type=post&id=117923&key=user_uploads/128290/622d1c8f-4e9c-4b7b-802e-4a4d92334e1e)\n\n",
        "url": "https://www.ycombinator.com/launches/Ufz-voyager-ai-harness-for-video-and-creative-work",
        "votes": 5,
        "created_at": "2026-10-08T18:04:25.814Z"
      }
    ]
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    "id": 34431,
    "name": "Hue",
    "slug": "hue",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c5e6f96d14890d7f03f32c22ceed76e4fc923f2.png",
    "website": "https://hue.run/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hue turns production usage of agents into repeatable tests that preserve the tools, data, and state behind the real run. As AI agents take on real work, their behavior depends increasingly on the nuances of the world around them. With Hue, teams can test and improve their agents under conditions that mimic real usage.",
    "one_liner": "Test agents in realistic worlds built from production usage",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1790353230,
    "tags": [
      "Developer Tools",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/hue",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hue.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hue-intelligence",
    "x_url": "",
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c5e6f96d14890d7f03f32c22ceed76e4fc923f2.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 3905409,
        "full_name": "Aneesh Kethini",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Hue; Second AI PM at Datadog, built and launched Datadog's AI SRE; Prev Quantitative Trader at SIG.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aneeshkethini/",
        "x_url": "https://x.com/aneeshkethini",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96b37194848c8e110be870d79303e5fd2db1c5af.jpg"
      },
      {
        "user_id": 1000179,
        "full_name": "Josh Le",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at Hue; Prev engineering at Apple, Gusto (W12), August, Wayfair, SendBlue (S23), Sixtyfour (X25); KP fellow",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshua-d-le",
        "x_url": "https://x.com/joshuadle",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8ce0a5fd1991d93d61addff18156dbb146d3b3d.jpg"
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    ],
    "jobs": [],
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  },
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    "id": 34464,
    "name": "herdr",
    "slug": "herdr",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f63118d9ed1edf6a055497860b53107c37b334.png",
    "website": "https://herdr.dev/",
    "all_locations": "Ankara, Ankara, Turkey",
    "long_description": "Developers don't run one coding agent anymore. They run fleets of them — for hours, sometimes days — across laptops, servers, and sandboxes. Keeping track of that work is the new bottleneck: which agent is blocked, which one finished, which terminal is it in, and why did everything die when the laptop closed.\r\n\r\nHerdr is the open-source home for that work. A background server owns the agents' terminal sessions on each machine, so the work survives disconnects, closed lids, and dropped SSH. Herdr detects each agent and turns the chaos into an attention queue — working, blocked, done, across every project — so you look only when an agent needs you. Every client is just a view: the bundled terminal UI, SSH from another machine, your phone. Close one, open another; the work never stops.\r\n\r\nSoftware can drive it too: a CLI, a socket API, and a plugin marketplace that passed 500 community plugins in its first month. The runtime is Apache-2.0 and stays open. Four months after launch: 25k GitHub stars, 340k downloads.",
    "one_liner": "building the open agent runtime",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1786038738,
    "tags": [
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      "AI",
      "AI Assistant"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
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      "Middle East and North Africa"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/herdr",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/herdr.json",
    "year_founded": 2026,
    "city": "Ankara",
    "country": "TR",
    "linkedin_url": "https://www.linkedin.com/company/herdrdev",
    "x_url": "https://x.com/herdrdev",
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    "github_url": "https://github.com/herdrdev",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f63118d9ed1edf6a055497860b53107c37b334.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 926257,
        "full_name": "Can Celik",
        "title": "Founder/CEO",
        "founder_bio": "Founder of herdr, the open runtime for coding agents. Previously built AI-assisted ultrasound technology and led AI teams in fintech. Now I live in the terminal and build tools for people who do too.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ogulcancelik/",
        "x_url": "https://x.com/cancelik",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7131c637a3491db1d0febb680d1e4d2ba3bdd743.jpg"
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    "id": 34530,
    "name": "Theo",
    "slug": "theo",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/df947f888c98a4ba3a32f2fa4873fc57321747c2.png",
    "website": "https://theo.site/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Theo is an AI agent that builds your small business website in minutes, then works on it every week so customers find you, whether they search Google themselves or ask an AI. Theo studies your site, your market and your search data, picks what will win the next customer, and ships it: a page for what people are searching for, a post that answers their question, or the fix that was holding you back.",
    "one_liner": "The site-builder and engine that gets your business found. ",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1792356521,
    "tags": [
      "SMB",
      "SEO",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
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      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/theo",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/theo.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/theosite",
    "x_url": "https://x.com/theo_site",
    "fb_url": "https://www.facebook.com/profile.php?id=61590488015740",
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/df947f888c98a4ba3a32f2fa4873fc57321747c2.png",
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    "primary_partner": {
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      "url": null
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    "founders": [
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        "user_id": 4013716,
        "full_name": "Miles Pines",
        "title": "Founder/CEO",
        "founder_bio": "Solo founder, Harvard CS. Previously co-founded Endgrate and bootstrapped it to $100k+ a year in revenue and worked on low-latency software at Citadel Securities.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/milespines/",
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    "launches": [
      {
        "id": 123200,
        "title": "Theo - The site-builder and engine that gets your business found",
        "tagline": "Search is changing. The days of getting 30 pages of Google results (that you never scroll through anyway) are over. Today, AI agents give customers three choices. Max. Theo helps make sure your business is one of them.",
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    "industry": "B2B",
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    "name": "Munito AI",
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    "long_description": "Munito is an open-model inference provider for Europe, private by default. Its API lets users choose their models and keep inference and storage in the EU. \r\nFounded by the former inference lead at Mistral AI, Munito is built on one belief: open and independent intelligence, both models and inference, is key to economic growth and prosperity.",
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        "full_name": "Alexey Eryshev",
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        "full_name": "Aryan Singhal",
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        "full_name": "Shalin Patel",
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    "long_description": "Restaurants send orders to food distributors by email, text, and photo. Someone at the distributor retypes every one of them into the ERP. Asakana does that entry instead: orders land in the ERP already entered, and anything unclear goes to a person before it goes in. Live at US seafood distributors today, returning 40%+ of order-desk time to selling. Founded by a seafood distributor and a Gemini builder.",
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        "title": "Asakana: Automating sales and the entire back office for food distributors",
        "tagline": "Asakana translates texts, calls and handwritten notes from restaurants directly into existing ERPs, including orders, credit memos, returns. Restaurants and distributors change nothing. ",
        "body": "**TL;DR:** Food distributors still receive orders from old-school restaurants via text, phone and handwritten notes, and a rep manually retypes every one into a legacy ERP. Asakana reads those messages and does the entry automatically. Restaurants and reps keep working the way they do today. In production at a US food distributor.\n\n<https://youtu.be/XONUcUsuxSY>\n\n**The problem**\n\nA food distributor runs on messages. Restaurants order by text, phone, WhatsApp, a photo of a handwritten note, often not in English. They report an incorrect, short, or damaged delivery the same way. A rep or an admin staff member reads every one of those messages and enters it by hand into an ERP or spreadsheet: the order, the return, the credit memo.\n\nOne of our customers receives about 60 orders a day this way, some over 75 lines. A sales rep reads each one, works out which of 10 salmon items \"salmon\" means, and types it into the ERP line by line. Then the credit requests from yesterday's deliveries, each one a return and a credit note typed in by hand. Reps there spend about 30% of their day on this.\n\nApps and portals tried to replace this manual work, but old school restaurants and distributor’s sales reps never learned them, so the retyping remained. The US has more than 27,000 food distributors and their 100,000 sales reps and back-office staff suffer from painful manual work like this.\n\n![uploaded image](/media/?type=post&id=122477&key=user_uploads/2103989/75737558-db33-4f61-b265-2230e25c9ef6)\n\n**What Asakana does**\n\nAsakana does the manual work so reps can focus on selling. Restaurants and reps keep working the way they do today. Three steps, the same for every workflow:\n\n* Read messy information: spreadsheets, PDFs, handwritten notes, and messages, down to the photo of the handwritten invoice a driver brings back from a delivery.\n* Understand your business: customer habits, product shorthand, and unwritten rules. \"Same as last Friday\" is order SO-78211. \"AC\" means albacore tuna. Salmon is always skin-on.\n* Connect to your systems: work directly with your existing ERP and tools.\n\nAnything unclear goes to a person before it goes in. The rep gets one email notification per task: what was entered and anything to keep an eye on.\n\nWorkflows we automate this way:\n\n* Order entry\n* Credit memos and returns\n* Upsell suggestions\n* Cutoff reminders\n* Past-due collections\n* PO creation\n* New customer discovery\n\nChinese, Korean, Spanish, Japanese: read the way they were written, with the shorthand and nuance of each language, and matched to the item in the English catalog.\n\nAnything that moves by hand from a message into a system or a spreadsheet, we automate.\n\n**The team**\n\nWe're Yudai and Ben. Yudai was a fisherman and a seafood distributor (Mitsubishi Corporation), where he did this manual work himself, then at McKinsey transformed companies that still ran on it. Ben spent 8 years at Google as a senior AI research engineer on Project Mariner and Gemini.\n\n![uploaded image](/media/?type=post&id=122477&key=user_uploads/2103989/00516563-7bf8-455c-8256-40d8ce2b5667)\n\n**Our ask**\n\nIf you work at or know a food distributor please reach out.\n\nWebsite: [asakana.co](https://www.asakana.co/?utm_source=launch_yc&utm_medium=referral&utm_campaign=yc_launch_202610)\n\nEmail: [yudai_matsuoka@asakana.co](mailto:yudai_matsuoka@asakana.co)\n\nBook a call: <https://calendly.com/yudai_matsuoka-asakana/30min>\n\nYudai and Ben",
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        "tagline": "Bryel helps your company to build an in-house AI lab, then gives you the software to train and continually improve your own models.",
        "body": "Hey YC, **we’re on a mission to build a billion models, trained by you.** We’re [Kevin](https://www.linkedin.com/in/miaok/) and [Frankie](https://www.linkedin.com/in/lifrankie/), co-founders of Bryel.\n\n## TL;DR\n\n**We’re your cracked AI training team, on demand.** We partner with your company, build your in-house model training capabilities, and leave behind Bryel Foundry, our software that makes model development and continual improvement 10x simpler. Think of it as your in-house AI lab. We’ve trained models for Apple, Framer, and F500s.\n\n**Ask:** Considering training your AI model? Email [frankie@bryel.ai](mailto:frankie@bryel.ai)\\\n\\\n<https://www.youtube.com/watch?v=LsVUbDIG2RY>\n\n## Problem\n\n**When you train a model for everyone, you train it for no one.** \n\nFrontier models are incredibly capable generalists, but they fall short on the specifics. So teams build harnesses to work around the edges and cover the gaps: more prompting, more harness infra, more retries, and stricter evals.\n\nEventually, quality plateaus. We’ve met many teams that are buried in harness work, layering on more and more infrastructure and patches to keep things working. That’s where model training is worth a serious look. With recent advancements in the open-source ecosystem and post-training methods, a few thousand good examples can produce a model that beats frontier APIs on your task, and it’s cheaper to run and deployable on-prem.\n\nThe challenge has always been that training is slow, expensive, experimental, and requires specialized knowledge. That’s where we help.\n\n## Solution\n\nWe forward deploy into your company, to help you set up your AI model training capabilities end-to-end, and hand off software to help you maintain and continually improve your AI models. Our product, the Bryel Foundry, has been built from everything we learned doing this by hand, many times over.\n\nModels we commonly help train:\n\n* **OCR/Classification Models** that run 20x faster.\n* **Search &amp; Embedding models** that cost 5x less. \n* **Long horizon agent models** that match frontier performance at 5-8x lower cost\n\n**One more thing,** we have a second ask. If you know companies that have a lot of proprietary data and no ML team (think insurers, logistics, healthcare, legal)? We'd love a 20-minute intro. We're not looking to sell, just to learn. Happy to return the favor.\n\n![uploaded image](/media/?type=post&id=119338&key=user_uploads/308334/6ae442d6-a2d9-4c5b-ba4e-3772f96daa55)\n\n",
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        "title": "Two IIT Delhi Grads Built & Sold an AI Startup in 4 Months. Now They Are Building for C++",
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        "full_name": "Chandrika Maheshwari",
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        "full_name": "Tanay Agrawal",
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      {
        "id": 120590,
        "title": "Quivly: AI agents that run everything after the sale, from onboarding to renewal",
        "tagline": "Get your customers live in 7 days instead of 30, then expand them by 4.3x",
        "body": "Hi YC, we're [Chandrika](https://www.linkedin.com/in/chandrikamaheshwari/) and [Tanay](https://www.linkedin.com/in/tanayagrawal19/), co-founders of Quivly.\n\n**TL;DR: Quivly is the AI workforce for everything after the sale, especially for companies with usage-based pricing.** Our agents turn kickoff calls into launch plans, chase blockers, catch risk and expansion signals, and have the full account story ready at renewal. \n\nWith Quivly, companies are able to take their customers live in 7 days instead of 30, and then grow revenue from these customers by 4.3x on avg.\n\n<https://youtu.be/a2LO6GwNYyQ>\n\nEveryone rings the gong when the deal closes. But that's when the real work starts. The work after the sale is scattered across Slack threads, spreadsheets, calls, tickets, and someone's memory. Quivly brings it together and turns it into outcomes.\n\n**One account, one year with Quivly**\n\nAs one customer put it: “Traditional customer success tools were all built for seat-based SaaS. Quivly is the first post-sales platform we found that’s actually designed for consumption pricing.”\n\n**Day 1: Onboarding**. The kickoff call ends and Quivly has already turned it into a plan, shared with the customer in their own portal. If something blocks launch, like an SSO config, the agent follows up with the right person. With Quivly, our customers have reduced their time to value by 77%, going from live in 30 days to live in 7.\n\n**Month 4: Risk**. Usage starts to slip, and a support ticket is sitting in another tool. Quivly connects the dots before your CSM has to, and the walkthrough is already booked.\n\n**Month 9: Expansion**. The customer acquires another company. Quivly catches the news, ties it to the account, and flags the expansion opportunity to your account manager.\n\n**Month 12: Renewal**. No piecing together the story. What shipped, what changed, where Quivly stepped in, and where the customer can grow next is all in one place.\n\nUse Quivly in the app, in Slack, or through our MCP.\n\nMCP:\n\n![uploaded image](/media/?type=post&id=120590&key=user_uploads/1833192/8f70eefa-486a-4a91-b0fe-1d648a270a9c)\n\nSlack:\n\n![uploaded image](/media/?type=post&id=120590&key=user_uploads/1833192/53a10622-290a-471f-af35-c43d0087abb8)\n\n**Traction**\n\n\\- Our customers include companies like Siftly (W22), Octolane (W24), Hyperspell (F25); We manage over 10,000 accounts our customers \n\n\\- 77% faster time to value (30 → 7 days)\n\n\\- 4.3x average revenue expansion with Quivly\n\n\\- 8 hours saved per FDE per week \n\n**Team**\n\n**Chandrika Maheshwari (CEO)**: 2x founder (previously founded Pull, payroll-linked lending). \\~15 years at Plaid, Docusign, Google, and Bain, where she built internal tools to fix fragmented customer data. MIT grad.\n\n**Tanay Agrawal (CTO):** Founding PM at Atlan, scaling it 0 to $2M ARR and 200 enterprise customers in 50 countries. Solo-built an app to 200K downloads in 6 weeks. Led pricing and billing infra at JPMorgan Payments ($2B annual volume). CMU grad.\n\n![uploaded image](/media/?type=post&id=120590&key=user_uploads/1833192/156a8e33-4d11-41f0-9b22-b260975234b3)\n\n**Our ask:**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n\\- Are you a B2B founder with enough customers that you’re starting to lose track of them?\n\n\\- Are you an FDE, CSM or Account Manager at a B2B SaaS or AI company?\n\n\\- Do you know Heads of FDE or CS at B2B SaaS or AI companies?\n\nPlease book time with us. We’ll map your first year after the sale: [cal.com/chandrika/30min](http://cal.com/chandrika/30min)\n\nor reach us at [chandrika@quivly.ai](mailto:chandrika@quivly.ai)\n\nYour help can make a huge difference. Thank you!",
        "url": "https://www.ycombinator.com/launches/VN0-quivly-ai-agents-that-run-everything-after-the-sale-from-onboarding-to-renewal",
        "votes": 48,
        "created_at": "2026-10-08T19:34:00.127Z"
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    "id": 35422,
    "name": "Praxis",
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        "body": "Hi, we’re [Maxence](https://www.linkedin.com/in/mguegnol/) and [Diana](https://www.linkedin.com/in/diana-khramina/), co-founders of [Praxis](https://runpraxis.ai/).\n\n**TL;DR: At Praxis, we’ve built agents that run law firm admin tasks end to end. Agents do the work, and the lawyer supervises and approves every step. Firms reply in minutes, onboard clients in days instead of weeks, and spend their time practicing law.**\\\n\\\n[https://drive.google.com/file/d/1lxtcy55l5t2dvd82J1_px194DW-Y6RXl/view](https://drive.google.com/file/d/1lxtcy55l5t2dvd82J1_px194DW-Y6RXl/view?usp=drive_link)\n\n\\\n**Why we built Praxis**\n\nLaw firms spend 62% of their time on admin tasks they don’t bill. Client data lives in tools that don’t talk to each other, and legal assistants copy data from one system to another and chase documents by email for weeks. To keep up, law firms hire more assistants.\n\nThis is how costs grow with every new client, and the firm still moves slowly. Replies slow down, follow-ups slip, and clients go to the law firm that serves them first. One firm told us it loses at least $350k a year in clients this way.\n\n**Product**\n\nAt [Praxis](https://runpraxis.ai/), we’ve built AI agents that run law firm operations, from first inquiry to paid invoice. Agents do the admin end to end, and the lawyer supervises and approves every step.\\\n\\\nHere’s how it works:\n\n* **Win:** every inquiry answered in minutes, qualified against your rules and conflict-checked, with the engagement letter drafted for your approval.\n* **Onboard:** client data and documents collected and verified at upload. Missing or outdated ones are chased automatically, so work starts in days, not weeks.\n* **Run:** tasks tracked, clients and counterparties chased for the next step, and the client follows progress live in their portal.\n* **Get paid:** invoices are sent, tracked and chased until paid.\n\nFirms reply faster, stop paying people to copy-paste, and spend their time practicing law.\\\n\\\n➡️ **Sign up to get early access to Praxis today at [runpraxis.ai/waitlist](https://runpraxis.ai/waitlist).**\n\n\\\n**Market &amp; timing**\n\nLegal is a \\~$1T services market that's still only 4% software. Every knowledge industry we've digitized flipped that ratio. Legal hasn't yet.\n\nThe first AI wave (Harvey, Legora) created huge market excitement around AI for law firms, but they went after the legal work at large firms: contract review and drafting. Client operations at small and mid-sized firms remain underserved and incumbents like Clio or 8am struggle to become fully AI-native.\n\n**About Us**\n\nWe’re a team of builders who’ve scaled fast-growing startups and worked hands-on with law firms. We believe lawyers shouldn’t be buried in low-value work. They should make the judgment calls, while clients feel every bit of the speed. 💨\n\n**— [Diana](https://www.linkedin.com/in/diana-khramina/), CEO.** Scaled Gorgias's AI Agent from 0 to 1,000+ paying customers in under a year, and worked with law firms at McKinsey.\n\n**— [Maxence](https://www.linkedin.com/in/mguegnol/), CTO.** AI &amp; Data Engineer at Uber and BlaBlaCar, companies serving 100+ million people and he comes from a family of lawyers.\n\n![uploaded image](/media/?type=post&id=122246&key=user_uploads/1081032/d806f71c-3888-429e-b484-22c466c8448b)\n\n",
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        "full_name": "Anmol Jawandha",
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        "full_name": "Koosha Rezaiezadeh",
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        "title": "Resin - Codex for electronics",
        "tagline": "AI-native ECAD that allows engineers to design PCB chips faster and more reliably",
        "body": "Hey YC! We’re Koosha and Anmol, the founders of Resin. We’re building an AI-native PCB design tool that helps engineers turn ideas into working electronics faster and more reliably.\n\n**Demo: [https://www.youtube.com/watch?v=JByTuaHHHGg](https://www.youtube.com/watch?v=JByTuaHHHGg)**\n\nMandatory GIF:\n\n![uploaded image](/media/?type=post&id=120163&key=user_uploads/501763/ddae1ba4-75e5-43a7-9a30-fe4fa392848f)\n\n**Problem we’re solving**\n\n* **PCB design is slow and manual:** Engineers can spend weeks reading datasheets, finding components, drawing schematics, and routing connections on traditional design tools. \n* **Design mistakes are expensive:** A design error that only gets surfaced _after_ fabrication can require redesigning and manufacturing the board again, adding weeks/months of delay and cost.\n* **Requires expertise:** Good board design takes years of experience to master, so many smaller companies can't do it in-house. Resin makes it accessible to experts and non-experts (including hobbyists) alike.\n\n**How Resin solves this problem**\n\nResin brings AI into a complete ECAD workspace to increase engineering velocity &amp; design reliability:\n\n* **Draft and review schematics:** Describe your requirements. Resin researches parts, drafts schematics, and documents its design decisions. It also reviews existing designs to help catch mistakes before manufacturing.\n* **Find or generate any part:** Tell Resin which component you need. It searches millions of parts, analyzes them deeply and generates accurate symbols and footprints.\n* **Route boards:** Connect selected signals or your whole board with our proprietary routing engine. We’re especially excited about this one!\n* **In the cloud and collaborative:** Resin runs fully in the cloud, and allows seamless collaboration across multiple users!\n* **Prepare for manufacturing:** Check component pricing and availability, manage your bill of materials, and export manufacturing files.\n* **Stay in control:** Resin is a complete EDA workspace with full schematic, PCB tooling (**and not a mere chatbot!**). Users can delegate entire workflows to AI or get hands-on with individual components, connections, and traces. Every AI change is editable and auditable.\n* **Bring existing work into Resin:** We have full support for project &amp; library imports from Altium &amp; KiCad so you can continue existing projects in Resin! There are more integrations on the way!\n* **MCP compatible:** Work from Claude Code, Codex, etc.\n\n**Team**\n\nWe’ve been long time friends — we met in college where we studied Engineering Physics together! Koosha has tons of electronics and hardware experience, having designed very complex hardware at Bosch, Kodak, IHS. Anmol mostly recently led the FDE team at [you.com](http://you.com) and was an early member at various successful AI startups.\n\n**Our Asks**\n\n**Are you or your team building hardware with PCBs? Sign up with this link to get started with some bonus credits [https://resineda.com/signup?promo=YC2026](https://resineda.com/signup?promo=YC2026)!** We’ll reach out for an onboarding!\n\n**Know someone who designs electronics? We’d love intros** to other founders, electrical engineers, hardware leads whether they’re building robots, drones, medical devices, industrial equipment, or consumer products. \n\n**Contact**: Email [anmol@resineda.com](mailto:anmol@resineda.com), text 415 425 4809, or DM me on bookface!",
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    "all_locations": "San Francisco, CA, USA",
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        "full_name": "Akshay Manglik",
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    "website": "https://native.no/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Native is building an autonomous marketing platform where business can do all of their marketing within one platform using our artificial intuition model called Norn, that predicts what people will respond to, researched and built in house.",
    "one_liner": "Artificial Intuition for marketing",
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    "subindustry": "B2B -> Marketing",
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    "url": "https://www.ycombinator.com/companies/native",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/native.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trynative/",
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        "full_name": "Benjamin Bekken",
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        "full_name": "Håkon Græsberg",
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        "founder_bio": "Founder at Native (YC F26). Previously co-founder & CTO at Wepost, a B2B marketing platform. MS in Computer Science with AI specialization from EURECOM and NTNU, plus MSc in Entrepreneurship. Early experience in AI/ML at DNV and Norconsult, working on computer vision and radar technology applications.",
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        "full_name": "Trond Hauga",
        "title": "Founder/COO",
        "founder_bio": "Cofounder of Native (YC F26). First co-founded and sold out music festival at 17, then founded marketing agency while doing master's degree in Tech Venture from NTNU (Norwegian MIT). Last year at college I cofounded Wepost which we built for 2.5 years, merging that to start Native in January 2026.",
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        "title": "Native: Artificial intuition for marketing",
        "tagline": "Native predicts what you should post, and then runs it across your socials and ads.",
        "body": "Hey everyone! 👋\n\nBen, Håkon and Trond here, founders of Native (YC F26). \n\nToday we're introducing Norn, a model that predicts which marketing ideas are outliers, before the content is made. We call it artificial intuition, and have our first model live in Native helping over 2000 companies run their marketing. By dogfooding we've reached $2M ARR within our first 6 months.\n\n<https://youtu.be/YTpaKxp1NOs>\n\n**The problem**\n\nAI has made it much easier to produce text, images and video. But you still have to decide what’s worth saying, which angle fits your brand and what your audience might care about.\n\nProducing more content doesn’t answer those questions. It just produces more noise.\n\nOur bet: knowing what to say becomes more valuable as creating it gets cheaper.\n\n**How Norn works**\n\nJust type in your website. Native gathers your business and brand context, and Norn ranks ideas using four signals:\n\n* Brand personality: your voice, positioning and style\n* Social performance: what happened after content was published\n* Trends: what people are paying attention to\n* Taste: which ideas you approve, rewrite or reject\n\nNorn’s output is an idea: the point to make, the angle and the format. Native uses frontier models to turn it into images, video, ad creatives and social posts. You review the results, and Native handles scheduling and publishing.\n\nThe original idea, your feedback and the published result become part of the learning loop.\n\n**Already live**\n\nMore than 2,000 businesses use Native, and Norn v1 is already working inside it.\n\nThat gives us something useful to build on: feedback from the whole creative process, from the first suggestion to what happens after publishing.\n\n**Why us**\n\nBen comes from YouTube and agency work, with 15 years in content and marketing. Trond built a marketing agency and founded a music festival. Håkon built machine learning models for visual imagery and brings the AI and engineering background.\n\nBetween us, we’ve spent years creating content and building the software behind it. Native brings those experiences together.\n\n**Next: the Norn API**\n\nWe’re developing an API so other products can ask for ranked ideas before creating content: a marketing tool, an agency workflow or an AI agent deciding what to make next. Like Jev for marketing.\n\nIn the video, we explain the model and where we want to take it.\n\n**Our ask**\n\nIf you’re building a product that creates content, join the Norn API waitlist and tell us what you’d build: <https://native.no/norn>",
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    "long_description": "Latent catches wrong or unsupported LLM answers before they reach your users. Instead of running a second model to check every output, it reads the model's own internal state as it generates, so every request is verified with no added latency, no extra inference cost, and nothing leaving your deployment. Teams running LLMs in production, in finance, legal, healthcare and customer support, get a review queue of the answers most likely to be wrong, calibrated to their own model and traffic, with a plain explanation of why each one was flagged.",
    "one_liner": "Catch wrong LLM answers before your customers do",
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    "industry": "B2B",
    "subindustry": "B2B -> Security",
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    "city": "San Francisco",
    "country": "US",
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    "id": 36510,
    "name": "Preload",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1791309539,
    "tags": [
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    "url": "https://www.ycombinator.com/companies/preload",
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        "body": "Hey everyone! 👋 \\\n\\\nWe're Macy, Faiz and Niyaz - co-founders of[ Papaya](https://papaya.fyi) \n\n**TL;DR**\n\nPapaya is the optimization engine for AI agents. Connect your production agent and Papaya watches every action, finds what's hurting quality, cost, and latency, and gives you the fix. Once a fix is in place, Papaya makes sure your agent doesn't regress. Teams running Papaya are seeing 20%+ improvements to quality, latency, and cost.\n\n**Ask:** If you run an agent in production, connect it to Papaya. [Grab a time to get started here](https://cal.com/macy-mody/macy-papaya).\n\n<https://youtu.be/cG9iIVB5Psk>\n\n**The Problem**\n\nWe’ve been building agentic systems for years (6 years to be exact…before it was cool), including really large ones that helped run major workflows inside Amazon. We know firsthand that the hard part isn’t getting an agent to work, it’s keeping it working at a high quality bar. We consistently saw that every model update and every prompt change shifted behavior in ways nobody caught until something downstream looked wrong. The only way to find out what changed was to pull traces and read them by hand.\n\nMost companies shipping agents today are focused on the next feature for customers and they don't have time to fully maintain what's already been released. When we built our own agent as a three-person team, we hit the same wall. We needed to make sure our agent had high quality answers, was fast for our customers, and as low cost as possible, but we had to look at everything by hand. Every hour we spent examining traces was an hour we couldn’t spend on new product development. That's why we built Papaya.\n\n**How Papaya works 🔧** \n\nAt Papaya, our goal is to do the hard AI engineering work for you, staying up to date on the latest and greatest research so you can take advantage of this knowledge through optimizations. Simply stream your production traces through a lightweight SDK. From there, Papaya:\n\n* **Finds your use cases**: groups every run by the job the agent is doing, so you're looking at \"refund requests,\" not \"run 4812.\"\n* **Runs 200+ analyses**: checks every use case against 200+ research-backed failure patterns across quality, cost, and latency.\n* **Ranks the fixes by impact**: every recommendation comes with an estimated effect on quality, latency, and cost. Approve the ones you want directly in Papaya and Papaya opens the PR.\n* **Watches for regression**: once a fix ships, Papaya keeps checking that the improvement holds.\n\n![uploaded image](/media/?type=post&id=115486&key=user_uploads/2135001/0a49f356-ac11-44d5-bcc1-69caf4ba64d9)\n\n**Our Ask 🙏**\n\n* Run an agent in production? Connect it to Papaya. [Grab a time with us here](https://cal.com/macy-mody/macy-papaya).\n* Know any companies spending tons of time maintaining and fixing their agents? Intro us at [macy@papaya.fyi](mailto:macy@papaya.fyi).\n* Building agents and want a second set of eyes? Ping us. We are happy to help however we can!\n\n**The Team**\n\nWe've spent over 10 years building large scale agentic systems at Amazon, and we've scaled other YC startups from $0 to $10M ARR through acquisition. We started out building an analytics agent. The harness we built to optimize our own agent became the center of every prospect conversation, so we pivoted to it. Meet our team below :) \n\n![uploaded image](/media/?type=post&id=115486&key=user_uploads/2135001/ba5c9344-fb83-47ed-8c8c-deef533840ce)\n\n",
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    "long_description": "ObsessionDB is a real-time data warehouse that makes your data stack agent-ready. Your agents can ingest and query vast amounts of data in seconds, without the scary infra bill. Powered by our own more efficient fork of ClickHouse®.",
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        "full_name": "Anton Hantel",
        "title": "Founder/CEO",
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      {
        "title": "What Employees Tell AI Voice Agents About Workplace AI",
        "url": "https://techyorker.com/employee-ai-use-and-voice-agents-what-a-small-field-study-found/",
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        "url": "https://www.trendingtopics.eu/sona8-y-combinator-ai-interviews/",
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      {
        "id": 120585,
        "title": "Sona8: AI voice agents surveying employees about their work",
        "tagline": "The context layer for AI automation, starting with what employees say",
        "body": "**TL;DR:** [Sona8](https://sona8.com/) is building the context layer for AI automation tools, starting with AI voice surveys of employees. Corporate development, transformation and consulting teams use Sona8 to find out how to improve or automate processes.\n\n<https://www.youtube.com/watch?v=jGs7M46UsSE>\n\nWe're [Thilo](https://www.linkedin.com/in/ttamme/), [Madeleine](https://www.linkedin.com/in/mmalmsten/) and [Anton](https://www.linkedin.com/in/anton-hantel/). We're building Sona8.\\\nAt BCG and McKinsey we often interviewed a few dozen people, hired interpreters and came back with a deck. The processes that were written down were never the lived processes and a few dozen interviews never gave us the full picture.\\\n\\\n**How it works**\n\n* **Choose what you want to improve or automate.** Pick a question and the people to survey. This could be about sales quoting or mapping processes before implementing AI.\n* **Survey employees with AI voice agents.** Employees talk to our voice agent about their work, in their own language. The agent asks follow-up questions to understand the problems they describe.\n* **Use the findings and check progress.** See themes across interviews by department, get process maps, and ask again later to see what changed.\n\n\\\n**Already live**\\\nWe’ve completed more than 10,000 employee interviews and signed one of the top three consulting firms.\\\n\\\n**Where this is going** \\\nCompanies will try a lot of AI agents and automation tools in the next few years. Each one needs to know how the work is done before it changes anything, and most of that isn't written down. Sona8 creates infrastructure for AI automation tools. Over time we are building a live context graph of workflows by reading the systems a company already uses and connecting them to what employees say. \\\n\\\n**Who it’s for**\\\nSona8 is for corporate development and transformation teams in enterprises, and the consulting firms supporting them. Reach out if you want to understand and improve how work gets done, roll out AI, or build AI tools that understand real-world workflows.\\\n**👉 [Book a demo](https://sona8.com/book-demo) / [anton@sona8.com](mailto:anton@sona8.com)**\n\n\\\n**Team**\n\n* [Anton Hantel (CEO):](https://www.linkedin.com/in/anton-hantel/) ex BCG, MIT MBA (dropped out)\n* [Thilo Tamme (CPO): ](https://www.linkedin.com/in/ttamme/)ex BCG X, TUM Conversational AI PhD (dropped out)\n* [Madeleine Malmsten (CTO):](https://www.linkedin.com/in/mmalmsten/) ex McKinsey QuantumBlack\n* [Jakob Schepers (Founding Engineer):](https://www.linkedin.com/in/jakob-schepers/) TUM CS Master's\n* [Niklas Schneider (Founding Account Executive): ](https://www.linkedin.com/in/nikschneider/) ITONICS, Maastricht SBE",
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        "created_at": "2026-10-09T14:30:04.447Z"
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    "id": 36906,
    "name": "Memorable",
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        "answer": "Our long-term vision is that AI agents accumulate experience instead of resetting after every session.\r\n\r\nIf Memorable succeeds, every completed task will make every future agent in an organization more capable. An agent facing a new goal will compose previously verified procedures, reason only about what is genuinely unfamiliar, and improve those procedures through use. Work that once required thousands of independent model decisions will become reliable execution over an evolving graph of operational knowledge.\r\n\r\nThe immediate implication is that we change what companies own. Today they rent intelligence from model providers while the experience generated by their agents disappears into logs. In the future, companies will own a durable memory of how their work gets done.\\\r\n\\\r\nThe greater vision however is a world where agents can pursue goals across weeks, months, and years; Memorable will be the runtime layer of abstraction for agents to do less menial work and more time thinking, planning, and orchestrating. **Long horizon tasks will be trivial.** Drift will be reduced 10x. \\\r\n\\\r\nAnd if everything goes perfectly, this **shared network** of **raw procedural intelligence** will get us one step closer to AGI."
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        "full_name": "Nikhil Krishnaswamy",
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        "founder_bio": "CS @ Stanford\nBuilding navigation for agents @ Memorable\nnikhil@memorable.sh",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikhil-krishnaswamy/",
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      {
        "user_id": 3250603,
        "full_name": "Advaiyt Sane",
        "title": "Founder/CTO",
        "founder_bio": "CS @ CMU '29\nCreating Memorable, turning agent reasoning into graph search. ",
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        "linkedin_url": "https://www.linkedin.com/in/advaiyt-sane-7a960a215/",
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      {
        "id": 115489,
        "title": "Memorable: graph procedural memory for AI agents. Stop re-teaching your agents!",
        "tagline": "Memorable gives AI agents procedural memory so they stop re-deriving the same workflow every time — cutting tool calls 60% and latency 40%.",
        "body": "# **_| TL;DR:_** Memorable records the tool calls an agent made to run a task, reuses that workflow on similar tasks instead of re-deriving through reasoning from scratch. –60% tool calls, –40% latency.\n\n<https://youtu.be/3m9I1zHSMPk>\n\n**Memorable turns agent reasoning into a graph search problem.**\n\n1. We **capture your agents' traces** and store them as a lightweight graph.\n2. When a similar prompt arrives, we **extrapolate a workflow with a graph search.**\n3. We **inject a short pointer** (50 to 100 tokens) into the prompt.\n\n![uploaded image](/media/?type=post&id=115489&key=user_uploads/2164442/8a549d1f-423e-4011-90b8-d8e0145a1323)\n\n# **So the agent runs deterministically instead of re-deriving a plan every. single. time.**\n\n### **_Forget tokenmaxxing._**\n\n**We're graph-first and anti-text so you SAVE time, tokens, and money.**\n\n* **–60% tool calls** and **–40% latency** on [**QM's**](https://github.com/yc-software/qm) benchmarks\n* **–20% turns** in [**Gbrain**](https://github.com/garrytan/gbrain) bench, ran [**GStack’s**](https://github.com/garrytan/gstack) /investigate skill with **–98% tokens**\n\n**Do your agents need procedural memory?**\n\n* Memorable is for anyone running agents that do the same work more than once.\n* We've built for **coding, support, ops, research, company brain, and browser/computer-use agents.**\n* If you find yourself repeatedly having to correct or guide your agents, they need procedural memory!\n\n### **Imagine a world where your agents don’t reason.**\n\n* Most agent memory layers store facts using text: preferences, docs, past chats, while Memorable stores procedures: the steps an agent takes to achieve an outcome.\n* We are able to encode this graphically using nodes and edges, making it incredibly agent-friendly and token-efficient, allowing most agents to skip the preliminary planning step altogether.\n\n**Try Memorable, your agent will onboard you!**\n\n```\nnpx memorable-cli\ncurl -fsSL https://memorable.sh/install.sh | sh\n```\n\n* Compatible with **Claude Code, Codex, Cursor, and Claude Cowork**\n* You can try it out live in [**QM**](https://github.com/yc-software/qm) and [**Gbrain**](https://github.com/garrytan/gbrain) (thanks [**@Joshua France**](https://bookface.ycombinator.com/user/211454) &amp;\n\n  [**@Garry Tan**](https://bookface.ycombinator.com/user/678)!)\n* Procedures live encrypted in your own cloud, or run entirely local.\n\n![uploaded image](/media/?type=post&id=115489&key=user_uploads/2164442/59c2f411-3d34-482a-ba18-a03e14ecc4e2)\n\n**Memorable Team**\n\n* [**Nikhil Krishnaswamy**](https://bookface.ycombinator.com/user/2164442) \\[Stanford CS\\]: created an iOS MCP interning at AGI Inc, research published in COLM and IEEE\n* [**Advaiyt Sane**](https://bookface.ycombinator.com/user/3250603) \\[Carnegie Mellon CS\\]: built dev tools at Nvidia that create 50k AV tests a month\n\n**We are looking for design partners!**\n\n* Would love to chat with teams **deploying agents at volume** (high tool-call or token spend, repeated workflows) willing to **pilot as design partners.**\n* Open to **custom harness and framework integrations** for your interesting use cases\n\nEmail [info@memorable.sh](mailto:info@memorable.sh) and we'll spend a day solving your memory problems with you, plus:\n\n* LIFETIME of Memorable Pro FREE\n* Reach out to us about anything agent memory-related, whether or not you use Memorable :)\n\nand grab a slot: [**cal.com/team/memorable/30**](http://cal.com/team/memorable/30)\n\n[website](https://memorable.sh) | [docs](https://memorable.sh/docs) | [try memorable](https://memorable.sh)\n\nLet's build something Memorable!",
        "url": "https://www.ycombinator.com/launches/U2j-memorable-graph-procedural-memory-for-ai-agents-stop-re-teaching-your-agents",
        "votes": 15,
        "created_at": "2026-09-17T19:00:00.406Z"
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        "body": "Hey everyone 👋 We’re Onur and Ece, founders of **Spine (F26)**. We previously founded companies together with over $1B in value, and Spine is the company we wish we’d had while building them.\n\nWe run **benefits, people ops, and compliance for startups for free**.\n\nInstead of giving founders another piece of software to manage, we give every company dedicated senior HR and benefits specialists who actually do the work, on top of the HRIS they already use — Rippling, Deel, Gusto, ADP, and others.\n\n### **TL;DR**\n\n* Dedicated senior HR + benefits specialists working directly with your team in Slack\n* Works on top of the HRIS you already use \n* We implement better-fit, more cost-effective health plans and have reduced healthcare costs by around **15% on average**\n* We run open enrollment, benefits administration, payroll, compliance, onboarding/offboarding, and employee support \n* It’s free for startups: we become your benefits broker and are paid by insurance carriers\n* **30+ startups already use Spine, many of them YC companies**\n\nwatch here: <https://www.youtube.com/watch?v=T6paMQfwwHU>\n\n### **The problem**\n\nRippling, Deel, Gusto, and other HR platforms are great software. But someone still has to operate them, deal with issues, coordinate with carriers, answer employee questions, manage compliance, and make sure nothing falls through the cracks.\n\nAt an early-stage company, it usually falls on the founder, COO, finance lead, or whoever happens to know the most about it. That work quickly becomes a second job.\n\nSoftware helps. But someone still has to do the work.\n\n### **What we built**\n\n**Spine does the work for you. For free.**\n\nEvery company gets a dedicated senior HR lead and benefits specialist who works directly with the team, primarily through Slack, on top of the systems they already use.\n\nWe:\n\n* Review your existing health plans and run the market for better options\n* Benchmark coverage and pricing to reduce healthcare spend\n* Run open enrollment and benefits administration\n* Handle employee benefits questions directly\n* Run payroll and resolve payroll issues\n* Handle compliance, onboarding/offboarding, and ongoing people ops\n\nYou don’t need to migrate away from Rippling, Deel, Gusto, ADP, or whatever HRIS you already use. **We operate on top of it.**\n\nFor benefits, we become your broker of record. Insurance carriers already pay broker commissions, so we use those commissions to provide the rest of the service for free.\n\n### **Why we started Spine**\n\nWe spent years building and operating startups ourselves and kept running into the same problem: as our companies grew, we accumulated more software for payroll, benefits, compliance, and HR, but **the work itself never disappeared**.\n\nWe thought startups shouldn’t need to build an internal HR team just to make all of this work.\n\nSo we built Spine.\n\nToday, **30+ startups use us**, and we’re taking this work completely off their plates while also reducing what they spend on healthcare.\n\n### **Our ask 🙏**\n\nIf you’re running a startup, **get a senior HR and benefits team dedicated to you, for free.**\n\nYou can use us if:\n\n* your health insurance renewal or open enrollment is coming up\n* you’re thinking about leaving a PEO\n* you want to know whether you’re overpaying for healthcare\n* you need help with payroll, compliance or benefits\n* or you’re simply tired of spending time on work that has nothing to do with building your company\n\n**Send us what you have and we’ll start working for you right away, for free.**\n\nWe’d also really appreciate introductions to founders, CFOs, or people/ops leaders who could use the help.\n\nStart here: <https://hr.joinspine.ai/start>  or reach out to me directly here: [onur@joinspine.ai](mailto:onur@joinspine.ai)\n\nWould love feedback from the YC community ❤️",
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        "body": "Hi everyone, we’re Maria and Ary, founders of [Maritime](https://bookface.ycombinator.com/company/38061) (YC F26).\n\n**TL;DR:** Maritime is a fully managed cloud platform for running millions of AI agents, each on its own isolated, persistent VM.\n\n<https://www.youtube.com/watch?v=TnGXH9H0cTw>\n\n**Why we built Maritime** \n\nWe believe we’re heading toward a world with billions of AI agents. Everyone will have agents working for them, and businesses will run entire teams of AI employees. A new generation of startups will build and sell these agents, giving every customer one of their own.\n\nWe started working on Maritime when OpenClaw was released. Now, with dots, Instinct, Grok Bot, and Muse, that future is taking shape. We saw the infrastructure challenge firsthand while hosting hundreds of agents during our research at MIT. Even at that scale, our time went into getting environments running, maintaining them, and debugging individual agents.\n\nRunning billions of agents will require infrastructure that lets developers give each one a persistent computer and manage entire fleets with ease. We’re building Maritime to make that possible, so any startup can launch an agent product, give every customer their own agent, and scale it to millions in no time.\n\n![uploaded image](/media/?type=post&id=120824&key=user_uploads/3118952/6772cfd5-737c-4278-8a02-ec3793cb070b)\n\n**What Maritime does**\n\nMaritime gives every agent a persistent computer and manages the infrastructure around it:\n\n* **An isolated VM for each agent.** Run code, install software, and use a browser.\n* **Pricing built for scale.** Hosting starts at $1 per agent per month, making it practical to give every customer their own persistent computer and grow your fleet as your product grows.\n* **Persistence between tasks.** Keep files, memory, installed software, and logins so agents can pick up where they left off.\n* **Tools to manage individual agents.** Inspect, debug, and fix each customer’s agent directly.\n* **Different environments for different workflows.** Choose Linux computers, Windows desktops, or virtual Android phones based on the software and apps your agents need.\n\nYou can run your agent code inside a Maritime VM, or keep your agent on your existing backend and use MCP to let it control a Maritime computer.\n\n![uploaded image](/media/?type=post&id=120824&key=user_uploads/3118952/db071ab8-94f8-4245-9de8-f574cc2aba1d)\n\n**Who it’s for**\n\nTeams building and selling AI employees, personal assistants, and other products where every customer has an agent of their own.\n\nWe want founders to focus on building and growing their products, with Maritime managing the infrastructure to run them.\n\n**Our ask**\n\n* **Try Maritime:** Host three agents for free at [maritime.sh](http://maritime.sh). Hosting starts at $1 per agent per month.\n* **Introduce us:** If you know teams building and selling agents, especially those deploying a separate agent or computer for every customer, please comment or connect us.",
        "url": "https://www.ycombinator.com/launches/VQm-maritime-fully-managed-cloud-for-running-ai-agents-at-scale",
        "votes": 23,
        "created_at": "2026-10-09T19:00:00.166Z"
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    "id": 38127,
    "name": "DeepMark",
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    "website": "https://www.deepmark.me",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "DeepMark is the authentication layer for AI voice. When an AI agent speaks, we embed a compact, machine-readable ID directly into the audio, not in metadata, which gets stripped the moment a file is touched. The ID resolves to a trust record, so a bank, a call center, or the person on the line can verify in real time who the agent is.",
    "one_liner": "A live watermark inside AI voice that survives phone calls",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
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    "year_founded": 2025,
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        "user_id": 2023960,
        "full_name": "Slavko Kovačević",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO at DeepMark (YC F26). PhD candidate in Computer Science. Cited by Meta, Microsoft, Sony, and Adobe.",
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        "linkedin_url": "https://www.linkedin.com/in/slavkokovacevic/",
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        "user_id": 2547276,
        "full_name": "Kosta Pavlović",
        "title": "Founder/CSO",
        "founder_bio": "Founder/CSO at DeepMark (YC F26). PhD in Computer Science. Pioneer of learning-based digital audio watermarking.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kosta-pavlovic",
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      {
        "id": 116233,
        "title": "DeepMark - Reinventing Trust in Voice",
        "tagline": "A live watermark inside AI voice that survives phone calls",
        "body": "<https://youtu.be/76SqazbxK4w>\n\nHey, we are Slavko and Kosta 👋\n\nWe have been working together for six years, first as two researchers at the University of Montenegro, now as founders. Somewhere along the way, we became best friends. Kosta is our CSO, and I am the CEO.\n\n**The problem**\n\nVoice is uniquely vulnerable to impersonation. A few seconds of audio is enough to clone anyone, and the same voice agents that answer a bank's phone can be turned around and pointed at the bank's customers. People have started to hesitate before picking up. Good technology scales good outcomes, and it scales bad ones just as well. Our job is simple. Restore trust in voice.\n\n**What we built**\n\nDeepMark is real-time audio watermarking for AI voice. When an AI agent speaks, we put a certificate inside the sound itself, on the voice company's side, as the voice is being generated. Not metadata, which gets stripped the moment a file is touched. The certificate becomes part of the voice.\n\n![uploaded image](/media/?type=post&id=116233&key=user_uploads/2023960/b3239118-82c1-4fb4-82c2-f4363685a0be)\n\nThen the voice goes out into the real world, and the real world is rough on audio. Compression, codecs, a bad connection, a cheap speaker, a worse microphone. Think about how flat a human voice sounds over the phone. Our certificate survives the trip. On the other end, a phone, a call center, or an API reads it and shows who is speaking, who issued the certificate, and whether this agent is allowed to be on the line. Detectors ask whether audio is fake. We answer who is authorized to speak.\n\n![uploaded image](/media/?type=post&id=116233&key=user_uploads/2023960/171abdf5-efb9-442b-a153-dbbb1ba981d4)\n\n**Why this is hard**\n\nFour things have to hold at the same time. It has to be real time, or a phone call makes no sense, and voice companies already fight for every millisecond. It has to leave the audio quality alone, nobody trades a worse voice for a safer one. It has to survive the phone line. And the ID has to be long enough, because the longer the ID, the more certificates we can issue. A watermark that works beautifully in the lab falls apart the moment audio meets a phone line. And a live call has no file to sign. Nothing survives the trip except the sound itself, so the identity has to live inside the sound. We spent years hitting that wall. Then we built a tool that measures all four at once and published it, so anyone can check our work, and everyone else's.\n\n![uploaded image](/media/?type=post&id=116233&key=user_uploads/2023960/a9930538-1deb-4609-8938-4bdbcf8c88ce)\n\n**How we got here**\n\nOur mentor, who did his PhD in digital watermarking, told us not to bother. The field was saturated, nothing left to contribute. We were too stubborn to listen, and our learning-based approach turned out to be one of the first of its kind.\n\nKosta wrote his PhD on watermarking along the way. I am still writing mine! We published some of the earliest work in deep audio watermarking, cited by teams at Meta, Microsoft, Sony, and Adobe. This year our robustness benchmark landed in IEEE Access, and our AWARE paper was accepted at EUSIPCO. Before YC, we signed our first platform license with a leading voice AI provider, and it is now in production.\n\n**Our ask**\n\nWe want to meet voice AI companies. If you build voice models, book 20 minutes with us and we will run DeepMark on your own audio, so you can see the mark survive your calls. The EU AI Act's marking rules already apply and the 2 December deadline for systems on the market is close, so this is a good month to talk. If you know someone at a voice AI platform, an intro means a lot to us.\n\n[slavko@deepmark.me](mailto:slavko@deepmark.me), or book a demo at [deepmark.me](http://deepmark.me). Thanks for reading. 🇲🇪 → 🌉",
        "url": "https://www.ycombinator.com/launches/UEj-deepmark-reinventing-trust-in-voice",
        "votes": 29,
        "created_at": "2026-09-22T16:00:00.415Z"
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    "name": "Plyxl",
    "slug": "plyxl",
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    "website": "https://plyxl.com/",
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    "long_description": "Plyxl is the workspace that molds to your business. It builds apps, creates automations, and works across your entire company.",
    "one_liner": "The workspace that does the work",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1792084503,
    "tags": [
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      "Enterprise",
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2027",
    "status": "Active",
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    "regions": [
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    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/plyxl",
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    "year_founded": 2026,
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    "linkedin_url": "https://www.linkedin.com/company/plyxl",
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    "github_url": "https://github.com/Plyxl",
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      "name": "Harshita Arora",
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        "full_name": "Nirmay Singh",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of Plyxl. Previously founded The Game Box, an open-source educational game platform serving 5,000+ active monthly classroom users worldwide.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nirmay-singh/",
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        "full_name": "Aarush Bhardwaj",
        "title": "Founder/COO",
        "founder_bio": "Founder & Head GTM at Plyxl. prev @ UIUC",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aarush-bhardwaj-6007a22a4/",
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        "user_id": 3491806,
        "full_name": "Mitch Crevier",
        "title": "Founder/COO + President",
        "founder_bio": "Founder and President @ Plyxl | CS Dropout from UIUC",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mitchellcrevier",
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        "full_name": "Nirek Shetty",
        "title": "Founder/CTO",
        "founder_bio": "Founder/CTO at Plyxl\nPrev. Product Engineer @ Penseum (1.6M users)\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nirekshetty/",
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    "website": "https://boxes.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Port your development environment to the cloud. Give every coding agent on its own cloud computer, bring your Codex or Claude subscription, start agents from Slack and Linear, and manage them from your desktop, phone, or terminal.",
    "one_liner": "Cloud development environments for AI coding",
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        "full_name": "Nick Bushak",
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        "founder_bio": "Co-founder @ Boxes.dev. Before Boxes.dev, Nick founded Gem, a recruiting CRM used by most high growth tech companies, and led engineering teams at Facebook.",
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        "full_name": "Drew Regitsky",
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        "founder_bio": "Co-founder @ Boxes.dev. Previously first engineer/employee at Gem (YC S17). MIT '10.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/drewregitsky",
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